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187 results for “TIDE”
Table 3 in Acoustic monitoring reveals the times and tides of harbor porpoise (Phocoena phocoena) distribution off central Oregon, U. S. A.
<p><i>Table 3.</i> Simultaneous DMON site deployment data: For the periods when recording devices were present at both the reef and offshore sites and simultaneously recording, the number and percent of porpoise positive minutes (PPMs), and buzz positive minutes (BPMs) detected at each site are given, as well as the number and percent (displayed in bold) that were detected at both sites simultaneously during the same 10 min time period.</p><table><tbody><tr><th>Detection type</th><th>Location</th><th>Number of detections</th><th>Percent of total detection type</th></tr></tbody><tbody><tr><th>PPMs</th><td>Reef Offshore Present at both</td><td>1,297 514 521</td><td>55.6% 22.0% <b>22.3%</b></td></tr><tr><th>BPMs</th><td>Reef Offshore Present at both</td><td>546 207 43</td><td>68.6% 26.0% 5.4%</td></tr></tbody></table>
Table 2 in Acoustic monitoring reveals the times and tides of harbor porpoise (Phocoena phocoena) distribution off central Oregon, U. S. A.
<p><i>Table 2.</i> Recorded data set for the entire time of investigation, separated for each station by diel phase and their totals. PPM: porpoise positive minute; BPM: buzz-positive minute.</p><table><tbody><tr><th></th><th>Diel</th><th>Recorded</th><th>Porpoise positive</th><th>PPM (% per complete</th><th>Click only</th><th>Buzz positive</th><th>BPM (%</th></tr></tbody><tbody><tr><th>Site</th><td>phase</td><td>minutes</td><td>minutes (PPM)</td><td>observation period)</td><td>minutes</td><td>minutes (BPM)</td><td>per PPM)</td></tr><tr><th>Reef</th><td>Morning</td><td>278</td><td>92</td><td>33.1</td><td>66</td><td>26</td><td>28.3</td></tr><tr><th></th><td>Day</td><td>3,163</td><td>1,239</td><td>39.2</td><td>876</td><td>363</td><td>29.3</td></tr><tr><th></th><td>Evening</td><td>286</td><td>104</td><td>36.4</td><td>68</td><td>36</td><td>34.6</td></tr><tr><th></th><td>Night</td><td>1,793</td><td>622</td><td>34.7</td><td>436</td><td>186</td><td>29.9</td></tr><tr><th>Offshore</th><td>Morning</td><td>353</td><td>62</td><td>17.6</td><td>40</td><td>22</td><td>35.5</td></tr><tr><th></th><td>Day</td><td>4,075</td><td>730</td><td>17.9</td><td>593</td><td>137</td><td>18.8</td></tr><tr><th></th><td>Evening</td><td>351</td><td>78</td><td>22.2</td><td>64</td><td>14</td><td>17.9</td></tr><tr><th></th><td>Night</td><td>3,019</td><td>550</td><td>18.2</td><td>370</td><td>180</td><td>32.7</td></tr></tbody></table>
ASM-SS: The First Quasi-Global High Spatial Resolution Coastal Storm Surge Dataset Reconstructed from Tide Gauge Records
<p>The ASM-SS dataset is a high spatial resolution (every 10 km per node along the coastline), long-term (over 80 years from 1940 to 2020), quasi-global (within 45°S-45°N), hourly data-driven storm surge dataset. Each NetCDF file includes five parameters: longitude, latitude, nodes, time, and surge level. Longitude and latitude are the location information of nodes in degree; the unit of time is accumulated hours since 1900-01-01 00:00:00; surge levels are given in meters. Users can use longitude, latitude, and time as keywords to select surge levels at nodes of interest within a target period. </p>
Data from: Process-based modelling of nonharmonic internal tides using adjoint, statistical, and stochastic approaches. Part II: adjoint frequency response analysis, stochastic models, and synthesis
<p>Meta data updated after publication.</p> <p> </p>
Data from: Process-based modelling of nonharmonic internal tides using adjoint, statistical, and stochastic approaches. Part I: statistical model and analysis of observational data
<p>Meta data updated after publication.</p> <p> </p>
Supporting data for: Coastal wetland adaptability to sea level rise: the neglected role of semi-diurnal versus diurnal tides
<p>Dataset necessary to reproduce the analyses and results presented in the paper.</p> <p>Belliard, J.-P., Gourgue, O., Govers, G., Kirwan, M.L., & Temmerman, S. (2022) Coastal wetland adaptability to sea level rise: the neglected role of semi-diurnal versus diurnal tides, submitted to Limnology & Oceanography Letters.</p> <p>The dataset contains:<br> • The source codes of the zero-dimensional numerical model, parametrized for the two model experiments, and the Matlab scripts to generate model input data (pre-processing).<br> • The scripts to perform geospatial analysis in order to select data from the various compiled and acquired (meta-)datasets and the scripts to perform subsequent multi-variate analyses applied to these selected data.<br> • The processed data that are reported and represented in figures in the associated manuscript.<br> • The Matlab scripts to generate the figures of the manuscript based on these processed data</p> <p>• The readme file detailing the contents of every data file, model subroutine and processing script. <br> • The metadata document<br> • The excel file "SET_dataset.xlsx" which contains all compiled SET records used in this study (see manuscript)<br> • The original reference (published sources) "SET_dataset_original_references.docx" associated with each SET record compiled.</p> <p> </p> <p> </p>
Empirical Models of TEC and Tide-like Signatures In the Ionosphere
<p>This empirical model is developed from the global ionospheric maps (GIMs) from the Center for Orbit Determination of Europe (CODE) covering 2000-2021. With the tidal signatures parameterized, the climatic behaviors in the ionosphere could be consequently modeled. This dataset contains the model codes of the tidal signatures and TEC. </p>
Data repository supporting the JGR article: A case study of the solar and lunar semidiurnal tide response to the 2013 sudden stratospheric warming
<p>This dataset contains the meteor radar wind measurements and the background atmospheric data fields used to produce the results in the Journal of Geophysical Research - Space Physics article titled: A case study of the solar and lunar semidiurnal tide response to the 2013 sudden stratospheric warming.</p> <p>The nav_2013_ERAn_1dm_grid.dat file contains gridded latitude-longitude-altitude daily mean winds and temperatures for the composite atmosphere described in the article. The full range of dates span from the 1st of December 2012 to the 1st of April 2023. The composite atmosphere is constructed using ERA5 winds and temperatures below 85 hPa, NAVGEM-HA winds and temperatures between 85-0.001 hPa, and HWM14 + MSISE00 winds and temperatures above 0.001 hPa.</p> <p>The meteor_radars.zip file contains a folder containing the hourly meteor radar wind measurements for the Collm (Col), CMOR (CMO), and Kiruna (Kir) radars, as described in the supporting paper. The .hdf5 files contain both the horizontal and meridional wind measurements for December, January, February, and March (winter of 2012/2013).</p>
Data repository in support of the article: A case study of the solar and lunar semidiurnal tide response to the 2013 sudden stratospheric warming
<p>This dataset contains the meteor radar wind measurements and the background atmospheric data fields used to produce the results in the Journal of Geophysical Research - Space Physics article titled: A case study of the solar and lunar semidiurnal tide response to the 2013 sudden stratospheric warming.</p> <p>The nav_2013_ERAn_1dm_grid.dat file contains gridded latitude-longitude-altitude daily mean winds and temperatures for the composite atmosphere described in the article. The full range of dates span from the 1st of December 2012 to the 1st of April 2023. The composite atmosphere is constructed using ERA5 winds and temperatures below 85 hPa, NAVGEM-HA winds and temperatures between 85-0.001 hPa, and HWM14 + MSISE00 winds and temperatures above 0.001 hPa.</p> <p>The meteor_radars.zip file contains a folder containing the hourly meteor radar wind measurements for the Collm (Col), CMOR (CMO), and Kiruna (Kir) radars, as described in the supporting paper. The .hdf5 files contain both the horizontal and meridional wind measurements for December, January, February, and March (winter of 2012/2013).</p> <p> </p> <p> </p> <p> </p>
Data from: Wind and rain compound with tides to cause frequent and unexpected coastal floods
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Swim with the tide: tactics to maximise prey detection by a specialist predator, the greater sea snake (Hydrophis major)
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Data from: Turning the tide: A 2°C increase in heat tolerance can halve climate change induced losses in four cold-adapted kelp species
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Wirewalker data collected during the 2020 Southern California red tide
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FIGURE 2. A–F. Trindade Island. A. Rocky beach and tide pool. B–F in Asteroidea (Echinodermata) from shallow-waters of the remote oceanic archipelago Trindade and Martin Vaz, southeastern Atlantic, with taxonomic and zoogeographical notes
FIGURE 2. A–F. Trindade Island. A. Rocky beach and tide pool. B–F. Sublittoral habitats at water depths of less than 30 m: B. Calcareous reefs and rhodolith beds. C. Rocky and calcareous boulders of various sizes. D. Sand bottom with patches of calcareous reefs. E. Mixed sand, gravel, rocky bottoms with patches of sponges and macro algae. F. Calcareous reefs with algal mats.
CoDEC Dataset - Data underlying the paper "A high-resolution global dataset of extreme sea levels, tides and storm surges including future projections "
<p>The world’s coastal areas are increasingly at risk of coastal flooding due to sea-level rise (SLR). We present a novel global dataset of extreme sea levels, the Coastal Dataset for the Evaluation of Climate Impact (CoDEC), which can be used to accurately map the impact of climate change on coastal regions around the world. The third generation Global Tide and Surge Model (GTSM), with a coastal resolution of 2.5 km (1.25 km in Europe), was used to simulate extreme sea levels for the ERA5 climate reanalysis from 1979 to 2017, as well as for future climate scenarios from 2040 to 2100. The validation against observed sea levels demonstrated a good performance, and the annual maxima had a mean bias (MB) of -0.04 m, which is 50% lower than the MB of the previous GTSR dataset. The CoDEC-ERA5 dataset is the successor of GTSR <a href="https://www.nature.com/articles/ncomms11969">(Muis et al., 2016)</a> and is based on the next generation climate and hydrodynamic models. The main improvements are summarized in Table 2 of the accompanying paper <a href="https://www.frontiersin.org/articles/10.3389/fmars.2020.00263/abstract">(Muis et al., 2020)</a>.</p> <p><br> </p>
Data from: Riding the crimson tide: mobile terrestrial consumers track phenological variation in spawning of an anadromous fish
When resources are spatially and temporally variable, consumers can increase their foraging success by moving to track ephemeral feeding opportunities as these shift across the landscape; the best examples derive from herbivore-plant systems where grazers migrate to capitalize on the seasonal waves of vegetation growth. We evaluated whether analogous processes occur in watersheds supporting spawning Pacific salmon, asking whether seasonal activity of predators and scavengers shift spatial distributions to capitalize on asynchronous spawning among populations of salmon. Both glaucous-winged gulls and coastal brown bears showed distinct shifts in their spatial distributions over the course of the summer, reflecting the shifting distribution of spawning sockeye salmon, which was associated with variation in water temperature among spawning sites. By tracking the spatial and temporal variation in the phenology of their principal prey, consumers substantially extended their foraging opportunity on a superabundant, yet locally ephemeral, resource. Ecosystem based fishery management efforts that seek to balance trade-offs between fisheries and ecosystem processes supported by salmon should therefore assess the importance of life-history variation, particularly in phenological traits, for maintaining important ecosystem functions such as providing marine-derived resources for terrestrial predators and scavengers.
Specular Meteor Radar Observations of the Semidiurnal Tide in Northern Scandinavia and Northern Germany
<p>The dataset contains specular meteor radar observations of the atmospheric semidiurnal tide in the mesosphere and lower thermosphere. The observations are from specular meteor radars located in Northern Scandinavia (Andenes, Kiruna, and Tromso) and Northern Germany (Collm and Juliusruh). The radar observations in Northern Scandinavia cover the years 1999, 2000, 2001, 2002, 2010, 2012, 2013, 2015, and 2019. Observations in Northern Germany cover the years 2010, 2012, 2013, 2015, and 2019. These data are in support of the publication "Migrating Semidiurnal Tide during the September Equinox Transition in the Northern Hemisphere."</p>
Determination of borehole tiltmeter orientation using earth tides
<p>These data are used in the article Determination of borehole tiltmeter orientation using earth tides. LSBB 2012, LSBB 2021 and ETNA 2022 datasets are measured by optical borehole tiltmeters with a sampling frequency of 1 Hz. They contain four columns: number, channel d1, channel d2, and channel d3. ETNA 2023 dataset is measured by LILY tiltmeter, comprising three columns: time, ux, and uy.</p>
Internal tides vertical structure and steric sea surface height signature south of New Caledonia revealed by glider observations
<p>Data to reproduce the figures of the preprint <em>Internal tides vertical structure and steric sea surface height signature south of New Caledonia revealed by glider observations</em>, submitted to <em>Ocean Science</em></p>
Importance of ice elasticity in simulating tide-induced grounding line variations along prograde bed slopes
<p>Maslennikova_data.zip contains the Differential Interferometric Synthetic Aperture Radar (DInSAR) interferograms and the manually mapped grounding lines utilized for short-term tide-induced grounding line migrations analysis.</p>
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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)
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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.