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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,326 datasets
Benin provides the geographic scope for this dataset comparing traditional, intermediate, and improved parboiling methods on two rice varieties, NERICA 4 and Gambiaka. It was created by Mamadou Fofana of the Africa Rice Center and likely contains measurements of heat-damaged grains, hardness, water uptake, and swelling ratios. The dataset size, specific columns, and last update date are unknown.
The Global Carbon Project has published estimates of global and national fossil CO2 emissions since 2001. The dataset is provided by Robbie M. Andrew of the CICERO Center for International Climate Research and includes data in both absolute and per capita forms, with associated metadata files. The methodology has been refined over subsequent years in response to feedback and identification of inaccuracies.
Polyline data maps oil and gas pipeline infrastructure locations in the Gulf of America Outer Continental Shelf federal waters. The dataset is maintained by the Department of the Interior and was last updated in March 2026. It is designated as a National Geospatial Data Asset.
Saline Soil Nutrient Spectral Data is a dataset containing hyperspectral soil nutrient records. The dataset is hosted on Kaggle. The specific source, collection method, and temporal coverage are unknown.
A rivers data layer derived from the USGS National Hydrography Dataset (2013) and used to model landscape resistance for the coastal marten (Martes caurina humboldtensis). The layer incorporates stream lines from Strahler stream orders 4 to 10, with resistance values assigned based on estimated difficulty for martens to cross. The dataset was created by the Department of the Interior and last updated on March 4, 2026.
The Smart Grid Power Market Dataset contains data related to coupled transmission and distribution market and grid operations. The dataset likely contains operational and market data from a smart grid context. Its specific size, source, and temporal coverage are unknown from the provided metadata.
Data on the consumption of electricity, thermal energy, natural gas, solid fuel, and water by municipal enterprises, institutions, and organizations. The dataset includes information on institutions, suppliers, service types, meter readings, and their fixation dates. It is published on the States site of Ukraine and was last updated on 2026-03 03.
Gulf of Mexico federal waters contain surface locations for oil and gas wells. The data is approximate and not an official record, with locations current as of March 2015. Updates are required to know the true distribution of well data.
Kaggle hosts a dataset concerning wind turbine operations. The dataset's specific origin, size, and temporal coverage are not detailed in the provided metadata. Its content likely contains measurements related to turbine performance or environmental conditions.
Initial soil data collected for cotton research in the Lubbock, Texas area during 1994. The dataset measures nitrate, ammonia, organic matter, and soil water capacity. It was produced by the organization SCIOPS.
R. J. Andres and Oak Ridge National Laboratory produced a 1° latitude by 1° longitude gridded time series of CO2 emissions from anthropogenic sources for 1751-2013. The data estimates emissions in million metric tons of carbon per year from fossil-fuel burning, cement manufacturing, and gas flaring. National annual estimates were spatially distributed using a 1984 human population grid as a proxy within political units.
A high-resolution historical shoreline dataset for the Port Valdez Oil Terminal in Alaska, derived from NOAA National Ocean Service maps. The data were automated for use as a GIS data layer and attributed using the NGS-developed C-COAST scheme to align with international hydrographic standards. This resource is part of a larger NOAA data collection.
Thomas A. Boden of Oak Ridge National Laboratory compiled this dataset of fossil fuel CO2 emissions. It provides estimates from 1751 to 2010, derived from historical energy production and trade statistics digitized from publications by Etemad et al. and Mitchell, with post-1950 data from United Nations energy statistics. The dataset includes emissions from coal, brown coal, peat, crude oil, cement production, and gas flaring.
T. A. Boden of Oak Ridge National Laboratory compiled this dataset of fossil fuel CO2 emissions. It provides estimates from 1751 to 2013, derived from historical energy statistics, production data, and international trade records. The methodology synthesizes multiple historical compilations and U.N. energy statistics, with specific procedures for cement production and gas flaring.
Thomas A. Boden of Oak Ridge National Laboratory compiled this dataset of fossil fuel CO2 emissions. It provides historical estimates from 1751 to the present, derived from national energy statistics, production data, and trade compilations digitized from multiple published sources. The methodology for calculating emissions follows established procedures from Marland and Rotty (1984) and Boden et al. (1995).
Historical energy statistics compiled from multiple sources enable fossil fuel CO2 emission estimates back to 1751. The dataset synthesizes production and trade data for coal, brown coal, peat, and crude oil, processed using established methods from Marland and Rotty (1984). It was created by Dennis Gilfillan of Oak Ridge National Laboratory, with post-1950 data primarily sourced from United Nations energy statistics.
Historical energy statistics from publications by Etemad et al. (1991) and Mitchell (1983-1995) enable fossil fuel CO2 emission estimates back to 1751. The dataset, compiled by Thomas A. Boden of Oak Ridge National Laboratory, integrates production and trade data for coal, brown coal, peat, and crude oil, with post-1950 data primarily from United Nations energy statistics. CO2 emissions from cement production and gas flaring are also estimated using data from the U.S. Geological Survey and other sources.
NOAA's Shoreline Mapping Program provides a high-resolution vector shoreline for the LNG Terminal in La Quinta Channel, Corpus Christi Bay, Texas. The data is compiled from imagery and structured for use in geographic information systems (GIS). It uses the NGS-developed C-COAST attribution scheme to align with international hydrographic standards.
NOAA's Shoreline Mapping Program provides a high-resolution vector shoreline for the Golden Pass LNG Terminal in Texas. The data is compiled from imagery and structured using the C-COAST attribution scheme to align with international hydrographic standards. This resource is part of a larger NOAA InPort collection (item 39808).
Palm oil production data for Kalimantan, Indonesia, spanning a 15-year period from 2010 to 2024. The dataset likely contains annual production figures measured in tons. Its origin and specific collection method are not detailed in the provided metadata.