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Dataset of EEG recordings of pediatric patients with epilepsy based on the 10-20 system
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Inter-Chemical Correlation results for the study: HHEARx2016-1407 (Pediatric Inner-City Environmental Exposures at School and Home and Asthma Study)
Title: Pediatric Inner-City Environmental Exposures at School and Home and Asthma Study <br>Species: Homo sapiens <br>Number of samples: 157 <br>Number of named analytes: 28 <br>Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=2 <br>
Tailored Sticky Solutions: 3D-Printed Miconazole Buccal Films for Pediatric Oral Candidiasis - Underlying CT data
<p>Underlying CT data of "<strong>Tailored Sticky Solutions: 3D-Printed Miconazole Buccal Films for Pediatric Oral Candidiasis</strong>"<br><strong>DOI: <a href="https://doi.org/10.1208/s12249-024-02908-5">https://doi.org/10.1208/s12249-024-02908-5</a></strong></p> <p>by </p> <p>Konstantina Chachlioutaki, Anastasia Iordanopoulou, Orestis L. Katsamenis, Anestis Tsitsos, Savvas Koltsakidis, Pinelopi Anastasiadou, Dimitrios Andreadis, Vangelis Economou, Christos Ritzoulis, Dimitrios Tzetzis, Nikolaos Bouropoulos, Iakovos Xenikakis & Dimitrios Fatouros </p> <p> </p> <div> <h3>Authors and Affiliations</h3> <ol> <li> <p>Department of Pharmacy Division of Pharmaceutical Technology, Aristotle University of Thessaloniki, Thessaloniki, Greece</p> <p>Konstantina Chachlioutaki, Anastasia Iordanopoulou, Iakovos Xenikakis & Dimitrios Fatouros</p> </li> <li> <p>Center for Interdisciplinary Research and Innovation (CIRI-AUTH), Thessaloniki, Greece</p> <p>Konstantina Chachlioutaki & Dimitrios Fatouros</p> </li> <li> <p>μ-VIS X-Ray Imaging Centre, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, SO17 1BJ, UK</p> <p>Orestis L. Katsamenis</p> </li> <li> <p>Institute for Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK</p> <p>Orestis L. Katsamenis</p> </li> <li> <p>Laboratory of Animal Food Products Hygiene - Veterinary Public Health, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece</p> <p>Anestis Tsitsos & Vangelis Economou</p> </li> <li> <p>Digital Manufacturing and Materials Characterization Laboratory, School of Science and Technology, International Hellenic University, 14km Thessaloniki–N. Moudania, 57001, Thermi, Greece</p> <p>Savvas Koltsakidis & Dimitrios Tzetzis</p> </li> <li> <p>Department of Oral Medicine/Pathology, School of Dentistry, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece</p> <p>Pinelopi Anastasiadou & Dimitrios Andreadis</p> </li> <li> <p>Department of Food Science and Technology, International Hellenic University, Sindos Campus, 57400, Thessaloniki, Greece</p> <p>Christos Ritzoulis</p> </li> <li> <p>Department of Materials Science, University of Patras, Rio, 26504, Patras, Greece</p> <p>Nikolaos Bouropoulos</p> </li> <li> <p>Foundation for Research and Technology Hellas, Institute of Chemical Engineering and High Temperature Chemical Processes, 26504, Patras, Greece</p> <p>Nikolaos Bouropoulos</p> </li> </ol> </div>
Data and analysis for: "Persistent Spatial Clustering and Predictors of Pediatric La Crosse Virus Neuroinvasive Disease Risk in Eastern Tennessee and Western North Carolina, 2003–2020"
<p>This is the initial release of the data and code corresponding to the manuscript submitted to PLoS Neglected Tropical Diseases. <strong>Please refer to the README.md file</strong> for a description of the contents of this repository and how to use them. The README file can be opened with a text editor, or viewed directly in the GitHub repository. The data and code are provided within a project directory with a reproducible R package library for ease and accuracy of reproducibility. </p> <p><strong>Ethics Approval</strong></p> <p>This study was approved by the University of Tennessee, Knoxville Institutional Review Board (UTK IRB-22-07079-XP) and the Tennessee Department of Health Institutional Review Board (TDH IRB 2021-0314). Data provided here is de-identified and aggregated (both temporally and spatially) to protect the privacy of individuals included in the study, in concordance with IRB and Data Use Agreements.</p>
Combined unsupervised and semi-automated supervised analysis of flow cytometry data reveals cellular fingerprint associated with newly diagnosed pediatric type 1 diabetes
<p>Type 1 diabetes is a chronic autoimmune disease resulting in an immune-mediated loss of pancreatic β-cells; however, an unbiased and reproducible profiling of type 1 diabetes-specific circulating immunome at disease onset has yet to be explored. In this study, fresh whole blood was collected from a pediatric cohort of 107 patients with new-onset type 1 diabetes, 85 relatives of patients with type 1 diabetes with 0-1 islet autoantibodies, 58 patients with celiac disease or autoimmune thyroiditis and 76 healthy controls. Up to 6 mL of blood was collected from each subject into a VACUETTE® TUBE 6 ml ACD-B (Greiner). Fresh whole blood underwent red blood cell lysis, was washed and stained with specific monoclonal antibodies. Fresh whole blood samples were stained with five panels of antibodies labelled as T cells, T&NK cells, B cells, Tregs and DCs/monos encompassing main subsets of T cells, NK cells, B cells, Tregs, DCs and monocytes detected using 26 surface markers and the intracellular marker forkhead box P3 (FoxP3); for the Treg panel, intracellular staining was performed after fixation and permeabilization. Cells were acquired on a BD FACSCanto-II flow cytometer equipped with FACSDiva software (Becton Dickinson, Franklin Lakes, NJ). </p>
Regensburg Pediatric Appendicitis Dataset
<p>This dataset was acquired in a retrospective study from a cohort of pediatric patients admitted with abdominal pain to Children’s Hospital St. Hedwig in Regensburg, Germany. Multiple abdominal B-mode ultrasound images were acquired for most patients, with the number of views varying from 1 to 15. The images depict various regions of interest, such as the abdomen’s right lower quadrant, appendix, intestines, lymph nodes and reproductive organs. Alongside multiple US images for each subject, the dataset includes information encompassing laboratory tests, physical examination results, clinical scores, such as Alvarado and pediatric appendicitis scores, and expert-produced ultrasonographic findings. Lastly, the subjects were labeled w.r.t. three target variables: diagnosis (appendicitis vs. no appendicitis), management (surgical vs. conservative) and severity (complicated vs. uncomplicated or no appendicitis). The study was approved by the Ethics Committee of the University of Regensburg (no. 18-1063-101, 18-1063_1-101 and 18-1063_2-101) and was performed following applicable guidelines and regulations.</p>
Longitudinal observational study of pediatric patients with primary brain tumors: establishment of a hospital-based registry.
<p>Although tumors of the central nervous system (CNS) represent 2 % of all malignancies in general, they cause a disproportionately large morbidity and mortality and are the second most common form of cancer in children and the major solid tumor in childhood in the U.S., occurring in 21.3% of all children with malignant disease. The treatment of brain tumors in children and adolescents has evolved significantly in recent decades. Nowadays, most children with a diagnosis of brain tumor are treated properly and achieve prolonged survival. In order to obtain an overview of the impact of brain tumors, specialized registries, which provide information on all types of brain tumors, have emerged in several countries. Following on the pioneering Japanese and American experiences of specialized national records of brain tumors, other specialized registries were opened in European countries. This project aims to initiate a registry of the epidemiological profile of patients treated for CNS tumors in the Pediatric Cancer Center (CPC) of our hospital from January 2000 to December 2013, at diagnosis and during follow-up, updating information periodically. This data will be recorded in an electronic database capable of storing, retrieving and presenting information of interest. Prospectively recorded epidemiological data of patients diagnosed from January 2014 will be accrued, maintaining the database active to continuously record information on patients with CNS tumors treated in the CPC HIAS. Thus, creating a hospital registry of pediatric patients with CNS tumors. To this end, an instrument of data collection will be created using Google Apps (Google Inc., 2014), a digital platform with capacity for storage, creation and editing of documents and collaboration in real time over the cloud.</p>
Pediatric Heat Risk Index Project
<p>The pediatric risk index project attempts to create a risk index specifically for pediatric populations using socioeconomic and health data across the United States. This new index is then overlayed with heat warming anomaly trends in this decade and future climate projections to better understand which vulnerable populations have the greatest exposure to extreme heat events and will only continue to be exposed to these events in the future. This repository contains the climate normal data, Google Earth Engine and R code for data processing, and the final data products. MODIS Land Surface Temperature Dataset and the NOAA NCEI Climate Grid Daily Temperature dataset can be accessed via Google Earth Engine with the code in this respository. This repository also has a GitHub link with the Google Earth Engine code availabile. </p>
Dose coefficients for organ dosimetry in tomosynthesis imaging of adults and pediatrics across diverse protocols
<p>A database of organ dose coefficients using MC simulations for a clinically representative virtual population of adult and pediatric XCAT patient models over an expanded set of 21 exam protocols in digital tomosynthesis. </p>
The Supplementary Material for the article entitled "Comparative analysis of global transcriptomes in nontyphoidal Salmonella clinical isolates from pediatric patients with and without bacteremia after infecting human intestinal epithelium in vitro"
<p>The Supplementary Material (Additional files 1-5, including Table S1-S4 and Figure S1) for this article.</p> <p> </p> <p><strong>Table S1.</strong> Upregulated genes in Group B versus Groups A and C+D.</p> <p> </p> <p><strong>Table S2.</strong> Downregulated genes in Group B versus Groups A and C+D.</p> <p> </p> <p><strong>Table S3. </strong>The enriched GO terms in Group B versus Groups A and C+D.</p> <p> </p> <p><strong>Table S4. </strong>The enriched KEGG pathways in Group B versus Groups A and C+D.</p> <p> </p> <p><strong>Figure S1. </strong>The enriched GO terms and KEGG pathways in Group B relative to Group A. Bar charts show the enriched GO terms (A) and the enriched KEGG pathways (B) by significance power. Color of bars indicate power of significance and length in x axes of bar indicate number of annotated genes in the particular term of pathway. Cnetplots show the relationship between GO term (C) and KEGG pathways (D). Dot size representing GO terms and KEGG pathways indicates number of significantly changed and its annotated genes. The GO terms or KEGG pathways connected through their common and annotated genes. </p>
A normative database of free-breathing pediatric thoracic 4D dynamic MRI images
<p>In pediatric patients with respiratory abnormalities, it is important to understand the alterations in regional dynamics of the lungs and other thoracoabdominal components, which in turn requires a quantitative understanding of what is considered as normal in healthy children. Currently, such a normative database of regional respiratory structure and function in healthy children does not exist. The shared open-source normative database is from our ongoing virtual growing child (VGC) project, which includes 4D dynamic magnetic resonance imaging (dMRI) images during one breathing cycle for each normal child and also 10 object segmentations at end expiration (EE) and end inspiration (EI) phases of the respiratory cycle in the 4D image. The lung volumes at EE and EI as well as the excursion volumes of chest wall and diaphragm from EE to EI, left and right separately, are also reported. The database has 2,820 3D segmentations from 141 healthy children, which to our knowledge is the largest dMRI dataset of healthy children to date. The database is unique and provides dMRI images, object segmentations, and quantitative regional respiratory measurement parameters of volumes for healthy children. The database can serve as a reference standard to quantify regional respiratory abnormalities in young patients with various respiratory conditions and facilitate treatment planning and response assessment. The database can be useful to advance future AI-based research on image-based object segmentation and analysis.</p>
Intracellular Chiral Metabolome in Pediatric Leukemia
<p><span>Aberrations in the immunoglobulin heavy chain (IGH) locus are associated with poor prognosis in pediatric precursor B-cell acute lymphoblastic leukemia (BCP-ALL) patients. The primary objective of this pilot study is to enhance our understanding of the IGH phenotype by exploring the intracellular chiral metabolome. </span><span>Leukemia cells were isolated from the bone marrow of BCP-ALL pediatric patients at diagnosis and at the end of induction therapy (EIT). The samples’ metabolome and transcriptome were characterized using untargeted chiral metabolomic and next-generation sequencing transcriptomic analyses. </span><span>For the first time D- amino acids were identified in the leukemic cells' intracellular metabolome from the bone marrow niche. Chiral metabolic signatures at both diagnosis and EIT were indicative of a resistant phenotype. </span><span>Through integrated network analysis and Pearson correlation, confirmation was obtained regarding the association of the IGH phenotype with several genes linked to poor prognosis. </span><span>The findings of this study have contributed to the understanding that the chiral metabolome plays a role in the poor prognosis observed in an exceptionally rare patient cohort. </span><span>The findings include elevated D-amino acid incorporation in the IGH group, the emergence of several unknown, potentially enantiomeric, metabolites, and insights into metabolic pathways that all warrant further exploration. </span></p>
Digital Pediatric Image Quality Phantoms and Simulations
<p>Pediatric IQ Phantoms is a dataset of virtual phantoms and their computed tomography (CT) images for assessing the image quality of image-based CT denoising products in pediatric patients. The phantoms in the dataset enable assessment of <a title="IEC Standard 61223-5-3" href="https://webstore.iec.ch/publication/59789" target="_blank" rel="noopener">standard measures of image quality</a> – CT number accuracy, noise magnitude, uniformity, contrast dependent spatial resolution, and low contrast detectability. These phantoms are designed to span the range of pediatric effective waist diameters (Table 1) and thus can be used to assess pediatric image quality performance.</p> Table 1: Pediatric subgroups investigated defined by <table><tbody> <tr> <td><strong>Subgroup</strong></td> <td><strong>Age Range</strong></td> <td><strong>Waist Diameter Range</strong></td> </tr> <tr> <td>Newborn</td> <td>≤ 1 mo</td> <td>≤ 11.5 cm</td> </tr> <tr> <td>Infant</td> <td>> 1 mo & < 2 yrs</td> <td>> 11.5 cm & ≤ 16.8 cm</td> </tr> <tr> <td>Child</td> <td>> 2 yrs & ≤ 12 yrs</td> <td>> 16.8 cm & ≤ 23.2 cm</td> </tr> <tr> <td>Adolescent</td> <td>> 12 yrs & < 21 yrs</td> <td>> 23.2 cm & < 34 cm</td> </tr> <tr> <td>Adult</td> <td>≥ 22 yrs</td> <td>≥ 34 cm</td> </tr> </tbody> </table> <p>These phantoms include:</p> <ul> <li>CTP404 multi-contrast phantom: for assessing CT number accuracy and contrast-dependent spatial resolution. <ul> <li>CTP404 is a modified version of the sensitometry module CTP404 from the Catphan 600 phantom (The Phantom Laboratory, Salem, NY).</li> <li>This cylindrical phantom has eight unique contrast inserts ranging from -1000 to +900 HU in a uniform background of 0 HU. In its standard size, CTP404 has a diameter of 150 mm with 12 mm diameter inserts. Due to the sharp intersection between the phantom background and multi-contrast inserts, this module was used to evaluate contrast-dependent image sharpness using the contrast-dependent modulation transfer function.2</li> </ul> </li> <li>MITA LCD phantom: for assessing low contrast detectability. <ul> <li>The MITA-LCD phantom is a cylindrical phantom filled with water-equivalent attenuation material and contains four low-contrast disk inserts of different size and contrast combinations: 3mm-14HU, 5mm-7HU, 7mm-5HU, 10mm-3HU.3,4</li> </ul> </li> <li>Uniform water phantom: for assessing noise and noise texture. <ul> <li>The uniform water phantom is a cylindrical phantom filled with water-equivalent attenuation material.</li> </ul> </li> </ul>
Dataset from: "Assessment of depression, anxiety, and psychological symptoms in parents of pediatric palliative care patients: A single-center case-control study"
<p>The dataset comprises raw data from a case-control study that compared levels of depression, anxiety, and general psychological symptoms between parents of pediatric palliative care (PPC) patients and parents of healthy controls.</p> <p>Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), and Symptom Checklist-90 Revised (SCL-90-R) were employed to provide a comprehensive and nuanced understanding of the mental health challenges faced by parents.</p> <p>The designation "case" in the first column (A) represents the parents of PPC patients, while the designation "control" represents the control group. The columns labeled B to S present demographic characteristics data, while columns T to AR present inventory scores. Columns BB to GC, in turn, present the responses to the inventory items.</p> <p> </p> <p> </p>
Metabolomics of pediatric fatty liver disease
<p>Fecal and plasma metabolite profiles of non-alcoholic fatty liver disease (NAFLD) in a pediatric cohort</p>
Detection of novel P. falciparum haplotypes under treatment pressure in pediatric severe malaria
<p>The dataset contains Amplicon sequencing data targeting three <em>Plasmodium falciparum</em> polymorphic markers—<em>cpmp</em>, <em>cpp</em>, and <em>ama1</em>. These markers were analyzed to investigate the association between parasite clearance rate and the multiplicity of infection in Beninese children undergoing treatment for severe malaria.</p>
Neutrophil Profiles of Pediatric COVID-19 and Multisystem Inflammatory Syndrome in Children
<p>Code and data for the manuscript "Neutrophil Profiles of Pediatric COVID-19 and Multisystem Inflammatory Syndrome in Children" to be published in Cell Reports Medicine.</p> <p>Contains all code located at <a href="https://github.com/lasalletj/COVID_Neutrophils">https://github.com/lasalletj/</a><a href="https://github.com/lasalletj/Pediatric_COVID_MISC_Neutrophils">Pediatric_COVID_MISC_Neutrophils</a> as well as additional data files needed to run the code and supplementary materials for the manuscript.</p> <p>Any additional information required to reanalyze the data reported in this work paper is available from the Lead Contact, Lael Yonker (lyonker@mgh.harvard.edu) upon request.</p>
Interim data for scoping review on diagnosis, prognosis and treatment of pediatric DoC
<p>These are the data produced by the working group, while evaluating the existing literature on diagnosis, prognosis and treatment of pediatric DoC. Files include the results of the systematic search (3 repetitions), the data input of abstraction forms and QUADAS-2 and PROBAST checklists. A study workflow is also provided.</p>
Evaluation of knowledge and awareness of pediatric oral health among school teachers of Hazaribag before and after oral health education.
<p>This study was done to assess the knowledge of school teachers regarding child dental health. The number of subjects participated in research were more than 150. . A self‑administered, 30‑item questionnaire was designed in English language on clinical pediatric oral health. After receiving google forms, all the participants participated in oral health education webinar program using a web based online education training protocol on ZOOM platform. Post training assessment of the oral health knowledge scores was done using the same online semi‑structured self‑administered questionnaire. The inadequacy in knowledge of school teachers was evident and they need to be trained in varied areas of pediatric oral health.</p>
Study of Efficacy and Safety of CTL019 in Pediatric ALL Patients
ClinicalTrials.gov study NCT02228096. IPD Sharing: YES. Countries: 1. Publications: 4.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.