AndreaBozzo/ceres-open-data-index huggingface dataset:
Syrian Arab 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
GeoPoll Research: Voices from Central America

Central America continues to confront a complex mix of socio-economic and political headwinds in 2025. Most, if not all, contries in the region have faced slow recoveries from the pandemic, high costs of living, and in some cases political turmoil or endemic violence. Trust in government is fragile, migration pressures have surged – the United States has seen historic highs in migrant encounters at its southern border in recent years. Within the region, however, there are important contrasts: El Salvador’s aggressive anti-gang campaign has sharply reduced crime, while Nicaragua’s authoritarian crackdown has quashed dissent but driven tens of thousands into exile. Panama, a higher-income outlier, enjoys relative economic stability but struggles with inequality and a recent influx of transiting migrants.

To capture the “voices” of ordinary Central Americans in this context, GeoPoll conducted a computer-assisted telephone survey using random-digit dialing (RDD) in El Salvador, Guatemala, Honduras, Nicaragua, and Panama. 1,750 adults were interviewed by phone, stratified by geography and and other demographics to ensure national representativeness in each of the countries. Interviews were conducted in Spanish, and respondents were assured of confidentiality to encourage honest feedback. Key research questions centered on:

- What are people’s biggest daily challenges and worries for the future?
- How do they view their personal safety and economic situation?
- Are they considering migration, and why?
- And what, in their own words, do they say about the role of governments and international actors in their lives?

Get the full report with commentary and analysis here: [https://www.geopoll.com/blog/geopoll-report-voices-from-central-america/](https://www.geopoll.com/blog/geopoll-report-voices-from-central-america/)

Tags: affected population, baseline population, border crossings, complex emergency-conflict-security, economics, food security, governance and civil society, migration, population, socioeconomics, youth
Organization: Mobile Accord, Inc. (GeoPoll)
Indonesia: 2018 Earthquake-Tsunami in Palu

Imagery captured by Digital Globe on 2 October 2018 of Palu, Indonesia.  The data is available as a service https://www.arcgis.com/home/item.html?id=d0ff196041e04e0d8d3a09e1e435625d where the tiffs can also be downloaded.

Tags: earthquake-tsunami, geodata
Organization: Esri
Chad: 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
Türkiye: 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
Ukraine: 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
Uruguay: 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
South Sudan: 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
Sudan: Socio Economic Impacts of Internal Displacement

This dataset, collected by the NRC with local partners, provides quantitative and qualitative data and financial information to assess the economic and non-economic impacts of internal displacement due to conflict and violence in eight Sudanese states. Utilizing IDMC's socioeconomic impact assessment tool combined with NRC's multi-sectoral needs assessment tool, the survey explores livelihoods, housing, health, security, and education for both internally displaced persons (IDPs) and host communities.

The methodology, developed in 2019, allows for data disaggregation by sex, age, disability, income, education, origin, displacement duration, and ethnolinguistic identity to identify overlapping vulnerabilities. Data was compiled using systematic random sampling, random walk, and respondent-driven sampling with a 95% confidence level and 5% margin of error, aiming for gender balance.

While not nationally representative, the findings are representative of displaced populations in the surveyed sites. The report, "Bursting at the Seams: The Impact of War and Displacement on Sudan’s Eastern Cities," available on the NRC website, presents a proportion-based analysis of the collected data. The initial data collection covered Red Sea, Kassala, Gedeaf, Northern, White Nile, and Blue Nile states, with a second round focusing on River Nile and Sennar. Specific localities within these states are also covered.

A proportion-based analysis was conducted based on responses received by respondents for each of the survey questions. The results of the analysis have been published and can be found here: https://www.nrc.no/resources/reports/bursting-at-the-seams-the-impact-of-war-and-displacement-on-sudans-eastern-cities


Tags: conflict-violence, displacement, forced displacement, internally displaced persons-idp, natural disasters
Organization: Internal Displacement Monitoring Centre (IDMC)
Saint Kitts and Nevis: High Resolution Population Density Maps + Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Saint Kitts and Nevis: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Tags: baseline population, children, demographics, elderly, geodata, health, men, women, youth
Organization: AI for Good at Meta
MapSwipe Results: Myanmar Built Up Areas

MapSwipe results focusing on areas with at least one building. This data is collected through the MapSwipe platform, whereby humans visually check for the presence of buildings using satellite imagery (Esri World Imagery for Myanmar). It combines results from several MapSwipe projects listed below. In the download files below the 'results_yes_maybe' are the results and the original input areas are 'aois'.

 Source MapSwipe Projects

- [Myanmar: Find - Buildings - Earthquake Response (2)](https://mapswipe.org/en/projects/-OMTfDy03ThqukWPeBVp/)
- [Myanmar: Find - Buildings - Earthquake Response (3)](https://mapswipe.org/en/projects/-OMqANF17XQSJaxob4LN/)
- [Myanmar: Find - Buildings - Earthquake Response (4)](https://mapswipe.org/en/projects/-OMunaJmhQt4kOIb2gGH/)
- [Myanmar: Find - Buildings - Earthquake Response (5)](https://mapswipe.org/en/projects/-OMutBu0Xcoqv7TNQCsl/)
- [Myanmar: Find - Buildings - Earthquake Response (6)](https://mapswipe.org/en/projects/-ONJMQSebtiitGYE3kgQ/)
- [Myanmar: Find - Buildings - Earthquake Response (7)](https://mapswipe.org/en/projects/-ONJNeX0h63Pw5jpLp7y/)
- [Myanmar: Find - Buildings - Earthquake Response (8)](https://mapswipe.org/en/projects/-ON_t1ETBDR2H4nqVxiA/)

Tags: facilities-infrastructure, geodata
Organization: Humanitarian OpenStreetMap Team (HOT)
Qlik Sense Template-COD-CMR

(Beta) Qlik Sense COD template app and its source data including the administrative hierarchy table and geographical data (KML).   The KML files in this data set are optimized for Qlik Sense and are not the substitute for the original COD data sets used in the GIS applications.  To see the differences, refer CAVEATS/COMMENTS in the Metadata.  The data set is currently under the user acceptance testing phase.

Organization: ITOS (inactive)
Mali Qlik Sense Template-COD

(Beta) Qlik Sense COD template app and its source data including the administrative hierarchy table and geographical data (KML).   The KML files in this data set are optimized for Qlik Sense and are not the substitute for the original COD data sets used in the GIS applications.  To see the differences, refer CAVEATS/COMMENTS in the Metadata.  The data set is currently under the user acceptance testing phase.

Tags: geodata, hxl
Organization: ITOS (inactive)
Central America - Population Growth

The dataset presents the economic indicator 'population growth rate (annual percentage)' for El Salvador, Nicaragua, Honduras, and Guatemala. This indicator represents the annual growth rate of the population, including all residents, regardless of their legal status or citizenship. The data have been assessed based on information obtained from the World Bank.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: economics, population, socioeconomics
Organization: Acción contra el hambre - GIS4tech
Central America - Migrants Detained at the US Border

The dataset presents the total number of migrants detained at the U.S. border according to their nationality (El Salvador, Guatemala, Honduras, and Nicaragua), providing a comparison with the total number of detentions recorded nationwide. The data are periodically updated using advanced data collection techniques and document scraping from U.S. Customs and Border Protection.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: migration
Organization: Acción contra el hambre - GIS4tech
Central America - International Tourists

The dataset shows the indicator for the number of international tourists who visited El Salvador, Nicaragua, Honduras, and Guatemala between 1995 and 2022, broken down by total number of tourists and regions of origin: Africa, the Americas, East Asia, and the Pacific. These statistics come from reliable reports that allow monitoring the development of tourism in the region. They have been assessed based on information obtained from the World Tourism Organization (UNWTO).

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: economics, socioeconomics
Organization: Acción contra el hambre - GIS4tech
Burundi - Gitega Province: Operational Presence

This dataset contains Who, What, Where and When (4W) data for the province of Gitega 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). 

Tags: hxl, operational partners, operational presence, who is doing what and where-3w-4w-5w
Organization: Fields Data
Central America - Government Spending

Government spending represents the total expenditures made by a country's public sector over a year. The metric 'Government Spending (% GDP)' indicates the annual percentage of GDP that each country (El Salvador, Guatemala, Honduras, and Nicaragua) spends, compared to the Central American average. Similarly, 'Government Spending per capita in dollars ($)' compares the expenditure per person in each of these countries against the Central American average. This data is assessed based on information obtained from Datosmacro.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: economics, socioeconomics
Organization: Acción contra el hambre - GIS4tech
Central America - Gross Domestic Product (GDP) in US dollars

This dataset shows the evolution of per capita Gross Domestic Product (GDP) in US dollars in El Salvador, Guatemala, Honduras, and Nicaragua, comparing GDP per capita. The data has been assessed based on the information obtained from World Bank Group.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: economics, socioeconomics
Organization: Acción contra el hambre - GIS4tech
Central America - Basic Food Prices in USD

Evolution over time of basic food prices in Guatemala, Nicaragua and Honduras expressed in US dollars (USD) according to different sources of information.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: agriculture-livestock, markets
Organization: Acción contra el hambre - GIS4tech
REACH Central African Republic 2022 Multi-Sectoral Needs Assessment (MSNA), Results table

The 2022 Multi-Sectoral Needs Assessment (MSNA), conducted by the REACH Initiative in close collaboration with the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) and mandated by the Inter-cluster Coordination Group (ICCG), aims to understand the multi-sectoral and sector-specific needs, circumstances, and vulnerabilities of households across the entire territory of the Central African Republic. It also aims to understand specific needs and vulnerabilities of population groups, namely non-displaced households, returnees, internally displaced persons (IDPs) living in host communities, and IDPs living at sites. 

The needs assessment covers protection, health, mental health, WASH, Shelter and NFI, Education, food security, livelihoods and disabilities, as well as the perception of and satisfaction with humanitarian aid (AAP).

The 2022 MSNA was conducted through a statistically representative household survey across 66 accessible sub-prefectures (admin2) out of the 72 sub-prefectures of the country. The inaccessible sub-prefectures were evaluated using a Key Informant survey. In consultation with key humanitarian partners and actors, a joint set of indicators, questions, and answer choices were developed for the assessment of needs in the context of the Central African Republic. All surveys were conducted through face-to-face interviews, using the tablet-based Kobo Collect Open Data Kit (ODK) app.

Household data collection took place from July 20 to September 18, 2022. A total of 12,347 households were assessed after data cleaning. Data is statistically representative at a 92% confidence level and a +/- 10% margin of error with a buffer of 10% for the entire population on the level of sub-prefectures (admin2) and higher levels, and for specific population groups on the level of prefectures (admin1) and higher levels.

Tags: education, food security, health, needs assessment, non-food items-nfi, protection, shelter, water sanitation and hygiene-wash
Organization: REACH Initiative
Encuesta de Hospitales

**English Description** -
The following contains weekly operational data of hospitals in Venezuela, inventory of health supplies, administrative entity, geographic location and type of hospital. The collection of this data is a crowdsource effort under a survey template that provides an image of the current situation of hospitals in Venezuela

**Descripción en Español** - 
Esta data contiene data semanal de las operaciones en los hospitales de Venezuela, inventario de suministro de salud, gerencia del hospital, zona geográfica y el tipo de hospital. El método de recolección de esta data es a través de múltiples fuentes voluntarias en el terreno en una encuesta estandarizada. La encuesta tiene como objetivo mostrar la situación actual de hospitales en Venezuela. 


Tags: geodata, health, health facilities
Organization: Code for Venezuela
AI-Detected Missing Roads

NEWER ROAD MAPPING DATA CAN BE FOUND IN THE OVERTURE MAPS FOUNDATION RELEASES: https://overturemaps.org/

In conjunction with OpenStreetMap, we are creating tools that we hope will enable the mapping community to enjoy a faster & more accurate mapping experience. To this end, we used artificial intelligence to predict features on high-resolution satellite imagery; these features are then populated in our RapiD map editing tool. When combined with global-scale humanitarian efforts, we hope RapiD can help realize our vision of a more connected world. Find out more: https://mapwith.ai/

Tags: facilities-infrastructure, geodata, roads
Organization: AI for Good at Meta
Bangladesh - 2019 Multi Sectoral Needs Assessment # 2 ('In-depth' Assessment for 2020 JRP)

In successive waves over four decades, Rohingya refugees have been fleeing to Bangladesh from Rakhine State, Myanmar, where they have suffered systematic, ongoing persecution. Since August 2017, an estimated 745,000 Rohingya refugees have fled into Cox’s Bazar, Bangladesh, increasing the total number of Rohingya refugees to more than 900,000. Most of the newly-arrived refugees have settled in hilly, formerly-forested areas that are vulnerable to landslides and flash-flooding in monsoon season, and rely heavily on humanitarian assistance to cover their basic needs. As the crisis moves beyond the initial emergency phase, comprehensive information on the needs and vulnerabilities of affected populations is needed in order to inform the design and implementation of effective inter-sectoral programming.

To this aim, a comprehensive Joint Multi-Sector Needs Assessment (J-MSNA) was conducted among the host community to support humanitarian planning and enhance the ability of operational partners to meet the strategic aims of donors and coordinating bodies. The J-MSNA was conducted in support of the 2019 Rohingya Crisis MSNA Strategy, with the specific objectives of (1) Providing a comprehensive evidence base of household-level multi-sectoral needs for the 2020 Joint Response Plan; and (2) Providing the basis for a joint multi-stakeholder analysis process. 

The J-MSNA was implemented and coordinated through the MSNA Technical Working Group of the Information Management and Assessment Working Group (IMAWG), led by the Inter-Sector Coordination Group and comprised of the following members: UNHCR, IOM Needs and Population Monitoring (NPM), ACAPS, WFP VAM, Translators without Borders, and REACH.

Tags: migration, needs assessment, refugee crisis, refugees
Organization: Inter Sector Coordination Group