RI_542
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Buffer zone of 300 meters around the railways present on the territory of the city. Used in public safety analyses. **Collection context** Derived from the layer of railways in the territory of the city of Saint-Hyacinthe. **Collection method** Buffer zone of 300 meters. Spatial analysis. **Attributes** * `Id` (`long`): Identifier For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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1 kilometer buffer zone around railway stations and rail yard areas. **Collection context** Buffer zone of 1000 meters. **Collection method** Applying a stamp using geoprocessing. **Attributes** * `Id` (`long`): Identifier * `BUFF_DIST` (`double`): Distance * `ORIG_FID` (`long`): FID For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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This dataset includes metrics of eelgrass size, cover, and biomass from field sites along the Atlantic coast of Nova Scotia, Canada. Field sites were located across a gradient of environmental conditions, and field sampling was conducted in July to August 2022. Eelgrass percent cover, shoot density, and plants were sampled at 10 haphazardly distributed sampling stations within each eelgrass bed at approximately the same depth. Stations were ~10m apart and at least 2m from any eelgrass-bare interface. At each sampling station eelgrass leaves in a 0.5 x 0.5m quadrat were photographed for later computer image analysis to determine percent cover. The number of shoots were then counted in a 0.25 x 0.25m quadrat, and 3 vegetative shoots were collected. Shoots were measured for leaf length, width, and weight in the laboratory. These data were used to determine allometric and cover-biomass relationships for use in non-destructive estimation of bed biomass. Cite this data as: Wong, M.C., & Thomson, J. A. Data of eelgrass (Zostera marina) plant size (length, width), cover, and biomass from the Atlantic Coast of Nova Scotia. Published: February 2025. Coastal Ecosystems Science Division, Maritimes Region, Fisheries and Oceans Canada, Dartmouth NS. For additional information please see: Thomson, J. A., Vercaemer, B., & Wong, M. C. (2025). Non-destructive biomass estimation for eelgrass (Zostera marina): Allometric and percent cover-biomass relationships vary with environmental conditions. Aquatic Botany, 198, 103853. https://doi.org/10.1016/j.aquabot.2024.103853
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Towfish (sidescan and video) and echo sounder surveys were utilized to examine bottom type and macrophyte cover within the area of two coastal marine finfish aquaculture sites, one in New Brunswick (Welch Cove) and one in Nova Scotia (Jordan Bay). Both towfish and echo sounder data could be used independently of one another. However, the towfish data were very useful for ground truthing echo sounder based classifications. All survey data were placed into a GIS which could be used to answer management questions such as the placement of cages at sites, benthic impacts and baseline conditions to determine long term changes. Cite this data as: Vandermeulen H. Data of: Exploratory Video-Sidescan and Echosounder Survey of Jordan Bay. Published: March 2019. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/752d277f-8b3e-40c7-b99d-cfa67e69d975
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Point layer of public parking lots on the territory of the city of Shawinigan. ! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg) **Collection method** Location at the corresponding address **Attributes** * `objectid` (`integer`): * `number` (`char`): Number * `name` (`char`): Name * `location` (`char`): Location * `nb_place_24_hrs` (`integer`): Number of seats 24 hours * `disabled` (`char`): Disabled * `vignette` (`char`): Thumbnail * `regulation` (`char`): Regulation * `terminal_electric` (`char`): Electrical terminal * `nb_place_2_hrs` (`integer`): Number of seats 2h * `recommende_velo` (`char`): Bike stop * `type_parking` (`char`): Parking type * `nb_place_totale` (`char`): Total number of seats * `internal rules` (`char`): Internal regulations * `snow` (`char`): Cleared of snow For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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Linear layer of the bicycle network of the City of Shawinigan. ! [Shawinigan logo] (https://jmap.shawinigan.ca/doc/photos/LogoShawinigan.jpg) **Collection method** Digitization from orthophotography **Attributes** * `objectid` (`integer`): * `type` (`char`): Type * `surface` (`char`): Surface * `status` (`char`): Status * `length` (`double`): Length * `st_length (shape) `(`double`): Length * `annee_resurfacage` (`char`): Resurfacing year * `velobouclemauricie` (`char`): Veloloop Mauricie * `greenroute` (`char`): Green road For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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Emerald Basin on the Scotian Shelf off Nova Scotia, Canada, is home to a globally unique aggregation of the glass sponge Vazella pourtalesi, first documented in the region in 1889. In 2009, Fisheries and Oceans Canada (DFO) implemented two Sponge Conservation Areas to protect these sponge grounds from bottom fishing activities. Together, the two conservation areas encompass 259 km2. In order to ascertain the degree to which the sponge grounds remain unprotected, we modelled the presence probability and predicted range distribution of V. pourtalesi on the Scotian Shelf using random forest modelling on presence-absence records. With a high degree of accuracy the random forest model predicted the highest probability of occurrence of V. pourtalesi in the inner basins on the central Scotian Shelf, with lower probabilities at the shelf break and in the Fundian and Northeast Channels. Bottom temperature was the most important determinant of its distribution in the model. Although the two DFO Sponge Conservation Areas protect some of the more significant concentrations of V. pourtalesi, much of its predicted distribution remains unprotected (over 99%). Examination of the hydrographic conditions in Emerald Basin revealed that the V. pourtalesi sponge grounds are associated with a warmer and more saline water mass compared to the surrounding shelf. Reconstruction of historical bottom temperature and salinity in Emerald Basin revealed strong multi-decadal variability, with average bottom temperatures varying by 8˚C. We show that this species has persisted in the face of this climatic variability, possibly indicating how it will respond to future climate change. Cite this data as: Beazley, Lindsay ; Wang, Zeliang ; Kenchington, Ellen ; Yashayaev, Igor ; Rapp Tore, Hans ; Xavier, Joana R. ; Murillo, Francisco Javier ; Fenton, Derek ; Fuller, Susanna(2023). Predicted distribution of the glass sponge Vazella pourtalesi on the Scotian Shelf and its persistence in the face of climatic variability. Published April 2023. Ocean Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/326bfc06-4b48-408f-9a74-1e118665e7b0
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The basking shark (Cetorhinus maximus), is a species found in Atlantic Canadian waters which is mostly encountered “basking” on the surface waters and sometimes caught accidentally in commercial fisheries. One Pop-up Satellite Archival Tag (PSAT Mk10) from Wildlife Computers was applied to a single female basking shark in September 2008 on a commercial vessel to collect data on depth (pressure), temperature and ambient light level (for position estimation). The basking shark was 610 cm Total Length (curved). The tag released on the pre-programmed date 125 days after deployment. Raw data transmitted from the PSAT’s after release was processed through Wildlife Computers software (GPE3) to get summary files, assuming a maximum swimming speed of 2m/s, NOAA OI SST V2 High Resolution data set for SST reference and ETOPO1-Bedrock dataset for bathymetry reference. The maximum likelihood position estimates are available in .csv and .kmz format and depth and temperature profiles are also in .csv format. Other tag outputs as well as metadata from the deployment can be obtained upon request from: warren.joyce@dfo-mpo.gc.ca or heather.bowlby@dfo-mpo.gc.ca.
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The National Ecological Framework for Canada's "Land and Water Area by Province/Territory and Ecoregion” dataset provides land and water area values by province or territory for the Ecoregion framework polygon, in hectares. It includes codes and their English and French descriptions for a polygon’s province or territory, total area, land-only area and large water body area.
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Canadian nesting zones are broad, general areas, corresponding roughly to Bird Conservation Regions (version 2014. updates have been made in 2022) https://www.canada.ca/en/environment-climate-change/services/avoiding-harm-migratory-birds/general-nesting-periods/nesting-periods.html The limits of nesting zones reflect: - variations in species diversity - variations in mean annual temperature - similarities in the nesting periods within and between zones Changes in the nesting period between adjacent nesting zones occur as a gradient. When working near the boundary of a zone, you should also consider the nesting period of the adjacent zone.. More detail technical information are available here: https://publications.gc.ca/site/eng/9.843362/publication.html Warning: This technical information on timing of nesting migratory birds are published by EC to support the planning of activities in order to reduce the risk of detrimental effects to migratory birds, their nests and eggs. This technical information constitutes advice only. This information does not provide an authorization for harming or killing migratory birds or for the disturbance, destruction or taking of nests or eggs as prohibited under the MBR. This information does not provide a guarantee that the activities will avoid contravening the MBR or other laws and regulations. This is general information not intended to be relied on as official advice concerning the legal consequences of any specific activity. It is not a substitute for the MBCA, the MBR, or any other legislation. It is the responsibility of individuals and companies to assess their risk with regards to migratory birds and design relevant avoidance and mitigation measures.
Arctic SDI catalogue