AndreaBozzo/ceres-open-data-index huggingface dataset:
Afghanistan: Humanitarian Situation Monitoring (HSM) Round 9 KII (Analysis)

The Humanitarian Situation Monitoring (HSM) is a quarterly community-level multi-sectoral needs assessment. It builds upon the previously implemented Hard-to-Reach assessment and expanded its geographic coverage to encompass the entire country in early 2022, due to the shift in context. 
HSM aims to collect and triangulate information regularly regarding service provision, sectoral needs, and vulnerabilities in Afghan communities to support geographical and sectoral prioritizations, particularly in light of Afghanistan's rapidly evolving context.
HSM assesses the sectoral and multi-sectoral needs of populations in all districts by filling in information gaps and enhancing response capacity for district-level prioritisation.

Tags: disability, education, health, internally displaced persons-idp, livelihoods, markets, natural disasters, needs assessment, non-food items-nfi, protection, shelter, water sanitation and hygiene-wash
Organization: REACH Initiative
GRID3 COM - Settlement Extents v3.0

The GRID3 COM - Settlement Extents v3.0 consists of a geographic representation of settlements in Comoros, 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 Comoros 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 COM - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].


Tags: geodata, populated places-settlements
Organization: GRID3
Post-Conflict Multisectoral Rapid Needs Assessment in Syria - Aggregated Data

After 13 years of relentless conflict, Syria face severe humanitarian challenges driven by deteriorating infrastructure, disrupted livelihoods, and inadequate essential services. With the recent fall of Assad’s regime and Syria’s liberation, the Rapid Needs Assessment (RNA) underscores pressing multisectoral needs in education, food security, WASH, protection, livelihoods, health, and shelter. Key priorities include restoring electricity, enhancing education, ensuring security, delivering food and water, and addressing critical health and shelter needs. These findings highlight the urgency of coordinated interventions to tackle the complex crises affecting communities in Syria.

Tags: education, health, humanitarian access, livelihoods, non-food items-nfi, nutrition, protection, shelter, water sanitation and hygiene-wash
Organization: Assistance Coordination Unit
GRID3 COG - Settlement Extents v3.0

The GRID3 COG - Settlement Extents v3.0 consists of a geographic representation of settlements in Republic of the Congo, 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 Republic of the Congo 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 COG - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].


Tags: geodata, populated places-settlements
Organization: GRID3
Afghanistan - Who does What Where (July to September 2024)

The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed [here](https://response.reliefweb.int/afghanistan/who-does-what-where-3w?_gl=1*g902oc*_ga*MTYyOTk1NDg4OC4xNjc2NTM2NTk3*_ga_E60ZNX2F68*MTcwNDE3NzMzMC4xNDAuMS4xNzA0MTg0MTQ5LjU4LjAuMA). 

Tags: hxl, operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
GRID3 CMR - Settlement Extents v3.0

The GRID3 CMR - Settlement Extents v3.0 consists of a geographic representation of settlements in Cameroon, 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 Cameroon 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 CMR - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].


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

The GRID3 CIV - Settlement Extents v3.0 consists of a geographic representation of settlements in Côte d'Ivoire, 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 Côte d'Ivoire 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 CIV - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].


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

The GRID3 CAF - Settlement Extents v3.0 consists of a geographic representation of settlements in Central African Republic, 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 Central African Republic 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 CAF - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].


Tags: geodata, populated places-settlements
Organization: GRID3
Djibouti - Towns

Djibouti Towns

The names of the settlements were obtained from the GEOnet Name Server  (NIMA), the locations of the settlements have been modified by randomly moving them by ±30.Created 07/11/2000

Topographical maps of 1:100000 and 1:200000 of Djibouti were then used to relocate the settlements. The topomaps were issued by INSTITUT GEOGRAPHIQUE NATIONAL, Rue de Grenelle-Paris, 1956-1961.


Tags: geodata, populated places-settlements
Organization: OCHA Regional Office for Southern and Eastern Africa (ROSEA)
GRID3 BWA - Settlement Extents v3.0

The GRID3 BWA - Settlement Extents v3.0 consists of a geographic representation of settlements in Botswana, 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 Botswana 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 BWA - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].


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

The GRID3 BFA - Settlement Extents v3.0 consists of a geographic representation of settlements in Burkina Faso, 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 Burkina Faso 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 BFA - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].



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

The GRID3 BEN - Settlement Extents v3.0 consists of a geographic representation of settlements in Benin, 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 Benin 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 BEN - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

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

The GRID3 BDI - Settlement Extents v3.0 consists of a geographic representation of settlements in Burundi, 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 Burundi 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 BDI - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].


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

The GRID3 AGO - Settlement Extents v3.0 consists of a geographic representation of settlements in Angola, 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 Angola 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 AGO - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].


Tags: geodata, populated places-settlements
Organization: GRID3
Afghanistan: Humanitarian Situation Monitoring (HSM) Round 8 KII (Analysis)

The Humanitarian Situation Monitoring (HSM) is a quarterly community-level multi-sectoral needs assessment. It builds upon the previously implemented Hard-to-Reach assessment and expanded its geographic coverage to encompass the entire country in early 2022, due to the shift in context. 
HSM aims to collect and then triangulate information regarding service provision, sectoral needs, and vulnerabilities in Afghan communities regularly, in order to support geographical and sectoral prioritizations, particularly in light of the rapidly evolving context in Afghanistan.
HSM round eight also seeks to complement the annual household-level Whole of Afghanistan Assessment (WoAA) 2024, which assesses the multi-sectoral and sectoral needs of target populations in the Humanitarian Needs and Response Plan (HNRP), by filling in information gaps and enhancing response capacity for district-level prioritisation.

Tags: agriculture-livestock, disability, displacement, education, food security, health, livelihoods, markets, natural disasters, needs assessment, protection, shelter, water sanitation and hygiene-wash
Organization: REACH Initiative
Afghanistan: Humanitarian Situation Monitoring (HSM) Round 7 KII (Analysis)

The Humanitarian Situation Monitoring (HSM) is a quarterly community-level multi-sectoral needs assessment. It builds upon the previously implemented Hard-to-Reach assessment and expanded its geographic coverage to encompass the entire country in early 2022, due to the shift in context. 
HSM aims to collect and then triangulate information regarding service provision, sectoral needs, and vulnerabilities in Afghan communities regularly, in order to support geographical and sectoral prioritizations, particularly in light of the rapidly evolving context in Afghanistan.
HSM assesses the sectoral and multi-sectoral needs of populations in all districts by filling in information gaps and enhancing response capacity for district-level prioritization.

Tags: agriculture-livestock, disability, displacement, education, food security, health, internally displaced persons-idp, livelihoods, markets, needs assessment, non-food items-nfi, nutrition, protection, shelter, water sanitation and hygiene-wash
Organization: REACH Initiative
Afghanistan: Humanitarian Situation Monitoring (HSM) Round 6 KII (Analysis)

The Humanitarian Situation Monitoring (HSM) is a quarterly community-level multi-sectoral needs assessment. It builds upon the previously implemented Hard-to-Reach assessment and expanded its geographic coverage to encompass the entire country in early 2022, due to the shift in context. 
HSM aims to collect and then triangulate information regarding service provision, sectoral needs, and vulnerabilities in Afghan communities regularly, in order to support geographical and sectoral prioritizations, particularly in light of the rapidly evolving context in Afghanistan.
HSM assesses the sectoral and multi-sectoral needs of populations in all districts by filling in information gaps and enhancing response capacity for district-level prioritization.

Tags: agriculture-livestock, climate hazards, demographics, disability, displacement, education, education facilities-schools, food security, forced displacement, governance and civil society, hazards and risk, health, humanitarian access, internally displaced persons-idp, livelihoods, markets, natural disasters, needs assessment, non-food items-nfi, nutrition, protection, shelter, water sanitation and hygiene-wash
Organization: REACH Initiative
Sahel Nightlights

Information on nightlights in Senegal and Mauritania. This measurement of visible and near-infrared nighttime lights generated by human activity has been used to create the nighttime light indices, and it is categorized by country, departments, and municipalities.

This information belongs to the Food and Nutrition Security Monitoring and Prediction System in the Sahel (PREDISAN) Project, funded by the Agencia Andaluza de Cooperación Internacional para el Desarrollo (AACID) and the University of Granada (UGR). The PREDISAN AI-SAHEL Project focuses on the Monitoring and Prediction System for Humanitarian Vulnerability of Pastoral and Agro-pastoral Populations in the Western Sahel, based on GIS Analysis and Artificial Intelligence.

For more information, contact GIS4Tech at info@gis4tech.com or visit the PREDISAN platform at https://predisan.gis4tech.com/sahel

Tags: climate-weather, environment, governance and civil society
Organization: Acción contra el hambre - GIS4tech
Sahel Biomass by ACH-GIS4Tech

Information on biomass in Senegal and Mauritania contains the Gross Primary Productivity index (GPP), which indicates the kilograms of carbon dioxide stored by plants in one square meter, and it is categorized by country, departments, and municipalities.

This information belongs to the Food and Nutrition Security Monitoring and Prediction System in the Sahel (PREDISAN) Project, funded by the Agencia Andaluza de Cooperación Internacional para el Desarrollo (AACID) and the University of Granada (UGR). The PREDISAN AI-SAHEL Project focuses on the Monitoring and Prediction System for Humanitarian Vulnerability of Pastoral and Agro-pastoral Populations in the Western Sahel, based on GIS Analysis and Artificial Intelligence.

For more information, contact GIS4Tech at info@gis4tech.com or visit the PREDISAN platform at https://predisan.gis4tech.com/sahel

Tags: climate-weather, environment, governance and civil society
Organization: Acción contra el hambre - GIS4tech
Winter Needs in Northwest Syria Camps

The Information Management Unit (IMU) of Assistance Coordination Unit (ACU) produced the Ninth Edition of the “Winter Needs in Northwest Syria Camps” report. It sheds light on the reality of displacement camps in Northwest Syria, the numbers of IDPs and their age groups, the nature of IDPs’ shelters, their most urgent needs for the coming winter, and the top priorities of the needs. The report also highlights shows the availability of civil defense centers at the camps. The report presents recommendations for humanitarian actors to respond to the most urgent and life-saving response to be provided based on the findings of the study.

Tags: affected population, camp coordination and camp management-cccm, internally displaced persons-idp, non-food items-nfi, population, shelter
Organization: Assistance Coordination Unit
Indonesia Subnational Population and Housing Data Tables

The geodatabase contains boundaries for the national, first-, and second-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided.

The tabular data contain total population for 2020 (census), as well as five-year age group and sex, and information relating to households, language, mortality, disability, and migration.

Organization: U.S. Census Bureau
Refugee and Migrant Needs Analysis (RMNA) - People in Need 2024

The Regional Inter-Agency Coordination Platform for Refugees and Migrants from Venezuela (R4V) issued the Refugee and Migrant Needs Analysis (RMNA) for 2024 to provide insights into the situation and varied challenges that refugees and migrants – both in-destination and in-transit – as well as their affected host communities face. The RMNA draws upon a broad range of sources, with special emphasis on the inter-agency joint needs assessments (JNA) conducted by R4V partners in various countries.

Tags: education, food security, gender-based violence-gbv, health, humanitarian needs overview-hno, indicators, livelihoods, needs assessment, protection, shelter, survey, water sanitation and hygiene-wash
Organization: Inter-Agency Coordination Platform for Refugees and Migrants from Venezuela
Regional Report on Food Security and Nutrition in West Africa and the Sahel 2024

The Regional Report on Food Security and Nutrition in West Africa and the Sahel 2024 (RRSAN) provides timely and reliable data needed to address the region's increasing food security and nutrition challenges. It presents data and analyses from the latest March 2024 Cadre Harmonisé (CH) cycle and includes expanded technical analyses by the Permanent Interstate Committee for Drought Control in the Sahel (CILSS) and its partners on the 2023-2024 agricultural campaign.

Tags: food security, malnutrition, nutrition, sahel, west africa
Organization: Food Security Information Network