The data represents the frost-free period in Alberta over the 30-year period from 1971 to 2000. A 30-year period is used to describe the present climate since it is enough time to filter out short-term fluctuations but is not dominated by any long-term trend in the climate. The frost-free period is the number of days between the last date of 00C in the spring and the first date of 00C in the fall. Frost free periods in Alberta vary from 125 days in the south to less than 85 days in higher elevation, non-agricultural areas.The frost-free period is presented as days above 0°.C in the following classes: less than 85, 85 to 95, 95 to 105, 105 to 115, 115 to 125 and greater than 125. This resource was created using ArcGIS.

Last Spring Frost (-2 °C) is defined as the average day, during the first half of the year, of the last occurrence of a minimum temperature at or below -2 °C.These values are calculated across Canada in 10x10 km cells.

Last Spring Frost (-4 °C) is defined as the average day, during the first half of the year, of the last occurrence of a minimum temperature at or below -4 °C.These values are calculated across Canada in 10x10 km cells.

Last Spring Frost (0 °C) is defined as the average day, during the first half of the year, of the last occurrence of a minimum temperature at or below 0 °C.These values are calculated across Canada in 10x10 km cells.

Growing Season Frost Free Period (-2 °C) is defined as the count of the number of days from the day after the last spring frost (-2 °C) to the day before the first fall frost (-2 °C). These values are calculated across Canada in 10x10 km cells.

Growing Season Frost Free Period (-4 °C) is defined as the count of the number of days from the day after the last spring frost (-4 °C) to the day before the first fall frost (-4 °C). These values are calculated across Canada in 10x10 km cells.

Growing Season Frost Free Period (0 °C) is defined as the count of the number of days from the day after the last spring frost (0 °C) to the day before the first fall frost (0 °C). These values are calculated across Canada in 10x10 km cells.

The Global Environmental eMuLator (GEML) is a component of the experimental Global Deterministic Prediction System (GDPS) and is an artificial intelligence (AI)-based weather emulator trained on past atmospheric states. More specifically, this GEML model is based on data compatible with the ¼°, 13-level version of the GraphCast model (Lam et al. 2023) from DeepMind. It was trained and refined by ECCC, using ECMWF's ERA5 data (1979-2016) and operational analyses (2016-2021). The weights have been recalculated and are also available to the public. Forecasts are carried out twice daily, each with a 10-day lead time. It generates the reference large-scale temperature and horizontal wind fields, toward which GDPS's GEM forecasts are spectrally nudged. The geographical coverage is global with a horizontal resolution of 28 km. Data is available on 13 pressure levels, and employs a uniform latitude-longitude grid with 0.25-degree grid resolution. Six atmospheric variables defined on the 13 pressure levels, along with 4 surface variables are available every 6 hours.

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.

An Element Occurrence (EO) is an area of land and/or water in which a species or ecological community is, or was, present. An Element is either a species (or subspecies taxa) or an ecological community, the Occurrence is the documented location. The EO concept is part of NatureServe methodology. This methodology is used throughout the NatureServe network. EOs are created based on the Element Occurrence Data Standard and are a derived product developed from submitted observations. An EO should have practical conservation value for the Element as evidenced by potential continued (or historical) presence and/or regular recurrence at a given location. For Species Elements, the EO often corresponds with the local population, but when appropriate may be a portion of a population (e.g., for long distance dispersers) or may be a group of nearby populations (e.g., metapopulation). For Ecological Community Elements, the EO may represent a stand or patch of a natural community, or a cluster of stands or patches of a natural community. This dataset contains Non-sensitive EOs. Non-Sensitive EOs are locations (i.e. occurrences) of species or communities that are rare (or of conservation concern for some other reason) and for which there are no restrictions regarding public access to location data (beyond agreeing to the Terms and Conditions detailed below). This data updates on a daily basis.