AndreaBozzo/ceres-open-data-index huggingface dataset:
NCbirth.air.pollution.NDI

Dataset contains information on births in NC during the study period, linked with air pollutant concentrations during pregnancy periods, and index of neighborhood deprivation developed from US census 2000 and 2010 variables. 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: Birth data can be requested through the North Carolina Department of Health and Human Services website. Air pollution data is available through the EPA's RSIG gateway. Census data is available through the US Census website. Code will be provided on request to authors. Format: csv, SAS, and R files. 

This dataset is associated with the following publication:
Cowan, K., A. Krajewski, M. Jimenez, T. Luben, L. Messer, and K. Rappazzo. Examining modification of the associations between air pollution and birth outcomes by neighborhood deprivation in a North Carolina birth cohort, 2011-2015.   Frontiers in Reproductive Health. Frontiers, Lausanne,  SWITZERLAND, 6(July): 1304749, (2024).

Tags: birth-outcomes, childrens-environmental-health, epidemiology, neighborhood-deprivation, nitrogen-and-co-pollutants, particulate-matter-pm
Organization: U.S. Environmental Protection Agency
Lung Cell Toxicological Effects of 3D Printer Aerosolized Filament Byproducts

Results from toxicity assays using emission data during 3D prining process. 

This dataset is associated with the following publication:
Beard, J.M., B.M. Royer, J.M. Hesita, P. Byrley, A. Lewis, J. Hadynski, J. Matheson, S.R. Al-Abed, and C.M. Sayes. Lung cell toxicological effects of 3D printer aerosolized filament byproducts.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY, 32: 5078-5090, (2025).

Tags: abs, cytotoxicity, glutathione, particulate-matter, volatile-organic-compounds
Organization: U.S. Environmental Protection Agency
Mobilization of porewater Pb and Zn in response to seasonal flooding within contaminated wetlands v.1.0

The dataset contains the data that was used to generate the tables and figures in the publication of the same name. 

This dataset is associated with the following publication:
Wade, A.M., C.S. Eckley, M. Noerpel, J. Goetz, D. Leptich, K. Prestbo, D. Van de Riet, S. Sluka, R. Wilkin, and T.P. Luxton. Mobilization of porewater Pb and Zn in response to seasonal wetting and drying within contaminated floodplains.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 958: 178053, (2025).

Tags: lead, pore-water, redox, sediments, zinc
Organization: U.S. Environmental Protection Agency
Datasets for manuscript "Designing Cost-Effective Supply Chains for Plastics at the End-of-Life"

The file "Read-ME data & P-graph instructions 03-12-24 .docx" describes the step-by-step process to collect Information (for new models), prepare functional units/operations (for new models), modify existing model, use the P-Graph software, verify process units and flow values, extract supply chain structural solutions, and perform cost assessments to each structural solution.
The file "File_plastics_2901_JP.zip" contains the P-Graph software file "File_plastics_2901_JP.pgsx" to generate all feasible plastic end-of-life supply chain structural solutions for the case study as shown in Figure 6. Figure 7 depicts selected cost-effective pathways derived from the P-graph model with the (a) lowest (647,303 EUR/y) and (b) highest (698,440 EUR/y) annualized costs.
The file "Cost Calculation- Operational Capacity -1801.xlsx" has all cost parameters, equipment specifications, and location information needed to run the P-Graph plastic end-of-life supply chain case study.
The file "Figure 8 - Datapoints_results_of_File_plastics_2901_JP_pgsx.xlsx" contains all total recycling costs for the most cost-effective 100 solutions generated by the P-graph model shown in Figure 8.
Figures 1 and 5 can be obtained from the cited public domain repositories. 

This dataset is associated with the following publication:
Kumar, B., J. Pimentel, N.A. Cano-Londono, G.J. Ruiz-Mercado, C.T. Deak, and H. Cabezas. Designing cost-effective supply chains for plastics at the end-of-life.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 501: 145227, (2025).

Tags: end-of-life, p-graph-supply-chain-design, plastic-recycling, recycling-economics, sustainable-materials-management
Organization: U.S. Environmental Protection Agency
Metadata Entry for "A population ecology- quantitative microbial risk assessment (QMRA) model for antibiotic-susceptible and antibiotic-resistant E. coli health risk in recreational water"

Metadata Entry for "A population ecology- quantitative microbial risk assessment (QMRA) model for antibiotic-susceptible and antibiotic-resistant E. coli health risk in recreational water".  Please contact the corresponding author to request the associated data. This dataset is not publicly accessible because: The data is non-EPA generated. It can be accessed through the following means: Please contact the corresponding author Kerry Hamilton at kerry.hamilton@asu.edu to request the data. Format: XLSX and/or CSV files. 

This dataset is associated with the following publication:
Heida, A., M. Hamilton, J. Gambino, K. Sanderson, M. Schoen, M. Jahne, J. Garland, L. Ramirez, H. Quon, A. Lopatkin, and K. Hamilton. Population Ecology-Quantitative Microbial Risk Assessment (QMRA)Model for Antibiotic-Resistant and Susceptible E. coli in Recreational Water.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 59(9): 4266-4281, (2025).

Tags: antibiotic-resistance, conjugation, qmra, recreational-water, sewage, urinary-tract-infection
Organization: U.S. Environmental Protection Agency
Dataset: Spill Treating Agents and Oil Biodegradation, Lech 2025

EPA generated data for Lech et al. publication in Appl Environ Microbiol titled, "Oil Spill Surface Washing Agents and Chemical Herders Drive Microbial Community Structure Impacting Biodegradation"

Tags: biodegradation, ncp-product-schedule, oil-spill, spill-treating-agents
Organization: U.S. Environmental Protection Agency
State Library Administrative Agencies Survey: Fiscal Year 2020

Data Files – CSV (151 KB), SAS (1.04 MB), SPSS (393 KB); Documentation (PDF, 2.3 MB); Reports – SLAA Adaptations in the Initial Months of COVID-19 (May 2022) and Roles and Functions of SLAAs; 2000 and 2020 (Nov 2021).

Tags: 2020, imls, library-data, slaa
Organization: Institute of Museum and Library Services
Early Head Start Research and Evaluation (EHSRE) Study, 1996-2010

The Early Head Start Research and Evaluation (EHSRE) Study was conducted by Mathematica Policy Research (MPR) and included five major components: (1) an implementation study; (2) an impact evaluation, using an experimental design; (3) local research studies to learn about pathways to desired outcomes; (4) policy studies to respond to information needs in areas of emerging policy-relevant issues; and (5) continuous program improvement. The study involved 3,001 children and families in 17 sites representing a range of program models, racial/ethnic makeup, urban-rural location, program auspice, and program experience in serving infants and toddlers. Three phases comprise the collection: Birth to Three ("0-3"), Pre-Kindergarten ("PreK") Follow-up and the Elementary School ("G5") Follow-up. 

The Early Head Start findings are based on a mixture of direct child assessments, observations of children's behavior by in-person interviewers, ratings of videotaped parent-child interactions in standardized ways, ratings of children's behaviors by their parents, and parents' self-reports of their own behaviors, attitudes, and circumstances. Data in this collection were constructed by the Mathematica Policy Research (MPR) researchers for use in their analyses. Very few of the original source variables are present in this public-use file.

<b>Units of Response: </b>Early Head Start children and families

<b>Type of Data: </b>Evaluation

<b>Tribal Data: </b>No

<b>Periodicity: </b>Irregular

<b>Demographic Indicators: </b>Ethnicity;Household Income;Household Size;Race

<b>SORN: </b>https://www.federalregister.gov/documents/2018/02/14/2018-03014/privacy-act-of-1974-system-of-records

<b>Data Use Agreement: </b>Unavailable

<b>Data Use Agreement Location: </b>https://www.icpsr.umich.edu/web/ICPSR/studies/3804/datadocumentation

<b>Granularity: </b>Household;Individual

<b>Spatial: </b>United States

<b>Geocoding: </b>Unavailable

Tags: child-care, children-and-families, head-start, research-and-evaluation
Organization: U.S. Department of Health & Human Services
HHS Data Governance Board Membership

The purpose of the U.S. Department of Health & Human Services (HHS) Data Governance Board (DGB) is to serve as the Department’s principal data governance forum and decision-making body for managing HHS’ data as a strategic asset and to support HHS in meeting its mission and agency priorities, including implementation of the Evidence Act.

The HHS DGB currently meets <b>monthly</b> to support these activities.

This dataset serves to communicate to the public the members of the HHS DGB, as required by the Federal Data Strategy.

Tags: cdo
Organization: U.S. Department of Health & Human Services
COVID-19 Estimated Patient Impact and Hospital Capacity by State

<p><b>Deprecated report</b>. This report was created early in the response to the COVID-19 pandemic. Increased reporting and quality in hospital data have rendered the estimated datasets obsolete. </p>

<p>The following dataset provides state-aggregated data for <b>estimated patient impact and hospital utilization</b>.</p>
<p>The source data for estimation is derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities.</p>
<p>Estimates Basis: These files are representative estimates for each state and are updated weekly. These projections are based on the information we have from those who reported. As more hospitals report more frequently our projections become more accurate. The actual data for these data points are updated every day, once a day on healthdata.gov and these are the downloadable data sets.</p>

Tags: covid, covid-19, covid19, hhs-covid-19
Organization: U.S. Department of Health & Human Services
National Child Abuse and Neglect Data System (NCANDS) Child File: Findings from the National Child Abuse and Neglect Data System (NCANDS) - Data tables (from Child Maltreatment 2018)

<p>The National Child Abuse and Neglect Data System (NCANDS) Child File data set consists of child-specific data of all reports of maltreatment to State child protective service agencies that received an investigation or assessment response. NCANDS is a Federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. The Child File is the case-level component of the NCANDS. Child File data are collected annually through the voluntary participation of States. Participating States submit their data after going through a process in which the State's administrative system is mapped to the NCANDS data structure.  Data elements include the demographics of children and their perpetrators, types of maltreatment, investigation or assessment dispositions, risk factors, and services provided as a result of the investigation or assessment.</p>

Tags: child-abuse, child-maltreatment, child-safety, children, childrens-health, safety
Organization: U.S. Department of Health & Human Services
American Indian and Alaska Native Head Start Family and Child Experiences Survey 2019 (AIAN FACES 2019)

AIAN FACES 2019 sought to (1) describe the strengths and needs of all children in Region XI, (2) provide an accurate picture of all children and families who participate in Region XI (AIAN and non-AIAN), and (3) understand the cultural and linguistic experiences of Native children and families in Region XI AIAN Head Start.

<b>Units of Response: </b>Head Start Programs, Head Start Classroom/Teacher, Head Start Children, Head Start Families, Head Start Centers

<b>Type of Data: </b>Evaluation

<b>Tribal Data: </b>Yes

<b>Periodicity: </b>One-time

<b>Demographic Indicators: </b>Disability;Ethnicity;Household Income;Household Size;Housing Status;Indigenous Population;Race;Sex

<b>SORN: </b>https://www.federalregister.gov/documents/2022/09/19/2022-20139/privacy-act-of-1974-system-of-records

<b>Data Use Agreement: </b>Yes

<b>Data Use Agreement Location: </b>https://www.childandfamilydataarchive.org/cfda/archives/cfda/studies/38028/datadocumentation

<b>Granularity: </b>Classroom;Family;Individual;Region

<b>Spatial: </b>United States

<b>Geocoding: </b>Unavailable

Tags: head-start
Organization: U.S. Department of Health & Human Services
Blog | COVID-19 TOPx Tech Sprint Begins with Design-a-thon Teams — Join us!

This blog post was posted by Kevin Duvall on January 19, 2021. It was written by Kristen Honey, Chief Data Scientist and Senior Advisor to the Assistant Secretary for Health (ASH), U.S. Department of Health and Human Services (HHS); Alex Wilson, IT Specialist, Office of the Assistant Secretary for Health (OASH), HHS; and Sara Brenner, Diagnostic Data Lead, Data Strategy and Execution Workgroup, HHS; Chief Medical Officer for In Vitro Diagnostics, Associate Director for Medical Affairs, CDRH, U.S. Food & Drug Administration (FDA).

Tags: blog, covid, covid-19, topx
Organization: U.S. Department of Health & Human Services
Child Care Licensing Study, 2008

The purpose of the 2008 Child Care Licensing Study is to report two aspects of child care licensing from 2008 for all 50 states and the District of Columbia (not including Idaho): (1) state child care licensing programs and policies and (2) child care center and family child care home licensing regulations. The study focuses on the processes and policies in each state related to staffing for the licensing program, monitoring facilities, and enforcement of licensing regulations. 

To collect information on states' licensing policies, including staffing, monitoring, and enforcement of licensing regulations, the National Association for Regulatory Administration (NARA) disseminated the 2008 NARA Child Care Licensing Program Survey to all state child care licensing agencies in May 2009. Responses were received from all states. The survey focused on the processes and policies in each state related to staffing for the licensing program, monitoring facilities, and enforcement of licensing regulations.  

<b>Units of Response: </b>State 

<b>Type of Data: </b>Survey 

<b>Tribal Data: </b>No 

<b>Periodicity: </b>One-time  

<b>Demographic Indicators: </b>Not Applicable

<b>SORN: </b> https://www.federalregister.gov/documents/2022/01/24/2022-01066/privacy-act-of-1974-system-of-records 

<b>Data Use Agreement: </b>Unavailable 

<b>Data Use Agreement Location: </b> Not Applicable 

<b>Granularity: </b>State 

<b>Spatial: </b>United States 

<b>Geocoding: </b>Unavailable

Tags: child-care
Organization: U.S. Department of Health & Human Services
National Youth in Transition Database - Outcomes Survey

States report information from two reporting populations: (1) The Served Population which is information on all youth receiving at least one independent living services paid or provided by the Chafee Program agency, and (2) Youth completing the NYTD Survey.  States  survey youth regarding six outcomes: financial self-sufficiency, experience with homelessness, educational attainment, positive connections with adults, high-risk behaviors, and access to health insurance. States collect outcomes information by conducting a survey of youth in foster care on or around their 17th birthday, also referred to as the baseline population. States will track these youth as they age and conduct a new outcome survey on or around the youth's 19th birthday; and again on or around the youth's 21st birthday, also referred to as the follow-up population. States will collect outcomes information on these older youth at ages 19 or 21 regardless of their foster care status or whether they are still receiving independent living services from the State. Depending on the size of the State's foster care youth population, some States may conduct a random sample of the baseline population of the 17-year-olds that participate in the outcomes survey so that they can follow a smaller group of youth as they age. All States will collect and report outcome information on a new baseline population cohort every three years.

<b>Units of Response: </b>Current and former youth in foster care

<b>Type of Data: </b>Survey

<b>Tribal Data: </b>No

<b>Periodicity: </b>Annual

<b>Demographic Indicators: </b>Ethnicity;Race;Sex

<b>SORN: </b>Not Applicable

<b>Data Use Agreement: </b>https://www.ndacan.acf.hhs.gov/datasets/request-dataset.cfm

<b>Data Use Agreement Location: </b>https://www.ndacan.acf.hhs.gov/datasets/order_forms/termsofuseagreement.pdf

<b>Granularity: </b>Individual

<b>Spatial: </b>United States

<b>Geocoding: </b>State

Tags: foster-care-and-adoption
Organization: U.S. Department of Health & Human Services
National Child Abuse and Neglect Data System (NCANDS) Child File: Findings from the National Child Abuse and Neglect Data System (NCANDS) - Data Tables (From Child Maltreatment 2017)

<p>The National Child Abuse and Neglect Data System (NCANDS) Child File data set consists of child-specific data of all reports of maltreatment to State child protective service agencies that received an investigation or assessment response. NCANDS is a Federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. The Child File is the case-level component of the NCANDS. Child File data are collected annually through the voluntary participation of States. Participating States submit their data after going through a process in which the State's administrative system is mapped to the NCANDS data structure.  Data elements include the demographics of children and their perpetrators, types of maltreatment, investigation or assessment dispositions, risk factors, and services provided as a result of the investigation or assessment.</p>

Tags: child-abuse, child-maltreatment, child-safety, children, childrens-health, safety
Organization: U.S. Department of Health & Human Services
Blog | FDA Launches precisionFDA to Harness the Power of Scientific Collaboration

This blog post was posted by by Taha A. Kass-Hout, M.D., M.S. on December 15, 2015. It was written by Taha A. Kass-Hout, M.D., M.S. and Elaine Johanson

Tags: blog, precision-medicine, precisionfda
Organization: U.S. Department of Health & Human Services
Office of Child Support Enforcement Annual Report to Congress Data Tables

The data tables from the OCSE Annual Report to Congress highlights financial and statistical child support achievements based on data reported by state and tribal child support agencies. 

<b>Units of Response: </b>States 

<b>Type of Data: </b>Administrative 

<b>Tribal Data: </b>No 

<b>Periodicity: </b>Annual 

<b>Demographic Indicators: </b>Unavailable

<b>SORN: </b> https://www.federalregister.gov/documents/2015/04/02/2015-07440/privacy-act-of-1974-system-of-records-notice 

<b>Data Use Agreement: </b>No 

<b>Data Use Agreement Location: </b>Unavailable 

<b>Granularity: </b>State 

<b>Spatial: </b>United States 

<b>Geocoding: </b>State

Tags: child-support-services, family-assistance
Organization: U.S. Department of Health & Human Services
National Child Abuse and Neglect Data System (NCANDS) Child File: Findings from the National Child Abuse and Neglect Data System (NCANDS) – File Contents and Definitions for the Data Tables (From Child Maltreatment 2017)

<p>The National Child Abuse and Neglect Data System (NCANDS) Child File data set consists of child-specific data of all reports of maltreatment to State child protective service agencies that received an investigation or assessment response. NCANDS is a Federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. The Child File is the case-level component of the NCANDS. Child File data are collected annually through the voluntary participation of States. Participating States submit their data after going through a process in which the State's administrative system is mapped to the NCANDS data structure.  Data elements include the demographics of children and their perpetrators, types of maltreatment, investigation or assessment dispositions, risk factors, and services provided as a result of the investigation or assessment.</p>

Tags: child-abuse, child-maltreatment, child-safety, children, childrens-health, safety
Organization: U.S. Department of Health & Human Services
Blog | OpenFDA Makes Medical Device-Related Data Easier to Access and Use

This blog post was posted on September 4, 2015 and written by Taha Kass-Hout, M.D., M.S., Roselie A. Bright, Sc.D., M.S., P.M.P. and Ann Ferriter. It is a cross post from FDA Voice.

Tags: blog, fda, medical-device-registry, open-data
Organization: U.S. Department of Health & Human Services
Blog | Project Tycho: Unlocking 125 Years of Data

This blog was posted by Dr. Donald Burke on November 27, 2013 
It was written by Donald S. Burke, MD., Dean of the University of Pittsburgh Graduate School of Public Health, UPMC-Jonas Salk Chair in Global Health, Associate Vice Chancellor for Global Health, Director of the Center for Vaccine Research, and Distinguished University Professor of Health Science and Policy  &
Wilbert Van Panhuis, MD, PhD: Lead Investigator of Project Tycho, and Assistant Professor of Epidemiology

Tags: blog
Organization: U.S. Department of Health & Human Services
Child Care Licensing Study, 2011

The purpose of the 2011 Child Care Licensing Study is to report two aspects of child care licensing from 2011 for all 50 states and the District of Columbia (not including Idaho): (1) state child care licensing programs and policies and (2) child care center and family child care home licensing regulations. The study focuses on the processes and policies in each state related to staffing for the licensing program, monitoring facilities, and enforcement of licensing regulations. 

To collect information on states' licensing policies, including staffing, monitoring, and enforcement of licensing regulations, the National Association for Regulatory Administration (NARA) disseminated the 2011 NARA Child Care Licensing Program Survey to all state child care licensing agencies in May 2012. Responses were received from all states. The survey focused on the processes and policies in each state related to staffing for the licensing program, monitoring facilities, and enforcement of licensing regulations. 

<b>Units of Response: </b>State 

<b>Type of Data: </b>Survey 

<b>Tribal Data: </b>No 

<b>Periodicity: </b>One-time

<b>Demographic Indicators: </b>Not Applicable  

<b>SORN: </b> https://www.federalregister.gov/documents/2022/01/24/2022-01066/privacy-act-of-1974-system-of-records 

<b>Data Use Agreement: </b>Unavailable 

<b>Data Use Agreement Location: </b> Not Applicable 

<b>Granularity: </b>State 

<b>Spatial: </b>United States 

<b>Geocoding: </b>Unavailable

Tags: child-care
Organization: U.S. Department of Health & Human Services