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66 results for “Arctic Water”
Water chemistry data for various lakes near Toolik Research Station, Arctic LTER. Summer 2010 to 2021
Note: Corrections were made to Particulate phosphorus values. See version 5 notes. Decadal file describing the water chemistry in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 2010 to 2021. Chemical analyses were conducted on samples from various depths in the sample lakes either once, or multiple times during the spring, summer and fall months (May to September). Chemical analyses for the samples include alkalinity, dissolved organic and inorganic carbon, inorganic and total dissolved nutrients, particulate carbon, nitrogen and phosphorous, cations and anions.
Steady state carbon, nitrogen, phosphorus, and water budgets for twelve mature ecosystems ranging from prairie to forest and from the arctic to the tropics
We use the Multiple Element Limitation (MEL) model to examine the responses of twelve ecosystems - from the arctic to the tropics and from grasslands to forests - to elevated carbon dioxide (CO2), warming, and 20% decreases or increases in annual precipitation. The ecosystems we simulated include moist acidic tundra, shrub tundra, and wet sedge tundra near Toolik Lake, Alaska, alpine dry meadow tundra near Niwot Ridge, Colorado, restored tallgrass prairie near Kellogg Biological Station, Michigan, native tallgrass prairie at the Konza Prairie, Kansas, upland and lowland boreal forest near Bonanza Creek, Alaska, temperate coniferous forest in HJ Andrews Experimental Forest, Oregon, a northern hardwood forest in Hubbard Brook Experimental Forest, New Hampshire, a transition oak-maple forest in Harvard Forest, Massachusetts, and lowland tropical rainforest near Caxiuanã National Forest, Pará, Brazil. For each of the twelve sites, we run six 100-year simulations beginning from the calibrated steady state (72 simulations total). The six simulations are: (1) increasing CO2 from 400 to 800 μmol mol-1, (2) warming from current temperatures to current plus 3.5oC, (3) decreasing precipitation from 100% to 80% of the current annual rate, (4) increasing precipitation from 100% to 120% of the current annual rate, (5) doubling of CO2, 3.5oC warming, and 20% decrease in precipitation, and (6) doubling of CO2, 3.5oC warming, and 20% increase in precipitation. The carbon, nitrogen, phosphorus, and water budgets presented here are used to calibrate the MEL model prior to running the climate change simulations. Citations and calculations for the data presented here are described in the individual site html files included in this dataset.
Data for article: Microplastics in Arctic Waters of the Finnish Sámi Area
<p><strong>Description of the dataset:</strong></p> <p>This dataset was created in 2021 and 2023. It was first made open in 2023 and later updated in 2024. </p> <p>Lapland_Sampling.xlsx contains all sampling dates and coordinates alongside with sample names, volumes, area descriptions and codes used to describe the samples in the article. </p> <p>Lapland_RawData.xlsx contains all the raw data for all the samples. This includes polymer types, particle sizes and an estimation of particle mass. Furthermore, the file contains a table with all the polymer types and their counts from all samples. </p> <p> </p> <p><strong>Data creation and processing:</strong></p> <p>The raw data was created by measuring filtered water samples with FPA-FTIR . The spectral analysis was done with siMPle (Primpke et al. 2020, <em>Applied Spectroscopy</em>, 74, 1127-1138, <a href="https://doi.org/10.1177/0003702820917760">https://doi.org/10.1177/0003702820917760</a>).</p> <p> </p>
Bottom water acidification and warming on the western Eurasian Arctic shelves: Dynamical downscaling projections. Data archive.
<p>This archive includes one .mat file (MATLAB format) containing all the data and interpolated SINMOD model used for skill assessment and bias correction, and several NetCDF files containing the SINMOD SRES A1B projections (bias corrected where possible) for the bottom water in the pan-Arctic model domain for years 2001-2099 inclusive. Temporal resolution is biweekly and spatial resolution is 20km (see grid info in NetCDF files).</p>
Water Body Checklists 2019: Arctic Ocean Species List
Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.<p></p>List of species collected from the Arctic Ocean region using effechecka and modified polygons from the International Hydrographic Organization.
Water Body Checklists: Arctic Ocean Species List
Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.<p></p>List of species collected from the Arctic Ocean region using effechecka and modified polygons from the International Hydrographic Organization.
Water chemistry data for various lakes near Toolik Research Station, Arctic LTER. Summer 2000 to 2009.
Decadal file describing the water chemistry in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 2000 to 2009. Chemical analyses were conducted on samples from various depths in the sample lakes either once, or multiple times during the spring, summer and fall months (May to September). Chemical analyses for the samples include alkalinity, dissolved organic and inorganic carbon (DIC/DOC), inorganic and total dissolved nutrients (NH4, PO4, NO3, TDN, TDP), particulate carbon, nitrogen and phsphorous (PC, PN, PP), cations (Ca, Mg, K, Na and Si) and anions (SO4, Cl). See methods for the yearly datsets which were combined into this data set.
Water chemistry data for various lakes near Toolik Research Station, Arctic LTER. Summer 1990 to 1999.
Decadal file describing the water chemistry in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 1990 to 1999. Chemical analyses were conducted on samples from various depths in the sample lakes either once, or multiple times during the spring, summer and fall months (May to September). Chemical analyses for the samples include alkalinity, dissolved organic and inorganic carbon (DIC/DOC), inorganic and total dissolved nutrients (NH4, PO4, NO3, TDN, TDP), particulate carbon, nitrogen and phsphorous (PC, PN, PP), cations (Ca, Mg, K, Na and Si) and anions (SO4, Cl). See methods for the yearly datsets which were combined into this data set.
Water chemistry data for various lakes near Toolik Research Station, Arctic LTER. Summer 1983 to 1989.
Decadal file describing the water chemistry in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 1983 to 1989. Chemical analyses were conducted on samples from various depths in the sample lakes either once, or multiple times during the spring, summer and fall months (May to September). Chemical analyses for the samples include alkalinity, dissolved organic and inorganic carbon (DIC/DOC), inorganic and total dissolved nutrients (NH4, PO4, NO3, TDN, TDP), particulate carbon, nitrogen and phosphorous (PC, PN, PP), cations (Ca, Mg, K, Na and Si) and anions (SO4, Cl). See methods for the yearly datasets which were combined into this data set.
The role of down-slope water and nutrient fluxes in the response of Arctic hill slopes to climate change, output from MBLGEMIII for typical tussock-tundra hill slope near Toolik Field Station, Alaska.
Output data sets of the MBL-GEM III model for a typical tussock-tundra hill slope. The model is described in two papers: Le Dizès, S., Kwiatkowski B.L., Rastetter E.B., Hope A., Hobbie J.E., Stow D., Daeschner S., 2003 Modelling biogeochemical responses of tundra ecosystems to temporal and spatial variations in climate in the Kuparuk River Basin (Alaska), Journal of Geophysical Research Vol. 108 No. D2 10.1029/2001JD000960. Rastetter, E.B., B. L. Kwiatkowski, S. Le Dizès, and J.E. Hobbie. 2004. The Role of Down-Slope Water and Nutrient Fluxes in the Response of Arctic Hill Slopes to Climate Change. Biogeochemistry 69:37-62.
Data published in manuscript "Effects of reversal of water flow in an Arctic floodplain river on fluvial emissions of CO2 and CH4" by Castro-Morales et al.
<p>This data is published in the manuscript<strong>:</strong></p> <p>Castro-Morales, K., Canning, A., Körtzinger, A., Göckede, M., Küsel, K., et al. (2022). Effects of reversal of water flow in an Arctic floodplain river on fluvial emissions of CO<sub>2</sub> and CH<sub>4</sub>. <em>Journal of Geophysical Research: Biogeosciences</em>, 127, e2021JG006485. <a href="https://doi.org/10.1029/2021JG006485">https://doi.org/10.1029/2021JG006485</a>.</p> <p>The data contains the water properties and gases data measured at a site in Ambolikha River, meteorological data measured at an eddy covariance tower located in the neighbor floodplain, and data from the analysis of dissolved organic matter in river water samples. The data was collected between 26 June, 2019 and 02 August, 2019.<strong> </strong></p> <p>This folder contains four data files and the file "README_Data_access_Castro-Morales_etal_Ambolikha_River.txt" should be read before accessing the data. The authors recommend downloading Version 2.0 because it is the most up to date data.</p> <p>For questions contact the main and corresponding author Dr. Karel Castro-Morales at: karel.castro.morales@uni-jena.de</p>
Virtual stations (TeroVIR ) and water level time series (TeroWAT) in West Africa and Arctic regions
<p>The dataset contains a sample of locations across Siberia and Africa, for which water-level time series were automatically derived from Sentinel-3 altimeters (methodology described in Machefer et al. 2022<sup>1</sup>) from year 2016 to year 2021, together with the in-situ station records and the area covered by the altimetry measurements. The purpose of this dataset is validation and exemplification of the methodology. </p> <p>The methodology described produces comprehensive water level records at a global scale based on altimetry satellite data. The validation against in-situ data was assessed in numerous environments in West Africa and complex locations such as Arctic rivers partially covered with ice.<br> <br> This dataset offers a sample of the records at 3 locations in West Africa (Kemacina [Mali], Koulikouro [Mali], Lokoja [Niger]) and in the sub-arctic region (Yakutsk [Russia]). The data are organised by Level 1 of <a href="http://www.hydrosheds.org/">HydroBASINS</a><sup>2 </sup>definition (ex: africa) in two folders, each containing: virtual stations (teroVIR) and insitu stations (insitu) as shapefiles with their associated metadata, the corresponding water level time series (teroWAT) in NetCDF, and the level 3 of HydroBASINS, corresponding to the largest river basins of each continent. Finally, a csv file (validation) presents the computed metrics assessing the accuracy of the processors.</p> <p>N.B.: time series with less than two common date points between insitu and teroWAT have not been assessed. </p> <p>[1] Machefer, M., Perpinyà-Vallès M., Escorihuela M.J., Gustafsson D., Romero L. (2022): Challenges and evolution of water level monitoring towards a comprehensive, world-scale coverage with remote sensing. Earth System Science Data (Under Reviewing)</p> <p>[2] Lehner, B., Grill G. (2013): Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrological Processes, 27(15): 2171–2186. Data is available at www.hydrosheds.org.</p>
Figure 9. Derogenes varicus sensu lato. A in Untangling the Derogenes varicus species complex in Scandinavian waters and the Arctic: description of Derogenes abba n. sp. (Trematoda, Derogenidae) from Hippoglossoides platessoides and new host records for D. varicus (Müller, 1784) sensu stricto
Figure 9. Derogenes varicus sensu lato. A, whole body ex Argentina sphyraena (SMNH-114558). B, terminal genitalia ex A. sphyraena (SMNH-114558). C, whole body ex Brosme brosme (SMNH-114560). D, terminal genitalia ex B. brosme (SMNH-114560). E, whole body ex Platichthys flesus (SMNH-208360). F, terminal genitalia ex P. flesus (SMNH-208360). G, whole body ex Molva molva (SMNH-114559). H, terminal genitalia ex M. molva (SMNH-114559).
Figure 5 in Untangling the Derogenes varicus species complex in Scandinavian waters and the Arctic: description of Derogenes abba n. sp. (Trematoda, Derogenidae) from Hippoglossoides platessoides and new host records for D. varicus (Müller, 1784) sensu stricto
Figure 5. Progonus muelleri (Levinsen, 1881) ex Myoxocephalus scorpius (NHMD-114950) and comparison between the terminal genitalia in Progonus and in Derogenes. A, P. muelleri ex M. scorpius (NHMD-114950), whole body. B, P. muelleri ex M. scorpius, terminal genitalia, horizontal section (SMNH-114586). C, Derogenes varicus sensu stricto ex Limanda limanda, terminal genitalia, horizontal section (SMNH114557).
Figure 8 in Untangling the Derogenes varicus species complex in Scandinavian waters and the Arctic: description of Derogenes abba n. sp. (Trematoda, Derogenidae) from Hippoglossoides platessoides and new host records for D. varicus (Müller, 1784) sensu stricto
Figure 8. Tree inferred using the maximum likelihood method based on the cox1 sequences; only bootstrap values higher than 70 are indicated.
Figure 1. Derogenes abba n in Untangling the Derogenes varicus species complex in Scandinavian waters and the Arctic: description of Derogenes abba n. sp. (Trematoda, Derogenidae) from Hippoglossoides platessoides and new host records for D. varicus (Müller, 1784) sensu stricto
Figure 1. Derogenes abba n. sp. ex Hippoglossoides platessoides. A, whole body (Type-9562). B, terminal genitalia (Type-9562). C, hologenophore, forebody (Type-9563).
Figure 10 in Untangling the Derogenes varicus species complex in Scandinavian waters and the Arctic: description of Derogenes abba n. sp. (Trematoda, Derogenidae) from Hippoglossoides platessoides and new host records for D. varicus (Müller, 1784) sensu stricto
Figure 10. Derogenes varicus sensu lato ex Hippoglossus hippoglossus (SMNH-104577). A, whole body. B, terminal genitalia.
Figure 6 in Untangling the Derogenes varicus species complex in Scandinavian waters and the Arctic: description of Derogenes abba n. sp. (Trematoda, Derogenidae) from Hippoglossoides platessoides and new host records for D. varicus (Müller, 1784) sensu stricto
Figure 6. Tree inferred using the maximum likelihood method based on the 28S rDNA sequence data; only bootstrap values higher than 70 are indicated. The newly generated sequences of Derogenes varicus sensu stricto from Sweden, Northeast Atlantic are indicated by*. Other D. varicus sensu stricto are those of Krupenko et al. [30] from the Barents Sea and White Sea; and those of Bouguerche et al. [3] from Northeast Atlantic, off Sweden and Norway and from Svalbard, Norway, Arctic Ocean.
Figure 7 in Untangling the Derogenes varicus species complex in Scandinavian waters and the Arctic: description of Derogenes abba n. sp. (Trematoda, Derogenidae) from Hippoglossoides platessoides and new host records for D. varicus (Müller, 1784) sensu stricto
Figure 7. Tree inferred using the maximum likelihood method based on the ITS2 sequence data; only bootstrap values higher than 70 are indicated.
Figure 2 in Unusual shallow-water boreal gastropod species associations at the Northern part of Arctic archipelago Novaya Zemlya
Figure 2. Relations between gastropod fauna of Novaya Zemlya (green circle) with shallow water boreal (red circles) and Arctic (blue circles) faunas. "S" indicates value of Simpson's index.
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