cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3524933.v1
title: Appendix A. The scales of equivalence equation.

description: The scales of equivalence equation.
DOI: 10.17632/yd86dmhfxv
title: Predictor of Fluorosis: Total Fluoride Intake or Subsequent Fluoride Absorption? - supplementary material

description: This dataset is a supplementary material of the Chapter 3 Study I of the thesis titled ‘Predictor of Fluorosis: Total Fluoride Intake or Subsequent Fluoride Absorption?’. Tables encompass data gathered through the Iowa Fluoride Study (IFS), specifically 3-day food diaries. Data from the 3-day food diaries was transcribed for 91 participants with/without dental fluorosis on permanent teeth at 6 weeks, 3, 6, 12, 24, and 36 months of age. This was then joint with fluoride concentrations found for each individual product using both the UK and the US fluoride databases (Table 1 - Table 24). For each individual product, the frequency of intake and overall fluoride intake were calculated and used to identify those food products with the highest frequency of consumption/highest fluoride intake (Table 25 - Table 42). Necessary ethical approvals were obtained for this study. No personally identifiable information is included in the dataset.
DOI: 10.17632/bsds4wkrmj
title: Mohs micrographic surgery for male genital tumors: Local recurrence rates and patient-reported outcomes [Supplemental Materials]

description: Table 1: Comparison of Survey Responder and Non-Responder Demographics Table 2: Sexual Functioning Questions and Response Frequency Table 3: PROM-USS Lower Urinary Tract Symptom Assessment Questions and Responses
DOI: 10.17632/cxmvc7ng99
title: Determinants of Blockchain Technology adoption intent for supply chain finance

description: Survey on the adoption intent for blockchain technology for supply chain finance by Ghanaian SMEs
DOI: 10.6084/m9.figshare.25466461.v3
title: <b>B</b><sup><strong>3</strong></sup><b>P</b><sup><strong>2</strong></sup><b>Augur: A prediction model for blood-brain barrier penetrating peptides based on data augmentation</b>

description: The blood-brain barrier serves as a critical interface between the bloodstream and brain tissue, mainly composed of pericytes, neurons, endothelial cells, and tightly connected basal membranes. It plays a pivotal role in safeguarding brain from harmful substances, thus protecting the integrity of the nervous system and preserving overall brain homeostasis. However, this remarkable selective transmission also poses a formidable challenge in the realm of central nervous system diseases treatment, hindering the delivery of large-molecule drugs into the brain. In response to this challenge, many researchers have devoted themselves to developing drug delivery systems capable of breaching the blood-brain barrier. Among these, blood-brain barrier penetrating peptides have emerged as promising candidates. These peptides had the advantages of high biosafety, ease of synthesis, and exceptional penetration efficiency, making them an effective drug delivery solution. While previous studies have developed a few prediction models for B3PPs, their performance has often been hampered by issue of limited positive data.In this study, we present B<sup>3</sup>P<sup>2</sup>Augur, a novel prediction model using borderline-SMOTE-based data augmentation and machine learning. we extract highly interpretable physicochemical properties of blood-brain barrier penetrating peptides while solving the issues of small sample size and imbalance of positive and negative samples. Experimental results demonstrate the superior prediction performance of B<sup>3</sup>P<sup>2</sup>Augur with an AUC value of 0.932 on the training set and 0.931 on the independent test set.This newly developed B<sup>3</sup>P<sup>2</sup>Augur model demonstrates superior performance in predicting blood-brain barrier penetrating peptides, offering valuable insights for drug development targeting neurological disorders. This breakthrough may enhance the efficiency of peptide-based drug discovery and pave the way for innovative treatment strategies for central nervous system diseases.
DOI: 10.6084/m9.figshare.14099546.v1
title: Supplementary Table 1.docx

description: <b>Supplementary table 1</b> <b>Primer sequences for qRT-PCR</b>
DOI: 10.17632/jrwx2ckp7n
title: Corpus ethnographique du projet de recherche "De l'apprentissage en famille a la scolarisation républicaine. Deux cas d'étude en Guyane et en Polynésie française" (observation systématiques)

description: Ce fichier contient le corpus ethnographique du projet "De l'apprentissage en famille à la scolarisation républicaine. Deux cas d'étude en Guyane et en Polynésie française". Il intègre toutes les grilles chronométriques utilisées lors des observations systématiques (behavior sampling) réalisées dans le cadre de cette recherche doctorale. Les observations ont été codées à partir d’une grille simplifiée (et adapté aux terrains de travail choisis: éloignés et avec une faible couverture numérique) dans laquelle j’ai noté, à intervalles de cinq minutes, les interactions éducatives que chaque membre de la famille ou de la communauté entretenaient avec l’enfant-éduqué, en tenant aussi compte du style éducatif caractérisant chaque interaction . Au total, j’ai réalisé plus de 1440 heures d’observation directe dans le seul but de mesurer la « quantité » d’interactions éducatives, ce qui m’a permis d’obtenir des données comparables quant au « poids » de chaque acteur – ou microsystème – en charge de la transmission de la culture dans les deux contextes étudiés.
DOI: 10.17632/bs4stsh9n8
title: Distribution of Turkey's foreign population by place of birth according to census results (1927-1990)

description: These data were prepared within the scope of the author's doctoral thesis research on ‘Turkish Migration Policy’. The aim of the research is to compile the data on the distribution of the population living in the country according to their place of birth in the population censuses conducted in Turkey over the years and to analyse their changes over the years. The language and explanations of the data are in Russian.
DOI: 10.17632/fsz5zpkvh6
title: Data for: Green Closed-Loop Supply Chain Network Design under Uncertainty

description: Raw Date of Input Parameters
DOI: 10.17632/4r55hvz87r
title: Negative DNA supercoiling induces genome-wide Cas9 off-target activity. Newton MD et al

description: CRISPR/Cas9 is a powerful gene-editing technology, however off-target activity remains an important consideration for therapeutic applications. We have previous-ly shown that force stretching DNA induces off-target activity and hypothesised that distortions of the DNA topology in vivo, such as negative DNA supercoiling, could reduce Cas9 specificity. Using single-molecule optical-tweezers, we demonstrate that negative supercoiling λ-DNA induces sequence-specific Cas9 off-target bind-ing at multiple sites, even at low forces. Using an adapted CIRCLE-seq approach, we detect over 10,000 negative supercoiling induced Cas9 off-target double-strand breaks genome wide, caused by increased mismatch tolerance. We further demon-strate in vivo that directed local DNA distortion increases off-target activity in cells and that induced off-target events can be detected during Cas9 genome-editing. These data demonstrate that Cas9 off-target activity is regulated by DNA topology in vitro and in vivo, suggesting that cellular processes, such as transcription and replication, could induce off-target activity at previously overlooked sites.
DOI: 10.17632/257pzrpdzd
title: Data catalog (Central Himalaya), earthquake magnitude ranges from ML 1 to 5.7 (tested for earthquake frequency-size distributions).
DOI: 10.6084/m9.figshare.4758391.v1
title: Robust Lasso Regression Using Tukey's Biweight Criterion

description: The adaptive lasso is a method for performing simultaneous parameter estimation and variable selection. The adaptive weights used in its penalty term mean that the adaptive lasso achieves the oracle property. In this work, we propose an extension of the adaptive lasso named the Tukey-lasso. By using Tukey's biweight criterion, instead of squared loss, the Tukey-lasso is resistant to outliers in both the response and covariates. Importantly, we demonstrate that the Tukey-lasso also enjoys the oracle property. A fast accelerated proximal gradient (APG) algorithm is proposed and implemented for computing the Tukey-lasso. Our extensive simulations show that the Tukey-lasso, implemented with the APG algorithm, achieves very reliable results, including for high-dimensional data where <i>p</i> &gt; <i>n</i>. In the presence of outliers, the Tukey-lasso is shown to offer substantial improvements in performance compared to the adaptive lasso and other robust implementations of the lasso. Real-data examples further demonstrate the utility of the Tukey-lasso. Supplementary materials for this article are available online.
DOI: 10.17632/fbjrrb5d97
title: An Extremely Inexpensive and Simple Method to Remove Indoor Respiratory Aerosols

description: The data describes the electrification of human respiratory aerosols.
DOI: 10.17632/njjhfv59cy
title: Transkrip - Debat Kelima Capres Indonesia 2024

description: The dataset consists of a transcript of the fifth Indonesian presidential open debate, sourced from the official YouTube channel of the General Election Commission of Indonesia. This transcript likely includes verbatim text of the speeches, responses, and interactions between the candidates during the debate. Witten in original language of Bahasa Indonesia.
DOI: 10.6084/m9.figshare.12374261.v1
title: Ipad Use in Library Instruction --Culinary Medicine Program

description: The data represents results of a survey that was used to determine if a hands-on session using Ipads for library instruction was beneficial to participants in a culinary medicine curriculum. The session was conducted as part of the University of South Alabama Mitchell Cancer Institute’s Culinary Medicine Curriculum. The survey used a 5 point Likert scale. Survey data indicated that participants liked using the Ipads as a means of learning how to use MedlinePlus and wanted more time to learn about health resources.
DOI: 10.6084/m9.figshare.28777778.v1
title: News Dataset for BitAuto

description: This is the dataset for the news classification
DOI: 10.17632/n7zbdnn8fj
title: A Comparative Analysis for Heartbeat Signal Classification based on Metaheuristic Approaches

description: In the literature, we found metaheuristic approaches for heartbeat classification consisting of parameter optimization. These metaheuristic approaches have been applied in two contexts: employing a binary classification and using multiclass classification with a specific number of classes. There exists a significant reduction in the performance of classifying heartbeat when the datasets are unbalanced. In this paper, we present an evaluation of two metaheuristic optimization approaches based on a multiclass heartbeat classification in the presence of unbalanced classes. We focus on classifying heartbeat classes ranging from 2 to 8 for intra-patient cases and obtain competitive results versus the state-of-the-art works, obtaining up to 99\% performance since we look for broad detection of heartbeat types such as non-ectopic beats, supraventricular ectopic beats, and ventricular ectopic beats with higher specificity, sensitivity, precision, and accuracy.
DOI: 10.6084/m9.figshare.14785293.v2
title: Sensory sensitivity after acquired brain injury: a systematic review

description: The protocol and final data extraction beloning to the manuscript: "Sensory sensitivity after acquired brain injury: a systematic review".
DOI: 10.17632/jgsv9xgwk8
title: The perceptual categorization of multidimensional stimuli is hierarchically organized

description: As we interact with our surroundings, we encounter the same or similar objects from different perspectives and are compelled to generalize. For example, we recognize dog barks as a distinct class of sound, despite the variety of individual barks. While we have some understanding of how generalization is done along a single stimulus dimension, such as frequency or color, natural stimuli are identifiable by a combination of dimensions. To understand perception, measuring the interaction across stimulus dimensions is essential. For example, when identifying a sound, does our brain focus on a specific dimension or a combination, such as its frequency and duration? Furthermore, does the relative relevance of each dimension reflect its contribution to the natural sensory environment? Using a 2-dimension discrimination task for mice we tested untrained generalization across several pairs of auditory dimensions. We uncovered a perceptual hierarchy over the tested dimensions that was dominated by the sound’s spectral composition.
DOI: 10.17632/v9hw2y3nvb
title: Data for: Widespread Diagenesis at Unconformities in Gale Crater as Inferred from the Curiosity Rover and from Orbit

description: CRISM spectra in Figure 9 for: Widespread Diagenesis at Unconformities in Gale Crater as Inferred from the Curiosity Rover and from Orbit
ROIs are from projected CRISM files drawn in ENVI
DOI: 10.17632/c4hhrkxytw
title: Dental OPG XRAY Dataset

description: This dataset includes dental OPG X-rays collected from three different dental clinics. This dataset can be used for tasks like object detection, image analysis, disease classification, and segmentation. It has two folders: the object detection dataset folder and the classification dataset folder. The object detection folder contains 232 original and 604 augmented images and labels. The classification folder contains six distinct files for each class. The images are in JPG format, and the labels are in JSON format. The augmented data is split into training, validation, and testing sets in an 80:10:10 ratio.

Dataset collection:
• Source: Prescription Point Ltd, Lab Aid Specialized Hospital, Ibn Sina Diagnostic and Imaging Center.
• Capture Method: Using android phone camera.
• Anonymization: All data were rigorously anonymized to maintain confidentiality and privacy. 
• Informed Consent: All patients provided their consent in accordance with the dental ethical principles. 

Dataset composition: 
• Total Participants: 232 Male and female patients aged 10 years or older.

 
Variables: 
• Healthy Teeth: 223
• Caries: 119
• Impacted Teeth: 87
• Broken Down Crown/ Root: 52
• Infection: 23
• Fractured Teeth: 13
DOI: 10.17632/5hrt53fg8b
title: Data for: Endovascular Embolization of Highly Vascular Head and Neck Tumors

description: This is the data sheet for 36 patients collected over a 2 year period at Lahore General Hospital, department of Neurosurgery. All pertinent information regarding the patients needed for the study is available here and freely referencable for anyone for educational purposes ONLY
DOI: 10.17632/vrdj6vv33y
title: CEL to calculate OSI
DOI: 10.17632/xw7wjrwv88
title: Data for: Large-scale sampling and radioactivity analysis of agricultural soil and food during nuclear emergencies in Japan: Variations with time in foodstuffs inspection and sampling

description: Web chatting data for the manuscript.
DOI: 10.15468/dl.k4c3nz
title: Occurrence Download

description: A dataset containing 4475 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lymantriidae"
 ]
}

 The dataset includes 4475 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009251-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.3566070.v1
title: Appendix A. Basal area, relative basal area, mean dbh, and maximum dbh of trees &gt;2 cm dbh for the main tree species in each of the three Acer platanoides and Ailanthus altissima study sites.

description: Basal area, relative basal area, mean dbh, and maximum dbh of trees &gt;2 cm dbh for the main tree species in each of the three Acer platanoides and Ailanthus altissima study sites.
DOI: 10.17632/hktr65bp95
title: Determinants of Meditation Practice

description: Data associated with the manuscript Hunt, C. A., Hoffman, M. A., Mohr, J. J., & Williams, A. L. (2020). Assessing perceived barriers to meditation: The determinants of meditation practice inventory-revised (DMPI-R). Mindfulness, 11, 1139-1149. The full sample (621 cases) is included.
DOI: 10.17632/kw4c3w23w5
title: Supplementary Materials: Using Geopandas for locating virtual stations in a free-floating bike sharing system

description: Complementary data from the publication "Using Geopandas for locating virtual stations in a Free-floating Bike-sharing System".

This dataset contains: 
1) the zoning information (.shp file) for the city under study, used to georeference spatial data; 
2) the SECTRA OD survey (BD_EOD_GranConcepcion.csv), used as the basis for the decision support system; and 
3) the lab notebook (Jupyter Notebook) detailing the step-by-step process used to build the computational tool.
DOI: 10.25386/genetics.13724035.v1
title: Supplemental Material for Holmes et al., 2021

description: Supplemental Material for Holmes et al., 2021
DOI: 10.17632/669bz9n7gh
title: Replication files for Regional aggregation bias in the global Computable General Equilibrium model by Kunimitsu

description: Replication files for the article: "Regional aggregation bias in the global Computable General Equilibrium model: Issues in assessing the economic impact of climate change and trade liberalization" by Yoji Kunimitsu in Economic Modelling
DOI: 10.6084/m9.figshare.7624373.v2
title: Analysis of upper threshold mechanisms of spherical neurons during extracellular stimulation - figure 9 supplements

description: animated videos to Figure 9, case A-E<br>
DOI: 10.6084/m9.figshare.24145230.v2
title: humpback grouper genome

description: The genome of humpback grouper
DOI: 10.17632/cx9523jg52
title: Data for: Photonic radiative cooler optimization using Taguchi's method

description: The database includes refractive indices of all the materials used, atmospheric transmittance data, solar spectrum and orthogonal arrays used for optimization.
DOI: 10.17632/vt87d78mgn
title: The RNA helicase HrpA rescues collided ribosomes in E. coli. Campbell et al

description: Although many antibiotics inhibit bacterial ribosomes, loss of known factors that rescue stalled ribosomes does not lead to robust antibiotic sensitivity in E. coli, suggesting the existence of additional mechanisms. Here, we show that the RNA helicase HrpA rescues stalled ribosomes in E. coli. Acting selectively on ribosomes that have collided, HrpA uses ATP hydrolysis to split stalled ribosomes into subunits. Cryo-EM structures reveal how HrpA simultaneously binds to two collided ribosomes, explaining its selectivity, and how its helicase module engages downstream mRNA, such that by exerting a pulling force on the mRNA, it would destabilize the stalled ribosome. These studies show that ribosome splitting is a conserved mechanism that allows proteobacteria to tolerate ribosome-targeting antibiotics.
DOI: 10.6084/m9.figshare.27215391.v1
title: <b>Raw database for "Control of system size on transition of dissolution patterns in rough fractures"</b>

description: We supply the raw data used in our manuscript "<b>Control of system size on transition of dissolution patterns in rough fractures</b>".
DOI: 10.17632/gystn6d3r4
title: Time Series Dataset for Risk Assessment in Supply Chain Networks

description: This dataset is generated via simulation of a probabilistic risk assessment model and a Linear Programming models to evaluate Risk Index and Total supply chain cost using MATLAB simulink. This dataset can be utilized for sequence-to-sequence forecasting and multi-labelled classification problems related to Supply Chain Risk Management (SCRM). This dataset can also be used for evaluating Non-linear Autoregressive models and Deep Neural Networks for supply chain networks. The dataset is published for academic purposes only, with limited usage after careful validation of norms and permissions as stated by the owner.
DOI: 10.17632/r7zrtby6sv
title: Data for "CO2-rich rejuvenated stage lavas on Hawaiian islands"

description: This dataset includes Supplementary Information, and Supplementary Table 1 to Supplementary Table 5.
Supplementary Table 1. 
Results of major and trace elements for the Hawaii lava samples. 
Supplementary Figure 2. 
Results of EPMA analyses on olivine-spinel pairs and calculation of equilibrium temperatures.
Supplementary Table 3.
    Results of EMPA analyses on major and trace elements of olivine hosted in Hawaiian lava samples. 
Supplementary Table 4. 
Calculation of primary melts by correction olivine accumulation for Hawaiian lavas. 
Supplementary Table 5. 
Calculation of partition coefficients of Ca and Mn between equilibrium olivine and melt and CO2 concentration.
DOI: 10.6084/m9.figshare.25943854.v5
title: Supplementary Material (SWeeTComp: A Framework for Software Testing Competency Assessment)

description: In this supplementary material, artifacts, tables, and images used in the study of the SWeeTComp evaluation of the article SWeeTComp: A Framework for Software Testing Competency Assessment will be presented as support material. SWeeTComp (A Framework for Software Testing Competency Assessment) was developed as a framework for self-assessment and identification of competency gaps in software testing. To evaluate it, we conducted a study with 22 participants from a Software Engineering course at a Federal University to investigate the effectiveness of SWeeTComp as a self-assessment tool, analyzing its ability to identify competencies and gaps. Additionally, the participants evaluated the SWeeTComp framework, providing feedback on its usability and effectiveness. The results indicate that SWeeTComp helped the participants clearly identify their competencies and areas for improvement. The evaluation of the framework by the participants was also positive, highlighting the utility and clarity of SWeeTComp, although some areas for improvement were identified, such as the need for more precise instructions and more detailed feedback.
DOI: 10.6084/m9.figshare.26809627.v1
title: Demographic and Political Landscape of Indonesia's 38 Provinces

description: This dataset provides a comprehensive overview of Indonesia's 38 provinces, featuring population data from the last census (2020-2022) conducted by the Central Statistic Agency. It also includes information on the largest political party in each province from the 2024 legislative election, along with coalition details as of August 22, 2024. This dataset is valuable for researchers, policymakers, and anyone interested in analyzing Indonesia's region's demographic and political dynamics.
DOI: 10.17632/hybj7mvs97
title: A Cross-sectional Study of Cutaneous Immune-Related Adverse Effects in Hispanic Patients after Immune Checkpoint Inhibitor Use for Cancer Therapy

description: Figure 1. Flowchart of the study cohort.
DOI: 10.17632/4gv7nkhs4n
title: Data for "Interaction between the Tethyan and Paleo-Pacific tectonic domains in Southeast Asia: Late Triassic initiation of an inward dipping double subduction system"

description: Supplementary Material, Table S1 and Table S2
DOI: 10.17632/7gws237f5d
title: HFSC data - WHODAS, demographics, patient satisfaction

description: This data demonstrates the results from the World Health Organization Disability Assessment Schedule before and after surgery that was used to calculate cost-effectiveness of an ambulatory surgery center in Honduras during a one-year study period. The dataset also demonstrates the results of the Outpatient and Ambulatory Surgery Consumer Assessment of Health Providers and Systems (OAS-CAHPS), a measure of patient satisfaction.