• Updated Live | Dataset date: December 01, 2019-September 18, 2021
    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.
    6200+ Downloads
    This dataset updates: Live
  • Updated 18 September 2021 | Dataset date: March 10, 2020-September 16, 2021
    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
    7800+ Downloads
    This dataset updates: Every day
  • The "GRID3 Mauritania Settlement Extents, Version 01" supersedes "GRID3 Mauritania Settlement Extents Version 01, Alpha." The dataset consists of settlement extents across Mauritania, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous “GRID3 Mauritania Settlement Extents, Version 01 Alpha” product, with updates. Updates in this version include: a single settlement extent feature class (alpha version contains the same data in three separate feature class layers: BUAs, SSAs, and hamlets) and new population estimate fields (Population and Pop_UN_adj) for each settlement extent. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Mauritania Settlement Extents, Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-y2a9-ae68 . Accessed DAY MONTH YEAR.
    This dataset updates: As needed
  • Updated 17 September 2021 | Dataset date: October 15, 2020-September 19, 2021
    This bucket contains FAIR COVID-19 US county level forecast data
    2100+ Downloads
    This dataset updates: Every week
  • The "GRID3 Sudan Settlement Extents, Version 01" supersedes "GRID3 Sudan Settlement Extents Version 01, Alpha." The dataset consists of settlement extents across Sudan, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous “GRID3 Angola Settlement Extents, Version 01 Alpha” product, with updates. Updates in this version include: a single settlement extent feature class (alpha version contains the same data in three separate feature class layers: BUAs, SSAs, and hamlets) and new population estimate fields (Population and Pop_UN_adj) for each settlement extent. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Sudan Settlement Extents, Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-g6wn-jm94 . Accessed DAY MONTH YEAR.
    10+ Downloads
    This dataset updates: As needed
  • Updated 14 September 2021 | Dataset date: September 08, 2017-September 19, 2021
    Belize administrative level 0-1 boundaries These boundaries are suitable for database or GIS linkage to the level 0 and 1 Belize - Subnational Population Statistics. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
    700+ Downloads
    This dataset updates: Every year
  • The "GRID3 Burkina Faso Settlement Extents, Version 01" supersedes "GRID3 Burkina Faso Settlement Extents Version 01, Alpha." The dataset consists of settlement extents across Burkina Faso, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous “GRID3 Burkina Faso Settlement Extents, Version 01 Alpha” product, with updates. Updates in this version include: a single settlement extent feature class (alpha version contains the same data in three separate feature class layers: BUAs, SSAs, and hamlets) and new population estimate fields (Population and Pop_UN_adj) for each settlement extent. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Burkina Faso Settlement Extents, Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-19gx-rx22. Accessed DAY MONTH YEAR.
    20+ Downloads
    This dataset updates: As needed
  • Updated 13 September 2021 | Dataset date: January 01, 2020-September 19, 2021
    English Description - The following contains weekly operational data of hospitals in Venezuela, inventory of health supplies, administrative entity, geographic location and type of hospital. The collection of this data is a crowdsource effort under a survey template that provides an image of the current situation of hospitals in Venezuela Descripción en Español - Esta data contiene data semanal de las operaciones en los hospitales de Venezuela, inventario de suministro de salud, gerencia del hospital, zona geográfica y el tipo de hospital. El método de recolección de esta data es a través de múltiples fuentes voluntarias en el terreno en una encuesta estandarizada. La encuesta tiene como objetivo mostrar la situación actual de hospitales en Venezuela.
    200+ Downloads
    This dataset updates: Every week
  • Updated 13 September 2021 | Dataset date: August 18, 2021-September 19, 2021
    This bi-weekly dataset provides an overview of the latest areas of control in Yemen and includes a map, excel spreadsheet and GIS layer. All datasets are fully PCODED to Admin 2 district level, enabling interoperability with other datasets. Through understanding the latest areas of control, it is possible to enhance analysis in areas such as political-economy through adjusting tools to take into account the current geographic situation. This dataset forms part of the Yemen CrisisInsight product suite which includes the Yemen Core Dataset, Yemen: Crisis Impact Overview and Yemen Risk Overview.
    100+ Downloads
    This dataset updates: Every two weeks
  • Updated 10 September 2021 | Dataset date: January 1, 1899-January 1, 1899
    Overpass Service Query to extract from the live OpenStreetMap database the Settlement place names for Guinea, Liberia, Mali and Sierra Leone. OpenStreetMap Ebola Response These links launch the Overpass Turbo web application to extract live data. Data is downloaded automatically. Rename the file called "interpreter" for better documentation of the Query content. More information
    100+ Downloads
    This dataset updates: Every year
  • Updated 6 September 2021 | Dataset date: February 02, 2015-February 02, 2015
    Mali Settlements Populated places for Mali (Settlements, including villages) that include pcodes. Available in multiple formats that contains all admin levels, each comes with a quality report, and a look up table that idenitifes admin level information. There are duplicate names that have different pcodes, this accurate and has been verified. Admin COD datasets for Mali endorsed by IMWG depending in 2015; see metadata for description of cleaning and processing performed by ITOS.
    1300+ Downloads
    This dataset updates: Every year
  • Updated 6 September 2021 | Dataset date: January 01, 2018-January 01, 2019
    This dataset contains shapefiles for Guinea, Liberia, and Sierra Leone from the OpenStreetMap (OSM) project. Each country has its individual file. The dataset counts with contributions of hundreds of users. This dataset is updated daily. The original dataset can be downloaded from the OSM West Africa Ebola response wiki.
    1800+ Downloads
    This dataset updates: Never
  • Updated Live | Dataset date: January 01, 2008-September 19, 2021
    List of airports in Myanmar, with latitude and longitude. Unverified community data from http://ourairports.com/countries/MM/
    60+ Downloads
    This dataset updates: Live
  • Updated Live | Dataset date: January 01, 2008-September 19, 2021
    List of airports in Morocco, with latitude and longitude. Unverified community data from http://ourairports.com/countries/MA/
    40+ Downloads
    This dataset updates: Live
  • The "GRID3 South Africa Settlement Extents, Version 01" supersedes "GRID3 South Africa Settlement Extents Version 01, Alpha." The dataset consists of settlement extents across South Africa, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous “GRID3 South Africa Settlement Extents, Version 01 Alpha” product, with updates. Updates in this version include: a single settlement extent feature class (alpha version contains the same data in three separate feature class layers: BUAs, SSAs, and hamlets) and new population estimate fields (Population and Pop_UN_adj) for each settlement extent. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 South Africa Settlement Extents, Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-gj76-nz77 . Accessed DAY MONTH YEAR.
    10+ Downloads
    This dataset updates: As needed
  • The "GRID3 Zambia Settlement Extents, Version 01" supersedes "GRID3 Zambia Settlement Extents Version 01, Alpha." The dataset consists of settlement extents across Zambia, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous “GRID3 Zambia Settlement Extents, Version 01 Alpha” product, with updates. Updates in this version include: a single settlement extent feature class (alpha version contains the same data in three separate feature class layers: BUAs, SSAs, and hamlets) and new population estimate fields (Population and Pop_UN_adj) for each settlement extent. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Zambia Settlement Extents, Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-vc0a-nw10 . Accessed DAY MONTH YEAR.
    10+ Downloads
    This dataset updates: As needed
  • The "GRID3 Sierra Leone Settlement Extents, Version 01" supersedes "GRID3 Sierra Leone Settlement Extents Version 01, Alpha." The dataset consists of settlement extents across Sierra Leone, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous “GRID3 Sierra Leone Settlement Extents, Version 01 Alpha” product, with updates. Updates in this version include: a single settlement extent feature class (alpha version contains the same data in three separate feature class layers: BUAs, SSAs, and hamlets) and new population estimate fields (Population and Pop_UN_adj) for each settlement extent. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Sierra Leone Settlement Extents, Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-8b9g-9t04 . Accessed DAY MONTH YEAR.
    10+ Downloads
    This dataset updates: As needed
  • The "GRID3 Seychelles Settlement Extents, Version 01" supersedes "GRID3 Seychelles Settlement Extents Version 01, Alpha." The dataset consists of settlement extents across Seychelles, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous “GRID3 Seychelles Settlement Extents, Version 01 Alpha” product, with updates. Updates in this version include: a single settlement extent feature class (alpha version contains the same data in three separate feature class layers: BUAs, SSAs, and hamlets) and new population estimate fields (Population and Pop_UN_adj) for each settlement extent. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Seychelles Settlement Extents, Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-83eq-cj87 . Accessed DAY MONTH YEAR.
    This dataset updates: As needed
  • The "GRID3 São Tomé and Príncipe Settlement Extents, Version 01" supersedes "GRID3 São Tomé and Príncipe Settlement Extents Version 01, Alpha." The dataset consists of settlement extents across São Tomé and Príncipe, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous “GRID3 São Tomé and Príncipe Settlement Extents, Version 01 Alpha” product, with updates. Updates in this version include: a single settlement extent feature class (alpha version contains the same data in three separate feature class layers: BUAs, SSAs, and hamlets) and new population estimate fields (Population and Pop_UN_adj) for each settlement extent. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 São Tomé and Príncipe Settlement Extents, Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-d17x-0688 . Accessed DAY MONTH YEAR.
    This dataset updates: As needed
  • The "GRID3 Mauritius Settlement Extents, Version 01" supersedes "GRID3 Mauritius Settlement Extents Version 01, Alpha." The dataset consists of settlement extents across Mauritius, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous “GRID3 Mauritius Settlement Extents, Version 01 Alpha” product, with updates. Updates in this version include: a single settlement extent feature class (alpha version contains the same data in three separate feature class layers: BUAs, SSAs, and hamlets) and new population estimate fields (Population and Pop_UN_adj) for each settlement extent. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Mauritius Settlement Extents, Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-e0kc-an84 .Accessed DAY MONTH YEAR.
    This dataset updates: As needed
  • The "GRID3 Malawi Settlement Extents, Version 01" supersedes "GRID3 Malawi Settlement Extents Version 01, Alpha." The dataset consists of settlement extents across Malawi, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous “GRID3 Malawi Settlement Extents, Version 01 Alpha” product, with updates. Updates in this version include: a single settlement extent feature class (alpha version contains the same data in three separate feature class layers: BUAs, SSAs, and hamlets) and new population estimate fields (Population and Pop_UN_adj) for each settlement extent. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Malawi Settlement Extents, Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-vnzf-nx30 . Accessed DAY MONTH YEAR.
    10+ Downloads
    This dataset updates: As needed
  • The "GRID3 Mozambique Settlement Extents, Version 01" supersedes "GRID3 Mozambique Settlement Extents Version 01, Alpha." The dataset consists of settlement extents across Mozambique, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous “GRID3 Mozambique Settlement Extents, Version 01 Alpha” product, with updates. Updates in this version include: a single settlement extent feature class (alpha version contains the same data in three separate feature class layers: BUAs, SSAs, and hamlets) and new population estimate fields (Population and Pop_UN_adj) for each settlement extent. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Mozambique Settlement Extents, Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-m2sf-ha59 . Accessed DAY MONTH YEAR.
    10+ Downloads
    This dataset updates: As needed
  • The "GRID3 Madagascar Settlement Extents, Version 01" supersedes "GRID3 Madagascar Settlement Extents Version 01, Alpha." The dataset consists of settlement extents across Madagascar, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous “GRID3 Madagascar Settlement Extents, Version 01 Alpha” product, with updates. Updates in this version include: a single settlement extent feature class (alpha version contains the same data in three separate feature class layers: BUAs, SSAs, and hamlets) and new population estimate fields (Population and Pop_UN_adj) for each settlement extent. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Madagascar Settlement Extents, Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-w4zk-mw84 . Accessed DAY MONTH YEAR.
    This dataset updates: As needed
  • The "GRID3 Gabon Settlement Extents, Version 01" supersedes "GRID3 Gabon Settlement Extents Version 01, Alpha." The dataset consists of settlement extents across Gabon, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous “GRID3 Gabon Settlement Extents, Version 01 Alpha” product, with updates. Updates in this version include: a single settlement extent feature class (alpha version contains the same data in three separate feature class layers: BUAs, SSAs, and hamlets) and new population estimate fields (Population and Pop_UN_adj) for each settlement extent. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Gabon Settlement Extents, Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-efk3-at93 . Accessed DAY MONTH YEAR.
    10+ Downloads
    This dataset updates: As needed
  • The "GRID3 Democratic Republic of the Congo Settlement Extents, Version 01" supersedes "GRID3 Democratic Republic of the Congo Settlement Extents Version 01, Alpha." The dataset consists of settlement extents across Democratic Republic of the Congo, as well as accompanying population estimates for each settlement extent. This data product contains all information contained in the previous “GRID3 Democratic Republic of the Congo Settlement Extents, Version 01 Alpha” product, with updates. Updates in this version include: a single settlement extent feature class (alpha version contains the same data in three separate feature class layers: BUAs, SSAs, and hamlets) and new population estimate fields (Population and Pop_UN_adj) for each settlement extent. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Democratic Republic of the Congo Settlement Extents, Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-j86k-nz49 . Accessed DAY MONTH YEAR.
    10+ Downloads
    This dataset updates: As needed