cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21128035
title: Data for "An investigation on spatiotemporal sizes of specific types of lightning flashes"

description: This dataset is for a manuscript titled "An investigation on spatiotemporal sizes of specific types of lightning flashes". The figures of our results are included in 'Figure **.fig', and the data are included in 'Flash**Lightning.mat'. These files can be opened by MATLAB R2021a(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citations.
DOI: 10.6084/m9.figshare.21128035.v8
title: Data for "An investigation on spatiotemporal sizes of specific types of lightning flashes"

description: This dataset is for a manuscript titled "An investigation on spatiotemporal sizes of specific types of lightning flashes". The figures of our results are included in 'Figure **.fig', and the data are included in 'Flash**Lightning.mat'. These files can be opened by MATLAB R2021a(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citations.
DOI: 10.6084/m9.figshare.24049533
title: Site-2-FR-Distribution grid frequency data.

description: Data Specifics:The provided data encompasses real-time series of micro-synchrophasor frequency information gathered through an innovative device at solar sites situated in England, United Kingdom. Within each site's directory, there exists data for the duration of April 2023. Within the monthly folder, there are daily files holding timestamps and grid frequencies for entire days. These daily files contain data points at 10ms intervals, resulting in a total of 8.64 million frequency data points to depict the daily grid frequency patterns.The files are stored in the parquet format, designed in a columnar data structure, rendering them well-suited for large-scale data analysis. Accessing the data is possible using Python, MATLAB, or any other appropriate environment. Instructions and code for reading the data using MATLAB and Python can be found in the associated GitHub repository linked to the Figshare project.
DOI: 10.6084/m9.figshare.24049533.v1
title: Site-2-FR-Distribution grid frequency data.

description: Data Specifics:The provided data encompasses real-time series of micro-synchrophasor frequency information gathered through an innovative device at solar sites situated in England, United Kingdom. Within each site's directory, there exists data for the duration of April 2023. Within the monthly folder, there are daily files holding timestamps and grid frequencies for entire days. These daily files contain data points at 10ms intervals, resulting in a total of 8.64 million frequency data points to depict the daily grid frequency patterns.The files are stored in the parquet format, designed in a columnar data structure, rendering them well-suited for large-scale data analysis. Accessing the data is possible using Python, MATLAB, or any other appropriate environment. Instructions and code for reading the data using MATLAB and Python can be found in the associated GitHub repository linked to the Figshare project.
DOI: 10.6084/m9.figshare.24049638
title: Site-3-PF-Distribution grid frequency data.

description: Data Specifics:The provided data encompasses real-time series of micro-synchrophasor frequency information gathered through an innovative device at solar sites situated in England, United Kingdom. Within each site's directory, there exists data for the duration of April 2023. Within the monthly folder, there are daily files holding timestamps and grid frequencies for entire days. These daily files contain data points at 10ms intervals, resulting in a total of 8.64 million frequency data points to depict the daily grid frequency patterns.The files are stored in the parquet format, designed in a columnar data structure, rendering them well-suited for large-scale data analysis. Accessing the data is possible using Python, MATLAB, or any other appropriate environment. Instructions and code for reading the data using MATLAB and Python can be found in the associated GitHub repository linked to the Figshare project.
DOI: 10.6084/m9.figshare.24049659
title: Site-4-LF-Distribution grid frequency data.

description: Data Specifics:The provided data encompasses real-time series of micro-synchrophasor frequency information gathered through an innovative device at solar sites situated in England, United Kingdom. Within each site's directory, there exists data for the duration of April 2023. Within the monthly folder, there are daily files holding timestamps and grid frequencies for entire days. These daily files contain data points at 10ms intervals, resulting in a total of 8.64 million frequency data points to depict the daily grid frequency patterns.The files are stored in the parquet format, designed in a columnar data structure, rendering them well-suited for large-scale data analysis. Accessing the data is possible using Python, MATLAB, or any other appropriate environment. Instructions and code for reading the data using MATLAB and Python can be found in the associated GitHub repository linked to the Figshare project.
DOI: 10.6084/m9.figshare.24049659.v1
title: Site-4-LF-Distribution grid frequency data.

description: Data Specifics:The provided data encompasses real-time series of micro-synchrophasor frequency information gathered through an innovative device at solar sites situated in England, United Kingdom. Within each site's directory, there exists data for the duration of April 2023. Within the monthly folder, there are daily files holding timestamps and grid frequencies for entire days. These daily files contain data points at 10ms intervals, resulting in a total of 8.64 million frequency data points to depict the daily grid frequency patterns.The files are stored in the parquet format, designed in a columnar data structure, rendering them well-suited for large-scale data analysis. Accessing the data is possible using Python, MATLAB, or any other appropriate environment. Instructions and code for reading the data using MATLAB and Python can be found in the associated GitHub repository linked to the Figshare project.
DOI: 10.6084/m9.figshare.24047562
title: Site-1-KH-Distribution grid frequency data.

description: Data Specifics:The provided data encompasses real-time series of micro-synchrophasor frequency information gathered through an innovative device at solar sites situated in England, United Kingdom. Within each site's directory, there exists data for the duration of April 2023. Within the monthly folder, there are daily files holding timestamps and grid frequencies for entire days. These daily files contain data points at 10ms intervals, resulting in a total of 8.64 million frequency data points to depict the daily grid frequency patterns.The files are stored in the parquet format, designed in a columnar data structure, rendering them well-suited for large-scale data analysis. Accessing the data is possible using Python, MATLAB, or any other appropriate environment. Instructions and code for reading the data using MATLAB and Python can be found in the associated GitHub repository linked to the Figshare project.
DOI: 10.6084/m9.figshare.24047562.v1
title: Site-1-KH-Distribution grid frequency data.

description: Data Specifics:The provided data encompasses real-time series of micro-synchrophasor frequency information gathered through an innovative device at solar sites situated in England, United Kingdom. Within each site's directory, there exists data for the duration of April 2023. Within the monthly folder, there are daily files holding timestamps and grid frequencies for entire days. These daily files contain data points at 10ms intervals, resulting in a total of 8.64 million frequency data points to depict the daily grid frequency patterns.The files are stored in the parquet format, designed in a columnar data structure, rendering them well-suited for large-scale data analysis. Accessing the data is possible using Python, MATLAB, or any other appropriate environment. Instructions and code for reading the data using MATLAB and Python can be found in the associated GitHub repository linked to the Figshare project.
DOI: 10.20391/0e616bb6-503c-4e64-9233-64c593ef3082
title: Supporting data for "Dial-in synthesis of 'Polymer Opal' core-interlayer-shell composite nanoparticles"

description: Data associated with Figs 2,3,5 and A2 in Rosetta et al., Polymers vol 15(17), p3507
DOI: 10.6084/m9.figshare.23962974
title: Supplementary Material for: Medication status and related factors in essential tremor patients: a cross-sectional study in China

description: Abstract Introduction: Essential Tremor (ET) is one of the most common movement disorders. Oral drugs play a crucial role in treating ET, with various available options such as propranolol, primidone and topiramate. However, the medication status and related factors among Chinese ET patients are unknown yet. Methods: This study used the baseline data from the National Survey of Essential Tremor Plus in China cohort. ET patients with information related to medication intake were included. Medication patients was defined as patients who were taking medication at the time of the survey. We further defined recommended medication users according to Chinese guideline recommendations and clinical knowledge. We used mean and standard deviation (SD), median and interquartile range (IQR), or frequencies and percentages when appropriate for descriptive analysis. We used multivariate logistic regression analyses to explore factors related to medication intake in all ET patients, and in recommended medication users respectively. Results: Of 1153 included ET participants, 207 (18.0%) took medication. Arotinolol (115, 55.6%) and propranolol (63, 30.4%) were the top 2 used medicines. Patients with middle school education (odds ratio 0.57, 95% confidence interval 0.39 to 0.83), college or higher level education (0.46, 0.28 to 0.76) and late onset ET (LO-ET) (0.38, 0.23 to 0.63) were less likely to take medication. Patients with intention tremor (1.90, 1.38 to 2.62), every 10-unit increase in age (1.10, 1.00 to 1.21), Tremor Research Group Essential Tremor Rating Assessment Scale (TETRAS) Part 1 (1.63, 1.37 to 1.93), and TETRAS Part 2 (1.81, 1.48 to 2.22) were more likely to take medication. Among 332 recommended medication users, only 104 (31.3%) took medicine. The associations of LO-ET (0.36, 0.17 to 0.75), intention tremor (2.27, 1.35 to 3.81), TETRAS Part1 (1.52, 1.09 to 2.13) and TETRAS Part 2 (1.59, 1.15 to 2.20) with medication were similar to all ET patients. Conclusion: The proportion of medication intake is low among both all ET patients and recommended medication users. The top two commonly used medications among all ET patients are arotinolol and propranolol. Influencing factors of medication intake are different between all ET patients and recommended medication users. Clinicians are suggested to provide counseling and education on ET medication to promote medication intake.
DOI: 10.6084/m9.figshare.23962974.v1
title: Supplementary Material for: Medication status and related factors in essential tremor patients: a cross-sectional study in China

description: Abstract Introduction: Essential Tremor (ET) is one of the most common movement disorders. Oral drugs play a crucial role in treating ET, with various available options such as propranolol, primidone and topiramate. However, the medication status and related factors among Chinese ET patients are unknown yet. Methods: This study used the baseline data from the National Survey of Essential Tremor Plus in China cohort. ET patients with information related to medication intake were included. Medication patients was defined as patients who were taking medication at the time of the survey. We further defined recommended medication users according to Chinese guideline recommendations and clinical knowledge. We used mean and standard deviation (SD), median and interquartile range (IQR), or frequencies and percentages when appropriate for descriptive analysis. We used multivariate logistic regression analyses to explore factors related to medication intake in all ET patients, and in recommended medication users respectively. Results: Of 1153 included ET participants, 207 (18.0%) took medication. Arotinolol (115, 55.6%) and propranolol (63, 30.4%) were the top 2 used medicines. Patients with middle school education (odds ratio 0.57, 95% confidence interval 0.39 to 0.83), college or higher level education (0.46, 0.28 to 0.76) and late onset ET (LO-ET) (0.38, 0.23 to 0.63) were less likely to take medication. Patients with intention tremor (1.90, 1.38 to 2.62), every 10-unit increase in age (1.10, 1.00 to 1.21), Tremor Research Group Essential Tremor Rating Assessment Scale (TETRAS) Part 1 (1.63, 1.37 to 1.93), and TETRAS Part 2 (1.81, 1.48 to 2.22) were more likely to take medication. Among 332 recommended medication users, only 104 (31.3%) took medicine. The associations of LO-ET (0.36, 0.17 to 0.75), intention tremor (2.27, 1.35 to 3.81), TETRAS Part1 (1.52, 1.09 to 2.13) and TETRAS Part 2 (1.59, 1.15 to 2.20) with medication were similar to all ET patients. Conclusion: The proportion of medication intake is low among both all ET patients and recommended medication users. The top two commonly used medications among all ET patients are arotinolol and propranolol. Influencing factors of medication intake are different between all ET patients and recommended medication users. Clinicians are suggested to provide counseling and education on ET medication to promote medication intake.
DOI: 10.5281/zenodo.8143912
title: Data for analyses by graphical loglinear Rasch models of the PSFP and the PLCFP subscales of the PSSFP

description: Data for analyses by graphical loglinear Rasch models of the PSFP and the PLCFP subscales of the PSSFP. Data are from Danish student teachers. Contains the following variables: i1 through i10 are the items from the PSSFP. Response scale is 0 = Never, 1 = Almost Never, 2 = Sometimes, 3 = Fairly Often, 4 = Very Often. Items 4, 5, 7 and 8 are reversed. P_level (level of latest field practice placement): 1 = level I, 2 = level II, 3 = level III T_Progr (teacher education program): 1 = regular, 2 = other Campus: 1 = campus A, 2 = campus B Gender: 1 = female, 2 = male Age: 1 = 25 years and younger, 2 = 26 years and older
DOI: 10.5281/zenodo.8143911
title: Data for analyses by graphical loglinear Rasch models of the PSFP and the PLCFP subscales of the PSSFP

description: Data for analyses by graphical loglinear Rasch models of the PSFP and the PLCFP subscales of the PSSFP. Data are from Danish student teachers. Contains the following variables: i1 through i10 are the items from the PSSFP. Response scale is 0 = Never, 1 = Almost Never, 2 = Sometimes, 3 = Fairly Often, 4 = Very Often. Items 4, 5, 7 and 8 are reversed. P_level (level of latest field practice placement): 1 = level I, 2 = level II, 3 = level III T_Progr (teacher education program): 1 = regular, 2 = other Campus: 1 = campus A, 2 = campus B Gender: 1 = female, 2 = male Age: 1 = 25 years and younger, 2 = 26 years and older
DOI: 10.17632/87hwwbj96j.1
title:  Transcriptomic data of Sepia pharaonis ovary (16 mapped data for 4 developmental stages)

description: 4 developmental stages 16 mapped raw data
DOI: 10.17632/3xpdt3sd6m.1
title: Vibration sensor data acquisition and analysis for metro equipment

description: This paper adopts the method of artificial simulation equipment abnormal, collected the electrical equipment abnormal data, and puts forward the analysis of equipment abnormal data, the model can provide the premise for real-time automatic detection of anomalies, the method is proposed, can provide the electrical equipment abnormal perception data set, algorithm, model, greatly reduce the frequent maintenance frequency, provide technical solutions for automation operations and remote operations. This paper provides a major dataset of metro device vibration sensors to build an efficient machine learning-based analytical model that can detect device anomalies. The data set includes  collected more perceptual signals, including speed, acceleration, frequency and other 15 variables. the data is from August 2022 to August 2023
DOI: 10.17632/6635pcgkpp.1
title: KinPred-RNA

description: This is a original dataset with inferred kinase activities and processed RNA-seq expression levels under certain cancer conditions.
Several kinase prediction models have also been uploaded to this dataset.
DOI: 10.17632/73xhr63pmp.1
title: spouse's occupation and partner's working hours

description: spouse's occupation and partner's working hours
DOI: 10.17632/sgnv9yn4v3.1
title: השתק שיפוטי כעילת התערבות בהליכי בגץ - הערה בעקבות בגץ שיינפלד פורום עיוני משפט מח (תגוביות משפט) אוגוסט 2023

description: השתק שיפוטי נועד להגשים אינטרס צר, אך חשוב וחיוני לכל מערכת משפט חפצת חיים: הגנה על טוהר הליכי המשפט ואמון הציבור ברשות השופטת. ברשימה זו מבקש המחבר להציף את הקושי הכרוך בשימוש בהשתק שיפוטי כעילת התערבות עצמאית במעשי הרשות. בד בבד, טוען המחבר כי עובדות המקרה שנדונו בעניין שיינפלד (בג"ץ דרעי) אינן מקיימות את התנאים להחלת השתק שיפוטי, על פי תכליותיו והאופן בו יושם עד הנה.
DOI: 10.6084/m9.figshare.23798688.v1
title: Supplementary Material for: Left Main Coronary Artery Revascularization in Patients with Impaired Renal Function; Percutaneous Coronary Intervention vs. Coronary Artery Bypass Grafting

description: Introduction: The evidence about the optimal revascularization strategy in patients with left-main coronary artery (LMCA) disease and impaired renal function is limited. Thus, we aimed to compare the outcomes of LMCA disease revascularization (PCI vs. CABG) in patients with and without impaired renal function. Methods: This retrospective cohort study included 2138 patients recruited from 14 centers between 2015 to 2019. We compared patients with impaired renal function who had PCI (n= 316) to those who had CABG (n= 121) and compared patients with normal renal function who had PCI (n= 906) to those who had CABG (n= 795). The study outcomes were in-hospital and follow-up major adverse cardiovascular and cerebrovascular events (MACCE). Results: Multivariable logistic regression analysis showed that the risk of in-hospital MACCE was significantly higher in CABG compared to PCI in patients with impaired renal function [OR: 8.13 (95% CI: 4.19- 15.76), P&lt;0.001] and normal renal function [OR: 2.59 (95% CI: 1.79- 3.73); P&lt;0.001]. There were no differences in follow-up MACCE between CABG and PCI in patients with impaired renal function [HR: 1.14 (95% CI: 0.71- 1.81), P= 0.585] and normal renal function [HR: 1.12 (0.90- 1.39), P= 0.312]. Conclusions: PCI could have an advantage over CABG in revascularization of LMCA disease in patients with impaired renal function regarding in-hospital MACCE. The follow-up MACCE was comparable between PCI and CABG in patients with impaired and normal renal function.
DOI: 10.17632/c23kf4x447.1
title: Sciellin as a potential diagnostic biomarker and a tumor suppressor in oral squamous cell carcinoma: Insights into the TGF-β1/Smad signaling pathway

description: This dataset includes original images obtained from Western Blot (WB) experiments.
DOI: 10.17632/mg4hth7k47.1
title: Data for Publication

description: Data for Publication in Data in Brief
DOI: 10.17632/s9m8t7fg4k.1
title: Long-Term Radon-222 (222Rn) and Hydroclimatic Dataset for a Coastal Estuary, Corpus Christi Bay, Texas 

description: 
Radon-222 (222Rn) is a naturally occurring radio-active tracer commonly used to estimate submarine groundwater discharge (SGD).
"radon raw dataset.csv" contains 222Rn in water collected periodically from Aug. 2019 to June 2021 on 30-minute intervals at a near-shore monitoring platform in Corpus Christi Bay, TX, USA (n= 10,660). Also included in this file are continuous, publicly available hydroclimatic parameters (wind speed and direction, atmospheric pressure, water temperature, tide height, creek and river discharge rate, n=35,088). 
The raw data set was input into two machine learning model scripts: Random forest (Radon_VarTransform_RFprediction_GAM.R) and Deep Neural Network (DNN) (Radon_DNNprediction.txt). The models explain radon variability and predict over gap periods. A generalized additive model (GAM) was also employed to explain 222Rn inventory variability modulated specifically by windspeed and direction.
The data and modelling tools included in this article provide new opportunities to 1) predict radon inventories in regions with large temporal data gaps using only publicly available hydroclimatic parameters and 2) better constrain SGD estimates in windy coastal areas, allowing for insights that can be used to plan field excursions and management strategies for coastal water and solute budgets.
DOI: 10.17632/xt4nys6629.1
title: Autochthonous organic matter input in reservoirs: limited methane oxidation in sediments fails to suppress methane emission

description: The interception of rivers leads to the accumulation of substantial organic matter in reservoirs, exerting a significant influence on greenhouse gas emissions. The diverse imported organic matter, coupled with sedimentary heterogeneity and intricate microbial processes, gives rise to seasonal variations in methane emissions from reservoirs. In this study, sediment cores were supplemented with terrestrial and autochthonous carbon to emulate reservoir carbon input across different seasons, thereby investigating methane emission potential and associated microbial mechanisms within the sediment cores. Results demonstrate that autochthonous organic matter enhances sediment organic content, thereby providing more substrates for the methanogenic process and fostering the proliferation of methanogens (with a relative abundance of 47.17% to 60.66%). Notably, the dominant genera of Methanosaeta, Methanosarcina, and Candidatus Methanomethylicus were boost on the surface layer of sediment. Concurrently, the introduction of autochthonous organic carbon spurs an increase in methane-oxidizing microbe, reaching up to 5.59%, with Methylobacter and Candidatus Methanoperedens as the predominant species, which has led to a downward migration of the functional groups in the sediment. Under the priming impact of autochthonous carbon, however, the methane oxidation probably doesn’t consume the substantial methane produced in sediment. Consequently, the sediment functions as a hotspot for methane release into the overlying water, highlighting the necessity to include summer as critical periods for integrated assessments, particularly during algae bloom.