This digital dataset is the compilation of an analysis of the in situ stress regime in several regions of Alberta and northeastern British Columbia conducted by Dr. Sebastian Bell under a contract with the Alberta Geological Survey from 1999 to 2004. The dataset includes both new and previously published estimates for vertical stress gradients, minimum horizontal stress gradients, and stress orientation. Understanding the state of stress in the subsurface has always been important in the development of energy resources. The recent development of unconventional oil sand and low permeability hydrocarbon deposits, waste fluid disposal, greenhouse gas sequestration, and potential geothermal energy extraction all require knowledge of the state of stress to operate safely and economically. A lack of understanding of the state of stress in a given project area has the potential to negatively affect the economics of such projects and may expose operators to increased liabilities. Regional-scale studies of the stress regime indicate that in southern and central Alberta the vertical stress (Sv) is the largest principal stress. The Sv magnitude is determined from the overburdened load and is calculated by integrating the bulk density log from ground surface to the depth of interest. This dataset contains 724 vertical stress gradient measurements from 126 wells in Alberta. The minimum horizontal stress (Shmin) can be evaluated using a variety of tests. While leak-off tests and fracture breakdown pressures have been used in the past for estimating the magnitude of the Shmin, mini-fracture tests (also known as DFITS) are currently considered a more accurate and consistent method. This dataset includes only mini-fracture test data, consisting of 106 minimum horizontal stress gradient measurements in 83 wells. Alberta was one of the first regions in the world where stress mapping began, originating in the pioneering 'borehole breakout' developments of Dr. Bell from the Geological Survey of Canada in Calgary and Dr. Gough from the University of Alberta. The Shmin orientations can be determined from borehole breakouts, which are spalled cavities that occur on opposite walls of a borehole. This dataset contains 214 stress orientation measurements from 133 wells.

Past wind directions are mapped from stabilized sand dunes in Canada and the northern United States. The map shows the near-surface wind directions responsible for transporting sand when the dunes were active. The directions were mapped by interpreting the orientation of parabolic dunes from open-sourced Lidar (light detection and ranging) derived digital terrain models. The map also shows new dune areas that add to the existing knowledge of dune fields in North America. The interpreted wind directions provide insight into the past atmospheric circulation patterns that occurred during the deglaciation of North America and the transition to modern circulation patterns that occur today.

The Crop Stress Index is the ratio of actual evapotranspiration (AET) to potential evapotranspiration (PET) express as: CSI = 1-(AET/PET)AET and PET are calculated within the Versatile Soil Moisture Budget (VSMB) model using temperature and precipitation data and a crop-specific biometeorological time scale model to estimate growth stage (Robertson, 1968), with crop specific phenological and crop water extraction coefficients taken from Chipanshi et al 2013. The WDI ranges between 0 and 1, with a value closer to 1 indicating higher stress Crop Stress Index is modelled for each climate station using measured precipitation and temperature

Water quality and ecosystem health data used to conduct a cumulative effects assessment of Canadian Great Lakes nearshore waters in support of the Great Lakes Water Quality Agreement are included in this dataset. The data was collected by various government and non-government agencies and organizations and integrated into this dataset to allow the assessment to be conducted. By conducting a regular, systematic assessment of cumulative effects in the nearshore waters of the Great Lakes Environment and Climate Change Canada (ECCC) is able to identify areas of high quality and areas under stress. Knowledge of ecological thresholds, other Great Lakes assessments, stressor information, indicators and local and traditional ecological knowledge will be used to aid in: 1) the identification and mapping of high quality nearshore areas and areas that are or may become subject to high stress and; 2) the determination of factors and cumulative effects that are causing stress or threats. Cumulative effects impacting the nearshore and future threats to areas of high ecological value will be better understood and the knowledge shared will assist in priority setting for science and management at a meaningful and practical spatial scale within each Great Lake and connecting channel.

Specific location of addresses, excluding apartment numbers.Attributes:Municipality - Municipality Code - Municipality CodeNo_Civic - Civic NumberType_Lane - Road Type_Lane - LinkName_Lane - LinkName_Lane - Link Road - Name of the wayOrientation - Name of the wayOrientation - Orientation of the lane (N, S, E, O) STREET - Full name of the streetAddress - Address**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Geological Atlas of the Western Canada Sedimentary Basin was designed primarily as a reference volume documenting the subsurface geology of the Western Canada Sedimentary Basin. This GIS dataset is one of a collection of shapefiles representing part of Chapter 29 of the Atlas, In-situ Stress in the Western Canada Sedimentary Basin, Figure 10, Stress Trajectories Determined from Breakouts. Shapefiles were produced from archived digital files created by the Alberta Geological Survey in the mid-1990s, and edited in 2005-06 to correct, attribute and consolidate the data into single files by feature type and by figure.

Fisheries and Oceans Canada and Environment and Climate Change Canada (Northern Contaminants program) have been working with Nunavut community Hunters and Trappers Organizations and theNunavut Wildlife Management Board consistently since 1980 to collect samples from harvested ringed seals. The majority of seals were measured in the field by Inuit hunters who recorded date of kill, sex and blubber depth at sternum (0.5 cm). The data from the harvested animals are used to evaluate stressors and overall seal health, in the Canadian Arctic.

This dataset was collected in support of a Competitive Science and Research Fund project (21-CC-05-06 Impacts of coastal acidification and climate change stressors on the Atlantic sea scallop: larval supply, recruitment and adaptive capacity to multiple global change drivers) lead by Fisheries and Oceans Canada (DFO). The objective of this research is to characterize coastal environmental conditions associated with scallop spawning and larval drift in Passamaquoddy Bay, New Brunswick. This dataset includes temperature, conductivity, salinity, sigma-theta, sea pressure, and depth information taken at weekly intervals at the sampling stations. In total, this dataset represents a total of 62 CTD profiles collected across 3 sampling stations over 22 sampling days from June to October 2022. Sampling stations were selected to compare scallop recruitment signals from Chamcook Harbour, a decommissioned scallop aquaculture site in Big Bay (MS-1077) and in the middle of Passamaquoddy Bay. Data were processed in accordance with instrumentation manufacturer guidelines and DFO Ocean Data and Information Section QAQC procedures. Cite this data as: Miller, E., Quinn, B., Azetsu-Scott, K., Childs, D., Gabriel, C-E., Newhook, M. 2025. Impacts of coastal acidification and climate change stressors on the Atlantic sea scallop. Published October 2025. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B

A building is a structure that has a roof and walls and stands more or less permanently in one place. Symbols are used when buildings and structures are permanent landmarks. Symbolized buildings have no side larger than 50 metres for 1:20,000 data or no side larger than 30 metres for 1:10,000 data. Small structures (including buildings less than 50 square metres) are not shown unless they constitute a point of orientation. This product requires the use of geographic information system (GIS) software. [Land Information Ontario: Data Class Fact Sheet - Building to Scale (PDF)](https://www.sdc.gov.on.ca/sites/MNRF-PublicDocs/EN/CMID/Building%20to%20Scale%20-%20Data%20Description.pdf)

Point layer of civic number ranges on the front of the lot.Taken from the graphic matrix using the assessment roll.**Collection context** Taken from the assessment roll**Collection method** Cartographic integration through the process of updating the graphic matrix.Data integration method and manual positioning.**Attributes*** `ID` (`integrate`): ID* `ADM01A` (`varchar`): Geographic code* `SI0314A` (`smalldatetime`): Registration date* `SI0314B` (`integer`): Scale* `SI0314C` (`varchar`): Civic number* `SI0314D` (`varchar`): Police* `SI0314E` (`numeric`): Size* `SI0314F` (`numeric`): Orientation* `SI0314G` (`varchar`): Anchor* `LOC_X` (`numeric`): X* `LOC_Y` (`numeric`): Y* `SI0317C` (`varchar`): Registration* `DATE_CREATION` (`smalldatetime`): Creation date* `DATE_MODIFICATION` (`smalldatetime`): Date of modificationFor 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).**