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205 results for “Wastewater”
Dataset - Nutrients and biomass dynamics in photo-sequencing batch reactors treating wastewater with high nutrients loadings
<p>The data set attached consists of one excel file where the data from the article “<strong>Nutrients and biomass dynamics in photo-sequencing batch reactors treating wastewater with high nutrients loadings”</strong>, published in Ecological Engineering (vol. 119, 15<sup>th</sup> August 2018, 35-44.), can be found, as well as the different equations and formulae that were used to obtain the published results.</p>
Dataset - Start-up of a microalgae-based treatment system within the biorefinery concept: from wastewater to bioproducts
<p>The data set attached consists of one excel file where the data from the article “<strong>Start-up of a microalgae-based treatment system within the biorefinery concept: from wastewater to bioproducts</strong><strong>”</strong>, published in Water Science and Technology ( vol. 78(1-2), August 2018, 114-124. ), can be found. The data is scarce, as it is an introductory article to the plant design and objectives.</p>
Water Quality Classes - Recommended Water Quality Based on Guideline and Typical Wastewater Qualities
<p>This dataset compiles water quality standards for different end-uses based on most prominent guidelines. The value "-1" signifies no limit specified or no data available. The dataset also contains a list of typical wastewater qualities for several types of wastewater to be reused. The dataset contains the following two document:</p> <ul> <li>Water Quality Classes - Typical Wastewater Qualities and Recommended Water Quality Based on international Guidelines(Dataset) - PDF</li> </ul>
MADFORWATER: WP2: Adaptation of wastewater treatment technologies for agricultural reuse: Task2.4: Industrial wastewater treatment: Treatment of different types of wastewater by means of innovative resins: Subset5
<p>This dataset contains the data underlying the following publication: Yu Huang, Shi Cheng, Ya-Ping Wu, Ji Wu<sup> </sup>, Yan Li, Zong-Li Huo, Ji-Chun Wu<sub>­</sub>, Xian-Chuan Xie, Gregory V. Korshin , Ai-Min Li<sup> </sup>, Wen-Tao Li (2019)</p> <p>Developing surrogate indicators for predicting suppression of halophenols formation potential and abatement of estrogenic activity during ozonation of water and wastewater. <em>Water Research.</em> <a href="https://doi.org/10.1016/j.watres.2019.05.092">https://doi.org/10.1016/j.watres.2019.05.092</a></p>
Figure 4 in Induction of histopathological lesions in renal tissue of the fish Labeo rohita upon exposure to municipal wastewater of Tung Dhab Drain, Amritsar, India
Figure 4. Light micrographs of histological sections of kidney taken from fish L. rohita exposed to municipal wastewater concentrations for exposure durations of 15 (A; 35.4%), 30 (B; 17.7%, C; 26.6%), 60 (D; 26.6%, E; 35.4%) days, and recovery experiments of 60 days (F; 35.4%). The histopathological alterations were marked by () occlusion of tubular lumen; () hyaline droplet degeneration; () dilation of glomerular capillaries; () reduction of Bowman's space; () melanomacrophage centers; () nuclear hypertrophy; () cellular hypertrophy; () cytoplasmic vacuolation in the interrenal cells; () necrosis. Magnification 100×.
Figure 3 in Induction of histopathological lesions in renal tissue of the fish Labeo rohita upon exposure to municipal wastewater of Tung Dhab Drain, Amritsar, India
Figure 3. Kidney mean DTC values in fish L. rohita exposed to municipal wastewater for durations of 15 days (a), 30 days (b), 60 days (c) when compared to control, and (d) subjected to recovery experiments for 60 days and compared with treated group. Values are mean ± SE (vertical bars); means followed by different letters are significantly different from each other (Tukey's post-hoc test, P ≤ 0.01).
Figure 2 in Induction of histopathological lesions in renal tissue of the fish Labeo rohita upon exposure to municipal wastewater of Tung Dhab Drain, Amritsar, India
Figure 2. Histological sections of kidney of fish L. rohita taken as control. A. Posterior kidney showing renal corpuscle formed by Bowman's capsule (BC), Bowman's space (BS), and Glomerulus (G). PT: proximal tubule; distal tubule. B. Anterior kidney showing chromaffin cells (CC) and interrenal cells (IC). Magnification 100×.
Figure 1 in Induction of histopathological lesions in renal tissue of the fish Labeo rohita upon exposure to municipal wastewater of Tung Dhab Drain, Amritsar, India
Figure 1. Map showing Tung Dhab Drain and Hudiara Drain. (a) The sampling site is marked by a star (); origin of drains is shown by (); confluence of Tung Dhab Drain and Hudiara Drain is marked by (). (b) Map showing main industries and sewer outfalls along Tung Dhab Drain. () indicates sewer outfalls; () metal foundries; () paper mill; () food; () leather; () chemical industries. Source: Adapted from Google Earth Maps, accessed August 2014.
Figure 4 in Diversity of zooplankton in municipal wastewater-contaminated urban pond ecosystems of the lower Gangetic plains
Figure 4. Hierarchical cluster analyses of the study sites depending on the physicochemical conditions (a) and zooplankton community structure (b).
Extra tables and fastq files for "Virome Sequencing Identifies H5N1 Avian Influenza in Wastewater from Nine Cities."
<p>Tables:</p> <p>"mutation_analysis.xlsx" = detailed notes on variant analysis of H5N1 reads.</p> <p>"TEPHI_samples_H5N1_status1.xlsx" = Table of samples with metadata and H5N1 status</p> <p>"BioSampleObjects.txt" = Table from SRA mapping BioSample IDs to library (sample) IDs</p> <p> </p> <p>H5N1_reads_thru_p1858:</p> <p>Paired-end Illumina read files (.fastq) from all samples. Includes automated H5N1 called reads from iav_serotype tool from samples that were manually validated to have H5N1 specific reads.</p>
Electrodialysis with bipolar membranes for reagents recovery from dairy wastewater
<p>Poster presented in IEX24 regarding reagents recovery from dairy wastewater by using electrodialysis with bipolar membranes</p>
Wastewater monitoring of SARS-CoV-2 from wastewater in Bratislava, Slovakia and other Slovak cities
<p>The statistics for Bratislava and other selected Slovak cities - Košice, Prešov, Žilina, Banská Bystrica, Trenčín, Trnava, Piešťany, Nováky, Poprad (Petržalka is a district of Bratislava) shows the correlation between the positive PCR tests, deaths caused by COVID-19 and detected virus particles from wastewater (based on a wastewater model developed by the Slovak University of Technology, Faculty of Chemical and Food Technology) in a certain period of time in 2020-2021.</p> <p>The statistics were developed as a result of the Project VIR-SCAN – Wastewater Monitoring Data as an Early Warning Tool to alert COVID-19 in the Population, supported by the EOSCsecretariat.eu</p> <p>Project VIR-SCAN – Wastewater Monitoring Data as an Early Warning Tool to alert COVID-19 in the Population“ has received funding from the EOSC Secretariat project. EOSCsecretariat.eu has received funding from the European Union’s Horizon Programme call H2020-INFRAEOSC-05-2018-2019, grant Agreement number 831644.</p>
Supplementary Material: Assessment of Environmental Pollution and Human Exposure to Pesticides by Wastewater Analysis in a Seven-Year Study in Athens, Greece
<p>Supplementary Material</p>
Wastewater Treatment Unit Processes Datasets: Pollutant removal efficiencies, evaluation criteria and cost estimations
<p>This dataset provides data on typical pollutant removal efficiencies, evaluation critera and cost estimation for 37 common wastewater treatment unit processes. The data is based on literature research, expert workshops and estimations.</p> <p>The following files are available:</p> <ul> <li>Pollutant removal efficiencies, evaluation criteria and cost estimations for wastewater treatment unit processes (dataset) - Microsoft Excel:<br> Database of pollutant removal efficiencies for 11 paramameters, cost estimation and evaluation criteria.</li> <li>Pollutant Removal Efficiencies for Wastewater Treatment Unit Processes (Dataset) - pdf</li> <li>Evaluation Criteria for Wastewater Treatment Unit Processes (Dataset) - pdf</li> <li>Cost Estimation for Wastewater Treatment Unit Processes (Dataset) - pdf</li> </ul> <p> </p> <p> </p>
Dataset on concentrations of CECs / PMTs /vPvM chemicals in Northern Portugal - Galicia (NW Spain) surface waters and wastewaters
<p>Dataset of concentrations of different contaminants of emerging concern (CECs), including persistent mobile and toxic (PMT) and very persistent and very mobile (vPvM) chemicals, in raw and treated wastewater, inland and coastal water samples from Galicia (NW Spain) and the North of Portugal.</p> <p>Data is provided in MS Excel (xlsx) and CSV formats and contains chemicals data, concentrations, location of the samples (coordinates) and sampling date. Location of the wastewater samples is not provided ought to confidentiality agreement.</p> <p>Further details are provided in the associated publication:</p> <p><strong><a href="http://doi.org/10.1016/j.scitotenv.2023.163737"><em>R. Montes et al. Occurrence of persistent and mobile chemicals and other contaminants of emerging concern in Spanish and Portuguese wastewater treatment plants, transnational river basins and coastal water. Science of the Total Environment 2023, 885, 163737. DOI: </em>10.1016/j.scitotenv.2023.163737</a></strong></p> <p><strong>If you use this data, please cite this ZENODO deposit (DOI: <a href="https://doi.org/10.5281/zenodo.6603302">10.5281/zenodo.6603302</a>) and the associated publication mentioned above (DOI: <a href="http://doi.org/10.1016/j.scitotenv.2023.163737">10.1016/j.scitotenv.2023.163737</a>)</strong></p>
CORONASTEP: Monitoring of SARS-CoV-2 in Luxembourg wastewater
<p>This dataset presents the results of national-wide wastewater monitoring efforts in Luxembourg through the sampling of 13 different wastewater treatment plants across the country from March 2020 to 2023.</p>
Identifying wastewater chemicals in coastal aerosols
Open the record for dataset details and reuse information.
Analysis of nitrous oxide reductase diversity from wastewater: a SINTAX database
Open the record for dataset details and reuse information.
Data from: Spirobifluorene-based polymers of intrinsic microporosity for the adsorption of methylene blue from wastewater: effect of surfactants
<p>Owing to their high surface area and superior adsorption properties, spirobifluorene PIMs namely, PIM-SBF-Me (methyl) and PIM-SBF-tBu (<i>tert</i>-butyl) were used for the first time for the removal of methylene blue (MB) dye from wastewater. Spirobifluorene PIMs are known to have large surface area (can be up to 1100 m2/g) and have been previously used mainly for gas storage applications. Dispersion of the polymers in aqueous solution was challenging due to their extreme hydrophobic nature leading to poor adsorption efficiency of MB. For this reason, cationic (CPC), anionic (SDS) and nonionic (Brij-35) surfactants were utilized and tested with the aim of enhancing the dispersion of the hydrophobic polymers in water and hence improving the adsorption efficiencies of the polymers. The effect of surfactant type and concentration was investigated. All surfactants offered a homogenous dispersion of the polymers in the aqueous dye solution, however, the highest adsorption efficiency was obtained using an anionic surfactant (SDS) and this seems due to the predominance of electrostatic interaction between its molecules and the positively charges dye molecules. Furthermore, the effect of polymer dosage and initial dye concentration on MB adsorption were also considered. The kinetic data for both polymers were well described by pseudo-second-order model, while Langumir model better simulated the adsorption process of MB dye on PIM-SBF-Me and Freundlich model was more suitable for PIM-SBF-tBu. Moreover, the maximum adsorption capacities recorded were 84.0 and 101.0 mg/g for PIM-SBF-Me and PIM-SBF-tBu, respectively. Reusability of both polymers was tested by performing three adsorption cycles and the results substantiate that both polymers can be effectively reused with insignificant loss of their adsorption efficiency (%AE). These preliminary results suggested that incorporation of a surfactant to enhance the dispersion of hydrophobic polymers and adsorption of organic contaminants from wastewater is a simple and cost-effective approach that can be adapted for many other environmental applications.</p>
Dataset of Paper "Hydrogen from wastewater by photocatalytic and photoelectrochemical treatment"
<p>Dataset of Paper "Hydrogen from wastewater by photocatalytic and photoelectrochemical treatment":</p> <ul> <li>Table 1. Summary of the materials used in the H<sub>2</sub> production from photocatalytic degradation of wastewater compounds.</li> <li>Table 2. Summary of the materials used in the H<sub>2</sub> production from degradation of wastewater compounds using photoelectrochemical cells.</li> </ul>
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Allen Brain Atlas
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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.