AndreaBozzo/ceres-open-data-index huggingface dataset:
2023 Cartographic Boundary File (SHP), Secondary School District for Kentucky, 1:500,000

The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.

The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2022-2023 school year, i.e., in operation as of January 1, 2023.

Tags: 2023, cartographic boundary, generalized, kentucky, ky, school district, secondary school district, shp
Organization: U.S. Census Bureau, Department of Commerce
PFAS leachate concentrations in Puerto Rico Landfills

The data represents the information that was used to create the figures and the tables used in the manuscript. 

This dataset is associated with the following publication:
Robey, N., Y. Liu, M. Crespo-Medina, J. Bowden, H. Solo-Gabriele, T. Townsend, and T. Tolaymat. Characterization of Per- and Polyfluoroalkyl Substances (PFAS) and Other Constituents in MSW Landfill Leachate from Puerto Rico.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 358: 142131, (2024).

Tags: contamination, landfills, leachate, pfas, puerto-rico
Organization: U.S. Environmental Protection Agency
Yukon-Tanana Upland airborne magnetic geophysical data merge, version 2023

Yukon-Tanana Upland airborne magnetic geophysical data merge, version 2023, Digital Data Series 12-1, provides a merged raster grid of magnetic data for the Yukon-Tanana Upland (YTU), Alaska. This dataset provides a regionally consistent magnetic grid while retaining as much detail as possible of the originating data by leveling all the region's magnetic grids to one another. This 100-m cell-size magnetic grid of the YTU will assist in evaluating the region's geologic structure, geologic processes, tectonic evolution, and mineral resource potential. The grid was compiled from previous studies published by the Alaska Division of Geological & Geophysical Surveys (DGGS). The data, as well as additional metadata, are available from the DGGS website: http://doi.org/10.14509/31157.

Tags: airborne geophysical survey, alcan, badger, big delta, black mining district, bonnifield mining district, central, charley river, charlieskin village, chatanika, chatanika river, chena hot springs, chena river, chickaloon, chicken, chisana mining district, chisana river, circle hot springs, circle mining district, college, dalton highway, delta junction, delta river, delta river mining district, dggs, dot lake, dot lake village, dry creek, eagle, eagle mining district, eagle village, electromagnetic data, electromagnetic survey, elliot highway, ester, eureka, fairbanks, fairbanks mining district, flume creek, fortymile river, fox, geologic, geology, geophysical map, geophysical survey, geophysics, geophysics search tag, gerstle river, goodpaster mining district, goodpaster river, harding lake, healy lake, healy river, hot springs mining district, johnson river, kalukna river, kalutna river, kandik group, kantishna mining district, kantishna river, kathakne, kechumstuk, ladue river, little chena river, livengood, magnetic data, magnetic survey, magnetics, manley hot springs, mansfield village, miller house, minto, moose creek, nabesna river, nabesna village, neruokpuk quartzite, north pole, northway, northway junction, northway village, pleasant valley, rampart mining district, richardson, richardson highway, robertson river, salcha river, seventymile river, sixtymile river, tanacross, tanana river, tatalina river, tatlanika river, taylor highway, tetlin junction, tetlin river, tofty, tok, tok mining district, tok river, tolovana, tolovana mining district, tolovana river, totatlanika river, two rivers, volkmar river, wickersham grit, wickersham unit, wood river, yukon river, yukon-tanana terrane, yukon-tanana upland, zitziana river
Organization: State of Alaska
Digital City Map – Geodatabase

The Digital City Map (DCM) data represents street lines and other features shown on the City Map, which is the official street map of the City of New York. The City Map consists of 5 different sets of maps, one for each borough, totaling over 8000 individual paper maps. The DCM datasets were created in an ongoing effort to digitize official street records and bring them together with other street information to make them easily accessible to the public. The Digital City Map (DCM) is comprised of seven datasets; Digital City Map, Street Center Line, City Map Alterations, Arterial Highways and Major Streets, Street Name Changes (areas), Street Name Changes (lines), and Street Name Changes (points).

All of the Digital City Map (DCM) datasets are featured on the <a href="https://streets.planning.nyc.gov/about">Streets App</a>

All previously released versions of this data are available at BYTES of the <a href="https://www1.nyc.gov/site/planning/data-maps/open-data/bytes-archive.page?sorts[year]=0">BIG APPLE- Archive </a>

Tags: alteration-map, arterial-highways, base-map, bulkhead-line, conames, dcm, dcp, department-of-city-planning, digital-city-map, final-section-map, honorary-names, major-streets, mapped-streets, new-york-city, nyc, official-city-map, paper-streets, pierhead-line, record-streets, street, street-names, street-treatment, street-width, unmapped-streets
Organization: City of New York
Oregon Medicaid Diagnosis Codes Exempt from POA Indicator Requirements

List of diagnosis codes that are exempt from the requirement listed in Oregon Administrative Rule 410-125-0450(1)(b)(D), which states, "DRG and percentage-paid hospitals must submit a POA indicator for the principal diagnosis and every secondary diagnosis code. A valid POA indicator must be included on all inpatient hospital claims. Claims without a valid POA indicator shall be denied."

Organization: State of Oregon
Multi-pollutant BenMAP Analysis Data

Air quality data for Georgia for the years 2011 and 2025 for the pollutants: CO, EC, NH4, NO2, NO3-, O3, OC, PM2.5, SO2, SO4, and Secondary PM2.5. In addition the beta coefficients for single and multipollutant models and the accompanying variance-covariance matrix from Winquist et al. (2014), which examined single and multipollutant exposures and pediatric asthma ED visits. 

This dataset is associated with the following publication:
Coffman, E., A.G. Rappold, R.C. Nethery, J. Anderton, M. Amend, M.A. Jackson, H. Roman, N. Fann, K.R. Baker, and J.D. Sacks. Quantifying Multipollutant Health Impacts Using the Environmental Benefits Mapping and Analysis Program–Community Edition (BenMAP-CE): A Case Study in Atlanta, Georgia.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 132(3): 037003, (2024).

Tags: air-pollution, asthma, multipollutant-approach
Organization: U.S. Environmental Protection Agency
Highway Performance Monitoring System (HPMS)

The Federal Highway Administration (FHWA) has been receiving Highway inventory, usage, condition and performance data from State Departments of Transportation (DOT) since 1978 to support the program mission of the FHWA. Specifically, HPMS consists of detailed road segment data (63 Attributes) for higher order systems. Sample attributes for collector systems and summary data for the local roads.
New requirements for HPMS took effect in 2014 that required each State DOTs to expand their Linear Referencing Systems (LRS), a statewide geospatial representation of their road system that includes all public roads. This requirement was put in place to support highway safety.
States DOTs submit HPMS data annually to the FHWA following a prescribed format outlined in the Highway Performance Monitoring System Field Manual.

Tags: arnold, hpms
Organization: Department of Transportation
Project And Program Action Information System (PAPAI) -

EDTS/PAPAI is a monitoring system that tracks NEPA project progress between major milestones, and helps accurately determine the total processing time from initiation of an Environmental Impact Statement (EIS) or Environmental Assessment (EA) to the approval of the final decision document, one component of the Every Day Counts Initiative. This information is used for regular reports to the Council on Environmental Quality (CEQ) as well as FHWA and US DOT leadership. EDTS is being upgraded to add project and action tracking, with the enhanced system being renamed PAPAI.%3F

Tags: eis, environmental, nepa, project
Organization: Department of Transportation
PlanWorks

PlanWorks is a Web resource that supports collaborative decision making in transportation planning and project development. PlanWorks is built around key decision points in long-range planning, programming, corridor planning, and environmental review. PlanWorks suggests when and how to engage cross-disciplinary partners and stakeholder groups. PlanWorks has four major components:-A troubleshooting guide describing the common decision points and opportunities for cooperation in the transportation planning and environmental review process. For each of the key decision points, PlanWorks provides policy and stakeholder questions, data needs, case studies and examples, and links to tools that can help support the decision.-Interactive assessments that enable project stakeholders to identify opportunities to work together, improve interagency cooperation, and expedite project delivery.

Tags: collaboration, decision, fhwa, planning, policy, transportation
Organization: Department of Transportation
Monthly Motor Fuel

On a monthly basis, each State is required to report to the Federal Highway Administration (FHWA), the amount of gallons taxed by that state. This data is analyzed and compiled by FHWA staff. The data on the amount of on-highway fuel use for each State is then used to attribute federal revenue to each State. Yearly, the FHWA, Office of Policy, provides data from the previous year's data for use in the attribution process. The previous year data is used to provide States added time to review, allowing them to verify that the data report is correct and ready to be used in attribution.

Tags: diesel, fuel-tax, gallons, gasoline, motor-fuel
Organization: Department of Transportation
Highway Performance Monitoring System (HPMS)

HPMS compiles data on highway network extent, use, condition, and performance.  The system consists of a geospatially-enabled database that is used to generate reports and provides tools for data analysis.  Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

Tags: aadt, condition, highway, iri, ownership, pavement, performance, traffic, travel, use, vmt
Organization: Department of Transportation
Vehicle Travel Information System (VTRIS)

The VTRIS W-Tables are designed to provide a standard format for presenting the outcome of the Vehicle Weighing and Classification efforts at truck weigh sites. The data that appears in the W-Tables comes from the Summary files that are generated by the Summary subsystem.

Tags: axle-load, carried-load, classification, count, empty, loaded, traffic-count, truck, truck-count, vehicle, weight, weight-in-motion, wim
Organization: Department of Transportation
Rural & Statewide GIS/Data Needs (HEPGIS)

HEPGIS is a web-based interactive geographic map server that allows users to navigate and view geo-spatial data, print maps, and obtain data on specific features using only a web browser.  It includes geo-spatial data used for transportation planning. HEPGIS previously received ARRA funding for development of Economically distressed Area maps. It is also being used to demonstrate emerging trends to address MPO and statewide planning  regulations/requirements , enhanced National Highway System,  Primary Freight Networks, commodity flows and safety data . HEPGIS has been used to help implement MAP-21 regulations and will help implement the Grow America Act, particularly related to Ladder of Opportunities and MPO reforms.

Tags: arra-planning, fhwa, geographic, geospatial, map
Organization: Department of Transportation
2023 Cartographic Boundary File (SHP), County Subdivision for Vermont, 1:500,000

The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions.  

The generalized boundaries of legal MCDs are based on those as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are based on those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2023, cartographic boundary, county, county subdivision, generalized, shp, vermont, vt
Organization: U.S. Census Bureau, Department of Commerce
2023 Cartographic Boundary File (KML), State Legislative District (SLD) Lower Chamber for Virginia, 1:500,000

The 2023 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation.

The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2022 election year and provided by state-level participants through the RDP.

Tags: 2023, cartographic boundary, generalized, kml, lower chamber, lower district, state legislative district, va, virginia
Organization: U.S. Census Bureau, Department of Commerce
2023 Cartographic Boundary File (SHP), Tribal Census Tract for United States, 1:500,000

The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

A tribal census tract is a relatively permanent statistical subdivision of a federally recognized American Indian reservation and/or off-reservation trust land, delineated by the American Indian tribal government and/or the Census Bureau for the purpose of presenting demographic data. For the 2010 Census and beyond, tribal census tracts are defined independently of the standard county-based census tract delineation. For federally recognized American Indian Tribes with reservations and/or off-reservation trust lands with a population less than 2,400, a single tribal census tract is defined. Qualifying areas with a population greater than 2,400 could define additional tribal census tracts within their area. The tribal census tract codes for the 2020 Census are six characters long with a leading "T" alphabetic character followed by a five-digit numeric code, for example, T01000, which translates as tribal census tract 10. Tribal block groups nest within tribal census tracts. Since individual tabulation blocks are defined within the standard State-county-census tract geographic hierarchy, a tribal census tract can contain seemingly duplicate block numbers, thus tribal census tracts cannot be used to uniquely identify census tabulation blocks for the 2020 Census. 

The generalized boundaries of tribal census tracts are based on those delineated through the Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2023, cartographic boundary, generalized, shp, united states of america (the), us
Organization: U.S. Census Bureau, Department of Commerce
2023 Cartographic Boundary File (SHP), State Legislative District (SLD) Upper Chamber for Maine, 1:500,000

The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation.

The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2022 election year and provided by state-level participants through the RDP.

Tags: 2023, cartographic boundary, generalized, maine, me, shp, state legislative district, upper chamber
Organization: U.S. Census Bureau, Department of Commerce
2023 Cartographic Boundary File (SHP), State Legislative District (SLD) Lower Chamber for Indiana, 1:500,000

The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation.

The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2022 election year and provided by state-level participants through the RDP.

Tags: 2023, cartographic boundary, generalized, in, indiana, lower chamber, lower district, shp, state legislative district
Organization: U.S. Census Bureau, Department of Commerce