cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xsy9m8ttv5.1
title: Psychosocial predictors of Facebook addiction in Bangladeshi undergraduate medical students

description: The objective of the current study was to determine the prevalence of Facebook addiction and to assess the social and psychological factors that affect the likelihood of Facebook addiction among Bangladeshi medical students.
This cross-sectional study involved participants from four public medical colleges in Bangladesh that were chosen at random from a total of 37 public medical colleges between the months of July and November 2021. We enrolled 720 medical students from a total of 5000 medical students (4*1250) from selected four medical colleges using two-step stratified random sampling and adjusting for 10% nonresponse and 5% missing value with the estimated sample. Firstly, a request letter outlining the objectives of the study was sent to the principal offices of the respective medical colleges. In collaboration with the respective medical college administration, the research team then organized a presentation and question-and-answer session on the study protocol for each year's students. Finally, 36 students were chosen at random from each year, from first to fifth year, for a total of 180 students from each medical college. The semi-structured self-reported questionnaire included a total of 122 questions and was divided into eight sections. The Bergen Facebook Addiction Scale was used to assess Facebook addiction, while the Generalized Anxiety Disorder GAD-7, Patient Health Questionnaire PHQ-9, Perceived Stress Scale PSS10, Chen Internet Addiction Scale CIAS, and Pittsburg Sleep Quality Index PSQI were used to assess anxiety, depression, perceived stress, internet addiction, and sleep quality.  To investigate the effect of different psychosocial and behavioral characteristics on the likelihood that respondents have Facebook Addiction, multiple regression was used. Analysis was conducted using Facebook Addiction as the dependent variable and a number of sociodemographic and behavioral factors as the independent variables, including age, sex, income, place of residence, housing status, type of family, physical activity, duration/cost and time of internet use, personal, social and academic and romantic relationships, internet addiction, depression, perceived stress, anxiety, sleep quality, etc. The final results were presented with Wald statistics, level of significance, odds ratios, and 95% confidence intervals for odds ratios for each of the predictors.
Insufficient personal income, subpar academic performance, anxiety, stress, and depression were all found to be significant contributors to the emergence of Facebook addiction, according to our study. The likelihood of developing a Facebook addiction is however decreased by residing with parents and having healthy family ties.
DOI: 10.17632/khdb7b8ydm.1
title: Slice Selective Absorption-Mode J-Resolved NMR Spectroscopy

description: We have demonstrated a broadband 1H-1H J-Resolved spectrum with a greatly reduced dispersive contribution using the concept of slice selection. We show that slice selective excitation, t1 encoding, storage, and detection
of the in-phase absorptive signals can be executed, while a gradient-based
suppression of the dispersive antiphase signals can be performed during the storage
period. Analogous to Zangger-Sterk (ZS) broadband homo-decoupling, the fresh magnetization
from neighboring slices can be accessed in different scans by frequency shifting of the
slice selective pulses without a recycle delay-an elegant aspect of the ZS pulse
element. This allows faster signal averaging, improving sensitivity which depends on
the T1 relaxation time of the signals. 
    For the data kindly consult Fig 3, 5, and 7 othis J. Magn. Reson. paper
DOI: 10.17632/pm4sw7hy3b.1
title: MOYA-Bolivia Llanos de Moxos Wetland Methane Emission Data and Modelling

description: Data associated with the publication Very large fluxes of methane measured above Bolivian seasonal wetlands, 10.1073/pnas.2206345119.
DOI: 10.17632/pxms35mv84.1
title: Ge/Al and Ge/Si3N4/Al core/shell quantum dot lattices in alumina: boosting the spectral response by tensile strain

description: Data showing structural and opto-electronic properties of thin film materials consisting of regularly ordered core/shell Ge/Al and Ge/Si3N4/Al quantum dots (QDs) in an alumina matrix
DOI: 10.17632/xxjmr8sst8.1
title: ABORM Fellows Acupuncture PCOS

description: Data collection from the online survey of American Board of Oriental Reproductive Medicine (ABORM) Fellows: "Acupuncture for Polycystic Ovary Syndrome - a cross-sectional survey of clinical practice".
DOI: 10.17632/rchp48n97y.2
title: Database for accelerated and natural carbonation in fly ash blended concrete 

description: Data presented consist of collation of fly ash blended concrete carbonation in literature containing the binder chemical composition, mix design, curing properties, and environmental factors.
This article contributed to the dataset, cite this dataset as,
Uwanuakwa, I.D. Deep Learning Modelling and Generalisation of Carbonation Depth in Fly Ash Blended Concrete. Arab J Sci Eng 46, 4731–4746 (2021). https://doi.org/10.1007/s13369-020-05093-2
DOI: 10.17632/sk6dy4j46w.1
title: Genetic testing in REHIPED

description: Spanish registry of pediatric pulmonary hypertension
DOI: 10.21227/tc6g-1196
title: Twitter Conversations about the COVID-19 Omicron Variant: A Large Scale Dataset of more than 500,000 Tweets

description: Please cite the following paper when using this dataset:N. Thakur and C.Y. Han, “An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection,” Preprints, 2022, DOI: 10.20944/preprints202205.0238.v2AbstractThis dataset is one of the salient contributions of the above-mentioned paper. It presents a total of 537,702 Tweet IDs of the same number of Tweets about the SARS-CoV-2 Omicron Variant posted on Twitter since the first detected case of this variant on November 24, 2021. The dataset is compliant with the privacy policy, developer agreement, and guidelines for content redistribution of Twitter, as well as with the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management.Data DescriptionThe Tweet IDs are presented in 7 different .txt files based on the timelines of the associated tweets. The following provides the details of these dataset files. The data collection followed a keyword-based approach and tweets comprising the "omicron" keyword were filtered, collected, and added to this dataset. Filename: TweetIDs_November.txt (No. of Tweet IDs: 17271, Date Range of the Tweet IDs: November 24, 2021 to November 30, 2021)Filename: TweetIDs_December.txt (No. of Tweet IDs: 101393, Date Range of the Tweet IDs: December 1, 2021 to December 31, 2021)Filename: TweetIDs_January.txt (No. of Tweet IDs: 95055, Date Range of the Tweet IDs: January 1, 2022 to January 31, 2022)Filename: TweetIDs_February.txt (No. of Tweet IDs: 91571, Date Range of the Tweet IDs: February 1, 2022 to February 28, 2022)Filename: TweetIDs_March.txt (No. of Tweet IDs: 100787, Date Range of the Tweet IDs: March 1, 2022 to March 31, 2022)Filename: TweetIDs_April.txt (No. of Tweet IDs: 94409, Date Range of the Tweet IDs: April 1, 2022 to April 20, 2022)Filename: TweetIDs_May.txt (No. of Tweet IDs: 37216, Date Range of the Tweet IDs: May 1, 2022 to May 12, 2022)Here, the last date for May is May 12 as it was the most recent date at the time of data collection. The dataset would be updated soon to incorporate more recent tweets.The dataset contains only Tweet IDs in compliance with the terms and conditions mentioned in the privacy policy, developer agreement, and guidelines for content redistribution of Twitter. The Tweet IDs need to be hydrated to be used. For hydrating this dataset the Hydrator application (link to download and a step-by-step tutorial on how to use Hydrator) may be used.
DOI: 10.17632/73n5hrn8hh.2
title: VegNet: Vegetable Dataset with quality (Good & Bad quality)

description: Fast and precise vegetable classification or recognition as per quality parameter is the unmet need of agriculture business. This is an open research problem, which always attracts researchers. Machine learning and deep learning techniques have shown very promising results for the classification and object detection problems. Neat and clean dataset is the elementary requirement to build accurate and robust machine learning models for the real-time environment. With this objective we have created an image dataset of Indian four vegetable with quality parameter which are highly consumed or exported. Accordingly, we have considered four vegetables namely bell pepper, tomato, Indian green chili, and new Mexican green chili to create a dataset. The dataset is categorized into 4 subfolders of vegetables namely bell pepper, tomato, Indian green chili, and new Mexican green chili. Further each vegetable folder contains four subfolders namely 1) Multiple Mature, 2) Single Mature, 3) Multiple Over Mature, and 4) Single Over Mature vegetable classes. Total 6793 images are available in the dataset. We strongly believe that the proposed dataset is very helpful for training, testing and validation of vegetable classification or reorganization machine leaning model.
DOI: 10.17632/5bbrywps2f.1
title:  experimental  investigation of absorber positioning in a natural convection solar drying system

description: Data were acquired using Dallas ds18b20 temperature sensors, Bosch Moisture Sensor BME280, turbine-type anemometer and load cell capacity of 2 kg. The data logger used was an Arduino UNO with SD memory card write/read module.
The data were recorded in the Datalogger in the . CV format and later processed in the GNU Octave software. All graphics were generated in GNU Octave and gnuplot software.
Data are collected at 15-minute intervals and analyzed within the day period between 10 AM and 5 PM.
DOI: 10.17632/x9nmx8hr9s.1
title: Professional identity in classroom interaction

description: This data set contains data coming from a research project focused on understanding relationships among identities, emerging classroom practices, and social constellations beyond the immediate situation.
We build on a Patterns-of-Participation framework that combines social practice theory with symbolic interactionism. 
This is a case study of a teacher, Julia, who works at an underprivileged elementary school in Brazil. The data material includes classroom observations, interviews, and documents, all analyzed using open coding procedures to focus on the social constitution of Julia’s identities and on how they relate to her contributions to classroom practices.
 Julia draws especially on the reform discourse, the traditions at the school, and her general commitment to the students in classroom interaction. In spite of tensions between these discourses and practices, they all fuel Julia’s experiences of being qualified and of belonging to a reformist educational community. 
Contribution: We document how immediate interaction and prior and present practices beyond the current situation contribute to teachers’ professional experiences as well as some possible relationships between these experiences and teachers’ contributions to classroom interaction. More formally, we show the potential of dynamic, interactionist perspectives to supplement other approaches to researching professional identities.
DOI: 10.17632/745vyh6gxs.1
title: High Frequency Ultrasound to increase bioactives in Strawberries, Blackberries and Raspberries 

description: We used two different types of ultrasound devices (at industrial scale) with Water as a solvent, categories were Crop Year, Ultrasound Frequency and Fruit type (Strawberry, Blackberry or Raspberry) and how these are affected by the yield from spray drying, the gallic acid equivalence (TPC) and DPPH essay (Radical Scavenging %).
DOI: 10.17632/kkbff4wkzv.1
title: Interferon-γ resistance and immune evasion in glioma develop via Notch-regulated co-evolution of malignant and immune cells. Parmigiani et al.

description: Original western blot images for Supplemental Figures S1D, S6D, and S6F
DOI: 10.17632/fwsmdr4hvy.1
title: JointProcessingEffects_15

description: DATASET DESCRIPTION 
===================
Study investigating the impacts of stimulus processing on the brain activity of close others. The results of this study show that our brain might be sensitive to electromagnetic fields emitted by the brain of a close other.

SOME DATA AND INFORMATION IS UNDER COPYRIGHT. TO ACCESS COPYRIGHTED INFORMATION SEE WEBSITE DEBRUILLE NEUROSCIENCE LABORATORY (debruillelab.wordpress.com)

Participants: N=15
Stimulus: Presentation of face photographs

Jeuland, É.; Lenne, M.; Jarry, F. & Debruille, J. B.; Using brains as sensors of the magnetic fields produced by other brains. Brain Sci. Preprint
===================
The formatting of this dataset is inspired by the Brain Imaging Data Structure (BIDS). 
For more information on this structure https://bids.neuroimaging.io/
DOI: 10.17632/ckm2rn67p5.1
title: Batemans Bay Data

description: Modelling study on the sediment dynamics and the formation of the flood tide delta near Cullendulla Beach in the Batemans Bay, Australia
DOI: 10.6084/m9.figshare.19768174.v6
title: Chemical Multiverse: An Expanded View of Chemical Space

description: Technological advances and practical applications of the chemical space concept in drug discovery, natural product research, and several other research areas are continuously attracting the scientific community´s attention. The current large- and ultra-large chemical spaces are associated not only with the significant increase in the number of compounds that can potentially be made and exist, but also in the increasing number of experimental and calculated descriptors that are emerging that encode the molecular structure and/or property aspects of the molecules. Due to the importance and continued evolution of compound libraries, herein we review definitions proposed in the literature for chemical space and we emphasize the approaches to generate a consensus view of the chemical space. We also introduce the concept of<em> chemical multiverse</em> as an alternative view of the chemical space.
DOI: 10.17632/kj443jc4yc.2
title: Acoustic Therapies for Tinnitus Treatment: An EEG Database

description: Tecnologico de Monterrey
School of Engineering and Sciences
Neuroengineering and Neuroacoustics Research Group 

Context: Refractory and chronic tinnitus is a disease where the affected patient tends to feel phantom sounds in a bilateral or unilateral way. This uncontrolled buzz affects the quality life of patients in both directions: personal and professional. It does not exist yet a cure towards this condition; however, different types of treatment have been tested. In this research, five different acoustic therapies were tested in order to determine how effective this sound-based treatment is to reduce the tinnitus perception.

Objective: To determine the effectiveness of five different therapies: (1) relaxing music as placebo, (2) tinnitus retraining therapy (TRT), (3) therapy for enriched acoustic environment (TEAE), (4) binaural beats therapy (TBB), and (5) auditory discrimination therapy (ADT) for reducing the tinnitus perception in patients suffering from refractory and chronic tinnitus by analyzing their electroencephalographic (EEG) activity.

Main Outcome Measure: The main outcome measure in this research was the monitoring of EEG signals of each acoustic therapy in each patient at the beginning of the experiment, during the process of the experiment and at the end of the experiment in order to analyze the treatment effect on tinnitus. Additionally, perception, stress and anxiety levels were also monitored (note that this information is provided as an Excel-file). The whole process took 8 weeks to be completed in each case. 

Limitations: The bigger limitation beneath the research was the lack of a guarantee towards the correct application of the acoustic therapy, mainly because the recruited participants would receive the daily therapy session at their home places without any professional taking care of the proper usage. One way to intend a reduction of the risk towards a mistaken application of the acoustic therapy was to recruit patients with a commitment over the experiment. This selection of patients was developed thanks to a previous filtering process undertaken in the National Institute of Rehabilitation. Also, it is important to mention that the patients that became our participants must sign a compromise statement under the acceptance that they agree to be part of the analysis and program. Another limitation that became part of the experimental process was that in this case we had only used 17 out of the 19 electrodes of the 10/20 system, so the limitation was over the number of EEG channels. However, we consider that the estimation of EEG measures is still feasible and reliable invariably the number of electrodes.

Generalizability: As most of experimental studies, the present one consisted of a no random sample with a random assignment. Namely, the results of this study can be causal but not generalizable.

Funding: The present study attracted L’Oréal-UNESCO-CONACYT-AMC Organization as a sponsor on October 16th, 2017.
DOI: 10.22003/xfel.eu-data-900246-00
title: FXE commissioning
DOI: 10.22003/xfel.eu-data-900247-00
title: HED Commissioning
DOI: 10.22003/xfel.eu-data-900248-00
title: AGIPD at HED commissioning and calibration
DOI: 10.22003/xfel.eu-data-900251-00
title: LPD commissioning and calibration
DOI: 10.22003/xfel.eu-data-900259-00
title: SHG commissioning 2022-I
DOI: 10.22003/xfel.eu-data-900261-00
title: LASER SASE1 commissioning
DOI: 10.22003/xfel.eu-data-900262-00
title: LASER SASE2 commissioning
DOI: 10.22003/xfel.eu-data-900263-00
title: LASER SASE3 commissioning
DOI: 10.22003/xfel.eu-data-900265-00
title: SASE1 Instrumentation Commissioning
DOI: 10.22003/xfel.eu-data-900267-00
title: SASE3 Instrumentation Commissioning
DOI: 10.6084/m9.figshare.20277606.v1
title: Seahorse Bioenergetics Raw Data

description: The current dataset provides Seahorse bioenergetic measures across the entire replicative lifespan of primary human fibroblast cell lines from n=6 healthy male and female donors and n=3 donors with lifespan-altering mitochondrial disease caused by mutations in the SURF1 gene. These datasets can be integrated with other omic measures collected in parallel along the cellular lifespan, including gene expression (RNA sequencing) and DNA methylation (GSE179849).This dataset also includes experimental manipulations with treatments targeting oxidative phosphorylation (OXPHOS) and glycolysis, and glucocorticoid signaling, providing an opportunity to examine the influence of stress and bioenergetics on human aging biology. All processed data can be accessed and browsed at our webtool: https://columbia-picard.shinyapps.io/shinyapp-Lifespan_Study/. A detailed description of the study and associated methods can be found at: https://www.biorxiv.org/content/10.1101/2021.11.12.468448
DOI: 10.17632/s24nztdzw2.1
title: NIR II data

description: the materials include experimental procedures and supplementary figures.
DOI: 10.18120/nnw7-pd13
title: Balance Sensation
DOI: 10.17632/bnb9jsjs5r.1
title: Hyscore_Endor_Balm

description: Insight into the structure of black coatings of ancient Egyptian mummies by advanced Electron magnetic resonance of vanadyl complexes.
DOI: 10.17632/7cgrcc3xd5.1
title: Data for: Experimental Validation of Simplified Radionuclide Transport Bubble Scrubbing Code in Sodium Coolant Pool

description: This data set provides the supplemental data for the journal paper "Experimental Validation of Simplified Radionuclide Transport Bubble Scrubbing Code in Sodium Coolant Pool". This data includes the decontamination factor data for each of the 11 single bubble tests conducted along with a test with a bubble swarm configuration. These tests examine the importance of the key scrubbing parameters of particle size, particle density, bubble size, aerosol concentration, pool temperature, and pool depth. Data is provide for the amount of aerosols entering and exiting the sodium coolant pool. The ratio of these two then provides the decontamination factor. Testing conditions for each set of tests is provided along with the uncertainty in the experimentally determined decontamination factor.
DOI: 10.17632/gnmrfj5mnt.1
title: graphene and gold disordered graphene

description: These are two codes for SIESTA to calculate graphene and Au embedded in graphene with 54 carbons.
DOI: 10.34943/90baadbe-7eb7-41f0-9275-b95358910ac4
title: Bullseye Hydrophone Deployed 2014-05-24

description: The Ocean Sonics icListen LF Hydrophone 223 was deployed on 2014-05-24 at Bullseye. Bullseye is a location at Clayoquot Slope, where gas hydrates, seafloor cold seeps, and hydrate dynamics are observed. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.17632/c64h244vs8.1
title: Transient glycolytic complexation of arsenate enhances resistance in the enteropathogen Vibrio cholerae

description: TPP and TIS analysis
DOI: 10.17632/kbbrw99vh8.4
title: Real Electronic Signal Data from Particle Accelerator Power Systems for Machine Learning Anomaly Detection

description: This article describes real time series datasets collected from the high voltage converter modulators (HVCM) of the Spallation Neutron Source facility. HVCMs are used to power the linear accelerator klystrons, which in turn produce the high-power radio frequency to accelerate the negative hydrogen ions (H-). Waveform signals have been collected from the operation of more than 15 HVCM systems categorized into four major subsystems during the years 2020-2022. The data collection process occurred in the Spallation Neutron Source facility of Oak Ridge, Tennessee in the United States. For each of the four subsystems, there are two datasets. The first one contains the waveform signals, while the second contains the label of the waveform, whether it has a normal or faulty signal. A variety of waveforms are included in the datasets including insulated-gate bipolar transistor (IGBT) currents in three phases, magnetic flux in the three phases, modulator current and voltage, cap bank current and voltage, and time derivative change of the modulator voltage. The datasets provided are useful to test and develop machine learning and statistical algorithms for applications related to anomaly detection, system fault detection and classification, and signal processing.