cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10777873
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2002): BSF, minNDTI, and NOS

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

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

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777870
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2001): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2001. 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.10777871
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2001): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2001. 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.10777868
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2000): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2000. 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.10777869
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2000): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2000. 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.asd3fr
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deeringothamnus rugelii (B.L.Rob.) Small"
 ]
}

 The dataset includes 84 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003233-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjdrv9
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cymbopetalum baillonii R.E.Fr."
 ]
}

 The dataset includes 261 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003232-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iveibn
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Botswana",
 "Year 2012-2019",
 "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 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003236-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.71263
title: Total foraminifera counts from multinet M32/5_MSN976
DOI: 10.25574/cdc.212
title: Chandra X-ray Observatory Chandra Data Collection for request #212

description: Chandra Data Collection for request #212
description: DOI updated to include the publication's DOI on 2024-07-24-12:00:00
DOI: 10.15468/dl.zevtks
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Desmopsis panamensis (B.L.Rob.) Saff."
 ]
}

 The dataset includes 132 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003235-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5g8qx
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is one of (Museum of Comparative Zoology, Harvard University, AMNH Herpetology Collections, LACM Vertebrate Collection, Vertebrate Zoology Division - Herpetology, Yale Peabody Museum, Field Museum of Natural History (Zoology) Amphibian and Reptile Collection, RBINS Reptile collection)",
 "TaxonKey is Latastia Bedriaga, 1884"
 ]
}

 The dataset includes 264 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034887-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.absymb
title: Occurrence Download

description: A dataset containing 992 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Desmos chinensis Lour."
 ]
}

 The dataset includes 992 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003238-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10777904
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2018): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2018. 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.10777905
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2018): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2018. 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.10777900
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2016): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2016. 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.10777901
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2016): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2016. 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.ig6gav
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "TaxonKey is Adenopodia schlechteri (Harms) Brenan"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003240-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.770908
title: (Table 1) Benthic foraminiferal distribution at ODP Site 127-794
DOI: 10.26036/cnp0005951
title: The Electric Eel Genome Project

description: To obtain a high-quality reference genome for the electric eel, sequencing reads were generated and comprehensively analyzed utilizing multiple platforms.
DOI: 10.15468/dl.ifxmhi
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cymbopetalum baillonii R.E.Fr."
 ]
}

 The dataset includes 261 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003241-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mztklw
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Enantia polycarpa (DC.) Engl. & Diels"
 ]
}

 The dataset includes 62 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003243-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9bsky
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Botswana",
 "Geometry POLYGON((21.46729 -26.2343,26.21338 -26.2343,26.21338 -20.67391,21.46729 -20.67391,21.46729 -26.2343))",
 "HasCoordinate is true",
 "TaxonKey is Naja nivea (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003247-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwvio4
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Goniothalamus griffithii Hook.f. & Thomson"
 ]
}

 The dataset includes 71 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003244-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5euva
title: Occurrence Download

description: A dataset containing 464 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Duguetia lanceolata A.St.-Hil."
 ]
}

 The dataset includes 464 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003242-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srux0v
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Goniothalamus tortilipetalus M.R.Hend."
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003246-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bwpzu
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((25.81787 -24.00633,24.36768 -24.08659,24.32373 -25.20494,27.44385 -25.20494,27.44385 -24.00633,25.81787 -24.00633))",
 "Year 2000-2000",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 317 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003245-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8u2c8d
title: Occurrence Download

description: A dataset containing 1041624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.61322 53.31446,6.39424 53.29705,6.29988 53.11839,6.45563 52.92415,6.75523 52.91407,6.90457 53.11381,6.82669 53.28972,6.61322 53.31446))",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1041624 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034886-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t0n3kk
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Oenanthe tricholoba Greuter",
 "TaxonKey is Minuartia kamariana Greuter"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003249-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4vtqzy
title: Occurrence Download

description: A dataset containing 503749 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Primula L."
 ]
}

 The dataset includes 503749 records from 776 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003237-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrh5qy
title: Occurrence Download

description: A dataset containing 123185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Costa Rica, Belize, Panama, El Salvador, Nicaragua, Guatemala, Honduras)",
 "OccurrenceStatus is Present",
 "TaxonKey is Chloroceryle americana",
 "Year 1950-2025"
 ]
}

 The dataset includes 123185 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007441-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.