Paper · Catalog reviewed 2026-10-14
Metadata only
Caller identity within and across call types; method comparator for evaluation splits, not a behavior/context dataset.
Review, rights and research limits
- Version or release
- Royal Society Open Science 10:230835 (2023)
- What we reviewed
- Final-article abstract plus targeted Methods/Figure 4 text surfaced by the primary PMC index; official pinned repository README and existing 2020 annotation sample reviewed. Direct full-text retrieval was CAPTCHA/timeout limited. Supplement and full analysis code were not audited or run.
- Access described in the record
- DOI and open-access institutional record; no raw audio acquired. Large archives are listed separately in Edmond.
- Current research decision
- Do not admit as the first context-prediction benchmark. Consider only a separately scoped caller-identity reproduction after inspecting split scripts, annotation reliability and component rights.
- Limitations
- The paper predicts marked caller identity across call types, not behavior or meaning. Its cross-call figure splits recordings, apparently retaining known identity classes; this is not unseen-individual generalization. Existing behavior text is not independently audited context ground truth. No replication performed.
- Attribution
- Smeele, Senar, Aplin and McElreath (2023), DOI 10.1098/rsos.230835.
- Declared license
- CC-BY-4.0
- License scope
- Article text; no automatic license for linked data/code.
- Stated conditions
- Credit authors/source and indicate changes. This collection publishes original summaries and links only.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-09-30
Limited sample route
Reproducible acoustic comparisons and identity analysis.
Review, rights and research limits
- Version or release
- 293b2c8d0c3b8e21a4eaa0511fe563207095765a
- What we reviewed
- README, license, file tree, commit and downloaded data-preparation/MFCC scripts inspected; no execution or complete code audit.
- Access described in the record
- Public pinned GitHub files.
- Current research decision
- Acquire a small code sample; inspect before any execution.
- Limitations
- Selected files are not a complete runnable environment or reproduced result. R/Stan dependencies and large supporting files are absent. Scripts install packages dynamically and source unpinned helpers. The MFCC sample uses globally scaled distances; implement train-only preprocessing for any new held-out classifier.
- Attribution
- Simeon Quirinus Smeele; copyright 2022; related Smeele et al. (2023).
- Declared license
- MIT
- License scope
- Repository code; Edmond v1 separately declares MIT for the deposited dataset.
- Stated conditions
- Retain the copyright and permission notice. No warranty. Do not infer permission for omitted third-party files.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- A bounded sample path is approved by the collection rules; this is not scientific or training admission.
Dataset · Catalog reviewed 2026-10-13
Limited sample route
Inspect labels and group keys; the sample is not yet suitable for a context-association benchmark.
Review, rights and research limits
- Version or release
- 293b2c8d0c3b8e21a4eaa0511fe563207095765a
- What we reviewed
- The pinned README field definitions and Git tree were reviewed. The 34,517-byte local CSV's Git blob SHA-1 and SHA-256 were recomputed; its Git blob matches the pinned GitHub file. The existing aggregate report is research/parrot_sample_report.json. On 2026-10-13, the official Edmond v1 API reconfirmed version 1, publication date 2023-09-07, dataset-level MIT, and three ZIP files totaling 100,498,691,932 bytes with provider-reported MD5 values. The dataset-version metadata has fileAccessRequest=true; file-level access/restriction status was not resolved. Current official Edmond user guidance and Terms of Use were reviewed. Download requires acceptance of Edmond terms and the dataset license; none was accepted. No Edmond file or archive was downloaded.
- Access described in the record
- The selected 34,517-byte GitHub annotation table is local under ignored external storage and checksum-verified against its pinned GitHub source. Edmond v1 lists three archives totaling 100,498,691,932 bytes; none was downloaded. The exact CSV's presence and byte identity inside Edmond, and file-level access status, remain unverified. Edmond's current terms require acceptance before download; no terms were accepted.
- Current research decision
- The sample has 808 rows, 752 populated behavior entries and 176 distinct nonempty behavior strings. The README says multiple Raven selections may share one annotation_ref, so rows are not necessarily independent call-level labels. Retain it as a static local reference only; keep training admission false and do not redistribute pending Edmond-member provenance, privacy review, linked recordings, independent context labels and group audit. If a specific retrieval becomes scientifically justified, first prepare a single-file identity/privacy review and obtain explicit approval before accepting Edmond's terms or retrieving any file.
- Limitations
- No Edmond audio or archive acquired. Behavior is free text recorded during or just before vocalizations and may contain multiple values; 2020 sequence context is separately documented. Labels cannot be assumed independent, exhaustive or suitable. Edmond's MIT declaration applies at released-dataset level but does not prove the GitHub copy's membership in that deposit. The API's dataset-level fileAccessRequest flag does not resolve access for any individual file. Full recording overview includes coordinates and is excluded.
- Attribution
- Smeele et al. (2023); data DOI 10.17617/3.RUIM5I v1.0; GitHub snapshot separately pinned.
- Declared license
- MIT
- License scope
- The official Edmond API declares MIT for the released v1 dataset as a whole. Edmond's Terms of Use and per-dataset license are separate download conditions. The selected GitHub CSV is verified against the pinned GitHub commit, but exact identity within the Edmond archives is not verified. Repository code, article text and recordings remain separate components.
- Stated conditions
- The current Edmond user guide requires acceptance of Edmond's Terms of Use and the dataset license before download. Do not infer that a public MIT label resolves the separate GitHub-to-archive identity, file-level access, privacy, or redistribution questions. No terms were accepted and no Edmond bytes were downloaded.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- A bounded sample path is approved by the collection rules; this is not scientific or training admission.
Dataset · Catalog reviewed 2026-10-14
Metadata only
Near-match for group/day/block-level vocal-sociality analyses; not an event-aligned sound-to-behavior benchmark.
Review, rights and research limits
- Version or release
- Dryad deposit updated 2024-02-05; 68.14 MB
- What we reviewed
- Reviewed the official Dryad version history, file inventory and README data dictionary, including the interobserver workbook description; the primary article's animal housing, experimental outline, audio recording and video recording Methods were reviewed through PMC-indexed full text and a coauthor-hosted article PDF. Dryad reuse guidance was reviewed. Direct PMC page access encountered CAPTCHA. No Dryad file was downloaded; the workbook and R code were not opened or run, and reliability statistics were not recalculated.
- Access described in the record
- Public Dryad metadata lists a 68.14 MB February 2024 version with derived contact-call feature tables, social-interaction and proximity tables, an interobserver workbook, example video and R scripts; no original call WAV files are listed.
- Current research decision
- Keep metadata-only and do not admit it as the first event-level context benchmark. A separately scoped aggregate vocal-learning/sociality question may be considered only after exact group/date/block joins, missingness and unit-of-analysis review, and independent scientific review; no model run is proposed.
- Limitations
- The study formed 12 novel flocks of four adult males in two age classes. Individual contact calls were recorded in separate 55-minute sessions, with the focal bird in a sound-isolation chamber, visually but not acoustically connected to flockmates. Social behavior was captured in separate 80-minute video sessions of the newly formed experimental flocks; early-morning sessions were coded for interactions and both sessions for proximity. The deposit provides derived call features and social codes with overlapping flock/date/block metadata, but no source call audio or shared call/event timestamps. This cannot support event-level sound-to-behavior prediction. The 12-flock design and age treatment constrain generalization. The README documents an interobserver workbook with a subset recoded by a second observer, but that workbook has not been inspected and no agreement value is claimed.
- Attribution
- Moussaoui, Overcashier, Kohn, Araya-Salas and Wright (2023), DOI 10.1098/rspb.2023.0365; dataset DOI 10.5061/dryad.fttdz08xr.
- Declared license
- CC0 per Dryad's repository-wide dataset reuse policy
- License scope
- Dryad data deposit under repository-wide CC0 guidance; included R scripts are software and their separate license was not verified. The related journal article separately declares CC BY 4.0.
- Stated conditions
- Cite the dataset as scholarly practice. No files were acquired, no per-file notices were checked in file contents, and no script was executed. Keep data, code and article rights separate.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-09-30
Limited sample route
Embedding search, annotation and lightweight classifier workflows.
Review, rights and research limits
- Version or release
- 050c57b5dac2f6d28ab1f562fa2000c8dcbc2302
- What we reviewed
- Official README, license and pinned model configuration acquired; configuration entries inspected. No installation or model audit.
- Access described in the record
- Public pinned GitHub files.
- Current research decision
- Acquire documentation/configuration to guide integration; defer installation and weights.
- Limitations
- Code license does not prove rights for every model, input dataset or downstream use. No inference performed.
- Attribution
- Google Research / Perch-Hoplite contributors; Apache-2.0 notices in source.
- Declared license
- Apache-2.0
- License scope
- Repository software only.
- Stated conditions
- Retain applicable license, copyright and NOTICE terms; track modifications. Model and dataset terms require separate review.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- A bounded sample path is approved by the collection rules; this is not scientific or training admission.
Model · Catalog reviewed 2026-10-14
Metadata only
Frozen acoustic representation candidate.
Review, rights and research limits
- Version or release
- perch_v2_cpu/1 (official pinned Hoplite configuration)
- What we reviewed
- Exact Google CPU variation/version page reviewed; cross-checked the version pin and input/embedding configuration against frozen Perch-Hoplite source. No model package downloaded or run.
- Access described in the record
- Public exact-version model card; it lists a 410.28 MB package and says CPU-compatible. Package bytes, checksum and runtime were not inspected.
- Current research decision
- Keep as a metadata-only candidate. The exact variation card declares Apache-2.0, but artifact integrity, additional download terms, training-data provenance, preprocessing and scientific fit still need review before use.
- Limitations
- The parent card names public audio sources but does not provide an item-level training manifest or license audit. Pretraining overlap is unknown; no runtime, accuracy, cost or phone performance was measured. This is an acoustic representation, not a communication model.
- Attribution
- Google Perch team; see official model card.
- Declared license
- Apache-2.0 (declared by the exact CPU variation/version card)
- License scope
- The Google Perch v2 CPU variation, version 1 model artifact as listed on Kaggle. This declaration does not establish rights in the underlying training recordings or resolve any additional platform terms.
- Stated conditions
- Follow Apache-2.0 notice and attribution conditions. Before adoption or redistribution, verify the exact downloaded bytes and applicable terms; review training-data provenance separately.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-09-30
Metadata only
Bird-vocalization presence detection; not observed behavior.
Review, rights and research limits
- Version or release
- v2 / DOI 10.5281/zenodo.1208080
- What we reviewed
- Depositor description, label definitions, file inventory and Conditions of Use reviewed.
- Access described in the record
- 16.5 GB ZIP advertised; no small file selected.
- Current research decision
- Metadata only; potential detector benchmark, not the first context dataset.
- Limitations
- Bird/no-bird labels; sensor/time origin of excerpts is hidden from participants, limiting leakage-safe reconstruction of field splits. No known individual identities.
- Attribution
- Lostanlen, Salamon, Farnsworth, Kelling and Bello; cite BirdVox-full-night (ICASSP 2018).
- Declared license
- CC-BY-4.0
- License scope
- Dataset and contents under depositor Conditions of Use.
- Stated conditions
- Credit creators/source and indicate changes. No warranty.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Metadata only
45-task, 37,718-example evaluation suite for acoustic perception, biological-category recognition, scene understanding and in-context learning.
Review, rights and research limits
- Version or release
- Metadata revision 2fc58150c9541698ffc82aaf1f5d5a44993c54bf; benchmark scope updated from arXiv:2610.10663 on 2026-10-23
- What we reviewed
- Targeted preprint review: abstract, task taxonomy, data construction, benchmark split description, reported limitations and reproducibility statement; official project page and current Hugging Face card. No row-by-row audit or evaluation run.
- Access described in the record
- Public dataset card; audio not downloaded.
- Current research decision
- Metadata only. Use as a capabilities/evaluation reference; keep public test examples out of training for any independent benchmark claim.
- Limitations
- The paper describes real benchmark audio with human- or dataset-provided annotations and says text construction does not introduce new labels. Those annotations still do not measure receiver comprehension or animal-reported meaning. Mixed source licenses and heterogeneous tasks remain.
- Attribution
- Earth Species Project and the underlying source-dataset creators.
- Declared license
- CC-BY-NC-SA-4.0 plus mixed component licenses
- License scope
- Dataset card and per-record license fields; not a uniform permissive corpus.
- Stated conditions
- Audit each underlying source and preserve noncommercial/share-alike restrictions and benchmark splits.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Not admitted for this project.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Metadata only
Training supervision across four bioacoustic capability tiers; paper reports 43,922,135 audio-language conversations. The project overview says 6.5 million distinct audio clips; the current card's resolver index says 4,745,972 distinct references; definitions not reconciled.
Review, rights and research limits
- Version or release
- Described in arXiv:2610.10663 (2026-10-07); official card checked 2026-10-23
- What we reviewed
- Targeted primary preprint and official project/Hugging Face card review. Public card preview and stated construction inspected; no training shards, source audio, code or weights acquired, and no run performed.
- Access described in the record
- Public card and preview; the paper says ROOTS does not redistribute source audio and supplies retrieval/preprocessing guidance. No data acquired.
- Current research decision
- Keep metadata-only. Treat as a methods reference; do not admit to Talk2Nature training or commercial assets until source-level rights, provenance and task-label construction are audited.
- Limitations
- Pairs combine curated archives, structured and free-text metadata, audio-derived information and synthetic audio. LLM-generated text can contain unsupported claims; synthetic scenes are not natural animal interaction records. Pair count is not a count of unique meanings or independent observations. Overview and resolver-index audio counts have different stated units and remain unreconciled.
- Attribution
- Earth Species Project and the creators of each underlying source dataset; cite Plachouras et al. (2026), arXiv:2610.10663.
- Declared license
- Hugging Face card reports `other`; underlying audio and metadata have source-specific terms.
- License scope
- No uniform license or commercial reuse permission established by this metadata review.
- Stated conditions
- Audit each source record and preserve source restrictions before any download, training, redistribution or product use.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Not admitted for this project.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-09-30
Metadata only
Behavioral playback controls for claims about meaning and call order.
Review, rights and research limits
- Version or release
- Nature Communications 7:10986 (2016)
- What we reviewed
- Existing same-day methods review reused from content/research.json; no new full-text review in this collection.
- Access described in the record
- Original summary/source links already in the project library.
- Current research decision
- Retain as study-design reference; initial Talk2Nature acquisition stays passive.
- Limitations
- Species-specific controlled experiment; cannot establish general translation. No new playback is authorized.
- Attribution
- Suzuki, Wheatcroft and Griesser (2016), DOI 10.1038/ncomms10986.
- Declared license
- Not assessed for collection
- License scope
- Paper redistribution not admitted; original project summary only.
- Stated conditions
- Link to primary paper; do not copy full articles or figures.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-14
Metadata only
Methods comparator for within-cohort caller identification, contact-call convergence and receiver response; not a semantic or phone-audio benchmark.
Review, rights and research limits
- Version or release
- Current Biology 33(24), 5415–5426.e4; published online 2023-12-08; DOI 10.1016/j.cub.2023.11.014; PMCID PMC10799565
- What we reviewed
- Full article text accessed through NCBI PMC E-utilities and reviewed for abstract, call-elicitation paradigm, VAE/SVM methods, results, discussion, animal-care statement and data/code availability. No article PDF or additional data was retained; no reanalysis or independent review was performed.
- Access described in the record
- PMC hosts the article text and NCBI E-utilities provides its full-text XML. The article says the Mendeley data deposit can be accessed separately and custom scripts are available from the lead contact.
- Current research decision
- Metadata-only. Publish a short original summary and link; do not redistribute article text, figures or custom code. Keep the Mendeley dataset as a separate component with its own license and acquisition decision.
- Limitations
- The reported caller-identification score uses a random call-level split among the same known birds, not an unseen-bird holdout. The controlled paradigm uses captive birds, loudspeaker playback and specialized microphones; a separate five-bird neural-inactivation experiment is invasive and does not establish call meaning or consumer-app performance.
- Attribution
- Zhao et al. (2023). Anterior forebrain pathway in parrots is necessary for producing learned vocalizations with individual signatures. Current Biology 33(24):5415–5426.e4. DOI 10.1016/j.cub.2023.11.014.
- Declared license
- No open redistribution license was established for the article. PMC states that its text is available for text mining and may be used consistently with fair-use principles; this is not a Creative Commons license.
- License scope
- Journal article text only. The linked Mendeley dataset and custom scripts have separate rights and are not covered by this record.
- Stated conditions
- Cite and link; publish only an original summary. Do not redistribute the article, figures or code without confirming their terms.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-14
Limited sample route
Species-specific feasibility and future baseline design.
Review, rights and research limits
- Version or release
- 10.17632/j8rpy4dc6c.1
- What we reviewed
- Rechecked the official version-1 landing-page description and CC BY 4.0 notice on October 14. The page describes MATLAB struct-array data including raw audio, says Figure 2 data are in ColonyNoiseCalls and Figures 3–5 data are in acoustiSAT_MAO.mat. The existing checksum-pinned one-file structural report remains the only local MAT inspection; this review did not parse or acquire additional files. The official file-list API is documented as OAuth2-authenticated; a no-token request returned HTTP 401.
- Access described in the record
- The public landing page describes the collection and its figure-level organization. The official API documentation describes OAuth2 for file-list access; the unauthenticated version-1 file-list request returned HTTP 401, so no current file manifest or per-file mapping was obtained.
- Current research decision
- The existing 1,486,634-byte sample remains for local structure inspection only: 15 call structures, 82,315 raw samples and stored fs 44101. The earlier sample report places it in ColonyNoiseCalls, which the landing page associates with Figure 2. This still does not resolve its individual caller/session/condition. No training, model evaluation or public audio publication.
- Limitations
- The single smallest-file selection is biased and is not a representative corpus. Figure 2 concerns contact-call identity in an eight-bird cohort, but this file has no verified mapping to a named bird, session or experimental condition. No independent visible-behavior label is present in the inspected container. The paper's reviewed methods do not state a digitization sample rate, so the stored fs value 44101 remains unexplained; do not silently normalize it. MATLAB object times and the saved function workspace were not interpreted or executed. Filename text is not evidence of response semantics. See research/budgerigar_sample_report.json.
- Attribution
- Zhao (2023) budgerigar data; authors credited at the source record.
- Declared license
- CC-BY-4.0
- License scope
- Dataset files in this versioned deposit; deposit-level declaration, not an independent third-party rights audit.
- Stated conditions
- Retain attribution and verify component-specific rights before reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- A bounded sample path is approved by the collection rules; this is not scientific or training admission.
Dataset · Catalog reviewed 2026-10-03
Metadata only
Species-specific feasibility and future baseline design.
Review, rights and research limits
- Version or release
- 1.0.2 / record 4008297
- What we reviewed
- Deposit description and rights metadata; file contents not yet reviewed.
- Access described in the record
- Public metadata; see acquisition decision.
- Current research decision
- No acquisition or commercial integration under the current permissive-only policy.
- Limitations
- Non-commercial restriction; elicited contexts are not participant instructions.
- Attribution
- CatMeows data; authors credited at the source record.
- Declared license
- CC-BY-NC-4.0
- License scope
- This named component only, not linked papers, code, media or weights.
- Stated conditions
- Retain attribution and verify component-specific rights before reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-03
Metadata only
Species-specific feasibility and future baseline design.
Review, rights and research limits
- Version or release
- 1 / record 8252482
- What we reviewed
- Deposit description and rights metadata; file contents not yet reviewed.
- Access described in the record
- Public metadata; see acquisition decision.
- Current research decision
- Defer the large archive until metadata suitability is audited.
- Limitations
- Released subset differs from the paper; no identity/session split audit yet.
- Attribution
- Soundwel pig calls; authors credited at the source record.
- Declared license
- CC-BY-4.0
- License scope
- This named component only, not linked papers, code, media or weights.
- Stated conditions
- Retain attribution and verify component-specific rights before reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-12
Metadata only
Species-specific feasibility and future baseline design.
Review, rights and research limits
- Version or release
- record 8342596
- What we reviewed
- Paper data-availability, split and selected results sections; official Zenodo API metadata and five-file inventory. No data bytes reviewed.
- Access described in the record
- Public metadata; API lists five files, including 7.2 GB raw-data and 11.4 GB preprocessed archives. No dataset file was downloaded.
- Current research decision
- Keep metadata-only until the article's CC0 statement and Zenodo record-level CC BY 4.0 declaration are clarified.
- Limitations
- Multi-label species identification, not a call-meaning benchmark. The paper describes one-minute recording grouping, not site- or year-held-out evaluation. Files, weights and reported outputs were not independently inspected or reproduced.
- Attribution
- AnuraSet frog calls and labels; authors credited at the source record.
- Declared license
- unresolved: paper CC0; record API cc-by
- License scope
- This named component only, not linked papers, code, media or weights.
- Stated conditions
- Do not acquire or reuse while paper and record-level declarations conflict; clarify the exact data-component license first.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-12
Limited sample route
Species-specific feasibility and future baseline design.
Review, rights and research limits
- Version or release
- 0f8ec818fc961ee5b0eab0aec1afc4b51b01f9d4
- What we reviewed
- README, exact pinned MIT license and evaluator read as text at the recorded commit; not executed.
- Access described in the record
- Public metadata; see acquisition decision.
- Current research decision
- The approved source sample is inspected. Do not execute; dataset loader, split construction, training code, dependencies and checkpoint remain outside this review.
- Limitations
- No model weights or animal recordings included; baseline performance not reproduced. The evaluator's sigmoid/BCEWithLogitsLoss mismatch affects its progress-only loss display; it does not by itself invalidate the separately computed saved metrics.
- Attribution
- AnuraSet baseline code sample; authors credited at the source record.
- Declared license
- MIT
- License scope
- This named component only, not linked papers, code, media or weights.
- Stated conditions
- Retain attribution and verify component-specific rights before reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- A bounded sample path is approved by the collection rules; this is not scientific or training admission.
Dataset · Catalog reviewed 2026-10-11
Metadata only
Noncommercial methods comparator for synchronized audio/video and observable behavior labels; modality-ablation design.
Review, rights and research limits
- Version or release
- v3 / record 15588220
- What we reviewed
- Zenodo v3 metadata, file inventory and declared license; arXiv v2 sections 3.1–3.4, 5 and 9.1–9.2; official GitHub README, evaluation interface and MIT LICENSE.md reviewed. Full archive and supplementary methods were not inspected; no data or code acquired or run.
- Access described in the record
- Public Zenodo release; 87.9 GB archive plus 13.5 MB dense-annotation file. The dataset license is noncommercial.
- Current research decision
- Retain as a noncommercial methods comparator only. Do not admit its media to the shared Talk2Nature corpus, commercial products or the first commercial-capable benchmark.
- Limitations
- Five wild mammal species, three sites in one park and six weeks of collection. Published split is day-level, not verified animal-level; annotation agreement and audio blinding were not established in this review. Authors note subjective labels and geographic/time limits. Benchmark training used four A100 GPUs. Not a parrot set or a language/meaning dataset.
- Attribution
- Gabeff et al. (2025), MammAlps v3, Zenodo DOI 10.5281/zenodo.15588220; cite the associated paper and dataset separately.
- Declared license
- CC-BY-NC-4.0
- License scope
- Dataset version 3 only; separate from the paper, MIT code, dependencies and any model weights.
- Stated conditions
- Attribution and noncommercial use required. Talk2Nature does not admit this dataset to its shared or commercial benchmark path; seek separate review for any noncommercial academic study.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-11
Metadata only
Potential species-specific vocal-development reference; not an event-context or semantic-translation benchmark.
Review, rights and research limits
- Version or release
- Dryad v6 (API version record 180872); published 2022-05-31; last modified 2022-06-01
- What we reviewed
- Exact Dryad record, Abstract, Methods, API dataset/version records and three-file inventory reviewed, including per-file SHA-256 metadata. End User Terms (updated May 20, 2025) and Publication Policies (updated April 8, 2026) say published datasets are made public under CC0; no separate exception is displayed on this record. An unauthenticated byte-range request to the API download route returned 401; the web file-stream route returned HTML headers rather than a file. No file bytes, article PDF or supplement were downloaded.
- Access described in the record
- Official Dryad API v6 inventory totals 2,600,218,232 bytes: AllBouts.zip (2,556,303,736 bytes), the measurements workbook (43,909,749 bytes) and README20220326.csv (4,747 bytes). The README has SHA-256 ae6e5cdf1067de3a11a5561a304a4bea47ba816b2c7f4063fdc98a1f417daf50; exact file IDs, sizes and hashes are cataloged below. No data bytes were acquired.
- Current research decision
- Keep metadata-only. Dataset-level CC0 and a version-pinned inventory are documented, but the contents remain uninspected and the tested download routes did not return the file. Obtain it only through an authorized route, then inspect schema, linkage, interventions and contents; decide with an avian vocal-development reviewer whether a bounded developmental question justifies acquisition. This is not a call-context or semantic-translation benchmark.
- Limitations
- Wild green-rumped parrotlet nestlings at one station in 2017–2018; the study includes corticosterone supplementation. Individual/session joins, timestamped independent behavior labels, audio-video timing, split design and full dataset contents were not reviewed. The repository's license declaration does not establish privacy/welfare suitability, benchmark fitness or model admission. It does not establish call meaning.
- Attribution
- Berg and Eggleston (2022), Green-rumped parrotlet vocal-babbling dataset, Dryad DOI 10.5061/dryad.k0p2ngfb3; cite the associated paper separately.
- Declared license
- CC0 1.0 under Dryad's published-dataset policy; no separate exception is displayed on this record
- License scope
- The published Dryad dataset only. The README and data files were not opened. The journal article, supplement, software, model weights and any embedded third-party content remain separate components.
- Stated conditions
- Dryad's current policy supports dataset-level reuse under CC0, but inspect the README and exact file contents, linkage, intervention structure and privacy/welfare implications before acquisition or model use. No files were downloaded or admitted to research.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-11
Metadata only
Non-commercial methods comparator for retrieving camera-trap clips from human-written queries about visible, labeled behavior; it is not an audio-language or animal-meaning benchmark.
Review, rights and research limits
- Version or release
- Dataset-card revision 04d96ea01312aab5727a39491ef1d736f1df2728
- What we reviewed
- arXiv v1 sections 1, 3.1–3.2, 4–7 and supplementary S1.1–S1.3; official EPFL project page; pinned Hugging Face card, version and license. No dataset files were downloaded.
- Access described in the record
- Public card lists about 75 GB of video and 2,865 clips. Its download snippets use a different repository handle from the project page's link; confirm the exact current handle before any acquisition.
- Current research decision
- Keep metadata-only as a non-commercial methods comparator. Exclude it from the shared and commercial-capable training paths; recheck access and rights before any separately approved academic use.
- Limitations
- Video-only, not a parrot dataset: seven Alpine mammal species, three sites in one Swiss national park, two non-overlapping field seasons (2023 and 2024), 15 camera views, 23 action labels and 12 activity labels. The 135 prompts were defined with a behavioral ecologist and matched to videos using ground-truth annotations; their independent reliability was not reviewed. The published split holds out acquisition days, not verified animal identities, and the authors note cross-season distribution shifts. Results use set-based F1 and were not reproduced: SALMA+agent reports 0.34 over all 135 queries (0.37 without video-comparison queries), while zero-shot InternVideo2.0 reports 0.18 only on the 113 non-comparison queries; these headline values are not a like-for-like all-query comparison. The dataset is CC BY-NC 4.0. No video, annotation, paper, code or checkpoint was acquired or run.
- Attribution
- Gabeff et al. (2026), Prompting-MammAlps / MammAlps-S2. Cite the paper and versioned dataset card separately.
- Declared license
- CC-BY-NC-4.0
- License scope
- The dataset card declares CC BY-NC 4.0 for MammAlps-S2 and the Prompting-MammAlps dataset; this does not grant code, article or model-weight rights.
- Stated conditions
- Non-commercial only; attribution required. Confirm the current data repository and its exact version before acquisition. No dataset files were downloaded.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-11
Metadata only
Potential reference for transparent query parsing and evaluation over structured camera-trap behavior annotations.
Review, rights and research limits
- Version or release
- main commit 9627d90b3917e9cc78e27fb08eba18d0fdaaa3c4
- What we reviewed
- Official README, pyproject, SALMA README, repository root inventory and GitHub license metadata reviewed. No code or weights were downloaded or executed.
- Access described in the record
- Public GitHub source repository. The root has no LICENSE file and GitHub reports no declared repository license; a public repository does not by itself establish reuse rights.
- Current research decision
- Metadata reference only. Do not copy, run or redistribute code until the authors' code license is clarified. Treat SALMA weights as unavailable until an exact release and separate weight license are verified.
- Limitations
- Repository code is separate from the CC BY-NC 4.0 dataset, paper and pretrained InternVideo encoder. The reported SALMA model checkpoints were not located; issue 1 asks about their future release. Installation, dependencies, security and baseline reproduction were not evaluated.
- Attribution
- Gabeff et al. (2026), official Prompting-MammAlps code repository at commit 9627d90b3917e9cc78e27fb08eba18d0fdaaa3c4.
- Declared license
- unresolved: GitHub repository license metadata is null and no root LICENSE file was found
- License scope
- Repository code only; dataset, paper, dependencies, InternVideo encoder and SALMA weights have separate rights.
- Stated conditions
- Seek explicit code-license confirmation before acquisition, execution, adaptation or redistribution. No code or weights were acquired.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-11
Metadata only
Candidate source for studying acoustic associations with caller, addressee and video-observed social context in Egyptian fruit bats.
Review, rights and research limits
- Version or release
- Figshare item 4556074 (2017; collection DOI 10.6084/m9.figshare.c.3666502)
- What we reviewed
- Primary 2017 data descriptor, NLM Dataset Catalog entry and direct public Figshare API metadata for item 4556074 reviewed. The API response was HTTP 200. No archive payload was downloaded or inspected, and the platform checksum was not verified locally.
- Access described in the record
- The data descriptor describes 293,238 WAV files (250 kHz, 16-bit) and 91,080 video-derived annotations. The direct Figshare API declares CC0 1.0 at the item level and lists one file, files210.zip, sized 3,049,199,327 bytes; its supplied and platform-computed MD5 fields match. The 2017 article's CC0 waiver is for article metadata only; the separate item license is the evidence for the dataset record.
- Current research decision
- Keep as metadata-only. The exact item license is now recorded, but it is one 3.05 GB ZIP; the current small-sample collector is capped at 5 MiB and has no Figshare adapter, and no bounded scientific sample has been scoped. Do not fetch, extract or admit the full archive by default. Seek a smaller documented file or design a separately reviewed acquisition path with content/hash verification. This is not yet a cleared training dataset.
- Limitations
- The 2016 context result used 14,863 calls from seven adult females and vocalization-level cross-validation, not a held-out-animal test. Labels describe video-observed interactions, not receiver comprehension. The 250 kHz laboratory setup is not equivalent to phone capture. No media, code or published result was independently checked.
- Attribution
- Prat et al. (2017), Egyptian fruit bat vocalization data descriptor; cite the exact Figshare item and data descriptor if later used.
- Declared license
- CC0-1.0 declared at the Figshare item level by the direct public API record; this records the repository's declaration, not an independent legal opinion
- License scope
- The API lists one ZIP as the item's file. Its contents and embedded third-party notices were not inspected. The 2017 article has a separate CC BY 4.0 text license and a CC0 waiver for article metadata.
- Stated conditions
- Item metadata reports one 3,049,199,327-byte file and matching supplied/platform-computed MD5 values, but no bytes were retrieved or locally hashed. Keep metadata-only until a bounded use is defined and a Figshare-aware path supports safe staging, exact-size/hash verification and retained provenance; do not extract or execute archives.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Limited sample route
Audit the schema and aggregate structure of video-observed caller, addressee, behavior and social-context labels; not a translation benchmark.
Review, rights and research limits
- Version or release
- Figshare item 4555903 v1; DOI 10.6084/m9.figshare.c.3666502_D1.v1
- What we reviewed
- Direct GET of the public Figshare API item record returned HTTP 200 and declared CC0 1.0. Its single Annotations.csv file was acquired into ignored external storage; exact size and API MD5 matched, and the local SHA-256 is recorded in the receipt and aggregate report. A schema-only audit found 91,080 rows across the paper's 10 columns, no malformed/blank fields, and exact matches to all published Table 4 category totals. No raw values were exported. Rechecked with the aggregate-only participant-pair audit; the complete report contains counts only, no raw row or identity values. On 2026-10-23, a checksum-verified metadata-only filter reproduced the EUSIPCO paper's 35,074-row count. The aggregate report records 34,603 selected FileIDs and a file/positive-known-participant graph with nine connected groups; its largest group contains 95.56% of selected rows. No raw row or identifier is exported.
- Access described in the record
- Public Figshare item API and direct file URL. The 2017 data descriptor describes this complete annotation table as 91,080 video-derived interaction annotations. This is one small archive component, not a sampled subset of rows; the raw file remains in ignored local storage.
- Current research decision
- Retain the one bounded annotation-table component locally for schema, filter-count and aggregate grouping review. The 35,074 count match does not verify the exact paper rows, folds or audio/session joins. Keep training_admitted false; do not publish raw rows.
- Limitations
- The API declares item-level CC0; this records the repository's declaration, not independent legal advice. The file has 87,986 distinct FileID values, with 3,094 rows beyond that count; the paper notes that files can hold multiple interactions. All intervals were valid and none duplicated, but matching published category totals checks transcription/aggregation, not annotation truth. Emitter/addressee zero and negative codes carry uncertainty. No audio, video, FileInfo timestamps, session grouping or held-out-animal benchmark was inspected. The pair graph uses both participant fields and absolute nonzero IDs, but does not recover FileInfo timing/channel joins, the paper’s filtered subset, or its exact fold membership. The metadata-only paper-filter reconstruction matches 35,074 retained rows across 34,603 FileIDs; it is count-level evidence, not a row-by-row or fold reproduction. Keeping each source file and positive known participant together yields nine connected groups, the largest with 33,516 rows (95.56%). Missing/uncertain role identities and session/channel/treatment/chamber joins remain unresolved; no model, audio or FileInfo content was inspected.
- Attribution
- Prat et al. (2017), Egyptian fruit bat data descriptor; Figshare item 4555903, DOI 10.6084/m9.figshare.c.3666502_D1.v1.
- Declared license
- CC0-1.0
- License scope
- The item API lists one file, Annotations.csv. The associated article describes it as video-derived caller, addressee, behavior and context annotations; no audio or video file is included in this item.
- Stated conditions
- Retain attribution and exact item/file provenance. The bounded collector verified the 3,286,405-byte size and API-reported MD5; its receipt records the local SHA-256. Keep the raw table local and ignored, and publish aggregate structural findings only.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- A bounded sample path is approved by the collection rules; this is not scientific or training admission.
Dataset · Catalog reviewed 2026-10-11
Metadata only
Methods comparator for sequence-level context classification and a possible source of derived encodings and annotations.
Review, rights and research limits
- Version or release
- Mendeley Data v3, published 2022-10-20
- What we reviewed
- Reviewed the exact version 3 landing page and official version 1/2 and 2/3 comparisons, including descriptions and declared CC BY 4.0 terms. Version 1/2 says v1 contained metadata only; v2/v3 list the same file categories. The documented public file-list endpoint specifies OAuth2; one anonymous v3 request returned HTTP 401. No manifest or file content was retrieved.
- Access described in the record
- Version 1 is described as metadata-only. Versions 2 and 3 describe phrase.rar example WAVs, 512-dimensional encodings for 326 annotated sequences, encodings for more than 28,000 syllables and context annotations. The record says the original WAVs are in the separate Prat et al. 2017 archive. No Mendeley credentials were used and no file content was retrieved.
- Current research decision
- Keep metadata-only. The deposit's CC BY 4.0 declaration does not clear example audio from the separate 2017 archive. The file-list API requires OAuth2; do not attempt authenticated access without explicit authorization. Before any sample, obtain a permitted file manifest, verify provenance and rights for every included artifact, and define a held-out-animal evaluation. Do not treat encodings or context labels as a translation dataset.
- Limitations
- The follow-up study's sequence analysis used data from three adult females and random eight-fold cross-validation; individual-level independence was not established. Results are context classification and need receiver-behavior validation. No code or model weights are included or reviewed here.
- Attribution
- Amit and Yovel (2023) data deposit, Mendeley Data version 3, DOI 10.17632/mjfv43zgtv.3; cite the associated papers separately.
- Declared license
- CC-BY-4.0 as declared on Mendeley Data version 3
- License scope
- Versions 2 and 3 declare CC BY 4.0 for the deposit; version 1 contains metadata only. Exact file contents and upstream audio provenance are unchecked; article, source archive, code and model weights have separate rights. The public file-list request returned HTTP 401 without OAuth2.
- Stated conditions
- Provide attribution and inspect the exact version 3 file inventory and per-file provenance before use. The example WAV description points to the separate 2017 archive. Obtain authorized OAuth2 access only if the owner approves; metadata-only status means nothing was acquired.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-11
Metadata only
Primary methods and benchmark reference for sparse event detection, call-type classification and event-level evaluation.
Review, rights and research limits
- Version or release
- Methods in Ecology and Evolution 17:875–888 (2026), DOI 10.1111/2041-210x.70218
- What we reviewed
- Publisher sections on dataset, labels, evaluation, results, discussion, ethics and separate component rights reviewed. Supplement was not reviewed; no code, data, weights or result were reproduced.
- Access described in the record
- Publisher article linked for reference; no article text or figures copied.
- Current research decision
- Use as a methods reference only. It does not establish animal-language translation or Talk2Nature performance.
- Limitations
- The five-fold multi-label protocol is described over samples; animal/session grouping was not verified. The article's separate held-out-data test is not shown here to be held-out-animal. The benchmark's labels are annotated call/event categories, not independent behavioral evidence of message meaning.
- Attribution
- Schäfer-Zimmermann et al. (2026), Methods in Ecology and Evolution 17:875–888, DOI 10.1111/2041-210x.70218.
- Declared license
- unresolved: article reuse license not reviewed for redistribution
- License scope
- Article text and figures; linked as a citation only. Dataset, code and model weights have separate terms.
- Stated conditions
- Cite and link to the publication; do not reproduce article text, figures or supporting files in this project.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-11
Metadata only
Non-commercial methods reference for rare-event detection and time-localized call-category labels in continuous audio.
Review, rights and research limits
- Version or release
- Edmond v1; DOI 10.17617/3.0J0DYB (2024)
- What we reviewed
- Dataset description and label structure reviewed in the 2026 peer-reviewed paper and official README; paper's separate CC BY-NC 4.0 data statement reviewed. Edmond file manifest and files were not inspected or acquired.
- Access described in the record
- Edmond reports 384,592 ten-second samples (1,068 hours), with 66,398 samples (184 hours) labeled and ground-truth-complete. Files are about 61 GB including labels.
- Current research decision
- Keep metadata-only and outside the commercial-capable corpus. A separate non-commercial reproduction would require a qualified reviewer, exact inventory and an authorized grouping plan before acquisition.
- Limitations
- Recordings use collars and nearby directional microphones; filenames are randomized to conceal individual and temporal identity. Eight vocalization categories and three non-call event categories are labeled; the focal designation is source attribution rather than call meaning. The sample-level split's animal/session grouping was not established in this review.
- Attribution
- Schäfer-Zimmermann et al. (2024), MeerKAT v1, Edmond, DOI 10.17617/3.0J0DYB; see the 2026 peer-reviewed methods paper for label and evaluation detail.
- Declared license
- CC-BY-NC-4.0 as stated in the peer-reviewed paper
- License scope
- Audio and label dataset; article, code and animal2vec weights have separate rights.
- Stated conditions
- Non-commercial license only. Do not add to shared or commercial-capable training data. Identity/time metadata is intentionally withheld and must not be inferred.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-11
Metadata only
Reference implementation for sparse, rare-event bioacoustic detection and call classification.
Review, rights and research limits
- Version or release
- Official repository; archived release cited as Zenodo DOI 10.5281/zenodo.17640321 (2025); exact archive not inspected
- What we reviewed
- Official repository overview/README and paper's code-availability statement reviewed. The code archive, commit contents, environment, dependencies and security were not audited or run.
- Access described in the record
- Public GitHub repository; final paper reports MIT and links an archived Zenodo version.
- Current research decision
- Metadata-only. Inspect a pinned release and its full dependency chain before adapting or executing it.
- Limitations
- MIT applies to code as declared, not the separately CC BY-NC 4.0 dataset/checkpoints or third-party dependencies. Published results were not reproduced by Talk2Nature.
- Attribution
- Schäfer-Zimmermann et al., official livingingroups/animal2vec repository; archived version DOI 10.5281/zenodo.17640321.
- Declared license
- MIT as stated in the peer-reviewed paper and official repository
- License scope
- Repository code only; datasets, checkpoints and third-party dependencies have separate terms.
- Stated conditions
- Retain MIT notices and verify the exact archived code and each dependency before reuse or execution.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Model · Catalog reviewed 2026-10-11
Metadata only
Published model checkpoint reference for MeerKAT call/event classification.
Review, rights and research limits
- Version or release
- Edmond v1; DOI 10.17617/3.ETPUKU (2024)
- What we reviewed
- Weight deposit and model card details were not inspected. The 2026 article's data-availability statement says the checkpoints use CC BY-NC 4.0.
- Access described in the record
- Separate Edmond model-weight deposit linked from the peer-reviewed article.
- Current research decision
- Keep metadata-only and outside any commercial-capable model path. Do not download, execute or infer transfer suitability from publication results.
- Limitations
- Weights were trained on the non-commercially licensed MeerKAT data. Training-data terms, architecture dependencies and transfer to other species remain distinct checks; Talk2Nature has not evaluated these weights.
- Attribution
- Schäfer-Zimmermann et al. (2024), animal2vec and MeerKAT pretrained/fine-tuned weights, Edmond v1, DOI 10.17617/3.ETPUKU.
- Declared license
- CC-BY-NC-4.0 as stated in the peer-reviewed paper
- License scope
- Model weights only; repository code and source dataset have separate rights.
- Stated conditions
- Non-commercial license only. Exclude from commercial-capable services or models unless explicit additional rights are obtained.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
Method reference for studying reported use of learned human names by companion parrots; not an acoustic dataset or animal-language benchmark.
Review, rights and research limits
- Version or release
- PLOS ONE 21(4): e0346830 (2026); correction 21(5): e0349699
- What we reviewed
- Article abstract, methods, results and discussion plus the official correction reviewed. Supporting information, figures and raw survey files were not inspected; no reanalysis performed.
- Access described in the record
- Open-access PLOS ONE article; data availability points to manuscript and supporting information. Methods say respondents were asked for respondent and parrot names; the article describes S2 as de-identified supporting information.
- Current research decision
- Metadata-only. Use the paper as a methods and interface-design reference. The S2 file itself was not inspected; review its fields, privacy risk, file-level terms and intended-use rights before acquisition or reuse.
- Limitations
- Human reports of learned human-language phrases, not natural-call audio. Context is respondent-reported and observer-coded; author discussion notes selection bias, subjective scoring and that the reports do not unequivocally establish understanding. The abstract reports 802 example phrases with names; Results reports 801. The correction only adds ORCID identifiers.
- Attribution
- Benedict, Groiss, Hoeschele, Reinisch and Dahlin (2026), DOI 10.1371/journal.pone.0346830; correction DOI 10.1371/journal.pone.0349699.
- Declared license
- CC-BY-4.0 for article text as stated by PLOS; supporting data/files not separately reviewed
- License scope
- Article text and correction only. Participant data and supporting files are separate components; do not infer their privacy status or reuse rights from the article license.
- Stated conditions
- Publish an original attributed summary and link. Do not copy article text, figures or participant-level material. Review the exact supporting files and applicable consent/privacy terms before any reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Interface-design reference for separating caregiver-reported context from recorded sound, researcher coding and model predictions.
Review, rights and research limits
- Version or release
- PLOS ONE supporting information S2; DOI 10.1371/journal.pone.0346830.s002; associated article published 2026-04-17
- What we reviewed
- PLOS describes S2 as an XLSX of coded parrot name phrases with de-identified supporting information. The NLM Dataset Catalog record links to PLOS Figshare item 32046233 and reports CC BY 4.0. The direct Figshare page/API could not be retrieved in this review; no workbook bytes or fields were inspected.
- Access described in the record
- PLOS S2 DOI and linked Figshare record; NLM catalog metadata reviewed. No file was downloaded, retained or opened.
- Current research decision
- Metadata-only. The paper is a useful example of coding human-reported context, not an audio dataset or validated benchmark. Do not acquire, redistribute or use for model training until the exact workbook, identifiers, consent scope and privacy conditions have been reviewed for a defined research need.
- Limitations
- The article says respondents were asked for respondent and parrot names and describes S2 as de-identified, but the spreadsheet itself and its de-identification were not checked. Its context originates in survey-taker accounts and observer coding, not direct acoustic inference or controlled receiver-response tests. The cataloged CC BY 4.0 declaration does not establish privacy clearance or consent for secondary uses.
- Attribution
- Benedict L, Groiss V, Hoeschele M, Reinisch E, Dahlin CR (2026). Name use by companion parrots. PLOS ONE 21(4): e0346830. Supporting Information S2, DOI 10.1371/journal.pone.0346830.s002.
- Declared license
- CC BY 4.0 as reported by the NLM Dataset Catalog for the linked PLOS Figshare S2 item; direct provider metadata was not retrievable in this review.
- License scope
- The S2 XLSX only. Article text, figures and participant-derived data have separate scope. The spreadsheet contents, de-identification, consent scope and privacy risk were not inspected or independently assessed.
- Stated conditions
- The cataloged license is not privacy or consent clearance. Keep metadata-only; do not download, redistribute or use for training until the exact file, consent scope, privacy risk and intended use have been reviewed for a defined question.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
Methods reference for wild-parrot call categorization and sequence structure; not a translated-message or phone-recording benchmark.
Review, rights and research limits
- Version or release
- Journal of Avian Biology 2026:e03552; DOI 10.1002/jav.03552
- What we reviewed
- Publisher article sections reviewed: abstract, methods, results, discussion, data statement and supplement inventory. No independent reproduction; no supplements acquired.
- Access described in the record
- Publisher marks the article Open Access; the specific article license was not established in this review.
- Current research decision
- Metadata-only. Publish an original summary and link. Do not reproduce article text, figures, supplementary files or audio until each component’s terms are reviewed.
- Limitations
- Sample units vary by analysis; the 52-duet syntax analysis covers 12 pairs. Human call labels, reported repeatability and acoustic classification limits are described in the evidence note. Sequence organization does not establish semantics.
- Attribution
- Dahlin, C.R., Killinger, B., Snipe, M., Small, O., Guenther, B. and Richwine, L. (2026), Journal of Avian Biology 2026:e03552.
- Declared license
- Open Access label; specific article license unresolved
- License scope
- Article text and figures only; supporting information and dataset are separate artifacts.
- Stated conditions
- Original short summary and citation link only; no copying or redistribution until exact license terms are confirmed.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-12
Metadata only
Reference for call-event, speaker/pair, sequence-position and acoustic-measurement fields in a wild-parrot duet study.
Review, rights and research limits
- Version or release
- Dryad v1, published 2026-01-27; DOI 10.5061/dryad.rn8pk0prb
- What we reviewed
- Reviewed the Dryad landing page, file list and README description, plus repository-wide Dryad reuse guidance. README and workbook bytes and rows were not inspected.
- Access described in the record
- Dryad lists README.md (2.46 KB) and Supplement_Data_DRYAD.xlsx (65.46 KB); the latter is described as Raven measurements, not raw audio.
- Current research decision
- Keep metadata-only. Before any acquisition, review exact rows and pair identifiers, sensitive-species implications, and fit with a defined research question. No training admission.
- Limitations
- The workbook includes duet names and pair initials; labels depend on the original field study and human call lexicon. It does not include the source recordings required to reproduce acoustic measurements. The article’s separate WAV/DOCX supplements have not been reviewed.
- Attribution
- Dahlin, C.R. et al. (2026), Data from: Decoding parrot duets: Complex communication in yellow-naped amazons [Dataset]. Dryad. DOI 10.5061/dryad.rn8pk0prb.
- Declared license
- CC0 per Dryad’s current repository-wide reuse guide; no separate file notice inspected
- License scope
- This Dryad dataset only. Paper text and publisher supplements have separate rights.
- Stated conditions
- Cite as scholarly courtesy. Keep metadata-only until the workbook fields and pair identifiers receive a sensitive-species and research-use review.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
Methods reference for controlled extracellular recording of fungal electrical activity; not a biological-language or Talk2Nature model result.
Review, rights and research limits
- Version or release
- iScience 28:113484 (2025)
- What we reviewed
- Reviewed full PMC article text, including Methods, Results/Table 1, figures, Discussion, data statement and article license. Supplementary Document S1 and data files were not inspected; no result reproduced. Table 1 reports electrode-pair counts, but the reviewed main text does not establish independent culture-level replication.
- Access described in the record
- Open-access article; publisher copy states CC BY 4.0.
- Current research decision
- Metadata-only. Publish an original summary and link. Do not copy article text, figures or supplements into this project.
- Limitations
- One Fusarium oxysporum strain and a specialized laboratory sensor. The reported pre-induction difference compares 24 fungal with 8 non-inoculated electrode-pair records; independence at the biological-replicate level is not established in the reviewed main text. All four n=3 treatment contrasts were nonsignificant; calcimycin's pattern matched its DMSO carrier. Extracellular voltage patterns do not establish a message or semantic code.
- Attribution
- Buffi, M. et al. (2025), iScience 28, 113484. DOI 10.1016/j.isci.2025.113484.
- Declared license
- CC-BY-4.0 for the article as stated in the published paper
- License scope
- Article only; dataset and supplementary code are cataloged separately.
- Stated conditions
- Credit the authors and source and indicate changes. The website uses original summaries and links; no article text or figures are copied.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-14
Metadata only
Possible methods-reproduction input for extracellular fungal electrophysiology, not an animal behavior or communication benchmark.
Review, rights and research limits
- Version or release
- Mendeley Data v1, published 2025-10-10
- What we reviewed
- Reviewed the official Mendeley version 1 description, displayed CC BY 4.0 declaration and visible Files section. The section contained no file entries; no files were downloaded or inspected.
- Access described in the record
- The record describes raw voltage-potential data from F. oxysporum before and after external stimuli; the visible Files section contained no filenames, sizes or sample metadata.
- Current research decision
- Keep metadata-only. Before acquisition, verify exact files, provenance, treatment/replicate metadata and preprocessing, then assess fit with a mycology/electrophysiology reviewer. No training admission.
- Limitations
- The paper tests one fungal strain with laboratory electrodes and reports mixed treatment effects. Even suitable data would measure sensor activity, not decode fungal meaning or animal communication.
- Attribution
- Buffi, M. et al. (2025), Detection of electrical signals in fungal mycelia in response to external stimuli [Dataset]. Mendeley Data, v1. DOI 10.17632/srkxbkh6sp.1.
- Declared license
- CC-BY-4.0 as displayed on the Mendeley Data v1 record
- License scope
- This dataset record only; article and supplementary code are separate components.
- Stated conditions
- Credit authors and dataset DOI. Keep files unacquired until the manifest and study metadata are reviewed; license alone does not establish scientific suitability.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-14
Metadata only
Potential implementation reference for reproducing the paper's STFT and power-spectral-density analysis.
Review, rights and research limits
- Version or release
- Method S1 and Document S2 are referenced by the 2025 article; exact file/version not inspected
- What we reviewed
- Full article reviewed. Its data statement points to Method S1 for code and its software/algorithm table points to Document S2; supplementary files and code were not inspected or executed.
- Access described in the record
- The article gives two supplementary code references (Method S1 and Document S2); exact contents/location and component-level license remain unresolved.
- Current research decision
- Metadata-only. Review the exact code, dependencies, license and outputs before any acquisition or execution. Do not treat the article's CC BY statement as verified software licensing.
- Limitations
- The existence of supplementary code does not establish reproducibility, safe execution or applicability to Talk2Nature data.
- Attribution
- Buffi, M. et al. (2025), iScience 28, 113484. DOI 10.1016/j.isci.2025.113484.
- Declared license
- Unresolved for the supplementary code component
- License scope
- Method S1/code only; paper and Mendeley dataset have distinct records and terms.
- Stated conditions
- Do not acquire, execute or redistribute until the exact file and its license are confirmed.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Metadata only
Determine whether video-derived FileID annotations can be joined to recording time, channel, treatment and session for a leakage-safe grouping audit.
Review, rights and research limits
- Version or release
- Figshare item 4555897 v1; collection DOI 10.6084/m9.figshare.c.3666502
- What we reviewed
- The 2017 Scientific Data descriptor was reviewed for Data Records and Usage Notes. On 2026-10-23 the direct public Figshare item API was re-read and returned a CC0 item declaration, one 31,574,701-byte FileInfo.csv and md5=null. No file contents or rows were retrieved.
- Access described in the record
- Public item API lists FileInfo.csv, file ID 8900695. The article says it carries exact recording time, recording channel and voiced-segment sample positions for each file.
- Current research decision
- Keep metadata-only. The 31.6 MB file exceeds the collector’s 5 MiB per-file limit and has no upstream MD5. Do not fetch until an independently reviewed, bounded integrity plan establishes that this join is needed.
- Limitations
- The file, schema, row coverage, identifiers, timing and joins were not inspected. The 2017 article says the table includes exact recording time, channel and voiced-segment positions, making a FileID/time/channel join plausible but unverified. The item exceeds the collector's 5 MiB per-file cap and has no upstream MD5; no animal/session split or benchmark is established.
- Attribution
- Prat et al. (2017), Egyptian fruit bat vocalization data descriptor; Figshare item 4555897 and collection DOI 10.6084/m9.figshare.c.3666502.
- Declared license
- CC0-1.0
- License scope
- The public Figshare item API declares CC0 1.0 for this item; this records the repository's declaration, not independent legal advice. Only item 4555897 and its listed FileInfo.csv. The item API lists a 31,574,701-byte file and no MD5; the file body was not inspected.
- Stated conditions
- Retain item/file provenance. Do not treat the paper’s license as a substitute for this item declaration. Keep metadata-only until a bounded use and integrity path are reviewed.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-12
Limited sample route
Review subject/treatment descriptions and annotation definitions before assessing FileID-to-session and animal-group splits.
Review, rights and research limits
- Version or release
- Figshare item 4555900 v1; collection DOI 10.6084/m9.figshare.c.3666502
- What we reviewed
- The 2017 data descriptor and direct Figshare item API were reviewed. The API declared CC0 1.0, listed one 367,257-byte Metadata.pdf (file ID 8900800) and returned md5=null. The file was acquired with the bounded collector, inspected locally and not republished. Visual review of all five pages found 20 treatment periods with date ranges, group compositions and recording channels, subject/maternal fields, and the annotation schema. FileInfo.csv remains a separate unacquired item.
- Access described in the record
- Public Figshare item API; one PDF. The API supplies no MD5. The collector verifies HTTPS, exact file ID/redirect and size, then records a local SHA-256 marked as not source-verified.
- Current research decision
- Retain one local copy in ignored external storage for methods review only. Do not publish the PDF, extract any animal recordings, or admit its contents to training.
- Limitations
- The item’s CC0 declaration is not independent legal advice. A computed SHA-256 identifies the received bytes but cannot substitute for an absent upstream checksum. PDF tables and definitions do not by themselves prove that audio, annotations and sessions join correctly.
- Attribution
- Prat et al. (2017), Egyptian fruit bat vocalization data descriptor; Figshare item 4555900 and collection DOI 10.6084/m9.figshare.c.3666502.
- Declared license
- CC0-1.0
- License scope
- The public Figshare item API declares CC0 1.0 for this item; this records the repository's declaration, not independent legal advice. Only item 4555900 and its listed Metadata.pdf. The item API lists one 367,257-byte file and md5=null; audio/video files and the article have separate records and rights.
- Stated conditions
- Use the local copy only for methods review; retain attribution and the acquisition receipt. Do not republish the PDF or infer training permission from its item license.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- A bounded sample path is approved by the collection rules; this is not scientific or training admission.
Paper · Catalog reviewed 2026-10-12
Metadata only
Understand what a targeted contact-call playback can establish about receiver response and what it cannot establish about meaning.
Review, rights and research limits
- Version or release
- PLOS ONE 7(11): e49747 (2012)
- What we reviewed
- Reviewed the full primary PLOS article text for the abstract, introduction, Materials and Methods, Results, Discussion, Ethics Statement and article license. No raw recordings, associated dataset, supplementary material or analysis code were acquired or inspected; no reanalysis was performed.
- Access described in the record
- Open full-text PLOS article; associated recordings, dataset, supplementary materials and code were not checked or acquired.
- Current research decision
- Use as a controlled signal-function comparator. Do not treat as evidence of translation, a companion-parrot result or support for consumer-app playback.
- Limitations
- This was a controlled playback study of 36 wild-caught orange-fronted conures from 27 flocks, paired in short-term outdoor aviaries during 2007. Of 72 trial periods, 44 were retained for analysis after caller-assignment and outside-interaction exclusions. The authors report higher call rates and shorter response latency for the targeted bird overall, with a sex-specific call-rate pattern; non-target birds also responded. This supports a bounded, context-specific receiver response to acoustically targeted imitation, not decoding of sentence meaning, general conversation, or a result transferable to pet parrots, other species or phone speakers. The experiment used captured birds, repeated playback and video observation under research permits. No Talk2Nature replication or independent specialist review exists.
- Attribution
- Balsby, Momberg and Dabelsteen (2012), PLOS ONE 7(11): e49747, DOI 10.1371/journal.pone.0049747.
- Declared license
- Creative Commons Attribution License (version not stated on the reviewed PLOS article page)
- License scope
- Published article text only. The current article page does not identify a license version. Raw recordings, trial-level data, figures, supplements and code have not been separately assessed.
- Stated conditions
- Attribute the authors and source and indicate adaptations. Verify the applicable license version before reusing article material; Talk2Nature publishes an original summary and link and reproduces no figures.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
Reproducibility and evaluation-split comparator for context prediction from bat ultrasound calls.
Review, rights and research limits
- Version or release
- EUSIPCO 2024, pp. 1277–1281; arXiv author manuscript v1: 2406.06332
- What we reviewed
- Reviewed the complete official five-page EUSIPCO proceedings paper and arXiv v1 record/manuscript, including dataset filtering, subject-independent test-fold description, random train/validation split, models, metrics, results, errors and license record. No code, split files, data media, model weights or supplementary artifacts were acquired or run.
- Access described in the record
- Official EUSIPCO proceedings PDF and versioned arXiv v1 manuscript; article PDFs were reviewed in the browser only.
- Current research decision
- Use as a methods and reported-baseline reference. Do not treat its result as a Talk2Nature reproduction, animal communication translation, or evidence of receiver comprehension.
- Limitations
- The paper reports three subject-independent development/test folds, but the exact partition files, identity/group definitions, session overlap and channel/treatment balance have not been independently verified. Its 70/30 train/validation split within each development set is stratified random and does not account for identity. The reported sample-bootstrap confidence intervals are not group-clustered. Grooming recall is zero, context labels are video-derived, and no public code or split artifact was located in the targeted review despite the paper's statement that code would be released upon acceptance.
- Attribution
- Triantafyllopoulos, A., Gebhard, A., Milling, M., Rampp, S. & Schuller, B. (2024), EUSIPCO 2024, DOI 10.23919/EUSIPCO63174.2024.10715475; arXiv:2406.06332v1.
- Declared license
- CC BY-NC-ND 4.0 declared for arXiv v1; proceedings-version terms not separately reviewed
- License scope
- The arXiv v1 manuscript only. Dataset, code, trained weights and official proceedings PDF have separate or unresolved rights.
- Stated conditions
- Publish an original summary and citation only. Do not redistribute either paper file, figures, code or weights from this record.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-12
Metadata only
Identify group leakage, background/site confounds and evaluation controls relevant to animal-audio models.
Review, rights and research limits
- Version or release
- Mutable dev branch reviewed 2026-10-12; immutable commit not verified
- What we reviewed
- Reviewed the public repository README, the bat and correction sections of its FINDINGS.md, and its data README. No repository snapshot or code was downloaded or run; result files, complete draft paper, exact license file, and underlying data or weights were not inspected.
- Access described in the record
- Public GitHub repository on the mutable dev branch; no commit-pinned snapshot was created.
- Current research decision
- Use as an emerging methods lead for leakage audits, not as peer-reviewed evidence, a reproduced baseline, a bat behavior benchmark, or evidence of call meaning.
- Limitations
- The repository says its workshop paper/write-up is still in progress. Its findings are author-reported and have not been independently reproduced by Talk2Nature. The bat entry describes a BEANS sample with emitter IDs but no usable behavioral labels, so it informs identity analysis only. The findings document records substantial corrections to earlier transfer and inferential claims. Inspect an immutable code/results version and obtain independent methods review before relying on reported metrics. Data and pretrained weights have separate terms that were not assessed.
- Attribution
- slug-labz, Audio Jungle Book Project, public GitHub repository (dev branch), checked 2026-10-12.
- Declared license
- The README states that code is MIT; the linked LICENSE file was not verified in this review.
- License scope
- Repository code only, as stated in its README. Datasets and pretrained weights are separate assets whose licenses were not reviewed.
- Stated conditions
- Before reuse, pin a commit and verify its exact LICENSE file. Assess each dataset and model-weight license independently; the code statement does not clear data use.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-12
Metadata only
Find reusable data-access and preprocessing groundwork for the public Egyptian fruit-bat archive, then determine whether it supports any part of the reported context-prediction workflow.
Review, rights and research limits
- Version or release
- Commit 6382c52bf553569528e0a790efe16e5ae42f0094 (2021-06-28; immutable reviewed snapshot)
- What we reviewed
- Reviewed the pinned root inventory, bat-folder README and displayed content of notebooks 01 (download instructions), 02 (PyTorch loader), 99a (preprocessing) and 99b (mini dataset). The review covered stated dataset/code licenses, FileInfo mapping, prediction target and split construction. No notebook, raw dataset, archive or model output was downloaded; no code was executed.
- Access described in the record
- Public GitHub repository at an immutable 2021 commit. The README links to large Internet Archive copies; notebook 99a also lists a Figshare FileInfo.csv download. No archive or file was acquired.
- Current research decision
- Useful historical data-access and preprocessing documentation, but not the EUSIPCO 2024 context model or its three subject-independent folds. The pinned commit predates that paper. Notebook 02 predicts emitter identity and uses a shuffled row-level stratified fold; notebook 99a creates no train/validation split; notebook 99b builds a smaller emitter-identity subset. Do not claim a context baseline reproduction or communication result.
- Limitations
- The repository overview mentions a pretrained ResNet context-prediction example, but no exact model source/checkpoint or link to the later EUSIPCO study was verified. Notebook 99a reports that FileInfo.csv maps annotation FileIDs to filenames and shows a historical 30.1 MB download via Figshare file ID 8900695; equivalence to Talk2Nature’s separately cataloged 31.6 MB FileInfo item has not been checked. The notebook declares dataset CC BY 4.0, while its code license is “to be linked”; the visible root inventory has no LICENSE file. The dataset declaration, direct item-level Figshare terms and derived archive-copy provenance remain separate and unresolved.
- Attribution
- Earth Species Project, earthspecies/library, Egyptian-fruit-bat pipeline, commit 6382c52bf553569528e0a790efe16e5ae42f0094, checked 2026-10-12.
- Declared license
- Repository code license unresolved: the visible root inventory has no LICENSE file, and notebook 99a says the code license is “to be linked”.
- License scope
- Notebook 99a declares dataset CC BY 4.0, but that statement does not independently clear the original Figshare items, derived Internet Archive copies, or any model weights. Rights and provenance must be checked per artifact.
- Stated conditions
- Keep metadata-only. Pin and assess the exact code, archive copy, original data item and checkpoint separately before reuse. Resolve the declared-term discrepancy; do not exceed the 5 MiB collector cap or infer EUSIPCO split provenance from these notebooks.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
Understand source separation of overlapping animal vocalizations as an upstream processing step, and keep reconstruction evidence distinct from context or communication claims.
Review, rights and research limits
- Version or release
- Scientific Reports 11, 23502 (2021); DOI 10.1038/s41598-021-02790-2
- What we reviewed
- Reviewed the article abstract, Methods, Data availability, Code availability, Results, Discussion and rights statement. No source data, mixture media, code, supplementary files or weights were acquired or run.
- Access described in the record
- Publisher's open-access article page; no article file or supplementary media copied into Talk2Nature.
- Current research decision
- Use as a cross-species method reference for separating generated overlapping call mixtures, not as an animal-language decoder or a demonstrated natural-field recording solution.
- Limitations
- The reported mixtures are constructed from known individual recordings; Talk2Nature has not verified performance on natural uncontrolled mixtures. Reported SI-SDR and downstream identity are reconstruction proxies, not communication metrics. The article identifies public macaque and bat data and restricted dolphin data; item-level data terms and provenance remain separate.
- Attribution
- Bermant, P.C. (2021), BioCPPNet: automatic bioacoustic source separation with deep neural networks, Scientific Reports 11, 23502, DOI 10.1038/s41598-021-02790-2.
- Declared license
- Creative Commons Attribution 4.0 International for the article, as stated in the publisher's rights section.
- License scope
- Article text; third-party material may be excluded in its credit line. This does not license the code, source datasets, derived mixtures or model weights.
- Stated conditions
- Talk2Nature publishes an original summary and citation. Attribute any article reuse and check credit lines; assess each dataset, code repository and model artifact separately.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-12
Metadata only
Trace the paper's stated code release for source separation, mixture generation and downstream evaluation.
Review, rights and research limits
- Version or release
- Reviewed commit 7092851cbd9a32116e6453583823d5334ab11f1b (2022-02-01)
- What we reviewed
- Reviewed the repository README and visible root inventory at the pinned commit. No files were cloned, downloaded, installed, executed or redistributed.
- Access described in the record
- Public GitHub repository at a pinned commit. The README describes dataset setup, generated mixture preparation, classifier/separator training and evaluation.
- Current research decision
- Keep as a metadata-only implementation lead. Do not reuse the code until a repository license is identified and the target dataset/model path is separately cleared.
- Limitations
- No LICENSE file is visible in the reviewed root inventory. The README requires external animal datasets, and associated data and trained weights have separate rights. Talk2Nature has not audited code quality, dependency safety, reproducibility or natural-field performance.
- Attribution
- Earth Species Project, cocktail-party-problem, BioCPPNet repository, reviewed commit 7092851cbd9a32116e6453583823d5334ab11f1b, checked 2026-10-12.
- Declared license
- No license identified in the visible repository root at the reviewed commit; code reuse and redistribution are unresolved.
- License scope
- Repository code only. Article text, datasets, mixtures, pretrained weights and any downstream models have separate terms.
- Stated conditions
- Metadata-only. Do not clone, install, execute, modify or redistribute code until exact terms and the intended use are verified; review dataset and weights independently.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
Use a proposed conceptual framework to keep claims about animal names distinct from identity, context association and receiver response.
Review, rights and research limits
- Version or release
- Trends in Cognitive Sciences, online ahead of print 22 July 2026; DOI 10.1016/j.tics.2026.06.008
- What we reviewed
- Abstract/highlights-only review. The official PubMed record and ScienceDirect listing were reviewed for metadata, abstract, publisher highlights and Open Access/Creative Commons status; the direct publisher page returned HTTP 403. Full text, references, supplementary files and underlying studies were not reviewed in this pass.
- Access described in the record
- ScienceDirect identifies the article as Open Access under a Creative Commons license. The exact license version and conditions were not visible in the accessible listing; the direct publisher page returned HTTP 403. No article file or other material was copied.
- Current research decision
- Keep as a metadata-only conceptual reference, not primary experimental evidence or a translation method. The abstract proposes individual reference, symbolic representation and shared meaning as minimum criteria, and identifies four taxa discussed by the review.
- Limitations
- The abstract does not expose how each criterion is operationalized or how the reviewed evidence is weighed. These are the authors' proposed criteria, not established consensus. No full-text review or Talk2Nature reanalysis was performed.
- Attribution
- Jaakkola, King and Bruck (2026), Trends in Cognitive Sciences, DOI 10.1016/j.tics.2026.06.008.
- Declared license
- ScienceDirect identifies the article as Open Access under a Creative Commons license, but the exact version and conditions were not visible in the accessible listing. PubMed also displays copyright © 2026 the authors, published by Elsevier, all rights reserved.
- License scope
- Bibliographic metadata and a short original summary only. The article text, figures, data and supplementary materials were not copied or separately reviewed.
- Stated conditions
- Metadata-only. Confirm the exact Creative Commons terms before reusing article content; cite and link to the original record.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Limited sample route
Potential reference for a bounded reproduction of receiver response to plant-like acoustic cues; not an audio corpus or animal-language training set.
Review, rights and research limits
- Version or release
- 10.17632/yg7ms8rn37.1
- What we reviewed
- Rechecked the official Mendeley Data v1 landing page on October 24: it remains version 1, published 2025-11-14, and declares CC0 1.0. The one approved 51,160-byte data.xlsx file was acquired to ignored local storage and its SHA-256 matches the exact value displayed in the Mendeley file panel. A standard-library, aggregate-only audit parsed static workbook values and matched all five main Table 1 repetition, paired-observation and egg-cluster totals. No formulas or deposited code were executed. The other 31 listed files and separate eLife source ZIP remain unacquired; no inferential model or independent review was completed. The workbook has two additional condition labels outside the five-condition Table 1 comparison; the Bat oviposition label remains unmapped to a reported result.
- Access described in the record
- The exact data.xlsx file UUID and public download URL are pinned in observed_inventory. A TLS-verified HEAD to the Mendeley URL returned 302 to the pinned public S3 object; a HEAD to that exact object returned HTTP 200, 51,160 bytes and XLSX MIME type. The local collector fetched only that file, verified its SHA-256 against the Mendeley file-panel value, and wrote a receipt under ignored local storage. The official API reference marks file-list/download APIs OAuth2-protected; no API client or token was used. This acquisition covers one spreadsheet only; the other 31 files and publisher ZIP remain separate and unacquired.
- Current research decision
- Retain only the version-pinned data.xlsx and receipt in ignored external storage for bounded local structure and aggregate-table review. The aggregate audit may be shared with its method and limitations, but do not publish raw rows, acquire the full archive, execute unreviewed code, use this behavioral table for model training or private storage, or treat it as evidence for general plant communication. Resolve the extra Bat workbook condition against the source before interpreting it.
- Limitations
- The deposit concerns one controlled study of Egyptian cotton leafworm moths and tomato-plant playback. The selected spreadsheet is behavioral/source data, not an audio corpus, and does not reproduce the paper's hierarchical models or adjusted contrasts. All five main Table 1 aggregate tuples match, but that is a source-table consistency check rather than independent reproduction. The workbook also contains a Bat oviposition condition not mapped to a reported oviposition result in the reviewed article; exclude it pending clarification. A bounded reanalysis would not establish plant intention, general communication, animal translation or model readiness. No Talk2Nature specialist review is established by acquisition.
- Attribution
- Zer G. (2025). Female Moths Incorporate Plant Acoustic Emissions into Their Oviposition Decision-Making Process. Mendeley Data v1. DOI 10.17632/yg7ms8rn37.1.
- Declared license
- CC0-1.0
- License scope
- The deposited Mendeley Data item only. The repository page and file-information panels for data.xlsx, run_stats_whole.m and 220310_01_xypts.csv display CC0 1.0. The CC0 notice applies only to rights the affirmer can grant and does not establish third-party or privacy rights. The eLife article is a separate CC BY 4.0 work; the publisher source-data ZIP and any audio/model weights have separate unresolved rights.
- Stated conditions
- The Mendeley Data v1 landing page declares CC0 1.0, and the data.xlsx file panel separately displayed CC0 1.0. Verify the downloaded bytes against the file-panel SHA-256 and retain attribution and the exact version. This declaration applies only to the Mendeley deposit and does not change the separate eLife article/source-data terms or establish scientific suitability.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- A bounded sample path is approved by the collection rules; this is not scientific or training admission.
Dataset · Catalog reviewed 2026-10-12
Metadata only
Potential source for checking the published behavioral tables and analysis provenance; distinct from a sound corpus or animal-language training set.
Review, rights and research limits
- Version or release
- eLife Source data 1 v1; ZIP; listed as 1.2 MB in the PMC package record
- What we reviewed
- Verified the publisher supplement link and PMC package description, which identifies raw data tables and analysis code. The source ZIP, raw Figure 1 scatter supplement, checksums, internal file names, and overlap with Mendeley Data v1 were not inspected.
- Access described in the record
- A direct publisher ZIP link is listed in the article package record as 1.2 MB. The Mendeley data-availability record separately describes codes and statistics. Whether these artifacts duplicate or complement one another is unknown.
- Current research decision
- Keep metadata-only. Before acquisition, verify artifact-specific terms, exact archive inventory, integrity information, data dictionary, code dependencies and correspondence with the article. Never execute the archive contents as part of intake.
- Limitations
- The archive is linked to one controlled study of Egyptian cotton leafworm moths and tomato-plant playback. Even a reproducible reanalysis would test a bounded behavioral result, not general plant communication or animal translation.
- Attribution
- Seltzer R, Zer Eshel G, et al. (2026). Female moths incorporate plant acoustic emissions into their oviposition decision-making process. eLife 13:RP104700. Source data 1.
- Declared license
- Unconfirmed for the separate source-data ZIP; the article states CC BY 4.0 but the archive has not been independently checked for file-level notices.
- License scope
- The publisher source-data ZIP and any embedded code/data only. This does not change the separate Mendeley Data v1 CC0 record or the article-text license.
- Stated conditions
- Do not acquire, execute, redistribute, or use for commercial or model-training purposes until the ZIP contents, attribution, third-party material and artifact-specific terms have been reviewed.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
Methods context for clustered photographs, bottle-level experimental units and small-sample claims; not an animal-communication resource.
Review, rights and research limits
- Version or release
- The Journal of Parapsychology 81(1), 73–86 (2017)
- What we reviewed
- Full 14-page publisher-hosted technical note reviewed, including its summary of prior ice-crystal methods and the authors’ own small test series. No figures or source data were copied; no independent analysis or specialist review was performed.
- Access described in the record
- Publisher-hosted issue PDF. The issue page labels its articles open access, but an article-level reuse license was not verified.
- Current research decision
- Metadata-only. Cite and link for methods discussion; do not acquire, reproduce, train on or commercially reuse article content unless exact reuse terms are confirmed.
- Limitations
- The note is published in a parapsychology journal and its authors entertain anomalous-effect claims. It identifies dependence among repeated photographs/judges and says its own two-bottle-per-condition tests are too small; it is not a broad systematic review or a decisive independent null replication. It supplies no evidence that water understands language or communicates.
- Attribution
- Kokubo H, Nemoto Y & Kawano K. (2017). Technical Note: Discussion on Methodology of Water Crystal Formation as a Detection System for Psi. The Journal of Parapsychology 81(1), 73–86.
- Declared license
- The journal issue page states all articles are open access; no explicit article-level reuse license was verified.
- License scope
- The article only. No permission is inferred for related articles, data, images or code.
- Stated conditions
- Metadata-only; cite and link. Confirm exact terms before copying, redistributing, training on or commercially using article content.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-12
Metadata only
Methods reference for event-level song/call type annotation, repertoire analysis and spatial vocal variation. Not a semantic-translation or independently observed behavior benchmark.
Review, rights and research limits
- Version or release
- Zenodo concept DOI 10.5281/zenodo.17264916 resolves to current version DOI 10.5281/zenodo.17264917 (record 17264917); Digital.CSIC handle 10261/424783 hosts a separately cataloged distribution.
- What we reviewed
- Reviewed the full 2026 publisher article, official Zenodo API concept-DOI redirect and version record, official Datos.gob.es catalog, complete CSIC README and archive HEAD metadata. The API resolves concept DOI 17264916 to version DOI 17264917 and declares record-level CC BY 4.0 plus an eight-file inventory with provider-supplied sizes and MD5 values. The CSIC README also identifies 17264917 and CC BY 4.0; its archive HEAD reports 3,711,242,291 bytes. No file bytes were acquired or locally verified.
- Access described in the record
- The official Zenodo API returns HTTP 302 from concept DOI 17264916 to version record 17264917 (HTTP 200); the record's conceptdoi field is 17264916. It declares record-level CC BY 4.0 and an eight-file inventory. The CSIC archive and README are separately listed under handle 10261/424783; the README and archive headers identify 17264917. Provider MD5 values are recorded below but unverified locally; the 3,711,242,291-byte CSIC archive body and its file membership remain uninspected.
- Current research decision
- Metadata-only. The article's DOI citation is explained as the Zenodo concept DOI, and the current version record is 17264917. Before downloading the 3.71 GB CSIC archive or using any files for ML, obtain qualified avian-bioacoustics review of a bounded question, decide which distribution is needed, and establish a storage and integrity plan. Provider file checksums are available but not locally verified. Review the R script and dependencies before any execution. Labels remain acoustic vocal types, not context or meaning.
- Limitations
- The study covers 20 populations in Spain, with 4,297 songs from 191 males (401 song types) and 795 calls from 97 males (80 call types). Birds were not individually marked; measures reduced but do not prove that repeat recordings are independent, and song/call individuals could not be matched. One expert made primary annotations; uncertain or population-shared types received additional review. Labels are acoustic type categories, not independent behavior observations or word meanings. No published grouped ML split was reviewed. The authors advise against broad frequency-feature comparisons because of spatial dialect variation. Zenodo's MD5 values are provider metadata, not local verification. The CSIC archive was not checked against the Zenodo file set.
- Attribution
- Pérez-Granados C, Alonso-Moya CD, Barrero A, et al. (2026). A large-scale acoustic dataset of a passerine with spatially variable vocal behavior: fine-scale annotations of song and call types. Scientific Data 13, 770. Article DOI: https://doi.org/10.1038/s41597-026-07131-4. Dataset concept DOI 10.5281/zenodo.17264916 resolves to version DOI 10.5281/zenodo.17264917. Digital.CSIC handle: http://hdl.handle.net/10261/424783.
- Declared license
- CC BY 4.0 is declared by the Zenodo API record-level license field for the dataset deposit, and separately by Datos.gob.es for the specific CSIC archive and README distributions. The article is separately CC BY-NC-ND 4.0. No dataset or code bytes were acquired; the CSIC archive contents and provider checksums remain unverified locally.
- License scope
- The publisher article is CC BY-NC-ND 4.0. The Zenodo deposit and the specific Digital.CSIC archive/README distributions have separate record/catalog CC BY 4.0 declarations. The R script is listed in Zenodo, but code contents, dependencies and third-party notices were not reviewed.
- Stated conditions
- The concept DOI to version DOI relationship is confirmed by the official API. Before acquisition or model use, obtain qualified review of the specific research question, select the exact distribution, verify downloaded files against provider metadata, and preserve attribution. Do not execute the R script until its contents and dependencies are reviewed.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-12
Metadata only
Potentially inspect analysis-validation code for reproducibility after exact record identity and code license are verified. No code execution is planned at intake.
Review, rights and research limits
- Version or release
- Zenodo version record 17264917 lists Technical_validation.R (10,132 bytes; provider MD5 750627a8f2b70c2879d8ae203783dc54); concept DOI is 17264916.
- What we reviewed
- The official Zenodo API concept DOI response redirects 17264916 to version record 17264917. Its metadata lists Technical_validation.R at 10,132 bytes with an MD5 value and record-level license CC BY 4.0. The script bytes, code structure, dependencies, third-party notices and behavior were not inspected; no code was downloaded or run.
- Access described in the record
- Listed in the official Zenodo API version record 17264917, reached from concept DOI 17264916. Provider metadata reports 10,132 bytes and MD5 750627a8f2b70c2879d8ae203783dc54; this checksum has not been locally verified.
- Current research decision
- Metadata-only. Do not acquire or execute until a qualified reviewer selects a bounded use, the code contents and dependencies are reviewed as untrusted input, and any third-party notices are checked. The Zenodo record-level CC BY 4.0 declaration is recorded, but it is not a substitute for code/security review.
- Limitations
- This script is described as reproducing the paper's technical-validation analysis. It is not a communication decoder, ML baseline or proof of animal meaning. No independent reproduction was performed; no code or dependency was inspected.
- Attribution
- Pérez-Granados C, Alonso-Moya CD, Barrero A, et al. (2026). Scientific Data 13, 770. Article DOI: https://doi.org/10.1038/s41597-026-07131-4. Zenodo concept DOI 10.5281/zenodo.17264916 resolves to version DOI 10.5281/zenodo.17264917.
- Declared license
- Zenodo's record-level license metadata declares CC BY 4.0 for the dataset deposit that lists this file. No separate software license file, code bytes, dependencies or third-party notices were reviewed.
- License scope
- Technical_validation.R only. Dataset archive, README and article are separate assets.
- Stated conditions
- No code acquired or executed. Review contents, dependencies, third-party notices and security before use; verify the file against the provider MD5 if a bounded authorized acquisition is later approved.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
A critical reading for claims about forest network prevalence, resource transfer and “mother tree” effects; not a communication dataset or model benchmark.
Review, rights and research limits
- Version or release
- Nature Ecology & Evolution 7, 501–511 (2023); author correction 7, 623 (2023).
- What we reviewed
- Reviewed official publisher metadata, abstract and surfaced passages, plus the publisher correction. Nature page authentication limited direct article rendering; supplementary files and cited field studies were not independently reviewed.
- Access described in the record
- Publisher DOI and correction links. No article file, dataset or supplementary material acquired.
- Current research decision
- Metadata-only. Use as a cited critique in the evidence debate; keep its correction attached to the source record.
- Limitations
- The article evaluates a literature and citation record; it is not a new receiver-response experiment. The correction removed four extraneous references and renumbered citations. Do not infer that the correction changed the substantive conclusions.
- Attribution
- Karst J, Jones MD, Hoeksema JD (2023). Positive citation bias and overinterpreted results lead to misinformation on common mycorrhizal networks in forests. Nature Ecology & Evolution 7, 501–511. DOI 10.1038/s41559-023-01986-1.
- Declared license
- Publisher article; redistribution license not verified.
- License scope
- Article only; the correction, underlying field studies and any data have separate records and terms.
- Stated conditions
- Link and cite the publisher record. Publish an original summary only; do not copy article text, figures or supplements.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
Review the physiological and isotope-method arguments about carbon transfer through ectomycorrhizal networks; not evidence of a tree communication code.
Review, rights and research limits
- Version or release
- New Phytologist 239, 19–28 (2023).
- What we reviewed
- Reviewed the publisher abstract and selected online article sections, including its alternative-pathway discussion and competing-interest statement. No isotope datasets or cited experiments were reanalyzed.
- Access described in the record
- Publisher DOI; no article file or data acquired.
- Current research decision
- Metadata-only. Link in an explicitly contested evidence map; seek a forest-mycorrhizal specialist before translating the critique into a local experiment.
- Limitations
- The authors focus on significant net carbon transfer through common ectomycorrhizal networks and its benefit to recipients, especially in boreal forests. The paper does not disprove all network connections or all plant–fungus signaling. One author disclosed a financial interest in an organic-fertilizer company.
- Attribution
- Henriksson N, Marshall J, Högberg MN, Högberg P, Polle A, Franklin O, Näsholm T (2023). Re-examining the evidence for the mother tree hypothesis – resource sharing among trees via ectomycorrhizal networks. New Phytologist 239, 19–28. DOI 10.1111/nph.18935.
- Declared license
- Publisher article; exact redistribution license not verified in this review.
- License scope
- Article only; underlying cited datasets have separate rights.
- Stated conditions
- Cite and link to the publisher. No article text, figure, dataset or supplement is copied or acquired.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
A design and methods comparator for animal-operated interfaces and caregiver-mediated live versus playback interactions; not an acoustic communication benchmark.
Review, rights and research limits
- Version or release
- CHI 2024 proceedings, Article 625, pages 1–14; DOI 10.1145/3613904.3641938.
- What we reviewed
- Published paper pages 3–12 reviewed for eligibility, ethics, protocol, analysis, results and limitations. Tables 2–4 were inspected visually; Table 2 percentages and Table 3 duration totals were checked against displayed cells. No raw-data reanalysis, replication or independent expert review.
- Access described in the record
- The University of Glasgow repository hosts the published 14-page PDF under CC BY-NC-ND 4.0 and records Data Availability Statement: No. No study dataset, code or media were acquired.
- Current research decision
- Metadata-only. Use as an interface-method comparator. Do not reuse participant-level differences or duration aggregates until the Table 2/3 reporting discrepancies are resolved and the analysis receives independent review.
- Limitations
- Nine home-kept parrots; live calls always preceded playback, so condition order was not counterbalanced. Reciprocal calls, caregiver mediation and variable home devices complicate interpretation. The Table 2 row labeled ‘Live minus playback’ appears to use the reverse direction, and P3/P5 values conflict with the displayed percentages. The text reports 561 live-phase and 142 playback minutes; direct sums of Table 3 cells are about 239 and 149 minutes. Without underlying data the duration discrepancy cannot be resolved. Engagement does not establish welfare benefit, comprehension or language.
- Attribution
- Hirskyj-Douglas I, Cunha J, Kleinberger R (2024). Call of the Wild Web: Parrot Engagement in Live vs. Pre-recorded Video Calls. CHI 2024, Article 625, 1–14. DOI 10.1145/3613904.3641938.
- Declared license
- CC BY-NC-ND 4.0 as listed by the University of Glasgow repository for the published article.
- License scope
- Published article only. No separate license for study data, code or media was established; the repository records Data Availability Statement: No.
- Stated conditions
- The article license is non-commercial and no-derivatives. This catalog includes an original summary and link only; do not redistribute the PDF or infer rights for other study artifacts.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-14
Metadata only
Tablet interaction ergonomics and welfare-aware design questions for parrot-operated enrichment; not communication decoding or an acoustic ML benchmark.
Review, rights and research limits
- Version or release
- CHI 2024; DOI 10.1145/3613904.3642119; published version hosted by the University of Glasgow.
- What we reviewed
- Full published article text, Sections 1–7, reviewed through the conclusion, including participant criteria, ethics, protocol, analysis, results, limitations and design guidelines. Figures were not visually reanalyzed; no data, code, supplements or independent analysis were inspected.
- Access described in the record
- The University of Glasgow record lists CC BY-NC-ND 4.0 and 'Data Availability Statement: No'. No study data, code or media were acquired; a separate software license was not verified.
- Current research decision
- Metadata-only. Use as a tablet ergonomics and methods comparator for a possible future animal-operated enrichment question. Keep the current Field Companion human-operated and passive; do not infer communication or an acoustic benchmark from touch behavior.
- Limitations
- Twenty adult pet parrots entered and 17 completed the trained task. The 10.1-inch tablet and perch setup does not establish phone or universal target-size requirements. Larger targets increased hit rate in this setup, while touch-point precision did not significantly vary by width. The paper does not establish preference, comprehension, call meaning, welfare benefit or communication.
- Attribution
- Kleinberger et al. (2024). No More Angry Birds: Investigating Touchscreen Ergonomics to Improve Tablet-Based Enrichment for Parrots. CHI 2024. DOI 10.1145/3613904.3642119.
- Declared license
- CC BY-NC-ND 4.0 as listed by the University of Glasgow repository for the published article.
- License scope
- Published article only. Study data and code are separate; the repository says no data availability statement and no separate code license was verified.
- Stated conditions
- This catalog contains an original summary and link only. Do not redistribute the PDF or infer rights for study data, code, figures or media.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
Read the counterarguments and methods perspective on forest network structure and context-dependent material transfer; this Opinion is not an independent replication.
Review, rights and research limits
- Version or release
- Frontiers in Forests and Global Change 7, 1512518; published 2025-01-21.
- What we reviewed
- Reviewed the full publisher-hosted Opinion page, including article type, methods context, selected response sections and licensing statement. No source data or cited studies were acquired.
- Access described in the record
- Open-access publisher page; no data or figures copied.
- Current research decision
- Metadata-only. Present as an attributed scholarly response alongside the critiques, not as a neutral adjudication or independent test.
- Limitations
- The authors argue that multiple methods support network connections and context-specific transfer, while acknowledging multiple simultaneous pathways. As an Opinion by researchers active in the subject, it is an argument rather than a new independent experimental replication.
- Attribution
- Simard SW, Ryan TSL, Perry DA (2025). Opinion: Response to questions about common mycorrhizal networks. Frontiers in Forests and Global Change 7:1512518. DOI 10.3389/ffgc.2024.1512518.
- Declared license
- CC BY 4.0 as stated by the publisher for this article.
- License scope
- The Frontiers article only; cited papers, study data and other figures retain their own rights.
- Stated conditions
- Attribution is required under CC BY 4.0. This repository links and summarizes; it does not reproduce article figures or text.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
Primary source for the NatureLM-audio architecture and BEANS-Zero benchmark claims.
Review, rights and research limits
- Version or release
- ICLR 2025 proceedings paper (21 pages)
- What we reviewed
- Targeted review of model/training methods, benchmark construction, evaluation tables, baseline caveat and risk discussion; no replication or artifact audit.
- Access described in the record
- Official proceedings PDF read online; no local copy or figure reused.
- Current research decision
- Use the paper to define what the published evaluation tests; do not treat reported scores as communication or as a Talk2Nature result.
- Limitations
- Talk2Nature has not reproduced the results or audited every benchmark component. The paper’s counts can refer to prompts derived from the same recordings.
- Attribution
- Robinson, D., Miron, M., Hagiwara, M. and Pietquin, O. (2025), ICLR proceedings.
- Declared license
- Not separately reviewed
- License scope
- Article only; linked citation and original summary, no reproduced text or figures.
- Stated conditions
- Check article-specific terms before any further reuse.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-12
Metadata only
Official software for running and training the NatureLM-audio model.
Review, rights and research limits
- Version or release
- Mutable main branch checked 2026-10-12; no commit pinned
- What we reviewed
- Repository README/root inventory and MIT LICENSE checked; code, dependencies and security were not audited or run.
- Access described in the record
- Public GitHub repository; no clone or files acquired.
- Current research decision
- MIT applies to code only; retain as a reference, not an integrated dependency.
- Limitations
- Model weights, base Llama terms, training/evaluation audio and third-party dependencies have separate rights and requirements.
- Attribution
- Earth Species Project, NatureLM-audio repository.
- Declared license
- MIT
- License scope
- Repository software only; not weights, datasets, papers or dependencies.
- Stated conditions
- Pin and audit the exact revision and dependencies before reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Model · Catalog reviewed 2026-10-12
Metadata only
Bioacoustic audio-language classification and captioning research comparator.
Review, rights and research limits
- Version or release
- Hugging Face revision 77855d9b0acd039f90798dcf0861f626bfefbd6f; model card lists CC BY-NC-SA 4.0
- What we reviewed
- Pinned model-card revision and current official task limitations were recorded; weights were not downloaded or evaluated.
- Access described in the record
- Hugging Face model record; use also requires access to the separately licensed Llama 3.1 8B Instruct base model.
- Current research decision
- Do not include in paid or commercial-capable services without additional rights; not selected for the first Talk2Nature implementation.
- Limitations
- Current v1.1 documentation may not describe every behavior of the pinned checkpoint. No inference or resource estimate was performed.
- Attribution
- Earth Species Project, NatureLM-audio model card and project documentation.
- Declared license
- CC-BY-NC-SA-4.0
- License scope
- NatureLM-audio model weights only; Llama base-model terms apply separately.
- Stated conditions
- Non-commercial terms; separately review parent-model access/terms and exact checkpoint before any research use.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-12
Metadata only
Audio-text training examples for the NatureLM-audio model.
Review, rights and research limits
- Version or release
- Dataset card/viewer checked 2026-10-12; 26.4M rows displayed
- What we reviewed
- Inspected only the public card/viewer schema, displayed row count, and sample row license/source fields; did not enumerate the corpus or audit components.
- Access described in the record
- Public Hugging Face dataset card; files were not downloaded.
- Current research decision
- Metadata-only. Do not treat the corpus as one cleared training set or reuse it before per-source rights and provenance review.
- Limitations
- The hub-level license is “other”; the viewer exposes three row-level license values. The paper says prompt counts may derive from the same audio, so 26.4M rows do not equal 26.4M distinct recordings.
- Attribution
- Earth Species Project, NatureLM-audio-training dataset card and Robinson et al. (2025).
- Declared license
- Hub record: other; individual rows have differing license values
- License scope
- Composite training dataset; rights and source provenance must be resolved at component/record level.
- Stated conditions
- No ingestion, training, redistribution or commercial use until specific source assets and terms are reviewed.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Zero-shot, audio-plus-text test-only tasks for species or sound classification, detection, life-stage/call-type classification and captioning; a broad method comparator, not a receiver-response or communication benchmark.
Review, rights and research limits
- Version or release
- Dataset-card commit e9e45ffff7500867c885ef74c245c07e66677084 (2025-04-21); live file inventory checked 2026-10-13
- What we reviewed
- Reviewed the pinned official dataset card, live file inventory and the ICLR paper citation. The card reports 91,965 examples, one test split, a per-sample license field and no intended commercial use. The live Hugging Face tree lists 50.5 GB; the companion official code README says about 100 GB for a full download. No dataset files, sample rows or license values were inspected.
- Access described in the record
- Public Hugging Face card and file inventory; page lists 50.5 GB. The official code README estimates about 100 GB for non-streaming download, so the published sizes conflict. No files acquired.
- Current research decision
- Use as a cross-taxon classification/detection/captioning benchmark reference only. Do not use it as the first Talk2Nature communication benchmark, download the composite, or admit it to training. Consider a single task/component only after verifying its exact license, labels, split unit and intended research use.
- Limitations
- The evaluation card describes only a test split and 91,965 examples; it does not provide training examples. It is a composite with sample-level license metadata, but those values and the source files were not audited. The card says the collection is not intended for commercial use. Its task labels do not test message meaning or receiver comprehension. The Hub listing says 50.5 GB while the companion repository README says about 100 GB; the discrepancy is unresolved.
- Attribution
- Earth Species Project, BEANS-Zero dataset; Robinson et al. (2025).
- Declared license
- Hub metadata: other. Dataset README: composite with a per-sample license field; not intended for commercial use.
- License scope
- The benchmark combines separately sourced component datasets; file-level terms and redistribution rights remain component-specific.
- Stated conditions
- Check the specific sample/component license, source terms, consent/privacy status and evaluation rules before any use. The public card explicitly says not for commercial use; no commercial use is admitted here.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Not admitted for this project.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-13
Metadata only
Fetch/list/evaluate BEANS-Zero tasks and calculate reported benchmark metrics.
Review, rights and research limits
- Version or release
- 31d4487ee6452ae6c31853d45fd38b7d4150372d (main, checked 2026-10-13)
- What we reviewed
- Reviewed the official README, root file inventory and pyproject.toml at the pinned commit. The project metadata says package version 1.0.0 and Python >=3.10 but has no license declaration; no root LICENSE was present. The README states about 100 GB for full download and Java 8 for caption evaluation. Code was not cloned, downloaded or run.
- Access described in the record
- Public GitHub source repository; no local copy or execution.
- Current research decision
- Do not copy, install or execute until an explicit code license is published or permission is otherwise established. Keep software, benchmark-data components and model rights separate.
- Limitations
- No explicit license was found at the pinned root or in pyproject metadata. The README full-download estimate (about 100 GB) conflicts with the live Hugging Face listing (50.5 GB). Dependencies, evaluator correctness, environment isolation and outputs were not tested.
- Attribution
- Earth Species Project, BEANS-Zero repository.
- Declared license
- Unresolved; pinned repository root has no LICENSE and pyproject.toml declares no license.
- License scope
- Benchmark evaluation code only; separate from benchmark data and model.
- Stated conditions
- Confirm an explicit license and review dependencies/security before copying or execution. Do not assume public repository visibility grants reuse rights.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
Test prompt robustness and instruction-following recovery in NatureLM-audio by interpolating its LoRA with the Llama base model.
Review, rights and research limits
- Version or release
- arXiv v2, revised 2025-11-19; NeurIPS 2025 AI for Non-Human Animal Communication workshop
- What we reviewed
- arXiv v2 sections 2–4 and limitations reviewed; no independent reproduction or peer-review assessment beyond workshop identification.
- Access described in the record
- arXiv abstract and PDF; no local copy or figure reused.
- Current research decision
- Use as a prompt-robustness and closed-set evaluation lead, not evidence of animal-language understanding or broadly proven generalization.
- Limitations
- The reported unseen-family result uses one 425-sample, 40-class closed-set split. Authors identify the evaluation as limited in scope.
- Attribution
- Marincione, D., Crisostomi, D., Dessi, R., Rodolà, E. and Rossi, E. (2025), NeurIPS workshop paper, arXiv:2511.05171v2.
- Declared license
- Not separately checked
- License scope
- Article only; Talk2Nature publishes an original summary and link.
- Stated conditions
- Verify the displayed article license before any redistribution or derivative use.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-12
Metadata only
Reproduce authors’ LoRA interpolation experiments and prompt/closed-set classification results.
Review, rights and research limits
- Version or release
- Mutable main branch checked 2026-10-12; no commit pinned
- What we reviewed
- README, root inventory and MIT LICENSE reviewed; code, results and environment were not independently audited or run.
- Access described in the record
- Public author-group GitHub repository; README lists Llama 3.1 access and a GPU with at least 24 GB VRAM.
- Current research decision
- Keep as a later research reference; do not integrate model weights or run without separate data/model rights and a frozen evaluation plan.
- Limitations
- Repo code license does not cover the base Llama model, NatureLM weights, benchmark data or dependencies; main branch is mutable.
- Attribution
- Gladia Research Group, official implementation repository for Marincione et al. (2025).
- Declared license
- MIT
- License scope
- Repository code only; base model, fine-tuned checkpoint and datasets have separate terms.
- Stated conditions
- Pin and audit exact code/dependencies; obtain access to the model/data and review their terms before use.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-12
Metadata only
Agent-assisted optimization of a fixed single-GPU language-model training setup; its validation bits-per-byte metric is not an animal-behavior measure.
Review, rights and research limits
- Version or release
- 228791fb499afffb54b46200aca536f79142f117
- What we reviewed
- Pinned official README and program.md, repository metadata and root inventory reviewed. The README declares MIT, but the pinned tree has no LICENSE file and GitHub API license metadata is null. No code, dependencies or training artifacts were acquired or executed.
- Access described in the record
- Public GitHub documentation and repository metadata at the pinned commit; no source files copied.
- Current research decision
- Adopt the experiment-control pattern only. Talk2Nature's original agent program remains NOT READY; do not import, install or run this trainer.
- Limitations
- The upstream task is GPT language-model training on one NVIDIA GPU, using a five-minute run and val_bpb. Its metric and training data do not address animal behavior, context, meaning or communication; it supplies no rights-cleared Talk2Nature data, independent labels, leakage-safe splits or biological validation. Code licensing is unresolved because the README claim lacks a LICENSE file and conflicts with GitHub API metadata.
- Attribution
- Andrej Karpathy and the AutoResearch contributors; no affiliation or endorsement is implied.
- Declared license
- The pinned README declares MIT; no LICENSE file exists in the pinned root and GitHub API metadata reports no recognized license. Treat as unresolved.
- License scope
- Upstream repository code only. No code was copied; data, checkpoints and dependencies retain separate terms.
- Stated conditions
- Do not copy or redistribute code until the license discrepancy is clarified. The Talk2Nature adaptation is an original written protocol.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
Compare adult contact-call variation across wild, captive and reintroduced populations and describe nestling vocal development; not a context or meaning task.
Review, rights and research limits
- Version or release
- Animal Behaviour 236 (June 2026), Article 123580
- What we reviewed
- Publisher abstract, limited section snippets and data-availability statement reviewed. Full methods, figures and supplementary material were not accessible; no independent analysis was performed.
- Access described in the record
- Publisher abstract and linked Dryad record; no article file or study data acquired.
- Current research decision
- Include as a parrot vocal-development comparator. Do not present it as a communication-decoding or receiver-comprehension study.
- Limitations
- Study covers three Costa Rican population categories. Adult birds were not individually marked; population counts are minimum estimates. The paper reports minimal adult population variation and mid-development nestling variation, with alternative developmental explanations. No independent Talk2Nature review or replication.
- Attribution
- Allison, A. G., Jimenez, M., & Wright, T. F. (2026). Animal Behaviour 236, 123580. https://doi.org/10.1016/j.anbehav.2026.123580.
- Declared license
- Not established in this review.
- License scope
- Publisher article text only; this project stores an original summary and citation, not article text or figures.
- Stated conditions
- Do not redistribute article content or figures without confirming the article license.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-12
Metadata only
Metadata and derived analyses for adult and nestling call selection/variation; no independently observed behavior labels or established semantic targets.
Review, rights and research limits
- Version or release
- Dryad record published 2026-04-23; DOI 10.5061/dryad.z8w9ghxrb
- What we reviewed
- Reviewed Dryad landing-page metadata, README description and file inventory plus current Dryad data policy. The page lists 497.76 MB of files. No files were downloaded, hashed or inspected internally.
- Access described in the record
- Public Dryad metadata and file listings. The article says sound files are available from the corresponding author on request; no request was made. Do not assume the contents of large RDS files without inspecting them.
- Current research decision
- Metadata-only methods and parrot research reference; not admitted to the first audio/context benchmark.
- Limitations
- The published summary describes vocal development and population-level acoustic variation, not behavior-context prediction or receiver comprehension. Adult individuals were unmarked. Exact RDS contents, audio embedding/reference structure, animal/site grouping, privacy sensitivity and file-specific reuse scope were not inspected.
- Attribution
- Allison, Alexander; Jimenez, Mario; Wright, Timothy (2026). Vocal development and patterns of vocal variation inform conservation of a critically endangered macaw [Dataset]. Dryad. https://doi.org/10.5061/dryad.z8w9ghxrb.
- Declared license
- CC0 1.0 under Dryad repository policy; the item page did not expose per-file license fields in this review.
- License scope
- Dryad dataset files only. This does not license the publisher article or any sound files held outside the public deposit; associated scripts are cataloged separately.
- Stated conditions
- Cite the dataset. Before any use or acquisition, inspect the exact file, record version, RDS contents, group structure and threatened-species location sensitivity. No model training or redistribution is approved by this metadata entry.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-12
Metadata only
R scripts for adult call acoustic analysis and nestling vocal-development analysis, according to the Dryad file descriptions.
Review, rights and research limits
- Version or release
- Scripts listed in the Dryad record published 2026-04-23; exact code revision not separately pinned
- What we reviewed
- File inventory and README descriptions only. Script contents, dependencies, execution safety and output reproducibility were not reviewed.
- Access described in the record
- R script files are listed inside the Dryad dataset record; no script bytes were acquired.
- Current research decision
- Keep metadata-only. Confirm the exact license scope and statically inspect scripts and dependencies before copying or executing.
- Limitations
- Dryad policy for data files does not establish the separate license or security of each software component. The scripts require external packages and sound-file access; no runnable environment or independent reproduction was verified.
- Attribution
- Allison, Alexander; Jimenez, Mario; Wright, Timothy (2026). Associated R scripts in Dryad record 10.5061/dryad.z8w9ghxrb.
- Declared license
- Dryad policy requires all files hosted there, including code, to abide by CC0; no separate item-level script notice was displayed.
- License scope
- R scripts only; separate from Dryad data files, publisher article and any author-held recordings.
- Stated conditions
- The policy-level CC0 statement does not audit the script contents, dependencies or embedded third-party material. Inspect the exact file and provenance before copying, installing, executing or redistributing it.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-12
Metadata only
Compare frozen human-speech, animal-bioacoustic and general-audio representations on caller identification and call-type classification across four species.
Review, rights and research limits
- Version or release
- arXiv:2610.07107v1, submitted 2026-10-05
- What we reviewed
- Full arXiv v1 HTML reviewed, including dataset descriptions, encoder families, fold construction, result tables, the session-independent sensitivity analysis and conclusion. No paper-linked code or data release was identified in the reviewed record/full text; this was not an exhaustive search. No code, audio, dataset files or model weights were acquired or run.
- Access described in the record
- The arXiv HTML and version/license metadata were reviewed online; no files were copied.
- Current research decision
- Use as a recent preprint-level method and evaluation comparator. It supports transfer of acoustic caller/call-type information, not a claim of decoding communication or predicting independently observed behavior.
- Limitations
- This is arXiv v1; publication or peer-review status was not established in this review. Caller-identification folds were grouped by session, but for individuals with fewer than three sessions the largest session was split into contiguous blocks, so the same animal appeared across folds for 2/16 hyraxes, 13/33 finches and all 16 owls. In a session-independent sensitivity analysis, owl UAR fell by 0.19–0.37 across encoders; finch UAR was 0.44 for session-independent individuals versus 0.81 for block-split individuals. Call-type evaluation held callers out, but vocal-type labels are not meaning labels. The study uses four taxa and frozen encoders on reused corpora. Rights to the source audio and pretrained model assets remain separate and were not assessed.
- Attribution
- Arias-Vergara, T., Hauer, C., Brotier, H., Nöth, E., Maier, A. and Koren, L. (2026). Neural Representations, Natural Connections: What Transfers From Human Speech Foundation Models to Animal Vocalizations? arXiv:2610.07107v1.
- Declared license
- CC BY 4.0 as displayed on the arXiv v1 record for the manuscript.
- License scope
- The preprint manuscript only; the reused audio corpora, third-party code, dependencies and pretrained model weights have separate rights.
- Stated conditions
- Cite the exact version and follow CC BY 4.0 attribution terms. No paper text or figures are reproduced here. Do not infer permission for the underlying datasets, software or model weights.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Compare the relative acoustic structure of individual identity and group/site identity in learned parrot contact calls; methods comparator, not a context or meaning dataset.
Review, rights and research limits
- Version or release
- PLOS Computational Biology 19(7): e1011231 (2023)
- What we reviewed
- Reviewed the primary article sections on sampling, random-forest similarity, the species comparison, results, discussion, ethics, and linked data/code. The supplementary PDF, full analysis workflow, and raw audio were not reviewed or reproduced.
- Access described in the record
- Peer-reviewed open-access article. PLOS displays CC BY 4.0 for the manuscript. No article text or figures were copied.
- Current research decision
- Use as a parrot identity and social-scale method reference. Do not treat the reported training accuracy as held-out unseen-caller performance or as evidence of translation.
- Limitations
- The study reports 229 individual-scale monk-parakeet calls from 8 native-range and 9 introduced-range individuals, plus 1,353 site-scale calls across 63 sites. The random forest was trained on 156 calls from 8 known individuals. Its 97.44% accuracy (95% CI 93.57–99.30) is training accuracy. The remaining 73 calls from 9 other individuals were used to derive random-forest proximity patterns and cluster structure, not to report unseen-caller classification accuracy. The study infers identity-related information from acoustic convergence; it does not test receiver comprehension or assign call meanings. The authors identify playback work as necessary to test how receivers use signals. PLOS supplementary analyses were not audited.
- Attribution
- Smith-Vidaurre G, Pérez-Marrufo V, Hobson EA, Salinas-Melgoza A, Wright TF (2023). PLoS Comput Biol 19(7): e1011231. DOI 10.1371/journal.pcbi.1011231.
- Declared license
- CC BY 4.0 displayed by PLOS for the article.
- License scope
- Article text only. Linked Figshare data and GitHub/Zenodo code are separate assets with separately reviewed terms.
- Stated conditions
- Cite the article and attribute any permitted reuse. No article text or figures are reproduced here; do not infer recording, data, or software rights from the manuscript license.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Potential source for a separately scoped acoustic identity/convergence reproduction; not a behavior/context-labelled corpus.
Review, rights and research limits
- Version or release
- Figshare DOI 10.6084/m9.figshare.22582099.v2; API and README refreshed October 24, 2026
- What we reviewed
- Refreshed the official Figshare v2 API and streamed README.md file 41233869 without retaining it. The API reports 22 files totaling 187,820,138 bytes and item-level CC BY 4.0. The README states that 1,596 selection-table sound.file names match WAVs in pre-processed_calls.zip, and that 1,582 calls were used in the paper; pinned MIT code explains the 14-row exclusion. Exact file names were not compared to the F0 subset. No audio or selection CSV was acquired, provider MD5 values were not recomputed, and no row values were inspected.
- Access described in the record
- Public Figshare v2 record and API. Its metadata lists pre-processed_calls.zip (31,079,669 bytes) and the selection CSV (440,873 bytes). The README was streamed for review and not retained; neither listed payload was downloaded.
- Current research decision
- Keep metadata-only. The matching WAV/selection-table names create a possible route to an exact source-file comparison, but no crosswalk to the 233-call F0 subset has been established. Any bounded identity reproduction still needs independent row/file verification, exact audio provenance and rights review, and qualified methods review. Exclude from context/meaning training by default.
- Limitations
- The README's 1,596 monk-parakeet selection rows include 14 site-scale calls from birds also represented in the individual-scale set; the pinned v1.0.0 site-scale script removes those 14 before the paper's scale comparison, leaving 1,582 (229 individual-scale plus 1,353 site-scale). This was reconciled from the README, article and code, not independently recomputed from the selection CSV or WAVs. No file-level provenance/privacy audit, animal/session grouping audit, full-code audit, or independent reproduction was performed. The README's author-stated reuse terms and item-level CC BY 4.0 are not independent verification of every source recording or third-party component.
- Attribution
- Smith-Vidaurre G, Pérez-Marrufo V, Hobson EA, Salinas-Melgoza A, Wright TF (2023). Figshare v2, DOI 10.6084/m9.figshare.22582099.v2.
- Declared license
- CC BY 4.0 declared by the Figshare record at item level.
- License scope
- Dataset item; the article, analysis code, dependencies, and any third-party recordings are separate components.
- Stated conditions
- Attribute the deposit and follow its declared terms. Its README states no use restrictions and requests prior contact to discuss future collaboration/co-authorship. Before retrieving, redistributing, or training on audio, reconcile source-recording provenance, privacy and exact license scope; provider-supplied checksums were not locally verified.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-13
Metadata only
Reproducibility reference for R Markdown analyses of acoustic identity and social-scale convergence.
Review, rights and research limits
- Version or release
- GitHub v1.0.0 tag; associated Zenodo DOI 10.5281/zenodo.8030605
- What we reviewed
- GitHub README, file listing, archived status, and MIT LICENSE reviewed. Resolved v1.0.0 to commit 1f7031dc996c79914ccf5d042181f947793fb459 and read one site-scale selection R Markdown file without retaining or executing it. Zenodo v1.0.0 metadata reports a 12,413,376-byte archive and the license field other-open; that separate archive was not acquired or inspected. The rest of the repository and dependencies were not audited.
- Access described in the record
- Public archived GitHub repository and Zenodo metadata. GitHub README describes ten R Markdown analyses plus custom functions and rendered HTML outputs.
- Current research decision
- Keep metadata-only. If reproduction becomes justified, resolve the Zenodo artifact license metadata, review the full code/dependency graph and corresponding permitted data, then use a bounded environment.
- Limitations
- The GitHub repository is archived. Its MIT license and Zenodo artifact license field other-open are distinct records; the snapshot license was not independently resolved. Only the count-exclusion portion of one source file was reviewed. The remaining code and dependency graph were not audited or executed; no runnable or reproduced result is claimed.
- Attribution
- Smith-Vidaurre G et al. (2023), analysis code accompanying PLoS Comput Biol 19(7): e1011231; archived GitHub repository and Zenodo v1.0.0.
- Declared license
- GitHub identifies the repository as MIT; Zenodo metadata for the linked archive says other-open.
- License scope
- GitHub repository and Zenodo archive have distinct license metadata. Neither determines the rights for the article or linked recordings.
- Stated conditions
- Use the GitHub repository under its MIT notice. Do not assume the archived Zenodo artifact has identical terms until its exact license is resolved; audit dependencies and embedded materials before execution or reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Understand the scope and limits of a caregiver-reported companion-parrot vocal-learning survey; not an audio corpus or communication benchmark.
Review, rights and research limits
- Version or release
- Figshare v4; DOI 10.6084/m9.figshare.19674330.v4; published 2022-12-12
- What we reviewed
- Reviewed the full main article text through Europe PMC XML and the official Figshare v4 API record. API metadata reports one XLSX file of 186,629 bytes and item-level CC BY 4.0. The survey questionnaire and workbook were not inspected; no data bytes were acquired.
- Access described in the record
- Public Figshare metadata for version 4 only. The article says the questionnaire requested respondent names and email addresses. No workbook or supplementary file was downloaded, inspected, or retained.
- Current research decision
- Keep metadata-only. Use the article to design distinctions between directly observed context and caregiver interpretation; do not use the survey table as audio training or a context benchmark. Review privacy, consent, and exact fields before considering secondary use.
- Limitations
- The authors received 898 voluntary responses and retained 877 parrots across 73 species after quality checks and exclusion of birds not reported to mimic human sounds. Recruitment through email, social media, and parrot-interest groups favors mimicry reports. Contextual use is caregiver-assessed rather than independently observed or tested against receiver response. The workbook has not been inspected for respondent identifiers or consent scope; the item-level license declaration does not resolve that privacy question. There is no audio in the cataloged item metadata.
- Attribution
- Benedict L, Charles A, Brockington A, Dahlin CR (2022). A survey of vocal mimicry in companion parrots. Scientific Reports 12, 20271. Dataset v4, Figshare, DOI 10.6084/m9.figshare.19674330.v4.
- Declared license
- Figshare declares CC BY 4.0 at the item level; the paper is separately CC BY 4.0.
- License scope
- The dataset item lists one XLSX file. Its contents, respondent identifiers, consent scope, and file-level notices were not inspected. Article text and any supplementary materials are separate assets.
- Stated conditions
- No file acquisition, redistribution, or training until the workbook's fields, respondent privacy, consent scope, and applicable terms are reviewed. The API supplies no MD5 for the listed file.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Learn from an established annotation and model-prediction review workflow before expanding Talk2Nature's own researcher-facing interface.
Review, rights and research limits
- Version or release
- Methods in Ecology and Evolution 16:19–28 (2025); version of record online 2024
- What we reviewed
- Complete primary article reviewed through the publisher and UCL open-access record, including the design rationale, bat and avian use cases, annotation and prediction workflow, and stated limits. Supporting information was reviewed only as described by the publisher; it was not separately downloaded or inspected.
- Access described in the record
- Peer-reviewed open-access article. The article declares CC BY 4.0. No text, figures, or supplementary files were copied or downloaded.
- Current research decision
- Use as an architecture and workflow reference. Evaluate Whombat as a separate optional research tool before building a second full annotation editor; do not treat annotation or model-assisted review as animal-language translation.
- Limitations
- The paper demonstrates bioacoustic annotation and model-prediction workflows in bat and avian applications. It does not establish suitability for Talk2Nature's capture app, data governance, accessibility, or species-specific science, and it is not a semantic-decoding result. No independent evaluation or integration test was performed.
- Attribution
- Martínez Balvanera S, Mac Aodha O, Weldy MJ, Pringle H, Browning E, Jones KE (2025). Methods in Ecology and Evolution 16:19–28. DOI 10.1111/2041-210X.14468.
- Declared license
- CC-BY-4.0
- License scope
- The article. The software, repository, dependencies, sample media, model outputs, and model weights are separate assets with separate terms.
- Stated conditions
- Attribute the authors and source and indicate changes if reusing article content. Talk2Nature publishes an original summary and link only.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-13
Metadata only
Potential separate research-workbench candidate; evaluate a standards-based exchange path without importing GPL code.
Review, rights and research limits
- Version or release
- v0.9.0; commit 6cc44a9ad788087ca5bfdd6cf6f22f464b94748e; PyPI release 2026-05-13; Python >=3.12
- What we reviewed
- Read only the README and LICENSE at the immutable commit and checked PyPI release metadata and publishing attestation. PyPI reports sdist SHA-256 dbb653fb94a7221134699dcb2a1ce5e28f63c1f86ae9ae7e34bd5adb214d7c79; that provider-reported digest was not locally verified. No code, package, dependencies, sample media, or weights were downloaded, installed, audited, or executed.
- Access described in the record
- Public GitHub repository and PyPI release metadata. No Whombat source or package bytes were acquired. The separate soundevent library test is described in its own record.
- Current research decision
- Keep Whombat as an optional external research workbench and the AOEF export experimental. Test the package in the pinned Whombat application before calling it compatible or recommending field use. Do not copy GPL code into Talk2Nature.
- Limitations
- The pinned root LICENSE is GNU GPL version 3, which requires a separate compatibility review before any combination or distribution with Talk2Nature. The paper's CC BY 4.0 license does not cover code, dependencies, sample data, or model assets. Whombat v0.9.0 itself was not installed or tested; its resolved dependency versions may differ from the separately tested soundevent release.
- Attribution
- Whombat contributors, mbsantiago/whombat, v0.9.0, commit 6cc44a9ad788087ca5bfdd6cf6f22f464b94748e.
- Declared license
- GNU GPL-3.0 (pinned repository LICENSE)
- License scope
- Repository source code at the pinned commit only. Article text is CC BY 4.0; dependencies, sample media, and model assets are separate.
- Stated conditions
- Preserve GPL terms for any permitted redistribution of covered code and obtain a compatibility review before combining or distributing it with Talk2Nature. No covered code is copied here.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-13
Metadata only
Provide an independent format-level check for a local Talk2Nature-to-AOEF export without adding a third-party application or runtime dependency.
Review, rights and research limits
- Version or release
- 2.10.0; AOEF 1.1.0; released 2025-12-08; wheel SHA-256 3d7af33206faa66056a445f1c69ddca3fd7ed696175e759acb1ad0565009854d
- What we reviewed
- Reviewed official PyPI release metadata and AOEF save/load documentation. Retrieved the exact wheel temporarily and verified its SHA-256 against the provider value. Inspected its MIT license and used its local save/load functions with an invented WAV and synthetic interval annotations; relative path, AOEF version, tags and time intervals survived. The temporary wheel was removed. This did not run Whombat or test real audio.
- Access described in the record
- One exact PyPI wheel was held temporarily for a synthetic compatibility check and is not retained in the repository or external collection. The resource catalog has no retained package files.
- Current research decision
- Use as an optional format-validation reference only. Do not vendor the package, install it in Talk2Nature, or claim Whombat UI compatibility based on this library test.
- Limitations
- The soundevent documentation says the library is under active development. Its exact serialization may change; the installed version resolved by Whombat may differ. The library test proves neither the Whombat application import path nor a scientific annotation workflow.
- Attribution
- soundevent contributors, soundevent 2.10.0, PyPI; MIT-licensed package. AOEF documentation: https://mbsantiago.github.io/soundevent/generated/gallery/1_saving_and_loading/.
- Declared license
- MIT
- License scope
- The soundevent 2.10.0 package only. Dependencies, Whombat, articles, audio fixtures and any models are separate assets.
- Stated conditions
- Preserve the MIT notice if redistributing the package. Talk2Nature does not bundle or depend on it.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-13
Metadata only
Discover and access existing multi-taxon bioacoustic datasets through a shared Python interface.
Review, rights and research limits
- Version or release
- 1.11.1; released 2026-07-31; Python >=3.11
- What we reviewed
- Reviewed the repository README, project configuration, exact PyPI release metadata and MIT license statement. No package or dataset files were acquired or executed; individual dataset terms and code security were not reviewed.
- Access described in the record
- Public repository and PyPI metadata only. No package, data, credentials or access service was used.
- Current research decision
- Keep as a cross-species discovery and optional adapter candidate. Do not add it as a Talk2Nature dependency until one bounded use case justifies an isolated compatibility and maintenance review.
- Limitations
- MIT applies to alp-data code only. Each dataset retains separate terms and may have distinct provenance, privacy, consent and split limitations. Package declares Python >=3.11 and several cloud/storage, audio and data-frame dependencies; compatibility and operational behavior were not tested.
- Attribution
- Earth Species Project, alp-data 1.11.1; MIT license for package code only.
- Declared license
- MIT
- License scope
- alp-data 1.11.1 package code only. Datasets, recordings, annotations, model assets and dependencies have separate rights.
- Stated conditions
- Preserve the MIT notice for any code redistribution. Review each dataset’s exact source terms independently before use.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Separate acoustic target/noise detection from species and call-type classification across animal-specific datasets.
Review, rights and research limits
- Version or release
- Scientific Reports 12:21966 (2022)
- What we reviewed
- Full publisher article text reviewed, including task/data methods, preprocessing, recording-level split policy, results, discussion and ethics/data-collection description; Tables 1 and 3 were checked in the targeted full-text review. The paper keeps clips from one recording in one split but does not establish individual-animal holdout. No supplement or model/analysis reproduction.
- Access described in the record
- Open publisher article full text; no article file retained.
- Current research decision
- Use as a methodological reference for staged acoustic detection and call-type evaluation, not evidence of translation or behavior meaning.
- Limitations
- Reported accuracy is paper-specific and not independently reproduced. The recording-grouped split does not prove animal identity separation. Figure/image notices may differ; data and code have separate licenses.
- Attribution
- Bergler et al., Scientific Reports 12:21966 (2022), DOI 10.1038/s41598-022-26429-y.
- Declared license
- CC BY 4.0 for the article as identified by MPG.PuRe
- License scope
- Article text under its stated license; images or third-party material may have separate notices. Dataset, software and weights are excluded.
- Stated conditions
- Attribute the article and indicate modifications; inspect any third-party figure/material notice before reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-13
Metadata only
Train and evaluate animal-specific target/noise, species or call-type classifiers using the published framework.
Review, rights and research limits
- Version or release
- Mutable default branch reviewed 2026-10-13; no commit pinned
- What we reviewed
- Read the official README, task overview, data-split guidance, package requirements and GPL-3.0 declaration. No code, environment or model was acquired or executed.
- Access described in the record
- Public GitHub metadata/README only.
- Current research decision
- Reference only; do not vendor or add as a Talk2Nature dependency without a pinned-code, license-compatibility, dependency-security and maintenance review.
- Limitations
- Repository code is GPL-3.0; the data and paper have separate terms. The README lists older dependencies, including PyTorch 1.11 and librosa 0.8. Actual compatibility and security were not tested.
- Attribution
- Christian Bergler et al., ANIMAL-SPOT repository, https://github.com/ChristianBergler/ANIMAL-SPOT.
- Declared license
- GNU GPL-3.0 as declared in repository root
- License scope
- Repository code only; paper, dataset, media, model outputs and dependencies are separate.
- Stated conditions
- Preserve GPL-3.0 terms for covered code. Obtain a separate compatibility review before combining or distributing code with Talk2Nature. No code copied.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Metadata only
Candidate only for monk-parakeet target-versus-noise detection and split auditing; this deposit is not documented as the paper's call-type corpus.
Review, rights and research limits
- Version or release
- Edmond V2.0, published 2024-04-08; one public ANIMAL-SPOT_FILES.tar.gz archive (547,403,503 bytes; provider MD5 5443c6564c377d19576f5ea74b2bd061)
- What we reviewed
- Re-read the official Edmond V2.0 metadata API on October 23, 2026: one listed public 547,403,503-byte archive, dataset-level CC BY 4.0, provider MD5 5443c6564c377d19576f5ea74b2bd061, file restricted=false and fileAccessRequest=true. The official Dataverse 6.11 API documentation says access-request settings are ignored when a file is unrestricted. Edmond's own guide separately says downloads require acceptance of its terms and the dataset license; its current terms still do not clearly scope the registration clause to external downloads of existing public deposits. The author README describes 6,745 target/noise clips and YEAR+TAPENAME grouping; the paper states excerpts from one recording stay in one split with a default 70/15/15 partition. Neither establishes individual-animal separation. The archive and exact split files remain uninspected. No terms were accepted, access request made, file downloaded or archive inspected.
- Access described in the record
- Metadata-only. The API marks the file unrestricted and also reports fileAccessRequest=true; Dataverse documentation says the access-request setting is ignored when unrestricted. Edmond's separate guidance still requires acceptance of its terms and the dataset-specific license for downloads. The terms' MPS-project service language is not explicitly scoped to external downloads of published public datasets, so the permitted use path remains conditional. No terms were accepted, no archive was acquired and no local checksum was checked.
- Current research decision
- Keep metadata-only. Do not accept repository terms or retrieve files without explicit owner approval. The API flag is not itself an access-request gate because restricted=false, but it does not resolve Edmond's separate download terms. If the narrow held-out-recording target/noise reproduction remains worthwhile, first resolve whether the current terms permit Talk2Nature's intended use; then inspect archive contents, label provenance, exact split membership and animal/session recurrence, and obtain qualified bioacoustics review. Report recording-held-out and animal-held-out results separately; do not describe this deposit as call-type-labeled or animal-held-out.
- Limitations
- Edmond metadata lists one archive but does not expose its internal manifest. The 6,745-clip count, target/noise labels, raw prediction recording and split contents are repository README claims not independently checked against V2. The paper and framework guide keep samples from a recording/year+tape group together, but neither establishes individual-animal separation; an animal may recur across recordings. CC BY 4.0 is the dataset-level declaration, not proof that every embedded component has identical provenance or rights. Dataverse's API semantics clarify that fileAccessRequest=true is ignored when restricted=false; Edmond's separate download-term requirement and its applicability to Talk2Nature remain unresolved.
- Attribution
- Smeele, Simeon, 2023, ANIMAL-SPOT example data, Edmond V2.0, DOI 10.17617/3.KQPPXF; cite the related ANIMAL-SPOT and monk-parakeet source studies as required by the dataset record.
- Declared license
- CC BY 4.0 declared for Edmond V2.0 at dataset level; component-level provenance has not been inspected
- License scope
- The V2.0 dataset deposit and its single listed archive; excludes ANIMAL-SPOT software, paper, model weights and any separately marked third-party components.
- Stated conditions
- Attribute and follow CC BY 4.0; Edmond requires acceptance of its terms and the dataset license for download. API metadata reports restricted=false and fileAccessRequest=true; Dataverse documentation says that access-request setting is ignored for unrestricted files. The current Terms of Use describes an MPS-associated research-service restriction but does not separately clarify its application to external downloaders of existing public datasets. Resolve that point before retrieval or use; inspect archive-level notices and component provenance before redistribution.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-13
Metadata only
Discover candidate bioacoustic datasets and compare what metadata is available before selecting any species-specific research question.
Review, rights and research limits
- Version or release
- c412c5c3fd65552d17e492dac35f2be2c30349a4; commit dated 2026-05-26
- What we reviewed
- Pinned README and root inventory plus GitHub repository API metadata reviewed. The catalog schema and contribution route were inspected; no individual dataset record, linked files or code were acquired or run.
- Access described in the record
- Public README and GitHub API metadata at the pinned commit. No dataset rows or files copied.
- Current research decision
- Metadata-only discovery reference. Use to find candidates and metadata gaps; verify each dataset at its original source before considering research use. Do not treat catalog inclusion as Talk2Nature admission or permission.
- Limitations
- The directory says its dataset information is progressively updated and may be incomplete. GitHub reports no recognized repository license and the pinned root inventory has no LICENSE file, so code permissions are unresolved. Dataset-level access, terms, rights, consent, privacy, sensitive locations, label quality and split integrity were not reviewed.
- Attribution
- bioacoustic-ai contributors, Bioacoustics datasets directory, commit c412c5c3fd65552d17e492dac35f2be2c30349a4; no affiliation is implied.
- Declared license
- No recognized repository license in GitHub API metadata; no LICENSE file in pinned root inventory. Treat code permissions as unresolved.
- License scope
- Upstream catalog code and metadata only; every linked dataset, recording, annotation and model retains separate terms.
- Stated conditions
- Do not copy, execute or redistribute the upstream code based on public visibility alone. Review each linked dataset's exact source terms independently before access or reuse. No code or data was copied.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Reference for ultrasonic plant-emission measurement and stress-condition classification, not animal communication or translation.
Review, rights and research limits
- Version or release
- Cell 186, 1328-1336.e1-e4 (2023); DOI 10.1016/j.cell.2023.03.009
- What we reviewed
- Read the main published article and full STAR Methods, including recording hardware, preprocessing, plant-held-out evaluation, greenhouse results and data/code availability; checked relevant figure legends and selected supporting captions. Publisher article endpoint was inaccessible; the linked paper copy was used. Supplementary source files, dataset files and code were not inspected.
- Access described in the record
- Metadata and original-paper DOI linked; Talk2Nature publishes its own summary only.
- Current research decision
- Use as the primary measurement study in a separate plant-acoustics research branch. Do not interpret a stress-state classifier as decoding meaning; any phone feature would need a sensor capable of the documented ultrasonic range and sampling.
- Limitations
- The core experiments concern tomato and tobacco under controlled acoustic-box/greenhouse conditions, with a small exploratory species survey. No receiver response is tested in this paper; independent reproduction and field generalization are absent.
- Attribution
- Khait et al. (2023), Cell 186:1328-1336, https://doi.org/10.1016/j.cell.2023.03.009.
- Declared license
- CC BY 4.0 stated in the full published paper copy.
- License scope
- The journal article only; figures or other third-party material may have separate notices. The dataset, classifier code and model artifacts are separate components.
- Stated conditions
- Attribute the article when reusing its material and check individual figure notices. Talk2Nature links and paraphrases rather than reproducing the paper.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Critical context for distinguishing plant acoustic emissions and physiological cues from experimentally supported receiver communication.
Review, rights and research limits
- Version or release
- Trends in Plant Science 29(6), 662-667 (2024); DOI 10.1016/j.tplants.2023.11.023
- What we reviewed
- Reviewed the Opinion's historical framing, mechanism discussion, receiver-evidence conclusion and open questions from an institutional repository copy. This is a critical synthesis, not a new experiment.
- Access described in the record
- Citation and institutional full-text link only; no article files or figures copied.
- Current research decision
- Use to bound claims and identify testable mechanism/receiver questions. Read alongside the 2026 moth behavioral study rather than treating this 2024 view as the final state of the literature.
- Limitations
- Opinion paper, not a new dataset or experimental replication. The article's exact reuse license was not verified in this review.
- Attribution
- Nardini, Cochard and Mayr (2024), Trends in Plant Science 29:662-667, https://doi.org/10.1016/j.tplants.2023.11.023.
- Declared license
- The article's reuse license was not verified; metadata and citation only.
- License scope
- This article only; cited papers and their data/code have separate rights.
- Stated conditions
- Do not copy or redistribute the PDF, text or figures based on repository availability. Link to the record and publish original summaries only.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Potential plant-sound event and stress-condition methods reference; not a dataset for animal communication or phone-microphone claims.
Review, rights and research limits
- Version or release
- Dryad record dated 2023-04-03; PlantSounds.zip 10 MB plus README.md 806 B
- What we reviewed
- Reviewed the exact Dryad page, listed archive/README and Dryad's current CC0 reuse policy. The landing page describes 2 ms WAV clips sampled at 500 kHz across dry/cut tomato and tobacco, empty-pot and greenhouse-noise folders. The archive, internal manifest, labels, split membership and file-level checksums were not inspected.
- Access described in the record
- Metadata-only; no archive or audio downloaded.
- Current research decision
- Keep as a discovery/reference record. Consider a bounded analysis only after a qualified plant-acoustics reviewer selects a concrete sensor/method question and the exact archive manifest is checked. Current collection tooling does not have a Dryad adapter and individual-file cap is 5 MiB; no acquisition was attempted.
- Limitations
- One small controlled-study deposit, not a broad plant corpus. Public CC0 status does not establish scientific suitability, acquisition/admission, annotation quality, or generalization. Its 500 kHz recordings require specialized ultrasound equipment and cannot be represented by ordinary phone audio.
- Attribution
- Khait et al. (2023), Recorded plant sounds from: Sounds emitted by plants under stress are airborne and informative [Dataset], Dryad, https://doi.org/10.5061/dryad.jwstqjqf7.
- Declared license
- CC0 1.0 per Dryad's repository-wide dataset reuse policy; the dataset page does not display an item-specific license field.
- License scope
- Files in Dryad dataset DOI 10.5061/dryad.jwstqjqf7 only; paper, Zenodo code and any model artifacts are separate.
- Stated conditions
- Cite the dataset as scholarly practice. Inspect the exact archive manifest and intended analysis before acquisition or research admission; CC0 does not imply that the data are a valid benchmark.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-13
Metadata only
Metadata-only reference to the classifier training function cited by the plant acoustics paper.
Review, rights and research limits
- Version or release
- Zenodo v1, published 2023-02-06; one 2.4 kB Python file
- What we reviewed
- Reviewed the exact Zenodo v1 record, file size and rights section. The License field is blank; the 2.4 kB Python file was not downloaded, inspected or run.
- Access described in the record
- Metadata-only official record.
- Current research decision
- Do not acquire, copy, execute, vendor or redistribute the code until a clear license is available. A future benchmark can use an independently implemented baseline if the scientific protocol is approved.
- Limitations
- A single training function is not a complete reproducibility package. Dependencies, preprocessing, versioned environment and exact relation to the published metrics have not been audited.
- Attribution
- Khait et al. (2023), CNN sounds classifier - training function, Zenodo v1, https://doi.org/10.5281/zenodo.7612742.
- Declared license
- No license is shown in the Zenodo v1 record; rights unresolved.
- License scope
- The deposited classifier code file only; the paper and Dryad dataset have separate terms.
- Stated conditions
- Do not acquire, copy, execute or redistribute the file based on public visibility. Resolve rights separately first.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Methods reference for multilabel coarse soundscape context and cross-domain evaluation; not an animal communication or species-identification benchmark.
Review, rights and research limits
- Version or release
- arXiv v2, 2026-05-21; paper status described as under review in the pinned code repository README checked 2026-10-13
- What we reviewed
- Reviewed the full arXiv v2 HTML manuscript: datasets, architectures, evaluation strategy, results, errors and ecological case study. The authors report a large in-domain/cross-domain performance gap. Their best post-processed BEsound macro-F1 of 0.799 uses class thresholds and window-count settings selected on BEsound itself, so it is a tuned evaluation result, not an untouched held-out estimate. No Talk2Nature reproduction.
- Access described in the record
- Metadata and open manuscript reviewed; no article file, figure, audio, code or model artifact copied.
- Current research decision
- Use as a methods and product-boundary reference. Do not describe its output as species identity, animal message or conversation. Revisit quantitative claims if a peer-reviewed version or independent evaluation appears.
- Limitations
- The paper combines public and non-public datasets; BEsound and other collections are not all directly accessible. BEsound is used for cross-domain evaluation and also for selecting post-processing settings. Dataset annotation differences, domain transfer and insect/geophony/silence confusions remain material. Results are author-reported and not reproduced by Talk2Nature.
- Attribution
- Gebhard et al. (2026), CoarseSoundNet: Building a reliable model for ecological soundscape analysis, arXiv:2605.21143v2, https://doi.org/10.48550/arXiv.2605.21143.
- Declared license
- The arXiv record declares CC BY-NC-SA 4.0 for the article.
- License scope
- Paper text and figures only; code, weights and each training dataset have separate terms.
- Stated conditions
- Publish an original summary and citation; do not copy article text, figures or supplementary material.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-13
Metadata only
Reference implementation for the paper's soundscape experiments; potential later reproducibility candidate only after scientific and dataset review.
Review, rights and research limits
- Version or release
- main at commit b699189392a901f28765614ec5083e8338616322, checked 2026-10-13
- What we reviewed
- Pinned the public main ref and reviewed the repository README and license metadata. GitHub identifies MIT; the README says the repository is under construction and directs users to the model card for inference. No code or dependency was downloaded or run.
- Access described in the record
- Public metadata and source links only.
- Current research decision
- Keep as a linked external reference. Do not vendor or execute code as part of the current app or benchmark.
- Limitations
- Under-construction instructions limit reproducibility. MIT covers this repository's software only, not weights, base encoders, datasets or dependencies. No Talk2Nature environment or result reproduction.
- Attribution
- CHI-TUM, CoarseSoundNet repository, commit b699189392a901f28765614ec5083e8338616322, https://github.com/CHI-TUM/CoarseSoundNet.
- Declared license
- MIT per the pinned repository license.
- License scope
- Repository software only; model weights, encoders, dependencies, datasets and paper have separate terms.
- Stated conditions
- Review dependencies and dataset terms before any future execution or reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Model · Catalog reviewed 2026-10-13
Metadata only
Author-provided model for broad soundscape-layer classification, not focal-animal detection, species identification or meaning inference.
Review, rights and research limits
- Version or release
- Hub revision e8217024a9b69d2af76e031db8eec03bbcdd7a33, last modified 2026-07-10; listed weight/optimizer artifacts total about 336 MB
- What we reviewed
- Reviewed the pinned Hub card and API metadata for commit, declared license and file inventory only. No weight file was downloaded, installed, loaded or evaluated.
- Access described in the record
- Metadata-only.
- Current research decision
- Do not integrate into the public phone app or commercial-capable path. A later research evaluation would need exact encoder, dependency, data, hardware and evaluation-split review.
- Limitations
- CC BY-NC-SA weights are not a default commercial dependency. The card's own performance claims are author-reported. The model's broad classes do not identify which animal produced a sound or establish communication.
- Attribution
- HearTheSpecies, CoarseSoundNet model, revision e8217024a9b69d2af76e031db8eec03bbcdd7a33, https://huggingface.co/HearTheSpecies/CoarseSoundNet.
- Declared license
- CC BY-NC-SA 4.0 per the Hub card; non-commercial restriction applies to the listed model artifact.
- License scope
- Model repository revision and weights only; base encoder, training data, inference code and dependencies are separate.
- Stated conditions
- Do not integrate into a commercial product without resolving all component terms. No weights were acquired.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Potential ecoacoustic context-classification reference with labels for anthropophony, biophony, geophony and silence; not a focal-animal communication corpus.
Review, rights and research limits
- Version or release
- Zenodo record dated 2022-07-14; EDANSA-2019.zip is 7,924,056,990 bytes; provider MD5 e6c62322baff56430c88e6323267a461
- What we reviewed
- Reviewed the Zenodo landing page and record API metadata only. API reports CC BY 4.0, one 7.9 GB ZIP and provider MD5; rendered landing page has a blank license field. No archive, audio, manifest or label rows were downloaded or inspected, and the checksum was not independently verified.
- Access described in the record
- Metadata-only; archive not acquired.
- Current research decision
- Retain as a linked discovery record. Do not attempt a full archive download through the current small-file collector. Any future targeted analysis needs a specific scientific question, file-level provenance, checksum and split/label review.
- Limitations
- A repository-level license does not prove all files are suitable or rights-cleared for a Talk2Nature task. The large archive and uninspected internal structure preclude an assumption of acquisition, training admission or reproduction. It is an ecoacoustic soundscape corpus, not a translation dataset.
- Attribution
- Çoban et al. (2022), EDANSA-2019: The Ecoacoustic Dataset from Arctic North Slope Alaska, Zenodo, https://doi.org/10.5281/zenodo.6824272.
- Declared license
- Zenodo API metadata declares CC BY 4.0, but the rendered record's license field is blank.
- License scope
- The exact Zenodo dataset record/archive only; the paper, model weights, code and every input source have separate terms.
- Stated conditions
- Resolve the metadata-display discrepancy and inspect exact file/label provenance before acquisition or reuse; retain attribution.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Methods reference for masked acoustic-token generation, acoustic style transfer, and evaluation of sperm-whale coda representations.
Review, rights and research limits
- Version or release
- arXiv:2512.02206v1, posted 2025-12-01; NeurIPS 2025 per the official project repository
- What we reviewed
- Full main text and targeted Appendix E methods reviewed, including data, model training, compute, downstream evaluation, expert perceptual design and limitations. Appendix D and supplementary artifacts were not fully reviewed; no independent reproduction.
- Access described in the record
- Public arXiv manuscript; no figures, article file or supplementary artifacts acquired.
- Current research decision
- Keep as a methods reference only. It does not establish semantic translation, and the reported downstream evaluation has test-set model selection with no verified animal/recording grouping.
- Limitations
- Five-expert perceptual study; test-set selection; grouping and untouched-holdout status not established in the reviewed description. Acoustic similarity is not comprehension or meaning.
- Attribution
- Paradise et al. (2025), “WhAM: Towards A Translative Model of Sperm Whale Vocalization,” arXiv:2512.02206v1; NeurIPS 2025 as identified by the official repository.
- Declared license
- CC BY-NC-ND 4.0, declared on the arXiv record.
- License scope
- Manuscript only. Code, DSWP/CETI data, model weights and pretrained components have separate rights.
- Stated conditions
- Talk2Nature publishes an original summary and citation link; no article or figure reproduction.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-13
Metadata only
Reference implementation for the paper’s audio generation, fine-tuning and downstream evaluation methods.
Review, rights and research limits
- Version or release
- main resolved to 00a8b787c040db23cd51ac4417481a09ac354985 on 2026-10-13
- What we reviewed
- Reviewed official repository overview, README installation/training/reproduction instructions and displayed MIT license metadata at a revision resolved with read-only git ls-remote. No code download, dependency installation, execution or security audit.
- Access described in the record
- Public, pinned GitHub source.
- Current research decision
- Do not import or execute. Consider only as a future reproducibility reference after dependency, data and weight rights review.
- Limitations
- README requests Python 3.9, VampNet, madmom, ffmpeg and separate weights/data; dependencies and scripts have not been audited. The README says the full results require DSWP+CETI annotations and that only part of the data was public at publication. Repository code terms do not cover data or weights.
- Attribution
- Project CETI, WhAM code repository, commit 00a8b787c040db23cd51ac4417481a09ac354985.
- Declared license
- MIT per the official GitHub repository.
- License scope
- Repository source code only; pretrained VampNet components, WhAM weights, datasets and dependencies have separate terms.
- Stated conditions
- Retain the MIT notice if code is later used; inspect each dependency/artifact separately. No code was acquired.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Potential acoustic-structure/representation methods data; not a behavior-context or semantic-translation dataset.
Review, rights and research limits
- Version or release
- Repository revision a2e5d6dd02fc60343e1288c33314e14e8b7aa5be; card lists 1,501 snippets, ~45 minutes and 585 MB
- What we reviewed
- Reviewed official dataset-card metadata, size, row count, stated license, collection/method description and limitations. The public revision was resolved with read-only git ls-remote. No audio rows, archives or files were downloaded or inspected.
- Access described in the record
- Public metadata and download listing; audio remains unacquired.
- Current research decision
- Keep metadata-only. Do not admit to a context/meaning benchmark: the card says snippets lack behavioral context and per-file recorder metadata and all originate from one clan and region. Resolve why the current 1,501-row card differs from the paper’s 2,507 DSWP training count before any reproduction.
- Limitations
- The CC BY 4.0 declaration is from the dataset card and is not an independent source-rights audit. Exact file provenance, label construction, identity/session grouping and the relation to the training set in the paper remain unchecked. CETI data, article, code and model weights are separate components.
- Attribution
- Dominica Sperm Whale Project; dataset card maintained by Orr Paradise/project authors at Hugging Face, https://huggingface.co/datasets/orrp/DSWP.
- Declared license
- CC BY 4.0 per the current dataset card.
- License scope
- This public DSWP release only; the paper, code, CETI recordings and model weights are separate.
- Stated conditions
- Retain attribution and verify exact release/file provenance and scientific suitability before reuse. No files were acquired.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Model · Catalog reviewed 2026-10-13
Metadata only
Research checkpoint for WhAM inference; no Talk2Nature task or product use established.
Review, rights and research limits
- Version or release
- Zenodo v1, published 2025-12-02; four listed files totaling about 3.1 GB
- What we reviewed
- Reviewed official Zenodo version metadata, file names/sizes and rights display only. The record lists four weight files (~3.1 GB) and MD5 values; no bytes were acquired and no checksum was verified locally.
- Access described in the record
- Public Zenodo record metadata; weights not acquired.
- Current research decision
- Do not download or use until an explicit weight license, source-data terms, dependencies and intended use are resolved. The MIT code license does not clear these weights.
- Limitations
- No license was visible in the reviewed Zenodo Rights/License field. No integrity verification, loading, inference or independent performance check.
- Attribution
- Orr Paradise, WhAM (Whale Acoustics Model) weights, Zenodo v1, DOI 10.5281/zenodo.17633708.
- Declared license
- Unspecified on the reviewed record; unresolved.
- License scope
- Listed model-weight files only; repository code and training data are separate.
- Stated conditions
- Do not acquire, redistribute, run or include in a product until exact weight rights and applicable data/dependency terms are resolved.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Standard · Catalog reviewed 2026-10-13
Metadata only
Candidate packaging reference for sharing structured biodiversity data with a descriptor, tabular resources and explicit schemas.
Review, rights and research limits
- Version or release
- Official guide issued 2026-05-26; uses Data Package specification v1 and the versioned DwC-DP 1.0 profile
- What we reviewed
- Reviewed the official current guide sections on scope, required descriptor and data tables, schemas, field definitions and the versioned profile, plus the conceptual-model sections on Occurrence, Identification and Media. Also checked the versioned profile and event-schema URLs and the pinned source snapshot, which is marked pre-review. No package was generated or validated.
- Access described in the record
- Public official TDWG standard documentation.
- Current research decision
- Use as a design reference only. No current Talk2Nature export claims DwC-DP conformance. Wait for the exact released, versioned profile and schemas to resolve before drafting an adapter; then require validation, a loss report and specialist review.
- Limitations
- The standard does not define animal-call meaning, establish rights or consent, or make user-entered context an independently observed biological state. The profile and event-schema files visible in the source repository are unversioned and trace to a commit titled 'Initial pre-review DwC-DP schemas'; they are not treated as the released 1.0 profile. Talk2Nature's device clock is unverified and its public tools do not collect exact locations; do not invent missing fields to fill a biodiversity table.
- Attribution
- Darwin Core Maintenance Group. 2026. Darwin Core Data Package guide, issued 2026-05-26. Biodiversity Information Standards (TDWG).
- Declared license
- Reuse license for the reviewed documentation was not established.
- License scope
- This metadata record points to the standard documentation only; it does not convey rights in the standard text or any biodiversity data.
- Stated conditions
- Consult the current official standard and terms before reproducing documentation or asserting conformance.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Standard · Catalog reviewed 2026-10-13
Metadata only
Trace the guide's versioned profile/schema links and identify an authoritative, released artifact before any compatibility work.
Review, rights and research limits
- Version or release
- Repository commit e0cc2509953eeed24ad312b6e91e7bfcadd37a3b; 2026-05-02; commit message: Initial pre-review DwC-DP schemas
- What we reviewed
- Inspected the official GitHub tree and commit metadata, and read the profile and event-schema JSON from the pinned source paths without saving them to the repository. The commit is explicitly titled pre-review; no export was built or validated.
- Access described in the record
- Public GitHub repository. The GitHub license endpoint returned 404 during this review; no reuse or redistribution rights are assumed.
- Current research decision
- Metadata-only diagnostic reference. Do not use this unversioned pre-review snapshot as a conformance basis; wait for the versioned artifacts served by the official standard.
- Limitations
- The source snapshot is not the same as a released versioned profile. The profile URL and schema-index URL cited by the current guide returned HTTP 404 in this environment; this observation does not prove global unavailability. No Talk2Nature field mapping or biological interpretation follows from the schema files.
- Attribution
- TDWG rs.tdwg.org repository, pinned commit e0cc2509953eeed24ad312b6e91e7bfcadd37a3b, 2026-05-02.
- Declared license
- No license was returned by the GitHub license endpoint for this repository snapshot; rights unresolved.
- License scope
- This record points to source metadata only. No schema files are stored in Talk2Nature.
- Stated conditions
- Recheck the repository license and official release status before copying, adapting or redistributing any schema content.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Standard · Catalog reviewed 2026-10-13
Metadata only
Candidate vocabulary for describing biodiversity-related sound and other media, including rights, access and resource-level metadata.
Review, rights and research limits
- Version or release
- Current official term list; reviewed terms include updates through 2026-02-24
- What we reviewed
- Reviewed the current official term list and targeted terms for license statements, media resources, service access points, hashes and expert-review metadata. No terms were mapped to or tested against a Talk2Nature export.
- Access described in the record
- Public official TDWG standard documentation.
- Current research decision
- Keep as a future media-metadata reference alongside, not in place of, the current Talk2Nature journal and annotation formats. Do not claim conformance or imply that media metadata verifies its biological labels.
- Limitations
- Audubon Core describes biodiversity media resources; it is not a behavioral codebook, consent workflow, research protocol or semantic communication model. Rights and access must still be checked for each recording and representation.
- Attribution
- Audubon Core Maintenance Group. Audiovisual Core List of Terms. Biodiversity Information Standards (TDWG).
- Declared license
- Reuse license for the reviewed documentation was not established.
- License scope
- This metadata record points to the standard term list only; media, annotations and source documents have separate rights.
- Stated conditions
- Consult the current official term list and documentation before reusing text or implementing a mapping.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Methods reference for testing receiver responses to call components, combinations and reversed call order.
Review, rights and research limits
- Version or release
- Nature Communications 7, 10986 (2016); DOI 10.1038/ncomms10986
- What we reviewed
- Publisher full text reviewed directly: Methods, Experiments 1–2, Results, figures, discussion and ethics. No raw recordings or code were acquired; no replication or independent specialist review.
- Access described in the record
- Open publisher full text. No dataset or code deposit was identified in the page reviewed.
- Current research decision
- Use as a species-specific experiment-design reference. It supports careful receiver-response tests, not a general animal-language model or a Talk2Nature translation feature.
- Limitations
- The experiments concern Japanese great tits in specific antipredator and nest contexts. Behavioral outcomes were scanning and approach. The paper's result does not establish hierarchical syntax, broad productivity, conversation or general translation.
- Attribution
- Suzuki, T. N., Wheatcroft, D. & Griesser, M. (2016). Nature Communications 7, 10986. DOI 10.1038/ncomms10986.
- Declared license
- CC BY 4.0 per the publisher's rights statement.
- License scope
- Article text only. Third-party material may have separate credit-line terms; the article license does not clear recordings, datasets or code.
- Stated conditions
- Attribute the authors and source, link the license and indicate changes. Talk2Nature publishes an original summary and source link, not the article text or figures.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Follow-up field test of call order and whether two call types are perceived as one source-linked unit.
Review, rights and research limits
- Version or release
- Nature Communications 13, 5605 (2022); DOI 10.1038/s41467-022-33360-3
- What we reviewed
- Publisher full text reviewed directly: selected Methods and Results, ethics statement, data/code availability and rights statement. No data or code files were downloaded, inspected or executed.
- Access described in the record
- Open publisher full text; article points to a separate Figshare data-and-code deposit.
- Current research decision
- Use as a follow-up protocol reference: four playback treatments crossed natural/reversed order with one/two speaker locations, and measured flock mobbing responses around a shrike model.
- Limitations
- 64 flocks from one species and a related research line; trials were separated by at least 400 m to infer distinct flocks, rather than using individually marked birds. This is an extension, not an independent replication. The reported result does not show hierarchical or general animal language.
- Attribution
- Suzuki, T. N. & Matsumoto, Y. K. (2022). Nature Communications 13, 5605. DOI 10.1038/s41467-022-33360-3.
- Declared license
- CC BY 4.0 per the publisher's rights statement.
- License scope
- Article text only. The linked data and R code have separate rights and are cataloged separately.
- Stated conditions
- Attribute the authors and source, link the license and indicate changes. Talk2Nature publishes an original summary and source link, not the article text, figures or video.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-14
Limited sample route
Local inspection of the small source-data tables and their relationship to the 2022 receiver-response analysis.
Review, rights and research limits
- Version or release
- Figshare item 18007046 v1; DOI 10.6084/m9.figshare.18007046.v1; published 2022-09-04
- What we reviewed
- Downloaded both v1 data files through the bounded Figshare collector. On 2026-10-14 the current official API reported 2,058 bytes and MD5 for each; local files match both sizes and checksums. A standard-library audit verified that the two 64-row, eight-column tables match on trial metadata and agree on whether each flock had any approach/wing-flick event. It emitted treatment-level aggregates only; no inferential model or third-party R code was run.
- Access described in the record
- Public Figshare item v1 API record and files fetched into ignored data/external for local analysis. No raw table is in the website or Git; the committed report contains aggregate results and file checksums only.
- Current research decision
- Keep the raw sample local for structural and descriptive review. It contains behavioral outcome tables but no audio, so it is not an acoustic training corpus. The custom aggregate is not a reproduction of the paper's mixed-effects models or adjusted contrasts and does not identify a communication mechanism.
- Limitations
- The current API-reported MD5 values match the retained data bytes; checksums establish byte agreement with the provider manifest, not label validity or published-figure linkage. Tables include dates and caller_ID values but no coordinates. The item-level license does not establish that labels generalize beyond this experiment.
- Attribution
- Suzuki, T. N. & Matsumoto, Y. K. (2022), linked Figshare deposit for Nature Communications 13, 5605.
- Declared license
- CC-BY-4.0
- License scope
- The two .txt data files only. The R scripts and article have separately cataloged rights.
- Stated conditions
- Attribute Suzuki and Matsumoto and the Figshare DOI, link CC BY 4.0, indicate any changes, and review the received files for embedded notices or sensitive details before reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- A bounded sample path is approved by the collection rules; this is not scientific or training admission.
Code · Catalog reviewed 2026-10-14
Limited sample route
Static review of the two deposited R scripts for data linkage, analysis steps, dependencies and reproducibility boundaries.
Review, rights and research limits
- Version or release
- Figshare item 18007046 v1; DOI 10.6084/m9.figshare.18007046.v1; published 2022-09-04
- What we reviewed
- Read both deposited R scripts as text without executing them. The current official Figshare API reports file sizes and MD5 values; locally retained scripts match the reported values. The scripts use lme4 and emmeans for mixed-effects binomial models and adjusted contrasts but do not specify package versions or an execution environment.
- Access described in the record
- Public Figshare item v1 API record; two scripts fetched into ignored data/external for static review and are not part of the website build or Git.
- Current research decision
- Keep the scripts to static methods review for now. Do not execute or port them in this review cycle, or describe the analysis as reproduced. The item-level CC BY 4.0 notice is recorded separately from the paper; no standalone software license is identified.
- Limitations
- The scripts have no dependency lock, README, package versions, run log or established file-to-figure mapping. They were not executed. The API now provides MD5 values, superseding the 2026-10-13 snapshot that reported null MD5; checksum agreement does not reproduce the analysis.
- Attribution
- Suzuki, T. N. & Matsumoto, Y. K. (2022), linked Figshare deposit for Nature Communications 13, 5605.
- Declared license
- CC-BY-4.0
- License scope
- The two .R analysis scripts only. The .txt data and article have separately cataloged rights.
- Stated conditions
- Attribute Suzuki and Matsumoto and the Figshare DOI, link CC BY 4.0, indicate any changes, and inspect embedded notices and dependencies before reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- A bounded sample path is approved by the collection rules; this is not scientific or training admission.
Paper · Catalog reviewed 2026-10-13
Metadata only
A bounded test of whether a previously familiar heterospecific recruitment call can occupy the recruitment position in a novel ordered sequence.
Review, rights and research limits
- Version or release
- Current Biology 27(15), 2331–2336.e3 (2017)
- What we reviewed
- Publisher-indexed primary text surfaced the abstract, selected Results, STAR Methods, statistical analysis and data/software availability. Direct ScienceDirect retrieval returned HTTP 403; the cited institutional repository was anti-bot blocked. Supplementary material and article files were not inspected.
- Access described in the record
- Publisher article record and PubMed abstract; full-text page was not directly retrievable in this review.
- Current research decision
- Use as a receiver-response and control-design reference. The bounded ABC–tää versus tää–ABC result, plus weak/similar ABC–zi and zi–ABC responses, goes beyond an ABC-first-only explanation for these stimuli; it is not an open-ended animal-language result.
- Limitations
- The study tested a limited call substitution, not arbitrary new sequences. Its own ABC–D comparison reused a prior-year dataset. Outcomes were observed behavior, including scanning and approach, not a verbal translation or acoustic model benchmark. No replication or specialist review was performed here.
- Attribution
- Suzuki, T. N., Wheatcroft, D. & Griesser, M. (2017). Current Biology 27(15), 2331–2336.e3. DOI 10.1016/j.cub.2017.06.031.
- Declared license
- Publisher page describes an Elsevier user license; PubMed lists Elsevier copyright. Exact reuse scope was not retrieved.
- License scope
- Article text and figures. The linked dataset is cataloged separately.
- Stated conditions
- Link to the publisher record; do not reproduce article text, figures or supplementary files without confirming their terms.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Potential tabular reproduction asset for published playback outcomes and acoustic analyses; not assumed to contain raw audio.
Review, rights and research limits
- Version or release
- Mendeley Data v1, DOI 10.17632/r7v96zf5pp.1 (published 2017-07-27)
- What we reviewed
- Official Mendeley landing page reviewed for version, contributor, description and record-level CC BY 4.0 declaration; the page exposes no file rows. An unauthenticated GET to the documented public-dataset API returned HTTP 401. Mendeley's official API guide demonstrates Bearer-token authorization. No credentials or data files were used.
- Access described in the record
- The public v1 landing page is visible, but its file inventory was not exposed. Metadata API retrieval currently requires an authorized Bearer token; the unauthenticated request returned HTTP 401 on 2026-10-13.
- Current research decision
- Metadata only. Resume file review only if an authorized route or creator-provided manifest becomes available. Then verify exact filenames/checksums and whether recordings or only tabular outcomes are present before deciding whether a narrow statistical reproduction is useful. Do not use another person's credentials or infer file-level reuse rights from the record-level CC BY declaration.
- Limitations
- The deposit description does not establish audio availability, file structure, annotation quality, independent labels, or suitability for acoustic prediction. A CC BY record-level declaration does not replace file inventory, attribution and privacy review. No benchmark admission or model training.
- Attribution
- Suzuki, T. N. (2017). Wild birds use an ordering rule to decode novel call sequences. Mendeley Data v1. DOI 10.17632/r7v96zf5pp.1.
- Declared license
- CC BY 4.0 as displayed on the Mendeley Data v1 landing page.
- License scope
- Dataset record; the related article and any individual files or embedded third-party material retain their own terms.
- Stated conditions
- Attribute the dataset creator and source, link the license and indicate changes. Review exact files, embedded notices and privacy before retrieval or reuse; do not infer permission to access gated API routes from the record-level license.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Competing formal explanations for receiver-response evidence in Japanese-tit ABC–D sequences.
Review, rights and research limits
- Version or release
- Biological Reviews 99(4), 1278–1297 (2024)
- What we reviewed
- Reviewed Sections I–VII of the official HAL v1 author-accepted manuscript and consulted the formal appendices selectively. The publisher's separate supporting-information PDF returned HTTP 403 and was not separately retrieved. The formal derivations were not independently recalculated.
- Access described in the record
- Publisher DOI page plus the official HAL v1 record and manuscript; the HAL API declares the manuscript open access under CC BY 4.0.
- Current research decision
- Use the paper to frame testable alternatives, not as evidence that either theory is confirmed. Minimal Compositionality predicts that separate ABC and D calls may still support mobbing when linked to the same event, though less readily than ABC–D; Bird Implicatures predicts a standalone call can imply the fuller combination is false and block mobbing. Seek expert review before proposing an animal-facing test.
- Limitations
- This is a theoretical synthesis of earlier receiver studies, not a new playback experiment, dataset, code release or independent empirical replication. The accounts differ in auxiliary assumptions: Minimal Compositionality requires an event-like existential meaning for D, while Bird Implicatures requires ABC–D to be an evoked alternative and uses a receiver-centered version to address the hybrid sequence. Both can accommodate the reported source-separation result. The publisher supplement was not separately reviewed; appendices in the HAL manuscript were not fully recalculated.
- Attribution
- Schlenker, P., Salis, A., Leroux, M., Coye, C., Rizzi, L., Steinert-Threlkeld, S. & Chemla, E. (2024). Biological Reviews 99(4), 1278–1297. DOI 10.1111/brv.13068.
- Declared license
- CC-BY-4.0 per the HAL record for its deposited author-accepted manuscript
- License scope
- HAL manuscript only; the separate Wiley supporting-information file was not retrieved or rights-reviewed.
- Stated conditions
- Attribute the authors and source and comply with CC BY 4.0 for any reuse of the HAL manuscript. This project publishes an original summary and links only; no file is retained.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Bounded playback comparison of great-tit behavior toward Carolina-wren FME–D call sequences and D-only calls.
Review, rights and research limits
- Version or release
- Animal Behaviour 221 (2025), article 123050; early online 2025-01-24; DOI 10.1016/j.anbehav.2024.12.006
- What we reviewed
- Publisher-indexed Methods, Results and Discussion passages plus the institutional repository abstract and license metadata. Direct publisher retrieval returned HTTP 403; full article, figures and supplementary files were not inspected.
- Access described in the record
- Publisher-indexed text and University of Western Australia abstract are accessible; no article PDF, trial-level dataset, stimulus audio or code was acquired.
- Current research decision
- Metadata only. Use as a receiver-response comparison for cross-species mobbing calls, not a benchmark, semantic translation result or authorization for animal-directed playback.
- Limitations
- Single field playback study with 96 great tits, 16 per treatment; no reversed Carolina-wren sequence; only two constructed tracks per Carolina-wren call treatment. The authors say the alert/recruitment functions of Carolina-wren FME and D parts are unconfirmed. The nonsignificant sequence-species contrast does not establish equivalence. Data and code availability were not verified.
- Attribution
- Coye, C. & Dutour, M. (2025). Animal Behaviour, 221, article 123050. DOI 10.1016/j.anbehav.2024.12.006.
- Declared license
- The UWA repository record links the article under CC BY 4.0; no article file was inspected.
- License scope
- Published article only. Carolina-wren and great-tit source recordings are separate Macaulay Library/Xeno-Canto materials with their own terms.
- Stated conditions
- Link to the article and attribute the authors. Do not reproduce source recordings; review their separate item licenses. No paper text, figures, stimuli or third-party assets are included here.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Primary methods reference for controlled resource-transfer measurements through common endophyte networks.
Review, rights and research limits
- Version or release
- Scientific Reports 16, article 26111 (2026); published 2026-06-08; version of record 2026-08-20; DOI 10.1038/s41598-026-56653-9
- What we reviewed
- Full publisher article reviewed, including Methods, Results, limitations, data-availability and article-rights statements. No article assets or supplementary files were copied.
- Access described in the record
- Open-access publisher HTML. The article declares that its data and analysis scripts are in a separate GitLab repository.
- Current research decision
- Use as a bounded resource-transfer methods reference. It is not an animal communication result, a plant-language claim, a dataset license, or a Talk2Nature model capability.
- Limitations
- Controlled Arabidopsis/endophyte study; transfer pathways and some isotope controls remain ambiguous. No signal meaning or receiver interpretation was tested. Article terms do not license the separate GitLab data or code.
- Attribution
- Waschk, P., Spiegel, P., Gessler, A. et al. (2026). Scientific Reports 16, 26111. DOI 10.1038/s41598-026-56653-9.
- Declared license
- CC BY 4.0 per the publisher's Rights and permissions statement.
- License scope
- Article only; linked data and R scripts have separate terms. Third-party material may have separate credit-line rights.
- Stated conditions
- Attribute the authors and source, link the license and indicate changes. Talk2Nature uses an original summary and source link and reproduces no article text, figure or supplement.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Potential data for checking the paper's small controlled isotope-transfer results after rights and structure review.
Review, rights and research limits
- Version or release
- GitLab main commit 5b4ea51c038213e62feb6580daa5a48ccbfa32ff (2025-12-04)
- What we reviewed
- GitLab API metadata lists CEN.csv at 12,643 bytes and pins it to the cited repository commit. File content, schema, embedded identifiers, license and data provenance were not inspected; the API blob ID is not recorded as a file checksum.
- Access described in the record
- The file is listed in a public repository, but its contents and reuse terms were not verified. No data bytes were retrieved.
- Current research decision
- Metadata only. Do not acquire, analyze, redistribute or use for training until the exact dataset terms, columns, provenance and scientific fit are reviewed.
- Limitations
- A repository file listing is not a data license, inspected manifest, integrity checksum, privacy review or reproduction. The article's CC BY 4.0 license applies to the article, not automatically to CEN.csv.
- Attribution
- CEN.csv in Waschk et al.'s linked fungalecology/cen GitLab project, pinned to commit 5b4ea51c038213e62feb6580daa5a48ccbfa32ff.
- Declared license
- No dataset license declared in the project API or visible root files reviewed.
- License scope
- CEN.csv only; separate from the CC BY 4.0 article and from the R analysis scripts.
- Stated conditions
- Resolve dataset ownership, license, schema and provenance before retrieval or reuse; do not infer permission from public visibility.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-13
Metadata only
Potential statistical-analysis reproduction after code, dependency and rights review.
Review, rights and research limits
- Version or release
- GitLab main commit 5b4ea51c038213e62feb6580daa5a48ccbfa32ff (2025-12-04)
- What we reviewed
- The pinned GitLab tree lists isotope_analysis.R (35,976 bytes) and physiology_analysis.R (13,080 bytes). The scripts, dependencies, license, input/output paths and code behavior were not inspected or run.
- Access described in the record
- Two R scripts are listed in the public project tree, but no code license or dependency inventory was declared in the project metadata/root listing reviewed.
- Current research decision
- Metadata only. Do not download, execute, adapt or redistribute until the code license, exact files, dependencies and execution boundary are reviewed.
- Limitations
- File names and sizes do not verify source contents, dependency safety, statistical correctness, reproduction or rights. The article's CC BY 4.0 license does not automatically license the R scripts.
- Attribution
- isotope_analysis.R and physiology_analysis.R in the fungalecology/cen GitLab project at commit 5b4ea51c038213e62feb6580daa5a48ccbfa32ff.
- Declared license
- No code license declared in the project API or visible root files reviewed.
- License scope
- Two R scripts only; separate from CEN.csv and the CC BY 4.0 article.
- Stated conditions
- Establish code ownership, license and third-party dependencies before acquisition, execution, adaptation or redistribution.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Primary-source method comparator for researcher-observed context, note-type categories and parrot vocal variation.
Review, rights and research limits
- Version or release
- Frontiers in Zoology 13:40 (2016)
- What we reviewed
- Publisher full text reviewed for study design, methods, statistical analyses, results, discussion, data availability, and rights. No independent expert review or statistical reanalysis was performed.
- Access described in the record
- Open article at Springer Nature. The publisher's rights section states CC BY 4.0 for the article; supplementary data are separately described under a CC0 waiver.
- Current research decision
- Metadata only. Publish an original summary and link; do not copy article text, tables, figures, audio or supplements into Talk2Nature.
- Limitations
- The field study reports observational context associations and acoustic note-type analyses, not a validated context-prediction system, message decoding, or an animal-to-human translation. Some contexts have low sample sizes, and the authors state that playback evidence is needed to determine signal function.
- Attribution
- Montes-Medina AC, Salinas-Melgoza A, Renton K. Contextual flexibility in the vocal repertoire of an Amazon parrot. Front Zool. 2016;13:40. https://doi.org/10.1186/s12983-016-0169-6
- Declared license
- CC-BY-4.0 for the article, as stated by the publisher
- License scope
- Article text only; the publisher separately states CC0 for data made available with the article. The article license does not establish rights to an undisclosed code artifact.
- Stated conditions
- Credit the authors and source, link the license, and indicate changes. Talk2Nature publishes its own summary and source link, not the article or figures.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Methods and annotation-schema comparator for how observed behavioral context relates to parrot note types and acoustic measurements.
Review, rights and research limits
- Version or release
- Publisher additional-file listing for the 2016 version of record; binaries not inspected
- What we reviewed
- Reviewed the publisher's availability statement and metadata for 14 additional files. The article identifies an XLSX of statistical-analysis data (116 kB), context-description documents, a note-frequency table and example sound files. No file bytes were acquired, hashed, opened or admitted.
- Access described in the record
- The publisher says supporting datasets are included in the article and additional files. Its visible listing contains type-description mismatches: several entries are described as WAV files but their linked filenames end in .docx or .tif. The research viewer could not fetch the XLSX or DOCX attachment and timed out on selected audio/TIF links. No full 75-hour recording archive is described in the reviewed file list.
- Current research decision
- Metadata only. Before any use, inspect the exact file inventory and labels, verify each file's applicability of the CC0 statement, and obtain independent avian-bioacoustics review. Do not treat example clips or derived tables as a complete context-prediction dataset.
- Limitations
- The study used 75 hours of non-continuous field recordings and researcher-assigned contexts; some contexts had low sample sizes, and individual identity outside nest sites was inferred from recording day and distance. The article does not report a modern held-out-group ML benchmark or quantified independent annotation agreement. The supplementary list has type/description inconsistencies, and the actual binaries remain uninspected.
- Attribution
- Additional files associated with Montes-Medina AC, Salinas-Melgoza A, Renton K. Front Zool. 2016;13:40. https://doi.org/10.1186/s12983-016-0169-6
- Declared license
- CC0 for data made available with the article unless otherwise stated, per the publisher's rights section
- License scope
- Article data and listed supplements only; exact file identity and any file-specific exception remain unverified. Separate from the CC BY 4.0 article text and any analysis code.
- Stated conditions
- Retain file-level provenance and recheck the exact supplement's notice and identity before acquisition, analysis, redistribution or commercial use. Do not infer that a data waiver licenses code or a larger recording archive.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Standard · Catalog reviewed 2026-10-13
Metadata only
Self-assess readiness of a bounded open software component for possible Digital Public Goods Alliance review.
Review, rights and research limits
- Version or release
- Current DPGA website statement reviewed 2026-10-13; the page does not show a version number
- What we reviewed
- Reviewed the official Standard indicator page and application FAQ, including component scope, registry recognition process, two-reviewer assessment and annual status validity. No eligibility tool or application was completed.
- Access described in the record
- Public DPGA Standard and FAQ pages.
- Current research decision
- Use as a maintainer self-assessment and readiness roadmap only. Do not claim DPG status or include the private backend, research datasets or future AI model in a software-only scope without separate review.
- Limitations
- The Standard page does not expose a version number. This repository assessment is not an official eligibility decision, legal certification, UN endorsement, evidence of deployment, or a substitute for the DPGA review. The project has not demonstrated its SDG outcome, legal compliance or all content/harassment safeguards.
- Attribution
- Digital Public Goods Alliance. Digital Public Goods Standard and application FAQ, reviewed 2026-10-13.
- Declared license
- CC-BY-SA-4.0 for the DPG Standard, as stated on the official Standard page
- License scope
- Standard text only. The DPGA website, application FAQ and any embedded material may have separate terms; this record does not reproduce their content.
- Stated conditions
- Attribute and link the DPGA Standard and indicate changes if adapting its text; preserve applicable ShareAlike terms. This project publishes an original readiness analysis, not a copy of the Standard.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Methods reference for when citizen-science smartphone audio can support a defined bioacoustic question and how device variability changes acoustic measurements.
Review, rights and research limits
- Version or release
- PLOS ONE 16(6): e0253763 (2021)
- What we reviewed
- Selected full-text methods, results, discussion, data-availability and rights sections reviewed directly. No independent reanalysis or specialist review.
- Access described in the record
- Open-access PLOS ONE article.
- Current research decision
- Use as a design reference for species- and task-specific phone recording tests. Do not infer that consumer phones are calibrated or interchangeable.
- Limitations
- The study concerns nightingale songs in a Berlin project, a 2019 citizen-science sample and a small controlled set of recording devices. Results do not establish performance for other species, phone models, operating systems, browsers, codecs or Talk2Nature's capture path.
- Attribution
- Jäckel D, Mortega KG, Sturm U, Brockmeyer U, Khorramshahi O, Voigt-Heucke SL. PLoS ONE. 2021;16(6):e0253763. https://doi.org/10.1371/journal.pone.0253763
- Declared license
- CC BY 4.0, per the PLOS article rights statement
- License scope
- Article text only. The linked Zenodo data, any third-party content, and other materials have separate rights and privacy conditions.
- Stated conditions
- Attribute the authors and source, link the license and indicate changes. Talk2Nature publishes an original summary and link, not article text, tables, figures or recordings.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Potential reference for studying the provenance and acoustic usability of citizen-science nightingale recordings.
Review, rights and research limits
- Version or release
- Zenodo DOI cited by the 2021 article; record version and files not reviewed
- What we reviewed
- The article's data-availability statement was reviewed. The Zenodo record metadata, file inventory, license and data contents were not independently inspected.
- Access described in the record
- The article says the study data are openly published at this DOI; current record contents and access were not verified.
- Current research decision
- Metadata only. Verify the exact record version, component terms, participant privacy and wildlife-location sensitivity before retrieval or analysis.
- Limitations
- A cited deposit does not establish current file availability, license scope, recording consent for new uses, identity/location privacy, independent reproducibility or suitability for another species or task.
- Attribution
- Zenodo record cited by Jäckel et al. (2021), PLOS ONE 16(6): e0253763.
- Declared license
- Unverified at deposit level
- License scope
- Dataset only; article text, any code and participant or wildlife metadata have separate rights and privacy conditions.
- Stated conditions
- Review the versioned deposit, exact files, dataset terms and privacy/consent conditions before any acquisition, analysis, redistribution or training.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Cross-taxon field-method reference for model-specific microphone variability, detection limits and reference-device checks.
Review, rights and research limits
- Version or release
- Biodiversity and Conservation 33, 1623–1643 (2024)
- What we reviewed
- Full publisher article reviewed for methods, results, discussion, data availability and rights. No independent reproduction or bat-specialist review.
- Access described in the record
- Open-access Springer Nature article.
- Current research decision
- Use for bounded mobile-recorder design questions, including control-recording comparisons and explicit target-frequency limits. Do not generalize its results to all phones, bats or calls.
- Limitations
- The study focuses on selected low-frequency bat calls, a 13-model simultaneous comparison, a 35-model volunteer pilot, and sites in Northern Italy and Seville. It does not validate ultrasonic recording above the tested range, other taxa, current phone generations or Talk2Nature's browser path.
- Attribution
- Gili F, Bertolino S, Rolando A. Biodiversity and Conservation. 2024;33:1623–1643. https://doi.org/10.1007/s10531-024-02818-9
- Declared license
- CC BY 4.0, per the publisher's rights statement
- License scope
- Article text only. The Dryad recordings and supplementary material have separate rights, privacy and provenance conditions.
- Stated conditions
- Attribute the authors and source, link the license and indicate changes. Do not copy article text, figures, recordings or supplementary material into Talk2Nature without a separate rights review.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Potential reference for inspecting cross-device wildlife recordings after exact file, rights and privacy review.
Review, rights and research limits
- Version or release
- Dryad version published 2024-03-13; DOI 10.5061/dryad.2280gb5z4
- What we reviewed
- Reviewed the versioned Dryad landing page and embedded README structure. The page lists three files and describes 80 sampling sessions, device operating systems/models, dates, species folders, aliasing/undetected-call folders and site-code-to-municipality mappings. Dryad's general CC0 reuse and responsible-sharing guidance was also reviewed. The README's direct download returned HTTP 403; no audio archives or README bytes were downloaded or opened.
- Access described in the record
- The March 13, 2024 record lists Appendix_S6_recs.zip (17.46 MB), mobile_device_recs.zip (3.89 GB) and README.md (6.49 KB). Inline README text is visible on the landing page; its separate download returned HTTP 403. No dataset bytes were acquired.
- Current research decision
- Keep metadata-only. Dryad's published policy states its datasets are CC0 1.0, but the item page does not show a per-record license. Before any sample review or benchmark use, inspect the exact archive contents and labels, confirm location masking and any incidental human audio, preserve the Dryad citation, and define a scientific question. If justified, evaluate the 17.46 MB Appendix S6 examples before considering the 3.89 GB archive.
- Limitations
- The file inventory and embedded README are repository metadata, not audio review. Exact clip labels, archive integrity, field context, possible sensitive-species location exposure and incidental human sounds remain unverified. CC0 supports reuse under Dryad policy but does not itself establish dataset quality, biological meaning, consent scope or fitness for a Talk2Nature benchmark.
- Attribution
- Dryad record cited by Gili, Bertolino and Rolando (2024), Biodiversity and Conservation 33:1623–1643.
- Declared license
- CC0 1.0 under Dryad's published dataset policy; no item-specific license is displayed on the landing page
- License scope
- Dataset files hosted by Dryad under its stated CC0 policy. Article text, figures and any materials outside this Dryad dataset are separate components.
- Stated conditions
- Dryad states its datasets are CC0 and permits commercial and non-commercial reuse, modification and redistribution. Cite the dataset as scholarly practice. Before selecting files for research, review their contents and provenance, inspect sensitive-species location exposure and possible incidental human audio, and verify the current version record.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Primary methods reference for PteroSet's time-frequency annotation, bird-presence detection baseline and project-held-out evaluation.
Review, rights and research limits
- Version or release
- arXiv v2, posted 2026-05-21
- What we reviewed
- Full arXiv v2 HTML reviewed for data collection, annotation, record schema, technical validation, split design, baseline results, discussion and rights. Not independently reproduced or reviewed by a Talk2Nature specialist.
- Access described in the record
- Open preprint HTML. The paper license is CC BY 4.0; use the exact arXiv version for citation.
- Current research decision
- Use as a bounded bird-event detection methods reference. The task predicts annotated bird presence/species, not independently observed behavior, receiver response or communicative meaning.
- Limitations
- This is an arXiv preprint. Its binary target is bird presence in a five-second window derived from expert acoustic labels. It does not provide an observed-behavior or communication outcome, and its five project folds represent only two named landscapes.
- Attribution
- Ruiz D et al. A strongly annotated passive acoustic dataset for tropical bird monitoring. arXiv:2605.20578v2 (2026). https://doi.org/10.48550/arXiv.2605.20578
- Declared license
- CC BY 4.0, per the arXiv v2 license
- License scope
- The preprint text only. PteroSet data, repository code and model checkpoints have separate resource records and rights review.
- Stated conditions
- Attribute the authors, cite the exact version, link the license and indicate changes. Do not infer data or model-weight rights from the preprint license.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Candidate for a later reproducibility check of time-frequency bird detection; not a behavior or communication benchmark.
Review, rights and research limits
- Version or release
- Zenodo v5, published 2026-08-06; concept DOI 10.5281/zenodo.18554918
- What we reviewed
- Compared all 12 names, byte sizes and provider MD5 strings from the exact Zenodo v5 API manifest against this catalog; no dataset file bytes were hashed. Streamed a 4,096-byte HTTP 206 range of metadata_v2.csv transiently and inspected only its header line, which includes location_id, recorder_id, date_recorded, latitude and longitude; row values were not reviewed or saved. Reviewed the linked arXiv v2 methods. No dataset files were saved.
- Access described in the record
- The v5 record lists 12 files totaling 86.4 GB, including a 3.2 MB segment manifest, two annotation JSON files, metadata, label archives, five project archives and checkpoints. Exact provider-reported names, byte sizes and MD5 checksums are preserved in source_manifest. No full dataset file was saved; the limited metadata_v2.csv header-range review is described in review_depth.
- Current research decision
- Keep metadata-only. It is a strong detection-pipeline comparator, but its labels do not answer a context/meaning question. The manifest metadata match does not verify file bytes or joins. Before any reproduction, obtain independent bioacoustic review, resolve the latest-version downloader and precise-coordinate handling, then decide whether a narrowly bounded detection question merits any further file inspection. Do not treat project-held-out results as five independent geographic-site tests.
- Limitations
- The preprint describes five projects across two named landscapes: four PPA seasons at Puerto Asís and MAP1 at Pivijay. Thus only the MAP1 fold holds out a distinct named landscape; the other project folds share the Puerto Asís landscape across train/test. This is an audit inference from the reported project/site mapping. Files include recording coordinates and dates in the published schema. The time-lapse files concatenate 10-second samples from 30-minute intervals, so adjacent time offsets do not represent continuous behavior. Annotation eligibility favors clear, identifiable signals; an unannotated window should not automatically be interpreted as biological silence. No participant, receiver-response or independently observed behavior labels are supplied.
- Attribution
- Ruiz D et al. PteroSet [Data set]. Zenodo (2026), version v5. https://doi.org/10.5281/zenodo.21829388
- Declared license
- CC BY 4.0, per the exact Zenodo v5 record-level declaration
- License scope
- The 12 files in this versioned Zenodo dataset. The preprint, processing code and model checkpoints are separately cataloged; underlying pretrained-weight provenance has not been reviewed.
- Stated conditions
- Provide attribution and preserve the exact version DOI. Review file contents, precise coordinate exposure, sensitive-species implications, label provenance and scientific suitability before selecting any file for reuse. CC BY permission does not establish a benchmark target or model-weight lineage.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-13
Metadata only
Potential reproducibility reference for converting Raven annotations, segmenting time-lapse audio and building project-level splits.
Review, rights and research limits
- Version or release
- master commit b6aaf57ac32f93715e3570538f3580a78a80b741, 2026-09-17
- What we reviewed
- Static review of the pinned README, data_reader.py, prepare_dataset.py, segment_utils.py, segment_manifest.py and its implementation note, including release ID, metadata handling, segment geometry and project split. Targeted raw source files were fetched into a transient read-only filter; no source files were saved, installed or executed. The v5 API manifest matches the local catalog's 12 names, byte sizes and provider MD5 strings; a 4,096-byte HTTP 206 range of metadata_v2.csv confirmed schema fields only, and row values were not reviewed or saved.
- Access described in the record
- Public GitHub repository at an immutable commit; the repository declares MIT. The README says its work is under submission to Scientific Data.
- Current research decision
- Keep metadata-only. The annotation reader hardcodes Zenodo record 21829388 and the README lists the v5 metadata_v2.csv and segment_manifest.csv. Manifest metadata matches the catalog, but no file bytes were hashed and the header check does not verify joins. The downloader still resolves the latest version by default; its README example names metadata.csv, the annotation-reader initialization contains an interactive breakpoint, and the schema exposes precise coordinates. Obtain independent bioacoustic review and settle location handling before deciding whether to prepare a version-pinned detection-only workflow.
- Limitations
- The project split holds out projects, while train/validation groups by source sound_id; it does not establish held-out animals or independent landscapes. The annotation reader copies latitude and longitude into its annotation records and retains a breakpoint() in initialization. The README download example defaults to the latest Zenodo version, so reruns must explicitly pin v5. MIT applies to code only; no supply-chain, security, byte/header alignment, checkpoint-lineage or independent-review audit was performed.
- Attribution
- microsoft/PteroSet, reviewed commit b6aaf57ac32f93715e3570538f3580a78a80b741. https://github.com/microsoft/PteroSet
- Declared license
- MIT, per the public GitHub repository license metadata
- License scope
- Repository code only. Dataset files, checkpoint weights and third-party dependencies are separate components.
- Stated conditions
- Preserve the MIT copyright and license notice if code is reused. Review dependencies and exact data-version assumptions before any execution or adaptation.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Model · Catalog reviewed 2026-10-13
Metadata only
Possible baseline comparison artifact only after its model and weight lineage is independently reviewed.
Review, rights and research limits
- Version or release
- checkpoints.zip in Zenodo v5 record, 619302933 bytes
- What we reviewed
- Verified the checkpoint archive's presence, size and provider MD5 in Zenodo v5 metadata, and reviewed the paper's statement that a ResNet-18 was initialized from ImageNet-pretrained weights. Archive contents and model-card details were not inspected.
- Access described in the record
- Present inside the 86.4 GB dataset record as a 619.3 MB archive; no checkpoint bytes were downloaded.
- Current research decision
- Do not load or redistribute. The dataset record declares CC BY 4.0, but the archive's exact model lineage, underlying initialization terms, intended inference scope and checkpoint-specific rights have not been reviewed.
- Limitations
- No weights were acquired or executed. A declared dataset license does not establish that every upstream weight incorporated into a checkpoint can be transferred or used without additional terms.
- Attribution
- PteroSet v5 Zenodo record, checkpoints.zip; paper baseline described in arXiv:2605.20578v2.
- Declared license
- Unresolved for model reuse: the containing Zenodo record is CC BY 4.0, but checkpoint-specific and upstream initialization rights are unreviewed
- License scope
- Model/checkpoint archive only; dataset files, paper and code are separate assets.
- Stated conditions
- Review the checkpoint archive, model card, upstream ImageNet initialization and component-specific terms before download, execution, commercial use or redistribution.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Methods comparator for dog-held-out context classification and transfer from human-speech representations; not evidence of call meaning or cross-species transfer.
Review, rights and research limits
- Version or release
- LREC-COLING 2024, pages 16480–16486
- What we reviewed
- The complete seven-page publisher-hosted paper was reviewed, including stimulus collection, segmentation and annotation, grouped cross-validation, all task results and limitations. No model run, independent reproduction or external review.
- Access described in the record
- Full paper is linked by the ACL Anthology; no full text, figure or supplement was copied into the repository.
- Current research decision
- Keep as a cited methods reference. The selected four-class task predicts labels associated with induced study situations. Do not call it animal translation or transfer its result to parrots. No exact Wav2Vec2 checkpoint identifier or reusable training package was established in this review.
- Limitations
- The article PDF footer says CC BY-NC 4.0, while the ACL Anthology's site-level notice says materials from 2016 onward are CC BY 4.0. These declarations conflict at the item level; do not reuse article text or figures until resolved. The data and baseline-code availability statements are separate components and provide no license for either.
- Attribution
- Abzaliev, A., Pérez-Espinosa, H. and Mihalcea, R. (2024). LREC-COLING 2024, 16480–16486. https://aclanthology.org/2024.lrec-main.1432/
- Declared license
- Conflicting notices: the paper PDF states CC BY-NC 4.0; the ACL Anthology page-level notice states CC BY 4.0 for materials published since 2016
- License scope
- Article only. Dataset, baseline implementations, pretrained model and underlying LibriSpeech material retain separate rights.
- Stated conditions
- Link and cite the paper; publish only an original summary. Resolve the article-specific license before reusing text, figures or other content.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Historical methods reference for induced canine vocalizations and stimulus-associated labels; not admitted to Talk2Nature training.
Review, rights and research limits
- Version or release
- Paper-described dataset; no public versioned deposit identified
- What we reviewed
- The full paper and its final availability statement were reviewed. The paper says the dataset is available by request; no files, schema, manifest or access terms were inspected, and no request was made.
- Access described in the record
- Described as available by request from the corresponding author; the paper does not link a public data deposit or versioned manifest, and external repository searches were not part of this review.
- Current research decision
- Metadata only. Before any future access request or use, establish the exact question, dataset version, consent/privacy scope, recording and session/household keys, label provenance, access conditions and reuse rights. No author contact or acquisition has occurred.
- Limitations
- The paper describes 74 dogs, 16,789 sound segments and 14 labels, with collection at owners' homes in two Mexican cities under induced stimuli. Context labels were assigned from information associated with the stimulus. This is not a naturally sampled phone dataset or independently verified behavior ground truth. No raw data were inspected.
- Attribution
- Abzaliev, A., Pérez-Espinosa, H. and Mihalcea, R. (2024), dataset described in LREC-COLING paper 2024.lrec-main.1432.
- Declared license
- Not stated or verified; by-request availability is not a reuse license
- License scope
- Dog-vocalization dataset only. Article, baseline code and pretrained model terms are separate.
- Stated conditions
- No access request, download, training or redistribution until exact terms and privacy/consent scope are reviewed and explicitly approved.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-13
Metadata only
Potential reproducibility reference only if a specific code release and dependencies are lawfully obtained and reviewed.
Review, rights and research limits
- Version or release
- Unversioned; the paper says baselines are available by request
- What we reviewed
- The full paper's availability statement and model methods were reviewed. The paper does not link a public code repository; external repository searches were not part of this review. No request was made and no code was run.
- Access described in the record
- The paper says its baselines are available by request alongside the dataset; it does not provide a public repository link.
- Current research decision
- Metadata only. Do not present the Wav2Vec2 library implementation or pretrained speech model as the paper's complete baseline. If authorized access is later pursued, verify exact code revision, checkpoint ID, dependencies, data split and component licenses before execution.
- Limitations
- The paper does not establish in this review the exact code release, checkpoint, training configuration or dependency versions needed for reproduction. No code was acquired or executed.
- Attribution
- Abzaliev, A., Pérez-Espinosa, H. and Mihalcea, R. (2024), baseline implementations described in LREC-COLING paper 2024.lrec-main.1432.
- Declared license
- Not stated or verified; by-request availability is not a code license
- License scope
- Baseline code only. Article, dataset, pretrained Wav2Vec2 model and LibriSpeech terms are separate.
- Stated conditions
- No code request, download, execution or redistribution until exact source revision and its license/dependencies are reviewed and explicitly approved.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Primary methods reference for multi-channel measurement and analysis of slow electrical activity in oyster-fungus-colonised substrate.
Review, rights and research limits
- Version or release
- Scientific Reports 16, article 16332 (2026); version of record dated 2026-05-27
- What we reviewed
- Full text, methods, discussion, limitations and data-availability statement reviewed. No analysis was reproduced and no figures or article text were copied.
- Access described in the record
- Open-access version of record; the University of the West of England repository identifies the article files under CC BY 4.0.
- Current research decision
- Metadata-only. Publish a short original summary and link. Do not describe this physiological propagation result as a decoded message or demonstrated exchange.
- Limitations
- The eight channels were recorded from one specimen for about fifteen days without external stimulation. Spatial channels are not biological replicates; no receiver response or semantic target was tested. The shuffled-spike control does not substitute for independent specimens or a sham/uncolonised-substrate comparison.
- Attribution
- Adamatzky, A. (2026), Propagation of electrical spike trains in substrates colonised by oyster fungi. Scientific Reports 16, 16332. DOI 10.1038/s41598-026-47035-2.
- Declared license
- CC-BY-4.0 as stated by the University of the West of England repository record
- License scope
- Published article only. The cited Zenodo dataset has a separate rights record.
- Stated conditions
- Attribute the author and source and follow the CC BY 4.0 terms. Do not copy publisher figures or substantial text into this site.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Potential source data for reviewing the paper's electrophysiology analysis; not an animal-behavior dataset or communication benchmark.
Review, rights and research limits
- Version or release
- Zenodo v1, created 2021-01-10; modified 2021-01-11
- What we reviewed
- Reviewed the official record metadata: one 413.2 MB ZIP with provider MD5 ae00e6ace4114f8ca33572b4930c41b4. The 2026 article cites this DOI, but the record does not map the paper's 15-day, eight-channel series to an archive member. No archive or data values were downloaded or inspected.
- Access described in the record
- Public Zenodo landing page and archive link. No license is displayed in the record's Rights section.
- Current research decision
- Metadata-only. Do not acquire, train on, redistribute or use commercially until the exact file mapping, provenance and applicable reuse terms are established.
- Limitations
- The record was published in 2021, names both P. ostreatus and P. djamor, and provides a single large ZIP. Its public metadata does not independently identify the subset used for the 2026 paper. The dataset is specialized electrical sensor data, not phone audio or a translation key.
- Attribution
- FUNGAR (2021), Datasets of recordings of electrical activity of substrates colonised by oyster fungi P. ostreatus and P. djamor [Data set]. Zenodo. DOI 10.5281/zenodo.4430968.
- Declared license
- No license displayed in the Zenodo v1 record's Rights section when reviewed on 2026-10-13
- License scope
- External dataset record and its ZIP archive only. The linked article has a separate CC BY 4.0 record.
- Stated conditions
- Do not download, redistribute, train on or use commercially until the rights holder or deposit terms establish permission.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Understand established bioacoustic observation, annotation and classification workflows before adding advanced research features to Talk2Nature.
Review, rights and research limits
- Version or release
- Methods in Ecology and Evolution 14:2321-2328 (2023); describes OpenSoundscape v0.9.1
- What we reviewed
- Reviewed the publisher article abstract, software overview, annotation/localization functionality, examples and stated scope. The article page labels it Open Access but did not show an exact reuse license in the reviewed view. No article text, figures or supplementary files were copied.
- Access described in the record
- Publisher full-text page and DOI. Original summary and citation only; no full text stored.
- Current research decision
- Use as a methods reference for researcher workflows. It supports acoustic detection/classification/localization, not animal-language translation. Do not integrate code based on the paper alone.
- Limitations
- The paper describes version 0.9.1; the current repository release is recorded separately. Open Access status does not by itself identify a specific reuse license. No independent reproduction, package test or specialist review occurred.
- Attribution
- Lapp, S., Rhinehart, T., Freeland-Haynes, L., Khilnani, J., Syunkova, A., and Kitzes, J. (2023). OpenSoundscape: An open-source bioacoustics analysis package for Python. Methods in Ecology and Evolution, 14, 2321-2328. DOI 10.1111/2041-210X.14196.
- Declared license
- Publisher page labels the paper Open Access; the exact reuse license was not visible in the reviewed record
- License scope
- Article only. Software, dependencies, checkpoints, data, tutorial media and outputs are separate assets.
- Stated conditions
- No article text or figures are reproduced. Confirm the exact publisher license before reusing article content.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-13
Metadata only
Possible reference implementation for researcher-side acoustic annotation and detection workflows; no current integration task selected.
Review, rights and research limits
- Version or release
- v0.13.2; official release dated 2026-06-30; verified release commit begins 8b58215
- What we reviewed
- Reviewed the official release page and LICENSE at the v0.13.2 tag and the tagged README. The release page identifies the latest release and verified commit; no source or package bytes were downloaded, installed, or executed.
- Access described in the record
- Public, version-tagged GitHub repository. The official v0.13.2 LICENSE declares MIT.
- Current research decision
- Keep as a separate optional research-software reference. Before any import, review the exact dependency tree and any selected model or checkpoint license; do not put this Python package into the public mobile app by default.
- Limitations
- MIT covers the tagged repository code, not its dependencies, Bioacoustics Model Zoo, pretrained checkpoints, training data, tutorial audio, or model outputs. The 2023 paper describes an older version; current documentation and APIs must be checked at the pinned tag.
- Attribution
- Kitzes Lab, University of Pittsburgh. OpenSoundscape v0.13.2, released 2026-06-30, repository tag v0.13.2.
- Declared license
- MIT (LICENSE at the official v0.13.2 tag)
- License scope
- OpenSoundscape repository code at v0.13.2 only; other assets and dependencies have separate terms.
- Stated conditions
- Retain the MIT copyright and permission notices when redistributing covered code. Review every dependency and model/data asset independently before use.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Potential strong-label detection/classification comparator for bird soundscape methods; not a communication or receiver-response benchmark.
Review, rights and research limits
- Version or release
- Dryad record published 2021-04-01, updated 2021-04-06; four listed files total 1.18 GB
- What we reviewed
- Reviewed the official Dryad landing-page metadata and file inventory, the OpenSoundscape annotation tutorial's dataset reference, and Dryad's current repository-wide CC0 policy. The landing page reports 385 minutes across four days, 48 species and 16,052 annotations. No files, annotation rows, README contents or split scripts were downloaded or inspected.
- Access described in the record
- Public Dryad metadata and versioned file inventory; 1.18 GB listed for the April 6, 2021 version. No dataset bytes were acquired.
- Current research decision
- Metadata-only. Consider only after a bounded detection question and qualified review; confirm the exact archived version and item-level terms before any acquisition or training.
- Limitations
- The current landing page's abstract calls it free-use and Dryad's current policy states its datasets are CC0, but the item page view did not expose an explicit license field for this exact version. The short study period and single named reserve limit broad generalization. Species/time/frequency labels do not establish communicative meaning, behavioral context or receiver understanding. No file membership, row-level provenance, group splits or baseline was inspected.
- Attribution
- Chronister, L. M., Rhinehart, T. A., Place, A., and Kitzes, J. (2021). An annotated set of audio recordings of Eastern North American birds containing frequency, time, and species information [Dataset]. Dryad. DOI 10.5061/dryad.d2547d81z.
- Declared license
- Dryad's current repository policy states CC0; exact item-level license metadata for the reviewed archived version was not visible
- License scope
- The versioned Dryad dataset only. The associated paper, OpenSoundscape code, tutorial recordings, dependencies and any model weights are separate.
- Stated conditions
- Reconfirm the specific version's license and file provenance before downloading, redistributing, training or using commercially. Keep all files out of Git and the public website.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-13
Metadata only
Methods comparator for continuous bioacoustic event labeling, individual-held-out evaluation and pretraining-data boundaries.
Review, rights and research limits
- Version or release
- bioRxiv version 2, posted June 19, 2026; DOI 10.64898/2026.06.14.732108
- What we reviewed
- Read the abstract and targeted data-collection, annotation, split, benchmark and data/code-availability sections. The paper is a bioRxiv preprint, not peer-reviewed. No article text or figure was copied into Talk2Nature, and no cited data, code or model was acquired or run.
- Access described in the record
- Public bioRxiv preprint; the exact v2 record identifies a CC BY 4.0 license. Its dataset and the animal2vec code and weights have separate rights.
- Current research decision
- Use only as a linked methods reference. Do not describe its event labels or classifier as evidence of animal meaning, and do not treat the reported baseline as independent reproduction by Talk2Nature.
- Limitations
- The baseline pretrains on all available audio before fine-tuning on a split. This appears to expose the representation learner to held-out audio; treat the result as transductive unless clarified. This is a Talk2Nature methods interpretation. No independent specialist reviewed the preprint.
- Attribution
- Woerner, J. M., Angonin, C., Gersick, A. S., Holekamp, K. E., Jensen, F. H., Johnson, M. P., Onsare, M. H. M., Pioon, M. O., Schäfer-Zimmermann, J. C., Strandburg-Peshkin, A., and Strauss, E. D. (2026). HyenaSET: Hyena Sound Event Transcripts and benchmark animal2vec performance for parsing animal communication [Preprint v2]. bioRxiv. DOI 10.64898/2026.06.14.732108.
- Declared license
- CC BY 4.0 (bioRxiv version 2 record)
- License scope
- Preprint text only. Dataset, animal2vec code, checkpoints, dependencies and outputs are separate assets.
- Stated conditions
- Attribute the preprint and identify modifications if reusing the article itself. This record copies no article text or figures; verify the exact version and terms before reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-13
Metadata only
Metadata-only method reference for event labeling, animal-held-out splits and benchmark data-containment decisions.
Review, rights and research limits
- Version or release
- Edmond v1, released 2026-06-22; one 107,184,528,475-byte TAR.GZ; provider MD5 6b7523b755e1a284adc2be1b575c3930 (not locally verified)
- What we reviewed
- Reviewed the official Edmond v1 API and DataCite DOI metadata for release status, file count, exact byte size, provider checksum and dataset-specific terms. The 107 GB archive, label files and split files were not downloaded or inspected; the checksum was not verified locally. No dataset rows, individual timestamps or precise coordinates were reviewed.
- Access described in the record
- Public DOI and Edmond metadata; the single archive is about 107 GB. The record's exact terms are Attribution-NonCommercial-ShareAlike 4.0 International.
- Current research decision
- Metadata-only methods comparator. Not admitted to the shared commercial-capable dataset or model path. Do not acquire unless a distinct non-commercial research question, data/privacy review, expert review and adequate isolated storage are approved.
- Limitations
- The reported categories are sound events and source attribution, not independent behavior or receiver-response labels. The dataset description lists a mapping from randomized audio names to identities and times for four individuals; location sensitivity has not been resolved. Five sample-stratified splits and a four-individual held-out split are described, but their files were not inspected. The paper's baseline pretrains on all available audio, so its evaluation may be transductive.
- Attribution
- Woerner et al. (2026), HyenaSET v1 [Dataset]. Edmond. DOI 10.17617/3.8ZSP3J.
- Declared license
- CC BY-NC-SA 4.0 (dataset-specific terms in the official Edmond API)
- License scope
- Edmond dataset v1 archive only. The preprint, animal2vec code, model weights, dependencies and outputs have separate rights.
- Stated conditions
- Non-commercial use only; share-alike terms apply to adapted material. This is not cleared for the shared commercial-capable project path. Confirm rights, privacy and wildlife-location handling before any separate research use.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Project · Catalog reviewed 2026-10-14
Metadata only
Potential comparison for multimodal, owner-contributed canine observations and project-level open-data plans; not a released dataset or validated communication model.
Review, rights and research limits
- Version or release
- Project landing page accessed 2026-10-14; no versioned data release linked
- What we reviewed
- Read the official project page and its visible project and team descriptions. It invites short dog videos with audio, context and contributor interpretations, and states that submissions are intended to support a future open research dataset. No dataset DOI, version, schema, code repository or data license is linked from the page as reviewed. The linked submission form was not opened or used.
- Access described in the record
- The page offers a linked Google Form intake and describes a planned shared open dataset; no public, versioned dataset release was located in the reviewed page or its visible links.
- Current research decision
- Catalog as a project lead only. Do not describe it as released open data, a validated outcome or evidence of call meaning. No video, personal information or form submission was sent.
- Limitations
- The page describes intended study of dog facial expression, posture, vocalization, context and human interpretation, and asks contributors for breed, age, sex, personality, context and their interpretation. It advises against identifiable human faces, private conversations and personal information. The page reviewed does not document consent and ethics terms, retention or withdrawal, dataset licensing, access controls or an annotation protocol; the form was not opened. Contributor interpretations are hypotheses, not independent behavior labels or evidence of animal meaning.
- Attribution
- CrowdBark team. CrowdBark: A Crowdsourced Study of Dog Communication Using AI. University of Michigan project page, accessed 2026-10-14.
- Declared license
- No license located for a dataset release; the page describes an intended future open dataset
- License scope
- Project-page description and future dataset intent only; no license for contributor videos or code is established.
- Stated conditions
- Do not submit Talk2Nature or user recordings, reuse future data, or call the data open-licensed until a versioned release and its consent, license, privacy, retention, withdrawal and access terms are reviewed.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-14
Metadata only
Primary method and hypothesis reference for extracellular voltage-spike analysis in four fungal species; not a decoded-language result.
Review, rights and research limits
- Version or release
- Royal Society Open Science 9(4):211926 (2022); DOI 10.1098/rsos.211926
- What we reviewed
- Full arXiv HTML preprint reviewed for methods, spike detection, grouping, results and discussion; publication metadata and institutional article-license record checked. No data, source code or model weights were downloaded or reproduced.
- Access described in the record
- Publisher article and preprint are linked. The article text is CC BY 4.0; the linked raw recordings are a separate Zenodo resource with no license shown in its record.
- Current research decision
- Use as a hypothesis and methods reference only. Do not infer message meaning from distributional similarity or treat the paper's word analogy as a translation model.
- Limitations
- Spike clusters are grouped by analyst-defined thresholds based on average inter-spike intervals, then compared with human word-length distributions. This does not establish a receiver, referent, semantic code or functional communication. A separate methods review reports ambient disturbance artifacts in fungal and control channels.
- Attribution
- Adamatzky, A. (2022). Royal Society Open Science 9(4):211926. https://doi.org/10.1098/rsos.211926.
- Declared license
- CC BY 4.0, article-level license stated in the official UWE Bristol repository record
- License scope
- Published article text only. Raw voltage recordings, supplementary files and code have separate rights and are not cleared by this article license.
- Stated conditions
- Attribute the authors and source, link the license and indicate changes if reusing article material. This project publishes an original summary and citation only; no figures or article text are copied.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-14
Metadata only
Potential raw-signal resource for a rights-cleared, expert-reviewed replication of fungal electrical measurement and signal-processing methods.
Review, rights and research limits
- Version or release
- Zenodo v1, created 2021-12-18; four ZIP files, 84.6 MB total
- What we reviewed
- Official Zenodo v1 record inspected for description, file names, provider MD5 values and Rights section. No file was downloaded, locally hashed, extracted or analyzed; no training admission.
- Access described in the record
- Public metadata lists recordings for four species in four ZIP archives totaling 84.6 MB. The record displays no license in its Rights section.
- Current research decision
- Metadata-only; do not acquire, process, redistribute or train on these recordings until dataset-specific terms and intended reuse are confirmed. The current collector does not support Zenodo acquisition.
- Limitations
- The record describes raw extracellular voltage recordings, not independently verified biological events, stimulus labels or semantic ground truth. Provider MD5 values are not local integrity checks. Archive contents, replicate structure and exact channel mapping were not inspected.
- Attribution
- Adamatzky, A. (2021). Recordings of electrical activity of four species of fungi [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.5790768.
- Declared license
- No license displayed in the Zenodo Rights section reviewed on 2026-10-14
- License scope
- The four dataset archives only. The related paper and any analysis code have separate rights.
- Stated conditions
- Resolve dataset-specific reuse terms and inspect exact files, provenance and provider checksums before any acquisition, analysis, redistribution or training. No files are currently acquired.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-14
Metadata only
Methodological and linguistic critique of interpreting fungal extracellular voltage patterns as a language.
Review, rights and research limits
- Version or release
- Fungal Ecology 68:101326 (2024), DOI 10.1016/j.funeco.2023.101326
- What we reviewed
- Publisher page abstract and visible introduction/section snippets reviewed. Full text was not accessible in this review; no independent experiment or reproduction was performed.
- Access described in the record
- Publisher article page and abstract are linked; full text access was unavailable during review.
- Current research decision
- Use as a critical argument to test, not as an experimental refutation of all fungal electrical physiology.
- Limitations
- The authors argue that non-biological artifacts may explain measured voltage patterns and that the language claim is unsupported. This source is a methodological commentary; the full text was not reviewed here.
- Attribution
- Blatt, M.R. et al. (2024). Fungal Ecology 68:101326. https://doi.org/10.1016/j.funeco.2023.101326.
- Declared license
- Not established from the publisher metadata reviewed; reuse terms unresolved
- License scope
- Article only. The catalog contains an original summary and citation, not copied text or figures.
- Stated conditions
- Link to and cite the article; do not copy article text or figures unless its specific reuse terms are verified.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-14
Metadata only
Methods and evidence review for fungal electrophysiology, extracellular measurement artifacts and study-design controls.
Review, rights and research limits
- Version or release
- FEMS Microbiology Reviews 49 (2025), fuaf009; DOI 10.1093/femsre/fuaf009
- What we reviewed
- Full Oxford Academic review inspected for evidence summary, measurement approaches, extracellular mushroom recordings, the authors' Pleurotus pulmonarius method-replication observations, future directions and license statement. Supplementary file not acquired.
- Access described in the record
- Full review is linked at Oxford Academic. Its publisher notice declares CC BY-NC-ND 4.0; the project publishes an original summary and link only.
- Current research decision
- Use as a methods-design reference. Its ambient disturbance observations motivate shielding and control channels; they do not prove that all fungal electrical signals are artifacts.
- Limitations
- The review reports the authors' own experimental caveats alongside literature synthesis. It is not a multisite independent replication, a fungal-language test, or a semantic decoding study.
- Attribution
- Schintke, S. et al. (2025). FEMS Microbiology Reviews 49:fuaf009. https://doi.org/10.1093/femsre/fuaf009.
- Declared license
- CC BY-NC-ND 4.0, per the Oxford Academic publisher notice
- License scope
- Review article only. No dataset or code is linked by this catalog item.
- Stated conditions
- Non-commercial, no-derivatives license; cite the authors and link the license if permitted use applies. This project links the review and publishes an original summary, not adapted article text or figures.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-14
Metadata only
Mobile bioacoustics implementation and training-evaluation methods comparator for four cattle vocalization classes.
Review, rights and research limits
- Version or release
- 44fdc5e5cf3f080457211bb87eb8cb2fc6b099ac
- What we reviewed
- Pinned README and LICENSE reviewed; the training script was inspected statically for its split, validation callbacks and final evaluation. No code was acquired or executed; no Android build or runtime test was performed.
- Access described in the record
- Public pinned GitHub repository. The README describes a Flutter Android app and references included TFLite model files; only repository metadata and the specified text files were reviewed.
- Current research decision
- Keep as a metadata-only design and methods reference. Do not import code or imply the reported score is an untouched evaluation.
- Limitations
- The README training command targets model/cow_rumia_train_v2.py, which returned 404 at the pinned commit. No dependency, complete app, model, training-data or device audit was performed.
- Attribution
- Daniel Alejandro Tena Salas, CowRumIA repository, pinned commit 44fdc5e5cf3f080457211bb87eb8cb2fc6b099ac.
- Declared license
- MIT (pinned repository LICENSE)
- License scope
- Repository software source and associated documentation only. The dataset and bundled model files are separate components with unresolved terms.
- Stated conditions
- Retain the MIT copyright and permission notices if code is reused. No code is copied into Talk2Nature; review dependency and bundled-artifact terms separately.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Model · Catalog reviewed 2026-10-14
Metadata only
Mobile inference model files listed by the CowRumIA README; no Talk2Nature use approved.
Review, rights and research limits
- Version or release
- 44fdc5e5cf3f080457211bb87eb8cb2fc6b099ac
- What we reviewed
- The pinned README lists yamnet_embeddings.tflite and cowrumia_dense.tflite. Their bytes, hashes, provenance, licenses and runtime were not inspected.
- Access described in the record
- Model filenames are described by the pinned repository README. No model files were downloaded.
- Current research decision
- Metadata-only; exclude from Talk2Nature training, app bundling and public model claims until exact artifacts and all upstream rights are reviewed.
- Limitations
- Repository code licensing does not by itself establish the separate provenance, license or permitted redistribution of model weights; the README says YAMNet is used but no full dependency/weight audit was performed.
- Attribution
- CowRumIA model assets as described by Daniel Alejandro Tena Salas; underlying YAMNet and classifier-weight provenance requires separate verification.
- Declared license
- Model-weight license and provenance not separately established by the reviewed sources
- License scope
- The TFLite model artifacts listed in the CowRumIA README, including the YAMNet-related and custom cattle-classifier files.
- Stated conditions
- Verify exact artifact versions, hashes, source-model terms and redistribution permissions before download, execution, training or bundling.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-14
Metadata only
Four-class cattle vocalization dataset described as stress/calm by beef/dairy category; candidate for metadata-level study-design review only.
Review, rights and research limits
- Version or release
- Zenodo record 20406266, version 1.0.0; published 2026-05-27
- What we reviewed
- Reviewed the official Zenodo v1 record metadata for collection description, named sites and external sources, file size/checksum listing, publication date and Rights section. No data file was acquired, downloaded, hashed or inspected.
- Access described in the record
- Public Zenodo landing page and a listed 152.0 MB archive. No explicit dataset reuse license appears in the reviewed Rights section.
- Current research decision
- Metadata-only and not admitted to research training or redistribution. Resolve dataset and upstream source terms and inspect annotation/group metadata before considering any use.
- Limitations
- The public record provides no explicit reuse license; its copyright notice is not a permission grant. The mixed-source audio has unresolved file-level provenance. Provider MD5 was not locally checked. Annotation protocol, independent welfare reference, per-recording site mapping and animal/session groups were not reviewed.
- Attribution
- Daniel Alejandro Tena Salas (2026), CowRumIA Bovine Vocalization Dataset, Zenodo v1.0.0, DOI 10.5281/zenodo.20406266.
- Declared license
- No explicit license displayed in the reviewed Zenodo Rights section; copyright notice only
- License scope
- The Zenodo v1.0.0 dataset archive. Code, model weights, article/thesis and external source recordings have separate rights.
- Stated conditions
- Do not download, analyze, train on or redistribute the archive until Zenodo terms and all contributing source-recording rights are clarified.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-14
Metadata only
Bounded methods comparator for how playback/social acoustic context can alter trained parrot vocal output; not a decoding or consumer-app benchmark.
Review, rights and research limits
- Version or release
- Behavioural Processes 122 (2016), 87–89; published online 2015-11-17; DOI 10.1016/j.beproc.2015.11.002; PMC author manuscript PMCID PMC4696898.
- What we reviewed
- PubMed citation/abstract and selected PMC author-manuscript methods and results/discussion sections reviewed. No supplement, raw data or code inspection; no reanalysis, replication or independent review.
- Access described in the record
- PMC links an author manuscript for reading and lists a supplemental PDF. The supplement was not inspected or downloaded. No public raw-data or code deposit was identified in the reviewed article record.
- Current research decision
- Metadata-only. Use an original summary and source link; do not redistribute the manuscript, supplement, figures, data or audio. Keep animal playback disabled in the public app.
- Limitations
- Five individually housed, trained birds; fixed condition sequence; only three produced non-primary calls. The experiment measures conditioned output under controlled stimuli, not natural household behavior, receiver understanding, welfare benefit or call meaning. Article, data, code and media rights are separate; article reuse terms and data/code rights were not verified.
- Attribution
- Seki Y, Dooling RJ (2016). Effect of auditory stimuli on conditioned vocal behavior of budgerigars. Behavioural Processes, 122, 87–89. Published online 2015-11-17. DOI 10.1016/j.beproc.2015.11.002.
- Declared license
- Article reuse license not verified in this review.
- License scope
- Published article only; no separate study-data, code or media license was established.
- Stated conditions
- Cite and link; publish an original summary only. Do not redistribute the article, supplement, figures, study data or recordings without checking their applicable terms.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Not admitted for this project.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-14
Metadata only
Computer-vision reference for detecting and measuring a known, structured animal signal against a feeder-location outcome.
Review, rights and research limits
- Version or release
- PLOS ONE 12(12): e0188626 (2017); DOI 10.1371/journal.pone.0188626
- What we reviewed
- Targeted article sections reviewed: setup, signal features, software modules, validation/results, discussion and license. No supplementary files or study artifacts were acquired or reproduced.
- Access described in the record
- Open-access article. The paper links its separate code and data repository; those assets have distinct rights.
- Current research decision
- Use an original summary and link. Article CC BY 4.0 does not license the linked code/data by implication.
- Limitations
- One 2,000-bee colony and specialized observation-hive setup; 90.07% is validation accuracy, not an external transfer estimate. Distance mapping needs empirical calibration. The study decodes waggle runs, not arbitrary gestures or language.
- Attribution
- Wario F, Wild B, Rojas R, Landgraf T (2017). Automatic detection and decoding of honey bee waggle dances. PLOS ONE 12(12): e0188626. DOI 10.1371/journal.pone.0188626.
- Declared license
- CC-BY-4.0
- License scope
- Published article only; code, data, compiled module, video and any model artifacts are separate components.
- Stated conditions
- Credit the authors and source, link the license and indicate changes if reusing article material. Talk2Nature publishes an original summary and link only.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-14
Metadata only
Historical implementation reference for camera-based waggle-run detection, orientation estimation and mapping.
Review, rights and research limits
- Version or release
- 3aaa5099aac698bd08df1d55f4cd5183d32f7e7d
- What we reviewed
- Official repository README, API metadata, pinned commit and complete recursive tree reviewed. No source file or binary was downloaded, executed or audited.
- Access described in the record
- Public GitHub repository at a pinned commit; GitHub reports no recognized license, and the inspected tree contains no LICENSE/COPYING file.
- Current research decision
- Metadata-only. Do not acquire, execute, modify, bundle or redistribute until the authors' code terms and compiled-component provenance are resolved.
- Limitations
- The paper describes multiple modules and the README mentions a compiled attention module. Repository visibility is not permission; dependencies and artifact-level provenance were not audited.
- Attribution
- BioroboticsLab, WDD_paper, default branch master at commit 3aaa5099aac698bd08df1d55f4cd5183d32f7e7d.
- Declared license
- No recognized license in the repository API; no LICENSE/COPYING file in the inspected tree
- License scope
- Code repository, compiled module and dependencies; the linked article has a separate CC BY 4.0 license.
- Stated conditions
- Obtain explicit reuse terms and review dependency/binary provenance before any acquisition, execution, adaptation or redistribution.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-14
Metadata only
Potential reference sample for inspecting detector duration/orientation labels after resolving data rights and provenance.
Review, rights and research limits
- Version or release
- 3aaa5099aac698bd08df1d55f4cd5183d32f7e7d
- What we reviewed
- The paper states that experiment data are publicly available at the repository; its README describes GTRuns.tar with 200 extracted waggle runs and GTAverage.csv with angles averaged across eight manual traces. No files were acquired, hashed or inspected.
- Access described in the record
- The author-linked GitHub repository describes the sample; exact file inventory, checksums, annotator protocol and per-file terms were not independently verified.
- Current research decision
- Metadata-only; not admitted as a Talk2Nature benchmark, training input or validated ground-truth set.
- Limitations
- Averages of eight tracers do not by themselves establish inter-rater reliability or an independent biological criterion. The repository has no located reuse license, and the sample is tied to a narrow hive/camera setup.
- Attribution
- BioroboticsLab, WDD_paper GroundTruthData directory at commit 3aaa5099aac698bd08df1d55f4cd5183d32f7e7d; related article by Wario et al. (2017), DOI 10.1371/journal.pone.0188626.
- Declared license
- No dataset license located in the pinned repository snapshot
- License scope
- Ground-truth image snippets and labels; code and article rights are separate.
- Stated conditions
- Resolve dataset reuse terms, image provenance and annotation conditions before download, inspection, training or redistribution.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-14
Metadata only
Engineering comparator for long-duration colony tracking and realistic camera/compute requirements.
Review, rights and research limits
- Version or release
- Frontiers in Ecology and Evolution 3:103 (2015); DOI 10.3389/fevo.2015.00103
- What we reviewed
- Selected full-text sections reviewed: system motivation, hive/camera design, validation sampling, runtime results and article license. No code, data or supporting files were acquired or run.
- Access described in the record
- Open-access Frontiers article; original article linked and summarized, not reproduced.
- Current research decision
- Methods and infrastructure context only; this is a distinct long-term tracking/tag system, not the 2017 waggle-run detector or a phone app.
- Limitations
- The reported 500-times-real-time single-processor analysis and 1,000-processor supercomputer run concern the article's own long-term tracking data and pipeline, not the runtime of the 2017 detector.
- Attribution
- Wario F, Wild B, Couvillon MJ, Rojas R, Landgraf T (2015). Frontiers in Ecology and Evolution 3:103. DOI 10.3389/fevo.2015.00103.
- Declared license
- CC-BY (version not stated on the article page reviewed)
- License scope
- Published article only; associated implementation and data were not reviewed or acquired.
- Stated conditions
- Credit the authors and source, link the license and indicate changes if reusing article material. Talk2Nature publishes an original summary and link only.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Project · Catalog reviewed 2026-10-14
Metadata only
Methods comparator for dog-vocalization demographics, identity, activity/environment, emotion, detection and source separation; not evidence of call meaning.
Review, rights and research limits
- Version or release
- IJCAI 2025 challenge; official repository pinned at ef8da9155e101cb76d4ee260bebb4d4fde4c2a1d
- What we reviewed
- Reviewed the official challenge README and repository tree at the pinned commit. The README documents eight tasks, YouTube/Reddit source platforms and a 2025 competition timeline. The inspected root tree lists the competition site, static assets and documentation; no model training/evaluation implementation was visible there. No challenge result paper, baseline implementation or other task-specific dataset card was reviewed.
- Access described in the record
- Public challenge README and Hugging Face task links; the 2025 registration and submission schedule has passed.
- Current research decision
- Keep as a methods/project record. Do not treat this closed competition or its task names as evidence that vocal categories have independently validated biological meaning. The selected Activity and Environment release is a separate metadata-only dataset record.
- Limitations
- The competition README says the audio corpus was sourced from YouTube and Reddit. This review did not establish per-recording permission, participant consent/privacy terms, label provenance across all tasks, held-out identity/session/site grouping, code availability or the final challenge leaderboard/results. Only the Activity and Environment task card was examined.
- Attribution
- Arlington Computational Linguistic Lab (UTA-ACL2). Barkopedia: A Canine Vocalization Understanding Challenge. IJCAI 2025 project; repository commit ef8da9155e101cb76d4ee260bebb4d4fde4c2a1d.
- Declared license
- MIT declared in the pinned GitHub repository LICENSE
- License scope
- Repository software and documentation only. The license does not establish the rights or consent basis of the linked third-party video/audio datasets.
- Stated conditions
- Cite the official project; review each dataset, model, submission and media component under its own terms before reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-14
Metadata only
Open-source project-structure comparator for a challenge landing page only; no dog-audio training or evaluation code was identified in the reviewed repository tree.
Review, rights and research limits
- Version or release
- Commit ef8da9155e101cb76d4ee260bebb4d4fde4c2a1d
- What we reviewed
- Inspected the pinned root tree, README and LICENSE. The root contains the challenge webpage, static assets and documentation; no model-training or evaluation implementation was listed. No file was cloned, downloaded or executed.
- Access described in the record
- Public GitHub repository at a fixed commit.
- Current research decision
- The MIT license is useful for the repository software/documentation component only. Do not present this site repository as a released Barkopedia baseline or as a license for datasets and linked media.
- Limitations
- Static image assets and their individual provenance were not inspected. The linked Hugging Face Spaces and their underlying source/model code are separate components and were not reviewed as executable code.
- Attribution
- Arlington Computational Linguistic Lab (UTA-ACL2), Barkopedia repository, commit ef8da9155e101cb76d4ee260bebb4d4fde4c2a1d.
- Declared license
- MIT declared in the pinned repository LICENSE
- License scope
- Repository software and documentation. No blanket license for linked audio, data, model weights, Space applications or unreviewed static assets.
- Stated conditions
- Preserve the MIT notice when reusing covered repository software; assess all other components separately.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-14
Metadata only
Context-label classification methods reference. Predicting activity/environment labels from bark audio is not a validated welfare measure, receiver response or animal-language translation.
Review, rights and research limits
- Version or release
- Hugging Face dataset revision 60a721a7f9477634971f6b3df29dc2a5e56994d8; last modified 2025-07-08
- What we reviewed
- Reviewed the official card and revision API/tree at the pinned hash. The card describes 12,480 training and 3,120 test clips; eight activity categories and six environment categories; and Janus-Pro-7B video-assisted initial label generation followed by manual verification. The tree lists train, validation and test directories. The current card text still describes the test set as forthcoming, and the Dataset Viewer reports mixed audiofolder/CSV split formats. No source archive, audio, labels or model was downloaded or executed.
- Access described in the record
- Public metadata and card on Hugging Face. The repository exposes archive names and a total size of about 746 MB; actual archive contents and their upstream provenance were not inspected.
- Current research decision
- Metadata-only. Do not add the clips to Talk2Nature training or the shared collection until source-media rights/consent, label verification, split grouping, file manifest and a relevant scientific question are independently established.
- Limitations
- The Barkopedia README says the source clips came from YouTube and Reddit, but the review did not locate per-clip permissions or a consent/privacy protocol. The card's MIT metadata does not independently establish rights to those source recordings. The card does not describe reviewer expertise, blinded verification, agreement statistics, animal/session/site split grouping or baseline code. Video-assisted pre-labeling makes this a context-association benchmark; it does not establish that audio-only predictions capture an animal's subjective emotion or intended meaning. Only this one of the eight task-specific datasets was reviewed.
- Attribution
- Arlington Computational Linguistic Lab (UTA-ACL2). Barkopedia Activity and Environment task dataset, Hugging Face revision 60a721a7f9477634971f6b3df29dc2a5e56994d8.
- Declared license
- Hugging Face card metadata declares MIT; underlying source-video/audio rights and the scope of that declaration remain unverified
- License scope
- Activity/environment dataset files and labels only. Repository website code, original platform media, label annotations, challenge baselines and model weights have separate or unresolved terms.
- Stated conditions
- Do not acquire, train on, redistribute or commercially use the media until original source rights, consent/privacy, dataset license scope and label provenance are verified for the exact files.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-14
Metadata only
Published alternative interpretation of Japanese-tit receiver responses, call order and claims about Core-Merge or language syntax.
Review, rights and research limits
- Version or release
- Frontiers in Psychology 15, 1393895 (2024); DOI 10.3389/fpsyg.2024.1393895; PMCID PMC11120967
- What we reviewed
- Read Sections 1–4 of the full text available through PubMed Central, including the 2022 source-linkage experiment and the proposed finite-list and finite-state/concatenation alternatives. No data or code were acquired or run.
- Access described in the record
- Open-access Frontiers article; full text reviewed through PubMed Central.
- Current research decision
- Include as a critical interpretation in the evidence map. It agrees that the experiments support sensitivity to call order and differences between one-source and two-source sequences; it disputes the inference to Core-Merge or hierarchical language syntax.
- Limitations
- This is a conceptual critique, not a new experiment or reanalysis. Its alternative accounts are not experimentally compared in this article. The cited studies remain subject to their own review depth, data rights and limitations.
- Attribution
- Beckers, G. J. L., Huybregts, M. A. C., Everaert, M. B. H. & Bolhuis, J. J. (2024). Frontiers in Psychology 15, 1393895. DOI 10.3389/fpsyg.2024.1393895.
- Declared license
- CC BY 4.0 per the open-access publisher/PMC statement.
- License scope
- Article only; cited data, code, audio, figures with third-party notices and other source materials retain separate rights.
- Stated conditions
- Attribute the authors and source, link the license and indicate changes. The repository contains an original summary and source link only.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-14
Metadata only
Longitudinal change in learned contact-call dialects; a cultural-evolution and conservation comparator, not call-meaning decoding.
Review, rights and research limits
- Version or release
- Proceedings of the Royal Society B 291:20240659 (2024); PMCID PMC11335405
- What we reviewed
- Reviewed the article abstract and targeted methods/results passages surfaced in the PMC index. Direct publisher full-text retrieval was blocked and PMC direct access presented a bot check; the full article and supplements were not reviewed. No analysis was reproduced.
- Access described in the record
- DOI and PubMed Central bibliographic/abstract record. The article's PMC copyright statement says all rights reserved.
- Current research decision
- Include as a historical parrot-dialect evidence record and link to the separate Dryad dataset and MIT code. Do not treat the abstract-level review as a benchmark design or reproduce article content.
- Limitations
- The paper reports dialect shifts during a period of population decline; the abstract does not establish that decline caused the vocal changes or that the changes affect receiver behavior, fitness or communication meaning. This review did not inspect full methods or supplementary analyses.
- Attribution
- Dahlin, C. R., Smith-Vidaurre, G., Genes, M. & Wright, T. F. (2024). Proceedings of the Royal Society B 291:20240659. DOI 10.1098/rspb.2024.0659.
- Declared license
- The PMC record states all rights reserved; a permissive article-reuse license was not verified.
- License scope
- Article text and figures only. Dataset, code, audio and supplements have separate rights.
- Stated conditions
- Link and cite the article; publish only an original short summary. Do not copy its text, tables or figures.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-14
Metadata only
Longitudinal dialect and call-type measurement reference; deposited tables do not include the raw audio needed for an audio model.
Review, rights and research limits
- Version or release
- Dryad v6; API version 305130; published 2024-07-15
- What we reviewed
- Reviewed the Dryad landing page and data dictionary, official current Dryad CC0 guidance, and TLS-verified v6 API metadata/file manifest. No dataset file bytes were retrieved or analyzed.
- Access described in the record
- Public record and version manifest. The API file-download route returned HTTP 401 and the public file-stream route HTTP 403 in this environment; no alternate route was used.
- Current research decision
- Metadata-only. Keep this as an evidence and schema reference. If official file access becomes available and a defined analysis is justified, inspect only the small measurement, selection-table and site-level files locally, preserve site-year grouping, and keep training admission false.
- Limitations
- The deposit contains processed call measurements and metadata, not raw audio or roost-count data. Its 2,461-call selection table and 2,461-row acoustic table use human-assigned call-type labels; BirdID is unique only within a site-year, so call-level random splits risk site/year leakage. The site-level file contains site names; Dryad says exact coordinates are not public. No receiver response or semantic labels are present.
- Attribution
- Dahlin, C., Smith-Vidaurre, G., Genes, M. & Wright, T. (2024). Vocal culture in Amazon parrots [Dataset]. Dryad v6. DOI 10.5061/dryad.m905qfv6j.
- Declared license
- CC0-1.0 per Dryad's version API and current reuse policy; the dataset README states no restrictions on reuse of deposited data.
- License scope
- The version-6 tabular deposit only. The article, GitHub code, publisher supplements, raw audio and roost counts are separate components.
- Stated conditions
- Cite the deposit as scholarly practice, preserve the exact version, do not publish site-level names or infer coordinates, and keep any local sample outside Git and the website.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-14
Metadata only
Reference implementation for spectrographic cross-correlation, unsupervised random-forest similarity and acoustic-space comparisons across dialects and years.
Review, rights and research limits
- Version or release
- Git commit 1399b7a2de6354d27b5227bb75de7e285fe3d636
- What we reviewed
- Reviewed the repository README, pinned commit tree and MIT license metadata, then statically inspected setup/input sections in the four R Markdown analyses. No code was executed.
- Access described in the record
- Public GitHub repository pinned to the reviewed commit.
- Current research decision
- Keep as a code reference; do not import or run it as a baseline until the full paper, required data/inputs and a reproducible environment are reviewed.
- Limitations
- The reviewed scripts contain author-specific absolute filesystem paths, install an unpinned latest warbleR revision, and note archived rgdal/rgeos dependencies; the pinned tree has no lockfile. The required original audio and intermediate random-sampling files are not in Dryad v6. A clean-clone reproduction is not established.
- Attribution
- gsvidaurre/amazon-vocal-culture, MIT-licensed code at commit 1399b7a2de6354d27b5227bb75de7e285fe3d636.
- Declared license
- MIT License.
- License scope
- Repository code only. It does not grant rights to the paper, dataset, raw recordings or supplements.
- Stated conditions
- Retain the MIT notice if code is reused; review any dependency licenses separately.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-14
Metadata only
Methods reference for video-derived affect labels, per-dog test separation and audio classification baselines.
Review, rights and research limits
- Version or release
- ACM Multimedia 2025, pp. 13281–13288; DOI 10.1145/3746027.3758286; author-hosted full text checked 2026-10-14
- What we reviewed
- Targeted full-text review of dataset construction, annotation, pilot reliability, dog-separated test, baselines, results and limitations; no independent reproduction.
- Access described in the record
- Author-hosted eight-page PDF available; the ACM DOI page returned HTTP 403 in this review.
- Current research decision
- Use as a linked research/methods reference. Do not present its audio classifier as emotion diagnosis, welfare advice or translation.
- Limitations
- Human labels were assigned from video context and visible behavior; the pilot reported Fleiss kappa 0.30 for arousal and 0.42 for valence. No independently validated internal-state ground truth or receiver-response test is reported here. Dataset rights are a separate component.
- Attribution
- Tuan M. Dang, Theron S. Wang, Hridayesh Lekhak and Kenny Q. Zhu, ACM Multimedia 2025.
- Declared license
- CC BY-NC-SA 4.0, as stated in the paper PDF.
- License scope
- Article only; does not grant rights to datasets, source videos, code or model weights.
- Stated conditions
- Attribution, non-commercial use and share-alike conditions apply to covered article material.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-14
Metadata only
Audio classification against human video-derived three-class arousal and valence labels for two dog breeds.
Review, rights and research limits
- Version or release
- GitHub commit 6b73c5fce55fc132e97db6a76899f8594a955f59; associated Hugging Face card revision c0617b15562882b9eee4cc1bcb8e6aa80e51bd34
- What we reviewed
- Reviewed the associated paper, exact Hugging Face card commit/diff, and pinned GitHub README/LICENSE; no audio, label CSV or archive bytes were fetched or inspected.
- Access described in the record
- Public paper and dataset repository metadata. No dataset files were acquired.
- Current research decision
- Metadata-only. Do not admit this non-commercial dataset to the shared collection or training path until exact source-media rights, consent/privacy, file lineage and the intended research protocol are independently established.
- Limitations
- CC BY-NC-SA 4.0 is declared for the dataset. Original internet-video permissions and consent are unresolved. Labels are human interpretations of video behavior/context, not independent measurements of subjective emotion or call meaning. The historical Hugging Face Task 6 card and current EmotionalCanines repository have not been shown to contain identical files.
- Attribution
- Tuan M. Dang, Theron S. Wang, Hridayesh Lekhak and Kenny Q. Zhu, EmotionalCanines dataset, GitHub commit 6b73c5fce55fc132e97db6a76899f8594a955f59.
- Declared license
- CC BY-NC-SA 4.0 in the pinned GitHub LICENSE and associated Hugging Face card.
- License scope
- Dataset repository/card declaration only; it does not verify rights, consent or privacy terms for original source videos, or license any separate baseline code or model weights.
- Stated conditions
- Non-commercial use and share-alike conditions; verify original media permissions and consent independently.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Not admitted for this project.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-22
Metadata only
Published overview of a multi-taxonomic acoustic-identification challenge and its El Silencio dataset.
Review, rights and research limits
- Version or release
- CLEF 2025 Working Notes, Vol. 4038, paper 232, pp. 2909-2919; 2025
- What we reviewed
- Reviewed the full 11-page paper and its dataset/methods descriptions. No dataset audio, labels, code or model weights were acquired or run; no challenge result was reproduced.
- Access described in the record
- Public CEUR PDF; a local review copy is excluded from the public website.
- Current research decision
- Use as a source for dataset and challenge provenance, not as a reproduced benchmark or evidence of animal communication.
- Limitations
- The paper describes 11,340 unlabeled soundscapes across 63 sites, while the later pinned README and separate Zenodo deposit describe 10,980 across 61 sites; the 360-file/two-site change is unexplained. The paper's BirdCLEF+ competition dataset and classification metric are separate from the El Silencio labeled subset. The task concerns sound identification, not independently observed behavior, receiver response or meaning.
- Attribution
- Cañas et al., Overview of BirdCLEF+ 2025: Multi-taxonomic sound identification in the Middle Magdalena, Colombia. CLEF 2025 Working Notes, Vol. 4038, paper 232.
- Declared license
- CC BY 4.0 stated on the CEUR-WS volume index and the paper's first page.
- License scope
- Article only. The paper license does not grant rights to the separate dataset recordings, annotations, challenge code or model weights. No article text or figures were copied into Talk2Nature.
- Stated conditions
- Attribute and link the paper, identify changes, and check third-party material exclusions before reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-22
Metadata only
Acoustic event and species/sonotype identification across birds, mammals, amphibians and insects.
Review, rights and research limits
- Version or release
- Zenodo record v1; DOI 10.5281/zenodo.17064353; published 2025-09-05
- What we reviewed
- Queried official Zenodo API metadata and its provider file manifest: 9 files, 3,546,609,904 bytes total, record-level CC BY 4.0. Read the pinned repository README and LICENSE and reviewed the full overview paper and extractable text from the pinned Spanish protocol. No audio, annotation table, labels, code or weights were acquired or run, and no provider audio checksum was locally verified.
- Access described in the record
- Public Zenodo record with a 9-file provider manifest. Record-level CC BY 4.0 is declared by the official API; a license declaration is not an independent source-media/privacy review.
- Current research decision
- Metadata-only. Candidate for multi-taxonomic detection-pipeline engineering, not a communication, behavior-context or meaning benchmark. Keep outside training until source-media, privacy, annotation and evaluation requirements are reviewed.
- Limitations
- The paper describes 770 one-minute recordings (12.8 hours) and about 15,000 strong event boxes. The protocol describes manual Group/Label/SongType annotation and a one-second same-species event grouping rule; it provides acoustic-form labels, not independently observed behavior or receiver response. The paper discusses four taxonomic groups, while the protocol's visible group codes list birds, anurans and insects; the relationship to mammal labels needs specialist clarification. No inter-annotator reliability statistic was found in the reviewed paper/protocol. The rendered page reports 109.8 GB while the nine-file API manifest totals 3,546,609,904 bytes; unresolved. UNKNOWN is not a stable class.
- Attribution
- Cañas, Toro Gómez, Benavides-Lopez, Rodriguez-Buritica, Ulloa and Caycedo-Rosales, El Silencio MT dataset, Zenodo v1, DOI 10.5281/zenodo.17064353.
- Declared license
- CC BY 4.0 declared by the official Zenodo API record.
- License scope
- Record-level dataset declaration. Does not independently establish source-recording rights, consent, privacy, human-audio handling or sensitive-location protections. The pinned GitHub MIT license applies only to repository materials.
- Stated conditions
- Attribute the dataset where the CC BY 4.0 declaration applies; verify source-media rights, privacy and location sensitivity before research use, redistribution or commercial use.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-22
Metadata only
Unlabeled passive-acoustic soundscapes proposed for exploratory multi-taxonomic identification methods.
Review, rights and research limits
- Version or release
- DOI 10.5281/zenodo.17122738; published 2025-09-15
- What we reviewed
- Queried official Zenodo API metadata and its provider file manifest: 61 ZIP files, 49,620,235,222 bytes total, record-level CC BY 4.0. Read the linked repository README at a pinned commit. No audio bytes, labels or code were downloaded or inspected.
- Access described in the record
- Public Zenodo record; the pinned repository README describes 10,980 one-minute soundscapes at 61 sites. The official API supplies per-file sizes and MD5 strings; none were checked against downloaded files.
- Current research decision
- Metadata-only. Possible future representation-learning or ingestion-scale candidate after the task, rights, privacy, site grouping and compute plan are justified. Unlabeled audio cannot test animal meaning by itself.
- Limitations
- The 2025 overview paper reports 11,340 soundscapes at 63 sites, unlike this separate 10,980-recording, 61-site release. The source records do not explain the difference. No event labels, behavior labels, animal identities, session joins, site split or human-audio review were checked. The archive is about 49.62 GB compressed according to the provider manifest.
- Attribution
- REDECOACUSTICA, El Silencio unlabeled soundscapes, Zenodo record 17122738, DOI 10.5281/zenodo.17122738.
- Declared license
- CC BY 4.0 declared by the official Zenodo API record.
- License scope
- Record-level dataset declaration. Does not independently establish source-recording rights, consent, privacy, human-audio handling or sensitive-location protections.
- Stated conditions
- Attribute the dataset where the CC BY 4.0 declaration applies; verify source-media rights, privacy and location sensitivity before research use, redistribution or commercial use.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Metadata only
Bird sound-event detection, species identification, vocalization-type classification and localization; not observed behavior or receiver response.
Review, rights and research limits
- Version or release
- Zenodo v1.1; published 2026-08-06; DOI 10.5281/zenodo.21821133
- What we reviewed
- Reviewed official Zenodo v1.1 record metadata, version notes, file inventory, rights statement and schema.json browser preview. Re-read the official API inventory on October 23, 2026: train_soundscape.csv is 8,559,233 bytes with provider MD5 55b5e3f99566c5bb3ba4fb5b833424da; test_soundscape.csv is 2,401,049 bytes with provider MD5 f572155ae41714e17b218e95d97b1ce9. Checksums are not locally verified. The training CSV exceeds the collection tool's 5 MiB per-file limit. No CSV rows, audio, code or weights were acquired, parsed or executed.
- Access described in the record
- 49.7 GB collection. File-inventory metadata only; no media or annotation table acquired. The training annotation CSV exceeds the current collector's 5 MiB per-file cap. The smaller public test-label CSV was left uninspected and cannot serve as a concealed locked holdout.
- Current research decision
- Metadata-only candidate for bird detector engineering, separate from the first communication-adjacent question. Do not exceed the current intake cap or inspect the public test-label CSV as a locked evaluation. If training-table group structure remains necessary to justify this detection-only exercise, first prepare a bounded, rights- and privacy-reviewed intake plan; no model run is authorized.
- Limitations
- train_soundscape annotations are weak point-centered labels with a fixed +/-2.5 second window and often no vocalization-type label. The schema identifies 40 zero-area boxes to exclude from event localization and one truncated focal recording with annotations past the audio end. The API's project-group semantics and actual row-level group distribution remain unknown because the training CSV was not inspected. Soundscape audio and metadata are declared CC BY 4.0, while train_xenocanto retains per-record Xeno-Canto licenses and some license fields are empty. Source overlap, annotation reliability and source-media privacy remain unaudited.
- Attribution
- Martin et al., Central European Birds (CEB), Zenodo v1.1, DOI 10.5281/zenodo.21821133.
- Declared license
- Component-specific: CC BY 4.0 for soundscape audio and dataset metadata/annotations; original per-record Xeno-Canto licenses for train_xenocanto.
- License scope
- The record-level CC BY declaration does not replace upstream licenses for focal recordings. The schema reports some empty Xeno-Canto license fields; inspect each row before reuse.
- Stated conditions
- Provide CC BY attribution where it applies; preserve each focal recording's own license and attribution. Resolve blank rights fields and verify privacy/source provenance before use, redistribution or commercial work. Do not treat API metadata as row inspection or as verification of group structure.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-23
Metadata only
Multi-label avian acoustic/species classification across several evaluation soundscapes; not call meaning or receiver response.
Review, rights and research limits
- Version or release
- arXiv:2403.10380v6 (2025-05-18); accepted as an ICLR 2025 spotlight
- What we reviewed
- Reviewed the primary paper abstract and version history plus the linked current dataset card. The full paper body, supplement and training code were not audited; no data, code or model weights were acquired or run.
- Access described in the record
- Public arXiv record and linked project card. No local copy retained.
- Current research decision
- Use as a large-scale methods benchmark reference only. It cannot answer the first Talk2Nature communication question, and the linked data are not admitted for training.
- Limitations
- The task labels bird taxa and acoustic events, not behavior, receiver comprehension or meaning. Published scale figures are benchmark descriptions, not an independent reproduction. Do not transfer its results to parrots or other animal groups without a task-specific test.
- Attribution
- Rauch et al. (2025), arXiv:2403.10380v6; spotlight at ICLR 2025.
- Declared license
- Paper reuse terms not independently verified.
- License scope
- Article only; no automatic license for the separate dataset, code or model weights.
- Stated conditions
- Talk2Nature publishes an original short summary and link only. Recheck the article license before reproducing text, figures or tables.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Metadata only
Multi-label bird-species and soundscape classification; potentially a methods reference for an acoustic-detection layer only.
Review, rights and research limits
- Version or release
- Current dataset card reviewed 2026-10-23; source Xeno-Canto snapshot dated 2024-03-10; dataset revision not pinned
- What we reviewed
- Reviewed the current card’s task, configuration sizes, metadata fields, rights statements and code/viewer notes, and the complete May 2026 maintainer license-clarification thread. No recording, label file, code or weight was acquired, loaded or executed.
- Access described in the record
- The card lists XCL at 528,434 recordings / 484 GB and recommends the HSN configuration at 5,460 training recordings / 10,296 test labels / 5.92 GB / 21 classes. These are upstream card figures, not locally verified files. No dataset files were downloaded.
- Current research decision
- Keep metadata-only and out of Talk2Nature model training. BirdSet is useful background for evaluating sound-classification methods, but it is not a parrot-context or animal-communication benchmark. Reconsider only after a component-level rights review and a clearly scoped, appropriately licensed task.
- Limitations
- The dataset card’s top-level license is CC BY-NC 4.0 and limits use to non-commercial research and education, while Xeno-Canto recordings carry mixed record-level terms, including NC, SA, CC BY and CC0 entries. The maintainer thread documents a metadata correction and inconsistent license-string formats; exact terms for a usable subset and their compatibility with the umbrella restriction remain unresolved. The card’s compatibility statements are inconsistent (datasets <=3.6.0 versus a later <4.0.0 changelog entry), and the live viewer reports that it cannot load the custom dataset script. The card does not provide receiver-response or experimentally supported meaning labels. Metadata include latitude and longitude, so any future handling also needs location-sensitivity review.
- Attribution
- Rauch et al., BirdSet (2025); dataset card and license clarification by DBD-research-group contributors.
- Declared license
- Dataset card states CC BY-NC 4.0 at the collection level and non-commercial research/education only; source recordings have per-record CC terms.
- License scope
- The umbrella statement, per-record terms and test-set component terms must be reviewed together. The card and maintainer discussion do not establish Talk2Nature’s right to train, redistribute, or use a resulting model commercially.
- Stated conditions
- No acquisition or model use. Before any subset is considered, pin its dataset revision, inspect each included recording’s license and provenance, resolve the umbrella-versus-record-level terms, and separately review code, weights, derived artifacts and location handling.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-23
Metadata only
Methods and dataset-description paper for species-level bird vocalization detection and geographic bioacoustic research.
Review, rights and research limits
- Version or release
- Ecology 107(2), e70317; first published 2026-02-07
- What we reviewed
- Reviewed the primary publisher abstract and data-availability statement only. The full methods, supporting-information PDF and analyses were not reviewed; no data, code or model was acquired or run.
- Access described in the record
- Publisher page links the dataset at Zenodo DOI 10.5281/zenodo.17293588. No paper PDF was retained.
- Current research decision
- Use as a large-scale bird-acoustic dataset reference. It is relevant to detection and acoustic generalization, not animal communication meaning.
- Limitations
- The reviewed abstract describes species-level vocalization occurrence and timing, not independently observed behavior, receiver response or meaning. The abstract states CC BY 4.0 for the dataset, while the current Zenodo v4 record states CC BY-NC 4.0. This discrepancy remains unresolved. The full paper and supporting metadata were not inspected.
- Attribution
- Pérez-Granados et al. (2026), Ecology 107(2):e70317, https://doi.org/10.1002/ecy.70317.
- Declared license
- The publisher abstract reports CC BY 4.0 for the dataset; the current Zenodo v4 record reports CC BY-NC 4.0. Unresolved.
- License scope
- Article, dataset, source recordings and any derived model are separate assets. No article text, figure or dataset media is reproduced here.
- Stated conditions
- Do not acquire or train on the archive until the versioned dataset license discrepancy and source-recording terms have been reviewed.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Not admitted for this project.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Metadata only
Species-level bird vocalization detection and identification; a possible reference for cross-site acoustic evaluation.
Review, rights and research limits
- Version or release
- Zenodo v4; DOI 10.5281/zenodo.20513304; published 2026-06-02
- What we reviewed
- Reviewed the official current Zenodo v4 record, its version history and file inventory, together with the linked publisher abstract and data-availability statement. No archive, audio, annotation table, code or model was downloaded, inspected or run.
- Access described in the record
- The current public Zenodo record lists a 21.3 GB archive, associated metadata and annotations. This is a provider-listed size; no local files or checksums were verified.
- Current research decision
- Keep metadata-only. This is a strong candidate for studying bird-call detection and site/geographic generalization after rights and split review, but it is not a behavior-context or communication benchmark.
- Limitations
- The publisher abstract reports 91,931 vocalizations from 1,192 species across 72 sites, 29 recording locations and 13 biomes, within 5,047 minutes of audio. The current Zenodo v4 record declares CC BY-NC 4.0, while the linked journal abstract says CC BY 4.0 for the dataset. The discrepancy is unresolved; original-source rights and any per-file restrictions were not reviewed. The archive, metadata schema, labels, grouping keys and evaluation split were not inspected. No Talk2Nature baseline or model result exists.
- Attribution
- Pérez-Granados et al. (2026), WABAD, Zenodo v4, DOI 10.5281/zenodo.20513304; data paper DOI 10.1002/ecy.70317.
- Declared license
- Zenodo v4 declares CC BY-NC 4.0; the linked journal abstract says CC BY 4.0 for the dataset. Treat the conflict as unresolved.
- License scope
- Record-level statements are not an independent audit of source recordings, per-file restrictions or commercial permission.
- Stated conditions
- No acquisition or training until the archive/article license discrepancy, source-record terms, location handling and version-specific metadata have been reviewed. Any future evaluation needs a reviewer-approved, leakage-resistant holdout by site and other relevant groups.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Not admitted for this project.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-23
Metadata only
Relates vocal diversity and contact-call similarity to social-network measures; useful as an observational context-design reference, not a call-meaning benchmark.
Review, rights and research limits
- Version or release
- Royal Society Open Science 12(5):241717 (2025); published May 7, 2025
- What we reviewed
- Reviewed the published abstract and targeted methods, results, discussion, data-access and rights passages via the primary article record and institutional copy. No article figures or full-text copy are reproduced.
- Access described in the record
- Open article via DOI and linked institutional/PMC records.
- Current research decision
- Include as a source-linked methods reference. Treat the 2025 result as a social-network analysis of an overlapping cohort already reported in the 2023 voiceprint paper, not independent replication.
- Limitations
- Associations between social measures and call variation do not establish message meaning, causal function or receiver understanding. The same 5,599-call, 229-bird, two-year cohort is reported in the 2023 voiceprint study.
- Attribution
- Smeele, Senar, McElreath and Aplin (2025), Royal Society Open Science 12:241717, https://doi.org/10.1098/rsos.241717.
- Declared license
- CC BY 4.0 declared for the article.
- License scope
- Article rights do not automatically apply to the separate data archive, code, audio or model outputs.
- Stated conditions
- Credit the authors and source; do not reproduce third-party data or figures under the article license assumption.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Metadata only
Potential source for inspecting social-network and vocal-analysis data structure after overlap, rights and location review.
Review, rights and research limits
- Version or release
- Zenodo v1; DOI 10.5281/zenodo.13906800; published 2024-10-09
- What we reviewed
- Reviewed the official Zenodo v1 record, listed archive size and record-level license declaration only. No archive or member file was downloaded or inspected.
- Access described in the record
- The record is marked open and lists one 129.5 MB ZIP. No local file or checksum was verified.
- Current research decision
- Keep metadata-only. Do not acquire until the exact relationship to the 2023 cohort, member-level contents and terms, missing input files, and location sensitivity are reviewed.
- Limitations
- The record-level MIT declaration does not establish the provenance, rights or privacy suitability of every archive member. Archive contents and joins are unknown. The author code README documents some UTM/nest-location fields and says some inputs are not shared.
- Attribution
- Smeele, Simeon Q. (2024), data associated with Smeele et al. (2025), Zenodo v1, DOI 10.5281/zenodo.13906800.
- Declared license
- Zenodo declares MIT at record level; archive members have not been inspected.
- License scope
- Do not infer that all embedded audio, annotations, locations or third-party elements share the record-level terms.
- Stated conditions
- No acquisition or reuse until file-level provenance, overlap, location sensitivity and the intended-use terms are reviewed.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-23
Metadata only
Author R/Stan analyses and data-preparation scripts for social-network and acoustic-variation models.
Review, rights and research limits
- Version or release
- GitHub commit 395a622b18f3f55fd4efdcb9a093cc214f6fdf67
- What we reviewed
- Reviewed the pinned repository README and file tree. No LICENSE file was located at this revision. No code, dependencies or data were downloaded or executed.
- Access described in the record
- Public GitHub repository; commit pinned for provenance.
- Current research decision
- Keep metadata-only. Do not reuse or execute until a license is identified and missing inputs, data provenance, dependency setup and location fields are reviewed.
- Limitations
- The README states some required age, relatedness and other input data are not shared, so parts of the analyses cannot be rerun. It also documents UTM/nest-location fields. The Zenodo record-level license does not apply automatically to GitHub code.
- Attribution
- Simeon Q. Smeele and coauthors; repository snapshot 395a622b18f3f55fd4efdcb9a093cc214f6fdf67.
- Declared license
- No repository license was located in the pinned tree; reuse terms unresolved.
- License scope
- The Zenodo data-record license is not a code license.
- Stated conditions
- Do not reuse or execute until the repository license and dependency/data terms are clarified.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-23
Metadata only
Large-scale, file-level animal species classification and acoustic pretraining across five taxonomic classes.
Review, rights and research limits
- Version or release
- NeurIPS 2024 Datasets and Benchmarks Track; DOI 10.52202/079017-4213
- What we reviewed
- Targeted review of the paper abstract and dataset, label, evaluation, downstream-test and asset/consent passages. No paper text or figures were copied; no experiments were reproduced.
- Access described in the record
- Official NeurIPS record and linked paper. A local paper copy was not retained.
- Current research decision
- Use as an important methods and dataset reference only. It is not admitted to Talk2Nature model training or commercial product inference; the linked paper does not itself supply rights to audio, code or weights.
- Limitations
- The dataset uses one species label per recording and the paper describes these labels as weak. A recording or short window may not contain the labeled species call. The paper cautions against evaluating models on iNatSounds alone and recommends strongly labeled downstream tests. Article reuse terms were not independently verified.
- Attribution
- Chasmai, Shepard, Maji and Van Horn, The iNaturalist Sounds Dataset, NeurIPS 2024 Datasets and Benchmarks Track, DOI 10.52202/079017-4213.
- Declared license
- Article reuse terms not independently verified.
- License scope
- Paper only. The article provides no automatic license to the dataset recordings, training code or model weights.
- Stated conditions
- Cite and link to the original paper; do not reproduce its text, figures or tables until article reuse terms are checked.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Metadata only
File-level species classification and representation/pretraining research across birds, insects, amphibians, mammals and reptiles.
Review, rights and research limits
- Version or release
- 2024 release; README pinned to commit bd52ecde5d9d7434f6167bbac823d152c3823ccd
- What we reviewed
- Reviewed the NeurIPS paper’s targeted dataset/evaluation passages, the pinned official dataset README and the current iNaturalist media-license FAQ. Checked split totals, annotation fields, usage terms, archive-size claims and location metadata. No audio, annotation JSON or checksum was acquired or verified.
- Access described in the record
- The README lists train, validation and test audio archives as approximately 81 GB, 25 GB and 27 GB (about 133 GB combined), plus small annotation archives. These are provider-listed sizes, not locally verified files.
- Current research decision
- Metadata-only. It is a valuable broad species-classification/pretraining reference but is not admitted to the commercial-capable Talk2Nature data/model path. Any non-commercial research use remains conditional on the dataset terms and individual media licenses.
- Limitations
- One species label applies to each whole recording; labels do not mark call boundaries, behavior, interaction context or receiver response. The paper notes geographic sampling bias toward the United States and Europe and says iNatSounds-only evaluation is not a sufficient measure of downstream performance. The README exposes recording date, latitude, longitude and location uncertainty, so sensitive-species location handling needs review. Dataset terms restrict downloads to non-commercial research/education and prohibit redistribution of recordings; individual iNaturalist media licenses vary and can be all-rights-reserved. No item-level license filtering, location audit, source-overlap audit or Talk2Nature evaluation was performed.
- Attribution
- Chasmai, Shepard, Maji and Van Horn, iNatSounds 2024; original recordings contributed through iNaturalist.
- Declared license
- The dataset README permits non-commercial research and educational use only and prohibits redistribution of dataset recordings; the underlying recordings also carry contributor-selected, item-level licenses.
- License scope
- Dataset terms, source-media licenses and any derived model/embeddings are separate. The README’s prohibition on distributing recordings does not grant commercial rights to trained weights. No legal review was performed.
- Stated conditions
- Do not acquire or train for a commercial Talk2Nature product under the reviewed terms. A separately scoped non-commercial research use would still need item-level license review, privacy/location safeguards, and a plan that respects the no-recording-redistribution condition.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-23
Metadata only
Reference implementation for the iNatSounds species-classification experiments.
Review, rights and research limits
- Version or release
- GitHub commit 78ff2a5850d6c2b364dd36422085033b5a0fa750
- What we reviewed
- Reviewed the pinned repository README and training-command outline and verified GitHub’s MIT SPDX metadata. No code, dependencies or data were downloaded or run.
- Access described in the record
- Public GitHub repository at an immutable commit.
- Current research decision
- Metadata-only methods lead. MIT applies to repository code, not the dataset, linked model weights or third-party dependencies.
- Limitations
- The implementation README states that further hyperparameter and usage details are forthcoming. No dependency audit, fresh reproduction or code safety review was performed. The dataset’s own non-commercial/no-redistribution terms continue to apply independently.
- Attribution
- Chasmai et al., cvl-umass/iNatSounds, commit 78ff2a5850d6c2b364dd36422085033b5a0fa750.
- Declared license
- MIT reported by the official GitHub repository for code.
- License scope
- Repository code only; no extension to audio, dataset annotations, pretrained weights or dependencies.
- Stated conditions
- Preserve the MIT notice if code is later reused; review dependencies and the data/model rights separately before any execution or integration.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Model · Catalog reviewed 2026-10-23
Metadata only
Pretrained species-audio classification weights linked by the iNatSounds implementation README.
Review, rights and research limits
- Version or release
- Author-linked Google Drive folder; exact checkpoint files and versions not reviewed
- What we reviewed
- Followed the README link to the Google Drive folder; did not inspect a file manifest, model card, terms, training-data record or checkpoint contents.
- Access described in the record
- The author-linked folder is reachable, but individual file names and terms were not reviewed.
- Current research decision
- Unresolved metadata-only lead. Do not acquire, run, redistribute or integrate these weights until the exact checkpoint, license, training provenance and output-use terms are established.
- Limitations
- No weights were acquired or executed. Dataset non-commercial/no-redistribution restrictions and any source-media terms may affect derived weights; this relationship has not been resolved.
- Attribution
- iNatSounds authors; model-weight folder linked from cvl-umass/iNatSounds.
- Declared license
- Model-weight license not located or verified.
- License scope
- Weights are separate from the MIT-licensed code and the dataset README. Training-data, checkpoint and derived-output terms are unknown.
- Stated conditions
- No download, execution, redistribution or app use until the exact files and terms are reviewed and their training-data rights are resolved.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-23
Metadata only
Disclose a separate coauthorship relationship between a possible bat-vocal-communication reviewer and an author of the source dataset.
Review, rights and research limits
- Version or release
- Nature 638, 449–458 (2025)
- What we reviewed
- Checked the official Nature author list and the official St Andrews group page only. The article's scientific content was not reviewed and is not used as evidence about vocal communication.
- Access described in the record
- Official Nature article record; only bibliographic author metadata used.
- Current research decision
- Keep metadata-only as a relationship disclosure. The coauthorship is not a finding of bias or automatic disqualification; assess it before describing any review as independent.
- Limitations
- This is a separate bat-genomics paper, not a paper about the Egyptian fruit-bat vocalization dataset or its 2024 prediction task. It establishes coauthorship only, not reviewer availability, interest or independence.
- Attribution
- Morales et al., Nature 638, 449–458 (2025), DOI 10.1038/s41586-024-08471-0.
- Declared license
- Full-article license not reviewed; only public author metadata was used.
- License scope
- No article text, figures, supplements or underlying data were acquired or reproduced. The paper record is separate from the bat vocalization dataset and prediction paper.
- Stated conditions
- Cite the original record. Do not reproduce article content unless the relevant license is checked.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Metadata only
Candidate first technical task: attribute a detected, isolated vocalization to one of the visible birds using audio/video/pose, with caller truth derived from on-body accelerometer data. This is caller attribution, not call meaning or reply detection.
Review, rights and research limits
- Version or release
- Hugging Face repository commit 975ddf36a1f0c0bffc512bf2c2e6aa40bb2a1913; accessed 2026-10-23
- What we reviewed
- Reviewed the complete pinned dataset card and code/sample README plus included metadata.json and split_summary.json. Computed verified-TLS SHA-256 hashes in memory for those three text files and matched their Git blob IDs; see research/v33da_sample_manifest.json. The complete sample-only Git tree lists 334 files (62,503,976 bytes), including 100 audio, accelerometer and video files. No Parquet, media, executable code or model bytes were acquired or run.
- Access described in the record
- No binary sample, Parquet, audio, accelerometer, video or calibration bytes were acquired. Three small text files were fetched in memory only, checksummed against the pinned Git tree and not retained locally.
- Current research decision
- Keep metadata-only. Dataset card and nested sample README declare CC BY 4.0; repository MIT license applies to software. The 62.5 MB sample exceeds the collector 20 MiB per-invocation limit. The full-release held-out BP05 set comprises three unseen physical callers but also changes experiment, group, date/year and cage; treat it as a bundled shift test. No acquisition or model run is authorized by this review.
- Limitations
- Caller identity is not behavior, addressee, receiver response, intent or meaning. The full release comes from one aviary/recording geometry and excludes overlapping calls. The experiment-held-out split tests three unseen BP05 callers (brown 56 events, purple 2,140, yellow 3,633) but bundles experiment, group, date/year and cage changes; event counts are not independent sample size. A session split retains the same physical birds. Leave-one-bird-out is advertised but exact implementation/fold membership is unverified. The 100-event sample has no verified sample-specific split or Parquet join. BP05 metadata includes an extra red color without an event-count group; candidate-set membership and chance baseline remain unknown. No media or Parquet bytes were inspected.
- Attribution
- Basha, M. et al. (2026), Who Called? V33DA: A Physically Verified Multimodal Benchmark for Vocal Attribution in Zebra Finch Groups; associated manuscript listed as under review in the dataset card.
- Declared license
- CC BY 4.0 declared by both the pinned Hugging Face dataset card and the nested README for the 100-event repository sample. The GitHub repository's top-level MIT license applies to software, not sample media.
- License scope
- Reviewed declarations cover the V33DA dataset/sample only. The manuscript, V33DA++ companion release, code, dependencies and model weights are separate components.
- Stated conditions
- Preserve CC BY attribution, identify changes and pin the exact release. Before any sample acquisition, verify its files and provenance and approve the research protocol. Do not infer the MIT code license applies to data or third-party dependencies. This metadata review admits no training run or project redistribution.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-23
Metadata only
Reference implementation for caller-attribution loaders, date-based evaluation splits and baselines.
Review, rights and research limits
- Version or release
- GitHub commit e988b985e38909b40b2705cdad994e3d9307181e
- What we reviewed
- Reviewed the pinned software license, README, nested sample README, split-preparation script and training entry point. Fetched README.md, metadata.json and split_summary.json in memory over verified TLS, computed SHA-256 and matched each Git blob ID; see research/v33da_sample_manifest.json. No media, Parquet, executable code or model bytes were acquired or run. A follow-up static review found scripts/train.py imports v33da.data.collate, dataset, features and splits, but the pinned public tree has no v33da/data directory. The split-preparation script writes session and held-out-experiment labels; no code was executed.
- Access described in the record
- Pinned public repository metadata only. Three small text files were checksummed in memory and not retained. No sample media or Parquet was acquired; the tree inventory still records 334 files totaling 62,503,976 bytes.
- Current research decision
- Do not run or adopt from this snapshot. The checked-in tree lacks the v33da.data modules imported by the trainer; the split-preparation script materializes session and held-out-experiment date labels only, so the advertised leave-one-bird-out path and end-to-end reproduction are not verified.
- Limitations
- The split summary is for all 33,625 release rows, not a verified split for the 100-event repository sample. The experiment-held-out test comprises three BP05 callers, while experiment, group, date/year and cage also change. The session split uses the same birds. Leave-one-bird-out is advertised but exact implementation/fold membership remains unverified. The extra BP05 red color has no caller count, so candidate membership and chance baseline are unresolved. The repository reports about 53 GPU-hours for all paper experiments. No reproduction or scientific result is claimed. The public repository tree is missing the v33da.data package imported by scripts/train.py; only read-only source inspection was performed.
- Attribution
- Basha et al., marisbasha/v33da, commit e988b985e38909b40b2705cdad994e3d9307181e.
- Declared license
- MIT for software in the top-level LICENSE; CC BY 4.0 for the included sample as declared in its nested README.
- License scope
- Software and real media are separate. This review does not cover third-party dependencies, model weights or files outside the declared sample.
- Stated conditions
- Retain the MIT notice for any reused software. Preserve CC BY attribution and change notices for any permitted sample use; review dependencies and individual media provenance separately.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-24
Metadata only
A communication-relevant study of turn timing and acoustic adaptation; suitable as a literature/evaluation-design lead, not as a ready-to-use training corpus.
Review, rights and research limits
- Version or release
- bioRxiv preprint v3 (2026)
- What we reviewed
- Reviewed the full bioRxiv v3 main text, including Results, Discussion, Methods 1.1–1.7, data-availability statement and posted license, plus official Zenodo landing-page/API metadata and its complete top-level file list. The Zenodo list has one ZIP; its internal manifest and contents, supplemental analyses and audio/data rights were not reviewed. No archive, audio, code or weights were acquired or run.
- Access described in the record
- The preprint reports more than 1,000 hours of interactions. Zenodo's API lists one 26,633,934,601-byte ZIP with a provider-reported MD5; the payload and its internal contents were not downloaded or verified.
- Current research decision
- High-relevance metadata-only literature lead for acoustic exchange and next-call prediction. Do not acquire or train from the archive until its exact manifest, component-level recording/data rights, individual-level split and independent review are resolved. Talk2Nature remains passive; do not reproduce the paper's playback experiments.
- Limitations
- The study is a preprint. A Results passage reports 20 birds while Methods reports 21. Training/evaluation is described by pair, but individual-bird disjointness across pairs is not established in the reviewed text. A call within one second is an operational response measure, not a semantic label. Reported prediction metrics do not establish general animal-language ability. The article's version-specific data-availability statement and later Zenodo release are not reconciled. The Zenodo record-level MIT field and description do not clearly license audio, annotations or benchmark metadata; its top-level API manifest identifies one ZIP but does not reveal its internal contents or provenance.
- Attribution
- James et al. (2026), Leveraging AI-powered interactive playbacks to decipher rules of communication in zebra finches, bioRxiv 2026.02.12.705387 v3, posted March 23, 2026. The official v3 page states that the title and abstract were updated.
- Declared license
- bioRxiv lists CC BY-NC-ND 4.0 for the v3 manuscript. Zenodo API metadata lists MIT at record level; its description specifically states code and model weights are MIT.
- License scope
- Manuscript, code, checkpoints, recordings, annotations and benchmark metadata are separate components. The exact release manifest and data/audio rights remain unresolved.
- Stated conditions
- No archive acquisition, execution, redistribution or commercial use until exact contents, provenance and component-level rights are verified. Preserve the preprint status and version/date distinction.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Metadata only
Metadata-only candidate release associated with zebra-finch call-timing and next-call prediction research; not admitted for training or app inference.
Review, rights and research limits
- Version or release
- Zenodo record 23024019; published 2026; no explicit version field
- What we reviewed
- Queried the official Zenodo API over HTTPS with certificate verification and inspected the complete top-level file list. It contains one ZIP (26,633,934,601 bytes) with provider-reported MD5; no payload was downloaded and the checksum was not verified locally. The archive's inner manifest and contents were not inspected.
- Access described in the record
- Public record metadata lists one 26.6 GB ZIP and describes code, checkpoints and data, including next-call benchmark metadata. This does not verify which recordings, annotations or other files are inside the archive.
- Current research decision
- Keep metadata-only. The MIT record field and description's code/model license statement do not establish rights for recordings, annotations or benchmark data. Do not acquire, execute, train, redistribute or commercialize archive contents until exact contents, provenance and component-level terms are resolved and reviewed.
- Limitations
- This is a release metadata record, not an inspected dataset. The preprint v3 data-availability statement and the later Zenodo release are not reconciled. The provider MD5 is not locally verified. Exact data/audio licensing, source-media provenance, bird-level split disjointness, independent review and benchmark readiness remain unresolved.
- Attribution
- James et al. (2026), ZF-AIM Acoustic Interaction Model, Zenodo record 23024019, DOI 10.5281/zenodo.23024019; related preprint DOI 10.64898/2026.02.12.705387.
- Declared license
- Zenodo API record-level identifier is MIT; the record description explicitly says code and model weights are MIT-licensed. No clear license for recordings, annotations or benchmark metadata was identified.
- License scope
- Top-level record metadata only. The 26.6 GB ZIP's internal files, provenance, embedded notices and data rights were not inspected. The article, code, weights, audio, annotations and metadata are separate components.
- Stated conditions
- Resolve component-level provenance and terms before any archive acquisition, execution, training, redistribution or commercial use. No contact or terms acceptance occurred.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-23
Metadata only
Data descriptor for field bird-vocalization monitoring and acoustic classification.
Review, rights and research limits
- Version or release
- Scientific Data Early Article; published 2026-09-11
- What we reviewed
- Reviewed the publisher's title, abstract, publication notice and article rights statement only. Full article body and supplement were not reviewed; no paper file was downloaded.
- Access described in the record
- Publisher page is open access. This catalog retains a citation and original summary, not article text or figures.
- Current research decision
- Use as a source for the separately versioned Zenodo dataset record. The article abstract and current dataset v2 disagree on the species count; do not merge their counts without reconciliation.
- Limitations
- The article is marked as an early version subject to later edits. The publisher states CC BY-NC-ND 4.0 for article text; that license does not grant rights to the dataset. The full methods, source-media provenance and supplementary material were not reviewed.
- Attribution
- Panwar et al. (2026), Scientific Data, DOI 10.1038/s41597-026-08226-8.
- Declared license
- CC BY-NC-ND 4.0 as stated by the publisher for the article.
- License scope
- Article text only in this record; the dataset has a separate Zenodo v2 record declaring CC BY 4.0.
- Stated conditions
- Cite the article and do not reproduce its text, figures or other protected material. Assess dataset terms from its exact versioned record.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Metadata only
Bird vocalization event detection, localization and species classification across field soundscapes; not caller identity or communication meaning.
Review, rights and research limits
- Version or release
- Zenodo v2; record 20038954; concept record 18041380; published 2025-12-24; reviewed 2026-10-23
- What we reviewed
- Reviewed the publisher abstract and rights notice, official Zenodo v1/v2 record descriptions, and complete v2 API file metadata. Also inspected checksum-verified aggregates from a separate four-file metadata sample; no audio, annotation rows, code or model were acquired or run.
- Access described in the record
- The v2 record lists approximately 27.7 GB across recordings, annotation archives and metadata. Only four small metadata files (260,845 bytes total) were acquired into ignored local storage to reconcile counts; no audio or annotation rows were acquired.
- Current research decision
- Metadata-only candidate for a future site-aware bird-detection evaluation. A checksum-verified metadata review supports the 104-site total but leaves a KAWW park-count discrepancy and 88-versus-96 species difference unresolved. Keep separate from the bat context, zebra-finch caller-attribution and parrot observation tracks. No model run or training admission.
- Limitations
- The v2 README and publisher abstract report 88 species; the v2 species table has 96 IsBird=Yes rows with 182,633 annotations, so the difference remains unresolved. The README and two metadata tables support 104 sites; site_metadata.csv lists KAWW 24 while the landing-page opening summary says 20. Labels identify species and event bounds, not individual callers, social context or receiver response. Faint or unidentifiable events may remain unlabeled, some calls are grouped across pauses under two seconds, and sampling protocols differ by subset. The collection is regionally bounded and its metadata contains site coordinates; no coordinate values were exported. No site-held-out split, label-row distribution, source-media provenance or location-sensitivity review was completed.
- Attribution
- Panwar et al. (2026), Zenodo v2 DOI 10.5281/zenodo.20038954; data descriptor DOI 10.1038/s41597-026-08226-8.
- Declared license
- CC BY 4.0 declared by the Zenodo v2 dataset record.
- License scope
- Dataset record only; the associated article text is separately listed as CC BY-NC-ND 4.0. No independent source-media or component-level rights audit was performed.
- Stated conditions
- Retain attribution and identify the exact v2 release if any later use is approved. Review the unresolved counts, source provenance, site coordinates and location conditions before acquiring or redistributing audio or annotations. Metadata sample is not training admission.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Limited sample route
Aggregate-only inspection of the README and site, recording and species metadata; no audio or annotation rows.
Review, rights and research limits
- Version or release
- Zenodo v2 record 20038954; DOI 10.5281/zenodo.20038954; reviewed 2026-10-23
- What we reviewed
- The exact Zenodo v2 record, API DOI, CC BY 4.0 declaration, file names, sizes, MD5 values and content endpoints were checked. Four small metadata files were acquired locally; provider MD5 values and local SHA-256 receipt values were verified. Aggregate counts were inspected without exporting site IDs or coordinate values.
- Access described in the record
- Four selected metadata files total 260,845 bytes. The deposit's approximately 27.7 GB audio and annotation archives are not part of this sample.
- Current research decision
- Approved only for aggregate reconciliation of the public record totals. The site total of 104 is corroborated; the KAWW park subtotal and 88-versus-96 species count remain unresolved. This metadata sample is not admitted to model training, species detection or communication research.
- Limitations
- Zenodo's record-level license is not an independent audit of every component. Site metadata contains coordinates; no coordinate values or raw site IDs are included in the aggregate report. Provider MD5 values were checked against received bytes and local SHA-256 values are recorded in the ignored receipt; neither is a cryptographic signature from the source. Any audio or annotation acquisition requires a separate decision.
- Attribution
- Panwar et al. (2026), Zenodo v2 DOI 10.5281/zenodo.20038954.
- Declared license
- CC-BY-4.0
- License scope
- Zenodo v2 record-level CC BY 4.0 declaration applies to this bounded metadata sample; no independent component-level rights audit. The paper text has a separate CC BY-NC-ND 4.0 license.
- Stated conditions
- Retain attribution and exact record/version. Keep site coordinates and raw rows out of public summaries. The sample is not training admission.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- A bounded sample path is approved by the collection rules; this is not scientific or training admission.
Paper · Catalog reviewed 2026-10-23
Metadata only
Peer-reviewed description of a dense wild great-tit song corpus and candidate questions about song structure, repeatability, repertoire and culture.
Review, rights and research limits
- Version or release
- Animal Behaviour 211 (2024), 111–122; published 2024-03-25
- What we reviewed
- Reviewed primary publisher abstract/data-availability statement and Oxford Research Archive bibliographic/article-rights record. Complete methods and analyses were not independently reviewed; no article file was retained or reproduced.
- Access described in the record
- Open-access publisher and institutional records; article points to dataset at OSF DOI 10.17605/OSF.IO/N8AC9.
- Current research decision
- Use as a source for the song-structure dataset record. The paper does not establish receiver response, interaction meaning or a Talk2Nature model result.
- Limitations
- Review was limited to abstract, data availability and rights metadata. The 2025 Current Biology paper already analyzes the same corpus; assess prior work before proposing a new model task.
- Attribution
- Merino Recalde, N. R., Estandia, A., Pichot, L., Vansse, A., Cole, E. F. and Sheldon, B. C. (2024), Animal Behaviour 211:111–122, DOI 10.1016/j.anbehav.2024.02.008.
- Declared license
- CC BY 4.0 as stated by publisher/Oxford repository.
- License scope
- Article text only; dataset and related code are separate assets.
- Stated conditions
- Attribute authors, link license and identify changes if reusing article text. This site publishes an original summary and links only.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-25
Metadata only
Acoustic note segmentation, sequence/repertoire structure, individual song variation and vocal-culture research within one wild population.
Review, rights and research limits
- Version or release
- OSF node n8ac9; last modified 2023-07-10; complete API tree rechecked 2026-10-24; no explicit dataset version label
- What we reviewed
- Reviewed the peer-reviewed paper abstract/data-availability statement, author documentation and OSF API node/license/file tree. The complete 2026-10-24 root traversal lists 23 entries (14 under data/ and nine under docs/), 12,184,678,510 bytes total. An earlier same-day 14-entry traversal listed only data/ and omitted docs/; the corrected snapshot supersedes it. After removing leading slashes from the 2026-10-23 historical paths, all 23 paths and byte sizes match. The historical local manifest stored a malformed 63-character SHA-256 for docs/metadata/main.md. On 2026-10-25, only this 6,426-byte file was fetched for integrity verification; its SHA-256 and MD5 match the current OSF API. Its text was not read or redistributed; no audio, annotation, coordinate-value or model payload was acquired.
- Access described in the record
- The public OSF node license relationship declares CC BY 4.0 and the node was last modified 2023-07-10. The complete current API tree lists 23 files totaling 12,184,678,510 bytes: 14 data files totaling 12,184,652,639 bytes and nine documentation files totaling 25,871 bytes. The four song-archive parts total 11,380,411,540 bytes; ten metadata/map files total 804,241,099 bytes. The approximately 9 TB original continuous recordings are not in this shared package. No song audio or annotation data were downloaded. One 6,426-byte documentation file was retrieved only for integrity verification; its text was not reviewed.
- Current research decision
- Keep as a metadata-only song-structure candidate. It is not a behavior-context, receiver-response or meaning dataset and does not replace the first communication-adjacent candidate.
- Limitations
- One U.K. population. Bird identity associated with breeding attempts may be uncertain or a proxy for uncaught birds. Author documentation specifies British National Grid nestbox coordinates in nestboxes.csv and says these data are also included in main.csv; the API tree lists a Wytham perimeter shapefile. Only field descriptions and API metadata were reviewed, not coordinate values or file contents. Treat precise locations as potentially sensitive wildlife-location information; keep public geography coarse and exclude coordinates from derivatives unless an appropriate review establishes a need and safe handling. The complete 2026-10-24 API tree has the same 23 normalized paths and byte sizes as the 2026-10-23 snapshot. The older local snapshot stored a malformed 63-character SHA-256 for docs/metadata/main.md. On October 25, the current 6,426-byte file matched the OSF API SHA-256 and MD5; the reason for the malformed historical string is unknown. Its contents were not reviewed; no other provider hash was recomputed. Annotation values, grouping keys and the split were not inspected. The 2025 paper already trains a ViT metric-learning model on this corpus and uses embeddings for repertoire similarity and demographic song-culture analysis; no distinct Talk2Nature task has been approved. No reproduction exists.
- Attribution
- Merino Recalde et al. (2024), Wytham Great Tit Song Dataset, OSF DOI 10.17605/OSF.IO/N8AC9; dataset paper DOI 10.1016/j.anbehav.2024.02.008.
- Declared license
- The OSF node license relationship declares CC BY 4.0 for the dataset record.
- License scope
- The node-level dataset declaration applies to the dataset record; nested provenance and any third-party components were not independently reviewed. Article text is separately CC BY 4.0; setup code is separately MIT; 2025 analysis files and model weights were not reviewed.
- Stated conditions
- Retain dataset attribution and exact OSF DOI. Before acquisition, training or redistribution, review field definitions, identity/location sensitivity, nested provenance and intended file scope. Do not expose precise nestbox coordinates in public maps or derivatives unless a wildlife-location review establishes a need and safe handling. The dataset inventory remains metadata-only for animal recordings and annotations. The single docs/metadata/main.md file was downloaded only for integrity verification; its bytes match current OSF SHA-256 and MD5. The older local snapshot had a malformed 63-character digest. No audio, annotation or coordinate value was acquired, and the documentation text was not reviewed or redistributed.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-23
Metadata only
Author scripts for preparing/exporting the shared great-tit song dataset.
Review, rights and research limits
- Version or release
- GitHub main commit c96dc2d7ec0cc8bf6220f4aaf5dd6d9b941e5ef7; checked 2026-10-23
- What we reviewed
- Reviewed repository description/license declaration and resolved main commit. No files were cloned, inspected or executed.
- Access described in the record
- Public GitHub repository, pinned to observed commit for citation.
- Current research decision
- Record code separately from dataset and learned models. No dependency or pipeline is imported into Talk2Nature.
- Limitations
- MIT declaration applies to this code repository. It does not grant rights to OSF data, external packages, source media or weights. Related open-metric-learning code and trained weights were not reviewed.
- Attribution
- Nilo Merino Recalde, great-tit-hits-setup, commit c96dc2d7ec0cc8bf6220f4aaf5dd6d9b941e5ef7.
- Declared license
- MIT as declared by official GitHub repository.
- License scope
- Pinned setup-code repository only; data and learned models are separate assets.
- Stated conditions
- Retain copyright and permission notice if code is later reused. No code was acquired or executed.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-24
Metadata only
Related prior analysis of more than 100,000 Wytham great-tit songs and demographic change in song culture.
Review, rights and research limits
- Version or release
- Current Biology; published 2025-03-07
- What we reviewed
- Reviewed the full primary publisher article, including STAR Methods on ViT metric learning, 384-dimensional embeddings for all 109,963 songs, AMED repertoire similarity, clustering/manual song categorization and the reported ResNet50 validation procedure, plus data/code availability. Analysis files and code were not acquired or run; split independence was not independently audited.
- Access described in the record
- Open-access publisher record; article points to a separately deposited dataset and analysis/code archive.
- Current research decision
- Use as substantive prior art: deep song embeddings, repertoire similarity and demographic cultural change on this corpus have already been studied. Do not present those tasks as a new Talk2Nature contribution without a clearly distinct question.
- Limitations
- This review does not reproduce the 2025 findings or independently validate its models. The ViT embeddings were generated for all songs in the same corpus, so reusing them would not provide a strict independent held-out-individual evaluation; this is an evaluation-design inference from the methods. The reported ResNet50 validation is described on a random subset; the reviewed text did not establish bird-disjoint separation. The article's separately deposited code/data archive and their license scope were not inspected; article rights do not automatically extend to those materials.
- Attribution
- Merino Recalde et al. (2025), Current Biology, DOI 10.1016/j.cub.2025.02.016.
- Declared license
- CC BY 4.0 for article text as stated by publisher; no inference about separately deposited analysis files.
- License scope
- Article text only; data, code and weights have separate rights.
- Stated conditions
- Use an original summary and link; review data/code terms separately before reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-23
Metadata only
Comparative evidence on neural activity around bat vocal production; not a phone-audio or receiver-response benchmark.
Review, rights and research limits
- Version or release
- Communications Biology 9:699 (2026); version of record published 2026-05-22
- What we reviewed
- Reviewed the full main article through PMC, including methods, results, discussion, data/code availability and article license. Supplementary files and analysis code were not reviewed or run.
- Access described in the record
- Open-access article via publisher and PMC. No files were acquired.
- Current research decision
- Use as a source for distinguishing vocal-production signals from receiver comprehension and communicative meaning.
- Limitations
- Ten captive bats and 32 sessions; invasive head-fixed neural recording; the SVM methods do not establish animal- or session-held-out performance. No receiver response or meaning target.
- Attribution
- Babl, S.S., Röhrig, D. & Hechavarría, J.C. (2026), Communications Biology 9, 699; DOI 10.1038/s42003-026-10319-4.
- Declared license
- CC BY 4.0 for the article
- License scope
- Article text only; the linked dataset/code archive has a separate repository-level license declaration.
- Stated conditions
- Publish an original summary and citation; do not reuse figures or assume rights to linked files.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Metadata only
Paired neural and acoustic measurements supporting a bat vocal-production study.
Review, rights and research limits
- Version or release
- GIN DOI record published 2026-04-24; public archive listed at 5.8 GiB
- What we reviewed
- Reviewed the public GIN DOI landing-page description, archive size and record-level license plus the article’s data statement. No manifest or archive member was opened.
- Access described in the record
- Public GIN DOI page; archive is listed at 5.8 GiB. No download was attempted.
- Current research decision
- Keep metadata-only as comparative neuroscience material; not admitted to the first audio/context benchmark or mobile app.
- Limitations
- The published study has ten bats and 32 sessions and uses invasive neural recording with specialized ultrasonic audio. The archive manifest, file-level content, code and exact reuse terms were not reviewed.
- Attribution
- Babl, Röhrig & Hechavarría (2026), G-Node Open Data, DOI 10.12751/g-node.44wmeq.
- Declared license
- CC BY-SA 4.0 declared at GIN repository level
- License scope
- Repository-level declaration for an archive described as containing neural spike and acoustic data; individual files, code, dependencies and embedded notices were not inspected.
- Stated conditions
- Before any use, inspect the exact archive manifest and component-specific terms, set a bounded storage plan and retain source attribution.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-23
Metadata only
Author analysis and figure-generation code associated with the 2026 bat neurophysiology paper.
Review, rights and research limits
- Version or release
- GIN DOI record published 2026-04-24; repository file list not inspected
- What we reviewed
- The article states the code is in the GIN repository. The repository landing page was reviewed, but code files, dependencies, license files and execution environment were not inspected or run.
- Access described in the record
- Public GIN DOI page; the specific code files and versions remain unidentified.
- Current research decision
- Do not execute or adopt until a specific bounded task, exact file manifest, component-level rights and dependency/safety review are completed.
- Limitations
- No code revision, runtime, environment or test suite was recorded in the reviewed metadata. The repository page declares CC BY-SA 4.0 at record level, which has not been verified file by file.
- Attribution
- Babl, Röhrig & Hechavarría (2026), G-Node Open Data, DOI 10.12751/g-node.44wmeq.
- Declared license
- CC BY-SA 4.0 declared at GIN repository level; file-level scope unverified
- License scope
- No individual script or dependency was inspected; the record may bundle code with data under one repository declaration.
- Stated conditions
- Verify exact script, dependencies and license notices before reuse or execution.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-23
Metadata only
Prior-art reference for local edge-based detection and long-term quantification of budgerigar vocal activity; not a communication-meaning task.
Review, rights and research limits
- Version or release
- Animals 16(20), 3246; publisher lists publication date 2026-10-15 and early-access status
- What we reviewed
- Reviewed publisher early-access record and abstract only. Direct full-page request was rate-limited; detailed methods, validation, ethics, data availability and model artifacts were not inspected.
- Access described in the record
- Publisher record is public and displays an Open Access label; the complete article was not accessible in this review. No study data, code or model files were acquired.
- Current research decision
- Use as evidence that long-duration local vocal-activity monitoring is prior art. Do not claim the recording-station concept itself as novel; require a clearly distinct and validated contribution before building a model comparison.
- Limitations
- The abstract does not establish event-level accuracy, false-positive rates, caller identity, independently observed behavior, receiver response, comprehension or meaning. Article, data, code and model-weight rights are separate; only the abstract was reviewed and the exact article reuse license was not confirmed.
- Attribution
- Agishev, A. et al. (2026), Animals 16(20), 3246; DOI 10.3390/ani16203246.
- Declared license
- Publisher displays Open Access; exact article reuse license not verified. No data/code/model license established.
- License scope
- Citation/abstract only; recordings, labels, code, pretrained YAMNet assets and custom weights were not reviewed.
- Stated conditions
- Cite and link only. Review exact component terms before any reuse or execution.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-23
Metadata only
Methods candidate for vocal-activity detection, overlapping-call source separation, audio-visual synchronization or active-speaker attribution using verified zebra-finch vocal events.
Review, rights and research limits
- Version or release
- Hugging Face dataset revision bb31f73e2191278dd4965af01502c42380cd597d; provider last-modified date 2026-05-06; reviewed 2026-10-23
- What we reviewed
- Reviewed the pinned provider card, API metadata, bucket schemas/counts, task suggestions, rights notice, linked code/split documentation and current pinned Git tree as text/metadata. No media, Parquet, executable code or model weights were acquired or run.
- Access described in the record
- Public dataset card lists 41,193 bucket rows and 167 GB total. The overlap_padded bucket repeats overlap events with additional context. No files were downloaded or inspected.
- Current research decision
- Metadata-only candidate for narrowly defined signal-processing tasks. It is not a meaning, receiver-response or independently observed social-context dataset, and it is not ready for a Talk2Nature run because the linked training imports are absent from the reviewed code tree and the advertised bird-held-out path remains unaudited.
- Limitations
- Same ten zebra finches and three experiments as V33DA; no independent cohort expansion. Overlap includes 3,784 rows, padded includes 33,625 events, and overlap_padded repeats the 3,784 overlap events. The controlled recording setup does not establish phone/home generalization. Accelerometer channels provide oracle caller labels and are not valid model inputs. Provider license is a declaration, not independent clearance; reference code, preprocessing tools, weights and manuscript have separate terms.
- Attribution
- V33DA author team, V33DA++: Overlapping-Call and Long-Context Companion to V33DA, Hugging Face dataset revision bb31f73e2191278dd4965af01502c42380cd597d; associated 2026 V33DA manuscript listed as under review.
- Declared license
- CC BY 4.0 declared on the pinned Hugging Face dataset card.
- License scope
- Dataset card declaration only. The GitHub reference code is MIT-licensed; preprocessing tools, manuscript, model weights and third-party components are separate.
- Stated conditions
- Preserve attribution and identify changes if later reuse is approved. Review component provenance and intended use separately; this metadata record authorizes no acquisition, training or redistribution.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Candidate source of selected zebra-finch interaction recordings and processed outputs for acoustic call-timing research; not a verified copy of the complete study corpus and not admitted for training.
Review, rights and research limits
- Version or release
- Zenodo record 23047646; published 2026-09-30; no explicit version field
- What we reviewed
- Queried the official Zenodo API over verified TLS. The top-level inventory lists 11 files, including four raw example FLAC recordings, processed_data.zip, voxaboxen_data.zip, two model archives, a pipeline ZIP and metadata. No file payloads or archive internals were downloaded or inspected; provider checksums were not locally verified.
- Access described in the record
- Public API metadata lists four raw recordings totaling approximately 43.5 GB plus processed-data, detector-data and model archives. The file description calls these four raw tracks examples. It does not establish that the complete 1.5-million-call study corpus is present.
- Current research decision
- Keep metadata-only. The Zenodo API license field declares CC BY-SA 4.0, but the record description says the data are under a CC BY-NC license. Do not acquire, train, redistribute or commercialize the data until the terms conflict and component scope are clarified.
- Limitations
- This record is separate from the 26.6 GB code/model ZIP at Zenodo record 23024019. Its inventory does not expose archive contents or prove the processed tables cover the full study. The record includes third-party model components; source-media provenance, annotation semantics, birds/session mapping and individual-disjoint split remain unreviewed. No independent review or reproduction exists.
- Attribution
- James et al. (2026), Data for ZF-AIM, Zenodo DOI 10.5281/zenodo.23047646; related preprint DOI 10.64898/2026.02.12.705387.
- Declared license
- Conflicting declarations: Zenodo API metadata field cc-by-sa-4.0; record description says CC-BY-NC. Resolve before use.
- License scope
- Raw recordings and processed/detector data are distinct from the included code and model weights. The record also lists BirdMixIT checkpoints with a separate Apache-2.0 notice. No embedded per-file terms were inspected.
- Stated conditions
- No acquisition or execution until the deposit maintainers clarify the license conflict, exact component scope and provenance. Preserve source DOI and a separate license record for each artifact if later admitted.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-24
Metadata only
Primary source for trained zebra-finch call-category discrimination and the paper's published comparison of acoustic-classifier versus behavioral confusion matrices; a basis for a possible modern-representation extension, not a novel basic confusion-alignment question.
Review, rights and research limits
- Version or release
- Science 389(6766):1210–1215 (2025); DOI 10.1126/science.ads8482
- What we reviewed
- Full PMC-indexed article text, including Figure 4 and data-availability statement, reviewed alongside the institutional copy, versioned records, authors' README and the 2026 BirdAVES article. The model-versus-behavior confusion comparison is present in the original paper; no archive payload or analysis was reproduced.
- Access described in the record
- Public peer-reviewed article and an institutional repository copy. The two copies cite different Zenodo record numbers for behavioral data and code.
- Current research decision
- Keep as a strong perception-methods lead. Basic model/behavior confusion alignment is already published. Consider only a reviewer-approved test of whether a modern pretrained representation adds alignment beyond the published acoustic LDA, using exact matched calls and vocalizer-held-out evaluation.
- Limitations
- The task is trained, closed-set discrimination of researcher-defined call types, not open conversation or translation. A category-matrix reproduction may use published derived confusion tables if their exact version and rights permit. A raw-audio model extension needs verified Figshare file-to-call-label and vocalizer mapping; the relationship between the 3,433 files, the article's reported renditions and the 2026 BirdAVES inputs is unresolved.
- Attribution
- Elie et al. (2025), Science 389(6766):1210–1215, DOI 10.1126/science.ads8482.
- Declared license
- Article license not audited; Talk2Nature publishes an original summary and links only.
- License scope
- Published article and supplementary material; no article text or figures reproduced.
- Stated conditions
- Use the source links and citation. Review any article or supplementary-material reuse separately.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-25
Metadata only
Potential source for behavioral responses and acoustic analysis. The separate public GitHub README describes per-bird behavioral data and leave-one-vocalizer-out LDA confusion matrices, which the 2025 paper uses in its published acoustic-versus-behavioral comparison; archive contents/version must be verified separately.
Review, rights and research limits
- Version or release
- Paper-cited Zenodo version 1.0, DOI 10.5281/zenodo.13623969 (30,929,664-byte initial-submission archive, 2024-08-31; provider MD5 5ab1934fd3b07a97eb68501f39670865); later version 3.0 resubmission, record 15795568, DOI 10.5281/zenodo.15795568 (99,341,119 bytes, 2025-07-03; provider MD5 eb041f1c9928a7feadb206ef955168e6). Provider checksums were not locally recomputed.
- What we reviewed
- Official Zenodo API metadata refreshed over verified TLS for records 13623969 and 15795568 on October 25, 2026. The API reports version, dates, sizes, record-level CC BY 4.0 and MD5 checksums. Separately reviewed the author GitHub README describing behavioral trial/confusion tables and LDA matrices. No Zenodo files, repository code or data payload was acquired or inspected.
- Access described in the record
- Public Zenodo metadata describes two versioned ZIPs, their sizes and provider MD5s; record-level metadata declares CC BY 4.0. API checksum values are not locally verified. The exact release bundle supporting the final analyses and per-component rights remain unknown.
- Current research decision
- Metadata-only. The paper-cited version is v1, but the exact release bundle supporting the final published analyses is not verified. Confirm the archive contents and component rights before reproducing published tables. Any modern raw-audio extension additionally requires a file-to-call/vocalizer mapping and must add value beyond the published comparison.
- Limitations
- The final PMC Science article cites versioned record 13623969 (v1); the UC Berkeley copy cites concept DOI 13623968, which resolves to later version 3.0 at record 15795568. This clarifies the DOI lineage but does not establish which archive contains the final analysis artifacts. The repository README is a separate source and does not prove the selected ZIP contains those artifacts. Archive contents and component provenance remain uninspected; record-level CC BY 4.0 declarations do not settle embedded assets or the unlicensed GitHub repository. The official API reports provider MD5 values for the v1 and v3 ZIPs, but they have not been recomputed locally and the ZIP payloads remain uninspected.
- Attribution
- Elie et al. (2025), data and code for the call-type perception study. Paper-cited Zenodo version 1.0: DOI 10.5281/zenodo.13623969; later version 3.0 resubmission: DOI 10.5281/zenodo.15795568.
- Declared license
- CC BY 4.0 declared at Zenodo record level.
- License scope
- The described data-and-code archive; contents and component provenance were not inspected.
- Stated conditions
- The paper cites v1, while a later v3 resubmission exists. Verify exact analysis files and per-component rights before reuse; preserve version-specific attribution and identifiers if reuse is approved.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Public zebra-finch audio library with age, individual, date and manually assigned vocal-type information in filenames; potentially suitable for a small call-category inventory and bounded classification study after exact sample linkage review.
Review, rights and research limits
- Version or release
- Figshare version v1; DOI 10.6084/m9.figshare.11905533.v1; posted 2020-02-26
- What we reviewed
- Figshare landing page and public v1 API metadata reviewed. The one-page Library_notes.pdf was acquired through the bounded collector, visually inspected and text-extracted; its provider MD5 matched locally. The two WAV archives remain unacquired and their payloads, internal manifests and labels were not inspected. See research/zebra_finch_figshare_manifest_2026-10-24.json.
- Access described in the record
- Public Figshare deposit collected at UC Berkeley between 2011 and 2014. The notes describe adult and juvenile birds, 11 manually assigned vocal-type codes, and filenames encoding individual, date, type and rendition. A WAV may contain a vocalization or sequence; expected filename discrepancies are noted.
- Current research decision
- Retain as a candidate for a bounded call-category methods audit after independent review of the exact task, file unitization, overlap with published analyses and bird/session holdout plan. It is not a communication-meaning benchmark. No audio or model was acquired/run.
- Limitations
- Captive-colony recordings do not represent all zebra finches or ordinary phone recordings. The notes warn of filename discrepancies and allow multi-call sequences. Exact audio inventory, call-level label reliability, coverage of the 2025 discrimination stimuli, paper/archive count reconciliation and independent-bird generalization remain unverified. Call-type labels are not direct meanings.
- Attribution
- Julie Elie and Frédéric E. Theunissen, Vocal repertoires from adult and chick, male and female zebra finches, Figshare DOI 10.6084/m9.figshare.11905533.v1.
- Declared license
- CC BY 4.0 declared by Figshare.
- License scope
- The Figshare v1 item declares CC BY 4.0. Library_notes.pdf was inspected; WAV archive contents, provenance and embedded material remain unreviewed and were not downloaded.
- Stated conditions
- Preserve attribution, link the license, identify changes and confirm exact files and components before reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-25
Metadata only
Published frozen-BirdAVES multi-task baseline predicting 11 supplied zebra-finch call types and six behavior-derived functional/semantic categories.
Review, rights and research limits
- Version or release
- Machine Learning and Knowledge Extraction 2026, 8(10), 318; published 2026-10-08; DOI 10.3390/make8100318
- What we reviewed
- Publisher-hosted article sections and version history reviewed on October 24. On October 25, the publisher-indexed title and results excerpt were rechecked; direct article retrieval returned HTTP 429, so no new full-text review is claimed. Official Figshare and Zenodo version/file metadata were refreshed over verified TLS. No payload, code or weights acquired; no model reproduced.
- Access described in the record
- Public open-access publisher article; the journal specifies CC BY 4.0 for the article. It points to the Figshare vocal library, whose landing page describes 3,433 WAVs and a filename convention with known discrepancies. The article reports 50 birds; the 2016 source paper reports 45 birds. No article-specific supplement is listed.
- Current research decision
- Use as prior art and a possible reproducibility baseline only. Behavior-derived semantic supervision is already implemented in this multi-task paper; plain classification or that supervision is not a Talk2Nature novelty claim. Keep metadata-only pending source-file/count reconciliation, exact BirdAVES identification and terms, component-rights review and independent scientific/statistical review.
- Limitations
- One predefined bird-level partition; only three DistressCall items in test; controlled-colony recordings; no naturalistic validation or direct receiver-response outcome. The six broader labels are supervised targets, not model-discovered semantics. Input-unit and bird-count differences across versions are unresolved. Article, dataset, code and model-weight rights are distinct. The paper's behavior-derived semantic hierarchy is a supervised auxiliary target, not a direct item-level comparison to receiver birds' measured confusion responses. The exact Figshare file-to-paper and 2025 trial mappings remain unverified.
- Attribution
- Petra Radočaj and Dorijan Radočaj, Machine Learning and Knowledge Extraction 8(10), 318 (2026), https://doi.org/10.3390/make8100318.
- Declared license
- CC BY 4.0 as stated in the MAKE journal publication policy.
- License scope
- The scholarly article and publisher-listed supplement. This does not grant rights to the source dataset, author code, BirdAVES weights or embedded third-party material.
- Stated conditions
- Attribute the authors and publication and indicate changes. Verify third-party content separately; inspect code, source data and exact model weights under their own terms before use.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-24
Metadata only
Foundational repertoire and acoustic-feature study used to contextualize the current dataset and call taxonomy.
Review, rights and research limits
- Version or release
- Animal Cognition 19(2), 285–315 (2016); DOI 10.1007/s10071-015-0933-6
- What we reviewed
- PubMed abstract and indexed PMC excerpts on the sample and preprocessing counts reviewed; no supplementary media acquired.
- Access described in the record
- Public PubMed/PMC record; study reports 45 birds, 3,405 vocalization bouts and 8,136 segmented calls and song syllables.
- Current research decision
- Retain as count/provenance context. Do not assume it fully describes the later 3,433-file Figshare deposit or the 2026 classifier subset without a file-level reconciliation.
- Limitations
- Historical controlled-colony recordings and observer-assigned categories; this review did not inspect the full audio archive or reproduce the original analyses.
- Attribution
- Julie E. Elie and Frédéric E. Theunissen, Animal Cognition 19 (2016), DOI 10.1007/s10071-015-0933-6.
- Declared license
- Article reuse terms not checked; cite and link only.
- License scope
- The scholarly article. No article text or figures are reproduced.
- Stated conditions
- Verify publication reuse terms and the separate dataset rights before reuse.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Model · Catalog reviewed 2026-10-24
Metadata only
Pretrained BirdAVES weights used as a frozen audio-embedding input in the 2026 zebra-finch classifier.
Review, rights and research limits
- Version or release
- Official README reviewed 2026-10-24; repository notes migration to AVEX; exact 2026-paper variant unresolved.
- What we reviewed
- Official README model table, BirdAVES description, migration notice and batching warning reviewed; no code or weights downloaded.
- Access described in the record
- Official GitHub documentation points to downloadable model configurations and weights and says AVES/BirdAVES has moved to the actively maintained AVEX package. Exact variant used in the article was not established.
- Current research decision
- Do not acquire or run as part of this milestone. First identify the precise BirdAVES variant and weight revision, its pretrained-data provenance and independent weight terms.
- Limitations
- The paper’s author code, AVEX library code, pretrained weights and training corpora have distinct rights. The exact BirdAVES variant and its license were not resolved; generic repository availability is not permission to redistribute or use commercially.
- Attribution
- Earth Species Project, AVES/BirdAVES official repository documentation; see the current AVEX migration notice.
- Declared license
- Unresolved for the exact BirdAVES pretrained weights and configuration used in the 2026 paper.
- License scope
- Model checkpoint/weight files and associated model-specific terms. This record excludes AVEX source code, the paper and input audio data.
- Stated conditions
- Resolve exact variant and revision, inspect the current model card and terms, and verify training-data and use restrictions before download or execution.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-24
Metadata only
Provides code for loading animal-audio encoders, extracting embeddings and training/evaluating downstream probes; the AVES repository states that BirdAVES moved to AVEX.
Review, rights and research limits
- Version or release
- Official repository reviewed 2026-10-24; pin a commit before any future reproduction.
- What we reviewed
- Official README, repository file listing and MIT license statement reviewed. No code was downloaded or run; compatibility with the exact 2026-paper BirdAVES checkpoint was not tested.
- Access described in the record
- Public GitHub repository. The repository README declares MIT for its library code. Model weights and source datasets are separate resources with separate terms.
- Current research decision
- Potential code dependency for a future reproduction only after pinning the commit, verifying exact BirdAVES support and matching preprocessing to the paper. This is not the classifier authors’ training-code release.
- Limitations
- An MIT license on the AVEX code does not grant rights to pretrained checkpoints or the corpora used to train them. The paper’s own experiment code was not located during this review.
- Attribution
- Earth Species Project, AVEX Animal Vocalization Encoder Library; official GitHub repository.
- Declared license
- MIT declared by the AVEX repository for its code.
- License scope
- The source code in the AVEX repository only; no pretrained model weights or source datasets are covered by this record.
- Stated conditions
- Retain the MIT copyright and license notice if redistributing covered code. Verify the pinned commit and component boundaries; inspect weights and training-data terms separately.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-24
Metadata only
Describe shared acoustic structure across passerine songs and relate motif distributions to species traits and sound-propagation conditions.
Review, rights and research limits
- Version or release
- Bacquelé et al., Science 393(6809):381–386; published 2026-07-23; PMID 42490479
- What we reviewed
- PubMed abstract and bibliographic record reviewed. Full article methods, figures and supplement were not reviewed; no result was independently reproduced.
- Access described in the record
- PubMed abstract and publisher DOI record; no article PDF, supplementary material or study files acquired.
- Current research decision
- High-value prior art for large-scale cross-species acoustic structure. It does not test receiver comprehension or translate call meanings.
- Limitations
- The full sampling, methods, recording inventory, model details and evaluation splits remain unreviewed. The study is not a Talk2Nature result or semantic communication benchmark.
- Attribution
- Bacquelé Q, Barnagaud J-Y, Violle C, Theunissen F, Mathevon N (2026). Science 393(6809):381–386. DOI 10.1126/science.aee6239.
- Declared license
- Article license not checked in this metadata-only review.
- License scope
- Talk2Nature stores an original short summary and citation only; no article text, figures or supplement are copied.
- Stated conditions
- Verify publisher terms before any reuse of article content or figures. Treat code, derived data and source recordings separately.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-24
Metadata only
Author-listed scripts for acoustic feature extraction, motif clustering, phylogenetic and spatial models, and figures for the 2026 paper.
Review, rights and research limits
- Version or release
- main pinned to 1629e665f902cad405ff2f7bf2a0e9dc8c09b47e on 2026-10-24
- What we reviewed
- Public root/README and recursive GitHub API tree metadata reviewed at the pinned commit. The non-truncated tree lists 1,456 tracked files, including 1,280 audio segments totaling 185,758,300 bytes, a 12,796,164-byte metadata_xeno_passerines.csv and a 79,543,989-byte traits_data.csv. No file contents, source code, audio or dependency code were fetched or run. A follow-up filename-only screen matched all 1,280 audio paths to numeric-ID-like tokens and found 495 distinct candidates; three candidate record pages were spot-checked, with variable terms, but no complete join or license inventory. Official API documentation requires a key and warns of strict rate limits; no key or bulk API query was used.
- Access described in the record
- Public GitHub repository. The pinned tree lists 1,280 audio-segment payloads in data/selected_data_8x8x20_top/ and processed acoustic/spatial files. README cites the literal placeholder Zenodo DOI 10.5281/zenodo.XXXXXXX.
- Current research decision
- Reference only. Do not acquire the audio subset or execute/copy code until repository license scope, underlying recording-level terms, dependencies and source-data provenance are verified.
- Limitations
- The tree contains no standalone LICENSE file. README states CC BY 4.0 but does not define its scope across author code, derived files, metadata and third-party Xeno-canto audio. The 1,280 audio-file count is not a count of verified unique recordings; the source-ID joins and item-level licenses have not been inspected. The cited data DOI is unresolved. Numeric filename tokens are not a verified full record manifest: only three pages and one filename/taxon match were checked, and study membership remains unknown. No location fields were extracted or retained.
- Attribution
- Quentin Bacquelé et al., global passerine song biogeography analysis repository, pinned commit 1629e665f902cad405ff2f7bf2a0e9dc8c09b47e.
- Declared license
- Repository README states CC BY 4.0; component scope remains unresolved and no standalone LICENSE file was visible in the root listing.
- License scope
- The pinned tree lists source code, derived acoustic/geographic tables, a 12.8 MB Xeno-canto metadata CSV and 1,280 audio segments. The README's repository-level statement does not establish terms for each underlying recording.
- Stated conditions
- Resolve a versioned data record, exact filename-to-source joins and component-specific terms before acquisition, execution, commercial use or redistribution. Only the recursive tree metadata was queried; no repository file content was copied.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Global bird-sound discovery and metadata reference; not a behavior or receiver-response benchmark.
Review, rights and research limits
- Version or release
- GBIF record doi:10.15468/qv0ksn; listing published 2026-09-24; metadata reviewed 2026-10-24
- What we reviewed
- Reviewed the GBIF dataset description and metadata record plus two unrelated Xeno-canto recording pages to verify that audio has record-level terms. No occurrence rows, recordings or source files acquired. A separate metadata-only screen of the global passerine repository's filename tokens found 495 candidates among 1,280 paths; three public record pages showed two CC BY-NC-ND 4.0 and one CC BY-NC-SA 4.0. This sample does not establish corpus membership or a complete license distribution. The official API documentation requires a key and warns of strict rate limits.
- Access described in the record
- GBIF describes a metadata subset of Xeno-canto; its page lists 924,259 occurrence records, 10,316 species and associated media. This count describes the GBIF metadata record, not a verified downloadable audio corpus.
- Current research decision
- Use as a discovery/reference source. For any audio task, freeze exact Xeno-canto recording IDs, verify each license and attribution, and evaluate whether terms permit the intended research and commercial use.
- Limitations
- The GBIF CC BY-NC 4.0 dataset declaration applies to the GBIF metadata distribution, not automatically to the underlying recordings. Xeno-canto pages show different item-level licenses. The 2026 paper's exact source IDs and recording-level rights were not mapped. The study's 495 candidate filename IDs are not fully joined to XC records; only three examples were checked. Do not bulk-scrape or treat the sample as a rights census.
- Attribution
- Vellinga WP, Planqué B, Vellinga W (2026). Xeno-canto – Bird sounds from around the world. Xeno-canto Foundation for Nature Sounds. GBIF dataset DOI 10.15468/qv0ksn.
- Declared license
- GBIF dataset metadata record declares CC BY-NC 4.0; source audio rights are governed by the terms displayed for each individual Xeno-canto recording.
- License scope
- Metadata distribution only for the GBIF license. This record does not grant a blanket license to audio or downstream model weights.
- Stated conditions
- Do not assume all source recordings are commercially reusable or suitable for model training. Preserve per-record attribution and license conditions after exact membership is established.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-24
Metadata only
Describes synchronized multi-sensor recording and vocal-event/source-separation methods for songbird groups.
Review, rights and research limits
- Version or release
- PeerJ 13:e20203; published 2025-11-10
- What we reviewed
- PubMed article metadata and abstract, selected searchable PMC passages on the shared-clock recording system and vocal segmentation, and the ETH publication record's article-rights statement reviewed. Full article and supplement, code and data were not inspected or acquired.
- Access described in the record
- Open-access article record; only citation and an original summary are retained in Talk2Nature.
- Current research decision
- Use as a methods reference for multimodal synchronization and event/source attribution, not as evidence of semantic decoding or receiver understanding.
- Limitations
- The article describes a specialized laboratory setup with cameras, multiple microphones and body-worn accelerometer transmitters. Its paper license does not grant rights to separate data deposits, software or model weights. Reported event-segmentation evaluation is not a meaning benchmark.
- Attribution
- Rüttimann, L. et al. (2025). PeerJ 13:e20203. DOI 10.7717/peerj.20203.
- Declared license
- CC BY 4.0 as listed for the article by the ETH Research Collection.
- License scope
- Article only. Dataset deposits, annotations, media, software and model weights have separate rights.
- Stated conditions
- Cite the article and identify adaptations if any article material is reused. Do not infer dataset or code permission from the paper license.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Potential methods reference for multimodal vocal-event segmentation, overlap review and caller attribution in controlled zebra-finch groups.
Review, rights and research limits
- Version or release
- Zenodo record 13144875 v2; published 2024-08-08; reviewed 2026-10-24
- What we reviewed
- Exact Zenodo v2 landing-page description and file inventory reviewed. The page reports 112 minutes from four experiments, group sizes of two, four and eight, and manually annotated vocal segments. No file payload, annotation, README, video or audio was acquired or inspected.
- Access described in the record
- The record lists Data.zip at 12.3 GB, Attachments.zip at 292.6 kB, README.pdf at 59.5 kB and segments.h5 at 1.9 MB. These are provider-listed files; no bytes were acquired or locally hashed.
- Current research decision
- Keep metadata-only. The Zenodo record page does not display a dataset license. No acquisition, training or redistribution is cleared. Treat this as a candidate for bounded event/source methods only, subject to rights, exact coverage and group-split review.
- Limitations
- The 112-minute record description is not reconciled with the 28-minute segmentation evaluation slice reported in a searchable passage of the peer-reviewed paper. The relationship to the separate 2026 annotator pack and ETH ten-pair record is unverified. The laboratory sensors and groups do not establish phone/home generalization or call meaning.
- Attribution
- BirdPark group-recording dataset, Zenodo record 13144875 v2; associated system paper Rüttimann et al. (2025), DOI 10.7717/peerj.20203.
- Declared license
- No dataset license is displayed on the exact Zenodo v2 record page reviewed on 2026-10-24.
- License scope
- Dataset record 13144875 v2 and its listed files only; absence of a displayed license is not a permission grant.
- Stated conditions
- Do not acquire or reuse until the rights holder or authoritative record clarifies permitted research use, commercial use, redistribution and component coverage.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Annotation-training and vocalization-segmentation reference; not a complete behavioral-meaning corpus.
Review, rights and research limits
- Version or release
- Zenodo record 20608098 v2; published 2026-06-09; reviewed 2026-10-24
- What we reviewed
- Exact Zenodo v2 record description and file inventory reviewed. The authors state that Pair_example_wav.zip contains test files for annotators using the guide. No PDF, CSV, audio or archive payload was acquired or inspected.
- Access described in the record
- The record lists Pair_example_wav.zip at 4.5 GB, a 41.0 MB ZF_pairs.wav, a 167.6 kB Vocalizations.csv, a 29.7 MB annotation guide PDF and a 1.5 kB BirdList_pair.csv. Sizes and MD5 values are provider-reported only.
- Current research decision
- Keep metadata-only. The record page has no displayed dataset license. The guide and annotations may help design a future human annotation workflow, but their use is not cleared and the listed pair files are not a locked independent benchmark.
- Limitations
- This is an annotator-training pack, not the full analyzed corpus. The record links to the 2025 PeerJ system paper and describes lab recordings with synchronized cameras, microphones and body-worn accelerometers. It does not label receiver comprehension or call meaning. Its relationship to the other BirdPark Zenodo and ETH records is not reconciled.
- Attribution
- BirdPark paired annotation examples, Zenodo record 20608098 v2; related system paper Rüttimann et al. (2025), DOI 10.7717/peerj.20203.
- Declared license
- No dataset license is displayed on the exact Zenodo v2 record page reviewed on 2026-10-24.
- License scope
- Dataset record 20608098 v2 and its listed files only; absence of a displayed license is not a permission grant.
- Stated conditions
- Do not acquire or reuse until authoritative terms clarify research use, commercial use, redistribution and the rights to each file component.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Potential non-commercial methods reference for audio/accelerometer vocal segmentation and overlapping-call analysis across ten mixed-sex pairs.
Review, rights and research limits
- Version or release
- ETH Research Collection dataset record; dated 2025-12-18; reviewed 2026-10-24
- What we reviewed
- Reviewed the institutional record's abstract, date, contributors and displayed rights label. No dataset-description PDF, media, annotations or recording payload was acquired or inspected.
- Access described in the record
- The institutional record describes 10 freely behaving pairs (20 individual birds) and manually annotated examples of clean and overlapping calls. Files are linked externally; their inventory and exact sample coverage were not inspected.
- Current research decision
- Metadata-only. The repository labels the data In Copyright - Non-Commercial Use Permitted. Do not treat this as an open license or permission for commercial model training, redistribution or product use; clarify exact conditions before any research reuse.
- Limitations
- This is an ETH dataset record distinct from the Zenodo deposits until exact overlap and version relationships are established. Annotated vocal segments support event/source tasks, not receiver response or semantic decoding. The recording system is specialized and laboratory-based.
- Attribution
- Akahoshi, M., Wang, Y. & Hahnloser, R. (2025). Zebra Finch Mixed-Sex Pair Recordings with Manually Annotated Clean Non-overlapping/Overlapping Vocal Segments. ETH Zurich Research Collection, DOI 10.3929/ethz-c-000788603.
- Declared license
- In Copyright - Non-Commercial Use Permitted as stated by the ETH Research Collection.
- License scope
- Dataset record only. The paper and related Zenodo records have separate rights declarations.
- Stated conditions
- Clarify the exact non-commercial terms, access conditions and permitted research processing with the rights holder before use; do not redistribute or use in a commercial product without permission.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-24
Metadata only
Compare acoustic vocal-unit clustering by experts, automated embeddings and human-refined suggestions, using adjusted Rand index, normalized mutual information and reported annotation time.
Review, rights and research limits
- Version or release
- Lee et al., Applied Sciences 16(2), 810; published 2026-01-13; DOI 10.3390/app16020810
- What we reviewed
- Full 15-page article and ETH repository rights record reviewed. Results, data statement, acknowledgments and split design recorded; no data, supplements or figures were reproduced or reanalyzed.
- Access described in the record
- Full article text reviewed through the ETH Zurich Research Collection. The authors report 1,454 vocalizations from three isolated zebra finches, independently clustered by three experts per bird. No dataset, supplement or code payload was acquired or executed.
- Current research decision
- Useful prior art for a human-in-the-loop annotation workflow. The clusters describe acoustic similarity; the study does not test receiver response, behavioral meaning, call translation or generalization to unseen birds.
- Limitations
- Reported semi-automated ARI/NMI are 0.73/0.81 versus 0.78/0.83 for manual expert-to-expert comparison and 0.62/0.71 for fully automated clustering. The authors report about 90 minutes per bird for manual work versus 45 minutes for proofreading. The 80/20 vocalization split is within each bird-and-annotator combination, not an unseen-bird test; the nine combinations cover only three birds. These claims are not reproduced by Talk2Nature.
- Attribution
- Lee, K., Basha, M., Zai, A. T. & Hahnloser, R. H. R. (2026). Applied Sciences 16(2), 810. DOI 10.3390/app16020810.
- Declared license
- CC BY 4.0 as listed for the article by the ETH Zurich Research Collection.
- License scope
- Article only. The three Zenodo records, GitHub software, WhisperSeg and Whisper embedding weights each have separate terms.
- Stated conditions
- Cite the article and identify adaptations if article material is reused. Do not infer data, code or model-weight permission from this article license.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Potential sample for evaluating acoustic cluster labeling and human annotation workflow; not a behavior-context or communication-meaning dataset.
Review, rights and research limits
- Version or release
- Zenodo record 18156254 v1; published 2026-01-05; later version 22657329 belongs to concept record 18156253
- What we reviewed
- Exact record page, API metadata and version endpoint reviewed. The article data statement cites this record. The 345,961,018-byte archive and provider MD5 were recorded from metadata only; no file was acquired.
- Access described in the record
- Zenodo v1 data.zip; provider MD5 d35c7da497487d73079bf7d72821a1dd. Record metadata describe processed audio and HDF5 annotations; no sample was opened.
- Current research decision
- Keep metadata-only until the exact paper-to-archive contents, third-party source-audio scope and version differences are reconciled. The Zenodo API declares CC BY 4.0 for this record, but that does not resolve rights for any underlying source material or another version.
- Limitations
- The article describes 1,454 calls from three isolated birds, with labels for acoustic clustering. The paper's data statement cites this v1; the later v2 is a different DOI and larger archive. No human receiver responses or behavioral-context labels are described.
- Attribution
- Lee et al. Zebra Finch Vocalization Dataset for Semi-Automated Clustering, Zenodo DOI 10.5281/zenodo.18156254, v1.
- Declared license
- CC BY 4.0 declared in the Zenodo record API on 2026-10-24.
- License scope
- Record 18156254 v1 and its data.zip only; it does not license the paper, the separate 18100613 concept, later v2 content, external models or code.
- Stated conditions
- Before acquisition or training, verify that all included audio and expert annotations are covered by the depositor's grant. The paper acknowledges permission to use a subset of an external dataset; map that subset and confirm its reuse scope.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Potential sample for annotation-efficiency and expert-clustering agreement methods; not a communication-meaning benchmark.
Review, rights and research limits
- Version or release
- Zenodo record 22657329 v2; published 2026-09-08; API conceptrecid 18156253, same series as paper-cited 18156254 v1
- What we reviewed
- Exact v2 record page, record API and version endpoint reviewed. The API lists data.zip at 348,884,000 bytes with provider MD5 f152c8e64de140a8aabe458a7d7cfcc1. No archive was downloaded or inspected.
- Access described in the record
- Record description lists WAV files, segmentation, embeddings, automated clusterings and expert manual/semi-automated annotations for three juvenile male zebra finches. The listed archive is about 348.9 MB.
- Current research decision
- Keep metadata-only. The API declares CC BY 4.0, while the data version analyzed by the paper and the record-level provenance of source audio still need confirmation. The same-title record 18100613 has a different concept ID despite being named as a prior publication in the v2 note.
- Limitations
- This v2 record was published after the article and is not assumed byte-equivalent to paper-cited v1. Three birds do not establish species-level robustness; the paper's split holds out calls within birds, not entire birds. Acoustic clusters are not behavioral labels or meanings.
- Attribution
- Lee et al. Zebra Finch Vocalization Dataset for Semi-Automated Clustering, Zenodo DOI 10.5281/zenodo.22657329, v2.
- Declared license
- CC BY 4.0 declared in the Zenodo record API on 2026-10-24.
- License scope
- Record 22657329 v2 and its data.zip only. The rendered record's rights section did not show a license string in the reviewed page; the API metadata did. This does not establish rights to source audio from another dataset, the paper, software or model weights.
- Stated conditions
- Reconcile the record note and API version chain with the data statement and underlying source-audio permissions before acquisition, training or redistribution. Preserve the v1/v2 distinction and provider checksums.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Related provenance lead; no task-specific equivalence to the paper-cited sample has been established.
Review, rights and research limits
- Version or release
- Zenodo record 18100613; published 2025-12-30; API conceptrecid 18100612, distinct from paper-cited concept 18156253
- What we reviewed
- Exact record page and API metadata reviewed. The 250,405,192-byte archive and provider MD5 were recorded only; no payload or version comparison was performed.
- Access described in the record
- Zenodo data.zip; provider MD5 179e4814df2d0b42a10b5e8c3709df70. The newer v2 description calls this a prior publication, while the API associates it with a different concept record.
- Current research decision
- Keep as a separate metadata-only record. Do not merge counts, call it the article's dataset, or assume its license covers files in the paper-cited version chain.
- Limitations
- Same title is not proof of same data. The record has a different concept ID and archive size from the paper-cited v1/v2 series. The exact relationship requires clarification from the record owners.
- Attribution
- Zenodo record 18100613, Zebra Finch Vocalization Dataset for Semi-Automated Clustering.
- Declared license
- CC BY 4.0 declared in the Zenodo record API on 2026-10-24.
- License scope
- Record 18100613 and its data.zip only.
- Stated conditions
- Do not infer overlap or permission across the separate Zenodo concept records. Confirm record provenance and underlying source-audio rights before intended use.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-24
Metadata only
Reference for a researcher-facing audio-cluster review workflow with spectrogram inspection, human correction, uncertainty tags and HDF5 export.
Review, rights and research limits
- Version or release
- GitHub commit 5b6f8f0a9783546532e3a2bef76ad12930a2eb56, checked 2026-10-24
- What we reviewed
- Pinned README, root requirements and LICENSE reviewed. The repository was not cloned or executed, and transitive dependencies and referenced model assets were not fully audited.
- Access described in the record
- Public GitHub repository. README and root requirements/LICENSE were reviewed at the pinned commit; code and preprocessing dependency set were not fully inspected or run.
- Current research decision
- Potential UX and workflow reference for keeping model suggestions reviewable. Do not copy or integrate until code quality, full dependency licenses and model/data asset lineage have been reviewed.
- Limitations
- The GUI expects researchers to inspect UMAP clusters and spectrograms. It is not a novice phone workflow, and its clustering labels are not communication meanings. The MIT license applies to the repository code only.
- Attribution
- Kanghwi Lee, Semi-Automated Clustering, GitHub, commit 5b6f8f0a9783546532e3a2bef76ad12930a2eb56.
- Declared license
- MIT as declared by the pinned GitHub repository LICENSE file.
- License scope
- Code at the pinned repository revision only. Dependencies, WhisperSeg, Whisper embeddings and animal recordings have separate rights.
- Stated conditions
- Preserve MIT notice if covered code is reused; audit transitive dependencies and model licenses before redistribution or execution.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Model · Catalog reviewed 2026-10-24
Metadata only
The model card identifies this CTranslate2 checkpoint as an animal voice-activity segmentation model used by the paper's preprocessing workflow.
Review, rights and research limits
- Version or release
- Hugging Face model revision 9f873b8a37fe37eb7543de092d308950ceb96fc0, checked 2026-10-24
- What we reviewed
- Exact pinned model page and revision API metadata reviewed. No checkpoint or training data was downloaded, and the separate Whisper embedding revision was not identified.
- Access described in the record
- Model page and pinned API metadata reviewed; no weights were downloaded or run.
- Current research decision
- Unresolved metadata-only candidate. The rendered model page displays Apache-2.0, while the revision API returns a null license value. Do not acquire, run, integrate or redistribute until the discrepancy and training-data provenance are resolved.
- Limitations
- This is the segmentation checkpoint named in the article, not the article's separately used Whisper embedding model. The exact Whisper embedding revision and its license were not identified.
- Attribution
- NCCR@LiRI / UZH, nccratliri/whisperseg-base-animal-vad-ct2, revision 9f873b8a37fe37eb7543de092d308950ceb96fc0.
- Declared license
- The model page displays Apache-2.0, but the pinned Hugging Face API metadata has a null license field; treat as unresolved pending clarification.
- License scope
- Checkpoint revision only; excludes WhisperSeg source code, Whisper embedding weights, annotation data and original recordings.
- Stated conditions
- Confirm authoritative checkpoint terms and training-data provenance before download, execution or redistribution.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-24
Metadata only
Estimate single fundamental-frequency contours from animal vocalizations; not call meaning or receiver response.
Review, rights and research limits
- Version or release
- Bioacoustics 34(4), 419–446 (2025); DOI 10.1080/09524622.2025.2500380
- What we reviewed
- Full article text reviewed for benchmark question, data composition, evaluation metrics and results. No paper figures or text beyond a short original summary were copied.
- Access described in the record
- Open PMC author-manuscript page; no paper file acquired.
- Current research decision
- Useful feature-measurement prior art. No explicit open article license was found on the reviewed manuscript page; keep article reuse unresolved and publish links plus an original summary only.
- Limitations
- The article aggregates prior datasets and reports a pitch-estimation benchmark. It does not establish animal-language decoding; article rights are separate from Dryad data, code and weights.
- Attribution
- Best, Paul, et al. (2025), Bioacoustics 34(4), 419–446; DOI 10.1080/09524622.2025.2500380.
- Declared license
- No explicit open reuse license found on the reviewed author-manuscript page; unresolved.
- License scope
- Article text only; excludes data, software, checkpoints and source recordings.
- Stated conditions
- Publish an original summary and citation; verify reuse permission before reproducing article content or figures.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Evaluate acoustic fundamental-frequency estimation against supplied contours; the dataset has no communication-meaning labels.
Review, rights and research limits
- Version or release
- Dryad DOI 10.5061/dryad.prr4xgxw8; API version 9, version id 363617, reviewed 2026-10-24
- What we reviewed
- Dryad landing page and official dataset/version/file-manifest APIs reviewed over verified TLS. Current API snapshot is saved in research/dryad_f0_manifest_2026-10-24.json. No archive acquired.
- Access described in the record
- Public Dryad record; API version 9 lists 15 files totaling 27,863,357,661 bytes. The monk_parakeets.zip metadata entry is 5,076,570 bytes. No file payload downloaded; provider SHA-256 remains unverified locally.
- Current research decision
- Metadata-only candidate. Dryad reports CC0-1.0. Reconcile source-recording provenance and proposed subset/group keys before selecting files for a Talk2Nature evaluation. Exact archive contents remain unreviewed.
- Limitations
- Paper reports 14 taxa, while the waveform release covers 13 and includes dolphin predictions without dolphin waveforms. Rodents dominate the call count; monk parakeets have 233 calls. The benchmark excludes overlapping sections and uses heterogeneous annotation procedures. The Dryad API file download requires a bearer token; the public file-stream route returned HTTP 403 in this environment. No archive members, file_list, audio, labels or source-file joins were inspected.
- Attribution
- Best, Paul; Araya-Salas, Marcelo; Ekström, Axel G.; et al. (2025). Dataset. Dryad. DOI 10.5061/dryad.prr4xgxw8.
- Declared license
- The Dryad v9 API record declares CC0-1.0; Dryad’s reuse guidance describes its dataset CC0 policy.
- License scope
- The deposited dataset only; does not license the associated article, code, model checkpoints or assets outside this deposit.
- Stated conditions
- Dryad recommends scholarly citation. Reconcile source-recording provenance, exact selected files and study context before use in a Talk2Nature experiment.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-24
Metadata only
Paper-linked implementation for F0 estimator comparisons and training/inference workflows.
Review, rights and research limits
- Version or release
- GitHub commit b57cc78f5b1c42b4eb61bdc4dc0f4430211c62ea, checked 2026-10-24
- What we reviewed
- Pinned repository tree and README reviewed read-only. The code was not downloaded, executed or audited dependency-by-dependency.
- Access described in the record
- Public GitHub repository at pinned commit; no code acquired.
- Current research decision
- Do not acquire, run, integrate or redistribute until authoritative code terms, dependency licenses and exact dataset/model lineage are resolved.
- Limitations
- The pinned 75-entry tree has no LICENSE/COPYING file. This code record excludes model checkpoints and the Dryad dataset, which are separate components.
- Attribution
- mim-team/bioacoustic_F0_estimation, commit b57cc78f5b1c42b4eb61bdc4dc0f4430211c62ea.
- Declared license
- No LICENSE/COPYING file located in the reviewed pinned tree; unresolved.
- License scope
- Repository code only; excludes model weights, dataset files, article and dependencies.
- Stated conditions
- Confirm an authoritative license and review dependencies before download or use.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Model · Catalog reviewed 2026-10-24
Metadata only
Pretrained/model-all F0 estimator weights listed by the paper-linked repository.
Review, rights and research limits
- Version or release
- GitHub commit b57cc78f5b1c42b4eb61bdc4dc0f4430211c62ea, checked 2026-10-24
- What we reviewed
- Pinned repository tree checked for model paths and file sizes; checkpoint bytes and training provenance were not acquired or inspected.
- Access described in the record
- The pinned GitHub tree lists paper_experiments/crepe_weights/model_all.pth (88,988,786 bytes); no weights downloaded.
- Current research decision
- Unresolved metadata-only candidate. Do not download or run until checkpoint license, training-data lineage and supported model configuration are documented.
- Limitations
- No separate model license or training-data manifest was located in the reviewed tree. Weight terms are separate from repository code and Dryad dataset rights.
- Attribution
- mim-team/bioacoustic_F0_estimation, commit b57cc78f5b1c42b4eb61bdc4dc0f4430211c62ea.
- Declared license
- No separate checkpoint license or training-data provenance found in the reviewed pinned tree; unresolved.
- License scope
- Model checkpoint only; excludes repository code, dataset, training inputs and article.
- Stated conditions
- Establish checkpoint rights and training data provenance before download, execution, integration or redistribution.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-24
Metadata only
The study analyzes contact-call frequency modulation and individual identity content across native and introduced monk-parakeet populations; it does not test call meaning or receiver comprehension.
Review, rights and research limits
- Version or release
- Animal Behaviour 179 (2021), 15–39; DOI 10.1016/j.anbehav.2021.06.020
- What we reviewed
- Publisher abstract and Data Accessibility statement reviewed; the full article methods and supplemental materials were not reviewed in this checkpoint.
- Access described in the record
- Publisher article page and citation metadata; no article file acquired.
- Current research decision
- Use as prior work for individual-signature research only. The paper and its linked dataset are separate assets; the 2025 F0 paper's cited-source list does not establish a file-level map for its 233 monk-parakeet calls.
- Limitations
- This checkpoint did not review the full methods or supplementary materials. The paper's article reuse terms were not established; no raw recordings or audio-to-row provenance were verified.
- Attribution
- Smith-Vidaurre, G., Pérez-Marrufo, V., & Wright, T. F. (2021). Individual vocal signatures show reduced complexity following invasion. Animal Behaviour, 179, 15–39. DOI 10.1016/j.anbehav.2021.06.020.
- Declared license
- No open article license was established from the publisher page reviewed; unresolved.
- License scope
- Article only; excludes the Figshare dataset, code, source audio and model outputs.
- Stated conditions
- Publish an original summary and citation; verify permission before reproducing article content or figures.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Dataset deposited to reproduce a study of contact-call frequency modulation and individual signature complexity; it is not a ground-truth call-meaning dataset.
Review, rights and research limits
- Version or release
- Figshare DOI 10.6084/m9.figshare.14811636.v1; API inventory checked 2026-10-24
- What we reviewed
- Official Figshare API metadata reviewed over verified TLS. The 12-file, 11,338,100-byte inventory and provider MD5 strings are recorded in research/monk_parakeet_figshare_manifest_2021.json; no payload was downloaded or inspected.
- Access described in the record
- Public Figshare record; metadata only. The inventory lists CSV, KML and README files and no waveform file.
- Current research decision
- Keep metadata-only. The item-level license is declared CC BY 4.0, but its contents and source-recording lineage were not audited. Do not infer that this inventory resolves the source audio for the 233-call F0 subset.
- Limitations
- The KML contents and all data rows remain uninspected; no file-to-waveform crosswalk was established. Provider-supplied checksums have not been recomputed against payloads.
- Attribution
- Smith-Vidaurre, G., Pérez-Marrufo, V., & Wright, T. F. (2021). Simpler signatures post-invasion. Figshare v1. DOI 10.6084/m9.figshare.14811636.v1.
- Declared license
- CC BY 4.0 declared by the Figshare record at item level.
- License scope
- Dataset item only; source recordings, embedded third-party material, paper, code and models are separate.
- Stated conditions
- Attribute the deposit. Reconcile source-recording provenance, file contents and any location sensitivity before acquisition, redistribution or model use.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-24
Metadata only
Whistle-presence detection and expert-defined whistle-type classification; acoustic structure, not message interpretation.
Review, rights and research limits
- Version or release
- arXiv v1, 2026-09-28
- What we reviewed
- Reviewed data collection, annotation, split, benchmark, limitations and ethics sections. No independent specialist review or result reproduction.
- Access described in the record
- Open arXiv preprint; no full text or figures copied into this project.
- Current research decision
- Use as task and prior-art reference. A reproduction must be independently reviewed and must not be presented as translation.
- Limitations
- One site and five known dolphins; session-disjoint partitions retain the same pod. Expert labels cover whistle categories, not receiver response or meaning.
- Attribution
- Mustun et al. (2026), arXiv:2609.34839v1.
- Declared license
- CC-BY-4.0
- License scope
- The arXiv paper/version; this is separate from dataset, code and model terms.
- Stated conditions
- Cite authors and source. Publish original summaries and links only.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Unlabeled dolphin audio for self-supervised acoustic representation learning, not behavior or meaning labels.
Review, rights and research limits
- Version or release
- Hugging Face revision eea37423c7841b0f99a7c0380f945999c0a2c489; data-license declaration at repository commit ad715bb3cf24c36f85b3c3c8159077548134a39e
- What we reviewed
- Reviewed immutable dataset-card metadata and file inventory plus the pinned official README/LICENSE-DATA. Upstream reports 31,780 segments, 114.284 hours and about 79.8 GB; no audio bytes acquired.
- Access described in the record
- Public Hugging Face listing; the complete repository is about 79.8 GB. The current acquisition state remains metadata-only.
- Current research decision
- Do not acquire the full corpus by default. First get independent cetacean and ML review of a bounded question and whether unlabeled pretraining is necessary.
- Limitations
- One site and pod of five dolphins; no labels in this component; does not support semantic claims or unseen-pod generalization.
- Attribution
- Mustun et al. (2026), OpenWhistle; cite the dataset and paper, credit source, and indicate changes.
- Declared license
- CC-BY-4.0
- License scope
- The official repository README and LICENSE-DATA at source 412 declare CC BY 4.0 for the listed OpenWhistle dataset releases; the Hugging Face card license field is null. This does not cover model weights or code.
- Stated conditions
- Attribute the authors/source, cite the paper, indicate changes and confirm the exact artifact is within the declared dataset scope before use.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Whistle type and presence benchmark with expert labels; no behavior/context or receiver-response labels.
Review, rights and research limits
- Version or release
- Hugging Face revision 2b7806e3c5913c459c40b824ab7f944d494b3993; data-license declaration at repository commit ad715bb3cf24c36f85b3c3c8159077548134a39e
- What we reviewed
- Reviewed immutable dataset-card metadata, labels, split counts and file inventory plus the pinned official README/LICENSE-DATA. Upstream reports 8,354 labeled rows and about 6.65 GB; no data bytes acquired.
- Access described in the record
- Public Hugging Face listing. The 10-class configuration has 5,848/1,253/1,253 train/validation/test rows; metadata-only review only.
- Current research decision
- Strong candidate for an independently reviewed, bounded reproduction; no data acquisition or run has been approved.
- Limitations
- The reported partition is session-disjoint but includes the same five dolphins; categories include individual signature whistle types. Labels do not establish what a whistle means.
- Attribution
- Mustun et al. (2026), OpenWhistle; cite the dataset and paper, credit source, and indicate changes.
- Declared license
- CC-BY-4.0
- License scope
- The official repository README and LICENSE-DATA at source 412 declare CC BY 4.0 for the listed OpenWhistle dataset releases; the Hugging Face card license field is null. This does not cover model weights or code.
- Stated conditions
- Attribute the authors/source, cite the paper, indicate changes and confirm the exact artifact is within the declared dataset scope before use.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-24
Metadata only
Reference implementation for dolphin whistle detection, segmentation and the published benchmark.
Review, rights and research limits
- Version or release
- Repository commit ad715bb3cf24c36f85b3c3c8159077548134a39e
- What we reviewed
- Reviewed README and repository root listing only. LICENSE-DATA covers datasets; no separate code license was visible at the reviewed root. No source code downloaded or executed.
- Access described in the record
- Public GitHub repository.
- Current research decision
- Do not copy or execute code until the authors clarify code reuse terms; a data license does not license the implementation.
- Limitations
- No code audit or dependency audit performed; published benchmark results have not been independently reproduced.
- Attribution
- OpenWhistle authors and repository maintainers; cite Mustun et al. (2026).
- Declared license
- Unspecified; no separate code license visible at the reviewed root
- License scope
- Code only. LICENSE-DATA covers dataset artifacts and is not a code license.
- Stated conditions
- Clarify license with maintainers before use, copying or redistribution.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Model · Catalog reviewed 2026-10-24
Metadata only
Dolphin-specific acoustic representation model for whistle classification/detection; not a ready supervised translator.
Review, rights and research limits
- Version or release
- Hugging Face revision 985ac11bc6939af5e41383143aad5a0ae6993f68
- What we reviewed
- Reviewed immutable model-card license and intended-use sections. The card says the model license has not been specified; no weights acquired or executed.
- Access described in the record
- Public model-card listing.
- Current research decision
- Do not acquire, execute, redistribute or commercially use the checkpoint until the model license and training provenance are clarified.
- Limitations
- Dolphin-specific model; no behavioral, social or environmental context; no independent generalization validation beyond the published setup.
- Attribution
- OpenWhistle authors and model maintainers; cite Mustun et al. (2026).
- Declared license
- Unspecified by the model card
- License scope
- Model weights and model artifact only; the dataset CC BY 4.0 statement does not automatically license this checkpoint.
- Stated conditions
- Clarify the checkpoint license and training-data provenance with maintainers before any use.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-24
Metadata only
Engineering reference for insect species identification and sample-rate/device robustness; not a communication or behavior-context benchmark.
Review, rights and research limits
- Version or release
- Zenodo v1.1; DOI 10.5281/zenodo.18554693; published 2026-02-09, record modified 2026-06-09
- What we reviewed
- PubMed primary abstract, official Zenodo v1.1 record/file inventory and author repository root/README reviewed. Full article methods and annotation CSV rows were not inspected; no media, code or models were acquired or run.
- Access described in the record
- Public Zenodo v1.1 record. The provider lists 83.7 GB of package files and a 6.9 MB annotation CSV; neither is acquired. The CSV exceeds the project collector’s 5 MiB per-file limit.
- Current research decision
- Catalog as a metadata-only cross-taxa engineering reference. Do not treat it as a communication dataset, select it as the first Talk2Nature benchmark, or infer phone-microphone capability from its recordings.
- Limitations
- Species-level recording labels are weak and do not provide independently observed behavior or receiver response. The published split is balanced by file count and duration; held-out contributor/site/device grouping was not established in this review, and test data are publicly distributed. High sample-rate recordings may exceed ordinary phone capture. Exact per-file source licenses and the code repository’s reuse rights remain to be checked before any item is used.
- Attribution
- Faiß M, Ghani B, Stowell D (2026). A dataset of insect sounds from 459 species for bioacoustic machine learning. Scientific Data 13:499. DOI 10.1038/s41597-026-07123-4. Dataset v1.1 DOI 10.5281/zenodo.18554693.
- Declared license
- Zenodo v1.1 description states source recordings use Creative Commons 4.0 licenses or CC0; the article Data Record describes a CC 4.0 deposit. Exact per-file terms were not inspected.
- License scope
- Dataset media only, subject to each original source license and attribution. The author code repository has no located standalone license. No license for model weights was identified.
- Stated conditions
- Before use, inspect the exact file-level license and source attribution, check sensitive location metadata and cross-dataset duplicates, and verify the selected intended use. Do not redistribute media or reuse code based only on the article or dataset-level statement.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-24
Metadata only
Prior-art and methods reference for the relationship between waggle-dance movement, follower behavior and observed feeder outcomes.
Review, rights and research limits
- Version or release
- PNAS Nexus 2(9): pgad275 (2023); DOI 10.1093/pnasnexus/pgad275
- What we reviewed
- Targeted review of the abstract, communication background, colony setup, behavior annotation, sample grouping, results, data statement and article rights. No data, video, code or model was acquired or run.
- Access described in the record
- Open-access article. The paper’s data citation points to a separate Zenodo v1.0 record; software components are linked separately.
- Current research decision
- Use an original source-grounded summary and link. CC BY 4.0 for the article does not automatically license separately linked data or code.
- Limitations
- The paper already reports waggle detection, dancer/follower tracking and associations with known feeders. Repeating those claims would not be a new Talk2Nature contribution. The study spans one observation-hive site across two seasons; the published hourly sample grouping is not a held-out-bee or held-out-colony evaluation.
- Attribution
- Dormagen DM, Wild B, Wario F, Landgraf T (2023). Machine learning reveals the waggle drift’s role in the honey bee dance communication system. PNAS Nexus 2(9): pgad275. DOI 10.1093/pnasnexus/pgad275.
- Declared license
- CC-BY-4.0
- License scope
- Published article only; dataset and code rights are separate.
- Stated conditions
- Credit the authors and source, link the license and indicate changes if reusing article material. Talk2Nature publishes an original summary and link only.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-25
Metadata only
Candidate for a narrowly specified reproduction or bee-held-out re-evaluation of an already published signal-to-follower/feeder analysis.
Review, rights and research limits
- Version or release
- Zenodo v1.0; DOI 10.5281/zenodo.7928121; published 2023-05-17
- What we reviewed
- On 2026-10-25, rechecked Zenodo v1.0 official API metadata: 11 file entries sum to 4,870,358,178 bytes and the API declares CC BY 4.0. Berlin2019_followers.csv is 9,171,824 bytes. The primary article’s methods and results were reviewed selectively. No dataset payload was downloaded, hashed locally or inspected.
- Access described in the record
- Public Zenodo record; its 11 deposited files total 4,870,358,178 bytes (4.87 decimal GB). It includes more than 46 million 2019 track detections, dance/follower tables, feeder-experiment metadata and a 2021 classifier ground-truth archive. The named Berlin2019_followers.csv file is 9,171,824 bytes, above the current collector's 5 MiB per-file limit. Fine-scale feeder coordinates are present in the source description; no coordinates are reproduced here.
- Current research decision
- Metadata-only communication-adjacent candidate, not a selected or training-ready benchmark. Its follower-outcome file exceeds the current 5 MiB per-file collection limit, and the smaller dance/feeder metadata files have not been shown to replace it for a receiver-outcome analysis. Do not bypass the limit with direct downloads, alternate tools or archive splitting. Before any future intake, require independent insect-behavior and ML/statistical review of novelty, outcome definition, bee-held-out grouping and location handling, plus a separately reviewed acquisition path.
- Limitations
- The published study spans one Berlin observation-hive site across two seasons; its sample-level cross-validation groups observations by hour, not by held-out individual or colony. The 2021 cohort is unmarked, and the 2019 feeder and tracking setup is specialized. The signal’s relationship to direction/distance and follower behavior is established prior art, not a new translation result.
- Attribution
- Dormagen DM, Wild B, Wario F, Landgraf T (2023). Data used in Machine learning reveals the waggle drift’s role in the honey bee dance communication system. Zenodo v1.0. DOI 10.5281/zenodo.7928121.
- Declared license
- Zenodo v1.0 record API metadata declares CC BY 4.0 for the deposited dataset.
- License scope
- The dataset record only. Linked papers, code repositories, dependencies and model artifacts require their own rights review.
- Stated conditions
- Cite the deposit and retain attribution. Before any analysis, review the exact files, potential location exposure and task-specific suitability. Do not infer permission for linked code or model artifacts. No payload bytes were downloaded or inspected.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-25
Metadata only
Mobile-learning product precedent and versioned methods reference; not a Talk2Nature benchmark.
Review, rights and research limits
- Version or release
- SoftwareX 34 (2026), article 102638
- What we reviewed
- Selected article passages reviewed through an author-uploaded copy: app design/release, corpus description, data statement and article license. No figures or supplemental files inspected.
- Access described in the record
- Open-access article; publisher landing page was not directly accessible in this review, and an author-uploaded copy was used for selected passages.
- Current research decision
- Publish an original summary and link only. Keep this separate from code and dataset reuse.
- Limitations
- Not a full article review, independent usability evaluation or validation of an animal-meaning claim. The paper describes v1.0 as offline-first educational software; its exact relationship to the pinned public code snapshot is unresolved.
- Attribution
- Kate M, Neethirajan S (2026). MooLogue: A cross-platform mobile application for cow vocalization education and welfare monitoring. SoftwareX 34:102638. DOI 10.1016/j.softx.2026.102638.
- Declared license
- CC-BY-NC-ND-4.0
- License scope
- Published article only; code, dataset and model assets have separate rights.
- Stated conditions
- Talk2Nature publishes an original summary and a link, not the article text, figures or files.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-25
Metadata only
Compare mobile learning, versioning and possible cloud architecture patterns; do not import code.
Review, rights and research limits
- Version or release
- Commit 8023dbdfed8587d07eeafa54accb68408ffaefbe (2025-11-25); exact mapping to the 2026 paper release not established
- What we reviewed
- Read README and README_softwarex.md at the pinned commit and checked GitHub repository license metadata/tree. No archive was cloned, built or executed.
- Access described in the record
- Public GitHub repository snapshot; the article describes a later v1.0 release, but no exact commit-to-release mapping was found.
- Current research decision
- Metadata-only. README says MIT, but GitHub reports no detected license and the pinned tree has no root LICENSE; obtain an explicit license/version reconciliation before any reuse.
- Limitations
- The README describes live recording uploads, AWS services and PyTorch inference; the article describes normal v1.0 use as an offline-first educational app. Runtime behavior and exact release provenance were not tested.
- Attribution
- MooAnalytica, moologue-app repository, commit 8023dbdfed8587d07eeafa54accb68408ffaefbe.
- Declared license
- Unresolved: README metadata says MIT; pinned tree has no LICENSE and GitHub reports no detected license.
- License scope
- Pinned source snapshot only; the article, dataset, dependencies and any model weights have separate terms.
- Stated conditions
- No copying or execution until a clear license and exact release mapping are verified.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-25
Metadata only
Prior-art and corpus-design reference for curated cattle call learning; not admitted for collection or training.
Review, rights and research limits
- Version or release
- Zenodo DOI 10.5281/zenodo.17764250; restricted access per article
- What we reviewed
- The paper reports 569 clips, 48 fine-grained classes and three commercial dairy farms and says access is restricted by a data access agreement. Zenodo API returned HTTP 406; no official manifest or payload was inspected.
- Access described in the record
- Restricted according to the paper; the direct Zenodo API metadata response could not be retrieved for independent confirmation.
- Current research decision
- Keep metadata-only. Do not request, download, redistribute or train on the dataset without explicit access approval, exact terms, defined protocol and independent review.
- Limitations
- The article-level corpus summary does not reveal the complete file manifest, recording/site mapping, participant/animal consent details, annotation protocol or cross-split grouping. Restricted farm data may not be redistributable.
- Attribution
- Data associated with Kate M, Neethirajan S (2026), MooLogue, SoftwareX 34:102638; Zenodo DOI 10.5281/zenodo.17764250.
- Declared license
- Unresolved; article reports restricted access under a data access agreement.
- License scope
- Dataset and metadata only; paper, repository code and model rights are separate.
- Stated conditions
- No intake or reuse until the official record, data access agreement, privacy/consent terms and intended use are reviewed.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Not admitted for this project.
- Redistribution
- Not admitted for this project.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-25
Metadata only
Reference for a local-first mobile recording, species-ID and session-review workflow; no import planned.
Review, rights and research limits
- Version or release
- v1.2.1; commit 4aee47cd824873ffc9b3ca3462bf2415151a56d1; released 2026-10-12
- What we reviewed
- Reviewed the pinned README, LICENSE, app-mode summary, session/save/export description and documentation references. No code archive was downloaded, built, security-audited or run.
- Access described in the record
- Public GitHub source at a pinned release commit. The release identifies MIT for app source code; dependencies and bundled non-code assets have separate terms.
- Current research decision
- Metadata-only comparator. Do not import code until dependency, asset, privacy, trademark and app integration requirements are separately reviewed.
- Limitations
- BirdNET Live classifies bird species, not calls by intent. The app expects a microphone grant, saves completed sessions locally and includes modes beyond the Talk2Nature beginner workflow. Developer privacy claims were not independently runtime-tested.
- Attribution
- BirdNET-Team (2026). BirdNET Live app, release v1.2.1, commit 4aee47cd824873ffc9b3ca3462bf2415151a56d1.
- Declared license
- MIT (LICENSE at pinned release)
- License scope
- Application source code only; dependencies, models, data, assets and trademarks are separate.
- Stated conditions
- Retain MIT copyright and permission notice; review each dependency and non-code asset before distribution.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Model · Catalog reviewed 2026-10-25
Metadata only
Species-identification comparator only; no Talk2Nature inference or training run.
Review, rights and research limits
- Version or release
- BirdNET+ V3.0-preview3.1 Global 10K-pruned FP16; geo-model V3.0.4; app release v1.2.1
- What we reviewed
- Reviewed the exact release README model filenames and MODEL_LICENSE declaration. No model bytes, card, training-data manifest or evaluations were acquired or inspected.
- Access described in the record
- Model files are described as bundled in release builds and tracked in source via Git LFS.
- Current research decision
- Metadata-only. Apache-2.0 applies to the bundled trained weights per MODEL_LICENSE; it does not grant rights to training audio, source recordings, ancillary app assets or trademarks.
- Limitations
- The app output is bird-species identification, not a call-function, individual, state or meaning label. No suitability for parrot household recordings or Talk2Nature tasks was established.
- Attribution
- BirdNET-Team (2026). BirdNET Live app v1.2.1 bundled model weights; MODEL_LICENSE at pinned commit 4aee47cd824873ffc9b3ca3462bf2415151a56d1.
- Declared license
- Apache-2.0 (MODEL_LICENSE at pinned release)
- License scope
- Bundled trained model weights only; training data, application code, taxonomy/images and trademarks are separate.
- Stated conditions
- Preserve Apache-2.0 notices and review the exact model artifact and its upstream data provenance before any use.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-25
Metadata only
Historical receiver-response experiment and methods comparator; not a translation benchmark.
Review, rights and research limits
- Version or release
- Science 210(4471), 801–803 (1980a)
- What we reviewed
- Primary PubMed citation and abstract reviewed. The abstract reports distinct responses to predator-absent call playbacks; full Science article, sample sizes, controls and detailed methods were not obtained.
- Access described in the record
- PubMed citation/abstract and publisher full-text link; publisher access and reuse terms were not verified.
- Current research decision
- Metadata only. Use the abstract for a bounded historical summary; do not treat it as a full methods review or as proof of word-like translation.
- Limitations
- The accessible abstract does not specify experimental units, playback allocation, stimulus controls, caller identity, behavioral coding or statistical analysis. The 2020 review is a separate secondary source and does not replace these details.
- Attribution
- Seyfarth, R. M., Cheney, D. L., & Marler, P. (1980a). Science, 210(4471), 801–803. DOI 10.1126/science.7433999.
- Declared license
- Not established in this review
- License scope
- Article text and figures; no redistribution clearance was reviewed.
- Stated conditions
- Use the publisher DOI and retain attribution. Review applicable article terms before reproducing text, figures or other material; Talk2Nature publishes original summaries and links only.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-25
Metadata only
Follow-up source for the fuller playback methods and discussion identified by the 2020 review.
Review, rights and research limits
- Version or release
- Animal Behaviour 28(4), 1070–1094 (1980b)
- What we reviewed
- Bibliographic record and the 2020 review's description of this companion paper checked. The full primary article, methods, tables and figures were not obtained or reviewed.
- Access described in the record
- Publisher DOI record; current full-text access and reuse terms were not verified.
- Current research decision
- Metadata only and a priority reading target. Do not describe its methods from the secondary mention as independently reviewed.
- Limitations
- The citation establishes a distinct longer paper, not which exact controls or analyses it contains. Full methods, data availability and article reuse terms remain unresolved.
- Attribution
- Seyfarth, R. M., Cheney, D. L., & Marler, P. (1980b). Animal Behaviour, 28(4), 1070–1094. DOI 10.1016/S0003-3472(80)80097-2.
- Declared license
- Not established in this review
- License scope
- Article text and figures; no redistribution clearance was reviewed.
- Stated conditions
- Access through an authorized publisher or library route and review the applicable terms before reuse. Talk2Nature publishes original summaries and links only.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-25
Metadata only
Historical and conceptual review separating context-linked call production, receiver learning and claims about symbolic language.
Review, rights and research limits
- Version or release
- Animal Behavior and Cognition 7(2), 108–116 (2020)
- What we reviewed
- Selected full-text sections on pp. 108–114 reviewed, including context specificity, receiver learning, functional reference and conclusions. The cited primary experiments were not independently reproduced.
- Access described in the record
- Open journal PDF; the first page declares CC BY 3.0 Unported.
- Current research decision
- Useful secondary synthesis and methodological caution. Cite the review as a review, not as a primary experiment or an independent replication.
- Limitations
- The review summarizes multiple studies; its claims do not substitute for the original methods, study-level controls or results. Some later studies cited in the review remain outside this review pass.
- Attribution
- Fischer, J. (2020). Nonhuman primate alarm calls then and now. Animal Behavior and Cognition, 7(2), 108–116. DOI 10.26451/abc.07.02.05.2020.
- Declared license
- CC BY 3.0 Unported (declared in article PDF)
- License scope
- Article text; third-party material, if any, retains its own rights.
- Stated conditions
- Provide attribution and indicate changes when adapting. This catalog contains an original summary and link, not a reproduced article or figure.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-25
Metadata only
Primary field experiment on how an ongoing intergroup context changes receiver responses to male vervet alarm barks.
Review, rights and research limits
- Version or release
- Animal Cognition 26(4), 1199–1208 (2023)
- What we reviewed
- Full open-access publisher article reviewed. Eight adult female subjects from one group completed 16 within-subject trials; two playback exemplars came from one male. Lower speaker-directed looking and vigilance were reported in ongoing intergroup encounters; predator-specific escape responses were not observed.
- Access described in the record
- Open-access article under CC BY 4.0. The paper links data and analysis code to OSF project kw5qg; the publisher-provided view-only link returned HTTP 403 through the research browser on 2026-10-25. No OSF metadata, contents or component terms were reviewed.
- Current research decision
- Metadata-only paper record. Useful methods evidence for separating call from surrounding social context and measuring receiver behavior. It is not a translation benchmark. Separate data and code candidates are cataloged below with unresolved access and rights; neither is admitted for reuse.
- Limitations
- The small, single-group experiment does not establish generality across populations, callers, sexes, call types or contexts. The paper's Results and Discussion give conflicting directions for the startle outcome; do not use that measure without resolving the discrepancy. No predator-specific escape responses occurred. The 403 records one tool retrieval outcome and does not establish global OSF access status. Separate data/code versions, contents, licenses, privacy conditions and any wildlife-site identifiers are unknown.
- Attribution
- Deshpande, A., van de Waal, E., & Zuberbühler, K. (2023). Context-dependent alarm responses in wild vervet monkeys. Animal Cognition, 26(4), 1199–1208. https://doi.org/10.1007/s10071-023-01767-0.
- Declared license
- CC BY 4.0 (article, as declared by publisher)
- License scope
- Article text; third-party materials may have separate notices. The linked data and analysis code are separate components with unverified terms.
- Stated conditions
- Attribute the article and note changes if adapting it. Do not redistribute third-party material without checking its credit line. Verify the linked data and code terms independently before access or reuse; this record includes no copied article or files.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-25
Metadata only
Potential data associated with the context-dependent receiver-response experiment. The paper's OSF link is a locator only; data structure, labels and suitability for analysis are unknown.
Review, rights and research limits
- Version or release
- OSF project kw5qg; public node metadata queried 2026-10-25; dataset version and file list not checked
- What we reviewed
- The full publisher article's Data availability statement links study data to OSF project kw5qg. An unauthenticated GET to the canonical OSF API v2 node endpoint returned title ‘Context-dependent alarm responses in wild vervet monkeys’, public=true, created 2021-12-17, modified 2023-02-03 and a null project-level license relationship. The publisher-provided view-only URL separately returned HTTP 403. No files endpoint, file names, data rows, coordinates or payloads were reviewed or acquired.
- Access described in the record
- Public node metadata is accessible through OSF API v2. The file listing and exact dataset component access/terms remain unreviewed; project metadata visibility does not establish reuse permission.
- Current research decision
- Metadata-only candidate. Do not acquire, analyze or treat this as a benchmark until the exact data version, access authority, provenance, component license, privacy/site-sensitivity terms and withdrawal/retention conditions are reviewed.
- Limitations
- The project node response returned no project-level license relationship; that does not establish file-level terms. The file manifest, schemas, sound-to-trial joins, subject/group identifiers and any precise wildlife locations are unknown. The paper's CC BY 4.0 article license does not grant rights to this dataset.
- Attribution
- Deshpande, A., van de Waal, E., & Zuberbühler, K. (2023). Context-dependent alarm responses in wild vervet monkeys. Animal Cognition, 26(4), 1199–1208. https://doi.org/10.1007/s10071-023-01767-0.
- Declared license
- No project-level license relationship returned by OSF node metadata; file-level terms unresolved
- License scope
- Dataset rights are separate from the article's CC BY 4.0 license.
- Stated conditions
- Establish authorized access and review the exact version, component-specific license, provenance, privacy, field-site sensitivity, retention and withdrawal terms before any file inspection or use.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-25
Metadata only
Primary data-descriptor paper for a fine-grained nocturnal bird-call detection and localization dataset.
Review, rights and research limits
- Version or release
- Scientific Data 13, Article 925 (2026); version of record published April 21, 2026
- What we reviewed
- Reviewed the article's abstract, annotation methods, dataset description, technical validation, model evaluation, data/code availability and rights statement. No linked files, figures, code or model weights were acquired or run.
- Access described in the record
- Open version of record. Article-text rights are CC BY-NC-ND 4.0 as declared by the article; this does not grant rights to the linked recordings, annotations, code or weights.
- Current research decision
- Metadata-only methods reference. The article supports event detection/localization and classification, not receiver response, behavior or communication meaning.
- Limitations
- The author-reported mAP@IoU0.5 was not independently reproduced. The test-set narrative reports 270 recordings while the detection-evaluation text reports 271. The linked artifacts and their component-specific rights must be assessed separately.
- Attribution
- Airale, L., Pajot, A., & Linossier, J. (2026). An Open Dataset for the Acoustic Monitoring of Nocturnal Migratory Birds in Europe. Scientific Data, 13, 925. https://doi.org/10.1038/s41597-026-07176-5.
- Declared license
- CC BY-NC-ND 4.0 (article text only)
- License scope
- The article text; not the dataset, annotations, code, model weights or third-party material with separate credit lines.
- Stated conditions
- Publish original summaries and a DOI link. Do not reproduce article text or figures; follow the article license and any third-party notices for any future reuse.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Not admitted for this project.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-25
Metadata only
Potential methods resource for time-frequency annotation, bird-call detection and localization; not a communication-meaning corpus.
Review, rights and research limits
- Version or release
- Zenodo v4; DOI 10.5281/zenodo.17573913; current record modified June 30, 2026
- What we reviewed
- Reviewed the linked article and the official Zenodo v4 landing page/file list. The record reports 2,077 training files, 13,359 annotations and about 38 hours. No archive, CSV, audio, annotation or coordinate value was downloaded or inspected.
- Access described in the record
- Public record lists a 15 GB ZIP, a metadata CSV and a species-statistics CSV. The archive is not acquired. The record describes CC BY 4.0 for NBM-Orig audio and per-recording licenses for Xeno-Canto audio.
- Current research decision
- Metadata-only candidate. Do not acquire or analyze until exact component rights, privacy/location treatment, file version and intended use are reviewed.
- Limitations
- The separate annotation/metadata terms are not specified on the reviewed record. XC terms vary by recording; location metadata is described for almost all XC files. The paper's test description reports 270 files but the detection-evaluation text reports 271. Upload-time separation does not establish bird-, site- or uploader-independent evaluation.
- Attribution
- Airale, L., Pajot, A., & Linossier, J. (2025). NBM: an Open Dataset for the Acoustic Monitoring of Nocturnal Migratory Birds in Europe, version 4. Zenodo. https://doi.org/10.5281/zenodo.17573913.
- Declared license
- Mixed: NBM-Orig audio CC BY 4.0; Xeno-Canto audio retains per-recording terms; annotation and metadata terms unresolved
- License scope
- Audio, annotations, metadata and article are distinct components with different or unverified rights.
- Stated conditions
- Check the exact recording-level license and attribution before any use. Confirm annotation/metadata terms and location handling separately. Do not infer permission for the entire archive from the NBM-Orig license.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-25
Metadata only
Potential code for reproducing the NBM spectrogram object-detection baseline.
Review, rights and research limits
- Version or release
- Repository main branch unpinned; linked Zenodo software record v1.0, DOI 10.5281/zenodo.15662728
- What we reviewed
- Reviewed only the public GitHub root, README and linked official Zenodo software-record metadata. The README points to dataset v3 (DOI 17544346), whereas the article/current dataset record point to v4 (DOI 17573913). No repository revision was pinned and no archive, source file or dependency was acquired or executed.
- Access described in the record
- Public repository and Zenodo software record are visible. Exact code version, complete source contents and environment reproducibility remain unchecked.
- Current research decision
- Metadata-only candidate. Do not install or execute until the code is pinned and its license, dependencies, model inputs and dataset version mismatch are reviewed.
- Limitations
- No license file was visible in the inspected GitHub root, and the Zenodo software page did not display an explicit license. The linked 128 MB archive contents were not examined. Model-weight rights are tracked separately.
- Attribution
- LouisBearing/BirdSoundClassif repository; archived software record: https://doi.org/10.5281/zenodo.15662728.
- Declared license
- Unresolved; no explicit code license was visible in the reviewed repository root or software landing page
- License scope
- Source code and dependencies; does not establish dataset, model-weight or article rights.
- Stated conditions
- Pin an exact commit/release and inspect all license files and dependency notices before download, execution or redistribution.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Model · Catalog reviewed 2026-10-25
Metadata only
Potential trained checkpoint for bird-call detection and classification on NBM-style spectrogram inputs.
Review, rights and research limits
- Version or release
- No immutable model release or weight checksum reviewed; repository main branch is unpinned
- What we reviewed
- The GitHub root visibly contains a model_weights directory and the README describes checkpoints/configuration needed to run the model. No checkpoint file, checksum, training manifest, model card or archive contents were inspected or acquired.
- Access described in the record
- The repository page is public, but exact weight availability, version and redistribution terms were not verified.
- Current research decision
- Metadata-only model candidate. Do not download or execute until exact checkpoints, provenance, intended use and separate weight terms are verified.
- Limitations
- The article's paper license does not license weights. The Zenodo software landing page did not display an explicit license and its archive contents were not reviewed. Dataset and code rights are separate.
- Attribution
- LouisBearing/BirdSoundClassif repository and the NBM model described in Airale, Pajot & Linossier (2026), https://doi.org/10.1038/s41597-026-07176-5.
- Declared license
- Unresolved; no checkpoint-level license or checksum reviewed
- License scope
- Trained model weights and any configuration files; distinct from code, paper and recordings.
- Stated conditions
- Verify an immutable checkpoint, author-declared license, training-data provenance and use restrictions before any download or execution.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Code · Catalog reviewed 2026-10-25
Metadata only
Potential scripts for reproducing the 2023 paper's statistical analyses. The linked code, dependencies and run instructions are unknown.
Review, rights and research limits
- Version or release
- OSF project kw5qg; public node metadata queried 2026-10-25; code version and files not checked
- What we reviewed
- The full publisher article's Data availability statement links analysis code to OSF project kw5qg. An unauthenticated GET to the canonical OSF API v2 node endpoint returned title ‘Context-dependent alarm responses in wild vervet monkeys’, public=true, created 2021-12-17, modified 2023-02-03 and a null project-level license relationship. The publisher-provided view-only URL separately returned HTTP 403. No files endpoint, code files, dependencies or payloads were reviewed or acquired.
- Access described in the record
- Public node metadata is accessible through OSF API v2. The file listing and exact code component access/terms remain unreviewed; project metadata visibility does not establish reuse permission.
- Current research decision
- Metadata-only candidate. Do not install, execute or redistribute code until an authorized, version-pinned release and a separate code/dependency license review are available.
- Limitations
- The project node response returned no project-level license relationship; that does not establish file-level terms. Repository structure, language/version, dependencies, source mapping and reproducibility are unknown. The article's CC BY 4.0 license does not grant rights to analysis code or its dependencies.
- Attribution
- Deshpande, A., van de Waal, E., & Zuberbühler, K. (2023). Context-dependent alarm responses in wild vervet monkeys. Animal Cognition, 26(4), 1199–1208. https://doi.org/10.1007/s10071-023-01767-0.
- Declared license
- No project-level license relationship returned by OSF node metadata; code and dependency terms unresolved
- License scope
- Analysis-code rights are separate from the article's CC BY 4.0 license and from any dependency/model terms.
- Stated conditions
- Establish authorized access and review the exact pinned code, license, dependency terms and run boundary before download or execution.
- Research use
- Unresolved; treat as not cleared.
- Commercial use
- Unresolved; treat as not cleared.
- Redistribution
- Unresolved; treat as not cleared.
- Collection status
- Metadata only; no files are included in this public directory.
Dataset · Catalog reviewed 2026-10-25
Metadata only
Potential descriptive comparison of contact-call acoustics across island and mainland populations; not a call-meaning or receiver-response benchmark.
Review, rights and research limits
- Version or release
- Dryad dataset v4 (record ID 77790; version ID 147704), published 2021-11-01 and modified 2021-11-02; DOI 10.5061/dryad.k3j9kd58b
- What we reviewed
- Official Dryad API v2 record and v4 file manifest reviewed; targeted publisher-indexed article passages and current Dryad policy reviewed. The exact metadata-only manifest is research/manifests/brown-throated-parakeet-dryad-v4.json. No dataset or article file was acquired; official README download routes returned HTTP 401 and 403.
- Access described in the record
- Public Dryad landing page and version/file metadata are accessible. The v4 manifest reports eight files totaling 57,091,189 bytes. README API download returned HTTP 401 and the landing-page file link returned HTTP 403; no other route was tried.
- Current research decision
- Keep metadata-only. Candidate for a later descriptive, caller/group-aware acoustic replication only after qualified specialist review, data-level schema/site-sensitivity checks and reconciliation of the paper's duration sample counts. Not a receiver-response, translation or semantic benchmark.
- Limitations
- The dataset-level API record points to CC0-1.0; the version/file entries do not repeat a license. Upstream SHA-256 values have not been checked against local bytes. Caller/session grouping, label provenance, site sensitivity and split suitability remain unknown. The paper's duration results report 1,319 calls from 92 units, but its 10 Table 5 rows sum to 1,313 calls from 91 units; the page does not reconcile the difference. No code file is listed in the v4 manifest. Dryad does not certify scientific validity, completeness or privacy.
- Attribution
- Eberhard, J., Zager, I., Ferrer-Paris, J. & Rodriguez-Clark, K. (2021). Brown-throated parakeet vocalization data [Dataset]. Dryad. https://doi.org/10.5061/dryad.k3j9kd58b.
- Declared license
- The dataset-level API record points to https://spdx.org/licenses/CC0-1.0.html, consistent with Dryad policy; version/file entries do not repeat the license.
- License scope
- Dataset deposit only; not the journal article, a code package, or a derived model.
- Stated conditions
- Preserve attribution and DOI citation. Review the README, grouping fields and spatial sensitivity before any acquisition or model design; no file bytes have been acquired or admitted.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
Paper · Catalog reviewed 2026-10-25
Metadata only
Methods reference for geographic variation and variability in wild parrot contact calls; not a meaning dataset or receiver-response benchmark.
Review, rights and research limits
- Version or release
- Ornithology 139(1), article ukab076; published online 2021-11-20; issue dated 2022-01-11
- What we reviewed
- Targeted publisher-indexed excerpts reviewed for the abstract, recording methods, geographic sampling, analysis subsets, selected duration results/discussion and ethical statement. Direct publisher fetch returned HTTP 403; no PDF or publisher figures/tables were acquired. Not a complete article audit.
- Access described in the record
- Publisher article is identified as free to read; only selected indexed passages were accessible in this review. No full article copy was saved.
- Current research decision
- Use as an original source for a narrow descriptive parrot-acoustics candidate. Do not infer semantic meaning, test animal playback, or train before the separate dataset schema, rights and grouping gates pass.
- Limitations
- The analyzed call type is loud contact calls, not the entire repertoire. Receiver response was not tested. Duration-analysis prose reports 1,319 calls from 92 units, while the 10 rows in Table 5 sum to 1,313 calls from 91 units; the article page does not reconcile the difference. The article describes a custom MATLAB SPCC-PCO routine, but the Dryad v4 file manifest contains no code file and no separate code repository was reviewed. Call/group/session splits and data-level sample-count reconciliation remain open.
- Attribution
- Eberhard, J. R., Zager, I., Ferrer-Paris, J. R. & Rodriguez-Clark, K. (2022). Contact calls of island Brown-throated Parakeets exhibit both character and variance shifts compared to calls of their mainland relatives. Ornithology 139(1), ukab076. https://doi.org/10.1093/ornithology/ukab076.
- Declared license
- No article-specific open-reuse license was verified. Free-to-read access is not treated as permission to republish the paper.
- License scope
- Journal article only. The linked Dryad dataset is a separate component with its own record-level CC0-1.0 declaration.
- Stated conditions
- Publish an original summary and link only; do not reproduce article text, figures or tables.
- Research use
- Conditional; check the license, scope and stated conditions for your intended use.
- Commercial use
- Conditional; check the license, scope and stated conditions for your intended use.
- Redistribution
- Conditional; check the license, scope and stated conditions for your intended use.
- Collection status
- Metadata only; no files are included in this public directory.
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