Search datasets for "queryValue"
657 datasets found for "queryValue"
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Replication Data for: A comparison between three machine learning methods for... N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaGenomic selection (GS) provides a new way for plant breeders select the best genotype. It draws upon historical phenotypic and genotypic information for training a statistical machine learning model which is used for predicting phenotypic (or breeding) values of new lines for which only genotypic information is available. Many statistical machine learning...Created January 20, 2025 • Updated January 20, 2025 -
TAMASA Tanzania. Agronomy Panel Survey (APS) 2016. Crop Cut & Soil data N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThe 2016 Agronomy Panel Survey (APS) for Tanzania is the first wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). The APS is a detailed farm household survey with agronomic, yield and soils...Created January 20, 2025 • Updated January 20, 2025 -
LASAC_20220204_BISHOFTU N3 | TTL | RDF/XML | JSON-LD
Space Science and Geospatia Institute (SSGI)2m Resolution RGB BandCreated October 24, 2024 • Updated October 24, 2024 -
Combining Ability of Lowland Adapted Ethiopian Sorghum Hybrids for Yield N3 | TTL | RDF/XML | JSON-LD
Ethiopian Institute of Agricultural Research (EIAR)This study was conducted with the objective to assess the performances of hybrids developed from early and medium maturing lowland adapted Ethiopian sorghum inbred lines. A total of 95 hybrids and three checks were tested using alpha lettuce design with two replications at Meiso and Sheraro. All agronomic practices were done on time as recommended. Based...Created March 18, 2023 • Updated December 30, 2023 -
Africa SoilGrids - Root zone plant available water holding capacity aggregate... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Plant available water holding capacity (v%) of the soil fine earth fraction, with field capacity defined at h=200 cm or pF 2.3, aggregated over the Effective Root Zone Depth for Maize, mapped at 1km resolutionCreated October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Grade of a sub-soil being acid e.g. having a pH lower... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Grade of a sub-soil being acid e.g. having a pH greater than 5 and low BS predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE'). Measurement units: grade.Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Root zone depth limiting soil factor N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Rootable depth limiting soil factor for maize, mapped at 1km resolutionCreated October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Soil organic carbon stock in tons per ha at 3 IPCC de... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Soil organic carbon stock in tons per ha for ICCP depth intervals predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE'). Measurement units: t / ha.Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Coarse fragments volumetric N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Coarse fragments volumetric in % at 7 standard depths predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE'). Measurement units: v%.Created October 25, 2023 • Updated October 25, 2023 -
LASAC_20220204_AA13 N3 | TTL | RDF/XML | JSON-LD
Ethiopian Institute of Agricultural Research (EIAR)2m Resolution RGB BandCreated September 3, 2025 • Updated October 23, 2025 -
Regionalboundary N3 | TTL | RDF/XML | JSON-LD
Ethiopian Institute of Agricultural Research (EIAR)No abstract provided.Created September 3, 2025 • Updated September 3, 2025 -
TAMASA Tanzania. Agronomy Panel Survey (APS) 2016. Household data N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThe 2016 Agronomy Panel Survey (APS) for Tanzania is the first wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). The APS is a detailed farm household survey with agronomic, yield and soils...Created January 20, 2025 • Updated January 20, 2025 -
TAMASA Tanzania. Agronomy Panel Survey (APS) 2017. Household data N3 | TTL | RDF/XML | JSON-LD
CIMMYT EthiopiaThe 2017 Agronomy Panel Survey (APS) for Tanzania is the second wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). The APS is a detailed farm household survey with agronomic, yield and soils...Created January 20, 2025 • Updated January 20, 2025 -
LASAC_20220204_AA22 N3 | TTL | RDF/XML | JSON-LD
Space Science and Geospatia Institute (SSGI)2m Resolution RGB BandCreated October 24, 2024 • Updated October 24, 2024 -
LASAC_20220204_AA14 N3 | TTL | RDF/XML | JSON-LD
Space Science and Geospatia Institute (SSGI)2m Resolution RGB BandCreated October 24, 2024 • Updated October 24, 2024
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