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96 results for “seascape”

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dryad32/100

Data from: Should we sync? Seascape-level genetic and ecological factors determine seagrass flowering patterns

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publicAug 2016View details →
dryad32/100

Data from: Seascape continuity plays an important role in determining patterns of spatial genetic structure in a coral reef fish

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publicMay 2014View details →
dryad32/100

Data for: Chemical composition and formation of secondary marine aerosol during the Sea Spray and Particle Evolution (SeaSCAPE) Experiment

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publicJul 2023View details →
zenodo28/100

Coral community composition and carbonate production in an urbanized seascape

<p>Survey data in PRIMER format</p>

opencc-by-4.0Aug 2020View details →
dryad28/100

Do heterogeneous seascapes of carbonate conditions across biogeographic breaks influence divergent phenotypic plasticity in natural populations?

<p><b>Aim:</b> Understanding how environmental variability influences stress tolerance, local adaptation, and phenotypic variation among populations is a key challenge for evolutionary ecology and climate change biology. Coastal biogeographic breaks are natural laboratories to explore this fundamental research question due to the contrasting environmental conditions experienced by natural populations across these regions.</p> <p><b>Location:</b> In the South East Pacific (SEP) coast a major break (30º-32ºS) is characterized by extreme natural variability in seawater carbonate chemistry parameters related to temporal and spatial dynamics in upwelling events. Mollusk species that reach their range limit at this zone are exposed to naturally acidified waters that can be corrosive and impact their calcification, physiology, and fitness, making them particularly prone to the effects of ocean acidification (OA). We investigated to what extent the interplay between biogeographic breaks and local variability of seawater carbonate conditions influences the tolerances and sensitivity of populations of the limpet <i>Scurria araucana</i> to OA.</p> <p><b>Methods: </b>During two years, we conducted field surveys of limpet populations at sites across the SEP break (27ºS, 30ºS and 32ºS). We collected individuals from each population to test for geographic differences in morphometric (e.g., total buoyancy weight, shell length) and physiological (e.g., oxygen consumption rate, cardiac activity, and thermal performance curves; TPC) responses to local conditions and to simulated OA scenarios.</p> <p><b>Results:</b> Analysis of the cardiac activity indicates that limpets from the central part of the break (30ºS) exhibit higher thermal performance compared to limpets from populations at both sides of the break. Thus, heterogeneous seascape of carbonate conditions and sea surface temperature across a biogeographic break in the SEP coast influence phenotypic differences among populations of this ecosystem engineer.</p> <p><b>Main Conclusions:</b> Natural environmental variation might be the underpinning driver of the high tolerance to OA evidenced by populations of the limpet <i>Scurria araucana </i>along the SEP.</p>

opencc-zeroOct 2020View details →
dryad28/100

Data from: Isolation by resistance across a complex coral reef seascape

A detailed understanding of the genetic structure of populations and an accurate interpretation of processes driving contemporary patterns of gene flow are fundamental to successful spatial conservation management. The field of seascape genetics seeks to incorporate environmental variables and processes into analyses of population genetic data to improve our understanding of forces driving genetic divergence in the marine environment. Information about barriers to gene flow (such as ocean currents) is used to define a resistance surface to predict the spatial genetic structure of populations and explain deviations from the widely applied isolation-by-distance model. The majority of seascape approaches to date have been applied to linear coastal systems or at large spatial scales (more than 250 km), with very few applied to complex systems at regional spatial scales (less than 100 km). Here, we apply a seascape genetics approach to a peripheral population of the broadcast-spawning coral Acropora spicifera across the Houtman Abrolhos Islands, a high-latitude complex coral reef system off the central coast of Western Australia. We coupled population genetic data from a panel of microsatellite DNA markers with a biophysical dispersal model to test whether oceanographic processes could explain patterns of genetic divergence. We identified significant variation in allele frequencies over distances of less than 10 km, with significant differentiation occurring between adjacent sites but not between the most geographically distant ones. Recruitment probabilities between sites based on simulated larval dispersal were projected into a measure of resistance to connectivity that was significantly correlated with patterns of genetic divergence, demonstrating that patterns of spatial genetic structure are a function of restrictions to gene flow imposed by oceanographic currents. This study advances our understanding of the role of larval dispersal on the fine-scale genetic structure of coral populations across a complex island system and applies a methodological framework that can be tailored to suit a variety of marine organisms with a range of life-history characteristics.

opencc-zeroDec 2014View details →
dryad28/100

Data from: Self-recruitment in a Caribbean reef fish: a method for approximating dispersal kernels accounting for seascape

Characterizing patterns of larval dispersal is essential to understanding the ecological and evolutionary dynamics of marine metapopulations. Recent research has measured local dispersal within populations, but the development of marine dispersal kernels from empirical data remains a challenge. We propose a framework to move beyond point estimates of dispersal towards the approximation of a simple dispersal kernel, based on the hypothesis that the structure of the seascape is a primary predictor of realized dispersal patterns. Using the coral reef fish Elacatinus lori as a study organism, we use genetic parentage analysis to estimate self-recruitment at a small spatial scale (&lt;1 km). Next, we determine which simple kernel explains the observed self-recruitment, given the influx of larvae from reef habitat patches in the seascape at a large spatial scale (up to 35 km). Finally, we complete parentage analyses at six additional sites to test for export from the focal site and compare these observed dispersal data within the metapopulation to the predicted dispersal kernel. We find 4.6% self-recruitment (CI95%: ±3.0%) in the focal population, which is explained by the exponential kernel y = 0.915x (CI95%: y = 0.865x, y = 0.965x), given the seascape. Additional parentage analyses showed low levels of export to nearby sites, and the best-fit line through the observed dispersal proportions also revealed a declining function y = 0.77x. This study lends direct support to the hypothesis that the probability of larval dispersal declines rapidly with distance in Atlantic gobies in continuously distributed habitat, just as it does in the Indo-Pacific damselfishes in patchily distributed habitat.

opencc-zeroDec 2012View details →
dryad28/100

Relative influence of predators, competitors, and seascape heterogeneity on behaviour and abundance of coral reef mesopredators

<p>Determining influences of predation and competition on community dynamics is particularly challenging in coral reef systems where interspecific interactions between many predator and prey species play out in patchy landscapes. We used ~1000 stereo-Baited Remote Underwater Video deployments (Stereo-BRUVs) to assess the relative abundance and analysed the behaviour of two size classes of mesopredatory teleosts (lutajnids, serranids, lethrinids) in the presence and absence of larger predators (mesopredatory and apex carcharhinids). For mesopredatory teleosts, the presence of sharks did not influence the abundance, time of arrival in vicinity of the stereo-BRUVs, the probability of feeding on bait, or the delay to feeding. Instead, the number of similar-sized competitors and surrounding habitat features were the strongest drivers of these behavioural metrics. We suggest that for most fishes, the predatory threat posed by highly mobile species such as sharks is likely to be sporadic and transitory, whereas competition is ubiquitous and ever present, particularly for schooling taxa. Ultimately, it is likely that both processes interact to determine behavioural phenotypes as individuals that are inferior competitors can be displaced from safe habitats or prohibited from access to resources and will be more susceptible to predation. Future studies should consider the relative effects of both processes and the degree to which each can be shaped by habitat when investigating trophic dynamics that regulate marine communities.</p>

opencc-zeroOct 2021View details →
dryad28/100

Relative influence of predators, competitors, and seascape heterogeneity on behaviour and abundance of coral reef mesopredators

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publicOct 2021View details →
dryad28/100

Data from: Self-recruitment in a Caribbean reef fish: a method for approximating dispersal kernels accounting for seascape

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publicFeb 2013View details →
dryad28/100

Do heterogeneous seascapes of carbonate conditions across biogeographic breaks influence divergent phenotypic plasticity in natural populations?

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publicAug 2021View details →
dryad28/100

Fine-scale seascape genomics of an exploited marine species, the common cockle Cerastoderma edule, using a multi-modelling approach

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publicFeb 2020View details →
dryad28/100

Data from: Isolation by resistance across a complex coral reef seascape

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publicJun 2015View details →
dryad24/100

Data from: Gigapixel big data movies provide cost‐effective seascape scale direct measurements of open‐access coastal human use such as recreational fisheries

Collecting data on unlicensed open‐access coastal activities, such as some types of recreational fishing, has often relied on telephone interviews selected from landline directories. However, this approach is becoming obsolete due to changes in communication technology such as a switch to unlisted mobile phones. Other methods, such as boat ramp interviews, are often impractical due to high labor cost. We trialed an autonomous, ultra‐high‐resolution photosampling method as a cost effect solution for direct measurements of a recreational fishery. Our sequential photosampling was batched processed using a novel software application to produce "big data" time series movies from a spatial subset of the fishery, and we validated this with a regional bus‐route survey and interviews with participants at access points. We also compared labor costs between these two methods. Most trailer boat users were recreational fishers targeting tuna spp. Our camera system closely matched trends in temporal variation from the larger scale regional survey, but as the camera data were at much higher frequency, we could additionally describe strong, daily variability in effort. Peaks were normally associated with weekends, but consecutive weekend tuna fishing competitions led to an anomaly of high effort across the normal weekday lulls. By reducing field time and batch processing imagery, Monthly labor costs for the camera sampling were a quarter of the bus‐route survey; and individual camera samples cost 2.5% of bus route samples to obtain. Gigapixel panoramic camera observations of fishing were representative of the temporal variability of regional fishing effort and could be used to develop a cost‐efficient index. High‐frequency sampling had the added benefit of being more likely to detect abnormal patterns of use. Combinations of remote sensing and on‐site interviews may provide a solution to describing highly variable effort in recreational fisheries while also validating activity and catch.

opencc-zeroDec 2017View details →
dryad24/100

Data from: Gigapixel big data movies provide cost‐effective seascape scale direct measurements of open‐access coastal human use such as recreational fisheries

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publicAug 2018View details →
zenodo8/100

Seascape context matters more than habitat condition for fish assemblages in coastal ecosystems

<p>Data collect for the a project between University of the Sunshine Coast and Healthy Land and Water for manuscript&nbsp;<em>Seascape context matters more than habitat condition for fish assemblages in coastal ecosystems</em></p>

restrictedFeb 2022View 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

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