82 datasets found
  1. BLM Natl Kansas MMPK

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated May 8, 2025
    + more versions
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    Bureau of Land Management (2025). BLM Natl Kansas MMPK [Dataset]. https://catalog.data.gov/dataset/blm-natl-kansas-mmpk
    Explore at:
    Dataset updated
    May 8, 2025
    Dataset provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Kansas
    Description

    Mobile Map Packages (MMPK’s) can be used in the ESRI Field Maps app (no login required), either by direct download in the Field Maps app or by sideloading from your PC. They can also be used in desktop applications that support MMPK’s such as ArcGIS Pro, and ArcGIS Navigator. MMPK’s will expire quarterly and have a warning for the user at that time but will still function afterwards. They are updated quarterly to ensure you have the most up to date data possible. These mobile map packages include the following national datasets along with others: Surface Management Agency, Public Land Survey System (PLSS), BLM Recreation Sites, National Conservation Lands, ESRI’s Navigation Basemap and Vector Tile Package. Last updated 20250321. Contact jlzimmer@blm.gov with any questions.

  2. v

    Dover Vt MRGP Mobile Map, WRC

    • anrgeodata.vermont.gov
    Updated Sep 20, 2022
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    Windham Regional Commission (2022). Dover Vt MRGP Mobile Map, WRC [Dataset]. https://anrgeodata.vermont.gov/maps/117dfc6fa7974e45a079c1e9214869fe
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    Dataset updated
    Sep 20, 2022
    Dataset authored and provided by
    Windham Regional Commission
    Area covered
    Description

    Reporter for MRGPThe Reporter for MRGP doesn't require you to download any apps to complete an inventory; all you need is an internet connection and web browser. The Reporter includes culverts and bridges from VTCULVERTS, town highways from Vtrans and the current status of the MRGP segments and outlets on the map.MRGP Fieldworker SolutionNotes on MRGP fieldworker solution: July 12, 2021. The MRGP map now displays the current status of road segments and outlets. Fieldworkers using the MRGP solution should remove the offline map area(s) from their device, and keep their new offline map current, by syncing their map. Enabling auto-sync will get you the current segment or outlet status automatically. See FAQ section below for more information. Road Erosion Inventory forms are available and have a new look and feel this year. The drainage ditch survey is broken out into three pages for a better user experience. The first page contains survey and segment information, the second; the inventory, and the third; barriers to implementation. You will notice the questions are outlined by section so it’s easier to follow along too. The questions have remained the same. Survey123 has a new option requiring users to update surveys on their mobile device. That option has been enabled for the two MRGP Survey123 forms. Step 1: Download the free mobile appsFor fieldworkers to collect and submit data to VT DEC, two free apps are required: ArcGIS Collector or Field Maps and Survey123. ArcGIS Collector or Field Maps is used first to locate the segment or outlet for inventory, and Survey123, for completing the Road Erosion Inventory. ArcGIS Field Maps is ESRI’s new all-in-one app for field work and will replace ArcGIS Collector. You can download ArcGIS Collector or ArcGIS Fields Maps and Survey123 from the Google Play Store.You can download ArcGIS Collector or ArcGIS Field Maps and Survey123 from Apple Store.

    Step 2: Sign into the mobile appYou will need appropriate credentials to access fieldworker solution, please contact your Regional Planning Commission’s Transportation Planner or Jim Ryan (MRGP Program Lead) at (802) 490-6140.Open Collector for ArcGIS, select ‘ArcGIS Online’ as shown below, and enter the user name and password. The credential is saved unless you sign out. Step 3: Open the MRGP Mobile MapIf you’re working in an area that has a reliable data connection (e.g. LTE or 4G), open the map below by selecting it.Step 4: Select a road segment or outlet for inventoryUse your location, button circled in red below, select the segment or outlet you need to inventory, and select 'Update Road Segment Status' from the pop-up to launch Survey123.

    Step 5: Complete the Road Erosion Inventory and submit inventory to DECSelecting 'Update Road Segment Status' opens Survey123, downloads the relevant survey and pre-populates the REI with important information for reporting to DEC. You will have to enter the same username and password to access the REI forms. The credential is saved unless you sign out of Survey123.Complete the survey using the appropriate supplement below and submit the assessment directly to VT DEC.Paved Roads with Catch Basin SupplementPaved and Gravel Roads with Drainage Ditches Supplement

    Step 6: Repeat!Go back to the ArcGIS Collector or Field Maps and select the next segment for inventory and repeat steps 1-5.

    If you have question related to inventory protocol reach out to Jim Ryan, MRGP Program Lead, at jim.ryan@vermont.gov, (802) 490-6140If you have questions about implementing the mobile data collection piece please contact Ryan Knox, ADS-ANR IT, at ryan.knox@vermont.gov, (802) 793-0297

    The location where I'm doing inventory does not have a data coverage (LTE or 4G). What can I do?ArcGIS Collector allows you take map areas offline when you think there will be spotty or no data coverage. I made a video to demonstrate the steps for taking map areas offline - https://youtu.be/OEsJrCVT8BISurvey123 operates offline by default but you need to download the survey. My recommendation is to test the fieldworker solution (Steps 1-5) before you go into the field but don't submit the test survey.Where can I download the Road Erosion Scoring shown on the the Atlas? You can download the scoring for both outlets and road segments through the VT Open Geodata Portal.https://geodata.vermont.gov/maps/VTANR::mrgp-scoring-open-data/aboutHow do I use my own ArcGIS Collector map for launching the official MRGP REI survey form? You can use the following custom url for launching Survey123, open the REI and prepopulate answers in the form. More information is here. TIP: add what's below directly in the HTML view of the popup not the link as described in the post I provided.

    Hydrologically connected segments (lines):Update Road Segment Status

    Segment ID: {SegmentID}
    Segment Status: {SegmentStatus}
    {RoadName}, {Municipality}
    Outlets: {Outlets}
    Hydrologically connected outlets (points):Update Outlet Status

    Outlet ID: {OutletID}
    Municipality: {Municipality}
    Erosion: {ErosionValue}

    How do I save my name and organization information used in subsequent surveys? Watch this short video or execute the steps below:

    Open Survey123 and open a blank REI form (Collect button) Note: it's important to open a blank form so you don't save the same segment id for all your surveys Fill-in your 'Name' and 'Organization' and clear the 'Date of Assessment field' (x button). Using the favorites menu in the top-right corner you can use the current state of your survey to 'Set as favorite answers.' Close survey and 'Save this survey in Drafts.' Use Collector to launch survey from selected feature (segment or outlet). Using the favorites menu again, 'Paste answers from favorite.

    What if the map doesn't have the outlet or road segment I need to inventory for the MRGP? Go Directly to Survey123 and complete the appropriate Road Erosion Inventory and submit the data to DEC. The survey includes a Geopoint (location) that we can use to determine where you completed the inventory.

    Where can I view the Road Erosion Inventories completed with Survey123? Using the MRGP credentials you have access to another map that shows completed REIs.Web map - Completed Road Erosion Inventories for MRGPWhere can I download the 2020-2021 data collected with Survey123?Road Segments (lines) - https://vtanr.maps.arcgis.com/home/item.html?id=f8a11de8a5a0469596ef11429ab49465Outlets (points) - https://vtanr.maps.arcgis.com/home/item.html?id=ae13a925a662490184d5c5b1b9621672Where can I download the 2019 data collected with Survey123?

    Road Segments (lines) - https://vtanr.maps.arcgis.com/home/item.html?id=f60050c6f3c04c60b053470483acb5b1 Outlets (points) - https://vtanr.maps.arcgis.com/home/item.html?id=753006f9ecf144ccac8ce37772bb2c03 Where can I download the 2018 data collected with Survey123?Outlets (points) - https://vtanr.maps.arcgis.com/home/item.html?id=124b617d142e4a1dbcfb78a00e8b9bc5Road Segments (lines) - https://vtanr.maps.arcgis.com/home/item.html?id=8abcc0fcec0441ce8ae6cd38e3812b1b Where can I download the Hydrologically Connected Road Segments and Outlets?Vermont Open Data Geoportal - https://geodata.vermont.gov/datasets/VTANR::hydrologically-connected-road-segments-1/about

    This 2019 version of the MRGP Outlets is based on professional mapping completed using DEC's Stormwater Infrastructure dataset. In catch basin systems, work was completed to match outlets to road segments that drain to them. The outlets here correspond to Outlet IDs identified in the Hydrologically connected roads segments layer. For outlets that meet standard, road segments will also meet the standard for MRGP compliance.

  3. v

    MRGP Mobile Map

    • anrgeodata.vermont.gov
    Updated Jan 19, 2018
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    Vermont Agency of Natural Resources (2018). MRGP Mobile Map [Dataset]. https://anrgeodata.vermont.gov/maps/fe11c5ffd0d04eeca968115d84dacf90
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    Dataset updated
    Jan 19, 2018
    Dataset authored and provided by
    Vermont Agency of Natural Resources
    Area covered
    Description

    MRGP NewsIf you already have an ArcGIS named user, join the MRGP Group. Doing so allows you complete the permit requirements under your organization's umbrella. As a group member you get access to the all the MRGP items without having to log-in and log-out. If you don’t have an ArcGIS member account please contact Chad McGann (MRGP Program Lead) at 802-636-7239 or your Regional Planning Commission’s Transportation Planner. April 9, 2025. Conditional logic in webform for the newly published Open Drainage Survey was not calculating properly leading to some records with "Undetermined" status and priority. Records have been rescored and survey was republished with corrective logic. Field App version not impacted.March 11, 2025. The Road Erosion Inventory Survey123 questions for Open Drainage Roads are being streamlined to make assessments faster. Coming April 1st, the survey will be changed to only ask if there is erosion depending on if the corresponding practice type is failing. This aims at using erosion as an indicator to measure the success of each of the four Open Drainage road elements to handle stormwater: crown, berm, drainage, turnout.March 29, 2023. For MRGP permitting, Lyndonville Village (GEOID 5041950) has merged with Lyndonville Town (GEOID 5000541725). 121 segments and 14 outlets have been updated to reflect the administrative change. December 8, 2023. The Open Drainage Road Inventory survey has been updated for the 2024 field season. We added and modified a few notes for clarification and corrected an issue with users submitting incomplete surveys. See FAQ section below for how to delete the old survey and download the new one. The app will notify you there's an update, and execute it, but we've experienced select-one questions with duplicate entries.November 29, 2023. The Closed Drainage Road Inventory survey has been updated for the 2024 field season. There's a new outlet status option called "Not accessible" and conditional follow-up question. This has been added to support MS4 requirements. See FAQ section below for how to delete the old survey and download the new one. The app will notify you there's an update and execute it for you but we've experienced select-one questions with duplicate entries. Reporter for MRGPThe Reporter for MRGP doesn't require you to download any apps to complete an inventory; all you need is an internet connection and web browser. The Reporter includes culverts and bridges from VTCULVERTS, town highways from Vtrans, current status for MRGP segments and outlets and second cycle progress. The Reporter is a great way to submit work completed to meet the MRGP standards. MRGP Fieldworker SolutionStep 1: Download the free mobile appsFor fieldworkers to collect and submit data to VT DEC, two free apps are required: ArcGIS Field Maps and Survey123. ArcGIS Field Maps is used first to locate the segment or outlet for inventory, and Survey123, for completing the Road Erosion Inventory.• You can download ArcGIS Fields Maps and Survey123 from the Google Play Store.• You can download ArcGIS Field Maps and Survey123 from Apple Store.Step 2: Sign into the mobile appYou will need appropriate credentials to access fieldworker solution, Please contact your Regional Planning Commission’s Transportation Planner or Chad McGann (MRGP Program Lead) at 802-636-7239.Open Field Maps, select ‘ArcGIS Online’ as shown below, and enter the user name and password. The credential is saved unless you sign out. Step 3: Open the MRGP Mobile MapIf you’re working in an area that has a reliable data connection (e.g. LTE or 4G), open the map below by selecting it.Step 4: Select a road segment or outlet for inventoryUsing your location, highlighted in red below, select the segment or outlet you need to inventory, and select 'Update Road Segment Status' from the pop-up to launch Survey123.

    Step 5: Complete the Road Erosion Inventory and submit inventory to DECSelecting 'Update Road Segment Status' opens Survey123, downloads the relevant survey and pre-populates the REI with important information for reporting to DEC. You will have to enter the same username and password to access the REI forms. The credential is saved unless you sign out of Survey123.Complete the survey using the appropriate supplement below and submit the assessment directly to VT DEC.Paved Roads with Catch Basin SupplementPaved and Gravel Roads with Drainage Ditches Supplement

    Step 6: Repeat!Go back to the ArcGIS Field Maps and select the next segment for inventory and repeat steps 1-5.

    If you have question related to inventory protocol reach out to Chad McGann, MRGP Program Lead, at chad.mcgann@vermont.gov, 802-636-7396.If you have questions about implementing the mobile data collection piece please contact Ryan Knox, ADS-ANR IT, at ryan.knox@vermont.gov, (802) 793-0297

    How do I update a survey when a new one is available?While the Survey123 app will notify you and update it for you, we've experienced some select-one questions having duplicate choices. It's a best practice to delete the old survey and download the new one. See this document for step-by-step instructions.I already have an ArcGIS member account with my organization, can I use it to complete MRGP inventories?Yes! The MRGP solution is shared within an ArcGIS Group that allows outside organizations. Click "join this group" and send an request to the ANR GIS team. This will allow you complete MRGP requirements for the REI and stay logged into your organization. Win-win situation for us both!AGOL Group: https://www.arcgis.com/home/group.html?id=027e1696b97a48c4bc50cbb931de992d#overviewThe location where I'm doing inventory does not have data coverage (LTE or 4G). What can I do?ArcGIS Field Maps allows you take map areas offline when you think there will be spotty or no data coverage. I made a video to demonstrate the steps for taking map areas offline - https://youtu.be/ScpQnenDp7wSurvey123 operates offline by default but you need to download the survey. My recommendation is to test the fieldworker solution (Steps 1-5) before you go into the field but don't submit the test survey.How do remove an offline area and create a new one? Check out this how-to document for instructions. Delete and Download Offline AreaWhere can I download the Road Erosion Scoring shown on the the Atlas? You can download the scoring for both outlets and road segments through the VT Open Geodata Portal.https://geodata.vermont.gov/search?q=mrgpHow do I use my own map for launching the official MRGP REI survey form? You can use the following custom url for launching Survey123, open the REI and prepopulate answers in the form. More information is here. TIP: add what's below directly in the HTML view of the popup not the link as described in the post I provided.

    Segments (lines):Update Road Segment StatusOutlets (points):Update Outlet Status

    How do I save my name and organization information used in subsequent surveys? Watch this short video or execute the steps below:

    Open Survey123 and open a blank REI form (Collect button) Note: it's important to open a blank form so you don't save the same segment id for all your surveys Fill-in your 'Name' and 'Organization' and clear the 'Date of Assessment field' (x button). Using the favorites menu in the top-right corner you can use the current state of your survey to 'Set as favorite answers.' Close survey and 'Save this survey in Drafts.' Use Collector to launch survey from selected feature (segment or outlet). Using the favorites menu again, 'Paste answers from favorite.

    What if the map doesn't have the outlet or road segment I need to inventory for the MRGP? Go Directly to Survey123 and complete the appropriate Road Erosion Inventory and submit the data to DEC. The survey includes a Geopoint (location) that we can use to determine where you completed the inventory.

    Where can I view the Road Erosion Inventories completed with Survey123? Use the web map below to view second cycle inventories completed with Survey123. The first cycle inventories can be downloaded below. First cycle inventories are those collected 2018-2022.Web map - Completed Road Erosion Inventories for MRGPWhere can I download the 2020-2022 data collected with Survey123?Road Segments (lines) - https://anrmaps.vermont.gov/websites/MRGP/MRGP2020_segments.zipOutlets (points) - https://anrmaps.vermont.gov/websites/MRGP/MRGP2020_outlets.zipWhere can I download the 2019 data collected with Survey123?

    Road Segments (lines) -

  4. g

    BLM Natl South Dakota MMPK

    • gimi9.com
    • catalog.data.gov
    Updated Mar 31, 2025
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    (2025). BLM Natl South Dakota MMPK [Dataset]. https://gimi9.com/dataset/data-gov_blm-natl-south-dakota-mmpk/
    Explore at:
    Dataset updated
    Mar 31, 2025
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    South Dakota
    Description

    Mobile Map Packages (MMPK’s) can be used in the ESRI Field Maps app (no login required), either by direct download in the Field Maps app or by sideloading from your PC. They can also be used in desktop applications that support MMPK’s such as ArcGIS Pro, and ArcGIS Navigator. MMPK’s will expire quarterly and have a warning for the user at that time but will still function afterwards. They are updated quarterly to ensure you have the most up to date data possible. These mobile map packages include the following national datasets along with others: Surface Management Agency, Public Land Survey System (PLSS), BLM Recreation Sites, National Conservation Lands, ESRI’s Navigation Basemap and Vector Tile Package. Last updated 20250321. Contact jlzimmer@blm.gov with any questions.

  5. g

    BLM Natl Nevada MMPK

    • gimi9.com
    • catalog.data.gov
    • +1more
    Updated Mar 31, 2025
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    (2025). BLM Natl Nevada MMPK [Dataset]. https://gimi9.com/dataset/data-gov_blm-natl-nevada-mmpk/
    Explore at:
    Dataset updated
    Mar 31, 2025
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Nevada
    Description

    Mobile Map Packages (MMPK’s) can be used in the ESRI Field Maps app (no login required), either by direct download in the Field Maps app or by sideloading from your PC. They can also be used in desktop applications that support MMPK’s such as ArcGIS Pro, and ArcGIS Navigator. MMPK’s will expire quarterly and have a warning for the user at that time but will still function afterwards. They are updated quarterly to ensure you have the most up to date data possible. These mobile map packages include the following national datasets along with others: Surface Management Agency, Public Land Survey System (PLSS), BLM Recreation Sites, National Conservation Lands, ESRI’s Navigation Basemap and Vector Tile Package. Last updated 20250321. Contact jlzimmer@blm.gov with any questions.

  6. BLM Natl Idaho MMPK

    • catalog.data.gov
    • gbp-blm-egis.hub.arcgis.com
    Updated Apr 14, 2025
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    Bureau of Land Management (2025). BLM Natl Idaho MMPK [Dataset]. https://catalog.data.gov/dataset/blm-natl-idaho-mmpk
    Explore at:
    Dataset updated
    Apr 14, 2025
    Dataset provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Idaho
    Description

    Mobile Map Packages (MMPK’s) can be used in the ESRI Field Maps app (no login required), either by direct download in the Field Maps app or by sideloading from your PC. They can also be used in desktop applications that support MMPK’s such as ArcGIS Pro, and ArcGIS Navigator. MMPK’s will expire quarterly and have a warning for the user at that time but will still function afterwards. They are updated quarterly to ensure you have the most up to date data possible. These mobile map packages include the following national datasets along with others: Surface Management Agency, Public Land Survey System (PLSS), BLM Recreation Sites, National Conservation Lands, ESRI’s Navigation Basemap and Vector Tile Package. Last updated 20250321. Contact jlzimmer@blm.gov with any questions.

  7. Data from: LP MOON MAG LEVEL 5 SURFACE MAGNETIC FIELD MAPS V1.0

    • data.nasa.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    • +1more
    Updated Mar 31, 2025
    + more versions
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    nasa.gov (2025). LP MOON MAG LEVEL 5 SURFACE MAGNETIC FIELD MAPS V1.0 [Dataset]. https://data.nasa.gov/dataset/lp-moon-mag-level-5-surface-magnetic-field-maps-v1-0-0d05b
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Lunar Prospector magnetometer (MAG) Level 4 Data (CODMAC Level 5). Large-Scale Vector Field Maps at a Common Altitude of 37 km. The spatial resolution of the grid (0.25 x 0.25 degrees) is much less than the mean S/C altitude.

  8. a

    App - ArcGIS Explorer

    • monitoring.arc-trust.org
    Updated Apr 14, 2021
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    data.officer (2021). App - ArcGIS Explorer [Dataset]. https://monitoring.arc-trust.org/datasets/a9614c8860cc4f5aaa0ddd8d8cf6ec6c
    Explore at:
    Dataset updated
    Apr 14, 2021
    Dataset authored and provided by
    data.officer
    Description

    Please note that this app has been superceded by the ArcGIS Field Maps app. If your device supports it, we recommend using ArcGIS Field Maps instead. We will continue to support use of ArcGIS Explorer for as long as possible.

  9. BLM Natl New Mexico MMPK

    • catalog.data.gov
    Updated Apr 14, 2025
    + more versions
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    Bureau of Land Management (2025). BLM Natl New Mexico MMPK [Dataset]. https://catalog.data.gov/dataset/blm-natl-new-mexico-mmpk
    Explore at:
    Dataset updated
    Apr 14, 2025
    Dataset provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    New Mexico
    Description

    Mobile Map Packages (MMPK’s) can be used in the ESRI Field Maps app (no login required), either by direct download in the Field Maps app or by sideloading from your PC. They can also be used in desktop applications that support MMPK’s such as ArcGIS Pro, and ArcGIS Navigator. MMPK’s will expire quarterly and have a warning for the user at that time but will still function afterwards. They are updated quarterly to ensure you have the most up to date data possible. These mobile map packages include the following national datasets along with others: Surface Management Agency, Public Land Survey System (PLSS), BLM Recreation Sites, National Conservation Lands, ESRI’s Navigation Basemap and Vector Tile Package. Last updated 20250321. Contact jlzimmer@blm.gov with any questions.

  10. BLM Natl Nebraska MMPK

    • gbp-blm-egis.hub.arcgis.com
    • catalog.data.gov
    Updated Nov 21, 2024
    + more versions
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    Bureau of Land Management (2024). BLM Natl Nebraska MMPK [Dataset]. https://gbp-blm-egis.hub.arcgis.com/content/65c58cf2a3fe47138a7de1e6ffd16217
    Explore at:
    Dataset updated
    Nov 21, 2024
    Dataset authored and provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Description

    Mobile Map Packages (MMPK’s) can be used in the ESRI Field Maps app (no login required), either by direct download in the Field Maps app or by sideloading from your PC. They can also be used in desktop applications that support MMPK’s such as ArcGIS Pro, and ArcGIS Navigator. MMPK’s will expire quarterly and have a warning for the user at that time but will still function afterwards. They are updated quarterly to ensure you have the most up to date data possible. These mobile map packages include the following national datasets along with others: Surface Management Agency, Public Land Survey System (PLSS), BLM Recreation Sites, National Conservation Lands, ESRI’s Navigation Basemap and Vector Tile Package. Last updated 20250321. Contact jlzimmer@blm.gov with any questions.

  11. f

    Visual field map response model parameters

    • figshare.com
    bin
    Updated Feb 9, 2022
    + more versions
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    Ben Harvey (2022). Visual field map response model parameters [Dataset]. http://doi.org/10.6084/m9.figshare.17122556.v1
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    binAvailable download formats
    Dataset updated
    Feb 9, 2022
    Dataset provided by
    figshare
    Authors
    Ben Harvey
    License

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

    Description

    Fit parameters of all neural response models to responses of voxels in each visual field map region of interest.

  12. d

    GapMaps Live Location Intelligence Platform | GIS Data | Easy-to-use| One...

    • datarade.ai
    .csv
    Updated Aug 14, 2024
    + more versions
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    GapMaps (2024). GapMaps Live Location Intelligence Platform | GIS Data | Easy-to-use| One Login for Global access [Dataset]. https://datarade.ai/data-products/gapmaps-live-location-intelligence-platform-gis-data-easy-gapmaps
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Aug 14, 2024
    Dataset authored and provided by
    GapMaps
    Area covered
    United States of America, Saudi Arabia, Taiwan, Kenya, Thailand, Philippines, United Arab Emirates, Nigeria, Malaysia, Egypt
    Description

    GapMaps Live is an easy-to-use location intelligence platform available across 25 countries globally that allows you to visualise your own store data, combined with the latest demographic, economic and population movement intel right down to the micro level so you can make faster, smarter and surer decisions when planning your network growth strategy.

    With one single login, you can access the latest estimates on resident and worker populations, census metrics (eg. age, income, ethnicity), consuming class, retail spend insights and point-of-interest data across a range of categories including fast food, cafe, fitness, supermarket/grocery and more.

    Some of the world's biggest brands including McDonalds, Subway, Burger King, Anytime Fitness and Dominos use GapMaps Live as a vital strategic tool where business success relies on up-to-date, easy to understand, location intel that can power business case validation and drive rapid decision making.

    Primary Use Cases for GapMaps Live includes:

    1. Retail Site Selection - Identify optimal locations for future expansion and benchmark performance across existing locations.
    2. Customer Profiling: get a detailed understanding of the demographic profile of your customers and where to find more of them.
    3. Analyse your catchment areas at a granular grid levels using all the key metrics
    4. Target Marketing: Develop effective marketing strategies to acquire more customers.
    5. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)
    6. Customer Profiling
    7. Target Marketing
    8. Market Share Analysis

    Some of features our clients love about GapMaps Live include: - View business locations, competitor locations, demographic, economic and social data around your business or selected location - Understand consumer visitation patterns (“where from” and “where to”), frequency of visits, dwell time of visits, profiles of consumers and much more. - Save searched locations and drop pins - Turn on/off all location listings by category - View and filter data by metadata tags, for example hours of operation, contact details, services provided - Combine public data in GapMaps with views of private data Layers - View data in layers to understand impact of different data Sources - Share maps with teams - Generate demographic reports and comparative analyses on different locations based on drive time, walk time or radius. - Access multiple countries and brands with a single logon - Access multiple brands under a parent login - Capture field data such as photos, notes and documents using GapMaps Connect and integrate with GapMaps Live to get detailed insights on existing and proposed store locations.

  13. u

    UBC Farm Base Field Maps

    • open.library.ubc.ca
    • borealisdata.ca
    Updated Feb 24, 2020
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    Centre for Sustainable Food Systems at UBC Farm (2020). UBC Farm Base Field Maps [Dataset]. http://doi.org/10.14288/1.0388690
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    Dataset updated
    Feb 24, 2020
    Authors
    Centre for Sustainable Food Systems at UBC Farm
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Time period covered
    Feb 24, 2020
    Area covered
    British Columbia, UBC Farm, Vancouver
    Description

    This dataset contains PDFs of UBC Farm annual field maps since 2015, including relative field locations and sizes, field codes, crop rotation groups, and infrastructure types. Please note that these maps are used for field planning purposes only, and the actual crops grown in fields may differ from the rotation groups provided here. The best uses of these maps are: 1) to determine locations of field codes in other UBC Farm datasets; 2) to look up field codes for UBC Farm research projects, and 3) to understand the general layout of the Farm.

  14. W

    Data from: LP MOON MAG LEVEL 5 SURFACE MAGNETIC FIELD MAPS V1.0

    • cloud.csiss.gmu.edu
    • data.nasa.gov
    • +2more
    Updated Jan 29, 2020
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    United States (2020). LP MOON MAG LEVEL 5 SURFACE MAGNETIC FIELD MAPS V1.0 [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/lp-moon-mag-level-5-surface-magnetic-field-maps-v1-0
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    Dataset updated
    Jan 29, 2020
    Dataset provided by
    United States
    Description

    not applicable

  15. Knoxville TN Urban Renewal Mapping Data

    • figshare.com
    zip
    Updated Feb 16, 2024
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    Chris DeRolph (2024). Knoxville TN Urban Renewal Mapping Data [Dataset]. http://doi.org/10.6084/m9.figshare.25199849.v3
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    zipAvailable download formats
    Dataset updated
    Feb 16, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Chris DeRolph
    License

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

    Area covered
    Knoxville
    Description

    This dataset contains files created, digitized, or georeferenced by Chris DeRolph for mapping the pre-urban renewal community within the boundaries of the Riverfront-Willow St. and Mountain View urban renewal projects in Knoxville TN. Detailed occupant information for properties within boundaries of these two urban renewal projects was extracted from the 1953 Knoxville City Directory. The year 1953 was chosen as a representative snapshot of the Black community before urban renewal projects were implemented. The first urban renewal project to be approved was the Riverfront-Willow Street project, which was approved in 1954 according to the University of Richmond Renewing Inequality project titled ‘Family Displacements through Urban Renewal, 1950-1966’ (link below in the 'Other shapefiles' section). For ArcGIS Online users, the shapefile and tiff layers are available in AGOL and can be found by clicking the ellipsis next to the layer name and selecting 'Show item details' for the layers in this webmap https://knoxatlas.maps.arcgis.com/apps/webappviewer/index.html?id=43a66c3cfcde4f5f8e7ab13af9bbcebecityDirectory1953 is a folder that contains:JPG images of 1953 City Directory for street segments within the urban renewal project boundaries; images collected at the McClung Historical CollectionTXT files of extracted text from each image that was used to join occupant information from directory to GIS address datashp is a folder that contains the following shapefiles:Residential:Black_owned_residential_1953.shp: residential entries in the 1953 City Directory identified as Black and property ownersBlack_rented_residential_1953.shp: residential entries in the 1953 City Directory identified as Black and non-owners of the propertyNon_Black_owned_residential_1953.shp: residential entries in the 1953 City Directory identified as property owners that were not listed as BlackNon_Black_rented_residential_1953.shp: residential entries in the 1953 City Directory not listed as Black or property ownersResidential shapefile attributes:cityDrctryString: full text string from 1953 City Directory entryfileName: name of TXT file that contains the information for the street segmentsOccupant: the name of the occupant listed in the City Directory, enclosed in square brackets []Number: the address number listed in the 1953 City DirectoryBlackOccpt: flag for whether the occupant was identified in the City Directory as Black, designated by the (c) or (e) character string in the cityDrctryString fieldOwnerOccpd: flag for whether the occupant was identified in the City Directory as the property owner, designated by the @ character in the cityDrctryString fieldUnit: unit if listed (e.g. Apt 1, 2d fl, b'ment, etc)streetName: street name in ~1953Lat: latitude coordinate in decimal degrees for the property locationLon: longitude coordinate in decimal degrees for the property locationrace_own: combines the BlackOccpt and OwnerOccpd fieldsmapLabel: combines the Number and Occupant fields for map labeling purposeslastName: occupant's last namelabelShort: combines the Number and lastName fields for map labeling purposesNon-residential:Black_nonResidential_1953.shp: non-residential entries in the 1953 City Directory listed as Black-occupiedNonBlack_nonResidential_1953.shp: non-residential entries in the 1953 City Directory not listed as Black-occupiedNon-residential shapefile attributes:cityDrctryString: full text string from 1953 City Directory entryfileName: name of TXT file that contains the information for the street segmentsOccupant: the name of the occupant listed in the City Directory, enclosed in square brackets []Number: the address number listed in the 1953 City DirectoryBlackOccpt: flag for whether the occupant was identified in the City Directory as Black, designated by the (c) or (e) character string in the cityDrctryString fieldOwnerOccpd: flag for whether the occupant was identified in the City Directory as the property owner, designated by the @ character in the cityDrctryString fieldUnit: unit if listed (e.g. Apt 1, 2d fl, b'ment, etc)streetName: street name in ~1953Lat: latitude coordinate in decimal degrees for the property locationLon: longitude coordinate in decimal degrees for the property locationNAICS6: 2022 North American Industry Classification System (NAICS) six-digit business code, designated by Chris DeRolph rapidly and without careful considerationNAICS6title: NAICS6 title/short descriptionNAICS3: 2022 North American Industry Classification System (NAICS) three-digit business code, designated by Chris DeRolph rapidly and without careful considerationNAICS3title: NAICS3 title/short descriptionflag: flags whether the occupant is part of the public sector or an NGO; a flag of '0' indicates the occupant is assumed to be a privately-owned businessrace_own: combines the BlackOccpt and OwnerOccpd fieldsmapLabel: combines the Number and Occupant fields for map labeling purposesOther shapefiles:razedArea_1972.shp: approximate area that appears to have been razed during urban renewal based on visual overlay of usgsImage_grayscale_1956.tif and usgsImage_colorinfrared_1972.tif; digitized by Chris DeRolphroadNetwork_preUrbanRenewal.shp: road network present in urban renewal area before razing occurred; removed attribute indicates whether road was removed or remains today; historically removed roads were digitized by Chris DeRolph; remaining roads sourced from TDOT GIS roads dataTheBottom.shp: the approximate extent of the razed neighborhood known as The Bottom; digitized by Chris DeRolphUrbanRenewalProjects.shp: boundaries of the East Knoxville urban renewal projects, as mapped by the University of Richmond's Digital Scholarship Lab https://dsl.richmond.edu/panorama/renewal/#view=0/0/1&viz=cartogram&city=knoxvilleTN&loc=15/35.9700/-83.9080tiff is a folder that contains the following images:streetMap_1952.tif: relevant section of 1952 map 'Knoxville Tennessee and Surrounding Area'; copyright by J.U.G. Rich and East Tenn Auto Club; drawn by R.G. Austin; full map accessed at McClung Historical Collection, 601 S Gay St, Knoxville, TN 37902; used as reference for street names in roadNetwork_preUrbanRenewal.shp; georeferenced by Chris DeRolphnewsSentinelRdMap_1958.tif: urban renewal area map from 1958 Knox News Sentinel article; used as reference for street names in roadNetwork_preUrbanRenewal.shp; georeferenced by Chris DeRolphusgsImage_grayscale_1956.tif: May 18, 1956 black-and-white USGS aerial photograph, georeferenced by Chris DeRolph; accessed here https://earthexplorer.usgs.gov/scene/metadata/full/5e83d8e4870f4473/ARA550590030582/usgsImage_colorinfrared_1972.tif: April 18, 1972 color infrared USGS aerial photograph, georeferenced by Chris DeRolph; accessed here https://earthexplorer.usgs.gov/scene/metadata/full/5e83d8e4870f4473/AR6197002600096/usgsImage_grayscale_1976.tif: November 8, 1976 black-and-white USGS aerial photograph, georeferenced by Chris DeRolph; accessed here https://earthexplorer.usgs.gov/scene/metadata/full/5e83d8e4870f4473/AR1VDUT00390010/

  16. C

    Ballarat Gold Field Map 1861

    • data2.cerdi.edu.au
    • data.visualisingballarat.org.au
    csv, geojson, shp +2
    Updated Nov 18, 2020
    + more versions
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    City of Ballarat (2020). Ballarat Gold Field Map 1861 [Dataset]. https://data2.cerdi.edu.au/dataset/hul_featr321_ballarat_goldfield
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    shp, wms, geojson, csv, wfsAvailable download formats
    Dataset updated
    Nov 18, 2020
    Dataset provided by
    City of Ballarat
    Area covered
    Ballarat
    Description

    The map is georeferenced by CeRDI. 1:25000 using a Thin plate spline (TPS) algorithm (more modern georeferencing method, which is able to introduce local deformations in the data. This algorithm is useful when very low quality originals are being georeferenced). More Information: www.access.prov.vic.gov.au Author: City of Ballarat Owner: Department of Environment, Land, Water & Planning"

  17. i

    Data from: Magnetic Field Mapping of a Landmine Field Using a...

    • ieee-dataport.org
    Updated Sep 27, 2024
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    Kaya Kuru (2024). Magnetic Field Mapping of a Landmine Field Using a Magnetometer-integrated Drone and Intelligent Application [Dataset]. https://ieee-dataport.org/documents/magnetic-field-mapping-landmine-field-using-magnetometer-integrated-drone-and-intelligent
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    Dataset updated
    Sep 27, 2024
    Authors
    Kaya Kuru
    License

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

    Description

    In this research

  18. b

    Oil and Gas Fields Of Ohio: Ohio

    • geo.btaa.org
    Updated Nov 8, 2017
    + more versions
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    Ohio Department of Natural Resources (2017). Oil and Gas Fields Of Ohio: Ohio [Dataset]. https://geo.btaa.org/catalog/f2f7deb0efd44007b88355510aa49dfa_0
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    Dataset updated
    Nov 8, 2017
    Authors
    Ohio Department of Natural Resources
    Area covered
    Ohio
    Description

    These maps and database are an update of the Ohio Division of Geological Survey (ODGS) oil and gas fields Digital Chart and Map Series (DCMS 13 through 21), which was completed in 1996. Previous Ohio oil and gas fields maps were also published in 1948, 1953, 1960, 1964, and 1974. The updated maps and database have been created using the GIS-based ESRI/ARCMAP software. All documented oil and gas pools/fields have been digitized as polygons and each polygon is linked to a unique pool/field identification (ID) number and name. Like the previous DCMS oil and gas fields maps, the updated oil and gas pools/fields have been grouped into 8 major plays defined by specific stratigraphic intervals. These are the 1) Pennsylvanian undifferentiated sandstones and coals, 2) Mississippian undifferentiated sandstones (excluding the Berea and Cussewago Sandstone) and Maxville Limestone, 3) Mississippian Berea and Cussewago sandstones), 4) Upper Devonian Ohio Shale and siltstones, 5) Silurian/Devonian Big Lime interval (Onondaga Limestone, Oriskany Sandstone, Bass Islands Dolomite, Salina Group, and Lockport Dolomite), 6) Silurian Cataract/ Medina sandstone (Clinton/Medina) and Dayton Formation (Packer Shell), 7) Middle Ordovician fractured shale, Trenton Limestone and Black River Group and Wells Creek Formation, and 8) Cambrian-Ordovician Knox Dolomite (Beekmantown dolomite, Rose Run sandstone, Copper Ridge dolomite, B-zone, and Krysik sandstone). All oil and gas pool/field ID's are defined and grouped by play and not geographic boundary, since most of the producing oil and gas reservoirs in Ohio occur within stratigraphic traps. This is a departure from the method used in the 1974 map in which oil and gas fields were assigned geographically, and not by producing horizon. Thus on the 1974 map, one field could contain multiple, stacked, partially overlapping, producing horizons from the Cambrian to the Pennsylvanian. Since the 1974 map was produced, over 58,000 additional wells have been drilled and completed in multiple, stacked producing horizons, mostly in unique stratigraphic traps. This has made it too cumbersome to assign all producing horizons to the same pool/field ID within any given geographic area. Assignment of pool/field ID's by play or stratigraphic interval provides a better geologic method of displaying and defining these pools/fields that are dominantly stratigraphic traps. With this method of outlining polygons for producing horizons, a pool is defined as a single polygon that produces from horizons within one play. When more than one polygon is assigned the same ID within the same play, these polygons are defined as a field. Pool/field production types are displayed as gas (red), oil (green), or storage (orange). In most cases, the assignment of production type was determined from the 1974 Ohio oil and gas field map. For updates to the 1974 map, the production type (excluding the Knox Dolomite play) was determined by the dominance of oil or gas symbol as displayed on the township well spot maps. In many cases a subjective decision was made, since many of the wells are displayed as combination oil and gas. With the Knox Dolomite play, the production type was based on gas-to-oil ratio (GOR) using data from the ODGS production database POGO (Production of Oil and Gas in Ohio). Oil production is shown for pools/fields with a GOR less than 5,000, and gas for fields with a GOR greater than 5,000. Calculations are based on cumulative production since 1984. This method of using GOR was not possible for the other, older historical plays because of insufficient production data. Whenever possible, existing outlines from the 1996 digital oil and gas fields maps were used. Exceptions to this are in areas where the 1996-pool/field boundaries were modified or new pool/field boundaries were created from additional drilling. Pool/field boundaries were digitized based upon documented wells from the ODGS township well spot maps, and in some areas from the Ohio Fuel Gas (OFG) well spot maps. The OFG maps were used primarily for the Pennsylvanian and Mississippian plays because many of these older wells are not located on the ODGS township well spot maps. In some areas, digitized pools/fields from the 1996 version were deleted if the oil and gas township and/or the OFG maps or well cards could not verify them. A minimum of 3 producing wells within a 1-mile distance was required to draw a pool/field outline. Storage field outlines are approximate and are based primarily on the 1974 map. In drawing new polygons for pool/field boundaries, a buffer of 1/2 mile was made around each producing well, and boundaries were drawn using these buffers. In assigning pool/field ID's, the historical numbers and names from the 1974 map were maintained whenever possible. Pools/fields may be consolidated into a larger consolidated field only if they occur within the same play. When two or more pools/fields are consolidated, they were assigned a new field ID. The name of the consolidated field was taken from the oldest pool/field within the consolidated field. There may be exceptions to this if the name is firmly entrenched in literature (i.e., Canton Consolidated, East Canton Consolidated, etc.). In a given geographic area of multiple producing horizons, the same ID was maintained for the dominant producing horizon. The less dominant producing horizons in other plays for this geographic area were assigned new pool/field ID's. Every pool/field with an assigned number has also been assigned a unique name. If it is a new pool/field ID that was not on the 1974 map, a new name was assigned using the nearest place name (i.e., town, village, city, etc.) or a named geographic feature (i.e., stream, river, ridge, etc.) from a topographic map.

  19. n

    Geomorphological units from field mapping, Irizar - Crater Lake Area,...

    • portal-intaros.nersc.no
    • apgc.awi.de
    Updated Sep 16, 2020
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    (2020). Geomorphological units from field mapping, Irizar - Crater Lake Area, Deception Island, Antarctica [Dataset]. https://portal-intaros.nersc.no/dataset/csp-gmp-icl
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    Dataset updated
    Sep 16, 2020
    License

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

    Area covered
    Deception Island, Antarctica, Antarctica, Crater Lake
    Description

    The map describes the main geomorphological features according to surface cover type on Irizar - Crater Lake Area, Deception Island, Antarctica. The map was developed to support the analysis of the backscattering signal in SAR imagery and the interpretation of Din SAR products. Geomorphological units were mapped in the field during several summer seasons since 2011 based on a topographical map with a scale of 1:25,000. A QuickBird scene was used to improve the delineation of the geomorphological units. Detailed information about the geomorphological units can be found in the product guide.

  20. Data from: Modeling short visual events through the BOLD Moments video fMRI...

    • openneuro.org
    Updated Jul 21, 2024
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    Benjamin Lahner; Kshitij Dwivedi; Polina Iamshchinina; Monika Graumann; Alex Lascelles; Gemma Roig; Alessandro Thomas Gifford; Bowen Pan; SouYoung Jin; N.Apurva Ratan Murty; Kendrick Kay; Radoslaw Cichy*; Aude Oliva* (2024). Modeling short visual events through the BOLD Moments video fMRI dataset and metadata. [Dataset]. http://doi.org/10.18112/openneuro.ds005165.v1.0.4
    Explore at:
    Dataset updated
    Jul 21, 2024
    Dataset provided by
    OpenNeurohttps://openneuro.org/
    Authors
    Benjamin Lahner; Kshitij Dwivedi; Polina Iamshchinina; Monika Graumann; Alex Lascelles; Gemma Roig; Alessandro Thomas Gifford; Bowen Pan; SouYoung Jin; N.Apurva Ratan Murty; Kendrick Kay; Radoslaw Cichy*; Aude Oliva*
    License

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

    Description

    This is the data repository for the BOLD Moments Dataset. This dataset contains brain responses to 1,102 3-second videos across 10 subjects. Each subject saw the 1,000 video training set 3 times and the 102 video testing set 10 times. Each video is additionally human-annotated with 15 object labels, 5 scene labels, 5 action labels, 5 sentence text descriptions, 1 spoken transcription, 1 memorability score, and 1 memorability decay rate.

    Overview of contents:

    The home folder (everything except the derivatives/ folder) contains the raw data in BIDS format before any preprocessing. Download this folder if you want to run your own preprocessing pipeline (e.g., fMRIPrep, HCP pipeline).

    To comply with licensing requirements, the stimulus set is not available here on OpenNeuro (hence the invalid BIDS validation). See the GitHub repository (https://github.com/blahner/BOLDMomentsDataset) to download the stimulus set and stimulus set derivatives (like frames). To make this dataset perfectly BIDS compliant for use with other BIDS-apps, you may need to copy the 'stimuli' folder from the downloaded stimulus set into the parent directory.

    The derivatives folder contains all data derivatives, including the stimulus annotations (./derivatives/stimuli_metadata/annotations.json), model weight checkpoints for a TSM ResNet50 model trained on a subset of Multi-Moments in Time, and prepared beta estimates from two different fMRIPrep preprocessing pipelines (./derivatives/versionA and ./derivatives/versionB).

    VersionA was used in the main manuscript, and versionB is detailed in the manuscript's supplementary. If you are starting a new project, we highly recommend you use the prepared data in ./derivatives/versionB/ because of its better registration, use of GLMsingle, and availability in more standard/non-standard output spaces. Code used in the manuscript is located at the derivatives version level. For example, the code used in the main manuscript is located under ./derivatives/versionA/scripts. Note that versionA prepared data is very large due to beta estimates for 9 TRs per video. See this GitHub repo for starter code demonstrating basic usage and dataset download scripts: https://github.com/blahner/BOLDMomentsDataset. See this GitHub repo for the TSM ResNet50 model training and inference code: https://github.com/pbw-Berwin/M4-pretrained

    Data collection notes: All data collection notes explained below are detailed here for the purpose of full transparency and should be of no concern to researchers using the data i.e. these inconsistencies have been attended to and integrated into the BIDS format as if these exceptions did not occur. The correct pairings between field maps and functional runs are detailed in the .json sidecars accompanying each field map scan.

    Subject 2: Session 1: Subject repositioned head for comfort after the third resting state scan, approximately 1 hour into the session. New scout and field map scans were taken. In the case of applying a susceptibility distortion correction analysis, session 1 therefore has two sets of field maps, denoted by “run-1” and “run-2” in the filename. The “IntendedFor” field in the field map’s identically named .json sidecar file specifies which functional scans correspond to which field map.

    Session 4: Completed over two separate days due to subject feeling sleepy. All 3 testing runs and 6/10 training runs were completed on the first day, and the last 4 training runs were completed on the second day. Each of the two days for session 4 had its own field map. This did not interfere with session 5. All scans across both days belonging to session 4 were analyzed as if they were collected on the same day. In the case of applying a susceptibility distortion correction analysis, session 4 therefore has two sets of field maps, denoted by “run-1” and “run-2” in the filename. The “IntendedFor” field in the field map’s identically named .json sidecar file specifies which functional scans correspond to which field map.

    Subject 4: Sessions 1 and 2: The fifth (out of 5) localizer run from session 1 was completed at the end of session 2 due to a technical error. This localizer run therefore used the field map from session 2. In the case of applying a susceptibility distortion correction analysis, session 1 therefore has two sets of field maps, denoted by “run-1” and “run-2” in the filename. The “IntendedFor” field in the field map’s identically named .json sidecar file specifies which functional scans correspond to which field map.

    Subject 10: Session 5: Subject moved a lot to readjust earplug after the third functional run (1 test and 2 training runs completed). New field map scans were collected. In the case of applying a susceptibility distortion correction analysis, session 5 therefore has two sets of field maps, denoted by “run-1” and “run-2” in the filename. The “IntendedFor” field in the field map’s identically named .json sidecar file specifies which functional scans correspond to which field map.

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Bureau of Land Management (2025). BLM Natl Kansas MMPK [Dataset]. https://catalog.data.gov/dataset/blm-natl-kansas-mmpk
Organization logo

BLM Natl Kansas MMPK

Explore at:
Dataset updated
May 8, 2025
Dataset provided by
Bureau of Land Managementhttp://www.blm.gov/
Area covered
Kansas
Description

Mobile Map Packages (MMPK’s) can be used in the ESRI Field Maps app (no login required), either by direct download in the Field Maps app or by sideloading from your PC. They can also be used in desktop applications that support MMPK’s such as ArcGIS Pro, and ArcGIS Navigator. MMPK’s will expire quarterly and have a warning for the user at that time but will still function afterwards. They are updated quarterly to ensure you have the most up to date data possible. These mobile map packages include the following national datasets along with others: Surface Management Agency, Public Land Survey System (PLSS), BLM Recreation Sites, National Conservation Lands, ESRI’s Navigation Basemap and Vector Tile Package. Last updated 20250321. Contact jlzimmer@blm.gov with any questions.

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