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251 to 260 of 8,531 Results

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
Attitudes and behaviors in a fragile state, a list experiment in Mali, survey data (Mali, 2021), code and documentations Sep 15, 2025 - Equipe DIAL Bertelli, Olivia; Calvo, Thomas; Lavallée, Emmanuelle; Mercier, Marion; Mesple Somps, Sandrine, 2025, "Attitudes and behaviors in a fragile state, a list experiment in Mali, survey data (Mali, 2021), code and documentations", https://doi.org/10.23708/RBYQRO, DataSuds, V1, UNF:6:Cx+yiwsQNWqhWd16VhfDnw== [fileUNF] This data results from a nation wide experimental survey among 1509 male and female individuals on conflict-related attitudes and behaviors in Mali. It includes a List Experiments (LEs) and Direct Questions (DQs) to estimate prevalence rates and declarative biases of five indicat...
Bertelli_Calvo_Lavallee_Mesple-Somps_Mercier_WD_2021 002 Decision IRB.pdf Sep 15, 2025 - Attitudes and behaviors in a fragile state, a list experiment in Mali, survey data (Mali, 2021), code and documentations Adobe PDF - 323.1 KB - MD5: 9f062fcfa25f3b81b502bd299e18b056 Documentation Ethic Committee Aggreement

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.

Plain Text - 1.8 KB -

Documentation

Contains citation, description and conditions of use of dataset data

Attitudes and behaviors in a fragile state, a list experiment in Mali, survey data (Mali, 2021), code and documentations

Sep 15, 2025 - Equipe DIAL

Bertelli, Olivia; Calvo, Thomas; Lavallée, Emmanuelle; Mercier, Marion; Mesple Somps, Sandrine, 2025, "Attitudes and behaviors in a fragile state, a list experiment in Mali, survey data (Mali, 2021), code and documentations", https://doi.org/10.23708/RBYQRO, DataSuds, V1, UNF:6:Cx+yiwsQNWqhWd16VhfDnw== [fileUNF]

This data results from a nation wide experimental survey among 1509 male and female individuals on conflict-related attitudes and behaviors in Mali. It includes a List Experiments (LEs) and Direct Questions (DQs) to estimate prevalence rates and declarative biases of five indicat...

Bertelli_Calvo_Lavallee_Mesple-Somps_Mercier_WD_2021 002 Decision IRB.pdf

Sep 15, 2025 - Attitudes and behaviors in a fragile state, a list experiment in Mali, survey data (Mali, 2021), code and documentations

Adobe PDF - 323.1 KB -

Documentation

Ethic Committee Aggreement

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