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Data Datasets [212] | Archived Datasets[150] [?]
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  • 1700+ Downloads
    Time Period of the Dataset [?]: January 01, 2018-January 01, 2019 ... More
    Modified [?]: 16 April 2024
    Dataset Added on HDX [?]: 2 October 2014
    This dataset updates: Never
    This dataset contains shapefiles for Guinea, Liberia, and Sierra Leone from the OpenStreetMap (OSM) project. Each country has its individual file. The dataset counts with contributions of hundreds of users. This dataset is updated daily. The original dataset can be downloaded from the OSM West Africa Ebola response wiki.
  • 92000+ Downloads
    Time Period of the Dataset [?]: July 01, 2017-April 16, 2024 ... More
    Modified [?]: 9 April 2024
    Dataset Added on HDX [?]: 29 October 2020
    This dataset updates: Never
    This is a repository for PDF files that are linked on the OCHA Centre for Humanitarian Data's website, https://centre.humdata.org. Please note that if you wish to access these files, we recommend you use the Resources section of the Centre's website rather than downloading from HDX.
  • 2200+ Downloads
    Time Period of the Dataset [?]: January 22, 2014-December 31, 2021 ... More
    Modified [?]: 3 April 2024
    Dataset Added on HDX [?]: 16 September 2019
    This dataset updates: Never
    This dataset is part of the data series [?]: UCDP - Data on Conflict Events
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, โ€œIntroducing the UCDP Georeferenced Event Datasetโ€, Journal of Peace Research, vol.50, no.4, 523-532 Hรถgbladh Stina, 2019, โ€œUCDP GED Codebook version 19.1โ€, Department of Peace and Conflict Research, Uppsala University
  • 80+ Downloads
    Time Period of the Dataset [?]: December 01, 2015-December 01, 2015 ... More
    Modified [?]: 29 April 2015
    Dataset Added on HDX [?]: 29 April 2015
    This dataset updates: Never
    This dataset contains a link to the geonode instance maintained by the Ministry of Home Affairs of the Government of Nepal. The geonode contains layers such as administrative level boundaries, drought models and elevation.
  • 100+ Downloads
    Time Period of the Dataset [?]: April 21, 2016-April 21, 2016 ... More
    Modified [?]: 21 June 2016
    Dataset Added on HDX [?]: 17 June 2016
    This dataset updates: Never
    This dataset contains a list of the countries affected by the El Niรฑo as at April 21, 2016 as reported jointly by FAO, the Global Food Security Cluster and WFP on 21 April 2016 in the 2015-2016 El Niรฑo: WFP and FAO Overview update. According to the World Bank, El Niรฑo is likely to have a negative impact in more isolated local food markets, and many countries are already facing increased food prices. Food Security Cluster partners have implemented preparedness activities and are responding in countries where the effects of El Niรฑo have materialised, such as Ethiopia, Papua New Guinea, Malawi and throughout Central America. In Southern Africa, many areas have seen the driest October-December period since at least 1981, and some 14 million people in the region are already facing hunger, which adds to fears of a spike in the numbers of the food insecure later this year through 2017.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 01, 1960-December 30, 2014 ... More
    Modified [?]: 10 February 2016
    Dataset Added on HDX [?]: 10 February 2016
    This dataset updates: Never
    This dataset is from the global compendium of Aedes aegypti and Ae. albopictus occurrence. It shows the occurence of Aedes aegypti and Ae. albopictus Mosquitoes
  • Time Period of the Dataset [?]: December 03, 2014-December 03, 2014 ... More
    Modified [?]: 18 January 2018
    Dataset Added on HDX [?]: 3 December 2014
    This dataset updates: Never
    Collection of topline figures about Colombia.
  • 60+ Downloads
    Time Period of the Dataset [?]: September 30, 2016-September 30, 2016 ... More
    Modified [?]: 6 October 2016
    Dataset Added on HDX [?]: 6 October 2016
    This dataset updates: Never
    This dataset contains the integrated phase classification (IPC) for September 2016, and livelihood zones for Haiti, extracted to each administrative level 3 unit (sections). It also contains the population for each admin 3 unit based on WorldPop (2015 v2b UN adjusted). Source datasets: IPC and Livelihoods Administrative Boundaries (version released 6-Oct-2016)
  • 200+ Downloads
    Time Period of the Dataset [?]: September 07, 2014-November 04, 2015 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 30 October 2014
    This dataset updates: Never
    Cumulative number of health-care workers that died from Ebola infection. Extracted from WHO: Ebola Response Roadmap Situation Reports, the latest of which was on 4 November 2015.
  • 20+ Downloads
    Time Period of the Dataset [?]: April 26, 2015-April 26, 2015 ... More
    Modified [?]: 6 September 2018
    Dataset Added on HDX [?]: 26 April 2015
    This dataset updates: Never
    Resource with the locations of the Areas of Interest (AOIs) for the collection of satellite imagery on the Nepal Earthquake crisis. It contains metadata about when imagery will be collected, when it will be processed and analyzed, and when it will be released.
  • 100+ Downloads
    Time Period of the Dataset [?]: April 25, 2015-April 25, 2015 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 25 April 2015
    This dataset updates: Never
    For more information please refer to USGS's official page.
  • 200+ Downloads
    Time Period of the Dataset [?]: May 12, 2015-May 12, 2015 ... More
    Modified [?]: 10 November 2019
    Dataset Added on HDX [?]: 12 May 2015
    This dataset updates: Never
  • 100+ Downloads
    Time Period of the Dataset [?]: January 06, 2016-January 06, 2016 ... More
    Modified [?]: 19 January 2018
    Dataset Added on HDX [?]: 6 November 2014
    This dataset updates: Never
    Collection of topline figures about the Ebola outbreak and response.
  • Time Period of the Dataset [?]: December 09, 2017-December 09, 2017 ... More
    Modified [?]: 19 December 2017
    Dataset Added on HDX [?]: 19 December 2017
    This dataset updates: Never
    Personnes dรฉplacรฉes du Pool
  • Time Period of the Dataset [?]: July 01, 2015-July 01, 2015 ... More
    Modified [?]: 13 October 2015
    Dataset Added on HDX [?]: 12 October 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: HDX - Food Insecurity Mapping
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on July 01, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for April-June 2015 LAC201304_ML2 Most likely food security outcome for July-September 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • Time Period of the Dataset [?]: October 08, 2015-October 08, 2015 ... More
    Modified [?]: 13 October 2015
    Dataset Added on HDX [?]: 13 October 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: HDX - Food Insecurity Mapping
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on October 08, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for July-September 2015 LAC201304_ML2 Most likely food security outcome for October-December 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • Time Period of the Dataset [?]: March 31, 2015-March 31, 2015 ... More
    Modified [?]: 13 October 2015
    Dataset Added on HDX [?]: 13 October 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: HDX - Food Insecurity Mapping
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Central America and The Caribbean. It was last updated on March 31, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: LAC201304_ML1 Most likely food security outcome for January-March 2015 LAC201304_ML2 Most likely food security outcome for April-June 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • Time Period of the Dataset [?]: February 11, 2015-February 11, 2015 ... More
    Modified [?]: 14 October 2015
    Dataset Added on HDX [?]: 14 October 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: HDX - Food Insecurity Mapping
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Central Asia. It was last updated on February 11, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: centralasia201304_ML1 Most likely food security outcome for January-March 2015 centralasia201304_ML2 Most likely food security outcome for April-June 2015 Where xx is one of the region codes listed above. Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • Time Period of the Dataset [?]: April 30, 2015-April 30, 2015 ... More
    Modified [?]: 14 October 2015
    Dataset Added on HDX [?]: 14 October 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: HDX - Food Insecurity Mapping
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Central Asia. It was last updated on April 30, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: centralasia201304_ML1 Most likely food security outcome for April-June 2015 centralasia201304_ML2 Most likely food security outcome for July-September 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 10+ Downloads
    Time Period of the Dataset [?]: March 25, 2015-March 25, 2015 ... More
    Modified [?]: 14 October 2015
    Dataset Added on HDX [?]: 14 October 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: HDX - Food Insecurity Mapping
    This Archive contains shapefiles for FEWS NET Food Security Outlook for West Africa. It was last updated on March 25, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: westafrica201304_ML1 Most likely food security outcome for January-March 2015 westafrica201304_ML2 Most likely food security outcome for April-June 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • Time Period of the Dataset [?]: June 30, 2015-June 30, 2015 ... More
    Modified [?]: 14 October 2015
    Dataset Added on HDX [?]: 14 October 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: HDX - Food Insecurity Mapping
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on June 30, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: westafrica201304_ML1 Most likely food security outcome for April-June 2015 westafrica201304_ML2 Most likely food security outcome for July-September 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 40+ Downloads
    Time Period of the Dataset [?]: September 30, 2015-September 30, 2015 ... More
    Modified [?]: 14 October 2015
    Dataset Added on HDX [?]: 14 October 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: HDX - Food Insecurity Mapping
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on September 30, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: westafrica201304_ML1 Most likely food security outcome for July-September 2015 westafrica201304_ML2 Most likely food security outcome for October-December 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 10+ Downloads
    Time Period of the Dataset [?]: April 03, 2015-April 03, 2015 ... More
    Modified [?]: 14 October 2015
    Dataset Added on HDX [?]: 14 October 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: HDX - Food Insecurity Mapping
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on April 03, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for January-March 2015 eastafrica201304_ML2 Most likely food security outcome for April-June 2015 Where xx is one of the region codes listed above. Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 10+ Downloads
    Time Period of the Dataset [?]: June 30, 2015-June 30, 2015 ... More
    Modified [?]: 14 October 2015
    Dataset Added on HDX [?]: 14 October 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: HDX - Food Insecurity Mapping
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on June 30, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for April-June 2015 eastafrica201304_ML2 Most likely food security outcome for July-September 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • Time Period of the Dataset [?]: June 01, 2015-June 01, 2015 ... More
    Modified [?]: 15 October 2015
    Dataset Added on HDX [?]: 15 October 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: HDX - Food Insecurity Mapping
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on June 01, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for April-June 2015 southernafrica201304_ML2 Most likely food security outcome for July-September 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)