AndreaBozzo/ceres-open-data-index huggingface dataset:
Bermuda - 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
Damage Assessment in Zayzafun Village, A'zaz District, Aleppo Governorate, Syria as of 7 February 2023

**UNOSAT code EQ20230206SYR, GDACS Id: 1357372**  This map illustrates potentially damaged structures/buildings by the 06th of February 2023 earthquake in Zayzafun (Aykadah) village, A'zaz District, Aleppo Governorate, Syria as detected by a Worldview-3 Very high-resolution satellite image acquired on 7 February 2023. Within this village, UNOSAT identified 33 damaged structures and 25 potentially damaged structures. 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: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Coastal proximity of populations in 22 Pacific Island Countries and Territories - Dataset - Papua New Guinea

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-png)_

Tags: demographics, population
Organization: Pacific Community
Lao People's Democratic Republic - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Tropical Cyclones Judy And Kevin, Preliminary Satellite-derived Assessment in Vanuatu-Penama, Malampa, Shefa, and Tefea Provinces

**UNOSAT code TC20230227VUT, GDACS Id: 1000965**  Status: Landslide, potentially affected road and damaged houses observed.  
Further action(s): Continue monitoring  
  
Summary of findings;  
Based on satellite images acquired on 04th, 09th and 11th of March 2023, the findings are the following:   
  
Tanna Island, Tafea Province;  
  
Widespread affected forest observed over Tanna Island;  
Potentially affected houses observed in West Tanna  Council, Tafea Province;  
Widespread damaged houses observed in Lawir Village, Tanna Island, North Tanna Council, Tafea Province;  
  
Efate Island, Shefa Province;  
  
Widepsread affected forest observed over Efate Island;  
  
Tongoa Island, Shefa Province   
  
Widespread affected forest observed over Tongoa Island;  
  
South Pentecost Island, Penama Province  
No visible affected forest observed over cloud free areas in South Pentecost Island, South Pentecost Council, Penama Province;  
  
Ambae Island, West Ambae Council, Penama Province;  
  
Landslide observed in Ambae Island, West Ambae Council, Penama Province ;    
  
Affected shoreline observed in Ambae Island, West Ambae Council, Penama Province ;  
  
Potentially affected road and potentially affected houses observed in Ambae Island, West Ambae Council, Penama Province ;  
  
Malekula Island, Malampa Province;   
  
Affected shoreline observed in South Malekula Council, Malampa Province;

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents between 30 October and 03 November 2022 over Chad

**UNOSAT code FL20221019TCD**  This map illustrates cumulative satellite-detected water using VIIRS in Chad between 30 October to 03 November 2022 compared with the period from 14 to 18 October 2022. Within the cloud free analysed areas of about 1,200,000 km², a total of about 18,000 km² of land appears to be affected. Water extent appears to have decreased of about 6,300 km² since the period between 14 to 18 October 2022. Based on Worldpop population data and the maximal flood water extent ~1 million people are potentially exposed or living close to flooded areas amongst the 16.5 million people living in the analysed 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in N'Djamena department, N'Djamena Region, Chad as of 21 October 2022

**UNOSAT code FL20221019TCD**  This map illustrates satellite-detected surface waters in N'Djamena Department, N'Djamena Region, Chad as observed from a Pleiades image acquired on 21 October 2022 at 10:35 local time. Within the analyzed area of about 500 km2, about 68 km2 of lands appear to be flooded and 13,323 structures are potentially affected by the floods. Based on Worldpop population data and the detected surface waters, about 228,000 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)
Coastal proximity of populations in 22 Pacific Island Countries and Territories - Dataset - Kiribati

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-kir)_

Tags: demographics, population
Organization: Pacific Community
Armenia - 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
Satellite detected water extents over Binh Dinh, Da Nang city, Phu Yen, Quang Nam, Quang Ngai, Thua Thien Hue Provinces, Viet Nam as of 15 October 2022

**UNOSAT code FL20221014VNM, GDACS Id: 1101698**  This map illustrates satellite-detected surface waters in Binh Dinh, Da Nang City, Phu Yen, Quang Nam, Quang Ngai, Thua Thien Hue Provinces, Viet Nam as observed from a Sentinel-1 images acquired on 15 October 2022 at 17:56 local time. Within the extent of this map of 32,000 km², about 500 km² of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the map extent, about 300,000 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).  
  
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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Population projections

Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.

_Find more Pacific data on [PDH.stat](https://stats.pacificdata.org)._

_Access this dataset from the [Pacific Data Hub](https://pacificdata.org/data/dataset/population-projections-df-pop-proj)_

Tags: population
Organization: Pacific Community
Ghana - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Bulgaria - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Eritrea - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Food Insecurity Mapping - Southern Africa (July - September 2013)

This Archive contains shapefiles for FEWS NET Food Security Outlook for  **Southern Africa**.

It was last updated on July 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:

* southernafrica201307_ML1	Most likely food security outcome for July-September 2013
* southernafrica201307_ML2	Most likely food security outcome for October-December 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
Food Insecurity Mapping - Central Asia (July - September 2014)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **Central Asia**.

It was last updated on August 01, 2014. 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:

* CA201304_ML1	Most likely food security outcome for July-September 2014
* CA201304_ML2	Most likely food security outcome for October-December 2014

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
New_Caledonia_Population_Grid_2020

Population Raster New Caledonia 2020
Data Input: Settlement footprint from Facebook's High-Resolution Population Density Maps https://data.humdata.org/dataset/new-caledonia-high-resolution-population-density-maps-demographic-estimates
Population allocated proportionally using 2011 census population counts at enumeration area (districts de recensement) level.
Year Population Growth Rate of 0.2% (0.001957) has been applied to update population up to 2020
The human settlement footprint with census population allocated has been converted into a 100 m resolution raster.


_Access this dataset from the [Pacific Data Hub](https://pacificdata.org/data/dataset/ncl_population_grid_2020)_

Tags: census, population
Organization: Pacific Community
Food Insecurity Mapping - Central America and The Caribbean (October - December 2014)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **Central America and The Caribbean**.

It was last updated on November 13, 2014. 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:

* LAC201304_ML1	Most likely food security outcome for October-December 2014
* LAC201304_ML2	Most likely food security outcome for January-March 2015

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
Food Insecurity Mapping - West Africa (October - December 2014)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **West Africa**.

It was last updated on November 13, 2014. 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:

* WA201304_ML1	Most likely food security outcome for October-December 2014
* WA201304_ML2	Most likely food security outcome for January-March 2015

Where xx is one of the region codes listed above. 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
Food Insecurity Mapping - East Africa (July - September 2015)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **East Africa**.

It was last updated on September 30, 2015. 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:

* easternafrica201507_ML1	Most likely food security outcome for July-September 2015
* easternafrica201507_ML2	Most likely food security outcome for October-December 2015

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
Belize - 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