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1,105 results for “newborn;”
Intra-hospital transport of newborn infants dataset
<p>The dataset [TRI_database.xslx; TRI_codebook.pdf] provides information in 990 intra-hospital transports performed in 293 infants. Baseline demographics, clinical characteristics, characteristics of transports, adverse events that occurred during transports and interventions are documented.</p>
Magnetoencephalography recordings on newborns with auditory stimulations
<p>This dataset is organized in 3 main folders:<br>1. The folder 'data' contains the magnetoencephalography (MEG) recording data, organized in a BIDS-like structure: first by subjects and then by modalities. The optically pumped magnetometers (OPM) data folders contains the raw data and the preprocessing output files. The cryogenic MEG (SQUID) data folders contain the data after signal space separation (using MaxFilter) and the preprocessing output files.<br>The MEG files contain a time variable (time), a MEG data variable (data_meg), a sampling frequency variable (sfreq) and a variable containing the time stamps of the stimulations (trials). The OPM data in addition has an OPM position on the layout variable (positions) and a OPM labels variable (labels).<br>The preprocessing output files contain a variable with the artifact time stamps (bad_times) and a variable containing the heart and artifact component of an independent component analysis (ICA). If a second ICA was performed, another variable is present (IC). When computed, the frequency ranges of those components is also included (freq).<br>2. The folder 'layouts' contains the layouts files needed for the analysis.<br>3. The folder 'derivatives' contains the derivative data obtained by the analysis scripts which are the data used for generating the plots in the article.<br>All the files are in the Matlab matrix file format ('.mat').</p>
A discrete 3D mesh of the thorax of a newborn with region segmentation
<p># Newborn mesh</p> <p>## Description:<br> This dataset contains a labelled mesh of the thorax of a newborm premature human baby with the sectionning of different region of the body. The mesh is composed of 229363 nodes that are grouped into 1356069 tetrahedron elements.</p> <p>## Original data<br> The original DICOM (Digital Imaging and communications in medicine) images belong to the Cork University Hospital (CUH) data base. The hospital contacted the parents who approved the academic use of the anonymised CT scan of their child, under the ethical approval ECM 4 (gg) 07/03/18 from the Clinical Research Ethics Committee of the Cork Teaching Hospitals. The thoracic CT scan consist of a stack of 367 cross sectional slices, 0.625 mm thick. The area of each image is 512 x 512 pixels with a pixel size of 0.3555 mm. The neonate was born at 36 weeks gestational age with 3.58 kg weight.</p> <p>## Sectioning process<br> The segmentation of nine main organs (skin, fat, muscle, bone, cartilage, heart, artery, trachea and lung) was done using NIRFASTSlicer2.0. Each DICOM image exhibits the different organs in an especific Housenfield Unit (HU, quantitave scale of radiodensity); dense organs like bone have whitish color, in contrast with less dense organs which appereance is dark. A distinctive colour was assigned to each organ by direct drawing over the CT images one by one. The HU were used to define the boundaries between organs. The organs were considered homogeneous, therefore fine structures present in the human body were ignored.</p> <p>For our study, we subdivided the lungs into 3 different segments (inner, middle and external). On completion of segmentation, the thoracic CT was subdivided in the 11 regions.</p> <p>## Regions<br> The mesh has been divided in 11 different regions number from 1 to 11 in the following way:</p> <ul> <li>1 -> lung (external segment)</li> <li>2 -> bone</li> <li>3 -> cartilage</li> <li>4 -> heart</li> <li>5 -> muscle</li> <li>6 -> artery</li> <li>7 -> fat</li> <li>8 -> skin</li> <li>9 -> trachea</li> <li>10 -> lung (middle segment)</li> <li>11 -> lung (inner segment)</li> </ul> <p>## Data format<br> The mesh data is written in 3 different file format:</p> <ul> <li> mesh.mat: MATLAB .mat format that contains 5 variables: <ul> <li>dimension: Number of dimension in the mesh</li> <li>nodes: Matrix of size 229363 x 3 containing the (x,y,z) coordinates of each node in the mesh in milimetres (mm)</li> <li>elements: Matrix of size 1356096 x 4 containing the indices of the nodes corresponding to each element (tetrahedron) of the mesh</li> <li>region: Vector size 229363 x 1 indicating to which region the nodes belongs.</li> <li>bndvtx: Vector of size 229363 x 1 indicating whether the node is on the boundary of the mesh.</li> </ul> </li> <li>mesh.vtk: Mesh in the vtk Datafile Version 2.0 format. The only data field in the VTK file corresponds to the region variable in the .mat file.</li> <li>mesh_csv.zip: Mesh in a .csv format. The zip file contains 4 csv files containing the nodes list, the elements list, the region list and the bndvtx list.</li> </ul> <p>## Licence<br> The mesh is published under the creative common CC-BY licence. You are free to use this data as you wish, but please cite this dataset using its DOI for example.</p> <p>## Digital Object Identifier:<br> DOI: 10.5281/zenodo.4916863</p> <p>## Authors<br> Mesh sectionning: Andrea Pacheco<br> Data formating: Baptiste Jayet</p> <p>## Funding<br> The research leading to these results was funded by Science Foundation Ireland project no. SFI/15/RP/2828</p>
Distinct locomotor precursors in newborn babies
<p>Dataset from the manuscript:</p> <p><strong>Distinct locomotor precursors in newborn babies</strong></p> <p>Francesca Sylos-Labini, Valentina La Scaleia, Germana Cappellini, Adele Fabiano, Simonetta Picone, Elena S. Keshishian, Dmitry S. Zhvansky, Piermichele Paolillo, Irina A. Solopova, Andrea d’Avella, Yury Ivanenko, Francesco Lacquaniti</p> <p><strong>Proceedings of the National Academy of Sciences</strong> Apr 2020, 201920984; DOI: 10.1073/pnas.1920984117</p> <p>http://www.pnas.org/cgi/doi/10.1073/pnas.1920984117</p>
Next-generation sequencing of newborn screening genes: The accuracy of short-read mapping
<p>We examine the effect of high homology genomic regions on the mapping of genes related to newborn screening while taking different read lengths and patient's ethnic background into consideration.</p>
Typical Crossmodal Numerosity Perception in Preterm Newborns
<p>Columns are described within the .xlsx file </p>
Maternal Mediterranean diet in pregnancy and newborn DNA methylation: a meta-analysis in the PACE Consortium
<p>Higher adherence to the Mediterranean diet during pregnancy may be related to offspring cord blood DNA methylation. In a meta-analysis of epigenome-wide association studies (EWAS) in 2802 mother-child pairs from 5 cohorts we calculated the relative Mediterranean diet (rMED) score and an adjusted rMED excluding alcohol (rMEDp). rMEDp was associated with cord blood DNA methylation at cg23757341.</p>
RegulaRN Leitos Gerais newborn dataset
<table> <tbody> <tr> <td> <p>Database description:</p> </td> <td> <p>Collected data on the RegulaRN Leitos Gerais Newborn platform.</p> </td> <td> </td> </tr> <tr> <td> <p>Field</p> </td> <td> <p>Data type</p> </td> <td> <p>Description</p> </td> </tr> <tr> <td>tipo_leito_solicitado</td> <td>object</td> <td>Represents the type of bed selected by the regulation center for a patient. The results could be: ward and uci.</td> </tr> <tr> <td>tipo_leito_de_entrada</td> <td>object</td> <td>Represents the type of bed that the patient was allocated in the health unit (hospital). The results could be: ward and uci.</td> </tr> <tr> <td>tipo_leito_de_saída</td> <td>object</td> <td>Represents the type of bed the patient was in before the outcome.</td> </tr> <tr> <td>tempo_de_internação</td> <td>float64</td> <td>Represents the patient's length of stay</td> </tr> <tr> <td>hospital_prestador</td> <td>float64</td> <td>Represents the health unit that admits and accommodates the patient in the bed.</td> </tr> <tr> <td>cid</td> <td>float64</td> <td>Represents the International Classification of Diseases for bed regulation.</td> </tr> <tr> <td>desfecho</td> <td>object</td> <td>Represents the outcome of the patient in bed. Possible values for this field are: discharge and death.</td> </tr> </tbody> </table>
Acid blood gases including fetal hemoglobin from newborns, 2019-2023, General University Hospital in Prague
<p>This anonymized data is from the e-health database of the General University Hospital. It has blood gases that include the parameter of fetal hemoglobin percentage.</p> <p>The variables are as follows</p> <p>birthweight - birthweight</p> <p>EGA - gestational age in decimals</p> <p>day_of_life - postnatal day of life when the sample was taken</p> <p>blood_type - source of blood sample (a - arterial, c - capillary, v - venous)</p> <p>nr_of_preceding_trf - the amount of transfusions the patient has received preceding this blood sample</p> <p>hb - hemoglobin (g/l)</p> <p>F-hbf - fetal hemoglobin percentage</p> <p>pco2 - partial pressure of carbon dioxide (kPa)</p> <p>po2 - partial pressure of oxygen (kPa)</p> <p>so2 - oxygen saturation (ratio of oxyhemoglobin to total)</p> <p>pH - pH</p> <p>PO2 - partial pressure of oxygen (mmHg)</p> <p>estPaO2 - estimated partial pressure of oxygen at the given oxygen saturation according to the Severinghaus equation (mmHg)</p> <p>PaO2-extPO2 - difference between actual measured and estimated partial pressure of oxygen at the given oxygen saturation</p> <p>PCO2 - partial pressure of carbon dioxide (mmHg)</p>
Premature Newborns Treated With Less Invasive Surfactant Administration Under Heated Humidified High-flow
ClinicalTrials.gov study NCT06398691. IPD Sharing: YES. Countries: 1. Publications: 3.
Newborn Feeding and Infant Phenotype
ClinicalTrials.gov study NCT02033005. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Fluid Management in Transient Tachypnea of the Newborn
ClinicalTrials.gov study NCT01225029. IPD Sharing: Not stated. Countries: 1. Publications: 12.
A Study to Test the Pharmacokinetics, Efficacy, and Safety of Brivaracetam in Newborns With Repeated Electroencephalographic Seizures
ClinicalTrials.gov study NCT03325439. IPD Sharing: YES. Countries: 7. Publications: 1.
Neonatal Erythropoietin And Therapeutic Hypothermia Outcomes in Newborn Brain Injury (NEATO)
ClinicalTrials.gov study NCT01913340. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Listening Visits for Emotionally Distressed Mothers of Hospitalized Newborns
ClinicalTrials.gov study NCT03704948. IPD Sharing: NO. Countries: 1. Publications: 2.
Optimising Newborn Nutrition During Therapeutic Hypothermia.
ClinicalTrials.gov study NCT03278847. IPD Sharing: YES. Countries: 1. Publications: 4.
A Study To Evaluate Safety And Efficacy Of IV Sildenafil In The Treatment Of Neonates With Persistent Pulmonary Hypertension Of The Newborn
ClinicalTrials.gov study NCT01720524. IPD Sharing: YES. Countries: 12. Publications: 1.
A Prospective, Epidemiological Study to Assess the Disease Burden of Respiratory Syncytial Virus Associated, Suspected Lower Respiratory Tract Infections in Newborns, From 0 to 2 Years of Age and Risk
ClinicalTrials.gov study NCT01995175. IPD Sharing: NO. Countries: 8. Publications: 3.
Safety and Pharmacokinetics of Raltegravir in HIV-1-Exposed Newborn Infants at Risk of Acquiring HIV-1 Infection
ClinicalTrials.gov study NCT01780831. IPD Sharing: Not stated. Countries: 5. Publications: 1.
South-seq: Deoxyribonucleic Acid (DNA) Sequencing for Newborn Nurseries in the South
ClinicalTrials.gov study NCT03842995. IPD Sharing: NO. Countries: 1. Publications: 2.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.