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
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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.
This dataset was produced with support from the MIT Climate & Sustainability Consortium.
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 Highway Network Links FAF5 2022 Origin-Destination Freight Flow database FAF5 2022 Highway Assignment Results
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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. |
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. |
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 |
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 |
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.
Ruudukkokartta lohkareiden (>50 cm) spatiaalista jakautumista varten merenpohjassa
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
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.
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
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.
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.
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.
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.
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.
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).
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
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).
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).
Rasterkaart voor de ruimtelijke verdeling van blokken (>50 cm) op de zeebodem
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.
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.
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
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).
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