Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
48
datasets available to search
ShareScore release 0.9.0
Dataset results
48 results for “Wastewater Treatment”
PIE LTER, geographic information for the transects that were set up to study the impacts on the salt marsh vegetation of nutrient enrichment from the Ipswich Wastewater Treatment Facility on Greenwood Creek in Ipswich, MA.
A description of the transects that were set up to study the impacts on the salt marsh vegetation of nutrient enrichment from the Ipswich Wastewater Treatment Facility on Greenwood Creek in Ipswich, MA, USA. The marsh around Clubhead Creek, Rolwey, MA, USA was used as a reference.
Wastewater Treatment Plant Inflow Rate, Network Water Levels and Rain Rate for Koeln Weiden, Germany
<p>wtp_network_rain.csv contains time series data of measured wastewater treatment plant inflow rates, water levels from multiple locations within the wastewater sewer network and rain rate measured from a rain recorder located at the wastewater treatment plant.</p>
Data for: Evaluation of a full-scale wastewater treatment plant with ozonation and different post-treatments using a broad range of in vitro and in vivo bioassays
<p>This repository contains research data linked to the following publication: Kienle, C., Werner, I., Fischer, S., Lüthi, C., Schifferli, A., Besselink, H., Langer, M., McArdell, C.S. and Vermeirssen, E.L.M. 2022. Evaluation of a full-scale wastewater treatment plant with ozonation and different post-treatments using a broad range of <em>in vitro</em> and <em>in vivo</em> bioassays. Water Research, 118084. https://doi.org/10.1016/j.watres.2022.118084</p> <p>Abstract: Micropollutants present in the effluent of wastewater treatment plants (WWTPs) after biological treatment are largely eliminated by effective advanced technologies such as ozonation. Discharge of contaminants into freshwater ecosystems can thus be minimized, while simultaneously protecting drinking water resources. However, ozonation can lead to reactive and potentially toxic transformation products. To remove these, the Swiss Federal Office for the Environment recommends additional "post-treatment" of ozonated WWTP effluent using sand filtration, but other treatments may be similarly effective. In this study, 48 h composite wastewater samples were collected before and after full-scale ozonation, and after post-treatments (full-scale sand filtration, pilot-scale fresh and pre-loaded granular activated carbon, and fixed and moving beds). Ecotoxicological tests were performed to quantify the changes in water quality following different treatment steps. These included standard <em>in vitro</em> bioassays for the detection of endocrine, genotoxic and mutagenic effects, as well as toxicity to green algae and bacteria, and flow-through <em>in vivo</em> bioassays using oligochaetes and early life stages of rainbow trout.</p> <p>Results show that ozonation reduced a number of ecotoxicological effects of biologically treated wastewater by 66 - 93 %: It improved growth and photosynthesis of green algae, decreased toxicity to luminescent bacteria, reduced concentrations of hormonally active contaminants and significantly changed expression of biomarker genes in rainbow trout liver. Bioassay results showed that ozonation did not produce problematic levels of reaction products overall. Small increases in toxicity observed in a few samples were reduced or eliminated by post-treatments. However, only relatively fresh granular activated carbon (analyzed at 13,000 - 20,000 bed volumes) significantly reduced effects additionally (by up to 66 %) compared to ozonation alone. Inhibition of algal photosynthesis, rainbow trout liver histopathology and biomarker gene expression proved to be sufficiently sensitive endpoints to detect the change in water quality achieved by post-treatment.</p>
DATASET: Environmental analysis of servicing centralised and decentralised wastewater treatment for population living in neighbourhoods
<p>DATASET:</p> <p>Article: Environmental analysis of servicing centralised and decentralised wastewater treatment for population living in neighbourhoods</p> <p>Journal of Water Process Engineering, Volume 37, October 2020, 101469</p> <p>https://doi.org/10.1016/j.jwpe.2020.101469</p>
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: Subset2
<p>This dataset contains the data underlying the following publication: Li Qimeng, Wang Cheng, Hua Ming, Shuang Chendong, Li Aimin, Gao Canzhu. (2017). High-efficient removal of phthalate esters from aqueous solution with an easily regenerative magnetic resin: Hydrolytic degradation and simultaneous adsorption. <em>Journal of Cleaner Production</em><em>. </em> <a href="https://doi.org/10.1016/j.jclepro.2017.11.121">https://doi.org/10.1016/j.jclepro.2017.11.121</a></p>
Building Public Confidence in Constructed Wetlands for Wastewater Treatment and Reuse: Survey Data and Focus Group Transcripts
<p>Constructed wetlands have been proposed as a cost-effective wastewater treatment, storage, and reuse solution for communities that are considering alternative water supply options to meet essential demands. In 2016, we began exploring the idea of wastewater reuse and the construction of an experimental wetland in Sewanee, located in the southern U.S. state of Tennessee. As a major barrier to water reuse is often public resistance, we conducted a survey and focus groups to determine strategies to develop and initiate a community engagement campaign, aiming to empower residents to form reasoned opinions about local water supply options.</p> <p>This data set includes the survey that was distributed to Sewanee community members between November 2015 and February 2016, as well as protocols for three focus groups that were conducted with K12 teachers and community leaders on February 11 and 12, 2016. The survey results are summarized in a Microsoft Excel file. The three focus groups were transcribed, these transcripts are included here as PDF documents.</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>
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>
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 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>
Harnessing waterfleas for water reclamation: A nature-based tertiary wastewater treatment technology
<p>Urbanisation, population growth, and climate change have put unprecedented pressure on water resources, leading to a global water crisis and the need for water reuse. However, water reuse is unsafe unless persistent chemical pollutants are removed from reclaimed water.. State-of-the-art technologies for the reduction of persistent chemical pollutants in wastewater typically involves high operational and energy costs and potentially generates toxic by-products (e.g., bromate from ozonation). Nature-base solutions are preferred to these technologies for their lower environmental impact. However, so far, bio-based tertiary wastewater treatments have been inefficient for industrial-scale applications. Moreover, they often demand significant financial investment and large infrastructure, undermining sustainability objectives. Here, we present a scalable, low-cost, low-carbon, and retrofittable nature-inspired solution that could be retrofitted into current wastewater treatment systems to remove persistent chemical pollutants. The technology uses the water flea <em>Daphnia </em>to non-selectively uptake and retain persistent chemical pollutants (pharmaceutical, pesticides and industrial chemicals). We showed <em>Daphnia's </em>removal efficiency at laboratory scale ranging between 50% for PFOS and 90% for diclofenac. We validate the removal efficiency of diclofenac at prototype scale showing sustained performance over four weeks in outdoor seminatural conditions. A techno-commercial analysis on the <em>Daphnia</em>-based technology suggests several technical, commercial and sustainability advantages over established and emerging treatments at comparable removal efficiency, benchmarked on available data on individual chemicals. Further testing of the technology is underway in open flow environments holding real wastewater. The technology has the potential to improve the quality of wastewater effluent meeting requirements to produce water appropriate for reuse in irrigation, industrial application, and household use. By preventing persistent chemicals from entering waterways, this technology has the potential to maximise the shift to clean growth, enabling water reuse, reducing resource depletion and preventing environmental pollution.</p>
Quantification of SARS-CoV-2 RNA in Wastewater Treatment Plants Mirrors the Pandemic Trend in Hong Kong
<p>The dataset included the SARS-CoV-2 and PMMoV virus concentration of WWTPs from December 24, 2020 to June 30, 2021 in Hong Kong, China.</p>
Long-term observation of the end-of- treatment sludge quality from a Parisian WWTP treating wastewater from 6.5 M inhabitants
<p>Wastewater contains a wide range of biological and chemical markers related to human activity. The collection and analysis of these markers in the effluents (wastewater and sludge) allow to qualify the public health of the population and to evaluate the impact of the chemicals used in daily life on the environment.</p> <p> </p> <p>In line with these studies, the Innovation Department of SIAAP and its scientific partners (ISA and LEESU) has created an Observatory of the city with the objectives of:</p> <p>• Monitoring the long-term dynamics of known and/or potential pollutants according to French regulations.</p> <p>• Contributing to studies aimed at a better understanding of anthropogenic activities.</p> <p>• Structuring and centralizing data (wastewater and end-of-treatment sludge), ensuring their storage for 10 years.</p> <p>• Providing technical and scientific knowledge by publishing every two years the data generated by the Observatory of the city via the open platform Zenodo.</p> <p>Regarding the end-of-treatment sludge, the Seine Aval (SAV) plant has been chosen as a strategic location, since the catchment area corresponds to the Parisian west catchment (6.5 million inhabitants). Data on the sludge micropollution (in metals, polycyclic aromatic hydrocarbons – PAHs and polychlorinated biphenyls – PCBs) are available since 1980 and are provided in the present datasets.</p> <p> </p> <p> </p> <p> </p>
Wastewater Treatment data simulated by WEST software
<p>This data was simulated by "WEST" software running for 30 days. This process is an oxidation wastewater treatment process. This data set includes all the necessary quality related variables, particularly, effluent qualities.</p>
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: Subset3
<p>This dataset contains the data underlying the following publication: Li Qimeng, Wu Ji, Hua Ming, Zhang Guang, Li Wentao, Shuang Chendong, Li Aimin. (2017). Preparation of Permanent Magnetic Resin Crosslinking by Diallyl Itaconate and Its Adsorptive and Anti-fouling Behaviors for Humic Acid Removal. <em>Scientific Report. </em> <a href="https://doi.org/10.1038/s41598-017-17360-8">https://doi.org/10.1038/s41598-017-17360-8</a></p>
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: Subset1
<p>This dataset contains the data underlying the following publication: Li Wen-Tao, Cao Meng-Jie, Young Tessora, Ruffino Barbara, Dodd Michael, Li Ai-Min, Korshin Gregory. (2017).</p> <p>Application of UV absorbance and fluorescence indicators to assess the formation of biodegradable dissolved organic carbon and bromate during ozonation. Water Research 2017, 111, 154-162. <a href="http://dx.doi.org/10.1016/j.watres.2017.01.009">http://dx.doi.org/10.1016/j.watres.2017.01.009</a>.</p>
MADFORWATER: WP2: Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture: Task 2.3–Agro-industrial wastewater treatment: Subtask 2.3.1. –Treatment of olive mill wastewater (OMWW): Aerobic biological treatment in sequenced batch reactors (SBRs): Subset 1
<p>This dataset contains the data underlying the following publication: Fatma AROUS, Chadlia HAMDI, Souhir KMIHA, Nadia KHAMMASSI, Amani AYARI, Mohamed NEIFAR, Tahar MECHICHI, Atef JAOUANI (2018). Treatment of olive mill wastewater through employing sequencing batch reactor: Performance and microbial diversity assessment. 3 Biotech 2018, 8, 481. https://doi.org/10.1007/s13205-018-1486-6.</p>
Dataset of paper "Growth and prevalence of antibiotic-resistant bacteria in microplastic biofilm from wastewater treatment plant effluents"
<p>Dataset of paper "Growth and prevalence of antibiotic-resistant bacteria in microplastic biofilm from wastewater treatment plant effluents":</p> <ul> <li>Raw 16srRNA forward and reverse sequence data</li> <li>16srRNA partial sequence data for submission to public database</li> <li>Nucleotide BLAST result from National Centre of Biotechnology Information (NCBI) database</li> <li>Summary of sample metadata and bacterial colony forming units (CFUs)</li> <li>Summary of sample metadata and quantified genes</li> </ul>
Dataset of paper "New trends on photoelectrocatalysis (PEC): nanomaterials, wastewater treatment and hydrogen generation"
<p>Dataset of paper "New trends on photoelectrocatalysis (PEC): nanomaterials, wastewater treatment and hydrogen generation"</p> <ul> <li>Revision of nanomaterials investigated for different applications of PEC for water treatment and hydrogen generation with summary of information on their performance, key advantages of the material and the reference of publication.</li> </ul>
AN INDEX TO QUANTIFY DISPARITIES IN PUBLIC POTABLE WATER AND WASTEWATER TREATMENT SYSTEMS: THE TENNESSEE CASE STUDY
<p>Data sets and code used in "An Index to Quantify Disparities in Public Potable Water and Wastewater Treatment Systems: The Tennessee Case Study" </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.