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  • 8000+ Downloads
    Time Period of the Dataset [?]: January 01, 1948-March 19, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 27 March 2018
    This dataset updates: As needed
    A list of all past and present United Nations Peacekeeping Operations with coordinates of their headquarters and mandate dates.
  • 3800+ Downloads
    Time Period of the Dataset [?]: January 01, 1948-March 19, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 27 March 2018
    This dataset updates: Every day
    This dataset provides figures on staff and peacekeeper fatalities in Peacekeeping and Special Political Missions from 1948-Present, based on the receipt of official Notifications of Peacekeeper Casualties (NOTICAS). The dataset specifies details such as casualty mission, casualty nationality and type of incident.
  • Time Period of the Dataset [?]: January 01, 1948-March 19, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 2 February 2024
    This dataset updates: Every day
    This dataset provides figures on police fatalities in Peacekeeping and Special Political Missions from 1948-Present, based on the receipt of official Notifications of Peacekeeper Casualties (NOTICAS). The dataset specifies details such as casualty mission, casualty nationality and type of incident.
  • Time Period of the Dataset [?]: January 01, 2008-March 19, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 2 February 2024
    This dataset updates: Every three months
    This dataset is part of the data series [?]: UN Peace and Security Data Hub - Peace and Security Data
    A summary of provisions in decisions (resolutions and presidential statements) of the Security Council since 2000 containing one or more of a set of curated keywords related to Women and Peace and Security (WPS). The dataset populates the dashboard available on the public website.
  • Time Period of the Dataset [?]: June 26, 1946-March 19, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 2 February 2024
    This dataset updates: As needed
    This dataset is part of the data series [?]: UN Peace and Security Data Hub - Peace and Security Data
    The dataset provides an overview of all vetoes cast by the five permanent members of the Security Council since 1946 in accordance with Article 27 (3) of the United Nations Charter. Data on vetoes are visualized by year, permanent members and top 15 topics. A detailed table featuring all individual vetoes with links to relevant records is also included. The dataset is updated on a rolling basis. Data includes vetoes on draft resolutions, parts of outcome documents (amendments and individual paragraphs) as well as decisions on whether or not a vote can be considered to be procedural. Topics are based on agenda items and are simplified for information purposes only, without prejudice to the formal items of which the Security Council is/was seized.
  • Time Period of the Dataset [?]: March 01, 1964-March 19, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 2 February 2024
    This dataset updates: As needed
    This dataset is part of the data series [?]: UN Peace and Security Data Hub - Peace and Security Data
    A list of all past and present United Nations Political Missions with coordinates of their headquarters and mandate dates.
  • Time Period of the Dataset [?]: January 01, 1947-March 19, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 2 February 2024
    This dataset updates: Every three months
    This dataset is part of the data series [?]: UN Peace and Security Data Hub - Peace and Security Data
    The Language of Peace (LoP) data base of peace agreements is a key component of United Nations Mediation Support Unit’s online mediation support capacity. The database has been co-developed with Cambridge University. It is an innovative tool to search provisions of peace agreements providing easy access to compare and collate language on key issues across 75,000+ provisions of around 1,000 peace agreements.
  • 100+ Downloads
    Time Period of the Dataset [?]: June 26, 1992-March 31, 2029 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 13 March 2023
    This dataset updates: Every week
    This dataset is part of the data series [?]: IFRC - Appeals
    The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity. We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways. This data can also be found as individual country datasets on HDX.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2021-March 19, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 27 February 2023
    This dataset updates: Every month
    The dataset tracks protection events on a global level, using various publicly available sources, including – but not limited to – local, regional, and international operational and non-operational humanitarian organisations; UN agencies; media; and social media platforms. Data is collected and reviewed regularly, and the dataset is continuously updated. Methodology ACAPS has identified categories for tracking ‘protection events’, including one-time events, policies, and recurrent violations. Protection events are those that impede people’s meaningful access to humanitarian assistance and their rights, safety, and dignity. These events may impose violence, coercion, or deliberate deprivation​. In the table below, we present the list of protection indicators and their scope. The Protection Indicators Monitor Dataset provides information relevant to the main protection threats, vulnerabilities, and coping strategies of affected populations and the existing capacities to address them. It informs decision makers and humanitarian responders about potential protection risks to the affected people and/or their service operations.
  • 60+ Downloads
    Time Period of the Dataset [?]: October 01, 2022-March 19, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 24 May 2023
    This dataset updates: Every month
    ACAPS Information Landscape Dataset is a repository of data on the information landscape (or ‘information ecosystem’) in humanitarian settings, tracking the events and trends that affect the way information is handled, circulated and received by people affected in crisis settings. It aims to inform the users about: information disorders (disinformation, misinformation, malinformation) vulnerability of specific groups within the context / safety and dignity of people accessing information (stigma trends, hate-speech) access to information (telecommunication infrastructures damage or limitation, accurate information access, information trust and literacy, digital literacy) information freedom and security (journalist safety, censorship, digital security, communication shutdown and restrinctions) The dataset aims to inform humanitarian actors and analyst, on how to handle information and how to approach the information coming from specific context, to provide some useful insights on how to communicate in specific context, both publicly and with population affected, and how the population receives information. The framework was develop by a partnership between ACAPS and Internews.
  • 100+ Downloads
    Time Period of the Dataset [?]: October 11, 2022-March 19, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 11 October 2022
    This dataset updates: Every month
    ACAPS Humanitarian Access Events Monitoring Dataset tracks humanitarian access events on a global level, using various publicly available sources. Data is collected and reviewed regularly, and the dataset is continuously updated and collected at countrywide level or administrative level 1. This dataset presents broad coverage of the reported information to flag events that may affect access to the aid and basic services that humanitarian responders provide. The goal is to inform and support evidence-based decision-making in the humanitarian sector. For more information, please check Codebook: https://www.acaps.org/sites/acaps/files/products/files/20220920_acaps_global_analysis_hub_humanitarian_access_events_monitoring_codebook_0.pdf Methodology note: https://www.acaps.org/fileadmin/Technical_notes/20211207_acaps_humanitarian_access_methodology_note_december_2021.pdf Website: https://www.acaps.org/en/data
  • 900+ Downloads
    Time Period of the Dataset [?]: December 31, 2010-March 19, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 20 April 2023
    This dataset updates: Every month
    CSV containing subnational p-codes, their corresponding administrative names, parent p-codes, and reference dates for the world (where available). These are constructed using the COD gazetteers or in the case those are not available, from the COD administrative boundaries.
  • 700+ Downloads
    Time Period of the Dataset [?]: January 01, 1997-March 08, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 2 December 2021
    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.
  • 800+ Downloads
    Time Period of the Dataset [?]: January 01, 1997-March 08, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 2 December 2021
    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.
  • 700+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-October 31, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 27 April 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: IPC - Acute Food Insecurity Classification
    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. There are also country datasets
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 1997-February 23, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 2 December 2021
    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.
  • 2800+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-March 11, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 20 May 2020
    This dataset updates: Every week
    Aggregated figures for Natural Disasters in EM-DAT Documentation on the Country Profiles available here 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)
  • 300+ Downloads
    Time Period of the Dataset [?]: November 01, 2012-March 19, 2024 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 15 November 2022
    This dataset updates: Live
    The Aid Worker Security Database (AWSD) records major incidents of violence against aid workers, with incident reports from 1997 through the present. Initiated in 2005, to date the AWSD remains the sole comprehensive global source of these data, providing the evidence base for analysis of the changing security environment for civilian aid operations.
  • 3800+ Downloads
    Time Period of the Dataset [?]: January 15, 1990-March 15, 2024 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 27 August 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Prices
    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.
  • Time Period of the Dataset [?]: October 01, 2022-March 19, 2024 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 2 February 2024
    This dataset updates: Every day
    A list of Government-Provided Justice and Corrections Personnel across peacekeeping operations and special political missions by gender and contributing country.
  • 50+ Downloads
    Time Period of the Dataset [?]: December 14, 2021-December 14, 2021 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 3 January 2017
    This dataset updates: Every week
    Topline figures dataset for the Central Emergency Response Fund's organisation page
  • 200+ Downloads
    Time Period of the Dataset [?]: June 19, 2022-June 19, 2022 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 21 October 2016
    This dataset updates: Every week
    This dataset lists all contributions made by donors to the Central Emergency Response Fund (CERF). CERF receives broad support from United Nations Member States, observers, regional governments and international organizations, and the private sector, including corporations, non-governmental organizations and individuals.
  • 23000+ Downloads
    Time Period of the Dataset [?]: January 08, 2020-December 31, 2023 ... More
    Modified [?]: 17 March 2024
    Dataset Added on HDX [?]: 15 April 2020
    This dataset updates: Every week
    Coronavirus COVID-19 daily new and cumulative cases and deaths by country.
  • 7300+ Downloads
    Time Period of the Dataset [?]: December 01, 2019-March 12, 2024 ... More
    Modified [?]: 16 March 2024
    Dataset Added on HDX [?]: 27 March 2020
    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 Concentric by Ginkgo, the biosecurity and public health unit of Ginkgo Bioworks ("Concentric”) at help-epi-modeling@ginkgobioworks.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 Concentric’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. Concentric maintains a database of epidemiological information for over three thousand high-priority infectious disease events (please note: this database was previously maintained by Metabiota; the team responsible joined Concentric by Ginkgo in August 2022. When using the database, please cite Concentric and refer to this repository). Please contact us (help-epi-modeling@ginkgobioworks.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 "Multisource Fusion" 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, Concentric compiles multiple sources to generate the most comprehensive view of an outbreak. This compilation is stored in the database under the source name "Multisource Fusion". 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, Concentric does not incorporate unofficial - including media - sources into the "Multisource Fusion" 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 The information is provided “AS IS” and Concentric makes no representations or warranties, express or implied, of any type whatsoever including, without limitation, title, noninfringement, accuracy, completeness, merchantability, or fitness for any particular purpose. Use of proprietary information shall be at the user’s own risk, and Concentric assumes no liability or obligation to the user as a result of use. Concentric shall in no event be liable for any decision taken by the user based on the data made available. Under no circumstances, shall Concentric 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.
  • 60+ Downloads
    Time Period of the Dataset [?]: May 06, 2020-May 06, 2020 ... More
    Modified [?]: 16 March 2024
    Dataset Added on HDX [?]: 6 May 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.