100+ datasets found
  1. d

    State Review Framework Manager Database

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    Updated Jan 24, 2022
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    OECA, Office of Compliance (2022). State Review Framework Manager Database [Dataset]. https://catalog.data.gov/dataset/state-review-framework-manager-database
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    Dataset updated
    Jan 24, 2022
    Dataset provided by
    OECA, Office of Compliance
    Description

    The State Review Framework is a primary means by which EPA conducts oversight of three core federal statutes: Clean Air Act, Clean Water Act, and Resource Conservation and Recovery Act. The routine, nationwide review provides a consistent process for evaluating the performance of state, local and EPA compliance and enforcement programs. The overarching goal of the reviews is to ensure fair and consistent enforcement necessary to protect human health and the environment.

  2. g

    Groundwater wells from Minnesota, Wisconsin, and Michigan state databases...

    • gimi9.com
    Updated Aug 25, 2024
    + more versions
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    (2024). Groundwater wells from Minnesota, Wisconsin, and Michigan state databases and USGS NWIS database with static water level data within 10km of the Lake Superior watershed | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_groundwater-wells-from-minnesota-wisconsin-and-michigan-state-databases-and-usgs-nwis-data/
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    Dataset updated
    Aug 25, 2024
    Area covered
    Lake Superior, Michigan, Wisconsin, Minnesota
    Description

    This dataset includes over 49,000 well records from the state well drillers databases in Minnesota, Wisconsin, and Michigan. Each state well has at a minimum the well depth and a static water level. Static water levels were mostly determined when the well was constructed. Data included in this shapefile include the well construction date, well depth, well elevation (if determined), type of well, the methods used for determining the well location and elevation (if determined), casing and screen depths (where reported), the static water level and a date, and the year the well was constructed. The field names from each of the state databases were harmonized to merge the data, and a table of the original field names is included. Tabular files are included with codes describing the original field names mapped to the combined field names, and descriptions of codes used to describe the well location method, well depth method, and well type for each state. The USGS wells in this dataset were pulled from the National Water Information System (NWIS) and have at least one water level measurement. Additional data for the NWIS wells can be retrieved from the USGS National Water Dashboard https://dashboard.waterdata.usgs.gov/app/nwd/en/?region=lower48&aoi=default.

  3. d

    Protected Areas Database of the United States (PAD-US).

    • datadiscoverystudio.org
    • search.dataone.org
    • +1more
    Updated May 11, 2018
    + more versions
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    (2018). Protected Areas Database of the United States (PAD-US). [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/2011941a40b5435d8f67e1714cf15a21/html
    Explore at:
    Dataset updated
    May 11, 2018
    Area covered
    United States
    Description

    description: The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete best available inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the Standards and Methods Manual for PAD-US, http://gapanalysis.usgs.gov/padus/data/standards/ .; abstract: The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete best available inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the Standards and Methods Manual for PAD-US, http://gapanalysis.usgs.gov/padus/data/standards/ .

  4. U

    United States State Leading Index: Massachusetts

    • ceicdata.com
    Updated Jul 21, 2021
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    CEICdata.com (2021). United States State Leading Index: Massachusetts [Dataset]. https://www.ceicdata.com/en/united-states/state-leading-index/state-leading-index-massachusetts
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    Dataset updated
    Jul 21, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    United States
    Variables measured
    Business Cycle Indicator
    Description

    United States State Leading Index: Massachusetts data was reported at 0.270 % in Jul 2018. This records a decrease from the previous number of 1.314 % for Jun 2018. United States State Leading Index: Massachusetts data is updated monthly, averaging 1.687 % from Jan 1982 (Median) to Jul 2018, with 439 observations. The data reached an all-time high of 5.452 % in Jun 1983 and a record low of -4.495 % in Jan 2009. United States State Leading Index: Massachusetts data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.S008: State Leading Index.

  5. p

    State Archives in Oregon, United States - 1 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 21, 2025
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    Poidata.io (2025). State Archives in Oregon, United States - 1 Verified Listings Database [Dataset]. https://www.poidata.io/report/state-archive/united-states/oregon
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    csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 21, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Oregon, United States
    Description

    Comprehensive dataset of 1 State archives in Oregon, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  6. State/Federal Licensed Occupations data

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Sep 26, 2023
    + more versions
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    Employment and Training Administration (2023). State/Federal Licensed Occupations data [Dataset]. https://catalog.data.gov/dataset/state-federal-licensed-occupations-data
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    Dataset updated
    Sep 26, 2023
    Dataset provided by
    Employment and Training Administrationhttps://www.dol.gov/agencies/eta
    Description

    Dataset includes occupational licenses by state. Data is provided by the state. All licenses are coded to an O*NET-SOC code and by state. CareerOneStop.org web service available upon request.

  7. o

    States - United States of America

    • public.opendatasoft.com
    • data.smartidf.services
    • +2more
    csv, excel, geojson +1
    Updated Jun 6, 2024
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    (2024). States - United States of America [Dataset]. https://public.opendatasoft.com/explore/dataset/georef-united-states-of-america-state/
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    excel, csv, geojson, jsonAvailable download formats
    Dataset updated
    Jun 6, 2024
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for states and equivalent entities in United States of America. Processors and tools are using this data. States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty States, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of States for the purpose of data presentation.Enhancements Add ISO 3166-3 codes. Simplify geometries to provide better performance across the services.

  8. COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries...

    • healthdata.gov
    • data.virginia.gov
    • +2more
    Updated May 3, 2024
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    U.S. Department of Health & Human Services (2024). COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries (RAW) [Dataset]. https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/g62h-syeh
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    csv, application/rssxml, application/rdfxml, tsv, xml, kmz, application/geo+json, kmlAvailable download formats
    Dataset updated
    May 3, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations.

    The following dataset provides state-aggregated data for hospital utilization in a timeseries format dating back to January 1, 2020. These are derived from reports with facility-level granularity across three main sources: (1) HHS TeleTracking, (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities and (3) National Healthcare Safety Network (before July 15).

    The file will be updated regularly and provides the latest values reported by each facility within the last four days for all time. This allows for a more comprehensive picture of the hospital utilization within a state by ensuring a hospital is represented, even if they miss a single day of reporting.

    No statistical analysis is applied to account for non-response and/or to account for missing data.

    The below table displays one value for each field (i.e., column). Sometimes, reports for a given facility will be provided to more than one reporting source: HHS TeleTracking, NHSN, and HHS Protect. When this occurs, to ensure that there are not duplicate reports, prioritization is applied to the numbers for each facility.

    On April 27, 2022 the following pediatric fields were added:

  9. all_pediatric_inpatient_bed_occupied
  10. all_pediatric_inpatient_bed_occupied_coverage
  11. all_pediatric_inpatient_beds
  12. all_pediatric_inpatient_beds_coverage
  13. previous_day_admission_pediatric_covid_confirmed_0_4
  14. previous_day_admission_pediatric_covid_confirmed_0_4_coverage
  15. previous_day_admission_pediatric_covid_confirmed_12_17
  16. previous_day_admission_pediatric_covid_confirmed_12_17_coverage
  17. previous_day_admission_pediatric_covid_confirmed_5_11
  18. previous_day_admission_pediatric_covid_confirmed_5_11_coverage
  19. previous_day_admission_pediatric_covid_confirmed_unknown
  20. previous_day_admission_pediatric_covid_confirmed_unknown_coverage
  21. staffed_icu_pediatric_patients_confirmed_covid
  22. staffed_icu_pediatric_patients_confirmed_covid_coverage
  23. staffed_pediatric_icu_bed_occupancy
  24. staffed_pediatric_icu_bed_occupancy_coverage
  25. total_staffed_pediatric_icu_beds
  26. total_staffed_pediatric_icu_beds_coverage

    On January 19, 2022, the following fields have been added to this dataset:
  27. inpatient_beds_used_covid
  28. inpatient_beds_used_covid_coverage

    On September 17, 2021, this data set has had the following fields added:
  29. icu_patients_confirmed_influenza,
  30. icu_patients_confirmed_influenza_coverage,
  31. previous_day_admission_influenza_confirmed,
  32. previous_day_admission_influenza_confirmed_coverage,
  33. previous_day_deaths_covid_and_influenza,
  34. previous_day_deaths_covid_and_influenza_coverage,
  35. previous_day_deaths_influenza,
  36. previous_day_deaths_influenza_coverage,
  37. total_patients_hospitalized_confirmed_influenza,
  38. total_patients_hospitalized_confirmed_influenza_and_covid,
  39. total_patients_hospitalized_confirmed_influenza_and_covid_coverage,
  40. total_patients_hospitalized_confirmed_influenza_coverage

    On September 13, 2021, this data set has had the following fields added:
  41. on_hand_supply_therapeutic_a_casirivimab_imdevimab_courses,
  42. on_hand_supply_therapeutic_b_bamlanivimab_courses,
  43. on_hand_supply_therapeutic_c_bamlanivimab_etesevimab_courses,
  44. previous_week_therapeutic_a_casirivimab_imdevimab_courses_used,
  45. previous_week_therapeutic_b_bamlanivimab_courses_used,
  46. previous_week_therapeutic_c_bamlanivimab_etesevimab_courses_used

    On June 30, 2021, this data set has had the following fields added:
  47. deaths_covid
  48. deaths_covid_coverage

    On April 30, 2021, this data set has had the following fields added:
  49. previous_day_admission_adult_covid_confirmed_18-19
  50. previous_day_admission_adult_covid_confirmed_18-19_coverage
  51. previous_day_admission_adult_covid_confirmed_20-29_coverage
  52. previous_day_admission_adult_covid_confirmed_30-39
  53. previous_day_admission_adult_covid_confirmed_30-39_coverage
  54. previous_day_admission_adult_covid_confirmed_40-49
  55. previous_day_admission_adult_covid_confirmed_40-49_coverage
  56. previous_day_admission_adult_covid_confirmed_40-49_coverage
  57. previous_day_admission_adult_covid_confirmed_50-59
  58. previous_day_admission_adult_covid_confirmed_50-59_coverage
  59. previous_day_admission_adult_covid_confirmed_60-69
  60. previous_day_admission_adult_covid_confirmed_60-69_coverage
  61. previous_day_admission_adult_covid_confirmed_70-79
  62. previous_day_admission_adult_covid_confirmed_70-79_coverage
  63. previous_day_admission_adult_covid_confirmed_80+
  64. previous_day_admission_adult_covid_confirmed_80+_coverage
  65. previous_day_admission_adult_covid_confirmed_unknown
  66. previous_day_admission_adult_covid_confirmed_unknown_coverage
  67. previous_day_admission_adult_covid_suspected_18-19
  68. previous_day_admission_adult_covid_suspected_18-19_coverage
  69. previous_day_admission_adult_covid_suspected_20-29
  70. previous_day_admission_adult_covid_suspected_20-29_coverage
  71. previous_day_admission_adult_covid_suspected_30-39
  72. previous_day_admission_adult_covid_suspected_30-39_coverage
  73. previous_day_admission_adult_covid_suspected_40-49
  74. previous_day_admission_adult_covid_suspected_40-49_coverage
  75. previous_day_admission_adult_covid_suspected_50-59
  76. previous_day_admission_adult_covid_suspected_50-59_coverage
  77. previous_day_admission_adult_covid_suspected_60-69
  78. previous_day_admission_adult_covid_suspected_60-69_coverage
  79. previous_day_admission_adult_covid_suspected_70-79
  80. previous_day_admission_adult_covid_suspected_70-79_coverage
  81. previous_day_admission_adult_covid_suspected_80+
  82. previous_day_admission_adult_covid_suspected_80+_coverage
  83. previous_day_admission_adult_covid_suspected_unknown
  84. previous_day_admission_adult_covid_suspected_unknown_coverage

  • H

    MS Access Database of state laws pertaining to bicycle travel

    • dataverse.harvard.edu
    Updated Oct 13, 2020
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    Michael Lowry; David Pimentel (2020). MS Access Database of state laws pertaining to bicycle travel [Dataset]. http://doi.org/10.7910/DVN/W9NGI2
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 13, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Michael Lowry; David Pimentel
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The file is a Microsoft Access Database of laws governing e-bikes (bicycles equipped with electric motors to assist in propulsion), and e-scooters (stand-up kick scooters powered by an electric motor) in all fifty states and the District of Columbia. The researchers used the LEXIS/NEXIS legal database, WESTLAW, and state-operated websites in each assigned jurisdiction to find the relevant laws. Since this is an emerging field of law, many states have legislation pending at various stages of the legislative cycle. For the purposes of this study, any laws that had been fully enacted by the state government were included as the relevant law, even if they had not yet gone into effect. Any laws that were pending in the state legislature or were awaiting the governor’s signature were not considered for this study. The research team met weekly to discuss any unclear laws and to ensure that similar situations were logged in a consistent manner. After the states were completed, researchers checked a sampling of each other’s work to ensure that the data collection had been done in a consistent manner. Any and all discrepancies that were identified were raised for discussion, clarification, and ultimately harmonization.

  • V

    State Immigration Data Profiles

    • data.virginia.gov
    xlsx
    Updated Apr 16, 2024
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    Datathon 2024 (2024). State Immigration Data Profiles [Dataset]. https://data.virginia.gov/dataset/state-immigration-data-profiles
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    xlsx(20817)Available download formats
    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Datathon 2024
    Description

    Migration Policy Institute tabulations of the U.S. Census Bureau’s American Community Survey (ACS) and Decennial Census. Unless stated otherwise, 2022 data are from the one-year ACS file.

    The source link: https://www.migrationpolicy.org/data/state-profiles/state/workforce/VA

  • Protected Areas Database

    • gis-fws.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jun 23, 2023
    + more versions
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    U.S. Fish & Wildlife Service (2023). Protected Areas Database [Dataset]. https://gis-fws.opendata.arcgis.com/datasets/protected-areas-database
    Explore at:
    Dataset updated
    Jun 23, 2023
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Authors
    U.S. Fish & Wildlife Service
    Area covered
    Description

    The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public land and voluntarily provided private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastre Theme ( https://communities.geoplatform.gov/ngda-cadastre/ ). The PAD-US is an ongoing project with several published versions of a spatial database including areas dedicated to the preservation of biological diversity, and other natural (including extraction), recreational, or cultural uses, managed for these purposes through legal or other effective means. The database was originally designed to support biodiversity assessments; however, its scope expanded in recent years to include all open space public and nonprofit lands and waters. Most are public lands owned in fee (the owner of the property has full and irrevocable ownership of the land); however, permanent and long-term easements, leases, agreements, Congressional (e.g. 'Wilderness Area'), Executive (e.g. 'National Monument'), and administrative designations (e.g. 'Area of Critical Environmental Concern') documented in agency management plans are also included. The PAD-US strives to be a complete inventory of U.S. public land and other protected areas, compiling “best available” data provided by managing agencies and organizations. The PAD-US geodatabase maps and describes areas using thirty-six attributes and five separate feature classes representing the U.S. protected areas network: Fee (ownership parcels), Designation, Easement, Marine, Proclamation and Other Planning Boundaries. An additional Combined feature class includes the full PAD-US inventory to support data management, queries, web mapping services, and analyses. The Feature Class (FeatClass) field in the Combined layer allows users to extract data types as needed. A Federal Data Reference file geodatabase lookup table (PADUS3_0Combined_Federal_Data_References) facilitates the extraction of authoritative federal data provided or recommended by managing agencies from the Combined PAD-US inventory. This PAD-US Version 3.0 dataset includes a variety of updates from the previous Version 2.1 dataset (USGS, 2020, https://doi.org/10.5066/P92QM3NT ), achieving goals to: 1) Annually update and improve spatial data representing the federal estate for PAD-US applications; 2) Update state and local lands data as state data-steward and PAD-US Team resources allow; and 3) Automate data translation efforts to increase PAD-US update efficiency. The following list summarizes the integration of "best available" spatial data to ensure public lands and other protected areas from all jurisdictions are represented in the PAD-US (other data were transferred from PAD-US 2.1). Federal updates - The USGS remains committed to updating federal fee owned lands data and major designation changes in annual PAD-US updates, where authoritative data provided directly by managing agencies are available or alternative data sources are recommended. The following is a list of updates or revisions associated with the federal estate: 1) Major update of the Federal estate (fee ownership parcels, easement interest, and management designations where available), including authoritative data from 8 agencies: Bureau of Land Management (BLM), U.S. Census Bureau (Census Bureau), Department of Defense (DOD), U.S. Fish and Wildlife Service (FWS), National Park Service (NPS), Natural Resources Conservation Service (NRCS), U.S. Forest Service (USFS), and National Oceanic and Atmospheric Administration (NOAA). The federal theme in PAD-US is developed in close collaboration with the Federal Geographic Data Committee (FGDC) Federal Lands Working Group (FLWG, https://communities.geoplatform.gov/ngda-govunits/federal-lands-workgroup/ ). 2) Improved the representation (boundaries and attributes) of the National Park Service, U.S. Forest Service, Bureau of Land Management, and U.S. Fish and Wildlife Service lands, in collaboration with agency data-stewards, in response to feedback from the PAD-US Team and stakeholders. 3) Added a Federal Data Reference file geodatabase lookup table (PADUS3_0Combined_Federal_Data_References) to the PAD-US 3.0 geodatabase to facilitate the extraction (by Data Provider, Dataset Name, and/or Aggregator Source) of authoritative data provided directly (or recommended) by federal managing agencies from the full PAD-US inventory. A summary of the number of records (Frequency) and calculated GIS Acres (vs Documented Acres) associated with features provided by each Aggregator Source is included; however, the number of records may vary from source data as the "State Name" standard is applied to national files. The Feature Class (FeatClass) field in the table and geodatabase describe the data type to highlight overlapping features in the full inventory (e.g. Designation features often overlap Fee features) and to assist users in building queries for applications as needed. 4) Scripted the translation of the Department of Defense, Census Bureau, and Natural Resource Conservation Service source data into the PAD-US format to increase update efficiency. 5) Revised conservation measures (GAP Status Code, IUCN Category) to more accurately represent protected and conserved areas. For example, Fish and Wildlife Service (FWS) Waterfowl Production Area Wetland Easements changed from GAP Status Code 2 to 4 as spatial data currently represents the complete parcel (about 10.54 million acres primarily in North Dakota and South Dakota). Only aliquot parts of these parcels are documented under wetland easement (1.64 million acres). These acreages are provided by the U.S. Fish and Wildlife Service and are referenced in the PAD-US geodatabase Easement feature class 'Comments' field. State updates - The USGS is committed to building capacity in the state data-steward network and the PAD-US Team to increase the frequency of state land updates, as resources allow. The USGS supported efforts to significantly increase state inventory completeness with the integration of local parks data in the PAD-US 2.1, and developed a state-to-PAD-US data translation script during PAD-US 3.0 development to pilot in future updates. Additional efforts are in progress to support the technical and organizational strategies needed to increase the frequency of state updates. The PAD-US 3.0 included major updates to the following three states: 1) California - added or updated state, regional, local, and nonprofit lands data from the California Protected Areas Database (CPAD), managed by GreenInfo Network, and integrated conservation and recreation measure changes following review coordinated by the data-steward with state managing agencies. Developed a data translation Python script (see Process Step 2 Source Data Documentation) in collaboration with the data-steward to increase the accuracy and efficiency of future PAD-US updates from CPAD. 2) Virginia - added or updated state, local, and nonprofit protected areas data (and removed legacy data) from the Virginia Conservation Lands Database, provided by the Virginia Department of Conservation and Recreation's Natural Heritage Program, and integrated conservation and recreation measure changes following review by the data-steward. 3) West Virginia - added or updated state, local, and nonprofit protected areas data provided by the West Virginia University, GIS Technical Center. For more information regarding the PAD-US dataset please visit, https://www.usgs.gov/gapanalysis/PAD-US/. For more information about data aggregation please review the PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual . A version history of PAD-US updates is summarized below (See https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-history for more information): 1) First posted - April 2009 (Version 1.0 - available from the PAD-US: Team pad-us@usgs.gov). 2) Revised - May 2010 (Version 1.1 - available from the PAD-US: Team pad-us@usgs.gov). 3) Revised - April 2011 (Version 1.2 - available from the PAD-US: Team pad-us@usgs.gov). 4) Revised - November 2012 (Version 1.3) https://doi.org/10.5066/F79Z92XD 5) Revised - May 2016 (Version 1.4) https://doi.org/10.5066/F7G73BSZ 6) Revised - September 2018 (Version 2.0) https://doi.org/10.5066/P955KPLE 7) Revised - September 2020 (Version 2.1) https://doi.org/10.5066/P92QM3NT 8) Revised - January 2022 (Version 3.0) https://doi.org/10.5066/P9Q9LQ4B Comparing protected area trends between PAD-US versions is not recommended without consultation with USGS as many changes reflect improvements to agency and organization GIS systems, or conservation and recreation measure classification, rather than actual changes in protected area acquisition on the ground.

  • U

    United States State Leading Index: Montana

    • ceicdata.com
    Updated Jul 15, 2018
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    CEICdata.com (2018). United States State Leading Index: Montana [Dataset]. https://www.ceicdata.com/en/united-states/state-leading-index/state-leading-index-montana
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    Dataset updated
    Jul 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    United States
    Variables measured
    Business Cycle Indicator
    Description

    United States State Leading Index: Montana data was reported at 3.783 % in Jul 2018. This records a decrease from the previous number of 3.837 % for Jun 2018. United States State Leading Index: Montana data is updated monthly, averaging 1.360 % from Jan 1982 (Median) to Jul 2018, with 439 observations. The data reached an all-time high of 5.435 % in Sep 1988 and a record low of -4.711 % in Dec 2008. United States State Leading Index: Montana data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.S008: State Leading Index.

  • United States State Leading Index: Minnesota

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States State Leading Index: Minnesota [Dataset]. https://www.ceicdata.com/en/united-states/state-leading-index/state-leading-index-minnesota
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    United States
    Variables measured
    Business Cycle Indicator
    Description

    United States State Leading Index: Minnesota data was reported at 2.333 % in Jul 2018. This records a decrease from the previous number of 2.428 % for Jun 2018. United States State Leading Index: Minnesota data is updated monthly, averaging 1.588 % from Jan 1982 (Median) to Jul 2018, with 439 observations. The data reached an all-time high of 3.973 % in Jul 1983 and a record low of -2.349 % in Mar 2009. United States State Leading Index: Minnesota data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.S008: State Leading Index.

  • d

    Legislator Database

    • catalog.data.gov
    • data.ct.gov
    • +4more
    Updated Aug 11, 2025
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    data.ct.gov (2025). Legislator Database [Dataset]. https://catalog.data.gov/dataset/legislator-database
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    Dataset updated
    Aug 11, 2025
    Dataset provided by
    data.ct.gov
    Description

    A listing of State Representatives and State Senators. For more information see: http://www.cga.ct.gov/asp/menu/legdownload.asp

  • a

    State Parks Data Dictionary

    • data-lakecountyil.opendata.arcgis.com
    • cloud.csiss.gmu.edu
    • +6more
    Updated Jun 1, 2019
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    Lake County Illinois GIS (2019). State Parks Data Dictionary [Dataset]. https://data-lakecountyil.opendata.arcgis.com/documents/da40675e2a724147a0076bb358b2f3ea
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    Dataset updated
    Jun 1, 2019
    Dataset authored and provided by
    Lake County Illinois GIS
    License

    https://www.arcgis.com/sharing/rest/content/items/89679671cfa64832ac2399a0ef52e414/datahttps://www.arcgis.com/sharing/rest/content/items/89679671cfa64832ac2399a0ef52e414/data

    Area covered
    Description

    Data Dictionary for State Parks.

  • H

    State Emergency Department Database (SEDD)

    • dataverse.harvard.edu
    • data.niaid.nih.gov
    Updated Jul 26, 2011
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    Harvard Dataverse (2011). State Emergency Department Database (SEDD) [Dataset]. http://doi.org/10.7910/DVN/8VCS1P
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    Dataset updated
    Jul 26, 2011
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Users are able to access data related discharge information on all emergency department visits. Data is focused on but not limited to emergency room diagnoses, procedures, demographics, and payment source. Background The State Emergency Department Databases (SEDD) is focused on capturing discharge information on all emergency department visits that do not result in an admission, (Information on patients initially seen in the emergency room and then admitted to the hospital is included in the State Inpatient Databases (SID)). The SEDD contains emergency department information from 27 states. The SEDD contain more than 100 clinical and non-clinical variables included in a hospital dis charge abstract, such as: diagnoses, procedures, patient demographics, expected payment source and total charges. User functionality Users must pay to access the SEDD database. SEDD files from 1999-2009 are available through the HCUP Central Distributor. The SEDD data set can be run on desktop computers with a CD-ROM reader, and comes in ASCII format. The data on the CD set require a statistical software package such as SAS or SPSS to use for analytic purposes. The data set comes with full documentation. SAS and SPSS users are provided programs for converting ASCII files. Data Notes Data is available from 1999-2009. The website does not indicate when new data will be updated. Twenty-seven States now currently participate in the SEDD including Arizona, California, Connecticut, Florida, Georgia, Hawaii, Indiana, Iowa, Kansas, Maine, Maryland, Massachusetts, Minnesota, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, South Dakota, Tennessee, Utah, Vermont, and Wisconsin.

  • p

    State Government Offices in Pennsylvania, United States - 710 Verified...

    • poidata.io
    csv, excel, json
    Updated Jul 9, 2025
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    Poidata.io (2025). State Government Offices in Pennsylvania, United States - 710 Verified Listings Database [Dataset]. https://www.poidata.io/report/state-government-office/united-states/pennsylvania
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 9, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Pennsylvania, United States
    Description

    Comprehensive dataset of 710 State government offices in Pennsylvania, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  • d

    Protected Areas Database of the United States (PAD-US) - Combined: Version...

    • datadiscoverystudio.org
    kmz
    Updated Mar 10, 2013
    + more versions
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    (2013). Protected Areas Database of the United States (PAD-US) - Combined: Version 1.3 [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/3fac79fbbba74bd49758536e23479003/html
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    kmzAvailable download formats
    Dataset updated
    Mar 10, 2013
    Area covered
    United States,
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  • V

    Virginia State Police Cold Case Data

    • data.virginia.gov
    csv
    Updated Jun 24, 2025
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    Department of State Police (2025). Virginia State Police Cold Case Data [Dataset]. https://data.virginia.gov/dataset/virginia-state-police-cold-case-data
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    csv(511766)Available download formats
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Department of State Police
    Area covered
    Virginia
    Description

    This data is a compilation of information from Virginia State Police investigators and local law enforcement used for soliciting tips on unsolved cases throughout the Commonwealth on the Virginia Cold Case Database (https://coldcase.vsp.virginia.gov/). The site displays unsolved homicides, missing persons cases, and unidentified remains.

  • H

    State Policy Innovation and Diffusion (SPID) Database v1.2

    • dataverse.harvard.edu
    pdf, tsv
    Updated Jul 12, 2021
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    Harvard Dataverse (2021). State Policy Innovation and Diffusion (SPID) Database v1.2 [Dataset]. http://doi.org/10.7910/DVN/CVYSR7
    Explore at:
    tsv(89582), pdf(166869), tsv(648436), tsv(7656)Available download formats
    Dataset updated
    Jul 12, 2021
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    1691 - 2017
    Description

    The SPID data include information on the year of adoption for over 700 policies in the American states. For each policy we document the year of first adoption for each state. Adoption dates range from 1691 to 2017 and includes all fifty states. Policies are adopted by anywhere from 1 to 50 states, with an average of 25 adoptions. The data were assembled from a variety of sources, including academic publications and policy advocacy/information groups. Policies were coded according to the Policy Agendas Project major topic code. Version 1.2 includes a small number of corrections to the previous version. These are summarized in the documentation and listed in the changes spreadsheet.

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    OECA, Office of Compliance (2022). State Review Framework Manager Database [Dataset]. https://catalog.data.gov/dataset/state-review-framework-manager-database

    State Review Framework Manager Database

    Explore at:
    Dataset updated
    Jan 24, 2022
    Dataset provided by
    OECA, Office of Compliance
    Description

    The State Review Framework is a primary means by which EPA conducts oversight of three core federal statutes: Clean Air Act, Clean Water Act, and Resource Conservation and Recovery Act. The routine, nationwide review provides a consistent process for evaluating the performance of state, local and EPA compliance and enforcement programs. The overarching goal of the reviews is to ensure fair and consistent enforcement necessary to protect human health and the environment.

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