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

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

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

Monthly vegetation coverage statistics including green photoactive vegetation and dry non-photoactive vegetation (in % of coverage) are calculated from January 2001 onwards at Admin 0, 1, 2 and 3 levels.

The source dataset is the Total Vegetation Cover (TVC) product from GEOGLAM RAPP Rangeland and Pasture Productivity (500m resolution), reprocessed to extract vegetation coverage statistics. https://www.geo-rapp.org/

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 – Couverture de Végétation Totale

Les statistiques mensuelles de couverture de la végétation, comprenant la végétation verte photoactive et la végétation sèche non photoactive (en pourcentage de couverture), sont calculées depuis janvier 2001 aux niveaux administratifs 0, 1, 2 et 3.

Le jeu de données source est le produit Total Vegetation Cover (TVC) de GEOGLAM RAPP – Rangeland and Pasture Productivity (résolution de 500 m), retraité afin d’extraire des statistiques de couverture végétale.
https://www.geo-rapp.org/

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, climate hazards, environment, hazards and risk, sahel, west africa
Organization: Action Against Hunger ACF - Regional Office for West and Central Africa ROWCA
Finland - Conflict Events

A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Finland. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please [register](https://acleddata.com/register/) to use the [Data Export Tool](https://acleddata.com/data-export-tool/) and [API](https://acleddata.com/download/2833/) on the ACLED website.

Tags: conflict-violence
Organization: Armed Conflict Location & Event Data Project (ACLED)
Chad: Response Plan projects

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

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

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

Projects proposed, in progress, or completed as part of the annual Czechia Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

**Important:** some projects in Czechia might be missing, and others might not apply specifically to Czechia. 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)
Satellite detected waters in Thua Thien Hue Province of Viet Nam as of 29 October 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 29 October 2020 at about 05:43 local time. Within the analyzed area of about 5,000 km2, a total of about 270 km2 of lands appear to be flooded. The water extent appears to have increased of about 40 km2 since 25 October 2020. Based on Worldpop population data and the detected surface waters, about 100,000 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)
Mali: Integrated Context Analysis (ICA), 2014


    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk.

The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
    

Tags: geodata, hazards and risk
Organization: WFP - World Food Programme
Bulgaria: Response Plan projects

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

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

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3.  
  
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
Iraq: Response Plan projects

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

The DIEM Events Visualization in Emergencies (EVE) system provides resources to enhance the understanding of flood events and their impact on different land cover types, with a particular focus on agricultural areas. EVE provides a flood persistence analysis as well as an estimation of the population exposed to such events.

EVE utilizes satellite-derived data from the NOAA Visible Infrared Imaging Radiometer Suite (VIIRS) at a 375-meter resolution, alongside land cover data from the European Space Agency’s WorldCover 10m 2021 dataset. Covering approximately 40 countries, the system offers daily and biweekly insights, providing a continuously updated view of flood dynamics and their effects. Access the [FAO EVE user guide](https://data-in-emergencies.fao.org/documents/3335ee769a4e45708e27d2ee25d13bef/about) to learn more.

The platform presents results through interactive maps, charts, and tables, supporting decision-making in disaster management, agricultural planning, and environmental monitoring. Most resources are publicly accessible, though downloading aggregated data at the admin2 level requires a [DIEM account](https://hqfao.maps.arcgis.com/sharing/rest/oauth2/signup?client_id=aEXLMtXxljlIrgPN&response_type=token&expiration=20160&showSocialLogins=true&locale=en-us&redirect_uri=https%3A%2F%2Fdata-in-emergencies.fao.org%2Ftorii-provider-arcgis%2Fhub-redirect.html).

EVE products are preliminary analyses and have not yet undergone field validation. Users are encouraged to provide ground feedback to the [FAO Data in Emergencies (DIEM) team](https://data-in-emergencies.fao.org/pages/contactus) to enhance the accuracy and utility of the data.


Tags: affected area, affected population, climate hazards, flooding
Organization: Food and Agriculture Organization (FAO) of the United Nations
Indonesia - Earthquake on Jun 16 2026

**ADAM ID: **[sm\_us7000st95](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us7000st95)  Magnitude 6.7 earthquake at 10.0 depth occurred on Jun 16 2026 34km S of Parigi. The epicentre of the earthquake was located at latitude -1.1173 longitude 120.199. It impacted 636265 people within 50km.    
    
WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

Tags: affected population, earthquake-tsunami, geodata
Organization: WFP Automated Disaster Analysis & Mapping
China - Earthquake on Jun 16 2026

**ADAM ID: **[sm\_us7000stbz](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_eq_events/items?uid=sm_us7000stbz)  Magnitude 6.3 earthquake at 10.0 depth occurred on Jun 16 2026 260 km SSE of Dunhuang, China. The epicentre of the earthquake was located at latitude 37.8888 longitude 95.4028. It impacted 1850 people within 50km.    
    
WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

Tags: affected population, earthquake-tsunami, geodata
Organization: WFP Automated Disaster Analysis & Mapping
ReliefWeb Disasters List

ReliefWeb is a humanitarian information service provided by the United Nations Office for the Coordination of Humanitarian Affairs (OCHA). ReliefWeb's editorial team monitors and collects information from more than 4,000 key sources, including humanitarian agencies at the international and local levels, governments, think-tanks and research institutions, and the media.

[ReliefWeb disaster dataset](https://reliefweb.int/disasters) provides an overview of the situation and situation reports, news and press releases, assessments, evaluations, infographics and maps of natural disasters with humanitarian impact from 1981 until today.


Tags: climate hazards, climate-weather, drought, earthquake-tsunami, flooding, natural disasters
Organization: ReliefWeb
Bolivia (Plurinational State of) - Food Prices

Food Prices for Bolivia (Plurinational State of).

Contains data from the FAOSTAT [bulk data service](https://fenixservices.fao.org/faostat/static/bulkdownloads/datasets_E.json) covering the following categories: Prices: Consumer Price Indices, Prices: Deflators, Prices: Exchange rates, Prices: Producer Prices

Tags: food security, indicators
Organization: Food and Agriculture Organization (FAO) of the United Nations
Tanzania Flood Inundation (100 year return period)

<p>This dataset is the output from the Global Flood Model intercomparison project undertaken on behalf of the Global Flood Partnership. The methodology is described in Trigg et al., 2016, "The credibility challenge for global fluvial flood risk analysis," published in the Environmental Research Letters Journal.</p>
<p>Each file is a geospatial, WGS84, 1/1200 decimal degrees resolution (~90m) GeoTIFF raster with a classified integer value representing how many out of the 6 models agree that a cell is wet (note 0 - dry/no data)</p>

Tags: flooding, geodata
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Uganda Flood Inundation (100 year return period)

<p>This dataset is the output from the Global Flood Model intercomparison project undertaken on behalf of the Global Flood Partnership. The methodology is described in Trigg et al., 2016, "The credibility challenge for global fluvial flood risk analysis," published in the Environmental Research Letters Journal.</p>
<p>Each file is a geospatial, WGS84, 1/1200 ( 0.000833)&nbsp; decimal degrees resolution (~90m) GeoTIFF raster with a classified integer value representing how many out of the 6 models agree that a cell is wet (note 0 - dry/no data)</p>

Tags: flooding, geodata
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Sudan Flood Inundation (100 year return period)

<p>This dataset is the output from the Global Flood Model intercomparison project undertaken on behalf of the Global Flood Partnership. The methodology is described in Trigg et al., 2016, "The credibility challenge for global fluvial flood risk analysis," published in the Environmental Research Letters Journal.</p>
<p>Each file is a geospatial, WGS84, 1/1200 decimal degrees resolution (~90m) GeoTIFF raster with a classified integer value representing how many out of the 6 models agree that a cell is wet (note 0 - dry/no data)</p>

Tags: flooding, geodata
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
South Sudan Flood  Inundation (100 year return period)

<p>This dataset is the output from the Global Flood Model intercomparison project undertaken on behalf of the Global Flood Partnership. The methodology is described in Trigg et al., 2016, "The credibility challenge for global fluvial flood risk analysis," published in the Environmental Research Letters Journal.</p>
<p>Each file is a geospatial, WGS84, 1/1200 decimal degrees resolution (~90m) GeoTIFF raster with a classified integer value representing how many out of the 6 models agree that a cell is wet (note 0 - dry/no data)</p>
<p>&nbsp;</p>

Tags: flooding, geodata
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Somalia Regions hit by 2015 Tropical Cyclone Chapala

<p>On November 2, 2015 Cyclone Chapala entered the Gulf of Aden as the strongest tropical cyclone on record. The storm dropped heavy rainfall in Puntland and Somaliland.</p>
<p>This layer shows the occurence of TC Chapala in two Somalia regions: Bari and Woqooyi Galbeed Provinces. TC Chapala first made a landfall in Yemen; however, its effects were also felt across the Gulf of Aden in Somalia where extensive rainfall was experienced in the Northern Bari region in Bosaso district, Puntland.</p>

<p>TC Chapala was characterized by heavy rainfall that had adverse impacts in the regions. It resulted to death of over 25,000 animals and left thousands of people homeless, leaving some local nomadic tribes without any food.</p>
<p>Impacts recorded included:</p>
<ol>
<li>Number of people affected: up to 80% of the population.</li>
<li>Number of people worst hit: 500 families(4000ppl)</li>
<li>Number of people displaced: 4000</li>
<li>Livestock destroyed: 3,000 sheep and goats and 200 camels</li>
</ol>

Tags: geodata, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Somalia Flood Inundation (100 year return period)

<p>This dataset is the output from the Global Flood Model intercomparison project undertaken on behalf of the Global Flood Partnership. The methodology is described in Trigg et al., 2016, "The credibility challenge for global fluvial flood risk analysis," published in the Environmental Research Letters Journal.</p>
<p>Each file is a geospatial, WGS84, 1/1200 decimal degrees resolution (~90m) GeoTIFF raster with a classified integer value representing how many out of the 6 models agree that a cell is wet (note 0 - dry/no data)</p>

Tags: flooding, geodata
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Somalia  livestock density

<div class="ewa-rteLine">This dataset contains the most up to date version of GLW 4 for the reference year 2020 for the following species: buffalo, cattle, sheep, goats, pigs and chicken. The individual species datasets are available at global extent and 5 minutes of arc resolution (approx. 10 km at the equator).</div>
<div class="ewa-rteLine">&nbsp;</div>
<div class="ewa-rteLine">The fourth version of GLW, compared to the previous ones, reflects the most recently compiled and harmonized subnational livestock distribution data and much more detailed metadata.</div>
<div class="ewa-rteLine">&nbsp;</div>
<div class="ewa-rteLine">The layers contain the density of animals per km&sup2;, with weight estimated by the Random Forest model. The livestock species modelled include: buffaloes, cattle, chickens, goats, pigs and sheep</div>

Tags: geodata, topography
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Türkiye: Response Plan projects

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

<div class="ewa-rteLine">The dataset contains global crop at 0.0089286 deg resolution (about 1 squared kilometer).</div>
<div class="ewa-rteLine">&nbsp;</div>
<div class="ewa-rteLine">Each pixel represents the area fraction of the specific cover (i.e. percentage of the pixel with rangelands)</div>

Tags: geodata
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Somalia Agrobiodiversity

<p>Gridded datasets used in Jones et al. (2021) paper 'Agrobiodiversity Index scores show agrobiodiversity is underutilized in national food systems'. Details of how datasets were made and underlying sources are provided in Jones et al. (2021) Supplementary Information - with a resolution of 0.05* 0.05 pixels approximately 5000 metres and referenced 2022</p>

Tags: geodata
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Somalia Dependency Ratio

<div class="ewa-rteLine"><strong>Somalia Sub-national level dependency ratios: Africa 2010</strong></div>
<div class="ewa-rteLine">&nbsp;Gridded, spatial datasets for Africa providing version 1.0 estimates for dependency ratios at sub-national level. Ratios are based on sub-national estimates for 5-year age group proportions. The series is comprised of 3 raster datasets: 1) The ratio of dependents (both young, 0 to 14, and old, 65 ) upon the working age population; 2) The ratio of young dependents upon the working age population; 3) The ratio of older dependents upon the working age population.</div>
<div class="ewa-rteLine">&nbsp;</div>
<div class="ewa-rteLine">REGION: Africa</div>
<div class="ewa-rteLine">&nbsp;</div>
<div class="ewa-rteLine">DATA RESOLUTION: Sub-national administrative areas</div>
<div class="ewa-rteLine">&nbsp;</div>
<div class="ewa-rteLine">SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator)</div>
<div class="ewa-rteLine">&nbsp;</div>
<div class="ewa-rteLine">PROJECTION: Geographic, WGS84</div>
<div class="ewa-rteLine">&nbsp;</div>
<div class="ewa-rteLine">UNITS: Sub-national dependency ratios</div>
<div class="ewa-rteLine">&nbsp;</div>
<div class="ewa-rteLine">FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)</div>
<div class="ewa-rteLine">&nbsp;</div>
<div class="ewa-rteLine">DATASET CONSTRUCTION DETAILS: This dataset is derived from the WorldPop Whole Continent Age Structures data series, described here:</div>
<div class="ewa-rteLine">&nbsp;</div>
<div class="ewa-rteLine">http://www.worldpop.org.uk/data/data_sources/. The Population count raster datasets for the relevant age groups were combined using spatial analytical tools in a GIS system, in order to derive the dependency ratios. Full details of WorldPop population mapping methodologies are described here: www.worldpop.org.uk/data/methods/</div>
<div class="ewa-rteLine">&nbsp;</div>
<div class="ewa-rteLine">DATE OF PRODUCTION: Dec 2016</div>

Tags: geodata
Organization: IGAD Climate Prediction and Applications Center (ICPAC)