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615
datasets available to search
ShareScore release 0.9.0
Dataset results
615 results for “tuning”
Tuning Process of HHOTuner, BLISS, and OpenTuner
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Post-Translational Modification Prediction via Prompt-Based Fine-Tuning of a GPT-2 Model
<p>Training and Benchmark datasets for 19 PTMGPT2 models</p>
Transducer Tuning - Code Summarization Preprocessed
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Supplementary data: Cardiac and Skeletal Actin Substrates Uniquely Tune Cardiac Myosin Strain-Dependent Mechanics
<p>Supplementary data for the paper 'Cardiac and Skeletal Actin Substrates Uniquely Tune Cardiac Myosin Strain-Dependent Mechanics'.</p>
Transducer Tuning - Code Repair Preprocessed
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Source Data for 'Gait Asymmetry Can Be Controlled by Tuning Spinal Reflex Gains'
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Data from: Monocular blur alters the tuning characteristics of stereopsis for spatial frequency and size
Our sense of depth perception is mediated by spatial filters at different scales in the visual brain; low spatial frequency channels provide the basis for coarse stereopsis, whereas high spatial frequency channels provide for fine stereopsis. It is well established that monocular blurring of vision results in decreased stereoacuity. However, previous studies have used tests that are broadband in their spatial frequency content. It is not yet entirely clear how the processing of stereopsis in different spatial frequency channels is altered in response to binocular input imbalance. Here, we applied a new stereoacuity test based on narrow-band Gabor stimuli. By manipulating the carrier spatial frequency, we were able to reveal the spatial frequency tuning of stereopsis, spanning from coarse to fine, under blurred conditions. Our findings show that increasing monocular blur elevates stereoacuity thresholds 'selectively' at high spatial frequencies, gradually shifting the optimum frequency to lower spatial frequencies. Surprisingly, stereopsis for low frequency targets was only mildly affected even with an acuity difference of eight lines on a standard letter chart. Furthermore, we examined the effect of monocular blur on the size tuning function of stereopsis. The clinical implications of these findings are discussed.
Tuning adatom mobility and nanoscale segregation by twin formation and polytypism
<p>Nanoscale variations in the composition of an AlxGa1−xAs shell around a GaAs nanowire affect the nanowire<br> functionality and can lead to the formation of localized quantum emitters. These composition<br> fluctuations can be the consequence of variations of crystal phase and/or nanoscale adatom<br> mobility.By applying electron microscopy related techniques we correlate the optical,<br> compositional and structural properties at the nanoscale on the same object. The results indicate a<br> clear correlation between the twin density in the nanowire and the quantum-emitter density as<br> well as a significant redshift in the emission. We propose that twinning increases nanoscale<br> segregation effects in ternary alloys. An additional redshift in the emission can be explained by<br> the staggered band-alignment between wurtzite and zinc-blende phases. This work opens new<br> avenues in the achievement of homogeneous ternary and quaternary alloys in nanowires and in<br> the engineering of the segregation effects at the nanoscale.</p>
Magneto-optics in a van der Waals magnet tuned by self-hybridized polaritons
<p>Experimental and simulated data of the graphs shown in the main manuscript. </p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 9)
<p>Multichannel electrophysiology data for the manuscript with the same title. (2305_20)</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 11)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 7)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 4)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 10)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 2)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 5)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 12)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 6)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus (dataset 1)
<p>Multichannel electrophysiology data for the manuscript with the same title.</p>
Scalable Non-Volatile Tuning of Photonic Computational Memories by Automated Silicon Ion Implantation - Supporting Information
<p>Photonic integrated circuits (PICs) are revolutionizing the realm of information technology, promising unprecedented speeds and efficiency in data processing and optical communication. However, the nanoscale precision required to fabricate these circuits at scale presents significant challenges, due to the need to maintain consistency across wavelength-selective components, which necessitates individualized adjustments after fabrication. Harnessing spectral alignment by automated silicon ion implantation, in this work scalable and non-volatile photonic computational memories are demonstrated in high-quality resonant devices. Precise spectral trimming of large-scale photonic ensembles from a few picometers to several nanometres is achieved with long-term stability and marginal loss penalty. Based on this approach, spectrally aligned photonic memory and computing systems for general matrix multiplication are demonstrated, enabling wavelength multiplexed integrated architectures at large scales.</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.