cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5893506
title: Shapiro step measurements in (BiSb)2Te3 junctions

description: Dataset and analysis code accompanying the manuscript "Fractional AC Josephson effect in a topological insulator proximitized by a self-formed superconductor," available at https://arxiv.org/abs/2110.01039. This dataset includes measurements of Josephson junction devices with (BiSb)2Te3 weak links, whose Pd-Te superconducting leads are self-formed through deposition of Pd on the (BiSb)2Te3. In junctions with the prefix "Al", an Al layer is added to the superconducting leads following Pd deposition. The dataset includes transport measurements of Shapiro steps under radiofrequency excitation as well as DC electronic transport measurements. Analysis code is provided in the accompanying iPython notebooks.
DOI: 10.5281/zenodo.8024992
title: Surface tension coefficient of acqueous glycerol from Molecular Dynamics simulations

description: The dataset contains the configuration files and the results of molecular simulations of aqueous glycerol liquid slabs. The aim of the simulations is to determine the surface tension of the interface between aqueous glycerol and its vapour. Simulations are performed with Gromacs 2021. The water model is SPC/E, while the force field for Glycerol is extrapolated from OPLS-AA according to the work by Jahn et al. (doi.org/10.1021/jp5059098). Surface tension is computed using Gromacs analysis tool by running <pre><code>gmx energy -f ener.edr</code></pre> and selecting the #Surf*SurfTen term, which returns the surface tension (bar*nm) times the number of surfaces (2, due to the system's periodicity). The surface tension is computed from the difference between interface-perpendicular and interface-parallel components of the pressure tensor (see Gromacs documentation or Frenkel and Smit <em>Understanding Molecular Simulations </em>second edition p.472). The nomenclature of the zip files indicates the mass fraction of glycerol, ranging from 0% (Glycerol000) to 100% (Glycerol100).
DOI: 10.5281/zenodo.8137854
title: Dataset for "A general purpose potential for glassy and crystalline phases of Cu-Zr alloys based on the ACE formalism"

description: This dataset was used to fit a general purpose machine learning interatomic potential for the Cu-Zr system. It supports the paper "A general purpose potential for glassy and crystalline phases of Cu-Zr alloys based on the ACE formalism".
description: This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant number RO 4542/4-1. We gratefully acknowledge computing time provided by the high performance computer Lichtenberg at the NHR Center NHR4CES at TU Darmstadt.
DOI: 10.5281/zenodo.8386622
title: Impedance spectroscopy of chiral symmetric topoelectrical circuits

description: This code reproduces our results.
DOI: 10.6084/m9.figshare.21215231
title: Interactions between Fermi polarons in monolayer WS2: MDCS Data

description: This is the data underlying the 2D spectra presented in Nature Communications <strong>13</strong>, Article number: 6164 (2022). Each sheet corresponds to the relevant figure, as indicated
DOI: 10.6084/m9.figshare.25285096
title: Data for article "Ionospheric Signatures Above Sequent Sawteeth Of Giant Undulations: Multiple Low-Earth-Orbit Satellites Observations"

description: Here is data used in article "Ionospheric Signatures Above Sequent Sawteeth Of Giant Undulations: Multiple Low-Earth-Orbit Satellites Observations".
DOI: 10.6084/m9.figshare.26170117
title: GDGT data for HGY

description: GDGT data for HGY
DOI: 10.6084/m9.figshare.27220764
title: Data_Packmor_et_al._2024_PRSB.pdf

description: This files contains all data used in the analyses of Packmor et al. 2024 "Migratory birds can extract positional information from magnetic inclination and magnetic declination alone" (https://doi.org/10.1098/rspb.2024.1363).A detailed description of the methods and the statistical analyses can be found in the original article.
DOI: 10.6084/m9.figshare.27240810
title: Supplementary Material for: Intravenous dextrose for the treatment of neonatal hypoglycaemia: a systematic review

description: Introduction: Hypoglycaemic neonates are usually admitted to neonatal intensive care for intravenous (IV) dextrose infusion if increased feeding and dextrose gel fail to restore normoglycaemia. However, the effectiveness of this intervention is uncertain. This review aimed to assess the evidence for the risks and benefits of IV dextrose for treatment of neonatal hypoglycaemia. 
Methods: Four databases and three clinical trial registries were searched from inception to 5th October 2023. Randomised controlled trials (RCTs), non-randomised studies of interventions, cohort studies, and before and after studies were considered for inclusion without language or publication date restrictions. Risk of bias was assessed using Cochrane’s Risk of Bias 2 tool or Risk of Bias in Non-Randomized Studies of Interventions tool. Certainty of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation approach. Meta-analysis was planned but not carried out due to insufficient data. 
Results: Across 6 studies (two RCTs and four cohort), 711 participants were included. Evidence from one cohort study suggests IV dextrose treatment may not be associated with neurodevelopmental impairment at ≥ 18 months of age (no effect numbers, p &gt; 0.2; very low certainty evidence; 60 infants). Evidence from one RCT suggests IV dextrose treatment may reduce the likelihood of repeated hypoglycaemia (RR 0.67 (95% CI 0.20, 2.18), p = 0.5; low certainty evidence; 80 infants) compared to treatment with oral sucrose bolus. However, the risk of a hyperglycaemic episode may be increased (RR 2.33 (95% CI 0.65, 8.39), p = 0.19; 80 infants). 
Conclusion: More evidence is needed to clarify the benefits and risks of IV dextrose for treatment of neonatal hypoglycaemia.
DOI: 10.6084/m9.figshare.27683487
title: Supplementary Material for: Prevalence of Undernutrition and Its Contributing Factors Among Cancer Patients in Africa – A Systematic Review and Meta-Analysis of Observational Studies

description: Introduction: Cancer poses a significant burden in Africa, where limited resources and infrastructure compound the challenges of managing the disease. Undernutrition, a critical concern among cancer patients, can profoundly affect treatment outcomes and overall prognosis. Despite its importance, the prevalence of undernutrition among African cancer patients remains poorly understood.
Methods: Five major databases were searched for observational studies that reported the prevalence of undernutrition, from inception till February 2024. Study selection, data extraction, and quality assessment were conducted by at least two independent reviewers. The NIH criteria for observational studies were used for quality assessment. A random-effects meta-analysis model was used to estimate the overall undernutrition prevalence, with subgroup analyses conducted based on country and population characteristics.
Results: Twenty-four studies involving 4,283 participants met the inclusion criteria, most studies included children (41%), followed by adults (37%), and women (19%). The overall undernutrition prevalence among African cancer patients was estimated at 32.8% (95% CI, 25.1%, 41.67%) with substantial heterogeneity observed (I² = 95.4%, P &lt; 0.0001). Subgroup analyses revealed significant variations in prevalence across countries and population groups. 
Conclusion: Undernutrition is a serious issue among African cancer patients and requires an urgent response with targeted interventions. Tailored nutritional support strategies, considering demographic and regional contexts, are essential for improving patient outcomes.
DOI: 10.6084/m9.figshare.27684156
title: Supplementary Material for: Evaluating the causal association between circulating plasma proteins, 731 immune cell phenotypes, and atopic dermatitis: A mediation Mendelian randomization study

description: Introduction: Atopic dermatitis (AD) is a chronic inflammatory skin disease characterized by eczematous lesions and severe itching. However, its pathogenesis has not yet been fully elucidated. The aim of this study was to investigate the causal relationship between plasma proteins and AD, as well as to identify and quantify the potential roles of immune cell phenotypes as mediators.
Methods: We utilized summary-level data from genome-wide association studies and conducted a two-sample Mendelian randomization (MR) analysis involving 4907 circulating plasma proteins, 731 immune cell phenotypes, and AD. Initially, we conducted bidirectional univariate MR analyses to forecast causal effects linking circulating plasma proteins and AD. Subsequently, we employed a two-step MR analysis to scrutinize the immune cell phenotypes that could mediate these effects. The inverse variance weighted was the main method employed for MR analysis, while the Cochran’s Q test and MR-Egger intercept test were used to assess the presence of heterogeneity and pleiotropy, respectively. We then determined whether our results could be inﬂuenced by individual single-nucleotide polymorphisms using the “leave-one-out” test.
Results: Positive correlations were observed between KRT1, IL18R1, and SEMA6A and the risk of AD, whereas BDH2, ADAMTS3, ANKRD1, TIAM1, MID2, and IFNA16 all showed negative correlations with the risk of AD. Mediation analysis indicated that CD8 on CM CD8br cells acted as a mediator between IFNA16 and AD, with a mediation effect proportion of 11.2%. In addition, sensitivity analyses did not reveal significant heterogeneity or level pleiotropy.
Conclusion: Our ﬁndings indicated the presence of a one-way causal relationship between the circulating plasma protein IFNA16 and AD. This study also explored immune cell phenotypes that may serve as mediators, offering novel insights into the etiology, pathogenesis, and potential clinical interventions in AD. Nevertheless, these ﬁndings need to be validated by clinical and laboratory studies.
DOI: 10.6084/m9.figshare.27684690
title: Supplementary Material for: Safety of Oral Food Challenges for Individuals with Low Levels of Cow’s Milk-Specific Immunoglobulin E Antibodies

description: Introduction:
Cow’s milk (CM) is one of the most common food allergens in Japan. The oral food challenge (OFC) of CM is important for the definite diagnosis of children with CM allergy and it is recommended to be actively and safely performed in individuals with low CM-sIgE levels. This study aimed to investigate the safety of low-dose CM-OFC in individuals with low CM-sIgE levels and discuss the prognostic factors and appropriate approaches for assessing the starting doses of CM-OFC in these individuals. 

Methods:
We retrospectively analyzed 6,929 OFC tests conducted between January 1, 2017 and December 31, 2021; of which, 1,390 were CM-OFC tests. The characteristics, OFC-positive rates, CM loading, and related factors were analyzed in 138 cases involving low CM-sIgE levels. Stepwise OFC tests were conducted according to the FA guidelines in Japan using an open and unblinded method. 

Results:
Among 138 individuals with low CM-sIgE levels, 110 (79.7%) passed the OFC test without any symptoms. Among the cases with OFC-positive status, 50.0% (14/28) cases showed symptoms with low-dose OFC (30–105 mg CM protein). Moreover, complete CM elimination was associated with a significantly high OFC-positive rate, and 60.0% (12/20) of the cases involving complete CM elimination showed symptoms with low-dose OFC. 

Conclusion:
Eighty percent of the patients with low CM-sIgE levels safely completed the OFC test. Nevertheless, careful observation is essential during low-dose OFC test in cases with low CM-sIgE levels, especially in the cases with complete elimination. The starting dose of the OFC test should be re-evaluated and modified using baked milk or a lower dose of CM to ensure safety and early outgrowth of CM allergy.
DOI: 10.6103/share.w8cabeta.001
title: Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 8. COVID-19 Survey 1
DOI: 10.15128/r2qn59q403m
title: Depth-dependent magnetic crossover in a room-temperature skyrmion-hosting multilayer [dataset]

description: Skyrmion-hosting multilayer stacks are promising avenues for applications, although little is known about the depth dependence of the magnetism. We address this by reporting the results of circular dichroic resonant elastic x-ray scattering (CD-REXS), micromagnetic simulations, and low-energy muon-spin rotation (LE-μ+SR) measurements on a stack comprising [Ta/CoFeB/MgO]16/Ta on a Si substrate. Energy-dependent CD-REXS shows a continuous, monotonic evolution of the domain-wall helicity angle with incident energy, consistent with a three-dimensional hybrid domain-wall-like structure that changes from Néel-like near the surface to Bloch-like deeper within the sample. LE-μ+SR reveals that the magnetic field distribution in the trilayers near the surface of the stack is distinct from that in trilayers deeper within the sample. Our micromagnetic simulations support a quantitative analysis of the μ+SR results. By increasing the applied magnetic field, we find a reduction in the volume occupied by domain walls at all depths, consistent with a crossover into a region dominated by skyrmions above approximately 180 mT.
DOI: 10.17632/9hs9mtxhh4.1
title: NHM-Chem simulation data used for an air quality study in North India

description: NHM-Chem simulation data used for an air quality study in North India. This is a open dataset for a manuscript which is going to be submitted.
DOI: 10.17909/faz3-2616
title: The Ancient Star Formation History of the Extremely Low-Mass Galaxy Leo P: An Emerging Trend of a Post-Reionization Pause in Star Formation
DOI: 10.25346/s6/yo15on
title: [Data] Global Atmospheric Rivers Database, Version 3

description: [Data] Tracking Atmospheric Rivers Globally as Elongated Targets (tARget), Version 3
DOI: 10.25430/researchdata.cab.unipd.it.00001361
title: Data for publication "Nanometer-Scale Acoustic Wave Packets Generated by Stochastic Core-Level Photoionization Events"

description: Data for publication "Nanometer-Scale Acoustic Wave Packets Generated by Stochastic Core-Level Photoionization Events", including raw data, processed data, and Python codes for processing. All plots presented in the publication should be reproducible with this repository.
DOI: 10.4121/4603f510-007a-4354-b40c-8ab4eaca07cf.v1
title: Dataset underlying the publication: From hydrodynamics to dipolar colloids: modeling complex interactions and self-organization with generalized potentials

description: This data set contains all the data to reproduce the results presented in the manuscript titled 'From hydrodynamics to dipolar colloids: modeling complex interactions and self-organization with generalized potentials'.<br>All data processing is done in Jupyter-Lab.<br><em>FigureX.ipynb</em> uses the preprocessed data and functions to generate Figure X from the original manuscript.<br>See the file <em>README.txt</em> for more information about data structure and processing.
DOI: 10.5281/zenodo.10053241
title: Organic electrochemical transistor aptasensor for interleukin-6 detection

description: Explanation of included data for following publication:
-------------------------------------------------------------------------------------
Organic electrochemical transistor aptasensor for interleukin-6 detection
Chiara Diacci (1,2), Bernhard Burtscher (1), Marcello Berto (2), Tero Petri Ruoko (1), Samuel Lienemann (1), Pierpaolo Greco (3,4), Magnus Berggren (1), Marco Borsari (5), Daniel T. Simon (1), Carlo A. Bortolotti (2), Fabio Biscarini (2,4)
 
1) Laboratory of Organic Electronics, Department of Science and Technology, ITN, Linköping University, 601 74, Norrköping, Sweden.
2) Dipartimento di Scienze della Vita, Università di Modena e Reggio Emilia, via Campi 103, 41125 Modena, Italy.
3) Department of Neuroscience and Rehabilitation, Università di Ferrara, Via  Borsari 46, 44121 Ferrara, Italy.
4) Center for Translational Neurophysiology of Speech and Communication, Istituto Italiano di Tecnologia, via Fossato di Mortara 17-193, 44100 Ferrara, Italy.
5) Dipartimento di Scienze Chimiche e Geologiche, Università di Modena e Reggio Emilia, via Campi 103, 41125 Modena, Italy.
-------------------------------------------------------------------------------------
Manuscript
 
Figure 2:

SEM pictures
 
Figure 3:

CV for aptamer deposition (Time, Voltage, Current) in 1µM aptamer solution from 0V to -1V, 50mV/s for 30 cycles
Impedance data for AuNP/PEDOT:PSS electrode (before aptamer deposition) and after aptamer deposition (Aptamer/AuNP/PEDOT:PSS); (Freq/Hz, Re(Z)/Ohm, -Im(Z)/Ohm, |Z|/Ohm, Phase/deg) in ferricyanide 5mM
 
Figure 4: Fluorescent images (LSM, as czi format) for

4a: AuNP/PEDOT:PSS (no Cy3-tag, control)
4b: Cy3-aptamer/AuNP/PEDOT:PSS (sample)
4c: Cy3-aptamer/PEDOT:PSS (no AuNP, control)
 
Figure 5: Data sets of transfer curves for multiple OECTs for various concentrations of IL6/TNF

One sheet refers to one OECT sample with either IL6 or TNF
The first coloumn indicates the gate voltage and the others the drain current with various concentration except the second column (Tween) with is without any analyte
VDS = -0.3V
VGS swept from 0 to 0.6V
 
 
 
Supporting Information:
 
Figure S1: AuNP/PEDOT:PSS electrical characteristics

S1a: CV in 5mM ferricyanide from -0.5V to 0.5V at 50mV/s
S1b: Transconductance for bare Au, PEDOT:PSS in PBS 10mM
S1c: Transfer curves in PBS 10mM
 
Figure S2: FTIR-ATR measurements

Raw exported files from the FTIR (Au+PEDOT, Au+DNA, Au+PEDOT+NP, Au+PEDOT+NP+DNA) as txt file.
For Au+DNA the normalized with the maximum and for the others the 1010cm-1 peak used for normalization. This is shown in the ATR.xlsx file.
 
Figure S3: IL6 detection on AuNP/PEDOT:PSS gate

Transfer Charasteristics of the AuNP/PEDOT:PSS electrode with increasing IL6 concentration with VDS=-0.3V and VGS from 0V to 0.6V
 
Figure S4: Transconductance of OECT based aptasensor

Datasets used for S4 are identical with the ones from Figure 5
 
Figure S5: Impedance of functionalized device with IL6

Each sheet is for a IL6 concentration. The normalized OECT concentration is the same as in Figure 5.
DOI: 10.5281/zenodo.10143337
title: Data Release for "Revisiting the evidence for precession in GW200129 with machine learning noise mitigation"

description: Cleaned gravitational-wave data frame for the Livingston interferometer around GW200129 using NLSub, a machine-learning algorithm. For more details, see the publication on ArXiv: https://arxiv.org/abs/2311.09921.
The data frame can be loaded in Python using e.g. GWPy TimeSeries class:

from gwpy.timeseries import TimeSeriestseries = TimeSeries.read('L-L1_DCS-CALIB_STRAIN_CLEAN_C01_NLSUB_P2300358_v4-1264314077-4078.hdf5')
DOI: 10.5281/zenodo.10203435
title: Low hygroscopicity of newly-formed particles on the North China Plain and its implications for nanoparticle growth
DOI: 10.5281/zenodo.10212998
title: Data repository accompanying "Flux-tunable Josephson Effect in a Four-Terminal Junction"
DOI: 10.5281/zenodo.10650313
title: Fluctuating landscapes and heavy tails in animal behavior

description: Data for reproducing the results presented in

Costa AC, Vergassola M (2023) "Fluctuating landscapes and heavy tails in animal behavior". https://arxiv.org/abs/2301.01111

Check the accompanying github repository: https://github.com/AntonioCCosta/fluctuating_potential/
DOI: 10.5281/zenodo.11084025
title: Unified Relativistic Mean Field EoSs with density dependent couplings

description: This dataset, containing 447345 equations of state, was used or the Bayesian analysis on the properties of Neutron Stars in [1]. Each EoS includes an outer crust, an inner crust and a core.The outer crust used for all the EoSs is the BsK22[2], while each pair of inner crust and core was calculatedusing the same Relativistic Mean Field model and a Compressible Liquid Drop approximation for the clusters in the inner crust. The crust-core transition is determined for each model by the crossingof the energy density of crust and core.

[1] L. Scurto, H. Pais and F. Gulminelli, arXiv:2402.15548 (2024)[2] J.M. Pearson, N. Chamel, A.Y. Potekhin, A.F. Fantina, C. Ducoin, A.K. Dutta, and S. Goriely, MNRAS 481, 2994 (2018)
description: L.S. acknowledges the PhD grant 2021.08779.BD (FCT, Portugal) with DOI identifier 10.54499/2021.08779.BD. Partial support from the IN2P3 Master Project NewMAC and the ANR project GWsNS, contract ANR-22-CE31-0001-01 is also acknowledged.This work was also partially supported by national funds from FCT (Fundação para a Ciência e a Tecnologia, I.P, Portugal) under projects UIDB/04564/2020 and UIDP/04564/2020, with DOI identifiers 10.54499/UIDB/04564/2020 and 10.54499/UIDP/04564/2020, respectively, and the project 2022.06460.PTDC with the associated DOI identifier 10.54499/2022.06460.PTDC. HP acknowledges the grant 2022.03966.CEECIND (FCT, Portugal) with DOI identifier 10.54499/2022.03966.CEECIND/CP1714/CT0004.
DOI: 10.5281/zenodo.13354581
title: SModelS database v3.0.0

description: This is the pickled SModelS database v3.0.0, without fastlim, non-aggregated, superseded results, and no full versions of pyhf likelihoods (only trimmed down ones). This is the database that is used when specifying "official" for the database path, in SModelS 3.0.x. More explicitly, it corresponds to the "https://smodels.github.io/database/official300" path.

The text version of this (binary) database can be accessed on github.

This work was partly funded by ANR-21-CE31-0023 and FWF I 5767 47045.
DOI: 10.5281/zenodo.13772981
title: Dataset and models from: Covariant Jacobi-Legendre expansion for total energy calculations within the projector-augmented-wave formalism

description: Scripts, related code, files, and dataset for the paper: Covariant Jacobi-Legendre expansion for total energy calculations within the projector-augmented-wave formalism.
description: Paper abstract: Machine-learning models can be trained to predict the converged electron charge density of a density functional theory (DFT) calculation. In general, the value of the density at a given point in space is invariant under global translations and rotations having that point as a centre. Hence, one can construct locally invariant machine-learning density predictors. However, the widely used projector augmented wave (PAW) implementation of DFT requires the evaluation of the one-center augmentation contributions, that are not rotationally invariant. Building on our recently proposed Jacobi-Legendre charge-density scheme, we construct a covariant Jacobi-Legendre model capable of predicting the local occupancies needed to compose the augmentation charge density. Our formalism is then applied to the prediction of the energy barrier for the 1H-to-1T phase transition of two-dimensional MoS2. With extremely modest training, the model is capable of performing a non-self-consistent nudged elastic band calculation at virtually the same accuracy as a fully DFT-converged one, thus saving thousands of self-consistent DFT steps. Furthermore, at variance with machine-learning force fields, the charge density is here available for any nudged elastic band image, so that we can trace the evolution of the electronic structure across the phase transition.