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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,970 datasets
20 herbicide-use estimates are provided for each county polygon as acres treated, pounds of active ingredient used, and pounds used per square mile. The data originates from Gianessi and Puffer (1991) and uses cropping data from the 1987 Census of Agriculture. County boundaries and non-land features were derived from the 1970 National Atlas of the United States.
NASA's CYGNSS constellation provides daily gridded maps of ocean microplastic number density. The dataset is produced by the University of Michigan CYGNSS Science Team using an empirical relationship between ocean surface roughness and wind speed derived from satellite measurements. Version 3.2 uses updated Level 1 scattering cross section data and algorithm parameterizations.
Chlorophyll concentration data for Chesapeake Bay and its tributaries were collected via airborne radiometric instruments over thirteen years. The NASA Goddard Space Flight Center developed the initial Ocean Data Acquisition System, with later instruments like the SeaWiFS Aircraft Simulator providing improved spectral resolution. Measurements cover the main bay from 1989 onward and include monthly tributary surveys of the Choptank and Patuxent Rivers since 1999.
Rice supply quantity data measures the per capita daily availability of milled rice in grams, derived from FAOSTAT crop production statistics. The dataset covers 173 crop products across categories like cereals, pulses, and vegetables, compiled by the Food and Agriculture Organization (FAO). It aims to comprehensively cover production of all primary crops for all countries and regions.
Hundreds of shellfish harvesting sites in Atlantic Canada, Quebec, and British Columbia are regularly tested for Paralytic Shellfish Poisoning (PSP) and other toxins. The Canadian Food Inspection Agency (CFIA) monitors these areas, providing early warnings and triggering closures via Fisheries and Oceans Canada when toxin levels are unacceptable. This program focuses on the Gulf of St. Lawrence, a 250,000 square kilometer enclosed sea and major commercial fishing area.
USGS Professional Paper 1650 presents an atlas of relations between climatic parameters and the distributions of important trees and shrubs across North America. The data is structured on a 25-km equal-area grid, comparing modern climatic variables with digitized species presence/absence records. This work was produced by the USGS for biogeographic, paleoclimatic, and global-change research.
Boundary data for Harvey Water Irrigation districts, published by Hugh Round of Harvey Water. The dataset was last updated in March 2026. Column count and row count are unknown.
Replication data for a study investigating the economic impact of agricultural support programs in Uganda. The dataset, authored by Florence Kabugo, was published on Harvard Dataverse in May 2026. It likely contains variables related to household income, participation in subsidy or grant programs, and farm versus non-farm economic activities.
The north slope of Alaska, USA, is covered by this dataset, which provides the average Normalized Difference Vegetation Index (NDVI) at 1-km resolution for each growing season from 2000 to 2015, along with trends for the period. It presents growing-season averages and trends derived from MODIS satellite data and predicted by the Coupled Carbon and Nitrogen (CCaN) model. The dataset was produced by the National Aeronautics and Space Administration (NASA).
Summer NDVI trends and their statistical significance for Alaska and Canada from 1984 to 2012. The dataset was produced by NASA using per-pixel linear regression on peak-summer 30-meter Landsat 5 and 7 surface reflectance data, with quality masks applied to remove clouds and anomalies. It provides annual NDVI change per year and significance levels to indicate greening or browning trends.
2002-2017 annual maximum Normalized Difference Vegetation Index (NDVI) at 1-km resolution over northern Alaska and the Yukon Territory, derived from MODIS satellite data. The dataset includes a long-term 16-year maximum NDVI product, aggregated from 250-meter pixel observations collected during each growing season. It was produced by the National Aeronautics and Space Administration.
Global boreal forests between 47 to 73 degrees north are covered by this dataset. It provides locally-calibrated estimates of tree canopy cover and forest stand age at 30-meter resolution, derived from Landsat satellite imagery from 1984 to 2020. The data were produced by the National Aeronautics and Space Administration using machine learning models calibrated with World Reference System 2 data.
MyStreet provides data on Council capital works and development applications from the City of Moreton Bay. The dataset includes the proposed capital works program for the current financial year and development applications lodged since February 2016.
foodNutri is a dataset published on Kaggle. The title suggests it contains information related to food and nutrition. The dataset's specific contents, such as the number of rows, columns, and data collection details, are unknown from the provided metadata.
Featuring soil physico-chemical characteristics collected at the Daintree Rainforest, Cow Bay site between 2011 and 2014. The data is provided in CSV format and is associated with research on rainforest ecology and geochemistry.
A collection of soil physico-chemical characteristics collected at the Daintree Rainforest, Cape Tribulation site between 2007 and 2015. It is provided by the Terrestrial Ecosystem Research Network's Data Discovery platform and includes data in CSV, HTML, and PNG formats.
Unitreerobotics provides a dataset of robot state observations for a task involving putting clothes into a basket. The data includes end-effector states computed via forward kinematics and finger states for both hands, with dimensionality dependent on hand type. The dataset was last updated on March 27, 2026.
San Francisco mid-block points represent calculated midpoints for each street segment in the city. The dataset is created by the City of San Francisco from its active and retired street data and is updated weekly. It is designed for geomasking workflows, replacing exact addresses with nearby anonymized points.
Unitree Robotics recorded state data from a humanoid robot performing a clothes-loading task. The dataset captures end-effector poses and hand finger states during manipulation. It was published by unitreerobotics in March 2026.
Adopted on 2 September 2024, this dataset contains the external border boundaries for habitats under the Agricultural Nature and Landscape Management program. It is part of the Modified Nature Management Plan 2024 for the management year 2025, published by the Dutch Ministry of the Interior and Kingdom Relations. The data is available in multiple geospatial formats including WMS and WFS.