AndreaBozzo/ceres-open-data-index huggingface dataset:
HHS COVID-19 Small Area Estimations Survey - Primary Vaccine Series - Wave 01

The goal of the Monthly Outcome Survey (MOS) Small Area Estimations (SAE) is to generate estimates of the proportions of adults, by county and month, who were in the population of interest for the U.S. Department of Health and Human Services’ (HHS) We Can Do This COVID-19 Public Education Campaign. These data are designed to be used by practitioners and researchers to understand how county-level COVID-19 vaccination hesitancy changed over time in the United States.

Tags: covid-19, demography, geographic, hhs, maps, primary-series, public-education-campaign, sae-maps, small-area-estimations, statistical-models, u-s-adults, vaccination
Organization: U.S. Department of Health & Human Services
COVID-19 State Profile Report - Maryland

<b>After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic.
Data about COVID-19 will continue to be updated at <a href='https://covid.cdc.gov/covid-data-tracker/#datatracker-home' >CDC’s COVID Data Tracker</a>.
 </b>

<p>
The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level.
 </p>

It is a weekly snapshot in time that:
<ul>
<li>Focuses on recent outcomes in the last seven days and changes relative to the month prior</li>
<li>Provides additional contextual information at the county level for each state, and includes national level information</li>
<li>Supports rapid visual interpretation of results with color thresholds</li>
</ul>

Tags: covid-19, covid-19-spr
Organization: U.S. Department of Health & Human Services
HHS COVID-19 Monthly Outcome Survey - Wave 24

The Monthly Outcome Survey (MOS) was designed to assess COVID-19 vaccine uptake as well as beliefs, intentions, and behaviors relevant to COVID-19 vaccination at a point in time. The survey fielded on a monthly basis from January 2021 to April 2023. When the MOS first launched, it focused on the primary series of COVID-19 vaccines; in later waves, it was expanded to assess parents’ intentions to get their children vaccinated or boosted and to track booster and updated vaccine uptake and readiness. The MOS fielded as part of an online omnibus survey, conducted with a cross-sectional sample of approximately 5,000 U.S. adults each month.

Tags: adults, age-groups, agency-for-healthcare, covid-19, covid-19-vaccination, covid-19-vaccine-uptake, covid19, dataset, hesitancy, hhs, no-vaccine-intentions, public-education-campaign, research, u-s-adults, vaccination, vaccine-hesitancy, vaccine-readiness, vaccine-ready, vaccine-uptake, wait-and-see
Organization: U.S. Department of Health & Human Services
HHS COVID-19 Small Area Estimations Survey - Primary Vaccine Series - Wave 04

The goal of the Monthly Outcome Survey (MOS) Small Area Estimations (SAE) is to generate estimates of the proportions of adults, by county and month, who were in the population of interest for the U.S. Department of Health and Human Services’ (HHS) We Can Do This COVID-19 Public Education Campaign. These data are designed to be used by practitioners and researchers to understand how county-level COVID-19 vaccination hesitancy changed over time in the United States.

Tags: covid-19, demography, geographic, hhs, maps, primary-series, public-education-campaign, sae-maps, small-area-estimations, statistical-models, u-s-adults, vaccination
Organization: U.S. Department of Health & Human Services
COVID-19 State Profile Report - North Carolina

<b>After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic.
Data about COVID-19 will continue to be updated at <a href='https://covid.cdc.gov/covid-data-tracker/#datatracker-home' >CDC’s COVID Data Tracker</a>.
 </b>

<p>
The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level.
 </p>

It is a weekly snapshot in time that:
<ul>
<li>Focuses on recent outcomes in the last seven days and changes relative to the month prior</li>
<li>Provides additional contextual information at the county level for each state, and includes national level information</li>
<li>Supports rapid visual interpretation of results with color thresholds</li>
</ul>

Tags: covid-19, covid-19-spr
Organization: U.S. Department of Health & Human Services
Help America Vote Verification (HAVV) Transactions by State - Week Ending June 21, 2025

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending June 21, 2025.

Tags: 2025, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, june, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
Help America Vote Verification (HAVV) Transactions by State - Week Ending June 14, 2025

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending June 14, 2025.

Tags: 2025, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, june, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
Earnings Data from the Benefits and Earnings Public-Use File - 2020

This file contains earnings data and is part of a set of two separate but associated subfiles, one with Social Security benefit information and the other with longitudinal earnings information. Sample beneficiary records drawn from the Old-Age, Survivors, and Disability Insurance (OASDI) program can be linked to their corresponding earnings histories.

Tags: 2004, beneficiary, benefits, disability, earnings-history, entitlement, oasdi, old-age, social-insurance, social-security, social-security-administration, social-security-benefits, social-security-covered-earnings, ssa, survivors
Organization: Social Security Administration
Help America Vote Verification (HAVV) Transactions by State - Week Ending June 7, 2025


This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending June 7, 2025.

Tags: 2025, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, june, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
Help America Vote Verification (HAVV) Transactions by State - Week Ending May 24, 2025


This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending May 24, 2025.

Tags: 2025, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, may, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
Help America Vote Verification (HAVV) Transactions by State - Week Ending May 17, 2025

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending May 17, 2025.

Tags: 2025, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, may, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
Help America Vote Verification (HAVV) Transactions by State - Week Ending May 10, 2025

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending May 10, 2025.

Tags: 2025, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, may, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
Help America Vote Verification (HAVV) Transactions by State - Week Ending May 3, 2025

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending May 3, 2025.

Tags: 2025, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, may, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
Help America Vote Verification (HAVV) Transactions by State - Week Ending April 26, 2025

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending April 26, 2025.

Tags: 2025, april, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
Baby Names from Social Security Card Applications - Territory Data

The data (name, year of birth, sex, and number) are from a 100 percent sample of Social Security card applications for 1998 on.

Tags: 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, baby-names, births, social-security, social-security-administration, social-security-cards, ssa
Organization: Social Security Administration
Resident Station Contact Information

SSA provides a web service and downloadable file for SSA Resident Station locations, telephone numbers, and hours of operation. (Note: If you think an office might be closed due to an emergency, check www.ssa.gov/agency/emergency)

Tags: address, api, application-developers, field-office-locations, foia, freedom-of-information, hours-of-operation, location, resident-station, rest, social-security, social-security-administration, ssa, telephone-numbers
Organization: Social Security Administration
OASDI Beneficiaries and Benefits by State Map - 2015

This annual map focuses on the Social Security beneficiary population receiving Old-Age, Survivors, and Disability Insurance (OASDI) benefits at the state level in 2015. It presents basic program data on the number and type of beneficiaries and the amount of benefits paid in each state.

Tags: 2015, aged-65-or-older, children, current-payment-status, disability-insurance, disabled-worker, geospatial, map, men, oasdi, old-age, parents, retired-worker, social-security, social-security-administration, spouses, ssa, state, survivors, widowers, women
Organization: Social Security Administration
Baby Names from Social Security Card Applications - State and District of Columbia Data

The data (name, year of birth, sex, state, and number) are from a 100 percent sample of Social Security card applications starting with 1910. National data is in another dataset.

Tags: 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, baby-names, births, social-security, social-security-administration, social-security-cards, ssa
Organization: Social Security Administration
Baby Names from Social Security Card Applications - National Data

The data (name, year of birth, sex, and number) are from a 100 percent sample of Social Security card applications for 1880 on.

Tags: 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, baby-names, births, social-security, social-security-administration, social-security-cards, ssa
Organization: Social Security Administration
National Survey of SSI Children and Families (NSCF)

The NSCF collected data on the health status and functional limitations, health care utilization, health insurance coverage, receipt of services, SSI experience, socioeconomic status of children's households, and housing characteristics of over 8,000 children who were receiving, had received, or were applying for SSI. The study is limited to the non-institutionalized population in the continental United States (i.e., it does not include residents of Alaska, Hawaii, and US territories). Data collection began in July 2001 and ended in July 2002.

Tags: children, disability, social-security, social-security-administration, ssa, ssi, supplemental-security-income
Organization: Social Security Administration
Evaluating the impacts of metal exposure concentration and duration on juvenile fish transcriptomes

Our research used a combination of laboratory-based acute aqueous metals exposures and RNA-sequencing technologies to identify a gene-based means to extrapolate metals toxicity across a range of fish taxa. For Phase 1 of our project, we compared transcriptome changes in caudal fin, gill and liver of juvenile Rainbow trout (Oncorhynchus mykiss) exposed to cadmium (Cd), copper (Cu), or zinc (Zn) at 17, or 50% of LC50 concentrations for 24 and 96 hours to controls. These experiments allowed us to test for conserved responses to the metal exposures, and to test which metal produced the most coherent gene expression profile indicative of a defined mode of action. During Phase 2, we exposed  juvenile Chinook salmon (Oncorhynchus tshawytscha) to the selected metal (Zn) to begin to ascertain the extent to which the mode of action identified was conserved among salmonids.

Tags: chinook-salmon, fish, metals-toxicity, rainbow-trout, rna-seq, transcriptome
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Average Annual Sediment Delivery Ratio (Scaled) - Existing Land Use / Land Cover Scenario for the Conterminous United States

This EnviroAtlas national dataset shows the average sediment delivery ratio (SDR) - the percentage of soil eroding from a pixel that is transported to a downstream water body - per pixel *1.0e4 for the conterminous United States for 2011 with existing land use / land cover. This raster is part of a collection of eight rasters showing soil loss, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios, and the difference between both scenarios for soil loss and sediment yield. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: alabama, arizona, arkansas, california, colorado, connecticut, delaware, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, florida, georgia, idaho, illinois, indiana, iowa, kansas, kentucky, land, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, nebraska, nevada, new hampshire, new jersey, new mexico, new york, north carolina, north dakota, ohio, oklahoma, oregon, pennsylvania, rhode island, soils, south carolina, south dakota, surface water, tennessee, texas, united states, utah, vermont, virginia, washington, washington dc, water, west virginia, wisconsin, wyoming
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Average Annual Soil Loss Avoided due to Vegetation (Scaled) for the Conterminous United States

This EnviroAtlas national dataset shows the average annual soil loss from each pixel avoided due to natural vegetation in metric tons per hectare*10,000 for the conterminous United States for 2011. It is the difference between soil loss with existing land use / land cover and under a scenario in which natural vegetation has been removed. This raster is part of a collection of eight rasters showing soil loss, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios, and the difference between both scenarios for soil loss and sediment yield. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: alabama, arizona, arkansas, california, colorado, connecticut, delaware, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, florida, georgia, idaho, illinois, indiana, iowa, kansas, kentucky, land, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, nebraska, nevada, new hampshire, new jersey, new mexico, new york, north carolina, north dakota, ohio, oklahoma, oregon, pennsylvania, rhode island, soils, south carolina, south dakota, surface water, tennessee, texas, united states, utah, vermont, virginia, washington, washington dc, water, west virginia, wisconsin, wyoming
Organization: U.S. Environmental Protection Agency