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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,408 datasets
A real-world collection of images depicting fresh and rotten oranges. The dataset is sourced from Kaggle and likely contains visual examples of diverse spoilage conditions. The author, organization, and specific collection details are not provided.
A dataset of 1,300 food and product items with associated CO2e emissions, sourced from Kaggle. The data is intended for machine learning and analysis tasks related to environmental impact. The author, organization, and specific collection methodology are not detailed.
Replication data for a study on electricity quality and firm behavior, authored by Meera Mahadevan and hosted by the Economic Development and Cultural Change Dataverse. The dataset was last updated on March 17, 2026.
Hourly time series from 1979 to 2019 for 28 European countries, derived from ERA5 reanalysis data. The dataset includes aggregated wind and solar power generation based on a 2017 farm distribution, plus corresponding daily national electricity demand. It was produced by Hannah Bloomfield to investigate inter-annual variability of weather-dependent power system components.
A time series of Brent crude oil prices and volumes sold on the London International Exchange, analyzed using nonlinear techniques for complex systems. The analysis was conducted by Sary Levy Carciente of the Central University of Venezuela. The data shows price variations are asymmetric in time, with higher odds for large decreases compared to increases.
Starting in 2015, the National Renewable Energy Laboratory (NREL) has presented the Annual Technology Baseline (ATB) in an Excel workbook containing detailed cost and performance data for renewable and conventional electricity generation technologies. This version provides the final updates for the 2021 ATB, with data from 2015-2020 hosted on data.nrel.gov and 2021 onward in a cloud-optimized OEDI data lake. The data is documented on the website atb.nrel.gov.
A simulation-based dataset from a paper discussing a control strategy for variable speed heat pumps. The approach uses real-time smart meter readings to adjust compressor speed based on available photovoltaic power, tested in a detailed building simulation for a German multi-family house. The research indicates a 6% increase in PV self-consumption compared to heat-driven control.
Global gridded maps for selected soil parameters, including soil texture, were produced by the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II). The data set provides 36 files at a 1.0 by 1.0 degree spatial resolution and for two soil depths, adjusted to match a land/water mask. It was derived from methods developed by the Global Soil Data Task, coordinated by the International Geosphere-Biosphere Programme.
World Bank Development Indicators (WDI) Database Archives provide a dataset titled 'CO2 emissions, industrial (kg per 1987 US$ of GDP)'. The data likely contains time-series measurements of industrial carbon dioxide emissions normalized by economic output. Columns suggest metrics for different countries or regions, tracking the relationship between industrial production and environmental impact over time.
CO2 emissions from industrial activity are measured relative to economic output in kilograms per 1987 US dollar of GDP. This dataset originates from the World Bank's World Development Indicators (WDI) Database Archives. The specific temporal and geographic coverage requires verification after download.
World Bank data on the cost of fats and oils, measured in local currency units. The dataset is part of the FPN Datahub Archive, but specific temporal coverage, geographic scope, and data volume are not detailed in the provided metadata. Columns likely contain price information, commodity types, and location identifiers.
Comprising daily pricing data from gas stations on small Greek islands, used to study the pass-through of four major tax changes in petroleum products. The analysis found asymmetric pass-through where tax hike effects were five times larger than tax decreases. The data was collected by Christos Genakos.
Featuring daily pricing data from gas stations on small Greek islands, used to study the pass-through of four major tax changes in petroleum products. The analysis found asymmetric pass-through where tax hike effects were five times larger than tax decreases. The data was collected by Christos Genakos.
A 2026 compilation provides predictive soil property maps for the Colorado River Basin above Hoover Dam, generated using random forest models on environmental raster layers and field samples. The dataset includes estimates for soil pH, texture fractions, electrical conductivity, organic matter, and other properties at 7 depths, with model accuracy (R²) ranging from 0.20 to 0.76. More than 90% of the underlying soils data was sampled since the year 2000.
Measured Urban Soil Chemistry data provides locations and concentrations of Arsenic, Cadmium, Chromium, Nickel, and Lead in urban topsoil. Derived from the British Geological Survey's high-resolution G-BASE project, this information supports initial human health and ecological risk assessments for land use planning.
British Geological Survey (BGS) digital point source data provides locations and concentrations of Arsenic, Cadmium, Chromium, Nickel, and Lead in urban topsoil samples. The dataset is derived from the national G-BASE project for assessing human health and ecological risks related to land use. It assists in identifying areas requiring detailed risk assessments by environmental professionals.
Daily spot prices for West Texas Intermediate crude oil, a key energy commodity. The data is sourced from the U.S. Energy Information Administration. The specific time range and number of records are not provided in the metadata.
EDGAR data likely contains corporate greenhouse gas emissions disclosures filed with the U.S. Securities and Exchange Commission. The dataset is published on Kaggle, but its specific temporal coverage, size, and authorship are unknown from the provided metadata. Columns may suggest emissions metrics, company identifiers, and reporting periods.
Validation AIrfoils for ML Models is a dataset hosted on Kaggle. The title suggests it contains aerodynamic profiles used for testing and validating machine learning models. Its specific contents, scale, and origin require verification after download due to minimal provided metadata.
Three tensiometers measured soil water tension at depths of 10 cm, 30 cm, and 50 cm. Data was sampled every 10 minutes from September 2008 to December 2009 at the Llyn Hir grassland site in Wales, UK, with each measurement accompanied by a quality assurance code.