AndreaBozzo/ceres-open-data-index huggingface dataset:
Iran (Islamic Republic of): 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, hxl
Organization: HDX
Iraq: 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, hxl
Organization: HDX
Ghana: 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, hxl
Organization: HDX
Eritrea: 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, hxl
Organization: HDX
Djibouti: 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, hxl
Organization: HDX
Bahrain: 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, hxl
Organization: HDX
United Arab Emirates: 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, hxl
Organization: HDX
Afghanistan: 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, hxl
Organization: HDX
Haiti - Localities

This dataset contains geographical and administrative information on Haiti's villages. The data columns include unique identifiers, administrative codes and place names in FR and EN languages. Here is a brief description of each column:
- osm_id: unique OpenStreetMap identifier for each entry ;
- code: code representing the geographic entry;
- fclass: functional classification of the area (e.g. village, town, etc.);
- population: area population (OSM data with total value = 6,447,788 and zero values in this sample);
- name : name of the locality;
- ADM_XX : columns containing geographical and administrative information (ADM0, ADM1, ADM2 and ADM3).

Organization: OCHA Haiti
Satellite detected water extent along the Mazaruni river as of 09 June 2021, Region 7 - Cuyuni-Mazaruni, Guyana

**UNOSAT code: FL20210520GUY**  This map illustrates satellite-detected surface waters along the Mazaruni river in Cuyuni-Mazaruni Region of Guyana as observed from RCM-2 radar image acquired on 09 June 2021 at 22:17 UTC. Within the analyzed area of about 700 km2, a total of about 4 km2 of lands were observed as flooded.
This is a preliminary analysis that 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Republic of Moldova - Socio-Economic Assessment (SEIS) - 2024

The Socio-Economic Assessment, 2024 provides quantitative data on the socio-economic situation of refugees from Ukraine and host community members in Moldova. Conducted between June and September 2024, the survey covers topics including livelihoods, access to public services, social cohesion, child protection, health, and housing. The dataset captures demographic profiles, service usage and barriers, economic inclusion opportunities, and perceptions of social inclusion. The findings form part of a mixed-methods assessment that also includes micronarratives and key informant interviews, supporting evidence-based programming and policy responses for both refugee and host populations in Moldova.

Tags: cash voucher assistance-cva, education, food security, gender-based violence-gbv, health, livelihoods, mental health, needs assessment, protection
Organization: UNHCR - The UN Refugee Agency
Guinea-Bissau: WOF Administrative Subdivisions and Human Settlements

This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes:  
- macroregion (admin-1 including region)  
- region (admin-2 including state, province, department, governorate)  
- macrocounty (admin-3 including arrondissement)  
- county (admin-4 including prefecture, sub-prefecture, regency, canton, commune)  
- localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb)  
  
The dataset also contains human settlement points and polygons for:  
- localities (city, town, and village)  
- neighbourhoods (borough, macrohood, neighbourhood, microhood)  
  
The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the [README.md](https://github.com/whosonfirst/whosonfirst-sources/blob/main/sources/README.md) file for complete data source metadata. Refer to our [blog post](https://whosonfirst.org/blog/2023/05/31/shapefiles/) for explanation of field names.  
  
Data corrections can be proposed using [Write Field](https://writefield.nextzen.org/), an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

Tags: administrative boundaries-divisions, geodata, populated places-settlements, population
Organization: Who's On First
Ethiopia: WOF Administrative Subdivisions and Human Settlements

This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes:  
- macroregion (admin-1 including region)  
- region (admin-2 including state, province, department, governorate)  
- macrocounty (admin-3 including arrondissement)  
- county (admin-4 including prefecture, sub-prefecture, regency, canton, commune)  
- localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb)  
  
The dataset also contains human settlement points and polygons for:  
- localities (city, town, and village)  
- neighbourhoods (borough, macrohood, neighbourhood, microhood)  
  
The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the [README.md](https://github.com/whosonfirst/whosonfirst-sources/blob/main/sources/README.md) file for complete data source metadata. Refer to our [blog post](https://whosonfirst.org/blog/2023/05/31/shapefiles/) for explanation of field names.  
  
Data corrections can be proposed using [Write Field](https://writefield.nextzen.org/), an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

Tags: administrative boundaries-divisions, geodata, populated places-settlements, population
Organization: Who's On First
Satellite detected water extents between 19 and 23 November 2021 over South Sudan

**UNOSAT code: FL20211015SSD**  This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 19 to 23 November 2021 compared with the period between 03 to 07 November 2021. Within the cloud free analyzed areas of about 630,000 km2, a total of about 33,000 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 660 km2 since the period between 03 to 07 November 2021. Based on Worldpop population data and the detected surface waters, ~880,000 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)
Mayotte: WOF Administrative Subdivisions and Human Settlements

This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes:  
- macroregion (admin-1 including region)  
- region (admin-2 including state, province, department, governorate)  
- macrocounty (admin-3 including arrondissement)  
- county (admin-4 including prefecture, sub-prefecture, regency, canton, commune)  
- localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb)  
  
The dataset also contains human settlement points and polygons for:  
- localities (city, town, and village)  
- neighbourhoods (borough, macrohood, neighbourhood, microhood)  
  
The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the [README.md](https://github.com/whosonfirst/whosonfirst-sources/blob/main/sources/README.md) file for complete data source metadata. Refer to our [blog post](https://whosonfirst.org/blog/2023/05/31/shapefiles/) for explanation of field names.  
  
Data corrections can be proposed using [Write Field](https://writefield.nextzen.org/), an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

Tags: administrative boundaries-divisions, geodata, populated places-settlements, population
Organization: Who's On First
Story Map: Floods in Laos resulting from Tropical Cyclone Sonca 17

This UNOSAT LIVE map integrates geo-spatial data in support of response efforts following Tropical Cyclone SONCA-17, after it made landfall in Laos on 26 July 2017.
 
More specifically, it was created with the aim of supporting a food security field assessment carried out by World Food Programme on the ground. 
 
Up-to-date, comprehensive satellite image derived flood analyses are displayed, together with photos automatically uploaded from the UN-ASIGN smartphone app. Additional supporting GIS data are also included on the map.



Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in Douar Tagadirte (Igermane), Chichaoua Province, Marrakech-Safi Region, Morocco as of 10 September 2023

**UNOSAT code EQ20230909MAR, GDACS Id: 1390643**  This map illustrates potentially damaged structures/buildings by the M6.8 Adassil/Al Haouz earthquake (70 km SW Marrakesh) of 08 September 2023 (22:11 UTC) as detected by using a Pleiades very high-resolution satellite image acquired on 10 September 2023. Within map extent, UNOSAT identified 77 damaged/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, morocco-earthquake
Organization: United Nations Satellite Centre (UNOSAT)
Republic of Korea: WOF Administrative Subdivisions and Human Settlements

This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes:  
- macroregion (admin-1 including region)  
- region (admin-2 including state, province, department, governorate)  
- macrocounty (admin-3 including arrondissement)  
- county (admin-4 including prefecture, sub-prefecture, regency, canton, commune)  
- localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb)  
  
The dataset also contains human settlement points and polygons for:  
- localities (city, town, and village)  
- neighbourhoods (borough, macrohood, neighbourhood, microhood)  
  
The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the [README.md](https://github.com/whosonfirst/whosonfirst-sources/blob/main/sources/README.md) file for complete data source metadata. Refer to our [blog post](https://whosonfirst.org/blog/2023/05/31/shapefiles/) for explanation of field names.  
  
Data corrections can be proposed using [Write Field](https://writefield.nextzen.org/), an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

Tags: administrative boundaries-divisions, geodata, populated places-settlements, population
Organization: Who's On First
Philippines: WOF Administrative Subdivisions and Human Settlements

This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes:  
- macroregion (admin-1 including region)  
- region (admin-2 including state, province, department, governorate)  
- macrocounty (admin-3 including arrondissement)  
- county (admin-4 including prefecture, sub-prefecture, regency, canton, commune)  
- localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb)  
  
The dataset also contains human settlement points and polygons for:  
- localities (city, town, and village)  
- neighbourhoods (borough, macrohood, neighbourhood, microhood)  
  
The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the [README.md](https://github.com/whosonfirst/whosonfirst-sources/blob/main/sources/README.md) file for complete data source metadata. Refer to our [blog post](https://whosonfirst.org/blog/2023/05/31/shapefiles/) for explanation of field names.  
  
Data corrections can be proposed using [Write Field](https://writefield.nextzen.org/), an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

Tags: administrative boundaries-divisions, geodata, populated places-settlements, population
Organization: Who's On First