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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
18,104 datasets
DIR provides a structured directory linking to thousands of worldwide Integrated Pest Management information sites. The Consortium for International Crop Protection and Oregon State University's Integrated Plant Protection Center jointly developed this web-based retrieval system, which began offering a search engine in December 1996.
Several hundred environmental parameters have been measured for 7 to 15 years at approximately 400 monitoring points on a 50x50 meter grid. This central database stores measured data from agriculture, soil science, hydrology, meteorology, and geobotany, integrated with a geographic information system. The data originates from the Forschungsverbund Agraroekosysteme Muenchen research network, following a 1990 transition from conventional to integrated ecological cultivation at the Scheyern farm in Bavaria, Germany.
FAOSTAT Food Balance Sheets provide a detailed picture of national food supply patterns. The dataset calculates the share of vegetal products in total food supply for countries, derived from supply and utilization accounts for numerous food commodities. Data originates from the FAO's FAOSTAT system via the World Bank.
Animal products supply data is derived from FAOSTAT Food Balance Sheets, which detail sources and utilization of food commodities for human consumption. The dataset calculates the percentage contribution of animal products to total national food supply, expressed in quantity, caloric value, protein, and fat content. It is compiled by the Food and Agriculture Organization (FAO) and disseminated by the World Bank.
Pesticides trade data provides the monetary value of global exports and imports for all pesticide types, including insecticides, fungicides, and herbicides. The dataset is compiled by the Food and Agriculture Organization (FAO) and disseminated by the World Bank's Africa Development Indicators. The temporal coverage and update frequency are not specified in the provided information.
PINRO has conducted annual plankton research expeditions in the Barents Sea since 1952, typically running three surveys per year. The data includes mesoplankton and macroplankton samples collected with specific nets and methods to study community formation and trophicity. This long-term monitoring supports theoretical investigations into interannual dynamics related to Atlantic water advection.
A 50-year record details accumulation flux profiles and temporal trends of organochlorine pesticides DDT and HCH in sediment cores from two lakes on King George Island, West Antarctica. The dataset, provided by SCIOPS, reveals differing DDT flux patterns between a lake with glacier meltwater input and one without. An abnormal DDT flux peak in the 1980s was observed in the core influenced by meltwater, contrasting with a gradual post-1960s decline in the other.
Locations where New York City residents can drop off food scraps for composting, published by the City of New York. The dataset was last updated on March 22, 2026. It is provided in multiple formats including CSV, JSON, and RDF.
Comprising leaf-level physiology, chemistry, and structural traits data measured in 2010 at the Daintree Rainforest Observatory in Cape Tribulation, Far North Queensland. It includes variables related to leaf carbohydrates and ecophysiology. The specific number of rows and columns is not provided.
A soil and agro-climatic zone map of Kenya produced by the Kenya Soil Survey in the Ministry of Agriculture. The dataset includes polygon features with attributes for soil type codes and area. Cartography and lithography were completed by the Soil Survey Institute in Wageningen, The Netherlands, with data last updated in 1982.
County-level census data for China from 1990, compiled for agricultural ecosystem modeling. The dataset contains statistics for four livestock categories: Cattle, Hogs, Horses (including donkeys and camels), and Sheep (including goats). It was assembled by SCIOPS from multiple Chinese sources as input for the DNDC biogeochemistry model.
246,144 locations each sampled at four timestamps across seven modalities including S2L1C, S2L2A, and S1GRD. The dataset is provided by embed2scale and was last updated in March 2026. It is stored in Zarr Zip files for use with webdataset.
Harvest returns for Macrocystis pyrifera (kelp) were submitted by Alginates (Australia) P/L as a license condition to the Tasmanian Lands Department. The data, summed for individual sites, covers the two-year period of 1970-71 and includes tonnage, location, date, and trip length. While the company harvested from 1964-1973, site-specific data is only available for these two years.
From December 2006 to June 2014, sensor data was collected for sediment monitoring in South Trees Inlet as part of the Port Curtis Integrated Monitoring Program. The dataset is managed by the Australian Ocean Data Network and is tagged for marine science and environmental monitoring.
Weekly updated municipal tree data from the City of Moreton Bay's Data Hub. The dataset includes features such as Importanttree and is maintained by moretonbaygis, with a recent update in March 2026.
ImportantTree is a weekly-updated municipal dataset from the City of Moreton Bay's Data Hub, last updated March 2026. It catalogs a wide range of infrastructure, environmental, and marine assets across the region. The dataset includes features such as Flood Alert Gauges, Bioretention Maintenance Areas, and Culvert Systems.
HUD's feature service maps locations of federally assisted multi-family properties primarily serving elderly residents. Each property has at least one active contract or grant, including Section 202, Section 8, and Section 236 programs. The data was last updated by the Department of Housing and Urban Development on March 11, 2026.
A map of U.S. Department of Housing and Urban Development (HUD) assisted Multi-Family properties that primarily serve elderly residents. Each property has at least one active contract or grant related to programs such as Section 202, Section 8, or Section 236. The data was last updated on March 11, 2026.
Input_Food is a dataset published on Kaggle. Its title suggests it contains information related to food or agricultural inputs. The dataset's specific contents, size, and origin are not detailed in the available metadata.
Input_Image_Food is a dataset hosted on Kaggle. Its title suggests it contains images related to food items, likely intended for computer vision tasks. The dataset's author, organization, size, and specific contents are not detailed in the available metadata.