CIMMYT institutional network of scientific datasets and software repositories.
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2,151 to 2,160 of 13,424 Results
TAFSSA-Karnal On-station data sheets.XLSX
Jan 22, 2024 - Sustainable Intensification options for Transforming Agrifood Systems in Western IGP to Address Food and Nutritional Security, Research Platform, ICAR-CSSRI, Karnal
MS Excel Spreadsheet - 2.8 MB - MD5: a922742c63c201214b6dc414be010603
Data
TAFSSA On-station ICAR-CSSRI datasets
Replication Data for: Efficient Arabinoxylan Assay for Wheat: Exploring Variability and Molecular Marker Associations in Wholemeal and Refined Flour
Jan 19, 2024 - CIMMYT Research Data
Hernández-Espinosa, Nayelli; Posadas-Romano, Gabriel; Dreisigacker, Susanne; Crossa, Jose; Crespo, Leonardo; Ibba, Maria Itria, 2024, "Replication Data for: Efficient Arabinoxylan Assay for Wheat: Exploring Variability and Molecular Marker Associations in Wholemeal and Refined Flour", https://hdl.handle.net/11529/10548997, CIMMYT Research Data & Software Repository Network, V1
This dataset is derived from a study focused on developing an efficient method for arabinoxylan quantification, called PentoQuant. It includes phenotypic and molecular characterization data from 606 bread wheat samples developed through the spring bread wheat breeding program. Th...
Research Data.xlsx.gz
Jan 19, 2024 - Replication Data for: Efficient Arabinoxylan Assay for Wheat: Exploring Variability and Molecular Marker Associations in Wholemeal and Refined Flour
Gzip Archive - 56.5 KB - MD5: 4e7b715e8052292437e64bd404d08e10
DataGenotypic dataPhenotypic data
56IBWSN, 41SAWSN, and 34HRWSN - Gene-based marker data for marker-assisted selection
Jan 11, 2024 - CIMMYT Research Data
Dreisigacker, Susanne, 2024, "56IBWSN, 41SAWSN, and 34HRWSN - Gene-based marker data for marker-assisted selection", https://hdl.handle.net/11529/10548995, CIMMYT Research Data & Software Repository Network, V1
Gene-based marker data from international screening nurseries for marker-assisted selection
56IBWSN, 41SAWSN, 34HRWSN_results.xlsx.gz
Jan 11, 2024 - 56IBWSN, 41SAWSN, and 34HRWSN - Gene-based marker data for marker-assisted selection
Gzip Archive - 316.5 KB - MD5: 9eb54f021acad67b718d5c4b854deb36
DataGenotypic data
In-situ crop type data for the Terai region of Nepal for 2022-2023 winter season
Jan 10, 2024 - Cereal Systems Initiative for South Asia (CSISA) Research Data
Bajimaya, Dristy; Bade, Bikesh; Nepali, Sujan; Schulthess, Urs; Sherpa R, Sonam; Blasch, Gerald; Urfels, Anton; Kafle, Sagar; Karki, Saral; Kafle, Krishna, 2023, "In-situ crop type data for the Terai region of Nepal for 2022-2023 winter season", https://hdl.handle.net/11529/10548989, CIMMYT Research Data & Software Repository Network, V2
The Nepal Crop Type Survey 2022-2023 aims to comprehensively assess and categorize the diverse range of crops cultivated across various regions of Nepal. This survey endeavors to capture the agricultural landscape, identifying predominant crop types, their distribution, and culti...
NepalCropType_W22-23_Data.zip
Jan 10, 2024 - In-situ crop type data for the Terai region of Nepal for 2022-2023 winter season
ZIP Archive - 288.9 KB - MD5: d289e5debafdbc078204cf605d0460fd
Zipped folder comprises of the primary file namely 'nepalcroptype.shp' is a polygon shapefile delineating crop types across Nepal along with other datasets.
Digital Agricultural Innovation Survey - Kenya 2023
Jan 6, 2024 - CIMMYT Research Data
Kimenju, Simon; Waithira, Joyce; Nagaraji, Satish; Nuñez Jimenez, Daniel; Gardeazábal-Monsalve, Andrea, 2024, "Digital Agricultural Innovation Survey - Kenya 2023", https://hdl.handle.net/11529/10548991, CIMMYT Research Data & Software Repository Network, V1
The dataset provides detailed information regarding the implementation of digital technologies in the agricultural domain. It encompasses variables spanning a wide spectrum, from organizational details to the potential impact on various stakeholders within the agricultural sector...
Data_RapidAssessmentKenya.csv
Jan 6, 2024 - Digital Agricultural Innovation Survey - Kenya 2023
Comma Separated Values - 107.2 KB - MD5: eb53771593e18ba7ff4622e89c0fa519
Data_RapidAssessmentKenya.dta
Jan 6, 2024 - Digital Agricultural Innovation Survey - Kenya 2023
Stata Binary - 367.1 KB - MD5: 95a326fe9775457cd0d943be3bd4fc85
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