AndreaBozzo/ceres-open-data-index huggingface dataset:
Solomon Islands: Level 1 Exposure Data

This data was developed as part of the Modelling Exposure Through Earth
Observation Routines (METEOR) project and is a Level 1, or a global-quality
exposure data set. Minimal country-specific data was collected. The data is
intended for CAT modeling and loss estimation. Repurposing this data for any
reason other than assessing risk is not recommended. The data presents the
estimated number of buildings, building area, and rebuilding value at a
15-arcsecond grid resolution (approximately 500 meters at the equator). This
data set is in point shapefile format where the points represent the centroids
of the 15-arcsecond grid. The results were created through a process of
spreading the number of buildings to the 15-arcsecond level by a statistical
assessment of moderate resolution EO data, which is described in more detail
in the dasymetric mapping lineage processing step. The estimated building count
at any given area is a result of statistical processes and should not be
mistaken as a building count. The structural classes of buildings used for risk
assessment are estimated given the building wall, floor, and roof material
classes surveyed through 2002 Population and Housing Census - Volume 1.
Analytical report.  Additionally, the data is provided in Open Exposure Data
(OED) import format, as a pair of CSV files. One CSV file contains the
location details, and the other is an "account" file that is filled with
default information to satisfy OED format requirements. The OED input files
are set to use "All perils" (i.e. "AA1"). All required OED account-related
fields are populated with "1" by default (such as PortNumber, AccNumber,
PolNumber).

If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes:
        https://forms.gle/DQjhE89CRegNKB3X8

Please see the METEOR project page for information about the METEOR Project:
        http://meteor-project.org/

Please see the METEOR map portal for interactive maps:
        https://maps.meteor-project.org/

For more information about the Open Exposure Data (OED) standard, please see
        https://github.com/OasisLMF/OpenDataStandards

Tags: disaster risk reduction-drr, hazards and risk
Organization: Global Earthquake Model Foundation
Senegal: Level 1 Exposure Data

This data was developed as part of the Modelling Exposure Through Earth
Observation Routines (METEOR) project and is a Level 1, or a global-quality
exposure data set. Minimal country-specific data was collected. The data is
intended for CAT modeling and loss estimation. Repurposing this data for any
reason other than assessing risk is not recommended. The data presents the
estimated number of buildings, building area, and rebuilding value at a
15-arcsecond grid resolution (approximately 500 meters at the equator). This
data set is in point shapefile format where the points represent the centroids
of the 15-arcsecond grid. The results were created through a process of
spreading the number of buildings to the 15-arcsecond level by a statistical
assessment of moderate resolution EO data, which is described in more detail
in the dasymetric mapping lineage processing step. The estimated building count
at any given area is a result of statistical processes and should not be
mistaken as a building count. The structural classes of buildings used for risk
assessment are estimated given the building wall, floor, and roof material
classes surveyed through 2002 Population and Housing Census - Volume 1.
Analytical report.  Additionally, the data is provided in Open Exposure Data
(OED) import format, as a pair of CSV files. One CSV file contains the
location details, and the other is an "account" file that is filled with
default information to satisfy OED format requirements. The OED input files
are set to use "All perils" (i.e. "AA1"). All required OED account-related
fields are populated with "1" by default (such as PortNumber, AccNumber,
PolNumber).

If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes:
        https://forms.gle/DQjhE89CRegNKB3X8

Please see the METEOR project page for information about the METEOR Project:
        http://meteor-project.org/

Please see the METEOR map portal for interactive maps:
        https://maps.meteor-project.org/

For more information about the Open Exposure Data (OED) standard, please see
        https://github.com/OasisLMF/OpenDataStandards

Tags: disaster risk reduction-drr, hazards and risk
Organization: Global Earthquake Model Foundation
Sudan: Level 1 Exposure Data

This data was developed as part of the Modelling Exposure Through Earth
Observation Routines (METEOR) project and is a Level 1, or a global-quality
exposure data set. Minimal country-specific data was collected. The data is
intended for CAT modeling and loss estimation. Repurposing this data for any
reason other than assessing risk is not recommended. The data presents the
estimated number of buildings, building area, and rebuilding value at a
15-arcsecond grid resolution (approximately 500 meters at the equator). This
data set is in point shapefile format where the points represent the centroids
of the 15-arcsecond grid. The results were created through a process of
spreading the number of buildings to the 15-arcsecond level by a statistical
assessment of moderate resolution EO data, which is described in more detail
in the dasymetric mapping lineage processing step. The estimated building count
at any given area is a result of statistical processes and should not be
mistaken as a building count. The structural classes of buildings used for risk
assessment are estimated given the building wall, floor, and roof material
classes surveyed through 2002 Population and Housing Census - Volume 1.
Analytical report.  Additionally, the data is provided in Open Exposure Data
(OED) import format, as a pair of CSV files. One CSV file contains the
location details, and the other is an "account" file that is filled with
default information to satisfy OED format requirements. The OED input files
are set to use "All perils" (i.e. "AA1"). All required OED account-related
fields are populated with "1" by default (such as PortNumber, AccNumber,
PolNumber).

If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes:
        https://forms.gle/DQjhE89CRegNKB3X8

Please see the METEOR project page for information about the METEOR Project:
        http://meteor-project.org/

Please see the METEOR map portal for interactive maps:
        https://maps.meteor-project.org/

For more information about the Open Exposure Data (OED) standard, please see
        https://github.com/OasisLMF/OpenDataStandards

Tags: disaster risk reduction-drr, hazards and risk
Organization: Global Earthquake Model Foundation
Rwanda: Level 1 Exposure Data

This data was developed as part of the Modelling Exposure Through Earth
Observation Routines (METEOR) project and is a Level 1, or a global-quality
exposure data set. Minimal country-specific data was collected. The data is
intended for CAT modeling and loss estimation. Repurposing this data for any
reason other than assessing risk is not recommended. The data presents the
estimated number of buildings, building area, and rebuilding value at a
15-arcsecond grid resolution (approximately 500 meters at the equator). This
data set is in point shapefile format where the points represent the centroids
of the 15-arcsecond grid. The results were created through a process of
spreading the number of buildings to the 15-arcsecond level by a statistical
assessment of moderate resolution EO data, which is described in more detail
in the dasymetric mapping lineage processing step. The estimated building count
at any given area is a result of statistical processes and should not be
mistaken as a building count. The structural classes of buildings used for risk
assessment are estimated given the building wall, floor, and roof material
classes surveyed through 2002 Population and Housing Census - Volume 1.
Analytical report.  Additionally, the data is provided in Open Exposure Data
(OED) import format, as a pair of CSV files. One CSV file contains the
location details, and the other is an "account" file that is filled with
default information to satisfy OED format requirements. The OED input files
are set to use "All perils" (i.e. "AA1"). All required OED account-related
fields are populated with "1" by default (such as PortNumber, AccNumber,
PolNumber).

If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes:
        https://forms.gle/DQjhE89CRegNKB3X8

Please see the METEOR project page for information about the METEOR Project:
        http://meteor-project.org/

Please see the METEOR map portal for interactive maps:
        https://maps.meteor-project.org/

For more information about the Open Exposure Data (OED) standard, please see
        https://github.com/OasisLMF/OpenDataStandards

Tags: disaster risk reduction-drr, hazards and risk
Organization: Global Earthquake Model Foundation
Nepal: Level 1 Exposure Data

This data was developed as part of the Modelling Exposure Through Earth
Observation Routines (METEOR) project and is a Level 1, or a global-quality
exposure data set. Minimal country-specific data was collected. The data is
intended for CAT modeling and loss estimation. Repurposing this data for any
reason other than assessing risk is not recommended. The data presents the
estimated number of buildings, building area, and rebuilding value at a
15-arcsecond grid resolution (approximately 500 meters at the equator). This
data set is in point shapefile format where the points represent the centroids
of the 15-arcsecond grid. The results were created through a process of
spreading the number of buildings to the 15-arcsecond level by a statistical
assessment of moderate resolution EO data, which is described in more detail
in the dasymetric mapping lineage processing step. The estimated building count
at any given area is a result of statistical processes and should not be
mistaken as a building count. The structural classes of buildings used for risk
assessment are estimated given the building wall, floor, and roof material
classes surveyed through 2002 Population and Housing Census - Volume 1.
Analytical report.  Additionally, the data is provided in Open Exposure Data
(OED) import format, as a pair of CSV files. One CSV file contains the
location details, and the other is an "account" file that is filled with
default information to satisfy OED format requirements. The OED input files
are set to use "All perils" (i.e. "AA1"). All required OED account-related
fields are populated with "1" by default (such as PortNumber, AccNumber,
PolNumber).

If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes:
        https://forms.gle/DQjhE89CRegNKB3X8

Please see the METEOR project page for information about the METEOR Project:
        http://meteor-project.org/

Please see the METEOR map portal for interactive maps:
        https://maps.meteor-project.org/

For more information about the Open Exposure Data (OED) standard, please see
        https://github.com/OasisLMF/OpenDataStandards

Tags: disaster risk reduction-drr, hazards and risk
Organization: Global Earthquake Model Foundation
Niger: Level 1 Exposure Data

This data was developed as part of the Modelling Exposure Through Earth
Observation Routines (METEOR) project and is a Level 1, or a global-quality
exposure data set. Minimal country-specific data was collected. The data is
intended for CAT modeling and loss estimation. Repurposing this data for any
reason other than assessing risk is not recommended. The data presents the
estimated number of buildings, building area, and rebuilding value at a
15-arcsecond grid resolution (approximately 500 meters at the equator). This
data set is in point shapefile format where the points represent the centroids
of the 15-arcsecond grid. The results were created through a process of
spreading the number of buildings to the 15-arcsecond level by a statistical
assessment of moderate resolution EO data, which is described in more detail
in the dasymetric mapping lineage processing step. The estimated building count
at any given area is a result of statistical processes and should not be
mistaken as a building count. The structural classes of buildings used for risk
assessment are estimated given the building wall, floor, and roof material
classes surveyed through 2002 Population and Housing Census - Volume 1.
Analytical report.  Additionally, the data is provided in Open Exposure Data
(OED) import format, as a pair of CSV files. One CSV file contains the
location details, and the other is an "account" file that is filled with
default information to satisfy OED format requirements. The OED input files
are set to use "All perils" (i.e. "AA1"). All required OED account-related
fields are populated with "1" by default (such as PortNumber, AccNumber,
PolNumber).

If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes:
        https://forms.gle/DQjhE89CRegNKB3X8

Please see the METEOR project page for information about the METEOR Project:
        http://meteor-project.org/

Please see the METEOR map portal for interactive maps:
        https://maps.meteor-project.org/

For more information about the Open Exposure Data (OED) standard, please see
        https://github.com/OasisLMF/OpenDataStandards

Tags: disaster risk reduction-drr, hazards and risk
Organization: Global Earthquake Model Foundation
Malawi: Level 1 Exposure Data

This data was developed as part of the Modelling Exposure Through Earth
Observation Routines (METEOR) project and is a Level 1, or a global-quality
exposure data set. Minimal country-specific data was collected. The data is
intended for CAT modeling and loss estimation. Repurposing this data for any
reason other than assessing risk is not recommended. The data presents the
estimated number of buildings, building area, and rebuilding value at a
15-arcsecond grid resolution (approximately 500 meters at the equator). This
data set is in point shapefile format where the points represent the centroids
of the 15-arcsecond grid. The results were created through a process of
spreading the number of buildings to the 15-arcsecond level by a statistical
assessment of moderate resolution EO data, which is described in more detail
in the dasymetric mapping lineage processing step. The estimated building count
at any given area is a result of statistical processes and should not be
mistaken as a building count. The structural classes of buildings used for risk
assessment are estimated given the building wall, floor, and roof material
classes surveyed through 2002 Population and Housing Census - Volume 1.
Analytical report.  Additionally, the data is provided in Open Exposure Data
(OED) import format, as a pair of CSV files. One CSV file contains the
location details, and the other is an "account" file that is filled with
default information to satisfy OED format requirements. The OED input files
are set to use "All perils" (i.e. "AA1"). All required OED account-related
fields are populated with "1" by default (such as PortNumber, AccNumber,
PolNumber).

If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes:
        https://forms.gle/DQjhE89CRegNKB3X8

Please see the METEOR project page for information about the METEOR Project:
        http://meteor-project.org/

Please see the METEOR map portal for interactive maps:
        https://maps.meteor-project.org/

For more information about the Open Exposure Data (OED) standard, please see
        https://github.com/OasisLMF/OpenDataStandards

Tags: disaster risk reduction-drr, hazards and risk
Organization: Global Earthquake Model Foundation
Base vacantes laborales de migrantes venezolanos desde julio 2020 a junio 2022

Base que contiene información de migrantes registrados en el Servicio Público de Empleo por departamento, tipo de vacantes (alta rotación, Neutral y Difícil consecución) e información de la demanda laboral venezolana a dos y tres dígitos según la clasificación CIUO 08 AC. Periodo de recolección entre julio de 2020 a junio 2022. 

Tags: employment, hxl
Organization: iMMAP Inc.
Mauritania: Level 1 Exposure Data

This data was developed as part of the Modelling Exposure Through Earth
Observation Routines (METEOR) project and is a Level 1, or a global-quality
exposure data set. Minimal country-specific data was collected. The data is
intended for CAT modeling and loss estimation. Repurposing this data for any
reason other than assessing risk is not recommended. The data presents the
estimated number of buildings, building area, and rebuilding value at a
15-arcsecond grid resolution (approximately 500 meters at the equator). This
data set is in point shapefile format where the points represent the centroids
of the 15-arcsecond grid. The results were created through a process of
spreading the number of buildings to the 15-arcsecond level by a statistical
assessment of moderate resolution EO data, which is described in more detail
in the dasymetric mapping lineage processing step. The estimated building count
at any given area is a result of statistical processes and should not be
mistaken as a building count. The structural classes of buildings used for risk
assessment are estimated given the building wall, floor, and roof material
classes surveyed through 2002 Population and Housing Census - Volume 1.
Analytical report.  Additionally, the data is provided in Open Exposure Data
(OED) import format, as a pair of CSV files. One CSV file contains the
location details, and the other is an "account" file that is filled with
default information to satisfy OED format requirements. The OED input files
are set to use "All perils" (i.e. "AA1"). All required OED account-related
fields are populated with "1" by default (such as PortNumber, AccNumber,
PolNumber).

If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes:
        https://forms.gle/DQjhE89CRegNKB3X8

Please see the METEOR project page for information about the METEOR Project:
        http://meteor-project.org/

Please see the METEOR map portal for interactive maps:
        https://maps.meteor-project.org/

For more information about the Open Exposure Data (OED) standard, please see
        https://github.com/OasisLMF/OpenDataStandards

Tags: disaster risk reduction-drr, hazards and risk
Organization: Global Earthquake Model Foundation
Mozambique: Level 1 Exposure Data

This data was developed as part of the Modelling Exposure Through Earth
Observation Routines (METEOR) project and is a Level 1, or a global-quality
exposure data set. Minimal country-specific data was collected. The data is
intended for CAT modeling and loss estimation. Repurposing this data for any
reason other than assessing risk is not recommended. The data presents the
estimated number of buildings, building area, and rebuilding value at a
15-arcsecond grid resolution (approximately 500 meters at the equator). This
data set is in point shapefile format where the points represent the centroids
of the 15-arcsecond grid. The results were created through a process of
spreading the number of buildings to the 15-arcsecond level by a statistical
assessment of moderate resolution EO data, which is described in more detail
in the dasymetric mapping lineage processing step. The estimated building count
at any given area is a result of statistical processes and should not be
mistaken as a building count. The structural classes of buildings used for risk
assessment are estimated given the building wall, floor, and roof material
classes surveyed through 2002 Population and Housing Census - Volume 1.
Analytical report.  Additionally, the data is provided in Open Exposure Data
(OED) import format, as a pair of CSV files. One CSV file contains the
location details, and the other is an "account" file that is filled with
default information to satisfy OED format requirements. The OED input files
are set to use "All perils" (i.e. "AA1"). All required OED account-related
fields are populated with "1" by default (such as PortNumber, AccNumber,
PolNumber).

If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes:
        https://forms.gle/DQjhE89CRegNKB3X8

Please see the METEOR project page for information about the METEOR Project:
        http://meteor-project.org/

Please see the METEOR map portal for interactive maps:
        https://maps.meteor-project.org/

For more information about the Open Exposure Data (OED) standard, please see
        https://github.com/OasisLMF/OpenDataStandards

Tags: disaster risk reduction-drr, hazards and risk
Organization: Global Earthquake Model Foundation
Myanmar: Level 1 Exposure Data

This data was developed as part of the Modelling Exposure Through Earth
Observation Routines (METEOR) project and is a Level 1, or a global-quality
exposure data set. Minimal country-specific data was collected. The data is
intended for CAT modeling and loss estimation. Repurposing this data for any
reason other than assessing risk is not recommended. The data presents the
estimated number of buildings, building area, and rebuilding value at a
15-arcsecond grid resolution (approximately 500 meters at the equator). This
data set is in point shapefile format where the points represent the centroids
of the 15-arcsecond grid. The results were created through a process of
spreading the number of buildings to the 15-arcsecond level by a statistical
assessment of moderate resolution EO data, which is described in more detail
in the dasymetric mapping lineage processing step. The estimated building count
at any given area is a result of statistical processes and should not be
mistaken as a building count. The structural classes of buildings used for risk
assessment are estimated given the building wall, floor, and roof material
classes surveyed through 2002 Population and Housing Census - Volume 1.
Analytical report.  Additionally, the data is provided in Open Exposure Data
(OED) import format, as a pair of CSV files. One CSV file contains the
location details, and the other is an "account" file that is filled with
default information to satisfy OED format requirements. The OED input files
are set to use "All perils" (i.e. "AA1"). All required OED account-related
fields are populated with "1" by default (such as PortNumber, AccNumber,
PolNumber).

If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes:
        https://forms.gle/DQjhE89CRegNKB3X8

Please see the METEOR project page for information about the METEOR Project:
        http://meteor-project.org/

Please see the METEOR map portal for interactive maps:
        https://maps.meteor-project.org/

For more information about the Open Exposure Data (OED) standard, please see
        https://github.com/OasisLMF/OpenDataStandards

Tags: disaster risk reduction-drr, hazards and risk
Organization: Global Earthquake Model Foundation