AndreaBozzo/ceres-open-data-index huggingface dataset:
Mozambique - Age and gender structures

<b>WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. 
Please make sure you have read our <a href="/methods/populations" target="_blank">Mapping Populations</a> overview page before choosing and downloading a dataset.</b> 
<br/><br/>   

A description of the modelling methods used for age and gender structures can be found in 
<a href="https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-11-11" target="_blank">
Tatem et al</a> and 
<a href="https://dx.doi.org/10.1038/sdata.2017.89" target="_blank">Pezzulo et al</a>. Details of the input population count datasets used can be found <a href="https://www.worldpop.org/project/categories?id=3" target="_blank">here</a>, and age/gender structure proportion datasets <a href="https://www.portal.worldpop.org/demographics/data/global_agegender_proportions_totals_2020.zip" target="_blank">here</a>. 
<br/>
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined 
<a href="/methods/top_down_constrained_vs_unconstrained" target="_blank">here</a>. The  datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.  
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.  
Data for earlier dates is available directly from WorldPop.  
  
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/WP00646

Tags: baseline population, demographics, geodata
Organization: WorldPop
Argentina - Population Density

<b>WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. 
Please make sure you have read our <a href="https://www.worldpop.org/methods/populations" target="_blank">Mapping Populations</a> overview page before choosing and downloading a dataset.</b> 
<br/><br/>
Datasets are available to download in Geotiff and ASCII XYZ format at a <u>resolution of 30 arc-seconds (approximately 1km at the equator)</u>
<br/> 

-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding 
<a href="https://www.worldpop.org/geodata/listing?id=29">Unconstrained individual countries 2000-2020 population count datasets</a> by dividing the number of people in each pixel by the pixel surface area. 
These are produced using the <a href="https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained">unconstrained top-down modelling method</a>.
<br/> 
-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 
<a href="https://www.worldpop.org/geodata/listing?id=69">Unconstrained individual countries 2000-2020 population UN adjusted count datasets</a> 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 <a href="https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained">unconstrained top-down modelling method</a>.
  
Data for earlier dates is available directly from WorldPop.  
  
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

Tags: baseline population, geodata
Organization: WorldPop
Burkina Faso - Population Density

<b>WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. 
Please make sure you have read our <a href="https://www.worldpop.org/methods/populations" target="_blank">Mapping Populations</a> overview page before choosing and downloading a dataset.</b> 
<br/><br/>
Datasets are available to download in Geotiff and ASCII XYZ format at a <u>resolution of 30 arc-seconds (approximately 1km at the equator)</u>
<br/> 

-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding 
<a href="https://www.worldpop.org/geodata/listing?id=29">Unconstrained individual countries 2000-2020 population count datasets</a> by dividing the number of people in each pixel by the pixel surface area. 
These are produced using the <a href="https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained">unconstrained top-down modelling method</a>.
<br/> 
-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 
<a href="https://www.worldpop.org/geodata/listing?id=69">Unconstrained individual countries 2000-2020 population UN adjusted count datasets</a> 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 <a href="https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained">unconstrained top-down modelling method</a>.
  
Data for earlier dates is available directly from WorldPop.  
  
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

Tags: baseline population, geodata
Organization: WorldPop
Satellite-detected water extents  in Ifotaka Commune, Amboasary-Atsimo District, Anosy Region, as of 28 February 2022

**UNOSAT code: TC20220221MDG**  This map illustrates satellite-detected surface waters in Ifotaka commune, Amboasary-Atsimo district, Anosy region, Madagascar as observed from an RCM-2 image acquired on 28 February 2022 at 05:16  local time. Within the analyzed area of about 330 km2, about 13 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 650 people are potentially exposed or living close to flooded areas.

This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.


Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Coastal proximity of populations in 22 Pacific Island Countries and Territories - Dataset - Niue

Spatial datasets utilized to conduct the spatial analysis and additional information from the research article: Coastal proximity of populations in 22 Pacific Island Countries and Territories. 
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223249
https://sdd.spc.int/mapping-coastal


_Access this dataset from the [Pacific Data Hub](https://pacificdata.org/data/dataset/coastal-population-dataset-niu)_

Tags: demographics, population
Organization: Pacific Community
Satellite-detected water extents in Farafangana and Vondrozo Districts, Atsimo Atsinanana Region as of 24 Feb. 2022

**UNOSAT code: TC20220221MDG**  This map illustrates satellite-detected surface waters in Farafangana and Vondrozo Districts, Atsimo Atsinanana Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00  local time. Within the analyzed area of about 1,000 km2, about 110 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 12,000 people are potentially exposed or living close to flooded areas.

This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).


Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Affected Mining Areas along Kapuas River, Central Kalimantan, Indonesia

This map illustrates affected mining areas along Kapuas River in Central Kalimantan Province, Indonesia. It is derived from Landsat-5 and Landsat-8 multispectral imagery acquired on 7 August 2005 and 3 August 2015 respectively at 30 meter pixel resolution. Affected mining areas are comprised of the exposed sands/mining and affected waters/mining pits land cover classes. The inset table summarizes the total affected mining area as of 7 August 2005 and 3 August 2015 within the region analyzed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Google Mobility Report

While communities around the world face COVID-19, health authorities have revealed the same type of aggregated and anonymized information that they use in products like Google Maps could help them make fundamental decisions to combat COVID-19.

The purpose of these Local Mobility Reports is to provide valuable information on the changes that have occurred in the mobility of people as a consequence of the policies that have been established to combat COVID - 19. These reports detail the movement trends as Over time arranged by geographical areas and classified into various categories of places, such as shops and leisure spaces, supermarkets and pharmacies, parks, public transport stations, workplaces and residential areas.

More information in: https://www.google.com/covid19/mobility/

Tags: covid-19, demographics
Organization: iMMAP Inc.
Geodata of Land Cover Classification along Kapuas River, Central Kalimantan, Indonesia

This map illustrates a land cover classification along Kapuas River in Central Kalimantan Province, Indonesia. It is derived from Landsat-8 multispectral imagery acquired on 3 August 2015 at 30 meter pixel resolution. The classification is divided into seven main classes: dense vegetation/forest, shrub/disturbed forest, agricultural areas, water, exposed sands/mining, affected waters/mining pits, and exposed soils. The inset table summarizes the total area for each class in the region analyzed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage assessment in City of Talisay municipality, Cebu Province, Region VII, Philippines as of 21 December 2021

**UNOSAT code: TC20211216PHL**  This map illustrates potentially damaged structures and buildings in City of Talisay, Cebu province, Region VII (Central Visayas), Philippines as observed from a GeoEye-1 image acquired on 20 December 2021 & a Pleiades image acquired on 21 December 2021. Within the analyzed area, UNOSAT identified 483 damaged structures.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in North Gaza as of 20 May 2021

**UNOSAT code: CE20210515PSE**  This map illustrates a rapid satellite imagery based building damage analysis within an area of Gaza and North Gaza Governorates, Gaza Strip, Occupied Palestinian Territory based on an image collected on 20 May 2021. According to satellite imagery analysis, there are visible 23 impact craters to roads, 331 destroyed or damaged buildings, and 131 areas of possible damage on the road or road-blocking debris. According to publicly available data about 12 health care facilities and more than 40 educational facilities are located within 100 meters of damaged areas and are shown on the map. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.


Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters in Albay and Camarines Sur Provinces, Bicol Region of Philippines as of 12 November 2020

**UNOSAT code: TC20201111PHL**  This map illustrates satellite-detected surface waters in Albay and Camarines Sur provinces of Philippines as observed from a Sentinel-1 image acquired on 12 November 2020 at 05:38 local time. Within the analyzed area of about 5,000 km2, a total of about 250 km2 of lands appear to be flooded. The water extent appears to have increased of about 130 km2 since 6 November 2020. Based on Worldpop population data and the detected surface waters, about 170,000 people are potentially exposed or living close to flooded areas. 
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Afghanistan - Age and gender structures

<b>WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. 
Please make sure you have read our <a href="/methods/populations" target="_blank">Mapping Populations</a> overview page before choosing and downloading a dataset.</b> 
<br/><br/>   

A description of the modelling methods used for age and gender structures can be found in 
<a href="https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-11-11" target="_blank">
Tatem et al</a> and 
<a href="https://dx.doi.org/10.1038/sdata.2017.89" target="_blank">Pezzulo et al</a>. Details of the input population count datasets used can be found <a href="https://www.worldpop.org/project/categories?id=3" target="_blank">here</a>, and age/gender structure proportion datasets <a href="https://www.portal.worldpop.org/demographics/data/global_agegender_proportions_totals_2020.zip" target="_blank">here</a>. 
<br/>
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined 
<a href="/methods/top_down_constrained_vs_unconstrained" target="_blank">here</a>. The  datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.  
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.  
Data for earlier dates is available directly from WorldPop.  
  
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/WP00646

Tags: baseline population, demographics, geodata
Organization: WorldPop
Jersey - Age and gender structures

<b>WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. 
Please make sure you have read our <a href="/methods/populations" target="_blank">Mapping Populations</a> overview page before choosing and downloading a dataset.</b> 
<br/><br/>   

A description of the modelling methods used for age and gender structures can be found in 
<a href="https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-11-11" target="_blank">
Tatem et al</a> and 
<a href="https://dx.doi.org/10.1038/sdata.2017.89" target="_blank">Pezzulo et al</a>. Details of the input population count datasets used can be found <a href="https://www.worldpop.org/project/categories?id=3" target="_blank">here</a>, and age/gender structure proportion datasets <a href="https://www.portal.worldpop.org/demographics/data/global_agegender_proportions_totals_2020.zip" target="_blank">here</a>. 
<br/>
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined 
<a href="/methods/top_down_constrained_vs_unconstrained" target="_blank">here</a>. The  datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.  
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.  
Data for earlier dates is available directly from WorldPop.  
  
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/WP00646

Tags: baseline population, demographics, geodata
Organization: WorldPop
Potentially affected areas SE Semeru mount in East Java, Indonesia

**UNOSAT code VO20221206IDN, GDACS Id: 1000057**  This map illustrates the potentially affected areas by pyroclastic flow/deposits of the December 2022 Semeru mount eruption in East Java (Indonesia) as detected by satellite images acquired on 4 Dec 2022 10km SE Mount Semeru. Based on analysis of Worldview-3, Spot 6 and Sentinel-2 images acquired on 9, 11 & 12 Dec. 2022 respectively, about 460ha of land appear to be severely affected by the volcanic eruption induced effects in the analyzed area of about 2,000ha. Within this area, UNOSAT has identified 206 affected structures and 10 potentially affected structures. Based on Worldpop population data and affected area by the pyroclastic flow/deposit, about 1,500 people are potentially exposed in this zone.   
  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

Tags: geodata, natural disasters
Organization: United Nations Satellite Centre (UNOSAT)
Food Insecurity Mapping - West Africa (January - March 2013)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **West Africa**.

It was last updated on January 14, 2013. The classification used is [IPC V2.0 Compatible](http://www.fews.net/nosso-trabalho/nosso-trabalho/classifica%C3%A7%C3%A3o-integrada-de-fases), aimed to address acute food insecurity.

The two shapefiles represent the two analytic periods:

* xx201304_ML1	Most likely food security outcome for January-March 2013
* xx201304_ML2	Most likely food security outcome for April-June 2013

Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used:

* 66 = water
* 88 = parks, forests, reserves
* 99 = missing data (usually urban centers)

Tags: agriculture-livestock, climate-weather, complex emergency-conflict-security, food security
Organization: HDX
American_Samoa_Population_Grid_2020

Population Raster American Samoa 2020
Data Input: Settlement footprint from Facebook's High-Resolution Population Density Maps (https://data.humdata.org/dataset/american-samoa-high-resolution-population-density-maps-demographic-estimates)
Population allocated proportionally using 2011 census population counts at enumeration area level.
Year Population Growth Rate of 0.23% has been applied to update population up to 2020



_Access this dataset from the [Pacific Data Hub](https://pacificdata.org/data/dataset/asm_population_grid_2020)_

Tags: population
Organization: Pacific Community
Satellite detected water extent in Dosso Region, Niger as of 05 October 2022

**UNOSAT code FL20221004NER**  This map illustrates satellite-detected surface waters in Dosso Region, Niger as observed from a Sentinel-2 image acquired on 05 October 2022 at 11:27 local time. Within the extent of this map of about 12,500 km2, about 225 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters within the map extent, about 35,000 people are potentially exposed or living close to flooded areas.  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Food Insecurity Mapping - Southern Africa (October - December 2015)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **Southern Africa**.

It was last updated on February 05, 2016. The classification used is [IPC V2.0 Compatible](http://www.fews.net/nosso-trabalho/nosso-trabalho/classifica%C3%A7%C3%A3o-integrada-de-fases), aimed to address acute food insecurity.

The two shapefiles represent the two analytic periods:

* SA201304_ML1	Most likely food security outcome for October-December 2015
* SA201304_ML2	Most likely food security outcome for January-March 2016

Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used:

* 66 = water
* 88 = parks, forests, reserves
* 99 = missing data (usually urban centers).

Tags: agriculture-livestock, climate-weather, complex emergency-conflict-security, food security
Organization: HDX
Sulawesi Earthquake 2018, Copernicus Building Damage Classification

This point dataset aggregrates Copernicus building damage data derived from post-event satellite imagery into a single dataset. Within the areas analysed, individual buildings are classified as damage/destroyed/none/possibly damaged. Separate datasets show the footprint of the areas analysed, and a hex grid analysis of building counts.

Tags: administrative boundaries-divisions, aid worker security, complex emergency-conflict-security
Organization: MapAction