cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22597999.v1
title: Supplementary Material for: Patient-reported outcomes of medical tattooing for capillary malformations

description: Background Patients with capillary malformations (CMs) may undergo medical tattooing (MT) as an alternative to laser therapy. But, little is known about treatment results and impact from the patients’ perspective. Objectives In this cross-sectional digital survey study, we evaluated the patient-reported outcomes of MT for CMs. Methods MT practices were identified via the Dutch Association of Skin Therapists and Google. These practices invited all their CM-patients who had undergone MT between January 2011–September 2021 to participate. Baseline and treatment characteristics, tattooing effectiveness, patient satisfaction with treatment outcomes, and complications were evaluated using a custom-made online survey. Quality of life (QoL) was assessed with the Dermatology Life Quality Index (DLQI) questionnaire. Factors associated with treatment effectiveness and patient satisfaction were identified via bivariate analysis and ordinal logistic regression analysis. Results Most of the 89 respondents were female (69%). Almost all CMs were located on the face (90%) and mainly (dark)red (74%). Nearly all patients had undergone laser therapy (91%). Median number of tattooing sessions was 5 (IQR: 4.0-8.0). Thirty-seven percent of the patients perceived &gt;75% color reduction. Younger patients were more likely to obtain lower treatment effectiveness (OR 0.44, 95%CI: 0.20–0.97). Most patients (83%) were satisfied with treatment results. Patients with lighter- (OR 0.30, 95%CI: 0.13–0.72), non-facial- (OR 0.15, 95%CI: 0.03–0.89) and hypertrophic CMs (OR 0.30, 95%CI: 0.11–0.82) were less likely to be satisfied with treatment outcomes. Patients with lighter skin types were more satisfied (OR 2.89, 95%CI: 1.23–6.80). Complications included transient pain (23%), bleeding (3.4%), hypertrophic scarring (1.1%), hypopigmentation (1.1%), and a halo around the tattoo (1.1%). Conclusion MT seems a valid alternative treatment in addition to laser therapy for CMs, with mild complications. Most patients are (very)satisfied with treatment results, while color reduction is incomplete. Hence, it seems appropriate to decide together with patients whether or not to use MT as primary treatment or secondary to laser therapy.
DOI: 10.6084/m9.figshare.22597249
title: Tables and graphs-The role of an exoskeleton simulation of senescence in health sciences education.xlsx

description: We present experimental data and results supporting the conclusions of a cross-sectional quasi-experimental comparative educational intervention study that evaluated the impact of an educational intervention, which constituted a purpose-developed senescence simulator designed for us through a quasi-experimental trial. The intervention was presented in scheduled sessions to randomly selected representative groups of students from different professional fields in the health sciences from March to June 2021 in Guadalajara, Mexico, at the University of Guadalajara, the second largest public university in the country.
DOI: 10.6084/m9.figshare.22597249.v1
title: Tables and graphs-The role of an exoskeleton simulation of senescence in health sciences education.xlsx

description: We present experimental data and results supporting the conclusions of a cross-sectional quasi-experimental comparative educational intervention study that evaluated the impact of an educational intervention, which constituted a purpose-developed senescence simulator designed for us through a quasi-experimental trial. The intervention was presented in scheduled sessions to randomly selected representative groups of students from different professional fields in the health sciences from March to June 2021 in Guadalajara, Mexico, at the University of Guadalajara, the second largest public university in the country.
DOI: 10.5281/zenodo.7823237
title: Results of RMSD, MMPBSA and PLIP

description: Input files and analysis results of RMSD, MMPBSA and PLIP from molecular dynamic trajectories.
DOI: 10.5281/zenodo.7823236
title: Results of RMSD, MMPBSA and PLIP

description: Input files and analysis results of RMSD, MMPBSA and PLIP from molecular dynamic trajectories.
DOI: 10.5281/zenodo.7824349
title: Species richness and nativity of ants (Hymenoptera: Formicidae) in urban and suburban areas of Kingston, Jamaica

description: The dataset contains the raw data for the paper on the species richness and nativity of ants in urban and suburban areas of Kingston, Jamaica.
DOI: 10.5281/zenodo.7824348
title: Species richness and nativity of ants (Hymenoptera: Formicidae) in urban and suburban areas of Kingston, Jamaica

description: The dataset contains the raw data for the paper on the species richness and nativity of ants in urban and suburban areas of Kingston, Jamaica.
DOI: 10.6084/m9.figshare.22598002.v1
title: Untitled Item

description: This is a demo data
DOI: 10.6084/m9.figshare.22598002
title: Untitled Item

description: This is a demo data
DOI: 10.25909/64375db8d602c
title: Data for: Semicircular canal shape diversity among modern lepidosaurs – Life habit, size, allometry

description: Semicircular canal landmark curves (streamlines) and R script for analysis
DOI: 10.15151/esrf-es-1057334215
title: IBS BAG

description: The IBS BAG includes in this proposal IBS teams and external groups from iRTSV/CEA (Grenoble), CEA-Cadarache (St Paul lez Durance) and IRBA (Brétigny-sur-Orge). We study structure-function relationships of proteins emphasizing in human health, biotechnology and methodology. Most of the projects are a continuation of the MX-2329 proposal and can be grouped in different topics as follows: host-pathogen interaction, new drug targets, fundamental cellular mechanisms, membrane proteins, intrinsically disordered proteins, biotechnological applications and methodology. Some of these projects use integrative approaches (X-ray crystallography, SAXS, NMR (and cryo-EM), together with other biophysical studies) with the aim to fully understand the complexity of the biological macromolecular systems on study. Some teams are dedicated to serial crystallography and its developments, for which the ESRF-EBS has become the perfect tool.
DOI: 10.15151/esrf-es-1058388282
title: PROTEINS RELATED TO PATHOGENESIS OF DISEASES, VIRAL PROTEINS, CELL DIVISION, SIGNALLING AND CHROMATIN PROCESSES

description: Our BAG is composed of eight PIs at six different institutions in Italy and Austria. We focus on a large variety of human, bacterial, viral and synthetic protein targets and address diverse biological contexts by combining structural biology with biochemistry, biophysics, cellular and in vivo investigations.
DOI: 10.15151/esrf-es-1059609217
title: The Netherlands BAG

description: The Netherlands BAG includes groups situated at five Dutch universities (Utrecht, Groningen, Amsterdam, Wageningen and Eindhoven) and at the Netherlands Cancer Institute in Amsterdam, with a total of twelve PIs. The structural biology research carried out in these groups is highly diverse, including prokaryotic and eukaryotic proteins with a strong focus on targets and processes of biomedical relevance. Central to many projects are protein receptors and their interactions with other proteins and with small molecule modulators. An additional major research area concerns structure-based protein engineering and design aiming at the characterization and engineering of new enzymes for green chemistry and new-to-nature reactions. Projects deal with membrane and soluble proteins, cell surface receptors, and protein-protein, protein-ribonucleotide, protein-drug and enzyme-ligand complexes.
DOI: 10.15151/esrf-es-1122981789
title: Structural Biology at EMBL Grenoble, IBS-CIBB and IAB

description: This proposal clusters crystallography projects at the EMBL Grenoble, IBS and IAB working on different topics with a focus on nucleic acid-protein complexes and host-pathogen interactions. The proposers have long-standing experience in the use, as well as the development of beam lines for macromolecular crystallography and have participated in successive BAG applications over the years, mostly at the ESRF but also at other synchrotrons (i.e. Soleil, Petra II, Diamond, SLS)
DOI: 10.15151/esrf-es-1053703088
title: Multi-scale Multi-techniques investigations of Li-ion batteries: towards a European Battery Hub

description: In this science-driven Long-Term proposal, we propose a 3-years multi-beamline program tackling grand challenges for actual, emerging and future battery technologies. We will deploy advanced methodologies for accelerating research by setting new cooperation modes for multi-techniques multi-scale studies. Three chemistry-neutral scientific cases have been identified to fulfil this LTP: bulk-to-surface mechanisms, high energy system and smart sensing. Multiple, time-coordinated, interoperable spectroscopic, imaging & scattering techniques will be implemented. This proposal is the Pilot Phase towards a European Battery Hub aiming at accelerating workflows in battery research by optimizing the exceptional diversity of means available at ESRF. We expect to demonstrate the added value of a new “proposal” mechanism, e.g. science-driven beamtime allocation group, serving the fast growing, highly competitive and rapidly evolving European battery community.
DOI: 10.15151/esrf-es-1160700659
title: Pore volume evolution during hot rolling of 2050 aluminium alloys : interrupted in situ multi-resolution microtomography during plain compre

description: The aim of this proposal is to track pore evolution during thermo-mechanical tests representative of hot rolling using ex situ multi-resolution micro-CT of plain compression tests of large (40x60x80mm) aluminum 2050 samples at BM05. This study is critical to link the macroscopic pore evolution, previously studied in small specimens, with the industrial hot rolling process [1,2]. Using the ability to image both the full specimen (40x60x80mm) at low-resolution (20µm/pixel) and some region of interests at high-resolution (2µm/pixel), we can track pore closure or nucleation and growth (shape, size, volume, pore density) in selected volumes of interest as a function of the strain field (triaxiality and Lode parameter). Interrupted in situ plain strain condition tests will be conducted to reproduce different hot rolling schemes (temperature, thickness reduction, strain rate) and help us refine and extend the previously proposed pore evolution laws for all the mechanical conditions.
DOI: 10.21227/9c15-qf31
title: Uncooled Infrared Image Deblurring

description: this is dataset for our paper: "Large-scale Benchmark for Uncooled Infrared Image Deblurring", submitted for IEEE SIgnal Processing Letters.the abstract for paper is :Infrared images are increasingly adopted in various applications. Therefore, motion deblurring for infrared images is also receiving growing interest. However, deep learning-based deblurring techniques for infrared images have yet to be deeply studied, since there is no publicly available dataset for training and evaluating the networks. In this letter, we introduce a large-scale dynamic motion deblurring dataset for microbolometer-based uncooled infrared detectors named Uncooled Infrared Image Deblurring (UIRD), which reflects their unique blur characteristics. The dataset is generated using a combination of a cooled infrared camera, frame interpolation, IR band conversion, and a unique blur accumulation model. Benchmark results on our dataset with state-of-the-art deep learning-based deblurring algorithms are reported, and we also show the effectiveness of our dataset by showing deblurring results on real uncooled infrared images. Our dataset is publicly released to facilitate future research in this area.
DOI: 10.5281/zenodo.7207672
title: Dataset for "Initial insight of three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles"

description: The dataset for "Initial insight of three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles" is coded as follows: 01 DOI: DOI<br> 02 article number: the accession number in Web of Science<br> 03 article title: title of the articles<br> 04 exclude: if the article was excluded from the sample, assign 1.<br> 05 research_field: the categories of research fields are described in the Appendix (Table S1)<br> 06 target_of_study: the categories of the target of studies are described in the Appendix (Table S1)<br> 29 release_location_nameofpublicarchive: the names of the deposited public archives (comma separated) The following items, if they occur, are assigned a value of 1:<br> 07 No_datause: The article did not use data<br> 08 primary_reuse: primary reuse<br> 09 primary_data_specificresarchdata: primary reuse of specific research data<br> 10 primary_data_resource: primary reuse of resource<br> 11 primary_source_self: primary reuse from self-constructed data<br> 12 primary_source_citation: primary reuse from citation<br> 13 primary_source_archive: primary reuse from an archive<br> 14 primary_source_others: primary reuse from the other source<br> 15 primary_souce_na: primary reuse source is not available<br> 16 data_integration: data integration<br> 17 integration_type_empirical: data integration as empirical type<br> 18 integration_type_Introductionmaterialresearchmethod: data integration as introduction/material/research methods type<br> 19 integration_type_combinedanalysis: data integration as introduction/material/research methods type<br> 20 integration_source_self: data integration from self-constructed data<br> 21 integration_source_citation: data integration from citation<br> 22 integration_source_archive: data integration from an archive<br> 23 integration_source_others: data integration from the other source<br> 24 integration_source_na: data integration source is not available<br> 25 dataset_release: dataset release<br> 26 release_location_publicarchive: dataset deposit to a public archive <br> 27 release_location_supporting: dataset release in Supporting Information<br> 28 release_location_onrequest: dataset release through personal contacts The appendix includes following tables:<br> Table S1. Coding schema for analysis<br> Table S2. Primary reuse by research field and reused data<br> Table S3. Primary reuse by target of study and reused data<br> Table S4. Data integration by research field and reuse type<br> Table S5. Data integration by target of study and reuse type<br> Table S6. Dataset release by research field<br> Table S7. Dataset release by target of study and methods<br> Table S8. List of names of public data archives for dataset release
description: This work was supported by JSPS KAKENHI Grant Number JP19H04423
DOI: 10.5281/zenodo.7207673
title: Dataset for "Prevalence of data reuse and dataset release in research articles: Comprehensive analysis of three modes of data sharing"

description: The dataset for "Prevalence of data reuse and dataset release in research articles: Comprehensive analysis of three modes of data sharing" is coded as follows: 01 DOI: DOI<br> 02 article number: the accession number in Web of Science<br> 03 article title: title of the articles<br> 04 exclude: if the article was excluded from the sample, assign 1.<br> 05 research_field: the categories of research fields are described in the Appendix (Table S1)<br> 06 target_of_study: the categories of the target of studies are described in the Appendix (Table S1)<br> 29 release_location_nameofpublicarchive: the names of the deposited public archives (comma separated) The following items, if they occur, are assigned a value of 1:<br> 07 No_datause: The article did not use data<br> 08 primary_reuse: primary reuse<br> 09 primary_data_specificresarchdata: primary reuse of specific research data<br> 10 primary_data_resource: primary reuse of resource<br> 11 primary_source_self: primary reuse from self-constructed data<br> 12 primary_source_citation: primary reuse from citation<br> 13 primary_source_archive: primary reuse from an archive<br> 14 primary_source_others: primary reuse from the other source<br> 15 primary_souce_na: primary reuse source is not available<br> 16 data_integration: data integration<br> 17 integration_type_empirical: data integration as empirical type<br> 18 integration_type_Introductionmaterialresearchmethod: data integration as introduction/material/research methods type<br> 19 integration_type_combinedanalysis: data integration as introduction/material/research methods type<br> 20 integration_source_self: data integration from self-constructed data<br> 21 integration_source_citation: data integration from citation<br> 22 integration_source_archive: data integration from an archive<br> 23 integration_source_others: data integration from the other source<br> 24 integration_source_na: data integration source is not available<br> 25 dataset_release: dataset release<br> 26 release_location_publicarchive: dataset deposit to a public archive <br> 27 release_location_supplement: dataset release to supplement materials <br> 28 release_location_private: dataset release through personal contacts
description: This work was supported by JSPS KAKENHI Grant Number JP19H04423
DOI: 10.5281/zenodo.7678432
title: Dataset for "Initial insight of three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles"

description: The dataset for "Initial insight of three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles" is coded as follows: 01 DOI: DOI<br> 02 article number: the accession number in Web of Science<br> 03 article title: title of the articles<br> 04 exclude: if the article was excluded from the sample, assign 1.<br> 05 research_field: the categories of research fields are described in the Appendix (Table S1)<br> 06 target_of_study: the categories of the target of studies are described in the Appendix (Table S1)<br> 29 release_location_nameofpublicarchive: the names of the deposited public archives (comma separated) The following items, if they occur, are assigned a value of 1:<br> 07 No_datause: The article did not use data<br> 08 primary_reuse: primary reuse<br> 09 primary_data_specificresarchdata: primary reuse of specific research data<br> 10 primary_data_resource: primary reuse of resource<br> 11 primary_source_self: primary reuse from self-constructed data<br> 12 primary_source_citation: primary reuse from citation<br> 13 primary_source_archive: primary reuse from an archive<br> 14 primary_source_others: primary reuse from the other source<br> 15 primary_souce_na: primary reuse source is not available<br> 16 data_integration: data integration<br> 17 integration_type_empirical: data integration as empirical type<br> 18 integration_type_Introductionmaterialresearchmethod: data integration as introduction/material/research methods type<br> 19 integration_type_combinedanalysis: data integration as introduction/material/research methods type<br> 20 integration_source_self: data integration from self-constructed data<br> 21 integration_source_citation: data integration from citation<br> 22 integration_source_archive: data integration from an archive<br> 23 integration_source_others: data integration from the other source<br> 24 integration_source_na: data integration source is not available<br> 25 dataset_release: dataset release<br> 26 release_location_publicarchive: dataset deposit to a public archive <br> 27 release_location_supplement: dataset release to supplement materials <br> 28 release_location_onrequest: dataset release through personal contacts The appendix includes following tables:<br> Table S1. Coding schema for analysis<br> Table S2. Primary reuse by research field and reused data<br> Table S3. Primary reuse by target of study and reused data<br> Table S4. Data integration by research field and reuse type<br> Table S5. Data integration by target of study and reuse type<br> Table S6. Dataset release by research field<br> Table S7. Dataset release by target of study and methods<br> Table S8. List of names of public data archives for dataset release
description: This work was supported by JSPS KAKENHI Grant Number JP19H04423
DOI: 10.5281/zenodo.7824162
title: Dataset for "Initial insight of three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles"

description: The dataset for "Initial insight of three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles" is coded as follows: 01 DOI: DOI<br> 02 article number: the accession number in Web of Science<br> 03 article title: title of the articles<br> 04 exclude: if the article was excluded from the sample, assign 1.<br> 05 research_field: the categories of research fields are described in the Appendix (Table S1)<br> 06 target_of_study: the categories of the target of studies are described in the Appendix (Table S1)<br> 29 release_location_nameofpublicarchive: the names of the deposited public archives (comma separated) The following items, if they occur, are assigned a value of 1:<br> 07 No_datause: The article did not use data<br> 08 primary_reuse: primary reuse<br> 09 primary_data_specificresarchdata: primary reuse of specific research data<br> 10 primary_data_resource: primary reuse of resource<br> 11 primary_source_self: primary reuse from self-constructed data<br> 12 primary_source_citation: primary reuse from citation<br> 13 primary_source_archive: primary reuse from an archive<br> 14 primary_source_others: primary reuse from the other source<br> 15 primary_souce_na: primary reuse source is not available<br> 16 data_integration: data integration<br> 17 integration_type_empirical: data integration as empirical type<br> 18 integration_type_Introductionmaterialresearchmethod: data integration as introduction/material/research methods type<br> 19 integration_type_combinedanalysis: data integration as introduction/material/research methods type<br> 20 integration_source_self: data integration from self-constructed data<br> 21 integration_source_citation: data integration from citation<br> 22 integration_source_archive: data integration from an archive<br> 23 integration_source_others: data integration from the other source<br> 24 integration_source_na: data integration source is not available<br> 25 dataset_release: dataset release<br> 26 release_location_publicarchive: dataset deposit to a public archive <br> 27 release_location_supporting: dataset release in Supporting Information<br> 28 release_location_onrequest: dataset release through personal contacts The appendix includes following tables:<br> Table S1. Coding schema for analysis<br> Table S2. Primary reuse by research field and reused data<br> Table S3. Primary reuse by target of study and reused data<br> Table S4. Data integration by research field and reuse type<br> Table S5. Data integration by target of study and reuse type<br> Table S6. Dataset release by research field<br> Table S7. Dataset release by target of study and methods<br> Table S8. List of names of public data archives for dataset release
description: This work was supported by JSPS KAKENHI Grant Number JP19H04423