cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1377081.10fu
title: SH1377081.10FU

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/sh1377084.10fu
title: SH1377084.10FU

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/sh1377085.10fu
title: SH1377085.10FU

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: 10.6084/m9.figshare.31055353
title: Supporting data for ``Observation of Metal-Insulator and Spectral Phase Transitions in Aubry-Andre-Harper Models''

description: Data for ``Observation of Metal-Insulator and Spectral Phase Transitions in Aubry-Andre-Harper Models''
DOI: 10.6084/m9.figshare.31055353.v1
title: Supporting data for ``Observation of Metal-Insulator and Spectral Phase Transitions in Aubry-Andre-Harper Models''

description: Data for ``Observation of Metal-Insulator and Spectral Phase Transitions in Aubry-Andre-Harper Models''
DOI: 10.15156/bio/sh1377087.10fu
title: SH1377087.10FU

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: 10.5281/zenodo.18668313
title: Challenging the deactivation resistance of Co/Cu-dendritic ZSM-5 zeolites in methane pyrolysis for clean hydrogen

description: ZSM-5 zeolites with dendritic nanoarchitecture has been recently developed, showing outstanding accessibility due to its singular multilevel porosity, high connectivity and preferential location of the acid sites on the external surface. The present work provides insights on how these features impact also positively on their resistance against deactivation by coke deposition. To that end, a variety of dendritic ZSM-5 samples, incorporating Co and Cu species, have been tested as catalysts in methane pyrolysis, being compared with several reference samples. This process is an interesting route for the production of clean (COx-free) hydrogen but also a strongly demanding reaction due to the huge amounts of carbon being formed and deposited over the catalyst. Using a thermobalance at different temperatures, the Co/Cu-containing dendritic zeolites exhibited very short induction times, fast kinetics, and high hydrogen selectivity, due to the good dispersion achieved of the metallic species, as demonstrated by XPS measurements. In addition, the dendritic nanoarchitecture promotes the outward growth of large carbon deposits, thus attenuating deactivation. Consequently, the dendritic catalysts retained significant activity even after carbon/catalyst ratios as high as 5.7 w/w for the Co-Al-MFI (d) sample. Moreover, in fixed-bed tests, they showed strong stability and maintained a rather constant methane conversion and high selectivity for hydrogen over time on stream.
description: The present work received funding from the European Research Council under the European Union's H2020 research and innovation program under the grant agreement No. 101021502 (TODENZE Project). It reflects only the author's view and the Agency ERCEA is not responsible for any use that may be made of the information it contains. Authors also acknowledge Centro Nacional de Microscopía Electrónica (CNME) for the 200 kV TEM images and Universidad de Málaga for the XPS analyses.
DOI: 10.15468/dl.zs5tbh
title: Occurrence Download

description: A dataset containing 525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polyplacophora)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((90 0,120 0,120 30,90 30,90 0))"
 ]
}

 The dataset includes 525 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012640-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxn4wq
title: Occurrence Download

description: A dataset containing 847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polyplacophora)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 0,150 0,150 30,120 30,120 0))"
 ]
}

 The dataset includes 847 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012639-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kktfcu
title: Occurrence Download

description: A dataset containing 3215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phleum phleoides",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3215 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009403-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vveu7r
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phleum phleoides",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009402-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17182/hepdata.130818.v2/t16
title: "Table 16" of "Search for a new Z' gauge boson in $4\mu$ events with the ATLAS experiment"

description: The transverse momentum $p_{T}$ distributions for each muon (ordered with $p_{T}$ from (a) to (d)). In addition to the major background from the SM $Z(Z^*)\rightarrow 4\mu$ production, other backgrounds, including 4$\mu$ events containing non-prompt muons estimated from data, and from $ttV$, $VVV$, and Higgs boson production processes, are included in the plots. Examples of the Z' signal from $pp\rightarrow Z'\mu^+\mu^- \rightarrow 4\mu$ process with masses of 15 and 51 GeV are also shown in the plots.
description: This paper presents a search for a new $Z'$ vector gauge boson with the ATLAS experiment at the Large Hadron Collider using $pp$ collision data collected at $\sqrt{s} = 13$ TeV, corresponding to an integrated luminosity of 139 fb$^{-1}$.The new gauge boson $Z'$ is predicted by $L_{\mu}-L_{\tau}$ models to address observed phenomena that can not be explained by the Standard Model.The search examines the four-muon (4$\mu$) final state, using a deep learning neural network classifier to separate the $Z'$ signal from the Standard Model background events.The di-muon invariant masses in the $4\mu$ events are used to extract the $Z'$ resonance signature.No significant excess of events is observed over the predicted background.Upper limits at a 95% confidence level on the $Z'$ production cross-section times the decay branching fraction of $pp \rightarrow Z'\mu\mu \rightarrow 4\mu$ are set from 0.31 to 4.3 fb for the $Z'$ mass ranging from 5 to 81 GeV.The corresponding common coupling strengths, $g_{Z'}$, of the $Z'$ boson to the second and third generation leptons above 0.003 -- 0.2 have been excluded.
DOI: 10.17182/hepdata.130818.v2/t17
title: "Table 17" of "Search for a new Z' gauge boson in $4\mu$ events with the ATLAS experiment"

description: The transverse momentum $p_{T}$ distributions for each muon (ordered with $p_{T}$ from (a) to (d)). In addition to the major background from the SM $Z(Z^*)\rightarrow 4\mu$ production, other backgrounds, including 4$\mu$ events containing non-prompt muons estimated from data, and from $ttV$, $VVV$, and Higgs boson production processes, are included in the plots. Examples of the Z' signal from $pp\rightarrow Z'\mu^+\mu^- \rightarrow 4\mu$ process with masses of 15 and 51 GeV are also shown in the plots.
description: This paper presents a search for a new $Z'$ vector gauge boson with the ATLAS experiment at the Large Hadron Collider using $pp$ collision data collected at $\sqrt{s} = 13$ TeV, corresponding to an integrated luminosity of 139 fb$^{-1}$.The new gauge boson $Z'$ is predicted by $L_{\mu}-L_{\tau}$ models to address observed phenomena that can not be explained by the Standard Model.The search examines the four-muon (4$\mu$) final state, using a deep learning neural network classifier to separate the $Z'$ signal from the Standard Model background events.The di-muon invariant masses in the $4\mu$ events are used to extract the $Z'$ resonance signature.No significant excess of events is observed over the predicted background.Upper limits at a 95% confidence level on the $Z'$ production cross-section times the decay branching fraction of $pp \rightarrow Z'\mu\mu \rightarrow 4\mu$ are set from 0.31 to 4.3 fb for the $Z'$ mass ranging from 5 to 81 GeV.The corresponding common coupling strengths, $g_{Z'}$, of the $Z'$ boson to the second and third generation leptons above 0.003 -- 0.2 have been excluded.
DOI: 10.17182/hepdata.130818.v2/t18
title: "Table 18" of "Search for a new Z' gauge boson in $4\mu$ events with the ATLAS experiment"

description: The transverse momentum $p_{T}$ distributions for each muon (ordered with $p_{T}$ from (a) to (d)). In addition to the major background from the SM $Z(Z^*)\rightarrow 4\mu$ production, other backgrounds, including 4$\mu$ events containing non-prompt muons estimated from data, and from $ttV$, $VVV$, and Higgs boson production processes, are included in the plots. Examples of the Z' signal from $pp\rightarrow Z'\mu^+\mu^- \rightarrow 4\mu$ process with masses of 15 and 51 GeV are also shown in the plots.
description: This paper presents a search for a new $Z'$ vector gauge boson with the ATLAS experiment at the Large Hadron Collider using $pp$ collision data collected at $\sqrt{s} = 13$ TeV, corresponding to an integrated luminosity of 139 fb$^{-1}$.The new gauge boson $Z'$ is predicted by $L_{\mu}-L_{\tau}$ models to address observed phenomena that can not be explained by the Standard Model.The search examines the four-muon (4$\mu$) final state, using a deep learning neural network classifier to separate the $Z'$ signal from the Standard Model background events.The di-muon invariant masses in the $4\mu$ events are used to extract the $Z'$ resonance signature.No significant excess of events is observed over the predicted background.Upper limits at a 95% confidence level on the $Z'$ production cross-section times the decay branching fraction of $pp \rightarrow Z'\mu\mu \rightarrow 4\mu$ are set from 0.31 to 4.3 fb for the $Z'$ mass ranging from 5 to 81 GeV.The corresponding common coupling strengths, $g_{Z'}$, of the $Z'$ boson to the second and third generation leptons above 0.003 -- 0.2 have been excluded.
DOI: 10.17182/hepdata.130818.v2/t19
title: "Table 19" of "Search for a new Z' gauge boson in $4\mu$ events with the ATLAS experiment"

description: Kinematic distributions of the pre-selected $4\mu$ events. The plots (a) to (d) are the $\eta$ distributions of the 4 muons ($p_{T}$ ordered). In addition to the major background from the SM $Z(Z^*)\rightarrow 4\mu$ production, other backgrounds, including 4$\mu$ events containing non-prompt muons estimated from data, and from $ttV$, $VVV$, and Higgs boson production processes, are included in the plots. Examples of the Z' signal from $pp\rightarrow Z'\mu^+\mu^- \rightarrow 4\mu$ process with masses of 15 and 51 GeV are also shown in the plots.
description: This paper presents a search for a new $Z'$ vector gauge boson with the ATLAS experiment at the Large Hadron Collider using $pp$ collision data collected at $\sqrt{s} = 13$ TeV, corresponding to an integrated luminosity of 139 fb$^{-1}$.The new gauge boson $Z'$ is predicted by $L_{\mu}-L_{\tau}$ models to address observed phenomena that can not be explained by the Standard Model.The search examines the four-muon (4$\mu$) final state, using a deep learning neural network classifier to separate the $Z'$ signal from the Standard Model background events.The di-muon invariant masses in the $4\mu$ events are used to extract the $Z'$ resonance signature.No significant excess of events is observed over the predicted background.Upper limits at a 95% confidence level on the $Z'$ production cross-section times the decay branching fraction of $pp \rightarrow Z'\mu\mu \rightarrow 4\mu$ are set from 0.31 to 4.3 fb for the $Z'$ mass ranging from 5 to 81 GeV.The corresponding common coupling strengths, $g_{Z'}$, of the $Z'$ boson to the second and third generation leptons above 0.003 -- 0.2 have been excluded.
DOI: 10.17182/hepdata.130818.v2/t20
title: "Table 20" of "Search for a new Z' gauge boson in $4\mu$ events with the ATLAS experiment"

description: Kinematic distributions of the pre-selected $4\mu$ events. The plots (a) to (d) are the $\eta$ distributions of the 4 muons ($p_{T}$ ordered). In addition to the major background from the SM $Z(Z^*)\rightarrow 4\mu$ production, other backgrounds, including 4$\mu$ events containing non-prompt muons estimated from data, and from $ttV$, $VVV$, and Higgs boson production processes, are included in the plots. Examples of the Z' signal from $pp\rightarrow Z'\mu^+\mu^- \rightarrow 4\mu$ process with masses of 15 and 51 GeV are also shown in the plots.
description: This paper presents a search for a new $Z'$ vector gauge boson with the ATLAS experiment at the Large Hadron Collider using $pp$ collision data collected at $\sqrt{s} = 13$ TeV, corresponding to an integrated luminosity of 139 fb$^{-1}$.The new gauge boson $Z'$ is predicted by $L_{\mu}-L_{\tau}$ models to address observed phenomena that can not be explained by the Standard Model.The search examines the four-muon (4$\mu$) final state, using a deep learning neural network classifier to separate the $Z'$ signal from the Standard Model background events.The di-muon invariant masses in the $4\mu$ events are used to extract the $Z'$ resonance signature.No significant excess of events is observed over the predicted background.Upper limits at a 95% confidence level on the $Z'$ production cross-section times the decay branching fraction of $pp \rightarrow Z'\mu\mu \rightarrow 4\mu$ are set from 0.31 to 4.3 fb for the $Z'$ mass ranging from 5 to 81 GeV.The corresponding common coupling strengths, $g_{Z'}$, of the $Z'$ boson to the second and third generation leptons above 0.003 -- 0.2 have been excluded.
DOI: 10.17182/hepdata.130818.v2/t21
title: "Table 21" of "Search for a new Z' gauge boson in $4\mu$ events with the ATLAS experiment"

description: Kinematic distributions of the pre-selected $4\mu$ events. The plots (a) to (d) are the $\eta$ distributions of the 4 muons ($p_{T}$ ordered). In addition to the major background from the SM $Z(Z^*)\rightarrow 4\mu$ production, other backgrounds, including 4$\mu$ events containing non-prompt muons estimated from data, and from $ttV$, $VVV$, and Higgs boson production processes, are included in the plots. Examples of the Z' signal from $pp\rightarrow Z'\mu^+\mu^- \rightarrow 4\mu$ process with masses of 15 and 51 GeV are also shown in the plots.
description: This paper presents a search for a new $Z'$ vector gauge boson with the ATLAS experiment at the Large Hadron Collider using $pp$ collision data collected at $\sqrt{s} = 13$ TeV, corresponding to an integrated luminosity of 139 fb$^{-1}$.The new gauge boson $Z'$ is predicted by $L_{\mu}-L_{\tau}$ models to address observed phenomena that can not be explained by the Standard Model.The search examines the four-muon (4$\mu$) final state, using a deep learning neural network classifier to separate the $Z'$ signal from the Standard Model background events.The di-muon invariant masses in the $4\mu$ events are used to extract the $Z'$ resonance signature.No significant excess of events is observed over the predicted background.Upper limits at a 95% confidence level on the $Z'$ production cross-section times the decay branching fraction of $pp \rightarrow Z'\mu\mu \rightarrow 4\mu$ are set from 0.31 to 4.3 fb for the $Z'$ mass ranging from 5 to 81 GeV.The corresponding common coupling strengths, $g_{Z'}$, of the $Z'$ boson to the second and third generation leptons above 0.003 -- 0.2 have been excluded.
DOI: 10.17182/hepdata.130818.v2/t22
title: "Table 22" of "Search for a new Z' gauge boson in $4\mu$ events with the ATLAS experiment"

description: Kinematic distributions of the pre-selected $4\mu$ events. The plots (a) to (d) are the $\eta$ distributions of the 4 muons ($p_{T}$ ordered). In addition to the major background from the SM $Z(Z^*)\rightarrow 4\mu$ production, other backgrounds, including 4$\mu$ events containing non-prompt muons estimated from data, and from $ttV$, $VVV$, and Higgs boson production processes, are included in the plots. Examples of the Z' signal from $pp\rightarrow Z'\mu^+\mu^- \rightarrow 4\mu$ process with masses of 15 and 51 GeV are also shown in the plots.
description: This paper presents a search for a new $Z'$ vector gauge boson with the ATLAS experiment at the Large Hadron Collider using $pp$ collision data collected at $\sqrt{s} = 13$ TeV, corresponding to an integrated luminosity of 139 fb$^{-1}$.The new gauge boson $Z'$ is predicted by $L_{\mu}-L_{\tau}$ models to address observed phenomena that can not be explained by the Standard Model.The search examines the four-muon (4$\mu$) final state, using a deep learning neural network classifier to separate the $Z'$ signal from the Standard Model background events.The di-muon invariant masses in the $4\mu$ events are used to extract the $Z'$ resonance signature.No significant excess of events is observed over the predicted background.Upper limits at a 95% confidence level on the $Z'$ production cross-section times the decay branching fraction of $pp \rightarrow Z'\mu\mu \rightarrow 4\mu$ are set from 0.31 to 4.3 fb for the $Z'$ mass ranging from 5 to 81 GeV.The corresponding common coupling strengths, $g_{Z'}$, of the $Z'$ boson to the second and third generation leptons above 0.003 -- 0.2 have been excluded.
DOI: 10.25549/vercoutere-ouc110610480
title: Woman lying on her back on blanket plus word salad

description: One orange nude female depicted down to her ankles with brown hair lying on her back on a purple balnket with pink, green,and turquoise designs, a green blanket, and a turquoise blanket; body stretches the entire width of the page; remainder of the page is blank with a brief word salad "Dr.St Queen Elizabiteh Olgas WBJ Wiitas LMD. See description of 347 for OT notes.