Updated
June 5, 2020
| Dataset date: January 05, 2021-January 05, 2021
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
railway IN ('rail','subway','station')
Features may have these attributes:
operator:type
railway
addr:city
name
addr:full
ele
layer
source
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
December 3, 2020
| Dataset date: October 05, 2017-October 05, 2017
This dataset updates: Every week
This dataset contains distribution tracking data for water, food, NFIs and shelter items in Dominica in the aftermath of Hurricane Irma.
The coordination team in Dominica has been working with partners to make the data as accurate as possible. Please share your distribution to any locations directly to the available dataset created by the team in Dominica or send your information or queries to hurricanemaria2017@undac.org
Updated
Live
| Dataset date: January 01, 2017-December 31, 2020
This dataset updates: Live
Projects proposed, in progress, or completed as part of the annual Antigua and Barbuda Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools
Note that some projects are not publicly listed, due to security or personal-privacy concerns.
Updated
November 27, 2019
| Dataset date: November 27, 2019-November 27, 2019
This dataset updates: As needed
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten', 'school', 'college', 'university','language_school') OR office='educational_institution'
Features may have these attributes: name, amenity, isced:level, capacity
Geometry types: point, polygon
This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
Updated
November 29, 2019
| Dataset date: November 29, 2019-November 29, 2019
This dataset updates: As needed
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten', 'school', 'college', 'university','language_school') OR office='educational_institution'
Features may have these attributes: name, amenity, isced:level, capacity
Geometry types: point, polygon
This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
Updated
September 8, 2017
| Dataset date: September 07, 2017-September 07, 2017
This dataset updates: Never
This dataset illustrates the tropical cyclone IRMA-17 path with low, medium and strong wind impact zones observed and predicted at 7 September 2017. The tropical cyclone path and wind speed zones were derived from Joint Research Centre data (Warning 33 issued the 07 th September 2017 at 09:00 UTC). This is a preliminary analysis and has not yet been validated in the field.
Updated
November 29, 2019
| Dataset date: November 29, 2019-November 29, 2019
This dataset updates: As needed
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten', 'school', 'college', 'university','language_school') OR office='educational_institution'
Features may have these attributes: name, amenity, isced:level, capacity
Geometry types: point, polygon
This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
Updated
November 27, 2019
| Dataset date: November 27, 2019-November 27, 2019
This dataset updates: As needed
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten', 'school', 'college', 'university','language_school') OR office='educational_institution'
Features may have these attributes: name, amenity, isced:level, capacity
Geometry types: point, polygon
This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
Updated
November 27, 2019
| Dataset date: November 27, 2019-November 27, 2019
This dataset updates: As needed
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten', 'school', 'college', 'university','language_school') OR office='educational_institution'
Features may have these attributes: name, amenity, isced:level, capacity
Geometry types: point, polygon
This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
Updated
November 27, 2019
| Dataset date: November 27, 2019-November 27, 2019
This dataset updates: As needed
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten', 'school', 'college', 'university','language_school') OR office='educational_institution'
Features may have these attributes: name, amenity, isced:level, capacity
Geometry types: point, polygon
This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
Updated
November 25, 2019
| Dataset date: November 25, 2019-November 25, 2019
This dataset updates: As needed
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten', 'school', 'college', 'university','language_school') OR office='educational_institution'
Features may have these attributes: name, amenity, isced:level, capacity
Geometry types: point, polygon
This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
Updated
July 4, 2019
| Dataset date: July 04, 2019-July 04, 2019
This dataset updates: As needed
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten', 'school', 'college', 'university','language_school') OR office='educational_institution'
Features may have these attributes: name, amenity, isced:level, capacity
Geometry types: point, polygon
This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
Updated
September 10, 2017
| Dataset date: September 08, 2017-September 08, 2017
This dataset updates: Every day
This dataset illustrates satellite-detected potential damaged buildings in Anguilla Island, following the landfall of Tropical Cyclone IRMA-17 on September 6, 2017. The UNITAR-UNOSAT analysis used a Kompsat-3 satellite image acquired on 9 February 2017 and WorldView-2 image acquired on 5 July 2017 as pre-imagery and Pleiades satellite imagery acquired on the 7 & 8 September 2017 as a post-imagery. The UNITAR-UNOSAT analysis identified 2,147 potentially damaged structures within the analyzed area that was not covered by clouds. According to the pre-building footprints, inside the area free of clouds, provided by Humanitarian Open Street Map, this represents 42% of potentially affected structures in Anguilla.
Updated
September 21, 2017
| Dataset date: September 11, 2017-September 11, 2017
This dataset updates: Every year
Hurricane Irma's gust footprint for 3-sec maximum gusts through to 9UT 7th September 2017.
Hurricane Irma's forecast gust swathe out to 120hrs lead for 3-sec maximum gusts (issued 9UT 7th September).
Hurricane Irma peak 3-sec gust footprints in kml format (through 15UT 11th Sept 2017)
Credit - Tropical Storm Risk/UCL
Updated
December 6, 2017
| Dataset date: December 06, 2017-December 06, 2017
This dataset updates: Every month
Locations for responding NetHope NGO members in Puerto Rico, following Hurricanes Irma and Maria. Represented organizations include: American Red Cross, Americares, DirectRelief, Feeding America, Global Communities, Habitat for Humanity, International Medical Corps, Mercy Corps, Oxfam America, Samaritan's Purse, Save the Children, and World Vision.