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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
19,247 datasets
October 2013 and January 2014 sampling of soil macrofauna communities on a private farm in Santo Inácio, Paraná, Brazil. The data likely contains abundance records for 42 taxa across seven land use systems, including agrosilvopastoral, silvopastoral, pasture, sugarcane, and native forest. The dataset was created by Herlon Nadolny of Universidade Federal do Paraná using the standard TSBF methodology.
Minas Gerais State, Brazil, is the geographic scope of this epidemiological study of bovine and swine cysticercosis. The research covered 388 farms across 91 rural communities, collecting 1,792 bovine and 554 swine blood samples. It was conducted by P.S.A. Pinto to determine disease prevalence and associated risk factors.
57 production cycles of Litopenaeus vannamei shrimp from northeastern Brazil were analyzed for technical efficiency using data envelopment analysis. The study by Marcelo A.S. Rego compared conventional and biofloc technology systems using inputs like population density, feed, labor, and power supply against yield. Results indicated only four cycles were technically efficient, with management inefficiency affecting the conventional system and production scale impacting the biofloc system.
Paula Renata Olegini Vasconcellos's study analyzes the association between pesticide exposure and Parkinson's disease occurrence. The cross-sectional case series includes data from 48 identified individuals, with 32 interviewed, collected from the University Hospital of Western Paraná's neurology outpatient clinic between 2012 and 2017. Results suggest a possible link, with 74.98% of interviewed individuals reporting pesticide contact.
OSNI Street Maps provide detailed geospatial information for Northern Ireland's cities and towns. The dataset includes road names, one-way systems, railway lines, car parks, and public buildings like churches and schools. It is derived from the Ordnance Survey of Northern Ireland's (OSNI) large and small-scale data.
OSNI Street Maps provide detailed geospatial data for Northern Ireland's cities and towns, derived from large and small-scale Ordnance Survey of Northern Ireland (OSNI) sources. The dataset includes features such as road names, one-way systems, railway lines, car parks, and public buildings like churches and schools. It is available as an Esri REST API service, requiring use in desktop or web mapping applications rather than a standard web browser.
31-year simulation outputs from the pDSSAT maize model for the AgMIP Global Gridded Crop Model Intercomparison. The data includes crop yield, biomass, and phenology variables under varied CO2, temperature, water, and nitrogen conditions. Joshua Elliott from the University of Chicago contributed this archive as part of the GGCMI Phase II project.
AgMIP's GGCMI Phase II archive contains 31-year simulation outputs for winter wheat from the pDSSAT model. Variables include crop yield, biomass, phenology dates, and water use under manipulated climate and management conditions. Joshua Elliott at the University of Chicago produced this data as part of a global crop model intercomparison project.
Global gridded output from pDSSAT spring wheat simulations as part of the AgMIP GGCMI Phase II project. The data includes crop yield, biomass, and phenology variables from 31-year simulations under varied CO2, temperature, water, and nitrogen conditions. Joshua Elliott from the University of Chicago contributed this archive.
Global simulation outputs for rice from the pDSSAT model as part of the AgMIP GGCMI Phase II project. The data includes crop yield, biomass, and phenology metrics from 31-year simulations under varied CO2, temperature, water, and nitrogen conditions. Joshua Elliott from the University of Chicago contributed this archive.
AgMIP's GGCMI Phase II CTWN-A archive contains output from pDSSAT model simulations for soybean. The dataset includes variables such as crop yield, biomass, and phenology dates from 31-year simulations. Simulations explore combinations of atmospheric CO2 levels, temperature offsets, water availability, and nitrogen inputs.
Output data from EPIC-TAMU model simulations for winter wheat as part of the AgMIP Global Gridded Crop Model Intercomparison. The dataset includes variables such as crop yield, biomass, planting day, and evapotranspiration. Simulations were conducted by Ashwan Reddy at the University of Maryland, College Park, using the AgMERRA climate data over 31 years with varied CO2, temperature, water, and nitrogen inputs.
EPIC-TAMU model outputs for soybean include yield, biomass, and growing season metrics. Simulations span 31 years and systematically vary atmospheric CO2, temperature, water, and nitrogen inputs under different adaptation assumptions. This archive is part of the AgMIP Global Gridded Crop Model Intercomparison Phase II project.
EPIC-TAMU model outputs for maize include yield, biomass, and growing season metrics. Simulations cover 31 years and systematically vary atmospheric CO2, temperature, water, and nitrogen inputs. Ashwan Reddy from the University of Maryland, College Park contributed this data as part of the AgMIP GGCMI Phase II intercomparison.
AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II CTWN-A archive contains priority 1 outputs from EPIC-TAMU rice simulations. The dataset includes variables such as crop yield, above-ground biomass, planting day, maturity day, and actual growing season evapotranspiration. Simulations were conducted by Ashwan Reddy of the University of Maryland, College Park, using 31-year AgMERRA climate data with systematic variations in CO2, temperature, water, and nitrogen levels.
AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase II data set contains output from EPIC-TAMU simulations for spring wheat. The data includes crop yield, biomass, planting and maturity days, and evapotranspiration from 31-year simulations under varied CO2, temperature, water, and nitrogen conditions. The archive was contributed by Ashwan Reddy of the University of Maryland, College Park.
Soil temperature, moisture, and surface ground heat flux measurements collected at the LPTEG-TREES-1 site in the Arctic tundra from July 1 to September 9, 2019. Wenbo Zhou from the University of Michigan authored this dataset, which includes soil temperature at 2 cm depth, liquid water content at 2 cm depth in the mineral soil, and ground heat flux reconstructed from a plate buried at 6 cm.
A global map assessing subsoil compaction risk for arable land due to farm machinery. The dataset includes three variables at a 0.1° x 0.1° resolution (~10 km), based on calculations from a publication by Thomas Keller and Dani Or. It was authored by Samuel Bickel of École Polytechnique Fédérale de Lausanne and is available under an Open Access license.
Eva Vivalt from Stanford University conducted experiments testing how the availability of 'clean' animal products like lab-grown meat affects consumer ethical beliefs. The research involved survey experiments, including a priming study, to examine the relationship between product perception and moral weight placed on the environment and farm animals. The dataset likely contains the results of these experiments, though specific column details are not provided.
Seven benthic incubation chambers deployed at four sites in Port Phillip Bay measured bio-irrigation rates using deuterium and caesium tracers. Modelling from the Australian Ocean Data Network indicates advection of overlying water occurs at depths of 20-50 cm below the sediment-water interface at rates between 150 and 700 mL h-1. The data was last updated on 2026-06-27.