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197 results for “beat”

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dryad28/100

Ciliary beating patterns map onto a low-dimensional behavioural space

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publicJan 2022View details →
dryad28/100

Blood pressure measurement during cesarean delivery: Evaluation of a beat-to-beat noninvasive device (NexfinTM)

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publicMar 2021View details →
dryad28/100

Data from: Consequences of mating and predation risk for longevity in a freshwater snail: Abstinence makes the heart beat longer

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publicSep 2016View details →
dryad28/100

Data from: The molecular trigger for high-speed wing beats in a bee

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publicAug 2013View details →
dryad28/100

Going with the flow: corals in high-flow environments can beat the heat

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publicOct 2020View details →
dryad28/100

Data from: Midbrain adaptation may set the stage for the perception of musical beat

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publicOct 2017View details →
dryad28/100

Data from: Bayesian causal inference explains movement coordination to auditory beats

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publicJun 2014View details →
dryad28/100

Data from: Nonlinear amplitude dynamics in flagellar beating

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publicFeb 2017View details →
geo24/100

Stem cell-derived mouse embryos develop within an extra-embryonic yolk sac to form anterior brain regions and a beating heart

GEO Series GSE189425. Mus musculus. 28 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2022View details →
geo24/100

Schizophrenia-related microdeletion causes progressive brain ventricle enlargement through microRNA-dependent deceleration of motile cilia beating

GEO Series GSE123560. Mus musculus. 16 samples. Type: Non-coding RNA profiling by array.

openGEO-OpenDec 2019View details →
zenodo24/100

Figure 3 from: Cassetta L, Rodrigues PM, Andreu T, Botta B, Brandau S, Brierley C, Wilson C, Dadeshidze I, Forzi L, Ortelli F, Quintas MA.C (2020) Beating Cancer by 2030: Mission Impossible? Research Ideas and Outcomes 6: e61662. https://doi.org/10.3897/rio.6.e61662

Figure 3 Participants discussing in small groups during the Pro-Action Café.

opencc-by-4.0Dec 2020View details →
zenodo24/100

Figure 4 from: Cassetta L, Rodrigues PM, Andreu T, Botta B, Brandau S, Brierley C, Wilson C, Dadeshidze I, Forzi L, Ortelli F, Quintas MA.C (2020) Beating Cancer by 2030: Mission Impossible? Research Ideas and Outcomes 6: e61662. https://doi.org/10.3897/rio.6.e61662

Figure 4 Actions proposed to improve cancer patients care.

opencc-by-4.0Dec 2020View details →
dryad24/100

Data from: What can we learn about beat perception by comparing brain signals and stimulus envelopes?

Entrainment of neural oscillations on multiple time scales is important for the perception of speech. Musical rhythms, and in particular the perception of a regular beat in musical rhythms, is also likely to rely on entrainment of neural oscillations. One recently proposed approach to studying beat perception in the context of neural entrainment and resonance (the "frequency-tagging" approach) has received an enthusiastic response from the scientific community. A specific version of the approach involves comparing frequency-domain representations of acoustic rhythm stimuli to the frequency-domain representations of neural responses to those rhythms (measured by electroencephalography, EEG). The relative amplitudes at specific EEG frequencies are compared to the relative amplitudes at the same stimulus frequencies, and enhancements at beat-related frequencies in the EEG signal are interpreted as reflecting an internal representation of the beat. Here, we show that frequency-domain representations of rhythms are sensitive to the acoustic features of the tones making up the rhythms (tone duration, onset/offset ramp duration); in fact, relative amplitudes at beat-related frequencies can be completely reversed by manipulating tone acoustics. Crucially, we show that changes to these acoustic tone features, and in turn changes to the frequency-domain representations of rhythms, do not affect beat perception. Instead, beat perception depends on the pattern of onsets (i.e., whether a rhythm has a simple or complex metrical structure). Moreover, we show that beat perception can differ for rhythms that have numerically identical frequency-domain representations. Thus, frequency-domain representations of rhythms are dissociable from beat perception. For this reason, we suggest caution in interpreting direct comparisons of rhythms and brain signals in the frequency domain. Instead, we suggest that combining EEG measurements of neural signals with creative behavioral paradigms is of more benefit to our understanding of beat perception.

opencc-zeroDec 2016View details →
zenodo24/100

Improved detection of DNA Schistosoma haematobium from eggs extracted by bead beating in urine

<p>Diagnosis of Schistosoma haematobium relies primarily on microscopical analysis of urine. The method is time consuming and<br> requires some expertise. Genus-specific real-time PCRs have been developed, but we still observed low sensitivity. In the present<br> study, in order to achieve a more sensitive DNA detection of eggs of S. haematobium in urine samples, we wanted to develop a<br> novel protocol of DNA extraction using mechanic disruption of eggs by bead beating as supplementary step. We tested<br> Schistosoma spp. internal transcribed spacer 2 real-time PCR after both methods with and without bead beating. First, we<br> preliminary assessed the DNA detection after bead beating using dilution of 2, 10, 50, and 90 eggs/10 mL, and the Ct value<br> analysis showed significant improved DNA detection per each point of egg concentration using the novel supplementary step.<br> Twenty microscopy positive and five microscopy negative urine samples were used to validate the procedure. All urines came<br> from imported cases and admitted at center for tropical medicine, and were examined by microscopy. PCR results after novel<br> method with bead beating showed 100% to be positive for S. haematobium, compared with 85% positive by our standard<br> extraction procedure. Results confirmed mechanic disruption of eggs by bead beating before DNA extraction to be highly<br> effective method for the detection of S. haematobium DNA in urine.</p>

opencc-by-4.0Jan 2019View details →
ClinicalTrials.gov24/100

Auditory Beat Stimulation and Behavioural Variant of Frontotemporal Dementia

ClinicalTrials.gov study NCT05917886. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov24/100

BEATS 2: Music Therapy in Sickle Cell

ClinicalTrials.gov study NCT03233269. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Patient-Reported Outcomes of Benralizumab in Real-World Use in Severe Eosinophilic Asthma Patients in Taiwan (BEAT)

ClinicalTrials.gov study NCT05734339. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov24/100

Beat Childhood Cancer Specimen Banking and Data Registry

ClinicalTrials.gov study NCT04715178. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

The Beat Pain Better Trial

ClinicalTrials.gov study NCT06932887. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov24/100

Validation of Beat-to-beat Wavefront Direction Using Omnipolar Mapping

ClinicalTrials.gov study NCT04900831. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

ScienceDex guides

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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