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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
16,798 datasets
Median farm equity ratios for Australian broadacre and dairy farms averaged over three years from 1996-1997 to 1998-1999. The data was collected by the Australian Bureau of Agricultural and Resource Economics and Sciences through annual farm survey interviews and farm accounts. It includes attributes such as the average equity ratio, the proportion of properties with equity below 80%, and the relative standard error for each Statistical Division.
930 composite soil samples from the Peruvian coastal desert were analyzed to create a spatially explicit weighted Soil Quality Index. The index, developed by Russell Poma-Chamana, revealed that 46.7% of the interpolated area was categorized as 'Poor' quality, primarily due to high salinity. The data suggests drip irrigation, without specific management, was associated with higher salinity and nutrient levels than surface irrigation.
Manitoba Agriculture soil survey point data provides detailed physical and chemical soil properties at multiple scales, from reconnaissance to highly detailed. The dataset likely contains attributes such as soil texture, drainage, pH, salinity, and topography, which are essential for predicting soil behavior under different land uses. This geospatial inventory supports sustainable agricultural planning by identifying which soils are suitable for crops like grain and vegetables versus forage.
A validation study for a culturally tailored 62-item food frequency questionnaire administered to adults in Northwest China. The dataset includes reproducibility data from two FFQ administrations three months apart and relative validity data compared against three non-consecutive 24-hour food records. The data was collected using a digital Chronic Disease Follow-up Platform and nutrient intakes were calculated using the China Food Composition Database.
LUH2-ISIMIP2b provides 0.25-degree gridded, global, annual estimates of fractional land use and land cover from 2015 to 2100. The dataset was created by NASA using the Land Use Harmonization 2 methodology, integrating scenarios from the REMIND-MAgPIE model with climate impacts from four climate models. It supports the ISIMIP2b effort to assess impacts under 1.5°C global warming pathways.
24,820 adults from the MJ Health Research Database in Taiwan were analyzed for dietary patterns and renal outcomes. Dietary intake was assessed via a food frequency questionnaire and clustered using the K-means++ algorithm into non-healthy, normal, and healthy groups. The study found an association between transitioning to a healthier dietary cluster and a lower risk of renal function decline.
A global meta-analysis of 790 effect sizes across 86 pollinator-dependent crops, assessing changes in pollination limitation from 1950 to the 2010s. The dataset was created by Catarina Siopa and published on figshare under a CC-BY-4.0 license. It reveals that pollination limitation averages 36% but has declined by 50% over the studied period.
Government and Municipalities of Québec data presents pesticide use from reduction plans on Quebec golf courses for 2021 to 2023. The dataset indicates, for each administrative region, active ingredients, types of use, quantities per year and average quantity, trade names, and certification numbers. It is licensed under CC-BY-4.0 and was last updated on June 3, 2026.
Digital soil maps for New South Wales provide statewide coverage of key soil properties, including organic carbon, pH, and texture fractions. The maps are produced at a 100-meter spatial resolution for three soil depth intervals using Quantile Regression Forest techniques. The dataset is provided by the NSW Department of Climate Change, Energy, the Environment and Water and was last updated on 2026-05-28.
Levubu, Limpopo Province, South Africa is the study area for this dataset underpinning an MSc dissertation. It contains measurements of soil nutrients, plant sap, leaf nutrients, and tree physical traits across four macadamia cultivars to examine their influence on thrips abundance and nut damage. The dataset was authored by Ntombizwodwa Luvhimbi and last updated on June 3, 2026.
22 studies involving 740 dancers were analyzed in this systematic review. The review, authored by Marian Vela-Andreu and last updated in June 2026, examines the prevalence and effects of substances like multivitamins, caffeine, and analgesics on dancers' performance and health. It follows PRISMA 2020 guidelines and is registered in PROSPERO.
NSW Department of Climate Change, Energy, the Environment and Water produced this land use dataset capturing how the New South Wales landscape was used for food production, forestry, nature conservation, infrastructure, and urban development in September 2017. Version 1.5, published in December 2023, incorporates fine-scale mapping for regions like the Central Coast and Illawarra, enhanced horticulture data, and an updated road network. The mapping is based on aerial and satellite imagery, ancillary datasets like cadastre and land zoning, and was captured using GIS software at a scale of 1:8,000 or better.
1.2 MB of data from a laboratory and artificial flower experiment investigating the sub-lethal effects of pesticides on solitary bees. The dataset, authored by Janine M. Schwarz and last updated in June 2026, contains results showing sulfoxaflor reduced sugar solution intake by an average of 23.8% and impaired learning efficiency.
NASA's ABoVE project produced 30-meter resolution maps of deciduous tree fraction and total canopy cover across the North American boreal domain for five nominal years. The data, derived from Landsat imagery using Random Forest models trained on in-situ samples from Alaska and Canada, includes per-pixel uncertainty estimates. These geospatial time series are designed to track forest composition changes over decades.
2852 soil profiles form the basis for 90-meter resolution estimates of soil organic carbon across Mexico for 1999-2009. A model ensemble using environmental covariates explained 54% of the variability, with associated error estimates provided. The dataset was produced by the National Institute for Statistics and Geography (INEGI) and is hosted by NASA.
Australian data on the proportion of broadacre and dairy farms experiencing significant soil acidity problems during the 1998-1999 period. The dataset was collected via the Resource Management Supplementary survey accompanying the ABARE Annual farm survey and is reported at the Statistical Division level. It is provided by the Australian Bureau of Agricultural and Resource Economics and Sciences.
Median farm income data for Australian Statistical Local Areas (SLAs) for the 1996-1997 period. The dataset includes the median Estimated Value of Agricultural Operations (EVAO) for all farm establishments with an EVAO greater than $5,000, along with hectares of agricultural land per SLA. It was published by the Australian Bureau of Agricultural and Resource Economics and Sciences under the Department of Agriculture Fisheries and Forestry.
Canada Landsat Disturbance (CanLaD) maps forest disturbances across Canada from 1985 to 2024 at a 30-meter resolution. The dataset, produced by Natural Resources Canada, includes annual raster layers classifying disturbance types like wildfire, harvesting, and pest outbreaks, achieving an overall accuracy of 81%. The 2025 update incorporated Sentinel-2 data and manual corrections to reduce false positives.
128 beluga carcass samples from the St. Lawrence Estuary were analyzed for contaminant concentrations between 1987 and 2009. The dataset includes morphometric measurements, sex, age, cause of death, a fitness index, lipid proportions, and concentrations of flame retardants, PCBs, and pesticides. It was created by Fisheries and Oceans Canada to investigate temporal trends in contaminant exposure for this endangered population.
Tanta, Egypt, is the focus of this meteorological dataset used to analyze soil salinity dynamics and irrigation strategies. The data, published by author Wenhui Yan under a CC-BY-4.0 license, supports the SWAP model for evaluating water-yield-salinity trade-offs in wheat production. The dataset was last updated on June 4, 2026, and is stored in a 4.9 MB TXT file.