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6 results for “Tidal turbines”
The influence of waves on morphodynamic impacts of energy extraction at a tidal stream turbine site in the Pentland Firth: MIKE3 HD result files
<p>This dataset consists of the MIKE3 HD result files from simulations conducted for the paper 'The influence of waves on morphodynamic impacts of energy extraction at a tidal stream turbine site in the Pentland Firth' ( <a href="https://doi.org/10.1016/j.renene.2018.02.035">https://doi.org/10.1016/j.renene.2018.02.035</a> )</p> <p>Sets of 2D area result files are provided for sediment transport results (ST in file name), hydrodynamic results (HD in file name) and spectral wave results (SW in file name) in different datasets. This dataset contains HD files.</p> <p>Each file name provides details of the resuls contained: time of simulation (Jan or Jun); presence (Turb) or abscence (NoTurb) of tidal stream turbines in the simulations; and inclusion of waves in the simulations (tideAndWave or tide_only).</p> <p>Details of the methodology are given in the above paper. Please reference the paper in any use of these results.</p>
Data for: Lessons learned from the design and operation of a small-scale cross-flow tidal turbine
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Data from: Harbour seals avoid tidal turbine noise: implications for collision risk
1. Tidal stream energy converters (turbines) are currently being installed in tidally energetic coastal sites. However, there is currently a high level of uncertainty surrounding the potential environmental impacts on marine mammals. This is a key consenting risk to commercial introduction of tidal energy technology. Concerns derive primarily from the potential for injury to marine mammals through collisions with moving components of turbines. To understand the nature of this risk, information on how animals respond to tidal turbines is urgently required. 2. We measured the behaviour of harbour seals in response to acoustic playbacks of simulated tidal turbine sound within a narrow coastal channel subject to strong, tidally induced currents. This was carried out using data from animal-borne GPS tags and shore-based observations, which were analysed to quantify behavioural responses to the turbine sound. 3. Results showed that the playback state (silent control or turbine signal) was not a significant predictor of the overall number of seals sighted within the channel. 4. However, there was a localised impact of the turbine signal; tagged harbour seals exhibited significant spatial avoidance of the sound which resulted in a reduction in the usage by seals of between 11 and 41% at the playback location. The significant decline in usage extended to 500 m from the playback location at which usage decreased by between 1 and 9% during playback. 5. Synthesis and applications: This study provides important information for policy makers looking to assess the potential impacts of tidal turbines and advise on development of the tidal energy industry. Results showing that seals avoid tidal turbine sound suggest that a proportion of seals encountering tidal turbines will exhibit behavioural responses resulting in avoidance of physical injury; in practice, the empirical changes in usage can be used directly as avoidance rates when using collision risk models to predict the effects of tidal turbines on seals. There is now a clear need to measure how marine mammals behave in response to actual operating tidal turbines in the long term to learn whether marine mammals and tidal turbines can co-exist safely at the scales currently envisaged for the industry.
Data from: Harbour seals avoid tidal turbine noise: implications for collision risk
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Data from: Empirical determination of severe trauma in seals from collisions with tidal turbine blades
1. Tidal energy converters (turbines) are being developed in many countries as part of attempts to reduce reliance on hydrocarbon fuels. However, the moving blades of tidal turbines pose potential collision risks for marine animals. Accurate assessment of mortality risk as a result of collisions is essential for risk management during planning and consenting processes for marine energy developments. In the absence of information on the physical consequences of such collisions, predicting likely risks relies on theoretical collision risk models. The application of these at a population level usually assumes that all collisions result in mortality. This is unlikely and the approach therefore produces upwardly biased estimates of population consequences. 2. In this study, we estimate the pathological consequences of direct collisions with tidal turbines using seal carcasses and physical models of tidal turbine blades. We quantify severe trauma at a range of impact speeds and to different areas of seal carcasses. A dose-response model was developed with associated uncertainty to determine an impact speed threshold of severe trauma to use in future collision risk models. 3. Results showed that severe trauma was: a. restricted to the thoracic region, with no evidence of injury to the lumbar or cervical spine. b. only observed in collision speeds in excess of 5.6 m.s-1 (95% c.i. 4.4 to 6.6). c. affected by body condition; increasing blubber depth reduced the likelihood of severe trauma 4. Synthesis and applications: This study provides important information for policy makers and regulators looking to predict the potential impacts of tidal turbines on marine mammals. We demonstrate that the probability of severe trauma in seals due to collisions with turbine blades is highly dependent upon collision speed, and that the majority of predicted collisions are unlikely to cause fatal skeletal trauma. We recommend that collision risk models incorporate appropriate mortality assumptions to ensure accurate estimates of the population consequences are produced in risk assessments for tidal turbine deployments.
Data from: Empirical determination of severe trauma in seals from collisions with tidal turbine blades
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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.
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.