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92 results for “Mendota”
Lake Mendota Microbial Observatory Nutrient Data 2013-2018
Pelagic water samples were collected from Lake Mendota as part of routine microbial observatory sampling and analyzed for total and dissolved nitrogen and phosphorus, as well as inorganic nitrogen compounds. On a typical sampling trip, a 12m tube approximating the depth of the epilimnion layer was used to collected an integrated epilimnion water sample from the central, deepest location in the lake. Two separate water grabs, which we refer to here as biological replicates, were typically taken from different sides of the small motor boat and processed separately. Water samples were stored frozen at -20 C until nutrient analysis was performed using a segmented flow analyzer. These samples differ in several key ways from the other routine NTL-LTER nutrient measurements, namely in that they reflect a mixed water column sample rather than a discrete depth, that the dissolved fraction is collected using the microbial observatory's 0.22 um filter instead of 0.45 um, and that the nitrate/nitrite speciation is included by repeating the analysis with and without the standard reducing column. This nutrient data is collected from the same water samples used for microbial analysis, and the collection site is also co-located with the Lake Mendota weather buoy.
North Temperate Lakes LTER: Alkaline Phosphatase Activity in Lake Mendota 2000 - 2001
Parameters characterizing the alkaline phosphatase activity of Lake Mendota. Samples were collected at one station in the deepest part of each lake from an integrated sample of the epilimnion. Sampling Frequency: fortnightly during ice-free season - every 6 weeks during ice-covered season Number of sites: 1
North Temperate Lakes LTER: High Frequency Water Temperature Data - Lake Mendota Pier 2006 - 2008
Water temperature was measured on the pier at 1 and 2 m water depth at a frequency of 1 minute.
North Temperate Lakes LTER: Chemical Limnology of Lake Mendota: Major Ions 1940 - 1995
Chloride, Sodium and Sulfate concentrations in Lake Mendota. 1940 - 1987 data are annual averages collected and processed by Richard Lathrop Lathrop, R. C. (1988). Chloride and sodium trends in the Yahara lakes. Bureau of Research, Wisconsin Department of Natural Resources. 1988 - 1995 data are collected by the Wisconsins DNR and are also available in Storet.
Lake Mendota water temperature secchi depth snow depth ice thickness and meterological conditions 1894 - 2007
Data for water temperature at different depth and different frequencies assembled from various sources by Dale Roberson. A table with additional parameters collected at the same time is also provided for dates when available. These parameters are weather observations, secchi depth, snow and ice depths.
Data for Lake Mendota Phosphorus Cycling Model
There is an opportunity to advance both prediction accuracy and scientific discovery for phosphorus cycling in Lake Mendota (Wisconsin, USA). Twenty years of phosphorus measurements show patterns at seasonal to decadal scales, suggesting a variety of drivers control lake phosphorus dynamics. Our objectives are to produce a phosphorus budget for Lake Mendota and to accurately predict summertime epilimnetic phosphorus using a simple and adaptable modeling approach. We combined ecological knowledge with machine learning in the emerging paradigm, theory-guided data science (TGDS). A mass balance model (PROCESS) accounted for most of the observed pattern in lake phosphorus. However, inclusion of machine learning (RNN) and an ecological principle (PGRNN) to constrain its output improved summertime phosphorus predictions and accounted for long term changes missed by the mass balance model. TGDS indicated additional processes related to water temperature, thermal stratification, and long term changes in external loads are needed to improve our mass balance modeling approach.
GLEON DC-FLUX Lake Mendota floating chamber carbon dioxide flux, 2017 - 2018
Campaign to measure diel cycle of lake-atmosphere carbon dioxide flux in different seasons. This is part of a larger synthesis working group for GLEON called DC-FLUX. Floating chamber with in-situ CO2 sensor was deployed between July 2017 and April 2018 over four campaigns of three-hourly samples taken by two chambers with three replicates each by boat and in one campaign, also near shore. These data are being synthesized with similar measurements made in multiple lakes for a forthcoming manuscript.
North Temperate Lakes LTER: High Frequency Data: Meteorological, Dissolved Oxygen, Chlorophyll, Phycocyanin - Lake Mendota Buoy 2006 - current
The instrumented buoy on Lake Mendota is equipped with limnological and meteorological sensors that provide fundamental information on lake thermal structure, weather conditions, and lake metabolism. Data are collected every minute. Hourly and daily averages are derived from the high resolution (1 minute) data. Hourly and daily values may not be current with high resolution data as they are calculated at the end of the season. Meteorological sensors measure wind speed, wind direction, relative humidity, air temperature, and photosynthetically active radiation (PAR). Not all sensors are deployed each season. A list of sensors used since the first deployment in 2006 is provided as a downloadable CSV file. The buoy is removed during the winter when the lake is ice-covered (typically Dec-Apr). Lake temperature data collected at the same buoy site can be found in an ancillary dataset. Number of sites: 1. Location lat/long: 43.0995, -89.4045 Notable events: 2017 - A boating mishap caused the loss of air temperature, relative humidity, and wind sensors between May 28 and July 11. The dissolved oxygen sensor had significant biofouling from algae and zebra mussels. 2019 - A YSI EXO2 sonde was added to the buoy and includes DO, chlorophyll, phycocyanin, specific conductance, pH, fDOM, and turbidity sensors. The chlorophyll and phycocyanin sensors replace Turner Cyclops 7 fluorometers that had been in use in prior years. Both sets of sensors output RFU, but have significant magnitude differences. The YSI pH, DO, and specific conductance sensors were cleaned and recalibrated every two weeks. 2020 - Cleaning and calibration of the YSI sensors occurred nearly every week. The dissolved CO2 sensor was not operating between July 2 and September 17. 2021 - Due to power and communications issues, the buoy was not operating August 22-31, and data is intermittent between November 8 and December 3. An effective method to keep the underwater PAR sensor mostly free of biofouling algae has
North Temperate Lakes LTER: High Frequency Water Temperature Data - Lake Mendota Buoy 2006 - current
The instrumented buoy on Lake Mendota is equipped with a thermistor chain that measures water temperature. In 2006, the thermistors were placed every half-meter from the surface through 7m, and every meter from 7m to 15m. Since 2007, the thermistors were placed every half-meter from the surface through 2m, and every meter from 2m to 20m. The sensor at the water surface is as close to the surface as feasible. A list of sensors used since the first deployment in 2006 is provided as a downloadable CSV file. Hourly and daily water temperature averages are computed from high resolution (1 minute) data.The buoy is removed during the winter when the lake is ice-covered (typically Dec-Apr). Meteorological and limnological data collected at the same buoy site can be found in an ancillary dataset. Sampling Frequency: one minute. Number of sites: 1. Location lat/long: 43.0995, -89.4045 Notes: The thermistor string failed in June 2014, so there is not data between June 17, 2014 and the start of the 2016 season. The thermistor string failed again in August 2023. It was replaced by Hobo temp loggers at 0, 5,10, 15, 20 meters depth for the remainder of 2023.
Lake Mendota Multiparameter Sonde Profiles: 2017 - current
Intermittent sensor profiling at the deep hole of Lake Mendota began in 2017 with a YSI EXO2 multiparameter sonde. Parameters include water temperature, pH, specific conductivity, dissolved oxygen, chlorophyll, phycocyanin, turbidity, and fDOM. Profiles are nominally 0 - 20 meters in depth in one meter increments, although the depth range and increments vary.
Lake Mendota long term water quality model
The data are associated with the following manuscript: Hanson, P. C., Ladwig, R., Buelo, C., Albright, E. A., Delany, A. D., & Carey, C. (2023). Legacy phosphorus and ecosystem memory control future water quality in a eutrophic lake. Lake water and ice observational data and lake bathymetry are from the North Temperate Lakes Long Term Ecological Research program. Brief abstract of the work: To investigate how water quality in Lake Mendota might respond to nutrient pollution reduction, we used computer models to simulate the elimination of phosphorus inputs from the catchment and track water quality change. The data herein are used to drive and calibrate the model. In addition, model code and simulation output are included as "other entities."
North Temperate Lakes LTER: Multiparameter Water Quality Data -- CFL Pier, Lake Mendota.
This is data from a SUNA V2 nitrate sensor and a YSI EXO 2 sonde instrumented with water temperature, dissolved oxygen, pH, chlorophyll, phycocyanin, conductivity, turbidity, and fDOM sensors. The sensors are located at the lake end of the pier serving the Center for Limnology on the UW-Madison campus. The YSI sonde is fixed on the pier with sensors nominally at 0.5 meters depth, while the SUNA is suspended below the pier at one meter depth in the open water season. In the winter season, the SUNA is placed in a cage on the lake bottom close to shore with the sensor 18cm off the bottom. The depth of the sensors will vary with lake level over the season. The water depth at the lake end of the pier is normally about 3 meters. YSI sonde data are sampled once per minute. Hourly and daily averages are provided as separate CSV files. The SUNA sample rate varies. In the winter (under the ice) it relies on single battery charge, so the wiper is deactivated and the sensor samples every 1-2 hours. Daily averages of SUNA are also provided as a separate CSV. The YSI sonde is deployed only during the ice-free season coinciding with the placement of the pier. Sensors are cleaned and maintained roughly every two weeks. Number of sites: 1. Location lat/long: 43.07758, -89.40297
Lake Mendota metabolism model and data set
<p>This is a zipped file that includes the model code, written in R, as well as the input and output data for the model. This publication accompanies the manuscript entitled, Legacy phosphorus and ecosystem memory control future water quality in a eutrophic lake</p>
Spatially Distributed Lake Mendota EXO Multi-Parameter Sonde Measurements 2019-2022
This data was collected over 34 sampling trips during four summers (May-October), 2019-2022. 35 grid boxes were generated over Lake Mendota. Before each sampling effort, sample point locations were randomized within each grid box. Surface measurements were taken with an EXO multi-parameter sonde at a subset of the 35 grid boxes throughout Lake Mendota during each sampling trip. Measurements include temperature, conductivity, chlorophyll, phycocyanin, turbidity, dissolved organic material, ODO, pH, and pressure.
Proprietary Sub Bottom Profiler Data for Lake Mendota
This study aims to create a three-dimensional sediment profile map of Lake Mendota, located in Dane County, WI, using subbottom profiling (SBP). Knowing the location, quantity, and relative composition of the sediments will give us lake-wide relative deposition rates and spatial differences in deposition, as well as what from the sediment phosphorus pool is available for recycling. Furthermore, knowing the significance of phosphorous sediment flux will aid in creating more accurate models, which can help in creating better policies that affect the lake such as land management practices.
North Temperate Lakes site, station Lake Mendota, study of ice duration in units of daysPerYear on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains ice duration measurements in daysPerYear units and were aggregated to a yearly timescale.
North Temperate Lakes site, station Lake Mendota, study of animal abundance of fish in units of numberPerEffort on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains animal abundance of fish measurements in numberPerEffort units and were aggregated to a yearly timescale.
North Temperate Lakes site, station Lake Mendota, study of animal abundance of Lepisosteus osseus in units of numberPerEffort on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains animal abundance of Lepisosteus osseus measurements in numberPerEffort units and were aggregated to a yearly timescale.
North Temperate Lakes site, station Lake Mendota, study of animal abundance of Amia calva in units of numberPerEffort on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains animal abundance of Amia calva measurements in numberPerEffort units and were aggregated to a yearly timescale.
North Temperate Lakes site, station Lake Mendota, study of animal abundance of Esox lucius X E. masquinongy in units of numberPerEffort on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from North Temperate Lakes (NTL) contains animal abundance of Esox lucius X E. masquinongy measurements in numberPerEffort units and were aggregated to a yearly timescale.
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