diff --git a/README.md b/README.md index 57fc254..8fb11f6 100644 --- a/README.md +++ b/README.md @@ -28,7 +28,7 @@ You can find an explanation of each field in alphabetical order below. You can a | captureDevice | Hardware used to record the vocalisations. Write "Various" if several devices have been used. | "Lavalier microphone" | | continent | See https://ac.tdwg.org/termlist/#dwc_continent | "Europe" | | countryCode | ISO 3166-1 alpha-2 code of the country. For states or provinces, use preferably the codes defined in the standard ISO 3166-2 | One country: "FR",
One province: "CN-AH",
Several places: ["FR", "CN-AH"] | -| creators | List of the dataset's authors. | ['John Doe'] | +| creators | List of the dataset's authors. | ['John Doe'] or ["John Doe", "Jane Doe", "Jane Smith"] | | datePublished | Date when this version of the dataset was published, in the ISO 8601 format. | "2021-06-18T06:26:56.891644+00:00", or "2021-06-18" | | description | Description of the dataset. | | | labellingLevel | Whether the dataset is strongly labelled (with precise time annotations), weakly labelled (without time annotations), or not labelled. | "Strong", "Weak", "Unlabelled". | diff --git a/datasets_json/BIRDeep_AudioAnnotations.json b/datasets_json/BIRDeep_AudioAnnotations.json new file mode 100644 index 0000000..d958c12 --- /dev/null +++ b/datasets_json/BIRDeep_AudioAnnotations.json @@ -0,0 +1,38 @@ +{ + "additionalDescription": "", + "annotationsType": "Frequency bands, temporal windows and class (Specie, Genus, Family, Bird, Background)", + "captureDevice": "Audiomoths", + "continent": "Europe", + "countryCode": "ES", + "creators": [ + "Alba Márquez-Rodríguez", + "Miguel Ángel Muñoz-Mohedano", + "Manuel Jesús Marín-Jiménez", + "Eduardo Santamaría-García", + "Giulia Bastianelli", + "Irene Mendoza" + ], + "datePublished": "2024-07-30", + "description": "The BIRDeep Audio Annotations dataset is a collection of bird vocalizations from Doñana National Park, Spain. It was created as part of the BIRDeep project, which aims to optimize the detection and classification of bird species in audio recordings using deep learning techniques. The dataset is intended for use in training and evaluating models for bird vocalization detection and identification.", + "labellingLevel": "Strong", + "license": "MIT", + "lifeStage": "", + "locality": "9 sites across Doñana National Park", + "minAndMaxRecordingDuration": "", + "name": "BIRDeep_AudioAnnotations", + "numAnnotations": "3749", + "numAudioFiles": "521", + "numClasses": "38", + "numSpecies": "38", + "paperLink": null, + "physicalSetting": "", + "provider": "Estación Biológica de Doñana (EBD) - CSIC", + "recordingPeriod": "", + "recordingType": "continuous, 1 minute of each 10 minutes", + "sampleRate": "", + "sizeInGb": "", + "taxonomicClass": "Birds", + "totalDuration": "8.7", + "url": "https://huggingface.co/datasets/GrunCrow/BIRDeep_AudioAnnotations", + "version": "1.0" +}