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83 results for “Lake chemistry”
Water chemistry of LTER-Europe research site Lake Paione Superiore LTER_EU_IT_089 (1984-2013)
<p>This dataset provides information about water chemical parameters for Lake Paione Superiore LTER_EU_IT_089: pH, Total alkalinity, conductivity, total nitrogen, major cations (calcium, magnesium, sodium, potassium), major anions (sulphate, nitrate, chloride) and silica for the period 1984-2013.</p> <p>Lake Paione Superiore (LPS) is a high altitude Alpine lake, located at 2269 m a.s.l. in the Bognanco Valley, Province of Verbania, Piedmont Region, Italy. It has a surface area of 0.68 ha and a maximum depth of 11.5 m. The Lake, together with Lake Paione Inferiore (LPI), is included in the monitoring sites of the UN-ECE Program ICP WATERS (International Cooperative Programme on Assessment and Monitoring of Acidification of Rivers and Lakes) for which the CNR Water Research Institute is the National Focal Centre for Italy.</p> <p>This dataset includes the following files: Metadata LTER_EU_IT_089.xls and per each parameter one xls file with data records.</p> <p>Detailed description of the site LPS is available at https://deims.org/7e5837a9-ee27-4e27-822a-f50e5217c313</p> <p>Dataset for water chemistry of LPS for the period 2014-2020 is available at https://doi.org/10.5281/zenodo.10519126</p>
Mountain Lake Chemistry and Physics Profile Data since 2015 at Castle Lake
This data set contains long-term limnology data from Castle Lake (located 5440 ft above sea level in Northern California). The data contained can be broadly grouped into two different types: chemical and physical data. This data set contains dissolved oxygen saturation, dissolved oxygen concentration, chlorophyll-a concentration, CDOM, phycocyanin concentration, conductivity, specific conductivity, pH, salinity, water temperature, pressure, turbidity, sea pressure, density anomaly, and speed of sound at various depths. Sampling Frequency: Continuous measurements were made and recorded down to milliseconds. Sampling dates vary from year to year, starting as early as February and as late as November. This data collection is part of an ongoing project funded by the US National Science Foundation, private donors, US AID, and the University of Nevada's Global Water Center. This package was updated in February 2023 with data from 2021 and 2022. Dissolved O2 concentration data in the 2020 data file was updated to values in units of mg/L instead of umol/L and specific conductivity units in all files was revised to be in microSiemens per centimeter and not milliSiemens per centimeter.
LAGOS-NE – Lake nutrient chemistry and geospatial data to measure spatial structure of ecosystem properties in a 17-state region of the U.S.
This dataset includes data for the lake water quality and geospatial variables that describe climate, hydrology, land use land cover, and lake characteristics that were used to study spatial structure in lake properties at the sub-continental scales (Lapierre et al. Quantifying spatial structure to improve understanding of the relationships between climate, landscape, and lake ecosystem properties, to be submitted to Ecology). All observations came from LAGOS-NELIMNO v. 1.054.1 and LAGOS-NEGEO v. 1.03 (LAke multi-scaled GeOSpatial and temporal database), an integrated database of lake ecosystems (Soranno et al. 2015). LAGOS-NE contains a complete census of lakes great than or equal to 4 ha with corresponding geospatial information for a 17-state region of the U.S., and a subset of the lakes has observational data on morphometry and chemistry. Approximately 54 different sources of data were compiled for the LAGOS-NELIMNO v. 1.054.1 dataset and were mostly generated by government agencies (state, federal, tribal) and universities. In this analysis, we compiled lake water quality data from the summer stratified season (June 15-September 15) in the most recent 10 years of data included in LAGOS-NELIMNO v. 1.054.1 (2002-2011). We report the median total nitrogen, total phosphorus, secchi depth, and chlorophyll values for each lake, which was calculated as the grand median of each yearly median value. We also include data for lake and landscape characteristics including variables related to lake morphometry, climate, hydrology, atmospheric deposition, land use and land cover.
Marcell Experimental Forest biweekly surface water and monthly porewater chemistry at Bog Lake Peatland, 2007 - ongoing
This data set reports the chemistry of surface and porewater water from the Bog Lake peatland in the Marcell Experimental Forest (MEF) in Itasca County, Minnesota, which is operated and maintained by the USDA Forest Service, Northern Research Station. Surface water has been collected about every other week since 2007 from a pool of water and sampling is ongoing. Once covered with ice, water was typically sampled once a month. Porewaters at five depths (0 to 2 m depths) have been collected about monthly from three different nest of piezometers since 2013, though never when samplers were frozen. Samples are measured for pH, specific conductivity, anions (chloride, sulfate), cations (calcium, magnesium, potassium, sodium, aluminum, iron, manganese, strontium), silicon, nutrients (ammonium, nitrate, soluble reactive phosphorus, total nitrogen, total phosphorus), and total organic carbon.
Mountain Lake Biology, Chemistry, Physics, and Climate Data since 1959 at Castle Lake
This data set contains long-term limnology data from Castle Lake (located 5440 ft above sea level in Northern California) on primary productivity, zooplankton and phytoplankton measurements, dissolved oxygen, nutrient chemistry, lake morphology, and fish measurements. Short-term research projects on benthic invertebrates composition and a bathymetric map can also be found within the data package. Ecological, watershed and climatological measurements taken characterize the limnology of Castle Lake, a pristine glacial cirque that is the largest (by volume) of the 25 alpine and sub-alpine lake within the larger Upper Sacramento River Watershed. Sampling Frequency: Varies depending on survey conducted. During summer months- multiple times during each month. Less frequent during winter months. This data collection part of an ongoing project funded by the US National Science Foundation, private donors, US AID, and the University of Nevada's Global Water Center.
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.
Chemistry from thermokarst impacted soils, lakes, and streams near Toolik Lake Alaska, 2008-2011.
This file contains data collected from thermokarst impacted soils, lakes, and streams near Toolik Lake Alaska. Data are also presented for experimental manipulations of water (e.g., time course experiments). Sample descriptors include a unique sortchem #, site, date, time, depth, distance, elevation, treatment, date-time, category, and water type (e.g., lake, surface, soil). Physical/chemical measures collected in the field include temperature, conductivity, and pH. Chemical analyses performed later include alkalinity; dissolved inorganic and organic carbon (DIC and DOC); inorganic and total dissolved nutrients (NH4, PO4, NO3, TDN, TDP); particulate carbon, nitrogen, and phosphorus (PC, PN, and PP); cations (Ca, Mg, Na, K, and Si); anions (SO4 and Cl); chlorophyll a, and oxygen. Note that archived data from before the NSF ARCSS-Thermokarst project started in 2009, and funded by NSF from 1988-2008 (e.g., by the NSF ARC LTER), are included in this dataset.
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.
Soil interstitial water chemistry data for Green Lakes Valley, 1987 - 1992.
Soil interstitial water samples were collected from tension and zero-tension samplers at various locations within the Green Lakes Valley in the City of Boulder Watershed. Chemical analyses were performed on the samples in order to characterize soil solution concentrations and estimate fluxes of important chemical constituents. Samples were collected at several depths from within several soil types and topographic situations in this alpine/subalpine environment.
Snow horizon chemistry data for Niwot Ridge and Green Lakes Valley, 1993 - ongoing.
Snow pits were excavated at various locations on Niwot Ridge and within the Green Lakes Valley. Temperature and snow density were measured at various depths throughout the snow cover profiles in order to characterize the temperature and snow water equivalent (SWE) of the snowpack throughout the year. Snow density was measured at 10-cm intervals using a 1000-ml cutter. Data on snow grain qualities were collected beginning in the 1994-95 snow season. Snow samples were collected and analyzed for cations and anions at the Mountain Research Station's Arikaree (formerly Kiowa) Laboratory.
ARCSS/TK water chemistry and epilithon characterization from the Noatak National Preserve, Kelly River region (2010) and Feniak Lake region (2011).
These data are from two remote field campaigns in the Noatak National Preserve. Various thermokarst features and their receiving streams were sampled and characterized. A suite of water chemistry (nutrients, major anions and cations, total suspended sediment) and benthic variables (particulate carbon, nitrogen and phosphorus, and chlorophyll-a) were measured at 6 major sites (2 in 2010 and 4 in 2011). There were additional sites sampled for water chemistry above and below thermokarst features in 2011.
Water Chemistry in Streams, Lakes Wetlands and Groundwater near the KBS LTER at the Kellogg Biological Station, Hickory Corners, MI (1996 to 2017)
Dataset Abstract Water chemistry is measured in diverse surface waters and in two water supply wells in the vicinity of the KBS LTER. This dataset includes sites sampled over time (streams, wells, some wetlands) as well as wetland sites sampled once or a few times. A separate dataset includes soil water chemistry sampled from the LTER treatments. original data source http://lter.kbs.msu.edu/datasets/50
Lake Hoare Tracer Test Stream Chemistry
As part of the McMurdo Dry Valleys, Long Term Ecological Research (MCM-LTER) project in Antarctica, a LiCl tracer was injected into Andersen Creek in the Lake Hoare basin on 17 December 2012. The purpose of this study was to determine the fate of stream water below lake ice. Injection began at 20:30 hours and continued for two hours. Water samples were collected at half-hour intervals from 5 stream sites and 15 ice boreholes over a 4 hour period beginning at the start of injection. Samples were analyzed for major cations and major anions using an ion chromotograph at McMurdo Station. Results show that stream water moved West along the lake shoreline below the moat ice, and did not generate interflow below the perennial lake ice.
McMurdo Dry Valleys Halogen chemistry and isotopic composition in McMurdo lake waters and pore fluids
As part of a collaborative investigation between researchers at Rice University, Arkansas State University, University of Rochester, and Ohio State University, lakes of the McMurdo Dry Valleys were sampled at discreet depth intervals during the 2005-2006 field season.  Sample splits were subsequently analyzed for chemical and isotopic composition of both gases and dissolved  ions, as well as dissolved organic carbon. In addition, cryogenic salts were sampled in the surrounding lake shores in order to determine the salt sources. Gravity cores were also obtained and the pore waters were collected by centrifuging the wet sediment.  Presented  in this file are the dissolved halogens :chloride, bromide, and total iodine in lake waters and pore waters. The isotopic composition of I-129 and Cl-36 are also presented for these same samples, as are the molar ratios of I-129/I-127, and Cl-36/Cl-37.  Alkalinity was also determined in order to subsequently investigate the relationship between the oxidation of organic matter and the release of iodine into the lake waters.
Soil lysimeter chemistry data from various locations on Niwot Ridge and in the Green Lakes Valley 1994 - 2013.
Water was collected from soil lysimeters at key sites across Niwot Ridge and the Green Lakes Valley in the tundra and subalpine forest. Zero-tension soil lysimeters in the City of Boulder Watershed were deployed in the mid-1980’s. Additional zero-tension lysimeters were installed at Subnivean and Soddie sites in 1997. At c1 in 2010, 12 Tension lysimeters (Soil Moisture Equipment Corp Model 1900 Soil Water Sampler ) were installed at C1.SO, C1.ST and C1.SW sites, with four lysimeters at each site. In 2012, 15 additional zero tension lysimeters were installed in the City of Boulder Watershed at Gl5, Arikaree, and D1 locations (with 5 lysimeters at each site).
Snow pit chemistry data for Niwot Ridge and Green Lakes Valley, 1993 - 2000.
Snow pits were excavated at various locations on Niwot Ridge and within the Green Lakes Valley. Temperature and snow density were measured at various depths throughout the snow cover profiles in order to characterize the temperature and snow water equivalent (SWE) of the snowpack throughout the year. Snow density was measured at 10-cm intervals using a 1000-ml cutter. Data on snow grain qualities were collected beginning in the 1994-95 snow season. Snow samples were collected and analyzed for cations and anions at the Mountain Research Station's Kiowa Laboratory.
Field investigations of salt partitioning and aqueous chemistry of freezing closed-basin lakes in Mongolia as terrestrial analogs of subsurface brine reservoirs on icy bodies [Data set]
<p>All measurement and calculation data</p> <p>Measurement and calculation data in Version 4 were uploaded in 2021-11-2</p>
Lake water chemistry and population of origin interact to shape fecundity and growth in Daphnia ambigua
<p>Freshwater environments vary widely in ion availability, owing to both natural and anthropogenic drivers. Field and laboratory work point to the importance of overall salinity as well as cation depletion, in shaping the physiology, behavior, and ecology of freshwater taxa. Yet, we currently have a poor understanding of the degree to which populations may vary in response to ion availability. Using <em>Daphnia</em> collected from three lakes that differ greatly in salinity and calcium availability, we conducted a laboratory reciprocal transplant experiment to assess how animals representing these populations vary in fecundity, body size, and survival when reared in lake water from each environment. The lake water environment and population of origin strongly interacted to shape <em>Daphnia</em> growth and reproduction. Surprisingly, we found only modest evidence that lake water with abundant calcium (5.5 mg/L vs. 1.2-2.3 mg/L) increased <em>Daphnia</em> growth or reproduction. In contrast, water from a relatively ion-rich lake (400 µS/cm specific conductance) strongly boosted <em>Daphnia</em> fecundity over lower-ion lake water (20-50 µS/cm), especially for the population originating from the high-ion environment. Our results suggest that ion-poor conditions common in regions around the world may exert stress on freshwater organisms, even for populations inhabiting these environments. Meanwhile, moderate salt enrichment may not prove harmful but could even benefit freshwater taxa in these ion-poor regions. The context dependence of how and when lake water chemistry affects <em>Daphnia</em> and other freshwater taxa deserves greater attention, in both ion-depleted and ion-rich conditions. <em>Daphnia</em> are key members of lake food webs and serve as an important model for ecology, evolution, and toxicology research. Consideration of how lake water chemistry may influence how Daphnia populations respond to abiotic and biotic stress may improve the ability to evaluate and predict ecological and evolutionary dynamics in lakes of varying chemical composition.</p>
Lake water chemistry and local adaptation shape NaCl toxicity in Daphnia ambigua
<p>The increasing application of road deicing agents (e.g., NaCl) has caused widespread salinization of freshwater environments. Chronic exposure to toxic NaCl levels can impact freshwater biota at genome to ecosystem scales, yet the degree of harm caused by road salt pollution is likely to vary among habitats and populations. The background water chemistry may strongly impact NaCl toxicity, with greater harm occurring in ion-poor freshwater environments. In addition, populations exposed to salinization may evolve increased NaCl tolerance. We examined the potential for these two factors, genetics and environmental context, to interact in shaping NaCl toxicity in natural populations of the water flea <em>Daphnia</em> <em>ambigua</em>. We performed a reciprocal transplant toxicity trial using <em>Daphnia</em> clones from three lakes varying in ion availability. NaCl toxicity greatly increased in calcium-poor (1.7 mg/L) lake water compared with a high-calcium (7.2 mg/L) environment, especially for <em>Daphnia</em> from the high-calcium lake. Meanwhile, <em>Daphnia</em> from an ion-rich lake showed evidence of adaptation to NaCl exposure, especially in their natal lake water. Our findings that the lake water environment, adaptation to that environment, and adaptation to a contaminant of interest may interact to shape toxicity demonstrate the importance of considering environmental and genetic complexity in mitigating pollution impacts.</p>
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