AndreaBozzo/ceres-open-data-index huggingface dataset:
Intercity Bus Atlas Stops

The Intercity Bus Atlas - Stops dataset uses source data from June 11, 2026 and was created on June 12, 2026 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Intercity Bus Atlas (ICBA) initiative collects, compiles, maps, publishes, and archives scheduled intercity bus service data provided by North American bus service providers. ICBA data--collected as periodic historic snapshots of available intercity bus services--is intended for federal, state, local, and tribal transportation decision makers, metropolitan planning organizations, transportation-related associations, private sector actors (including the freight community), and the public to better understand the density, frequency, accessibility, and reachability provided by the intercity bus industry's services. The stop, route, and schedule data provided by the ICBA reveal the local, interregional, and international connectivity, service densities, frequencies, and travel patterns enabled by the intercity bus component of the United States' myriad transportation facilities and services as well as how these services co-exist with other modes of passenger travel. The underlying source data of the ICBA are supplied by participating North American bus service providers, who publish their schedule information compliant the General Transit Feed Specification (GTFS). This GTFS standard allows intercity bus providers to publish operational information on their stops, routes, trips, schedules, fares, and transfers in a way that is maximally interoperable with applications that consume, process, and visualize the data for riders and others interested in learning more about their services. The ICBA, however, relies only on data provided via GTFS' schedule component; while there is a second GTFS component for real-time bus location data, it is not currently utilized or required for the ICBA. More information on GTFS is available at https://gtfs.org/schedule/. In turn, the Bureau of Transportations Statistics collects GTFS schedule data from provider websites and compiles them into a single geospatially enabled database. As of December 2023, this database contains two feature layers, each representing a different component of providers networks: stops and routes. The ICBA Routes dataset shows the alignment of each intercity bus route (i.e., a group of trips displayed to riders as a single service) along the national road network; it combines information from the GTFS "routes.txt", "trips.txt", and "shapes.txt" files. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529306
USA Census Counties

This layer presents the U.S. Census County (or County Equivalent) boundaries of the United States in the 50 states and the District of Columbia, sourced from 2023 Census TIGER/Line data and includes the estimated annual population total of each County. This layer is updated annually. The geography is sourced from [U.S. Census Bureau 2023 TIGER FGDB (National Sub-State)] and edited using [TIGER Hydrography] to add a detailed coastline for cartographic purposes. Attribute fields include 2023 estimated total population from the Esri demographics team. This ready-to-use layer can be used in ArcGIS Pro and in ArcGIS Online and its configurable apps, dashboards, StoryMaps, custom apps, and mobile apps. The data can also be exported for offline workflows. Cite the 'U.S. Census Bureau' when using this data.
USA Department of Defense Lands

Retirement Notice: This item is in [mature support] as of April 2026 and will be retired in December 2027. A [new version of this item] is available for your use. Esri recommends updating your maps and apps to use the new version. The U.S. Defense Department oversees the USA"s armed forces and manages over 30 million acres of land. With over 2.8 million service members and civilian employees the department is the world"s largest employer. Dataset Summary Phenomenon Mapped: Lands managed by the U.S. Department of Defense Geographic Extent: United States, Guam, Puerto Rico Data Coordinate System: WGS 1984 Visible Scale: The data is visible at all scales Source: DOD Military Installations Ranges and Training Areas layer. Publication Date: May 2025 This layer is a view of the [USA Federal Lands layer]. A filter has been used on this layer to eliminate non-Department of Defense lands. For more information on layers for other agencies see the [USA Federal Lands layer]. What can you do with this layer? This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the [ArcGIS Living Atlas of the World] in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application. In both ArcGIS Online and Pro you can change the layer's symbology and view its attribute table. You can filter the layer to show subsets of the data using the [filter button] in Online or a definition query in Pro. The data can be exported to a file geodatabase, a shape file or other format and downloaded using the [Export Data] button on the top right of this webpage. This layer can be used as an analytic input in both Online and Pro through the Perform Analysis window Online or as an input to a geoprocessing tool, model, or Python script in Pro. Questions? Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.
National Wildlife Refuges

National Wildlife Refuges This U.S. Fish and Wildlife Service (FWS) feature layer depicts National Wildlife Refuges. These Refuges display external boundary of lands and waters administered by FWS. According to [FWS], "Each unit of the Refuge System — whether it is a wildlife refuge, a marine national monument, a conservation area or a waterfowl production area — is established to serve a statutory purpose that targets the conservation of native species dependent on its lands and water. All activities on those acres are reviewed for compatibility with this statutory purpose." [USDOI FWS National Wildlife Refuges _ 800x400 _ screen capture] Patuxent Research Refuge Data currency: current Federal service ([National Wildlife Refuge System Boundaries]) Data modification(s): None For more information: [National Wildlife Refuge System] For feedback please contact: [ArcGIScomNationalMaps@esri.com] Fish and Wildlife Service (FWS) Per [FWS], “ The U.S. Fish and Wildlife Service is the premier government agency dedicated to the conservation, protection, and enhancement of fish, wildlife and plants, and their habitats. We are the only agency in the federal government whose primary responsibility is the conservation and management of these important natural resources for the American public.”
CDPHE Colorado Wastewater Surveillance Data

The Colorado Department of Public Health and Environment (CDPHE) Colorado Wastewater Surveillance Data contains tabular data as displayed in the Colorado Wastewater Surveillance Data [Dashboard]. The CDPHE Wastewater Surveillance Program collaborates with wastewater utilities to test for infectious pathogens, including COVID-19, Influenza, Respiratory Syncytial Virus (RSV), and Enterovirus D68 (EV-D68) in wastewater. These pathogens may be shed in the wastewater before someone shows any symptoms, and individuals without symptoms can also shed virus particles. Testing wastewater provides complementary surveillance data to existing systems. The fields in this data table include: pcr_target: This column contains the pathogen name for the specific data record. utility: This column contains the names of the wastewater utilities participating in the wastewater surveillance program. measure_date: This column contains the date of sample collection. viral_raw_conc_LP1: This column contains the raw viral concentration of the sample (gene copies/Liter) using laboratory methods for lab phase 1. viral_raw_conc_LP2: This column contains the raw viral concentration of the sample (gene copies/Liter) using laboratory methods for lab phase 2. viral_raw_conc_LP3: This column contains the raw viral concentration of the sample (gene copies/Liter) using laboratory methods for lab phase 3. Lab_phase: This column contains the laboratory methods that were used during the period in which the sample was collected. Lab phase 1 refers to samples analyzed between August 1,2020 and July 13, 2023. Lab Phase 2 refers to samples analyzed between July 14, 2023 and September 29, 2024. Lab Phase 3 refers to samples analyzed on or after September 30, 2024.
Community Inclusion in Colorado: Resources

Purpose: The Community Inclusion in Colorado maps (CICOmaps) were created by the Colorado Department of Public Health and Environment and the University of Colorado Denver Center for Innovative Design and Engineering to enhance current emergency preparedness and response planning and resources by making location-based community information easy-to-access. They include the locations, service areas, and phone numbers of community providers and health care facilities. Data last updated in 2025. Update Schedule: Facility Resource locations and attributes last updated in 2025. Updated annually. URL: [Community Inclusion in Colorado] Field Description: * RESOURCE_NAME: Name of Resource Facility * MAP_LAYER_NAME: Resource Facility Type used for map symbolization * COUNTY: County name for Resource Facility * ADDRESS: Street Address of Resource Facility * CITY: City Name of Resource Facility * STATE: State Abbreviation (CO) * ZIP: Zip Code of Resource Facility * PHONE: Contact Phone Number for Resource Facility * Email: Email Address for Resource Facility * Notes: Additional text description for Resource Facility * Category: CMIST categorization for Resource Facility (Communication, Maintaining Health, Independence, Safety and Support Services, and/or Transportation) * Longitude: Longitude of Resource Facility * Latitude: Latitude of Resource Facility Accessibility Statement: [https://cdphe.colorado.gov/accessibility]
Bridges and Major Culverts

──────────────────────┬──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Description │The Structures layer is used primarily to reference structural features for GIS-based highway project planning. It is also used for reference within various GIS applications, such as OTIS. ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Last Update │2023 ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Update Frequency │As needed ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Data Owner │CDOT Staff Bridge ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Data Contact │Division of Transportation Development - GIS Support Unit ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Collection Method │ ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Projection │NAD83 / UTM zone 13N ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Coverage Area │Statewide ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Temporal │ ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Disclaimer/Limitations│There are no restrictions and legal prerequisites for using the data set. The State of Colorado assumes no liability relating to the completeness, correctness, or fitness for use of this data. ──────────────────────┴────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Law Enforcement Structures

Law Enforcement Structures This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey (USGS), displays police and prison landmarks in the U.S. Per the [USGS], "Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations." [NGDA _ Law Enforcement Structures _ 800x400 _ Screen Capture] Police Stations and Prison Correctional Facilities Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source ([Law Enforcement]) and will support mapping, analysis, data exports and OGC API – Feature access. NGDAID: [135 (USGS National Structures Dataset - USGS National Map Downloadable Data Collection)] OGC API Features Link: ([Law Enforcement Structures - OGC Features]) copy this link to embed it in OGC Compliant viewers For more information, please visit: [The National Map] For feedback please contact: [Esri_US_Federal_Data@esri.com] NGDA Theme Community This data set is part of the [NGDA Real Property Theme Community]. Per the Federal Geospatial Data Committee (FGDC), [Real Property] is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes." For other NGDA Content: [Esri Federal Datasets]
Highway Interchanges

──────────────────────┬──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Description │Interchange points were derived from the interchange polygon dataset. The exit number(s) associated │with an interchange are included in the attribute table. ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Last Update │2018 ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Update Frequency │As needed ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Data Owner │Division of Transportation Development ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Data Contact │GIS Support Unit ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Collection Method │ ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Projection │NAD83 / UTM zone 13N ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Coverage Area │Statewide ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Temporal │ ──────────────────────┼──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Disclaimer/Limitations│There are no restrictions and legal prerequisites for using the data set. The State of Colorado assumes no liability relating to the completeness, correctness, or fitness for use of this data. ──────────────────────┴────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Voting Districts

Voting Districts This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau (USCB), depicts Voting Districts (VTDs) in the United States and Puerto Rico. Per the [USCB], "VTDs refer to the generic name for geographic entities, such as precincts, wards, and election districts, established by state governments for the purpose of conducting elections.” [Voting Districts] Voting District 027 Danbury 1 (Ottawa County, OH) Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source ([Voting Districts]) and will support mapping, analysis, data exports and OGC API – Feature access. NGDAID: [63 (Series Information for 2020 Census Voting District (VTD) State-based TIGER/Line Shapefiles, Current)] OGC API Features Link: ([Voting Districts - OGC Features]) copy this link to embed it in OGC Compliant viewers For more information, please visit: [Voting Districts]; [My Congressional District] For feedback please contact: [Esri_US_Federal_Data@esri.com] NGDA Data Set This data set is part of the [NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community]. Per the Federal Geospatial Data Committee (FGDC), this [theme] is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes." For other NGDA Content: [Esri Federal Datasets]
Current Asthma Prevalence Among Adults by Colorado Census Tract

Purpose: This dataset contains the Colorado census tract level Current Asthma Prevalence Among Adults (2023) copied directly from the CDC Places Dataset. A multi-level regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability of having current asthma (reporting ‘yes’ to both of the questions, “Have you ever been told by a doctor, nurse, or other health professional that you have asthma?” and the question, “Do you still have asthma?”). The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. This dataset supports the CDPHE Community Health Equity Map application. Update Schedule and URL: This dataset is updated annually (September) as the [CDC PLACES] dataset is updated. Fields Description: * GEOID: 11-digit Census Tract FIPS Identifier * COUNTY: County Name * NAME: Census Tract Name * ASTHMA_ADJRATE: Current Asthma Prevalence Among Adults (2023, CDC Places) * ASTHMA_L95CI: Current Asthma Lower 95% Confidence Interval * ASTHMA_U95CI: Current Asthma Upper 95% Confidence Interval