cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14532090.v1
title: for_NN-A71271C

description: source data
DOI: 10.6084/m9.figshare.26172376.v1
title: AK traverse soil cores_trapped gas properties

description: Please, refer to 'AK traverse soil cores_information' file.
DOI: 10.17632/fdhdkdppsf
title: Intervention Cyberball: PloS

description: Raw Data: Loss of control as a violation of expectations: Testing the predictions of a common inconsistency compensation approach in an inclusionary cyberball game Abstract: Personal control relies on the expectation that events are contingent upon one’s own behavior. A common ‘inconsistency compensation approach’ posits that a violation of expectancies in social interaction triggers aversive arousal and compensatory effort. Following this approach, we tested the hypothesis that interventions affecting participants' decisions violate the expected personal control. In a modified version of the established cyberball paradigm, participants were not excluded, but consistently included. However, their decisions regarding the recipient of a ball throw in the virtual game were occasionally overruled (expectancy violation). We hypothesized that this intervention will trigger a P3 response in event-related brain potentials (ERP). Since this component is related to subjective expectancies, its amplitude was assumed to depend on the frequency of interventions (independent factor: loss of control). Further, we manipulated the vertical position of the participants’ avatar on the computer screen (independent factor: verticality). Building on research showing that verticality is related to the self-assigned power and influences the expected level of control, we hypothesized that the ERP effects of intervention should be more pronounced for participants with avatars in superior position. As predicted, both experimental factors interactively affected the expression of the ERP response: In case of low intervention frequency, P3 amplitudes were significantly pronounced if the participants’ avatar was positioned above as compared to below co-players (high &gt; low self-assigned power). The effect of verticality could be traced back to a lack of adaptation of P3 amplitudes to recurring aversive events. By demonstrating that loss of control triggers ERP effects corresponding to those triggered by social exclusion, this study provides further evidence for a common cognitive mechanism in reactions to aversive events based on an inconsistency in expectancy states.
DOI: 10.17632/h3bxw5gpvs
title: Data for: A comprehensive analysis of time influence on floating floors: effects on acoustic performance and occupants’ comfort

description: Researches Data used for the paper
DOI: 10.17632/3cmgp9gm4m
title: IPV Couples Therapy

description: research lit review
DOI: 10.17632/43yx3rwbpz
title: War-Related Moral Injury and Associated Mental Conditions Among Third and Fourth-Generation Civilian Females of the Holodomor and Holocaust Survivors

description: raw data_moral injury and associated mental conditions and genocidal trauma_239 participants
DOI: 10.21233/x1cy-ek73
title: Yoron-To ostracode surface sample dataset

description: Raw data for the Yoron-To ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.10269947.v2
title: BUSCO dataset designed for Collembola

description: BUSCO dataset designed for Collembola
DOI: 10.17632/vtxknw7n3y
title: WGS data of Bifidobacterium bifidum ICIS-504

description: This whole-genome shotgun project has been deposited at GenBank under the accession number JAJJPE000000000.1. The BioProject database ID of the sequenced strain is PRJNA776132. The sequence read archive of this project is available under the ID SRP346303.
DOI: 10.6084/m9.figshare.13661687.v1
title: Working Directory (WD)

description: Working Directory including R scripts and supporting data files.
DOI: 10.17632/nc5myw64km
title: SootImage: An image recreation, post-processing validation procedure for sooting axisymmetric flames

description: Validation is a vital part of any computational fluid dynamics study. Validation is done by comparing the computed results to the experimental measurements performed in a known configuration. In sooting flames, such a comparison is non-trivial since the measurements have a wide range of uncertainty due to difficulties in directly measuring soot volume fractions. This work introduces a different way to verify the computations using a software package called SootImage. In this proposed methodology, comparisons are not made directly to the computed properties of interest (soot volume fraction and temperature). Instead, a post-processing procedure is performed to obtain an image of the flame based on the computed properties. This reconstructed image is compared to an actual image of the flame being studied. The algorithm of the image reconstruction utilized within SootImage is presented in detail. Finally, the usage of SootImage is demonstrated on a co-flowing, laminar ethylene/air diffusion flame.
DOI: 10.17632/wvy2883bcn
title: Source Data for “Impact-dispersed Fe-Fe1-xS core-shell particles in Chang'e-5 lunar soil impact glass”

description: Source Data for “Impact-dispersed Fe-Fe1-xS core-shell particles in Chang'e-5 lunar soil impact glass” Including TEM-EDS source data, particle size statistical results, drawing source files, etc.
DOI: 10.17632/tjgssdzp97
title: CVZ Cu isotope

description: Table S1 + Figure 1 + Figure 3 + Figure 4 + Figure 6
DOI: 10.6084/m9.figshare.7471934.v1
title: Datasets in the sensitivity analysis

description: Simulated datasets in the sensitivity analysis with the true parameters that generated the data.
DOI: 10.17632/swzhrt5x78
title: Menuju Perencanaan Lansekap Apartemen yang Berkelanjutan Setelah Covid-19:Perencanaan Berdasarkan Fenomena atau Hanya Atas Faktor Landasan Kebutuhan Kapitalisme?

description: Landscape design will always experience development following dynamic human needs and the demands of changing times. With the Covid-19 phenomenon, planning for apartment landscaping needs is a big question where to change, because big cities will always develop and the Covid-19 phenomenon makes disaster management landscape planning a basic consideration that needs to be the basis for breaking down. in which direction new concepts need to be developed. This analysis was carried out qualitatively, trying to analyze and take case examples as well and evaluate them so that elements that need to be considered in the landscape design of apartments in the future can be identified. The results of this study are in the form of a comparison between the 3 cases of apartments built in different periods between 2009-2016. Recommendations for this research are in the form of proposals for regulatory provisions on the ratio of the percentage between the function of housing and commercial infrastructure, implementing existing regulations regarding infrastructure (from the Ministry of Public Works) more consistently, regulatory provisions regarding vegetation rules that are in accordance with environmental rules and the degradation that occurs, the proportion child-friendly playrooms, and reviewing and implementing adaptations of spatial adaptations that occur as adaptations to spatial planning after a pandemic that is oriented towards long-term urban and community sustainability Perancangan lansekap akan senantiasa mengalami perkembangan mengikuti kebutuhan manusia yang dinamis dan tuntutan perubahan zaman. Dengan adanya fenomena Covid-19 juga menjadikan perencanaan kebutuhan lansekap apartemen menjadi pertanyaan besar ke mana akan mengalami perubahan, karena kota-kota besar akan senantiasa berkembang dan fenomena Covid-19 menjadikan disaster management perencanaan lansekap menjadi pertimbangan dasar yang perlu menjadi landasan dalam mem-breakdown ke arah mana konsep-konsep baru perlu dikembangkan. Analisis ini dilakukan secara kualitatif, berupaya menganalisis dan mengambil contoh-contoh kasus pula dan mengevaluasinya sehingga dapat diketahui elemen-elemen yang perlu diperhatikan dalam perancangan lansekap apartemen di masa mendatang. Hasil dari penelitian ini adalah berupa perbandingan antara ke-3 kasus apartemen yang dibangun pada periode berbeda antara tahun 2009-2016. Rekomendasi penelitian ini adalah berupa usulan ketetapan regulasi perbandingan prosentase antara fungsi perumahan dan sarana prasarana komersial, menerapkan regulasi yang ada mengenai sarana prasarana (dari Kementerian PU) secara lebih konsekuen, ketetapan regulasi mengenai aturan vegetasi yang sesuai kaidah lingkungan hidup dan degradasi yang terjadi, proporsi ruang bermain anak yang ramah anak, dan mengkaji serta menerapkan adaptasi adaptasi ruang yang terjadi sebagai adaptasi terhadap perencananaan ruang yang berorientasi keberlanjutan kota dan masyarakat secara jangka panjang.
DOI: 10.17632/fnsnk5kd3t
title: Supplementary Material - FNE

description: Table S1: Full chart of included studies reporting facial and/or neck erythema with dupilumab use 
Table S2: Quality assessment for case reports/series
Table S3: Funding sources of included studies 
References
Prospero protocol 
PRISMA checklist
DOI: 10.17632/93jbn75kkv
title: dataset_profiles

description: movies rated from users. enrichment of the profiles from their rated movies
DOI: 10.17632/chh5w7njwm
title: Data for: Towards a computerized estimation of visual complexity in images: Data to assess the association of computed visual complexity features to human responses in visual tasks.

description: The data contains computerized visual Tasks and subject's performance
DOI: 10.17632/rn5spttp3k
title: Teleseismic P-wave attenuation and upper mantle 3-D Qp structure underneath the eastern Tibetan Plateau

description: Teleseismic P-wave attenuation and Qp model beneath the eastern Tibetan Plateau.
DOI: 10.6084/m9.figshare.4265027.v1
title: Supplementary Material for: Modulation of Microbiota-Gut-Brain Axis by Berberine Resulting in Improved Metabolic Status in High-Fat Diet-Fed Rats

description: <i>Objective: </i>To investigate whether or not berberine could improve metabolic status of high-fat-fed rats through modulation of microbiota-gut-brain axis. <i>Methods:</i>Berberine was administered on high-fat-fed Sprague-Dawley rats. Brain-gut hormones were detected, and changes of gut microbiota were analyzed by 16S rRNA gene sequencing. <i>Results:</i> Berberine could reduce weight gain and lipolysis in the high-fat diet-fed group. Moreover, trends of ameliorated insulin resistance and decreased endogenous glucose production were observed. In addition, the microbiota-gut-brain axis was found to be modulated, including structural and diversity changes of microbiota, elevated serum glucagon-like peptide-1 and neuropeptide Y level, decreased orexin A level, up-regulated glucagon-like peptide-1 receptor mRNA level as well as ultra-structural improvement of the hypothalamus. <i>Conclusion:</i> Taken together, our findings suggest that berberine improved metabolic disorders induced by high-fat diet through modulation of the microbiota-gut-brain axis.
DOI: 10.17632/52z7nxkkz6
title: Data for: Preventing Self-Intersection with Cycle Regularization in Neural Networks for Mesh Reconstruction from a Single RGB Image

description: code and pre-trained model for "Self-Intersection with Cycle Regularization in Neural Networks for Mesh Reconstruction from a Single RGB Image"
DOI: 10.17632/dcj3yvzybr
title: Global horizontal irradiance forecasting code and data

description: For reproducibility purposes, this dataset contains the data and code described in "A deep learning model for intra-day forecasting of solar irradiance using satellite-based estimations in the vicinity of a PV power plant" (https://doi.org/10.1016/j.solener.2021.02.033) There are four main folders in the project: code, data, models and logdir. Data This folder contains all the data used from the studied location: Loc.1 (latitude=40.4º, longitude=6.0º). Sorted by year, month and day, there are three kinds of data: • The files named as just a number are 151x151 irradiance estimates matrices centered in the same location obtained from http://msgcpp.knmi.nl. The spatial resolution is 0.03º for both latitude and longitude. • The files named Real_ are the irradiance measurements at the location • The files named CopernicusClear_ are the clear sky estimates from the CAMS McClear model Each file contains the 96 15-minute samples for the same day in Matlab format and UTC time. Code All the python scripts used to train the neural networks and perform the forecasts. The main files are: • tf1.yml: List of the modules and versions used. A clean Anaconda environment created from this file can run all the code in the project. • learnRadiation.py: The script to train a new model. Changing the “paper_model_name” variable selects the kind of model to fit. • predictOnly.py: Loads a trained model and performs the forecast. Notice that the model must match the one used to train the model stored in the “training_path” folder Models This folder contains all the trained models and their forecasting results. There is also a training folder to contain the last trained model. Logdir This folder stores Tensorboard files during training How to train and test a model A new model can be trained using “learnRadiation.py”. This script has two parameters • paper_model_name: This sets the inputs to match the ones used in the models from the article. • training_path: The folder to save the trained model Then the “predictOnly.py” script allows performing the forecasts. It is important to set the same parameters as in the “learnRadiation.py” script. This program will generate the predictions and save them in the model folder. It also plots some days, which can be modified at the bottom of the script. For instance, in order to train the TOA & all real model we would run: "python learnRadiation.py TOAallreal training" This will train the neural network and save the results in the folder models/training. After this, we would generate the results and plot some days using: “python predictOnly.py TOAallreal training” This will save the forecasts and real values in the training folder and show figures with 1 to 6 hour forecasts The models used for the article can also be evaluated by using predictOnly.py and targeting their folders. For instance, to evaluate the TOA & all real model used in the article, this command must be used: “python predictOnly.py TOAallreal RtoaAllReal”
DOI: 10.17632/mgd4h2vnzd
title: Dataset on business managers' perceptions of cloud computing adoption

description: This is analytical proofs and raw data for study regarding on 'Dependability of cloud computing". This data includes a multi-faceted dependability such as availability, reliability and security. We hope that this data will be used for a study in respect to all kind of dependability.

○	File
- Title: data file
- Description: This file contains raw data for the dependability-related attributes.
DOI: 10.17632/kddwp4k7ff
title: Optical coherence tomography image dataset of textile fabrics 

description: Optical coherence tomography (OCT) images of textile fabrics were taken. The OCT scans of fabrics that consisted of solely wool, cotton or polyester were recorded. For each material type three different fabrics were measured with an OCT imaging system. In total 9 different fabrics (3 wool, 3 polyester and 3 cotton) were each scanned at least 120 times on separate places on their surface. The zip file contains all the images in separate folders. The folder Polyester2 contains OCT images of the second polyester fabric sample. To have roughly uniform data across samples, the scans were fixed at 2mm for each image and recorded in portable network graphics format.  The fabric data were separated into three categories.  Group 1, 2 and 3 consisted of fabrics made out of only cotton, wool and polyester, respectively. These can be utilized as the labeled dataset for the classes in the deep learning training. We make this labelled OCT fabric type data set public. Moreover this public data can be used to  test existing machine learning algorithms.  Automated material classification and recycling can be accomplished via these deep learning networks.  The uploaded data consists of raw OCT images, all in portable network graphics format in 9 separate folders.  Each folder contains OCT scans taken from random places over one of the fabrics only. Therefore folders Wool1, Wool2 and Wool3 each consist of OCT scans of three separate fabrics that consisted of purely wool fibres.  Similarly folders Cotton1, Cotton2 and Cotton3 consist of OCT scans of three separate fabrics that consisted of purely cotton fibres.  Again folders Polyester1, Polyester2 and Polyester3 consist of OCT scans of three separate fabrics that consisted of purely polyester. The scans are raw OCT-B  image files saved through the ThorImage software program of the Thorlabs OCT Imaging System.  Note that no extra image processing or filtering was performed on the  raw OCT images.  Each OCT scan is a separate image, with the time and date of the scan stamped in the corresponding portable network graphics file name.    The file in Folder Wool1 with name OCTImage 053324_07172020.png therefore corresponds to an OCT scan of the first wool fabric taken at 05:33:24 on July 17, 2020.   Wool2 folder consists of OCT scans of  only the second fabric woven from wool.  Correspondingly; folders Cotton1, Cotton2 and Cotton3 consist of OCT scans of three separate fabrics that consisted of purely cotton fibres.  Likewise; folders Polyester1, Polyester2 and Polyester3 consist of OCT scans of three separate fabrics that consisted of purely polyester.
DOI: 10.17632/yb64m58778
title: Ijtihad Journal for Islamic and Arabic Studies in Europe Issue 2/2024

description: The second issue of Ijtihad Journal for Islamic and Arabic Studies features an editorial article and eleven academic contributions, including three articles in English and eight in Arabic. The issue also includes three reviews in English, French, and Arabic, as well as one translation. Additionally, it introduces new sections, namely: News of the Ijtihad Center, New Publications, and Miscellaneous.
The editorial article, authored by the editor-in-chief and director of the journal, Dr. Tijani Boulaouali, explores the significance of the internal approach to Islam in Europe and the West and provides an overview of the issue's contents.
This issue is enriched by valuable academic contributions from researchers of various generations, specializations, contexts, and languages. It addresses a range of Islamic topics relevant to Europe and the West, such as Sham Divorce and the Jurisprudence of the Friday Sermon in the European Context, The Pantheistic Reading of Islam, The Obscenity of Adultery in Judaism and Islam, and The Intellectual Capital of Participatory Banks in the Knowledge Economy, among others.
DOI: 10.17632/dd3sfzgg8m
title: Online shopping festival experiment

description: The behavioral and ERP Data of online shopping festival experiment
DOI: 10.17632/rd8c7fjrs8
title: Dataset of well-known Thai cannabis plants

description: Cannabis Classes in Thailand are well recognized. In order to be useful for researchers or interested people, Plants of 8 Thai cannabis classes are shared in this data set. The pictures of data set are plants of cannabis.
DOI: 10.17632/ghk2df4cvc
title: All Floors 30 days of data

description: Column Definitions Fall Risk Score This column displays the most recent fall risk assessment score for a patient in this encounter. Values from pended flowsheet data will display appended with a (P). /Age/Sex This column displays the patient's name, age, and sex. The information displays (Age M/F) format. This information is retrieved by extension 34203-IP Patient Name Age Sex. The age is calculated by subtracting the Date of Birth (I EPT 110) item from the current date. The Time of Birth (I EPT 111) item can also be used in the calculation to find age in hours. The sex is retrieved from the Sex (I EPT 130) item. Primary Prob This column displays the patient's primary problem. Extension record 34078-IP/RWB Primary Problem retrieves this information from the Patient (EPT) and Problem List (LPL) master files. Other factors are assessment score given by the nurses and patients existing health condition.
DOI: 10.17632/9y2njzp75r
title: A dataset for "A high-performance WAAM process for Al-Mg-Mn using controlled short-circuiting metal transfer at increased wire feed rate and increased travel speed"

description: In the study, a high-performance controlled short-circuiting metal transfer process at a wire feed rate of 12 m/min for WAAM with an Al-Mg-Mn alloying system was developed. The arc current and voltage waveforms were studied by oscillograms processing and then modified to reduce energy input in comparison with a self-regulated gas metal arc welding process. The newly developed process was implemented in manufacturing of the sample parts at a travel speed of up to 150 cm/min. Modified waveforms in a combination with an increased travel speed led to a decrease in heat input, which appeared to be 16% lower than that of a conventional self-regulated process. Decreased heat input lead to an improvement of the geometry preservation stability at high process rates (up to 2.2 kg/h). The mechanical properties study showed that the elongation of the tensile samples was up to 41%, the increase in elongation was explained through macro- and microstructure analysis. The provided data shows remarkable tensile test results and remarkable macro- and microstructure images, which were used to evaluate porosity and grain size in the study of the deposited metal properties. High-speed video of a metal transfer during deposition using the newly developed process along with a high-speed video of a wire feeding process are also presented in this dataset.
DOI: 10.17632/dhkntt7x4w
title: Dynamometric and Non-Dynamometric Normal Reference values of Trunk Musculature Performance in individuals with different Body Composition 

description: Trunk muscles are very helpful to stipulate continuous effort throughout the day. They are able to slog when they are having sufficient endurance or else it can be able to cause low back pain if the endurance is inadequate. Through the assessment of trunk muscle performance one can easily predict the onset or episodes of low back pain. There is no such evidence which states the normative reference values of Dynamometric and Non-dynamometric tests with respect to different body composition. Dynamometric testing can be done with the help of Back leg chest dynamometer and modified Sorensons method is used for Non-Dynamometric testing of the trunk muscles. Muscle performance testing is very important to check the strength and endurance of trunk musculature so as to determine the deconditioning and plan various rehabilitation approaches accordingly.This study is a cross-sectional study in which male and female healthy participants having age of 19-40 years was recruited for the study. Sampling has been done by Stratified random sampling method. Informed consent was taken from the recruited participants prior to the participation in the study.
DOI: 10.17632/w3rnvtxmbb
title: Milk Collection Problem Data Set

description: Milk Collection Problem Data Set
DOI: 10.6084/m9.figshare.3202006.v3
title: It Takes Teamwork to Make the Dream Work: Delivering data management services in a team based environment

description: Poster presented at the 2016 RDAP Summit by Florida State University Libraries. This poster captures the process of developing and delivering data management services in team setting.<br>Handout illustrating the typical workflow of a data management consultation is also included. <br><br>
DOI: 10.17632/h67ndkc9h4
title: THE CATECHOLAMINE RESPONSE TO GRADED HIGH-ALTITUDE FLIGHT IN YELLOW-RUMPED WARBLERS (SETOPHAGA CORONATA)

description: Dataset for the manuscript entitled the same.