cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ghw9rxx4nc
title: The relationship between inflation rates and non-renewable energy prices: from geopolitical risk index perspective in Turkey.

description: The file includes data from January 2005 to December 2022, using monthly data sourced from reputable providers. for the following variables:
Inflation Rates, Geopolitical Risk, Oil Price, Exchange Rate, and the Industrial Production Index.
DOI: 10.17632/z9d3hw9szy
title: Dataset: Tensile experimental data from monotonic loading on connections to concrete filled steel tubes using Extended Hollo-bolt blind bolts

description: This dataset includes text files for 28 tensile experimental results, and images recorded during testing for each specimen.
DOI: 10.17632/p6x5m5hy8c
title: 68Ga-DOTATOC PET/MR imaging and radiomic parameters in predicting histopathological prognostic factors in patients with pancreatic neuroendocrine well-differentiated tumours

description: Purpose: To explore the role of fully hybrid 68Ga-DOTATOC PET/MR imaging and radiomic parameters in predicting histopathological prognostic factors in patients with pancreatic neuroendocrine tumours (PanNETs) undergoing surgery.

Methods: One hundred eighty-seven consecutive 68Ga-DOTATOC PET/MRI scans (March 2018-June 2020) performed for gastroenteropancreatic neuroendocrine tumour were retrospectively evaluated; 16/187 patients met the eligibility criteria (68Ga-DOTATOC PET/MRI for preoperative staging of PanNET and availability of histological data). PET/MR scans were qualitatively and quantitatively interpreted, and the following imaging parameters were derived: PET-derived SUVmax, SUVmean, somatostatin receptor density (SRD), total lesion somatostatin receptor density (TLSRD), and MRI-derived apparent diffusion coefficient (ADC), arterial and late enhancement, necrosis, cystic degeneration, and maximum diameter. Additionally, first-, second-, and higher-order radiomic parameters were extracted from both PET and MRI scans. Correlations with several PanNETs' histopathological prognostic factors were evaluated using Spearman's coefficient, while the area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to evaluate parameters' predictive performance.

Results: Primary tumour was detected in all 16 patients (15/16 by 68Ga-DOTATOC PET and 16/16 by MRI). SUVmax and SUVmean resulted good predictors of lymphnodal (LN) involvement (AUC of 0.850 and 0.783, respectively). Second-order radiomic parameters GrayLevelVariance and HighGrayLevelZoneEmphasis extracted from T2 MRI demonstrated significant correlations with LN involvement (adjusted p = 0.009), also showing good predictive performance (AUC = 0.992).

Conclusion: This study demonstrates the role of the fully hybrid PET/MRI tool for the synergic function of imaging parameters extracted by the two modalities and highlights the potentiality of imaging and radiomic parameters in assessing histopathological features of PanNET aggressiveness.
DOI: 10.17632/ttmgw6rjct
title: COL7A1 Ex3 RNP HDR approach NGS data

description: NGS data for primary WT as wells as primary and immortalized RDEB keratinocytes treated with RNPs in combination with HDR templates. Also includes off-target analysis data and hypothermic treatment data.
DOI: 10.17632/7wc98dc9gd
title: Supplemental Information for Article JDS 19790
DOI: 10.17632/nbwzz92s2w
title: Data for: Plasma Nanotechnology for Controlling Chemical and Physical Properties of Organosilicon Nanocoatings

description: The data contains nanoindentation measurements and elliposmtric spectra.
DOI: 10.17632/h6ygz8zzzg
title: Hermes - an optical model search program including tensor potentials for projectile spins 0 to 3/2

description: Title of program: HERMES Catalogue Id: ABPM_v1_0 Nature of problem The optical model program HERMES calculates cross sections, vector and tensor analysing powers for the elastic scattering of spin 0 to 3/2 projectiles from spin 0 targets, where the optical potential may consist of central, spin-orbit and tensor parts. All possible ranks k of analyzing powers and tensor potentials are included, where 0
DOI: 10.17632/hxg7jyh2dc
title: Data set of paper QUANTIFYING MAXIMUM LIMITS FOR REACTIVE POWER FLEXIBILITY PROVISION IN ENERGY COMMUNITIES

description: Data file of the paper 
QUANTIFYING MAXIMUM LIMITS FOR REACTIVE POWER FLEXIBILITY PROVISION IN ENERGY COMMUNITIES: A CASE STUDY OF A REAL DISTRIBUTION POWER NETWORK
by Tohid HARIGHI *, Alberto BORGHETTI, Stefano LILLA, Carlo Alberto NUCCI, Adriano CALZOLARI, Marco SALICINI, Caterina CERCOLANI
DOI: 10.17632/vn5nknh3mn
title: ECSMP: A Dataset on Emotion, Cognition, Sleep, and Multi-model Physiological Signals

description: This paper described the collection of multi-modal physiological signals, which include electroencephalography, electrocardiograph (ECG), photoplethysmography, electrodermal activity, temperature, and accelerometer data, recorded from 89 healthy college students during resting state, the emotion induction and recovery, and a set of cognitive function assessment tasks. Emotion, sleep, cognition, depression, mood, and other factors were evaluated through different methods, and were included in this dataset. Six emotions (neutral, fear, sad, happy, anger, and disgust) were induced by movie clips. The cognitive functions such as sustained attention, response inhibition, working memory, and strategy use, were quantitatively measured by Cambridge neuropsychological test automatic battery. The sleep ECG was collected the night before the emotion-induction experiment, and the sleep quality was analysed based on the sleep ECG. After the experiment, the participants were required to fill in questionnaires to evaluate the emotion regulation strategies, depression score, recent mood, and sleep quality index. The database can not only be directly used for the research of emotion recognition on multi-modal physiological signals, but also can further explore the interactions between emotion, cognition, and sleep.
DOI: 10.17632/9k9n2sf8sk
title: Dataset of Knowledge Retention and Learning Satisfaction in Patient-Nurses Safety

description: This dataset originates from a quasi-experimental study investigating the impact of a structured patient-nurse safety lecture as an intervention. The study compares two delivery methods: physical in-person lectures (control group) and structured pre-recorded lectures. The outcomes assessed were knowledge retention and student satisfaction scores, measured at four-time points: baseline, immediately after the lecture, at a 1-week interval, and at a 2-week interval. Data were collected online using a structured questionnaire from 110 undergraduate nursing students at a public university on the West Coast of Sabah, Malaysia, between April and December 2024. The dataset includes responses to the 10-item Patient-Nurse Safety Knowledge (10-PNS) questionnaire and the 18-item Student Satisfaction with teaching methods questionnaire. Both instruments were administered in English and designed for online use.
DOI: 10.17632/tcd84s547h
title: Computer program TRACK_VISION for simulating optical appearance of etched tracks in CR-39 nuclear track detectors

description: Abstract A computer program called TRACK_VISION for determining the optical appearances of tracks in nuclear track materials resulted from light-ion irradiation and subsequent chemical etching was described. A previously published software, TRACK_TEST, was the starting point for the present software TRACK_VISION, which contained TRACK_TEST as its subset. The programming steps were outlined. Descriptions of the program were given, including the built-in V functions for the commonly employed nuclear tra... Title of program: TRACK_VISION Catalogue Id: AEAF_v1_0 Nature of problem Nuclear track detectors are commonly used for radon measurements through studying the tracks generated by the incident alpha particles. Optical microscopes are often used for this purpose but the process is relatively tedious and time consuming. Several automatic and semi-automatic systems have been developed in order to facilitate determination of track densities. In all these automatic systems, the optical appearance of the tracks is important. However, not much has been done so far to obtaini ... Versions of this program held in the CPC repository in Mendeley Data AEAF_v1_0; TRACK_VISION; 10.1016/j.cpc.2007.11.011 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/278sjwfntb
title: The Association of Seborrheic Dermatitis and Parkinson's Disease - JAAD Supplement

description: Supplemental material for manuscript entitled "The association of seborrheic dermatitis and Parkinson’s disease: a cross-sectional study"

The community assessment scale that we developed for seborrheic dermatitis, the CSHNASI, is featured in this material.
DOI: 10.6084/m9.figshare.21261771.v1
title: Data and Code for "Coexistence times in Moran process with environmental heterogeneity"

description: Data and Code for "Coexistence times in Moran process with environmental heterogeneity": Python scripts used to compute the data and Mathematica notebooks used to produce the plots.
DOI: 10.17632/ms5x8hnmg4
title: Active Thermography of Simulated Plates

description: For this dataset, a scenario was simulated using COMSOL 5.6 software where multiple plates with different materials and shapes were heated during a plate inspection using an external stimulation unit. The plates contain various defects of different sizes and shapes, placed in different depths. The thermal images of the heating and cooling process were exported during the execution. The dataset contains a total of 12 different experiments on plates with three different shapes and five materials. 

--->
In case of using this dataset, please cite the papers listed in our Github repo:
https://github.com/parham/thermal-segmentor
DOI: 10.6084/m9.figshare.16592787.v1
title: Relicts of Paleoproterozoic LIPs in the Belomorian province, eastern Fennoscandian Shield: barcode reconstruction for a deeply eroded collisional orogen

description: Table S1. Data on chemical composition of Paleoproterozoic mafic dykes and 20 intrusions in the Belomorian Province
DOI: 10.17632/58cddtpnk8
title: Anexos del contrato de concesión con Ferrovías S.A., decreto n° 167/2001

description: Anexos del contrato de concesión con Ferrovías S.A. con sus addendas, aprobado mediante decreto n° 167/2001
DOI: 10.17632/yh9yyh3z3m
title: milk fatty acids

description: % of fatty acids in milk sample from dairy cattle in Galicia (NW Spain)
DOI: 10.17632/wvzz6hbttg
title: Seurat objects for multiome analysis of neuroblastoma cell lines - 1/4

description: RDS files containing processed Seurat objects for multiome analysis of neuroblastoma cell lines. File names reflect the cell line.
DOI: 10.17632/g78wkskx9v
title: the paegent industry influence on global culture

description: The pageant industry has emerged as a powerful cultural force with far-reaching effects on global society. This paper explores the multifaceted impact of beauty pageants and related events on shaping and reflecting cultural norms, values, and perceptions worldwide. By analyzing the industry's historical development and contemporary significance, this study sheds light on its role as a platform for cultural exchange, empowerment, and the propagation of beauty ideals.

The historical evolution of beauty pageants reveals their roots in early beauty contests and cultural showcases, evolving over time into grand international spectacles. These pageants have become influential stages for contestants to represent their countries and celebrate their cultural heritage. The study investigates how pageants serve as opportunities for diverse cultures to interact, fostering cross-cultural understanding and appreciation.

Moreover, the pageant industry significantly influences societal notions of beauty and femininity. By showcasing contestants who embody conventional beauty standards, pageants can perpetuate narrow beauty ideals, impacting body image perceptions and self-esteem globally. Concurrently, there is a growing movement within the industry to promote body positivity and inclusivity, challenging traditional beauty norms and celebrating diverse representations of beauty.

Additionally, beauty pageants often extend their impact beyond the runway through charitable endeavors and advocacy campaigns. Contestants frequently champion social causes and raise awareness about critical issues, making a positive impact on global challenges such as gender equality, education, and environmental sustainability.

The paper also examines the economic influence of the pageant industry, which generates substantial revenue through sponsorships, tourism, and media coverage. Hosting international pageants draws attention to the host country, stimulating local economies and tourism industries.

Furthermore, the rise of social media has amplified the industry's impact on global culture. Pageants now reach broader audiences, influencing societal trends and beauty standards on a global scale. The study analyzes how digital platforms have transformed pageant participation, promotion, and audience engagement, impacting cultural perspectives worldwide.
DOI: 10.17632/vd5phjrkxm
title: Data for: Cryptocurrency Accepting Venues, Investor Attention, and Volatility

description: Data for: Cryptocurrency Accepting Venues, Investor Attention, and Volatility
DOI: 10.17632/63jv93wcn3
title: Replication folder for the paper 'Fiscal policy and government bond yields: New evidence from the EU'

description: This replication folder provides the codes and data to replicate the results of the paper entitled 'Fiscal policy and government bond yields: New evidence from the EU'. The README.PDF file contains the description of the data and the necessary instructions how to run the replication codes.

This work was supported by the National Science Centre, Poland (Narodowe Centrum Nauki) – Grant number: 2018/29/B/HS4/00737.
DOI: 10.17632/w42p9p7hpz
title: Data for "Geographic range size predicts butterfly species’ tolerance to heavy metals more than evolutionary history with toxic larval diets"

description: This DOI contains (1) a database of studies of Ames test screens for mutagenicity of plant extracts and (2) mean values for range size, mutagenicity, and metal loads for butterfly species in the study. 

ABSTRACT as appears in associated paper:
Some organisms appear to thrive in contaminated environments, while others are more sensitive, though causes of this variation are unclear. The toxin coevolution hypothesis posits that an evolutionary history with natural toxins preadapts species to deal with novel toxins, while the range-size-tolerance hypothesis posits that a larger geographic range selects for broader tolerance to stressors. Butterflies are a prime system to investigate these hypotheses because they are diverse, feed on a range of larval host plants that vary in defensive compounds, and many are found in polluted environments. We ask how these hypotheses explain varying tolerance to heavy metal pollution, measured here as loads of four heavy metals along an urban gradient of metal exposure. We compared 26 butterfly species that vary in their evolutionary history with mutagenic plant defensive chemicals as well as their geographic range size. We built a dataset of plant mutagenicity synthesizing forty years of standardized mutagenicity screening in plants, including 502 plant species of 103 families within 37 orders. We used this dataset, coupled with butterfly host records, to estimate evolutionary history with mutagens. We found that butterfly species with larger ranges tolerated significantly greater concentrations of lead, arsenic and cadmium in their tissues. Additionally, species with a history of feeding on relatively more mutagenic host plant families tolerated greater maximum lead concentrations in their thoracic tissue. This research provides additional support for the growing observation that small-ranged species are more vulnerable to environmental change, in this case, metal pollution. In addition, an evolutionary history with mutagenic host plants may provide some additional resilience, although less than geographic range size. In addition, our dataset on comparative plant mutagenicity will facilitate future research on plant-herbivore coevolution, in fields such as chemical, community, and urban ecology.
DOI: 10.17632/ftz87pkvfx
title: How students leverage assignment submission flexibility — a case study.

description: Raw data used for generating each corresponding figure from the manuscript entitled "How students leverage assignment submission flexibility — a case study."

Manuscript Abstract: Recent pedagogical trends in post-secondary education focus on how providing students with greater autonomy through assignment submission flexibility offers benefits ranging from increased learning to stress reduction. Unfortunately, the relationship between submission flexibility and any specific benefit is not firmly established. One explanation for this is a potential misalignment between anticipated benefits and an understanding of how most students leverage extended opportunities for assignment completion. The goal of this study was to investigate the relationship between assignment submission flexibility and how students used the opportunity. Quantitative evidence reveals that most students routinely maximized the time taken before submitting assignments. This occurred independent of assignment type, teaching modality, or the duration assignment availability. The results support a conclusion that most students do not capitalize on increased flexibility to meet the demands of their unique schedules. Instead, they appear to adapt their schedules to submit assignments shortly before a perceived deadline.

Calculations: 
Elapsed opportunity window — Filemaker was used to calculate an elapsed opportunity window (EOW) for each assignment type. To do so, the difference between the assignment submission and the due timestamps was divided by the difference between the availability and due timestamps. Filemaker was then used to format and export data for histogram generation using ggplot2 (https://ggplot2.tidyverse.org/), a data visualization package for the open source R programming language (https://www.r-project.org/). All statistical analysis was performed with rstatix (https://cran.r-project.org/web/packages/rstatix/index.html), a framework for basic statistical tests.
DOI: 10.6084/m9.figshare.3370627.v2
title: From Impressionism to Expressionism: Automatically Identifying Van Gogh's Paintings

description: This is the dataset <b>VGDB-2016</b> built for the paper "From Impressionism to Expressionism: Automatically Identifying Van Gogh's Paintings", which has been published on the 23rd IEEE International Conference on Image Processing (ICIP 2016).<br>The paper is available at IEEE Xplore:https://dx.doi.org/10.1109/icip.2016.7532335<br>The source code is available at GitHub:https://github.com/gfolego/vangogh<br>Corresponding author:Anderson Rocha (anderson.rocha@ic.unicamp.br)<br><br>If you find this work useful in your research, please cite the paper! :-)<br>@InProceedings{folego2016vangogh, author = {Guilherme Folego and Otavio Gomes and Anderson Rocha}, booktitle = {2016 IEEE International Conference on Image Processing (ICIP)}, title = {From Impressionism to Expressionism: Automatically Identifying Van Gogh's Paintings}, year = {2016}, month = {Sept}, pages = {141--145}, keywords = {Art;Feature extraction;Painting;Support vector machines;Testing;Training;Visualization;CNN-based authorship attribution;Painter attribution;Data-driven painting characterization}, doi = {10.1109/icip.2016.7532335}}
DOI: 10.6084/m9.figshare.5554606.v1
title: Experiment HaLT-SubjectG-160322-6States

description: Experiment in which subject performed 6 imageries of left and right hand motion, left and right leg motion, tongue motion, and a passive state.
DOI: 10.17632/vckdnhtw26
title: BUSC Dataset

description: The Mendeley ultrasound dataset [1] includes 100 benign images and 150 malignant cancer images. The original resolution of ultrasound images is 64 × 64 pixels, later in our research [2] transformed into 128 × 128 pixels. This dataset is basically classification-based dataset, and no ground truth images are provided. Therefore, with the help of an experienced radiologist, benign and malignant tumor images are annotated for segmentation task.

If you use this dataset, Please cite:

[1] Rodrigues, Paulo Sergio (2017), "Breast Ultrasound Image", Mendeley Data, V1, doi: 10.17632/wmy84gzngw.1

[2] Ahmed Iqbal, Muhammad Sharif, "PDF-UNet: A semi-supervised method for segmentation of breast tumor images using a U-shaped pyramid-dilated network", Expert Systems with Applications, 2023. https://doi.org/10.1016/j.eswa.2023.119718
DOI: 10.6084/m9.figshare.28936889.v1
title: Supplementary Material for: Co-developed logic model for surgical prehabilitation in an acute care setting: a qualitative study of stakeholders’ perspectives

description: Background: Prehabilitation programs treat modifiable risk factors to improve surgical outcomes. However, translation of research into practice remains slow. Logic models, visual representations of how a program works, have the potential to bridge research-to-practice gaps. We aimed to develop a logic model for prehabilitation programs in tertiary care centers by interviewing stakeholders about what should be the mission, inputs, outputs (activities and participants), and targeted outcomes for prehabilitation implementation and evaluation? Methods: A multi-site qualitative study was conducted. Interviews were analyzed using manifest summative content analysis to determine logic model items. Focus groups for member checking were performed with stakeholders throughout the analysis process. Results: Sixty-one interviews were conducted with stakeholders: prehabilitation staff (n=12), patients (n=10), perioperative care physicians (n=10), nurses (n=9), dietitians (n=9), physiotherapists (n=5), and hospital administrators (n=6). Our findings underscored unanimous support for prehabilitation yet revealed challenges that hindered efficient and equitable resource utilization, which have been addressed in the logic model. To evaluate the success of prehabilitation, both clinician- (n=44) and patient-oriented outcomes (n=32) were valued by stakeholders; however, priority outcomes varied by stakeholder group: intervention adherence (prehabilitation staff), experience and satisfaction (patients), and facilitation of discharge (clinicians and hospital administrators). 
Conclusion: This co-developed logic model is designed to improve the efficiency, accessibility, and sustainability of acute care prehabilitation programs by offering a detailed blueprint. Researchers and clinicians can draw on the insights from this co-production process to develop, implement, and evaluate their own prehabilitation programs.