cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gkcrmpn76v.1
title: Data for Inverse Design of Hierarchically Wrinkled Microstructures Using Machine Learning

description: This dataset presents the raw and pre-processed data that were used to train the machine learning (ML) models for regression analysis of hierarchical wrinkling. Hierarchical wrinkling is a physical phenomenon wherein complex 3D sinusoidal structures are generated upon compression of a pre-patterned bilayer. It is further described in this article: “S.K. Saha and M.L. Culpepper, Deterministic Switching of Hierarchy during Wrinkling in Quasi‐Planar Bilayers. Advanced Engineering Materials, 2016. 18(6): p. 938-943.” This specific dataset refers to the case wherein a two-period hierarchical wrinkle is formed upon compression of a bilayer which is pre-patterned with a single-period sinusoidal pattern. The outputs collectively represent the shape of the hierarchical wrinkles whereas the inputs represent the parameters that can be varied in the physical bilayer systems.
 
Each datapoint comprises a set of four inputs (i.e., attributes) and six outputs (i.e., targets) corresponding to these inputs. The inputs are: applied compressive strain (ε), amplitude of pre-pattern (Ap), normalized period of pre-pattern (λp/λn), and natural period (λn). The outputs are: amplitude of 1st mode (A1), amplitude of 2nd mode (A2), normalized period of 1st mode (λ1/λn), normalized period of 2nd mode (λ2/λn), phase angle of 1st mode (φ1/π), and phase angle of 2nd mode (φ2/π). The raw data refers to the data generated from finite element simulations of wrinkling as-is without any modifications. The pre-processed data was obtained from the raw data by: (i) converting all values of λ2/λn and φ2 to NaN for those cases where A2 ≤ 10 nm and (ii) rounding off φ2/π to the 2nd decimal place. The ML models were trained on the pre-processed data. The attribute λn was not used for training of the ML models.  	

The shape of the hierarchical wrinkle (i.e., Y vs X profile) is given by: Y=A1  cos⁡(2πX/λ1 + φ1 ) + A2 cos⁡(2πX/λ2 + φ2 )
DOI: 10.17632/rpt4m4hd2b.1
title: Effects of aerobic, resistance and combined training on endothelial function and arterial stiffness in older adults: study protocol for a systematic review and meta-analysis

description: This database contains 6 excel sheets with data used to generate the meta-analysis in RStudio

Each worksheet describes data subtracted from studies that evaluated different training modalities (aerobic, resistance and combined) on endothelial function assessed by FMD and arterial stiffness assessed by WPV
DOI: 10.17632/2tcgdjn7ct.1
title: Link Lubinus SPII

description: Link Lubinus SPII
DOI: 10.17632/yhtssbgsg9.1
title: LMS adoption intention in Covid-19 pandemic: Data from Vietnam

description: Data was collected from 876 students who used a learning management system (LMS) in their educational activities at Vietnam's higher education institutions. Research constructs are measured using 14 items that have been inherited from prior studies and altered to meet the Vietnam context.
DOI: 10.17632/9t78p6h9hc.2
title: PNAS_Nanosized and Metastable Molybdenum Oxides as Negative Electrode Materials for Durable High-energy Aqueous Li-ion Batteries

description: Data for public access
DOI: 10.17632/rz9mktk3wg.1
title: Second or double wave COVID-19 in Russia?

description: Second or double wave COVID-19 in Russia? Review of the features of dynamics COVID-19 in Russia
DOI: 10.25721/t7vf-tz59
title: Garçon qui fait l'amour
DOI: 10.6084/m9.figshare.17004752
title: MATLAB code from Efficient computational modelling of smooth muscle orientation and function in the aorta

description: Understanding the mechanical effects of smooth muscle cell (SMC) contraction on the initiation and the propagation of cardiovascular diseases such as aortic dissection is critical. Framed by elastic lamellar sheets in the lamellar unit, there are SMCs in the media with a distinct radial tilt, which indicates their contribution to the radial strength. However, the mechanical effects of this type of anisotropy have not been fully discussed. Therefore, in this study, we propose a constitutive framework that models the passive and active mechanics of the aorta, taking into account the dispersed nature of the aortic constituents by applying the discrete fibre dispersion method. We suggest an isoparametric approach by evaluating various numerical integration methods and introducing a non-uniform discretization of the unit hemisphere to increase its computational efficiency. Finally, the constitutive parameters are fitted to layer-specific experimental data and initial computational results are briefly presented. The radial tilt of SMCs is also analysed, which has a noticeable influence on the mechanical behaviour of the aorta. In the absence of sufficient experimental data, the results indicate that the active contribution of SMCs has a remarkable impact on the mechanics of the healthy aorta.
DOI: 10.6084/m9.figshare.17004752.v1
title: MATLAB code from Efficient computational modelling of smooth muscle orientation and function in the aorta

description: Understanding the mechanical effects of smooth muscle cell (SMC) contraction on the initiation and the propagation of cardiovascular diseases such as aortic dissection is critical. Framed by elastic lamellar sheets in the lamellar unit, there are SMCs in the media with a distinct radial tilt, which indicates their contribution to the radial strength. However, the mechanical effects of this type of anisotropy have not been fully discussed. Therefore, in this study, we propose a constitutive framework that models the passive and active mechanics of the aorta, taking into account the dispersed nature of the aortic constituents by applying the discrete fibre dispersion method. We suggest an isoparametric approach by evaluating various numerical integration methods and introducing a non-uniform discretization of the unit hemisphere to increase its computational efficiency. Finally, the constitutive parameters are fitted to layer-specific experimental data and initial computational results are briefly presented. The radial tilt of SMCs is also analysed, which has a noticeable influence on the mechanical behaviour of the aorta. In the absence of sufficient experimental data, the results indicate that the active contribution of SMCs has a remarkable impact on the mechanics of the healthy aorta.
DOI: 10.17632/7kdw9skn7h.3
title: Supplemental data and parameters of the dolomite layer @Lake Sayram

description: This supplementary material contains two pieces of text (Text S1 to S2), nine supplementary figures (Figure S1 to S9), and five tables (Table S1 to S5).. Four figures in the article are also uploaded.
DOI: 10.17632/h6fj4w9fht.3
title: Mineralogy and geochemistry of modern Red River sediments: provenance and weathering implications-data

description: This data store is only for submission to Marine Geology.
DOI: 10.17632/cc8bb3bthw.1
title: Long non-coding RNA MIAT is involved in the regulation of pyroptosis  in diabetic cardiomyopathy via targeting miR-214-3p

description: Whole original western blot image
DOI: 10.17632/w8wzvfzdbg.1
title: Maternal Occupational Exposures and Adverse Pregnancy Outcomes among Nurses

description: an investigation data of maternal occupational exposures and adverse pregnancy outcomes among Chinese nurses
DOI: 10.17632/279gfp9y3n.1
title: Supplemental table ES-indicators

description: EFFECT OF EARLY LACTATION ENERGY STATUS ON FERTILITY
DOI: 10.17632/n5gcbkjrpg.2
title: HunConCourt database

description: The dataset analyses the jurisprudence of the Hungarian Constitutional Court, covering the period between 2005 and 2017. It includes 1093 rulings of 386 decisions of the Court.  We have collected data about more than 30 aspects of each ruling, including the petitioners, the competencies of the Court, the subject matter of the ruling, the disposition of the case and the voting pattern of the judges. These aspects are listed and explained in more detail in the codebook. 

The file ‘Rulings’ contains all the data of the searchable database. (http://www.hunconcourtdatabase.hu/site/database) Each row of the data file contains information about a ruling of the Court, including the votes of the judges. The variables and the possible values of these variables, except for the list of subject matters, are listed and explained in our codebook.

The Codebook does not contain the list of constitutional subject matters. This list can be found in the ‘SubjectMatter’ file. We used a nested typology of constitutional subject matters that has two or three levels. This file helps the users of the database to understand how the subject matter of a ruling can be located in the matrix of constitutional concepts. The file also cross-references constitutional subject matters and the provisions of the Constitution/Fundamental Law by identifying the constitutional provisions that belong to a certain subject matter. Finally, the file lists the IDs of all rulings that are about the same subject matter.

The file ‘ConstitutionalProvisions’ lists the title of each constitutional provision. The capital letters of these values refer to the 1949 Constitution (CON) or the 2011 Fundamental Law (FL), followed by the number and/or letter of the provision. To help researchers, we also added the English text of the provision. In addition, the file cross-references constitutional provisions and subject matters and identifies each subject matter that belongs to a certain constitutional provision. The file also lists the IDs of all rulings that relate to a provision of the Constitution/Fundamental Law.

The file ‘Judges’ contains information about each judge, including their professional background and field of expertise. The file also lists the IDs of all rulings where the judge was involved in the decision-making process, acted as rapporteur or wrote or joined a separate opinion.
DOI: 10.17632/gxcdg3z7t6.2
title: MAELAS 2.0: A new version of a computer program for the calculation of magneto-elastic properties

description: MAELAS is a computer program for the calculation of magnetocrystalline anisotropy energy, anisotropic magnetostrictive coefficients and magnetoelastic constants in an automated way. The method originally implemented in version 1.0 of MAELAS was based on the length optimization of the unit cell, proposed by Wu and Freeman, to calculate the anisotropic magnetostrictive coefficients. We present here a revised and updated version (v2.0) of MAELAS, where we added a new methodology to compute anisotropic magnetoelastic constants from a linear fitting of the energy versus applied strain. We analyze and compare the accuracy of both methods showing that the new approach is more reliable and robust than the one implemented in version 1.0, especially for non-cubic crystal symmetries. This analysis also helps us find that the accuracy of the method implemented in version 1.0 could be improved by using deformation gradients derived from the equilibrium magnetoelastic strain tensor, as well as potential future alternative methods like the strain optimization method. Additionally, we clarify the role of the demagnetized state in the fractional change in length, and derive the expression for saturation magnetostriction for polycrystals with trigonal, tetragonal and orthorhombic crystal symmetry. In this new version, we also fix some issues related to trigonal crystal symmetry found in version 1.0.
DOI: 10.17632/zdbdg4n38m.1
title: Social media and visuomotor skill in high-level volleyball players

description: Data about repeated effect of social media use immediately prior training sessions throughout two-weeks on visuomotor skills in high-level volleyball players.
DOI: 10.17632/pph3mdbrw7.1
title: Data from CELL-REPORTS_D-21-00453R1: Evolutionary loss of inflammasomes in the Carnivora and implications for the carriage of zoonotic infections

description: All source data supporting  CELL-REPORTS_D-21-00453R1 entitled "Evolutionary loss of inflammasomes in the Carnivora and implications for the carriage of zoonotic infections".
DOI: 10.17632/wvgr7d8yt9.2
title: PArthENoPE revolutions

description: This paper presents the main features of a new and updated version of the program PArthENoPE, which the community has been using for many years for computing the abundances of light elements produced during Big Bang Nucleosynthesis. This is the third release of the PArthENoPE code, after the 2008 and the 2018 ones, and will be distributed from the code's website, http://parthenope.na.infn.it. Apart from minor changes, the main improvements in this new version include a revisited implementation of the nuclear rates for the most important reactions of deuterium destruction, 2H(p,γ)^3 He, 2H(d, n)^3 He and 2H(d, p)^3 H, and a re-designed GUI, which extends the functionality of the previous one. The new GUI, in particular, supersedes the previous tools for running over grids of parameters with a better management of parallel runs, and it offers a brand-new set of functions for plotting the results.
DOI: 10.17632/5hwssmc2mx.1
title: UnDiFi-2D: An unstructured discontinuity fitting code for 2D grids

description: UnDiFi-2D, an open source (free software) Unstructured-grid, Discontinuity Fitting code, is presented. The aim of UnDiFi-2D is to model gas-dynamic discontinuities in two-dimensional (2D) flows as if they were true discontinuities of null thickness that bound regions of the flow-field where a smooth solution to the governing PDEs exists. UnDiFi-2D therefore needs to be coupled with an unstructured CFD solver that is used to discretize the governing PDEs within the smooth regions of the flow-field. Two different, in-house developed, CFD solvers are also included in the current distribution.

The main features of the UnDiFi-2D software can be summarized as follows:

Programming language
UnDiFi-2D is written in standard Fortran 77/95; its design is highly modular in order to enhance simplicity of use, maintenance and allow coupling with virtually any existing CFD solver;

Usability, maintenance and enhancement
In order to improve the usability, maintenance and enhancement of the code also the documentation has been carefully taken into account. The git distributed versioning system has been adopted to facilitate collaborative maintenance and code development;

Copyrights
UnDiFi-2D is a free software that anyone can use, copy, distribute, change and improve under the GNU Public License version 3.

The present paper is a manifesto of the first public release of the UnDiFi-2D code. It describes the currently implemented features, which are the result of more than a decade of still ongoing CFD developments. This work is focused on the computational techniques adopted and a detailed description of the main characteristics is reported. UnDiFi-2D capabilities are demonstrated by means of examples test cases. The design of the code allows to easily include existing CFD codes and is aimed at ease code reuse and readability.
DOI: 10.17632/88y3nffs82.2
title: Impacts of the Covid-19 Pandemic on Life of Higher Education Students: Global Survey Dataset from the First Wave

description: The Covid-19 pandemic caused by the novel coronavirus SARS-CoV-2 has completely reshaped the lives of people around the world, including higher
education students. Beyond serious health consequences for a proportion of those directly affected by the virus, the pandemic holds important
implications for the life and work of higher education students, considerably affecting their physical and mental well-being. To capture how
students perceived the first wave of the pandemic’s impact, one of the most comprehensive and large-scale online surveys across the world was
conducted. Carried out between 5 May 2020 and 15 June 2020, the survey came at a time when most countries were experiencing the arduous lockdown
restrictions. The online questionnaire was prepared in seven different languages (English, Italian, North Macedonian, Portuguese, Romanian, 
Spanish, Turkish) and covered various aspects of higher education students’ life, including socio-demographic and academic characteristics, 
academic life, infrastructure and skills for studying from home, social life, emotional life and life circumstances. Using the convenience 
sampling method, the online questionnaire was distributed to higher education students aged 18 and over and enrolled in a higher education 
institution. The final dataset consisted of 31,212 responses from 133 countries and 6 continents. The data may prove useful for researchers 
studying the pandemic’s impacts on various aspects of student life. Policymakers can utilize the data to determine the best solutions as they
formulate policy recommendations and strategies to support students during this and any future pandemic.

Acknowledgments:
The extensive dataset could not be collected without the numerous international partners who provided the exceptional assistance with 
questionnaire translation and/or data collection. This work also acknowledges the international partners, who may have been unintentionally 
omitted from authorship due to the snowball recruitment technique. Special thanks go also to anonymous global survey participants for their 
valuable insights into the lives of students, which they shared selflessly. The authors also acknowledge the CovidSocLab project 
(http://www.covidsoclab.org/) as a working platform for international collaboration.

Funding:
The authors acknowledge the financial support from the Slovenian Research Agency (research core funding No. P5-0093).
DOI: 10.17632/857nzrhw9b.1
title: Data for: How much is Russian Food Calorie

description: Datas of article Shabanov T How much is Russian Food Calorie  - preprint 10.13140/RG.2.2.31426.53444
DOI: 10.17632/htd46gmpgr.1
title: Dataset_Late embryonic losses 

description: The dataset contains information obtained in an observational study run in a commercial dairy herd from Argentina to test the hypothesis that infections with Bovine Viral Diarrhea Virus (BVDV), Infectious Bovine Rhinotracheitis virus (IBRV), and Neospora caninum (N. caninum) are associated with the risk for Late Embryonic Loss (LEL) in grazing dairy cows. The objectives were to evaluate the association of BVDV, IBRV, and N. caninum with the risk for LEL. Additional objectives were to evaluate blood progesterone concentration at the time of LEL occurrence and to detect BVDV, IBRV and N. caninum in aspirated conceptuses from LEL cows. A prospective cohort study involving 92 cows (46 with LEL and 46 non-LEL) was run. The LEL was defined as a cow having an embryo with no heartbeat or with detached membranes or floating structures, including embryo remnants detected by ultrasonography (US) at 28-42 days post-AI, whereas a non-LEL was defined as cows with embryo heartbeats detectable by US at 28-42 d post-IA. Two blood samples were obtained from every cow, the first one, on the day of LEL detection by US (in LEL cows and paired non-LEL cows), and the second one, 28 d later. Serological diagnosis to BVDV, IBRV, and N. caninum infection was performed on all samples, and progesterone concentration was measured on the first sampling. Presence of BVDV, IBRV and N. caninum in aspirated conceptuses from LEL cows was evaluated by PCR. The associations of risk factors (serological titers, seroconversion, and progesterone) with LEL odds were assessed with logistic regression models. The risk for LEL was associated with the seroprevalence to BVDV in the second sampling (P=0.03), but not with seroprevalence to BVDV, IBRV, N. caninum in the first sampling, either IBRV or N. caninum in the second sampling. Also, the risk for LEL tended to be associated with seroconversion to BVDV (P=0.09). Conversely, the risk for LEL was not associated with seroconversion to IBRV or N. caninum. Progesterone concentration in blood was not associated with the risk for LEL and was similar in LEL and non-LEL cows (P=0.54). Finally, BVDV was only detected in conceptuses from seropositive LEL cows that seroconverted to BVDV. In conclusion, BVDV infection is a risk factor for LEL in dairy cows. Conversely, IBRV, N. caninum, and luteolysis seem not to play any role in LEL development.
DOI: 10.17632/xf58rsgj94.1
title: Data in Brief for research paper: Hu et al., ‘Effects and Mechanism of Ganoderma Lucidum Polysaccharides in the Treatment of Diabetic Nephropathy in Streptozotocin-Induced Diabetic Rats’

description: Ganoderma lucidum polysaccharides (GLP) has renal protection effect but none study on the diabetic nephropathy. This study was to investigate its effect and mechanism using a diabetic rat model induced by streptozotocin (50 mg/kg, i.p.). The diabetic rats were treated with GLP (300 mg/kg/day) for 10 weeks. The blood glucose, glycated-haemoglobin, body weight, and the levels of blood creatinine, urea nitrogen, and urine protein were assessed. Also, renal pathologies were assessed by the tissue sections stained with haematoxylin-eosin, Masson's trichome and periodic acid-Schiff. The expression of p-PI3K, p-Akt, and p-mTOR, the autophagy proteins beclin-1, LC3-II, LC3-I and P62; the apoptosis-related proteins caspase-3 and caspase-9; and the inflammation markers IL-6, IL-1β, and TNF-ɑ were assessed. Results showed that GLP alleviated the impairment of renal function by reducing urinary protein excretion and the blood creatinine level and ameliorated diabetic nephropathy. The expression of p-PI3K, p-Akt, and p-mTOR in the diabetic kidney were significantly reduced in GLP treatment group compared to the without treatment group. GLP treatment activated the autophagy indicators of beclin-1 and the ratio of LC3-II/LC3-I but reduced p62; also inhibited the expression of caspase-3, caspase-9 and IL-6, IL-1β and TNF-ɑ. In conclusion, the effect of GLP amelioration diabetic nephropathy may be via inhibition of the PI3k/Akt/mTOR signaling pathway by inhibition the apoptosis and inflammation and activation the autophagy process.
DOI: 10.17632/m4628342vv.1
title: Life data and python code 

description: * Life data:
People, word, food, leisure, and transportation are placed in each column in Excel.
- Column Description -
people: the number of confirmed COVID-19 cases
word: number of searches
food: the amount paid by people, who ate at restaurants
leisure: the amount paid by people, who enjoyed leisure activities 
transportation: the amount paid by people, who used public transportation 

*Python code 1:
Python code using DNN algorithm to predict the number of confirmed COVID-19 cases (written in Jupyter notebook)

*Python code 2:
Python code using LSTM algorithm to predict the number of confirmed COVID-19 cases (written in Jupyter notebook)
DOI: 10.17632/9926fkjgs6.1
title: Two-adjuvant multiantigen candidate vaccine induces superior protective immune responses against SARS-CoV-2 challenge. Sun et al

description: Since the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), this virus has spread worldwide, causing the ongoing coronavirus disease 2019 (COVID-19) pandemic, which has resulted in over two million deaths (https://covid.cdc.gov/covid-data-tracker/#global-counts-rates). Developing a vaccine that can not only prevent COVID-19 but also stop the transmission of SARS-CoV-2, especially with the ability to clear the virus in the upper respiratory tract (URT), is the major target of vaccine developers. In this study, we first tested the synergistic adjuvant effects of nonpathogenic Escherichia coli-derived ﬂagellin (KF) and cGAMP in vivo and in vitro by using bone marrow-derived dendritic cells (BMDCs) and the model antigen ovalbumin (OVA). Subsequently, we evaluated the optimal forms of the S protein for use as an antigen. Finally, we prepared a multiantigen-based SARS-CoV-2 vaccine formulated with this combined adjuvant and then compared its immunogenicity and protective efficacy with those of a reference inactivated vaccine in mouse models. We aimed to search for a candidate vaccine that has the potential to elicit humoral, cellular, and mucosal immunity to prevent viral infection and disease and to promote efficient viral clearance from the URT.