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L’entrepôt de données DataSuds propose aux scientifiques de l’IRD et à leurs partenaires un service pour préserver, diffuser et valoriser leurs données de recherche en facilitant leur identification, leur référencement et leur citation. En tant que plateforme de publication de données, il constitue l'un des éléments du dispositif de la Science Ouverte pour le Sud que promeut l’IRD.

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101 to 110 of 9,587 Results
baseline_uece.tab
Apr 23, 2026 - Replication Data for:Rainfall monitoring based on spectral analysis of sound recordings in different geographical locations
Tabular Data - 163.8 KB - 514 Variables, 24 Observations - UNF:6:bvVTmeKPNUmwR1FqMvV6fQ==
Data
CSV of the PSD dry-weather baseline for the UECE (Fortaleza) site
psds_abj.tab
Apr 23, 2026 - Replication Data for:Rainfall monitoring based on spectral analysis of sound recordings in different geographical locations
Tabular Data - 8.1 MB - 518 Variables, 734 Observations - UNF:6:LqtCnZayvn4Ertt+zejP4w==
Data
CSV containing the extracted PSD's of audio files for seven rainfall events over the ABJ site, with the respective rain gauge data
psds_ch.tab
Apr 23, 2026 - Replication Data for:Rainfall monitoring based on spectral analysis of sound recordings in different geographical locations
Tabular Data - 3.5 MB - 518 Variables, 322 Observations - UNF:6:c9ddPCMKXLWfusovXqJGyQ==
Data
CSV containing the extracted PSD's of audio files for seven rainfall events over the CH site, with the respective rain gauge data
psds_hv.tab
Apr 23, 2026 - Replication Data for:Rainfall monitoring based on spectral analysis of sound recordings in different geographical locations
Tabular Data - 5.5 MB - 518 Variables, 496 Observations - UNF:6:FOpqOfPn1snhzr8dgBWo0Q==
Data
CSV containing the extracted PSD's of audio files for seven rainfall events over the HV site, with the respective rain gauge data
psds_idsm.tab
Apr 23, 2026 - Replication Data for:Rainfall monitoring based on spectral analysis of sound recordings in different geographical locations
Tabular Data - 5.2 MB - 518 Variables, 476 Observations - UNF:6:73+CMwjAgJyqhsQlJWYuTw==
Data
CSV containing the extracted PSD's of audio files for seven rainfall events over the IDSM site, with the respective rain gauge data
psds_lv.tab
Apr 23, 2026 - Replication Data for:Rainfall monitoring based on spectral analysis of sound recordings in different geographical locations
Tabular Data - 3.5 MB - 518 Variables, 316 Observations - UNF:6:q6j8Ehi9Q33V3Eld8DprNw==
Data
CSV containing the extracted PSD's of audio files for seven rainfall events over the LV site, with the respective rain gauge data
psds_tls-1.tab
Apr 23, 2026 - Replication Data for:Rainfall monitoring based on spectral analysis of sound recordings in different geographical locations
Tabular Data - 12.6 MB - 518 Variables, 1144 Observations - UNF:6:4fVTd+pMZhYYe8FRk3fP/Q==
Data
CSV containing the extracted PSD's of audio files for seven rainfall events over the TLS-1 site, with the respective rain gauge data
psds_tls-2.tab
Apr 23, 2026 - Replication Data for:Rainfall monitoring based on spectral analysis of sound recordings in different geographical locations
Tabular Data - 13.4 MB - 518 Variables, 1216 Observations - UNF:6:KR/oDTKh2B+xGGrYqhz4ZA==
Data
CSV containing the extracted PSD's of audio files for seven rainfall events over the TLS-2 site, with the respective rain gauge data
psds_uece.tab
Apr 23, 2026 - Replication Data for:Rainfall monitoring based on spectral analysis of sound recordings in different geographical locations
Tabular Data - 5.1 MB - 518 Variables, 462 Observations - UNF:6:aGxas6pN+1AB3d50k0pY9A==
Data
CSV containing the extracted PSD's of audio files for seven rainfall events over the UECE site, with the respective rain gauge data
rain_metric.ipynb
Apr 23, 2026 - Replication Data for:Rainfall monitoring based on spectral analysis of sound recordings in different geographical locations
Jupyter Notebook - 18.3 MB - MD5: 7f6310bf9264dc4451b6b7895e853480
Code
Interactive Jupyter Notebook environment with a simple code, used to calculate and plot the acoustic metric based on PSD values of rainfall events and a local dry-weather baseline, and a brief illustration of the study sites, as well as the methodology that was utilized.
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