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We have found 13 datasets for the keyword "acidic". You can continue exploring the search results in the list below.
Datasets: 101,361
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13 Datasets, Page 1 of 2
The Acidic Precipitation in Ontario Study (A.P.I.O.S.)
The Acidic Precipitation in Ontario Study (A.P.I.O.S.) was established in 1979 by the Ontario Ministry of the Environment to protect the environment from the detrimental effects of acidic deposition and determine the effects of acidic deposition on terrestrial ecosystems. The effect of acid inputs on the environment depends on the quantity and acidity of atmospheric inputs, and the buffering capacity of the terrestrial and aquatic ecosystems. The effect of acidic precipitation on soil is potentially significant because the soil is the reservoir of plant nutrients and the source of much of the water for aquatic systems. Changes in the soil's chemistry may therefore be reflected in both the terrestrial and aquatic environments. Information on the effects of acidic precipitation on soils is available from effects near point sources of pollution, from experimentation with simulated rain solutions, from natural changes observed in soil over time, and from models and soil forming theories. Anticipated effects of soil acidification include: reduced pH, leaching of basic cations (such as magnesium and calcium) and other exchangeable plant nutrients, reduction in base saturation and cation-exchange capacity, mobilization of soil-bound metals such as aluminum, and changes in biological activity such as decreased nitrification and soil respiration. The principal objective of the baseline program is to establish a uniform data base for soils across the province. This data base * provides current data to identify future trends, * enables the development of laboratory experiments which define soil sensitivity criteria to acidic precipitation, and * provides information required for sensitivity mapping of soils throughout Ontario.
Releases of harmful substances to water - Releases of arsenic to water by facility
The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. These indicators track facility-based releases to water of 4 substances that are defined as toxic under the Canadian Environmental Protection Act, 1999: mercury, lead, cadmium and arsenic and their compounds. For each substance, data are provided at the national, regional (provincial and territorial) and facility level, as well as by source. The indicators inform Canadians about releases to water of these 4 substances from facilities in Canada. The Releases of harmful substances to water indicators also help the government to identify priorities and develop or revise strategies to inform further risk management and to track progress on policies put in place to reduce or control these 4 substances and water pollution in general.Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators
Emissions of harmful substances to air – Arsenic emissions to air by facility
The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. These indicators track human-related emissions to air of 3 substances (mercury, lead and cadmium) and facility-based emissions to air of 1 substance (arsenic). The 4 substances are defined as toxic under the Canadian Environmental Protection Act, 1999. For each substance, data are provided at the national, regional (provincial and territorial) and facility level, and by source. Global emissions data are also provided for mercury. The indicators inform Canadians about emissions of mercury, lead and cadmium to air from human activity and emissions of arsenic from facility-based reporting in Canada. These indicators also help the government to identify priorities and develop or revise strategies to inform further risk management and to track progress on policies put in place to reduce or control these 4 substances and air pollution in general. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators
Forest Disease Damage Event
Data show where pathogens - fungal, bacillial or viral - have caused damage by reducing growth rates, tree vigor or have killed trees. Examples of forest diseases include White Pine Blister Rust, Armillaria Root Rot etc. The Government of Ontario tracks forest damage events to help proactively manage the detrimental effects to our forests. We monitor the threat and spread of invasive forest pest insect species in Ontario. The data is also important to the Forest Management Planning process in calculating timber volume loss within affected areas. This product requires the use of geographic information system (GIS) software.
Organic Matter Content of Cultivated Soils
This map displays the percentage of organic matter in the surface layer of cultivated soils in the agricultural region of Alberta. Soil organic matter (SOM) is derived primarily from the decomposition of plant biomass. SOM improves both the physical and chemical properties of soil and has beneficial effects on agricultural soil quality. SOM is reported on the map as a percentage using the following classes: less than 2 (very low), 2 to 4 (low), 4 to 6 (medium), 6 to 8 (high) and greater than 8 (very high).This resource was created in 2002 using ArcGIS.
Laboratory Services in BC
Programs that perform a laboratory analysis of body fluids and tissue to determine the presence of irregularities or to identify unknown substances submitted for analysis. Definition is protected by Copyright by Information and Referral Federal of Los Angeles County, Inc (https://211taxonomy.org/subscriptions/#agreement)
FADM - Mountain Pine Beetle Salvage Area
Area delineating the Mountain Pine Beetle Salvage area
Kimberlite Indicator Mineral Analyses
This dataset represents locations, descriptions, and geochemical analyses of samples contained in the Kimberlite Indicator Mineral Surveys database.This dataset represents Kimberlite Indicator Mineral Analyses locations in the province of Saskatchewan. This dataset was compiled using Assessment File data, samples from many years of field mapping which were integrated into this dataset. The data was then created as a file geodatabase feature class and output for public distribution. **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.
Forest Total Aboveground Biomass 2015
Forest Total Aboveground Biomass 2015Total aboveground biomass. Individual tree total aboveground biomass is calculated using species-specific equations. In the measured ground plots, aboveground biomass per hectare is calculated by summing the values of all trees within a plot and dividing by the area of the plot. Aboveground biomass may be separated into various biomass components (e.g. stem, bark, branches, foliage) (units = t/ha). Products relating the structure of Canada's forested ecosystems have been generated and made openly accessible. The shared products are based upon peer-reviewed science and relate aspects of forest structure including: (i) metrics calculated directly from the lidar point cloud with heights normalized to heights above the ground surface (e.g., canopy cover, height), and (ii) modelled inventory attributes, derived using an area-based approach generated by using co-located ground plot and ALS data (e.g., volume, biomass). Forest structure estimates were generated by combining information from lidar plots (Wulder et al. 2012) with Landsat pixel-based composites (White et al. 2014; Hermosilla et al. 2016) using a nearest neighbour imputation approach with a Random Forests-based distance metric. These products were generated for strategic-level forest monitoring information needs and are not intended to support operational-level forest management. All products have a spatial resolution of 30 m. For a detailed description of the data, methods applied, and accuracy assessment results see Matasci et al. (2018). When using this data, please cite as follows: Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018b. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment 216, 697-714. Matasci et al. 2018)Geographic extent: Canada's forested ecosystems (~ 650 Mha)Time period: 1985–2011
Mining Regions
The spatial representation of the 5 Mining Regions for the Ministry of Energy, Mines and Low Carbon Innovation (EMLI). These administrative boundaries are derived from the 8 __[Natural Resource (NR) Regions](https://catalogue.data.gov.bc.ca/dataset/dfc492c0-69c5-4c20-a6de-2c9bc999301f)__ (https://catalogue.data.gov.bc.ca/dataset/dfc492c0-69c5-4c20-a6de-2c9bc999301f).
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