cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bpt2hvf8n3
title: Multi-Keyboard Acoustic (MKA) Datasets

description: Our research team from the Computer Science Department at the University of Halabja has developed an innovative dataset collection named the Multi-Keyboard Acoustic (MKA) Datasets. The Multi-Keyboard Acoustic (MKA) Datasets, designed to aid in keyboard sound recognition and analysis, address the critical need for defending against acoustic-based cyber threats. With the increasing sophistication of cyberattacks, focusing on keyboard acoustics is particularly timely. The MKA Datasets encompass detailed recordings from six commonly used platforms: HP, Lenovo, MSI, Mac, Messenger, and Zoom. Each platform's dataset includes raw recordings, segmented sound files, and matrices derived from these sounds, capturing the subtle variations in typing behavior across different devices and applications.
 
We meticulously organize the MKA datasets to facilitate ease of use and thorough analysis. Each platform has a dedicated folder containing subfolders for raw data, segmented sound files, and matrices. Additionally, an aggregated folder combines data from all platforms, providing a broad spectrum for cross-platform analysis. In total, the MKA datasets consist of around 2630 files with.wav extensions for sound segments, as well as an equal number of matrix and.txt files. The number of files varies by platform, with approximately 70 files for HP, Lenovo, MSI, Zoom, and Messenger, and 61 files for Mac. Within each platform's dataset, the "Sound segments" folder stores six one-second WAV audio excerpts derived from the corresponding raw data files for each class, renamed using a convention of "class_name+1" to "class_name+6" for each platform individually and "class_name+platform_name1" to "class_name+platform_name6" for the aggregated datasets. The "Sound segment (.matrix)" folder contains feature representations, such as MFCCs, extracted from each sound segment. Additionally, the "Sound segment metadata (.txt)" folder holds detailed information for each sound segment, including recording conditions, platform information, and keystroke class labels.
 
Beyond cybersecurity, the MKA datasets have potential applications in domains such as speech recognition and natural language processing. The datasets, which provide a diverse set of sound profiles, support the development of more robust and adaptable algorithms in these fields. The versatility of the MKA datasets makes them an invaluable tool not only for advancing cybersecurity research, but also for improving the efficiency and accuracy of human-computer interaction technologies. Through our comprehensive approach, we aim to contribute significantly to both academic research and practical applications in these interconnected areas.
DOI: 10.6084/m9.figshare.29078837.v1
title: Mann Whitney U Test and Shapiro Normality Test

description: Mann Whitney-U test for native vs. invasive populations in .qmd file. The csv file is included with all diversity indices for all native and invasive populations included in the study.
DOI: 10.6084/m9.figshare.19573126.v1
title: Tabla 4: Comparativa de las características del PC (CSTA & ISTE; 2011) trabajadas en los distintos softwares/entornos/aplicaciones.

description: Tabla c<strong>o</strong>mparativa de las características del PC (CSTA & ISTE; 2011) trabajadas en los distintos softwares/entornos/aplicaciones.
DOI: 10.6084/m9.figshare.10008092.v1
title: Conspiracy Study 1 and 2

description: Conspiracy datasets 1 and 2
DOI: 10.6084/m9.figshare.19661523.v1
title: High_quality_NHMAG

description: The NHMAG dataset.
DOI: 10.6084/m9.figshare.25726470.v1
title: Vehicles

description: The dataset was created for training an algorithm, whose main aim is to detect military equipment from UAV video using modern artificial intelligence and machine learning technologies.
DOI: 10.6084/m9.figshare.13724869.v1
title: C:N:P stoichiometry in terrestrial ecosystems in China.xlsx

description: C:N, C:P, and N:P ratios calculated using community biomass-weighted method in different plant organs (leaves, branches, trunks, and roots) and different ecosystem components (plant communities, litter, soils, and ecosystems) in different biomes (forests, grasslands, and deserts) in China
DOI: 10.6084/m9.figshare.22085060.v6
title: Population and GDP/GNI/CO2 emissions (2019, raw data)

description: Original dataset The original year-2019 dataset was downloaded from the World Bank Databank by the following approach on July 23, 2022. <strong>Database:</strong> "World Development Indicators" <strong>Country:</strong> 266 (all available) <strong>Series:</strong> "CO2 emissions (kt)", "GDP (current US$)", "GNI, Atlas method (current US$)", and "Population, total" <strong>Time:</strong> 1960, 1970, 1980, 1990, 2000, 2010, 2017, 2018, 2019, 2020, 2021 <strong>Layout:</strong> Custom -&gt; Time: Column, Country: Row, Series: Column <strong>Download options:</strong> Excel Preprocessing <br> With libreoffice, remove non-country entries (lines after Zimbabwe), shorten column names for easy processing: Country Name -&gt; Country, Country Code -&gt; Code, "XXXX ... GNI ..." -&gt; GNI_1990, etc (notice '_', not '-', for R), remove unnesssary rows after line Zimbabwe.
DOI: 10.6084/m9.figshare.27935058.v2
title: Effects of ecological restoration on soil organic carbon

description: Effects of natural regeneration and active restoration on soil aggregate organic carbon
DOI: 10.6084/m9.figshare.3985383.v1
title: Supplementary Material for: Intravenous Immunoglobulins Lower Inflammatory Gene Expression in Skin Biopsies of Chronic Inflammatory Demyelinating Polyradiculoneuropathy Patients

description: No Abstracts
DOI: 10.17632/w384f2d8fh
title: Internet Banking Data in Tunisia

description: This dataset consists of 871 observations of internet banking users and non-users in Tunisia (differentiated by the variable usage: 0: non-user; 1: user). It contains information about respondents' personality traits (technology anxiety and personal innovativeness in IT), emotions experienced during the last service use and level of commitment. It also contains demographic variables (age, gender, education level, revenue, bank) and a variable containing reasons why non-internet banking users are not adopting the technology.
DOI: 10.6084/m9.figshare.28079147.v2
title: Augmented dataset

description: augmented non-deterministic dataset through MCMC and the auxiliary SWAP model
DOI: 10.17632/hb74ynkjcn
title: A Database of Leaf Images: Practice towards Plant Conservation with Plant Pathology

description: The relationship between the plants and the environment is multitudinous and complex. They help in nourishing the atmosphere with diverse elements. Plants are also a substantial element in regulating carbon emission and climate change. But in the past, we have destroyed them without hesitation. For the reason that not only we have lost a number of species located in them, but also a severe result has also been encountered in the form of climate change. However, if we choose to give them time and space, plants have an astonishing ability to recover and re-cloth the earth with varied plant and species that we have, so recently, stormed. Therefore, a contribution has been made in this work towards the study of plant leaf for their identification, detection, disease diagnosis, etc. Twelve economically and environmentally beneficial plants named as Mango, Arjun, Alstonia Scholaris, Guava, Bael, Jamun, Jatropha, Pongamia Pinnata, Basil, Pomegranate, Lemon, and Chinar have been selected for this purpose. Leaf images of these plants in healthy and diseased condition have been acquired and alienated among two separate modules. 

Principally, the complete set of images have been classified among two classes i.e. healthy and diseased. First, the acquired images are classified and labeled conferring to the plants. The plants were named ranging from P0 to P11. Then the entire dataset has been divided among 22 subject categories ranging from 0000 to 0022. The classes labeled with 0000 to 0011 were marked as a healthy class and ranging from 0012 to 0022 were labeled diseased class. We have collected about 4503 images of which contains 2278 images of healthy leaf and 2225 images of the diseased leaf. All the leaf images were collected from the Shri Mata Vaishno Devi University, Katra. This process has been carried out form the month of March to May in the year 2019. The images are captured in a closed environment. This acquisition process was completely wi-fi enabled. All the images are captured using a Nikon D5300 camera inbuilt with performance timing for shooting JPEG in single shot mode (seconds/frame, max resolution) = 0.58 and for RAW+JPEG = 0.63. The images were in .jpg format captured with 18-55mm lens with sRGB color representation, 24-bit depth, 2 resolution unit, 1000-ISO, and no flash. 

Further, we hope that this study can be beneficial for researchers and academicians in developing methods for plant identification, plant classification, plant growth monitoring, leave disease diagnosis, etc. Finally, the anticipated impression is towards a better understanding of the plants to be planted and their suitable management.
DOI: 10.6084/m9.figshare.19196594.v1
title: Data folder

description: Zip folder containing all of the experimental data and plots.
DOI: 10.6084/m9.figshare.12928418.v2
title: A novel multi-stage ensemble model with K-means based undersampling: An application in credit scoring

description: Three datasets from the UC Irvine (UCI) machine learning repository, i.e., the Australian, Japanese, German (Asuncion & Newman, 2007) were adopted for the current study. AER credit dataset (Greene, 2003), which is a credit card dataset for econometric analysis.
DOI: 10.6084/m9.figshare.14671980.v1
title: an2019

description: GWAS summary statistics from the Psychiatric Genomics Consortium (PGC)
DOI: 10.6084/m9.figshare.25315975.v4
title: TCGA cancer/normal genomic and clinical data and pathway information

description: TCGA cancer (LUAD_NEW, and BRCA_NEW)/normal (LUAD2_NEW, and BRCA2_NEW) genomic and clinical data and pathway information (GO-BP, GO-CC, GO-MF)
DOI: 10.6084/m9.figshare.26978119.v1
title: GCAM outputs that consider the climate change impacts

description: This dataset provide the GCAM outputs that used in study:Probing the role of climate change-induced forest productivity change in future land use and land cover change projection.Meng Luo1, Xin Zhao2, Dalei Hao3, Ben Bond-Lamberty2, Adam Daigneault4, Pralit L Patel2, Hamid Dashti1, Min Chen11Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, United States. 2Joint Global Change Research Institute, Pacific Northwest National Laboratory, United States. 3Atmospheric, Climate, & Earth Sciences Division, Pacific Northwest National Laboratory, United States. 4School of Forest Resources, University of Maine, United States.Corresponding author: Min Chen (min.chen@wisc.edu)
DOI: 10.6084/m9.figshare.26089262.v1
title: HiGTS_2014s4

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2014s4 contains the data from October 1, 2014 to December 31, 2014.
DOI: 10.6084/m9.figshare.27926655.v1
title: Emotional impact according to the way cancer patients are conducted to the surgical center: a randomized clinical trial comparing ambulation to the stretcher

description: This study aimed to evaluate anxiety, depression and satisfaction of cancer patients according to the type of conduction to the surgical center. A randomized clinical trial was carried out at Barretos Cancer Hospital from 2019 to 2021. One hundred seventy-six patients were enrolled: 94 in the control group (conduction to the surgical center on a stretcher and pajamas) and 82 in the experimental group (conduction to the surgical center by ambulation in one's own clothes). The Hospital Anxiety and Depression Scale (HADS) was used to assess the levels of anxiety and depression, and the Surgery Health Care Satisfaction Assessment Questionnaire (Sati-Cir) to assess the patient's satisfaction. There was no difference regarding anxiety and depression symptoms between groups, 15 (18.3%) and 20 (21.3%) patients had anxiety symptoms in the ambulation group and in the stretcher group, respectively (p = 0.621). Six (7.3%) patients in the ambulation group and 4 (4.3%) met the criteria for depression (p = 0.518). Compared to those who were referred to the surgical center on a stretcher, those in the ambulation group were more often satisfied or very satisfied according to the waiting time until surgery (91.5% vs 74.5%; p = 0.008) and type of clothing, own clothes compared to pajamas (100% vs 79%; p = 0.001). When all patients were asked about their preferred method of going to the surgical center, 70.5% chose to walk in their own clothes, 28.4% preferred a stretcher, and 1.1% opted for a wheelchair (p &lt; 0.001). The transportation method to the surgical center did not affect anxiety and depression levels in cancer patients with no or low fall risk. However, patients in the ambulation group were more satisfied with the waiting time for surgery and the type of clothing.
DOI: 10.17632/s6wmy7ks4n
title: Eye movements data for The effects of restrictiveness on relative clause processing in Farsi

description: Description 

We investigated whether there is any processing asymmetry between Farsi object and subject relative clauses and whether restrictiveness affects processing relative clauses by L1 Farsi speakers. To this end, with an eye-tracking method, we tested the effect of Clause Type and Restrictiveness in Farsi relative clauses. 

Forty-two Iranian Farsi speaking students at the University of Groningen participated in the experiment voluntarily. They were tested individually in the eye lab at the University of Groningen. Eye movements were recorded using a Tobii 1750 Eye tracker, interfaced with a laptop. The sampling rate was 50 HZ. The materials for this experiment consisted of 36 items, each consisting of four sentence versions. Initially, the items were adapted from Staub (2010) and Staub et al. (2017). For the present experiment, the items were translated into Farsi carefully and non-restrictive versions were added to the material. 

We divided the Farsi relative clause sentences into six regions: the antecedent, complementizer که /ke/, embedded noun phrase in the relative clause, embedded verb phrase in the relative clause, pre-matrix verb region, and matrix verb. 

For each region, four reading time measures of first-pass reading time (FP) or gaze duration, First-pass total reading time, Regression path duration (RPD), and Total reading time (TRT) were compared. Statistical analysis was conducted using linear mixed-effects models of the reading times. We used R (R Core Team, 2019) and the lme4 package (Bates et al., 2015) to predict the times of the eye movement measurements (first-pass, first-pass total, total reading time, regression path duration) based on Clause Type (subject versus object) and Restrictiveness (Restrictive versus Non-restrictive). 

As random effects, we included intercepts for subjects and items. We used treatment coding: The subject relative was the baseline for Clause Type and the restrictive condition was the baseline for Restrictiveness. First, we created a model with the main effects and then compared it with the model with the interaction. In the models, the subject relative was the baseline for Clause Type and the restrictive condition was the baseline for Restrictiveness. In the case of an interaction, an extra analysis was run to test the effect of Clause Type in the non-restrictive condition by changing the baseline for Restrictiveness into the non-restrictive condition.
DOI: 10.26181/12061749.v4
title: Physical activity and investigation with magnetic resonance imaging partly explain variability in the prevalence of patellar tendon abnormalities: A systematic review with meta-analysis of imaging studies in asymptomatic individuals

description: Data extraction for full-texts included in systematic review <br>Docking et al (2021) Physical activity and investigation with magnetic resonance imaging partly explain variability in the prevalence of patellar tendon abnormalities: A systematic review with meta-analysis of imaging studies in asymptomatic individuals. <i>Journal of Orthopaedic and Sports Physical Therapy. </i>51(5)216-231 doi:10.2519/jospt/2021.10054<br>Prospero registration: CRD42018088087
DOI: 10.6084/m9.figshare.22014491.v2
title: DFT computational data.rar

description: The relevant QTAIM, ESP, and NCI analysis files and the corresponding Gaussian 09 output files for the key intermediates and transition states
DOI: 10.6084/m9.figshare.11804244.v1
title: HOW DO CHILDREN TAUGHT WITH A PHONIC METHOD ANSWER TASKS WHICH EVALUATE PHONEMIC AWARENESS?

description: ABSTRACT: We discuss the relationships between several abilities of phonemic awareness and reading performance showed by 20 children who were concluding first grade, having understood the alphabetic principle, and who were taught with phonic methods in public schools. They answered nine phonemic awareness tasks and three reading tasks (words, phrases and text). In most phonemic awareness tasks average performance was equal or less than 60%. Children only read well in the words task and it correlated with few abilities of phonemic awareness. Qualitative analysis showed that children thought mainly about letters or syllables and hardly could pronounce phonemes. Our data question the relevance of methods of literacy teaching which emphasize the pronunciation of isolated phonemes as a requisite for the learning of reading and writing in Portuguese.
DOI: 10.17632/f2wyvx8fgk
title: Supplemental files for "Establishing Cell Painting in a Smaller Chemical Biology Lab - A Report from the Frontier"

description: Pipelines for extraction data in Cell Profiler 2.1.1 from Cell Painting. R script to perform datatreatment in R. Pipeline to calculate protein synthesis from Cayman OPP assay. For full information, see the article to which this data is linked.
DOI: 10.6084/m9.figshare.12967148.v1
title: FitnessTracking_DataAuthorizationDocuments

description: COLLECTION ITEM:Data Authorization Documents<br>COLLECTION TITLE:2020_PiccininiEtAl_FitnessTracking_Video<br>ARTICLE (when using this file, please, cite the following article):Filippo Piccinini, Giovanni Martinelli, Antonella Carbonaro, "Accuracy of mobile applications versus wearable devices in long-term step measurements". 2020.<br>DESCRIPTION OF THE FILES IN THE COLLECTION:Authorization documents to process personal data<br>ITEM TYPE (selected from those available):PDF manually signed.<br>MAIN CONTACT FOR THESE FILES:Dr. Filippo Piccinini, PhD, IRST IRCCS Meldola Italy. Email: filippo.piccinini85@gmail.com<br>MAIN AFFILIATIONS FOR THIS PROJECT:1) Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola (FC), Italy.2) University of Bologna, Italy.<br>PROJECT DESCRIPTION:The Project focuses on challenges and opportunities today available to improve people’s well-being using IoT self-tracked Health Data. Recent statistics have shown that around 50% of people in developed countries make use of wearable devices to monitor fitness or physical activity (PA). Practically, people can constantly monitor their health status in an unobtrusive way at no cost and the great amount of patient-generated health data today available gives new opportunities to measure life parameters in real time and create a revolution in communication for professionals and patients. All the modern smartphones and fitness trackers are equipped with accelerometers that record accelerations in one or more planes. These data elements are processed into more meaningful variables, such as step counts; time spent in sedentary, light, moderate, or vigorous PA; and flights of stairs climbed. Besides discussing the current limits of the fitness tracking technologies, we supported the usage of wearable devices for mHealth and in general oncology-related analysis about cancer prevention, cancer treatment, and survivorship.<br>PROJECT CATEGORY (selected from those available):Computer Vision<br>PROJECT KEYWORDS (selected from those available):oncology; fitness training; wearable sensors; physical activities; statistical inference.<br>LICENCE (selected from those available):GPL 3.0+
DOI: 10.6084/m9.figshare.14236835.v1
title: Supplementary Material for: An Open-Label Randomized Controlled Trial Comparing the Efficacy and Safety of Pemetrexed-Carboplatin versus (Weekly) Paclitaxel-Carboplatin as First-Line Chemotherapy in Advanced Non-Squamous Non-Small Cell Lung Cancer

description: <b><i>Background:</i></b> Before the approval of first-line immune checkpoint inhibitors, platinum doublets were the standard of care in patients with treatment-naïve advanced non-small cell lung cancer (NSCLC) without targetable driver mutations. Pemetrexed-platinum combinations are preferred in non-squamous NSCLC. However, there has been no direct comparison to paclitaxel-carboplatin. <b><i>Methods:</i></b> This open-label randomized trial was designed to compare pemetrexed-carboplatin with (weekly) paclitaxel-carboplatin in treatment-naïve advanced/metastatic non-squamous NSCLC without driver mutations. Patients received either pemetrexed 500 mg/m<sup>2</sup> and carboplatin AUC 5 every 3 weeks, or paclitaxel 80 mg/m<sup>2</sup> on day 1, day 8, and day 15 with carboplatin AUC 5 every 4 weeks for 4 cycles. Patients in both arms were allowed to receive pemetrexed maintenance. <b><i>Results:</i></b> A total of 180 patients were enrolled. The study was terminated early; however, at the time of analysis 75.8% of the required events had occurred. Finally, 164 patients were evaluable, 83 in the pemetrexed arm and 81 in the paclitaxel arm. After a median follow-up of 17 months, progression-free survival (PFS) rates at 6 months were not different in the two treatment arms (47.45 vs. 48.64%, <i>p</i> = 0.88). The median PFS values were 5.67 months (95% CI 3.73–7.3) and 5.03 months (95% CI 2.63–7.43) in each arm, respectively (HR 1.13, 95% CI 0.81–1.59, <i>p</i> = 0.44). The median overall survival was also not different: 14.83 months (95% CI 9.5–18.73) and 11.3 (95% CI 8.3–19.7; HR 1.19, 95% CI 0.8–1.78, <i>p</i> = 0.37). All grade toxicities were similar except for alopecia and peripheral neuropathy, which were higher in the paclitaxel arm. <b><i>Conclusion:</i></b> Pemetrexed-carboplatin is not superior to (weekly) paclitaxel-carboplatin as the first-line regimen in advanced non-squamous NSCLC in terms of PFS.
DOI: 10.6084/m9.figshare.29160248.v1
title: data set the creative process of brand films.pdf

description: Qualitative dat set referred to "The Creative Process of Brand films: Exploring Patterns Applied at Cannes Lions Winning Campaigns, 2023". To identify and outline the characteristics of brand films and the production processes they require, <b>in-depth interviews</b> were conducted with five international experts in branded content<b>. The questionnaire provided to the experts contained ten questions </b>focusing on the role of the brand in the creation of an audiovisual branded entertainment story. The interviews were conducted in Spanish, Italian, or English, ensuring clarity and fostering an international framework. <b>The responses were processed through inductive content analysis, aiming to compare content, identify patterns, and deduce explanatory arguments applicable to case studies.</b>
DOI: 10.6084/m9.figshare.5913439.v1
title: Digital humanities and academic libraries - an Australasian survey

description: In 2016 the authors conducted a survey of Australian and New Zealand University libraries to determine the level of involvement by the library in digital humanities activities at each institution. This fileset contains the raw (de-identified) survey results and a brief analysis of the data.