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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,792 datasets
Australian Capital Territory polygon dataset locates Irrigation Areas owned or managed by government directorates. Attributes include location description, suburb, ownership, asset sub type, and water type. Data is maintained through works-as-executed handover and field audits.
San Francisco's maximum speed limits per street segment, sourced from city legislation and engineering directives. The dataset primarily indicates speeds greater than 25 MPH, with 25 MPH as the de facto limit for most residential and commercial streets. It is updated quarterly or as needed by the City of San Francisco.
2007-2014 biological data supports co-management of anadromous Dolly Varden in the Rat River, Gwich'in Settlement Area. The dataset informs harvest levels and population status assessments under an Integrated Fisheries Management Plan. It is provided by Fisheries and Oceans Canada and partners.
OSNI Street Maps provide detailed geospatial information for cities and towns in Northern Ireland. The dataset includes features such as road names, one-way systems, railway lines, car parks, public buildings, churches, and schools. It is derived from Ordnance Survey Northern Ireland large and small-scale data and is published under the UK Open Government Licence.
This dataset originates from a field experiment comparing four fertilizer treatments: chemical fertilizer (CK), organic fertilizer (OF), bio-organic fertilizer (BOF), and high-carbon bio-organic fertilizer (HBOF). It measures effects on soil aggregate size distribution, organic carbon fractions like particulate organic carbon (POC) and microbial biomass carbon (MBC), and bacterial community composition in red soil.
A cross-sectional survey of 396 regular Suya consumers in Yenagoa Metropolis, Nigeria, conducted between March and May 2024. It assesses socio-demographic characteristics, consumption behaviors, knowledge of trace metal contamination, and safety practices.
Multi-environment phenotyping data for 1,589 ricebean (Vigna umbellata) accessions from the Indian National Gene Bank, assessed in New Delhi and Almora. It documents phenotypic variations for traits like days to flowering, pod length, seeds per pod, and seed weight, and includes a derived core set of 251 accessions. The data was generated by Gayacharan to support crop improvement programs.
SGVI-2023 v2 systematically fills missing street-level Green View Index values using two optimized predictive models. One model uses Sentinel-1 and Planet imagery, achieving a point-scale correlation coefficient of 0.83084, while another uses Sentinel-2, Planet, and NDVI for improved accuracy with R=0.8789. This process generates a more spatially complete dataset for assessing urban vegetation coverage.
Digital Outcrop Models from key structures in the Internal Prebetics of SE Iberia. The models are generally located around Alacant and Elda. The dataset was authored by David Paul Canova and is hosted on Harvard Dataverse, with a last recorded update in June 2026.
Standardized food security and nutrition indicators aggregated from multiple humanitarian sources via the HDX Humanitarian API (HAPI). Maintained by the HDX Humanitarian API Data organization, the records include data quality flags and were last updated in March 2026. The data is formatted for interoperability to support automated humanitarian decision-making workflows.
Physical and chemical parameters were measured monthly at several sites in Simpsons Bay, Tasmania, as part of a study on oyster farming carrying capacity. The data includes temperature, salinity, and concentrations of nitrates, phosphates, silicates, and chlorophyll a. It was collected by the Australian Ocean Data Network and last updated in April 2026.
Monthly measurements of temperature, salinity, nitrates, phosphates, silicates, and chlorophyll a were collected at multiple sites across five Pacific oyster growing areas in Tasmania. The Australian Ocean Data Network managed this data, which includes temporal analysis from two sites in Pittwater showing variability over time. Data for Simpsons Bay is specifically included, while hydrodynamic studies covered the other four areas.
140.2 KB of data from an investigation into three controlling categories—non-structural carbohydrates, root functional traits, and soil nutrients—over root exudation for trees colonized by arbuscular or ectomycorrhizal fungi. The dataset was authored by Xiaoqin Dai, shared on figshare under a CC-BY-4.0 license, and last updated on April 15, 2026.
Forestry products like fuelwood and Christmas trees have public interest and permit requirements. This dataset from the Department of the Interior identifies Bureau of Land Management lands in Colorado that are open or closed for product removal, including reasons for restrictions. It was last updated on March 26, 2026.
Zambian data from a sub-study of 299 children in Lusaka assesses saccadic reaction time (SRT) as a measure of early childhood development. The dataset includes predictors like household characteristics, nutritional status, and health indicators, and correlates SRT with concurrent development scores. It contains results from a screen-based assessment using a Tobii Pro Fusion tracker conducted when children were approximately 31 months old.
Martine Asobasi's study provides a cross-sectional survey of 316 households in the Palorinya refugee settlement, northwestern Uganda. It assesses the contribution of own food production to dietary diversity and nutrient intake adequacy, analyzing factors like education level and land access.
A 2014 strategic analysis by the World Food Programme integrates multi-year food security trends with climate-related natural shock risk data for Burundi. The dataset includes mapped information on nutrition, gender, livelihoods, and resilience to inform programmatic planning.
Digital Earth Australia (DEA) is a national platform for processing and analyzing Earth observation satellite data. It is developed by Geoscience Australia, CSIRO, and the National Computational Infrastructure to track environmental changes. The platform builds upon the award-winning Australian Geoscience Data Cube.
Digital Earth Australia (DEA) provides processed Earth observation satellite data for tracking environmental changes. The platform is a government-funded initiative building on the award-winning Australian Geoscience Data Cube, developed by Geoscience Australia, CSIRO, and NCRIS. The dataset entry was last updated in April 2026.
A geological dataset from Geoscience Australia concerning the stratigraphy and micropalaeontology of marine Tertiary rocks between Adelaide and Aldinga. The dataset is published on data_gov_au and was last updated on 2026-05-14. The raw description is listed as a legacy product with no abstract available.