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33,754 results for “Enhancers”
Data from: Learning enhances behaviorally relevant representations in apical dendrites
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Not only hedgerows, but also flower fields can enhance bat activity in intensively used agricultural landscapes
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Data from: Productive foraging grounds enhance maternal condition and offspring quality in a capital breeding species
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Code from: Enhancing data-limited assessments with random effects: A case study on Korea chub mackerel (Scomber japonicus)
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Data from: Enhanced conspicuousness of prey in warmer water mitigates the constraint of turbidity for predators
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Data for: The 3-dimensional genome drives the evolution of asymmetric gene duplicates via enhancer capture-divergence
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Data from: Mitochondrial function is enhanced by thyroid hormones during zebra finch development
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Data from: FSHB transcription is regulated by a novel 5’ distal enhancer containing a fertility-associated single nucleotide polymorphism
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Mutualism-enhancing mutations dominate early adaptation in a two-species microbial community
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Acoustic Hologram Enhanced Phased Arrays for Particle Manipulation Data
<p>All data relating to figures and statistics uploaded in the paper entitled "Acoustic Hologram Enhanced Phased Arrays for Particle Manipulation"</p>
Supplemental material to manuscript "Enhancement of adhesives strength of wood-metal joints using atmospheric plasma treatments"
<p>This dataset includes the supplementary information<strong> </strong>related to the manuscript:</p> <p>Authors: Žigon J, Kovač J, Zaplotnik R, Saražin J, Šernek M, Petrič M, Dahle S</p> <p>Title: <strong>Enhancement of adhesives strength of wood-metal joints using atmospheric plasma treatments</strong></p>
Supplemental material to manuscript "Enhancement of strength of adhesive bond between wood and metal using atmospheric plasma treatment"
<p>This dataset includes the supplementary information<strong> </strong>related to the manuscript:</p> <p>Authors: Žigon J, Kovač J, Zaplotnik R, Saražin J, Šernek M, Petrič M, Dahle S</p> <p>Title: <strong>Enhancement of strength of adhesive bond between wood and metal using atmospheric plasma treatment</strong></p>
Dataset of Paper "Enhanced numerical simulation of photocatalytic reactors with an improved solver for the radiative transfer equation"
<p>Dataset of Paper "Enhanced numerical simulation of photocatalytic reactors with an improved solver for the radiative transfer equation":</p> <p>- Data of the incident radiation profiles in the annular reactor.</p> <p>- Average and net values of main radiation magnitudes in the tubular reactor at different photocatalyst concentration </p> <p> </p>
WHISPER SET 1: a dataset for multi-channel, multi-device speech separation and speech enhancement
<p>This dataset is <code>WHISPER SET 1,</code> a dataset for speech enhancement and source separation recorded with a Wireless Acoustic Sensor Network (WASN) called WHISPER <a href="https://ieeexplore.ieee.org/abstract/document/8110202">Kiselev2018</a>. The dataset contains samples for up to 4 concurrent speakers and speech in noise. The dataset was recorded in a room with low reverberation (T_60 = 0.2 s) and using 16 microphones. In general, each track contains first a calibration phase where each of the speakers sequentially is active alone for 15 seconds. Followed by 15 seconds of all the speakers together (plus noise in some cases). </p> <p>If you use this dataset please cite:</p> <ul> <li><strong>E. Ceolini, I. Kiselev and S. Liu, "Evaluating multi-channel multi-device speech separation algorithms in the wild: a hardware-software solution," in <em>IEEE/ACM Transactions on Audio, Speech, and Language Processing</em>.</strong></li> </ul> <p>===</p> <p>Each sample is a 16-channel wav file in which the order of the channel follows the following logic:</p> <p>0 - module 5 mic 1 1 - module 5 mic 2 2 - module 5 mic 3 3 - module 5 mic 4 4 - module 6 mic 1 5 - module 6 mic 2 6 - module 6 mic 3 7 - module 6 mic 4 8 - module 7 mic 1 9 - module 7 mic 2 10 - module 7 mic 3 11 - module 7 mic 4 12 - module 8 mic 1 13 - module 8 mic 2 14 - module 8 mic 3 15 - module 8 mic 4</p> <p>Refer to the <a href="https://github.com/SensorsAudioINI/WHISPER_SET_1/blob/master/WHISPER4_floor_annotated.png">floor plan</a> for a visual illustration of the microphone arrangement.</p> <p>The files are divided into two subfolders, one for the samples of speech enhancement and one for the samples of speech separation.</p> <ul> <li>In the folder of speech separation, the files are divided into subfolders defining the number of speakers in the mixtures (2, 3, or 4)</li> <li>In the folder of speech enhancement, the files are divided into subfolders following the SNR of the mixture (0, -5, -10 dB)</li> </ul> <p>Samples are ordered in folders. Each sample folder contains a 15 seconds 16-channels <code>mixture.wav</code> file, plus the 15 seconds 16-channels <code>calibX.wav</code> files one for each speaker alone or noise alone in the mixture. That is a sample with a mixture with 4 speakers will have 4 calibration files (calib1.wav, calib2.wav, calib3.wav, calib4.wav) and a mixture of a speaker plus noise will have 2 calibration files one for speech (calib1.wav) and one for noise (calib2.wav).</p> <p>== </p> <p>A Jupyter notebook is included to show an example of how to use the data of this dataset for speech separation and speech enhancement using beamforming. The notebook is dependent on <a href="https://github.com/Enny1991/beamformers">this beamforming library</a> and <a href="https://github.com/Enny1991/sep_eval">this tool</a> to evaluate the quality of the separation.</p> <p>==</p> <p>Refer to the README.md in the dataset for more information.</p> <p>For any question please contact enea.ceolini@gmail.com</p>
Experimental data for "Virtual Reality as a Tool for Promoting Reading via Enhanced Narrative Absorption and Empathy"
<p>This dataset contains data of the publication "Virtual Reality as a Tool for Promoting Reading via Enhanced Narrative Absorption and Empathy". It includes measure for the Story World Absorption Scale and the State Empathy Scale used to compare subjective experiences while reading on paper and reading in a virtual reality environment.</p> <p>Original paper: Pianzola, F., Bálint, K., and Weller, J. (2019). Virtual Reality as a Tool for Promoting Reading via Enhanced Narrative Absorption and Empathy. <em>Scientific Study of Literature 9</em>(2). https://doi.org/10.1075/ssol.19013.pia</p>
Dataset related to article "CXCR3 Identifies Human Naive CD8+ T Cells with Enhanced Effector Differentiation Potential."
<p>In mice, the ability of naive T (T<sub>N</sub>) cells to mount an effector response correlates with TCR sensitivity for self-derived Ags, which can be quantified indirectly by measuring surface expression levels of CD5. Equivalent findings have not been reported previously in humans. We identified two discrete subsets of human CD8<sup>+</sup> T<sub>N</sub> cells, defined by the absence or presence of the chemokine receptor CXCR3. The more abundant CXCR3<sup>+</sup> T<sub>N</sub> cell subset displayed an effector-like transcriptional profile and expressed TCRs with physicochemical characteristics indicative of enhanced interactions with peptide-HLA class I Ags. Moreover, CXCR3<sup>+</sup> T<sub>N</sub> cells frequently produced IL-2 and TNF in response to nonspecific activation directly ex vivo and differentiated readily into Ag-specific effector cells in vitro. Comparative analyses further revealed that human CXCR3<sup>+</sup> T<sub>N</sub> cells were transcriptionally equivalent to murine CXCR3<sup>+</sup> T<sub>N</sub> cells, which expressed high levels of CD5. These findings provide support for the notion that effector differentiation is shaped by heterogeneity in the preimmune repertoire of human CD8<sup>+</sup> T cells.</p>
Trichoderma atroviride P1 Colonization of Tomato Plants Enhances Both Direct and Indirect Defense Barriers Against Insects
<p><strong>FIGURE 1</strong> </p> <p>Survival rate of <em>S. littoralis</em> larvae, from 3rd instar (time 0) to pupation, reared on tomato leaves obtained from plants treated with <em>Trichoderma atroviride</em> P1 or untreated control plants. Asterisk indicates that the two survival curves are significantly different (LogRank test, <em>P</em> = 0.0027).</p> <p> </p> <p><strong>FIGURE 3</strong> </p> <p>Survival of <em>Macrosiphum euphorbiae</em> reared on tomato plants treated with <em>T. atroviride</em> P1 or untreated control plants. Asterisk indicates that the two survival curves are significantly different (LogRank test, <em>P</em> = 0.0012).</p> <p> </p> <p><strong>FIGURE 4</strong> </p> <p>Flight behavior of <em>Aphidius ervi</em> females (%) toward tomato plants inoculated with <em>T. atroviride</em> P1 and untreated controls. Asterisk indicates a significant difference, assigned by <em>G</em> test for independence (<em>P</em> < 0.001).</p> <p> </p> <p><strong>TABLE 1</strong></p> <p>GC-MS detection of VOCs released by tomato plants obtained from seeds untreated (Control) and treated with <em>Trichoderma atroviride</em> strain P1.</p> <p> </p>
Recombinant Costimulatory Fusion Proteins as Functional Immunomodulators Enhance Antitumor Activity in Murine B16F10 Melanoma
<p>Cancer immunotherapy has emerged as an important therapeutic modality in preclinical and clinical oncology. Blocking inhibitory signaling and engaging stimulatory signaling enable some patients to produce an efficient antitumor response. In this work, we demonstrate unique and unexpected immunomodulatory features of different costimulatory ligand proteins with no combination of tumor-associated products, which bridge innate and adaptive immune responses against cancer in preventive as well as therapeutic efficacy.</p>
Open-Unmix for Speech Enhancement (UMX SE)
<p>Weights of Open-Unmix trained on the 28-speaker version of Voicebank+Demand (Sampling rate: 16kHz). The weights can be used with <a href="https://github.com/sigsep/open-unmix-nnabla">open-unmix-nnabla</a> and <a href="https://github.com/sigsep/open-unmix-pytorch">open-unmix-pytorch</a>.</p>
Enhanced reforming of mixed biomass tar model compounds using a hybrid gliding arc plasma catalytic process
<p>Datasheet for the paper; DOI: 10.1016/j.cattod.2019.05.046</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.