cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8dtvym6ymh
title: Intensity and frequency of seabed shear stress and sediment mobilization on the Canadian Atlantic Shelf — a modelling study: Dataset.

description: This is the dataset accompanying the article of Li et al. (2024) by the same title in the Continental Shelf Research. The dataset contains the bathymetry, observed grain size, as well as modelled wave, current, bed shear stress and sediment mobilization data for the Canadian Atlantic Shelf. The Readme.doc describes the files and contents contained within this dataset.
DOI: 10.21954/ou.rd.17429837.v1
title: Thesis Carla Gomez - data Chapter 5 - raw reads WGS wood samples B6 and B10

description: Thesis Carla Gomez - data Chapter 5 - raw reads WGS wood samples B6 and B10 from Illumina paired end sequencing - R1 nd R2 correspond to opposite directions of the input DNA sequencing<br><br><br><br>
DOI: 10.6084/m9.figshare.14483400.v1
title: Supplementary Material for: Difference in Insulin Resistance Assessment between European Union and Non-European Union Obesity Treatment Centers (ESPE Obesity Working Group Insulin Resistance Project)

description: <b><i>Introduction:</i></b> The obesity epidemic has become one of the most important public health issues of modern times. Impaired insulin sensitivity seems to be the cornerstone of multiple obesity related comorbidities. However, there is no accepted definition of impaired insulin sensitivity. <b><i>Objective:</i></b> We hypothesize that assessment of insulin resistance differs between centers. <b><i>Methods:</i></b> The ESPE Obesity Working Group (ESPE ObWG) Scientific Committee developed a questionnaire with a focus on the routine practices of assessment of hyperinsulinemia and insulin resistance, which was distributed through Google Docs platform to the clinicians and researchers from the current ESPE ObWG database (<i>n</i> = 73). Sixty-one complete responses (84% response rate) from clinicians and researchers were analyzed: 32 from European Union (EU) centers (representatives of 14 countries) and 29 from Non-EU centers (representatives from 10 countries). Standard statistics were used for the data analysis. <b><i>Results:</i></b> The majority of respondents considered insulin resistance (IR) as a clinical tool (85.2%) rather than a research instrument. For the purpose of IR assessment EU specialists prefer analysis of the oral glucose tolerance test (OGTT) results, whereas non-EU ones mainly use Homeostatic Model Assessment of Insulin Resistance (HOMA-IR; <i>p</i> = 0.032). There was no exact cutoff for the HOMA-IR in either EU or non-EU centers. A variety of OGTT time points and substances measured per local protocol were reported. Clinicians normally analyzed blood glucose (88.52% of centers) and insulin (67.21%, mainly in EU centers, <i>p</i> = 0.0051). Furthermore, most participants (70.5%) considered OGTT insulin levels as a more sensitive parameter of IR than glucose. Meanwhile, approximately two-thirds (63.9%) of the centers did not use any cutoffs for the insulin response to the glucose load. <b><i>Conclusions:</i></b> Since there is no standard for the IR evaluation and uniform accepted indication of performing, an OGTT the assessment of insulin sensitivity varies between EU and non-EU centers. A widely accepted standardized protocol is needed to allow comparison between centers.
DOI: 10.6084/m9.figshare.28735103.v1
title: Planilha com todos os artigos encontrados nas bases indexadoras.xlsx

description: Nesta planilha, há dados de 44 artigos encontrados nas bases indexadoras DOAJ e SciELO, a partir dos seguintes termos: jornalismo com perspectiva de gênero; jornalismo AND perspectiva de gênero; jornalismo com enfoque de gênero; jornalismo AND enfoque de gênero; jornalismo feminista; jornalismo AND feminismo; jornalismo com perspectiva interseccional; jornalismo AND interseccional.
DOI: 10.6084/m9.figshare.29163755.v1
title: Supp. Table 1-7.xlsx & Supp. figure 1-2

description: Geochemical study and geochronology of the S-type granites in the Northwestern Jiangxi Province, East China: Implications for lithium mineralization
DOI: 10.6084/m9.figshare.3156700.v2
title: Practical adaptive quantum tomography: Supplementary material

description: This Supplementary Material includes the source code used to simulate our hybrid quantum state tomography data with high-performance computing (HPC) resources, as well as the simulated data and post-processing code. Please see README.md for more details.
DOI: 10.17632/9zgzj8rmjm
title: 360-Degree Teaching Evaluation Dataset

description: During the 20232 and 20234 semesters, 360° teaching evaluations at Universiti Teknologi MARA revealed clear patterns across the three main assessments: SuFO by final-year diploma, Foundation and undergraduate students, PROPENS by teaching peers, and TESA by lecturers' self-assessment. The dataset included the score assessment for each teaching evaluation of the individual lecturer and the average score of the faculty or campus. We have also attached a sample of the 360° teaching evaluation instrument, suitable for reference and testing in other higher learning institutions.
DOI: 10.17632/hc6ypxt6dv
title: Data for: Neuropsychiatric feature profiles of patients with Lewy body dementia

description: Excel sheet with demographic and clinical data from all patients.
DOI: 10.6084/m9.figshare.1439484.v1
title: The Science Of Israel

description: How Jews know/A Humanistic Synopsis
DOI: 10.6084/m9.figshare.21545502.v1
title: Quantitative Analysis of Social Media Use in the Energy and Resources Sector: National comparison and sector analysis

description: It includes the questionnaires involved in the data research and the corresponding answers collected. In addition, it also includes some charts obtained from the analysis. Variables involved in linear regression analysis are also included in the file.
DOI: 10.6084/m9.figshare.28784405.v4
title: Adversarial Attack (Erosion and Dilation) Dataset for Amazon River Basin

description: This dataset comprises 1,263 high-resolution SAR image patches (512×512) from Sentinel-1 covering the Amazon River Basin, curated for water body segmentation tasks. The region was selected for its complex river networks and variability in channel structures, making it ideal for robust model training and evaluation. Sentinel-1 GRD products were acquired via the Alaska Satellite Facility (ASF) API and underwent standard preprocessing steps, including orbit file application, radiometric calibration, speckle filtering, and terrain correction using a DEM. Ground truth masks were generated using Sentinel-2 multispectral imagery through the Normalized Difference Water Index (NDWI), computed in Google Earth Engine. This method was adopted after observing inaccuracies with publicly available shapefiles due to outdated or incomplete information. The final dataset offers a reliable benchmark for water segmentation models in SAR imagery, addressing the challenges of geometric complexity, label accuracy, and large-area coverage.<br><br><br>The codebase for the same can be found at GVCL/IWSeg-SAR-Poison: Code and datasets for inland water segmentation from SAR images, specifically Sentinel-1, with data poisoning attacks
DOI: 10.6084/m9.figshare.29088173.v1
title: Sequenza output results data from Brazilian Acral melanoma samples (jan2025)

description: Sequenza output results data from Brazilian Acral melanoma samples (jan2025) performed by Rene Jesus.
DOI: 10.6084/m9.figshare.7763183.v2
title: A Proposed Churn Prediction Model

description: Churn prediction aims to detect customers intended to leave a service provider. Retaining one customer costs an organization from 5 to 10 times than gaining a new one. Predictive models can provide correct identification of possible churners in the near future in order to provide a retention solution. This paper presents a new prediction model based on Data Mining (DM) techniques. The proposed model is composed of six steps which are; identify problem domain, data selection, investigate data set, classification, clustering and knowledge usage. A data set with 23 attributes and 5000 instances is used. 4000 instances used for training the model and 1000 instances used as a testing set. The predicted churners are clustered into 3 categories in case of using in a retention strategy. The data mining techniques used in this paper are Decision Tree, Support Vector Machine and Neural Network throughout an open source software name WEKA.
DOI: 10.17632/22d2kcr2yp
title: Multi-Diseases Dataset Composed of Medical Sensors and Text inputs: Simulated Dataset Accompanied with Codes

description: This dataset package presents a simulated dataset for triaging and prioritizing patients to multi emergency levels. Four types of data are presented which are: (ECG, blood pressure, and SpO2 signals) and the fourth is text-inputs. For the ECG, blood pressure, and SpO2 signals, the online library Physionet [1], which is considered the most reliable and relevant library in healthcare services and bioinformatics sciences, was used. The library contains collections of databases, and signals related to ECG, blood pressure, and SpO2 sensor. However, Simulated data accompanied by codes are presented. The contributions of our presented dataset are (1) The presented dataset is considered as vital features extracted from the signal records. The dataset includes medical vital features: (QRS width, ST Elevation, Peaks number and Cycle interval from ECG signal, SpO2 level from SpO2 signal and High Blood (systolic) Pressure value and Low-Pressure (diastolic) value from Blood Pressure signal). Those features were extracted based on our machine learning algorithms. In addition to that, new medical features were added based on medical doctors' recommendations as text-inputs: Chest pain, Shortness of Breath, Palpitation, and whether the patient at rest or not. All these features considered significant symptoms for many diseases such as Heart attack or stroke, Sleep apnea, Heart failure, arrhythmia, and blood pressure chronic diseases. Therefore, (2) The formulated dataset is considered in the doctor diagnostic procedures for identifying the patients' emergency level. (3) in the online library [1], the ECG, blood pressure, and SpO2 were represented as signals. In contrast, we achieved the signal processing tasks and we re-present the dataset by numeric values for the vital features in Excel sheet representations. Moreover (4) based on our simulation outcomes, the dataset is re-organized and re-formatted in structure dataset format. The dataset is represented in terms of tables to illustrate the patient's profile and type of diseases. (5) The presented dataset is utilized in the evaluation of medical monitoring and healthcare provisioning systems [2], and finally (6) the Simulation codes for feature extractions functions are presented.
DOI: 10.17632/ny8w37pf6y
title: Dataset for: Experimental Insights into Fault Reactivation in Gouge-filled Fault Zones

description: This dataset is related to the research paper "Experimental Insights into Fault Reactivation in Gouge-filled Fault Zones" by Giorgetti, C., Tesei T., Scuderi, M. M., & Collettini C. (2019), in JGR - Solid Earth. https://doi.org/10.1029/2018JB016813 The files contain the raw data collected during the experiments that are reported in the research paper. Abstract: Faults in the brittle crust constitute preexisting weakness zones that can be reactivated depending on their friction, orientation within the local stress field, and stress field magnitude. Analytical approaches to evaluate the potential for fault reactivation are generally based on the assumption that faults are ideal planes characterized by zero thickness and constant friction. However, natural faults are complex structures that typically host thick fault rocks. Here we experimentally investigate the reactivation of gouge-bearing faults and compare the resulting data with theoretical predictions based on analytical models. We simulate preexisting faults by conducting triaxial experiments on sandstone cylinders containing saw-cuts filled with clay-rich gouge and oriented at different angles, from 30° to 80°, to the maximum principal stress. Our results show the reactivation of preexisting faults when oriented at 30°, 40°, and 50° to the maximum principal stress and the formation of a new fracture for fault orientations higher than 50º. Although these observations are in agreement with the fault lock-up predicted by analytical models, the differential stress required for reactivation strongly differs from theoretical predictions. In particular, unfavorable oriented faults appear systematically weaker, especially when a thick gouge layer is present. We infer that the observed weakness relates to the rotation of the stress field within the gouge layer during the documented distributed deformation that precedes unstable fault reactivation. Thus, the assumption of zero-thickness planar fault provides only an upper bound to the stress required for reactivation of misoriented faults, which might result in misleading predictions of fault reactivation.
DOI: 10.6084/m9.figshare.19317977.v3
title: CRISPR-mediated multiplexed live cell imaging of nonrepetitive genomic loci with one guide RNA per locus (Imaging Data)

description: Three-dimensional (3D) structures of the genome are dynamic, heterogeneous and functionally important. Live cell imaging has become the leading method for chromatin dynamics tracking. However, existing CRISPR- and TALE-based genomic labeling techniques have been hampered by laborious protocols and are ineffective in labeling non-repetitive sequences. Here, we report a versatile CRISPR/Casilio-based imaging method that allows for a nonrepetitive genomic locus to be labeled using one guide RNA. We construct Casilio dual-color probes to visualize the dynamic interactions of DNA elements in single live cells in the presence or absence of the cohesin subunit RAD21. Using a three-color palette, we track the dynamic 3D locations of multiple reference points along a chromatin loop. Casilio imaging reveals intercellular heterogeneity and interallelic asynchrony in chromatin interaction dynamics, underscoring the importance of studying genome structures in 4D.
DOI: 10.6084/m9.figshare.20744107.v3
title: Qinling slab tearing-Supplementary Tables.xlsx

description: The dataset includes five supplementary tables for manuscript titled "Evidence of Late Triassic vertical slab tearing in the Qinling Orogen (central China) from multiproxy geochemical and isotopic imaging" submitted to <strong>Journal of Geophysical Research: Solid Earth</strong>.
DOI: 10.6084/m9.figshare.28930355.v1
title: Related data

description: For mission-oriented systems designed for long-term operation, this study incorporates the time-varying value of money into the analysis. Unlike traditional maintenance strategies, the study introduces a new approach to periodic replacement policies. This approach considers variable costs and aims to improve system performance and reliability. The first step integrates the discount rate into basic periodic replacement policies. Next, the study addresses the first and last replacements to balance maintenance simplicity with economic efficiency. Numerical examples are provided for each replacement scenario, demonstrating the practical applicability and effectiveness of the proposed strategies. These examples yield valuable insights that can guide engineers in managing scheduled replacement strategies for systems designed for specific missions throughout their extended operational lifetimes.
DOI: 10.6084/m9.figshare.8002253.v1
title: Simple Reaction Time Data of Indian Population

description: This is the data used in my project titled 'Encouraging Technology in University Psychology Programs in India'. This project talks about the gaps in the Indian education system and how use of technology can improve it. We propose the use of Psytoolkit to improve teaching outcomes in cognitive psychology courses in India.
DOI: 10.17632/5snwpzdtzs
title: Image Dataset for Mango Growth Stages Analysis

description: We recorded 1057 raw photos in total, using white and brown backgrounds for the ripe category. 
The images underwent resizing, and low-quality images were filtered out. Zooming, rotation and flipping operations were applied, resulting in a dataset comprising 2004 images, with each category containing approximately 500 images.
DOI: 10.6084/m9.figshare.23682441.v1
title: Deciphering the Clinical Presentations in LMNA-Related Lipodystrophy: Report of 115 cases and a Systematic Review

description: Deciphering the Clinical Presentations in LMNA-Related Lipodystrophy: Report of 115 cases and a Systematic Review
DOI: 10.6084/m9.figshare.23926167.v1
title: CellTagged adipocyte precursors with Sox9-overexpressing progenitors (Dpp4+) by single-cell RNA-seq at P32 in mouse skin adipose tissue

description: 14,095 single cells across 2 biological replicates; whole transcriptomic data after quality control and filtering and other processing. 10X Genomics. Capybara scores and identities are included with own classification of P21 APCs used as reference. CellTags identify progenitors (Dpp4+) sorted by FACS with over-expression or knock down of Sox9, and a control CellTagged progenitor population. See Figure 4A in https://www.biorxiv.org/content/10.1101/2023.06.01.543318v1.
DOI: 10.6084/m9.figshare.25343113.v1
title: TEM images of induced prophages from bacterial strain <i>Leeuwenhoekiella aequorea </i>Arc30 isolated from Arctic Ocean surface microlayer.

description: The TEM images show induced prophages from bacterial strain <i>Leeuwenhoekiella aequorea </i>Arc30 isolated from Arctic sea-surface microlayer in 2021This dataset is associated with:Rahlff J, Westmeijer G, Weissenbach J, Antson A, Holmfeldt K. (2024) Viral challenges and adaptations between Central Arctic Ocean and atmosphere. <i>bioRxiv</i>. doi: 10.1101/2024.03.17.584458.andRahlff J, Westmeijer G, Weissenbach J, Antson A, Holmfeldt K. (2024) Surface microlayer-mediated virome dissemination in the Central Arctic. <i>Microbiome</i>. doi: 10.1186/s40168-024-01902-0<br>
DOI: 10.6084/m9.figshare.5649232.v1
title: Wang et al., supplmentary data set.xlsx

description: Data on chemical composition of dissolved organic matter leached from active and permafrost layers of Qinghai-Tibet Plateau, China<br>
DOI: 10.17632/sjpdyftxz9
title: eEF2K regulates pain through translational control of BDNF Smith et al.

description: Raw image files relating to Figure 2 eEF2K attenuates translation downstream of mGluR5, Figure 3 EF2K triggers the eIF2α phosphorylation through GCN2, and Figure 4 eEF2K/GCN2 signaling promotes translation of Bdnf. For all images, channel 1 represents PRPH immunofluorescence, and channel 2 represents the quantified target (PLA signal, p-eEF2, puromycin, or p-eIF2alpha). Details for each can be found in the figure legend.
DOI: 10.6084/m9.figshare.14527317.v4
title: Data and Code for "Meta-analysis of variation suggests that embracing variability improves both replicability and generalizability in preclinical research"

description: This repository is for: "Meta-analysis of variation suggests that embracing variability improves both replicability and generalizability in preclinical research".<br>1. Main analysis folder contains data (.rds) and R code (.R) for meta-regressions of lnCV, lnRR and lnCVR contained within the main manuscript (Figs 1-3).<br><br>2. Supplementary folder contains data (.rds) and R code (.R) for: i) second-order meta-regrssion of lnH; ii) arm-based meta-regression of lnSD; iii) sensitivity analyses of lnCV, lnRR and lnCVR; and iv) raw data for plotting the mean-variance relationship.
DOI: 10.6084/m9.figshare.29131991.v1
title: <b>Postoperative Infectious Pneumonia in Cardiothoracic Surgery: A Systematic Review and Meta-Analysis</b>

description: This systematic review and meta-analysis aimed to evaluate the incidence and perioperative risk factors for postoperative infectious pneumonia (PIP) in adult patients undergoing cardiothoracic surgery, including CABG, heart valve procedures, and thoracic oncologic surgeries. Following PRISMA 2020 guidelines, the authors conducted a rigorous search across PubMed, Embase, and Scopus for cohort studies published between January 2021 and December 2023. From 1,142 initial records, 6 high-quality cohort studies (totaling 4,392 patients) were included in the final analysis. The pooled incidence of PIP was 14.8% (95% CI: 10.6%–19.2%), with the highest rates observed after thoracic oncologic surgeries (17.2%). The most significant risk factors for PIP included: Prolonged mechanical ventilation &gt;48 hours (OR: 3.46) Advanced age &gt;70 years (OR: 2.71) Chronic obstructive pulmonary disease (COPD) (OR: 2.95) Extended cardiopulmonary bypass (CPB) time &gt;120 minutes (OR: 2.63) Reduced left ventricular ejection fraction (&lt;40%) (OR: 2.38) Statistical heterogeneity was moderate (I² = 46%), and no significant publication bias was detected. The study concludes that PIP is a frequent and serious complication after cardiothoracic surgery. Targeted preventive strategies—such as early extubation, lung-protective ventilation, and preoperative pulmonary optimization—are urgently needed to reduce the burden of this condition and improve surgical outcomes.
DOI: 10.6084/m9.figshare.5099875.v3
title: Supporting data for "Importance of neonatal immunoglobulin transfer for hippocampal development and behaviour in the newborn pig"

description: Supporting data for "Importance of neonatal immunoglobulin transfer for hippocampal development and behaviour in the newborn pig" (10.1371/journal.pone.0179195 )
DOI: 10.6084/m9.figshare.7204148.v1
title: SIMION simulations

description: SIMION simulation for co-axial velocity map imaging spectrometer
DOI: 10.6084/m9.figshare.c.3769724_d7.v1
title: Additional file 16: of Transcriptome analysis of smut fungi reveals widespread intergenic transcription and conserved antisense transcript expression

description: S. reilianum predicted antisense and putative orthologs with predicted antisense. (XLSX 417 kb)
DOI: 10.71796/wits-figshare.27678384.v1
title: Dataset for "Factors affecting students’ eLearning at one South African medical school: a cross-sectional survey"

description: The data presented here is from a survey that investigated the usage of information and communication technologies (ICT) for eLearning amongst the 2017 medical student population at Wits. The methodology used was a descriptive, cross-sectional, online and paper-based survey. The survey was generated using REDCap (Research Electronic Data Capture) software. The target population was stratified by points in the curriculum in which there is a change due to the teaching and learning methodology being used or the addition of new students into the class.
DOI: 10.17632/h3nxjj84vp
title: Electric vehicle charging stations and drivers dataset

description: # Data Description
## drivers.pickle
- Driver data generated by the simulator
- 667210 rows : 3 to 5 per Driver id
- 26 columns : Driver, staid, speed, chgerid etc

## meta.pickle
- Charging station data
- 30895 rows: Each electric vehicle charging station in the metropolitan area
- 25 columns : statid, chger id, chger type etc

## testset_df.pickle
- Dataset for Evaluation
- test.txt is about driverid and statid matching information
- correct answer by driverid Data with information about charging stations

## Data used in the experiment
### train.txt
- Charger stations used by driver
- driver : 0 ~ 185335
### test.txt
- Charger stations used by the driver
- Answer Data
- driver : 0 ~ 185335
DOI: 10.6084/m9.figshare.21340593.v2
title: WDUNeXt code

description: data in datasets folder is for training and validating, while test folder is for test
DOI: 10.17632/8v3s224grh
title: Suppl. Table 1. SALT score before and within 3 months after COVID-19 in patients with alopecia areata

description: Table shows SALT score before and within 3 months after COVID-19 in patients with alopecia areata.