AndreaBozzo/ceres-open-data-index huggingface dataset:
Madagascar - Populated Places

Madagascar place points. Source: National Geospatial-Intelligence Agency, Data Provider: University of Georgia - ITOS, Data Distributor: Geographic Information Support Team (GIST), Publication Date:2007-03-07.

P-codes and administrative boundary names added by UN OCHA ROSA, based on BNGRC (National Disaster Management Office) data.

Tags: geodata, populated places-settlements
Organization: OCHA Regional Office for Southern and Eastern Africa (ROSEA)
Malawi - Other

[MASDAP (Malawi Spatial Data Portal)](http://www.masdap.mw/about/)  (Active in July 2015) 

Website for download and upload of spatial datasets and maps, managed by the National Spatial Data Center (in the Department of Surveys), in collaboration with the National Statistics Office and a number of technical Ministries, and supported by the World Bank.

Portal Functionalities include: 

Upload, Manage and Browse Spatial Data

Explore, Compose and Share maps

Search and Download Documents

Profiles for Users

 Hosts a variety of data categories, for download in shapefile or kml format.  




Tags: geodata
Organization: OCHA Regional Office for Southern and Eastern Africa (ROSEA)
Namibia - Contour Lines

Countour Lines at 100m Intervals. Interpolated (using a kriging interpolator) from a 30 second grid DTM. Grid cell size was set to 500m. The shapefile was produced directly from the grid using elevation intervals of 100m. Positional Accuracy: Interpolated from 1km grid. 
DTM originally obtained from Geo Business Solutions.

Zip file includes elevation and relief, Namibia borders and settlements shapefiles, and detail metadata. 

Tags: geodata, topography
Organization: OCHA Regional Office for Southern and Eastern Africa (ROSEA)
Burundi: Operational Presence

The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working and what they are doing in order to identify gaps and plan for future humanitarian response. This dataset includes a list of humanitarian organizations operating in Burundi at Admin 1.

Tags: hxl, operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Burundi
Burundi - Humanitarian Needs Overview 2022(JIAF 1.1)

This dataset presents key outputs and a step-by-step implementation of the Joint Intersectoral Analysis Framework(JIAF) approach in Burundi as well as the number of people in need ( PIN ) disaggregated by gender, age, population groups and geographical area. JIAF is a methodologically new approach to analysing the multiple needs of populations in crisis, their magnitude and severity.

Tags: baseline population, disability, gender and age disaggregated data-gadd, humanitarian needs overview-hno, hxl, indicators, people in need-pin
Organization: OCHA Burundi
Satellite detected water extents between 11 and 15 February 2022 over South Sudan

**UNOSAT code: FL20220119SSD**  This map illustrates cumulativesatellite-detected water using VIIRS in South Sudan between 11 to 15 Feb. 2022 compared with the period between 04 to 08 Feb. 2022. Within the cloud free analyzed areas of about 630,000 km2, a total of about 30,200 km2 of lands appear to be affected with flood waters. Water extent appears to have increased of about 1,500 km2 since the period between 04 to 08 Feb. 2022. Based on Worldpop population data and the maximal flood water coverage, ~704,000 people are potentially exposed or living close to flooded areas. 

This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Mauritania - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Satellite detected waters in Thua Thien Hue Province of Viet Nam as of 4 November 2020

**UNOSAT code: TC20201028VNM**  This map illustrates satellite-detected surface waters in Thua Thien Hue Province of Viet Nam as observed from a Sentinel-1 image acquired on 4 November 2020 at about 05:43 local time. Within the analyzed area of about 4,700 km2, a total of about 150 km2 of lands appear to be flooded. The water extent appears to have receded of about 120 km2 since 29 October 2020. Based on Worldpop population data and the detected surface waters, about 40,000 people are potentially exposed or living close to flooded areas. 
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Landslide and flash floods impact analysis West of Durban, eThekwini Metropolitan Municipality, KwaZulu-Natal Provincce,

**UNOSAT code: FL20220418ZAF**  This map illustrates satellite-detected landslides/mudflow West of Durban City, eThekwini Metropolitan Municipality, KwaZulu-Natal Province, South Africa as observed from a WorldView-3 imagery acquired on 14 April 2022.
Within the analyzed area, at least 62 structures and 2 bridges appear to be affected by floods and/or landslides.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Potential affected buildings & impact caused by mudslides in Daraga Municipality, Albay Province, Philippines

**UNOSAT code: TC20201111PHL**  This map illustrates satellite-detected mudslide extent in the Historical Cagsawa and surrounding in Daraga Municipality, Albay Province, Bicol Region, Philippines as observed on Pleiades image acquired on 13th of November 2020 at 10:47 Local time. About 80 buildings are identified as damaged and 30 as potentially damaged. Some roads were also identified as potentially damaged.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
GRID3 COD - Roads v1.0

The GRID3 COD - Roads v1.0 spatial dataset consists of road and path locations in Democratic Republic of the Congo.

Suggested Dataset Citation

Center for Integrated Earth System Information (CIESIN), Columbia University. 2026. GRID3 COD - Roads v1.0. New York: Columbia University. URL. Accessed DAY-MONTH-YEAR.

Tags: geodata, roads, transportation
Organization: GRID3
Financial Times - Excess mortality during COVID-19 pandemic

This dataset contains excess mortality data for the period covering the 2020 Covid-19 pandemic. 

The data contains the excess mortality data for all known jurisdictions which publish all-cause mortality data meeting the following criteria:

- daily, weekly or monthly level of granularity
- includes equivalent historical data for at least one full year before 2020, and preferably at least five years (2015-2019)

Most countries publish mortality data with a longer periodicity (typically quarterly or even annually), a longer publication lag time, or both. This sort of data is not suitable for ongoing analysis during an epidemic and is therefore not included here.

"Excess mortality" refers to the difference between deaths from all causes during the pandemic and the historic seasonal average. For many of the jurisdictions shown here, this figure is higher than the official Covid-19 fatalities that are published by national governments each day. While not all of these deaths are necessarily attributable to the disease, it does leave a number of unexplained deaths that suggests that the official figures of deaths attributed may significant undercounts of the pandemic's impact.

Tags: covid-19, fatalities, hxl
Organization: HDX
Satellite detected water extents in upper central region, Thailand  as of 2 October 2021

**UNOSAT code: FL20210928THA**  This map illustrates satellite-detected surface waters in Sukhothai, Phitsanulok, Kamphaeng Phet, and Uttaradit provinces of Thailand as observed from a Sentinel-1 image acquired on 2 October 2021 at 06:17 local time. Within the analyzed area of about 4,500 km2 , about 450 km2 of lands appear to be flooded. The water extent appears to have increased of about 90 km2 since 28 September 2021. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Mueang Sukhothai with ~ 14,000 people, Sawankhalok with ~ 14,000 people, Khiri Mat with ~ 7,400 people, and Si Samrong with ~ 7,000 people.

This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Somalia Flood and Drought Dashboard

This dataset contains the data used by the Humanitarian Country Team in Somalia to monitor the evolution of the drought and flood situation in Somalia. The data covers the following topics:

* Internal displacement by cause (drought related, conflict/insecurity, other cause)
* River levels in the Shabelle and Juba rivers
* Water prices by Region
* Cumulative annual rainfall
* Disease burden (acute watery diarrhea (AWD)/cholera, bloody diarrhea and measles)
* Monthly response monitoring by region for the following indicators: 
    * CCCM: Number of people benefiting from site improvement projects
    * EDUCATION: Number of children with access to safe drinking water
    * FOOD SECURITY: Number of people reached through activities geared towards improving access to food and safety nets
    * HEALTH: Number of medical consultations
    * NUTRITION: Number of acute malnutrition admissions
    * PROTECTION: Number of girls and boys, women and men participating in community-based psycho-social activities
    * SHELTER: Number of people in need of emergency assistance receiving appropriate NFIs through in-kind distribution, vouchers or cash
    * WASH: Number of people reached with access to sustainable safe water services

The sources for the data are as follows: IDP data (PRMN/UNHCR); Rainfall and Rivers (SWALIM); Diseases (Health Cluster/WHO); Monthly Response (Humanitarian Clusters), Water Prices (FAO)



Tags: climate-weather, disease, displacement, drought, education, epidemics-outbreaks, health, hxl, internally displaced persons-idp, water sanitation and hygiene-wash, who is doing what and where-3w-4w-5w
Organization: OCHA Somalia
Satellite detected water extents in Midongy-Atsimo district, Atsimo Atsinanana region, Madagascar as of 8 February 2022

**UNOSAT code: TC20220201MDG**  This map illustrates satellite-detected surface waters in Midongy-Atsimo district, Atsimo Atsinanana region, Madagascar as of 8 February 2022 at 05:21 local time. The flood analysis were carried out by using an automated analysis with Artificial Intelligence based methods. 
Within the analyzed area of about 2,400 km2, ~150 km2 of lands appear to be flooded and about 2 km2 of croplands appear to be likely affected by the flood waters. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is about 6,200 people potentially exposed or living close to flooded areas.

This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.



Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
OXFORD COVID-19 Government Response Stringency index

Governments are taking a wide range of measures in response to the COVID-19 outbreak. The Oxford COVID-19 Government Response Tracker (OxCGRT) aims track and compare government responses to the coronavirus outbreak worldwide rigorously and consistently.

The OxCGRT systematically collects information on several different common policy responses governments have taken, scores the stringency of such measures, and aggregates these scores into a common Stringency Index. For more, please visit > https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker

Tags: covid-19, disease, epidemics-outbreaks, governance and civil society, hxl
Organization: Blavatnik School of Government, University of Oxford
Gambia 2015 Humanitarian Contributions

This lists all humanitarian contributions to Gambia in 2015 as reported to FTS .
The resource listed here is the output from the FTS api in IATI v2 format.

For more information on this dataset visit our [website](http://fts.unocha.org/pageloader.aspx?page=emerg-emergencyDetails&appealID=1078)

Organization: OCHA Financial Tracking System (FTS)
Pakistan Displacement - [TDPs] - Community Needs Identification [IOM DTM]

From June to October 2022, storms and heavy monsoon rains in Pakistan have caused widespread flooding and landslides across the country. IOM implemented the CNI to provide partners with timely information on the displacement situation. This dataset is aggregated to the district level. 

For more information on the multisectoral needs of the affected population at the village level, please find it on the DTM portal (https://dtm.iom.int/pakistan).

Tags: affected population, displacement, hxl, needs assessment, returnees
Organization: International Organization for Migration (IOM)
Damage assessment in Fonoifua Island, Mu'omu'a district, Ha'apai division, Tonga as of 20 January 2022

**UNOSAT code: VO20220115TON**  This map illustrates the impact of the Hunga Tonga-hunga Ha'apai volcanic eruption and the subsequent tsunami in Fonoifua island located at 110 km NE of Nuku'alofa and also the building damage assessment as detected from a Pleaides image acquired on 20 January 2022, 12:43 local time. In this island, UNOSAT identified 30 structures as damaged and/or destroyed and 7 structures as potentially damaged. The entire island appears to be covered with ashes. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: geodata, natural disasters
Organization: United Nations Satellite Centre (UNOSAT)
Democratic Republic of the Congo: JIAF Humanitarian Needs People in Need and Severity

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Tags: affected area, affected population, humanitarian needs overview-hno, humanitarian response plan-hrp, hxl, people in need-pin, severity
Organization: OCHA Democratic Republic of the Congo (DRC)
Central African Republic: JIAF Humanitarian Needs People in Need and Severity

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Tags: affected area, affected population, humanitarian needs overview-hno, humanitarian response plan-hrp, hxl, people in need-pin, severity
Organization: OCHA Central African Republic
South Sudan: JIAF Humanitarian Needs People in Need and Severity

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Tags: affected area, affected population, humanitarian needs overview-hno, humanitarian response plan-hrp, hxl, people in need-pin, severity
Organization: OCHA South Sudan
Somalia: JIAF Humanitarian Needs People in Need and Severity

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Tags: affected area, affected population, humanitarian needs overview-hno, humanitarian response plan-hrp, hxl, people in need-pin, severity
Organization: OCHA Somalia
Satellite-detected water extents in Farafangana and Vangaindrano Districts, Madagascar as of 27 February 2022

**UNOSAT code: TC20220221MDG**  This map illustrates satellite-detected surface waters in Farafangana and Vangaindrano districts,  Atsimo Atsinanana region, Madagascar 
as observed from a Sentinel-1 image acquired on 27 February 2022 at 05:12 local time. Within the analyzed area of about 500 km2, about 18 km2 of lands appear to be flooded. 
Based on Worldpop population data and the detected surface waters, about 3,500 people are potentially exposed or living close to flooded areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent over Nawalparasi West, Rupandehi and Kapilbastu districts, Nepal as of 7 July 2021

**UNOSAT code: FL20210630NPL**  This map illustrates satellite-detected surface waters in Nawalparasi West, Rupandehi and Kapilbastu districts, Lumbini province, Nepal as observed from a Sentinel-1 image acquired on 7 July 2021 at 06:12 local time and using an automated analysis with Machine learning method. Within the analyzed area of about 1,500 km2 and, about 67km2 of lands appear to be flooded. The water extent appears to have decreased of about 110 km2 since 2 July 2021 and moved toward India. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Rupandehi with ~59,000 people and Nawalparasi West with ~5,200 people.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents from 23 to 24 January 2026 in Gaza, Maputo and Maputo City Provinces, Mozambique

**UNOSAT code: FL20251229MOZ, GDACS ID: 1103694**  This map illustrates cumulative satellite-detected water extent derived from Sentinel-1 imagery acquired on 23 and 24 January 2026. Within the analysed area of approximately 64,000 km², an estimated 4,800 km² of land appears to be affected by floodwaters. Based on WorldPop spatial demographic data, approximately 252,000 people are exposed to or living near the flooded areas.  
  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).  
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite  detected water extent over Aj Jabalain District, White Nile State of Sudan as of 19 September 2021

**UNOSAT code: FL20210907SDN**  This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 19 September 2021 over the Aj Jabalain District, White Nile State of Sudan. The water extent appears to have decreased of about 100 km2 since 14 September 2021. In this area, about 124 km2 of croplands appear to be likely affected by the flood waters.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Haiti: JIAF Humanitarian Needs People in Need and Severity

This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).

Tags: affected area, affected population, humanitarian needs overview-hno, humanitarian response plan-hrp, hxl, people in need-pin, severity
Organization: OCHA Haiti
Satellite detected water extents in Mananjary and Nosy-Varika Districts, Madagascar as of 24 February 2022

**UNOSAT code: TC20220221MDG**  This map illustrates satellite-detected surface waters in Mananjary and Nosy-Varika Districts, Vatovavy Fitovinany  Region, Madagascar 
as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time.  Within the analyzed cloud free zones of about 800km2, a total of about 105 km2 of lands appear to be flooded. 
Based on Worldpop population data and the detected surface waters, about 13,400 people are potentially exposed or living close to flooded areas. 
This is a preliminary analysis and has not yet been validated in the field.  Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Ukraine Private Sector Donations Tracker

Data collected by the OCHA/UNDP Connecting Business initiative (CBi) on cash and in-kind donations made by private sector entities (corporations and corporate-affiliated foundations) to help support the the humanitarian response in Ukraine. This data is used to power the Ukraine Private Sector Donations Tracker, available at bit.ly/Biz4UkraineTracker.

Tags: funding
Organization: OCHA/UNDP Connecting Business initiative (CBi)