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Dataset results
20 results for “emerging contaminants”
S12 | NORMANEWS | NormaNEWS for Retrospective Screening of New Emerging Contaminants
<p>This is the collection associated with list S12 NormaNEWS on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/?q=suspect-list-exchange">https://www.norman-network.com/?q=suspect-list-exchange</a></p> <p>S12</p> <p>NORMANEWS</p> <p><strong>NormaNEWS for Retrospective Screening of New Emerging Contaminants</strong></p> <p>NormaNEWS <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/031017Update/NormaNEWS_V4_26042017_wDTXSIDs.csv">CSV</a>, <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/031017Update/NormaNEWS_V4_26042017_wDTXSIDs.xlsx">XLSX</a> (3/10/2017)</p> <p>CompTox <a href="https://comptox.epa.gov/dashboard/chemical_lists/normanews">NORMANEWS List</a></p> <p><a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/NormaNEWS_V4_InChIKeys.txt">NormaNEWS InChIKeys</a> (8/05/2017)</p> <p><a href="http://www.norman-network.com/?q=node/244">NormaNEWS</a> list provided by Nikiforos Alygizakis, Saer Samanipour and Kevin Thomas.</p> <p>Alygizakis et al 2018, DOI: 10.1021/acs.est.8b00365</p>
S62 | NORMANEWS2 | NormaNEWS2: Retrospective Screening of New Emerging Contaminants
<p>This is the collection associated with list S62 NORMANEWS2 on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>List of suspects provided by many contributors to <a href="https://www.norman-network.net/?q=node/327">NormaNEWS2</a>, collated by Kevin Thomas and colleagues at UQ.</p> <p>The Norman Early Warning System (NormaNEWS) is a collaborative activity aimed at members active in non-target analysis. The concept of NormaNEWS is that when one group identifies a new contaminant of emerging concern identification criteria are sent to other members of the group who use retrospective analysis techniques to check their own samples. This way we can rapidly establish the occurrence of newly identified compounds of emerging concern across Europe and beyond. NormaNEWS is lead by Kevin Thomas at NIVA (Norway) / University of Queensland (Australia) as part of the <a href="http://www.normandata.eu/?q=node/252"><strong>Non-target screening cross-working group activity</strong></a> of the NORMAN network.</p> <p><strong>What is NormaNEWS and how does it work</strong></p> <p>The first round of the collaborative NormaNEWS joint activity in 2016 successfully demonstrated the usefulness of the retrospective screening of high resolution mass spectrometric data in establishing the spatial and temporal occurrence of newly identified compounds of emerging concern. The results of this pilot study are presented in <a href="https://pubs.acs.org/doi/abs/10.1021/acs.est.8b00365?journalCode=esthag">Alygizakis <em>et al.</em>, ES&T, DOI: 10.1021/acs.est.8b00365</a>. The list of contaminants screened can be found on the <a href="http://www.norman-network.com/?q=node/236">NORMAN Suspect Exchange</a> and the <a href="https://comptox.epa.gov/dashboard/chemical_lists/normanews">CompTox Chemistry Dashboard</a>.</p> <p>To build on the first study, the NORMAN network has decided to launch NormaNEWS 2 as part of the activities of the <a href="http://www.normandata.eu/?q=node/252">NTS Cross-Working Group Activity</a> (<a href="http://www.norman-network.net/sites/default/files/files_private/JoinProgramme2018/NORMAN%20JPA%202018_final_Feb2018.pdf">NORMAN JPA 2018</a> and NORMAN JPA 2019).</p> <p>In NormaNEWS 2 we wish to further develop this approach to cover many more contaminants of emerging concern, include a broader range of matrices, and significantly increase temporal and spatial coverage.</p> <p>While NORMAN members are encouraged to participate in NormaNEWS, laboratories outside the NORMAN network are also welcome to participate. </p>
Chemical analysis dataset for contaminants of emerging concern and bioanalytical data for samples from a low mountain stream in Central Germany
<p>In 2022, river-water samples were collected at six sampling sites along the Holtemme River in Central Germany using large-volume solid phase extraction. The extracts were analysed by target chemical analysis for contaminants of emerging concern. In addition, the extracts were analysed in a bioanalytical test battery using effect-based tools. The battery included assays for cytotoxicity (neutral red retention assay), oxidative stress (Nrf2-CALUX®), endocrine disruption (ER-, AR-, anti-ER-, anti-AR-, GR- and PR-CALUX®) and the fish embryotoxicity test with zebrafish (<em>Danio rerio</em>). The data obtained are included in the .csv files in this repository.</p>
Dataset: A multi-label classifier for predicting the most appropriate instrumental method for the analysis of contaminants of emerging concern
<p>NORMAN Suspect List Exchange was used for the generation of the dataset. Datasets with clear label (LC or GC) were used. More specifically, we used S3 NORMANCT15, which contains a list of compounds that were detected in surface water from the Danube River in a pan-European collaborative trial employing both GC-HRMS and LC-HRMS. Moreover, the GC and LC target list were used by the following two institutes: National and Kapodistrian University of Athens (NKUA) and Helmholtz Centre for Environmental Research (UFZ). S21 UATHTARGETS is the LC target list of NKUA, S65 UATHTARGETSGC is the GC target list of NKUA and S53 UFZWANATARG contains the LC and GC target list of UFZ. Finally, two GC target lists (S51 WRIGCHRMS and S70 EISUSGCEIMS) were used. These lists contain GC substance lists and were provided by two Slovak institutes, the Water Research Institute (WRI) and Environmental Institute. The aforementioned compound lists were merged together to form a labelled dataset. The SMILES were used to calculate 1446 molecular descriptors. 1446 descriptors were produced by PaDEL-descriptor, logP was produced by JRgui and boiling point by USEPA ECOSAR.</p> <p>The dataset is used in the publication:</p> <p>"A multi-label classifier for predicting the most appropriate instrumental method for the analysis of contaminants of emerging concern" authored by</p> <p>Nikiforos Alygizakis, Vasileios Konstantakos, Grigoris Bouziotopoulos , Evangelos Kormentzas, Jaroslav Slobodnik and Nikolaos S. Thomaidis</p> <p>Github repository: https://github.com/nalygizakis/LCvsGC</p>
Supplementary material for "Tracing emerging contaminants from the Baltic Sea and North Sea in fjord waters in southern Norway with rare earth elements as far-field tracers"
<p><span>Dataset presented and discussed in the manuscript of the research article “</span><span>Tracing emerging contaminants from the Baltic Sea and North Sea in fjord waters in southern Norway with rare earth elements as far-field tracers</span><span><span>” by Zocher et al. The manuscript will be submitted to <em>Environmental Pollution</em> and was prepared by the following authors: </span></span></p> <p> </p> <p><span><span>Anna-Lena Zocher (1), Tomasz Maciej Ciesielski (2,3), Stefania Piarulli (4), Julia Farkas (4) and Michael Bau (1). </span></span></p> <p><span> </span></p> <p><span><span>(1) School of Science, Constructor University, Bremen, Germany</span></span></p> <p><span><span>(2) Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway</span></span></p> <p><span><span>(3) </span></span><span><span>Department of Arctic Technology, The University Centre in Svalbard (UNIS), Longyearbyen, Norway</span></span></p> <p><span><span>(4) SINTEF Ocean, Trondheim, Norway</span></span></p> <p> </p> <p><span>This work was conducted within the ELEMENTARY project, and we appreciate funding from the Norwegian Research Council (grant No. 301236).</span></p>
Data from: Magnetic covalent organic frameworks (mcofs): A sustainable solution for emerging organic contaminants (Eocs) from the river
Open the record for dataset details and reuse information.
Emerging contaminants in juvenile Chinook salmon: Patterns of exposure and implications for conservation
Open the record for dataset details and reuse information.
Contaminants of emerging concern in an endangered population of common eiders (Somateria mollissima) in the Baltic Sea
<p>Dataset on contaminants of emerging concern in blood plasma from female common eiders (<em>Somateria mollissima</em>) sampled during the breeding season 2021, in Finland. </p> <p>The dataset will be made open access once the manuscript has been accepted for publication. </p>
Mobility and persistence of pesticides and emerging contaminants in age-dated and redox-classified groundwater under a range of land use types [data set]
<p>Data set covering measured pesticides and emerging contaminants, the tritium and noble gas data and metadata for which the results are discussed in the publication in Science of the Total Environment (2024); doi: 10.1016/j.scitotenv.2024.176344</p>
Non-Targeted Screening of Contaminants of Emerging Concern in the Glen Valley Wastewater Treatment Plant, Botswana
<p>All raw data files associated with the manuscript titled "Non-Targeted Screening of Contaminants of Emerging Concern in the Glen Valley Wastewater Treatment Plant, Botswana". These include the quality control samples, blanks and wastewater samples analysed on a waters fusion orbitrap operation in positive mode while aquiring MS/MS data. LC data is also included. </p>
Environmental Exposure to Heavy Metals, Nanoparticles, and Emergent Contaminants and Risk of Allergic Diseases
ClinicalTrials.gov study NCT06529913. IPD Sharing: NO. Countries: 1. Publications: 9.
Avoiding Bacterial Contamination of Clean Catch Urine Cultures in Ambulatory Patients in the Emergency Department
ClinicalTrials.gov study NCT03131609. IPD Sharing: NO. Countries: 1. Publications: 1.
Prenatal Exposure to Emerging Contaminants and Children's Atopic Dermatitis
ClinicalTrials.gov study NCT06316609. IPD Sharing: NO. Countries: 1. Publications: 3.
Removal of contaminants of emerging concern from the supernatant of anaerobically digested sludge by O3 and O3/H2O2: Ozone requirements, effects of the matrix, and toxicity
<p>Digestate is a rich source of nutrients that can be applied in agricultural fields as fertilizer or irrigation water.<br>However, most of the research about application of digestate have focused on its agronomic properties and<br>neglected the potential harm of the presence of contaminants of emerging concern (CECs). Aadvanced oxidation processes (AOPs) have proved to be effective for removing these compounds from drinking water, yet there are some constrains to treat wastewater and digestate mainly due to their complex matrix. In this study, the feasibility to remove different CECs from digestate using O3 and O3/H2O2 was assessed, and the general effect of the matrix in the oxidation was explained. While the lab-scale ozonation provided an ozone dose of 1.49 mg O3/mg DOC in 5 h treatment, almost all the compounds were removed at a lower ozone dose of maximum 0.48 mg O3/ mg DOC; only ibuprofen required a higher dose of 1.1 mg O3/mg DOC to be oxidized. The digestate matrix slowed down the kinetic ozonation rate to approximately 1% compared to the removal rate in demineralized water. The combined treatment (O3/H2O2) showed the additional contribution of H2O2 by decreasing the ozone demand by 59–75% for all the compounds. The acute toxicity of the digestate, measured by the inhibition of Vibrio fisheries luminescence, decreased by 18.1% during 5 h ozonation, and by 34% during 5 h O3/H2O2 treatment. Despite the high ozone consumption, the ozone dose (mg O3/mg DOC) required to remove all CECs from digestate supernatant was in the range or lower than what has been reported for other (waste-)water matrix, implying that ozonation can be considered as a post-AD treatment to produce cleaner stream for agricultural purposes.</p>
Experimental data for Emerging contaminants and pathogenic microorganisms elimination in secondary effluent by graphitic carbon nitride photocatalytic ozonation processes
Open the record for dataset details and reuse information.
Vacuum Assisted Therapy in Emergent Contaminated Abdominal Surgeries
ClinicalTrials.gov study NCT02127164. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Prioritization of Contaminants of Emerging Concern in wastewater treatment plant discharges using transcriptional effects in caged fish
GEO Series GSE96678. Pimephales promelas. 70 samples. Type: Expression profiling by array.
TRANSCRIPTOMIC ANALYSIS OF BOTTLENOSE DOLPHIN (Tursiops truncatus) SKIN BIOPSIES TO ASSESS THE EFFECTS OF EMERGING CONTAMINANTS ON A TOP PREDATOR IN THE MEDITERRANEAN SEA
GEO Series GSE69917. Tursiops truncatus. 8 samples. Type: Expression profiling by array.
Prior Knowledge-based Approach for Associating Emerging Contaminants with Effects in Fish Exposed In Situ: A Case Study in the St. Croix River Basin, MN, WI, USA.
GEO Series GSE81263. Pimephales promelas. 40 samples. Type: Expression profiling by array.
Effects-based Monitoring of Contaminants of Emerging Concern in Great Lakes Tributaries: Calculating the Risk of Fish Developing Liver Toxicity and Cancer
GEO Series GSE146903. Homo sapiens. 71 samples. Type: Expression profiling by high throughput sequencing.
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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.