cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.y2b6q2
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamogeton crispus L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046221-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pc94ys
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polylepis rugulosa Bitter"
 ]
}

 The dataset includes 157 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046222-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jfcrc
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamogeton crispus L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 39 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046224-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rd9nkk
title: Occurrence Download

description: A dataset containing 3344 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((101.29712 9.24136,171.66436 9.24136,171.66436 57.10996,101.29712 57.10996,101.29712 9.24136))",
 "Geometry POLYGON((107.72523 19.08226,125.77863 19.08226,125.77863 30.00677,107.72523 30.00677,107.72523 19.08226))"
 ]
 },
 "HasGeospatialIssue is false",
 "TaxonKey is Bangiales"
 ]
}

 The dataset includes 3344 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046223-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e69ef5
title: Occurrence Download

description: A dataset containing 3344 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((101.29712 9.24136,171.66436 9.24136,171.66436 57.10996,101.29712 57.10996,101.29712 9.24136))",
 "Geometry POLYGON((107.72523 19.08226,125.77863 19.08226,125.77863 30.00677,107.72523 30.00677,107.72523 19.08226))"
 ]
 },
 "HasGeospatialIssue is false",
 "TaxonKey is Bangiales"
 ]
}

 The dataset includes 3344 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046225-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrgef6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamogeton crispus L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046226-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7844ad
title: Occurrence Download

description: A dataset containing 20438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Formica rufa Linnaeus, 1761"
 ]
}

 The dataset includes 20438 records from 476 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046227-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29316089
title: CombinedSurveyData.csv

description: Survey Responses for Cognitive Map Cover Crop Survey 2024
DOI: 10.6084/m9.figshare.29316089.v1
title: CombinedSurveyData.csv

description: Survey Responses for Cognitive Map Cover Crop Survey 2024
DOI: 10.15468/dl.wy8hsp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamogeton crispus L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046228-250525065834625/datasets/export for details.
DOI: 10.15468/dl.6u6ut8
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polylepis rugulosa Bitter"
 ]
}

 The dataset includes 157 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046229-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npys6u
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamogeton crispus L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046230-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75n8tx
title: Occurrence Download

description: A dataset containing 6181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spodoptera frugiperda J.E.Smith, 1797",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Machine Observation, Unknown evidence)"
 ]
 }
 }
 ]
}

 The dataset includes 6181 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046231-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26364157
title: Figure 6

description: Data from Figure 6
DOI: 10.15468/dl.td5vmp
title: Occurrence Download

description: A dataset containing 788 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ocotea catharinensis Mez"
 ]
}

 The dataset includes 788 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002967-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10851080
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2000): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) values of corresponding predictors for the year 2000. 
        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.10883972
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2000): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) values of corresponding predictors for the year 2000. 
        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.10866025
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2001): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) values of corresponding predictors for the year 2001. 
        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.10883973
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2001): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) values of corresponding predictors for the year 2001. 
        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.10866071
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2002): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) values of corresponding predictors for the year 2002. 
        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.10883974
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2002): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) values of corresponding predictors for the year 2002. 
        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.10866095
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2003): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) values of corresponding predictors for the year 2003. 
        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.10883975
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2003): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) values of corresponding predictors for the year 2003. 
        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.10866108
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2004): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) values of corresponding predictors for the year 2004. 
        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.10883976
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2004): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) values of corresponding predictors for the year 2004. 
        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.10866121
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2005): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) values of corresponding predictors for the year 2005. 
        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.10883977
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor P75 (2005): Reflectances bands, NDVI and NDWI

description: Data information
        
This dataset provides the P75 (percentile 75) values of corresponding predictors for the year 2005. 
        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!