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We have found 770 datasets for the keyword "belly river". You can continue exploring the search results in the list below.
Datasets: 103,468
Contributors: 42
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770 Datasets, Page 1 of 77
Subsurface Stratigraphic Picks for the Belly River Group/Lea Park Formation Transition in East-Central Alberta (tabular data, tab delimited format)
The dataset includes subsurface stratigraphic picks for the interfingering members that define the transition between the Belly River Group and the Lea Park Formation in east-central Alberta (Townships 1 to 62, Ranges 1W4 to 21W4) made from wireline geophysical well logs. Coarsening upwards, siltstone to sandstone-dominated members of the Belly River Group include (from youngest to oldest) the upper Birch Lake, lower Birch Lake, Ribstone Creek, Victoria, and Brosseau members. Interfingering mudstone-dominated members of the Lea Park Formation include the Mulga, Grizzly Bear, Vanesti, and Shandro members. Where the top and base are present, we calculated isochore values for each member. Well data were screened to detect errors resulting from deviated wells, as well as incorrect ground and kelly bushing elevation data. We used statistical methods to identify local and regional statistical outliers, which were examined individually.
Placer Watersheds - 50k
The dataset contains data for placer watersheds locations. The dataset covers 18 watersheds within the Yukon Territory. The following watersheds form the principle boundaries of the dataset: Big Creek, Big Salmon River, Forty Mile River Indian River, Klondike River, Mayo River McQuesten River, Nisutlin River, Nordenskiold River Pelly River, Sixty Mile River, Southern Lakes (Yukon) Stewart River, White River\*, Yukon River North Yukon River South, Alsek River, Liard River \*Note - A small portion of the headwaters of the Tanana River (Yukon) watershed is associated within the boundaries of the White River watershed .Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)
Top of the Belly River Group in the Alberta Plains: Subsurface Stratigraphic Picks and Modelled Surface (tabular data, tab delimited format, to accompany Open File Report 2010-10)
The dataset includes subsurface stratigraphic picks of the top of the Belly River Group in the Alberta Plains (Townships 1 to 50, Ranges 1W4 to 2W5) made from wireline, geophysical well logs. The dataset supplements Alberta Geological Survey Open File Report 2010-10, which describes the methodology. We screened the well data to detect errors resulting from deviated wells, as well as incorrect ground and kelly bushing elevation data. We used statistical methods to identify local and regional statistical outliers, which were examined individually.
Beluga whale sightings made on 23 July 1992 in Mackenzie River Estuary
This record contains data on beluga whale locations in the Mackenzie estuary reported in Harwood, L.A. and P. Norton (1996). Aerial survey data from the southeast Beaufort Sea, Mackenzie River estuary and west. Amundsen Gulf, July 1992. Canadian Data Report of Fisheries and Aquatic Sciences No. 964
Belly River Zero Edge
These structure, isopach and zero edge files are part of a series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project.The series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project have been produced using 2 km equi-spaced modified grids generated from Golden Software’s Surfer 9 kriging algorithm. The dataset used to produce each of the maps in this series was created using data from several projects completed by the Ministry (Christopher, 2003; Saskatchewan Industry and Resources et al., 2004; Kreis et al., 2004; Marsh and Heinemann, 2006; Saskatchewan Ministry of Energy and Resources et al., 2007; Heinemann and Marsh, 2009); these data were validated and edited as required to facilitate correlations between the various regional projects. In addition, to minimize edge effects during contouring, the senior author also generated stratigraphic data from wells in adjacent jurisdictions.
Greenbelt river valley connections
The purpose of this dataset is to identify the location of river valley connections.
Belly River Isopach
These structure, isopach and zero edge files are part of a series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project.The series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project have been produced using 2 km equi-spaced modified grids generated from Golden Software’s Surfer 9 kriging algorithm. The dataset used to produce each of the maps in this series was created using data from several projects completed by the Ministry (Christopher, 2003; Saskatchewan Industry and Resources et al., 2004; Kreis et al., 2004; Marsh and Heinemann, 2006; Saskatchewan Ministry of Energy and Resources et al., 2007; Heinemann and Marsh, 2009); these data were validated and edited as required to facilitate correlations between the various regional projects. In addition, to minimize edge effects during contouring, the senior author also generated stratigraphic data from wells in adjacent jurisdictions.
Belly River Structure
These structure, isopach and zero edge files are part of a series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project.The series of stratigraphic framework maps for the Saskatchewan Phanerozoic Fluids and Petroleum Systems (SPFPS) project have been produced using 2 km equi-spaced modified grids generated from Golden Software’s Surfer 9 kriging algorithm. The dataset used to produce each of the maps in this series was created using data from several projects completed by the Ministry (Christopher, 2003; Saskatchewan Industry and Resources et al., 2004; Kreis et al., 2004; Marsh and Heinemann, 2006; Saskatchewan Ministry of Energy and Resources et al., 2007; Heinemann and Marsh, 2009); these data were validated and edited as required to facilitate correlations between the various regional projects. In addition, to minimize edge effects during contouring, the senior author also generated stratigraphic data from wells in adjacent jurisdictions.
Manitoba Drainage Basins
Drainage basins of Manitoba.Hydrologic drainage basins found within Manitoba. The Assiniboine River basin is divided to indicate the Shellmouth Reservoir subbasin, to better illustrate local impacts and conditions. Basin names are in English and French.
Subsurface Stratigraphic Picks for the Top of the Milk River 'shoulder', Alberta Plains (tabular data, tab delimited format, to accompany Open File Report 2013-17)
The dataset includes subsurface stratigraphic picks of the Milk River 'shoulder' in the Alberta Plains (Townships 1 to 73, Ranges 1W4 to 2W6) made from wireline geophysical well logs. The Milk River 'shoulder' is an informal term often used to refer to a distinctive 'shoulder' (deflection) on resistivity, sonic, density, and porosity logs. The Milk River 'shoulder' corresponds to the top of the Milk River Formation in southernmost Alberta, where it represents juxtaposition between paralic deposits of the underlying Deadhorse Coulee Member of the Milk River Formation and overlying marine shale of the Pakowki Formation. It is characterized by a leftward deflection (decreasing resistivity) upwards across the contact, forming the distinctive 'shoulder signature'. To the north, the Milk River 'shoulder' represents the boundary between the Alderson Member (lower Lea Park Formation) and the upper Lea Park Formation (Pakowki equivalent). In these areas, silty sands and mudstones of the Alderson Member are overlain by shales of the upper Lea Park Formation. Well data were screened to detect errors resulting from deviated wells, as well as incorrect ground and kelly bushing elevation data. We used statistical methods to identify local and regional statistical outliers, which we examined individually.
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