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141 to 150 of 1,262 Results
May 17, 2024 - UMR AMAP
Molino, Jean-François; Sabatier, Daniel; Engel, Julien, 2024, "The GUYADIV dataset", https://doi.org/10.23708/RLYCVQ, DataSuds, V1, UNF:6:A9pC2xFo1wPIikryg0bVGQ== [fileUNF]
Data collected on the trees inventoried on the forest plots of the GUYADIV network. The first plots were installed in 1986 by Daniel Sabatier and Marie-Françoise Prévost. Since then, the network has grown with the contribution of several other scientists, notably Jean-François Mo...
May 16, 2024 - DYNADIV Team
Barnaud, Adeline; Veltman, Margaretha; Kaczmarek, Thomas; Argout, Xavier; Vigouroux, Yves; Berthouly-Salazar, Cecile; Billot, Claire, 2024, "High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)", https://doi.org/10.23708/ETC16I, DataSuds, V1, UNF:6:ON0wb/ZYjxl4qqjnr8NEPA== [fileUNF]
Marginal land is land that is of little agricultural value because crops produced there would be worth less than any rent paid for access to the area. Helping to develop such zones in Africa is a key goal for the EU-funded EWA-BELT project. The aim is to promote the sustainable i...
May 13, 2024 - UMR INTERTRYP
Lejon, Veerle; Bieler, Sylvain; Camara, Oumou; N'djetchi, Kassi Martial; Jamonneau, Vincent; Bart, Jean-Mathieu; Bucheton, Bruno; Solano, Philippe; Rotureau, Brice; Kaba, Dramane; N'dri, Louis; Koffi, Mathurin; Bessell, Paul; Tall, Alkali; Glover, Lucy; Kaboré, Jacques; Traoré, Mélika Barkissa; Koné, Minayegninrin; Coulibaly, Bamoro; Adingra, Guy Pacome; Soumah, Aissata; Gassama, Mohamed; Camara, Abdoulaye Dansy; Compaoré, Charlie Franck Alfred; Camara, Aïssata; Boiro, Salimatou; Anton, Elena Perez; Van Reet, Nick, 2022, "Prospective evaluation of the specificity of serological tests for Human African Trypanosomiasis: documentation and data", https://doi.org/10.23708/APDHAG, DataSuds, V2, UNF:6:YotwBzPtoexYPPvj80gWtA== [fileUNF]
In the last decade, the prevalence of Trypanosoma brucei gambiense (Tbg) human African trypanosomiasis (HAT) has fallen and HAT has been targeted for transmission interruption by 2030. To achieve this goal, disease surveillance remains essential and is based on the identification...
May 13, 2024 - UMR IGE
Rodrigues Do Amaral, Francisco; Camenen, Benoit; Nguyen, Trung Tin; Tran, Anh Tu; Pellarin, Thierry; Gratiot, Nicolas, 2024, "Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022", https://doi.org/10.23708/KLQMSR, DataSuds, V1, UNF:6:PGOnzXhvk15rYLhlrVTmig== [fileUNF]
This dataset is the result of a publication that explores calibration strategies and operational implications of 1D hydrodynamic modeling using the Mage code in the Saigon-Dongnai system in Vietnam. Three calibration approaches for the Mage model are evaluated, and coupling with...
May 6, 2024 - UMR CESBIO
Ferrant, Sylvain; Selles, Adrien; Thierion, Vincent, 2024, "Étendue de la superficie rizicole saisonnière dans l'état du Telangana (Inde du Sud) - Données raster", https://doi.org/10.23708/1f7bb3d2-4223-4e1d-a39d-7e432bcbbb34, DataSuds-geo
L'étendue saisonnière de la zone de culture du riz est une variable agro-hydrologique cruciale en Inde, fortement liée aux fluctuations des eaux de surface et des eaux souterraines, elles-mêmes liées à la variabilité du climat et aux extractions d'eau antérieures pour l'irrigatio...
Cet ensemble de de données est moissonné auprès de nos partenaires. En cliquant sur le lien, vous accédez directement au dépôt source des données.
May 6, 2024 - UMR CESBIO
Ferrant, Sylvain; Selles, Adrien, 2024, "Étendue de la superficie rizicole saisonnière à Telangana (Inde du Sud) - Données vectorielles", https://doi.org/10.23708/dab0b558-ef5f-4df1-ba7c-714dff15b6ec, DataSuds-geo
L'étendue saisonnière de la zone de culture du riz est une variable agro-hydrologique cruciale en Inde, fortement liée aux fluctuations des eaux de surface et des eaux souterraines, elles-mêmes liées à la variabilité du climat et aux extractions d'eau antérieures pour l'irrigatio...
Cet ensemble de de données est moissonné auprès de nos partenaires. En cliquant sur le lien, vous accédez directement au dépôt source des données.
May 3, 2024 - UMI TransVIHMI
Taverne, Bernard; Laborde-Balen, Gabrièle; Sow, Khoudia; Ciaffi, Laura; Essi, Marie-José; Socpa, Antoine, 2024, "Grand âge et VIH au Cameroun et au Sénégal, anthropologie du vieillissement et de la maladie (2022-2024)", https://doi.org/10.23708/B09IQS, DataSuds, V1
Le vieillissement de la population est un phénomène qui se développe au plan mondial mais aussi en Afrique sub-saharienne. Il s’accompagne de l’apparition de maladies non transmissibles qui deviennent l’un des problèmes majeurs de santé publique. Grâce à l’efficacité des traiteme...
Apr 29, 2024 - UMR MIVEGEC
Lefèvre, Thierry; Ouattara, Seydou Bienvenu, 2024, "R script and replication data for: A simple and practical method to increase the infectivity of wild isolates of Plasmodium falciparum to mosquito vectors", https://doi.org/10.23708/F7S6I2, DataSuds, V1
Populations of the most important human malaria vectors in Africa offer instances of ongoing adaptations to new ecological niches set by human actions in the context of global change, with the dramatic consequence of emerging and re-emerging sustained malaria transmission in new...
Apr 29, 2024 - DYNADIV Team
Lorieux, Mathias; Triay, Cécile, 2024, "Called genotypes (chromosome 1) from Illumina whole-genome sequencing of an Indica x Japonica rice F2 population", https://doi.org/10.23708/8FXUNC, DataSuds, V1
Motivation: Genotyping of bi-parental populations can be performed with low-coverage next-generation sequencing (LC-NGS). This allows the creation of highly saturated genetic maps at reasonable cost, precisely localized recombination breakpoints (i.e., the crossovers), and minimi...
Apr 11, 2024 - UMR MERIT
Cottrell, Gilles; Bonnet, Emmanuel; Le Hesran, Jean-Yves; Yadouleton, Anges; Atchade, Aurore; Fiogbe, Marc; Abdoulaye Alfa, Daleb; Yovo, Emmanuel; Hounsa, Sandrine; Bationo, Cédric; Gonzalez, Raquel; Gaudart, Jean; Massougbodji, Achille, 2023, "STREESCO (STREngthening Epidemiological Surveillance in Benin and Burkina Faso for an effective response to COVID-19) : données et documentations du projet", https://doi.org/10.23708/DAGART, DataSuds, V2, UNF:6:0Lgijn8aQgM+GdNE2RpJgQ== [fileUNF]
Dans le cadre du projet STREESCO (STREngthening Epidemiological Surveillance in Benin and Burkina Faso for an effective response to COVID-19), la collecte systématique de données sur les résultats sanitaires comprend des méthodes de surveillance basées sur les événements, les pat...
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