cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rvvh5m
title: Occurrence Download

description: A dataset containing 334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10.54254 40.38418,0.06860 40.38418,0.06860 44.62682,-10.54254 44.62682,-10.54254 40.38418))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Culcita macrocarpa C.Presl"
 ]
}

 The dataset includes 334 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013543-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14140080
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17566359
title: Svalbox-DOM_2024-0025

description: Model description: DOM of Hyrnekammen in Hornsund, close to Treskelodden and Hyrnebreen.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.2.1 build 20641).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.17566358
title: Svalbox-DOM_2024-0025

description: Model description: DOM of Hyrnekammen in Hornsund, close to Treskelodden and Hyrnebreen.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.2.1 build 20641).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.11349483
title: Svalbox-DOM_2024-0016

description: Model description: Model of the Stubendorffbreen glacier front in Snaddbukta.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.11349484
title: Svalbox-DOM_2024-0016

description: Model description: Model of the Stubendorffbreen glacier front in Snaddbukta.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.11350962
title: Svalbox-DOM_2024-0017

description: Model description: Heavily crevassed area on Mittag-Lefflerbreen near Trikolorfjellet.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.11350961
title: Svalbox-DOM_2024-0017

description: Model description: Heavily crevassed area on Mittag-Lefflerbreen near Trikolorfjellet.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.15468/dl.r7tq35
title: Occurrence Download

description: A dataset listing the 242 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-5.4823 36.11497,-5.49008 36.11531,-5.49555 36.11274,-5.49243 36.11217,-5.48895 36.11472,-5.48694 36.11404,-5.48173 36.11451,-5.4823 36.11497)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 242 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050979-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17920805
title: The Geometric Foundation of the Proton–Electron Mass Ratio in G-MaTT: A Twistor Volume Approach

description: Abstract  

In Generalized Mass as Twisted Time (G-MaTT), masses emerge as geometric invariants from phase-diffusion operators on compact manifolds in twistor space. We provide a first-principles foundation for the proton–electron mass ratio \( m_p / m_e \approx 1836 \), showing it arises naturally from the ratio of Kähler volumes for baryonic solitons versus leptonic excitations. The leading term derives from the normalized volume of a 5-dimensional phase manifold \(\Sigma_5\), yielding approximately \( 6\pi^5 \approx 1836.118 \), with perturbative corrections from anomaly-free embeddings. This approach emphasizes the geometric structure—twistor embeddings, holonomy, and phase stability—rather than numerical fitting, offering a unified basis for fermion mass hierarchies without adjustable parameters. The close alignment with the observed value supports G-MaTT's core premise: particle masses are eigenvalues of topological phase geometries.
DOI: 10.5281/zenodo.17920806
title: The Geometric Foundation of the Proton–Electron Mass Ratio in G-MaTT: A Twistor Volume Approach

description: Abstract  

In Generalized Mass as Twisted Time (G-MaTT), masses emerge as geometric invariants from phase-diffusion operators on compact manifolds in twistor space. We provide a first-principles foundation for the proton–electron mass ratio \( m_p / m_e \approx 1836 \), showing it arises naturally from the ratio of Kähler volumes for baryonic solitons versus leptonic excitations. The leading term derives from the normalized volume of a 5-dimensional phase manifold \(\Sigma_5\), yielding approximately \( 6\pi^5 \approx 1836.118 \), with perturbative corrections from anomaly-free embeddings. This approach emphasizes the geometric structure—twistor embeddings, holonomy, and phase stability—rather than numerical fitting, offering a unified basis for fermion mass hierarchies without adjustable parameters. The close alignment with the observed value supports G-MaTT's core premise: particle masses are eigenvalues of topological phase geometries.
DOI: 10.15468/dl.fnfg53
title: Occurrence Download

description: A dataset containing 28316 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spartina anglica"
 ]
}

 The dataset includes 28316 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050984-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bc5nd
title: Occurrence Download

description: A dataset containing 64961 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sorghum halepense"
 ]
}

 The dataset includes 64961 records from 1116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050968-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12548496
title: Genome collection of gut bacterium Ruminococcus gnavus

description: Collection of high-quality whole-genome assemblies of the gut bacterium Ruminococcus gnavus. Sequences are included as gzipped fasta files in sequences/ and functional annotations as generated by Bakta are included as well (gene_annotations/; GenBank format, GFF3, TSV and TXT). This directory also contains Panaroo files that were used in the GWAS analysis as described in the manuscript (subdirectory gene_annotations/panaroo). For isolate genomes sequenced using PacBio Circular Consensus Sequencing, methylation data are available under methylation/.

There is a metadata file describing the origin of samples, when known. With this file, genome sequences can be related back to for example the age, sex and country of the person from whom the isolate was obtained.

Finally, there is a file with md5 checksums that may be used to verify file integrity.

This dataset was generated for the project described in this preprint: https://doi.org/10.1101/2024.06.27.600998

The manuscript has been published in Nature Communications: https://doi.org/10.1038/s41467-025-56449-x

Changelog:

Version 5.1:

- includes panaroo file pan_genome_reference.fa with the nucleotide sequences of all the genes

Version 5:

 - includes panaroo pangenome analysis files, which may be used to study the candidate genes identified in the GWAS

Version 4.1:

 - has an updated metadata file including ENA accession numbers for the assemblies generated in this project. Version 4.1 has the public 'GCA' accession numbers for assemblies, rather than the internal 'ERZ' numbers which were in version 4.
DOI: 10.5281/zenodo.17920699
title: Genome collection of gut bacterium Ruminococcus gnavus

description: Collection of high-quality whole-genome assemblies of the gut bacterium Ruminococcus gnavus. Sequences are included as gzipped fasta files in sequences/ and functional annotations as generated by Bakta are included as well (gene_annotations/; GenBank format, GFF3, TSV and TXT). This directory also contains Panaroo files that were used in the GWAS analysis as described in the manuscript (subdirectory gene_annotations/panaroo). For isolate genomes sequenced using PacBio Circular Consensus Sequencing, methylation data are available under methylation/.

There is a metadata file describing the origin of samples, when known. With this file, genome sequences can be related back to for example the age, sex and country of the person from whom the isolate was obtained.

Finally, there is a file with md5 checksums that may be used to verify file integrity.

This dataset was generated for the project described in this preprint: https://doi.org/10.1101/2024.06.27.600998

The manuscript has been published in Nature Communications: https://doi.org/10.1038/s41467-025-56449-x

Changelog:

Version 5.1:

- includes panaroo file pan_genome_reference.fa with the nucleotide sequences of all the genes

Version 5:

 - includes panaroo pangenome analysis files, which may be used to study the candidate genes identified in the GWAS

Version 4.1:

 - has an updated metadata file including ENA accession numbers for the assemblies generated in this project. Version 4.1 has the public 'GCA' accession numbers for assemblies, rather than the internal 'ERZ' numbers which were in version 4.
DOI: 10.5281/zenodo.17920865
title: TRANSLATION PROBLEMS OF EUPHEMISMS IN THE ENGLISH AND UZBEK LANGUAGES

description: Euphemisms are indispensable linguistic devices employed to soften, obscure, or socially sanitize concepts that may be considered taboo, unpleasant, or socially undesirable. Their translation across languages is particularly challenging because euphemisms do not function merely as lexical substitutes but as culturally embedded pragmatic tools. This paper provides a comprehensive comparative analysis of euphemisms in English and Uzbek, focusing on translation problems arising from cultural asymmetry, semantic divergence, and differing politeness conventions. A corpus of 440 euphemistic expressions extracted from literary texts, political discourse, digital media, and spoken interactions forms the empirical basis of the analysis. Findings reveal that literal translation frequently eliminates the intended pragmatic softening, resulting in loss of politeness, distortion of meaning, or cultural inappropriateness. Functional equivalence, cultural substitution, descriptive translation, and calquing are found to be the most effective translation strategies. The study contributes to the theoretical and practical understanding of euphemism translation between languages with different sociolinguistic and cultural systems.
DOI: 10.5281/zenodo.17920866
title: TRANSLATION PROBLEMS OF EUPHEMISMS IN THE ENGLISH AND UZBEK LANGUAGES

description: Euphemisms are indispensable linguistic devices employed to soften, obscure, or socially sanitize concepts that may be considered taboo, unpleasant, or socially undesirable. Their translation across languages is particularly challenging because euphemisms do not function merely as lexical substitutes but as culturally embedded pragmatic tools. This paper provides a comprehensive comparative analysis of euphemisms in English and Uzbek, focusing on translation problems arising from cultural asymmetry, semantic divergence, and differing politeness conventions. A corpus of 440 euphemistic expressions extracted from literary texts, political discourse, digital media, and spoken interactions forms the empirical basis of the analysis. Findings reveal that literal translation frequently eliminates the intended pragmatic softening, resulting in loss of politeness, distortion of meaning, or cultural inappropriateness. Functional equivalence, cultural substitution, descriptive translation, and calquing are found to be the most effective translation strategies. The study contributes to the theoretical and practical understanding of euphemism translation between languages with different sociolinguistic and cultural systems.
DOI: 10.15468/dl.rq2dme
title: Occurrence Download

description: A dataset containing 24319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acinonyx jubatus, Aeretes melanopterus, Aeromys tephromelas, Aethalops alecto, Ailuropoda melanoleuca, Ailurus fulgens, Alexandromys fortis, Alexandromys limnophilus, Alticola stoliczkanus, Anathana ellioti, Anourosorex assamensis, Anourosorex schmidi, Anourosorex squamipes, Antilope cervicapra, Apodemus agrarius, Apodemus chevrieri, Apodemus draco, Apodemus gurkha, Apodemus latronum, Apodemus pallipes, Apodemus peninsulae, Arctictis binturong, Arctogalidia trivirgata, Arctonyx albogularis, Arctonyx collaris, Arielulus circumdatus, Arielulus societatis, Aselliscus dongbacanus, Aselliscus stoliczkanus, Atherurus macrourus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 24319 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050985-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15869239
title: Earth's lower mantle predominated by ferric iron-rich Bridgmanite inferred from high pressure elasticity measurements
DOI: 10.5281/zenodo.17920776
title: Earth's lower mantle predominated by ferric iron-rich Bridgmanite inferred from high pressure elasticity measurements
DOI: 10.5281/zenodo.17100235
title: Optimization of Extraction Process and Analysis of In Vitro Antioxidant Capacity of Selenoproteins from Cynanchum thesioides
DOI: 10.5281/zenodo.17920873
title: Optimization of Extraction Process and Analysis of In Vitro Antioxidant Capacity of Selenoproteins from Cynanchum thesioides
DOI: 10.15468/dl.xzm2jd
title: Occurrence Download

description: A dataset containing 16968 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Antigonon leptopus"
 ]
}

 The dataset includes 16968 records from 499 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050988-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ah4gye
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Syrmaticus ellioti (Swinhoe, 1872)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 107 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020516-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qctd49
title: Occurrence Download

description: A dataset containing 804 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limnonectes modestus (Boulenger, 1882)"
 ]
}

 The dataset includes 804 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073004-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j68h3x
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-73.49579 -2.73285,-70.43884 -3.31238,-70.43884 -1.23596,-74.31702 -1.23596,-73.49579 -2.73285))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Psarocolius bifasciatus (Spix, 1824)"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085623-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.