AndreaBozzo/ceres-open-data-index huggingface dataset:
Impaired 2006 River Lake Estuary Set

<p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>Connecticut 303(d) Impaired Waters 2006 is a subset of Connecticut 305(b) Assessed Waters 2006. If any one of the assigned designated uses is categorized as NOT Supporting, the assessed waterbody is included in this subset and is considered impaired. Additional information about Integrated Water Quality reporting is available on the CT DEEP website, <a href='https://portal.ct.gov/DEEP/Water/Water-Quality/Water-Quality-305b-Report-to-Congress' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' rel='nofollow ugc'>Integrated Water Quality Report</a> page. </font></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>Connecticut 305(b) Assessed Waters files includes rivers, lakes and estuaries that have been assessed in compliance with Sections 305(b) and 303(d) of the federal Clean Water Act. Section 305(b) of the Clean Water Act requires each state to monitor, assess and report on the quality of its waters relative to attainment of designated uses established by the State's water quality standards. Section 303(d) requires each State to compile a subset of that list identifying only those waters not meeting water quality standards and assign a Total Maximum Daily Load (TMDL) priority ranking to each impaired waterbody.</font></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>This assessment is based on information collected and compiled prior to 2006. It represents conditions at a particular point in time and does not represent current conditions. Depending on the type of waterbody - river, lake, or estuary - this information geographically displays attainment and non-attainment (e.g. full supporting, not supporting, not assessed) for each designated use - aquatic life, marine aquatic life, recreation use, fish consumption, shellfish harvesting, and drinking water supply.</font></p>

Tags: 2006, connecticut, ct, ctdeep, deep, estuary, impaired, lake, river
Organization: State of Connecticut
Erosion Susceptibility

Connecticut Erosion Susceptibility a 1:24,000-scale, polygon feature-based layer that was developed as a predictive tool to show areas most susceptible to terrace escarpment type erosion. The layer compiled from the soils and quaternary geology data layers and was field tested during October-December, 2005. The Erosion Susceptilibity layer was developed as part of Project #03-02 Statewide GIS Analysis and Mapping of the Geologic Conditions Contributing to Eroding Terrace Escarpments. The layer does not represent eroding conditions at any one particular point in time, but rather base or general conditions which can be accounted for during planning or management strategies. The layer includes 4 types of areas susceptible to erosion, ranked 1 (most susceptible) through 4, and their descriptive attribute. Areas outside of the mapped polygons can be considered less susceptible to erosion. Data is compiled at 1:24,000 scale. This data is not updated.

Connecticut Erosion Sites is a site specific, point feature-based layer developed at 1:24,000-scale that includes decriptive information regarding the character of the erosion (severity, slope, geologic factors) at selected locations through out the state. The layer is based on information collected and compiled during October-December, 2005 while field testing the applicability of the Erosion Susceptilibity layer developed as part of Project #03-02 Statewide GIS Analysis and Mapping of the Geologic Conditions Contributing to Eroding Terrace Escarpments. The layer represents conditions at a particular point in time. The layer includes 83 locations and descriptive attributes (site name, severity of erosion, description, etc) as well as attributes from a spatial join with merged soils and quaternary geology layers. Features are point locations that represent the selected study areas within the state; it is NOT a comprehensive inventory of erosion locations. Data is compiled at 1:24,000 scale. This data is not updated.

Tags: connecticut, ct, ctdeep, deep, erosion, geoscience, quaternary-geology, sedimentation, siltation, soils, susceptibility, terrace-escarpments
Organization: State of Connecticut
Duty to Serve: Rural Areas and High Needs Rural Regions Data

FHFA's Duty to Serve regulation defines "rural area" as:  (i) A census tract outside of an MSA as designated by the Office of Management and Budget (OMB); or (ii) A census tract in an MSA as designated by OMB that is: (A) Outside of the MSA’s Urbanized Areas as designated by the U.S. Department of Agriculture’s (USDA) Rural-Urban Commuting Area (RUCA) Code #1, and outside of tracts with a housing density of over 64 housing units per square mile for USDA’s RUCA Code #2; or (B) A colonia census tract that does not satisfy paragraphs (i) or (ii)(A) of this definition. This data contains both the specific geographies which meet the Rural Areas definition and also the areas defined as “high-needs rural regions”.

Tags: dts, duty-to-serve, rural
Organization: Federal Housing Finance Agency
FHFA House Price Indexes (HPIs)

The FHFA House Price Index (FHFA HPI®) is a comprehensive collection of public, freely available house price indexes that measure changes in single-family home values based on data from all 50 states and over 400 American cities that extend back to the mid-1970s.

Tags: fhfa_hpi, hpi, price-index
Organization: Federal Housing Finance Agency
AmeriCorps Research Grantee Dataset

The AmeriCorps Office of Research and Evaluation provides grants to researchers, scholars, and dissertators at institutions of higher education, enabling them to engage in comprehensive studies on civic engagement, volunteering, and national service. Studies include a variety of populations and ranges from local to organizational, and national contexts throughout the United States. 

This AmeriCorps Research Grantee dataset provides comprehensive information about the grantees and their studies. For each award, we identify the: 1) study title; 2) background; 3) cohort year; 4) principal investigators and their affiliated university; 5) study location(s) associated with each grant; 6) civic engagement topic areas; and 7) the research approach. Please be aware that there may be multiple rows corresponding to a single research grantee study, reflecting the various study sites where the grantee is actively involved. 

Each study was thematically coded to identify their civic engagement topic areas. An individual study can be categorized into more than one group. The topic areas include: 
•	Arts & Culture, 
•	Community Development, 
•	Education Across the Life Course, 
•	Youth Development, 
•	Environmental Stewardship, 
•	Health & Social Wellbeing,
•	New Americans, 
•	Economic Opportunity and Employment, 
•	Social Capital, 
•	Senior Development, and 
•	Volunteering, Nonprofit Studies, and National Service.  

Additionally, the research grantees’ studies were categorized into two distinct research approaches: traditional research and participatory research.

To learn more about the studies’ civic engagement topic areas and research approaches, please refer to the AmeriCorps Research Grantee Data Dictionary under Attachments.

For up-to-date information surrounding the AmeriCorps Research Grantees please see:
•	AmeriCorps Research Grantee Activities and Insights: https://americorps.gov/grantees-sponsors/research-evaluation/grantee-profiles
•	Participatory Research: https://americorps.gov/sites/default/files/document/2021_07_20_ParticipatoryResearchOnePager_ORE.pdf

Tags: americorps, civic-engagement, evaluation, grantees, grants, participatory-research, research, volunteering, volunteering-and-civic-life-in-america
Organization: AmeriCorps
Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017

2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke. 
http://www.cdc.gov/dhdsp/maps/atlas

Tags: cardiovascular-disease, cerebrovascular-disease, county, stroke
Organization: U.S. Department of Health & Human Services
Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2018-2020

2018 to 2020, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html

Tags: cardiovascular, cardiovascular-disease, cerebrovascular-disease, counties, county, stroke
Organization: U.S. Department of Health & Human Services
Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018

2016 to 2018, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html

Tags: cardiovascular, cardiovascular-disease, counties, county, heart, heart-disease
Organization: U.S. Department of Health & Human Services
Stroke Mortality Data Among US Adults (35+) by State/Territory and County

2014 to 2016, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html

Tags: cardiovascular-disease, cerebrovascular-disease, county, stroke
Organization: U.S. Department of Health & Human Services
Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2017-2019

2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html

Tags: cardiovascular, cardiovascular-disease, counties, county, heart, heart-disease
Organization: U.S. Department of Health & Human Services
US Geothermal Electricity and Heat Market Analysis and Report

The power production data from FY19 is provided for U.S. geothermal power plants. The spreadsheet includes the plant name and type, nameplate capacity, summer capacity, winter capacity, and net generation for each power plant.

Tags: binary, double-flash, dry-steam, energy, geothermal, geothermal-resources-council, geothermal-rising, grc, mean-net-generation, nameplate-capacity, net-generation, plant-type, power, power-production, single-flash, summer-capacity, triple-flash, winter-capacity
Organization: Department of Energy
Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2017-2019

2017 to 2019, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html

Tags: cardiovascular, cardiovascular-disease, cerebrovascular-disease, counties, county, stroke
Organization: U.S. Department of Health & Human Services
Stroke Mortality Data Among US Adults (35+) by State/Territory and County – 2016-2018

2016 to 2018, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-stroke-atlas/about/index.html

Tags: cardiovascular, cardiovascular-disease, cerebrovascular-disease, counties, county, stroke
Organization: U.S. Department of Health & Human Services
Heart Disease Mortality Data Among US Adults (35+) by State/Territory and County – 2015-2017

2015 to 2017, 3-year average. Rates are age-standardized. County rates are spatially smoothed. The data can be viewed by sex and race/ethnicity. Data source: National Vital Statistics System. Additional data, maps, and methodology can be viewed on the Interactive Atlas of Heart Disease and Stroke https://www.cdc.gov/heart-disease-and-stroke-data/index.html

Tags: cardiovascular-disease, county, heart, heart-disease
Organization: U.S. Department of Health & Human Services
Dataset for "Modeling the Air Quality Impacts of Future Energy Scenarios", by Shankar et al.

This file describes the dataset used in the following manuscript: 
Shankar, U., B. N. Murphy, M. A. Weber, Y. Ou, S. J. Smith, D. H. Loughlin, C. G. Nolte, "Modeling the Air Quality Impacts of Future Energy Scenarios".
This manuscript describes the linkage between a human-Earth system model and a chemical transport model to simulate the air quality impacts of potential large-scale changes in the U.S. energy system.

This dataset includes emissions outputs from simulations conducted using the Global Change Analysis Model (GCAM) with state-level representation of the U.S. energy system (GCAM-USA). It also includes a script that is used to generate an emissions control file for the Community Multiscale Air Quality (CMAQ) model, along with the CMAQ source code used in this study. 

Finally, the dataset includes Excel workbooks that contain data for some of the figures used in the manuscript, as well as postprocessed CMAQ outputs and scripts used to create other figures that appear in the manuscript.


Tags: air-quality, co-benefits, emissions-projection, greenhouse-gas-mitigation, human-earth-system-models
Organization: U.S. Environmental Protection Agency
Data associated with Wallis et al. 2024

Metadata supporting Wallis et al. 2024 in Environment International. 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: Data from the National Children's Study must be accessed through the National Institutes of Health, National Institute of Child Health and Human Development's Data and Specimen Hub (DASH) at https://dash.nichd.nih.gov/. Format: Participant demographic, lifestyle, residence, occupational, and other types of data from questionnaire and observational survey instruments are in .csv and .xlsx files. PFAS measurements in serum and house dust in .csv files. 

This dataset is associated with the following publication:
Wallis, D., K. Miller, N. Deluca, K. Thomas, C. Fuller, J. McCord, E. Cohen-Hubal, and J. Minucci. Understanding prenatal household exposures to per- and polyfluorylalkyl substances using paired Biological and dust measurements with sociodemographic and housing variables.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 194(December): 109157, (2024).

Tags: house-dust, polyfluorinated-alkyl-substances-pfas, prenatal-exposure, serum, sociodemographic-characteristics
Organization: U.S. Environmental Protection Agency
Jampel PM2.5 Infant Mortality Environmental Epidemiology Manuscript Data Sets

We conducted an unmatched case-control study of 5,992 infant mortality cases and 60,000 randomly selected controls from a North Carolina Birth Cohort (2003-2015). PM2.5 during critical exposure periods (trimesters, pregnancy, first month alive) were estimated using residential address and a national spatiotemporal model at census block centroid.  Here we describe data sources for outcome (i.e., infant mortality) and exposure (i.e., PM2.5) 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: The North Carolina Birth Cohort data are not publicly available as it contains personal identifiable information. Data may be requested through the NCDHHS, Division of Public Health with proper approvals. 

Air pollutant concentrations for PM2.5 from the national spatiotemporal model are available upon request and may require a processing fee. Air monitoring data questions can be directed to Ms. Amanda Gassett at the University of Washington. Format: Birth certificate data from the State Center for Health Statistics of the NC Department of Health and Human Services linked with data from the Birth Defects Monitoring Program (NC BDMP) to create a birth cohort of all infants born in NC between 2003-2015. The NC BDMP is an active surveillance system that follows NC births to obtain birth defect diagnoses up to 1 year after the date of birth as well as identify infant deaths during the first year of life and include relevant information from the death certificate. 

A national spatiotemporal model provided data on predicted PM2.5 concentrations over critical prenatal and postnatal time periods. The prediction model used data from research and regulatory monitors as well as a large (>200) array of geographic covariates to create fine scale spatial and temporal predictions. The model has a cross-validated R2 of 0.89 for PM2.5. Concentrations were predicted for every 2 weeks in the study period at the centroid of each 2010 census block in NC. 

This dataset is associated with the following publication:
Jampel, S., J. Kaufman, D. Enquobahrie, A. Wilkie, A. Gassett, and T. Luben. Association between fine particulate matter (PM2.5) and infant mortality in a North Carolina Birth Cohort (2003-2015).   Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn,  NETHERLANDS, 8(6): e350, (2024).

Tags: air-pollution, childrens-environmental-health, infant-mortality, naaqs, particulate-matter
Organization: U.S. Environmental Protection Agency
Data for decontamination of soil using steam

The data are for the four phases of soil column testing, and include the colony forming unit (CFU) results and the steam and temperature data.  Refer to the data dictionary for more details. 

This dataset is associated with the following publication:
Wood, J., T. Chamberlain, A. Touati, D. Aslett, A. Abdel-Hady, M. Monge, W. Calfee, A. Mikelonis, E. Silvestri, S. Serre, and C. Hintz. Decontamination of soil contaminated at the surface with Bacillus anthracis (anthrax) surrogate spores using steam vapor.   ENVIRONMENTAL ENGINEERING SCIENCE. Mary Ann Liebert, Inc., Larchmont, NY, USA, 42(2): 92-102, (2025).

Tags: anthrax, bacillus-anthracis, decontamination, homeland-security, soil, steam
Organization: U.S. Environmental Protection Agency
PFAS correlates of dietary exposure

counts of articles that include data on dietary exposures to PFAS through foods or food contact materials/products. This dataset is not publicly accessible because: Data are not EPA. It can be accessed through the following means: go to the literature and look up the articles. Format: Data are associated with a literature review.  Data are counts of articles that met inclusion criteria. 

This dataset is associated with the following publication:
Holder, C., E. Cohen-Hubal, J. Luh, M. Lee, L. Melnyk, and K. Thomas. Systematic evidence mapping of potential correlates of exposure for per- and poly-fluoroalkyl substances (PFAS) based on measured occurrence in biomatrices and surveys of dietary habits and product use.   INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH. Elsevier B.V., Amsterdam,  NETHERLANDS, 259(June): 114384, (2024).

Tags: correlates-database, dietary-intake, evidence-mapping, human-exposure, pfas, product-use
Organization: U.S. Environmental Protection Agency
Per- and polyfluoroalkyl substances (PFAS) in paired tap water and house dust from United States homes

Per- and polyfluoroalkyl substances (PFAS) in paired tap water and house dust from United States homes.
Summary statistics for PFAS measured in paired tap water and house dust samples from the subset of AHHS II homes. Statistics were calculated using PFAS with >50% detection frequencies in each medium. GM: geometric mean; GSD: geometric standard deviation.  Associated methodological parameters. 

This dataset is associated with the following publication:
Deluca, N., J. Boettger, K. Miller, C. Fuller, J. Minucci, P. Ashley, D. Cox, G. Dewalt, W. Friedman, E. Pinzer, K. Bradham, J. McCord, and E. Cohen-Hubal. Per- and polyfluoroalkyl substances (PFAS) in paired house dust and tap water from United States homes.   Indoor Environments. Elsevier B.V., Amsterdam,  NETHERLANDS, 1(3): 100033, (2024).

Tags: dust, pfas, residential, tap-water
Organization: U.S. Environmental Protection Agency
NCUA Natural Person 5300 Call Report Data

Quarterly posting of publicly available financial performance data for federally insured credit unions based on their quarterly Call Report filings.  The Call Report Data files are compressed (ZIP) files and must be uncompressed using a program compatible WinZip®. The data files are in comma delimited text file format that is suitable for importing into a database or spreadsheet using unique identifier CU_Number. The "acctdesc" files provide data dictionary information.

Tags: 5300-call-report, call-report, call-report-credit-union, call-report-data, credit-union, credit-union-data, data-on-credit-unions, financial-performance-data, industry-data
Organization: National Credit Union Administration NCUA
NCUA Unclaimed Deposits List

When a credit union with federal insurance is liquidated, the NCUA's Asset Management and Assistance Center is responsible for paying the share accounts to the members. Invariably, some items may remain unclaimed. Some checks are never cashed; or the credit union's address information was incomplete. There are also cases when we don't have a recent address and are unable to get a forwarding address from the post office. f you believe the NCUA may be holding funds for you, please review our current list of unclaimed deposits.

Tags: conservatorships, credit-union, credit-union-data, data-on-credit-unions, liquidations, ncua, unclaimed-deposits
Organization: National Credit Union Administration NCUA