AndreaBozzo/ceres-open-data-index huggingface dataset:
Andorra - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's [Financial Tracking Service](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, hxl
Organization: OCHA Financial Tracking System (FTS)
SIDIH: Homicidios Medicina Legal

El que matare a otro de forma intencional o no intencional (definici\u00f3n aplicada por el Instituto Nacional de Medicina Legal y Ciencias Forenses - Art\u00edculo 103, cap II, C\u00f3digo Penal Colombiano Ley 599 de 2000).

Tags: conflict-violence
Organization: OCHA Colombia
Peace and Security Pillar: United Nations Peace Mission Mandates Dataset (UNPMM)

The United Nations peace Mission Mandates Dataset (UNPMM) is a dataset of all UN peace missions since 1948 and their mandates. It includes peacekeeping operations, special political missions, and good offices engagements. It codes the evolving mandate tasks of all the missions (direct references to the original text in the relevant UN Security Council resolution included on the website). It moreover classifies mandate tasks according to three categories: minimalist, moderate, or maximalist. Mandate tasks within the minimalist sub-category focus on ending violence in the short-term (e.g. ceasefire monitoring). Moderate mandate tasks focus on ending violence and promoting decent governance mechanisms (e.g. providing electoral assistance). Lastly, mandate tasks within the maximalist sub-category focus on addressing the root causes of conflict and institutionalizing governance mechanisms to peacefully resolve conflicts in the future (e.g. developing civil society capacity). The dataset also assigns an overall mission classification to all UN peace missions, following the same logic of minimalist, moderate, and maximalist missions.   
  
The UNPMM is available for download in json and excel formats. More resources are available on the project’s digital platforms (website: http://peacemissions.info; UN Peace Missions App on Apple Store and Google Play), including the UNPMM codebook, executive summaries related to each peace missions, language from the UN Security Council resolutions establishing each mandate tasks, and various analytical outputs.   
  
The UNPMM was established in the framework of the project ‘A Child of Its Time: The Impact of World Politics on UN Peace Missions’ led by Dr. Sara Hellmüller, hosted at the Geneva Graduate Institute and ETH Zürich, and funded by the Swiss National Science Foundation.

Tags: complex emergency-conflict-security, peacekeeping
Organization: United Nations Peace and Security Data Hub
Ethiopia - Mortality Rate at Different Age Group in Ethiopia

The dataset available at [IGME](https://childmortality.org/all-cause-mortality/data/subnat?refArea=ETH) provides national estimates of neonatal mortality rates in Ethiopia. 

These estimates are part of the United Nations Inter-agency Group for Child Mortality Estimation's (UN IGME) efforts to assess child mortality trends at more localized levels, offering insights into regional disparities and progress.​

Tags: children, health, mortality
Organization: 3iS
Ethiopia: Children Under Five Mortality Rate

The dataset available at the [Ethiopian Health Data Analytics and Visualization Hub](https://vizhub.ephi.gov.et/pages/bod/under5_mortality/under5_mortalityByRegions.php) provides information on under-five mortality rates across various regions (Adm 1) in Ethiopia from 1990 to 2020.

Tags: children, health, mortality
Organization: 3iS
Ethiopia - Palmer Drought Severity Index (PDSI)

This dataset provides Palmer Drought Severity Index (PDSI) values for Ethiopia from 2020 to 2024, offering insights into drought conditions across the country. The PDSI is a widely used drought index that measures deviations in soil moisture conditions from the long-term average, helping to identify both drought and wet conditions.

Unlike traditional PDSI calculations that rely on the Thornthwaite method for estimating potential evapotranspiration (ET), this dataset utilizes a more physically based Penman-Monteith reference ET, which accounts for:

* Solar radiation
* Temperature
* Humidity
* Windspeed

## Interpretation of PDSI Values:

* PDSI between -0.5 and 0.5 → Near-normal soil moisture conditions
* PDSI < -4 → Extreme drought
* PDSI > 4 → Very wet conditions

Tags: drought, environment
Organization: 3iS
Ethiopia - Shabelle Basin (Somali) - HydroBASINS

This dataset represents the Level 5 delineation of the Shabelle River Basin in Ethiopia, as defined by the HydroBASINS framework. The Level 5 (L5) subdivision provides a mid-scale segmentation of the Shabelle Basin, capturing key hydrological structures while maintaining computational efficiency.

More information at [Hydrosheds - Hydrobasins](https://www.hydrosheds.org/products/hydrobasins)

Tags: environment, rivers, water sanitation and hygiene-wash
Organization: 3iS
Ethiopia - Tekeze Basin (Tigray) - HydroBASINS

This dataset represents the Level 5 delineation of the Tekeze River Basin in Ethiopia, as defined by the HydroBASINS framework. The Level 5 (L5) subdivision provides a mid-scale segmentation of the Tekeze Basin, capturing key hydrological structures while maintaining computational efficiency.

More information at [Hydrosheds - Hydrobasins](https://www.hydrosheds.org/products/hydrobasins)

Tags: environment, rivers, water sanitation and hygiene-wash
Organization: 3iS
Colombia - Elementos Expuestos-Predicción Impactos por Fenómenos Hidrometeorológicos

Datos sobre los elementos expuestos en zonas susceptibles a inundaciones, sequías meteorológicas y deslizamientos durante el primer trimestre de 2025.
El archivo de Excel incluye 12 hojas con información detallada sobre:
Personas, hogares y viviendas.
Zonas de cultivos.
Instituciones educativas
Centros de salud.
En zonas susceptibles de inundación, sequía meteorológica y deslizamientos para el primer trimestre del año, así mismo se adiciono para cada resultado el nivel de riesgo para cada municipio a partir del Índice Municipal de Riesgo Ajustado por Capacidades desarrollado por el DNP.
 
Las fuentes de información utilizadas son el IDEAM, el DANE, DNP - Clúster de Salud y UNICEF Emergencias.

Tags: agriculture-livestock, drought, education facilities-schools, flooding, health facilities, natural disasters, people in need-pin
Organization: OCHA Colombia
Ukraine: National Demographic Forecast

This forecast is an approximate estimate of Ukraine’s future population.

It is based on the estimate by the Institute for Demography and Quality of Life Issues of the National Academy of Sciences of Ukraine of the country’s population as of January 1, 2022, within the 1991 borders.

The forecast is built on expert assessments by specialists from the Institute for Demography and Quality of Life Issues of the National Academy of Sciences of Ukraine regarding changes in birth rates, life expectancy, and population migration. These expert assessments are based on data from the Ministry of Justice of Ukraine on registered births and deaths, as well as migration data from the State Border Guard Service of Ukraine and international organizations.

The forecast was developed under the assumption that the Russian-Ukrainian war will end in 2026. It is conducted within the 1991 borders of Ukraine. The time period of the dataset covers January 1, 2022, to January 1, 2040.

The forecast is of a recommendatory nature and serves as a basis for developing state strategies and programs aimed at stabilizing the demographic situation.

Tags: demographics, forecasting, population
Organization: OCHA Ukraine
Ethiopia - 150 Hotspot Woredas

The NDRMC has identified 150 hotspot woredas (woredas being administrative districts in Ethiopia) as critical areas where humanitarian needs are most acute. These hotspot woredas are selected based on various vulnerability indicators, such as food insecurity, climate-related shocks (e.g., droughts, floods) and other socio-economic factors that contribute to humanitarian challenges.

The identification of these hotspot woredas is crucial for planning and resource allocation under the HRP 2025 , which is a comprehensive strategy aimed at addressing the humanitarian needs of populations affected by crises. The Population in Need (PiN) is a key metric used in HRPs to estimate the number of people requiring humanitarian assistance. By focusing on these 150 hotspot woredas, the NDRMC aims to ensure that resources and interventions are targeted effectively to reach the most vulnerable communities.

Tags: affected area
Organization: 3iS
Cambodia Children’s Climate Risk Index (CCRI) subnational risk assessment.

Developed by the Cambodia Ministry of Environment in collaboration with UNICEF, the Children’s Climate Risk Index for Cambodia (CCRI) offers an in-depth look at how children in Cambodia are exposed to and affected by climate and environmental hazards. This index is the first of its kind, focusing on the lowest administrative level (commune), that provides a detailed view of children's vulnerabilities based on their access to essential services such as health, education, WASH (Water, Sanitation, and Hygiene), and social and child protection. It has been adapted from the framework of UNICEF’s global Children’s Climate Risk Index.  

The CCRI-Cambodia is developed as a subnational adaptation of UNICEF’s global Children’s Climate Risk Index. It also draws heavily from the methodology and approach of the Index for Risk Management (INFORM) as a primary reference. It incorporates Cambodia-specific components and indicators from the two pillars used in the global CCRI. Pillar 1 estimates children’s exposure to multiple climate and environmental hazards, shocks and disasters, while pillar 2 assesses children’s vulnerability to such threats.

The CCRI adopts a multi-shock and multi-sectoral approach and, importantly, goes beyond a sole focus on climate risks to encompass broader and overlapping natural and environmental shocks that affect children at the lowest of Cambodia’s four-tier administrative system (national, provincial, district and commune). It also considers critical factors of vulnerability across social sectors: child health and nutrition, water, sanitation and hygiene (WASH), child protection, education and livelihoods and social protection. It is therefore a significant milestone towards identifying where children (under 18 years) in the country are most at risk of climate and environmental shocks because of a lack of access to critical social services. 

The CCRI-Cambodia model can also be found on the GeoSight dashboard, which is a geospatial platform intended to provide an easy-to-use and open-source cartographic visualization of the CCRI Cambodia model created by UNICEF. 
Link: https://geosight.unicef.org/project/cambodia-ccri-drm-index. 
The Model could also be found on the Cambodia Ministry of Environment. 
The link: https://ncsd.moe.gov.kh/dcc/data-portal/cambodias-childrens-climate-risk-index-ccri. 

An analytical report is also available. The link: https://www.unicef.org/cambodia/reports/childrens-climate-risk-index-cambodia

The CCRI-Cambodia can further stimulate and facilitate stakeholder engagement at the local level and improve collaboration, coordination and collective efforts.


Organization: INFORM
Ethiopia - Operational Rapid Response Mechanisms (RRMs)

This dataset contains information collected from a survey of four Rapid Response Mechanisms (RRMs) operating in Ethiopia. The data includes details on the RRM's management, the types of emergencies they address, their operational timelines, donor information, implementation partners, response effectiveness, coordination levels, and information management practices. The dataset aims to provide a comprehensive overview of RRM operations to identify strengths, weaknesses, and areas for improvement.

Tags: disaster risk reduction-drr, operational presence
Organization: 3iS
Ukraine - Subnational Administrative Boundaries - enhanced metadata demonstration

The actual boundaries were most recently adjusted in:  January 2025.  
Boundary information source:  State Scientific Production Enterprise “Kartographia”.  
Contributor:  OCHA Field Information Services Section (FISS).  
COD-AB quality level:  cod-enhanced (geometry and attributes verified and standardized) and live services available.  
https://codgis.itos.uga.edu/arcgis/rest/services/COD_External/UKR_pcode/FeatureServer[feature server](https://codgis.itos.uga.edu/arcgis/rest/services/COD_External/UKR_pcode/FeatureServer).  
Most recent COD-AB review conclusion:  The COD-AB does not require any update.  
OCHA country status:  Operational (country office).  
An edge-matched (COD-EM) dataset is available  
Most recent COD-AB review date:  January 2025.  
Deepest administrative level:  ADM4.  
COD-PS HDX URL:  https://data.humdata.org/dataset/cod-ps-ukr.  
Deepest administrative level with complete coverage:  ADM3.  
COD-EM HDX link:  https://data.humdata.org/dataset/cod-em-ukr.  
Administrative level required by humanitarian community:  ADM2.  
Note:  The Ukrainian government has not fully implemented its new administrative structure reforms in the Autonomous Republic of Crimea [UA01] and Sevastopol [UA85].  
Consequently, 31 ADM4 features within the Sevastopol ADM3 polygon retain P-codes that do not correctly conform to [UA85]. This will be rectified in a COD-AB update once the government has regained control of the Crimean Peninsula.  
Note:  Some administrative feature names were adjusted in a September/October 2024 administratrive feature renaming exercise.  See reference table at https://data.humdata.org/dataset/cod-ab-ukr.  
Note:  The Ukraine COD-AB was most recently adjusted in early 2024 - affecting administrative level 3 (hromadas) only.  
Note:  The population statistics common operational dataset (COD-PS-UKR) is only available via special request.  See [Ukraine - Subnational Population Statistics](https://data.humdata.org/dataset/cod-ps-ukr).  Users should use the 'Request Data' button.  
Note:  Limitations of the Ukrainian-to-Russian transliteration method mean that more than one Ukrainian name may be represented by a single Russian feature name.  
Note:  Feature name attribute fields in this dataset incorrectly use 'UA' to represent the Ukrainian language.  The correct language code is 'UK'.  This will be resolved in 2026.  

Organization: OCHA Field Information Services Section (FISS)
Ethiopia - Cholera Cases by Region

This dataset provides a summary of cholera cases and deaths across regions in Ethiopia as reported by the Ethiopian Public Health Institute (EPHI) and compiled by the Ethiopian Disaster Risk Management Commission (EDRMC) through their monthly reports. 

The reports referenced in this dataset are publicly accessible at: [Monthly English Bulletin](https://edrmc.gov.et/early-warning-response/bulletins/monthly-english-bulletin/)

Tags: disease, epidemics-outbreaks, health
Organization: 3iS
Ethiopia - Settlements with administrative boundaries

The GRID3 ETH - Settlement Extents v3.0 consists of a geographic representation of settlements in Ethiopia. Data inputs and methodology are described in data release notes available at [GRID3 ETH - Settlement Extents v3.0](https://data.grid3.org/datasets/5bf298c9a55141a082911b406068e276_0/explore?location=8.996671%2C40.473332%2C5.70)

3iS has enhanced the settlement dataset by integrating administrative attributes from a shapefile at the Admin 3 level. This process involved associating settlements with the corresponding administrative divisions, including the following attributes:

- Admin 1 (Region) Names and P-codes: Identifying the broader regions where settlements are located.
- Admin 2 (Zone) Names and P-codes: Associating zones within regions to each settlement.
- Admin 3 (Woreda) Names and P-codes: Providing detailed locality-level information.

Tags: administrative boundaries-divisions, geodata, populated places-settlements
Organization: 3iS
Costa Rica - Subnational Edge-matched Administrative Boundaries

Costa Rica administrative level 0-3 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.

COD-EM datasets do not replace the authoritative [COD-AB available here](https://data.humdata.org/dataset/cod-ab-cri); however COD-EM datasets may be preferred for cartographic purposes.  See caveats.

These layers are suitable for database or GIS linkage to the [Costa Rica - Subnational Population Statistics](https://data.humdata.org/dataset/cod-ps-tcd) tables.

Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.

Organization: OCHA Field Information Services Section (FISS)
Colombia - Tasas específicas de fecundidad por grupo de edad y conflicto armado regional

Este archivo contiene los siguientes procesos: 1.Tasas de fecundidad para 2023 por región para los grupos de edad de 10 a 14 años y de 15 a 19 años. 2.Tasas de conflicto armado (todos los eventos) para 2023 por región. 3.Tasas de conflicto armado (eventos de violencia sexual y confinamiento por separado) por región, en Colombia.

Tags: births, conflict-violence, health
Organization: 3iS
GRID3 ZWE - Settlement Extents v3.0

The GRID3 ZWE - Settlement Extents v3.0 consists of a geographic representation of settlements in Zimbabwe, in two forms:
(1) settlement polygons, and 
(2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. 

Both layers include attributes as described in the codebooks. 

The current version supersedes GRID3 Zimbabwe Settlement Extents, Version 02; the following changes were made:
(1) Development of a new methodology to derive building counts and settlement polygons with open data.
(2) Estimation of a probability value for settlement polygons
(3) Addition of a building-area measure
(4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets
(5) Elimination of building-count ranges
(6) Elimination of variable comparing to previous versions

Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 ZWE - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

Tags: geodata, populated places-settlements
Organization: GRID3
GRID3 ZMB - Settlement Extents v3.0

The GRID3 ZMB - Settlement Extents v3.0 consists of a geographic representation of settlements in Zambia, in two forms:
(1) settlement polygons, and 
(2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. 

Both layers include attributes as described in the codebooks. 

The current version supersedes GRID3 Zambia Settlement Extents, Version 02; the following changes were made:
(1) Development of a new methodology to derive building counts and settlement polygons with open data.
(2) Estimation of a probability value for settlement polygons
(3) Addition of a building-area measure
(4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets
(5) Elimination of building-count ranges
(6) Elimination of variable comparing to previous versions

Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 ZMB - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].


Tags: geodata, populated places-settlements
Organization: GRID3
Central America - Volcanic activity risk

Volcanic activity risk has been assessed based on data obtained from the Ministry of Environment of El Salvador. In this analysis, circular areas have been delineated around the location of each active volcano. The hazard classification is determined by the proximity of a specific area to a volcano. The information is showed by country, department and municipality of Central America (Nicaragua, Honduras, Guatemala, El Salvador)

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information. 

Tags: climate hazards, environment
Organization: Acción contra el hambre - GIS4tech
Yemen: IDPs, Refugees, and Migrants

This dataset includes information on IDPs, refugees, and migrants in Yemen up until September 2022 at the governorate and district levels. This dataset is a valuable resource for researchers, policymakers, and humanitarian organizations aiming to analyze and address the specific needs and challenges faced by IDPs, refugees, and migrants in different regions of Yemen.

Tags: displacement, internally displaced persons-idp, population, refugees, returnees
Organization: OCHA Yemen
Libya Subnational Population and Housing Data Tables with Administrative Boundaries, Based on National Census and Surveys

The geodatabase contains boundaries for the national and first-order administrative divisions aligned to the Large Scale International Boundaries dataset from the U.S. Department of State, as well as points for the second- and third-order administrative divisions. The feature classes are suitable for linking to the attribute data provided.

The tabular data contain total population for 2012 (estimates) and 2020 (estimates), as well as five-year age group and sex, and information relating to households, nationality, population displacement, household amenities, and internally displaced people and needs.

Organization: U.S. Census Bureau
A Prospective Evaluation of Nutrition Protocol Adaptations  in the Context of the COVID-19 Pandemic in South Sudan

This is the underlying data for a manuscript pending publication. The manuscript reports results from a non-randomized prospective cohort study that compared outcomes of acutely malnourished children treated under South Sudan’s standard national CMAM protocol vs children treated via the COVID-modified CMAM protocol in terms of standard nutrition program indicators (i.e., recovery rates and length of stay).

Organization: Johns Hopkins School of Public Health
South Sudan - Comparison of MUAC tapes

###South Sudan's Family Mid-Upper Arm Circumference approach during the COVID-19 pandemic: a comparison of MUAC tapes###

This is the underlying data for two manuscripts that report results from a three-group prospective non-randomized study that compared the performance of three different MUAC tapes (i.e., UNICEF 2020 tape, UNICEF 2009 tape, GOAL MAMI tape) in Central Equatoria and Warrap States, South Sudan. The primary outcome was the false negative rate (i.e., the proportion of children not identified as acutely malnourished by the caregiver identified as acutely malnourished by study enumerators. 

Tags: covid-19, malnutrition
Organization: Johns Hopkins School of Public Health
INFORM subnational model of Bangladesh

The Bangladesh INFORM model provides a solid baseline for risk indexing and monitoring in each of Bangladesh’s 64 districts (2nd administrative tier) and 553 Upazilas and/or Thanas (3rd administrative tier). The index has been developed under coordination of Ministry of Disaster Management and Relief of the Government of Bangladesh   and United Nations Resident Coordinator office in Bangladesh, with support from UNDRR.

Tags: hazards and risk, indicators
Organization: UN in Bangladesh