Skip to main content
Powered by ShareScore

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.

3

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

3 results for “NQRS”

Learn how ShareScore rates datasets ↗
zenodo44/100

NQRS raw data to 10.1103/PhysRevX.8.021076 TABLE VII

<p>These are the raw data files to the NQR measurements presented in https://link.aps.org/doi/10.1103/PhysRevX.8.021076. T1 and T2 measurements were performed using the sequences explained in APPENDIX B. Fitting models (B1), (B2) and (B3) have been applied.</p> <p>The best-fit parameters for T1, T2 and FWHM can be found in APPENDIX C, TABLE VI.</p> <p>The names of the files follow the labelling: sampleNr_transitionNr_temperture_sequence type.txt</p> <p>the organization of the txt-files is as follows:</p> <p><strong>header: </strong>file source, number of frequency-points (Starting Point, End Point) and number of records (Starting 2D Record, Ending Record) = number of parameter sweeps (e.g. inversion time, or echo time)</p> <p><strong>Data set</strong>: records stacke on top of each other:</p> <p><strong>&nbsp;&nbsp;&nbsp;&nbsp; real part [a.u.] / imaginary part [a.u.] / frequency shift [kHz]</strong></p> <p>the frequency is given in difference from the central frequency (Obeserve Freq.), which can be found in the footer</p> <p><strong>footer</strong>: contains information on the used sequence and its paramteres. eg.g the &quot;Obeserve Freq&quot; of the spectrometer during the sequence, (excitiation and detection frequency)</p> <p>also: filter bandwidth, dwell time, delay time, pulse length ....</p> <p>the paramter &quot;step size&quot; of the sweep parameter (echo time or inversion time, respectively) is available on request: christian.goesweiner@tugraz.at</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Oct 2018View details →
zenodo40/100

NQRS raw data to 10.1103/PhysRevX.8.021076 TABLE VIII

<p>These are the raw data files to the NQR measurements presented in https://link.aps.org/doi/10.1103/PhysRevX.8.021076. Temperature sweep measurements were performed using the sequences explained in APPENDIX B. Fitting models (B3) and (B4) have been applied.</p> <p>The best-fit parameters for the linear temperature coefficnet C37 can be found in APPENDIX C, TABLE VII.</p> <p>The names of the files follow the labelling: sampleNr_transitionNr_temperature_sweep.txt</p> <p>the organization of the txt-files is as follows:</p> <p><strong>header: </strong>file source, number of frequency-points (Starting Point, End Point) and number of records (Starting 2D Record, Ending Record) = number of parameter sweeps (e.g. temperature steps)</p> <p><strong>Data set</strong>: records stacke on top of each other:</p> <p><strong>&nbsp;&nbsp;&nbsp;&nbsp; real part [a.u.] / imaginary part [a.u.] / frequency shift [kHz]</strong></p> <p>the frequency is given in difference from the central frequency (Obeserve Freq.), which can be found in the footer</p> <p><strong>footer</strong>: contains information on the used sequence and its paramteres. eg.g the &quot;Obeserve Freq&quot; of the spectrometer during the sequence, (excitiation and detection frequency). Also under the section &quot;Comment&quot; the used temperature steps can be found.</p> <p>also: filter bandwidth, dwell time, delay time, pulse length ....</p> <p>if anything, just ask: christian.goesweiner@tugraz.at</p>

opencc-by-4.0Oct 2018View details →
zenodo32/100

NQRS raw data to https://doi.org/10.1039/C8CP03848A TABLE 1

<p>These are the raw data files to the NQR measurements presented in https://doi.org/10.1039/C8CP03848A TABLE 1. T2 measurements were performed using spin echo sequence with variable echo time as explained section 3, Experimental details. T2 has been found by fitting a monoexponential decay.</p> <p>The best-fit parameters for R2 = 1/T2 and FWHM can be found Table 1 in the column &quot;experimental relaxation rate&quot;</p> <p>The names of the files follow the labelling: SampleName_transitionNr_temperture_sequence type.txt</p> <p>the organization of the txt-files is as follows:</p> <p><strong>header: </strong>file source, number of frequency-points (Starting Point, End Point) and number of records (Starting 2D Record, Ending Record) = number of parameter sweeps (i.e. echo time)</p> <p><strong>Data set</strong>: records stacke on top of each other:</p> <p><strong>&nbsp;&nbsp;&nbsp;&nbsp; real part [a.u.] / imaginary part [a.u.] / frequency shift [kHz]</strong></p> <p>the frequency is given in difference from the central frequency (Obeserve Freq.), which can be found in the footer</p> <p><strong>footer</strong>: contains information on the used sequence and its paramteres. eg.g the &quot;Obeserve Freq&quot; of the spectrometer during the sequence, (excitiation and detection frequency)</p> <p>also: filter bandwidth, dwell time, delay time, pulse length ....</p> <p>the paramter &quot;step size&quot; of the sweep parameter (echo time or inversion time, respectively) is available on request: christian.goesweiner@tugraz.at</p>

opencc-by-nc-4.0Oct 2018View details →

ScienceDex guides

Understand access before you commit

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