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opencc-by-4.0Dec 2022View details →

Research data from the two surveys on IoT implementation for Article "User and Professional Aspects for Sustainable Computing Based on the Internet of Things in Europe"

The file includes data collected through two online surveys linked to the article "User and Professional Aspects for Sustainable Computing Based on the nternet of Things in Europe" published by journal Sensors in January 2023: <ul> <li>Survey on factors that inlfuence IoT Adoption by non technical users</li> <li>Survey on recommended profile focused on IoT implementation for two professional roles in the context of Smart Cities  (SC) projects: SC engineer and SC technician.</li> </ul>

Phantom imaging data and analysis macros for the article "Monochromatic computed tomography using laboratory-scale setup"

The raw and processed data and analysis macros of the article A.-P. Honkanen et S. J. Huotari, Monochromatic computed tomography using laboratory-scale setup, Scientific Reports (2023), doi:<a href="http://doi.org/10.1038/s41598-023-27409-6">10.1038/s41598-023-27409-6</a> The data set consists of the raw and reconstructed computed tomography projection data taken of an PMMA phantom embedded with three different chemical species of selenium taken with a monochromatic X-ray imaging setup based on a laboratory-scale Johann-type crystal X-ray spectrometer. In addition to the imaging data, the set contains also the Jupyter Notebooks used to process and analyse the data. The details of the instrument and the analysis are presented in the article. The dataset is licensed under Creative Commons Attribution 4.0 International License <a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a>

SDG Knowledge Hub Dataset of SDG-labeled News Articles

Dataset of articles published on the IISD SDG Knowledge Hub (<a href="http://sdg.iisd.org/">sdg.iisd.org</a>). The SDG Knowledge Hub is an online resource publishing news and commentary regarding the implementation of the United Nations’ 2030 Agenda for Sustainable Development and the Sustainable Development Goals (SDGs). Labels assigned by the authors and validated by SDG Knowledge Hub editors indicate which of the 17 SDGs an article addresses. The data set was generated for the following publications. Please consider citing the publication if you use the data.  Wulff, D. U., Meier, D. S., & Mata, R. (2023). Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals. arXiv preprint arXiv:2301.11353. The data contain 9,172 articles downloaded on September 15th, 2021, and are shared with permission from the SDG Knowledge Hub. The comma-separated data file includes the following columns: url - URL of the article. title - Title of the article. type - Type of article. Either "News", "Policy briefs", "Guest articles", or "Generation 30".  text - Text of the article.  date - Publishing date of article. sdgs - SDG labels assigned by authors and editors.  SDG-01 to SDG-17 - SDG indicators extracted from the author and editor label.

opencc-by-sa-4.0Jan 2023View details →

U.S. Science Journalists' Knowledge and Opinion of Open Access Articles as Sources

Survey data of U.S. science journalists and their knowledge and opinions of OA research as news sources.

opencc-by-4.0Jan 2022View details →

Dataset related to article "Imaging the kidney with an unconventional scanning electron microscopy technique: analysis of the subpodocyte space in diabetic mice".

Datasets: Table 1_Systemic parameters.xlsx - dataset related to the systemic parameters. These data are presented in Table 1.  Figure 6_Morphometric analysis.xlsx - dataset related to the morphometric characterization of the subpodocyte space and podocytes. These data are presented in Figure 6.  Abstract of the manuscript Transmission electron microscopy (TEM) remains the gold standard for renal histopathological diagnoses, given its higher resolving power compared to light microscopy. However, it imposes several limitations on pathologists, including longer sample preparation time and a small observation area. To overcome these, we introduced a scanning electron microscopy (SEM) technique for imaging resin-embedded semi-thin sections of renal tissue. We developed a rapid tissue preparation protocol for experimental models and human biopsies which, alongside SEM digital imaging acquisition of secondary electrons (SE-SEM), enables fast electron microscopy examination, with a resolution similar to that achieved by TEM. We used this unconventional SEM imaging approach to investigate the subpodocyte space (SPS) in BTBR ob/ob mice with type 2 diabetes. Analysis of semi-thin sections with secondary electrons revealed that the SPS had expanded in volume and covered large areas of the glomerular basement membrane, forming wide spaces between the podocyte body and underlying filtering membrane. Our results show that SE-SEM is a valuable tool for imaging the kidney at the ultrastructural level, filling the magnification gap between light microscopy and TEM, and reveal that in diabetic mice the SPS is larger than in normal controls, which is associated with podocyte damage and impaired kidney function.

Data set for article "Migrant Entrepreneurs as Agents of Development? Geopolitical Context and Transmobility Strategies of Colombian Migrants Returning from Venezuela"

Data set for paper "Migrant Entrepreneurs as Agents of Development? Geopolitical Context and Transmobility Strategies of Colombian Migrants Returning from Venezuela"

Dataset related to the article "Epicardial Adipose Tissue-Derived IL-1β Triggers Postoperative Atrial Fibrillation"

This record contains raw data related to the article "Epicardial Adipose Tissue-Derived IL-1β Triggers Postoperative Atrial Fibrillation" Background and aims: Post-operative atrial fibrillation (POAF), defined as new-onset AF in the immediate period after surgery, is associated with poor adverse cardiovascular events and a higher risk of permanent AF. Mechanisms leading to POAF are not completely understood and epicardial adipose tissue (EAT) inflammation could be a potent trigger. Here, we aim at exploring the link between EAT-secreted interleukin (IL)-1β, atrial remodeling, and POAF in a population of coronary artery disease (CAD) patients. Methods: We collected EAT and atrial biopsies from 40 CAD patients undergoing cardiac surgery. Serum samples and EAT-conditioned media were screened for IL-1β and IL-1ra. Atrial fibrosis was evaluated at histology. The potential role of NLRP3 inflammasome activation in promoting fibrosis was explored in vitro by exposing human atrial fibroblasts to IL-1β and IL-18. Results: 40% of patients developed POAF. Patients with and without POAF were homogeneous for clinical and echocardiographic parameters, including left atrial volume and EAT thickness. POAF was not associated with atrial fibrosis at histology. No significant difference was observed in serum IL-1β and IL-1ra levels between POAF and no-POAF patients. EAT-mediated IL-1β secretion and expression were significantly higher in the POAF group compared to the no-POAF group. The in vitro study showed that both IL-1β and IL-18 increase fibroblasts' proliferation and collagen production. Moreover, the stimulated cells perpetuated inflammation and fibrosis by producing IL-1β and transforming growth factor (TGF)-β. Conclusion: EAT could exert a relevant role both in POAF occurrence and in atrial fibrotic remodeling.

Supporting dataset for article "Coastal survey data for Perranporth Beach and Start Bay, Southwest England (2006–2021)"

This submission is a dataset associated with the publication: "Coastal survey data for Perranporth Beach and Start Bay, Southwest England (2006–2021)", R. J. McCarroll et al., submitted to Scientific Data, Jan 2023. Included data are multi-method coastal data for the period 2006 to 2021, for two contrasting macrotidal environments in southwest England: (i) cross-shore dominated, dissipative, sandy Perranporth Beach, Cornwall; and (ii) longshore-dominated, reflective gravel beaches within Start Bay, Devon. Data comprise monthly to annual beach profile surveys, annual merged topo-bathymetries, in addition to observed and numerically modelled wave and water levels. These data provide a valuable resource for modelling the behaviour of coastal types not covered by other currently available datasets. See "README.txt" and "_Metadata_DS01-DS13.xlsx" for further details.

Dataset for "Review article: Earth's ice imbalance"

################################## This archive contains source data to reproduce Figure 4 from Slater et al. 2021, "Review article: Earth’s ice imbalance" <a href="https://tc.copernicus.org/articles/15/233/2021/">https://tc.copernicus.org/articles/15/233/2021/</a> Centre for Polar Observation and Modelling, School of Earth and Environment, University of Leeds Corresponding author: t.slater1@leeds.ac.uk ################################## Time series of annual cumulative ice mass change are provided for each individual component between 1994 and 2017 in the following data files: -------------------------------------------------------------- AIS_cumul_1994_2017_annual.csv -------------------------------------------------------------- Antarctic Ice Sheet -------------------------------------------------------------- Glacier_cumul_1994_2017_annual.csv -------------------------------------------------------------- Mountain glaciers -------------------------------------------------------------- GrIS_cumul_1994_2017_annual.csv -------------------------------------------------------------- Greenland Ice Sheet -------------------------------------------------------------- iceshelves_calving_cumul_1994_2017_annual.csv -------------------------------------------------------------- Antarctic ice shelf calving -------------------------------------------------------------- iceshelves_thinning_cumul_1994_2017_annual.csv -------------------------------------------------------------- Antarctic ice shelf thinning -------------------------------------------------------------- NH_seaice_cumul_1994_2017_annual.csv -------------------------------------------------------------- Sea ice in the Northern Hemisphere -------------------------------------------------------------- SH_seaice_cumul_1994_2017_annual.csv -------------------------------------------------------------- Sea ice in the Southern Hemisphere -------------------------------------------------------------- Acknowledgements:  We thank Axel Schweiger and Jinlun Zhang for their help with PIOMAS/GIOMAS data and Susheel Adusumilli for providing ice shelf thickness change data. We thank the editor, Xavier Fettweis, and two anonymous reviewers for their comments, which greatly improved the manuscript.

Supplementary files for the article "A Systematic Literature Review on Multimodal Machine Learning"

All included data was used for this review study. Data contains information from collected articles. Results of the analysis of each article are also available. All files are related to each other. A file named "All Articles Selected And Rejected Decision.xlsx" contains the name and ID of all articles, and that ID is used in other files as a reference for the analysis.

Raw Data for the article: Current Perspectives on Adult Mesenchymal Stromal Cell-Derived Extracellular Vesicles: Biological Features and Clinical Indications

Extracellular vesicles (EVs) constitute one of the main mechanisms by which cells communicate with the surrounding tissue or at distance. Vesicle secretion is featured by most cell types, and adult mesenchymal stromal cells (MSCs) of different tissue origins have shown the ability to produce them. In recent years, several reports disclosed the molecular composition and suggested clinical indications for EVs derived from adult MSCs. The parental cells were already known for their roles in different disease settings in regulating inflammation, immune modulation, or transdifferentiation to promote cell repopulation. Interestingly, most reports also suggested that part of the properties of parental cells were maintained by isolated EV populations. This review analyzes the recent development in the field of cell-free therapies, focusing on several adult tissues as a source of MSC-derived EVs and the available clinical data from in vivo models.

Supporting Information for the Journal Article "Quantum Chemical Data Generation as Fill-In for Reliability Enhancement of Machine-Learning Reaction and Retrosynthesis Planning"

This data set contains all data produced when exploring the Williamson ether synthesis starting from iodoethane and phenol. The set is structures as follows: <ul> <li>analysis: Contains the script used to analyze the exploration and the output of said script</li> <li>check_barrier: Contains the output of the manual calculations done to check the barrier of the reaction</li> <li>exploration: Contains the scripts used to initialize and carry out the exploration as well as the two starting structures as XYZ files</li> <li>raw_data: a dump of the MongoDB database with all the data produced during the exploration</li> </ul>

opencc-by-2.0Feb 2023View details →

Datasets for article Effect of disease prevalence and growth stage on symptoms severity in the Turnip mosaic virus - Arabidopsis thaliana pathosystem

Plants generate volatile organic compounds (VOCs) in response to biotic and abiotic stimuli that provide information about the physiological status of emitters to other individuals in the community.  Nearby receivers adjust their own defenses in response to these chemical cues.  The majority of studies to date has concentrated on the communication of abiotic stressors (e.g. salinity or drought) or herbivory.  Less attention had received the role of VOCs during microbial infections and almost nothing has been done for viruses.  Here we investigated the function of VOCs during turnip mosaic virus infection of Arabidopsis thaliana.  First, we looked at the influence of two factors on the kinetics of symptoms progression in receivers, namely the prevalence of infection in the population and the growth stage of the receiver plants at inoculation.  We found that young plants were more sensitive to the protective effect of VOCs than older ones, and that high infection prevalence results in a slower disease progression in receivers.  Second, we looked into the possibility that jasmonates could be VOC candidates.  To do this, we examined the kinetics of symptoms progression in jasmonate-insensitive and wild-type plants, and the results showed that the protective effect vanished in the mutant plants.  Third, we investigated the possibility that root communication would be also relevant.  Our findings showed that the kinetics of symptom progression across receivers was further slowed down when plants were housed in the same pot.  Together, our preliminary findings point to a potential function for disease prevalence in plant communities in regulating the severity of symptoms, this effect being mediated by VOCs.

dataset related to article "A NOVEL BIO-INSPIRED STRATEGY TO PREVENT AMYLOIDOGENESIS AND SYNAPTIC DAMAGE IN ALZHEIMER'S DISEASE"

Levels of Abeta40, Abeta42 and aggregated Abeta results obtained from plaque count densitometric analysis of ctf and synaptic proteins levels of antibodies against Abeta42 and Abeta1-6

datset related to article "THE NOVEL I213S MUTATION IN PSEN1 GENE IS LOCATED IN A HOTSPOT CODON ASSOCIATED WITH FAMILIAL EARLY-ONSET ALZHEIMER'S DISEASE"

Electropherogram of the proband psen1 exon 7 ngs analysis of causal and risk genes associated to dementia

dataset relate to article "Quality of life assessment in adult spinal muscular atrophy patients treated with nusinersen"

Excel file with raw data of the INQoL scale scores for each domain, for each patient, before and after nusinersen treatment

dATASET RELATED TO ARTICLE "Complement Activation Profile in Myasthenia Gravis Patients: Perspectives for Tailoring Anti-Complement Therapy"

raw data derived by quantification of complement components and activation products in plasma samples of myasthenia gravis (MG) patients positive for anti-achr and anti-musk autoantibodies and healthy controls, using multiplex immunoassays and elisa

Topic Modeling for Multi-label Research Articles

The abstract and title for a set of research articles, and their assigned topics. The research article abstracts and titles are sourced from the following 6 topics: <ol> <li> Computer Science </li> <li> Physics </li> <li> Mathematics </li> <li> Statistics </li> <li> Quantitative Biology </li> <li> Quantitative Finance </li> </ol> Note that a research article can possibly have more than 1 topic. For more details check out the paper of : "Evaluation of SVM Transformations for Multi-Label Research Article Classification"

dataset related to article: " Cerebrospinal fluid neuropathological biomarkers in beta-propeller protein-associated neurodegeneration, with complicated parkinsonian phenotype"

analysis sanger electropherograms in the patient's in .abi format and segregation in the family (mother; father and sister

dataset related to article: "PMCA-Based Detection of Prions in the Olfactory Mucosa of Patients With Sporadic Creutzfeldt-Jakob Disease"

<ol> <li>ESTIMATING PRION CONCENTRATION IN THE OM OF SCJD MM1, MV2 AND VV2 PATIENTS BY MEANS OF QUANTITATIVE PMCA (QPMCA)</li> <li>EVALUATION OF THE BIOCHEMICAL PROPERTIES OF PMCA GENERATED PRODUCTS</li> <li>PMCA ANALYSIS OF SCJD BRAIN HOMOGENATES</li> <li>PMCA ANALYSIS OF SCJD OLFACTORY MUCOSA</li> <li>RT-QuIC ANALYSIS OF OM AND BH OF SCJD PATIENTS AND CONTROLS</li> <li>WESTERN BLOT ANALYSIS OF BRAIN HOMOGENATES</li> <li>STATISTICAL ANALYSIS</li> </ol>