cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0197799.10fu
title: SH0197799.10FU

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/sh0197800.10fu
title: SH0197800.10FU

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/sh0197801.10fu
title: SH0197801.10FU

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/sh0197802.10fu
title: SH0197802.10FU

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/sh0197803.10fu
title: SH0197803.10FU

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/sh0197804.10fu
title: SH0197804.10FU

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/sh0197805.10fu
title: SH0197805.10FU

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.y9vsfy
title: Occurrence Download

description: A dataset containing 27022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagittidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27022 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001501-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2k9wa
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Inventario de crotálidos en las zonas áridas del noroeste de México",
 "Geometry POLYGON((-110.42718052271032 23.54075075777889,-109.83862060765644 23.54075075777889,-109.83862060765644 24.12931067283277,-110.42718052271032 24.12931067283277,-110.42718052271032 23.54075075777889))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 40 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001502-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3x3u3e
title: Occurrence Download

description: A dataset containing 1108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Loliginidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1108 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001503-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29yb6k
title: Occurrence Download

description: A dataset containing 1546 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cnemidolestodea"
 ]
}

 The dataset includes 1546 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001504-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9cvqcy
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Buckleya henryi Diels"
 ]
}

 The dataset includes 40 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001505-250213122211068/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.28209622
title: Comparative analysis of functional group effects on CO<sub>2</sub>, CH<sub>4</sub>, CO, and N<sub>2</sub> adsorption in UiO-66 and its derivatives

description: This work focuses on the effect of organic linker functionality on the adsorption characteristics of CO<sub>2</sub>, CH<sub>4</sub>, CO, and N<sub>2</sub> over UiO-66, UiO-66-NH<sub>2</sub>, UiO-66-NO<sub>2</sub>, UiO-66-COOH, and UiO-66-(COOH)<sub>2</sub>. Introducing polar and complex functional groups such as – NH<sub>2</sub>, –NO<sub>2</sub>, –COOH, and –(COOH)<sub>2</sub> improved the adsorption capacity but also reduced the free volume, negatively impacting adsorption. In the low-pressure region, functionality played a dominant role, whereas at saturation, the pore volume of Metal-Organic Frameworks contributed more to adsorption uptake. For all studied gases, a Type-I isotherm was observed. The isotherms were modeled using the virial equation, and model parameters were used to calculate the enthalpies of adsorption. Ideal Adsorbed Solution Theory was used to predict the selectivity of binary mixtures. The selectivity of CO<sub>2</sub> over CH<sub>4</sub>, CO, and N<sub>2</sub> showed that introducing larger and more complex functional groups caused a sudden decrease in selectivity with increasing temperature; this difference was more significant at lower temperatures and negligible at higher temperatures.
DOI: 10.6084/m9.figshare.28209622.v1
title: Comparative analysis of functional group effects on CO<sub>2</sub>, CH<sub>4</sub>, CO, and N<sub>2</sub> adsorption in UiO-66 and its derivatives

description: This work focuses on the effect of organic linker functionality on the adsorption characteristics of CO<sub>2</sub>, CH<sub>4</sub>, CO, and N<sub>2</sub> over UiO-66, UiO-66-NH<sub>2</sub>, UiO-66-NO<sub>2</sub>, UiO-66-COOH, and UiO-66-(COOH)<sub>2</sub>. Introducing polar and complex functional groups such as – NH<sub>2</sub>, –NO<sub>2</sub>, –COOH, and –(COOH)<sub>2</sub> improved the adsorption capacity but also reduced the free volume, negatively impacting adsorption. In the low-pressure region, functionality played a dominant role, whereas at saturation, the pore volume of Metal-Organic Frameworks contributed more to adsorption uptake. For all studied gases, a Type-I isotherm was observed. The isotherms were modeled using the virial equation, and model parameters were used to calculate the enthalpies of adsorption. Ideal Adsorbed Solution Theory was used to predict the selectivity of binary mixtures. The selectivity of CO<sub>2</sub> over CH<sub>4</sub>, CO, and N<sub>2</sub> showed that introducing larger and more complex functional groups caused a sudden decrease in selectivity with increasing temperature; this difference was more significant at lower temperatures and negligible at higher temperatures.
DOI: 10.15468/dl.wf7y3g
title: Occurrence Download

description: A dataset containing 448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stenothoidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 448 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001508-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azsafp
title: Occurrence Download

description: A dataset containing 1683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melitidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1683 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001510-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5398ye
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Cnemidolestodea"
 ]
}

 The dataset includes 44 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001509-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11851740
title: gh_ci_test_list
DOI: 10.5281/zenodo.11851741
title: gh_ci_test_list
DOI: 10.5281/zenodo.13308735
title: local_test_list
DOI: 10.5281/zenodo.14860997
title: gh_ci_test_list
DOI: 10.5281/zenodo.13308734
title: local_test_list
DOI: 10.5281/zenodo.14868946
title: Stock Price of 30 Companies in London Stock Exchange
DOI: 10.5281/zenodo.14868947
title: Stock Price of 30 Companies in London Stock Exchange
DOI: 10.5281/zenodo.14869001
title: Data of satellite-estimated CO2 and CH4 emissions from 113 meso-eutrophic lakes of China's Yangtze and Huai River Basin

description: This supporting information provides the data, which inlcude lake size, CO2 flux, CH4 flux, and eutrophic status such as chlorophyll a (Chl-a) concentration and trophic state index.
DOI: 10.5281/zenodo.14869002
title: Data of satellite-estimated CO2 and CH4 emissions from 113 meso-eutrophic lakes of China's Yangtze and Huai River Basin

description: This supporting information provides the data, which inlcude lake size, CO2 flux, CH4 flux, and eutrophic status such as chlorophyll a (Chl-a) concentration and trophic state index.
DOI: 10.5281/zenodo.14868134
title: Inverted Pn and Sn velocity model from "Uppermost mantle structure beneath eastern China and its surroundings from Pn and Sn tomography"

description: In this directory, it contains Pn, Sn velocity beneath eastern China in the XYZV format.

Files:P.xyzv: Pn wavespeedS.xyzv: Sn wavespeedThe velocity are defined on regular grids with 1 degree by 1 degree with depth interval of 5 km. 

P_0.25.xyzv: Pn wavespeedS_0.25.xyzv: Sn wavespeedThe velocity are defined on regular grids with 0.25 degree by 0.25 degree with depth interval of 5 km. 

The four columns stand for longitude, latitude, depth, velocity.100.000000    17.000000    -10.000000    1.500417100.000000    18.000000    -10.000000    1.502226100.000000    19.000000    -10.000000    1.501874

P.xyzv ranges <100/140>       <17/60> <-10/200>       <0.526386/8.820347> for longitude, latitude, depth and P wavespeed.S.xyzv ranges <100/140>       <17/60> <-10/200>       <0.5/5.029679> for longitude, latitude, depth and S wavespeed.

Please note that, Pn and Sn sample the uppermost mantle (downward to about 75km for P and about 65 km for S) well. The model has depth range of -10 km -- 200 km. This is because the inversion is a 3-D inversion, which defines velocity on regular grids in 3-D. Therefore, the mantle at depths 75--100 km for P and 65--100 km are little sampled. The velocity below 100 km should be inherited from the initial model. 

The velocities in continental regions have good resolution of 2-by-2 degree or better in most regions. In oceanic regions, the velocities are inherited from the initial model. For details, please refer to the papers below.

If you use the data, I would appreciate you can cite the two papers below.Sun, Weijia, and B. L. N. Kennett (2016), Uppermost mantle P wavespeed structure beneath eastern China and its surroundings, Tectonophysics, 683, 12-26.Sun, Weijia, and B. L. N. Kennett (2016), Uppermost mantle structure beneath eastern China and its surroundings from Pn and Sn tomography, Geophys Res Lett, 43(7), 3143-3149.

If any problems, please do not hesitate to contact me. Email: swj@mail.iggcas.ac.cn 

Weijia Sun
DOI: 10.5281/zenodo.14868135
title: Inverted Pn and Sn velocity model from "Uppermost mantle structure beneath eastern China and its surroundings from Pn and Sn tomography"

description: In this directory, it contains Pn, Sn velocity beneath eastern China in the XYZV format.

Files:P.xyzv: Pn wavespeedS.xyzv: Sn wavespeedThe velocity are defined on regular grids with 1 degree by 1 degree with depth interval of 5 km. 

P_0.25.xyzv: Pn wavespeedS_0.25.xyzv: Sn wavespeedThe velocity are defined on regular grids with 0.25 degree by 0.25 degree with depth interval of 5 km. 

The four columns stand for longitude, latitude, depth, velocity.100.000000    17.000000    -10.000000    1.500417100.000000    18.000000    -10.000000    1.502226100.000000    19.000000    -10.000000    1.501874

P.xyzv ranges <100/140>       <17/60> <-10/200>       <0.526386/8.820347> for longitude, latitude, depth and P wavespeed.S.xyzv ranges <100/140>       <17/60> <-10/200>       <0.5/5.029679> for longitude, latitude, depth and S wavespeed.

Please note that, Pn and Sn sample the uppermost mantle (downward to about 75km for P and about 65 km for S) well. The model has depth range of -10 km -- 200 km. This is because the inversion is a 3-D inversion, which defines velocity on regular grids in 3-D. Therefore, the mantle at depths 75--100 km for P and 65--100 km are little sampled. The velocity below 100 km should be inherited from the initial model. 

The velocities in continental regions have good resolution of 2-by-2 degree or better in most regions. In oceanic regions, the velocities are inherited from the initial model. For details, please refer to the papers below.

If you use the data, I would appreciate you can cite the two papers below.Sun, Weijia, and B. L. N. Kennett (2016), Uppermost mantle P wavespeed structure beneath eastern China and its surroundings, Tectonophysics, 683, 12-26.Sun, Weijia, and B. L. N. Kennett (2016), Uppermost mantle structure beneath eastern China and its surroundings from Pn and Sn tomography, Geophys Res Lett, 43(7), 3143-3149.

If any problems, please do not hesitate to contact me. Email: swj@mail.iggcas.ac.cn 

Weijia Sun
DOI: 10.15468/dl.czvkme
title: Occurrence Download

description: A dataset containing 1045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dogielinotidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1045 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001512-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rups3u
title: Occurrence Download

description: A dataset containing 26905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Solanum tuberosum L."
 ]
}

 The dataset includes 26905 records from 507 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001513-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4x3bgf
title: Occurrence Download

description: A dataset containing 3357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Haematopus ostralegus Linnaeus, 1758"
 ]
}

 The dataset includes 3357 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001515-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ethe7
title: Occurrence Download

description: A dataset containing 2416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ampeliscidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2416 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001514-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.645vh4
title: Occurrence Download

description: A dataset containing 2928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Oceanites oceanicus (Kuhl, 1820)"
 ]
}

 The dataset includes 2928 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001516-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.quc75r
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atylidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 107 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001517-250213122211068/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.