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12 results for “NIFTI”
NIfTI-MRS Example Data
<p>Example data accompanying the <a href="https://doi.org/10.5281/zenodo.5084789">data format specification for the NIfTI-MRS file format</a>. NIfTI-MRS is a NIfTI derived format for storing magnetic resonance spectroscopy (MRS) and spectroscopic imaging (MRSI) data.</p> <p>Example data is generated from code at the <a href="https://github.com/wexeee/mrs_nifti_standard">NIfTI-MRS GitHub repository</a>.</p> <p>Each file is named example_{n}.nii.gz and corresponds to the following list:</p> <ol> <li>Manually converted SVS - Water suppressed STEAM</li> <li>spec2nii converted SVS - Water suppressed STEAM</li> <li>spec2nii converted edited SVS - MEGA-PRESS</li> <li>Manually converted 31P FID-MRSI (CSI sequence)</li> <li>spec2nii converted sLASER-localised 1H MRSI<strong>s</strong></li> <li>j-difference editing example (MEGA-PRESS)</li> <li>Variable echo time: full representation</li> <li>Variable echo time: short representation</li> <li>Multiple dynamic parameters "Fingerprinting"</li> <li>FSL-MRS processed MEGA-PRESS spectrum</li> </ol>
HCP-YA Tractography Atlas (NIFTI Files)
<p>Yeh, F. C., Panesar, S., Fernandes, D., Meola, A., Yoshino, M., Fernandez-Miranda, J. C., ... & Verstynen, T. (2018). Population-averaged atlas of the macroscale human structural connectome and its network topology. NeuroImage, 178, 57-68.</p>
Human Population-Averaged dMRI Templates (FIB Files, NIFTI Files)
<p>The templates were constructed by DSI Studio using q-space diffeomorphic reconstruction.</p> <p>Methods and Data Source: https://brain.labsolver.org/hcp_template.html</p> <p> </p> <p> </p>
ismrmrd_to_nifti v0.1 Dataset
<p>A MRI dataset made on a Siemens AREA with different views and read directions and rotations to test ismrmrd_to_nifti conversion algorithm available at https://github.com/aTrotier/ismrmrd_to_nifti.</p>
NIfTI-MRS example data (raw data)
<p>Raw data required to generate the example data associated with the NIfTI-MRS data standard.</p> <p>The data standard can be found on Zenodo (https://doi.org/10.5281/zenodo.5084788).</p> <p>The generated example data is also on Zenodo (https://doi.org/10.5281/zenodo.5085448).</p> <p>Example data generation code is available on Github (https://github.com/wexeee/mrs_nifti_standard/tree/master/example_data)</p> <p> </p>
Source data including NIfTI images
<p>The file src_data_conat.xlsx contains all available source data from the figures and tables. The sheets are named after the figure/table the data were used for. The sheet figs_supp_PL contains the data for Figs. S1, S13, S14, S15, S16 and Tab. S4.</p> <p> </p> <p>The zipped folder src_data_images.zip contains the (group-level) NIfTI images in MNI space shown in different figures in both the main text and supplement. Their names are prefixed with the number of the figure. Tabs. 2 and S3 were created based on the files 2B_w_CR.nii.gz and 3_CR_sig.nii.gz.</p> <p> </p> <p>The file data_validation.xlsx contains all data necessary to reproduce both the cross-sectional and longitudinal validation analyses (see subsection "CR score moderates effects of pathology on cognitive performance, also longitudinally" in the results section of the paper).</p>
Nifty spot, futures and options one-minute data from 2017 to 2020
<p>This dataset consists of one-minute trade data of Nifty spot, futures and options for 2017 to 2020. Options data are organized as: Opt type, strike price, trade dt, trade time, Open, High, Low, Close and volume. Futures data are organized as Nifty_F1, trade date, trade time, Open, High, Low, Close and volume. The yearly options folders are organized into monthly folders. The monthly folders end with the expiration date for that month. Each monthly folder contains separate files for the strike prices traded till the expiration date of that month. For instance, the Nifty11200CE spreadsheet in the December 2019 folder has the one-minute OHLC data for the 11200 call from 23-Oct-2019 till the expiration date of 26-Dec-2019.</p>
TCGA-HNSC NIFTI Test Data
<p>This data is part of the TCGA-HNSC dataset provided by The Cancer Imaging Archive (TCIA) and is<br> released under the Creative Commons Attribution 3.0 Unported License.</p> <p>Citations & Data Usage Policy <br> Users of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution <br> 3.0 Unported License under which it has been published. Attribution should include references to <br> the following citations:</p> <p>TCGA Attribution<br> "The results <published or shown> here are in whole or part based upon data generated by the TCGA <br> Research Network: http://cancergenome.nih.gov/."</p> <p>Data Citation<br> Zuley, M. L., Jarosz, R., Kirk, S., Lee, Y., Colen, R., Garcia, K., … Aredes, N. D. (2016). <br> Radiology Data from The Cancer Genome Atlas Head-Neck Squamous Cell Carcinoma [TCGA-HNSC] <br> collection. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2016.LXKQ47MS</p> <p>TCIA Citation<br> Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, <br> Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a <br> Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, <br> pp 1045-1057.</p>
Dataset: First Trust India NIFTY 50 Equal Weight ETF (NFTY) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Nifty Feeding Cup Versus Generic Medicine Cup Preterm Infants Who Have Difficulty Breastfeeding
ClinicalTrials.gov study NCT03280381. IPD Sharing: NO. Countries: 1. Publications: 0.
Non-Interventional F-Two Isoprostane Trial (NIFTI)
ClinicalTrials.gov study NCT00505908. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Supplementary MRSI Data for "High-Resolution Metabolic Imaging of High-Grade Gliomas using 7T-CRT-FID-MRSI" - NIFTI Format FIXED
<p>Intended as supplementary data to the manuscript "High-Resolution Metabolic Imaging of High-Grade Gliomas using 7T-CRT-FID-MRSI"</p> <p>Authors:<br> Gilbert Hangel, Cornelius Cadrien, Philipp Lazen, Julia Furtner, Alexandra Lipka, Eva Hečková, Lukas Hingerl, Stanislav Motyka, Stephan Gruber, Bernhard Strasser, Barbara Kiesel, Mario Mischkulnig, Matthias Preusser, Thomas Roetzer, Adelheid Wöhrer, Georg Widhalm, Karl Rössler, Siegfried Trattnig and Wolfgang Bogner</p> <p>###################################################<br> MRSI Maps from the Vienna 7T scanner in MINC format<br> ###################################################</p> <p>Contact: wolfgang.bogner@meduniwien.ac.at , gilbert.hangel@meduniwien.ac.at<br> https://hfmr.meduniwien.ac.at/</p> <p>For use with NIFTI-displaying software.</p> <p>MRSI method published as Hingerl et al 2020, doi: 10.1097/RLI.0000000000000626</p> <p>Patient 1:<br> Glioblastoma WHO Grade 4, with IDH1 mutation, male<br> Patient 2:<br> Glioblastoma WHO Grade 4, with IDH1 mutation, male<br> (Same numbers as in the manuscript)</p>
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
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.