The data represents the relative cultivation intensity in the agricultural area of Alberta. Cultivation intensity refers to the frequency of cultivation associated with the following management systems: no till, conventional tillage and summerfallow. It is an estimate of the degree to which cultivation contributes to wind and water erosion. The classes shown on the map are ranked between 0 (lowest) and 1 (highest).This map was created in 2002 using ArcGIS.

A Yukon-wide compilation of 1102 till geochemistry samples collected during 4 regional till sampling surveys conducted by Yukon Geological Survey in the Faro/Anvil Range, Weasel Lake, Finlayson Lake and Glenlyon/East Carmacks areas between 1998 and 2002. Complete analytical results for more than 40 elements are included in the attribute table for each sample.

To support improved groundwater geoscience knowledge for southern Ontario, a regional 3-D model of the surficial geology of southern Ontario has been developed as a part of a collaboration between the Ontario Geological Survey and the Geological Survey of Canada. Covering approximately 66,870 km2 in area, the model is a synthesis of existing geological models, surficial geology mapping, and subsurface data. The model is a simplified 9-layer reclassification of numerous mapped local surficial sediment formations in places over 200 m thick with a total volume of approximately 2,455 km3. The model integrates 1:50,000 scale surficial geology mapping with 90 m bathymetrically corrected topographic digital elevation model (DEM) and 8 existing local 3-D models. Archival subsurface data include 10,237 geotechnical and stratigraphic boreholes, 3,312 picks from geophysical surveys, 15,902 field mapping sites and sections, 537 monitoring and water supply wells and 282,995 water well records. Roughly corresponding to regional aquifer and aquitard layers, primary model layers are (from oldest to youngest): Bedrock, Basal Aquifer, Lower Sediment, Regional Till, Post Regional Till Channel Fill, Glaciofluvial Sediment, Post Regional Till Mud, Glaciolacustrine Sand and Recent Sediment / Organics. Modelling was completed using an implicit modelling application (LeapFrog®) complemented by an expert knowledge approach to data classification and rules-based Expert System procedure for data interpretation and validation. An iterative cycle of automated data coding, intermediate model construction and manual data corrections, expert evaluations, and revisions lead to the final 3-D model. A semi-quantitative confidence assessment has been made for each model layer surface based on data quality, distribution and density. This surficial geology model completes the development of a series of regional 3-D geological and hydrogeological models for southern Ontario.

This dataset compiles information and photographs collected at 49 observation stations during a field campaign conducted from July 31 to August 11, 2025, in the central part of the Kivalliq region. It includes the locations of sites where ice-flow indicators were measured, along with their relative chronology where it could be determined in the field.It also includes the locations of till sampling sites collected for geochemical and indicator mineral analyses, as well as sites where boulders and bedrock surfaces were sampled for terrestrial cosmogenic isotope dating.Analytical results and interpretations will be presented in subsequent publications.

This layer contains point features that represent New Brunswick Geological Survey till sample locations where laboratory grain size analysis was completed. Grain size data are contained in the attribute data for each location.Grain size analysis is limited to the dry-sieved <2 mm fraction of collected till samples. This fraction of the till sediment is subjected to hydrometer grain size analysis to determine the percentages of sand, silt, and clay. The process is based on the hydrometer method of Bouyoucous 1962.Sand: 63 µm to 2 mmSilt: 2µm to 63 µmClay: < 2 µmBouyoucous, G.H. (1962) Hydrometer Method Improved for Making Particle Size Analysis of Soils. Agronomy Journal, 54, 464-465

This layer contains point features that represent New Brunswick Geological Survey till sample locations where laboratory grain size analysis was completed. Grain size data are contained in the attribute data for each location.Grain size analysis is limited to the dry-sieved <2 mm fraction of collected till samples. This fraction of the till sediment is subjected to hydrometer grain size analysis to determine the percentages of sand, silt, and clay. The process is based on the hydrometer method of Bouyoucous 1962.Sand: 63 µm to 2 mmSilt: 2µm to 63 µmClay: < 2 µmBouyoucous, G.H. (1962) Hydrometer Method Improved for Making Particle Size Analysis of Soils. Agronomy Journal, 54, 464-465

The Ocean Data Inventory database is an inventory of all of the oceanographic time series data held by the Ocean Science Division at the Bedford Institute of Oceanography. The data archive includes about 5800 current meter and acoustic doppler time series, 4500 coastal temperature time series from thermographs, as well as a small number (200) of tide gauges. Many of the current meters also have temperature and salinity sensors. The area for which there are data is roughly defined as the North Atlantic and Arctic from 30° - 82° N, although there are some minor amounts of data from other parts of the world. The time period is from 1960 to present. The database is updated on a regular basis.

* This dataset is updated on a daily basis. The ‘Record Modified’ date refers to the last metadata update.This dataset contains the extent of mineral claims held in Nunavut. A mineral claim is an area of Crown Land that is selected using the Nunavut Map Selection system by an individual or mineral exploration company that holds a valid licence to prospect. This grants the individual or mineral exploration company the mineral rights to the recorded area as provided for under the Nunavut Mining Regulations, SOR/2014-69. If the holder of a mineral claim wishes to produce minerals from the claim, or to hold it for more than thirty years, the holder must apply for a lease of the claim. This digital coverage provides a record and tracking mechanism for mining exploration in Nunavut.For more information, visit https://www.rcaanc-cirnac.gc.ca/eng/1100100036000/1547749889500. Note: This is one of the four (4) datasets that describe mineral tenure in Nunavut. It includes mineral claims, mining leases, prospecting permits as well as coal exploration licences.

This dataset is a locational record of the meteorological input files publically available on Saskatchewan GeoHub that can be used with the Environmental Protection Agency approved Regulatory Model (AERMOD). Each file represents the meteorology over an area of the province while minimizing the influences of local terrain on air flow. Additional attribute information for each location includes coordinates and a link to download the AERMOD data as a zip file.The Air Quality Section of the Ministry of Environment uses air quality modelling to simulate how air pollutants disperse in the ambient atmosphere in order to help manage the air quality in the province. The models are used to estimate the impact of air pollutants emitted from emission sources, and are typically employed to determine whether existing or new proposed industrial facilities are or will be in compliance with the ambient air quality standards outlined in Table 20 of the province's Environmental Code, June 1, 2015 under The Environmental Management and Protection Act, 2010.  The information needed to run dispersion models consists primarily of emissions and meteorological data. Five years (2012-2016) of preprocessed meteorological datasets in an AERMOD ready format is publicly available. This file is contained in the downloadable zipped file. The zipped file contains five files: the SFC and PFL files are the AERMOD ready files required to run AERMOD (i.e., data, sensible heat flux, frictional velocity, potential temperature gradient, vertical velocity, mixing height, monin-obukhov length, surface roughness, Bowen ratio, albedo, scalar wind speed, wind direction, ambient temperature, precipitation, precipitation rate, relative humidity, surface pressure, and total cloud amounts); the DAT file contains the land use information (i.e., Surface roughness, Bowen ratio and albedo) chosen for each month in the SFC file; the KMZ file contains the wind rose for that location which can be used on Google Earth; and the PNG file contains various graphs of monthly or diurnal meteorological distribution (i.e., temperature, wind speed, daytime mixing heights and sensible heat flux, and stability) which can be used to help determine if that location is representative of the area proposed for modelling.  Please note: Since this data is newly developed, it is possible there may be issues with the data as it gets used in more applications. Ongoing changes, edits and updates may be made by the Air Quality Section of the Ministry of Environment. Is is recommended for any future modelling to download the latest version of the input files and not archive any input files on your own server for future use, unless this notification no longer exists. If there are any issues discovered with data in the zipped file, please contact Dennis Fudge at dennis.fudge@gov.sk.ca or at 306-519-7105. Your support will be greatly appreciated.  There may be times you feel that the input files are not representative of the proposed modelling domain due to the surrounding features (i.e., forest/agricultural or rural/urban) being different than those used to generate the input files. If that is the case, the modeler can generate the input modelling files themselves. The relevant files to generate these input files are available upon request. Please contact Dennis Fudge at dennis.fudge@gov.sk.ca or at 306-519-7105. 

Temperature logger data was collected from two Vemco miniloggers attached to range-testing moorings for an array of acoustic receivers at a depth of approximately 300 metres in the Gully MPA. The data covers 2021 through 2022.Cite this data as: Jeffery, N., Heaslip, S., and Stanley, R. Data of: Benthic temperature data from the Gully MPA. Published: June 2023. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/900c02b2-7eb7-48e3-8b3e-c3e65c99a8e6