cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/m99btm5s7r
title: A 36-week, randomized, placebo-controlled trial of Citrus supplementation in subjective cognitive decline

description: The aim of this study is to determine the effects of long-term supplementation with Citrus peel extract on cognitive performance and inflammation in 80 individuals with subjective cognitive decline (SCD). Participants were randomly assigned to active treatment (400 mg of Citrus peels extract containing 3.0 mf of naringenin and 0.1 mg of auraptene) or placebo at 1:1 ratio for 36 weeks. The mean age of participants was 68.5+4.2 years. They were in prevalence females (75%) and highly educated (13.7+3.4 years). The primary endpoint was the change in the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) total score across the 36-week trial period. Other cognitive outcomes included tests and scales evaluating verbal memory, attention, executive and visuospatial functions, and self-reported memory concerns. The secondary endpoint was the change of interleukin-8 (IL-8) over the 36-week trial period in a subsample of consecutive 60 participants.
The RBANS total score showed significant improvement in both Citrus peel extract and placebo groups at 36 weeks (p for time &lt;.001, d=0.36, p time x treatment=.910). Significant time effects were also found in cognitive domains of short- and long-term verbal memory (p &lt;.001) and scales of subjective memory (p &lt;.01), with no significant time x treatment interaction. The largest effect sizes were observed in verbal memory in the placebo group (d=0.69 in short-term, and d=0.78 in long-term verbal memory). Increased IL-8 levels were found at 36-week follow-up in both Citrus peel extract and placebo groups (p for time=.010, d=0.21, p time x treatment=.772).
The database contains cognitive and subjective memory variables at baseline, 18- and 36-weeks, and IL-8 at baseline and 36-weeks. Data dictionary is included.
DOI: 10.17632/sspdd95rcs
title: Supplementary material - Topical Sodium Thiosulfate as Treatment of Calcinosis Cutis: Case Series and Systematic Review

description: Supplementary Fig 1 and Supplementary Tables 1 and 2 for the Journal of the American Academy of Dermatology (JAAD) submission JAAD-D-21-00430 - Topical Sodium Thiosulfate as treatment of Calcinosis Cutis: A Case Series and Systematic Review.
DOI: 10.6084/m9.figshare.7568876.v1
title: Metagenome-assembled genome (MAG) information from Nome Creek, Alaska soils

description: Information on 54 prokaryotic metagenome-assembled genome (MAG) sequences binned from a co-assembly of 12 soil samples from this wildfire impacted upland Alaskan boreal forest soils. <br>Taş N, Prestat E, McFarland JW, Wickland KP, Knight R, Berhe AA, Jorgenson T, Waldrop MP, Jansson JK. 2014. Impact of fire on active layer and permafrost microbial communities and metagenomes in an upland Alaskan boreal forest. ISME J 8:1904. doi:10.1038/ismej.2014.36<br>
DOI: 10.17632/n5fm9vbf45
title: OpenFoam script He jet in Air 2SLM 1mm

description: See readme.md
Case for the simulation of 2 SLM laminar Helium gas jet injected in air implementing the contribution of Dufour effect heat transfer.
DOI: 10.6084/m9.figshare.29189921.v1
title: Data of sadA role in Staph pathogenicity

description: Aromatic amino acid decarboxylase is prevalent in bacteria associated with food fermentation and human commensal. This enzyme, called SadA, is reported to be found in various staphylococcal species and might contribute to colonization and host-bacteria interactions. However, the role of SadA in staphylococcal pathogenicity related to infection is understudied. This study aims to evaluate the role of <i>sadA</i> in the pathogenicity of <i>Staphylococcus pseudintermedius</i> ED99 and <i>Staphylococcus aureus</i> USA300 LAC using invertebrate and mammalian infection models. We performed a <i>Galleria mellonella</i> survival assay, a mouse infection model, and analysis of trace amine levels using high-performance liquid chromatography (HPLC). In addition, cytokine production in human monocyte cells (Monomac-6) exposed to trace amines was also measured. The results showed that <i>sadA</i> expression increased the virulence of <i>S. pseudintermedius</i> ED99 on <i>G. mellonella</i> when supplemented with aromatic amino acids, but in a mouse model, no significant differences were found in infection rates, bacterial burdens, or trace amine production between strains with and without <i>sadA</i>. Moreover, tryptamine only induced IL-10 production in Monomac-6 cells at high concentration (50 μg/ml). In conclusion, <i>sadA </i>does not play a significant role in staphylococcal pathogenicity in mammalian models due to substrate limitations in the host.
DOI: 10.6084/m9.figshare.7276595.v2
title: Tables from Contrasting evolutionary history, anthropogenic declines and genetic contact in the northern and southern white rhinoceros (<i>Ceratotherium simum</i>).

description: MS Excel file of supplementary tables
DOI: 10.17632/4rpbg5jk89
title: Dataset for assessing the impact of knowledge management on firm performance: the moderating effect of company size

description: Sample is consisted of managers in large and medium sized industrial companies. - Company directors are considered to have a greater insight into providing information related to knowledge management and performance practices. - The moderating effect of company size in knowledge management and performance is not well explored in literature.
DOI: 10.17632/dvfcf9mjzj
title: Diseño de proformas para análisis de indicadores financieros: Un caso Práctico para la enseñanza (Design of Templates for Financial Indicator Analysis: A Practical Case for Teaching)

description: Este documento en formato en excel, contiene un diseño de proformas para el análisis de indicadores financieros de una empresa. Mediante un caso práctico ha sido utilizado para cursos de valoración de estados financieros o valoración financiera, análisis financiero y similares en la Universidad Cooperativa de Colombia. Los autores comparten esta herramienta pedagógica aplicada, donde los alumnos pueden desarrollar el análisis financiero a partir de los estados financieros de una empresa real, calculando, interpretando y analizando los resultados de todos los indicadores entre los que encuentran: Indicadores de liquidez, endeudamiento, actividad, rentabilidad, punto de equilibrio, desempeño, productividad, y diagnóstico.

This Excel document contains a template for analyzing a company’s financial indicators. It has been used in practical cases for courses on financial statement valuation, financial analysis, and similar topics at the Universidad Cooperativa de Colombia. The authors share this applied pedagogical tool, where students can develop financial analysis based on the financial statements of a real company, calculating, interpreting, and analyzing the results of all indicators, including: liquidity, debt, activity, profitability, break-even point, performance, productivity, and diagnosis.
DOI: 10.6084/m9.figshare.1568244.v3
title: Surface modification of electrospun poly(methyl methacrylate) (PMMA) nanofibers for the development of <i>in vitro</i> respiratory epithelium model

description: Scaffold design is an important aspect of <i>in vitro</i> model development. In this study, nanoscaffold surface modification, namely UV radiation and genipin cross-linking to immobilize collagen on the surface of electrospun poly (methyl methacrylate) (PMMA) nanofiber sheet was investigated. Samples were divided into four groups; PMMA nanofibers (PMMA), collagen-coated PMMA nanofibers (PMMACOL), genipin cross-linked collagen-coated PMMA nanofibers (PMMAGEN), and UV-irradiated collagen-coated PMMA nanofibers (PMMAUV). 6 h of UV radiation significantly reduced the hydrophobicity of PMMA nanofibers from (131.88° ± 1.33°) to (110.04° ± 0.27°) (<i>p</i> p 4 ± 2.77 × 10<sup>4</sup> cells/cm<sup>2</sup>) and it has the highest proliferation rate from day 4 to 9 (0.005 ± 0.003 h<sup>−1</sup>) compared to the other groups. Even though PMMAGEN group showed the highest collagen adsorption, in terms of cells attachment and proliferation, PMMAUV group showed a better outcome compared to the other groups. Thus, PMMAUV scaffold is more suitable to be used in the construction of <i>in vitro</i> respiratory epithelial model.
DOI: 10.17632/b5t3rkn5cg
title: Quantitative description of internal 3D structure of a geological sample using algebraic topology methods

description: This data is a result of 3d X-mCT study of a real geological sample (meimechite from the Kontozero complex) and its analysis using Minkowski functionals. File 1 is the initial X-ray Computed Tomography pattern. Files 2-5 contain 4 phases (brightness levels, X-ray density levels) on the initial pattern. They were separated by the multi-Otsu method. File 6 contains 3d scatterplots for each of the phases in the Minkowski functionals (M0-M1) volume.
DOI: 10.6084/m9.figshare.7058900.v1
title: Modelling the brain response to arbitrary visual stimulation patterns for a flexible high-speed Brain-Computer Interface

description: <b>1. General description</b>Data was recorded using BCI2000 with g.USBamp (g.tec, Austria) EEG amplifier. 32 electrodes were used. Sampling rate was set to 600 Hz and data was bandpass filtered by the amplifier between 0.1 Hz and 60 Hz using a Chebyshev filter of order 8 and notch-filtered at 50 Hz. Data was stored as MATLAB mat-File, whereas each file is the data of one participant. <br><b>2. Experimental description</b>The experiment was split in three parts: spatial filter runs, training runs, testing runs. The stimulation patterns were presented with 60 bits per second and each run consits of 32 trials. During the testing runs, the runs were alternated between using random stimulation patterns and optimized stimulation patterns. As all trials were concatenated, this has to be taken into account. Furthermore, the participants had to perform the trials of each run in lexicographic order.<b><br></b><b>3. Variable description</b>Each file VP*.mat contains the following variables:- spfilter_data_x contains the raw EEG data of the spatial filter runs split by each m-sequence cyle. As there were 3 runs with 32 trials and 3 m-sequence cycles each, there are 3*32*3=192 m-sequence cycles in total. Since the m-sequence was shifted by 2 bits for each succesive target, the trials were lag-fixed previously. As the m-sequence consists of 63 bits, the data consists of 63/60*600=630 samples. Therefore the matrix has the following dimension: #m-sequences X #channels X #samples- spfilter_data_y contains the stimulation pattern for each m-sequenze cycle upsampled to be synchronized with the EEG data. The matrix has the following dimension: #m-sequences X #samples- train_data_x_*s contains the raw EEG data of the training runs split by trials. As different trial durations were used during training, * denotes the duration in seconds. The matrix has the following dimension: #trials X #channels X #samples- train_data_y_*s contains the stimulation pattern for each target during the training runs, upsampled to be synchronized with the EEG data. As the layout consits of 32 targets, the matrix has the following dimension: #trials X #targets X #samples- test_data_x contains the raw EEG data of the training runs split by trials. The trial duration was 2 seconds, therefore, there are 1200 samples per trial. The matrix has the following dimension: #trials X #channels X #samples- test_data_y contains the stimulation pattern for each target during the testing runs, upsampled to be synchronized with the EEG data. As the layout consits of 32 targets, the matrix has the following dimension: #trials X #targets X #samples There is an additional file "targetdelys.mat" containing a variable with the number of samples for each target (in lexicographic order) used to correct the raster latency.
DOI: 10.17632/4xkc5jtjj5
title: Repository of Water Quality Datasets & Models for the Lenguazaque River Basin (Cundinamarca, Colombia)

description: This repository contains the datasets, models, and code necessary to reproduce the methods 
related to water quality of my PhD Thesis. The Thesis can be found here -> https://repositorio.uniandes.edu.co/handle/1992/64730
Specifically, the methods are described in Section 3.3 of the Thesis and in the study area is presented in Chapter 4. 
Accordingly, materials in this repository lead to the results presented in Chapter 5.  These contents are also found in the following peer reviewed publication, currently under review:

Fernandez, N. & Camacho L.A. (2023). Water quality modeling in headwater catchments: 
Comprehensive data assessment, model development and simulation of scenarios. Water. Under 
review (submitted on January 20th, 2023).

The repository is organized according to the following description:
▪ Folder 1 (Data): This folder contains all primary and secondary water quality records available 
at the sites presented in Fig. 5.19 and described in Table 5.7.
▪ Folder 2 (Models): This folder contains all QUAL2Kw model files with the results presented 
in Section 5.3.2.3. Files are available for calibrated and verified models in Streams A, B, and C 
as defined in Fig. 5.25. The files include models with optimal parameters, as well as quantiles 
2.5 and 97.5 quantiles as presented in Table 5.13.
▪ Folder 3 (Code): This folder contains the analyses of the three stages of the proposed 
framework for water quality modeling, as presented in Table 3.2, where code was involved. All 
codes were written in Matlab and are numbered following the order of the activities of the 
proposed framework as closely as possible.
DOI: 10.17632/g7tjh7tbrj
title: ChemTables: dataset for table classification in chemical patents

description: Chemical patents are a commonly used channel for disclosing novel compounds and reactions, and hence represent important resources for chemical and pharmaceutical research.  Key chemical data in patents is often presented in tables.  Both the number and the size of the tables can be very large in patent documents.  In addition, various types of information can be presented in tables in patents, including spectroscopic and physical data,  or pharmacological use and effects of chemicals.  Categorisation of tables based on the nature of their content can help to support finding tables containing key information, improving the accessibility of information in patents that is highly relevant for new inventions. To enable the research on methods for automatic table categorization, we developed a new dataset, called ChemTables, which consists of 788 chemical patent tables with labels of their content type. We also provide a stratified 60:20:20 split for train/dev/test set here, which can be used as a standard split for evaluating methods on table categorization task on this dataset. We have also included the tables in its XML format in Version 3.
DOI: 10.17632/x92rnd3ryw
title: Bacillus bioeconomy patents

description: Data regarding Derwent Innovation Index database from the World Intellectual Property Organization (WIPO) patent document research performed for the "Bacillus genus industrial applications through a circular bioeconomy approach" article.
DOI: 10.17632/5tjtrpgwws
title: Hen's egg white database - FASTA format

description: Full length protein sequences in FASTA format of hen's egg white allergens - including ovomucoid (3 variants), ovalbumin (5 variants), Ovotransferrin (6 variants) and lysozyme (7 variants).
DOI: 10.6084/m9.figshare.26325037.v1
title: Nordic potato microsatellite dataset

description: Microsatellite (SSR) data analysed in the manuscript “Genetic markers identify duplicates in Nordic potato collections” (2024) by Pawel Chrominski, Ulrika Carlson-Nilsson, Anna Palmé, Hanne Grethe Kirk, Åsmund Asdal, Lena Ansebo.
DOI: 10.6084/m9.figshare.3505877.v1
title: SART data

description: Includes raw data from the SART (SARTexp_subID.mat files) and the averages for each subject in an excel file.
DOI: 10.17632/5ssmfpgrpc
title: Photovoltaic module dataset for automated fault detection and analysis in large photovoltaic systems using photovoltaic module fault detection

description: The PVMD dataset has 3-category of 1000 images, which includes both permanent and temporal anomalies in solar cells of PV module such as hotspots, cracks, and shadings. The dataset was collected on September 5, 2024 at the Soshanguve South Campus, Tshwane University of Technology, South Africa using DJI Mavic 3 Thermal’s high-resolution thermal and visual imaging capabilities. The PVMD dataset comprises three folders, namely Hotspots, Cracks, and Shadings. The folder name is the name of the particular anomaly in it. The Hotspots folder comprises 350 thermal generated images; the Cracks folder comprises 350 thermal generated images; and the Shadings folder comprises 300 thermal generated images. The dataset collection aims to provide supervised and publicly available dataset good enough to support research method in providing a comprehensive and efficient approach to monitoring and maintaining large PV systems.
DOI: 10.6084/m9.figshare.20134988.v1
title: Multicolour performance of MAI-SIM

description: MAI-SIM.reconstructions of fixed samples imaged in a sequential acquisition mode.
DOI: 10.17632/9vvrd34f8t
title: Dataset of development of business during the COVID-19 crisis

description: To create the dataset, the top 10 countries leading in the incidence of COVID-19 in the world were selected as of October 22, 2020 (on the eve of the second full of pandemics), which are presented in the Global 500 ranking for 2020: USA, India, Brazil, Russia, Spain, France and Mexico. For each of these countries, no more than 10 of the largest transnational corporations included in the Global 500 rating for 2020 and 2019 were selected separately. The arithmetic averages were calculated and the change (increase) in indicators such as profitability and profitability of enterprises, their ranking position (competitiveness), asset value and number of employees. The arithmetic mean values of these indicators for all countries of the sample were found, characterizing the situation in international entrepreneurship as a whole in the context of the COVID-19 crisis in 2020 on the eve of the second wave of the pandemic. The data is collected in a general Microsoft Excel table. Dataset is a unique database that combines COVID-19 statistics and entrepreneurship statistics. The dataset is flexible data that can be supplemented with data from other countries and newer statistics on the COVID-19 pandemic. Due to the fact that the data in the dataset are not ready-made numbers, but formulas, when adding and / or changing the values in the original table at the beginning of the dataset, most of the subsequent tables will be automatically recalculated and the graphs will be updated. This allows the dataset to be used not just as an array of data, but as an analytical tool for automating scientific research on the impact of the COVID-19 pandemic and crisis on international entrepreneurship. The dataset includes not only tabular data, but also charts that provide data visualization. The dataset contains not only actual, but also forecast data on morbidity and mortality from COVID-19 for the period of the second wave of the pandemic in 2020. The forecasts are presented in the form of a normal distribution of predicted values and the probability of their occurrence in practice. This allows for a broad scenario analysis of the impact of the COVID-19 pandemic and crisis on international entrepreneurship, substituting various predicted morbidity and mortality rates in risk assessment tables and obtaining automatically calculated consequences (changes) on the characteristics of international entrepreneurship. It is also possible to substitute the actual values identified in the process and following the results of the second wave of the pandemic to check the reliability of pre-made forecasts and conduct a plan-fact analysis. The dataset contains not only the numerical values of the initial and predicted values of the set of studied indicators, but also their qualitative interpretation, reflecting the presence and level of risks of a pandemic and COVID-19 crisis for international entrepreneurship.
DOI: 10.17632/pnvtb28s8v
title: Comparative Analysis of Large Language Models and Human Instructors in Evaluating Students Writing

description: Comparative Analysis of Large Language Models and Human Instructors in Evaluating Students Writing
DOI: 10.6084/m9.figshare.20431278.v1
title: Raw Dataset for figure

description: Raw Dataset For Figure
DOI: 10.6084/m9.figshare.5125768.v1
title: Supplementary Material for: Understanding Medical Care of Transplant Recipients through Integrated Registry and Pharmacy Claims Data

description: <b><i>Background:</i></b> Limited data exist on medication use aside from immunosuppression among large samples of kidney transplant recipients. <b><i>Methods:</i></b> We examined a novel database wherein Organ Procurement and Transplantation Network (OPTN) registry data were linked to records from a US pharmaceutical claims clearinghouse (2005-2010 claims) to examine pharmaceutical care at the first transplant anniversary (n = 16,157). We quantified the use of the following medication types within ±60 days of the first-year OPTN report according to estimated glomerular filtration rate (eGFR): antihypertensives, lipid-lowering, bone and mineral, and anemia treatments. Adjusted associations of medication use with eGFR and other clinical factors were quantified by multivariate logistic regression. <b><i>Results:</i></b> Requirements for multiple antihypertensive agents rose with lower eGFR, with β-blockers comprising the most commonly used antihypertensive agent. The adjusted likelihood of vitamin D (adjusted odds ratio (aOR) 2.07, 95% CI 1.19-3.59) and especially erythrocyte-stimulating agents (aOR 19.94, 95% CI 7.01-56.00) rose in a graded manner to peak with eGFR &lt;15 versus &gt;90, whereas statin use was most common with eGFR 30-59 ml/min/1.73 m<sup>2</sup>. Black race was independently associated with increased use of all classes of antihypertensives and vitamin D, but lower adjusted statin use. Rapamycin-based immunosuppression was associated with increased use of statins and erythrocyte-stimulating agents. <b><i>Conclusions:</i></b> Integrated registry and pharmacy fill data provide a novel tool for pharmacoepidemiologic investigations of delivered post-transplant care. Transplant recipients with reduced renal function have increased requirements for pharmaceutical care of comorbidities. Causes of racial variation in medication fills warrant further investigation.
DOI: 10.6084/m9.figshare.903716.v17
title: FeelingFuture Meta-analysis

description: Databases and software scripts in R to calculate Bayes Factor and Bayesian estimates of effect sizes and tau-squared
DOI: 10.17632/33bbncb5h4
title: Simulation of the Propagation and Effects of Gravity Waves Generated by Tonga Volcano Eruption in the Thermosphere and Ionosphere Using Nested-Grid TIEGCM

description: Data for each figure. Plotting programs are also included.
DOI: 10.17632/t2pzcb37y8
title: Pan-genome data for the genes in "Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data"

description: The pan-genome data for the paper under review. Files are in fasta format.
DOI: 10.6084/m9.figshare.23494376.v1
title: <strong>Enhanced Machine Learning-based Fast and Effective Epileptic Seizure Detection</strong>

description: This research presents an automated method for identifying and diagnosing epilepsy using EEG signals using a hybrid of an Improved Adaptive Neuro-Fuzzy Inference System (IANFIS) and a Light Gradient Boosting Machine (LightGBM). The experimental results were based on scalp EEG data collected at Children's Hospital Boston and EEG datasets made public by the German University of Bonn. According to the results, the proposed IANFIS-LightGBM provides the highest classification accuracy scores in both cases.