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We have found 298 datasets for the keyword " databases". You can continue exploring the search results in the list below.
Datasets: 106,031
Contributors: 42
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298 Datasets, Page 1 of 30
Canada groundwater wells, integrated national, provincial and territorial dataset
This layer comprises all the available water wells in GIN (Yukon, British Columbia, Alberta, Saskatchewan, Manitoba, Ontario, Quebec, Nova Scotia and Newfoundland and Labrador) and published through the open data platforms. This layer is a combination of all individual provincial and territorial layers. The original databases are dynamically converted by an automatic process managed by Natural Resources Canada (Groundwater Information Network).
Known BC Fish Observations and BC Fish Distributions
This point location dataset of fish observations is a regularly updated compilation of BC fish distribution information taken from a combination of all the official provincial databases including the BC Fisheries Information Summary System (FISS). Fish occurrences in this dataset represent the most current and comprehensive information source on fish presence for the province.
Ontario Dam Inventory
The Ontario Dam Inventory (ODI) is an inventory of medium and large dams throughout Ontario. It uses a point-based system (x, y location) to identify each dam location. The ODI does not contain: * small dams * small water control structures * beaver dams * water crossings * road embankments * locks * falls * rapids * culverts Each dam location has an identifier that can be used to link to other dam information databases.
In-filled Climate Data
The Ontario in-filled climate data collection includes information from 339 monitoring stations maintained by the Meteorological Service of Canada. Historical climate data commonly has missing hourly and daily records due to equipment malfunctions, temporary site maintenance or other reasons. “In-filling” is a technical process that draws on data from nearby stations to fill in these missing records. This collection contains fully in-filled precipitation and temperature records for Ontario from 1950 to 2005. It is organized into eight separate databases in Microsoft Access format. One of the databases contains daily in-filled climate records. The remaining seven databases contain hourly in-filled climate records divided into regions for manageability.
Map Labels - CanVec Series - Toponymic Features
The toponymic features of the CanVec series include proper nouns designating places and representations of the territory. This data come from provincial, territorial and Canadian toponymic databases. They are used in the CanVec Series for cartographic reference purposes and vary according to the scale of display. The toponymic features of the CanVec series can differ from the Canada's official geographical names.The CanVec multiscale series is available as prepackaged downloadable files and by user-defined extent via a Geospatial data extraction tool. Related Products (Open Maps Links):[Topographic Data of Canada - CanVec Series](https://open.canada.ca/data/en/dataset/8ba2aa2a-7bb9-4448-b4d7-f164409fe056)Users can obtain information about Canada's official toponyms at: **[Geographical names in Canada](https://www.nrcan.gc.ca/maps-tools-publications/maps/geographical-names-canada/10786)**
Potential wetlands
The 2023 mapping of potential wetlands in Quebec (CMHPQ) 2023, released by the Directorate of Ecological Knowledge (DCE), provides up-to-date information on the potential presence of wetlands for the entire province of Quebec. In particular, version 2023 contains the classification of potentially humid geographical entities according to a selected typology and the assignment of a level of confidence associated with each entity and integrates new data sources. This mapping is an aggregation of different databases produced for other purposes and at different scales. The result of this assembly depends on the precision and accuracy of each of the data sources used. This data must be used while remaining vigilant with regard to their potential and limitations.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Seamounts of the Northeast Pacific Ocean
Seamounts have been identified as Ecologically or Biologically Significant Areas (EBSAs) due to their unique oceanography and ecology; they frequently serve as sites for fisheries and as habitat for a number of species of conservation concern. A mix of isolated seamounts and seamount complexes are distributed throughout Canada’s Pacific offshore waters, although only a subset of these are named. We used several pre-existing spatial databases and predictive models to map all named seamounts within Canada’s Exclusive Economic Zone (EEZ), all named seamounts fished by Canada in international waters, and any predicted (modelled) unnamed seamounts in the EEZ. These data are intended to inform marine planning initiatives in BC by providing collaborative, peer-reviewed scientific data at scales relevant to a BC coast-wide analysis.
Open Database of Healthcare Facilities
The Open Database of Healthcare Facilities (ODHF) is a collection of open data containing the names, types, and locations of health facilities across Canada. It is released under the Open Government License - Canada.The ODHF compiles open, publicly available, and directly-provided data on health facilities across Canada. Data sources include regional health authorities, provincial, territorial and municipal governments, and public health and professional healthcare bodies. This database aims to provide enhanced access to a harmonized listing of health facilities across Canada by making them available as open data. This database is a component of the Linkable Open Data Environment (LODE).
Sites Registry (Open Government Licence)
This dataset is a subset of the Sites Registry dataset. The Sites Registry is a collection of locations that are important to government carrying out its business, including sharing information with citizens. Most locations have civic addresses and are government offices or facilities, e.g. hospitals, schools, post-secondary institutions, court houses, tourism centres. It is comprised of all sites licensed under the Open Government Licence – British Columbia. For more information see the [Sites Registry](https://catalogue.data.gov.bc.ca/dataset/5476ee87-0f59-4614-abf0-e653b4702aeb) catalogue record.
Orthoimages of Canada, 1999-2003
This collection is a legacy product that is no longer supported. It may not meet current government standards.This inventory presents chronologically the satellite images acquired, orthorectified and published over time by Natural Resources Canada. It is composed of imagery from the Landsat7 (1999-2003) and RADARSAT-1 (2001-2002) satellites, as well as the CanImage by-product and the control points used to process the images.Landsat7 Orthorectified Imagery: The orthoimage dataset is a complete set of cloud-free (less than 10%) orthoimages covering the Canadian landmass and created with the most accurate control data available at the time of creation.RADARSAT-1 Orthorectified Imagery: The 5 RADARSAT-1 images (processed and distributed by RADARSAT International (RSI) complete the landsat 7 orthoimagery coverage. They are stored as raster data produced from SAR Standard 7 (S7) beam mode with a pixel size of 15 m. They have been produced in accordance with NAD83 (North American Datum of 1983) using the Universal Transverse Mercator (UTM) projection. RADARSAT-1 orthoimagery were produced with the 1:250 000 Canadian Digital Elevation Data (CDED) and photogrammetric control points generated from the Aerial Survey Data Base (ASDB).CanImage -Landsat7 Orthoimages of Canada,1:50 000: CanImage is a raster image containing information from Landsat7 orthoimages that have been resampled and based on the National Topographic System (NTS) at the 1:50 000 scale in the UTM projection. The product is distributed in datasets in GeoTIFF format. The resolution of this product is 15 metres.Landsat7 Imagery Control Points: the control points were used for the geometric correction of Landsat7 satellite imagery. They can also be used to correct vector data and for simultaneously displaying data from several sources prepared at different scales or resolutions.
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