cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5910700
title: Covid-19 et Intention d'utiliser les chèques psycho par les étudiants : la prise en compte du contexte dans la théorie du comportement planifié

description: Cette base de données est issue d’une enquête quantitative par questionnaire (nombre d’observations = 460, période : mars 2021). Elle est construite sur la base de la théorie du comportement planifié. La variable finale que le modèle cherche à expliquer (la variable dépendante) est l’intention d’utiliser les chèques psycho, dispositif proposé par le gouvernement français en février 2021, par les étudiants. Ces chèques permettent aux étudiants de bénéficier de 3 consultations auprès d’un psychologue conventionné, pour un montant total de 96 €. Les objectifs (et les utilisations possibles) de cette BDD sont autant orientés vers les besoins des acteurs (notamment ceux en charge de la mise en œuvre du dispositif « chèque psycho » pour les étudiants ou de dispositifs similaires) que des chercheurs. L’objectif opérationnel est de mesurer (statistiques descriptives) et de comprendre (statistiques explicatives) les facteurs qui conduisent des étudiants à envisager d’utiliser ce dispositif ; et donc à pouvoir comprendre comment agir pour optimiser cette utilisation. L’extension récente (juin 2021) de ce dispositif aux enfants et adolescents de 3 à 17 ans (dispositif « PsyEnfantAdo ») induit un deuxième objectif opérationnel : la possibilité pour les acteurs en charge de ce nouveau dispositif de s’inspirer de la méthodologie présentée dans cette base pour piloter au mieux ce projet. L’objectif théorique réside a) dans la prise en compte de l’impact d’un contexte (le vécu des étudiants durant la pandémie de la Covid-19 (t leur antécédents au niveau psychologique dans la théorie du comportement planifié (TCP) et b) dans la confirmation de la place de l’identité personnelle en tant que mesure alternative de l’intention comportementale (et non en tant que variable explicative de cette intention). Les chercheurs pourront également utiliser cette base dans des méta-analyses sur la TCP, la prise en compte du contexte dans la compréhension de l’intention comportementale et les impacts de la Covid-19.
DOI: 10.5281/zenodo.5881080
title: Covid-19 et Intention d'utiliser les chèques psycho par les étudiants : la prise en compte du contexte dans la théorie du comportement planifié

description: Cette base de données est issue d’une enquête quantitative par questionnaire (nombre d’observations = 460, période : mars 2021). Elle est construite sur la base de la théorie du comportement planifié. La variable finale que le modèle cherche à expliquer (la variable dépendante) est l’intention d’utiliser les chèques psycho, dispositif proposé par le gouvernement français en février 2021, par les étudiants. Ces chèques permettent aux étudiants de bénéficier de 3 consultations auprès d’un psychologue conventionné, pour un montant total de 96 €. Les objectifs (et les utilisations possibles) de cette BDD sont autant orientés vers les besoins des acteurs (notamment ceux en charge de la mise en œuvre du dispositif « chèque psycho » pour les étudiants ou de dispositifs similaires) que des chercheurs. L’objectif opérationnel est de mesurer (statistiques descriptives) et de comprendre (statistiques explicatives) les facteurs qui conduisent des étudiants à envisager d’utiliser ce dispositif ; et donc à pouvoir comprendre comment agir pour optimiser cette utilisation. L’extension récente (juin 2021) de ce dispositif aux enfants et adolescents de 3 à 17 ans (dispositif « PsyEnfantAdo ») induit un deuxième objectif opérationnel : la possibilité pour les acteurs en charge de ce nouveau dispositif de s’inspirer de la méthodologie présentée dans cette base pour piloter au mieux ce projet. L’objectif théorique réside a) dans la prise en compte de l’impact d’un contexte (le vécu des étudiants durant la pandémie de la Covid-19 (t leur antécédents au niveau psychologique dans la théorie du comportement planifié (TCP) et b) dans la confirmation de la place de l’identité personnelle en tant que mesure alternative de l’intention comportementale (et non en tant que variable explicative de cette intention). Les chercheurs pourront également utiliser cette base dans des méta-analyses sur la TCP, la prise en compte du contexte dans la compréhension de l’intention comportementale et les impacts de la Covid-19.
DOI: 10.15161/oar.it/74474
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.5877586
title: Metaclusters by DPCfam clustering of UniRef50 v 2017_07

description: Metaclusters obtained from the DPCfam clustering of UniRef50, v. 2017_07.<br> Metaclusters represent putative protein families automatically derived using the DPCfam method, as described in <em>Unsupervised protein family classification by Density Peak clustering, Russo ET, 2020, PhD Thesis http://hdl.handle.net/20.500.11767/116345 . Supervisors: Alessandro Laio, Marco Punta.</em> Visit also https://dpcfam.areasciencepark.it/ to easily navigate the data. <strong>FILES DESCRIPTION:</strong> <strong>metaclusters_xml.tar.gz </strong>Metaclusters' seeds, unaligned in an xml table. All metaclusters are listed. Metaclusters entries include also some statistical information about each MC (such as size, average length, low complexity fraction etc, ) and Pfam comparison (Dominant Architecture). A README file is included describing the data. A parser is included to transform XML data to space-separated tables. XML schema is included. <strong>metaclusters_msas.tar.gz</strong> Metsclusters' multiple sequence alignments, in fasta format. Only MCs with seeds with 1) more than 50 elements and 2) average length larger than 50 a.a.s are reported . <strong>metaclusters_hmms.tar.gz</strong> Metsclusters' profile-hmms. A ".hmm" file for each metacluser. Only MCs with seeds with 1) more than 50 elements and 2) average length larger than 50 a.a.s are reported . <strong>all_metaclusters_hmm.tar.gz</strong> Collctive metaclusters' profile-hmm. A single .hmm file collecting all MC's profile-hmm. . Only MCs with seeds with 1) more than 50 elements and 2) average length larger than 50 a.a.s are reported <strong>uniref50_annotated.xml.gz</strong> UniRef50 v.2017_07 database annotated with Pfam families and DPCfam metaclusters. A README file is included describing the data. A parser is included to transform XML data to space-separated tables. XML schema is included. XML schema is derived from uniprot's UniRef50 xml schema.
description: {"references": ["Unsupervised protein family classification by Density Peak clustering, Russo ET, 2020, PhD Thesis http://hdl.handle.net/20.500.11767/116345 . Supervisors: Alessandro Laio, Marco Punta."]}
DOI: 10.5517/ccdc.csd.cc27yr65
title: CCDC 2084167: Experimental Crystal Structure Determination

description: Related Article: Zhiqiang Li, Ludan Zhao, Qiaomei Sun, Na Gan, Qiyi Zhang, Ji Yang, Bin Yi, Xiaoxiang Liao, Donglai Zhu, Hui Li|2022|Spectrochim.Acta,Part A|270|120868|doi:10.1016/j.saa.2022.120868
description: Related Article: Zhiqiang Li, Na Gan, Qiaomei Sun, Qiyi Zhang, Ji Yang, Bin Yi, Xiaoxiang Liao, Donglai Zhu, Tinghua Li, Hui Li|2022|J.Mol.Struct.|1254|132414|doi:10.1016/j.molstruc.2022.132414
DOI: 10.5517/ccdc.csd.cc27yz06
title: CCDC 2084378: Experimental Crystal Structure Determination

description: Related Article: Kang Yuan, Daniel Volland, Sven Kirschner, Marina Uzelac, Gary S. Nichol, Agnieszka Nowak-Król, Michael J. Ingleson|2022|Chemical Science|13|1136|doi:10.1039/D1SC06513K
DOI: 10.5517/ccdc.csd.cc27yz17
title: CCDC 2084379: Experimental Crystal Structure Determination

description: Related Article: Kang Yuan, Daniel Volland, Sven Kirschner, Marina Uzelac, Gary S. Nichol, Agnieszka Nowak-Król, Michael J. Ingleson|2022|Chemical Science|13|1136|doi:10.1039/D1SC06513K
DOI: 10.5517/ccdc.csd.cc27yz28
title: CCDC 2084380: Experimental Crystal Structure Determination

description: Related Article: Kang Yuan, Daniel Volland, Sven Kirschner, Marina Uzelac, Gary S. Nichol, Agnieszka Nowak-Król, Michael J. Ingleson|2022|Chemical Science|13|1136|doi:10.1039/D1SC06513K
DOI: 10.5517/ccdc.csd.cc28n4bf
title: CCDC 2104724: Experimental Crystal Structure Determination

description: Related Article: Amymarie K. Bartholomew, Elena Meirzadeh, Ilana B. Stone, Christie S. Koay, Colin Nuckolls, Michael L. Steigerwald, Andrew C. Crowther, Xavier Roy|2022|J.Am.Chem.Soc.|144|1119|doi:10.1021/jacs.1c12072
DOI: 10.5517/ccdc.csd.cc28n4gk
title: CCDC 2104728: Experimental Crystal Structure Determination

description: Related Article: Amymarie K. Bartholomew, Elena Meirzadeh, Ilana B. Stone, Christie S. Koay, Colin Nuckolls, Michael L. Steigerwald, Andrew C. Crowther, Xavier Roy|2022|J.Am.Chem.Soc.|144|1119|doi:10.1021/jacs.1c12072
DOI: 10.5517/ccdc.csd.cc28qywv
title: CCDC 2107438: Experimental Crystal Structure Determination

description: Related Article: Eliška Procházková, Juraj Filo, Lucie Mužíková Čechová, Martin Dračínský, Ivana Císařová, Zlatko Janeba, Izuru Kawamura, Akira Naito, Ivo Kuběna, Peter Nádaždy, Peter Šiffalovič, Marek Cigáň|2022|Dyes Pigm.|199|110066|doi:10.1016/j.dyepig.2021.110066
DOI: 10.5517/ccdc.csd.cc28qyxw
title: CCDC 2107439: Experimental Crystal Structure Determination

description: Related Article: Eliška Procházková, Juraj Filo, Lucie Mužíková Čechová, Martin Dračínský, Ivana Císařová, Zlatko Janeba, Izuru Kawamura, Akira Naito, Ivo Kuběna, Peter Nádaždy, Peter Šiffalovič, Marek Cigáň|2022|Dyes Pigm.|199|110066|doi:10.1016/j.dyepig.2021.110066
DOI: 10.5517/ccdc.csd.cc28qyyx
title: CCDC 2107440: Experimental Crystal Structure Determination

description: Related Article: Eliška Procházková, Juraj Filo, Lucie Mužíková Čechová, Martin Dračínský, Ivana Císařová, Zlatko Janeba, Izuru Kawamura, Akira Naito, Ivo Kuběna, Peter Nádaždy, Peter Šiffalovič, Marek Cigáň|2022|Dyes Pigm.|199|110066|doi:10.1016/j.dyepig.2021.110066
DOI: 10.6084/m9.figshare.19085909
title: Supplementary Material for: Stage at Diagnosis and Prognosis of Colorectal, Stomach, Lung, Liver, Kidney, and Bladder Cancers in Dialysis Patients: A Multicenter Retrospective Study Using Cancer Registry Data and Administrative Data

description: <b><i>Background:</i></b> Cancer is an important comorbidity that can affect survival in dialysis patients. However, it is unclear if dialysis patients who develop cancer are disadvantaged by later detection and poorer prognosis. This study comparatively examined the stage at diagnosis and prognosis of several common cancer types in dialysis and nondialysis patients. <b><i>Methods:</i></b> In this retrospective cohort study, cancer registry data were linked with administrative data to identify dialysis and nondialysis patients with any new diagnosis of cancer between 2010 and 2015 at 36 hospitals in Osaka Prefecture, Japan. In these patients, we identified the cancer stage at diagnosis for patients with colorectal, stomach, lung, liver, kidney, and bladder cancers. The association between dialysis and survival time (up to 3 years of follow-up) was examined for each cancer type using Cox proportional hazards models that adjusted for age, sex, and cancer stage. <b><i>Results:</i></b> We analyzed 2,161 dialysis patients and 158,964 nondialysis patients with cancer. Dialysis patients had a higher prevalence of colorectal, liver, and kidney cancers than nondialysis patients. Colorectal, stomach, lung, liver, and kidney cancers were diagnosed earlier in dialysis patients, whereas bladder cancer was diagnosed at an advanced stage. The Cox proportional hazards models revealed that mortality was significantly higher in dialysis patients with colorectal, stomach, lung, and bladder cancers than in nondialysis patients (all <i>p</i> &lt; 0.05). <b><i>Conclusions:</i></b> Dialysis patients had higher mortality for several common cancers despite their earlier detection. This poorer prognosis may be influenced by the unavailability and complications of cancer treatment for these patients.
DOI: 10.6084/m9.figshare.19085909.v1
title: Supplementary Material for: Stage at Diagnosis and Prognosis of Colorectal, Stomach, Lung, Liver, Kidney, and Bladder Cancers in Dialysis Patients: A Multicenter Retrospective Study Using Cancer Registry Data and Administrative Data

description: <b><i>Background:</i></b> Cancer is an important comorbidity that can affect survival in dialysis patients. However, it is unclear if dialysis patients who develop cancer are disadvantaged by later detection and poorer prognosis. This study comparatively examined the stage at diagnosis and prognosis of several common cancer types in dialysis and nondialysis patients. <b><i>Methods:</i></b> In this retrospective cohort study, cancer registry data were linked with administrative data to identify dialysis and nondialysis patients with any new diagnosis of cancer between 2010 and 2015 at 36 hospitals in Osaka Prefecture, Japan. In these patients, we identified the cancer stage at diagnosis for patients with colorectal, stomach, lung, liver, kidney, and bladder cancers. The association between dialysis and survival time (up to 3 years of follow-up) was examined for each cancer type using Cox proportional hazards models that adjusted for age, sex, and cancer stage. <b><i>Results:</i></b> We analyzed 2,161 dialysis patients and 158,964 nondialysis patients with cancer. Dialysis patients had a higher prevalence of colorectal, liver, and kidney cancers than nondialysis patients. Colorectal, stomach, lung, liver, and kidney cancers were diagnosed earlier in dialysis patients, whereas bladder cancer was diagnosed at an advanced stage. The Cox proportional hazards models revealed that mortality was significantly higher in dialysis patients with colorectal, stomach, lung, and bladder cancers than in nondialysis patients (all <i>p</i> &lt; 0.05). <b><i>Conclusions:</i></b> Dialysis patients had higher mortality for several common cancers despite their earlier detection. This poorer prognosis may be influenced by the unavailability and complications of cancer treatment for these patients.
DOI: 10.6084/m9.figshare.19063937
title: Data from: Effectiveness of Patient Training in Inflammatory Bowel Disease via Instagram: A Randomized Controlled Trial

description: <strong>Background:</strong> Disease related knowledge acts as success factor in chronical conditions to improve adherence and outcomes. There are many programs to improve disease related knowledge, in recent years especially digital or web-based approaches. Some of these approaches still lack in integration into patients' daily lives. <br><strong>Objective:</strong> To assess if patient training via Instagram is an effective way to increase disease related knowledge in patients with inflammatory bowel diseases.<br><strong>Methods:</strong> A randomized controlled trial was conducted. The intervention group received access to an Instagram account for 5 weeks that provided educational content in the story-function of Instagram. Control group did not receive any intervention. The level of disease related knowledge was assessed by IBD-KNOW before and after the intervention.<br><strong>Results:</strong> n=83 participants were randomized to control and treatment group. n=49 participants (intervention: 25, control: 24) filled out both questionnaires. Disease related knowledge before the intervention did not statistically significant differ between groups. After the intervention, disease related knowledge was 3.59 points higher in the intervention group compared to control (p<br><strong>Conclusion:</strong> Patient education via Instagram could be regarded as an effective way of educating patients with inflammatory bowel disease.
DOI: 10.6084/m9.figshare.19063937.v1
title: Data from: Effectiveness of Patient Training in Inflammatory Bowel Disease via Instagram: A Randomized Controlled Trial

description: <strong>Background:</strong> Disease related knowledge acts as success factor in chronical conditions to improve adherence and outcomes. There are many programs to improve disease related knowledge, in recent years especially digital or web-based approaches. Some of these approaches still lack in integration into patients' daily lives. <br><strong>Objective:</strong> To assess if patient training via Instagram is an effective way to increase disease related knowledge in patients with inflammatory bowel diseases.<br><strong>Methods:</strong> A randomized controlled trial was conducted. The intervention group received access to an Instagram account for 5 weeks that provided educational content in the story-function of Instagram. Control group did not receive any intervention. The level of disease related knowledge was assessed by IBD-KNOW before and after the intervention.<br><strong>Results:</strong> n=83 participants were randomized to control and treatment group. n=49 participants (intervention: 25, control: 24) filled out both questionnaires. Disease related knowledge before the intervention did not statistically significant differ between groups. After the intervention, disease related knowledge was 3.59 points higher in the intervention group compared to control (p<br><strong>Conclusion:</strong> Patient education via Instagram could be regarded as an effective way of educating patients with inflammatory bowel disease.
DOI: 10.48370/ofd/i7pcvn/gbwyev
title: MRIPAS_coll_17365_SorexCaecutiens_1965_F_body_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/i7pcvn
title: Sorex caecutiens - 17365, Zoological collection of the Mammal Research Institute, PAS

description: Sorex caecutiens (Laxmann's shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1956-09-09, in: Białowieża National Park, Poland. Material type: body
DOI: 10.6084/m9.figshare.17694668
title: Supplementary Material for: Bioinformatic Analysis Reveals the Distinct Role of 5’UTR-specific m6A RNA Modification in Mice Developing Cerebral Cortices

description: N6-methyladenosine (m6A) abundantly exists in the cerebral cortex, and is emerging as an essential factor in cortical development and function. As the m6A binding site appears to be dynamically methylated in different RNA regions at the temporal-specific developing stage, it is of value to distinguish the unique character of region- and temporal-specific m6A. Herein, we analyzed the status of temporal-specific m6A within RNA 5’ untranslated region (5’UTR) using m6A-methylated sequencing data and transcriptomic sequencing data from 12.5-13-day embryonic cerebral cortices and 14-day postnatal ones. We identified sorts of RNAs that are uniquely m6A-methylated in the 5’UTR region and sorted them into specific neurological processes. Compared with 3’UTR-m6A-methylated RNAs, 5’UTR-m6A-methylated RNAs showed unique functions and mechanisms in regulating cortical development, especially through the pathway of mRNA transport and surveillance. Moreover, the 5’UTR-specific m6A was associated with neurological disorders as well. The FoxO signaling pathway was then focused by these pathogenic 5’UTR-m6A-methylated RNAs, and explored to be involved in the determination of neurological disorders. Additionally, the 5’UTR-m6A-modification patterns and transcriptional patterns play independent but cohesive roles in the developing cortices. Our study emphasizes the importance of 5’UTR-specific m6A in the developing cortex and provides an informative reference for future studies of 5’UTR-specific m6A in normal cortical development and neurological disorders.
DOI: 10.6084/m9.figshare.17694668.v1
title: Supplementary Material for: Bioinformatic Analysis Reveals the Distinct Role of 5’UTR-specific m6A RNA Modification in Mice Developing Cerebral Cortices

description: N6-methyladenosine (m6A) abundantly exists in the cerebral cortex, and is emerging as an essential factor in cortical development and function. As the m6A binding site appears to be dynamically methylated in different RNA regions at the temporal-specific developing stage, it is of value to distinguish the unique character of region- and temporal-specific m6A. Herein, we analyzed the status of temporal-specific m6A within RNA 5’ untranslated region (5’UTR) using m6A-methylated sequencing data and transcriptomic sequencing data from 12.5-13-day embryonic cerebral cortices and 14-day postnatal ones. We identified sorts of RNAs that are uniquely m6A-methylated in the 5’UTR region and sorted them into specific neurological processes. Compared with 3’UTR-m6A-methylated RNAs, 5’UTR-m6A-methylated RNAs showed unique functions and mechanisms in regulating cortical development, especially through the pathway of mRNA transport and surveillance. Moreover, the 5’UTR-specific m6A was associated with neurological disorders as well. The FoxO signaling pathway was then focused by these pathogenic 5’UTR-m6A-methylated RNAs, and explored to be involved in the determination of neurological disorders. Additionally, the 5’UTR-m6A-modification patterns and transcriptional patterns play independent but cohesive roles in the developing cortices. Our study emphasizes the importance of 5’UTR-specific m6A in the developing cortex and provides an informative reference for future studies of 5’UTR-specific m6A in normal cortical development and neurological disorders.
DOI: 10.5258/soton/d2109
title: Mechanistic probes into the action of high-intensity ultrasound within edible lipids

description: This file includes the data underpinning the work conducted for the third results chapter of the thesis (Chapter 5). This includes data pertaining to several experiments designed to isolate the different proposed effects of HIU within the crystallisation of edible lipids. This includes isolation of the pressure shock wave; effect of the HIU excitation time within the overall crystallisation process; comparison to liquid flow generated by agitation alone; and the addition of extra pre-crystallisation material. This involved monitoring the lipid crystallisation kinetics, the physicochemical properties and acoustic emission measurements in the presence of high-intensity ultrasound treatments within an all-purpose shortening sample.
DOI: 10.5258/soton/d2111
title: Bubble dynamics in the absence of lipid crystallisation

description: This dataset file includes the data underpinning the work conducted for the first results chapter of the thesis (Chapter 3). This includes data pertaining to the characterisation of different cavitation cluster behaviours within edible liquids, the presence of a unique, low power bifurcated or bi-cluster cavitation environment and analysis of its lifetime as a function of sample temperature. This utilised laser scattering, hydrophone pressure measurements, high-speed imaging and audio emission analysis. This was conducted in the presence of high-intensity ultrasound treatments, typically within a soybean oil or sunflower oil sample.