cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1042365.10fu
title: SH1042365.10FU

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: 10.17632/vymzy4bc8f.1
title: VULNERABILITY OF FRESHWATER MUSSEL UNIO TUMIDUS TO WATERBORNE MIXTURE OF PSYCHOACTIVE SUBSTANCES AND MICROPLASTIC

description: Background. The psychoactive substances input into surface waters increases due to the rose of their application in the curing and mood support. The bivalve molluscs are recognized sentinel organisms in the assessment of the pollution. However, the effects on the non-target organisms of compounds that alter behavior and cognition in the human individuals are studied scarce. Besides, in the aquatic environment, the presence of microplastics (MP) can change their biological effects. Therefore, to approximate exposure conditions to the environmental relevance, the goal of this study was to indicate whether the approved biochemical indexes of stress and toxicity in bivalves are the suitable biomarkers of single and combine exposures to psychoactive substances and MP.
DOI: 10.15156/bio/sh1042366.10fu
title: SH1042366.10FU

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/sh1042367.10fu
title: SH1042367.10FU

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/sh1042368.10fu
title: SH1042368.10FU

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/sh1042369.10fu
title: SH1042369.10FU

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/sh1042370.10fu
title: SH1042370.10FU

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/sh1042371.10fu
title: SH1042371.10FU

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.6bpnft
title: Occurrence Download

description: A dataset containing 6653 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Harmonia conformis (Boisduval, 1835)"
 ]
}

 The dataset includes 6653 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119838-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpgh5h
title: Occurrence Download

description: A dataset containing 4623429 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is a2fa5b68-3ebf-4845-abc5-f456d251386f"
 ]
}

 The dataset includes 4623429 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119802-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xn9bum
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syzygium neocaledonicum (Seem.) Dawson"
 ]
}

 The dataset includes 50 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119842-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8emvjv
title: Occurrence Download

description: A dataset containing 361 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tapura fischeri Engl."
 ]
}

 The dataset includes 361 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119841-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74m5ce
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum monochroum G.E.Haglund"
 ]
}

 The dataset includes 142 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119840-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eabeqf
title: Occurrence Download

description: A dataset containing 445 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tessmannia africana Harms"
 ]
}

 The dataset includes 445 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119843-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p46tpr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinospartum lusitanicum (L.) Rothm.",
 "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/0119844-240321170329656/datasets/export for details.
DOI: 10.15468/dl.4ubdc2
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tanacetum larvatum (Pant.) Hayek"
 ]
}

 The dataset includes 83 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119845-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j54hug
title: Occurrence Download

description: A dataset containing 463 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tarenna nitidula (Benth.) Hiern"
 ]
}

 The dataset includes 463 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119846-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkawm7
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dermatobia hominis (Linnaeus, 1781))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 154 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119847-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10940608
title: w0waCDM_nonflat_GCsp_polychord
DOI: 10.5281/zenodo.10901963
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Terra (2003_320-334)

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: 320-334). Please click here to download the ELITE SLDR product in 2003 (DOY: 335-349).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2003-11-16 ~ 2003-11-30

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: 10.5281/zenodo.10901964
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Terra (2003_320-334)

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: 320-334). Please click here to download the ELITE SLDR product in 2003 (DOY: 335-349).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2003-11-16 ~ 2003-11-30

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.m4w5bb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echium aculeatum Poir.",
 "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/0119851-240321170329656/datasets/export for details.
DOI: 10.5281/zenodo.10940609
title: hydatina_amplustre_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10940610
title: hydatina_amplustre_zanfona_1.fasta.gz

description: .
DOI: 10.15468/dl.gjtyfj
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syzygium neoeugenioides N.Snow, Byng & J.W.Dawson"
 ]
}

 The dataset includes 51 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119848-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63uc65
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum monotropum Sahlin"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119849-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqfrvf
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tessmannia anomala (Micheli) Harms"
 ]
}

 The dataset includes 366 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119850-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szy28m
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tapura ivorensis Breteler"
 ]
}

 The dataset includes 60 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119852-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10902541
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Terra (2003_335-349)

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: 335-349). Please click here to download the ELITE SLDR product in 2003 (DOY: 350-365).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2003-12-01 ~ 2003-12-15

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