AndreaBozzo/ceres-open-data-index huggingface dataset:
Financial Services of Congo, The Democratic Republic of the

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)
Financial Services of Central African Republic

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)
Health Facilities of Myanmar

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: crisis-myanmar-earthquake, geodata, health, health facilities
Organization: Humanitarian OpenStreetMap Team (HOT)
Roads of Kenya

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: geodata, roads, transportation
Organization: Humanitarian OpenStreetMap Team (HOT)
HDX HAPI Data for Afghanistan

This dataset contains data obtained from the
[HDX Humanitarian API](https://hapi.humdata.org/) (HDX HAPI),
which provides standardized humanitarian indicators designed
for seamless interoperability from multiple sources.
The data facilitates automated workflows and visualizations
to support humanitarian decision making.
For more information, please see the HDX HAPI
[landing page](https://data.humdata.org/hapi)
and
[documentation](https://hdx-hapi.readthedocs.io/en/latest/).


Tags: baseline population, climate-weather, conflict-violence, displacement, economics, education, food security, funding, hazards and risk, health, humanitarian needs overview-hno, indicators, internally displaced persons-idp, markets, migration, operational presence, people in need-pin, poverty, refugees, returnees, who is doing what and where-3w-4w-5w
Organization: HDX Humanitarian API Data
HDX HAPI - Metadata: Data Availability

This dataset contains data obtained from the
[HDX Humanitarian API](https://hapi.humdata.org/) (HDX HAPI),
which provides standardized humanitarian indicators designed
for seamless interoperability from multiple sources.
The data facilitates automated workflows and visualizations
to support humanitarian decision making.
For more information, please see the HDX HAPI
[landing page](https://data.humdata.org/hapi)
and
[documentation](https://hdx-hapi.readthedocs.io/en/latest/).


Tags: indicators
Organization: HDX Humanitarian API Data
HDX HAPI - Coordination & Context: National Risk

This dataset contains data obtained from the
[HDX Humanitarian API](https://hapi.humdata.org/) (HDX HAPI),
which provides standardized humanitarian indicators designed
for seamless interoperability from multiple sources.
The data facilitates automated workflows and visualizations
to support humanitarian decision making.
For more information, please see the HDX HAPI
[landing page](https://data.humdata.org/hapi)
and
[documentation](https://hdx-hapi.readthedocs.io/en/latest/).


Tags: hazards and risk
Organization: HDX Humanitarian API Data
Global - 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 **Global**, 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
Uganda- Budaka District: Operational Presence

This dataset contains Who, What, Where and When (4W) data for the district of Budaka in Uganda. 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
Southeast Asia - 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 **Southeast Asia**, 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
Poland: Response Plan projects

Projects proposed, in progress, or completed as part of the annual Poland Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

**Important:** some projects in Poland might be missing, and others might not apply specifically to Poland. 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)
Amounts paid by refugees and migrants to facilitators to reach Europe

This dataset contains data on the amounts paid by refugees and migrants to facilitate their movement to Europe. The dataset has over 2400 records from 2000 to present, for refugees and migrants from locations mainly in African, the Middle East and Europe.

The estimates on the amount paid by refugees and migrants is based on the number of "detections" reported by European Member States to FRONTEX (before 2008: data from Clandestino which is compatible with said routes) and the median of various sources mentioning the prices of a crossing on a FRONTEX-defined route. 

A 2011 report on Turkish refugees points out that one in 7 refugee or migrant do not pay for the journey (other accounts, like the Red Cross data set, show a higer rate of paying passengers - 97%). Therefore, a 15% discount was applied to the final results for all routes.

Prices are in 2014 euros (prices before 2014 have been corrected for inflation).

Tags: demographics, refugees
Organization: The Migrants' Files (inactive)
Zimbabwe: Response Plan projects

Projects proposed, in progress, or completed as part of the annual Zimbabwe Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

**Important:** some projects in Zimbabwe might be missing, and others might not apply specifically to Zimbabwe. 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)
Bago Region Village Tract Boundaries MIMU v9.4

Polygons of Village Tract boundaries (Admin4) for the Bago Region, 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)
Health Facilities of Kenya

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)
Financial Services of Myanmar

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)
Somalia Districts hit by 2013 Tropical Cyclone 3A

<p>This layer shows Somalia Disricts struck by 2013 TC3A. They include, Bossaso, Bandarbeyla, Caluula, Iskushuban, Qandala, Qardho, Garoowe and Eyl District. On 8 November 2013, TC3A formed off the north-east coast of Somalia across the Indian Ocean, moving directly towards the coast of the country during the following days. On November 11, 2013 TC3A struck near the border of the Nugal and Bari regions and caused severe flash flooding. The storm produced a maximum wind speed of 74kph(46mph) and (100-200)mm of rainfall.</p>

<p>2013 TC3A was the deadliest tropical cyclone on record in Somalia, killing more than 162 people. The depression also destroyed over 1,000 houses, displaced tens of thousands of nomads, and killed millions of livestock.</p>
<p>It was estimated that overall, 142,380 persons were affected by the disasters, with 8,523 households being worst hit and 1,435 households having lost all their livestock. It was reported that there were approximately 80 deaths mostly of children and the elderly who were most vulnerable to hypothermia and exposure. Makeshift structures for pastoralists were conspicuously absent or just frames, likely destroyed or damaged by high winds and rains. Numerous water sources were flooded, no longer serviceable and or contaminated in some areas. There were unconfirmed disease outbreaks and contamination of water sources from decaying animal remains. Thousands of livestock were reported dead as a consequence of icy rain, which was noted in the aerial assessment. FAO estimated 800,000 livestock were in the affected area. Anecdotal evidence suggested a less than 10 per cent survival rate for livestock in the hardest hit areas.</p>

Tags: flooding, geodata, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Sea Ports of Congo, The Democratic Republic of the

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: crisis-ebola-bundibugyo-virus-disease, facilities-infrastructure, geodata, ports
Organization: Humanitarian OpenStreetMap Team (HOT)
Points of Interest of Mozambique

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)
South Asia - 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 **South Asia**, 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 Niger

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)
Education Facilities of Niger

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)
Central America & the Caribbean - 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 **Central America & the Caribbean**, 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
Cultural Places of Congo, The Democratic Republic of the

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)
Health Facilities of Colombia

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)
Points of Interest of Haiti

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)
Buildings of Haiti

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)
Sea Ports of Madagascar

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 Cameroon

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)