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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,323 datasets
Chinese county-level regions are covered by this dataset of carbon emissions estimated using machine learning methods. It provides granular data for sub-national analysis, supporting research into regional environmental impacts. The dataset is openly available under a Creative Commons license.
Simulation results from 1980 to 2020 model soil erosion sensitivity and risk in the agriculturally critical black soil region of Northeast China. The dataset was generated using the RUSLE and PLUS models, which are standard tools for predicting soil loss and land use change. Its full public release is pending acceptance of a corresponding manuscript.
Nimbus-7 satellite data measuring Total Solar Irradiance from the Earth Radiation Budget instrument. The National Aeronautics and Space Administration collected this data from a polar-orbiting, earth-oriented research-and-development platform. The dataset was last updated on 2026-03-12.
Hobart Press compiled this dataset for the book 'Visualizing Data'. It contains 22 data sets used as examples for statistical graphics and data visualization. The data was transformed for use in a tabular data benchmark focused on regression tasks with categorical and numerical features.
22 tabular datasets originally published in the book 'Visualizing Data' by Hobart Press. The data was used in a benchmark for regression tasks on mixed categorical and numerical features. Original source details and specific column information are not provided in the metadata.
NASA data comprising measurements of NACA 0012 airfoils at various wind tunnel speeds and angles of attack. The dataset, created by researchers Thomas F. Brooks, D. Stuart Pope, and Michael A. Marcolini, includes inputs like frequency, angle of attack, chord length, velocity, and displacement thickness to predict scaled sound pressure level.
Annual data on canola and soybean crushing, as well as oil and meal production, for Canada and the United States. Statistics Canada publishes this dataset, which was last updated in March 2026.
A final report analyzes the benefits of incorporating El Niño-Southern Oscillation (ENSO) forecasts into reservoir operation and hydroelectric power distribution procedures. The research, led by Principal Investigator Peter Waylen from the University of Florida, focuses on improving streamflow forecasts for major reservoirs in Colombia, Costa Rica, and Panama and estimating the financial benefits of this integration.
Results from a hardware-in-the-loop implementation testing the potential of residential buildings to provide frequency regulation services for the electric power grid. It includes data from simulated homes and a physical laboratory home coordinated via a grid aggregator, showing aggregate response to regulation signals on a timescale of seconds. The data is structured with columns for timestamp, topic ID, and value string.
Southern Grampians Shire Council provides a dataset of public toilet locations within its jurisdiction, last updated on 2026-03-25. The data is available in multiple geospatial formats including GEOJSON and SHP, suggesting it contains location coordinates. It is published under a CC-BY-4.0 license for open use.
Nexen Petroleum UK Ltd acquired this oil and gas industry site survey in April 2018 under licences P928, P986, and P2283. The British Geological Survey (BGS) hosts the dataset, which covers the UK offshore block 20/1. It was last updated in the platform on April 9, -2026.
An oil and gas industry site survey acquired under licence P2215 by Nexen Petroleum UK Ltd in 2018. The British Geological Survey (BGS) is the organization providing this data, which covers the block numbers 22/21 and 22/26. The dataset's last recorded update was on 2026-04-09.
June-July 2017 site survey for debris clearance and environmental assessment in UK offshore blocks 208/12, 208/17, 208/16, and 208/11. The survey was acquired under licence P1598 by Nexen Petroleum UK Ltd and is provided by the British Geological Survey. The dataset was last updated in the platform on April 9, 2026.
GS_493 is a debris clearance site survey for the oil and gas industry, acquired by Nexen Petroleum UK Ltd under licence P2062 in September 2016. The survey traversed blocks 206/11 and 205/11 on the UK Continental Shelf. The dataset is aggregated and provided by the British Geological Survey (BGS).
Upper Taylor Valley in Antarctica contains soil and salt samples collected from four high-altitude pits to investigate environmental history. The dataset likely contains pedological descriptions, moisture measurements, and salt composition analyses from samples taken over measured intervals up to 1.7 meters deep. The data was gathered by SCIOPS and last updated on January 12, 1998.
SCIOPS collected soil samples from oil-impacted and pristine sites near Scott Base, Marble Point, Lake Vanda, and Bull Pass in Antarctica. Analyses included isolation of hydrocarbon-degrading microbes, culturable heterotrophs, total petroleum hydrocarbons, and limiting parameters like water content, nutrient concentration, pH, and conductivity. The dataset was last updated in January 1999.
Germany's Bundesamt für Kartographie und Geodäsie provides a geospatial service for derived soil objects. The data is derived from the Authoritative Real Estate Cadastre Information System (ALKIS) and conforms to the INSPIRE directive for soil data. It was last updated on March 23, 2026.
OCHA oPt provides this geospatial record identifying the location of the single electric power plant within the Gaza Strip. The data is delivered in SHP format and reflects the facility status as of March 2026.
60 open file oils from Western Australia have ultraviolet fluorescence (UVF) surface maps, produced by AGSO's Petroleum and Marine Division. The data supports correlating sea surface hydrocarbon anomalies detected by Airborne Laser Fluorosensor surveys with specific oil sources.
National Laboratory of the Rockies provides a data lake containing multiple datasets for wind energy research. The data includes wind plant power production for various layouts, flow around turbine airfoils, and turbine noise production. Its purpose is to establish a standard benchmark for testing, comparing, and deploying new AI/ML methods.