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Fig 3 in Proximate composition and its seasonal variations of the muscle tissue of Channa striata from Krishna river, Andhra Pradesh
Fig 3: Moisture content variations in muscle of male and female C. striata
Fig 1 in Proximate composition and its seasonal variations of the muscle tissue of Channa striata from Krishna river, Andhra Pradesh
Fig 1: Protein content variations in muscle of male and female C. striata
Fig. 1 in Difference in reproduction energy content in muscles on fish from reservoirs in Paraná State, Brazil
Fig. 1. Location of the reservoirs sampled in the present study, Paraná State.
Light-driven multidirectional bending in artificial muscles dataset
<h1>General Description</h1> <p>This dataset accompanies our research on the development of programmable artificial muscles. By integrating photothermal components into shape memory polymer actuators, we have created a system that exhibits on-command multidirectional bending, controlled by illumination intensity and the chirality of the actuators. The dataset showcases the rapid response of these artificial muscles, with reaction times significantly faster than natural heliotropic systems.</p> <p>The Python code that processes shared data can be found at <a href="https://github.com/p3d2/LTCAM">https://github.com/p3d2/LTCAM</a>.</p> <h1>About Dataset</h1> <p>The folder "data" (inside data.zip) contains thermal videos and recordings of yarns for photothermal actuation measurements. Zahra Madani produced and extruded the filaments, Maija Vaara and Laura Koskelo twisted and winded the filaments, Susobhan Das, and Camilo Arias made the photoactivation recordings and Pedro Silva made the measurements. Samples names can be found in the table below and measurements were performed not sequentially. The "Materials Characterization.zip" contains DMA, DSC, FTIR, Rheology, Tensile, and TGA measurements. The following information in this readme considers the documents inside the data folder only. </p> <h3>Folders, Files & File formats</h3> <p>If the data includes images or audio, you can mention the file format eg.(.svg, .png, .mpeg)</p> <ul> <li>LTCAM:<br>- 14 npy pixel data with temperatures (mat files)<br>- 14 npy time data (time files)<br>- Supplementary images of samples and experimental setup</li> <li>Butterfly: <br>- 2 npz pixel with temperatures and time data<br>- 2 mp4 recordings of the activation of wings</li> <li>Rotating:<br>- 6 npz pixel with temperatures and time data<br>- 6 mp4 recordings of activation of samples in a rotating platform</li> </ul> <h3>Optical parameters setup for 'LTCAM' experiments</h3> <ul> <li><strong>Laser specification</strong>: Ultrafast laser with pulse width 230 fs and repetition rate 2kHz. (Spectra-Physics, TOPAS)</li> <li>Incident wavelength: 800nm (Horizontal polarization)</li> <li>Beam Diameter: 5 mm</li> <li>Average Power: tunable based on experimental need</li> <li>Beam Diameter is larger than the width of the sample. Therefore, to calculate the effective incident power, it has to be the fraction of the total power based on the area of the sample exposed.</li> <li><strong>Lens System</strong>: A part of experiment is done under the focused light condition with a lens of 100mm focal length.</li> <li><strong>Power Meter</strong>: Thorlab Power meter (Model No. S401C) is used to measure the incident power on the sample.(Wavelength range: 190nm to 20000nm). <br>- Setup photo:<br><br><br></li> </ul> <h3>Optical parameters setup for 'Butterfly' and 'Rotating' experiments</h3> <ul> <li>Laser: Cobolt 06-MLD | 808 nm | max power = 100 mW</li> <li>Setup photo:</li> </ul> <h1>LTCAM Samples details</h1> <p>Pictures of samples:</p> <p>| Name in the article | Sample No. | Mandrel Dia (mm) | Original length (cm) | Twisting (rounds) | Twists/cm | Twisting Direction | coiling direction |<br>| ---------- | ---------- | ----------- | ---------------- | ------------- | -------- | ------------- | ------------ |<br>| ZSØ1A | M733 | 1 | 50 | 260 | 5.20 | z | s |<br>| ZSØ2A | M734 | 2 | 50 | 301 | 6.02 | z | s |<br>| ZSØ1B | M781 | 1 | 50 | 258 | 5.16 | z | s |<br>| ZSØ1C | M782 | 1 | 50 | 262 | 5.24 | z | s |<br>| ZSØ2B | M783 | 2 | 48 | 270 | 5.63 | z | s |<br>| ZSØ2C | M784 | 2 | 50 | 227 | 4.54 | z | s |<br>| ZZØ2A | M785 | 2 | 50 | 339 | 6.78 | s | s |<br>| ZZØ2B | M786 | 2 | 50 | 226 | 4.52 | s | s |</p> <h3>Experiments 'LTCAM'</h3> <p>| Filename | Sample name | Laser power (mW) | Time ON (s) | Time OFF (s) | Cycles |<br>|-------------------|----------------|---------------------|---------------|---------------|--------|<br>| 230414_112622 | ZSØ2A | 50 | 60 | 30 | 1 |<br>| 230414_112851 | ZSØ2A | 100 | 60 | 30 | 1 |<br>| 230414_113149 | ZSØ2A | 150 | 60 | 30 | 1 |<br>| 230414_113420 | ZSØ2A | 200 | 60 | 30 | 1 |<br>| 230414_113656 | ZSØ2A | 250 | 60 | 30 | 1 |<br>| 230414_113955 | ZSØ2A | 300 | 60 | 30 | 1 |<br>| 230414_114838 | ZSØ1B | 300 | 30 | 30 | 3 |<br>| 230414_115518 | ZSØ1C | 300 | 30 | 30 | 3 |<br>| 230414_120115 | ZSØ2B | 300 | 30 | 30 | 3 |<br>| 230414_120714 | ZSØ2C | 300 | 30 | 30 | 3 |<br>| 230414_121714 | ZZØ2B | 300 | 30 | 30 | 3 |<br>| 230414_122255 | ZZØ2A | 300 | 30 | 30 | 3 |<br>| 230414_122808 | ZSØ2A | 300 | 30 | 30 | 3 |<br>| 230414_123244 | ZSØ1A | 300 | 30 | 30 | 3 |</p> <h3>Experiments 'Butterfly'</h3> <p>| Filename (Recording) | Filename (IR video) | Laser power (mW) | Time ON (s) | Time OFF (s) | Cycles | Obs. |<br>|---------------------------|----------------------|---------------------|---------------|---------------|--------|------------------------|<br>| 20231002_134454162 | 231002_164924 | 100 | 1 | 1 | 100 | Left wing activation |<br>| 20231002_135842563 | 231002_170312 | 100 | 1 | 1 | 100 | Right wing activation |</p> <h3>Experiments 'Rotating'</h3> <p>| Filename (Recording) | Filename (IR video) | Laser power (mW) | Time ON (s) | Rotation deg/s (measured) |<br>|---------------------------|-----------------------|---------------------|-------------|--------------------------------|<br>| 20231003_073512244 | 231003_103940 | 100 | 120 | -28.0 |<br>| 20231003_073755982 | 231003_104223 | 100 | 120 | -6.6 |<br>| 20231003_074535766 | 231003_105003 | 100 | 120 | -15.3 |<br>| 20231003_085141041 | 231003_115608 | 100 | 120 | 5.2 |<br>| 20231003_085417756 | 231003_115845 | 100 | 120 | 27.3 |<br>| 20231003_085716949 | 231003_120144 | 100 | 120 | 12.8 |</p> <p> </p>
Optimising C2C12 muscle myoblast transfection with polyethylenimine (PEI) or Lipofectamine-2000
<p>Optimisation of DNA transfection of the C2C12 muscle myoblast cell line, comparing use of polyethylenimine (PEI) and Lipofectamine-2000 with varying treatment conditions. </p>
Muscle activity, ground reaction forces and pointing performance during postural control tasks in healthy adults
<p>To investigate the muscle coordination during postural control, we recorded muscle activity and postural dynamics in healthy human adults. Fourteen participants performed postural tasks in which postural stability and pointing behaviour was varied. The data set contains electromyography of 36 muscles distributed across the body and ground reaction forces recorded during postural control tasks. A full factorial design was used. Stability was either not challenged or challenged in the anterior-posterior or medial-lateral direction. In addition, participants were asked to either relax their arms or to perform an unimanual or a bimanual pointing task. In the pointing task, participants held a laser pointer and pointed it on a target in front of them. Pointing performance was recorded using a video recording of the laser beam on the target area.</p> <p>InformationData.pdf – Description of data acquisition and file structure<br> EMG.zip – EMG data<br> FP.zip – Force plate data<br> Video.zip – Video feed</p>
Segmenting Mechanomyography Measures of Muscle Activity Phases Using Inertial Data
<p>This dataset contains the data used in our manuscript titled "Segmenting Mechanomyography Measures of Muscle Activity Phases Using Inertial Data". Data structure is explained in the README.txt file located at the top-level of the dataset. Manuscript title in the README.txt file and contained in the title of the zip file are of a previous working title.</p> <p>Please contact corresponding author Richard B. Woodward for any questions.</p>
DIFFERENTIAL REGULATION OF MYOFIBRILLAR PROTEINS IN SKELETAL MUSCLES OF SEPTIC MICE
<p>Supplemental Table S1</p> <p>Supplemental Table S2</p> <p>Supplemental Figure S1</p> <p>Supplemental Figure S2</p> <p>Supplemental Figure S3</p> <p>Supplemental Figure S4</p>
Data - Medial gastrocnemius muscle remodeling correlates with reduced plantar flexor kinetics fourteen weeks following Achilles tendon rupture
<p>ultrasound images and biodex data published used in analysis.</p> <p>study timeline:</p> <p>s1 - week 0</p> <p>s2 - week 2</p> <p>s3 - week 4</p> <p>s4 - week 6</p> <p>s5 - week 10</p> <p>s6 - week 14</p>
Thoracic endoskeleton and posterior leg muscles in queen of ant Cataglyphis savignyi
<p>The external trochanter muscles (orange) of mid- and hindlegs originate on fused meso- and metafurcae (blue) in <em>Cataglyphis savignyi</em> queens. Depressor muscles of the petiole (light blue) originate on base of T3 furca.<br> </p> <p><strong>Micro-CT </strong>scans were performed at the Okinawa Institute of Science and Technology Graduate University, Japan<strong>.</strong></p> <p><strong>Segmentation </strong>of the reconstructed image stacks was performed with ITK-SNAP 3.6.0. Structures were segmented manually.</p>
Figure 1 in Investigations of the nervous system biomarkers in the brain and muscle of freshwater fish (Oreochromis niloticus) following accumulation of nanoparticles in the tissues
Figure 1. TEM images of muscle (A) and brain (B) tissue samples of control fish (O. niloticus).
Table 1 in Proximate composition and its seasonal variations of the muscle tissue of Channa striata from Krishna river, Andhra Pradesh
<p><b>Table 1:</b> Variations of biochemical composition of muscle. <i>C</i>. <i>striata</i> (females)</p><table><tbody><tr><th><b>Seasons</b></th><th><b>Months Protein 2021-2022</b></th><th><b>Fat</b></th><th><b>Moisture</b></th><th><b>Ash</b></th></tr></tbody><tbody><tr><th>South West Monsoon</th><td>June</td><td>22.9</td><td>5.1</td><td>81.5</td><td>1.75</td></tr><tr><td>July</td><td>23.5</td><td>4.9</td><td>82.6</td><td>1.87</td></tr><tr><td>August</td><td>24.3</td><td>4.3</td><td>83.8</td><td>1.99</td></tr><tr><td>September</td><td>23.8</td><td>4.5</td><td>83.4</td><td>2.03</td></tr><tr><th>Post Monsoon</th><td>October November</td><td>22.8 21.5</td><td>4.8 5.2</td><td>83 82</td><td>2.12 2.19</td></tr><tr><th>North East Monsoon</th><td>December January February</td><td>20.4 21.5 21.2</td><td>5.4 4.9 4.6</td><td>82.1 82.3 82.2</td><td>2.01 1.96 1.81</td></tr><tr><th>Summer</th><td>March</td><td>21.8</td><td>4.5</td><td>80.2</td><td>1.79</td></tr><tr><td>April</td><td>22.3</td><td>4.6</td><td>81.5</td><td>1.61</td></tr><tr><td>May</td><td>22.4</td><td>5.2</td><td>80.5</td><td>1.75</td></tr><tr><th></th><td>Min.</td><td>20.4</td><td>4.3</td><td>80.2</td><td>1.61</td></tr><tr><th></th><td>Max.</td><td>24.3</td><td>5.4</td><td>83.8</td><td>2.19</td></tr><tr><th></th><td>Avg. 22.36±2.24.83±0.582.09±5.91.90±0.06</td></tr></tbody></table>
Table 2 in Proximate composition and its seasonal variations of the muscle tissue of Channa striata from Krishna river, Andhra Pradesh
<p><b>Table 2:</b> Variations of biochemical composition of muscle. <i>C</i>. <i>striata</i> (males)</p><table><tbody><tr><th><b>Seasons</b></th><th><b>Months Protein 2021-2022</b></th><th><b>Fat</b></th><th><b>Moisture</b></th><th><b>Ash</b></th></tr></tbody><tbody><tr><th>South West Monsoon</th><td>June</td><td>23.7</td><td>5.4</td><td>82.4</td><td>1.79</td></tr><tr><td>July</td><td>23.8</td><td>5.1</td><td>83.1</td><td>1.65</td></tr><tr><td>August</td><td>25.2</td><td>4.5</td><td>84.2</td><td>2.05</td></tr><tr><td>September</td><td>25.1</td><td>4.7</td><td>83.8</td><td>2.14</td></tr><tr><th>Post Monsoon</th><td>October November</td><td>24.2 23.5</td><td>4.9 5.3</td><td>82.9 83.2</td><td>2.1 2.25</td></tr><tr><th>North East Monsoon</th><td>December January February</td><td>22.4 22.3 23.2</td><td>5.5 4.6 4.4</td><td>81.2 81.5 80.5</td><td>1.96 1.85 1.72</td></tr><tr><th>Summer</th><td>March</td><td>22.6</td><td>3.8</td><td>80.4</td><td>1.65</td></tr><tr><td>April</td><td>23.5</td><td>3.6</td><td>81.5</td><td>1.84</td></tr><tr><td>May</td><td>22.5</td><td>4.8</td><td>80.6</td><td>1.89</td></tr><tr><th></th><td>Min.</td><td>22.3</td><td>3.6</td><td>80.4</td><td>1.72</td></tr><tr><th></th><td>Max.</td><td>25.2</td><td>5.5</td><td>84.2</td><td>2.25</td></tr><tr><th></th><td>Avg. 23.5±2.54.71±0.582.10±5.81.90±0.05</td></tr></tbody></table>
Mega-MUSCLES survey paper updated SEDs
<p>Spectral Energy Distributions (SEDs) for M dwarf stars described in Wilson et al. 2024. Use this repository until the updated SEDs are avaialable at MAST. For simplicty only the full SEDs are incuded here (as described in Section 3.7 of the paper), please contact David Wilson david.wilson@lasp.coloroado.edu for sub-spectra. The tar file contains all four formats of the SEDs for all stars. </p>
mass spectrometry metabolomic analysis of Drosophila head extracts: 3 genotypes (control, RNAi Opa1 in muscle, RNAi Marf in muscle), 2 ages (30 days, 65 days)
<p>RNAi of the Drosophila mitochondrial fusion genes Opa1 and Marf (Mitofusin 2) in the muscle results in an extended lifespan. In order to detect metabolic changes in lipid in the neural tissue, we analysed the metabolome of fly heads by mass spectroscopy, comparing the two knock-down genotypes to a wild type control at two ages: 30 days (young flies) and 65 days (old flies).</p>
NMR metabolomic analysis of Drosophila extracts: 3 genotypes (control, RNAi Opa1 in muscle, RNAi Marf in muscle), 3 body regions (head, thorax, abdomen), 2 ages (30 days, 65 days)
<p>RNAi of the Drosophila mitochondrial fusion genes Opa1 and Marf (Mitofusin 2) in the muscle results in an extended lifespan. In order to unravel the metabolic changes in the long-living flies we analysed the metabolome by NMR spectroscopy, comparing the two knock-down genotypes to a wild type control at two ages: 30 days (young flies) and 65 days (old flies). In order to detect autonomous and non-autonomous changes, we also divided the samples in three anatomical regions: head (mostly neural tissue) thorax (mostly muscle), and abdomen (visceral, reproductive, metabolic control)</p>
Extraordinarily rapid proliferation of cultured muscle satellite cells from migratory birds
<p>Migratory birds experience bouts of muscle growth and depletion as they prepare for, and undertake prolonged flight. Our studies of migratory bird muscle physiology <i>in vitro</i> led to the discovery that sanderling (<i>Calidris alba</i>) muscle satellite cells proliferate more rapidly than other normal cell lines. Here we determined the proliferation rate of muscle satellite cells isolated from five migratory species (sanderling; ruff, <i>Calidris pugnax</i>; western sandpiper, <i>Calidris mauri</i>; yellow-rumped warbler, <i>Setophaga coronata</i>; Swainson's thrush, <i>Catharus ustulatus</i>) from two families (shorebirds and songbirds) and with different migratory strategies. Ruff and sanderling satellite cells exhibited rapid proliferation, with population doubling times of 9.3±1.3 and 11.4±2.0 hrs whereas the remaining species' cell doubling times were ≥24 hrs. The results indicate that the rapid proliferation of satellite cells is not associated with total migration distance but may be related to flight bout duration and interact with lifespan.</p>
Figure 7 in New species of Paraodontomma from mid-Cretaceous Burmese amber with muscle tissue preservation (Coleoptera: Archostemata: Ommatidae)
Figure 7. Details of Paraodontomma leptocristatum sp. nov., holotype, NIGP174676, under confocal microscopy, with depth color-coding. (A) Mouthparts, anterior view. (B) Procoxae, ventral view. (C) Mesocoxae, ventral view. (D) Epipleuron, ventral view. (E) Mesotarsus, ventral view. (F) Metatarsus, ventral view. (G) Abdominal apex, ventral view. (H) Anterior portion of head, posterodorsal view. (I) Elytra, dorsal view. Scale bars: 200 μm.
Figure 11 in New species of Paraodontomma from mid-Cretaceous Burmese amber with muscle tissue preservation (Coleoptera: Archostemata: Ommatidae)
Figure 11. Details of Paraodontomma szwedoi, holotype, NIGP169926, under confocal microscopy. (A) Mouthparts, ventral view. (B) Procoxae, ventral view. (C) Epipleuron, ventral view, showing the wavily arranged teeth along the outer elytral margin (arrowheads). (D) Anterior portion of head, dorsal view. (E) Pronotum, dorsal view. (F) Elytra, dorsal view. Abbreviations: an1 = antennomere 1; ep = epipleuron; lb = labrum; lbp = labial palp; md = mandible; msf = mesofemur; mxp = maxillary palp; pc = procoxa; pn = pronotum; ps = prosternum; ptc = protrochanter; wp = window punctures. Scale bars: 200 μm in (A, F), 400 μm in (B-E).
Figure 4. X in New species of Paraodontomma from mid-Cretaceous Burmese amber with muscle tissue preservation (Coleoptera: Archostemata: Ommatidae)
Figure 4. X-ray microtomographic reconstruction of Paraodontomma leptocristatum sp. nov., holotype, NIGP174676. (A) Dorsal view. (B) Ventral view. (C) Lateral view. Scale bar: 1.5 mm.
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