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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
19,282 datasets
Comprising over 2,000 international acquisition records in the global food sector, spanning transactions from 45 source countries to 46 host countries. It was created by Nils Herger to analyze determinants of location and growth for cross-border acquisitions. The data differentiates between food processing and retailing acquisitions and includes higher and lower/middle income countries.
Over 2,000 international acquisition records in the global food sector, spanning transactions from 45 source countries to 46 host countries. It was created by Nils Herger to analyze determinants of location and growth for cross-border acquisitions. The data differentiates between food processing and retailing acquisitions and includes higher and lower/middle income countries.
A collection of over 2,000 international acquisition records in the global food sector, spanning transactions from 45 source countries to 46 host countries. It was created by Nils Herger to analyze determinants of location and growth for cross-border acquisitions. The data differentiates between food processing and retailing acquisitions and includes higher and lower/middle income countries.
Replication data for an academic comment on the pass-through rate of the Nutrition North Canada subsidy. The dataset includes Stata and Excel files to reproduce tables and figures from the paper. It was authored by Nicholas Li and hosted on Harvard Dataverse.
This dataset supports research on the uneven diffusion of cotton as a cash crop in colonial Africa, focusing on the period from approximately 1900 to 1960. It provides a comparative analysis between British Uganda and the interior of French West Africa, investigating the role of agricultural seasonality in shaping adoption, colonial policy, and post-colonial outcomes.
This dataset supports replication of a study analyzing the uneven diffusion of cotton as a cash crop in colonial Africa. It examines how agricultural seasonality affected farmers' adoption, contrasting outcomes in British Uganda and French West Africa from approximately 1900 to 1960.
This dataset supports an analysis of the 1933 Ukrainian famine, which caused up to 2.6 million excess deaths. It is used to evaluate the explanatory power of weather, collectivization policies, and ethnic discrimination on mortality rates.
This dataset supports an analysis of the 1933 Ukrainian famine, which caused up to 2.6 million deaths. It is used to evaluate the impact of weather, collectivization policies, and ethnic discrimination on excess mortality.
Food Images is a dataset hosted on Kaggle. The dataset likely contains photographs of various food items. Specific details regarding the number of images, source, collection method, and update date are unavailable.
Cattle_Disease_Dataset is a dataset published on Kaggle. It likely contains information related to diseases affecting cattle. The specific contents, scale, and origin require verification after download.
Cropquery-model is a dataset published on Kaggle. Its title suggests it contains data related to crop yield prediction or agricultural modeling. The dataset's specific content, size, and origin require verification after download.
Agricultural market price data from the Jind district mandi in India. The dataset is intended for tracking, analyzing, and predicting price movements. Its specific source, size, and temporal coverage are not detailed in the provided metadata.
A collection of replication files for a study analyzing the adverse effects of radioactive fallout from atmospheric nuclear testing on U.S. crop yields and livestock populations from 1945 to 1970. The data was compiled by author Keith Meyers from a myriad of sources for a dissertation project written in STATA.
Cauliflower Crop Dataset is a collection of high-quality, hand-annotated images for instance segmentation. The description indicates the annotations are formatted for use with the YOLOv8 object detection model. The dataset's author, organization, size, and temporal coverage are not specified in the provided metadata.
Environmental Information Data Centre provides a curated list of soil-based greenhouse gas removal practices. The selection is based on an analysis of biophysical, economic, and social impacts, forming part of the NERC-funded Soils-R-GGREAT project (NE/P019455/1). The list results from literature research and expert panel judgments.
Synthetic data designed for predicting agricultural productivity. The dataset likely contains variables related to climate and soil nutrients. Its origin, size, and specific features are not detailed in the provided metadata.
Soil moisture and Electrical Resistivity Tomography measurements within the top meter of soil at Church Field, Chimney Meadow National Nature Reserve. The data characterize a clay lens overlying sand and gravel soils, with detailed site geology documented.
Tree ring oxygen (δ18Otr) and carbon (δ13Ctr) isotope data for Macrolobium acaciifolium and Cedrela odorata species. The dataset covers five sites in the Amazon basin across Peru, Colombia, and Bolivia, with sample preparation at the University of Leeds and isotope measurements at the University of Leicester.
Hydrological data collected over two years of instrumental monitoring in fields of willow and Miscanthus energy crops. The study was part of the NERC Rural Economy and Land Use programme, focusing on the arable-dominated East Midlands and grassland-dominated South West England.
Strain data measured on the trunks of nineteen trees in Danum Valley, Malaysia, with accompanying wind speed data from nearby anemometers. The dataset can be used to extract fundamental swaying frequencies and quantify the relationship between wind speed and bending strain to estimate wind damage risk. The tallest tree in the set is approximately 51 meters tall.