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We have found 127 datasets for the keyword " domaines". You can continue exploring the search results in the list below.
Datasets: 103,401
Contributors: 42
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127 Datasets, Page 1 of 13
Magnetic Domains
This dataset represents the interpreted Magnetic Domains of the Province of Saskatchewan.This dataset represents the interpreted Magnetic Domains of the Province of Saskatchewan. Regions of like magnetic intensity and/or structural texture have been interpreted from new aeromagnetic data collected for the Athabasca Basin and surrounding environs. Interpretations were made using a variety of presentations of the primary data including total magnetic intensity (TMI), 1st vertical derivative of TMI, horizontal derivative of TMI, automatic gain control of TMI and tilt derivative. Where possible, the interpreted domains extend the aeromagnetic response from older rocks that flank the basin beneath rocks of the Athabasca Group. The 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.
Precambrian Domains
This dataset shows the Precambrian Domains for the Province of Saskatchewan.This dataset shows the Precambrian Domains for the Province of Saskatchewan. Mapping in support of the dataset includes years of field observations which were then compiled and integrated into this dataset. The 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.
100 Class - Canadian Ecological Domain Classification from Satellite Data
100 Class - Canadian Ecological Domain Classification from Satellite Data. Satellite derived data including 1) topography, 2) landscape productivity based on photosynthetic activity, and 3) land cover were used as inputs to create an environmental regionalization of the over 10 million km2 of Canada’s terrestrial land base. The outcomes of this clustering consists of three main outputs. An initial clustering of 100 classes was generated using a two-stage multivariate classification process. Next, an agglomerative hierarchy using a log-likelihood distance measure was applied to create a 40 and then a 14 class regionalization, aimed to meaningfully group ecologically similar components of Canada's terrestrial landscape. For more information (including a graphical illustration of the cluster hierarchy) and to cite this data please use: Coops, N.C., Wulder, M.A., Iwanicka, D. 2009. An environmental domain classification of Canada using earth observation data for biodiversity assessment. Ecological Informatics, Vol. 4, No. 1, Pp. 8-22, DOI: https://doi.org/10.1016/j.ecoinf.2008.09.005. ( Coops et al. 2009).
14 Class - Canadian Ecological Domain Classification from Satellite Data
14 Class - Canadian Ecological Domain Classification from Satellite Data. Satellite derived data including 1) topography, 2) landscape productivity based on photosynthetic activity, and 3) land cover were used as inputs to create an environmental regionalization of the over 10 million km2 of Canada’s terrestrial land base. The outcomes of this clustering consists of three main outputs. An initial clustering of 100 classes was generated using a two-stage multivariate classification process. Next, an agglomerative hierarchy using a log-likelihood distance measure was applied to create a 40 and then a 14 class regionalization, aimed to meaningfully group ecologically similar components of Canada's terrestrial landscape. For more information (including a graphical illustration of the cluster hierarchy) and to cite this data please use: Coops, N.C., Wulder, M.A., Iwanicka, D. 2009. An environmental domain classification of Canada using earth observation data for biodiversity assessment. Ecological Informatics, Vol. 4, No. 1, Pp. 8-22, DOI: https://doi.org/10.1016/j.ecoinf.2008.09.005. ( Coops et al. 2009).
40 Class - Canadian Ecological Domain Classification from Satellite Data
40 Class - Canadian Ecological Domain Classification from Satellite Data. Satellite derived data including 1) topography, 2) landscape productivity based on photosynthetic activity, and 3) land cover were used as inputs to create an environmental regionalization of the over 10 million km2 of Canada’s terrestrial land base. The outcomes of this clustering consists of three main outputs. An initial clustering of 100 classes was generated using a two-stage multivariate classification process. Next, an agglomerative hierarchy using a log-likelihood distance measure was applied to create a 40 and then a 14 class regionalization, aimed to meaningfully group ecologically similar components of Canada's terrestrial landscape. For more information (including a graphical illustration of the cluster hierarchy) and to cite this data please use: Coops, N.C., Wulder, M.A., Iwanicka, D. 2009. An environmental domain classification of Canada using earth observation data for biodiversity assessment. Ecological Informatics, Vol. 4, No. 1, Pp. 8-22, DOI: https://doi.org/10.1016/j.ecoinf.2008.09.005. ( Coops et al. 2009).
Terrestrial Ecoprovinces of Canada
The “Terrestrial Ecoprovinces of Canada” dataset provides representations of ecoprovinces. An ecoprovince is a subdivision of an ecozone and is characterized by major assemblages of structural or surface forms, faunal realms, and vegetation, hydrology, soil, and macro climate. For example, the Newfoundland ecoprovince (no. 6.4) is one of six ecoprovinces within the Boreal Shield Ecozone
Fisheries Ecologist Areas
Areas of responsibility for fisheries biologists within Saskatchewan.Administrative boundaries for fisheries biologists in Saskatchewan. The province is divided into 6 areas in which individual biologists are responsible for all aspects of fisheries management. Prince Albert National Park is not managed by the province and falls under federal jurisdiction.
Tectonic domains for the basement of the WCSB (GIS data, polygon features)
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 4 of the Atlas, Potential Fields and Basement Structure - Western Canada Sedimentary Basin, Figure 1, Tectonic domains for the basement of the WCSB. 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.
AEP Parks Operations Division Region Boundaries
This dataset contains region boundaries which divide the province of Alberta into broad areas of operational administration, with respect to Parks Operations Division responsibilities on parks and protected areas administered by Alberta Environment and Protected Areas. Parks Operations Division Districts nest within Management Areas, which in turn nest within Parks Operations Division Regions. These boundaries are administrative/operational in nature, and are subject to change.
Tectonic domains for the basement of the WCSB (GIS data, line features)
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 4 of the Atlas, Potential Fields and Basement Structure - Western Canada Sedimentary Basin, Figure 1, Tectonic domains for the basement of the WCSB. 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.
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