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  • Updated 1 July 2022 | Dataset date: June 01, 2022-July 01, 2022
    This dataset updates: Never
    Base de datos sobre la oferta de servicios del clúster de salud a corte junio de 2022
  • 600+ Downloads
    Updated 1 July 2022 | Dataset date: March 03, 2022-July 01, 2022
    This dataset updates: Every day
    Key Figures extracted from Ukraine Flash Appeal, FTS and the daily Situation Reports.
  • 9800+ Downloads
    Updated 1 July 2022 | Dataset date: March 16, 2020-June 29, 2022
    This dataset updates: Every day
    This data has been collected from various sources and is displayed in this online dashboard: https://geonode.wfp.org/travel Mobile version: https://geonode.wfp.org/travel_mobile The data is divided in two datasets: COVID-19 restrictions by country: This dataset shows current travel restrictions. Information is collected from various sources: IATA, media, national sources, WFP internal or any other. COVID-19 airline restrictions information: This dataset shows restrictions taken by individual airlines or country. Information is collected again from various sources including WFP internal and public sources. The data displayed is a collaborative effort and anybody with more accurate/updated information is highly encouraged to contact WFP GIS unit for Emergencies at the following email address: hq.gis@wfp.org
  • 5600+ Downloads
    Updated 1 July 2022 | Dataset date: December 08, 2021-December 08, 2021
    This dataset updates: Every day
    This dataset contains key figures (topline numbers) on the world's most pressing humanitarian crises. The data, curated by ReliefWeb's editorial team based on its relevance to the humanitarian community, is updated regularly. The description of the files and columns can be found in the additional metadata spreadsheet file.
  • 8200+ Downloads
    Updated Live | Dataset date: December 01, 2019-June 30, 2022
    This dataset updates: Live
    Data Overview This repository contains spatiotemporal data from many official sources for 2019-Novel Coronavirus beginning 2019 in Hubei, China ("nCoV_2019") You may not use this data for commercial purposes. If there is a need for commercial use of the data, please contact Metabiota at info@metabiota.com to obtain a commercial use license. The incidence data are in a CSV file format. One row in an incidence file contains a piece of epidemiological data extracted from the specified source. The file contains data from multiple sources at multiple spatial resolutions in cumulative and non-cumulative formats by confirmation status. To select a single time series of case or death data, filter the incidence dataset by source, spatial resolution, location, confirmation status, and cumulative flag. Data are collected, structured, and validated by Metabiota’s digital surveillance experts. The data structuring process is designed to produce the most reliable estimates of reported cases and deaths over space and time. The data are cleaned and provided in a uniform format such that information can be compared across multiple sources. Data are collected at the time of publication in the highest geographic and temporal resolutions available in the original report. This repository is intended to provide a single access point for data from a wide range of data sources. Data will be updated periodically with the latest epidemiological data. Metabiota maintains a database of epidemiological information for over two thousand high-priority infectious disease events. Please contact us (info@metabiota.com) if you are interested in licensing the complete dataset. Cumulative vs. Non-Cumulative Incidence Reporting sources provide either cumulative incidence, non-cumulative incidence, or both. If the source only provides a non-cumulative incidence value, the cumulative values are inferred using prior reports from the same source. Use the CUMULATIVE FLAG variable to subset the data to cumulative (TRUE) or non-cumulative (FALSE) values. Case Confirmation Status The incidence datasets include the confirmation status of cases and deaths when this information is provided by the reporting source. Subset the data by the CONFIRMATION_STATUS variable to either TOTAL, CONFIRMED, SUSPECTED, or PROBABLE to obtain the data of your choice. Total incidence values include confirmed, suspected, and probable incidence values. If a source only provides suspected, probable, or confirmed incidence, the total incidence is inferred to be the sum of the provided values. If the report does not specify confirmation status, the value is included in the "total" confirmation status value. The data provided under the "Metabiota Composite Source" often does not include suspected incidence due to inconsistencies in reporting cases and deaths with this confirmation status. Outcome - Cases vs. Deaths The incidence datasets include cases and deaths. Subset the data to either CASE or DEATH using the OUTCOME variable. It should be noted that deaths are included in case counts. Spatial Resolution Data are provided at multiple spatial resolutions. Data should be subset to a single spatial resolution of interest using the SPATIAL_RESOLUTION variable. Information is included at the finest spatial resolution provided to the original epidemic report. We also aggregate incidence to coarser geographic resolutions. For example, if a source only provides data at the province-level, then province-level data are included in the dataset as well as country-level totals. Users should avoid summing all cases or deaths in a given country for a given date without specifying the SPATIAL_RESOLUTION value. For example, subset the data to SPATIAL_RESOLUTION equal to “AL0” in order to view only the aggregated country level data. There are differences in administrative division naming practices by country. Administrative levels in this dataset are defined using the Google Geolocation API (https://developers.google.com/maps/documentation/geolocation/). For example, the data for the 2019-nCoV from one source provides information for the city of Beijing, which Google Geolocations indicates is a “locality.” Beijing is also the name of the municipality where the city Beijing is located. Thus, the 2019-nCoV dataset includes rows of data for both the city Beijing, as well as the municipality of the same name. If additional cities in the Beijing municipality reported data, those data would be aggregated with the city Beijing data to form the municipality Beijing data. Sources Data sources in this repository were selected to provide comprehensive spatiotemporal data for each outbreak. Data from a specific source can be selected using the SOURCE variable. In addition to the original reporting sources, Metabiota compiles multiple sources to generate the most comprehensive view of an outbreak. This compilation is stored in the database under the source name “Metabiota Composite Source.” The purpose of generating this new view of the outbreak is to provide the most accurate and precise spatiotemporal data for the outbreak. At this time, Metabiota does not incorporate unofficial - including media - sources into the “Metabiota Composite Source” dataset. Quality Assurance Data are collected by a team of digital surveillance experts and undergo many quality assurance tests. After data are collected, they are independently verified by at least one additional analyst. The data also pass an automated validation program to ensure data consistency and integrity. NonCommercial Use License Creative Commons License Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) This is a human-readable summary of the Legal Code. You are free: to Share — to copy, distribute and transmit the work to Remix — to adapt the work Under the following conditions: Attribution — You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). Noncommercial — You may not use this work for commercial purposes. Share Alike — If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one. With the understanding that: Waiver — Any of the above conditions can be waived if you get permission from the copyright holder. Public Domain — Where the work or any of its elements is in the public domain under applicable law, that status is in no way affected by the license. Other Rights — In no way are any of the following rights affected by the license: Your fair dealing or fair use rights, or other applicable copyright exceptions and limitations; The author's moral rights; Rights other persons may have either in the work itself or in how the work is used, such as publicity or privacy rights. Notice — For any reuse or distribution, you must make clear to others the license terms of this work. The best way to do this is with a link to this web page. For details and the full license text, see http://creativecommons.org/licenses/by-nc-sa/3.0/ Liability Metabiota shall in no event be liable for any decision taken by the user based on the data made available. Under no circumstances, shall Metabiota be liable for any damages (whatsoever) arising out of the use or inability to use the database. The entire risk arising out of the use of the database remains with the user.
  • 20+ Downloads
    Updated 30 June 2022 | Dataset date: June 29, 2022-July 01, 2022
    This dataset updates: Every year
    Gabon administrative level 0-2 sex and age disaggregated projected 2022 population statistics REFERENCE YEAR: 2022 These tables are suitable for database or GIS linkage to the Gabon - Subnational Administrative Boundaries layers using the ADM0 and ADM1_PCODE fields.
  • 400+ Downloads
    Updated 30 June 2022 | Dataset date: June 17, 2020-July 01, 2022
    This dataset updates: Every year
    Uruguay administrative level 0-1 projected 2020 sex and age disaggregated population statistics REFERENCE YEAR: 2022 These tables are suitable for database or GIS linkage to the Uruguay - Subnational Administrative Boundaries.
  • 1100+ Downloads
    Updated 30 June 2022 | Dataset date: December 10, 2020-July 01, 2022
    This dataset updates: Every year
    Bhutan administrative level 0-1 sex and age disaggregated 2022 projected population statistics REFERENCE YEAR: 2022 The CSV tables are suitable for database or GIS linkage to the Bhutan - Subnational Administrative Boundaries boundaries.
  • Updated 30 June 2022 | Dataset date: June 30, 2022-July 01, 2022
    This dataset updates: Every month
    base para el dashboard Seguimiento 345W - 2022 Educación en emergencias
  • 1200+ Downloads
    Updated 30 June 2022 | Dataset date: January 01, 2019-December 31, 2022
    This dataset updates: Every year
    This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
  • Updated 30 June 2022 | Dataset date: June 30, 2022-June 30, 2022
    This dataset updates: As needed
    Germany population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand (LINZ Data Service) NZ Building Outlines and OpenStreetMap data. Gobal version of population dataset: Kontur Population: Global Population Density for 400m H3 Hexagons
  • 800+ Downloads
    Updated 30 June 2022 | Dataset date: March 11, 2020-June 30, 2022
    This dataset updates: As needed
    Global Population dataset. Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, and OpenStreetMap data.
  • 100+ Downloads
    Updated 30 June 2022 | Dataset date: April 25, 2022-July 01, 2022
    This dataset updates: Every year
    Ukraine administrative level 0-4 edge-matched gazetteer, shapefiles, geodatabase, and geoservice. These layers are suitable for database or GIS linkage to the Ukraine - Subnational Population Statistics tables. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
  • 300+ Downloads
    Updated 30 June 2022 | Dataset date: January 01, 2021-September 30, 2021
    This dataset updates: Every three months
    The data set contains the number of people in need, people targeted and people reached by humanitarian assistance in Sudan during the period January-December 2021.It contains the overall reached and the sector breakdowns too. The data is provided by admin 2 level.
  • 300+ Downloads
    Updated 30 June 2022 | Dataset date: January 01, 2021-December 31, 2022
    This dataset updates: Every year
    This dataset is made for planning purposes. It contains the number of people potentially at risk of hazards (floods, disease outbreaks and conflict) in Sudan.
  • Updated 30 June 2022 | Dataset date: April 30, 2004-July 01, 2022
    This dataset updates: Every month
    Zimbabwe Monthly staple food price data collected by FEWS NET since 2004.
  • Updated 30 June 2022 | Dataset date: April 30, 2004-July 01, 2022
    This dataset updates: Every month
    Zimbabwe Monthly staple food price data collected by FEWS NET since 2004.
  • Updated 30 June 2022 | Dataset date: December 31, 2013-July 01, 2022
    This dataset updates: Every month
    Angola Monthly staple food price data collected by FEWS NET since 2013.
  • Updated 30 June 2022 | Dataset date: January 31, 2004-July 01, 2022
    This dataset updates: Every week
    Djibouti Weekly staple food price data collected by FEWS NET since 2004.
  • Updated 30 June 2022 | Dataset date: January 04, 2005-July 01, 2022
    This dataset updates: Every week
    Haiti Weekly staple food price data collected by FEWS NET since 2005.
  • Updated 30 June 2022 | Dataset date: January 31, 2002-July 01, 2022
    This dataset updates: Every week
    Mauritania Weekly staple food price data collected by FEWS NET since 2002.
  • Updated 30 June 2022 | Dataset date: November 05, 2014-July 01, 2022
    This dataset updates: Every week
    Malawi Weekly staple food price data collected by FEWS NET since 2014.
  • Updated 30 June 2022 | Dataset date: October 29, 2003-July 01, 2022
    This dataset updates: Every week
    Nigeria Weekly staple food price data collected by FEWS NET since 2003.
  • 10+ Downloads
    Updated 30 June 2022 | Dataset date: March 03, 2021-July 01, 2022
    This dataset updates: Every week
    Nigeria Weekly staple food price data collected by FEWS NET since 2021.
  • Updated 30 June 2022 | Dataset date: January 31, 2017-July 01, 2022
    This dataset updates: Every week
    Congo, The Democratic Republic of the Weekly staple food price data collected by FEWS NET since 2017.