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1,423 results for “separation”
Spatial separation of prey from livestock facilitates coexistence of a specialized large carnivore with human land use
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Data from: Multi-scale structure of chromatin condensates explains phase separation and material properties
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Data from: Phosphorylation, disorder, and phase separation govern the behavior of Frequency in the fungal circadian clock
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Dataset for: Biomimetic models of fish gill rakers as lateral displacement arrays for particle separation
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Data and code for: Optimal clutch size revisited: separating individual quality from the costs of reproduction
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Host preference of a tree-killing bark beetle across a geographic boundary separating host species
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Not out of the Mediterranean: Atlantic populations of the gorgonian Paramuricea clavata are a separate sister species under further lineage diversification
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Morphological and molecular data support the separate species status of Syringa fauriei in Korea
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soundscape_IR: A source separation toolbox for exploring acoustic diversity in soundscapes
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Herbivory and elevated levels of CO2 and nutrients separately, rather than synergistically, impacted biomass production and allocation in invasive and native plant species
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Separable processes for live “in-person” and “zoom-like” faces
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Lack of synchronized breeding success in a seabird community: extreme events, niche separation, and environmental variability
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Spatial and temporal separation of toothed whales in the western North Atlantic
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Data for: Hybrid dedicated and distributed coding in PMd/M1 provides separation and interaction of bilateral arm signals
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Separating Functions of the Phage-Encoded Quorum-Sensing-Activated Antirepressor Qtip
<p>Raw gels and microscopy images used in a study on the interaction between Qtip and its partner phage repressor protein.</p> <p> </p> <p> </p>
Dynamics of phase separation of sheared inertialess binary mixtures
<p>Videos (gif files) of the simulated dynamics of phase separation report the maps of mass fraction of species <em>A</em> (<em>f</em>) at different time intervals within the simulated domain. File names are as follows:</p> <p>Sec3.<strong>s</strong>_gamma<strong>G</strong>_Nalpha<strong>N</strong>_MC<strong>n</strong>_tstep<strong>T</strong>-phi</p> <p>where:</p> <p><strong>s</strong> identifies the section number as in the main text (i.e., Sec3.1, Sec3.2, Sec3.3, Sec3.4)</p> <p><strong>G</strong> identifies the value of the dimensionless shear rate (e.g., 0, 10<sup>-2</sup>, etc.)</p> <p><strong>N</strong> identifies the value of the fluidity parameter <em>N</em><em><sub>a</sub></em> (e.g., 10<sup>-2</sup>, 10<sup>2</sup>, etc.)</p> <p><strong>n</strong> identifies the different realizations of the initial random noise (i.e., MC1, MC2)</p> <p><strong>T</strong> identifies the time step in dimensionless time (i.e., tstep20, tstep200)</p>
Binary 2D morphologies of polymer phase separation
<p>This dataset was generated through the simulation of a time evolving Cahn -Hilliard equation, describing phase separation in binary polymer blends. Several realizations of the equation were done through different values of volume fractions and binary interaction parameters. Morphologies were outputted at constant time intervals. Fill factor information for each instance has been provided as well.</p> <p> </p>
How does the melting impact charge separation in squall line? A bin microphysics simulation study
<p>Data for paper of above title.</p>
................................................................................................................................................. Fig. 3. SDSPAGE analysis of total bacterial protein extracts of the four roe deer isolates as well as other Bartonella species. Extracts of total bacterial protein were separated by SDSPAGE and stained with Coomassie brilliant blue. Lanes: M, molecular mass markers; 1, R1T; 2, R3; 3, R4; 4, R6; 5, Bartonella henselae; 6, Bartonella quintana; 7, Bartonella bacilliformis; 8, Bartonella elizabethae; 9, Bartonella clarridgeiae; 10, Bartonella alsatica; 11, Bartonella tribocorum; 12, Bartonella grahamii. in Bartonella schoenbuchii sp. nov., isolated from the blood of wild roe deer.
................................................................................................................................................. Fig. 3. SDSPAGE analysis of total bacterial protein extracts of the four roe deer isolates as well as other Bartonella species. Extracts of total bacterial protein were separated by SDSPAGE and stained with Coomassie brilliant blue. Lanes: M, molecular mass markers; 1, R1T; 2, R3; 3, R4; 4, R6; 5, Bartonella henselae; 6, Bartonella quintana; 7, Bartonella bacilliformis; 8, Bartonella elizabethae; 9, Bartonella clarridgeiae; 10, Bartonella alsatica; 11, Bartonella tribocorum; 12, Bartonella grahamii.
Test dataset for separation of speech, traffic sounds, wind noise, and general sounds
<p>The dataset was generated as part of the paper:<br> Deep Complex U-Net Ensemble for Outdoor Urban Sound Source Separation,<br> K. Arendt, A. Szumaczuk, B. Jasik, P. Masztalski, K. Piaskowski, M. Matuszewski, K. Nowicki, P. Zborowski.</p> <p>It contains various sounds from the Audio Set [1] and spoken utterances from VCTK [2] and DNS [3] datasets.</p> <p>Contents:<br> sr_8k/<br> mix_clean/<br> s1/<br> s2/<br> s3/<br> s4/<br> sr_16k/<br> mix_clean/<br> s1/<br> s2/<br> s3/<br> s4/<br> sr_48k/<br> mix_clean/<br> s1/<br> s2/<br> s3/<br> s4/</p> <p>Each directory contains 512 audio samples in different sampling rate (sr_8k - 8 kHz, sr_16k - 16 kHz, sr_48k - 48 kHz).<br> The audio samples for each sampling rate are different as they were generated randomly and separately.<br> Each directory contains 5 subdirectories:<br> - mix_clean - mixed sources,<br> - s1 - source #1 (general sounds),<br> - s2 - source #2 (speech),<br> - s3 - source #3 (traffic sounds),<br> - s4 - source #4 (wind noise).</p> <p>The sound mixtures were generated by adding s2, s3, s4 to s1 with SNR ranging from -10 to 10 dB w.r.t. s1.</p> <p><br> REFERENCES:</p> <p>[1] Jort F. Gemmeke, Daniel P. W. Ellis, Dylan Freedman,<br> Aren Jansen, Wade Lawrence, R. Channing Moore,<br> Manoj Plakal, and Marvin Ritter, “Audio set: An ontology<br> and human-labeled dataset for audio events,” in<br> Proc. IEEE ICASSP 2017, New Orleans, LA, 2017.</p> <p>[2] Christophe Veaux, Junichi Yamagishi, and Kirsten Mac-<br> Donald, “CSTR VCTK corpus: English multi-speaker<br> corpus for CSTR voice cloning toolkit, [sound],”<br> https://doi.org/10.7488/ds/1994, University of Edinburgh.<br> The Centre for Speech Technology Research<br> (CSTR). 2017.</p> <p>[3] Chandan K. A. Reddy, Ebrahim Beyrami, Harishchandra<br> Dubey, Vishak Gopal, Roger Cheng, Ross Cutler,<br> Sergiy Matusevych, Robert Aichner, Ashkan Aazami,<br> Sebastian Braun, Puneet Rana, Sriram Srinivasan, and<br> Johannes Gehrke, “The interspeech 2020 deep noise<br> suppression challenge: Datasets, subjective speech<br> quality and testing framework,” 2020.</p>
ScienceDex guides
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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.