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51 results for “ROV”
ROV cm-scale seafloor surveys at 1840 m depth in Monterey Canyon
<p>This dataset contains 5-cm lateral resolution multibeam sonar bathymetry and 1-cm lateral resolution lidar bathymetry from ~1840 m water depth in Monterey Canyon, offshore Moss Landing, California. The data were acquired by a remotely operated vehicle (ROV) aboard the R/V Western Flyer operated by the Monterey Bay Aquarium Research Institute (MBARI). The multibeam sonar and lidar data were collected using a Reson SeaBat 7125 400-kHz multibeam sonar and a 3D at Depth SL1 subsea lidar, respectively.</p> <p>These surveys were all conducted between November 2015 and March 2017 as one component of the Coordinated Canyon Experiment (CCE) led by MBARI geologist Charlie Paull, in collaboration with researchers from the United States Geological Survey, the Ocean University of China, the National Oceanography Centre in Southampton, England, and the University of Hull, England.</p> <p>For a detailed description of the methodology used to collect, process, and grid these data, please refer to the associated journal article: <em><strong><This info will be updated once the paper is published></strong></em></p> <p>The primary results from the CCE were described in:</p> <p>Paull, C.K., Talling, P.J., Maier, K.L., Parsons, D., Xu, J., Caress, D.W., Gwiazda, R., Lundsten, E.M., Anderson, K., Barry, J.P., Chaffey, M., O'Reilly, T., Rosenberger, K.J., Gales, J.A., Kieft, B., McGann, M., Simmons, S.M., McCann, M., Sumner, E.J., Clare, M.A., Cartigny, J., (2018). Powerful turbidity currents driven by dense basal layers. Nature Communications, 9: 1-9. <a href="https://doi.org/10.1038/s41467-018-06254-6">https://doi.org/10.1038/s41467-018-06254-6</a></p> <p>A general description of the CCE can be found in an article from the 2017 MBARI annual report: <a href="https://annualreport.mbari.org/2017/story/coordinated-canyon-experiment">https://annualreport.mbari.org/2017/story/coordinated-canyon-experiment</a></p> <p><br> This dataset contains the following gridded bathymetry data in both GeoTIFF and ESRI ASCII grid format (.asc) in WG84 Geographic (EPSG: 4326):<br> <br> 5-cm lateral resolution multibeam sonar bathymetry grids:</p> <ol> <li>CCE_LASS_5cm_multibeam_MontereyCanyon_November2015 <ul> <li>Multibeam bathymetry data collected between November 18 - 20, 2015</li> </ul> </li> <li>CCE_LASS_5cm_multibeam_MontereyCanyon_May2016 <ul> <li>Multibeam bathymetry data collected between May 10 - 12, 2016</li> </ul> </li> <li>CCE_LASS_5cm_multibeam_MontereyCanyon_October2016 <ul> <li>Multibeam bathymetry data collected between October 26 - 28, 2016</li> </ul> </li> <li>CCE_LASS_5cm_multibeam_MontereyCanyon_March2017 <ul> <li>Multibeam bathymetry data collected between March 7 - 12th, 2016</li> </ul> </li> </ol> <p>1-cm lateral resolution lidar bathymetry grids:</p> <ol> <li>CCE_LASS_1cm_lidar_MontereyCanyon_May2016 <ul> <li>a portion of the survey area mapped by lidar between May 10 - 12, 2016</li> </ul> </li> </ol>
Fig. 3 in The demersal fish assemblages of the infra and circalittoral coastal rocky bottoms of the Aeo- lian Archipelago (Central Mediterranean Sea) studied by Remotely Operated Vehicle (ROV) Abstract
Fig. 3: Variation (mean ± S.E.) in species richness, diversity (H') and total density among sectors and depth ranges.
Fig. 1 in The demersal fish assemblages of the infra and circalittoral coastal rocky bottoms of the Aeo- lian Archipelago (Central Mediterranean Sea) studied by Remotely Operated Vehicle (ROV) Abstract
Fig. 1: Map of the study area in the southern Tyrrhenian Sea. The three sectors of the Aeolian Archipelago (1=Western sector; 2=Central sector; 3=Eastern sector) and locations of the ROV transects () and the main fishing ports () are indicated in the inset maps.
Fig. 2 in The demersal fish assemblages of the infra and circalittoral coastal rocky bottoms of the Aeo- lian Archipelago (Central Mediterranean Sea) studied by Remotely Operated Vehicle (ROV) Abstract
Fig. 2: Scatter plot of the canonical discriminant analysis on the effects of (a) sector and (b) depth range. Species contribution to the observed patterns is shown with directional vectors. Aant=Anthias anthias, Afil=Aulopus filamentosus, Crub=Callanthias ruber, Cchr=Chromis chromis, Cjul=Coris julis, Dgib=Dentex gibbosus, Dvul=Diplodus vulgaris, Gkol=Gobius kolombatovici, Hdac=Helicolenus dactylopterus, Mhel=Muraena helena, Scab=Serranus cabrilla, Teph=Thorogobius ephippiatus.
Fig. 6. Ectoparasite-host interactions for A in Ectoparasitism on deep-sea fishes in the western North Atlantic: In situ observations from ROV surveys
Fig. 6. Ectoparasite-host interactions for A) Antimora rostrata, B) Nezumia bairdii, and C) Synaphobranchus spp. across the region for which the presence or absence of ectoparasites could be confirmed. Circle Size = Number of confirmed ectoparasite-host interactions 10 m —2. Square = No ectoparasites observed. Colors denote habitats.
Fig. 2 in Ectoparasitism on deep-sea fishes in the western North Atlantic: In situ observations from ROV surveys
Fig. 2. Example images of ectoparasites infecting various host species. A) Antimora rostrata with a lernaeopodid copepod (1059 m, Alvin Canyon); B) Synaphobranchus sp. with a sphyriid copepod (820 m, open slope); C) Nezumia bairdii with a sphyriid copepod parasitized by eight leeches (1035 m, Phoenix Canyon; D), Black fish, Diaphus sp. with an unknown siphonostomatid copepod (1130 m, cold seep) attached behind dorsal fin; E) N. bairdii with aegid isopod (780 m, open slope); F) Hoplostethus mediterraneus with a cymothoid isopod (744 m, Nygren Canyon); G) Amblyraja radiata with aegid isopod (1010 m, Alvin Canyon); and H) Cottunculus thomsonii with gnathiids (1210 m, Oceanographer Canyon).
Fig. 3 in Ectoparasitism on deep-sea fishes in the western North Atlantic: In situ observations from ROV surveys
Fig. 3. Percentage of ectoparasites infecting three common demersal fishes. Unconfirmed observations are not included.
Fig. 1 in Ectoparasitism on deep-sea fishes in the western North Atlantic: In situ observations from ROV surveys
Fig. 1. Locations of 43 ROV dives conducted along the northeastern U.S. continental margin and New England Seamount Chain. Circle Size = Number of ectoparasite-host interactions per dive. Square = No ectoparasites observed. Colors denote habitats.
Fig. 5 in Ectoparasitism on deep-sea fishes in the western North Atlantic: In situ observations from ROV surveys
Fig. 5. Mean abundance (±SE) of A) Antimora rostrata, B) Nezumia bairdii, and C) Synaphobranchus spp. per habitat (black bars). Mean abundance (±SE) of ectoparasitehost interactions (grey bars) is also included. n = number of dives during which the species was present.
Fig. 4 in Ectoparasitism on deep-sea fishes in the western North Atlantic: In situ observations from ROV surveys
Fig. 4. Mean abundance (±SE) of A) Antimora rostrata, B) Nezumia bairdii, and C) Synaphobranchus spp. per depth zone (black bars). Mean abundance (±SE) of ectoparasite-host interactions (grey bars) also included. n = number of dives during which the species was present.
Ria de Vigo - ROV 4k Video
<h2>Abstract</h2> <p>4k videos from ROV Chasing M2. These videos are from the two field trips in the Ria de Vigo. One of September 2023 and one of March 2024. The aim of the dataset is to record the seabed at different depths (September from 20 to 30 metres and March above 3 metres) in the Vigo sea area.</p> <p>This depositry contains data generated within the European S34 project. </p> <h2>Metadata Information</h2> <table> <tbody> <tr> <td> <p><strong>Identification</strong></p> </td> </tr> <tr> <td> <p>Full Title</p> </td> <td> <p>ROV 4k Video</p> </td> </tr> <tr> <td> <p>Abstract</p> </td> <td> <p>4k videos from ROV Chasing M2. These videos are from the two field trips in the Ria de Vigo. One of September 2023 and one of March 2024. The aim of the dataset is to record the seabed at different depths (September from 20 to 30 metres and March above 3 metres) in the Vigo sea area.</p> </td> </tr> <tr> <td> <p>Keywords</p> </td> <td> <p>rov, underwater</p> </td> </tr> <tr> <td> <p>Pilot area</p> </td> <td> <p>Ria de Vigo</p> </td> </tr> <tr> <td> <p>Associated resources</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Language</p> </td> <td> <p>English</p> </td> </tr> <tr> <td> <p>URL</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Categories</p> </td> <td> <p>Other</p> </td> </tr> <tr> <td> <p><strong>Temporal reference</strong></p> </td> </tr> <tr> <td> <p>Creation date (dd.mm.yyyy)</p> </td> <td> <p>09.09.2023</p> </td> </tr> <tr> <td> <p>Revision date (dd.mm.yyyy)</p> </td> <td> <p>09.09.2023</p> </td> </tr> <tr> <td> <p><strong>Quality and validity</strong></p> </td> </tr> <tr> <td> <p>Representation type</p> </td> <td> <p>Other</p> </td> </tr> <tr> <td> <p>Format</p> </td> <td> <p>Other</p> </td> </tr> <tr> <td> <p>Lineage</p> </td> <td> <p>.mp4 files from ROV chasing M2.</p> </td> </tr> <tr> <td> <p>Spatial resolution</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Positional accuracy</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Maintenance information</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Coordinate system</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p><strong>Constranits related to access and use</strong></p> </td> </tr> <tr> <td> <p>Use limitation</p> </td> <td> <p>Some</p> </td> </tr> <tr> <td> <p>Access constraint</p> </td> <td> <p>Commercial use of the original work or any potential derivatives is not allowed. Additionally, the distribution of these derivative works must be done under a license identical to the one governing the original work.</p> </td> </tr> <tr> <td> <p>Public/Private</p> </td> <td> <p>Public</p> </td> </tr> <tr> <td> <p><strong>Responsible organisation</strong></p> </td> </tr> <tr> <td> <p>Responsible Contact</p> </td> <td> <p>Irene Zananiri and George Georgalas</p> </td> </tr> <tr> <td> <p>Responsible Party</p> </td> <td> <p>HSGME</p> </td> </tr> <tr> <td> <p><strong>Metadata on metadata</strong></p> </td> </tr> <tr> <td> <p>Contact</p> </td> <td> <p>Irene Zananiri and George Georgalas</p> </td> </tr> <tr> <td> <p>Metadata language</p> </td> <td> <p>English</p> </td> </tr> </tbody> </table>
Data to support manuscript: A Comparison of Two ROV Survey Methods Used to Estimate Fish Assemblages and Densities Around a California Oil Platform
This fish dataset was collected at platform Harmony, between Aug 25 and Aug 26, 2018. The ROV fish survey was done with two methods: industry (mimicking an inspection survey conducted for platform structural inspections) and biological method. Due to differences between the two methods in the positioning of the ROV vis a vis the jacket crossbeams, fish densities and diversities were different between the two methods at the platform bottom. This dataset provides fish counts and the relevant survey parameters (transect length and depth).
California MPA network ROV data set and code
<p>Dataset of remotely operated vehicle (ROV) surveys conducted across California's MPA network between 2005 and 2021 and code to conduct analyses and produce plots in the manuscript "Diving deep into the network: quantifying protection effects across California's marine protected area network using a remotely operated vehicle".</p>
ROV 4k Video - Ria De Vigo (Spain) pilot site
<table> <tbody> <tr> <td> <p><strong><span>Identification</span></strong></p> </td> </tr> <tr> <td> <p><span>Full Title</span></p> </td> <td> <p><span>ROV 4K Video - Ria De Vigo (Spain) pilot site</span></p> </td> </tr> <tr> <td> <p><span>Abstract</span></p> </td> <td> <p><span>Underwater 4K videos captured using the Chasing M2 ROV with UHD Camera. These videos were collected during two field campaigns in the Ria de Vigo marine area: (a) September 2023 (27/09/2023), and (b) March 2024 (21/03/2024). The aim of the dataset is to record the seabed at different depths (September 2023 depths reaching 35</span><span>m</span><span> and March 2024 depths reaching 3m) in the Vigo shallow waters area.</span></p> </td> </tr> <tr> <td> <p><span>Keywords</span></p> </td> <td> <p><span> ROV, underwater, seabed, video</span></p> </td> </tr> <tr> <td> <p><span>Pilot area</span></p> </td> <td> <p><span> Ria De Vigo</span></p> </td> </tr> <tr> <td> <p><span>Associated resources</span></p> </td> <td> <p><span> </span></p> </td> </tr> <tr> <td> <p><span>Language</span></p> </td> <td> <p><span> English</span></p> </td> </tr> <tr> <td> <p><span>URL</span></p> </td> <td> <p><span> </span></p> </td> </tr> <tr> <td> <p><span>Categories</span></p> </td> <td> <p><span> Video</span></p> </td> </tr> <tr> <td> <p><strong><span>Temporal reference</span></strong></p> </td> </tr> <tr> <td> <p><span>Creation date (dd.mm.yyyy)</span></p> </td> <td> <p><span> 23.08.2024</span></p> </td> </tr> <tr> <td> <p><span>Revision date (dd.mm.yyyy)</span></p> </td> <td> <p><span> 23.08.2024</span></p> </td> </tr> <tr> <td> <p><strong><span>Quality and validity</span></strong></p> </td> </tr> <tr> <td> <p><span>Representation type</span></p> </td> <td> <p><span> Video</span></p> </td> </tr> <tr> <td> <p><span>Format</span></p> </td> <td> <p><span> MP4</span></p> </td> </tr> <tr> <td> <p><span>Lineage</span></p> </td> <td> <p><span> .mp4 files from ROV chasing M2</span></p> </td> </tr> <tr> <td> <p><span>Spatial resolution</span></p> </td> <td> <p><span> </span></p> </td> </tr> <tr> <td> <p><span>Positional accuracy</span></p> </td> <td> <p><span> </span></p> </td> </tr> <tr> <td> <p><span>Maintenance information</span></p> </td> <td> <p><span> </span></p> </td> </tr> <tr> <td> <p><span>Coordinate system</span></p> </td> <td> <p><span> </span></p> </td> </tr> <tr> <td> <p><strong><span>Constraints related to access and use</span></strong></p> </td> </tr> <tr> <td> <p><span>Use limitation</span></p> </td> <td> <p><span> Free</span></p> </td> </tr> <tr> <td> <p><span>Access constraint</span></p> </td> <td> <p><span> None</span></p> </td> </tr> <tr> <td> <p><span>Public/Private</span></p> </td> <td> <p><span> Public</span></p> </td> </tr> <tr> <td> <p><strong><span>Responsible organisation</span></strong></p> </td> </tr> <tr> <td> <p><span>Responsible Contact</span></p> </td> <td> <p><span> <a href="mailto:izananiri@eagme.gr">izananiri@eagme.gr</a> </span></p> </td> </tr> <tr> <td> <p><span>Responsible Party</span></p> </td> <td> <p><span> HSGME</span></p> </td> </tr> <tr> <td> <p><strong><span>Metadata on metadata</span></strong></p> </td> </tr> <tr> <td> <p><span>Contact</span></p> </td> <td> <p><span> <a href="mailto:izananiri@eagme.gr">izananiri@eagme.gr</a></span></p> </td> </tr> <tr> <td> <p><span>Metadata language</span></p> </td> <td> <p><span> English</span></p> </td> </tr> </tbody> </table>
Table S1: Records of bramble shark sightings on 16 December, 2023, offshore of Fujairah, UAE, in the Gulf of Oman. Time is provided in Zulu time (GMT), not in local time. Vessels where sightings occurred are labeled as remotely operated vessels (ROV: Chimera) or human-driven submersibles (Sub: Neptune and Nadir).; Video S1: Video footage of a bramble shark (Echinorhinus brucus) encounter with a submersible at 780 m depth offshore from Fujairah, United Arab Emirates.
<p><span>Table S1: Records of bramble shark sightings on 16 December, 2023, offshore of Fujairah, UAE, in the Gulf of Oman. Time is provided in Zulu time (GMT), not in local time. Vessels where sightings occurred are labeled as remotely operated vessels (ROV: Chimera) or human-driven submersibles (Sub: Neptune and Nadir).</span></p> <p><span>Video S1: Video footage of a bramble shark (<em>Echinorhinus brucus</em>) encounter with a submersible at 780 m depth offshore from Fujairah, United Arab Emirates.</span></p>
In situ ROV video of Santjordia pagesi second individual
<p>A second individual of <em>Santjordia pagesi</em>, observed by the ROV <em>Hyper-Dolphin</em> during Dive 84 on 10 March 2002 at a depth of 843 m (temperature 10.1˚C, salinity 34.35, dissolved oxygen 2.8 ml/L, Sigma T 26.43) within the Sumisu caldera (31˚28’N 140˚04’E) during a cruise by the R/V <em>Kaiyo</em> (KY02-03) to the Ogasawara Island Chain, south of the Japanese mainland. H264 codec transcode of the original ProRes codec video file HPD0084-20020310-105552.3670-SHHD-Front-1920x1080_HDCAM-1o4--NoImpose-Santjordia_pagesi-Dhugal_Lindsay-SEKIJUUJIKURAGE-843m-2ndspecimen-20020310T015552.3670Z.mov in the JAMSTEC High-quality Video Database, managed by Dhugal Lindsay.</p>
In situ ROV video of Santjordia pagesi holotype specimen HD84GS1 (DLSI063)
<p>The holotype of <em>Santjordia pagesi</em>, captured by the ROV <em>Hyper-Dolphin</em> during Dive 84 on 10 March 2002 at a depth of 812 m (temperature 10.2˚C, salinity 34.30, dissolved oxygen 2.8 ml/L, Sigma T 26.37) within the Sumisu caldera (31˚28’N 140˚04’E) during a cruise by the R/V Kaiyo (KY02-03) to the Ogasawara Island Chain, south of the Japanese mainland. H264 codec transcode of the original ProRes codec video file HPD0084-20020310-103457.9343-SHHD-Front-1920x1080_HDCAM-1o4--NoImpose-Santjordia_pagesi-Dhugal_Lindsay-SEKIJUUJIKURAGE-812.9m-20020310T013457.9343Z.mov in the JAMSTEC High-quality Video Database, managed by Dhugal Lindsay. Original file was too large to upload successfully.</p>
In situ ROV video of Tiburonia granrojo specimen HD99SS1 (DLSI004)
<p>In situ video of <em>Tiburonia granrojo</em> specimen HD99SS1, captured by the ROV <em>Hyper-Dolphin</em> during Dive 99 on 23 April 2002 at a depth of 986 m (temperature 2.7˚C, salinity 34.32, dissolved oxygen 0.6 ml/L, Sigma T 27.37) over the Japan Trench (41˚00’N 144˚42’E) during a cruise by the R/V <em>Kaiyo</em> (KY02-06) off the Sanriku coast, east of the main island of Japan. H264 codec transcode of the original ProRes codec video file HPD0099-20020423-151250.0667-SHHD-Front-1920x1080_HDCAM-2of4-TC15125002to17125020DF-NoImpose-Tiburonia_granrojo-Dhugal_Lindsay----20020423T073949.1001Z.mov in the JAMSTEC High-quality Video Database, managed by Dhugal Lindsay.</p>
In situ ROV video of Deepstaria enigmatica specimen HD98SS1 (DLSI014)
<p>In situ video of <em>Deepstaria enigmatica</em> specimen HD98SS1 (DLSI014), captured by the ROV <em>Hyper-Dolphin</em> during Dive 98 on 22 April 2002 at a depth of 669 m (temperature 2.9˚C, salinity 34.14, dissolved oxygen 1.2 ml/L, Sigma T 27.20) over the Japan Trench (41˚00’N 144˚41’E) during a cruise by the R/V <em>Kaiyo</em> (KY02-06) off the Sanriku coast, east of the main island of Japan. H264 codec transcode of the original ProRes codec video file HPD0098-20020422-190233.4671-SHHD-Front-1920x1080_HDCAM-4of4-TC19023314to20411104DF-NoImpose-Deepstaria-Dhugal_Lindsay----20020422T105430.3337Z.mov in the JAMSTEC High-quality Video Database, managed by Dhugal Lindsay.</p>
Monitoring mesophotic scleractinian corals using an underwater mini-ROV to sample eDNA
<p>Mesophotic coral ecosystems (MCEs) are light-dependent tropical or subtropical communities occurring at depths of 30 to 150 m. We recently devised a coral-specific environmental DNA (eDNA) barcoding method that can identify 36 scleractinian genera in shallow reefs by sampling ~1L of surface seawater. If eDNA barcoding is combined with sampling using underwater mini-Remote Operated Vehicles (mini-ROVs), it may be possible to survey mesophotic corals more easily and broadly. Around the Zamami Islands, in Okinawa, Japan, seawater was collected 1–2 m above the bottom at six locations 20–80 m below the surface and subjected to coral-specific eDNA amplification. Metabarcoding analyses showed that (a) eDNA from ~0.5 L seawater was sufficient to identify genera and to yield comparative ratios of genera at these sites; (b) <em>Acropora</em> dominates shallow reefs and upper ridges of slopes, while other genera including <em>Porites, Pocillopora </em>and<em> Polyphyllia </em>are more abundant at mesophotic sites; (c) one site showed a gradient in which <em>Acropora</em> was replaced by <em>Plesiastrea</em> at increasing depths. Although further technical improvements are required, the use of eDNA and underwater mini-ROVs may permit monitoring of mesophotic corals more broadly and easily.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.