cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24145413
title: <b>Uncovering the Truth Behind Retracted Medical Articles: An Analysis on the Studies of Medical Retractions</b>

description: This is the list of publications that were utilized in the retraction study; it contains bibliographic information as well as the findings from the research reports that were obtained for the study.
DOI: 10.6084/m9.figshare.24099924
title: Mazur_2023_6_loci_Lecanora_sp_nov

description: The deposited data contain the alignment of 6 loci of species of the genus <i>Lecanora </i>s.l. Phylogenetic reconstructions were based on 5,000 ultrafast bootstrap replicates to estimate branch support among all loci. Bolded branches received the support of &gt; 80% of SH aLRT test, &gt; 0.95 of aBayes analyses and bootstrap support ≥ 95% of UFBoot2 support.
DOI: 10.6084/m9.figshare.24099924.v1
title: Mazur_2023_6_loci_Lecanora_sp_nov

description: The deposited data contain the alignment of 6 loci of species of the genus <i>Lecanora </i>s.l. Phylogenetic reconstructions were based on 5,000 ultrafast bootstrap replicates to estimate branch support among all loci. Bolded branches received the support of &gt; 80% of SH aLRT test, &gt; 0.95 of aBayes analyses and bootstrap support ≥ 95% of UFBoot2 support.
DOI: 10.6084/m9.figshare.24145449
title: RNA sequencing data from mouse liver samples

description: Liver samples were obtained from 3 control wild-type mice (sample numbers ND-1, ND-2, ND-3), 3 obese mice with normal insulin sensitivity (sample numbers H4-1, H4-2, H4-3), and 3 metabolic syndrome mice with impaired insulin sensitivity (sample numbers H12-1, H12-2, H12-3). RNA was extracted from mouse liver tissue samples and sequenced to analyze the expression levels of different genes.
DOI: 10.6084/m9.figshare.24145449.v1
title: RNA sequencing data from mouse liver samples

description: Liver samples were obtained from 3 control wild-type mice (sample numbers ND-1, ND-2, ND-3), 3 obese mice with normal insulin sensitivity (sample numbers H4-1, H4-2, H4-3), and 3 metabolic syndrome mice with impaired insulin sensitivity (sample numbers H12-1, H12-2, H12-3). RNA was extracted from mouse liver tissue samples and sequenced to analyze the expression levels of different genes.
DOI: 10.5281/zenodo.8347825
title: Comparison of heterologous β-alanine-responsive biosensors in Escherichia coli

description: This dataset contains the raw data that lie at the basis of the results discussed in <strong>Chapter 6: Comparison of heterologous β-alanine-responsive biosensors in <em>Escherichia coli</em> </strong>of the PhD thesis of Amber Bernauw. The README.txt file provides more information on the different data files.
DOI: 10.5281/zenodo.8347824
title: Comparison of heterologous β-alanine-responsive biosensors in Escherichia coli

description: This dataset contains the raw data that lie at the basis of the results discussed in <strong>Chapter 6: Comparison of heterologous β-alanine-responsive biosensors in <em>Escherichia coli</em> </strong>of the PhD thesis of Amber Bernauw. The README.txt file provides more information on the different data files.
DOI: 10.6084/m9.figshare.24145545
title: Mathematica derivation of signed-distance coordinates for surfaces from Orthogonal signed-distance coordinates and vector calculus near evolving curves and surfaces

description: We provide an elementary derivation of an orthogonal coordinate system for boundary layers around evolving smooth surfaces and curves based on the signed-distance function. We go beyond previous works on the signed-distance function and collate useful vector calculus identities for these coordinates. These results provided code enable consistent accounting of geometric effects to arbitrary order for boundary layer asymptotics in a wide range of physical systems.
DOI: 10.6084/m9.figshare.24145545.v1
title: Mathematica derivation of signed-distance coordinates for surfaces from Orthogonal signed-distance coordinates and vector calculus near evolving curves and surfaces

description: We provide an elementary derivation of an orthogonal coordinate system for boundary layers around evolving smooth surfaces and curves based on the signed-distance function. We go beyond previous works on the signed-distance function and collate useful vector calculus identities for these coordinates. These results provided code enable consistent accounting of geometric effects to arbitrary order for boundary layer asymptotics in a wide range of physical systems.
DOI: 10.6084/m9.figshare.24145548
title: Mathematica code to generate figure 1 from Orthogonal signed-distance coordinates and vector calculus near evolving curves and surfaces

description: We provide an elementary derivation of an orthogonal coordinate system for boundary layers around evolving smooth surfaces and curves based on the signed-distance function. We go beyond previous works on the signed-distance function and collate useful vector calculus identities for these coordinates. These results provided code enable consistent accounting of geometric effects to arbitrary order for boundary layer asymptotics in a wide range of physical systems.
DOI: 10.6084/m9.figshare.24145548.v1
title: Mathematica code to generate figure 1 from Orthogonal signed-distance coordinates and vector calculus near evolving curves and surfaces

description: We provide an elementary derivation of an orthogonal coordinate system for boundary layers around evolving smooth surfaces and curves based on the signed-distance function. We go beyond previous works on the signed-distance function and collate useful vector calculus identities for these coordinates. These results provided code enable consistent accounting of geometric effects to arbitrary order for boundary layer asymptotics in a wide range of physical systems.
DOI: 10.6084/m9.figshare.24145551
title: Mathematica code to generate figure 3 from Orthogonal signed-distance coordinates and vector calculus near evolving curves and surfaces

description: We provide an elementary derivation of an orthogonal coordinate system for boundary layers around evolving smooth surfaces and curves based on the signed-distance function. We go beyond previous works on the signed-distance function and collate useful vector calculus identities for these coordinates. These results provided code enable consistent accounting of geometric effects to arbitrary order for boundary layer asymptotics in a wide range of physical systems.
DOI: 10.6084/m9.figshare.24145551.v1
title: Mathematica code to generate figure 3 from Orthogonal signed-distance coordinates and vector calculus near evolving curves and surfaces

description: We provide an elementary derivation of an orthogonal coordinate system for boundary layers around evolving smooth surfaces and curves based on the signed-distance function. We go beyond previous works on the signed-distance function and collate useful vector calculus identities for these coordinates. These results provided code enable consistent accounting of geometric effects to arbitrary order for boundary layer asymptotics in a wide range of physical systems.
DOI: 10.6084/m9.figshare.24145554
title: Mathematica code to generate figure 2 from Orthogonal signed-distance coordinates and vector calculus near evolving curves and surfaces

description: We provide an elementary derivation of an orthogonal coordinate system for boundary layers around evolving smooth surfaces and curves based on the signed-distance function. We go beyond previous works on the signed-distance function and collate useful vector calculus identities for these coordinates. These results provided code enable consistent accounting of geometric effects to arbitrary order for boundary layer asymptotics in a wide range of physical systems.
DOI: 10.6084/m9.figshare.24145554.v1
title: Mathematica code to generate figure 2 from Orthogonal signed-distance coordinates and vector calculus near evolving curves and surfaces

description: We provide an elementary derivation of an orthogonal coordinate system for boundary layers around evolving smooth surfaces and curves based on the signed-distance function. We go beyond previous works on the signed-distance function and collate useful vector calculus identities for these coordinates. These results provided code enable consistent accounting of geometric effects to arbitrary order for boundary layer asymptotics in a wide range of physical systems.
DOI: 10.6084/m9.figshare.24145557
title: Mathematica derivation of signed-distance coordinates around curves from Orthogonal signed-distance coordinates and vector calculus near evolving curves and surfaces

description: We provide an elementary derivation of an orthogonal coordinate system for boundary layers around evolving smooth surfaces and curves based on the signed-distance function. We go beyond previous works on the signed-distance function and collate useful vector calculus identities for these coordinates. These results provided code enable consistent accounting of geometric effects to arbitrary order for boundary layer asymptotics in a wide range of physical systems.
DOI: 10.6084/m9.figshare.24145557.v1
title: Mathematica derivation of signed-distance coordinates around curves from Orthogonal signed-distance coordinates and vector calculus near evolving curves and surfaces

description: We provide an elementary derivation of an orthogonal coordinate system for boundary layers around evolving smooth surfaces and curves based on the signed-distance function. We go beyond previous works on the signed-distance function and collate useful vector calculus identities for these coordinates. These results provided code enable consistent accounting of geometric effects to arbitrary order for boundary layer asymptotics in a wide range of physical systems.
DOI: 10.5281/zenodo.8345200
title: RESISTIRÉ Dataset: Narratives on inequalities caused by policy and societal responses to Covid-19 in Europe – third cycle

description: This dataset contains 289 narratives, including keywords and specifically telling quotes. It is the third of three sets of narratives collected and analysed in RESISTIRÉ. These narrative interviews were conducted in national languages by the consortium partners and a network of national researchers covering the EU27 (except Malta), and Iceland, Serbia, and the UK in September-December 2022.[1] Narrative interviewing is a qualitative research method that involves inviting participants to tell their own stories and experiences in their own words. The technique is used to collect and share a person’s story which entails both a research methodology and a mechanism for storytelling i.e. both a way of telling a story, and a way of knowing<em>. </em>Narratives as a technique can make visible how multiple sources of inequalities intersect, as well as the situational and contextual nature of inequalities from a single person’s perspective. [1] For an analysis of the narratives, see Sandström, L., Callerstig, A-C., Strid, S., Lionello, L., & Rossetti, F. (2023). RESISTIRE D4.3 Summary report on qualitative indicators - cycle 3. Zenodo. https://doi.org/10.5281/zenodo.7708724.
DOI: 10.5281/zenodo.8345201
title: RESISTIRÉ Dataset: Narratives on inequalities caused by policy and societal responses to Covid-19 in Europe – third cycle

description: This dataset contains 289 narratives, including keywords and specifically telling quotes. It is the third of three sets of narratives collected and analysed in RESISTIRÉ. These narrative interviews were conducted in national languages by the consortium partners and a network of national researchers covering the EU27 (except Malta), and Iceland, Serbia, and the UK in September-December 2022.[1] Narrative interviewing is a qualitative research method that involves inviting participants to tell their own stories and experiences in their own words. The technique is used to collect and share a person’s story which entails both a research methodology and a mechanism for storytelling i.e. both a way of telling a story, and a way of knowing<em>. </em>Narratives as a technique can make visible how multiple sources of inequalities intersect, as well as the situational and contextual nature of inequalities from a single person’s perspective. [1] For an analysis of the narratives, see Sandström, L., Callerstig, A-C., Strid, S., Lionello, L., & Rossetti, F. (2023). RESISTIRE D4.3 Summary report on qualitative indicators - cycle 3. Zenodo. https://doi.org/10.5281/zenodo.7708724.
DOI: 10.5281/zenodo.8347878
title: RESISTIRÉ Dataset: Narratives on inequalities caused by policy and societal responses to Covid-19 in Europe – third cycle

description: This dataset contains 289 narratives, including keywords and specifically telling quotes. It is the third of three sets of narratives collected and analysed in RESISTIRÉ. These narrative interviews were conducted in national languages by the consortium partners and a network of national researchers covering the EU27 (except Malta), and Iceland, Serbia, and the UK in September-December 2022.[1] Narrative interviewing is a qualitative research method that involves inviting participants to tell their own stories and experiences in their own words. The technique is used to collect and share a person’s story which entails both a research methodology and a mechanism for storytelling i.e. both a way of telling a story, and a way of knowing<em>. </em>Narratives as a technique can make visible how multiple sources of inequalities intersect, as well as the situational and contextual nature of inequalities from a single person’s perspective. [1] For an analysis of the narratives, see Sandström, L., Callerstig, A-C., Strid, S., Lionello, L., & Rossetti, F. (2023). RESISTIRE D4.3 Summary report on qualitative indicators - cycle 3. Zenodo. https://doi.org/10.5281/zenodo.7708724.
DOI: 10.17633/rd.brunel.24039003
title: How do adults with neurodevelopmental disorders prefer information being presented? Dataset

description: The aim of the current study is to examine what presentation preferences adults with different neurodiversities have. The specific neurodevelopmental disorders we have chosen to pursue are: ADHD, Autism, Dyslexia, Dyscalculia and Dyspraxia. The stimuli we have chosen to test are: font size, font colour, font type, line spacing, background colour, presentation of instructions, presentation of title and types of rewards. Participants were asked to complete a number of sections via an online survey. Participants were asked to rate how easy a sentence was to read for them. Each sentence had one of the following variables changed: font size, font style, spacing between characters, spacing between lines, and background colour. Each item was scored on a 5-point, Likert-type scale (1 = strongly disagree, 5 = strongly agree), so that higher scores reflected that the sentence was easy to read. Participants were also asked to rank the sentences from least favourite to favourite per variable. Participants were presented with example instructions and were asked to select the response that most accurately represented their opinion of the layout of the instructions. Each item was scored on a 5-point, Likert-type scale (1 = strongly disagree, 5 = strongly agree), so that higher scores reflected that the instructions were easy to read. Participants were presented with some example titles and had to rate how much the title in the example was distracted from the main text. Each item was scored on a 5-point, Likert-type scale (1 = strongly disagree, 5 = strongly agree), so that higher scores reflected that the title was not distracting from the main text. Participants were presented with different icons for collecting rewards and were asked to rate to what extent they would enjoy collecting rewards using those icons. Each item was scored on a 5-point, Likert-type scale (1 = strongly disagree, 5 = strongly agree), so that higher scores reflected that the icon was very enjoyable.Results indicated that all neurodiverse groups had similar preferences across all variables, with one category in each being significantly preferred across all groups. The exception to this was background colour, in which each neurodiverse group preferred a different colour.
DOI: 10.17633/rd.brunel.24045507
title: Is All Mental Harm Equal? The Importance of Discussing Civilian War Trauma from a Socio-Economic Legal Framework’s Perspective

description: The data denotes the family, education and income levels of the participants as well as the intensity of the PTSD symptoms experienced after exposure to rocket attacks.
DOI: 10.17633/rd.brunel.24045507.v1
title: Is All Mental Harm Equal? The Importance of Discussing Civilian War Trauma from a Socio-Economic Legal Framework’s Perspective

description: The data denotes the family, education and income levels of the participants as well as the intensity of the PTSD symptoms experienced after exposure to rocket attacks.
DOI: 10.15151/esrf-es-1299126859
title: Cryo-electron microscopy EPN BAG

description: At the EPN campus level structural biology work is carried out in all the 4 institutes (IBS, ESRF, ILL and EMBL). Today all structural biology groups are turning to cryo-EM. The EM demand is therefore extremely high and present in the 4 Institutes. In a nutshell, there are more than 45 PIs that could benefit from Krios time on the EPN campus (more than 90 different samples). Around 20 % of the sample are ready for high resolution data collection with already prepared grids that have been pre-screened on Glacios microscopes. Whereas some work could be carried out on Glacios microscopes, for difficult samples the use of a krios is indispensable (heterogeneous sample or limited concentration requiring a large number of images; small protein etc). Only these samples will be selected for Krios time at the BAG level
DOI: 10.17633/rd.brunel.24083472
title: IWB During COVID-19 in Combined UK, Greece, India Dataset

description: We examined the construct validity of a 28-item survey that was designed to measure <i>inner wellbeing</i> (i.e., individuals’ thoughts and feelings about what they can do and be; White et al., 2014) among individuals in (1) the Global South nation of India (<i>n </i>= 205), (2) the Global North nation of the United Kingdom (<i>n</i> = 392), and (3) the nation of Greece, which is not readily categorized as Global South <i>or</i> Global North (<i>n</i> = 354) during COVID lockdown. Using a series of multiple-group confirmatory factor analyses via LISREL 10.20 (Joreskog & Sorbom, 2019), we tested the hypothesis that a model specifying seven factors (i.e., <i>economic confidence</i>, <i>agency/participation</i>, <i>social connections</i>, <i>close relationships</i>, <i>physical/mental health</i>, <i>competence/self-worth</i>, and <i>values/meaning</i> as intercorrelated domains) would provide a significantly better fit to the correlational data than would a model specifying a one factor (i.e., unidimensional inner wellbeing).
DOI: 10.17633/rd.brunel.24083472.v1
title: IWB During COVID-19 in Combined UK, Greece, India Dataset

description: We examined the construct validity of a 28-item survey that was designed to measure <i>inner wellbeing</i> (i.e., individuals’ thoughts and feelings about what they can do and be; White et al., 2014) among individuals in (1) the Global South nation of India (<i>n </i>= 205), (2) the Global North nation of the United Kingdom (<i>n</i> = 392), and (3) the nation of Greece, which is not readily categorized as Global South <i>or</i> Global North (<i>n</i> = 354) during COVID lockdown. Using a series of multiple-group confirmatory factor analyses via LISREL 10.20 (Joreskog & Sorbom, 2019), we tested the hypothesis that a model specifying seven factors (i.e., <i>economic confidence</i>, <i>agency/participation</i>, <i>social connections</i>, <i>close relationships</i>, <i>physical/mental health</i>, <i>competence/self-worth</i>, and <i>values/meaning</i> as intercorrelated domains) would provide a significantly better fit to the correlational data than would a model specifying a one factor (i.e., unidimensional inner wellbeing).
DOI: 10.17633/rd.brunel.23735613
title: PyCoM database: Coevolution matrices

description: Coevolution matrices of curated set of proteins from UniProt. Coevolution matrices were calculated using ccmpred from the sequence alignment generated from hh-suite package.
DOI: 10.17633/rd.brunel.23735613.v2
title: PyCoM database: Coevolution matrices

description: Coevolution matrices of curated set of proteins from UniProt. Coevolution matrices were calculated using ccmpred from the sequence alignment generated from hh-suite package.
DOI: 10.17633/rd.brunel.23735613.v1
title: PyCoM: ProCoM Database of coevolution matrices

description: Coevolution matrices of curated set of proteins from UniProt. Coevolution matrices were calculated using ccmpred from the sequence alignment generated from hh-suite package.
DOI: 10.17633/rd.brunel.23733309
title: PyCoM database: Curated UniProt protein database

description: Curated information about proteins from UniProt database that can be queried using PyCoM library (pycom.brunel.ac.uk)
DOI: 10.17633/rd.brunel.23733309.v2
title: PyCoM database: Curated UniProt protein database

description: Curated information about proteins from UniProt database that can be queried using PyCoM library (pycom.brunel.ac.uk)
DOI: 10.17633/rd.brunel.23733309.v1
title: PyCoM: ProCoM Curated UniProt protein database

description: Curated information about proteins from UniProt database
DOI: 10.5281/zenodo.8347908
title: Dataset_Acoustic_Filtration.csv

description: Dateset of the measured values used in our publication "An Experimental Investigation of the Influence of High-Frequency Standing Sound Waves on Depth Filtration Using Coarse-Pored~Media"
DOI: 10.5281/zenodo.8347907
title: Dataset_Acoustic_Filtration.csv

description: Dateset of the measured values used in our publication "An Experimental Investigation of the Influence of High-Frequency Standing Sound Waves on Depth Filtration Using Coarse-Pored~Media"
DOI: 10.6084/m9.figshare.24145521
title: Gene expression profiling analysis of blood samples

description: Blood samples were collected from 13 healthy controls, 13 obese patients with normal insulin sensitivity and 13 metabolic syndrome patients with insulin resistance. These participants were all male. Approximately 2.5 ml of venous blood was collected and blood was used to extract RNA for gene expression profiling analysis. Data sets for differential analysis of gene expression levels between insulin-sensitive obese patients versus controls are provided in the 'obesity vs control' file. Data sets for differential analysis of gene expression levels between insulin-resistant metabolic syndrome patients versus controls are provided in the 'metabolic syndrome vs control' file.
DOI: 10.6084/m9.figshare.24145521.v1
title: Gene expression profiling analysis of blood samples

description: Blood samples were collected from 13 healthy controls, 13 obese patients with normal insulin sensitivity and 13 metabolic syndrome patients with insulin resistance. These participants were all male. Approximately 2.5 ml of venous blood was collected and blood was used to extract RNA for gene expression profiling analysis. Data sets for differential analysis of gene expression levels between insulin-sensitive obese patients versus controls are provided in the 'obesity vs control' file. Data sets for differential analysis of gene expression levels between insulin-resistant metabolic syndrome patients versus controls are provided in the 'metabolic syndrome vs control' file.