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1,938 results for “Resonances”

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zenodo32/100

Data for: Ab-initio Auger spectrum of the ultrafast dissociating $2p^{-1}_{3/2}\sigs$ resonance in HCl

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
zenodo32/100

A comprehensive dataset of magnetic resonance enterography images with bowel segment annotations

<p>Inflammatory bowel disease (IBD) is a recurrent bowel disease that usually requires magnetic resonance enterography (MRE) for diagnosis and monitoring. However, recognition of bowel segments from MRE images by a radiologist is challenging and time-consuming. Deep learning-based medical image segmentation has shown the potential to reduce manual effort and provide automated tools to assist in disease management; however, it requires a large-scale fine<span>-</span>annotated dataset for training. To address this gap, we collected MRE data, including HASTE(half-Fourier acquisition single-shot turbo spin-echo) sequences with coronal orientation, from 114 patients&nbsp;with IBD. The bowel images per patient were contoured and annotated into ten segments (stomach, duodenum, small intestine, appendix, cecum, ascending colon, transverse colon, descending colon, sigmoid colon, and rectum), with fine pixel-level annotations labeled by experienced radiologists. Furthermore, we <span>validated</span> the efficiency of several state-of-the-art segmentation methods&nbsp;using this dataset. This study established a high-quality, publicly available whole-bowel segment MR dataset with benchmark results and laid the groundwork for AI research&nbsp;on IBD.</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Quantitative CBF values across different off-resonance correction methods used in 7T PCASL

<p>The data correspond to the underlying plots depicted in Figure 7 of the paper titled 'Dynamic B0 field shimming for improving pseudo-continuous arterial spin labeling at 7 Tesla'."</p>

opengpl-3.0-or-laterOct 2024View details →
zenodo32/100

Simulated and Experimental Magnetic Resonance Data of Fentanyl HCl

<p><span>This data consists of simulations and experimental measurements of solid-state nuclear magnetic resonance (SSNMR) spectroscopy, fast-field cycling (FFC) NMR spectroscopy, and nuclear quadrupole resonance (NQR) spectroscopy of fentanyl HCl. <sup>14</sup>N and <sup>35</sup>Cl SSNMR data are included as the topspin binary format. <sup>1</sup>H FFC NMR data are included as the sdf format. <sup>14</sup>N NQR data of both NQR spectra are included as the tnt format. Simulated <sup>14</sup>N and <sup>35</sup>Cl SSNMR data from QUEST are included in an exported topspin binary format. Simulated <sup>14</sup>N SSNMR data from SIMPSON is included in the SIMPSON fid format. Simulated Zeeman-perturbed NQR from SPINACH is included as a csv. In all cases post-processed data are also included in the form of csv files for easy viewing by readers. Each csv typically has the first column as a vector of frequencies and the second column as the processed NMR data.</span></p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Raw data for Exploration of Dielectric Resonator Geometries for Microwave Plasma

<p>This zip archive includes the Ansys Electronics Desktop project files for my simulations, as well as the .csv files containing the data from which all of my figures were made.</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Supporting information: "Spin-polarization and resonant states in electronic conduction through a correlated magnetic layer"

<p>The supporting information contains the computational details and numerical data for the article. The<br> directory &lsquo;scripts&rsquo; of the supplementary material contains the Python code used to create Figures 2&ndash;6.<br> The code can be used to exactly reproduce the figures.</p> <p><br> Figures 5 and 6 show interacting data, which requires a computationally involved self-consistent dynamical mean-field theory (DMFT) calculation. The results of this calculation are in the directory &lsquo;DMFT_data&rsquo;,<br> the subdirectories are named according to the parameters, where &lsquo;tl&rsquo; is $t_L$, &lsquo;tc&rsquo; is $t_{01}$, and &lsquo;U&rsquo; is $U_{0}$.<br> The data is saved as HDF5 files. They can be opened conveniently using Python using the method<br> &lsquo;open_dataset&rsquo; given in &lsquo;scripts/dataio.py&rsquo;.</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2021View details →
zenodo32/100

Data repository accompanying "Rapid microwave-only characterization and readout of quantum dots using multiplexed gigahertz-frequency resonators"

<p>Data repository including raw data and analysis scripts used for generating the figures appearing in the paper &#39;Rapid microwave-only characterization and readout of quantum dots using multiplexed gigahertz-frequency resonators&#39;</p>

opencc-by-4.0Jun 2021View details →
zenodo32/100

FIGURES 3–6 in 1H, 13C and 15N resonance assignments of telomeric repeat-binding domain ofArabidopsis thaliana

FIGURES 3–6. Nilotanypus polycanthus sp. n., male. 3. Abdomen. 4. Wing. 5. Tibial spur and pseudospurs on fore leg. 6. Hypopygium, ventral and dorsal view.

opennotspecifiedMay 2006View details →
zenodo32/100

Magnetic resonance imaging in the assessment of pancreatic cancer with quantitative parameter extraction by means of dynamic contrast-enhanced magnetic resonance imaging, diffusion kurtosis imaging and intravoxel incoherent motion diffusion-weighted imaging

<p>We uploaded&nbsp;IVIM and DKI parameters values of&nbsp;included patients in the manuscript:&nbsp;Fusco, Roberta, Adele Piccirillo, Mario Sansone, Vincenza Granata, Paolo Vallone, Maria L. Barretta, Teresa Petrosino, Claudio Siani, Raimondo Di Giacomo, Maurizio Di Bonito, Gerardo Botti, and Antonella Petrillo. 2021. &quot;Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions&quot; Applied Sciences 11, no. 4: 1880. https://doi.org/10.3390/app11041880</p>

opencc-by-4.0May 2020View details →
zenodo32/100

Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions

<p>We uploaded the&nbsp;15 morphological features of&nbsp;&nbsp;91 samples of 85 patients&nbsp;analyzed in the manuscript:&nbsp;Fusco, Roberta, Adele Piccirillo, Mario Sansone, Vincenza Granata, Paolo Vallone, Maria L. Barretta, Teresa Petrosino, Claudio Siani, Raimondo Di Giacomo, Maurizio Di Bonito, Gerardo Botti, and Antonella Petrillo. 2021. &quot;Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions&quot; Applied Sciences 11, no. 4: 1880. https://doi.org/10.3390/app11041880</p>

opencc-by-4.0Feb 2021View details →
zenodo32/100

Blood oxygenation level dependent magnetic resonance imaging and diffusion weighted MRI imaging for benign and malignant breast cancer discrimination

<p>We uploaded the daset releatet t the manuscript: Fusco R, Granata V, Pariante P, Cerciello V, Siani C, Di Bonito M, Valentino M, Sansone M, Botti G, Petrillo A. Blood oxygenation level dependent magnetic resonance imaging and diffusion weighted MRI imaging for benign and malignant breast cancer discrimination. Magn Reson Imaging. 2021 Jan;75:51-59. doi: 10.1016/j.mri.2020.10.008. Epub 2020 Oct 17. PMID: 33080334.</p>

opencc-by-4.0Oct 2020View details →
zenodo32/100

Metastatic endo and perineural involvement of the ulnar nerve from malignant melanoma: ultrasound (US) and magnetic resonance imaging (MRI) findings

<p>We uploaded the images of the enrolled patient in the manuscript:&nbsp;Simonetti I, Sandomenico F, Rocco MP, Fusco R, Setola SV, Granata V, Iasevoli DM, Ascierto PA, Grassi R, Petrillo A. Metastatic endo and perineural involvement of the ulnar nerve from malignant melanoma: ultrasound (US) and magnetic resonance imaging (MRI) findings. Eur Rev Med Pharmacol Sci. 2021 May;25(9):3478-3482. doi: 10.26355/eurrev_202105_25829. PMID: 34002821.</p>

opencc-by-4.0Apr 2021View details →
zenodo32/100

Codes and data regarding "Temporal dissipative structures in optical Kerr resonators with transient loss fluctuation"

<p>Here we upload codes and figure data relate to the article &quot;Temporal dissipative structures in optical Kerr resonators with transient loss fluctuation&quot; that was published on Optics Express (<a href="https://doi.org/10.1364/OE.439212">https://doi.org/10.1364/OE.439212</a>)</p> <p>Please note that the codes have been tested using Matlab in the version of 2019a.</p> <p>The &quot;.opj&quot; and &quot;.opju&quot; files in the folder &quot;Figure_data&quot; can be opened via <a href="https://www.originlab.com/viewer/">the Origin viewer</a> (a free app published by Originlab)</p>

opencc-by-4.0Oct 2021View details →
zenodo32/100

Graph data for COMSOL simulations of the main properties of the whispering gallery mode resonators for bio-sensing applications

<p>COMSOL simulations data for Whispering gallery mode resonators. Graph data for publication COMSOL simulations of the main properties of the whispering gallery mode resonators for bio-sensing applications. Contain prism coupling with coupling conditions and tapered fiber width (Fig. 2), various &quot;items&quot; attaching to the surface (Fig. 3), and&nbsp; surface roughness with and without coating (Fig. 4).</p>

opencc-by-4.0Nov 2022View details →
zenodo32/100

Resonance at the front of lightning impulse voltage waveforms caused by the load capacitor

<p>On the front of impulse voltage waveform, the voltage usually increases up to thousands of kV within one microsecond, and the frequency range covers up to several megahertz. The capacitor &nbsp;in the high voltage arm is usually from 400 &zwj;pF to 1000&zwj; pF. We calculated the impedance of different capacitors in damped capacitive divider at the frequency range from 100&zwj; kHz to 1000&zwj; kHz. As Fig. 3 shows, the impedance ranges from 160&zwj; ohm&nbsp;to 4000&zwj; ohm.</p>

opencc-by-4.0Dec 2020View details →
zenodo32/100

Data supplement for "Nonreciprocity induces resonances in two-field Cahn-Hilliard model".

<p>Mathematica notebooks that support the weakly nonlinear analysis and the codes that create all figures in &quot;Nonreciprocity induces resonances in two-field Cahn-Hilliard model&quot;.</p> <p>&quot;.</p>

opencc-by-4.0Jan 2023View details →
zenodo32/100

Experimental data of Magnetic resonance imaging of analog lava flows: Velocity and rheology

<p>Experimental data of&nbsp;two- and three-phases suspension&nbsp;analog lava flow experiments to accompany &quot;Magnetic resonance imaging of analog lava flows: Velocity and rheology&quot;</p>

opencc-by-4.0Jan 2023View details →
zenodo32/100

Data for "Water dynamics in highly concentrated protein systems – insight from Nuclear Magnetic Resonance relaxometry

<p>Raw data (<sup>1</sup>H magnetization&nbsp;versus time)&nbsp;for &quot;Water dynamics in highly concentrated protein systems &ndash; insight from Nuclear Magnetic Resonance relaxometry&quot;.</p> <p>The files include information about concentration&nbsp;and temperature.</p> <p><em>Int. J. Mol. Sci.</em>&nbsp;<strong>2023</strong>,&nbsp;<em>24</em>(4), 4093; https://doi.org/10.3390/ijms24044093</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2023View details →
zenodo32/100

Data for "Electron cooling in graphene enhanced by plasmon-hydron resonance"

<p>This is the data associated with the paper&nbsp;&quot;Electron cooling in graphene enhanced by plasmon-hydron resonance&quot; available on ArXiv at&nbsp;https://arxiv.org/abs/2301.05095.&nbsp;</p>

opencc-by-4.0Mar 2023View details →
zenodo32/100

Excessive checking in Obsessive Compulsive Disorder: neurochemical correlates revealed by 7-Tesla magnetic resonance spectroscopy

<p>This link contains datasets analysed in the article titled &quot;Excessive checking in Obsessive Compulsive Disorder: neurochemical correlates revealed by&nbsp;7 Tesla magnetic resonance spectroscopy&quot;. The anonymised&nbsp;behavioural, clinical and MRS data are shared here. Whereas the structural data which could not be anonymised can be requested <a href="https://doi.org/10.5281/zenodo.7832207">here</a> with restricted access.</p>

opencc-by-4.0Apr 2023View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record