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40 results for “Water turbidity”
Time series of high-frequency sensor data measuring water temperature, dissolved oxygen, conductivity, specific conductance, total dissolved solids, chlorophyll a, phycocyanin, turbidity, and fluorescent dissolved organic matter at discrete depths in Carvins Cove Reservoir, Virginia, USA in 2020-2025
We monitored water quality in Carvins Cove Reservoir (Roanoke, Virginia, USA; 37.3697 -79.958) with high-frequency (10-minute) sensors in 2020-2025. Carvins Cove Reservoir is owned and managed by the Western Virginia Water Authority as a primary drinking water source. This data package consists of datasets from two separate deployments. First, from July 2020 - August 2021, depth profiles of water temperature were measured on 1-meter intervals using HOBO temperature pendant loggers deployed from 0.1 m below the surface of the reservoir to 10 m depth, and also at 15 and 20 m depth. Additionally, water temperature was measured in the Sawmill Branch inflow at 0.5 m depth using HOBO temperature pendant loggers. Second, from 9 April 2021 - 31 December 2025, depth profiles of water temperature were measured on 1-meter intervals from 0.1 m below the surface of the reservoir to 11 m depth and additionally at 15 and 19 m. A YSI EXO2 sonde measured water temperature, conductivity, specific conductance, chlorophyll a, phycocyanin, total dissolved solids, dissolved oxygen, and fluorescent dissolved organic matter at ~1.5 m depth. A YSI EXO3 sonde measured water temperature, conductivity, specific conductance, total dissolved solids, dissolved oxygen, and fluorescent dissolved organic matter at ~9 m depth, which corresponds to the depth of a water outtake valve. The thermistors, EXO3 sonde, and pressure sensor were deployed at stationary, fixed elevations (referred to as positions) deployed off of the dam near the water outtake valves. Due to variable water levels in the reservoir, the depths of these sensors varied over time. In contrast, the EXO2 was deployed on a buoy from 2021-2022 and remained at 1.5 m depth as the water level fluctuated. However, in 2023, the buoy disappeared in a storm, and after that the EXO2 was deployed at a stationary elevation as the water level fluctuated around the sensor. The EXO2 was redeployed on the buoy in 2024. The monitoring site's maximum de
Time series of high-frequency sensor data measuring water temperature, dissolved oxygen, pressure, conductivity, specific conductance, total dissolved solids, chlorophyll a, phycocyanin, fluorescent dissolved organic matter, and turbidity at discrete depths in Falling Creek Reservoir, Virginia, USA in 2018-2025
We monitored water quality in Falling Creek Reservoir (Vinton, Virginia, USA; 37.30325 -79.8373) with high-frequency (10-minute) sensors in 2018-2025. All variables were measured at the deepest site of the reservoir adjacent to the dam. Falling Creek Reservoir is owned and managed by the Western Virginia Water Authority as a primary drinking water source for Roanoke, Virginia. This data product consists of one dataset compiled of depth profiles of water temperature on 1-m intervals from 0.1 to 9 m depth; dissolved oxygen at 5 m and 9 m depth; pressure at 9 m depth; and temperature, dissolved oxygen, conductivity, specific conductance, chlorophyll a, phycocyanin, total dissolved solids, fluorescent dissolved organic matter, turbidity, and pressure at ~1.6 m depth. The dataset is accompanied by a sensor maintenance log and quality assurance/quality control analysis scripts.
Time series of high-frequency sensor data measuring water temperature, dissolved oxygen, conductivity, specific conductance, total dissolved solids, chlorophyll a, phycocyanin, fluorescent dissolved organic matter, and turbidity at discrete depths, and water level in Beaverdam Reservoir, Virginia, USA in 2009-2025
We monitored water level and water quality in Beaverdam Reservoir (Vinton, Virginia, USA; 37.31288, -79.8159) with visual observations and high-frequency (10- to 15-minute resolution) sensors in 2009-2025. All variables were measured at the deepest site of the reservoir adjacent to the dam. Beaverdam Reservoir is owned and managed by the Western Virginia Water Authority as a secondary drinking water source for Roanoke, Virginia. This data package is comprised of three datasets: 1) bvre-waterlevel_2009_2025.csv, 2) bvre-sensorstring_2016_2020.csv, and 3) bvre-waterquality_2020_2025.csv. 1) bvre-waterlevel_2009_2025.csv contains water level observations of the staff gauge at a platform near the reservoir's dam by both the Western Virginia Water Authority and the Virginia Tech Reservoir Group LTREB field crew. This dataset spans 2009 to 2025, with data collection still ongoing. 2) bvre-sensorstring_2016_2020.csv consists of a water temperature profile at ~1-meter intervals from the surface of the reservoir to 10.5 m below the water, complemented by intermittent data collected by a dissolved oxygen logger deployed at 5 m or 10 m. A sonde measuring water temperature, conductivity, specific conductance, chlorophyll a, phycocyanin, total dissolved solids, dissolved oxygen, fluorescent dissolved organic matter, and turbidity was additionally deployed at ~1.5 m depth. This dataset spans 2016 to 2020, with no additional data collection beyond the last observation. The third dataset is bvre-waterquality_2020_2025.csv, with data collection still ongoing and an accompanying maintenance log. This dataset contains: a) a temperature string with 13 temperature sensors deployed ~1 m apart from the surface to 0.5 m above the sediments of the reservoir; b) two dissolved oxygen sensors, one in the middle of the string and one sensor above the sediments; and c) a pressure sensor just above the sediments. The same sonde from the first 2016-2020 dataset is also included in this 2020-2025 d
Water-column conductivity, salinity, dissolved oxygen, turbidity, and pH by deployed sonde during tidal creek lateral exchange measurements approximately every 5 minutes from beginning of flood tide to the following low tide, Rowley, MA, PIE LTER.
Measurement of water-column conductivity, salinity, temperature, dissolved oxygen, turbidity, and pH logged by deployed sonde in tidal creek systems draining predominantly low-elevation marsh dominated by Spartina alterniflora (LM1 and LM2) and high-elevation marsh dominated by Spartina patens (West, Nelson, HM1). Creeks are located in Rowley, MA, PIE LTER.
PIE LTER YSI EXO2 sonde 15-minute interval water quality measurements of water column temperature, salinity, oxygen, pH, algae, fluorescent dissolved organic matter, turbidity, and depth at four sites in the Plum Island Estuary in year 2023.
Four YSI EXO2 water quality sondes were deployed from May 2023 to October 2023 at four sites in the Plum Island Estuary. One was at the mouth of the sound at the Ipswich Bay Yacht Club, one in the Rowley River, and two in the Parker River. The sondes measured water column temperature, salinity, oxygen, pH, algae, organic matter, turbidity, and depth in 15-minute intervals.
PIE LTER YSI EXO2 sonde 15-minute interval water quality measurements of water column temperature, salinity, oxygen, pH, algae, fluorescent dissolved organic matter, turbidity, and depth at four sites in the Plum Island Estuary in year 2024.
Four YSI EXO2 water quality sondes were deployed from April 2024 to October 2024 at four sites in the Plum Island Estuary. One was at the mouth of the sound at the Ipswich Bay Yacht Club, one in the Rowley River, and two in the Parker River. The sondes measured water column temperature, salinity, oxygen, pH, algae, organic matter, turbidity, and depth in 15-minute intervals.
PIE LTER YSI EXO2 sonde 15-minute interval water quality measurements of water column temperature, salinity, oxygen, pH, algae, fluorescent dissolved organic matter, turbidity, and depth at four sites in the Plum Island Estuary in year 2025.
Four YSI EXO2 water quality sondes were deployed from May 2025 to November 2025 at four sites in the Plum Island Estuary. One was at the mouth of the sound at the Ipswich Bay Yacht Club, one in the Rowley River, and two in the Parker River. The sondes measured water column temperature, salinity, oxygen, pH, algae, organic matter, turbidity, and depth in 15-minute intervals.
Sonic Kayaks geolocated air pollution, water turbidity, temperature and hydrophone analysis
<p>These data sets are the result of five trips using <a href="https://fo.am/activities/kayaks/">Sonic Kayaks</a> to collect data as part of the <a href="https://actionproject.eu/">ACTION Project</a>. The sampling was carried out in the Penryn river, around Falmouth docks and the Helford estuary. A variety of sensors were used:</p> <ol> <li>Thermometer recording water temperature.</li> <li>PMS7003 air pollution sensor recording a variety of particulate sizes.</li> <li>DolphinEar DE PRO hydrophone for detecting noise pollution and biological signals.</li> <li>A custom turbidity sensor to detect changes in water cloudiness.</li> </ol> <p>The sound has been processed in this data set in order to classify sound sources from different boat engines. More information, source code and <a href="https://github.com/fo-am/sonic-kayaks/wiki">open hardware plans for construction can be found here</a>.</p>
Water Turbidity Masks Doñana 1984/2019
<p>Time Series water turbidity derived from Landsat TM, ETM+ & OLI in the Path 202 Row 34 (Doñana). Also, the product and its metadata are freely available to consult or downloaded in the LAST-EBD Cartography Server: http://mercurio.ebd.csic.es/imgs/</p> <p>Teh methodology is described in the paper: Empirical models to estimate water turbidity from reflectance data from TM or ETM+ Landsat sensors in shallow wetlands such as Doñana marshes. See the reference: Bustamante, J. et al. 2009. Predictive models of turbidity and water depth in the Doñana marshes using Landsat TM and ETM+ images. Journal of Environmental Management. 90:2219-2225.https://doi.org/10.1016/j.jenvman.2007.08.021.</p>
Year 2000, 30 minute interval, water quality measurements of water column temperature, salinity, oxygen, depth, and turbidity in the upper Parker River Estuary at Middle Road Bridge
Year 2000, Continuous, 30 minute time interval, water quality measurements of water column temperature, salinity, conductivity, oxygen, depth, and turbidity in the upper Parker River Estuary at Middle Road Bridge, Newbury, MA.
Year 2001, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, depth, and turbidity in the upper Parker River Estuary at Middle Road Bridge
Year 2001, Continuous, 30 minute time interval, water quality measurements of water column temperature, salinity, conductivity, oxygen, depth, and turbidity in the upper Parker River Estuary at Middle Road Bridge, Newbury, MA.
Year 2002, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, depth, and turbidity in the upper Parker River Estuary at Middle Road Bridge
Year 2002, Continuous, 30 minute time interval, water quality measurements of water column temperature, salinity, conductivity, oxygen, depth, and turbidity in the upper Parker River Estuary at Middle Road Bridge, Newbury, MA.
Dataset of sampled and/or logged Chlorophyll, Total Suspended Matter, Turbidity and Water temperature in Dutch Case study areas
<p>Dataset of sampled and/or logged Chlorophyll, Total Suspended Matter, Turbidity and Water temperature in Dutch Case study areas at multiple stations in 2018, 2019 and 2020.</p>
Increased water temperature and turbidity act independently to alter social behaviour in guppies (Poecilia reticulata)
<p>Changes in environmental conditions can shift the costs and benefits of aggregation or interfere with the sensory perception of near neighbours. This affects group cohesion with potential impacts on the benefits of collective behaviour such as reduced predation risk. Organisms are rarely exposed to one stressor in isolation, yet there are only a few studies exploring the interactions between multiple stressors and their effects on social behaviour. Here we tested the effects of increased water temperature and turbidity on refuge use and three measures of aggregation in guppies (<em>Poecilia</em> <em>reticulata</em>), increasing temperature and turbidity in isolation or in combination. When stressors were elevated in isolation, the distribution of fish within the arena as measured by the index of dispersion became more aggregated at higher temperatures but less aggregated when turbidity was increased. Another measure of cohesion at the global scale, the mean inter-individual distance, also indicated that fish were less aggregated in turbid water. This is likely due to turbidity acting as a visual constraint, as there was no evidence of a change in risk perception as refuge use was not affected by turbidity. Fish decreased refuge use and were closer to their nearest neighbour at higher temperatures. However, nearest-neighbour distance was not affected by turbidity, suggesting that local-scale interactions can be robust to the moderate increase in turbidity used here (5 NTU) compared to other studies which show a decline in shoal cohesion at higher turbidity (>100 NTU). We did not observe any significant interaction terms between the two stressors, indicating no synergistic or antagonistic effects. Our study suggests that the effects of environmental stressors on social behaviour may be unpredictable and dependent on the metric used to measure cohesion, highlighting the need for mechanistic studies to link behaviour to the physiology and sensory effects of environmental stressors.</p>
Increased water temperature and turbidity act independently to alter social behaviour in guppies (Poecilia reticulata)
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Data from: Enhanced conspicuousness of prey in warmer water mitigates the constraint of turbidity for predators
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Different approaches to processing environmental DNA samples in turbid waters have distinct effects for fish, bacterial and archaea communities
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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.
High-frequency sensor turbidity data collected by Stroud Water Research Center in a meadow reach of White Clay Creek site ID WCC017 from January 2014 through May 2021
High-frequency sensor data from a Campbell Scientific OSB3 (every 5-minutes) in a recovery reach at White Clay Creek from January 2014 through May 2021. Funded by NSF and DEB as part of the LTREB grant to study the recovery of stream ecosystem structure and function during reforestation, Stroud Water Research Center. The parameter in this data package is turbidity. Data are presented in two tables which likely have significant overlap. The raw data table presents the data exactly as it was downloaded from the Aquarius Database. It is formatted as a "wide" human-readable table. Turbidity at White Clay Creek Site WCC017 since 2014 OSB3 presents only the data from the respective sensors. These tables are gap filled for intervals greater than 10 minutes and less than 24 hours, formatted as a "wide" human-readable table. All of the parameters and table are further explained in the metadata.
Drivers of spatiotemporal variability in bycatch of a top marine predator: First evidence for the role of water turbidity in protected species bycatch
1. Bycatch of protected species in static net fisheries is a global conservation concern and is currently considered the dominant anthropogenic threat to many marine mammal species worldwide. Effective bycatch mitigation remains challenging, contingent on an understanding of the underlying mechanisms that cause individuals to become entangled. 2. We combined data collected by scientific observers and fishers to identify predictors of seal bycatch in static net fisheries along the west, southwest, and south coasts of Ireland. We first analysed the broad regional and seasonal trends in seal bycatch before identifying environmental variables that could potentially explain these patterns. 3. Based on negative binomial generalised linear mixed effects models, the rate of seal bycatch significantly varied with season and region, and decreased at greater distances to major seal colonies and lower water turbidity. 4. Synthesis and applications. Our results suggest that distance to major seal colonies was a significant driver of the observed regional differences in seal bycatch rates, and water turbidity a major driver of seasonal trends. These findings will enable us to identify future bycatch risk and target mitigation measures accordingly. This is the first study to identify the effect of water turbidity on bycatch of a protected marine species. Increasing net visibility in turbid waters may provide a novel approach to mitigating against protected species bycatch in static net fisheries.05-Nov-2019
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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)
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DANDI Archive for NWB datasets
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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.