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162 results for “Water quality data”
Supplementary Data and Codes for "Machine Learning Based Long-term Water Quality in the Turbid Pearl River Estuary, China"
<p>The file "Ma_AGUSupplementary.xlsx" contains the in situ data used to develop the ANN model.</p> <p>The files "example_Chla.zip" and "example_TSS.zip" contain codes for retrieving the concentration of Chl-a and TSS on the sea surface of the Pearl River Estuary.</p> <p> </p>
Reservoir water quality data
<span><span><span><span>Potable source-water reservoirs are the main water supplies in many urbanizing regions, yet their long-term responses to cultural eutrophication are poorly documented in comparison to natural lakes, creating major management uncertainties. </span></span><span><span>Here, long-term discrete data (</span></span><span><span>June 2006–June 2018</span></span><span><span>) for classical eutrophication water quality indicators, continuous depth-profile data for dissolved oxygen (DO), and an enhanced hybrid statistical trend analysis model were used to evaluate the eutrophication status of a potable source-water reservoir. Based on classical indicators (nitrogen - N and phosphorus - P concentrations and ratios; phytoplankton biomass as chlorophyll a, chla; and trophic state indices), the reservoir was eutrophic to hypereutrophic and stoichiometrically imbalanced. Anoxia/hypoxia occurred for 7-8 months annually system-wide, even throughout the water column for days to weeks in some years; and elevated total ammonia (up to ~900 µg tNH<sub>3 </sub>L<sup>-1</sup>) in surface waters from late summer/fall through late winter/early spring suggested substantial internal legacy nutrient loading. These surprising DO and tNH<sub>3 </sub>phenomena may characterize many reservoirs in urbanizing areas, and the associated cascade of negative impacts may increasingly affect them under global warming. Total organic carbon (TOC), seasonally influenced by phytoplankton biomass, commonly exceeded 6 mg L<sup>-1</sup> which is problematic for potable water treatment, and significantly trended up over time. Wet-year inflow dilution influenced an apparent decreasing trend in nutrients within the hypereutrophic upper reservoir, which receives most tributary inputs. Nevertheless, significant reservoir-wide trends (increasing TP, phytoplankton chla, TOC) and mid- and/or lower region trends (increasing TN, tNH<sub>3</sub>, decreasing TN:TP ratios) suggest that water quality degradation from eutrophication has worsened over time. </span></span><span><span>These findings support broadly applicable recommendations to strengthen protection of potable source-water reservoirs in urbanizing watersheds: (i) Protective numeric water quality criteria are needed for TOC as well as TN, TP, and chla; (ii) Continuous diel data capture more realistic DO conditions than traditional sampling, and can provide important insights for water treatment managers; and (iii) Assessment of reservoir eutrophication status to track management progress over time should emphasize classic indicators equally as statistical trends, which are highly sensitive to short-term meteorological forcing.</span></span></span></span>
Submerged aquatic vegetation, water quality (pH, salinity, and turbidity) and waterfowl abundance data from 1991-2017 in Back Bay, Virginia
<p><span>Back Bay, Virginia, has been documented as an important foraging area for waterfowl since at least the mid-1800s. Expansive submerged plant beds historically supported diverse assemblages of non-breeding waterfowl, however coastal development and other anthropogenic influences have since led to fluctuations in submerged aquatic vegetation (SAV) and an associated decline in waterfowl abundance in the bay. To gain insight into the effects of environmental drivers on waterfowl foraging guilds, our study explores the effects of SAV frequency and water quality on the abundance of dabbling ducks, diving ducks, and swans and geese in Back Bay. We use 8 years of SAV, water quality, and waterfowl monitoring data collected by state and federal agencies to model the effects of salinity, turbidity, pH, and percent frequency of SAV on the relative abundance of waterfowl by foraging guild in Back Bay. The appropriateness of the data and reasonability of the preliminary results were then evaluated through semi-structured interviews with 11 local informants representing state, federal, and non-governmental organizations. Quantitative results indicated that dabbling ducks are affected differently than other guilds by water quality and percent frequency of SAV. Thematic analysis of the interview data revealed a number of potential explanations for the model results, as well as highlighted areas of uncertainty in need of further research. In a test of face validity, participants demonstrated a significant degree of belief in turbidity, salinity, and SAV as drivers of waterfowl abundance, but were not convinced by the potential effects of pH as demonstrated by the model. This mixed methods study provides insights that could potentially influence the management and conservation of non-breeding waterfowl populations by challenging the assumption that particular environmental conditions serve all foraging groups equally.</span></p>
Data from: Integrating water quality monitoring and diatom community trends to determine landscape-level change in protected lakes.
<p>These data represent water quality measurements and diatom counts from surface sediments collected from lakes in five National Park units in the Great Lakes Region (USA) between 2005 and 2018. Water quality measurements were made three times annually during the growing season; data are presented as growing season means. Surface sediment samples were collected from the same lakes every 3-5 years over more than a decade to analyze diatom community turnover. Diatom data are presented as proportions relative to total diatom counts in each sample; only taxa occuring at 2% or greater in a given park were included. </p>
Data: The effects of glucose addition and water table manipulation on peat quality of drained peatland forests with different management practices
<p>The file contain data on peat chemical quality and peat decomposition. We studied how glucose addition, water table and forest harvesting affect the chemical composition of peat and decomposition rate (carbon dioxide fluxes) and soil water quality. Experiments and results are presented in:</p> <p>Aaltonen H., Zhu X., Khatun R., Laurén A., Palviainen M., Könönen M., Peltomaa E., Berninger F., Köster K., Ojala A., Pumpanen J. 2022. The effects of glucose addition and water table manipulation on peat quality of drained peatland forests with different management practices. Soil Science Society of America Journal 86:1625–1638. <a href="https://doi.org/10.1002/saj2.20419">https://doi.org/10.1002/saj2.20419</a></p> <p> </p>
Meteorological, hydrological and water quality data of the Bahe River
<p>This dataset includes climate data from 1951 to 2020, and monthly streamflow, sediment, total nitrogen (TN), and phosphorus (TP) concentrations data observed from 2016 to 2020 for Bahe River Basin. The data is intended for research on SWAT setup, calibration, and validation.</p>
Water Quality Data - Four Lakes in Kraków, Poland
<p>This dataset provides comprehensive water quality measurements from four lakes in Kraków, Poland: Staw Płaszowski, Zalew Nowohucki, the Pond in Park Lotników, and Staw Dąbski. It includes key parameters such as chlorophyll-a concentration, cyanobacteria levels, and turbidity. Additionally, Trophic State Index (TSI) values for each lake have been calculated based on the Carlson (1977) method.</p> <p> </p>
The streamflow and water quality data for two catchments in the Bavarian Forest National Park, Germany
<p>This dataset was used in a study to support modeling simulations of catchment runoff and nitrogen export in streams following forest dieback caused by bark beetles.</p> <p>Große Ohe data were provided by the Bavarian Environment Agency (LFU) (https://www.lfu.bayern.de/wasser/gewaesserqualitaet_fluesse/messnetze/index.htm).<br>The data are available from the Gewässerkundlicher Dienst:<br>For runoff:<br>https://www.gkd.bayern.de/en/rivers/discharge/passau/taferlruck-17413000<br>For runoff chemistry:<br>https://www.gkd.bayern.de/de/fluesse/chemie/passau/taferlruck-messstation-11801/gesamtzeitraum</p> <p>Forellenbach data were provided by the Federal Environment Agency (UBA).<br>The Forellenbach catchment is part of the Integrated Monitoring Programme under the UNECE Convention on Long-Range Transboundary Air Pollution (1979). https://www.umweltbundesamt.de/themen/luft/messenbeobachtenueberwachen/medienuebergreifendes-monitoring-in-der#icp-integrated-monitoring</p> <p>The main runoff and runoff chemistry data used in the study are shown in the file, and please see original data sources for more information.</p>
Data from: Asymmetric introgression between fishes in the Red River basin of Texas is associated with variation in water quality
When ecologically divergent taxa encounter one another, hybrid zones can form when reproductive isolation is incomplete. The location of such hybrid zones can be influenced by environmental variables, and an ecological context can provide unique insights into the mechanisms by which species diverge and are maintained. Two ecologically differentiated species of small benthic fishes, the endemic and imperiled prairie chub, Macrhybopsis australis, and the shoal chub, Macrhybopsis hyostoma, are locally sympatric within the upper Red River Basin of Texas. We integrated population genomic data and environmental data to investigate species divergence and the maintenance of species boundaries in these two species. We found evidence of advanced-generation asymmetric hybridization and introgression, with shoal chub alleles introgressing more frequently into prairie chubs than the reciprocal. Using a Bayesian Genomic Cline framework, patterns of genomic introgression were revealed to be quite heterogeneous, yet shoal chub alleles were found to have likely selectively introgressed across species boundaries significantly more often than prairie chub alleles, potentially explaining some of the observed asymmetry in hybridization. These patterns were remarkably consistent across two sampled geographic regions of hybridization. Several environmental variables were found to significantly predict individual admixture, suggesting ecological isolation might maintain species boundaries.
Data on physico-chemical quality and microbial community level physiological profiles of drinking water and freshwater resources in Mega Manila Philippines
<p><strong>Samples of drinking water and freshwater resources in Mega Manila, Philippines were analyzed for physical and chemical quality as well as physiological profiles of microbial communities. Temperature, pH, oxidation-reduction potential, absolute conductivity, resistivity, total dissolved solids, salinity, pressure, and dissolved oxygen were measured using a multi-parameter probe and reported as averages from three biological replicates per sample. Detection and quantification of arsenic were carried out via 3114 B: Hydride Generation AAS method, while analysis for lead and cadmium was carried out via 3111 B: Direct Air-Acetylene Flame method. Detection and quantification of mercury was performed via Inductively Coupled Plasma-Optical Emission Spectroscopy (ICP-OES). Detection and quantification of polyaromatic hydrocarbons (PAHs) and organochlorine pesticides (OCPs) were carried out via Gas Chromatography-Mass Spectrometry (GC-MS) and Gas Chromatography-Electron Capture Detection (GC-ECD). Assessment of the physiological activities of microbial communities in the water samples was done using the Biolog EcoPlateTM system. Eight samples returned less than the minimum detection limit for analysis of heavy metals and no samples contained polyaromatic hydrocarbons and organochlorine pesticides. In terms of microbial community physiological profiles, 66% of the samples (19 out 29) are found to demonstrate consistent increases in AMR and CMD over time. These data can be reused as comparators for retrospective and prospective quality assessments of drinking water and freshwater sources.</strong></p>
Biogeosciences paper data for Hasanyar et al. "How much do bacterial growth properties and biodegradable dissolved organic matter control water quality at low flow?"
<p>The proposed dataset is related to the following publication:<br> Hasanyar, M., Romary, T., Wang, S., Flipo, N. (2023) How much do bacterial growth properties and biodegradable dissolved organic matter control water quality at low flow? Biogeosciences</p> <p>It consists in command files for the c-rive0.32 software available here<br> Shuaitao Wang, Lauriane Vilmin, Masihullah Hasanyar, & Nicolas Flipo. (2023). C-RIVE (0.32). Zenodo. https://doi.org/10.5281/zenodo.7849609</p> <p><br> To run the model :<br> 1. Compile crive0.32<br> 2. Copy the executable in the current directory<br> 3. In a terminal launch<br> > ./crive0.32 ./sensitivity.COMM test.log</p> <p>The “sensitivity.COMM” holds the settings for the C-RIVE simulation related to the paper mentioned in the front head of the current file<br> The information on different parameters of “sensitivity.COMM” are included in “layers”, “meteo” and “param_bio” folders.<br> The layer folder holds the information about the initial conditions of the model (Table 2 in the article).<br> The “meteo” folder holds the meteorological information and finally the “param_bio” folder holds the information on physiology of bacteria, phytoplankton and other model species.</p> <p><br> The output files are written in $HOME/OUTPUT_CRIVE. It is possible to change it directely in sensitivity.COMM, second entry 'OUTPUT_FOLDER'</p>
Application of deep neural networks to reconstruct coastal water quality data
<p>In this study ordinary and new integrated deep neural networks were developed for the reconstruction of measured specific conductance (<em>SC</em>) data. Five stations of USGS in the Gulf of Mexico were considered as case study.</p>
Reservoir water quality data
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Data from: Separating the effects of water quality and urbanization on temperate insectivorous bats at the landscape scale
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Data from: Asymmetric introgression between fishes in the Red River basin of Texas is associated with variation in water quality
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Data from: Do agri-environment schemes result in improved water quality?
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Submerged aquatic vegetation, water quality (pH, salinity, and turbidity) and waterfowl abundance data from 1991-2017 in Back Bay, Virginia
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Data from: Effects of macrophytes on lake‐water quality across latitudes: a meta‐analysis
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Data from: Integrating water quality monitoring and diatom community trends to determine landscape-level change in protected lakes.
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Data from: Impact of hydromorphological pressures on the macrophytes bioindicators of the ecological water quality in Mediterranean rivers
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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.