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83 results for “Lake chemistry”
Lake water chemistry and local adaptation shape NaCl toxicity in Daphnia ambigua
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Lake water chemistry and population of origin interact to shape fecundity and growth in Daphnia ambigua
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Massachusetts Department of Environment Protection (MADEP): lake water chemistry , 2005-2010
This database contains anion, nutrient, and secchi data collected by MA DEP for assessment of water quality in MA lakes. Data spans 2005-2010. The ultimate goal of the MassDEP is to implement a comprehensive monitoring program (status/assessment, trends and flows, and targeted) that serves all water quality management needs, and addresses streams, rivers, lakes, reservoirs, estuaries, coastal areas, wetlands, and groundwater. The five-year rotating watershed assessment program is currently the primary means of meeting the CWA objective related to assessing the status of designated uses. Requirements for the monitoring program designed to support watershed assessments, reflecting CWA mandates, are that it be statewide in scale, comprehensive (all water bodies in the Commonwealth are assessed), and repeated at regular intervals. Water quality surveys generally consist of five sampling events interspersed throughout the water recreation season for conventional water quality analyses such as pH, dissolved oxygen, suspended and total dissolved solids, nutrients, and fecal coliform bacteria.
Minnesota Department of Natural Resources Sentinel Lakes Monitoring Program Chemistry, 2008-2011
SLICE (Sustaining Lakes in a Changing Environment) is a cooperative long-term, statewide lake monitoring program led by DNR Fisheries with the support of many other partners. The focus of this interdisciplinary effort is to improve understanding of how major drivers of change such as development, agriculture, climate change, and invasive species can affect lake habitats and fish populations, and to develop a long-term strategy to collect the necessary information to detect undesirable changes in Minnesota lakes.
Minnesota Pollution Control Agency (MPCA): Lake Monitoring Program, Chemistry, 1999-2012
The MPCA monitors approximately 100 lakes each year. Each lake is sampled monthly from May to September for a period of two years. The primary focus is on collection of total phosphorus (nutrient), chlorophyll-a (pigment in algae), and Secchi depth (distance light will travel in water). With this information, it is possible to determine the condition of the lake, commonly referred to as the “trophic status. Staff also collects information on water color, suspended solids, temperature, dissolved oxygen and a number of other parameters. After a lake has been monitored for a minimum of two years, the water chemistry data are used to assess its condition. The water quality data and the results of the condition assessment are incorporated in a variety of products, including lake assessment reports, status and trend/update reports and fact sheets. The MPCA uses a Standard Operating Procedure (SOP), posted on the state Pollution Control Agency website, when conducting its lake monitoring.
Adirondack Lakes Survey (NY): summer surface chemistry datat, 1984-1987
Reported water chemistry data are from the intensive lake chemistry survey conducted between the months of July and August from 1984 – 1987 as part of the larger Adirondack lakes survey of chemistry and fish. This intensive sampling took place in the summer when most Adirondack waters are typically stratified. When possible, the middle or deepest part of the lake was sampled to avoid the effects of littoral zones and inlet streams. Samples in isothermal waters were collected 1.5 meters below the surface or at mid-depth when the waters were less than 1.5 meters deep. In stratified waters, a sample was collected at 1.5 meters below the surface and also half way between the thermocline and the bottom. Chemical analysis was conducted at the Adirondack Lakes Survey Corporation (ALSC) laboratory in Ray Brook following EPA guidelines.
Chemistry and isotopic composition of resource pools in lakes of the Sierra Nevada, CA
The extent to which terrestrial organic matter supports aquatic consumers remains uncertain because factors regulating resource flows are poorly understood. We sampled 12 lakes throughout the Sierra Nevada (California, USA) spanning large gradients in elevation and size to evaluate how watershed attributes and lake morphometry influence resource flows to lake carbon pools and zooplankton. We found that the size and composition of carbon pools in lakes were often more strongly determined by watershed or lake features rather than by elevational position. Using three different tracers of resource origin (δ13C, Δ14C, C:N ratio), we found terrestrial contributions to most lake resource pools (DOC, POM, sediments) and pelagic consumers (zooplankton) were more strongly related to local-scale watershed features such as vegetation cover or watershed area:lake area rather than to elevation. Landscape patterns in multiple tracers indicated consistent contribution of within-lake C sources to bulk resource pools across elevations (POM, sediments, zooplankton). δ13C-enrichment of lake C pools and overlap with δ13C of terrestrial resources can arise due to reduced fractionation of 13C by phytoplankton under CO2 limitation, therefore we recommend careful consideration of potential environmental drivers when interpreting among-lake patterns in δ13C. Our findings emphasize the importance of local-scale variation in mediating terrestrial contributions to lake food webs.
Iowa Rathbun Lake long-term chemistry data conducted by US Army Corps of Engineers, 1997-2012
This dataset contains long-term water quality data for Rathbun Lake (Iowa) collected from 1997 – 2012. This dataset contains data for Secchi depth, dissolved and total nutrients, chlorophyll, total suspended sediments, turbidity, alkalinity, sulfate, and total and dissolved organic carbon. Data are also included for herbicides and trace elements.
Hubbard Brook Experimental Forest: Chemistry of Mirror Lake water column 1967 - 2010
Numerous studies have been conducted on Mirror Lake since the mid-1960s, including extensive physical, chemical, biological, and paleoecological research (Likens 1985). This data set includes chemistry data for water samples collected approximately monthly at an anchored buoy station located at the deepest part (11 m at full pool) of Mirror Lake. Measurements include ANC, DIC, DO, base cations, pH, ammonium, anions, temperature and dissolved silica. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Hubbard Brook Experimental Forest: Chemistry of Mirror Lake West Inlet streamwater 1967 - 2010
Numerous studies have been conducted on Mirror Lake since the mid-1960s, including extensive physical, chemical, biological, and paleoecological research (Likens 1985). This data set includes concentrations (mg/L) in weekly collections of the West Inlet streamwater samples for base cations, pH, ammonium, anions, and dissolved silica. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Hubbard Brook Experimental Forest: Chemistry of Mirror Lake NE Inlet streamwater 1967 - 2010
Numerous studies have been conducted on Mirror Lake since the mid-1960s, including extensive physical, chemical, biological, and paleoecological research (Likens 1985). This data set includes concentrations (mg/L) in weekly collections of Northeast Inlet streamwater samples for base cations, pH, ammonium, anions, and dissolved silica. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Hubbard Brook Experimental Forest: Chemistry of Mirror Lake NW Inlet streamwater 1967 - 2010
Numerous studies have been conducted on Mirror Lake since the mid-1960s, including extensive physical, chemical, biological, and paleoecological research (Likens 1985). This data set includes concentrations (mg/L) in weekly collections of Northwest Inlet streamwater samples for base cations, pH, ammonium, anions, and dissolved silica. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Stream water chemistry data for Green Lake 1, 1985 - 2010.
This is a summary of major ion concentrations for stream water samples collected at the outlet stream from Green Lake 1. Sampling point was at the plate weir where the stream emerges from the base of the lake dam, i.e. after drainage through the dam.
Lake water quality, chemistry and zooplankton composition for 16 lakes surrounding the Green Lakes Valley, 2016
This dataset contains water chemistry measurements made from 16 different lakes north and south of LTER site in the green lakes valley. At each visit water samples were collected for analysis of chlorophyll a and nutrient analysis and field measurements were recorded for pH, temperature, specific conductivity, dissolved oxygen (DO), % saturation, secchi depth, PAR. Secchi depth was measured using a 30cm disk to the nearest 0.25 meter and here recorded at the 0m row in the data file however it is a measurement of depth and so the units are meters. Most samples were collected between 0900 and 1300 MST. The first sampling date occurred shortly after lake had become ice free and then if the lake was at least 3 meters deep it was re-surveyed at approximately 2 week intervals. All data are collected from an inflatable raft at the point of deepest depth. All water samples were taken at the surface (0m), and the hypolimnion (about 2m above the lake sediment) using a Van Dorne sampler. Chlorophyll-a was extracted from water sample filters and absorbance was measured before and after acidification to quantify chlorophyll a concentration. Field measurements were conducted using a YSI either DO or multiple probe meter (YSI MPS 556) and a Li-Cor meter with a quantum sensor. Zooplankton samples were collected opportunistically 3 times throughout the summer, once immediately after ice-out and two more times with at least 14 days bewteen each subsequent visit. Zooplankton were sampled at the deepest location of each lake by pulling a conical net (Wisconsin net) vertically through the water column (i.e., vertical tow sample). The Wisconsin net is 0.9m long with an opening of an inner diameter of 0.2m and a mesh size of 80um. The vertical tow samples are taken from approximately 0.5 m off the lake bottom. After the net is raised and the sides rinsed, the sample is transferred to a 250 mL jar and preserved in a solution of 80% Ethanol. Jars are labeled with date (yyyy-mm-dd), time hh:
Water chemistry data for Green Lakes Valley, 2018
Recently, the link between air warming and stream chemistry fluxes at GLV was evaluated by Crawford et al (2019) that showed strong connection between the sum of average daily temperature at a monthly time step and normalized fluxes of base cations and SO4--. They explored the reasons for this relation evoking several direct and indirect mechanisms and concluded that enhanced sulfide mineral weathering in and around the rock glacier is a result of recent warming-induced changes to minerals weathering. However, on the basis of a pattern recognition analysis of base cations and major anions concentrations we hypothesized that the observed trends in the GLV and probably across the Rocky Mountains region resulted from a combination of several mechanisms rather than warming trend alone. So the main objective of this work is to re-examine the Niwot Ridge LTER long-term data coupled with additional ancillary data sets to ascertain the mechanisms instigating the observed trends.
Green Lakes 3-5 water chemistry and algal biomass.
Temperature, algal biovolume, nutrient content and chlorophyll content of water flowing from the outlets of Green Lakes 4 and 5 were monitored.
Atmospheric pollutant concentrations and leaf chemistry variables collected along gradients of median household income and traffic density in Salt Lake Valley, UT
<p>We utilize traffic density and <i>Convolvulus arvensis </i>leaf chemistry<i> </i>to understand spatial patterns linking atmospheric pollution and household income in the Salt Lake City metropolitan area, USA. We hypothesize that traffic density will explain variation in atmospheric NO<sub>x</sub> and O<sub>3</sub> concentrations. In addition, we expect foliar <span>%N and nitrogen isotope ratios (</span>δ<sup>15</sup>N) to be elevated and carbon isotope ratios (δ<sup>13</sup>C) to be depleted on high traffic density roads<span>. These hypotheses were supported: we found the</span><span> highest</span><span> NO<sub>x</sub> and lowest O<sub>3</sub> concentrations on high-traffic density roads. Also, NO<sub>x</sub> concentrations were higher in low-income neighborhoods. Low-income neighborhoods contained a greater density of high-traffic roads than high-income neighborhoods. Foliar %N was highest in low-income neighborhoods and was correlated with NO<sub>x</sub> and O<sub>3</sub></span>, while δ<sup>15</sup>N was more depleted with increasing O<sub>3</sub>. These findings indicate that the distribution of high-traffic density roads plays a significant role in inequities in pollution exposure between high- and low-income neighborhoods, which is reflected in leaf chemistry.</p>
Lake water and sediments chemistry data along with temporal data on environmental drivers
<p class="Abstract">Increasing iron (Fe) concentrations are found in lakes on a wide geographical scale but exact causes are still debated. The observed trends might result from increased Fe loading from the terrestrial catchment, but also from changes in how Fe distributes between the water column and the sediments. To get a better understanding of the causes we investigated whether there has been any change in the sediment formation of Fe sulfides (FeS) as an Fe sink in response to declining atmospheric sulfur (S) deposition during recent decades. For our study, we chose Lake Bolmen in southern Sweden, a lake for which we confirmed that Fe concentrations in the water column have strongly increased along with water color during 1966 to 2018. Our investigations showed that Fe accumulation and speciation varied independently of S accumulation patterns in the Lake Bolmen sediment record. Thus, we were not able to relate the positive trend in Fe concentrations to reduced FeS binding in the sediments. Furthermore, we found that Fe accumulation rates increased along with lake Fe concentrations, indicating that increased catchment loading rather than a change in the distribution between the sediments and the water column has driven the increase in Fe concentrations. The increased loading may be due to land-use change in the form of an extensive expansion of coniferous forest during the past century. Altered forest management practices and increased precipitation may have led to enhanced weathering and erosion of organic soil layers under aging coniferous forest.</p>
Cajas Lake Chemistry Data - Survey 2014-2015
<p>Lake water chemistry data and lake characteristics used in the publication: Mosquera, P.V.; Hampel, H.; Vázquez, R.F.; Catalan, J. Water chemistry variation in tropical high-mountain lakes on old volcanic bedrocks. Limnology & Oceanography 2022, in press.</p>
Names, locations, sampling dates, physical characteristics, water chemistry, and plankton data in samples collected in Canadian Prairie lakes in July and August, 2023
<p>PPR Sample Lake Data.xlsx contains names, locations, sampling dates, physical characteristics, water chemistry, and plankton data in samples collected in Canadian Prairie lakes in July and August, 2023. PPR Sample Lake Fact Sheets.pdf contains fact sheets for every sampled lake including maps and essential lake, catchment, and water chemistry characteristics. </p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.