Data from the Pittsburgh Open Space Plan - Transition Map

PGH Open City Council Districts

Pittsburgh City Boundary

This is a connection to the Western Pennsylvania Regional Data Center in Pittsburgh, to the Pennsylvania Open Data Portal. The Western Pennsylvania Regional Data Center provides a shared technological and legal infrastructure to support research, analysis, decision making, and community engagement. It was created in 2015 and is managed by the University of Pittsburgh Center for Urban and Social Research, in partnership with Allegheny County and the City of Pittsburgh. The Data Center would not be possible without the trust of our partners and support from the Richard King Mellon Foundation, The Heinz Endowments, and the University of Pittsburgh.

The University Center has long served as a community information intermediary in Allegheny County. Information intermediaries help people find and use information to improve their communities. The Data Center is one in a long line of initiatives of the University Center in this intermediary role. From 2005-2014, the Center operated the Pittsburgh Neighborhood and Community Information System, is home to the Pittsburgh Today regional indicators initiative, and recently launched the Southwestern Pennsylvania Community Profiles community indicators project.

Over time, the University Center realized that the broader use of data in the region was inhibited by the lack of a legal infrastructure, technologies that did not support the dissemination of raw data, incomplete data documentation, and a lack of capacity for managing information in a fragmented political environment. The Data Center provides this infrastructure while institutionalizing the role of a data intermediary within a regional open data infrastructure. In 2013 and 2014, we wrote about our early open data experiences in a two part series (part one, part two).

We are often asked by people in other cities to talk more about the Regional Data Center. We’re happy to do so, and we find that everyone gets the most out of these conversations by first reviewing our document containing lots of background information about the project.

We are a proud partner in the National Neighborhood Indicators Partnership.

Create your own initiative by combining existing applications with a custom site. Use this initiative to form teams around a problem and invite your community to participate.

NARSTO_EPA_SS_PITTSBURGH_PM_COMPOSITION_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Pittsburgh Particulate Matter (PM) Composition Data. It was obtained between June 30 and September 1, 2001 during the Pittsburgh Air Quality Study (PAQS). The data set provides PM Composition Data of the following types:1) PM2.5 nitrate and PM2.5 sulfate.2) Semi-Continuous Organic and Elemental Carbon Measurements.3) Air concentrations of water soluble PM2.5 aerosol species and water soluble gases, as measured with the CMU steam sampler - IC combination.4) Manual filter-based PM2.5 element measurements from microwave decomposition of filters followed by Inductively Coupled Plasma Mass Spectrometer analysis.5) Manual filter-based PM10 element measurements from microwave decomposition of filters and Inductively Coupled Plasma Mass Spectrometer analysis.6) Manual filter-based PM2.5 inorganic composition with analysis performed using ion chromatography.7) Manual filter-based PM2.5 organic and elemental carbon measurements with analysis performed using a Thermal Optical Transmission carbon analyzer.8) Measurements of PM composition size distributions using a MOUDI cascade impactor.9) PM2.5 organic and elemental carbon concentrations from an activated carbon denuder/quartz filter/charcoal impregnated fiber filter backup combination. Quartz filters analyzed using a Thermal/Optical transmittance carbon analyzer.10) Fog chemistry dataPAQS, along with the Pittsburgh Supersite Program, was a comprehensive, multi-disciplinary investigation to characterize the ambient PM in the Pittsburgh region, to improve understanding the links between ambient PM and public health, and to develop new instrumentation for PM measurements. The Pittsburgh Supersite was designed to achieve several objectives: to determine the physical and chemical characteristics of PM in the Pittsburgh region; to develop and evaluate the next generation of atmospheric aerosol monitoring techniques; to update emission profiles for important regional sources; to quantify the impact of the various sources on the local PM concentrations; and to predict changes in the PM characteristics due to proposed changes in emissions. The last objective was based on concurrent modeling studies and was designed to support the development of regulations. These objectives were addressed through four components of the research: (1) ambient monitoring at a central site and a set of satellite sites in the region; (2) an instrument development and evaluation study; (3) a data analysis and synthesis component; and (4) a comprehensive modeling component.The central supersite was located on a grassy hill in a large urban park adjacent to the Carnegie Mellon University campus, approximately 6km east of downtown Pittsburgh. It was separated from the city in the predominant upwind direction (south and west) by roughly 1km of parkland. It was at least several hundred meters from any other major source of air pollution: the site was positioned approximately 50m past the end of a dead end street, and several hundred meters from the nearest heavily traveled street. Five additional sites were operated as Satellite sites to character the spatial variation of the PM. The measurement campaign lasted for 14 months (July 2001-September 2002). Intensive monitoring was performed during two periods, from 1 July to 3 August 2001 (ESP01) and 1 January to 15 January, 2002 (ESP02). Baseline monitoring was conducted for the rest of the study. Baseline measurements included daily filter samples for fine particle mass and composition (OC/EC, major ions, elemental composition). The U.S. EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods. NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.

This report presents combined 2005 to 2010 National Survey on Drug Use and Health (NSDUH) results for those aged 12 or older in the Pittsburgh, PA metro area. The report includes estimates of substance use disorder, major depressive episode, illicit drug use, marijuana use, cigarette use, binge alcohol use, and the nonmedical use of prescription-type pain relievers. Results are provided for the Pittsburgh metro area, Pennsylvania, and the U.S. overall.

This raster layer contains the total area occupied by the built-up area of Pittsburgh, Pennsylvania, United States and its urbanized open space in 2000. Categories of urban land use represented in these data include: urban, suburban, rural and urbanized open land. The built-up area of the city is the area occupied by built-up pixels within the set of administrative boundaries defining the city. The urbanized open space consists of all fringe open spaces (including exterior open spaces) and all captured open spaces. These data are part of the Atlas of Urban Expansion.

This data is compiled from PRT's Stop Geo Data Tool and downloadable as the PRT Bus Stop Usage layer. Passenger offs data is currently only available from 2019-2023, and ramp deployments are only available from 2023-2023. Ridership figures by stop are unadjusted, unofficial totals that do not reflect official monthly ridership totals for PRT routes. This data represent a general picture of PRT stop usage location but may underestimate true system-wide ridership by as much as 30%.Disclaimer: The geographic data layers produced by Pittsburgh Regional Transit, and any associated maps and applications, are provided as a public resource for informational purposes only. While every reasonable effort is made to ensure the accuracy and completeness of the data, PRT makes no warranties, expressed or implied, concerning the accuracy, completeness or suitability of its data. Pittsburgh Regional Transit is not responsible for any reliance upon said data.

Includes both PRT-owned and non-PRT Park and Ride locations. This layer is updated as needed by PRT staff.Disclaimer: The geographic data layers produced by Pittsburgh Regional Transit, and any associated maps and applications, are provided as a public resource for informational purposes only. While every reasonable effort is made to ensure the accuracy and completeness of the data, PRT makes no warranties, expressed or implied, concerning the accuracy, completeness or suitability of its data. Pittsburgh Regional Transit is not responsible for any reliance upon said data.

This dataset demarcates the municipal boundaries in Allegheny County. Data was created to portray the boundaries of the 130 Municipalities in Allegheny County the attribute table includes additional descriptive information including Councils of Government (COG) affiliation (regional governing and coordinating bodies comprised of several bordering municipalities), School District, Congressional District, FIPS and County Municipal Code and County Council District.

If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (https://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (https://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below.

Category: Civic Vitality and Governance

Organization: Allegheny County

Department: Geographic Information Systems Group; Department of Information Technology

Temporal Coverage: current

Data Notes:

Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot

Development Notes: none

Other: none

Related Document(s): Data Dictionary (none)

Frequency - Data Change: As needed

Frequency - Publishing: As needed

Data Steward Name: Eli Thomas

Data Steward Email: gishelp@alleghenycounty.us

Carnegie Library of Pittsburgh public wifi usage by library location

CoRR (Consortium for Reliability and Reproducibility) is committed to building an open platform for sharing resources of brain imaging science, aiming to provide standardized benchmarking datasets for test-retest reliability and reproducibility assessment in functional and structural connectomics research. To achieve this goal, CoRR integrated multimodal magnetic resonance imaging (MRI) datasets from multiple laboratories worldwide in 2014, based on which:1. Establish test-retest reliability and reproducibility standards for commonly used connectivity measurments using MRI methods;2. Clarify the reliability fluctuation range of the above measurements in different imaging stations and retesting schemes;3. Build a standardized retest MRI dataset to serve the validation of new connectivity measurements. Since 2024, an enhanced version of CoRR has been updated to enhance the neuropsychometrics on brain imaging assessments. Through standardized image preprocessing processes and the psychometric design expanded from a single retest to to 9 retests, and the raw MRI datasets have been aligned to a standard brain spaces. In addition, all preprocessed brain imaging data is open to the public through the Science Data Bank, providing standardized and unified data support and technical references. We believe that this open science practice will largely foster the transdisciplinary research of human neuroscience. Five minutes of resting-state data were collected at the end of an acquisition sequence consisting of structural and four runs of functional data. Data consists of 100 subjects with baseline and retest resting-state data, with 47 of these also possessing a second retest. Time between tests range from 473-1434 days. Instructions were to lie still and close eyes [or fixate] during the five-minute acquisition.

This layer includes both PRT-owned and non-PRT shelters. This layer is updated approximately every four months before each schedule change or as needed throughout the year. Note that some stops may have multiple shelters, and each shelter has a unique record in the layer.Disclaimer: Ridership figures by stop are unadjusted, unofficial totals that do not reflect official monthly ridership totals for PRT routes. This data represent a general picture of PRT stop usage location but may underestimate true system-wide ridership by as much as 30%.The geographic data layers produced by Pittsburgh Regional Transit, and any associated maps and applications, are provided as a public resource for informational purposes only. While every reasonable effort is made to ensure the accuracy and completeness of the data, PRT makes no warranties, expressed or implied, concerning the accuracy, completeness or suitability of its data. Pittsburgh Regional Transit is not responsible for any reliance upon said data.

Includes monthly totals and daily averages for boardings (riders on), alightings (riders off) and wheelchair deployments. This data is compiled from PRT's Stop Geo Data Tool.This dataset will be updated approximately every 4 months. Passenger offs data is currently only available from 2019-2023. This layer does not include data on light rail or incline boardings, alightings, or wheelchair deployments. This data may be added in the future.Disclaimer: Ridership figures by stop are unadjusted, unofficial totals that do not reflect official monthly ridership totals for PRT routes. This data represent a general picture of PRT stop usage location but may underestimate true system-wide ridership by as much as 30%.The geographic data layers produced by Pittsburgh Regional Transit, and any associated maps and applications, are provided as a public resource for informational purposes only. While every reasonable effort is made to ensure the accuracy and completeness of the data, PRT makes no warranties, expressed or implied, concerning the accuracy, completeness or suitability of its data. Pittsburgh Regional Transit is not responsible for any reliance upon said data.

Contains locations and data for all active bus, rail, and incline stops. Stops are updated for each new pick (schedule change), approximately every four months. This layer currently reflects the June 2025 transit network. Stop locations and service information are derived from the GTFS feed for the current service period. Download the current GTFS feed here.Disclaimer: The geographic data layers produced by Pittsburgh Regional Transit, and any associated maps and applications, are provided as a public resource for informational purposes only. While every reasonable effort is made to ensure the accuracy and completeness of the data, PRT makes no warranties, expressed or implied, concerning the accuracy, completeness or suitability of its data. Pittsburgh Regional Transit is not responsible for any reliance upon said data.

This dataset portrays the boundaries of the County Council Districts in Allegheny County. The dataset is based on municipal boundaries and City of Pittsburgh ward boundaries and was updated as the result of reapportionment in September 2002. It has also been attributed with the current representatives' names.

If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (https://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (https://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below.

Category: Civic Vitality and Governance

Organization: Allegheny County

Department: Geographic Information Systems Group; Department of Information Technology

Temporal Coverage: 2002-present

Data Notes:

Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot

Development Notes: none

Other: none

Related Document(s): Data Dictionary (none)

Frequency - Data Change: As needed

Frequency - Publishing: As needed

Data Steward Name: Eli Thomas

Data Steward Email: gishelp@alleghenycounty.us

Outlines of public and private cemeteries greater than one acre in size. Areas were delineated following a generalized line along the outside edge of the area. Individual features within the cemetery are not shown.

If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below.

Category: Civic Vitality and Governance

Organization: Allegheny County

Department: Geographic Information Systems Group; Department of Administrative Services

Temporal Coverage: 2002

Data Notes:

Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot

Development Notes: none

Other: none

Related Document(s): Data Dictionary (https://docs.google.com/spreadsheets/d/158zM8UNnyvC51iaiLd51LfHyBdOjaNhXmz3ZQL8kXUc/edit?usp=sharing)

Frequency - Data Change: As needed

Frequency - Publishing: As needed

Data Steward Name: Eli Thomas

Data Steward Email: gishelp@alleghenycounty.us

This webmap demarcates municipal voting districts in Allegheny County.

If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below.

Category: Civic Vitality and Governance

Organization: Allegheny County

Department: Elections Divison; Department of Administrative Services

Temporal Coverage: 2015

Data Notes:

Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot

Development Notes: County staff scanned original court maps into the GIS and rubber-sheeted them to fit the Allegheny County GIS Base Data developed from a flyover in 1992-93.

Other: none

Related Document(s): Data Dictionary (https://docs.google.com/spreadsheets/d/1HR24LyBNpLwvJZoaGp-tBGRw0HRoXNIef6nU4UQQMMo/edit?usp=sharing)

Frequency - Data Change: As needed

Frequency - Publishing: As needed

Data Steward Name: Eli Thomas

Data Steward Email: gishelp@alleghenycounty.us