Loading...
Loading...
Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
19,247 datasets
MM 2023/W08: The Cheapest Ways to Get Your Protein is a dataset published on Kaggle. Its title suggests it contains information on the cost of various protein sources. The specific content, scale, and collection method require verification after download.
Week 9 of 2023 coverage of caffeine content in products sold on high streets. The dataset is published on Kaggle. Its specific contents and collection methodology are unknown from the provided metadata.
The dataset lists day care sites participating in the Child and Adult Care Food Program (CACFP) in New York State. It includes site names, addresses, and certification statuses for breastfeeding-friendly and Eat Well Play Hard projects. The data is provided by health.data.ny.gov and was last updated on December 19, —.
Jacob Haney's LA River Project 2026 dataset contains macroinvertebrate community data and macroplastic survey data from a study examining organisms rafting on plastic debris. The data supports research into the intersection of plastic pollution and aquatic ecology in an urban river system. Its cross-platform presence on Dataverse indicates established curation.
Global data on the burden of foodborne diseases, compiled by the World Health Organization (WHO). The dataset provides estimates of illness, disability, and mortality attributed to unsafe food. The update frequency and temporal coverage are not specified.
Kaggle hosts a dataset titled 'crnn a1 data'. The raw description indicates it contains real enduro plate crops and includes A1 pseudo-labels. The dataset likely contains images of vehicle license plates intended for computer vision tasks.
Malterdingen municipality in Germany provides a Web Map Service (WMS) for the 'Kleb' development plan. The service, based on the XPlanung 5.0 standard, describes a planning area on the municipality's northwestern edge, bordering roads and agricultural land. It is published by the Bundesamt für Kartographie und Geodäsie and was last updated on 2026-02-10.
Nutritional values for various food items from around the world. The dataset is published on Kaggle, but its specific size, source, and update history are unknown. Columns likely include food names and nutrient measurements such as calories, macronutrients, and vitamins.
Cropped_images is a dataset hosted on Kaggle. Its title suggests it contains images that have been cropped, likely for use in computer vision model training. The dataset's specific content, size, and origin are not detailed in the available metadata.
Pedestrian streets data published by the Government Digital Service on the eu_open_data platform. The dataset likely contains locations and attributes of pedestrian zones. Columns suggest geospatial information, but specific details require verification after download.
Off street coach parking data published by the Government Digital Service on the eu_open_data platform. The dataset likely contains locations or facilities for coach parking in urban areas. Metadata is minimal; actual content requires verification after download.
The conterminous United States is the geographic scope for this dataset on the wildland-urban interface. It was created by Volker C. Radeloff of the University of Wisconsin–Madison and contains data collected or funded by the USDA Forest Service Research and Development. The data covers a 30-year period from 1990 to 2020.
FF++ C23 cropped frames is a dataset of image frames likely derived from the FaceForensics++ benchmark. The dataset appears to contain cropped facial images, possibly processed at a C23 compression level. It is hosted on Kaggle, but detailed metadata about its size, composition, and origin is unavailable.
Dietary behaviors among female adolescents. The dataset likely contains survey or observational data on food consumption patterns and related factors. It is published on Kaggle, but the author, organization, and specific collection details are unknown.
Vietnam is the geographic focus of this dataset. It likely contains street-level images, though the specific content and scale are unconfirmed. The dataset is hosted on Kaggle, but the author, organization, and last update date are unknown.
This database integrates rainfall extreme indices, temperature variables, and crop yield data for maize, wheat, and rice. It is aggregated at country, regional, and district levels to assess climate impacts on agriculture across West Africa.
Staple crops such as rice and wheat are tracked. The dataset likely contains yield and consumption metrics. The author and update date are unknown.
FoodInsSegbis is a dataset for computer vision tasks related to food. It was published on Kaggle, but its specific contents, size, and creation details are not documented. The dataset's name suggests it likely contains images of food items with segmentation annotations.
CBIS-DDSM-CLAHE-CROP is a dataset of mammography images hosted on Kaggle. The title suggests it is derived from the Curated Breast Imaging Subset of the Digital Database for Screening Mammography (CBIS-DDSM), likely processed using Contrast Limited Adaptive Histogram Equalization (CLAHE) and cropping techniques. The dataset's exact size, columns, and specific contents are unknown.
A dataset of cropped images intended for training or evaluating object detection models using the Detectron2 framework. Published on Kaggle, its specific content and scale require verification after download. The author, organization, and creation date are unknown.