cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5127682.v1
title: Supplementary Material for: Spectrocolourimetry Visualized Differences in Sexual Skin Colouration in Macaques

description: The females of some catarrhines develop conspicuous sexual skin transformations in their hind limbs. Among macaques (one of the radiated and adapted catarrhine groups with diversified sexual skin transformations), differences in sexual skin colouration between the Japanese macaque <i>Macaca fuscata</i> and the rhesus macaque <i>M. mulatta</i> have not been quantitatively analysed. In this study, the sexual skin colouration of these macaques was spectrocolourimetrically measured in the non-mating season (NMS) and the mating season (MS) and represented in a CIELAB space with the variables <i>L</i><i>*</i><i>, a</i><i>*</i> and <i>b</i><i>*</i><i>.</i> The variables <i>L</i><i>*</i><i>, a</i><i>*</i> and <i>b</i><i>*</i> represent positions on the light-dark, red/magenta-green, and yellow-blue axes, respectively. In the Japanese macaques the average ± SD of <i>L</i><i>*</i><i>, a</i><i>*</i> and <i>b</i><i>*</i> was 53.61 ± 3.31, 11.51 ± 4.57 and 6.66 ± 2.25 in the NMS and 46.60 ± 2.78, 19.97 ± 2.99 and 8.80 ± 1.34 in the MS, respectively, while in the rhesus macaques the average ± SD of <i>L</i><i>*</i><i>, a</i><i>*</i> and <i>b</i><i>*</i> was 60.09 ± 3.96, 5.99 ± 4.59 and 5.83 ± 2.37 in the NMS and 52.70 ± 6.54, 13.62 ± 6.86 and 8.07 ± 1.43 in the MS, respectively. The sexual skin of the Japanese macaques was consistently much redder (larger <i>a</i><i>*</i>) and darker (smaller <i>L</i><i>*</i>) than that of the rhesus macaques. The smaller <i>L</i><i>*</i> suggested a greater dermal melanin content in the Japanese macaques. These closely related macaque species have similar but distinct sexual skin colourations. Spectrocolourimetry is thus useful to suggest the histophysiological background of the colouration.
DOI: 10.17632/xh9fhzhhhw
title: Python Scripts for Advancing Aerogel Research for Energy Storage: Bibliometric Trends and Predictive Insights from Machine Learning and Deep Learning

description: Aerogel, a unique class of nanoporous materials, has gained significant attention from researchers in energy storage owing to its unique properties, e.g., high surface area and porosity, lightweight and low density, thermal insulation, and electrical conductivity. Aerogels are used as electrode materials in supercapacitors, lithium ion batteries (LIB), and also employed in thermal energy storage. In this study, a bibliometric assessment based on the Scopus database was carried out on the topic: “aerogel in energy storage”. The progress of aerogel applications in energy storage is systematically analyzed based on articles, authors, journals, countries, institutions and cited references. Burst keywords have been analyzed to get insights about the research trend. Machine learning and deep learning analyses have been carried out to identify homogeneity in the database and to predict future research trends. This work presents an overview for the beginners to understand the research trend on the application of aerogel in energy storage systems all over the world and can be helpful in predicting the future development of aerogel in energy storage systems.
DOI: 10.6084/m9.figshare.12236960.v1
title: Arabic Handwritten Characters Dataset

description: Arabic Handwritten Characters DatasetAstractHandwritten Arabic character recognition systems face several challenges, including the unlimited variation in human handwriting and large public databases. In this work, we model a deep learning architecture that can be effectively apply to recognizing Arabic handwritten characters. A Convolutional Neural Network (CNN) is a special type of feed-forward multilayer trained in supervised mode. The CNN trained and tested our database that contain 16800 of handwritten Arabic characters. In this paper, the optimization methods implemented to increase the performance of CNN. Common machine learning methods usually apply a combination of feature extractor and trainable classifier. The use of CNN leads to significant improvements across different machine-learning classification algorithms. Our proposed CNN is giving an average 5.1% misclassification error on testing data.ContextThe motivation of this study is to use cross knowledge learned from multiple works to enhancement the performance of Arabic handwritten character recognition. In recent years, Arabic handwritten characters recognition with different handwriting styles as well, making it important to find and work on a new and advanced solution for handwriting recognition. A deep learning systems needs a huge number of data (images) to be able to make a good decisions.ContentThe data-set is composed of 16,800 characters written by 60 participants, the age range is between 19 to 40 years, and 90% of participants are right-hand. Each participant wrote each character (from ’alef’ to ’yeh’) ten times on two forms as shown in Fig. 7(a) & 7(b). The forms were scanned at the resolution of 300 dpi. Each block is segmented automatically using Matlab 2016a to determining the coordinates for each block. The database is partitioned into two sets: a training set (13,440 characters to 480 images per class) and a test set (3,360 characters to 120 images per class). Writers of training set and test set are exclusive. Ordering of including writers to test set are randomized to make sure that writers of test set are not from a single institution (to ensure variability of the test set).In an experimental section we showed that the results were promising with 94.9% classification accuracy rate on testing images. In future work, we plan to work on improving the performance of handwritten Arabic character recognition.AcknowledgementsAhmed El-Sawy, Mohamed Loey, Hazem EL-Bakry, Arabic Handwritten Characters Recognition using Convolutional Neural Network, WSEAS, 2017<br>Our proposed CNN is giving an average 5.1% misclassification error on testing data.InspirationCreating the proposed database presents more challenges because it deals with many issues such as style of writing, thickness, dots number and position. Some characters have different shapes while written in the same position. For example the teh character has different shapes in isolated position.Benha Universityhttp://bu.edu.eg/staff/mloeyhttps://mloey.github.io/
DOI: 10.6084/m9.figshare.1291192.v1
title: Ethenoadenine Precursor 7,8-dihydro-7-hydroxy-imidazo[2,1-i]purine TS

description: The reaction of chloroacetaldehyde with adenine to form ethenoadenine has been modelled: this is a transition state structure at the 6-31G(d) level of theory using the wB97X-D functional. When chloroacetaldehyde reacts with adenine to form ethenoadenine the reaction can proceed by one of two routes dependent upon the orientation of the chloroacetaldehyde molecule with the adenine molecule. This model is based upon an orientation which would form the intermediate 7,8-dihydro-7-hydroxy-imidazo[2,1-i]purine.
DOI: 10.6084/m9.figshare.28939709.v1
title: Marine litter _beaches Itamaracá 2022.xlsx

description: Transect - transect idMonthDate - sample collection dateArea_m2 - size of the collection areaBeachseaweed_wrack - presence (1) or absence (0)mangroove_wrack - presence (1) or absence (0)weight_kgUrbanization
DOI: 10.17632/442mhsrpcm
title: Spatially resolved transcriptomic profiling of degraded and challenging fresh frozen samples: Supplementary Data 2

description: Supplementary data for the study "Spatially resolved transcriptomic profiling of degraded and challenging fresh frozen samples" by Reza Mirzazadeh, Zaneta Andrusivova and Ludvig Larsson et al. 

Available data:
1. High resolution H&E images are available in the images/ folder for small intestine.
DOI: 10.17632/gptdzh7kvm
title: A virtual classroom map-based immersive VR learning

description: SPSS data: A virtual classroom map-based immersive VR for EFL learning
DOI: 10.17632/kn4k4g7dnw
title: Datasets of Common Continuous Distributions

description: This dataset contains 26 sub-datasets of common distribution, including Beta, Exponential, Log-Normal, Normal, Triangular, Uniform, bi-modal. The size of datasets varying from 1000 points to 1 million points. The distributions are generated with various parameter settings.
DOI: 10.17632/v3brsrm2f7
title: Dragon Fruit Stem Disease: An Annotated High-Resolution Image Dataset for Classification and Segmentation

description: The Dragon Fruit Stem Disease dataset is a collection of high-quality images of dragon fruit stems that are healthy and infected. The images were captured at Sierra Agro orchard in Ramgarh, Khagrachari, Bangladesh (geographical location: 22.98123°N, 91.76185°E) during October 10 to October 12, 2024. The dataset consists of a total of 724 images, which are categorically separated into six classes: Anthracnose, Brown Stem Spot, Gray Blight, Soft Rot, Stem Canker, and Healthy. Photographs were taken using the high-resolution camera of a OnePlus 7T in natural light, with ambient temperatures ranging from 23°C to 25°C. The original images, which were recorded in JPG format at 3000x4000 pixels, have been reduced to 640x480 pixels at 72 dpi for better practicality. The dataset is also provided with meticulous annotations that provide far-reaching categorizations of the diseases seen and allow semantic segmentation analyses. This resource is intended to aid research and development in image segmentation and plant disease detection techniques.
DOI: 10.17632/y7cjtw9d6y
title: Western-blotting gels

description: Western-blotting gels
DOI: 10.6084/m9.figshare.12440288.v1
title: deepFlashWeights.h5

description: Yep, these are weights.
DOI: 10.6084/m9.figshare.25488505.v3
title: Raw eddy covariance data and summary of 15 coastal wetland site in China

description: Raw eddy covariance data and summary of 15 coastal wetland site in China. The summary data was the annual carbon flux and climate parameter comparison for natural, disturbed, and restored coastal wetland sites used by Lu et al., 2024 published in Global Change Biology.
DOI: 10.6084/m9.figshare.26340535.v1
title: Supplementary Material for: Analysis of Neuropeptides in the Intestinal Mucus of Patients with Ulcerative Colitis Using RNA Sequencing

description: Introduction
Inflammation in ulcerative colitis (UC) originates in the colorectal mucosa. Transcriptome sequencing analysis of the colorectal mucosa allows the identification of potential neuropeptides related to local neurotransmission. The intestinal mucus lining the surface of the mucosa may harbor biomarkers of mucosal inflammation; however, this has not been sufficiently investigated, given the difficulty in obtaining human samples. We previously reported the feasibility of obtaining mucin samples for proteomic analysis by brushing during colonoscopy. Herein, we aimed to investigate the composition of the intestinal mucus and detect neuropeptides characteristic of UC.

Methods
Mucus and mucosal samples were collected from patients with UC from the colorectum in areas showing remission or active UC using a brush catheter and biopsy forceps during colonoscopy. RNA sequencing findings of mucus samples of active and remission areas were compared. RNA and protein expression levels of significantly upregulated neuropeptides were analyzed.

Results
Of the neuropeptides associated with UC, somatostatin (SST) was significantly elevated in areas of remission, according to RNA sequencing results of mucus and expression levels in mucus RNA and proteins. Conversely, SST expression in the mucosa was increased in the inflamed areas. Flow cytometry revealed that the fluorescence intensity of SST-positive cells in the remission zone was higher in the mucus than in the mucosa.

Conclusion
SST expression in the mucus is considered to be an important factor associated with UC activity.
DOI: 10.6084/m9.figshare.29113919.v1
title: Reports on mRNA Covid-19 Vaccine side effects

description: Reports on mRNA Covid-19 Vaccine side effects downloaded from the official websites of the Republic of Poland and National Sanitary Inspectorate in January-February 2021
DOI: 10.17632/g47s3sv2hm
title: Economic evaluation in decision models

description: Decision models presented in Supply Chain (SC) and Operations Management articles are often based on an economic criterion to find the best possible solution. Thus, the solution's relevance depends on the significance of the cost information used. This paper aims to provide a set of methodological precautions for economic evaluation in decision models. It reviews 12 selected illustrative decision models to highlight the extent to which the authors justify and make explicit their economic functions. The paper explains that when cost information is not appropriate for the decisions under consideration, the solution provided by the model may be irrelevant. It highlights three methodological issues related to the causality of costs, their traceability and the consideration of opportunity costs. We conclude with methodological propositions for improving the relevance of economic evaluation in decision models.
DOI: 10.6084/m9.figshare.28512287.v3
title: <b>ICAM</b><b>-1 is a cellular rece</b><b>ptor for encephalomyocarditis virus</b>

description: This study identifies intercellular adhesion molecule 1 (ICAM-1) and ICAM-4 as critical receptors for encephalomyocarditis virus (EMCV), elucidating the molecular basis of its broad host tropism and pathogenicity. By analyzing viral entry mechanisms across diverse cell lines and animal models, the research reveals that ICAM-1 directly interacts with EMCV capsid proteins VP1 and VP2 through its amino-terminal D1 domain, mediating viral attachment and internalization. Notably, ICAM-1's LFA-1-binding region facilitates this interaction, while structural mutations in VP1 and VP2 disrupt receptor binding, underscoring the specificity of this recognition. In the absence of ICAM-1, the study demonstrates a compensatory role for ICAM-4, which upregulates in knockout cells and similarly binds VP1/VP2 to sustain viral infection. This redundancy in receptor usage explains EMCV's ability to infect multiple species and tissues, including non-susceptible insect cells when ICAM-1 is artificially expressed. The findings also highlight the importance of the ICAM family in viral pathogenesis, offering insights into potential therapeutic targets that block receptor-ligand interactions to combat EMCV and related viruses.
DOI: 10.6084/m9.figshare.6528305.v1
title: VoxEL

description: This dataset has manual annotations with respect to Wikipedia over the same text written in five languages: German (de), English (en), Spanish (es), French (fr) and Italian (it). The dataset is composed of 15 annotated news articles (in each of the 5 languages; 75 articles in total) where there is the same number of sentences in each language, as well as the same set of annotations for each corresponding sentence in the different languages. Each language has a total of 94 sentences across the 15 articles.<br>We propose two annotated versions of the dataset: a strict version that only annotates persons, organizations and places (per, for example, traditional NER/MUC definitions of an entity), and a relaxed version that includes a larger number of annotations (e.g., capturing entity mentions such as “inflation” that have a corresponding Wikipedia article). Both the relaxed and the strict versions have the same text in the same languages. The strict version has 204 annotations per language, while the relaxed version has 674 annotations per language.
DOI: 10.17632/ydbmr9v3g3
title: AIMSim: An accessible cheminformatics platform for similarity operations on chemicals datasets

description: The recent advances in deep learning, generative modeling, and statistical learning have ushered in a renewed interest in traditional cheminformatics tools and methods. Quantifying molecular similarity is essential in molecular generative modeling, exploratory molecular synthesis campaigns, and drug-discovery applications to assess how new molecules differ from existing ones. Most tools target advanced users and lack general implementations accessible to the larger community. In this work, we introduce Artificial Intelligence Molecular Similarity (AIMSim), an accessible cheminformatics platform for performing similarity operations on collections of molecules called molecular datasets. AIMSim provides a unified platform to perform similarity-based tasks on molecular datasets, such as diversity quantification, outlier and novelty analysis, clustering, dimensionality reduction, and inter-molecular comparisons. AIMSim implements all major binary similarity metrics and molecular fingerprints and is provided as a Python package that includes support for command-line use as well as a Graphical User Interface for code-free utilization with fully interactive plots.
DOI: 10.6084/m9.figshare.11573403.v3
title: CEAP-Stack gas concentrations, 2014-2017

description: This dataset provides plant-level information on absolute emissions, fuel uses, generating capacities, geographic locations, etc. <br>
DOI: 10.6084/m9.figshare.12383639.v1
title: hygrip.h5

description: Complete data-set, that comprises the task signal (a dynamically varying force signal that is displayed visually), co-located brain signals in form of electroencephalography (EEG) and near-infrared spectroscopy (NIRS) that captures a higher spatial resolution oxygenation cortical response, the muscle activity of the grip muscles, the force generated at the grip sensor, as well as confounding sources, such as breathing and eye movement activity during a motor task. In total, 14 right-handed subjects performed a uni-manual dynamic grip force task within 25-50% of each hand's maximum voluntary contraction.
DOI: 10.6084/m9.figshare.15105078.v1
title: Supplementary Material for: Major Depressive Disorder Enhances Th2 and Th17 Cytokines in Patients Suffering from Allergic Rhinitis and Asthma

description: <b><i>Introduction:</i></b> Major depressive disorder (MDD) can impact the severity of allergic rhinitis (AR) and asthma (AA). Here, we evaluated the cytokine production by T-cells from AR and AA patients with or without MDD. The effect of serotonin on the in vitro T-cell response was also evaluated. <b><i>Methods:</i></b> The cytokines produced by activated T-cells were measured by Luminex and flow cytometry. In some cell cultures, serotonin was added. <b><i>Results:</i></b> MDD not only enhanced the production of Th2- and Th17-related cytokines, but also, the levels of interleukin (IL)-5 and IL-17 were directly correlated with the severity of depression and anxiety symptoms. As compared with AR, the levels of IL-17 were higher and the release of IL-10 was lower in activated T-cell cultures from AA patients, mainly those with MDD. In AA/MDD patients, the severity of anxiety symptoms and lung disease was directly correlated with Th17-like and hybrid Th2/Th17 cells, but inversely correlated with IL-10-secreting CD4<sup>+</sup> T-cells. Finally, the addition of serotonin reduced the production of Th2- and Th17-related cytokines, but elevated IL-10 secretion in cell cultures from both AR and AA patients. <b><i>Conclusions:</i></b> Our findings suggest that not only the occurrence of MDD but also the severity of anxiety symptoms, may adversely affect the outcome of allergic reactions by favoring the production of cytokines implicated in the pathogenesis of AR and AA, a phenomenon that was attenuated by serotonin.
DOI: 10.6084/m9.figshare.20031017.v2
title: DU-ASL-DATA-GLOVE-DB

description: Hardware The primary hardware is a data glove consisting of three units, namely sensing, processing, and onboard power regulation unit. The sensing unit is comprised of five 2.2" flex sensors (SEN-10264) and an IMU (MPU-6050) which has a triaxial accelerometer and a triaxial gyroscope. Dataset <strong>Overview. </strong>We explored 40 signs from the standard ASL dictionary that including 26 letters and 14 words. Among these signs, 24 require only a certain finger flexion and no hand motion; hence, are addressed as static signs or gestures. Conversely, the remaining 16 signs need hand motion alongside the finger flexion to portray meaningful expression according to the ASL dictionary. Moreover, we collected the signs from 25 subjects (19 Male and 6 Female) in separate data recording sessions with a consistent protocol. Overall, three channels for acceleration in both body and earth axis, three for angular velocity, four for quaternion, and five for flex sensors were recorded in the dataset. The data was recorded by the data glove processing unit which was connected to a laptop for data storage via USB. The sampling frequency is set to 100 Hz and each gesture was repeated 10 times to record the performance variabilities of each subject. However, during a few sessions denoted in the dataset supplementary information, the laptop charger was connected which resulted in AC-induced noise all over those specific recorded data. <br> <strong>Data recording protocol.</strong> Before starting the recording process, each subject signed an approval form for the usage of their data in this research and was briefed about the data recording steps. As the subjects were not familiar with the signs before the study, they were taught each sign before the data recording via online video materials. The data was recorded by the data glove and stored on the laptop at the same time. Hence, a Python script was used on the laptop to make the handshake between the two devices and to store the data in separate folders as per the signs and the subjects. At the beginning of each data recording session, the subjects were prompted to declare their subject id and the gesture name. Afterward, a five-second countdown is prompted on the laptop screen for preparation. Each instance of the gesture data is recorded for a 1.5 seconds window and the subjects can easily perform their gesture once within that window. In a single gesture recording session, this process is repeated 10 times. <br>
DOI: 10.6084/m9.figshare.24263650.v1
title: Unraveling groundwater-stream connections at the continental scale

description: dataset of particle tracking over continental US
DOI: 10.6084/m9.figshare.6531311.v1
title: Appendix 4-figure 2: DNA and tRNA methyltransferase gene phylogeny

description: Levels and patterns of mCG in P. pyralis are corroborated by the presence of de novo and maintenance DNMTs (DNMT3 and DNMT1, respectively). Notably, P. pyralis possesses two copies of DNMT1, and 3 copies of DNMT3, in contrast to a single copy of DNMT1 and DNMT3 in the firefly Aquatica lateralis. The evolutionary history was inferred by using the Maximum Likelihood method with the LG (+G = 5)[187]. Evolutionary analyses were conducted in MEGA7 [188]. Size of circles at nodes corresponds to bootstrap support (100 bootstrap replicates). Branch lengths are in amino acid substitutions per site. T. castaneum= Tribolium castaneum, D. melanogaster= Drosophila melanogaster, N. vespilloides= Nicrophorus vespilloides.
DOI: 10.6084/m9.figshare.3550494.v1
title: Appendix A. Tables showing stream habitat characteristics and stream invertebrates and figures showing a stream site map, leaf litter chemistry, and microbial respiration and diversity for streams at Malcolm Knapp Research Forest, British Columbia, Canada.

description: Tables showing stream habitat characteristics and stream invertebrates and figures showing a stream site map, leaf litter chemistry, and microbial respiration and diversity for streams at Malcolm Knapp Research Forest, British Columbia, Canada.
DOI: 10.6084/m9.figshare.19902277.v2
title: García-Díaz et al. 2022 - Plasticity of mitochondrial function safeguards phosphorylating respiration during in vitro simulation of rest-phase hypothermia

description: Data for García-Díaz et al. 2022 - Plasticity of mitochondrial function safeguards phosphorylating respiration during <em>in vitro </em>simulation of rest-phase hypothermia