cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5555089.v1
title: List of Abbreviations from Measurement of micro-scale soil deformation around roots using four-dimensional synchrotron tomography and image correlation

description: List of Abbreviations
DOI: 10.6084/m9.figshare.5555023
title: Dataset for: Males that drop a sexually-selected weapon grow larger testes

description: Costly sexually-selected weapons are predicted to trade off with post-copulatory traits, such as testes. Although weapons can be important for achieving access to females, individuals of some species can permanently drop (i.e. autotomize) their weapons to escape danger. We capitalized on this natural behavior to experimentally address whether the loss of a sexually-selected weapon leads to increased testes investment in the leaf-footed cactus bug, Narnia femorata (Hemiptera: Coreidae). In a second experiment, we measured offspring production for males that lost a weapon during development. We found that those that dropped a hind limb during development grew significantly larger testes than the control treatments. Hind-limb autotomy did not result in the enlargement of other nearby traits. Our results are the first to show that males may compensate for natural weapon loss by investing more in testes. In a second experiment we found that females paired with males that lost a hind limb had 40% lower egg hatching success. Yet, in those cases where viable offspring were produced, males missing a hind limb produced 42% more offspring than males with intact limbs. These results suggest that the loss of a hind-limb weapon can, in some cases, lead to greater fertilization success.
DOI: 10.6084/m9.figshare.5555023.v1
title: Dataset for: Males that drop a sexually-selected weapon grow larger testes

description: Costly sexually-selected weapons are predicted to trade off with post-copulatory traits, such as testes. Although weapons can be important for achieving access to females, individuals of some species can permanently drop (i.e. autotomize) their weapons to escape danger. We capitalized on this natural behavior to experimentally address whether the loss of a sexually-selected weapon leads to increased testes investment in the leaf-footed cactus bug, Narnia femorata (Hemiptera: Coreidae). In a second experiment, we measured offspring production for males that lost a weapon during development. We found that those that dropped a hind limb during development grew significantly larger testes than the control treatments. Hind-limb autotomy did not result in the enlargement of other nearby traits. Our results are the first to show that males may compensate for natural weapon loss by investing more in testes. In a second experiment we found that females paired with males that lost a hind limb had 40% lower egg hatching success. Yet, in those cases where viable offspring were produced, males missing a hind limb produced 42% more offspring than males with intact limbs. These results suggest that the loss of a hind-limb weapon can, in some cases, lead to greater fertilization success.
DOI: 10.6084/m9.figshare.5555002.v1
title: Ensemble of Classifiers for Cross-Project Bug Prediction A Replicated Study

description: Bug prediction models are used to locate source code elements more likely to be defective. Broadly speaking, such models rely on a set of independent variables to predict the bug-proneness of source code elements using a machine learner. One of the key factor influencing their performances is related to the selection of a machine learning method (a.k.a., classifier) to use when discriminating buggy and non-buggy classes: indeed, previous research showed that a wrong selection might lead to a performance decrease up to 30%. More importantly, different classifiers tend to perform similarly even tough they are able to correctly predict the bug-proneness of different code elements. As a consequence, the research community focused on methods suitable to combine different classifiers, i.e., the so-called ensemble techniques. A variety of approaches have been proposed and to understand which of them are more reliable in the context of cross-project bug prediction some empirical investigations have been performed. As a result, Liu et al. and Zhang et al. found that the Validation and Voting technique is the one performing better with respect to the others. However, in the context of our research we figured out four important limitations of previous empirical studies aimed at benchmarking ensemble methods that possibly led to unreliable results: (i) the datasets exploited in previous work have been shown to be noisy, (ii) some data preprocessing techniques, whose application is highly recommended, have not been considered by previous analyses, (iii) the evaluation schema adopted relied on threshold-dependent metrics that do not provide a clear understanding of the results, and (iv) the size of previous studies threats the generalizability of the observed findings. To cope with these issues, in this paper we provide a replicated study that considers a cleaned dataset composed of 21 systems, where we analyze the behavior of seven ensemble methods. The results show that the problem is still far from being solved and the use of ensemble techniques does not provide evident benefits with respect to stand-alone classifiers. Finally, it confirms, in the context of ensemble-based models, the findings of previous studies that demonstrated that cross-project bug prediction models perform worse than within-project ones, being however more robust to performance variability.
DOI: 10.6084/m9.figshare.5554933
title: test for shiny

description: These are the test files for y project
DOI: 10.21954/ou.rd.5554840
title: Digital Brain Switch project - supporting information

description: READ_ME_DigitalBrainSwitch_SupportingInformation.txt<br>Digital Brain Switch (DBS; May 2013 – August 2015) was a project funded by the Engineering and Physical Sciences Research Council (EPSRC), which brought together computer science and social science. It was a collaboration between Lancaster University; The Open University; Royal Holloway, University of London; and University of Kent.<br>Data originates from a two year project examining the implications of digital technologies for work-life boundary management. Sample were 15 university students, 15 social entrepreneurs and 15 office workers across a range of institutions, organisations and contexts. Participants were recruited from a targeted invitation and all participated on a voluntary basis. Data consist of 45 week long video diaries consisting of instances of role transitions, textual transcription of simultaneous commentary and textual transcription of debriefing sessions. Additionally 45 hour long interview recordings and textual transcripts of further discussions of work-life issues, specifically work-life boundaries, work-life transitions and the effects of keeping video diaries. <br><br>Data were collected through hand held video cameras and recorded semi-structured interviews<br>Dataset contains sensitive personal information - restricted to project team only<br>This data set contains the project's supporting information, in the following zip files:<br>1. 'Analysis notes.zip' - Notes on the analysis framework2. 'Briefing participants documents.zip' - Documents to brief the participants on what the project was about and what is asked of them3. 'Consent Forms.zip' - Participant consent forms outlining what they were consenting to and how their data would be used4. 'Data Management.zip' - Data management plan outlining how and where data will be stored5. 'Ethics.zip' - Ethics approval documents6. 'Recruitment Documents.zip' - Documents used to promote the project and recruit participants7. 'READ_ME_DigitalBrainSwitch_SupportingInformation.txt' - a text file containing this description.<br>The project's research data is also archived on figshare at: 10.21954/ou.rd.5531911Pilot study data is also archived on figshare at: 10.21954/ou.rd.5549818<br>Data record in Open Research Online: http://oro.open.ac.uk/46687/Project website: http://www.scc.lancs.ac.uk/research/projects/DBS/
DOI: 10.6084/m9.figshare.5554843
title: MC-SUITE Energy Consumption use case

description: Data created and collected to address the Energy Consumption use case. It comprises measurements collected from a specific set of sensors during machining processes.<br><br>
DOI: 10.6084/m9.figshare.5554933.v1
title: test for shiny

description: These are the test files for y project
DOI: 10.6084/m9.figshare.5554933.v3
title: test for shiny

description: These are the test files for y project
DOI: 10.6084/m9.figshare.5554777
title: Supplementary Material for: Effects of Wearable Sensor-Based Balance and Gait Training on Balance, Gait, and Functional Performance in Healthy and Patient Populations: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

description: <b><i>Background:</i></b> Wearable sensors (WS) can accurately measure body motion and provide interactive feedback for supporting motor learning. <b><i>Objective:</i></b> This review aims to summarize current evidence for the effectiveness of WS training for improving balance, gait and functional performance. <b><i>Methods:</i></b> A systematic literature search was performed in PubMed, Cochrane, Web of Science, and CINAHL. Randomized controlled trials (RCTs) using a WS exercise program were included. Study quality was examined by the PEDro scale. Meta-analyses were conducted to estimate the effects of WS balance training on the most frequently reported outcome parameters. <b><i>Results:</i></b> Eight RCTs were included (Parkinson <i>n</i> = 2, stroke <i>n</i> = 1, Parkinson/stroke <i>n</i> = 1, peripheral neuropathy <i>n</i> = 2, frail older adults <i>n</i> = 1, healthy older adults <i>n</i> = 1). The sample size ranged from <i>n</i> = 20 to 40. Three types of training paradigms were used: (1) static steady-state balance training, (2) dynamic steady-state balance training, which includes gait training, and (3) proactive balance training. RCTs either used one type of training paradigm (type 2: <i>n</i> = 1, type 3: <i>n</i> = 3) or combined different types of training paradigms within their intervention (type 1 and 2: <i>n</i> = 2; all types: <i>n</i> = 2). The meta-analyses revealed significant overall effects of WS training on static steady-state balance outcomes including mediolateral (eyes open: Hedges' <i>g</i> = 0.82, CI: 0.43-1.21; eyes closed: <i>g</i> = 0.57, CI: 0.14-0.99) and anterior-posterior sway (eyes open: <i>g</i> = 0.55, CI: 0.01-1.10; eyes closed: <i>g</i> = 0.44, CI: 0.02-0.86). No effects on habitual gait speed were found in the meta-analysis (<i>g</i> = -0.19, CI: -0.68 to 0.29). Two RCTs reported significant improvements for selected gait variables including single support time, and fast gait speed. One study identified effects on proactive balance (Alternate Step Test), but no effects were found for the Timed Up and Go test and the Berg Balance Scale. Two studies reported positive results on feasibility and usability. Only one study was performed in an unsupervised setting. <b><i>Conclusion:</i></b> This review provides evidence for a positive effect of WS training on static steady-state balance in studies with usual care controls and studies with conventional balance training controls. Specific gait parameters and proactive balance measures may also be improved by WS training, yet limited evidence is available. Heterogeneous training paradigms, small sample sizes, and short intervention durations limit the validity of our findings. Larger studies are required for estimating the true potential of WS technology.
DOI: 10.6084/m9.figshare.5554933.v2
title: test for shiny

description: These are the test files for y project
DOI: 10.6084/m9.figshare.5554762
title: Role of Music in Plastic Surgery Setting: Protocol of Systematic Review and Meta-analysis

description: <b>This will be the first systematic review and meta-analysis assessing music in the plastic surgery setting.</b><b><br></b>
DOI: 10.6084/m9.figshare.5554744
title: Supplementary Material for: Impact of Altered WNT2B Expression on Bladder Wall Fibroblasts: Implications for Apoptosis Regulation in the Stroma of the Lower Urinary Tract

description: <b><i>Background:</i></b> Little is known about the role of WNT signalling in pathological processes involving the urinary tract stroma. Here the impact of WNT signalling on bladder wall fibroblasts (BWFs) was studied using integrated expression profiling. <b><i>Material and Methods:</i></b> WNT ligand and downstream WNT pathway component expression was profiled in human BWFs using qRT-PCR. Highly expressed <i>WNT2B</i> was knocked down using siRNA in BWFs. The expression of 730 mRNAs and 800 miRNAs was analyzed on the nCounter MAX platform in #<i>WNT2B</i> and control transfected BWFs. qRT-PCR was used for validation in vitro and in matched scar and healthy bladder wall tissue samples of 12 patients with vesico-urethral anastomotic stricture (VUAS). <b><i>Results:</i></b> Thirteen genes and 9 miRNAs showed differential expression in #<i>WNT2B</i> cells. Among these were <i>TNFSF10</i>, a key apoptosis inductor, (0.22fold, <i>p</i> = 0.011) and miR-1246 (36.2fold, <i>p</i> = 0.031). miRNA target prediction indicated <i>TNFSF10</i> to be regulated by miR-1246. qRT-PCR analysis confirmed differential expression of miR-1246 and <i>TNFSF10</i> in <i>#WNT2B</i> BWFs<i>.</i> Furthermore, <i>TNFSF10</i> was significantly underexpressed in VUAS tissue (<i>p</i> = 0.009). <b><i>Conclusion:</i></b> Perturbation of WNT signalling results in an altered expression of the apoptosis inductor <i>TNFSF10</i>. Similar changes are observed in VUAS. Further studies investigating the crosslink between WNT signalling and apoptosis regulation in the urinary tract stroma are warranted.
DOI: 10.6084/m9.figshare.5554666
title: Experiment NoMT-SubjectL-161026-0States

description: Experiment in which subject did not perform any mental imagery but passively watched the BCI's user interface, used to establish a baseline.
DOI: 10.6084/m9.figshare.5554657
title: Experiment NoMT-SubjectJ-161026-0States

description: Experiment in which subject did not perform any mental imagery but passively watched the BCI's user interface, used to establish a baseline.
DOI: 10.6084/m9.figshare.5554660
title: Experiment NoMT-SubjectK-161025-0States

description: Experiment in which subject did not perform any mental imagery but passively watched the BCI's user interface, used to establish a baseline.
DOI: 10.6084/m9.figshare.5554663
title: Experiment NoMT-SubjectM-161116-0States

description: Experiment in which subject did not perform any mental imagery but passively watched the BCI's user interface, used to establish a baseline.
DOI: 10.6084/m9.figshare.5554654
title: Experiment NoMT-SubjectI-160512-0States

description: Experiment in which subject did not perform any mental imagery but passively watched the BCI's user interface, used to establish a baseline.
DOI: 10.6084/m9.figshare.5554762.v3
title: Role of Music in Plastic Surgery Setting: Protocol of Systematic Review and Meta-analysis

description: <b>This will be the first systematic review and meta-analysis assessing music in the plastic surgery setting.</b><b><br></b>
DOI: 10.6084/m9.figshare.5554651
title: Experiment NoMT-SubjectF-160422-0States

description: Experiment in which subject did not perform any mental imagery but passively watched the BCI's user interface, used to establish a baseline.
DOI: 10.6084/m9.figshare.5554762.v2
title: Role of Music in Plastic Surgery Setting: A Systematic Review and Meta-analysis

description: <b>This is the first systematic review and meta-analysis assessing music in the plastic surgery setting.</b><b><br></b>
DOI: 10.6084/m9.figshare.5554639
title: Experiment HaLT-SubjectM-161108-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554642
title: Experiment HaLT-SubjectM-161124-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554645
title: Experiment HaLT-SubjectM-161117-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554648
title: Experiment NoMT-SubjectH-160628-0States

description: Experiment in which subject did not perform any mental imagery but passively watched the BCI's user interface, used to establish a baseline.
DOI: 10.6084/m9.figshare.5554636
title: Experiment HaLT-SubjectL-161205-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554627
title: Experiment HaLT-SubjectJ-161121-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554630
title: Experiment HaLT-SubjectL-161116-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554633
title: Experiment HaLT-SubjectK-161108-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554621
title: Experiment HaLT-SubjectI-160628-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554624
title: Experiment HaLT-SubjectK-161027-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554615
title: Experiment HaLT-SubjectI-160609-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554612
title: Experiment HaLT-SubjectH-160722-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554618
title: Experiment HaLT-SubjectH-160720-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554606
title: Experiment HaLT-SubjectG-160322-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554609
title: Experiment HaLT-SubjectG-160412-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554603
title: Experiment HaLT-SubjectG-160301-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554594
title: Experiment HaLT-SubjectF-160203-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554597
title: Experiment HaLT-SubjectE-160304-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554600
title: Experiment HaLT-SubjectF-160202-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554591
title: Experiment HaLT-SubjectF-160204-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554588
title: Experiment HaLT-SubjectE-160226-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554573
title: Experiment HaLT-SubjectB-160229-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554579
title: Experiment HaLT-SubjectE-160219-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554582
title: Experiment HaLT-SubjectC-160302-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554585
title: Experiment HaLT-SubjectC-160224-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554567
title: Experiment HaLT-SubjectB-160218-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554555
title: Experiment HaLT-SubjectA-160223-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554558
title: Experiment HaLT-SubjectB-160225-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554561
title: Experiment HaLT-SubjectA-160310-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554564
title: Experiment HaLT-SubjectA-160308-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.6084/m9.figshare.5554552
title: Experiment FREEFORM-SubjectC-151210-2States

description: Experiment in which subject voluntary left or right hand key strokes, whereas EEG recording and key strokes recording were performed.
DOI: 10.6084/m9.figshare.5554546
title: Experiment FREEFORM-SubjectB-151111-2States

description: Experiment in which subject voluntary left or right hand key strokes, whereas EEG recording and key strokes recording were performed.
DOI: 10.6084/m9.figshare.5554549
title: Experiment FREEFORM-SubjectC-151208-2States

description: Experiment in which subject voluntary left or right hand key strokes, whereas EEG recording and key strokes recording were performed.
DOI: 10.6084/m9.figshare.5554534
title: Experiment CLA-SubjectE-160122-3States

description: Experiment in which subject performed 3 imageries of left and right hand motion and a passive state.
DOI: 10.6084/m9.figshare.5554537
title: Experiment CLA-SubjectF-150928-3States

description: Experiment in which subject performed 3 imageries of left and right hand motion and a passive state.
DOI: 10.6084/m9.figshare.5554531
title: Experiment CLA-SubjectF-150916-3States

description: Experiment in which subject performed 3 imageries of left and right hand motion and a passive state.