AndreaBozzo/ceres-open-data-index huggingface dataset:
Cameroon: 3W Operational Presence - Cash Programming

Cameroon is currently faced with three simultaneous crises, whose combined effect has severely impacted the most vulnerable communities, threatening their livelihoods and eroding their ability to adapt. According to the latest census issued in October 2016, the number of internally displaced people (IDPs) has increased by more than 115 percent, reaching a total of 199 000 as compared to early 20154. This adds to approximately 259 145 Central Africans and 74,000 Nigerian refugees hosted in Adamaoua, EST, Nord and Far North regions. The food security situation has consequently deteriorated from 19 percent in 2015 to 24 percent in 2016, now affecting nearly 2.5 million people - almost 80 percent of whom reside in the North and Far North regions. Additionally, there are concerns of disease outbreaks, including cholera and measles. These strains on an already vulnerable population have pushed the country into a humanitarian crisis; with some agencies like WFP declaring a Level Three emergency in Cameroon from May to August, and the country remains on alert.
As determined by a recent joint CALP/OCHA mission on 7-11 November 2016, a number of agencies are turning to cash transfers as a modality of delivering aid in hard to reach areas. Cash Based Transfers (CBT) programs have already been implemented in the East and Far North regions in Cameroon by various agencies including: World Food Programme, Catholic Relief Services, International Rescue Committee (IRC), French Red Cross, Premiere Urgence International (PUI), PAJED (MINJEC/GIZ) and Plan International, in the sectors of Food Security and Nutrition, Economic Recovery and Livelihoods and WASH.

Tags: cash voucher assistance-cva, who is doing what and where-3w-4w-5w
Organization: OCHA Cameroon
CERF Funding and Project Details from 2006 to 2017 for Cameroon

CERF allocations are made to ensure a rapid response to sudden-onset emergencies or to rapidly deteriorating conditions in an existing emergency and to support humanitarian response activities within an underfunded emergency.
Please note that the table below summarizes approved CERF allocations made through the Rapid Response window and Underfunded Emergencies window from 2006 to 2017 in Cameroon. The sub-national information have been and they are based on the information collect from projects.

All these allocations could be found on CERF website at http://www.unocha.org/cerf/cerf-worldwide/allocations-country/2017

Tags: funding
Organization: OCHA Cameroon
Cameroon - Far-North - 3W Operational Presence - GBV Assistances

The data is about Who is Doing What Where in the Far North Region of Cameroon in GBV sub-sector. The 3W present all kind of assistance provided by partners on the field and how their cooordination is done.The assistance concern Health, Psychosocial Support, Legal Assistance, Safety and Security and Prevention.

For more information on GBV in Cameroon, see: https://www.humanitarianresponse.info/en/operations/cameroon/gbv


Tags: gender-based violence-gbv
Organization: OCHA Cameroon
Afghanistan - Water Courses

This spatial dataset of major rivers provides the delimitation of major  water courses in Afghanistan. It comprises 24  water course features, which are attributed with a hydrological description and watercourse name (English). 

This dataset was last modified by the OCHA IMU in January 2013. The scales at which the original datasets were created are unknown, but it is likely that they were digitized at a scale of around 1:500,000. The purpose of this dataset is to show major rivers at a provincial scale or higher.

The multiple sources of the data are as follows: South East Asia Rivers, USAID map of ongoing humanitarian assistance to Afghanistan; Foreign and Commonwealth Office Library map series 230 (2005); and an alternative country river line dataset (custodian unknown).


Tags: geodata, hydrology, rivers
Organization: OCHA Afghanistan
Afghanistan - Natural disaster incidents in 2016

1) Natural disaster events include avalanches,earthquake, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 
2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 
3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM. 
4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.

Tags: affected population, climate hazards, damage assessment, earthquake-tsunami, fatalities, hxl, natural disasters
Organization: OCHA Afghanistan
Afghanistan - Who does What Where  (July to September 2016)

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://www.humanitarianresponse.info/en/operations/afghanistan/3w). 

Tags: operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Afghanistan - Who does What Where (July to September 2017)

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://www.humanitarianresponse.info/en/operations/afghanistan/3w). 

Tags: hxl, operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Afghanistan - Conflict Induced Displacements in 2018

Newly displaced population due to conflict between 01 January 2018 and 31 December  2018, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 28 January 2019 and the numbers are expected to change as new assessment figures become available.

Tags: conflict-violence, hxl, internally displaced persons-idp
Organization: OCHA Afghanistan
Afghanistan - Who does What Where (July to September 2018)

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://www.humanitarianresponse.info/en/operations/afghanistan/3w). 

Tags: hxl, operational capacity, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Afghanistan - Who does What Where (April to June 2018)

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://www.humanitarianresponse.info/en/operations/afghanistan/3w). 

Tags: hxl, operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Afghanistan - Who does What Where (January to March 2018)

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://www.humanitarianresponse.info/en/operations/afghanistan/3w). 

Tags: hxl, operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Afghanistan - Who does What Where (October to December 2017)

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://www.humanitarianresponse.info/en/operations/afghanistan/3w). 

Tags: hxl, operational capacity, operational presence, who is doing what and where-3w-4w-5w
Organization: OCHA Afghanistan
Afghanistan - Conflict Induced Displacements in 2017

Newly displaced population due to conflict between 01 January 2017 and 31 December 2017, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 02 February 2018 and the numbers are expected to change as new assessment figures become available.

Tags: conflict-violence, hxl, internally displaced persons-idp
Organization: OCHA Afghanistan
Afghanistan - Conflict Induced Displacements in 2016

Newly displaced population due to conflict between 01 Jan 2016 and 31 Dec 2016, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 04 June 2017 and the numbers are expected to change as new assessment figures become available.	

Tags: conflict-violence, hxl, internally displaced persons-idp
Organization: OCHA Afghanistan
South Sudan - Humanitarian Feedback 2016

This is the list of feedback received by the Internews Humanitarian Information System In the Protection of Civilians Camps in South Sudan, and namely in: Juba POC 1 and 3; Malakal PoC; Bentiu PoC; Bot PoC. The data was collected from September 2015 to September 2016. 

Tags: community engagement, hazards and risk
Organization: Internews (inactive)
Greece - Rumors and Feedback on Migrants - 2015/2017

This is a document that aggregates all of the feedback and rumors collected by the Refugee Liaison Officers of the News that Moves project in Greece.  The feedback are collected face to face by the RLOs on a daily basis on the Islands but also on the mainland. The data was collected from December 2015 to February 2017. 

Tags: community engagement, demographics, refugees
Organization: Internews (inactive)
Indonesia Displacement Data - Lombok Earthquake Site Assessment [IOM DTM]

A 6.4 magnitude earthquake has struck off Lombok, province of West Nusa Tenggara, Indonesia which affected the three districts of North Lombok, East Lombok and West Lombok. The dataset contains age-and-sex disaggregated displaced people at sub national level. The dataset, also, has place of origin, needs of the displaced people and camp locations and status.

Tags: displacement, earthquake-tsunami, hxl, internally displaced persons-idp, migration
Organization: International Organization for Migration (IOM)
Contour Lines for Kutupalong Magacamp area and other sites.

Zipped shapefile containing 1m contour lines for Kutupalong mega camp area including Thangkhali, Hakimpara, Jamtoli and Bagghona/Potibonia.   These are created by NPM team of IOM using a UAV of December 2017.  

Tags: geodata, refugee crisis, topography
Organization: Inter Sector Coordination Group
Bangladesh: Satellite Image of Kutupalong Makeshift Settlements and Expansion sites/Zones (KMZ)

The Satellite image (Pléiades ©CNES 2017, Distribution Airbus DS) as of 26 October 2017 converted to .kmz for using through Google Earth on a computer, Earth for Android for easy viewing in the field, OSMNavigator for offline, Google Maps-style real-time GPS position overlay on top of the image, Garmin handheld GPS units etc.

Tags: geodata, refugee crisis
Organization: Inter Sector Coordination Group
Bangladesh: Site Infrastructure of Four Existing Makeshift Settlements (KMS, BMS, LMS, Shamlapur) July 2017 pre-influx

The data consists of points of site infrastructures of four existing makeshift settlements (KMS, BMS, LMS, Shamlapur) as of July 2017 with information on sectors, type of infrastructures and agencies.

Tags: facilities-infrastructure, geodata, refugee crisis
Organization: Inter Sector Coordination Group
North East Nigeria Child Protection Partner Operational Presence, April, May and June 2018

Child Protection sub-sector partner operational presence to Local Government Area (Admin2) level in north east Nigeria for the months of April, May and June 2018. The datasets cover partner operational presence by Local Government Area or LGA (Admin2) level in all three crisis-affected states of Borno, Yobe and Adamawa. Also provides a count of the organizations responding under the Child Protection sub-sector to Ward (Admin3) level in north east Nigeria for the months of April, May and June 2018. The datasets each provide a count of organizations by ward (Admin 3) level in all three crisis-affected states of Borno, Yobe and Adamawa.

Tags: operational presence, protection
Organization: iMMAP Inc.
Nigeria: North East Nigeria Progress Monitoring on Nutrition Indicators as of July 2018

This data-set contains progress monitoring data on key Nutrition Sector indicators, focusing on the three north eastern Nigeria states of Borno, Yobe and Adamawa affected by the crisis, as of July 2018. The data is presented at Local Government Area (LGA) level or Admin 2. The resources include the following:

Combined data on all of the Nutrition Indicators; Blanket Supplementary Feeding Programme for Children under 5 years; Blanket Supplementary Feeding Programme (BSFP) for Pregnant and Lactating Women (PLW); Infant and Young Child Feeding (IYCF); Micro-nutrient Powders (MNP); Outpatient Therapeutic Programme (OTP) Admissions; North East Nigeria Nutrition Partner Operational Presence as of July 2018; Stabilization Center (SC) Admissions as of July 2018.

Tags: children, nutrition, severe acute malnutrition-sam
Organization: iMMAP Inc.
North East Nigeria - Adamawa Health Resources Availability Mapping System -HeRAMS 5W E-Atlas as of June 2018

Health Resources Availability Mapping System (HeRAMS) E-Atlas, with a focus on the mapping of who's doing what where, when and for whom, in Adamawa State of north east Nigeria as of June 2018.

Tags: conflict-violence, geodata, health, who is doing what and where-3w-4w-5w
Organization: iMMAP Inc.
North East Nigeria Health Sector Operational Presence by LGA as of June 2018

Both the shapefile and CSV feature North East Nigeria Health Sector Humanitarian Partner Operational Presence by Local Government Area in Borno, Yobe and Adamawa, the three crisis-affected states - as of June 2018.

Tags: geodata, health, operational presence, who is doing what and where-3w-4w-5w
Organization: iMMAP Inc.
North East Nigeria Shelter and NFI Needs Severity Mapping by LGA as of June 2018

Dataset covers Shelter and Non-food Items needs severity mapping by Local Government Area (LGA) as of June 2018. Dataset covers Borno, Yobe and Adamawa, the three crisis-affected states;  Shelter needs severity mapping by Local Government Area (LGA) as of June 2018. Dataset covers Borno, Yobe and Adamawa, the three crisis-affected states; Non-food Items needs severity mapping by Local Government Area (LGA) as of June 2018. The zipped shapefile covers Borno, Yobe and Adamawa, the three crisis-affected states; and a CSV dataset containing Shelter and Non-food Items (NFI) needs severity mapping combined, by Local Government Area (LGA) as of June 2018, covering the three crisis-affected states of Borno, Yobe and Adamawa.

Tags: geodata, needs assessment, severity, shelter
Organization: iMMAP Inc.
North East Nigeria CCCM, ESNFI Activity Coverage and Operational Presence, June 2018

North East Nigeria Camp Management partner operational presence by Local Government Area or LGA (Admin 2). Dataset covers partner operational presence in the three crisis-affected states of Borno, Yobe and Adamawa, up to LGA level;  Camp Coordination and Camp Management (CCCM) coverage by Local Government Area or LGA (Admin 2). Includes number of households covered and not covered; total households and individuals covered, percentage and overall coverage in the three crisis-affected states of Borno, Yobe and Adamawa, up to LGA level;  Camp Coordination and Camp Management (CCCM) and Emergency Shelter and Non-Food Items (ESNFI) activity coverage up to Local Government Area or LGA (Admin 2) level in the three crisis-affected states of Borno, Yobe and Adamawa. Also includes Camp Management partner operational presence by LGA, as of June 2018.

Tags: camp coordination and camp management-cccm, geodata, non-food items-nfi, populated places-settlements, shelter
Organization: iMMAP Inc.
North East Nigeria Progress Monitoring on Nutrition Indicators - July 2018

This dataset contains a zipped shapefile and eight (8) individual CSV files each detailing progress monitoring on key Nutrition Sector indicators, focusing on the three north eastern Nigeria states of Borno, Yobe and Adamawa affected by the crisis, as of July 2018. The data is presented at Local Government Area (LGA) level or Admin 2. The resources include the following:

Combined data on all of the Nutrition Indicators; Blanket Supplementary Feeding Programme for Children under 5 years; Blanket Supplementary Feeding Programme (BSFP) for Pregnant and Lactating Women (PLW); Infant and Young Child Feeding (IYCF); Micro-nutrient Powders (MNP); Outpatient Therapeutic Programme (OTP) Admissions; North East Nigeria Nutrition Partner Operational Presence as of July 2018; Stablization Center (SC) Admissions as of July 2018.

Tags: children, geodata, health, malnutrition, nutrition
Organization: iMMAP Inc.
CDC Historical Zika in the USA (2015-2018)

In 2016, Zika virus disease became a nationally notifiable condition. Cases are reported to CDC by state, territorial, and local health departments using standard case definitions. These are final 2015 - 2016 data reported to ArboNET and the CDC for Zika virus disease. As well as the Provisional Data* as of July 3, 2018 for cases in 2017 - 2018.

Tags: disease, geodata
Organization: Esri
Winter needs in Northern Syria Camps 2018

The IMU of the ACU, issues its fourth edition of the “Winter Needs in the Northern Syrian Camps” report, addressing 234 camps in the governorates of Aleppo and Idleb. The report brings to light the most important items that IDPs are in need for in terms of type and quantities, according to international standards for humanitarian response. It furthermore, brings emphasis to bear on the course of action that IDPs, as well as the camp management teams, should follow to drive down the effects of natural disasters that may put their lives at risk. Noting that the number of families that ACU enumerators were able to assess their needs reached 46,145 families, making up an overall individual number of 252,052 IDPs

Tags: complex emergency-conflict-security, internally displaced persons-idp, non-food items-nfi, populated places-settlements, shelter
Organization: Assistance Coordination Unit
Répartition des établissements  scolaires au Sénégal en 2016

Ce jeu de données concerne  le nombre d'établissements élémentaire, maternel, moyen et secondaire du Sénégal désagrégé jusqu'au niveau commune rural et commune d'arrondissement. 

Tags: education, education facilities-schools
Organization: Agence Nationale de la Statistique et de la Démographie du Sénégal
AfDB Socio Economic Database, 1960-2019

The AFDB Statistical Data Portal has been developed in response to the increasing demand for statistical data and indicators relating to African Countries. The Portal provides multiple customized tools to gather indicators, analyze them, and export them into multiple formats.

With the Data Portal, you can visualize Socio-Economic indicators over a period of time, gain access to presentation-ready graphics and perform comprehensive analysis on a Country and Regional level

Tags: africa, agriculture-livestock, demographics, economics, energy, environment, facilities-infrastructure, governance and civil society, gross domestic product-gdp, trade, transportation
Organization: African Development Bank Group (inactive)
Swaziland - 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: cash voucher assistance-cva, funding, hxl
Organization: OCHA Financial Tracking System (FTS)
PiN intersectorial - Colombia 2023

La metodología para el cálculo de personas en necesidad -PiN- intersectorial para el Humanitarian Needs Overview -HNO- 2023 en Colombia, se desarrolló siguiendo la metodología global JIAF (Joint Intersectoral Analysis Framework, por sus siglas en inglés) en el que se analizan los eventos o shocks que afectan las condiciones humanitarias en la población a partir de tres pilares: i Estándares de vida, ii Mecanismos para afrontar el shock y iii Bienestar Físico y Mental.

De manera general podrán encontrar todos los documentos utilizados para la construcción del PiN y sus desagregaciones.

Tags: humanitarian needs overview-hno, people in need-pin
Organization: iMMAP Inc.
Myanmar: 2021 HNO and HRP data by Humanitarian Consequence by Township

Myanmar: 2021 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 disaggregated until Adm 3 level.

Tags: disability, humanitarian needs overview-hno, humanitarian response plan-hrp, hxl, internally displaced persons-idp, people in need-pin, returnees
Organization: OCHA Myanmar
USAR sites visited as of 28 April 2015

These sites are those reported as visited or pending/onoing ('to visit' in the status column) as of end 28 April 2015.
The 'visited' coordinates come from the international Urban Search and Rescue (USAR) team reports as provided to the Virtual OSOCC and to the USAR coordination centre and are from GPS.
The 'to visit' sites come from the government of Nepal as a list of names to which we have attempted to assign coordinates.
The site names are often ambiguous so these coordinates are approximate.
The list of visited sites is incomplete because there are international USAR teams that have not reported their visited sites.
Also, this list DOES NOT INCLUDE NEPALI USAR TEAM SITES VISITED.
This list was compiled by MapAction (www.mapaction.org)


Tags: earthquake-tsunami, geodata, urban search and rescue-usar
Organization: MapAction