Big Brothers Big Sisters provides children and youth with high quality, professionally supported volunteer mentoring programs. This includes the pairing of children and youth to adult role models who serve as a mentor and a friend to talk to and share the experiences of growing up with. Big Brothers Big Sisters also provides children and youth with opportunities to participate in group programs, both in school and outside of school.

Phytoplankton pigments, determined by high-performance liquid chromatography (HPLC) have been measured on DFO La Perouse cruises since 2011. Surface samples are taken along a series of transects off the west coast of Vancouver Island twice a year usually in May/June and early September.

In 2013, the Ontario Ministry of the Environment, Conservation and Parks initiated an integrated baseline environmental data collection program in the Ring of Fire region located in Ontario’s Far North. The program was designed to establish baseline or reference environmental conditions for this region of Ontario. The program was comprised of four main integrated components: - surface water (lakes and streams) monitoring (2013-2018) - peat pore water (groundwater) monitoring (2013-2018) - terrestrial (vegetation and soil) monitoring (2013-2018) - air monitoring (2015-2018) Data collection activities were generally located within 60 km of the Noront Resources/Cliffs Natural Resources mining exploration camp established near Koper Lake and within the Attawapiskat, Ekwan, and Winisk River watersheds. The baseline monitoring activities were integrated or co-located where possible to provide more comprehensive datasets on the dominant ecosystems for this part of Ontario.

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

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.

The porbeagle shark (Lamna nasus), 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 porbeagle sharks from 2005 to 2021 to collect data on depth (pressure), temperature and ambient light level (for position estimation). Deployments were conducted in Canada and the Faroe Islands on commercial, recreational and scientific charters, typically in summer and fall but some over winter when the porbeagle commercial fishery was active in Canada. A variety of tag models were deployed: PAT 4 (n=1), Mk10 (N=41), and MiniPAT (N=15) and 51 of 57 tags reported. One individual shark was recaptured and the physical tag was returned. The porbeagle sharks tagged ranged in size from 76 cm to 249 cm Fork Length (curved); 42 were female, 15 were male. Time at liberty ranged from 4 – 356 days and 14 tags remained on for the programmed duration. 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.

These data sets provide information pertaining to abundant taxa including bottom-dwelling shrimp and fish along trawling and trapping transects in Simoom Sound at November, 2000, and February, 2001. Data sets were compiled and formatted by Meagan Mak. Abstract from report: This study is a component of a larger project designed to compare the effects of shrimp trawling and trapping gear on shrimp, fish and the benthic habitat of Simoom Sound located in Broughton Archipelago, British Columbia, Canada. Otter-trawling, beam-trawling, and trapping took place in three distinct experiment blocks of the central seabed of the Sound. In turn, each block consisted of replicate transects, where a towed submersible video-camera surveyed shrimp and fish before and after trawling. Video surveys were deployed only before trapping. From the video surveys, we determined the abundance of common shrimp taxa and fish.

Location of the emptying site for recreational vehicles in Repentigny.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Seasonal and annual multi-model ensembles of projected change (also known as anomalies) in snow depth based on an ensemble of twenty-eight Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1900-2100. Projected change in snow depth is with respect to the reference period of 1986-2005 and expressed as a percentage (%). The 5th, 25th, 50th, 75th and 95th percentiles of the ensemble of snow depth change are available for the historical time period, 1900-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100. Twenty-year average changes in snow depth (%) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of CMIP5 climate models is provided. Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Soil Survey Project Boundaries (soil mapping study areas) contains the soil survey project area and attributes describing each project (project level metadata), plus links to the locations of other data associated with the project (e.g., soil survey reports, polygon datasets, plotfiles, scanned maps, legends). Soil Mapping divides the landscape into units according to soil association, name, type, drainage, parent material, and texture. This layer is derived from the STE_TEI_PROJECT_BOUNDARIES_SP layer by filtering on the PROJECT_TYPE attribute. Project types include: SOIL, TIMSOI, and SOILSW. Current version: v11 (published on 2024-10-03) Previous versions: v10 (published on 2023-11-14), v9 (published on 2023-03-01), v8 (published on 2016-09-01) The Soil Survey dataset contains project boundaries as well as the soil survey polygons which are available in a variety of formats including: 1) via the [Soil Information Finder Tool](http://www2.gov.bc.ca/gov/content/environment/air-land-water/land/soil-information-finder) Mapping App (interactive app), 2) [Soil Survey Spatial data](https://catalogue.data.gov.bc.ca/dataset/soil-survey-spatial-view) with [Soil Name and Layer Files](https://catalogue.data.gov.bc.ca/dataset/soil-name-and-layer-files) (for download or viewing via iMapBC), or as 3) [Soil Mapping Data Packages](http://www.env.gov.bc.ca/esd/distdata/ecosystems/Soil_Data/Soil_Data_Pkgs/) with geodatabase or shape files, and a data dictionary.