Loading...
Loading...
Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
18,204 datasets
DOT's Highway Inspection & Quality Assurance (HIQA) enforces laws governing work on city sidewalks, roadways, and highways. Inspectors review work sites for compliance with permit stipulations and issue violations for non-compliance. The dataset is published by the City of New York and was last updated on March 8, 2026.
Street Pothole Work Orders data documents potholes inspected and repaired by the New York City Department of Transportation. The dataset includes location and dates for when potholes were reported and when repairs were completed. It was last updated on March 8, 2026.
Completed sign installations for approximately 1,000,000 signs managed by the New York City Department of Transportation. The dataset includes current and historical records for regulatory, warning, guide, and parking signs. It was last updated on 2026-03-08.
Street and Highway Capital Reconstruction Projects - Block is a spatial dataset from the City of New York representing major street construction projects. The data includes projects ranging from street resurfacing to full reconstruction of roadbeds, sidewalks, and utilities. The dataset was last updated on March 8, 2026, and is intended to track infrastructure maintenance for a state of good repair.
A spatial dataset representing major street and highway capital reconstruction projects in New York City, ranging from resurfacing to full reconstruction of roadbeds, sidewalks, and utilities. The data is maintained by the City of New York and was last updated on March 8, 2026. It is intended to track essential infrastructure maintenance for the city.
Turkish_Food_Dataset is a dataset published on Kaggle. Its content likely pertains to Turkish cuisine, though specific details like row count, column descriptions, and creation date are unavailable. The dataset's structure and potential applications must be inferred from its title.
Terrestrial fluxes of N2O, H2O, and CO2 were measured over a six-month period starting in March 2012. Data collection used eddy covariance and chamber methods to investigate the effects of tillage and nitrogen fertilizer applications on two adjacent grasslands. The research was funded by DEFRA's GHG Platform project AC0116.
IPC, CHIRPS rainfall, and MODIS NDVI features for analyzing food insecurity in Kenya's Arid and Semi-Arid Lands (ASALs). The dataset likely contains satellite-derived climate and vegetation indices combined with Integrated Food Security Phase Classification (IPC) data. It was sourced from Kaggle, but specific authorship, size, and update details are unknown.
TIGHT1_CROPPED_DDD is a dataset of cropped images, likely related to agriculture, sourced from Kaggle. The specific subject, scale, and collection methodology are not detailed in the available metadata. The dataset's author, organization, and last update date are unknown.
A multi-modal dataset designed for predicting post-harvest losses of onions during transportation. The dataset was uploaded to Kaggle, but the author, organization, and specific collection details are not provided. The description indicates a focus on modeling losses that occur in the supply chain after harvest.
A collection of images related to groundnut crop diseases, published on Kaggle. The dataset likely contains visual examples of plant pathologies for training machine learning models. Metadata is minimal; the specific number of images, collection method, and geographic origin are unknown.
Crop-rice-disease is a dataset hosted on Kaggle. The title suggests it contains imagery or data related to diseases affecting rice crops. The dataset's specific size, origin, and detailed contents are unknown.
A dataset of images related to sugarcane crop diseases, published on Kaggle. The specific number of images, collection method, and time period are unknown. It likely contains visual examples of diseased sugarcane plants for analysis.
Images related to wheat crop diseases, sourced from Kaggle. The dataset's specific content, size, and collection details are unknown. Metadata is minimal; actual data requires verification after download.
NOAA NCEI's marine microplastics data collection aggregates global monitoring data on plastic particles smaller than 5mm. The repository provides open access to this data via a GIS web map and data portal, supporting long-term tracking from 1972 to the present. It aims to standardize and harmonize microplastics data for national and international collaborators.
A dataset titled 'Food Index' published on the Hugging Face platform by user blaze-aura69. The dataset was last updated on April 21, 2026. Its specific contents, such as column definitions and geographic or temporal coverage, are not detailed in the available metadata.
WFS service provides the urban development plan for the 'Barbarossastraße extension' in Wäschenbeuren, Germany. The data is transformed according to the INSPIRE directive and based on an XPlanung dataset in version 6.0. The dataset is published by the Bundesamt für Kartographie und Geodäsie and was last updated on March 17, 2026.
Street sweeping information for Sioux Falls, South Dakota, provided by the City of Sioux Falls. The dataset is served via an ArcGIS GeoServices REST API and was last updated on March 8, 2026. It is published under a CC-BY-4.0 license.
A dataset for machine learning in agriculture, contributed to increase participation from the African continent in data science. It contains observations of chickens, including breed, age, weight, feed consumption, and daily egg production. The data was sourced from poultry breed information websites.
Synthesized data from 285 thermal performance curves across 128 pest and pathogen species provides global projections of climate-driven yield impacts for maize, rice, soybean, and wheat. Produced by Jason Rohr and the Alliance of Bioversity International and CIAT in 2026, the dataset models shifts in biological performance and proportional yield loss under three CMIP6 climate scenarios (SSP1-2.6, SSP3-7.0, SSP5-8.5).