cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3hk9hb
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pogonornis melanopterus (Peters, 1854))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 51 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298203-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5s6w3
title: Occurrence Download

description: A dataset containing 265 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Perillula reptans Maxim."
 ]
}

 The dataset includes 265 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069991-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ay2mf9
title: Occurrence Download

description: A dataset containing 645 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodium karoi",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 645 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012972-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1384280.10fu
title: SH1384280.10FU

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/sh1384283.10fu
title: SH1384283.10FU

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.18229910
title: HIGH-CONTEXT AND LOW-CONTEXT COMMUNICATION ACROSS DIGITAL AND ORAL SOCIETIES

description: This article analyzes the specific aspects of communication processes in digital and oral societies based on the theory of high-context and low-context communication. The study is based on the concept of cultural communication put forward by E. Hall and highlights the role of context, nonverbal signs, social relations, and shared experience in communication in societies based on oral traditions. Also, in digital societies, the clarity of messages, the predominance of the written form, and the open expression of information are considered as low-context communication features. The article analyzes the changes in communication forms, cultural differences, and their impact on social relations as a result of the development of digital technologies. The results of the study serve to effectively organize intercultural communication and increase communication competence in the digital environment.
DOI: 10.15156/bio/sh1384284.10fu
title: SH1384284.10FU

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.18229909
title: HIGH-CONTEXT AND LOW-CONTEXT COMMUNICATION ACROSS DIGITAL AND ORAL SOCIETIES

description: This article analyzes the specific aspects of communication processes in digital and oral societies based on the theory of high-context and low-context communication. The study is based on the concept of cultural communication put forward by E. Hall and highlights the role of context, nonverbal signs, social relations, and shared experience in communication in societies based on oral traditions. Also, in digital societies, the clarity of messages, the predominance of the written form, and the open expression of information are considered as low-context communication features. The article analyzes the changes in communication forms, cultural differences, and their impact on social relations as a result of the development of digital technologies. The results of the study serve to effectively organize intercultural communication and increase communication competence in the digital environment.
DOI: 10.15156/bio/sh1384285.10fu
title: SH1384285.10FU

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/sh1384286.10fu
title: SH1384286.10FU

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/sh1384287.10fu
title: SH1384287.10FU

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/sh1384288.10fu
title: SH1384288.10FU

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/sh1384289.10fu
title: SH1384289.10FU

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/sh1384292.10fu
title: SH1384292.10FU

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: 10.48580/ddsxj.v34
title: Isomira costessii (Bertolini, 1868) (Coleoptera, Tenebrionidae): une nouvelle espèce pour la Suisse
DOI: 10.5286/isis.e.rb2520548-2
title: Unraveling High-Temperature Deformation Mechanisms in W and Alloys for Fusion Applications

description: This proposal aims to investigate the high-temperature deformation mechanisms and thermomechanical stability of tungsten (W) and W-Re alloys – two leading candidates for structural components in fusion reactors such as ITER and DEMO. These materials must withstand extreme operating conditions, including high temperatures, neutron irradiation, and mechanical loads. While rhenium (Re) additions are known to improve ductility and possibly enhance radiation tolerance, the fundamental mechanisms that govern this behaviour, particularly under service-relevant thermal and mechanical stresses, are not fully understood. We propose to use in-situ neutron diffraction on the Engin-X instrument at four key temperatures (room temperature, 500 °C, 750 °C, and 1000 °C) during uniaxial tensile loading. Neutron diffraction uniquely allows for non-destructive, bulk measurement of lattice strains, load partitioning, and dislocation activity in dense, coarse-grained refractory alloys. These experiments will yield mechanistic insight into how Re influences defect evolution and phase stability and will provide critical validation data for micromechanical modelling. Results will also contribute directly to fusion materials development and inform future design of more complex refractory alloys.
DOI: 10.5286/isis.e.rb2520548
title: Unraveling High-Temperature Deformation Mechanisms in W and Alloys for Fusion Applications

description: This proposal aims to investigate the high-temperature deformation mechanisms and thermomechanical stability of tungsten (W) and W-Re alloys – two leading candidates for structural components in fusion reactors such as ITER and DEMO. These materials must withstand extreme operating conditions, including high temperatures, neutron irradiation, and mechanical loads. While rhenium (Re) additions are known to improve ductility and possibly enhance radiation tolerance, the fundamental mechanisms that govern this behaviour, particularly under service-relevant thermal and mechanical stresses, are not fully understood. We propose to use in-situ neutron diffraction on the Engin-X instrument at four key temperatures (room temperature, 500 °C, 750 °C, and 1000 °C) during uniaxial tensile loading. Neutron diffraction uniquely allows for non-destructive, bulk measurement of lattice strains, load partitioning, and dislocation activity in dense, coarse-grained refractory alloys. These experiments will yield mechanistic insight into how Re influences defect evolution and phase stability and will provide critical validation data for micromechanical modelling. Results will also contribute directly to fusion materials development and inform future design of more complex refractory alloys.
DOI: 10.15468/dl.pdc9vt
title: Occurrence Download

description: A dataset containing 19483616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyperaceae, Typhaceae, Juncaceae, Araceae, Pteridaceae, Begoniaceae)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 19483616 records from 5956 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024013-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ottip9
title: Replication Data for: Do conservatives really have better mental well-being than liberals? (Study 2)

description: This file provides replication data for Study 2, an experiment designed to test how people rate their mental health versus their overall mood. Question wording for the randomly assigned items follows:

TUF300a: Would you say that in general your mental health is…
 1 Excellent 
 2 Very good
 3 Good
 4 Fair
 5 Poor 

TUF300b: Would you say that in general your overall mood is…
 1 Excellent 
 2 Very good
 3 Good
 4 Fair
 5 Poor
DOI: 10.15468/dl.a9rcpk
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON((-122.62074 48.99664,-117.88771 48.96145,-117.27189 52.9203,-120.26302 53.53613,-123.4477 53.18423,-123.78201 50.36904,-123.20232 49.27687,-122.62074 48.99664))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhododendron columbianum (Piper) Harmaja"
 ]
}

 The dataset includes 316 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010235-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57907/mirri/cx7p1u
title: MIRRI0111143

description: Organism type: Bacteria ; Taxon name: Pantoea ananatis ; Collection: LMG 2667 ; Country: United States of America
DOI: 10.57907/mirri/cx7p1u/uba6ck
title: MIRRI0111143.json

description: Strain json file
DOI: 10.57907/mirri/dncbbs
title: MIRRI0111123

description: Organism type: Bacteria ; Taxon name: Carnobacterium iners ; Collection: LMG 26642
DOI: 10.57907/mirri/eijew2
title: MIRRI0111156

description: Organism type: Bacteria ; Taxon name: Achromobacter mucicolens ; Collection: LMG 26684 ; Country: United States of America
DOI: 10.57907/mirri/fzzjdu/ltzgkd
title: MIRRI0112373.json

description: Strain json file
DOI: 10.57907/mirri/g0g1xh/lnzexc
title: MIRRI0112333.json

description: Strain json file
DOI: 10.57907/mirri/gzfyie
title: MIRRI0110239

description: Organism type: Bacteria ; Taxon name: Colwellia chukchiensis ; Collection: LMG 25329
DOI: 10.57907/mirri/h85cg1/7attzd
title: MIRRI0110268.json

description: Strain json file
DOI: 10.57907/mirri/hjuigy/trhqxb
title: MIRRI0110252.json

description: Strain json file
DOI: 10.57907/mirri/kfew80/4l5jfi
title: MIRRI0110292.json

description: Strain json file
DOI: 10.57907/mirri/ltbnxl/3o4ad8
title: MIRRI0110269.json

description: Strain json file
DOI: 10.57907/mirri/osdcid
title: MIRRI0110223

description: Organism type: Bacteria ; Taxon name: Ochrobactrum anthropi ; Collection: LMG 25311 ; Country: United States of America
DOI: 10.57907/mirri/qpslgk
title: MIRRI0110677

description: Organism type: Bacteria ; Taxon name: Xanthomonas oryzae ; Collection: LMG 25984 ; Country: Burkina Faso
DOI: 10.57907/mirri/qso9xa/vskspd
title: MIRRI0111147.json

description: Strain json file
DOI: 10.57907/mirri/r64atv/ycwqyq
title: MIRRI0110235.json

description: Strain json file
DOI: 10.57907/mirri/sjwagt
title: MIRRI0110211

description: Organism type: Bacteria ; Taxon name: Aestuariibacter aggregatus ; Collection: LMG 25283 ; Country: China
DOI: 10.57907/mirri/tdrfp6/nnch8r
title: MIRRI0111193.json

description: Strain json file
DOI: 10.57907/mirri/tlqsx6/0xxyzg
title: MIRRI0111164.json

description: Strain json file
DOI: 10.57907/mirri/tmxmor/mlulc7
title: MIRRI0111135.json

description: Strain json file
DOI: 10.57907/mirri/vzuyea
title: MIRRI0111146

description: Organism type: Bacteria ; Taxon name: Polaribacter porphyrae ; Collection: LMG 26673 ; Country: Japan
DOI: 10.57907/mirri/wfvcjc
title: MIRRI0110267

description: Organism type: Bacteria ; Taxon name: Aquimarina salinaria ; Collection: LMG 25375 ; Country: China
DOI: 10.57907/mirri/yw0cqa
title: MIRRI0110253

description: Organism type: Bacteria ; Taxon name: Mucilaginibacter lappiensis ; Collection: LMG 25358 ; Country: Finland
DOI: 10.57907/mirri/z0xnmt
title: MIRRI0112345

description: Organism type: Bacteria ; Taxon name: Pseudomonas helleri ; Collection: LMG 28434 ; Country: Germany
DOI: 10.3535/4md-3el-s6s
title: Erica muscosa (Aiton) E. G. H. Oliv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/l0q-cgj-v30
title: Setaria pumila (Poir.) Roem. & Schult.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/1rgjwt
title: MIRRI0110293

description: Organism type: Bacteria ; Taxon name: Dickeya paradisiaca ; Collection: LMG 2543 ; Country: Colombia
DOI: 10.57907/mirri/7d6uz2
title: MIRRI0112133

description: Organism type: Bacteria ; Taxon name: Nesterenkonia alkaliphila ; Collection: LMG 28112
DOI: 10.57907/mirri/8zum66/bwbg32
title: MIRRI0111208.json

description: Strain json file
DOI: 10.57907/mirri/acdttj
title: MIRRI0112180

description: Organism type: Bacteria ; Taxon name: Paenalcaligenes hominis ; Collection: LMG 28179 ; Country: Sweden
DOI: 10.57907/mirri/ajp9zo
title: MIRRI0112127

description: Organism type: Bacteria ; Taxon name: Virgibacillus oceani ; Collection: LMG 28105
DOI: 10.57907/mirri/aukbsc/kvvdxr
title: MIRRI0110723.json

description: Strain json file
DOI: 10.57907/mirri/fnzklm
title: MIRRI0112134

description: Organism type: Bacteria ; Taxon name: Listeria riparia ; Collection: LMG 28119 ; Country: United States of America
DOI: 10.57907/mirri/gajcvo
title: MIRRI0112162

description: Organism type: Bacteria ; Taxon name: Burkholderia territorii ; Collection: LMG 28159 ; Country: Australia
DOI: 10.57907/mirri/hjl1hm/cz6rse
title: MIRRI0110670.json

description: Strain json file
DOI: 10.57907/mirri/htjs2p/zwkpin
title: MIRRI0110745.json

description: Strain json file
DOI: 10.57907/mirri/i43cki
title: MIRRI0110734

description: Organism type: Bacteria ; Taxon name: Francisella halioticida ; Collection: LMG 26062 ; Country: Japan
DOI: 10.57907/mirri/ioguib
title: MIRRI0110695

description: Organism type: Bacteria ; Taxon name: Pelagerythrobacter aerophilus ; Collection: LMG 26004 ; Country: South Korea
DOI: 10.57907/mirri/k6zota
title: MIRRI0110679

description: Organism type: Bacteria ; Taxon name: Xanthomonas oryzae ; Collection: LMG 25986 ; Country: Niger
DOI: 10.57907/mirri/kdblcz
title: MIRRI0112137

description: Organism type: Bacteria ; Taxon name: Listeria grandensis ; Collection: LMG 28122 ; Country: United States of America
DOI: 10.57907/mirri/lgbqoe/5u9cyb
title: MIRRI0110698.json

description: Strain json file