cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6139025.v1
title: Supplementary Material for: C-Reactive Protein and Procalcitonin in Case Reports of Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) Syndrome

description: <b><i>Background:</i></b> The spectrum of inflammatory marker response in DRESS (drug reaction with eosinophilia and systemic symptoms) syndrome has not been systematically characterized. <b><i>Methods:</i></b> An epidemiological biomarker study of C-reactive protein (CRP) and procalcitonin (PCT) values in patients with DRESS syndrome reported at 2 regional pharmacovigilance centers in Switzerland or published in the medical literature 2008–2016 was performed. <b><i>Results:</i></b> Ninety-four DRESS cases were studied. All cases showed a CRP value &gt; 10 mg/L (the upper limit of normal). The mean CRP value was 109.2 ± 79.4 mg/L. CRP values were significantly higher in 22 cases where a cause of inflammation besides DRESS could not be excluded (mean 162.1 vs. 92.9 mg/L; <i>p</i> = 0.003). Receiver operator characteristics curve analysis showed a moderate performance with a CRP cut-off value of 99.4 mg/L (AUC 0.717) to distinguish between patients with and without a possible additional cause of inflammation. The mean and median PCT values were 2.44 ± 5.94 and 0.69 ng/mL, respectively (<i>n</i> = 25 patients). Patients in whom an additional cause of inflammation besides DRESS could not be excluded showed a median PCT of 1.37 ng/mL (<i>n</i> = 9) versus 0.67 ng/mL (<i>n</i> = 16) in patients with DRESS only. PCT values were above the normal cut-off of 0.1 ng/mL, suggestive of bacterial infection in all but 1 case. Furthermore, there was a correlation between PCT values and hepatic enzyme measurements. <b><i>Conclusions:</i></b> Evaluating CRP and PCT values might be of use in helping physicians to distinguish between cases of DRESS syndrome with and without concurrent infection or other causes of inflammation. Further prospective investigation is required to define the use of these inflammatory markers in the management of DRESS.
DOI: 10.17632/4khc6db5x6
title: Greek Implied Volatility Index (GRIV)

description: The dataset for Siriopoulos, C., & Fassas, A. (2012). An investor sentiment barometer—Greek implied volatility index (GRIV). Global Finance Journal, 23(2), 77-93.
DOI: 10.6084/m9.figshare.13172510.v1
title: Drivers for asynchronous patterns of dust accumulation in central and eastern Asia and in Greenland during the Last Glacial Maximum

description: Sheet 1: The 143 statistic OSL ages are collected from 22 loess sections from Central Asia.<br> Sheet 2: The OSL ages result with corresponding De values of all samples from Courtobe loess sections located in Tacheng Basin, China . OSL ages measured in the Institute of Earth environment, Chinese Academy of Sciences. A fine-grained (4-11μm) quartz single-aliquot regenerative-dose (SAR) protocol was used to measure them.<br>Sheet 3: The sedimentation rate of Courtobe and Xiaoerbulake loess section, obliquity, precession, the predictand of regression analysis, dust concentration from NGRIP ice core using GICC05 age scale, 30% LOWESS detrended of NGRIP dust concentration.
DOI: 10.6084/m9.figshare.20103794.v1
title: Data.xls

description: The dataset assesses post-COVID symptoms of recovered patients in Vietnam. The survey was designed to investigate the damages of COVID on the long-term health of the patients and factors associated with post-COVID symptoms. The survey included 18 items, in which 6 items explored the demographics of respondents, and the remaining 12 items evaluated clinical characteristics such as infection characteristics, the prevalence of post-COVID symptoms, and comorbidities. The online questionnaire was distributed directly in post-COVID-19 health examination sites. The data collection was completed from May 2022, including 17,093 respondents, of which 13,313 completed records were analyzed. This description of the dataset presents demographic characteristics of the survey sample and descriptive analysis of survey items. The dataset provides insights into the long-term effects of coronavirus to help researchers develop healthcare services and response strategies during a novel phase of the fight against COVID-19
DOI: 10.17632/tgfzbrh6hm
title: HERBVI - a program for simulation of baryon and lepton number violating processes

description: Abstract We describe a Monte Carlo event generator for the simulation of baryon- and lepton-number violating processes at supercolliders. The package, HERBVI, is designed as a hard-process generator interfacing to the general hadronic event simulation program HERWIG. In view of the very high multiplicity of gauge bosons expected in such processes, particular attention is paid to the efficient generation of multiparticle phase space. The program also takes account of the expected colour structure of ba... Title of program: HERBVI Catalogue Id: ADBT_v1_0 Nature of problem Simulation of baryon and lepton number violating processes with an associated large gauge boson multiplicity. Versions of this program held in the CPC repository in Mendeley Data ADBT_v1_0; HERBVI; 10.1016/0010-4655(95)00073-O This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.14531553.v1
title: Raw images

description: Images for publication Joint cell segmentation and cell type annotation for spatial transcriptomics
DOI: 10.6084/m9.figshare.26662375.v1
title: Data Anolis nebulosus.xlsx

description: Information corresponding to morphological characteristics of 15 populations of Anolis nebulosus in Mexico.
DOI: 10.6084/m9.figshare.10247501.v1
title: The SUSTech-SYSU dataset for automatically segmenting and classifying corneal ulcers

description: In this zip folder, all the original ocular staining images, the associated cornea labels, and the associated flaky ulcer segmentation labels (images with point-like corneal ulcers do not have such segmentation labels) are provided as three folders, named respectively as "rawImages", "corneaLabels", and "ulcerLabels" (Data Citation 1). Results of superimposing cornea and flaky corneal ulcer segmentation masks on the associated ocular staining images are also provided in the "corneaOverlay" and "ulcerOverlay" folders. In the "rawImages" folder, files are named as "n.jpg", with n ranging between 1 and 712 denoting the nth sample. All images in this folder are saved in the JPG format. The segmentation label images of the cornea and the flaky ulcer area are saved as binary images in the PNG format, having the same size as the corresponding ocular staining image. An excel file was also provided, with the first column denoting the sample ID, the second column denoting the general pattern category (0 to 2, with 0 representing a point-like corneal ulcer, 1 representing a point-flaky mixed corneal ulcer, and 2 representing a flaky corneal ulcer), the third column denoting the type grading (0 to 4), and the fourth column denoting the grade grading (0 to 4). Two videos respectively demonstrating the semi-automatic segmentation process and the subsequent manual correction process were also provided in the zip folder.
DOI: 10.6084/m9.figshare.12043245.v1
title: Data from the study

description: This is the data obtained from the study
DOI: 10.6084/m9.figshare.12644000.v3
title: Mutational Survivorship Bias: The case of PNKP

description: Data from the paper "Mutational Survivorship Bias: The case of PNKP"-PNKP Conservation Scores (ConSurf 2016)-PNKP gnomAD and Metadome server-Homology & HotSpot Analysis<br>
DOI: 10.6084/m9.figshare.14381888.v3
title: A Randomized Cluster Controlled Study of an Interactive Voice Response Intervention and PD/Hearth ("PDH") to Improve Knowledge, Behavior Change, and Level of Confidence in Caregivers of Underweight Children in Cambodia

description: Baseline and endine data collection tools and raw data from randomized control study of an interactive voice response intervention and Positive Deviance Hearth to improve knowledge, behavior change, and level of confidence in caregivers of underweight children in Cambodia.
DOI: 10.17632/ycw25mpjb6
title: Unassigned Mass Spectrometry Data for Machine Learning

description: The development of machine learning methods for the intelligent analysis of raw mass spec-trometric HPLC-MS/MS measurements without data preprocessing and identification seems promising. In this study, we tested the application of neural networks of two types, 1D-Residual CNN and 3D-CNN, to the combined metabolomic and proteomic HPLC-MS/MS data for the classification of three cancer phenotypes. Both neural networks are capable of classifying as gender-mixed oncological phenotypes (kidney cancer) as gender-specific phenotypes (ovarian cancer) and recognize healthy condition accuracy of 0.95 by analyzing ‘omics’ data in the ‘mgf’ data format. The neural network makes possible to determine their similarity degree (distance matrix) between submitted phenotypes, thus overcoming algorithmic barriers in identifying HPLC-MS/MS spectra. The closest distance was shown between ovarian cancer, kidney cancer, and prostate cancer/kidney cancer, whereas the healthy phenotype was the most outer from cancer phenotypes. Neural networks are versatile and can be applied to standard experimental data formats of different analytical platforms.
DOI: 10.17632/59vx8mp2k8
title: Diseño de un servicio de referencia virtual para el Sistema de Bibliotecas de la Universidad Cooperativa de Colombia.

description: El siguiente dataset contiene el instrumento de encuesta para usuarios, diseñado para el proyecto “Diseño de un servicio de referencia virtual para el Sistema de Bibliotecas de la Universidad Cooperativa de Colombia”, el cual se crea en función al ejercicio práctico realizado para el diplomado en producción cientifica, visibilidad e impacto social. Adicionalmente, contiene el listado de referencias utilizadas para el desarrollo del proyecto.
DOI: 10.6084/m9.figshare.21824832.v3
title: Silva-Junior et al 2023 DataSet.xlsx

description: Dataset for the project "<strong>Return to work after sick leave due to musculoskeletal disorders and injuries: a longitudinal study conducted in Brazil"</strong>
DOI: 10.6084/m9.figshare.28735655.v1
title: Supplementary Material for: Psychological validation of a standardized odor set for olfactory training

description: Introduction: Olfactory training is often used to recover function for olfactory disorders.
Methods: This study constructed two models incorporating three psychological dimensions (intensity, familiarity, and pleasantness) to psychologically validate the appropriateness of a standardized odor set (i.e., using the same odors for every patient): an average model using mean evaluation values and an individual model using individual evaluation values. We conducted an experiment in which 173 healthy participants evaluated the psychological dimensions of 32 everyday Japanese odors and then conducted principal component analysis using these psychological dimensions as observed variables to derive the score of the principal component with positive loadings of familiarity and pleasantness for each model as a composite indicator called the “good smell index” (GSI).
Results: The odor rankings between average and individual models show a significant strong correlation.
Conclusion: The result suggests that the average model reflects individual odor perception, supporting the psychological appropriateness of the standardized odor set. The average model may be also useful in selecting new candidate components for the standardized odor set; however, observations in healthy participants should be considered a tool to reinforce findings in clinical studies.
DOI: 10.6084/m9.figshare.7492202.v1
title: Norms Expanded, Clark & Paivio (2004b)

description: Expanded Norms for 2,311 Items"<br>reference_to_cite: "Clark, J. M., & Paivio, A. (2004). Extensions of the Paivio, Yuille, and Madigan (1968) norms. Behavior Research Methods, Instruments, and Computers, xx, xx-xx."<br>url_information: "Authors' website ( http://io.uwinnipeg.ca/~clark/cog/norms/cp2004.html )"<br>public_note: "Note 1. Imagery values for 925 items (PYM&gt;0) obtained from Paivio, A. U., Yuille, J. C., & Madigan, S. A. (1968). Concreteness, imagery, and meaningfulness values for 925 nouns. Journal of Experimental Psychology, 76(1, PT. 2), 1-25. Reprinted with permission of Allan Paivio and American Psychological Association."<br>
DOI: 10.6084/m9.figshare.19142348.v1
title: Frangieh et al. 2021

description: Perturb-CITE-seq co-culture experiment.
DOI: 10.6084/m9.figshare.28211718.v1
title: Raw data for figures 1-3 and tables S1-S3 from Hormetic response to pesticides in diapausing bees

description: Raw data_hormesis paper_Amsalem et al.xlsx
DOI: 10.6084/m9.figshare.3523493.v1
title: Appendix A. A table presenting the steps used to create a set of principal coordinates of neighbor matrices (PCNM) variables and a figure showing a schematic description of PCNM analysis.

description: A table presenting the steps used to create a set of principal coordinates of neighbor matrices (PCNM) variables and a figure showing a schematic description of PCNM analysis.
DOI: 10.6084/m9.figshare.1558320.v1
title: Sampling Plants using Quadrats in Grasslands

description: The data was collected at York University campus in the Danby Woods, on Tuesday, September 22, 2015 around 2:45-5:15pm. It was collected to determine the sample populations of grassland plants in that area. This dataset collected data using quadrats that are one meter by one meter in length. The quadrat was placed randomly on the ground 25 times in order to get a sample of the plant population of the entire grassland area. In order to get random areas of the entire grassland, a random number was chosen and the quadrat was placed down after that many steps were taken. The data that was recorded from each quadrat was the total abundances of plants, the total number of different species, the total cover of all vegetation, and total cover of grass. The total abundance and total number of species was determined by counting the individual plants. The total cover of vegetation and grass was determined by estimating the amount of area it covered relative to the area of the whole quadrat. The entire process of this dataset took around a 1 and ½ hour or so. The temperature was around 21-22°C. Group members include Katie, Katherine, Adam, Ava and I.
DOI: 10.6084/m9.figshare.20222724.v2
title: SuicideBD: A Suicidal Dataset for Bangladesh

description: This dataset contains individual details who committed suicide in Bangladesh during the Pandemic between February, 2020 to November, 2020. This dataset includes details of every individuals who committed suicide like personal details, family & social life, profession, financial condition, methods of committing suicide, location and weather info. The dataset is freely available. The major fields included in this dataset are: age group, age, gender, profession group, reason, method, suicide date & time, addiction status, mental status, economic condition, marital status, family details, academic qualification, weather. Apart from the above data this dataset also contains a CSV file of a Bengali wordcloud built on social media posts of the suicide victims. <br> <strong>The access to the dataset files is kept restricted. Fill up the below form (link in the References section) to request the data.</strong>
DOI: 10.6084/m9.figshare.25034600.v1
title: Matlab Code for EQ prediction for Whole Earth Example with 5 regions

description: Matlab Code for EQ prediction for Whole Earth Example with 5 regions. 5 Regions areIndia+BD+NepalChina+NeplaChiliJapanSumatra+Andaman
DOI: 10.17632/n5wxwncv6k
title: Data for: Weld defect frequency, size statistics and probabilistic models for ship structures

description: Detected weld defect collected as part of weld quality programme of two newbuilding cruise ships. The defects are detected by non-destructive testing. The data includes material thickness, hull area, NDT method used, type of defect and defect lengths. The joint are all butt joints.
DOI: 10.6084/m9.figshare.7785101.v1
title: Spirometry

description: Pulmonary function equations for Jordanians
DOI: 10.17632/25r9ccd7z2
title: VNet-T2 algorithm dataset

description: This repository contains the scripts used to develop the VNet-T2 and the ASM model for prostate segmentation in MRI images:
- Salvi M., De Santi B., Pop B., Bosco M., V. Giannini, D. Regge, Molinari F., and Meiburger K. M. , "Integration of deep learning and active shape models for more accurate prostate segmentation in 3D MR images", Journal of Imaging 2022 (DOI: 10.3390/jimaging8050133)

Abstract: Magnetic resonance imaging (MRI) has a growing role in the clinical workup of prostate cancer. However, manual three-dimensional (3D) segmentation of the prostate is a laborious and time-consuming task. In this scenario, the use of automated algorithms for prostate segmentation allows us to bypass the huge workload of physicians. In this work, we propose a fully automated hybrid approach for prostate gland segmentation in MR images using an initial segmentation of prostate volumes using a custom-made 3D deep network (VNet-T2), followed by refinement using an Active Shape Model (ASM). While the deep network focuses on three-dimensional spatial coherence of the shape, the ASM relies on local image information and this joint effort allows for improved segmentation of the organ contours. Our method is developed and tested on a dataset composed of T2-weighted (T2w) MRI prostatic volumes of 60 male patients. In the test set, the proposed method shows excellent segmentation performance, achieving a mean dice score and Hausdorff distance of 0.851 and 7.55 mm, respectively. In the future, this algorithm could serve as an enabling technology for the development of computer-aided systems for prostate cancer characterization in MR imaging.
DOI: 10.17632/9rg2gcvh7k
title: Dataset on the Green Vehicle Adoption Among Road Users in Malaysia

description: The data were collected from 385 road users who are in Kuala Lumpur using a self-administered questionnaire. However, some data cleaning were run and only 367 samples were used for the data set. The sample was collected from the respondent who has reached the age of 18 years old, living and working in an urban area with a full driving license obtained. A set of questionnaires was design to collect the data using an online platform and various social media. A judgmental sampling method was used in the data collection procedure as using this technique, the relevant information from the unit of the study is easily obtained. The data utilize descriptive analysis and inferential analysis. This approach provides and insights to further understand the nature and usefulness of the data to various stakeholders including urban transport planners and transport industry players.
DOI: 10.6084/m9.figshare.24596058.v1
title: Supplemental data

description: The dataset for the article "The current utilization status of wearable devices in clinical research".Analyses were performed by utilizing the JMP Pro 16.10, Microsoft Excel for Mac version 16 (Microsoft).The file extension "jrp" is a file of the statistical analysis software JMP, which contains both the analysis code and the data set.In case JMP is not available, a "csv" file as a data set and JMP script, the analysis code, are prepared in "rtf" format.The "xlsx" file is a Microsoft Excel file that contains the data set and the data plotted or tabulated using Microsoft Excel functions.<b>Supplementary Figure 1. NCT number duplication frequency</b>Includes Excel file used to create the figure (Supplemental Figure 1).・Sfig1_NCT number duplication frequency.xlsx<br><b>Supplementary Figure 2-5　</b><b>Simple and annual time series aggregation</b>Includes Excel file, JMP repo file, csv dataset of JMP repo file and JMP scripts used to create the figure (Supplementary Figures 2-5).・Sfig2-5 Annual time series aggregation.xlsx・Sfig2 Study Type.jrp・Sfig4device type.jrp・Sfig3 Interventions Type.jrp・Sfig5Conditions type.jrp・Sfig2, 3 ,5_database.csv・Sfig2_JMP script_Study type.rtf・Sfig3_JMP script Interventions type.rtf・Sfig5_JMP script Conditions type.rtf・Sfig4_dataset.csv・Sfig4_JMP script_device type.rtf<br><b>Supplementary Figures 6-11 Mosaic diagram of intervention by condition</b><b>Supplementary tables 4-9 Analysis of contingency table for intervention by condition </b>JMP repot files used to create the figures(Supplementary Figures 6-11 ) and tables(Supplementary Tablea 4-9) , including the csv dataset of JMP repot files and JMP scripts.・Sfig6-11 Stable4-9 Intervention devicetype_conditions.jrp・Sfig6-11_Stable4-9_dataset.csv・Sfig6-11_Stable4-9_JMP script.rtf<br><b>Supplementary Figure 12. Distribution of enrollment</b>Includes Excel file, JMP repo file, csv dataset of JMP repo file and JMP scripts used to create the figure (Supplementary Figures 12).・Sfig12_Distribution of enrollment.jrp・Sfig12_Distribution of enrollment.csv・Sfig12_JMP script.rtf
DOI: 10.6084/m9.figshare.4543435.v4
title: A public data set of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics

description: The data set comprises raw and processed lower extremity gait kinematics and kinetics signals of 28 subjects in different file formats (c3d and txt). A file of metadata (in txt and xls formats), including demographics, running characteristics, foot-strike patterns, and muscle strength and flexibility measurements is provided. In addition, a model file (mdh) and a pipeline file (v3s) for the Visual 3D software program are also provided.The data were collected using a three-dimensional (3D) motion-capture system and an instrumented treadmill while the subjects ran at 2.5 m/s, 3.5 m/s, and 4.5 m/s wearing standard neutral shoes.<br>
DOI: 10.6084/m9.figshare.1132677.v1
title: Part 1: Elsevier articles summary files

description: This file contains one XML summary file for each Elsevier article. The XML contains metadata about the article as well as all extracted URIs. As per Elsevier TDM policy, the files can only be re-used for non-commercial purposes.
DOI: 10.6084/m9.figshare.13010063.v1
title: Mass spectrometry on tRNAs from Tet1/2/3 tKO mESCs rescued with TET2 WT or catalytic mutant (HxD) and control (GFP)

description: Mass spectrometry analysis on tRNAs gel purified from Tet1/2/3 triple KO mouse embryonic stem cells after transient transfection of TET2 catalytic fragment wild type (WT), catalytic mutant (HxD), or a GFP as a negative control. As shown in Fig. 4D of "<i>TET2 chemically modifies tRNAs and regulates tRNA fragment levels</i>" by He et al.
DOI: 10.6084/m9.figshare.1407422.v1
title: Alismatales plastid alignments

description: Concatenated alignment for Ross et al. article, 'Plastid phylogenomics and molecular evolution of Alismatales', submitted to Cladistics.<br>This version include ndh pseudogenes in relevant taxa.