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  • COD 1400+ Downloads
    Time Period of the Dataset [?]: July 12, 2016-July 12, 2016 ... More
    Modified [?]: 12 July 2016
    Dataset Added on HDX [?]: 29 February 2016
    This dataset updates: Never
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
    Administrative Boundary dataset (shapefiles and spreadsheets) for Greece (levels 0,1,2 & Sea Areas)
  • COD 900+ Downloads
    Time Period of the Dataset [?]: July 08, 2016-July 08, 2016 ... More
    Modified [?]: 12 May 2016
    Dataset Added on HDX [?]: 14 April 2016
    This dataset updates: Never
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
    Spreadsheets and Shapefiles of Administrative levels
  • COD 600+ Downloads
    Time Period of the Dataset [?]: March 23, 2015-March 23, 2015 ... More
    Modified [?]: 3 May 2016
    Dataset Added on HDX [?]: 1 September 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Populated Places - Settlements
    Settlements (towns and villages) with harmonized pcodes and Capital of departments and communes The dataset represent the villages and towns of Benin with harmonized PCODE of ROWCA and codification of capitals.
  • COD 200+ Downloads
    Time Period of the Dataset [?]: January 01, 2006-January 01, 2006 ... More
    Modified [?]: 3 May 2016
    Dataset Added on HDX [?]: 1 September 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Infrastructure
    The dataset represents the roads network of Benin.
  • COD 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2006-January 01, 2006 ... More
    Modified [?]: 3 May 2016
    Dataset Added on HDX [?]: 1 September 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Infrastructure
    The dataset represents the railway network of Benin.
  • 50+ Downloads
    Time Period of the Dataset [?]: April 20, 2016-April 20, 2016 ... More
    Modified [?]: 20 April 2016
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Geotiff download link : http://bit.ly/2PHtJyf This is a Landsat 8-based classification of the extent and condition of mangrove forests in Tanintharyi Region. The classification is derived from satellite images which were acquired in 2014. The classification is based on ground truth data, which was collected in May and June 2015. In addition, further training polygons were digitized based on high-resolution Google Maps and Bing Maps data. This dataset is a filtered version of the initial classification result. The classified mangrove classes are ‘Intact to slightly degraded mangroves’, ‘Degraded mangroves’, ‘Heavily degraded mangroves’ and ‘Nipa monoculture’. suggested citiation: Stephani, A.; Oswald, P.; Koellner, T.; Wegmann, M., 2016. Tanintharyi Region Mangrove Forest dataset (2014). Point of contact: annastephani@gmx.de and patrickoswald@fauna-flora.org
  • 700+ Downloads
    Time Period of the Dataset [?]: February 26, 2016-February 26, 2016 ... More
    Modified [?]: 2 March 2016
    Dataset Added on HDX [?]: 26 February 2016
    This dataset updates: Never
    Fiji - Contour lines with elevation data on each line, split in to two shapefiles, east and west at 180.00 degree line. Generated from Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) data 7.5 arc second resolution with 20m between contour lines.
  • 30+ Downloads
    Time Period of the Dataset [?]: January 01, 2002-December 31, 2014 ... More
    Modified [?]: 17 February 2016
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Geotiff download link : http://bit.ly/2wq7KFy Metadata download link: http://geonode.themimu.info/documents/26 A Landsat-based classification of forest cover in Tanintharyi Region with a focus on changes in intact forest between 2002 and 2014. This dataset expands upon the Myanmar 2002-2014 Forest Cover Change raster*, by differentiating oil palm plantations from other plantations. Developed by: ALARM, Smithsonian Institution, GMAP and American Museum of Natural History *http://geonode.themimu.info/layers/geonode%3Amyanmar_forestcoverchange See the recommended style file (.txt) in the documents section for associating raster values and creating the legend. Original dataset title: Tanintharyi Region 2002-2014 Forest Cover Change
  • 50+ Downloads
    Time Period of the Dataset [?]: January 01, 2002-December 31, 2014 ... More
    Modified [?]: 17 February 2016
    Dataset Added on HDX [?]: 22 January 2020
    This dataset updates: As needed
    Geotiff download link : http://bit.ly/2VOvrlD Metadata Download link: http://geonode.themimu.info/documents/27 A Landsat-based classification of forest cover in Kachin State and Sagaing Region with a focus on changes in intact forest between 2002 and 2014. This dataset expands upon the Myanmar 2002-2014 Forest Cover Change raster*, by differentiating mining from other non-forest land cover classes. Developed by: ALARM, Smithsonian Institution, GMAP and American Museum of Natural History *http://geonode.themimu.info/layers/geonode%3Amyanmar_forestcoverchange See the recommended style file (.txt) in the documents section for associating raster values and creating the legend. Original dataset title: Kachin State and Sagaing Region 2002-2014 Forest Cover Change
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 2015-January 01, 2015 ... More
    Modified [?]: 26 January 2016
    Dataset Added on HDX [?]: 13 May 2015
    This dataset updates: Never
    The Global Exposure Database for GAR: A Global exposure database was developed for GAR15 by UNEP-GRID with close collaboration and inputs from WAPMERR (World Agency of Planetary Monitoring and Earthquake Risk Reduction), EU Joint Research Center (JRC), and Kokusai Kogyo. This database includes estimation on the economic value of the exposed assets, as well as their physical characteristics in urban and rural agglomerations. This information is key to assess the potential damages from different hazards to each of the exposed elements. The global exposure database is developed at 1km spatial resolution at coastal areas and at 5km spatial resolution everywhere else on the globe. It includes economic value, number of residents, and construction type of residential, commercial and industrial buildings, as well as hospitals and schools (De Bono et al., 2015).
  • 100+ Downloads
    Time Period of the Dataset [?]: October 23, 2015-October 23, 2015 ... More
    Modified [?]: 25 November 2015
    Dataset Added on HDX [?]: 23 October 2015
    This dataset updates: Every year
    Capas administrativas 0, 1 y2 de México
  • COD 3700+ Downloads
    Time Period of the Dataset [?]: November 30, 2013-November 30, 2013 ... More
    Modified [?]: 25 November 2015
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: As needed
    This dataset is part of the data series [?]: COD - Hydrology
    River system in 250km scale. Projection is WGS84. Some segments contain names in the attribute.
  • COD 200+ Downloads
    Time Period of the Dataset [?]: August 29, 2011-August 29, 2011 ... More
    Modified [?]: 25 November 2015
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Populated Places - Settlements
    Settlements extracted from Department of the Surveyor General (DSG) sources.
  • COD 90+ Downloads
    Time Period of the Dataset [?]: January 25, 2012-January 25, 2012 ... More
    Modified [?]: 25 November 2015
    Dataset Added on HDX [?]: 1 September 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Infrastructure
    The present geodata represents the railway network.
  • COD 100+ Downloads
    Time Period of the Dataset [?]: January 25, 2012-January 25, 2012 ... More
    Modified [?]: 25 November 2015
    Dataset Added on HDX [?]: 1 September 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Infrastructure
    The present geodata represents the roads network of Mauritania.
  • 5900+ Downloads
    Time Period of the Dataset [?]: July 24, 2015-July 24, 2015 ... More
    Modified [?]: 24 November 2015
    Dataset Added on HDX [?]: 23 July 2015
    This dataset updates: Never
    Información hidrográfica de Perú. Información Cartográfica Básica generalizada a partir de los archivos de Carta Nacional Escala 1/100 000. Con períodos de actualización diferentes.
  • 5800+ Downloads
    Time Period of the Dataset [?]: January 01, 2015-January 01, 2015 ... More
    Modified [?]: 24 November 2015
    Dataset Added on HDX [?]: 12 May 2015
    This dataset updates: Never
    A comprehensive set of information on global volcanic hazard, historical events, population exposure, vulnerability, and impact has been provided to GAR15 by Global Volcano Model (GVM) and The International Association of Volcanology and Chemistry of the Earth’s Interior (IAVCEI). This work is the first of its kind in global coverage and level of contribution from a wide network of experts and institutions around the world.
  • COD 3500+ Downloads
    Time Period of the Dataset [?]: January 01, 2001-January 01, 2001 ... More
    Modified [?]: 24 November 2015
    Dataset Added on HDX [?]: 26 April 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: COD - Hydrology
    River data for Nepal.
  • COD 1200+ Downloads
    Time Period of the Dataset [?]: February 02, 2012-February 02, 2012 ... More
    Modified [?]: 24 November 2015
    Dataset Added on HDX [?]: 10 April 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Elevation
    The geodata represents the digital elevation model of Nigeria. Spatial resolution: 90 meters.
  • COD 700+ Downloads
    Time Period of the Dataset [?]: February 02, 2012-February 02, 2012 ... More
    Modified [?]: 24 November 2015
    Dataset Added on HDX [?]: 10 April 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Hydrology
    The geodata represents the hydrography network of Nigeria. Scale: 1:1,000,000
  • COD 2700+ Downloads
    Time Period of the Dataset [?]: October 21, 2014-October 21, 2014 ... More
    Modified [?]: 24 November 2015
    Dataset Added on HDX [?]: 2 April 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Populated Places - Settlements
    The dataset represents all settlements of Nigeria with codification of capitals.
  • COD 300+ Downloads
    Time Period of the Dataset [?]: January 02, 2015-January 02, 2015 ... More
    Modified [?]: 4 September 2015
    Dataset Added on HDX [?]: 1 September 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Hydrology
    Rwanda Rivers as sourced from WFP / NISR
  • Time Period of the Dataset [?]: January 01, 2014-December 31, 2014 ... More
    Modified [?]: 5 May 2014
    Dataset Added on HDX [?]: 27 May 2019
    This dataset updates: As needed
    This dataset is part of the data series [?]: WorldPop - Births
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2014. Papua New Guinea 100m Births. Alpha version 2010, 2012, 2015, 2020, 2025, 2030, and 2035 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00211
  • Time Period of the Dataset [?]: January 01, 2014-December 31, 2014 ... More
    Modified [?]: 5 May 2014
    Dataset Added on HDX [?]: 27 May 2019
    This dataset updates: As needed
    This dataset is part of the data series [?]: WorldPop - Births
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2014. Solomon Islands 100m Births. Alpha version 2010, 2012, 2015, 2020, 2025, 2030, and 2035 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00238
  • Time Period of the Dataset [?]: January 01, 2014-December 31, 2014 ... More
    Modified [?]: 5 May 2014
    Dataset Added on HDX [?]: 27 May 2019
    This dataset updates: As needed
    This dataset is part of the data series [?]: WorldPop - Pregnancies
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2014. Papua New Guinea 100m Pregnancies. Alpha version 2010, 2012, 2015, 2020, 2025, 2030, and 2035 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org/). DOI: 10.5258/SOTON/WP00213