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We have found 23 datasets for the keyword "marqueur". You can continue exploring the search results in the list below.
Datasets: 105,255
Contributors: 42
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23 Datasets, Page 1 of 3
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
Development of a coastal species characterization approach using environmental DNA (eDNA) using the marker Mifish (12S)
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 fish and marine mammal species whose DNA has been detected in water samples collected between 2019 and 2021 using the mitochondrial marker MiFish (12S).The surveys were carried out in the summer of 2019 (July 14-18) and (July 30 - August 5), in the fall of 2020 (October 27-28) and in the summer-fall of 2021 (May 31 - June 3 ) and (August 24-25) between Forestville and Godbout (Haute-Côte-Nord). Sampling was carried out between 1-50 meters depth in 91 stations, with 1 to 3 replicates per station. Two liters of water were filtered through a 1.2 µm fiberglass filter. DNA extractions were performed with the DNeasy Blood and Tissues or PowerWater extraction kit (Qiagen). Negative field, extraction and PCR controls were added at the different stages of the protocol. The libraries were prepared either by Génome Québec (2019, 2020) or by the Genomics Laboratory of the Maurice-Lamontagne Institute (2021), then sequenced on a NovaSeq 4000 PE250 system by Génome Québec. The bioinformatics analysis of the sequences obtained was carried out using an analysis pipeline developed in the genomics laboratory. A first step made it possible to obtain a table of molecular operational taxonomic units (MOTU) using the cutadapt software for the removal of the adapters and the R package DADA2 for the filtration, the fusion, removal of chimeras and compilation of data. The MOTUs table was then corrected using the R package metabaR to eliminate the tag-jumping and take contaminants into consideration. Samples showing a strong presence of contaminating MOTUs were removed from the dataset. The MOTUs were also filtered to remove all remaining adapter sequences and also retain only those of the expected size (around 170 bp). Finally, taxonomic assignments were made on the MOTUs using the BLAST+ program and the NCBI-nt database. Taxonomic levels (species, genus or family) were assigned using a best match method (Top hit), with a threshold of 95%. Only assignments at the level of fish and marine mammals were considered, and the taxa detected were compared to a list of regional species, and corrected if necessary. The species detections of the different replicas have been combined.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 were also published on SLGO platform : https://doi.org/10.26071/ogsl-2239bca5-c24a
TANTALIS - Crown Land Revenue Sharing Agreements
TA_CROWN_REV_SHARE_AGRMNTS_SVW contains the spatial representation (polygon) of active and applied for Crown Land Revenue Sharing Agreements. A Revenue Sharing Agreement is made between the crown and one or more parties to share revenue. The view was created to provide a simplified presentation of this single tenure type from the disposition information in the Tantalis operational system. The same content could be derived from the TA_CROWN_TENURES_SVW by filtering to this tenure type only. It’s possible that this dataset may contain few or no records, depending on the current number of active tenures or applications.
NCC Capital Pathway - Ideal Network
To identify the overall reach and configuration of the Capital Pathway, show the location of existing pathways (as of 2020) and proposed pathway segments, and distinguish between discovery routes and feeder links.Capital Pathway Strategic Plan, October 2020 https://ncc-website-2.s3.amazonaws.com/documents/Pathways-BOOK-10-15-2020-EN_Final_Compressed.pdf
Settlement
The Settlement dataset is comprised of all the polygons that represent Settlements in Alberta. A settlement is an area of land that was surveyed prior to the Third System of Survey and does not normally follow the ATS grid.
MASCOT Geodetic Control Monuments
Mascot geodetic control monuments for BC. Geodetic Control Monuments are a network of interconnected markers in the ground which have accurately determined coordinates, and/or elevations. They are fixed points on which to spatially reference surveys, mapping, aerial and satellite imaging, etc
Oil and Gas Pipeline Installation Permits
Pipeline installations associated with an oil and gas pipeline activity. Installations include such features as flare stacks, generators, line heaters, pumps, risers, tanks and valves. This dataset contains point features collected on or after July 11, 2016 for approved installation locations. This dataset is updated nightly.
Oil and Gas Request for Postings - 50k
Represent the competitive Yukon Oil and Gas Rights disposition process governed by the Yukon's Oil and Gas Act and administered by Government of Yukon. The disposition process has been designed so that the oil and gas industry is able to request locations for which they intend to submit bids. Request for Posting (RFP) - an expression of interest from industry to acquire oil and gas rights in a specific location. For more information visit https://yukon.ca/en/doing-business/licensing/apply-oil-and-gas-rights#disposition-overviewDistributed 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)
Oil and Gas Road Right of Way Permits
Land authorizations representing the road right of way for road activities. The spatial data includes polygon data for approved and post-construction road rights of way collected on or after October 30, 2006. This dataset is updated nightly.
Agriculture land dispositions
Land under administration and control of Government of Yukon, Department of Energy, Mines and Resources (EMR), Agriculture Branch. Includes all dispositions of agricultural land: Agreement for Sale: A contract between two or more parties to sell and purchase land. The contract identifies conditions and terms of the transaction. Lease: A special contract between a property owner (landlord) and a person wanting temporary enjoyment and use of the property (tenant) in exchange for rent paid to the property owner. Reservation (or Reserve): Usually sets aside land for the purpose of agricultural land planning. A reservation does not give tenure to the land and is not considered a disposition of land.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)
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