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612 results for “beach”
SBC LTER: Beach: Data to support "Contribution of macroalgal wrack consumers to dissolved inorganic nitrogen concentrations in intertidal pore waters of sandy beaches"
These data describe measures of excretion from talitrid amphipods (Megalorchestia corniculata) fed giant kelp (Macrocystis pyrifera) blades and incubated in a series of mesocosms during May 2018. Data are contained in one table: time series of mesocosm porewater nutrient concentrations measured twice daily for approximately one week (two full trials included in this dataset). This dataset is to support the article: Lowman, H. E., Emery, K. A., Kubler-Dudgeon, L., Dugan, J. E., & Melack, J. M. (2019). Contribution of macroalgal wrack consumers to dissolved inorganic nitrogen concentrations in intertidal pore waters of sandy beaches. Estuarine, Coastal and Shelf Science. https://doi.org/10.1016/j.ecss.2019.02.004
SBC LTER: Beach: Biodiversity and ecosystem functioning - sandy beach detritivore kelp consumption rates
These data describe the consumption rates of giant kelp (Macrocystis pyrifera) wrack by sandy beach detritivore species common to beaches in the Santa Barbara Channel during a laboratory experiment in August 2016. Species included Megalorchestia minor, Megalorchestia benedicti, Megalorchestia corniculata, Megalorchestia californiana, Phaleria rotundata, and Alloniscus perconvexus. The data file includes the mass of dry kelp consumed per day per individual, the mass of dry kelp consumed per day, and the total mass of dry kelp consumed over the 3-day experiment. There were 12 individuals per treatment and the kelp tissue was measured at the beginning and the end of the 3-night experiment. Consumption rates given here have been corrected for non-consumptive mass loss determined by control treatments with no consumers (4.0 ± 1.5% dry mass or 6.0 ± 2.5 mg).
Hog and Metompkin Island Beach Characteristics of the Virginia Coast Reserve 2010
For complete information regarding sampling and analytical methods, and for contextualization of the data and variables, please see C. Wolner's 2011 thesis, available on the VCR LTER website.
Beach Morphology of the Virginia Barrier Islands 1998, 2005 and 2009
Beach features (dune crest, dune toe and shoreline) extracted from LiDAR datasets and used in Dana Oster's 2012 M.S. Thesis at the University of Virginia. Also included are overwash probablities associated with a hypothetical storm similar to Hurricane Bonnie.ÂÂ
Subaerial beach topography at NASA-Kennedy Space Center, Florida, U.S.A between 2009 and 2014
<p>This dataset provides approximately monthly observations of beach topography for nearly five-years along the subaerial beach fronting NASA-Kennedy Space Center, Florida. Full details of data collection and processing can be found in the PhD dissertation of the lead author (<a href="https://search.proquest.com/docview/1508271661/abstract/70EE269DD557426CPQ/1">https://search.proquest.com/docview/1508271661/abstract/70EE269DD557426CPQ/1</a>). Two reports discussing these data are also provided in pdf format. The dataset includes data collected via ATV-mounted real time kinematic (RTK) GPS (all files beginning with "DEM_'") as well as data collected via backpack-mounted RTK GPS (all files beginning with "CpCnv_") concurrently with some ATV surveys. Data from each ATV survey is provided as a Matlab .mat file and include pre-processed X, Y, and Z location/elevation data referenced to UTM Zone 17 and NAVD88 vertical datum. Each file also includes gridded point coordinates at 1m x 1m resolution for northern (g_n) and southern (g_s) sections of the site and cross-shore transects created from these (T). Data from each backpack survey are also provided as Matlab .mat files, and contain cross-shore transects (T) referenced to UTM Zone 17 and NAVD88 vertical datum.</p>
Waikawa Beach - 07 Oct 2019
Waikawa Beach, Horowhenua District. Ongoing study recording of changes at the Stream mouth. Observing river pattern and sand accumulations on the landward side. Source: Objaverse 1.0 / Sketchfab
Bunker IJmuiden Beach Pictures taken with Drone
Bunker IJmuiden Beach Pictures taken with Drone DJI Phantom 2 met Gopro 3+ Update: enhanced the inside. Source: Objaverse 1.0 / Sketchfab
German WWII Bunker Ijmuiden Beach
Built this one after a 3d scan model somebody else uploaded to Sketchfab. I replaced the bunker itself with some new geometry so now it looks like the bunker is brand new without any grafitti and whatsnot. Bunkers like these are part of the Atlantic Wall. This specific model is still standing today in a place called Ijmuiden in the Netherlands. Source: Objaverse 1.0 / Sketchfab
Graffiti on Cement Barrier, Venice Beach, CA
Taken while up in Venice Beach. There's a bunch of these cement barriers with graffiti on them. I used the LiDar mode in Trnio Plus. Source: Objaverse 1.0 / Sketchfab
Figure 9. - Type locality of Palaemonyuna sp. n. Lago Tupé beach, lower Rio Negro tributary, Manaus, Amazonas, Brazil (003°02'42"S, 060°15'10"W).
Figure 9. - Type locality of Palaemonyuna sp. n. Lago Tupé beach, lower Rio Negro tributary, Manaus, Amazonas, Brazil (003°02'42"S, 060°15'10"W).
Data underlying the publication: "CAR36, a regional high-resolution ocean forecasting system for improving drift and beaching of Sargassum in the Caribbean Archipelago."
<p><strong>CAR36 dataset</strong></p><p>These data correspond to the <strong>1-year (2019)</strong> simulation from the regional ocean system CAR36. These <strong>daily hindcasts</strong> have been used in the study presented in the paper submitted in GMD editor and entitled: "CAR36, a regional high-resolution ocean forecasting system for improving drift and beaching of Sargassum in the Caribbean Archipelago", where the CAR36 system is fully described.</p><p><br>The uploaded files are in <strong>netcdf</strong> format:</p><ul><li><i>CAR36_daily_SSH_20190102-20191224.nc</i> = 1-year daily hindcasts of <strong>Sea Surface Height </strong></li><li><i>CAR36_daily_SST_20190102-20191224.nc </i>= 1-year daily hindcasts of <strong>Sea Surface Temperature</strong></li><li><i>CAR36_daily_SSU_20190102-20191224.nc</i> = 1-year daily hindcasts of <strong>Sea Surface Current Speed (zonal component)</strong></li><li><i>CAR36_daily_SSV_20190102-20191224.nc</i> = 1-year daily hindcasts of <strong>Sea Surface Current Speed (meridian component)</strong></li></ul><p>All data are projected on the native model tripolar<strong> ORCA grid</strong> <strong>in 1/36° </strong>horizontal resolution.</p><p>NB: In order to filter (in a 1st order) the semi-diurnal tidal signal (with a period of 12h30), the daily mean corresponds to a 25h-average. </p><p><strong>CAR36 software</strong></p><p>The NEMO_CAR36.tar file gathers the <strong>NEMO code configuration</strong> of the CAR36 model. This code follows the same license than NEMO one : <strong>CeCILL</strong>. A file named "License_CeCILL.txt" reminds the details of this license in the NEMO_CAR36.tar file.<br><br>NB.: This model have been renamed CAR36 (English acronym) for the paper instead of ARCAN36 (French initial acronym). In the provided NEMO code, the name ARCAN36 is still used. </p>
Data related to "Free infragravity waves on the inner shelf: Observations and Parameterizations at two Southern California beaches"
<p><strong>Abstract: </strong></p> <p>Co-located pressure and velocity observations in 10-15m depth are used to estimate the relative contribution of bound and free infragravity (IG) wave energy to the IG wave field. Shoreward and seaward going IG waves are analyzed separately. At the Southern California sites, shoreward propagating IG waves are dominated by free waves, with the bound wave energy fraction <30% for moderate energy incident sea-swell and <10% for low energy incident sea-swell. Only the 5% of records with energetic long swell show primarily bound waves. Consistent with bound IG wave theory, the energy scales as the square (frequency integrated) sea-swell energy, with a higher correlation with swell than sea energy. Seaward and shoreward free IG energy is strongly tidally modulated. The ratio of free seaward to shoreward propagating IG energy suggests between 50-100% of the energy radiated offshore is trapped on the shelf seaward of 10-15m and redirected shoreward. Remote sources of IG energy are small.<br><br>The observed linear dependency of free seaward and shoreward IG energy on local sea-swell wave energy and tide are parameterized with good skill (R2 ~ 0.90). Free (random phase) and bound (phase-coupled) IG waves are included in numerically simulated timeseries for shoreward IG waves that are used to initialize (~ 10m depth) the numerical nonlinear wave transformation SWASH. On the low slope study beach, wave runup is only weakly influenced by free shoreward propagating waves observed at the offshore boundary (foreshore slope = 0.02). <br> </p> <p><strong>Plain Language Summary:</strong></p> <p>Infragravity (IG) waves are long-period (every 25 sec to 2.5 min) waves that contribute to coastal flooding and beach erosion. IG waves, generated near the shoreline by short-period sea-swell (SS) wave groups (known by surfers as "sets"), have long wavelengths (100s of m) and do not curl and break like ordinary sea and swell waves. Instead, they can bounce off the beach face and propagate seaward. Our study concerns IG waves on the inner shelf (10-15m depth, ~ 500-700m offshore), seaward of the region of IG generation. Similar to previous observations in Hawai'i and North Carolina, we find most of the bounced, seaward going IG energy cannot reach deep water and is trapped on the continental shelf. We develop an observation-based estimate IG wave energy on the inner shelf as a function of SS wave energy and tide level. Finally. we show with a numerical model that IG wave runup at the shoreline is influenced only weakly by IG waves on the inner shelf.<br> </p> <p><strong>About the data: </strong></p> <p>The PUV MATLAB data structure is saved in the .mat file provided. Data is aggregated from numerous deployments of Nortek Vectors (PUV) in San Diego County between 2019 and 2022, at Torrey Pines State Beach and Cardiff State Beach. This data was collected by the <a href="https://siocpg.ucsd.edu/">Coastal Processes Group</a> at the Scripps Institution of Oceanography. </p> <p>2488 3 hour at 2Hz timeseries of pressure, cross-shore and alongshore velocity are provided. </p> <ul> <li><em>time</em> is given in UTC time as a MATLAB datetime.</li> <li><em>MOP</em> is the location of the instrument for a specific timeseries given as a MOP number (corresponding to the MOP lines given in O'Reilly et al. (2016) and used by the Coastal Data Information Program (CDIP). The MOP number can be used to obtain shorenormal angle and location of the sensor from <a href="https://cdip.ucsd.edu/mops/">https://cdip.ucsd.edu/mops/</a>.</li> <li><em>depth</em> is given as the mean depth over the 3h pressure records in meters and includes the mean tidal elevation.</li> <li><em>P</em> is the detrended pressure data in meters, detided and the mean depth removed.</li> <li><em>U</em> is the detrended cross-shore velocity data in meters/second, with the main tidal constituents M2, S2 and K1 and the mean depth removed, and rotated to be shorenormal according the the MOP angle (+x is onshore).</li> <li><em>V </em>is the detrended alongshore velocity data in meters/second, with the main tidal constituents M2, S2 and K1 and the mean depth removed, and rotated to be shorenormal according the the MOP angle (+y is north).</li> <li><em>sensor_offsets</em> includes both the sensor offset from the sea floor in meters of the pressure sensor and the current meter. These can be used to surface correct the timeseries.</li> </ul> <p>The timeseries are grouped by instrument.</p>
Suplementary Material for Direct hydrodynamic measurements at the upper shoreface of a sandy beach in Paraná - Brazil
<p>ADCP data accompanying the manuscript entitled "Direct hydrodynamic measurements at the upper shoreface of a sandy beach in Paraná - Brazil" to be published in Ocean and Coastal Research<strong> (</strong>ISSN (<em>online</em>): 2675-2824)</p>
Figure 14 in The Beach-hopper Genus Platorchestia (Crustacea: Amphipoda: Talitridae) on Atlantic Ocean Coasts and on those of Associated Seas
Figure 14. Distribution of Platorchestia in the Atlantic Ocean and associated seas.
Figure 8 in The Beach-hopper Genus Platorchestia (Crustacea: Amphipoda: Talitridae) on Atlantic Ocean Coasts and on those of Associated Seas
Figure 8. Platorchestia exter sp. nov., male holotype (11 mm), Newfoundland.
Figure 1 in The Beach-hopper Genus Platorchestia (Crustacea: Amphipoda: Talitridae) on Atlantic Ocean Coasts and on those of Associated Seas
Figure 1. Platorchestia platensis (Krøyer, 1845), male (14 mm), Bornova, Turkey.
Figure 6 in The Beach-hopper Genus Platorchestia (Crustacea: Amphipoda: Talitridae) on Atlantic Ocean Coasts and on those of Associated Seas
Figure 6. Platorchestia oliveirae sp. nov., male holotype (9 mm), Parana State, Brazil.
Figure 3 in The Beach-hopper Genus Platorchestia (Crustacea: Amphipoda: Talitridae) on Atlantic Ocean Coasts and on those of Associated Seas
Figure 3. Platorchestia platensis (Krøyer, 1845), male (14 mm), Bornova, Turkey.
Figure 12 in The Beach-hopper Genus Platorchestia (Crustacea: Amphipoda: Talitridae) on Atlantic Ocean Coasts and on those of Associated Seas
Figure 12. Platorchestia griffithsi sp. nov., male holotype (9 mm), Knysna lagoon, South Africa.
Old Salton Sea Boat at Bombay Beach
I produced this photogrammetry reconstruction using images captured by a Lumix G6 and DJI Mavic Pro drone. The images were processed with Autodesk ReMake. Source: Objaverse 1.0 / Sketchfab
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.