AndreaBozzo/ceres-open-data-index huggingface dataset:
CT 2016 Summer Aerial Imagery (NAIP, 4-band, 0.6 meter)

This image service is available through <a href='https://cteco.uconn.edu/' target='_blank' rel='nofollow ugc noopener noreferrer'>CTECO</a>, a partnership between <a href='https://clear.uconn.edu/' target='_blank' rel='nofollow ugc noopener noreferrer'>UConn CLEAR</a> and <a href='https://portal.ct.gov/DEEP/GIS-and-Maps/Data/GIS-DATA' target='_blank' rel='nofollow ugc noopener noreferrer'>CT DEEP</a>. It is a virtual mosaic of GeoTIFF tiles of Connecticut.<div><br /></div><div><b><font color='#104C9B'>Dataset Information</font></b></div><div><b>Extent:</b> Connecticut </div><div><b>Dates:</b> 2016 (July 3-August 3), leaf on </div><div><b>Bands:</b> 4 (red, green, blue, near-infrared) </div><div><b>Pixel resolution:</b> 0.6 meter</div><div><b>Image Tile Projection: </b>NAD 83 UTM Zone 18N and 19N</div><div><b>Service Projection:</b> WGS 1984 Web Mercator Auxiliary Sphere (EPSG 3857)<br /></div><div><b>Tide Coordinated:</b> No </div><div><br /></div><div><font color='#104C9B'><b>More Information </b></font></div><div>- <a href='https://cteco.uconn.edu/data/imagery/index.htm' target='_blank' rel='nofollow ugc noopener noreferrer'>All about Aerial Imagery on CT ECO</a><br /></div><div>- <a href='https://cteco.uconn.edu/metadata/dep/document/ortho_2016_4band_naip.txt' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a> </div><div><br /></div> <div><b><font color='#104C9B'>Credit and Funding </font></b></div><div>National Agriculture Imagery Program (NAIP), United States Department of Agriculture’s Farm Service Agency (USDA FSA)</div>
Local Emergency Planning Committees (LEPC)

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>In May 1987, pursuant to Section 22a-601(b) of the Connecticut General Statutes (CGS), the State Emergency Response Commission (SERC) designated local planning districts by notifying the Chief Elected Official in each municipality that each municipality was designated as a Local Emergency Planning Committee (LEPC).  Since that time, many municipalities have joined together to form regional emergency planning committees.  The SERC works to continuously update LEPC designations to reflect actual working relationships between towns and within regions to ensure the designation of the LEPC reflects the reality of each town's emergency preparedness and response capabilities. This dataset is updated quarterly. </span>
Environmental Sensitivity Index 2002 Lines

Environmental Sensitivity Index 2002 Set:

This data set contains vector lines representing the shoreline and coastal habitats of Connecticut classified according to the Environmental Sensitivity Index (ESI) classification system. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.The ESI data were collected, mapped, and digitized to provide environmental data for oil spill planning and response. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive resources.

This data set contains vector polygons representing the shoreline and coastal habitats of Connecticut classified according to the Environmental Sensitivity Index (ESI) classification system. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. The ESI data were collected, mapped, and digitized to provide environmental data for oil spill planning and response. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive resources.
Subregional Drainage Basin Direction

A standardized mapping of natural drainage basins in Connecticut was completed in 1981 by the Connecticut Department of Environmental Protection (DEP). This drainage basin system divided Connecticut into 8 major basins, 45 regional basins, 337 subregional basins, 2,898 local basins, and 7,067 small drainage basin areas. The statewide mapping of natural drainage basins established a hierarchical system of basins based on drainage area size with large major basins subdivided into regional basins, regional basins subdivided into subregional basins, subregional basins subdivided into local basins, and local basins subdivided into smaller and more numerous drainage basin areas. It includes watersheds for Connecticut rivers, streams, brooks, lakes, reservoirs and ponds included on 1:24,000-scale 7.5 minute topographic quadrangle maps published by the U.S. Geological Survey (USGS) between 1969 and 1984. These basin units include smaller watersheds that drain into many of the small streams and ponds in Connecticut. These basin areas are the building blocks for the larger local, subregional, regional and major drainage basins defined by DEP.

Connecticut Subregional Drainage Basins includes 337 drainage basin areas, the majority of which range from 5 to 70 square miles in size and make up, in order of increasing size the larger regional and major drainage basin areas. The subregional basin number (SBAS_NO) uniquely identifies individual subregional drainage basins and is 4 characters in length. There are 335 unique subregional basin numbers. Examples include 6000 for the Housatonic River Main Stem Subregional Basin, 4300 for the Farmington River Subregional Basin, and 6002 for the Schenob Brook Subregional Basin. The first digit (column 1) designates the major basin, the first two digits (columns 1-2) designate the regional basin, and the first 4 digits (columns 1-4) designate the subregional basin. Note, there are slightly more subregional basin areas delineated (374) than unique subregional basin numbers (335) primarily due to a few stream confluences that split the same local basin into two areas. Refer to the Connecticut Subregional Drainage Basin GIS metadata for more information about drainage basin numbers.

Included with the subregional drainage basin boundaries are Subregional Drainage Basins Direction arrows that depict the general direction of surface water flow towards indivicual subregional drainage basin outlets. Theses arrows are meant to indicate where one basin drains into another and are intended aid in visualizing the network of subregional drainage basins in Connecticut. They do not depict the exact location of basin outlets.

These basin boundaries are the digital equivalent of the major, regional and subregional drainage basin boundaries published on the 1:125,000-scale state map entitled Natural Drainage Basins in Connecticut, McElroy, 1981.
Municipal Fiscal Indicators: Connecticut Totals and Averages, 2014-2023

Municipal Fiscal Indicators is an annual compendium of information compiled by the Office of Policy and Management, Office of Finance, Municipal Finance Services Unit (MFS). Municipal Fiscal Indicators contains the most current financial data available for each of Connecticut's 169 municipalities.

The data contained in Indicators provides key financial and demographic information on municipalities in Connecticut. The data includes selected demographic and economic data relating to, or having an impact upon, a municipality’s financial condition.


The majority of this data was compiled from the audited financial statements that are filed annually with the State of Connecticut, Office of Policy and Management, Office of Finance. Unlike prior years' where the audited financial information was compiled by OPM, the FY 2020 and beyond information in this edition was based upon the self-reporting by municipalities of their own audited data.

The most recent edition is for the Fiscal Years Ended 2019-2023 published in September 2025.

The most recent data on the Municipal Fiscal Indicators is included in the following datasets:

The most recent data on the Municipal Fiscal Indicators is included in the following datasets:

Municipal-Fiscal-Indicators: Financial Statement Information, 2020-2023
https://data.ct.gov/d/d6pe-dw46

Municipal-Fiscal-Indicators: Uniform Chart of Accounts, 2020-2023
https://data.ct.gov/d/e2qt-k238

Municipal Fiscal Indicators: Pension Funding Information for Defined Benefit Pension Plans, 2020-2023
https://data.ct.gov/d/73q3-sgr8

Municipal Fiscal Indicators: Type and Number of Pension Plans, 2020-2023
https://data.ct.gov/d/i84g-vvfb

Municipal Fiscal Indicators: Other Post-Employment Benefits (OPEB), 2020-2023
https://data.ct.gov/d/ei7n-pnn9

Municipal Fiscal Indicators: Economic and Grand List Data, 2019-2025
https://data.ct.gov/d/xgef-f6jp

Municipal Fiscal Indicators: Benchmark Labor Data, 2019-2024
https://data.ct.gov/d/5ijb-j6bn

Municipal Fiscal Indicators: Bond Ratings, 2019-2023
https://data.ct.gov/d/a65i-iag5

Municipal Fiscal Indicators: Individual Town Data, 2014-2023
https://data.ct.gov/d/ej6f-y2wf

Municipal Fiscal Indicators: Totals and Averages, 2014-2023
https://data.ct.gov/d/ryvc-y5rf
Accidental Drug Related Deaths 2012-2024

A listing of each accidental death associated with drug overdose in Connecticut from 2012 to 2024. A "Y" value under the different substance columns indicates that particular substance was detected.

Data are derived from an investigation by the Office of the Chief Medical Examiner which includes the toxicity report, death certificate, as well as a scene investigation.

The “Morphine (Not Heroin)” values are related to the differences between how Morphine and Heroin are metabolized and therefor detected in the toxicity results. Heroin metabolizes to 6-MAM which then metabolizes to morphine.  6-MAM is unique to heroin, and has a short half-life (as does heroin itself). Thus, in some heroin deaths, the toxicity results will not indicate whether the morphine is from heroin or prescription morphine. In these cases the Medical Examiner may be able to determine the cause based on the scene investigation (such as  finding heroin needles). If they find prescription morphine at the scene it is certified as “Morphine (not heroin).”  Therefor, the Cause of Death may indicate Morphine, but the Heroin or Morphine (Not Heroin) may not be indicated.

 “Any Opioid” – If the Medical Examiner cannot conclude whether it’s RX Morphine or heroin based morphine in the toxicity results, that column may be checked
Telecommunications Services Companies' Tax Liability

The Office of Policy and Management determines the annual personal property tax liability of telecommunications services companies that are subject to taxation under §12-80a and §12-80b of the Connecticut General Statutes (CGS).  CGS Section 12-80a allows telecommunications services companies to have their personal property assessed by the state, rather than by the assessor of the city or town in which the property is located. These companies issue personal property tax payments directly to municipalities.
CT High Value Data Inventory

Catalog of high value data inventories produced by Connecticut executive branch agencies, pursuant to <a href="https://www.cga.ct.gov/current/pub/chap_050.htm#sec_4-67p"> Connecticut General Statutes Section 4-67p</a>. 

Executive branch agencies update their high value data inventories annually in December. This dataset was last collected in December of 2023. 

High value data is defined as any data that the department head determines (A) is critical to the operation of an executive branch agency; (B) can increase executive branch agency accountability and responsiveness; (C) can improve public knowledge of the executive branch agency and its operations; (D) can further the core mission of the executive branch agency; (E) can create economic opportunity; (F) is frequently requested by the public; (G) responds to a need and demand as identified by the agency through public consultation; or (H) is used to satisfy any legislative or other reporting requirements.
Impaired River 2014

<p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>Connecticut 303(d) Impaired Waters 2014 is a subset of Connecticut 305(b) Assessed Waters 2014. If any one of the assigned designated uses is categorized as NOT Supporting, the assessed waterbody is included in this subset and is considered impaired. Additional information about Integrated Water Quality reporting is available on the CT DEEP website, <a href='https://portal.ct.gov/DEEP/Water/Water-Quality/Water-Quality-305b-Report-to-Congress' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' rel='nofollow ugc'>Integrated Water Quality Report</a> page. </font></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>Connecticut 305(b) Assessed Waters files includes rivers, lakes and estuaries that have been assessed in compliance with Sections 305(b) and 303(d) of the federal Clean Water Act. Section 305(b) of the Clean Water Act requires each state to monitor, assess and report on the quality of its waters relative to attainment of designated uses established by the State's water quality standards. Section 303(d) requires each State to compile a subset of that list identifying only those waters not meeting water quality standards and assign a Total Maximum Daily Load (TMDL) priority ranking to each impaired waterbody.</font></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>This assessment is based on information collected and compiled prior to 2014. It represents conditions at a particular point in time and does not represent current conditions. Depending on the type of waterbody - river, lake, or estuary - this information geographically displays attainment and non-attainment (e.g. full supporting, not supporting, not assessed) for each designated use - aquatic life, marine aquatic life, recreation use, fish consumption, shellfish harvesting, and drinking water supply.</font></p>
Revolutionary War Pension Applications Index, 1789-1853

In the early decades of the 19th century many aging Revolutionary War veterans lived in poverty. Congress, in an attempt to provide for those who had served their country, passed a landmark act granting pensions to impoverished veterans of the Revolutionary War in 1818. The act was significant in that it granted fixed lifetime pensions not just to officers, but to enlisted men as well. The result was a surge of over 20,000 applications.

There were so many applications that Congress passed an amendment to the pension act in 1820 that required applicants to submit schedules of their property to prove need. The amended act also allowed the Secretary of War to strike those from the pension list that he determined did not qualify. Over 5,000 names were dropped from the rolls.

Connecticut veterans whose pensions were revoked could, through their local county or superior courts, challenge the ruling of the Secretary of War by submitting assessments of their property by a disinterested third party and sworn testimony. The collection of pension applications in the Connecticut State Archives is almost entirely this kind of document.

These applications usually contain a service record for the veteran in question, as well as information about his property, debts, occupation, and dependent family. The listing of family, which often included the names and ages of the veteran’s wife and children, is especially valuable for genealogical research.

There are about 500 entries in this index, which covers pension applications made from 1820 to the 1850s. Enter the information you have for each field below, or search by keyword. The name of the court and the box number for the original document is listed for researchers who want to examine it.

People may request a copy of a file by contacting the staff of the History & Genealogy Unit by telephone (860) 757-6580 or <a href="https://portal.ct.gov/csl/email-us?language=en_US">email</a>.  When requesting a copy of a record, please include the name of the individual, date, and the specific court.  Please understand that some files are extremely fragile and may not be able to be reproduced and/or read with ease.

For more information about the judicial records stored at the Connecticut State Library, please see the on-line guide to <a href="https://cslarchives.ctstatelibrary.org/repositories/2/classification_terms/438">Connecticut State Archives Record Group 003, Judicial Records</a>.
CT School Learning Model Indicators by County (7-day metrics) - ARCHIVE

DPH note about change from 7-day to 14-day metrics:
As of 10/15/2020, this dataset is no longer being updated. Starting on 10/15/2020, the school learning model indicator metrics will be calculated using a 14-day average rather than a 7-day average. The new school learning model indicators dataset using 14-day averages can be accessed here: https://data.ct.gov/Health-and-Human-Services/CT-School-Learning-Model-Indicators-by-County-14-d/e4bh-ax24

As you know, we are learning more about COVID-19 all the time, including the best ways to measure COVID-19 activity in our communities. CT DPH has decided to shift to 14-day rates because these are more stable, particularly at the town level, as compared to 7-day rates. In addition, since the school indicators were initially published by DPH last summer, CDC has recommended 14-day rates and other states (e.g., Massachusetts) have started to implement 14-day metrics for monitoring COVID transmission as well.

With respect to geography, we also have learned that many people are looking at the town-level data to inform decision making, despite emphasis on the county-level metrics in the published addenda. This is understandable as there has been variation within counties in COVID-19 activity (for example, rates that are higher in one town than in most other towns in the county).

This dataset includes the leading and secondary metrics identified by the Connecticut Department of Health (DPH) and the Department of Education (CSDE) to support local district decision-making on the level of in-person, hybrid (blended), and remote learning model for Pre K-12 education. 

Data represent daily averages for each week by date of specimen collection (cases and positivity), date of hospital admission, or date of ED visit. Hospitalization data come from the Connecticut Hospital Association and are based on hospital location, not county of patient residence. COVID-19-like illness includes fever and cough or shortness of breath or difficulty breathing or the presence of coronavirus diagnosis code and excludes patients with influenza-like illness. All data are preliminary.

These data are updated weekly; the previous week period for each dataset is the previous Sunday-Saturday, known as an MMWR week (https://wwwn.cdc.gov/nndss/document/MMWR_week_overview.pdf). The date listed is the date the dataset was last updated and corresponds to a reporting period of the previous MMWR week. For instance, the data for 8/20/2020 corresponds to a reporting period of 8/9/2020-8/15/2020.

These metrics were adapted from recommendations by the Harvard Global Institute and supplemented by existing DPH measures.

For national data on COVID-19, see COVID View, the national weekly surveillance summary of U.S. COVID-19 activity, at https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html

Notes:
9/25/2020: Data for Mansfield and Middletown for the week of Sept 13-19 were unavailable at the time of reporting due to delays in lab reporting.
CT 2015 Land Cover

This service is published by <a href='https://clear.uconn.edu' target='_blank' rel='nofollow ugc noopener noreferrer'>UConn CLEAR</a> and is made available on <a href='https://cteco.uconn.edu' target='_blank' rel='nofollow ugc noopener noreferrer'>CTECO</a>. The thematic raster has multiple classes that represent different land covers. This dataset is part of <a href='https://clear.uconn.edu/projects/landscape/' target='_blank' rel='nofollow ugc noopener noreferrer'>Changing Landscape</a> series which includes 7 dates of land cover spanning 30 years, from 1985 to 2015, including change and statistics.  <div><br /><div><div><font color='#104c9b'><b>2015 Land Cover</b></font><b><font color='#104C9B'> Dataset</font></b></div><div><div><b>Extent:</b> Connecticut</div><div><div><b>Classes:</b> 12 classes include developed, turf &amp; grass, other grasses, agricultural field, deciduous forest, coniferous forest, water, non-forested wetland, forested wetland, tidal wetland, barren and utility right-of-way. See <a href='https://clear.uconn.edu/projects/landscape/classes/' target='_blank' rel='nofollow ugc noopener noreferrer'>Land Cover Classes</a> for detailed descriptions. </div><div><b>Date:</b> Land cover created from 2015 Landsat satellite imagery</div></div><div><b>Pixel Resolution: </b>100 feet</div><div><b>Projection: </b>CT State Plane NAD 83 feet (EPSG 2234)</div></div><div><br /></div><div><b><font color='#104C9B'>More Information</font></b></div><div>- <a href='https://clear.uconn.edu/projects/landscape/classes/' target='_blank' rel='nofollow ugc noopener noreferrer'>Land Cover Classes</a></div><div>- <a href='https://clear.uconn.edu/projects/landscape/about/faq/' target='_blank' rel='nofollow ugc noopener noreferrer'>Land Cover FAQs</a><br /></div><div>- <a href='https://s.uconn.edu/landcoverviewer' target='_blank' rel='nofollow ugc noopener noreferrer'>Land Cover Viewer</a></div><div>- <a href='https://clear.uconn.edu/projects/landscape/ct-stats/' target='_blank' rel='nofollow ugc noopener noreferrer'>Numbers and Charts</a></div><div>- <a href='https://clear.uconn.edu/projects/landscape/about/metadata/' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata </a></div><div>- <a href='https://clear.uconn.edu/projects/landscape/download/' target='_blank' rel='nofollow ugc noopener noreferrer'>Download</a></div><div><div><b><font color='#104C9B'><br /></font></b></div><div><b><font color='#104C9B'>Credit and Funding</font></b><br /></div><div>CLEAR's Changing Landscape has been comprised of a series of projects funded over its 20 year extent by both state and federal agencies, and by support from the University of Connecticut. It is not practicable to list the specifics of each grant separately, but funding agencies include U.S. Environmental Protection Agency, National Aeronautics and Space Administration (NASA), National Oceanic and Atmospheric Administration (NOAA), Long Island Sound Study, New England Interstate Water Pollution Control Commission, and the Connecticut Department of Energy and Environmental Protection.</div></div></div></div>
Roadway

A custom basemap created for internal Connecticut Department of Transportation in web apps and maps.<div><br /></div><div>The basemap represents the most recent and active Public Road Network as maintained by the Bureau of Policy &amp; Planning's Roadway Inventory Unit and is updated on an annual basis.</div><div><br /></div><div>Map styling mimics the format of an Open Street Maps style basemap and routes are differentiated by their prefix (e.g. Interstate, US, CT, etc.) with local roads sharing the same symbiology across the state.</div><div><br /></div><div><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>At closer zoom levels, ortho imagery from 2019 appears within the map extent.</span><br /></div>