cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6671792.v3
title: Dunes in the North coast of Sergipe, Brazil: diversity of plants and ecological traits

description: Additional material from the paper "Dunes in the North coast of Sergipe, Brazil: diversity of plants and ecological traits" submitted to Rodriguésia journal (2018).<br>Files list:<br>1- Coordinates and description of the location of the dunes sampled in the interior and surroundings of Biological Reserve of Santa Isabel, north coast of Sergipe state, Northeastern Brazil (.csv).<br>2- Angiosperms collected in dunes studied in the interior and surroundings of Biological Reserve of Santa Isabel, north coast of Sergipe state, Northeastern Brazil. CD = continental dune feature; LD = litoraneous dunes feature. FT = fruit type; Ac = achene; Ba = bacca; Ca = capsule; Cr = caryopsis; Cy = cypsela; Dr = drupe; Sc = schizocarp; Fo = follicle; Le = legume; Lo = lomentum; Nu = nucula (nut type); Py = pyxidium. DS = dispersal syndrome; An = anemochory; Au = autochory; Zo = zoochory. LF = Raunkiaer’s life forms; Ch = chamaephyte; Ph = phanerophyte; Hc = hemicryptophyte; He = hemiepiphyte; Li = liana; Th = therophyte. * = invasive/alien species (.csv). <br>3- Raw data of the soil chemical analysis of the samples in the dune features studied in the interior and surroundings of Biological Reserve of Santa Isabel, north coast of Sergipe state, Northeastern Brazil (.csv).<br>4- Sampling points of the dune features sampled, being one inside and another in the vicinity, of the Biological Reserve (REBIO) of Santa Isabel, Pirambu County, North coast of Sergipe State, Northeastern Brazil. Boundaries of REBIO Santa Isabel according ICMBio (2017). Source of polygons and aerial photographs: Atlas Digital - SRH 2013/SEPLANTEC-SE 2003. Preparation: Eduardo V. S. Oliveira, UTM Projection; Datum Sirgas 2000, Zone 24 S. (.jpg).<br>5- Sampled dunes in the studied features of Santa Isabel Biological Reserve, Pirambu County, Northern coast of Sergipe State, Northeastern Brazil. CD = continental dune; LD = litoraneous dunes (.jpg).<br>6- The most species rich families (a), percentage of species by dispersal syndrome (b) and Raunkiaer’s life forms (c) in the dune features studied in the interior and surroundings of Biological Reserve of Santa Isabel, north coast of Sergipe state, Northeastern Brazil (jpg.). <br>7- Non-Metric Multidimensional Scaling (NMDS, based on the Euclidian distances) of the relation between the spectra of life forms in the main Brazilian phytogeographic domains and the dune features studied in inlands and in surrounding areas of Santa Isabel Biological Reserve, Northern coast of Sergipe State, Northeastern Brazil. CD = continental dune; and LD = litoraneous dunes (.jpg). <br>8- R script of nMDS analysis (.txt).<br>
DOI: 10.6084/m9.figshare.6671771
title: Elizabeth Usher Memorial Lecture: How do we change our profession? Using the lens of behavioural economics to improve evidence-based practice in speech-language pathology

description: Evidence-based practice (EBP) is a well-accepted theoretical framework around which speech-language pathologists strive to build their clinical decisions. The profession’s conceptualisation of EBP has been evolving over the last 20 years with the practice of EBP now needing to balance research evidence, clinical data and informed patient choices. However, although EBP is not a new concept, as a profession, we seem to be no closer to closing the gap between research evidence and practice than we were at the start of the movement toward EBP in the late 1990s. This paper examines why speech-language pathologists find it difficult to change our own practice when we are experts in changing the behaviour of others. Using the lens of behavioural economics to examine the heuristics and cognitive processes which facilitate and inhibit change, the paper explores research showing how inconsistency of belief and action, or cognitive dissonance, is inevitable unless we act reflectively instead of automatically. The paper argues that heuristics that prevent us changing our practice toward EBP include the sunk cost fallacy, loss aversion, social desirability bias, choice overload and inertia. These automatic cognitive processes work to inhibit change and may partially account for the slow translation of research into practice. Fortunately, understanding and using other heuristics such as the framing effect, reciprocity, social proof, consistency and commitment may help us to understand our own behaviour as speech-language pathologists and help the profession, and those we work with, move towards EBP.
DOI: 10.6084/m9.figshare.6671771.v1
title: Elizabeth Usher Memorial Lecture: How do we change our profession? Using the lens of behavioural economics to improve evidence-based practice in speech-language pathology

description: Evidence-based practice (EBP) is a well-accepted theoretical framework around which speech-language pathologists strive to build their clinical decisions. The profession’s conceptualisation of EBP has been evolving over the last 20 years with the practice of EBP now needing to balance research evidence, clinical data and informed patient choices. However, although EBP is not a new concept, as a profession, we seem to be no closer to closing the gap between research evidence and practice than we were at the start of the movement toward EBP in the late 1990s. This paper examines why speech-language pathologists find it difficult to change our own practice when we are experts in changing the behaviour of others. Using the lens of behavioural economics to examine the heuristics and cognitive processes which facilitate and inhibit change, the paper explores research showing how inconsistency of belief and action, or cognitive dissonance, is inevitable unless we act reflectively instead of automatically. The paper argues that heuristics that prevent us changing our practice toward EBP include the sunk cost fallacy, loss aversion, social desirability bias, choice overload and inertia. These automatic cognitive processes work to inhibit change and may partially account for the slow translation of research into practice. Fortunately, understanding and using other heuristics such as the framing effect, reciprocity, social proof, consistency and commitment may help us to understand our own behaviour as speech-language pathologists and help the profession, and those we work with, move towards EBP.
DOI: 10.6084/m9.figshare.6671735
title: Antarctic deep-sea sponge microbiota - KEGG Orthologs

description: Supplementary Data 2<br>KEGG Orthologs relative abundance table <br>
DOI: 10.6084/m9.figshare.6671735.v1
title: Antarctic deep-sea sponge microbiota - KEGG Orthologs

description: Supplementary Data 2<br>KEGG Orthologs relative abundance table <br>
DOI: 10.6084/m9.figshare.6671732
title: Diversity, distribution, and azaspiracids of Amphidomataceae (Dinophyceae) along the Norwegian coast

description: Alignment of ribosomal DNA sequences (SSU, ITS, LSU) of 30 strains of marine dinoflagellates in the genera<i> Azadinium </i>and <i>Amphidoma isolated from Norway, </i>and 33 reference sequences.
DOI: 10.6084/m9.figshare.6671732.v1
title: Diversity, distribution, and azaspiracids of Amphidomataceae (Dinophyceae) along the Norwegian coast

description: Alignment of ribosomal DNA sequences (SSU, ITS, LSU) of 30 strains of marine dinoflagellates in the genera<i> Azadinium </i>and <i>Amphidoma isolated from Norway, </i>and 33 reference sequences.
DOI: 10.6084/m9.figshare.6671726
title: Antarctic deep-sea sponge microbiota - KEGG pathways

description: Supplementary Data 3<br>KEGG pathways relative abundance table <br>
DOI: 10.6084/m9.figshare.6671726.v1
title: Antarctic deep-sea sponge microbiota - KEGG Orthologs

description: Supplementary Data 2<br>KEGG Orthologs relative abundance table <br>
DOI: 10.6084/m9.figshare.6671720
title: Antarctic deep-sea sponge microbiota - OTU table

description: Supplementary Data1<br>16S rRNA 97% OTU table including the SILVA128 taxonomy for each individual OTU<br>
DOI: 10.6084/m9.figshare.6671720.v1
title: Antarctic deep-sea sponge microbiota - OTU table

description: Supplementary Data1<br>16S rRNA 97% OTU table including the SILVA128 taxonomy for each individual OTU<br>
DOI: 10.6084/m9.figshare.6671228
title: Sexual risk in Colombian adolescents

description: Databases used in the analysis of sexual risks in adolescents in Colombia.
DOI: 10.6084/m9.figshare.6671228.v2
title: Sexual risk in Colombian adolescents

description: Databases used in the analysis of sexual risks in adolescents in Colombia.
DOI: 10.6084/m9.figshare.6671228.v1
title: Sexual risk in Colombian adolescents

description: Databases used in the analysis of sexual risks in adolescents in Colombia.
DOI: 10.6084/m9.figshare.6671213
title: dataset.xlsx

description: Classifiers built from increasingly larger train sets were used to generate accuracy values.
DOI: 10.6084/m9.figshare.6671201
title: json file

description: json file
DOI: 10.6084/m9.figshare.6671186
title: Nodes

description: Nodes
DOI: 10.6084/m9.figshare.6671186.v1
title: Nodes

description: Nodes
DOI: 10.6084/m9.figshare.6670820
title: Childhood SES and EF in childhood and beyond

description: Socioeconomic status (SES) predicts health, wellbeing, and cognitive ability, including executive function (EF). A body of recent work has shown that childhood SES is positively related to EF, but it is not known whether this disparity grows, diminishes or holds steady over development, from childhood through adulthood. We examined the association between childhood SES and EF in a sample ranging from 9-25 years of age, with six canonical EF tasks. Analyzing the tasks together and in functionally defined groups, we found positive relations between SES and EF, and the relations did not vary by age. Analyzing the tasks separately, SES was positively associated with performance in some but not all EF measures, depending on the covariates used, again without varying by age. These results add to a growing body of evidence that childhood SES is associated with EF abilities, and contribute novel evidence concerning the persistence of this association into early adulthood.
DOI: 10.6084/m9.figshare.6670805
title: ShawM_PLOSONE_2018.zip

description: This archive contains the data presented in 'Three-dimensional behavioural phenotyping of freely moving C. elegans using quantitative light field microscopy' by Michael Shaw et al., PLOS ONE (2018). Each subfolder within the archive contains a plain text readme file describing the contents.
DOI: 10.6084/m9.figshare.6670805.v1
title: ShawM_PLOSONE_2018.zip

description: This archive contains the data presented in 'Three-dimensional behavioural phenotyping of freely moving C. elegans using quantitative light field microscopy' by Michael Shaw et al., PLOS ONE (2018). Each subfolder within the archive contains a plain text readme file describing the contents.
DOI: 10.6084/m9.figshare.6670721
title: Final nanopore-only assemblies - all strains

description: These files contain the final assemblies produced using our long-read-only pipeline (Canu pre-correction followed by Flye and Nanopolish) for Bordetella pertussis UK36, UK38, UK39, UK48, UK76
DOI: 10.6084/m9.figshare.6670721.v1
title: Final nanopore-only assemblies - all strains

description: These files contain the final assemblies produced using our long-read-only pipeline (Canu pre-correction followed by Flye and Nanopolish) for Bordetella pertussis UK36, UK38, UK39, UK48, UK76
DOI: 10.6084/m9.figshare.6670454
title: Final hybrid assemblies - all strains

description: These files contain the final assemblies produced using our hybrid pipeline (Canu pre-correction followed by Unicycler with long and short reads) for Bordetella pertussis UK36, UK38, UK39, UK48, UK76
DOI: 10.6084/m9.figshare.6670454.v1
title: Final hybrid assemblies - all strains

description: These files contain the final assemblies produced using our hybrid pipeline (Canu pre-correction followed by Unicycler with long and short reads) for Bordetella pertussis UK36, UK38, UK39, UK48, UK76
DOI: 10.6084/m9.figshare.6670454.v3
title: Final hybrid assemblies - all strains

description: These files contain the final assemblies produced using our hybrid pipeline (Canu pre-correction followed by Unicycler with long and short reads) for Bordetella pertussis UK36, UK38, UK39, UK48, UK76
DOI: 10.6084/m9.figshare.6670454.v2
title: Final hybrid assemblies - all strains

description: These files contain the final assemblies produced using our hybrid pipeline (Canu pre-correction followed by Unicycler with long and short reads) for Bordetella pertussis UK36, UK38, UK39, UK48, UK76
DOI: 10.6084/m9.figshare.6669965
title: Suda et al_WCB2018

description: Poster presented at WCB2018
DOI: 10.6084/m9.figshare.6669275
title: Data and analyses associated with "Dermal mycobacteriosis and warming sea surface temperatures are associated with elevated mortality of striped bass in Chesapeake Bay"

description: The following data and analyses (R-code) are associated with the manuscript:<br>Groner ML, Hoenig JM, Pradel R, Choquet R, Vogelbein, WK, Gauthier, DT, Friedrichs MAM. Dermal mycobacteriosis and warming sea surface temperatures are associated with elevated mortality of striped bass in Chesapeake Bay. 2018 Ecology and Evolution<br><br><b>Data</b>1) SB recap data for esurge.txt: Dataset on striped bass mark-recapture from 2005-2013 as described in the manuscript. Formatted for analysis in ESURGE<br> $COV:tag- tag number of unique fish H:year- year of study 1-2005, 2-2006, etc. COV:rel_fl- fork length at the time of tagging $COV:realage- age of fish at the time of tagging RC: indicates of data is right-censored (i.e., fish was removed at capture)<br> *Note that this data was modified from the dataset available on dryad (https://datadryad.org/resource/doi:10.5061/dryad.f56v8/3), in order to fit the E-SURGE format.<br>2) SB Survival best-fit MMSMR.csv: Estimated survival of striped bass by year and disease state from the best-fit MMSMR model<br>3) SB state Transitions best-fit MMSMR.csv: Estimated transitions betwee disease states from the best-fit MMSMR model<br>4) SB Encounter rates best-fit MMSMR.csv: Estimated catchability of striped bass by year and disease state from the best-fit MMSMR model<br>5) SB Survival temp-dependent.csv: Survival rates of striped bass as a function of disease state and average summer SST<br>6) Environmental covariates.csv: yearly averages for average summer SST, #days &gt; 25 C, #days &lt; 5.1 mg/L Dissolved oxygen, average water flow<b><br></b><b>R-code:</b>1) Graph SB best-fit MMSMR output.R: graphs results from best fit MMSMR (not including environmental covariates) uses datasets 2,3,4 listed above<br>2) MMSMR results with environmental covariates.R: graphs results from best model in table 3 (include environmental covariates of survival) uses datasets 5, 6 listed above<br>3) Temperature-dependent population projection.R: projects and graphs a cohort of 10,000 3+ year old striped bass given different average summer SSTs<br><br>
DOI: 10.6084/m9.figshare.6669275.v2
title: Data and analyses associated with "Dermal mycobacteriosis and warming sea surface temperatures are associated with elevated mortality of striped bass in Chesapeake Bay"

description: The following data and analyses (R-code) are associated with the manuscript:<br>Groner ML, Hoenig JM, Pradel R, Choquet R, Vogelbein, WK, Gauthier, DT, Friedrichs MAM. Dermal mycobacteriosis and warming sea surface temperatures are associated with elevated mortality of striped bass in Chesapeake Bay. 2018 Ecology and Evolution<br><br><b>Data</b>1) SB recap data for esurge.txt: Dataset on striped bass mark-recapture from 2005-2013 as described in the manuscript. Formatted for analysis in ESURGE<br> $COV:tag- tag number of unique fish H:year- year of study 1-2005, 2-2006, etc. COV:rel_fl- fork length at the time of tagging $COV:realage- age of fish at the time of tagging RC: indicates of data is right-censored (i.e., fish was removed at capture)<br> *Note that this data was modified from the dataset available on dryad (https://datadryad.org/resource/doi:10.5061/dryad.f56v8/3), in order to fit the E-SURGE format.<br>2) SB Survival best-fit MMSMR.csv: Estimated survival of striped bass by year and disease state from the best-fit MMSMR model<br>3) SB state Transitions best-fit MMSMR.csv: Estimated transitions betwee disease states from the best-fit MMSMR model<br>4) SB Encounter rates best-fit MMSMR.csv: Estimated catchability of striped bass by year and disease state from the best-fit MMSMR model<br>5) SB Survival temp-dependent.csv: Survival rates of striped bass as a function of disease state and average summer SST<br>6) Environmental covariates.csv: yearly averages for average summer SST, #days &gt; 25 C, #days &lt; 5.1 mg/L Dissolved oxygen, average water flow<b><br></b><b>R-code:</b>1) Graph SB best-fit MMSMR output.R: graphs results from best fit MMSMR (not including environmental covariates) uses datasets 2,3,4 listed above<br>2) MMSMR results with environmental covariates.R: graphs results from best model in table 3 (include environmental covariates of survival) uses datasets 5, 6 listed above<br>3) Temperature-dependent population projection.R: projects and graphs a cohort of 10,000 3+ year old striped bass given different average summer SSTs<br><br>
DOI: 10.6084/m9.figshare.6669275.v1
title: Data associated with "Dermal mycobacteriosis and warming sea surface temperatures are associated with elevated mortality of striped bass in Chesapeake Bay"

description: The following data are associated with the manuscript:<br>Groner ML, Hoenig JM, Pradel R, Choquet R, Vogelbein, WK, Gauthier, DT, Friedrichs MAM. Dermal mycobacteriosis and warming sea surface temperatures are associated with elevated mortality of striped bass in Chesapeake Bay. 2018 Ecology and Evolution<br><br>Data1) SB recap data for esurge.txt: Dataset on striped bass mark-recapture from 2005-2013 as described in the manuscript. Formatted for analysis in ESURGE<br> $COV:tag- tag number of unique fish H:year- year of study 1-2005, 2-2006, etc. COV:rel_fl- fork length at the time of tagging $COV:realage- age of fish at the time of tagging RC: indicates of data is right-censored (i.e., fish was removed at capture)<br> *Note that this data was modified from the dataset available on dryad (https://datadryad.org/resource/doi:10.5061/dryad.f56v8/3), in order to fit the E-SURGE format.<br>2) SB Survival best-fit MMSMR.csv: Estimated survival of striped bass by year and disease state from the best-fit MMSMR model<br>3) SB state Transitions best-fit MMSMR.csv: Estimated transitions betwee disease states from the best-fit MMSMR model<br>4) SB Encounter rates best-fit MMSMR.csv: Estimated catchability of striped bass by year and disease state from the best-fit MMSMR model<br>5) SB Survival temp-dependent.csv: Survival rates of striped bass as a function of disease state and average summer SST<br>6) Environmental covariates.csv: yearly averages for average summer SST, #days &gt; 25 C, #days &lt; 5.1 mg/L Dissolved oxygen, average water flow<br>
DOI: 10.6084/m9.figshare.6669251
title: CERQ-k Spanish version

description: Database used for the validation of the CERQ-k Spanish version
DOI: 10.6084/m9.figshare.6669128
title: ESM 1 from The pitch of babies’ cries predicts their voice pitch at age 5

description: Supporting dataset and Table S1
DOI: 10.6084/m9.figshare.6669128.v1
title: ESM 1 from The pitch of babies’ cries predicts their voice pitch at age 5

description: Supporting dataset and Table S1
DOI: 10.6084/m9.figshare.6669068
title: PRStudy_Database.xlsx

description: This is a dataset that supports the findings of a research study.
DOI: 10.6084/m9.figshare.6669047
title: XRAYVISION

description: A presentation / live demo I gave at the REHSSI 17 workshop about a python package 'XRAYVISION' for Fouier type solar imagers such as Yoko/HXT, RHESSI and SolarOrbiter/STIX. Made using jupyter, mybinder and rise
DOI: 10.6084/m9.figshare.6668960
title: AGILE: An assembled genome mining pipeline

description: Singularity and Virtual drive images with all dependencies and binaries pre-installed and configured.<br><br>Readme file for singularity is also included.<br>
DOI: 10.6084/m9.figshare.6668960.v1
title: AGILE: An assembled genome mining pipeline

description: Singularity and Virtual drive images with all dependencies and binaries pre-installed and configured.<br><br>Readme file for singularity is also included.<br>
DOI: 10.6084/m9.figshare.6668936
title: Heteroblasty in African Restionaceae

description: This are the somewhat commented R scripts and datasets associated to the publication: <br><br>"Ecophysiological strategy switch through development in heteroblastic species of mediterranean ecosystems – an example in the African Restionaceae" <br><br>by <br>Merten Ehmig, Mario Coiro, H. Peter Linder.<br>published 2018 in Annals of Botany<br><br>This fileset includes a censored file of species occurences. The uncesored file can be found here: https://doi.org/10.6084/m9.figshare.7205684.v1 (embargoed until October 2019)<br><br>If you have any questions regarding scripts or data please address Merten Ehmig via mail: merten.ehmig@systbot.uzh.ch, or cropbird@ymail.com<br><br><br>if you use this script or data, pleas cite the Annals of Botany Paper
DOI: 10.6084/m9.figshare.6668936.v1
title: Heteroblasty in African Restionaceae

description: This are the somewhat commented R scripts and datasets associated to the publication: <br><br>"Ecophysiological strategy switch through development in heteroblastic species of mediterranean ecosystems – an example in the African Restionaceae" <br><br>by <br>Merten Ehmig, Mario Coiro, H. Peter Linder.<br>published 2018 in Annals of Botany<br>If you have any questions regarding scripts or data please address Merten Ehmig via mail: merten.ehmig@systbot.uzh.ch, or cropbird@ymail.com<br><br><br><br>
DOI: 10.6084/m9.figshare.6668867
title: Supplementary Material for: Cardiac Valve Annulus Diameters in Extremely Preterm Infants: A Cross-Sectional Echocardiographic Study

description: <b><i>Background:</i></b> With the increasing incidence of births of very preterm very-low-birth-weight infants, there is a demand for echocardiographic reference values of cardiac dimensions. <b><i>Objectives:</i></b> The aim of this study was to provide reference values of cardiac valve annulus diameters in a cohort of extremely preterm very-low-birth-weight neonates and to correlate these with patient characteristics. <b><i>Methods:</i></b> Valve diameters of 376 infants of &lt; 32 weeks’ gestation and with a birth weight of ≤2,000 g were measured using 2-dimensional echocardiography. Correlations between valve diameters and patient characteristics (birth length/weight, body surface area, gestational age, and sex) were assessed. Birth weight was used to establish linear regression models. Inter- and intraobserver agreement was assessed through intraclass correlation coefficient (ICC) analysis. <b><i>Results:</i></b> Substantial variability was found (aortic valve mean [standard deviation; range]: 5.0 mm [0.6; 3.7–6.5]; pulmonic valve: 5.8 mm [0.8; 3.4–7.9]; mitral valve: 8.0 mm [1.0; 5.5–10.5]; tricuspid valve: 7.6 mm [1.2; 4.9–10.6]). There was a moderate correlation between birth weight and valve diameter (<i>R</i><sup>2</sup> aortic valve: 0.36; pulmonic valve: 0.20; mitral valve: 0.24; tricuspid valve: 0.24). Adequate intraobserver (ICC range 0.74–0.91) and interobserver agreement (ICC range 0.77–0.89) was found. <b><i>Conclusions:</i></b> Our study provides ready-to-use reference values for cardiac valve annulus diameters for extremely preterm infants.