cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yp4nr74twj.1
title: BPLab/Vasotens Validation Study Inspection Dataset

description: Here is the raw data from the PWV-validation study of Vasotens [1]. This dataset contains the following: i) a set of files (bpw-files) representing the digitized oscillations in the cuff blood pressure (BP) of the BPLab device; ii) several versions of BPLab/Vasotens software released between 1999 and 2021 that process cuff BP oscillations and calculate the “parameters of hemodynamics” and “arterial stiffness” declared by the manufacturer; iii) The database containing SphygmoCor measurements that correspond to the bpw-files; iv) а couple of the BPLab website screenshots, in 2000 and 2021; v) curious illustrations of fabricated data. Personal data in all the records are replaced with the corresponding bpw-file name.
DOI: 10.17632/g7bstyfpp5.1
title: Supplementary Material for "Prevalence of Depression among Children, Adolescents, and Adults with Hidradenitis Suppurativa"

description: Supplementary material for the article titled "Prevalence of Depression among Children, Adolescents, and Adults with Hidradenitis Suppurativa" by Shari Wright, Andrew Strunk, and Amit Garg.
DOI: 10.17632/ypdrsvygxg.2
title: Luke Barlow - LSF Data

description: Laser-stimulated Fluorescence images of the fossils used in Barlow et al. 2020. The decapods fluoresce brightly due to autofluorescent compounds in their exoskeleton which allows for the whole animal to be seen. Ammonites possess a phosphatised siphuncle in some specimens allowing for it to picked out from the surrounding shell. Fish are mostly articulate and some specimens have fluorescing gut contents due to the concentration of phosphate in the stomach.
DOI: 10.17632/ypdrsvygxg.1
title: Luke Barlow - LSF Data

description: Laser-stimulated Fluorescence images of the fossils used in Barlow et al. 2020. The decapods fluoresce brightly due to autofluorescent compounds in their exoskeleton which allows for the whole animal to be seen. Ammonites possess a phosphatised siphuncle in some specimens allowing for it to picked out from the surrounding shell. Fish are mostly articulate and some specimens have fluorescing gut contents due to the concentration of phosphate in the stomach.
DOI: 10.17632/jzt538dx57.2
title: Supplementary data of pressure ulcers

description: Supplementary data of pressure ulcers
DOI: 10.17632/xstjp3xdkr.1
title: Mother empowerment and child education

description: Data was generated through a household survey conducted in 2019 in Karimganj district of Assam, one of the remotest districts of India bordering Bangladesh. The sample includes households where children were living with their mother. Four hundred and fifty of such households were selected purposively for the study out of which, 200 households were from urban areas and the rest 250 are from rural areas of the district. Purposive simple random sampling technique was followed for the selection of sample households from all parts of the district to make the sample a representative one. Final sample includes 432 households, 18 respondents were discarded due to inaccurate and missing details.
DOI: 10.17632/c3fry8x92k.1
title: Aesthetics perception of assistive technology products and user stigma

description: The main objective of this study was to determine the specifics of the aesthetic perception of assistive technology products and its relationship with user stigma. Questionnaires on aesthetics and the perceptions associated with the selected stimuli (3 hearing aid models, 3 upper limb orthosis models, and 3 wheelchair models) were developed based on previous methodologies. The analysis of the data was carried out through statistical tests that allowed to verify the behavior of the aesthetic principles in Assistive Technologies, as well as the relations with the Aesthetic Pleasure. To analyze the data, multiple-item variables were calculated based on their means. After the data were tabulated, the scales were tested for reliability and normality with Cronbach's alpha and the Kolmogorov-Smirnov test, respectively. Friedman's ANOVA was used to verify Hypothesis 1: the aesthetic experience (aesthetic pleasure) differs depending on the stimulus (assistive technology product). Multiple linear regression was applied to verify Hypothesis 2: the principles of aesthetics (the Unified Model of Aesthetics) perceived in assistive technologies mediate aesthetic pleasure. Likewise, Friedman's ANOVA was used to verify Hypotheses 3 and 4, which are related to the measurement of stigma: (3) the stereotypes attributed to the user (stigma) differ depending on the stimulus (assistive technology product); (4) the emotions felt about the user differ depending on the stimulus (assistive technology product). Regarding the relationship between aesthetics and stigma, multiple linear regression was used to identify the instruments’ predictive capacity for stigma, which was determined through stereotypes of competence and warmth, and for emotions, which was determined through the aesthetics variables (model predictors). The positive relation between the principles of Unity and Autonomy with aesthetic pleasure stands out, on the other hand, the Variety principle has a negative relationship with it, and Typicality adds a low value to aesthetic pleasure. Likewise, the stereotypes and emotions derived from Assistive Technologies assessed by Non-users were identified. Significant differences can be highlighted between the Competence stereotypes about the individual according to the product being used, for each category. For the Wheelchair, there is also significance for the judgment of Cordiality and the emotions of Compassion and Admiration. Still, through correlational analysis, it was possible to identify the associations between the measurement of aesthetics and stigma related to Assistive Technologies. It was identified that the increase in aesthetic pleasure is related to the reduction of stigma on the part of Non-users.
DOI: 10.17632/72bctjn5tr.6
title: Camp Chain for Inverse Problems of Structures

description: The database contains Matlab and R code for the CC inversion method used in the paper. Please contact me with any issue when reproducing the CC with your very specific project.
DOI: 10.17632/nvrpk43zsm.1
title: Automatic Soil Crack Recognition Under Uneven Illumination Condition with The Application of Artificial Intelligence

description: Automatic Soil Crack Recognition Under Uneven Illumination Condition with The Application of Artificial Intelligence
DOI: 10.17632/j96htj7rtk.1
title: Effect of gastric bypass surgery on the oxidative stress status in morbidly obese patients

description: in the present study, the effect of gastric bypass surgery on the oxidative and antioxidant status of morbidly obese people was investigated.
DOI: 10.17632/jmnpdjjnxn.1
title: Thumb sucking among kindergarten children

description: Thumb-sucking is a repetitive behavior that causes disturbance of the face and finger aesthetics, and has social consequences. The aim of this study was to determine the prevalence and the risk factors of thumb-sucking in kindergarten children in Palembang. A cross sectional study was conducted in 203 children aged between 3.5 and 5 years. Data obtained by filling out a questionnaire to determine the characteristics of children and parents on thumb-sucking behavior. This study showed 11.8% children with thumb-sucking. Number of siblings (p=0.004; OR=3.868; 95% CI=1.568-9.547), birth order (p=0.028; OR=3.360; 95% CI=1.202-9.392), and watching habits (p=0.01) are the risk factors of thumb sucking. The logistic regression analysis showed that number of siblings (p =0.041) was the most influential risk factor for thumb sucking. Prevalence of thumb sucking was similiar in other Asian countries. The risk factor of thumb-sucking is number of siblings, birth order and watching habits. Keywords: thumb sucking, kindergarten children, repetitive behavior
DOI: 10.17632/67r72zcfxx.1
title: Genome-wide convergent analyses and transgenic evidence reveal a single origin of laryngeal echolocation in bats

description: 11145 one-to-one orthologous genes using in the exploration of the origin of bats' echolocation. We hypothesized that if the echolocation of bats originated in the ancestor of all bats, more convergent sites in hearing-related genes will be observed between dolphin and the ancestral lineage of all bats.
DOI: 10.17632/28rzpwfp7m.2
title: APIs

description: This dataset is the list of APIs 2021.
DOI: 10.17632/sbx4gwdz4k.1
title: LINF_130015500

description: Dpy-30 motif containing protein Leishmania infantum
DOI: 10.17632/kbm5js75hs.1
title: LINF_130015300

description: subtilisin-like serine peptidase Leishmania infantum
DOI: 10.17632/dwhvf5chhg.1
title: LINF_130015200

description: protein of unknown function - conserved Leishmania infantum
DOI: 10.17632/v6fw788sgg.1
title: LINF_130014900

description: protein of unknown function - conserved Leishmania infantum
DOI: 10.17632/vj4fcb7ssn.1
title: Feng, J., T. Lian, D. Chen, and Y. Li. The cause of the large cold bias in the northwestern Pacific Ocean. Submitted to Geophysical Research Letters.

description: This repository contains processed data for the manuscript entitled "The cause of the large cold bias in the northwestern Pacific Ocean", including a series of model experiments.
DOI: 10.17632/yk48hvkwyv.1
title: Data Repository SDGs Disclosure in Indonesia

description: This file contains the research data needed for the SDG in Indonesia paper
DOI: 10.17632/7d5zyvg728.1
title: LINF_130014700

description: AMP deaminase Leishmania infantum
DOI: 10.17632/wwbcj5vzpg.1
title: A retrospective analysis of efficacy of single visit root canal treatment during COVID-19 Pandemic in a tertiary care hospital.

description: The aerosol-generating procedures like root canal treatment (RCT) need to be addressed very cautiously in the COVID-19 pandemic. The aim of the study was to analyze the efficacy of single visit RCTs carried out with an institutional defined protocol in a tertiary care hospital during the COVID-19 Pandemic. Methods and Material: RCT was done in the patients without RT-PCR negative report considering all standard operating procedures and the patients were advised for post endodontic prosthetic rehabilitation of root canal treated tooth. The patients were followed up after six months and the patient satisfaction, tooth functionality, and any pain/discomfort were evaluated through telemedicine.
DOI: 10.17632/9wtzmtbfm6.1
title: Active Learning Motivation of Primary School Pupils in Malaysia

description: Active learning is an essence to create and enhance learning in 21st century education. Meanwhile, successful implementation of active learning relies heavily on learners’ motivation. This study was designed to explore the active learning experience of Malaysia primary school pupils regarding their learning motivation, with a focus on understanding the current situation of active learning implementation in Malaysia primary school education system and pupils’ overall active learning performance. Motivational factors of pupils’ active learning are found within the context. This is the raw data generated from semi-structured interview. The target population were Year 3 (9 years old) Malaysia primary school pupils. 14 pupils with significant active learning experience were purposefully recruited. The pupils were selected from a same school because the primary school undergoes NGO and government education transformation programmes. The Year 3 pupils in that school are the targets of active learning training program (MCII/MYReaders Remedial Reading Programme), which represent a community that might provide rich information to this work. All interviews were undertaken within May 2020 to July 2020. The interviews were audio-visual recorded and transcribed verbatim. The project has obtained formal approval from the Educational Planning and Research Division (EPDR), Ministry of Education in Malaysia (MOE), and the State Education Department. It is registered under Educational Research Application System (eRAS 2.0) with approval from Head of Curriculum and Instructional Technology Department, University of Malaya. Consent for audio recording, transcription, and data reporting was undertaken. Since the participants recruited are below 18 years old, the signature of parent(s) or legal guardian is required. The data has been thematic analysed. However, the data is opened for other form of analysis, especially in the field of active learning and child development and learning. Curriculum developers, instructional designers, and practitioners will benefit from the data as well.
DOI: 10.6084/m9.figshare.13199924
title: Supplemental Tables

description: Supplementary Tables
DOI: 10.6084/m9.figshare.13199924.v2
title: Supplemental Tables

description: Supplementary Tables
DOI: 10.6084/m9.figshare.13199924.v1
title: Supplemental Tables

description: Supplementary Tables
DOI: 10.5281/zenodo.4904638
title: MusicOSet: An Enhanced Open Dataset for Music Data Mining

description: <strong>MusicOSet </strong>is an open and enhanced dataset of musical elements (artists, songs and albums) based on musical popularity classification. Provides a directly accessible collection of data suitable for numerous tasks in music data mining (e.g., data visualization, classification, clustering, similarity search, MIR, HSS and so forth). To create MusicOSet, the potential information sources were divided into three main categories: music popularity sources, metadata sources, and acoustic and lyrical features sources. Data from all three categories were initially collected between January and May 2019. Nevertheless, the update and enhancement of the data happened in June 2019. The attractive features of <strong>MusicOSet</strong> include: Integration and centralization of different musical data sources Calculation of popularity scores and classification of hits and non-hits musical elements, varying from 1962 to 2018 Enriched metadata for music, artists, and albums from the US popular music industry Availability of acoustic and lyrical resources Unrestricted access in two formats: SQL database and compressed .csv files <pre><code class="language-markdown">| Data | # Records | |:-----------------:|:---------:| | Songs | 20,405 | | Artists | 11,518 | | Albums | 26,522 | | Lyrics | 19,664 | | Acoustic Features | 20,405 | | Genres | 1,561 |</code></pre>
description: {"references": ["Silva, M. O., Rocha, L. M., and Moro, M. M. (2019). MusicOSet: An Enhanced Open Dataset for Music Data Mining. In XXXIV Simp\u00f3sio Brasileiro de Banco de Dados: Dataset Showcase Workshop, SBBD 2019 Companion, Fortaleza, CE, Brazil."]}
DOI: 10.5281/zenodo.4904676
title: Comusic: Good things come to those who collaborate

description: Comusic is an ongoing project that seeks to study the impact of collaboration networks' topological features on musical success. To that end, we analyze and identify such characterizations in a musical success-based network; that is, a network composed only of successful artists. Our findings offer a new perspective on success in the music industry, unraveling how collaboration profiles can contribute to an artist's popularity. <strong>Our Methodology</strong> Initially, using data from Billboard and the Spotify platform, we model a "successful" collaborative network and apply tools of network science to study its structure. By means of topological metrics, we defined four categories of collaboration profiles and, applying a clustering algorithm, we identified three communities with different collaboration patterns and notable discrepancies in musical success levels. Then, we conduct a statistical correlation analysis to evaluate the correlation between collaboration profiles and the artist's success. <strong>Our Findings</strong> By detecting cluster and their respective patterns of network collaboration, we focus on analyzing the impact of these profiles on successful musical artists. Considering topological metrics, we define four main categories of collaboration profiles: Interaction, Distance, Influence and Similarity. Among them, we find that the first three affect musical success more intensely than Similarity. <strong>Our Contributions</strong> Our findings provide evidence that: there are indeed <em>distinct success factors</em> for music collaboration profiles that are socially measurable, and there exist <em>common factors</em> to successful collaboration in the music market. Furthermore, our exploratory approach based on collaborative networks can easily be extended to other areas of knowledge (e.g., arts and science). <strong>Files</strong> <strong>Successfull Network</strong>: The successful musical collaboration network. (8,88 MB) <strong>Billboard Charts</strong>: Some Billboard Charts data. (3,04 MB) <strong>Ego Networks</strong>: All the 30 ego networks. (38 KB) <strong>Time Series</strong>: All the time series. (807 KB)
description: {"references": ["Silva, M. O., Rocha, L. M., & Moro, M. M. (2019, April). Collaboration profiles and their impact on musical success. In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (pp. 2070-2077)."]}
DOI: 10.5281/zenodo.4904675
title: Comusic: Good things come to those who collaborate

description: Comusic is an ongoing project that seeks to study the impact of collaboration networks' topological features on musical success. To that end, we analyze and identify such characterizations in a musical success-based network; that is, a network composed only of successful artists. Our findings offer a new perspective on success in the music industry, unraveling how collaboration profiles can contribute to an artist's popularity. <strong>Our Methodology</strong> Initially, using data from Billboard and the Spotify platform, we model a "successful" collaborative network and apply tools of network science to study its structure. By means of topological metrics, we defined four categories of collaboration profiles and, applying a clustering algorithm, we identified three communities with different collaboration patterns and notable discrepancies in musical success levels. Then, we conduct a statistical correlation analysis to evaluate the correlation between collaboration profiles and the artist's success. <strong>Our Findings</strong> By detecting cluster and their respective patterns of network collaboration, we focus on analyzing the impact of these profiles on successful musical artists. Considering topological metrics, we define four main categories of collaboration profiles: Interaction, Distance, Influence and Similarity. Among them, we find that the first three affect musical success more intensely than Similarity. <strong>Our Contributions</strong> Our findings provide evidence that: there are indeed <em>distinct success factors</em> for music collaboration profiles that are socially measurable, and there exist <em>common factors</em> to successful collaboration in the music market. Furthermore, our exploratory approach based on collaborative networks can easily be extended to other areas of knowledge (e.g., arts and science). <strong>Files</strong> <strong>Successfull Network</strong>: The successful musical collaboration network. (8,88 MB) <strong>Billboard Charts</strong>: Some Billboard Charts data. (3,04 MB) <strong>Ego Networks</strong>: All the 30 ego networks. (38 KB) <strong>Time Series</strong>: All the time series. (807 KB)
description: {"references": ["Silva, M. O., Rocha, L. M., & Moro, M. M. (2019, April). Collaboration profiles and their impact on musical success. In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (pp. 2070-2077)."]}
DOI: 10.25345/c5jv7r
title: MassIVE MSV000087579 - Global Proteome Profiling for U2OS Cells upon Treatment with Four Different Indolo[2,3-alpha]quinolizine Derivatives
title: These data and results are supplementary material for the manuscript 'Combined morphological and proteome profiling reveals target-independent impairment of cholesterol homeostasis'.
DOI: 10.5281/zenodo.4361484
title: Reducing end thiol-modified nanocellulose: Bottom-up enzymatic synthesis and use for templated assembly of silver nanoparticles into biocidal composite material

description: We provide here the underlying data of the publication "Reducing end thiol-modified nanocellulose: Bottom-up enzymatic synthesis and use for templated assembly of silver nanoparticles into biocidal composite material". Please find the abstract below. Nanoparticle-polymer composites are important functional materials but structural control of their assembly is challenging. Owing to its crystalline internal structure and tunable nanoscale morphology, cellulose is promising polymer scaffold for templating such composite materials. Here, we show bottom-up synthesis of reducing end thiol-modified cellulose chains by iterative bi-enzymatic β-1,4-glycosylation of 1-thio-β-D-glucose (10 mM), to a degree of polymerization of ∼8 and in a yield of ∼41% on the donor substrate (α-D-glucose 1-phosphate, 100 mM). Synthetic cellulose oligomers self-assemble into highly ordered crystalline (cellulose allomorph II) material showing long (micrometers) and thin nanosheet-like morphologies, with thickness of 5–7 nm. Silver nanoparticles were attached selectively and well dispersed on the surface of the thiol-modified cellulose, in excellent yield (≥ 95%) and high loading efficiency (∼2.2 g silver/g thiol-cellulose). Examined against <em>Escherichia coli</em> and <em>Staphylococcus aureus</em>, surface-patterned nanoparticles show excellent biocidal activity. Bottom-up approach by chemical design to a functional cellulose nanocomposite is presented. Synthetic thiol-containing nanocellulose can expand the scope of top-down produced cellulose materials.
DOI: 10.5281/zenodo.4361483
title: Reducing end thiol-modified nanocellulose: Bottom-up enzymatic synthesis and use for templated assembly of silver nanoparticles into biocidal composite material

description: We provide here the underlying data of the publication "Reducing end thiol-modified nanocellulose: Bottom-up enzymatic synthesis and use for templated assembly of silver nanoparticles into biocidal composite material". Please find the abstract below. Nanoparticle-polymer composites are important functional materials but structural control of their assembly is challenging. Owing to its crystalline internal structure and tunable nanoscale morphology, cellulose is promising polymer scaffold for templating such composite materials. Here, we show bottom-up synthesis of reducing end thiol-modified cellulose chains by iterative bi-enzymatic β-1,4-glycosylation of 1-thio-β-D-glucose (10 mM), to a degree of polymerization of ∼8 and in a yield of ∼41% on the donor substrate (α-D-glucose 1-phosphate, 100 mM). Synthetic cellulose oligomers self-assemble into highly ordered crystalline (cellulose allomorph II) material showing long (micrometers) and thin nanosheet-like morphologies, with thickness of 5–7 nm. Silver nanoparticles were attached selectively and well dispersed on the surface of the thiol-modified cellulose, in excellent yield (≥ 95%) and high loading efficiency (∼2.2 g silver/g thiol-cellulose). Examined against <em>Escherichia coli</em> and <em>Staphylococcus aureus</em>, surface-patterned nanoparticles show excellent biocidal activity. Bottom-up approach by chemical design to a functional cellulose nanocomposite is presented. Synthetic thiol-containing nanocellulose can expand the scope of top-down produced cellulose materials.
DOI: 10.18112/openneuro.ds003590.v1.0.1
title: Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas