cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19941395.v1
title: Outcome and associated predictors for non-surgical healing of large cyst-like periapical lesions: A CBCT-based prospective cohort study

description: <strong>Aim:</strong> The aim of this cone-beam computed tomography (CBCT) based study was to evaluate the outcome of non-surgical root canal treatment (RCT) performed for the management of large cyst like periapical lesions (LCPL) and to identify the predictive factors affecting healing. <strong>Methodology: </strong>54 subjects (77 permanent maxillary anterior teeth) with LCPL (&gt;10mm) of endodontic origin were included. A single operator performed standardised multi-visit RCT. Patients were clinically and radiographically examined at 6,12 months and a CBCT scan was taken at 24 months. Two independent blinded evaluators measured the pre and postoperative volume of periapical lesions on CBCT scans using ITK snap software. The outcome was assessed as a percentage change in lesion volume and dichotomized as success (resolved/reduced) or failure (unchanged/enlarged). Ten pre-operative (gender; age; intraoral draining sinus, soft tissue swelling, tooth discoloration, pulp canal obliteration, open apex, root resorption, cortical bone defect and lesion volume) and four intraoperative (apical extent and density of root filling; number of treatment visits and type of root filling) predictive factors were observed. Bivariate and stepwise multivariable linear regression analysis was performed to identify independent predictors affecting treatment outcomes. The significance level was set at 5%. <strong>Results: </strong>A recall rate of 88% was achieved<strong>. </strong>The success rate of RCT was 82.2% (8.9% resolved, 73.3% reduced). Median lesion volume reduction was 75% (IQR 61%-93%). No pre or intra-operative factors were related to treatment failure. However, presence of preoperative cortical bone defect (palatal versus no cortical defect, β= -51.5; 95% CI: -86.9 to -16, p = 0.006) and apical extent of obturation (long versus flush, β= -27.2; 95% CI: -53.8 to -0.6, p = 0.04) were negatively associated with reduction in lesion volume (%). <strong>Conclusion:</strong> LCPL may be successfully managed with RCT. Preoperative cortical bone defect and apical extent of obturation may negatively influence osseous healing.
DOI: 10.17632/4pntcf4sp9
title: Qualification of a Liquid Chromatography/Mass Spectrometry (LC/MS) Semi-quantitative Screening Method used for Analysis of Extractables and Leachables from Medical Devices, Medical Device Componentry and Other Associated Materials

description: This technical note summarizes the qualification of a LC-MS method qualification for use in general screening of extractables from medical devices.
DOI: 10.17632/b99tndkk99
title: Potential energy curves and UV absorption cross-sections of sulfur dimer

description: MRCI-F12+Q/aug-cc-pV(5+d)Z ab initio potential energy and transition dipole moment curves of three S2 electronic states: X^3\Sigma_g^-, B''^3\Pi_u (both x,y degeneracies), B^3\Sigma_u^-. In addition, absorption cross-sections are included for four isotopologues (32S32S, 33S32S, 34S32S, and 36S32S) at T=300K. Additional two absorption cross-sections are included for 32S32S at T=370K and 823K for comparison with experimental cross-sections produced by Stark et al., J. Chem. Phys. 148, 244302 (2018). The absorption cross-sections are in cm^2 and the wavelength is in nm. Potential energy curves are in Hartree and interatomic distance is in Aangstrom. For linelists, the filename convention is used as follows: discrete_[excited electronic state e]_[ground electronic v]_[ground electronic J].dat for all discrete transitions from the specific v,J state to e. Indices are 0: B''^3Pi_ux; 1: B''^3Pi_uy; 2: B^3sigma_u^- The linelist contents are displayed in two main columns: [Energy (Hartree), Cross-section (cm^2)] and for the B^3sigma_u^- state, i.e. discrete_2_i_j.dat files: [Energy (Hartree), Cross-section (cm^2), Gamma (cm^-1)] where Gamma is the pre-dissociation FWHM broadening factor for states with energy greater than the dissociation energy for B''^3Pi_u state. The factor Gamma is calculated according to the close-coupling method shown in van Dischoeck et al. (1984), https://doi.org/10.1063/1.447622. However, we are not certain with the complete accuracy of it, since we have not included spin-orbit coupling interactions, which is expected to have an effect on the pre-dissociation factor. continuum_[excited electronic state e]_[ground electronic v]_[ground electronic J].dat for evenly spaced continuum transitions from the specific v,J state to e. Indices are 0: B Pi_ux; 1: B Pi_uy; 2: B_sigma_u [Energy (Hartree), Cross-section (cm^2)] gnd_energies.dat for all ground state v, J levels [v, J, Energy (Hartree)] The attached python script total_csection.py can be used to reproduce the total absorption cross-sections from linelists for each isotopologue by renaming the linelist directory to 'results' and putting in the same working directory as the script. Invoking the script, e.g.: &gt;&gt;python3 total_csection.py --recalc --temp 300 --isos 32S 32S will produce the total absorption cross-section with Boltzmann distribution and Doppler broadening at 300 Kelvin for 32S32S molecule.
DOI: 10.17632/cgyh5s88kc
title: Dataset of Occupational Stress, Job Satisfaction and Job Performance Among Male Fertility Patients (Original Data)

description: Survey dataset on occupational stress, job satisfaction and job performance among male fertility patients
DOI: 10.17632/gstst6h3cf
title: Development and Validation of Digital Amnesia Scale

description: •	Study consisted of 616 college students aged between 18 and 25 years (M = 19.29, SD = 1.37). Among the participants, 275 were males (44.6%) and 341 were females (55.4%).
•	EFA was carried out to extract the underlying factor structure of the DAS. 
•	Data were extracted using the Principle Component Method with Varimax rotation.
•	EFA generated a 3-factor model namely Digital Distraction, Digital Dependency, and Digital Detox. These three factors explained 61.59% of the variance. 
•	CFA was carried out to validate the factor structure of the DAS. 
•	Convergent Validity and Discriminant Validity were established.
DOI: 10.17632/mx76fvdm3v
title: Experience sampling reveals the role that covert goal states play in task-relevant behavior.

description: Anonymized Multidimensional Experience Sampling data and Gradient coordinates used in the analysis reported in Mckeown et al. (2023), "Experience sampling reveals the role that covert goal states play in task-relevant behavior". Summary: Cognitive neuroscience has gained insight into covert states using experience sampling. Traditionally, this approach has focused on off-task states. However, task-relevant states are also maintained via covert processes. Our study examined whether experience sampling can also provide insights into covert goal-relevant states that support task performance. To address this question, we developed a neural state space, using dimensions of brain function variation, that allows neural correlates of overt and covert states to be examined in a common analytic space. We use this to describe brain activity during task performance, its relation to covert states identified via experience sampling, and links between individual variation in overt and covert states and task performance. Our study established deliberate task focus was linked to faster target detection, and brain states underlying this experience—and target detection—were associated with activity patterns emphasizing the fronto-parietal network. In contrast, brain states underlying off-task experiences—and vigilance periods—were linked to activity patterns emphasizing the default mode network. Our study shows experience sampling can not only describe covert states that are unrelated to the task at hand, but can also be used to highlight the role fronto-parietal regions play in the maintenance of covert task-relevant states. 'n57_scanner_mdes_PCA_spearman_gradients_demographics_rt_movement_mendeley_anon.csv' contains all anonymized experience-sampling data, PCA scores, state space coordinates, demographics, and movement data for the 57 participants reported in the main analyses. 'n57_scanner_mdes_PCA_yeoNetworks_demographics_rt_movement_mendeley_anon.csv' contains all anonymized experience-sampling data, PCA scores, Yeo-7 network averages, demographics, and movement data for the same 57 participants. 'n46_lab_and_scanner_PCA_mendeley_anon.csv' contains all anonymized lab and scanner PCA scores for the 46 participants that participated in both behavioral and scanner sessions (supplementary analysis). Note: 3 scanner participants in this dataset were excluded from fMRI analyses (anon IDs: 58, 59, 60). Version 2 data includes coordinates for dimensions 1-5, calculated via Spearman rank correlation, as well as the network averages for each of the Yeo-7 networks.
DOI: 10.17632/s2j9kzrd35
title: Data associated with "Bibacillin 1: A two-component lantibiotic from Bacillus thuringiensis" RSC Chem Biol 2024

description: Data associated with Figures 2AB, 3B, S1A, and S8
DOI: 10.6084/m9.figshare.24777081.v2
title: Criticality supports cross-frequency cortical-thalamic information transfer during conscious states

description: Included are data and code for generating the main figures in Toker et al "Criticality supports cross-frequency cortical-thalamic information transfer during conscious states." Also included are configuration files to generate our waking, anesthesia, and seizure simulations. The configuration files can be run using NFTSim, which can be downloaded at https://github.com/BrainDynamicsUSYD/nftsim.
DOI: 10.17632/ddxbccfnfz
title: West Virginia Unincorporated Communities

description: this dataset represents locations in Raleigh West Virginia where unincorporated communities. Unincorporated communities are towns without municipal organization.
DOI: 10.17632/nvgjcn5nsx
title: Leaf and needle spectra for 25 boreal tree species

description: This dataset contains reflectance and transmittance spectra of leaf and needle samples collected from trees grown in four sites in the Helsinki area in Southern Finland: Otaniemi campus (60°11´N, 24°49´E), Viikki arboretum (60°13´N, 25°00´E), Kumpula botanical garden (60°12´N, 24°57´E), and Ruotsinkylä research forest (60°22´N, 24°59´E). 

The spectra have been reported in Hovi, A., Raitio, P., Rautiainen, M., (2017). A spectral analysis of 25 boreal tree species. Silva Fennica, 51(4), 7753, https://doi.org/10.14214/sf.7753. If using the data, please cite the above publication and the Mendeley Dataset: Hovi, A., Rautiainen, M., (2022). Leaf and needle spectra for 25 boreal tree species. Mendeley Data, V1, https://doi.org/10.17632/nvgjcn5nsx.1.

Reflectance and transmittance spectra were measured for a total of 25 tree species close to peak growing season in 2016. In addition to one-time measurements of the 25 species, the dataset contains time series of spectra for the dominating tree species in Finland (Betula pendula, Picea abies, Pinus sylvestris, Populus tremula) from May to October. The number of sampled trees varied from 1 to 3 per species. For each tree, three leaf or needle samples from top part of the tree crown (predominantly sun-exposed foliage) and three samples from bottom part of the tree crown (predominantly shaded foliage) were measured. Both sides of the sample (A = adaxial = upper, B = abaxial = lower) were measured with the following exceptions. Needles of spruce species (Picea abies, Picea glauca, Picea mariana) do not have clearly defined sides, and therefore only one side of the sample (marked as A in the data) was measured. For tamarack (Larix laricina), both sides were measured, but it was not possible to reliably distinguish which is upper and which is lower.

The following additional data were not reported in Hovi et al. (2017), but are included in the dataset for the sake of thoroughness:
    i) The measurements of Picea abies and Pinus sylvestris made between 22nd Jul and 1st Aug 2016 employed slightly different needle carriers than the other measurements. This could have affected the comparability of these samples with the others, and these samples should be used with caution.
    ii)	For Picea glauca, one tree (species labeled as PICGLAA in the data) was sampled that represents a long-needled form of P. glauca (P. glauca var. albertiana (S. Br.) Sarg.).

For further details of the data collection, measurements, and the content of the data files, see Hovi et al. (2017) and README.pdf.
DOI: 10.17632/rrjtbz3rym
title: Supplementary material - Evaluating the risk of skin atrophy induced by short-term topical corticosteroid use in atopic dermatitis lesional skin: A systematic review

description: Supplementary Tables 1 and 2 for JAAD International - Evaluating the risk of skin atrophy induced by short-term topical corticosteroid use in atopic dermatitis lesional skin: A systematic review
DOI: 10.17632/83my5tpmpw
title: Attenuated Total Reflection - Fourier Transform Infrared spectra of food packaging plastics
DOI: 10.17632/md39np6m94
title: Nb2O5/Ce metadata

description: Nb2O5/Ce article metadata
DOI: 10.17632/y2tz67f6ry
title: Data Repository for Research Article: "Model-Based Kinetic Espresso Brewing Control Chart for Representative Taste Components"

description: This repository contains all data, files, and MATLAB code for comprehending and reproducing the results of our research article "New Model-Based Kinetic Brewing Control Chart for Espresso Coffee Predicting the Extraction Kinetics of Representative Taste Components at Varying Temperature and Flow Rate". The folder "Experimental_data" contains experimental data from our previous research article "Inﬂuence of Flow Rate, Particle Size, and Temperature on Espresso Extraction Kinetics" (https://doi.org/10.3390/foods12152871). We offer an "Espresso Brewing Control App" for download which is a tool for understanding and optimizing espresso coffee extraction at different extraction parameters, e.g., water temperature, flow rate, and brew ratio. The app is allowed to be modified and extended using the respective MATLAB code, provided that the prerequisites of the licence of this data repository are fulfilled. The instruction document "Instructions_for_MATLAB_Code.docx" is a manual on how to use the MATLAB Code for parameter estimation using extraction kinetics data. We recommend reading the research article before using the MATLAB code to enhance clarity about the model and the parameter estimation procedure.
DOI: 10.17632/hj634mwk24
title: MoLa R10k InCar Dataset

description: This repository presents the MoLa R10k InCar Dataset. The repository is divided in 2 parts (Pt#) and includes a real dataset. To ease its use, a general README file is provided, explaining the structure of an individual sub-dataset. For visualization purposes, a toolbox is provided in MATLAB code that reads the individual sub-dataset and generates an animation with image and ground-truth. Part 1 - http://dx.doi.org/10.17632/hj634mwk24.1 Part 2 - http://dx.doi.org/10.17632/58db7xy5p3.1 All publications using MoLa R10k InCar Dataset, should cite the following paper: João Borges; Bruno Oliveira; Helena Torres; Nelson Rodrigues; Sandro Queirós; Maximilian Shiller; Victor Coelho; Johannes Pallauf; José Henrique Brito; José Mendes; Jaime Cruz Fonseca (2020), “Automated generation of synthetic in-car dataset for human body pose detection”, Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISAPP 2020.
DOI: 10.17632/p5rp3zd2rc
title: Raw data: Stress Concentration and Young's Modulus

description: It provides source files and raw data concerning micromechanics of lattice structures. It is a supplementary information to reproduce the reserach findings.
DOI: 10.17632/r9yt6tjznj
title: ADmoND: MathWorks Matlab Package for simulation of monolayer adsorption processes in nano devices

description: ADmoNDv2 can be used as a MATLAB toolbox or a MATLAB application. Both versions allow for flexible investigations of adsorption-desorption processes in time domain and in frequency domain, whereby the process itself may be treated as a deterministic or a stochastic one. Some system parameters are stored in an Microsoft Office Excel file and some can be accessed or modified through dialogues. Graphical user interface (GUI) for ADmoND is based on MATLAB GUI for figure handling. Original task ribbon is extended with three new tabs: System, Evolutions and Equilibrium. System tab is equipped with buttons that activate dialogues for setting the environmental parameters like temperature, effective sensing (adsorbent) area and reaction chamber volume and composition of an adsorbate mixture. These dialogues are for communicating with Microsoft Office Excel file where parameters are stored. Button Visual aims to give stills and animations. It produces figures that show system of adsorbate species with different molecular projection areas (some calculations are coded for adsorbate particles that occupy more than 1 adsorption center). Evolutions tab is equipped with buttons that activate calculations of time evolutions of adsorbed particles on the surface for system defined by the use of System tab. One can choose calculations applicable to nonlinear model of adsorption based on nonlinear Riccati equations or calculations applicable to linear Lagergren pseudo first order kinetic model. Button Hold Toggle aims for keeping or discarding obtained diagrams which makes ADmoND a versatile tool which allows quick and convenient quantitative and qualitative analysis of various adsorption-based systems with ease. Equilibrium tab is equipped with buttons that activate calculations of equilibrium coverage and power spectral densities of stochastic variables in the system. Genuinely, the number of adsorbed particles on the surface is a stochastic variable, thus every other variable related to this number is also stochastic. In resonant micro structures fluctuations in number of adsorbate particles cause fluctuations in resonating frequency and in refractometric adsorption based sensors we have fluctuations in refractive index change caused by the same mechanism. Since these fluctuations are pressure or temperature dependent, buttons for 3D profiling of adsorption induced fluctuations are also added. Here also, one can use Hold Toggle button in order to change temperature for instance and then observe the impact of temperature rise on the position of knees and low frequency noise magnitudes in typical Lorentzian spectra in the same diagram. This is beta version, some functions may happen untested, but all are available upon request from olga@nanosys.ihtm.bg.ac.rs .
DOI: 10.17632/bnzw823v6y
title: UDKM1DSIM – a Python toolbox for simulating 1D ultrafast dynamics in condensed matter

description: The udkm1Dsim toolbox is a collection of Python classes and routines to simulate the thermal, structural, and magnetic dynamics after laser excitation as well as the corresponding X-ray scattering response in one-dimensional samples, such as multilayers. The toolbox provides the capabilities to define arbitrary layered structures on the atomic level including a rich database of element-specific physical properties. The excitation of dynamics is represented by an N-temperature-model which is commonly applied in ultrafast physics. Structural dynamics due to thermal stresses are calculated by a linear-chain model of masses and springs. The implementation of specific magnetic dynamics can be easily accomplished by the user employing a generalized magnetization interface class. The resulting X-ray diffraction response is computed by kinematical or dynamical X-ray theory which can also include polarization-dependent magnetic scattering. The udkm1Dsim toolbox is highly modular and allows for injecting user-defined inputs at any step within the simulation procedure. The previous version of this program (AERH_v1_0) can be found at https://doi.org/10.1016/j.cpc.2013.10.009.
DOI: 10.17632/cp88jmb3ff
title: Bryson_MOLECULAR-CELL-D-22-00555_Figure_S1A

description: A giant virus genome is densely packaged by stable nucleosomes within virions.
The two doublet histones of Marseillevirus are distantly related to the four eukaryotic core histones and wrap 121 basepairs of DNA to form remarkably similar nucleosomes. By permeabilizing Marseillevirus virions and performing genome-wide nuclease digestion, chemical cleavage and mass spectrometry assays, we find that the higher-order organization of Marseillevirus chromatin fundamentally differs from that of eukaryotes. Marseillevirus nucleosomes fully protect DNA within virions as closely abutted 121-bp DNA wrapped cores without linker DNA or phasing along genes. Likewise, we observed that nucleosomes reconstituted onto multi-copy tandem repeats of a nucleosome positioning sequence are tightly packed. Dense promiscuous packing of fully wrapped nucleosomes rather than “beads-on-a-string” with genic punctuation represents a new mode of DNA packaging by histones. We suggest that doublet histones have evolved for viral genome protection and may resemble an early stage of histone differentiation leading to the eukaryotic octameric nucleosome.
Marseillevirus nucleosomes are mostly insoluble after MNase treatment. Tapestation gel image of DNA purified from breached Marseillevirus T19 virus particles after NP40 treatment for times as indicated and 5 min MNase digestion.
DOI: 10.17632/pbbwvjxgbc
title: Predicting Honeybee Health: The Healthy Colony Checklist,Hive Scale and Weather Data

description: This dataset is designed to help monitor and predict honeybee health. It includes information from hives in North Carolina and Utah, including records of colony health as measured by the standardized Healthy Colony Checklist (HCC) protocol described in Cazier et. al. (2018a and 2018b). Honey bee colony inspection data was paired with hive weight data for more insights.
DOI: 10.17632/y8g64m2v52
title: Data for: A global erosivity index to represent sevgroduction potential of different rock types

description: A gridded representation of the global erodibility index described in the linked paper. This erodibility index is the first estimate of sediment production potential of different rock types at given environmental conditions aimed at regional to global scale application. The index is 1.0 for acid plutonic rocks, metamorphic rocks, and carbonate sedimentary rocks; medium erodibility: 1.1 for acid volcanic rocks; 1.2 for mixed sedimentary rocks; medium erodibility - 1.5 for basic plutonic rocks, siliciclastic rocks of all grain sizes; 1.4 for basic volcanic rocks; high erodibility – 3.2 for unconsolidated sediments. The gridding of 0.1 degrees to align with the gridding of the BQUART model.