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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,424 datasets
A dataset published on Kaggle by user khoilv2005. The title suggests it contains modules or components related to federated learning, a machine learning technique. The specific content, scale, and creation date are not detailed in the available metadata.
Daily time-series data for Brent crude oil spot prices, sourced from the FRED (Federal Reserve Economic Data) database. The dataset is published on Kaggle and is categorized under Energy. Specific temporal coverage, row count, and column details are not provided in the metadata.
790 soil samples from around the world contain measured soil water retention, hydraulic conductivity, and water diffusivity data. The UNSODA database, developed for practitioners and researchers, provides these unsaturated hydraulic properties and pedological information to quantify water flow and chemical transport in the vadose zone. Its second version, released for Microsoft Access-97, offers enhanced data search, compatibility, and graphical output options.
Area-related information on combined heat and power plants is provided by the Bundesamt für Kartographie und Geodäsie. The dataset includes plant location, installed capacity, and electricity feed-in to the public grid. It was last updated on 2025-12-19.
RheaSoilNutrientPredictionDataSet is a dataset published on Kaggle for predicting soil nutrient properties. The dataset's specific content, size, and origin are not detailed in the provided metadata. Its columns likely contain features for modeling soil chemistry, but the exact variables and data collection method require verification after download.
Zindi Rhea Soil Nutrient Prediction Challenge data likely contains soil property measurements for predictive modeling. The dataset originates from a Kaggle-hosted competition focused on agricultural analytics. Specific column details, sample data, and volume are currently unknown.
ElectricityLoadDiagrams20112014 is a dataset hosted on Kaggle. The title suggests it contains time-series data related to electricity load or consumption patterns. The specific source, scale, and structure of the data are unknown from the provided metadata.
A dataset for simulating outage risks and assessing the reliability of assets within a smart electrical grid. It is published on Kaggle and is tagged for classification tasks within the energy domain. The specific source, size, and temporal coverage are not detailed in the available metadata.
Wish-LOIL is a dataset hosted on Kaggle. The dataset's specific content and structure are not described in the available metadata. Its title suggests a potential connection to energy and power domains, but details require verification after download.
Rhea Soil Challenge is a Kaggle-hosted dataset for a machine learning competition focused on soil science. The dataset is associated with a challenge, suggesting it is designed for predictive modeling tasks. Its specific contents, such as soil property measurements or crop yield data, are inferred from the platform tags.
480+ monthly price records of crude oil spanning from 1983 to the current year. The dataset tracks historical price fluctuations in the global energy market over a 40-year period.
TEMPO V03 solar irradiance files provide calibrated measurements from the working solar diffuser. The Level 1 product includes radiometrically and wavelength calibrated solar irradiance for UV and visible bands, along with noise data, viewing geometry, and quality flags. These provisional data were produced by the LARC_CLOUD organization using a L0-1b processor and reached validation on December 9, 2024.
Electricity data published on Kaggle. The dataset's specific content, scale, and origin are not detailed in the available metadata. Users must download the dataset to verify its structure, coverage, and suitability for their projects.
217 countries and territories are tracked over a 30-year period measuring the percentage of the population with access to electricity. The data is categorized by year and geographic region to monitor progress toward UN Sustainable Development Goal 7.
City of Seattle's Building Energy Benchmarking Program requires annual reporting for non-residential and multifamily buildings larger than 20,000 square feet. This dataset contains disclosed performance records from 2015 to 2024, covering metrics like Energy Use Intensity (EUI) and greenhouse gas emissions. It is maintained by the City's Office of Sustainability and Environment.
Developed by solution-seeker-as and last updated in February 2026, this dataset provides simulation data and code for multiphase flow in oil and gas wells. It serves as the official repository for the ManyWells project, focusing on petroleum engineering applications and fluid dynamics.
Local Law 84 mandates annual energy and water benchmarking for New York City buildings over 50,000 square feet. The dataset contains reported data from 2022 onward, submitted via the EPA's Portfolio Manager tool. It includes property IDs and associated tax lot (BBL) or building (BIN) identifiers.
WMS SL DOP20 (2011) is a collection of digital orthophotos with a ground resolution of 20 centimeters, captured in 2011. The dataset is provided by the Bundesamt für Kartographie und Geodäsie (Federal Agency for Cartography and Geodesy) and is accessible via a Web Map Service (WMS). The data was last updated in the platform's catalog on 2025-11-24.
ZIP code-level electricity and natural gas usage data reported by utilities under New York State regulation. The dataset includes metrics such as number_of_accounts and value for each month and utility_display_name, beginning in 2021. It is published by data.ny.gov and sourced from the state-mandated Utility Energy Registry.
Bundesamt für Kartographie und Geodäsie provides development plans for the municipality of Schmelz in Saarland, Germany. The dataset specifically covers the "Wind Turbine East of the Höfe 2/2" plan and its surrounding areas. It was last updated on 2025-11-04 and is available as a WMS service.