AndreaBozzo/ceres-open-data-index huggingface dataset:
Northern and Central Africa - VIIRS Active Fire Detections

Near-real-time active fire and thermal anomaly detections from NASA's [Fire Information for Resource Management System (FIRMS)](https://firms.modaps.eosdis.nasa.gov/active_fire/) covering **Northern and Central Africa**, derived from the **VIIRS** sensor family (Suomi-NPP since 2011, NOAA-20 since 2017, NOAA-21 since 2022).

Each resource is an external link directly to a NASA-hosted file. The files are continuously updated as new satellite overpasses are processed (typically within 3 hours of acquisition).

**Formats:** SHP, KML, CSV

**Time windows:** Last 24h, 48h, 7d


Tags: climate hazards, environment, geodata, hazards and risk, natural disasters
Organization: NASA Fire Information for Resource Management System
Sea Ports of Central African Republic

Sea ports and ferry terminals tagged via `amenity`, `building`, or `port`. Useful for maritime logistics, supply-chain analysis, and coastal access planning.

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), [port](https://wiki.openstreetmap.org/wiki/Key:port)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: facilities-infrastructure, geodata, ports
Organization: Humanitarian OpenStreetMap Team (HOT)
Airports of Central African Republic

Airports and aviation infrastructure: airports, heliports, helipads, runways, terminals, and emergency landing sites tagged via `aeroway`, `building`, or `emergency`. Useful for logistics, evacuation routing, and aerial-response planning.

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: [aeroway](https://wiki.openstreetmap.org/wiki/Key:aeroway), [building](https://wiki.openstreetmap.org/wiki/Key:building), [emergency](https://wiki.openstreetmap.org/wiki/Key:emergency)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: aviation, facilities-infrastructure, geodata
Organization: Humanitarian OpenStreetMap Team (HOT)
Second-level administrative divisions (admin2)

This layer shows the different administrative boundaries (levels: 2) used in the UNHCR GIS system. It is mostly from governments and official sources but also other UN bodies or NGOs.  The  OCHA CODs and Pcodes are examined and considered. The boundaries and names do not imply official endorsement or acceptance by the United Nations.

Tags: administrative boundaries-divisions, geodata
Organization: UNHCR - The UN Refugee Agency
Railways of Kenya

Railway lines and stations tagged `railway=*`: rail lines, tram tracks, and stations. Useful for transport accessibility analysis and basemap 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: [railway](https://wiki.openstreetmap.org/wiki/Key:railway)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: facilities-infrastructure, geodata, railways, transportation
Organization: Humanitarian OpenStreetMap Team (HOT)
Education Facilities of Afghanistan

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)
Airports of Madagascar

Airports and aviation infrastructure: airports, heliports, helipads, runways, terminals, and emergency landing sites tagged via `aeroway`, `building`, or `emergency`. Useful for logistics, evacuation routing, and aerial-response planning.

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: [aeroway](https://wiki.openstreetmap.org/wiki/Key:aeroway), [building](https://wiki.openstreetmap.org/wiki/Key:building), [emergency](https://wiki.openstreetmap.org/wiki/Key:emergency)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: aviation, facilities-infrastructure, geodata
Organization: Humanitarian OpenStreetMap Team (HOT)
Cultural Places of Colombia

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)
Sea Ports of Burkina Faso

Sea ports and ferry terminals tagged via `amenity`, `building`, or `port`. Useful for maritime logistics, supply-chain analysis, and coastal access planning.

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), [port](https://wiki.openstreetmap.org/wiki/Key:port)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: facilities-infrastructure, geodata, ports
Organization: Humanitarian OpenStreetMap Team (HOT)
Financial Services of Lebanon

Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic 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: [amenity](https://wiki.openstreetmap.org/wiki/Key:amenity)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: economics, geodata
Organization: Humanitarian OpenStreetMap Team (HOT)
Australia and New Zealand - MODIS Active Fire Detections

Near-real-time active fire and thermal anomaly detections from NASA's [Fire Information for Resource Management System (FIRMS)](https://firms.modaps.eosdis.nasa.gov/active_fire/) covering **Australia and New Zealand**, derived from the **MODIS** sensor family (Terra since 2000, Aqua since 2002).

Each resource is an external link directly to a NASA-hosted file. The files are continuously updated as new satellite overpasses are processed (typically within 3 hours of acquisition).

**Formats:** SHP, KML, CSV

**Time windows:** Last 24h, 48h, 7d


Tags: climate hazards, environment, geodata, hazards and risk, natural disasters
Organization: NASA Fire Information for Resource Management System
USA (Contiguous & Hawaii) - VIIRS Active Fire Detections

Near-real-time active fire and thermal anomaly detections from NASA's [Fire Information for Resource Management System (FIRMS)](https://firms.modaps.eosdis.nasa.gov/active_fire/) covering **USA (Contiguous & Hawaii)**, derived from the **VIIRS** sensor family (Suomi-NPP since 2011, NOAA-20 since 2017, NOAA-21 since 2022).

Each resource is an external link directly to a NASA-hosted file. The files are continuously updated as new satellite overpasses are processed (typically within 3 hours of acquisition).

**Formats:** SHP, KML, CSV

**Time windows:** Last 24h, 48h, 7d


Tags: climate hazards, environment, geodata, hazards and risk, natural disasters
Organization: NASA Fire Information for Resource Management System
Canada - Landsat Active Fire Detections

Near-real-time active fire and thermal anomaly detections from NASA's [Fire Information for Resource Management System (FIRMS)](https://firms.modaps.eosdis.nasa.gov/active_fire/) covering **Canada**, derived from the **Landsat** sensor family (Landsat 8 since 2013, Landsat 9 since 2021).

Each resource is an external link directly to a NASA-hosted file. The files are continuously updated as new satellite overpasses are processed (typically within 3 hours of acquisition).

**Formats:** SHP, KML, CSV

**Time windows:** Last 24h, 48h, 7d (Landsat KML uses an animated 48-hour file in place of the 7-day one.)


Tags: climate hazards, environment, geodata, hazards and risk, natural disasters
Organization: NASA Fire Information for Resource Management System
Airports of Haiti

Airports and aviation infrastructure: airports, heliports, helipads, runways, terminals, and emergency landing sites tagged via `aeroway`, `building`, or `emergency`. Useful for logistics, evacuation routing, and aerial-response planning.

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: [aeroway](https://wiki.openstreetmap.org/wiki/Key:aeroway), [building](https://wiki.openstreetmap.org/wiki/Key:building), [emergency](https://wiki.openstreetmap.org/wiki/Key:emergency)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: aviation, facilities-infrastructure, geodata
Organization: Humanitarian OpenStreetMap Team (HOT)
Chad - Socio-economic assessment of refugees in Gozamir and Belom camps 2015

In 2014/2015, WFP and UNHCR, the Government's main partners in providing assistance to refugees,  conducted a "socio-economic categorization" in select refugee camps in Chad. This dataset covers a total of 12,643 households in the Gozamir and Belom refugee camps.

Tags: asylum seekers, conflict-violence, forced displacement, livelihoods, refugees
Organization: UNHCR - The UN Refugee Agency
Ethiopia - Rivers

The dataset "Ethiopia - Rivers" represents the river lines of Ethiopia, sourced from DIVA-GIS. It provides vector data indicating the locations of rivers across the country. The dataset falls under the Inland Waters category, which includes features related to drainage systems, water utilization plans, and hydrological characteristics. The data is available for public access. The dataset was published on August 14, 2017, and it can be downloaded or viewed through the ICPAC Geoportal.

Tags: rivers, water sanitation and hygiene-wash
Organization: 3iS
Uganda- Kamuli District: Operational Presence

This dataset contains Who, What, Where and When (4W) data for the district of Kamuli in Uganda for the year 2021. 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
Türkiye and Syria Earthquake - Key Figures

Key Figures extracted from OCHA daily Situation Reports.

On 6 February as a 7.7 magnitude earthquake struck southern Türkiye at 4:17 am. This is Türkiye's most powerful earthquake recorded since 1939. At least 78 aftershocks have been reported followed by a second earthquake of 7.5 magnitude at 13:24 with the epicenter in Ekinozu/Kahramanmaras province. Tremors were reportedly felt in Gaziantep and neighboring provinces. The Government of Türkiye has since issued a Level 4 alarm, calling for international assistance.

Tags: casualties, damage assessment, earthquake-tsunami, hxl
Organization: HDX
2010 Tropical Cyclone Bandu Path

<p>This layer shows the path followed by Tropical Cyclone Bandu. Early on Saturday, 22 May 2010, Tropical Storm 02A moved into the Gulf of Aden and was named "Bandu." At that time, Bandu had maximum sustained winds near 45 knots (52 mph) and was 50 miles north-northwest of Cape Guardafui, Somalia. The storm hit Bari Region in northern Somalia, resulting in flooding and displacement of approximately 12,000 people. TC Bandu quickly dissipated because of cooler waters, higher wind shear and drier air in the Gulf of Aden. It curved southwest and made landfall in northeast Somalia</p>

<p>On May 26, OCHA reported flooding in parts of Belet Weyne town, Hiran Region, due to embankment breaches along the Shabelle River as a result of 2010 TC Bandu, displacing an estimated 17,000 people. According to the FAO Somalia Water and Land Information Management Project (SWALIM), flooding also damaged crops and resulted in the displacement of a combined population of nearly 2,000 people in Jamaame town, Lower Juba Region, as well as Afgooye and Kurtunwaarey districts, Lower Shabelle Region.</p>

Tags: flooding, geodata, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Myanmar State and Region Boundaries with Sub-regions MIMU  v9.4

Polygons of Myanmar State, Region and Union territory boundaries (Admin1) with Sub-regions, based on the latest MIMU Pcode version 9.4 and information provided by field offices and government departments. Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU.

This dataset was mainly digitized at 1:250,000 scale. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the host governments. 

Tags: administrative boundaries-divisions, geodata
Organization: Myanmar Information Management Unit (MIMU)
Kayah State Village Tract Boundaries MIMU v9.4

Polygons of Village Tract boundaries (Admin4) for the Kayah State, based on the latest MIMU Pcode version 9.4 . Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU.

Place names are in line with the general cartographic practice to reflect the names of such places as designated by the host governments. The United Nations encourages authorities to review place names which include terms that may be viewed or perceived as derogatory.  

Tags: administrative boundaries-divisions, geodata
Organization: Myanmar Information Management Unit (MIMU)
Sluice Gates in Myanmar

Non-authoritative dataset of >300  sluice gates (with geographic coordiates for 274 sluice gates) in Myanmar.
A sluice gate is a water control structure used to regulate the flow of water in rivers, canals, and irrigation systems. In agricultural settings, especially for large areas, sluice gates are vital for managing water levels, preventing flooding, and ensuring adequate irrigation. They are typically adjustable, allowing farmers to control water flow, direct it to fields, or block it to prevent water damage during storms or heavy rains. For Myanmar, esp. in the low lying delta areas installed, sluice gates are essential to protect farmland from flooding.
Dataset produced by CDE Myanmar based on publicly available reference date (esp. GAD Township profiles 2019 and IWUMD website), enhanced with local knowledge and determining geographic coordinates using mostly large scale satellite/google satellite. 
Attribute data available for most sluice dates include 
- the river/stream name the sluice gate provides protection from
- the size of the gate
- the construction material
- the construcction period (year of start & completion)
- the size of the protected area
- Township name

Creation methodology:
- create excel masterlist from GAD and IWUMD, incl. attributes and assign unique code.
- based on the reference data location maps and textual location information, identification of sluice gate cooridinates on Google/Bing imagery.
- addition of sluice gate data based on local knowledge
- cleanup of data, standardization of attributes and correcting typos

Known issues: 
- dataset may be out of date (GAD township profiles from 2019, IWUMD data from 2023)
- for 65 (out of 339 known sluice gates) no geographic coordinates could be determined
- for 42 sluice gates, the geographic coordinates are "best-guess", meaning that there is a possibility that the reference data from GAD/IWUMD and the sluice gate identified in google/bing imagery may not indicate the same sluice gate
- reference data from GAD and IWUMD may be incomplete, thus leading to missing sluice gates in this dataset
- for some sluice gates, attribute data is missing or incomplete
- some sluice gates may be non-functional or destroyed

Spatial dataset created based on 1:5.000 - 1:2.000 scaled imagery.

Tags: flooding, geodata, populated places-settlements
Organization: Myanmar Information Management Unit (MIMU)
University of Honduras Hurricane Eta geoportal

This dataset provides the Web Map Service  (WMS) layers described below and a tutorial document for consuming the WMS layers in ArcGIS.

[Link to overall Geoportal website](https://geoportalouot.unah.edu.hn/maps/74/edit).
Links to specific layers on the Geoportal are embedded below.

[Albergues (Shelters)](https://geoportalouot.unah.edu.hn/layers/geonode_data:geonode:Albergues_Copeco):  Albergues registrados por el Centro de Operaciones de Emergencia Nacional (COEN) de COPECO (Shelters registered by the National Emergency Operations Center (COEN) of COPECO)

[Datos COVID19 por Departamento (COVID19 Data by Department)](https://geoportalouot.unah.edu.hn/layers/geonode_data:geonode:Deptos_Casos_Muertes_HN):  Número de casos totales, muertos y recuperados, por Departamento (Number of total cases, dead and recovered, by Department)

[Eventos_ETA (ETA events)](https://geoportalouot.unah.edu.hn/layers/geonode_data:geonode:Eventos_ETA):  Mapeo de incidentes durante la tormenta ETA (Incident mapping during the ETA storm)

[Fallas Geologicas Centroamerica (Central America Geological Faults)](https://geoportalouot.unah.edu.hn/layers/geonode_data:geonode:Fallas_Geologicas_CA)

[Incidencias ETA por Municipio (ETA incidents by Municipality)](https://geoportalouot.unah.edu.hn/layers/geonode_data:geonode:Incidencias_Municipio_ETA):  Reporte de las incidencias registradas por el Centro de Operaciones de Emergencia Nacional (COEN) de COPECO, a nivel municipal (Report of incidents registered by the COPECO National Emergency Operations Center (COEN), at the municipal level)

[Limite Aldeas de Honduras (Honduras village limits)](https://geoportalouot.unah.edu.hn/layers/geonode_data:geonode:Limite_Aldeas_HN)

[Limite Departamental de Honduras (Departmental Limit of Honduras = Administrative level 2)](https://geoportalouot.unah.edu.hn/layers/geonode_data:geonode:Departamentos_Honduras)

[Limite Municipal de Honduras (Municipal Limit of Honduras = Administrative level 1)](https://geoportalouot.unah.edu.hn/layers/geonode_data:geonode:Limite_Municipal_HN)

[Limite Nacional de Honduras (National Boundary of Honduras = Administrative level 0)](https://geoportalouot.unah.edu.hn/layers/geonode_data:geonode:limite_nacional_2011)


NOTES ON CODS:

The P-coded Common Operational Dataset boundaries for administrative levels 0, 1, and 2 are available at [Honduras - Subnational Administrative Boundaries](https://data.humdata.org/dataset/honduras-admin-level-1-boundaries).

The accompanying Common Operational Dataset 2020 projected sex and age disaggregated population statistics for administrative level 0, 1, and 2 are available at [Honduras - Subnational Population Statistics](https://data.humdata.org/dataset/proyecciones-de-poblacion-por-area-y-sexo-segun-departamento-y-municipio).

Tags: cyclones-hurricanes-typhoons
Organization: OCHA Latin America and the Caribbean (ROLAC)
Somalia Regions hit by 1984 Tropical Cyclone 1A

<p>This was the first documented tropical cyclone to move through the Gulf of Aden.In May 28,1984 TC1A storm struck about 65Km (40 miles) west of Berbera, Somalia and quickly dissipated. The storm had maximum wind speeds of 23m/s before dissipating. This layer shows the occurence of the tropical cyclone in Woqooyi Galbeed province, Somalia.</p>

<p>1984 TC 1A remained a compact system throughout its life. Even at its maximum intensity of 45 kt (23 m/s) between 00002 and 06002 on 27 May, the radius of greater than 30 kt (15 m/s) winds was estimated to be only 60 nm (111 km).&nbsp;</p>
<p>The cyclone moved north-westward until late on the 26th, then turned to the west-southwest and entered the Gulf of Aden in response to a strong subtropical ridge over Saudi Arabia.The storm then transited up the Gulf of Aden until it made landfall at 03002 on 28 May, approximately 35 nm (65 Km) west of Berbera, Somalia.</p>
<p>There were no reports of damages or injuries from this system.</p>

Tags: geodata, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Cultural Places of Haiti

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)