cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5jf742xzm4
title: PDEBellII: A Maple package for finding bilinear forms, bilinear Bäcklund transformations, Lax pairs and conservation laws of the KdV-type equations

description: Abstract Based on the Bell polynomials scheme, this paper presents a Maple computer algebra program PDEBellII which can automatically construct the bilinear forms, bilinear Bäcklund transformations, Lax pairs and conservation laws of the KdV-type soliton equations. Some examples are given to verify the validity of our program. Title of program: PDEBellII Catalogue Id: AEQP_v1_0 Nature of problem Determination of integrability of the nonlinear evolution equations, including bilinear forms, bilinear Bäcklund transformations, Lax pairs and conservation laws. Versions of this program held in the CPC repository in Mendeley Data AEQP_v1_0; PDEBellII; 10.1016/j.cpc.2013.09.005 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.20711686.v1
title: RawData_LaPerouse2019.zip

description: <strong>Abstract: </strong> Mesophotic marine ecosystems are characterized by lower light penetration supporting specialized fish fauna. Due to their depths (-30 to -150 m), accessibility is challenging, and the structure of mesophotic fish assemblages is generally less known than either shallow reefs or deep zones with soft bottoms which are generally trawled. Environmental DNA metabarcoding from seawater filtered <em>in situ</em> could improve our ability to monitor the diversity of mesophotic ecosystems. Here, we developed and tested a submersible standalone pumping device allowing targeted marine water filtering to explore the biodiversity of two mesophotic ecosystems, one temperate along the Provence coast in the North-Western Mediterranean Sea and one tropical at the seamount La Pérouse in the Western Indian Ocean. We filtered water samples from depths ranging between 0 and 200 m in the Mediterranean Sea and between 60 and 140 m in the Indian Ocean and applied a metabarcoding protocol using the teleo primer pair targeting the 12S mitochondrial rDNA (Actinopterygii and Chondrichthyes). For both study regions, our eDNA survey was able to recover highly diverse fish assemblages and the compositional analysis of eDNA samples showed both a marked signal of fish compositional turnover and overlapping taxa between depth zones. Further, we observed that a substantial number of species were found in samples collected in depths beyond their reported depth range suggesting an underestimation of species’ depth tolerances. eDNA metabarcoding should thus complement existing knowledge of species' geographic distributions across space and depth. Overall, our results demonstrate the potential of eDNA metabarcoding for future mesophotic surveys as it allows fast and broad biodiversity assessment. <br> <strong>Data set:</strong> These data sets include the raw data of La Pérouse of the Environmental DNA article "Environmental DNA highlights fish biodiversity in mesophotic ecosystems".
DOI: 10.6084/m9.figshare.29061755.v1
title: Data file for RaSIL framework study

description: The Rapid Social Immersive Learning (RaSIL) framework is an innovative pedagogical intervention aimed at rapidly fostering critical competencies in social work students with no prior formal social work training. The RaSIL framework integrates experiential learning through intensive 12-hour immersive fieldwork, enabling students to engage directly with marginalised communities and confront real-world social challenges. Grounded in Kolb's theory of experiential learning, the framework emphasises the development of compassion, social intelligence, and professional readiness in a compressed time frame. The study employed a single-arm pre-post design to assess the impact of the RaSIL framework on 37 first-year Master of Social Work (MSW) students in India. Social intelligence and compassion were measured using the Tromso Social Intelligence Scale (TSIS) and Compassion Scale (CS) before and after the intervention. Results demonstrated significant improvements in social intelligence and compassion scores, with multiple regression analyses highlighting key socio-demographic factors influencing these outcomes. The findings suggest that the RaSIL Framework can effectively cultivate essential competencies in social work students, contributing to their professional development within a constrained educational timeframe. This study offers valuable insights for educators and policymak
DOI: 10.17632/9yvrzxktmr
title: MASAQ: Morphologically-Analyzed and Syntactically-Annotated Quran Dataset

description: The Morphologically-Analyzed and Syntactically-Annotated Quran (MASAQ) dataset is a high-quality, annotated resource designed to advance Arabic Natural Language Processing (NLP). Covering the entire Quran, MASAQ includes over 131K morphological and 123K syntactic entries, verified by expert linguists using traditional i'rab methodologies. Available in multiple formats, it supports a range of applications—from teaching Arabic grammar to enhancing NLP tools like parsers and taggers. By enabling precise language analysis, MASAQ fosters advancements in Arabic NLP and cross-linguistic research, licensed under Creative Commons for ethical use.
DOI: 10.17632/f4845hrg2p
title: Construction of Database-based Innovation and Entrepreneurship Talent Ability Profiling System

description: Based on the Web of Science database, the bibliometric method was used to systematically analyze the research field of "innovation and entrepreneurship talent ability portrait". VOSviewer software was used to visualize the relevant literature from 2016 to 2025, and the author cooperation network, keyword co-occurrence network, and literature co-citation network were constructed. It was found that the research in this field presents obvious interdisciplinary characteristics, mainly focusing on three major theoretical frameworks: human capital theory, dynamic capability theory, and social capital theory. The core research themes include the identification of competency characteristics of innovative and entrepreneurial talents, the role mechanism of competency and performance, and the influence of environmental factors on the growth of talents. The authors' collaborative network analysis reveals that European and American scholars dominate, forming several regional research clusters, but the cross-regional cooperation is relatively weak. Keyword analysis reveals the importance of core concepts such as "human capital", "innovation capability" and "entrepreneurial orientation", and the key role of performance indicators such as "firm performance" and "growth". This study proposes a three-dimensional analysis framework of "individual traits-organizational environment-innovation performance" by integrating the results of literature measurement and content analysis, which provides a theoretical basis and methodological reference for subsequent studies.
DOI: 10.17632/nv5msvp65g
title: Research Data Management and Sharing survey

description: Survey of 1029 researchers about the management, sharing and re-use of research data. Data collected in Autumn 2018. This is a repeat of a survey completed in Summer 2016. This survey was initiated by the European Commission and forms part of a global study being conducted under the ‘Open Science Monitor’. The study is being carried out by Elsevier, together with the Lisbon Council think-tank, ESADE business school and the Centre for Science and Technology Studies of the University of Leiden (CWTS). The sample source was researchers that had published in a journal indexed in Scopus between 2014 and 2017. Data is in SPSS format. Questionnaire is in MS Word.
DOI: 10.6084/m9.figshare.24199119.v1
title: Data of Load Torque Observation and Compensation for Permanent Magnet Synchronous Motor Based on Sliding Mode Observer

description: Data of Load Torque Observation and Compensation for Permanent Magnet Synchronous Motor Based on Sliding Mode Observer.
DOI: 10.17632/492nxb2yk3
title: Data sets for Manuscript: Water Energy Food Nexus Model: An integrated Aqua-Agriculture System to Produce Tilapia and Sweet Basil Using Desalinated Water

description: This data was generated and documented in an integrated systems experiment using a pilot study. The integration included a solar powered desalination unit, aquaculture unit and crop production unit.
DOI: 10.17632/4h4p45fsgr
title: The creative economy, the solidarity economy and popular economy; a study of the panorama in Medellín

description: The present study tries to understand the influence of the Creative Economy in the total economy, its potential, challenges and possibilities taking into account the heterogeneity of its sectors and prospects for organizations at the micro level of Popular and Social Economy, as well as for the organizations of the Solidarity Economy and we will delve into a case study of La Pascasia, chosen among other methodological reasons for showing more activity in search of economic sustainability.
DOI: 10.17632/h266hfkpfj
title: An Integrating PLS-SEM and DEMATEL Based Grey Theory Model to Investigate Individuals’ Vaccination Intention Against COVID-19

description: The main objective of this study is to comprehensively investigate individuals’ vaccination intention against COVID-19 during the second wave of COVID-19 spread in Vietnam using a two-stages approach. 
- Decision-Making Trial and Evaluation Laboratory based on Grey Theory (DEMATEL-G) was employed to explore the critical factors of vaccination intention among individuals. 
- Partial Least Squares- Structural Equation Modeling (PLS-SEM) was applied to test the hypotheses of individual behavioral intention to get the vaccine to prevent the outbreak of COVID-19 via Smart-PLS 3.3.3 software.
- A panel data of 661 valid respondents was collected from June 2021 to July 2021 and confidentiality was maintained for all data obtained.
DOI: 10.6084/m9.figshare.12185031.v6
title: Supplementary Datasets for Adler et al., "The genetic basis of phage susceptibility, cross-resistance and host-range in Salmonella". Microbiology, 2021.

description: Complete Supplementary Datasets for Adler et al., "The genetic basis of phage susceptibility, cross-resistance and host-range in Salmonella". Microbiology, 2021.
DOI: 10.6084/m9.figshare.12656414.v1
title: JVASP-37727 to JVASP-38433

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.6854522.v1
title: Tortietal2018: Complete Data Table of the Indri Songs

description: Torti et al. The sound of silence. Can we reliably estimate the number of callers in a chorus? PlosONE.<br>Table reports the file name, group ID, real number of singers, unsupervised estimate of the number of singers, group size, song duration, Acoustic Diversity Index, Acoustic Complexity Index, Acoustic Entropy Index, and Acoustic Richness Index.
DOI: 10.17632/7cn7yn6rv9
title: Data for: Dark offshoot: phylogenomic data sheds light on the evolutionary history of a new species of cave brittle star

description: Phased allele data for 100 exons, XML, trees, and log files from both discovery (STACEY) and validation (BFD using *BEAST) species delimitation methods, phylogenetic inference (concatenated-data and multispecies coalescent methods), and demographic history.
DOI: 10.17632/9t96f6zt2n
title: Research Data

description: Data analysis using SPSS AMOS 26.0
DOI: 10.25405/data.ncl.8869919.v1
title: Data for "Pattern and speed interact to hide moving prey", Umeton et al Current Biology 2019

description: Please see README.pdf for a full description of all the files uploaded here, and how to use them.
DOI: 10.6084/m9.figshare.22010699.v1
title: Wallstreetbets Reddit Data (10/2020 - 04/2022)

description: Data used in the article "The Echo Chamber Effect Resounds on Financial Markets: A Social Media Alert System for Meme Stocks" by Ilaria Gianstefani, Luigi Longo, Massimo Riccaboni. <br> https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4053771 <br> To cite the paper: <br> @article{gianstefani2022echo,<br> title={The echo chamber effect resounds on financial markets: A social media alert system for meme stocks},<br> author={Gianstefani, Ilaria and Longo, Luigi and Riccaboni, Massimo},<br> journal={arXiv preprint arXiv:2203.13790},<br> year={2022}<br> }<br> <br> The folder common_stats contains raw data for submissions and comments related to keywords. <br> The folder reddit_raw contains statistics computed with the methodology used in the paper.
DOI: 10.6084/m9.figshare.22059092.v1
title: Dataset: Scorpionfish rapidly change colour in response to their background

description: The datasets were used in the paper 'Scorpionfish rapidly change colour in response to their background'.
DOI: 10.6084/m9.figshare.22241743.v1
title: Plant-specific climate and hazard time series

description: Plant-specific climate and hazard time series (i.e., air temperature, wet-bulb temperature, precipitation, drought, floods, and water temperature) that supports the findings of the study titled "A framework to assess multi-hazard climate risk for power generation projects from publicly accessible sources" to Communications Earth & Environment. This research was made possible thanks to the support of the European Bank for Reconstruction and Development (EBRD). The findings reflect the opinions of individual authors and do not necessarily reflect the views of the EBRD.
DOI: 10.6084/m9.figshare.5797287.v3
title: Direct RNA nanopore sequencing data of total RNA from human K562 cells with sequin spike-in controls

description: Direct RNA sequencing data for human cell line k562 with ~10% sequins, a spike-in reference standard. <br>Generated on 22 November 2017 using 500ng total RNA extracted from k562 cells and 50ng of RNA sequins Mix A (final concentration after sample preparation = 1.51 ng/uL). Nanopore MinION flowcell FAH35825 (R9.4 chemistry), displayed 1323 active channels at commencement of run. Sequencing protocol RNA001. Base called with Albacore version 2.1.3.Includes albacore summary statistics (bundled in .tgz) and a generic quality report of the run (.pdf). <br>Sequin reference sequences and expected abundances for Mix A can be found at http://www.sequin.xyz/downloads/<br>=====<b><br></b><b>Update (7 July 2019):</b> Added fastq and sequencing summary resulting from updated base calling using guppy high-accuracy (k562_guppyHAC.tgz, guppy v3.1.5 using R9.4.1 70bps RNA pore model). <br>=====<br><b>Update (15 July 2019): </b>Raw sequencing data (.fast5) uploaded to ENA (accession PRJEB33485). Available at the following link: https://www.ebi.ac.uk/ena/data/view/PRJEB33485<br>
DOI: 10.17632/27j2zg6f5x
title: Data and Codes for: Domain adaptation of a SMILES chemical transformer to SELFIES with limited computational resources

description: This repository supports the manuscript “Domain adaptation of a SMILES chemical transformer to SELFIES with limited computational resources”, providing all necessary data, models, and code for reproducing the reported experiments and figures. It includes two core datasets (SMILES_to_SELFIES.csv and Filtered_QM9.csv) for SELFIES-based domain adaptation and QM9 regression, along with a zip archive (selfies_finetuned_model.zip) containing the final domain-adapted model.

Five Jupyter notebooks are provided: Domain Adaptation and Figures.ipynb, QM9 regression: SELFIES DA model.ipynb, QM9 regression: ChemBERTa-77M-MLM model.ipynb, QM9 Regression: ChemBERTa-zinc-base-v1 model.ipynb, and Finetuning on Benchmark Datasets.ipynb. The last of these implements additional finetuning and performance evaluation of the SELFIES-repurposed model on three standard benchmark datasets: ESOL, FreeSolv, and Lipophilicity. Each notebook illustrates the full methodology, from data preparation through model training and evaluation.
DOI: 10.17632/xghch684sn
title: Data for TCP_LR Clinical Application Examples

description: Input and Output data for CHART, CRT & Lung
DOI: 10.6084/m9.figshare.22798418.v1
title: <strong>Enhancing Chemistry Learning with ChatGPT and Bing Chat as Objects‑to‑Think‑With: A Case Study</strong>

description: Log capturing participants' interactions simulating Chemistry students' learning experiences with ChatGPT and Bing Chat, supporting findings and conclusions of the study "Enhancing Chemistry Learning with ChatGPT and Bing Chat as Objects to Think With: A Case Study," by Renato P. dos Santos.
DOI: 10.6084/m9.figshare.3996006.v1
title: Supplementary Material for: The POU/Oct Transcription Factor Pdm1/nub Is Necessary for a Beneficial Gut Microbiota and Normal Lifespan of Drosophila

description: Maintenance of a stable gut microbial community relies on a delicate balance between immune defense and immune tolerance. We have used <i>Drosophila</i> to study how the microbial gut flora is affected by changes in host genetic factors and immunity. Flies with a constitutively active gut immune system, due to a mutation in the POU transcriptional regulator <i>Pdm1/nubbin (nub)</i> gene, had higher loads of bacteria and a more diverse taxonomic composition than controls. In addition, the microbial composition shifted considerably during the short lifespan of the <i>nub</i><sup><i>1</i></sup> mutants. This shift was characterized by a loss of relatively few OTUs (operational taxonomic units) and a remarkable increase in a large number of <i>Acetobacter </i>spp<i>.</i> and <i>Leuconostoc</i> spp. Treating <i>nub</i><sup><i>1</i></sup> mutant flies with antibiotics prolonged their lifetime survival by more than 100%. Immune gene expression was also persistently high in the presence of antibiotics, indicating that the early death was not a direct consequence of an overactive immune defense but rather an indirect consequence of the microbial load and composition. Thus, changes in host genotype and an inability to regulate the normal growth and composition of the gut microbiota leads to a shift in the microbial community, dysbiosis and early death.<br>
DOI: 10.6084/m9.figshare.13363448.v1
title: Supplementary Table S1

description: This supplementart table to the article 'Convergences and divergences in operationalizing the health-related indicators of the 2030 agenda for sustainable development' (Silveira et al.) aims at clarifying the convergences and divergences in the operationalization of the health-related SDG indicators according to five key global institutions: the World Health Organization (WHO), the World Bank (WB), the Pan American Health Organization (PAHO), the Global Board of Disease (GBD), and the Sustainable Development Solutions Network (SDSN). The compiled list of health-related indicators goes beyond those in SDG 3 – “Ensuring a healthy life and promoting well-being at all ages” – and its 13 targets and 27 indicators – to encompass a total of 60 indicators (in 38 targets and 8 goals) that these institutions associate with health. The analysis spans the themes covered and metrics of the indicators presented both in the institutions’ lists and online platforms, confronting their choices with the official SDG indicators and the operationalized indicators in the official dissemination platform (UNDESA). Understanding where the views of these institutions diverge and converge lend important insights for the strategic organization of the international community for the achievement of the 2030 Agenda’s health targets.
DOI: 10.6084/m9.figshare.28748600.v1
title: <b>Exploring</b><b> </b><b>EFL s</b><b>tudents’</b><b> </b><b>e</b><b>ffective </b><b>use of </b><b>GenAI in </b><b>w</b><b>riting:</b><b> </b><b>Interplay of self-regulation, critical thinking, growth mindsets, </b><b>general </b><b>writing competence</b><b>,</b><b> </b><b>and G</b><b>en</b><b>AI literacy</b>

description: Understanding individual factors influencing EFL students’ effective use of GenAI in writing is essential for advancing EFL writing instruction in the AI era. However, research in this area remains limited. This study introduces a research model that includes self-regulation, critical thinking, growth mindsets, GenAI literacy, and general writing competence to examine how students’ motivation, cognitive skills, technological literacy, and writing abilities impact GenAI-assisted writing. Data were collected from 342 first-year EFL students who completed a semester-long college English course integrating GenAI tools in writing, through questionnaires and two writing tasks. The proposed model was tested using PLS-SEM.
DOI: 10.17632/3rwjgbj4k8
title: PerilPix: A Curated Dataset for Detecting Extreme and Normal Selfies

description: The dataset contains 2,000 images equally divided into "Normal Selfie" and "Extreme Selfie" categories, with 1,000 images each. "Normal Selfie" images were sourced from UCF's public dataset, while "Extreme Selfie" images were collected from social media and online platforms. Manual validation ensured accurate classification for reliable model training.
DOI: 10.17632/cfcsj6ktbr
title: Data for: Geographic ontology for major disasters: methodology and implementation

description: GEO-MD Ontology
DOI: 10.17632/mt3yssmkvj
title: Kinetic modeling reveals additional regulation at co-transcriptional level by post-transcriptional sRNA regulators, Reyer et al. 

description: All code and data used in the manuscript "Kinetic modeling reveals additional regulation at co-transcriptional level by post-transcriptional sRNA regulators"
DOI: 10.6084/m9.figshare.24218637.v1
title: Supplementary Material for: Relationships among non-neoplastic histopathological features, kidney function, proteinuria, and other clinical factors in patients undergoing nephrectomy.

description: Introduction. The non-neoplastic kidney parenchyma from nephrectomies is often overlooked in routine examination. We aimed to evaluate the associations between global glomerulosclerosis (GS), interstitial fibrosis (IF) or arteriosclerosis (AS), with estimated glomerular filtration rate (eGFR), dipstick proteinuria, and other clinical factors. Methods. We performed a cross-sectional analysis of 781 patients with nephrectomy. We used regression models with and without interaction factors. The tested exposures were GS, IF or AS and the outcome measures were GFR and dipstick proteinuria. Results In multivariable analyses, increasing degrees of GS, IF, or AS were significantly associated with lower eGFR and proteinuria (p&lt;0.05 for each). Obesity and hypertension (HTN) modified the association between eGFR and degrees of GS whereas proteinuria and cardiovascular disease (CVD) modified the association between eGFR and degrees of AS (p for interaction &lt;0.05). Compared with GS &lt;10%, GS &gt;50% was associated with lower eGFR in patients with (-45 ml/min/1.73m2) than without (-19 ml/min/1.73m2) obesity; and GS &gt;50% was associated with lower eGFR in patients with (-31 ml/min/1.73m2) than without (-16 ml/min/1.73m2) HTN. Compared with AS &lt; 26%, AS &gt;50% was associated with lower eGFR in patients with (-11 ml/min/1.73m2) than without (-6 ml/min/1.73m2) proteinuria; and AS &gt;50% was associated with lower eGFR in patients with (-23 ml/min/1.73m2) than without (-7 ml/min/1.73m2) CVD. Conclusion. Greater degrees of each GS, IF, and AS are independently associated with proteinuria and lower eGFR. Obesity, HTN, proteinuria, and CVD modify the relationship between eGFR and specific histopathological features of nephrosclerosis.
DOI: 10.17632/73vvfc82rm
title: Software for predicting the shear capacity of stud in steel-UHPC composite structure

description: This is the software for predicting the shear capacity of headed stud in steel-UHPC composite structures. It is created for academic research and fully open access for anyone who need them. Please read "read me" before use.
DOI: 10.17632/7r9j67wxzb
title: Data set of master thesis Applying the Requirements Engineering for Software Architecture model in software products: a case study using crowdsourcing

description: Data gathered, used and/or analyzed for the Business Informatics Master Thesis "Applying the Requirements Engineering for Software Architecture model in software products: a case study using crowdsourcing", performed at Utrecht University.