AndreaBozzo/ceres-open-data-index huggingface dataset:
Türkiye - Births

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in <a href="https://ij-healthgeographics.biomedcentral.com/articles/10.1186/1476-072X-13-2"  target="_blank">Tatem et al.</a> and <a href="https://www.nature.com/articles/sdata201890"  target="_blank">James et al.</a>.  
Data for earlier dates is available directly from WorldPop.  
  
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Turkey 1km Births. Version 1.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/).   DOI: 10.5258/SOTON/WP00585

Tags: births, geodata
Organization: WorldPop
Geodata of Damage Assessment of Jalawla, Diyala Governorate, Iraq

This map illustrates satellite-detected damage and destruction in the city of Jalawla, Diyala Governorate, Iraq. Using satellite imagery acquired 20 January 2015 and 23 June 2014, UNITAR / UNOSAT identified a total of 1,771 affected structures. Approximately 395 of these were destroyed, 678 severely damaged, and 698 moderately damaged. 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)
Geodata of Damage Assessment of Fayzabad Area, Badakhshan Province, Afghanistan

This map illustrates satellite-detected potential damaged structures in the area of Fayzabad in Badakhshan province, Afghanistan, located at approximately 100 kilometers north of the epicenter of the 26 October 2015 earthquake. Using a Pléiades satellite image acquired 28 October 2015 and a WorldView-3 image acquired 20 June 2015, UNITAR/UNOSAT identified 79 potentially damaged structures. Specifically, 4 potentially damaged structures are located in the city of Fayzabad and 75 on the outskirts of the city and settlements in the area of Fayzabad. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Infrastructure and roads damage assessment of Deir Ez Zor, Deir Ez Zor Governorate, Syria

This map illustrates satellite-detected damage to infrastructure and roads in a portion of the city of Deir Ez Zor, Syrian Arab Republic and is derived from a full UNOSAT analysis of damage to Deir Ez Zor in 2017. Using satellite imagery acquired 9 November 2017, UNITAR - UNOSAT  identified 6 destroyed bridges, 54 damaged road segments and 93 visible impact craters affecting roads. Approximately 169 structures corresponding to educational facilities, and 21 structures likely related to health facilities are also affected. UNOSAT analysis shows that there are 3 destroyed electricity towers south of the city. Note that sources of infrastructure data include various open source datasets which are likely incomplete, as well as visual review of satellite imagery by UNOSAT for certain features like towers. 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, damage assessment, education, education facilities-schools, geodata, health, health facilities
Organization: United Nations Satellite Centre (UNOSAT)
Damage density of Deir Ez Zor, Deir Ez Zor Governorate, Syria

This map illustrates satellite-detected damage density in a portion of the city of Deir Ez Zor, Syrian Arab Republic. Using satellite imagery acquired 9 November 2017, 25 May 2016, 10 May 2015, 13 May 2014, and 24 October 2013, UNITAR - UNOSAT identified a total of 6,348 affected structures within the city. Approximately 1,144 of these were destroyed, 2,348 severely damaged, and 2,856 moderately damaged. While much of the city was damaged by 25 May 2016, 1,859 structures were newly damaged and 386 structures experienced an increase in damage between that date and 9 November 2017. This analysis does not include pre-war military bases and facilities. 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)
Damage assessment in Bien Unido, Trinidad & Ubay municipalities, Bohol Province, Philippines as of 23 December 2021

**UNOSAT code: TC20211216PHL**  This map illustrates potentially damaged structures and buildings in Bien Unido, Trinidad and Ubay municipalities, Bohol province, Region VII (Central Visayas), Philippines as observed from a Pleiades image acquired on 23 December 2021. Within the analyzed area, UNOSAT identified 2,225 damaged structures and 888 potentially 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)
Satellite detected water extent between 25 and 29 May 2022 over Guyana

**UNOSAT code: FL20220526GUY**  This map illustrates cumulative satellite-detected water using VIIRS in Guyana between 25 to 29 May 2022 compared with the period from 20 to 24 May 2022. Within the cloud free analyzed areas of about 205,000 km2, a total of about 3,900 km2 of lands appear to be affected with flood waters. Water extent appears to have increased of about 1,200 km2 since the period between 20 to 24 may 2022. Based on Worldpop population data and the maximal flood water coverage, ~22,000 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 the United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage assessment in Nomuka village, Mu'omu'a district, Ha'apai division, Nomuka Island, as of 17 January 2022

**UNOSAT code: VO20220115TON**  This map illustrates effects of the Hunga Tonga-hunga Ha'apai volcanic eruption in Nomuka island (Mu'omu'a district, Tonga) and damage assessment as detected from a Pleiades image acquired on 17 January 2022, 10:53 local time. In this island we identified~250 structures. 104 structures were analyzed in the cloud-free area and 41 structures were identified as damaged and almost all the structures were covered with ash. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: geodata, natural disasters
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Update: Al Zaatari Refugee Camp, Mafraq Governorate, Jordan

This map illustrates satellite-detected shelters and other buildings at the Al Zaatari refugee camp in Mafraq Governorate, Jordan. As of 12 October 2015 a total of 26,963 shelters were detected as well as 2,130 infrastructure and support buildings within the 534.4 hectares of the camp. Between 26 April 2015 and 12 October 2015, a total of 4,310 shelters closed or were moved, and a total of 2,296 shelters were constructed, and the number of shelters has thus decreased by about 2,268 since the previous UNITAR-UNOSAT assessment. This indicates an approximate 7.76% decrease in the number of shelters between 26 April 2015 and 12 October 2015. This is a preliminary analysis and has not yet been validated in the field; structure locations subject to a spatial error margin of +/- three meters. Shelters grouped under plastic sheeting were estimated by average household size and may be a source of error. Please send ground feedback to UNITAR-UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
South Sudan - Geodata of IDP Shelters in UN House Compound in Juba (Central Equatoria)

This map illustrates satellite-detected areas of IDP shelters in the UN House compound in Juba, Central Equatoria, South Sudan. UNITAR-UNOSAT analysis of WorldView-1 satellite imagery acquired 27 June 2016 revealed a total of 8,477 shelters as well as 231 infrastructure and support buildings within the compound. This represents an increase of approximately 3.2 percent in shelters and a decrease of roughly 3.3 percent in infrastructure and support buildings since the previous UNITAR-UNOSAT analysis of 25 September 2015 satellite imagery. While no structures were detected within PoC2, containers were visible in this area on 27 June 2016, as seen in inset 2. 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 water extent over Kaski and Syangja districts, Gandaki province, Nepal as of 4 July 2021

**UNOSAT code: FL20210630NPL**  This map illustrates satellite-detected surface waters in Kaski and Syangja districts, Gandaki province, Nepal as observed from a Sentinel-2 image acquired on 4 July 2021 at 10:41 local time. Within the analyzed cloud free zones of about 500 km2, a total of about 25km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 17,000 people are potentially exposed or living close to flooded areas. The potentially exposed population is mainly located in the Kaski district with ~16,000 people.
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 - West Africa (July - September 2013)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **East 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:

* xx201304_ML1	Most likely food security outcome for July-September 2013
* xx201304_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
Georgia - 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
Food Insecurity Mapping - East Africa (October - December 2014)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **East Africa**.

It was last updated on December 31, 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:

* EA201304_ML1	Most likely food security outcome for October-December 2014
* EA201304_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
United States of America - 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
Food Insecurity Mapping - West Africa (October - December 2013)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **West Africa**.

It was last updated on November 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 October-December 2013
* xx201304_ML2	Most likely food security outcome for January-March 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
Food Insecurity Mapping - West Africa (April - June 2015)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **East Africa**.

It was last updated on June 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:

* westafrica201304_ML1	Most likely food security outcome for April-June 2015
* westafrica201304_ML2	Most likely food security outcome for July-September 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, el nino-el nina, food security
Organization: HDX
Food Insecurity Mapping - Central Asia (July - September 2015)

This Archive contains shapefiles for FEWS NET Food Security Outlook for **Central Asia**.

It was last updated on July 31, 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:

* centralasia201304_ML1	Most likely food security outcome for July-September 2015
* centralasia201304_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
Guinea healthcare master data

World-readable Google Sheet with geographical master data for Guinea, including ADM1/2/3 p-codes and links to GeoJSON shape files.  HXL tagged.  Also includes list of known Guinea health facilities, a list of IPC partner organisations, and code lists for sector (public/private) and infection-control training type.  Used by the [Guinea health facility training activities](https://data.hdx.rwlabs.org/dataset/guinea-health-facility-training-activities) dataset.

Tags: geodata, health, hxl
Organization: IPC Cluster Guinea (inactive)
Wildfires in Valparaíso and Metropolitan Regions, Chile as of 29 December 2022

**UNOSAT code FR20221229CHL**  This map illustrates satellite-detected burned areas in Valparaíso and Metropolitan Regions, Chile based on Sentinel-2 images acquired on 29 December 2022 at 11:52 local time. Within the analyzed area of about 3,400 km², about 90 km² of lands appear to be potentially burned. Based on Worldpop population data and the burned area extent, about 8,000 people are potentially exposed or living close to burned 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: disaster risk reduction-drr, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Floodwater depth in Sindh and Balochistan Provinces, Pakistan  as of 29 November 2022

**UNOSAT code FL20221121PAK**  This map illustrates floodwater depth in Sindh and Balochistan Provinces, Pakistan  
using water flood depth deduced from Suomi-NPP & NOAA-20 VIIRS as of 29 November 2022. Within the cloud free analyzed areas of about 40,000 km2, a total of about 47,000 km2 of lands appear to be affected with flood waters.Based on Worldpop population data and the maximum flood water coverage, ~2 million 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 the United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in N'Djamena and Chari Departments, Chad as of 30 October 2022

**UNOSAT code FL20221019TCD**  This map illustrates satellite-detected surface waters in N'Djamena and  Chari Departments, Chad as observed from a Kanopus-V image acquired on 30 October 2022 at 11:26  local time. Within the analyzed area of about 570 km2, about 110 km2 of lands appear to be flooded and 19,465 structures are potentially affected by the floods. Based on Worldpop population data and the detected surface waters, about 284,000 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 - Wallis and Futuna

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-wlf)_

Tags: demographics
Organization: Pacific Community
Satellite detected water extents between 26 and 30 October 2022 over South Sudan

**UNOSAT code FL20220424SSD**  This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 26 to 30 October 2022 compared with the period from 18 to 22 October 2022. Within the cloud free analyzed areas of about 630,000 km², a total of about 52,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 8,400 km² since the period between 18 to 22 October 2022. Based on Worldpop population data and the maximal flood water extent ~965,000 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 the United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)