cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23641/asha.9755459
title: Survey of clinicians with specialization in CAS (Randazzo, 2019)

description: <b>Purpose: </b>Little is known about how clinicians develop expertise in childhood apraxia of speech (CAS), a rare speech disorder with heterogeneous presentation. The purpose of this survey study was to examine the beliefs and practices of clinicians specializing in CAS.<b>Method: </b>Speech-language pathologists who self-identify as having expertise in CAS (<i>n</i> = 165) completed an online survey regarding influences on clinical practice and beliefs about CAS. Practice patterns and perspectives regarding CAS were analyzed for respondents who self-identify as having expertise in CAS, across 4 experience bands (1–5, 6–10, 11–15, and 15+ years).<b>Results: </b>A majority of the respondents to this survey provide treatment to preschool-age children with CAS. Respondents report features used in differential diagnosis aligned with the American Speech-Language-Hearing Association’s (2007) technical report, with inconsistency as a key feature. Results suggest that continuing education courses are highly influential in the perceived development of expertise and perspectives regarding CAS. Respondents expressed uncertainty about comorbidity of CAS with other communication disorders. Overall, beliefs and practices are relatively uniform across levels of clinical experience.<b>Conclusions: </b>Practices and perspectives of clinicians who self-identify as having expertise with CAS are influenced by factors noted in previous literature. Results of this survey highlight the need for research on the development of expertise in the clinical management of CAS, updated consensus statements that reflect advances in current research, clarification regarding comorbidity of CAS with other communication disorders, and evaluation of continuing education opportunities.<br><b>Supplemental Material S1. </b>Cross-tabulation of all responses by years of experience to Item 13: Check how frequently you have used the following approaches to treat CAS. <br><b>Supplemental Material S2. </b>Cross-tabulation of responses by years of experience for Item 16: How indicative are these characteristics and considerations CAS over other pediatric speech sound disorders? <br><b>Supplemental Material S3. </b>Cross-tabulation of responses by years of experience to Item 17: Please rate the degree to which the following influence your perspective on pediatric speech sound disorders. <br><b>Supplemental Material S4. </b>Cross-tabulation of responses by years of experience to Item 18: For the following statements please rate your level of agreement. <br>Randazzo, M. (2019). A survey of clinicians with specialization in childhood apraxia of speech.<i> American Journal of Speech-Language Pathology</i><i>, </i><i>28</i>(4), 1659–1672. https://doi.org/10.1044/2019_AJSLP-19-0034
DOI: 10.6084/m9.figshare.9755453
title: phonons

description: <pre>Matbench v0.1 test dataset for predicting vibration properties from crystal structure. Original data retrieved from Petretto et al. Original calculations done via ABINIT in the harmonic approximation based on density functional perturbation theory. Removed entries having a formation energy (or energy above the convex hull) more than 150meV.</pre>
DOI: 10.6084/m9.figshare.9755456
title: steels

description: <pre>Matbench v0.1 dataset for predicting steel yield strengths from chemical composition alone. Retrieved from Citrine informatics. Deduplicated.</pre>
DOI: 10.23641/asha.9755459.v1
title: Survey of clinicians with specialization in CAS (Randazzo, 2019)

description: <b>Purpose: </b>Little is known about how clinicians develop expertise in childhood apraxia of speech (CAS), a rare speech disorder with heterogeneous presentation. The purpose of this survey study was to examine the beliefs and practices of clinicians specializing in CAS.<b>Method: </b>Speech-language pathologists who self-identify as having expertise in CAS (<i>n</i> = 165) completed an online survey regarding influences on clinical practice and beliefs about CAS. Practice patterns and perspectives regarding CAS were analyzed for respondents who self-identify as having expertise in CAS, across 4 experience bands (1–5, 6–10, 11–15, and 15+ years).<b>Results: </b>A majority of the respondents to this survey provide treatment to preschool-age children with CAS. Respondents report features used in differential diagnosis aligned with the American Speech-Language-Hearing Association’s (2007) technical report, with inconsistency as a key feature. Results suggest that continuing education courses are highly influential in the perceived development of expertise and perspectives regarding CAS. Respondents expressed uncertainty about comorbidity of CAS with other communication disorders. Overall, beliefs and practices are relatively uniform across levels of clinical experience.<b>Conclusions: </b>Practices and perspectives of clinicians who self-identify as having expertise with CAS are influenced by factors noted in previous literature. Results of this survey highlight the need for research on the development of expertise in the clinical management of CAS, updated consensus statements that reflect advances in current research, clarification regarding comorbidity of CAS with other communication disorders, and evaluation of continuing education opportunities.<br><b>Supplemental Material S1. </b>Cross-tabulation of all responses by years of experience to Item 13: Check how frequently you have used the following approaches to treat CAS. <br><b>Supplemental Material S2. </b>Cross-tabulation of responses by years of experience for Item 16: How indicative are these characteristics and considerations CAS over other pediatric speech sound disorders? <br><b>Supplemental Material S3. </b>Cross-tabulation of responses by years of experience to Item 17: Please rate the degree to which the following influence your perspective on pediatric speech sound disorders. <br><b>Supplemental Material S4. </b>Cross-tabulation of responses by years of experience to Item 18: For the following statements please rate your level of agreement. <br>Randazzo, M. (2019). A survey of clinicians with specialization in childhood apraxia of speech.<i> American Journal of Speech-Language Pathology</i><i>, </i><i>28</i>(4), 1659–1672. https://doi.org/10.1044/2019_AJSLP-19-0034
DOI: 10.6084/m9.figshare.9755447
title: Rawdata information

description: rawdata patients information
DOI: 10.6084/m9.figshare.9755450
title: mp_is_metal

description: <pre>Matbench v0.1 test dataset for predicting DFT metallicity from structure. Adapted from Materials Project database. Removed entries having a formation energy (or energy above the convex hull) more than 150meV and those containing noble gases.. Retrieved April 2, 2019.</pre>
DOI: 10.6084/m9.figshare.9755432
title: mp_e_form

description: <pre>Matbench v0.1 test dataset for predicting DFT formation energy from structure. Adapted from Materials Project database. Removed entries having formation energy more than 3.0eV and those containing noble gases. Retrieved April 2, 2019.</pre>
DOI: 10.6084/m9.figshare.9755447.v1
title: Rawdata information

description: rawdata patients information
DOI: 10.6084/m9.figshare.9755402
title: Supplemental data.xlsx

description: supplemental data
DOI: 10.6084/m9.figshare.9755402.v1
title: Supplemental data.xlsx

description: supplemental data
DOI: 10.6084/m9.figshare.9755231
title: Ecological traits of common seabird bycatch species

description: Ecological traits of seabirds commonly found in pelagic longline fisheries in Indian Ocean, Southern Ocean, Coral Sea and Central Pacific Ocean.See https://hvoltbb.github.io/data/ for more.
DOI: 10.6084/m9.figshare.9755231.v1
title: Ecological traits of common seabird bycatch species

description: Ecological traits of seabirds commonly found in pelagic longline fisheries in Indian Ocean, Southern Ocean, Coral Sea and Central Pacific Ocean.See https://hvoltbb.github.io/data/ for more.
DOI: 10.6084/m9.figshare.9754916
title: PIV videos of clusters of Cassiopea (vertical jet)

description: Videos used to calculate the effect of close neighbors on the strength of the vertical jet produced by Cassiopea. Specimens were placed in the center of a 45cm cubic aquarium, and imaged from the front using a Nikon D750 DSLR camera at 50 frames per second. Arrangements with different numbers of neighbors around the central individual were imaged.<br>
DOI: 10.6084/m9.figshare.9755231.v3
title: Ecological traits of common seabird bycatch species

description: Ecological traits of seabirds commonly found in pelagic longline fisheries in Indian Ocean, Southern Ocean, Coral Sea and Central Pacific Ocean.See https://hvoltbb.github.io/data/ for more.
DOI: 10.6084/m9.figshare.9753848
title: Panc-1 NMR data

description: Raw Data for Panc-1 cell line for <b>Influence of Drying Method on NMR-Based Metabolic Profiling of Human Cell Lines</b> project.
DOI: 10.6084/m9.figshare.9755231.v2
title: Ecological traits of common seabird bycatch species

description: Ecological traits of seabirds commonly found in pelagic longline fisheries in Indian Ocean, Southern Ocean, Coral Sea and Central Pacific Ocean.See https://hvoltbb.github.io/data/ for more.
DOI: 10.6084/m9.figshare.9753149
title: PIV videos of Cassiopea vertical jets

description: The videos used to calculate the shape and flux of the vertical jet produced by Cassiopea by Particle Image Velocimetry (PIV).
DOI: 10.6084/m9.figshare.9752972
title: AsPC-1 NMR data

description: Raw Data for AsPC-1 cell line for <b>Influence of Drying Method on NMR-Based Metabolic Profiling of Human Cell Lines</b> project.
DOI: 10.6084/m9.figshare.9752999
title: Certification of analysis of Human Wnt6 ELISA Kit

description: Certification of analysis of Human Wnt6 ELISA Kit
DOI: 10.6084/m9.figshare.9753311
title: MiaPaCa-2 NMR data

description: Raw Data for MiaPaCa-2 cell line for <b>Influence of Drying Method on NMR-Based Metabolic Profiling of Human Cell Lines</b> project.
DOI: 10.6084/m9.figshare.9753311.v1
title: MiaPaCa-2 NMR data

description: Raw Data for MiaPaCa-2 cell line for <b>Influence of Drying Method on NMR-Based Metabolic Profiling of Human Cell Lines</b> project.
DOI: 10.6084/m9.figshare.9752903
title: Source data Alseth et al. 2019

description: Source data for paper titled "Bacterial biodiversity drives the evolution of CRISPR-based phage resistance". Files are named according to the figure they belong to, including separate files for the Kaplan-Meier (KM) analysis of larvae mortality. All analyses were done in R.
DOI: 10.6084/m9.figshare.9752999.v2
title: Certification of analysis of Human Wnt6 ELISA Kit

description: Certification of analysis of Human Wnt6 ELISA Kit
DOI: 10.6084/m9.figshare.9752999.v1
title: The Certification of analysis of Product Name：ELISA Kit for Wingless Type MMTV Integration Site Family, Member 6 (WNT6).doc

description: The Certification of analysis of Product Name：ELISA Kit for Wingless Type MMTV Integration Site Family, Member 6 (WNT6)
DOI: 10.6084/m9.figshare.9752858
title: Fraction Lipophilicity Index (FLI). A drug-like metric for orally administered ionizable drugs

description: Fraction Lipophilicity Index (FLI) was developed as a metric for assessing drug likeness of ionizable oral drugs. Considering that both log <i>P</i> and log <i>D</i> have distinct roles in drug action, the metric FLI allocates lipophilicity to a pH dependent neutral fraction of the molecule and is a weighted combination of log <i>P</i> and log <i>D</i>. It is expressed by equation: FLI = 2 x log <i>P</i>–│log <i>D</i>│. A dataset of 368 basic and acidic drugs was analyzed. Based on available % absorption data, drugs were classified into class 1 (268 drugs) and class 2 (100 drugs). The freeware MedChem Designer was used for log <i>P</i> and log <i>D</i> calculations at pH 7.4 and pH 5.5 for acids. Based on class 1, a drug-like FLI range 0–8 was defined. FLI distribution for class 2 is shifted towards significantly lower values. Comparison of FLI with rule of 5 (Ro5) shows that it leads to fewer values outside the established range than the corresponding log <i>P</i> violations for class 1. For class 2 it gives more alerts than Ro5 and can be considered complementary to Ro5, while it also sets lower limits to discriminate drugs with poor absorption.
DOI: 10.6084/m9.figshare.9752858.v1
title: Fraction Lipophilicity Index (FLI). A drug-like metric for orally administered ionizable drugs

description: Fraction Lipophilicity Index (FLI) was developed as a metric for assessing drug likeness of ionizable oral drugs. Considering that both log <i>P</i> and log <i>D</i> have distinct roles in drug action, the metric FLI allocates lipophilicity to a pH dependent neutral fraction of the molecule and is a weighted combination of log <i>P</i> and log <i>D</i>. It is expressed by equation: FLI = 2 x log <i>P</i>–│log <i>D</i>│. A dataset of 368 basic and acidic drugs was analyzed. Based on available % absorption data, drugs were classified into class 1 (268 drugs) and class 2 (100 drugs). The freeware MedChem Designer was used for log <i>P</i> and log <i>D</i> calculations at pH 7.4 and pH 5.5 for acids. Based on class 1, a drug-like FLI range 0–8 was defined. FLI distribution for class 2 is shifted towards significantly lower values. Comparison of FLI with rule of 5 (Ro5) shows that it leads to fewer values outside the established range than the corresponding log <i>P</i> violations for class 1. For class 2 it gives more alerts than Ro5 and can be considered complementary to Ro5, while it also sets lower limits to discriminate drugs with poor absorption.
DOI: 10.6084/m9.figshare.9752903.v1
title: Data for paper titled 'Bacterial biodiversity drives the evolution of CRISPR-based phage resistance'

description: Excel files are named according to the figure they belong to, including separate files for the Kaplan-Meier (KM) analysis of larvae mortality. All analyses were done in R.
DOI: 10.6084/m9.figshare.9752816
title: Rivality index neighbourhood algorithm with density and distances weighted schemes for the building of robust QSAR classification models with high reliable applicability domain

description: The rivality index (<i>RI</i>) is a normalized distance measurement between a molecule and their first nearest neighbours providing a robust prediction of the activity of a molecule based on the known activity of their nearest neighbours. Negative values of the RI describe molecules that would be correctly classified by a statistic algorithm and, vice versa, positive values of this index describe those molecules detected as outliers by the classification algorithms. In this paper, we have described a classification algorithm based on the <i>RI</i> and we have proposed four weighted schemes (kernels) for its calculation based on the measuring of different characteristics of the neighbourhood of molecules for each molecule of the dataset at established values of the threshold of neighbours. The results obtained have demonstrated that the proposed classification algorithm, based on the <i>RI</i>, generates more reliable and robust classification models than many of the more used and well-known machine learning algorithms. These results have been validated and corroborated by using 20 balanced and unbalanced benchmark datasets of different sizes and modelability. The classification models generated provide valuable information about the molecules of the dataset, the applicability domain of the models and the reliability of the predictions.
DOI: 10.6084/m9.figshare.9752816.v1
title: Rivality index neighbourhood algorithm with density and distances weighted schemes for the building of robust QSAR classification models with high reliable applicability domain

description: The rivality index (<i>RI</i>) is a normalized distance measurement between a molecule and their first nearest neighbours providing a robust prediction of the activity of a molecule based on the known activity of their nearest neighbours. Negative values of the RI describe molecules that would be correctly classified by a statistic algorithm and, vice versa, positive values of this index describe those molecules detected as outliers by the classification algorithms. In this paper, we have described a classification algorithm based on the <i>RI</i> and we have proposed four weighted schemes (kernels) for its calculation based on the measuring of different characteristics of the neighbourhood of molecules for each molecule of the dataset at established values of the threshold of neighbours. The results obtained have demonstrated that the proposed classification algorithm, based on the <i>RI</i>, generates more reliable and robust classification models than many of the more used and well-known machine learning algorithms. These results have been validated and corroborated by using 20 balanced and unbalanced benchmark datasets of different sizes and modelability. The classification models generated provide valuable information about the molecules of the dataset, the applicability domain of the models and the reliability of the predictions.
DOI: 10.6084/m9.figshare.9752813
title: Phage-centric ecological interactions in aquatic ecosystems revealed through ultra-deep metagenomics

description: Files containing phage and actinobacterial genomes, associated with the paper "Phage-centric ecological interactions in aquatic ecosystems revealed through ultra-deep metagenomics".Files containing phage and actinobacterial genomes, associated with the paper "Phage-centric ecological interactions in aquatic ecosystems revealed through ultra-deep metagenomics".
DOI: 10.6084/m9.figshare.9752903.v2
title: Source data

description: Source data. Files are named according to the figure they belong to, including separate files for the Kaplan-Meier (KM) analysis of larvae mortality All analyses were done in R.
DOI: 10.6084/m9.figshare.9752804
title: Copepod movement data in response to copper and kairomones

description: This data set contains individual tracking data from Tigriopus brevicornis which where exposed copper and kairomones. Together with the supplementary files from the publication's electronic appendix you can recreate the analysis of the manuscript "THE HIDDEN DIMENSION – CONTEXT-DEPENDENT EXPRESSION OF REPEATABLE BEHAVIOUR IN COPEPODS". https://doi.org/10.1002/etc.4688 In the publication you will also find details about the experimental conditions.<br>Explanation of columnsBottleID - identifies a unique bottle with one animal insideUniqueID - represents a single movie recordingUniqueIDTrackID - identifies a unique track within a recordingRun - represent the sequential recording of a bottleYear- YearDate - month day MMDDExpday - the day the experiment startedMovie - not usedFrame - Frame in the movieX - position on the x-axisY - position on the y-axisvelocity - not used… entry “speed” is correctnetdistance - in px.max_length - length of the track in framesmean.time - averaged frame of speed calculationspeed - frame to frame speed in mm/snumber.of.frames - number of frames of the uniqueTrackTreatment - applied treatment to the bottle.Starttime - date and star time based on sometimes wrong dates from the raspberry pi Copper - Copper or NoCopper in the treatmentKairomone - 2 Levels: Kairomone, NoKairomoneAlive.at.end - was the focal animal alive (1) or dead (0)nauplii.at.end - did nauplii hatch during the experimental time (1) or not (0)eggsacatend - did the female have an eggsac at the end (1) or not(0)pHbefore - pH value of the water beforepH - pH afterSalinity - PSULabel - picture ID from which the animal was measuredLength - length in pixels. Lengthinmm - length of the animal in mmX1mminpix - 1 mm in pixelsSizeMM - size of the animal in pixelsYmm - watercolumn height in mm<br><br><br><br>
DOI: 10.6084/m9.figshare.9752795
title: Systematic review and network meta-analysis of the efficacy and safety of lidocaine 700 mg medicated plaster vs. pregabalin

description: <b>Objective:</b> Neuropathic pain prevalence is estimated between 7% and 10% of the population. International guidelines recommend a variety of drugs at different therapy lines for pain relief. However, side effect profiles, for example, prompted the UK government recently to classify pregabalin and gabapentin as class C drugs. Lidocaine 700 mg medicated plaster (LMP) might be a safer alternative. A systematic review assessed how LMP and pregabalin compared in terms of efficacy and safety. The review focused on pain reduction, quality of life and adverse events in peripheral neuropathic pain (PNP) i.e. post-herpetic neuralgia, diabetic peripheral neuropathy, post-surgical/trauma, or other PNP conditions. <b>Methods:</b> Electronic databases were searched as well as a number of other sources up to November 2018. Sensitive strategies were used, with no restriction by language or publication status. Two independent reviewers screened records and extracted data with consensus determining final decisions. Risk of bias was assessed using the Cochrane Collaboration 2011 checklist for RCTs. Full network meta-analysis was conducted to compare LMP to pregabalin 300/600 mg in terms of pain reduction, quality of life, as well as serious adverse events and selected adverse events. Trials with enriched enrolment design were excluded. <b>Results:</b> Searches retrieved 7,104 records. In total 111 references pertaining to 43 RCTs were included for data extraction. Bayesian network meta-analysis of several pain outcomes showed no clear difference in efficacy between treatments However, LMP was clearly advantageous in terms of dizziness and any adverse event vs. pregabalin 600 mg/day and discontinuations vs. pregabalin 300 mg/day or 600 mg/day, as well as being associated with improved quality of life (albeit in this case based on weak evidence). <b>Conclusions:</b> LMP was found to be similar to pregabalin in reducing pain in all populations but had a better adverse events profile.
DOI: 10.6084/m9.figshare.9752903.v3
title: Source data Alseth et al. 2019

description: Source data for paper titled "Bacterial biodiversity drives the evolution of CRISPR-based phage resistance". Files are named according to the figure they belong to, including separate files for the Kaplan-Meier (KM) analysis of larvae mortality. All analyses were done in R.