cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10777909
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2020): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2020. 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.10777906
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2019): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2019. 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.10777907
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2019): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2019. 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.10777902
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2017): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2017. 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.10777903
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2017): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2017. 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: 10.15468/dl.dytqk5
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyathocalyx pruniferus (Maingay ex Hook.f. & Thomson) J.Sinclair"
 ]
}

 The dataset includes 80 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003231-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpnhoj
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Botswana",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "Month is May",
 "Geometry POLYGON((21.07178 -26.11599,27.57568 -26.11599,27.57568 -19.14517,21.07178 -19.14517,21.07178 -26.11599))",
 {
 "or" : [
 "TaxonKey is Aloe vera (L.) Burm.f.",
 "TaxonKey is Aloe L."
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003234-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10777898
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2015): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2015. 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.10777899
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2015): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2015. 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.10777896
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2014): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2014. 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.10777897
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2014): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2014. 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.10777894
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2013): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2013. 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.10777895
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2013): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2013. 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.10777892
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2012): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2012. 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.10777893
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2012): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2012. 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.10777890
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2011): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2011. 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.10777891
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2011): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2011. 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!