AndreaBozzo/ceres-open-data-index huggingface dataset:
Tax Districts Data Dictionary

<span style='font-family: &quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size: 17px; background-color: rgb(255, 255, 255);'>An in-depth description of the various Tax District GIS data layers outlining terms of use, update frequency, attribute explanations, and more. District data layers include: </span><font face='Avenir Next W01, Avenir Next W00, Avenir Next, Avenir, Helvetica Neue, Helvetica, Arial, sans-serif'><span style='font-size: 17px;'>Community College, Elementary Schools, Fire Protection Districts, Municipal Fire Departments, Fox Waterway, High Schools, Joint Action Water Agency, Library Districts, Municipal Boundaries, Park Districts, Sanitary Districts, and Special Service Areas.</span></font>

Tags: community-college, data-dictionary, elementary-schools, fire-protection-districts, fox-waterway, high-schools, joint-action-water-agency, lake-county-illinois, library-districts, municipal-boundaries, municipal-fire-departments, park-districts, readme, sanitary-districts, special-service-areas, tax-districts
Organization: Lake County, Illinois
Advanced Identification Wetlands Data Dictionary

<span style='font-family: &quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size: 17px; background-color: rgb(255, 255, 255);'>An in-depth description of the ADID (Advanced Identification) Wetlands GIS data layer outlining terms of use, update frequency, attribute explanations, and more.</span>

Tags: adid, advanced-identification-wetlands, data-dictionary, lake-county-illinois, readme
Organization: Lake County, Illinois
SSA Disability Claim Data

The dataset includes fiscal year data for initial claims for SSA disability benefits that were referred to a state agency for a disability determination. Specific data elements for each year and state include receipts, determinations, eligible population, and favorable determination rates.

Tags: 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, allowance-rate, allowances, beneficiary-population, dds, decisions, determinations, disability, eligible-population, favorable-determination, filing-rate, initial-disability-claim, receipts, social-security, social-security-administration, ssa, state-agency
Organization: Social Security Administration
Mucus and Iron Figures

The data sets are for the figures in the manuscript. 

This dataset is associated with the following publication:
Ghio, A., J. Soukup, L. Dailey, and V. Roggli. Mucus increases cell iron uptake to impact the release of pro-inflammatory mediators after particle exposure.   Scientific Reports. Nature Publishing Group, London,  UK, 13(1): 3925, (2023).

Tags: air-pollution, iron, lung-disease, mucus, silica
Organization: U.S. Environmental Protection Agency
CRSI Data

Cumulative Resilience Screening Tool data. 

This dataset is associated with the following publication:
Summers, J., A. Lamper, C. Mcmillion, and L. Harwell. Observational Verification of the Cumulative Resilience Screening Index (CRSI) Using Hurricanes, Inland Floods, and Wildfires From 2016 to 2019.   GeoHealth. American Geophysical Union, Washington, DC, USA, 6(10): e2022GH000660, (2022).

Tags: ecology, flooding, indicators-and-indices, modeling
Organization: U.S. Environmental Protection Agency
LEGO Diorama Images

We often create dioramas from LEGO bricks for use with our presentations, blogs, and social media posts. We find it's much more fun and effective to reenact meetings and other scenes than to try and use real-life images.  It also saves us from the hassle of worrying about receiving permission to use a person's photo in our work. By popular demand, we have released some of our favorite images as open data for you to use.

Tags: brick, diorama, lego, meeting, minifigure, photo, re-enactment, reenactment, scene, weird
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
1984 Community Profiles: A Descriptive Picture of Communities in Allegheny County

This compilation includes 8 historical datasets, part of the collection of the Pittsburgh University Library System. Prepared by the Health and Welfare Planning Association, and funded by the Richard King Melon Foundation, the profiles were intended to inform the people, organizations and businesses of Allegheny County about the characteristics of the communities in which they lived, worked and played so they could make better decisions.

Tags: 1984, community-profiles, employment, households, housing-units, income, pittsburgh, population
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Hospitals

The data on health care facilities includes the name and location of all the hospitals and primary care facilities in Allegheny County. The current listing of hospitals and primary care facilities is managed by the Allegheny County Health Department and is used in internal reporting and shared for public use.

Tags: achd-dash, health-facility, hospitals, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Hypertension

These datasets provide de-identified insurance data for hypertension hyperlipidemia. The data is provided by three managed care organizations in Allegheny County (Gateway Health Plan, Highmark Health, and UPMC) and represents their insured population for the 2015 and 2016 calendar years.

Disclaimer: Users should be cautious of using administrative claims data as a measure of disease prevalence and interpreting trends over time, as data provided were collected for purposes other than surveillance.  Limitations of these data include but are not limited to: misclassification, duplicate individuals, exclusion of individuals who did not seek care in past two years and those who are: uninsured, enrolled in plans not represented in the dataset, or were not enrolled in one of the represented plans for at least 90 days.

Tags: achd-dash, blood-pressure, cardiovascular-disease, hypertension, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Hyperlipidemia

These datasets provide de-identified insurance data for hyperlipidemia. The data is provided by three managed care organizations in Allegheny County (Gateway Health Plan, Highmark Health, and UPMC) and represents their insured population for the 2015 and 2016 calendar years.

Disclaimer: Users should be cautious of using administrative claims data as a measure of disease prevalence and interpreting trends over time, as data provided were collected for purposes other than surveillance.  Limitations of these data include but are not limited to: misclassification, duplicate individuals, exclusion of individuals who did not seek care in past two years and those who are: uninsured, enrolled in plans not represented in the dataset, or were not enrolled in one of the represented plans for at least 90 days.

Tags: achd-dash, cardiovascular-disease, hyperlipidemia, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Diabetes & Hypertension & Hyperlipidemia comorbidity

This data set provides de-identified population data for diabetes & hypertension & hyperlipidemia comorbidity prevelance. The data is provided by three managed care organizations in Allegheny County (Gateway Health Plan, Highmark Health, and UPMC) and represents their insured population for the 2015 and 2016 calendar years.

Disclaimer: Users should be cautious of using administrative claims data as a measure of disease prevalence and interpreting trends over time, as data provided were collected for purposes other than surveillance.  Limitations of these data include but are not limited to: misclassification, duplicate individuals, exclusion of individuals who did not seek care in past two years and those who are: uninsured, enrolled in plans not represented in the dataset, or were not enrolled in one of the represented plans for at least 90 days.

Tags: achd-dash, cardiovascular-disease, diabetes, hyperlipidemia, hypertension, social-determinants-of-health, type-2-diabetes-mellitus
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Diabetes + Hypertension (comorbidity)

This data set provides de-identified population data for diabetes and hypertension comorbidity prevalence in Allegheny County. The data is provided by three managed care organizations in Allegheny County (Gateway Health Plan, Highmark Health, and UPMC) and represents their insured population for the 2015 and 2016 calendar years.

Disclaimer: Users should be cautious of using administrative claims data as a measure of disease prevalence and interpreting trends over time, as data provided were collected for purposes other than surveillance.  Limitations of these data include but are not limited to: misclassification, duplicate individuals, exclusion of individuals who did not seek care in past two years and those who are: uninsured, enrolled in plans not represented in the dataset, or were not enrolled in one of the represented plans for at least 90 days.

Tags: achd-dash, blood-pressure, comorbidity, diabetes, hypertension, social-determinants-of-health, type-2-diabetes-mellitus
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Diabetes

These datasets provide de-identified insurance data for diabetes. The data is provided by three managed care organizations in Allegheny County (Gateway Health Plan, Highmark Health, and UPMC) and represents their insured population for the 2015 and calendar years.

Disclaimer: Users should be cautious of using administrative claims data as a measure of disease prevalence and interpreting trends over time, as data provided were collected for purposes other than surveillance.  Limitations of these data include but are not limited to: misclassification, duplicate individuals, exclusion of individuals who did not seek care in past two years and those who are: uninsured, enrolled in plans not represented in the dataset, or were not enrolled in one of the represented plans for at least 90 days.

Tags: achd-dash, cardiovascular-disease, diabetes, social-determinants-of-health, type-2-diabetes-mellitus
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Hypertension + Hyperlipidemia comorbidity

This data set provides de-identified population data for Hypertension and Hyperlipidemia comorbidity prevalence.  The data is provided by three managed care organizations in Allegheny County (Gateway Health Plan, Highmark Health, and UPMC) and represents their insured population for the 2015 and 2016 calendar years.

Disclaimer: Users should be cautious of using administrative claims data as a measure of disease prevalence and interpreting trends over time, as data provided were collected for purposes other than surveillance.  Limitations of these data include but are not limited to: misclassification, duplicate individuals, exclusion of individuals who did not seek care in past two years and those who are: uninsured, enrolled in plans not represented in the dataset, or were not enrolled in one of the represented plans for at least 90 days.

Tags: achd-dash, blood-pressure, cardiovascular-disease, hyperlipidemia, hypertension, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Diabetes + Hyperlipidemia (comorbidity)

This data set provides de-identified population data for diabetes and hyperlipidemia comorbidity prevalence.  The data is provided by three managed care organizations in Allegheny County (Gateway Health Plan, Highmark Health, and UPMC) and represents their insured population for the 2015 and 2016 calendar years.

Disclaimer: Users should be cautious of using administrative claims data as a measure of disease prevalence and interpreting trends over time, as data provided were collected for purposes other than surveillance.  Limitations of these data include but are not limited to: misclassification, duplicate individuals, exclusion of individuals who did not seek care in past two years and those who are: uninsured, enrolled in plans not represented in the dataset, or were not enrolled in one of the represented plans for at least 90 days.

Tags: achd-dash, cardiovascular-disease, diabetes, hyperlipidemia, social-determinants-of-health, type-2-diabetes-mellitus
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Anxiety Medication

These Census Tract-level datasets described here provide de-identified diagnosis data for customers of three managed care organizations in Allegheny County (Gateway Health Plan, Highmark Health, and UPMC) that have filed a claim for anxiety medications in 2015 and 2016. The data also includes the number of enrolled members in the three participating managed care organizations in 2015 and 2016.

Disclaimer: Users should be cautious of using administrative claims data as a measure of disease prevalence and interpreting trends over time, as data provided were collected for purposes other than surveillance.  Limitations of these data include but are not limited to: misclassification, duplicate individuals, exclusion of individuals who did not seek care in past two years and those who are: uninsured, enrolled in plans not represented in the dataset, or were not enrolled in one of the represented plans for at least 90 days.

Tags: achd, achd-dash, anxiety, anxiety-medication, dash, depression, health, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Depression Medication

These Census Tract-level datasets described here provide de-identified diagnosis data for customers of three managed care organizations in Allegheny County (Gateway Health Plan, Highmark Health, and UPMC) that have filed a claim for  depression medications in 2015 and 2016. The data also includes the number of enrolled members in the three participating managed care organizations in 2015 and 2016.

Disclaimer: Users should be cautious of using administrative claims data as a measure of disease prevalence and interpreting trends over time, as data provided were collected for purposes other than surveillance. Limitations of these data include but are not limited to: misclassification, duplicate individuals, exclusion of individuals who did not seek care in past two years and those who are: uninsured, enrolled in plans not represented in the dataset, or were not enrolled in one of the represented plans for at least 90 days.

Tags: achd-dash, depression, depression-medication, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Older Housing

Older housing can impact the quality of the occupant's health in a number of ways, including lead exposure, housing quality, and factors that may exacerbate respiratory conditions, like asthma. Data from the U.S. Census Bureau contains Census Tract estimates of housing age, and Allegheny County assessment data provides parcel-level information on the year residential properties were built.

Tags: achd-dash, housing, housing-age, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Median Age at Death

The median age at death is calculated for each municipality in Allegheny County. Data is based on the decedent's residence at the time of death, not the location where the death occurred. Median age by municipality is based on “official” death records that have been released by the Pennsylvania Department of Health. Data is broken out by race (white/black), and also includes a count of deaths for City of Pittsburgh neighborhoods and Allegheny County Municipalities.

Tags: achd-dash, death, median-age, mortality, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Primary Care Access

The data on health care facilities includes the name and location of all the hospitals and primary care facilities in Allegheny County. The current listing of hospitals and primary care facilities is managed by the Allegheny County Health Department and is used in internal reporting and shared for public use.

Tags: achd-dash, primary-care-access, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Tobacco Vendors

The tobacco vendor information provides the location of all tobacco vendors in Allegheny County in 2015. Data was compiled from administrative records managed by the Pennsylvania Department of Revenue.

Tags: achd-dash, chewing-tobacco, cigar, cigarettes, cigars, health, smoke, smoking, snuff, social-determinants-of-health, tobacco, tobacco-vendors
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Traffic Counts

Traffic sensors at over 1,200 locations in Allegheny County collect vehicle counts for the Pennsylvania Department of Transportation.  Data included in the Health Department's DASH project includes hourly averages and average daily counts. The data was collected from years 2012-2014 and compiled by Carnegie Mellon University’s Traffic21 Institute.

Tags: achd-dash, sensors, social-determinants-of-health, traffic, traffic-count, transportation
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Fast Food Establishments

The Allegheny County Health Department has generated this list of fast food restaurants by exporting all chain restaurants without an alcohol permit from the County’s Fee and Permit System. A chain restaurant defined by the County is any restaurant that has more than one location in the County. Chain restaurants capture both local and national chains (including locally owned national chains) so long as there is one or more establishments in operation within the County.

Tags: achd-dash, fast-food, fee-and-permit, restaurant, take-out
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Environmental Justice Areas

Environmental Justice areas in this guide have been defined by the Pennsylvania Department of Environmental Protection. The Department defines an environmental justice area as any census tract where at least 20 percent of the population lives in poverty, and/or 30 percent or more of the population is minority.

Tags: achd-dash, environmental-justice, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Walk Scores

Walk Score measures the walkability of any address using a patented system developed by the Walk Score company. For each 2010 Census Tract centroid, Walk Score analyzed walking routes to nearby amenities. Points are awarded based on the distance to amenities in each category. Amenities within a 5 minute walk (.25 miles) are given maximum points. A decay function is used to give points to more distant amenities, with no points given after a 30 minute walk.
Walk Score also measures pedestrian friendliness by analyzing population density and road metrics such as block length and intersection density. Data sources include Google, Education.com, Open Street Map, the U.S. Census, Localeze, and places added by the Walk Score user community.

Tags: achd-dash, social-determinants-of-health, walk-score, walkability
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Particulate Matter 2.5

The U.S. Environmental Protection Agency provides information on the particulate matter concentration for Allegheny County that have a diameter greater or equal to 2.5 mm. The data is based on a combination of 2012 model and monitor data reported by the U.S. Environmental Protection Agency’s Office of Air and Radiation. The data represents the mean PM 2.5 measurement in micrograms per cubic meter for each census tract in Allegheny County. This data was obtained from the U.S. Department of Environmental Protection’s Environmental Justice Screen tool.

Tags: achd-dash, air, air-pollution, air-quality, particulate-matter, pm-2-5, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Housing Tenure

Home ownership provides a number of financial, social, and health benefits to American families. Especially in areas with housing price appreciation, home ownership is a wealth building mechanism and homeowners are also eligible to receive substantial federal and local tax benefits. Owning a home also provides families with increased residential stability, which can translate into improved school performance for children. The financial stake owners have in their neighborhood also is viewed as something that spurs them to become more-engaged in their community, and there is some research that has found that home ownership also can translate to improved health. The National Association of Realtors has compiled a summary of research related to the benefits of home ownership.

Tags: achd-dash, homeownership, mortgage, owner, owner-occupied, rental, renter, renter-occupied, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Poor Housing Conditions

This estimate of the percent of distressed housing units in each Census Tract was prepared using data from the American Community Survey and the Allegheny County Property Assessment database. The estimate was produced by the Reinvestment Fund in their work with the Allegheny County Department of Economic Development.

Tags: achd-dash, housing, parcel, parcel-information, property-condition, real-estate, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Obesity Rates

Obesity rates for each Census Tract in Allegheny County were produced for the study “Developing small-area predictions for smoking and obesity prevalence in the United States." The data is not explicitly based on population surveys or data collection conducted in Allegheny County, but rather estimated using statistical modeling techniques. In this technique, researchers applied the obesity rate of a demographically similar census tract to one in Allegheny County to compute an obesity rate.

Tags: achd-dash, obesity, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center
Allegheny County Smoking Rates

Smoking rates for each Census Tract in Allegheny County were produced for the study “Developing small-area predictions for smoking and obesity prevalence in the United States.” The data is not explicitly based on population surveys or data collection conducted in Allegheny County, but rather estimated using statistical modeling techniques. In this technique, researchers applied the smoking rate of a demographically similar Census Tract to one in Allegheny County to compute a smoking rate.

Tags: achd-dash, smoking-rates, social-determinants-of-health
Organization: Allegheny County / City of Pittsburgh / Western PA Regional Data Center