AndreaBozzo/ceres-open-data-index huggingface dataset:
Cameroon: Response Plan projects

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

Polygons of Village Tract boundaries (Admin4) for the Tanintharyi 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 Regions hit by 1994 Tropical Cyclone 05A

<p>In November 20, 1994 TC05A moved ashore eastern Somalia near Eyl district, producing wind speeds of 104 km/h (65 mph) in Bosaso district. This layer shows the occurence of the storm in two regions of Somalia; Bari and Nugaal Province. &nbsp;</p>

<p>The disturbance which became TC05A was first noted on 7 November,1994 by Significant Tropical Weather Advisory (ABIO) at 9N 54E. It was embedded within a widespread area of convection associated with broad troughing. The first warning was issued at 0600Z on 8 November as the cyclone landed in Somalia.</p>
<p>The storm's high winds and rainfall 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 2018 Tropical Cyclone Saga

<p>2018 Tropical Cyclone Saga struck several districts in Somalia. These include Bai, Lughaye, Zeylac, Laasqoray, Bossaso, Caluula, Iskushuban, Qardho and Garoowe District. TC Sagar originated from Yemen where it had caused flooding and wind damage. On 19 May, 2018 TC Sagar made landfall in north-western Somaliland. It moved with wind gusts of up to 120 km/hour that delivered a year&rsquo;s worth of rain to some areas that is between 150 and 200mm in some parts of the north.&nbsp;</p>
<p>Villages struck by the storm include Lughaya, Zeila, Baki, Bareeda, Caluula, Murcanyo, Gumbax and Xaabo.</p>

<p>On 19 May, TC Sagar made landfall in western Somaliland, impacting close to 170,000 people, mainly in Awdal region. The storm destroyed crops, shelters and social service infrastructure, including water, health, nutrition, and education facilities. The Somaliland authorities estimated 50 people died and seven were still missing. In Somaliland, at least 16 people died in Galbeed and Awdal, where the cyclone made landfall. Three quarters of the livestock were killed along with major damage of water systems and health facilities and 39 schools were damaged or destroyed with a major impact on children.&nbsp; &nbsp;</p>
<p>Summary of the storm's impacts according to districts:</p>
<p>Galbeed, Laasqoray, Qardho, Ishkushban, Bossaso, Garowe</p>
<ol>
<li>People displaced: 1,780 families</li>
<li>People affected: 669,000</li>
<li>Houses destroyed: 80 families</li>
<li>Death: 52</li>
<li>People Injured: 12</li>
<li>Missing persons: 27(Mainland) and 4(Fishermen)</li>
<li>Disrupted services: 5 in Bossaso and Garoowe&nbsp;</li>
</ol>
<p>Bareeda, Caluula, Murcanyo, Gumbax, and some parts of Xaabo</p>
<ol>
<li>People Missing: In Puntland 35 houses, 15 small boats. In Tawakal, 220 improvised houses for IDPS were washed away. 30 boats in Caluula and 20 small boats in Bosaso seaport. In Berber 125 families. In Ceel Sheekh, 15 shelters destroyed.</li>
<li>Livestock lost: In Puntland 56 camels, nearly 1,260 goats and sheep and 19 donkeys died.</li>
</ol>

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

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

Polygons of National boundaries for Myanmar (Admin 0), based on the latest MIMU Pcode version 9.4 .
Place Names from General Administration Department (GAD).  Transliteration by MIMU. 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)
Myanmar River Network 250K scale

Myanmar national river network(lines).
Data from the Digital Chart of the World. Digitization revised by MIMU at 1:250,000 scale.

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 government concerned.

Tags: geodata, hydrology
Organization: Myanmar Information Management Unit (MIMU)
Waterways of Madagascar

Water features across the region: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental basemap context.

Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge.

- Source: [OpenStreetMap](https://www.openstreetmap.org), a free, collaborative world map
- Tags: [waterway](https://wiki.openstreetmap.org/wiki/Key:waterway), [water](https://wiki.openstreetmap.org/wiki/Key:water), [natural](https://wiki.openstreetmap.org/wiki/Key:natural)
- Part of the [exports grid on HDX](https://data.humdata.org/organization/hot/) by [HOT](https://www.hotosm.org/)


Tags: geodata, hydrology, rivers
Organization: Humanitarian OpenStreetMap Team (HOT)
Roads of Colombia

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)
Points of Interest of Colombia

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)
Railways of Afghanistan

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 Central African Republic

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)
Health Facilities of Lebanon

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-greater-middle-east, geodata, health, health facilities
Organization: Humanitarian OpenStreetMap Team (HOT)
Railways of Burkina Faso

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)
Health Facilities of Burkina Faso

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)
Education Facilities of Burkina Faso

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)
Railways of Haiti

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)
Financial Services of Niger

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)
COD Services API

**The Information Technology Outreach Services (ITOS) services are no longer available. All datasets on HDX have been archived.**

The COD Services API is a companion to the HDX API, which focuses on COD, theme organization, metadata, gazetteer output and lookup functionality. For instance, an external application may access the API to search for a place for humanitarian context work and show administrative units or population statistics based on UN OCHA FIS and UN FPA sources. 

COD Services API - Usage and Documentation

https://apps.itos.uga.edu/CODV2API

Tags: administrative boundaries-divisions, gazetteer, gender and age disaggregated data-gadd, geodata, population
Organization: ITOS (inactive)
Global Violent Deaths (GVD) database 2004-2021, 2023 update, version 1.0

The Global Violent Deaths (GVD) database integrates indicators on the major causes of lethal interpersonal and communal violence—intentional and unintentional homicides, killings in legal interventions, and direct conflict deaths—and combines them in a single violent deaths indicator. These indicators are also reported in a disaggregated format by the sex of the victim and perpetration mechanism, namely firearm killings. The GVD database tracks this information across 222 countries and territories worldwide yearly from 2004 and reports both crude counts and rates per 100,000 population. The input data is retrieved from reliable sources, such as governments, national and international organizations, trusted non-governmental organizations, and verified media outlets. Missing data points are estimated using the methods described in this document.

The GVD database is updated annually by the Small Arms Survey, an associated programme of the Geneva Graduate Institute, which strengthens the capacity of governments and practitioners to reduce illicit arms flows and armed violence. This is done through three mutually reinforcing activities: the generation of policy-relevant knowledge, the development of authoritative resources and tools, and the provision of training and other services. The GVD database benefits from financial support from governments and organizations, and notably its core donors, who are publicly disclosed online. The Small Arms Survey follows rigorous procedures to ensure that the input data, the applied methods, and the results are of reasonable quality. If the user encounters apparent errors, they should contact us via email at media@smallarmssurvey.org.

Regions, sub-regions, countries, and territories are defined based on the classification system used by the UN Statistical Division (2013 revision), except for Kosovo, England and Wales, Northern Ireland, and Scotland. The names and designations reported in the database do not imply any sort of endorsement by the Small Arms Survey.

Tags: conflict-violence, gender-based violence-gbv
Organization: Small Arms Survey
Micronesia (Federated States of) - CERF Allocations

This dataset lists project funding allocations from OCHA's Central Emergency Response Fund (CERF) for Micronesia (Federated States of). CERF allocations are made to ensure a rapid response to sudden-onset emergencies or to rapidly deteriorating conditions in an existing emergency and to support humanitarian response activities within an underfunded emergency.

Tags: funding
Organization: Central Emergency Response Fund
Formal Sector School Location Lower Myanmar

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

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

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

Tags: facilities-infrastructure, geodata
Organization: Myanmar Information Management Unit (MIMU)
Yemen: Cholera Outbreak Epidemiology Update Data

This dataset provides numbers of suspected cholera cases, deaths, case fatality rates (%) and attack rates (per 1,000) by Governorate in the Yemen cholera outbreak since 27 April 2017. 

The data are manually extracted from the Yemen cholera outbreak epidemiology updates produced by WHO Yemen. The updates are posted on the [Yemen Situation Reports page](http://www.emro.who.int/yem/yemeninfocus/situation-reports.html) on the WHO Regional Office for the Eastern Mediterranean site.  This dataset contains data from the daily and weekly updates up to the [weekly report published on 7 July 2018.](http://www.emro.who.int/images/stories/yemen/week_26.pdf?ua=1)

Tags: affected population, conflict-violence, disease, fatalities, health, humanitarian needs overview-hno, hxl
Organization: HDX
Tropical Cyclones hitting Somali Districts for the period(1984-2020)

<p>Tropical cyclones hitting Somalia Districts for the period between 1984 to 2020. This layer indicates the frequency of cyclone occurence within specific regions. 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)
Australia and New Zealand - 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 **Australia and New Zealand**, 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
Somalia Districts hit by 2010 Tropical Cyclone Bandu

<p>Tropical Cyclone Bandu was named after Tropical Storm 02A moving into the Gulf of Aden. This layer shows TC Bandu hitting Bossaso District on May 21, 2010. Bandu had maximum sustained winds near 45 knots (52 mph) and was 50 miles north-northwest of Cape Guardafui, Somalia.&nbsp;</p>

<p>Tropical Storm Bandu resulted in flooding, and displaced approximately 12,000 people in Bari,17000 along Shabelle River and 2,000 people in Jamaame town, Lower Juba Region, as well as Afgooye and Kurtunwaarey districts, Lower Shabelle Region.</p>
<p>In response to identified humanitarian needs, the U.N. Children&rsquo;s Fund (UNICEF) and non-governmental organization (NGO) partners provided support for garbage collection and WASH activities. In addition, UNHCR distributed blankets and plastic sheeting to flood-affected residents of Bossaso town, Bari Region.</p>

Tags: geodata, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Myanmar Town Points PCode v9.4

Towns are urban areas divided into wards. This version is based on the latest MIMU Pcode version 9.4 and information provided by field offices and government departments. Compared to the previous version, it includes one new town named Law Pi Ta was formed in Loikaw Township in Kayah State. The new town name is
drawn from the previous village tract name. 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: geodata, populated places-settlements
Organization: Myanmar Information Management Unit (MIMU)