AndreaBozzo/ceres-open-data-index huggingface dataset:
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>
2015 Turf Grass 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>
2022 Connecticut Parcel and CAMA Data by COG

The towns of Connecticut (CT) Parcels and Computer-Assisted Mass Appraisal (CAMA) data for 2022 are part of a zipped file containing two items: CT parcels in geodatabases organized by COGs and associated CAMA files.

The parcel information includes 169 out of 169 town organized with geodatabases for each of the 9 Council of Governments. Most of the parcel data sets can be linked to the CAMA data which has attribute information (e.g. value of house, number of bedrooms) about real property.  The parcel features for each town are in shape files, feature classes, or within a geodatabase. Most parcels are organized by town and COG and placed within a geodatabases.  

The CAMA data sets have information about real property within the towns of CT. It may be linked to the parcels using a join process within a GIS package like ArcGIS Pro or QGIS.  154 out of 169 towns have complete CAMA information. Of the remaining 15 towns, four have no information and the remaining have some limited information mixed into the parcel attribute tables. These files were gathered from the CT towns by the COGs and then submitted to CT OPM. Town data is organized by COG. Attribute names, primary key, secondary key, naming conventions, and file formats are not fully consistent but some cleaning and reorganization was conducted to improve quality.  This file was created on 03/08/2023 from data collected in 2021-2022.
CT 2004 Spring Aerial Imagery (black & white, 0.8 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>. It is a virtual mosaic of 13,680 GeoTIFF tiles. <div><br /></div><div><b><font color='#104C9B'>Dataset Information</font></b></div><div><b>Extent:</b> Connecticut </div><div><b>Dates:</b> 2004, with minor areas from 2000 and 2005, between snow melt and leaf out </div><div><b>Bands:</b> 1 (black and white)</div><div><b>Pixel resolution:</b> 1 foot</div><div><b>Image Tile 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_2004.htm' target='_blank' rel='nofollow ugc noopener noreferrer'>2004 Orthophotography Data Guide on CT ECO</a><br /></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_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>Connecticut Department of Environmental Protection (CT DEEP), Connecticut Department of Emergency Services and Public Safety (DESPP), Connecticut Department of Transportation (DOT)</div>
Local Capital Improvement Program Project Authorization List

Pursuant to C.G.S. § 7-535 through 7-538, the Local Capital Improvement Program (LoCIP) distributes formula-based entitlement funds to municipalities to reimburse the cost of eligible local capital improvement projects such as road, bridge or public building construction activities.

A municipality must request and be granted project authorization by the Office of Policy and Management (OPM) in order to be eligible for reimbursement for allowable project costs. A municipality must request LoCIP reimbursement for eligible costs associated with an OPM approved LoCIP project in order to receive funds.

This dataset lists authorized projects.
Traffic Count Locations

<font size='3'><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;'>A collection of layers </span><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;'>maintained</span><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;'> by the Traffic Monitoring Unit. </span><span style='font-family:&quot;Segoe UI&quot;, Arial, sans-serif;'>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.</span></font>
CT Shorelines: 1880s-2006

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.