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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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21 to 30 of 9,202 Results
ARCHAIST(IRD - Institut de Recherche pour le Développement)
ARCHAIST logo
Dec 4, 2025Projets ISEM
This collection gathers the data associated with the publications of the ANR ARCHAIST research project: “Impact of environmental and societal changes on the hunter-gatherer societies of southern Thailand.” This project aims to study the behaviors of ancient hunter-gatherer popula...
Projets ISEM(IRD - Institut de Recherche pour le Développement)
Projets ISEM logo
Dec 3, 2025UMR ISEM
UMR LOCEAN(Sorbonne Université, CNRS, IRD, MNHN)
UMR LOCEAN logo
Dec 2, 2025
Le Laboratoire d’Océanographie et du Climat: Expérimentations et Approches Numériques conduit des études sur les processus physiques et biogéochimiques de l’océan et leur rôle dans le climat en interaction avec les écosystèmes marins Les équipes de recherche abordent une large ga...
Global Coastal Total Water Level Variability and Exceedance Statistics (1958–2023)
Global Coastal Total Water Level Variability and Exceedance Statistics (1958–2023)
Nov 21, 2025 - UMR LEGOS
Boucharel, Julien; Almar, Rafael; Jin, Fei-Fei; Zhao, Sen; Stuecker, Malte; Dewitte, Boris, 2025, "Global Coastal Total Water Level Variability and Exceedance Statistics (1958–2023)", https://doi.org/10.23708/OUZPH4, DataSuds, V1
This dataset provides global monthly statistics of coastal total water levels (TWL) and associated exceedance metrics for the period January 1958 to December 2023. The Total Water Level (TWL) is defined as the sum of Sea Level Anomaly (SLA), wave runup (R), and tide (T). The data...
coastal_monthly_mean_max_hoursovertop_1958_2023_v1.nc
Nov 21, 2025 - Global Coastal Total Water Level Variability and Exceedance Statistics (1958–2023)
Network Common Data Form - 767.9 MB - MD5: be1f430938493d637388afae25448695
Données
Data file in NetCDF format
documentation.pdf
documentation.pdf
Nov 21, 2025 - Global Coastal Total Water Level Variability and Exceedance Statistics (1958–2023)
Adobe PDF - 116.0 KB - MD5: 894671a0cf4805064ac8e78735e751ee
Documentation
Documentation file describing how the data was produced
ReadMe_OUZPH4.txt
Nov 21, 2025 - Global Coastal Total Water Level Variability and Exceedance Statistics (1958–2023)
Plain Text - 2.4 KB - MD5: 8870158ec732c233a0765dd1dcc53731
Documentation
contains the citation, description and conditions of use, or even access, depending on the case, to the dataset
OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023).
OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023).
Nov 17, 2025 - UMR LISAH
Raclot, Damien; Hamdi, Radhouane, 2025, "OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023).", https://doi.org/10.23708/PPPPDL, DataSuds, V1
This dataset contains Rainfall, Evaporation, Discharge and Suspendend Sediment Concentration data over the period 1994-2023 from Kamech catchment, OMERE Observatory (Molenat et al., 2018, https://dx.doi.org/10.2136/vzj2018.04.0086). The OMERE long-term observation strategy intend...
ReadMe_10.23708_PPPPDL.txt
Nov 17, 2025 - OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023).
Plain Text - 1.5 KB - MD5: 4b5cda417eadfd57013c62987b1ed603
Documentation
contains the citation, description and conditions of use, or even access, depending on the case, to the dataset
Read_me.txt
Nov 17, 2025 - OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023).
Plain Text - 6.3 KB - MD5: 5e70cf66d5863f08b56efa3f3c68f445
Documentation
Documentation file for the data published through this dataset. Contains, in particular, a data dictionary describing the variables present in the data files.
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