76 datasets found
  1. t

    GEO EXPLORER AIS Vessel Tracking | Live Position by MMSI: 244863000, IMO:...

    • tradlinx.com
    Updated Apr 22, 2025
    + more versions
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    TRADLINX (2025). GEO EXPLORER AIS Vessel Tracking | Live Position by MMSI: 244863000, IMO: 9405069 [Dataset]. https://www.tradlinx.com/vessel-tracking/177854-GEO-EXPLORER-MMSI-244863000-IMO-9405069
    Explore at:
    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    TRADLINX
    Variables measured
    ETA, IMO, Flag, MMSI, Speed, Width, Course, Length, Draught, AIS Type, and 3 more
    Description

    Track the GEO EXPLORER in real-time with AIS data. TRADLINX provides live vessel position, speed, and course updates. Search by MMSI: 244863000, IMO: 9405069

  2. o

    gCube GeoExplorer. Release 2.7.1

    • explore.openaire.eu
    Updated Jan 1, 2015
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    Mangiacrapa F. (2015). gCube GeoExplorer. Release 2.7.1 [Dataset]. https://explore.openaire.eu/search/other?orpId=cnr_::0c74b257d914644adf90aa181e11138c
    Explore at:
    Dataset updated
    Jan 1, 2015
    Authors
    Mangiacrapa F.
    Description

    gCube GeoExplorer is a web application that allows users to navigate, search, organize and download GIS Layers. GeoExplorer operates on a GeoNetwork instance in order to discover layers (and metadatas) residing on a distributed e-Infrastructure.

  3. GeoJSON files for the MCSC's Trucking Industry Decarbonization Explorer...

    • zenodo.org
    • data.niaid.nih.gov
    zip
    Updated May 28, 2025
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    Danika Eamer; Danika Eamer; Micah Borrero; Micah Borrero; Noman Bashir; Noman Bashir (2025). GeoJSON files for the MCSC's Trucking Industry Decarbonization Explorer (Geo-TIDE) [Dataset]. http://doi.org/10.5281/zenodo.13207716
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    zipAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Danika Eamer; Danika Eamer; Micah Borrero; Micah Borrero; Noman Bashir; Noman Bashir
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary

    Geojson files used to visualize geospatial layers relevant to identifying and assessing trucking fleet decarbonization opportunities with the MIT Climate & Sustainability Consortium's Geospatial Trucking Industry Decarbonization Explorer (Geo-TIDE) tool.

    Relevant Links

    Link to the online version of the tool (requires creation of a free user account).

    Link to GitHub repo with source code to produce this dataset and deploy the Geo-TIDE tool locally.

    Funding

    This dataset was produced with support from the MIT Climate & Sustainability Consortium.

    Original Data Sources

    These geojson files draw from and synthesize a number of different datasets and tools. The original data sources and tools are described below:

    Filename(s)Description of Original Data Source(s)Link(s) to Download Original Data
    License and Attribution for Original Data Source(s)

    faf5_freight_flows/*.geojson

    trucking_energy_demand.geojson

    highway_assignment_links_*.geojson

    infrastructure_pooling_thought_experiment/*.geojson

    Regional and highway-level freight flow data obtained from the Freight Analysis Framework Version 5. Shapefiles for FAF5 region boundaries and highway links are obtained from the National Transportation Atlas Database. Emissions attributes are evaluated by incorporating data from the 2002 Vehicle Inventory and Use Survey and the GREET lifecycle emissions tool maintained by Argonne National Lab.

    Shapefile for FAF5 Regions

    Shapefile for FAF5 Highway Network Links

    FAF5 2022 Origin-Destination Freight Flow database

    FAF5 2022 Highway Assignment Results

    Attribution for Shapefiles: United States Department of Transportation Bureau of Transportation Statistics National Transportation Atlas Database (NTAD). Available at: https://geodata.bts.gov/search?collection=Dataset.

    License for Shapefiles: This NTAD dataset is a work of the United States government as defined in 17 U.S.C. § 101 and as such are not protected by any U.S. copyrights. This work is available for unrestricted public use.

    Attribution for Origin-Destination Freight Flow database: National Transportation Research Center in the Oak Ridge National Laboratory with funding from the Bureau of Transportation Statistics and the Federal Highway Administration. Freight Analysis Framework Version 5: Origin-Destination Data. Available from: https://faf.ornl.gov/faf5/Default.aspx. Obtained on Aug 5, 2024. In the public domain.

    Attribution for the 2022 Vehicle Inventory and Use Survey Data: United States Department of Transportation Bureau of Transportation Statistics. Vehicle Inventory and Use Survey (VIUS) 2002 [supporting datasets]. 2024. https://doi.org/10.21949/1506070

    Attribution for the GREET tool (original publication): Argonne National Laboratory Energy Systems Division Center for Transportation Research. GREET Life-cycle Model. 2014. Available from this link.

    Attribution for the GREET tool (2022 updates): Wang, Michael, et al. Summary of Expansions and Updates in GREET® 2022. United States. https://doi.org/10.2172/1891644

    grid_emission_intensity/*.geojson

    Emission intensity data is obtained from the eGRID database maintained by the United States Environmental Protection Agency.

    eGRID subregion boundaries are obtained as a shapefile from the eGRID Mapping Files database.

    eGRID database

    Shapefile with eGRID subregion boundaries

    Attribution for eGRID data: United States Environmental Protection Agency: eGRID with 2022 data. Available from https://www.epa.gov/egrid/download-data. In the public domain.

    Attribution for shapefile: United States Environmental Protection Agency: eGRID Mapping Files. Available from https://www.epa.gov/egrid/egrid-mapping-files. In the public domain.

    US_elec.geojson

    US_hy.geojson

    US_lng.geojson

    US_cng.geojson

    US_lpg.geojson

    Locations of direct current fast chargers and refueling stations for alternative fuels along U.S. highways. Obtained directly from the Station Data for Alternative Fuel Corridors in the Alternative Fuels Data Center maintained by the United States Department of Energy Office of Energy Efficiency and Renewable Energy.

    US_elec.geojson

    US_hy.geojson

    US_lng.geojson

    US_cng.geojson

    US_lpg.geojson

    Attribution: U.S. Department of Energy, Energy Efficiency and Renewable Energy. Alternative Fueling Station Corridors. 2024. Available from: https://afdc.energy.gov/corridors. In the public domain.

    These data and software code ("Data") are provided by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC ("Alliance"), for the U.S. Department of Energy ("DOE"), and may be used for any purpose whatsoever.

    daily_grid_emission_profiles/*.geojson

    Hourly emission intensity data obtained from ElectricityMaps.

    Original data can be downloaded as csv files from the ElectricityMaps United States of America database

    Shapefile with region boundaries used by ElectricityMaps

    License: Open Database License (ODbL). Details here: https://www.electricitymaps.com/data-portal

    Attribution for csv files: Electricity Maps (2024). United States of America 2022-23 Hourly Carbon Intensity Data (Version January 17, 2024). Electricity Maps Data Portal. https://www.electricitymaps.com/data-portal.

    Attribution for shapefile with region boundaries: ElectricityMaps contributors (2024). electricitymaps-contrib (Version v1.155.0) [Computer software]. https://github.com/electricitymaps/electricitymaps-contrib.

    gen_cap_2022_state_merged.geojson

    trucking_energy_demand.geojson

    Grid electricity generation and net summer power capacity data is obtained from the state-level electricity database maintained by the United States Energy Information Administration.

    U.S. state boundaries obtained from "https://www.sciencebase.gov/catalog/item/52c78623e4b060b9ebca5be5">this United

  4. o

    gCube GeoExplorer

    • explore.openaire.eu
    Updated Jan 1, 2013
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    Mangiacrapa F. (2013). gCube GeoExplorer [Dataset]. https://explore.openaire.eu/search/other?orpId=dedup_wf_002::475fb28fdc505ea760fcddf9bd8d6a4c
    Explore at:
    Dataset updated
    Jan 1, 2013
    Authors
    Mangiacrapa F.
    Description

    gCube GeoExplorer is a web application that allows users to navigate, search, organize and download GIS Layers. GeoExplorer operates on a GeoNetwork instance in order to discover layers (and metadata) residing on a distributed e-Infrastructure.

  5. e

    Lohkojen jakautuminen merenpohjassa - WMS

    • data.europa.eu
    wms
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    Lohkojen jakautuminen merenpohjassa - WMS [Dataset]. https://data.europa.eu/data/datasets/9bc75658-5937-40d3-bb71-2ad171d23419?locale=fi
    Explore at:
    wmsAvailable download formats
    Description

    Ruudukkokartta lohkareiden (>50 cm) spatiaalista jakautumista varten merenpohjassa

  6. h

    SwissView

    • huggingface.co
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    ECEO Lab @ EPFL, SwissView [Dataset]. https://huggingface.co/datasets/EPFL-ECEO/SwissView
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    Dataset authored and provided by
    ECEO Lab @ EPFL
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset Card for SwissView Dataset

      Project Page
    

    https://limirs.github.io/GeoExplorer/ GeoExplorer: Active Geo-localization with Curiosity-Driven Exploration

      Dataset Summary
    

    This dataset consists of two subsets:

    SwissViewMonuments: which includes 15 images of atypical or distinctive scenes, such as unusual buildings and landscapes, with corresponding ground level images. SwissView100, which comprises 100 images randomly selected from across the Swiss territory… See the full description on the dataset page: https://huggingface.co/datasets/EPFL-ECEO/SwissView.

  7. a

    Oregon Public Land Survey

    • oregon-explorer-osugisci.hub.arcgis.com
    • data.oregon.gov
    • +4more
    Updated May 23, 2024
    + more versions
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    Oregon State University GISci (2024). Oregon Public Land Survey [Dataset]. https://oregon-explorer-osugisci.hub.arcgis.com/datasets/oregon-public-land-survey
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    Dataset updated
    May 23, 2024
    Dataset authored and provided by
    Oregon State University GISci
    Area covered
    Description

    This data layer is an element of the Oregon GIS Framework. This theme contains PLS lines for the State of Oregon. ThisPls theme includes donation claims lands. Attributes in this theme show Township Range and Section values.Full details: https://geohub-oregon-geo.hub.arcgis.com/datasets/oregon-geo::oregon-public-land-survey/about

  8. a

    OpenStreetMap

    • ethiopia.africageoportal.com
    • data.baltimorecity.gov
    • +32more
    Updated May 19, 2020
    + more versions
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    Africa GeoPortal (2020). OpenStreetMap [Dataset]. https://ethiopia.africageoportal.com/maps/a5511fbe18ce46788b78adbcba13bc1e
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    Dataset updated
    May 19, 2020
    Dataset authored and provided by
    Africa GeoPortal
    Area covered
    Description

    This web map references the live tiled map service from the OpenStreetMap project. OpenStreetMap (OSM) is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information such as free satellite imagery, and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap server: http://www.OpenStreetMap.org. See that website for additional information about OpenStreetMap. It is made available as a basemap for GIS work in Esri products under a Creative Commons Attribution-ShareAlike license.Tip: This service is one of the basemaps used in the ArcGIS.com map viewer and ArcGIS Explorer Online. Simply click one of those links to launch the interactive application of your choice, and then choose Open Street Map from the Basemap control to start using this service. You'll also find this service in the Basemap gallery in ArcGIS Explorer Desktop and ArcGIS Desktop 10.

  9. Landsat Explorer Classic (Mature Support)

    • caribbeangeoportal.com
    • morocco.africageoportal.com
    • +5more
    Updated Jan 10, 2018
    + more versions
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    Esri (2018). Landsat Explorer Classic (Mature Support) [Dataset]. https://www.caribbeangeoportal.com/datasets/esri::landsat-explorer-classic-mature-support
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    Dataset updated
    Jan 10, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Description

    Important Note: This item is in mature support as of February 2024 and is no longer being updated. A new version of this item is available for your use.This web application highlights some of the capabilities for accessing Landsat imagery layers, powered by ArcGIS for Server, accessing Landsat Public Datasets running on the Amazon Web Services Cloud. The layers are updated with new Landsat images on a daily basis.Created for you to visualize our planet and understand how the Earth has changed over time, the Esri Landsat Explorer app provides the power of Landsat satellites, which gather data beyond what the eye can see. Use this app to draw on Landsat's different bands to better explore the planet's geology, vegetation, agriculture, and cities. Additionally, access the entire Landsat archive to visualize how the Earth's surface has changed over the last forty years.Quick access to the following band combinations and indices is provided:Agriculture : Highlights agriculture in bright green; Bands 6, 5, 2Natural Color : Sharpened with 15m panchromatic band; Bands 4, 3, 2 +8Color Infrared : Healthy vegetation is bright red; Bands 5, 4 ,3 SWIR (Short Wave Infrared) : Highlights rock formations; Bands 7, 6, 4Geology : Highlights geologic features; Bands 7, 6, 2Bathymetric : Highlights underwater features; Bands 4, 3, 1Panchromatic : Panchromatic images at 15m; Band 8Vegetation Index : Normalized Difference Vegetation Index(NDVI); (Band 5 - Band 4)/(Band 5 + Band 4)Moisture Index : Normalized Difference Moisture Index (NDMI); (Band 5 - Band 6)/(Band 5 + Band 6)SAVI : Soil Adjusted Veg. Index); Offset + Scale*(1.5*(Band 5 - Band 4)/(Band 5 + Band 4 + 0.5))Water Index : Offset + Scale*(Band 3 - Band 6)/(Band 3 + Band 6)Burn Index : Offset + Scale*(Band 5 - Band 7)/(Band 5 + Band 7)Urban Index : Offset + Scale*(Band 5 - Band 6)/(Band 5 + Band 6)Optionally, you can also choose the "Custom Bands" or "Custom Index" option to create your own band combinationsThe Time tool enables access to a temporal time slider and a temporal profile of different indices for a selected point. The Time tool is only accessible at larger zoom scales. It provides temporal profiles for NDVI (Normalized Difference Vegetation Index), NDMI (Normalized Difference Moisture Index) and Urban Index. The Identify tool enables access to information on the images, and can also provide a spectral profile for a selected point. The Stories tool will direct you to pre-selected interesting locations.The application is written using Web AppBuilder for ArcGIS accessing imagery layers using ArcGIS API for JavaScript.The following Imagery Layers are being accessed : Multispectral Landsat - Provides access to 30m 8-band multispectral imagery and a range of functions that provide different band combinations and indices.Pansharpened Landsat - Provides access to 15m 4-band (Red, Green, Blue and NIR) panchromatic-sharpened imagery.Panchromatic Landsat - Provides access to 15m panchromatic imagery. These imagery layers can be accessed through the public group Landsat Community on ArcGIS Online.

  10. d

    Processed Gridded Acoustic Backscatter Data from the Mendocino Ridge...

    • search.dataone.org
    • marine-geo.org
    • +2more
    Updated Mar 4, 2019
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    IEDA: Marine-Geo Digital Library (2019). Processed Gridded Acoustic Backscatter Data from the Mendocino Ridge Fracture Zone acquired during Okeanos Explorer expedition EX0903 (2009) [Dataset]. http://doi.org/10.1594/IEDA/316354
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    Dataset updated
    Mar 4, 2019
    Dataset provided by
    IEDA: Marine-Geo Digital Library
    Time period covered
    May 5, 2009 - May 26, 2009
    Area covered
    Description

    This data set was acquired with a hull-mounted Kongsberg EM302 Multibeam Sonar system during Okeanos Explorer expedition EX0903 conducted in 2009 (Chief Scientist Dr. James Gardner). These data files are in ESRI ASCII Grid format and include gridded Acoustic Backscatter data and were processed after data collection. The data set was acquired as part of the project called Mendocino Ridge - UNH Law of the Sea Mapping.

  11. A

    Global Data Explorer (GDEx)

    • data.amerigeoss.org
    • disasters.amerigeoss.org
    • +1more
    esri rest, html
    Updated Nov 9, 2018
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    AmeriGEO ArcGIS (2018). Global Data Explorer (GDEx) [Dataset]. https://data.amerigeoss.org/fr/dataset/global-data-explorer-gdex
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    esri rest, htmlAvailable download formats
    Dataset updated
    Nov 9, 2018
    Dataset provided by
    AmeriGEO ArcGIS
    Description

    The Global Data Explorer (GDEx) tool allows users to browse and download ASTER GDEM data based on geographic areas of interest or predefined regions, including state, province, and county (for the United States). Data output from GDEx is available in GeoTIFF or ArcASCII format. GDEx is the result of collaboration between the LP DAAC and George Mason University's Center for Spatial Information Science and Systems.

  12. b

    Census 1880 (Social Explorer)

    • geo.btaa.org
    Updated Mar 19, 2021
    + more versions
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    Social Explorer (2021). Census 1880 (Social Explorer) [Dataset]. https://geo.btaa.org/catalog/47cb8bde-943f-4e99-b5fd-1b444ea67e2d
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    Dataset updated
    Mar 19, 2021
    Authors
    Social Explorer
    Time period covered
    1880
    Description

    Census 1880 is a data layer within the U.S. Decennial Census category of the Social Explorer application. To find each layer, log in to Social Explorer, select a category, and browse to the desired layer.

  13. Capital Projects Explorer District Shapes

    • data.mesaaz.gov
    • citydata.mesaaz.gov
    Updated Jun 16, 2025
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    Office of Management and Budget, Engineering (2025). Capital Projects Explorer District Shapes [Dataset]. https://data.mesaaz.gov/Office-of-Management-and-Budget/Capital-Projects-Explorer-District-Shapes/kjgb-ix2d
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    csv, application/rssxml, xml, application/rdfxml, kmz, tsv, kml, application/geo+jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset provided by
    United States Office of Management and Budgethttp://www.whitehouse.gov/omb
    Authors
    Office of Management and Budget, Engineering
    Description

    This dataset defines the geographical information system (GIS) used to note the Council District boundaries for the City of Mesa, AZ. A geographic information system (GIS) is a conceptualized framework that provides the ability to capture and analyze spatial and geographic data. Dataset is used by the Capital Projects Explorer application (https://cip.mesaaz.gov).

  14. m

    Processed Acoustic Backscatter and Swath Bathymetry Data from the Cascadia...

    • marine-geo.org
    Updated Jun 20, 2009
    + more versions
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    MGDS > Marine Geoscience Data System (2009). Processed Acoustic Backscatter and Swath Bathymetry Data from the Cascadia Focus Site Geo acquired during R/V Okeanos Explorer expedition EX0904 (2009) [Dataset]. https://www.marine-geo.org/tools/search/Files.php?data_set_uid=21878
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    Dataset updated
    Jun 20, 2009
    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

    Time period covered
    Jun 3, 2009 - Jun 19, 2009
    Area covered
    Description

    This data set was acquired with a Kongsberg Maritime EM302 Multibeam Sonar during R/V Okeanos Explorer expedition EX0904 conducted in 2009 (Chief Scientist: Catalina Martinez). These data files are of MBSystem-compatible format and include Acoustic Backscatter and Swath Bathymetry data that were processed after acquisition. This data was processed by NOAA OER and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 3.0).

  15. O

    Capital Projects Explorer Project Shapes

    • data.mesaaz.gov
    • citydata.mesaaz.gov
    Updated Jun 16, 2025
    + more versions
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    Engineering (2020). Capital Projects Explorer Project Shapes [Dataset]. https://data.mesaaz.gov/Office-of-Management-and-Budget/Capital-Projects-Explorer-Project-Shapes/rwes-dxag
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    tsv, csv, xml, application/rdfxml, application/rssxml, application/geo+json, kmz, kmlAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Engineering
    Description

    This dataset defines the geographical information system (GIS) used to note the boundaries of capital projects initiated or paid for by the City of Mesa, AZ. A geographic information system (GIS) is a conceptualized framework that provides the ability to capture and analyze spatial and geographic data. This dataset is used by the Capital Projects Explorer application (https://cip.mesaaz.gov).

  16. e

    Blokverdeling op de zeebodem - WMS

    • data.europa.eu
    wms
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    Blokverdeling op de zeebodem - WMS [Dataset]. https://data.europa.eu/data/datasets/9bc75658-5937-40d3-bb71-2ad171d23419?locale=nl
    Explore at:
    wmsAvailable download formats
    Description

    Rasterkaart voor de ruimtelijke verdeling van blokken (>50 cm) op de zeebodem

  17. a

    PA Conservation Explorer

    • pa-geo-data-pennmap.hub.arcgis.com
    • newdata-dcnr.opendata.arcgis.com
    Updated Mar 4, 2016
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    PA Department of Conservation & Natural Resources (2016). PA Conservation Explorer [Dataset]. https://pa-geo-data-pennmap.hub.arcgis.com/datasets/DCNR::pa-conservation-explorer
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    Dataset updated
    Mar 4, 2016
    Dataset authored and provided by
    PA Department of Conservation & Natural Resources
    Area covered
    Pennsylvania
    Description

    Welcome to Pennsylvania Conservation Explorer—a one stop shop for conservation planning and PNDI environmental review. The Explorer provides conservation information on biological diversity, protected lands, streams and other natural resources for planning purposes and also allows users to screen a project area for potential impacts to threatened, endangered, and special concern species.Conservation Planning: The Explorer allows users to access conservation planning information without having to log in. Here, users will see locations of natural heritage areas, protected lands and high quality streams. Users can prepare a conservation report for use in local planning or project specific assessment. Click here for Conservation Planning.PNDI Environmental Review: To access Pennsylvania Natural Diversity Inventory (PNDI) information for environmental review purposes, users will be required to register and login. To register, click on Create new account. After logging in, users will be able to view the same information as Conservation Planning, but they will also see PNDI species and habitat information. After viewing information in their project area, users can screen their project for potential impacts to PNDI species and obtain a PNDI Receipt with conservation measures, avoidance measures and next steps. If users obtain a PNDI receipt, a convenience charge of $40 per project using Visa, MasterCard or Discover Card will be applied. Click here for PNDI Environmental Review.

  18. d

    Raw ship-based Navigation Data from the Mendocino Ridge Fracture Zone...

    • search.dataone.org
    • get.iedadata.org
    • +1more
    Updated Mar 4, 2019
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    IEDA: Marine-Geo Digital Library (2019). Raw ship-based Navigation Data from the Mendocino Ridge Fracture Zone acquired during the Okeanos Explorer expedition EX0903 (2009) [Dataset]. http://doi.org/10.1594/IEDA/316351
    Explore at:
    Dataset updated
    Mar 4, 2019
    Dataset provided by
    IEDA: Marine-Geo Digital Library
    Time period covered
    May 5, 2009 - May 26, 2009
    Area covered
    Description

    This data set was acquired with a ship-based Navigation system during Okeanos Explorer expedition EX0903 conducted in 2009 (Chief Scientist: Dr. James Gardner). These data files are of Text File (ASCII) format and include Navigation data that have not been processed. Data were acquired as part of the project(s): NOAA Ocean Exploration and Mendocino Ridge - UNH Law of the Sea Mapping.

  19. a

    Oregon Mask

    • owdp-geo.hub.arcgis.com
    • oregon-explorer-osugisci.hub.arcgis.com
    Updated Nov 21, 2024
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    Oregon ArcGIS Online (2024). Oregon Mask [Dataset]. https://owdp-geo.hub.arcgis.com/items/57dda0a430224dd1a01da9740865827e
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    Dataset updated
    Nov 21, 2024
    Dataset authored and provided by
    Oregon ArcGIS Online
    Area covered
    Oregon
    Description

    U.S. States and Canada Provinces represents the states of the United States and the provinces of Canada.

    Metadata https://oe.oregonexplorer.info/metadata/bnd_us_states.htm

    Download https://oregonexplorer.info/ExternalContent/SpatialDataForDownload/bnd_us_states.zip

  20. Capital Projects Explorer Project Details

    • data.mesaaz.gov
    • citydata.mesaaz.gov
    application/rdfxml +5
    Updated Jun 16, 2025
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    Office of Management and Budget (2025). Capital Projects Explorer Project Details [Dataset]. https://data.mesaaz.gov/Office-of-Management-and-Budget/Capital-Projects-Explorer-Project-Details/tft3-rpu9
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    application/rssxml, csv, json, application/rdfxml, tsv, xmlAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset provided by
    United States Office of Management and Budgethttp://www.whitehouse.gov/omb
    Authors
    Office of Management and Budget
    Description

    Information about Capital Improvement Projects (CIP) planned, in progress or completed by the City of Mesa. A Capital Project is a project that helps maintain or improve a City asset, often called infrastructure. For example, total capital project budget, current year budgeted amount, project spent to date, project milestone dates and geographical information system (GIS) data. A geographic information system (GIS) is a framework that provides the ability to capture and analyze spatial and geographic data. This dataset is used as part of Capital Projects Explorer (https://cip.mesaaz.gov).

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TRADLINX (2025). GEO EXPLORER AIS Vessel Tracking | Live Position by MMSI: 244863000, IMO: 9405069 [Dataset]. https://www.tradlinx.com/vessel-tracking/177854-GEO-EXPLORER-MMSI-244863000-IMO-9405069

GEO EXPLORER AIS Vessel Tracking | Live Position by MMSI: 244863000, IMO: 9405069

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Dataset updated
Apr 22, 2025
Dataset authored and provided by
TRADLINX
Variables measured
ETA, IMO, Flag, MMSI, Speed, Width, Course, Length, Draught, AIS Type, and 3 more
Description

Track the GEO EXPLORER in real-time with AIS data. TRADLINX provides live vessel position, speed, and course updates. Search by MMSI: 244863000, IMO: 9405069

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