Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
136
datasets available to search
ShareScore release 0.9.0
Dataset results
136 results for “hyperpolarization”
Endothelial Hyperpolarization in Humans
ClinicalTrials.gov study NCT00166166. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Direct observation of hyperpolarization breaking through the spin diffusion barrier
Open the record for dataset details and reuse information.
Behavioral control by depolarized and hyperpolarized states of an integrating neuron
Open the record for dataset details and reuse information.
The HCN domain couples voltage gating and cAMP response in hyperpolarization-activated cyclic nucleotide-gated channels
Hyperpolarization-activated cyclic nucleotide-gated (HCN) channels control spontaneous electrical activity in heart and brain. Binding of cAMP to the cyclic nucleotide-binding domain (CNBD) facilitates channel opening by relieving a tonic inhibition exerted by the CNBD. Despite high resolution structures of the HCN1 channel in the cAMP bound and unbound states, the structural mechanism coupling ligand binding to channel gating is unknown. Here we show that the recently identified helical HCN-domain (HCND) mechanically couples the CNBD and channel voltage sensing domain (VSD), possibly acting as a sliding crank that converts the planar rotational movement of the CNBD into a rotational upward displacement of the VSD. This mode of operation and its impact on channel gating are confirmed by computational and experimental data showing that disruption of critical contacts between the three domains affects cAMP- and voltage-dependent gating in three HCN isoforms.
Dataset : Micromolar concentration affinity study on a benchtop NMR spectrometer with secondary 13C labeled hyperpolarized ligands
<p><strong>Data of the dDNP decays for 13C drug screening</strong></p> <p><strong>Drug discovery Data recap</strong></p> <p> </p> <p><strong>Samples</strong></p> <p>Sample 2 : 44mM of Ac-L30 (N-Acetyl [1-<sup>13</sup>C]-6 amino-2-naphthoic acid) in 60/30/10 DMSO/D2O/H2O with 25 mM Tempol</p> <p>Sample 4 (in fact sample 3 in Topspin and according to OC figures) : 44mM of Ac-L08 (N-Acetyl [1-<sup>13</sup>C]-glycine) in 60/30/10 DMSO/D2O/H2O with 25 mM Tempol</p> <p> </p> <p><strong>Dissolution Ac-L30 </strong></p> <p><em>Sample : 600 µM Sample 2 without and with 2 µM HSA</em></p> <p><em>Topspin Folder : 20210414-DrugScreening</em></p> <ul> <li>Dissolution fragment : 1</li> <ul> <li>D1 5 sec</li> <li>Int between 167.2 - 168.3 ppm</li> <li>General model:</li> <li> val(t) = a*(exp(-(t)/T)+d)</li> <li> Coefficients (with 95% confidence bounds):</li> <li> T = 11.88 (10.84, 12.91)</li> <li> a = 1.017 (0.967, 1.066)</li> <li> d = 0.0005482 (-0.006744, 0.007841)</li> </ul> <li>TE : 2</li> <ul> <li>polarization to be computed</li> </ul> </ul> <ul> <li>Dissolution fragment + HSA : 3</li> <ul> <li>D1 5 sec</li> <li>Integration between 167.9 - 168.1 ppm</li> <li>General model:</li> <li> val(t) = a*(exp(-(t)/T)+d)</li> <li> Coefficients (with 95% confidence bounds):</li> <li> T = 6.339 (5.57, 7.109)</li> <li> a = 1.027 (0.9665, 1.088)</li> <li> d = -0.007015 (-0.01521, 0.001185)</li> </ul> <li>TE : 4</li> <ul> <li>polarization to be computed</li> </ul> </ul> <ul> <ul> <li>Code used to plot : Ac-L30.m</li> </ul> </ul> <p> </p> <p><strong>Dissolution Ac-L30 </strong></p> <p><em>Sample : 600 µM Sample 4 without and with 2 µM HSA</em></p> <p><em>Topspin Folder : 20210414-DrugScreening</em></p> <ul> <li>Dissolution fragment : 5</li> <ul> <li>D1 2,5 sec</li> <li>Int between 168.6 - 169 ppm</li> <li>General model:</li> <li> val(t) = a*(exp(-(t)/T)+d)</li> <li> Coefficients (with 95% confidence bounds):</li> <li> T = 29.25 (29.05, 29.46)</li> <li> a = 1.019 (1.015, 1.023)</li> <li> d = -0.001389 (-0.002239, -0.0005388)</li> </ul> <li>TE : 6</li> <ul> <li>polarization to be computed</li> </ul> </ul> <ul> <li>Dissolution fragment + HSA : 11</li> <ul> <li>D1 2,5 sec</li> <li>Integration between 168.6 - 169 ppm</li> <li>General model:</li> <li> val(t) = a*(exp(-(t)/T)+d)</li> <li> Coefficients (with 95% confidence bounds):</li> <li> T = 29.73 (29.57, 29.88)</li> <li> a = 0.9938 (0.9905, 0.9971)</li> <li> d = -0.0003466 (-0.0007762, 8.314e-05)</li> </ul> <li>TE : 12</li> <ul> <li>polarization to be computed</li> </ul> </ul> <ul> <ul> <li>Code used to plot : Ac-L08.m</li> </ul> </ul>
Sensitive, Efficient and Portable Analysis of Molecular Exchange Processes by Hyperpolarized Ultrafast NMR
<p>Dataset for manuscript:</p> <p><a href="https://doi.org/10.1002/anie.202203957"><strong>Sensitive, Efficient and Portable Analysis of Molecular Exchange Processes by Hyperpolarized Ultrafast NMR </strong></a></p> <p> </p> <p>The uploaded archive contains:</p> <p>1. File Analysis.ipynb: Jupyter notebook with analysis and figure generation presented in the article<br> 2. UF-DEXSY experiment with mixing time 10ms: DEXSY/25<br> 3. UF-DEXSY experiment with mixing time 30ms: DEXSY/26<br> 4. UF-DEXSY experiment with mixing time 100ms: DEXSY/28<br> 5. Reference CPMG: CPMG/16<br> 6. Coil profile with yeast sample: UFProfile/4<br> 7. Coil profile with dopped water sample: UFProfile/101</p> <p> </p>
Raw Data for: Efficient Parahydrogen Induced 13C Hyperpolarization on a Microfluidic Device
<p>Raw data supporting publication entitled "Efficient Parahydrogen Induced 13C Hyperpolarization on a Microfluidic Device". Data have been arranged according to the figures in the publication. </p>
Full optimization of DNP on a 1 T benchtop polarizer with hyperpolarizing solids
<p>The data folder contains the raw NMR and EPR data used in the manuscript to benchmark the DNP performance of different hyperpolarizing solids containing various nitroxide radical loadings compared against the DNP performance of varying nitroxide concentrations (10-100 mM) solvated in a glassy frozen solution. </p> <p>The NMR data is formatted in a pseudo-3d data Bruker format. The EPR data is formated in a text file.</p> <p>The code folder contains the script to process the pseudo-3d data to extract the DNP parameters. The code folder also contains the script to estimate the lineshape of the DNP spectra in the solid effect and cross effect case using the EPR data as input. </p>
Data for "Light-Induced 1H NMR Hyperpolarization in Solids at 9.4 and 21.1 T"
<p>NMR data and photo-CIDNP-enhanced NMR data for "Light-Induced 1H NMR Hyperpolarization in Solids at 9.4 and 21.1 T".</p> <p>All data are provided in Bruker format. </p>
Increasing the sensitivity of hyperpolarized [15N2]urea detection by serial transfer of polarization to spin-coupled protons
<p>This upload contains the raw data, MATLAB scripts and Mathematica notebooks used for the publication.</p> <p>Figure 2, 3, 7 and 8 where generated with the Mathematica notebooks in the folder Mathematica_Notebooks.</p> <p>Figure 4 was generated with the raw data in NOE_data/20190821 and processed with the script NOE_data/20190821/H1to15NNOEin15N2urea.m</p> <p>Figure 5a is based on data in Polarization_Transfer_Data/spectral/timecourse/_fk_BHINDER_flipback_15Nto1H_hyp_20180609_01.fid processed with Polarization_Transfer_Data/spectral/timecourse/_fk_BHINDER_flipback_15Nto1H_hyp_20180609_01.fid/timecourse.m</p> <p>Figure 5b is based on Polarization_Transfer_Data/imaging/_fk_BHINDER_flipback_EPIP_hyp_10perc_20180531_01.img . From this raw data image2 - image60 are acquired after polarisation transfer. Image1 is a direct acquisition of the water resonance .</p> <p>The brightness and contrast of the images was adjusted and a montage of images 2 to 9 was created with (Fiji <a href="https://imagej.net/software/fiji/">https://imagej.net/software/fiji/</a>) .</p> <p>Figure 6 is based on data in Polarization_Transfer_Data/spectral/interleaved processed with Polarization_Transfer_Data/spectral/interleaved/comparision.m</p> <p>The script Pulse_Generation/createIRRUPT.m was used to generate the adiabatic pulses.</p>
Data for: Inflammation differentially controls transport of depolarizing Nav versus hyperpolarizing Kv channels to drive rat nociceptor activity
<p>Inflammation causes pain by shifting the balance of ionic currents in nociceptors towards depolarization, leading to hyperexcitability. The ensemble of ion channels within the plasma membrane is regulated by processes including biogenesis, transport, and degradation. Thus, alterations in ion channel trafficking may influence excitability. Sodium channel Na<sub>V</sub>1.7 and potassium channel K<sub>V</sub>7.2 promote and oppose excitability in nociceptors, respectively. We used live-cell imaging to investigate mechanisms by which inflammatory mediators modulate the abundance of these channels at axonal surfaces through transcription, vesicular loading, axonal transport, exocytosis, and endocytosis. Inflammatory mediators induced a Na<sub>V</sub>1.7-dependent increase in activity in distal axons. Further, inflammation increased the abundance of Na<sub>V</sub>1.7, but not of K<sub>V</sub>7.2, at axonal surfaces by selectively increasing channel loading into anterograde transport vesicles and insertion at the membrane, without affecting retrograde transport. These results uncover a cell-biological mechanism for inflammatory pain and suggest Na<sub>V</sub>1.7 trafficking as a potential therapeutic target.</p>
Correlation between LDH/PDH activities ratio and tissue pH in the perfused mouse heart – a potential non-invasive indicator of cardiac pH provided by hyperpolarized magnetic resonance
<p>Primary data for DOI: 10.1002/nbm.4444</p> <p>NMR in Biomedicine. 2021;34:e4444.</p> <p>Title: Correlation between LDH/PDH activities ratio and tissue pH in the perfused mouse heart – a potential non-invasive indicator of cardiac pH provided by hyperpolarized magnetic resonance</p> <p>Authors: David Shaul, Assad Azar, Gal Sapir, Sivaranjan Uppala, Atara Nardi-Schreiber, Ayelet Gamliel, Jacob Sosna, J. Moshe Gomori, and Rachel Katz-Brull</p> <p> </p> <p>These primary datasets contain data presented in the above publication and consist of:</p> <p>1. <sup>31</sup>P-NMR spectra</p> <p>2. Hyperpolarized <sup>13</sup>C-NMR spectra</p> <p>Please consult the Archive Guide.</p>
Endothelial Derived Hyperpolarization Factor and Vascular Control
ClinicalTrials.gov study NCT05176379. IPD Sharing: NO. Countries: 1. Publications: 0.
Hyperpolarized Imaging for New Treatments
ClinicalTrials.gov study NCT04259970. IPD Sharing: NO. Countries: 2. Publications: 1.
Hyperpolarized 129Xe MRI for Imaging Pulmonary Function
ClinicalTrials.gov study NCT01280994. IPD Sharing: Not stated. Countries: 1. Publications: 13.
Hyperpolarized MRSI in Ischemic Heart Disease: A Metabolic Investigation of the Heart Muscle
ClinicalTrials.gov study NCT06054516. IPD Sharing: NO. Countries: 1. Publications: 8.
Hyperpolarized Magnetic Resonance Imaging in Asthma Pre- and Post-Bronchial Thermoplasty
ClinicalTrials.gov study NCT02263794. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Using Hyperpolarized [1-13C]Pyruvate to Detect Cardiotoxicity
ClinicalTrials.gov study NCT03685175. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluating the Effect of Benralizumab in Severe, Poorly-controlled Eosinophilic Asthma Using Inhaled Hyperpolarized 129-Xenon MRI
ClinicalTrials.gov study NCT03733535. IPD Sharing: NO. Countries: 1. Publications: 2.
Developing Optimal Parameters for Hyperpolarized Noble Gas and Inert Fluorinated Gas MRI of Lung Disorders
ClinicalTrials.gov study NCT02748798. IPD Sharing: Not stated. Countries: 1. Publications: 3.
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.