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We have found 78 datasets for the keyword "extech iv". You can continue exploring the search results in the list below.
Datasets: 105,255
Contributors: 42
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78 Datasets, Page 1 of 8
Paleocurrent Directions
This dataset was developed for inclusion in EXTECH IV Athabasca uranium multidisciplinary study project geoscience database.This dataset was developed for inclusion in the EXTECH IV Athabasca uranium multidisciplinary study project geoscience database. It includes the Athabasca Basin paleocurrent directions and was compiled from paper field data sheets. **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.
Diamond Drillhole Locations (GIS data, point features)
Drillhole information was compiled by the Alberta Geological Survey from public mineral assessment file reports for 397 holes drilled in or near the Athabasca Basin in Northeastern Alberta. The work was done in support of the ExTech IV project led by the Geological Survey of Canada.
Precambrian Geology of Northeastern Alberta, NTS 74M, 74L and part of 74E, bedrock contacts (GIS data, line features)
This GIS dataset is part of a digital compilation of the Precambrian geology of the Alberta portion of the Canadian Shield and Athabasca Basin. It is one of the datasets used to produce Alberta Geological Survey (AGS) Map 537. For the Alberta shield, the compilation integrates detailed mapping by both AGS and the Geological Survey of Canada (GSC) at scales ranging between 1:31,680 and 1:250,000. Geochronological data and interpretations also helped prepare this dataset. For the Athabasca Basin, the compilation incorporates the geology of the basin presented in the ExTech IV volume, published in 2007 by the GSC. This dataset tries to present the geological information in a neutral manner, unbiased by the three mutually exclusive, regional tectonic concepts existing at the time of compilation. Users are encouraged to view AGS Map 537, which contains overviews of the geology of the respective areas and a complete reference list. This line feature dataset came from existing, though largely unpublished, digital sources. Areas of the shield are mainly from digitized versions of AGS Maps 180 and 25: the shield north of Lake Athabasca and south of the Athabasca Basin, respectively.
Precambrian Geology of Northeastern Alberta, NTS 74M, 74L and part of 74E, Structures (GIS data, line features)
This GIS dataset is part of a digital compilation of the Precambrian geology of the Alberta portion of the Canadian Shield and Athabasca Basin. It is one of the datasets used to produce Alberta Geological Survey (AGS) Map 537. For the Alberta shield, the compilation integrates detailed mapping by both AGS and the Geological Survey of Canada (GSC) at scales ranging between 1:31,680 and 1:250,000. Geochronological data and interpretations also helped prepare this dataset. For the Athabasca Basin, the compilation incorporates the geology of the basin presented in the ExTech IV volume, published in 2007 by the GSC. This dataset tries to present the geological information in a neutral manner, unbiased by the three mutually exclusive, regional tectonic concepts existing at the time of compilation. Users are encouraged to view AGS Map 537, which contains overviews of the geology of the respective areas and a complete reference list. The line feature dataset came from existing, though largely unpublished, digital sources. Areas of the shield are mainly from digitized versions of AGS Maps 180 and 25: the shield north of Lake Athabasca and south of the Athabasca Basin, respectively.
Precambrian Geology of Northeastern Alberta, NTS 74M, 74L and part of 74E, Mylonitized Zones (GIS data, polygon features)
This GIS dataset is part of a digital compilation of the Precambrian geology of the Alberta portion of the Canadian Shield and Athabasca Basin. It is one of the datasets used to produce Alberta Geological Survey (AGS) Map 537. For the Alberta shield, the compilation integrates detailed mapping by both AGS and the Geological Survey of Canada (GSC) at scales ranging between 1:31,680 and 1:250,000. Geochronological data and interpretations also helped prepare this dataset. For the Athabasca Basin, the compilation incorporates the geology of the basin presented in the ExTech IV volume, published in 2007 by the GSC. This dataset tries to present the geological information in a neutral manner, unbiased by the three mutually exclusive, regional tectonic concepts existing at the time of compilation. Users are encouraged to view AGS Map 537, which contains overviews of the geology of the respective areas and a complete reference list. The polygon feature dataset came from existing, though largely unpublished, digital sources. Areas of the shield are mainly from digitized versions of AGS Maps 180 and 25: the shield north of Lake Athabasca and south of the Athabasca Basin, respectively.
Harbor seal breeding and feeding areas in the Saguenay Fjord, the Estuary and Gulf of St. Lawrence
Layer that includes the known information on harbor seal breeding and feeding areas in the Saguenay Fjord, the Estuary and Gulf of St. Lawrence according to a literature review of documents produced between 1968 and 2001.Additional InformationHarbor seal breeding and feeding areas were produced according to a literature review of the following documents: Andersen, A. et M. Gagnon. 1980. Les ressources halieutiques de l'estuaire du Saint-Laurent. Rapp. can. ind. sci. halieut. aquat., 119: iv + 56 p.Communications personnelles par Fournier, C. 1999.Communications personnelles par Gosselin, J-F-. 1996.Communications personnelles par Gosselin. J.-F. 2001.Communications personnelles par Lavigueur, L. 1996.Dignard, N., R. Lalumière, A. Reed et M. Julien. 1991. Les habitats côtiers du nord-est de la Baie James. Publication hors-série no. 70. Environnement Canada, Service canadien de la faune. 30 p. + carte.Enquête auprès des pêcheurs et agents du MEF et du MPO. 1995.Mansfield, A. W. 1968. Seals and walruses. In: Beals, C.S., ed. Science, History and Hudson Bay. Vol. 1. Ottawa: Queen’s Printer. 501 p.
Electronic Navigational Chart (ENC) Maritime Chart Service DFO
This service provides a compilation of Electronic Navigational Charts (ENC) produced by the Canadian Hydrographic Service. All information provided by this service conforms to the International Hydrographic Organization (IHO) Publication S-57. An ENC contains all the chart information useful for navigation, and may contain supplementary information in addition to that contained in the paper chart. This service is not for navigation.
Vessel Density Mapping of 2017 AIS Data in the Northwest Atlantic
The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.
Vessel Density Mapping of 2019 AIS Data in the Northwest Atlantic
The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning.
Vessel Density Mapping of 2015 AIS Data in the Northwest Atlantic
The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.
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