241 to 250 of 1,262 Results
Apr 25, 2023 - UMR Eco&Sols
Jaillard, Benoît; Razanamalala, Kanto; Violle, Cyrille; Bernard, Laetitia, 2023, "Data from: Nonlinear Effects Induced by Interactions among Functional Groups of Bacteria and Fungi Regulate the Priming Effect in Malagasy Soils.", https://doi.org/10.15454/LRY3M2, Recherche Data Gouv
Data and R-code used in the paper Nonlinear Effects Induced by Interactions among Functional Groups of Bacteria and Fungi Regulate the Priming Effect in Malagasy Soils, by Benoît Jaillard, Kanto Razanamalala, Cyrille Violle and Laetitia Bernard, published in Microorganisms 2023,...This dataset is harvested from another repository. The link will take you directly to the source of the data. |
Apr 21, 2023 - UMR QualiSud
Namatsheve, Talent; Chikowo, Regis; Corbeels, Marc; Mouquet-Rivier, Claire; Icard-Vernière, Christèle; Cardinael, Rémi, 2023, "Data for: Maize-cowpea intercropping as an ecological intensification option for low input systems in sub-humid Zimbabwe: productivity, biological N2-fixation and grain mineral content", https://doi.org/10.18167/DVN1/IJOA5J
This dataset comprises data from on farm trials conducted in sub-humid Zimbabwe during two cropping seasons (2017/18-2018/19). The study investigated the effect of maize-cowpea intercropping on productivity, biological N2-fixation and grain mineral content compared to sole crops....This dataset is harvested from another repository. Clicking the link will take you directly to the source of the data. |
Apr 21, 2023 - OryzaGenomeData
SABOT, Francois, 2023, "MG12 data", https://doi.org/10.23708/1JST4X, DataSuds, V1
This data are the draft genome assembly of MG12 ans its annotation transfered from IRGSP1.0/Nipponbare ference genome. MG12 is a Oryza glaberrima variety involved in some CSSL crosses |
Guissou, Edwige; Cohuet, Anna; Lefèvre, Thierry; Da, Dari Frédéric; Hien, Domombabele François de Sales; Yameogo, Koudraogo Bienvenu; Yerbanga, Rakiswendé Serge; Ouédraogo, Anicet Georges; Dabiré, Kounbobr Roch, 2023, "Intervention reducing malaria parasite load in vector mosquitoes: no impact on Plasmodium falciparum extrinsic incubation period and the survival of Anopheles gambiae: analysis data and code", https://doi.org/10.23708/OJCZQD, DataSuds, V1, UNF:6:JN7Vu/FvwtipzLIIQRkhlQ== [fileUNF]
In the fight against malaria, transmission blocking interventions (TBIs) such as transmission blocking vaccines or drugs, are promising approaches to complement conventional tools. They aim to prevent the infection of vectors and thereby reduce the subsequent exposure of a human... |
Apr 3, 2023 - UMR LISAH
COULOUMA, Guillaume, 2023, "Carte pédologique du bassin versant de Roujan", https://doi.org/10.23708/bdc51796-f6a2-4afd-8ff8-26a73cc5f765, DataSuds-geo
Cette couche représente la carte des sols au 1/5000eme du bassin versant de Roujan (ORE OMERE). Elle est issue d’une numérisation du document synthétique de terrain correspondant à la carte pédologique au 1/5000ème du site. Les unités pédologiques sont détaillées dans la notice g...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Billard, Estelle; Thomas, Emilie; Perez, Manon; Boyer, Pascaline; Tollenaere, Charlotte, 2023, "Pathogenic diversity of rice yellow mottle virus isolates from western Burkina Faso (2015-2021): phenotypic evaluation data", https://doi.org/10.23708/MDQIUE, DataSuds, V1, UNF:6:s6z/ab1uEzE8BGyoZ906Dw== [fileUNF]
The rice yellow mottle virus (RYMV) constitutes a major threat to the actual development of rice cultivation in Africa. As climate change and agricultural intensification increase the risk of epidemics, there is an urgent need to understand the spatio-temporal dynamics of RYMV at... |
Barro, Mariam; Sérémé, Drissa; Bangratz, Martine; Kassankogno, Itolou Abalo; Wonni, Issa; Poulicard, Nils; Tollenaere, Charlotte, 2023, "Yellow mottle disease epidemiology: RYMV specific detection in field-collected leaves from western Burkina Faso (2015-2019)", https://doi.org/10.23708/GZCM1O, DataSuds, V1, UNF:6:QdAkQ0xLZwp669pBgerjJg== [fileUNF]
This project aims at a better understanding of yellow mottle disease epidemiology, both at the regional level, by comparing irrigated areas to rainfed lowland rice, and at the within-field level. The study area is located in western Burkina Faso, in a 100x100kms region within the... |
Rodrigues Do Amaral, Francisco; Nguyen, Trung Tin; Gratiot, Nicolas; Pellarin, Thierry, 2023, "High-resolution water level and discharge measurements from the Saigon-Dong Nai estuary system, Vietnam, 2022", https://doi.org/10.23708/NKQDNB, DataSuds, V1, UNF:6:mWcp4LMDvHYz+oaLv15f4w== [fileUNF]
Water level and discharge data contribute to environmental protection and help management agencies with a more reliable forecasting of river water levels and better decision making by researchers and policy makers regarding urban flooding and dam management. Water level measureme... |
Finaud-Guyot, Pascal; Guilliod, Maurice; Guinot, Vincent; Marchand, Pierre; Neppel, Luc; Salles, Christian; Toulemonde, Gwladys, 2023, "Rainfall data collected by the HSM urban observatory OMSEV (2019-)", https://doi.org/10.23708/67LC36, DataSuds, V1
The rainfall gauge network is equipped with tipping buckets (DAVIS Rain Collector 6465M, resolution 0.2mm). The collecting area is 214 cm². The raw data, corresponding to the number of tipping per minute, are UT referenced. A static and dynamic calibration was carried out followi... |
Dada, Olusegun; Morand, Pierre; Louarn, Aubree; Angnuureng, Donatus Bapentire; Almar, Rafael, 2023, "Coastal Vulnerability: Perception survey in Anlo Beach (Ghana), 2021", https://doi.org/10.23708/RN7RWS, DataSuds, V1
The vulnerability of coastal territories has multiple dimensions, making it difficult to assess. One way of collecting data about the vulnerability of coastal areas is to interview people living on the coast. These communities have information on the coastal phenomena that occur... |
