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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
19,247 datasets
Soil pH values from samples collected in Roudsea Wood National Nature Reserve in 1961. Measurements were taken from soil between 5 and 10cm depth along transects and under oak trees by The Nature Conservancy's Woodlands Research Section.
Ebro River basin in Spain contains input data and settings for the Community Water Model (CWatM) from 1990 to 2012. The data includes elevation, flow direction, river routing, lakes, soils, groundwater, land cover, crop coefficients, population, GDP, and sectoral water demands for simulating the water cycle. The dataset is maintained by the IIASA BNR Water Security group and hosted by the Environmental Information Data Centre.
Risk metrics for earthworms, springtails, lacewings, parasitic wasps, bumble bees, solitary bees, and honeybees from pesticide exposure in England. Data was derived from application rates and toxicity experiments to analyze spatial and temporal patterns on a 5 km grid every other year from 1994 to 2016.
Central Scotland farm data includes over 500 nitrous oxide flux measurements from arable fields, grazed pastures, and farm structures. Measurements were collected in 2012 and 2013 using a high-precision flux chamber method, with associated soil property data. This dataset was used to assess farm-scale N2O emissions across four seasons.
2050 projections identify country-level vulnerabilities of cropland to water scarcity for six key commodities: maize, rice, wheat, vegetables, pulses, and fruit. The analysis combines global water scarcity changes with current agricultural production extents. Data originates from a multi-model ensemble and is curated by the Environmental Information Data Centre.
Environmental Information Data Centre provides a collated dataset from 46 published journal articles on soil nitrous oxide emissions in the UK from 1983 to 2019. It contains 286 diurnal N2O flux datasets and 160 diurnal soil temperature datasets. The data also includes non-diurnal parameters like soil pH, bulk density, and soil texture.
Four raster maps quantify the Input to Yield Ratio (IYR) for wheat farming in England from 2010 to 2017 at a 1km resolution. The dataset provides scaled ratios for Nitrogen fertilisers, Phosphorus fertilisers, pesticide risk to earthworms, and pesticide risk to honeybees, funded by research programmes NE/N018125/1 and NE/W005050/1.
April-May 2019 transcripts capture discussions on monthly agricultural activities, climate services, and extreme weather events from farmers in Salima, Mangochi, and Zomba districts of Malawi. The data was produced under the NERC SHEAR program's IPACE-Malawi grant to study preparedness for agro-climatic extremes.
Environmental Information Data Centre provides ECOSSE model simulation output for soil carbon and nitrogen dynamics. The data includes soil organic carbon concentration, nitrogen, available water, and carbon dioxide metrics for the Sunjia agricultural catchment in Jiangxi province, China. Simulations were conducted in 2017 using input data from the Chinese Academy of Sciences.
A digital soil map of the Moor House - Upper Teesdale National Nature Reserve, covering an area of 74 km². The mapped polygons represent a range of soil types across diverse upland habitats within this UNESCO Biosphere Reserve.
Ten years of averaged UK meteorological data underpins modelled ammonia recapture predictions for shelterbelt trees. The dataset, produced by the NERC-funded MUDMAT project, forecasts recapture at 5, 15, 25, and 50 years after planting for various tree species and heights.
Environmental Information Data Centre provides daily soil moisture estimates from prototype cosmic ray neutron sensors. Measurements were taken hourly between August and December 2023 at a rain-fed site in Goias, Brazil, and aggregated into daily averages.
199 transcripts from focus groups in Salima, Mangochi, and Zomba districts detail monthly agricultural activities. Farmers discuss how climate services and extreme weather events affect their decision-making for crops like maize. This data was produced in April-May 2019 as part of the NERC SHEAR program's IPACE-Malawi project.
Sourhope, Scotland field experiment data details treatments applied to plots between 1999 and 2004. It serves as an explanatory variable for other datasets from the NERC Soil Biodiversity Programme, which monitored changes in above-ground biomass production, species composition, and relative abundance.
U.S. EPA Superfund features are captured as point data for geospatial analysis. Regional teams manage the features, and the national dataset is refreshed weekly by the SEGS system. The dataset is reserved for important site features best represented as points.
Polygon features depict important U.S. EPA Superfund site areas managed by regional geospatial professionals and remedial program managers. The dataset is refreshed weekly through the SEGS system to maintain a national view of contaminant remediation zones. It is reserved for site features best represented as geospatial polygons.
U.S. EPA Superfund Linear Site Features is a GIS dataset containing lines depicting important features of Superfund sites. The data is managed by regional EPA teams and harvested weekly by the SEGS system to refresh the national dataset. The dataset was last updated on March 22, 2026.
2024 research data comprises mycotoxin concentration, nutrient content, and color measurements from corn samples. The dataset includes raw data, R code, and rendered output to reproduce analyses from a published Poultry Science manuscript. It supports modeling the effect of mycotoxins on corn nutritional value.
AccessScience provides authoritative educational material covering major scientific disciplines. The resource likely contains scientific information related to the U.S. ban on antibiotics for growth promotion in livestock. It is authored by Brad Spellberg of the University of Minnesota and aggregated by paperswithcode.
A set of 27 generic soil profiles developed by John Dimes and Jawoo Koo of the International Food Policy Research Institute. The profiles were generated based on three criteria crop models are most responsive to: texture, rooting depth, and organic carbon content. They were classified using boundary conditions derived from a meta-analysis of WISE 1.1 soil profiles measured in Sub-Saharan African cropland areas.