AndreaBozzo/ceres-open-data-index huggingface dataset:
Hydrography Lines 2023

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This layer contains hydrography such as streams, rivers, and other linear hydrography features. Hidden hydrography, inferred drainage connectors, or culverts connect visible hydrography to form a continuous network. These connectors or hidden features maintain a predictable direction connecting the 2 points that conceal or infer the feature. Streams: Captured as single line if less than two meters wide. Both water edges plotted if wider than two meters. Docks and Piers: Visible outline delineated. Jetty: Visible outline delineated. Seawall: Single line plotted at the face of the seawall. Hidden Hydrography: Hidden hydrography is not obvious, even to someone standing under a bridge for example; it cannot be seen photogrammetrically and can be captured only from other sources. Segments of rivers, streams, and canals that flow under features such as bridges and roads are captured as continuous portions of the river, stream, or canal.</SPAN></P></DIV></DIV></DIV>

Tags: aqueduct, brook, canal, dam, district-of-columbia, environmental, falls, hydrography, octo, planimetrics, pmetric23, river, shoreline, stream, washington-dc, water
Organization: District of Columbia
Recreation Fields 2023

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The perimeter of all public and private sport/recreation courts, including clay, grass, dirt, and paved surfaces are captured.  Each court is delineated separately even if adjacent. Pavement around the recreation court is captured as sidewalk, not recreation court. Courts are defined as: Basketball Court: full outline of the court Tennis Court: full outline of the court Baseball Field: infield and outfield of a baseball area as one polygon if easily defined in aerial photo. Otherwise infield as the baseball field. Football Field: full outline of the field as best defined in aerial photo. Soccer Field: full outline of the field as best defined in aerial photo. Track: outline of track. Any recreation fields within tracks are captured and coded separately. Other Recreation Area: For areas that cannot be easily defined by function, they are captured as other recreation area, with full outline of the field as best defined in aerial photo.</SPAN></P></DIV></DIV></DIV>

Tags: baseball-field, basketball, dc, district-of-columbia, fields, fitness, octo, outdoor, pmetric23, recreation-area, soccer-field, sports, tennis-court, washington-dc
Organization: District of Columbia
Railroads 2023

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Centerlines of railroads or Metrorail are captured. The line is at the midpoint between each rail line. Hidden features due to tunnels, overpasses, or bridges are interpolated for connectivity. These areas are attributed as hidden railroad features. Railroad Centerline: Delineated centerline between all dual-rails, including marshaling yards. Metro Railroad Centerline: Delineated centerline between all Metrorail dual-rails, including marshaling yards. Streetcar Railroad Centerline: Delineated centerline between all streetcar dual-rails, including marshaling yards. Hidden Railroad: Captures the centerline of railroads that are obscured by overpasses or tunnels. The location of these features is inferred.</SPAN></P></DIV></DIV></DIV>

Tags: dc, district-of-columbia, octo, planimetric, pmetric23, railroad, transit, transportation, washington-dc
Organization: District of Columbia
Sidewalks 2023

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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. 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. 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. 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. Crosswalk: Marked crosswalks that are fully visible in an aerial photograph.</SPAN></P></DIV></DIV></DIV>

Tags: crosswalk, dc, district-of-columbia, octo, planimetrics, pmetric23, sidewalk, stairs, walkway, washington-dc
Organization: District of Columbia
Waterbodies 2023

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Water is a polygon feature class consisting of the following features and capture rules: Lakes, Reservoirs: Delineates the shoreline of all standing bodies of water designated as a lake or reservoir. Ponds: Delineates the outline of all standing bodies of water designated as ponds. Includes man-made ponds over 100 square feet. Rivers: Captures the banks of all flowing bodies of water two meters wide or wider, i.e., rivers. 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, pmetric23, pond, reservoir, washington-dc, waterbody
Organization: District of Columbia
Geodetic Control Points 2023

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Control points are captured by land surveyors to create control for orthophotography. These points are captured with survey-grade equipment ensuring the highest accuracy in their location. Horizontal Control Point: Surveyed horizontal geodetic control points that are used in the development of an analytical aerotriangulation solution. Vertical Control Point: Surveyed vertical geodetic control points that are used in the development of an analytical aerotriangulation solution.</SPAN></P></DIV></DIV></DIV>

Tags: dc, district-of-columbia, elevation, geodetic-control, location, octo, planimetrics, pmetric23, survey, washington-dc
Organization: District of Columbia
Shot Spotter Gun Shots

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This data represents all ShotSpotter incidents that were classified as “Probable Gunfire”, “Single_Gunshot”, or “Multiple_Gunshots” occurring within one of the six coverage areas defined below since January 1, 2014. The Department plans to continue to release this data with quarterly updates. Classifications are assigned by ShotSpotter and represent their assessment of what kind of impulse noise occurred. Some impulses initially dismissed as non-gunfire are manually audited and resubmitted to the dataset after ground truth analysis. </SPAN></P><P><SPAN>MPD began implementing the ShotSpotter system in 2006 and has added sensors and upgraded components of the system at various times. ShotSpotter has also enhanced their ability to distinguish gunshots from other impulse noises. For example, the number of impulse noises coded as gunshots during Independence Day celebrations have significantly decreased over the past four years.  </SPAN></P><P><SPAN>ShotSpotter does not provide coverage for the entire District of Columbia. Official coverage areas are designed by ShotSpotter in conjunction with MPD, to target high population density areas with frequent sounds of gunshots incidents.  </SPAN></P><P><SPAN>A ShotSpotter incident may involve one gunshot or multiple gunshots depending on the time elapsed between each shot. Each incident is given a serial number ID when it occurs.  </SPAN></P><P><SPAN>The Latitude and Longitude of the incidents are rounded to three decimal places due to privacy concerns. This roughly corresponds to a 100 meter resolution. </SPAN></P></DIV></DIV></DIV>

Tags: district-of-columbia, gunshot, mpd, public-safety, safety, shotspotter, washington-dc
Organization: District of Columbia
Juvenile Arrests

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This juvenile arrest report contains all arrests made by MPD and other law enforcement agencies of individuals 17 and under, excluding any arrests that have been expunged.  Only the top charge (most serious charge) is reported for each arrest.</SPAN></P><P><SPAN>The "Home PSA" of all arrests for which a valid District of Columbia address was given are provided.  For all cases where the home address was outside the District of Columbia, the home address field was manually reviewed and marked as "OUT OF STATE". "UNKNOWN" is provided for cases where no address was reported.</SPAN></P><P><SPAN>The "Crime/Arrest PSA" field contains the PSA associated with the original crime where the arrest record could be matched against the original crime report. For cases where the DC Moultrie Courthouse was indicated as the crime address (e.g., for Juvenile Custody Order, Failure to Appear, Fugitive from Justice, and Booking Order), "COURT" was listed as the crime PSA instead of PSA 102.  For cases for which the Juvenile Processing Center (JPC) was indicated as the crime address, or for cases where other processing locations were listed as the crime address (e.g., District station or MPD Headquarters), "DISTRICT/JPC" was listed as the crime PSA . For arrest cases without proper crime incident address, it was assumed that the arrest was made at the site of the crime, and the PSA associated with the arrest location was provided.</SPAN></P></DIV></DIV></DIV>

Tags: dc, district-of-columbia, juvenile-arrest, juvenile-arrests, mpd, public-safety, safety, washington-dc
Organization: District of Columbia
Tax Increment Financing and PILOT Areas

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>General info and delineations of all currently active TIF (Tax Increment Financing) and PILOT (Payment in Lieu of Taxes) projects in the District of Columbia.</SPAN></P></DIV></DIV></DIV>

Tags: dc, district-of-columbia, economic-development, ocfo, payment-in-lieu-of-taxes, real-estate, tax-increment-financing, tif, washington-dc
Organization: District of Columbia
Public Litter Cans

<p>Public litter cans are primarily along the District of Columbia’s commercial streets. They are receptacles that are intended for small litter like non-recyclable food wrappers and other trash acquired while in transit in the District. They are not for household trash. Public litter cans are emptied at night, following a daily to three times per week schedule, based on how much trash they receive. Public litter cans that are overflowing, likely are being used for litter other than small trash acquired in transit. Report a public trash can that is full/overflowing and needs to be emptied by calling 311 or using <a target='_blank' href='https://311.dc.gov' rel='nofollow ugc noopener noreferrer'>311.dc.gov</a>.</p><p>This inventory is continuously updated by the Department of Public Works and partners including Business Improvement Districts. Litter can locations are subject to change as <a target='_blank' href='https://311.dc.gov' rel='nofollow ugc noopener noreferrer'>Service Requests</a> for installation, maintenance and removal are processed. Public litter cans are found in public spaces. Public spaces include areas like major roads, commercial buildings, bus stops, churches, retail areas, restaurants, laundromats, public schools, and hospitals.</p>

Tags: dc, district-of-columbia, dpw, litter, litter-can, littercans, public-works, sanitation, trash, washington-dc
Organization: District of Columbia
Urban Tree Canopy by Census Block Group in 2020

<div style='text-align:Left;'><div><div><p><span>These data represent Census Block Groups 2020 in Washington, DC. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for Census Block Groups 2020 within the study area. UTC results provided in vector format with attribute fields (area/percent metrics/percent change metrics) for each land cover class and UTC type (UTC, PPA, Unsuitable UTC, UTC Change).</span></p></div></div></div>

Tags: census-block-group, dc, ddot, district-of-columbia, environment, land-cover, naip, possible-planting-area, ppa, tree-canopy, tree-cover, ufd, urban-forestry, utc, washington-dc
Organization: District of Columbia
Virtual Flow Solver - Geophysics: A 3D Incompressible Navier-Stokes Solver

Virtual Flow Solver - Geophysics (VFS-Geophysics) is a three-dimensional (3D) incompressible Navier-Stokes solver based on the Curvilinear Immersed Boundary (CURVIB) method.  The CURVIB is a sharp interface type of immersed boundary (IB) method that enables the simulation of fluid flows in the presence of geometrically complex moving bodies.  The CURVIB method can be applied to wind/MHK turbine simulations and energy applications.

VFS-Geophysics is the result of many years of research work by several graduate students, post-docs, and research associates that have been involved in the Computational Hydrodynamics and Biofluids Laboratory directed by Professor Fotis Sotiropoulos. The preparation of the present manual has been supported by the U.S. Department of Energy (DE-EE 0005482).

Tags: amec, axial-flow-turbine, blue-economy, c_, code, curvib, curvilinear-immersed-boundary, energy, flow-model, flow-simulation, flow-simulator, high-fidelity-model, hydrokinetic, large-eddy-simulation, marine, mhk, model, navier-stokes, powering-the-blue-economy, resource, simulation, solver, source-code, three-phase-flow-simulator, turbine-simulation
Organization: Department of Energy
Fleet DNA

Available online at http://www.nlr.gov/fleetdna, the Fleet DNA clearinghouse of commercial fleet vehicle operating data helps manufacturers and developers optimize vehicle designs and helps fleet managers choose advanced technologies for their fleets. Sponsored by the U.S. Department of Energy, this online tool provides data summaries and visualizations similar to real-world genetics for medium- and heavy-duty commercial fleet vehicles operating in a variety of vocations. If you use Fleet DNA data in a publication, please notify NREL at fleetdna@nlr.gov and include a citation consistent with the following format: “Fleet DNA Project Data.” ([YEAR]). National Renewable Energy Laboratory. Accessed [DATE]: nlr.gov/fleetdna.

Tags: advanced-vehicle-technologies, analysis, commercial-fleet-vehicle-operating-data, commercial-vehicle-vocations, data-visualizations, fleet-dna, fleet-managers, heavy-duty-vehicles, medium-duty-vehicles, on-line-tool, transportation, united-states, vehicle-manufacturers, vehicle-operators
Organization: Department of Energy
Transportation Secure Data Center

The Transportation Secure Data Center (TSDC) at https://www.nlr.gov/tsdc provides free access to detailed transportation data from travel surveys and studies conducted across the nation. It features millions of data points including second-by-second GPS readings, vehicle characteristics, and demographics for all modes of travel. NREL screens the initial data for quality control, translates each data set into a consistent format, and interprets the data for spatial analysis. NREL processing routines add information on fuel economy and road grades and join data points to the road network. NREL maintains the TSDC in partnership with the U.S. Department of Transportation and the U.S. Department of Energy. Before viewing the data for the first time, you will be required to fill out a short registration form. If you use TSDC data in a publication, please notify NREL at tsdc@nlr.gov and include a citation consistent with the following format: "Transportation Secure Data Center." ([YEAR]). National Renewable Energy Laboratory. Accessed [DATE]: www.nlr.gov/tsdc.

Tags: colorado, department-of-transportation, global-positioning-system-gps-data, golden, gps, re, renewable-energy, road-grade, road-network, spatial-analysis, speed, transportation, transportation-data, transportation-secure-data-center, travel-distance, travel-studies, travel-surveys, vehicle-characteristics
Organization: Department of Energy
NREL MOIS Data for NWEI Azura June 2016

NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navys Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI.  See general documentation describing specifics of the data files and formats in a separate NREL submission (linked below).

Tags: absorber, azura, deployment, electric-power, energy, generation, hawaii, hawaii-natural-energy-institute, hi, hydrokinetic, instrumentation, kaneohe-bay, marine, mhk, modular, modular-ocean-instrumentation-system, mois, national-renewable-energy-laboratory, northwest-energy-innovations, nrel, nwei, ocean, point, point-absorber-buoy, power, renewable, system, testing, us-navy, wave, wave-energy, wave-energy-test-site, wec, wets
Organization: Department of Energy
NREL MOIS Data for NWEI Azura May 2016

NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI.  See general documentation describing specifics of the data files and formats in a separate NREL submission (linked below).

Note:  DMS, load cell, and analog data files were not collected during the month of May, 2016 due to a controller software problem that was resolved in early June 2016.

Tags: absorber, azura, deployment, electric-power, energy, generation, hawaii, hawaii-natural-energy-institute, hi, hydrokinetic, instrumentation, kaneohe-bay, marine, mhk, modular, modular-ocean-instrumentation-system, mois, national-renewable-energy-laboratory, northwest-energy-innovations, nrel, nwei, ocean, point, point-absorber-buoy, power, renewable, system, testing, us-navy, wave, wave-energy, wave-energy-test-site, wec, wets
Organization: Department of Energy
NREL MOIS Data for NWEI Azura April 2016

NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI.  See general documentation describing specifics of the data files and formats in a separate NREL submission (linked below).

Tags: absorber, azura, deployment, electric-power, energy, generation, hawaii, hawaii-natural-energy-institute, hi, hydrokinetic, instrumentation, kaneohe-bay, marine, mhk, modular, modular-ocean-instrumentation-system, mois, national-renewable-energy-laboratory, northwest-energy-innovations, nrel, nwei, ocean, point, point-absorber-buoy, power, renewable, system, testing, us-navy, wave, wave-energy, wave-energy-test-site, wec, wets
Organization: Department of Energy
NREL MOIS Data for NWEI Azura March 2016

NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI.  See general documentation describing specifics of the data files and formats in a separate NREL submission (linked below).

Tags: absorber, azura, deployment, electric-power, energy, generation, hawaii, hawaii-natural-energy-institute, hi, hydrokinetic, instrumentation, kaneohe-bay, marine, mhk, modular, modular-ocean-instrumentation-system, mois, national-renewable-energy-laboratory, northwest-energy-innovations, nwei, ocean, point, point-absorber-buoy, power, renewable, system, testing, us-navy, wave, wave-energy, wave-energy-test-site, wec, wets
Organization: Department of Energy
NREL MOIS Data for NWEI Azura February 2016

NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI.  See general documentation describing specifics of the data files and formats in a separate NREL submission (linked below).

Tags: absorber, azura, deployment, electric-power, energy, generation, hawaii, hawaii-natural-energy-institute, hi, hydrokinetic, instrumentation, kaneohe-bay, marine, mhk, modular, modular-ocean-instrumentation-system, mois, national-renewable-energy-laboratory, northwest-energy-innovations, nrel, nwei, ocean, point, point-absorber-buoy, power, renewable, system, testing, us-navy, wave, wave-energy, wave-energy-test-site, wec, wets
Organization: Department of Energy
DCP Special Status Terrestrial Wildlife Species California Wildlife Habitat Relationships

The DCP Special Status Terrestrial Wildlife Species California Wildlife Habitat Relationships Study is one of many relicensing documents for the Devil Canyon Project (DCP) Hydropower Project Number 14797. The California Department of Water Resources applied to the Federal Energy Regulatory Commission for a new license of the DCP Project located in San Bernardino County, California along the East Branch of the State Water Project (SWP). The SWP provides southern California with many benefits, including an affordable water supply, reliable regional clean energy, opportunities to integrate green energy, accessible public recreation opportunities, and environmental benefits.

Tags: 14797, california-department-of-water-resources, canyon, cwhr, dcp, department-of-water-resources, devil, devil-canyon, devil-canyon-project, dwr, endangered, environmental, federal-energy-regulatory-commission, ferc, habitat, hlpco, hydropower, kingsnake, montane-chaparral, montane-hardwood, ponderosa-pine, powerplant, relationships, relicensing, sagebrush, special, special-status-terrestrial-wildlife-species, species, study, swp, terrestrial, threatened, tlp, traditional, water, wildlife, wildlife-habitat-relationships, yellow-warbler
Organization: State of California
Vegetation - Central Sierra Hardwoods [ds41]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>These data represents the results of vegetation plots in west-slope Sierra Nevada forests.  There is accompanying point count surveys for birds (see Central Sierra Hardwood Study - Birds) made at these survey plots. Please be aware that the coordinates of the points displayed in the text data display of this data set are California Teale-Albers NAD27 projection, but that the data point viewer displays these data points and the background layers in California Teale-Albers NAD83 projection.    </SPAN></P><P><SPAN>TIME PERIOD COVERED. These data were collected during 2002 and 2003 between June-August by field crews working for California Department of Fish and Game.</SPAN></P><P><SPAN>GEOGRAPHIC EXTENT OF THE RECORDS. Vegetation plots extend from El Dorado to Tuolumne counties in the central Sierra Nevada between 2000-6000 ft elevation.</SPAN></P><P><SPAN>NUMBER OF RECORDS. There are 64 stands with habitat attributes measured from 3-4 0.2-acre sampling plots per stand.    </SPAN></P><P><SPAN>BASE DATA STRUCTURE. The file is a flat table which gives vegetation attributes for each stand.  Each stand is represented by two key fields called "Quad" and "Grid" which relate these habitat records to bird survey data collected in 2003 from the same sample stands.    </SPAN></P><P><SPAN>WHAT EACH RECORD REPRESENTS. Each record in the table represents the stand's site attributes, habitat attributes, and California Wildlife Habitat (CWHR) classification type.  Average values for each stand represent the grand mean of average values from the 3-4 plots measured at each sample stand or the average of single measurements of attributes from the 3-4 plots measured at each sample stand.</SPAN></P></DIV></DIV></DIV>

Tags: auth_cdfw, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, distribution, ds0041_20050602_wm, habitat, habitat-attributes, inventory, management, monitoring, sample, vegetation
Organization: State of California