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We have found 74 datasets for the keyword " urn:lsid:marinespecies.org:taxname:137080". You can continue exploring the search results in the list below.
Datasets: 106,578
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74 Datasets, Page 1 of 8
Freshwater Atlas - Bays and Channels
Bay and Channel (fresh and marine) features and associated names
Bay of Fundy Benthoscape
The data layer (.shp) presented is the result of an unsupervised classification method for classifying seafloor habitat in the Bay of Fundy (Northwest Atlantic, Canada). This method involves separating environmental variables derived from multibeam bathymetry (slope, bathymetric position index), backscatter, and oceanographic information (wave-shear current velocity) into spatial units (i.e. image objects) and classifying the acoustically and oceanographically separated units into 7 habitat classes (Bedrock and Boulders, Mixed Sediments, Gravelly Sand, Sand, Silty Gravel with Anemones, Silt, and Tidal Scoured Mixed Sediments) using in-situ data (imagery). Benthoscape classes (synonymous to landscape classifications in terrestrial ecology) describe the geomorphology and biology of the seafloor and are derived from elements of the seafloor that were acoustically and oceanographically distinguishable. Reference:Wilson, B.R., Brown, C.J., Sameoto, J.A., Lacharite, M., Redden, A. (2021). Mapping seafloor habitats in the Bay of Fundy to assess macrofaunal assemblages associated with Modiolus modiolus beds. Estuarine, Coastal and Shelf Science, 252. https://doi.org/10.1016/j.ecss.2021.107294Cite this data as: Wilson, B.R., Brown, C.J., Sameoto, J.A., Lacharite, M., Redden, A. Bay of Fundy Benthoscape. Published May 2023. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/dbabd17a-a2c7-4b3f-9bd8-a77a9c7f9c1c
Estimates of shrimp and fish on trawling transects at the seafloor of Bones Bay and Turnour Bay
These data sets provide information pertaining to epifauna taxa including bottom-dwelling shrimp and fish along trawling transects in Bones Bay and Turnour Bay between 2001 and 2002. Data sets were compiled and formatted by Meagan Mak.Abstract from the report:This study is a component of a larger project designed to assess potential effects of shrimp trawling gear on epifauna, shrimp, fish, and benthic habitat of Clio Channel located in Broughton Archipelago, British Columbia, Canada. Replicate beam-trawl surveys were carried out on individual transects in both Bones Bay and Turnour Bay located in the northern and southern portions of Clio Channel, respectively. A submersible, towed video-camera surveyed the seabed to enumerate epifauna and fish taxa before and after trawling activities. In regards to the video surveys, fish and epifauna (e.g. common shrimp) were observed across Clio Channel, while sea whips were predominate in the Turnour Bay video transects.
American lobster (Homarus americanus) abundance and biological characteristics collected from SCUBA dive surveys in the Bay of Fundy from 1982-2021
This dataset reports on lobster abundance and individual biological characteristics (size, sex, shell hardness, egg status), along with seabed substrate information, collected at various coastal sites in the Bay of Fundy, Canada. Surveys were conducted over a 40-year period between 1982 and 2021. Survey areas and SCUBA dive sites were located around Grand Manan Island, Deer Island, Campobello Island, and along the Bay of Fundy’s New Brunswick shore stretching from Passamaquoddy Bay, east to Maces Bay. One survey area was located on the Bay of Fundy’s southern shore (Nova Scotia) in the Annapolis Basin (Lawton et al. 1995). The data represent a compilation of SCUBA diving surveys (1003 belt transects) conducted directly by Fisheries and Oceans Canada (DFO) scientific SCUBA divers (1982-2019), or by contracted commercial divers funded in association with outside collaborating organizations; Department of Fisheries and Agriculture (DFA; 1990 – 1993), the Grand Manan Fishermen’s Association (GMFA; 2013-2015), and the University of New Brunswick (UNB; 2019-2021).Cite this data as: Lawton P, Dinning K, Rochette R, Teed L. American lobster (Homarus americanus) abundance and biological characteristics collected from SCUBA dive surveys in the Bay of Fundy from 1982-2021. Published August 2024. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B.For additional information please see:Campbell, A. 1990. Aggregations of berried lobsters (Homarus americanus) in shallow waters off Grand Manan, eastern Canada. DFO Can. J. Fish. Aquat. Sci. 47: 520-523.Denton, C.M. 2020. Maritimes Region Inshore Lobster Trawl Survey Technical Description. DFO Can. Tech. Rep. Fish. Aquat. Sci. 3376: v + 52 p.Lawton, P. 1993. Salmon aquaculture and the traditional invertebrate fisheries of the Fundy Isles region: habitat mapping and impact definition: Cooperation Agreement on Fisheries and Aquaculture Development. Submitted by Peter Lawton to the New Brunswick Department of Fisheries and Aquaculture, 84 p. Unpublished monograph. Available from Fisheries and Oceans Canada Library, Dartmouth, NS (Monographs: SH 380.2 .C2 .L39 1992).https://science-catalogue.canada.ca/record=3943769~S6Lawton, P., Robichaud, D.A., and Moisan, M. 1995. Characteristics of the Annapolis Basin, Nova Scotia, lobster fishery in relation to proposed marine aquaculture development. DFO Can. Tech. Rep. Fish. Aquat. Sci. 2035: iii + 26 p.Lawton, P., Robichaud, D.A., Rangeley, R.W., and Strong, M.B. 2001. American Lobster, Homarus americanus, population characteristics in the lower Bay of Fundy (Lobster Fishing Areas 36 and 38) based on fishery independent sampling. DFO Can. Sci. Advis. Sec. Res. Doc. 2001/093.Wentworth, C.K. 1922. A Scale of Grade and Class Terms for Clastic Sediments. The Journal of Geology 30(5): 377-392.Dinning, K.M., Lawton, P., and Rochette, R. 2025. Increased use of mud bottom by juvenile American lobsters (Homarus americanus) in Maces Bay and Seal Cove, Bay of Fundy, after three decades of population increases and predator declines. Canadian Journal of Fisheries & Aquatic Sciences 82; https://doi.org/10.1139/cjfas-2023-0312
Islands Trust - Legally Defined Administrative Areas of BC
A legally defined __Islands Trust__ polygon was drawn from metes and bounds descriptions as written in Letters Patent for the Islands Trust in the province of British Columbia. A polygon dataset that includes all of the administrative areas currently in the __Administrative Boundaries Management System (ABMS)__ is available [here](https://catalogue.data.gov.bc.ca/dataset/legally-defined-administrative-areas-of-bc). A complimentary point dataset that defines the administrative areas is also available available [here](https://catalogue.data.gov.bc.ca/dataset/legally-defined-administrative-areas-of-bc-boundary-locations). Other individual datasets are available from the following records: https://catalogue.data.gov.bc.ca/dataset/local-trust-areas-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/municipalities-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/regional-districts-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/electoral-areas-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/province-of-british-columbia-legally-defined-administrative-areas-of-bc
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
Distribution and abundance of whales in the Mackenzie estuary, southeast Beaufort Sea, and west Amundsen Gulf during late July 1992
This dataset contains digital data files on transects flown and reported in Harwood, L.A. and P. Norton (1996). Aerial survey data from the southeast Beaufort Sea, Mackenzie River estuary and west. Amundsen Gulf, July 1992. Canadian Data Report of Fisheries and Aquatic Sciences No. 964
Mapping Inshore Lobster Landings and Fishing Effort on a Maritimes Region Statistical Grid (2015–2019)
This report describes an analysis of Maritimes Region inshore lobster logbook data reported at a grid level, including Bay of Fundy Disputed Zone data reported at the coordinate level. Annual and composite (2015–2019) grid maps were produced for landings, number of trap hauls, and the same series standardized by grid area, as well as maps of catch weight per number of trap hauls as an index of catch per unit effort (CPUE). Spatial differences in fishing pressure, landings, and CPUE are indicated, and potential mapping applications are outlined. Mapping the distribution and intensity of inshore lobster fishing activity has management applications for spatial planning and related decision support. The lack of region-wide latitude and longitude coordinates for inshore lobster effort and landings limits the utility of commercial logbook data for marine spatial planning purposes.
Biological and chemical marine discrete data - Gulf of St. Lawrence and the St. Lawrence Estuary
The Department of Fisheries and Oceans (DFO) holds discrete oceanographic, biological, and chemical data collected throughout the St. Lawrence Estuary, the Gulf of St. Lawrence, and the Saguenay Fjord, as well as data gathered outside of these zones during non-routine surveys (collected by the Quebec region). These data come from samples taken at different depths in the water column (surface, bottom, and intermediate depths), mainly during annual scientific missions such as:- weekly monitoring at fixed stations (Rimouski, Shediac Valley)- annual multispecies surveys (Northern and Southern Gulf)- spring and fall missions of the Atlantic Zone Monitoring ProgramThis dataset presents the variables most frequently sampled for the period 1990 to two years prior to the present, namely, salinity, dissolved oxygen concentration, chlorophyll-a concentration, nutrient concentrations (nitrite, nitrate, silicate, phosphate), pH and alkalinity. These measurements are often accompanied by data from CTD profiles (Conductivity, Temperature, Depth/Pressure) and auxiliary sensors (fluorescence, turbidity, pH).Annual synthesis of the chemical and biological oceanographic conditions of the study area have been published since 2011, and reports on zonal conditions of the four Atlantic regions of DFO are also available for certain years: https://www.dfo-mpo.gc.ca/science/data-donnees/azmp-pmza/index-eng.htmlThis record is updated annually as new data become available. To obtain access to earlier data, less frequently sampled variables, or specifications regarding laboratory analyses (analytical methods, preservation, and storage), please contact the data management team at: gddaiss-dmsaisb@dfo-mpo.gc.ca.Notes: This publication contains data extracted from the national BioChem database (Biological and Chemical Marine Data: DFO.BioChemDatabase-BasededonneesBioChem.MPO@DFO-MPO.GC.CA). When replicate samples were present, the values were averaged, and values were grouped by variable regardless of the analysis method, preservation method, or storage method.The grouping of variables collected at the same station is based on spatial and temporal metadata: LATITUDE, LONGITUDE, DATE, and TIME.
Spawning Stock Biomass Estimates of Atlantic Cod in the Southern Gulf of St. Lawrence NAFO 4T-4Vn (Nov.-Apr.)
PURPOSE:These data have been updated following a Canadian Science Advice Secretariat (CSAS) Regional Science Advisory Process. Associated publications are available in the citation section below or will be posted on the Fisheries and Oceans Canada (DFO) Science Advisory Schedule as they become available.Determine the stock status of southern Gulf of St. Lawrence Atlantic Cod. DESCRIPTION:The yearly spawning stock biomass estimates of southern Gulf of St. Lawrence Atlantic Cod were obtained using a Statistical Catch-at-Age model as part of the stock assessment to year 2023.The yearly estimates presented come from Markov Chain Monte Carlo (MCMC) simulations. The yearly median estimates are provided, along with uncertainty estimates (2.5th, 25th, 75th and 97.5th percentiles). The values are in thousands of tons of spawning stock biomass. USE LIMITATION:To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.
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