Data Datasets [20804] | Archived Datasets[2885] [?]
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  • 300+ Downloads
    Time Period of the Dataset [?]: December 31, 2012-December 31, 2012 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    Built Up Areas in Philipines
  • 500+ Downloads
    Time Period of the Dataset [?]: December 31, 2008-December 31, 2008 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    Location of schools with names , national level.
  • 100+ Downloads
    Time Period of the Dataset [?]: December 31, 2006-December 31, 2006 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    Industrial Zones Shapefile (inluding location ,status and water supply attributes). Downloaded from the Philippine GIS Data Clearing House WGS 1984, Lat/Long
  • 1700+ Downloads
    Time Period of the Dataset [?]: December 31, 2006-December 31, 2006 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    The dataset contains information on Land Cover . WGS 1984, Lat/Long
  • 100+ Downloads
    Time Period of the Dataset [?]: August 21, 2014-August 21, 2014 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    Fundamental Operational Dataset in Child Protection – List of Residential Centres for Children in Kyrgyzstan
  • 100+ Downloads
    Time Period of the Dataset [?]: March 25, 2014-March 25, 2014 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    Health facilities in the Kyrgyz Republic
  • 300+ Downloads
    Time Period of the Dataset [?]: July 25, 2014-July 25, 2014 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    Personnes déplacées internes, retour de population, refugiés et rapatriés en RDC. Chiffres/ lieux de déplacement des presonnes déplacées internes, retournés, réfugiés et rapatriés en RDC.
  • 300+ Downloads
    Time Period of the Dataset [?]: October 05, 2015-October 05, 2015 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    Donées sur la végétation de la RDC
  • 40+ Downloads
    Time Period of the Dataset [?]: January 01, 2004-January 01, 2004 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: OCHA Latin America and the Caribbean - HOTOSM Schools
    Educational Centers
  • 40+ Downloads
    Time Period of the Dataset [?]: January 01, 2001-January 01, 2001 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    Health Centers
  • 40+ Downloads
    Time Period of the Dataset [?]: January 01, 2012-January 01, 2012 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    Vulnerable places (For floods)
  • 50+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-January 01, 2000 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    Vulnerable places (For floods)
  • 30+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-January 01, 2000 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    Vulnerable places (For Earthquakes)
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1899-January 01, 1899 ... More
    Modified [?]: 16 August 2018
    Confirmed [?]: 3 June 2022
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    Transportation Network (Roads)
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 1899-January 01, 1899 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Never
    Hydrological data (rivers and coasts)
  • 400+ Downloads
    Time Period of the Dataset [?]: August 26, 2015-August 26, 2015 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 26 October 2015
    This dataset updates: Never
    Union Council (UC) UC is second level sub admin unit under district. UC Boundary was first created by Population Census Office (PCO) during 2010 Flood. Moza (Admin5) which is sublevel under UC were digitized from scanned maps and added admin attributes. Then these Moza were dissolved with UC attribute to create UC dataset. UC datasets cover only 2010 flooded areas in Pakistan. No new dataset is shared till to date (Aug 2015). In August 2015, UC attributes were edited according to changes in District Boundary (Admin2). There are three new districts, 2 in Balochistan and 1 in Sindh. Overall boundary shape of the UC was not changed. Do not cover entire Pakistan. No new dataset is shared by PCO since 2011.
  • 10+ Downloads
    Time Period of the Dataset [?]: May 08, 2018-May 08, 2018 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent and IDP distribtuion within the town of Belet Weyne in Belet Weyne District,Hiiran Region, Somalia. The analysis was conducted analyzing GeoEye-1 & WorldView-3 images acquired on the 30 April & 1 May 2018. As observed from the satellite image, the town of Belet Weyne is completely affected by the floods. Around 70% of the extension of the town is totally inundated, being the districts of Bulahabley, Bundaweyn, Dhagahjebis, Hilac, Hindab and Lamagalay Regional Military Based, Radar and Kutimbo completely submerged in water. The flood waters inside areas of partially flooded districts are receding. More than 110 IDP sites are located inside the town, and 50% of them are inside areas completly flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 10+ Downloads
    Time Period of the Dataset [?]: May 11, 2018-May 11, 2018 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent over the district of Baardheere (Gedo Region), the districts of Saakow and Bu'aale (Middle Juba region) and the district of Diinsor (Bay region), Somalia using a Radarsat-2 image acquired on 09 May 2018. As observed from the satellite radar image, a total of 61,000 ha of land were inundated in the area of interest. By using WordPop data, we estimate that at least 100,000 people are potentially affected or living close to the potentially flood area. This correspond about 35% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • Time Period of the Dataset [?]: May 04, 2018-May 04, 2018 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent within the town of Belet Weyne in Belet Weyne District,Hiiran Region, Somalia. The analysis was conducted analyzing GeoEye-1 image acquired on the 30 April 2018. As observed from the satellite image, the town of Belet Weyne is completely affected by the floods. More than 50% of the extension of the town is totally inundated, being the districts of Bulahabley, Bundaweyn, Dhagahjebis, Hilac, Hindab and Lamagalay Regional Military Based completely submerged in water. The areas of partially flooded districts present affected roads and buildings. Districts located in the north of the town are partially or completely obscured by the clouds but they might be totally flooded as well, due to the observations in the surrounding areas of the district. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: May 04, 2018-May 04, 2018 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent in Somali Region, Ethiopia. The analysis was conducted by analysing a Sentinel-1 image acquired on the 1 May 2018. As observed from the satellite radar image, a total of 9,200 ha of land were inundated in the area of interest. By using WorldPop data, we estimate that at least 12,000 people are potentially affected or living close to the flooded area. This corresponds to about 7% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: May 11, 2018-May 11, 2018 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent in Somali Region, Ethiopia. The analysis was conducted by analysing a Sentinel-1 image acquired on the 7 May 2018. As observed from the satellite radar image, a total of 11,329 ha of land were inundated in the area of interest. By using WorldPop data, we estimate that at least 8,800 people are potentially affected or living close to the potentially flooded area. This corresponds to about 6% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 100+ Downloads
    Time Period of the Dataset [?]: March 01, 2014-November 01, 2014 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 1 October 2014
    This dataset updates: Never
    This data set contains information about to the Ebola treatment centres, Isolation centres and transit centres in regards to the West Africa Ebola outbreak. The dataset is updated daily.
  • 30+ Downloads
    Time Period of the Dataset [?]: April 18, 2016-April 18, 2016 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 18 April 2016
    This dataset updates: Never
    Damage data from Ecuador Government in google spreadsheets
  • Time Period of the Dataset [?]: May 02, 2018-May 02, 2018 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent over the districts of Saakow and Bu'aale, Middle Juba, Somalia. The mostly affected areas are in the district of Saakow, where 365 km2 of land are flooded. In total, 19 settlements are within the inundated zones: 12 in Buaale and 7 in Saakow; however, more than 100 settlements, are within 500 meters distance from the flooded areas and might be affected due to the proximity to Juba River. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Time Period of the Dataset [?]: May 17, 2018-May 17, 2018 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent and potentially damaged buildings within the town of Belet Weyne in Belet Weyne District,Hiiran Region, Somalia. The analysis was conducted analyzing GeoEye-1 & WorldView-3 images acquired on the 30 April & 1 May 2018. As observed from the satellite image, the town of Belet Weyne is completely affected by the floods. Within the extension of the town, 66% of the buildings are located inside areas totally inundated and 34% inside areas partially inundated. Building footprints were generated by Humanitarian Open Street Map using an image from 2015, so the number of buildings affected might have been underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.