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195
datasets available to search
ShareScore release 0.7.1
Dataset results
195 results for “long-term monitoring”
A Prospective Total Joint Surgery Registry to Monitor Short- and Long-Term Clinical Outcomes
ClinicalTrials.gov study NCT06687109. IPD Sharing: NO. Countries: 1. Publications: 0.
Placebo Optimization of the Presurgical Long-term Video-EEG Monitoring
ClinicalTrials.gov study NCT06383689. IPD Sharing: NO. Countries: 1. Publications: 0.
Strengthening Hepatitis B Screening, Linkage to Care and Long-Term Monitoring in Phichit Province, Thailand: A Birth Bohort Approach
ClinicalTrials.gov study NCT07258251. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Impact of Remote Vital Signs Monitoring in People Using Long-term Oxygen Therapy
ClinicalTrials.gov study NCT06882265. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Sharing Digital Self-Monitoring Data With Others to Enhance Long-Term Weight Loss
ClinicalTrials.gov study NCT05180448. IPD Sharing: NO. Countries: 1. Publications: 0.
Long-Term Follow-Up Safety Monitoring of Patients Dosed in the First-in-Man Phase I/II Study of TT-034.
ClinicalTrials.gov study NCT02315638. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Elkhorn Slough Estuarine Research Reserve long-term crab monitoring database
Open the record for dataset details and reuse information.
Data from: Impacts of white-nose syndrome observed during long-term monitoring of a midwestern bat community
Open the record for dataset details and reuse information.
Data from: Long-term monitoring dataset of fish assemblages impinged at nuclear power plants in northern Taiwan
Open the record for dataset details and reuse information.
Establishment of a Database for Long-Term Monitoring of Patients With Nephropathic Cystinosis
ClinicalTrials.gov study NCT00004312. IPD Sharing: Not stated. Countries: 1. Publications: 0.
XTE All-Sky Monitor Long-Term Observed Sources
The XTEASMLONG table was created for the purpose of providing a complete listing of RXTE's All-Sky Monitor (ASM) observations of sources. It is based on information culled from the definitive 1-dwell long-term ASM light curve data products. These data products are available for downloading at <a href="https://heasarc.gsfc.nasa.gov/FTP/xte/data/archive/ASMProducts/definitive_1dwell/lightcurves/">https://heasarc.gsfc.nasa.gov/FTP/xte/data/archive/ASMProducts/definitive_1dwell/lightcurves/</a> The XTEASMLONG table is updated usually every week or two whenever new definitive ASM data products are delivered to the RXTE GOF from MIT where the definitive ASM processing is done. This is a service provided by NASA HEASARC .
Heterologous hybridization to an oligonucleotide microarray monitors differential gene expression in Pinus radiata exposed to long-term Ethephon exposure
GEO Series GSE42300. Pinus radiata; Pinus taeda. 12 samples. Type: Expression profiling by array.
Long-term in vivo monitoring of transplanted mesenchymal stromal cells in colitis mice with magnetic particle imaging
GEO Series GSE289684. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
25 new long-term variables in the GX 339-4 field: two years of MeerKAT monitoring
<p>These are the radio light curves for the 25 new long-term variable sources found in weekly ThunderKAT monitoring of the low-mass X-ray binary GX 339-4 with MeerKAT. These data are part of a publication submitted to Monthly Notices for the Royal Astronomical Society (Driessen et al., submitted) and part of Laura's Driessen PhD thesis (the jodrell Bank Centre for Astrophysics, the University of Manchester, UK).</p> <p>The observations are MeerKAT L-band observations. Each epoch is approximately 10-15 minutes long, these are the first two years of weekly monitoring, from September 2018 to the end of August 2020. The light curves have been extracted from the images using the <a href="https://tkp.readthedocs.io/en/latest/introduction.html">LOFAR Transients Pipeline (TraP)</a>.</p> <p>Each file contains the information for a single source. The files are formatted with columns as follows:</p> <ul> <li>mjd: the modified Julian Date (MJD) of the observation. The MJD is given by MJD=JD-2400000.5 where JD is the Julian Date</li> <li>f_int_median_scaled_Jy: the flux density of the source in Jansky (Jy) determined by the LOFAR TraP, after the systematic correction model has been applied (see Driessen et al. 2021)</li> <li>f_int_median_scaled_err_Jy: the uncertainty on f_int_median_scaled_Jy in Jansky determined by the LOFAR TraP, after the systematic correction model has been applied (see Driessen et al. 2021)</li> <li>freq_eff_Hz: the effect frequency in Hertz (Hz)</li> <li>median_scaled_eta: the chi squared variability parameter for the source in the specified frequency band/subband. This parameter is defined in Driessen et al. 2021, Swinbank et al. 2015 and on the <a href="https://tkp.readthedocs.io/en/latest/introduction.html">LOFAR TraP website</a></li> <li>median_scaled_V: the modulation variability parameter for the source in the specified frequency band/subband. This parameter is defined in Driessen et al. 2021, Swinbank et al. 2015 and on the <a href="https://tkp.readthedocs.io/en/latest/introduction.html">LOFAR TraP website</a></li> <li>name: this is the name of the source as defined in Driessen et al. 2021</li> <li>subband: this file contains the light curve of the source from multi-frequency synthesis (MFS) imaging of the full MeerKAT L-band (from 856 to 1712 MHz) epochs, plus 8 subband images with central frequencies: 909, 1016, 1123, 1230, 1337, 1444, 1551 and 1658 MHz. This column shows which subband or MFS the values in the row are from</li> </ul> <p>The files were made using the Pandas package, so we recommend Python users load them using </p> <pre><code class="language-python">import pandas as pd pd.read_csv(filename, comment='#') </code></pre> <p>If you use the data shared here please ensure that you cite the MNRAS paper (Driessen at al. submitted) and the Zenodo DOI: 10.5281/zenodo.5069119.</p> <p> </p> <p>The MeerKAT telescope is operated by the South African Radio Astronomy Observatory, which is a facility of the National Research Foundation, an agency of the Department of Science and Innovation.<br> LND acknowledges support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 694745).</p>
Video S2 Five-year monitoring of a desert burrow-dwelling spider fol-lowing an environmental disaster indicates long-term impacts.
<p>A supplementary video S2</p> <p><em>Sahastata aravaensis</em> sp. nov. feeding in captivity with ants, Efrat Gavish-Regev. The spiders usually bite the ant’s leg before feeding.</p> <p>Five-year monitoring of a desert burrow-dwelling spider fol-lowing an environmental disaster indicates long-term impacts.</p> <p>Submitted to the Journal: Insects</p> <p> </p>
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.