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  • 8000+ Downloads
    Updated Live | Dataset date: December 01, 2019-May 19, 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.
  • 4200+ Downloads
    Updated 19 May 2022 | Dataset date: May 31, 2020-May 31, 2020
    This dataset updates: Every day
    Aggregated figures for Natural Disasters in EM-DAT More on the EM-DAT database : ( website / data portal ). Each line corresponds to a given combination of year, country, disaster subtype and reports figures for : number of disasters total number of people affected total number of deaths economic losses (original value and adjusted)
  • 1300+ Downloads
    Updated 18 May 2022 | Dataset date: November 13, 2019-November 13, 2019
    This dataset updates: Every year
    With its Global Militarisation Index (GMI), BICC is able to objectively depict worldwide militarisation for the first time. The GMI compares, for example, a country’s military expenditure with its Gross Domestic Product (GDP) and its health expenditure. It contrasts the total number of military and paramilitary forces in a country with the number of physicians. Finally, it studies the number of heavy weapons available to a country’s armed forces. These and other indicators are used to determine a country’s ranking, which in turn makes it possible to measure the respective level of militarisation in comparison to other countries. The latest GMI of 2018 covers 155 countries and is based on the latest available figures (in most cases data for 2017). Israel, Singapore, Armenia, Cyprus, South Korea, Russia, Greece, Jordan, Brunei and Belarus are the top 10 worldwide. These countries allocate particularly high levels of resources to the military in comparison to other areas of society. See project website for more information
  • 200+ Downloads
    Updated 17 May 2022 | Dataset date: January 01, 1997-May 13, 2022
    This dataset updates: Every week
    A weekly dataset providing the total number of reported civilian targeting events and fatalities broken down by country. Civilian targeting events include violence against civilians events and explosions/remote violence events in which civilians were directly targeted. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
  • 300+ Downloads
    Updated 17 May 2022 | Dataset date: January 01, 1997-May 13, 2022
    This dataset updates: Every week
    A weekly dataset providing the total number of reported political violence events and fatalities broken down by country. Political violence events include ACLED’s battles, violence against civilians, and explosions/remote violence event types, as well as the mob violence sub-event type of the riots event type. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
  • 100+ Downloads
    Updated 17 May 2022 | Dataset date: January 01, 1997-May 13, 2022
    This dataset updates: Every week
    A weekly dataset providing the total number of reported demonstration events broken down by country. Demonstration events include ACLED’s protests and riots event types, with the exception of the mob violence sub-event type of the riots event type. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
  • 2000+ Downloads
    Updated 15 May 2022 | Dataset date: January 15, 1990-May 15, 2022
    This dataset updates: Every week
    This dataset contains Countries, Commodities and Markets data, sourced from the World Food Programme Price Database. The volume of data means that the actual Food Prices data is in country level datasets. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 6100+ Downloads
    Updated 13 May 2022 | Dataset date: January 01, 2019-April 30, 2022
    This dataset updates: Every month
    The INFORM Severity Index is a regularly updated, and easily interpreted model for measuring the severity of humanitarian crisis globally. It is a composite index, which brings together 31 core indicators, organised in three dimensions: impact, conditions of affected people, and complexity. All the indicators are scored on a scale of 1 to 5. These scores are then aggregated into components, the three dimensions (Impact, Conditions, Complexity), and the overall severity category based on the analytical framework. The three dimensions have been weighted according to their contribution to severity: impact of the crisis (20%); conditions of affected people (50%); complexity (30%). The weightings are currently a best estimate and will be refined using expert analysis and statistical methods. Each crisis will fall into 1 of 5 categories based on their score ranging from very low to high. ACAPS – an INFORM technical partner – is responsible for collection, cleaning, analysis and input of data into the model and the production of the final results. Read more on the GCSI methodology here: https://www.acaps.org/methodology/severity This data is also available on ACAPS API: http://api.acaps.org/api/v1
  • 30+ Downloads
    Updated 12 May 2022 | Dataset date: May 11, 2022-May 19, 2022
    This dataset updates: Every month
    Uses Common Operational Datasets (COD) when available, falling back to geoBoundaries for regions without coverage of subnational administrative geodata. Represents the latest available data for humanitarian operational use. Polygons contain only data for the most detailed admin level available, which may not be ADM4 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
  • 10+ Downloads
    Updated 12 May 2022 | Dataset date: May 11, 2022-May 19, 2022
    This dataset updates: Every month
    Uses Common Operational Datasets (COD) when available, falling back to geoBoundaries for regions without coverage of subnational administrative geodata. Represents the latest available data for humanitarian operational use. Polygons contain only data for the most detailed admin level available, which may not be ADM3 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
  • 10+ Downloads
    Updated 12 May 2022 | Dataset date: May 11, 2022-May 19, 2022
    This dataset updates: Every month
    Uses Common Operational Datasets (COD) when available, falling back to geoBoundaries for regions without coverage of subnational administrative geodata. Represents the latest available data for humanitarian operational use. Polygons contain only data for the most detailed admin level available, which may not be ADM2 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
  • 20+ Downloads
    Updated 12 May 2022 | Dataset date: May 11, 2022-May 19, 2022
    This dataset updates: Every month
    Uses Common Operational Datasets (COD) when available, falling back to geoBoundaries for regions without coverage of subnational administrative geodata. Represents the latest available data for humanitarian operational use. Polygons contain only data for the most detailed admin level available, which may not be ADM1 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
  • 20+ Downloads
    Updated 12 May 2022 | Dataset date: May 11, 2022-May 19, 2022
    This dataset updates: Every month
    Uses geoBoundaries exclusively for subnational administrative geodata, representing data suitable for most purposes, academic or commercial. Requires attribution to geoBoundaries. Polygons contain only data for the most detailed admin level available, which may not be ADM4 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
  • 10+ Downloads
    Updated 12 May 2022 | Dataset date: May 11, 2022-May 19, 2022
    This dataset updates: Every month
    Uses geoBoundaries exclusively for subnational administrative geodata, representing data suitable for most purposes, academic or commercial. Requires attribution to geoBoundaries. Polygons contain only data for the most detailed admin level available, which may not be ADM3 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
  • 10+ Downloads
    Updated 12 May 2022 | Dataset date: May 11, 2022-May 19, 2022
    This dataset updates: Every month
    Uses geoBoundaries exclusively for subnational administrative geodata, representing data suitable for most purposes, academic or commercial. Requires attribution to geoBoundaries. Polygons contain only data for the most detailed admin level available, which may not be ADM2 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
  • 10+ Downloads
    Updated 12 May 2022 | Dataset date: May 11, 2022-May 19, 2022
    This dataset updates: Every month
    Uses geoBoundaries exclusively for subnational administrative geodata, representing data suitable for most purposes, academic or commercial. Requires attribution to geoBoundaries. Polygons contain only data for the most detailed admin level available, which may not be ADM1 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
  • 60+ Downloads
    Updated 12 May 2022 | Dataset date: May 11, 2022-May 19, 2022
    This dataset updates: Every month
    Balanced world view for use by international non-governmental organizations. Disputed areas follow recommended representation used by the UN Clear Map. UN agencies should use official layers at the UN Geospatial Hub.
  • 80+ Downloads
    Updated 12 May 2022 | Dataset date: May 11, 2022-May 19, 2022
    This dataset updates: Every month
    Conservative world view that dissagregates all disputed areas. Useful if applying customized area aggregations.
  • 20+ Downloads
    Updated 12 May 2022 | Dataset date: May 11, 2022-May 19, 2022
    This dataset updates: Every month
    Opinionated world view of the United States as represented in the original Large Scale International Boundaries (LSIB) layer. Regions such as Western Sahara and Kosovo are represented based on American recognition.
  • 30+ Downloads
    Updated 12 May 2022 | Dataset date: May 11, 2022-May 19, 2022
    This dataset updates: Every month
    Contains only shorline data, recommended for using with administrative divisions as point and line layers for cartographic applications.
  • 5400+ Downloads
    Updated 7 May 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.
  • 700+ Downloads
    Updated 7 May 2022 | Dataset date: January 04, 1999-May 19, 2022
    This dataset updates: Every day
    Reference historic FX rates quoted by the European Central Bank (ECB) converted to USD base currency. There are two resources - one with USD as the quote currency (more standard x/USD) and another with USD as the base currency (USD/x). Note that where the rate is 0 or NaN, it means that the currency existed in the past but no longer exists.
  • 9600+ Downloads
    Updated 7 May 2022 | Dataset date: March 10, 2020-May 19, 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
  • 70+ Downloads
    Updated 6 May 2022 | Dataset date: September 01, 2021-May 19, 2022
    This dataset updates: Every day
    This dataset contains World Bank COVID-19 Vaccine financing support, the Gavi COVID-19 Delivery Support (early access), and the GAVI CDS (early access) Disbursed for selected countries.
  • 70+ Downloads
    Updated 5 May 2022 | Dataset date: December 14, 2021-December 14, 2021
    This dataset updates: Every week
    Topline figures dataset for the Central Emergency Response Fund's organisation page