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250 results for “hurricanes”
Data supplementing article "Dramatic estuarine response to a hurricane with extreme precipitation: Hurricane Harvey in Galveston Bay"
<p>This is data set used to plotting the figure that describes the relationship between surface landward current at buoy station g06010 and section-averaged landward current at the entrance of Galveston Bay. </p> <p> </p>
Data supplementing article "Dramatic hydrodynamic and sedimentary responses in Galveston Bay and adjacent inner shelf to Hurricane Harvey"
<p>This is data set used to plotting the figure that describes the relationship between surface landward current at buoy station g06010 and section-averaged landward current at the entrance of Galveston Bay. </p> <p> </p>
Data from: Performance of social network sensors during Hurricane Sandy
Information flow during catastrophic events is a critical aspect of disaster management. Modern communication platforms, in particular online social networks, provide an opportunity to study such flow and derive early-warning sensors, thus improving emergency preparedness and response. Performance of the social networks sensor method, based on topological and behavioral properties derived from the "friendship paradox", is studied here for over 50 million Twitter messages posted before, during, and after Hurricane Sandy. We find that differences in users' network centrality effectively translate into moderate awareness advantage (up to 26 hours); and that geo-location of users within or outside of the hurricane-affected area plays a significant role in determining the scale of such an advantage. Emotional response appears to be universal regardless of the position in the network topology, and displays characteristic, easily detectable patterns, opening a possibility to implement a simple "sentiment sensing" technique that can detect and locate disasters.
Data of Hurricane Laura simulations - for submission to GMD
<p>Data of Hurricane Laura simulations given by <a href="https://www.gfdl.noaa.gov/shield/">SHiELD</a> with a regional and a global-nest configuration. Both configurations can be found at doi.org/10.5281/zenodo.5090124. Simulations were conducted to demonstrate the flexibility of <a href="https://www.gfdl.noaa.gov/shield/">SHiELD</a>.</p>
Compound coastal, fluvial, and pluvial flooding during historical hurricane events in the Sabine-Neches Estuary, Texas
<p>This dataset contains boundary forcing (offshore water level and river discharge), topobathy, and Manning's n roughness data used to simulate compound flooding due to historical hurricanes (Harvey, Ike, and Rita) in the Sabine-Neches Estuary in Texas. It also includes water level outputs used for the analysis presented in the manuscript entitled: <em>Compound coastal, fluvial, and pluvial flooding during historical hurricane events in the Sabine-Neches Estuary, Texas </em>(<a href="https://doi.org/10.1029/2022WR033144">https://doi.org/10.1029/2022WR033144</a>).</p>
Blowing in the wind: Experimental assessment of clinging performance and behavior in Anolis lizards during hurricane-force winds
<p>1. Extreme weather events, such as hurricanes, can be ecologically devastating and cause widespread mortality. Recent studies in <em>Anolis</em> lizards report hurricane-induced phenotypic shifts and selection favoring morphological variation related to clinging performance. Although it is difficult to observe organismal responses during extreme events in nature, we can experimentally simulate the high-speed winds associated with hurricanes to evaluate the putative mechanism underlying observed patterns of natural selection.</p> <p>2. In this study, we used two laboratory experiments to better understand the clinging performance and behavior of <em>Anolis</em> lizards when experiencing hurricane-force winds. We assessed the physical ability of lizards when using the combined function of their claws, limbs, toepads, and other traits to resist forces pulling them off a perch. We also evaluated the combination of this physical clinging ability of lizards and their behavioral responses to avoid being blown off a perch during high winds. We assessed behavior that could decrease exposure of lizards to wind and increase their clinging ability.</p> <p>3. Clinging force measurements revealed variation in performance among species and substrates not reflected in clinging times for lizards experiencing hurricane-force winds, revealing the importance of behavior when experiencing high winds. The most arboreal species (<em>A</em>. <em>carolinensis</em>) had substantially longer clinging times on rough substrates compared to the other species, presumably due to its larger toepads for increased clinging as well as its shorter limbs that reduced drag.</p> <p>4. Under high-speed winds, lizards commonly shifted to the more protected leeward side of dowels, especially on broad and rough substrates, presumably to reduce exposure. This reveals how behavior can mediate factors influencing clinging ability during hurricanes and, in conjunction with ecologically relevant variation in morphology and substrate properties, contribute to clinging performance.</p> <p>5. Our experiments reveal that behavior strongly influences clinging performance during high winds beyond that predicted by physical traits alone. Thus, microhabitat selection of perches and the position of a lizard on its perch during a hurricane will likely have important consequences for clinging performance. This may alter how selection acts on morphological traits and influence the susceptibility of different species to these extreme weather events.</p>
Changes in forest biodiversity metrics associated with Hurricane Katrina
<p class="MsoNormal">Recurrent tropical cyclones frequently influence warm temperate forests in many coastal regions. If resistance to high winds (cyclone survival) and resilience in altered environments (post-cyclone recruitment) vary with cyclone intensity, then differences in composition, arboreal structure and dynamics of forests should occur in these forests. We hypothesized that major tropical cyclones should produce large, stratum-dependent effects that result in large environmental changes. We anticipate direct regeneration, with post-cyclone forests resembling pre-cyclone forests in composition, but potentially shifting to long-transient alternate states that do not readily or necessarily return to pre-cyclone states. Using a long-term, plot-based study, we explored direct effects of major Hurricane Katrina (sustained winds >50m/sec), as well as initial post-hurricane changes in overstory and understory trees in oak-dominated bottomland and cypress/tupelo-dominated swamp forests within the Mississippi River delta. Hurricane Katrina caused high overall mortality (14% - swamp forest, 25% - bottomland forest), but mortality was concentrated in overstory strata (22% in swamp forests and 70% in bottomland forests). Almost all overstory oaks were killed, while most overstory cypress and tupelo were damaged, but survived and were reduced to understory status. In both forests, many trees of less abundant overstory species (red maples, sweetgum, elms, ash) survived and constitute a slowly reforming overstory via resprouting of survivors and recruitment of understory trees. Thus, forest overstories appear likely to change in dominant species. Understory trees in both forests had high survival and responded post-cyclone. Nonetheless, one usurper species, dwarf palmetto, with high resistance and high resilience, now forms a dense arboreal layer in the understory stratum, dominating an alternate state with different overstory and closed understory capable of suppressing recruitment and establishment of overstory and understory species. Resistance and resilience of overstory and understory tree species that vary with cyclone intensity might result in prolonged alternate states in cyclone-frequented forests.</p>
Hurricanes enhance coral connectivity but also superspread coral diseases: Connectivity matrices
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Changes in forest biodiversity metrics associated with Hurricane Katrina
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Data from: Impact of a hurricane on the herpetofaunal assemblages of a successional chronosequence in a tropical dry forest
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Data from: Performance of social network sensors during Hurricane Sandy
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Data from: The impact of hurricanes Irma and Maria on the forest ecosystems of Saba and St. Eustatius, northern Caribbean
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Data from: Hurricane-mediated defoliation of kelp beds and pulsed delivery of kelp detritus to offshore sedimentary habitats
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Demographic analysis for article Hurricane-induced demographic changes in a nonhuman primate population
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Data from: Framework for quantifying population responses to disturbance reveals that coastal birds are highly resilient to hurricanes
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Spatially Quantifying Forest Damage from a Category 5 Hurricane
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Avian Response to Hurricane Maria in Coffee Plantations
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Blowing in the wind: Experimental assessment of clinging performance and behavior in Anolis lizards during hurricane-force winds
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Deer movement and resource selection during Hurricane Irma: implications for extreme climatic events and wildlife
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No evidence of predicted phenotypic changes after hurricane disturbance in a shade-specialist Caribbean anole
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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.