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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,324 datasets
A dataset of oil palm fruit images published on Kaggle. The specific collection method, time range, and geographic origin are not detailed in the available metadata. The dataset likely contains visual data of palm fruit bunches, which could be used for tasks like ripeness classification or yield estimation.
Delivering EnergyPlus model parameters and longitudinal operational energy data for a nearly zero-energy timber-frame house in Aalter, Belgium, spanning 2019 to 2022. Created by Thanina Hammouma of SBD Lab, the records include monthly electricity, gas, and photovoltaic production used to validate the thermal performance of integrated bio-based phase change materials (BioPCM).
NOAA's Deepwater Horizon Lessons Learned Studies collected data on oil slick coverage and thickness at the MC20 site, which has experienced a chronic oil discharge since 2004. The research, primarily funded by the U.S. Department of the Interior and BSEE, involved synoptic collection of satellite and airborne imagery, surface characterization, and chemistry data during field campaigns in 2016, 2017, and 2018. These specific data are part of the MC20 field research and are shown in NOAA's Environmental Response Management Applications (ERMA).
NOAA's Deepwater Horizon Lessons Learned Studies produced this dataset on oil slick detection methods. The research combined satellite imagery, airborne imagery, and surface characterization at the MC20 site, a location with a chronic oil discharge since 2004. Data shown here are from field research primarily funded by the U.S. Department of the Interior and NOAA in 2016, 2017, and 2018.
Annual estimates of carbon dioxide emissions from fossil fuel consumption for each U.S. state and the District of Columbia. The data was calculated by T. J. Blasing of Oak Ridge National Laboratory using fuel consumption data and thermal conversion factors from the U.S. Energy Information Administration. It covers a 42-year period from 1960 through 2001.
A Soil Resources Inventory (SRI) product for the Alagnak Wild River in Alaska, created by the Department of the Interior. The data includes maps of soil locations and information on their physical, chemical, and biological properties, intended as the official database for agency soil resource applications. The dataset was last updated on 2026-03-04.
Soil macrofauna characteristics including species composition, abundance, and biomass for forest-tundra ecotones in the Khibiny Mountains, Kola Peninsula, Russia. The data also include soil temperature and chemistry measurements from these ecosystems. The dataset is provided by SCIOPS and hosted on NASA EarthData.
The Tellus geochemical survey collected soil samples at two depths (20 cm and 50 cm) from approximately one site per 2 km² across rural and urban areas of the United Kingdom. Conducted from 2004 to 2006 by the British Geological Survey, the dataset includes XRF analyses for over 50 elements including Ag, As, Ba, Pb, and Zn, plus pH and Loss on Ignition measurements.
British Geological Survey metadata for oil and gas industry site surveys, indexed since 2009. The collection describes survey data acquired under exploration and production licences from 1997 onwards.
Electricity costs from a water intake facility, published by the City of Bloomington on the datagov platform. The dataset was last updated on March 22, 2026. Available file formats include CSV, JSON, RDF, and XML.
Oil palm data published on Kaggle. The dataset's specific content, scale, and origin are not detailed in the available metadata. Further details about the number of records, features, or creation date require verification after download.
Mesocosm experiments conducted in June and August 2011 measured the effects of oil, dispersant, and dispersed oil on marine microbial communities. Abundances of viruses, prokaryotes, diatoms, dinoflagellates, ciliates, and heterotrophic nanoflagellates were tracked over time and compared against control conditions. The data was collected by the Dauphin Island Sea Lab and is hosted by NOAA NCEI.
Tomislav Hengl provides a global raster dataset of soil bulk density for the fine earth fraction. The data covers six standard depths from 0 to 200 cm at a 250-meter spatial resolution, representing mean values for the period 1950 to 2017. Antarctica is not included in the spatial coverage.
1950-2017 soil water content predictions at six standard depths, based on a global compilation of soil profiles from sources like USDA NCSS and ISRIC WISE. The data provides volumetric water content percentages at 33 kPa and 1500 kPa suctions, mapped at a 250-meter resolution. It was created by Tomislav Hengl and excludes Antarctica.
Since 1751, over 400 billion metric tonnes of carbon have been released from fossil fuel consumption and cement production. This dataset provides historical estimates of CO2 emissions at global, regional, and national levels, compiled by Gregg Marland of Appalachian State University from sources including U.N. energy statistics and historical production and trade compilations. The 2014 global fossil-fuel carbon emission estimate was 9855 million metric tons, an all-time high.
Annual emissions of carbon dioxide equivalent from installation operators in England regulated under the EU Emissions Trading Scheme holding a Greenhouse Gas Emissions Permit. The data is provided by the Environment Agency, copyright and/or database right 2016. It likely contains annual totals for regulated installations.
NutriSafe VRP is a dataset for vehicle routing problems with a focus on perishable goods, published on Kaggle. The dataset likely contains information relevant to modeling food spoilage during transportation. The specific columns, data volume, and creation details are unknown.
31 areas were released as part of the 2013 Offshore Petroleum Acreage Release. The dataset is provided by Geoscience Australia Data and was last updated on March 25, 2026. It likely contains geospatial boundaries for offshore exploration zones.
Soils belonging to the Mollisols, Histosols, and Inceptisols Orders were identified in the harsh Antarctic climate. The study presents soil classifications at the subgroup level with textural family, following the 1996 Soil Taxonomy. It was conducted by the Institute of Soils of INTA, Castelar, using reconnaissance methodologies.
EUMETSAT's dataset provides hourly estimates of solar irradiance reaching the Earth's surface, derived from the SEVIRI instrument on the Meteosat geostationary satellite. Data is produced by applying a physical parameterization algorithm to satellite imagery and is remapped onto a 0.05-degree regular grid. The product is interpolated to rounded Universal Time hours, though pixel observation times vary.