cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9944834.v1
title: Should rehabilitation goals reflect all aspects of functioning in relation to a biopsychosocial ICF perspective?

description: <b>Purpose:</b> To classify short-term and long-term rehabilitation goals and analyse how they capture functioning in a biopsychosocial International Classification of Functioning, Disability and Health (ICF) perspective. <b>Materials and methods:</b> A retrospective study was conducted at two specialised outpatient multidisciplinary rehabilitation centres for polio survivors and accident victims. Rehabilitation goals extracted from patient journals were linked to the ICF according to linking rules. <b>Results:</b> One hundred patients were included. Four hundred and eighty-seven short-term and long-term rehabilitation goals were linked to the ICF. Fifty-seven per cent were linked to Activity and Participation, 22% to Body Functions, 1% to Body Structure, 4% to Environmental Factors, 4% to Personal Factors, whereas 11% were not defined and 1% was not covered. The identified categories covered all ICF domains. The most frequent categories for short-term goals were <i>d450</i> “Walking” and <i>d570</i> “Looking after one’s health.” For long-term goals, <i>d850</i> “Remunerative Employment” and <i>d920</i> “Recreation and Leisure” were the most frequent. <b>Conclusion:</b> The study showed challenges in capturing all aspects of biopsychosocial functioning in rehabilitation goals, particularly Contextual Factors. This study indicates that rehabilitation goals capture <i>capacity</i> rather than <i>performance</i>. Further research could highlight if functioning is captured in the rehabilitation plan, and in this way include both <i>capacity</i> and <i>performance</i>.Implications for rehabilitationHealth professionals in a post-acute or long-term rehabilitation setting should pay attention to <i>capacity and performance</i> when rehabilitation goals are set.The rehabilitation plan should contain goals and a description of patient’s contextual factors and both should be equally valued and combined in a description of functioning.In a post-acute or long-term rehabilitation setting short-term and long-term goals are affected by the context. A longer rehabilitation intervention lead to goals linked to activity and participation. Health professionals in a post-acute or long-term rehabilitation setting should pay attention to <i>capacity and performance</i> when rehabilitation goals are set. The rehabilitation plan should contain goals and a description of patient’s contextual factors and both should be equally valued and combined in a description of functioning. In a post-acute or long-term rehabilitation setting short-term and long-term goals are affected by the context. A longer rehabilitation intervention lead to goals linked to activity and participation.
DOI: 10.6084/m9.figshare.9944786
title: Supplementary Material for: Effectiveness of Acute-Phase Treatment of Depression Is Not Influenced by Comorbid Personality Disorders: Results from a Meta-Analysis and Meta-Regression

description: Medicine
DOI: 10.6084/m9.figshare.9944786.v1
title: Supplementary Material for: Effectiveness of Acute-Phase Treatment of Depression Is Not Influenced by Comorbid Personality Disorders: Results from a Meta-Analysis and Meta-Regression

description: Medicine
DOI: 10.6084/m9.figshare.9944759.v1
title: ACDC, a global database of amphibian cytochrome-b sequences using reproducible curation for GenBank records

description: ACDC represents a curated database of all Amphibia cytochome-b sequences present on GenBank. ACDC also provides an R script to reproduce our workflow for other genes and species.
DOI: 10.6084/m9.figshare.9944786.v3
title: Supplementary Material for: Effectiveness of Acute-Phase Treatment of Depression Is Not Influenced by Comorbid Personality Disorders: Results from a Meta-Analysis and Meta-Regression

description: Medicine
DOI: 10.6084/m9.figshare.9944675
title: Metadata record for: Transcriptomic profile of cystic fibrosis airway epithelial cells undergoing repair

description: This dataset contains key characteristics about the data described in the Data Descriptor Transcriptomic profile of cystic fibrosis airway epithelial cells undergoing repair. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.9944786.v2
title: Supplementary Material for: Effectiveness of Acute-Phase Treatment of Depression Is Not Influenced by Comorbid Personality Disorders: Results from a Meta-Analysis and Meta-Regression

description: Medicine
DOI: 10.6084/m9.figshare.9944675.v2
title: Metadata record for: Transcriptomic profile of cystic fibrosis airway epithelial cells undergoing repair

description: This dataset contains key characteristics about the data described in the Data Descriptor Transcriptomic profile of cystic fibrosis airway epithelial cells undergoing repair. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.9944759.v3
title: ACDC, a global database of amphibian cytochrome-b sequences using reproducible curation for GenBank records

description: ACDC represents a curated database of all Amphibia cytochome-b sequences present on GenBank. ACDC also provides an R script to reproduce our workflow for other genes and species.The full paper is published by Scientific Data, doi: 10.1038/s41597-020-00598-9
DOI: 10.6084/m9.figshare.9944675.v1
title: Metadata record for: Transcriptomic profile of cystic fibrosis airway epithelial cells undergoing repair

description: This dataset contains key characteristics about the data described in the Data Descriptor Transcriptomic profile of cystic fibrosis airway epithelial cells undergoing repair. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.9944546
title: Dataset - Choosing task difficulty - Matarazzo et al..sav

description: dataset of a study examining the effects of a performance feedback, related feelings and a monetary reward on decision-making
DOI: 10.15131/shef.data.9944462
title: Shape variation in Littorina saxatilis ecotype contact zones

description: Data used for analysing the shell shape variation of the marine snail Littorina saxatilis across contact zones between different environments, for different sites, and between sexes.
DOI: 10.15131/shef.data.9944462.v1
title: Shape variation in Littorina saxatilis ecotype contact zones

description: Data used for analysing the shell shape variation of the marine snail Littorina saxatilis across contact zones between different environments, for different sites, and between sexes.
DOI: 10.6084/m9.figshare.9944453
title: demo_data.zip

description: Demo dataset for fetal whole-heart 4D volumetric reconstruction<br>Instructions on how to use: https://github.com/mriphysics/fetal_cmr_4d
DOI: 10.6084/m9.figshare.9944546.v1
title: Dataset - Choosing task difficulty - Matarazzo et al..sav

description: dataset of a study examining the effects of a performance feedback, related feelings and a monetary reward on decision-making
DOI: 10.6084/m9.figshare.9944453.v1
title: demo_data.zip

description: Demo dataset for fetal whole-heart 4D volumetric reconstruction
DOI: 10.6084/m9.figshare.9944546.v2
title: Dataset - Choosing task difficulty - Matarazzo et al..sav

description: dataset of a study examining the effects of a performance feedback, related feelings and a monetary reward on decision-making
DOI: 10.6084/m9.figshare.9944414
title: Supplementary Material for: Excess Significance Bias in Repetitive Transcranial Magnetic Stimulation Literature for Neuropsychiatric Disorders

description: <b><i>Introduction:</i></b> Repetitive transcranial magnetic stimulation (rTMS) has been widely tested and promoted for use in multiple neuropsychiatric conditions, but as for many other medical devices, some gaps may exist in the literature and the evidence base for the clinical efficacy of rTMS remains under debate. <b><i>Objective:</i></b> We aimed to test for an excess number of statistically significant results in the literature on the therapeutic efficacy of rTMS across a wide range of meta-analyses and to characterize the power of studies included in these meta-analyses. <b><i>Methods:</i></b> Based on power calculations, we computed the expected number of “positive” datasets for a medium effect size (standardized mean difference, SMD = 0.30) and compared it with the number of observed “positive” datasets. Sensitivity analyses considered small (SMD = 0.20), modest (SMD = 0.50), and large (SMD = 0.80) effect sizes. <b><i>Results:</i></b> A total of 14 meta-analyses with 228 datasets (110 for neurological disorders and 118 for psychiatric disorders) were assessed. For SMD = 0.3, the number of observed “positive” studies (<i>n</i> = 94) was larger than expected (<i>n</i> = 35). We found evidence for an excess of significant findings overall (<i>p</i> &lt; 0.0001) and in 8/14 meta-analyses. Evidence for an excess of significant findings was also observed for SMD = 0.5 for neurological disorders. Of the 228 datasets, 0 (0%), 0 (0%), 3 (1%), and 53 (23%) had a power &gt;0.80, respectively, for SMDs of 0.30, 0.20, 0.50, and 0.80. <b><i>Conclusion:</i></b> Most studies in the rTMS literature are underpowered. This results in fragmentation and waste of research efforts. The somewhat high frequency of “positive” results seems spurious and may reflect bias. Caution is warranted in accepting rTMS as an established treatment for neuropsychiatric conditions.
DOI: 10.6084/m9.figshare.9944453.v3
title: demo_data.zip

description: Demo dataset for fetal whole-heart 4D volumetric reconstruction<br>Instructions on how to use: https://github.com/mriphysics/fetal_cmr_4d
DOI: 10.6084/m9.figshare.9944453.v2
title: demo_data.zip

description: Demo dataset for fetal whole-heart 4D volumetric reconstruction<br>Instructions on how to use: https://github.com/mriphysics/fetal_cmr_4d
DOI: 10.6084/m9.figshare.9944390
title: Supplementary Material for: Stereotactic Radiosurgery for Pediatric and Adult Intracranial and Spinal Ependymomas

description: <b><i>Objective/Background:</i></b> We report efficacy and toxicity outcomes with stereotactic radiosurgery (SRS) for intracranial and spinal ependymoma. <b><i>Methods:</i></b> We analyzed adult and pediatric patients with newly diagnosed or recurrent intracranial or spinal ependymoma lesions treated with SRS at our institution. Following SRS, local failure (LF) was defined as failure within or adjacent to the SRS target volume, while distant failure (DF) was defined as failure outside of the SRS target volume. Time to LF and DF was analyzed using competing risk analysis with death as a competing risk.<i></i>Overall survival (OS) was calculated from the date of first SRS to the date of death or censored at the date of last follow-up using the Kaplan-Meier method. <b><i>Results:</i></b> Twenty-one patients underwent SRS to 40 intracranial (<i>n</i> = 30) or spinal (<i>n</i> = 10) ependymoma lesions between 2007 and 2018, most commonly with 18 or 20 Gy in 1 fraction. Median follow-up for all patients after first SRS treatment was 54 months (range 2–157). The 1-year, 2-year, and 5-year rates of survival among patients with initial intracranial ependymoma were 86, 74, and 52%, respectively. The 2-year cumulative incidences of LF and DF after SRS among intracranial ependymoma patients were 25% (95% CI 11–43) and 42% (95% CI 22–60), respectively. No spinal ependymoma patient experienced LF, DF, or death within 2 years of SRS. Three patients had adverse radiation effects. <b><i>Conclusions:</i></b> SRS is a viable treatment option for intracranial and spinal ependymoma with excellent local control and acceptable toxicity.
DOI: 10.6084/m9.figshare.9944363
title: EEG Data Meditators

description: Please read the KormeierEtal_MeditationStudy_EEGData_Manual.pdf for details about the data structure
DOI: 10.6084/m9.figshare.9944381
title: EEG Data Non-Meditators

description: For details about the data structure see KormeierEtal_MeditationStudy_EEGData_Manual.pdf<br>
DOI: 10.6084/m9.figshare.9944303
title: Supplementary Material for: Metadata Concepts for Advancing the Use of Digital Health Technologies in Clinical Research

description: Digital health technologies (smartphones, smartwatches, and other body-worn sensors) can act as novel tools to aid in the diagnosis and remote objective monitoring of an individual’s disease symptoms, both in clinical care and in research. Nonetheless, such digital health technologies have yet to widely demonstrate value in clinical research due to insufficient data interpretability and lack of regulatory acceptance. Metadata, i.e., data that accompany and describe the primary data, can be utilized to better understand the context of the sensor data and can assist in data management, data sharing, and subsequent data analysis. The need for data and metadata standards for digital health technologies has been raised in academic and industry research communities and has also been noted by regulatory authorities. Therefore, to address this unmet need, we here propose a metadata set that reflects regulatory guidelines and that can serve as a conceptual map to (1) inform researchers on the metadata they should collect in digital health studies, aiming to increase the interpretability and exchangeability of their data, and (2) direct standard development organizations on how to extend their existing standards to incorporate digital health technologies. The proposed metadata set is informed by existing standards pertaining to clinical trials and medical devices, in addition to existing schemas that have supported digital health technology studies. We illustrate this specifically in the context of Parkinson’s disease, as a model for a wide range of other chronic conditions for which remote monitoring would be useful in both care and science. We invite the scientific and clinical research communities to apply the proposed metadata set to ongoing and planned research. Where the proposed metadata fall short, we ask users to contribute to its ongoing revision so that an adequate degree of consensus can be maintained in a rapidly evolving technology landscape.
DOI: 10.6084/m9.figshare.9944381.v1
title: EEG Data Non-Meditators

description: For details about the data structure see KormeierEtal_MeditationStudy_EEGData_Manual.pdf<br>
DOI: 10.6084/m9.figshare.9944267
title: Resolution by Deep Sequencing of dual Hepatitis E virus infection transmitted via blood components (Suppl. data)

description: The supplementary data for the paper "Resolution by Deep Sequencing of dual Hepatitis E virus infection transmitted via blood components" includes three files:<br>- Galaxy-Workflow-De_Novo_Assembly_workflow_for_dual_hepatitis_E_virus_infection.ga- HEV supplementary alignment.fas- supplementary.pdf<br><br>
DOI: 10.6084/m9.figshare.9944303.v1
title: Supplementary Material for: Metadata Concepts for Advancing the Use of Digital Health Technologies in Clinical Research

description: Digital health technologies (smartphones, smartwatches, and other body-worn sensors) can act as novel tools to aid in the diagnosis and remote objective monitoring of an individual’s disease symptoms, both in clinical care and in research. Nonetheless, such digital health technologies have yet to widely demonstrate value in clinical research due to insufficient data interpretability and lack of regulatory acceptance. Metadata, i.e., data that accompany and describe the primary data, can be utilized to better understand the context of the sensor data and can assist in data management, data sharing, and subsequent data analysis. The need for data and metadata standards for digital health technologies has been raised in academic and industry research communities and has also been noted by regulatory authorities. Therefore, to address this unmet need, we here propose a metadata set that reflects regulatory guidelines and that can serve as a conceptual map to (1) inform researchers on the metadata they should collect in digital health studies, aiming to increase the interpretability and exchangeability of their data, and (2) direct standard development organizations on how to extend their existing standards to incorporate digital health technologies. The proposed metadata set is informed by existing standards pertaining to clinical trials and medical devices, in addition to existing schemas that have supported digital health technology studies. We illustrate this specifically in the context of Parkinson’s disease, as a model for a wide range of other chronic conditions for which remote monitoring would be useful in both care and science. We invite the scientific and clinical research communities to apply the proposed metadata set to ongoing and planned research. Where the proposed metadata fall short, we ask users to contribute to its ongoing revision so that an adequate degree of consensus can be maintained in a rapidly evolving technology landscape.
DOI: 10.6084/m9.figshare.9944267.v2
title: Resolution by Deep Sequencing of dual Hepatitis E virus infection transmitted via blood components (Suppl. data)

description: The supplementary data for the paper "Resolution by Deep Sequencing of dual Hepatitis E virus infection transmitted via blood components" includes three files:<br>- Galaxy-Workflow-De_Novo_Assembly_workflow_for_dual_hepatitis_E_virus_infection.ga- HEV supplementary alignment.fas- supplementary.pdf<br><br>
DOI: 10.6084/m9.figshare.9944267.v1
title: Resolution by Deep Sequencinng of dual Hepatitis E virus infection transmitted via blood components (Suppl. data)

description: Supplementary data for the paper "Resolution by Deep Sequencinng of dual Hepatitis E virus infection transmitted via blood components"
DOI: 10.6084/m9.figshare.9944303.v2
title: Supplementary Material for: Metadata Concepts for Advancing the Use of Digital Health Technologies in Clinical Research

description: Digital health technologies (smartphones, smartwatches, and other body-worn sensors) can act as novel tools to aid in the diagnosis and remote objective monitoring of an individual’s disease symptoms, both in clinical care and in research. Nonetheless, such digital health technologies have yet to widely demonstrate value in clinical research due to insufficient data interpretability and lack of regulatory acceptance. Metadata, i.e., data that accompany and describe the primary data, can be utilized to better understand the context of the sensor data and can assist in data management, data sharing, and subsequent data analysis. The need for data and metadata standards for digital health technologies has been raised in academic and industry research communities and has also been noted by regulatory authorities. Therefore, to address this unmet need, we here propose a metadata set that reflects regulatory guidelines and that can serve as a conceptual map to (1) inform researchers on the metadata they should collect in digital health studies, aiming to increase the interpretability and exchangeability of their data, and (2) direct standard development organizations on how to extend their existing standards to incorporate digital health technologies. The proposed metadata set is informed by existing standards pertaining to clinical trials and medical devices, in addition to existing schemas that have supported digital health technology studies. We illustrate this specifically in the context of Parkinson’s disease, as a model for a wide range of other chronic conditions for which remote monitoring would be useful in both care and science. We invite the scientific and clinical research communities to apply the proposed metadata set to ongoing and planned research. Where the proposed metadata fall short, we ask users to contribute to its ongoing revision so that an adequate degree of consensus can be maintained in a rapidly evolving technology landscape.
DOI: 10.6084/m9.figshare.9944303.v3
title: Supplementary Material for: Metadata Concepts for Advancing the Use of Digital Health Technologies in Clinical Research

description: Digital health technologies (smartphones, smartwatches, and other body-worn sensors) can act as novel tools to aid in the diagnosis and remote objective monitoring of an individual’s disease symptoms, both in clinical care and in research. Nonetheless, such digital health technologies have yet to widely demonstrate value in clinical research due to insufficient data interpretability and lack of regulatory acceptance. Metadata, i.e., data that accompany and describe the primary data, can be utilized to better understand the context of the sensor data and can assist in data management, data sharing, and subsequent data analysis. The need for data and metadata standards for digital health technologies has been raised in academic and industry research communities and has also been noted by regulatory authorities. Therefore, to address this unmet need, we here propose a metadata set that reflects regulatory guidelines and that can serve as a conceptual map to (1) inform researchers on the metadata they should collect in digital health studies, aiming to increase the interpretability and exchangeability of their data, and (2) direct standard development organizations on how to extend their existing standards to incorporate digital health technologies. The proposed metadata set is informed by existing standards pertaining to clinical trials and medical devices, in addition to existing schemas that have supported digital health technology studies. We illustrate this specifically in the context of Parkinson’s disease, as a model for a wide range of other chronic conditions for which remote monitoring would be useful in both care and science. We invite the scientific and clinical research communities to apply the proposed metadata set to ongoing and planned research. Where the proposed metadata fall short, we ask users to contribute to its ongoing revision so that an adequate degree of consensus can be maintained in a rapidly evolving technology landscape.