cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23641/asha.7728638
title: Diagnostic accuracy of SUGAR measures (Pavelko & Owens, 2019)

description: <b>Purpose: </b>The purpose of this study was twofold: (a) to determine the diagnostic accuracy of the four Sampling Utterances and Grammatical Analysis Revised (SUGAR) metrics, including total number of words, mean length of utterance<sub>SUGAR</sub>, words per sentence, and clauses per sentence in differentiating children with language impairment (LI) from those with typical language development, and (b) to compare the average time to collect, transcribe, and analyze 50-utterance language samples for children with LI to those with typical language development.<b>Method: </b>Participants were 306 children (LI, 36; typical language development, 270) who ranged in age from 3;0 (years;months) to 7;11. Fifty-utterance conversational language samples were obtained using a conversational protocol. The four SUGAR metrics were calculated from the samples.<b>Results: </b>Cut scores of −1 <i>SD</i> for mean length of utterance<sub>SUGAR</sub> and −1.25 cut score for clauses per sentence resulted in sensitivity of 97.22%, specificity of 82.96%, a positive likelihood ratio of 5.71, and a negative likelihood ratio of 0.03. On average, it took a total time of 20:20 min (<i>SD</i> = 4:37, range: 13:11–30:25) to collect, transcribe, and analyze language samples for children with LI. Children with LI took significantly less time to produce 50 utterances, when compared to their typically developing peers. There were no significant differences in the time to transcribe and analyze language samples of children with LI compared to their typically developing peers.<b>Conclusions: </b>The SUGAR metrics, in combination with other data sources (e.g., standardized testing, dynamic assessment, observation), can be used to identify preschool- and early elementary–aged children with LI. Furthermore, for children with LI, language sampling and analysis using the SUGAR method can be completed in approximately 20 min. The results of this study indicated the SUGAR measures can effectively and efficiently help in identifying LI.<br><b>Supplemental Material S1. </b>Age, gender, and performance on language test for each participant in language impairment group. <br><b>Supplemental Material S2.</b> Participant demographic information, disaggregated by language status and age.<br>Pavelko, S. L., & Owens, R. E., Jr. (2019). Diagnostic accuracy of the Sampling Utterances and Grammatical Analysis Revised (SUGAR) measures for identifying children with language impairment. <i>Language, Speech, and Hearing Services in Schools, 50, </i>211–223. https://doi.org/10.1044/2018_LSHSS-18-0050
DOI: 10.23641/asha.7728695.v1
title: Subcortical representation of voice onset time (Tamura et al., 2019)

description: <b>Purpose:</b> The purpose of this study was to investigate whether speech perception would reflect small latency changes in subcortical speech representation.<b>Method:</b> Twelve native Japanese listeners participated in the experiment. Those listeners participated in speech identification task and auditory brainstem response (ABR) measurement using /d/–/t/ continuum stimuli varying in voice onset time (VOT) with manipulation of the amplitude of initial noise (consonant) portion, the duration of which corresponded to VOT.<b>Results:</b> Increasing the noise portion amplitude lengthened subcortical representation of VOT, which is the latency difference between ABRs synchronizing to the onsets of initial noise and following periodic (vowel) portions (VOT<sub>ABR</sub>) and made listeners likely to perceive the stimuli with ambiguous VOT as a voiceless stop /t/. In addition, the amount of VOT<sub>ABR</sub> lengthening was close to that of the VOT boundary shortening.<b>Conclusion:</b> A few milliseconds of difference in subcortical speech representation are important for the perception of speech sounds with ambiguous acoustic cues.<br><b>Supplemental Materials S1–S14. </b>Speech stimuli. <br>Tamura, S., Ito, K., Hirose, N., & Mori, S. (2019). Effects of manipulating the amplitude of consonant noise portion on subcortical representation of voice onset time and voicing perception in stop consonants. <i>Journal of Speech, Language, and Hearing Research.</i> Advance online publication. https://doi.org/10.1044/2018_JSLHR-H-18-0102
DOI: 10.6084/m9.figshare.7728620
title: Meningitis pGWAS results

description: Summary statistics for association between genetic variation and meningitis phenotypes. Contains pathogen genome association (pGWAS.tar.bz2).<br>Unpack with `tar xf `. Contents are described in the README.
DOI: 10.23641/asha.7728638.v1
title: Diagnostic accuracy of SUGAR measures (Pavelko & Owens, 2019)

description: <b>Purpose: </b>The purpose of this study was twofold: (a) to determine the diagnostic accuracy of the four Sampling Utterances and Grammatical Analysis Revised (SUGAR) metrics, including total number of words, mean length of utterance<sub>SUGAR</sub>, words per sentence, and clauses per sentence in differentiating children with language impairment (LI) from those with typical language development, and (b) to compare the average time to collect, transcribe, and analyze 50-utterance language samples for children with LI to those with typical language development.<b>Method: </b>Participants were 306 children (LI, 36; typical language development, 270) who ranged in age from 3;0 (years;months) to 7;11. Fifty-utterance conversational language samples were obtained using a conversational protocol. The four SUGAR metrics were calculated from the samples.<b>Results: </b>Cut scores of −1 <i>SD</i> for mean length of utterance<sub>SUGAR</sub> and −1.25 cut score for clauses per sentence resulted in sensitivity of 97.22%, specificity of 82.96%, a positive likelihood ratio of 5.71, and a negative likelihood ratio of 0.03. On average, it took a total time of 20:20 min (<i>SD</i> = 4:37, range: 13:11–30:25) to collect, transcribe, and analyze language samples for children with LI. Children with LI took significantly less time to produce 50 utterances, when compared to their typically developing peers. There were no significant differences in the time to transcribe and analyze language samples of children with LI compared to their typically developing peers.<b>Conclusions: </b>The SUGAR metrics, in combination with other data sources (e.g., standardized testing, dynamic assessment, observation), can be used to identify preschool- and early elementary–aged children with LI. Furthermore, for children with LI, language sampling and analysis using the SUGAR method can be completed in approximately 20 min. The results of this study indicated the SUGAR measures can effectively and efficiently help in identifying LI.<br><b>Supplemental Material S1. </b>Age, gender, and performance on language test for each participant in language impairment group. <br><b>Supplemental Material S2.</b> Participant demographic information, disaggregated by language status and age.<br>Pavelko, S. L., & Owens, R. E., Jr. (2019). Diagnostic accuracy of the Sampling Utterances and Grammatical Analysis Revised (SUGAR) measures for identifying children with language impairment. <i>Language, Speech, and Hearing Services in Schools, 50, </i>211–223. https://doi.org/10.1044/2018_LSHSS-18-0050
DOI: 10.6084/m9.figshare.7728608
title: Cucurbita argyrosperma subsp. argyrosperma genome assembly

description: Cucurbita argyrosperma ssp. argyrosperma genome assembly.Compressed file that includes:<br>- Genome assembly of the organelles and the nucleus (FASTA format).- Gene model predictions of the protein-coding genes, lincRNAs and tRNAs (GFF3 format).- Proteins, transcripts and CDS of the predicted gene models (FASTA format).- Functional annotation of the protein-coding genes using InterProScan and BLASTp against Swiss-Prot.- RNAseq information, including the SRA accesions, the raw read counts and the FPKM count per gene.
DOI: 10.6084/m9.figshare.7728554
title: The Accumulated Persistence Function, a New Useful Functional Summary Statistic for Topological Data Analysis, With a View to Brain Artery Trees and Spatial Point Process Applications

description: We start with a simple introduction to topological data analysis where the most popular tool is called a persistence diagram. Briefly, a persistence diagram is a multiset of points in the plane describing the persistence of topological features of a compact set when a scale parameter varies. Since statistical methods are difficult to apply directly on persistence diagrams, various alternative functional summary statistics have been suggested, but either they do not contain the full information of the persistence diagram or they are two-dimensional functions. We suggest a new functional summary statistic that is one-dimensional and hence easier to handle, and which under mild conditions contains the full information of the persistence diagram. Its usefulness is illustrated in statistical settings concerned with point clouds and brain artery trees. The supplementary materials include additional methods and examples, technical details, and the R code used for all examples.
DOI: 10.7284/136179
title: Gravimeter data collected during research cruise AR40 using a Bell BGM-3 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7728551
title: Coinnovation, innovation performance and organisational machiavellianism

description: The fieldwork was conducted between September 2016 and October 2018, through a questionnaire sent by electronic mail or physically applied to the management of a total of 600 firms that voluntarily registered in a mentoring program to develop innovation capabilities, sponsored by an institution from the regional system of innovation which articulates companies and universities. 112 valid responses were obtained.<br>
DOI: 10.6084/m9.figshare.7728620.v1
title: Meningitis GWAS results

description: Summary statistics for association between genetic variation and meningitis phenotypes. Contains pathogen genome association (pGWAS.tar.bz2) and human genome association (hGWAS.tar.bz2).<br>Unpack with `tar xf `. Contents are described in the README.
DOI: 10.7284/136181
title: Meteorological Station data collected during research cruise AR40 using a Vaisala WXT520 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7728551.v1
title: Coinnovation, innovation performance and organisational machiavellianism

description: The fieldwork was conducted between September 2016 and October 2018, through a questionnaire sent by electronic mail or physically applied to the management of a total of 600 firms that voluntarily registered in a mentoring program to develop innovation capabilities, sponsored by an institution from the regional system of innovation which articulates companies and universities. 112 valid responses were obtained.<br>
DOI: 10.6084/m9.figshare.7728554.v2
title: The Accumulated Persistence Function, a New Useful Functional Summary Statistic for Topological Data Analysis, With a View to Brain Artery Trees and Spatial Point Process Applications

description: We start with a simple introduction to topological data analysis where the most popular tool is called a persistence diagram. Briefly, a persistence diagram is a multiset of points in the plane describing the persistence of topological features of a compact set when a scale parameter varies. Since statistical methods are difficult to apply directly on persistence diagrams, various alternative functional summary statistics have been suggested, but either they do not contain the full information of the persistence diagram or they are two-dimensional functions. We suggest a new functional summary statistic that is one-dimensional and hence easier to handle, and which under mild conditions contains the full information of the persistence diagram. Its usefulness is illustrated in statistical settings concerned with point clouds and brain artery trees. The supplementary materials include additional methods and examples, technical details, and the R code used for all examples.
DOI: 10.6084/m9.figshare.7728542
title: Pyramid Quantile Regression

description: We describe a Bayesian model for simultaneous linear quantile regression at several specified quantile levels. More specifically, we propose to model the conditional distributions by using random probability measures, known as quantile pyramids, introduced by Hjort and Walker. Unlike many existing approaches, this framework allows us to specify meaningful priors on the conditional distributions, while retaining the flexibility afforded by the nonparametric error distribution formulation. Simulation studies demonstrate the flexibility of the proposed approach in estimating diverse scenarios, generally outperforming other competitive methods. We also provide conditions for posterior consistency. The method is particularly promising for modeling the extremal quantiles. Applications to extreme value analysis and in higher dimensions are also explored through data examples. Supplemental material for this article is available online.
DOI: 10.6084/m9.figshare.7728554.v1
title: The accumulated persistence function, a new useful functional summary statistic for topological data analysis, with a view to brain artery trees and spatial point process applications

description: We start with a simple introduction to topological data analysis where the most popular tool is called a persistence diagram. Briefly, a persistence diagram is a multiset of points in the plane describing the persistence of topological features of a compact set when a scale parameter varies. Since statistical methods are difficult to apply directly on persistence diagrams, various alternative functional summary statistics have been suggested, but either they do not contain the full information of the persistence diagram or they are two-dimensional functions. We suggest a new functional summary statistic that is one-dimensional and hence easier to handle, and which under mild conditions contains the full information of the persistence diagram. Its usefulness is illustrated in statistical settings concerned with point clouds and brain artery trees. The supplementary materials include additional methods and examples, technical details, and the R-code used for all examples.
DOI: 10.7284/136183
title: Meteorological Station data collected during research cruise AR40 using a Vaisala WXT520 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7728542.v2
title: Pyramid Quantile Regression

description: We describe a Bayesian model for simultaneous linear quantile regression at several specified quantile levels. More specifically, we propose to model the conditional distributions by using random probability measures, known as quantile pyramids, introduced by Hjort and Walker. Unlike many existing approaches, this framework allows us to specify meaningful priors on the conditional distributions, while retaining the flexibility afforded by the nonparametric error distribution formulation. Simulation studies demonstrate the flexibility of the proposed approach in estimating diverse scenarios, generally outperforming other competitive methods. We also provide conditions for posterior consistency. The method is particularly promising for modeling the extremal quantiles. Applications to extreme value analysis and in higher dimensions are also explored through data examples. Supplemental material for this article is available online.
DOI: 10.7284/136186
title: Multibeam Echosounder data collected during research cruise AR40 using a Kongsberg EM710 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7728542.v1
title: Pyramid Quantile Regression

description: We describe a Bayesian model for simultaneous linear quantile regression at several specified quantile levels. More specifically, we propose to model the conditional distributions by using random probability measures, known as quantile pyramids, introduced by Hjort and Walker. Unlike many existing approaches, this framework allows us to specify meaningful priors on the conditional distributions, whilst retaining the flexibility afforded by the nonparametric error distribution formulation. Simulation studies demonstrate the flexibility of the proposed approach in estimating diverse scenarios, generally outperforming other competitive methods. We also provide conditions for posterior consistency. The method is particularly promising for modelling the extremal quantiles. Applications to extreme value analysis and in higher dimensions are also explored through data examples.
DOI: 10.7284/136185
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise AR40 using a General Oceanics 8050 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/136174
title: Radiometer data collected during research cruise AR40 using a Biospherical QSR-2150 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/136176
title: Radiometer data collected during research cruise AR40 using a Eppley RAD instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25375/uct.7728254
title: Sector growth and related index returns: an integration analysis of the Group of seven (G-7).

description: This data corresponds to a study that examines the lagged short run and long-term relationships between output growth and related index returns of the industrial and financial sectors of the G-7 economies. The study examines this relationship using quarterly data for a B maximum time period of 22 years ranging from 1994(Q4) to 2017(Q4). The study used the data to conduct correlation, co-integration as well as causality testing on the aforementioned relationship. Specifically, the data used consists of seasonally adjusted real quarterly growth and equity return data of the financial and industrial sectors of the G-7 economies. All data is publicly available and was obtained and aggregated from Bloomberg. The financial and industrial equity return data is developed by Morgan Stanley Capital International (MSCI).<br> <br>
DOI: 10.6084/m9.figshare.7726508
title: Supplementary data: Chance and predictability in evolution: The genomic basis of convergent dietary specializations in an adaptive radiation

description: Supplementary data for the article: Chance and predictability in evolution: the genomic basis of convergent dietary specializations in an adaptive radiation. Molecular Ecology. 28, 17, 9. 2019. https://doi.org/10.1111/mec.15199<br>We include the described transcriptome assemblies (predicted CDS and protein sequences), a table contaning the orthogroups, CDS alignments used for the anlyses and gene ontology enrichment files.
DOI: 10.7284/136173
title: Singlebeam Echosounder data collected during research cruise AR40 using a Knudsen 3260 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25375/uct.7728254.v1
title: Sector growth and related index returns: an integration analysis of the Group of seven (G-7).

description: This data corresponds to a study that examines the lagged short run and long-term relationships between output growth and related index returns of the industrial and financial sectors of the G-7 economies. The study examines this relationship using quarterly data for a B maximum time period of 22 years ranging from 1994(Q4) to 2017(Q4). The study used the data to conduct correlation, co-integration as well as causality testing on the aforementioned relationship. Specifically, the data used consists of seasonally adjusted real quarterly growth and equity return data of the financial and industrial sectors of the G-7 economies. All data is publicly available and was obtained and aggregated from Bloomberg. The financial and industrial equity return data is developed by Morgan Stanley Capital International (MSCI).<br> <br>
DOI: 10.6084/m9.figshare.7726508.v1
title: Supplementary data: Chance and predictability in evolution: the genomic basis of convergent dietary specializations in an adaptive radiation

description: Supplementary data of the article: Chance and predictability in evolution: the genomic basis of convergent dietary specializations in an adaptive radiation.<br>We include the described transcriptome assemblies (predicted CDS and protein sequences), a table contaning the orthogroups, CDS alignments used for the anlyses and gene ontology enrichment files.
DOI: 10.6084/m9.figshare.7726358
title: Zooplankton species as indicators of trophic state in reservoirs from Mediterranean river basins

description: Zooplankton abundance and composition is sensitive to eutrophication, and its top-down effect in the planktonic food web can alter the classification of the trophic state of waterbodies based on the microscopic primary producers. However, this relevant group in aquatic ecosystems is overlooked when lakes and reservoirs are monitored to describe and improve water quality as required by the European Water Framework Directive (WFD). Fortunately, we have data on monitored zooplankton and the physical, chemical, and biological variables prescribed by the WFD in 20 Mediterranean reservoirs over a 4-year period (summer and winter sampled). We related zooplankton composition (90 species) with these limnological descriptors and found that zooplankton species assemblages are mainly driven by trophic gradients. Different compositions were found within the eutrophic range, suggesting alternative states when systems are more productive, but no composition was typical of oligotrophy. Based on these results, 10 species were selected based on their significant indicator value for trophic state; they are good indicators of mesotrophic, eutrophic, and hypertrophic states. Our results support the use of zooplankton as a metric to establish water quality and provide concrete data of the indicator value of some species in reservoirs in the Mediterranean basin.