cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10777888
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2010): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2010. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777889
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2010): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2010. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777886
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2009): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2009. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777887
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2009): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2009. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777882
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2007): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2007. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777883
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2007): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2007. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777880
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2006): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2006. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777881
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2006): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2006. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777878
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2005): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2005. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777879
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2005): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2005. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777876
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2004): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2004. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777877
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2004): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2004. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.1594/pangaea.75678
title: Total foraminifera counts of multinet M21/1_MSN605
DOI: 10.5281/zenodo.10777874
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2003): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2003. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777875
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2003): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2003. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777872
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2002): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2002. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!