AndreaBozzo/ceres-open-data-index huggingface dataset:
Northwest Syria: Ambulance Operations

The White Helmets' ambulance services in Northwest Syria provide crucial and timely medical assistance. Our fleet of strategically stationed 150 ambulances to ensure rapid response to various emergencies, including bombings, natural disasters, and traffic accidents. Each vehicle is staffed with highly trained staff who offer first aid and life-saving interventions on route to medical centers. The teams work closely with search and rescue, firefighting sectors, and local hospitals to enhance service effectiveness and safety measures. This coordination has significantly improved emergency medical response times, embodying the White Helmets' mission to protect and preserve human life

Tags: health
Organization: The White Helmets
Northwest Syria: Women and Family Healthcare Services

The White Helmets operate 39 Women and Family Healthcare Centers in northwest Syria, providing essential health services, especially to vulnerable people. These centers focus on general community health and maternal care, offering primary health examinations, medical consultations, and awareness activities. Services are delivered within the centers and, when needed, through visits to camps or homes for special cases. They also provide psychological support and physical rehabilitation, enhancing overall community health. The centers are staffed by female personnel, ensuring culturally sensitive care and improving accessibility for women, especially in emergency situations.

Tags: health, health facilities
Organization: The White Helmets
Northwest Syria: Search and Rescue Operations

The White Helmets tirelessly safeguard Syrian communities. Amid rising temperatures and the harvest season, they have launched a comprehensive plan to combat agricultural fires, strategically placing response points across key regions. Their efforts also extend to rescuing civilians from traffic accidents and water rescue operations, highlighting their crucial role in emergency response. This year, they have already extinguished significantly more fires compared to previous years, underscoring their dedication to protecting lives and livelihoods in Syria.

Tags: urban search and rescue-usar
Organization: The White Helmets
Somalia: IOM DTM Settlements

List of urban and rural settlements in Somalia collected through DTM Baseline 2 (B2) exercise. B2 is a component of the Mobility Tracking which aims to quantify presence of population categories, reasons for displacement, length of displacement and needs within defined locations at a given time. The settlement location is collected through GPS devices.
Disclaimer: information on settlement type is still being verified. Settlements in Galmudug and Banadir regions may be revised in the coming months due to final data checks.

Tags: displacement, geodata, populated places-settlements
Organization: International Organization for Migration (IOM)
Peru - DTM Round1 Flow monitoring of venezuelan migration

In Peru, according to official sources, between January and September of 2017, in the border crossing CEBAF Tumbes, more than 103,000 Venezuelan were registered entering, of which, more than 64% entered after June. Likewise, in the PCF of Santa Rosa, on the southern border, a total of 47,342 Venezuelan exits to Chile were registered up to October of this year.

The current increase in migratory flows imposes the need to carry out an exhaustive monitoring of it in order to promote an orderly migration, safe and in human conditions - hand in hand with the stakeholders-. Thus, there is a need to know a profile of the Venezuelan migrant, the characteristics and dynamics of the migratory route.

The DTM Round 1 had questions related to Profile of Venezuelan migrant, Migratory status,  Migratory route, Place of transit, Difficulties on the route, Situation in the transit country and others fields.

Tags: displacement, migration
Organization: International Organization for Migration (IOM)
Colombia - PiN Clúster Educación en Emergencias

Esta base contiene el resultado final del cálculo de las severidades, la Población en Necesidad (PiN) y las desagregaciones poblacionales para el Clúster de Educación en Emergencias, Colombia 2024. 

Tags: children, education, humanitarian needs overview-hno, people in need-pin
Organization: 3iS
WFP and FAO Overview of Countries Affected by the El Niño

This dataset contains a list of the countries affected by the El Niño as at April 21, 2016 as reported jointly by FAO, the Global Food Security Cluster and WFP on 21 April 2016 in the [2015-2016 El Niño: WFP and FAO Overview](http://www.foodsecuritycluster.net/document/2015-2016-el-nino-wfp-and-fao-overview) update. According to the World Bank, El Niño is likely to have a negative impact in more isolated local food markets, and many countries are already facing increased food prices. Food Security Cluster partners have implemented preparedness activities and are responding in countries where the effects of El Niño have materialised, such as Ethiopia, Papua New Guinea, Malawi and throughout Central America. In Southern Africa, many areas have seen the driest October-December
period since at least 1981, and some 14 million people in the region are already facing hunger, which adds to fears of a spike in the numbers of the food insecure later this year through 2017.

Tags: el nino-el nina, food security, geodata, humanitarian needs overview-hno, nutrition
Organization: HDX
Ukraine Displacement Data - Returnees [IOM DTM]

International Organization for Migration (IOM) conducted the rapid representative assessment of the general population in Ukraine to gather insights into internal displacement and mobility flows, and to assess local needs. The geographical scope of the assessment covers the entire territory of Ukraine, all six macro-regions (West, East, North, Center, South, and the city of Kyiv), with the exception of the Crimean peninsula. The dataset contains individual number of returnees at macro-region level.

Tags: affected population, displacement, hxl, returnees
Organization: International Organization for Migration (IOM)
Volcano - Population Exposure Index(GVM)

A comprehensive set of information on global volcanic hazard, historical events, population exposure, vulnerability, and impact has been provided to GAR15 by Global Volcano Model (GVM) and The International Association of Volcanology and Chemistry of the Earth’s Interior (IAVCEI). This work is the first of its kind in global coverage and level of contribution from a wide network of experts and institutions around the world.

Tags: geodata, hazards and risk, natural disasters
Organization: United Nations Office for Disaster Risk Reduction (UNDRR)
Ukraine Displacement Data: IDP Estimates  [IOM DTM]

IOM conducted  rapid representative surveys of the general population in Ukraine to gather initial insights into internal displacement and mobility flows, and to assess local needs. While Displacement Tracking Matrix tools are being established, this general population survey will serve as a preliminary source to identify areas with high humanitarian needs and to inform the targeting of response aiming to assist the conflict-affected population. The geographical scope of the survey covers all five macro-regions (West, East, North, Center, South, and the city of Kyiv). The probabilistic sample, representative at macro-region level, was constructed through a random‐digit‐dial (RDD) approach, and 2,000 respondents aged 18 and over were interviewed using the computer assisted telephone interviewing (CATI) method. Those currently outside Ukraine were not interviewed. Population estimates assume that children travel together with their adult guardians. The estimates rely on the UNFPA population data for Ukraine, agreed upon as the common population baseline by the humanitarian community.

Tags: conflict-violence, displacement, hxl, internally displaced persons-idp
Organization: International Organization for Migration (IOM)
Venezuela (Bolivarian Republic of): 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 Venezuela
Honduras: 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 Latin America and the Caribbean (ROLAC)
Guatemala: 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 Latin America and the Caribbean (ROLAC)
El Salvador: 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 Latin America and the Caribbean (ROLAC)
Burundi- Cankuzo Province: Operational Presence

This dataset contains Who, What, Where and When (4W) data for the province of Cankuzo in Burundi. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when). This 4W for Burundi combines OCHA's 4W dataset together with newly discovered information by fieldata.org experts from the field.

Tags: hxl, operational partners, operational presence, who is doing what and where-3w-4w-5w
Organization: Fields Data
Socio economic impacts of internal displacement in Sierra Leone

This dataset contains both quantitative and qualitative data, as well as financial information, measuring the impacts of internal displacement in Plantain Island, Sierra Leone as a result of rising sea levels. It includes data on both economic and non-economic losses experienced by internally displaced people (IDPs) and host communities and covers various dimensions such as livelihoods, housing, health, security and education.

Methodology: Developed in 2019, IDMC’s survey tool collects quantitative and qualitative data, as well as financial information, to measure the impacts of internal displacement. The survey captures both economic and non-economic losses experienced by internally displaced people (IDPs) and host communities and covers key dimensions including livelihoods, housing, health, security and education. It allows for data disaggregation by sex, age, disability status, income and education levels, area of origin, duration of displacement and ethnolinguistic identity, helping to identify overlapping vulnerabilities.

Data compilation process: Data was collected using a combination of random walk and respondent-driven sampling techniques. On Plantain Island, enumerators employed a random walk approach to select participants, while in Tombo and Tissana, respondent-driven sampling was used to identify people displaced from the island.

Primary sources: IDMC and the Sierra Leone National Disaster Management Agency (NDMA).

Tags: displacement, forced displacement, internally displaced persons-idp, natural disasters
Organization: Internal Displacement Monitoring Centre (IDMC)
Socio economic impacts of internal displacement in Northwest Nigeria

This dataset contains both quantitative and qualitative data and financial information to measure the impacts of internal displacement in Northwest Nigeria as a result of conflict and violence. The survey covers both economic and non-economic losses for IDPs and host communities and is structured to explore various aspects of livelihoods, land access, housing, health, security and education.

Methodology:Developed in 2019, IDMC’s survey tool collects quantitative and qualitative data and financial information to measure the impacts of internal displacement. The survey covers both economic and non-economic losses for IDPs and host communities. It is structured to explore various aspects of livelihoods, housing, health, security and education. The survey allows data to be disaggregated by sex, age, disability status, income and education levels, area of origin, duration of displacement and ethnolinguistic identity. This helps to reveal overlapping vulnerabilities. The survey also incorporates FAO’s land availability tool, which assess land availability, access and tenure security, agricultural production, livelihoods and opportunities, as well as social cohesion to inform durable solutions in rural and peri urban areas.

Data compilation process: Data collection for this study was conducted using a combination of random walk and respondent-driven sampling techniques. Enumerators employed random walk approach to select participants.
Primary sources: This data was collected on behalf of IDMC and FAO by an external provider, Ipsos Group S.A. Ipsos is a multinational market research company.
Additional analysis: A proportion-based analysis was conducted based on responses received by respondents for each of the survey questions. The results of the analysis are currently being compiled in a final report for publication.

Data limitations: The findings that can be extrapolated from this dataset are not nationally representative of the national contexts wherein they were conducted and are indicative of the situation of people displaced by disasters living in those sites.
Geographic coverage: 2 LGA in Sokoto State – Tangaza and Tureta.

Tags: conflict-violence, displacement, forced displacement, internally displaced persons-idp, natural disasters
Organization: Internal Displacement Monitoring Centre (IDMC)
Albania: 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
Argentina: 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
Regional Refugee and Migrants Response Plan (RMRP) Activities

The full dataset of the RMRP 2023-24, including activities, partners, population projections, people in need, target and reached estimates disaggregated by age and gender, and population type at Admin 1 level. 
More info on the R4V website: https://www.r4v.info/en/data

Tags: affected population, demographics, funding, humanitarian response plan-hrp, indicators, needs assessment, operational partners, operational presence, people in need-pin, refugees
Organization: Inter-Agency Coordination Platform for Refugees and Migrants from Venezuela
Azerbaijan: 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
Bulgaria: 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
Belarus: 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
Bolivia (Plurinational State 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
Central African Republic: 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