cl_maintenanceAndUpdateFrequency

RI_540

2416 record(s)
 
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    There are several species of moths whose caterpillars are significant pests on agricultural crops. While there are natural predators, some are unwilling hosts for parasites. Some parasitoid wasp species contribute to biological control of these caterpillar pests by laying eggs inside live caterpillars. Dataset Type: Occurrence Specimen Type: Preserved specimens

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    Exo makes its data on schedules and planned routes available in the standardized *General Transit Feed Specification* (GTFS) format.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    The white shark (Carcharodon carcharias), is a species found in Atlantic Canadian waters which is encountered in commercial and recreational fisheries. Pop-up Satellite Archival Tags (PSAT) from Wildlife Computers were applied to white sharks from 2016 to the present to collect data on depth (pressure), temperature and ambient light level (for position estimation). Deployments were conducted in Canada and the United States (Cape Cod and South Carolina) on scientific charters, typically in summer. Tag models deployed included: Mk10 (N=1), and MiniPAT (N=29) and 22 of 27 tags reported with 3 still at liberty. One individual shark returned to the location of tagging 1 year later and the physical tag was recovered. Another tag was recovered 5 years after deployment. White sharks tagged ranged in size from 259 cm to 459 cm Total Length (curved) estimated; 15 were female, 13 were male, and 2 were of unknown sex. Time at liberty ranged from 48 – 377 days and to date, only 3 tags remained on the shark for the programmed duration. Tagging of white sharks is an ongoing study and data will be updated here when it becomes available. 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 deployments can be obtained upon request from: warren.joyce@dfo-mpo.gc.ca or heather.bowlby@dfo-mpo.gc.ca.

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    Exo makes its data on schedules and planned routes available in the standardized *General Transit Feed Specification* (GTFS) format.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    Delimitation of the permanent agricultural zone and agricultural inclusions, as illustrated in “Map 2-26: Permanent agricultural zone and agricultural inclusions” of the revised land use and development plan of the City of Laval**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    Quad biking trails in Saguenay**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    The spatial record for all the province's geographic areas affected by provincial level, area-specific land use policy. This layer may contain geometry from the: * provincial parks-regulated layer * conservation reserves-regulated layer * natural heritage values area layer *  wilderness areas layer * crown land MNR acquisitions layer * crown land MNR unpatented layer * CLUPA geometry (enhanced management areas and general use areas) layer Not to be used as a source of protected areas (provincial park, conservation reserve, etc.), crown land or private land boundaries. Official GEO title: CLUPA Provincial

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    Expected limit of urban expansion on the territory of the City of Sherbrooke.attribut:ID - Unique identifier**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Air quality indicators track ambient concentrations of fine particulate matter, ground-level ozone, sulphur dioxide, nitrogen dioxide, and volatile organic compounds at the national, regional and urban levels and at local monitoring stations. The national and regional indicators are presented with their corresponding Canadian Ambient Air Quality Standard when available. Canadians are exposed to air pollutants on a daily basis, and this exposure can cause adverse health and environmental effects. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated. Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

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    __LiDAR__ (__Li__ght __D__etection __A__nd __R__anging) is a modern survey method that produces three-dimensional spatial information in the form of a data point cloud. LiDAR is an active remote sensing system; it produces its own energy to acquire information, versus passive systems, like cameras, that only receive energy. LiDAR systems are made up of a scanner, which is a laser transmitter and receiver; a GNSS (GPS) receiver; and an inertial navigation system (INS). These instruments are mounted to an aircraft. The laser scanner transmits near-infrared light to the ground. The light reflects off the ground and returns to the scanner. The scanner measures the time interval and intensity of the reflected signals. This information is integrated with the positional information provided by the GNSS and INS to create a three-dimensional point cloud representing the surface. A LiDAR system can record millions of points per second, resulting in high spatial resolution, which allows for differentiation of many fine terrain features. Point clouds collected with LiDAR can be used to create three-dimensional representations of the Earth’s surface, such as Digital Elevation Models (DEMs) and Digital Surface Models (DSMs). DEMs model the elevation of the ground without objects on the surface, and DSMs model ground elevations as well as surface objects such as trees and buildings. LidarBC's **Open LiDAR Data Portal** (see link under Resources) is an initiative to provide **open** public access to LiDAR and associated datasets collected by the Government of British Columbia. The data in the portal is released as Open Data under the [**Open Government Licence – British Columbia**](https://www2.gov.bc.ca/gov/content/data/open-data/open-government-licence-bc) (OGL-BC). Four Government of British Columbia business areas and one department of the Government of Canada make LiDAR data available through the portal: * [**GeoBC**](https://www2.gov.bc.ca/gov/content/data/about-data-management/geobc) * [**Emergency Management and Climate Readiness**](https://www2.gov.bc.ca/gov/content/safety/emergency-management) (EMCR) * [**BC Timber Sales**](https://www2.gov.bc.ca/gov/content/industry/forestry/bc-timber-sales) (BCTS) * [**Forest Analysis and Inventory Branch**](https://www2.gov.bc.ca/gov/content/industry/forestry/managing-our-forest-resources/forest-inventory) (FAIB) * [**Natural Resources Canada**](https://www.nrcan.gc.ca/home) (NRCan) GeoBC is the provincial branch that oversees and manages LidarBC’s Open LiDAR Data Portal, including storage, distribution, maintenance, and updates. Please direct questions to **LiDAR@gov.bc.ca**.