AndreaBozzo/ceres-open-data-index huggingface dataset:
Armenia: Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet.  
The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.    
The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Tags: facilities-infrastructure, populated places-settlements, population
Organization: Copernicus
Argentina: Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet.  
The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.    
The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Tags: facilities-infrastructure, populated places-settlements, population
Organization: Copernicus
United Arab Emirates: Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet.  
The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.    
The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Tags: facilities-infrastructure, populated places-settlements, population
Organization: Copernicus
Andorra: Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet.  
The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.    
The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Tags: facilities-infrastructure, populated places-settlements, population
Organization: Copernicus
Nigeria Displacement Data - North Central & West Zones - Baseline Assessment [IOM DTM]

The datasets cover the period of 21 June - 30 December and includes the states mostly affected by displacement including Benue,Nasarawa, Kaduna, Kano, Katsina, Plateau, Sokoto and  Zamfara.

Tags: baseline population, displacement, hxl, internally displaced persons-idp, migration
Organization: International Organization for Migration (IOM)
Albania: Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet.  
The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.    
The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Tags: facilities-infrastructure, populated places-settlements, population
Organization: Copernicus
Anguilla: Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet.  
The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.    
The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Tags: facilities-infrastructure, populated places-settlements, population
Organization: Copernicus
Angola: Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet.  
The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.    
The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Tags: facilities-infrastructure, populated places-settlements, population
Organization: Copernicus
Afghanistan: Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet.  
The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.    
The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Tags: facilities-infrastructure, populated places-settlements, population
Organization: Copernicus
Aruba: Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet.  
The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.    
The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Tags: facilities-infrastructure, populated places-settlements, population
Organization: Copernicus
Colombia: Cálculo de las Personas en Necesidad (PiN) y las Severidades del clúster de Alojamientos y Asentamientos (AyA)

El archivo tiene los resultados del cálculo de las Personas en Necesidad (PiN) y las Severidades del clúster de Alojamientos y Asentamientos (AyA) para el año 2025 en Colombia. 

Tags: people in need-pin, severity, shelter
Organization: 3iS
Timor-Leste - Background PMTiles

The tls_all_background dataset provides comprehensive geospatial information for Timor-Leste. This dataset is sourced from [bkk_tls_data](https://github.com/naoyamorishita/bkk_tls_data/). It is designed to support a wide range of applications, including urban planning, environmental monitoring, and infrastructure development. The dataset offers detailed background mapping to ensure accuracy and reliability for projects requiring geospatial data in this area. For additional context and technical details, please refer to the linked repository.

Tags: facilities-infrastructure, geodata
Organization: UN Smart Maps Group
Myanmar: 2020 HNO and HRP data by Humanitarian Consequence by Township

Myanmar: 2020 HNO and HRP data by Humanitarian Consequence by Township.
The attached table offer a combined overview of people in need and targeted population for each population group and humanitarian consequence.
The data is diaggregared until Adm 3 level.

Tags: humanitarian response plan-hrp, hxl, people in need-pin
Organization: OCHA Myanmar
Chad Displacement Data - Baseline Assessment - Returns - Region Logone Oriental - [IOM DTM]

The dataset contains number and needs of returnees in Logone Oriental province. This assessment identified 31,994 returned individuals (7,051 households). The results indicate that half of the returnees live in five sites, including Danamadja and Kobiteye in the city of Goré, which alone account for 27 and 20 percent of the returnees that the province hosts, respectively.

Tags: displacement, hxl, internally displaced persons-idp, returnees
Organization: International Organization for Migration (IOM)
IOM Bangladesh - Needs and Population Monitoring (NPM) Round 16 Site Assessment

Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings.

The two datasets present the result of the NPM Round 16 Site Assessment exercise, which collected information related to the Rohingya refugee population distribution and multisectoral needs from **female key informants and majhee key informants **during the months of 21st August – 10th October.

Rohingya refugee population distribution by para in Teknaf upazila. Please [click here](https://data.humdata.org/dataset/iom-bangladesh-needs-and-population-monitoring-npm-teknaf-para-mapping)

Tags: camp coordination and camp management-cccm, displacement, hxl, needs assessment, refugee crisis, refugees
Organization: International Organization for Migration (IOM)
Latin America and the Caribbean - Regional Refugee and Migrant Response Plan

Full dataset of the RMRP 2025-2026 , including activities, partners, population projections, people in need, and target estimates disaggregated by age and gender, population type at Admin 1 level. More info on the R4V website: https://www.r4v.info/en/data

Tags: affected population, demographics, funding, humanitarian response plan-hrp, migration, operational partners, operational presence, people in need-pin, refugees
Organization: Inter-Agency Coordination Platform for Refugees and Migrants from Venezuela
Mozambique Displacement Data - Baseline Assessment - Idai - [IOM DTM]

Tropical cyclone Idai, on March 15th 2019, brought torrential rains and winds affecting mostly the provinces of Manica, Sofala and Zambézia, In Mozambique, causing flash flooding and subsequent destruction. This dataset contains DTM assessments containing number of affected people, their needs, geographic locations etc.

Tags: cyclones-hurricanes-typhoons, displacement, hxl, internally displaced persons-idp, returnees
Organization: International Organization for Migration (IOM)
North East Nigeria People in Need and People Targeted for Nutrition Assistance in 2019.

The zipped CSV file details the estimated people in need and people targeted for nutrition support at the Local Government Authority (LGA) level in all three crisis-affected states of north east Nigeria. Among other elements, it presents the breakdown people in need and people targeted, by settlement type (notably in Internally Displaced Persons (IDP) Camps, Host Communities and in Inaccessible Areas).

Tags: humanitarian response plan-hrp, nutrition, people in need-pin
Organization: iMMAP Inc.
Schools in Syria 2018 - Edition 4

The ACU’s Information Management Unit conducted the 4th version of its annual research “Schools in Syria”, to highlight the impact of the Syrian conflict on education and the needs of students and school supplies. This is the most representative, nuanced iteration of this study to date, covering 4,079 schools within 99 sub-districts across 10 governorates, building upon 35,925 data e-forms with 31,846 forms on perception surveys. It has significant increase in the number of the functional schools addressed over its first version to the current one by 2,572 schools.

Please note to be more specific as possible on the following when you request the data:

Why are you requesting the data?
What is the intent to use the data?
What is your role?
Who is the organization that you represent for?


Tags: complex emergency-conflict-security, education, logistics
Organization: Assistance Coordination Unit
South Sudan Displacement - Multi-Sectoral Village Assessment -IDPs - Returnees - [IOM-DTM]

The assessment contains IDPs and Returnees data at village level. The data is gender and age disaggregated and also has number of vulnerable population and the needs assessment.

Tags: affected population, conflict-violence, displacement, hxl, internally displaced persons-idp, needs assessment, population, returnees
Organization: International Organization for Migration (IOM)
The Bahamas Displacement - Hurricane Dorian - Site Assessment R3 - [IOM DTM]

This data was collected through 66 key informant interviews across 23 settlements in the affected areas of between the 30th of October and 5th of November. At the time of completion, 5,704 individuals were identified as living in the affected settlements in Greater & Little Abaco.

This multi-sectoral location assessment has been designed with input from the various Emergency Support Functions (ESFs) coordinating the Hurricane Dorian response in the Bahamas. It provides an overview of the population distribution, needs, and access to services,  of returnees, remainees, and evacuees across Greater and Little Abaco. This document is part of a series of ongoing efforts conducted by IOM to inform service providers, humanitarian actors and donors on main needs while reducing survey fatigue of key informants by streamlining assessment activities.



Tags: cyclones-hurricanes-typhoons, displacement, hxl, internally displaced persons-idp, migration
Organization: International Organization for Migration (IOM)
Yemen Displacement Data - Area Assessment [IOM DTM]

The aim of the Sub-Area Assessment is to track and monitor IDP and returnee populations in Yemen. Information is
collected on population size, area of origin, current location, duration of displacement, shelter types, priority needs and
movement trends.
Among the main outputs of the Sub-Area Assessment, is a list of locations where IDPs and/or returnees are present
that can be used to inform more detailed assessments at the location level, including the annual Multi-Cluster Location
Assessment (MCLA). DTM field staff, along with KIs, use the Sub-Area Assessment tool to capture locations, which are
matched to the identified locations in the OCHA Common Operational Dataset (P-Codes). 

Tags: conflict-violence, displacement, hxl, internally displaced persons-idp, migration, returnees
Organization: International Organization for Migration (IOM)
Yemen Displacement - Population Movement [Migrants and Returns] - [IOM-DTM]

DTM in Yemen includes the monitoring of key migrant and return locations on Yemen's northern border with Saudi Arabia and southern coastal border. DTM monitors the arrivals of migrants and Yemeni nationals in order to identify different patterns and types of migration. IOM estimates that 6,589 migrants entered Yemen in addition to 2,819 Yemeni returns from Saudia Arabia during November 2019 bringing the number of migrants who have arrived in Yemen in 2019 to ‭127,275‬‬ and the number of Yemeni returnees to 44,777

Tags: demographics, displacement, hxl, internally displaced persons-idp, migration, returnees
Organization: International Organization for Migration (IOM)
WASH Partner Operational Presence by Indicator, North East Nigeria, January 2018 to June 2019

The zipped dataset contains CSV files on WASH sector partner operational presence (who’s doing what, where, when and for whom) for each of the WASH indicators from January 2018 through June 2019. Data contained in each file is at Local Government Area level and a reference column is included in each file with the Admin2 P-Codes. 

Tags: operational capacity, water sanitation and hygiene-wash, who is doing what and where-3w-4w-5w
Organization: iMMAP Inc.
Hurricane Michael 2018 Twitter Data

About the dataset:
Hurricane Michael was the third-most intense Atlantic hurricane to make landfall in the United States in terms of pressure. This dataset was collected from Twitter during Hurricane Michael. The dataset was processed and analyzed using the AIDR (http://aidr.qcri.org) platform.

Dataset Description:
This is a Twitter dataset collected during Hurricane Michael 2018. The data was collected, processed, and analyzed by the AIDR (http://aidr.qcri.org) platform using state-of-the-art machine learning techniques. The data includes the number of injured and dead people, infrastructure damage reports, missing or found people, urgent needs and donation offers for each hour. Due to Twitter TOS, we do not share full tweets content on HDX. Please contact us via HDX or on aidr.qcri@gmail.com to get tweet ids of the dataset along with a tool which can be used to rehydrate tweets from tweet ids.

Tags: casualties, damage assessment, displacement, facilities-infrastructure, hxl
Organization: Qatar Computing Research Institute
State of Palestine - Drinking water quality analysis at household level in Area C - West Bank

Analysis of water quality at household level during 10 months in 180 families. 
Three different samples have been analized for each household : raw water, water after the filter and water in the cup/glass. 
Parameters: E.coli, Total Coliforms, turibidity, conductivity.

Tags: hxl, water sanitation and hygiene-wash
Organization: Cesvi Palestine
Mortalidad por Enfermedades en Norte de Santander 2015-2018

Cantidad de defunciones por tipo de enfermedad (transmisible y no transmisible) en Colombia y desagregado para los municipios de Norte de Santander. Tasa de mortalidad por tipo de enfermedad.

Tags: health, mortality
Organization: Observatorio Latinoamericano de Desarrollo Sostenible
Burkina Faso : Bilan sur la Malnutrition Aiguë Modérée (MAM) et la Malnutrition Aiguë Sévère (MAS)

Ce jeu de données, désagrégé au niveau administratif 2 et 3, porte sur les enfants souffrant de MAM (Malnutrition Aiguë Modérée), de MAS (Malnutrition Aiguë Sévère), et sur les femmes enceintes et allaitantes (FEFA) qui souffrent de malnutrition aiguë.

Tags: global acute malnutrition-gam, hxl, malnutrition, severe acute malnutrition-sam
Organization: OCHA Burkina Faso