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98 results for “muscle dynamics”

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dryad32/100

Machine learning to extract muscle fascicle length changes from dynamic ultrasound images in real-time

Open the record for dataset details and reuse information.

publicJun 2021View details →
dryad28/100

Data from: In vivo dynamics of skeletal muscle Dystrophin in zebrafish embryos revealed by improved FRAP analysis

Dystrophin forms an essential link between sarcolemma and cytoskeleton, perturbation of which causes muscular dystrophy. We analysed Dystrophin binding dynamics in vivo for the first time. Within maturing fibres of host zebrafish embryos, our analysis reveals a pool of diffusible Dystrophin and complexes bound at the fibre membrane. Combining modelling, an improved FRAP methodology and direct semi-quantitative analysis of bleaching suggests the existence of two membrane-bound Dystrophin populations with widely differing bound lifetimes: a stable, tightly bound pool, and a dynamic bound pool with high turnover rate that exchanges with the cytoplasmic pool. The three populations were found consistently in human and zebrafish Dystrophins overexpressed in wild-type or dmdta222a/ta222a zebrafish embryos, which lack Dystrophin, and in Gt(dmd-Citrine)ct90a that express endogenously-driven tagged zebrafish Dystrophin. These results lead to a new model for Dystrophin membrane association in developing muscle, and highlight our methodology as a valuable strategy for in vivo analysis of complex protein dynamics.

opencc-zeroDec 2014View details →
dryad28/100

Data from: Validation of perfusion quantification with 3D gradient echo dynamic contrast-enhanced magnetic resonance imaging using a blood pool contrast agent in skeletal swine muscle

The purpose of our study was to validate perfusion quantification in a low-perfused tissue by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with shared k-space sampling using a blood pool contrast agent. Perfusion measurements were performed in a total of seven female pigs. An ultrasonic Doppler probe was attached to the right femoral artery to determine total flow in the hind leg musculature. The femoral artery was catheterized for continuous local administration of adenosine to increase blood flow up to four times the baseline level. Three different stable perfusion levels were induced. The MR protocol included a 3D gradient-echo sequence with a temporal resolution of approximately 1.5 seconds. Before each dynamic sequence, static MR images were acquired with flip angles of 5°, 10°, 20°, and 30°. Both static and dynamic images were used to generate relaxation rate and baseline magnetization maps with a flip angle method. 0.1 mL/kg body weight of blood pool contrast medium was injected via a central venous catheter at a flow rate of 5 mL/s. The right hind leg was segmented in 3D into medial, cranial, lateral, and pelvic thigh muscles, lower leg, bones, skin, and fat. The arterial input function (AIF) was measured in the aorta. Perfusion of the different anatomic regions was calculated using a one- and a two-compartment model with delay- and dispersion-corrected AIFs. The F-test for model comparison was used to decide whether to use the results of the one- or two-compartment model fit. Total flow was calculated by integrating volume-weighted perfusion values over the whole measured region. The resulting values of delay, dispersion, blood volume, mean transit time, and flow were all in physiologically and physically reasonable ranges. In 107 of 160 ROIs, the blood signal was separated, using a two-compartment model, into a capillary and an arteriolar signal contribution, decided by the F-test. Overall flow in hind leg muscles, as measured by the ultrasound probe, highly correlated with total flow determined by MRI, R = 0.89 and P = 10−7. Linear regression yielded a slope of 1.2 and a y-axis intercept of 259 mL/min. The mean total volume of the investigated muscle tissue corresponds to an offset perfusion of 4.7mL/(min ⋅ 100cm3). The DCE-MRI technique presented here uses a blood pool contrast medium in combination with a two-compartment tracer kinetic model and allows absolute quantification of low-perfused non-cerebral organs such as muscles.

opencc-zeroDec 2014View details →
ClinicalTrials.gov28/100

Dynamic Respiratory Muscle Function in Late-Onset Pompe Disease

ClinicalTrials.gov study NCT02354664. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
dryad28/100

Data from: Validation of perfusion quantification with 3D gradient echo dynamic contrast-enhanced magnetic resonance imaging using a blood pool contrast agent in skeletal swine muscle

Open the record for dataset details and reuse information.

publicMay 2016View details →
dryad28/100

Data from: Geometric models to explore mechanisms of dynamic shape change in skeletal muscle

Open the record for dataset details and reuse information.

publicApr 2018View details →
dryad28/100

Data from: In vivo dynamics of skeletal muscle Dystrophin in zebrafish embryos revealed by improved FRAP analysis

Open the record for dataset details and reuse information.

publicOct 2016View details →
geo24/100

Dynamics of the human skeletal muscle transcriptome in response to exercise training - part 2

GEO Series GSE60833. Homo sapiens. 68 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2016View details →
geo24/100

Dynamics of the human skeletal muscle transcriptome in response to exercise training

GEO Series GSE60591. Homo sapiens. 57 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2014View details →
geo24/100

Dynamin-related protein 1 regulates substrate oxidation in skeletal muscle by stabilizing cellular and mitochondrial calcium dynamics

GEO Series GSE162983. Mus musculus. 11 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2021View details →
geo24/100

Functional analysis of transcriptome dynamics during growth in Angus cattle longissimus muscle

GEO Series GSE48136. Bos taurus. 55 samples. Type: Expression profiling by array.

openGEO-OpenJun 2013View details →
geo24/100

Transcriptional and Chromatin Dynamics of Muscle Regneration after Severe Trauma

GEO Series GSE104284. Mus musculus. 332 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenSep 2017View details →
geo24/100

Dynamic time course miRNA profiling of human skeletal muscle cell differentiation.

GEO Series GSE53383. Homo sapiens. 35 samples. Type: Non-coding RNA profiling by array.

openGEO-OpenDec 2014View details →
geo24/100

Mitochondrial dynamics define muscle fiber type by modulating cellular metabolism pathways

GEO Series GSE228362. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2023View details →
geo24/100

Single-cell RNA transcriptome reveals heterogeneity and dynamics of cells during skeletal muscle development in different chicken breeds

GEO Series GSE251682. Gallus gallus. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2023View details →
geo24/100

Dynamics of the human skeletal muscle transcriptome in response to exercise training - part 1

GEO Series GSE60590. Homo sapiens. 33 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2015View details →
geo24/100

Dynamic changes of muscle insulin sensitivity after metabolic surgery I

GEO Series GSE134913. Homo sapiens. 48 samples. Type: Expression profiling by array.

openGEO-OpenAug 2019View details →
geo24/100

Spatiotemporal transcriptomic mapping of regenerative inflammation in skeletal muscle reveals a dynamic multilayered tissue architecture

GEO Series GSE223813. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing; Other.

openGEO-OpenAug 2024View details →
geo24/100

Dynamic changes of muscle insulin sensitivity after metabolic surgery

GEO Series GSE135066. Homo sapiens. 145 samples. Type: Methylation profiling by genome tiling array; Expression profiling by array.

openGEO-OpenAug 2019View details →
geo24/100

Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape [muscle]

GEO Series GSE49908. Homo sapiens. 51 samples. Type: Methylation profiling by array.

openGEO-OpenAug 2013View details →

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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