This data record contains a digitized map reproduced from the original Passamaquoddy Marine Resource Pilot Study - 1982 Fisheries. The original map was produced by the Maritime Resource Management Service, using its GEO-BASED SYSTEM: an automated geographic information system used to create data bases and to manipulate and plot information for numerous natural resource applications. The original map is a product of the GEO-BASED SYSTEM and a conventional phot mechanical process. The fisheries information was extracted from a marine data base gathered by A.C.R.I.C. on behalf of the federal Department of Fisheries and Oceans, Parks Canada adn the New Brunswick Department of Fisheries, encompassing the Passamaquoddy region of the Bay of Fundy.Cite this data as: Maritime Resource Management Service 1982. Passamaquoddy Fisheries Marine Pilot Study -1982. Atlantic Coastal Resource Information Centre, Amherst, NS. Published: June 2026. Coastal Ecosystems Science Division, Maritimes Region, Fisheries and Oceans Canada, Dartmouth NS.

Linear network representing the estimated traffic flows for roads and highways managed by the Ministry of Transport and Sustainable Mobility (MTMD). These flows are obtained using a statistical estimation method applied to data from more than 4,500 collection sites spread over the main roads of Quebec. It includes DJMA (annual average daily flow), DJME (summer average daily flow), DJME (summer average daily flow (June, July, August, September) and DJMH (average daily winter flow (December, January, February, March) as well as other traffic data. It is important to note that these values are calculated for total traffic directions.Interactive map: Some files are accessible by querying an à la carte traffic section with a click (the file links are displayed in the descriptive table that is displayed upon click):• Historical aggregate data (PDF)• Annual reports for permanent sites (PDF and Excel)• Hourly data (hourly average per weekday per month) (Excel)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Data collected between 2005 to 2007, 3% of sample collected in 2005, 51% in 2006 and 46% in 2007. This dataset contains a compilation of data collected from different sources. **VOG 06/** **VOG** **08 (Value of Goods)** : The data is derived from the information collected in the 2006 Ontario Commercial Vehicle Survey. This survey is a roadside intercept survey of truck drivers, which collects information about the trip, commodity and the vehicle. The survey primarily captures intercity trucking activity and under-represents truck flows in urban areas. The value of goods provided in this table is derived from the Commercial Vehicle Survey, but factored up to represent the overall trucking activity on the network segment for 2006 and 2008. **AADTT 2006 and ****AADTT** **2008:** The data is derived from the Ministry of Transportation's (MTO) inventory of annual traffic data for the Provincial Highways. The commercial volumes are first calculated using the AADT and the Commercial Percentage values for each traffic segment. These values are then adjusted to remove variations between segments caused by fluctuations in AADT. The volume given for each direction is one-half of the total value. MTO does not maintain volume by direction. For freeway segments with core/collector configuration, the total volume is divided into four equal portions and assigned to each stream. **Hourly Truck Volumes ( WD00-23 and WN00-23): ** These fields contain estimates of average hourly volumes for a typical weekday and weekend day. The estimates are based on observed hourly distribution at more than 100 directional Commercial Vehicle Survey sites across the province, **AADTT** and other information. **RD _NAME:** Name of the road **VOG** **06:** 2006 average daily value of goods assigned to road network link by directions. **VOG** **08:** 2008 average daily value of goods assigned to road network link by directions. **AADTT** **2006:** 2006 Annual Average Daily Truck Traffic; it is the truck volume assigned to road network link by directions. **AADTT** **2008:** 2008 Annual Average Daily Truck Traffic; it is the truck volume assigned to road network link by directions. **WD** **00-23:** 2008 Weekday ( **WD** ) hourly truck volume; 00 - 23 represents starting hour of the day (e.g. 12 represents 12 P.M. - 1 P.M.). **WN** **00-23:** 2008 Weekend ( **WN** ) hourly truck volume; 00 - 23 represents starting hour of the day (e.g. 12 represents 12 P.M. - 1 P.M.). *[ WD]: Week day *[VOG]: Value of Goods *[AADTT]: Annual Average Daily Truck Traffic *[WN]: Week end *[RD]: Road *[WD]: Week day *[MTO]: Ministry of Transportation *[AADT]: Annual Average Daily Traffic

Escape Room GIS Week Event Game shape file for Final Destination tracks.

The digital terrain model (DTM) is a simplified representation of ground altimetry. The available data is in the form of an irregular triangular mesh (TIN). This is polygon numerical geographic data constructed by triangulating a set of points. The vertices are connected to a series of segments to form a mesh of triangles of different dimensions. This representation can be used as a basis for the 3D buildings of the digital base model.It should be noted that the data made available by the City is proposed for planning purposes and not for construction purposes given the associated decimeter details.The [3D buildings 2016 (LOD2 model with textures)]] (https://donnees.montreal.ca/ville-de-montreal/batiment-3d-2016-maquette-citygml-lod2-avec-textures2), the [2013 3D buildings (2013 3D buildings (CityGML LOD2 model with textures)] (/city-of-montreal/model-numeric-plateau-mont-royal-buildal-build2-buildings-lod2-with-textures), or the [3D buildings 2009 (CityGML LOD2 model with textures)] (/city-of-montreal/model-numeric-plateau-mont-royal-build2-buildings-lod2-with-textures), or the [3D buildings 2009 (CityGML LOD2 model with textures)] (/city-of-montreal/model-numerique-plateau-mont-royal-batiments-lod2-with-textures), or the [3D buildings 2009 (CityGML LOD2 model with textures)] (/city-of-montreal/model-numeric-s-citygml-lod2-with-textures) complement the digital terrain model in the urban territorial representation of Montreal.The [elevation data from aerial LiDAR] (/city-of-montreal/lidar-aerien-2015) are also available on the portal.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

High-Resolution Digital Elevation Model (HRDEM) generated from LiDAR. This data collection includes a Digital Terrain Model (DTM) and a Digital Surface Model (DSM). The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013). Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The data in this collection have been reprojected from the source reference system to the Canada Atlas Lambert projection (EPSG:3979). **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

A digital terrain model (DTM) is a digital representation of elevations throughout the Province. DTM files contain elevation mass points, check points, spot heights and random densified points. The spacing between the elevation points is approximately 70 metres and the absolute vertical accuracy of a single elevation point is approximately 2.5 metres. The elevations are expressed as metres above mean sea level.

The 1 cm resolution digital surface model (DSM) was created from unmanned aerial vehicle (UAV) imagery acquired from a single day survey, July 28th 2016, in Cambridge Bay, Nunavut. Five control points taken from a Global Differential Positioning System were positioned in the corners and the center of the vegetation survey. The DSM covering 525m2 was produced by Canada Centre for Remote Sensing /Canada Centre for Mapping and Earth Observation. The UAV survey was completed in collaboration with the Canadian High Arctic Research Station (CHARS) for northern vegetation monitoring research. For more information, refer to our current Arctic vegetation research: Fraser et al; "UAV photogrammetry for mapping vegetation in the low-Arctic" Arctic Science, 2016, 2(3): 79-102. http://www.nrcresearchpress.com/doi/abs/10.1139/AS-2016-0008

High-Resolution Digital Elevation Model (HRDEM) generated from LiDAR. This data collection includes a Digital Terrain Model (DTM) and a Digital Surface Model (DSM). The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013). Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The data in this collection have been reprojected from the source reference system to the Canada Atlas Lambert projection (EPSG:3979). **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

High-Resolution Digital Elevation Model (HRDEM) generated from LiDAR. This data collection includes a Digital Terrain Model (DTM) and a Digital Surface Model (DSM). The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013). Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The data in this collection have been reprojected from the source reference system to the Canada Atlas Lambert projection (EPSG:3979). **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**