AndreaBozzo/ceres-open-data-index huggingface dataset:
Albania - GLIDE Disaster Events

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered
in a record that contains a GLIDEnumber that uniquely identifies it and allows
information to be interoperable across multiple disaster information sources, both
structured and textual.

Accessing disaster information can be a time consuming and laborious task. Not only is
data scattered but frequently identification of the disaster can be confusing in
countries with many disaster events and across borders. To address both of these issues,
Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for
disasters.

Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX),
UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on
the Epidemiology of Disasters (CRED), among many others.


Tags: climate hazards, disease, drought, earthquake-tsunami, epidemics-outbreaks, flooding, hazards and risk, health, natural disasters
Organization: GLIDE Initiative
Angola - GLIDE Disaster Events

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered
in a record that contains a GLIDEnumber that uniquely identifies it and allows
information to be interoperable across multiple disaster information sources, both
structured and textual.

Accessing disaster information can be a time consuming and laborious task. Not only is
data scattered but frequently identification of the disaster can be confusing in
countries with many disaster events and across borders. To address both of these issues,
Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for
disasters.

Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX),
UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on
the Epidemiology of Disasters (CRED), among many others.


Tags: climate hazards, disease, drought, epidemics-outbreaks, flooding, hazards and risk, health, natural disasters
Organization: GLIDE Initiative
Venezuela Earthquakes: Rapid Needs Assessment (RNA)

ES: 

La Evaluación Rápida de Necesidades (RNA) tuvo como objetivo proporcionar información sobre el impacto del terremoto de junio de 2026 en Venezuela y las necesidades prioritarias para apoyar la toma de decisiones y la priorización geográfica y sectorial de la respuesta humanitaria durante la fase inicial de la emergencia.

La evaluación cubrió parroquias (admin3) del Distrito Capital y del estado La Guaira, y todos los municipios (admin2) de los estados Aragua, Carabobo, Falcón, Miranda y Yaracuy. Los resultados se presentan a nivel de parroquia o municipio, según corresponda.

EN:

The Rapid Needs Assessment (RNA) aimed to provide timely information on the impact of the June 2026 earthquakes in Venezuela and on priority needs to support evidence-based decision-making and the geographic and sectoral prioritization of the humanitarian response during the initial phase of the emergency.

The assessment covered parishes (admin3) in Distrito Capital and La Guaira State, as well as municipalities (admin2) in the states of Aragua, Carabobo, Falcón, Miranda, and Yaracuy. Results are reported at the parish or municipality level, as appropriate.


Tags: crisis-venezuela-earthquake, needs assessment
Organization: REACH Initiative
Flooding in the Philippines on July 11, 2026

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of July 11, 2026, as observed through available satellite imagery. The dataset can be used to track the progression of floods over time, identify areas at risk, and assess the impact of these natural disasters on infrastructure, agriculture, and local populations.

Tags: affected area, climate hazards, cyclones-hurricanes-typhoons, damage assessment, disaster risk reduction-drr, flooding, geodata, natural disasters
Organization: The Philippine Space Agency
Venezuela - Building Damage Analysis

Damage assessment outputs on Venezuela Earthquake June 2026, powered by Google Earth AI's models.</br>

All authorized uses of the Materials must include the following attribution:</br></br>
"*Buildings Data: Powered by Google Earth AI's Open Buildings model
Damage Assessment: DISHA powered by Google Earth AI's Damage Assessment models*" </br></br>
Where the Materials are incorporated into reports, briefings, or other outputs, the following acknowledgment must also be included: </br></br>
"*This material is derived from DISHA, an AI initiative led by UN Global Pulse and implemented by the United Nations Office for Project Services (UNOPS). No use may be made of the name, acronym, emblem, or official seal of UNOPS or UN Global Pulse except for the limited attribution set out above and in accordance with applicable United Nations policies.*"

Tags: crisis-venezuela-earthquake, damage assessment
Organization: Data Insights for Social and Humanitarian Action(DISHA)
Venezuela - M 7.5 Earthquake - June 2026 - OSM & Overture Data

This dataset contains OpenStreetMap data exported from the HOTOSM disaster mapping response to the magnitude 7.5 Earthquake that struck Venezuela in June 2026, Glide: EQ-2026-000093-VEN.

On Wednesday, June 24, 2026, Venezuela was struck by two of the most powerful earthquakes the country has seen in over a century. The back-to-back tremors caused widespread destruction, particularly in the capital and along the northern coast. Both earthquakes caused widespread damage across the country, particularly in La Guaira and the capital, Caracas.

This dataset bundles nine layers from two sources:

* OpenStreetMap layers: buildings, roads, points of interest, health facilities, education facilities, airports, sea ports.
* Overture Maps layers: buildings (machine-derived footprints that fill gaps where OSM is sparse) and emergency facilities (hospitals, pharmacies, fire, police, ambulance/EMS).

It covers the area affected by the M7.5 earthquake in Venezuela, including the epicentral region and the urban areas of Caracas and La Guaira (bounding box: 69.76°W–65.78°W, 8.70°N–11.51°N).

OSM layers have been updated by volunteers through the Humanitarian OpenStreetMap Team's Tasking Manager. It is updated as mapping progresses. Full extent (AOI) of the updated OSM buildings data can be found in the file TM Project Extent. Subscribe to this dataset to be notified of any new updates.

Tasking Manager Projects for this event are accessible [here](https://tasks.hotosm.org/explore?campaign=2026+Venezuela+Earthquake&omitMapResults=1&status=PUBLISHED%2CARCHIVED%2CDRAFT&orderBy=id&orderByType=DESC).

Building density and building predictions are produced by fAIr (https://fair.hotosm.org). fAIr building density and predictions cover the Caracas and La Guaira urban areas only.

More details about the activation can be found [here](https://portal.hotosm.org/en/plan/1b604573-8b3d-4506-b372-ccd55fa1c700)  

Damage assessment validation data in this area can be found [here](https://data.humdata.org/dataset/venezuela-m-7-5-earthquake-building-damage-assessment)

Tags: crisis-venezuela-earthquake, earthquake-tsunami, education, education facilities-schools, facilities-infrastructure, geodata, health facilities, natural disasters, roads, transportation
Organization: Humanitarian OpenStreetMap Team (HOT)
Somalia Displacement - [IDPs] -  Emergency Trends Tracking (ETT)

In response to Somalia’s severe drought beginning in November 2021, DTM Somalia launched an Emergency Trends Tracking (ETT) tool first in Gedo and Bay regions in 2022, and subsequently in Hiraan, Banadir and Middle Shabelle regions in 2023 to monitor drought related displacement trends and hotspots in support of operational planning. However, during the first half of 2023, conflict- and flood-related displacement has been significant. Therefore, DTM restructured its ETT tool to capture multi-shock displacements (drought, flood, conflict and other) from October 2023. In April 2024, ETT was conducted to monitor displacement movements during the Gu rainy season. In February 2025, another round of ETT was initiated to monitor displacement movements during the Jilaal dry season. The latest round of ETT was initiated in June 2026 to monitor displacement due to conflict and the climatic impacts of the Super El Niño phenomenon, which is expected to cause significant displacement toward the end of the year.

ETT is a crisis-based tool that tracks sudden displacement triggered by specific events or emerging crises. Its objective is to support the prioritization of humanitarian response and enable partners to deliver rapid assistance. Based on previous shock-induced displacement patterns, the humanitarian community expects continued movement toward urban areas in search of services. Consequently, ETT coverage focuses on the main urban centers and surrounding villages within each assessed district.

The latest assessment was conducted from July 05 to 08, 2026.

Tags: affected area, affected population, hxl, internally displaced persons-idp
Organization: International Organization for Migration (IOM)
Global: Adjusted net attendance rate, one year before the official primary entry age

The participation rate in organized learning (one year before the official primary entry age), by sex as defined as the percentage of children in the given age range who participate in one or more organized learning programme, including programmes which offer a combination of education and care. Participation in early childhood and in primary education are both included. The age range will vary by country depending on the official age for entry to primary education.

Tags: children, education, indicators, youth
Organization: UNICEF Data and Analytics (HQ)
Global: Prevalence of anaemia in women aged 15-49 (Modeled Estimates)

Percentage of women aged 15-49 years with a haemoglobin level less than 120 g/L for non-pregnant women and lactating women, and less than 110 g/L for pregnant women, adjusted for altitude and smoking

Tags: children, covid-19, indicators, men, nutrition, women
Organization: UNICEF Data and Analytics (HQ)
Global: Internally displaced persons

Internally displaced persons are persons or groups of persons who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of or in order to avoid the effects of armed conflict, situations of generalized violence, violations of human rights or natural or human-made disasters, and who have not crossed an internationally recognized State border

Tags: children, covid-19, indicators, migration
Organization: UNICEF Data and Analytics (HQ)
Global: Proportion of population using basic sanitation services

Proportion of the population using an improved sanitation facility that is not shared with other households (improved facilities include: flush/pour flush to piped sewerage systems, septic tanks or pit latrines; ventilated improved pit latrines; composting toilets or pit latrines with slabs)

Tags: children, indicators, services, water sanitation and hygiene-wash
Organization: UNICEF Data and Analytics (HQ)
Global: Life expectancy at birth - number of years newborn female children would live if subject to the mortality risks prevailing for the cross section of population at the time of their birth (estimated)

Life expectancy at birth - number of years newborn female children would live if subject to the mortality risks prevailing for the cross section of population at the time of their birth (estimated)

Tags: children, female, indicators, men, mortality
Organization: UNICEF Data and Analytics (HQ)
Global: Refugees, by country of asylum

Persons who have current refugee status, granted either before arrival or upon arrival in the receiving country. Those with status granted before arrival in the receiving country include resettled refugees, and those who were living abroad at the time of application and whose application for permanent residence was considered concurrently with that of the protected person already living in the country. Refugee status can be granted on the basis of the 1951 Convention and the 1967 Protocol or pertinent regional instruments. The group may also include persons who qualify as refugees under national legal systems. Only refugees under the UNHCR mandate are covered here

Tags: children, indicators, migration, refugees
Organization: UNICEF Data and Analytics (HQ)
Global: Percentage of children (aged 24-59 months) with whom any adult household member has engaged in 4 or more activities to provide early stimulation and responsive care in the last 3 days

Percentage of children (aged 24-59 months) with whom any adult household member has engaged in 4 or more activities to provide early stimulation and responsive care in the last 3 days

Tags: children, covid-19, indicators, protection
Organization: UNICEF Data and Analytics (HQ)
Global: Proportion of population using at least basic drinking water services

Percentage of the population using an improved drinking water source, where collection time is not more than 30 minutes for a round trip including queuing (improved sources include: piped water; boreholes or tubewells; protected dug wells; protected springs; rainwater; and packaged or delivered water)

Tags: children, indicators, services, water sanitation and hygiene-wash
Organization: UNICEF Data and Analytics (HQ)
Global: Careseeking for diarrhoea - percentage of children (under age 5) with diarrhoea for whom advice or treatment was sought from a health facility or provider

Careseeking for diarrhoea - percentage of children (under age 5) with diarrhoea for whom advice or treatment was sought from a health facility or provider

Tags: children, health, indicators, men
Organization: UNICEF Data and Analytics (HQ)
Global: Proportion of adolescents and adults (aged 15 years and older) with an account at a financial institution or mobile money service provider

The percentage of adults (ages 15+) who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or personally using a mobile money service in the past 12 months

Tags: children, demographics, gender, indicators, youth
Organization: UNICEF Data and Analytics (HQ)
Global: Per cent of people (aged 15-49 years) expressing discriminatory attitudes towards people living with HIV

Per cent of people (aged 15-49) who respond no to either of two questions relating to HIV stigma: 1) Would you buy fresh vegetables from a shopkeeper or vendor if you knew that this person had HIV? 2) Do you think that children living with HIV should be able to attend school with children who are HIV negative?

Tags: children, demographics, indicators
Organization: UNICEF Data and Analytics (HQ)
Global: Diarrhoea treatment - percentage of children (under age 5) with diarrhoea who received ORT (oral rehydration salts or recommended homemade fluids or increased fluids) and continued feeding

Diarrhoea treatment - percentage of children (under age 5) with diarrhoea who received ORT (oral rehydration salts or recommended homemade fluids or increased fluids) and continued feeding

Tags: children, indicators, men
Organization: UNICEF Data and Analytics (HQ)
Venezuela - M 7.5 Earthquake - Damage Assessment Area

Building damage areas for the M7.5 earthquake that struck Venezuela on 24 June 2026 (GLIDE EQ-2026-000093-VEN), remotely reviewed and validated by the community.

**Method:** AI detected candidate damage areas on pre- and post-event very-high-resolution optical imagery, aggregated to an H3 grid, then MapSwipe volunteers reviewed each grid area for validation to confirm damage visible from an aerial viewpoint.
For the Field , it was crowdsourced from the community on the ground.

Note: the SAR (Sentinel-1 radar) source shown in the methodology figure is not part of this validation, as radar change is hard to confirm by visual inspection of an optical aerial image.

**Coverage:** Caraballeda, La Guaira, Caracas , Catia La Mar,  Naiguata , Moron, El Junquito & Carayaca . The dataset stays updated as areas are completed.

**Sources:**

- AI detection: HOTOSM fAIr (CC BY-NC-SA 4.0) and Microsoft AI for Good Lab (CC-BY 4.0)
- Validation: MapSwipe volunteers
- Imagery: Vantor Inc. 2026 via OpenAerialMap

**Scoring:** Each area is reviewed by multiple volunteers in MapSwipe. Verdict is the majority crowd decision at a 50% threshold. If more than half the votes agree on one answer it becomes the verdict (confirmed visible damage via aerial image/earth observation or uncertain ); otherwise if no clear majority : the area is uncertain. Every area carries its full vote breakdown, so you can re-assess with your own threshold (default 50%).

**Caveat:** The crowd‑sourced analysis data were visually confirmed by volunteer validators using only post‑earthquake aerial imagery and not ground truthed. Please examine the vote counts for each hex area and consider the overall distribution of responses as opposed to any area for full confidence. Some areas may be difficult to classify from optical imagery alone due to factors such as image resolution, the absence of comparable pre‑ and post‑event imagery, and the subjective judgments of the crowd due to which coverage won't be complete. For absolute verification data kindly check the field validated data attached within the dataset

**Full data:** https://huggingface.co/datasets/hotosm/venezuela_eq_2026

Tags: crisis-venezuela-earthquake, damage assessment, geodata, natural disasters
Organization: Humanitarian OpenStreetMap Team (HOT)
Global: Neonatal mortality rate

The neonatal mortality rate is the probability that a child born in a specific year or period will die during the first 28 completed days of life if subject to age-specific mortality rates of that period, expressed per 1000 live births.

Neonatal deaths (deaths among live births during the first 28 completed days of life) may be subdivided into early neonatal deaths, occurring during the first 7 days of life, and late neonatal deaths, occurring after the 7th day but before the 28th completed day of life.

Tags: children, health, indicators, mortality
Organization: UNICEF Data and Analytics (HQ)
Global: Coverage of essential health services

Coverage of essential health services (defined as the average coverage of essential services based on tracer interventions that include reproductive, maternal, newborn and child health, infectious diseases, non-communicable diseases and service capacity and access, among the general and the most disadvantaged population).
The indicator is an index reported on a unitless scale of 0 to 100, which is computed as the geometric mean of 14 tracer indicators of health service coverage.

Tags: children, covid-19, health, indicators, services
Organization: UNICEF Data and Analytics (HQ)
Health Facilities of Dominican Republic

Health facilities: hospitals, clinics, pharmacies, doctors, and dentists tagged via `amenity` or `healthcare`. Useful for service-access analysis, emergency response, and healthcare gap mapping.

Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge.

- Source: [OpenStreetMap](https://www.openstreetmap.org), a free, collaborative world map
- Tags: [amenity](https://wiki.openstreetmap.org/wiki/Key:amenity), [healthcare](https://wiki.openstreetmap.org/wiki/Key:healthcare)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: geodata, health, health facilities
Organization: Humanitarian OpenStreetMap Team (HOT)
Cultural Places of Côte d'Ivoire

Cultural and historic places: museums, galleries, theatres, places of worship, monuments, and historic sites tagged via `tourism`, `amenity`, `historic`, or `heritage`. Useful for heritage protection, cultural mapping, and tourism context.

Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge.

- Source: [OpenStreetMap](https://www.openstreetmap.org), a free, collaborative world map
- Tags: [tourism](https://wiki.openstreetmap.org/wiki/Key:tourism), [amenity](https://wiki.openstreetmap.org/wiki/Key:amenity), [historic](https://wiki.openstreetmap.org/wiki/Key:historic), [heritage](https://wiki.openstreetmap.org/wiki/Key:heritage)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: facilities-infrastructure, geodata, points of interest-poi
Organization: Humanitarian OpenStreetMap Team (HOT)
Cultural Places of Djibouti

Cultural and historic places: museums, galleries, theatres, places of worship, monuments, and historic sites tagged via `tourism`, `amenity`, `historic`, or `heritage`. Useful for heritage protection, cultural mapping, and tourism context.

Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge.

- Source: [OpenStreetMap](https://www.openstreetmap.org), a free, collaborative world map
- Tags: [tourism](https://wiki.openstreetmap.org/wiki/Key:tourism), [amenity](https://wiki.openstreetmap.org/wiki/Key:amenity), [historic](https://wiki.openstreetmap.org/wiki/Key:historic), [heritage](https://wiki.openstreetmap.org/wiki/Key:heritage)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: facilities-infrastructure, geodata, points of interest-poi
Organization: Humanitarian OpenStreetMap Team (HOT)
Populated Places of Ecuador

Settlements and residential areas: named cities, towns, villages, suburbs, and residential land (`place=*` and `landuse=residential`). Useful for demographic context, settlement-level targeting, and population analysis.

Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge.

- Source: [OpenStreetMap](https://www.openstreetmap.org), a free, collaborative world map
- Tags: [place](https://wiki.openstreetmap.org/wiki/Key:place), [landuse](https://wiki.openstreetmap.org/wiki/Key:landuse)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: geodata, populated places-settlements
Organization: Humanitarian OpenStreetMap Team (HOT)
Education Facilities of Djibouti

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation.

Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge.

- Source: [OpenStreetMap](https://www.openstreetmap.org), a free, collaborative world map
- Tags: [amenity](https://wiki.openstreetmap.org/wiki/Key:amenity), [building](https://wiki.openstreetmap.org/wiki/Key:building)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: education facilities-schools, geodata
Organization: Humanitarian OpenStreetMap Team (HOT)