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We have found 159 datasets for the keyword "fields". You can continue exploring the search results in the list below.
Datasets: 105,255
Contributors: 42
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159 Datasets, Page 1 of 16
Sports and recreational facilities
Sports and recreational facilities including: arenas, tube slides, water games, water games, iron and pebble games, game modules, skateboard modules, skating rinks, pools, multi-functional tracks, beaches, courts, dance floors, beaches, courtyards and dance floors, the archery site and the archery site and the fields for baseball, basketball, soccer, petanque, multi-functional tracks, beaches, courts and dance floors, beaches, courtyards and dance floors, the archery site and the fields for baseball, basketball, soccer, petanque, pickleball, soccer, tennis, ultimate frisbee, and volleyball. Attributs:type - Type of installationDetail - Details about the installation (e.g. number of tennis courts, configuration of soccer fields, etc.) NAME - Name of the installationSurface - Type of surfaceLighting - Installation lighting**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Natural Resources and Renewables Field Office Locations
Physical NRR field office locations. Data fields include: region; addresses (address1, address 2, address 3); province; postal [code]; county.
Sports field
Location of municipal sports fields on the territory of the City of Repentigny.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Arena and sports building
All buildings housing sports structures such as skating rinks or soccer fields.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Petroleum Historical Oil Field
Historical Oil Fields are subsurface accumulations or 'pools' of crude oil designated as such for the purposes of the Oil, Gas and Salt Resources Act. This product requires the use of geographic information system (GIS) software.
Northeast Pacific Monthly-Mean Ocean Current Climatology (April - September)
This dataset provides 1/36-degree monthly-mean ocean current climatology (April - September) in the Northeast Pacific. The climatological fields are derived from hourly ocean currents for the period from 1993 to 2020, simulated using a high-resolution Northeast Pacific Ocean Model (NEPOM).
Northeast Pacific Monthly Mean Ocean Current Climatology (October - March)
This dataset provides 1/36-degree monthly mean ocean current climatology (October - March) in the Northeast Pacific. The climatological fields are derived from hourly ocean currents for the perid from 1993 to 2020, simulated using a high-resolution Northeast Pacific Ocean Model (NEPOM).
Daily snow cover fraction maps over Canada of the period of 2006-2010 from 1km resolution NOAA AVHRR imagery
This dataset corresponds to daily snow cover percentage at 1km resolution grid over land areas of Canada from 2006-2010. The data are subsampled by 4km to reduce data volumes and considering the geolocation uncertainty of the input satellite imagery. The daily maps are generated by assimilation of daily cloud screened NOAA AVHRR satellite imagery and Canadian Meteorological Centre (CMC) snow depth analysis snow depth and density fields within an off-line version of the CMC daily snow depth model. The snow depth model is modified to include snowpack reflectance model and a surface radiative transfer scheme that relates vegetation and snowpack reflectance to top-of-canopy bi-directional reflectance. A logistic vegetation phenology model is used to parameterize temporal dynamics of canopy leaf area index. A per-pixel particle filter with a 30 day moving window is applied to assimilation observations corresponding to 1km resolution visible band directional reflectance and normalized difference vegetation index and 24km CMC daily snow depth and monthly snow density fields. The assimilation is forced using daily air temperature and precipitation fields. Validation of the datasets has been performed by comparison to MODIS snow cover maps and in-situ snow depth stations across Canada. Validation suggests similar accuracy to MODIS snow cover products over relatively flat terrain. Validation over mountainous regions is ongoing.
Sponge Fields in the Gulf (Campelen Trawl Sample)
Polygons denoting concentrations of sea pens, small and large gorgonian corals and sponges on the east coast of Canada have been identified through spatial analysis of research vessel survey by-catch data following an approach used by the Northwest Atlantic Fisheries Organization (NAFO) in the Regulatory Area (NRA) on Flemish Cap and southeast Grand Banks. Kernel density analysis was used to identify high concentrations and the area occupied by successive catch weight thresholds was used to identify aggregations. These analyses were performed for each of the five biogeographic zones of eastern Canada. The largest sea pen fields were found in the Laurentian Channel as it cuts through the Gulf of St. Lawrence, while large gorgonian coral forests were found in the Eastern Arctic and on the northern Labrador continental slope. Large ball-shaped Geodia spp. sponges were located along the continental slopes north of the Grand Banks, while on the Scotian Shelf a unique population of the large barrel-shaped sponge Vazella pourtalesi was identified. The latitude and longitude marking the positions of all tows which form these and other dense aggregations are provided along with the positions of all tows which captured black coral, a non-aggregating taxon which is long-lived and vulnerable to fishing pressures.These polygons identify sponge grounds from the broader distribution of sponges in the Northern Gulf region as sampled by Campelen gear in the Gulf biogeographic zone. A 2 kg minimum threshold for the sponge catch was identified as the weight that separated the sponge ground habitat from the broader distribution of sponges with these research vessel tow data and gear type.
Geophysics Residual Magnetic Total Fields - 50m
The Yukon is underlain by a great variety of rock types ranging in age from Early Proterozoic to Recent. The various rock types are characterized by different magnetic intensity and this map shows those variations at the regional scale, with highly magnetic rocks represented by warm colours and non-magnetic rocks shown in cool colours. The Residual Total Field magnetic map shows a measure of the total magnetic intensity in the Earth's crust. This magnetic compilation was extracted from the compilation of Oneschuk et al. (2019). The data was gridded at 50 m.Magnetic data for Yukon can be obtained from: [http://gdrdap.agg.nrcan.gc.ca/](http://gdrdap.agg.nrcan.gc.ca/)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)
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