AndreaBozzo/ceres-open-data-index huggingface dataset:
TEAMER: Tidal Energy Resource Characterization and Model Validation via the Assessment of Distributed Current Measurements from microFloat Swarms, Data and Post-Access Report

This project evaluated how high-resolution, spatially distributed field data can be used to refine and validate site-scale hydrodynamic simulations of tidal channels. Use of such spatially-distributed field observations or site-scale hydrodynamic simulations will be needed for producing accurate predictions of tidal energy production over larger arrays of tidal turbines. 

The data contained in this archive includes field observations of water velocity from a series of short surveys in Agate Pass taken on August 20th, 2020 using  station-keeping ADCP (acoustic doppler current profiler) measurements, drifting downward-looking ADCPs, and microFloats, gathered by researchers at APL-UW under a previous project. It also includes high-resolution hydrodynamic model runs for the site during that time generated under TEAMER RFTS 4 (request for technical support) support. 

An explanatory file (.pdf format) describes the survey and field data structure. Processed data is stored in .mat format.

Survey summary: start time, number of floats, water level.

microFloat data: 
- Cleaned data for each float in survey, 
- Time series of position (lat., lon.), depth (relative to surface), and horizontal velocity (u, v)

Drifting ADCP data:
- Cleaned data for each drifting ADCP in survey
- Time series of position (lat., lon.), sample depth (relative to surface), and observed water velocity (u,v,w)

Stationary ADCP data:
- Cleaned data for each station-keeping data set in survey
- Time series of position (lat., lon.), sample depth (relative to surface), and observed water velocity (u,v,w)

FVCOM (Finite Volume Coastal Ocean Model) model outputs:	
Water level and velocity, as well as derived variables (e.g., power density) from the final refined model simulations for the Agate Pass subdomain. Contained in NetCDF and ASCII files for the duration of August 18th and 20th 2020 field surveys. 

Additional scripts for processing the data and generating the figures in the report are included. 

Tags: acoustic-doppler-current-profiler, adcp, agate-pass, characterization, code, energy, environment, marine, marine-energy-resource-assessment-and-characterization, matlab, microfloat, power, processed-data, puget-sound, resource, rfts-4, teamer, testing-expertise-and-access-for-marine-energy-research, tidal, tidal-velocity, washington
Organization: Department of Energy
COVID Support Services

In January 2021, GSA’s Federal Acquisition Service (FAS) was asked to support the Department of Health and Human Services’ Center for Disease Control (CDC) to assist federal, state and local agencies to quickly procure COVID-19 related support services (CRSS) should they be needed as part of the nation’s COVID-19 response.

Tags: contract, contractor, covid, naics, sin, support-services, tribal-entities
Organization: General Services Administration
TEAMER: Wave and Current Energy Converter Modeling Workshop Materials

This dataset contains the full set of training materials used in a marine hydrokinetic (MHK) modeling workshop conducted by Sandia National Laboratories for the University of Alaska Fairbanks, funded through the U.S. Department of Energy's TEAMER program. The workshop focused on the use of the SNL-Delft3D-CEC and SNL-SWAN modeling tools, which simulate the hydrodynamic and environmental impacts of current and wave energy converters, respectively. The materials were developed to support the evaluation of physical and environmental interactions of MHK devices using open-source modeling frameworks.

The dataset includes presentations, tutorials, theoretical documentation, and software setup instructions related to modeling wave and current energy devices. It covers both conceptual and real-world applications, such as channel flow and riverine or coastal sites like the Tanana River and Yakutat, Alaska. Instructions for installing and customizing the Delft3D and SWAN modeling suites with the SNL-developed modules are included, along with test cases and example scenarios. All data units and modeling parameters are labeled, and the dataset assumes access to proprietary software components (e.g., Deltares license files for Delft3D FM Suite) and some familiarity with hydrodynamic modeling tools.

Tags: cec, coastal-hydrodynamics, current-energy-converter, delft3d, energy, hydrodynamic-modeling, hydrokinetic, instructions, marine, mhk, mhk-training, model-installation, model-tutorial, modeling, models, numerical-modeling, open-source, power, sandia-national-laboratories, simulation, snl-delft3d-cec, snl-swan, swan, teamer, turbine-array-modeling, tutorial, wave-energy-converter, wave-modeling, wec
Organization: Department of Energy
Photovoltaic Module Current-Voltage and Electroluminescence Image Data (PV-IV-EL)

This dataset consists of 613 sets of corresponding current-voltage trace (IV) flash test data and electroluminescence (EL) image data for commercial PV modules from the Photovoltaic Systems Evaluation Laboratory at Sandia National Laboratories. PV modules are from fielded systems in Albuquerque, New Mexico, USA. Measurements of corresponding IV and EL data were taken over a 6 year period, with modules removed from the field and measured in the laboratory at 0 to 5 years of outdoor exposure. The 438 unique modules comprise 28 unique module models from 17 different brands, which are anonymized in the metadata. Additional metadata include current-voltage and electroluminescence acquisition parameters, and length of outdoor exposure.

For more metadata information see the AnonDB.csv file, which contains metadata for each module in the dataset, and provides information on each of the IV and EL measurements. Descriptions of each column in the AnonDB.csv file are listed under the "AnonDB Descriptions" resource linked below.

This project was funded under award "PV Proving Grounds" numbers 38268 and 52787.

Tags: albuquerque, current-voltage, data, el, electroluminescence, energy, image, iv, new-mexico, photovoltaics, power, pv, raw-data, sandia, solar, solar-power
Organization: Department of Energy
Growth metrics and bleaching indicators of coral and sediment-influenced water quality parameters - Data set

This data set includes metrics of growth pertaining to Atlantic corals (Montastraea cavernosa and Stephanocoenia intersepta) exposed to fine-grained, sediment. Data also include bleaching indicators and measurements of sediment-influenced water quality. 

This dataset is associated with the following publication:
Hankins, C., D. White, K. Bahr, Y. Jones, A. Glahn, W. Lehmann, and B. Fisher. Effects of Dredging Induced Resuspension of Fine-Grain Sediment on Two Scleractinian Corals, Montastraea cavernosa and Stephanocoenia intersepta.   Journal of Coastal Zone Management. Walsh Medical Media, London,  UK, 27(6): 1000650, (2025).

Tags: dredging, photosysthetically-active-radiation, suspended-solids, turbidity
Organization: U.S. Environmental Protection Agency
Molecular detection of Coccidioides sp. spores in arid soils and UAS-enabled bioaerosol collection in the San Joaquin Valley, 2024

The goal of this study is to determine if there is an association between aerosolized particulate matter (PM) density, wind speed, temperature, humidity, soil-specific parameters, or other site-specific conditions and Coccidioides detection to better understand fungal spore dispersal within the San Joaquin Valley, CA. Soil and filter samples were concurrently collected using an uncrewed aircraft system (UAS) equipped with bioaerosol samplers flown synchronously at multiple heights. Samples were assessed for the presence of Coccidioides spores per the cocciENV assay (Bowers et al, 2019). Collection sites included Bakersfield, CA and surrounding Kern County (39 total), with 767 samples collected using an interrupted radial transect design.

Tags: climate-change, coccidioides, disease, valley-fever
Organization: U.S. Environmental Protection Agency
Dataset associated with Sustainable and Resilient Solid Waste Infrastructure Study conducted for Davenport, Iowa

This dataset includes outputs from MSW DST model to generate alternative waste management scenarios for Davenport IA. 

This dataset is associated with the following publication:
Kaplanakman, P., K. Weitz, and S. Thorneloe-Howard. Sustainable and Resilient Solid Waste Infrastructure: Davenport, Iowa Case Study. U.S. Environmental Protection Agency, Washington, DC, USA, 2023.

Tags: air-pollution, climate-change, food-waste, resilience, waste-management
Organization: U.S. Environmental Protection Agency
Enhancing Hydrological Modeling of Ungauged Watersheds through Machine Learning and Physical Similarity-based Regionalization of Calibration Parameters

The study results and data used and produced in this study are available through the Texas Data Repository at https://doi.org/10.18738/T8/A9X5ET (Srinivasan et al., 2023). The data also includes the necessary information to reproduce the figures and tables presented in the study. 

This dataset is associated with the following publication:
Bawa, A., K. Mendoza, R. Srinivasan, F. O'Donncha, D. Smith, K. Wolfe, R. Parmar, J. Johnston, and J. Corona. Enhancing Hydrological Modeling of Ungauged Watersheds through Machine Learning and Physical Similarity-based Regionalization of Calibration Parameters.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   186: 106335, (2025).

Tags: ai, calibration, hawqs, pub, streamflow, swat
Organization: U.S. Environmental Protection Agency
Salivary biomarkers of immune and neuroendocrine functions, demographic and behavioral data

This SAS dataset contains data on salivary concentrations of selected immune and neuroendocrine biomarkers, as well as socioeconomic and demographic data, self-reported health data, and behavioral data. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This dataset is available upon request. Eligible researchers can contact study investigators Andrey Egorov (egorov.andrey@epa.gov) or Michael Nye (nye.michale@epa.gov). Format: This dataset contains demographic, socioeconomic, behavioral and stress data on residents of two communities in Denver, CO, as well as data on biomarker levels in saliva. 

This dataset is associated with the following publication:
Egorov, A., W. Xue, J. Kobylanski, M. Fuzawa, S. Griffin, T. Wade, and M. Nye. Pilot application of an inflammation and physiological dysregulation index based on noninvasive salivary biomarkers.   BMC Research Notes. BioMed Central Ltd, London,  UK, 18: 53, (2025).

Tags: cumulative-risk, health-effects, human-health
Organization: U.S. Environmental Protection Agency
CherryResearchStationFertilizationNH3Flux_20240715-20240718_3

This data set represents quantified emissions of NH3 following application of urea-based fertilizer to bare agricultural soil in the Coastal Plain region of North Carolina (NC Department of Agriculture, Cherry Research Station).

Tags: agricultural-emission, air-quality, ammonia-air-surface-exchange, nitrogenous-fertilizer
Organization: U.S. Environmental Protection Agency
cleaned_emf_data_us

The database contains scenarios that were submitted for EMF 37 Deep Decarbonization Study. The data is presented for U.S. scenarios that reach net-zero emissions across the economy by midcentury. The tables and figures in the manuscript utilizes this dataset. 

This dataset is associated with the following publication:
Kaplanakman, O., G. Boyd, M. Browning, K. Perl, S. Supekar, N. Victor, and E. Worrell. Is the Industrial Sector Hard to Decarbonize or Hard to Model? A comparative analysis of Industrial Modeling and Net Zero Carbon Dioxide Pathways.   Energy and Climate Change. Elsevier B.V., Amsterdam,  NETHERLANDS, 6: 100190, (2025).

Tags: carbon-dioxide, climate-change, decarbonization, industrial-emissions, net-zero
Organization: U.S. Environmental Protection Agency
[Historical] Campaign Consultants Filings

<strong>A. SUMMARY</strong>
This is a historical record of campaign consultant filings. Filings since December 2024 can be found in the <a href="https://data.sfgov.org/d/iv34-5p9x">SFEC Campaign Consultant Report</a> dataset.

<strong>B. HOW THE DATASET IS CREATED</strong>
This is historical data.

<strong>C. UPDATE PROCESS</strong>
No updates will occur.

<strong>D. HOW TO USE THIS DATASET</strong>
This dataset contains a historic record of filings.  Campaign Consultant filings were submitted on paper, and the data within the filings was manually entered into the following related datasets:
<ul>
    <li><a href="https://data.sfgov.org/d/wchi-36a5">List of Registered Campaign Consultants and their Respective Clients</a></li>
    <li><a href="https://data.sfgov.org/d/8n8d-ry79">Campaign Consultants and Employees</a></li>
    <li><a href="https://data.sfgov.org/d/tc9q-72uj">Client Payments</a></li>
    <li><a href="https://data.sfgov.org/d/tv94-tvke">Political Contributions</a></li>
    <li><a href="https://data.sfgov.org/d/ewuz-v3y2">Vendor Payments</a></li>
    <li><a href="https://data.sfgov.org/d/tgmn-chny">Appointment to Public Office</a></li>
    <li><a href="https://data.sfgov.org/d/myxh-kx93">Employment of Local Officeholders and City Employees</a></li>
</ul>

New Campaign Consultant filings are e-filed, and can be found on the <a href="https://data.sfgov.org/d/iv34-5p9x">SFEC Campaign Consultant Report</a> dataset.

For more information on the Campaign Consultant program, refer to the SF Ethics Commission website pages on <a href="https://sfethics.org/guidance/campaign-consultants">reporting</a> and <a href="https://sfethics.org/disclosures/campaign-consultant-disclosure">disclosures</a>.

Organization: City of San Francisco
Taxi Trips

<strong>A. SUMMARY</strong>
This dataset contains information on taxi trips including pickup location, destination, and fare. Additional fields have been integrated to the raw data through automated and manual procedures to facilitate easier data analysis. Those fields are indicated in the column metadata.

<strong>B. HOW THE DATASET IS CREATED</strong>
As required by the Transportation Code, all taxi companies permitted to operate in the City and County of San Francisco transmit digital records of their fleet’s activity to SFMTA in real time through the SFMTA Taxi Application Programming Interface (API).

<strong>C. UPDATE PROCESS</strong>
This dataset will be updated monthly with new taxi trip information.

<strong>D. HOW TO USE THIS DATASET</strong>
This dataset is useful for tracking average daily taxi trip counts and monitoring the impact of the Taxi Upfront Pricing Pilot program on driver income.

<strong>E. RELATED DATASETS</strong>
<li> <u><a href="https://data.sfgov.org/Transportation/Taxi-Medallion-Holders/yw7x-gh5g/about_data">Taxi Medallion Holders</a></u>

Organization: City of San Francisco
Chicago Park District: Movies in the Parks 2018

List of all Movies in the Parks events. This list is a one-time upload and cancellations will not be updated. Please visit the Chicago Park District website or call the Movies in the Parks hotline at 312-742-1134 to check for cancellations due to weather.  All movie screenings begin at dusk. Estimate 8:30 from June-July 15, 8:15 from July 15 - August 15 and 8:00 after August 15.

Tags: chicago-park-district, events, movies, parks, parks-recreation
Organization: City of Chicago
NYC Drinking Water Tank Inspections and Audits Compliance Results

This is an official NYC Health Department dataset. The Health Department does not endorse datasets using these data that may be created by others. The dataset contains the drinking water tank oversight activity and compliance results for NYC  buildings that have water tanks. The buildings listed have been reported to the NYC Health Department through the <a href="https://www.nyc.gov/site/doh/business/permits-and-licenses/drinking-water-tank-inspection-reporting.page" target=”_blank” rel=“noopener noreferrer”>NYC Drinking Water Tank Inspection Reporting Site </a> or were identified  by the NYC Health Department during field observations. This dataset includes self-reported annual inspections (submitted by a certified water tank inspector on behalf of the building owner), NYC Health Department inspections, NYC Health Department audits, and other drinking water tank regulatory activity results.

Tags: audit, drinking-water, inspection, violation, water-tank
Organization: City of New York
MD iMAP: Maryland Archived Submerged Aquatic Vegetation 2007

This is a MD iMAP hosted service. Find more information on http://imap.maryland.gov. The 2007 Chesapeake Bay SAV Coverage was mapped from 1:24 - 000 black and white aerial photography to access water quality in the Bay. Each area of SAV was interpreted from the rectified photography and classified into one of four density classes by the percentage of cover. The SAV beds were entered into an ArcInfo GIS coverage using quality control procedures.   Map Service Link:  http://archive.geodata.md.gov/imap/rest/services/ Biota/MD_ArchivedSubmergedAquaticVegetation/MapServer/6 ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

Tags: aquatics, biot, biota, dnr, dynamic, kml, maryland, maryland-department-of-natural-resources, md, md-imap, natural-resources, sav, submerged, vector, vegetation, wfs, wms
Organization: State of Maryland
MD iMAP: 2002 US Congressional Districts

This is a MD iMAP hosted service.   Find more information at http://imap.maryland.gov. This is a map service of archived political districts in the state of Maryland. 2002 districts are depicted. The Maryland Department of Planning (MDP) is the repository of Congressional and Legislative districts as well as historical reapportionment and redistricting maps and data. MDP is Maryland's designated State Agency coordinator for the Census Redistricting Data Program with the U.S. Bureau of the Census. Map Service Link: https://archive.geodata.md.gov/imap/rest/services/ Boundaries/MD_ArchivedElectionBoundaries/MapServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

Tags: 2002, congress, congressional-districts, dynamic, house-of-representatives, legislature, maryland, md-imap, mdp, redistricting, vector, wfs, wms
Organization: State of Maryland
MD iMAP: Maryland Archived American Community Survey Zip Code Tabulation Areas 2009 to 2013

This is a MD iMAP hosted service. Find more information on http://imap.maryland.gov. The American Community Survey (ACS) is a nationwide -  continuous survey designed to provide communities with reliable and timely demographic -  housing -  social and economic data. The ACS replaces the decennial census long form in 2010 and every year thereafter. The annual ACS sample is smaller than that of previous long form surveys resulting in a larger sampling error. Coefficients of Variation (CVs) -  which are statistical measures that show the relative amount of sampling error associated with an estimate -  are presented here as a measure of reliability and usability of the data. The unit of geography used for the 2009 - 2013 data is the ZIP Code Tabulation Area (ZCTA). ZCTAs are statistical geographic areas produced by the Census Bureau by aggregating census blocks to create generalized areas closely resembling the U.S. Postal Service's postal ZIP codes. Map Service Link:   http://archive.geodata.md.gov/imap/rest/services/ Demographics/MD_ArchivedAmericanCommunitySurvey/MapServer/3 ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

Tags: 2008-2012, 2009-2013, acs, american-community-survey, census-tracts, demo, demographics, kml, maryland, md-imap, mdp, wfs, wms, zcta, zip-code-tabulation-areas
Organization: State of Maryland
Federal Hiring Assessments and Selection Outcome Dataset

An Excel export of combined USA Staffing, Monster, Aviator (FAA) Hiring Assessment and Selection Outcome Data from the 24 CFO Act agencies.  We believe this data will empower Chief Human Capital Officers and Human Resources staff with the right data to focus on improved hiring outcomes while complying with open data requirements to increase transparency to the millions of applicants who apply for federal positions each year on USAJOBS.

Tags: announcement, application, assessment, hiring, monster, omb, opm, selection, usds
Organization: General Services Administration