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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,942 datasets
A dataset from unitreerobotics, last updated on 2026-04-16. It contains observations of robot end-effector and hand states, likely recorded during a task involving putting vegetables into a basket. The data includes forward-kinematics computed end-effector poses and finger state information for Inspire Hands.
Observations of a robot's end-effector and hand states during a manipulation task. The data includes 12-dimensional end-effector states computed via forward kinematics and hand states whose dimensionality depends on the hand type. The dataset was created by unitreerobotics and last updated on Hugging Face in April 2026.
A dataset from unitreerobotics, last updated on 2026-04-16, containing observations of a robot performing a clothes-washing task. The data includes end-effector states computed via forward kinematics and hand states for finger positions, with dimensionalities dependent on the hand type. The dataset page suggests the hand state values range from 0.0 to 1.0, representing open to close positions.
A dataset of recipe ingredients intended for data science and food analytics applications. The data is presented as a clean CSV file. The specific source, size, and creation details are not provided.
A geospatial dataset representing potentially suitable land cover on serpentine soils, used to modify a resistance surface for coastal marten connectivity modeling. The data was developed by clipping serpentine soil polygons to 30 km from the coast and extracting relevant ecosystem categories from GAP/LANDFIRE data. It was published by the Department of the Interior and last updated in March 2026.
358.8 KB of tabular data in XLSX format, quantifying the effect sizes of different agricultural management practices on soil organic carbon storage in the 0-20 cm layer and crop yield. The dataset was authored by Qian Jiaxin and last updated on figshare in April 2026.
NOAA and FWC collaborated to build an ArcGIS geodatabase aggregating Acropora coral data from multiple federal, state, university, and NGO sources. All datasets include at least Acropora presence/absence and latitude/longitude coordinates. The project was funded by award NA1ONMF4720029 from NOAA/National Marine Fisheries Service.
Following Hurricane Sandy in October 2012, the National Oceanic and Atmospheric Administration (NOAA) examined contaminants in bed sediments and marine organisms from New York Bight sub-estuaries. The dataset includes measurements of PCBs, pesticides, PBDEs, PAHs, aliphatic hydrocarbons, and petroleum biomarkers. It was last updated on the platform in March 2026.
Food Cosmetic Ingredients is a dataset hosted on HuggingFace by UjjwalHowerMax. It was last updated on 2026-05-26. The dataset likely contains information on substances used in both food and cosmetic products.
Street Tree Removal public notifications are managed by San Francisco Public Works. Data is based on 24-hour, 15-day, or 30-day notices posted on trees after a removal permit is issued. The dataset is updated daily.
Figshare hosts a 1.1 GB AnnData file containing LARRY lineage tracing data for mouse monocyte and neutrophil differentiation. The dataset, created by Abdullah Al Noman for the FateSens work, is derived from single-cell RNA sequencing experiments originally published in Science. It focuses on a specific cellular trajectory from the broader hematopoietic study.
Seattle's registry of all active commercial tree service providers authorized to work on private property by the Seattle Department of Construction & Inspections (SDCI) and/or within the public right-of-way by the Seattle Department of Transportation (SDOT). The dataset is maintained by the City of Seattle and was last updated on March 22, III. Registration is mandatory for providers conducting major pruning, removal, reportable work, or consulting services in these jurisdictions.
Seattle Parks and Recreation's Tree Inventory of individual trees on SPR property. The Hosted Feature Layer View is updated weekly from the source on Monday mornings. The data is published by the City of Seattle and was last updated on 2026-03-22.
Seattle's Department of Transportation maintains this dataset of one-way streets within the city. The data is updated regularly, with the last recorded update on 2026-03-22. It is published on the datagov platform under the feature class SDOT.OneWayStreets.
Street sign locations and attributes for block faces throughout the City of Seattle, categorized by sign type. The dataset is refreshed daily and includes status fields such as INSVC and PLNRECON. It is published by the City of Seattle and was last updated on 2026-03-22.
Streetcar Stations in Seattle contains stations and stops on the South Lake Union and First Hill lines. The dataset is maintained by the Seattle Department of Transportation and is refreshed daily. It is published by the City of Seattle on the datagov platform.
2016 field measurements from 79 boreal forest stands in central Saskatchewan, Canada, characterize carbon stocks and combustion rates. The dataset, produced by NASA, includes 47 stands burned in 2015 wildfires and 32 comparable unburned stands. It provides estimates of pre-fire carbon stocks and combustion values for above- and below-ground pools, with associated uncertainties.
338 field and laboratory observations detail soil gas fluxes following rewetting or thawing events. The database compiles fluxes for carbon dioxide, methane, nitrous oxide, nitrogen oxide, and ammonia from studies conducted between 1956 and 2010. It includes parameters like experiment type, location, soil properties, and peak flux properties.
Near real-time food security indicators for Nigeria are aggregated by the World Food Programme (WFP) in this dataset. It integrates multi-domain metrics including conflict, weather, and macro-economic data to track hunger severity as of March 2026.
WFP's HungerMapLIVE provides near real-time food security indicators for Guinea, integrating metrics on nutrition, conflict, and macro-economics. This CSV dataset, updated as recently as March 2026, serves as a monitoring tool for humanitarian decision-making. It aggregates data from the World Food Programme's global hunger monitoring system to assess the magnitude and severity of food insecurity.