cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5x4kyzrvgw
title: Supporting Data for Modeling of randomized hepatitis C vaccine trials: bridging the gap between controlled human infection models and real-word testing

description: Supporting Data for "Modeling of randomized hepatitis C vaccine trials: bridging the gap between controlled human infection models and real-word testing" to appear in PNAS Nexus.

Abstract: Global elimination of chronic hepatitis C (CHC) remains difficult without an effective vaccine. Since injection drug use is the leading cause of hepatitis C virus (HCV) transmission in Western Europe and North America, people who inject drugs (PWID) are an important population for testing HCV vaccine effectiveness in randomized-clinical trials (RCTs). However, RCTs in PWID are inherently challenging. To accelerate vaccine development, controlled human infection (CHI) models have been suggested as a means to identify effective vaccines. To bridge the gap between CHI models and real-world testing, we developed an agent-based model simulating a two-dose vaccine to prevent CHC in PWID, representing 32,000 PWID in metropolitan Chicago and accounting for networks and HCV infections. We ran 500 trial simulations under 50% and 75% assumed-vaccine efficacy (aVE) and sampled HCV infection status of recruited in silico PWID. The mean estimated vaccine efficacy (eVE) for 50% and 75% aVE was 48% (standard deviation (SD ±12) and 72% (SD±11), respectively. For both conditions, the majority of trials (~71%) resulted in eVEs within 1SD of the mean, demonstrating a robust trial design. Trials that resulted in eVEs &gt;1SD from the mean (lowest eVEs of 3% and 35% for 50% and 75% aVE, respectively), were associated with imbalances in acute infection rates across trial arms. Modeling indicates robust trail design and high success rates of finding vaccines to be effective in real-life trials in PWID. However, with less effective vaccines (aVEs~50%) there remains a higher risk of concluding poor vaccine efficacy due to post-randomization imbalances.

The three folders contain data and Stata code for the 3 simulation conditions:

 1) “monthly 50” : monthly testing, 50% assumed vaccine efficacy

 2) “monthly 75” : monthly testing, 75% assumed vaccine efficacy

 3) “biweekly 50” : biweekly testing, 50% assumed vaccine efficacy

Each folder contains:

 - A subfolder holding data from 500 simulations in the form of 500 .csv files (events_history_1.csv, etc.), 500 files containing summary data computed in-simulation, (summarytable_1.csv, etc.), and an .xml file with the batch parameters

 - Three Stata command files:

 1. A program that imports the raw data, computes outcomes, and posts the results

 2. A program that imports and consolidates the summary data

 3. A program to analyze the outcome data created by #1

 - Two Stata data files

 1. The outcome data created by program #1

 2. The consolidated summary data

 - A Stata log file showing the results of the meta-analysis


The “monthly 50” folder contains a fourth Stata program to compare the outcomes from monthly and biweekly testing simulations.
DOI: 10.17632/dtbm7n6npz
title: soMLier Vivino Rating Data

description: This dataset consists of 278,765 ratings made by 92,514 users for 1,640 wines; all ratings (made in the interval [1, 5] in increments of 0.5) of these wines were scraped from Vivino.com during August 2021. This data can be used to develop and compare recommender systems that make use of collaborative filtering or matrix factorisation, for example. This data is already partitioned (at random) into training, validation and test sets in the proportions 70%, 20% and 10% respectively. Note that each user exists in the training set, but not all users are present in the validation or test sets.  
The data can be extracted in R using load('VivinoRatingData.RData'). This data consists of a training ratings matrix 'set.train' consisting of 92,514 user rows and 1,640 wine columns where the column names correspond to the Vivino wine ID. 'known.position' is a list of all the matrix indices which contain a known value - some of these values are NA as they have been hidden in the valid or test sets. Likewise, 'test.position' and 'valid.position' contain the matrix indices of the ratings hidden in the test and valid sets, respectively. 'set.test' and 'set.valid' contain the rating values hidden from the matrix 'set.train'.
For example, set.train[valid.position[1:3]] = {Na, Na, Na} are the first 3 validation ratings hidden in the training set - their corresponding rating values are set.valid[1:3] = {4, 3.5, 4}.
DOI: 10.17632/vd44d4gscp
title: Data Article on Soft Skills and Employability

description: Data from an article about the influence of soft skills on employability.
DOI: 10.17632/c5bsfc2648
title: Long-term morphometric data of short-finned pilot whales (Globicephala macrorhynchus) from aerial photographs off the Canary Islands (Eastern North Atlantic)

description: Long term database of morphometric measurements of short-finned pilot whales off the Canary Islands (Eastern North Atlantic population) from aerial photographs. Includes absolute body length measurements of the whales and proportional measurements of their body at 5% increments from rostrum. For further information please contact arranz@ull.edu.es. University of La Laguna, Tenerife, Spain.
DOI: 10.17632/zbd4vjmzsy
title: Icu pressure woud factor

description: 
What are the factors that cause pressure ulcers in our ICU.
The list examines all patients admitted to our ICU from 01/01/2019 to 31/12/2019 with age >18 years who remained at least 72 hours, without pressure ulcers on admission. the first two columns contain the patient ID
Column C gender
Column D Days in ICU
Column F Diabetes
Col G Ulcer on admission
Col H Patients who developed lesions during hospital stay
Col I Day of hospitalisation when ulcer appeared
J area of body where lesion developed
K stage of lesion found
L patient's age
M Weight in Kg of patient
N Height in Metres of patientw
O Body Mass Index
Columns P to U type of admission
Column W to Z comorbidities present on patient
Column AA days of Amine administration (norepinephrine, epinephrine or dobutamine)
Column AB days of administration of Midazolam
Column AC days of administration of Propofol
Col AD days of administration of Rocuronium
Col AE AF AG describe feeding 
AE Whether administered or not
AF How many days it was administered
AG The percentage of feeding days out of the total number of days of hospitalisation.
Feeding was only considered effective if at least 15Kcal /kg/24h was administered

Column AH if the patient had dialysis
Column AI how many days the patient was connected by orotracheal tube to the ventilator
Column AJ the percentage of days of invasive ventilation out of the total number of days of hospitalisation.
Column AK value of SAPS II on admission
Column AL value of albumin on admission
Column AM Haemoglobin value on admission
Column AN Blood Sodium value on admission
Column AO Haemoglobin value on day 7 of admission
Column AP Blood sodium value on day 7 of hospitalisation
Column AQ Haemoglobin value on day 14 of hospitalisation
Column AR Blood sodium value at day 14 of hospitalisation

The data were collected during the 2020s by analysing the computerised medical records via Dragher's Innovian softwere by the ward nursing staff.

The second word file shows the statistical analysis of the data, which were compared in relation to the occurrence of pressure ulcers by means of univariate and multivariate analysis.
The data show that age, length of stay, dialysis, vasopressors, SAPS II and the presence of albumin were the most influential risk factors for the development of pressure ulcers in our intensive care unit.
DOI: 10.17632/9brnm3c39k
title: Cracks In Concrete Structures (CICS) Dataset

description: A drone (phantom4 pro) with a 20 M Pixel and full HD camera was used to prepare images of concrete structures in campus of Imam Khomeini International University and Qazvin city in Iran. Various of concrete structures, using concrete cement type 2 and grade 250 to 300 were considered to collect images. The information provided by phantom4 pro was saved as color images and videos which resulted in the storage of 900 images with 4k resolution. The stored color images were first converted to grayscale images, and then, each of the 900 grayscale images was divided into small images with 330×330 pixels resolution. Then, 12000 grayscale images with the size of 330×330 pixels were created. These images were classified visually into three classes (without crack, simple crack, and multibranched crack). Finally, these images named as Cracks In Concrete Structures (CICS) dataset consists of three folders. The folder names reflect the shape of the contained images. There are 4000 images without crack, 4000 simple crack images, and 4000 images with multibranched crack.
DOI: 10.17632/tpy7pk8sbc
title: Dataset for HP PCM, MF PCM and HP MF PCM 

description: Dataset for HP PCM, MF PCM, and HP MF PCM
DOI: 10.17632/9dyc5bk36n
title: Raw Data-Emotional Awareness and Internalizing Problems: Associations and State-Trait Differences among Adolescents

description: 1. Raw Data in Spss: In the Spss file, you can find the scores of 68 students (12 years old; Female = 34, Male = 34 ). Student's emotional awareness (EA) and Internalizing problems (IP) score measured at Time1 and one month later at Time 2. For measuring EA, the level of emotional awareness scale (LEAS-C) and for measuring IP, the Strength and Difficulty Questionnaire (SDQ) is used. The internalizing problems score obtained by summing up the emotional and peer problem scales of SDQ. 2. R-script for the Cross-Lagged Panel Model (CLPM) and two-factor latent model using Lavaan package (Rosseel, 2012)
DOI: 10.17632/fx4hcmf4bv
title: Data for: Postglacial relative sea-level histories along the eastern Canadian coastline

description: Appendix A: SLIPs and limiting points included in the eastern Canada Relative Sea Level database. Latitude and Longitude are expresses in decimal degrees: n/a is not applicable; nd is no information available. Appendix B: Optimized hyperparameters employed in the EST-GP spatiotemporal model.
DOI: 10.17632/ywv2kdgfcv
title: Design of a Novel Evidence-Based High School Melanoma Prevention Curriculum and Systematic Review of the Literature 

description: Background: Incorporation of melanoma prevention behaviors into daily lifestyles is difficult. Data suggest that high school educational programs on skin cancer prevention can be successful and should incorporate evidence-based teaching and learning strategies to achieve greatest impact. 
Objective: To describe evidence-based educational practices for a high-school melanoma curriculum through a comprehensive review of the literature and utilize data to design a high-school curriculum.
Methods: Ovid MEDLINE, Embase, CINAHL, and PyscINFO were searched in June 2020 for all original articles published between June 18, 1946 and June 17, 2020. All studies that used an educational curriculum to promote sun safety, skin exams, and early detection to high school students were included. 
Results: A total of 25 studies with 22,683 adolescent participants were analyzed. Important outcomes included changes in knowledge, behavior, attitudes, confidence, and early detection of skin cancer and sun safety. Sixteen studies showed a significant increase in knowledge, twenty-one studies showed changes in behavior and fifteen studies showed significant changes in attitudes. Only one study demonstrated an improvement in confidence and another in early detection. 
Conclusions: Incorporating fun and engaging active learning strategies are key aspects of creating an effective curriculum aimed at the prevention and early detection of melanoma.
DOI: 10.15468/dl.5cmebh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((45.6579 11.3446,44.9648 11.0757,44.9648 10.8496,51.6539 10.8496,51.6211 10.9131,51.7357 12.0497,51.4872 12.2937,50.7681 12.4846,50.3292 12.3424,50.0295 12.0332,49.0651 11.773,47.2785 11.6543,46.4751 11.2145,45.6579 11.3446))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012878-250525065834625/datasets/export for details.
DOI: 10.17632/k6v83s2xdm
title: NMC cell 2600 mAh cyclic aging data

description: The dataset contains the results of aging measurements of lithium-ion cells (NMC with a capacity of 2600 mAh) operating under various load and temperature conditions during full equivalent cycle. The data shows the influence of the cyclic operation parameters (ambient temperature, discharging current, depth of discharge, average charging current and actual state of health) on cell aging. Use of this data for publication purposes should include reference to the following article that describe the experiments conducted for generating the data: "A Novel Method for the Modelling of the State of Health of Lithium-Ion Cells Using Machine Learning for Practical Applications" Burzynski D., Kasprzyk L.
DOI: 10.6084/m9.figshare.24803142.v1
title: Sleep Health and Lifestyle Data Set (Part 2)

description: Dataset Overview:<br>The Sleep Health and Lifestyle Dataset comprises 400 rows and 13 columns, covering a wide range of variables related to sleep and daily habits. It includes details such as gender, age, occupation, sleep duration, quality of sleep, physical activity level, stress levels, BMI category, blood pressure, heart rate, daily steps, and the presence or absence of sleep disorders.Key Features of the Dataset:<br>Comprehensive Sleep Metrics: Explore sleep duration, quality, and factors influencing sleep patterns.<br>Lifestyle Factors: Analyze physical activity levels, stress levels, and BMI categories.<br>Cardiovascular Health: Examine blood pressure and heart rate measurements.<br>Sleep Disorder Analysis: Identify the occurrence of sleep disorders such as Insomnia and Sleep Apnea.Dataset Columns:<br>Person ID: An identifier for each individual.<br>Gender: The gender of the person (Male/Female).<br>Age: The age of the person in years.<br>Occupation: The occupation or profession of the person.<br>Sleep Duration (hours): The number of hours the person sleeps per day.<br>Quality of Sleep (scale: 1-10): A subjective rating of the quality of sleep, ranging from 1 to 10.<br>Physical Activity Level (minutes/day): The number of minutes the person engages in physical activity daily.<br>Stress Level (scale: 1-10): A subjective rating of the stress level experienced by the person, ranging from 1 to 10.<br>BMI Category: The BMI category of the person (e.g., Underweight, Normal, Overweight).<br>Blood Pressure (systolic/diastolic): The blood pressure measurement of the person, indicated as systolic pressure over diastolic pressure.<br>Heart Rate (bpm): The resting heart rate of the person in beats per minute.<br>Daily Steps: The number of steps the person takes per day.<br>Sleep Disorder: The presence or absence of a sleep disorder in the person (None, Insomnia, Sleep Apnea).Details about Sleep Disorder Column:None: The individual does not exhibit any specific sleep disorder.<br>Insomnia: The individual experiences difficulty falling asleep or staying asleep, leading to inadequate or poor-quality sleep.<br>Sleep Apnea: The individual suffers from pauses in breathing during sleep, resulting in disrupted sleep patterns and potential health risks.
DOI: 10.6084/m9.figshare.26211149.v1
title: A decade-long (2012–2021) fine-resolution (1 km,hourly) rainfall dataset over southeastern Tibetan Plateau

description: Here, we carry out 10-year (2012–2021, June to September) convection-permitting model simulations based on the Weather Research and Forecasting (WRF) model over the TP. We adopt four one-way nested domains, with the innermost domain providing a 1-km, hourly resolution over the southeastern TP. Model performance is enhanced using a spectral nudging scheme.
DOI: 10.6084/m9.figshare.8938268.v1
title: grid.5342.0

description: Network Graphs for institution grid.5342.0 created for "What Does a University Look Like?" poster
DOI: 10.17632/j2j9gmyb6m
title: Coopted temporal patterning governs cellular hierarchy, heterogeneity and metabolism in Drosophila neuroblast tumors

description: Matlab code (clone_sim.m) used in the article for the simulation of tumor clones. Also contains the experimental clone data (data exp_data_clones.mat) used to feed the model. Feel free to contact me for any question concerning this code.
DOI: 10.17632/8df2swps9b
title: Surface Roughness and Profile Dataset of Ti6Al4V Textured by Laser Ablation and Spark Erosion

description: The Ti6Al4V alloy is widely recognized for its extensive industrial applications, particularly in the aeronautics sector, due to its exceptional strengthto-weight ratio and corrosion resistance. In this context, many industrial processes depend critically on surface area, topology, and roughness. A promising approach involves combining Ti6Al4V alloy with polymer composites, which oers signicant potential for engineers to design parts that are not only high-performing but also environmentally friendly. Friction stir spot welding (FSSW) emerges as a viable technique for achieving a robust bond between the metal and polymer composite materials. However, a critical factor in this process is the surface prole of the metal, which plays a pivotal role in ensuring strong adhesion between the polymer and the titanium substrate. The data provided focus on analyzing the surface prole and roughness achieved through laser ablation, an advanced technique used for surface texturing, and explores spark erosion as an alternative method.
DOI: 10.17632/h754ntdtfx
title: BDHusk: A Comprehensive Dataset of Different Husk Species Images as a Component of Cattle Feed from Different Regions of Bangladesh.

description: The newly established dataset "Husk" encompasses comprehensive information on various species of husk commonly encountered in various parts of Bangladesh. This dataset comprises a representation of eight distinct species of husk. Such as Oryza sativa, Zea mays, Triticum aestivum, Cicer arietinum, Lens culinaris, Glycine max, Lathyrus sativus, and Pisum sativum var. arvense L. Poiret. The dataset contains a total of 2,400 original images, along with an additional 9280 augmented images. We took great care to meticulously capture each original image, ensuring that we utilised natural lighting conditions and a suitable background. We diligently collected these images over a span of two months, specifically from July 2023 to August 2023, capturing them from various distinct locations within the Sirajganj district. The extensive dataset possesses great potential for researchers to leverage a variety of machine learning and deep learning methods to make significant advancements in the agricultural sector. This resource is of great worth for subsequent inquiries as it lays the groundwork for pivotal advancements in these fields.
DOI: 10.6084/m9.figshare.7710176.v1
title: Linux Kernel vulnerability dataset

description: File versions from Linux Kernel, with vulnerability labels derived from the CVE database. Based on the work by Jimenez et al. [1].<br>[1] Jimenez, Matthieu, Mike Papadakis, and Yves Le Traon. "Vulnerability prediction models: A case study on the linux kernel." Source Code Analysis and Manipulation (SCAM), 2016 IEEE 16th International Working Conference on. IEEE, 2016.<br>
DOI: 10.17632/48whrmmkjg
title: Energy Consumption in KWh of a Typical House Sincelejo Colombia

description: El conjunto de datos presentado corresponde al registro del consumo energético de cinco dispositivos en una vivienda típica de una familia de 4 miembros en la ciudad de Sincelejo, Colombia. Los datos han sido recolectados durante seis meses consecutivos utilizando un Sistema de Gestión Energética en el Hogar (HEMS) que monitorea en tiempo real el consumo de energía. Este conjunto de datos incluye información detallada sobre el consumo horario del ventilador, PC, aire acondicionado, lámpara y TV, capturando patrones de uso en diferentes momentos del día. El registro de consumo se ha realizado a intervalos de un minuto, con el objetivo de proporcionar una visión precisa de los hábitos de consumo de los dispositivos. La base de datos contiene un total de 3626 filas, incluyendo una fila de encabezado y las entradas correspondientes a los datos recolectados, distribuidas en 6 columnas: una columna de marcas temporales (TimeStamp) y cinco columnas adicionales que representan el consumo de cada uno de los dispositivos mencionados en kilovatios hora (kWh).
DOI: 10.17632/cxnnbwn59t
title: Small Enterprises, Big Impact: The Role of Digital Technology in Sustainable Success

description: The research data was collected through an online questionnaire distributed cross-sectionally from May to July 2023 in micro-small enterprises (MSEs) at Java and Sumatera Island, Indonesia. The survey included 381 businesses, of which 335 were micro-businesses (87.93%) and 46 were small businesses (12.07%). The research was focused on digital technology adoption (DTA), sustainable entrepreneurship (SEP), and sustainable business performance (SBP) in MSEs on the Java and Sumatra islands. 
 Digital Technology Adoption (DTA) can increase business performance through the integration of digital technology into business operations (AL-allak, 2010; Jha et al., 2022; Lang et al., 2022; Ristyawan, 2020; Sharma et al., 2022; Tamvada et al., 2022). Meanwhile, Sustainable Entrepreneurship Practice (SEP) is an entrepreneurial practice that fulfills two crucial goals at the same time. These goals are an enterprise's development and sustainability maintenance (Shepherd & Patzelt, 2011). Finally, Sustainable Business Performance (SBP) considers both economic benefits and sustainability-related benefits, i.e., economic, social, and environmental (Le, 2022a; Shepherd & Patzelt, 2011).
DOI: 10.17632/yrdgn246ty
title: The Supplemental information of the manuscript "Early inadequate response to biological agents portends treatment failure at 6 months in patients with psoriasis: a multicenter, prospective cohort study"

description: This supplemental document supports the study titled "Early inadequate response to biological agents portends treatment failure at 6 months in patients with psoriasis: a multicenter, prospective cohort study." It includes comprehensive figures, tables, and statistical analyses: （1）Figures: Graphical representations of linear associations between BMI and psoriasis treatment outcomes, as well as comparative analyses of Physician's Global Assessment (PGA), Psoriasis Area and Severity Index (PASI), and body surface area (BSA) scores at various treatment time points. （2）Tables: Baseline characteristics of psoriasis patients stratified by early treatment response; Comparisons of treatment failure and PASI outcomes at 3 and 6 months between early responders and non-responders; Stratified analyses of treatment response by biological agents and BMI categories.