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484 results for “water quality”
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.
FIGURE 7 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)
FIGURE 7: Non-metric Multidimensional Scaling ordination plot for diatom assemblage similarity among transect sites. Bray-Curtis similarity is the distance metric. Two dimensional stress = 0.15.
FIGURE 2 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)
FIGURE 2: Stylized layout of a typical culvert site showing Tamiami Trail, the culvert and associated scourpool, the vegetation halo, transitional area, and locations of transect sampling sites and ISCO autosampler.
FIGURE 4 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)
FIGURE 4: Example of water column nutrient concentration from transect station water grab samples at culvert C47. 4a: Total nitrogen concentrations. 4b: Total phosphorus concentrations. Site names are represented by transect and location initials. For example NC is North transect, Central location.
FIGURE 6 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)
FIGURE 6: 6a: Mean taxonomic richness (r) by transect. Error bars denote 95% confidence interval. 6b: Mean Shannon Index (H') by transect. Error bars denote 95% confidence interval. Letters denote pairwise differences indicated by ANOVA.
FIGURE 1 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)
FIGURE 1: Map of South Florida highlighting the Florida Everglades and the northern boundary of Everglades National Park, showing the location of the Tamiami pilot spreader swales culvert sites.
FIGURE 3 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)
FIGURE 3: Trends in water column nutrient concentration and Tamiami canal stage during the study period from October 2009 through April 2010. 3a: Trends in total nitrogen concentration (µmol · L-1) at ISCO autosampler sites. 3b: Trends in total phosphorus concentration (µmol · L-1) at ISCO autosampler sites. 3c: Trends in Tamiami canal stage between S333 and S334 water control structures (South Florida Water Management District Data).
Water quality analysis from the Cozza-Guardati well in Lecce, before and after the ADV.ERT treatment
<p>Data from the demosite 1, Lecce, AQP facilities in Via Monteroni 118. Water quality data from the Cozza-Guardati well, before and after the treatment performed by the ADV.ERT module. </p>
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>
Water quality in Koukkuoja and Virolaistenoja
<p>Water quality in Koukkuoja and Virolaistenoja</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>
Dataset and correlation matrix of topography, water quality and the number of species of macrophytes in the Akan Caldera lakes, Japan (2013–2014).
<p>Akan Caldera lakes_1: Dataset of topography, water quality, and the number of species of macrophytes in the Akan Caldera lakes.</p> <p>Akan Caldera lakes_2: Diagram illustrating the classification of the watershed variables.</p> <p>Akan Caldera lakes_3: Correlation matrix of topography, water quality, and the number of species of macrophytes in the Akan Caldera lakes.</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>
Spatial Heterogeneity in Hedonic Price Effects for Lake Water Quality
<p>This database provides model results, elasticity estimates, and descriptive statistics for output from Spatial Heterogeneity in Hedonic Price Effects for Lake Water Quality manuscript. DOI: https://doi.org/10.3368/le.100.1.102122-0086R</p>
Water Temperature and Bowel Cleansing Quality
ClinicalTrials.gov study NCT07295405. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Preventing Hemolysis and Reducing Reverse Osmosis Waste With Instantaneous Measurement of Water Quality and Early Warning System in Hemodialysis: A New Method, "Pure Water Eye"
ClinicalTrials.gov study NCT07247539. IPD Sharing: YES. Countries: 1. Publications: 3.
Hydrogen-Infused Water for Endurance Performance, Body Hydration Biomarkers, and Health-Related Quality of Life
ClinicalTrials.gov study NCT06788015. IPD Sharing: YES. Countries: 1. Publications: 1.
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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.