AndreaBozzo/ceres-open-data-index huggingface dataset:
Multi-Sensor Object Detection Data from Infrastructure Sensors Deployed at Traffic Intersections in the City of Colorado Springs, Colorado, USA

The dataset provided here was collected as a part of the US Department of Transportation (USDOT) Strengthening Mobility and Revolutionizing Transportation (SMART) project, where the City of Colorado Springs (Colorado, USA) and National Renewable Energy Laboratory (NREL) collaborated to collect object-level trajectory data from road users using multiple types of infrastructure sensors deployed at different traffic intersections. The data was collected in 2024 across multiple days at various intersections in and around the City of Colorado Springs. The goal of the data collection exercises was to learn various attributes about infrastructure sensors and to build a repository of high resolution object-level data that can be used for research and development (such as for developing multi-sensor data fusion algorithms).Data presented here was collected from sensors either installed either on the traffic poles or hoisted on top of NREL’s Infrastructure Perception and Control (IPC) mobile trailer. The state-of-the-art IPC trailer can deploy the latest generation of perception sensors at traffic intersections and capture real-time road user data. Sensors used for data collection include Econolite’s EVO RADAR units, Ouster’s OS1 LIDAR units and Axis Camera units. The raw data received from individual sensors is processed at the edge compute device located inside the IPC mobile Lab, and the resulting object-level data is then stored and processed offline. Each data folder contains all the data collected on the day. We have transformed (rotation then translation) the raw detections to ensure the data from all sensors is represented in the same cartesian coordinate system. The object list attributes impacted from the transformation are PositionX, PositionY, SpeedX, SpeedY and HeadingDeg. The rest of the data attribute remains untouched. Users should note that we do not claim that this transformation is perfect and there may be some misalignment among the different sensors.

Tags: infrastructure-sensors, object-detection, perception-agents, telemetry, traffic-intersections
Organization: Department of Energy
U.S. Geothermal District Heating and Cooling Systems Data

This dataset contains detailed information on geothermal district heating and cooling systems across the United States, including geothermal direct use-based district heating systems and geothermal heat pump (GHP)-based district heating and cooling systems. 

The direct use-based district heating information includes technical specifications, costs, energy usage, and funding sources. Data fields include state, site, location, operational years, temperature, flow rate, capacity, energy use, load factor, costs (original, updated, and operational), funding sources, employment impact, and project status. Contributions to these systems are also included, such as federal, state, and local grants, as well as loans from agencies including USDA and USDOE.

The GHP-based district heating and cooling portion of the dataset contains locations of current and prospective systems across the United States. The current (operating) installations dataset comprises single large buildings and GHP installations serving more than two buildings. Original data for the operating installations were compiled by DOE from Cross et al. (2011) and multiple public sources, including news clippings, press releases, and developer and college websites. Together, these datasets provide location, technical, cost, and funding information for geothermal district energy systems in the United States.

Tags: direct-use, district-energy, district-heat, district-heating-and-cooling, economics, energy, geothermal, geothermal-district-heating, geothermal-energy, geothermal-heat-pumps, geothermal-system-costs, ghp, infrastructure, operational-data, processed-data, project-status, renewable-heating-systems, thermal-energy-network
Organization: Department of Energy
Modeled Electricity Demand Profiles for Electric Airport Ground Support Equipment in the United States

Electric airport ground support equipment (eGSE) hourly annual (8760) load datasets for the top 50 U.S. airports (by enplanements), as described in Liu et al. (2025).Please cite as:Liu, Bo, Kevin Robby, Jayaraj Rane, Adway Das, Kara Podkaminer, and Brennan Borlaug. 2025. Hourly Load Profile Dataset for Electric Airport Ground Support Equipment in the United States. Golden, CO: National Renewable Energy Laboratory. NREL/TP-5400-92139. https://www.nlr.gov/docs/fy25osti/92139.pdf

Tags: airports, electric-vehicles, ground-support-equipment, load-profiles
Organization: Department of Energy
DEPRECATED - Sharing the Sun Community Solar Project Data (June 2019)

This data set is no longer current – The most current data and all historical data sets can be found at https://data.nlr.gov/submissions/244&nbsp;This database represents a list of community solar projects identified through various sources as of June 2019. The list has been reviewed but errors may exist and the list may not be comprehensive. Errors in the souces e.g. press releases may be duplicated in the list. Blank spaces represent missing information. NREL invites input to improve the database including to - correct erroneous information - add missing projects - fill in missing information - remove inactive projects.&nbsp;Updated information can be submitted to the contact(s) located on the current data set page linked at the top.

Tags: capacity, community-solar, service-territory, solar, utility
Organization: Department of Energy
Modeled Electricity Demand Profiles for Federal, State, and Municipal Electric Vehicle Fleets in the United States

Federal, state, and municipal electric vehicle fleet hourly load datasets at the Uber H3 hex, county, and city resolutions, as described in Singer et al. (2025).Please cite as:Singer, Mark, Cabell Hodge, Kara Podkaminer, and Brennan Borlaug. 2025. Hourly Load Profile Dataset for Federal, State, and Municipal Electric Vehicle Fleets in the United States. Golden, CO: National Renewable Energy Laboratory. NREL/TP-5400-92142. https://www.nlr.gov/docs/fy25osti/92142.pdf

Tags: electric-vehicles, federal, fleets, load-profiles, municipal, state
Organization: Department of Energy
ResStock County/Household Income Assignment CHIA

These data tables are cross-tabulations that provide the distribution of households by household income, converted to Federal Poverty Level (FPL) or Area Median Income (AMI) bins, and tenure status (owner or renter), specified by location and various household characteristics including vintage, size (floor area), cooling system type, and heating fuel type. These household characteristics were identified as strongly correlated with household income. All of the tables are tab-separated value (.tsv) formatted and gzip compressed.&nbsp;Four versions of the tables are provided:&nbsp;1) using AMI bins and including only single-family detached homes (files beginning with AMI_SFD)2) AMI bins with all home types (files beginning with AMI_MF)3) FPL bins with only single-family detached homes (files beginning with FPL_SFD)4) FPL bins with all home types (files beginning with AMI_MF).&nbsp;Additional detail on the contents of these files can be found in the README.

Tags: acs, ahs, buildings, demographics, income, lmi, low-income, residential, resstock
Organization: Department of Energy
Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following)

This dataset shows the operation of the fuel cell inverter under grid-forming mode of operation, grid-following mode of operation and transition between the two modes.

Tags: artificial-intelligence, database-for-artificial-intelligence-training, database-for-inverter-characterization, database-for-machine-learning, fuel-cell-inverter, fuel-cells, grid-following-fuel-cell-inverter, grid-forming-fuel-cell-inverter, machine-learning, microgrid-controller, microgrid-operation
Organization: Department of Energy
Heterostructural Rocksalt-Wurtzite Interfaces

Data and code accompanying the following publication:&nbsp;Sharad Mahatara and Stephan Lany, "Heterostructural interface engineering for ultrawide gap nitrides from first principles: TaC/AlN and TaC/GaN rocksalt-wurtzite interfaces," Physical Review Applied 22, 054044 (2024). https://doi.org/10.1103/PhysRevApplied.22.054044&nbsp;

Tags: atomic-structure, density-functional-theory, interfaces, wide-gap-materials
Organization: Department of Energy
Fuel Cell Inverter Dataset

This data set contains the three phase AC voltage, three phase AC current, DC voltage and DC current. These data sets were captured during fuel cell inverter operation in grid-connected dispatch, islanded load changes, transition from grid-connected mode to islanded mode and vice-versa.

Tags: artificial-intelligence, database-for-artificial-intelligence-training, database-for-inverter-characterization, database-for-machine-learning, fuel-cell-inverter, fuel-cells, grid-following-fuel-cell-inverter, grid-forming-fuel-cell-inverter, machine-learning, microgrid-controller, microgrid-operation
Organization: Department of Energy
Average and Marginal Capacity Credits of Renewable Energy and Battery Storage in the United States Power System

This dataset contains capacity credit values of solar PV, onshore and offshore wind, and 4-hour and 8-hour battery storage at the ReEDS' BA region resolution. The dataset is an output of the 2023 Standard Scenarios, generated using the Regional Energy Deployment System (ReEDS) model.

Tags: reeds, renewable-energy
Organization: Department of Energy
State Policies and Programs for Community Solar

The purpose of this dataset is to summarize current community solar policies and related stipulations by state in the United States. The dataset is updated multiple times per year. The current version is the first file located below.&nbsp;Previous versions of the dataset published before August of 2024 can be found in the dataset below labeled “ARCHIVE_State Policies and Programs for Community Solar_Before 08.24.“&nbsp;This list has been reviewed, but errors may exist, and the list may not be comprehensive. NLR invites input to update or add to the database. Please submit updates, additions, and corrections to Jenna Harmon and Sonja Berdahl.

Tags: community-solar, solar, solar-policy
Organization: Department of Energy
CloudCV 10-Second Sky Images and Irradiance Dataset

The CloudCV 10-Second Sky Image and Irradiance Dataset contains sky images and irradiance measurements recorded every 10 seconds during daylight hours for 90 days between September 5th to December 3rd, 2019. The dataset was collected at the National Renewable Energy Laboratory (NREL) Solar Radiation Research Laboratory (SRRL) mesa-top campus in Golden, Colorado, USA. The instruments used include an ELP 180 degree Fisheye Lens Wide Angle USB Camera webcam and a co-located LICOR LI200 pyranometer.&nbsp;Historical datasets containing other measurements from co-located instruments with overlapping time period may be available from the NREL Baseline Measurement System. The purpose of collecting this dataset was to train very short term solar irradiance forecasting models from sequential image data of cloud cover. A more detailed description of the CloudCV sky imager and some preliminary analysis conducted with the dataset can be found in NREL Technical Report NREL/TP-2C00-77999.&nbsp;The code repository contains the sky imager's firmware, as well as analysis code and Jupyter notebooks used to perform a preliminary analysis of the short term cloud cover prediction using a linear advection method based on optical flow. The repository is available on Github under NREL Software Record SWR-24-119.

Tags: cloud-cover, forecasting, irradiance, short-term-forecasting, sky-camera, sky-image
Organization: Department of Energy
Distributed Solar Technoeconomic Agent Characteristics dSTAC

These data files summarize key techno-economic metrics used in the NREL dGen model for modeling adoption of distributed solar by representative residential commercial and industrial entities for each county in the continental United States. As described further below many of the metrics are derived as summaries of outputs from dGen. Specifically each county and sector in these file are summarized as a single agent that is the weighted average of 10 statistically-representative agents weighed by the statistical frequency. The dGen simulation used to derive this dataset was conducted in 2018 using the NREL 2018 Standard Scenario Mid Case assumptions.

Tags: agent-based-modeling, capacity-factor, distributed-solar-pv, roof
Organization: Department of Energy
Data Files for the 2021 Next-Generation National Household Travel Survey – Origin-Destination Data Addendum for the California Region

The California-based origin-destination data addendum to the 2021 Next-Generation National Household Travel Survey (NHTS) covered the state of California and 16 counties in surrounding states. Conducted for the California Department of Transportation, it provided additional information and spatial granularity about people’s movements to, from, and within the areas under study.&nbsp;Data were collected in two zones: the core area (census blocks in California) and the halo area (16 counties bordering California in Oregon, Nevada, and Arizona). All trips were assigned origin and destination zones, as well as a travel mode, purpose, and distance. Sociodemographic information related to age, income, and gender was also collected. Data records are available in two file types: a shapefile denoting the core and halo areas and a csv file in which each row is a unique combination of each origin-destination zone (excluding trips without a start or end point in California). Visit NREL’s Transportation Secure Data Center for more information about this travel survey.

Tags: california, transportation
Organization: Department of Energy
Thermal Cooling Water Datasets for Electric Sector Modeling

This spreadsheet contains data inputs associated with representations of water (i.e., use, supply, costs) for thermo-electric based production. Values in this spreadsheet have been used to support multiple transmission-related planning studies, using models such as Regional Energy Deployment System Model (ReEDS).&nbsp;More information about associated studies can be found in Miara et al., 2019 (DOI: 10.1021/acs.est.9b03037); Cohen et al., 2022 (DOI: 10.1016/j.apenergy.2022.119193); and Cohen et al., 2024 (DOI TBD). Within these transmission-related studies, the values present in this spreadsheet are assigned for simulation of both existing units as well as new capacity build-outs. A summary of worksheets' content as well as associated sources are captured below.

Tags: environmental-modeling, reeds, regional-energy-deployment-system-model, thermoelectric
Organization: Department of Energy
Reference Site Condition Datasets for Floating Wind Arrays in the United States

Floating offshore wind farm design is highly site-specific, requiring detailed information about the specific conditions of a project area for realistic design studies. Unfortunately, publicly available site condition data for potential floating offshore wind project sites in the United States is scarce. To support U.S. offshore wind research, we developed reference site condition datasets, including metocean and seabed information, for four potential floating wind project areas in the U.S.: Humboldt Bay, Morro Bay, the Gulf of Maine, and the Gulf of Mexico. These datasets were compiled using publicly available data.&nbsp;Our metocean analysis, covering wind, waves, and surface currents, utilized measurement data from 2000 to 2020. Sources included the National Renewable Energy Laboratory’s National Offshore Wind Dataset for wind data, National Data Buoy Center buoys for wave data, and the High Frequency Radar Network for surface currents. These data were integrated into hourly time series used to compute extreme return periods up to 500 years, monthly statistics, and joint probability clusters for fatigue analysis. Soil conditions were evaluated using the usSEABED database and bathymetry grids were interpolated from the NCEI Digital Elevation Model Global Mosaic.&nbsp;Further information on the datasets and how they were created can be found in:&nbsp;Biglu, Michael, Matthew Hall, Ericka Lozon, and Stein Housner. 2024. Reference Site Conditions for Floating Wind Arrays in the United States. Golden, CO: National Renewable Energy Laboratory. NREL/TP-5000-89897. https://www.nlr.gov/docs/fy24osti/89897.pdf&nbsp;The data are also available at: https://github.com/FloatingArrayDesign/SiteConditions&nbsp;The content of each dataset is as follows:&nbsp;_NOW23_wind.txt: Hourly NOW-23 wind data up to a height of 400 meter. _metocean_1hr.txt: Hourly time series including wind, wave, surface current and temperature data. _Summary.xlsx: Metocean data, including extreme values, joint probability distributions and monthly statistics. _usSEABED_soil.csv: Extract of the usSEABED database for this specific site. _bathymetry_200m.txt (and 500m, 1000m): Gridded seabed depth data.

Tags: floating-offshore-wind, gulf-of-maine, gulf-of-mexico, humboldt-bay, metocean-conditions, metocean-data, morro-bay, site-conditions, soil-conditions
Organization: Department of Energy
DEPRECATED - State Policies and Programs for Community Solar (2024 Q3 Update)

This data set is no longer current – The most current data and all historical data sets can be found at https://data.nlr.gov/submissions/249&nbsp;The purpose of this dataset is to summarize current community solar policies and low-income stipulations by state in the United States as of June 2024. The "State_Program" sheet summarizes the key policy details for each state.&nbsp;This list has been reviewed, but errors may exist, and the list may not be comprehensive. NREL invites input to update or add to the database. To submit updates, additions, or corrections please find contact information on the current data set page linked above.

Tags: community-solar, renewable-policy, solar, solar-policy
Organization: Department of Energy
Screening Tool for Equitable Adoption and Deployment of Solar (STEADy Solar)

The Screening Tool for Equitable Adoption and DeploYment of Solar (STEADy Solar) is a database and mapping tool designed to promoting clean energy investments for low-income communities across the United States. The tool indicates locations that may be eligible for the Investment Tax Credit bonus adders defined in the 2022 Inflation Reduction Act (IRA) and combines this information with demographics, social vulnerability, solar technical potential, solar economics (modeled net present value), and building counts by use-type. It can be used by states, municipalities, community-based organizations, developers, and researchers to identify sites where solar projects may be economical and where federal incentives may be available to support equitable adoption of solar.Specific values include:&nbsp;Areas eligible for the Energy Communities Tax Credit Bonus Program (including brownfield site counts)Areas eligible for the Low Income Communities Bonus Credit Program (including Tribal Lands, and covered affordable housing project counts)Areas categorized as disadvantaged by Justice40Commercial and Residential Solar economics characterized by the Net Present Value and Simple Payback PeriodTotal Population, Race, and EthnicityMedian Household Income, Poverty rate, Household TenureSocial VulnerabilityCount of buildings, developable rooftop solar capacity (in kWdc) and estimated annual generation potential (in kWh) on four building types: Government General Services, Government Emergency Response, Grade Schools, and Colleges/Universities.&nbsp;The linked report describes the STEADy dataset metadata and presents high level insights from the data. The downloadable and formatted excel dataset makes it easy for users to gain insights for their locations. Supporting .csv and shapefiles provide users with the full data to run their own analyses on equitable solar siting.

Tags: brownfield-properties, cejst, census-tract, commercial-solar, dgen, energy-communities-tax-credit-bonus, equitable-solar-adoption, geospatial, inflation-reduction-act, lmi-communities, low-income-communities-bonus-credit-program, multifamily-affordable-housing, national-structures-inventory, renewable-energy-potential-model, residential-solar, solar, solar-economics, solar-site-selection, steady, tribal-land
Organization: Department of Energy
U.S. Solar Photovoltaic System Cost Benchmark Q1 2018

NREL has been modeling U.S. photovoltaic PV system costs since 2009. The U.S. Solar Photovoltaic System CostBenchmark Q1 2018 report benchmarks costs of U.S. solar PV for residential commercial and utility-scale systems built in the first quarter of 2018 Q1 2018. THE methodology includes bottom-up accounting for all system and project-development costs incurred when installing residential commercial and utility-scale systems and it models the capital costs for such systems.

Tags: 2018, capital-cost, lcoe, pv-photovoltaic-solar-energy
Organization: Department of Energy
Municipal Court Districts (water areas included)

Boundaries of Municipal Court districts including portions under water.

All previously released versions of this data are available on the <a href="https://www.nyc.gov/content/planning/pages/resources/datasets/municipal-court">DCP Website: BYTES of the BIG APPLE</a>. Current version: 26a

Tags: boundaries, boundary, cscl, dcp, department-of-city-planning, districts, judges, judicial, law, lion, municipal-court-districts, new-york-city, nyc
Organization: City of New York
Socioeconomic Data for the Permian Basin

This dataset was compiled to support socioeconomic analyses of counties in the Permian Basin in Texas and New Mexico for the Permian Energy Development Lab (PEDL). The metrics in the dataset are organized into four categories: Socioeconomics, Health &amp; Wellbeing, Jobs &amp; Workforce, and Energy Infrastructure &amp; Potential. The metrics originated from previously published datasets, including SLOPE, LEAD, Rural Atlas, EJScreen, and Census data.

Tags: advanced-energy-planning, energy-justice, new-mexico, pedl, permian-basin, permian-energy-development-lab, socioeconomic-analysis, texas
Organization: Department of Energy
Organic Photovoltaic (OPV) Database

A database of quantum mechanical calculations on organic photovoltaic candidate molecules.&nbsp;Related Publications:&nbsp;Peter C. St. John, Caleb Phillips, Travis W. Kemper, A. Nolan Wilson, Michael F. Crowley, Mark R. Nimlos, Ross E. Larsen. (2018) Message-passing neural networks for high-throughput polymer screening arXiv:1807.10363

Tags: opv, organic-photovoltaic
Organization: Department of Energy
Peregrine HPC Energy Research

Complete power and performance metric data for 10,000 jobs randomly selected from two years of the Peregrine system’s operation (all jobs prior to October, 2015). Complete power and performance metric data for jobs run on the Peregrine system in April, 2015.&nbsp;Related Publications:&nbsp;Bruce Bugbee, Caleb Phillips, Kenny Gruchalla, Ryan Elmore, Avi Purkayastha. Exploring HPC Application Power Usage. Conference on Data Analysis (CoDA) 2016. March 2-4, 2016. Santa Fe, New Mexico.Ryan Elmore, Kenny Gruchalla, Caleb Phillips, Avi Purkayastha, Nick Wunder. An Analysis of Application Power and Schedule Composition in a High Performance Computing Environment. National Renewable Energy Laboratory. Technical Report. NREL/TP-2C00-65392. January, 2016. http://www.nlr.gov/docs/fy16osti/65392.pdf

Tags: hpc, node-usage, peregrine, power, processors
Organization: Department of Energy