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1,340 datasets found

  • Extractable Boron N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Extractable Boron (mg/kg): Essential micronutrient that regulates the metabolism of carbohydrates in plants. It’s critical for new growth and assists in pollination, fertilization and more. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine learning models.
    Created October 24, 2024 • Updated January 22, 2025

  • CEC N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Cation Exchange Capacity (Cmol/kg): It is a is a measure of the soil’s ability to hold positively charged ions. It is a very important soil property influencing soil structure stability, nutrient availability, soil pH and the soil’s reaction to fertilisers and other ameliorants. The data generated by MoA-ATI (EthioSIS Project) using thousands...
    Created October 24, 2024 • Updated January 22, 2025

  • Calcium Saturation N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Calcium Saturation (%): Secondary macronutrient that aids in the growth and development of cell walls. It’s also helpful in cell metabolism and the uptake of nitrate. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine learning models.
    Created October 24, 2024 • Updated January 22, 2025

  • Extractable Copper N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Extractable Copper (mg/kg): Essential micronutrient that activates enzymes in plants. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine learning models.
    Created October 24, 2024 • Updated January 22, 2025

  • Extractable Iron N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Extractable Iron (mg/kg): Essential micronutrient that required for formation of chlorophyll in plants. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine learning models.
    Created October 24, 2024 • Updated January 22, 2025

  • Magnesium Saturation N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Magnesium Saturation (%): Secondary macronutrient that contributes to the green coloration of the plants. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine learning models.
    Created October 24, 2024 • Updated January 22, 2025

  • Total Nitrogen N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Total Nitrogen (%): Primary macronutrient that helps foliage to grow strong, affects the plant’s leaf development. It also gives plants their green color due to its assistance with chlorophyll production. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine learning...
    Created October 24, 2024 • Updated January 22, 2025

  • Exchangeable Potassium N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Exchangeable Potassium (mg/kg): Primary macronutrient that strengthens plants, helps contribute to early growth and assists the plants in retaining water. It also keeps the plants from contracting diseases and insects. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine...
    Created October 24, 2024 • Updated January 22, 2025

  • Available Sulfur N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    Available Sulfur (mg/kg): Secondary macronutrient that helps form and grow seeds. It also aids in the production of amino acids, proteins, enzymes and vitamins. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine learning models.
    Created October 24, 2024 • Updated January 22, 2025

  • In-situ crop type data for the Terai region of Nepal for 2022-2023 winter season N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    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 cultivation practices. Objectives of this survey were i) to identify diverse range...
    Created January 20, 2025 • Updated January 21, 2025

  • Unimputed GbS-derived SNPs for Maize Landrace Accessions Represented in the S... N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    This study presents the unimputed SNP profiles from genotyping-by-sequencing of the accession parents of the SeeD GWAS testcross panel.
    Created January 20, 2025 • Updated January 20, 2025

  • Imputed GbS-derived SNPs for Maize Landrace Accessions Represented in the See... N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    This study presents the imputed SNP profiles from genotyping-by-sequencing of the accession parents of the SeeD GWAS testcross panel. The positions in the VCF files have been mapped against version 4 of the maize genome. The imputation was performed using the Beagle software.
    Created January 20, 2025 • Updated January 20, 2025

  • TAMASA Nigeria. UAV and ground measurements in nutrient omission trials (NOT)... N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    The dataset was obtained from 5 LGAs within the TAMASA focal states and the number of NOTs selected varied from one LGA to the other. Data was collected at 4WAS and 8WAS in all the NOTs selected. Data include plant height, Greenseeker NDVI and canopy cover, UAV NFVI, and yield
    Created January 20, 2025 • Updated January 20, 2025

  • TAMASA Nigeria. Nutrient omission trials (NOT) soil data, 2015 N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    This dataset consists of Soil Analysis for the 95 on-farm field trial sites. The dataset is divided into six sheets; Metadata, variable, Raw Data, Data Summary and Data History. 'Metadata' give summary description of the dataset. 'Variables' give the name, unit, description and method of determination of the variables in the dataset. 'Raw Data' contain...
    Created January 20, 2025 • Updated January 20, 2025

  • TAMASA Nigeria. Nutrient omission trials (NOT) grain nutrient analysis, 2015 N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    This dataset consists of Result of Grain Analysis for the 95 on-farm field trial sites x 2 varieties (Hybrid and OPV) x 6 treatments (Control, PK, NK, NP, NPK, NPK+S+Ca+Mg+Zn+B) . The dataset is divided into six sheets; Metadata, variable, Sites information, Raw Data, Data Summary and Data History. 'Metadata' give summary description of the dataset....
    Created January 20, 2025 • Updated January 20, 2025

  • TAMASA Nigeria. Nutrient omission trials (NOT) yield dataset for 2015 N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    This dataset consists of Result of NOT for the 95 on-farm field trial sites x 2 varieties (Hybrid and OPV) x 6 treatments (Control, PK, NK, NP, NPK, NPK+S+Ca+Mg+Zn+B). The dataset is divided into eight sheets; Metadata, Variable, Sites information, Timing Parameters, Yield Parameters, Grain Yield Data Summary and Data History. 'Metadata' give summary...
    Created January 20, 2025 • Updated January 20, 2025

  • TAMASA Nigeria. Nutrient omission trials (NOT) stover nutrient analysis, 2015 N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    This dataset consists of Result of stover or straw nutrient analysis for the 95 on-farm field trial sites x 2 varieties (Hybrid and OPV) x 6 treatments (Control, PK, NK, NP, NPK, NPK+S+Ca+Mg+Zn+B) . The dataset is divided into six sheets; Metadata, variable, Sites information, Raw Data, Data Summary and Data History. 'Metadata' give summary description...
    Created January 20, 2025 • Updated January 20, 2025

  • TAMASA Nigeria. Nutrient omission trials (NOT) yield data for 2016 N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    This dataset consists of result of NOT for the 95 on-farm field trial sites x 2 varieties (Hybrid and OPV) x 6 treatments (Control, PK, NK, NP, NPK, NPK+S+Ca+Mg+Zn+B). The dataset is divided into eight sheets; Metadata, Variable, Sites information, Timing Parameters, Yield Parameters, Grain Yield Data Summary and Data History. 'Metadata' give summary...
    Created January 20, 2025 • Updated January 20, 2025

  • TAMASA Nigeria. Performance trials dataset, 2016 N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    This dataset consists of Yield and fertilizer timing parameters for the 2016 Performance Trials across 90 sites in Kano, Katsina and Kaduna State.
    Created January 20, 2025 • Updated January 20, 2025

  • TAMASA Nigeria. Variety calibration trials, dry and rainy season, 2016 N3 | TTL | RDF/XML | JSON-LD

    CIMMYT Ethiopia
    This dataset contains information from variety calibration trials in four locations (BUK, Dambatta, Samaru and Lere). The data was collected from two separate sets of experiments. Experiment 1 was under full irrigation conducted from 23rd March to 20th June 2016 across the four locations. Experiment 2 was conducted in the rainy season with supplementary...
    Created January 20, 2025 • Updated January 20, 2025
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