AndreaBozzo/ceres-open-data-index huggingface dataset:
Costa Rica - 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
Algeria - 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
Kyrgyzstan - Baseline Assessment [IOM DTM]

The dataset presents findings from key informant interviews conducted in Kyrgyzstan using the International Organization for Migration's (IOM) Mobility Tracking Matrix (MTM) system. Adapted from IOM's Global Displacement Tracking Matrix (DTM) methodology, MTM aims to collect and analyze data to understand the mobility, vulnerabilities, and needs of displaced and mobile populations for evidence-based migration management.

Tags: hxl, migration, returnees
Organization: International Organization for Migration (IOM)
Myanmar - 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
Ethiopia - 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
Bangladesh - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3, ADM4.  
  
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
Tajikistan - Baseline Assessment [IOM DTM]

DTM REMAP implements the Baseline Mobility Assessment (BMA) in Tajikistan to track mobility, provide information on population estimates, geographic distribution of migrant workers and return migrants, reasons for migration and countries of return. Data is collected at the village level from key informants and direct observations.

Tags: hxl, migration, returnees
Organization: International Organization for Migration (IOM)
Azerbaijan - 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
Brazil - 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
Belize - 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
Viet Nam - 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
Mongolia - 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
Gabon - 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
HarvestStat Africa - Harmonized Subnational Crop Statistics for Sub-Saharan Africa

HarvestStat Africa presents the largest compilation of open-access sub-national crop statistics and time-series across Sub-Saharan Africa. Based on agricultural statistics collated by the Famine Early Warning Systems Network, the sub-national crop statistics are standardized and calibrated across changing administrative units to produce consistent and continuous time-series. 

The dataset includes 574,204 records, primarily spanning from 1980 to 2022, detailing quantity produced (metric tonnes; mt), harvested areas (hectares; ha), and yields (metric tonnes per hectare; mt/ha) for 33 countries and 94 crop types, including key cereals in Sub-Saharan Africa such as wheat, maize, rice, sorghum, barley, millet, and fonio. 

As an open-source resource, it establishes a precedent for sharing sub-national crop statistics to inform decision-making and modeling efforts.

Tags: africa, agriculture-livestock, food security
Organization: HarvestStat Consortium
Burkina Faso: 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, hxl, people in need-pin, severity
Organization: OCHA Burkina Faso
Zimbabwe: Google Building Footprints

This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km² and was carried out during May 2023.  
  

Each building in this dataset includes a polygon describing its footprint size on the ground and a confidence score indicating how sure this is a building. There is no information about the type of building, its street address, or any details other than its geometry.  
  

The HDX team curates these datasets at [Google Open Buildings (by HDX)](https://data.humdata.org/organization/google-open-buildings) using international boundaries from the UN Geospatial Hub.  
  

For more details, see the official website of the [Open Buildings dataset](https://sites.research.google/gr/open-buildings/).

Tags: facilities-infrastructure, geodata
Organization: Google Open Buildings (by HDX)
Mali: Humanitarian Needs

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.

Tags: gender and age disaggregated data-gadd, humanitarian needs overview-hno, hxl, people in need-pin
Organization: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
Zambia: Google Building Footprints

This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km² and was carried out during May 2023.  
  

Each building in this dataset includes a polygon describing its footprint size on the ground and a confidence score indicating how sure this is a building. There is no information about the type of building, its street address, or any details other than its geometry.  
  

The HDX team curates these datasets at [Google Open Buildings (by HDX)](https://data.humdata.org/organization/google-open-buildings) using international boundaries from the UN Geospatial Hub.  
  

For more details, see the official website of the [Open Buildings dataset](https://sites.research.google/gr/open-buildings/).

Tags: facilities-infrastructure, geodata
Organization: Google Open Buildings (by HDX)
Saint Vincent and the Grenadines: Google Building Footprints

This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km² and was carried out during May 2023.  
  

Each building in this dataset includes a polygon describing its footprint size on the ground and a confidence score indicating how sure this is a building. There is no information about the type of building, its street address, or any details other than its geometry.  
  

The HDX team curates these datasets at [Google Open Buildings (by HDX)](https://data.humdata.org/organization/google-open-buildings) using international boundaries from the UN Geospatial Hub.  
  

For more details, see the official website of the [Open Buildings dataset](https://sites.research.google/gr/open-buildings/).

Tags: facilities-infrastructure, geodata
Organization: Google Open Buildings (by HDX)
South Sudan: Google Building Footprints

This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km² and was carried out during May 2023.  
  

Each building in this dataset includes a polygon describing its footprint size on the ground and a confidence score indicating how sure this is a building. There is no information about the type of building, its street address, or any details other than its geometry.  
  

The HDX team curates these datasets at [Google Open Buildings (by HDX)](https://data.humdata.org/organization/google-open-buildings) using international boundaries from the UN Geospatial Hub.  
  

For more details, see the official website of the [Open Buildings dataset](https://sites.research.google/gr/open-buildings/).

Tags: facilities-infrastructure, geodata
Organization: Google Open Buildings (by HDX)
Somalia: Google Building Footprints

This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km² and was carried out during May 2023.  
  

Each building in this dataset includes a polygon describing its footprint size on the ground and a confidence score indicating how sure this is a building. There is no information about the type of building, its street address, or any details other than its geometry.  
  

The HDX team curates these datasets at [Google Open Buildings (by HDX)](https://data.humdata.org/organization/google-open-buildings) using international boundaries from the UN Geospatial Hub.  
  

For more details, see the official website of the [Open Buildings dataset](https://sites.research.google/gr/open-buildings/).

Tags: facilities-infrastructure, geodata
Organization: Google Open Buildings (by HDX)
El Salvador: Google Building Footprints

This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km² and was carried out during May 2023.  
  

Each building in this dataset includes a polygon describing its footprint size on the ground and a confidence score indicating how sure this is a building. There is no information about the type of building, its street address, or any details other than its geometry.  
  

The HDX team curates these datasets at [Google Open Buildings (by HDX)](https://data.humdata.org/organization/google-open-buildings) using international boundaries from the UN Geospatial Hub.  
  

For more details, see the official website of the [Open Buildings dataset](https://sites.research.google/gr/open-buildings/).

Tags: facilities-infrastructure, geodata
Organization: Google Open Buildings (by HDX)
Ecuador - 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
Sudan: Google Building Footprints

This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km² and was carried out during May 2023.  
  

Each building in this dataset includes a polygon describing its footprint size on the ground and a confidence score indicating how sure this is a building. There is no information about the type of building, its street address, or any details other than its geometry.  
  

The HDX team curates these datasets at [Google Open Buildings (by HDX)](https://data.humdata.org/organization/google-open-buildings) using international boundaries from the UN Geospatial Hub.  
  

For more details, see the official website of the [Open Buildings dataset](https://sites.research.google/gr/open-buildings/).

Tags: facilities-infrastructure, geodata
Organization: Google Open Buildings (by HDX)
Nigeria: Google Building Footprints

This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km² and was carried out during May 2023.  
  

Each building in this dataset includes a polygon describing its footprint size on the ground and a confidence score indicating how sure this is a building. There is no information about the type of building, its street address, or any details other than its geometry.  
  

The HDX team curates these datasets at [Google Open Buildings (by HDX)](https://data.humdata.org/organization/google-open-buildings) using international boundaries from the UN Geospatial Hub.  
  

For more details, see the official website of the [Open Buildings dataset](https://sites.research.google/gr/open-buildings/).

Tags: facilities-infrastructure, geodata
Organization: Google Open Buildings (by HDX)
Niger: Google Building Footprints

This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km² and was carried out during May 2023.  
  

Each building in this dataset includes a polygon describing its footprint size on the ground and a confidence score indicating how sure this is a building. There is no information about the type of building, its street address, or any details other than its geometry.  
  

The HDX team curates these datasets at [Google Open Buildings (by HDX)](https://data.humdata.org/organization/google-open-buildings) using international boundaries from the UN Geospatial Hub.  
  

For more details, see the official website of the [Open Buildings dataset](https://sites.research.google/gr/open-buildings/).

Tags: facilities-infrastructure, geodata
Organization: Google Open Buildings (by HDX)
Malawi: Google Building Footprints

This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km² and was carried out during May 2023.  
  

Each building in this dataset includes a polygon describing its footprint size on the ground and a confidence score indicating how sure this is a building. There is no information about the type of building, its street address, or any details other than its geometry.  
  

The HDX team curates these datasets at [Google Open Buildings (by HDX)](https://data.humdata.org/organization/google-open-buildings) using international boundaries from the UN Geospatial Hub.  
  

For more details, see the official website of the [Open Buildings dataset](https://sites.research.google/gr/open-buildings/).

Tags: facilities-infrastructure, geodata
Organization: Google Open Buildings (by HDX)
Mozambique: Google Building Footprints

This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km² and was carried out during May 2023.  
  

Each building in this dataset includes a polygon describing its footprint size on the ground and a confidence score indicating how sure this is a building. There is no information about the type of building, its street address, or any details other than its geometry.  
  

The HDX team curates these datasets at [Google Open Buildings (by HDX)](https://data.humdata.org/organization/google-open-buildings) using international boundaries from the UN Geospatial Hub.  
  

For more details, see the official website of the [Open Buildings dataset](https://sites.research.google/gr/open-buildings/).

Tags: facilities-infrastructure, geodata
Organization: Google Open Buildings (by HDX)
Madagascar: Google Building Footprints

This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km² and was carried out during May 2023.  
  

Each building in this dataset includes a polygon describing its footprint size on the ground and a confidence score indicating how sure this is a building. There is no information about the type of building, its street address, or any details other than its geometry.  
  

The HDX team curates these datasets at [Google Open Buildings (by HDX)](https://data.humdata.org/organization/google-open-buildings) using international boundaries from the UN Geospatial Hub.  
  

For more details, see the official website of the [Open Buildings dataset](https://sites.research.google/gr/open-buildings/).

Tags: facilities-infrastructure, geodata
Organization: Google Open Buildings (by HDX)
Haiti: Humanitarian Needs

This data was consolidated by OCHA on behalf of the Humanitarian Country Team and partners. It provides a shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance. It represents a consolidated evidence base and helps inform joint strategic response planning.

Tags: gender and age disaggregated data-gadd, humanitarian needs overview-hno, hxl, people in need-pin
Organization: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
Kenya: Google Building Footprints

This large-scale open dataset consists of outlines of buildings derived from high-resolution 50 cm satellite imagery. It contains 1.8B building detections in Africa, Latin America, Caribbean, South Asia and Southeast Asia. The inference spanned an area of 58M km² and was carried out during May 2023.  
  

Each building in this dataset includes a polygon describing its footprint size on the ground and a confidence score indicating how sure this is a building. There is no information about the type of building, its street address, or any details other than its geometry.  
  

The HDX team curates these datasets at [Google Open Buildings (by HDX)](https://data.humdata.org/organization/google-open-buildings) using international boundaries from the UN Geospatial Hub.  
  

For more details, see the official website of the [Open Buildings dataset](https://sites.research.google/gr/open-buildings/).

Tags: facilities-infrastructure, geodata
Organization: Google Open Buildings (by HDX)