cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8486819
title: Average ROP grouped by history of stroke and gender from Neck sensor-supported hyoid bone movement tracking during swallowing

description: This file contains the statistics of Relative Overlapped Percentage of computer predicted Hyoid bone movement.
DOI: 10.6084/m9.figshare.8486816
title: A hyoid bone movement comparison sample from Neck sensor-supported hyoid bone movement tracking during swallowing

description: The hyoid bone movement comparison between computer calculation and two human raters
DOI: 10.6084/m9.figshare.8486822.v1
title: The neck sensor signals from Neck sensor-supported hyoid bone movement tracking during swallowing

description: The original signals acquired by the neck sensors.
DOI: 10.6084/m9.figshare.8486807
title: Hyoid bone movement label from Neck sensor-supported hyoid bone movement tracking during swallowing

description: Hyoid bone movement labeled by one human rater
DOI: 10.6084/m9.figshare.8486816.v1
title: A hyoid bone movement comparison sample from Neck sensor-supported hyoid bone movement tracking during swallowing

description: The hyoid bone movement comparison between computer calculation and two human raters
DOI: 10.6084/m9.figshare.8486819.v1
title: Average ROP grouped by history of stroke and gender from Neck sensor-supported hyoid bone movement tracking during swallowing

description: This file contains the statistics of Relative Overlapped Percentage of computer predicted Hyoid bone movement.
DOI: 10.6084/m9.figshare.8486807.v1
title: Hyoid bone movement label from Neck sensor-supported hyoid bone movement tracking during swallowing

description: Hyoid bone movement labeled by one human rater
DOI: 10.6084/m9.figshare.8484140
title: Impact of endogenous and exogenous progesterone exposure on stress biomarkers: a systematic review

description: Stress activates the autonomic nervous system (ANS) and the hypothalamic–pituitary–adrenal axis (HPAA). Based on a systematic literature review of the impact of endogenous and exogenous exposure with natural progesterone on the stress response in healthy premenopausal and postmenopausal women, the following conclusions can be drawn: the HPAA activity was not relevantly affected by endogenous progesterone exposure across the menstrual cycle, but might be reduced by exogenous micronized progesterone application; in contrast, the ANS has a sympathetic predominance in the (progesterone-dominated) luteal phase of the menstrual cycle. Future studies should assess various stress biomarkers under various hormonal conditions to, for example, allow for cardiovascular risk stratification in hormone users.
DOI: 10.6084/m9.figshare.8483951
title: Supplementary Material for: Pre-Operative Interictal Discharge Patterns and Magnetic Resonance Imaging Findings Affect Prognosis of Temporal Lobe Epilepsy Surgery

description: <b><i>Objective:</i></b> This study investigated whether pre-operative interictal discharge patterns detected by electroencephalogram (EEG) and magnetic resonance imaging (MRI) findings affect the surgical prognosis in temporal lobe epilepsy (TLE) patients. <b><i>Methods:</i></b> A retrospective analysis of 115 cases of patients with refractory TLE was carried out from October 2010 to 2014 based on the classification of pre-operative interictal discharge patterns in EEG and MRI findings. The patients were followed up for 4 years after surgery. The ILAE method was used to assess differences in seizure-free rate among different types of interictal discharge pattern as well as in MRI findings. <b><i>Results:</i></b> A total of 115 cases were classified according to interictal discharge patterns in EEG, including normal cases, unilateral anterior discharge, unilateral multi-region discharge, and bilateral discharge. MRI findings were classified into negative results and positive results. Unilateral anterior and bilateral discharges showed statistically significant differences in post-operative seizure-free rates (<i>p</i>&lt; 0.001). MRI-positive cases showed good overall post-operative outcome, irrespective of interictal discharge pattern in the EEG, whereas MRI-negative cases showed good overall prognosis if the interictal discharge pattern in EEG occurred in the unilateral anterior region. <b><i>Conclusion:</i></b> If the pre-operative interictal discharge pattern in EEG is confined to the unilateral anterior region, prognosis is good. If there are abnormalities in MRI findings, post-operative prognosis is good, regardless of pre-operative interictal discharge patterns in EEG. Surgical intervention is highly recommended for TLE patients with normal MRI findings and interictal discharge confined to the unilateral anterior region.
DOI: 10.6084/m9.figshare.8484140.v1
title: Impact of endogenous and exogenous progesterone exposure on stress biomarkers: a systematic review

description: Stress activates the autonomic nervous system (ANS) and the hypothalamic–pituitary–adrenal axis (HPAA). Based on a systematic literature review of the impact of endogenous and exogenous exposure with natural progesterone on the stress response in healthy premenopausal and postmenopausal women, the following conclusions can be drawn: the HPAA activity was not relevantly affected by endogenous progesterone exposure across the menstrual cycle, but might be reduced by exogenous micronized progesterone application; in contrast, the ANS has a sympathetic predominance in the (progesterone-dominated) luteal phase of the menstrual cycle. Future studies should assess various stress biomarkers under various hormonal conditions to, for example, allow for cardiovascular risk stratification in hormone users.
DOI: 10.6084/m9.figshare.8481908
title: Gridded Atlantic Ocean 'natural' pre-bomb surface mean reservoir age

description: Table S1. 4° by 4° gridded Atlantic Ocean 'natural' pre-bomb surface (0-250 mbsl) mean reservoir age (in 14C yr) extracted from GLODAP. Table S2. Corresponding standard deviation values Table S3. Latitudes (centre of pixel) of the 4° by 4° gridded Atlantic Ocean 'natural' pre-bomb surface reservoir age. Table S4. Longitudes (centre of pixel) of the 4° by 4° gridded Atlantic Ocean 'natural' pre-bomb surface reservoir age.
DOI: 10.6084/m9.figshare.8481767
title: Data package Imagining Class

description: Syntax used in the following article:D'Hooge, L., Achterberg, P., & Reeskens, T. (2018). Imagining class: A study into material social class position, subjective identification, and voting behavior across Europe. <i>Social science research</i>, <i>70</i>, 71-89.<br>
DOI: 10.6084/m9.figshare.8481908.v1
title: Gridded Atlantic Ocean 'natural' pre-bomb surface mean reservoir age

description: Table S1. 4° by 4° gridded Atlantic Ocean 'natural' pre-bomb surface (0-250 mbsl) mean reservoir age (in 14C yr) extracted from GLODAP. Table S2. Corresponding standard deviation values Table S3. Latitudes (centre of pixel) of the 4° by 4° gridded Atlantic Ocean 'natural' pre-bomb surface reservoir age. Table S4. Longitudes (centre of pixel) of the 4° by 4° gridded Atlantic Ocean 'natural' pre-bomb surface reservoir age.
DOI: 10.6084/m9.figshare.8481767.v1
title: Data package Imagining Class

description: Syntax used in the following article:D'Hooge, L., Achterberg, P., & Reeskens, T. (2018). Imagining class: A study into material social class position, subjective identification, and voting behavior across Europe. <i>Social science research</i>, <i>70</i>, 71-89.<br>
DOI: 10.6084/m9.figshare.8481365
title: Odd-one-out task from Spontaneous perception of numerosity in pre-school children

description: Each MATLAB file corresponds to one session. The variable “sceglidaqui” contains the main data. Each row a different trial. Crucial parameters are expressed in the following columns: 2-numerosity of the odd stimulus; 3-area change (octaves); 4-density change (octaves); 5-number change (octaves); 9-accuracy (0, wrong, 1, correct); 11-response time (seconds)
DOI: 10.6084/m9.figshare.8481359
title: Odd-one-out task from Spontaneous perception of numerosity in pre-school children

description: Each MATLAB file corresponds to one session. The variable “sceglidaqui” contains the main data. Each row a different trial. Crucial parameters are expressed in the following columns: 2-numerosity of the odd stimulus; 3-area change (octaves); 4-density change (octaves); 5-number change (octaves); 9-accuracy (0, wrong, 1, correct); 11-response time (seconds)
DOI: 10.6084/m9.figshare.8481362
title: Dot-reproduction task from Spontaneous perception of numerosity in pre-school children

description: Each MATLAB file corresponds to one session. Within each file the variable RESP contains the main data. Each row represents a trial. Different columns contain different parameters. Notably Columns 1-3 contain Area (in square pixels), Density and Number of the sample stimulus. Columns 7-9 contain Area, Density and Number of the stimulus reproduced by the subject. Column 10 contains overall reaction time.
DOI: 10.6084/m9.figshare.8481356
title: Math Skills from Spontaneous perception of numerosity in pre-school children

description: This is an Excel file providing results averaged across Math tests along with Age and subject ID.
DOI: 10.6084/m9.figshare.8481362.v1
title: Dot-reproduction task from Spontaneous perception of numerosity in pre-school children

description: Each MATLAB file corresponds to one session. Within each file the variable RESP contains the main data. Each row represents a trial. Different columns contain different parameters. Notably Columns 1-3 contain Area (in square pixels), Density and Number of the sample stimulus. Columns 7-9 contain Area, Density and Number of the stimulus reproduced by the subject. Column 10 contains overall reaction time.
DOI: 10.6084/m9.figshare.8481365.v1
title: Odd-one-out task from Spontaneous perception of numerosity in pre-school children

description: Each MATLAB file corresponds to one session. The variable “sceglidaqui” contains the main data. Each row a different trial. Crucial parameters are expressed in the following columns: 2-numerosity of the odd stimulus; 3-area change (octaves); 4-density change (octaves); 5-number change (octaves); 9-accuracy (0, wrong, 1, correct); 11-response time (seconds)
DOI: 10.6084/m9.figshare.8481359.v1
title: Odd-one-out task from Spontaneous perception of numerosity in pre-school children

description: Each MATLAB file corresponds to one session. The variable “sceglidaqui” contains the main data. Each row a different trial. Crucial parameters are expressed in the following columns: 2-numerosity of the odd stimulus; 3-area change (octaves); 4-density change (octaves); 5-number change (octaves); 9-accuracy (0, wrong, 1, correct); 11-response time (seconds)
DOI: 10.6084/m9.figshare.8481353
title: 2AFC numerosity comparison task from Spontaneous perception of numerosity in pre-school children

description: Files are saved as ‘*.mat’ file-type, which can be opened by Matlab/Octave. The matrix ‘a’ report the main results. Some parameters are meaningless (not active) as never activated for the actual experiment.A= [tested_numerosity; log10(numerosity/standard); response; n_adapter(not active); standard dots Size; dots Size of adaptor (not active); fix_color (not active); response_to_fix_change (not active)];
DOI: 10.6084/m9.figshare.8481356.v1
title: Math Skills from Spontaneous perception of numerosity in pre-school children

description: This is an Excel file providing results averaged across Math tests along with Age and subject ID.
DOI: 10.6084/m9.figshare.8481353.v1
title: 2AFC numerosity comparison task from Spontaneous perception of numerosity in pre-school children

description: Files are saved as ‘*.mat’ file-type, which can be opened by Matlab/Octave. The matrix ‘a’ report the main results. Some parameters are meaningless (not active) as never activated for the actual experiment.A= [tested_numerosity; log10(numerosity/standard); response; n_adapter(not active); standard dots Size; dots Size of adaptor (not active); fix_color (not active); response_to_fix_change (not active)];
DOI: 10.6084/m9.figshare.8481182
title: Supplemental Tables

description: Supplemental tables
DOI: 10.6084/m9.figshare.8481167
title: Vasomotor symptoms and neurovegetative comorbidities on the menopause: insights from an Italian quantitative research

description: Vasomotor symptoms (VMSs) are the most common symptoms affecting women during the menopause. Besides, affective symptoms may share with VMS a common biological pathophysiology. The current multicenter quantitative research was based on an online survey aimed to evaluate the impact of VMS in peri- and post-menopausal Italian women and to identify the main barriers to seeking help. The most frequent bothersome VMSs were hot flashes (41%), night sweats (31%), and over-heating (31%). Almost 87% of women experienced three or more simultaneous symptoms. Emotions verbalized by women indicate how intensely hot flushes and neuro-vegetative symptoms impact life: embarrassment, confusion, depression, impact on social/personal relationships, and guiltiness. Up to 43% of all women suffering from VMS were not treating the symptoms. Although 92% of women reported prior knowledge of the VMS condition, only 12% do something about it straight away after the appearance of VMS. This survey provided real-life observational data from a large population of peri-menopausal women and highlighted the important impact of VMS, its neurovegetative comorbidities and its significant burden effect on social life. Physicians must be more adaptive and inquisitive to evaluate and detect incipient VMS, as this will indicate the vulnerability to severe symptomatology and pathological brain aging.
DOI: 10.6084/m9.figshare.8481182.v1
title: Supplemental Tables

description: Supplemental tables
DOI: 10.6084/m9.figshare.8481167.v1
title: Vasomotor symptoms and neurovegetative comorbidities on the menopause: insights from an Italian quantitative research

description: Vasomotor symptoms (VMSs) are the most common symptoms affecting women during the menopause. Besides, affective symptoms may share with VMS a common biological pathophysiology. The current multicenter quantitative research was based on an online survey aimed to evaluate the impact of VMS in peri- and post-menopausal Italian women and to identify the main barriers to seeking help. The most frequent bothersome VMSs were hot flashes (41%), night sweats (31%), and over-heating (31%). Almost 87% of women experienced three or more simultaneous symptoms. Emotions verbalized by women indicate how intensely hot flushes and neuro-vegetative symptoms impact life: embarrassment, confusion, depression, impact on social/personal relationships, and guiltiness. Up to 43% of all women suffering from VMS were not treating the symptoms. Although 92% of women reported prior knowledge of the VMS condition, only 12% do something about it straight away after the appearance of VMS. This survey provided real-life observational data from a large population of peri-menopausal women and highlighted the important impact of VMS, its neurovegetative comorbidities and its significant burden effect on social life. Physicians must be more adaptive and inquisitive to evaluate and detect incipient VMS, as this will indicate the vulnerability to severe symptomatology and pathological brain aging.
DOI: 10.6084/m9.figshare.8481098
title: Source Data.xlsx

description: Source data of the article "The antimicrobial peptide thanatin disrupts the bacterial outer membrane and inactivates the NDM-1 metallo-β-lactamase"
DOI: 10.6084/m9.figshare.8480459
title: Phylogenetic-placement-Cyano

description: Phylogenetic placement of Cyanobacterial-like sequences (i.e. all reads classified as phylum Cyanobacteria) on a reference tree. Reference tree is based on data published in Hug <i>et al</i>, (2016) (<b>DOI: 10.1038/nmicrobiol.2016.48</b>).
DOI: 10.6084/m9.figshare.8480459.v1
title: Phylogenetic-placement-Cyano

description: Phylogenetic placement of Cyanobacterial-like sequences (i.e. all reads classified as phylum Cyanobacteria) on a reference tree. Reference tree is based on data published in Hug <i>et al</i>, (2016) (<b>DOI: 10.1038/nmicrobiol.2016.48</b>).
DOI: 10.6084/m9.figshare.8480345
title: Moved file. See description.

description: Moved file to Version 2 of original estimates CSV file, see here<br><br>
DOI: 10.6084/m9.figshare.8480345.v2
title: Updated bilateral international migration flow estimates for 200 countries (1990-1995 to 2010-2015) - based on WPP2019

description: Update of estimates of international migration flows Abel & Cohen (2019) based on newly published WPP (WPP2019) demographic inputs by the United Nations.<br>A description of the changes in the estimates can be found here <br>Data Details:<br> <br>Row for each migration corridor - period combination (200 origins x 200 destinations x 5 periods = 200,000).<br>year0 - first year of five year periodorig - origin ISO three letter country codedest - destination ISO three letter country<br> Columns for estimates based on the following migration flow estimation methods:<b><br>Stock Differencing Approaches:</b><br><br>sd_drop_neg - see for example Beine, M., Docquier, F., & Özden, Ç. (2011). Diasporas. Journal of Development Economics, 95(1), 30–41. https://doi.org/10.1016/j.jdeveco.2009.11.004<br><br>sd_rev_neg - see for example Beine, M., & Parsons, C. R. (2015). Climatic Factors as Determinants of International Migration. The Scandinavian Journal of Economics, 117(2), 723–767. https://doi.org/10.1111/sjoe.12098 <br><b>Migration Rate Approach:</b><br><br>mig_rate - see Dennett, A. (2016). Estimating an Annual Time Series of Global Migration Flows - An Alternative Methodology for Using Migrant Stock Data. In Global Dynamics (pp. 125–142). Chichester, UK: John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118937464.ch7 <br><b>Demographic Accounting Approaches:</b><br><br>da_min_open - see Abel, G. J. (2013). Estimating global migration flow tables using place of birth data. Demographic Research, 28(March), 505–546. https://doi.org/10.4054/DemRes.2013.28.18 <br>da_min_closed - see Abel, G. J. (2018). Estimates of Global Bilateral Migration Flows by Gender between 1960 and 2015. International Migration Review, <i>52</i>(3), 809–852. https://doi.org/10.1111/imre.12327 <br>da_pb_closed - see Azose, J. J., & Raftery, A. E. (2019). Estimation of emigration, return migration, and transit migration between all pairs of countries. Proceedings of the National Academy of Sciences, <i>116</i>(1), 116–122. https://doi.org/10.1073/PNAS.1722334116
DOI: 10.6084/m9.figshare.8480345.v3
title: Updated bilateral international migration flow estimates for 200 countries (1990-1995 to 2010-2015) - based on WPP2019

description: Update of estimates of international migration flows Abel & Cohen (2019) based on newly published WPP (WPP2019) demographic inputs by the United Nations.<br>A description of the changes in the estimates can be found here <br>Data Details:<br> <br>Row for each migration corridor - period combination (200 origins x 200 destinations x 5 periods = 200,000).<br>year0 - first year of five year periodorig - origin ISO three letter country codedest - destination ISO three letter country<br> Columns for estimates based on the following migration flow estimation methods:<b><br>Stock Differencing Approaches:</b><br><br>sd_drop_neg - see for example Beine, M., Docquier, F., & Özden, Ç. (2011). Diasporas. Journal of Development Economics, 95(1), 30–41. https://doi.org/10.1016/j.jdeveco.2009.11.004<br><br>sd_rev_neg - see for example Beine, M., & Parsons, C. R. (2015). Climatic Factors as Determinants of International Migration. The Scandinavian Journal of Economics, 117(2), 723–767. https://doi.org/10.1111/sjoe.12098 <br><b>Migration Rate Approach:</b><br><br>mig_rate - see Dennett, A. (2016). Estimating an Annual Time Series of Global Migration Flows - An Alternative Methodology for Using Migrant Stock Data. In Global Dynamics (pp. 125–142). Chichester, UK: John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118937464.ch7 <br><b>Demographic Accounting Approaches:</b><br><br>da_min_open - see Abel, G. J. (2013). Estimating global migration flow tables using place of birth data. Demographic Research, 28(March), 505–546. https://doi.org/10.4054/DemRes.2013.28.18 <br>da_min_closed - see Abel, G. J. (2018). Estimates of Global Bilateral Migration Flows by Gender between 1960 and 2015. International Migration Review, <i>52</i>(3), 809–852. https://doi.org/10.1111/imre.12327 <br>da_pb_closed - see Azose, J. J., & Raftery, A. E. (2019). Estimation of emigration, return migration, and transit migration between all pairs of countries. Proceedings of the National Academy of Sciences, <i>116</i>(1), 116–122. https://doi.org/10.1073/PNAS.1722334116
DOI: 10.6084/m9.figshare.8480345.v4
title: Moved

description: Moved file to Version 3 of the original file, see<br>here<br>
DOI: 10.6084/m9.figshare.8480261
title: MOESM3 of MYC deregulates TET1 and TET2 expression to control global DNA (hydroxy)methylation and gene expression to maintain a neoplastic phenotype in T-ALL

description: Additional file 3. Detailed lists of genes used in DMR, hDMR, DEG, GSEA, and intersection analysis. List of genes associated with DMRs and hDMRs in mouse T-ALL cells (EµSRα-tTAα;tet-o-MYC) (6780) before and upon 2 days of MYC inactivation (+DOX). List of genes associated with DMRs and hDMRs, as well as DEGs and intersection analysis in human T-ALL (CCRF-CEM) upon TET1 KD. List of genes associated with DMRs and hDMRs, as well as DEGs and intersection analysis in human T-ALL (CCRF-CEM) upon ectopic TET2 expression. List of genes from GSEA analysis in human T-ALL (CCRF-CEM) upon TET1 KD. List of genes used in GSEA analysis in human T-ALL (CCRF-CEM) upon ectopic TET2 expression. Gene lists used for intersection analysis of MYC target genes, TET1 DEGs, and TET2 DEGs.
DOI: 10.6084/m9.figshare.8480261.v1
title: MOESM3 of MYC deregulates TET1 and TET2 expression to control global DNA (hydroxy)methylation and gene expression to maintain a neoplastic phenotype in T-ALL

description: Additional file 3. Detailed lists of genes used in DMR, hDMR, DEG, GSEA, and intersection analysis. List of genes associated with DMRs and hDMRs in mouse T-ALL cells (EµSRα-tTAα;tet-o-MYC) (6780) before and upon 2 days of MYC inactivation (+DOX). List of genes associated with DMRs and hDMRs, as well as DEGs and intersection analysis in human T-ALL (CCRF-CEM) upon TET1 KD. List of genes associated with DMRs and hDMRs, as well as DEGs and intersection analysis in human T-ALL (CCRF-CEM) upon ectopic TET2 expression. List of genes from GSEA analysis in human T-ALL (CCRF-CEM) upon TET1 KD. List of genes used in GSEA analysis in human T-ALL (CCRF-CEM) upon ectopic TET2 expression. Gene lists used for intersection analysis of MYC target genes, TET1 DEGs, and TET2 DEGs.
DOI: 10.6084/m9.figshare.8480249
title: Additional file 2: of DDGun: an untrained method for the prediction of protein stability changes upon single and multiple point variations

description: Predictions of the unfolding â â G through DDGun and DDGun3D methods. http://folding.biofold.org/ddgun/predictions.tar.gz . (ZIP 379 kb)
DOI: 10.6084/m9.figshare.8480249.v1
title: Additional file 2: of DDGun: an untrained method for the prediction of protein stability changes upon single and multiple point variations

description: Predictions of the unfolding â â G through DDGun and DDGun3D methods. http://folding.biofold.org/ddgun/predictions.tar.gz . (ZIP 379 kb)
DOI: 10.6084/m9.figshare.8480237
title: Additional file 1: of DDGun: an untrained method for the prediction of protein stability changes upon single and multiple point variations

description: Protein structure models used for the predictions of â â G. http://folding.biofold.org/ddgun/models.tar.gz . (ZIP 1490 kb)
DOI: 10.6084/m9.figshare.8480237.v1
title: Additional file 1: of DDGun: an untrained method for the prediction of protein stability changes upon single and multiple point variations

description: Protein structure models used for the predictions of â â G. http://folding.biofold.org/ddgun/models.tar.gz . (ZIP 1490 kb)