AndreaBozzo/ceres-open-data-index huggingface dataset:
Bedrock Geology Contacts

Bedrock Geology Set is a 1:50,000-scale, polygon and line feature-based layer describing the solid material that underlies the soil or other unconsolidated material of the earth for Connecticut. Bedrock geologic formations are described as polygons in terms of formation name (incorporating geologic age), rock type, and tectonic terrane association. Tectonic forces are responsible for the present day geologic configuration of the continents. Resulting terranes are regionally fault bounded rocks of a similar tectonic history. Each terrane is named after its plate tectonics ancestry. Geologic lines include contacts, faults, and terrane boundaries. Terrane boundaries are named for the faults involved. The geologic contacts and faults are delineated and classified by type. Polygon feature attribute information is comprised of codes to identify individual bedrock geologic units, their formation name, description and size. Line feature attributes identify, name and describe bedrock contacts, faults and terrane boundaries between these bedrock geologic units. Data is compiled at 1:50,000 scale and is not updated. A complete description of the bedrock mapping units with mineralogical descriptions and a brief history of Connecticut geology are included in the Supplemental Information Section for reference.

Connecticut Bedrock Geology is a 1:50,000-scale, polygon and line feature-based layer describing the solid material that underlies the soil or other unconsolidated material of the earth for Connecticut. Bedrock geologic formations are described as polygons in terms of formation name (incorporating geologic age), rock type, and tectonic terrane association. Tectonic forces are responsible for the present day geologic configuration of the continents. Resulting terranes are regionally fault bounded rocks of a similar tectonic history. Each terrane is named after its plate tectonics ancestry. Geologic lines include contacts, faults, and terrane boundaries. Terrane boundaries are named for the faults involved. The geologic contacts and faults are delineated and classified by type. Polygon feature attribute information is comprised of codes to identify individual bedrock geologic units, their formation name, description and size. Line feature attributes identify, name and describe bedrock contacts, faults and terrane boundaries between these bedrock geologic units. Data is compiled at 1:50,000 scale and is not updated. A complete description of the bedrock mapping units with mineralogical descriptions and a brief history of Connecticut geology are included in the Supplemental Information Section for reference.
Environmental Justice Block Groups 2021

Environmental Justice Block Groups 2021 was created from Connecticut block group boundary data located in the Census Bureau's 2019 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 2019 ACS 5-year estimate- Table C17002. This poverty data was joined with the block group boundaries in ArcMap. 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 2021 was created from Connecticut town boundary data located in the Census Bureau's 2019 TIGER/Line Shapefiles (County Subdivisions). <div><br /></div><div>From this shapefile, &quot;select by attribute&quot; was used to select the distressed municipalities by town name (note: the list of 2021 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 2019 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).</div>
COVID-19 Cases and Deaths in Nursing Homes by Facility - ARCHIVE

As of 6/1/2023, this data set is no longer being updated.

Connecticut nursing homes are required by the Centers for Medicare and Medicaid Services (CMS) to report on the impact of COVID-19 on their residents and staff through CDC’s National Healthcare Safety Network (NHSN). This reporting is intended to reflect recent COVID-19 activity in nursing homes.

Data presented here from NHSN reflect resident and staff COVID-19 cases and COVID-related deaths reported for Connecticut nursing homes for the previous week, Thursday–Wednesday. All nursing homes follow NHSN definitions and instructions when reporting to the NHSN COVID-19 module, ensuring data are reported in a systematic way. These data do not show where the resident or staff got infected.

Detailed information about COVID-19 reporting for nursing homes and NHSN can be found here: https://www.cdc.gov/nhsn/ltc/covid19/index.html
School Attendance by District, 2020-2021

This dataset includes the attendance rate for public school students PK-12 by district during the 2020-2021 school year.

Attendance rates are provided for each district for the overall student population and for the high needs student population. Students who are considered high needs include students who are English language learners, who receive special education, or who qualify for free and reduced lunch.

When no attendance data is displayed in a cell, data have been suppressed to safeguard student confidentiality, or to ensure that statistics based on a very small sample size are not interpreted as equally representative as those based on a sufficiently larger sample size. For more information on CSDE data suppression policies, please visit http://edsight.ct.gov/relatedreports/BDCRE%20Data%20Suppression%20Rules.pdf.
College Enrollment, Credit Attainment and Remediation of High School Graduates by District

The data here is from the report entitled Trends in Enrollment, Credit Attainment, and Remediation at Connecticut Public Universities and Community Colleges: Results from P20WIN for the High School Graduating Classes of 2010 through 2016. 

The report answers three questions:
1. Enrollment: What percentage of the graduating class enrolled in a Connecticut public university or community college (UCONN, the four Connecticut State Universities, and 12 Connecticut community colleges) within 16 months of graduation?
2. Credit Attainment: What percentage of those who enrolled in a Connecticut public university or community college within 16 months of graduation earned at least one year’s worth of credits (24 or more) within two years of enrollment?
3. Remediation: What percentage of those who enrolled in one of the four Connecticut State Universities or one of the 12 community colleges within 16 months of graduation took a remedial course within two years of enrollment?

Notes on the data: 
District Credit: % Earning 24 Credits is a subset of the % Earning 16 Credits 
District Remed: % Enrolled in Remediation is a subset of the % Enrolled in 16 Months
2024-2025 Vaccine Exemption Rates by School (All Grades)

The annual pre-kindergarten (pre-K) through 12th grade school immunization survey collects school-level, grade-specific data on vaccine coverage and exemptions. The survey collects vaccination and exemption status data on children who entered the school system on or before a specified date during the fall semester. Individual vaccine information on each student is not collected.

This table shows the total percentage of vaccination exemptions (medical or religious) for each school. Data includes all schools who reported data students in any grade level Pre-K through twelve.

The values for schools with fewer than 30 enrolled students are suppressed, and those fields are left blank

Data Limitations and Considerations:
• The school level data shown here are as tabulated and reported by schools and discrepancies may exist.
• The Immunization Program identifies outliers and internally inconsistent data points and works with schools to resolve any data quality issues, when possible.
• CT DPH cannot verify the accuracy of vaccine data for individual children or whether the documentation necessary to claim an exemption has been submitted.
• Data are collected at the beginning of the school year, by which time vaccines are due. As the year progresses, immunization rates may increase as additional children receive required immunizations. Additionally, the student body is dynamic and as students arrive and leave school, the immunization rates are impacted.
• Vaccine status is assessed on the level of the child and not on each vaccine. Once a child is listed as exempt, vaccination data is no longer collected in the survey for that child. Therefore, children with exemptions are not counted as vaccinated in the vaccine level assessments although they may have received some vaccines.
CT Urban Areas 2008 Spring Aerial Imagery (3-band, 1 foot)

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>.  This dataset covers the greater urban areas of Bridgeport, Hartford, and New Haven.<div><div><br /></div><div><b><font color='#104C9B'>Dataset Information</font></b></div><div><b>Extent:</b> greater urban areas of Bridgeport, Hartford, and New Haven CT</div><div><b>Dates:</b> 2008, April, leaf off</div><div><b>Bands:</b> 3 (red, green, blue) </div><div><b>Pixel resolution:</b> 1 foot</div><div><b>Projection: </b>CT State Plane NAD83 Feet (EPSG 2234) </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/guides/Ortho_2008_Color_USGS_Urban_Area.htm' target='_blank' rel='nofollow ugc noopener noreferrer'>2008 Urban Area Color Orthophotography</a></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/FileGDB_ORTHO_2008_COLOR_USGS_URBAN_AREA_FGDC_Plus.htm' 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>U.S. Geological Survey (USGS), Connecticut Department of Energy and Environmental Protection (CT DEEP</div></div>
Reunifications by SFY, DCF Office, Race and Length of Stay

This dataset contains aggregate data concerning the number of children that exited DCF care to be Reunified with a parent/guardian from whom they had been removed.  These figures are broken out by the DCF Region and Office responsible for the child's care, by their Age Group, and by whether they had been Reunified within 12 months of their entry to care or not.  It would be appropriate to roll up the data from all variables across multiple time periods, as they represent specific events in the lives of these children.  Please note that these figures do not represent unique children, and so should not be used as the basis for creating a rate based on the child population of the state.  These data form the basis of measurement for the Juan F. Consent Decree Exit Plan Outcome #7: Reunification Within 12 Months, although those figures are reported to the DCF Court Monitor on a quarterly rather than annual schedule.
Impaired Estuary 2020

<p><font size='2'>Connecticut 303(d) Impaired Waters 2020 is a subset of
Connecticut 305(b) Assessed Waters 2020. 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' rel='nofollow ugc'>Integrated
Water Quality Report</a> page. </font></p>

<p><font size='2'>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><font size='2'>This assessment is based on information collected and compiled
prior to 2020. 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>
Connecticut Dams - Public Use

Connecticut Dams is a 1:24,000 scale spatial data developed for use by the Dam Safety Section of the Inland Water Resources Division, Bureau of Water Protection and Land Reuse, Department of Environmental Protection, State of Connecticut. The Dam Safety Section of the Inland Water Resources Division is charged with the responsibility for administration and enforcement of Connecticut's dam safety laws. The existing statutes require that permits be obtained to construct, repair or alter dams, dikes or similar structures and that existing dams, dikes and similar structures be registered and periodically inspected to assure that their continued operation and use does not constitute a hazard to life, health or property. The dam safety statutes are codified in Section 22a-401 through 22a-411 inclusive of the Connecticut General Statutes. Sections 22a-409-1 and 22a-409-2 of the Regulations of Connecticut State Agencies, have been enacted which govern the registration, classification, and inspection of dams. The Connecticut Dams data depict the locations of dams throughout the state of Connecticut. The information may be dated in some instances and is best used in conjunction with other 1:24,000 scale data such as hydrography, drainage basins, and political boundaries. Attribute information includes a unique dam number and dam hazard classification that rates the potential hazard to life and property as defined by Connecticut State Statute (Section 22a-409-1d), in the event of a dam breach. This information is not intended to be used or printed at map scales greater or more detailed than 1:24,000 scale (1 in. = 2,000 ft.).
Coastal CT 2004 Summer Aerial Imagery (3-band, 1 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>. This dataset covers Connecticut's coastal towns. <div><br /></div><div><b><font color='#104C9B'>Dataset Information</font></b></div><div><b>Extent:</b> Coastal Connecticut towns</div><div><b>Dates:</b> 2004 (September 20 - September 22), leaf on</div><div><b>Bands:</b> 3 (red, green, blue) </div><div><b>Pixel resolution:</b> 0.5 meter</div><div><b>Projection: </b>CT State Plane NAD83 Feet (EPSG 2234) </div><div><b>Service Projection: </b>WGS 1984 Web Mercator Auxiliary Sphere (EPSG 3857)<br /></div><div><b>Tide Coordinated:</b> Yes </div><div><br /></div><div><font color='#104C9B'><b>More Information </b></font></div><div>- <a href='https://cteco.uconn.edu/guides/Ortho_2004_Coast_Color.htm' target='_blank' rel='nofollow ugc noopener noreferrer'>2004 Coastal Orthoimagery page on CT ECO</a></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_2004_coast_color_fgdc_plus.htm' 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>NOAA Coastal Services Center (CSC), U.S. Geological Survey (USGS)</div>
HUC Watershed Poly

<div><span style='font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, system-ui, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Segoe UI Web&quot;, sans-serif; font-size:14px;'>This data set is a digital hydrologic unit boundary layer that is at the Subwatershed (12-digit) level. The original data set was developed by delineating the boundary lines on base USGS 1:24000 scale topographic quadrangle, and digitizing the delineated lines. Digital Raster Graphics (DRG) images were used for edits to the data layer.</span></div><div><span><span style='font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, system-ui, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Segoe UI Web&quot;, sans-serif; font-size:14px;'><p>This data set consists of geo-referenced digital map data and attribute data. The spatial data are in a statewide coverage format and include complete coverage of the entire state of Connecticut, and small parts of surrounding states. The hydrologic unit ID code attached to each delineated polygon is linked to the attribute data.<br /><br /></p> </span></span></div>
Connecticut Personal Income Tax Summary

Beginning with tax year ("TY") 2021, this data asset will be the new home for the "Individual Income Tax Reports" which were previously uploaded to the Department of Revenue Services ("DRS") page of the state website. Connecticut imposes a tax on income earned by resident individuals, trusts, and estates. Nonresidents and part-year resident individuals, trusts, and estates are also subject to the tax on income derived from or connected with sources within the State.
Birth to Three Cohort Data

This dataset contains town level and statewide totals information on the number of infants and toddlers referred, evaluated, determined eligible, and had an Individual Family Service Plan (IFSP) developed through the Connecticut Birth to Three (B23) System.  Data can be viewed by birth cohort year.  See data element definitions listed in detail below. 
 
Included data are collected by the Office of Early Childhood (OEC) as the lead agency for the B23 System, in accordance with Part C of the federal Individuals with Disabilities Education Act (IDEA) and CGS  17a-248.   
 
For more information regarding B23 data, please visit https://www.birth23.org/how-are-we-doing/data/ 
 
Note: Data fields with a value of 5 or lower (<6) during the reporting period have been suppressed to protect confidentiality, as denoted with a “-99.99”.
Education Directory

This dataset contains the official listing of all public educational organizations in Connecticut.  Data elements include district name, school name, organization type, organization code, address, open date, interdistrict magnet status and grades offered.

Included data are collected by the CT State Department of Education (CSDE) through the Directory Manager (DM) portal in accordance with Connecticut General Statute (C.G.S.) 10-4. This critical information is used by other data collection systems and for state and federal reporting. 

For more information regarding DM, please visit http://www.csde.state.ct.us/public/directorymanager/default.asp
Positive Linear Regression Rates (meters/year)

Shorelines are continuously moving in response to winds, waves, tides, sediment supply, changes in relative sea level, and human activities. Shoreline changes are generally not constant through time and frequently switch from negative (erosion) to positive (accretion) and vice versa. Cyclic and non-cyclic processes change the position of the shoreline over a variety of timescales, from the daily and seasonal effects of winds and waves, to changes in sea level over a century to thousands of years. The shoreline "rate of change" statistic thus reflects a cumulative summary of the processes that altered the shoreline for the time period analyzed.
Environmental Monitoring Results for Radioactivity: Air Samples

-	 Reporting units of sample results [where 1 picoCurie (pCi) = 1 trillionth (1E-12) Curie (Ci)]:
•	Air Samples are reported in pCi/m&#179;.

-	Data Quality Disclaimer:
This database is for informational use and is not a controlled quality database.  Efforts have been made to ensure accuracy of data in the database; however, errors and omissions may occur. 

Examples of potential errors include:
•	Data entry errors.
•	Lab results not reported for entry into the database.
•	Missing results due to equipment failure or unable to retrieve samples due to lost or environmental hazards.
•	Translation errors – the data has been migrated to newer data platforms numerous times, and each time there have been errors and data losses.

-  Error results are the calculated uncertainty for the sample measurement results and are reported as +/-.

-	Environmental Sample Records are from the year 1998 until present.  Prior to 1998 results were stored in hardcopy, in a non-database format.

Requests for results from samples taken prior to 1998 or results subject to quality assurance are available from archived records and can be made through the DEEP Freedom of Information Act (FOIA) administrator at deep.foia@ct.gov. Information on 
FOIA requests can be found on the DEEP website.   

FOIA Administrator
Office of the Commissioner
Department of Energy and Environmental Protection
79 Elm Street, 3rd Floor
Hartford, CT 06106
Eelgrass Beds 2006 Polygon

Eelgrass Beds 2006 Set:

This data layer was created by the USFWS National Wetlands Inventory, Region 5. Delineations of 2006 eelgrass beds were completed on the eastern Connecticut shoreline to the Rhode Island border. Fisher Island, Plum Island, and the northern shore of Long Island, New York were also included in this work. Spring 2006 True Color aerial photography was taken at a scale of 1:20,000 and used for detemining location and delineation of eelgrass beds. Extensive field work was conducted by the USFWS Region 5 Southern Coastal Zone program in September, October and November, with 290 field sites. The 2006 photography was scanned and geo-rectified using 2004 ADS 1/2 meter true color imagery.

This dataset contains point data for eelgrass verification field work completed in 2006 by the US Fish & Wildlife Service. Field work was conducted during September, October and November of 2006. The resulting information was used extensivley in the creation of the accompanyng polygonal eelgrass dataset.