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We have found 55 datasets for the keyword "métabarcoding". You can continue exploring the search results in the list below.
Datasets: 104,195
Contributors: 42
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55 Datasets, Page 1 of 6
Archaeology Borden Grid
Polygon layer containing an archaeological reference grid established by Charles Borden. Similar to the BCGS grid or TRIM grid system. All archaeological sites in Canada are numbered based on this grid
Recreation Sites Subset - Information Purposes Only
This data set contains a small sub-set of the WHSE_FOREST_TENURE.FTEN_RECREATION_POLY_SVW layer, in point form, with minimal attribution for the purpose of displaying a select set of high value recreation sites. For access to complete listing of Forest Recreation sites please use [Recreation Polygons WHSE_FOREST_TENURE.FTEN_RECREATION_POLY_SVW](http://catalogue.data.gov.bc.ca/dataset/263338a7-93ee-49c1-83e8-13f0bde70833)
Forest Tenure Map Notation Line
This is a spatial layer showing Ministry of Forests Map Notation Lines. These are the linear spatial representation for a notation on the Forest Atlas which records the area of interest of other government agencies and individuals
Forest Tenure Map Notation Polygon
This is a spatial layer showing Ministry of Forests Map Notation Polygons. These are polygonal spatial representation for a notation on the Forest Atlas which records the area of interest of other government agencies and individuals
Parking boxes
Public parking spaces in downtown Sherbrooke.attributes:Location - Location of the parking spaceName - Name of the parkingNumber - Number of the parking meterType - Type of parkingLevel - Level of the parking spaceLevel - Level of the parking space**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
buildings
Buildings located on the territory of the City of Sherbrooke and belonging to one of the following categories: business, hospital, school or municipal building. These categories are respectively associated with subtype codes 2, 3, 4, and 5 attributes:ID - Unique IdentifierSubtype - Building Subtype Code (2 - Business, 3 - Hospital, 4 - Hospital, 4 - School, 4 - School, 5 - Municipal Building)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Moose Conservation Closures 2022
The purpose of this dataset is to give an accurate representation of the boundaries of lands closed to hunting in Manitoba.The purpose of this dataset is to give an accurate representation of the boundaries of lands closed to hunting in Manitoba. These are defined as lands where hunting and trapping are either prohibited, or special restrictions are in place for certain species and areas are defined within the General Hunting Regulation (351/87), Moose Conservation Closure Regulation (122/2011), Hunting Seasons and Bag Limits Regulation (165/91), and Trapping of Wild Animals Regulation (245/90) of The Wildlife Act (C.C.S.M c. W130). Hunting and trapping prohibitions or restrictions are implemented in certain areas to ensure the conservation of species or enhance public safety. Fields included (Alias (Field Name): Field description) FID (OBJECTID): Sequential unique whole numbers that are automatically generated Id (Id): The number assigned to each restricted area (not currently being used) Name (Name): Name given to the restricted area Restrictions (Restrictions): Description of the restriction applied to the restricted area Director of Surveys Plan (D_of_S): Director of Surveys Plan number which pertains to the boundary of the restricted area Regulation (Regulation): The regulation title defined in The Wildlife Act Shape_Area (Shape_Area): Area of the feature in internal units squared Shape_Length (Shape_Length): Length of the feature in internal units
Places administered by Parks Canada
The purpose of this feature class is to show areas that are National Parks (NPs), National Park Reserves (NPRs) and National Marine Conservation Area (NMCAs). Parks Canada manages more than 43 NPs. (See: https://parks.canada.ca/voyage-travel/recherche-tous-parks-all) for a list of PCA administered parks.By using this data, it is important to understand and accept that the data is not to be used for defining boundaries. Administrative decisions should be based on legal documents and legal survey plans.Canada Lands Surveys: https://clss.nrcan-rncan.gc.ca/clss/plan/search-recherche
Land Cover - 50k - Canvec
Land Features entities are: Island, Shoreline, Wooded Area, Saturated soil, Landform Feature (esker, sand\...), and Cut Line. CanVec is a digital cartographic reference product of Natural Resources Canada (NRCan). It originates from the best available data sources covering Canadian territory, offers quality topographical information in vector format, and complies with international geomatics standards. CanVec is a multi-source product coming mainly from the National Topographic Data Base (NTDB), the Mapping the North process conducted by the Canada Center for Mapping and Earth Observation (CCMEO), the Atlas of Canada data, the GeoBase initiative, and the data update using satellite imagery coverage (e.g. Landsat 7, Spot, Radarsat, etc.).Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)
Development of a coastal species characterization approach using environmental DNA (eDNA) using the marker COI
Species characterization by environmental DNA (eDNA) is a method that allows the use of DNA released into the environment by organisms from various sources (secretions, faeces, gametes, tissues, etc.). It is a complementary tool to standard sampling methods for the identification of biodiversity. This project provides a list of invertebrates species whose DNA has been detected in water samples collected at 2018 using the marker COI.The surveys were carried out in the summer of 2018 from August 11 to 14, between Forestville and Godbout (Haute-Côte-Nord). Sampling was carried out between 9-52 meters depth in 40 stations with one sample par station. Two liters of water were filtered through a 1.2 µm fiberglass filter. DNA extractions were performed with the DNeasy Blood and Tissue extraction kit (Qiagen). Negative field, extraction and PCR controls were added at the different stages of the protocol. Libraries at the COI locus were prepared by Genome Quebec and sequenced on an Illumina MiSeq PE250 system. The bioinformatics analysis of the sequences obtained was carried out using an in-house analysis pipeline as reported in Bourret et al. 2022. A first step made it possible to obtain a molecular operational taxonomic unit table (MOTU) using the cutadapt software for the removal of the adapters and the DADA2 R package for the filtration, fusion, chimera removal and data compilation. The MOTUs table was subsequently corrected by taking into account the negative controls, where the number of observations in the latter was removed from the linked samples. Singleton MOTUs have also been removed. Finally, the taxonomic assignments were carried out on the MOTUs using the IDTAXA classifier (present in the DECIPHIER R package) using a training set trained on the COI reference bank for Golf St-Laurent (GSL-rl v1.0, https://github.com/GenomicsMLI-DFO/MLI_GSL-rl) and a threshold of 40. Detections with an “Unreliable due to gaps” category were reported at the genus level only.The file provided includes generic activity information, including site, station name, date, marker type, assignment types used for taxa identification, and a list of taxa or species. The list of taxa has been verified by a biodiversity expert from the Maurice-Lamontagne Institute.This project was funded by Fisheries and Oceans Canada's Coastal Environmental Baseline Data Program under the Oceans Protection Plan. This initiative aims to acquire baseline environmental data that contributes to the characterization of significant coastal areas and supports evidence-based assessments and management decisions to preserve marine ecosystems.Data are also available on SLGO platform : https://doi.org/10.26071/ogsl-cd4c205b-f63b
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