82 datasets found
  1. Global Border Crossing Points

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    png, wfs, wms
    Updated Dec 5, 2020
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    World Food Program (2020). Global Border Crossing Points [Dataset]. https://data.amerigeoss.org/dataset/global-border-crossing-points1
    Explore at:
    wms, wfs, pngAvailable download formats
    Dataset updated
    Dec 5, 2020
    Dataset provided by
    World Food Programmehttp://da.wfp.org/
    Description

    This layer contains data about Global Border Crossing Points used for humanitarian operations. It provides information related to the current status of the crossing point (open/closed/unknown), WFP usage of the point, related RB etc. The layer is updated as deemed necessary.

  2. Afghanistan - Border Monitoring, Unofficial Crossing Points - 2023

    • data.humdata.org
    • data.amerigeoss.org
    pdf, web app
    Updated Aug 3, 2025
    + more versions
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    UNHCR - The UN Refugee Agency (2025). Afghanistan - Border Monitoring, Unofficial Crossing Points - 2023 [Dataset]. https://data.humdata.org/dataset/unhcr-afg-2023-ubc-anon-data-v2-1
    Explore at:
    pdf, web appAvailable download formats
    Dataset updated
    Aug 3, 2025
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Area covered
    Afghanistan
    Description

    The situation inside Afghanistan deteriorated in 2021 and had significant consequences for the most vulnerable among the population. Iran and Pakistan, which are neighbours of Afghanistan, also host some 8.2 million registered Afghan refugees and other Afghans with different statuses. The majority of registered refugees fled Afghanistan over the years, including from as early as 1979.

    UNHCR has expanded its border monitoring in Afghanistan to include unofficial crossing points to understand flows and frequency on Afghans departing via these points, assess to territory and “the right to seek asylum” as well as the barriers which hinder the movement of people who may need international protection. Interviews at unofficial crossing points were held with key informants such as local residents in border areas, drivers, hotel and restaurant owners or border officials in over 50 locations, through Kunduz, Jalalabad, Herat, Gardez, Mazar and Kandahar field locations. Key informants gave estimates of weekly flows and their composition. This monitoring activity found that the majority of movements to Iran (81%) happen via unofficial border crossings, while less than 18% of movements to Pakistan happen via unofficial border crossings.

    This dataset is the anonymized version of the original data.

  3. UNHCR Border Crossing Points

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Nov 6, 2022
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    UNHCR (2022). UNHCR Border Crossing Points [Dataset]. https://koordinates.com/layer/110884-unhcr-border-crossing-points/
    Explore at:
    csv, mapinfo tab, pdf, dwg, shapefile, geodatabase, mapinfo mif, geopackage / sqlite, kmlAvailable download formats
    Dataset updated
    Nov 6, 2022
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Authors
    UNHCR
    Area covered
    Description

    Country border crossing points. The boundaries and names included in this web service do not imply official endorsement or acceptance by the United Nations.

  4. Global Border Crossing Points (WFP SDI-T Logistics Database)

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    • +1more
    geojson, shp, txt
    Updated Oct 12, 2021
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    UN Humanitarian Data Exchange (2021). Global Border Crossing Points (WFP SDI-T Logistics Database) [Dataset]. https://data.amerigeoss.org/dataset/global-border-crossing-points
    Explore at:
    geojson, shp, txt(3598)Available download formats
    Dataset updated
    Oct 12, 2021
    Dataset provided by
    United Nationshttp://un.org/
    United Nations Office for the Coordination of Humanitarian Affairshttp://www.unocha.org/
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Description

    This layer contains information about Global Border Crossing Points used for humanitarian operations.

  5. Border Crossing Points

    • onemap.un.org
    Updated Jul 21, 2021
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    hqmap_unhcr (2021). Border Crossing Points [Dataset]. https://onemap.un.org/items/3d00a76764c64d358670fda76fe9b33d
    Explore at:
    Dataset updated
    Jul 21, 2021
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Authors
    hqmap_unhcr
    Area covered
    Description

    Global Border Crossing Points

  6. Border Monitoring, Unofficial Crossing Points 2022 - Afghanistan

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    • +2more
    Updated Mar 6, 2024
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    UN Refugee Agency (UNHCR) (2024). Border Monitoring, Unofficial Crossing Points 2022 - Afghanistan [Dataset]. https://datacatalog.ihsn.org/catalog/11980
    Explore at:
    Dataset updated
    Mar 6, 2024
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Authors
    UN Refugee Agency (UNHCR)
    Time period covered
    2022
    Area covered
    Afghanistan
    Description

    Abstract

    The situation inside Afghanistan deteriorated in 2021 and had significant consequences for the most vulnerable among the population. Iran and Pakistan, which are neighbours of Afghanistan, also host some 8.2 million registered Afghan refugees and other Afghans with different statuses. The majority of registered refugees fled Afghanistan over the years, including from as early as 1979.

    UNHCR has expanded its border monitoring in Afghanistan to include unofficial crossing points to understand flows and frequency on Afghans departing via these points, assess to territory and “the right to seek asylum” as well as the barriers which hinder the movement of people who may need international protection. Interviews at unofficial crossing points were held with key informants such as local residents in border areas, drivers, hotel and restaurant owners or border officials in over 50 locations, through Kunduz, Jalalabad, Herat, Gardez, Mazar and Kandahar field locations. Key informants gave estimates of weekly flows and their composition. This monitoring activity found that the majority of movements to Iran (84%) happen via unofficial border crossings, while less than 1% of movements to Pakistan happen via unofficial border crossings.

    This dataset is the anonymized version of the original data.

    Geographic coverage

    Border crossing points from Afghanistan into Iran, Pakistan and Central Asia

    Analysis unit

    Households

    Universe

    Asylum-seekers and other border crossers in 2022

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Not Applicable

    Mode of data collection

    Face-to-face [f2f]

  7. A

    Kenya Border Crossing Points

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    google sheet
    Updated Feb 12, 2025
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    UN Humanitarian Data Exchange (2025). Kenya Border Crossing Points [Dataset]. https://data.amerigeoss.org/es/dataset/kenya-border-crossing-points
    Explore at:
    google sheetAvailable download formats
    Dataset updated
    Feb 12, 2025
    Dataset provided by
    UN Humanitarian Data Exchange
    License

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

    Area covered
    Kenya
    Description

    This data is about border crossing points in Kenya by road, air and water. It contains information on both official (formal) and informal border crossing points. A formal border crossing point is where there is an immigration office. Mostly the data is from Directorate of immigration and registration of persons.

  8. H

    Ukraine: Entry/Exit Crossing Points

    • data.humdata.org
    shp, xlsx
    Updated Oct 18, 2023
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    OCHA Ukraine (2023). Ukraine: Entry/Exit Crossing Points [Dataset]. https://data.humdata.org/dataset/ukraine-entry-exit-crossing-points
    Explore at:
    xlsx(12373), shp(3398)Available download formats
    Dataset updated
    Oct 18, 2023
    Dataset provided by
    OCHA Ukraine
    License

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

    Area covered
    Ukraine
    Description

    The dataset contains entry/exit crossing points along the "contact line" dividing Government-controlled area (GCA) and non-Government-controlled area (NGCA) with coordinates and operational status (operational, non-operational, partially operational, planned). Source: State Border Guard Service of Ukraine, https://dpsu.gov.ua/ua/perelik-kpvv/.

  9. H

    Sudan: Border Crossing Points

    • data.humdata.org
    • data.amerigeoss.org
    shp
    Updated Apr 9, 2025
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    OCHA Sudan (2025). Sudan: Border Crossing Points [Dataset]. https://data.humdata.org/dataset/c676e33e-36e6-43ef-9b75-b49a6a99f283?force_layout=desktop
    Explore at:
    shp(4914)Available download formats
    Dataset updated
    Apr 9, 2025
    Dataset provided by
    OCHA Sudan
    License

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

    Area covered
    Sudan
    Description

    Shape file for Sudan Border crossing points

  10. e

    List of State Border Crossing Points of the Republic of Moldova

    • data.europa.eu
    excel xlsx
    Updated Feb 28, 2022
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    (2022). List of State Border Crossing Points of the Republic of Moldova [Dataset]. https://data.europa.eu/data/datasets/4655-lista-punctelor-de-trecere-a-frontierei-de-stat-a-republicii-moldova
    Explore at:
    excel xlsxAvailable download formats
    Dataset updated
    Feb 28, 2022
    Area covered
    Moldova
    Description

    List of border crossing points in operation, indicating the name of the crossing point, status, type, working regime and contact phone.

    Additional information: Classification of border crossing points

    State Border Crossing Rules

    Crossing the Moldovan-Ukraine State Border

    Crossing the Moldo-Roman State Border

  11. g

    TEN Underground Crossing Points (as of 10 June 2024) | gimi9.com

    • gimi9.com
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    TEN Underground Crossing Points (as of 10 June 2024) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_https-odre-opendatasoft-com-explore-dataset-points-de-passage-souterrains-rte-
    Explore at:
    Description

    This file presents, as of 10 June 2024, for Metropolitan France, all the crossing points belonging to the underground lines of the public electricity transmission network managed by RTE. An underground crossing point represents a ‘power junction’ (e.g.: junction between two cables). In addition to this dataset, for access to our mobility infrastructure data, you will find the open data map on our ArcGis Online system accessible on PC here or on the move by opening the map in ArcGIS Field Maps: INSPIRE TEN Network. This dataset is shared within the framework of Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE). The INSPIRE Directive applies to digital spatial data held by public authorities and requires data to be made available in accordance with harmonised technical specifications. For further information on the INSPIRE Directive, write to: rte-inspire-infos@rte-france.com. The number of crossing points has been significantly reduced thanks to an evolution of the data model. The publication of this dataset does not exonerate the user from his regulatory obligation under the anti-damage decree (DT/DICT) in case of works. * * *

  12. g

    New crossing points (WMS service)

    • gimi9.com
    + more versions
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    New crossing points (WMS service) [Dataset]. https://gimi9.com/dataset/eu_8cecc5fa-eaf9-43ea-b6b1-6800ab1dc64d/
    Explore at:
    License

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

    Description

    The foot traffic strategy of the state capital Dresden (V1338/21) was adopted by the city council on 25 June 2022. The aim of this strategy is to promote foot traffic and increase its importance through high-quality foot traffic facilities and attractively designed public spaces, as well as to increase road safety for road users on foot. It includes, among other things, the technical concept for the establishment of new crossing points. Crossing points are intended to make crossing roads safer and easier. Depending on local conditions, possible crossing aids can be central islands, pedestrian crossings or light signalling systems (traffic lights). The measures of the concept are assigned to one of four priorities. In line with their prioritisation, the measures under Priority 1 to 3 are to be implemented gradually. Priority 4 measures were identified in the participatory process, but the city administration currently sees no need for action. Measures of the concept that have already been implemented are also presented.

  13. d

    Data from: Modelling amphibian road crossing points in a dynamic environment...

    • search.dataone.org
    • datadryad.org
    Updated Apr 2, 2025
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    Martino Flego; Marco Mangiacotti; Alan Jioele Coladonato; Lara Scali; Andrea Pozzoli; Stefano Scali; Roberto Sacchi (2025). Modelling amphibian road crossing points in a dynamic environment [Dataset]. http://doi.org/10.5061/dryad.cz8w9gjg2
    Explore at:
    Dataset updated
    Apr 2, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Martino Flego; Marco Mangiacotti; Alan Jioele Coladonato; Lara Scali; Andrea Pozzoli; Stefano Scali; Roberto Sacchi
    Description

    Roads are ubiquitous infrastructures that have detrimental effects on wildlife and contribute to increased mortality and fragmentation of animal populations. Although several mitigation measures are available to reduce road impacts, their planning rarely considers the dynamic nature of the environment, which may reflect into temporal variation in habitat suitability and connectivity for animal species. Consequently, the effectiveness of such measures may fall short of expectations. By combining high-resolution satellite imagery and connectivity modelling, we propose a generalizable approach to identify the most probable crossing points across a barrier at different time snapshots. This information may be pivotal in planning mitigation measures that can take into account dynamic components. We collected occurrence data of three farmland-adapted anurans and high spatiotemporal definition Sentinel-2 multispectral images to build habitat suitability models that capture the relationship betw..., , # Modelling amphibian road crossing points in a dynamic environment

    Dataset DOI: 10.5061/dryad.cz8w9gjg2

    Description of the data and file structure

    Reported data were the basis for Habitat Suitability Modelling and subsequent Connectivity Models.

    Data includes the occurrence data of the three amphibian target species (Hyla intermedia, Pelophylax synkl. esculentus, Bufotes viridis), collected in 2021 and 2022. The values of the Sentinel-2 spectral bands we used as predictors are Copernicus Sentinel data [2025] and can be downloaded from the Copernicus Browser (https://browser.dataspace.copernicus.eu/).

    Files and variables

    File: occurencedata.csv

    Description:Â

    Occurrence points of the three target species. Observations missing important information have already been removed from this dataset. Here you can find the data we used for all the modelling steps. They are the occurrence data of ...,

  14. g

    Pedestrian crossing points | gimi9.com

    • gimi9.com
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    Pedestrian crossing points | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_pedestrian-crossing-points
    Explore at:
    Description

    🇬🇧 영국

  15. W

    Public Road Border Crossings ROI

    • cloud.csiss.gmu.edu
    • datasalsa.com
    shp / zip
    Updated Jun 20, 2019
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    Ireland (2019). Public Road Border Crossings ROI [Dataset]. http://cloud.csiss.gmu.edu/dataset/7e56c086-d95b-4b0e-a87a-27f4ca079eb3
    Explore at:
    shp / zipAvailable download formats
    Dataset updated
    Jun 20, 2019
    Dataset provided by
    Ireland
    License

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

    Description

    An exercise was undertaken by Department of Transport, Tourism and Sport, in collaboration with Department for Infrastructure, Northern Ireland, to map the border crossings on the public road network between the Republic of Ireland and Northern Ireland. The Zip File contains two datasets;

    1. ROI Border Crossing Points and
    2. ROI Border Crossing Lines.

    The datasets must be read in tandem for a complete picture of border crossings on the public road network.

  16. e

    Pedestrian crossing points

    • data.europa.eu
    csv, json
    Updated Jan 22, 2020
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    Leeds City Council (2020). Pedestrian crossing points [Dataset]. https://data.europa.eu/data/datasets/pedestrian-crossing-points/embed
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 22, 2020
    Dataset authored and provided by
    Leeds City Council
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    A dataset to show the traffic light crossing points in Leeds giving road name, postcode, easting and northing. The data consists of

    • road junctions which contain signalled crossing points.
    • signalled crossings which can consist of pedestrian crossings including Pelicans, Puffins, Toucans and One-can crossings

    Additional Information

  17. NZ Rr Crossing Points (Topo, 1:250k)

    • data.linz.govt.nz
    • geodata.nz
    csv, dwg, geodatabase +6
    Updated Apr 27, 2025
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    Land Information New Zealand (2025). NZ Rr Crossing Points (Topo, 1:250k) [Dataset]. https://data.linz.govt.nz/layer/50187-nz-rr-crossing-points-topo-1250k/
    Explore at:
    mapinfo mif, kml, geodatabase, dwg, geopackage / sqlite, csv, pdf, shapefile, mapinfo tabAvailable download formats
    Dataset updated
    Apr 27, 2025
    Dataset authored and provided by
    Land Information New Zealandhttps://www.linz.govt.nz/
    License

    https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/

    Area covered
    Description

    Road/rail crossing. A point used at 1:250,000 scale where roads and railways intersect; this may take the form of a level crossing, or a bridge may separate the two.

    Data Dictionary for rr_crossing_pnt: https://docs.topo.linz.govt.nz/data-dictionary/tdd-class-rr_crossing_pnt.html

    This layer is a component of the Topo250 map series. The Topo250 map series provides topographic mapping for the New Zealand mainland and Chatham Islands, at 1:250,000 scale.

    Further information on Topo250: http://www.linz.govt.nz/topography/topo-maps/topo250

  18. H

    State of Palestine - Crossing Points

    • data.humdata.org
    • data.amerigeoss.org
    shp
    Updated Feb 25, 2025
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    OCHA occupied Palestinian territory (oPt) (2025). State of Palestine - Crossing Points [Dataset]. https://data.humdata.org/dataset/b8d45c0f-15e6-43ba-af44-e61b3001059e?force_layout=desktop
    Explore at:
    shp(5895)Available download formats
    Dataset updated
    Feb 25, 2025
    Dataset provided by
    OCHA occupied Palestinian territory (oPt)
    Area covered
    Palestine
    Description

    Crossing points into Gaza Strip and from West Bank to Jordan.

  19. C

    DB route network: Level crossings (points)

    • ckan.mobidatalab.eu
    Updated Jun 15, 2021
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    GeoNet.MRN e.V. (2021). DB route network: Level crossings (points) [Dataset]. https://ckan.mobidatalab.eu/dataset/db-route-network-level-crossing-points
    Explore at:
    http://publications.europa.eu/resource/authority/file-type/wfs_srvc, http://publications.europa.eu/resource/authority/file-type/wms_srvcAvailable download formats
    Dataset updated
    Jun 15, 2021
    Dataset provided by
    GeoNet.MRN e.V.
    License

    http://dcat-ap.de/def/licenses/other-openhttp://dcat-ap.de/def/licenses/other-open

    Description

    All level crossings in the Deutsche Bahn network. https://data.deutschebahn.com/dataset/geo-bahnuebergang

  20. Border Crossings - Electricity

    • atlas.eia.gov
    Updated Jun 9, 2020
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    U.S. Energy Information Administration (2020). Border Crossings - Electricity [Dataset]. https://atlas.eia.gov/datasets/border-crossings-electricity
    Explore at:
    Dataset updated
    Jun 9, 2020
    Dataset provided by
    Energy Information Administrationhttp://www.eia.gov/
    Authors
    U.S. Energy Information Administration
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    U.S. border crossing points of electric transmission lines. A crossing point represents one or more electric lines.

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World Food Program (2020). Global Border Crossing Points [Dataset]. https://data.amerigeoss.org/dataset/global-border-crossing-points1
Organization logo

Global Border Crossing Points

Explore at:
wms, wfs, pngAvailable download formats
Dataset updated
Dec 5, 2020
Dataset provided by
World Food Programmehttp://da.wfp.org/
Description

This layer contains data about Global Border Crossing Points used for humanitarian operations. It provides information related to the current status of the crossing point (open/closed/unknown), WFP usage of the point, related RB etc. The layer is updated as deemed necessary.

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