AndreaBozzo/ceres-open-data-index huggingface dataset:
Countries affected by the 2015/16 El Nino

This dataset contains a list of 42 countries that are of particular concern for both WFP and FAO due to their climatic risk (both on-going and potential) due to the 2015/16 El Niño. Food Security Cluster (FSC) presence is indicated for each affected country. The presence of other coordination structures with FSC monitoring is also indicated for each country in the dataset.

Tags: el nino-el nina, geodata, who is doing what and where-3w-4w-5w
Organization: HDX
Flood analysis for Myanmar (11 July 2015)

This is "Flood vectors - Sentinel-1 (11 July 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 18,990 satellite detected water bodies with a spatial extent of 6,593.12 square kilometers derived from the Sentinel-1 image acq...

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Flood analysis for Myanmar (09 August 2015)

This is "Flood vectors - Radarsat-2 (09 August 2015)" of the Flood analysis for Myanmar which began on 03 July 2015. It includes 38,793 satellite detected water bodies with a spatial extent of 1,374.71 square kilometers derived from the Radarsat-2 image a...

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
COD Admin 0 Benin geojson simplified geometries from gistmaps live service source

This dataset is of simplified geometries from COD live services deployed August 2019. Simplification methods applied from ESRI libraries using Python, Node.js and Mapshaper.js and based on adapted procedures for best outcomes preserving shape, topology and attributes. These data are not a substitute for the original COD data sets used in GIS applications. No warranties of any kind are made for any purpose and this dataset is offered as-is. Versions of topojson, kml and csv are also available. For a list of other simplified CODs see the address list: https://github.com/UGA-ITOSHumanitarianGIS/mapservicedoc/raw/master/Data/AWSDeploymentURLlist.xlsx

Tags: geodata
Organization: ITOS (inactive)
COD Admin 0 Dem. Rep. of the Congo geojson simplified geometries from gistmaps live source

This dataset is of simplified geometries from COD live services deployed September 2019. Simplification methods applied from ESRI libraries using Python, Node.js and Mapshaper.js and based on adapted procedures for best outcomes preserving shape, topology and attributes. These data are not a substitute for the original COD data sets used in GIS applications. No warranties of any kind are made for any purpose and this dataset is offered as-is. Versions of topojson, kml and csv are also available. For a list of other simplified CODs see the address list: https://github.com/UGA-ITOSHumanitarianGIS/mapservicedoc/raw/master/Data/AWSDeploymentURLlist.xlsx

Tags: geodata
Organization: ITOS (inactive)
RDC stock de personnes retournées au 31 mai 2025

Ce fichier contient le stock de personnes retournées au 31 mai 2025. A noter que seuls les personnes retournées au cours de la période de décembre 2023 et mai 2025 (18 derniers mois) sont concernées.

Tags: returnees
Organization: OCHA Democratic Republic of the Congo (DRC)
Crop production: Humanitarian Response Plan (HRP) Countries Exposure Data for Disaster Risk Assessment

Historical and twenty-first century crop production in tons. Global gridded (4km resolution) crop yield simulations for maize, rice, soybean, and wheat, encompassing an ensemble of transient yield simulation output from eight global gridded crop models driven by bias-corrected output from five global climate models, as facilitated by the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP, isimip.org)



Tags: geodata, hazards and risk, humanitarian response plan-hrp, hxl
Organization: ETH Zürich - Weather and Climate Risks
Satellite detected water extents between 13 & 17 November 2020 in Honduras

**UNOSAT code: TC20201116HND**  This map illustrates satellite-detected surface waters (cumulative) aggregated using NOAA20-VIIRS in Honduras between 13 and 17 November 2020. Based on Worldpop spatial demographic data, about 140,000 people are exposed or living close to flooded areas. The potentially exposed population is mainly located in the department of Cortes with ~80,000 people, Choluteca with ~23,000 people, and Valle with ~14,000 people. 
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)
South Sudan Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2011

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

South Sudan Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2011

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Zambia Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2015

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Zambia Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2015

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Zambia Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2014

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Zambia Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2014

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Zambia Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2011

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Zambia Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2011

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Geodata of Saturated Soils Over Jowhar Middle Shabelle Region, Somalia

This map illustrates satellite-detected areas of potentially saturated soils and probable flood waters in the Jowhar, Middle Shabelle region of Somalia. Using satellite imagery acquired 30 October 2015 and 02 January 2015, UNITAR-UNOSAT identified a total affected area of roughly 54,000 hectares in the Shabelle Dhexe and Hoose provinces. As of 30 October 2015, approximately 41,500 hectares of possibly saturated wet soils, as well as about 12,200 hectares of probable standing flood waters were detected over the districts of Jowhar, Balcad and, Afgooye. 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)
Djibouti Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2014

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Djibouti Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2014

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Djibouti Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2012

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Djibouti Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2012

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Malawi Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2016

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Malawi Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2016

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Djibouti Current Situation FEWS NET Acute Food Insecurity Classifications Geographic Data for 2012

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Djibouti Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2012

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Mauritania Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2011

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Mauritania Medium Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2011

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
Zambia Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic Data for 2017

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived.

Zambia Near Term Projection  FEWS NET Acute Food Insecurity Classifications Geographic data for 2017

Tags: food security, integrated food security phase classification-ipc
Organization: FEWS NET
LitPop: Humanitarian Response Plan (HRP) Countries Exposure Data for Disaster Risk Assessment

A high-resolution asset exposure dataset produced using 'lit population' (LitPop), a globally consistent methodology to disaggregate asset value data proportional to a combination of nightlight intensity and geographical population data. Exposure data for population, asset values and productive capital at 4km spatial resolution globally, consistent across country borders. The dataset offers value for manifold use cases, including globally consistent economic disaster risk assessments and climate change adaptation studies, especially for larger regions, yet at considerably high resolution. The [Climada Data API](https://climada.ethz.ch/data-types/) can be used to explore the full, original datasets.



Tags: geodata, hazards and risk, humanitarian response plan-hrp, hxl
Organization: ETH Zürich - Weather and Climate Risks
Mozambique: Health Facilities

Health Resource and Health Service Availability Monitoring Systems (HeRAMS) is a collaborative effort between WHO, MISAU, and SPS to collect information on the status of health facilities in terms of functionality and availability of health services, particularly in areas experiencing humanitarian crises or adverse climatic hazards that have disrupted health services. As a result, having a clear picture of where and why health services are unavailable or inaccessible provides health partners with crucial information for responding effectively in the provision of critical health care services to the impacted population.

Tags: cluster system, complex emergency-conflict-security, conflict-violence, disease, geodata, health, health facilities, indicators, nutrition
Organization: World Health Organization
Education Under Attack

Data extracted from the Global Coalition to Protect Education from Attack (GCPEA)’s flagship report, Education Under Attack. The report is the result of independent research conducted by GCPEA. 

Generous support for the report was provided by the Education Above All Foundation, the Norwegian Ministry of Foreign Affairs, and an anonymous donor. Columbia University’s Mailman School of Public  Health contributed in-kind research support. For more information, visit protectingeducation.org.

Tags: conflict-violence, education, education facilities-schools, hxl
Organization: Education and Conflict Monitor
Afghanistan: HRP 2022 Response Monitoring Data

HRP 2022 response monitoring data. This data – produced by OCHA on behalf of the humanitarian community in Afghanistan – provides an analysis of the drivers of needs and an overview of the resources required to support people targeted for assistance. Furthermore, it provides an account of the humanitarian system’s collective achievements. Humanitarian Action also serves as the publication platform for planning, monitoring and financial tracking data managed in HPC. tools and the Financial Tracking Service (FTS). 

Tags: humanitarian needs overview-hno, humanitarian response plan-hrp
Organization: OCHA Afghanistan
Indonesia Women Involvement in Parliament, 2010-2017_v2

This dataset contains the proportion of parliamentary seats occupied by females by province (admin 1), 2010-2017. The percentage of women in parliamentary have remained stagnant for more than 15 years, with national involvement rates at 17.32% in 2017. This data was published by BPS. The data is available in MS. Excel (XLS) format: https://www.bps.go.id/dynamictable/2018/08/15/1570/-idg-keterlibatan-perempuan-di-parlemen-menurut-provinsi-2010-2017.html

Tags: governance and civil society, women
Organization: International Federation of Red Cross and Red Crescent Societies (IFRC)
Satellite detected waters extent in Dongola, Algolid & Alborgag districts, Northern State, Sudan as of 26 August 2022

**UNOSAT code: FL20220816SDN**  This map illustrates satellite-detected surface waters in Dongola, Algolid & Alborgag districts, Northern State as observed from a Sentinel-2 image acquired on 26 August 2022 at 10:45 local time. Within the analyzed area of about 11,900 km2, about 82 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, about 3,500 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)
Satellite detected water extents in Kombo North/St Marie District, Brikama Region, Gambia as of 5 August 2022

**UNOSAT code: FL20220801GMB**  This map illustrates satellite-detected surface waters in Kombo North/St Marie District, Brikama Region, Gambia as observed from a Sentinel-2 image acquired on 5 Aug 2022 at 11:33 local time. Within the analyzed area of about 2,340 hectares, about 22 hectares of lands appear to be flooded and about 3 km of road appear to be likely affected by the flood waters.
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)
Satellite detected water extents between 3 & 7 of September 2021 in Dosso, Niamey, Tahoua and Tillaberi regions of Niger

**UNOSAT code: FL20210908NER**  This map illustrates the extent of surface waters (cumulative) in Dosso, Niamey, Tahoua and Tillaberi regions of Niger as detected by VIIRS-NOAA satellite between the 3rd & the 7th of September 2021. Within the analyzed cloud free zones of about 230,000 km2, a total of about 310 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 45,000 people are potentially exposed or living close to flooded areas. The potentially exposed population is mainly located in the region of Dosso with ~26,700 people, Tillabéri with ~10,900 people and Tahoua with ~6,600 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)
Satellite detected water extent as of 09 September 2021 in Guidan Roumdji and Ville de Maradi departments, Niger

**UNOSAT code: FL20210908NER**  This map illustrates the extent of surface waters in Guidan Roumdji, Madarounfa and Ville de Maradi departments, Maradi Region as observed from a Sentinel-2 image acquired on 09 September 2021. Within the analyzed area of about 5,900 km2, based on Worldpop population data and the detected surface waters, about 90,000 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)
Satellite detected waters extent in Barbar District, River Nile State, Sudan as of 20 August 2022

**UNOSAT code: FL20220816SDN**  This map illustrates satellite-detected surface waters in Barbar district, River Nile State as observed from a Sentinel-2 image acquired on 20 August 2022 at 10:25 local time. Within the analyzed area of about 780 km2, about 43 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, about 7,800 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)
Afghanistan - Who does What Where (October to December 2016)

The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed [here](https://www.humanitarianresponse.info/en/operations/afghanistan/3w). 

Tags: operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Satellite  detected water extent over Guli District, White Nile State of Sudan as of 14 September 2021

**UNOSAT code: FL20210907SDN**  This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 
satellite image acquired on 14 September 2021 over the Guli District, White Nile State of Sudan. In this area, about 55 km2 of croplands appear to be likely affected by the flood waters.
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)
Yemen Civilian Impact Incidents and Civilian Casualties

The Civilian Impact Monitoring Project (CIMP) is a monitoring mechanism for real-time collection, analysis and dissemination of open source data on the civilian impact from armed violence in Yemen, with the purpose of informing and complementing protection programming.
CIMP is a service under the United Nations Protection Cluster for Yemen and, since going live on 01 August 2018, has reported in real-time on the impact of incidents of armed violence on civilians at the national level, divided into 5 hubs: Al-Hudaydah, Sa’ada, Sana’a, Aden and Ibb.
The dataset contains the total number of incidents of armed violence reported to have impacted upon civilians each month since December 2017, and the total number of civilian casualties reported each month and per hub. 


Tags: casualties, conflict-violence, hxl
Organization: Civilian Impact Monitoring Project (inactive)
Yemen Impact on Civilian Infrastructure.

The Civilian Impact Monitoring Project (CIMP) is a monitoring mechanism for real-time collection, analysis and dissemination of open source data on the civilian impact from armed violence in Yemen, with the purpose of informing and complementing protection programming. CIMP is a service under the United Nations Protection Cluster for Yemen and, since going live on 01 August 2018, has reported in real-time on the impact of incidents of armed violence on civilians at the national level, divided into 5 hubs: Al-Hudaydah, Sa’ada, Sana’a, Aden and Ibb. The dataset shows the number of incidents to have impacted upon civilian houses, farms, vehicles, businesses and markets and the number of incidents to have impacted upon civilian infrastructure sites since December 2017.

Tags: damage assessment, facilities-infrastructure, hxl
Organization: Civilian Impact Monitoring Project (inactive)
[Archived] DR Congo - Ebola Cases and Deaths in the Equateur region Ebola oubreak

Number of confirmed, probable and suspected Ebola cases and deaths in the Equateur region Ebola outbreak in May 2018.in the Democratic Republic of the Congo (DRC) according to [WHO Ebola situation reports](http://www.who.int/ebola/situation-reports/drc-2018/en/ ). The figures are presented at national level as well as disaggregated to health zone level. Figures are cumulative.

The World Health Organisation (WHO) declared the outbreak over on July 24 2018.

On 1 August 2018, the Ministry of Health of the Democratic Republic of the Congo declared a new outbreak of Ebola virus disease in North Kivu Province. [The data for this new outbreak is available here.](https://data.humdata.org/dataset/ebola-cases-and-deaths-drc-north-kivu)


Tags: affected population, disease, fatalities, humanitarian needs overview-hno, hxl
Organization: HDX
Satellite  detected water extent over Aj Jabalain District, White Nile State of Sudan as of 12 September 2021

**UNOSAT code: FL20210907SDN**  This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a satellite KANOPUS-V image acquired on 12 September 2021 over the Aj Jabalain District, White Nile State of Sudan. In this area, about 170 km2 of croplands appear to be likely affected by the flood waters.
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)
Dominica - Distribution Tracking Matrix

This dataset contains distribution tracking data for water, food, NFIs and shelter items in Dominica in the aftermath of Hurricane Irma.

The coordination team in Dominica has been working with partners to make the data as accurate as possible. Please share your distribution to any locations directly to the available dataset created by the team in Dominica or send your information or queries to hurricanemaria2017@undac.org

Tags: cyclones-hurricanes-typhoons, food security, non-food items-nfi, shelter, water sanitation and hygiene-wash, who is doing what and where-3w-4w-5w
Organization: OCHA Latin America and the Caribbean (ROLAC)
Damage Assessment in La Paz Town, Abra Province, Cordillera Administrative Region, Philippines

**UNOSAT code: EQ20220727PHL**  This map illustrates potentially damaged buildings and damaged buildings in La Paz Town, Abra Province, Cordillera Administrative Region, Philippines as detected by Pléiades satellite image acquired on 29 July 2022. Within the analyzed area, UNOSAT has identified 8 potentially damaged buildings. 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: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)