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We have found 25 datasets for the keyword " nereocystis". You can continue exploring the search results in the list below.
Datasets: 103,380
Contributors: 42
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25 Datasets, Page 1 of 3
Scientific survey of sea scallop (Placopecten magellanicus) and Icelandic scallop (Chlamys islandica) around the Magdalen Islands (fishing area 20A)
Since 1985, research surveys targeting scallops—primarily the sea scallop (Placopecten magellanicus) and, to a lesser extent, the Icelandic scallop (Chlamys islandica)—have been conducted by Fisheries and Oceans Canada (DFO) at one- or two-year intervals around the Magdalen Islands (fishing area 20A). The main objective of this survey is to assess the status of sea scallop stocks. The study area is situated south of the Magdalen Islands, where scallop beds are typically sampled at depths ranging from approximately 25 to 35 m. Sampling stations are randomly selected from a predetermined fixed grid, with sampling conducted along transects at these randomly assigned locations within the study area. Each station is sampled using a lined Digby scallop dredge (20 mm mesh size), towed for roughly 500 m across the seabed.This publication includes three files: the file biometriePetoncle_20, which contains detailed biometric data (species, size, weights and sex) from 1998 to 2024; the file taillePetoncle_20, which provides the size of the individuals sampled from 2009 to 2024; and the file traitPetoncle_20 which contains the abundances and densities per tow from 2009 to 2024. Data on abundances and densities per tow from 1998-2008 is available upon request.This dataset is updated every one to two years as data becomes available. A cleaning of aberrant data has been carried out. However, there is missing data in various columns of the dataset – use the data with caution. If you have any questions please contact DFO.DataManagementSAISB-GestionDonneesDAISS.MPO@dfo-mpo.gc.ca or the author. For certain time periods, associated species are identified and semi-quantitatively counted directly on the sorting table, and the results are presented in the following publications: - https://open.canada.ca/data/en/dataset/6529a4b0-f863-4568-ac71-1fa26cf68679- https://open.canada.ca/data/en/dataset/71732ad5-5c70-4dbf-916d-a94e1380c53b
Village
The Village dataset is comprised of all the polygons that represent Villages in Alberta. Village is a municipality type defined under the authority of the Municipal Government Act. The formation of a Village can occur when a majority of the buildings are on parcels of land smaller than 1850 square meters and there is a population of 300 or more.
Hamlet, Locality and Townsite Point
The Culture Point dataset is comprised of all the points that represent Hamlets, Localities and Townsites in Alberta. The formation of a Hamlet can occur if there are 5 or more buildings used as dwellings with a majority of which are on parcels of land smaller than 1850 square metres, has a generally accepted boundary and name and contains parcels of land that are used for non-residential purposes. Hamlet is an unincorporated community that can be designated by the council of Municipal District or Specialized Municipality within their boundaries, or by the Minister of Municipal Affairs within the boundaries of an Improvement District. Locality is an unincorporated place or an area with scattered population. Townsite is a federally administered village. The boundaries of rural classification of Locality and Townsite are often undefined.
Hamlet Boundaries
The Hamlet dataset is comprised of all the polygons that represent Hamlets in Alberta. The formation of a Hamlet can occur if there are 5 or more buildings used as dwellings with a majority of which are on parcels of land smaller than 1850 square metres, has a generally accepted boundary and name and contains parcels of land that are used for non-residential purposes. Hamlet is an unincorporated community that can be designated by the council of Municipal District or Specialized Municipality within their boundaries, or by the Minister of Municipal Affairs within the boundaries of an Improvement District.
Significant areas of krill in the Estuary and Gulf of St. Lawrence
Krill is a generic name for crustaceans of the order Euphausiids, most of which are known to be Thysanoessa raschii and Meganyctiphanes norvegica in eastern Canada. Krill is an important food resource for many marine mammals, in particular the blue whale.The maps show the points of high krill concentration per month from April to November. Each point gives the number of years of high aggregation probability (6 to 10 years). The data were produced from a mathematical model developed in Plourde et al. 2016. The model has allowed to calculate the probability of meeting a strong aggregation of krill over a period of 10 years. High krill aggregations are defined as the 95th percentile of predicted biomass in 10 x 10 km cells covering the Estuary and Gulf of St. Lawrence.Additional Information:Plourde, S., Lehoux, C., McQuinn, I.H., and Lesage, V. (2016). Describing krill distribution in the western North Atlantic using statistical habitat models. DFO Can. Sci. Advis. Sec. Res. Doc. 2016/111. v + 34 p.McQuinn, I.H., Gosselin, J.-F., Bourassa, M.-N., Mosnier, A., St-Pierre, J.-F., Plourde, S., Lesage, V., Raymond, A. 2016. The spatial association of blue whales (Balaenoptera musculus) with krill patches (Thysanoessa spp. and Meganyctiphanes norvegica) in the estuary and northwestern Gulf of St. Lawrence. DFO Can. Sci. Advis. Sec. Res. Doc. 2016/104. iv + 19 p. The data are incomplete upstream of Pointe-des-Monts because of the lack of water height anomalies in the area (variable being used to predict aggregations of krill). A less number of years with a high aggregation of krill is thus represented but that should not be interpreted as a less favorable zone compared to areas East of Pointe-des-Monts.
Areas of Natural and Scientific Interest
The dataset identifies the location and types of Areas of Natural and Scientific Interest (ANSIs) that are commonly used in maps for resource management purposes. Official GEO title: ANSI
Profenusa thomsoni
Historical finds of Profenusa thomsoni
Specialized Municipality
The Specialized Municipality dataset is comprised of all the polygons that represent Specialized Municipalities in Alberta. Specialized Municipality is a type of municipality which does not meet the needs of the residents of a proposed municipality such as City, Municipal District, Town or Village. but formed to provide for a form of local government that will provide for the orderly development of the municipality or by any other reason that is appropriate in the circumstances. Specialized municipalities are unique municipal structures that can be formed without resorting to special Acts of the legislature. Often, specialized municipalities allow urban and rural communities to coexist in a single municipal government.
Freshwater Atlas - Islands
All island polygons. Islands may overlap as there are islands within islands (e.g., a lake on an island contains an island). GNIS_NAME_1 contains the most atomic name for the island. For example, there are 3797 "Haida Gwaii" islands. If the island has not been named as part of a more specific group or with an individual name, "Haida Gwaii" is the GNIS_NAME_1 value. GNIS_NAME_2 and GNIS_NAME_3 values are null. If the island has a more specific name, "Haida Gwaii" moves to GNIS_NAME_2, and the more atomic name, such as "Moresby Island" is the GNIS_NAME_1. If the island has an individual name, belongs to a group, and is part of Haida Gwaii, the same logic of naming from most to least specific applies. For example, GNIS_NAME_1 = "George Island", GNIS_NAME_2 = "Copper Islands", GNIS_NAME_3 = "Haida Gwaii".
Cratonic Elements
This map service provides access to the Cratonic Elements dataset shown on the GeoAtlas application.**Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule. This dataset shows the Cratonic Elements of the province of Saskatchewan at 1:1 million scale. This data was compiled using years of bedrock mapping, compiled into a file geodatabase feature class and output for public distribution.
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