Lebanon

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  • 7400+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-April 21, 2025 ... More
    Modified [?]: 12 May 2025
    Dataset Added on HDX [?]: 17 October 2018
    This dataset updates: As needed
    This dataset contains agency- and open source events published in the Education in Danger Monthly News Brief. Categorized by country. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
  • 6000+ Downloads
    Time Period of the Dataset [?]: February 17, 2021-September 03, 2023 ... More
    Modified [?]: 4 March 2025
    Dataset Added on HDX [?]: 24 June 2021
    This dataset updates: Never
    In partnership with Yale, Meta launched a climate change opinion survey that explores public climate change knowledge, attitudes, policy preferences, and behaviors. 2023 aggregated survey responses now available. The 2022 survey includes respondents from nearly 200 countries and territories. We are sharing country level data from this survey, providing policymakers, research institutions, and nonprofits with an international view of public climate change opinion. For more information please see https://dataforgood.facebook.com/dfg/tools/climate-change-opinion-survey If you're interested in becoming a research partner and accessing record level data, please email dataforgood@fb.com.
  • 700+ Downloads
    Time Period of the Dataset [?]: January 30, 2025-January 30, 2025 ... More
    Modified [?]: 19 February 2025
    Dataset Added on HDX [?]: 22 January 2025
    This dataset updates: As needed
    Data from the paper "Cross-Gender Social Ties Around the World", which is available here.
  • 100+ Downloads
    Time Period of the Dataset [?]: May 27, 2020-December 03, 2022 ... More
    Modified [?]: 26 May 2020
    Dataset Added on HDX [?]: 26 May 2020
    This dataset updates: As needed
    NEWER ROAD MAPPING DATA CAN BE FOUND IN THE OVERTURE MAPS FOUNDATION RELEASES: https://overturemaps.org/ In conjunction with OpenStreetMap, we are creating tools that we hope will enable the mapping community to enjoy a faster & more accurate mapping experience. To this end, we used artificial intelligence to predict features on high-resolution satellite imagery; these features are then populated in our RapiD map editing tool. When combined with global-scale humanitarian efforts, we hope RapiD can help realize our vision of a more connected world. Find out more: https://mapwith.ai/