cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5912689
title: Dataset of Functionally Equivalent Java Methods

description: This is a dataset of functionally equivalent Java methods. This dataset is published as a supplemental data as the following submission. Yoshiki Higo, Shinsuke Matsumoto, Shinji Kusumoto, and Kazuya Yasuda, "Constructing Dataset of Functionally Equivalent Java Methods Using Automated Test Generation Techniques", submitted to MSR 2022. This dataset includes 276 groups of functionally equivalent Java methods, which have been manually verified by the authors. The 276 groups include 728 Java methods in total.
DOI: 10.5281/zenodo.5896267
title: Dataset of Functionally Equivalent Java Methods

description: This is a dataset of functionally equivalent Java methods. This dataset is published as a supplemental data as the following submission. Yoshiki Higo, Shinsuke Matsumoto, Shinji Kusumoto, and Kazuya Yasuda, "Constructing Dataset of Functionally Equivalent Java Methods Using Automated Test Generation Techniques", submitted to MSR 2022. This dataset includes 276 groups of functionally equivalent Java methods, which have been manually verified by the authors. The 276 groups include 728 Java methods in total.
DOI: 10.11583/dtu.19076756
title: SCADA data from Norre_m2 wind farm

description: This dataset includes SCADA data and mast measurements from the 42 turbines in Norrekaer Enge windfarm. The dataset represents more than 1 year of statistics and encompass both power, nacelle wind speed and yaw position for each wind turbine. Furthermore, speed and wind direction signals at hub height from the 2 masts have been included.<br>Detailed site documentation is available here.<br><br><b>Public data</b><br>Mast and wind farm SCADA data (NetCDF)
DOI: 10.6084/m9.figshare.17371706
title: Remote Measurement of the Lightning Impulse Charge Moment Change Using the Fast Electric Field Antenna

description: The impulse charge moment change (iCMC) is an important electrical property of the cloud-to-ground (CG) lightning. In this paper, a new method to measure the iCMC at distances of several hundred kilometers is proposed. The method is based on the vertical electric field below 1 kHz measured by the widely used fast electric field antenna with low frequency/very low frequency (LF/VLF) band. The impulse response of Earth-ionosphere waveguide (EIWG) is modeled using a finite difference time domain (FDTD) method considering the anisotropic ionosphere. By comparing the observed waveform with the simulated impulse response, the lightning discharge is classified into the impulsive discharge and the non-impulsive discharge. For the impulsive discharge, its iCMC is directly obtained by comparing the measured ELF waveform to the modeled impulse response at the same distance. For the non-impulsive discharge, its current moment waveform is assumed to be a sum of two Heidler’s functions, and the genetic algorithm is used to search the unknown parameters in the functions. The good agreement between the measured ELF waveform and the simulated waveform implies the extracted current moment is reasonable. The method can be used to the continuous monitoring of the lightning iCMC in a given time and space.<br>
DOI: 10.6084/m9.figshare.17371706.v1
title: Remote Measurement of the Lightning Impulse Charge Moment Change Using the Fast Electric Field Antenna

description: The impulse charge moment change (iCMC) is an important electrical property of the cloud-to-ground (CG) lightning. In this paper, a new method to measure the iCMC at distances of several hundred kilometers is proposed. The method is based on the vertical electric field below 1 kHz measured by the widely used fast electric field antenna with low frequency/very low frequency (LF/VLF) band. The impulse response of Earth-ionosphere waveguide (EIWG) is modeled using a finite difference time domain (FDTD) method considering the anisotropic ionosphere. By comparing the observed waveform with the simulated impulse response, the lightning discharge is classified into the impulsive discharge and the non-impulsive discharge. For the impulsive discharge, its iCMC is directly obtained by comparing the measured ELF waveform to the modeled impulse response at the same distance. For the non-impulsive discharge, its current moment waveform is assumed to be a sum of two Heidler’s functions, and the genetic algorithm is used to search the unknown parameters in the functions. The good agreement between the measured ELF waveform and the simulated waveform implies the extracted current moment is reasonable. The method can be used to the continuous monitoring of the lightning iCMC in a given time and space.<br>
DOI: 10.6084/m9.figshare.19085156
title: Sum_Stat_Assoc_Biomarker_Age

description: The table listed all the summary statistics of associations between multi-omics markers and age
DOI: 10.17632/4n4cxkrgvz.1
title: Joint forces - The impact of intrahousehold cooperation on welfare in East African agricultural households

description: In low- and middle income countries, poor cooperation between members of smallholder agricultural households may lead to inefficient allocation of productive resources. This study assesses the impact of an intensive coaching package for couples in participatory intrahousehold decision-making. Using a random encouragement design, we estimate the causal mediating effect of cooperation between spouses on household welfare and household public goods provision in monogamous smallholder coffee farming households in Uganda and Tanzania. Spousal cooperation has significant positive causal mediating effects on total household income per capita and food security, as measures of household welfare. It also positively affects adoption intensity of agronomic practices and the likelihood of using improved seed for food crops, as measures of household public goods provision. There is some evidence of heterogeneous mediation effects.  Spousal cooperation has larger effects on total household income per capita with longer duration of marriage.
DOI: 10.17632/s6gpnrmxg2.1
title: Development of a T cell- based immunodiagnostic system to effectively distinguish SARS-CoV-2 infection and COVID-19 vaccination status. Yu et al

description: Additional Supplemental Items
DOI: 10.17632/mg5wj5d486.2
title: Bemidji Magnetics Dataset for Microbially Induced Anaerobic Oxidation of Magnetite to Maghemite in a Hydrocarbon-Contaminated Aquifer

description: This folder contains the magnetics data downloaded from the Institute for Rock Magnetism.
DOI: 10.17632/nkzwnj24zy.2
title: Exploring links between social identity, emotion regulation and loneliness in those with and without a history of mental illness

description: The aim of this study was to explore the relationships between key constructs drawn from both the emotion regulation and social identity perspectives, with a view to understand loneliness in adults with and without a history of mental illness. Participants (N = 875) with a mental illness history (MH Hx, n = 217; Mage = 45 years, 59% female) and without a mental illness history (No MH Hx, n = 658; Mage = 47 years, 48% female) completed a survey comprising measures of group membership and connectedness, emotion regulation strategies, and loneliness. The MH Hx group reported higher internal affect worsening strategy use and loneliness than those no MH Hx. Hierarchical regressions indicated that the unique contributions of emotion regulation strategies and social identity factors to loneliness were equivalent between the groups. Together, social identity and emotion regulation explained 37% of the variance in loneliness in the No MH Hx subsample, and 35% in the MH Hx subsample. These findings suggest that both emotion regulation and social identity had significant unique contributions to the reported loneliness of people when controlling for demographics and each other in those with and without a history of mental illness.
DOI: 10.17632/74rdymgjnw.3
title: Dataset for "On the potential of “photovoltaics + electric vehicles” for deep decarbonization of Kyoto’s power systems: Techno-economic-social considerations"

description: This is the dataset for Kyoto City electric load, weather file, SAM files in Japanese, etc.
DOI: 10.17632/syxfwbh473.3
title: FAJAR Jurnal Pendidikan Islam

description: FAJAR: Jurnal Pendidikan Islam diterbitkan oleh Program Studi Pendidikan Agama Islam Fakultas Tarbiyah Universitas Islam Jember merupakan wadah publikasi yang berupa hasil penelitian dan kajian ilmiah Dosen, Guru, Praktisi, Pengawas, dan Mahasiswa yang membahas tentang permasalahan Pembelajaran Pendidikan Agama Islam dan pemikiran Tokoh Pendidikan Agama Islam.

FAJAR: Jurnal Pendidikan Islam diterbitkan secara berkala setiap dua kali dalam satu tahun, pada periode Maret dan September. Kami secara terus menerus akan berupaya meningkatkan kualitas jurnal ini, dan berharap jurnal ini dapat bermanfaat bagi pengembangan kualitas para akademisi dalam bidang Pendidikan Islam.
DOI: 10.17632/zb8vd7tpwm.1
title: "T-cell reactivity to the SARS-CoV-2 Omicron variant is preserved in most but not all individuals." Naranbhai and Nathan et al.

description: Supplemental table 6 for article titled "T-cell reactivity to the SARS-CoV-2 Omicron variant is preserved in most but not all individuals" by Naranbhai and Nathan et al. CD8+ T cell epitopes in the SARS-CoV-2 spike protein (736 unique epitopes) predicted to bind HLA alleles, related to Table 1.
DOI: 10.17632/4cncz8dk9f.2
title: COVID-19 and financial markets tweets dataset

description: From January 21 to June 9, 2020, approximately 3.7 million tweets in English containing related keywords regarding the COVID-19 pandemic, such as “coronavirus,” “COVID-19,” “corona,” “social distancing,” and “quarantine,” were collected. Using other sets of keywords related to traditional finance and cryptocurrency markets, we refiltered the tweets to identify the joint discourse of traditional financial or cryptocurrency markets and COVID-19 topics. Three specific datasets were constructed: tweets regarding COVID-19 in general (from January to June 2020), tweets regarding COVID-19 and financial information, and tweets regarding COVID-19 and cryptocurrency information.
DOI: 10.17632/yjn38rsp35.2
title: High water contents in zircons suggest water-fluxed crustal melting during cratonic destruction 

description: 1. Summary of whole-rock SiO2 and Sr/Y ratio, zircon saturation temperature (TZr), REE+Y-P molar content, water content and Hf-O isotopes of zircons in this study.
2. Three data sets for water content, oxygen isotope, Hf isotope, trace element of granitic zircons. 
3. One data set for zircon water content in different tectonic settings.
4. Supporting informations
DOI: 10.17632/xzbw2gvc4w.1
title: Evidence from Characteristics and Comorbidities Suggesting That Asperger Syndrome Is a Subtype of Autism Spectrum Disorder

description: Data from E2 and revised E2a checklists used for statistical analysis
DOI: 10.17632/dss7yg8k4x.1
title: Government mobile applications developed by Brazilian state agencies - July, 2020

description: This database is part of a research project whose goal is to investigate the state of mobile application development in the context of Brazilian state governments.  It is composed of two datasets:

1) Metadata of mobile apps made available by Brazilian state public sector agencies on Google Play in July 2020. The data was collected using web scraping script developed in R. 

   name-app: Name of the mobile application
   id-app: Unique ID of the application on Google Play
   last-update: Last update date
   description-app: app description
   category-app-gp: app category on Google Play
   rating-avg: overall average rating assigned by users
   n-rating: number of ratings given by users
   size-mb: app size in MB
   n-download: number of installs
   download-gp: range of installs
   dev-pag: name of the agency responsible for the application development
   region: country region of the Brazilian state responsible for the development of the app
   state: Brazilian state responsible for the development of the mobile application
   federative-unit: Brazilian federative unit
   dev-contact: developer contact
   link-dev-gp: link to the developer page
   site-dev: developer site
   privacy-policy-link: link to the privacy policy, if available
   model-distribution: distribution model adopted by the application (SuperApp, Decentralized or Centralized)

2) Comments published on mobile app pages offered by Brazilian state-level public sector agencies on Google Play between January 2019 and July 2020. Collected using the Appbot tool. 

   app-name: Mobile app name	
   app-id: Unique ID of mobile app on Google Play
   app-store: app store
   review-id: Unique ID of the review published on Google Play
   date: date of the review published
   author: name given by the author in the comment
   text: text of the comment (Portuguese)
   rating: score attached to the published comment
   sentiment: comment's value 
   topics: topics mentioned in the comment as rated by Appbot
DOI: 10.17632/vt3px2378s.1
title: Supplementary Information - Long-term cognitive impairment of Covid-19: A systematic review and metaanalysis

description: Supplementary information gathered from a systematic review.
DOI: 10.17632/sjx2b3rfyh.1
title: POLIMI-ITW-S

description: Human activity recognition is attracting increasing research attention. Many activity recognition datasets have been created to support the development and evaluation of new algorithms. Given the lack of datasets collected In The Wild to support human activity recognition in public spaces, we introduce a large-scale video dataset for activity recognition In The Wild: POLIMI-ITW-S. The fully labeled dataset consists of 22,161 RGB video clips (about 46 hours) of 37 activity classes performed by 50K+ subjects in real shopping malls.
DOI: 10.17632/2n3g6b4gnk.1
title: : Data-set on the analysis of residents' satisfaction with the post-occupancy modification and re-adaptation of outdoor spaces in middle-income residential public housing estates in Enugu, Nigeria. 

description: : Data-set on the analysis of residents' satisfaction with the post-occupancy modification and re-adaptation of outdoor spaces in middle-income residential public housing estates in Enugu, Nigeria.
DOI: 10.17632/9gs7w7s947.3
title: A Mediterranean-like fat blend protects against the development of severe colitis in the mucin-2 deficient murine model

description: Analysis of the bacteriome (Distal colon) in Mucin 2 deficient mice exposed to diets rich in a Mediterranean fat blend, corn oil, olive oil or anhydrous milk fat.
DOI: 10.17632/8pyj9dchm4.1
title: Glasgow Benefit Inventory assessment for Transnasal Endoscopic Pituitary Surgery 

description: Purpose:
This study assesses postoperative quality-of-life outcomes in patients undergoing transnasal endoscopic pituitary surgery for pituitary adenoma.
Methods:
This was a retrospective cohort study in a UK tertiary referral centre. 145 patients who had undergone transnasal endoscopic pituitary surgery for pituitary adenoma over a 6-year period at one institution completed the Glasgow Benefit Inventory (GBI) with at least 3 months’ follow up. Patients with prior radiotherapy were excluded.
The GBI is a patient reported outcome measure that assesses post-intervention outcomes in three domains: ‘general’ functioning, ‘social support’, and ‘physical’ functioning. Pre- and post-operative visual loss scores were additionally assessed via a 1 to 5 Likert scale. GBI scores were assessed alongside these visual loss scores, clinical and surgical parameters and demographics.
DOI: 10.17632/zrpz6267n6.2
title: Dataset on ultrasound findings of lung ultrasonography in COVID-19: a systematic review

description: This is a systematic review according to the PRISMA guidelines. We queried PubMed, Embase, Web of Science, Cochrane Database of Systematic Reviews and Scopus using the terms ((coronavirus) OR (covid-19) OR (sars AND cov AND 2) OR (2019-nCoV)) AND (("lung ultrasound") OR (LUS)), from 31st of December 2019 to 31st of January 2021. Confirmed cases of SARS-CoV-2 infection, 18 years old or older patients and original studies with at least 10 participants were included. We found 1333 articles, from which 67 articles were included, with a pooled population of 4700 patients. The most examined findings were at least 3 B-lines, confluent B-lines, subpleural consolidation, pleural effusion and bilateral or unilateral distribution. B-lines, its confluent presentation and pleural abnormalities are the most frequent findings. LUS score was higher in intensive care unit (ICU) patients and emergency department (ED), and it is associated with a higher risk of developing unfavorable outcomes (death, ICU admission or need for mechanical ventilation). LUS findings and/or the LUS score has a good negative predictive value in the diagnosis of COVID-19 compared to RT-PCR. This dataset is being submitted via European Journal of Radiology as a co-submission.
DOI: 10.17632/6jryvzmm5c.1
title: Comparing the esthetics and function of an impacted central incisor: spontaneous eruption versus modified closed eruption technique with orthodontic traction in the palatal direction.

description: The topic covered in this paper deals with different approaches in treatment of impacted maxillary central incisors. There is a number of different methods of treatment of impacted incisors and the results are very technique-sensitive. As the anterior region is very esthetically important, a special care must be taken in such cases. The aim was to introduce our approach, which, as we believe, may prove beneficial for patients with this particular diagnosis. It compares esthetic results of a group where surgical uncovering followed by closed eruption technique with palatally bonded attachement and a groups where spontaneous eruption occured after space opening. To our knowledge no study has thusfar shown results of the approach presented in the presented paper.
DOI: 10.17632/9yfddx3534.1
title: Differences in the course of physiological functions and in subjective evaluations in connection with listening to the sound of a chainsaw, and to the sounds of a forest

description: The data relate to a manuscript that will be published in Frontiers in Psychology. Frontiers Media S.A. doi: 10.3389/fpsyg.2022.775173
Names of variables:
Sound: 1 = forest; 2 = chainsaw
ID: the numerical identification of examined person (EP)
AbR: abdominal respiration
ThR: thoracic respiration 
AbRR or ThRR - respiratory rate 
AbVTR or ThVTR: relative tidal volume change
SCL: skin conductance level
FT: finger skin temperature
BVP: blood volume pulse
BVPA: blood volume pulse amplitude
HR: heart rate
RRit: R-R interval trends
Alpha: peak alpha frequency HRV
Peak HF: peak high-frequency HRV
ASD: absolute values of standard deviations. Example AbRASD: absolute values of standard deviations of abdominal respiration 
HRV_nosignif - other not significant heart rate variability parameters; from ibi...to rLFHF_B
We defined 4 time sections for the statistical comparison of differences among the average values of sounds. Periods, defined in MANOVA as a covariate, were not fixed but determined according to literary sources and similar findings from the line charts.
Period1: a control period, 10 s before turning on the sounds. 
Period2: from 0 to 79 s 
Period3: from 80 s to 209 s (up to 3 ½ min), lasting 130 s (ca. 2 minutes). 
Period4: from 210 s to 390 s (up to 6 ½ min), lasting 180 s (3 minutes). 
(Sounds) Evaluation:
AS - activation scale
VAS - visual analogue scale
In the AS method, one of ten polarity statements are selected on a scale from 1 to 11. In the VAS method, the respondent ticks his/her current mental and physical state “intuitively” on the line (encodable on a scale 0 – 200 mm).
ASpre, VASpre - prior to the exposure of acoustic stimuli
ASpost, VASpost - after the exposure of acoustic stimuli
DOI: 10.17632/frznj526m2.1
title: Data for: Finite element modeling of compression mechanism of 3D spacer fabric

description: 1. 3D coordinates of the 64 spacer monofilaments. The first, second, and third columns are x, y, and z-axis, respectively.
2. line to line contact coordinates.
DOI: 10.17632/t8x96g88p3.2
title: Ultimate_Analysis

description: This database studies the performance inconsistency on the biomass HHV ultimate analysis. The research null hypothesis is the consistency in the rank of a biomass HHV model. Fifteen biomass models are trained and tested in four datasets. In each dataset, the rank invariability of these 15 models indicates the performance consistency. 

The database includes the datasets and source codes to analyze the performance consistency of the biomass HHV. These datasets are stored in tabular on an excel workbook. The source codes are the biomass HHV machine learning model through the MATLAB Objected Orient Program (OOP). These machine learning models consist of eight regressions, four supervised learnings, and three neural networks.

An excel workbook, "BiomassDataSetUltimate.xlsx," collects the research datasets in six worksheets. The first worksheet, "Ultimate," contains 908 HHV data from 20 pieces of literature. The names of the worksheet column indicate the elements of the ultimate analysis on a % dry basis. The HHV column refers to the higher heating value in MJ/kg. The following worksheet, "Full Residuals," backups the model testing's residuals based on the 20-fold cross-validations. The article (Kijkarncharoensin & Innet, 2021) verifies the performance consistency through these residuals. The other worksheets present the literature datasets implemented to train and test the model performance in many pieces of literature.

A file named "SourceCodeUltimate.rar" collects the MATLAB machine learning models implemented in the article. The list of the folders in this file is the class structure of the machine learning models. These classes extend the features of the original MATLAB's Statistics and Machine Learning Toolbox to support, e.g., the k-fold cross-validation. The MATLAB script, name "runStudyUltimate.m," is the article's main program to analyze the performance consistency of the biomass HHV model through the ultimate analysis. The script instantly loads the datasets from the excel workbook and automatically fits the biomass model through the OOP classes.

The first section of the MATLAB script generates the most accurate model by optimizing the model's higher parameters. It takes a few hours for the first run to train the machine learning model via the trial and error process. The trained models can be saved in MATLAB .mat file and loaded back to the MATLAB workspace. The remaining script, separated by the script section break, performs the residual analysis to inspect the performance consistency. Furthermore, the figure of the biomass data in the 3D scatter plot, and the box plots of the prediction residuals are exhibited. Finally, the interpretations of these results are examined in the author's article.

Reference :
Kijkarncharoensin, A., & Innet, S. (2022). Performance inconsistency of the Biomass Higher Heating Value (HHV) Models derived from Ultimate Analysis [Manuscript in preparation]. University of the Thai Chamber of Commerce.
DOI: 10.17632/bp7dzg82p6.8
title: Earthquakes triggered by fluid diffusion and boosted by fault reactivation in Weiyuan, China due to hydraulic fracturing

description: The zip file contains vertical waveform data for a refined earthquake catalog (HypoDD_location.dat) built by Sheng et al. (2022), recorded by a dense seismic array in the Weiyuan shale gas block in China. Each directory includes one earthquake. NEDC_catalog.dat file is the standard catalog, recorded by permanent stations, from National Earthquake Data Center (NEDC) of China. Animation_S2.html and Animation_S3.html files are 3D Javascripts animations of seismicity evolution and b values of the eastern cluster, respectively.
DOI: 10.17632/tmdwstsygz.1
title: LDHU3_07.1560

description: peptide methionine sulfoxide reductase-like
Leishmania donovani (HU3 strain)