AndreaBozzo/ceres-open-data-index huggingface dataset:
Myanmar Railway Network

Myanmar national rail network (lines).
Updated railway data in March 2022 based on Google Satellite images and the Ministry of Transport and Communications. This layer shows the transportation network based on available information from Google Earth. Parts of the network may not be functioning for various reasons such as landslides. The status of the railway has not been verified.

Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU. Lines by MIMU using Google Satellite images as a reference. 

Original dataset title: Myanmar Railway Network 2022

Tags: geodata, natural disasters, transportation
Organization: Myanmar Information Management Unit (MIMU)
Ecuador Earthquake - April 2016 - Severity index

A predictive severity index created using population * poverty * MMI

Population and Poverty from:
https://data.hdx.rwlabs.org/dataset/poverty-and-population

MMI from:
http://earthquake.usgs.gov/earthquakes/eventpage/us20005j32#shakemap

Tags: earthquake-tsunami, hxl, severity
Organization: British Red Cross Maps Team
Airports of Mozambique

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)
Airports of Colombia

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)
Hard to Reach Village Tract

Hard To Reach Village Tracts in Myanmar. The General Administration Department defines the Hard to Reach areas in three categories (Moderate, Hard, Very Hard)  according to road accessibility across seasons.

Order No. 44/219, 8 May 2019 by the Ministry of Planning and Finance

Original dataset title: Hard to Reach Village Tract May 2019

Tags: geodata, transportation
Organization: Myanmar Information Management Unit (MIMU)
Education Facilities of Congo, The Democratic Republic of the

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: crisis-ebola-bundibugyo-virus-disease, education facilities-schools, geodata
Organization: Humanitarian OpenStreetMap Team (HOT)
Cultural Places of Ethiopia

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)
Buildings of Myanmar

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

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)
Railways of Mozambique

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)
Buildings of Mozambique

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)
Myanmar Administrative Boundary Line MIMU v9.4

Lines of Administrative boundaries for Myanmar (Admin 1, 2, 3, International and Sea), based on the latest MIMU Pcode version 9.4 .
Coordinates by MIMU. Boundaries by MIMU.

This dataset was mainly digitized at 1:250,000 scale.

Tags: administrative boundaries-divisions, geodata
Organization: Myanmar Information Management Unit (MIMU)
Financial Services of Mali

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)
Buildings of Mali

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 Haiti

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)
West and Central Africa - Burnt Area Tables

Monthly and annual burnt area statistics (in sqkm) are calculated from 2018 onwards at Admin 0, 1, 2 and 3 levels.

The source data is the Burnt Area (BA) product from COPERNICUS Land Monitoring Service v4 (300m resolution), reprocessed to extract bushfire occurrence statistics.
https://land.copernicus.eu/en/products/vegetation/burnt-area-v4-monthly-300m

The data used comes from the data generated by the COPERNICUS terrestrial service, the European Commission's Earth observation programme. The research that led to the current version of the product has received funding from various research and technical development programmes of the European Commission.

Administrative boundaries are provided by OCHA https://data.humdata.org/dataset/cod-ab-global

GeoTIFF raster files and shapefile vector files are available for download at https://geosahel.info

For more information, please visit: https://sigsahel.info

********************************************************************************************************

Afrique de l’Ouest et du Centre – Surfaces brûlées depuis 2018

Des statistiques mensuelles et annuelles de surfaces brûlées (en km²) sont calculées à partir de 2018 aux niveaux administratif 0, 1, 2 et 3.

La source des données est le produit « Burnt Area (BA) » du service de surveillance des terres COPERNICUS v4 (résolution de 300 m), retraité pour extraire des statistiques sur les feux de brousse.
https://land.copernicus.eu/en/products/vegetation/burnt-area-v4-monthly-300m

Les données utilisées sont issues des données générées par le service terrestre COPERNICUS, le programme d'observation de la Terre de la Commission européenne. La recherche qui a conduit à la version actuelle du produit a reçu un financement de divers programmes de recherche et de développement technique de la Commission européenne.

Les limites administratives sont fournies par OCHA : https://data.humdata.org/dataset/cod-ab-global

Les fichiers raster GeoTIFF et les fichiers vectoriels shapefile sont disponibles au téléchargement sur https://geosahel.info

Pour plus d’informations, veuillez consulter : https://sigsahel.info

Tags: affected area, agriculture-livestock, environment, hazards and risk, sahel, west africa
Organization: Action Against Hunger ACF - Regional Office for West and Central Africa ROWCA
Central America & the Caribbean - 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 **Central America & the Caribbean**, 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
Protected and Conserved Areas (WDPCA) in Montserrat

The World Database on Protected and Conserved Areas (WDPCA) combines the formerly separate World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM). The WDPCA is the most comprehensive global database of marine and terrestrial protected areas and other effective area-based conservation measures, updated on a monthly basis, and is one of the key global biodiversity datasets being widely used by scientists, businesses, governments, international secretariats, and others to inform planning, policy decisions, and management.

The WDPCA is part of the Protected Planet Initiative, a joint product of the UN Environment Programme and the International Union for Conservation of Nature (IUCN). The compilation and management of the WDPCA is carried out by the UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), in collaboration with governments and other stakeholders. Data and information on the world's protected and conserved areas compiled in the WDPCA is used for reporting on progress towards reaching Target 3 of the Kunming-Montreal Global Biodiversity Framework, which calls for 30% of the world’s land and waters to be effectively conserved by 2030.

Additionally, the WDPCA is used for reporting to the UN to track progress towards the 2030 Sustainable Development Goals, tracking of core indicators of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), and providing information for other international assessments and reports including the Global Biodiversity Outlook. UNEP-WCMC and IUCN periodically release the Protected Planet Report on the status of the world's protected and conserved areas.

Many platforms are incorporating the WDPCA to provide integrated information to diverse users, including businesses and governments, in a range of sectors. For example, the WDPCA is included in the Integrated Biodiversity Assessment Tool (IBAT), an innovative decision support tool that gives commercial users easy access to up-to-date information that allows them to identify biodiversity risks and opportunities within a project boundary.

The reach of the WDPCA is further enhanced by the UN Biodiversity Lab as well as services developed by other parties, such as the Global Forest Watch and the Digital Observatory for Protected Areas, which provide decision makers with access to monitoring and alert systems that allow whole landscapes to be managed better. Together, these applications of the WDPCA demonstrate the growing value and significance of the Protected Planet initiative.

Tags: environment, geodata
Organization: The UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC)
Myanmar Road Network

Road network with main, secondary and tertiary roads. This network-based connectivity approach mainly uses population centres, such as, Union capital, State/Region capital, Main town, other town and village location, as the bases to road network.

Main Road links ST/R Capital to Main Towns and to Neighbouring countries.
Secondary Road links a Major Road to another Main Road.
Tertiary Road links main town to other-town and other-town to other-town.


Original dataset title: Myanmar Road Network 2022

Tags: geodata, roads, transportation
Organization: Myanmar Information Management Unit (MIMU)
Somalia Districts hit by 2015 Tropical Cyclone Megh

<p>2015 TC Megh struck Berbera and Bossaso Districts in Somalia. The storm orignated from the Arabian Sea causing even more rains in parts of Bari region in Puntland and Somaliland. On November 9, 2015 just days after TC Chapala, TC Megh passed 57 km (36 mi) north of Cape Guardafui, Somalia, where it dropped heavy rainfall 300% of the annual average. Eyl reported 160 mm (6.3 in) of rainfall over 24 hours.&nbsp;</p>
<p>The villages hitted in the two districts included, Af Kalahay, Alula, Bareda, BiyoCade, Boolimoog, Dhurbo, Fagoora, Geesalay, Murcanyo, Sayn Weyn, Sayn Yar, Toxin, Xaabo, Baargaal, Bander, Bareeda, Butiyaal, Caluula, Murcanyo, Qandalla, Xaabo and some parts of Xaafun, Biyacad, Bulahar, Ceelsheik and Shacable&nbsp;</p>

<p>TC Megh damaged roads, crops, and schools. Re-estimated population figures after Tropical Megh, showed 4.9 million people were in need of assistance, 308,700 children under-5 were acutely malnourished, of which 55,800 were severely malnourished and 1.1 million remain in a protracted internal displacement situation.</p>
<p>Summary of impacts include:</p>
<ol>
<li>People affected: 132,000</li>
<li>People Displace: 3,000</li>
<li>Worst hit people: 800</li>
<li>Destroyed houses: 1,129</li>
</ol>

Tags: geodata, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Tropical Cyclones hitting Somali Regions for the period(1984-2020)

<p>Tropical cyclones hitting Somalia Regions for the period between 1984 to 2020. This layer indicates the frequency of cyclone occurence within specific regions of Somalia. The cyclones recorded include:</p>
<ol>
<li>1984 Tropical Cyclone 1A</li>
<li>1984 Tropical Cyclone 4B</li>
<li>1992 Tropical Cyclone 12A</li>
<li>1994 Tropical Cyclone 05A</li>
<li>1997 Tropical Cyclone 03A</li>
<li>2004 Tropical Cyclone Agni</li>
<li>2010 Tropical Cyclone Bandu</li>
<li>2012 Tropical Cyclone Murjan</li>
<li>2013 Tropical Cyclone 3A</li>
<li>2015 Tropical Cyclone Chapala</li>
<li>2015 Tropical Cyclone Megh</li>
<li>2018 Tropical Cyclone Sagar</li>
<li>2019 Tropical Cyclone Pawan</li>
<li>2020 Tropical Cyclone Gati</li>
</ol>



Tags: geodata, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Central African Republic: Response Plan projects

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

This dataset contains Who, What, Where and When (4W) data for the district of Sironko 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 Regions hit by 2013 Somalia Tropical Cyclone 3A

<p>Tropical Cyclone 3A was recorded on November 11, 2013 when a deep depression struck near the border of Nugaal and Bari regions and caused severe flash flooding. It was the deadliest tropical cyclone on record in Somalia.It formed off the north-east coast of Somalia across the Indian Ocean, moving directly towards the coast of the country. This cyclone had windspeeds of 74kph(46mph) and was characterized with rainfall amounts between (100-200)mm.</p>

<p>The cyclone led to loss of human lives and destruction of assets including livestock and fishing boats. It destroyed numerous settlements, service centers, roads, schools, communication and electrical installations. The most affected areas included, Dangorayo, Bandar Beyla, Garowe and Eyl districts.</p>
<p>Impacts can be summarized as follows:&nbsp;</p>
<ol>
<li>Number of People Affected: 142,380</li>
<li>Number of People worst affected: 8,523</li>
<li>Number of people displaced: 5,000</li>
<li>Number of people injured: 1,435</li>
<li>Number of death:100</li>
<li>Number of lost livestock: 2,746</li>
<li>Crop destroyed:12000ha</li>
</ol>

Tags: flooding, geodata, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Bangladesh: Response Plan projects

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