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We have found 48 datasets for the keyword " oxbow". You can continue exploring the search results in the list below.
Datasets: 106,103
Contributors: 42
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48 Datasets, Page 1 of 5
Ungulate Winter Range - Proposed
An Ungulate Winter Range (UWR) is defined as an area that contains habitat that is necessary to meet the winter habitat requirements of an ungulate species. UWRs are based on current understanding of ungulate habitat requirements in winter, as interpreted by FLNR regional staff from current scientific and management literature, local knowledge, and other expertise from the region. UWRs within this set of data are currently in the review and consultation stage of the area designation process. As UWRs are designated they will be moved into the [Approved Ungulate Winter Range](http://catalogue.data.gov.bc.ca/dataset/ungulate-winter-range) dataset.
Fenusa pumila
Historical finds of Fenusa pumila
Maritimes Fall Research Vessel Survey
"Fall" missions occur primarily in October and November, but sets from September and December are also present in the data. Collected data includes total catch in numbers and weights by species. Length frequency data is available for most species, as are the age, sex, maturity and weight information for a subset of the individual animals. Other data such as ageing material, genetic material, and stomach contents are often also collected, but are stored elsewhere."Fall" cruises occur in September, October, November and December.Cite this data as: Clark, D., Emberley, J. Data of Maritimes Fall Research Vessel Survey. Published January 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/5f82b379-c1e5-4a02-b825-f34fc645a529
Adelges abietis
Historical finds of Adelges abietis
Operophtera brumata
Historical finds of Operophtera brumata
Removal of American eel from Port Dalhousie
In 2018 and 2019 Fisheries and Oceans Canada conducted a project to relocate American Eel (Anguilla rostrata) from Port Dalhousie Harbour to mitigate potential impacts of in-water construction prior to and during an essential harbour revitalization project. American Eel are designated as Endangered under the Province of Ontario’s Endangered Species Act and were confirmed to be present in the area during initial sampling efforts of this project. While a combination of passive eel traps and boat electrofishing were used to capture eels, this dataset includes passive capture data only. A total of four eels were captured using eel traps and all individuals were relocated to Hamilton Harbour. Only two of the four eels captured were large enough to be tagged with acoustic transmitters, both of which eventually returned to Port Dalhousie from Hamilton Harbour. All other fish species captured in the traps were identified, counted and released at Port Dalhousie.
Archer Fiord Phytoplankton Data 2023
PURPOSE:This Archer fiord data is associated with a larger program ArcticCORE, which was created to fulfill knowledge gaps and develop long term protection in the extremely remote Tuvaijuittuq region. The main objectives of this expedition were to improve our comprehension of the key drivers for productive capacity, diversity and ecosystem structure in areas connected to Baffin Bay and Tuvaijuittuq, including Archer fiord.DESCRIPTION:ArcticCORE is a 5-year broader program aiming to characterize Tuvaijuittuq’s unique ecosystem and its influence and connectivity with the adjacent ecosystems to inform sustainable management and conservation initiatives in Tuvaijuittuq and the eastern Arctic. In an Arctic Ocean with rapidly declining sea ice, Tuvaijuittuq area retains the oldest and thickest sea ice, and can act as a refuge for ice-dependent species. This program aims to characterize the Arctic marine ecosystem and establish baseline measurements for future comparisons in the region. From 2023, water collection was carried out at four stations throughout Archer Fiord and analyzed for primary productivity, chlorophyll a, phytoplankton flow cytometry and phytoplankton taxonomy down to the lowest identifiable level. These data will contribute to a better understanding of the key drivers for productive capacity, diversity and ecosystem structure in Archer fiord. Characterization of these upstream areas are relevant for an ecosystem-based approach to fisheries management in Baffin Bay, a priority for DFO and an intrinsic part of mandated activities, as they influence the ecosystem and fisheries resources downstream.
Vessel Density Mapping of 2016 AIS Data in the Northwest Atlantic
The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.
Maritimes 4VSW Research Vessel Survey
“4VSW” missions focus on the eastern half of the Scotian Shelf, and occur primarily in March, but sets in both February, and April are also present in the data. These missions use a unique stratification scheme intended to optimize the abundance estimates of cod. Collected data includes total catch in numbers and weights by species. Length frequency data is available for most species, as are the age, sex, maturity and weight information for a subset of the individual animals. Other data such as ageing material, genetic material, and stomach contents are often also collected, but are stored elsewhere.Cite this data as: Clark, D., Emberley, J. Data of Maritimes 4VSW Research Vessel Survey. Published January 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/a851ce30-e216-4d7d-a29c-05631eef140e
Focus Area for the Regional Assessment of Offshore Wind Development in Newfoundland and Labrador
Depicts priority area for work under the Regional Assessment of Offshore Wind Development in Newfoundland and Labrador. The Committee for the Regional Assessment of Offshore Wind Development in Newfoundland and Labrador (Committee) is responsible for providing information, knowledge and analysis regarding future offshore wind development (OSW) to inform and improve future planning, licencing and impact assessment processes. The Committee’s mandate is set out in the Agreement to Conduct the Regional Assessment of Offshore Wind Development in Newfoundland and Labrador (Agreement), and includes assessing potential environmental, health, social and economic effects of future OSW. The Agreement includes a broad Study Area. In November 2023, the Committee determined OSW interest in the foreseeable future is more likely within a portion of the Study Area set out in the Agreement. The Committee defined this portion of the Study Area as the assessment's Focus Area. The Committee continues to conduct the Regional Assessment (i.e., present information on existing conditions and consider potential impacts of OSW) within the Focus Area. The Committee's decision to define the Focus Area and supporting rationale is available here: https://iaac-aeic.gc.ca/050/evaluations/document/153431 The Agreement to conduct the Regional Assessment is available here: https://iaac-aeic.gc.ca/050/documents/p84343/147037E.pdf
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