Data [18149]
  • Updated November 25, 2020 | Dataset date: Nov 25, 2020
    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.
    6800+ Downloads
    This dataset updates: Every day
  • No abstract provided
    40+ Downloads
    This dataset updates: As needed
  • Updated November 25, 2020 | Dataset date: Jan 1, 1997-Dec 31, 2020
    The ACLED project codes reported information on the type, agents, exact location, date, and other characteristics of political violence events, demonstrations and select politically relevant non-violent events. ACLED focuses on tracking a range of violent and non-violent actions by political agents, including governments, rebels, militias, communal groups, political parties, external actors, rioters, protesters and civilians. Data contain specific information on the date, location, group names, interaction type, event type, reported fatalities and contextual notes.
    300+ Downloads
    This dataset updates: Every week
  • Updated Live | Dataset date: Jan 1, 2019-Jan 1, 2020
    Live list of active aid activities for Romania shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org
    This dataset updates: Live
  • Updated November 25, 2020 | Dataset date: Mar 10, 2020-Nov 23, 2020
    This data has been collected from various sources and is displayed in this online dashboard: http://arcg.is/uHyuO Mobile version: http://arcg.is/0q8Xfj 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
    5300+ Downloads
    This dataset updates: Every day
  • Updated November 25, 2020 | Dataset date: Nov 23, 2020
    This dataset contains the number of confirmed cases, recoveries and deaths by Governorate due to the Coronavirus pandemic in Palestine.
    100+ Downloads
    This dataset updates: Every day
  • Updated November 25, 2020 | Dataset date: May 29, 2019
    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.
    100+ Downloads
    This dataset updates: Every day
  • Updated November 25, 2020 | Dataset date: Nov 24, 2020
    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.
    3600+ Downloads
    This dataset updates: Every day
  • Updated November 25, 2020 | Dataset date: Aug 1, 2020
    The COVID-19 preventative health survey is designed to help policymakers and health researchers better monitor and understand people’s knowledge, attitudes and practices about COVID-19 to improve communications and their response to the pandemic.
    100+ Downloads
    This dataset updates: As needed
  • Updated November 25, 2020 | Dataset date: Jan 1, 2019-Nov 24, 2020
    This dataset contains the number of confirmed cases, recoveries and deaths by province due to the Coronavirus pandemic in Afghanistan.
    400+ Downloads
    This dataset updates: Every day
  • Yearly biomass Production and anomalies retrieved from DMP and computed by BioGenerator The data used comes from the data generated by the COPERNICUS terrestrial service, the European Commission's Earth observation programme. The research that led to the current version of the product has received funding from various research and technical development programmes of the European Commission. The product is based on data from PROBA-V (©) and SPOT-VEGETATION (©) ESA
    400+ Downloads
    This dataset updates: Every year
  • Total Biomass Production (tonnes of dry matter) for Admin 0, Admin 1 and Admin 2 Levels for years from 1998 to 2020. Yearly biomass Production and anomalies retrieved from DMP and computed by BioGenerator The data used comes from the data generated by the COPERNICUS terrestrial service, the European Commission's Earth observation programme. The research that led to the current version of the product has received funding from various research and technical development programmes of the European Commission. The product is based on data from PROBA-V (©) and SPOT-VEGETATION (©) ESA
    20+ Downloads
    This dataset updates: Every year
  • These data are collected by sentinel sites in Mali, Burkina-Faso, Senegal and Niger. They provide weekly data on water availability, market prices, animal diseases and pasture conditions. The data are agregated at the end of a 2-months period and published via (1) a bulletin available on www.sigsahel.info website and maps available on a mapping platform : www.geosahel.info. These dataset are the summary of the data collected by sentinel sites over period of August and September 2020.
    This dataset updates: Never
  • Updated November 24, 2020 | Dataset date: Feb 15, 2018
    Tracking Live Stock, Malawi conducted with Croddroning by GLOBHE. More maps and data available on demand upon request from locations globally. Full GeoTIF file available for download on request. Contact globhe@globhe.com for download link. To request drone data on demand at global scale make your request at: https://globhe.com/drone-data-request MORE CROWDDRONING BY GLOBHE Webb: https://globhe.com/ Facebook: https://www.facebook.com/Crowddroning Twitter: https://twitter.com/globhedrones Instagram: https://www.instagram.com/globhedrones/ LinkedIn: https://www.linkedin.com/company/globhedrones/
    This dataset updates: As needed
  • Updated November 24, 2020 | Dataset date: May 8, 2020
    Tracking Natural Disaster, Fiji conducted with Croddroning by GLOBHE. More maps and data available on demand upon request from locations globally. Full GeoTIF file available for download on request. Contact globhe@globhe.com for download link. To request drone data on demand at global scale make your request at: https://globhe.com/drone-data-request MORE CROWDDRONING BY GLOBHE Webb: https://globhe.com/ Facebook: https://www.facebook.com/Crowddroning Twitter: https://twitter.com/globhedrones Instagram: https://www.instagram.com/globhedrones/ LinkedIn: https://www.linkedin.com/company/globhedrones/
    This dataset updates: As needed
  • Updated November 24, 2020 | Dataset date: Jun 14, 2018
    Tracking Malaria, Malawi conducted with Croddroning by GLOBHE. More maps and data available on demand upon request from locations globally. Full GeoTIF file available for download on request. Contact globhe@globhe.com for download link. To request drone data on demand at global scale make your request at: https://globhe.com/drone-data-request MORE CROWDDRONING BY GLOBHE Webb: https://globhe.com/ Facebook: https://www.facebook.com/Crowddroning Twitter: https://twitter.com/globhedrones Instagram: https://www.instagram.com/globhedrones/ LinkedIn: https://www.linkedin.com/company/globhedrones/
    This dataset updates: As needed
  • Updated November 24, 2020 | Dataset date: Jan 1, 2000-Dec 31, 2020
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674
    This dataset updates: Every year
  • Updated November 24, 2020 | Dataset date: May 10, 2020
    Tracking Connectivity, globally conducted with Croddroning by GLOBHE. More maps and data available on demand upon request from locations globally. Full GeoTIF file available for download on request. Contact globhe@globhe.com for download link. To request drone data on demand at global scale make your request at: https://globhe.com/drone-data-request MORE CROWDDRONING BY GLOBHE Webb: https://globhe.com/ Facebook: https://www.facebook.com/Crowddroning Twitter: https://twitter.com/globhedrones Instagram: https://www.instagram.com/globhedrones/ LinkedIn: https://www.linkedin.com/company/globhedrones/
    This dataset updates: As needed
  • Updated November 24, 2020 | Dataset date: Nov 24, 2020
    Azerbaijan administrative level 0-1 boundaries. REFERENCE YEAR: 2018 Place codes and names in Azerbaijani were taken from official site of The State Statistical Committee of the Republic of Azerbaijan (İnzibati-ərazi bolgüsü təsnifati, 2013). All place codes of the admin1 units, except for Baku and Nakhchivan, are unofficial. Names in English were taken from Statistical Yearbook of Azerbaijan 2016. Boundary geography is provided for administrative level 0 (country) and administrative level 1 (districts and independent cities, consolidating Baku as one feature. Gazetteer information is also provided for economic regions (positioned between administrative level 0 and 1) and for the set of districts and independent cities that include 11 features for Baku. All four of these sets are represented and can be linked by database or GIS to the https://data.humdata.org/dataset/azerbaijan-population-statistics tables.
    1000+ Downloads
    This dataset updates: Every year
  • Updated November 24, 2020 | Dataset date: Jan 1, 2019-Oct 31, 2020
    Data contains: - Monthly full details data sets for IDP movements and spontaneous IDP returns estimations. - In each file there is summary table for IDP arrival estimations at governorates level since January-2016. - In each file there is summary table for spontaneous IDP returns estimations at governorates level since August-2018.
    2800+ Downloads
    This dataset updates: Every month
  • Updated November 24, 2020 | Dataset date: May 20, 2020
    Drone seagrass mapping, Panglao, the Philippines conducted with Croddroning by GLOBHE. More maps and data available on demand upon request from locations globally. Full GeoTIF file available for download on request. Contact globhe@globhe.com for download link. To request drone data on demand at global scale make your request at: https://globhe.com/drone-data-request MORE CROWDDRONING BY GLOBHE Webb: https://globhe.com/ Facebook: https://www.facebook.com/Crowddroning Twitter: https://twitter.com/globhedrones Instagram: https://www.instagram.com/globhedrones/ LinkedIn: https://www.linkedin.com/company/globhedrones/
    This dataset updates: As needed
  • Updated November 24, 2020 | Dataset date: Oct 20, 2020
    Tracking water pollution, Sweden conducted with Croddroning by GLOBHE. More maps and data available on demand upon request from locations globally. Full GeoTIF file available for download on request. Contact globhe@globhe.com for download link. To request drone data on demand at global scale make your request at: https://globhe.com/drone-data-request MORE CROWDDRONING BY GLOBHE Webb: https://globhe.com/ Facebook: https://www.facebook.com/Crowddroning Twitter: https://twitter.com/globhedrones Instagram: https://www.instagram.com/globhedrones/ LinkedIn: https://www.linkedin.com/company/globhedrones/
    This dataset updates: As needed
  • Updated November 24, 2020 | Dataset date: Oct 29, 2020
    Repository for PDF files used on https://centre.humdata.org/
    600+ Downloads
    This dataset updates: As needed
  • 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.
    3400+ Downloads
    This dataset updates: Live
  • Updated November 24, 2020 | Dataset date: Jan 1, 2015-Dec 31, 2019
    This dataset with visualisation brings together data from a range of sources to provide a greater overall and comparative changes of the Yemen situation and context in past five years at country level. The indicators are selected based on the avialablity of data and based on ACAPS analytical framework specified in ACAPS core data set product from Yemen. When analysing and interpreting the data, please be aware that some indicators are tablulated at monthly and some are in Yearly based on data avilability and nature of indicator. There are major impediments on collecting information in Yemen. Therefore, this dataset has been given a ‘Medium’ reliability ranking by the ACAPS analyst team. The Yemen Analyst Hub recommends that this dataset is used only as a starting point. It will enable you to quickly see the five years trend in Yemen crisis. However, for operational decision making, we recommend you check the sources of data and cosult with data sourced organisation and frontline workers.
    200+ Downloads
    This dataset updates: As needed