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  • 1000+ Downloads
    Time Period of the Dataset [?]: June 11, 2015-June 11, 2015 ... More
    Modified [?]: 29 December 2023
    Dataset Added on HDX [?]: 21 January 2015
    This dataset updates: Never
    Data as of June 11, 2015. The "Syria Border Crossings" dataset contains verified data about the geographic location (point geometry) and name of border crossings for Syria. Compiled by the U.S. Department of State, Humanitarian Information Unit (https://hiu.state.gov/), each attribute in the dataset is verified against multiple sources. Locations are only accurate down to the city level. The data contained herein is entirely unclassified and is current as of 16 April 2015. The data is updated as needed. This dataset is primarily hosted on the State GeoNode, the open geographic data platform of the U.S. Department of State.
  • 50+ Downloads
    Time Period of the Dataset [?]: March 02, 2015-April 30, 2015 ... More
    Modified [?]: 5 July 2020
    Dataset Added on HDX [?]: 5 July 2020
    This dataset updates: Never
    This is the underlying data for a manuscript published in the Journal of Diabetes & Metabolic Disorders (DOI : 10.1007/s40200-020-00638-6). The manuscript presents findings from a 2015 survey of Syrian refugees and Lebanese host communities to characterize care-seeking, health service utilization and spending, and medication prescribing and adherence for hypertension and diabetes.
  • 30+ Downloads
    Time Period of the Dataset [?]: October 17, 2019-October 17, 2019 ... More
    Modified [?]: 16 November 2019
    Dataset Added on HDX [?]: 17 October 2019
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Wildfires
    UNOSAT code: FR20191016LBN This map illustrates satellite-detected fire hotspots based on the analysis of Visible Infrared Imaging Radiometer Suite (VIIRS) accessed via NASA FIRMS, between October 15-16, 2019. 30 hotspots were detected in Lebanon and 121 hotspots were detected in three analysed Governorates (i.e. Homs, Lattakia and Tartous) in Syria. 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 [?]: October 23, 2019-October 23, 2019 ... More
    Modified [?]: 31 October 2019
    Dataset Added on HDX [?]: 31 October 2019
    This dataset updates: Never
    UNOSAT code: FR20191016LBN This map illustrates satellite-detected burned areas in Al-Haffa and Al-Qardaha Districts, Lattakia Governorate, Syria, based on SPOT-6 imagery acquired on 21 October 2019. Approximately 433 ha of potentially burned areas were detected by UNOSAT as of 21 October 2019 (red). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 30+ Downloads
    Time Period of the Dataset [?]: October 22, 2019-October 22, 2019 ... More
    Modified [?]: 31 October 2019
    Dataset Added on HDX [?]: 31 October 2019
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Wildfires
    UNOSAT code: FR20191016LBN This map illustrates satellite-detected burned areas in Akkar, Tartous and Homs Governorates, in Lebanon and Syria, based on SPOT-6 imagery acquired on 21 October 2019. Approximately 549 ha of potentially burned areas were detected by UNOSAT as of 21 October 2019 (red). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 50+ Downloads
    Time Period of the Dataset [?]: October 21, 2019-October 21, 2019 ... More
    Modified [?]: 31 October 2019
    Dataset Added on HDX [?]: 31 October 2019
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Wildfires
    UNOSAT code: FR20191016LBN This map illustrates satellite-detected burned areas in Aley and Chouf districts, in Lebanon, based on SPOT-6 imagery acquired on 19 October 2019. Approximately 1275 ha of potentially burned areas were detected by Copernicus-EMS as of 17 October 2019 (orange) and additional 92 ha of burned were detected by UNOSAT as of 19 October 2019 (red), which is equivalent to approximately 7% increase in affected surface area. 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 [?]: October 21, 2019-October 21, 2019 ... More
    Modified [?]: 31 October 2019
    Dataset Added on HDX [?]: 31 October 2019
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Wildfires
    UNOSAT code: FR20191016LBN This map illustrates satellite-detected burned areas in South and El Nabatieh Governorates, in Lebanon, based on SPOT-6 imagery acquired on 19 October 2019. Approximately 80 ha of potentially burned area were detected by UNOSAT as of 19 October 2019 (red), 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 [?]: January 01, 1950-December 31, 2050 ... More
    Modified [?]: 28 September 2018
    Dataset Added on HDX [?]: 28 September 2018
    This dataset updates: Never
    The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
  • 100+ Downloads
    Time Period of the Dataset [?]: September 15, 2015-September 15, 2015 ... More
    Modified [?]: 13 September 2018
    Dataset Added on HDX [?]: 13 September 2018
    This dataset updates: Never
    This dataset is part of the data series [?]: INFORM Models
    INFORM Lebanon was developed by the Lebanon Joint Analysis Unit, which supports the Resident/Humanitarian Coordinator and is a collaboration of humanitarian, development and governmental partners that supports cross sectoral planning at the national level. INFORM Lebanon is being embedded in regional processes and coordination mechanisms to help all partners quantify and prioritise humanitarian and disaster risks in Lebanon in the context of the regional Syrian Crisis Response.
  • 400+ Downloads
    Time Period of the Dataset [?]: October 27, 2016-October 27, 2016 ... More
    Modified [?]: 7 July 2017
    Dataset Added on HDX [?]: 16 April 2015
    This dataset updates: Never
    This dataset contains data about the number of people reached with food assistance in emergency settings. The data is collected from external WFP situation reports and emergency dashboards.
  • 60+ Downloads
    Time Period of the Dataset [?]: December 30, 2015-December 30, 2015 ... More
    Modified [?]: 22 April 2016
    Dataset Added on HDX [?]: 22 April 2016
    This dataset updates: Never
    Lebanese Food security, consumption and Household livelihood statistics
  • 50+ Downloads
    Time Period of the Dataset [?]: December 31, 2015-December 31, 2015 ... More
    Modified [?]: 29 January 2016
    Dataset Added on HDX [?]: 14 January 2016
    This dataset updates: Never
    This dataset is part of the data series [?]: UNDRR - GAR15 Global Exposure
    The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.
  • 100+ Downloads
    Time Period of the Dataset [?]: May 31, 2014-May 31, 2014 ... More
    Modified [?]: 4 January 2016
    Dataset Added on HDX [?]: 4 January 2016
    This dataset updates: Never
    VASyR is the Vulnerability Assessment of Syrian Refugees in Lebanon aimed at gaining knowledge of their living conditions and informing decision-making on programmatic activities. It is a joint UNHCR, UNICEF and WFP multi-sectorial household survey conducted with the registered and awaiting-registration Syrian refugee population in Lebanon.