This layer contains point features that represent New Brunswick Geological Survey till sample locations where laboratory grain size analysis was completed. Grain size data are contained in the attribute data for each location.Grain size analysis is limited to the dry-sieved <2 mm fraction of collected till samples. This fraction of the till sediment is subjected to hydrometer grain size analysis to determine the percentages of sand, silt, and clay. The process is based on the hydrometer method of Bouyoucous 1962.Sand: 63 µm to 2 mmSilt: 2µm to 63 µmClay: < 2 µmBouyoucous, G.H. (1962) Hydrometer Method Improved for Making Particle Size Analysis of Soils. Agronomy Journal, 54, 464-465

This layer contains point features that represent New Brunswick Geological Survey till sample locations where laboratory grain size analysis was completed. Grain size data are contained in the attribute data for each location.Grain size analysis is limited to the dry-sieved <2 mm fraction of collected till samples. This fraction of the till sediment is subjected to hydrometer grain size analysis to determine the percentages of sand, silt, and clay. The process is based on the hydrometer method of Bouyoucous 1962.Sand: 63 µm to 2 mmSilt: 2µm to 63 µmClay: < 2 µmBouyoucous, G.H. (1962) Hydrometer Method Improved for Making Particle Size Analysis of Soils. Agronomy Journal, 54, 464-465

This GIS dataset depicts the drift thickness of NTS map area 84L ( line features). The data are created in ArcInfo format and output for public distribution in Arc export (E00) and shapefile formats.

This GIS dataset depicts the drift thickness of NTS map area 84M ( line features). The data are created in ArcGIS and output for public distribution in shapefile formats.

This dataset represents surface to bedrock isopach (thickness in metres) map of glacial drift for the Province of Saskatchewan at 1:1 000 000 scale.This dataset represents surface to bedrock isopach (thickness in metres) map of glacial drift at 1:1 000 000 scale. This data was created as a file geodatabase feature class and output for public distribution. **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse.  They are therefore identical and share the same refresh schedule. 

This map displays the distribution of organic soils in the agricultural region of Alberta. Organic soils consist of layers of material with greater than 30 percent organic matter and a total thickness of greater than 40 cm. Organic soils are generally saturated with water for most of the year unless drained. Saturation inhibits decomposition and encourages continued accumulation of organic material. Drainage of these soils can result in a rapid increase in decomposition and a reduction in the thickness of the organic material. This resource was created in 2002 using ArcGIS.

Seasonal and annual multi-model ensembles of projected change (also known as anomalies) in sea ice thickness, based on an ensemble of twenty-six Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1900-2100. Projected change in sea ice thickness is with respect to the reference period of 1986-2005 and expressed as a percentage (%). The 5th, 25th, 50th, 75th and 95th percentiles of the ensemble of sea ice thickness change are available for the historical time period, 1900-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100. Twenty-year average changes in sea ice thickness (%) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of CMIP5 climate models is provided. Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

The data represents the relative cultivation intensity in the agricultural area of Alberta. Cultivation intensity refers to the frequency of cultivation associated with the following management systems: no till, conventional tillage and summerfallow. It is an estimate of the degree to which cultivation contributes to wind and water erosion. The classes shown on the map are ranked between 0 (lowest) and 1 (highest).This map was created in 2002 using ArcGIS.

Multi-model ensembles of sea ice thickness based on projections from twenty-six Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1900-2100. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of sea ice thickness (m) are available for the historical time period, 1900-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100. Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

A Yukon-wide compilation of 1102 till geochemistry samples collected during 4 regional till sampling surveys conducted by Yukon Geological Survey in the Faro/Anvil Range, Weasel Lake, Finlayson Lake and Glenlyon/East Carmacks areas between 1998 and 2002. Complete analytical results for more than 40 elements are included in the attribute table for each sample.