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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
18,133 datasets
1990-2015 yearly data on nitrous oxide (N2O) emissions from global food systems, disaggregated by gas. The dataset was developed by EDGAR-FOOD and complemented with FAO land-use emission data, providing a consistent inventory for all countries.
Greenhouse gas emissions from global food systems are disaggregated by specific gas type, measured in million tonnes of CO2 equivalent. The data covers all countries with yearly frequency from 1990 to 2015, created by integrating the EDGAR-FOOD inventory with FAOSTAT land use emissions data.
EDGAR-FOOD inventory data provides greenhouse gas emissions from global food systems, disaggregated by gas type. The dataset covers all countries with yearly data from 1990 to 2015, created by researchers and complemented with FAO land-use emissions data. It represents a consistent global inventory for the entire food chain.
EDGAR-FOOD provides the first consistent global inventory of methane emissions from the entire food chain for all countries. Data covers emissions from production, distribution, consumption, and disposal stages annually from 1990 to 2015. The inventory was developed by researchers and integrates data from EDGAR-FOOD and FAOSTAT.
1990-2015 yearly data provides greenhouse gas emissions from the transport stage of the global food system. The dataset was developed using the EDGAR-FOOD inventory and complemented with FAOSTAT data on land-use emissions. It was created to aid understanding of energy demand and emissions across the composite food system.
EDGAR-FOOD provides the first consistent global inventory of greenhouse gas emissions disaggregated by each stage of the food chain for all countries. The data spans yearly emissions from 1990 to 2015, combining emissions from energy demand, agriculture, and land use change. It was developed by researchers and complemented with FAO data on agricultural land use emissions.
EDGAR-FOOD provides a global inventory of greenhouse gas emissions disaggregated by stage of the food system. The database covers all countries with yearly data for the period from 1990 to 2015. It was developed by Crippa et al. and integrates data from FAOSTAT.
EDGAR-FOOD provides greenhouse gas emissions data disaggregated by stage of the global food system. The inventory covers emissions from production, distribution, consumption, and disposal for all countries annually from 1990 to 2015. It was developed by Crippa et al. (2021) and complemented with FAO data on agricultural land use emissions.
1990-2015 data from EDGAR-FOOD and FAOSTAT details greenhouse gas emissions across the global food system. The inventory covers all countries annually, disaggregating emissions by stage of the food chain. It was developed by researchers to analyze energy demand, agriculture, and land use change emissions.
EDGAR-FOOD provides a global inventory of greenhouse gas emissions from food systems, disaggregated by stages like production, distribution, and end-of-life. The database covers all countries with yearly data for the period 1990-2015. It was developed by researchers and integrates data from EDGAR-FOOD and the FAOSTAT database.
1990-2015 yearly data on greenhouse gas emissions from global food systems, disaggregated by stage of the supply chain. The dataset combines emissions inventory data from EDGAR-FOOD with agricultural land use data from FAOSTAT. It was developed to support analysis of energy demand and emissions across production, distribution, consumption, and disposal stages.
Survey data from 1991 to the present details the feeding habits and diet composition of Adelie Penguins on Bechervaise Island, Antarctica. The data were compiled by Megan Tierney as part of her PhD thesis and are provided in two Excel spreadsheets. It is part of a larger compilation of dietary data from the Southern Ocean.
Supplementary material from a study on global kale germplasm phenomics and vegetative yield in controlled environment agriculture. The dataset, authored by Adrian Ming Jern Lee and released in 2026, contains plant breeding and high-throughput phenotyping data under a CC BY license.
Agricultural supply chain management data likely contains price volatility risk screening metrics. The dataset is hosted on Kaggle, but its specific origin, size, and creation date are unknown. Columns and sample data are unavailable, limiting immediate assessment of its content and structure.
Rwanda's natural resources management project provides a prototype methodology for environmental management in developing African countries. It includes data for 143 communes on agricultural production, crop acreage, nutritional composition, and livestock ownership, aggregated to the prefecture level. The project was developed by Michigan State University with data from the Government of Rwanda and donor agencies, culminating in findings from the early 1990s.
Four sediment samples from the old mouth of the Cowlitz River were analyzed in January 1991 for chemical contaminants and physical parameters. The study, conducted by SCIOPS, evaluated metals, hydrocarbons, pesticides, PCBs, grain size, and volatile solids to assess suitability for unconfined in-water disposal. Data are reported on a dry weight basis following EPA and U.S. Army Corps of Engineers methodologies.
California's Department of Food and Agriculture developed an integrated system to coordinate noxious weed management. The NWIS combines a public forum for land managers with a GIS-enabled database for field biologists to map infestations and track eradication. This metadata originates from a 1997 USGS workshop report.
Thirty members of the 1989 Australian National Antarctic Research Expedition at Davis station participated in a nutrition project comparing monounsaturated and polyunsaturated fats. The dataset records dietary intake, blood lipids, and anthropometric measurements across different dietary periods. The study was conducted by the Australian Antarctic Data Centre to assess impacts on cardiovascular risk factors.
Contaminant data from the U.S. Army Corps of Engineers' Columbia River sediment database as of May 1991. The report compiles measurements from Federal dredging projects in the Lower Columbia and Willamette Rivers. Data includes grain size, total organic carbon, ten metals, pesticides, PCBs, and PAHs for surface and core sediment samples.
A personal project dataset of approximately 300 conversations between a user and a tsundere AI assistant, formatted in ChatML. The dataset was created by author arskaz and last updated on March 23, 2026. It includes interactions covering daily life, technical help, and emotional exchanges.