AndreaBozzo/ceres-open-data-index huggingface dataset:
Roads of Niger

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)
Airports of Niger

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 Afghanistan

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)
Myanmar District Boundaries MIMU v9.4

Polygons of Myanmar District boundaries (Admin2), 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.

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)
Points of Interest of Lebanon

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: crisis-greater-middle-east, facilities-infrastructure, geodata, points of interest-poi
Organization: Humanitarian OpenStreetMap Team (HOT)
Alaska - 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 **Alaska**, 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 Lebanon

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: crisis-greater-middle-east, geodata, hydrology, rivers
Organization: Humanitarian OpenStreetMap Team (HOT)
République démocratique du Congo : Cas et Décès d'Ebola

Ce jeu de données présente le nombre de cas et de décès liés à Ebola en République
démocratique du Congo, désagrégés au niveau administratif 3. Les données incluent
les cas suspects, probables et confirmés, ainsi que les décès suspects, probables et
confirmés, rapportés dans les zones affectées.

Le jeu de données est fourni sous une ressource CSV contenant la base de données
consolidée au format long.


Tags: crisis-ebola-bundibugyo-virus-disease, disease, epidemics-outbreaks, health
Organization: OCHA Democratic Republic of the Congo (DRC)
Afghanistan - Community Based Protection Monitoring - 2025 H2

Community-Based Protection Monitoring (CBPM) is UNHCR’s primary tool for identifying and tracking protection needs and risks among forcibly displaced, returnee, and host populations in Afghanistan. It collects data on barriers to accessing assistance and services, coping strategies of vulnerable groups, rights violations, and key drivers of displacement and durable solutions for internally displaced persons (IDPs) and returnees.
CBPM generates both qualitative and quantitative evidence to inform the timely design and implementation of programs, supporting decisions and actions aimed at improving the protection environment over time.
The dataset was collected by UNHCR during the second half of 2025 and covers refugees, returnees (including undocumented returnees), IDPs, and host communities. Key thematic areas include access to assistance, rights violations, safety, shelter, and basic needs.

Tags: cash voucher assistance-cva, education, food security, health, livelihoods, needs assessment, nutrition, protection, survey, water sanitation and hygiene-wash
Organization: UNHCR - The UN Refugee Agency
Cultural Places of Burkina Faso

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)
UNHCR Presence

The GDS presence layer is a geographic representation of the UNHCR operational presence in the countries where UNHCR is operating. It shows the diverse types of presence including temporary presence such as Field Units. Each office is either Active or Inactive depending on the operational status reported by the field. The status of the GIS layer represents the current operational presence in the world.

Tags: operational presence
Organization: UNHCR - The UN Refugee Agency
Historical Hurricane Tracks

This feature layer, utilizing data from the National Oceanic and Atmospheric Administration (NOAA), displays global hurricane tracks from 1842-2024. According to NOAA, "a tropical cyclone is a rotating low-pressure weather system that has organized thunderstorms but no fronts (a boundary separating two air masses of different densities). Tropical cyclones with maximum sustained surface winds of less than 39 miles per hour (mph) are called tropical depressions. Those with maximum sustained winds of 39 mph or higher are called tropical storms. When a storm's maximum sustained winds reach 74 mph, it is called a hurricane."

Data currency: December 31, 2024
Data source: International Best Track Archive for Climate Stewardship (IBTrACS)
Data modification: Field added - Hurricane Date
For more information: International Best Track Archive for Climate Stewardship (IBTrACS)
Support documentation: IBTrACS v04 column documentation
For feedback, please contact: ArcGIScomNationalMaps@esri.com

This dataset presents global hurricane tracks from 1842 to 2024, derived from the National Oceanic and Atmospheric Administration (NOAA) archives. It encompasses data from the HURDAT2 database maintained by the NOAA National Hurricane Center and the NOAA National Centers for Environmental Information. The dataset includes information on storm positions, intensities, and other relevant attributes.

The feature layer is designed to support visualization and analysis of historical tropical cyclone activity. It serves as a valuable resource for researchers, emergency planners, and the general public interested in understanding hurricane patterns and impacts over time.

For more detailed information and to access the dataset, please visit the Historical Hurricane Tracks page.



Original dataset title: Historical Hurricane Tracks (1842 - 2024)

Tags: environment, geodata
Organization: Myanmar Information Management Unit (MIMU)
Uzbekistan: Response Plan projects

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

Projects proposed, in progress, or completed as part of the annual Uganda Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

**Important:** some projects in Uganda might be missing, and others might not apply specifically to Uganda. 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)
Uganda- Soroti District: Operational Presence

This dataset contains Who, What, Where and When (4W) data for the district of Soroti 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
Uganda- Napak District: Operational Presence

This dataset contains Who, What, Where and When (4W) data for the district of Napak 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
USGS Magnitude 2.5+ Earthquakes

This data lists events with magnitude 2.5+ which have been located by the USGS and contributing agencies within the last day and last week.  To see these events in an interactive map, see the [USGS map](https://earthquake.usgs.gov/earthquakes/map/?extent=32.00808,23.99414&extent=44.2924,47.59277).  For more information, see the [USGS site](https://www.usgs.gov/programs/earthquake-hazards/earthquakes).  

Tags: crisis-myanmar-earthquake, earthquake-tsunami, natural disasters
Organization: HDX
Lakes and Dams in Myanmar

Lakes and Dams in Myanmar.
This dataset was extracted from Landsat satellite images, Sentinel-1 ESA satellite images, and Google satellite images. 

The United Nations and the MIMU specifically do not make any warranties or representations as to the accuracy or completeness of this dataset nor does it imply official endorsement or acceptance by the United Nations.

Tags: geodata, hydrology
Organization: Myanmar Information Management Unit (MIMU)
Foreign Exchange Rates

Reference historic FX rates quoted by the [European Central Bank](https://www.ecb.europa.eu) (ECB) converted to USD base currency.
There are two resources - one with USD as the quote currency (more standard x/USD) and another with USD as the base currency (USD/x).

Note that where the rate is 0 or NaN, it means that the currency existed in the past but no longer exists.

Tags: economics, hxl
Organization: HDX
Venezuela (Bolivarian Republic of): Response Plan projects

Projects proposed, in progress, or completed as part of the annual Venezuela (Bolivarian Republic of) Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

**Important:** some projects in Venezuela (Bolivarian Republic of) might be missing, and others might not apply specifically to Venezuela (Bolivarian Republic of). 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)
Government Actions on COVID-19 in Developing Countries

**The Database of Government Actions on COVID-19 in Developing Countries** collates and tracks national policies and actions in response to the pandemic, with a focus on developing countries.   
  
**The database provides information for 20 Global South countries** – plus 6 Global North countries for reference – that Dalberg staff are either based in or know well. The database content is drawn from publicly available information combined, crucially, with on-the-ground knowledge of Dalberg staff.   
  
**The database contains a comprehensive set of 100 non-pharmaceutical interventions** – organized in a framework intended to make it easy to observe common variations between countries in the scope and extent of major interventions. Interventions we are tracking include:   
•	Health-related: strengthening of healthcare systems, detection and isolation of actual / possible cases, quarantines  
•	Policy-related: government coordination and legal authorization, public communications and education, movement restrictions  
•	Distancing and hygiene: social distancing measures, movement restrictions, decontamination of physical spaces  
•	Economic measures: economic and social measures, logistics / supply chains and security.  
  
**We hope the database will be a useful resource for several groups of users:** (i) governments and policymakers looking for a quick guide to actions taken by different countries—including a range of low- and middle-income countries, (ii) policy analysts and researchers studying the data to identify patterns of actions taken and compare the effectiveness of different interventions in curbing the pandemic, and (iii) media and others seeking to quickly access facts about the actions taken by governments in the countries covered in the database.   
  
**Comments** on the data can be submitted to covid.database.comments@dalberg.com  
**Questions** can be submitted to covid.database.questions@dalberg.com   
  
**www.dalberg.com**

Tags: covid-19, development, economics, governance and civil society, health, hxl, indicators, socioeconomics, who is doing what and where-3w-4w-5w
Organization: Dalberg (inactive)
Ayeyarwady Region Village Tract Boundaries MIMU v9.4

Polygons of Village Tract boundaries (Admin4) for the Ayeyarwady 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)
Somalia District struck by 2020 Tropical Cyclone Gati

<p>2020 Tropical Cyclone Gati struck a couple of Somalia Districts including Ceerigaabo, Ceel Afweyn, Laasqoray, Bossaso, Bandarbeyla, Caluula, Qandala and Qardho District. On November 22-23, 2020 TC Gati made landfall in northern Somalia, becoming the first hurricane-equivalent storm to hit the Horn of Africa. TC Gati originated from the Bay of Bengal. It made landfall at Ras Hafun (Northeast of Somalia) with maximum sustained winds of 170Km/hr. By 25 November 2020, TC GATI had dissipated but it left trail of destruction across Bari and Sanaag regions.</p>
<p>Somalia villages struck by the storm included Bargaal, Gumbax, Caluula, Qandala, Lasqoray, Hadaaftimo, Badhan, Qardho, Waaciye, Ceel Dofaar, Iskushuban, Bilke, Bandarbyla, Baar-Madobe, Xaafuun, Hordio, Handa, Itaageer, Ahable, Dhaankadus, Dul Xaafuun, Dardaare, Garan, Baarmadowe, Hurdiya, Foocaar, Afdhicin, Haluula, Kurduush, , Taageer and Xandha.</p>

<p>Tropical Cyclone Gati was the strongest storm ever recorded in the northern Indian Ocean and wreaked unimaginable damage on people and property. GATI left a trail of destruction across Bari and Sanaag regions of Somalia, disproportionately affecting coastal communities. Authorities estimated 180,000 people (30,000 households) had been affected in Puntland Regional State, with 42,000 people (7,000 households) displaced and at least eight people killed and unknown number injured, with considerable damage reported to infrastructure, livelihoods, and social services (telecommunication, electricity, roads, schools). Resultant flooding burst sewerage system and increased the risk of diseases among the affected population.</p>
<p>The worst hit areas were Baargaal, Foocaar, Garduush, Hurdiya, and Xaafuun, Foocaar, Garduush and Garan Hoose were worst hit villages in the Indian Ocean, Bosaso and Qandala in the Gulf of Aden, and Baarmadowe.</p>

Tags: geodata, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Uganda- Lira District: Operational Presence

This dataset contains Who, What, Where and When (4W) data for the district of Lira 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
Mali: Response Plan projects

Projects proposed, in progress, or completed as part of the annual Mali Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

**Important:** some projects in Mali might be missing, and others might not apply specifically to Mali. 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)
Uganda- Bulambuli District: Operational Presence

This dataset contains Who, What, Where and When (4W) data for the district of Bulambuli 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
Desastres Naturales - Incidentes años  2008 - 2017

Incidentes atendidos por la CONRED del año 2008 al año 2017 , en todo el territorio de Guatemala, con estadísticas de personas y viviendas, tipo de evento segun la clasificación de la CONRED, Departamento, Municipio y centros poblados.

Tags: natural disasters
Organization: CONRED Guatemala (inactive)
Mon State Village Tract Boundaries MIMU v9.4

Polygons of Village Tract boundaries (Admin4) for the Mon 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)
Mexico - Regiones potenciales de deslizamiento de laderas

Deslizamiento de laderas sin probabilidad de ocurrencia regionalizada en Baja California, Baja California Sur, Eje Neovolcánico, Golfo California, Chihuahua, Durango, Golfo Norte, Golfo de México, Pacífico Norte y Pacífico Sur.


Tags: cyclones-hurricanes-typhoons, geodata, natural disasters
Organization: National Digital Strategy Unit at the Office of the President of Mexico (inactive)
Europe - 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 **Europe**, 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