AndreaBozzo/ceres-open-data-index huggingface dataset:
Weigh In Motion Sites

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes of weigh-in-motion stations, created as part of the District of Columbia, Department of Transportation (DDOT) Street Spatial Database (SSD).  A database provided by the District of Columbia, Department of Transportation identified Weigh-In-Motion stations. Weigh-in-motion or weighing in motion (WIM) devices are designed to capture and record axle weights and gross vehicle weights as vehicles drive over a measurement site.</span></p></div></div></div>

Tags: car, dc, ddot, district-of-columbia, regulationdc, transportation, travel, truck, washington-dc, weigh
Organization: District of Columbia
Industrial Revenue Bond Program Areas

<div style='text-align:Left;'><div><div><p><span>The Industrial Revenue Bond program (IRB) provides access to tax-exempt financing to help businesses and non-profit organizations renovate and build new construction, make tenant improvements, and purchase capital by securing interest rates up 4% lower than a traditional commercial loan. IRBs can be used to finance, refinance, and reimburse the costs of acquiring, constructing, restoring, rehabilitating, expanding, improving, equipping, or furnishing real property and related subordinate facilities. More than $9.5 billion has been issued through Washington, DC's IRB program since 1994.</span></p></div></div></div>

Tags: bond, business, dc, district-of-columbia, dmped, economic, enterprise-zone, financing, incentive, refinance, revenue, tax, washington-dc
Organization: District of Columbia
Traffic Pole

<div style='text-align:Left;'><div><div><p><span>The dataset contains location and attributes of traffic controls features located at each intersection in the District of Columbia. All traffic poles, pavement markings, traffic cabinets and cameras located within 10 meters of curb face intersections are collected. Poles must support traffic control devices in order to be collected. This includes traffic control signs, traffic signals, traffic arms and cameras. These traffic contorl devices are part the data sets tables and are related to there particular pole. The data set does not include poles supporting only name plate signs and parking enforcement signs.</span></p></div></div></div>

Tags: dc, ddot, district-of-columbia, traffic-control-agency, traffic-monitoring, traffic-pole, transportation, washington-dc
Organization: District of Columbia
Traffic Signal Cabinets

<div style='text-align:Left;'><div><div><p><span>The dataset contains location and attributes of traffic controls located at each intersection in the District of Columbia. All traffic poles, pavement markings, traffic cabinets and cameras located within 10 meters of curb face intersections are collected. Poles must support traffic control devices in order to be collected. This includes traffic control signs, traffic signals, traffic arms and cameras. The data set does not include poles supporting only name plate signs and parking enforcement signs.</span></p></div></div></div>

Tags: dc, ddot, district-of-columbia, traffic-signal, traffic-signal-cabinet, transportation, transportation-operation-agency, washington-dc
Organization: District of Columbia
Salt Domes

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Location Points of Salt Storage Domes. Attributes include name of facility, address, type, and coordinate.</SPAN></P></DIV></DIV></DIV>

Tags: district-of-columbia, dpw, public-works, salt-dome, snow, washington-dc, winter-weather
Organization: District of Columbia
Snow Removal All Routes

<DIV STYLE="text-align:Left;"><DIV><P><SPAN>This feature class contains locations and attributes of all DC Snow Routes for snow removal crew. This specific data set was created to increase routing efficiency and improve operational planning and execution. This data set was also created for the specific purpose of printing maps of each of the 69 snow routes on a letter-sized sheet of paper for use by the snow removal crew assigned to individual routes.</SPAN></P></DIV></DIV>

Tags: district-of-columbia, plow, snow, snow-route, transportation, washington-dc, winter
Organization: District of Columbia
Snow Removal Areas

<div style='text-align:Left;'><div><div><p><span>Snow areas (Residential Snow Areas-RSA) are used during the Winter season in the District of Columbia. This specific data set was created for the specific purpose of printing maps of each of the 82 RSAs (and their associated snow routes) on a letter-sized sheet of paper for use by snow teams.</span></p></div></div></div>

Tags: dc, district-of-columbia, dpw, snow-emergency, snow-removal-area, transportation, washington-dc, winter-weather
Organization: District of Columbia
Snow Removal Zones

<div style='text-align:Left;'><div><div><p><span>A snow zone is a group of residential snow areas (RSA).The snow zones are used for planning and management of Washington by DDOT, DPW and other local government agencies. This specific data set was created for administrative purposes: individual operators and foremen from DDOT and DPW assigned to each RSA or to primary and secondary snow routes within a zone, work as a team to ensure that service standards for clearing all assigned streets are achieved.</span></p></div></div></div>

Tags: dc, district-of-columbia, dpw, snow-emergency, snow-removal-zone, transportation, washington-dc, winter-weather
Organization: District of Columbia
Partial Light Plow Routes

<div style='text-align:Left;'><div><div><p><span>Partial Light Plow Routes are part of the DC Residential Snow Areas. The boundaries were created to reflect the updated street centerlines). This specific data set was created for the specific purpose of printing maps of each of the 82 RSAs (and their associated snow routes) on a letter-sized sheet of paper for use by snow teams.</span></p></div></div></div>

Tags: dc, district-of-columbia, dpw, plow-routes, snow-emergency, transportation, washington-dc, winter-weather
Organization: District of Columbia
Pavement Marking

<div style='text-align:Left;'><div><div><p><span>The dataset contains location and attributes of traffic controls located at each intersection in the District of Columbia. All traffic poles, pavement markings, traffic cabinets and cameras located within 10 meters of curb face intersections are collected. Poles must support traffic control devices in order to be collected. This includes traffic control signs, traffic signals, traffic arms and cameras. The data set does not include poles supporting only name plate signs and parking enforcement signs.</span></p></div></div></div>

Tags: crosswalk, dc, ddot, district-of-columbia, pavement-marking, roadway, street, traffic-calming, transportation, washington-dc
Organization: District of Columbia
Low Food Access Areas

<div style='text-align:Left;'><div><div><p><span>Polygons in this layer represent low food access areas: areas of the District of Columbia which are estimated to be more than a 10-minute walk from the nearest full-service grocery store. These have been merged with Census poverty data to estimate how much of the population within these areas is food insecure (below 185% of the federal poverty line in addition to living in a low food access area).</span></p><p><span>Office of Planning GIS followed several steps to create this layer, including: transit analysis, to eliminate areas of the District within a 10-minute walk of a grocery store; non-residential analysis, to eliminate areas of the District which do not contain residents and cannot classify as low food access areas (such as parks and the National Mall); and Census tract division, to estimate population and poverty rates within the newly created polygon boundaries.</span></p><p><span>Fields contained in this layer include:</span></p><ul><li><p><span>Intermediary calculation fields for the aforementioned analysis, and:</span></p></li><li><p><span style='font-weight:bold;'>PartPop2</span><span>: The total population estimated to live within the low food access area polygon (derived from Census tract population, assuming even distribution across the polygon after removing non-residential areas, followed by the removal of population living within a grocery store radius.)</span></p></li><li><p><span style='font-weight:bold;'>PrtOver185</span><span>: The portion of PartPop2 which is estimated to have household income above 185% of the federal poverty line (the food secure population)</span></p></li><li><p><span style='font-weight:bold;'>PrtUnd185</span><span>: The portion of PartPop2 which is estimated to have household income below 185% of the federal poverty line (the food insecure population)</span></p></li><li><p><span style='font-weight:bold;'>PercentUnd185</span><span>: A calculated field showing PrtUnd185 as a percent of PartPop2. This is the percent of the population in the polygon which is food insecure (both living in a low food access area and below 185% of the federal poverty line).</span></p></li></ul><p><span>Note that the polygon representing Joint Base Anacostia-Bolling was removed from this analysis. While technically classifying as a low food access area based on the OP Grocery Stores layer (since the JBAB Commissary, which only serves military members, is not included in that layer), it is recognized that those who do live on the base have access to the commissary for grocery needs.</span></p><p><span>Last updated November 2017.</span></p></div></div></div>

Tags: d-c-food-policy, d-c-government, food-access, food-deserts, grocery-stores, low-food-access-areas, office-of-planning, poverty
Organization: District of Columbia
Residential Parking Permit Blocks

<div style='text-align:Left;'><div><div><p><span>The Residential Permit Parking (RPP) Blocks data support the RPP program which limits residential parking to residents living on designated blocks. This dataset is derived from the District Department of Transportation (DDOT) roadway block (centerline) dataset. Residents can learn more about the RPP program at </span><a href='https://www.parkdc.com:443/' style='text-decoration:underline;' rel='nofollow ugc'><span>https://www.parkdc.com</span></a><span>, including guidelines for eligibility to receive a permit and instructions on how to petition for an RPP block.</span></p><p><span>This map displays blocks that are part of the RPP program. This map does not necessarily display areas with available RPP parking.</span></p><p><span>RPP Permits and Visitor Parking Permits (VPPs) allow parking at green and red RPP zone signs. Please review and follow on-street signage and parking regulations to avoid receiving a citation.</span></p></div></div></div>

Tags: dc, ddot, district-of-columbia, dmv, motor-vehicles, parkdc, residential-parking-permit-blocks, rpp, transportation, washington-dc
Organization: District of Columbia
Walkshed High-Frequency Bus 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
2018 LiDAR - Hydro Enforced Digital Terrain Model - Tiles

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Hydro-Flattened Bare Earth DTM. The dataset was created using the lidar bare earth points and 3D hydro breaklines to a resolution of 1 m (April 2018).</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: bare-earth, dem, digital-elevation-model-dem, digital-surface-model-dsm, district-of-columbia, dsm, dtm, elevation, ground-points, hydrology, imagery, las, lidar, lidar2018, point-cloud, topography, washington-dc
Organization: District of Columbia
2018 LiDAR - Digital Surface Model - Tiles

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Digital Surface Model - 1m resolution. The dataset contains the 1m Digital Surface Model for the Washington Area.</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: bare-earth, dem, digital-elevation-model-dem, digital-surface-model, digital-surface-model-dsm, district-of-columbia, dsm, elevation, ground-points, imagery, las, lidar, lidar2018, point-cloud, topography, washington-dc
Organization: District of Columbia
LiDAR - Normalized Digital Surface Model - Tiles

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Normalizd Digital Surface Model - 1m resolution. The dataset contains the 1m Digital Surface Model for the District of Columbia.Some areas have limited data. 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</SPAN></P></DIV></DIV></DIV>

Tags: bare-earth, dem, digital-elevation-model-dem, digital-surface-model-dsm, district-of-columbia, dsm, elevation, ground-points, imagery, las, lidar, lidar2020, ndsm, normalized-digital-surface-model, point-cloud, topography, washington-d-c, washington-dc
Organization: District of Columbia
2018 LiDAR - Normalized Digital Surface Model - Tiles

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Normalised Digital Surface Model - 1m resolution. The dataset contains the Normalised Digital Surface Model for the Washington Area.</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: bare-earth, dem, digital-elevation-model-dem, digital-surface-model-dsm, district-of-columbia, dsm, elevation, ground-points, imagery, las, lidar, lidar2018, ndsm, point-cloud, topography, washington-dc
Organization: District of Columbia
LiDAR - Hydro Enforced Digital Terrain Model - Tiles

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Hydro-Flattened Bare Earth DTM - 1m resolution. The dataset contains the 1m Digital Surface Model for the District of ColumbiaSome areas have limited data. 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</SPAN></P></DIV></DIV></DIV>

Tags: bare-earth, dem, digital-elevation-model-dem, district-of-columbia, dsm, dtm, elevation, ground-points, hydrology, imagery, las, lidar, lidar2020, point-cloud, topography, washington-dc
Organization: District of Columbia
Interagency Data Team Notes March 13, 2019

Meeting notes from Interagency Data Team meetings. These are best attempt to capture notable comments and questions from attendees. Notes are paraphrased. Please reference presentation or contact <a href='mailto:open.data@dc.gov' target='_blank' rel='nofollow ugc noopener noreferrer'>open.data@dc.gov</a> with questions. The Interagency Data Team is a community of data analysts, or agency liaisons, who convene regularly with representation from DC agencies of all persuasions. Participants engage in discussions regarding the team’s core mission and priorities for a better kind of data culture – collection, application, sharing, classification and governance to name a few. The team is coordinated by the Office of the Chief Technology Officer (OCTO), lead by the Chief Data Officer (CDO), and directly supports the District of Columbia's Data Policy.

Tags: idt, idtnotes
Organization: District of Columbia
Interagency Data Team Notes March 4, 2020

Meeting notes from Interagency Data Team meetings. These are best attempt to capture notable comments and questions from attendees. Notes are paraphrased. Please reference presentation or contact <a href='mailto:open.data@dc.gov' target='_blank' rel='nofollow ugc noopener noreferrer'>open.data@dc.gov</a> with questions. The Interagency Data Team is a community of data analysts, or agency liaisons, who convene regularly with representation from DC agencies of all persuasions. Participants engage in discussions regarding the team’s core mission and priorities for a better kind of data culture – collection, application, sharing, classification and governance to name a few. The team is coordinated by the Office of the Chief Technology Officer (OCTO), lead by the Chief Data Officer (CDO), and directly supports the District of Columbia's Data Policy.

Tags: idt, idtnotes
Organization: District of Columbia
Interagency Data Team Notes March 7, 2018

Meeting notes from Interagency Data Team meetings. These are best attempt to capture notable comments and questions from attendees. Notes are paraphrased. Please reference presentation or contact open.data@dc.gov with questions. The Interagency Data Team is a community of data analysts, or agency liaisons, who convene regularly with representation from DC agencies of all persuasions. Participants engage in discussions regarding the team’s core mission and priorities for a better kind of data culture – collection, application, sharing, classification and governance to name a few. The team is coordinated by the Office of the Chief Technology Officer (OCTO), lead by the Chief Data Officer (CDO), and directly supports the District of Columbia's Data Policy.

Tags: idt, idtnotes
Organization: District of Columbia
Chief Data Officer Annual Report 2019

The CDO annual report documents accomplishments and the Enterprise Dataset Inventory results of the previous calendar year. It assess current progress and shares the District's progress with Open Data and the Data Policy. Since last year’s report, I was privileged to spend most of my work time serving as the Interim Chief Technology Officer of the District of Columbia, as well as Chief Data Officer. OCTO is a unique and special agency, with a breadth of responsibility that runs from complex statewide applications for sophisticated customers like the Department of Motor Vehicles to hyper-local hands-on tech support in the public schools. That acknowledged, I’d like to thank Mayor Muriel Bowser for trusting me to run the agency that has shaped much of my career, and thanks also to our newly appointed CTO, Lindsey Parker, for diving right into data and open government efforts and supporting our team.

Tags: cdo, chief-data-officer, data-policy, district-of-columbia, edi, enterprise-dataset-inventory, opendata-dc-gov, washington-dc
Organization: District of Columbia
Walkshed Bikeshare

<div style='text-align:Left;'><div><div><p><span>Capital Bikeshare (CaBi) serves the Metropolitan Washington region with over 4,500 bikes and over 500 stations. This walkshed uses a ¼ mile walkshed, which represents the distance most people are willing to travel to access a CaBi bikeshare station.</span></p></div></div></div>

Tags: bikeshare, cabi, ddot, district-of-columbia, movedc, transportation-planning, travel-time, walkshed, washington-dc
Organization: District of Columbia
Aging and Community Living Lead Agencies

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Lead Agencies are neighborhood-based resource centers designed to help find services without having to leave your own community. These local agencies can work with you directly to identify helpful resources, get referrals, and connect you with our agency. Contact your local Lead Agency today to start the conversation. For more information please visit </SPAN><A href="https://dacl.dc.gov/service/lead-agencies"><SPAN>https://dacl.dc.gov/service/lead-agencies</SPAN></A><SPAN>.</SPAN></P></DIV></DIV></DIV>

Tags: aging, care, dacl, dcoa, district-of-columbia, elderly, health, public, public-service, senior-citizen, service, washington-dc
Organization: District of Columbia
Homeless Service Facilities

<div style='text-align:Left;'><div><div><p><span>Homeless Facility and Service locations. The dataset contains locations and attributes of Homeless Facility and Service locations, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by Answers Please and The InterFaith Conference of Metropolitan Washington identified emergency food, shelter and health care locations.</span></p></div></div></div>

Tags: dhshack, health-care, homeless, human, jan2018, services, shelter, society, structure
Organization: District of Columbia
Aging and Community Living Service Areas

<DIV STYLE="text-align:Left;"><DIV><P><SPAN>Office of Aging Lead Agency Service Boundary. The dataset contains service boundaries and attributes of lead agencies funded by the DC Office of Aging, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies.  A database provided by the Office of Aging identified Lead Agency service boundaries.  Lead Agencies are comprehensive service-delivery organizations that plan and deliver direct services to the District''s elderly residents and their caregivers.</SPAN></P></DIV></DIV>

Tags: aging, care, dcoa, district-of-columbia, elderly, health, help, public, public-service, senior-citizen, service, washington-dc
Organization: District of Columbia
Car Share Locations

<div style='text-align:Left;'><div><div><p><span>The dataset contains locations and attributes of car sharing locations. The points are the general locations where the Car Sharing currently exist. A database provided by the District Department of Transportation identified Car sharing locations.</span></p></div></div></div>

Tags: car-share-locations, dc, ddot, district-of-columbia, shared-mobility, transportation, vehicle, washington-dc
Organization: District of Columbia
2008 LiDAR - Bare Earth

Bare Earth Light Detection and Ranging (LIDAR) Data - 1m resolution. The dataset contains locations and attributes of bare earth elevations in meters.  Bare earth model is created by identifying those returns that fall on the ground surface and interpolating a surface between these points.  In this manner buildings and vegetation are removed from Bare Earth Model.   This data set does not include bridges and overpasses in the Bare Earth model as the delineation point for these structures is not reliably discernable in the LiDAR data.

Tags: bare-earth, district-of-columbia, elevation, imagery, lidar, washington-dc
Organization: District of Columbia