cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/n7xzp8c9ks.1
title: Effect of zoledronic acid on the vertebral body bone mineral density after instrumented intervertebral fusion in postmenopausal women with osteoporosis

description: This study evaluated the effect of anti-osteoporosis treatment with intravenous zoledronic acid during the perioperative period, on the adjacent vertebral body bone mineral density (BMD) after spinal fusion surgery in postmenopausal women with osteoporosis. All data were collected retrospectively from patients' medical records using standardized forms, including: demographics (age, BMI, years since menopause); surgical details of levels included (fusion level and cephalad levels); and BMD values. BMD values (g/cm2) were recorded for the overall lumbar spine, for the levels cephalad to the fused segments, and the femoral neck. The group 0 represents the treated group and group 1 represents the untreated group. The table 1 shows the data about the description of demographic and surgery information of treated group and untreated group. Additionally, the table 2 shows the information about cephalad adjacent vertebral and femoral neck BMD value change. The conclusion shows that perioperative zoledronic acid treatment may offer protection against a significant decrease in BMD of cephalad vertebrae after spinal fusion surgery among postmenopausal women with osteoporosis.
DOI: 10.17632/vh5grc6y7f.1
title: Data on the effect of particle size, porosity and discharging rate on the performance of lithium-ion battery with NMC 622 cathode through numerical analysis

description: This is the data of a published paper that explains the effect of some design parameters on the performance of Ni-rich based cathode lithium-ion battery
DOI: 10.17632/m5mvnm8cbw.1
title: The dataset for article 6,000-yr reconstruction of Modified Circumpolar Deep Water intrusion and its effects on sea ice and penguin in the Ross Sea

description: The radiocarbon dating results and Cd/P ratios for the selected subsamples from 13 ornithogenic sediment profiles in Inexpressible Island
DOI: 10.17632/bj763cn9tj.1
title: Ba isotope compositions of Cenozoic volcanic rocks in eastern China

description: This dataset includes Major, trace and Sr-Nd-Ba isotope compositions of Cenozoic volcanic rocks in eastern China
DOI: 10.17632/5r5jyjbykj.1
title: Dataset_Env Technology

description: This data was gathered from an environmental sensor using a luciferase reporter to track nitrate in estuarine waters of Narraganset Bay. Included are sensor readings from the bioreporter sensor for different KNO2 nitrate standards. A second sheet includes data produced from a wavelet analysis of a low concentration sample. The objective of this study was to find a low cost method of analyzing nitrate in estuarine systems that could be scaled up effectively for use in environmental systems.
DOI: 10.17632/9dmts2652x.1
title: Profiling SARS-CoV-2 HLA-I peptidome reveals T cell epitopes from out-of-frame ORFs

description: Supplemental Tables related to the manuscript entitled: Profiling SARS-CoV-2 HLA-I peptidome reveals T cell epitopes from out-of-frame ORFs Summary: T cell-mediated immunity plays an important role in controlling SARS-CoV-2 infection; yet the repertoire of naturally processed and presented viral epitopes on HLA class I remains uncharacterized. Here, we report the first HLA-I immunopeptidome of SARS-CoV-2 in two cell lines at different times post-infection using mass spectrometry. We found HLA-I peptides derived not only from canonical ORFs, but also from internal out-of-frame ORFs in Spike and Nucleocapsid not captured by current vaccines. Some peptides from out-of-frame ORFs elicited T cell responses in a humanized mouse model and COVID-19 patients that exceeded responses to canonical peptides including some of the strongest epitopes reported to date. Whole proteome analysis of infected cells revealed that early expressed viral proteins contribute more to HLA-I presentation and immunogenicity. These biological insights as well as the discovery of out-of-frame ORF epitopes will facilitate selection of peptides for immune monitoring and vaccine development.
DOI: 10.17632/mhx3p7w3d6.3
title: Perceptions and opinions on the COVID-19 pandemic in Flanders, Belgium: Data from a five-wave longitudinal study

description: During the COVID-19 pandemic, people have become increasingly fearful of the disease as death tolls rise, while governments attempt to combat it by installing restrictive measures. News media play a vital role as they are the main sources from which people gather information regarding the disease and the public health measures. The present longitudinal data reflect a bird’s eye view of people’s fears towards getting ill, their news media consumption, and their attitudes regarding the (Belgian) government’s handling of the COVID-19 crisis. Data were collected at three key moments in the pandemic among adults in Flanders, Belgium: in the middle of March (when the first restrictive measures went into effect; N = 1,000), early April (as hospital admissions and death toll peaked; N = 870), and at the end of May and beginning of June (as several measures were lifted or relaxed; N = 768). With only 23.2% drop-out across the three waves, these data may be of interest to researchers who wish to explore dynamics of fear and attitudes towards public health measures during this particularly challenging time.
DOI: 10.17632/cwbdnmjmk5.1
title: NADK is activated by oncogenic signaling to sustain pancreatic ductal adenocarcinoma. Schild et al.
DOI: 10.6084/m9.figshare.8796677
title: datasets.tar.gz

description: It is a dataset based on defect4j, bugs-dot-jar, BugSwarm and the extended dataset from ye[fse'14]. <br><br>Change log:<br>--------<br>Add BugSwarm. The source code is moved to github.com/GINN-Imp/NeurSA.<br>---------<br>Add source code.
DOI: 10.6084/m9.figshare.8796677.v2
title: datasets.tar.gz

description: It is a dataset with defect4j, bugs-dot-jar and the extended dataset from ye[fse'14]. <br><br>Change log:Add source code.
DOI: 10.6084/m9.figshare.14386754.v1
title: Dataset on the impact of lottery-based incentives on engagement levels of low-SES vocational students in a health promotion context

description: `0-list-of-variables.pdf` includes an overview of different variables within the dataset.<br>`1a-intervention-data.csv` includes data that was recorded from the intervention mHealth tool.<br>`1b-survey-data.csv` includes data that was recorded form a post-test survey.
DOI: 10.6084/m9.figshare.14716491
title: Supplementary Material for: Metabolic Dynamics in the Prefrontal Cortex during a Working Memory Task in Young Adult Smokers

description: <b><i>Introduction:</i></b> Cigarette smoking is known to modulate brain metabolism and brain function. How the dynamics of these metabolic alterations influence the active performance of higher order cognitive tasks in smokers, compared to non-smokers, is still unclear. The present exploratory study sought to examine the impact of smoking on the “complete” metabolic profile while the participants performed a working memory (N-back) task. <b><i>Methods:</i></b> The study sample consisted of 40 young male healthy participants (smokers [<i>n</i> = 20] and non-smokers [<i>n</i> = 20]). Functional magnetic resonance spectroscopy data were acquired using a 3 T whole-body MR system. Data analysis was performed using Java-based Magnetic Resonance User Interface software, and metabolite ratios with respect to creatine (Cr) were calculated. <b><i>Results:</i></b> On a behavioural level, smokers showed worse performance (measured by d’) than non-smokers. However, we observed significant differences in the metabolite concentrations in smokers compared to non-smokers, which also changed over the course of the N-back task. A significant effect of the group was observed with smokers showing lower glutamate/Cr (Glx/Cr) and choline/Cr (Cho/Cr) ratios than non-smokers. Further, N-acetyl aspartate (NAA/Cr) and Cho/Cr ratios were significantly different during the rest and the task conditions. In addition, our results demonstrated the metabolite interactions (NAA and Cho, Glx and myo-inositol [mI], and Cho and mI). <b><i>Conclusion:</i></b> Further studies are necessary to shed more light on the association between smoking behaviours and metabolic alterations. However, our preliminary findings would assist in this future research to have a complete understanding of the metabolite interactions not only in smoking but also in addiction research.
DOI: 10.6084/m9.figshare.14386754.v2
title: Supplementary material: Exploration of the impact of anticipated regret in lottery-basedincentives on engagement levels of low-SES vocational studentsin a health promotion context

description: Public health literature has shown that individuals with lower socioeconomic status (SES) are generally less physically active and adhere to poorer diets than higher SES individuals. To promote healthier lifestyles in lower SES populations, we hosted a digital health promotion program among first- and second-year, vocational students at a school in The Netherlands. Particularly, in a pilot we evaluated whether this target audience could be engaged with an mHealth application using lottery-based incentives that trigger feelings of anticipated regret. Especially, we have studied the social and interpersonal aspects of regret lotteries in a within-subject experimental design. Additionally, we have studied the impact of varying payout schedules in terms of timing and monetary value in a between-subject experimental design. Results from a sample of 36 students between 15 and 25 years of age provided initial insights into effective configuration of lottery-based incentives that trigger feelings of anticipated regret to promote healthier lifestyles among lower SES vocational students. Particularly, implementation of incentives that include social, interpersonal, and competitive aspects are promising to foster user engagement levels. Furthermore, it was found that varying payout schedules may further promote engagement levels, although optimal configurations have still to be determined.<br><br><b>List of files</b><br>`0-intervention-design.pdf` includes visualisations of the mHealth application.<br><br>`0-list-of-variables.pdf` includes an overview of different variables within the dataset.<br>`1a-intervention-data.csv` includes data that was recorded from the intervention mHealth tool.<br>`1b-survey-data.csv` includes data that was recorded form a post-test survey.
DOI: 10.6084/m9.figshare.14716320
title: Supplementary Material for: Qi Ling Inhibits Progression of Androgen-Independent Prostate Cancer via Negative Regulation of TRIM66/HP1γ/AR Axis

description: <b><i>Aim:</i></b> This study aimed to understand the molecular mechanism underlying the therapeutic effect of Qi Ling (QL) against androgen-independent prostate cancer. <b><i>Methods:</i></b> The relative expression of TRIM66 in prostate tumor was interrogated by microarray. Real-time polymerase chain reaction and Western blotting were performed to determine the transcript abundances and protein expressions of TRIM66, HP1γ, AR, c-Myc, and GAPDH. Cell proliferation and apoptosis were analyzed by cell counting kit-8 method and flow cytometry. The regulatory action of c-Myc on TRIM66 was interrogated with luciferase reporter plasmid and the direct binding was demonstrated by chromatin immunoprecipitation. The secretory prostate-specific antigen was quantified by enzyme-linked immunosorbent assay. <b><i>Results:</i></b> TRIM66 was aberrantly overexpressed in prostate cancer and associated with unfavorable prognosis. TRIM66/HP1γ/AR was upregulated during the androgen-independent transition in hormone-deprived medium. The TRIM66 level positively linked to cell proliferation and negatively linked to cell apoptosis in androgen-independent prostate cancer cells. QL treatment specifically inhibited c-Myc and therefore directly downregulated TRIM66 via binding to its promoter. Ectopic introduction of TRIM66 significantly reversed the anti-tumor effects of QL against androgen-independent prostate cancer. <b><i>Conclusion:</i></b> Our study uncovered the importance of downregulated TRIM66/HP1γ/AR signaling in mediating the anti-tumor properties of QL.
DOI: 10.6084/m9.figshare.14716320.v1
title: Supplementary Material for: Qi Ling Inhibits Progression of Androgen-Independent Prostate Cancer via Negative Regulation of TRIM66/HP1γ/AR Axis

description: <b><i>Aim:</i></b> This study aimed to understand the molecular mechanism underlying the therapeutic effect of Qi Ling (QL) against androgen-independent prostate cancer. <b><i>Methods:</i></b> The relative expression of TRIM66 in prostate tumor was interrogated by microarray. Real-time polymerase chain reaction and Western blotting were performed to determine the transcript abundances and protein expressions of TRIM66, HP1γ, AR, c-Myc, and GAPDH. Cell proliferation and apoptosis were analyzed by cell counting kit-8 method and flow cytometry. The regulatory action of c-Myc on TRIM66 was interrogated with luciferase reporter plasmid and the direct binding was demonstrated by chromatin immunoprecipitation. The secretory prostate-specific antigen was quantified by enzyme-linked immunosorbent assay. <b><i>Results:</i></b> TRIM66 was aberrantly overexpressed in prostate cancer and associated with unfavorable prognosis. TRIM66/HP1γ/AR was upregulated during the androgen-independent transition in hormone-deprived medium. The TRIM66 level positively linked to cell proliferation and negatively linked to cell apoptosis in androgen-independent prostate cancer cells. QL treatment specifically inhibited c-Myc and therefore directly downregulated TRIM66 via binding to its promoter. Ectopic introduction of TRIM66 significantly reversed the anti-tumor effects of QL against androgen-independent prostate cancer. <b><i>Conclusion:</i></b> Our study uncovered the importance of downregulated TRIM66/HP1γ/AR signaling in mediating the anti-tumor properties of QL.
DOI: 10.6084/m9.figshare.14716398
title: Supplementary Material for: Endobronchial Ultrasound Multimodal Imaging for the Diagnosis of Intrathoracic Lymph Nodes

description: <b><i>Background:</i></b> Endobronchial ultrasound (EBUS) imaging is valuable in diagnosing intrathoracic lymph nodes (LNs), but there has been little analysis of multimodal imaging. This study aimed to comprehensively compare the diagnostic performance of single and multimodal combinations of EBUS imaging in differentiating benign and malignant intrathoracic LNs. <b><i>Methods:</i></b> Subjects from July 2018 to June 2019 were consecutively enrolled in the model group and July 2019 to August 2019 in the validation group. Sonographic features of three EBUS modes were analysed in the model group for the identification of malignant LNs from benign LNs. The validation group was used to verify the diagnostic efficiency of single and multimodal diagnostic methods built in the model group. <b><i>Results:</i></b> 373 LNs (215 malignant and 158 benign) from 335 subjects and 138 LNs (79 malignant and 59 benign) from 116 subjects were analysed in the model and validation groups, respectively. For single mode, elastography had the best diagnostic value, followed by grayscale and Doppler. The corresponding accuracies in the validation group were 83.3%, 76.8%, and 71.0%, respectively. Grayscale with elastography had the best diagnostic efficiency of multimodal methods. When at least two of the three features (absence of central hilar structure, heterogeneity, and qualitative elastography score 4–5) were positive, the sensitivity, specificity, and accuracy in the validation group were 88.6%, 78.0%, and 84.1%, respectively. <b><i>Conclusions:</i></b> In both model and validation groups, elastography performed the best in single EBUS modes, as well as grayscale combined with elastography in multimodal imaging. Elastography alone or combined with grayscale are feasible to help predict intrathoracic benign and malignant LNs.
DOI: 10.6084/m9.figshare.14716398.v1
title: Supplementary Material for: Endobronchial Ultrasound Multimodal Imaging for the Diagnosis of Intrathoracic Lymph Nodes

description: <b><i>Background:</i></b> Endobronchial ultrasound (EBUS) imaging is valuable in diagnosing intrathoracic lymph nodes (LNs), but there has been little analysis of multimodal imaging. This study aimed to comprehensively compare the diagnostic performance of single and multimodal combinations of EBUS imaging in differentiating benign and malignant intrathoracic LNs. <b><i>Methods:</i></b> Subjects from July 2018 to June 2019 were consecutively enrolled in the model group and July 2019 to August 2019 in the validation group. Sonographic features of three EBUS modes were analysed in the model group for the identification of malignant LNs from benign LNs. The validation group was used to verify the diagnostic efficiency of single and multimodal diagnostic methods built in the model group. <b><i>Results:</i></b> 373 LNs (215 malignant and 158 benign) from 335 subjects and 138 LNs (79 malignant and 59 benign) from 116 subjects were analysed in the model and validation groups, respectively. For single mode, elastography had the best diagnostic value, followed by grayscale and Doppler. The corresponding accuracies in the validation group were 83.3%, 76.8%, and 71.0%, respectively. Grayscale with elastography had the best diagnostic efficiency of multimodal methods. When at least two of the three features (absence of central hilar structure, heterogeneity, and qualitative elastography score 4–5) were positive, the sensitivity, specificity, and accuracy in the validation group were 88.6%, 78.0%, and 84.1%, respectively. <b><i>Conclusions:</i></b> In both model and validation groups, elastography performed the best in single EBUS modes, as well as grayscale combined with elastography in multimodal imaging. Elastography alone or combined with grayscale are feasible to help predict intrathoracic benign and malignant LNs.
DOI: 10.6084/m9.figshare.14716587
title: hrv final_1.sav

description: My data is about a clinical study on COVID 19
DOI: 10.6084/m9.figshare.14716587.v1
title: hrv final_1.sav

description: My data is about a clinical study on COVID 19
DOI: 10.6084/m9.figshare.14716617
title: Supplementary materials of the complete chloroplast genome of Acmella Paniculata

description: This data is the supplementary material of the article "The complete chloroplast genome of Acmella paniculata (Asteraceae), an important worldwide toothache plant"
DOI: 10.6084/m9.figshare.14716617.v1
title: Supplementary materials of the complete chloroplast genome of Acmella Paniculata

description: This data is the supplementary material of the article "The complete chloroplast genome of Acmella paniculata (Asteraceae), an important worldwide toothache plant"
DOI: 10.21942/uva.14714130.v1
title: Expressions of resistance to violence metaphors for cancer in online newspapers and blogs

description: Examples of expressions of resistance to violence metaphors for cancer in online newspapers and blogs
DOI: 10.21942/uva.14714130
title: Expressions of resistance to violence metaphors for cancer in online newspapers and blogs

description: Examples of expressions of resistance to violence metaphors for cancer in online newspapers and blogs
DOI: 10.5281/zenodo.4891095
title: Smart Santander Parking Availability

description: This is a processed dataset, generated by an initial dataset collected from the Smart Santander infrastructure. The initial dataset contains a series of timestamped boolean values, which indicate the availability (0) or occupancy (1) of a set of parking spots. After cleaning and pre-processing this initial dataset, another final one is generated. The final dataset contains the following information calculated within 15 mins intervals: - Start: starting timestamp of a 15-mins interval - OccupiedSpotsNo: number of occupied parking spots within the 15-mins interval - AvailableSpotsNo: number of available parking spots within the 15-mins interval - OccupiedDuration: time duration of all occupied parking spots within the 15-mins interval - AvailabilityDuration: time duration of all available parking spots within the 15-mins interval
DOI: 10.5281/zenodo.4890249
title: Fast and Fine Location of Total Lightning from Low Frequency Signals Based on Deep Learning Encoding Features

description: The data used to generate and be displayed in figures in this manuscript can be downloaded here. Please use Matlab to open files in mat format. The data can be used freely for scientific purposes with appropriate citation.
DOI: 10.5281/zenodo.4561614
title: Fast and Fine Location of Total Lightning from Low Frequency Signals Based on Deep Learning Encoding Features

description: The data used to generate and be displayed in figures in this manuscript can be downloaded here. Please use Matlab to open files in mat format. The data can be used freely for scientific purposes with appropriate citation.
DOI: 10.5281/zenodo.4892387
title: Smart Santander Parking Availability

description: This is a processed dataset, generated by an initial dataset collected from the Smart Santander infrastructure. The initial dataset contains a series of timestamped boolean values, which indicate the availability (0) or occupancy (1) of a set of parking spots. After cleaning and pre-processing this initial dataset, another final one is generated. The final dataset contains the following information calculated within 15 mins intervals: - Start: starting timestamp of a 15-mins interval - OccupiedSpotsNo: number of occupied parking spots within the 15-mins interval - AvailableSpotsNo: number of available parking spots within the 15-mins interval - OccupiedDuration: time duration of all occupied parking spots within the 15-mins interval - AvailabilityDuration: time duration of all available parking spots within the 15-mins interval
DOI: 10.5281/zenodo.4891094
title: Smart Santander Parking Availability

description: This is a processed dataset, generated by an initial dataset collected from the Smart Santander infrastructure. The initial dataset contains a series of timestamped boolean values, which indicate the availability (0) or occupancy (1) of a set of parking spots. After cleaning and pre-processing this initial dataset, another final one is generated. The final dataset contains the following information calculated within 15 mins intervals: - Start: starting timestamp of a 15-mins interval - OccupiedSpotsNo: number of occupied parking spots within the 15-mins interval - AvailableSpotsNo: number of available parking spots within the 15-mins interval - OccupiedDuration: time duration of all occupied parking spots within the 15-mins interval - AvailabilityDuration: time duration of all available parking spots within the 15-mins interval
DOI: 10.6084/m9.figshare.14716654.v1
title: The study dataset from Discontinued alcohol consumption elicits withdrawal symptoms in honeybees

description: The honeybee continues to be developed as a model species in many research areas, including studies related to the effects of alcohol. Here, we investigate whether workers display one of the key features of alcoholism, namely withdrawal symptoms. We show that workers fed for a prolonged time on food spiked with ethanol, after discontinuation of access to such food, exhibited a marked increase in the consumption of ethanol and a slight increase in mortality. We additionally show that withdrawal symptoms do not include an increase in appetitiveness of ethanol diluted in water. Our results demonstrate that workers can develop alcohol dependence, which might be especially important in the natural setting of repeated exposure to ethanol in floral nectar and for their potential as a model of alcohol addiction.