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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,974 datasets
Mössbauer spectroscopy and x-ray diffraction studies analyze iron mineralogy in desert varnish, lava flows, and Dry Valley soils. Data originates from field campaigns across the McMurdo Sound region, including Ross Island and the Taylor Valley. The dataset was compiled by SCIOPS and last updated in 1978.
August/September 1993 data from the TRANSDRIFT I cruise describes the distribution and composition of macrobenthic communities on the eastern Laptev Sea shelf. The dataset covers 11 sampling stations, identifying 265 species, with crustaceans being the most numerous group at 94 species. The research was conducted by the organization SCIOPS.
A 1997 digital atlas integrates precipitation, temperature, radiation, runoff, and political boundaries data for global water resource analysis. It was developed by SCIOPS for FAO/UNESCO projects, initially focusing on Africa's Niger Basin. The atlas provides mean monthly and annual values on a 0.5-degree global grid.
Aggregating stem diameter, height measurements, and aboveground woody biomass calculations for an Australian tropical rainforest. Measurements for stems with a diameter at breast height of at least 10 cm were sampled between 2001 and 2010 in a canopy crane plot and again in 2014 within a core 1-hectare plot.
Baringo, Kenya, was the site of a 1987 pilot study evaluating the FAO/UNEP Provisional Methodology for desertification assessment. The project collected topographic, soil, and climate data over an area of approximately 1500 km² to develop and verify assessment models. The study was conducted by the Government of Kenya and UNEP, with data finalized around 1992.
Stable isotope measurements from over 300 sites in the Florida Everglades, collected during 1996 and 1999, document food web structure and contaminant sources. This study represents the largest isotope food web investigation in a marsh ecosystem, conducted through a collaboration involving USGS, SFWMD, FGFFC, and the EPA-REMAP program. Data includes carbon, nitrogen, and sulfur isotopic compositions for plants and animals across 18 specific monitoring sites.
132 stream sites and 15 reservoir locations were monitored for water quality from August 1992 to September 1995. The USGS National Water Quality Assessment program collected physical, chemical, and biological data across six land-use classifications in this 19,800 square mile basin.
1997 data and earlier provides maps and tables analyzing U.S. croplands, including cultivated areas, erosion, conservation, irrigation, and crop-specific trends. The dataset was created by the USDA's National Agricultural Statistics Service (NASS) and other agencies, with products published online around 1998. It includes downloadable Postscript map files and pipe-delimited ASCII data files for use with GIS coverages.
The California Energy Commission's Draft Cropland Index Model for the 2026-2027 Integrated Resource Plan assesses land suitability for solar development. It integrates variables on soil quality, official farmland designations, and current crop existence from California Statewide Crop Mapping. The model excludes grazing lands and is specifically applied to solar technology siting.
A dataset containing satellite imagery with RGB and NDVI channels. The dataset is hosted on Kaggle, but its specific size, source, and temporal coverage are not detailed in the provided metadata. The title suggests it is intended for remote sensing and agricultural analysis.
A dataset titled 'rgb2ndvi-checkpoint' likely contains satellite or aerial imagery. The title suggests it may be used for converting standard RGB images to the Normalized Difference Vegetation Index (NDVI). It is hosted on Kaggle, but detailed metadata such as author, size, and specific content are unavailable.
Environmental Information Data Centre provides soil physicochemical and biological measurements from a 2016 plot trial at three UK grassland sites. Data includes parameters like soil nitrate, ammonium, texture, pH, and microbial biomass, collected from three soil depths across sixteen plots per site following three fertilizer applications and silage cuts.
Government of Alberta data provides average real estate values for agricultural land, categorized by Canada Land Inventory (CLI) soil classification over a ten-year period. The dataset is available in HTML and XLSX formats.
Kaggle dataset for predicting crop disease risk and recommending treatments. The description suggests it includes symptom-based diagnosis and climate risk assessment features. The author, organization, and temporal coverage are unknown.
Cleaned crop yield data provides processed agricultural productivity metrics. The dataset is hosted on Kaggle, but its specific source, collection method, and temporal coverage are not detailed in the available metadata. The number of rows, columns, and geographic scope are unknown.
Modern agriculture data likely focuses on the intersection of crop production with AI systems and the latest technologies. The dataset's specific features, scale, and origin are not detailed in the provided metadata. Kaggle is the listed platform, but the author, organization, and creation date are unknown.
Supplementary materials for a study on arsenic migration in arid farmland soil irrigated with arsenic-contaminated groundwater in Xinjiang. Yanli Luo published this 67.2 MB collection of TIF, ZIP, and DOCX files in March 2026.
Kerstin Damerau published this nutrient profiling dataset in 2026 to quantify the nutritional density of local foods in Latin America, South/Southeast Asia, and Sub-Saharan Africa. It provides a Nutritional Value Score (NVS) on a 1-100 scale, integrating 11 vitamins, 5 minerals, and 3 nutrient ratios specifically weighted for the dietary priorities of women and girls aged 15–49.
A 1,000-sample subset of the FoodExtract-135k dataset designed for fine-tuning small language models. Created by mrdbourke and last updated on March 25, 2026, its purpose is to train models to extract structured food and drink data from text, replicating the capability of larger models. The fine-tuned models can then filter large text corpora for food-related content.
best_last_weighted_and cropping_model_newww is a dataset hosted on Kaggle. Its title suggests it contains data related to agricultural modeling, likely for crop yield prediction. The dataset's author, organization, and specific details are unknown.