AndreaBozzo/ceres-open-data-index huggingface dataset:
2021 CEV Data: Current Population Survey Civic Engagement and Volunteering Supplement

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September 2021.

The CEV can generate reliable estimates at the national level, within states and the District of Columbia, and in the largest twelve Metropolitan Statistical Areas to support evidence-based decision making and efforts to understand how people make a difference in communities across the country. 

Click on "Export" to download and review an excerpt from the 2021 CEV Analytic Codebook that shows the variables available in the analytic CEV datasets produced by AmeriCorps.

Click on "Show More" to download and review the following 2021 CEV data and resources provided as attachments:

1) 2021 CEV Dataset Fact Sheet – brief summary of technical aspects of the 2021 CEV dataset.
2) CEV FAQs – answers to frequently asked technical questions about the CEV
3) Constructs and measures in the CEV
4) 2021 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta), R (.rdata), SPSS (.sav), and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps. These files were updated on January 16, 2025 to correct erroneous missing values for the ssupwgt variable.
5) 2021 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau
6) Nonresponse Bias Analysis produced by U.S. Census Bureau
7) 2021 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)

Tags: 2021, 2021-cev, americorps, census, cev, civic-engagement, volunteering, volunteering-and-civic-life-in-america, volunteering-in-america
Organization: AmeriCorps
H11693: NOS Hydrographic Survey , Potomac River Recon, District of Columbia and Maryland, 2007-06-21

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, bathymetry, bathymetry/seafloor topography, central potomac river, continent, district of columbia, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, maryland, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, ocean, oceans, passive remote sensing, positioning/navigation, potomac river, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2019 CEV Data: Current Population Survey Civic Engagement and Volunteering Supplement

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September 2019.

The CEV can generate reliable estimates at the national level, within states and the District of Columbia, and in the largest twelve Metropolitan Statistical Areas to support evidence-based decision making and efforts to understand how people make a difference in communities across the country.

This page was updated on January 16, 2025 to ensure consistency across all waves of CEV data.

Click on "Export" to download and review an excerpt from the 2019 CEV Analytic Codebook that shows the variables available in the analytic CEV datasets produced by AmeriCorps.

Click on "Show More" to download and review the following 2019 CEV data and resources provided as attachments:

1) CEV FAQs – answers to frequently asked technical questions about the CEV
2) Constructs and measures in the CEV
3) 2019 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta), R (.rdata), SPSS (.sav), and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps. 
4) 2019 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau
5) 2019 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)

Tags: 2019, 2019-cev, americorps, census, cev, civic-engagement, volunteering, volunteering-and-civic-life-in-america, volunteering-in-america
Organization: AmeriCorps
PoroTomo: BRAD and BRDY GPS Station RINEX Files - December 20, 2014

This dataset provides links to daily RINEX files for two GPS stations at Brady's Hot Springs as of December 20, 2014. The data is formatted as compressed GNSS RINEX observation files and is accessible through CSV files containing metadata such as file size, data type, and publication dates. The dataset includes FTP links for downloading the individual RINEX files and covers data collected through 2012.  

The CSV files serve as a directory for navigating to the correct FTP locations to access the desired data. Users are advised to cross-reference the filenames and station identifiers (BRAD or BRDY) when downloading files. The files were generated by the UNAVCO GSAC Repository, and all data-related timestamps and units are specified within the CSV structure.  Links to additional resources, including the original database for direct downloads and a more recent dataset with data as of March 26, 2015, are also provided. 

Tags: brad, brady, brady-hot-springs, bradys-hot-springs, brdy, csv, field, ftp-location, geodesy, geospatial-data, geothermal, gps, hydrothermal, nevada, porotomo, rinex, unavco
Organization: Department of Energy
Low-Income Energy Affordability Data - LEAD Tool - 2022 Update

The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state and local partners understand housing and energy characteristics for the low- and moderate-income (LMI) communities they serve. The LEAD Tool provides estimated LMI household energy data based on income, energy expenditures, fuel type, housing type, and geography, which stakeholders can use to make data-driven decisions when planning for their energy goals. From the LEAD Tool website, users can also create and download customized heat-maps and charts for various geographies, housing, energy characteristics, and population demographics and educational attainment.

Datasets are available for 50 states plus Puerto Rico and Washington D.C., along with their cities, counties, and census tracts, as well as tribal areas. The file below, "01. Description of Files," provides a list of all files included in this dataset. A description of the abbreviations and units used in the LEAD Tool data can be found in the file below titled "02. Data Dictionary 2022". A list of geographic regions used in the LEAD Tool can be found in files 04-11.

The Low-Income Energy Affordability Data comes primarily from the 2022 U.S. Census American Community Survey 5-Year Public Use Microdata Samples and is calibrated to 2022 U.S. Energy Information Administration electric utility (Survey Form-861) and natural gas utility (Survey Form-176) data. The methodology for the LEAD Tool can viewed below (3. Methodology Document).

For more information, and to access the interactive LEAD Tool platform, please visit the "10. LEAD Tool Platform" resource link below. 

For more information on the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA), please visit the "11. CELICA Website" resource below. 

Tags: ami, annual-energy-burden, area-median-income, better-buildings, building, building-age, building-type, celica, census, cost, electricity, energy, energy-burden, federal-poverty-level, fpl, fuel-type, gas, heating-fuel, housing-costs, lead-tool, lmi, low-income, low-income-energy-affordability-data, low-to-moderate-income, moderate-income, owner, renter, smi, state-median-income
Organization: Department of Energy
WIND Toolkit Long-Term Ensemble Dataset

WIND Toolkit Long-term Ensemble Dataset (WTK-LED), an updated version of the meteorological WIND Toolkit, is a meteorological dataset providing high-resolution time series, including interannual variability and model uncertainty of wind speed at every modeling grid point to indicate ranges of possible wind speeds. The data were produced using the Weather Research and Forecasting Model (WRF). The vertical grid used in WTK-LED includes many vertical layers in the atmospheric boundary layer to provide information of atmospheric quantities across the rotor layer of utility scale and distributed wind turbines. The WTK-LED includes:  
(1) Numerical simulations of wind speed and other meteorological variables covering the contiguous United States (CONUS) and Alaska, with high-resolution (5-minute [min], 2-kilometer [km]) data for 3 years (2018-2020): WTK-LED CONUS, WTK-LED Alaska.
(2) Climate simulations from Argonne National Laboratory covering North America, including Alaska, Canada, and most of Mexico and the Caribbean islands. These simulations complement the new WTK-LED to offer a 4-km, hourly dataset covering 20 years (2001-2020): WTK-LED Climate.
(3) Specific long-term, high-resolution offshore simulations have been conducted separately for the U.S. coasts, Hawaii, and the Great Lakes, leading to the 2023 National Offshore Wind dataset: NOW-23. The data for Hawaii include land-based data and are part of WTK-LED Hawaii.

Because the accuracy of simulations from a mesoscale model, such as WRF, varies depending on the location and weather situation, and can reach up to several m/s for wind speed, we provide simulated wind speed uncertainty estimates to the community to be used in conjunction with the deterministic model simulations.

This dataset was developed to satisfy a wide group of stakeholders across various wind energy disciplines, including but not limited to stakeholders in the distributed and utility scale wind industry, the new emerging airborne wind energy field, grid integration, power systems modeling, environmental modeling, and researchers in academia, and to close some of the gaps that current public datasets have.

Based on our validation results to date, we suggest use cases and applications for each dataset of the WTK-LED as shown in "WTK-LED Use Cases" resource below. 

Tags: data, energy, long-term-ensemble, meteorological, processed-data, resource-uncertainty, simulation, weather, wind, wind-resource-assessment, wind-toolkit, wrf, wtk-led
Organization: Department of Energy
H11600: NOS Hydrographic Survey , New York Harbor and Approaches, New York and  New Jersey, 2006-10-09

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, bathymetry, bathymetry/seafloor topography, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, new york, new york harbor, noaa, north america, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, u.s. department of commerce, united states of america, upper bay, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2022 Annual Technology Baseline (ATB) Cost and Performance Data for Transportation Technologies

The 2022 Transportation Annual Technology Baseline (ATB) provides detailed cost and performance data, estimates, and assumptions for vehicle and fuel technologies in the United States. It includes current and projected estimates: time-series through 2050 for light, medium, and heavy-duty vehicle technologies; scenarios for conventional and alternative fuels. It details the assumptions used to calculate those costs, such as natural gas and electricity prices, discount rates, and vehicle miles traveled. 

The 2022 Transportation ATB vehicle data are specifically for cars powered by gasoline, diesel, natural gas, gasoline hybrid, plug-in hybrid, battery electric, and fuel-cell powertrains and for trucks powered by diesel, diesel hybrid, plug-in hybrid, battery electric, and fuel cell powertrains. Fuels and blendstocks include gasoline, ethanol, blendstock for oxygenate blending, diesel, diesel from biomass, natural gas, electricity, hydrogen, aviation fuel, and marine fuel. 

At this time, the ATB does not include other vehicles such as buses, 2- and 3-wheeled motorized vehicles, or non-road vehicles such as aircraft, vessels, locomotives, and those for industry and agriculture.

See "ATB Transportation Website" resource below for more project information.

Tags: 2022, annual-technology-baseline, atb, cost, data, electricity, energy, fuel, model, natural-gas, performance, power, technology, time-series, transportation, united-states, vehicle
Organization: Department of Energy
NOAA NCCOS: New England Red Tide Research

Alexandrium blooms are one of several algal bloom types often called "red tides," but more correctly referred to as Harmful Algal Blooms (HABs). Alexandrium produces a potent toxin that accumulates in shellfish and can cause illness in humans who eat contaminated shellfish.

Tags: alexandrium blooms, algae, atlantic waters, bivalve shellfish, bloom events, buzzards bay, cape ann, cape cod bay, carnivorous snails, cell counts, connecticut, doc/noaa/nos/nccos, environmental monitoring, hab, habs, harmful algal blooms, maine, marine microbiota, martha's vineyard, massachusetts, massachusetts bay, mussel, mussel harvest, nantucket island, national centers for coastal ocean science, national ocean service, new england, new england coastal waters, new hampshire, noaa, paralytic shellfish poisoning, phytoplankton, portsmouth, psp, red tide, rhode island, salinity, shellfish, surfacewater quality, tides, toxin, toxins, u.s. department of commerce, water temperature, whoi, wind direction, wind speed, woods hole oceanographic institution
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Phytoplankton Monitoring Network (PMN) - Sampling Sites

A qualitative collection of data that includes salinity, temperature, phytoplankton counts and abundance ratios obtained from surface tows in the estuarine and marine environments.

Tags: coastal monitoring, estuarine, harmful algal bloom, marine, oceans, phytoplankton, species, taxa, tidal freshwater, united states
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Oil and Gas Pipelines in the Gulf of Mexico from BOEM

A line file representing locations of the pipeline infrastructure in the Gulf of Mexico associated with the oil and gas industry is presented. These layers were modified from GIS data acquired from the U. S. Department of the Interior, Bureau of Ocean Energy Management (BOEM) website. We note that pipelines are being added or modified continuously, thus regular updates of this database are required to know the true distribution of pipelines. The current layers are non-projected with coordinates in decimal degrees.

Tags: alabama, florida, geographic information system, gis, gulf of mexico, louisiana, mississippi, oil and gas, outer continental shelf, petroleum, pipeline, texas, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GISS Surface Temperature Analysis

The GISTEMP dataset is a global 2x2 gridded temperature anomaly dataset. Temperature data is updated around the middle of every month using current
data files from NOAA GHCN v3 (meteorological stations), ERSST v5 (ocean areas), and SCAR (Antarctic stations), combined as described in the December
2010 publication (Hansen et al. 2010). These updated files incorporate reports for the previous month and also late reports and corrections for
earlier months. Please refer to the NASA webpage for more details, caveats, and products.

Tags: long term mean monthly average temperature anomalies, monthly average temperature anomalies
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Time-Series Data on the Ocean and Great Lakes Economy for Counties, States, and the Nation between 2005 and 2019 (Sector Level)

Economics: National Ocean Watch (ENOW) contains annual time-series data for over 400 coastal counties, 30 coastal states, 8 regions, and the nation, derived from the Bureau of Labor Statistics and the Bureau of Economic Analysis.  It describes six economic sectors that depend on the oceans and Great Lakes and measures four economic indicators: Establishments, Employment, Wages, and Gross Domestic Product (GDP).

Tags: coastal areas, coastal counties, coastal states, continent, doc/noaa/nos/ocm, dredging, earth science, economic resources, economics, fishing, great lakes, human dimensions, human settlements, marine construction, marine transportation, naics, national ocean service, noaa, north america, north american industrial classification system, office of coastal management, offshore oil and gas, recreation, recreational activities/areas, ship building, shipping, social behavior, socioeconomics, sustainability, sustainable development, tourism, u.s. department of commerce, united states, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Time-Series Data for Self-Employed Economic Activity Dependent on the Ocean and Great Lakes Economy for Counties, States, and the Nation between 2005 and 2017

Nonemployer Statistics for Economics: National Ocean Watch (ENOW NES) contains annual time-series data for over 400 coastal counties, 30 coastal states, and the nation, derived from the United States Census Bureau.   ENOW NES data report the number of nonemployer establishments and gross receipts, within the six sectors of the ocean and Great Lakes economy, .

Tags: coastal areas, coastal counties, coastal states, continent, doc/noaa/nos/ocm, dredging, earth science, economic resources, economics, fishing, great lakes, human dimensions, human settlements, marine construction, marine transportation, naics, national ocean service, noaa, north america, north american industrial classification system, office of coastal management, offshore oil and gas, recreation, recreational activities/areas, self-employed, ship building, shipping, social behavior, socioeconomics, sustainability, sustainable development, tourism, u.s. department of commerce, united states, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Coastal States based on 2000 Census Block Groups

This data depicts the social vulnerability of coastal states census block groups to environmental hazards.  Data were culled primarily from the 2000 Decennial Census.

Tags: census block groups, coastal states, comparative index, demographics, doc/noaa/nos/ocm, environmental hazards, indicators, national ocean service, noaa, office of coastal management, parentrecords, resilience, social vulnerability index, socioeconomics, u.s. department of commerce, united states, vulnerability
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Alaska based on 2000 Census Block Groups

This data depicts the social vulnerability of Alaska census block groups to environmental hazards.  Data were culled primarily from the 2000 Decennial Census.

Tags: alaska, census block groups, coastal areas, coastal states, comparative index, continent, demographic, demographics, doc/noaa/nos/ocm, earth science, environmental hazards, hazard mitigation/planning, household income, human dimensions, human settlements, indicators, national ocean service, noaa, north america, office of coastal management, population, population estimates, poverty levels, resilience, social behavior, social vulnerability index, socioeconomics, u.s. department of commerce, united states, united states of america, vulnerability, vulnerability levels/index
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
NOAA Digital Coast Sea Level Rise and Coastal Flooding Impacts Viewer

The Sea Level Rise and Coastal Flooding Impacts Viewer depicts potential sea level rise and its associated impacts on the nation's coastal areas. These coastal areas include all the states (except for Alaska, Louisiana, and Great Lake states) and the U.S. territories of Guam, Puerto Rico, Saipan, and the U.S. Virgin Islands.  The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. Being able to visualize potential impacts from sea level rise is a powerful teaching and planning tool, and the viewer brings this capability to coastal communities. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.coast.noaa.gov/slr/. Some of the features of this tool are: 1. Displays potential future sea levels 2. Provides simulations of sea level rise at local landmarks 3. Communicates the spatial uncertainty of mapped sea levels 4. Models potential marsh migration due to sea level rise 5. Overlays social and economic data onto potential sea level rise 6. Examines how tidal flooding will become more frequent with sea level rise

Tags: bathymetry/topography, dem, digital elevation model, doc/noaa/nos/ocm, elevation, flooding, inundation, lidar, national ocean service, noaa, office of coastal management, parentrecords, sea level rise, topography, u.s. department of commerce, united states, us coastlines, us territories
Organization: National Oceanic and Atmospheric Administration, Department of Commerce