AndreaBozzo/ceres-open-data-index huggingface dataset:
Census disaggregated gridded population estimates for Niger (2021), version 1.0.

These data were produced by the [WorldPop](https://www.worldpop.org/) Research Group at the University of Southampton. This work was part of the [GRID3 ](https://grid3.org/) project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Foreign, Commonwealth & Development Office (INV 009579, formerly OPP 1182425). Project partners included the United Nations Population Fund, Center for International Earth Science Information Network in the Columbia Climate School at Columbia University, and the Flowminder Foundation. Thomas Abbott (WorldPop) led the input processing and the modelling work following the Random Forest (RF)-based dasymetric mapping approach developed by Stevens et al. (2015). Heather Chamberlain, Sarchil Qader, and Attila N Lazar advised on the modelling procedure. The Institut National de la Statistique du Niger (INS) released the census-based total population projection using the results of the 2012 census of population and digital Commune boundaries. Engagement with INS was lead by Mathias Kuepie ([UNFPA](https://www.unfpa.org/)). The work was verseen by Attila N. Lazar and Andy J Tatem. 

For further details, please, read  [NER_population_v1_0_README.pdf ](https://wopr.worldpop.org/download/513) 

Tags: baseline population, demographics, geodata
Organization: GRID3
Bottom-up gridded population estimates for Nigeria, version 1.2

This data release includes gridded population estimates (~100 m grid cells) with national coverage for Nigeria, along with estimates of the number of people belonging to individual age-sex groups. These population estimates represent the time period 2016 to 2017 corresponding to when the household surveys were conducted. Populations were mapped into areas where residential settlements were detected based on satellite imagery mostly from 2014.

The data were produced by the [WorldPop](https://www.worldpop.org/) Research Group at the University of Southampton. This work was part of the [GRID3 ](https://grid3.org/) project with funding from the Bill and Melinda Gates Foundation and the United Kingdom's Department for International Development (OPP1182408). Project partners included the United Nations Population Fund, Center for International Earth Science Information Network ([CIESIN](http://www.ciesin.org/)) in the Earth Institute at Columbia University, and the [Flowminder](https://www.flowminder.org/) Foundation. Statistical modellingwas led by Doug Leasure and Chris Jochem with oversight from Andy Tatem. In-country implementation was led by Tracy Adole. Oak Ridge National Laboratories (ORNL), eHealth Africa, and the Bill and Melinda Gates Foundation collected microcensus data and produced the settlement map used as inputs for this work. The whole WorldPop group and GRID3 partners are acknowledged for overall project support.

__RELEASE CONTENT__

1.   NGA_population_v1_2_gridded.zip
2.   NGA_population_v1_2_admin.zip
3.   NGA_population_v1_2_sql.sql
4.   NGA_population_v1_2_mastergrid.tif
5.   NGA_population_v1_2_tiles.zip
6.   NGA_population_v1_2_agesex.zip
7.   NGA_population_v1_2_methods.zip

__LICENSE__
These data (1-6) may be redistributed using a [Creative Commons Attribution Share-Alike 4.0](https://creativecommons.org/licenses/by-sa/4.0/) License. The methods documentation (7) may be redistributed using a [Creative Commons Attribution 4.0](https://creativecommons.org/licenses/by/4.0/) License.


__Recommended citations__

_WorldPop. 2019. Bottom-up gridded population estimates for Nigeria, version 1.2. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00655_

_WorldPop. 2020. Bottom-up gridded population estimates for individual age-sex groups in Nigeria, version 1.2.1. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00661_

_Leasure DR, Jochem WC, Weber EM, Seaman V, Tatem AJ. 2020. National population mapping from sparse survey data: A hierarchical Bayesian modeling framework to account for uncertainty. Proceedings of the National Academy of Sciences.  doi:10.1073/pnas.1913050117_

For further details, please, read NGA_population_v1_2_README.pdf




Tags: baseline population, demographics, geodata
Organization: GRID3
Uganda: Seeds of Hope Project Data

The Seeds of Hope Project dataset includes data from a collaboration between Fondazione Italia Uganda and Sawa World, aimed at improving food security for families living in Kampala's slums. The dataset provides information on the training sessions these families received, specifically on how to maximize their small home spaces for vegetable gardening, enabling them to grow nutritious food at home.

The data also focuses on three main objectives: (1) improved quantity and quality of daily food access, (2) Agricultural production as a source of income, and (3) Nutrition awareness among families living in these communities

This dataset covers a five-year program being implemented across different slum communities in Kampala District.

Tags: africa, community engagement, development, employment, food security, women
Organization: Sawa World
Jamaica and Haiti - Hurricane Melissa Road Blockages

This is a point dataset of road blockages in Jamaica and Haiti following Hurricane Melissa. The road blockages are marked by a single point, alongside the type of damage e.g. debris, flooding or coastal damage. The data is held in a shapefile format using the WGS 84 EPSG: 4326 projection. 

The [Hurricane Melissa 2025](https://www.zooniverse.org/projects/alicemead/planetary-response-network-hurricane-melissa-2025) project data was collected via crowdsourcing on the Zooniverse platform. 

Tags: cyclones-hurricanes-typhoons, damage assessment, logistics, roads
Organization: Planetary Response Network
Timor-Leste - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Albania - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Geodata of Damage Assessment of Homs, Homs Governorate, Syria

This map illustrates satellite-detected damage and destruction in a portion of the city of Homs, Homs Governorate, Syria. Using satellite imagery acquired 21 April 2014, 26 September 2013, 29 June 2010, and 15 June 2010, UNITAR / UNOSAT identified a total of 10,029 affected structures within the area of this map. Approximately 1,431 of these were destroyed, 4,551 severely damaged, and 4,047 moderately damaged. The city-wide analysis of Homs revealed a total of 13,778 affected structures, of which 3,082 were destroyed, 5,750 severely damaged, and 4,946 moderately damaged. While much of the city was damaged by 26 September 2013, 4,109 structures were newly damaged and 221 structures experienced an increase in damage between that date and 21 April 2014.This analysis was done of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Mexico - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2.  
  
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database [www.geoboundaries.org](https://www.geoboundaries.org) is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.  

Tags: administrative boundaries-divisions, gazetteer, geodata
Organization: geoBoundaries
Geodata of Damage to Agricultural Areas and Greenhouses, Gaza Strip - Occupied Palestinian Territory

This map illustrates satellite-detected changes in agricultural areas of the Gaza Strip resulting from the July ? August 2014 conflict in the area. Using a satellite image collected 14 August 2014 by the Pleiades satellite, and compared with a pre-crisis Pleiades image collected 6 July 2014, UNOSAT performed Normalized Difference Vegetation Index analysis, multitemporal classification, and manual review in order to detect significant changes occurring in agricultural areas between those dates. This methodology assessed damage occurring as a result of razing, heavy vehicle tracking, bombing, shelling, and related conflict dynamics. The analysis includes damage occurring to both active crop fields and fallow lands, as well as in many household gardens. Note that due to the special characteristics of the area analysed, razing might have been overestimated in sandy areas, and some ambiguity often exists between unused lands, pasture lands, agricultural fields, and other land cover types. UNOSAT analysis indicates that ~1,800 hectares of agricultural fields have likely been razed or heavily damaged by these factors in the intervening period. In addition, using imagery acquired on 27 and 28 August 2014 UNOSAT assessed damage to greenhouses and identified a total 657 destroyed, 214 severely damaged and 392 moderately damaged greenhouse structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR/UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Water Point Data Exchange (HTI)

WPdx is a platform to compile crowdsourced data focused on rural water points (wells, springs, tapstands) with contributions from governments, NGOs, and researchers. Shared data is cleaned and harmonized using the [WPdx Data Standard](https://www.waterpointdata.org/share-data)  to create a robust analysis-ready dataset. There are [two primary datasets](https://www.waterpointdata.org/access-data) available from WPdx. The first is WPdx-Basic, which includes all records shared with the platform. The second, WPdx-Plus is a subset of the Basic dataset which focuses on countries where district and/or national data is available and undergoes additional cleaning. WPdx-Plus is used as an input to the [WPdx Decision Support tools](https://www.waterpointdata.org/use-data/) and is the basis for the datasets posted here. The decision support tools provide insights on rural basic water service access and recommendations regarding prioritized water point repair, highlight areas with apparent service gaps, and identify water points which are at high risk of failure. For each country where WPdx data is available, there are two datasets available for download are described below.

- The wpdx_adm_region_analysis file provides an overview of the population served, unserved and uncharted for each available administrative level. The file also includes a data quality analysis based on water point record age.
- The wpdx_water_points file provides water point level details for each point shared with WPdx including all the WPdx data standard parameters plus results from the WPdx Rehab Priority, Service Gap/New Construction and Status Prediction analyses.
- A data dictionary describing each parameter included in each file is available in the Data and Resources section.  
To share data with the WPdx platform, please visit (www.waterpointdata.org/share-data) and/or reach out to [info@waterpointdata.org](mailto:info@waterpointdata.org)




Tags: geodata, hxl, water sanitation and hygiene-wash
Organization: Water Point Data Exchange
Water Point Data Exchange (SWZ)

WPdx is a platform to compile crowdsourced data focused on rural water points (wells, springs, tapstands) with contributions from governments, NGOs, and researchers. Shared data is cleaned and harmonized using the [WPdx Data Standard](https://www.waterpointdata.org/share-data)  to create a robust analysis-ready dataset. There are [two primary datasets](https://www.waterpointdata.org/access-data) available from WPdx. The first is WPdx-Basic, which includes all records shared with the platform. The second, WPdx-Plus is a subset of the Basic dataset which focuses on countries where district and/or national data is available and undergoes additional cleaning. WPdx-Plus is used as an input to the [WPdx Decision Support tools](https://www.waterpointdata.org/use-data/) and is the basis for the datasets posted here. The decision support tools provide insights on rural basic water service access and recommendations regarding prioritized water point repair, highlight areas with apparent service gaps, and identify water points which are at high risk of failure. For each country where WPdx data is available, there are two datasets available for download are described below.

- The wpdx_adm_region_analysis file provides an overview of the population served, unserved and uncharted for each available administrative level. The file also includes a data quality analysis based on water point record age.
- The wpdx_water_points file provides water point level details for each point shared with WPdx including all the WPdx data standard parameters plus results from the WPdx Rehab Priority, Service Gap/New Construction and Status Prediction analyses.
- A data dictionary describing each parameter included in each file is available in the Data and Resources section.  
To share data with the WPdx platform, please visit (www.waterpointdata.org/share-data) and/or reach out to [info@waterpointdata.org](mailto:info@waterpointdata.org)




Tags: geodata, hxl, water sanitation and hygiene-wash
Organization: Water Point Data Exchange
Water Point Data Exchange (CAF)

WPdx is a platform to compile crowdsourced data focused on rural water points (wells, springs, tapstands) with contributions from governments, NGOs, and researchers. Shared data is cleaned and harmonized using the [WPdx Data Standard](https://www.waterpointdata.org/share-data)  to create a robust analysis-ready dataset. There are [two primary datasets](https://www.waterpointdata.org/access-data) available from WPdx. The first is WPdx-Basic, which includes all records shared with the platform. The second, WPdx-Plus is a subset of the Basic dataset which focuses on countries where district and/or national data is available and undergoes additional cleaning. WPdx-Plus is used as an input to the [WPdx Decision Support tools](https://www.waterpointdata.org/use-data/) and is the basis for the datasets posted here. The decision support tools provide insights on rural basic water service access and recommendations regarding prioritized water point repair, highlight areas with apparent service gaps, and identify water points which are at high risk of failure. For each country where WPdx data is available, there are two datasets available for download are described below.

- The wpdx_adm_region_analysis file provides an overview of the population served, unserved and uncharted for each available administrative level. The file also includes a data quality analysis based on water point record age.
- The wpdx_water_points file provides water point level details for each point shared with WPdx including all the WPdx data standard parameters plus results from the WPdx Rehab Priority, Service Gap/New Construction and Status Prediction analyses.
- A data dictionary describing each parameter included in each file is available in the Data and Resources section.  
To share data with the WPdx platform, please visit (www.waterpointdata.org/share-data) and/or reach out to [info@waterpointdata.org](mailto:info@waterpointdata.org)




Tags: geodata, hxl, water sanitation and hygiene-wash
Organization: Water Point Data Exchange
Water Point Data Exchange (UGA)

WPdx is a platform to compile crowdsourced data focused on rural water points (wells, springs, tapstands) with contributions from governments, NGOs, and researchers. Shared data is cleaned and harmonized using the [WPdx Data Standard](https://www.waterpointdata.org/share-data)  to create a robust analysis-ready dataset. There are [two primary datasets](https://www.waterpointdata.org/access-data) available from WPdx. The first is WPdx-Basic, which includes all records shared with the platform. The second, WPdx-Plus is a subset of the Basic dataset which focuses on countries where district and/or national data is available and undergoes additional cleaning. WPdx-Plus is used as an input to the [WPdx Decision Support tools](https://www.waterpointdata.org/use-data/) and is the basis for the datasets posted here. The decision support tools provide insights on rural basic water service access and recommendations regarding prioritized water point repair, highlight areas with apparent service gaps, and identify water points which are at high risk of failure. For each country where WPdx data is available, there are two datasets available for download are described below.

- The wpdx_adm_region_analysis file provides an overview of the population served, unserved and uncharted for each available administrative level. The file also includes a data quality analysis based on water point record age.
- The wpdx_water_points file provides water point level details for each point shared with WPdx including all the WPdx data standard parameters plus results from the WPdx Rehab Priority, Service Gap/New Construction and Status Prediction analyses.
- A data dictionary describing each parameter included in each file is available in the Data and Resources section.  
To share data with the WPdx platform, please visit (www.waterpointdata.org/share-data) and/or reach out to [info@waterpointdata.org](mailto:info@waterpointdata.org)




Tags: geodata, hxl, water sanitation and hygiene-wash
Organization: Water Point Data Exchange
Water Point Data Exchange (NGA)

WPdx is a platform to compile crowdsourced data focused on rural water points (wells, springs, tapstands) with contributions from governments, NGOs, and researchers. Shared data is cleaned and harmonized using the [WPdx Data Standard](https://www.waterpointdata.org/share-data)  to create a robust analysis-ready dataset. There are [two primary datasets](https://www.waterpointdata.org/access-data) available from WPdx. The first is WPdx-Basic, which includes all records shared with the platform. The second, WPdx-Plus is a subset of the Basic dataset which focuses on countries where district and/or national data is available and undergoes additional cleaning. WPdx-Plus is used as an input to the [WPdx Decision Support tools](https://www.waterpointdata.org/use-data/) and is the basis for the datasets posted here. The decision support tools provide insights on rural basic water service access and recommendations regarding prioritized water point repair, highlight areas with apparent service gaps, and identify water points which are at high risk of failure. For each country where WPdx data is available, there are two datasets available for download are described below.

- The wpdx_adm_region_analysis file provides an overview of the population served, unserved and uncharted for each available administrative level. The file also includes a data quality analysis based on water point record age.
- The wpdx_water_points file provides water point level details for each point shared with WPdx including all the WPdx data standard parameters plus results from the WPdx Rehab Priority, Service Gap/New Construction and Status Prediction analyses.
- A data dictionary describing each parameter included in each file is available in the Data and Resources section.  
To share data with the WPdx platform, please visit (www.waterpointdata.org/share-data) and/or reach out to [info@waterpointdata.org](mailto:info@waterpointdata.org)




Tags: geodata, hxl, water sanitation and hygiene-wash
Organization: Water Point Data Exchange
Water Point Data Exchange (BGD)

WPdx is a platform to compile crowdsourced data focused on rural water points (wells, springs, tapstands) with contributions from governments, NGOs, and researchers. Shared data is cleaned and harmonized using the [WPdx Data Standard](https://www.waterpointdata.org/share-data)  to create a robust analysis-ready dataset. There are [two primary datasets](https://www.waterpointdata.org/access-data) available from WPdx. The first is WPdx-Basic, which includes all records shared with the platform. The second, WPdx-Plus is a subset of the Basic dataset which focuses on countries where district and/or national data is available and undergoes additional cleaning. WPdx-Plus is used as an input to the [WPdx Decision Support tools](https://www.waterpointdata.org/use-data/) and is the basis for the datasets posted here. The decision support tools provide insights on rural basic water service access and recommendations regarding prioritized water point repair, highlight areas with apparent service gaps, and identify water points which are at high risk of failure. For each country where WPdx data is available, there are two datasets available for download are described below.

- The wpdx_adm_region_analysis file provides an overview of the population served, unserved and uncharted for each available administrative level. The file also includes a data quality analysis based on water point record age.
- The wpdx_water_points file provides water point level details for each point shared with WPdx including all the WPdx data standard parameters plus results from the WPdx Rehab Priority, Service Gap/New Construction and Status Prediction analyses.
- A data dictionary describing each parameter included in each file is available in the Data and Resources section.  
To share data with the WPdx platform, please visit (www.waterpointdata.org/share-data) and/or reach out to [info@waterpointdata.org](mailto:info@waterpointdata.org)




Tags: geodata, hxl, water sanitation and hygiene-wash
Organization: Water Point Data Exchange