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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,858 datasets
Victoria, Australia, is covered by a soil property map at six prescribed depths from 0 to 200 cm. The dataset includes pH, electrical conductivity, clay percentage, and soil organic carbon, derived from over 6,000 sites in the Victorian Soil Information System. It was created by the Understanding Soil and Farming Systems project and is Version 1.0 of the Victorian Digital Soil Map.
FASIR-adjusted NDVI data provides a 17-year, monthly record of terrestrial photosynthetic activity from 1982 to 1998. This NASA-funded dataset includes derived biophysical parameters essential for modeling surface-atmosphere energy exchange. It is a core component of the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II.
Cropland fraction data provides a spatially explicit reconstruction of permanent agricultural land cover for the Amazon Basin from 1900 to 1992. The dataset is a 5-minute resolution subset of a global historical croplands model developed by researchers Ramankutty and Foley at the University of Wisconsin's SAGE center. It covers the Large Scale Biosphere-Atmosphere Experiment (LBA) study area in South America, with snapshots for 11 decadal years.
A 1983 digital map of soil orders for the Ji-Parana River Basin in Rondonia, Brazil. The dataset was manually digitized from a 1:500,000 scale map produced by EMBRAPA, providing polygon-based classification of soil types. It is distributed as an ESRI ArcGIS Shapefile and is available on multiple platforms including NASA EarthData and Data.gov.
810 grain farmers in Sichuan Province were surveyed to analyze the impact of drone service purchases on green agricultural practices. The dataset likely contains responses on farmer demographics, service usage, and adoption of green technologies like low-toxicity pesticides and straw return. The data was uploaded by Guoyan Zeng on figshare in April 2026.
Integrated transcriptomic and metabolomic analysis of susceptible and resistant pea varieties reveals the central role of phenylpropanoid biosynthesis. The data profiles 17,554 metabolites and 34,566 annotated genes across three infection stages (0, 3, and 6 days post-inoculation). Author Yuanli Li published this dataset on figshare in April 2026 under a CC-BY-4.0 license.
Integrated transcriptomic and metabolomic data from a study of pea resistance to powdery mildew. The dataset profiles 17,554 metabolites and 34,566 annotated genes across two pea cultivars at three infection stages. It was authored by Yuanli Li and last updated on April 22, 2026.
Integrated transcriptomic and metabolomic data from a study comparing susceptible and resistant pea varieties during powdery mildew infection. The dataset includes profiles for 34,566 annotated genes and 1,754 identified metabolites across three infection time points. It was authored by Yuanli Li and last updated on April 22, 2026.
A 728.4 KB systematic review document summarizing evidence up to January 3rd, 2026. The review, authored by Martina Abodi, synthesizes findings from ten studies on the association between sustainable dietary patterns and nutrition-related outcomes in children and adolescents aged 0-18 years.
A scholarly review paper systematically dissects metabolic shifts in gouty arthritis, focusing on macrophage reprogramming from oxidative phosphorylation to glycolysis. Authored by Feng Xiao and uploaded to figshare in April 2026, the document explores the "metabolic-epigenetic" axis and emerging nanotherapeutic strategies targeting metabolic checkpoints. The file is a 578 KB PDF licensed under CC-BY-4.0.
Over 1.2 million samples across eight categories comprise ULVR_v2_clean, a cleaned dataset for visual reasoning. Each sample includes an input image and a question, with an assistant's response containing a visual token, intermediate steps, and a boxed answer. The dataset was created by RuoliuYang and was last updated on HuggingFace in June 2026.
A 2004-06 project by the Department of Energy, Environment and Climate Action for the Wimmera Catchment Management Authority produced this primary data output. It contains soil and land information at a scale of 1:100,000 for all freehold land in the Wimmera region of Victoria. The dataset integrates historical soil surveys, remote sensing, and new field work to map soil-landform units and assess degradation risks.
5.5 KB of performance metrics from a CatBoost model optimization experiment. The data, authored by Prosenjit Das, captures results from varying tree depth for a single cross-validation fold. It was last updated on June 1, 2026, and is shared under a CC-BY-4.0 license.
1998-2018 data provides estimates of soil organic carbon stocks in tidal wetlands across the northeastern United States. The dataset harmonizes point measurements from multiple government agencies and studies, predicting carbon at four soil depths for eight regional zones using Random Forest and Quantile Regression Forest models. Predictions and uncertainties are mapped at a 3-meter resolution for wetland cover types.
Model predictions and evaluation metrics supporting the paper "Are Current AI Virtual Cell Models Useful for Scientific Discovery?". The 10.0 GB dataset includes predicted gene-level perturbation effects and reasoning traces from large language models. Author Michael Bereket released the data on figshare in May 2026 to enable reproduction of the study's figures.
2557 exported frame pairs derived from 20,918 source replay frames of a Unitree Go2 robot. The dataset is designed for the WorldForge score contract, linking current robot-view images and candidate action deltas to predicted future visual latents. It was created by user 'espejelomar' and last updated on Hugging Face in May 2026.
A spatial dataset collated from 1994 to 2013 by Ian Sargeant and Mark Imhof, with a dominant soil type assigned in June 2013. It contains soil and landform classification for the Gippsland region of Victoria at a scale of 1:100,000, derived from a combination of past studies. The dataset includes Australian Soil Classification (Order and SubOrder) in its attribute table.
14 FTTP network deployment projects listed in an anticipatory notice from VostroNet (Australia) Pty Ltd, filed on 28 April 2026. The data includes project identifiers, contract dates, service addresses, and estimated completion dates ranging from 2026 to 2030. The notice is part of the SIP Register on data.gov.au.
Western Australia aquaculture locations are summarized for state marine and estuarine waters. The data was recorded and submitted to the Western Australia Department of Primary Industries. The dataset was last updated on June 5, 2026, and is provided by the Australian Ocean Data Network.
35 common tree species in England were classified using Sentinel-2 satellite data and an XGBoost machine learning model. The Forestry Commission produced this map, which achieved an overall classification accuracy of 89%. The dataset was last updated in April 2026.