cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.701525.v2
title: Data accompanying PLOS ONE article: "The Predictive Nature of Pseudoneglect for Visual Neglect: Evidence from Parietal Theta Burst Stimulation", by Alice Varnava, Martynas Dervinis, and Christopher D. Chambers. School of Psychology, Cardiff University.

description: The data and analyses layed out in this workbook are associated with the following paper published in PLOS ONE:<br>"The Predictive Nature of Pseudoneglect for Visual Neglect: Evidence from Parietal Theta Burst Stimulation"<br>DOI: 10.1371/journal.pone.0065851<br>AUTHORS: Alice Varnava; Martynas Dervinis; Christopher Chambers.<br>CORRESPONDING AUTHOR: Alice Varnava. VarnavaA@Cardiff.ac.uk
DOI: 10.6084/m9.figshare.701913.v4
title: OGrady Lab Collections

description: This file details 100 Drosophila collection events made between November 1996 and September 2000. Relevant collection, access, import and export permits are appended. Species distribution maps, kmz files, and about 800 additional collections will be added in the next few weeks.
DOI: 10.6084/m9.figshare.701525.v1
title: Data accompanying PLOS ONE paper

description: The data and analyses layed out in this workbook are associated with the following paper published in PLOS ONE:<br>"The Predictive Nature of Pseudoneglect for Visual Neglect: Evidence from Parietal Theta Burst Stimulation"<br>DOI: 10.1371/journal.pone.0065851<br>AUTHORS: Alice Varnava; Martynas Dervinis; Christopher Chambers.<br>CORRESPONDING AUTHOR: Alice Varnava. VarnavaA@Cardiff.ac.uk
DOI: 10.6084/m9.figshare.701531.v1
title: Impact of blogging on open access papers

description: A summary of blog views following publication of open access papers and others picking up and pointing to blogs on my experience with this process.
DOI: 10.6084/m9.figshare.701913.v3
title: OGrady Lab Collections

description: This file details 100 Drosophila collection events made between November 1996 and September 2000. Relevant collection, access, import and export permits are appended. Species distribution maps, kmz files, and about 800 additional collections will be added in the next few weeks.
DOI: 10.6084/m9.figshare.701505.v1
title: Gaussian Job Archive for C6H10O2S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701504
title: Gaussian Job Archive for C6H10O2S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701504.v1
title: Gaussian Job Archive for C6H10O2S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701523.v1
title: Evolution of the RecA Protein: from systematics to structure

description: Slides for a talk at CALPEG Meeting in 1995
DOI: 10.6084/m9.figshare.701501.v1
title: Gaussian Job Archive for C6H10O2S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701496
title: Wavelet-based density estimation for large samples: a binning approach

description: From my PhD back in 2000...density estimation using wavelets. With approach to select the resolution parameter etc...
DOI: 10.6084/m9.figshare.701496.v1
title: Wavelet-based density estimation for large samples: a binning approach

description: From my PhD back in 2000...density estimation using wavelets. With approach to select the resolution parameter etc...
DOI: 10.6084/m9.figshare.701503.v1
title: A Comparative Study of the Performance of Selected DSP Based PWM Methods

description: In this paper a practical implementation of space vector modulation in digital signal processor is presented. The results of experimental investigation are shown. The selected method is compared with hysteresis current controller
DOI: 10.6084/m9.figshare.701494
title: Drosophila brain - central complex

description: A collection of figures describing the Drosophila central complex, a region of the fly brain involved in locomotion, vision, and learning and memory.
DOI: 10.6084/m9.figshare.701494.v1
title: Drosophila brain - central complex

description: A collection of figures describing the Drosophila central complex, a region of the fly brain involved in locomotion, vision, and learning and memory.
DOI: 10.6084/m9.figshare.701498.v1
title: Structural & Developmental Analysis of the Central Complex of Drosophila - poster

description: Poster describing the neuroanatomical structure & development of the central complex in the fruit fly <em>Drosophila melanogaster</em>. Presented at a meeting at Howard Hughes Medical Institute, Janelia Farm, USA in 2010.
DOI: 10.6084/m9.figshare.701497.v1
title: Neurons developing in the larval brain of the fruit fly

description: This movie was created from a stack of confocal microscope images of a 3rd instar larval brain from the fruit fly <em>Drosophila</em> <em>melanogaster</em>. The brain tissue was stained with anti-DE-cadherin. The axon tracts developing in the centre are secondary axon tracts. Two spherical brain hemispheres can be seen on either side of the upper part of the ventral nerve cord.
DOI: 10.6084/m9.figshare.701472
title: Gaussian Job Archive for C7H12O2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701476
title: Gaussian Job Archive for C6H10O2S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701483
title: Code archive accompanying paper "Finite Volume Modeling of Poroelastic-Fluid Wave Propagation with Mapped Grids"

description: This archive contains the computer code associated with the paper "Finite Volume Modeling of Poroelastic-Fluid Wave Propagation with Mapped Grids" by Grady I. Lemoine and M. Yvonne Ou. Clawpack 4.6 is required to run the simulations; see www.clawpack.org. All results in the paper can be reproduced from this archive.
DOI: 10.6084/m9.figshare.701483.v1
title: Code archive accompanying paper "Finite Volume Modeling of Poroelastic-Fluid Wave Propagation with Mapped Grids"

description: This archive contains the computer code associated with the paper "Finite Volume Modeling of Poroelastic-Fluid Wave Propagation with Mapped Grids" by Grady I. Lemoine and M. Yvonne Ou. Clawpack 4.6 is required to run the simulations; see www.clawpack.org. All results in the paper can be reproduced from this archive.
DOI: 10.6084/m9.figshare.701470
title: Gaussian Job Archive for C5H8O2S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701471
title: Gaussian Job Archive for C3H4Cl2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701472.v1
title: Gaussian Job Archive for C7H12O2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701476.v1
title: Gaussian Job Archive for C6H10O2S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701470.v1
title: Gaussian Job Archive for C5H8O2S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701471.v1
title: Gaussian Job Archive for C3H4Cl2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701469
title: Gaussian Job Archive for C5H8O2S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701482.v3
title: Evaluating Accessibility-in-Use

description: Evidence suggests that guidelines employed in conformance testing do not catch all the accessibility barriers encountered by users on the Web. Since accessibility is strongly tied to the users’ experience there is a subjective perception of accessibility barriers and their severity. What is more, not only intangible qualities characterise the way in which these barriers are perceived, but also navigation styles, age, onset, expertise and abilities play a key role. In order to overcome the limitations of conformance testing and catch the problems that emerge during the interaction we propose a user-interaction-driven method to automatically report accessibility problems. To do so, we initially isolate the problematic situations faced by users and the tactics employed in such situations. These tactics are considered behavioural markers of cognitive processes that indicate problematic situations; the presence of tactics denotes the presence of problems. Then, we design and deploy algorithms to automatically detect the exhibition of these tactics and consequently detect problematic situations. <em>WebTactics</em>, a tool that unobtrusively detects and reports the problematic situations undergone by visually disabled users illustrates the method we propose.
DOI: 10.6084/m9.figshare.701467.v1
title: Gaussian Job Archive for C6H10O2S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701469.v1
title: Gaussian Job Archive for C5H8O2S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701466.v1
title: Gaussian Job Archive for C5H8O2S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701468.v1
title: Gaussian Job Archive for C6H10O2S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701284
title: QAW: A Quality Assurance Workflow for Ontologies based on Detecting Semantic Regularities - Dataset on SNOMED

description: This page contains supplementary material for the EKAW 2014 submission with title: <em>"QAW: A Quality Assurance Workflow for Ontologies based on Detecting Semantic Regularities" </em>Eleni Mikroyannidi, Manuel Quesada-Mart ́ınez, Dmitry Tsarkov, Jesualdo Tomas Fernandez Breis, Robert Stevens, Ignazio Palmisano. The detection of regularities was done with the Regularity Inspector for Ontologies framework. The project is open source and can be downloaded from the Links below. The fileset contains the data for the qualitative and quantititative analysis that were presented in the paper. In the <strong>qualitative analysis</strong>, six lexical patterns (keywords) that were processed. These are: "chronic","acute", "absent", "present", "right", "left". For these ones the reader can browse and download the following data: 1. XML Files with the generic name $<strong>keyword_syntactic_usage.xml</strong> which contains the detected syntactic regularities for the referencing asserted axioms of the entities that contain the corresponding keyword in their label. There should be 6 files in total (for each keyword). 2. XML Files with the generic name $<strong>keyword_semantic_usage.xml</strong> which contains the detected syntactic regularities for the referencing asserted axioms of the entities that contain the keyword in their label. 3. Text files with the generic name $<strong>keyword_syntactic_usage_readable.txt</strong>, which contains a more readable format with label rendering of the syntactic regularities. 3. Text files with the generic name $<strong>keyword_semantic_usage_readable.txt</strong>, which contains a more readable format with label rendering of the semantic regularities. In the <strong>quantitative analysis</strong>, 308 lexical patterns were processed, and corresponding syntactic and semantic regularities were detected. The dataset that is available for the reader contains the following: 1. <strong>LexAnal_Snomed_2013_NoSensitiveAnalysis_Cov_0.1_100.0.xml</strong>, which contains all lexical patterns that could be detected in the SNOMED-CT version January 2013. 2. <strong>Snomed_2013_LexAnal_Full_0.1-0.4Perc_.xml</strong>, which contains all lexical patterns with 0.1%-0.4% lexical pattern threshold. 3. <strong>syntactic_regularities_dataset.zip</strong> which contains 308 xml files with the syntactic regularities that were generated by RIO. 4. <strong>semantic_regularities_dataset.zip</strong> which contains 308 xml files with the semantic regularities that were generated by RIO. 5. <strong>quantitative_syntactic_regularity_analysis.csv</strong>, which contains the syntactic regularity stat analysis for the 308 processed cases. 6.<strong> quantitative_semantic_regularity_analysis.csv, </strong>which contains the semantic regularity stat analysis for the 308 processed cases.
DOI: 10.6084/m9.figshare.701463.v1
title: Adventures in Quasi-Evolution

description: Lecture presented to BEACON Center on May 17th, 2013 (3:30pm).
DOI: 10.6084/m9.figshare.701284.v1
title: QAW: A Quality Assurance Workflow for Ontologies based on Detecting Semantic Regularities

description: Supplementary material for ISWC 2013 submission.
DOI: 10.6084/m9.figshare.701232
title: PHOTOCURRENT MEASUREMENTS AT THE INTERFACE BETWEEN 2 IMMISCIBLE ELECTROLYTE-SOLUTIONS

description: The electrochemical measurement of a photocurrent has been successfully achieved using the [Ruu(bpy)3]2+/C7V2+ (bpy = 2,2'-bipyridine, C7V2+ = heptyl-4,4'-bipyridinium) system across a Iiquid-liquid interface
DOI: 10.6084/m9.figshare.701284.v2
title: QAW: A Quality Assurance Workflow for Ontologies based on Detecting Semantic Regularities

description: Supplementary material for ISWC 2013 submission.
DOI: 10.6084/m9.figshare.701232.v1
title: PHOTOCURRENT MEASUREMENTS AT THE INTERFACE BETWEEN 2 IMMISCIBLE ELECTROLYTE-SOLUTIONS

description: The electrochemical measurement of a photocurrent has been successfully achieved using the [Ruu(bpy)3]2+/C7V2+ (bpy = 2,2'-bipyridine, C7V2+ = heptyl-4,4'-bipyridinium) system across a Iiquid-liquid interface
DOI: 10.6084/m9.figshare.701284.v3
title: QAW: A Quality Assurance Workflow for Ontologies based on Detecting Semantic Regularities - Dataset on SNOMED

description: This page contains supplementary material for the ISWC 2013 submission. The fileset contains the data for the qualitative and quantititative analysis that were presented in the paper. In the <strong>qualitative analysis</strong>, six lexical patterns (keywords) that were processed. These are: "chronic","acute", "absent", "present", "right", "left". For these ones the reader can browse and download the following data: 1. XML Files with the generic name <strong>_syntactic_usage.xml</strong> which contains the detected syntactic regularities for the referencing asserted axioms of the entities that contain the in their label. There should be 6 files in total (for each keyword). 2. XML Files with the generic name <strong>_semantic_usage.xml</strong> which contains the detected syntactic regularities for the referencing asserted axioms of the entities that contain the in their label. In the <strong>quantitative analysis</strong>, 308 lexical patterns were processed, and corresponding syntactic and semantic regularities were detected. The dataset that is available for the reader contains the following: 1. .xml, which contains all lexical patterns that could be detected in the SNOMED-CT version January 2013. 2. .xml, which contains all lexical patterns with 0.1%-0.4% lexical pattern threshold. 3. <strong>syntactic_regularities_dataset.zip</strong> which contains 308 xml files with the syntactic regularities that were generated by RIO. 4. <strong>semantic_regularities_dataset.zip</strong> which contains 308 xml files with the semantic regularities that were generated by RIO. 5. quantitative_syntactic_regularity_analysis.csv, which contains the syntactic regularity stat analysis for the 308 processed cases. 6.<strong> quantitative_semantic_regularity_analysis.csv,</strong> which contains the semantic regularity stat analysis for the 308 processed cases.
DOI: 10.6084/m9.figshare.701214
title: QPX Genome Browser Feature Tracks

description: Genomic feature tracks (<em>ie</em>bed, gff) from partial genome sequencing of QPX (Quahog Parasite Unknown). Data includes putative SNPs, RNA-seq data from cultures grown at two temperatures, and putative transcript locations based on sequence similarity searches. Feature tracks (and corresponding fasta file) developed to be viewed with Integrative Genomics Viewer (http://www.broadinstitute.org/igv/). Fileset includes sesssion file (.xml) to load all features. All data are also available at http://eagle.fish.washington.edu/QPX_genome/ The Emerging Infectious Marine Diseases Consortium and a National Science Foundation Research Coordination Network Grant provided support for the graduate course Ecology of Marine Infectious Diseases at Friday Harbor Marine Laboratory, WA, where the majority of this work took place.
DOI: 10.6084/m9.figshare.701216.v3
title: Benchmarking Web Accessibility Evaluation Tools: Measuring the Harm of Sole Reliance on Automated Tests

description: The use of web accessibility evaluation tools is a widespread practice. Evaluation tools are heavily employed as they help in reducing the burden of identifying accessibility barriers. However, an overreliance on automated tests often leads to setting aside further testing that entails expert evaluation and user tests. In this paper we empirically show the capabilities of current automated evaluation tools. To do so, we investigate the effectiveness of 6 state-of-the-art tools by analysing their coverage, completeness and correctness with regard to WCAG 2.0 conformance. We corroborate that relying on automated tests alone has negative effects and can have undesirable consequences. Coverage is very narrow as, at most, 50% of the success criteria are covered. Similarly, completeness ranges between 14% and 38%; however, some of the tools that exhibit higher completeness scores produce lower correctness scores (66-71%) due to the fact that catching as many violations as possible can lead to an increase in false positives. Therefore, relying on just automated tests entails that 1 of 2 success criteria will not even be analysed and among those analysed, only 4 out of 10 will be caught at the further risk of generating false positives.
DOI: 10.6084/m9.figshare.701203
title: Complete results for Including Co-referent URIs in a SPARQL Query

description: Raw results file used to generate the graphs. Complete set of graphs for the experiments in the paper with the same name.
DOI: 10.6084/m9.figshare.701284.v4
title: QAW: A Quality Assurance Workflow for Ontologies based on Detecting Semantic Regularities - Dataset on SNOMED

description: This page contains supplementary material for the ISWC 2013 submission with title: <em>"QAW: A Quality Assurance Workflow for Ontologies based on Detecting Semantic Regularities" </em>Eleni Mikroyannidi, Manuel Quesada-Mart ́ınez, Dmitry Tsarkov, Jesualdo Tomas Fernandez Breis, Robert Stevens, Ignazio Palmisano. The fileset contains the data for the qualitative and quantititative analysis that were presented in the paper. In the <strong>qualitative analysis</strong>, six lexical patterns (keywords) that were processed. These are: "chronic","acute", "absent", "present", "right", "left". For these ones the reader can browse and download the following data: 1. XML Files with the generic name "<strong>keyword"_syntactic_usage.xml</strong> which contains the detected syntactic regularities for the referencing asserted axioms of the entities that contain the corresponding keyword in their label. There should be 6 files in total (for each keyword). 2. XML Files with the generic name "<strong>keyword"_semantic_usage.xml</strong> which contains the detected syntactic regularities for the referencing asserted axioms of the entities that contain the keyword in their label. In the <strong>quantitative analysis</strong>, 308 lexical patterns were processed, and corresponding syntactic and semantic regularities were detected. The dataset that is available for the reader contains the following: 1. <strong>LexAnal_Snomed_2013_NoSensitiveAnalysis_Cov_0.1_100.0.xml</strong>, which contains all lexical patterns that could be detected in the SNOMED-CT version January 2013. 2. <strong>Snomed_2013_LexAnal_Full_0.1-0.4Perc_.xml</strong>, which contains all lexical patterns with 0.1%-0.4% lexical pattern threshold. 3. <strong>syntactic_regularities_dataset.zip</strong> which contains 308 xml files with the syntactic regularities that were generated by RIO. 4. <strong>semantic_regularities_dataset.zip</strong> which contains 308 xml files with the semantic regularities that were generated by RIO. 5. <strong>quantitative_syntactic_regularity_analysis.csv</strong>, which contains the syntactic regularity stat analysis for the 308 processed cases. 6.<strong> quantitative_semantic_regularity_analysis.csv, </strong>which contains the semantic regularity stat analysis for the 308 processed cases.
DOI: 10.6084/m9.figshare.701174.v1
title: Gaussian Job Archive for C5H8O2S

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.701214.v1
title: QPX Genome Browser Feature Tracks

description: Genomic feature tracks (<em>ie</em>bed, gff) from partial genome sequencing of QPX (Quahog Parasite Unknown). Data includes putative SNPs, RNA-seq data from cultures grown at two temperatures, and putative transcript locations based on sequence similarity searches. Feature tracks (and corresponding fasta file) developed to be viewed with Integrative Genomics Viewer (http://www.broadinstitute.org/igv/). Fileset includes sesssion file (.xml) to load all features. All data are also available at http://eagle.fish.washington.edu/QPX_genome/ The Emerging Infectious Marine Diseases Consortium and a National Science Foundation Research Coordination Network Grant provided support for the graduate course Ecology of Marine Infectious Diseases at Friday Harbor Marine Laboratory, WA, where the majority of this work took place.