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We have found 77 datasets for the keyword "sédiment". You can continue exploring the search results in the list below.
Datasets: 103,466
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77 Datasets, Page 1 of 8
Seabed grain size analyses, offshore Canada
Grain size is the most fundamental physical property of sediment, and these data are widely used in a variety of applications in science. Marine expeditions of the Geological Survey of Canada have been collecting grain size information on seabed and sub-seabed samples for over 50 years. Results have been recorded at 5th phi midpoints since the early 1990's in contrast to the earlier full, half or quarter phi interval end point values. Users of high resolution data must note that the sum of %Silt and %Clay equals the total %Mud makeup and that %Gravel, %Sand, %Silt and %Clay sum to 100%. Summary statistics include percentages of gravel, sand, silt, clay and mud as well as mean, kurtosis, skewness and standard deviation. The quality of these data varies. Results should be used with some caution as they may not be fully representative of seabed grainsize, particularly in areas of sandy and coarser sediment (e.g., sand and mud can leak out of the sampler during recovery). Canada makes no representation or warranty of any kind with respect to the accuracy, usefulness, novelty, validity, scope, completeness or currency of the data and expressly disclaims any implied warranty of merchantability or fitness for a particular purpose of the data. For the purpose of the web mapping service, grain size data are sorted by the expedition id. Coarse and detailed grain size distribution plots are shown when a point is chosen. If the sample contains more that one sub-sample ( e.g., as with a piston core sequence), the grain size plots are stacked in the display window from the top of the core downwards.
Maritime region grain size data
Fisheries and Oceans Canada (DFO) Maritime Science Branch has collected grain size data from sediment and water column samples using bottle samples, sediment cores, and sediment grabs as part of numerous research projects not only in the Atlantic provinces, but also worldwide. The data collected by DFO focuses on the fine grained (<1mm) particles as these are both a source of food and means of contaminant transport. Grain size data are used to study the fate and distribution of complimentary chemistries like heavy metals, pesticides, hydrocarbons, aquaculture waste as well as a variety of physical processes such as the resuspension and transport of sediment.
Geochemistry
Geochemistry includes information related to rock samples and sediment samples.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Historical trace metals concentrations from sediment samples and suspended particulate matter (SPM) samples, 1976 - 1987
This dataset is a compilation of numerous data files recovered as part of a data request in 2024 from a historical archive of DFO research data. Sediment and Suspended Particulate Matter (SPM) samples were collected over more than a decade as part of Dr. Douglas Loring’s research program while working at the Bedford Institute of Oceanography (BIO). Samples were collected as part of individual and collaborative research projects, and links to the relevant primary science publications and reports are included in the data in an effort to provide context to the data, as well as describe the field and laboratory techniques used to generate the attached data.
Northern Marine Coastal and Ecosystem Studies in the Canadian Beaufort Sea- sediment chemistry
This record contains results from chemical analysis including suspended nitrogen (mg/g), suspended carbon (mg/g), and phosphorus (mg/g) based on dry weight sediment samples collected in the Beaufort Sea.
Biodiversity of the Benthic Infauna Box Core Survey from CBS-MEA program (2021-2023)
This dataset documents the infauna occurrences collected from 2021 to 2023 during the Canadian Beaufort Sea Marine Ecosystem Assessment (CBS-MEA) conducted by the Department of Fisheries and Oceans (DFO). This scientific program focuses on the integration of oceanography, food web linkages, physical-biological couplings, and spatial and interannual variabilities.The program also aims to expand the baseline coverage of species diversity, abundances, and habitat associations in previously unstudied areas of the Beaufort Sea and Western Canadian Archipelago. The study took place mainly in the Canadian Beaufort Sea and the Amundsen Gulf. Sampling is done along transects at fixed stations in the study area. Catches are collected using a 50 x 50 cm box-corer. 2 or 3 box core is collected per station to obtain replicates. A total of 29 stations were sampled for infauna in 2021, 15 in 2022 and 25 in 2023 between 10-653 m depth. Half of the box corer (0.125 m2) is sampled for infauna taxonomy. The first 20 cm of sediment are collected and sieved through a 0.5 mm mesh sieve. The samples are preserved in seawater-formaldehyde solution (10 % v/v). In the lab, infauna is identified to the lowest taxon level possible.The data are presented in two files:The "Activité_endofaune_CBSMEA_infauna_event_en" file which contains information about missions, stations and deployments, which are presented under a hierarchical activity structure.The "Occurrence_endofaune_CBSMEA_infauna_en" file that contains the taxonomic occurrences.
Bathymetric compilation for Scotian Shelf and Newfoundland-Labrador Shelves bioregions, offshore Atlantic Canada
The Marine Geoscience for Marine Spatial Planning (MGMSP) program, implemented byNatural Resources Canada (NRCan), is an initiative with the goal of offering innovativeregional geoscience products to support the Department of Fisheries and Oceans (DFO) intheir Marine Spatial Planning endeavors. To develop spatial management plans for variousexpansive bioregions across Canada, the DFO has undertaken the task of creatingcomprehensive ocean management strategies. Presently, the MGMSP program isconcentrating its efforts on two significant bioregions, namely the Scotian Shelf andNewfoundland and Labrador Shelves bioregions.In pursuit of this objective, the work presented in this report has focused on theassimilation and gridding of numerous disparate bathymetry datasets sourced fromauthoritative and reliable channels. The purpose of this comprehensive data gatheringapproach is to establish a unified bathymetric grid, with a consistent spatial resolution,which can be utilized in both oceanographic modeling and geological interpretation. Bycollating information from a diverse range of sources, we aim to create a comprehensiveand reliable foundation that will enable accurate and informed decision-making in the fieldof marine spatial planning, as well as enhance the accuracy and reliability of subsequentanalyses and simulations.
Southern Ontario Surficial 3D Model
To support improved groundwater geoscience knowledge for southern Ontario, a regional 3-D model of the surficial geology of southern Ontario has been developed as a part of a collaboration between the Ontario Geological Survey and the Geological Survey of Canada. Covering approximately 66,870 km2 in area, the model is a synthesis of existing geological models, surficial geology mapping, and subsurface data. The model is a simplified 9-layer reclassification of numerous mapped local surficial sediment formations in places over 200 m thick with a total volume of approximately 2,455 km3. The model integrates 1:50,000 scale surficial geology mapping with 90 m bathymetrically corrected topographic digital elevation model (DEM) and 8 existing local 3-D models. Archival subsurface data include 10,237 geotechnical and stratigraphic boreholes, 3,312 picks from geophysical surveys, 15,902 field mapping sites and sections, 537 monitoring and water supply wells and 282,995 water well records. Roughly corresponding to regional aquifer and aquitard layers, primary model layers are (from oldest to youngest): Bedrock, Basal Aquifer, Lower Sediment, Regional Till, Post Regional Till Channel Fill, Glaciofluvial Sediment, Post Regional Till Mud, Glaciolacustrine Sand and Recent Sediment / Organics. Modelling was completed using an implicit modelling application (LeapFrog®) complemented by an expert knowledge approach to data classification and rules-based Expert System procedure for data interpretation and validation. An iterative cycle of automated data coding, intermediate model construction and manual data corrections, expert evaluations, and revisions lead to the final 3-D model. A semi-quantitative confidence assessment has been made for each model layer surface based on data quality, distribution and density. This surficial geology model completes the development of a series of regional 3-D geological and hydrogeological models for southern Ontario.
Radiocarbon dates, offshore Canada
Radiocarbon dates are derived from organic samples collected through marine and coastal expeditions of the Geological Survey of Canada Atlantic and Pacific. These efforts were conducted primarily to better understand the spatial and temporal coverage of sediments and seabed-fast marine ice during the last deglaciation. The quality of these data varies - ranging from imprecise bulk samples and more accurate AMS estimates derived from single shell fragments. These data are ordered in the menu in 1000 year divisions. By default, only conventional radiocarbon ages are displayed, and reservoir-corrected and measured ages are hidden.
Seafloor photographs, offshore Canada
Photographs of the seabed have been collected during marine expeditions of the Geological Survey of Canada Atlantic and Pacific for over 50 years. Typically, a sequence of 10 to 20 photos are taken at a single station as the vessel drifts with prevailing winds and currents and the camera is repeatedly lowered to and raised from the seafloor. The suite of photos from each station may best be considered a representative ensemble from the proximal area. Only in the more recent expeditions, where differential GPS and ultra-short baseline positioning is used in camera positioning, is the relative positional information given for each photo meaningful in interpreting the sequence as a transect. Reduced-scale, thumbnail photos are displayed for the sequence of photos taken at each station. Each photo is labelled with the expedition id, the station number and the photo number.
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