Lebanon

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Data Datasets [9] | Archived Datasets[2] [?]
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  • HDX HAPI - Metadata: Data Availability
    HDX Humanitarian API Data
    400+ Downloads
    Time Period of the Dataset [?]: May 20, 2025-May 20, 2025 ... More
    Modified [?]: 21 May 2025
    Dataset Added on HDX [?]: 24 October 2024
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    This dataset updates: Every day
    This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.
  • HDX HAPI - Coordination & Context: National Risk
    HDX Humanitarian API Data
    200+ Downloads
    Time Period of the Dataset [?]: January 01, 2024-December 31, 2024 ... More
    Modified [?]: 21 May 2025
    Dataset Added on HDX [?]: 24 October 2024
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    This dataset updates: Every day
    This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.
  • Protection in Danger Data
    Insecurity Insight
    1800+ Downloads
    Time Period of the Dataset [?]: January 21, 2020-April 17, 2025 ... More
    Modified [?]: 19 May 2025
    Dataset Added on HDX [?]: 17 October 2018
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    This dataset updates: As needed
    This dataset contains violent agency- and open source events affecting refugee and IDP camps published in the Protection in Danger Monthly News Brief. Categorized by country. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
  • Conflict-Related Sexual Violence (CRSV) Data
    Insecurity Insight
    2900+ Downloads
    Time Period of the Dataset [?]: January 07, 2020-March 17, 2025 ... More
    Modified [?]: 12 May 2025
    Dataset Added on HDX [?]: 11 January 2022
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    This dataset updates: As needed
    This dataset contains publicly-reported cases of sexual violence by conflict actors, security personnel, and sexual violence violence that targets aid workers, educators, health workers and IDPS/refugees. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
  • Topline Indicators
    World Bank Group
    1000+ Downloads
    Time Period of the Dataset [?]: January 01, 2011-December 31, 2023 ... More
    Modified [?]: 27 April 2025
    Dataset Added on HDX [?]: 1 September 2017
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    This dataset updates: Every month
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
  • Cross Gender Ties
    Data for Good at Meta
    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
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    This dataset updates: As needed
    Data from the paper "Cross-Gender Social Ties Around the World", which is available here.
  • Admissions for Treatment of Severe Acute Malnutrition (SAM)
    UNICEF Data and Analytics (HQ)
    500+ Downloads
    Time Period of the Dataset [?]: February 08, 2021-May 23, 2025 ... More
    Modified [?]: 29 December 2022
    Dataset Added on HDX [?]: 25 January 2021
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    This dataset updates: Live
    Number of children 6-59 months admitted for TREATMENT OF SEVERE ACUTE MALNUTRITION (SAM) by country
  • Novel Coronavirus (COVID-19) Cases Data
    Johns Hopkins University Center for Systems Science and Engineering
    223000+ Downloads
    Time Period of the Dataset [?]: January 22, 2020-March 09, 2023 ... More
    Modified [?]: 28 July 2020
    Dataset Added on HDX [?]: 7 February 2020
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    This dataset updates: As needed
    JHU Has Stopped Collecting Data As Of 03/10/2023 After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations. The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics. Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv
  • AI-Detected Missing Roads
    Data for Good at Meta
    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
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    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/