AndreaBozzo/ceres-open-data-index huggingface dataset:
V-safe RSV for Pregnant Women

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.

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 Pregnant Women public data includes enrollment, vaccination information, and daily and weekly surveys collected from 11/28/2023 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
Derivation and characterization of environmental hazard concentrations for chemical prioritization: a case study in the Great Lakes tributaries

Supplementary data for "Derivation and characterization of environmental hazard concentrations for chemical prioritization: a case study in the Great Lakes tributaries". 

This dataset is associated with the following publication:
Maloney, E., S. Corsi, M. Pronschinske, L. DeCicco, M. Nott, J. Frisch, N. Fuller, A. Baldwin, K. Kimbrough, M. Edwards, S. Hummel, N. Vinas, and D. Villeneuve. Derivation and characterization of environmental hazard concentrations for chemical prioritization: a case study in the Great Lakes tributaries.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 44(7): 2029-2047, (2025).

Tags: ecotoxicity, environmental-fate, environmental-monitoring, new-approach-methodologies, risk-assessment
Organization: U.S. Environmental Protection Agency
NREL 25-cm2 High-Pressure Low-Temperature Electrolysis Cell Hardware (Open Source)

This data resource describes an open-source cell hardware that enables low temperature electrolysis (LTE) testing at elevated pressures. Existing commercial options have several downsides when it comes to R&amp;D testing. They are often not designed for repeated reassembly, may not be able to accommodate porous transport layers with different thicknesses, and do not give state-of-the-art performance. Therefore, this hardware was developed specifically with LTE R&amp;D in mind and its design is being made available to the global LTE community. This work was planned and funded by the U.S. Department of Energy's H2NEW consortium (https://h2new.energy.gov/).&nbsp;The hardware design package (.zip file) details the drawings, auxiliary materials, and procedures required to fabricate, assemble, and operate the National Renewable Energy Laboratory's (NREL's) high-pressure low-temperature electrolysis cells. While the hardware itself—end plates, current collectors, flow fields, bolts and washers, tube fittings—is always the same, the assembly and operating procedures may change depending on the active materials being tested, especially for the membrane. Material-specific assembly and operating procedures will be posted to the H2NEW website as they are developed and validated.&nbsp;Disclaimer: The documents and drawings included in this download package describe a design for a low temperature electrolysis hardware that is intended to comply with leak testing according to ASME B31.1. Safe operation at ambient and elevated pressures is the sole responsibility of the end user, which should be evaluated on a case-by-case basis for each individual cell. Factors affecting the sealing capability may depend on, for example, machining quality, cell assembly components, operating conditions, and operating history. Operation at pressure should only be performed on qualified test stands by qualified operators. NREL/ALLIANCE FOR SUSTAINABLE ENERGY, LLC/DOE DISCLAIM ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING THE WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE, AND MAKES NO WARRANTY AS TO THE ACCURACY, COMPLETENESS, OR USEFULNESS OF ANY INFORMATION PROVIDED HEREIN. USE OF THIS PACKAGE IS AT THE USER’S OWN RISK.

Tags: h2new, high-pressure-low-temperature-electrolysis, hydrogen-production, research-cell-hardware, water-electrolysis
Organization: Department of Energy
Long-Run Marginal Emission Rates for Electricity - Workbooks for 2022 Cambium Data

These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States. A LRMER is an estimate of the rate of emissions that would be either induced or avoided by a change in electric demand, taking into account how the change could influence both the operation as well as the structure of the grid (i.e., the building and retiring of capital assets, such as generators and transmission lines). It is therefore distinct from the more-commonly-known short-run marginal, which treat grid assets as fixed. Long-run marginal emissions rates are generally appropriate to use when trying to comprehensively estimate the impact of a long-lived (i.e., more than several years) intervention.&nbsp;There are two workbooks that supply the data at two different geographic resolutions: states and GEA regions (20 regions that are similar to, but not exactly the same as, the US EPA's eGRID regions).&nbsp;For more data underlying these emissions factors, see the Cambium 2022 project at https://scenarioviewer.nlr.gov/. For more details on input assumptions and methodology see the associated report (Cambium 2022 Scenario Descriptions and Documentation, https://www.nlr.gov/docs/fy23osti/84916.pdf). This data is planned to be updated annually. Information on the latest versions can be found at https://www.nlr.gov/analysis/cambium.html.

Tags: cambium, electricity, greenhouse-gas-emissions, long-run-marginal, reeds
Organization: Department of Energy
Freight Analysis Framework

The Freight Analysis Framework (FAF) integrates data from a variety of sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. With data from the 2007 Commodity Flow Survey and additional sources, FAF version 3 (FAF3) provides estimates for tonnage, value, and domestic ton-miles by region of origin and destination, commodity type, and mode for 2007, the most recent year, and forecasts through 2040. Also included are state-to-state flows for these years plus 1997 and 2002, summary statistics, and flows by truck assigned to the highway network for 2007 and 2040.

Tags: commodity, consumption, domestic, economic-activity, energy, environment, export, exposure, flow, forecast, freight, import, infrastructure, risk, safety, ton-miles, tons, transportation, trend, trucks, value, wear
Organization: Department of Transportation
Congestion Mitigation and Air Quality (CMAQ)

All 50 states and the District of Columbia submit annual reports of their CMAQ project obligations in March of   every year. The FHWA uses these yearly submissions to maintain an active database of CMAQ investments, trends within the program, and other anecdotal information focusing on the program's performance. This   database of CMAQ Project information has always been reserved for internal use by authorized FHWA personnel for Congressional reporting and made available to state DOTs and MPOs on a limited basis.

Tags: air, area, congestion, environment, maintenance, metropolitan, mitigation, mpo, naaqs, non-attainment, nonattainment, nox, organization, planning, pm-10, pm-2-5, quality, voc
Organization: Department of Transportation
Coastal Mapping Program of  Port of Weedon Island/St. Petersburg, FL, FL2322B-CS-N

These data provide an accurate high-resolution shoreline compiled from imagery of  Port of Weedon Island/St. Petersburg, FL .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://inport.nmfs.noaa.gov/inport/item/39808

Tags: coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, florida, geographic cell, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, port of weedon island/st. petersburg, shoreline, shoreline mapping program, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Mapping Program of  Intracoastal Waterway, Western Bogue Sound to Bear Inlet, NC, NC1901D-TB-C

These data provide an accurate high-resolution shoreline compiled from imagery of  Intracoastal Waterway, Western Bogue Sound to Bear Inlet, NC .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://inport.nmfs.noaa.gov/inport/item/39808

Tags: coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, geographic cell, intracoastal waterway, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, north carolina, shoreline, shoreline mapping program, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Mapping Program of  Port of Anchorage, AK, AK2509-CS-N

These data provide an accurate high-resolution shoreline compiled from imagery of  Port of Anchorage, AK .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://inport.nmfs.noaa.gov/inport/item/39808

Tags: alaska, coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, geographic cell, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, port of anchorage, shoreline, shoreline mapping program, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Mapping Program of  Port of Grand Haven, MI, MI2406B-CS-N

These data provide an accurate high-resolution shoreline compiled from imagery of  Port of Grand Haven, MI .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://inport.nmfs.noaa.gov/inport/item/39808

Tags: coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, geographic cell, michigan, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, port of grand haven, shoreline, shoreline mapping program, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Fish assemblages in southern California kelp forests.

This is a point file of fish assemblages calculated from diver surveys in kelp forests in Southern California.   Visual census data was combined for two separate southern California datasets.  The Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) provided information collected at 15 sites, and Vantuna Research Group (VRG) at 29 sites.  Visual transect surveys were completed by SCUBA divers along the bottom of the kelp forest.  The VRG dataset provided fish counts along 2m x 60m transects which were subsequently averaged for comparison with the PISCO dataset. The PISCO dataset provided mean counts along a 2m x 30m transect which were doubled before combining with the VRG data.   Fish that were not present in at least 5% of the trawls were removed from this analysis, resulting in a site by species matrix of 44 sites and 45 species.  Site groups were calculated using the Bray-Curtis dissimilarity coefficient with average means clustering

Tags: animals/vertebrates, benthic, biological classification, biosphere, california, channel islands national marine sanctuary, cinms_assessment, community dynamics, community structure, continent, doc/noaa/nos/nccos, dynamic vegetation/ecosystem models, earth science, earth science services, ecological dynamics, ecosystem functions, ecosystems, environmental assessments, environmental governance/management, environmental monitoring, fish, geographic information, human dimensions, marine biology, marine ecosystems, models, national centers for coastal ocean science, national ocean service, noaa, north america, oceans, pelagic, polygons, southern california, species/population interactions, u.s. department of commerce, united states of america, use/feeding habitats
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Fish diversity in southern California using scuba surveys in kelp forests.

The Shannon Index of diversity was calculated from diver surveys on kelp beds in Southern California.  Kelp diver visual census data was combined for two separate southern California datasets. The Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) provided information collected at 15 sites, and Vantuna Research Group (VRG) at 29 sites.  Visual transect surveys were completed by SCUBA divers along the bottom of the kelp forest.  The VRG dataset provided fish counts along 2m x 60m transects which were subsequently averaged for comparison with the PISCO dataset. The PISCO dataset provided mean counts along a 2m x 30m transect which were doubled before combining with the VRG data.   The diversity analysis included 84 species of fish.

Tags: animals/vertebrates, benthic, biological classification, biosphere, california, channel islands national marine sanctuary, cinms_assessment, community dynamics, community structure, continent, doc/noaa/nos/nccos, dynamic vegetation/ecosystem models, earth science, earth science services, ecological dynamics, ecosystem functions, ecosystems, environmental assessments, environmental governance/management, environmental monitoring, fish, geographic information, human dimensions, marine biology, marine ecosystems, models, national centers for coastal ocean science, national ocean service, noaa, north america, oceans, pelagic, polygons, southern california, species/population interactions, u.s. department of commerce, united states of america, use/feeding habitats
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 03-09-2026 to 03-15-2026

The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.

Tags: drug-rebate-program
Organization: U.S. Department of Health & Human Services
Data and code for Olson et al. Algal blooms in lakes increase after wildfire smoke events in the contiguous United States

Data and code for Olson et al. Algal blooms in lakes increase after wildfire smoke events in the contiguous United States. 

This dataset is associated with the following publication:
Olson, N.E., M.M. Brehob, R.D. Sabo, I. Pavlovic, K.I. Shank, S. Penry, A.M. Handler, M.J. Pennino, R.B. Rice, K.L. Boaggio, and S.D. LeDuc. Algal Blooms in Lakes Increase After Wildfire Smoke Events in the Contiguous United States.   Global Change Biology Communications. John Wiley & Sons, Inc., Hoboken, NJ, USA, 1(1): e70004, (2026).

Tags: algal-bloom, chlorophyll-a, cyanobacteria, drinking-water, lakes, nutrients, remote-sensing, smoke, wildfire
Organization: U.S. Environmental Protection Agency
BLM ID CADNSDI PLSS Special Survey

PLSS Special Surveys are non-rectangular PLSS survey. These features are not populated for the many eastern states data sets because at the time of the PLSS Surveys in the eastern states, the federal survey types had not been established.  However, for purposes of transition in some of the eastern states PLSS the non-plss data are in the plss special surveys, this will update over time.

Tags: blm, boundaries, bureau-of-land-management, cadastral, cadastral-reference, cadnsdi, doi, gcdb, general-land-office, geographic-coordinate-data-base, geospatial, glo, idaho, management, national-spatial-data-infrastructure, nsdi, parcels, planningcadastre, plss, plss-corners, plss-divisions, plss-sections, plss-special-surveys, public-land-survey-system, range, section, township, us-department-of-the-interior
Organization: Department of the Interior
BLM ID CADNSDI PLSS Township

In the Public Land Survey System a Township refers to a unit of land, that is nominally six miles on a side, usually containing 36 sections. For more information contact us at blm_id_stateoffice@blm.gov.

Tags: blm, boundaries, bureau-of-land-management, cadastral, cadastral-reference, cadnsdi, doi, gcdb, general-land-office, geographic-coordinate-data-base, geospatial, glo, idaho, management, national-spatial-data-infrastructure, nsdi, parcels, planningcadastre, plss, plss-corners, plss-divisions, plss-sections, plss-special-surveys, public-land-survey-system, range, section, township, us-department-of-the-interior
Organization: Department of the Interior
BLM ID CADNSDI PLSS Metadata Glance

This is a graphic representation of the data stewards based on PLSS Townships in PLSS areas. In non-PLSS areas the metadata at a glance is based on a data steward defined polygons such as a city or county or other units. The identification of the data steward is a general indication of the agency that will be responsible for updates and providing the authoritative data sources. In other implementations this may have been termed the alternate source, meaning alternate to the BLM. But in the shared environment of the NSDI the data steward for an area is the primary coordinator or agency responsible for making updates or causing updates to be made. The data stewardship polygons are defined and provided by the data steward. For more information contact us at blm_id_stateoffice@blm.gov.

Tags: blm, boundaries, bureau-of-land-management, cadastral, cadastral-reference, cadnsdi, doi, gcdb, general-land-office, geographic-coordinate-data-base, geospatial, glo, idaho, management, national-spatial-data-infrastructure, nsdi, parcels, planningcadastre, plss, plss-corners, plss-divisions, plss-sections, plss-special-surveys, public-land-survey-system, range, section, township, us-department-of-the-interior
Organization: Department of the Interior
BLM ID CADNSDI PLSS Second Division

 second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot division of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class.  For more information contact us at blm_id_stateoffice@blm.gov.

Tags: blm, boundaries, bureau-of-land-management, cadastral, cadastral-reference, cadnsdi, doi, gcdb, general-land-office, geographic-coordinate-data-base, geospatial, glo, idaho, management, national-spatial-data-infrastructure, nsdi, parcels, planningcadastre, plss, plss-corners, plss-divisions, plss-sections, plss-special-surveys, public-land-survey-system, range, section, township, us-department-of-the-interior
Organization: Department of the Interior