AndreaBozzo/ceres-open-data-index huggingface dataset:
Seattle Transportation Plan Freight Network

<div>Seattle Transportation Plan (STP) - Freight Network of streets where freight and goods movement is a priority.</div><div><br /></div><div>Freight street classifications highlight key elements of the street network serving freight vehicles. They cover functional classification, truck volumes, street types, design guidance, spatial characteristics, and more and are considered when designing streets or determining how to operate the system. Seattle’s Freight Master Plan (FMP; 2016) identified a Freight Network Classification that includes four designations based on truck volumes, land use connections, network connectivity, and roadway classifications.  </div><div><br /></div><div>The freight network designations indicate key routes that trucks use to access the Port, key freight designations, and the regional highway system. Limited access facilities are connected to major truck streets and, to a lesser degree, by minor truck streets.  </div><div><br /></div><div>First-/last-mile connectors are primarily accessed by major and minor truck streets and are located within the MICs. Trucks are permitted to operate on most streets in Seattle, whether or not they are designated as part of the freight network. </div><div><br /></div><div>In general, limited access facilities are accessed by major truck streets and, to a lesser degree, by minor truck streets. First-/last-mile connectors are primarily accessed by major and minor truck streets and are located in MICs. <br /></div><div><br /></div><div><br /></div><div>Refresh Cycle: None, Static. Manually as required.</div><div><ul><li>Original Publish: 5/23/2024</li><li>Update Publish: 7/11/2024 per Policy and Planning team</li></ul></div><div>Contact: Policy and Planning team</div>

Tags: freight, freight-network, gis, sdot, seattle-gis-open-data, seattle-transportation-plan, stp, truck-streets, trucks
Organization: City of Seattle
Option High School Geo Zones 2023-2024

<div style='text-align:Left;'><div><div><p><span>2023 - 2024 option high school 'geo-zone' boundaries for Seattle Public Schools.</span></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;'><span style='font-family:inherit;'>Students who want to attend an option school need to apply. No one is assigned automatically to an option school. Each option school has a geographic priority area (geo zone). The geographic zone tiebreaker is for applicants to an option school who live within a defined area in proximity to the school. Please note that living within the geographic zone does not guarantee assignment to the requested option school, but gives a priority for admission after siblings. Geo Zones may change from year to year as a tool for capacity management.</span></p><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;'><a href='https://protect2.fireeye.com/v1/url?k=31323334-50bba2bf-31321b84-4544474f5631-d1a72587f77a54d6&amp;q=1&amp;e=0a30ecb3-4eb6-44e1-a3c7-a8853ddc5f5c&amp;u=https%3A%2F%2Fwww.seattleschools.org%2Fdepartments%2Fenrollment-planning%2F' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:inherit;' rel='nofollow ugc'>https://www.seattleschools.org/departments/enrollment-planning/</a><br /></div><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;'><p style='margin-top:0px; margin-bottom:1.5rem;'>For questions, please contact <a href='mailto:enrollmentplanning@seattleschools.org' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:inherit;' rel='nofollow ugc'>enrollmentplanning@seattleschools.org</a></p></div></div></div></div>

Tags: gis, high-school, seattle-gis-open-data, seattle-public-schools, sps
Organization: City of Seattle
PSRC VMT Intertract Summary

<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
Sockeye Broodstock Weir Operations - Cedar River

Since 2008 adult Cedar River sockeye have been collected at a broodstock collection weir that is temporarily installed each fall in the lower Cedar River (Renton, WA).  Adult sockeye collected at the weir are trucked to the Cedar River Sockeye Hatchery as part of the Landsburg Mitigation Agreement. The weir is operated by the Washington Department of Fish and Wildlife.  This operations dataset includes the daily number of hours the weir was fishing, and tip-gate and/or panel configuration hours.  Methods and data summaries are available in the Hatchery Annual Reports (WDFW).  A metadata file includes links to reports, protocols, and attribute information.

Tags: broodstock-collection, cedar-river, chinook, coho, hcp, lma, salmon, sockeye, weir
Organization: City of Seattle
2010 Census Tract Seattle - Household Statistics

<i>Data from:  </i><i><a href='http://www.seattle.gov/opcd/population-and-demographics/decennial-census#2010' target='_blank'>2010 Decennial Census</a></i><div><br /></div><div>Decennial household data for Census Tracts in the City of Seattle.</div>

Tags: census, dc2010, demographics, gis, households, planning, seattle-gis-open-data, tracts
Organization: City of Seattle
PSE Usage Data for OSE Climate Portal

<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 the aggregated emissions resulting from energy 
consumption in buildings across different neighborhoods and sectors 
(i.e., residential, commercial and industrial). </span><span style='box-sizing:border-box; font-size:16px;'>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><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 has been populated with utility energy consumption data 
procured directly from Puget Sound Energy (gas), aggregated and anonymized by sector, quarter, and census 
tract. Some tracts have their data combined and averaged with 
neighboring tracts for privacy purposes. If data is aggregated in a 
tract, the &quot;grouped flag&quot; field will read
 &quot;true&quot;. <br /></span></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. </div>

Tags: emissions, ose, seattle-gis-open-data
Organization: City of Seattle
Salmon Fry Production (natural-origin) - Cedar River

Since 1993, Washington Department of Fish and Wildlife (WDFW) has collected daily salmon outmigrant information from the Cedar River and estimates the annual natural-origin (sockeye) and wild (Chinook and coho) fry production for the year.  All past production estimates are included in the latest report.  Data provide estimates of egg to fry survival, migration timing, trapping efficiencies, and PIT array detections (as available). Seattle Public Utilities contributed funding to support this monitoring activity from 2005-2022 as part of the fulfillment of sockeye monitored associated with the Landsburg Mitigation Agreement and Cedar River Sockeye Monitoring Program. Methods and data are available from the report below (WDFW).  The Publications website for WDFW provides public access to annual reports from 1997-2021 (https://wdfw.wa.gov/publications).

Tags: cedar-river, chinook, coho, egg-to-fry-survival, fry-trap, hcp, lma, migration-timing, salmon, sockeye
Organization: City of Seattle
2010 Census Block Seattle - Household Statistics

<i>Data from:  </i><i><a href='http://www.seattle.gov/opcd/population-and-demographics/decennial-census#2010' target='_blank' rel='nofollow ugc noopener noreferrer'>2010 Decennial Census</a></i><div><br /></div><div>Decennial household data for Census Blocks in the City of Seattle.</div>

Tags: blocks, census, dc2010, demographics, gis, households, planning, seattle-gis-open-data
Organization: City of Seattle
SPU DWW CSO Basins

<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;'>This layer indicates which areas contribute sanitary and storm water flow to a CSO overflow point. Areas are broken down by NPDES Outfall Number.  The data source is DWW.cso_basin_plgn_pv. The layer continues to be updated as new information about the CSO system becomes available and as modifications to the system are completed. The boundaries in this layer were created and updated for purposes of developing a hydrologic and hydraulic computer model. The model was used to estimate CSO control volumes and develop CSO control alternatives. Estimation of control volume and alternative analysis did not require a parcel level of detail, so it is expected that the boundary is not always correct at the parcel level. In addition, the CSO basin boundary shapefile reflects both the sewer basin AND the drainage basin tributary to the overflow point, and these two basins do not always line up cleanly. This layer reflects the best compromise between the two boundaries.</span><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;'>Updates as needed.</div>

Tags: combined-sewer-overflow, cso-basin, cso-basins, dww-cso-basins, seattle-gis-open-data
Organization: City of Seattle
Transit Connection Corridors

<div><div>The Pedestrian Element of the Seattle Transportation Plan (STP) is a blueprint to create a more walkable Seattle and provides a suite of pedestrian improvements across the City. The intent is to focus resources on access to public schools, parks, and light rail, streetcar, and frequent transit networks12, in areas where walking conditions are difficult, and where people most need to be able to walk.  It highlights the needs of people walking and rolling and guides future investments to achieve STP goals.</div><div><br /></div><div>The process is based on an analysis of factors related to the STP’s goals of safety, equity, sustainability, mobility &amp; economic vitality, livability, and maintenance &amp; modernization. This data-driven prioritization framework helps the city provide targeted improvements that reflect community priorities, City policy objectives, and current data.  </div><div><br /></div><div>Throughout the life of the STP, there will be opportunities to evaluate what has been implemented and what can be prioritized in future funding cycles, within the context of the STP's goals, funding availability and project readiness, and other emergent needs. Decisions made as we craft regular STP Implementation Plans will determine the pace of STP Pedestrian Priority Investment Network implementation.  </div><div><br /></div><div>Refresh Cycle: None, Static. Manually as required.</div><div><ul><li>Original Publish: 5/23/2024</li><li>Update Publish: 7/11/2024 per Policy and Planning team</li></ul></div><div>Contact: Policy and Planning team</div></div><div><br /></div>

Tags: gis, pedestrian, pedestrian-element, policy-and-planning, sdot, seattle-gis-open-data, seattle-transportation-plan, stp
Organization: City of Seattle
UCUV Development Capacity Reports

<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
Seattle Police Department Micro Community Policing Plans (Web Mercator)

<div><a href='https://www.seattle.gov/police/information-and-data/data/mcpp-about' target='_blank' rel='nofollow ugc noopener noreferrer'>Seattle Police Department Micro Community Policing Plan Information</a><br /></div><div>This layer was published in the WGS 1984 Web Mercator Auxiliary Sphere coordinate system.</div>

Tags: mcpp, neighborhoods, police, seattle-gis-open-data, spd, web-mercator, wm
Organization: City of Seattle
Mixed Use and Commercial

<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
TAP21 bg Seattle - Relative % Change

<p>This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems 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. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.</p><p>University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.<br /></p><p>This dataset consists of City of Seattle Block Groups areas which cover the following tree canopy categories: </p><p></p><ul><li>Existing tree canopy percent </li><li>Possible tree canopy - vegetation percent </li><li>Relative percent change </li><li>Absolute percent change</li></ul><div style='font-family:inherit;'><div style='font-family:inherit;'>For more information, please see the <a href='https://seattle.gov/documents/Departments/OSE/Urban%20Forestry/2021%20Tree%20Canopy%20Assessment%20Report_FINAL_230227.pdf' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>2021 Tree Canopy Assessment</a>.</div></div><div style='font-family:inherit;'><br /></div>

Tags: 2016, 2021, biota, block-groups, environment, land-cover, seattle, seattle-gis-open-data, seattle-office-of-sustainability-environment, tree-canopy
Organization: City of Seattle
2020 Census Block King County - Redistricting  Data 2020

Census 2020 blocks in King County with selected P.L. 94-171 redistricting data.<div><br /></div><div>For more information about the P.L. 94-171 redistricting data, please visit the <a href='https://www.census.gov/programs-surveys/decennial-census/about/rdo/summary-files.html' rel='nofollow ugc' target='_blank'>U.S. Census Bureau</a>.  For a detailed description of the data included please see the <a href='https://www2.census.gov/programs-surveys/decennial/2020/technical-documentation/complete-tech-docs/summary-file/2020Census_PL94_171Redistricting_StatesTechDoc_English.pdf' rel='nofollow ugc' target='_blank'>2020 Census State Redistricting Data Summary File</a>. <br /><div><br /></div><div><p style='margin:0in 0in 7.5pt; font-size:11pt; font-family:Calibri, sans-serif; color:rgb(32, 31, 30); background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><span style='margin:0px; padding:0px; border:0px; font:inherit; color:black;'>Important note:  The Census Bureau advises analysts to aggregate blocks together to form larger geographic units before using the 2020 Census data. </span></p><p style='margin:0in 0in 7.5pt; font-size:11pt; font-family:Calibri, sans-serif; color:rgb(32, 31, 30); background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><span style='margin:0px; padding:0px; border:0px; font:inherit; color:black;'>Background: The Bureau used a new tool, called Differential Privacy, to inject statistical noise into the 2020 Census data in order to protect privacy. The resulting noise can cause substantial inaccuracy at the block level; combining data for blocks and other small geographies reduces the inaccuracy. For more information see <a href='https://www.census.gov/newsroom/blogs/director/2021/07/redistricting-data.html' rel='nofollow ugc' style='margin:0px; padding:0px; border:0px; font:inherit; color:rgb(5, 99, 193);' target='_blank'>Redistricting Data: What to Expect and When (census.gov)</a>, <a href='https://www.census.gov/programs-surveys/decennial-census/decade/2020/planning-management/process/disclosure-avoidance.html' rel='nofollow ugc' style='margin:0px; padding:0px; border:0px; font:inherit; color:rgb(5, 99, 193);' target='_blank'>2020 Census Data Products: Disclosure Avoidance Modernization</a>.</span></p></div></div>

Tags: census-2020, census-blocks, demographics, gis, planning, redistricting, seattle-gis-open-data
Organization: City of Seattle