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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
19,296 datasets
Raw RFood CK3 is a dataset hosted on Kaggle. Its title suggests it contains information related to food or recipes, possibly for culinary analysis or model training. The dataset's author, organization, and specific contents are unknown from the provided metadata.
A methodology for monitoring agricultural drought impacts in the semiarid region of Northeast Brazil. The work compiles information from different sources to identify impacted municipalities and support emergency actions. It includes an analysis of the 2015-2016 hydrological year using various water stress indicators.
A datasheet on the jackfruit species Artocarpus heterophyllus authored by Petra Bakewell-Stone. The description indicates coverage of topics including identity, biology, distribution, associated diseases, food quality, and economics. The dataset's specific size, format, and update date are not provided.
CABI provides an archival publication on haemorrhagic septicaemia, a disease affecting livestock. The description notes this publication may not reflect current scientific knowledge, with current information available from the University of Minnesota Agricultural Experiment Station. The dataset's specific format, size, and update date are unknown.
Aggregating qualitative data from four focus groups with 21 Ontario automated milking system (AMS) producers, conducted between December 2024 and January 2025. The analysis generated four main themes regarding factors influencing the implementation of internal teat sealant and selective dry cow therapy.
A World Bank Gender Statistics indicator measures the percentage of male respondents aged 15 and older who report using a mobile phone or card to pay for household food or cleaning supplies. The dataset provides a single metric for financial behavior analysis. Its creation date and temporal coverage are unknown.
Survey data measures the percentage of women aged 15 and older who used a mobile phone or card to pay for household food or cleaning supplies. The dataset originates from Gender Statistics at the World Bank. The specific time range and geographic coverage are not provided.
A World Bank Gender Statistics indicator measures the percentage of respondents aged 15 and older who used a mobile phone or card to pay for household food or cleaning supplies. The dataset provides a metric for digital payment adoption among adults. The organization responsible is Gender Statistics.
Survey data measures the percentage of male respondents aged 15 and older who report damage to their home or livestock from natural disasters or severe weather events in the preceding three years. The dataset is produced by the World Bank's Gender Statistics team. The specific temporal coverage and geographic scope are not detailed in the provided information.
Survey data from the past three years measures the percentage of female respondents aged 15 and over who report damage to their home or livestock from natural disasters. The dataset is produced by the World Bank's Gender Statistics team. It focuses on the impact of severe weather events on women.
World Bank Gender Statistics provides a dataset on the percentage of respondents aged 15 and over who report damage to their home or livestock from natural disasters in the past three years. The data is derived from survey responses, though the specific number of respondents, countries, and years is not detailed. It captures self-reported impacts of severe weather events on household assets.
World Bank Gender Statistics provides survey data on the percentage of male respondents aged 15 and over who report purchasing household food on credit. The dataset contains a single metric for each surveyed country and year. The data is compiled from household surveys conducted by the World Bank.
World Bank Gender Statistics provides survey data on the percentage of women aged 15 and over who purchase household food on credit. The dataset contains national-level indicators derived from household surveys. The data is compiled by the World Bank's Gender Statistics team.
A World Bank dataset measures the percentage of respondents aged 15 and over who report buying household food on credit. The data is compiled by the Gender Statistics organization from national surveys. It provides a metric for analyzing informal credit access related to food security.
Population data from the Africa Development Indicators series, derived from FAO sources. It provides estimates of the non-agricultural population as a residual from total and agricultural population figures. The temporal coverage and specific methodology are not detailed in the provided metadata.
World Development Indicators provides net carbon dioxide fluxes from Land Use, Land Use Change and Forestry (LULUCF), excluding non-tropical fires. Data is aggregated at the country level, quantifying emissions and removals in million tonnes of CO2 equivalent. The dataset is part of the World Bank's World Development Indicators collection.
Nitrous oxide emissions data tracks the percentage change from a 1990 baseline for each subsequent year. The dataset originates from the World Bank's WDI Database Archives, compiling figures from agricultural burning, industrial activities, and livestock management. The temporal coverage and total number of country-year records are not specified.
Nitrous oxide emissions data, measured in thousand metric tons of CO2 equivalent, is provided by the World Bank's WDI Database Archives. The data tracks emissions from key sources including agricultural biomass burning, industrial activities, and livestock management.
Methane emissions data tracks the percentage change from a 1990 baseline for each year, focusing on human activities like agriculture and industrial production. The dataset is compiled by the World Bank's WDI Database Archives. The temporal coverage and number of countries included are not specified.
World Bank data on methane emissions measured in kilotons of CO2 equivalent. The dataset originates from the WDI Database Archives and tracks emissions from human activities like agriculture and industrial production. Temporal and geographic coverage are not specified in the input.