cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14315204.v1
title: Supplementary Material for: Risk Factors, and Clinical and Etiological Characteristics of Ischemic Strokes in COVID-19-Infected Patients: A Systematic Review of Literature

description: <b><i>Background and Purpose:</i></b> Coronavirus disease 2019 (CO­VID-19) infection is an ongoing pandemic and worldwide health emergency that has caused important changes in healthcare systems. Previous studies reported an increased risk of thromboembolic events, including stroke. This systematic review aims to describe the clinical features and etiological characteristics of ischemic stroke patients with CO­VID-19 infection. <b><i>Method:</i></b> A literature search was performed in principal databases for studies and case reports containing data concerning risk factors, clinical features, and etiological characteristics of patients infected with COVID-19 and suffering from stroke. Descriptive and analytical statistics were applied. <b><i>Results:</i></b> Overall, 14 articles were included for a total of 93 patients. Median age was 65 (IQR: 55–75) years with prevalence in males. Stroke occurred after a median of 6 days from COVID-19 infection diagnosis. Median National of Institute of Health Stroke Scale (NIHSS) score was 19. Cryptogenic (Cry) strokes were more frequent (51.8%), followed by cardioembolic etiology, and they occurred a long time after COVID-19 diagnosis compared with large-artery atherosclerosis strokes (<i>p</i><sub>trend</sub>: 0.03). The clinical severity of stroke was significantly associated with the severity grade of COVID-19 infection (<i>p</i><sub>trend</sub>: 0.03). <b><i>Conclusions:</i></b> Ischemic strokes in COVID-19-infected patients were clinically severe, affecting younger patients mainly with Cry and cardioembolic etiologies. Further multicenter prospective registries are needed to better describe the causal association and the effect of COVID-19 infection on stroke.
DOI: 10.5517/ccdc.csd.cc265mjk
title: CCDC 2031198: Experimental Crystal Structure Determination

description: Related Article: Mirjana Antonijević Nikolić, Katalin Mészáros Szécsényi, Branka Dražić, Marko V. Rodić, Vojislav Stanić, Slađana Tanasković|2021|J.Mol.Struct.|1236|130133|doi:10.1016/j.molstruc.2021.130133
DOI: 10.6084/m9.figshare.14315186
title: Supplementary Material for: Clinical Significance of Cytotoxic Lesions of the Corpus Callosum in Subarachnoid Hemorrhage Patients: A Retrospective Analysis

description: <b><i>Introduction:</i></b> Cytotoxic lesions of the corpus callosum are secondary lesions induced by significant increases in cytokine levels in the brain and are associated with subarachnoid hemorrhage (SAH). However, their clinical significance in SAH patients remains unclear. <b><i>Methods:</i></b> We retrospectively analyzed SAH patients who were treated in our hospital and evaluated between-group differences in the backgrounds, clinical findings, and outcomes between SAH patients who developed cytotoxic lesions of the corpus callosum and those who did not. We further compared patients who achieved good outcomes with those who had poor outcomes. Multivariate logistic regression analysis was used to identify risk factors for poor clinical outcomes. <b><i>Results:</i></b> We analyzed 159 SAH patients; 17 patients (10.7%) had cytotoxic lesions of the corpus callosum. Patients with cytotoxic lesions of the corpus callosum were more likely to be in a severe condition (World Federation of Neurosurgical Societies grading IV-V: odds ratio [OR], 4.53; 95% confidence interval [95% CI]: 1.60–12.84; <i>p</i> = 0.0042) and have an intraventricular (OR, 5.98; 95% CI: 1.32–27.13; <i>p</i> = 0.0054) or an intraparenchymal hematoma (OR, 3.62; 95% CI: 1.25–10.45; <i>p</i> = 0.023). Patients with cytotoxic lesions of the corpus callosum had a greater propensity of a poor outcome 3 months after onset (modified Rankin Scale score 0–2: OR, 0.22; 95% CI: 0.07–0.66; <i>p</i> = 0.0043). Multivariate analysis confirmed that cytotoxic lesions of the corpus callosum increased the risk of a poor outcome (OR, 4.39; 95% CI: 1.06–18.1; <i>p</i> = 0.037). <b><i>Discussion/Conclusions:</i></b> The development of cytotoxic lesions of the corpus callosum may be related to the extent of hematomas in SAH patients. Although they are usually reversible lesions, the development of cytotoxic lesions of the corpus callosum may be a predictor of poor outcomes in SAH patients.
DOI: 10.6084/m9.figshare.14315186.v1
title: Supplementary Material for: Clinical Significance of Cytotoxic Lesions of the Corpus Callosum in Subarachnoid Hemorrhage Patients: A Retrospective Analysis

description: <b><i>Introduction:</i></b> Cytotoxic lesions of the corpus callosum are secondary lesions induced by significant increases in cytokine levels in the brain and are associated with subarachnoid hemorrhage (SAH). However, their clinical significance in SAH patients remains unclear. <b><i>Methods:</i></b> We retrospectively analyzed SAH patients who were treated in our hospital and evaluated between-group differences in the backgrounds, clinical findings, and outcomes between SAH patients who developed cytotoxic lesions of the corpus callosum and those who did not. We further compared patients who achieved good outcomes with those who had poor outcomes. Multivariate logistic regression analysis was used to identify risk factors for poor clinical outcomes. <b><i>Results:</i></b> We analyzed 159 SAH patients; 17 patients (10.7%) had cytotoxic lesions of the corpus callosum. Patients with cytotoxic lesions of the corpus callosum were more likely to be in a severe condition (World Federation of Neurosurgical Societies grading IV-V: odds ratio [OR], 4.53; 95% confidence interval [95% CI]: 1.60–12.84; <i>p</i> = 0.0042) and have an intraventricular (OR, 5.98; 95% CI: 1.32–27.13; <i>p</i> = 0.0054) or an intraparenchymal hematoma (OR, 3.62; 95% CI: 1.25–10.45; <i>p</i> = 0.023). Patients with cytotoxic lesions of the corpus callosum had a greater propensity of a poor outcome 3 months after onset (modified Rankin Scale score 0–2: OR, 0.22; 95% CI: 0.07–0.66; <i>p</i> = 0.0043). Multivariate analysis confirmed that cytotoxic lesions of the corpus callosum increased the risk of a poor outcome (OR, 4.39; 95% CI: 1.06–18.1; <i>p</i> = 0.037). <b><i>Discussion/Conclusions:</i></b> The development of cytotoxic lesions of the corpus callosum may be related to the extent of hematomas in SAH patients. Although they are usually reversible lesions, the development of cytotoxic lesions of the corpus callosum may be a predictor of poor outcomes in SAH patients.
DOI: 10.6084/m9.figshare.14315201
title: Supplementary Material for: Stroke Angel: Effect of Telemedical Prenotification on In-Hospital Delays and Systemic Thrombolysis in Acute Stroke Patients

description: <b><i>Introduction:</i></b> Door-to-CT scan time (DCT) and door-to-needle time (DNT) are important process measures in acute ischemic stroke (AIS) patients undergoing intravenous thrombolysis (IVT). We examined the impact of a telemedical prenotification by emergency medical service (EMS) (called the “Stroke Angel” program) on DCT and DNT and IVT rate compared to standard of care. <b><i>Patients and Methods:</i></b> Two prospective observational studies including AIS patients admitted via EMS from 2011 to 2013 (cohort I; <i>n</i> = 496) and from January 1, 2015 to May 31, 2018 (cohort II; <i>n</i> = 349) were conducted. After cohort I, the 4-Item Stroke Scale and a digital thrombolysis protocol were added. Multivariable logistic and linear regression analysis was performed. <b><i>Results:</i></b> In cohort I, DCT was lower in the intervention group (13 vs. 26 min using standard of care; <i>p</i> &lt; 0.001), but no significant difference in median DNT (35 vs. 39 min; <i>p</i> = 0.24) was observed. In cohort II, a reduction of DCT (8 vs. 15 min; <i>p</i> &lt; 0.001) and DNT (25 vs. 29 min <i>p</i> = 0.003) was observed in the intervention group. Compared to standard of care, the likelihood of DCT ≤10 min or DNT ≤20 min in the intervention group was 2.7 (adjusted odds ratio [aOR] 2.7; 95% CI: 2.1–3.5) and 1.8 (aOR 1.8; 95% CI: 1.1–2.9), respectively. In cohort II, IVT rate was higher (aOR 1.4; 95% CI: 1.1–1.9) in the intervention group. <b><i>Conclusion:</i></b> Although the positive effects of Stroke Angel in AIS provided a rationale for implementation in routine care, larger studies of practice implementation will be needed. Using Stroke Angel in the prehospital management of AIS impacts on important process measures of IVT delivery.
DOI: 10.6084/m9.figshare.14315213
title: Supplementary Material for: Association between Hidradenitis Suppurativa and Inflammatory Arthritis: A Systematic Review and Meta-Analysis

description: <b><i>Background:</i></b> Several studies report a high prevalence of inflammatory arthritis among hidradenitis suppurativa (HS) patients. <b><i>Objectives:</i></b> To study the association between HS and inflammatory arthritis. <b><i>Methods:</i></b> The systematic review and meta-analysis were performed according to the PRISMA guidelines to identify the association between HS and inflammatory arthritis, spondyloarthritis, ankylosing spondylitis (AS), and rheumatoid arthritis (RA). <b><i>Results:</i></b> Seven studies were entered in the analysis, with 200,361 HS patients and 385,599 controls. Pooled analysis illustrated a significantly increased risk of inflammatory arthritis in HS patients compared to controls (odds ratio [OR] 3.44; 95% confidence interval [CI] 1.92–6.17). There was also a statistically significant association between HS and spondyloarthritis (OR 2.10; 95% CI 1.40–3.15), and between HS and AS (OR 1.89; 95% CI 1.14–3.12). Moreover, pooled analysis showed a statistically significant association between HS and RA (OR 1.96; 95% CI 1.28–2.98). <b><i>Conclusions:</i></b> Our findings show that HS patients have a 3-fold increased risk of developing inflammatory arthritis. HS patients are specifically at a higher risk for spondyloarthritis, its subtype AS, and RA.
DOI: 10.5281/zenodo.4636211
title: Whole-exome sequencing, EGFR amplification and infiltration patterns in human glioblastoma

description: This study aimed to perform whole-exome sequencing analysis in 30 human GBM samples for identifying mutational portraits associated with <em>EGFR</em> amplification and infiltrative patterns
DOI: 10.5281/zenodo.4636210
title: Whole-exome sequencing, EGFR amplification and infiltration patterns in human glioblastoma

description: This study aimed to perform whole-exome sequencing analysis in 30 human GBM samples for identifying mutational portraits associated with <em>EGFR</em> amplification and infiltrative patterns
DOI: 10.5281/zenodo.4638512
title: Sample X-ray JPEGS derived from augmentation of some RANCZR CLiP challenge images

description: These are a small subset of the images derived original or augmented images from the RANZCR CLiP - Catheter and Line Position Challenge | Kaggle. Most images in this set were derived by various augmentations, which would create images NOT appropriate for machine learning algorithms. The purpose of this image set was to test data cleaning algorithms for X-rays.
DOI: 10.5281/zenodo.4638511
title: Sample X-ray JPEGS derived from augmentation of some RANCZR CLiP challenge images

description: These are a small subset of the images derived original or augmented images from the RANZCR CLiP - Catheter and Line Position Challenge | Kaggle. Most images in this set were derived by various augmentations, which would create images NOT appropriate for machine learning algorithms. The purpose of this image set was to test data cleaning algorithms for X-rays.
DOI: 10.6084/m9.figshare.14315426
title: Normalized Transcriptomic Melanoma Dataset

description: This dataset is normalized . The samples of this dataset are 3 groups including naive, primary, and metastasis.
DOI: 10.6084/m9.figshare.14315426.v1
title: Normalized Transcriptomic Melanoma Dataset

description: This dataset is normalized . The samples of this dataset are 3 groups including naive, primary, and metastasis.
DOI: 10.6084/m9.figshare.14315438
title: Surgical antibiotic prophylaxis administration practices in a referral hospital in Nepal: how are we doing?

description: <b>Abstract </b> <b>Setting:</b> Dhulikhel Hospital, a referral hospital in Kavre, Nepal. <b>Objectives:</b> Among patients who underwent surgery in the department of general surgery (July-December 2019), to report on: 1) eligibility and ineligibility for initial and redosing of surgical antibiotic prophylaxis (SAP); 2) administration and non-administration of initial dose of SAP; 3) administration and non-administration of redosing of SAP in accordance with National Antibiotic Treatment Guidelines (NATG); and 4) development of surgical site infections (SSIs). <b>D</b><b>esign: </b>Retrospective cohort analysis. <b>Results</b>: 846 patients were included in the analysis. Of which 717(85%) patients were eligible for SAP, and 129(15%) were ineligible for any dose. Of those eligible, 708(99%) received initial dose; while 65(50%) who were ineligible did not receive any dose. Of those received initial dose, 164(23%) were eligible for redosing. Of which, only 23(14%) received it and 141(86%) did not receive it. Overall compliance with NATG was achieved in 75% (632/846) of patients. SSIs occurred in 23(3%) patients. Of which, SAP was administered according to NATG in 7(30%) patients. <b>Conclusion:</b> A relatively high overall compliance with NATG for SAP administration was observed. Recommendations were made to improve compliance among those who were ineligible for SAP and those who were eligible for redosing.
DOI: 10.5281/zenodo.4625084
title: Drug combination data used for comboLTR in "Modeling drug combination effects via latent tensor reconstruction"

description: DrugCombo.db : it contains all the drug combination data used for the cross validation for comboLTR, as well as drugs' fingerprints and cells multi-omics data. CV_Folds_S(1, 2, 3, 4)_Full.List.Pickle : These Python pickled list objects contain the training and test set splits for 5 fold cross validation.
DOI: 10.5281/zenodo.4625083
title: Drug combination data used for comboLTR in "Modeling drug combination effects via latent tensor reconstruction"

description: DrugCombo.db : it contains all the drug combination data used for the cross validation for comboLTR, as well as drugs' fingerprints and cells multi-omics data. CV_Folds_S(1, 2, 3, 4)_Full.List.Pickle : These Python pickled list objects contain the training and test set splits for 5 fold cross validation.
DOI: 10.6084/m9.figshare.13543046
title: Assembly processes lead to divergent soil fungal communities within and among twelve forest ecosystems along a latitudinal gradient

description: The data used to perform the analyses in this study are included in four files:1) A spreadsheet containing environmental metadata for sample sites and, where appropriate, individual plots.2) A spreadsheet containing plant species occurrences within sampled communities.3) Three spreadsheets containing fungal OTU occurrences within sampled communities (all fungal OTUs, arbuscular mycorrhizal fungal OTUs, ectomycorrhizal fungal OTUs).4) Three spreadsheets containing taxonomic annotations associated with OTUs in (3).<br><br>Methodologies can be found in the associated publication (details to be provided here when available).
DOI: 10.6084/m9.figshare.13265294
title: Data for "Global distribution of microwhip scorpions (Arachnida: Palpigradi)"

description: Occurrences used in the analysis (Occurrence_points.csv) and dataset for calculating the species-people correlation (Sampling_bias.csv). Note that a curated distribution database of palpigrades will be published in an associated data paper (Souza et al., <i>in preparation</i>).<br>Both database are semicolon-delimited (;) csv tables.<br>Variables explanation:<br>GenSp = Genus and species;<br>GenSp2_clean = Cleaned Genus and species as used in the analysis;<br>Ecology = either soil- or cave-dwelling; see main text for details<br>Alien = is the occurrence referring to an human-transported record? Note that all occurrence labelled as Aline = "yes" have been excluded for the analysis.<br>Locality = Verbatim locality;<br>Country = Country of the locality;<br>Continent = Continent of the locality;<br>x & y = WGS84 decimal degrees coordinates.<br>Further information on the different variables are in the main text.<br><br>Mammola S, Souza MVR, Isaia M, Ferreira RL (2021). Global distribution of microwhip scorpions (Arachnida: Palpigradi). Journal of biogeography. https://doi.org/10.1111/jbi.14094<br>
DOI: 10.6084/m9.figshare.13265294.v1
title: Data for "Global distribution of microwhip scorpions (Arachnida: Palpigradi)"

description: Occurrences used in the analysis (Occurrence_points.csv) and dataset for calculating the species-people correlation (Sampling_bias.csv). Note that a curated distribution database of palpigrades will be published in an associated data paper (Souza et al., <i>in preparation</i>).<br>Both database are semicolon-delimited (;) csv tables.<br>Variables explanation:<br>GenSp = Genus and species;<br>GenSp2_clean = Cleaned Genus and species as used in the analysis;<br>Ecology = either soil- or cave-dwelling; see main text for details<br>Alien = is the occurrence referring to an human-transported record? Note that all occurrence labelled as Aline = "yes" have been excluded for the analysis.<br>Locality = Verbatim locality;<br>Country = Country of the locality;<br>Continent = Continent of the locality;<br>x & y = WGS84 decimal degrees coordinates.<br>Further information on the different variables are in the main text.<br><br>Mammola S, Souza MVR, Isaia M, Ferreira RL (2021). Global distribution of microwhip scorpions (Arachnida: Palpigradi). Journal of biogeography. https://doi.org/10.1111/jbi.14094<br>
DOI: 10.5281/zenodo.4638523
title: LCL problems

description: A number of classified LCL problems on tree and cycle graph families
DOI: 10.5281/zenodo.4638510
title: Velocity model of the source region of the 2018 Lombok earthquake sequence, Indonesia

description: This file contains a 3D distribution of Vp, Vs and Vp/Vs ratios of the source region of the 2018 Lombok earthquake sequence, Indonesia. Please refer to: H. Afif, A.D. Nugraha, M. Muzli, S. Widiyantoro, Z. Zulfakriza, S. Wei, D.P. Sahara, A. Riyanto, T. Greenfield, N.T. Puspito, A. Priyono, A.T. Sasmi, P. Supendi, A. Ardianto, D.K. Syahbana, S. Rosalia, A. Cipta, and Y.M. Husni (2021), Local earthquake tomography of the source region of the 2018 Lombok earthquake sequence, Indonesia, Geophysical Journal International (submitted).<br>
DOI: 10.6084/m9.figshare.14312858.v3
title: Pitta sundering data file.xlsx

description: At each nest, we installed a dark-colored camouflaged tent 20 m away from the nest. From inside of the tent, we filmed and photographed visiting parents using digital cameras. From the observations and from the videos, we extracted the data.
DOI: 10.6084/m9.figshare.7464962
title: HSV linear endotheliitis

description: HSV linear endotheliitis
DOI: 10.6084/m9.figshare.7464962.v1
title: HSV linear endotheliitis

description: HSV linear endotheliitis
DOI: 10.6084/m9.figshare.12751508.v1
title: CCT measurements

description: pachy
DOI: 10.6084/m9.figshare.12751508
title: CCT measurements

description: pachy
DOI: 10.6084/m9.figshare.12751508.v3
title: CCT measurements

description: pachy
DOI: 10.6084/m9.figshare.12751508.v2
title: CCT measurements

description: pachy
DOI: 10.5281/zenodo.4638534
title: Velocity model and relocated earthquake location of the source region of the 2018 Lombok earthquake sequence, Indonesia

description: This file contains a 3D distribution of Vp, Vs and Vp/Vs ratios of the source region of the 2018 Lombok earthquake sequence, Indonesia and also relocated earthquake location. Please refer to: H. Afif, A.D. Nugraha, M. Muzli, S. Widiyantoro, Z. Zulfakriza, S. Wei, D.P. Sahara, A. Riyanto, T. Greenfield, N.T. Puspito, A. Priyono, A.T. Sasmi, P. Supendi, A. Ardianto, D.K. Syahbana, S. Rosalia, A. Cipta, and Y.M. Husni (2021), Local earthquake tomography of the source region of the 2018 Lombok earthquake sequence, Indonesia, Geophysical Journal International (submitted).<br>
DOI: 10.11583/dtu.13153355
title: Inorganic Janus nanotubes database

description: This dataset is part of the supporting data for the manuscript "Structural and chemical mechanisms governing stability of inorganic Janus nanotubes" (10.1038/s41524-021-00505-9).<br>There are two databases containing:<br>(1) `janus_nanotubes.db´<br>The relaxed structure of all nanotubes. A specific tube can be found by searching for the keywords: material, prototype, kind (armchair/zigzag), n (number unit cell repetitions)<br>(2) `twod_sheets.db`<br>The relaxed structures of all presented 2D sheets. The database also contains the alternating-row prototype structures from the section "Strain energy descriptors". <br><br>Be aware that the prototype convention translates as follows:prototype_convert = { 'MoS2': 'H',<br> 'CdI2': 'T',<br> 'MoSSe': 'H',<br> 'BiTeI': 'T'}<br>The README.md contains code examples in order to(1) visualize a MoSTe - (8, 8) nanotube in the H-phase<br>(2) visualize a MoSTe 2D Sheet in the T-phase<br>
DOI: 10.11583/dtu.13153355.v2
title: Inorganic Janus nanotubes database

description: This dataset is part of the supporting data for the manuscript "Structural and chemical mechanisms governing stability of inorganic Janus nanotubes" (10.1038/s41524-021-00505-9).<br>There are two databases containing:<br>(1) `janus_nanotubes.db´<br>The relaxed structure of all nanotubes. A specific tube can be found by searching for the keywords: material, prototype, kind (armchair/zigzag), n (number unit cell repetitions)<br>(2) `twod_sheets.db`<br>The relaxed structures of all presented 2D sheets. The database also contains the alternating-row prototype structures from the section "Strain energy descriptors". <br><br>Be aware that the prototype convention translates as follows:prototype_convert = { 'MoS2': 'H',<br> 'CdI2': 'T',<br> 'MoSSe': 'H',<br> 'BiTeI': 'T'}<br>The README.md contains code examples in order to(1) visualize a MoSTe - (8, 8) nanotube in the H-phase<br>(2) visualize a MoSTe 2D Sheet in the T-phase<br>
DOI: 10.11583/dtu.13153355.v1
title: Inorganic Janus nanotubes database

description: This dataset is part of the supporting data for the manuscript "Structural and chemical mechanisms governing stability of inorganic Janus nanotubes" (10.1038/s41524-021-00505-9).<br>There are two databases containing:<br>(1) `janus_nanotubes.db´<br>The relaxed structure of all nanotubes. A specific tube can be found by searching for the keywords: material, prototype, kind (armchair/zigzag), n (number unit cell repetitions)<br>(2) `twod_sheets.db`<br>The relaxed structures of all presented 2D sheets. The database also contains the alternating-row prototype structures from the section "Strain energy descriptors". <br><br>Be aware that the prototype convention translates as follows:prototype_convert = { 'MoS2': 'H',<br> 'CdI2': 'T',<br> 'MoSSe': 'H',<br> 'BiTeI': 'T'}<br>The README.md contains code examples in order to(1) visualize a MoSTe - (8, 8) nanotube in the H-phase<br>(2) visualize a MoSTe 2D Sheet in the T-phase<br>
DOI: 10.5281/zenodo.4638549
title: data set related to article Effects of Probiotic Supplementation on Gastrointestinal, Sensory and Core Symptoms in Autism Spectrum Disorders: A Randomized Controlled Trial

description: This record contains raw data related to article Effects of Probiotic Supplementation on Gastrointestinal, Sensory and Core Symptoms in Autism Spectrum Disorders: A Randomized Controlled Trial
DOI: 10.5281/zenodo.4638548
title: data set related to article Effects of Probiotic Supplementation on Gastrointestinal, Sensory and Core Symptoms in Autism Spectrum Disorders: A Randomized Controlled Trial

description: This record contains raw data related to article Effects of Probiotic Supplementation on Gastrointestinal, Sensory and Core Symptoms in Autism Spectrum Disorders: A Randomized Controlled Trial