cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1041436.10fu
title: SH1041436.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1041437.10fu
title: SH1041437.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1041438.10fu
title: SH1041438.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1041439.10fu
title: SH1041439.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1041440.10fu
title: SH1041440.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1041441.10fu
title: SH1041441.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1041442.10fu
title: SH1041442.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1041443.10fu
title: SH1041443.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1041444.10fu
title: SH1041444.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1041445.10fu
title: SH1041445.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.skuyu5
title: Occurrence Download

description: A dataset containing 50897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (North America, South America)",
 "Country is one of (United States of America, Mexico, Guatemala, Nicaragua, Belize, El Salvador, Honduras)",
 "TaxonKey is Dalea L."
 ]
}

 The dataset includes 50897 records from 290 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116610-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3x32qm
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tapura africana Oliv."
 ]
}

 The dataset includes 279 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119812-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xeapsp
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ternstroemia toquian (Blanco) Fern.-Vill."
 ]
}

 The dataset includes 203 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119813-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9wn7y
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tanacetum kotschyi (Boiss.) Grierson"
 ]
}

 The dataset includes 122 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119814-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y98u7u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinophora spinosa L.",
 "HasCoordinate is true",
 "Country is Iceland",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119816-240321170329656/datasets/export for details.
DOI: 10.15468/dl.92twva
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tarenna multinervia (Merr.) Bremek."
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119817-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fr6a3e
title: Occurrence Download

description: A dataset containing 1548 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum mongolicum Hand.-Mazz."
 ]
}

 The dataset includes 1548 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119815-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h5cpnh
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syzygium napiforme (Koord. & Valeton) Merr. & L.M.Perry"
 ]
}

 The dataset includes 88 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119818-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2qerj
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tapura arachnoidea Breteler"
 ]
}

 The dataset includes 57 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119820-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwttsk
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ternstroemia urdanetensis (Elmer) Kobuski"
 ]
}

 The dataset includes 75 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119819-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stsm37
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinops bannaticus Rochel ex Schrad.",
 "HasCoordinate is true",
 "Country is Iceland",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119822-240321170329656/datasets/export for details.
DOI: 10.5281/zenodo.10901504
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Terra (2003_274-288)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE surface longwave downward radiation (SLDR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data, ELITE emissivity product and MERRA2 reanalysis data using the algorithms developed by Cheng et al. (2016), Cheng et al. (2017) and Yang and Cheng. (2020).

 

This is the ELITE SLDR product in 2003 (DOY: 274-288). Please click here to download the ELITE SLDR product in 2003 (DOY: 289-304).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2003-10-01 ~ 2003-10-15

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


 

Citation (Please cite these papers when using the data):



Cheng, J., & Liang, S. (2016). Global estimates for high spatial resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 54, 4115-4129

Cheng, J., Liang, S., Wang, W., & Guo, Y. (2017). An efficient hybrid method for estimating clear-sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 122, 2616-2630

Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972
DOI: 10.15468/dl.wvjpj5
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tanacetum krylovianum (Krasch.) K.Bremer & Humphries"
 ]
}

 The dataset includes 18 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119821-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10901503
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Terra (2003_274-288)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE surface longwave downward radiation (SLDR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data, ELITE emissivity product and MERRA2 reanalysis data using the algorithms developed by Cheng et al. (2016), Cheng et al. (2017) and Yang and Cheng. (2020).

 

This is the ELITE SLDR product in 2003 (DOY: 274-288). Please click here to download the ELITE SLDR product in 2003 (DOY: 289-304).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2003-10-01 ~ 2003-10-15

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


 

Citation (Please cite these papers when using the data):



Cheng, J., & Liang, S. (2016). Global estimates for high spatial resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 54, 4115-4129

Cheng, J., Liang, S., Wang, W., & Guo, Y. (2017). An efficient hybrid method for estimating clear-sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 122, 2616-2630

Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972
DOI: 10.6084/m9.figshare.24778182
title: Supplemental Table S1

description: In this study, sampling of bulk tank milk and milk from primiparous cows was repeated four times in 149 herds over two years. The samples were analyzed for <i>Mycoplasma bovis</i> antibodies with IDScreen ELISA. Together with <i>Mycoplasma bovis</i> antibody status in the herds, data on introduction of live animals, herd size, health, and production in the herds were analyzed.This table shows a detailed summary of the statistical analysis for all herd variables, univariable analysis and the mixed models with herd and sample as random factors.
DOI: 10.6084/m9.figshare.24778182.v1
title: Supplemental Table S1

description: In this study, sampling of bulk tank milk and milk from primiparous cows was repeated four times in 149 herds over two years. The samples were analyzed for <i>Mycoplasma bovis</i> antibodies with IDScreen ELISA. Together with <i>Mycoplasma bovis</i> antibody status in the herds, data on introduction of live animals, herd size, health, and production in the herds were analyzed.This table shows a detailed summary of the statistical analysis for all herd variables, univariable analysis and the mixed models with herd and sample as random factors.
DOI: 10.15468/dl.hauyay
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tarenna nilagirica (Bedd.) Bremek."
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119823-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.