Feature layer depicting the centre of quarter sections, parish lots and others in Manitoba. The purpose of this layer is to provide search criteria for Manitoba legal descriptions.This feature layer is comprised of point locations that represent the centre of the bounds of the corresponding legal parcel. The types of legal descriptions include quarter sections (D.L.S.), river lots, parish lots, wood lots, outer two mile lots, and settlement lots. The point may not fall exactly on the centre of the legal parcel of land. This feature layer is meant as a search tool to locate the general location of the given legal description and it may not be exact. The points were initially derived from a variety of sources. Most of the points came from the Southern and Northern Grid of DLS section boundaries created by Sustainable Development. Fields included (Alias (Field Name): Field Description) OBJECTID (OBJECTID_1): Sequential unique whole numbers that area automatically generated Informal Legal Description (LEGAL_DESC): The informal legal description (No leading zeros on numbers). Formal Legal Description (LEGAL_DESC0): The formal legal description (Leading zeros on numbers). Type (TYPE): The type of legal division ('Quarter' = Quarter section, 'RL' = River lot, 'Lot' = Township lot, 'OT' = Outer two mile lot, 'PL' = Parish lot, 'SL' = Settlement lot, 'WL' = Wood lot). Quarter (QUARTER): Which DLS quarter section the point is referencing (NE, NW, SE or SW meaning respectfully North-east, North-west, South-east or South-west) Section (SECTION): The DLS section the point is referencing (1-36). Township (TOWNSHIP): The DLS township the point is referencing. Range (RANGE): The DLS range the point is referencing. Lot No. (LOT_NO): The lot number of the corresponding river, settlement, township, outer two mile or parish lot. Meridian (MERIDIAN): The meridian of the section (East 1, East 2 or West 1). Parish Name (PARISH_NAME): The name of the parish that the lot belongs to. Range Addition (RANGEADD): The added text for specific range values (if applicable).

Monitoring programs are an important component of Marine Protected Area (MPA) management, providing requisite information on the state of, and changes in, protected ecosystems. Monitoring is required to gauge the efficacy of MPAs towards their conservation objectives and provides information needed to evaluate the benefits provided to biodiversity from restricted access. However, in Nova Scotia’s coastal zone, there is a lack of baseline data, including fish diversity and community structure in macrophyte beds, which makes monitoring intractable. In 2017, the Eastern Shore Islands was identified as a coastal Area of Interest (AOI) for the potential establishment of an MPA. In 2018 an overview was conducted, detailing the spatial and temporal ecological attributes of the AOI. This information revealed a unique coastal ecosystem associated with a dense archipelago and relatively natural seascape. The abundance of plant and algal biogenic habitats within the area was assumed to host a diversity of juvenile fish species. The primary objective of this project is to begin development of a long-term biodiversity monitoring program in the Eastern Shore Islands and other coastal Areas of Interest for conservation planning. We propose implementing this program with the use of direct (beach seines, scuba diving, and stable isotope sampling) and indirect (environmental DNA - eDNA) sampling. Environmental DNA (eDNA) is a useful tool to examine marine biodiversity in a non-invasive way, on a small spatial scale. eDNA can be easily collected and filtered and is becoming increasingly cost efficient to sequence and may be a useful marine protected area monitoring tool. While eDNA generally yields comparable results to traditional sampling techniques in terms of biodiversity captured, little is known on how eDNA signals fluctuate across years (or even days to weeks). We will compare species detections using eDNA metabarcoding to visual surveys (scuba and seine nets) to census eelgrass beds across the coastal zone, providing a baseline and time series of species diversity on which to base long-term monitoring. This project will generate inventories of eelgrass bed locations, and fish and invertebrate diversity within eelgrass beds. We additionally collect fish length distribution data to examine seasonal and inter-annual trends in size structure over time. The data generated from direct and indirect sampling will provide a comprehensive and ongoing catalog of species diversity and community structure in coastal eelgrass beds, as well as best-practices for sampling eDNA in the coastal environment.Cite this data as: Jeffery, N.W., Pettitt-Wade, H., Van Wyngaarden, M., and Stanley, R.R.E. Maritimes Coastal Biodiversity Monitoring Program – Beach Seining.Published: December 2023. Coastal Ecosystems Science Division, Maritimes region, Fisheries and Oceans Canada, Dartmouth NS. https://open.canada.ca/data/en/dataset/dbbcb23a-d018-4b70-b8ec-89997aded770

The Standardized Precipitation Index (SPI) has been recognized as the most accessible index for quantifying and reporting meteorological drought. On short timescales, the SPI is closely related to soil moisture, while at longer timescales, the SPI can be related to groundwater and reservoir storage. The model uses observed historical precipitation amounts to compute probability distributions which are then normalized using an incomplete gamma function over a range of timescales. The values can be interpreted as the number of standard deviations by which the observed anomaly deviates from the long-term mean. where positive values (greater than zero) result from above average conditions.

This is a magnitude 5.0 earthquake scenario under Lake Ontario, very close to Toronto. This fault is not known to be active but demonstrates a plausible earthquake scenario for Toronto region.

PURPOSE:Ringed seals (Pusa hispida) rely on sea ice as habitat throughout their life history and inhabit a broad latitudinal range with diverse sea-ice conditions. Anthropogenic climate warming is triggering poleward species redistributions, highlighting the importance of understanding how species distributions and abundance vary along latitudinal gradients. Using ringed seals as a model species, the purpose was to estimate density via aerial surveys along a latitudinal gradient in the eastern Canadian Arctic to investigate latitudinal trends in the ringed seals response to regional variation in sea-ice conditions. DESCRIPTION:Ringed seals (Pusa hispida) rely on sea ice as habitat throughout their life history and inhabit a broad latitudinal range with diverse sea-ice conditions, making them a model species to study patterns in density along a spatial-environmental gradient. We estimated the density of ringed seals from systematic aerial surveys along a latitudinal gradient in the eastern Canadian Arctic to investigate latitudinal trends in the ringed seals response to regional variation in sea-ice conditions. Ringed seals exhibited similar densities at lower and intermediate latitudes, while higher latitudes displayed an order of magnitude lower ringed seal density. This shift is concurrent with the transition in ice conditions from predominantly first-year ice at lower latitudes to primarily multiyear ice at higher latitudes. These findings indicate that the variation in icescapes across the ringed seal’s vast range influences their density. The shift in sea-ice conditions may also have consequences for biological productivity that supports their diet. Our results highlight a likely non-uniform response of ringed seals to ongoing sea-ice recession across the Arctic.

Terrain Stability Mapping (TSM) contains polygons with key and amalgamated (concatenated) attributes derived from the RISC (Resource Inventory Standards Committee) standard attributes. TSM uses air photo interpretation and select field checking to divides the landscape into units using the Terrain Classification System for British Columbia and stability criteria. Polygon attributes include (but are not limited to) surficial material, surface expression, geomorphological processes, drainage class, slope range and stability class. TSM methods include manual air photo interpretation and setting stability criteria supported by selective field checking. This layer is derived from the STE_TEI_ATTRIBUTE_POLYS_SP layer by filtering on the PROJECT_TYPE attribute. Project types include: TEMSET, TEMTSM, TSM, TSMREC, TSMDET, TBW, and TBS. 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 Homogenized Surface Pressure data consist of monthly, seasonal and annual means of hourly sea level and station pressure (hectopascals) for 626 locations in Canada. Homogenized climate data incorporate adjustments (derived from statistical procedures) to the original station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. The time periods of the data vary by location, with the oldest data available from 1953 at some stations to the most recent update in 2014. Data availability over most of the Canadian Arctic is restricted to 1953 to present. The data will continue to be updated every few years (as time permits).

The Permafrost Information Network (PIN) geotechnical borehole database combines existing database compilations into a standard structure. The standardized database was created to be accessible from the PIN web application as a data layer. Further information regarding data compilation can be accessed from the PIN web application.

This data set shows utility lines that provide services for: * power * water * communications * heating fuel They include: * communication lines/submerged communication lines * hydro lines/submerged hydro lines * natural gas pipelines/submerged natural gas pipelines * water pipelines/submerged water pipelines * unknown pipelines * unknown transmission lines This product requires the use of geographic information system (GIS) software.

Pipeline centre-lines associated with oil and gas pipeline activity and falling within the area representing the pipeline right of way. This dataset contains line features collected on or after July 11, 2016 for approved pipeline centre-line locations. The dataset is updated nightly.