This product provides the variability index for selected drainage regions in Canada. Variability is measured using a coefficient of variation (CV) to compare all months over a 42-year time period and is a measure of the dispersion or variation in the monthly yield values from 1971 to 2013 (and 1971 to 2012 for drainage region 1). It is defined as the ratio of the standard deviation to the mean or the standard deviation divided by the mean, with higher CVs indicating more variability in monthly water yields. The monthly variability was not calculated for drainage regions 5, 7, 8, 16, 17, 18, or the Labrador portion of 25.

Ontario Integrated Hydrology (OIH) data is used to generate watersheds and support provincial-scale hydrology applications including: * watershed generation * hydrologic modelling * watercourse network analysis Four key datasets are represented in each data package: * stream network (Enhanced Watercourse) * hydrology-enforced digital elevation model [DEM ] (Enforced DEM) * flow direction grid (Enhanced Flow Direction - EFDIR) * raster representation of the stream network (StreamGrid) __Technical information__ For the first time, OIH data is complete for the entire province making it possible to create a watershed for any location in Ontario. This includes areas flowing in from neighbouring provinces and Minnesota with the following exceptions: * points on the international border that drain to Lake Superior, south of Pigeon River * points on the international border that drain the Great Lakes connecting channels and St. Lawrence River stateside * points along the Ottawa River that drain from Quebec __Special note: North West package__ The North West package contains hydrography data for the entire Rainy River Basin, an area which straddles the international border between Canada and the United States. The data stateside originates from the National Hydrography Dataset (NHD) as of February/March 2014. This data has been harmonized with the Ontario Hydro Network (OHN) to create the Enhanced Watercourse and Integrated Waterbody layers found within the North West package. For more information on when the data was initially extracted and incorporated, refer to these fields stored in the attribute table of each vector layer in the geodatabase: * Effective Date (EFF_DATE) * Geometry Update Date (GEO_UPD_DT) The data stateside is a static snapshot of NHD intended to support regional modeling. Please refer to the [United States Geological Survey (USGS)](https://www.usgs.gov/core-science-systems/ngp/national-hydrography) website for the most current version of NHD. Data is updated after the completion of major updates to source data (such as OHN and/or the Provincial DEM).

This dataset contains observations of species occurrences from seafloor imagery collected by the autonomous underwater vehicle (AUV) during the 2012 Expedition to Cobb Seamount. The National Oceanographic and Atmospheric Administration-operated SeaBED-class AUV which collected photographic images from 4 transects ranging from 436 m to 1154 m in depth.

Tree swallow (Tachycineta bicolor) nest boxes are installed in oil sands area and in reference locations to monitor contaminant levels and impacts on tree swallow nestlings. The exposure to tree swallow nestlings to air-borne oil sands-related contaminants such as polycyclic aromatic hydrocarbons (PAHs) is assessed using passive air samplers. Measures of avian health are examined in relation to location of sampling and contaminants measured.

Grain size is the most fundamental physical property of sediment, and these data are widely used in a variety of applications in science. Marine expeditions of the Geological Survey of Canada have been collecting grain size information on seabed and sub-seabed samples for over 50 years. Results have been recorded at 5th phi midpoints since the early 1990's in contrast to the earlier full, half or quarter phi interval end point values. Users of high resolution data must note that the sum of %Silt and %Clay equals the total %Mud makeup and that %Gravel, %Sand, %Silt and %Clay sum to 100%. Summary statistics include percentages of gravel, sand, silt, clay and mud as well as mean, kurtosis, skewness and standard deviation. The quality of these data varies. Results should be used with some caution as they may not be fully representative of seabed grainsize, particularly in areas of sandy and coarser sediment (e.g., sand and mud can leak out of the sampler during recovery). Canada makes no representation or warranty of any kind with respect to the accuracy, usefulness, novelty, validity, scope, completeness or currency of the data and expressly disclaims any implied warranty of merchantability or fitness for a particular purpose of the data. For the purpose of the web mapping service, grain size data are sorted by the expedition id. Coarse and detailed grain size distribution plots are shown when a point is chosen. If the sample contains more that one sub-sample ( e.g., as with a piston core sequence), the grain size plots are stacked in the display window from the top of the core downwards.

The Ontario Forest Biomonitoring Network (OFBN) monitors the health of mixed hardwood forests across southern and central Ontario. The data set includes: * Individual Tree Data: Decline Index and other measurements of visual stress symptoms of each tree within 111 plots * Decline Index: The Decline Index is a weighted average of tree stress symptoms (percent dead branches, percent slight or strong chlorosis (pale green-yellow leaves) and percent undersized leaves). Averaged for hardwood trees found within each of the 111 plots in each year. * Invasive Plant Species Presence Data * Salamander Data: numbers of individuals of salamander and other animal species in 14 plots * Tree Regeneration Data: monitors numbers of tree seedlings/saplings in 102 plots * Woody Debris Data: amount of woody debris on ground in 102 plots

Polygons denoting concentrations of sea pens, small and large gorgonian corals and sponges on the east coast of Canada have been identified through spatial analysis of research vessel survey by-catch data following an approach used by the Northwest Atlantic Fisheries Organization (NAFO) in the Regulatory Area (NRA) on Flemish Cap and southeast Grand Banks. Kernel density analysis was used to identify high concentrations and the area occupied by successive catch weight thresholds was used to identify aggregations. These analyses were performed for each of the five biogeographic zones of eastern Canada. The largest sea pen fields were found in the Laurentian Channel as it cuts through the Gulf of St. Lawrence, while large gorgonian coral forests were found in the Eastern Arctic and on the northern Labrador continental slope. Large ball-shaped Geodia spp. sponges were located along the continental slopes north of the Grand Banks, while on the Scotian Shelf a unique population of the large barrel-shaped sponge Vazella pourtalesi was identified. The latitude and longitude marking the positions of all tows which form these and other dense aggregations are provided along with the positions of all tows which captured black coral, a non-aggregating taxon which is long-lived and vulnerable to fishing pressures. These polygons identify large gorgonian coral fields from the broader distribution of large gorgonian corals in the region as sampled by Campelen trawl gear in the Eastern Arctic biogeographic zone. A 15 kg minimum threshold for the large gorgonian coral catch was identified as the weight that separated the large gorgonian field habitat from the broader distribution of large gorgonian corals with these research vessel tow data and gear type.

This series of projected future flood susceptibility maps were generated using an XGBoost machine learning model trained on major floods from 2005 to 2023. The trained model was applied to future climate scenarios for 2050, 2070, and 2100, under two SSP scenarios: 245 and 585. The model uses temperature and precipitation time series to estimate potential future flood susceptibility. These maps represent model projections and should be interpreted as indicators of potential flood susceptibility, not precise forecasts. This dataset forms part of a broader collection of flood susceptibility datasets, offering related information and analyses. The collection includes an overview page with associated publications, historic susceptibility values, temporal trends, and future projections. - [Collection – Flood Susceptibility Mapping]( https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc) - [Historic - Flood Susceptibility Mapping]( https://open.canada.ca/data/en/dataset/ea1384df-bf4a-4743-97bb-870dc43f8d77) - [Trends and Extremes – Flood Susceptibility Mapping]( https://open.canada.ca/data/en/dataset/3202e0a0-0afb-4120-b102-b0c41f0fb9eb)

Watercourses are line features - natural or manmade - that represent the location of flowing surface water. This product requires the use of geographic information system (GIS) software.

Since 1985, research surveys targeting scallops—primarily the sea scallop (Placopecten magellanicus) and, to a lesser extent, the Icelandic scallop (Chlamys islandica)—have been conducted by Fisheries and Oceans Canada (DFO) at one- or two-year intervals around the Magdalen Islands (fishing area 20A). The main objective of this survey is to assess the status of sea scallop stocks. The study area is situated south of the Magdalen Islands, where scallop beds are typically sampled at depths ranging from approximately 25 to 35 m. Sampling stations are randomly selected from a predetermined fixed grid, with sampling conducted along transects at these randomly assigned locations within the study area. Each station is sampled using a lined Digby scallop dredge (20 mm mesh size), towed for roughly 500 m across the seabed. This publication includes three files: the file biometriePetoncle_20, which contains detailed biometric data (species, size, weights and sex) from 1998 to 2024; the file taillePetoncle_20, which provides the size of the individuals sampled from 2009 to 2024; and the file traitPetoncle_20 which contains the abundances and densities per tow from 2009 to 2024. Data on abundances and densities per tow from 1998-2008 is available upon request. This dataset is updated every one to two years as data becomes available. A cleaning of aberrant data has been carried out. However, there is missing data in various columns of the dataset – use the data with caution. If you have any questions please contact DFO.DataManagementSAISB-GestionDonneesDAISS.MPO@dfo-mpo.gc.ca or the author. For certain time periods, associated species are identified and semi-quantitatively counted directly on the sorting table, and the results are presented in the following publications: - https://open.canada.ca/data/en/dataset/6529a4b0-f863-4568-ac71-1fa26cf68679 - https://open.canada.ca/data/en/dataset/71732ad5-5c70-4dbf-916d-a94e1380c53b