Hospitals and other health care facilities in BC that provide 24-hour diagnostic and treatment services for people who have acute, life-threatening injuries or severe illnesses. Definition is protected by Copyright by Information and Referral Federal of Los Angeles County, Inc (https://211taxonomy.org/subscriptions/#agreement)

A Fisheries Sensitive Watershed (FSW) is a mapped area with specific management objectives intended to guide development activities which may adversely impact important fish values . FSWs within this set of data are currently in the review and consultation stage of the area designation process. As FSWs are designated they will be moved into the [Approved Fisheries Sensitive Watersheds](http://catalogue.data.gov.bc.ca/dataset/fisheries-sensitive-watersheds) dataset and thus often this dataset is empty.

Description:Spatial information on the distribution of juvenile Pacific salmon is needed to support Marine Spatial Planning in the Pacific Region of Canada. Here we provide spatial estimates of the distribution of juvenile fish in the Strait of Georgia for all five species of Pacific salmon. These estimates were generated using a spatiotemporal generalized linear model and are based on standardized fishery-independent survey data from the Strait of Georgia mid-water juvenile salmon mid-water trawl survey from 2010 to 2020. We provide predicted catch per unit effort (CPUE), year-to-year variation in CPUE, and prediction uncertainty for both summer (June–July) and fall (September–October) at a 0.5 km resolution, covering the majority of the strait. These results show that the surface 75 m of the entire Strait of Georgia is habitat for juvenile salmon from June through early October, but that distributions within the strait differ across species and across seasons. While there is interannual variability in abundances and distributions, our analysis identifies areas that have consistently high abundances across years. The results from this study illustrate juvenile habitat use in the Strait of Georgia for the five species of Pacific salmon and can support ongoing marine spatial planning initiatives in the Pacific region of Canada.Methods:Juvenile Salmon Survey DataThis analysis is based on surveys conducted between 2010 and 2020. Sets that lasted between 12 and 50 minutes and at depths less than or equal to 60 m (head rope depth) were included. The resulting survey dataset consists of 1588 sets. The analysis included all five species of Pacific salmon. For pink salmon, only even year surveys were included as they have a two-year life cycle and are effectively absent from the Strait in odd years.Geostatistical model of salmon abundance and PredictionsWe estimated the spatial distribution and abundance of each species of Pacific Salmon using geostatistical models fit with sdmTMB (Anderson et al. 2022). For each species, we modelled the number of individuals caught in a set, at a location and time using a negative binomial observation model with a log link. Predictions were made for each survey season (summer and fall) in each year from 2010 to 2020 over a 500 m by 500 m grid based on a 3 km buffer around the outer concave hull of the trawl coordinates. The concave hull was calculated using the ‘sf_concave_hull’ function from the sf package using a concavity ratio of 0.3, and excluding holes. Predictions were made as catch per unit effort (CPUE, for 60 minutes) for tows conducted in the surface waters (i.e., head rope at 0 m). Continuous estimates are provided at a 0.5 km resolution throughout the Strait of Georgia. These estimates consist of 1) mean catch per unit effort (CPUE), 2) year-to-year coefficient of variation (CV) of CPUE as a measure of the temporal variability, 3) binned biscale measures of mean vs. CV of CPUE to distinguish areas where abundance is consistently high vs. areas where it is high on average, but with high year-to-year variability, and 4) mean standard error in CPUE as a measure of uncertainty.See Thompson and Neville for full method details.Uncertainties:Although the models had relatively low uncertainty and the estimated spatial patterns reflected the spatial and temporal variation in CPUE in the surveys, it is important to understand the limitations of these model predictions. Because juvenile salmon are often aggregated, there is high variability in the CPUE in the survey data. Our model predictions represent the geometric mean CPUE and so are an average expectation, but do not reproduce the high inter-tow variability that is present in the survey data. Spatially, our predictions have low uncertainty in areas that are central within the standard survey track line. However, uncertainty is higher on the margins of the survey area, where there are fewer sets to inform those predictions.Data Sources:Juvenile salmon survey database from Salmon Marine Interactions Program, REEFF, ESD, Pacific Biological Station.Data is also available through Canadian Data Report of Fisheries and Aquatic Sciences publications.

Polygons of evaluation units of the graphic matrix.**Collection context** Update process in collaboration with the evaluation department.**Collection method** Computer-aided mapping.**Attributes*** `ID` (`integer`): Identifier* `ADM01A` (`varchar`): Municipality code* `SI0318A` (`smalldatetime`): Registration date* `SI0317C` (`varchar`): Registration* `SI0528C` (`varchar`): Neighborhood unit* `DATE_CREATION` (`smalldatetime`): Created on* `DATE_MODIFICATION` (`smalldatetime`): Modified on* `USER_MODIFICATION` (`varchar`): Modified by* `X_FIC_JOINT` (`varchar`): Attached file* `ID_OLD` (`varchar`): Old idFor 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).**

The Fieldnotes dataset represents the anticipated locations of DFO Science field operations for 2020-2021 in the North Pacific and Arctic oceans, as well as in the coastal and interior waters of British Columbia and the Yukon.

The Open Database of Healthcare Facilities (ODHF) is a collection of open data containing the names, types, and locations of health facilities across Canada. It is released under the Open Government License - Canada.The ODHF compiles open, publicly available, and directly-provided data on health facilities across Canada. Data sources include regional health authorities, provincial, territorial and municipal governments, and public health and professional healthcare bodies. This database aims to provide enhanced access to a harmonized listing of health facilities across Canada by making them available as open data. This database is a component of the Linkable Open Data Environment (LODE).

The Canada Flood Map inventory shows areas in Canada where a copy of a flood hazard map has been collected by Natural Resources Canada (NRCan). The inventory does not display flood zones or extents, but provides information on how to access these flood hazard maps. Depending on the license and availability status to the public, there may be links for download, along with reference information to the original source and/or data owner. NRCan collaborates with provincial and territorial governments to gather flood hazard maps from provinces, territories, municipalities, and other agencies responsible for flood mapping. The inventory is regularly updated to improve its completeness and accuracy. Disclaimer: The Canada Flood Map (CFM) does not include every flood hazard map in Canada and may be incomplete or contain inaccuracies. It should not be relied upon as the official source of flood mapping information. Furthermore, if a map appears to be missing, this does not necessarily mean that the area has never been mapped. For the official version of a map, updated information, or confirmation of applicable regulations, please contact the local authority responsible for flood mapping.Note: Data and maps in the Inventory can be made available upon request to federal and contributing partners.

The Sentinel mirror is maintained by the Government of Canada through the Copernicus collaborative ground segment program as well as EUMETSAT. Data is made available as quickly as possible based on Canada coverage availability at the source. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The Sentinel mirror is maintained by the Government of Canada through the Copernicus collaborative ground segment program as well as EUMETSAT. Data is made available as quickly as possible based on Canada coverage availability at the source. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The Sentinel mirror is maintained by the Government of Canada through the Copernicus collaborative ground segment program as well as EUMETSAT. Data is made available as quickly as possible based on Canada coverage availability at the source. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**