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484 results for “water quality”
Figure 9 in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 9 The picking process proposed in this manuscript. a – the picker empties the contents of the sample container into the white photographic
Multiparameter Water Quality Monitoring System for Continuous Monitoring of Fresh Waters Calibration and Measurement Data Set
<p>This data set contains calibration data for all sensors incorporated in the sensor node. It provides comparison measurements of TPL fluorescence taken by the node and reference spectrofluorimeter. Initial test measurements, as well as site measurements, are also provided. Finally, data from a heuristic method of TPL detection in the presence of algae and mud are also given.</p>
Dataset for the paper submitted for peer-review with the title "Quantifying heterotrophic bacteria parameters and dissolved organic carbon biodegradability through oxygen data assimilation in a river water quality model"
<p>The proposed dataset is related to the following article submitted for peer review:</p> <p>Hasanyar, M., Flipo, N., Romary, T., Wang, S. (2023), Quantifying heterotrophic bacteria parameters and dissolved organic carbon biodegradability through oxygen data assimilation in a river water quality model, UNDER PEER-REVIEW</p> <p>It consists of command files for the prose-pa0.74 software available here: https://gitlab.com/prose-pa/prose-pa </p> <p>To run the model :</p> <p>1. Compile prose-pa0.74</p> <p>2. Copy the executable in the current directory</p> <p>3. In a terminal launch</p> <p>> ./prose-pa0.74 simulation.COMM test.log</p> <p>The “simulation.COMM” holds the settings for the ProSe-PA simulation related to the paper mentioned in the front head of the current file. </p> <p>The information on different parameters of “simulation.COMM” are included in “bathymetrie”, “Cmds”, “Inflows”, “layers”, “meteo”, “o2_obs”, “param_bio”, “Reaches” and “Singularities” folders.</p> <p>The “bathymetrie” folder holds the geometric information of several cross-sections along the river. </p> <p>The Cmds folder holds the “simulation.COMM” file. </p> <p>The “Inflows” folder the information about the boundary condition inflows to the river such as discharge, concentration of organic carbon, etc.</p> <p>The layer folder holds data of the initial conditions of the model (Table 2 in the article).</p> <p>The “meteo” folder holds the meteorological information.</p> <p>The “o2_obs” folder holds the observed oxygen data needed to do data assimilation. </p> <p>The “param_bio” folder holds information on the physiology of bacteria, phytoplankton, and other model species.</p> <p>The “Reaches” folder holds information about river reaches and their manning coefficient. </p> <p>The “param_range” file holds the variation range of model parameters considered in data assimilation together with their perturbation percentage.</p> <p>The output files are written in $HOME/Outputs folder. It is possible to change it directly in simulation.COMM, last entry “Output_folder”.</p>
Assessment of the quality of water for human consumption in the Laguna Verde area of Valparaiso in Central Chile (DATA)
<p>Data set paper Assessment of the quality of water for human consumption in the Laguna Verde area of Valparaiso in Central Chile .</p>
Vulnerability of estuarine systems in the contiguous United States to water quality change under future climate and land-use
Open the record for dataset details and reuse information.
Individual high-quality reads (dd-RADsequencing) from: Genomic signatures of clonality in the deep water kelp Laminaria rodriguezii
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Silicon concentrations and stoichiometry in two agricultural watersheds: implications for management and downstream water quality
Agriculture alters the biogeochemical cycling of nutrients such as nitrogen (N), phosphorus (P), and silicon (Si) which contributes to the stoichiometric imbalance among these nutrients in aquatic systems. Limitation of Si relative to N and P can facilitate the growth of non-siliceous, potentially harmful, algal taxa which has severe environmental and economic impacts. Planting winter cover crops can retain N and P on the landscape, yet their effect on Si concentrations and stoichiometry is unknown. We analyzed three years of biweekly concentrations and loads of dissolved N, P, and Si from subsurface tile drains and stream water in two agricultural watersheds in northern Indiana. Intra-annual patterns in Si concentrations and stoichiometry showed that cover crop vegetation growth did not reduce in-stream Si concentrations as expected, although, compared to fallow conditions, winter cover crops increased Si:N ratios to conditions more favorable for diatom growth. To assess the risk of non-siliceous algal growth, we calculated a stoichiometric index to quantify biomass growth facilitated by excess N and P relative to Si. Index values showed a divergence between predicted algal growth and what we observed in the streams, indicating other factors influence algal community composition. The stoichiometric imbalance was more pronounced at high flows, suggesting increased risk of harmful blooms as climate change increases the frequency and intensity of precipitation in the midwestern U.S. Our data include some of the first published measurements of Si within small agricultural watersheds and provide the groundwork for understanding the role of agriculture on Si export and stoichiometry.
Summer Water Quality Data from four ponds at Grafton Lakes State Park, New York, United States: 2022
Lake water quality data was collected on four ponds in Grafton Lakes State Park, NY, USA to establish long-term monitoring sites. Samples were collected once a month from May to July of 2022. Temperature and dissolved oxygen profiles were collected using a YSI Sonde. Secchi disk depths were recorded during the July sampling event.
Big Spirit Lake Monitoring Buoy: High Frequency Oxygen, Temperature, Water Quality and Weather Data 2020-2021
High frequency weather and limnological data from the Big Spirit Lake monitoring buoy, Iowa, USA, from 2020 - 2021. The Big Spirit Lake (Global Lake Ecological Observatory Network—GLEON) instrumented monitoring buoy is operated by the Iowa Lakeside Laboratory (https://iowalakesidelab.org/). The buoy is equipped with a thermistor chain and dissolved oxygen probes the measure every meter from 1m to 6m in depth, a multi-parameter sonde at 1 meter depth, as well as a weather station and wave sensor (added in 2021) situated on the buoy. All data in this data package have been QAQC'd to remove obviously errant readings, highly suspicious readings, and artifacts of buoy maintenance. Because of this, as well as sensor errors and failure, not all data is available at every point each year. Measured parameters in the data set include water temperature, dissolved oxygen concentration, and dissolved oxygen saturation (measured every meter from 1m to 6m). Other measured parameters include pH, specific conductivity, chlorophyll, and blue-green algae in the surface water, as well as weather station data and wave sensor data. Sampling Frequency: Parameters are measured at 10 minute intervals, and most years include measurements from mid/late May through October.
West Okoboji Lake Monitoring Buoy: High Frequency Oxygen, Temperature, Water Quality and Weather Data 2015-2021
High frequency weather and limnological data from the West Okoboji Lake monitoring buoy, Iowa, USA, from 2015 - 2021. The West Okoboji Lake (Global Lake Ecological Observatory Network—GLEON) instrumented monitoring buoy is operated by the Iowa Lakeside Laboratory (https://iowalakesidelab.org/). The buoy is equipped with a thermistor chain and dissolved oxygen probes the measure every 2 meters from 1m to 25m in depth, a multi-parameter sonde at 1 meter depth, as well as a weather station situated on the buoy. All data in this data package have been QAQC'd to remove obviously errant readings, highly suspicious readings, and artifacts of buoy maintenance. Because of this, as well as sensor errors and failure, not all data is available at every point each year. Measured parameters in the data set include water temperature, dissolved oxygen concentration, and dissolved oxygen saturation (measured every 2 meters from 1m to 25m). Other measured parameters include pH and specific conductive in the surface water, as well as weather station data including wind, rain, air temperature and humidity. Sampling Frequency: Parameters are measured at 10 minute intervals, and most years include measurements from mid/late May through October. Measurements were stopped in the fall once the lake had turned over.
Baseline Water Quality Monitoring to support restoration efforts in the Cache Slough Complex, 2013-2021.
The Cache Slough Complex is an ecologically significant area, with many restoration efforts of various kinds set to take place within its boundaries. These efforts which are tied to regulations set forth by the Biological Opinion, will have unknown impacts to in‐stream water quality. For this reason, the Department of Water Resources’ Water Quality Assessment (WQA) unit developed a monitoring program to establish baseline water quality measurements to help understand the environmental impact of these restoration projects and ensure pre‐restoration water quality data is available to compare against post-restoration water quality. To do so, data was collected at various sites that represent all major inputs and outflows within the Cache Slough Complex from September 2013 to December 2021.
LAGOS Lake nutrient, carbon and chlororphyll data to evaluate biases in lake water quality sampling practices in a 17-state region of the US
This dataset includes data for eight major limnological variables in LAGOS-NE_LIMNO v. 1.087.1 that were used to evaluate biases in lake water quality sampling and implications for macroscale research (Stanley et al. In Revision, Limnology and Oceanography). Most observations came from LAGOS-NE_LIMNO v. 1.087.1, an integrated database of lake ecosystems (Soranno et al. 2015, Soranno et al. 2017) but were supplemented with additional data from the State of New Hampshire. LAGOS-NE contains information on lakes great than or equal to 1 ha (originally derived from the U.S. Geological Survey's 2013 National Hydrography Dataset) for a 17-state region of the U.S., and a subset of the lakes has observational data on lake chemistry and productivity. Approximately 87 different sources of data were compiled for the LAGOS-NELIMNO v. 1.087.1 dataset and were mostly generated by government agencies (state, federal, tribal) and universities. In this analysis, we compiled data for eight major limnological variables (Secchi disk depth, chlorophyll, total phosphorus, total nitrogen, nitrate, ammonium, true water color, and dissolved organic carbon) and geographic characteristics of lakes (location, lake area, depth, perimeter, watershed area) to evaluate biases in different limnological properties over space and time.
High-frequency time series of stage height, stream discharge, and water quality (specific conductivity, dissolved oxygen, pH, temperature, turbidity) for Stroubles Creek in Blacksburg, Virginia, USA 2013-2018
A pressure transducer (CS450, Campbell Scientific Inc., Logan, UT, USA) and a multi-parameter water quality sonde (YSI Series 6:6920 v2, YSI Inc., Yellow Springs, OH, USA) were deployed by the Virginia Tech Biological Systems Engineering (BSE) Stream Research, Education, and Management (StREAM) Lab (vtstreamlab.weebly.com/) from January 2013 to December 2018 to assess stage and water quality, and calculate discharge in Stroubles Creek, Blacksburg, VA (4118326.215 N, 549236.02 W). Stroubles Creek is a 19 km tributary of the New River in Blacksburg, Virginia, USA. Stroubles Creek begins immediately below the Virginia Tech campus and flows north into the Kanawha River in the Valley and Ridge physiographic province. Stroubles Creek was a historic water supply for the town of Blacksburg and remains a highly visible waterway in the town, as it traverses both the downtown area and much of the Virginia Tech campus. In 2002, Stroubles Creek was placed on Virginia’s 303(d) list of impaired water bodies with a benthic impairment by the Virginia Department of Environmental Quality (VADEQ). A total maximum daily load (TMDL) plan was subsequently developed in 2003 for the stream in collaboration with Virginia Tech’s BSE department, the Virginia Department of Environmental Quality, and the Virginia Department of Conservation and Recreation. During 2008-2010, a 2.1 km reach of Stroubles Creek, mostly upstream of the StREAM Lab, was restored by means of cattle exclusion, natural revegetation, bank reshaping, and creating an inset floodplain. The water quality dataset provided here is associated with the upper Stroubles Creek watershed which drains approximately 14.5 km2. Currently, data from the StREAM Lab are used by 8-10 faculty and their graduate students in 7 departments across 5 colleges at Virginia Tech for research and at least 16 classes for field labs and/or assignments.
Water Quality Data from Bethel and Stephens Lakes, Columbia, Missouri 2017-2019
This data set encompasses approximately weekly to biweekly water quality samples from Bethel and Stephens Lakes in Columbia, Missouri. The samples were collected as part of the Reservoir Observer Student Scientists Program to examine year-round water quality parameters in these urban reservoirs. Samples were collected by high school students, college students, and staff of the University of Missouri Limnology Laboratrory. Six samples at Stephens Lake were collected by volunteer community scientists as part of the Lakes of Missouri Volunteer Program. Bethel Lake was sampled November 2017 through November 2019, and Stephens Lake was sampled November 2018 through November 2019. Temperature data was obtained from Onset HOBO temperature data loggers that were deployed in 0.5-m increments from the bottom of the reservoirs to within 1 m of the surface.
Hedonic Modeling Data for Land Use Regulations and Water Quality in Buncombe County, N.C.
The State of North Carolina's Water Supply Watershed Protection Act of 1989 required local governments to adopt land use measures selected watersheds to protect the water supply emanating from those watersheds. We examine vacant land prices in and around the Ivy River watershed of Buncombe County, NC, at the time such regulation took effect in 1998. Our results suggest that costs of watershed development restrictions are borne primarily by those vacant land owners in the watershed for whom the development restrictions make land subdivision infeasible. We find benefits accruing to land owners on the public water supply or who are adjacent to creeks.
Year 2003, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth near the mouth of Plum Island Sound, Massachusetts
Year 2003, 15 minute measurements of water column temperature, salinity, oxygen and depth in Plum Island Sound at the Ipswich Bay Yacht Club, Ipswich, MA.
Year 2004, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth near the mouth of Plum Island Sound, Massachusetts
Year 2004, 15 minute measurements of water column temperature, salinity, oxygen and depth in Plum Island Sound at the Ipswich Bay Yacht Club, Ipswich, MA.
Year 2005, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth near the mouth of Plum Island Sound, Massachusetts
Year 2005, 15 minute measurements of water column temperature, salinity, oxygen and depth in Plum Island Sound at the Ipswich Bay Yacht Club, Ipswich, MA.
Year 2006, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth near the mouth of Plum Island Sound, Massachusetts
Year 2006, 15 minute measurements of water column temperature, salinity, oxygen and depth in Plum Island Sound at the Ipswich Bay Yacht Club, Ipswich, MA.
Year 2014, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth near the mouth of Plum Island Sound, Massachusetts
Year 2014, 15 minute measurements of water column temperature, salinity, oxygen and depth in Plum Island Sound at the Ipswich Bay Yacht Club, Ipswich, MA.
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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.