cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31171394
title: Addressing the challenges and impact of flipped classroom model on the performance and perception of health professional students: an umbrella review

description: In response to the advancements in the worldwide healthcare landscape, health professional education has become crucial for addressing those issues. With the emerging challenges, inefficiencies in current health education practices drive the need to develop innovative teaching methods, such as the flipped classroom (FC) model. This study aims to evaluate the challenges and impact of the FC model on health professional students’ performance and perception. A structured umbrella review was conducted according to the Joanna Briggs Institute (JBI) methodological guidelines. The search was performed in four databases: PubMed, ScienceDirect, Cochrane Database for Systematic Reviews and PMC. Analyzing eighteen reviews published in 2020–2025, we discovered similar results reporting the positive effect of FC on students’ grades, both theoretical and practical. Findings also indicated a positive perception following FC implementation. However, gaps in evidence related to technical aspects, particularly concerning the learning duration and optimal workload, were identified as challenges. While the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) rating indicated limited certainty of evidence, findings suggested that FC model implementation may improve health students’ performance and elicit positive perception. Future research is essential to obtain empirical evidence regarding the specific technicalities-related issue during FC implementation in health profession education. The present umbrella review synthesizes evidence published from 2020 to 2025 on students’ viewpoints of the implementation of flipped classroom (FC) approaches across health professional education. By integrating empirical evidence from multiple reviews, this study explains the necessity to improve active and flexible learning approach within health professional curriculum through the FC model. The findings provide practical guidance for teachers and curriculum developers to align the strategies with students’ needs and expectations for their effective application in health education practices.
DOI: 10.6084/m9.figshare.31171394.v1
title: Addressing the challenges and impact of flipped classroom model on the performance and perception of health professional students: an umbrella review

description: In response to the advancements in the worldwide healthcare landscape, health professional education has become crucial for addressing those issues. With the emerging challenges, inefficiencies in current health education practices drive the need to develop innovative teaching methods, such as the flipped classroom (FC) model. This study aims to evaluate the challenges and impact of the FC model on health professional students’ performance and perception. A structured umbrella review was conducted according to the Joanna Briggs Institute (JBI) methodological guidelines. The search was performed in four databases: PubMed, ScienceDirect, Cochrane Database for Systematic Reviews and PMC. Analyzing eighteen reviews published in 2020–2025, we discovered similar results reporting the positive effect of FC on students’ grades, both theoretical and practical. Findings also indicated a positive perception following FC implementation. However, gaps in evidence related to technical aspects, particularly concerning the learning duration and optimal workload, were identified as challenges. While the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) rating indicated limited certainty of evidence, findings suggested that FC model implementation may improve health students’ performance and elicit positive perception. Future research is essential to obtain empirical evidence regarding the specific technicalities-related issue during FC implementation in health profession education. The present umbrella review synthesizes evidence published from 2020 to 2025 on students’ viewpoints of the implementation of flipped classroom (FC) approaches across health professional education. By integrating empirical evidence from multiple reviews, this study explains the necessity to improve active and flexible learning approach within health professional curriculum through the FC model. The findings provide practical guidance for teachers and curriculum developers to align the strategies with students’ needs and expectations for their effective application in health education practices.
DOI: 10.6084/m9.figshare.31114742
title: Influence diagnostics and outlier detection for dose–response meta-analysis

description: Dose–response meta-analysis is an evidence synthesis method that enables quantitative analyses concerning the dose–response relationships in clinical and epidemiological studies. In practice of dose–response meta-analyses, several studies might have considerably different profiles from the others, known as outliers. The outliers might be influential to change the overall results of the synthesis analyses, and possibly lead to misleading evidence. In this article, we propose influence diagnostics and outlier detection methods for dose–response meta-analysis that can be generically applied to the flexible multilevel models. We present three influence diagnostic measures: (1) study-level multivariate studentized residual, (2) dose group-level studentized residual, and (3) generalized variance ratio statistic of the regression coefficient estimators, for assessing influences of individual studies or groups to the overall results quantitatively. We also provide bootstrap algorithms to quantify statistical uncertainties of these influential statistics to enable more precise statistical evaluations. We applied these new methods to a dose–response meta-analysis of psychopharmacological interventions for major depression. Using the influence diagnostics methods, we detected one phase-3 clinical trial of fluoxetine and we showed the overall efficacy estimate of the antidepressants might be underestimated by involving this possibly outlying study.
DOI: 10.6084/m9.figshare.31114742.v2
title: Influence diagnostics and outlier detection for dose–response meta-analysis

description: Dose–response meta-analysis is an evidence synthesis method that enables quantitative analyses concerning the dose–response relationships in clinical and epidemiological studies. In practice of dose–response meta-analyses, several studies might have considerably different profiles from the others, known as outliers. The outliers might be influential to change the overall results of the synthesis analyses, and possibly lead to misleading evidence. In this article, we propose influence diagnostics and outlier detection methods for dose–response meta-analysis that can be generically applied to the flexible multilevel models. We present three influence diagnostic measures: (1) study-level multivariate studentized residual, (2) dose group-level studentized residual, and (3) generalized variance ratio statistic of the regression coefficient estimators, for assessing influences of individual studies or groups to the overall results quantitatively. We also provide bootstrap algorithms to quantify statistical uncertainties of these influential statistics to enable more precise statistical evaluations. We applied these new methods to a dose–response meta-analysis of psychopharmacological interventions for major depression. Using the influence diagnostics methods, we detected one phase-3 clinical trial of fluoxetine and we showed the overall efficacy estimate of the antidepressants might be underestimated by involving this possibly outlying study.
DOI: 10.5061/dryad.7h44j1017
title: Monotropoid Ericaceae 102-locus nuclear sequences matrices and plastid locus sequence matrix

description: Monotropoideae (Ericaceae) is a wholly leafless and holomycotrophic group
 of primarily temperate herbs with centers of diversity in western North
 America and east Asia.   The eleven genera are
 structurally diverse and also vegetatively reduced, making relationships
 difficult to assess based on morphology.  Previous molecular
 analyses have focused primarily on segments of the ribosomal RNA repeat
 and yielded sometimes conflicting topologies.  We employed a
 genomic sampling approach to obtain 102 nuclear loci and plastid coding
 loci for nine of the genera, as well as sampling ITS-26S and plastid rps2
 for a broader set of accessions via PCR and Sanger sequencing Data
 filtering for character completeness had a clear effect on relationships
 and branch support.  Nuclear and plastid loci agree on a topology
 that resolves Allotropa and Hemitomes as sisters and Monotropsis sister to
 Eremotropa+Monotropa+Monotropastrum, relationships that were unclear from
 previous analyses.  Hypopitys should be recognized as distinct
 from Monotropa, with previous ambiguity in rps2 relationships here
 explained by the existence of plastid and mitochondrial
 paralogs.  Comparison of branch lengths between nuclear and
 plastid loci reveals increased rates of change in plastid sequences in
 most cases, especially in Monotropsis and Monotropa, but the reverse
 situation in Pityopus, with nuclear branches being unusually long,
 possibly indicating cryptic diversity.  Parallel shifts in plant
 form to a ground-level floral display correlate with shifts from capsular
 to berry fruits and reduction in species ranges.  The optimal
 tree from molecular data requires significant parallelism and/or reversal
 in morphological features due to the placement of Allotropa and Hemitomes.
description: Data were collected using Illumina sequencing and a low-coverage
 genome skimming approach.
description: # Monotropoid Ericaceae 102-locus nuclear sequences matrices and plastid
 locus sequence matrix
 [https://doi.org/10.5061/dryad.7h44j1017](https://doi.org/10.5061/dryad.7h44j1017) These matrices were derived from genome-skimming runs using Illumina sequencing technology. After the pools of reads were obtained, they were mapped to Angiosperm353 target sequences from Monotropa uniflora, which were obtained from the supplementary data in the paper that described that probe set (Johnson et al., 2019, Systematic Biology 68: 594-606). This allowed us to recover sequences from our reads that matched the Angiosperm353 orthologs. 102 of these were assembled into a concatenated dataset for analysis of monotropoid relationships and filtered to different levels of individual base-position completeness: 100% complete, 80% complete, 50% complete, and unfiltered (all data included). These matrices are provided in NEXUS format. We also assembled plastid genomes from the skimming reads and de novo mapped them to a starting plastid DNA locus seed. The coding loci were then extracted and aligned and these comprise the matrix.
DOI: 10.15468/dl.xhvnyy
title: Occurrence Download

description: A dataset containing 278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "Geometry POLYGON((-125.67833 31.45256,-113.38035 31.45256,-113.38035 46.80382,-125.67833 46.80382,-125.67833 31.45256))",
 "HasGeospatialIssue is false",
 "TaxonKey is Culicoides"
 ]
}

 The dataset includes 278 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003733-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.p2ngf1vxq
title: Positioning absorptive root respiration in the root economics space across woody and herbaceous species

description: Root respiration is essential for nutrient acquisition. The respiration
 rate of absorptive roots theoretically relates to the economics of
 carbon-nutrient exchange, but its empirical role remains largely
 unexplored in the trait space defining nutrient uptake strategies. Here,
 we measured the respiration rates of the distal, non-woody, absorptive
 roots of 252 woody and herbaceous species from subtropical and temperate
 climate zones, including both arbuscular mycorrhizal and ectomycorrhizal
 fungal hosts. We found a consistent and positive correlation between root
 respiration rate and specific root length (root length per dry weight),
 irrespective of growth form, mycorrhizal type, and climate zone. Root
 respiration rate was also positively, but less strongly and less
 frequently correlated with root nitrogen concentration. Root morphology
 strongly explained the fast-slow gradient of root respiration in the root
 economics space. By quantifying the ratio of arbuscular mycorrhizal fungal
 DNA copy number and root tissue DNA copy number using qPCR, we found that
 the morphology-driven gradient did not explain the full variation in
 fungal collaboration; thick roots were consistently well colonized, but
 medium and thin roots displayed a wide range of colonization intensity.
 Synthesis: These results advance our understanding of the fundamental
 trait relationships that underpin the root economics space. Our study also
 provides a physiological linkage to the frequently-measured root
 morphological traits and relates the root economics space to root-derived
 carbon-nutrient cycling processes.
description: # Positioning absorptive root respiration in the root economics space
 across woody and herbaceous species
 [https://doi.org/10.5061/dryad.p2ngf1vxq](https://doi.org/10.5061/dryad.p2ngf1vxq) Abstract In this study we measured the respiration rates of the distal, non-woody, absorptive roots of 252 woody and herbaceous species from subtropical and temperate climate zones, including both arbuscular mycorrhizal and ectomycorrhizal fungal hosts. Usage notes These data were collected in Zhejiang and Gansu Province, China (2021). Details for each dataset are provided in the README file. Datasets included: All root trait data collected in this study. Columns include species names, sampling biome(Site), plant growth form, mycorrhizal type (Myc type, AM = arbuscular mycorrhizas, EM=ectomycorrhizas, ERM= ericoid mycorrhizas), Diameter (mm), Specific root length (SRL, m g-1), Root tissue density (RTD, g cm-3), nitrogen concentration (N, %), respiration rate (RS, nmol g-1 s-1, at 20 degree Celsius), and relative abundance of arbuscular mycorrhizal fungi (AMF, ratio of DNA copy number). Please see maintext for more details. NA= Not applicable. ##
DOI: 10.15468/dl.5c879n
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrus",
 "OccurrenceStatus is Present",
 "Geometry POLYGON((8.4 44.6, 11.5 44.6, 11.5 46.7, 8.4 46.7, 8.4 44.6))"
 ]
}

 The dataset includes 394 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003734-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qw7pt9
title: Occurrence Download

description: A dataset containing 95384 records in GBIF matching the query:
SELECT
 '475' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 46.479780028101516
 AND decimalLatitude &lt;= 51.21395264452012
 AND decimalLongitude &gt;= 18.883194275388625
 AND decimalLongitude &lt;= 26.725752065563757
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 95384 records were derived from 353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003691-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16962172
title: Parametric Study of Oxygen Ion Bernstein Instability: Effects of Shell-Distributed Oxygen Ions and Cool Heavy Ions
DOI: 10.5281/zenodo.16962173
title: Parametric Study of Oxygen Ion Bernstein Instability: Effects of Shell-Distributed Oxygen Ions and Cool Heavy Ions
DOI: 10.15468/dl.8dzbn4
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vachellia farnesiana",
 "Country is Lebanon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024934-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/tnkunh
title: Replication Data for: Stable isotopic signatures of quartz vein networks in Variscan-affected terrains indicate reactivation, meteoric and seawater influences (Rhenohercynian and South Portuguese Zones)

description: This data is for Open Acces publication, If you would like to use them, please cite it correctly
DOI: 10.7910/dvn/27564
title: Replication data for: Modeling Latent Information in Voting Data with Dirichlet Process Priors

description: Forthcoming
DOI: 10.7910/dvn/c5ceei
title: Fast interferometric data from the Very Large Array for Fast Radio Burst FRB 190520

description: Data products to support reproduction of the interferometric localization of Fast Radio Burst 190520.

The principle data products are tar files of fast-sampled interferometric data from the Very Large Array (download separately to avoid dataverse file size limit). Each observation segment includes a few seconds of visibilities centered on a radio burst from FRB 190520. Data is in science data model (SDM) format, which consists of a directory with metadata in XML files and binary data in the ASDMBinary subdirectory. Binary data were recorded with an integration time of 10 ms and dual-circular polarizations. Each file is identified by a unique name of the observation, plus the observation start time in MJD. Each visibility data set is associated with one of the calibration files with the same MJD (telcal format; ending in ".GN") that can be parsed to apply gain calibration.

The Python package rtpipe (https://github.com/realfastvla/rfpipe) can perform all calibration and analysis of these data. This library is supported by sdmpy (https://github.com/demorest/sdmpy), a Python library to read SDM files. See also http://realfast.io for information on the project behind the data acquisition system and analysis software.
description: Data in SDM format, the archive standard of the NRAO. Conversion to Measurement Set is standard practice for analysis with CASA. rfpipe can read from native SDM format.
DOI: 10.7910/dvn/qflyxv
title: Force A, Noise Level 0

description: Force A, Noise Level 0
DOI: 10.7910/dvn/lhd1hy
title: Supplemental data for “The Prevalence and Significance of Offset Magma Reservoirs at Arc Volcanoes”

description: This dataset contains three Microsoft Excel tables, a collection of mapped volcano edifice bounds, and a Google Earth database associated with the Manuscript “The Prevalence and Significance of Offset Magma Reservoirs at Arc Volcanoes” published by Lerner et al., 2020 in the journal Geophysical Research Letters. Table S1 is a simplified list of volcanoes and key edifice morphology and magma reservoir parameters in this study. Table S2 is a comprehensive list of volcanoes and full edifice morphology and magma reservoir parameters in this study. Table S3 contains summary statistics of geophysically inferred magma reservoirs at different volcano types, compositions, and edifice sizes. Data set S1 is a collection of maps (as a .PDF file) showing edifice bounds and centroids overlain on topographic maps of each volcano in the database. Data set S2 is a Google Earth database (as a .KMZ file) of volcanic edifice bounds and geophysically imaged magma reservoirs. This is a Google Earth file with all volcano edifice bounds and locations of edifice centroids, vents, summits, and magma reservoirs, as well as supporting figure overlays from the literature that were used for mapping magma reservoir locations. These collective data may be of interest for quantifying and visualizing edifice topographies of arc volcanoes and the subsurface locations of inferred magma reservoirs from many referenced geophysical studies.
DOI: 10.7910/dvn/wa9fcc
title: A11_19439.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/8e3eda13-1724-4e2b-8ea3-4a575c1c48c7'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/8e3eda13-1724-4e2b-8ea3-4a575c1c48c7
DOI: 10.7910/dvn/wanwsk
title: Community of Interest Maps: North Carolina

description: The Community of Interest Map Collection Project aims to collect COI maps submitted to legislative and congressional redistricting bodies and organizations during the 2021 redistricting cycle.
DOI: 10.7910/dvn/mjwawr
title: Wright Casebook Edited; Docketed Case: 81-1243
DOI: 10.7910/dvn/w96ofo
title: Amazon Customer Review

description: These datasets consist of product reviews we ourselves collected from Amazon.com, starting from the year 2008 to 2020, spanning across seven different domains, namely, book (Becoming by Michelle Obama), pharmaceutical (Turmeric Curcumin Supplement by Natures Nutrition), electronics (Echo Dot 3rd Gen by Amazon), grocery (Sparkling Ice Blue Variety Pack), healthcare (EnerPlex 3-Ply Re-usable Face Mask), entertainment (Harry Potter: The Complete 8-Film Collection), and personal care (Nautica Voyage By Nautica). These datasets consist of 5000 reviews each.
DOI: 10.7910/dvn/wa1xqf
title: Replication Data for "Mobilization or Pacification? Comparing Authoritarian Media Campaigns in Conflicts"

description: This dataset contains People's Daily articles during four mobilization campaigns and seven pacification campaigns on China's foreign disputes since 1949. It also contains replication files for text analysis comparing the valence, narratives, and emotions in these two campaign types.
DOI: 10.7910/dvn/2rt2jt
title: A95_7218b.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/83a17a5d-dfe5-ee25-9568-d582299b3faf'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/83a17a5d-dfe5-ee25-9568-d582299b3faf
DOI: 10.7910/dvn/8sqhnq
title: A16_31586.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/1c5d1895-0082-4a92-acf4-3b2c5c08175a'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/1c5d1895-0082-4a92-acf4-3b2c5c08175a
DOI: 10.7910/dvn/lhkn5r
title: Raw behavioral data for "Robust neurocognitive individual differences in grammatical agreement processing: A latent variable approach"

description: These are the raw output files from the behavioral acceptability judgment task run concurrently with the EEG sentence processing experiment. For participants in the SPR task, word-by-word reading times are also included. Files were generated by Paradigm Experimental software (http://www.paradigmexperiments.com/). See the readme in the general files dataset for more information on the information in the files. The R code for compiling, processing and analyzing data is included in the "Analysis scripts and outputs" dataset associated with this dataverse. All code and plots necessary for re-creating our analyses are included in those scripts, with relevant R distribution and package versions current as of April 2018 (R version 3.4.4).
DOI: 10.7910/dvn/w1rejl
title: Replication Data for: Did Radio RTLM Really Contribute Meaningfully to the Rwandan Genocide?: Using Qualitative Information to Improve Causal Inference from Measures of Media Availability

description: Replication data, R scripts and Stata do-file