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  • 2600+ Downloads
    Updated 26 June 2022 | Dataset date: January 15, 2007-March 15, 2021
    This dataset updates: Every week
    This dataset contains Food Prices data for Indonesia, sourced from the World Food Programme Price Database. 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.
  • 300+ Downloads
    Updated 26 June 2022 | Dataset date: January 01, 2022-June 21, 2022
    This dataset updates: As needed
    1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
  • 4600+ Downloads
    Updated 26 June 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)
  • 10000+ Downloads
    Updated 26 June 2022 | Dataset date: June 26, 2022-June 26, 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.
  • 9700+ Downloads
    Updated 26 June 2022 | Dataset date: March 16, 2020-June 23, 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
  • 8200+ Downloads
    Updated Live | Dataset date: December 01, 2019-June 25, 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.
  • 100+ Downloads
    Updated 25 June 2022 | Dataset date: April 09, 2020-April 09, 2020
    This dataset updates: Every day
    This map displays continuously updated data from the USGS Earthquakes and Shakemaps. This map is provided by the Esri Disaster Response Program.
  • 800+ Downloads
    Updated 25 June 2022 | Dataset date: January 04, 1999-June 26, 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.
  • Updated 25 June 2022 | Dataset date: June 11, 2021-June 26, 2022
    This dataset updates: Every week
    South Sudan Weekly staple food price data collected by FEWS NET since 2021.
  • 80+ Downloads
    Updated 25 June 2022 | Dataset date: March 12, 2020-June 26, 2022
    This dataset updates: Every day
    Number of COVID-19 confirmed cases by region and date
  • 600+ Downloads
    Updated 25 June 2022 | Dataset date: March 03, 2022-June 26, 2022
    This dataset updates: Every day
    Key Figures extracted from Ukraine Flash Appeal, FTS and the daily Situation Reports.
  • 20+ Downloads
    Updated 25 June 2022 | Dataset date: May 06, 2020-May 06, 2020
    This dataset updates: Every day
    This includes layers for detectable thermal activity from VIIRS satellites for the last 7 days and MODIS satellites for the last 48 hours. VIIRS Thermal Hotspots and Fire Activity is a product of NASA’s Land, Atmosphere Near real-time Capability for EOS (LANCE) Earth Observation Data, while MODIS Global Fires is a product of NASA’s Earth Observing System Data and Information System (EOSDIS), both a part of NASA's Earth Science Data. EOSDIS integrates remote sensing and GIS technologies to deliver global MODIS hotspot/fire locations to natural resource managers and other stakeholders around the World. The application includes live feed sources for US wildfire reports (I-209), perimeters, MODIS hot spots, wildfire conditions / red flag warnings, wildfire potential and weather radar. Each of these layers provides insight into where a fire is located, its intensity and the surrounding areas susceptibility to wildfire.
  • 30+ Downloads
    Updated 25 June 2022 | Dataset date: May 05, 2020-May 05, 2020
    This dataset updates: Every day
    Living Atlas live feed sources for hurricane path, observed path, forecast path, and intensity of tropical cyclone activity (hurricanes, typhoons, cyclones) from the National Hurricane Center and Joint Typhoon Warning Center
  • 20+ Downloads
    Updated 25 June 2022 | Dataset date: May 06, 2020-May 06, 2020
    This dataset updates: Every day
    Live feed sources on severe weather across the United States. The Current Weather and Wind Station Data layer is created from hourly METAR station data provided from NOAA and contains approximately 11 weather variables for each location.
  • 1300+ Downloads
    Updated 25 June 2022 | Dataset date: January 01, 2019-June 26, 2022
    This dataset updates: Every day
    This dataset contains the number of confirmed cases, recoveries and deaths by province due to the Coronavirus pandemic in Afghanistan.
  • Updated 25 June 2022 | Dataset date: December 18, 2019-June 26, 2022
    This dataset updates: Every week
    Ethiopia Weekly staple food price data collected by FEWS NET since 2019.
  • 90+ Downloads
    Updated 25 June 2022 | Dataset date: March 13, 2020-June 26, 2022
    This dataset updates: Every day
    Number of COVID-19 confirmed cases by region and date
  • 2000+ Downloads
    Updated 24 June 2022 | Dataset date: April 28, 2021-June 26, 2022
    This dataset updates: Every year
    Burundi administrative level 0-2 sex and age disaggregated population statistics projected from 2008 to 2021. Available in normal five-year age groups and single and special age groups. REFERENCE YEAR: 2021 (projected from 2008) Dataset updated 2021. Population estimation done by UNFPA with Institut de Statistiques et d'Etudes Economiques du Burundi. These CSV tables are suitable for database or GIS linkage to the Burundi - Subnational Administrative Boundaries using the P-codes as keys. See caveats.
  • 300+ Downloads
    Updated 24 June 2022 | Dataset date: May 18, 2021-June 26, 2022
    This dataset updates: Every year
    Botswana administrative level 0-3 sex and age disaggregated 2021 population projections These tables are suitable for database or GIS linkage to the Botswana - Subnational Administrative Boundaries.
  • 1100+ Downloads
    Updated 24 June 2022 | Dataset date: December 10, 2020-June 26, 2022
    This dataset updates: Every year
    Bhutan administrative level 0-1 2021 and 2022 integrated sex and age disaggregated population statistics REFERENCE YEAR: 2021 The CSV tables are suitable for database or GIS linkage to the Bhutan - Subnational Administrative Boundaries boundaries.
  • 500+ Downloads
    Updated 24 June 2022 | Dataset date: November 28, 2019-June 26, 2022
    This dataset updates: Every year
    Barbados administrative level 0 (country) and 1 (parish) 2010 sex and age disaggregated population statistics REFERENCE YEAR: 2010 These tables are suitable for database or GIS linkage to the Barbados administrative level 0 (national) and 1 (parish) boundary polygons and lines.
  • 900+ Downloads
    Updated 24 June 2022 | Dataset date: May 22, 2019-June 26, 2022
    This dataset updates: Every year
    Bermuda administrative level 0 (country), 1 (parish), and 2 (municipality)* 2016 sex and age disaggregated population statistics REFERENCE YEAR: 2016 These tables are suitable for database or GIS linkage to the Bermuda administrative level 0-2 boundaries.
  • 700+ Downloads
    Updated 24 June 2022 | Dataset date: June 28, 2019-June 26, 2022
    This dataset updates: Every year
    Belize administrative level 0 (country) age and sex 2010 disaggregated population statistics Belize administrative level 1 (district) age and sex 2010 disaggregated population statistics Belize administrative level 2 (local government) sex 2010 disaggregated population statistics REFERENCE YEAR: 2010 The administrative level 0 and 1 tables are suitable for database and GIS linkage to the [Belize - Subnational Administrative Boundaries] Data extracted from the Belize Population and Housing Census Country Report 2010, Statistical Institute of Belize. Version history: 22 July 2019 Initial upload
  • 400+ Downloads
    Updated 24 June 2022 | Dataset date: February 21, 2020-June 26, 2022
    This dataset updates: Every year
    Saint Barthélemy administrative level 0 (overseas collectivity) and 1 (parish) 2016 sex and age disaggregated population statistics REFERENCE YEAR: 2016
  • 5100+ Downloads
    Updated 24 June 2022 | Dataset date: February 15, 2019-June 26, 2022
    This dataset updates: Every year
    Bangladesh administrative level 0-3 population statistics REFERENCE YEAR: 2011 17 November 2020 update: P-codes prefixed with 'BD' These population statistics tables are suitable for database or GIS linkage with the administrative level 0-2 Bangladesh - Subnational Administrative Boundaries shapefiles. (See caveats.)