AndreaBozzo/ceres-open-data-index huggingface dataset:
United Arab Emirates - Spatial Distribution of Population (2015-2030)

Estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025

Tags: baseline population, geodata
Organization: WorldPop
Andorra - Age and Gender Structures (2015-2030)

Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Andorra, R2025A version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square.&nbsp;  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025  
  
**File Descriptions:**  
  
_{iso} {gender} {age group} {year} {type} {resolution}.tif_  
  
_iso_  
  
Three-letter country code  
  
_gender_  
  
m = male, f= female, t = both genders  
  
_age group_  
  
*   00 = age group 0 to 12 months  
*   01 = age group 1 to 4 years  
*   05 = age group 5 to 9 years  
*   90 = age 90 years and over  
  
_year_  
  
Year that the population represents  
  
_type_  
  
CN = [Constrained](https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained/)  
  
_resolution_  
  
Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

Tags: baseline population, demographics, gender and age disaggregated data-gadd, geodata
Organization: WorldPop
Andorra - Spatial Distribution of Population (2015-2030)

Estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025

Tags: baseline population, geodata
Organization: WorldPop
Albania - Age and Gender Structures (2015-2030)

Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Albania, R2025A version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square.&nbsp;  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025  
  
**File Descriptions:**  
  
_{iso} {gender} {age group} {year} {type} {resolution}.tif_  
  
_iso_  
  
Three-letter country code  
  
_gender_  
  
m = male, f= female, t = both genders  
  
_age group_  
  
*   00 = age group 0 to 12 months  
*   01 = age group 1 to 4 years  
*   05 = age group 5 to 9 years  
*   90 = age 90 years and over  
  
_year_  
  
Year that the population represents  
  
_type_  
  
CN = [Constrained](https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained/)  
  
_resolution_  
  
Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

Tags: baseline population, demographics, gender and age disaggregated data-gadd, geodata
Organization: WorldPop
Albania - Spatial Distribution of Population (2015-2030)

Estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025

Tags: baseline population, geodata
Organization: WorldPop
Åland Islands - Age and Gender Structures (2015-2030)

Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Åland Islands (Fin.), R2025A version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square.&nbsp;  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025  
  
**File Descriptions:**  
  
_{iso} {gender} {age group} {year} {type} {resolution}.tif_  
  
_iso_  
  
Three-letter country code  
  
_gender_  
  
m = male, f= female, t = both genders  
  
_age group_  
  
*   00 = age group 0 to 12 months  
*   01 = age group 1 to 4 years  
*   05 = age group 5 to 9 years  
*   90 = age 90 years and over  
  
_year_  
  
Year that the population represents  
  
_type_  
  
CN = [Constrained](https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained/)  
  
_resolution_  
  
Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

Tags: baseline population, demographics, gender and age disaggregated data-gadd, geodata
Organization: WorldPop
Åland Islands - Spatial Distribution of Population (2015-2030)

Estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025

Tags: baseline population, geodata
Organization: WorldPop
Anguilla - Age and Gender Structures (2015-2030)

Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Anguilla (UK), R2025A version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square.&nbsp;  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025  
  
**File Descriptions:**  
  
_{iso} {gender} {age group} {year} {type} {resolution}.tif_  
  
_iso_  
  
Three-letter country code  
  
_gender_  
  
m = male, f= female, t = both genders  
  
_age group_  
  
*   00 = age group 0 to 12 months  
*   01 = age group 1 to 4 years  
*   05 = age group 5 to 9 years  
*   90 = age 90 years and over  
  
_year_  
  
Year that the population represents  
  
_type_  
  
CN = [Constrained](https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained/)  
  
_resolution_  
  
Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

Tags: baseline population, demographics, gender and age disaggregated data-gadd, geodata
Organization: WorldPop
Anguilla - Spatial Distribution of Population (2015-2030)

Estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025

Tags: baseline population, geodata
Organization: WorldPop
Angola - Age and Gender Structures (2015-2030)

Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Angola, R2025A version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square.&nbsp;  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025  
  
**File Descriptions:**  
  
_{iso} {gender} {age group} {year} {type} {resolution}.tif_  
  
_iso_  
  
Three-letter country code  
  
_gender_  
  
m = male, f= female, t = both genders  
  
_age group_  
  
*   00 = age group 0 to 12 months  
*   01 = age group 1 to 4 years  
*   05 = age group 5 to 9 years  
*   90 = age 90 years and over  
  
_year_  
  
Year that the population represents  
  
_type_  
  
CN = [Constrained](https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained/)  
  
_resolution_  
  
Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

Tags: baseline population, demographics, gender and age disaggregated data-gadd, geodata
Organization: WorldPop
Afghanistan - Age and Gender Structures (2015-2030)

Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Afghanistan, R2025A version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square.&nbsp;  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025  
  
**File Descriptions:**  
  
_{iso} {gender} {age group} {year} {type} {resolution}.tif_  
  
_iso_  
  
Three-letter country code  
  
_gender_  
  
m = male, f= female, t = both genders  
  
_age group_  
  
*   00 = age group 0 to 12 months  
*   01 = age group 1 to 4 years  
*   05 = age group 5 to 9 years  
*   90 = age 90 years and over  
  
_year_  
  
Year that the population represents  
  
_type_  
  
CN = [Constrained](https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained/)  
  
_resolution_  
  
Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

Tags: baseline population, demographics, gender and age disaggregated data-gadd, geodata
Organization: WorldPop
Afghanistan - Spatial Distribution of Population (2015-2030)

Estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025

Tags: baseline population, geodata
Organization: WorldPop
Aruba - Age and Gender Structures (2015-2030)

Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Aruba (Neth.), R2025A version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square.&nbsp;  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025  
  
**File Descriptions:**  
  
_{iso} {gender} {age group} {year} {type} {resolution}.tif_  
  
_iso_  
  
Three-letter country code  
  
_gender_  
  
m = male, f= female, t = both genders  
  
_age group_  
  
*   00 = age group 0 to 12 months  
*   01 = age group 1 to 4 years  
*   05 = age group 5 to 9 years  
*   90 = age 90 years and over  
  
_year_  
  
Year that the population represents  
  
_type_  
  
CN = [Constrained](https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained/)  
  
_resolution_  
  
Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

Tags: baseline population, demographics, gender and age disaggregated data-gadd, geodata
Organization: WorldPop
Aruba - Spatial Distribution of Population (2015-2030)

Estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.  
  
More information can be found in the [Release Statement](https://data.worldpop.org/repo/prj/Global_2015_2030/R2025A/doc/Global2_Release_Statement_R2025A_v1.pdf)  
  
Please note that these data represent 2025 Alpha release versions, constructed in September 2025

Tags: baseline population, geodata
Organization: WorldPop
Serbia - 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
Comoros - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3.  
  
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
Geodata of Saturated Soils Over Buulobarde Shabelle Region, Somalia

This map illustrates satellite-detected areas of potentially saturated soils and probable flood waters in the Buulobarde Shabelle region of Somalia. Using satellite imagery acquired 30 October 2015 and 02 January 2015, UNITAR-UNOSAT identified a total affected area of roughly 10,434 hectares in the Shabelle Dhexe and Hiraan provinces. As of 30 October 2015, approximately 10,088 hectares of possibly saturated wet soils, as well as about 346 hectares of probable standing flood waters were detected over the districts of Bulo Burto, Jalalaqsi, and Jowhar. Due to the low spatial resolution of satellite data used for this analysis, the exact limit of flood water is uncertain. Detected water bodies likely reflect an underestimation of all flood-affected areas within the map extent. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: el nino-el nina, flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Wildfires

This includes layers for detectable thermal activity from VIIRS satellites for the last 7 days and MODIS satellites for the last 48 hours. VIIRS Thermal Hotspots and Fire Activity is a product of NASA’s Land, Atmosphere Near real-time Capability for EOS (LANCE) Earth Observation Data, while MODIS Global Fires is a product of NASA’s Earth Observing System Data and Information System (EOSDIS), both a part of NASA's Earth Science Data. EOSDIS integrates remote sensing and GIS technologies to deliver global MODIS hotspot/fire locations to natural resource managers and other stakeholders around the World. 

The application includes live feed sources for US wildfire reports (I-209), perimeters, MODIS hot spots, wildfire conditions / red flag warnings, wildfire potential and weather radar. Each of these layers provides insight into where a fire is located, its intensity and the surrounding areas susceptibility to wildfire.

Tags: climate hazards
Organization: Esri
Cameroon: Operational Presence

The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working and what they are doing in order to identify gaps and plan for future humanitarian response. This dataset includes a list of humanitarian organizations operating in Cameroon at Admin 2.

Tags: hxl, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Cameroon
Iran (Islamic Republic of) - Subnational Population Statistics

Iran (Islamic Republic of) administrative levels 0 (country), 1 (province, ostān), and 2 (district, baxš) 2016 population statistics

REFERENCE YEAR:  2016

These tables are suitable for database or GIS linkage to the [Iran (Islamic Republic of) administrative levels 0-2 boundaries](https://data.humdata.org/dataset/cod-ab-irn) layers.

Tags: baseline population, crisis-greater-middle-east, demographics, gazetteer, gender and age disaggregated data-gadd
Organization: OCHA Middle East and North Africa (ROMENA)
Singapore: IBTrACS Storm Tracks

The International Best Track Archive for Climate Stewardship (IBTrACS) project is the most complete global collection of tropical cyclones available. It merges recent and historical tropical cyclone data from multiple agencies to create a unified, publicly available, best-track dataset that improves inter-agency comparisons.   
   
 Fields available:   
 SID: A unique storm identifier (SID) assigned by IBTrACS algorithm.  
 ISO_TIME: Time of the observation in ISO format (YYYY-MM-DD hh:mm:ss)   
 BASIN: Basin of the current storm position   
 SUBBASIN: Sub-basin of the current storm position   
 NATURE: Type of storm (a combination of the various types from the available sources)   
 NUMBER: Number of the storm for the year (restarts at 1 for each year   
 LAT: Mean position - latitude (a combination of the available positions)   
 LON: Mean position - longitude (a combination of the available positions)   
 WMO_WIND: Maximum sustained wind speed assigned by the responsible WMO agency   
 WMO_PRES: Minimum central pressure assigned by the responsible WMO agency.

Tags: cyclones-hurricanes-typhoons
Organization: HDX
Satellite detected water extents in Isandra, Lalangina, and Vohibato districts, Haute Matsiatra region, as of 12 Feb. 22

**UNOSAT code: TC20220201MDG**  This map illustrates satellite-detected surface waters in Isandra, Lalangina, and Vohibato districts, Haute Matsiatra region, Madagascar observed from a Kompsat5 image acquired on 12 February 2022 at 06:14 local time. Within the analyzed area about 1,700 km2, a total of about 10 km2 of lands appear to be flooded. The water extent appears to have decreased of about 40 km2 since 8 February 2022.

Based on Worldpop population data and the detected surface waters, about 2,400 people are potentially exposed or living close to flooded areas. This is a preliminary analysis that 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)
Chad - 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
Cameroon: JIAF Humanitarian Needs People in Need and Severity

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Tags: affected area, affected population, humanitarian needs overview-hno, humanitarian response plan-hrp, people in need-pin, severity
Organization: OCHA Cameroon
Guinea-Bissau Motorised Travel Time (in seconds) to nearest health centre

A 100 m spatial resolution geotiff of motorised travel time in seconds to nearest health facility in Guinea-Bissau. The data was generated using the Child Poverty and Access to Services (CPAS) software (10.5281/zenodo.4638563) and was created as part of the CPAS project within the Data for Children Collaborative. The travel time is calculated assuming driving speeds of local public transport options on all-weather roads/asphalt roads and walking speeds on all other roads, tracks, paths and land cover types. A full description is available [here](https://doi.org/10.1038/s41597-022-01274-w) a video description of the data is also available [here](https://www.dataforchildrencollaborative.com/outputs/presentation-a-100m-resolution-travel-time-map)

Projection system is: GCS_WGS_1984 EPSG 4326 for all


Tags: africa, geodata, health facilities, transportation
Organization: Data for Children Collaborative
Bangladesh: Refugee Education, Health and Nutrition Activities

This dataset, provided by the BRAC Humanitarian Crisis Management Programme (HCMP), is categorized by sex and month, offering insights into the camp location as well as the number of children and individuals with disabilities impacted by initiatives in the Health & Nutrition and Education sectors within the Cox's Bazar refugee camp.

Tags: disability, education, gender and age disaggregated data-gadd, health, nutrition, refugees
Organization: BRAC