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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,891 datasets
Legacy product from Geoscience Australia with no abstract available. The dataset likely contains micropaleontological analyses from the Kaufana No 1 well in Papua New Guinea. It was last updated on the platform in April 2026.
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 measurement with machine learning estimation for missing data, using sources like the World Food Program and UN-FAO. The data includes three sub-series for food, energy, and exchange rates, with unofficial exchange rate estimates.
Weekly updated price data for the Syrian Arab Republic, compiled by the World Bank. The dataset combines direct price measurement with machine learning estimates for missing data, using information from the World Food Program, FAO, and national offices. 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. 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, fuel, and exchange rates, with unofficial rate estimates.
Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank Development Economics Data Group. It provides historical and current price estimates for staple foods, fuel, and exchange rates in Somalia, using a combination of direct measurement and machine learning to fill gaps. The data is sourced from the World Food Program, UN-FAO, and select National Statistical Offices, with exchange rates from official and public sources.
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 public exchange rate sources, with missing values estimated using Machine Learning.
Weekly updated price data for Sudan compiled by the World Bank Development Economics Data Group. The dataset combines direct price measurement and machine learning estimation, sourcing information from the World Food Program, UN-FAO, and national offices. It includes three sub-series: Real Time Food Prices for staple foods, Real Time Energy Prices for fuel, and Real Time Exchange Rates.
Philippines real-time price data compiled 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 select National Statistical Offices. It includes three sub-series for food, energy, and exchange rates, with unofficial exchange rate estimates.
Nigeria's weekly updated price data compiled by the World Bank Development Economics Data Group. The dataset combines direct price measurements with machine learning estimates for missing data, using sources including the World Food Program, UN-FAO, and national statistical offices. Real-time exchange rate data from official and public sources are incorporated.
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 combines direct price measurement and machine learning estimation, sourced from the World Food Program, FAO, and national statistical offices.
Geoscience Australia Data provides a legacy dataset on micropalaeontology from samples collected in the Yule Island, Lakekamu River, and Popo areas of Papua. The dataset was last updated on 2026-04-30 09:05:57.781103. Available file formats include PDF and HTML, but detailed metadata such as column descriptions and sample data are unavailable.
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 sourced from the World Food Program, UN-FAO, select National Statistical Offices, and public exchange rate sources.
Mozambique's Real Time Prices dataset is 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 updated weekly, with the last recorded update 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 data includes three sub-series: food prices for staple items, fuel prices, and official and unofficial exchange rates.
Mali's real-time price data for food, energy, and exchange rates, compiled and updated weekly by the World Bank. The dataset uses direct measurement and machine learning to estimate missing values, drawing on sources like the World Food Program and FAO. It includes unofficial exchange rate estimates and is continually revised as new information becomes available.
Full information maximum likelihood regression estimates by Courtney B. Deviney, last updated in April 2026. The dataset analyzes factors influencing landowners' likelihood of participating in forestry, farm, and nature-based solutions programs. The file is 5.5 KB in size and is available in XLS format.
Sri Lanka's weekly updated price data compiled by the World Bank Development Economics Data Group. The dataset combines direct price measurement with machine learning estimation, sourcing information from the World Food Program, UN-FAO, and national offices. Real-time exchange rate data from official and public sources are used in the process.
Libya price data compiled weekly by the World Bank Development Economics Data Group. The dataset includes real-time food, fuel, and exchange rate estimates, updated using a combination of direct measurement and machine learning to fill gaps. 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 dataset is updated weekly, with the last recorded update on 2026-03-15.