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Simbi database: historical hydro-meteorological time series and catchment attributes in Haiti, 1905-2005
Simbi database: historical hydro-meteorological time series and catchment attributes in Haiti, 1905-2005
Jul 2, 2024 - LMI CARIBACT
Bathelemy, Ralph; Brigode, Pierre; Andréassian, Vazken; Perrin, Charles; Moron, Vincent; Gaucherel, Cédric; Tric, Emmanuel; Boisson, Dominique, 2023, "Simbi database: historical hydro-meteorological time series and catchment attributes in Haiti, 1905-2005", https://doi.org/10.23708/02POK6, DataSuds, V6
Haiti is highly exposed to hydro-climatic hazards. However, no database exists for the scientific community to characterize these hazards. To fill this gap, hydro-climatic data were compiled to create the first historical database in Haiti. This database, called Simbi, will contr...
00_SIMBI_OBSERVED_DATA.zip
Jul 2, 2024 - Simbi database: historical hydro-meteorological time series and catchment attributes in Haiti, 1905-2005
ZIP Archive - 2.7 MB - MD5: dc9072b4bed3ac7891d3cc2ab148febd
Data
Observed data on rainfall, air temperature and streamflow.
SIMBI_README.txt
Jul 2, 2024 - Simbi database: historical hydro-meteorological time series and catchment attributes in Haiti, 1905-2005
Plain Text - 37.2 KB - MD5: 588bc21a95bb4b79b945c918331063bb
Documentation
Database contents (summary)
Land use land cover ultra-high-spatial-resolution digital maps (5-cm) for 4 urban districts of the city of Bouaké (Air France, Belleville, Koko, Sossoribougou), center Côte d'Ivoire, 2020
Land use land cover ultra-high-spatial-resolution digital maps (5-cm) for 4 urban districts of the city of Bouaké (Air France, Belleville, Koko, Sossoribougou), center Côte d'Ivoire, 2020
May 24, 2024 - UMR MIVEGEC
Kouassi, Arsène Adou; Taconet, Paul; Koné, Aboubacar; Koffi, Laurent Niamien; Catry, Thibault; Marti, Renaud; Dessay, Nadine; Delaitre, Eric; Fournet, Florence, 2023, "Land use land cover ultra-high-spatial-resolution digital maps (5-cm) for 4 urban districts of the city of Bouaké (Air France, Belleville, Koko, Sossoribougou), center Côte d'Ivoire, 2020", https://doi.org/10.23708/PUYNSG, DataSuds, V3, UNF:6:dyGQe7mTss4FO+8xYhWzng== [fileUNF]
This dataset provides ultra-high-spatial-resolution Land Use / Land Cover (LULC) digital maps of 4 urban districts of Bouaké, a city located in center Côte d’Ivoire (Ivory Coast). They were produced using images acquired by Unmanned Aerial Vehicles (UAVs) in 2020 at a spatial res...
2_LULC_IvoryCoast_Bouake_2020_readme.txt
May 24, 2024 - Land use land cover ultra-high-spatial-resolution digital maps (5-cm) for 4 urban districts of the city of Bouaké (Air France, Belleville, Koko, Sossoribougou), center Côte d'Ivoire, 2020
Plain Text - 3.6 KB - MD5: 92cda516b4a2d7729660deef3b843226
Documentation
Dataset citation and description
Measuring Amazon rainfall intensity with sound recorders: data and code
Measuring Amazon rainfall intensity with sound recorders: data and code
May 21, 2024 - UMR GET
Xavier, Rodrigo; Fleischmann, Ayan; Gosset, Marielle; Maciel, Tarcísio; Do Nascimento, Leandro; Ramalho, Emiliano; Bicudo, Thiago, 2023, "Measuring Amazon rainfall intensity with sound recorders: data and code", https://doi.org/10.23708/I0QYNM, DataSuds, V2, UNF:6:cXAvk8vWVI++coJPWKSnaA== [fileUNF]
Many regions still lack a network of ground weather observations, hampering effective climate monitoring and disaster management. In the Amazon basin, this occurs due to its remoteness and the challenging measurement of rainfall within the forest. Innovative rainfall estimation m...
psds_chavascal.tab
May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code
Tabular Data - 15.9 MB - 517 Variables, 3027 Observations - UNF:6:am6cSO1jVKdN5mqReymvHA==
Data
Test dataset
psds_low_varzea.tab
May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code
Tabular Data - 32.4 MB - 517 Variables, 6308 Observations - UNF:6:IL4rv/Alts6mLKH6QrEMRA==
Data
Test dataset
psds_training.tab
May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code
Tabular Data - 363.7 MB - 516 Variables, 48208 Observations - UNF:6:jTD/itqKxc5wvbFtqhf0Gg==
Data
Data used for training the models
sound_of_rainfall_Amazon_ReadMe.pdf
sound_of_rainfall_Amazon_ReadMe.pdf
May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code
Adobe PDF - 28.2 KB - MD5: 5a4a82a66d96b19d45701029d0e15e8a
Documentation
Dataset citation, description and terms of use
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