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12 results for “Sea vessel”
Dataset for Fisher et al. (2023). Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels. IET Image Processing, 17(2), pp.349-361.
<p>This dataset contains the video clips used to produce the results presented in:</p><p>Fisher, M., French, G., Gorpincenko, A., Holah, H., Clayton, L., Skirrow, R. and Mackiewicz, M., 2023. Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels. IET Image Processing, 17(2), pp.349-361.</p>
Dataset of the Volkswagen Fond Project no. 90 216 " Early mounted nomads and their vessels Ceramic analysis project aimed at supporting the reconstruction of socio-economic conditions in mobile populations north of the Black Sea between 1100 and 600 BC"
<p>The Excel-Sheet contains information (location of the site, chronological position, type of site, archaeological culture, literature, photographies and drawings, analysis made, results of the analysis, etc.) about the samples taken in the Volkswagen Fond Project no. 90 216 "Early mounted nomads and their vessels Ceramic analysis project aimed at supporting the reconstruction of socio-economic conditions in mobile populations north of the Black Sea between 1100 and 600 BC".</p> <p>The project itself focuses on contacts and interactions between groups with different material culture remains in two vegetation zones to the north of the Black Sea.The investigation takes a complex archaeometric approach to characterise the pottery of communities that lived in the forest steppe zone and steppe zone to the north of the Black Sea between the Dniester and Dnieper rivers between 1100 and 600 BC. By using an multidisciplinary approach to study the material culture of these communities with mobile lifeways, this project will allow the comparison of the natural science and archaeological data for the first time.</p> <p>The Excel-Sheet presents the results of various analyses performed during the project and serves as the database for publications of the project members.</p>
Vessel noise exposures of harbour seals from the Wadden Sea
<p>The North Sea faces intense ship traffic owing to increasing human activities at sea. As harbour seals (<em>Phoca vitulina</em>) are abundant top predators in the North Sea, it is hypothesised that they experience repeated, high-amplitude vessel exposures. Here, we test this hypothesis by quantifying vessel noise exposures from deployments of long-term sound and movement tags (DTAGs) on nine harbour seals from the Wadden Sea. An automated tool was developed to detect intervals of elevated noise in the sound recordings. An assessment by multiple raters was performed to classify the source as either vessels or other sounds. A total of 133 vessel passes were identified with received levels >97 dB re 1µPa RMS in the 2 kHz decidecade band and with ambient noise >6 dB below this detection threshold. Tagged seals spent most of their time within Marine Protected Areas (89 ± 13%, mean ± SD) and were exposed to high-amplitude vessel passes 4.3 ± 1.6 times per day. Only 32% of vessel passes were plausibly associated with an AIS-registered vessel. We conclude that seals in industrialized waters are exposed repeatedly to vessel noise, even in areas designated as protected, and that exposures are poorly predicted by AIS data.</p>
The catches of different lamps using on the falling-net fishing vessels in South China Sea
<p><span>Falling nets are a type of fishing gear that appeared and developed rapidly in the northern of South China Sea in the early 1990s. We have developed Light-emitting diode (LED) fishing lamps to replace metal halide (MH) lamps that reduce fuel consumption without reducing the catches. We conducted marine light-fishing experiments in the northern South China Sea from September 20 to 26, 2019, and August 29 to 31, 2021. The results in the first fishing experiment show that there is no significant change in catch of the falling-net fishing vessel when the white LED lamps (with a total power of 36 kW) were used instead of MH lamps (with a total power of 120 kW). Squid catches of the falling-net fishing vessel increased significantly when white LED lamps (with a total power of 36 kW) and cyan LED lamps (with a total power of 6.0 kW) were used. The results in the second fishing experiment show that the total weight of catches of the cyan LED fishing lamps is more than that of the white LED fishing lamps, and the cyan LED light can attract <em>Penaeus merguiensis</em> and <em>Thryssa dussumieri</em> more effectively than the white LED light.</span></p>
The catches of different lamps using on the falling-net fishing vessels in South China Sea
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Vessel noise exposures of harbour seals from the Wadden Sea
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Data from: Alien species spreading via biofouling on recreational vessels in the Mediterranean Sea
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SPURS-2 research vessel along track SEA-POL rain radar imaging data for E. Tropical Pacific R/V Revelle-2 cruise
The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. The SEA-POL rain radar instrument was employed over the period 22 Oct.-10 Nov. 2017 during the second SPURS-2 R/V Revelle cruise. SEA-POL (seagoing-polarimetric radar) is a C-band, Doppler polarimetric radar system providing 240-degree sector coverage centered on the ships bow via its 1-degree beam width antenna. SEA-POL was used primarily to map rainfall in SPURS-2. The resulting dataset is a series of gridded netCDF data files for a 20 day period at 5-20 minute intervals comprised of rain rate and rain accumulation fields.
Figure 1 from: Shao K-T, Lin J, Yeh H-M, Lee M-Y, Chen L-S, Lin H-W (2014) A Dataset of Deep-Sea Fishes Surveyed by Research Vessels in the Waters around Taiwan. ZooKeys 467: 103-110. https://doi.org/10.3897/zookeys.466.8523
Figure 1 - Taxonomic coverage (by order).
Figure 3 from: Shao K-T, Lin J, Yeh H-M, Lee M-Y, Chen L-S, Lin H-W (2014) A Dataset of Deep-Sea Fishes Surveyed by Research Vessels in the Waters around Taiwan. ZooKeys 467: 103-110. https://doi.org/10.3897/zookeys.466.8523
Figure 3 - Spatial coverage (sampling routes).
Figure 2 from: Shao K-T, Lin J, Yeh H-M, Lee M-Y, Chen L-S, Lin H-W (2014) A Dataset of Deep-Sea Fishes Surveyed by Research Vessels in the Waters around Taiwan. ZooKeys 467: 103-110. https://doi.org/10.3897/zookeys.466.8523
Figure 2 - Taxonomic coverage (by family).
PISTON 2018 Research Vessel (RV) Thompson ship datasets of ocean, atmosphere, and air-sea interaction
PISTON-ONR-NOAA_RVThompson_2019 is the Propagation of Intra-Seasonal Tropical Oscillations (PISTON) 2018 Research Vessel (RV) Thompson data product. This product is the result of a joint effort that involved NASA as well as the Office of Naval Research (ONR), and National Oceanic and Atmospheric Administration (NOAA). Data was collected collection for this product using multiple instruments on the RV Thompson platform.The PISTON field campaign, sponsored by the Office of Naval Research (ONR) and the National Oceanic and Atmospheric Administration (NOAA), was designed to gain understanding and enhance the prediction capability of multi-scale tropical atmospheric convection and air-sea interaction in this region. PISTON targeted the Boreal Summer Intraseasonal Oscillation (BSISO), which defines the northward and eastward movement of convection associated with equatorial waves, the MJO, tropical cyclones, and the Maritime Continent monsoon during northern-hemispheric (boreal) summertime. PISTON completed three total shipboard cruises (this doi), deployed eight drifting ocean profiling floats and two full-depth ocean moorings, collaborated with a Japanese research vessel collecting similar data, and also made use of soundings from nearby islands. These activities took place in the Philippine Sea, which is in the tropical northwestern Pacific Ocean north of Palau, between August 2018 - September 2019, with each dataset spanning a slightly different amount of time. There were two US research vessels involved in PISTON: R/V Thomas G. Thompson in Aug-Sept and Sept-Oct 2018 (this doi) and R/V Sally Ride in Sept 2019. The first 2018 cruise coincided collaborative activities with R/V Mirai. The 2019 cruise coincided with the NASA CAMP2Ex airborne field experiment (Clouds, Aerosol and Monsoon Processes-Philippines Experiment, please see more info below). The two specialized moorings were deployed north of Palau and collected data from August 2018 - Oct 2019 to document a time series of ocean characteristics beneath typhoons and other tropical weather disturbances. Toward the same goal, eight profiling ocean floats were also deployed ahead of typhoons in 2018. For characterization of clouds and precipitation, the PISTON shipboard instrument payload included a scanning C-band dual-polarization Doppler radar (SEA-POL), a vertically-pointing Doppler W-band radar, and multiple vertically- and horizontally-scanning lidars. Rawinsondes were launched from the ships for atmospheric profiling. Additional radiosonde and precipitation radar data were collected from R/V Mirai via an international collaboration. Regular soundings were also archived from islands neighboring the Philippines and the Philippine Sea: Dongsha Island, Taiping Island, Yap, Palau, and Guam. Additional atmospheric sampling from the PISTON R/V Thompson 2018 and Sally Ride 2019 cruises included an electric field meter and disdrometer in 2018, and all-sky camera images in 2019. To document near-surface meteorological conditions, air-sea fluxes, and upper-ocean variability including ocean vertical profiles on these cruises, instruments were deployed on and towed from the ship. Additional profiles of ocean acoustics and oceanic chemistry were not archived but are available upon request by James N. Moum, Oregon State University, jim.moum@oregonstate.edu. A forecast team analyzed and predicted conditions of the weather and ocean throughout the PISTON experiment, which were not archived but are available upon request for future modeling and observational analysis studies (contacts: Sue Chen, US Naval Research Lab Monterey, sue.chen@nrlmry.navy.mil and Michael M. Bell, Colorado State University, mmbell@colostate.edu). There are five total DOIs related to PISTON, separated by ship (and therefore year) as well as other platforms/locations that span multiple years:https://doi.org/10.5067/SUBORBITAL/PISTON2018-ONR-NOAA/RVTHOMPSON/DATA001 (this doi)https://doi.org/10.5067/SUBORBITAL/PISTON2019-ONR-NOAA/RVSALLYRIDE/DATA001https://doi.org/10.5067/SUBORBITAL/PISTON2018-2019-ONR-NOAA/AUTONOMOUS/DATA001 https://doi.org/10.5067/SUBORBITAL/PISTON2018-2019-ONR-NOAA/ISLANDS/DATA001https://doi.org/10.5067/SUBORBITAL/PISTON2018-ONR-NOAA/RVMIRAI/DATA001The CAMP2Ex 2019 data DOI is:https://doi.org/DOI: 10.5067/Suborbital/CAMP2EX2018/DATA001The CAMP2Ex (Clouds, Aerosol and Monsoon Processes-Philippines Experiment, 2019) and PISTON (Propagation of Intra-Seasonal Tropical Oscillations, 2018-2019) were two field studies conducted collaboratively in the Southeast Asian region. While each study had its own set of science objectives, there were common and complementary science goals and instrument payloads between these two projects. Consequently, a synergistic partnership was established at the very beginning of the projects and a coordinated sampling strategy was developed to extend spatial coverage and obtain temporal context information, which benefits the analysis of both data sets fo
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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.