{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T15:10:17Z","timestamp":1778425817008,"version":"3.51.4"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T00:00:00Z","timestamp":1773792000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T00:00:00Z","timestamp":1778112000000},"content-version":"vor","delay-in-days":50,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100019179","name":"\"la Caixa\" Foundation","doi-asserted-by":"crossref","award":["LCF\/BQ\/EU22\/11930097"],"award-info":[{"award-number":["LCF\/BQ\/EU22\/11930097"]}],"id":[{"id":"10.13039\/501100019179","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Fulbright U.S. Student Program and Fulbright Commission Portugal"},{"DOI":"10.13039\/100020655","name":"European Health and Digital Executive Agency","doi-asserted-by":"publisher","award":["101136376"],"award-info":[{"award-number":["101136376"]}],"id":[{"id":"10.13039\/100020655","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100020655","name":"European Health and Digital Executive Agency","doi-asserted-by":"publisher","award":["101136376"],"award-info":[{"award-number":["101136376"]}],"id":[{"id":"10.13039\/100020655","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100023581","name":"National Science Foundation Graduate Research Fellowship Program","doi-asserted-by":"publisher","award":["2141064"],"award-info":[{"award-number":["2141064"]}],"id":[{"id":"10.13039\/100023581","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UID\/04923"],"award-info":[{"award-number":["UID\/04923"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"name":"MIT Bose Fellows program"},{"name":"Sekisui House"},{"name":"NCSOFT"},{"name":"NCSOFT seed grant"},{"name":"MIT Bose Fellows Program"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Data"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Tissue motions within body segments, such as the relative movements of muscles, fascia, and bone, remain largely unexplored despite their relevance to movement dysfunction, force transmission, and motor skill. Here, we present a time-synchronized multimodal dataset that bridges this gap by capturing both internal tissue dynamics and conventional biomechanical measurements during arm reaching. Thirty-six participants across three expertise levels (world-class athletes, regional athletes, and untrained individuals) performed slow, rhythmic reaching movements while we recorded data using B-mode ultrasound imaging, motion capture, electromyography, and accelerometry. The dataset includes processed signals, derived parameters (segmented reach events, tissue boundary motion, arm kinematics, tremor events, and\u00a0muscle activation levels), and metadata. Notably, using the DUSTrack point-tracking workflow, we provide trajectories for 11 points across approximately 300,000 ultrasound frames from the upper arm. This resource enables at least three primary applications: (1) supervised training and benchmarking of deep learning models for point tracking in ultrasound videos, (2) development of ultrasound-based metrics for characterizing soft tissue mechanics, and (3) biomechanical investigation of how tissue-level dynamics support motor performance. All data, processing code, and tutorials are provided in accessible formats with documentation.<\/jats:p>","DOI":"10.1038\/s41597-026-07019-3","type":"journal-article","created":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T13:05:37Z","timestamp":1773839137000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A multimodal biomechanics dataset with synchronized kinematics and internal tissue motions during reaching"],"prefix":"10.1038","volume":"13","author":[{"given":"Roger","family":"Pallar\u00e8s-L\u00f3pez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Duarte","family":"Folgado","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Uriel","family":"Magana-Salgado","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jessica","family":"Rosendorf","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enya","family":"Ryu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Micha","family":"Feigin-Almon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hugo","family":"Gamboa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luca","family":"Daniel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian W.","family":"Anthony","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Praneeth","family":"Namburi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,3,18]]},"reference":[{"key":"7019_CR1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2474-12-203","volume":"12","author":"HM Langevin","year":"2011","unstructured":"Langevin, H. M. et al. Reduced thoracolumbar fascia shear strain in human chronic low back pain. BMC Musculoskelet Disord 12, 203 (2011).","journal-title":"BMC Musculoskelet Disord"},{"key":"7019_CR2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-70982-7","volume":"14","author":"A Brandl","year":"2024","unstructured":"Brandl, A. et al. Quantifying thoracolumbar fascia deformation to discriminate acute low back pain patients and healthy individuals using ultrasound. Sci Rep 14, 20044 (2024).","journal-title":"Sci Rep"},{"key":"7019_CR3","doi-asserted-by":"publisher","first-page":"753","DOI":"10.1097\/00007632-199504000-00001","volume":"20","author":"A Vleeming","year":"1995","unstructured":"Vleeming, A., Pool-Goudzwaard, A. L., Stoeckart, R., van Wingerden, J.-P. & Snijders, C. J. The posterior layer of the thoracolumbar fascia. Spine 20, 753\u2013758 (1995).","journal-title":"Spine"},{"key":"7019_CR4","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-30407-3","volume":"13","author":"L Mohr","year":"2023","unstructured":"Mohr, L., Vogt, L., Thiel, C., Behringer, M. & Wilke, J. Myofascial force transmission between the calf and the dorsal thigh is dependent on knee angle: an ultrasound study. Sci Rep 13, 3738 (2023).","journal-title":"Sci Rep"},{"key":"7019_CR5","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.jbiomech.2008.09.027","volume":"42","author":"PA Huijing","year":"2009","unstructured":"Huijing, P. A. Epimuscular myofascial force transmission: A historical review and implications for new research. International society of biomechanics Muybridge award lecture, Taipei, 2007. Journal of Biomechanics 42, 9\u201321 (2009).","journal-title":"Journal of Biomechanics"},{"key":"7019_CR6","doi-asserted-by":"publisher","first-page":"575672","DOI":"10.1155\/2010\/575672","volume":"2010","author":"H Maas","year":"2010","unstructured":"Maas, H. & Sandercock, T. G. Force Transmission between Synergistic Skeletal Muscles through Connective Tissue Linkages. J Biomed Biotechnol 2010, 575672 (2010).","journal-title":"J Biomed Biotechnol"},{"key":"7019_CR7","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-17092-0","volume":"15","author":"P Namburi","year":"2025","unstructured":"Namburi, P. et al. Efficient elastic tissue motions indicate general motor skill. Sci Rep 15, 36532 (2025).","journal-title":"Sci Rep"},{"key":"7019_CR8","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-019-0285-1","volume":"6","author":"NJ Jarque-Bou","year":"2019","unstructured":"Jarque-Bou, N. J., Vergara, M., Sancho-Bru, J. L., Gracia-Ib\u00e1\u00f1ez, V. & Roda-Sales, A. A calibrated database of kinematics and EMG of the forearm and hand during activities of daily living. Sci Data 6, 270 (2019).","journal-title":"Sci Data"},{"key":"7019_CR9","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1007\/s11370-019-00293-8","volume":"13","author":"M Han","year":"2020","unstructured":"Han, M., G\u00fcnay, S. Y., Schirner, G., Pad\u0131r, T. & Erdo\u011fmu\u015f, D. HANDS: a multimodal dataset for modeling toward human grasp intent inference in prosthetic hands. Intel Serv Robotics 13, 179\u2013185 (2020).","journal-title":"Intel Serv Robotics"},{"key":"7019_CR10","doi-asserted-by":"publisher","DOI":"10.1093\/gigascience\/giaa098","volume":"9","author":"J-H Jeong","year":"2020","unstructured":"Jeong, J.-H. et al. Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions. GigaScience 9, giaa098 (2020).","journal-title":"GigaScience"},{"key":"7019_CR11","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-021-01107-2","volume":"9","author":"MP Furmanek","year":"2022","unstructured":"Furmanek, M. P., Mangalam, M., Yarossi, M., Lockwood, K. & Tunik, E. A kinematic and EMG dataset of online adjustment of reach-to-grasp movements to visual perturbations. Sci Data 9, 23 (2022).","journal-title":"Sci Data"},{"key":"7019_CR12","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-02313-w","volume":"10","author":"E Mastinu","year":"2023","unstructured":"Mastinu, E., Coletti, A., Mohammad, S. H. A., Van Den Berg, J. & Cipriani, C. HANDdata \u2013 first-person dataset including proximity and kinematics measurements from reach-to-grasp actions. Sci Data 10, 405 (2023).","journal-title":"Sci Data"},{"key":"7019_CR13","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-02031-3","volume":"10","author":"\u00d3G Hern\u00e1ndez","year":"2023","unstructured":"Hern\u00e1ndez, \u00d3. G. et al. A kinematic, imaging and electromyography dataset for human muscular manipulability index prediction. Sci Data 10, 132 (2023).","journal-title":"Sci Data"},{"key":"7019_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.5201\/ipol.2024.494","volume":"14","author":"SW Combettes","year":"2024","unstructured":"Combettes, S. W. et al. Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination. Image Processing On Line 14, 1\u201313 (2024).","journal-title":"Image Processing On Line"},{"key":"7019_CR15","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-025-04552-5","volume":"12","author":"D Di Domenico","year":"2025","unstructured":"Di Domenico, D. et al. Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements. Sci Data 12, 233 (2025).","journal-title":"Sci Data"},{"key":"7019_CR16","doi-asserted-by":"publisher","unstructured":"Rima, A. H., Taghizadeh, Z., Bashatah, A., Aher, A. & Sikdar, S. Miniaturized Wearable Ultrasound System for Simultaneous Prediction of Wrist Angle and Grip Force During Dynamic Reaching. in 2025 International Conference On Rehabilitation Robotics (ICORR) 767\u2013772, https:\/\/doi.org\/10.1109\/ICORR66766.2025.11063113 (IEEE, Chicago, IL, USA, 2025).","DOI":"10.1109\/ICORR66766.2025.11063113"},{"key":"7019_CR17","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-025-06039-9","volume":"12","author":"BR Thapa","year":"2025","unstructured":"Thapa, B. R., Boggess, J. & Bae, J. A large electroencephalogram database of freewill reaching and grasping tasks for brain machine interfaces. Sci Data 12, 1760 (2025).","journal-title":"Sci Data"},{"key":"7019_CR18","doi-asserted-by":"publisher","unstructured":"Krakauer, J. W. Motor Learning and Consolidation: The Case of Visuomotor Rotation. in Progress in Motor Control: A Multidisciplinary Perspective (ed. Sternad, D.) 405\u2013421, https:\/\/doi.org\/10.1007\/978-0-387-77064-2_21 (Springer US, Boston, MA, 2009).","DOI":"10.1007\/978-0-387-77064-2_21"},{"key":"7019_CR19","doi-asserted-by":"publisher","first-page":"3208","DOI":"10.1523\/JNEUROSCI.14-05-03208.1994","volume":"14","author":"R Shadmehr","year":"1994","unstructured":"Shadmehr, R. & Mussa-Ivaldi, F. A. Adaptive representation of dynamics during learning of a motor task. J. Neurosci. 14, 3208\u20133224 (1994).","journal-title":"J. Neurosci."},{"key":"7019_CR20","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/S0165-0270(99)00053-9","volume":"89","author":"SH Scott","year":"1999","unstructured":"Scott, S. H. Apparatus for measuring and perturbing shoulder and elbow joint positions and torques during reaching. Journal of Neuroscience Methods 89, 119\u2013127 (1999).","journal-title":"Journal of Neuroscience Methods"},{"key":"7019_CR21","doi-asserted-by":"publisher","first-page":"1661","DOI":"10.1016\/j.apmr.2005.02.008","volume":"86","author":"AG Mell","year":"2005","unstructured":"Mell, A. G., Childress, B. L. & Hughes, R. E. The Effect of Wearing a Wrist Splint on Shoulder Kinematics During Object Manipulation. Archives of Physical Medicine and Rehabilitation 86, 1661\u20131664 (2005).","journal-title":"Archives of Physical Medicine and Rehabilitation"},{"key":"7019_CR22","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1007\/PL00005769","volume":"116","author":"NL Port","year":"1997","unstructured":"Port, N. L., Lee, D., Dassonville, P. & Georgopoulos, A. P. Manual interception of moving targets. I. Performance and movement initiation. Exp Brain Res 116, 406\u2013420 (1997).","journal-title":"Exp Brain Res"},{"key":"7019_CR23","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1038\/nn1010","volume":"6","author":"A d\u2019Avella","year":"2003","unstructured":"d\u2019Avella, A., Saltiel, P. & Bizzi, E. Combinations of muscle synergies in the construction of a natural motor behavior. Nat Neurosci 6, 300\u2013308 (2003).","journal-title":"Nat Neurosci"},{"key":"7019_CR24","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1038\/nature11129","volume":"487","author":"MM Churchland","year":"2012","unstructured":"Churchland, M. M. et al. Neural population dynamics during reaching. Nature 487, 51\u201356 (2012).","journal-title":"Nature"},{"key":"7019_CR25","doi-asserted-by":"publisher","first-page":"e51994","DOI":"10.2196\/51994","volume":"26","author":"E Karoulla","year":"2024","unstructured":"Karoulla, E. et al. Tracking Upper Limb Motion via Wearable Solutions: Systematic Review of Research From 2011 to 2023. J Med Internet Res 26, e51994 (2024).","journal-title":"J Med Internet Res"},{"key":"7019_CR26","doi-asserted-by":"publisher","first-page":"74107","DOI":"10.1109\/ACCESS.2025.3564350","volume":"13","author":"R Santanch\u00e9","year":"2025","unstructured":"Santanch\u00e9, R., Centrone, A., Mattei, L. & Di Puccio, F. Open Datasets for Upper Limb Motion\u2014A Systematic Review. IEEE Access 13, 74107\u201374127 (2025).","journal-title":"IEEE Access"},{"key":"7019_CR27","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1152\/japplphysiol.00835.2019","volume":"128","author":"B Van Hooren","year":"2020","unstructured":"Van Hooren, B., Teratsias, P. & Hodson-Tole, E. F. Ultrasound imaging to assess skeletal muscle architecture during movements: a systematic review of methods, reliability, and challenges. J Appl Physiol (1985) 128, 978\u2013999 (2020).","journal-title":"J Appl Physiol (1985)"},{"key":"7019_CR28","doi-asserted-by":"publisher","unstructured":"Namburi, P., Pallar\u00e8s-L\u00f3pez, R., Rosendorf, J., Folgado, D. & Anthony, B. W. DUSTrack: Semi-automated point tracking in ultrasound videos. Sci. Rep. https:\/\/doi.org\/10.1038\/S41598-026-42795-3 (2026).","DOI":"10.1038\/S41598-026-42795-3"},{"key":"7019_CR29","first-page":"359","volume":"17","author":"FE Zajac","year":"1989","unstructured":"Zajac, F. E. Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control. Critical Reviews in Biomedical Engineering 17, 359\u2013411 (1989).","journal-title":"Critical Reviews in Biomedical Engineering"},{"key":"7019_CR30","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1007\/s10439-005-1433-7","volume":"33","author":"SS Blemker","year":"2005","unstructured":"Blemker, S. S. & Delp, S. L. Three-Dimensional Representation of Complex Muscle Architectures and Geometries. Ann Biomed Eng 33, 661\u2013673 (2005).","journal-title":"Ann Biomed Eng"},{"key":"7019_CR31","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.jbmt.2016.11.003","volume":"21","author":"S Adstrum","year":"2017","unstructured":"Adstrum, S., Hedley, G., Schleip, R., Stecco, C. & Yucesoy, C. A. Defining the fascial system. Journal of Bodywork and Movement Therapies 21, 173\u2013177 (2017).","journal-title":"Journal of Bodywork and Movement Therapies"},{"key":"7019_CR32","doi-asserted-by":"publisher","first-page":"1009","DOI":"10.1097\/00006534-199106000-00001","volume":"87","author":"TE Lockwood","year":"1991","unstructured":"Lockwood, T. E. Superficial Fascial System (SFS) of the Trunk and Extremities: A New Concept. Plastic and Reconstructive Surgery 87, 1009 (1991).","journal-title":"Plastic and Reconstructive Surgery"},{"key":"7019_CR33","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.morpho.2007.05.002","volume":"91","author":"C Stecco","year":"2007","unstructured":"Stecco, C. et al. Anatomy of the deep fascia of the upper limb. Second part: study of innervation. Morphologie 91, 38\u201343 (2007).","journal-title":"Morphologie"},{"key":"7019_CR34","doi-asserted-by":"publisher","first-page":"975","DOI":"10.1016\/S0363-5023(97)80035-4","volume":"22","author":"DP Birkbeck","year":"1997","unstructured":"Birkbeck, D. P., Failla, J. M., Hoshaw, S. J., Fyhrie, D. P. & Schaffler, M. The interosseous membrane affects load distribution in the forearm. The Journal of Hand Surgery 22, 975\u2013980 (1997).","journal-title":"The Journal of Hand Surgery"},{"key":"7019_CR35","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1001\/jamacardio.2021.6059","volume":"7","author":"G Duffy","year":"2022","unstructured":"Duffy, G. et al. High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy With Cardiovascular Deep Learning. JAMA Cardiology 7, 386\u2013395 (2022).","journal-title":"JAMA Cardiology"},{"key":"7019_CR36","doi-asserted-by":"publisher","first-page":"e7120","DOI":"10.7717\/peerj.7120","volume":"7","author":"JF Drazan","year":"2019","unstructured":"Drazan, J. F., Hullfish, T. J. & Baxter, J. R. An automatic fascicle tracking algorithm quantifying gastrocnemius architecture during maximal effort contractions. PeerJ 7, e7120 (2019).","journal-title":"PeerJ"},{"key":"7019_CR37","doi-asserted-by":"crossref","unstructured":"Chen, W., Schmidt, A., Prisman, E. & Salcudean, S. E. PIPsUS: Self-supervised Point Tracking in Ultrasound. in Simplifying Medical Ultrasound (eds. Gomez, A., Khanal, B., King, A. & Namburete, A.) 15186, 47\u201357 (Springer Nature Switzerland, Cham, 2025).","DOI":"10.1007\/978-3-031-73647-6_5"},{"key":"7019_CR38","doi-asserted-by":"crossref","unstructured":"Azad, M. A. et al. EchoTracker: Advancing Myocardial Point Tracking in Echocardiography. in Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2024 (eds. Linguraru, M. G. et al.) 15004, 645\u2013655 (Springer Nature Switzerland, Cham, 2024).","DOI":"10.1007\/978-3-031-72083-3_60"},{"key":"7019_CR39","doi-asserted-by":"crossref","unstructured":"Karaev et al. CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos. Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), 2025.","DOI":"10.1109\/ICCV51701.2025.00568"},{"key":"7019_CR40","doi-asserted-by":"publisher","DOI":"10.6084\/m9.figshare.31030252","author":"R Pallar\u00e8s-L\u00f3pez","year":"2026","unstructured":"Pallar\u00e8s-L\u00f3pez, R. et al. A Multimodal Biomechanics Dataset with Synchronized Kinematics and Internal Tissue Motions during Reaching. Figshare https:\/\/doi.org\/10.6084\/m9.figshare.31030252 (2026)."},{"key":"7019_CR41","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1146\/annurev.psych.47.1.273","volume":"47","author":"KA Ericsson","year":"1996","unstructured":"Ericsson, K. A. & Lehmann, A. C. Expert and exceptional performance: Evidence of maximal adaptation to task constraints. Annual Review of Psychology 47, 273\u2013305 (1996).","journal-title":"Annual Review of Psychology"},{"key":"7019_CR42","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1080\/00222890903267116","volume":"42","author":"RPRD van der Wel","year":"2009","unstructured":"van der Wel, R. P. R. D., Sternad, D. & Rosenbaum, D. A. Moving the Arm at Different Rates: Slow Movements are Avoided. Journal of Motor Behavior 42, 29\u201336 (2009).","journal-title":"Journal of Motor Behavior"},{"key":"7019_CR43","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1152\/jn.00643.2016","volume":"118","author":"S-W Park","year":"2017","unstructured":"Park, S.-W., Marino, H., Charles, S. K., Sternad, D. & Hogan, N. Moving slowly is hard for humans: limitations of dynamic primitives. Journal of Neurophysiology 118, 69\u201383 (2017).","journal-title":"Journal of Neurophysiology"},{"key":"7019_CR44","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1039\/b922045c","volume":"135","author":"Z-M Zhang","year":"2010","unstructured":"Zhang, Z.-M., Chen, S. & Liang, Y.-Z. Baseline correction using adaptive iteratively reweighted penalized least squares. Analyst 135, 1138\u20131146 (2010).","journal-title":"Analyst"},{"key":"7019_CR45","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1109\/5.662875","volume":"86","author":"MJ Ackerman","year":"1998","unstructured":"Ackerman, M. J. The Visible Human Project. Proceedings of the IEEE 86, 504\u2013511 (1998).","journal-title":"Proceedings of the IEEE"},{"key":"7019_CR46","doi-asserted-by":"publisher","DOI":"10.1186\/s12938-023-01105-y","volume":"22","author":"U Magana-Salgado","year":"2023","unstructured":"Magana-Salgado, U., Namburi, P., Feigin-Almon, M., Pallares-Lopez, R. & Anthony, B. A comparison of point-tracking algorithms in ultrasound videos from the upper limb. BioMed Eng OnLine 22, 52 (2023).","journal-title":"BioMed Eng OnLine"}],"container-title":["Scientific Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41597-026-07019-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41597-026-07019-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41597-026-07019-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T15:04:47Z","timestamp":1778425487000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41597-026-07019-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,18]]},"references-count":46,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["7019"],"URL":"https:\/\/doi.org\/10.1038\/s41597-026-07019-3","relation":{"references":[{"id-type":"doi","id":"10.6084\/m9.figshare.31030252","asserted-by":"subject"}]},"ISSN":["2052-4463"],"issn-type":[{"value":"2052-4463","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,18]]},"assertion":[{"value":"23 October 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 March 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 March 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"709"}}