cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/f3v73r2wn9
title: Data for: Multivariate Probability Distribution of Shanghai Clay Properties

description: A database for 11 clay parameters covering 50 sites in Shanghai with 4051 data points is compiled. These sites are distributed in 8 Districts of Shanghai covering approximately 145 km2 in area. This is the first sizeable multivariate soil database compiled at the municipal level. The data points are collected from site investigation reports of Shanghai. Soil properties which are measured in close proximity are selected to constitute a set of data points. This database is useful for studies of the soil properties about Shanghai clay. It also enriches the information of soil properties from a global perspective and will contribute to the development of machine learning algorithm for geotechnical problems.
DOI: 10.17632/rstt28wy55
title: Student Intention to Use MUVEs: An Integrated Model of Technology Acceptance and Learning Engagement Theories

description: Raw data for SEM.
DOI: 10.17632/ytb434c7zx
title: Multistage operating room sequencing problem

description: This data is about a specific problem in surgery scheduling that focuses on dividing surgeries into different phases to improve resource scheduling. The problem is based on real-life situations in a private hospital in Belgium and involves sequencing surgeries and determining their start times, taking into account the availability of various resources such as rooms, surgeons, and anesthesiologists. The main goal is to efficiently allocate and use resources to minimize the number of overtime hours they are engaged. The approach includes dividing the peri-operative stage into different phases, each requiring a specific mix of resources, which differs from traditional approaches that assign resources for the entire surgery duration. This flexibility helps create a more efficient schedule by reducing resource idle time and associated costs.

The dataset consists of two parts. The first part, named "General", is synthetic data meticulously generated to simulate real-life environments, validating the stability and efficiency of the proposed algorithm. The second part, named "Reallife" involves a case study conducted at the private hospital Sint-Elisabeth Zottegem (Belgium) to assess the value of dividing surgeries into multiple resource phases. To gather the necessary instance information, we conducted interviews with key personnel responsible for composing OR schedules and examined the OR logbook for July 2022. This resulted in the collection of data for 20 instances, with each instance representing the activities of a single day and the total number of patients ranging from 38 to 88.

This dataset is designed to consider resource assignment to, dismissal from, and return to surgical cases at different stages (pre-surgery, peri-surgery, post-surgery, recovery, etc.). The findings of this research are detailed in the paper titled "A Two-Layer Heuristic for Patient Sequencing in the Operating Room Theatre Considering Multiple Resource Phases," currently under review. Further information, including the DOI, will be assigned upon acceptance.

It's worth noting that the paper under review explores a problem similar to others, such as the work by Latorre-Núñez et al. (2016) on scheduling operating rooms with consideration of all resources, post-anesthesia beds, and emergency surgeries (Computers & Industrial Engineering, 97, 248-257).

Some notes:
1- Each folder contains a subfolder called "Instance" which includes all instances in HTML format. The information is organized in an object-oriented manner using related tag objects.
2- Other subfolders include the result and solution for each instance in HTML format. For example, the subfolder "MIP" includes all solutions reported by CPLEX from the MIP model under a 3600-second time limit. For more information about the model and PC, please refer to the linked paper.
3- All files have a "description" tag that provides a brief summary of their contents.
DOI: 10.17632/zcwy255w2d
title: A program for coupled-channel calculations with all order couplings for heavy-ion fusion reactions

description: Abstract A FORTRAN 77 program that calculates fusion cross sections and mean angular momenta of the compound nucleus under the influence of couplings between the relative motion and several nuclear collective motions is presented. The no-Coriolis approximation is employed to reduce the dimension of coupled-channel equations. The program takes into account the effects of nonlinear couplings to all orders, which have been shown to play an important role in heavy-ion fusion reactions at subbarrier energi... Title of program: CCFULL Catalogue Id: ADKM_v1_0 Nature of problem It has by now been well established that fusion reactions at energies near and below the Coulomb barrier are strongly influenced by couplings of the relative motion of the colliding nuclei to several nuclear intrinsic motions. Recently, precisely measured fusion cross sections have become available for several systems, and a distribution of the Coulomb barrier, which is originated from the channel couplings, have been extracted. It has been pointed out that the linear coupling approximation, whi ... Versions of this program held in the CPC repository in Mendeley Data ADKM_v1_0; CCFULL; 10.1016/S0010-4655(99)00243-X This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/72wf7b93sx
title: Appendix 1

description: Example data for three-way large-scale group decision-making considering co-opetition relations.
DOI: 10.17632/n6rbd534h3
title: Loihi Reaction Paths

description: Output files of EQ3/6 reaction path calculation of water-rock-gas reactions during hydrothermal circulation at Loihi
DOI: 10.17632/crrnn733nj
title: Malaysia PWEL of PM10 in 2000, 2008 and 2013 dataset

description: Abstract: Epidemiological studies have found that particulate matter less than 10 microns in diameter (PM10) is hazardous to human health. Population-weighted exposure level (PWEL) estimation is one of the methods that provide quantitative assessments of areas where population is vulnerable to the harmful pollutant. This study assessed the PWEL of PM10 concentrations in the states of Malaysia for years 2000, 2008 and 2013 using remote sensing and geographic information system (GIS). Estimated PM10 annual mean concentrations with a spatial resolution of 5 kilometers retrieved from satellite data, and population count obtained from the Gridded Population of the World version 4 (GPWv4) from the Center for International Earth Science Information Network (CIESIN), were overlaid to generate PWEL of PM10. PWEL of PM10 for each state during the key period were then calculated to study the trend of PWEL of PM10. Concentrations of the pollutant were then classified based on the World Health Organization interim target (WHO IT) guideline. Data revealed that population distribution was non-uniform in each state of Malaysia. Generally, PWEL of PM10 was overall lower than the mean concentration in most states. Higher PWEL of PM10 concentrations were observed in the central region. Results have shown that the population in urban and industrialized states were most vulnerable to adverse health effects attributable to PM10 pollution. These results can be used as a decision-making tool and reference for health risk assessment of the population and regions that need more attention to curb air pollution. Excel workbook = Sheet 1: Malaysian population distribution, estimated PM10 values and calculated PWEL in 2000, 2008 and 2013 Sheet 2: Malaysian population and area distribution in different vulnerability levels according to WHO AQG & interim targets Sheet 3: Malaysian population and area distribution in different vulnerability levels according to Malaysia AQG & interim targets Sheet 4: Calculated PM10 from satellite data validation with ground-based PM10 measurement Sheet 5: Calculated relative humidity from satellite data IBM SPSS output: Correlation between population density and PWEL
DOI: 10.6084/m9.figshare.26841535.v1
title: <b>HCCP_2ndWave_3rd(2022)_Data.csv</b>

description: the Human Capital Corporate Panel (HCCP) survey conducted by the Korea Research Institute for Vocational Education and Training (KRIVET), 2nd wave, 3rd year(2022) data.
DOI: 10.17632/9nfcfty35x
title: Data for: Rapid tools for assessing Building Heritage’s seismic vulnerability: a preliminary reliability analysis

description: Data used for the paper entitled: "Rapid tools for assessing Building Heritage’s seismic vulnerability: a preliminary reliability analysis". Vulnerability assessment of structural units according to Lagormasino and Giovinazzi 2006 and Ferreira Vicente Varum 2010 are provided. Aggregate buildings vulnerability according to the Mazzotti 2008 (SISMA) methods are provided. Finally, Lagormasino and Giovinazzi 2006-based aggregate buildings vulnerability assessment methods according to Section 3.4 of the paper are offered, by including correlations with Mazzotti 2008.
DOI: 10.17632/cpxg55hfd3
title: Supplementary Methods for phototrichogram technique and hair diameter measurement

description: This dataset supports the study on hair diameter diversity (HDD) as a diagnostic indicator for androgenetic alopecia (AGA). It includes methodological details on how phototrichogram images were captured and analyzed. Magnified images of the vertex and occiput were obtained using Folliscope® 5.0 at 50x–85x magnification. For accurate quantification, images were further analyzed using Image J software with pixel-level precision. Hair diameters were measured 350–450 µm from the scalp surface to reflect natural hair thickening patterns, and overlapping or marginal hairs were excluded.
DOI: 10.17632/x23w8hh92g
title: Data Set for Marriot International Customer and Employee Ratings

description: This data set includes raw customer and employee perspective data for Marriot International, Preprocessed Excel Files, Tableau Workbooks and Jupyter Notebooks.
DOI: 10.6084/m9.figshare.920139.v1
title: APPLICATION OF RFID AT LIBRARY FOR CONTROL OF INFORMATION SERVICES

description: It is not just the ubiquitous computers that constitute technology in Library and Information<br>centers. There are intricate databases, electronic Information Services and quite recently RFID tags. Not<br>many patrons know of RFID tags. But in the library community there are questions of privacy. It is not just<br>Libraries that use RFID. RFID Technology could transform stores, factories every day lives of people.<br>This Technology offers a higher level of security system, so the choice now for users is whether they want<br>a chip inserted into their fatty tissues below the triceps or to have their palm veins recorded with an<br>infrared light. The safety precautions are important especially in the wake of 9/11 and that once has one<br>kind of technology, it is only natural that it will lead to another. Yet all this sounds too high tech. really!<br>This technology is a boon. This article presents an application of technology for library management. It<br>discusses the technology and need of RFID in a larger collection of Libraries and some special<br>Information Services.
DOI: 10.17632/27456wjx5s
title: Data of "Multi-institutional study on image quality for a novel CBCT solution on O-ring linac"

description: Data of "Multi-institutional study on image quality for a novel CBCT solution on O-ring linac". 

Abstract 
Introduction: This work presents a multi-institutional study on image quality provided by a novel cone beam computed tomography (CBCT). The main goal is to investigate the consistency of imaging performance across multiple institutions.
Methods: Phantoms for measuring relative electron density (RED) and image quality were sent to six institutions for imaging on Ethos and Halcyon units equipped with HyperSight CBCT. The imaging protocols included tube potential from 100 to 140 kVp and exposure from 80 to 800 mAs. Imaging performance was evaluated with regard to RED versus Hounsfield Units (HU), uniformity, contrast-to-noise ratio (CNR), slice thickness, circular symmetry, Modulation Transfer Function (MTF), and spatial resolution. 
Results: Among all institutions, some variability was observed among institutions in the RED-to-HU relationship, especially for RED values greater than 1, although no outliers were found (|z-score|&lt;2 in all cases). In this range, RED/HU slopes were 475 ± 25 10-6 RED/HU at 100kVp, 505 ± 20 10-6 RED/HU at 125kVp, and 550 ± 20 10-6 RED/HU at 140kVp. Radial uniformity ranged from 1 to 7 HU, depending on protocol. Circular symmetry for two points 50 mm apart showed consistency within one-pixel dimension. Integral non-uniformity was between 1 to 10, with no difference observed between vertical and horizontal dimensions. Contrast rods with 1 % gave CNR=0.5, 1 and 2 for 100(88), 125(176) and 140(528) in kVp(mAs), and contrast rods with 0.5 % had CNR=0.2, 0.4 and 0.8 for 100(88), 125(176) and 140(528) in kVp(mAs). Spatial resolution given by MTF at 10 % and 50 % yielded values of 0.55 ± 0.01 mm-1 and 0.35 ± 0.02 mm-1, respectively. 
Conclusions: This multi-institutional analysis of CBCT imaging performance showed consistency in radial uniformity, circular symmetry, integral non-uniformity, contrast and spatial resolution. Some variability was seen in the RED-to-HU relationship for RED&gt;1 depending on exposure. More data from different institutions would be necessary to establish more robust statistical metrics which ensure quality parameters.

Agulles-Pedrós L, MacDonald RL, Cherpak AJ, et al.Multi-institutional study on image quality for a novel CBCT solution on O-ring linac. J Appl Clin Med Phys. 2025;e70023.
https://doi.org/10.1002/acm2.70023
DOI: 10.17632/8yvy2g2zxs
title: Building and Neighborhood Data Considering Energy in Dublin, Ireland

description: Central to our investigation is the Building Energy Rating (BER) dataset of Ireland, sourced from GeoDirectory data. This dataset provides a foundational resource, encompassing a comprehensive range of building-scale parameters such as detailed addresses, geocode data (latitude and longitude), area, height, number of floors, roof type, construction age, radon emission, HVAC system details, and bedroom and bathroom counts.
To enrich this dataset, we incorporated additional features from the Digital Landscape Models (DLM) Core Data from Tailte Éireann Surveying (PRIME2 Dataset). These enhancements include metrics such as nearest neighbor buildings, the density of the built environment surrounding each building, and district attributes like the ratio of green area to non-green area in the urban vicinity.
Dataset Compilation:
After carefully considering various data acquisition methods to capture building-scale and neighborhood-scale features, including both geometric and non-geometric attributes, as well as information about the surrounding built environment, we compiled a comprehensive dataset. Due to data protection policies, specific spatial details such as latitude, longitude, and addresses were omitted. However, the remaining data, aligned with our data acquisition objectives, is structured into a CSV file available in the mentioned repository.
Key Features:
1. Building-Scale Attributes:
o Identification and Location: Building ID, detailed address (excluding specific spatial details for privacy), geocode data.
o Structural Details: Area, height, number of floors, roof type, construction age.
o Energy and Environmental Data: BER rating, radon emission, HVAC system details.
o Additional Metrics: Estimated number of bedrooms and bathrooms, water heating source, space heating source.
2. Neighborhood-Scale Attributes:
o Environmental Context: Soil composition, presence of water bodies and green spaces, built-up areas.
o Urban Infrastructure: Roads, pathways, networks, and other land uses.
o Spatial Relationships: Built environment density, district green and non-green area, and land cover specification.
Acknowledgment: 
We would like to thank the funder of the project, Science Foundation Ireland (SFI) under the NexSys SFI/21/SPP/3756 programme. We also thank to CEO, Tailte Éireann (acting on behalf of the Government of Ireland) to
reproduce Tailte Éireann – Surveying maps and data for the annual copyright licence, CYAL50402364, © Tailte Éirean.n – Surveying.
DOI: 10.6084/m9.figshare.15164772.v3
title: Data for "Global patterns and rates of habitat transitions across the eukaryotic tree of life"

description: Data associated with the manuscript "Global patterns and rates of habitat transitions across the eukaryotic tree of life". It includes the custom PR2-transitions database, annotated 18S and 28S OTU sequences, clustered short-read metabarcoding sequences, and phylogenetic trees generated in this study.
DOI: 10.6084/m9.figshare.19535632.v1
title: Supplementary Material for: Potential of Thymus and Activation-Regulated Chemokine (TARC) as a Prognostic Biomarker of Food Protein-Induced Enterocolitis Syndrome (FPIES) Caused by Egg Yolk

description: <b><i>Background:</i></b> Several recent studies have reported egg yolk-associated food protein-induced enterocolitis syndrome (FPIES) in Japan. We previously reported the usefulness of post-emetic thymus and activation-regulated chemokine (TARC) levels for the diagnosis and evaluation of symptom severity in FPIES caused by solid foods including egg yolk. However, there are no studies on the usefulness of TARC as a prognostic biomarker. <b><i>Objective:</i></b> The aim of the study was to evaluate the post-emetic TARC levels, clinical symptoms, and post-index event results of the egg yolk oral food challenge test (OFC), and retrospectively investigate predictive factors of the subsequent OFC result. <b><i>Method:</i></b> This retrospective study included 12 patients with egg yolk FPIES. The following long-term management protocol for egg yolk FPIES was mandatory for study inclusion: Patients visited the emergency department, met the diagnostic criteria of FPIES, and underwent an egg yolk OFC 6–12 months after complete elimination of egg yolk. If the result of the OFC was positive, the patient underwent the OFC every year until it was negative. We analyzed a total of 20 episodes (12 department visits and eight positive OFCs). The blood test data, including post-emetic TARC level and symptom severity, were compared between the next-OFC-positive group and the next-OFC-negative group. In addition, tolerance development over follow-up was analyzed. <b><i>Results:</i></b> The median (range) ages of the next-OFC-positive and negative groups were 11 (6–33) and 10 (7–21) months, respectively. The median (range) serum TARC (pg/mL) level was 5,208 (2,009–8,147) in the next-OFC-positive group, which was significantly higher (<i>p</i> = 0.004) than that in the next-OFC-negative group, which was 1,803 (905–3,754). There were no significant differences in other hematological results. The next-OFC-positive group had greater severity compared to the next-OFC-negative group (<i>p</i> = 0.026). The remission rate was approximately 30% at 24 months and 80% at 36 months. <b><i>Conclusion:</i></b> Post-emetic TARC levels may predict the short-term prognosis of egg yolk FPIES after approximately 1 year and could be useful for the management of egg yolk FPIES.
DOI: 10.17632/3rh2gwy462
title: Data for: iCLIP data analysis: A complete pipeline from sequencing reads to RBP binding sites

description: Accompanying files Supplementary Data 1: Bash code for all steps from raw reads until peak calling. This file provides the bash code for basic read processing, conversion into crosslink events and peak calling as described in Chapters 3-5.1. Details on the input files, preset variables and external tools required to run this code are listed in Chapters 2.1 and 3.1. Supplementary Data 2: R code for postprocessing of PureCLIP output. This file provides the R code to postprocess the output of PureCLIP peak calling as described in Chapter 5.2. Running this code requires a bed file with ’crosslink sites’ output by PureCLIP (PureCLIP.crosslink_sites_short.bed) and bw files with crosslink events (sampleX.strand.bw). The code to obtain these files is described in Supplementary Data 1. Supplementary Data 3: R code for reproducibility and downstream analysis. This file provides the R code to reproducibility analyses and assignment of genes and transcript regions as described in Chapters 6.1 and 6.2. Running this code requires a bed file with binding sites (e.g. curated PureCLIP output, see Chapter 5), a gtf file with gene/transcript annotations, and bw files with crosslink events in the individual replicates (sampleX.strand.bw, see Chapter4).
DOI: 10.6084/m9.figshare.1348803.v10
title: Grid convergence of PyGBe with protein G B1 D4'

description: Reproducibility package containing data, running script, plotting script and final plot of a grid-convergence study on protein G B1 D4' near a charged surface. The running script invokes the (open-source) bioelectrostatics solver PyGBe with the given input data, computes the extrapolated value of solvation plus surface energy (with Richardson extrapolation), and plots the final result of convergence. This result is part of the following publication: —<strong>"Poisson–Boltzmann model for protein-surface electrostatic interactions and grid-convergence study using the PyGBe code,"</strong> Christopher D. Cooper and Lorena A. Barba, Comput. Phys. Comm. (2016) doi:10.1016/j.cpc.2015.12.019 PyGBe solves biomolecular electrostatics problems using an implicit-solvent model (Poisson-Boltzmann) and it uses GPU hardware for fast execution. It is written in Python, PyCUDA and CUDA. More information about the PyGBe code in: <em>—"Validation of the PyGBe code for Poisson-Boltzmann equation with boundary element methods,"</em> Christopher Cooper, Lorena A. Barba. figshare.<br>http://dx.doi.org/10.6084/m9.figshare.154331 —"A biomolecular electrostatics solver using Python, GPUs and boundary elements that can handle solvent-filled cavities and Stern layers," Christopher D. Cooper, Jaydeep P. Bardhan, L. A. Barba. <em>Comput. Phys. Comm.</em>,<strong> 185</strong>(3):720–729 (March 2014). 10.1016/j.cpc.2013.10.028 // Preprint arXiv:1309.4018 <strong>Acknowledgement:</strong><br>This research is made possible by support from the Office of Naval Research, Applied Computational Analysis Program, N00014-11-1-0356. LAB also acknowledges support from NSF CAREER award OCI-1149784.
DOI: 10.6084/m9.figshare.14132333.v1
title: Functional connectivity in sympatric spiny rats reflects different dimensions of Amazonian forest-association

description: Supporting Information for the manuscript: Functional connectivity in sympatric spiny rats reflects different dimensions of Amazonian forest-association. Including:-Genetic Data: Raw and Filtered VCF;-Spatial Data: csv with sampled localities;-MLPE tables for IBR;-Table S1;-Supporting Information file (Appendix S1, S2, and S3) in a single pdf;
DOI: 10.17608/k6.auckland.27015301.v2
title: Raw dataset in C3D format

description: The C3D files of marker trajectories and ground reaction forces during walking and running with different step widths across different speeds.
DOI: 10.17632/bzsc7gd9p3
title: Outer Retinal Corrugations: Imaging Dataset and Mechanical Models

description: Dataset of the Data In Brief publication "Outer Retinal Corrugations: Imaging Dataset and Mechanical Models", Darabad et al.
This dataset contains the raw swept-source optical coherence tomography cross-sectional scans that were used to generate the mechanical models that elucidate the formation of outer retinal corrugations in rhegmatogenous retinal detachment.