cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24133086
title: EVATOM_Code_and_data

description: The data is an example dataset for mouse embryo viability assay presented in "<b>EVATOM: a novel embryo health assessment tool</b>." It contains three folders: <i>healthy</i>: a H/I class embryo,<i> sick:</i> a S class embryo and <i>sparse_prediction</i>: for demonstrating sparse prediction functionality on select z-slices of live embryo. Healthy and sick folders, each have two subfolders: <i>'cropped'</i>-containing LS-GLIM quantitative phase images and <i>'new'</i>-containing corresponding nucleus predictions from NPM. <i>Sparse_prediction</i> folder has select z-slices in <i>'overlapped'</i> folder with raw file needed for IBM prediction <i>'unknown.csv' </i>and IBM prediction example<i> 'check.csv'</i>.MATLAB app for demonstration of EVATOM is also provided.modelp99.pth is the trained IBMfinal_model.h5 is the trained NPMmodel_94202.mat is the trained FBMSupplementary movies are also provided.Github repository for model inference scripts is linked as related materials.
DOI: 10.6084/m9.figshare.27223023
title: Supplementary Material for: Artificial intelligence-driven skin aging simulation as a novel skin cancer prevention

description: Introduction: 
Skin cancer, a prevalent cancer type among fair-skinned patients globally, poses a relevant public health concern due to rising incidence rates. Ultraviolet (UV) radiation poses a major risk factor for skin cancer. However intentional tanning associated with sunburns remains a common practice, notably among female adults Appropriate prevention campaigns targeting children and adolescents are needed to improve sun-protection behavior particularly in these age groups. The aim of our study is to investigate if an AI-based simulation of facial skin aging can enhance sun-protection behavior in female adults.
Methods: 
In this single-center prospective observational pilot study at Department of Dermatology at the University Hospital of Basel, we took photographs of healthy young females’ faces with a VISIA‐CR camera (Canfield Scientific Inc., Parsippany, New Jersey, Version 8.2) between February to March 2021. Digital images were performed in three angles (straight, left 45°, right 45°). All participants received an AI-based simulation of their facial skin with continuous aging to 80 years. A newly created anonymous questionnaire capturing participants’ sociodemographic data and also tanning and sun-protection behavior was completed in pre- and post-aging simulation. To observe long-term effects, a 2-year follow-up was conducted between March to April 2023.
Results: 
The 60 participants (mean age 23.6±2.5 years) evaluated the importance of sun-protection significantly higher after skin aging simulation with VISIA-CR camera (p&lt;0.0001; 95%-CI:8.2-8.8). Post-intervention, 91.7% (55/60) of the females were motivated to reduce UV exposure and to intensify UV protection in the future since the individual UV-dependent risk was perceived significantly higher (p&lt;0.001; 95%-CI: 5.9-6.7). At two-year follow-up, 96% (24/25) indicated persistent effort reducing UV exposure. The preference for SPF50+ sunscreen increased to 46.7% (28/65) directly after the skin-aging simulation and continued to rise up to 60.0% (15/25) after two years.
Conclusions: 
Our data emphasize the potential of AI-assisted photo-aging interventions to enhance motivation for UV protection in the short and the long term We encourage that different age and gender groups are addressed in a personalized, generation-specific manner with the appropriate media and by considering the Hawthorne effect. Campaigns with visual AI support can improve the intent of cancer-preventative behavior.
DOI: 10.6084/m9.figshare.27684138
title: Supplementary Material for: Response to rhGH therapy in short children born at very low birth weight

description: Introduction: Although the clinical benefits of long-term rhGH therapy have been well demonstrated in children born small for gestational age (SGA), little is known about the outcomes of this therapy in children born with very low birth weight (VLBW). This study aimed to report the short and long-term response to rhGH therapy in a cohort of VLBW patients, comparing subgroups according to size, gestational age, and causal factors associated with VLBW.
Methods: We describe 33 patients born at VLBW treated with rhGH; 16 also received GnRHa. Medical records were analyzed at baseline and after one year of rhGH treatment. Data on the adult height SDS from 23 patients were also collected. Growth velocities and height SDS changes were calculated, along with the differences between the observed and predicted growth velocities.
Results: The first-year growth velocity (7.5±2.1cm/y) was aligned with prediction models for SGA children. After one year of rhGH treatment, height SDS improved from -3.0±1.1 to -2.6±1.3, with no differences among subgroups. Among patients reaching adult height, 73.9% remained short (-2.5±1.3) after long-term therapy (6.7±3.3y). The initial height SDS, height SDS change in the first year of treatment, and target height SDS were key independent predictors of height gain.
Conclusion: The response to rhGH treatment was suboptimal in the VLBW group, independent of the size, gestational age, or etiological diagnosis. However, adult height may be improved in patients receiving rhGH treatment. This underscores the need for tailored protocols and further investigations to optimize outcomes in this population.
DOI: 10.6084/m9.figshare.27684219
title: Supplementary Material for: Electrocardiographic strain and relationship with LV remodelling and clinical outcomes in patients with aortic stenosis undergoing transcatheter aortic valve implantation

description: Introduction: Left ventricular (LV) remodelling and fibrosis is known to occur in patients with aortic stenosis (AS) and is linked to post-intervention outcomes. These myocardial changes may be detected upon the routine 12-lead electrocardiogram by the presence of a LV strain pattern (LVS-ECG). Although LVS-ECG has been related to excessive cardiovascular morbidity and mortality in multiple patient populations, there is currently a dearth of data upon its impact in patients undergoing transcatheter aortic valve implantation (TAVI). The aim of the current study was to investigate the prevalence, predictors and prognostic value of LVS-ECG. Methods: Between 2012 and 2019, 640 consecutive patients underwent TAVI at Haukeland University Hospital, Bergen. Of these, 600 patients with severe AS were included in the TAVI-NOR study. Patients with known bundle branch block (n=85) or permanent pacing (n=25) were excluded, leaving 490 patients (mean age 81±6years, 52% females) eligible for the analyses. LVS-ECG was defined as down-sloping, convex ST-segment depression with asymmetric T-wave inversion in V5 or V6. Results: LVS-ECG was present in 25.7% patients. Higher levels of NT-proBNP (OR 1.96; 95% CI:1.08-3.55, p=0.028), LVEF&lt;50% (OR 3.14; 95% CI:1.61-6.13, p=0.001), increase in LV mass index per SD (32g/m2) (OR 1.37; 95 CI:1.06-1.76, p=0.014), and the presence of LV hypertrophy on ECG (OR 3.23; 95% CI:1.97-5.32, p&lt;0.001) were independent predictors of LVS-ECG in the multivariable-adjusted analysis. Although all-cause mortality was significantly higher in patients with LVS-ECG compared to those without (54.8% vs 44.2%, p=0.041), the presence of LVS-ECG did not predict all-cause mortality during a median follow-up of 64±24 months (HR 1.05; 95% CI:0.79-1.39, p=0.742). Patients with LVEF &lt;50% and concomitant LVS-ECG had a worse prognosis than those with LVEF &gt;50% and no LVS-ECG (p&lt;0.001). Conclusions: LVS-ECG may represent a simple marker of structural and functional LV remodelling that signals a propensity to excess mortality during long-term follow-up after TAVI, as it is strongly associated with other prognosticators such as reduced LVEF and increased levels of NT-proBNP.
DOI: 10.5281/zenodo.6795612
title: Dataset from Experimental and Nonlinear Finite Element Modeling Investigating an Innovative Buckling Restrained Bracing System for Rehabilitation of Seismic Deficient Structures

description: The data presented in this paper were collected experimentally and modeled using the finite element method. A total of six BRBs (i.e., duplicates of three types of BRB core bars) specimens were tested experimentally and verified numerically using the finite element method employing the commercial Software ABAQUS. Specific labeling was used to designate each BRB type. Three core bars were used in the tested BRBs: fully-threaded, threaded-notched, and smooth-shaved. The specimens are labeled according to their core bar type and diameter. i.e., BRB-12-Th stands for a full threaded core bar diameter of 12 mm, the threaded notched type was labeled BRB-12-Th-Nd, and the smooth shave one was labeled BRB-12-Sh. Further details of the tested BRBs are included in the excel file called dimensions and properties of BRBs. The worksheet provides details of the BRB components (i.e., core bar, restraining unit, and innovative end units). The dimensions and strength of the materials were obtained from coupon tests. The experimental data are presented in the second excel file labeled hysteresis with three embedded worksheets, one for each type of BRB. The excel sheets provide the cyclic loading data and plots showing the hysteresis behavior of tested BRBs. A sample of the loading protocol included in the second excel file is presented in Fig.1. The third excel file presents the analytical data extracted from experimental data that has two sheets: stiffness and energy dissipation. The sheet labeled stiffness has the secant stiffness versus deformation plot for the push-pull cycles (compression-tension). The second sheet labeled energy dissipation shows the cumulative energy dissipated.
DOI: 10.5517/cc1459sd
title: CCDC 1047793: Experimental Crystal Structure Determination

description: Related Article: Sergey V. Loginov, Victor B. Rybakov, Dmitry A. Gordeev, Igor A. Dain, Pavel A. Storozhenko|2015|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc1459tf
title: CCDC 1047794: Experimental Crystal Structure Determination

description: Related Article: Sergey V. Loginov, Victor B. Rybakov, Dmitry A. Gordeev, Igor A. Dain, Pavel A. Storozhenko|2015|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc1459vg
title: CCDC 1047795: Experimental Crystal Structure Determination

description: Related Article: Sergey V. Loginov, Victor B. Rybakov, Dmitry A. Gordeev, Igor A. Dain, Pavel A. Storozhenko|2015|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1mrscj
title: CCDC 1512408: Experimental Crystal Structure Determination

description: Related Article: Sergey V. Loginov, Victor B. Rybakov, Dmitry A. Gordeev, Igor A. Dain, Pavel A. Storozhenko|2016|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.8jerym
title: Occurrence Download

description: A dataset containing 1108169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Milvus milvus (Linnaeus, 1758)",
 "Year 2017-2024"
 ]
}

 The dataset includes 1108169 records from 1443 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016252-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0188826.10fu
title: SH0188826.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188827.10fu
title: SH0188827.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188828.10fu
title: SH0188828.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.42burz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((78.045627 19.814313, 77.970974 19.808737, 77.898174 19.792147, 77.82903399999999 19.764955, 77.765266 19.727836, 77.708448 19.68171, 77.659981 19.627719, 77.621056 19.567201, 77.592624 19.501652, 77.575374 19.43269, 77.56971799999999 19.362017, 77.575779 19.291373, 77.593395 19.222498, 77.622117 19.157084, 77.66122799999999 19.096736, 77.70975900000001 19.042934, 77.76651200000001 18.996997, 77.830094 18.960048, 77.898944 18.932991, 77.971379 18.916488, 78.045627 18.910942, 78.11987499999999 18.916488, 78.19231000000001 18.932991, 78.26116 18.960048, 78.324742 18.996997, 78.381496 19.042934, 78.430027 19.096736, 78.469138 19.157084, 78.49786 19.222498, 78.515475 19.291373, 78.521536 19.362017, 78.51588 19.43269, 78.49863000000001 19.501652, 78.470198 19.567201, 78.431273 19.627719, 78.382806 19.68171, 78.325988 19.727836, 78.262221 19.764955, 78.19307999999999 19.792147, 78.12027999999999 19.808737, 78.045627 19.814313))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001910-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh0188829.10fu
title: SH0188829.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188830.10fu
title: SH0188830.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188831.10fu
title: SH0188831.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188832.10fu
title: SH0188832.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0188833.10fu
title: SH0188833.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.