cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17158040
title: Supplementary Material for: Effects of Weight Loss on Adipose and Muscular Neuropilin 1 mRNA Expression in Obesity: Potential Implication in SARS-CoV-2 Infections?

description: <b><i>Introduction:</i></b> Neuropilin 1 (NRP-1) is a novel co-receptor promoting SARS-CoV-2 infectivity. Animal data indicate a role in trans-endothelial lipid transport and storage. As human data are sparse, we aimed to assess the role of NRP-1 in 2 metabolic active tissues in human obesity and in the context of weight loss-induced short- and long-term metabolic changes. <b><i>Methods:</i></b> After a standardized 12-week weight reduction program, 143 subjects (age &gt;18; body mass index ≥27 kg/m<sup>2</sup>, 78% female) were randomized to a 12-month lifestyle intervention or a control group using a stratified randomization scheme. This was followed by 6-month follow-up without any intervention. Phenotyping was performed before and after weight loss, after 12-month intervention and after subsequent 6 months of follow-up. Tissue-specific insulin sensitivity was estimated by HOMA-IR (whole body and mostly driven by liver), insulin sensitivity index (ISI)<sub>Clamp</sub> (predominantly skeletal muscle), and free fatty acid (FFA) suppression during hyperinsulinemic-euglycemic clamp (FFA<sub>Supp</sub>) (predominantly adipose tissue). NRP-1 mRNA expression was measured in subcutaneous adipose tissue (NRP-1<sub>AT</sub>) and skeletal muscle (NRP-1<sub>SM</sub>) before and after weight loss. <b><i>Results:</i></b> NRP-1 was highly expressed in adipose tissue (7,893 [7,303–8,536] counts), but neither NRP-1<sub>AT</sub> nor NRP-1<sub>SM</sub> were related to estimates of obesity. Higher NRP-1<sub>AT</sub> was associated with stronger FFA<sub>Supp</sub> (<i>r</i> = −0.343, <i>p</i> = 0.003) and a tendency to higher ISI<sub>Clamp</sub> (<i>r</i> = 0.202, <i>p</i> = 0.085). Weight loss induced a decline of NRP-1<sub>AT</sub> but not NRP-1<sub>SM</sub>. This was more pronounced in subjects with stronger reduction of adipose ACE-2 mRNA expression (<i>r</i> = 0.250; <i>p</i> = 0.032) but was not associated with short- and long-term improvement of FFA<sub>Supp</sub> and ISI<sub>Clamp</sub>. <b><i>Conclusion:</i></b> NRP-1<sub>AT</sub> is related to adipose insulin sensitivity in obesity. Weight loss-induced decline of NRP-1<sub>AT</sub> seems not to be involved in metabolic short- and long-term improvements after weight loss. However, weight loss-induced reduction of both NRP-1<sub>AT</sub> and ACE-2<sub>AT</sub> indicates a lower susceptibility of adipose tissue for SARS-CoV-2 after body weight reduction.
DOI: 10.25721/hywk-jt71
title: Belle Lorient
DOI: 10.25721/q945-8167
title: Il a pu vivre cent ans
DOI: 10.25721/y4wv-n566
title: Lorsque la nuit descend avec mystère
DOI: 10.5517/ccdc.csd.cc257ncg
title: CCDC 2003355: Experimental Crystal Structure Determination

description: Related Article: Nehemiah Harris, Jubilee Benedict, Diane A. Dickie, Silvina Pagola|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc279m17
title: CCDC 2064818: Experimental Crystal Structure Determination

description: Related Article: Kento Moriguchi, Ryosuke Sasaki, Jun-ichi Morita, Yoshinobu Kamakura, Daisuke Tanaka, Yoo Tanabe|2021|CSD Communication|||
description: Related Article: Kento Moriguchi, Ryosuke Sasaki, Jun-ichi Morita, Yoshinobu Kamakura, Daisuke Tanaka, Yoo Tanabe|2021|ACS Omega|6|18135|doi:10.1021/acsomega.1c02000
DOI: 10.5517/ccdc.csd.cc284jsr
title: CCDC 2089734: Experimental Crystal Structure Determination

description: Related Article: Tienan Wang, Aidang Lu|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28mn7t
title: CCDC 2104256: Experimental Crystal Structure Determination

description: Related Article: hai zhen Li|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28mrk7
title: CCDC 2104359: Experimental Crystal Structure Determination

description: Related Article: Nagham Alatrash, Frederick M. Macdonnell|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28mwmf
title: CCDC 2104485: Experimental Crystal Structure Determination

description: Related Article: Robert C. Amesbury, Graham J. Tizzard, Simon J. Coles, Benjamin D. Ward|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28my40
title: CCDC 2104532: Experimental Crystal Structure Determination

description: Related Article: Eugenia Gong|2021|CSD Communication|||
description: Related Article: Lishan Gong, Guo Chen, Yue Liu, Tingwei Wang, Jianguo Zhang, Xiaoyi Yi, Piao He|2021|New J.Chem.|45|22299|doi:10.1039/D1NJ04486A
DOI: 10.5517/ccdc.csd.cc27117l
title: CCDC 2056578: Experimental Crystal Structure Determination

description: Related Article: Guo Ruili|2021|CSD Communication|||
description: Related Article: Chen Su, Wen-Hua Xu, Rui-Li Guo, Xing-Long Zhang, Xue-Qing Zhu, Ya-Ru Gao, Yong-Qiang Wang|2021|J.Org.Chem.|86|13618|doi:10.1021/acs.joc.1c01649
DOI: 10.5517/ccdc.csd.cc28mzrn
title: CCDC 2104582: Experimental Crystal Structure Determination

description: Related Article: Wenbing Qin|2021|CSD Communication|||
description: Related Article: Wen-Bing Qin, Wei Xiong, Ya-Shi Zhao, Kai-Zhong Fu, Lei Su, Guo-Kai Liu|2021|Org.Lett.|23|8482|doi:10.1021/acs.orglett.1c03242
DOI: 10.5517/ccdc.csd.cc28n5lq
title: CCDC 2104763: Experimental Crystal Structure Determination

description: Related Article: Li Yunlong|2021|CSD Communication|||
DOI: 10.6084/m9.figshare.17158025
title: scDeepCluster supporting data

description: Raw scRNA-seq data used in the scDeepCluster paper
DOI: 10.25721/j1se-6246
title: J'aurais voulu chanter toujours
DOI: 10.15161/oar.it/74313
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.5770202
title: Historical Film Shot Dataset V1 (HistShotDS V1)

description: <em>Paper title: </em> <strong>HistShot: A Shot Type Dataset based on Historical Documentation during WWII</strong> <em>Conference title: </em> International Conference on Pattern Recognition Applications and Methods (ICPRAM 2022) <em>Description:</em> Automated shot type classification plays a significant role in film preservation and indexing of film datasets. In this paper a historical shot type dataset (HistShot) is presented, where the frames have been extracted from original historical documentary films. A center frame of each shot has been chosen for the dataset and is annotated according to the following shot types: Close-Up (CU), Medium-Shot (MS), Long-Shot (LS), Extreme-Long-Shot (ELS), Intertitle (I), and Not Available/None (NA). The validity to choose the center frame is shown by a user study. Additionally, standard CNN-based methods (ResNet50, VGG16) have been applied to provide a baseline for the HistShot dataset. <em>References: </em> Github Repository: https://github.com/dahe-cvl/ICPRAM2022_histshotV1 VHH-MMSI: https://vhh-mmsi.eu/ VHH-project Page: https://www.vhh-project.eu/
DOI: 10.5281/zenodo.5770201
title: Historical Film Shot Dataset V1 (HistShotDS V1)

description: <em>Paper title: </em> <strong>HistShot: A Shot Type Dataset based on Historical Documentation during WWII</strong> <em>Conference title: </em> International Conference on Pattern Recognition Applications and Methods (ICPRAM 2022) <em>Description:</em> Automated shot type classification plays a significant role in film preservation and indexing of film datasets. In this paper a historical shot type dataset (HistShot) is presented, where the frames have been extracted from original historical documentary films. A center frame of each shot has been chosen for the dataset and is annotated according to the following shot types: Close-Up (CU), Medium-Shot (MS), Long-Shot (LS), Extreme-Long-Shot (ELS), Intertitle (I), and Not Available/None (NA). The validity to choose the center frame is shown by a user study. Additionally, standard CNN-based methods (ResNet50, VGG16) have been applied to provide a baseline for the HistShot dataset. <em>References: </em> Github Repository: https://github.com/dahe-cvl/ICPRAM2022_histshotV1 VHH-MMSI: https://vhh-mmsi.eu/ VHH-project Page: https://www.vhh-project.eu/
DOI: 10.25721/rmen-ce19
title: "Sois, étoile polaire" (interruption)
DOI: 10.6084/m9.figshare.17085704
title: Data for Ba7Mn4O15, a New Multiferroic Candidate

description: Powder diffraction data, CIFs, SQuID output for the article "Ba7Mn4O15, a New Multfierroic Candidate"
DOI: 10.6084/m9.figshare.17085704.v1
title: Data for Ba7Mn4O15, a New Multiferroic Candidate

description: Powder diffraction data, CIFs, SQuID output for the article "Ba7Mn4O15, a New Multfierroic Candidate"
DOI: 10.6084/m9.figshare.17136548
title: Data for Pressure-Dependent Phase Transitions in Hybrid Improper Ferroelectric Ruddlesden-Popper Oxides

description: Diffraction data from a powder synchrotron X-ray diffraction experiment at I15 at Diamond Light Source, and DFT-relaxed structures for the paper titled Pressure-Dependent Phase Transitions in Hybrid Improper Ferroelectric Ruddlesden-Popper Oxides
DOI: 10.25721/pyh5-y119
title: "Sois, étoile polaire, le phare immobile" (reprise)
DOI: 10.6084/m9.figshare.17158109
title: Supplementary Material for: Dialysis Outcomes in a Middle-Income Country: An Updated Comparison of Patient Mortality between Hemodialysis and Peritoneal Dialysis

description: <b><i>Introduction:</i></b> Comparisons of survival between dialysis modalities is of great importance to patients with kidney failure, their families, and healthcare systems. <b><i>Objective:</i></b> This study’s objective was to compare mortality of patients on chronic hemodialysis (HD) or peritoneal dialysis (PD) and identify variables associated with mortality. <b><i>Methods:</i></b> This retrospective cohort study included adult incident patients with kidney failure treated with HD or PD by the Baxter Renal Care Services network in Colombia. The study was conducted between January 1, 2008, and December 31, 2013 (recruitment period), with follow-up until December 31, 2018. The outcome was the cumulative mortality rate at 1, 2, 3, 4, and 5 years. Propensity score matching (PSM) and the Gompertz parametric survival model were used to compare mortality in HD versus PD. <b><i>Results:</i></b> The analysis included 12,499 patients, of whom 57.4% were on PD at inception. The overall mortality rate was 14.0 events per 100 patient-years (95% confidence interval [CI], 13.61–14.42). Using an intention-to-treat approach, crude mortality rates were significantly lower in patients receiving HD (HD: 12.3 deaths per 100 patient-years [95% CI, 11.7–12.8] vs. PD: 15.5 [14.9–16.1], <i>p</i> &lt; 0.01). Using a Gompertz parametric survival model, dialysis modality was not significantly associated with mortality (hazard ratio HD vs. PD 1.0, 95% CI, 0.9–1.1). After PSM, the mortality cumulative incidence functions between HD and PD were not statistically significantly different (<i>p</i> = 0.88). <b><i>Conclusions:</i></b> The present study in a large cohort of incident dialysis patients with at least 5 years follow-up and using PSM methods showed no differences in cumulative mortality between HD and PD patients. This evidence from a middle-income country may facilitate the process of dialysis modality selection globally.
DOI: 10.6084/m9.figshare.17158112
title: personality_data.xlsx

description: Raw data collected during the study
DOI: 10.34934/dvn/lkdjns
title: Tobacco Study - Belgium 2017-2021

description: Loremp ipsum
DOI: 10.5281/zenodo.5771669
title: evaluation data for "Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)"

description: Data contains sound files of mouse vocalization needed to reproduce the evaluation results for "Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)" If you use any of this data, cite the original source: https://doi.org/10.1016/j.anbehav.2020.09.006
DOI: 10.6084/m9.figshare.16777918.v1
title: A dataset of non-pharmaceutical interventions on SARS-CoV-2 in Europe

description: <b>A dataset of non-pharmaceutical interventions on SARS-CoV-2 in Europe</b>
DOI: 10.5281/zenodo.5771668
title: evaluation data for "Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)"

description: Data contains sound files of mouse vocalization needed to reproduce the evaluation results for "Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)" If you use any of this data, cite the original source: https://doi.org/10.1016/j.anbehav.2020.09.006
DOI: 10.5281/zenodo.5764234
title: AnDY_Data1_Intent detection: multiple subjects, performing actions supported by an Adaptive Shoulder Exoskeleton's device_v1.0

description: This dataset comprises physiological and physical measurements from 12 subjects taking part in an in-lab experiment at DLR's premises, while wearing an adaptive shoulder exoskeleton , in which they performed several sequences of lifting tasks with different weights and motions, with the aim of assessing the efficacy of a regression-based intent-detection algorithm to control the exoskeleton, while gathering input data from two arrays of force miography sensor placed on the moving arm. All data files are provided in csv format, whereas videos of the subjects are provided in .mp4 format, compressed to reduce size and with audio removed to protect privacy.<br> A detailed description of how the data was collected and analyzed will be available in the paper associated with the dataset, currently under review at the time of upload of version 1.0.
DOI: 10.5281/zenodo.5764233
title: AnDY_Data1_Intent detection: multiple subjects, performing actions supported by an Adaptive Shoulder Exoskeleton's device_v1.0

description: This dataset comprises physiological and physical measurements from 12 subjects taking part in an in-lab experiment at DLR's premises, while wearing an adaptive shoulder exoskeleton , in which they performed several sequences of lifting tasks with different weights and motions, with the aim of assessing the efficacy of a regression-based intent-detection algorithm to control the exoskeleton, while gathering input data from two arrays of force miography sensor placed on the moving arm. All data files are provided in csv format, whereas videos of the subjects are provided in .mp4 format, compressed to reduce size and with audio removed to protect privacy.<br> A detailed description of how the data was collected and analyzed will be available in the paper associated with the dataset, currently under review at the time of upload of version 1.0.
DOI: 10.6084/m9.figshare.17145905
title: Random forest results

description: Random forest crosstable and feature results based on digital pathology features. Classifications were conducted between disease (C9-ALS) and control "conditions" overall, divided by marker (CD68/FUS/GFAP/Iba1/TDP43), brain region (BA), matter type (GM/VM), or vascular adjacency (VA). Classifications for subregions are shown as "marker-region", "marker-region-matter" and "all variables". Crosstables show how many images the model correctly classified. <br>"Features" files show which features, when left out, reduced or improved the ability of the model to accurately classify images.<br>"Impairment", "duration" and "ALSFRS" files show the inability of the model to accurately classify between these condition types (as opposed to disease versus control). <br>
DOI: 10.6084/m9.figshare.17145902
title: Digital pathology features

description: Digital pathology features extracted from QuPath analysis of CD68, FUS, GFAP, Iba1 and TDP43 stains at the image (annotations), cell (local) and superpixel (detections) levels. Within files, regions are labelled as BA for Brodmann area, GM and WM for grey/white matter, and NVA and VA for (non)-vascular adjacent.
DOI: 10.5523/bris.2jpy7mh519ono2exurvl84zwzl
title: Emulating the MERINO trial analysis dataset

description: This dataset contains data on the 121 participants who met the eligibility criteria and were included in the analysis of the emulation of the MERINO trial (Evans et al.). Patients were included if they had a BSI with E. coli or Klebsiella spp. that was resistant to Ceftriaxone and/or Cefotaxime and susceptible to both meropenem and piperacillin-tazobactam and treatment was started within 72 hours of blood culture. Patients that would have otherwise been eligible but did not start any of the study drugs (meropenem or piperacillin-tazobactam) within the 72 hours window were considered ineligible and excluded from the emulated trial population. All participants were aged 18 years and over. Polymicrobial infections and repeat episodes were excluded.
DOI: 10.6084/m9.figshare.17158187.v1
title: Hornwort_Specific_RBBH_Analyses

description: RBBH files for Hornwort species, validating OrthoFinder results
DOI: 10.6084/m9.figshare.17158187
title: Hornwort_Specific_RBBH_Analyses

description: RBBH files for Hornwort species, validating OrthoFinder results
DOI: 10.6084/m9.figshare.17158163.v1
title: EPSL-D-18-00415_R2-revised figure.pdf

description: data for figure 2
DOI: 10.6084/m9.figshare.17158193.v1
title: Untitled Item

description: data for figure 1
DOI: 10.6084/m9.figshare.17158193
title: Untitled Item

description: data for figure 1
DOI: 10.6084/m9.figshare.17158163
title: EPSL-D-18-00415_R2-revised figure.pdf

description: data for figure 2
DOI: 10.5517/ccdc.csd.cc28tz47
title: CCDC 2110329: Experimental Crystal Structure Determination

description: Related Article: Shaik Anwar, Li-Tzu Lin, V. Srinivasadesikan, Veera Babu Gudise, Kwunmin Chen|2021|RSC Advances|11|38648|doi:10.1039/D1RA07165C
DOI: 10.5517/ccdc.csd.cc28tz58
title: CCDC 2110330: Experimental Crystal Structure Determination

description: Related Article: Shaik Anwar, Li-Tzu Lin, V. Srinivasadesikan, Veera Babu Gudise, Kwunmin Chen|2021|RSC Advances|11|38648|doi:10.1039/D1RA07165C
DOI: 10.5517/ccdc.csd.cczy3bb
title: CCDC 921702: Experimental Crystal Structure Determination

description: Related Article: Shaik Anwar, Li-Tzu Lin, V. Srinivasadesikan, Veera Babu Gudise, Kwunmin Chen|2021|RSC Advances|11|38648|doi:10.1039/D1RA07165C
DOI: 10.5281/zenodo.5772130
title: Supplementary Data of microbial diversity in the eastern Atlantic Ocean

description: Supplementary Data of microbial diversity in the eastern Atlantic Ocean
DOI: 10.5517/ccdc.csd.cczy7rw
title: CCDC 921839: Experimental Crystal Structure Determination

description: Related Article: Shaik Anwar, Li-Tzu Lin, V. Srinivasadesikan, Veera Babu Gudise, Kwunmin Chen|2021|RSC Advances|11|38648|doi:10.1039/D1RA07165C
DOI: 10.5281/zenodo.5772129
title: Supplementary Data of microbial diversity in the eastern Atlantic Ocean

description: Supplementary Data of microbial diversity in the eastern Atlantic Ocean
DOI: 10.48420/17136839
title: Expressive Gaussian mixture models for high-dimensional statistical modelling: simulated data and neural network model files

description: Neural network model files and Madgraph event generator outputs used as inputs to the results presented in the paper "Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences" arXiv:2108.11481Code and model files can be found at:https://github.com/darrendavidprice/science-discovery/tree/master/expressive_gaussian_mixture_models<br><br><br>
DOI: 10.5281/zenodo.5770359
title: Chaos and irreversibility of a flexible filament in periodically--driven Stokes flow

description: <pre>This directory contains a jupyter notebook file, generate_plots.ipynb which generate all the plots for paper "Chaos and irreversibility of a flexible filament in periodically driven Stokes flow" (arXiv:2111.14638) by Vipin Agrawal and Dhrubaditya Mitra. Readme.md file contains the information on how to use the data. If anything turns out to be incomplete, please reach to vipinagrawal25@gmail.com.</pre>
DOI: 10.25345/c54k44
title: MassIVE MSV000088551 - Pilot Study Evaluating Everolimus Molecular Mechanisms in Tuberous Sclerosis Complex (TSC) and Focal Cortical Dysplasia (FCD)
title: Treatment resistant epilepsy in tuberous sclerosis complex (TSC) and some focal cortical dysplasias (FCDs) are associated with dysfunctional mammalian target of rapamycin (mTOR) signaling. This can upregulate cell growth and proliferation, with increased downstream ribosomal S6 protein phosphorylation (phospho-S6). mTOR inhibitors are used in TSC, the archetypal mTORopathy, to reduce tumor growth or seizure frequency. Preclinical studies in FCD support a potential role in suppressing seizures. This pilot study sought to evaluate the safety of the mTOR inhibitor everolimus in treatment-resistant (failure of &gt; 2 anti-seizure medications) TSC and FCD patients undergoing surgical resection and to assess changes in mTOR signaling and molecular pathways.
DOI: 10.20372/aau_rdr/t4g3wx
title: Information content

description: this repository is about information content
DOI: 10.20372/aau_rdr/fqoyh5/4lwvnb
title: Information Content.docx

description: :unav
DOI: 10.20372/aau_rdr/fqoyh5
title: Information content

description: this repository is about information content