cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e119693v1
title: The Anticompetitive Effect of Minority Share Acquisitions: Evidence from the Introduction of National Leniency Programs

description: Abstract<br>We address the growing concern that minority shareholding (MS) in rival firms may lessen competition, using the introduction of national leniency programs (LPs) as a shock that destabilizes collusive agreements. Based on data from 63 countries, we find a large and significant immediate increase in domestic horizontal MS acquisitions once an LP is introduced, but only in countries where the LP is deemed to be effective. There is no effect on non-horizontal or cross-border MS acquisitions. Our findings suggest that firms may use MS acquisitions to either stabilize collusive agreements or soften competition in the event that collusion breaks down.
DOI: 10.5281/zenodo.3685827
title: TAU Urban Acoustic Scenes 2020 Mobile, Evaluation dataset

description: TUT Urban Acoustic Scenes 2020 Mobile development dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - <em>airport</em> Indoor shopping mall - <em>shopping_mall</em> Metro station - <em>metro_station</em> Pedestrian street - <em>street_pedestrian</em> Public square - <em>public_square</em> Street with medium level of traffic - <em>street_traffic</em> Travelling by a tram - <em>tram</em> Travelling by a bus - <em>bus</em> Travelling by an underground metro - <em>metro</em> Urban park - <em>park</em>
DOI: 10.5281/zenodo.3685828
title: TAU Urban Acoustic Scenes 2020 Mobile, Evaluation dataset

description: TUT Urban Acoustic Scenes 2020 Mobile development dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - <em>airport</em> Indoor shopping mall - <em>shopping_mall</em> Metro station - <em>metro_station</em> Pedestrian street - <em>street_pedestrian</em> Public square - <em>public_square</em> Street with medium level of traffic - <em>street_traffic</em> Travelling by a tram - <em>tram</em> Travelling by a bus - <em>bus</em> Travelling by an underground metro - <em>metro</em> Urban park - <em>park</em>
DOI: 10.5281/zenodo.3685834
title: TAU Urban Acoustic Scenes 2020 3Class, Evaluation dataset

description: TAU Urban Acoustic Scenes 2020 3Class development dataset consists of 10-seconds audio segments from 10 acoustic scenes grouped into <strong>three major classes</strong> as follows: Indoor scenes - <em>indoor</em>: airport, indoor shopping mall, and metro station Outdoor scenes - <em>outdoor</em>: pedestrian street, public square, street with medium level of traffic, and urban park Transportation related scenes - <em>transportation</em>: travelling by a bus, travelling by a tram, travelling by an underground metro
DOI: 10.5281/zenodo.3685835
title: TAU Urban Acoustic Scenes 2020 3Class, Evaluation dataset

description: TAU Urban Acoustic Scenes 2020 3Class development dataset consists of 10-seconds audio segments from 10 acoustic scenes grouped into <strong>three major classes</strong> as follows: Indoor scenes - <em>indoor</em>: airport, indoor shopping mall, and metro station Outdoor scenes - <em>outdoor</em>: pedestrian street, public square, street with medium level of traffic, and urban park Transportation related scenes - <em>transportation</em>: travelling by a bus, travelling by a tram, travelling by an underground metro
DOI: 10.5281/zenodo.3870655
title: The Open Energy Ontology - Survey

description: These files document the first survey conducted on the Open Energy Ontology. The analysis covers consistency of terms as well as term coverage.
DOI: 10.15161/oar.it/23702
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.17632/8kptw2k475.2
title: Data for: Optimization of solvent properties for post-combustion CO2 capture using process simulation

description: Process simulations have been used to identify the most important properties of the absorbent for post-combustion CO2 recovery and provide valuable insight for further solvent development. The process model has been validated by pilot plant data. Afterward, the effects of various solvent physicochemical properties including liquid density, surface tension, thermal conductivity, viscosity, volatility, heat capacity, CO2 solubility, enthalpy of solution, solvent strength and absorption kinetics on the CO2 capture performance have been investigated separately. Then a viscous solvent with low volatility and slow absorption kinetics is assumed to service a 450 MW natural gas combined cycle power plant. Combined with an economic analysis, sensitivity studies of solvent properties are employed for this water-lean absorbent.
DOI: 10.17632/98xcryjtnc.2
title: Data for: Selective CD8 cell removal by SARS-CoV-2 is associated with a worse prognosis and systemic inflammation in COVID-19 patients.

description: Table in excel format with the data and the averages of the work
DOI: 10.21227/yfse-4g16
title: Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms

description: Synthetic Aperture Radar (SAR) images can be extensively informative owing to their resolution and availability. However, the removal of speckle-noise from these requires several pre-processing steps. In recent years, deep learning-based techniques have brought significant improvement in the domain of denoising and image restoration. However, further research has been hampered by the lack of availability of data suitable for training deep neural network-based systems. With this paper, we propose a standard synthetic data set for the training of speckle reduction algorithms. The design of image processing techniques for synthetic aperture radar applications requires testing and validation on real and synthetic images. The Virtual SAR dataset provides synthetic data to support the design and analysis of algorithms to deal with SAR data.
DOI: 10.5281/zenodo.3871491
title: PsPM-RRM1-2: SCR, ECG and respiration measurement in response to electric stimulation or visual targets

description: This dataset includes skin conductance response (SCR), electrocardiogram (ECG) and respiration measurements for each of 29 healthy unmedicated participants (7 males and 22 females aged 23.5 +/- 3.6 years) in response to 10 discomforting electric stimulations to the forearm (RRM1) or 10 visual targets in a visual detection task (RRM2). The sample partly overlaps with data set PsPM-FR. Some participants did not take part in RRM1 or RRM2 such that there are 25 recordings for RRM1 and 26 recordings for RRM2. Electric shock stimuli are 0.2 ms wide square current pulse repeated at 500 Hz for 500 ms and individually adjusted amplitude just below the pain threshold. Visual stimuli are red crosses (+) embedded in a white digit stream; each stimulus is presented during 200 ms and separated by a 800 ms blank interval. ITI is selected randomly on each trial from 40 s, 45 s or 50 s. A baseline period with distractors but no targets concludes experiment RRM2. (This is in contrast to the methods description in Bach et al. (2016), according to which the baseline period was randomly either in the beginning or at the end of the experiment. This discrepancy was caused by an error in the code that controlled the experiment presentation.)
description: See the readme file for more detail. This version fixes incorrect SCR scaling in one participant.
DOI: 10.17632/vkf4v7662k.1
title: Data for: Anaerobic Digestion of Poultry Litter - A Consequential Life Cycle Assessment

description: Dataset for life cycle assessment of anaerobic digestion of poultry litter. Includes life cycle inventory and impact results.
DOI: 10.5281/zenodo.3871504
title: ChIPexo data for Hyena

description: ChIP-exo used in the Hyena Toolbox (https://github.com/SysBioChalmers/Hyena) Data obtained from: Liu G, Bergenholm D, Nielsen J. Genome-wide mapping of binding sites reveals multiple biological functions of the transcription factor Cst6p in <em>Saccharomyces cerevisiae</em>. <em>MBio</em> 2016;<strong>7</strong>:1–10 Bergenholm D, Liu G, Holland P <em>et al.</em> Reconstruction of a Global Transcriptional Regulatory Network for Control of Lipid Metabolism in Yeast by Using Chromatin Immunoprecipitation with Lambda Exonuclease Digestion. Wilmes P (ed.). <em>mSystems</em> 2018;<strong>3</strong>:e00215-17 Ouyang L, Holland P, Lu H <em>et al.</em> Integrated analysis of the yeast NADPH-regulator Stb5 reveals distinct differences in NADPH requirements and regulation in different states of yeast metabolism. <em>FEMS Yeast Res</em> 2018;<strong>18</strong>, DOI: 10.1093/femsyr/foy091. Holland P, Bergenholm D, Börlin CS <em>et al.</em> Predictive models of eukaryotic transcriptional regulation reveals changes in transcription factor roles and promoter usage between metabolic conditions. <em>Nucleic Acids Res</em> 2019;<strong>47</strong>:4986–5000. Data processed using Börlin CS, Bergenholm D, Holland P <em>et al.</em> A bioinformatic pipeline to analyze ChIP-exo datasets. <em>Biol Methods Protoc</em> 2019a;<strong>4</strong>:1–9.
DOI: 10.5281/zenodo.3871503
title: ChIPexo data for Hyena

description: ChIP-exo used in the Hyena Toolbox (https://github.com/SysBioChalmers/Hyena) Data obtained from: Liu G, Bergenholm D, Nielsen J. Genome-wide mapping of binding sites reveals multiple biological functions of the transcription factor Cst6p in <em>Saccharomyces cerevisiae</em>. <em>MBio</em> 2016;<strong>7</strong>:1–10 Bergenholm D, Liu G, Holland P <em>et al.</em> Reconstruction of a Global Transcriptional Regulatory Network for Control of Lipid Metabolism in Yeast by Using Chromatin Immunoprecipitation with Lambda Exonuclease Digestion. Wilmes P (ed.). <em>mSystems</em> 2018;<strong>3</strong>:e00215-17 Ouyang L, Holland P, Lu H <em>et al.</em> Integrated analysis of the yeast NADPH-regulator Stb5 reveals distinct differences in NADPH requirements and regulation in different states of yeast metabolism. <em>FEMS Yeast Res</em> 2018;<strong>18</strong>, DOI: 10.1093/femsyr/foy091. Holland P, Bergenholm D, Börlin CS <em>et al.</em> Predictive models of eukaryotic transcriptional regulation reveals changes in transcription factor roles and promoter usage between metabolic conditions. <em>Nucleic Acids Res</em> 2019;<strong>47</strong>:4986–5000. Data processed using Börlin CS, Bergenholm D, Holland P <em>et al.</em> A bioinformatic pipeline to analyze ChIP-exo datasets. <em>Biol Methods Protoc</em> 2019a;<strong>4</strong>:1–9.
DOI: 10.21227/7exb-wb55
title: Topics modeling in computer science articles

description: By querying open data of notorious scientific databases via representational state transfers, and subsequently enforcing data management practices with a dynamic topic modeling approach on the referred metadata available, this work achieves a feasible form of article set analysis and classification. Research trends for a given field in specific moments are identified, and also the referred trends evolution throughout the years. It is then possible to detect the associated lexical variation overtime on published content, ultimately determining the so-called hot topics in arbitrary instants, including now. Three prominent scientific articles databases are probed by this work, they are arXiv, IEEExplore, and Springer Nature.The dataset contains:Identification of the articles used in the studyThe proportion of the topics in each documentNumber of articles per year per topicDistribution of the words that make up each topic
DOI: 10.21227/95kq-mj44
title: Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms

description: Synthetic Aperture Radar (SAR) images can be extensively informative owing to their resolution and availability. However, the removal of speckle-noise from these requires several pre-processing steps. In recent years, deep learning-based techniques have brought significant improvement in the domain of denoising and image restoration. However, further research has been hampered by the lack of availability of data suitable for training deep neural network-based systems. With this paper, we propose a standard synthetic data set for the training of speckle reduction algorithms. The design of image processing techniques for synthetic aperture radar applications requires testing and validation on real and synthetic images. The Virtual SAR dataset provides synthetic data to support the design and analysis of algorithms to deal with SAR data.
DOI: 10.21227/ydrm-gk96
title: Topics modeling in computer science articles

description: By querying open data of notorious scientific databases via representational state transfers, and subsequently enforcing data management practices with a dynamic topic modeling approach on the referred metadata available, this work achieves a feasible form of article set analysis and classification. Research trends for a given field in specific moments are identified, and also the referred trends evolution throughout the years. It is then possible to detect the associated lexical variation overtime on published content, ultimately determining the so-called hot topics in arbitrary instants, including now. Three prominent scientific articles databases are probed by this work, they are arXiv, IEEExplore, and Springer Nature.The dataset contains:Identification of the articles used in the studyThe proportion of the topics in each documentNumber of articles per year per topicDistribution of the words that make up each topic
DOI: 10.5281/zenodo.3871888
title: earfw/The-Meteoric-Ni-Layer-in-the-Upper-Atmosphere v1.0

description: The Meteoric Ni Layer in the Upper Atmosphere by Shane Daly, Wuhu Feng, Thomas Mangan, Michael Gerding, John Plane* The repository contains the data used in the above paper.
DOI: 10.18112/openneuro.ds002873.v1.0.0
title: Neural mechanisms of musical syntax and tonality, and the effect of musicianship
DOI: 10.5281/zenodo.3871521
title: MU Density GUI e2e data

description: MU Density GUI e2e data
DOI: 10.5281/zenodo.3871615
title: Factors affecting altmetrics attention to scholarly publication in peer-reviewed journals published in Iran and Turkey

description: The goal of this study was to trace the altmetric measures of peer-reviewed journals in two non-English speaking countries na,ely Iran and Turkey, in order to understand their correlation with some website structure and design determinants, as well as the subject and the full-text language of the journals.
DOI: 10.5281/zenodo.3871616
title: Factors affecting altmetrics attention to scholarly publication in peer-reviewed journals published in Iran and Turkey

description: The goal of this study was to trace the altmetric measures of peer-reviewed journals in two non-English speaking countries na,ely Iran and Turkey, in order to understand their correlation with some website structure and design determinants, as well as the subject and the full-text language of the journals.
DOI: 10.17632/xhw98n454v.1
title: Raw data for C. vulgaris Algal Research paper

description: All the raw data is in this excel file
DOI: 10.5281/zenodo.3871492
title: Raw diffraction data for [NiFeSe] hydrogenase pressurized with Kr gas - dataset wtKr1

description: Diffraction data measured at ESRF beamline ID30A-3 on September 27, 2017.
description: This work was supported by grant PTDC/BBB-BEP/2885/2014 funded by Fundação para a Ciência e Tecnologia (FCT/MCTES), and by research unit MOSTMICRO (Project LISBOA-01-0145-FEDER-007660) cofunded by FCT/MCTES and FEDER funds through COMPETE2020 - Programa Operacional Competitividade e Internacionalização (POCI). SZ was recipient of fellowship SFRH/BD/100314/2014 from FCT/MCTES.
DOI: 10.5281/zenodo.3871493
title: Raw diffraction data for [NiFeSe] hydrogenase pressurized with Kr gas - dataset wtKr1

description: Diffraction data measured at ESRF beamline ID30A-3 on September 27, 2017.
description: This work was supported by grant PTDC/BBB-BEP/2885/2014 funded by Fundação para a Ciência e Tecnologia (FCT/MCTES), and by research unit MOSTMICRO (Project LISBOA-01-0145-FEDER-007660) cofunded by FCT/MCTES and FEDER funds through COMPETE2020 - Programa Operacional Competitividade e Internacionalização (POCI). SZ was recipient of fellowship SFRH/BD/100314/2014 from FCT/MCTES.
DOI: 10.17632/mdztcd9sg4.1
title: Journal of Tourism and Creativity

description: The Journal of Tourism and Creativity (JTC) is purely bring a new insight on tourism. Especially on tourism policy, creative tourism, sustainable tourism, tourism management and organization, travel and tourism, leisure and recreation. And other diciplines, such as sociology of tourism, anthropology of tourism, psychology of tourism, law tourism, technology and information of tourism, geography of tourism, tourism education. It also encompases of any applied tourism, such as marine tourism, eco tourism, tourism empowernment of local community, man made tourism, agrotourism, etc.
DOI: 10.17632/zwy2tbvt5d.1
title: ARA Bunkering Survey 2020

description: Questionnaire 1 solicits data on 'Factors affecting choice of bunkering port' and the 'Effect of IMO2020 in bunkering port choice ' Questionnaire 2 solicits data on 'Opinions on the subjective key performance factors' The results-file considers all input received and analyses the feedback by using fuzzy-TOPSIS.
DOI: 10.3886/e119681v1
title: Data and Code for: "News Uncertainty in Brexit UK"

description: This folder contains all the necessary code and data for the replication of "News Uncertainty in Brexit UK" by R. Faccini and E. Palombo published in the American Economic Review: Insights.<br>
DOI: 10.17632/pkyxjbtrn6.1
title: Gender and Energy in Africa

description: Data and Stata Do file to the paper "Women in Politics, Electricity Access, Renewable Energy Consumption and Energy Efficiency in Africa"
DOI: 10.17632/rns7sgmkkw.1
title: Reduction of Postoperative Gastrointestinal Dysmotility Following Total Laparoscopic Hysterectomy: a Randomized Control Trial.

description: This study is a prospective three-arm randomized controlled trial at a single academic-affiliated institution designed to assess the effect of common bowel care regimens on return of bowel function following total laparoscopic hysterectomy. Subjects were randomized using an equal allocation ratio to one of three groups: no bowel care medication, docusate sodium, or polyethylene glycol 3350 (PEG) for the first five days postoperatively. Women aged 18-85 years old undergoing total laparoscopic hysterectomy for benign indications were included. Exclusion criteria included a known underlying gynecologic malignancy, pre-existing gastrointestinal disorders such as Crohn’s disease, ulcerative colitis, irritable bowel syndrome, history of bowel resection, insulin-dependent diabetes or gastroparesis, known gastric dysmotility, chronic use of pain medications, anticipated bowel surgery, or non-English speaking. The primary outcome of the study was to assess the time to first bowel movement after randomization to a postoperative bowel care regimen. Secondary outcomes assessed were time to first flatus postoperatively, narcotic use measured in total oral morphine equivalents in the first five days postoperatively, as well as the constipation score and the Patient Assessment of Constipation Symptoms (PAC-SYM) questionnaire score. There were no significant differences in time to first bowel movement postoperatively amongst those receiving no bowel care regimen, docusate sodium, or PEG (2.64 ± 1.19, 2.80 ± 1.08, 3.06 ± 1.18 days; p=0.436). Similarly, there were no significant differences in time to first flatus: 1.06 days (interquartile range 0.89-1.70) in the control group, 1.05 days (interquartile range 0.78-1.37) in the docusate sodium group, and 1.11 days (interquartile range 0.82-1.40) in the PEG group (p=0.975). Total narcotic use in the first five days postoperatively, constipation score, and the PAC-SYM score did not vary significantly amongst the groups. Body mass index (BMI) was a significant predictor of time to first bowel movement with an increased BMI associated with a shorter time to first bowel movement [HR 1.05 (1.01, 1.10); p=0.013]. In those undergoing laparoscopic hysterectomy for benign indications without any preexisting gastrointestinal disorders, the prescription of a bowel care medication does not significantly affect return of bowel function.
DOI: 10.17632/5c5979pwkr.1
title: Consistent and Coherent Treatment of Uncertainties and Dependencies in Fatigue Crack Growth Calculations Using Multi-Level Bayesian Models

description: These files have been uploaded as a reference for the following submission to the Elsevier Journal of Reliability Engineering and System Safety: 'Consistent and Coherent Treatment of Uncertainties and Dependencies in Fatigue Crack Growth Calculations Using Multi-Level Bayesian Models' by D.Di Francesco, M.H.Faber, M.Chryssanthopoulos and U.Bharadwaj.
DOI: 10.17632/7484xmwk46.1
title: Effectiveness of the Problem-Based Learning (PBL) with Case-Based Learning (CBL) Combined Teaching Method in Clinical Practical Teaching of Thyroid Surgery

description: Objectives: To evaluate the effectiveness and efficiency of the PBL-CBL combined teaching in thyroid surgery and observe from the students’ perspective and satisfaction in the learning process. Methods: We enrolled the fourth-year students majoring in clinical medicine and residents from September 2014 to June 2019. These participants were randomly allocated into either the PBL-CBL combined teaching group or the traditional lecture-based classroom group to attend course on the chapter of thyroid nodules. Both pre-class and post-class quizzes were conducted. The same anonymous questionnaire to evaluate their perception and experience were also required. Results: The pre-class quiz score in the Traditional group was significantly higher than that in the PBL-CBL group (P＜0.001). After class, in the PBL-CBL group, the mean total quiz score, basic knowledge score and case analysis score significantly increased respectively(P＜0.001). The performance improvement of the PBL-CBL group was significantly higher than that of the Traditional group (from 52.76 to 67.51 vs. from 67.03 to 71.97).The scores of learning motivation, understanding, student-teacher interaction, final examination, communication skills, clinical thinking skills, self-learning skills, teamwork skills and knowledge absorption in the surveys were significantly higher in the PBL-CBL group than in the Traditional group (P＜0.001). Meanwhile, the score of free time consumed in the surveys were significantly lower in the PBL-CBL group than in the Traditional group (P＜0.001). Conclusions: PBL combined with CBL is an effective method for medical students and residents to improve their performance and enhance clinical skills.
DOI: 10.17632/mvddhvnhzz.1
title: data for "Detection of ionic contaminants in unsaturated soils using the time domain reflectometry penetrometer: theory and chamber tests"

description: Data set D1 includes the calibration results of the newly proposed theoretical framework, including the empirical equation relating soil dielectric permittivity and volumetric water content, the soil dielectric mixing model, and the modified Archie’s law reflective of surface conductivity; Data set D2 includes the chamber test results of soil degree of saturation; Data D3 includes the chabmer test results of soil pore water electrical conductivity.