AndreaBozzo/ceres-open-data-index huggingface dataset:
Somalia Regions hit by 2019 Tropical Cyclone Pawan

<p>Tropical Cyclone Pawan was named after a tropical storm initially named 06A formed in the northern Indian Ocean. On December 7, 2019 Cyclonic Storm Pawan made landfall in Somalia just south of Eyl district with winds of around 65 mph (40 mph).</p>
<p>This layer shows TC Pawan occurence in some regions of Somalia, including Bari, Mudug, Nugaal and Sanaag.</p>

<p>The influence of TC Pawan was felt in the coastal areas of Bari and Mudug Regions where moderate to heavy rains had fell and strong winds were sustained on&nbsp; 7<sup>th</sup> and 8<sup>th</sup> December. Between 6<sup>th</sup> and 8<sup>th </sup>December 2019, TC Pawan caused flash floods and windstorms in the Puntland State of Somalia. Heavy rains and wind gusts of 80 km/h were reported. Pawan continued westward into Ethiopia and weakened.</p>
<p>Summary of impacts included:</p>
<p>Nugaal, Bari, Mudug</p>
<ol>
<li>Number of people affected:213600 (35600 HH) i.e. pastoralists 15,000 HH, fishing communities 7500 HH, rural-urban settlements 11600 HH including IDPs, farmers 1500 HH.</li>
<li>Number of households destroyed:31500 (5250 households)</li>
</ol>
<p>Puntland, Sanaag</p>
<ol>
<li>Number of people who died: 2</li>
</ol>

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

This dataset contains Who, What, Where and When (4W) data for the district of Iganga 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
Kayin State Village Tract Boundaries MIMU v9.4

Polygons of Village Tract boundaries (Admin4) for the Kayin 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)
Uganda- Karamoja Sub Region District: Operational Presence

This dataset contains Who, What, Where and When (4W) data for the district of Karamoja Sub Region 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
Roads of Central African Republic

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)
OpenStreetMap GIS data on Guinea, Liberia, and Sierra Leone

This dataset contains shapefiles for Guinea, Liberia, and Sierra Leone from the [OpenStreetMap (OSM)](http://www.openstreetmap.org/) project. Each country has its individual file. The dataset counts with contributions of hundreds of users. **This dataset is updated daily.**

The original dataset can be downloaded from the [OSM West Africa Ebola response wiki](http://wiki.openstreetmap.org/wiki/2014_West_Africa_Ebola_Response#ShapeFiles_for_GIS_softwares).

Tags: disease, geodata
Organization: HDX
Sea Ports of Haiti

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 Myanmar

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: crisis-myanmar-earthquake, geodata, populated places-settlements
Organization: Humanitarian OpenStreetMap Team (HOT)
Airports of Afghanistan

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)
Railways of Madagascar

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)
Points of Interest of Afghanistan

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 Niger

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)
Education Facilities of Mali

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)
Points of Interest of Ethiopia

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)
Russia and 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 **Russia and 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
Yangon Region Village Tract Boundaries MIMU v9.4

Polygons of Village Tract boundaries (Admin4) for the Yangon 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)
Ukraine: Surveillance System for Attacks on Health Care (SSA)

In 2015, the World Health Organization established the Attacks on Health Care (AHC) initiative. This initiative is a priority of WHO’s Health Emergencies Programme. The vision of the initiative is that essential lifesaving health services must be provided to emergency-affected populations unhindered by any form of violence or obstruction. The Surveillance System for Attacks on Health Care (SSA) is one of the outputs of this initiative. The purpose of the WHO Surveillance System for Attacks on Health Care (SSA) is to systematically collect and make available data on attacks on health care, and their immediate impact on health care in countries facing emergencies.

##Definition of attack
WHO defines an attack as any act of verbal or physical violence, threat of violence or other psychological violence, or obstruction that interferes with the availability, access and delivery of curative and/or preventive health services.

# Criteria for determining the level of certainty of an attack on health care
## Rumour
- Social media post (Twitter or Facebook) OR
- Hearsay OR
- Form submission from anonymous source
## Possible
- Media report from local or international news source OR
- Communication from an organization not defined in the partner group that an attack has been made against them
## Probable
- One eyewitness accounts of the attack as told to one or more SSA partner OR
- Two secondary accounts (not eyewitnesses) of the attack as told to one or more SSA partner(s)
## Confirmed
- Communication from an SSA partner that an attack has been made against them OR
- One eyewitness account by someone from the SSA partner group OR
- Two eyewitness accounts of the attack as told to one or more SSA partner(s) OR
- Types and sources of information that would be graded as ‘Probable’ PLUS-A photo, video or satellite image of the attack or its aftermath, or an international media or police report that provides clear evidence of the attack

Tags: casualties, damage assessment, facilities-infrastructure, health, health facilities
Organization: World Health Organization
Somalia Regions hit by 1984 Tropical Cyclone 04B

<p>1984 Tropical Cyclone 04B was a weak storm that struck eastern Somalia in Mudug province, and quickly dissipated. The storm had a maximunm windspeed of 18m/s before dessipating.</p>

<p>The cyclone was detected on 23/11/1984. Mudug landfall was on 7/12/1984. There were no reports of damages or injuries from this storm.</p>

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

This dataset contains Who, What, Where and When (4W) data for the district of Jinja 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
Somalia Districts hit by 1994 Tropical Cyclone 05A

<p>A disturbance which became Tropical Cyclone 05A was first noted on the 7<sup>th </sup>November,1994 by Significant Tropical Weather Advisory (ABIO) at 9N 54E. It was embedded within a widespread area of convection associated with broad troughing.</p>
<p>This layer shows TC05A hitting two Somalia Districts, Bossaso and Eyl, on 20<sup>th</sup>November, 1994. The storm produced a maximum wind speed of 104Km/hr(65mph).</p>

<p>The storm's high winds and rainfall&nbsp; were catastrophic to the districts. It killed 30 people and injured hundreds of others. Several boats and homes were washed away.<sup> </sup></p>

Tags: geodata, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Somalia Districts hit by 1984 Tropical Cyclone 1A

<p>Tropical Cyclone 1A became the first documented tropical cyclone to move through the Gulf of Aden. The tropical storm struck about 65 km (40 mi) west of Berbera District, Somalia and quickly dissipated. TC1A had a windspeed of 23m/s before dissipating.</p>
<p>TC1A is the only tropical cyclone to develop in the North Indian Ocean during the Spring transition season. After developing in the western Arabian Sea, the cyclone turned to the west-southwest and transited through the Gulf of Aden rather than moving to the north or northwest along the climatologically favored track and making landfall along the east coast of the Arabian Peninsula. The disturbance which eventually developed into TC1A was first detected on 23<sup>rd</sup> May,1984 as an area of strong convection centered approximately 180 nm (333 km) southeast of Socotra.</p>
<p>This layer shows Districts hit by 1984 Tropical Cyclone 1A.</p>

<p>This was a weak storm and no damages were reported.</p>

Tags: geodata, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Sagaing Region Village Tract Boundaries MIMU v9.4

Polygons of Village Tract boundaries (Admin4) for the Sagaing 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)
Myanmar Ward Boundaries MIMU v9.4

Ward shape file (polygons) for Myanmar which includes 236 towns.
Source: Digitization based General Administration Department (GAD) Township profile maps 2018, except for Sagaing, Kengtung, Taungoo and Hpa-An cities based on field sources.

P-codes missing in Kyaikto (Mon): 1 ward

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

Polygons of Village Tract boundaries (Admin4) for the Magway 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)
Myanmar Self Administered Regions Boundaries MIMU v9.4

Myanmar self administered regions boundaries (polygons), 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. 

Tags: administrative boundaries-divisions, geodata
Organization: Myanmar Information Management Unit (MIMU)
Russia and Asia - 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 **Russia and Asia**, 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
Burundi- Muyinga, Cankuzo, Makamba, Ruyigi, Rutana, Rumonge: Operational Presence

This dataset contains Who, What, and Where(3W) data for the Muyinga, Cankuzo, Makamba, Ruyigi, Rutana and Rumonge provinces in Burundi. The operational presence of the various organisations (who) by sector (what), and location (where) at the province level and at commune level for communes Giteranyi, Muyinga, Gisigara, Rumonge, Gisuru, Kiniyia, Kayogoro, Nyanza-Lac and Giharo.

Tags: hxl, operational partners, operational presence, who is doing what and where-3w-4w-5w
Organization: Fields Data
Myanmar State and Region Boundaries MIMU v9.4

Polygons of Myanmar State and Region boundaries (Admin1), 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)