Antarctica

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  • HDX HAPI Data for Antarctica
    HDX
    Time Period of the Dataset [?]: January 01, 2021-December 31, 2024 ... More
    Modified [?]: 14 December 2024
    Dataset Added on HDX [?]: 24 October 2024
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    This dataset updates: Every day
    This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.
  • HDX HAPI - Metadata: Data Availability
    HDX
    100+ Downloads
    Time Period of the Dataset [?]: December 13, 2024-December 13, 2024 ... More
    Modified [?]: 14 December 2024
    Dataset Added on HDX [?]: 24 October 2024
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    This dataset updates: Every day
    This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.
  • HDX HAPI - Coordination & Context: Conflict Events
    HDX
    100+ Downloads
    Time Period of the Dataset [?]: January 01, 1997-December 31, 2024 ... More
    Modified [?]: 14 December 2024
    Dataset Added on HDX [?]: 24 October 2024
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    This dataset updates: Every day
    This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.
  • Antarctica - Conflict Events
    Armed Conflict Location & Event Data Project (ACLED)
    400+ Downloads
    Time Period of the Dataset [?]: January 01, 2021-December 06, 2024 ... More
    Modified [?]: 12 December 2024
    Dataset Added on HDX [?]: 9 February 2022
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    This dataset updates: Every week
    This dataset is part of the data series [?]: ACLED - Conflict Events
    A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Antarctica. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
  • Antarctica Roads (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    10+ Downloads
    Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 19 May 2020
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    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Roads
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['highway'] IS NOT NULL Features may have these attributes: name name:en highway surface smoothness width lanes oneway bridge layer source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Antarctica Buildings (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    10+ Downloads
    Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 19 May 2020
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    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Buildings
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['building'] IS NOT NULL Features may have these attributes: name name:en building building:levels building:materials addr:full addr:housenumber addr:street addr:city office source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Antarctica Railways (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 19 May 2020
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    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Railways
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['railway'] IN ('rail','station') Features may have these attributes: name name:en railway ele operator:type layer addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Antarctica Waterways (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 19 May 2020
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    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Waterways
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['waterway'] IS NOT NULL OR tags['water'] IS NOT NULL OR tags['natural'] IN ('water','wetland','bay') Features may have these attributes: name name:en waterway covered width depth layer blockage tunnel natural water source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Antarctica Financial Services (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 19 May 2020
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    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Financial Services
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office') Features may have these attributes: name name:en amenity operator network addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Antarctica Points of Interest (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 19 May 2020
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    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Points of Interest
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IS NOT NULL OR tags['man_made'] IS NOT NULL OR tags['shop'] IS NOT NULL OR tags['tourism'] IS NOT NULL Features may have these attributes: name name:en amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Antarctica Health Facilities (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 19 May 2020
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    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Health Facilities
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy') Features may have these attributes: name name:en amenity building healthcare healthcare:speciality operator:type capacity:persons addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Antarctica Airports (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    10+ Downloads
    Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 19 May 2020
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    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Airports
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['aeroway'] IS NOT NULL OR tags['building'] = 'aerodrome' OR tags['emergency:helipad'] IS NOT NULL OR tags['emergency'] = 'landing_site' Features may have these attributes: name name:en aeroway building emergency emergency:helipad operator:type capacity:persons addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Antarctica Sea Ports (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    10+ Downloads
    Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 19 May 2020
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    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Sea Ports
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] = 'ferry_terminal' OR tags['building'] = 'ferry_terminal' OR tags['port'] IS NOT NULL Features may have these attributes: name name:en amenity building port operator:type addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Antarctica Education Facilities (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 19 May 2020
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    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Education Facilities
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IN ('kindergarten', 'school', 'college', 'university') OR tags['building'] IN ('kindergarten', 'school', 'college', 'university') Features may have these attributes: name name:en amenity building operator:type capacity:persons addr:full addr:city source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Antarctica Populated Places (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Time Period of the Dataset [?]: December 01, 2024-December 01, 2024 ... More
    Modified [?]: 1 December 2024
    Dataset Added on HDX [?]: 19 May 2020
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    This dataset updates: Every month
    This dataset is part of the data series [?]: HOTOSM - Populated Places
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['place'] IN ('isolated_dwelling', 'town', 'village', 'hamlet', 'city') Features may have these attributes: name name:en place population is_in source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Antarctica: Road Surface Data
    Heidelberg Institute for Geoinformation Technology
    Time Period of the Dataset [?]: November 07, 2024-November 07, 2024 ... More
    Modified [?]: 19 November 2024
    Dataset Added on HDX [?]: 19 November 2024
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    This dataset updates: Every six months
    This dataset provides detailed information on road surfaces from OpenStreetMap (OSM) data, distinguishing between **paved** and **unpaved** surfaces across the region. This information is based on road surface prediction derived from hybrid deep learning approach. For more information on Methods, refer to the [paper](http://arxiv.org/abs/2410.19874) Roughly 0.0 million km of roads are mapped in OSM in this region. Based on AI-mapped estimates the share of paved and unpaved roads is approximately 0.0 and 0.0 (in million kms), corressponding to nan% and nan% respectively of the total road length in the dataset region. 0.0 million km or nan% of road surface information is missing in OSM. In order to fill this gap, Mapillary derived road surface dataset provides an additional 0.0 million km of information (corressponding to nan% of total missing information on road surface) It is intended for use in transportation planning, infrastructure analysis, climate emissions and geographic information system (GIS) applications. This dataset provides comprehensive information on road and urban area features, including location, surface quality, and classification metadata. This dataset includes attributes from OpenStreetMap (OSM) data, AI predictions for road surface, and urban classifications. AI features: pred_class: Model-predicted class for the road surface, with values "paved" or "unpaved." pred_label: Binary label associated with pred_class (0 = paved, 1 = unpaved). osm_surface_class: Classification of the surface type from OSM, categorized as "paved" or "unpaved." combined_surface_osm_priority: Surface classification combining pred_label and surface(OSM) while prioritizing the OSM surface tag, classified as "paved" or "unpaved." combined_surface_DL_priority: Surface classification combining pred_label and surface(OSM) while prioritizing DL prediction pred_label, classified as "paved" or "unpaved." n_of_predictions_used: Number of predictions used for the feature length estimation. predicted_length: Predicted length based on the DL model’s estimations, in meters. DL_mean_timestamp: Mean timestamp of the predictions used, for comparison. OSM features may have these attributes(Learn what tags mean here): name: Name of the feature, if available in OSM. name:en: Name of the feature in English, if available in OSM. name:* (in local language): Name of the feature in the local official language, where available. highway: Road classification based on OSM tags (e.g., residential, motorway, footway). surface: Description of the surface material of the road (e.g., asphalt, gravel, dirt). smoothness: Assessment of surface smoothness (e.g., excellent, good, intermediate, bad). width: Width of the road, where available. lanes: Number of lanes on the road. oneway: Indicates if the road is one-way (yes or no). bridge: Specifies if the feature is a bridge (yes or no). layer: Indicates the layer of the feature in cases where multiple features are stacked (e.g., bridges, tunnels). source: Source of the data, indicating the origin or authority of specific attributes. Urban classification features may have these attributes: continent: The continent where the data point is located (e.g., Europe, Asia). country_iso_a2: The ISO Alpha-2 code representing the country (e.g., "US" for the United States). urban: Binary indicator for urban areas based on the GHSU Urban Layer 2019. (0 = rural, 1 = urban) urban_area: Name of the urban area or city where the data point is located. osm_id: Unique identifier assigned by OpenStreetMap (OSM) to each feature. osm_type: Type of OSM element (e.g., node, way, relation). The data originates from OpenStreetMap (OSM) and is augmented with model predictions using images downloaded from Mapillary in combination with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS2020 urban layer. This dataset is one of many HeiGIT exports on HDX. See the HeiGIT website for more information. We are looking forward to hearing about your use-case! Feel free to reach out to us and tell us about your research at communications@heigit.org – we would be happy to amplify your work.
  • Antarctica - Subnational Administrative Boundaries
    geoBoundaries
    300+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 28 May 2024
    Dataset Added on HDX [?]: 6 January 2022
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    This dataset updates: Live
    This dataset is part of the data series [?]: geoBoundaries - Subnational Administrative Boundaries
    This dataset contains the following administrative boundaries: ADM0. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.
  • Antarctica: WOF Administrative Subdivisions and Human Settlements
    Who's On First
    Time Period of the Dataset [?]: August 18, 2015-September 29, 2023 ... More
    Modified [?]: 12 April 2024
    Dataset Added on HDX [?]: 12 April 2024
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    This dataset updates: Every year
    This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
  • Antarctica - IDMC Event data (Internal Displacement Updates)
    Internal Displacement Monitoring Centre (IDMC)
    40+ Downloads
    Time Period of the Dataset [?]: September 27, 2023-March 25, 2024 ... More
    Modified [?]: 25 March 2024
    Dataset Added on HDX [?]: 14 December 2023
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    This dataset updates: Every day
    This dataset is part of the data series [?]: IDMC - Internal Displacement Updates
    Resource has no data rows! No conflict and disaster population movement (flows) data recorded for Antarctica in the last 180 days. Internally displaced persons are defined according to the 1998 Guiding Principles (https://www.internal-displacement.org/publications/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. The IDMC's Event data, sourced from the Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD), accessible at https://www.internal-displacement.org/database/displacement-data. The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.
  • Antarctica: Population Density for 400m H3 Hexagons
    Kontur
    Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More
    Modified [?]: 31 October 2023
    Dataset Added on HDX [?]: 30 June 2022
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    This dataset updates: As needed
    This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons
    Antarctica population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.
  • Antarctica - Internally displaced persons - IDPs
    Internal Displacement Monitoring Centre (IDMC)
    60+ Downloads
    Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 17 April 2023
    Dataset Added on HDX [?]: 30 May 2022
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    This dataset updates: Every year
    This dataset is part of the data series [?]: IDMC - Internally displaced persons
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.
  • Airports in Antarctica
    OurAirports
    Time Period of the Dataset [?]: January 01, 2008-December 14, 2024 ... More
    Modified [?]: 17 December 2020
    Dataset Added on HDX [?]: 2 June 2014
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    This dataset updates: Live
    This dataset is part of the data series [?]: Our Airports - Airports
    List of airports in Antarctica, with latitude and longitude. Unverified community data from ourairports.com.
  • Current IATI aid activities in Antarctica
    International Aid Transparency Initiative
    Time Period of the Dataset [?]: January 01, 2019-December 14, 2024 ... More
    Modified [?]: 23 August 2020
    Dataset Added on HDX [?]: 14 February 2019
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    This dataset updates: Live
    This dataset is part of the data series [?]: IATI - Current IATI aid activities
    Live list of active aid activities for Antarctica shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from https://d-portal.org Definitions for the geographical-precision codes are available at https://iatistandard.org/en/iati-standard/203/codelists/geographicalprecision/
  • Antarctica - Population Counts
    WorldPop
    10+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 1 November 2018
    Dataset Added on HDX [?]: 27 May 2019
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    This dataset updates: As needed
    This dataset is part of the data series [?]: World Pop - Population Counts
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645