cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8115995.v2
title: Interventions for undergraduate and postgraduate medical learners with academic difficulties: A BEME systematic review: BEME Guide No. 56

description: <b>Background:</b> Clinical teachers often struggle to report unsatisfactory trainee performance, partly because of a lack of evidence-based remediation options. <b>Objectives:</b> To identify interventions for undergraduate (UG) and postgraduate (PG) medical learners experiencing academic difficulties, link them to a theory-based framework and provide literature-based recommendations around their use. <b>Methods:</b> This systematic review searched MEDLINE, CINAHL, EMBASE, ERIC, Education Source and PsycINFO (1990–2016) combining these concepts: medical education, professional competence/difficulty and educational support. Original research/innovation reports describing intervention(s) for UG/PG medical learners with academic difficulties were included. Data extraction employed Michie’s Behavior Change Techniques (BCT) Taxonomy and program evaluation models from Stufflebeam and Kirkpatrick. Quality appraisal used the Mixed Methods Appraisal Tool (MMAT). The authors synthesized extracted evidence by adapting the GRADE approach to formulate recommendations. <b>Results:</b> Sixty-eight articles met the inclusion criteria, most commonly addressing knowledge (66.2%), skills (53.9%) and attitudinal problems (26.2%), or learner personal issues (41.5%). The most common BCTs were <i>Shaping knowledge</i>, <i>Feedback/monitoring</i>, and <i>Repetition/substitution</i>. Quality appraisal was variable (MMAT 0–100%). A thematic content analysis identified 109 interventions (UG: <i>n</i> = 84, PG: <i>n</i> = 58), providing 24 strong, 48 moderate, 26 weak and 11 very weak recommendations. <b>Conclusion:</b> This review provides a repertoire of literature-based interventions for teaching/learning, faculty development, and research purposes.
DOI: 10.6084/m9.figshare.8115995.v1
title: Interventions for undergraduate and postgraduate medical learners with academic difficulties: A BEME systematic review: BEME guide no. 56

description: <b>Background:</b> Clinical teachers often struggle to report unsatisfactory trainee performance, partly because of a lack of evidence-based remediation options. <b>Objectives:</b> To identify interventions for undergraduate (UG) and postgraduate (PG) medical learners experiencing academic difficulties, link them to a theory-based framework and provide literature-based recommendations around their use. <b>Methods:</b> This systematic review searched MEDLINE, CINAHL, EMBASE, ERIC, Education Source and PsycINFO (1990–2016) combining these concepts: medical education, professional competence/difficulty and educational support. Original research/innovation reports describing intervention(s) for UG/PG medical learners with academic difficulties were included. Data extraction employed Michie’s Behavior Change Techniques (BCT) Taxonomy and program evaluation models from Stufflebeam and Kirkpatrick. Quality appraisal used the Mixed Methods Appraisal Tool (MMAT). The authors synthesized extracted evidence by adapting the GRADE approach to formulate recommendations. <b>Results:</b> Sixty-eight articles met the inclusion criteria, most commonly addressing knowledge (66.2%), skills (53.9%) and attitudinal problems (26.2%), or learner personal issues (41.5%). The most common BCTs were <i>Shaping knowledge</i>, <i>Feedback/monitoring</i>, and <i>Repetition/substitution</i>. Quality appraisal was variable (MMAT 0–100%). A thematic content analysis identified 109 interventions (UG: <i>n</i> = 84, PG: <i>n</i> = 58), providing 24 strong, 48 moderate, 26 weak and 11 very weak recommendations. <b>Conclusion:</b> This review provides a repertoire of literature-based interventions for teaching/learning, faculty development, and research purposes.
DOI: 10.6084/m9.figshare.8115992
title: Data file 4

description: Count file after mapping to wheat genome
DOI: 10.6084/m9.figshare.8115992.v1
title: Data file 4

description: Count file after mapping to wheat genome
DOI: 10.6084/m9.figshare.8115992.v3
title: Data file 4

description: Count file after mapping to wheat genome
DOI: 10.6084/m9.figshare.8115992.v2
title: Data file 51

description: Count file after mapping to wheat genome
DOI: 10.6084/m9.figshare.8115989
title: Data file 3

description: Count file after mapping to Ptr genome
DOI: 10.6084/m9.figshare.8115989.v1
title: Data file 3

description: Count file after mapping to Ptr genome
DOI: 10.6084/m9.figshare.8115989.v2
title: Data file 50

description: Count file after mapping to Ptr genome
DOI: 10.6084/m9.figshare.8115983
title: Data file 2

description: Description of FASTQ files (Data set 1 available at https://www.ncbi.nlm.nih.gov/bioproject/PRJNA529906)
DOI: 10.6084/m9.figshare.8115983.v1
title: Data file 2

description: Description of FASTQ files (Data set 1 available at https://www.ncbi.nlm.nih.gov/bioproject/PRJNA529906)
DOI: 10.6084/m9.figshare.8115983.v3
title: Data file 2

description: Description of FASTQ files (Data set 1 available at https://www.ncbi.nlm.nih.gov/bioproject/PRJNA529906)
DOI: 10.6084/m9.figshare.8115983.v2
title: Data file 49

description: Description of FASTQ files (Data set 1 available at https://www.ncbi.nlm.nih.gov/bioproject/PRJNA529906)
DOI: 10.6084/m9.figshare.8115971
title: 20190512 PI PPV study data repository

description: This file is data set from the results of "The effects of hemodynamic management using the trend of the perfusion index and pulse pressure variation on tissue perfusion".<br>
DOI: 10.6084/m9.figshare.8115971.v1
title: 20190512 PI PPV study data repository

description: This file is data set from the results of "The effects of hemodynamic management using the trend of the perfusion index and pulse pressure variation on tissue perfusion".<br>
DOI: 10.6084/m9.figshare.8115866
title: Exploring the optimal duration of video recording in a post-discharge e-learning platform for cardiac patients

description: The spread sheet in .csv format features data on video watching retention. Six colons contain: 1. Number of video 1-602. Name of the video3. Performer (doctor or peer-patient)4. video duration in seconds5. mean retention rate in % percentage of video watched6. Number of video viewsData are available only for videos watched 6 times or more.
DOI: 10.6084/m9.figshare.8115866.v1
title: Exploring the optimal duration of video recording in a post-discharge e-learning platform for cardiac patients

description: The spread sheet in .csv format features data on video watching retention. Six colons contain: 1. Number of video 1-602. Name of the video3. Performer (doctor or peer-patient)4. video duration in seconds5. mean retention rate in % percentage of video watched6. Number of video viewsData are available only for videos watched 6 times or more.
DOI: 10.6084/m9.figshare.8115701
title: Fig 4D Cell survivability

description: Bar graph of cell survivability numeric data
DOI: 10.6084/m9.figshare.8115701.v1
title: Cytotoxicity of PCN.xlsx

description: The data of pyocyanin cytotoxicity on Raji cells
DOI: 10.6084/m9.figshare.8115701.v2
title: Cytotoxicity of PCN.xlsx

description: The data of pyocyanin cytotoxicity on Raji cells
DOI: 10.6084/m9.figshare.8115701.v3
title: Cytotoxicity of PCN.xlsx

description: The data of pyocyanin cytotoxicity on Raji cells
DOI: 10.6084/m9.figshare.8115701.v4
title: Fig 4D Cell survivability

description: Bar graph of cell survivability numeric data
DOI: 10.6084/m9.figshare.8115701.v6
title: Fig 4D Cell survivability

description: Bar graph of cell survivability numeric data
DOI: 10.6084/m9.figshare.8115701.v5
title: Fig 4D Cell survivability

description: Bar graph of cell survivability numeric data
DOI: 10.6084/m9.figshare.8115695
title: RepeatExplorer output of Cissus quandrangularis

description: RepeatExplorer output of Cissus quandrangularis
DOI: 10.6084/m9.figshare.8115695.v1
title: RepeatExplorer output of Cissus quandrangularis

description: RepeatExplorer output of Cissus quandrangularis
DOI: 10.6084/m9.figshare.8115692
title: Models to predict coral morphological shape variables from planar area and growth form

description: Models to predict shape variables for coral colonies using planar area and growth form.<br>Model objects, plots, summary stats, etc in R to predict shape variables.<br><br>Load RDS object into R and use the predict() function using growth form and planar area (in cm2)
DOI: 10.6084/m9.figshare.8115692.v1
title: Models to predict coral morphological shape variables from planar area

description: Models to predict shape variables for coral colonies using planar area.<br>Model objects, plots, summary stats, etc in R to predict shape variables.<br><br>Load RDS object into R and use the predict() function using growth form and planar area (in cm2)
DOI: 10.6084/m9.figshare.8115677
title: LITData_CoralBenthicSurvey_LizardIsland_1995to2017

description: Coral reef benthic community line intercept transect data from Lizard Island, Australia.<br><br>Method: Line intercept transect<br>Years: 1995 - 2017Sites: 21Taxa: Scleractinian corals to species, other benthic taxa at lower taxonomic resolution.<br>Field data were collected at Lizard Island, Australia and consisted of line intercept transect (LIT) surveys of the benthic community focussing on scleractinian coral colonies, where a colony was defined as a contiguous live surface of coral. Data were collected over eight campaigns across 21 sites and a timespan of 22 years, recording 2960 colonies from 181 species representing a broad spatial, temporal and taxonomic sample (Madin et al., 2018) Two cyclones in 2014 and 2015, and the 2016 mass bleaching event occurred during the data collection period.
DOI: 10.6084/m9.figshare.8115674.v1
title: CoralColonyMorphologyData_WholeColonies_MediumToHighQuality_LaserScanned

description: Morphological data generated from 3D laser scans of coral colonies.<br>Dataset consists of 162 coral skeletons from museum collections that covered seven major growth forms and over three orders of magnitude in size, representing a broad subsample of coral morphological variation.<br><br>Date are from whole colony scans considered medium to high quality.<br>All units are in mm unless stated otherwise.<br>Sphericity, convexity, fractal dimension and packing are all dimensionless.
DOI: 10.6084/m9.figshare.8115668
title: Supplementary table S4 - KEGG annotation and KEGG module analysis

description: <i>Colobanthus quitensis</i>, KEGG analysis of differentially expressed genes, including KEGG module reconstruction and KEGG detailed annotation for all DEGs
DOI: 10.6084/m9.figshare.8115668.v2
title: Supplementary table S4 - KEGG annotation and KEGG module analysis

description: <i>Colobanthus quitensis</i>, KEGG analysis of differentially expressed genes, including KEGG module reconstruction and KEGG detailed annotation for all DEGs
DOI: 10.6084/m9.figshare.8115668.v1
title: Supplementary table 4 - KEGG annotation and KEGG module analysis

description: <i>Colobanthus quitensis</i>, KEGG analysis of differentially expressed genes, including KEGG module reconstruction and KEGG detailed annotation for all DEGs
DOI: 10.6084/m9.figshare.8114285
title: GALS_Repository.xlsx

description: This dataset is a repository available to replicate other studies
DOI: 10.6084/m9.figshare.8114264
title: Mplus Code for EA Review

description: Data and Analysis Code for Review
DOI: 10.6084/m9.figshare.8114264.v1
title: Mplus Code for EA Review

description: Data and Analysis Code for Review
DOI: 10.6084/m9.figshare.8114258
title: Sequence Typing of the clinical Saccharomyces cerevisiae isolates from the university clinics of Debrecen

description: Alignments and NEWICK tree file for five sequences obtained for the S. cerevisiae isolates of the University of Debrecen's clinics, along with locally obtained probitic isolates. Alleles have been cloned and sequenced for DE10397 to enable its separation from homozygotic isolates in the probiotic group.
DOI: 10.6084/m9.figshare.8114258.v1
title: Sequence Typing of the clinical Saccharomyces cerevisiae isolates from the university clinics of Debrecen

description: Alignments and NEWICK tree file for five sequences obtained for the S. cerevisiae isolates of the University of Debrecen's clinics, along with locally obtained probitic isolates. Alleles have been cloned and sequenced for DE10397 to enable its separation from homozygotic isolates in the probiotic group.
DOI: 10.6084/m9.figshare.8114228
title: Dataset for: Non-stationary spatiotemporal Bayesian data fusion for pollutants in the near-road environment

description: Concentrations of near-road air pollutants (NRAPs) have increased to very high levels in many urban centers around the world, particularly in developing countries. The adverse health effects of exposure to NRAPs are greater when the exposure occurs in the near-road environment as compared to background levels of pollutant concentration. Therefore, there is increasing interest in monitoring pollutant concentrations in the near-road environment. However, due to various practical limitations, monitoring pollutant concentrations near roadways and traffic sources is generally rather difficult and expensive. As an alternative, various deterministic computer models that provide predictions of pollutant concentrations in the near-road environment, such as the Research Line-source dispersion model (RLINE), have been developed. A common feature of these models is that their outputs typically display systematic biases and need to be calibrated in space and time using observed pollutant data. In this paper, we present a non-stationary Bayesian data fusion model that uses a novel dataset on monitored pollutant concentrations (NOx and PM2.5) in the near-road environment and, combining it with the RLINE model output, provides predictions at unsampled locations. The model can also be used to evaluate whether including the RLINE model output leads to improved pollutant concentration predictions, and whether the RLINE model output captures the spatial dependence structure of NRAP concentrations in the near-road environment. A defining characteristic of our model is that we model the non-stationarity in the pollutants concentrations by using a recently developed approach that includes covariates, postulated to be the driving force behind the non-stationary behavior.
DOI: 10.6084/m9.figshare.8114228.v1
title: Dataset for: Non-stationary spatiotemporal Bayesian data fusion for pollutants in the near-road environment

description: Concentrations of near-road air pollutants (NRAPs) have increased to very high levels in many urban centers around the world, particularly in developing countries. The adverse health effects of exposure to NRAPs are greater when the exposure occurs in the near-road environment as compared to background levels of pollutant concentration. Therefore, there is increasing interest in monitoring pollutant concentrations in the near-road environment. However, due to various practical limitations, monitoring pollutant concentrations near roadways and traffic sources is generally rather difficult and expensive. As an alternative, various deterministic computer models that provide predictions of pollutant concentrations in the near-road environment, such as the Research Line-source dispersion model (RLINE), have been developed. A common feature of these models is that their outputs typically display systematic biases and need to be calibrated in space and time using observed pollutant data. In this paper, we present a non-stationary Bayesian data fusion model that uses a novel dataset on monitored pollutant concentrations (NOx and PM2.5) in the near-road environment and, combining it with the RLINE model output, provides predictions at unsampled locations. The model can also be used to evaluate whether including the RLINE model output leads to improved pollutant concentration predictions, and whether the RLINE model output captures the spatial dependence structure of NRAP concentrations in the near-road environment. A defining characteristic of our model is that we model the non-stationarity in the pollutants concentrations by using a recently developed approach that includes covariates, postulated to be the driving force behind the non-stationary behavior.
DOI: 10.6084/m9.figshare.8114195
title: Model metacommunities and analysis script

description: Please see:Metacommunity-scale biodiversity regulation and the self-organized emergence of macroecological patternsJacob D. O'Sullivan et al 2018 (accepted Ecology letters May 2019)<br>
DOI: 10.6084/m9.figshare.8114195.v1
title: Example data

description: Please see:Metacommunity-scale biodiversity regulation and the self-organized emergence of macroecological patternsJacob D. O'Sullivan et al 2018 (accepted Ecology letters May 2019)<br>
DOI: 10.6084/m9.figshare.8114195.v2
title: Model metacommunities and analysis script

description: Please see:Metacommunity-scale biodiversity regulation and the self-organized emergence of macroecological patternsJacob D. O'Sullivan et al 2018 (accepted Ecology letters May 2019)<br>
DOI: 10.5281/zenodo.4002029
title: Datasets associated with paper "Heterotrophic eukaryotes show a fast-slow continuum, not a gleaner-exploiter trade-off"

description: This contains 6 data files used in the analysis of the paper "Heterotrophic eukaryotes show a fast-slow continuum, not a gleaner-exploiter trade-off", and one file describing their contents in detail. Kiorboe_and_Hirst_dataset_edited_2020_03_21.csv FoRAGE_dataset_edited_2020_03_21.csv FoRAGE_dataset_taxonomic_info_edited_2020_03_21 FoRAGE_dataset_with_outliers_raw.csv Growth_ingestion_dataset_raw.csv Litchman_2007_phytoplankton_Vmax_and_affinity_data.csv<br> The primary contents of these files are compiled parameter estimates of the clearance, ingestion and growth rates of heterotrophic organisms. These have largely been taken from two published data compilations: Kiørboe T, Hirst AG (2014) Shifts in mass scaling of respiration, feeding, and growth rates across life-form transitions in marine pelagic organisms. Am Nat 183(4):E118-30. https://doi.org/10.1086/675241 Uiterwaal SF, Lagerstrom IT, Lyon SR, DeLong JP (2018) Data paper: FoRAGE (Functional Responses from Around the Globe in all Ecosystems) database: a compilation of functional responses for consumers and parasitoids. bioRxiv doi: https://doi.org/10.1101/503334 <br> The data files are described in detail in 'Data description.txt'. Scripts to analyse this data can be found at https://doi.org/10.5281/zenodo.4002083 . The paper associated with the data and scripts, will be linked to here when published.
DOI: 10.5281/zenodo.4002028
title: Datasets associated with paper "Heterotrophic eukaryotes show a fast-slow continuum, not a gleaner-exploiter trade-off"

description: This contains 6 data files used in the analysis of the paper "Heterotrophic eukaryotes show a fast-slow continuum, not a gleaner-exploiter trade-off", and one file describing their contents in detail. Kiorboe_and_Hirst_dataset_edited_2020_03_21.csv FoRAGE_dataset_edited_2020_03_21.csv FoRAGE_dataset_taxonomic_info_edited_2020_03_21 FoRAGE_dataset_with_outliers_raw.csv Growth_ingestion_dataset_raw.csv Litchman_2007_phytoplankton_Vmax_and_affinity_data.csv<br> The primary contents of these files are compiled parameter estimates of the clearance, ingestion and growth rates of heterotrophic organisms. These have largely been taken from two published data compilations: Kiørboe T, Hirst AG (2014) Shifts in mass scaling of respiration, feeding, and growth rates across life-form transitions in marine pelagic organisms. Am Nat 183(4):E118-30. https://doi.org/10.1086/675241 Uiterwaal SF, Lagerstrom IT, Lyon SR, DeLong JP (2018) Data paper: FoRAGE (Functional Responses from Around the Globe in all Ecosystems) database: a compilation of functional responses for consumers and parasitoids. bioRxiv doi: https://doi.org/10.1101/503334 <br> The data files are described in detail in 'Data description.txt'. Scripts to analyse this data can be found at https://doi.org/10.5281/zenodo.4002083 . The paper associated with the data and scripts, will be linked to here when published.
DOI: 10.6084/m9.figshare.8114186
title: Supplementary materials

description: Supplementary methods, Tables and Figures
DOI: 10.6084/m9.figshare.8114183
title: max-front3-data2.zip

description: Supplementary material associated to the paper:<br>"Petrological Geodynamics of Mantle Melting III. AlphaMELTS + Multiphase Flow: the Effect of Water"<br>by Max Tirone<br>(Geoscience Frontiers, 2019, https://doi.org/10.1016/j.gsf.2019.10.010)
DOI: 10.6084/m9.figshare.8114183.v1
title: max-front3-data2.zip

description: Supplementary material associated to the paper:<br>"Petrological Geodynamics of Mantle Melting III. AlphaMELTS + Multiphase Flow: the Effect of Water"<br>by Max Tirone<br>(Geoscience Frontiers, 2019, https://doi.org/10.1016/j.gsf.2019.10.010)
DOI: 10.6084/m9.figshare.8114144
title: Impact of various textile substrates on polarization impedance of embroidered electrodes for bioelectrical impedance analysis.

description: Polarization impedance of electrodes at 50 kHz were tested in a climatic chamber for temperatures between 30-34C and 40-90 %RH.
DOI: 10.6084/m9.figshare.8114144.v1
title: Impact of various textile substrates on polarization impedance of embroidered electrodes for bioelectrical impedance analysis.

description: Polarization impedance of electrodes at 50 kHz were tested in a climatic chamber for temperatures between 30-34C and 40-90 %RH.
DOI: 10.6084/m9.figshare.8114114
title: Pathogenic allodiploid hybrids of Aspergillus fungi

description: Data for the publication, Pathogenic allodiploid hybrids of <i>Aspergillus </i>fungi by Steenwyk and Lind et al, 2020<br><br>Summary<br>Interspecific hybridization substantially alters genotypes and phenotypes and can give rise to new lineages. Hybrid isolates that differ from their parental species in infection-relevant traits have been observed in several human-pathogenic yeasts and plant-pathogenic filamentous fungi but have yet to be found in human-pathogenic filamentous fungi. We discovered 6 clinical isolates from patients with aspergillosis originally identified as Aspergillus nidulans (section Nidulantes) that are actually allodiploid hybrids formed by the fusion of Aspergillus spinulosporus with an unknown close relative of Aspergillus quadrilineatus, both in section Nidulantes. Evolutionary genomic analyses revealed that these isolates belong to Aspergillus latus, an allodiploid hybrid species. Characterization of diverse infection-relevant traits further showed that A. latus hybrid isolates are genomically and phenotypically heterogeneous but also differ from A. nidulans, A. spinulosporus, and A. quadrilineatus. These results suggest that allodiploid hybridization contributes to the genomic and phenotypic diversity of filamentous fungal pathogens of humans.<br>