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We have found 1,133 datasets for the keyword "oceanographic sampling". You can continue exploring the search results in the list below.
Datasets: 104,050
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1,133 Datasets, Page 1 of 114
Beaufort Sea Marine Fishes Project (BSMFP) 2012 - Sampling Stations
From August 5th to September 3rd, 2012, Fisheries and Oceans Canada conducted a baseline survey of marine fishes and their habitats on the Canadian Beaufort Shelf and slope. Sampling was conducted from the F/V Frosti at 28 stations along four transects. Standardized sampling was conducted at pre-determined depth stations (20-40, 75, 200, 350, 500, 750, and 1000 m) using a variety of sampling equipment including benthic fishing trawls, plankton nets, sediment cores, and CTD and water sample profiles. A specialized CTD probe (UCTD) was deployed at an additional 30 locations while the ship was underway. Presented here is the information on the sampling locations, and the sampling gear deployed at each station.
Beaufort Sea Marine Fishes Project (BSMFP) 2013 - Sampling Stations
From August 2nd to September 9th, 2013, Fisheries and Oceans Canada conducted a baseline survey of marine fishes and their habitats on the Canadian Beaufort Shelf and slope. Sampling was conducted from the F/V Frosti at 64 stations along ten transects. Standardized sampling was conducted on the transects at pre-determined depth stations (20-40, 75, 200, 350, 500, 750, and 1000 m) using a variety of sampling equipment including benthic fishing trawls, plankton nets, sediment cores, and CTD and water sample profiles. A specialized CTD probe (UCTD) was deployed at an additional 72 locations while the ship was underway.Presented here is the information on the sampling locations, and the sampling gear deployed at each station.
Cobb Seamount Visual Survey 2012 (AUV)
This dataset contains observations of species occurrences from seafloor imagery collected by the autonomous underwater vehicle (AUV) during the 2012 Expedition to Cobb Seamount. The National Oceanographic and Atmospheric Administration-operated SeaBED-class AUV which collected photographic images from 4 transects ranging from 436 m to 1154 m in depth.
Baseline oceanographic records for the Eastern Shore Islands Area of Interest
The Eastern Shore Islands was announced as an "Area of Interest" (AOI) in 2018 by the DFO Maritimes region to potentially be considered for a Marine Protected Area under the federal Oceans Act. As part of its mandate for monitoring established and potential conservation areas, DFO Science regularly deploys instruments including conductivity/temperature/depth (CTD) loggers, and other instruments for measuring dissolved oxygen, nutrients, and other chemical ocean properties. This data collection includes temperature and other oceanographic records for the ESI AOI from June 2024 onward. The data are derived from temperature loggers (Hobo Tidbit loggers or similar) and Sea-Bird MicroCATs, but may in future years include current profiles or additional oceanographic data. These data will be used to monitor temperatures in this coastal region to detect any biological shifts associated with temperature and climate fluctuations, and be used to groundtruth oceanographic models.Cite this data as: Jeffery, N., Stanley, R., Pettitt- Wade, H. (2025): Data of: Baseline oceanographic records for the Eastern Shore Islands Area of Interest.Published: September 2025. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/f0020cec-5671-4908-8fdd-11fc097de99d
Standard Oceanographic Sampling Stations (Pacific)
To develop a database of high quality CTD observations at key locations in DFO’s Pacific Region, 22 stations have been selected for sampling as often as possible. Chief Scientists of DFO vessels with CTD equipment on board are asked to acquire a CTD profile at as many of these stations as possible. There may be circumstances that will prevent conducting a CTD cast but the intent is to collect as many as possible such that over time useful time series of CTD profiles will be available at these locations.
Pteropod abundance and shell dissolution in the Canadian Beaufort Sea/Amundsen Gulf
The Beaufort Regional Environmental Assessment-Marine Fishes Project (2012-2014) and Canadian Beaufort Sea-Marine Ecosystem Assessment (CBS-MEA, 2017-present) conducted by Fisheries and Oceans Canada provide offshore surveys of marine fishes and ecosystems on the Canadian Beaufort Shelf and slope in August and early September. The projects focus on integrating oceanography, food web linkages, physical-biological couplings and spatial and inter-annual variability, within the context of ongoing climate-driven change including enhanced Ocean Acidification. Sampling was conducted from the F/V Frosti at stations along transects spanning 20-1000 m. Zooplankton was collected using a bongo or multi-net system in conjunction with oceanographic and biogeochemical sampling.
Ocean Data Inventory ( ODI ): A Database of Ocean Current, Temperature and Salinity Time Series for the Northwest Atlantic
The Ocean Data Inventory database is an inventory of all of the oceanographic time series data held by the Ocean Science Division at the Bedford Institute of Oceanography. The data archive includes about 5800 current meter and acoustic doppler time series, 4500 coastal temperature time series from thermographs, as well as a small number (200) of tide gauges. Many of the current meters also have temperature and salinity sensors. The area for which there are data is roughly defined as the North Atlantic and Arctic from 30° - 82° N, although there are some minor amounts of data from other parts of the world. The time period is from 1960 to present. The database is updated on a regular basis.
Demersal fish and benthic invertebrate assemblages in the Northwest Atlantic
Marine classification schemes based on abiotic surrogates often inform regional marine conservation planning in lieu of detailed biological data. However, theses chemes may poorly represent ecologically relevant biological patterns required for effective design and management strategies. We used a community-level modeling approach to characterize and delineate representative mesoscale (tens to thousands of kilometers) assemblages of demersal fish and benthic invertebrates in the North-west Atlantic. Hierarchical clustering of species occurrence data from four regional annual multispecies trawl surveys revealed three to six groupings (predominant assemblage types) in each survey region, broadly associated with geomorphic and oceanographic features. Indicator analyses identified 3–34 emblematic taxa of each assemblage type. Random forest classifications accurately predicted assemblage dis-tributions from environmental covariates (AUC > 0.95) and identified thermal limits (annual minimum and maximum bottom temperatures) as important pre-dictors of distribution in each region. Using forecasted oceanographic conditions for the year 2075 and a regional classification model, we projected assemblage dis-tributions in the southernmost bioregion (Scotian Shelf-Bay of Fundy) under ahigh emissions climate scenario (RCP 8.5). Range expansions to the north eastare projected for assemblages associated with warmer and shallower waters of the Western Scotian Shelf over the 21st century as thermal habitat on the rela-tively cooler Eastern Scotian Shelf becomes more favorable. Community-level modeling provides a biotic-informed approach for identifying broadscale ecolog-ical structure required for the design and management of ecologically coherent, representative, well-connected networks of Marine Protected Areas. When com-bined with oceanographic forecasts, this modeling approach provides a spatial tool for assessing sensitivity and resilience to climate change, which can improve conservation planning, monitoring, and adaptive management.Cite this data as: O'Brien, J.M., Stanley, R.R.E., Jeffery, N.W., Heaslip, S.W., DiBacco, C., and Wang, Z. Demersal fish and benthic invertebrate assemblages in the Northwest Atlantic.Published: December 2024. Coastal Ecosystems Science Division, Maritimes region, Fisheries and Oceans Canada, Dartmouth NS.https://open.canada.ca/data/en/dataset/14d55ea5-b17d-478c-b9ee-6a7c04439d2b
Passamaquoddy Bay monthly Conductivity Temperature and Depth (CTD) sampling (1989 - 2018)
A systematic oceanographic monitoring program was initiated in September 1989 at twenty-five monitoring stations in the Passamaquoddy Bay area and approaches by Dr. Shawn Robinson based out of the St. Andrews Biological Station (SABS). Stations were established in a uniform grid pattern of two arcminutes latitude and longitude over the study area in order to develop a database on the spatial patterns of water properties. Monthly measurements of the water column for the temperatures and salinity at all stations was completed using a Seacat SBE 19 internally recording CTD from Sea-bird Electronics Inc. The CTD was programmed to record conductivity, temperature, and depth at a frequency of 2 hz, corresponding to 2 measurements per meter of water depth. CTD casts were recorded for each of the 25 stations in the study area monthly using the R/V Pandalus, and later the CCGS Viola M. Davidson based out of SABS. The CTD was configured such that the sensors were oriented towards the benthos and the CTD was then attached to a hydraulic winch on the deck of the ship by a stainless steel cable one meter above a weight, and lowered 1 m below the water's surface in order for the CTD to equilibrate for one minute. The CTD was then lowered at 1 m/s to the benthos using a metered block on the winch to determine when the CTD had reached the maximum depth at that station. Once the weight had touched the bottom, the CTD was retrieved from the water, turned off, and placed in a bucket of fresh seawater in order to minimize equilibration time at the next station. Initially, the CTD measured salinity via water forced through the salinity cell with the drop rate of 1 m/s, but in August 1992, a pump was mounted on the CTD in order to provide a more consistent flow of water across the salinity cell. Surface temperatures were measured from bucket samples collected upon arriving at each station using a hand-held mercury thermometer at each station, and Secchi disk measurements were recorded. All data were downloaded from the CTD upon return to SABS using a DFO computer and the proprietary Sea-Soft software. Downcast data from each profile was retained, binned into 1 m intervals, and processed to remove data spikes, density inversions, and anomalies due to inadequate instrument equilibration. Processed data was then stored in the DFO's Oracle database (PTRAN) under the IMTA_SABS schema in the INVHYD and INVINF tables. Station numbers and locations are recorded in the CTD_STATIONS table in the IMTA_SABS schema.Cite this data: Robinson, S. Data of: Passamaquoddy Bay monthly Conductivity Temperature and Depth (CTD) sampling (1989 - 2018). Published: October 2019. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, NB. https://open.canada.ca/data/en/dataset/12184962-7879-4214-aef0-b31162f04a27
Metadata of benthic imaging surveys in the Banc-des-Américains Marine Protected Area
This dataset was developed to document the procedures for acquiring underwater images in the Banc-des-Américains Marine Protected Area (MPA). Its primary objective is to provide a comprehensive inventory of metadata linked to imagery campaigns that allowed us to conduct a basic characterization of the area, and now that are used for ecological monitoring of the benthic habitats within the MPA.Metadata were collected during imagery surveys conducted since 2012, using three main methods: drop cameras on the crest, baited drop stereoscopic cameras on both the crest and plains, and towed cameras on the plains. For each operation are shared the type of gear used, sampling method, date, geographic coordinates, and acquisition depth.The released dataset contains only descriptive information related to the acquisition of images : file identifier, location, sampling methodology, depth, and technical imaging parameters. It does not include image files themselves, visual content, or the results of image analyses.A systematic quality control is applied to ensure completeness and consistency of the metadata: field format standardization, validation of GPS coordinates, verification of dates and recorded depths. Clear instructions guide the recording of metadata to guarantee their reliability for management and scientific monitoring purposes.
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