cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10866474
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2016): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) 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!
DOI: 10.5281/zenodo.10883988
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2016): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) 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!
DOI: 10.5281/zenodo.10866496
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2017): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) 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.10866514
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2018): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) 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.10883989
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2017): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) 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.10883990
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2018): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) 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.10866533
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2019): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) 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.10883991
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2019): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) 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.10866572
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2020): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) 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.10883992
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2020): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) 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.10866603
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2021): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) 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.10883993
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2021): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) 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.10851082
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2022): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) 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.10883994
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2022): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) 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.s76c75
title: Occurrence Download

description: A dataset containing 2930379 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salicaceae"
 ]
}

 The dataset includes 2930379 records from 1869 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002929-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrvx42
title: Occurrence Download

description: A dataset containing 91059 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((17.14698 -18.52691,179.85302 -18.52691,179.85302 46.52691,17.14698 46.52691,17.14698 -18.52691))",
 "HasCoordinate is true",
 "TaxonKey is Spilornis G.R.Gray, 1840",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 91059 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012943-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oz47ih
title: Occurrence Download

description: A dataset containing 360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "HasCoordinate is true",
 "TaxonKey is Scopula frigidaria (Möschler, 1860)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 360 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000114-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rmn7u
title: Occurrence Download

description: A dataset containing 5560 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrilla L."
 ]
}

 The dataset includes 5560 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0203196-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqjsvw
title: Occurrence Download

description: A dataset containing 1495570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru"
 ]
}

 The dataset includes 1495570 records from 387 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025957-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.um4vje
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrobaena veneta (Rosa, 1886)"
 ]
}

 The dataset includes 342 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056868-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwqb4x
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Fulgensia desertorum (Tomin) Poelt"
 ]
}

 The dataset includes 112 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017237-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thhumu
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA",
 "OccurrenceStatus is Present",
 "TaxonKey is Zinnia L.",
 "Year 2013-2022"
 ]
}

 The dataset includes 106 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022801-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afayy5
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quadricellaria caraibica Canu & Bassler, 1928"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0333192-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prqcdp
title: Occurrence Download

description: A dataset containing 592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lithobates neovolcanicus (Hillis & Frost, 1985)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 592 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015203-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bearuc
title: Occurrence Download

description: A dataset containing 2128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.96963 26.93455,-83.56132 25.3933,-83.74608 23.93035,-80.78766 23.76231,-79.56567 25.68423,-79.96963 26.93455))",
 "OccurrenceStatus is Present",
 "TaxonKey is Scarus taeniopterus Lesson, 1829",
 "Year 2014-2017"
 ]
}

 The dataset includes 2128 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0173157-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47py3x
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.55779 29.69193,-95.45926 29.69193,-95.45926 29.72162,-95.55779 29.72162,-95.55779 29.69193))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Megascops asio (Linnaeus, 1758)"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112755-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.