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inlandWaters

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    Hydrography (HY) Iceland is one of 12 themes in the European Location Project (ELF). The purpose of ELF is to create harmonised cross-border, cross-theme and cross-resolution pan-European reference data from national contributions. The goal is to provide INSPIRE-compliant data for Europe. A description of the ELF (European Location Project) is here: http://www.elfproject.eu/content/overview Encoding: INSPIRE version 4

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    Province-wide SDE layer showing licensed water sources (streams and lakes), under the Water Act, (current and historical), not captured (displayed) on TRIM base mapping (or Freshwater Atlas base mapping). Includes an attribute for the internal Source Code number, which is associated with the (E-Licensing) stream name.

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    One of the spatial views of the BC WATERSHED ATLAS 50K, which is the digital basemap representation of the aquatic Man-made waterbodies, Wetlands and Double-line Rivers based on the 1:50,000 scale Canadian National Topographic Series of Maps.

  • Water composition is defined by measuring the amounts of its various constituents; these are often expressed as milligrams of substance per litre of water (mg/L). Sampling methods vary according to the types of analysis. Dataset point: The dataset represents a general description of the sample, including name, ID, type of analysis and lab. It includes numbers describing the results of the analysis and physical properties of groundwater. Time series: The dataset represents a general description of the sample, including name, ID, type of analysis and lab. It includes series of numbers describing the results of the analysis and physical properties of groundwater with associated date. Dynamic values over time at the same sites provides temporal variation data of groundwater composition.

  • Groundwater samples have been collected in the hydrogeological unit, for various types of analysis. The dataset is not used to represent a particular phenomenon or observation but rather as a utility dataset to add context and reference to groundwater analysis. It represents a general description of the sample site and sample. Sampling methods vary according to the types of analysis.

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    The "Total Effective Drainage Areas of the AAFC Watersheds Project – 2013” dataset is a geospatial data layer containing polygon features representing the areas within the “total gross drainage areas” of each hydrometric gauging station of the Agriculture and Agri-Food Canada (AAFC) Watersheds Project that would contribute to average runoff. A ‘total gross drainage area’ is the maximum area that could contribute runoff for a single gauging station – the ‘total effective drainage areas’ are those parts of that ‘total gross drainage area’ that would contribute surface runoff to an average runoff. For each “total gross drainage area” there can be only one “total effective drainage areas”. These polygons may overlap with those from other gauging stations’ “total gross drainage area”, as upstream land surfaces form part of multiple downstream gauging stations’ “total gross drainage areas”.

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    Temporal patterns in % abundance of Atlantic salmon, brown trout, and anadromous Arctic charr from catch statistics in northern Norway rivers monitored from 1993 to 2016, including basins dominated by (a) rivers and (b) lakes. State of the Arctic Freshwater Biodiversity Report - Chapter 4 - Page 81- Figure 4-42

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    Vatnsföll eru gjarnan flokkuð í þrjá flokka, dragár, lindár og jökulár eftir rennslisháttum. Mörg eru vatnsföllin þó af blönduðum uppruna vegna margbreytileika vatnasviða þeirra. Gagnasettið sýnir greiningu vatnasvæða í vatnafarsflokka, eftir því hvernig svæðið bregst við úrkomu og miðlar henni, og rennslisháttum vatnsfalla sem eiga uppruna sinn á viðkomandi svæði.

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    Watershed polygons of Third Order and greater based on the Strahler Stream Order classification method and the 1:50,000 scale Canadian National Topographic Series of maps.

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    Although the circumpolar countries endeavor to support monitoring programs that provide good coverage of Arctic and subarctic regions, this ideal is constrained by the high costs associated with repeated sampling of a large set of lakes and rivers in areas that often are very remote. Consequently, freshwater monitoring has sparse, spatial coverage in large parts of the Arctic, with only Fennoscandia and Iceland having extensive monitoring coverage of lakes and streams Figure 6-1 Current state of monitoring for lake FECs in each Arctic country. State of the Arctic Freshwater Biodiversity Report - Chapter 6 - Page 93 - Figure 6-1