cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9273047.v1
title: GP31_B9.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9273053.v1
title: GP31_B63.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9272957
title: GP31_B4.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9272960
title: GP31_B1.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9272987
title: GP31_B6.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9272957.v1
title: GP31_B4.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9272960.v1
title: GP31_B1.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9272987.v1
title: GP31_B6.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9272813
title: 2019 ATPESC Tutorial: Better Scientific Software

description: The computational science and engineering (CSE) community is in the midst of an extremely challenging period created by the confluence of disruptive changes in computing architectures, demand for greater scientific reproducibility, and new opportunities for greatly improved simulation capabilities, especially through coupling physics and scales. Computer architecture changes require new software design and implementation strategies, including significant refactoring of existing code. Reproducibility demands require more rigor across the entire software endeavor. Code coupling requires aggregate team interactions including integration of software processes and practices. These challenges demand large investments in scientific software development and improved practices. Focusing on improved developer productivity and software sustainability is both urgent and essential.<br>This full day tutorial distills multi-project and multi-years’ experience from members of the IDEAS project, and creators of the BSSw.io community website. It provides information and hands-on experience with software practices, processes, and tools explicitly tailored for CSE. Goals are improving the productivity of those who develop CSE software and increasing the sustainability of software artifacts. We discuss practices that are relevant for projects of all sizes, with emphasis on small teams, and on aggregate teams composed of small teams.<br>Outline* Objectives, Motivation, & Overview [45 min]* Requirements & Test-Driven Development [45 min]* Software Design & Testing [60 min]* Licensing [45 min]* Agile Methodologies & Useful Git Tools [60 min]* Git Workflows [30 min]* Code Coverage & Continuous Integration [40 min]* Software Refactoring & Documentation [35 min]
DOI: 10.6084/m9.figshare.9272954
title: GP31_B2.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9272954.v1
title: GP31_B2.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9272798
title: EC9_B60.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9272801
title: Cardiovascular events among reproductive and menopausal age women with polycystic ovary syndrome: a systematic review and meta-analysis

description: This study aimed to evaluate the prevalence (P)/hazard ratio (HR) of cardiovascular (CV) events among reproductive age and menopausal age women with polycystic ovary syndrome (PCOS) in comparison with healthy controls. PubMed, Scopus, ScienceDirect, Web of science, and Google scholar were searched for retrieving observational studies published up to April 2018 investigating CV events in patients with PCOS. The primary outcomes were a composite outcome of CV events [including coronary arterial disease (CAD), cardiovascular disease (CVD), myocardial infarction (MI), angina, heart failure, and ischemic heart disease] and mortality due to CV events; secondary outcomes were specific CVD events, including cerebrovascular disease, CAD, CVD, MI, angina, heart failure, ischemic heart disease, and stroke. In this meta-analysis, both fixed and random effect models were used. Potential sources of heterogeneity were explored by meta-regression and subgroup analyses. Sixteen studies including 12 population-based were analyzed for the meta-analysis. Results showed that the pooled HRs of CV events in PCOS patients of reproductive age and in menopausal/aging women were higher than healthy controls (pooled HR: 1.38, 95% CI: 1.12–1.71) and (pooled HR: 1.53, 95% CI: 1.15, 2.04), respectively. Compared to healthy controls, analysis of population-based studies revealed that the HR of CV events increased only in reproductive age PCOS patients (1.43-fold, 95% CI: 1.27, 1.61), whereas the difference was not statistically significant when comparing menopausal/aging PCOS patients to healthy controls (1.03-fold, 95% CI: 0.41, 2.59). Sufficient data were not available for comparing the HRs of mortality due to CV events between the two PCOS age groups. Mainly based on population-based study, we found a greater risk of CV events in reproductive aged but not in menopausal/aging PCOS women, suggesting that having a history of PCOS during reproductive ages may not be an important risk factor for developing events in later life. This is a preliminary assumption and needs to be reevaluated by further comprehensive cohort studies of longer duration, initiated in the reproductive period, considering all known CVD risk factors.
DOI: 10.6084/m9.figshare.9272795
title: EC9_B63.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9272795.v1
title: EC9_B63.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9272801.v2
title: Cardiovascular events among reproductive and menopausal age women with polycystic ovary syndrome: a systematic review and meta-analysis

description: This study aimed to evaluate the prevalence (P)/hazard ratio (HR) of cardiovascular (CV) events among reproductive age and menopausal age women with polycystic ovary syndrome (PCOS) in comparison with healthy controls. PubMed, Scopus, ScienceDirect, Web of science, and Google scholar were searched for retrieving observational studies published up to April 2018 investigating CV events in patients with PCOS. The primary outcomes were a composite outcome of CV events [including coronary arterial disease (CAD), cardiovascular disease (CVD), myocardial infarction (MI), angina, heart failure, and ischemic heart disease] and mortality due to CV events; secondary outcomes were specific CVD events, including cerebrovascular disease, CAD, CVD, MI, angina, heart failure, ischemic heart disease, and stroke. In this meta-analysis, both fixed and random effect models were used. Potential sources of heterogeneity were explored by meta-regression and subgroup analyses. Sixteen studies including 12 population-based were analyzed for the meta-analysis. Results showed that the pooled HRs of CV events in PCOS patients of reproductive age and in menopausal/aging women were higher than healthy controls (pooled HR: 1.38, 95% CI: 1.12–1.71) and (pooled HR: 1.53, 95% CI: 1.15, 2.04), respectively. Compared to healthy controls, analysis of population-based studies revealed that the HR of CV events increased only in reproductive age PCOS patients (1.43-fold, 95% CI: 1.27, 1.61), whereas the difference was not statistically significant when comparing menopausal/aging PCOS patients to healthy controls (1.03-fold, 95% CI: 0.41, 2.59). Sufficient data were not available for comparing the HRs of mortality due to CV events between the two PCOS age groups. Mainly based on population-based study, we found a greater risk of CV events in reproductive aged but not in menopausal/aging PCOS women, suggesting that having a history of PCOS during reproductive ages may not be an important risk factor for developing events in later life. This is a preliminary assumption and needs to be reevaluated by further comprehensive cohort studies of longer duration, initiated in the reproductive period, considering all known CVD risk factors.
DOI: 10.6084/m9.figshare.9272801.v1
title: Cardiovascular events among reproductive and menopausal age women with polycystic ovary syndrome: a systematic review and meta-analysis

description: This study aimed to evaluate the prevalence (P)/hazard ratio (HR) of cardiovascular (CV) events among reproductive age and menopausal age women with polycystic ovary syndrome (PCOS) in comparison with healthy controls. PubMed, Scopus, ScienceDirect, Web of science, and Google scholar were searched for retrieving observational studies published up to April 2018 investigating CV events in patients with PCOS. The primary outcomes were a composite outcome of CV events [including coronary arterial disease (CAD), cardiovascular disease (CVD), myocardial infarction (MI), angina, heart failure, and ischemic heart disease] and mortality due to CV events; secondary outcomes were specific CVD events, including cerebrovascular disease, CAD, CVD, MI, angina, heart failure, ischemic heart disease, and stroke. In this meta-analysis, both fixed and random effect models were used. Potential sources of heterogeneity were explored by meta-regression and subgroup analyses. Sixteen studies including 12 population-based were analyzed for the meta-analysis. Results showed that the pooled HRs of CV events in PCOS patients of reproductive age and in menopausal/aging women were higher than healthy controls (pooled HR: 1.38, 95% CI: 1.12–1.71) and (pooled HR: 1.53, 95% CI: 1.15, 2.04), respectively. Compared to healthy controls, analysis of population-based studies revealed that the HR of CV events increased only in reproductive age PCOS patients (1.43-fold, 95% CI: 1.27, 1.61), whereas the difference was not statistically significant when comparing menopausal/aging PCOS patients to healthy controls (1.03-fold, 95% CI: 0.41, 2.59). Sufficient data were not available for comparing the HRs of mortality due to CV events between the two PCOS age groups. Mainly based on population-based study, we found a greater risk of CV events in reproductive aged but not in menopausal/aging PCOS women, suggesting that having a history of PCOS during reproductive ages may not be an important risk factor for developing events in later life. This is a preliminary assumption and needs to be reevaluated by further comprehensive cohort studies of longer duration, initiated in the reproductive period, considering all known CVD risk factors.