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201 to 210 of 8,481 Results

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...
Data_Use_Agreement_RBYKRO.docx Sep 15, 2025 - Attitudes and behaviors in a fragile state, a list experiment in Mali, survey data (Mali, 2021), code and documentations MS Word - 13.3 KB - MD5: cd127f2cd061bd841a3a9e57e1eff331 Documentation Form for requesting access to restricted data. This form must be downloaded, completed, signed and sent to the contact point for this dataset and to data@ird.fr for any request for access to restricted data as described in the terms of use.
ReadMe_RBYKRO.txt Sep 15, 2025 - Attitudes and behaviors in a fragile state, a list experiment in Mali, survey data (Mali, 2021), code and documentations Plain Text - 1.7 KB - MD5: c5eb1170acd949cea552e100806b6cb1 Documentation Contains citation, description and conditions of use of dataset data
Bertelli_Calvo_Lavallee_Mesple-Somps_Mercier_WD_Data.tab Sep 15, 2025 - Attitudes and behaviors in a fragile state, a list experiment in Mali, survey data (Mali, 2021), code and documentations Tabular Data - 541.1 KB - 72 Variables, 1719 Observations - UNF:6:Cx+yiwsQNWqhWd16VhfDnw== Données Data file (CSV format)

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...

Data_Use_Agreement_RBYKRO.docx

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

MS Word - 13.3 KB -

Documentation

Form for requesting access to restricted data. This form must be downloaded, completed, signed and sent to the contact point for this dataset and to data@ird.fr for any request for access to restricted data as described in the terms of use.

ReadMe_RBYKRO.txt

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

Plain Text - 1.7 KB -

Documentation

Contains citation, description and conditions of use of dataset data

Bertelli_Calvo_Lavallee_Mesple-Somps_Mercier_WD_Data.tab

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

Tabular Data - 541.1 KB - 72 Variables, 1719 Observations -

Données

Data file (CSV format)

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