AndreaBozzo/ceres-open-data-index huggingface dataset:
CTDOT Traffic Monitoring Data

A collection of layers maintained by the Traffic Monitoring Unit. The traffic signal control area polygons were developed by the CTDOT and updated by UConn and VHB. The feature class was developed by digitizing the area that represents the geographic extent of the signalized intersections. Attributes were migrated from the previous system and only the intersection number has been maintained. Long term plans are to remove some of the fields and migrate them to correct geographic asset in the signals data model. This will preserve the asset lifecycle.
Environmental Justice 2024 Set

Environmental Justice 2024 Set is comprised of two layers: Environmental Justice Block Groups 2024 and Environmental Justice Distressed Municipality 2024. All Census and ACS data used in the creation of these data are the latest available from the Census at time of calculation. Environmental Justice Block Groups 2024 was created from Connecticut block group boundary data located in the Census Bureau's 2024 Block Group TIGER/Line Shapefiles. The poverty data used to determine which block groups qualified as EJ communities (see CT State statute 22a-20a) was based on the Census Bureau's 2023 ACS 5-year estimate. This poverty data was joined with the block group boundaries in ArcPro. Block groups in which the percent of the population below 200% of the federal poverty level was greater than or equal to 30.0 were selected and the resulting selection was exported as a new shapefile. The block groups were then clipped so that only those block groups outside of distressed municipalities were displayed. Maintenance – This layer will be updated annually and will coincide with the annual distressed municipalities update (around August/September). The latest ACS 5-year estimate data should be used to update this layer. Environmental Justice Distressed Municipalities 2024 was created from the Connecticut town boundary data located in the Census Bureau's 2024 TIGER/Line Shapefiles (County Subdivisions). From this shapefile, "select by attribute" was used to select the distressed municipalities by town name (note: the list of 2024 distressed municipalities was provided by the CT Department of Economic and Community Development). The selection was then exported a new shapefile. The “Union” tool was used to unite the new shapefile with tribal lands (American Indian Area Geography) boundary data from the 2024 TIGER/Line files. In the resulting layer, the tribal lands were deleted so only the distressed municipalities remained. Maintenance – This layer will be updated annually when the DECD produces its new list of distressed municipalities. Note: A distressed municipality, as designated by the Connecticut Department of Economic and Community Development, includes municipalities that no longer meet the threshold requirements but are still in an eligibility grace period. (See definition at CGS Sec. 32-9p(b).) Fitting into that grace period, nine towns continue to be eligible for distressed municipality benefits. Those are Bristol, East Haven, Groton, Killingly, New Haven, North Stonington, Preston, Stratford, Voluntown.
Environmental Justice 2023 Set

Environmental Justice 2023 Set is comprised of two layers: Environmental Justice Block Groups 2023 and Environmental Justice Distressed Municipality 2023. All Census and ACS data used in the creation of these data are the latest available from the Census at time of calculation. Environmental Justice Block Groups 2023 was created from Connecticut block group boundary data located in the Census Bureau's 2022 Block Group TIGER/Line Shapefiles. The poverty data used to determine which block groups qualified as EJ communities (see CT State statute 22a-20a) was based on the Census Bureau's 2021 ACS 5-year estimate. This poverty data was joined with the block group boundaries in ArcPro. Block groups in which the percent of the population below 200% of the federal poverty level was greater than or equal to 30.0 were selected and the resulting selection was exported as a new shapefile. The block groups were then clipped so that only those block groups outside of distressed municipalities were displayed. Maintenance – This layer will be updated annually and will coincide with the annual distressed municipalities update (around August/September). The latest ACS 5-year estimate data should be used to update this layer. Environmental Justice Distressed Municipalities 2023 was created from the Connecticut town boundary data located in the Census Bureau's 2022 TIGER/Line Shapefiles (County Subdivisions). From this shapefile, "select by attribute" was used to select the distressed municipalities by town name (note: the list of 2023 distressed municipalities was provided by the CT Department of Economic and Community Development). The selection was then exported a new shapefile. The “Union” tool was used to unite the new shapefile with tribal lands (American Indian Area Geography) boundary data from the 2020 TIGER/Line files. In the resulting layer, the tribal lands were deleted so only the distressed municipalities remained. Maintenance – This layer will be updated annually when the DECD produces its new list of distressed municipalities (around August/September). Note: A distressed municipality, as designated by the Connecticut Department of Economic and Community Development, includes municipalities that no longer meet the threshold requirements but are still in a 5-year grace period. (See definition at CGS Sec. 32-9p(b).) Fitting into that grace period, ten towns continue to be eligible for distressed municipality benefits because they dropped off the list within the last five years. Those are Bristol, Enfield, Groton, Killingly, Naugatuck, New Haven, North Stonington, Plainfield, Preston, and Stratford.
2D Building Footprints

Connecticut Statewide Building footprints were created during the CT Statewide GIS Services lidar project. Building footprints are reviewed against lidar intensity imagery to verify completeness of capture. Dataset Description: The data was developed based on a horizontal datum/projection of NAD83 (2011), State Plane Connecticut, U.S. Survey Feet and vertical datum of NAVD88 (GEOID18), U.S. Survey Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 23,381 individual 2,500 ft x 2,500 ft tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 2,500 ft x 2,500 ft schema. Maximium Surface Height Raster and Swath Separation Image tiles 025645_se, 080655_ne, 085655_ne, 085655_nw, 090655_nw, 110660_se, and 135665_se do not exist in the deliverables due to all of the points in the cooresponding LAS tiles being flagged as withheld. LAS file 110660_se is all water and contains no lidar returns, this file does not exist in the deliverables. Ground Conditions: Lidar was collected in Spring 2023, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Dewberry established a total of 38 ground control points that were used to calibrate the lidar to known ground locations established throughout the CT Statewide GIS Services project area. An additional 247 independent accuracy checkpoints, 145 in Bare Earth and Urban landcovers (145 NVA points), 102 in Tall Grass and Brushland/Low Trees categories (102 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data Geographic Extent * Coverage: State of Connecticut Classifications * Sensitivity: Public * Usage: Public Use * Quality: High Quality * Known Quality Issues: None known, but subject to standard limitations of third-party commercial data Currency * Created: 2023 * Update Frequency: Per Flight * Last Updated: August 2023 Building Layer will be updated after the completion of the 2026 flight.
Broadband Availability by Tract 2025

# Broadband Availability Data — Tract-Level Summary ### What the dataset includes Location counts * Total broadband serviceable locations * Number of providers * Counts of unserved, underserved, and served locations * Locations capable of gigabit, near-gigabit, or meeting the state’s 1000/100 Mbps goal Technology availability * Presence of major FCC technology codes: copper/DSL (10), cable (40), fiber (50), and Fixed Wireless Access (71) * Percent of locations served by each technology type Speed statistics * Maximum, minimum, median, and 75th percentile advertised download and upload speeds Provider information * All providers present * Providers offering gigabit, ≥100/20 Mbps, or ≥1Gbps/100 Mbps service
Aquifer Protection Areas Set

See full Data Guide here. Aquifer Protection Areas Set is a 1:24,000-scale, polygon feature-based layer that includes all Preliminary (Level B) and Final (Level A) Aquifer Protection Areas approved by the Connecticut Department of Energy and Environmental Protection (DEEP). These areas represent the land area contributing ground water to active public water supply wells or well fields that serve more than 1000 people that are set in sand and gravel aquifers (stratified drift deposits). These areas are commonly referred to as wellhead protection areas. The Aquifer Protection Areas were delineated by the individual water utilities owning the well fields and submitted to the DEEP for approval. The preliminary mapping provides a general estimate of the area contributing ground water to the well field. The final mapping is based on extensive, site-specific, detailed modeling of the ground water flow system. As the final mapping is completed it replaces the preliminary mapping. The layer is based on information collected and compiled from 1991 to the present. The layer depicts current conditions. Attribute information is comprised of codes to uniquely identify individual features, encode the aquifer protection area type and status, and cartographically represent area features on a map. Data is compiled at 1:24,000 scale. This data is updated as final mapping becomes available.
Connecticut 1 Ft Contours

Contours are lines of equal elevation. This is a contour feature layer for the state of Connecticut derived from the index contour in the 1' contour data set. All closed polygons less than 35' length have been deleted to improve loading performance. This data set is derived from the 2023 Lidar with15 to 20 points per meter squared. Source: 1 foot contours were generated for each production block from the final bare earth DEMs using ArcGIS software. Contours are labeled as intermediate or index with index contours set to every 10th interval. Using ArcGIS software, the contours were validated for correct topology, including must not intersect, must not self intersect, and must not have dangles. Contours are then manually reviewed with the 3D breaklines to ensure complete coverage, correct coding, data integrity and that contours behave correctly around water bodies, water crossings, and elevated features such as overpasses. The contours are then clipped to individual tiles as creating one dataset for the entire project renders the feature class un-usable. Enclosed contours completely within building footprints were removed from the final contour dataset. Coordinate System: The data was developed based on a horizontal datum/projection of NAD83 (2011), State Plane Connecticut, U.S. Survey Feet and vertical datum of NAVD88 (GEOID18) Contours were cut by Town then merged into COGs Geographic Extent * Coverage: State of Connecticut Classifications * Sensitivity: Public * Usage: Public Use * Quality: High Quality * Known Quality Issues: None known, but subject to standard limitations of third-party commercial data Currency * Created: 2023 * Update Frequency: Per Flight * Last Updated: August 2023
Connecticut NWI Wetlands 2024

This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries.
CT Housing Data Hub - Housing Programs DOH

This feature layer represents the number of housing units in each Connecticut municipality that qualify under state-recognized affordable housing programs, as reported in the Department of Housing’s (DOH) Affordable Housing Appeals Procedure List. The data is spatialized by town for visualization and analysis in the Connecticut Housing Data Hub dashboard. CT Geodata Portal Housing landing page: [https://geodata.ct.gov/pages/housing] Open Data Portal DOH dataset: [https://data.ct.gov/Housing-and-Development/Affordable-Housing-by-Town-2011-2023/3udy-56vi/] Affordable Housing Appeals Listing website: [https://portal.ct.gov/doh/doh/programs/affordable-housing-appeals-listing] Geographic Extent * Coverage: State of Connecticut Classifications * Sensitivity: Public * Usage: Public Use * Quality: High Quality * Known Quality Issues: None Currency * Created: 2022 * Update Frequency: Annually * Last Updated: February 2026 Lineage * Originated: Connecticut Department of Housing, spatialized by CT GIS Office * Methodology: Data was pulled and processed using custom Python scripts that access the dataset on the Open Data Portal. * Notable Changes: Municipality geometry fields added. * Product Traceability: Data is displayed in the Connecticut Housing Data Hub and used in housing dashboards and story maps. Credits * Data Steward: Sarah Hurley (GIS Analyst, CT GIS Office)
CTDOT Municipalities

The CT Municipalities layer consists of individual polygons representing each of the 169 municipalities that make up the state of Connecticut. This feature class is based on the Towns layer originally created by CTDEEP from USGS maps. The towns from the CTDEEP data were dissolved to create 169 records (one for each town). Fields were added and deleted to create a generic schema. The CT Municipalities feature class was created in (municipality) alphabetical order. Fields were added to identify the municipality number and the CTDOT Municipality number, which differ from each other in some cases. In 1947 the town of Saybrook officially changed its name to Deep River. Other State agencies and municipalities changed their numbering systems to reflect this name change, however, most of what is now CTDOT kept their existing numbering system. This is why the CTDOT town number for Deep River is 122, the number formerly assigned to Saybrook. The square miles associated with each town are for their interior land mass area. Coastal communities have boundaries that extend into Long Island Sound. These town boundary extensions into Long Island Sound are not included in the square miles field. CTDOT has created and will maintain a cartographic rendering of the geometric shape of Municipal boundaries. Official Town and City designations as incorporated areas consisting of an authorized governing body are managed by CT's Office of Policy and Management (OPM). CTDOT has undertaken a good faith effort to represent the boundaries cartographically in a fair and equitable fashion, from the best available data compiled from existing state, regional, and local resources including - existing historical cartographic renderings of the boundary locations, supplemental survey information, and map submissions. Corrections can be submitted to the CTDOT for incorporation and correction where applicable. Attribution was assigned to designations managed by a variety of entities that strictly follow Municipal boundaries and additional designations will be added as requested by State, regional, and local partners.
CT Housing Data Hub - Decennial Change in Housing Units

This feature layer represents the count of housing units in each Connecticut municipality based on the 2010 and 2020 decennial census. The data is spatialized by town for visualization and analysis in the Connecticut Town Housing Dashboard. CT Geodata Portal Housing landing page: [https://geodata.ct.gov/pages/housing] Open Data Portal DOH dataset: [https://data.ct.gov/Housing-and-Development/Affordable-Housing-by-Town-2011-2023/3udy-56vi/] Affordable Housing Appeals Listing website: [https://portal.ct.gov/doh/doh/programs/affordable-housing-appeals-listing] Geographic Extent * Coverage: State of Connecticut Classifications * Sensitivity: Public * Usage: Public Use * Quality: High Quality * Known Quality Issues: None Currency * Created: 2022 * Update Frequency: As new data is published (every 10 years) * Last Updated: February 2025 Lineage * Originated: US Decennial Census * Methodology: Data was pulled and processed using custom Python scripts. * Product Traceability: Data is displayed in the Connecticut Town Housing Dashboard and used in housing dashboards and story maps. Credits * Data Steward: Sarah Hurley (GIS Analyst, CT GIS Office)
CT 2023 Elevation Lidar Intensity

This image service is available through [CTECO], a partnership between [UConn CLEAR] and [CT DEEP]. This layer is lidar point intensity covering the state of Connecticut. Lidar intensity is a measure of the return strength of each lidar point. Here, the points are converted to 1 foot pixels and values range from 1-256 where low numbers are low reflectivity and high numbers are high reflectivity. Intensity in influenced by reflectivity of the surface at the sensor wavelength (here, 1064nm which is near-infrared), view angle, range, surface composition, roughness, and moisture content and should therefore be used as a relative measure. Intensity is not influenced by sunlight or shadows. Visit the CT ECO [Map and Image Services ]page for a complete list of available elevation services. Dataset Information Extent: Connecticut Dates: 2023 (March 27 - April 13), between snow melt and leaf out Data Info: statewide raster of lidar point density Pixel Resolution: 1 foot pixel raster derived from QL1+ Lidar point cloud with a minimum of 15 points per square meter inland and 20 points per square meter along the coast. Projection: CT State Plane NAD 83 (2011) Feet (EPSG 6434) Service Projection: WGS 1984 Web Mercator Auxiliary Sphere (EPSG 3857) More Information - [All About the 2023 Data Collection] (Imagery and Lidar) - [All about Connecticut Lidar Elevation] - [Lidar Elevation on CT ECO Explained] - [Metadata] [xml format] - [Download DEM and points] Credit and Funding