AndreaBozzo/ceres-open-data-index huggingface dataset:
Andorra - Internal Displacements (New Displacements) – IDPs

The [Global Internal Displacement Database (GIDD)](http://www.internal-displacement.org/database/displacement-data), maintained by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), provides comprehensive, validated annual estimates of internal displacement worldwide. It defines internally displaced persons (IDPs) in line with the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/), as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.


The GIDD tracks two primary metrics: "People Displaced" or population "Stock" figures, which represent the total number of people living in displacement at year-end, and "New Displacement," which counts new displacement incidents (population Flows) rather than individual people, accounting for potential multiple displacements by the same person. This dataset serves as a crucial resource for understanding long-term trends and validated displacement figures globally. For further detailed information and complete API specifications, users are encouraged to consult the official documentation at https://www.internal-displacement.org/database/api-documentation/.


"Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year.


"Internal displacements (New Displacements)" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once.


Tags: displacement, internally displaced persons-idp, natural disasters
Organization: Internal Displacement Monitoring Centre (IDMC)
Albania - Internal Displacements (New Displacements) – IDPs

The [Global Internal Displacement Database (GIDD)](http://www.internal-displacement.org/database/displacement-data), maintained by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), provides comprehensive, validated annual estimates of internal displacement worldwide. It defines internally displaced persons (IDPs) in line with the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/), as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.


The GIDD tracks two primary metrics: "People Displaced" or population "Stock" figures, which represent the total number of people living in displacement at year-end, and "New Displacement," which counts new displacement incidents (population Flows) rather than individual people, accounting for potential multiple displacements by the same person. This dataset serves as a crucial resource for understanding long-term trends and validated displacement figures globally. For further detailed information and complete API specifications, users are encouraged to consult the official documentation at https://www.internal-displacement.org/database/api-documentation/.


"Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year.


"Internal displacements (New Displacements)" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once.


Tags: displacement, internally displaced persons-idp, natural disasters
Organization: Internal Displacement Monitoring Centre (IDMC)
Anguilla - Internal Displacements (New Displacements) – IDPs

The [Global Internal Displacement Database (GIDD)](http://www.internal-displacement.org/database/displacement-data), maintained by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), provides comprehensive, validated annual estimates of internal displacement worldwide. It defines internally displaced persons (IDPs) in line with the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/), as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.


The GIDD tracks two primary metrics: "People Displaced" or population "Stock" figures, which represent the total number of people living in displacement at year-end, and "New Displacement," which counts new displacement incidents (population Flows) rather than individual people, accounting for potential multiple displacements by the same person. This dataset serves as a crucial resource for understanding long-term trends and validated displacement figures globally. For further detailed information and complete API specifications, users are encouraged to consult the official documentation at https://www.internal-displacement.org/database/api-documentation/.


"Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year.


"Internal displacements (New Displacements)" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once.


Tags: displacement, internally displaced persons-idp, natural disasters
Organization: Internal Displacement Monitoring Centre (IDMC)
Angola - Internal Displacements (New Displacements) – IDPs

The [Global Internal Displacement Database (GIDD)](http://www.internal-displacement.org/database/displacement-data), maintained by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), provides comprehensive, validated annual estimates of internal displacement worldwide. It defines internally displaced persons (IDPs) in line with the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/), as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.


The GIDD tracks two primary metrics: "People Displaced" or population "Stock" figures, which represent the total number of people living in displacement at year-end, and "New Displacement," which counts new displacement incidents (population Flows) rather than individual people, accounting for potential multiple displacements by the same person. This dataset serves as a crucial resource for understanding long-term trends and validated displacement figures globally. For further detailed information and complete API specifications, users are encouraged to consult the official documentation at https://www.internal-displacement.org/database/api-documentation/.


"Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year.


"Internal displacements (New Displacements)" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once.


Tags: conflict-violence, displacement, internally displaced persons-idp, natural disasters
Organization: Internal Displacement Monitoring Centre (IDMC)
Afghanistan - Internal Displacements (New Displacements) – IDPs

The [Global Internal Displacement Database (GIDD)](http://www.internal-displacement.org/database/displacement-data), maintained by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), provides comprehensive, validated annual estimates of internal displacement worldwide. It defines internally displaced persons (IDPs) in line with the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/), as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.


The GIDD tracks two primary metrics: "People Displaced" or population "Stock" figures, which represent the total number of people living in displacement at year-end, and "New Displacement," which counts new displacement incidents (population Flows) rather than individual people, accounting for potential multiple displacements by the same person. This dataset serves as a crucial resource for understanding long-term trends and validated displacement figures globally. For further detailed information and complete API specifications, users are encouraged to consult the official documentation at https://www.internal-displacement.org/database/api-documentation/.


"Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year.


"Internal displacements (New Displacements)" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once.


Tags: conflict-violence, displacement, internally displaced persons-idp, natural disasters
Organization: Internal Displacement Monitoring Centre (IDMC)
Internal displacements (new displacements) associated with disasters

The [Global Internal Displacement Database (GIDD)](http://www.internal-displacement.org/database/displacement-data), maintained by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), provides comprehensive, validated annual estimates of internal displacement worldwide. It defines internally displaced persons (IDPs) in line with the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/), as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.


The GIDD tracks two primary metrics: "People Displaced" or population "Stock" figures, which represent the total number of people living in displacement at year-end, and "New Displacement," which counts new displacement incidents (population Flows) rather than individual people, accounting for potential multiple displacements by the same person. This dataset serves as a crucial resource for understanding long-term trends and validated displacement figures globally. For further detailed information and complete API specifications, users are encouraged to consult the official documentation at https://www.internal-displacement.org/database/api-documentation/.


"Internal displacements (New Displacements)" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once.


Tags: displacement, internally displaced persons-idp, natural disasters
Organization: Internal Displacement Monitoring Centre (IDMC)
Internal Displacements (New Displacements) – IDPs

The [Global Internal Displacement Database (GIDD)](http://www.internal-displacement.org/database/displacement-data), maintained by the [Internal Displacement Monitoring Centre (IDMC)](https://www.internal-displacement.org/), provides comprehensive, validated annual estimates of internal displacement worldwide. It defines internally displaced persons (IDPs) in line with the [1998 Guiding Principles](https://www.internal-displacement.org/internal-displacement/guiding-principles-on-internal-displacement/), as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.


The GIDD tracks two primary metrics: "People Displaced" or population "Stock" figures, which represent the total number of people living in displacement at year-end, and "New Displacement," which counts new displacement incidents (population Flows) rather than individual people, accounting for potential multiple displacements by the same person. This dataset serves as a crucial resource for understanding long-term trends and validated displacement figures globally. For further detailed information and complete API specifications, users are encouraged to consult the official documentation at https://www.internal-displacement.org/database/api-documentation/.


"Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year.


Tags: conflict-violence, displacement, internally displaced persons-idp
Organization: Internal Displacement Monitoring Centre (IDMC)
Democratic Republic of the Congo - Food Prices

This dataset contains Food Prices data for Democratic Republic of the Congo, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

Tags: crisis-ebola-bundibugyo-virus-disease, economics, food security, indicators, markets
Organization: WFP - World Food Programme
Uganda - Food Prices

This dataset contains Food Prices data for Uganda, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

Tags: crisis-ebola-bundibugyo-virus-disease, economics, food security, indicators, markets
Organization: WFP - World Food Programme
Geodata of Damage Assessment of Baiji, Salah ad Din Governorate, Iraq

This map illustrates satellite-detected damage and destruction in a portion of the city of Baiji, Salah ad Din governorate, Iraq. Using satellite imagery acquired 28 December 2014 and 06 April 2014, UNITAR / UNOSAT identified a total of 174 affected structures within the area of this map. Approximately 72 of these were destroyed, 57 severely damaged, and 45 moderately damaged. The city-wide analysis of Baiji revealed a total of 206 affected structures, of which 81 were destroyed, 68 severely damaged, and 57 moderately damaged. 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)
Geodata of Damaged Structures in Dolores City, East Samar, Philippines

This map illustrates satellite-detected damaged structures in Dolores City, East Samar Province, Philippines. Using an image acquired by the WorldView-2 satellite on 12 December 2014 and compared with an image collected on 19 June 2014, UNOSAT identified 597 affected structures in the area. Specifically, 193 structures were categorized as destroyed, 225 as severely damaged and 179 as moderately damaged. Note that due to significant cloud cover present on the post-event image, the north and northwestern parts of the city could not be analysed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
El Niño-Southern Oscillation (ENSO): El Niño and La Niña Events

ENSO stands for El Niño/ Southern Oscillation. The ENSO cycle refers to the coherent and sometimes very strong year-to-year variations in sea- surface temperatures, convective rainfall, surface air pressure, and atmospheric circulation that occur across the equatorial Pacific Ocean. El Niño and La Niña represent opposite extremes in the ENSO cycle.  
 El Niño refers to the above-average sea-surface temperatures that periodically develop across the east-central equatorial Pacific. It represents the warm phase of the ENSO cycle, and is sometimes referred to as a Pacific warm episode.  
 La Niña refers to the periodic cooling of sea-surface temperatures across the east-central equatorial Pacific. It represents the cold phase of the ENSO cycle, and is sometimes referred to as a Pacific cold episode.  
 
 [View the raw data](https://www.cpc.ncep.enso.gov/products/analysis_monitoring/ensostuff/detrend.nino34.ascii.txt)  
 [View the processed data](https://www.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ONI_v5.php)  
 
 Dataset field definitions:  
 date: Year-month-date (first day of month)  
 TOTAL: ERSST.v5 (sea surface temperature) in the Niño 3.4 region  
 ClimAdjust: adjustment for changing 30-year base period  
 ANOM: Oceanic Niño Index (ONI)  
 ANOM_trimester: 3-month rolling mean of ANOM (MO corresponds to first month of trimester)  
 ANOM_trimester_round: ANOM_trimester rounded to one decimal place  
 phase_trimester: phase of trimester based on ANOM_trimester_round  
 phase_event: elnino or lanina event (requiring at least 5 consecutive trimesters of the phase)

Tags: climate hazards, climate-weather, el nino-el nina
Organization: HDX
Congo Democratic Republic - OSM Data quality

This dataset provides insights into the data quality of [OpenStreetMap](https://www.openstreetmap.org/) (OSM) data in Congo Democratic Republic. It has been created using the OSM data quality analysis of [ohsome](https://dashboard.ohsome.org/).

 Different indicators are used to asses the data quality depending on the selected topic, for further information regarding the calculation of the quality indicators see the [Github](https://github.com/GIScience/ohsome-quality-api) repository. The OSM data quality analysis is available for different topics either as a CSV or as a Geopackage file. The quality analysis is available in three units: admin level 0, admin level 1 and hexagons. Each zip file contains all three units for the selected topic. The unit of analysis is defined by [geoboundaries](https://www.geoboundaries.org/) country borders.

Attributes of the CSV/ Geopackage file:

- **[unit]_id**: Unit of quality analysis.

- **ADM0_name**: Name of the country.

- **ADM0_iso**: ISO3 country code.

- **result_value_[indicator]**: Calculated result of OSM data quality for the respective indicator. Ranges between 0 and 1.

 Different indicators are available for each topic. Check out the [Topic Catalog](https://dashboard.ohsome.org/en/) to see which indicators are relevant for which topic.

This dataset is one of many [HeiGIT exports on HDX](https://data.humdata.org/organization/heidelberg-institute-for-geoinformation-technology). See the [HeiGIT](https://heigit.org/) website for more information.

We are looking forward to hearing about your use-case! Feel free to reach out to us and tell us about your research at [communications@heigit.org](mailto:communications@heigit.org) – we would be happy to amplify your work.



Tags: crisis-ebola-bundibugyo-virus-disease, indicators, openstreetmap
Organization: HeiGIT (Heidelberg Institute for Geoinformation Technology)
Uganda - OSM Data quality

This dataset provides insights into the data quality of [OpenStreetMap](https://www.openstreetmap.org/) (OSM) data in Uganda. It has been created using the OSM data quality analysis of [ohsome](https://dashboard.ohsome.org/).

 Different indicators are used to asses the data quality depending on the selected topic, for further information regarding the calculation of the quality indicators see the [Github](https://github.com/GIScience/ohsome-quality-api) repository. The OSM data quality analysis is available for different topics either as a CSV or as a Geopackage file. The quality analysis is available in three units: admin level 0, admin level 1 and hexagons. Each zip file contains all three units for the selected topic. The unit of analysis is defined by [geoboundaries](https://www.geoboundaries.org/) country borders.

Attributes of the CSV/ Geopackage file:

- **[unit]_id**: Unit of quality analysis.

- **ADM0_name**: Name of the country.

- **ADM0_iso**: ISO3 country code.

- **result_value_[indicator]**: Calculated result of OSM data quality for the respective indicator. Ranges between 0 and 1.

 Different indicators are available for each topic. Check out the [Topic Catalog](https://dashboard.ohsome.org/en/) to see which indicators are relevant for which topic.

This dataset is one of many [HeiGIT exports on HDX](https://data.humdata.org/organization/heidelberg-institute-for-geoinformation-technology). See the [HeiGIT](https://heigit.org/) website for more information.

We are looking forward to hearing about your use-case! Feel free to reach out to us and tell us about your research at [communications@heigit.org](mailto:communications@heigit.org) – we would be happy to amplify your work.



Tags: crisis-ebola-bundibugyo-virus-disease, indicators, openstreetmap
Organization: HeiGIT (Heidelberg Institute for Geoinformation Technology)
Floodwater depth in Bula and Minalabac Municipalities, Camarines Sur Provinces of Philippines as of 1 November 2020

**UNOSAT code: TC20201101PHL**  This map illustrates floodwater depth in Floodwater depth in Bula and Minalabac municipalities, Camarines Sur Provinces, Bicol Region (Region V) of Philippines based on surface waters observed from a Sentinel-1 image acquired on 1st of November 2020 and a digital  elevation model data with the floodwater depth estimation tool (FwDET).
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)