DataSuds

Metrics

138,485 Downloads

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.

Comment publier un jeu de données (dataset) dans DataSuds ?
→ Support utilisateurs : demander l'accès à une collection existante (laboratoire, équipe, projet) ou la création d'une nouvelle collection. → Mode d'emploi

UMI TransVIHMI

UMR CEREGE

UMR ESPACE-DEV

UMR PHIM

UMR DIADE

Base cartographique Sphaera

Partnerships

UMR iEES-Paris

UMR AMAP

UMR HydroSciences Montpellier

UMR Entropie

UMR MIO

UMR MoISA

UMR MIVEGEC

UMR GET

UMI SOURCE

UMR EGCE

UMR Eco&Sols

UMR INTERTRYP

UMR QualiSud

UMR LEMAR

UMR LEDa

UMR PHARMADEV

UMR CBGP

UMR PALOC

UMR MERIT

UMI UMMISCO

UMR SENS

UMR Ceped

UMR IGE

UMR LMV

UMR MARBEC

UMR G-EAU

UMR Geoazur

LMI CARIBACT

Mission pour la Science Ouverte (MSO)

LMI PathoBios

Data collected as part of M-TROPICS based research projects

Rain Cell projects

AMMA-CATCH associated projects

Paddle project

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

311 to 320 of 9,236 Results

Hydrological and hydrochemical data collected from Van Uc River and estuary (Vietnam), 02-05 October 2022 Sep 22, 2025 - Field campaigns data Penicaud, Juliette; Duy Vinh, Vu; Ouillon, Sylvain; Herrmann, Marine; Nguyen, Minh Hai, 2025, "Hydrological and hydrochemical data collected from Van Uc River and estuary (Vietnam), 02-05 October 2022", https://doi.org/10.23708/MY6CJH, DataSuds, V2, UNF:6:EeKL0iEa0pEBidduogEgAQ== [fileUNF] These data were collected in the frame of Juliette Penicaud’s PhD at LEGOS (Toulouse, France), whose subject is the model-based study of dynamics and hydrosedimentary processes in the riverine estuary and in the plume of the Red River, East Sea of Vietnam. The general objective o...
ReadMe_MY6CJH.txt Sep 22, 2025 - Hydrological and hydrochemical data collected from Van Uc River and estuary (Vietnam), 02-05 October 2022 Plain Text - 4.5 KB - MD5: b674c2f31c4498b3ca717a6afbca276f Documentation Contains citation, description and conditions of use of dataset data
Hydrological and hydrochemical data collected from Van Uc River and estuary (Vietnam), 12-14 December 2017 Sep 22, 2025 - Field campaigns data Piton, Violaine; Vu, Duy Vinh; Herrmann, Marine; Ouillon, Sylvain, 2025, "Hydrological and hydrochemical data collected from Van Uc River and estuary (Vietnam), 12-14 December 2017", https://doi.org/10.23708/QTDCTF, DataSuds, V2, UNF:6:ElXvoCegjNvGTQ7XSGZqrg== [fileUNF] These data were collected in the frame of Violaine Piton’s PhD at LEGOS (Toulouse, France), whose subject is to study the dynamics and sediment transport along the estuary-coastal area continuum. The evolution of the Red River delta in terms of siltation, erosion and accretion of...
ReadMe_QTDCTF.txt Sep 22, 2025 - Hydrological and hydrochemical data collected from Van Uc River and estuary (Vietnam), 12-14 December 2017 Plain Text - 3.2 KB - MD5: b958cfc8cdfb345d0541f3eac81396e8 Documentation Contains citation, description and conditions of use of dataset data
Testing the impact of environmental variables on the predictive performance of genomic offset statistics: crop-specific metrics computed from the EWEMBI v.1 climate dataset. Sep 17, 2025 - DYNADIV Team Kaczmarek, Thomas; Faye, Adama; Ilmi Ahmed, Aicha; Veltman, Margaretha; Thuillet, Anne-Celine; Scarcelli, Nora; Sultan, Benjamin; Vigouroux, Yves; Cubry, Philippe, 2025, "Testing the impact of environmental variables on the predictive performance of genomic offset statistics: crop-specific metrics computed from the EWEMBI v.1 climate dataset.", https://doi.org/10.23708/M9YGDC, DataSuds, V1, UNF:6:EdX+/x3auhCXDY0Q7OgZ4g== [fileUNF] The ability of species and populations to adapt to their environment faces increasing challenges as climate change accelerates. Recent methods based on genomic offset (GO) statistics aim to quantify the risk of non-adaptation of populations to future climates. While several studi...
climateMetrics_EWEMBI_liebmann_west_africa_1979-2013.nc Sep 17, 2025 - Testing the impact of environmental variables on the predictive performance of genomic offset statistics: crop-specific metrics computed from the EWEMBI v.1 climate dataset. Network Common Data Form - 123.6 MB - MD5: 69a3987dbf4cc68d86230068ffeed8cc Données A NetCDF file with climate crop-specific metrics stored for each pixel (resolution 0.5°) located within a defined area covering West Africa.
climatemetrics_mil173Landraces_EWEMBI_Liebmann_1979-1990.tab Sep 17, 2025 - Testing the impact of environmental variables on the predictive performance of genomic offset statistics: crop-specific metrics computed from the EWEMBI v.1 climate dataset. Tabular Data - 508.5 KB - 185 Variables, 173 Observations - UNF:6:EdX+/x3auhCXDY0Q7OgZ4g== Données Precipatation, Temperature and radiation crop-specific climate variables computed and extracted from the EWEMBI (V1) dataset, for 173 populations of pearl millet.
Dictionary_cropmetrics.pdf Sep 17, 2025 - Testing the impact of environmental variables on the predictive performance of genomic offset statistics: crop-specific metrics computed from the EWEMBI v.1 climate dataset. Adobe PDF - 25.0 KB - MD5: baaa5328ffa5ac93176b65b0d2789aa8 Documentation Dictionary of crop climate metrics
extract_pixels_from_netcdf.py Sep 17, 2025 - Testing the impact of environmental variables on the predictive performance of genomic offset statistics: crop-specific metrics computed from the EWEMBI v.1 climate dataset. Python Source Code - 6.7 KB - MD5: bebbb223232f0f478feb8cdcd2685b46 Code A python script that extracts crop-specific metrics from the netCDF file, with a passport file containing geographical coordinates.
ReadMe_M9YGDC.txt Sep 17, 2025 - Testing the impact of environmental variables on the predictive performance of genomic offset statistics: crop-specific metrics computed from the EWEMBI v.1 climate dataset. Plain Text - 1.8 KB - MD5: b4beefe745809f4a1f5ca15b1dba090f Documentation Contains citation, description and conditions of use of dataset data

Hydrological and hydrochemical data collected from Van Uc River and estuary (Vietnam), 02-05 October 2022

Sep 22, 2025 - Field campaigns data

Penicaud, Juliette; Duy Vinh, Vu; Ouillon, Sylvain; Herrmann, Marine; Nguyen, Minh Hai, 2025, "Hydrological and hydrochemical data collected from Van Uc River and estuary (Vietnam), 02-05 October 2022", https://doi.org/10.23708/MY6CJH, DataSuds, V2, UNF:6:EeKL0iEa0pEBidduogEgAQ== [fileUNF]

These data were collected in the frame of Juliette Penicaud’s PhD at LEGOS (Toulouse, France), whose subject is the model-based study of dynamics and hydrosedimentary processes in the riverine estuary and in the plume of the Red River, East Sea of Vietnam. The general objective o...

ReadMe_MY6CJH.txt

Sep 22, 2025 - Hydrological and hydrochemical data collected from Van Uc River and estuary (Vietnam), 02-05 October 2022

Plain Text - 4.5 KB -

Documentation

Contains citation, description and conditions of use of dataset data

Hydrological and hydrochemical data collected from Van Uc River and estuary (Vietnam), 12-14 December 2017

Sep 22, 2025 - Field campaigns data

Piton, Violaine; Vu, Duy Vinh; Herrmann, Marine; Ouillon, Sylvain, 2025, "Hydrological and hydrochemical data collected from Van Uc River and estuary (Vietnam), 12-14 December 2017", https://doi.org/10.23708/QTDCTF, DataSuds, V2, UNF:6:ElXvoCegjNvGTQ7XSGZqrg== [fileUNF]

These data were collected in the frame of Violaine Piton’s PhD at LEGOS (Toulouse, France), whose subject is to study the dynamics and sediment transport along the estuary-coastal area continuum. The evolution of the Red River delta in terms of siltation, erosion and accretion of...

ReadMe_QTDCTF.txt

Sep 22, 2025 - Hydrological and hydrochemical data collected from Van Uc River and estuary (Vietnam), 12-14 December 2017

Plain Text - 3.2 KB -

Documentation

Contains citation, description and conditions of use of dataset data

Testing the impact of environmental variables on the predictive performance of genomic offset statistics: crop-specific metrics computed from the EWEMBI v.1 climate dataset.

Sep 17, 2025 - DYNADIV Team

Kaczmarek, Thomas; Faye, Adama; Ilmi Ahmed, Aicha; Veltman, Margaretha; Thuillet, Anne-Celine; Scarcelli, Nora; Sultan, Benjamin; Vigouroux, Yves; Cubry, Philippe, 2025, "Testing the impact of environmental variables on the predictive performance of genomic offset statistics: crop-specific metrics computed from the EWEMBI v.1 climate dataset.", https://doi.org/10.23708/M9YGDC, DataSuds, V1, UNF:6:EdX+/x3auhCXDY0Q7OgZ4g== [fileUNF]

The ability of species and populations to adapt to their environment faces increasing challenges as climate change accelerates. Recent methods based on genomic offset (GO) statistics aim to quantify the risk of non-adaptation of populations to future climates. While several studi...

climateMetrics_EWEMBI_liebmann_west_africa_1979-2013.nc

Sep 17, 2025 - Testing the impact of environmental variables on the predictive performance of genomic offset statistics: crop-specific metrics computed from the EWEMBI v.1 climate dataset.

Network Common Data Form - 123.6 MB -

Données

A NetCDF file with climate crop-specific metrics stored for each pixel (resolution 0.5°) located within a defined area covering West Africa.

climatemetrics_mil173Landraces_EWEMBI_Liebmann_1979-1990.tab

Sep 17, 2025 - Testing the impact of environmental variables on the predictive performance of genomic offset statistics: crop-specific metrics computed from the EWEMBI v.1 climate dataset.

Tabular Data - 508.5 KB - 185 Variables, 173 Observations -

Données

Precipatation, Temperature and radiation crop-specific climate variables computed and extracted from the EWEMBI (V1) dataset, for 173 populations of pearl millet.

Dictionary_cropmetrics.pdf

Sep 17, 2025 - Testing the impact of environmental variables on the predictive performance of genomic offset statistics: crop-specific metrics computed from the EWEMBI v.1 climate dataset.

Adobe PDF - 25.0 KB -

Documentation

Dictionary of crop climate metrics

extract_pixels_from_netcdf.py

Sep 17, 2025 - Testing the impact of environmental variables on the predictive performance of genomic offset statistics: crop-specific metrics computed from the EWEMBI v.1 climate dataset.

Python Source Code - 6.7 KB -

Code

A python script that extracts crop-specific metrics from the netCDF file, with a passport file containing geographical coordinates.

ReadMe_M9YGDC.txt

Sep 17, 2025 - Testing the impact of environmental variables on the predictive performance of genomic offset statistics: crop-specific metrics computed from the EWEMBI v.1 climate dataset.