cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yj52xrfgtz.4
title: Chronic Neuropathic Pain: EEG data in eyes open (5 min) and eyes closed (5 min) with questionnaire reports 

description: Thirty six chronic neuropathic pain patients (8 men and 28 women) of Mexican nationality with a mean age of 44±13.98 were recruited for EEG signal recording in eyes open and eyes closed condition. Each condition was recorded for 5 min, with a total recording session time of 10 min. An ID number was given to each patient after singing up for the study, with which they answered the Pain Detect questionnaire. All patients had: (1) age above 18 years old, (2) chronic NP for more than 3 months, (3) long-term pharmacological treatment for at least 4 weeks prior to the EEG recording, (4) absence of a major psychiatric disorder (i.e., schizophrenia, major depressive disorder, bipolar disorder), (5) absence of a neurological disorder (i.e., epilepsy, tinnitus), and (6) Total Score >12 points of Pain Detect Questionnaire (the questionnaire outcome was confirmed by the clinical history of the patient). Patients were allowed to continue with their medication. The type and frequency of the pharmacological treatment was the following. Eighteen patients (n=18) were taking centrally acting drugs for over a year, twelve patients (n=12) were not taking medication, three patients (n=3) were on cannabidiol derivatives, and three (n=3) took nonsteroidal anti-inflammatory drugs for pain attacks. The causes for NP in the studied sample were spinal cord injury (31%), peripheral neuropathy (22%), diabetes (17%), trigeminal neuralgia (8%), CNS disorder (8%), and other (14%). None of these patients had any type of acute or chronic pain other than NP (e.g., arthritis, migraine, fibromyalgia), a severe mental disorder, neurological disorder (beside NP), head trauma, cerebral infarct, or CNS tumor.

This study was approved by the Ethics Committee of CEIC TecSalud with the following number: P000369-DN-RespElectro-CI-CR005.

Description and objective: 

Chronic neuropathic pain is defined as “pain arising as a direct consequence of a lesion or disease affecting the somatosensory system" according to the International Association for the Study of Pain.  When neuropathic pain becomes chronic (has a duration greater than 3 months), the neurons in the spinal cord and the brain respond with neuroplastic changes. Currently, there is a significant gap in chronic neuropathic pain research and clinical management, because characterization relies only on the subjective perception of the patient. To address the characterization gap, the principal objective of this study was to characterize the neuroplastic changes in neuronal oscillations for the different degrees of neuropathic pain severity using linear and non linear dynamics. This could be a method to achieve an objective characterization and monitoring of neuropathic pain patients, and ultimately lead to a better management of their disease.
DOI: 10.17632/k4bgjwktyp.1
title: Traffic Technology Today Transportation Dataset (TTIT202201) 

description: The Traffic Technology Today Transportation Dataset (TTIT202201) was collected from a technology-focused magazine, Traffic Technology International (TTI), a popular magazine reporting the latest transport technologies and news. Using a web scraping technique, we collected all the articles (a total of 10,620 articles) from the magazine website without any filters or search queries (because this magazine only covers transportation-related news). The articles are dated between February 2015 and January 2022. Each document in the dataset has five attributes: News Article, Heading, Article Link, Category, and Publication Date. 
This dataset was built to discover parameters for industrial aspects of transportation as part of our deep journalism approach and DeepJournal tool. The deep journalism approach uses big data, deep learning, and digital methods to discover and analyse cross-sectional multi-perspective information to enable better decision making and develop better instruments for academic, corporate, national, and international governance. We discovered a total of 15 parameters from this dataset and grouped them into 5 macro-parameters, namely Industry, Innovation, & Leadership; Autonomous & Connected Vehicles; Sustainability; Mobility Services; and Infrastructure. 

The other two transportation datasets related to this dataset used in the deep journalism approach include the Guardian Transportation Dataset (GT202201: http://dx.doi.org/10.17632/yvxx6s5xhh.1) and the Web of Science Transportation Dataset (WST202201: http://dx.doi.org/10.17632/tnfw2dh5nj.1). 

Further details of the dataset, its collection, and usage for deep journalism including detection of the multi-perspective parameters for transportation can be found in our article here: https://doi.org/10.3390/su14095711.
DOI: 10.17632/pw5zj9jkpk.1
title: MOTIVASI BELAJAR, PENGGUNAAN INTERNET DAN KREATIVITAS DALAM MENGERJAKAN TUGAS SEKOLAH PADA SISWA SMA 24 JAKARTA

description: This study aims to determine the relationship between learning motivation and internet use with the creativity of grade XI students at SMA 24 Jakarta in doing schoolwork. In this study, the dependent variable is creativity and the independent variable is learning motivation and internet use. The sampling technique used was saturated sampling totaling 161 students with quantitative research. This research instrument uses three Likert scale models consisting of creativity scale, learning motivation scale, and internet use scale. The data analysis technique used is multivariate correlation. The results of this study show that 1) there is a positive relationship between learning motivation and creativity, 2) there is a positive relationship between internet use and creativity, and 3) there is a positive relationship between learning motivation and internet use with creativity.
DOI: 10.17632/2tsnczd3rv.1
title: Supplementary Material - Graphic

description: Note: (1) Box plot indicates the lower and upper quartiles of the variable being plotted against a scale. The median is represented by a line subdividing the box, whose length represents the interquartile range (IQR). Lines are drawn to span data points within 1.5 IQR of the nearer quartile: one line extends to include all data points within 1.5 IQR of the upper quartile and stops at the largest such value, while the other extends to include all data within 1.5 IQR of the lower quartile and stops at the smallest such value. Any data points beyond the lines (outliers) are shown individually.
DOI: 10.17632/893yxwfcr8.1
title: Prevalence of Retained Primitive Reflexes in a class of Healthy Preschoolers

description: The purpose of this study was to assess the prevalence of retained primitive reflexes in healthy preschool children in the Southeastern United States. Method: Twenty-one children between ages 3 and 5 years enrolled in the same preschool class participated in the study. A physical therapist tested each child for the asymmetrical tonic neck reflex (ATNR), symmetrical tonic neck reflex (STNR), and tonic labyrinthine reflex (TLR) and the prevalence of each reflex was determined for the children overall and for boys and girls separately. Results: Only one child study displayed no presence of retained primitive reflexes. Six children (29% of subjects) scored between 1 and 2 on all reflexes tested, and 14 children (50% of subjects) scored a 3 or 4 on at least one of the reflexes. The TLR (95% of subjects) was the most commonly retained reflex, followed by the right ATNR (86% of subjects), left ATNR (81% of subjects), and STNR (67% of subjects). The number of subjects with evidence of reflex retention was nearly identical for each reflex in both boys and girls. Conclusions: Because of the high prevalence of primitive reflex retention found in this study and in previous work, routine screening of primitive reflexes in preschool-age children may be prudent to identify children who may need early intervention in the form of reflex integration therapy.
DOI: 10.17632/p3j57x2vxk.1
title: The mechanism and kinetics of the replacement of chalcopyrite by covellite under mild-hydrothermal conditions (120-200 °C)

description: This is the data set for publication of "He, Zhen; Harmer, Sarah L.; Pring, Allan; Qian, Gujie, The Mechanism and Kinetics of the Replacement of Chalcopyrite by Covellite under Mild-Hydrothermal Conditions”.(120-200 °C).
DOI: 10.17632/958ygp2sb4.1
title: TROPIC: A program for calculating reduced transition probabilities

description: Measurements of level lifetimes and the extracted transition probabilities are one of the cornerstones of nuclear structure physics. The reduced transition probabilities, B(πλ; J_i → J_f) yield information about the structure, wavefunctions, and matrix elements of excited states connected by electromagnetic transitions in a given nucleus. The arsenal of techniques for measuring lifetimes continues to expand and presently includes a wide range of values from femtoseconds to microseconds. While lifetime measurement techniques vary, the extraction of transition probabilities remains the same. RULER is the program used by the National Nuclear Data Center (NNDC) and ENDSF evaluations, while TRANSNUCLEAR was developed at the University of Cologne and modified by a variety of groups. This paper presents a new program TROPIC (TRansitiOn ProbabIlity Calculator), which is the most modern and efficient way to extract transition probabilities B(πλ). TROPIC is a program written in Python 3 with the NumPy and SciPy libraries. This is in line with the advances that ENSDF and NNDC are making in moving away from the 80-character card punch input formats. Several design features were implemented to provide a streamlined process for the user and mitigate drawbacks that were present in other programs. The results from TROPIC have been compared with TRANSNUCLEAR and RULER. The answers are as expected identical, but the investment of input to output time is significantly reduced. TROPIC will be made available for public domain use, along with a user guide and example files.
DOI: 10.17632/sxxfmx9xwv.2
title: From Carry Trades to Trade Credit dataset

description: This is the dataset and replication code for "From Carry Trades to Trade Credit: Financial Intermediation by Non-Financial Corporations", by Bryan Hardy and Felipe Saffie.
DOI: 10.17632/ssv23kfcgs.2
title: ITC-Net-Blend-60: A Comprehensive Dataset for Robust Network Traffic Classification in Diverse Environments- Scenario A

description: This dataset includes network traffic data from more than 50 Android applications across 5 different scenarios. The applications are consistent in all scenarios, but other factors like location, device, and user vary (see Table 2 in the paper). The current repository pertains to Scenario A. Within the repository, for each application, there is a compressed file containing the relevant PCAP files. The PCAP files follow the naming convention: {Application Name}{Scenario ID}{#Trace}_Final.pcap.
DOI: 10.17632/c5vkx62xms.1
title: Universal Basic Income Data (1996-2020)

description: The Universal Basic Income dataset, which was indexed Scopus from 1996 to 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, index keywords, reference, correspondence address, editors, publisher, conference name, conference data, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/rkhsvzwr6v.1
title: Systematic Review and Meta-Analysis: the advantage of Endoscopic Mayo Score 0 over 1 in patients with Ulcerative Colitis. 

description: To identify the best definition of endoscopic remission using the MES, we performed a systematic review and meta-analysis to compare MES 0 versus MES 1 in patients with UC in steroid-free clinical remission. Clinical relapse, hospitalization, and colectomy were considered as outcomes to evaluate the changes in the clinical course.
Raw data and characteristics of the 15 selected studies included in the meta-analysis "Systematic Review and Meta-Analysis: the advantage of Endoscopic Mayo Score 0 over 1 in patients with Ulcerative Colitis".
DOI: 10.17632/jc4mmnvcdk.1
title: Yoga for all: A Comprehensive Collection of Yoga Images and Videos dataset

description: The dataset comprises both images and videos depicting right and wrong postures for a variety of Yoga asanas. The focus of the dataset is on 10 specific Yoga postures, namely Anantasana, Ardhakati Chakrasana, Bhujangasana, Kati Chakrasana, Marjariasana, Parvatasana, Sarvangasana, Tadasana, Vajrasana, and Viparita Karani.

The Image dataset comprises a total of 11,344 compressed images (256 × 256 dimension) and is organized into 10 subfolders, each corresponding to a specific Yoga asana. Within each subfolder, there are two additional folders labeled "Right Steps" and "Wrong Steps". The "Right Steps" folder contains several subfolders, each representing a specific step in the right sequence of the Yoga asana and displaying the corresponding images. On the other hand, the "Wrong Steps" folder includes multiple subfolders, each showing images of an wrong steps in the sequence of the Yoga asana.

The Yoga asana video dataset consists of 8 videos for each posture, comprising 4 videos demonstrating the right posture from 4 different angles and 4 videos exhibiting the wrong posture from 4 different angles. This dataset includes a total of 80 compressed videos for 10 Yoga asanas, with 40 videos demonstrating the right postures captured from 4 different angles, and 40 videos illustrating the wrong postures from 4 different angles.

The dataset has advantages for various groups, such as app developers, machine learning researchers, Yoga instructors, and Yoga practitioners. Machine learning researchers can utilize this dataset to train computer vision algorithms in recognizing and categorizing various yoga postures automatically. App developers can use the dataset to generate yoga apps that present users with visual guidance on executing each posture and keeping track of their progress.
DOI: 10.17632/jhyrrgj5b6.1
title: Dangerous situation detection

description: Dataset containing two folders with one containing dangerous objects of various classes - blood, alcohol, guns, knives, cigarrete, insulting gestures. The second folder contains images of different emotions ranging from sad, happy, angry as distressed and surprised and neutral as un-distressed.
DOI: 10.17632/8hv5grr49s.3
title: ACI FRP databases - Machine learning assessment of frp-strengthened and reinforced concrete members
DOI: 10.17632/rd6jm9tyb6.2
title: Stress-strain data for aluminum 6061-T651 from 9 lots at 6 temperatures under uniaxial and plain strain tension

description: This dataset contains engineering stress-engineering strain curves for aluminum 6061-T651 test specimens prepared from bars of material from 9 lots available commercially. Multiple specimens from each lot were tested in steady-state tension at 6 different temperatures (i.e., the temperature was maintained constant through the test) under uniaxial and plane strain tension stress states. The files are named with seven groups of characters according to the following format x_xxx_x_x_xxx_xxx_xx. The first letter indicates the specimen type - 'T' is for uniaxial tension and 'P' is for plane strain, the next three numbers indicate the temperature of the test, the next letter indicates the lot, the next number indicates the specimen number within that lot. These 4 groups of characters are enough to uniquely identify any file. The additional three groups of characters are for correspondence with the numbering scheme used while performing the tests and can be disregarded. The strains are obtained using digital image correlation using a 2-inch gauge length for the tension specimen and a 0.25-inch gauge length for the plane strain specimen. The strains are an average of several measurements (at approximately 350-micron intervals) across the width of the gauge section over the gauge length. The stresses are computed using force readings from the load cell and cross-sectional area measurements of the test specimen.
DOI: 10.17632/jtct7mt8zr.2
title: Dataset for Guidelines and limits for the quantification of U/Th series radionuclides with the Radium Delayed Coincidence Counter (RaDeCC)

description: Output data from simulations
DOI: 10.17632/55xmkyrssh.2
title: The Globalization of Corporate Control

description: Reproduction materials for "The Globalization of Corporate Control"
DOI: 10.17632/gfcn2wmrpf.1
title: Dataset for the paper entitled "A genetic map of the response to DNA damage in human cells" by Olivieri M et al. Cell 2020

description: We used pooled CRISPR/Cas9 screens in the human RPE1-hTERT p53-/- cell line against 27 genotoxic agents. The Dataset herein make the primary data available. The files are: * Additional genes of interest (discussion and data relating to TMEM2, ESD, USP37, PHF12, BTAF1 and DRAP1) * Supplementary Raw Data: Data used to make all the graphs in the manuscript * Folder "CRISPR screen readcount files". Readcounts for the screens undertaken as part of this study. * Folder "Raw images for immunoblots": uncropped images for all the blots in the manuscript * Folder: "Additional QC analyses of CRISPR screens": Additional analyses that measure the quality of the screens using Presion-Recall curves of essential genes and an estimate of genes that scored as hits due to batch effects. * Folder "Data_Analysis_Code" R markdown file along with data files * File: "Additional Genes of Interests" contains a short discussion of genes we found noteworthy after analysis of our screen data.
DOI: 10.17632/6nhpgnxf3y.1
title: Post-Gastrulation Synthetic Embryos Generated Ex Utero Solely from Naïve ESCs

description: Four Supplementary figures  (M1-M6) that were peer reviewed, but due to space limitations are deposited on Mendeley and are directly linked to the parental published manuscript.
DOI: 10.17632/jg2z4g6pdh.1
title: Near-infrared reflection spectrum of plastics

description: The experimental setup was installed in a plastic recycling facility.
Spectra show large spectral variability at each wavelength owing to severe surface curvature and contamination.
DOI: 10.17632/rs38hnh5ft.2
title: Supplementary Data: Bridging Computational Stratigraphy and Reservoir Simulation for Geologically Realistic High-resolution Reservoir Modeling

description: The two reservoir models in this dataset are part of the supplementary material of the paper “Bridging Computational Stratigraphy and Reservoir Simulation for Geologically Realistic High-resolution Reservoir Modeling” published in SPE Journal. https://doi.org/10.2118/212244-PA. Please cite this paper if you use this dataset. Feel free to email the corresponding author if you have questions. - Authors: Boxiao Li, Lewis Li, Xian-Huan Wen, Tao Sun - Affiliation: Chevron Technical Center, Houston, TX, USA - Corresponding author: Boxiao Li; email: boxiao.li at chevron.com The following two synthetic fluvial-deltaic reservoir models are built from Computational Stratigraphy (CompStrat), a state-of-the-art earth-modeling method that captures the key heterogeneities in subsurface reservoirs through modeling of the detailed flow and sediment transportation processes in various depositional environments. The model in "CompStratFluvialDeltaicModel.zip" is a sector model (as shown in "CompStratFluvialDeltaicModel.JPG"): - Dimension: 40x40x2801 - DX = DY = 20 m for all cells, DZ varies - Number of defined cells: 4,479,071 - Model properties included: grainsize, porosity, permeability, shale body label, shale sub-body label, score, and class - Latest update: July 15th, 2023 The model in "CompStratFluvialDeltaicModel_Large.zip" is a much larger model (as shown in "CompStratFluvialDeltaicModel_Large.JPG"). The previous sector model is taken from (20,20) to (119, 119). - Dimension: 201x201x2801 - DX = DY = 20 m for all cells, DZ varies - Number of defined cells: 113,090,331 - Model properties included: grainsize - Latest update: July 15th, 2023 The models are shared in three formats: RESQML v2.0.1, Eclipse EGRID, and Eclipse ASCII. Note that the grids in different formats loaded in different software may be mirror-flipped, or the origin location may be different. The “RESQMLv2” folder contains the RESQML files (“.epc” and “.h5” files). Do not change the file names as there may be internal mapping between the “.epc” and “.h5” files. RESQML is an upstream oil and gas data-exchange standard that facilitates reliable, automated exchange of data among software packages used in subsurface workflows, for example for earth and reservoir modeling workflows. https://www.energistics.org/resqml-data-standards The “Eclipse_EGRID” folder contains the “.egrid” file (the model grid) and the “.GRDECL” file (the model properties). The property values of undefined cells are set to -9999. The “Eclipse_ASCII” folder contains four “.GRDECL” files describing the model grid and properties in ASCII format. The property values of undefined cells are set to -9999.
DOI: 10.15468/dl.zym48t
title: Occurrence Download

description: A dataset containing 1579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus trichocarpa Torr. & A.Gray ex Hook.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1579 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009293-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.