AndreaBozzo/ceres-open-data-index huggingface dataset:
Oregon Statewide Flood Hazard Database - FEMA Flood Insurance Studies - 2015

<div><span style='font-size:11.0pt; font-family:&quot;Calibri&quot;,sans-serif;'><b>This is a dataset download, not a document. The Open
button will start the download.</b></span><br /></div><div><br /></div>This data layer is an element of the Oregon GIS Framework. This feature dataset contains the following feature classes: 1. FEMA Flood Insurance Study base flood elevation (BFE) lines: The FEMA_BFE feature class is a compilation of FEMA Flood Insurance Study base flood elevation (BFE) lines for the state of Oregon. The FEMA Flood Insurance Study base flood elevation (BFE) lines were derived from Digital Flood Insurance Rate Maps and georeferenced paper Flood Insurance Rate Maps. 2. FEMA Flood Insurance Study inundation zones: The FEMA_FLD_HAZ_AR feature class is a compilation of FEMA Flood Insurance Study inundation zones for the state of Oregon. The FEMA Flood Insurance Study inundation zones were derived from Digital Flood Insurance Rate Maps and georeferenced paper Flood Insurance Rate Maps. 3. FEMA Letter of Map Change (LOMC) Locations: The FEMA_LOMC feature class is a compilation of FEMA Letter of Map Change (LOMC) Locations for the state of Oregon. The FEMA Letter of Map Change (LOMC) Locations were downloaded from the FEMA Map Service Center Website. The LOMC points were precisely located using county-level assessor data, orthoimagery, and lidar hillshades. 4. FEMA Flood Insurance Study profile baselines: The FEMA_PROFIL_BASLN feature class is a compilation of FEMA Flood Insurance Study profile baselines for the state of Oregon. The FEMA Flood Insurance Study profile baselines were derived from Digital Flood Insurance Rate Maps and paper Flood Insurance Rate Maps. 5. FEMA Flood Insurance Study cross section (XS) lines: The FEMA_XS feature class is a compilation of FEMA Flood Insurance Study cross section (XS) lines for the state of Oregon. The FEMA Flood Insurance Study cross section (XS) lines were derived from Digital Flood Insurance Rate Maps and paper Flood Insurance Rate Maps. See feature class metadata for detailed information about each feature class.

Tags: base-flood-elevation, dfirm, dfirm-database, digital-flood-insurance-rate-map, elevation, environment, fema, fema-flood-hazard-zone, firm, flood, flood-insurance-rate-map, flood-zones, floodplains, floodway, geoscientificinformation, hazardsframework, hydrology, inland-waters, inundation-areas, natural-disasters, nfip, oceans, riverine-flooding, sfha, special-flood-hazard-area, us41-oregon, winter-storm-hazard
Organization: State of Oregon
Inventory Map Index 2

<p><span style='background-color:rgb(255,255,255); color:rgb(68,68,68); font-family:&quot;Segoe UI&quot;, Segoe, Tahoma, Helvetica, Arial, sans-serif; font-size:13px;'>SLIDO-4.5 is an Esri ArcGIS version 10.7 file geodatabase which can be downloaded here: </span><font color='#444444' face='Segoe UI, Segoe, Tahoma, Helvetica, Arial, sans-serif'><span style='font-size:13px;'>https://www.oregon.gov/dogami/slido/Pages/data.aspx </span></font><span style='color:rgb(68, 68, 68); font-family:&quot;Segoe UI&quot;, Segoe, Tahoma, Helvetica, Arial, sans-serif; font-size:13px;'> The geodatabase contains two feature datasets (a group of datasets within the geodatabase) containing six feature classes total, as well as two raster data sets, one individual table, and two individual feature classes. The original studies vary widely in scale, scope and focus which is reflected in the wide range of accuracy, detail, and completeness with which landslides are mapped. In the future, we propose a continuous update of SLIDO. These updates should take place: 1) each time DOGAMI publishes a new GIS dataset that contains landslide inventory or susceptibility data or 2) at the end of each winter season, a common time for landslide occurrences in Oregon, which will include recent historic landslide point data. In order to keep track of the updates, we will use a primary release number such as Release 4.0 along with a decimal number identifying the update such as 4.5.</span></p>

Tags: alluvium, deposits, geoscientificinformation, inventory, landslide, north-america, oregon, sediment, soil, surface, united-states-of-america
Organization: State of Oregon
Oregon Public Land Survey

<div style='text-align:Left;'><div><p><span>This data layer is an element of the Oregon GIS Framework. This theme contains PLS lines for the State of Oregon.  This PLS theme includes donation claims lands.  Attributes in this theme show Township Range and Section values.</span></p></div></div>

Tags: 1994, cadastral, framework, oregon, planning-cadastre, pls-public-land-survey
Organization: State of Oregon
References

<p><span style='background-color:rgb(255,255,255); color:rgb(68,68,68); font-family:&quot;Segoe UI&quot;, Segoe, Tahoma, Helvetica, Arial, sans-serif; font-size:13px;'>SLIDO-4.5 is an Esri ArcGIS version 10.7 file geodatabase which can be downloaded here: </span><font color='#444444' face='Segoe UI, Segoe, Tahoma, Helvetica, Arial, sans-serif'><span style='font-size:13px;'>https://www.oregon.gov/dogami/slido/Pages/data.aspx </span></font><span style='color:rgb(68, 68, 68); font-family:&quot;Segoe UI&quot;, Segoe, Tahoma, Helvetica, Arial, sans-serif; font-size:13px;'> The geodatabase contains two feature datasets (a group of datasets within the geodatabase) containing six feature classes total, as well as two raster data sets, one individual table, and two individual feature classes. The original studies vary widely in scale, scope and focus which is reflected in the wide range of accuracy, detail, and completeness with which landslides are mapped. In the future, we propose a continuous update of SLIDO. These updates should take place: 1) each time DOGAMI publishes a new GIS dataset that contains landslide inventory or susceptibility data or 2) at the end of each winter season, a common time for landslide occurrences in Oregon, which will include recent historic landslide point data. In order to keep track of the updates, we will use a primary release number such as Release 4.0 along with a decimal number identifying the update such as 4.5.</span></p>

Tags: alluvium, deposits, geoscientificinformation, inventory, landslide, north-america, oregon, sediment, soil, surface, united-states-of-america
Organization: State of Oregon
Point Event

<p>The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000 scale and exists at that scale for the whole country. High resolution NHD adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Like the 1:100,000-scale NHD, high resolution NHD contains reach codes for networked features and isolated lakes, flow direction, names, stream level, and centerline representations for areal water bodies. Reaches are also defined to represent waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria set out by the Federal Geographic Data Committee.</p>

Tags: environment, geoscientificinformation, hydrography, inlandwaters, us
Organization: State of Oregon
Statewide Landslide Information Database for Oregon (SLIDO)

<p><span style='background-color:rgb(255,255,255); color:rgb(68,68,68); font-family:&quot;Segoe UI&quot;, Segoe, Tahoma, Helvetica, Arial, sans-serif; font-size:13px;'>SLIDO-4.5 is an Esri ArcGIS version 10.7 file geodatabase which can be downloaded here: </span><font color='#444444' face='Segoe UI, Segoe, Tahoma, Helvetica, Arial, sans-serif'><span style='font-size:13px;'>https://www.oregon.gov/dogami/slido/Pages/data.aspx </span></font><span style='color:rgb(68, 68, 68); font-family:&quot;Segoe UI&quot;, Segoe, Tahoma, Helvetica, Arial, sans-serif; font-size:13px;'> The geodatabase contains two feature datasets (a group of datasets within the geodatabase) containing six feature classes total, as well as two raster data sets, one individual table, and two individual feature classes. The original studies vary widely in scale, scope and focus which is reflected in the wide range of accuracy, detail, and completeness with which landslides are mapped. In the future, we propose a continuous update of SLIDO. These updates should take place: 1) each time DOGAMI publishes a new GIS dataset that contains landslide inventory or susceptibility data or 2) at the end of each winter season, a common time for landslide occurrences in Oregon, which will include recent historic landslide point data. In order to keep track of the updates, we will use a primary release number such as Release 4.0 along with a decimal number identifying the update such as 4.5.</span></p>

Tags: alluvium, deposits, geoscientificinformation, inventory, landslide, north-america, oregon, sediment, soil, surface, united-states-of-america
Organization: State of Oregon
Waterbody - Small Scale (HI, PR, VI, Pacific Territories)

<p>The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000 scale and exists at that scale for the whole country. High resolution NHD adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Like the 1:100,000-scale NHD, high resolution NHD contains reach codes for networked features and isolated lakes, flow direction, names, stream level, and centerline representations for areal water bodies. Reaches are also defined to represent waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria set out by the Federal Geographic Data Committee.</p>

Tags: environment, geoscientificinformation, hydrography, inlandwaters, us
Organization: State of Oregon
Public Land Survey Quarter Quarter

<div style='text-align:Left;'><div><div><p><span>This layer is based on the US Bureau of Land Management's (BLM) Geographic Coordinate Data Base (GCDB) coordinate data where it exists in Oregon. The remaining area not covered by the GCDB has been filled in with transformed data snapped to the BLM's section grid.</span></p></div></div></div>

Tags: cadastral, land-survey, meridian, pls, quarter-quarter, range, section, township
Organization: State of Oregon
2020 Census Block

This data layer is an element of the Oregon GIS Framework. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.

Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads.  Census blocks are relatively small in area; for example, a block in a city bounded by streets.  However, census blocks in remote areas are often large and irregular and may even be many square miles in area.  A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks.  As a result, all 2020 Census blocks nest within every other 2020 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas.  Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands).  Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census.  A block may consist of one or more faces

Tags: 41, block, boundaries, census-block, or, oregon, polygon, referenceframework, state-or-equivalent-entity, u-s, united-states
Organization: State of Oregon
III More Oregon Wetlands

This data layer is an element of the Oregon GIS Framework. The Oregon Wetlands Database (2019) is a geodatabase consisting of three feature classes: 1) Local Wetland Inventory (LWI) Wetlands, 2) National Wetland Inventory (NWI) Wetlands, and 3) More Oregon Wetlands (MOW). Each feature class contains polygons representing wetland boundaries. The three feature classes originated from different sources with distinct purposes, methodologies and time frames for generating geospatial wetlands data, and there is overlap among them; however, all are relevant to the conservation and management of wetlands across the state of Oregon. See the metadata of the individual feature classes for more background information and details per dataset.

Tags: aquatic, bioscience, bioscienceframework, modern, oregon, wetlands
Organization: State of Oregon
Building Footprints

<p>This feature class is a compliation GIS dataset that contains building footprints depicting building shape and location in the state of Oregon. All contributing datasets were compiled into the stateside dataset. Static datasets or infrequently maintained datasets were reviewed for quality. New building footprint data were reviewed and digitized from 2017 and 2018 imagery accessed from the Oregon Statewide Imagery Program.</p>

Tags: building, building-space, footprints, geoscientificinformation, hazus-building, location, oregon, structure
Organization: State of Oregon
EPCRA Tier 2 Facilities

<div style='text-align:Left;'><div><div><p><span>Submission of Tier II form is required under Section 312 of the Emergency Planning and Community Right-to-Know Act of 1986 (EPCRA). The purpose of this form is to provide state, tribal, and local officials, and the public with specific information on potential hazards. This includes the locations, as well as the amount, of hazardous chemicals present at facilities during the previous calendar year.</span></p></div></div></div>

Tags: ctdeep, deep, emergency, emergency-planning-and-community, epcra, lepc, public-safety, right-to-know-act, serc
Organization: State of Connecticut
Chapel Hill Public Library Foot Traffic June 30, 2020

<p style='box-sizing: border-box; font-family: -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif; margin-top: 0px; color: rgb(85, 85, 85); font-size: 14px;'>Set is updated hourly. Data includes:</p><ul><li>Occupancy numbers of three spaces at Chapel Hill Public Library. Data is collected by people counter sensors and calculated to display occupancy of the building on an hourly basis. The three spaces:<ul><li>Total Building (inside the entire Library building)</li><li>Children's Room</li><li>Lobby</li></ul></li><li>Cumulative counts from four sensors, of "Ins" and "Outs" at four particular locations in the Library building, separated into two groups "Adult" and "Child". The four sensor locations:<br /><ul><li>Main Entrance (entrance to the building by the Traffic Circle)</li><li>Lower Entrance (entrance to the building on the Lower Level)</li><li>Children's Entrance (primary entrance to the interior Kids Room)</li><li>Security Gate (interior archway that separates the Lobby from the rest of the Library)</li></ul></li></ul><p style='box-sizing: border-box; font-family: -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif; margin-top: 0px; margin-bottom: 0px; color: rgb(85, 85, 85); font-size: 14px;'>As of May 24, 2019: For the purposes of data analysis, a person with a minimum height of 4'9" is counted as an "Adult" and a person with a&nbsp;maximum height of 4'9" is counted as an "Child". This height was chosen based on the&nbsp;<a href='https://www.cdc.gov/growthcharts/clinical_charts.htm' target='_blank' rel='nofollow ugc noopener noreferrer'>Centers for Disease Control and Prevention's Clinical Growth Rate charts</a>&nbsp;- considering the median height for children age 11. Previous to May 24, 2019, the height distinction was 4'3".</p>

Tags: culture, heritage, town-of-chapel-hill
Organization: Town of Chapel Hill, North Carolina
Permits Issued 2013 to 2016

<div style='text-align:Left;font-size:12pt'><p style='font-size:16ptmargin:7 0 7 0;'><span><span>Permits issued between January 2013 and June 2016. Not all months are represented in the data.</span></span></p></div>

Tags: planning, town-of-chapel-hill
Organization: Town of Chapel Hill, North Carolina
Fire Incidents by Call Type

<div style='text-align:Left;font-size:12pt'><p style='font-size:16ptmargin:7 0 7 0;'><span><span>Fire Department incident data by call type.</span></span></p><p style='font-size:16ptmargin:7 0 7 0;'><span><span>Three years of data 2013-2016.</span></span></p></div>

Tags: call-types, chfd, community-safety, fire, incidents, town-of-chapel-hill
Organization: Town of Chapel Hill, North Carolina
Chapel Hill Public Library Circulation By Subject 2015-2017

<div style='text-align:Left;font-size:12pt'><p style='font-size:16ptmargin:7 0 7 0;'><span><span>Chapel Hill Public Library annual materials checkouts by subject for 2015-2017.</span></span></p></div>

Tags: checkout, culture, heritage, library, subjects, town-of-chapel-hill
Organization: Town of Chapel Hill, North Carolina
Fire Incidents by Location

<div style='text-align:Left;font-size:12pt'><p style='font-size:16ptmargin:7 0 7 0;'><span><span>All Chapel Hill Fire Department Fire (non EMS) related incidents. </span></span></p><p style='font-size:16ptmargin:7 0 7 0;'><span><span>Five years of data starting with fiscal year 2011-12.</span></span></p></div>

Tags: chfd, community-safety, fire, town-of-chapel-hill
Organization: Town of Chapel Hill, North Carolina
Chapel Hill Public Library Circulation by Format  2015 - 2017.

<div style='text-align:Left;font-size:12pt'><p style='font-size:16ptmargin:7 0 7 0;'><span><span>Chapel Hill Public Library annual materials checkouts by format for years 2015 - 2017.</span></span></p></div>

Tags: culture, library, town-of-chapel-hill
Organization: Town of Chapel Hill, North Carolina
Zoning Districts

<span style='color: rgb(85, 85, 85); font-family: -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif; font-size: 14px;'>This dataset contains polygons delineating zoning districts for the Town of Chapel Hill. This data is updated monthly as needed.</span>

Tags: chapel-hill, north-carolina, planning, zoning
Organization: Town of Chapel Hill, North Carolina
Town Owned Property

<span style='color: rgb(85, 85, 85); font-family: -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif; font-size: 14px;'>Polygon features representing public property owned by the Town of Chapel Hill. Updated regularly as needed.</span>

Tags: chapel-hill, government, north-carolina, open-data, parcels, planning, public-property, town-of-chapel-hill
Organization: Town of Chapel Hill, North Carolina
Budget and Actuals

<div style='text-align:Left;font-size:12pt'><p style='font-size:16ptmargin:7 0 7 0;'><span><span>This dataset contains the Town's Year-to-Date Budget and Actuals for Fiscal Years 2016 through 2019. Fiscal years run from July 1 to June 30.</span></span></p><p style='font-size:16ptmargin:7 0 7 0;'><span><span>The data comes from the Town's Enterprise Resource Planning (ERP) software and is subject to change until the year's final audit is complete, which typically occurs by October of the following fiscal year. For example, revenues received may be posted back a previous month or expenditures may be reclassified from one expense category to another throughout the year. This data is maintained in a flexible way to produce a variety of financial reports as required by law, including the Town's annually Adopted Budget and Comprehensive Annual Financial Report (CAFR).</span></span></p><p style='font-size:16ptmargin:7 0 7 0;'><span><span>These reports can be found on the Town's website through the following links:</span></span></p><ul><li><p style='font-size:16ptmargin:7 0 7 0;'><a href='http://www.townofchapelhill.org/town-hall/departments-services/business-management/budget' rel='nofollow ugc' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Town of Chapel Hill Adopted Budget</span></span></a><span><span> </span></span></p></li><li><p style='font-size:16ptmargin:7 0 7 0;'><a href='http://www.townofchapelhill.org/town-hall/departments-services/business-management/financial-statements' rel='nofollow ugc' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Town of Chapel Hill CAFR</span></span></a></p></li></ul></div>

Tags: adopted, budget, chapel-hill, expense, government, north-carolina, open-data, orange-county, public-finance, revenue, revised, spending, town-of-chapel-hill
Organization: Town of Chapel Hill, North Carolina
Police Employee Demographics

<div style='text-align:Left;font-size:12pt'><p style='font-size:16ptmargin:7 0 7 0;'><span><span>This table contains demographics information for employees of the Chapel Hill Police Department. </span></span></p></div>

Tags: chpd, community-safety, demographics, justice, police, safety, town-of-chapel-hill
Organization: Town of Chapel Hill, North Carolina
Downtown Tenants

<p>Downtown City Tenant Information: Includes tenant name, address, Business open date, close date, years in business, and independent vs. chain. </p><p>Data provided by the Chapel Hill Downtown Partnership; data is accurate to the best of their knowledge. Prepared and published in collaboration with Chapel Hill Open Data.</p>

Tags: business, economic-development, economy, employment, sme, town-of-chapel-hill
Organization: Town of Chapel Hill, North Carolina