AndreaBozzo/ceres-open-data-index huggingface dataset:
Airports of Mali

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)
Populated Places of Niger

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)
Waterways of Cameroon

Water features across the region: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental 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: [waterway](https://wiki.openstreetmap.org/wiki/Key:waterway), [water](https://wiki.openstreetmap.org/wiki/Key:water), [natural](https://wiki.openstreetmap.org/wiki/Key:natural)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: geodata, hydrology, rivers
Organization: Humanitarian OpenStreetMap Team (HOT)
Points of Interest of Burkina Faso

Points of interest: public-facing amenities, shops, tourist attractions, and landmarks tagged via `amenity`, `shop`, `tourism`, or `man_made`. Useful for general POI reference, urban analysis, and basemap detail.

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), [shop](https://wiki.openstreetmap.org/wiki/Key:shop), [tourism](https://wiki.openstreetmap.org/wiki/Key:tourism), [man_made](https://wiki.openstreetmap.org/wiki/Key:man_made)
- 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)
Roads of Lebanon

Road network across the region tagged `highway=*`: motorways, residential streets, service roads, footways, and trails. Useful for routing, accessibility analysis, and evacuation 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: [highway](https://wiki.openstreetmap.org/wiki/Key:highway)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: crisis-greater-middle-east, geodata, roads, transportation
Organization: Humanitarian OpenStreetMap Team (HOT)
Health Facilities of Mozambique

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)
Airports of Kenya

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)
Sea Ports of Afghanistan

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)
Populated Places of Ethiopia

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)
Buildings of Afghanistan

Building footprints across the region: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban 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: [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: facilities-infrastructure, geodata
Organization: Humanitarian OpenStreetMap Team (HOT)
Northern and Central Africa - 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 **Northern and Central Africa**, 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
Canada - 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 **Canada**, 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
Waterways of Kenya

Water features across the region: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental 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: [waterway](https://wiki.openstreetmap.org/wiki/Key:waterway), [water](https://wiki.openstreetmap.org/wiki/Key:water), [natural](https://wiki.openstreetmap.org/wiki/Key:natural)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: geodata, hydrology, rivers
Organization: Humanitarian OpenStreetMap Team (HOT)
Waterways of Burkina Faso

Water features across the region: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental 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: [waterway](https://wiki.openstreetmap.org/wiki/Key:waterway), [water](https://wiki.openstreetmap.org/wiki/Key:water), [natural](https://wiki.openstreetmap.org/wiki/Key:natural)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: geodata, hydrology, rivers
Organization: Humanitarian OpenStreetMap Team (HOT)
Guatemala: Incidentes Registrados

Incidentes registrados en Guatemala por el Sistema Nacional de Gestión de Riesgos, desde los años 2008 al 2022, Bajo la plataforma de SISMICEDE, y este a su vez se comparte como parte de los esfuerzos de trasparentar las acciones en Gestión de Riesgo

Tags: affected population, disaster risk reduction-drr, facilities-infrastructure, natural disasters
Organization: CONRED Guatemala (inactive)
Lebanon: Response Plan projects

Projects proposed, in progress, or completed as part of the annual Lebanon Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

**Important:** some projects in Lebanon might be missing, and others might not apply specifically to Lebanon. See _Caveats_ under the _Additional information_ tab.

Tags: humanitarian response plan-hrp, who is doing what and where-3w-4w-5w
Organization: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
Mining Areas

This is a dataset of possible mining areas in Myanmar  that was digitized from a systematic search of high-resolution imagery available on Google Earth and Bing Aerial.   Digitizing took place in late 2015 and early 2016 with the most recent imagery available (usually 2014 or 2015).   A field in the attribute table called "Certainty" indicates the how confident we were that the digitized polygon is a mine, rather than some other type of ground disturbance.

Tags: environment, geodata
Organization: Myanmar Information Management Unit (MIMU)
Somalia Regions hit by 2018 Tropical Cyclone Sagar

<p>Global Disaster Alert and Coordination System described Cyclone Sagar as one of the strongest storms ever recorded in Somalia. This was a very rare cyclone in the Gulf of Aden that made landfall in north-western Somaliland on 19 May, 2018.</p>
<p>This layer shows the occurence of TC Sagar in some regions of Somalia,including Awdal, Togdheer, Sool, Sanaag, Bari, Hiraan, Gedo and Lower Juba.The TC Sagar moved with wind gusts of up to 120 km/hour that delivered a year&rsquo;s worth of rain to some areas in the north, that is between 150 and 200mm.</p>

<p>TC Sagar was reported to have adverse impacts on Somalia regions. The United Nations Office for the Coordination of Humanitarian Affairs (OCHA) reported heavy rainfall, strong winds and dangerous flash floods hitting coastal areas of Puntland and Somaliland. This resulted in the loss of lives, crops and livestock as well as the destruction of property and infrastructure.</p>
<p>Recored impacts according to regions included:</p>
<p>Awdal, Bari, Sanaag, Sool, Togdheer</p>
<ol>
<li>Number of people affected: 228,000</li>
<li>Number of people displaced: 9,000</li>
</ol>
<p>Awdal, Hiraan, Gedo, Lower Juba&nbsp;</p>
<ol>
<li>Number of people affected:830,000</li>
<li>Number of people worst hit:170,000</li>
<li>Number of people displaced: 290,000</li>
<li>Number of people death: 50</li>
<li>Infrusructure destroyed:(20-40)schools and 21 health facilities</li>
</ol>
<p>&nbsp;</p>

Tags: geodata, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
2015 Tropical Cyclone Chapala Path

<p>This layer shows the movement path of 2015 Tropical Cyclone Chapala. On Monday 2 November 2015, Tropical Cyclone Chapala made a landfall in Yemen; however, its effects were also felt across the Gulf of Aden in Somalia where extensive rainfall was experienced in the Northern Bari region in Bosaso district, Puntland. The storm reached maximum wind speed of 130knots.&nbsp;</p>

<p>According to a joint inter-agency rapid assessment more than 500 families (4,000 people) were affected by Tropical Cyclones Chapala and Megh, most affected lived in Gardaful Region, Puntland. No human loss of life was reported, but the rainfall and waves destroyed people&rsquo;s homes, washed fishing boats and nets, killed livestock (an estimated 3,000 sheep and goats, as well as 200 camels) and caused damage/destruction to public infrastructure including hospitals, roads and schools.</p>
<p>It was also estimated that 4,000 people were displaced, with 1,129 people being worst affected, having lost their homes and livelihoods (business, fishing boats, engines and nets), which were swept away by waves. It was reported that there had been extensive damage/destruction to people&rsquo;s livelihoods, with 80 per cent of villages in Alula and 60 per cent of villages in Af Kalahay Bareda, BiyoCade, Boolimoog, Dhurbo, Fagoora, Geesalay, Murcanyo, Murcanyo, Sayn Weyn, Sayn Yar, Toxiin and Xaabo experiencing loss of livestock and damage to crops and fisheries.</p>
<p>&nbsp;</p>

Tags: geodata, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Bridges (>180ft) in Myanmar

Point location dataset of larger bridges (>180ft) in Myanmar. Co-produced by CDE & MIMU based on tabular data in GAD 2019 township profiles and local knowledge using mostly large scale satellite imagery to identify geographic location.

Dataset of >850 larger bridges (>180 ft length) listed in GADs 2019 township profiles and >270 additional bridges based on local knowledge. For over 980 of those, centerpoint geographic coordinates were identified and added to this dataset using mostly high resolution satellite imagery.
Bridge data (bridges >180ft) extracted from all GAD 2019 township profiles to an excel master list.
Identification of geographic coordinate based on bridge name & location description data, high res. Satellite information (and local knowledge)
Adding of some smaller bridges from GAD 2019 township profiles and based on local knowledge.
Master data in excel and bridge location shapefile. ArcGIS tool to combine, filter and export a cleaned product for public sharing.
Known issues: 
- Wa state townships not included as no GAD township profiles 2019 covering those areas available.
- For some bridges no location was found
- Location data based on best-guess approach (descriptive info & imagery)
- some bridges might not be fully functional or damaged in 2024
- many bridges (mostly for those not listed in the GAD township profiles) lack name information
- some attribute data (length, year built etc.) is missing/has not been included in the excel master list for bridges listed in GAD township profiles for which no coordinates were identified

Tags: facilities-infrastructure, geodata, transportation
Organization: Myanmar Information Management Unit (MIMU)
Ethiopia: Response Plan projects

Projects proposed, in progress, or completed as part of the annual Ethiopia Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

**Important:** some projects in Ethiopia might be missing, and others might not apply specifically to Ethiopia. See _Caveats_ under the _Additional information_ tab.

Tags: humanitarian response plan-hrp, who is doing what and where-3w-4w-5w
Organization: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
Southern 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 **Southern 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
Financial Services of Colombia

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)
Libya: Response Plan projects

Projects proposed, in progress, or completed as part of the annual Libya Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

**Important:** some projects in Libya might be missing, and others might not apply specifically to Libya. See _Caveats_ under the _Additional information_ tab.

Tags: humanitarian response plan-hrp, who is doing what and where-3w-4w-5w
Organization: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
Points of Interest of Kenya

Points of interest: public-facing amenities, shops, tourist attractions, and landmarks tagged via `amenity`, `shop`, `tourism`, or `man_made`. Useful for general POI reference, urban analysis, and basemap detail.

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), [shop](https://wiki.openstreetmap.org/wiki/Key:shop), [tourism](https://wiki.openstreetmap.org/wiki/Key:tourism), [man_made](https://wiki.openstreetmap.org/wiki/Key:man_made)
- 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)
Formal Sector School Location Upper Myanmar

Formal Sector Schools for Basic Education in Myanmar. Location data was verified in October 2019 by the Ministry of Education (MoE) and compiled by MIMU.

Some school locations have yet to be confirmed and some may not be included in this dataset.

Original dataset title: Formal Sector School Location Upper Myanmar (2019)

Tags: facilities-infrastructure, geodata
Organization: Myanmar Information Management Unit (MIMU)
Education Facilities of Mozambique

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)