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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,164 datasets
Data from May 10-13, 2010, contains processed Conductivity, Temperature, and Depth (CTD) measurements from the R/V Jack Fitz Cruise 01 in the Gulf of Mexico. The dataset includes parameters like dissolved oxygen, turbidity, and fluorometry, collected as part of the Deepwater Horizon oil spill Natural Resource Damage Assessment. It is provided as a series of quality-checked NetCDF files by the National Oceanic and Atmospheric Administration.
CTD measurements were collected aboard NOAA Ship Pisces to determine physical oceanographic parameters of the water column during the Deepwater Horizon oil spill response. The dataset contains processed and quality-checked casts with parameters including temperature, conductivity, depth, dissolved oxygen, and fluorometry. It was produced by the National Oceanic and Atmospheric Administration from a cruise occurring between August 19 and September 2, 2010.
Conductivity, temperature, and depth (CTD) measurements were collected aboard the R/V Brooks McCall during a 2010 cruise to assess water column parameters for the Deepwater Horizon oil spill response. The dataset includes processed and quality-checked profiles for temperature, conductivity/salinity, depth, dissolved oxygen, and fluorometry. It is provided by the National Oceanic and Atmospheric Administration as a series of NetCDF files.
Data on consumption of communal resources (electricity, thermal energy, natural gas, solid fuels, cold and hot water) from the States site of Ukraine. The dataset is published on the eu_open_data platform and was last updated on 2026-04-20 10:33:16.985025. The available file formats are .CSV.
A 2017 study integrated remote sensing, geophysical, acoustic, photographic, and geochemical techniques to investigate hydrocarbon migration. The research identified three areas of seepage on the southern flank of the Ashmore Platform, Australia, providing evidence for lateral migration from the Caswell Sub-basin. Findings reduce charge risk for regional exploration in the northern Browse Basin.
Annual production records from oil and gas wells in New York State provide a longitudinal view of the state's hydrocarbon output. The dataset is maintained by the State of New York and contains information from 2001 to the present, with data last updated in April 2026.
Oil and Gas Annual Production from the State of New York provides annual production information for oil and gas wells. Data coverage begins in 2001 and is updated to the present. The dataset is maintained by the State of New York.
Polygon features represent oil sands applications, agreements, leases, and licences across Alberta. The data documents the legal rights to explore for oil sands resources, managed by the Government of Alberta. Records were last updated in March 2026.
472 survey reports document biological, chemical, and locational data from approximately 520 seabed surveys commissioned by UK North Sea offshore oil operators. The UKOOA review compiled an inventory and database covering work from 29 contractors, agencies, and universities between 1975 and 1998. 203,945 records were exported to the NBN Gateway in October 2004 after data cleaning.
1,323 soil and regolith samples provide a baseline for elemental concentrations across the contiguous United States, collected at approximately one site per 6,000 square kilometers. U.S. Geological Survey research geologists gathered and analyzed these materials from 1958 to 1976 using standardized protocols. This collection represents the only national-scale geochemical dataset from this period with consistent analytical methods.
Provincial extent polygon features represent applications, agreements, leases, and licences for petroleum and natural gas exploration. The data includes varying term dates and conditions for these rights. It is maintained by the Government of Alberta and was last updated in March 2026.
A decade-old petroleum systems analysis for the Browse Basin offshore Western Australia collates molecular, isotopic, biomarker, and 13C/12C ratio datasets for wet gases and crude oils. The study redefines four distinct petroleum systems, detailing complex gas origins from multiple organic and inorganic sources within the basin's major hydrocarbon accumulations.
1,290 urban soil samples from Lafayette, Louisiana, measure the percentage exceeding USEPA, LDEQ, and local background levels for heavy metals. The dataset was published by Holly L. Heafner and last updated in March 2026. It is a small, 5.5 KB Excel file containing calculated pollution indices and correlations for specific metal(loid)s.
Aggregating hourly profiles for projected flexible electricity demand across U.S. states and sectors. It models demand under various scenarios of flexibility, electrification, and technology advancement for a subset of years from 2018 to 2050. The profiles were developed as inputs for the ReEDS model by the National Renewable Energy Laboratory.
1961 drilling data from the O.D.N.L. Penola No. 1 Well in South Australia, drilled to a total depth of 4985 feet between February 7 and May 5. The operation tested the Coonawarra subsurface structure, providing electric and mud logging, testing, and coring results. The well penetrated Oligocene to probable Upper Jurassic rock sequences, encountering minor gas showings but no commercial hydrocarbons.
A geospatial service from Lantmäteriet containing information on erosion conditions along the sea shores of southern Sweden. It is based on detailed mapping of beaches and the seabed, assessing erosion conditions using two different methods and providing a forecast for a 1-meter sea level rise. The data includes an erosion index based on soil analysis, slope, sediment budgets, and wind and wave exposure.
A 2000-row, 100-column subset of the OpenML electricity dataset, generated with a random seed of 4. It was created by Eddie Bergman using a Python script to uniformly sample columns and rows while preserving up to 10 target classes. The dataset is derived from the original OpenML dataset with ID 44156.
A 2,000-row, 100-column subsample of a larger electricity dataset, created with a random seed of 1. It was generated by Eddie Bergman using a script that uniformly sampled rows and columns while preserving up to 10 target classes. The original dataset is licensed as a US public domain work.
A 2,000-row subsample of an electricity consumption dataset, derived from the OpenML dataset with ID 44156. It was generated by Eddie Bergman using a script that selected 100 columns and 10 target classes. The data is provided under a US public domain license.
A 2000-row, 100-column, 10-class subsample of the original electricity dataset, generated with a specific random seed. The dataset was created by Eddie Bergman using a Python script for uniform sampling of rows, columns, and classes. Its license is us-pd, indicating it is in the public domain in the United States.