AndreaBozzo/ceres-open-data-index huggingface dataset:
Building Footprints 2021

<div style='text-align:Left;'><div><div><p><span>Building structures include parking garages, ruins, monuments, and buildings under construction along with residential, commercial, industrial, apartment, townhouses, duplexes, etc. Buildings equal to or larger than 9.29 square meters (100 square feet) are captured.</span></p><p><span>Buildings are delineated around the roof line showing the building "footprint." Roof breaks and rooflines, such as between individual residences in row houses or separate spaces in office structures, are captured to partition building footprints. This includes capturing all sheds, garages, or other non-addressable buildings over 100 square feet throughout the city. Atriums, courtyards, and other “holes” in buildings created as part of demarcating the building outline are not part of the building capture. This includes construction trailers greater than 100 square feet.</span></p><p><span>Memorials are delineated around a roof line showing the building "footprint."</span></p><p><span>Bleachers are delineated around the base of connected sets of bleachers.</span></p><p><span>Parking Garages are delineated at the perimeter of the parking garage including ramps.  Parking garages sharing a common boundary with linear features must have the common segment captured once. A parking garage is only attributed as such if there is rooftop parking.  Not all rooftop parking is a parking garage, however. There are structures that only have rooftop parking but serve as a business. Those are captured as buildings.</span></p><p><span>Fountains are delineated around the base of fountain structures.</span></p></div></div></div>

Tags: building, dc, district-of-columbia, octo, planimetrics, pmetric21, structure, washington-dc
Organization: District of Columbia
Sidewalks 2021

<div style='text-align:Left;'><div><div><p><span style='font-size:12pt'>All public walkways are captured. Sidewalks do not overlap other feature classes unless they are hidden under a bridge or overpass. Cement pads around public swimming pools are captured. Walkways in common areas of apartments, college campuses, and business parks are captured as sidewalks. Individual resident sidewalks are not captured.</span></p><p><span style='font-size:12pt'>Sidewalk: Sidewalks either compiled photogrammetrically as polygons or derived from a combination of vectors including: curbs, buildings, walls, driveways, or other features. Any stair feature that is less than 5 stairs is coded as sidewalk to maintain continuity.</span></p><p><span style='font-size:12pt'>Hidden Sidewalk: Sidewalks that are obscured by overpasses or tunnels. They are not fully visible in an aerial photograph, but the location can be interpreted based on the information visible on either side of the bridge.</span></p><p><span style='font-size:12pt'>Stairs: Groups of 5 or more stairs outside of major buildings or monuments, as well as part of sidewalks. Individual stairs are not captured. If landings exist within stairs, they are captured as sidewalk, not stairs.</span></p><p><span style='font-size:12pt'>Crosswalk: Marked crosswalks that are fully visible in an aerial photograph.</span></p></div></div></div>

Tags: crosswalk, dc, district-of-columbia, octo, planimetrics, pmetric21, sidewalk, stairs, walkway, washington-dc
Organization: District of Columbia
Waterbodies 2021

<div style='text-align:Left;'><div><div><p><span style='font-size:12pt'>Water is a polygon feature class consisting of the following features and capture rules:</span></p><p><span style='font-size:12pt'>Lakes, Reservoirs: Delineates the shoreline of all standing bodies of water designated as a lake or reservoir.</span></p><p><span style='font-size:12pt'>Ponds: Delineates the outline of all standing bodies of water designated as ponds. Includes man-made ponds over 100 square feet.</span></p><p><span style='font-size:12pt'>Rivers: Captures the banks of all flowing bodies of water two meters wide or wider, i.e., rivers.</span></p><p><span style='font-size:12pt'>Pools: Captures the outline of the water portion of fountains and codes them as pools.</span></p></div></div></div>

Tags: district-of-columbia, lake, octo, planimetrics, pmetric21, pond, reservoir, washington-dc, waterbody
Organization: District of Columbia
2021 Traffic Volume

<div style='text-align:Left;'><div><div><p><span>Traffic volume of Roadway Blocks. The dataset contains traffic volume data, created as part of the District of Columbia, Department of Transportation (DDOT) Roads and Highways database. A database provided by the District of Columbia, Department of Transportation identified traffic volume. Count data is collected (both direction) at pre-selected locations on Highway Performance Monitoring System (HPMS) Sections on a three-year cycle. These counts are converted to Annual Average Daily Traffic (AADT).</span></p></div></div></div>

Tags: aadt, annual-average-daily-traffic, dc, district-of-columbia, federal-highway-administration, fha, highway-performance-management-system, hpms, street, traffic, traffic-volume, transportation, washington-dc
Organization: District of Columbia
Wireless Hotspots from DC Government

<div style='text-align:Left;'><div><div><p><span>Washington DC residents and visitors can enjoy free Wi-Fi access via outdoor and indoor hotspots throughout the District at key community anchor locations including DC public schools and public charter schools, public libraries, parks and recreation centers, senior centers, community pools, community health clinics and social service sites, public housing campuses, public safety sites, and District government administration buildings. These access points are installed and managed by the Office of the Chief Technology Officer's DC Net program: https://dcnet.dc.gov/. </span></p><p><span>In addition, DC-Net has deployed public Wi-Fi throughout the Golden Triangle area just west of the White House and on the National Mall, which has enhanced the public’s experience at July 4th celebrations, presidential inaugurations, and other major events. </span></p><p><span>All sites offer open and free WiFi access with select locations requiring approved indoor facility access. Examples of these are federal, administrative or public schools.</span></p></div></div></div>

Tags: d-c, dc, dc-gis, dcgis, district-of-columbia, hot-spot, internet, washington, wireless
Organization: District of Columbia
2022 Traffic Volume

<div style='text-align:Left;'><div><div><p><span>Traffic volume of Roadway Blocks. The dataset contains traffic volume data, created as part of the District of Columbia, Department of Transportation (DDOT) Roads and Highways database. A database provided by the District of Columbia, Department of Transportation identified traffic volume. Count data is collected (both direction) at pre-selected locations on Highway Performance Monitoring System (HPMS) Sections on a three-year cycle. These counts are converted to Annual Average Daily Traffic (AADT).</span></p></div></div></div>

Tags: aadt, annual-average-daily-traffic, dc, district-of-columbia, federal-highway-administration, fha, highway-performance-management-system, hpms, street, traffic, traffic-volume, transportation, washington-dc
Organization: District of Columbia
Address SMD and ANC Changes

Addresses that have changed ANC and SMD as a result of new delineations in the Advisory Neighborhood Commission Boundaries Act of 2022, signed into law on June 16, 2022. They are in effect beginning January 1, 2023. View the <a href='https://opendata.dc.gov/datasets/DCGIS::advisory-neighborhood-commissions-from-2023/about' target='_blank' rel='nofollow ugc noopener noreferrer'>ANC 2023</a> and <a href='https://opendata.dc.gov/datasets/DCGIS::single-member-district-from-2023/about' target='_blank' rel='nofollow ugc noopener noreferrer'>SMD 2023</a> boundaries.


Tags: address, anc-changes, dc, district-of-columbia, location, mar, mardistrict, master-address-repository, octoedi, smd-changes, washington-dc
Organization: District of Columbia
Topography Northeast DC - 2018

<div style='text-align:Left;'><div><div><p><span>0.6 meter contours. This dataset contains locations and attributes of 0.6 meter (1.9685 feet) interval topography data, created using bare earth points from the lidar point cloud data.</span></p><p><span>Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. All lidar data returns and collected data were removed from the dataset based on the redaction footprint shapefile generated in 2017.</span></p></div></div></div>

Tags: contour, dc, district-of-columbia, elevation, topography, washington-dc
Organization: District of Columbia
Topography Northwest DC - 2018

<div style='text-align:Left;'><div><div><p><span>0.6 meter contours. This dataset contains locations and attributes of 0.6 meter (1.9685 feet) interval topography data, created using bare earth points from the lidar point cloud data.</span></p><p><span>Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. All lidar data returns and collected data were removed from the dataset based on the redaction footprint shapefile generated in 2017.</span></p></div></div></div>

Tags: contour, dc, district-of-columbia, elevation, topography, washington-dc
Organization: District of Columbia
Topography Southeast DC - 2018

<div style='text-align:Left;'><div><div><p><span>0.6 meter contours. This dataset contains locations and attributes of 0.6 meter (1.9685 feet) interval topography data, created using bare earth points from the lidar point cloud data.</span></p><p><span>Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. All lidar data returns and collected data were removed from the dataset based on the redaction footprint shapefile generated in 2017.</span></p></div></div></div>

Tags: contour, dc, district-of-columbia, elevation, topography, washington-dc
Organization: District of Columbia
Topography Southwest DC - 2018

<div style='text-align:Left;'><div><div><p><span>0.6 meter contours. This dataset contains locations and attributes of 0.6 meter interval topography data, created using bare earth points from the lidar point cloud data.</span></p><p><span>Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. All lidar data returns and collected data were removed from the dataset based on the redaction footprint shapefile generated in 2017.</span></p></div></div></div>

Tags: contour, dc, district-of-columbia, elevation, topography, washington-dc
Organization: District of Columbia
Topography Southwest DC - 2020

<div style='text-align:Left;'><p><span>0.6 meter contours. This dataset contains locations and attributes of 0.6 meter interval topography data, created using bare earth points from the lidar point cloud data. </span><a href='https://opendata.dc.gov:443/datasets/uss-redacted-1-meter-areas' rel='nofollow ugc' target='_blank'>Some areas have limited data</a>. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. Except for classified ground points and classified water points, all lidar data returns and collected data were removed from the dataset within the United States Secret Service 1m redaction boundary generated for the 2017 orthophoto flight</p><p><span></span></p></div>

Tags: breakline, contour, district-of-columbia, elevation, topoblock, topography, washington-dc
Organization: District of Columbia
Topography Southeast DC - 2020

<div style='text-align:Left;'><p><span>0.6 meter contours. This dataset contains locations and attributes of 0.6 meter interval topography data, created using bare earth points from the lidar point cloud data. </span><a href='https://opendata.dc.gov:443/datasets/uss-redacted-1-meter-areas' rel='nofollow ugc'>Some areas have limited data</a>. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. Except for classified ground points and classified water points, all lidar data returns and collected data were removed from the dataset within the United States Secret Service 1m redaction boundary generated for the 2017 orthophoto flight</p><p><span></span></p></div>

Tags: breakline, contour, district-of-columbia, elevation, topoblock, topography, washington-dc
Organization: District of Columbia
Topography Northwest DC - 2020

<div style='text-align:Left;'><p><span>0.6 meter contours. This dataset contains locations and attributes of 0.6 meter interval topography data, created using bare earth points from the lidar point cloud data. </span><a href='https://opendata.dc.gov/datasets/uss-redacted-1-meter-areas' rel='nofollow ugc' target='_blank'>Some areas have limited data</a>. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. Except for classified ground points and classified water points, all lidar data returns and collected data were removed from the dataset within the United States Secret Service 1m redaction boundary generated for the 2017 orthophoto flight</p><p><span></span></p></div>

Tags: breakline, contour, district-of-columbia, elevation, topoblock, topography, washington-dc
Organization: District of Columbia
Topography Northeast DC - 2020

<div style='text-align:Left;'><p><span>0.6 meter contours. This dataset contains locations and attributes of 0.6 meter interval topography data, created using bare earth points from the lidar point cloud data. </span><a href='https://opendata.dc.gov/datasets/uss-redacted-1-meter-areas/explore' target='_blank' rel='nofollow ugc noopener noreferrer'>Some areas have limited data</a>. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. Except for classified ground points and classified water points, all lidar data returns and collected data were removed from the dataset within the United States Secret Service 1m redaction boundary generated for the 2017 orthophoto flight</p><p><span></span></p></div>

Tags: breakline, contour, district-of-columbia, elevation, topoblock, topography, washington-dc
Organization: District of Columbia
DC Estimated Trees

<p style='margin-bottom:9pt; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><span style='font-size:12.0pt; font-family:&quot;Avenir Next&quot;,serif; color:black;'>Dataset
estimates location and size of trees in the District of Columbia that are not
managed by the Urban Forestry Division (<a href='https://opendata.dc.gov/datasets/urban-forestry-street-trees/explore' rel='nofollow ugc'>https://opendata.dc.gov/datasets/urban-forestry-street-trees/explore</a>).
Trees are modeled using an automated feature extraction process applied to 2022
LiDAR data. All data is an estimate, and intended for general representation
purposes.</span></p>

<p style='margin-bottom:9pt; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><span style='font-size:12.0pt; font-family:&quot;Avenir Next&quot;,serif; color:black;'><a href='https://opendata.dc.gov/datasets/da0c156ef3d24607b27a0da418970eac/explore' target='_blank' rel='nofollow ugc noopener noreferrer'>DC 2022 LiDAR</a> was used and processed using the
“Extract Trees using Cluster Analysis” script which is included as part of
Esri’s 3D Basemap solution. All LiDAR-derived trees within 2 meters of a
Urban Forestry Division tree were removed as being duplicates.</span></p>

<p style='margin-bottom:9pt; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><span style='font-size:12.0pt; font-family:&quot;Avenir Next&quot;,serif; color:black;'>Tree
diameter (DBH, in inches) was estimated for the LiDAR-derived trees from
calculated tree height (in feet) based on the equation: DBH = 0.4003*height -
1.9557. This equation was derived from a statistical analysis of a detailed
park inventory tree data set and has an R^2 = 0.7418.</span></p>

<p style='margin-bottom:9pt; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><span style='font-size:12.0pt; font-family:&quot;Avenir Next&quot;,serif; color:black;'>Extreme
outliers were also modified, with any DBH larger than 80 inches being converted
to a DBH of 80 inches.</span></p>

Tags: ddot-urban-forestry-division, root-zone, tree-preservation, ufa
Organization: District of Columbia
Historic Preservation Trust Fund

<div style='text-align:Left;'><div><div><p><span>The Office of the District of Columbia Auditor (ODCA) created this database based on documentation provided by the Department of Housing and Community Development (DHCD) and the Office of the Chief Financial Officer (OCFO), as well as ODCA analysis of HPTF expenditures. The database provides detail on all projects that received HPTF funds with loan and/or grant agreements that referenced HPTF funds. The database does not indicate whether any units were actually produced or maintained as affordable. Our data does not reflect whether projects participate in other local and federal housing programs that may impact the number and type of reserved units (i.e. the Local Rent Supplement Program). </span></p></div></div></div>

Tags: building, district-of-columbia, fund, historic, housing, hptf, op, property, washington-dc
Organization: District of Columbia
Stop Incidents 2010 to 2017

<div style='text-align:Left;'><div><div><p style='margin:1 1 1 0;'><span>Whenever a forcible stop or a frisk is conducted, MPD officers are required to submit an incident report which includes specific factors which supported the determination that reasonable suspicion was present to use the minimum amount of force necessary to stop or frisk a person. Although the primary purpose of the stop and frisk incident report is to collect information on forcible stops or frisks, officers frequently use this report to document non-forcible stops. Thus, the incident type “stop and frisk” may include non-forcible stops, forcible stops, and frisks. Each row of information in the attached dataset represents an individual associated with a stop and frisk incident. Not all individuals of an incident may have been stopped or frisked. For example, two individuals may have been associated with a stop or frisk incident but only one person may have been stopped. The other person may include a witness. Moreover, two individuals may have been stopped where only one person is frisked. A “stop” is a temporary detention of a person for the purpose of determining whether probable cause exists to arrest a person. A “frisk” is a limited protective search on a person to determine the presence of concealed weapons and/or dangerous instruments. </span><a href='https://mpdc.dc.gov/node/1310236' style='text-decoration:underline;' rel='nofollow ugc'><span>https://mpdc.dc.gov/node/1310236</span></a></p><p style='margin:1 1 1 0;'><span /></p><p style='margin:1 1 1 0;'><span /></p></div></div></div>

Tags: arrest, crime, dc-mpd, district-of-columbia, force, mpd, officer-contact, police, public-safety, safety, stop-and-frisk, stopfrisk, washington-dc
Organization: District of Columbia
Stop Incidents Field Contact 2012 to 2017

<div style='text-align:Left;'><div><div><p><span>When a non-forcible stop is conducted, MPD officers may document it on a field contact report instead of an incident report. A field contact report is also used to record general contact with a citizen. This dataset only captures the field contact type where the officer has indicated it is a stop by classifying it as a “pedestrian stop”, “vehicle stop”, or “bicycle stop.”A “stop” is a temporary detention of a person for the purpose of determining whether probable cause exists to arrest a person. A “frisk” is a limited protective search on a person to determine the presence of concealed weapons and/or dangerous instruments.</span></p><p><span>The Metropolitan Police Department (MPD) upgraded its records management system in 2012 and 2015. During each implementation, data collection processes may have changed. For example:</span></p><p><span>- The date field for field contact reports prior to January 2, 2012 was not migrated to the current record management system. As a result, tens of thousands of records carry a date of January 1, 2012. Therefore, MPD is unable to provide field contact data prior to January 2, 2012.</span></p><p><span>- With the implementation of the most recent RMS in 2015, MPD began collecting race and ethnicity data according to the United States Census Bureau standards (https://www.census.gov/topics/population/race/about.html). As a result, Hispanic, which was previously categorized under the Race field, is currently captured under Ethnicity. </span></p><p><span>Race and ethnicity data are based on officer observation, which may or may not be accurate. Individuals are not required to provide their date of birth and/or age; therefore, there may be blank and/or unknown ages.</span></p><p><a href='https://mpdc.dc.gov:443/stopdata' target='_blank' style='text-decoration:underline;' rel='nofollow ugc noopener noreferrer'><span>https://mpdc.dc.gov/stopdata</span></a></p></div></div></div>

Tags: arrest, crime, dc-mpd, district-of-columbia, force, mpd, officer-contact, police, public-safety, safety, stop-and-frisk, stopfrisk, washington-dc
Organization: District of Columbia
Felony Sentences

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span>This dataset contains all felony counts sentenced from 2010 onward and includes offender demographic information such as gender, race, and age, as well as sentencing information such as the offense, offense severity group, and the type and length of sentence imposed. The dataset is updated annually. Individuals interested in more extensive data sets may contact the Sentencing Commission via email at sccrc@dc.gov.</span></p></div></div></div>

Tags: court, crime, criminal, criminal-justice, felony, justice, public-safety, rahbilitation, scdc, sentencing
Organization: District of Columbia
Walkshed High-Frequency Bus Off Peak

<div style='text-align:Left;'><div><div><p><span>The walkshed here uses a ¼ mile walk from high-frequency Metrobus and DC circulator bus stops, which represent the distance most people are willing to travel to reach a bus stop.  For this analysis, high frequency is defined as one bus every 10 minutes or faster.</span></p></div></div></div>

Tags: bus, ddot, district-of-columbia, movedc, transportation-planning, travel-time, walkshed, washington-dc
Organization: District of Columbia
Families First DC Communities

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>Families First DC will provide grants to establish community-based organizations that will drive the placed-based services based upon the needs by launching Family Success Centers in five communities in Ward 7 and five in Ward 8. These focused areas were selected based on social determinants of health data, violence prevention priority areas, and substantiated reports on child abuse and neglect.</span></span></p><p style='margin:0 0 11 0;'><span /></p></div></div></div>

Tags: cfsa, child-and-family-services-agency, dc, district-of-columbia, families-first-dc, family-success-center, grants, washington
Organization: District of Columbia