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  • 9000+ Downloads
    Updated Live | Dataset date: December 01, 2019-September 28, 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.
  • 1000+ Downloads
    Updated 28 September 2022 | Dataset date: September 28, 2022-September 29, 2022
    This dataset updates: Every year
    Sao Tome and Principe administrative level 0-2 sex and age disaggregated 2022 projected population statistics REFERENCE YEAR: 2022 These tables are suitable for database or GIS linkage to the Sao Tome and Principe - Subnational Administrative Boundaries using the ADM0, ADM1, and ADM2_PCODE items.
  • 3000+ Downloads
    Updated 28 September 2022 | Dataset date: January 01, 2019-August 31, 2022
    This dataset updates: As needed
    This dataset includes incidents affecting the affecting the protection of IDPs and refugees. The data contains incidents identified in open sources. Categorized by country and with links to relevant Monthly News Brief.
  • 9200+ Downloads
    Updated 28 September 2022 | Dataset date: January 08, 2020-September 29, 2022
    This dataset updates: Every year
    Viet Nam administrative level 0 (country), 1 (province), and 2 (district) boundaries 27 October 2020 update: All instances of "Thura Thien Hue" [VN411] have been corrected to "Thua Thien Hue". This affects administrative levels 1 and 2 in the shapefiles, geodatabase, and the gazetteer. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. The boundaries are suitable for database or GIS linkage to the Viet Nam - Subnational Population Statistics tables.
  • 5400+ Downloads
    Updated 28 September 2022 | Dataset date: November 30, 2017-September 07, 2022
    This dataset updates: Every six months
    This Data is about IDP, returnees from CAR (previous IDP) and returnees from other countries repartition by origin and period of displacement and between 2013 and the date of assessment. Evaluation has been run in 6 prefectures (admin1), 16 sub-prefectures (admin2) and 367 localities.
  • 90+ Downloads
    Updated 28 September 2022 | Dataset date: January 01, 2022-June 30, 2022
    This dataset updates: Every three months
    This data is produced by OCHA Somalia in collaboration with humanitarian partners. It provides information on the worsening drought situation in Somalia in 2022. It indicates the drought response by clusters in this period
  • Updated 28 September 2022 | Dataset date: October 01, 2021-October 31, 2022
    This dataset updates: Every three months
    Drought Related Key Figures for Kenya
  • 20+ Downloads
    Updated 28 September 2022 | Dataset date: July 31, 2022-July 31, 2022
    This dataset updates: Every three months
    Drought affected areas and population in Ethiopia
  • 20+ Downloads
    Updated 28 September 2022 | Dataset date: October 01, 2021-October 31, 2022
    This dataset updates: Every three months
    Drought affected areas and population in Kenya
  • 10+ Downloads
    Updated 28 September 2022 | Dataset date: May 01, 2022-December 31, 2022
    This dataset updates: Every three months
    Drought affected areas and population in Somalia
  • Updated 28 September 2022 | Dataset date: May 01, 2022-December 31, 2022
    This dataset updates: Every three months
    Drought Related Key Figures for Somalia
  • 10+ Downloads
    Updated 28 September 2022 | Dataset date: July 31, 2022-July 31, 2022
    This dataset updates: Every three months
    Drought Related Key Figures for Ethiopia
  • Updated 28 September 2022 | Dataset date: October 01, 2017-December 01, 2017
    This data is by request only
    Child labour and education data collected from a sample of around 3000 households in cocoa-growing areas of Ghana in 2017. The dataset includes information on over 6000 children living in 138 communities, which was collected as part of a study to identify community-level characteristics associated with higher rates of child labour.
  • 500+ Downloads
    Updated 28 September 2022 | Dataset date: January 01, 1997-September 23, 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.
  • Updated 28 September 2022 | Dataset date: September 30, 2021-September 29, 2022
    This dataset updates: Every year
    A Mapping of educational institutions showing name and type of institution
  • 800+ Downloads
    Updated 28 September 2022 | Dataset date: January 01, 2022-September 27, 2022
    This dataset updates: Every week
    Number of Refugees returning to Afghanistan for the period of 01 January 2022 to 27 September 2022 by district of destination and origin.
  • 5800+ Downloads
    Updated 28 September 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)
  • 11000+ Downloads
    Updated 28 September 2022 | Dataset date: September 28, 2022-September 28, 2022
    This dataset updates: Every day
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
  • 80+ Downloads
    Updated Live | Dataset date: June 08, 2020-September 29, 2022
    This dataset updates: Live
    The IDMC’s Internal Displacement Updates (IDU) are preliminary estimates of new displacements reported in the last 180 days. The IDU API presents provisional data that is updated on daily basis, according to the availability of data. Curated and validated estimates are published in the Global Internal Displacement Database (GIDD) –See https://www.internaldisplacement.org/database/displacement-data. For a detailed description of methodology please refer to the IDMC GRID methodological annex (https://www.internal-displacement.org/global-report/grid2020/downloads/2020-IDMC-GRID-methodology.pdf) and IDMC’s monitoring guidelines (https://monitoringguidance.wixsite.com/idmc). The IDU dataset contains preliminary estimates of aggregated from diverse publishers or sources. New displacement estimates are provided for three different causes of internal displacement: disasters, conflict and violence, and development projects. The documentation of the API is available at bit.ly/IDU_API_DOC.
  • 10+ Downloads
    Updated 28 September 2022 | Dataset date: July 01, 2017-September 30, 2022
    This dataset updates: As needed
    The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
  • 80+ Downloads
    Updated 28 September 2022 | Dataset date: June 01, 2019-February 28, 2023
    This dataset updates: As needed
    The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
  • 100+ Downloads
    Updated Live | Dataset date: February 24, 2022-September 29, 2022
    This dataset updates: Live
    This dataset contains data obtained from a variety of sources and transformed into a form suitable for driving the Ukraine Data Explorer. The visual itself is driven by a JSON file which contains the same data as the resources in this dataset which point to published csvs from a Google spreadsheet.
  • 19000+ Downloads
    Updated Live | Dataset date: January 08, 2020-September 27, 2022
    This dataset updates: Live
    Coronavirus COVID-19 daily new and cumulative cases and deaths by country.
  • 4800+ Downloads
    Updated Live | Dataset date: December 16, 2020-September 26, 2022
    This dataset updates: Live
    The map and chart below show the number of COVID-19 vaccination doses administered per 100 people within a given population. Note that this does not measure the total number of people that have been vaccinated (which is usually two doses).
  • 300+ Downloads
    Updated 28 September 2022 | Dataset date: March 01, 2017-December 31, 2022
    This dataset updates: As needed
    The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.