{ "info": { "title": "Pteroset", "license": "cc-by-4.0", "publication_date": "20260209", "description": "
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This release provides a curated passive acoustic monitoring dataset of Neotropical bird vocalizations recorded in Colombia (Puerto Asis, Putumayo; Pijavay, Magdalena) between 2023 and 2025.
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Audio was collected with autonomous AudioMoth recorders and stored as WAV; recordings were resampled to 48 kHz for downstream analyses, yielding 563 recordings (73.62 hours total). Each recording is paired with expert-generated annotations created in Raven Pro and subsequently harmonized into a COCO-inspired JSON schema for bioacoustics. Annotations are provided as strong labels with explicit temporal boundaries (t_min, t_max) and spectral bounds (f_min, f_max), enabling time frequency localization and event detection tasks.
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Original soundscape labels were filtered to retain only biophonic bird events, producing 14,205 bird-event annotations at the taxonomic-group level; 6,703 of these additionally include species-level determinations using standardized species codes (distributed with the dataset as a separate CSV lookup table).
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", "creators": [ { "name": "Ruiz, Daniela", "affiliation": "Microsoft AI for Good", "orcid": "0000-0001-6636-1173" }, { "name": "Ulloa, Juan Sebastian", "affiliation": "Alexander von Humboldt Biological Resources Research Institute", "orcid": "0000-0001-5666-6942" }, { "name": "Miao, Zhongqi", "affiliation": "Microsoft AI for Good", "orcid": "0000-0002-0439-8592" }, { "name": "Betancourt, Nicol\u00e1s", "affiliation": "Alexander von Humboldt Biological Resources Research Institute" }, { "name": "Hern\u00e1ndez, Andr\u00e9s", "affiliation": "Microsoft AI for Good", "orcid": "0009-0001-2589-8473" }, { "name": "Demuro, Bruno", "affiliation": "Microsoft AI for Good", "orcid": "0000-0001-9922-8811" }, { "name": "Barona Cort\u00e9s, Eliana", "affiliation": "Alexander von Humboldt Biological Resources Research Institute", "orcid": "0000-0002-9451-7996" }, { "name": "Toro G\u00f3mez, Maria Paula", "affiliation": "Alexander von Humboldt Biological Resources Research Institute", "orcid": "0000-0001-8875-6619" }, { "name": "Mendoza-Henao, Angela M.", "affiliation": "Alexander von Humboldt Biological Resources Research Institute", "orcid": "0000-0002-6752-9238" }, { "name": "Sierra-Ricaurte, Andres Felipe", "affiliation": "Alexander von Humboldt Biological Resources Research Institute", "orcid": "0000-0002-7168-373X" }, { "name": "P\u00e9rez-Pe\u00f1a, Sebastian Camilo", "affiliation": "Louisiana State University", "orcid": "0000-0003-2501-2334" }, { "name": "Dodhia, Rahul", "affiliation": "Microsoft AI for Good", "orcid": "0000-0003-3812-3906" }, { "name": "Arbelaez, Pablo", "affiliation": "Universidad de Los Andes", "orcid": "0000-0001-5244-2407" }, { "name": "Lavista Ferres, Juan M.", "affiliation": "Microsoft AI for Good", "orcid": "0000-0002-9654-3178" } ], "version": [ { "index": 1, "is_last": true, "parent": { "pid_type": "recid", "pid_value": "18554918" } } ], "url": "https://zenodo.org/records/18563039" }, "categories": [ { "id": 0, "name": "AVEVOC", 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