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484 results for “water quality”
Year 2014, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth in the upper Parker River Estuary near Middle Road Bridge, Newbury, MA.
Year 2014, water quality sonde data.15 minute readings of water column temperature, salinity, oxygen and depth in the upper Parker River Estuary near Middle Rd Bridge, Newbury, MA
Year 2015, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth in the upper Parker River Estuary near Middle Road Bridge, Newbury, MA.
Year 2015, water quality sonde data.15 minute readings of water column temperature, salinity, oxygen and depth in the upper Parker River Estuary near Middle Rd Bridge, Newbury, MA
Year 2016, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth in the upper Parker River Estuary near Middle Road Bridge, Newbury, MA.
Year 2016, water quality sonde data.15 minute readings of water column temperature, salinity, oxygen and depth in the upper Parker River Estuary near Middle Rd Bridge, Newbury, MA
Year 2017, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth in the upper Parker River Estuary near Middle Road Bridge, Newbury, MA.
Year 2017, water quality sonde data.15 minute readings of water column temperature, salinity, oxygen and depth in the upper Parker River Estuary near Middle Rd Bridge, Newbury, MA
Year 2018, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth in the upper Parker River Estuary near Middle Road Bridge, Newbury, MA.
Year 2018, water quality sonde data.15 minute readings of water column temperature, salinity, oxygen and depth in the upper Parker River Estuary near Middle Rd Bridge, Newbury, MA
Year 2019, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth in the upper Parker River Estuary near Middle Road Bridge, Newbury, MA.
Year 2019, water quality sonde data.15 minute readings of water column temperature, salinity, oxygen and depth in the upper Parker River Estuary near Middle Rd Bridge, Newbury, MA
Year 2015, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth, mid-estuary in Parker River near railroad bridge, Newbury, MA.
Year 2015, water quality sonde data.15 minute readings of water column temperature, salinity, oxygen and depth in the Parker River Estuary near the railroad bridge in Newbury, MA, mid-estuary, about 12.5 km upstream from mouth of Plum Island Sound.
Year 2016, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth, mid-estuary in Parker River near railroad bridge, Newbury, MA.
Year 2016, water quality sonde data.15 minute readings of water column temperature, salinity, oxygen and depth in the Parker River Estuary near the railroad bridge in Newbury, MA, mid-estuary, about 12.5 km upstream from mouth of Plum Island Sound.
Year 2017, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth, mid-estuary in Parker River near railroad bridge, Newbury, MA.
Year 2017 water quality sonde data.15 minute readings of water column temperature, salinity, oxygen and depth in the Parker River Estuary near the railroad bridge in Newbury, MA, mid-estuary, about 12.5 km upstream from mouth of Plum Island Sound
Year 2018, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth, mid-estuary in Parker River near railroad bridge, Newbury, MA.
Year 2018, water quality sonde data.15 minute readings of water column temperature, salinity, oxygen and depth in the Parker River Estuary near the railroad bridge in Newbury, MA, mid-estuary, about 12.5 km upstream from mouth of Plum Island Sound.
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.
Data and R-Scripts for "Quality and timing of crowd-based water level class observations"
<p>This are the data and the R-scripts used for the manuscript "Quality and timing of crowd-based water level class observations" accepted for publication in the journal Hydrological Processes in July 2020 as a Scientific Briefing. To run the code, just run the R-script with the name "RunThisForResults.R". Results will be written to the "Figures" and the "Results" folder.</p>
Water quality and diarrhoea bibliometric data and visualisation
<p>This repository contains bibliometric data and its visualisations:</p> <p>Bibliometric data</p> <ul> <li>Keyword: "water quality" AND diarrhoea</li> <li>Database: Scopus</li> <li>Date taken: 28 June 2017</li> <li>Formats: bib, csv, ris</li> <li>Reference manager: Jabref and Zotero</li> </ul> <p>Visualisations</p> <ul> <li>Tools: VosViewer (http://VosViewer.com)</li> <li>Tool's citation: Van Eck, N.J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. (paper, preprint, supplementary material) (http://dx.doi.org/10.1007/s11192-009-0146-3)</li> <li>Mindmap of analysis procedures using Freeplane https://www.freeplane.org/wiki/index.php/Main_Page</li> </ul>
Global River Water Quality Archive (GRQA)
<p>A major problem related to large-scale water quality modeling has been the lack of available observation data with a good spatiotemporal coverage. This has affected the reproducibility of previous studies and the potential improvement of existing models. In addition to the observation data itself, insufficient or poor quality metadata has also discouraged researchers to integrate the already available datasets. Therefore, improving both the availability and quality of open water quality data woould increase the potential to implement predictive modeling on a global scale. We aim to address the aforementioned issues by presenting the new Global River Water Quality Archive (GRQA) by integrating data from five existing global and regional sources: Canadian Environmental Sustainability Indicators program (CESI), Global Freshwater Quality Database (GEMStat), GLObal RIver Chemistry database (GLORICH), European Environment Agency (Waterbase) and USGS Water Quality Portal (WQP). The resulting dataset covering the timeframe 1898 - 2023 contains a total of over 17 million observations for 43 different forms of some of the most important water quality parameters, focusing on nutrients, carbon, oxygen and sediments. Supplementary metadata and statistics are provided with the observation time series to improve the usability of the dataset.</p> <p>GRQA <strong>data processing scripts</strong> are available at <a href="https://doi.org/10.5281/zenodo.5082147" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.5082147</a>.</p> <p><strong>Last update: 2025-05-04</strong></p> <p><strong>Changes since GRQA_v1.3</strong></p> <p>The updated dataset now includes the observations from the latest versions of GEMStat and Waterbase. These additions extend the time series to 2023 in many sites, particularly in Europe.</p> <p>An overview of all the files in the dataset can be found in README_v1.4.md.</p> <p>Statistical overview of all 43 parameters is given in the data catalog file GRQA_data_catalog_v1.4.pdf.</p> <p>For more information about the development of this dataset look for Virro, H., Amatulli, G., Kmoch, A., Shen, L., and Uuemaa, E.: GRQA: Global River Water Quality Archive, Earth Syst. Sci. Data, 13, 5483–5507, <a href="http://doi.org/10.5194/essd-13-5483-2021">https://doi.org/10.5194/essd-13-5483-2021</a>, 2021.</p>
Wildfires drive multi-year water quality degradation over the western U.S.
<p>Information on the 245 burned basins, 293 unburned basins, and 356 associated fires from across the U.S. West which were used in statistical analyses of post-wildfire water quality response. Included are physiographic characteristics, as well as ESRI Shapefile polygons representing delineations for each basin and fire. Additionally, daily carbon, nitrogen, phosphorus, sediment, and turbidity data sampled from the basins' outlets are provided from 1974-2022. R coding scripts used in data processing and modeling also included, as well as data directly used in generating manuscript and "Supplementary Information" plots.</p> <p>Water quality data used to create this dataset are from the Water Quality Portal and wildfire burn perimeters are from the Monitoring Trends in Burn Severity database.</p>
Reservoir water quality deterioration due to deforestation emphasizes the indirect effects of global change
<p><strong>This repository contains the dataset linked to the following publication:</strong></p> <p><strong>Article title:</strong> Reservoir water quality deterioration due to deforestation emphasizes the indirect effects of global change</p> <p><strong>Journal title: </strong>Water Research</p> <p><strong>Article Number: </strong>WR_118721</p> <p><strong>doi: </strong>https://doi.org/10.1016/j.watres.2022.118721</p> <p><strong>Abstract: </strong>Deforestation is currently a widespread phenomenon and a growing environmental concern in the era of rapid climate change. In temperate regions, it is challenging to quantify the impacts of deforestation on the catchment dynamics and downstream aquatic ecosystems such as reservoirs and disentangle these from direct climate change impacts, let alone project future changes to inform management. Here, we tackled this issue by investigating a unique catchment-reservoir system with two reservoirs in distinct trophic states (meso‑ and eutrophic), both of which drain into the largest drinking water reservoir in Germany. Due to the prolonged droughts in 2015–2018, the catchment of the mesotrophic reservoir lost an unprecedented area of forest (exponential increase since 2015 and ca. 17.1% loss in 2020 alone). We coupled catchment nutrient exports (HYPE) and reservoir ecosystem dynamics (GOTM-WET) models using a process-based modeling approach. The coupled model was validated with datasets spanning periods of rapid deforestation, which makes our future projections highly robust. Results show that in a short-term time scale (by 2035), increasing nutrient flux from the catchment due to vast deforestation (80% loss) can turn the mesotrophic reservoir into a eutrophic state as its counterpart. Our results emphasize the more prominent impacts of deforestation than the direct impact of climate warming in impairment of water quality and ecological services to downstream aquatic ecosystems. Therefore, we propose to evaluate the impact of climate change on temperate reservoirs by incorporating a time scale-dependent context, highlighting the indirect impact of deforestation in the short-term scale. In the long-term scale (e.g. to 2100), a guiding hypothesis for future research may be that indirect effects (e.g., as mediated by catchment dynamics) are as important as the direct effects of climate warming on aquatic ecosystems.<br> </p> <p><strong>Data description</strong><br> by Xiangzhen Kong (xiangzhen.kong@ufz.de; xzkong@niglas.ac.cn)<br> 2022-06-20</p> <p>1. Discharge in the streams from 2010 to 2021 at YRZ site, and from 2010 to 2020 at YHZ_Q site.</p> <ul> <li>File name: dat_discharge_stream_YRZ_YHZ_2010_2021_daily.csv</li> <li>Note: The data is at daily basis but also available at 15-min high frequency basis, which can be requested from the authors.</li> </ul> <p>2. Nitrate concentration in the streams from 2011 to 2019 at both YRZ and YHZ_Q sites.</p> <ul> <li>File name: dat_nitrate_stream_YRZ_YHZ_2011_2019_daily.csv</li> <li>Note: The data is at daily basis but also available at 15-min high frequency basis, which can be requested from the authors.</li> </ul> <p>3. Water quality data in the inflows from 2010 to 2021 at biweekly basis, from YRZ and YHZ_WQ sites.</p> <ul> <li>File name: dat_waterquality_stream_YRZ_YHZ_2010_2021_biweekly.csv</li> <li>Note: The data is at biweekly basis, measured at the depth of 0.5m under water surface, from both probe and lab.</li> </ul> <p>4. Water quality data in the predams from 2010 to 2021 at biweekly basis, from YR1 and YH1 sites.</p> <ul> <li>File name: dat_waterquality_predams_YR1_YH1_2010_2021_biweekly.csv</li> <li>Note: The data is at biweekly basis, measured at the depth of 0.5m under water surface, from both probe and lab.</li> </ul> <p>5. Water quality data in the predams from 2010 to 2015 at biweekely basis, from YR3 and YH3 sites.</p> <ul> <li>File name: dat_waterquality_predams_YR3_YH3_2010_2015_biweekly.csv</li> <li>Note: The data is at biweekly basis, measured at various water depth, only from lab.</li> </ul> <p>6. CTD and BBE probe profile data in the predams from 2010 to 2015 at biweekely basis, from YR3 and YH3 sites.</p> <ul> <li>Note: Data stored in the folder "probe_profiles_predam_YR3_YH3_2010_2015_biweekly". The data is at biweekly basis, measured at various water depths. The measurements include water temperature (Celcius), DO (mg/L), Chl-a (mg/m3), bluegreen, green and diatom (all in Chl-a, mg/m3)</li> </ul>
UK shale gas air and water quality data
<p>Datasets for UK coal bed methane compositions (Airth field), shale gas composition from Bowland shale operations and produced water composition from UK Airth field.</p>
Atmospheric, hydrodynamic and water quality observations from environmental-quality stations, water level sensors, acoustic Doppler velocimeters, and meteorological stations located at the Guadalquivir river estuary (2008 - 2010)
<p>The dataset included in this repository was obtained during the project entitled “Propuesta metodológica para diagnósticar las consecuencias de las actuaciones humanas en el estuario del Guadalquivir” funded by the Autoridad Portuaria de Sevilla (APS), by the Consejería de Innovación, Ciencia y Empresa (Junta de Andalucía), CTM2011-22580, MedEX (CTM2008-04036-E) and PR11-RNM-7722. The data were collected in real time from 2008 until 2010 with a remote monitoring system installed by the Institute of Marine Sciences of Andalusia (ICMAN-CSIC) (Navarro et al., 2011).</p> <p> </p> <p>The environmental quality station recorded turbidity, temperature, conductivity, normalized turbidity, dissolved oxygen, oxygen, oxygen saturation, percentage of oxygen saturation, fluorescence, normalized fluorescence, and salinity every thirty minutes. Current data were measured every 15 minutes by means of acoustic current profilers. The former datasets were obtained at several depths and different locations along the Guadalquivir estuary. Water level sensors recorded the position of the free water surface every 10 minutes at several locations along the Guadalquivir estuary. Wind velocity and direction and solar radiation were measured every 10 minutes in a meteorological station at the mouth of the Guadalquivir estuary.</p> <p>Brief description of dataset.</p> <ul> <li> <p>velocities.csv (in m/s)</p> </li> <li> <p>Turbidity.csv (in Volts), temperature (in Celsius), conductivity (in Siemens/m), normalized turbidity (in FNU), dissolved oxygen (mg/L), oxygen (in Volts), fluorescence (in Volts), normalized fluorescence (in Volts), oxygen saturation (mg/L), percentage of oxygen saturation (%), salinity (in PSU).</p> </li> <li> <p>qual_Salmedina.csv, R_mean (mean radiative flux in W/m²), R_max (max radiative flux in W/m²), Rel_humidity (relative humidity in %), D_mean (wind mean direction in degrees), D_max (wind maximum direction in degrees), D_sig (standard deviation of the wind direction in degrees), V_mean (mean wind velocity in m/s), V_max (maximum wind velocity in m/s), V_sig (standard deviation of the wind velocity in m/s), P_atm_mean (mean atmospheric pressure in mbar), T_mean (mean air temperature in Celsius), T_max (maximum air temperature in Celsius), T_sig (standard deviation of the air temperature in Celsius).</p> </li> <li> <p>Sealevel.csv (in meters)</p> </li> </ul> <p>A wide description of the datasets can be found in Navarro et al (2011).</p> <p>Contact person: infogdfa@ugr.es (or mcobosb@ugr.es)</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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