cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23641/asha.26524717.v1
title: Coordination between respiration and swallowing (Xu et al., 2024)

description: <b>Purpose: </b>The purpose of the present study was to characterize the differences between respiration and swallowing in patients with dysphagia after cervical spinal cord injury (CSCI) and to explore the underlying physiological changes.<b>Method:</b> A total of 95 participants were recruited for bedside swallowing evaluation followed by a flexible endoscopic evaluation of swallowing and surface electromyography with a thermocouple nasal airflow sensor examination: 32 with dysphagia, 33 without dysphagia, and 30 healthy controls. The differences in respiratory patterns, swallowing apnea duration (SAD), inspiratory–expiratory ratio, and swallowing efficiency were observed among healthy adults, CSCI patients with and without dysphagia after CSCI.<b>Results:</b> Compared with those of healthy controls and patients without dysphagia after CSCI, the postswallow respiratory pattern of patients with dysphagia after CSCI was an inspiratory pattern, and the SAD was significantly shorter in patients with dysphagia after CSCI (<i>p</i> &lt; .001). Additionally, the expiratory time in patients with dysphagia was significantly shorter than the inspiratory time, and the swallowing efficiency was reduced, requiring multiple swallows. Moreover, the index of SAD was statistically significant for predicting the development of dysphagia in patients with CSCI (<i>p</i> &lt; .001).<b>Conclusion:</b> Patients with CSCI have an inspiratory pattern after swallowing, and the SAD is significantly reduced; SAD can be used as the predictor of dysphagia in patients after CSCI; the pattern of coordination between respiration and swallowing in patients with dysphagia after CSCI is different from that of healthy controls and patients without dysphagia after CSCI.<b>Supplemental Material S1.</b> Bedside Swallowing Evaluation (BSE).<b>Supplemental Material S2.</b> Patients’ demographic and clinical characteristics and data of parameters related to the coordination between respiration and swallowing.Xu, X., Zhang, Q., Xie, Y., Yang, D., Gao, F., Yuan, Y., Zhang, Y., & Li, J. (2024). Coordination between respiration and swallowing in patients with dysphagia after cervical spinal cord injury: An observational case–control study. <i>American Journal of Speech-Language Pathology</i>, <i>33</i>(5), 2572–2581. https://doi.org/10.1044/2024_AJSLP-24-00135
DOI: 10.6084/m9.figshare.19077665.v1
title: OCT images of Apple and Persimmon leaves

description: OCT images of Apple and Persimmon leaves used in this study
DOI: 10.17632/9t98ht5jfb
title: Lack of reproducibility of molecular phylogenetic analysis of Cyclopoida

description: Supplementary material for: Mikhailov, K.V., Ivanenko, V.N. (2019). https://doi.org/10.​1016/​j.​ympev.​2019.​106574 Funding: The reanalysis of the dataset was conducted with support of the Russian Foundation for Basic Research (grants #18-04-01192).
DOI: 10.17632/njgkxdzx73
title: Tree mortality and topkill in resprouting species in dry sclerophyll forest

description: Observations of stem diameter, bark thickness and resprouting in burnt and unburnt eucalypt forests. A description of the data can be found in: https://doi.org/10.1016/j.foreco.2020.118385.
DOI: 10.17632/vysny724mw
title: Risk prediction of excessive gestational weight gain based on a nomogram model

description: Background: Excessive Gestational Weight Gain is a global public health problem with serious and long-term effects on maternal and offspring health. Early identification of at-risk groups and interventions is crucial for controlling weight gain and reducing the incidence of excessive gestational weight gain. Currently, tools for predicting the risk of excessive gestational weight gain are lacking in China. This study aimed to develop a risk-prediction model and screening tool to identify high-risk groups in the early stages.
Methods: A total of 306 pregnant women were randomly selected who underwent regular obstetric checkups at a tertiary-level hospital in China between January and March 2023.Logistic regression analysis was used to construct the risk-prediction model. The goodness of fit of the model was assessed using the Hosmer-Lemeshow test, and the predictive performance was evaluated using the area under the receiver operating characteristic (ROC) curve, calibration plots, and k-fold cross-validation. R4.3.1 software was used to create a nomogram.
Results: The prevalence of excessive gestational weight gain was 50.32%. Logistic regression analysis revealed that pre-pregnancy overweight (OR=2.563, 95%CI:1.043- 6.299), obesity (OR=4.116, 95%CI:1.396-12.141), eating in front of a screen (OR=6.230, 95%CI:2.753-14.097); frequency of weekly consumption of sugar-sweetened beverages/ desserts/western fast food(OR=1.948,95%CI:1.363- 2.785); and pregnancy body image (OR=1.030, 95%CI:1.014 -1.047) were risk factors for excessive gestational weight gain.Parity (OR=0.453, 95%CI:0.275 -0.740),protective motivation to manage pregnancy body mass (OR=0.979, 95%CI:0.958-1) and the time of daily moderate- intensity physical activity (OR=0.228, 95%CI:0.113-0.461) were protective factors against excessive gestational weight gain. The area under the ROC curve of the model was 0.885, the mean value of ten-fold cross-validation was 0.857 for AUC.
Conclusion: The risk-prediction model developed in this study proved to be effective, providing a valuable basis for early identification and precise intervention in individuals at risk of excessive gestational weight gain.
DOI: 10.17632/znwx5skkhd
title: Data highlighting housekeeping gene variability during chikungunya virus infection

description: The data set represents the effect of chikungunya virus infection on the expression of five classical internal reference genes GusB, Beta-actin, HPRT, 18S rRNA and GAPDH. These genes are a part of crucial cellular processes. Usually, these genes demonstrate minimum variation in their expression unless some external stress is applied to the cell. Due to this characteristic, they are commonly used as reference genes for normalizing qPCR data. Hence, the objective of the study is to identify the suitable reference gene for gene expression studies during chikungunya virus infection.
Table1 mentions the sequence of primers used in the study. Table 2 demonstrates the efficiency of the primers used, which was determined by CFX Manager Software by plotting the standard curve. The table2 also mentions the Ct values at different dilutions (10-3, 10-4, 10-5) and the slope of standard curve calculated by the software. Table3 contains the Ct values of the uninfected (Control) and infected (Virus) samples and the fold change of different housekeeping genes of three biological replicates. Fig.1 shows the fold change (mentioned in Table 2) in the expression of housekeeping genes during chikungunya virus infection.
DOI: 10.6084/m9.figshare.27141312.v2
title: From Context to Text

description: context and context
DOI: 10.6084/m9.figshare.28730915.v1
title: VR vs Traditional Training: A Comparative Dataset on Student Pilot Performance

description: Thirty student pilots (ages 18–21) volunteered for a quasi-experimental study comparing traditional and VR-based flight training. Participants were divided into a control group (classroom training), an experimental group (VR training), and a focus group.The experimental group completed a VR flight session prior to their first real flight, while the control group received only traditional instruction.Data collected included:Pretest and posttest scores (before the real flight)Real flight performance marksPost-flight interviews with experimental participantsFocus group transcripts with researchers and flight instructors
DOI: 10.17632/4896hc3w26
title: Appendix Efficacy and safety of treatments in cutaneous polyarteritis nodosa: a French observational retrospective study

description: Supplemental Table 1 Clinical and biological characteristics of patients with cutaneous polyarteritis nodosa (cPAN) at baseline (n=68). Supplemental Table 2 Univariable and multivariable analysis of factors associated with prescription of a conventional immunosuppressant, a biologic agent or systemic glucocorticoids at any time. Supplemental Table 3 Adverse events retrospectively identified in patients with cPAN by treatment regimen.
DOI: 10.17632/673dhg48h5
title: The second best choice in habitat selection of antlion larvae (Neuroptera: Myrmeleontidae)

description: We studied habitat selection by larvae of two antlion species, Euroleon nostras and Myrmeleon formicarius, concerning the size of sand grain and moisture. The choice of optimal grain size is known in both species, but it remains unknown how larvae choose when the optimal substrate is unavailable.
DOI: 10.15156/bio/sh1379913.10fu
title: SH1379913.10FU

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/sh1379915.10fu
title: SH1379915.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.mfwfpg
title: Occurrence Download

description: A dataset containing 35366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calanus simillimus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35366 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005751-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1379918.10fu
title: SH1379918.10FU

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/sh1379919.10fu
title: SH1379919.10FU

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/sh1379923.10fu
title: SH1379923.10FU

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/sh1379926.10fu
title: SH1379926.10FU

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/sh1379927.10fu
title: SH1379927.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.83cc2h
title: Occurrence Download

description: A dataset containing 555 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Philippines, China, India, Viet Nam, Myanmar, Lao People’s Democratic Republic, Cambodia)",
 "TaxonKey is Pinus kesiya"
 ]
}

 The dataset includes 555 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029711-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18700801
title: msPurity / msPurityData -  mass spectrometry fragmentation spectral library (bioconductor)

description: This SQLite database contains a mass spectrometry fragmentation spectral library generated with msp2db (https://msp2db.readthedocs.io/en/latest/) using spectra from MassBank, GNPS, LipidBlast and HMDB.

It provides the default spectral library used by the spectralMatching functionality in msPurity R package (https://bioconductor.org/packages/msPurity). The underlying library content was obtained from MoNA (http://mona.fiehnlab.ucdavis.edu/downloads), downloaded on 5 November 2018.

Previously, this database was distributed via the Bioconductor package msPurityData (https://bioconductor.org/packages/msPurityData); following changes to Bioconductor policies on large data files, it is now hosted on Zenodo.The original MoNA content is licensed under CC BY 4.0. This derived database is redistributed under the same licence.
DOI: 10.5281/zenodo.18700802
title: msPurity / msPurityData -  mass spectrometry fragmentation spectral library (bioconductor)

description: This SQLite database contains a mass spectrometry fragmentation spectral library generated with msp2db (https://msp2db.readthedocs.io/en/latest/) using spectra from MassBank, GNPS, LipidBlast and HMDB.

It provides the default spectral library used by the spectralMatching functionality in msPurity R package (https://bioconductor.org/packages/msPurity). The underlying library content was obtained from MoNA (http://mona.fiehnlab.ucdavis.edu/downloads), downloaded on 5 November 2018.

Previously, this database was distributed via the Bioconductor package msPurityData (https://bioconductor.org/packages/msPurityData); following changes to Bioconductor policies on large data files, it is now hosted on Zenodo.The original MoNA content is licensed under CC BY 4.0. This derived database is redistributed under the same licence.
DOI: 10.15468/dl.xf73sm
title: Occurrence Download

description: A dataset containing 1407338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphibia",
 "OccurrenceStatus is one of (Present)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-9.7 35.9, -9.7 43.8, 3.5 43.8, 3.5 35.9, -9.7 35.9))",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "Year is greater than or equal to 1800"
 ]
}

 The dataset includes 1407338 records from 716 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029670-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q485a7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Invasive and Introduced Species - Norway"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029713-260208012135463/datasets/export for details.
DOI: 10.15468/dl.z29arz
title: Occurrence Download

description: A dataset listing the 1331 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Swiss National Moths Databank"
 ]
}

 The dataset's 1331 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029694-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55ayht
title: Occurrence Download

description: A dataset containing 5628 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - Hawaii, United States (ver.2.0, 2022)"
 ]
}

 The dataset includes 5628 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029712-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27c2ux
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - France"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029714-260208012135463/datasets/export for details.
DOI: 10.5281/zenodo.18686096
title: Post-glacial colonisation, latitude, isolation-by-distance, and local fragmentation have shaped the genetic diversity of common toads (Bufo bufo) across Britain_Datasets_Scripts_Figs

description: The evolutionary history of many species found in Britain has been shaped by a combination of postglacial colonisation dynamics and more recent anthropogenic activity. Documenting genetic diversity is important for informing the overall conservation status of given species, and to aid in developing suitable conservation management strategies. In this study we present the first island-wide population genetic study of the toad Bufo bufo in Britain, using two mitochondrial and eight nuclear microsatellite markers which generated data for 823 animals. We found low genetic diversity and low levels of geographic structuring, and possible evidence of a two wave-colonisation to Britain from mainland Europe in the mitochondrial loci. Our microsatellite data recovered moderate genetic structuring, with evidence of recent admixture in most sampled sites. Assigned genetic clusters were only loosely associated with geography, suggesting that genetic differentiation is primarily driven by the observed isolation-by-distance rather than discrete barriers to gene flow. Levels of allelic richness decreased significantly with higher latitude and correlated positively with census size based on counts. Other genetic diversity indices and estimates of genetic effective population sizes did not correlate with population census size proxies. Our study identified sites with high genetic distinctiveness or signs of genetic erosion, and will inform the future conservation management of B. bufo across the UK.