cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22360699
title: Supplementary Material for: Interleukin-33 and Soluble ST2 Levels in Infants with Hypoxic-Ischemic Encephalopathy

description: <b><i>Introduction:</i></b> Interleukin (IL)-33 and its receptor ST2L play key roles in the IL-33/ST2 signaling pathway. Soluble ST2 (sST2) inhibits the proper function of IL-33. sST2 levels are increased in patients with several neurological diseases, but in infants with hypoxic-ischemic encephalopathy (HIE), IL-33 and sST2 levels have not been studied. This study aimed to investigate whether serum levels of IL-33 and sST2 are useful as biomarkers of HIE severity and prognostic factors for infants with HIE. <b><i>Methods:</i></b> Twenty-three infants with HIE and 16 controls (gestational age ≥36 weeks and ≥1,800 g birth weight) were enrolled in this study. Serum levels of IL-33 and sST2 were measured at &lt;6 h, 1–2, 3, and 7 days of age. Hydrogen-1 magnetic resonance spectroscopy was performed, and ratios of peak integrals of lactate/N-acetylaspartate (Lac/NAA) were calculated as objective indicators of brain damage. <b><i>Results:</i></b> In the moderate and severe HIE, serum sST2 concentrations were increased and there was a good correlation between serum sST2 and HIE severity on days 1–2, whereas no variation was observed in serum IL-33. Serum sST2 levels were positively correlated with Lac/NAA ratios (Kendall’s rank correlation coefficient = 0.527, <i>p</i> = 0.024), and both sST2 and Lac/NAA ratios were significantly higher in HIE infants with neurological impairment (<i>p</i> = 0.020 and &lt;0.001, respectively). <b><i>Conclusions:</i></b> sST2 may be a useful predictor of severity and later neurological outcomes in infants with HIE. Further investigation is required to elucidate the relationship between the IL-33/ST2 axis and HIE.
DOI: 10.6084/m9.figshare.22360777
title: Supplementary Material for: Description of Phenotypic Heterogeneity in a <b><i>GJC2</i></b>-Related Family and Literature Review

description: <b><i>Introduction:</i></b> Homozygous and compound heterozygous variants in <i>GJC2</i>, the gene encoding connexin-47 protein, cause Pelizaeus-Merzbacher-like disease type 1 or hypomyelinating leukodystrophy 2 (HLD2), a severe infantile-onset hypomyelinating leukodystrophy, and rarely some milder phenotypes like hereditary spastic paraplegia (HSP) type 44 (SPG44) and subclinical leukodystrophy. Herein, we report an Iranian <i>GJC2</i>-related family with intrafamilial phenotypic heterogeneity and review the literatures. <b><i>Methods:</i></b> Whole-exome sequencing was performed for an Iranian proband, who was initially diagnosed as HSP case. Data were analyzed and the candidate variant was confirmed by PCR and Sanger sequencing subsequently checked in family members to co-segregation analysis. A careful clinical and paraclinical evaluation of all affected individuals of the family was done and compared with previous reported <i>GJC2</i>-related families. <b><i>Results:</i></b> A novel homozygous variant, c.G14T:p.Ser5Ile, in the <i>GJC2</i> gene was identified. The variant was co-segregated with the disease status in the family members. Clinical evaluation of all patients showed two distinct <i>GJC2</i>-related phenotypes in this family; the proband presented a complicated form of HSP, whereas both his affected sisters presented a HLD2 phenotype. <b><i>Discussion:</i></b> Up to now, correlation between HSP and <i>GJC2</i> variants has been reported once. Here, the second case of SPG44 was identified that emphasizes on <i>GJC2</i> as a HSP-causing gene. So, the screening of <i>GJC2</i> in patients with HSP or HSP-like phenotypes especially with hypomyelination in their brain MRI is recommended. Also, for the first time, intrafamilial phenotypic heterogeneity for “two distinct <i>GJC2</i>-related phenotypes: HLD2 and HSP” was reported. Such intrafamilial phenotypic heterogeneity for <i>GJC2</i> can emphasize on the shared pathophysiology of these disorders.
DOI: 10.6084/m9.figshare.22683268
title: Supplementary Material for: Changes in Visual Long-term Potentiation Show Preserved Cyclicity in Human Females Taking Combined Oral Contraceptives

description: Introduction: The combined oral contraceptive pill (COC) is often employed to address physical and neurological symptoms in menstrual cycle-related disorders by suppressing shifts in endogenous gonadal hormone fluctuations. Symptom persistence, especially in the lead up to the hormone free interval (HFI) suggests an underlying neurobiological mechanism of preserved cycling. Our study utilised a non-invasive method of visually inducing long-term potentiation (LTP) to index changes in neural plasticity in the absence of hormonal fluctuations. Methods: Visually induced LTP was recorded using electroencephalography in 24 healthy female COC users across three sessions; day 3 and 21 during active hormone pills, and day 24 during the HFI. The Daily Record of the Severity of Problems (DRSP) questionnaire tracked premenstrual symptoms. Dynamic causal modelling (DCM) was used to elucidate the neural connectivity and receptor activity changes associated with LTP across different days of COC. Results: Visually induced LTP was greater on day 21 than day 3 (p=0.011) and was localised to the P2 visually evoked potential. There was no effect of the HFI (day 24) on LTP. DCM of differences between day 3 and 21 showed changes to inhibitory interneuronal gating of LTP in cortical layer VI. The DRSP only showed a significant increase in symptoms in the HFI, meaning the LTP result appeared more sensitive to cyclicity. Conclusions: This study provides objective evidence of preserved cyclicity in COC users through enhanced LTP on day 21 compared to day 3 of a 28-day COC regimen, indicating that relatively higher excitation in the brain despite peripheral gonadal suppression may underlie and exacerbate menstrual cycle-related disorders.
DOI: 10.5281/zenodo.7646875
title: Foresail-2 Orbital Lifetime Analysis

description: The dataset has been created with the following inputs for DRAMAs CROC. Inputs for DRAMA Outputs for DRAMA Orbital elements CROC Inclination 15 ° F3. Randomly tumbling satellite RAAN 0 ° Average cross section for 6U 0.170 m^2 Argument of perigee 0 ° Minimum Cross Section 0.028 m^2 Drag coefficient 2.2 N/A Maximum Cross Section 0.268 m^2 SRP coefficient 1.3 N/A Orbit Predigtion Update 08.02.2023 6U CubeSat with 2 folding panel + boom Dry mass 14 kg Main body dimensions 0.11x0.34x0.25 m^3 Solar Panel X+ 0.007x0.34x0.25 m^3 Solar Panel X- 0.007x0.34x0.25 m^3 Extended boom dimensions 0.07x0.68x0.01 m^3 Magnetometer dimensions 0.05x0.05x0.05 m^3 OSCAR simulations have been conducted with orbits with apogee varying from 15000 km to 65000 km in 5000 km steps.<br> The perigee has been varied for every apogee height from 250 km to 400 km in 50 km steps.<br> Every simulation has been done for 4 different launch dates: 21.03.2025 12:00:00 Spring 21.06.2025 12:00:00 Summer 21.09.2025 12:00:00 Autumn 21.12.2025 12:00:00 Winter If not specified otherwise all settings in DRAMA have been kept to the default values.
DOI: 10.6084/m9.figshare.22794314
title: <strong>Cognition mediates response to anthropogenic noise in wild Western Australian magpies (</strong><em><strong>Gmynorhina tibicen dorsalis</strong></em><strong>)</strong>

description: Data associated with the manuscript <strong>Cognition mediates response to anthropogenic noise in wild Western Australian magpies (</strong><em><strong>Gmynorhina tibicen dorsalis</strong></em><strong>).</strong> Data from behavioural focals, playback experiments, and cognitive tests.
DOI: 10.15154/1522624
title: Examining the validity of the use of ratio IQs in psychological assessments
DOI: 10.21223/xlwlbm
title: MEC Analysis Tools

description: This Excel-based tool was developed to analyze means-end chain data. Available for downloading are 3 files: 2 Excel files used for the MEC analysis and a user guide. Download all 3 files, and read the user guide before using the MEC analysis tool. Additionally, instruction videos are available for part 1 at https://youtu.be/uz96RLX99NI and part 2 at https://youtu.be/ugFFXSob8X8
DOI: 10.25405/data.ncl.22144442.v1
title: Data used for the validation of the BIONICS research embankment hydromechanical model

description: <strong>Summary</strong> This archive contains the data used to produce a number of the figures in the linked Morsy <em>et al.</em> (2023) publication. The linked repository consists of: Deformation data used in the embankment model validation Data on the embankment foundation along with the fill density and porosity Undrained triaxial test data used for validation of the strain-softening model <em>In-situ</em> and modelled soil water retention behaviour of the embankment fill Meteorological data related to evapotranspiration Modelled and field monitored time series of slope pore water pressures and water content Modelled and monitored embankment settlement data Modelled slope surface deformations. <strong>Further Information:</strong> The research work was funded by the ACHILLES project (EPSRC programme grant EP/R034575/1). The data from the BIONICS embankment used in the model validation was also produced as part of the EPSRC funded BIONICS (GR/S87430/01) and iSMART (EP/K027050/1) projects. For more information, please visit the ACHILLES project website. Field data used in this work is available from the linked dataset in the reference section.
DOI: 10.5281/zenodo.7360136
title: Data of: Cross-sectional survey on Germans' awareness for refugees' information barriers

description: The present dataset is the result of a cross-sectional online survey, which had been conducted to examine selected predictors of Germans' problem awareness in the form of perceived information barriers that refugees face, placing an emphasis on the role of positive intercultural contact experiences. The survey content is based on an extended version of the Empathy-Attitude-Action model and was carried out with a sample of Germans. The dataset is in xlsx-format and the variable-descriptions can be found in the headings of the spreadsheet.
DOI: 10.5281/zenodo.8074022
title: Selection of Low Frequency Extensions of Saturn Kilometric Radiation detected by Cassini/RPWS.

description: Selection of Low Frequency Extensions (LFEs) of Saturn Kilometric Radiation (SKR) observed by Cassini RPWS. The catalogue of LFES are presented in TFCAT format (Time-Frequency Catalogue, https://gitlab.obspm.fr/maser/catalogues/tfcat/-/tree/master/). This work was funded by Science Foundation Ireland grant 18/FRL/6199.
DOI: 10.5281/zenodo.8216333
title: Raw data containing microsatellite genotypes and otolith microchemistry data for Lutjanus argentiventris individuals from Galapagos (Ecuador) and the Gulf of California (Mexico)

description: The dataset contains the raw microsatellite genotypes and otolith microchemistry data for yellow snapper (Lutjanus argentiventris) individuals from Galapagos (Ecuador) and the Gulf of California (Mexico), described in the journal publication: Cavole LM, Munguia-Vega A, Miller JA, Salinas-de-Leon P, Marin Jarrin JR, Johnson AF, Laplane ER, Giron-Nava A, Aburto-Oropeza O (2023) Combining otolith chemistry and genetics to infer the population structure of yellow snapper <em>Lutjanus argentiventris. </em>Ecosphere.
DOI: 10.5281/zenodo.8220588
title: Coherent nanophotonic electron accelerator - dataset

description: Dataset with electron spectra and related quantities shown in Figure 2 of Coherent Nanophotonic Electron Accelerator, Chlouba et al., Nature 2023.
DOI: 10.5281/zenodo.8314868
title: Image-based Classification of Intense Radio Bursts from Spectrograms: An Application to Saturn Kilometric Radiation

description: A catalogue of 4874 of the Low Frequency Extensions (LFEs) of Saturn Kilometric Radiation (SKR) detected by Cassini/RPWS from the beginning of 2004 until mission end in 2017. The LFEs presented in this catalogue were identified using a modified U-Net architecture that applied semantic segmentation to spectrogram images in order to extract the exact frequency-time coordinates of the LFE. The files consist of a .json file with the coordinates of each LFE in Time Frequency Catalogue (TFCat) format (Cecconi et. al. 2023). We also include a .csv file with the start and stop times of each LFE in the form of python datetime timestamps, with the average predicted probability per LFE as an accompanying column.
DOI: 10.6084/m9.figshare.21378201
title: Supplementary Material for: Modeling Low Muscle Mass Screening in Hemodialysis Patients

description: <b><i>Introduction:</i></b> Computed tomography (CT) can accurately measure muscle mass, which is necessary for diagnosing sarcopenia, even in dialysis patients. However, CT-based screening for such patients is challenging, especially considering the availability of equipment within dialysis facilities. We therefore aimed to develop a bedside prediction model for low muscle mass, defined by the psoas muscle mass index (PMI) from CT measurement. <b><i>Methods:</i></b> Hemodialysis patients (<i>n</i> = 619) who had undergone abdominal CT screening were divided into the development (<i>n</i> = 441) and validation (<i>n</i> = 178) groups. PMI was manually measured using abdominal CT images to diagnose low muscle mass by two independent investigators. The development group’s data were used to create a logistic regression model using 42 items extracted from clinical information as predictive variables; variables were selected using the stepwise method. External validity was examined using the validation group’s data, and the area under the curve (AUC), sensitivity, and specificity were calculated. <b><i>Results:</i></b> Of all subjects, 226 (37%) were diagnosed with low muscle mass using PMI. A predictive model for low muscle mass was calculated using ten variables: each grip strength, sex, height, dry weight, primary cause of end-stage renal disease, diastolic blood pressure at start of session, pre-dialysis potassium and albumin level, and dialysis water removal in a session. The development group’s adjusted AUC, sensitivity, and specificity were 0.81, 60%, and 87%, respectively. The validation group’s adjusted AUC, sensitivity, and specificity were 0.73, 64%, and 82%, respectively. <b><i>Discussion/Conclusion:</i></b> Our results facilitate skeletal muscle screening in hemodialysis patients, assisting in sarcopenia prophylaxis and intervention decisions.
DOI: 10.6084/m9.figshare.22147178
title: Supplementary Material for: Endoscopic Vacuum Therapy for Treating an Esophago-Pulmonary Fistula after Esophagectomy: A Case Report and Review of the Literature

description: An acquired esophago-respiratory fistula represents an abnormal connection between the esophagus and the respiratory system. It is usually caused by malignancy and infection, or it occurs as a complication after surgery or radiation therapy. It can be divided according to its anatomical level into esophago-tracheal fistula, esophago-bronchial fistula, and in the rarest case, esophago-pulmonary fistula (EPF). We present a case of EPF aggravating an anastomotic leak (AL) after the Ivor-Lewis operation for esophageal cancer. The leak was treated with endoscopic vacuum therapy (EVT) using the Eso-Sponge® system (B. Braun Melsungen AG, Melsungen, Germany). In the further course of treatment, an EPF was suspected by a new onset of severe cough after oral fluid intake. The suspicion was confirmed by injecting methylene blue dye into the paraesophageal-extraluminal cavity during endoscopy and attesting to its presence in the respiratory tract by simultaneous bronchoscopy. Furthermore, an oral contrast computed tomography scan showed the presence of contrast in the right lower lobe of the lung. This complication was treated conservatively with EVT and antibiotics. Nutrition was administered through the existing jejunostomy. Both fistulas and the paraesophageal cavity were fully healed, oral intake was maintained, and the patient was discharged. This rare life-threatening complication can be treated conservatively. Its management is challenging, controversial, and lacks a general consensus.
DOI: 10.6084/m9.figshare.22231555
title: Supplementary Material for: Choice of Implantable Pulse Generators for Deep Brain Stimulation: An Overview of Clinical Practice

description: <b><i>Introduction:</i></b> The success of deep brain stimulation (DBS) treatment depends on several factors, including proper patient selection, accurate electrode placement, and adequate stimulation settings. Another factor that may impact long-term satisfaction and therapy outcomes is the type of implantable pulse generator (IPG) used: rechargeable or non-rechargeable. However, there are currently no guidelines on the choice of IPG type. The present study investigates the current practices, opinions, and factors DBS clinicians consider when choosing an IPG for their patients. <b><i>Methods:</i></b> Between December 2021 and June 2022, we sent a structured questionnaire with 42 questions to DBS experts of two international, functional neurosurgery societies. The questionnaire included a rating scale where participants could rate the factors influencing their choice of IPG type and their satisfaction with certain IPG aspects. Additionally, we presented four clinical case scenarios to assess preference of choice of IPG-type in each case. <b><i>Results:</i></b> Eighty-seven participants from 30 different countries completed the questionnaire. The three most relevant factors for IPG choice were “existing social support,” “cognitive status,” and “patient age.” Most participants believed that patients valued avoiding repetitive replacement surgeries more than the burden of regularly recharging the IPG. Participants reported that they implanted the same amount of rechargeable as non-rechargeable IPGs for primary DBS insertions and 20% converted non-rechargeable to rechargeable IPGs during IPG replacements. Most participants estimated that rechargeable was the more cost-effective option. <b><i>Conclusion:</i></b> This present study shows that the decision-making of the choice of IPG is very individualized. We identified the key factors influencing the physician’s choice of IPG. Compared to patient-centric studies, clinicians may value different aspects. Therefore, clinicians should rely not only on their opinion but also counsel patients on different types of IPGs and consider the patient’s preferences. Uniform global guidelines on IPG choice may not represent regional or national differences in the healthcare systems.
DOI: 10.6084/m9.figshare.3144991
title: Data sharing policies in scholarly journals across 22 disciplines [dataset]

description: Survey period: 08 April - 08 May, 2014 Top 10 Impact Factor journals in each of 22 categories <br> Figures https://doi.org/10.6084/m9.figshare.6857273.v1 <br> Article https://doi.org/10.20651/jslis.62.1_20<br> https://doi.org/10.15068/00158168
DOI: 10.5281/zenodo.8387095
title: iCub Joint Space Self-Collision Avoidance [Data & Code]

description: These data files containg code sources for dataset creation & model learning (Joint-Space-SCA.zip) and collected synthetic dataset of free & collided postures for humanoid robot iCub (raw_binary_data.zip). Follow the Readme.MD files to launch the code if needed.
Corresponding Git repo: https://github.com/epfl-lasa/Joint-Space-SCA
DOI: 10.5281/zenodo.8387094
title: iCub Joint Space Self-Collision Avoidance [Data & Code]

description: These data files containg code sources for dataset creation & model learning (Joint-Space-SCA.zip) and collected synthetic dataset of free & collided postures for humanoid robot iCub (raw_binary_data.zip). Follow the Readme.MD files to launch the code if needed.
Corresponding Git repo: https://github.com/epfl-lasa/Joint-Space-SCA
DOI: 10.6084/m9.figshare.24494983.v1
title: Mustiscale Fractal Dimension curves of teams' tactical organzation on the pitch during football matches.

description: Football teams' tactical organization on the pitch is usually represented by the surface area. Considering the different shapes adopted by the teams during the match, the role of the tactical variability for success is lacking. The aim of this study was to explore and to evaluate the association between recurrent states of tactical organization and technical performance during football matches. A total of 28 teams of Brazilian First Division Championships were analysed. Teams' surface area shapes were represented by the maximum value of the Multiscale Fractal Dimension in each timestamp, producing a time series. The files represent the Multiscale Fractal curve in each timestamp, for each team during the first and second half.
DOI: 10.6084/m9.figshare.24494983
title: Mustiscale Fractal Dimension curves of teams' tactical organzation on the pitch during football matches.

description: Football teams' tactical organization on the pitch is usually represented by the surface area. Considering the different shapes adopted by the teams during the match, the role of the tactical variability for success is lacking. The aim of this study was to explore and to evaluate the association between recurrent states of tactical organization and technical performance during football matches. A total of 28 teams of Brazilian First Division Championships were analysed. Teams' surface area shapes were represented by the maximum value of the Multiscale Fractal Dimension in each timestamp, producing a time series. The files represent the Multiscale Fractal curve in each timestamp, for each team during the first and second half.
DOI: 10.5281/zenodo.8387164
title: Neural Joint Space Implicit Signed Distance Functions [Data & Code]

description: These data files containg code sources for dataset creation & model learning (neural-jsdf.zip) and collected synthetic dataset of free & collided postures for robotic arm Franka (sdf_3m_full_mesh.mat). Follow the Readme.MD files to launch the code if needed.


Corresponding Git repo: https://github.com/epfl-lasa/Neural-JSDF
DOI: 10.5281/zenodo.8387165
title: Neural Joint Space Implicit Signed Distance Functions [Data & Code]

description: These data files containg code sources for dataset creation & model learning (neural-jsdf.zip) and collected synthetic dataset of free & collided postures for robotic arm Franka (sdf_3m_full_mesh.mat). Follow the Readme.MD files to launch the code if needed.


Corresponding Git repo: https://github.com/epfl-lasa/Neural-JSDF
DOI: 10.6084/m9.figshare.24091888
title: What is the ecotoxicity of a given chemical for a given aquatic species? Predicting interactions between species and chemicals using recommender system techniques

description: Ecotoxicological safety assessment of chemicals requires toxicity data on multiple species, despite the general desire of minimizing animal testing. Predictive models, specifically machine learning (ML) methods, are one of the tools capable of solving this apparent contradiction as they allow to generalize toxicity patterns across chemicals and species. However, despite the availability of large public toxicity datasets, the data is highly sparse, complicating model development. The aim of this study is to provide insights into how ML can predict toxicity using a large but sparse dataset. We developed models to predict LC50-values, based on experimental LC50-data covering 2431 organic chemicals and 1506 aquatic species from the ECOTOX-database. Several well-known ML techniques were evaluated and a new ML model was developed, inspired by recommender systems. This new model involves a simple linear model that learns low-rank interactions between species and chemicals using factorization machines. We evaluated the predictive performances of the developed models based on two validation settings: 1) predicting unseen chemical-species pairs, and 2) predicting unseen chemicals. The results of this study show that ML models can accurately predict LC50-values in both validation settings. Moreover, we show that the novel factorization machine approach can match well-tuned, complex, ML approaches.