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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,891 datasets
Weekly updated real-time price data for Lebanon, compiled by the World Bank Development Economics Data Group. The dataset combines direct price measurement with machine learning estimation for missing data, using sources like the World Food Program and UN-FAO. It includes three sub-series: food prices for staple items, fuel prices, and unofficial exchange rates.
Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank Development Economics Data Group. It includes three sub-series: Real Time Food Prices (RTFP) for staple foods, Real Time Energy Prices (RTEP) for fuel, and Real Time Exchange Rates (RTFX). The data is sourced from the World Food Program, UN-FAO, select National Statistical Offices, and uses machine learning to estimate missing values.
Hiroaki Hatano's dataset provides a multi-faceted evaluation of candidate cell dissociation technologies. The assessment is based on principles of food safety and manufacturing. The dataset was last updated on April 13, 2026.
Iraq's Real Time Prices dataset is compiled and updated weekly by the World Bank Development Economics Data Group. It includes three sub-series: food prices for staple items, fuel prices, and exchange rates, with estimates generated using direct measurement and machine learning. The data is sourced from the World Food Program, UN-FAO, and select National Statistical Offices, with the last update recorded on 2026-03 15.
Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank Development Economics Data Group. It includes three sub-series: Real Time Food Prices (RTFP) for staple foods, Real Time Energy Prices (RTEP) for fuel, and Real Time Exchange Rates (RTFX). The data is estimated using a combination of direct price measurement and machine learning, sourced from the World Food Program, FAO, and national offices.
Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank. It includes three sub-series: Real Time Food Prices (RTFP) for staple foods, Real Time Energy Prices (RTEP) for fuel, and Real Time Exchange Rates (RTFX). The data is updated weekly, with the last update recorded on 2026-03-15.
Weekly updated price data for Guinea-Bissau compiled by the World Bank Development Economics Data Group. The dataset combines direct price measurement with machine learning estimation for missing data, using sources like the World Food Program and UN-FAO. It includes three sub-series: Real Time Food Prices, Real Time Energy Prices, and Real Time Exchange Rates.
Gambia's Real Time Prices dataset is compiled and updated weekly by the World Bank Development Economics Data Group. It combines direct price measurement with machine learning estimation for missing data, using sources like the World Food Program and UN-FAO. The dataset includes three sub-series for food, energy, and exchange rates, with the last update recorded on 2026-03 15.
Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank. It combines direct price measurement with Machine Learning estimation for missing data, using sources like the World Food Program and UN-FAO. The dataset includes three sub-series: food staples, fuel prices, and unofficial exchange rates.
Weekly updated price data for the Congo, compiled by the World Bank Development Economics Data Group. The dataset includes real-time food and energy prices, as well as exchange rates, using a combination of direct measurement and machine learning estimation. Sources include the World Food Program, UN-FAO, and select National Statistical Offices.
Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank Development Economics Data Group. It includes three sub-series: Real Time Food Prices (RTFP) for staple foods, Real Time Energy Prices (RTEP) for fuel, and Real Time Exchange Rates (RTFX). The data is sourced from the World Food Program, UN-FAO, and national offices, with estimates updated as new information becomes available.
Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank Development Economics Data Group. It includes three sub-series: Real Time Food Prices (RTFP) for staple foods, Real Time Energy Prices (RTEP) for fuel, and Real Time Exchange Rates (RTFX). The dataset was last updated on 2026-03-15.
Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank. It combines direct price measurements with machine learning estimates for missing data, drawing on sources like the World Food Program and UN-FAO. The dataset includes three sub-series covering staple food prices, fuel prices, and exchange rates, including unofficial estimates.
Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank. It combines direct price measurement with Machine Learning estimation for missing data, using sources like the World Food Program and UN-FAO. The dataset includes three sub-series for food, energy, and exchange rates, with unofficial exchange rate estimates.
Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank Development Economics Data Group. The dataset includes three sub-series for food, energy, and exchange rates, with historical and current estimates based on price information from the World Food Program, FAO, and national offices. It was last updated on 2026-03 15 17:56:01.
Armenia's weekly updated real-time price data compiled by the World Bank. The dataset includes three sub-series: food prices for staple items, fuel prices, and exchange rates, including unofficial estimates. Data is sourced from the World Food Program, FAO, and national offices, with missing values estimated using machine learning.
Afghanistan price data compiled and updated weekly by the World Bank Development Economics Data Group. The dataset combines direct price measurement with machine learning estimation for missing data, using sources including the World Food Program, UN-FAO, and national offices. It includes three sub-series: Real Time Food Prices, Real Time Energy Prices, and Real Time Exchange Rates.
A collection of points and polygons representing one or multiple trees listed in the Significant Tree Register. It includes three attributes: Botanical ID, Number of trees, and a URL to the source data. The data is provided by the City of Hobart for general location indication.
Aggregating multiple geospatial layers for urban infrastructure in the City of Hobart, Australia, including Stormwater Branch Connections, Pipes, and Nodes. It is published by the City of Hobart Open Data and was last updated in March 2026. The specific row count and column details are unknown.
Encompassing geospatial layers for urban infrastructure and hydrology from the City of Hobart, including River and Creek Boundaries, Stormwater Pipes, and Cadastre Parcel Boundaries. It is provided by HCCGISICT and was last updated in March 2026. The specific row count and column structure are unknown.