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.
119
datasets available to search
ShareScore release 0.9.0
Dataset results
119 results for “HALO”
fast-SMT movies of WT-MeCP2-Halo neurons
<p>Fast single molecule tracking experiments performed on primary cortical neurons with a wild type Mecp2 allele endogenously tagged with a HaloTag.</p>
fast-SMT movies of Halo-NLS neurons
<p>Fast single molecule tracking experiments performed on primary cortical neurons infected with a lentiviral vector expressing Halo-tagged NLS.</p>
fast-SMT movies of G118E-MeCP2-Halo neurons
<p>Fast single molecule tracking experiments performed on primary cortical neurons with a G118E Mecp2 allele endogenously tagged with a HaloTag.</p>
Determining Optimal Halo Pin Management Practises to Decrease Pin Complications
ClinicalTrials.gov study NCT00480727. IPD Sharing: Not stated. Countries: 1. Publications: 3.
HALO Trial: Haloperidol vs Olanzapine in Hyperactive Delirium in Palliative Care Patients; A Multi-Centre, Randomised-Controlled Trial
ClinicalTrials.gov study NCT04833023. IPD Sharing: NO. Countries: 1. Publications: 11.
Evaluation of the "Blue Halo Coil Catheter" for Patients With Prostatic Obstruction
ClinicalTrials.gov study NCT05714488. IPD Sharing: YES. Countries: 1. Publications: 9.
Dark Halo and MNV: a Study Between ICGA and OCTA
ClinicalTrials.gov study NCT05108285. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Phase I Human Analytics (HALO) Study
ClinicalTrials.gov study NCT05423860. IPD Sharing: YES. Countries: 1. Publications: 2.
A Pilot Study of the Safety, Tolerability, and Effectiveness of Halo
ClinicalTrials.gov study NCT02644135. IPD Sharing: NO. Countries: 0. Publications: 35.
Halo Index and Adaptive Alarm Thresholds During Routine PACU Inpatient Care: "Normal" vs. "Non-normal" Recovery
ClinicalTrials.gov study NCT01811433. IPD Sharing: Not stated. Countries: 1. Publications: 2.
MCMC Chains and Maximum Likelihood Parameters for a Random Walk Model of Dark Matter Halo Spins
<p>MCMC chains and the maximum likelihood model parameter file associated with the random walk dark matter halo spin model of Benson, Behrens, & Lu (2020; https://arxiv.org/abs/2001.09208). See the README file for details.</p>
MCMC Chains and Maximum Likelihood Parameters for a Random Walk Model of Dark Matter Halo Concentrations
<p>MCMC chains and the maximum likelihood model parameter file associated with the random walk dark matter halo concentration model of Johnson, Benson, & Grin (2020; https://arxiv.org/abs/2006.15231). See the README file for details.</p>
Raw band intensity values for Halo-LC3B
<p>Raw band intensity values used for the quantification of percentage autophagy levels.</p>
HALO: An Ontology for Representing Hallucinations in Generative Models
Open the record for dataset details and reuse information.
Dark Matter Halo Merger Trees
<p>This dataset is generated from the Genesis suite of dark matter only N-body simulations (C. Power et al in prep). L10_N2048 is a periodic cubical simulation of side 10 h^-1 Mpc, with 2048^3 particles each of mass 1.0e4 h^-1 solar units. It is used as the initial condition for models presented in <a href="https://ui.adsabs.harvard.edu/abs/2024arXiv240107396V" target="_blank" rel="noopener">E. M. Ventura et al. (2024)</a> S. Balu, along with input from C. Power ran the simulation using the SWIFT (<a href="https://ui.adsabs.harvard.edu/abs/2023arXiv230513380S" target="_blank" rel="noopener">Schaller et al. 2023</a>) cosmological code, identified haloes using the six-dimensional phase-space halo-finder VELOCIraptor (<a href="https://ui.adsabs.harvard.edu/abs/2019ascl.soft11020E" target="_blank" rel="noopener">Elahi et al. 2019a</a>), and constructed the merger trees with TREEFROG (<a href="https://ui.adsabs.harvard.edu/abs/2019ascl.soft11021E" target="_blank" rel="noopener">Elahi et al. 2019b</a>). During the halo-finding, Friends-of-Friends group require a minimum of 32 particles and the subhaloes need atleast 20 particles. S. Balu converted the original files into the format required by <a href="https://github.com/meraxes-devs/meraxes" target="_blank" rel="noopener">Meraxes</a> using codes developed by S. Mutch with help from Y. Qin and E. M. Ventura.</p> <p>After decompressing, the dataset has the following structure.</p> <pre>├── a_list.txt (the scale factor at all 120 snapshots) ├── grids (average density and velocity) │ ├── snap │ ├── snap_0000.hdf5 │ ├── snap_0001.hdf5 │ ├── ... │ ├── snap_0119.hdf5 └── trees ├── meraxes_augmented_stats.h5 (forest information) └── trees_trimmed.hdf5 (halo properties)</pre>
"Halo Region around Shallow Cumulus Clouds in Large Eddy Simulations"
<p>This dataset is used to examine the halo regions around shallow cumulus clouds. We performed large eddy simulations of shallow cumulus clouds based on the Barbados Oceanographic and Meteorological Experiment (BOMEX) using Met Office-NERC (National Environment Research Concil) Cloud model (MONC). A set of simulations with different model resolutions is performed. The available horizontal grid spacings are 10 m, 25 m, 50 m and 100 m and the corresponding vertical resolutions are 10 m, 25 m, 25 m, and 40 m, respectively. All simulations have the same model top, that is, 3 km. To save the computational cost, we use the same horizontal grid boxes (600 X 600). To test the robustness, we perform sensitivity simulations with modified mixing length scales in the sub-grid scale turbulence scheme. We also perform large eddy simulations using another numerical model, Cloud Model 1 (CM1) to check if the results are sensitive to the numerical details (advection schemes) and domain size. The simulations with CM1 have the same model resolution configurations as in MONC, but they have the same domain size (7.2 X 7.2 X 3)km^3. For more details of the simulation set up, please refer to our submitted paper. As the whole simulation has a huge dataset, we only choose part of the results that can reproduce the figures in our submitted paper for repository. </p>
Dataset:Ray and Halo impact craters on Ganymede : fingerprint for decoding Ganymede´s crustal structure
<p>The geological basemap used in the study is from Kersten et al., 2021. </p>
SF6 and CFC-12 measurements and mean age along HALO flight tracks during PGS, WISE and SouthTRAC
<p>This dataset belongs to the paper " Mean age from observations in the lowermost stratosphere: an improved method and interhemispheric differences", submitted to ACP in 2022.</p> <p>It contains</p> <ul> <li>SF<sub>6</sub> and CFC-12 measurements from the GhOST instrument (ECD-Channel),</li> <li>mean age calculated using the conventional TR-only method (mA_fit),</li> <li>mean age calculated using the extended exTR-TR method (mA_fit_fracts)</li> <li>and flight track information (delta theta, equivalent latitude, latitude, longitude</li> </ul> <p>in csv format for the three aircraft campaigns PGS (PGS_age.csv), WISE (WISE_age.csv) and SouthTRAC (ST_age.csv).</p> <p>Mean age values have not been corrected for mesospheric loss of SF<sub>6</sub>.</p> <p>The Python code tools for reproducing mean age calculations are available at</p> <pre>https://doi.org/10.5281/zenodo.7267114</pre> <pre>https://doi.org/10.5281/zenodo.7267203</pre> <p> </p>
Halos
<p>Example dataset from TNG</p>
HALOS: A Safety, Tolerability, Pharmacokinetics and Pharmacodynamics Study of Multiple Ascending Doses of ION582 in Participants With Angelman Syndrome
ClinicalTrials.gov study NCT05127226. IPD Sharing: YES. Countries: 6. Publications: 0.
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.