cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/46kg8d7nnv
title: Push-pull suture: Supplementary Videos

description: Supplementary Video 1. Intra-op video demonstration of technique of push-pull suture on the face
Supplementary Video 2. Intra-op video demonstration of technique of push-pull suture in a large scar on the back
DOI: 10.17632/m9sfr33t96
title: TechICNP raw data

description: This data was collected before, after, and four weeks after the technology-based communication simulation training.
DOI: 10.17632/rg7pfvgwv8
title: Air Quality and Meteorological Data for Bahia's Monitoring Network

description: The dataset represents the air quality monitoring network in Bahia, operated by CETREL S.A. from 2011 to 2016. It encompasses eight stations located within the city of Salvador: Av. ACM-Detran (ACM), Av. Barros Reis (BR), Paralela-CAB (CAB), Campo Grande (CG), Dique do Tororó (DT), Itaigara (IT), Pirajá (PI), and Rio Vermelho (RV). In total, there are 1,526 samples (rows) available for each station, resulting in a dataset containing 12,208 rows. Each row comprises meteorological parameters and pollutant concentrations. The meteorological parameters encompass wind speed (VV), ambient temperature (TEMP), relative humidity (RH), and the standard deviation of wind direction (STWD). The pollutant concentrations include SO2, CO, O3, particulate matter with an aerodynamic diameter less than 10 micrometers (PM10), and nitrogen oxides in the form of carbon dioxide (NO2) and nitric oxide (NO).

We extend our sincere gratitude to CETREL S.A. for providing us access to this valuable dataset. Their collaboration has been instrumental in our research efforts, helping us gain insights into air quality and meteorological conditions in Bahia. We greatly appreciate their generous contribution to our work.
DOI: 10.17632/smfyg9255h
title: Physical Therapy Interventions for Knee Pain Secondary to Osteoarthritis

description: This report is based on research conducted by the Minnesota Evidence-based Practice Center (EPC) under contract to the Agency for Healthcare Research and Quality (AHRQ), Rockville, MD (Contract No. 290-2007-10064-I). Suggested citation: Shamliyan TA, Wang S-Y, Olson-Kellogg B, Kane RL. Physical Therapy Interventions for Knee Pain Secondary to Osteoarthritis. Comparative Effectiveness Review No. 77. (Prepared by the Minnesota Evidence-based Practice Center under Contract No. 290-2007- 10064-I.) AHRQ Publication No. 12(13)-EHC115-EF. Rockville, MD: Agency for Healthcare Research and Quality; November 2012. www.effectivehealthcare.ahrq.gov/reports/final.cfm.
DOI: 10.17632/23gwn43ygp
title: Data describing the regional Industry 4.0 readiness index

description: The data article presents a dataset suitable to measure regional Industry 4.0 (I4.0+) readiness. The I4.0+ dataset includes 101 indicators aggregated to NUTS 2 statistical level) based on open data in the field of education (ETER, Erasmus), science (USPTO, MA-Graph, GRID), government (Eurostat) and media coverage (GDELT). Indicators consider the I4.0-specific domain of higher education and lifelong learning, innovation, technological investment, labour market and technological readiness as indicators. A composite indicator, the I4.0+ index was constructed by the Promethee method, to identify regional rank regarding their I4.0 performance. The index is validated with economic (GDP) and innovation indexes (Regional Innovation Index).
DOI: 10.6084/m9.figshare.21591618.v4
title: PPI prediction from sequence, gold standard dataset

description: Gold Standard Dataset for sequence-based PPI prediction:Big dataset: 163,192 training points (Intra-1), 59,260 validation points (Intra-0), 52,048 test points (Intra-2)) + corresponding protein sequences from SwissprotNo direct data leakage: proteins from training are not contained in validation or test, proteins from validation are not in training or test, proteins from test are not in validation or trainingMinimized sequence similarity between training, validation, test because whole human proteome was split with KaHIP such that sequence similarities are minimized w.r.t. length-normalized bitscoresRedundancy-reduction with CD-HIT: inside of the datasets, no proteins with &gt;40% pairwise sequence similarityNew version: added sequence of Q96PU5 to the human_swissprot_oneliner
DOI: 10.17632/2vk5khfn6v
title: MID: Medicines Information Dataset

description: Numerous studies on medicines are conducted day by day. To address shortcomings of medicines information generation, prediction, and classification models, the authors introduce a large medicines information dataset of textual data. For this motivation, the authors named the medicines information dataset ‘MID’ .

• Value of the data
 - The dataset comprises extensive medicines information, featuring over 192k rows distributed across 22 diverse therapeutic classes.
 - The dataset can be beneficial to the classification of therapeutic classes and robust for the prediction and generation of medicines information such as indications or interactions for enhancing efficiencies in clinical trial management, facilitating a detailed analysis of the risk affecting participants in clinical trials.
 - The dataset includes the name, link, contains, introduction, uses, benefits, side effects, how to use, how the drug works, quick tips, chemical class, habit forming, therapeutic class, action class, safety advice to alcohol, safety advice to pregnancy, safety advice to breastfeeding, safety advice to driving, safety advice to kidney, and safety advice to the liver.
 - The dataset is big data, making it a suitable corpus for implementing both classical as well as deep learning models.
 - The dataset provides a useful resource for medical researchers, healthcare professionals, drug manufacturers, data scientists, and enthusiasts interested in exploring the world of medicines and healthcare products preclinical for drug development and design.

• MID.xlsx provides the raw data, including medicine information. The data collected to ensure an acceleration and save experimental efforts for medicines through help in predicting or generating or classifying of medicine information preclinically. 

• Therapeutic_class_counts.xlsx is summarize distribution of medicines per therapeutic class.
DOI: 10.17632/jmm33c6dny
title: DTU Wind Turbine Blade Damage Inspection Dataset using Thermography

description: This dataset includes blade damage inspection results using passive thermography when the blades are under cyclic loads or in operational wind turbines. The dataset is used in the development of AQUADA and AQUADA PLUS. 
The related papers are:
[1]	Chen, X., Shihavuddin, ASM., Madsen, S. H., Thomsen, K., Rasmussen, S., & Branner, K. (2021). AQUADA: Automated quantification of damages in composite wind turbine blades for LCOE reduction. Wind Energy, 24(6), 535-548. https://doi.org/10.1002/we.2587
[2]	Chen, X., Semenov, S., McGugan, M., Madsen, S. H., Yeniceli, S. C., Berring, P., & Branner, K. (2021). Fatigue testing of a 14.3 m composite blade embedded with artificial defects – damage growth and structural health monitoring. Composites Part A: Applied Science and Manufacturing, 140, [106189]. https://doi.org/10.1016/j.compositesa.2020.106189
[3]	Chen, X., Janeliukstis, R., & Sarhadi, A. (2022). Thermographic data analytics-based damage characterization in a large-scale composite structure under cyclic loading. Composite Structures, [115525]. https://doi.org/10.1016/j.compstruct.2022.115525 
[4]    Chen, X., Sheiati S., Shihavuddin, ASM., AQUADA PLUS: Automated Damage Inspection of Cyclic-loaded Large-scale Composite Structures using Thermal Imagery and Computer Vision. Composite Structures https://doi.org/10.1016/j.compstruct.2023.117085
DOI: 10.17632/xf9kb7yfwr
title: PyBEST: Improved functionality and enhanced performance

description: We present a methodological update to the Pythonic Black-box Electronic Structure Tool (PyBEST), a fully-fledged modern electronic structure software package. Among other things, these include the extensions to pair Coupled Cluster Doubles (pCCD) open-shell electronic structures via the ionization potential and double ionization potential equation of motion formalism (IP-EOM-pCCD and DIP-EOM-pCCD), tailored Coupled Cluster methods, EOM extensions on top of the linearized Coupled Cluster correction on top of pCCD, the configuration interaction correction on top of pCCD, and the static pCCD-in-DFT embedding. Furthermore, we have increased the performance of PyBEST by optimizing its underlying tensor contraction engine and providing GPU support via the CuPy library.
DOI: 10.17632/gg24hxmj7v
title: Code for Thyroid Explainer Model

description: This dataset contains the source code for the Thyroid Explainer Model. 
The black box nature of AI's decision-making process makes it difficult for users to grasp the foundation of AI's predictions. Meanwhile, explainability is not only related to AI performance but also responsibility and risk in medical diagnosis.
Thyroid Explainer is an intrinsically explainable framework that can categorize images and create heatmaps highlighting the regions where its predictions are based. It offers physicians a tool to understand the basis of AI predictions and eval its reliability
DOI: 10.6084/m9.figshare.26274052.v1
title: ResFac Data.csv

description: Faculty-in-Residence programs – where small cohorts of faculty live in residential colleges with students – are becoming more popular across the U.S. Despite the abundance of research highlighting the benefits of a robust Residential Faculty program for both students and universities, we know comparatively little of how faculty presence in residential colleges facilitates the support and community necessary to achieve these outcomes. To address this, we conduct a mixed-methods investigation to understand student perceptions of how Residential Faculty provide social support, and whether they are more likely to seek this support from Residential Faculty than general faculty on campus. Results detail the myriad types of support students seek from Residential Faculty and suggest that students are more likely to trust Residential Faculty over general faculty, report more efficacy interacting with Residential Faculty, and are more likely to seek out Residential Faculty for emotional support than general faculty. These outcomes are discussed in reference to their impact on theorizing in this area as well as practical outcomes relevant to student development and engagement.
DOI: 10.17632/w33nhh3282
title: A dataset for accounting, finance and economics research on US data breaches

description: The data set consists of 506 data breaches and associated characteristics that affected US listed companies over a 10-year period from April 2005 to March 2015. The data set was gathered from the Privacy Rights Clearinghouse (PRC) and then augmented with manual data collection.
DOI: 10.17632/cvm984g257
title: XMDS2: Fast, scalable simulation of coupled stochastic partial differential equations

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract XMDS2 is a cross-platform, GPL-licensed, open source package for numerically integrating initial value problems that range from a single ordinary differential equation up to systems of coupled stochastic partial differential equations. The equations are described in a high-level XML-based script, and the package generates low-level optionally parallelised C++ code for the efficient solution of those equations. It combines the advantages of high-level simulations, namely fast and low-error dev... Title of program: XMDS2 Catalogue Id: AENK_v1_0 Nature of problem General coupled initial-value stochastic partial differential equations. Versions of this program held in the CPC repository in Mendeley Data AENK_v1_0; XMDS2; 10.1016/j.cpc.2012.08.016
DOI: 10.17632/j44f98pms7
title: Data and codes for "Revenue- versus spending-based fiscal consolidation announcements: multipliers and follow-up"

description: These files contain programs to produce the Tables and Figures in the article "Revenue- versus spending-based fiscal consolidation announcements: multipliers and follow-up," Journal of International Economics
DOI: 10.17632/4hyfjfjj5f
title: Data for: Subsidy Analysis and Development Trend Forecast of China's Unconventional Natural Gas under the New Policy

description: The relationship between unconventional gas subsidies, prices and production
DOI: 10.17632/dzdbkmjf8s
title: Data for: A new solving function optimization problems methods------Resonance Algorithm

description: RA experimental data
DOI: 10.17632/t6vw8kr66g
title: Higher Education Students’ Social Media Platform Preferences for Educational Purposes

description: RED. Revista de Educación a Distancia. Núm. 72, Vol. 23. Artíc. 7, 9-enero-2023 DOI: http://dx.doi.org/10.6018/red.491551
DOI: 10.17632/xz2nykszbs
title: water leakage

description: This dataset contains all the water leakage images used in this study.
DOI: 10.6084/m9.figshare.20224029.v1
title: Database (splitted 6/9)

description: The database presented here provides recordings of everyday walk scenarios in a natural urban environment, including synchronized IMU-, FSR-, and gaze data. Twenty healthy participants (five females, fifteen males, between 18 and 69 years old, 178.5 $\pm$ 7.64 cm, 72.9 $\pm$ 8.7 kg) wore a full-body Lycra suit with 17 IMU sensors, insoles with eight pressure sensing cells per foot, and a mobile eye tracker. They completed three different walk courses, where each trial consisted of several minutes of walking, including a variety of common elements such as ramps, stairs, and pavements. The data is annotated in detail to enable machine-learning-based analysis and prediction.
DOI: 10.6084/m9.figshare.28956362.v2
title: <b>4.4 sentiment analysis of all reviews</b>

description: Sentiment analysis on Reviews of LIS NET study material in Flipkart
DOI: 10.17632/vdxvtsgrzc
title: Media Biased Change in Beliefs or Opinions

description: DESCRIPTION: Test the hypothesis that media information has immediate and delayed effect on peoples per-existing opinion. Data collected from 91 students giving opinion on 6 health related questions before and after, as well as one week after, watching a recorded TV interview with a cardiac surgeon. The opinion of the surgeon is very biased. The number of YES (agree with health related statement) increased statistically significantly immediately after and remained statistically elevated even one week after as based on a one sample t-test, reference mean value 0. While the change in the number of YES was elevated one week later, it tended to decrease in contrast to immediately after, which may indicate a dissipation in the learned/biased information.
DOI: 10.17632/ms8d7svf8n
title: COMSOL models and simulation videos for elastic waves for damage detection in fiber/polymer composites

description: This study investigates the 3D propagation of elastic waves in a multi-layer carbon fiber reinforced polymer (CFRP) composite plate using finite element analysis (FEA) in COMSOL. Elastic wave propagation is analyzed using Fourier-based frequency-wavenumber domain filtering. Wavefields are usually a component of the velocity or displacement at the top surface of the composite, and they contain detailed information about the guided waves. Reflections from edges and wave scattering from defects can be readily identified. Applying Fourier-based techniques to the wavefields and probe time signals can reveal the state of the composite, making it possible to distinguish between a pristine composite laminate and a composite laminate with defects. 2D and 3D Fourier-based frequency-wavenumber domain filtering can separate the wave into different modes, using which the delamination zones can be located. All COMSOL models are open access to support further study on the topic.
DOI: 10.17632/zgktc578f4
title: Dataset for Assessing the potential of produced water as an unconventional water resource for agriculture in the Anadarko Basin

description: This excel file includes data associated with the manuscript entitled "Assessing the potential of produced water as an unconventional water resource for agriculture in the Anadarko Basin." 

The file includes five data tables related to produced water quality, annual volumes of water use for irrigation and livestock, produced water volume estimates, produced water available for reuse, and produced water treatment scenarios.
DOI: 10.17632/8r3zvmjzhf
title: Identification of a novel mutation in the SERPING1 gene in a 17-year-old Chinese girl with type I hereditary angioedema

description: Supplemental figure During prophylactic treatment, there was no further facial edema and facial normality continued.
DOI: 10.17632/fbscmmg4y5
title: Mendeley Supplement 1 for "Disparities in Asian American Melanoma Diagnosis and Treatment from 1990-2014"

description: Mendeley Supplement 1 for "Disparities in Asian American Melanoma Diagnosis and Treatment from 1990-2014"
DOI: 10.17632/9k4r5mppmy
title: Precipitation acidity data for the Northern Hemisphere, 2000-2021

description: This data integrates precipitation pH and acid deposition data from four Northern Hemisphere sedimentation networks. The data allow for the quantification of the rate of change of precipitation acidification in the Northern Hemisphere. At the same time, the data are collocated with global pollutant emissions, which makes it possible to quantify the contribution of pollutants from different emission sources to the reduction of precipitation acidification.
DOI: 10.17632/hr56w6953m
title: Amazonian tree seedlings stimulated by carbon nanoparticles

description: The data were collected during experiment with Amazonian tree species (Bertholletia excelsa, Carapa vasquezii, Hevea brasiliensis) in control and treatment groups. Treatments were carbon nanoparticles applications on seedlings substrate, 5 ml of arboline in 400mg/ml were applied once a week during one month. The completely random double factorial (3x2) were tested for normality and variances homogeneity and non-parametric distribution was predominant. Biometric measures were collected in the beggining and in the end of growth period, from march to june. Morphoanatomy leaf traits collected in the end of growth period, together with biochemical contents. Gases exchanges were collected during the first month, while nanoparticles treatment was performed. Spearman's correlation and false discovery rate at 99% significant level are available in separate tables. Also, R' script for provided statistical analyses are provided.
DOI: 10.6084/m9.figshare.19642428.v1
title: RoB2_©Dopper A, Bogossian F, Steele M, Hough J. High flow nasal cannula for respiratory support in term infants. Cochrane Database of Systematic Reviews

description: RoB2 Excel Tool Cochrane.
DOI: 10.6084/m9.figshare.28747661.v1
title: Tunnel data

description: Geometric properties of the spherical model of the ribosome exit tunnel generated by MOLE2.5 across three kingdoms
DOI: 10.17632/2vfbrdxyf2
title: Morpho-physiological and biochemical data of Elaeagnus angustifolia grown under contrasting regime of water and fertilizer in coal-mined spoils

description: Raw and Analysis of variance data of different responses associated with the figures are uploaded.
DOI: 10.17632/f65ysxxw5z
title: 18F-FDG PET/CT May Predict Tumor Type and Risk Score in Gestational Trophoblastic Disease

description: Purpose: The aim of this study was to investigate the role of 18F-FDG PET/CT in predicting pathological prognostic factors, including tumor type and International Federation of Gynecology and Obstetrics (FIGO) score, in gestational trophoblastic disease (GTD).

Methods: Retrospective monocentric study including 24 consecutive patients who underwent to 18F-FDG PET/CT from May 2005 to March 2021 for GTD staging purpose. The following semiquantitative PET parameters were measured from the primary tumor and used for the analysis: maximum standardized uptake value (SUVmax), SUVmean, metabolic tumor volume (MTV) and total lesion glycolisis (TLG). Statistical analysis included Spearman correlation coefficient to evaluate the correlations between imaging parameters and tumor type (nonmolar trophoblastic vs postmolar trophoblastic tumors) and risk groups (high vs low, defined according to the FIGO score), whereas area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to assess the predictive value of the PET parameters. Mann-Whitney U test was used to further describe the parameter's potential in differentiating the populations.

Results: SUVmax and SUVmean resulted fair (AUC, 0.783; 95% confidence interval [CI], 0.56-0.95) and good (AUC, 0.811; 95% CI, 0.59-0.97) predictors of tumor type, respectively, showing a low (ρ = 0.489, adjusted P = 0.030) and moderate (ρ = 0.538, adjusted P = 0.027) correlation. According to FIGO score, TLG was instead a fair predictor (AUC, 0.770; 95% CI, 0.50-0.99) for patient risk stratification.

Conclusions: 18F-FDG PET parameters have a role in predicting GTD pathological prognostic factors, with SUVmax and SUVmean being predictive for tumor type and TLG for risk stratification.
DOI: 10.17632/vw4xhj9vwb
title: SAXS curve of human L-chain Ferritin wild type loaded with 1000 Iron/protein shell
DOI: 10.17632/9v4rpjvydh
title: Data for: Utilization of produced water baseline as a groundwater monitoring tool at a CO2-EOR site in the Permian Basin, Texas, USA

description: Produced water and groundwater geochemistry data from the area around a CO2 enahnced oil recovery field in the Permian Basin.
DOI: 10.17632/5x7x6jwhjt
title: Data for: Inflammation and CB2 signaling drive novel changes in the ocular lipidome and regulate immune cell activity in the eye

description: Ocular lipidomics of 26 lipids in 6 treatment groups. Data presented as numeric means, SEM
DOI: 10.6084/m9.figshare.6200357.v1
title: Quality and completeness scores for curated and non-curated datasets

description: These data contain aggregated survey responses assessing the quality and completeness of metadata for datasets deposited in public repositories and for the same datasets after professional curation.<br>Responses were provided by 10 professional editors representing life, social and physical sciences. Each were randomly assigned four datasets to assess, half (20) of which had been curated according to the standards of Springer Nature's Research Data Support service and half (20) which had not.<br>Curated datasets were shared privately with research participants. The versions that did not receive curation via Springer Nature's Research Data Support are openly accessible.<br><br>Single-blind testing was employed; the researchers were not made aware which datasets had been curated and which had not, and it was ensured that no participant assessed the same dataset before and after curation. Responses were collected via an online survey. The relevant question and scoring is provided below:<br><br><i>Rate the overall quality and completeness of the metadata for the dataset (with regards to finding and accessing and citing the data, not reusing the data)1 = not complete, 5 = very complete</i>