cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10864838
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P50 (2002): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P50 (median) values of corresponding predictors for the year 2002. 
        The median values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10883936
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P50 (2002): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P50 (median) values of corresponding predictors for the year 2002. 
        The median values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10851076
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P50 (2000): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P50 (median) values of corresponding predictors for the year 2000. 
        The median values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10864828
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P50 (2001): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P50 (median) values of corresponding predictors for the year 2001. 
        The median values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10883934
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P50 (2000): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P50 (median) values of corresponding predictors for the year 2000. 
        The median values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10883935
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P50 (2001): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P50 (median) values of corresponding predictors for the year 2001. 
        The median values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.offkk1
title: Occurrence Download

description: A dataset containing 6743 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydroleaceae"
 ]
}

 The dataset includes 6743 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002883-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10778013
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P25 (2022): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P25 (percentile 25) values of corresponding predictors for the year 2022. 
        The P25 values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10883931
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P25 (2022): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P25 (percentile 25) values of corresponding predictors for the year 2022. 
        The P25 values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.r3wcrn
title: Occurrence Download

description: A dataset containing 449527 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grossulariaceae"
 ]
}

 The dataset includes 449527 records from 838 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002881-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10778011
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P25 (2021): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P25 (percentile 25) values of corresponding predictors for the year 2021. 
        The P25 values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10883928
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P25 (2021): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P25 (percentile 25) values of corresponding predictors for the year 2021. 
        The P25 values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10778007
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P25 (2019): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P25 (percentile 25) values of corresponding predictors for the year 2019. 
        The P25 values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10883926
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P25 (2019): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P25 (percentile 25) values of corresponding predictors for the year 2019. 
        The P25 values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10778009
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P25 (2020): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P25 (percentile 25) values of corresponding predictors for the year 2020. 
        The P25 values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10883927
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P25 (2020): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P25 (percentile 25) values of corresponding predictors for the year 2020. 
        The P25 values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10778005
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P25 (2018): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P25 (percentile 25) values of corresponding predictors for the year 2018. 
        The P25 values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10883925
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P25 (2018): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P25 (percentile 25) values of corresponding predictors for the year 2018. 
        The P25 values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10778003
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P25 (2017): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P25 (percentile 25) values of corresponding predictors for the year 2017. 
        The P25 values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10883922
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P25 (2017): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P25 (percentile 25) values of corresponding predictors for the year 2017. 
        The P25 values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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.10778001
title: Landsat-based Spectral Indices for pan-EU 2000-2022  - Annual predictor P25 (2016): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P25 (percentile 25) values of corresponding predictors for the year 2016. 
        The P25 values are calculated from the bimonthly values of six corresponding predictors throughout the year. 
        The predictors in this subset include seven reflectance bands: red, green, blue, NIR, SWIR1, SWIR2, and thermal; 
        as well as two spectral indices: NDVI and NDWI.
        
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!