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45 results for “limb loss”
Data from: Non-consumptive predator effects modify crayfish induced bioturbation as mediated by limb loss: field and mesocosm experiments
1. We addressed the implications of limb loss and regeneration for multi-species interactions and their impacts on ecosystem engineering in freshwater stream environments. 2. We included regenerative and non-regenerative crayfish as well as fish predators in a 2x2 factorial design to assess the effects on water turbidity of interactions between crayfish ecosystem engineers differing in regenerative status and their fish predators. 3. We demonstrated that crayfish limb loss and predation risks lead to more turbidity in field and mesocosm conditions. Moreover, ongoing regeneration of crayfish increased turbidity, while fish presence seemed to hinder crayfish turbidity-inducing behaviors (such as tail-flipping and burrowing) in the mesocosm experiment. 4. We confirmed that greater numbers of crayfish produce a greater amount of turbidity in-situ in streams. 5. Although mechanical burrowing crayfish capacities may depend on crayfish burrowing classification (primary, secondary, or tertiary), our work emphasizes the implication for turbidity levels of crayfish autotomy in freshwater streams.
Motor Learning in Individuals With Lower Limb Loss and Chronic Diabetes
ClinicalTrials.gov study NCT03989063. IPD Sharing: NO. Countries: 1. Publications: 1.
Innovative Prosthetic Systems for Pediatric Limb Loss to Accommodate Growth
ClinicalTrials.gov study NCT05230004. IPD Sharing: NO. Countries: 1. Publications: 2.
Data from: Nonconsumptive predator effects modify crayfish-induced bioturbation as mediated by limb loss: field and mesocosm experiments
Open the record for dataset details and reuse information.
Data from: Cut your losses: self-amputation of injured limbs increases survival
Autotomy, self-induced limb loss, is an extreme trait observed throughout the animal kingdom; lizards drop their tails, crickets release their legs, and crabs drop their claws. These repeated evolutionary origins suggest that autotomy is adaptive. Yet, we do not have a firm understanding of the selective pressures that promote and maintain this extreme trait. Although multiple adaptive hypotheses exist, research has generally focused on autotomy's adaptive value as a form of predator escape. However, autotomy could also be selected to reduce the cost of an injured limb, which we investigate here. Previously, this alternative hypothesis has been challenging to directly test because when an injury occurs on an autotomizable limb, that limb is almost always dropped (i.e., autotomy is behaviorally fixed within populations). Recently, however, we have identified a species, Narnia femorata (Insecta: Hemiptera: Coreidae), where some individuals autotomize limbs in response to injury, but some do not. This natural variation allowed us to investigate both the survival costs of retaining an injured limb and the benefits of autotomizing it. In this study, we find a positive association between autotomizing injured limbs and survival, thereby quantifying a new and likely widespread benefit of autotomy—reducing the cost of injury.
Comparing the mechanical energetics of walking among individuals with unilateral transfemoral limb loss using socket and osseointegrated prosthetic interfaces
<p>Biomechanical data (kinematics, kinetics) collected during overground walking from 8 individuals with unilateral transfemoral amputation both pre- and 24-months post-femoral osseointegration.</p>
A Sensory Neuroprosthesis Enhances Recovery from Treadmill-Induced Stumbles for Individuals with Lower Limb Loss
<p>Dataset of treadmill-induced stumble recovery for three participants with lower limb loss who received a sensory neuroprosthesis that restores plantar somatosensory feedback corresponding to prosthesis foot-foor interactions. </p> <ul> <li><strong>Results.zip</strong> contains the metrics calculated for analysis of stumble recovery, which includes: trunk angular sway, peak trunk flexion angular velocity, and peak ground reaction force magntidues. </li> <li><strong>Raw.zip</strong> contains raw data collected during the experiments. <ul> <li>LLX - Data for a particular participant <ul> <li>SessionX - Data collected during a single session of the experiment, with each session being one day. <ul> <li>DFlow - Contains treadmill speed data. </li> <li>Visual3D - Contains biomechanical and force plate data. <ul> <li>StaticX - Data collected during a static trial where the participant is standing in a T-pose. This data was used to calculate body weight during each session. Data on which blocks correspond to which static trials can be found in LLX_ProcessData.m This has the same directory structure as TrialX. </li> <li>TrialX - Data collected during one block of walking with multiple perturbations. Data on which blocks had the SNP active or inactive can be found in the <code>FILE_DATA</code> variable in LLX_Analysis.m files in Code.zip. <ul> <li>Analog - Contains force plate data collected from the instrumented treadmill, which was used to calculated ground reaction force metrics. </li> <li>ForcePlate - Contains force plate data calculated from the instrumented treadmill and interpolated to the Marker data.</li> <li>LinkModel - Contains data from the biomechanical model, including trunk angle. </li> <li>Markers - Contains marker data from motion capture. </li> </ul> </li> </ul> </li> </ul> </li> </ul> </li> </ul> </li> <li><strong>Code.zip </strong>contains the code used to process the raw data in Raw.zip and extract the metrics found in Results.zip. To run this, follow the steps below.<br> <ol> <li>Copy files from Projects/TreadmillPerturbations/Run/ to directory where processed data will be stored. </li> <li>In this same folder from (1), create the following directories: <ul> <li>Processed/LL1/Session1</li> <li>Processed/LL1/Session2</li> <li>Processed/LL1/Session3</li> <li>Processed/LL1/Session4</li> <li>Processed/LL1/Session5</li> <li>Processed/LL2/Session1</li> <li>Processed/LL2/Session2</li> <li>Processed/LL2/Session3</li> <li>Processed/LL2/Session4</li> <li>Processed/LL2/Session5</li> <li>Processed/LL3/Session1</li> <li>Processed/LL3/Session2</li> <li>Processed/LL3/Session3</li> <li>Processed/LL3/Session4</li> <li>Processed/LL3/Session5</li> </ul> </li> <li>In LLX_ProcessData.m, edit <code>raw_data_all</code> variable to path where raw data is stored (where data from Raw.zip has been extracted to).</li> <li>Run LLX_ProcessData.m. Processed data will appear as .mat files in directories created in (2).</li> <li>Run LLX_Analysis.m. This will reproduce the results found in Results.zip.</li> </ol> </li> </ul>
Effect of Long Biliopancreatic Limb RYGB on Weight Loss and Comorbidities
ClinicalTrials.gov study NCT01686997. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Medico Economic Evaluation of Dermal Substitute Integra® for Coverage of Inferior Limb Traumatic Skin Loss
ClinicalTrials.gov study NCT00906672. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Using a Psychosocial Transitional Group to Improve Adaptation, Coping and Mental Health Outcomes Following Limb Loss
ClinicalTrials.gov study NCT05082870. IPD Sharing: NO. Countries: 1. Publications: 13.
Efficacy and Safety of Apixaban in Reducing Restenosis and Limb Loss in PAD Patients.
ClinicalTrials.gov study NCT04229264. IPD Sharing: NO. Countries: 1. Publications: 51.
The Effect of Implementing a Limb Loss Prevention Program on Amputation Rates
ClinicalTrials.gov study NCT03978715. IPD Sharing: NO. Countries: 1. Publications: 9.
Efficacy, Tolerability and Safety of Intramuscular Injections of PLX PAD for the Treatment of Subjects With Critical Limb Ischemia (CLI) With Minor Tissue Loss Who Are Unsuitable for Revascularization
ClinicalTrials.gov study NCT03006770. IPD Sharing: Not stated. Countries: 9. Publications: 2.
Human-Prosthetic Interaction: Brain & Technology After Lower-Limb Loss
ClinicalTrials.gov study NCT05818410. IPD Sharing: NO. Countries: 1. Publications: 21.
Data from: Cut your losses: self-amputation of injured limbs increases survival
Open the record for dataset details and reuse information.
Adding a toe joint to a prosthetic foot: walking biomechanics, metabolic rate and user preference of individuals with unilateral transtibial limb loss
<p>See ReadMe.mat</p>
Biomechanical Effects of an Articulating Prosthetic Toe Joint During Stair Navigation for Individuals with Unilateral, Below-Knee Limb Loss
<p>See ReadMe.txt (Markdown Format)</p>
Upper Limb Loss Perturbation Response
ClinicalTrials.gov study NCT04274218. IPD Sharing: NO. Countries: 1. Publications: 0.
Auto Control of Volume Management for Limb Loss
ClinicalTrials.gov study NCT03550118. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Falls in Older Persons With Limb Loss
ClinicalTrials.gov study NCT03670004. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.