AndreaBozzo/ceres-open-data-index huggingface dataset:
FCIC FY18 LT-baseline Feedstock Images

Set of images taken during pilot plant dilute-acid hydrolysis preatreatment reactor operation. Images were taken with a GoPro Hero 5 with rectilinear lens facing downwards on a weigh-belt instrument. Image period was every 30 seconds during operation.&nbsp;This image set is connected to a journal article titled "Real-Time Biomass Feedstock Particle Quality Detection Using Image Analysis and Machine Vision", http://dx.doi.org/10.1007/s13399-020-00904-w.

Tags: automated-image-analysis, biomass-feedstock, machine-vision
Organization: Department of Energy
TEAMER: Vertical Axies Hydrokinetic Turbine Data, Emrgy Inc. 2022, Post Access Submission

The data herein contains all data collected and used for the Performance Characterization Testing and Model Calibration of a Vertical Axis Hydrokinetic Turbine. The data includes performance data and durability data for the Hydrokinetic Turbine. The device performance data contains shaft RPM, turbine RPM, power output, flow velocity, pressure, and pressure drop across the turbine. The mechanical durability data includes stress and strain at varied depths and velocities. There is also an FEA analysis included. This TEAMER RFTS 4 (request for technical support) project was awarded to Emrgy, Inc.in collaboration with Alden Research Laboratory LLC.

Tags: calibration, cec, cfd, cross-flow, crossflow, crossflow-turbine, current-energy-converter, emrgy, emrgy-inc, energy, fea, flume, hydrokinetic, marine, mhk, model, numerical-model, performance, performance-test, power, rfts-4, teamer, test, turbine
Organization: Department of Energy
TEAMER: Mass of Water Turbine Current Energy Converter CFD Results

The CFD (computational fluid dynamics) results for the Mass of Water Turbine (MOWT) current energy converter from MWNW Consulting (formerly Ecosse IP).  Each case is self-contained in its own tar.gz archive file. The archive contains the scripts required to perform a full simulation using OpenFOAM v1906. The scripts to process the output and plot forces are included in "Plotting Scripts", and all computational meshes generated are included in "Computational Grids".

Project is part of the TEAMER RFTS 2 (request for technical support) program.

Tags: belt, belt-drive, cec, cfd, computational-fluid-dynamics, current-energy-converter, energy, marine, mass-of-water-turbine, model, mowt, openfoam, paddle, paddle-belt, rfts-2, simulation, teamer
Organization: Department of Energy
Utah FORGE: Seismic Reflection Data

This is 2D and 3D seismic reflection data from Utah FORGE reprocessed during Phase 2c. The readme file containing an explanation of the data including data formats, software that can be used, processing, and projection and datum used. The Reprocessing document gives the rationale for reprocessing and shows examples of the improvements that were obtained.  For all 3D and 2D data the following datasets were created and output in SEG-Y format:
 - Unmigrated Time
 - Prestack Time Migration (PSTM), Unenhanced (UnEnh) and Enhanced (Enh)
 - Prestack Depth Migration (PSDM), Unenhanced (UnEnh) and Enhanced (Enh)
 - Velocity Model used for Migration

Tags: 2d-seismic, 3d-seismic, 3d-seismic-reflection, acoustics, attributes, depth-migration, egs, energy, enhanced, forge, geophysical-survey, geophysics, geothermal, imaging, interperted, legacy, migration, milford, model, phase-2c, prestack, processed-data, psdm, pstm, raw-data, reflection, reflection-data, roosevelt-hot-springs, seg-y, seismic, seismic-data, seismic-profiles, subsurface, time-migration, unenhanced, unmigrated, utah, utah-forge, utah-geothermal, velocity, velocity-model, vibroseis
Organization: Department of Energy
Solar Technology Acceleration Center (SolarTAC): Solar Resource & Meteorological Assessment Project (SOLRMAP)

Located in Colorado, near Denver International Airport, Solar Technology Acceleration Center (SolarTAC) is a private, member-based, 74-acre outdoor facility where the solar industry tests, validates, and demonstrates advanced solar technologies. SolarTAC was launched in 2008 by a public-private consortium, including Midwest Research Institute (MRI). As a supporting member of SolarTAC, the U.S. Department of Energy National Renewable Energy Laboratory (NREL) has established a high quality solar and meteorological measurement station at this location. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar powered projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

Tags: aurora, calibration, co, meteorological, re, renewable, resource-assessment, solar, solartac, solrmap, us
Organization: Department of Energy
BLM OR Wild and Scenic Rivers Corridor Line Hub

WSRCORR_ARC: This data is the line representation of the boundaries of designated Wild and Scenic River Corridors under BLM management within the boundaries of Oregon and Washington. The National Wild and Scenic Rivers System was created by Congress in 1968 to preserve certain rivers with outstanding natural, cultural, and recreational values in a free-flowing condition. For more information about the WSR Act, river classification, management, and links to related sites go to http://www.rivers.gov/rivers/. For a complete description of this data contact the BLM Oregon Data Steward for a copy of "Wild and Scenic River Spatial Data Standard."

Tags: geospatial, hydrology, inlandwaters, management, oregon, pacific-northwest, recreation, wild-and-scenic-rivers, wsr
Organization: Department of the Interior
PV Inverter Experimental Data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used controllable AC supply and controllable DC supply to emulate AC and DC side characteristics. The experiments were performed at NREL's Energy Systems Integration Facility. Due to the limitations of the DC supply used, inverter is tested under 75%, 50%, 25% load conditions (This dataset does not contain 100% load condition). In the first dataset, for each operating condition, controllable AC source voltage is varied from 0.88 to 1.09 per unit (p.u) with a step value of 0.025 p.u while keeping the frequency at 60 Hz. In the second dataset, under similar load conditions (75%, 50%, 25% ), the frequency of the controllable AC source voltage was varied from 59.4 Hz to 60.45 Hz with a step value of 0.2 Hz. Voltage and frequency range is chosen based on inverter protection. Voltages and currents on DC and AC side are included in the dataset.

Tags: artificial-intelligence, data-analysis, data-visualizations, database-for-artificial-intelligence-training, database-for-inverter-characterization, database-for-model-validation, machine-learning, pv-inverter, pytorch, reinforcement-learning, scikit-learn, tensorflow
Organization: Department of Energy
Land and Water Fund Encumbrances in Detroit, 2016

Data originated in the GIS Support Unit of the Department of Natural Resources Forest Resources Division, Lansing Office. The Land and Water Conservation Fund uses revenues from the depletion of offshore oil and gas to support the conservation of natural areas, water resources, and recreation opportunities.<div><br /></div><div>Information on the data is <a href='http://www.datadrivendetroit.org/metadata/Metadata_LWCF_encumbrances_Detroit_2016.xlsx' target='_blank'>available here</a>.</div>

Tags: detroit, development, environment, land, natural-resources, recreation, urban, water
Organization: City of Ferndale, Michigan
Harpers Ferry National Historical Park Tract and Boundary Data

These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

Tags: boundaries, boundary, hafe, harpers-ferry-national-historical-park, land-status-ownership, lrdcab, maryland, national-capital-region, national-park-service, ownership, parcels, planning-cadastre, tracts, united-states, virginia, west-virginia
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Organ Pipe Cactus National Monument

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

From 2017 to 2020, the Sonoran Desert Network conducted a vegetation mapping and characterization project at Organ Pipe Cactus National Monument (ORPI) to update the 1981 vegetation map (Warren et al. 1981). This work, which is part of the National Park Service (NPS) Vegetation Mapping Inventory Program, aimed to provide park managers with a digital vegetation map meeting national standards for spatial and thematic accuracy and supporting regional and national comparisons.
The 1981 map, which described 29 vegetation community types using the Brown, Lowe, and Pase classification system (Brown et al. 1979), served as a baseline for the update. Using fine-scale (30 cm) aerial imagery from ca. 2008, modern mapping methods, and new relevé plot data, vegetation communities were reclassified under the United States National Vegetation Classification System (USNVCS) at the association level. Map unit boundaries were aligned with the adjacent Cabeza Prieta National Wildlife Refuge (CPNWR) vegetation map boundaries where applicable and possible. The study area covers approximately 347,058 hectares (857,600 ac) of ORPI.
Field surveys occurred primarily in winter 2017 and spring 2018, with two additional sampling rounds in spring 2019 and fall 2020 targeting under-sampled areas. Crews collected 323 classification plots and 1,065 photo points, resulting in the identification or update of 34 vegetation types at the USNVC association level.

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
TP84227_FS83049_ECData

The data set represents the data used for the analysis of embodied carbon emissions for a carbon case study of a typical production builder's home in two common climate zones, Climate Zone 2 (Warm) and CZ 5 (Cold).  A data set for operational carbon emissions analysis for the same project is in a separate workbook.

Tags: carbon-analysis, embodied-carbon, new-construction
Organization: Department of Energy
BLM OR Wild and Scenic River Corridor Polygon Hub

wsrcorr_poly: This layer is the polygon representation of the Wild and Scenic River Corridors on BLM managed lands within Oregon. The National Wild and Scenic Rivers System was created by Congress in 1968 to preserve certain rivers with outstanding natural, cultural, and recreational values in a free-flowing condition. For more information about the WSR Act, river classification, management, and links to related sites go to http://www.rivers.gov/rivers/.

Tags: corridor, geospatial, hydrology, inlandwaters, management, oregon, pacific-northwest, recreation, wild-and-scenic-rivers, wsr, wsrcorr
Organization: Department of the Interior
TP84227_FS83049_OPData

The data set represents the data used for the analysis of operational carbon emissions for a carbon case study of a typical production builder's home in two common climate zones, Climate Zone 2 (Warm) and CZ 5 (Cold).   A data set for embodied carbon emissions analysis for the same project is in a separate workbook.

Tags: carbon-analysis, new-construction, operational-carbon
Organization: Department of Energy
NRC 823C

NRC Health Center Consent for 2009-2010 H1N1 Inactivated Influenza (Flu Shot). Fillable form in Adobe Portable Document Format (PDF) with information submitted by NRC stakeholder - licensee, applicant, or NRC employee/contractor.

Tags: accession-number, adams-accession-number, adams-ml-number, fillable-form
Organization: Nuclear Regulatory Commission
Efficiency and Demand Flexibility in Large Office Buildings

Data is associated with Report "Efficiency and Demand Flexibility in Large Office Buildings" by Joyce McLaren, Thomas Bowen, and Chioke Harris (https://doi.org/10.2172/1989231). Results are created from repos GEB_ECM_Impact_Estimator (https://github.nrel.gov/tbowen/GEB_ECM_Impact_Estimator). Results outline the changes in building load in large office buildings based on measures from NREL's Scout, and the impacts those changes in load have on grid-induced emissions, grid operating costs, and customer bills.

Tags: cambium, cost-of-electricity, customer-bills, emissions, grid-interactive-efficient-buildings, marginal-emissions, scout
Organization: Department of Energy
FHWA Federal Lands Highway Division Offices

The FHWA Federal Lands Highway Division Offices dataset is as of July 17, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset shows the geographic location for each of the FHWA Federal Lands Highway Division Office. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529300

Tags: atlas, database, division office, federal lands, federal lands highway division office, fhwa, national, national transportation atlas database, ntad, office, office locations, point, transportation, usa, vector
Organization: Department of Transportation
FHWA Federal Lands Highway Divisions

The FHWA Federal Lands Highway Divisions dataset is as of July 17, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset depicts the areas covered by the three FHWA Federal Lands Highway Division Offices. Each field division office is focused on the Federal Lands in their regions. More information on the FHWA Federal Lands Highway Division Offices, and territories each covers, can be found at https://highways.dot.gov/about/field-offices. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529299

Tags: atlas, database, division, division office, divisions, federal lands, federal lands highway division office, fhwa, national, national transportation atlas database, ntad, polygon, transportation, usa, vector
Organization: Department of Transportation
Community Solar Resource Database

NREL has updated a database of publicly available resources related to community solar in the U.S., including journal articles, reports, fact sheets, slides, videos, datasets, webinars, and other formats. This effort aims to compile resources that would benefit all partners interested in investigating the market status, data analysis, regulation, stakeholder engagement, and the best practices of community solar development.

Tags: community-solar, distributed-solar-pv
Organization: Department of Energy
FHWA Federal-Aid Division Offices

The FHWA Federal-Aid Division Offices dataset is as of February 05, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset shows the geographic location for each FHWA Federal-Aid Division Office. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529302

Tags: atlas, database, division office, federal-aid, federal-aid division office, fhwa, national, national transportation atlas database, ntad, office, office locations, point, transportation, usa, vector
Organization: Department of Transportation
V-safe RSV for Adults

Users of the V-safe data are required to adhere to the following standards for the analysis and reporting of research data. All research results must be presented and/or published in a manner that protects the confidentiality of participants. V-safe data will not be presented and/or published in any way in which an individual can be identified. Therefore, users will:<ol>
<li>Not attempt to link or permit others to link the data with individually identified records in another database.
<li>Not attempt to learn the identity of any participant in the data and will not deliberately combine these data with other CDC or non-CDC data for the purpose of matching records to identify individuals. If you should inadvertently discover the identity of any participant, you will ensure the identity of any participant is kept confidential, and will not be used in any publications and/or presentations.
<li>Not imply or state, either in written or oral form, that interpretations based on analysis of the data reflect official CDC policies or positions.
<li>Understand that sub-national analyses are not appropriate for this national sample and will not be conducted. 
<li>Understand that V-safe is a voluntary self-enrollment program requiring smartphone access; therefore, information from V-safe might not be representative or generalizable to the US population.</li></ol>
By clicking on the weblink below to download and use these V-safe data, you signify your agreement to comply with the above-stated terms.

V-safe is a voluntary U.S. active safety surveillance system established by CDC to characterize local and systemic side effects of new vaccines administered after U.S. authorization or licensure. V-safe participants are not a random sample of all vaccinated persons in the United States and data might not be generalizable to the full U.S. vaccinated population. Participants may have been more likely to complete surveys if experiencing symptoms post-vaccination. All V-safe measures are self-reported, therefore there may be some misclassification of outcomes, vaccine-related information, or demographics.

For participants who requested corrections (i.e. vaccination date or vaccine manufacturer) to their vaccination record, data may be missing or incorrect for one or more doses. Requested corrections were applied to ‘Enrollment’ and ‘Vaccination’ files. The old vaccination records are located in the ‘Vaccination (Old Records)’ file while the corrected vaccine records are in the ‘Vaccination’ file. Mobile outages or technical malfunctions may have caused a small number of missing surveys or collection of incorrect survey type. Occasional system outages and attrition over time also contribute to incomplete reporting. 

V-safe RSV for Adults public data includes enrollment, vaccination information, and daily and weekly surveys collected from 10/20/2023 to 3/23/2025. Corresponding V-safe Registration public data (de-identified demographic data) can be downloaded at data.cdc.gov. Please review the V-safe data user agreement before analyzing any V-safe data.

Tags: v-safe, vaccine-safety
Organization: U.S. Department of Health & Human Services
V-safe Registration

Users of the V-safe data are required to adhere to the following standards for the analysis and reporting of research data. All research results must be presented and/or published in a manner that protects the confidentiality of participants. V-safe data will not be presented and/or published in any way in which an individual can be identified. Therefore, users will:
<ol>
<li>Not attempt to link or permit others to link the data with individually identified records in another database.</li>
<li>Not attempt to learn the identity of any participant in the data and will not deliberately combine these data with other CDC or non-CDC data for the purpose of matching records to identify individuals. If you should inadvertently discover the identity of any participant, you will ensure the identity of any participant is kept confidential, and will not be used in any publications and/or presentations.</li>
<li>Not imply or state, either in written or oral form, that interpretations based on analysis of the data reflect official CDC policies or positions.</li>
<li>Understand that sub-national analyses are not appropriate for this national sample and will not be conducted. </li>
<li>Understand that V-safe is a voluntary self-enrollment program requiring smartphone access; therefore, information from V-safe might not be representative or generalizable to the US population.</li></ol>
By clicking on the weblink below to download and use these V-safe data, you signify your agreement to comply with the above-stated terms.

V-safe is a voluntary U.S. active safety surveillance system established by CDC to characterize local and systemic side effects of new vaccines administered after U.S. authorization or licensure. V-safe participants are not a random sample of all vaccinated persons in the United States and data might not be generalizable to the full U.S. vaccinated population. Participants may have been more likely to complete surveys if experiencing symptoms post-vaccination. All V-safe measures are self-reported, therefore there may be some misclassification of outcomes, vaccine-related information, or demographics.

Occasional system outages and attrition over time may contribute to incomplete reporting. 

V-safe Registration public data includes de-identified demographic data for all participants that registered to V-safe from 10/20/2023 to 3/23/2025.  Corresponding protocol data (RSV for Adults, RSV for Pregnant Women, and COVID-19) can be downloaded at data.cdc.gov.  Please review the V-safe data user agreement before analyzing any V-safe data.

Tags: v-safe, vaccine-safety
Organization: U.S. Department of Health & Human Services