cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19093169
title: 02_clp.zip

description: <b>Gut microbial metabolite hyodeoxycholic acid targets Toll-like receptor 4/myeloid differentiation factor 2 complex to attenuate macrophage pro-inflammatory activity and defense host against sepsis in mice</b>
DOI: 10.6084/m9.figshare.19093169.v1
title: 02_clp.zip

description: <b>Gut microbial metabolite hyodeoxycholic acid targets Toll-like receptor 4/myeloid differentiation factor 2 complex to attenuate macrophage pro-inflammatory activity and defense host against sepsis in mice</b>
DOI: 10.6084/m9.figshare.19093172
title: 01_shame.zip

description: <b>Gut microbial metabolite hyodeoxycholic acid targets Toll-like receptor 4/myeloid differentiation factor 2 complex to attenuate macrophage pro-inflammatory activity and defense host against sepsis in mice</b>
DOI: 10.6084/m9.figshare.19093172.v1
title: 01_shame.zip

description: <b>Gut microbial metabolite hyodeoxycholic acid targets Toll-like receptor 4/myeloid differentiation factor 2 complex to attenuate macrophage pro-inflammatory activity and defense host against sepsis in mice</b>
DOI: 10.6084/m9.figshare.19093178.v1
title: Chinese college students' parenting style

description: A cross-temporal meta-analysis of 143 studies that measured parenting styles with the Egna Minnen Beträffande Uppfostran (EMBU) scale from 1997 to 2018 was conducted (<i>N</i> = 67,658).
DOI: 10.6084/m9.figshare.19093178
title: Chinese college students' parenting style

description: A cross-temporal meta-analysis of 143 studies that measured parenting styles with the Egna Minnen Beträffande Uppfostran (EMBU) scale from 1997 to 2018 was conducted (<i>N</i> = 67,658).
DOI: 10.34740/kaggle/dsv/3114893
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.16908460
title: What second-language speakers can tell us about pragmatic processing

description: Upon hearing the phrase <i>Some cats meow</i>, a listener might pragmatically infer that ‘Some but not all cats meow’. This is known as a scalar implicature and it often arises when a speaker produces a weak linguistic expression instead of a stronger one. Several L2 studies claim that pragmatic inferences are generated by default and their comprehension presents no challenges to L2 learners. However, the evidence obtained from these studies largely stems from offline-based tasks that provide limited information about how scalar implicatures are processed. This study investigated scalar implicature processing among L2 speakers of English and the degree to which differences in L2 proficiency and Theory of Mind abilities would modulate pragmatic responding. The experiment used an online sentence verification paradigm that required participants to judge, among multiple control items, the veracity of under-informative sentences, such as <i>Some cats are mammals</i>, and to respond as quickly as possible. A true response to this item is indicative of a logical <i>some and perhaps all</i> reading and a false response to a pragmatic <i>some but not all</i> reading. Our results showed evidence that scalar inferences are not generated by default. The answer linked to the pragmatic reading <i>some but not all</i> took significantly longer to make relative to the answer that relies on the logical interpretation <i>some and perhaps all</i>. This processing slowdown was also significantly larger among participants with lower English proficiency. Further exploratory analyses of participants’ Theory of Mind, as measured by the Social Skill subscale in the Autism Spectrum Quotient, revealed that socially inclined participants are more likely than the socially disinclined to derive a scalar inference. These results together provide new empirical insights into how L2 learners process scalar implicatures and thus implications for processing theories in experimental pragmatics and second language acquisition.
DOI: 10.6084/m9.figshare.16908460.v1
title: What second-language speakers can tell us about pragmatic processing

description: Upon hearing the phrase <i>Some cats meow</i>, a listener might pragmatically infer that ‘Some but not all cats meow’. This is known as a scalar implicature and it often arises when a speaker produces a weak linguistic expression instead of a stronger one. Several L2 studies claim that pragmatic inferences are generated by default and their comprehension presents no challenges to L2 learners. However, the evidence obtained from these studies largely stems from offline-based tasks that provide limited information about how scalar implicatures are processed. This study investigated scalar implicature processing among L2 speakers of English and the degree to which differences in L2 proficiency and Theory of Mind abilities would modulate pragmatic responding. The experiment used an online sentence verification paradigm that required participants to judge, among multiple control items, the veracity of under-informative sentences, such as <i>Some cats are mammals</i>, and to respond as quickly as possible. A true response to this item is indicative of a logical <i>some and perhaps all</i> reading and a false response to a pragmatic <i>some but not all</i> reading. Our results showed evidence that scalar inferences are not generated by default. The answer linked to the pragmatic reading <i>some but not all</i> took significantly longer to make relative to the answer that relies on the logical interpretation <i>some and perhaps all</i>. This processing slowdown was also significantly larger among participants with lower English proficiency. Further exploratory analyses of participants’ Theory of Mind, as measured by the Social Skill subscale in the Autism Spectrum Quotient, revealed that socially inclined participants are more likely than the socially disinclined to derive a scalar inference. These results together provide new empirical insights into how L2 learners process scalar implicatures and thus implications for processing theories in experimental pragmatics and second language acquisition.
DOI: 10.34740/kaggle/dsv/3109937
title: United Nations voting database
DOI: 10.5519/qd.825b0p5s
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.19092233.v1
title: BibliometricAtaxia

description: 'ataxia.csv' es una base de datos recuperada de Scopus el día día 5 de diciembre de 2021, la cual se procesa con VOSviewer. La búsqueda consiste en aquellos documentos que contienen el texto “spinocerebellar ataxia”, al menos en sus respectivos títulos, resúmenes, o palabras claves. 'coautores.csv' y 'referencias.csv' son segmentos de la base de datos, las cuales se emplean en procesamientos estadísticos con ayuda de un código programado en R.
DOI: 10.15468/dl.ucywq2
title: Occurrence Download

description: A dataset containing 249021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Morocco",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 249021 records from 320 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052366-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqnsa3
title: Occurrence Download

description: A dataset containing 17079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Callitris glaucophylla J.Thompson & L.A.S.Johnson"
 ]
}

 The dataset includes 17079 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059708-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmgrtk
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vanilla odorata C.Presl"
 ]
}

 The dataset includes 130 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009826-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbvxbb
title: Occurrence Download

description: A dataset containing 4572 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tigridia Juss."
 ]
}

 The dataset includes 4572 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251007-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2h2x9
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Calocedrus decurrens (Torr.) Florin"
 ]
}

 The dataset includes 208 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037832-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4am7va
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euglossa williamsi Hinojosa-Díaz & Engel, 2011"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0322103-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wlxxg2
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudopiptadenia bahiana G.P.Lewis & M.P.Lima"
 ]
}

 The dataset includes 117 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009827-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dy7gpa
title: Occurrence Download

description: A dataset containing 1825 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters is less than or equal to 1000.0",
 "TaxonKey is Dysdera crocata C.L.Koch, 1838",
 "Year 1990-2020"
 ]
}

 The dataset includes 1825 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086799-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w4pjwt
title: Occurrence Download

description: A dataset containing 4572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Tigridia Juss."
 ]
}

 The dataset includes 4572 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251017-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8f3adq
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "Geometry POLYGON((-122.71619 45.83826,-120.06189 45.83826,-120.06189 47.64001,-122.71619 47.64001,-122.71619 45.83826))",
 "TaxonKey is Protozoa"
 ]
}

 The dataset includes 286 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009827-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzun89
title: Occurrence Download

description: A dataset containing 6845 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Verbena rigida Spreng."
 ]
}

 The dataset includes 6845 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065574-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24414/rob-euref-oros00hun
title: GNSS data of OROS00HUN, Oroshaza, Hungary

description: Permanent GNSS station dataset as daily RINEX files
DOI: 10.15468/dl.c62nfx
title: Occurrence Download

description: A dataset containing 717 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Turbo bruneus (Röding, 1798)"
 ]
}

 The dataset includes 717 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299113-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbipaj
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Drosera spirocalyx Rivadavia & Gonella"
 ]
}

 The dataset includes 31 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009828-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7rtj6
title: Occurrence Download

description: A dataset containing 4572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Tigridia Juss."
 ]
}

 The dataset includes 4572 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251032-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2cfesy
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vampyroteuthis infernalis Chun, 1903"
 ]
}

 The dataset includes 271 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007117-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jn4z7u
title: Occurrence Download

description: A dataset containing 517362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Colubridae"
 ]
}

 The dataset includes 517362 records from 942 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233712-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1850337.08fu
title: SH1850337.08FU

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/sh1850338.08fu
title: SH1850338.08FU

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/sh481705.07fu
title: SH481705.07FU

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/sh1850339.08fu
title: SH1850339.08FU

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/sh1850340.08fu
title: SH1850340.08FU

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/sh481706.07fu
title: SH481706.07FU

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/sh481707.07fu
title: SH481707.07FU

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/sh1850341.08fu
title: SH1850341.08FU

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.