AndreaBozzo/ceres-open-data-index huggingface dataset:
Seattle Area Polygon

This generalized outline of Seattle contains the north and south city limits but extends past the shoreline and contains no internal waterbodies.  For the traditional north south city limits, please use this layer, <a href='https://seattlecitygis.maps.arcgis.com/home/item.html?id=c5f3575dd7d545ada27064c74ac74f52' rel='nofollow ugc'>Seattle City Limits - Overview (arcgis.com)</a> .

Tags: city-limits, city-of-seattle, seattle, seattle-gis-open-data
Organization: City of Seattle
Historic Special Review District

<div style='text-align:left;'><p><span style='font-size:12pt;'>These layers are used as part of the City of Seattle Zoned Development Capacity Model </span><span style='font-size:16px;'>2016. Includes all input and output layers.</span><span style='font-size:12pt;'>.</span></p><p style='font-size:12pt;'><span></span></p><p style='font-size:12pt;'><span>To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning. </span></p><p style='font-size:12pt;'><span></span></p><p style='font-size:12pt;'><span>The difference between existing and potential development yields the capacity for new residential and commercial development.</span></p><p style='font-size:12pt;'><span></span></p><p style='font-size:12pt;'><span>There is a </span><a href='https://www.seattle.gov/dpd/cs/groups/pan/@pan/documents/web_informational/p2182731.pdf' target='_blank' rel='nofollow ugc noopener noreferrer'>report</a><span> of summary findings available as part of Seattle 2035 as well as </span><a href='https://www.seattle.gov/opcd/population-and-demographics/zoned-development-capacity' target='_blank' rel='nofollow ugc noopener noreferrer'>resources</a><span> for reports, methodologies and data.</span></p><p style='font-size:12pt;'><span style='font-size:15px;'>When downloading the data, please select a layer and then &quot;GDB Download&quot; under &quot;Additional Resources&quot; to preserve long field names.  The associated file geodatabase contains all the feature classes for the 10 layers represented.<br /></span><span><br /></span></p></div>

Tags: buildable-lands, capacity, capacity-model-2016, devcapapp, development, gis, planning, seattle-gis-open-data, zoned-capacity, zoning
Organization: City of Seattle
PSRC OD Trips

<p style='box-sizing:border-box; margin-top:0px; margin-bottom:0px; padding:0px; color:rgb(5, 5, 5); font-family:&quot;Avenir Next&quot;, &quot;Helvetica Neue&quot;, sans-serif, &quot;PingFang SC&quot;, &quot;Microsoft YaHei&quot;, &quot;Helvetica Neue&quot;, sans-serif; font-size:13px;'><span style='box-sizing:border-box; font-size:16px;'>This
layer shows total trips by mode and their corresponding emissions 
across different neighborhoods in Seattle. The data is mapped to census
tracts.  </span></p><p style='box-sizing:border-box; margin-top:0px; margin-bottom:0px; padding:0px; color:rgb(5, 5, 5); font-family:&quot;Avenir Next&quot;, &quot;Helvetica Neue&quot;, sans-serif, &quot;PingFang SC&quot;, &quot;Microsoft YaHei&quot;, &quot;Helvetica Neue&quot;, sans-serif; font-size:13px;'><br /></p><span style='box-sizing:border-box; font-size:16px;'>The
 data in this layer has been populated using an output from the 
Puget Sound Regional Council's (PSRC's) regional travel demand model. 
This model is updated only once every few years and is therefore not 
ideal for frequent data updates. The City is working on procuring more 
frequent measured travel data from alternate sources. </span><p style='box-sizing:border-box; margin-top:0px; margin-bottom:0px; padding:0px; color:rgb(5, 5, 5); font-family:&quot;Avenir Next&quot;, &quot;Helvetica Neue&quot;, sans-serif, &quot;PingFang SC&quot;, &quot;Microsoft YaHei&quot;, &quot;Helvetica Neue&quot;, sans-serif; font-size:13px;'><br /><br /></p><div><br /></div><div>For more information please visit the  <a href='https://seattlecitygis.maps.arcgis.com/home/item.html?id=e9a20082554a485e96a3283b7130b180' target='_blank' rel='nofollow ugc noopener noreferrer'>One Seattle Climate Portal</a> item description page. <br /></div><div><br /></div><div><br /></div>

Tags: climate, emissions, ose, seattle-gis-open-data
Organization: City of Seattle
Tree Canopy 2016

<span style='font-family:&quot;Segoe UI&quot;, Arial, sans-serif;'><font size='3'>Tree canopy was mapped from leaf-off LiDAR collected in the spring of 2016 and leaf-on high-resolution imagery collected in the summer of 2015 to complete this tree canopy cover assessment. Tree canopy cover mapping was carried out using a semi-automated approach that coupled automated feature extraction with manual editing. Automated feature extraction was done using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment, a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. Manual corrections carried out on a scale of 1:2,500, followed by a final review for completeness and consistency at a scale of 1:10,000.</font></span><div><span style='font-family:&quot;Segoe UI&quot;, Arial, sans-serif; font-size:13.3333px;'><br /></span></div><div>Displays data from CARTO.TreeCanopy_2016.  Will not display when zoomed out beyond 1:50,000.</div><div><br /></div><div>Static data layer, no updates.</div>

Tags: canopy-cover, gis, seattle-gis-open-data, tree, urban-forestry
Organization: City of Seattle
Contours 5ft 2021 Tolt River Watershed

<div>Tolt River watershed area 5ft contours derived from Lidar captured in 2021. Contour lines display at 5ft, 25ft, 50ft, 100ft, 200ft and 400ft intervals dependent on scale. Lines have been smoothed and generalized for display and performance.</div><div><br /></div><div>Development Detail:</div><div><br /></div><div>This vector tile service includes topographic contour lines representing elevation at 5-foot intervals within the Tolt River watershed area.</div><div><br /></div><div>The contours were derived from a bare earth - digital elevation model (DEM) with a pixel resolution of 1.5 feet. The lidar data that created the DEM were collected by NV5 Geospatial over the spring and summer months of 2021 and provided to the city by King County in 2022.</div><div><br /></div><div>The DEM used to generate the contours was filtered using the Focal Statistics tool in ArcGIS, which served to limit some abrupt changes in cell values. A 3x3 rectangular neighborhood analysis was applied and a mean value was calculated per raster cell.</div><div><br /></div><div>After running the Focal Statistics tool, 5-foot contours were generated from the filtered DEM. To reduce file size and improve performance, the contours were generalized further using the Smooth Line tool in ArcGIS. A smoothing algorithm type of Polynomial Approximation with Exponential Kernel (PAEK) and a smoothing tolerance of 20 feet was selected in the Smooth Line tool parameter options.</div><div><br /></div><div>Finally, after executing both generalization tools (Focal Statistics and Smooth Line), all lines less than 25 feet in length were omitted from the final output.</div><div><br /></div><div>Please note: The 5-foot contours are intended to be used for general reference and cartographic purposes only and should not be used for analysis purposes.</div>

Tags: 5ft, contours, seattle-gis-open-data, tolt-river, topography, watershed
Organization: City of Seattle
Connecticut Mainland Polygon

Connecticut Mainland Line includes the line features of a layer named Connecticut Mainland. Connecticut Mainland is a 1:24,000-scale, polygon and line feature-based layer that depicts the geographic area encompassed by and the boundary for the State of Connecticut with an additional linear shoreline feature separating the Connecticut mainland from the waters of Long Island Sound. The layer includes a polygon feature representing the Connecticut mainland, a polygon feature representing Connecticut waters in Long Island Sound and approximately 700 polygon features representing Connecticut islands in Long Island Sound. The layer is based on information from USGS topographic quadrangle maps published between 1969 and 1984 and latitude and longitude coordinates that define the boundary between the states of Connecticut and New York in Long Island Sound. Feature length and geographic area are encoded for linear and polygon features, respectively. This layer was originally published in 2005.

Connecticut Mainland Polygon includes the polygon features of a layer named Connecticut Mainland. Connecticut Mainland is a 1:24,000-scale, polygon and line feature-based layer that depicts the geographic area encompassed by and the boundary for the State of Connecticut with an additional linear shoreline feature separating the Connecticut mainland from the waters of Long Island Sound. The layer includes a polygon feature representing the Connecticut mainland, a polygon feature representing Connecticut waters in Long Island Sound and approximately 700 polygon features representing Connecticut islands in Long Island Sound. The layer is based on information from USGS topographic quadrangle maps published between 1969 and 1984 and latitude and longitude coordinates that define the boundary between the states of Connecticut and New York in Long Island Sound. Feature length and geographic area are encoded for linear and polygon features, respectively. This layer was originally published in 2005.

Tags: boundaries, connecticut, ct, ctdeep, deep, dlg, large-scale, mainland, political-boundary, state
Organization: State of Connecticut
RTA Stops

The original GTFS file can be downloaded at https://www.norta.com/RTA/media/GTFS/GTFS.zip.Shapefiles Included:Routes: Line geometry representing the transit routesStops: Point locations of transit stops, including attributesThe data provided is for informational purposes only and may be subject to change without notice. The New Orleans Regional Transit Authority (RTA) makes no guarantees, representations, or warranties regarding the accuracy, completeness, or currentness of the data. By accessing and using this data, the user acknowledges that the information is provided "as is" and agrees that RTA, its affiliates, employees, or agents shall not be held liable for any errors, omissions, or any actions taken based on the information provided.This dataset is not intended to be used as a legal document and should not be relied upon for critical decision-making processes without further verification. Any use of this data for commercial or non-commercial purposes is at the user’s risk, and users are responsible for compliance with any local, state, or federal regulations when using the data. By downloading or using this data, the user agrees to these terms.

Tags: centerlines, road-centerlines, roads
Organization: City of New Orleans
3.33 Culture of Literacy (dashboard)

This operations dashboard shows historic and current data related to this performance measure.<div><br /></div><div><p style='margin:0in 0in 0.0001pt;'>The performance measure dashboard is available at <a href='https://quality-of-life-tempegov.hub.arcgis.com/pages/culture-of-literacy' target='_blank' rel='nofollow ugc noopener noreferrer'>3.33 Culture of Literacy</a>.</p><p style='margin:0in 0in 0.0001pt;'> </p><p style='margin:0in 0in 0.0001pt;'><a href='https://gis.tempe.gov/design/data-dictionary/PM%203.33%20Culture%20and%20Literacy%20and%20Engagement%20(summary)%20DD/' target='_blank' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a><br /></p></div>

Tags: 3-33-culture-of-literacy-and-engagement, culture, engagement, families, library, literacy, quality-of-life, reading, story-time, summer, tempe-public-library
Organization: City of Tempe
3.35 Data-Driven Governance (dashboard)

<div 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;'><span style='font-family:inherit; margin:0px; padding:0px;'><p style='margin-top:0px; margin-bottom:10px; font-size:1rem; box-sizing:border-box; color:rgb(85, 85, 85); font-family:&quot;Open Sans&quot;, &quot;Avenir Next&quot;;'><span style='font-family:inherit; box-sizing:border-box;'><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; color:rgb(76, 76, 76); margin:0px; padding:0px; font-kerning:none;'>This dashboard shows historic and current data related to this performance measure. </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; color:rgb(76, 76, 76); margin:0px; padding:0px;'> </span></span></p><p style='margin-top:0px; margin-bottom:10px; font-size:1rem; box-sizing:border-box; color:rgb(85, 85, 85); font-family:&quot;Open Sans&quot;, &quot;Avenir Next&quot;;'><span style='font-family:inherit; box-sizing:border-box;'><span style='font-family:inherit;'>The performance measure page is available at </span><a href='https://quality-of-life-tempegov.hub.arcgis.com/pages/data-driven-governance' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>3.35 Data-Driven Governance</a><span style='font-family:inherit;'>. </span></span></p><p style='margin-top:0px; margin-bottom:10px; font-size:1rem; box-sizing:border-box; color:rgb(85, 85, 85); font-family:&quot;Open Sans&quot;, &quot;Avenir Next&quot;;'><a href='https://gis.tempe.gov/design/data-dictionary/3.35%20Data%20Driven%20Governance/' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:15px;' target='_blank' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a> </p></span></div>

Tags: data-driven-governance-pm-3-35
Organization: City of Tempe
4.03 Water Conservation (dashboard)

This operations dashboard shows historic and current data related to this performance measure.<div><br /></div><div><p style='margin:0in 0in 0.0001pt;'>The performance measure dashboard is available at <a href='https://sustainable-growth-and-development-tempegov.hub.arcgis.com/pages/water-conservation' target='_blank' rel='nofollow ugc noopener noreferrer'>4.03 Water Conservation</a>.</p><p style='margin:0in 0in 0.0001pt;'> </p><p style='margin:0in 0in 0.0001pt;'><a href='https://gis.tempe.gov/design/data-dictionary/4.03%20Water%20Conservation%20(summary)/' target='_blank' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a><br /></p></div>

Tags: conservation, residential, sustainability, sustainable-growth-and-development, water, water-conservation-and-efficiency-pm-4-03
Organization: City of Tempe
4.20 Community Development Process Satisfaction (dashboard)

<div>This operations dashboard shows historic and current data related to this performance measure. <br /></div><div><br /></div><div>The performance measure page is available at <a href='https://sustainable-growth-and-development-tempegov.hub.arcgis.com/pages/community-development-process' target='_blank' rel='nofollow ugc noopener noreferrer'>4.20 Community Development Process Satisfaction</a>.<br /></div><div><div><br /></div><div><div><a href='https://gis.tempe.gov/design/data-dictionary/4.20%20Community%20Development%20Process%20Survey%20(summary)/' target='_blank' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a><br /></div></div></div>

Tags: 4-20-customer-satisfaction-with-community-development-processes, community-development, satisfaction-survey, sustainable-growth-and-development
Organization: City of Tempe
5.12 Cybersecurity (dashboard)

<div>This operations dashboard shows historic and current data related to this performance measure. <br /></div><div><br /></div><div><p style='margin:0in 0in 0.0001pt;'>The performance measure dashboard is available at <a href='https://financial-stability-and-vitality-tempegov.hub.arcgis.com/pages/cybersecurity' target='_blank' rel='nofollow ugc noopener noreferrer'>5.12 Cybersecurity</a>.</p><p style='margin:0in 0in 0.0001pt;'> </p><p style='margin:0in 0in 0.0001pt;'><a href='https://gis.tempe.gov/design/data-dictionary/5.12%20Cybersecurity%20(summary)/' target='_blank' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a><br /></p></div><div><br /></div><div><br /></div>

Tags: customer-privacy, cyber-security, cybersecurity, cybersecurity-pm-5-12, financial-stability-and-vitality, hacker-detection-and-prevention, harden-critical-infrastructure-assets, information-security, infosec, performance-measures, prevent-data-breach, protect-assets, regulatory-compliance
Organization: City of Tempe
Loudoun Place Types

<div><a href='https://logis.loudoun.gov/metadata/placetypes.html' rel='nofollow ugc' target='_blank'>More Metadata</a><span style='font-family:&quot;Times New Roman&quot;, serif; font-size:16px;'> </span><br /></div><div><br /></div>This feature class contains the basic expected land uses, or place types, for specific areas for all of Loudoun County. The place type approach concentrates on the context of any area instead of typical land use categories and corresponding specific uses. Each place type category defines the basis expected land use for an area, but also the preferred development patterns, streetscapes, and design features to make each area visually distinctive and functional. Place types also provide greater flexibility in development than the previous planned land use approach.<div><br /></div><div>This purpose of this feature class is to reference the planned place types, or expected land uses in certain areas, as reflected by the Loudoun County 2019 Comprehensive Plan, which was adopted on June 20, 2019. The data is used extensively by both the Department of Planning, Building and Development but is administered by the Department of Planning. This place type layer is to be used in place of the previous planned land use layer that was retired with the adoption of the 2019 Comprehensive Plan.<br /></div>

Tags: building-and-development, clipandship, comprehensive-plan, land-use, place-types, planning, zoning
Organization: Loudoun County, Virginia
MetaCompare 2.0: Data used for pipeline benchmarking and source code

Dataset includes the SRA accessions of the sequencing data used to benchmark the MetaCompare 2.0 pipeline as well as tables of bacterial taxa and antibiotic resistance genes used to perform the risk assessments. A link to the GitHub page where the pipeline source code can be found is also provided. 

This dataset is associated with the following publication:
Rumi, M., M. Oh, B. Davis, C. Brown, J. Adeesh, P. Vikesland, A. Pruden, and L. Zhang. MetaCompare 2.0: Differential ranking of ecological and human health resistome risks.   FEMS Microbiology Ecology. Oxford University Press, OXFORD,  UK, 100(12): fiae155, (2024).

Tags: antibiotic-resistance, ecological-risk-assessment, human-health-risk-assessment, metagenomics
Organization: U.S. Environmental Protection Agency
2020 Census Block Groups - Seattle

<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;'>2020 census block groups for the City of Seattle.</span>

Tags: census, census-2020, census-block-groups, demographics, gis, planning, seattle-gis-open-data
Organization: City of Seattle
SDOH Measures for ZCTA, ACS 2017-2021

This dataset contains ZCTA-level social determinants of health (SDOH) measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES SDOH measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and SDOH issues overlap in a community to help inform public health planning.  

To access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.

Tags: acs, estimates, places, sdoh, zcta
Organization: U.S. Department of Health & Human Services
SDOH Measures for Place, ACS 2017-2021

This dataset contains place-level (incorporated and census-designated places) social determinants of health (SDOH) measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES SDOH measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and SDOH issues overlap in a community to help inform public health planning.  

To access spatial data, please use the ArcGIS Online service: https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.

Tags: acs, estimates, place, places, sdoh
Organization: U.S. Department of Health & Human Services
SDOH Measures for County, ACS 2017-2021

This dataset contains county-level social determinants of health (SDOH) measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES SDOH measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and SDOH issues overlap in a community to help inform public health planning.  

To access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.

Tags: acs, county, estimates, places, sdoh
Organization: U.S. Department of Health & Human Services
SDOH Measures for Census Tract, ACS 2017-2021

This dataset contains census tract-level social determinants of health (SDOH) measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. These measures complement existing PLACES measures, including PLACES SDOH measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and SDOH issues overlap in a community to help inform public health planning.  

To access spatial data, please use the ArcGIS Online service:  https://cdcarcgis.maps.arcgis.com/home/item.html?id=d51009ea78b54635be95c6ec9955ec17.

Tags: acs, estimates, places, sdoh, tract
Organization: U.S. Department of Health & Human Services