cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7180661.v1
title: Improved accumulation of betulin and betulinic acid in cell suspension culture of <i>Betula pendula</i> roth by abiotic and biotic elicitors

description: Betulin (B) and betulinic acid (BA) are two triterpenes with diverse pharmacological and physiological actions. Elicitation of <i>Betula pendula</i> Roth cell cultures by elicitors is an excellent strategy to increase B and BA levels. Six abiotic and biotic elicitors were studied to improve accumulation of B and BA in the cell culture of <i>B. pendula</i>. The B and BA production in treated cells was verified by HPLC. The results showed the maximum growth index (7) on day 3 in cells treated with 0.5 mg L<sup>−1</sup> chlorocholine chloride (CCC). The increased accumulation of BA in the cells treated with 200 mg L<sup>−1</sup> of chitosan was found to be 5.9 × (6.5 mg g<sup>−1</sup> DW) higher over control cells. Treating the cells with 2 mg L<sup>−1</sup> of CCC, after 7 days, led to 149.3× enhancement of B content (19.4 mg g<sup>−1</sup> DW) over the controls. Production of this triterpenoid at a much shorter time with a much higher growth rate can be economic and lead to producing large amounts of B and BA for anti-cancer and HIV drugs preparation.
DOI: 10.7284/123526
title: Multibeam Echosounder data collected during research cruise TN337 using a Kongsberg EM302 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123532
title: Radiometer data collected during research cruise TN337 using a Biospherical QSR-2150 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7180649
title: Figure 3, Figure 5, Figure S7 intermediate data files

description: Intermediate files required to recreate figure 3, figure 5, and supplemental figure 7 from "Re-evaluating the salty divide: phylogenetic specificity of transitions between marine and freshwater systems" by Paver et al. 2018 published in mSystems. Corresponding code and additional data files have been uploaded to bitbucket.
DOI: 10.6084/m9.figshare.7180646
title: A language to simplify computation of differential mobility analyzer response functions

description: A language for computation of differential mobility analyzer (DMA) response functions is introduced. The language consists of short programming language expressions that evaluate to the size distribution of particles exiting a DMA. The language permits application of the same framework to single and tandem DMA setups. Expressions are derived for calculation of the convolution matrix used in inversion of size distribution data, calculation of the convolution matrix for transit through tandem DMA systems, and calculation of the size and mobility distribution through DMA systems that involve one or multiple DMAs. The contribution of multiply charged particles to the total response distributions can be explicitly resolved. The derived convolution matrix is suitable for inverting scanning mobility particle sizer response functions using standard regularization techniques. Users can modify and substitute any of the convolution terms—comprising the DMA transfer function, detector efficiency, loss rate, and charging efficiencies—to express response functions of nonstandard DMA configurations. Example applications are presented, including classification of particle size, measurement of size-resolved cloud condensation nuclei activity, characterization of hygroscopicity and volatility tandem DMA response functions, and characterization of the dual tandem DMA system for dimer preparation. The source code and examples are shared as free software and are hosted on an online collaborative software development platform that allows for version tracking and crediting contributors. Adoption of the language may facilitate the design and optimization of custom-built systems that involve unique arrangements of DMAs and detectors. Copyright © 2018 The Author(s). Published with license by Taylor & Francis Group, LLC.
DOI: 10.6084/m9.figshare.7180649.v1
title: Figure 3, Figure 5, Figure S7 intermediate data files

description: Intermediate files required to recreate figure 3, figure 5, and supplemental figure 7 from "Re-evaluating the salty divide: phylogenetic specificity of transitions between marine and freshwater systems" by Paver et al. 2018 published in mSystems. Corresponding code and additional data files have been uploaded to bitbucket.
DOI: 10.7284/123533
title: Radiometer data collected during research cruise TN337 using a Eppley RAD instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7180646.v1
title: A language to simplify computation of differential mobility analyzer response functions

description: A language for computation of differential mobility analyzer (DMA) response functions is introduced. The language consists of short programming language expressions that evaluate to the size distribution of particles exiting a DMA. The language permits application of the same framework to single and tandem DMA setups. Expressions are derived for calculation of the convolution matrix used in inversion of size distribution data, calculation of the convolution matrix for transit through tandem DMA systems, and calculation of the size and mobility distribution through DMA systems that involve one or multiple DMAs. The contribution of multiply charged particles to the total response distributions can be explicitly resolved. The derived convolution matrix is suitable for inverting scanning mobility particle sizer response functions using standard regularization techniques. Users can modify and substitute any of the convolution terms—comprising the DMA transfer function, detector efficiency, loss rate, and charging efficiencies—to express response functions of nonstandard DMA configurations. Example applications are presented, including classification of particle size, measurement of size-resolved cloud condensation nuclei activity, characterization of hygroscopicity and volatility tandem DMA response functions, and characterization of the dual tandem DMA system for dimer preparation. The source code and examples are shared as free software and are hosted on an online collaborative software development platform that allows for version tracking and crediting contributors. Adoption of the language may facilitate the design and optimization of custom-built systems that involve unique arrangements of DMAs and detectors. Copyright © 2018 The Author(s). Published with license by Taylor & Francis Group, LLC.
DOI: 10.7284/123525
title: Singlebeam Echosounder data collected during research cruise TN337 using a Knudsen 320B/R instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123536
title: Speedlog data collected during research cruise TN337 using a JRC JLN-550 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123534
title: SSV (Sound Speed Velocimeter) data collected during research cruise TN337 using a AML SV&T instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123535
title: TSG (Thermosalinograph) data collected during research cruise TN337 using a Sea-Bird SBE-21 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123538
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise TN338 using a Hawaii UHDAS instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123546
title: Anemometer data collected during research cruise TN338 using a RM Young 06206 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123543
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise TN338 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123537
title: GNSS (Global Navigation Satellite System) data collected during research cruise TN338 using a C&C C-Nav 2000 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123544
title: GNSS (Global Navigation Satellite System) data collected during research cruise TN338 using a C&C C-Nav 3050 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7180439
title: WCST data

description: Sleezer & Hayden, 2016Sleezer et al., 2016
DOI: 10.7284/123542
title: Gravimeter data collected during research cruise TN338 using a Bell BGM-3 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123539
title: Gyrocompass data collected during research cruise TN338 using a Sperry MK-37 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123545
title: Meteorological Station data collected during research cruise TN338 using a RM Young 26800 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123541
title: Multibeam Echosounder data collected during research cruise TN338 using a Kongsberg EM302 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7180394
title: Assessment of CPGs for osteoporosis (1992-2016).

description: 1) icc.rmd: R files using irr package to calculate Icc and weighted kappa for the AGREE II scores between 2 raters (ordinal AGREE II scale). <br>2) OBJ1 both appriasers: Has all the raw AGREE II Scores for 33 CPGs for both raters<br>3) AGREE II mean scores: Has the mean score for each domain of the AGREE II 6 domains, for 33 CPGs.
DOI: 10.6084/m9.figshare.7180394.v1
title: Assessment of CPGs for osteoporosis (1992-2016).

description: 1) icc.rmd: R files using irr package to calculate Icc and weighted kappa for the AGREE II scores between 2 raters (ordinal AGREE II scale). <br>2) OBJ1 both appriasers: Has all the raw AGREE II Scores for 33 CPGs for both raters<br>3) AGREE II mean scores: Has the mean score for each domain of the AGREE II 6 domains, for 33 CPGs.
DOI: 10.6084/m9.figshare.7180388
title: Contrasting drivers of plant and microbial diversity during long-term ecosystem development

description: Raw sequencing data from 2x250 bp paired end Miseq run; OTU tables; Soil nutrient data, Sample metadata. OTU picking and taxonomy assignments were done using QIIME 1.9.1 with Greengenes (gg_13_8) and UNITE (sh_qiime_release_s_31) as the reference databases. <br>
DOI: 10.7284/123547
title: Radiometer data collected during research cruise TN338 using a Biospherical QSR-2150 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7180388.v1
title: Contrasting drivers of plant and microbial diversity during long-term ecosystem development

description: Raw sequencing data from 2x250 bp paired end Miseq run; OTU tables; Soil nutrient data, Sample metadata. OTU picking and taxonomy assignments were done using QIIME 1.9.1 with Greengenes (gg_13_8) and UNITE (sh_qiime_release_s_31) as the reference databases. <br>
DOI: 10.7284/123548
title: Radiometer data collected during research cruise TN338 using a Eppley RAD instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123540
title: Singlebeam Echosounder data collected during research cruise TN338 using a Knudsen 320B/R instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7180373.v1
title: P2 - Futek

description: Load cell data for Participant 2<br>
DOI: 10.6084/m9.figshare.7180343
title: P1 - Medilogic

description: Medilogic data for Participant 1<br>
DOI: 10.6084/m9.figshare.7180367
title: P1 - Vicon

description: Vicon data for Participant 1<br>
DOI: 10.7284/123551
title: Speedlog data collected during research cruise TN338 using a JRC JLN-550 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7180343.v1
title: P1 - Medilogic

description: Medilogic data for Participant 1<br>
DOI: 10.6084/m9.figshare.7180367.v1
title: P1 - Vicon

description: Vicon data for Participant 1<br>
DOI: 10.6084/m9.figshare.7179560
title: Analysis of Computer Experiments With Functional Response

description: This article is motivated by a computer experiment conducted for optimizing residual stresses in the machining of metals. Although kriging is widely used in the analysis of computer experiments, it cannot be easily applied to model the residual stresses because they are obtained as a profile. The high dimensionality caused by this functional response introduces severe computational challenges in kriging. It is well known that if the functional data are observed on a regular grid, the computations can be simplified using an application of Kronecker products. However, the case of irregular grid is quite complex. In this article, we develop a Gibbs sampling-based expectation maximization algorithm, which converts the irregularly spaced data into a regular grid so that the Kronecker product-based approach can be employed for efficiently fitting a kriging model to the functional data. Supplementary materials are available online.
DOI: 10.6084/m9.figshare.7180328
title: P1-Futek

description: Load cell data for Participant 1.
DOI: 10.6084/m9.figshare.7180328.v1
title: P1-Futek

description: Load cell data for Participant 1.
DOI: 10.7284/123549
title: SSV (Sound Speed Velocimeter) data collected during research cruise TN338 using a AML SV&T instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.23641/asha.7178939
title: Cognitive processing and comprehension in developmental language disorder (Montgomery et al., 2018)

description: <b>Purpose: </b>We assessed the potential direct and indirect (mediated) influences of 4 cognitive mechanisms we believe are theoretically relevant to canonical and noncanonical sentence comprehension of school-age children with and without developmental language disorder (DLD). <b>Method:</b> One hundred seventeen children with DLD and 117 propensity-matched typically developing (TD) children participated. Comprehension was indexed by children identifying the agent in implausible sentences. Children completed cognitive tasks indexing the latent predictors of fluid reasoning (FLD-R), controlled attention (CATT), complex working memory (cWM), and long-term memory language knowledge (LTM-LK).<b>Results: </b>Structural equation modeling revealed that the best model fit was an indirect model in which cWM mediated the relationship among FLD-R, CATT, LTM-LK, and sentence comprehension. For TD children, comprehension of both sentence types was indirectly influenced by FLD-R (pattern recognition) and LTM-LK (linguistic chunking). For children with DLD, canonical sentence comprehension was indirectly influenced by LTM-LK and CATT, and noncanonical comprehension was indirectly influenced just by CATT.<b>Conclusions: </b>cWM mediates sentence comprehension in children with DLD and TD children. For TD children, comprehension occurs automatically through pattern recognition and linguistic chunking. For children with DLD, comprehension is cognitively effortful. Whereas canonical comprehension occurs through chunking, noncanonical comprehension develops on a word-by-word basis.<br><b>Supplemental Material S1. </b>Description of each cognitive task and reliability information.<br><b>Supplemental Material S2.</b> Summary scores on all cognitive measures for the children with developmental language disorder (DLD) and typically developing (TD) controls, and Cohen’s <i>d</i> (standardized mean difference) between the groups.<br><b>Supplemental Material S3.</b> Pearson correlations among the individual cognitive processing measures in the GEM (Gillam–Evans–Montgomery) model (groups combined). <br>Montgomery, J. W., Evans, J. L., Fargo, J. D., Schwartz, S., & Gillam, R. B. (2018). Structural relationship between cognitive processing and syntactic sentence comprehension in children with and without developmental language disorder. <i>Journal of Speech, Language, and Hearing Research.</i> Advance online publication. https://doi.org/10.1044/2018_JSLHR-L-17-0421<br>
DOI: 10.6084/m9.figshare.7179560.v2
title: Analysis of Computer Experiments With Functional Response

description: This article is motivated by a computer experiment conducted for optimizing residual stresses in the machining of metals. Although kriging is widely used in the analysis of computer experiments, it cannot be easily applied to model the residual stresses because they are obtained as a profile. The high dimensionality caused by this functional response introduces severe computational challenges in kriging. It is well known that if the functional data are observed on a regular grid, the computations can be simplified using an application of Kronecker products. However, the case of irregular grid is quite complex. In this article, we develop a Gibbs sampling-based expectation maximization algorithm, which converts the irregularly spaced data into a regular grid so that the Kronecker product-based approach can be employed for efficiently fitting a kriging model to the functional data. Supplementary materials are available online.
DOI: 10.7284/123550
title: TSG (Thermosalinograph) data collected during research cruise TN338 using a Sea-Bird SBE-21 instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.23641/asha.7178939.v1
title: Cognitive processing and comprehension in developmental language disorder (Montgomery et al., 2018)

description: <b>Purpose: </b>We assessed the potential direct and indirect (mediated) influences of 4 cognitive mechanisms we believe are theoretically relevant to canonical and noncanonical sentence comprehension of school-age children with and without developmental language disorder (DLD). <b>Method:</b> One hundred seventeen children with DLD and 117 propensity-matched typically developing (TD) children participated. Comprehension was indexed by children identifying the agent in implausible sentences. Children completed cognitive tasks indexing the latent predictors of fluid reasoning (FLD-R), controlled attention (CATT), complex working memory (cWM), and long-term memory language knowledge (LTM-LK).<b>Results: </b>Structural equation modeling revealed that the best model fit was an indirect model in which cWM mediated the relationship among FLD-R, CATT, LTM-LK, and sentence comprehension. For TD children, comprehension of both sentence types was indirectly influenced by FLD-R (pattern recognition) and LTM-LK (linguistic chunking). For children with DLD, canonical sentence comprehension was indirectly influenced by LTM-LK and CATT, and noncanonical comprehension was indirectly influenced just by CATT.<b>Conclusions: </b>cWM mediates sentence comprehension in children with DLD and TD children. For TD children, comprehension occurs automatically through pattern recognition and linguistic chunking. For children with DLD, comprehension is cognitively effortful. Whereas canonical comprehension occurs through chunking, noncanonical comprehension develops on a word-by-word basis.<br><b>Supplemental Material S1. </b>Description of each cognitive task and reliability information.<br><b>Supplemental Material S2.</b> Summary scores on all cognitive measures for the children with developmental language disorder (DLD) and typically developing (TD) controls, and Cohen’s <i>d</i> (standardized mean difference) between the groups.<br><b>Supplemental Material S3.</b> Pearson correlations among the individual cognitive processing measures in the GEM (Gillam–Evans–Montgomery) model (groups combined). <br>Montgomery, J. W., Evans, J. L., Fargo, J. D., Schwartz, S., & Gillam, R. B. (2018). Structural relationship between cognitive processing and syntactic sentence comprehension in children with and without developmental language disorder. <i>Journal of Speech, Language, and Hearing Research.</i> Advance online publication. https://doi.org/10.1044/2018_JSLHR-L-17-0421<br>
DOI: 10.6084/m9.figshare.7179560.v1
title: Analysis of Computer Experiments With Functional Response

description: This article is motivated by a computer experiment conducted for optimizing residual stresses in the machining of metals. Although kriging is widely used in the analysis of computer experiments, it cannot be easily applied to model the residual stresses because they are obtained as a profile. The high dimensionality caused by this functional response introduces severe computational challenges in kriging. It is well known that if the functional data are observed on a regular grid, the computations can be simplified using an application of Kronecker products. However, the case of irregular grid is quite complex. In this article, we develop a Gibbs sampling-based expectation maximization algorithm, which converts the irregularly spaced data into a regular grid so that the Kronecker product-based approach can be employed for efficiently fitting a kriging model to the functional data. Supplementary materials are available online.
DOI: 10.6084/m9.figshare.7178909
title: ESM Table 1 from A test of the European Pleistocene refugial paradigm, using a Western Palearctic endemic bird species

description: Supplementary Table S1 for: S.V. Drovetski, I.V. Fadeev, M. Raković, R.J. Lopes, G. Boano, M. Pavia, E.A. Koblik, Y.V. Lohman, Y.A. Red'kin, S.A. Aghayan, S. Reis, S.S. Drovetskaya, and G. Voelker.A test of the European Pleistocene Refugial Paradigm, using a Western Palearctic endemic bird species. DOI: 10.1098/rspb.2018.1606
DOI: 10.6084/m9.figshare.7178909.v1
title: ESM Table 1 from A test of the European Pleistocene refugial paradigm, using a Western Palearctic endemic bird species

description: Supplementary Table S1 for: S.V. Drovetski, I.V. Fadeev, M. Raković, R.J. Lopes, G. Boano, M. Pavia, E.A. Koblik, Y.V. Lohman, Y.A. Red'kin, S.A. Aghayan, S. Reis, S.S. Drovetskaya, and G. Voelker.A test of the European Pleistocene Refugial Paradigm, using a Western Palearctic endemic bird species. DOI: 10.1098/rspb.2018.1606
DOI: 10.6084/m9.figshare.7178912
title: Supplementary tables from A novel proof of concept for capturing the diversity of endophytic fungi preserved in herbarium specimens

description: Tables S1-S3
DOI: 10.7284/123553
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise TN339 using a Hawaii UHDAS instrument system onboard the platform RV Thomas G. Thompson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7178912.v1
title: Supplementary tables from A novel proof of concept for capturing the diversity of endophytic fungi preserved in herbarium specimens

description: Tables S1-S3