Etudier, quantifier, prévoir les impacts du climat et des activités humaines sur les ressources en eau des régions méditerranéennes et tropicales
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201 to 210 of 240 Results
ZIP Archive - 473.8 KB - MD5: 217b980f7642ff7f5d1cbf0d15cd4206
Data
Time series for annual maximum runoff, one file per station. Columns are the year, month, day and the data as the last column
ZIP Archive - 425.6 KB - MD5: 8f7bbbe3105d31fa3c91c33004b8540f
Data
Time series for mean annual runoff, one file per station. Columns are the year, month, day and the data as the last column
ZIP Archive - 946.9 KB - MD5: 8dde72332dc5acc07b0abd041323db53
Data
Annual values for the 5th, 10th, 25th, 50th 75th, 90th, 95th and 99th percentiles of daily streamflow, one file per station. The year is the first column and then the other columns contain the percentile values.
ZIP Archive - 119.0 MB - MD5: ab14739062f021a026a33475da511ef1
Documentation
Plots of the catchment area for each basin, in .PNG format
ZIP Archive - 33.9 MB - MD5: 9cddc3c5864bda46f30cc2125cb91ba3
Documentation
Plots of the daily discharge data available for each station.
ZIP Archive - 6.2 MB - MD5: e8cda031b91251175c290c43aa544835
Data
Monthly mean, maximum and minimum runoff (last column is the number of missing days per month) ; one file per station. Columns are year, month, mean, maximum and minimum monthly runoff, the last column is the number of missing days per month
Tabular Data - 278.9 KB - 27 Variables, 1466 Observations - UNF:6:LolZTyVRT/QtZCnkepJHoQ==
Datametadata, description
List of stations, with station codes and characteristics.
Tabular Data - 332.3 KB - 44 Variables, 1466 Observations - UNF:6:K3v2GAcCHyfHHVMmoIs/IA==
Data
Overall data summary per station: mean daily streamflow, standard deviation of daily streamflow, minimum daily streamflow, maximum daily streamflow, mean monthly streamflow, percentiles of daily streamflow variables.
PNG Image - 333.4 KB - MD5: 4a8d3a73c41c171dd12f2a68906990cd
Documentation
Logo
Jul 22, 2020 - MeDo project
Chahinian, Nanée; Bonnabaud La Bruyère, Thierry; Conrad, Serge; Delenne, Carole; Frontini, Francesca; Panckhurst, Rachel; Roche, Mathieu; Sautot, Lucile; Deruelle, Laurent; Teisseire, Maguelonne, 2020, "Gold Standard du projet MeDo", https://doi.org/10.23708/H0VXH0, DataSuds, V1
Cet ensemble de données comporte les documents utilisés pour l’apprentissage des modules NER (Named Entity Recognition) du projet MeDo (http://webmedo.msem.univ-montp2.fr/?page_id=12). Les documents originaux ont été requêtés sur le web, convertis au format texte et nettoyés. Les...
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