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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
19,310 datasets
This dataset documents the external food environment for fonio and jute mallow in the communes of Boukombé and Natitingou in Benin. It captures vendor characteristics, crop availability, pricing, seasonality, and marketing conditions across food acquisition points. Data were collected via interviewer-administered surveys using the Open Data Kit platform.
Rukopys Precropped Train Dataset is a collection of images published on Kaggle. The dataset's title suggests it contains precropped images of manuscripts or handwriting intended for training purposes. The specific content, size, and origin of the data require verification after download.
European beech tree ring data from the Rhön Biosphere Reserve, Germany, collected in August 2021. The dataset contains tree ring width measurements derived from cores, with three trees sampled per site and multiple cores per tree. It is provided by the Environmental Information Data Centre.
Soil biogeochemical parameters were measured from destructively harvested samples at five experimental timepoints. The data originates from a lab manipulation experiment on alpine soil collected in Vent, Austria in March 2021, testing freeze-thaw and drought effects on microbial communities and biogeochemistry. The experiment was conducted at the University of Manchester between April and August 2021.
Field observations detail male cricket behaviors organized by time and duration. The dataset includes mean ground temperature measurements for each observation period. Data originates from a wild Gryllus campestris population in North Spain during 2019, provided by the Environmental Information Data Centre.
12 sites in Bulgaria, Albania, Kosovo, and Spain provide year-by-year tree growth data from 1900 to 2019. European Beech tree cores were sampled in late 2019 to address climatic gaps in the European Beech Tree Ring Network at hot and dry distribution edges.
Environmental monitoring data from 2016-2018 captures viable bioaerosols, endotoxin, and particulate levels at four distinct UK sites. Measurements include total bacteria, gram-negative bacteria, and fungi from urban, rural, compost facility, and chicken farm environments. The dataset was collected by the Environmental Information Data Centre.
High-resolution sensor measurements of tree motion in response to wind were collected at six sites in the UK, Puerto Rico, and Australia. The data was gathered from sensors mounted directly onto tree trunks between 1987 and 2015. The dataset includes measurements from species such as Larch, Kauri, and Mexican fan palm.
Fruit set and marketable fruit set percentages for commercial raspberry plants under four pollination treatments. The dataset includes fruit weight, length, width, and seed counts for a subset of collected fruit. Data was collected in Reading, England, from 2019 to 2021 by the Environmental Information Data Centre.
This dataset consolidates greenhouse gas emissions estimates for Colombian agriculture using a bottom-up approach. It contains two linked datasets: one with municipal-level representative production system data compiled from official sources, and another with farm-level survey data from CIAT-led projects. Emissions were calculated using the IPCC Tier 1 methodology and the CCAFS Mitigation Options Tool.
An agricultural image dataset intended for crop disease classification and pest detection tasks. The dataset focuses on cashew and maize plants, but specific details on collection method, size, and authorship are not provided in the available metadata. The last update date and license information are unknown.
A dataset from Kaggle containing consumer insights related to Traverse Bay Farms. The dataset's specific content, size, and collection details are unknown. Metadata is minimal; actual data requires verification after download.
The third National Health and Nutrition Examination Survey (NHANES III) was conducted by the United States Department of Health and Human Services from 1988 to 1994. It contains data for 33,994 persons aged 2 months and older, obtained through interviews and physical examinations. The dataset includes information on conditions like high blood pressure, diabetes, and obesity, as well as dietary intake and nutritional measures.
106 distinct soil units are mapped globally at a 0.5-degree latitude by 0.5-degree longitude resolution. This data set is a conversion of W. M. Post's 1-degree resolution version, based on Zobler's 1986 assessment of the FAO/UNESCO Soil Map of the World. It provides a foundational layer for global environmental and agricultural modeling.
Dietary flavonoid intake data linked to type 2 diabetes risk in U.S. adults. The dataset likely contains records of flavonoid subclass consumption, such as flavonols and anthocyanins, for a cohort of men and women. It was created by researcher Nicole M. Wedick for a study evaluating the relationship between these compounds and disease incidence.
Rita de Cássia Ribeiro‐Silva authored a paper analyzing the exacerbation of food and nutrition security risks in Brazil due to the COVID-19 pandemic. The work argues that risks to hunger have been present since 2016 and were intensified by the epidemic. It aims to contribute to the debate on governmental and societal measures to ensure food security during and after the health crisis.
Key flux data and N2O mixing ratios assembled from various sources quantify changes to the global nitrogen cycle driven by human activity. The data includes fertilizer production from 1920-2004, manure production from 1860-2004, crop N fixation estimates for 1860, 1900, and 1995, and tropospheric N2O mixing ratios from 1756-2004. It was compiled by Elizabeth A. Holland and made available through the ORNL DAAC for interdisciplinary study.
A global digital data base of soil properties is available at 1 degree longitude resolution. For each land cell, the data base includes major and associated soil units, surface texture, and slope; phase and miscellaneous land units are included where available. The data base was compiled by Leonard Zobler as part of an effort to improve modeling of the hydrologic cycle in the GISS General Circulation Model.
A global soil profile database designed for crop simulation models like DSSAT. The dataset integrates soil property data from SoilGrids 1km and ISRIC-AfSIS projects, processed onto a 5 arc-minute grid. It was developed by the International Research Institute For Climate And Society to provide gridded soil inputs for agricultural modeling.
This dataset supports a replication study examining how Irish emigrants compared to those who stayed behind during the Age of Mass Migration (1850-1913). The analysis finds emigrants were disproportionately from poorer farming and less literate households, with negative selection intensified by established migrant networks. The dataset is provided by author Dylan Shane Connor for the Journal of Economic History.