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Dataset results
1,940 results for “pulses”
G1/S cyclin-CDKs promote cell-cycle transcription by relieving the inhibition of a pulse-generating transcription factor network
GEO Series GSE75694. Schizosaccharomyces pombe; Saccharomyces cerevisiae. 270 samples. Type: Expression profiling by array; Third-party reanalysis.
Electric pulses do not change expression profile of genes involved in development of cancer in malignant melanoma cells
GEO Series GSE15420. Homo sapiens. 4 samples. Type: Expression profiling by array.
Co-cultures between hgp100-pulsed splenocytes with Pmel mouse CD8 T cells treated with human recombinant AOAH protein or vehicle (10% glycerol PBS)
GEO Series GSE291589. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [113015data]
GEO Series GSE86137. Mus musculus. 125 samples. Type: Expression profiling by RT-PCR.
Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [111015data]
GEO Series GSE86134. Mus musculus. 57 samples. Type: Expression profiling by RT-PCR.
Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [081115data]
GEO Series GSE86123. Mus musculus. 126 samples. Type: Expression profiling by RT-PCR.
An electrical pulse stimulation protocol to study acute epigenetic response to muscle cell contraction uncovers acute hydroxymethylation of the exercise-responsive gene Nr4a3 [RNA-Seq]
GEO Series GSE87748. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing.
Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [091815data]
GEO Series GSE86126. Mus musculus. 57 samples. Type: Expression profiling by RT-PCR.
Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [030315data]
GEO Series GSE85665. Mus musculus. 18 samples. Type: Expression profiling by RT-PCR.
Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [010516data]
GEO Series GSE85661. Mus musculus. 45 samples. Type: Expression profiling by RT-PCR.
Mechanisms underlying FSHβ gene sensitivity to GnRH pulse frequency [020116data]
GEO Series GSE85664. Mus musculus. 90 samples. Type: Expression profiling by RT-PCR.
Data for "A Comparison on the E-change Pulses Occurring in the Bi-level Polarity-opposite Charge Regions of the Intra-Cloud Lightning Flashes"
<p>In a manuscript entitled “A Comparison on the E-change Pulses Occurring in the Bi-level Polarity-opposite Charge Regions of the Intra-Cloud Lightning Flashes”, lightning locations and electric field can be obtained through the following attachment. These files can be opened by MATLAB 2016 (or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citations.</p> <p> </p> <p>Data named as “Example_IC_Flash” consists of locations and an E-change waveform. Each location data has four columns, representing x (km), y (km), z (km), and time (ms). The E-change data has two columns, namely to time (ms) and E-change amplitude (DU).</p> <p> </p> <p>The other Data are stored using the form of ‘.fig’. Researchers can open these figures directly by using MATLAB.</p>
Scalogram Dataset (with and without CPR) for Pulse Prediction
<p>This dataset is for the project, "Machine Learning and Feature Engineering for Predicting Pulse Status during Chest Compressions." Both files are comprised of reshaped scalograms for ECGs with and without CPR. </p>
Period wavelet movies of spreadouts, ex vivo models of somitogenesis, subjected to 170-min periodic pulses of 2 uM DAPT
<p>Here are period wavelet movies (as .tif), generated using a wavelet analysis workflow developed by Gregor Mönke, of timelapse imaging of a dynamic Notch signaling reporter (i.e. LuVeLu) in spreadouts, ex vivo models of somitogenesis. Spreadouts were subjected to 170-min periodic pulses of 2 uM DAPT. Also here are binary masks generated in Fiji based on threshold of LuVeLu intensity. These files are used to run an accompanying Python script, available at: <a href="https://github.com/PGLSanchez/EMBL_OscillationsAnalysis/tree/master/PeriodGradientAnalysis">https://github.com/PGLSanchez/EMBL_OscillationsAnalysis/tree/master/PeriodGradientAnalysis</a></p>
Data accompanying "Switching dynamics of dark-pulse Kerr comb states in optical microresonators"
<p>This dataset contains figure plotting scripts and corresponding raw measurement data for the paper "Switching dynamics of dark-pulse Kerr comb states in optical microresonators"</p>
Data from: Rainfall pulse response of carbon fluxes in a temperate grass ecosystem in the semiarid Loess Plateau
Rainfall pulses can significantly influence carbon cycling in water limited ecosystems. The magnitude of carbon flux component responses to precipitation may vary depending on precipitation amount and antecedent soil moisture, associated with nonlinear responses of plants and soil microbes. The present study was carried out in a temperate grass ecosystem during 2013–2015 in the semiarid Loess Plateau of China, to examine the response of carbon fluxes to precipitation using the "threshold-delay" model. The unique contribution of environmental variables, such as precipitation amount and antecedent soil moisture before rainfall (SWC_antecedent) to carbon fluxes in response to rainfall were also investigated. The lower threshold of effective rainfall was 6.6 mm for gross ecosystem production (GEP), 8.5 mm for net ecosystem production (NEP) and 4.5 mm for ecosystem respiration (RE); and the upper threshold of effective rainfall was 21.4 mm for GEP and NEP, and 16.8 mm for RE. Rainfall amount was positively affected the relative rainfall responses of GEP, NEP and RE. However, SWC_antecedent at 20 cm soil depth offset the response of GEP to rainfall pulses, and SWC_antecedent at 5 cm depth offset the response of NEP and RE to rainfall pulses, with corresponding partial slopes of linear regressions of −0.50, −0.40 and −0.52. These results indicated that NEP was more sensitive to rainfall pulses and RE was more sensitive to SWC_antecedent. These results demonstrate the importance of rainfall events of < 10 mm, and that the negative effect of SWC_antecedent should also be considered when estimating ecosystem carbon fluxes in this semiarid region.
Pulsed 193 nm Excimer laser processing of 4H-SiC(0001) wafers with radiant exposure dependent "in situ" reflectivity studies for process optimization.
<p>Conference paper</p>
Supplementary material S31: Averaged spectrograms for the full collection of jolting pulses on each substrate.
<p>A series of spectrograms to demonstrate the filtering parameters chosen for each collection of jolt pulses to improve the alignment process. A selection of pulses from each substrate collection were averaged to produce each panel. This number differed based upon the number of pulses that showcased clarity (petri-dish = 40, honeycomb = 8, brood-comb = 40). Background frequencies were filtered as follows: 19 kHz high-pass (a), 500 Hz high-pass and 12 – 19 kHz band-stop (b), 500-2500 Hz bandpass (c), leaving only the frequencies where strong signal occurs. This then produces cleaner accelerometer data for improved scrutiny of the pulses to identify similarities within each substrate. The colour-coding of each spectrogram is not relevant for this figure as it serves only the purpose of substantiating the filtering choices. </p>
Supplementary material S25: Time course of the loudest Varroa pulse on each substrate compared to that of Varroa walking behaviour.
<p>Time course of a <em>Varroa </em>jolting pulse and walking accelerometer traces. A 0.5 second accelerometer extract of mite walking behaviour (black) is here compared to a 0.5 second extract of accelerometer data containing the loudest pulse on each substrate (red).</p>
Supplementary material S23: Video evidence for a change in behaviour during the production of a honeycomb jolting pulse with successive peaks.
<p>Video showcasing mite displacement for the jolting pulse with 6 consecutive peaks. This is a video excerpt taken from the honeycomb jolting video (S10) slowed four times for ease of viewing. The soundtrack, actually coming from the accelerometer itself, which is also slowed accordingly is included and provides the jolting pulses as audible ‘clapping’ sounds. The jolting pulse that produces the vibrational trace with 6 consecutive peaks is seen first at the time stamp 12.265 min on the x axis. The mite moves in a rightwards direction before immediately moving the body forwards, unlike the commonly seen singular left or right body displacement. This is followed by a jolting pulse at the time stamp 12.275 min, which showcases this commonly described movement, as a comparison.</p>
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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.