This legacy Web Map Services will no longer be maintained on an ongoing basis as of December 31, 2015. It will be removed from operations as of March 31, 2016. To see the latest in DataBC WMS services please go to http://openmaps.gov.bc.ca.

Herring Permanent Spawn Transects (geodatabase) - used for herring spawn survey program and spatial analysis/presentation of spawn data from Herring Stock Assessment Database (including creation of spawn polygons).

Herring Section shapefile - used for spatial analysis/presentation of data from Herring Stock Assessment Database.

These commercial whale watching data are comprised of two datasets. First, the ‘whale_watching_trips_jun_sep_british_columbia’ data layer summarizes commercial whale watching trips that took place in 2019, 2020 and 2021 during the summer months (June to September). The second data layer, ‘wildlife_viewing_events_jun_sep_british_columbia’ contains estimated wildlife viewing events carried out by commercial whale watching vessels for the same years (2019, 2020 and 2021) and months (June to September). Commercial whale watching trips and wildlife viewing events are summarized using the same grid, and they can be related using the unique cell identifier field ‘cell_id’. The bulk of this work was carried out at University of Victoria and was funded by the Marine Environmental Observation, Prediction and Response (MEOPAR) Network under the ‘Whale watching AIS Vessel movement Evaluation’ or WAVE project (2018 – 2022). The aim of the WAVE project was to increase the understanding of whale watching activities in Canada’s Pacific region using vessel traffic data derived from AIS (Automatic Identification System). The work was finalized by DFO Science in the Pacific Region. These spatial data products of commercial whale watching operations can be used to inform Marine Spatial Planning, conservation planning activities, and threat assessments involving vessel activities in British Columbia.

This legacy Web Map Services will no longer be maintained on an ongoing basis as of December 31, 2015. It will be removed from operations as of March 31, 2016. To see the latest in DataBC WMS services please go to http://openmaps.gov.bc.ca.

This legacy Web Map Services will no longer be maintained on an ongoing basis as of December 31, 2015. It will be removed from operations as of March 31, 2016. To see the latest in DataBC WMS services please go to http://openmaps.gov.bc.ca.

The __Sechelt Indian Government District__ contains legally defined areas of land within the Province of British Columbia over which the Sechelt Indian Band exercises self-government, including the administration of resources and services available to its members, as described in the Sechelt Indian Band Self-Government Act of 1986. This spatial layer contains multipart features. The source data for the geometry of the parcels was the federal "GeoBase - Aboriginal Lands" dataset, available under OGL - Canada. Parcels were adjusted to match provincial base mapping features, following the metes and bounds descriptions in the Letters Patent. A polygon dataset that includes all of the administrative areas currently in the __Administrative Boundaries Management System (ABMS)__ is available [here](https://catalogue.data.gov.bc.ca/dataset/legally-defined-administrative-areas-of-bc). A complimentary point dataset that defines the administrative areas is also available [here](https://catalogue.data.gov.bc.ca/dataset/legally-defined-administrative-areas-of-bc-boundary-locations). The SECHELT INDIAN GOVERNMENT DISTRICT ENABLING ACT, [RSBC 1996] CHAPTER 416 is available [here.](http://www.bclaws.ca/civix/document/id/complete/statreg/96416_01) Other individual datasets are available from the following records: https://catalogue.data.gov.bc.ca/dataset/province-of-british-columbia-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/municipalities-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/regional-districts-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/electoral-areas-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/islands-trust-legally-defined-administrative-areas-of-bc https://catalogue.data.gov.bc.ca/dataset/local-trust-areas-legally-defined-administrative-areas-of-bc

This legacy Web Map Services will no longer be maintained on an ongoing basis as of December 31, 2015. It will be removed from operations as of March 31, 2016. To see the latest in DataBC WMS services please go to http://openmaps.gov.bc.ca.

Description: Seasonal sigma-t climatology of the Northeast Pacific Ocean was computed from historical observations including all available conductivity-temperature-depth (CTD), bottle, expendable bathy-thermograph (XBT), and Argo data in NOAA (http://www.argo.ucsd.edu/), Marine Environmental Data Service (MEDS), and Institute of Ocean Sciences archives over 1980 to 2010 period. Methods: Calculations, including smooth and interpolation, were carried out in sixty-five subregions and up to fifty-two vertical levels from surface to 5000m. Seasonal averages were computed as the median of yearly seasonal values. Spring months were defined as April to June, summer months were defined as July to September, fall months were defined as October to December, and winter months were defined as January to March. The data available here contain raster layers of seasonal sigma-t climatology for the Canadian Pacific Exclusive Economic Zone (EEZ), a subset of seasonal climatology of the Northeast Pacific Ocean, in high spatial resolution of 1/300 degree. References: Foreman, M. G. G., W. R. Crawford, J. Y. Cherniawsky, and J. Galbraith (2008). Dynamic ocean topography for the northeast Pacific and its continental margins, Geophys. Res. Lett., 35, L22606, doi: 10.1029/2008GL035152 Data Sources: NOAA, MEDS and IOS observational data Uncertainties: Uncertainties are introduced when quality controlled observational data are spatially interpolated to varying distances from the observation point. Climatological averages are calculated from these interpolated values.