11 datasets found
  1. a

    Coordinates

    • help-mpmkr.hub.arcgis.com
    Updated May 23, 2023
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    MapMaker (2023). Coordinates [Dataset]. https://help-mpmkr.hub.arcgis.com/datasets/coordinates
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    Dataset updated
    May 23, 2023
    Dataset authored and provided by
    MapMaker
    Description

    In this skill builder, you'll work with coordinates on the map. You'll do the following:View the coordinates as you move your mouse over the map Copy the coordinates Capture the coordinates of a location clicked on the map Convert the coordinates between different formats, including latitude and longitude (XY), decimal degrees (DD), degrees decimal minutes (DDM), degrees minutes seconds (DMS), military grid reference system (MGRS), United States National Grid (USNG), and Universal Transverse Mercator (UTM) Enter a coordinate and go to that location on the map

  2. d

    ARCHIVED: Parking Citations

    • catalog.data.gov
    • data.lacity.org
    Updated Jan 5, 2024
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    data.lacity.org (2024). ARCHIVED: Parking Citations [Dataset]. https://catalog.data.gov/dataset/parking-citations-0e4fd
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    Dataset updated
    Jan 5, 2024
    Dataset provided by
    data.lacity.org
    Description

    New Parking Citations dataset here: https://data.lacity.org/Transportation/Parking-Citations/4f5p-udkv/about_data ---Archived as of September 2023--- Parking citations with latitude / longitude (XY) in US Feet coordinates according to the California State Plane Coordinate System - Zone 5 (https://www.conservation.ca.gov/cgs/rgm/state-plane-coordinate-system). For more information on Geographic vs Projected coordinate systems, read here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/gcs_vs_pcs/ For information on how to change map projections, read here: https://learn.arcgis.com/en/projects/make-a-web-map-without-web-mercator/

  3. A

    Loudoun Parcel XY

    • data.amerigeoss.org
    • data.virginia.gov
    • +8more
    csv, esri rest +2
    Updated Jun 4, 2019
    + more versions
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    United States (2019). Loudoun Parcel XY [Dataset]. https://data.amerigeoss.org/lt/dataset/87dba621-4315-438c-91c0-b21c5068123e
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    geojson, csv, esri rest, htmlAvailable download formats
    Dataset updated
    Jun 4, 2019
    Dataset provided by
    United States
    License

    https://hub.arcgis.com/api/v2/datasets/4f28a282478d448fa81f053b1126bf6e_9/licensehttps://hub.arcgis.com/api/v2/datasets/4f28a282478d448fa81f053b1126bf6e_9/license

    Area covered
    Loudoun County
    Description

    Loudoun County Parcel X,Y coordinates table. Available in Latitude and Longitude decimal degrees and Virginia State Plane North.

  4. L

    Parking Citations in FY 2018

    • data.lacity.org
    application/rdfxml +5
    Updated Sep 7, 2023
    + more versions
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    (2023). Parking Citations in FY 2018 [Dataset]. https://data.lacity.org/Transportation/Parking-Citations-in-FY-2018/nma9-y7yc
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    tsv, application/rssxml, xml, csv, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Sep 7, 2023
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Parking citations with latitude / longitude (XY) in US Feet coordinates according to the NAD_1983_StatePlane_California_V_FIPS_0405_Feet projection.

  5. d

    Data from: Utah FORGE: Updated Phase 2C Well Location Coordinates

    • catalog.data.gov
    • data.openei.org
    • +2more
    Updated Jan 20, 2025
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    Utah Geological Survey (2025). Utah FORGE: Updated Phase 2C Well Location Coordinates [Dataset]. https://catalog.data.gov/dataset/utah-forge-updated-phase-2c-well-location-coordinates-5408a
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    Dataset updated
    Jan 20, 2025
    Dataset provided by
    Utah Geological Survey
    Description

    Utah FORGE has been established to develop, test, and improve the technologies and techniques required to develop EGS-type geothermal resources. Drilling of the first of two deep deviated wells, 16A(78)-32, will begin in the second half of 2020. This well will serve as the injection well for the injection-production well pair that will form the heart of the laboratory. This submission contains an archive of well location data within the Roosevelt Hot Springs geothermal area. An Excel spreadsheet is included containing updated GPS data for Utah FORGE wells drilled during Phase 2C (56-32, 68-32, 78-32). This data was collected over time by the Utah Geological Survey and contains all coordinates collected and the final averaged XY coordinates in both Longitude and Latitude and UTM Zone 12, NAD83. Elevation is also included. GIS shapefiles with well points are provided in the archive.

  6. e

    BES Telephone Survey geocoded for Baltimore County. XY positions file.

    • portal.edirepository.org
    zip
    Updated Sep 10, 2004
    + more versions
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    Jarlath O'Neil-Dunne (2004). BES Telephone Survey geocoded for Baltimore County. XY positions file. [Dataset]. http://doi.org/10.6073/pasta/5b01e2fcca2bd89984927c40dc8a2727
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    zip(528 kilobyte)Available download formats
    Dataset updated
    Sep 10, 2004
    Dataset provided by
    EDI
    Authors
    Jarlath O'Neil-Dunne
    Time period covered
    Jan 1, 1999 - Dec 31, 2011
    Area covered
    Description

    Tags

       survey, environmental behaviors, lifestyle, status, PRIZM, Baltimore Ecosystem Study, LTER, BES
    
    
    
    
       Summary
    
    
       BES Research, Applications, and Education
    
    
       Description
    
    
       XY Positions for BES telephone survey. The BES Household Survey 2003 is a telephone survey of metropolitan Baltimore residents consisting of 29 questions. The survey research firm, Hollander, Cohen, and McBride conducted the survey, asking respondents questions about their outdoor recreation activities, watershed knowledge, environmental behavior, neighborhood characteristics and quality of life, lawn maintenance, satisfaction with life, neighborhood, and the environment, and demographic information. The data from each respondent is also associated with a PRIZM� classification, census block group, and latitude-longitude. PRIZM� classifications categorize the American population using Census data, market research surveys, public opinion polls, and point-of-purchase receipts. The PRIZM� classification is spatially explicit allowing the survey data to be viewed and analyzed spatially and allowing specific neighborhood types to be identified and compared based on the survey data. The census block group and latitude-longitude data also allow us additional methods of presenting and analyzing the data spatially. 
    
    
       The household survey is part of the core data collection of the Baltimore Ecosystem Study to classify and characterize social and ecological dimensions of neighborhoods (patches) over time and across space. This survey is linked to other core data including US Census data, remotely-sensed data, and field data collection, including the BES DemSoc Field Observation Survey. 
    
    
    
       The BES 2003 telephone survey was conducted by Hollander, Cohen, and McBride from September 1-30, 2003. The sample was obtained from the professional sampling firm Claritas, in order that their "PRIZM" encoding would be appended to each piece of sample (telephone number) supplied. Mailing addresses were also obtained so that a postcard could be sent in advance of interviewers calling. The postcard briefly informed potential respondents about the survey, who was conducting it, and that they might receive a phone call in the next few weeks. A stratified sampling method was used to obtain between 50 - 150 respondents in each of the 15 main PRIZM classifications. This allows direct comparison of PRIZM classifications. Analysis of the data for the general metropolitan Baltimore area must be weighted to match the population proportions normally found in the region. They obtained a total of 9000 telephone numbers in the sample. All 9,000 numbers were dialed but contact was only made on 4,880. 1508 completed an interview, 2524 refused immediately, 147 broke off/incomplete, 84 respondents had moved and were no longer in the correct location, and a qualified respondent was not available on 617 calls. This resulted in a response rate of 36.1% compared with a response rate of 28.2% in 2000. The CATI software (Computer Assisted Terminal Interviewing) randomized the random sample supplied, and was programmed for at least 3 attempted callbacks per number, with emphasis on pulling available callback sample prior to accessing uncalled numbers. Calling was conducted only during evening and weekend hours, when most head of households are home. The use of CATI facilitated stratified sampling on PRIZM classifications, centralized data collection, standardized interviewer training, and reduced the overall cost of primary data collection. Additionally, to reduce respondent burden, the questionnaire was revised to be concise, easy to understand, minimize the use of open-ended responses, and require an average of 15 minutes to complete. 
    
    
       The household survey is part of the core data collection of the Baltimore Ecosystem Study to classify and characterize social and ecological dimensions of neighborhoods (patches) over time and across space. This survey is linked to other core data, including US Census data, remotely-sensed data, and field data collection, including the BES DemSoc Field Observation Survey. 
    
    
       Additional documentation of this database is attached to this metadata and includes 4 documents, 1) the telephone survey, 2) documentation of the telephone survey, 3) metadata for the telephone survey, and 4) a description of the attribute data in the BES survey 2003 survey.
    
    
       This database was created by joining the GDT geographic database of US Census Block Group geographies for the Baltimore Metropolitan Statisticsal Area (MSA), with the Claritas PRIZM database, 2003, of unique classifications of each Census Block Group, and the unique PRIZM code for each respondent from the BES Household Telephone Survey, 2003. The GDT database is preferred and used
    
  7. m

    TowCam navigation XY data (ASCII format) at Incipient Rift, Galapagos Triple...

    • marine-geo.org
    Updated Apr 23, 2025
    + more versions
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    MGDS > Marine Geoscience Data System (2025). TowCam navigation XY data (ASCII format) at Incipient Rift, Galapagos Triple Junction (VANC01MV, 2002) [Dataset]. http://doi.org/10.60521/332245
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    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    MGDS > Marine Geoscience Data System
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Area covered
    Description

    These TowCam navigation files were generated during 2002 R/V Melville cruise VANC01MV along a minor rift originating at the East Pacific Rise (EPR) at 2°40'N continuing southeastward for ~65 km. Photographs were assigned the position of the ship, assuming minimal layback of the camera sled. The files are in ASCII text format and present with the latitude and longitude in decimal degrees. There is one navigation file per TowCam deployment. The files were generated as part of a project called Geochemical and Geological Investigations of the Incipient Rift at 2° 40'N, East of the East Pacific Rise. Funding was provided by NSF awards OCE00-96360 and OCE00-99154.

  8. d

    List of Primary Schools for academic year 2016/2017

    • datasalsa.com
    • data.europa.eu
    • +1more
    csv
    Updated Mar 5, 2018
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    Department of Education (2018). List of Primary Schools for academic year 2016/2017 [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=list-of-primary-schools
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    csvAvailable download formats
    Dataset updated
    Mar 5, 2018
    Dataset authored and provided by
    Department of Education
    Time period covered
    Mar 5, 2018
    Description

    List of Primary Schools for academic year 2016/2017. Published by Department of Education. Available under the license cc-by (CC-BY-4.0).This dataset contains all basic primary school details including address, longitude/latitude, geo (XY) coordinates and eircode information...

  9. u

    Fire Facility Locations - Catalogue - Canadian Urban Data Catalogue (CUDC)

    • data.urbandatacentre.ca
    Updated Oct 3, 2024
    + more versions
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    (2024). Fire Facility Locations - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/city-toronto-fire-station-locations
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    Dataset updated
    Oct 3, 2024
    Description

    This dataset contains the location of all active fire stations and fire related facilities within the City of Toronto. The locations are identified by XY (latitude and longitude) coordinates.

  10. Chlorophyll, Copernicus S-3B OLCI, Near Real-Time, Sector XY 750m, Level 3,...

    • coastwatch.noaa.gov
    Updated Feb 17, 2021
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    NOAA/NESDIS/STAR/SOCD/CoastWatch (2021). Chlorophyll, Copernicus S-3B OLCI, Near Real-Time, Sector XY 750m, Level 3, 2020-present, Daily [Dataset]. https://coastwatch.noaa.gov/erddap/info/noaacwS3BOLCIchlaSectorXYDaily/index.html
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    Dataset updated
    Feb 17, 2021
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Environmental Satellite, Data, and Information Service
    Authors
    NOAA/NESDIS/STAR/SOCD/CoastWatch
    Time period covered
    Jun 3, 2024 - Jun 6, 2025
    Area covered
    Variables measured
    time, chlor_a, altitude, latitude, longitude
    Description

    Geometric Mean Baseline of chlora from Sentinel-3B OLCI, data courtesy of Copernicus Program, mapping matches NOAA CoastWatch VIIRS Sectors cdm_data_type=Grid Conventions=CF-1.6, COARDS, ACDD-1.3 cw_orbit_type=descending cw_pass_type=day cw_processing_version=NRT S3B_OL_2_WFR cw_projection=Geographic cw_satellite=Sentinel-3B cw_sensor=OLCI cw_station_code=MAR cw_station_name=European Organization for the Exploitation of Meteorological Satellites cw_swath_sync_lines=1 Easternmost_Easting=60.033750000000026 geospatial_lat_max=44.88375 geospatial_lat_min=-0.1087500000000044 geospatial_lat_resolution=0.0075000000000000015 geospatial_lat_units=degrees_north geospatial_lon_max=60.033750000000026 geospatial_lon_min=-0.03374999999997864 geospatial_lon_resolution=0.007500000000000001 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=[cwutils 4.1.0.53 20250211_095418] cwcomposite --pedantic --coherent chlor_a/latitude --optimal sat_zenith/minabs --method optimal --inputs - --match ^(wqsf1|wqsf0|latitude|longitude|sat_zenith|chlor_a)$ /home/pub/svc_cwatch/aps/aps_r/browse/lvl4/modis/coastwatch/hdf/OLCVCW_J2025157_C5_055733_060033_060333_073832_074132_LI00_closest_chlora.hdf [cwutils 4.1.0.53 20250211_095418] cwgraphics /home/pub/svc_cwatch/aps/aps_r/browse/lvl4/modis/coastwatch/hdf/OLCVCW_J2025157_C5_055733_060033_060333_073832_074132_LI00_closest_chlora.hdf [cwutils 4.1.0.53 20250211_095418] cwimport --match=^graphics$ --copy /home/pub/svc_cwatch/aps/aps/aps/share/coastwatch/icons/North750XY0045Geographic.hdf /home/pub/svc_cwatch/aps/aps_z/browse/lvl4/modis/coastwatch/maskhdf/OLCVCW_J2025157_J2025157_F1_XY00_closest_chlora.hdf id=noaacwS3BOLCIchlaSectorXYDaily infoUrl=https://coastwatch.noaa.gov/cw/satellite-data-products/ocean-color/near-real-time/olci-sentinel3-global.html institution=Copernicus Program instrument=OLCI keywords_vocabulary=GCMD Science Keywords naming_authority=gov.noaa.coastwatch Northernmost_Northing=44.88375 OBSERVED_PROPERTY=chlor_a platform=Sentinel-3B source=Sentinel-3B_OLCI_chlora sourceUrl=(local files) Southernmost_Northing=-0.1087500000000044 standard_name_vocabulary=CF Standard Name Table v29 testOutOfDate=now-2days time_coverage_end=2025-06-06T12:00:00Z time_coverage_start=2024-06-03T12:00:00Z Westernmost_Easting=-0.03374999999997864

  11. GIS Shapefile - BES Telephone Survey geocoded for Baltimore County. XY...

    • search.dataone.org
    • portal.edirepository.org
    Updated Apr 5, 2019
    + more versions
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    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove (2019). GIS Shapefile - BES Telephone Survey geocoded for Baltimore County. XY positions file. [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-bes%2F337%2F610
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    Dataset updated
    Apr 5, 2019
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove
    Time period covered
    Jan 1, 1999 - Dec 31, 2011
    Area covered
    Description

    Tags survey, environmental behaviors, lifestyle, status, PRIZM, Baltimore Ecosystem Study, LTER, BES Summary BES Research, Applications, and Education Description XY Positions for BES telephone survey. The BES Household Survey 2003 is a telephone survey of metropolitan Baltimore residents consisting of 29 questions. The survey research firm, Hollander, Cohen, and McBride conducted the survey, asking respondents questions about their outdoor recreation activities, watershed knowledge, environmental behavior, neighborhood characteristics and quality of life, lawn maintenance, satisfaction with life, neighborhood, and the environment, and demographic information. The data from each respondent is also associated with a PRIZM� classification, census block group, and latitude-longitude. PRIZM� classifications categorize the American population using Census data, market research surveys, public opinion polls, and point-of-purchase receipts. The PRIZM� classification is spatially explicit allowing the survey data to be viewed and analyzed spatially and allowing specific neighborhood types to be identified and compared based on the survey data. The census block group and latitude-longitude data also allow us additional methods of presenting and analyzing the data spatially. The household survey is part of the core data collection of the Baltimore Ecosystem Study to classify and characterize social and ecological dimensions of neighborhoods (patches) over time and across space. This survey is linked to other core data including US Census data, remotely-sensed data, and field data collection, including the BES DemSoc Field Observation Survey. The BES 2003 telephone survey was conducted by Hollander, Cohen, and McBride from September 1-30, 2003. The sample was obtained from the professional sampling firm Claritas, in order that their "PRIZM" encoding would be appended to each piece of sample (telephone number) supplied. Mailing addresses were also obtained so that a postcard could be sent in advance of interviewers calling. The postcard briefly informed potential respondents about the survey, who was conducting it, and that they might receive a phone call in the next few weeks. A stratified sampling method was used to obtain between 50 - 150 respondents in each of the 15 main PRIZM classifications. This allows direct comparison of PRIZM classifications. Analysis of the data for the general metropolitan Baltimore area must be weighted to match the population proportions normally found in the region. They obtained a total of 9000 telephone numbers in the sample. All 9,000 numbers were dialed but contact was only made on 4,880. 1508 completed an interview, 2524 refused immediately, 147 broke off/incomplete, 84 respondents had moved and were no longer in the correct location, and a qualified respondent was not available on 617 calls. This resulted in a response rate of 36.1% compared with a response rate of 28.2% in 2000. The CATI software (Computer Assisted Terminal Interviewing) randomized the random sample supplied, and was programmed for at least 3 attempted callbacks per number, with emphasis on pulling available callback sample prior to accessing uncalled numbers. Calling was conducted only during evening and weekend hours, when most head of households are home. The use of CATI facilitated stratified sampling on PRIZM classifications, centralized data collection, standardized interviewer training, and reduced the overall cost of primary data collection. Additionally, to reduce respondent burden, the questionnaire was revised to be concise, easy to understand, minimize the use of open-ended responses, and require an average of 15 minutes to complete. The household survey is part of the core data collection of the Baltimore Ecosystem Study to classify and characterize social and ecological dimensions of neighborhoods (patches) over time and across space. This survey is linked to other core data, including US Census data, remotely-sensed data, and field data collection, including the BES DemSoc Field Observation Survey. Additional documentation of this database is attached to this metadata and includes 4 documents, 1) the telephone survey, 2) documentation of the telephone survey, 3) metadata for the telephone survey, and 4) a description of the attribute data in the BES survey 2003 survey. This database was created by joining the GDT geographic database of US Census Block Group geographies for the Baltimore Metropolitan Statisticsal Area (MSA), with the Claritas PRIZM database, 2003, of unique classifications of each Census Block Group, and the unique PRIZM code for each respondent from the BES Household Telephone Survey, 2003. The GDT database is preferred and used because of its higher spatial accuracy than other databases describin... Visit https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-bes%2F337%2F610 for complete metadata about this dataset.

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MapMaker (2023). Coordinates [Dataset]. https://help-mpmkr.hub.arcgis.com/datasets/coordinates

Coordinates

Explore at:
Dataset updated
May 23, 2023
Dataset authored and provided by
MapMaker
Description

In this skill builder, you'll work with coordinates on the map. You'll do the following:View the coordinates as you move your mouse over the map Copy the coordinates Capture the coordinates of a location clicked on the map Convert the coordinates between different formats, including latitude and longitude (XY), decimal degrees (DD), degrees decimal minutes (DDM), degrees minutes seconds (DMS), military grid reference system (MGRS), United States National Grid (USNG), and Universal Transverse Mercator (UTM) Enter a coordinate and go to that location on the map

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