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Found 10001 publications. Showing page 361 of 401:

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Year  
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The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry

Taha, Hiba Mohammed; Aalizadeh, Reza; Alygizakis, Nikiforos; Antignac, Jean-Philippe; Arp, Hans Peter; Bade, Richard; Baker, Nancy; Belova, Lidia; Bijlsma, Lubertus; Bolton, Evan E.; Brack, Werner; Celma, Alberto; Chen, Wen-Ling; Cheng, Tiejun; Chirsir, Parviel; Čirka, Ľuboš; D’Agostino, Lisa A.; Feunang, Yannick Djoumbou; Dulio, Valeria; Fischer, Stellan; Gago-Ferrero, Pablo; Galani, Aikaterini; Geueke, Birgit; Głowacka, Natalia; Glüge, Juliane; Groh, Ksenia; Grosse, Sylvia; Haglund, Peter; Hakkinen, Pertti J.; Hale, Sarah; Hernandez, Felix; Janssen, Elisabeth M.-L.; Jonkers, Tim; Kiefer, Karin; Kirchner, Michal; Koschorreck, Jan; Krauss, Martin; Krier, Jessy; Lamoree, Marja H.; Letzel, Marion; Letzel, Thomas; Li, Qingliang; Little, James; Liu, Yanna; Lunderberg, David M.; Martin, Jonathan W.; McEachran, Andrew D.; McLean, John A.; Meier, Christiane; Meijer, Jeroen; Menger, Frank; Merino, Carla; Muncke, Jane; Muschket, Matthias; Neumann, Michael; Neveu, Vanessa; Ng, Kelsey; Oberacher, Herbert; O’Brien, Jake; Oswald, Peter; Oswaldova, Martina; Picache, Jaqueline A.; Postigo, Cristina; Ramirez, Noelia; Reemtsma, Thorsten; Renaud, Justin; Rostkowski, Pawel; Rüdel, Heinz; Salek, Reza M.; Samanipour, Saer; Scheringer, Martin; Schliebner, Ivo; Schulz, Wolfgang; Schulze, Tobias; Sengl, Manfred; Shoemaker, Benjamin A.; Sims, Kerry; Singer, Heinz; Singh, Randolph R.; Sumarah, Mark; Thiessen, Paul A.; Thomas, Kevin V; Torres, Sonia; Trier, Xenia; Wezel, Annemarie P. van; Vermeulen, Roel C. H.; Vlaanderen, Jelle J.; Ohe, Peter C. von der; Wang, Zhanyun; Williams, Antony J.; Willighagen, Egon L.; Wishart, David S.; Zhang, Jian; Thomaidis, Nikolaos S.; Hollender, Juliane; Slobodnik, Jaroslav; Schymanski, Emma L.

Background

The NORMAN Association (https://www.norman-network.com/) initiated the NORMAN Suspect List Exchange (NORMAN-SLE; https://www.norman-network.com/nds/SLE/) in 2015, following the NORMAN collaborative trial on non-target screening of environmental water samples by mass spectrometry. Since then, this exchange of information on chemicals that are expected to occur in the environment, along with the accompanying expert knowledge and references, has become a valuable knowledge base for “suspect screening” lists. The NORMAN-SLE now serves as a FAIR (Findable, Accessible, Interoperable, Reusable) chemical information resource worldwide.

Results

The NORMAN-SLE contains 99 separate suspect list collections (as of May 2022) from over 70 contributors around the world, totalling over 100,000 unique substances. The substance classes include per- and polyfluoroalkyl substances (PFAS), pharmaceuticals, pesticides, natural toxins, high production volume substances covered under the European REACH regulation (EC: 1272/2008), priority contaminants of emerging concern (CECs) and regulatory lists from NORMAN partners. Several lists focus on transformation products (TPs) and complex features detected in the environment with various levels of provenance and structural information. Each list is available for separate download. The merged, curated collection is also available as the NORMAN Substance Database (NORMAN SusDat). Both the NORMAN-SLE and NORMAN SusDat are integrated within the NORMAN Database System (NDS). The individual NORMAN-SLE lists receive digital object identifiers (DOIs) and traceable versioning via a Zenodo community (https://zenodo.org/communities/norman-sle), with a total of > 40,000 unique views, > 50,000 unique downloads and 40 citations (May 2022). NORMAN-SLE content is progressively integrated into large open chemical databases such as PubChem (https://pubchem.ncbi.nlm.nih.gov/) and the US EPA’s CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard/), enabling further access to these lists, along with the additional functionality and calculated properties these resources offer. PubChem has also integrated significant annotation content from the NORMAN-SLE, including a classification browser (https://pubchem.ncbi.nlm.nih.gov/classification/#hid=101).

Conclusions

The NORMAN-SLE offers a specialized service for hosting suspect screening lists of relevance for the environmental community in an open, FAIR manner that allows integration with other major chemical resources. These efforts foster the exchange of information between scientists and regulators, supporting the paradigm shift to the “one substance, one assessment” approach. New submissions are welcome via the contacts provided on the NORMAN-SLE website (https://www.norman-network.com/nds/SLE/).

2022

The North Norwegian/Vietnamese mother and child contaminant study.

Odland, J.Ø.; Hansen, S.; Sandanger, T.; Nieboer, E.; Phi, D.T.

2009

The Norwegian UV-monitoring program. Period 1995/96-2001. NILU F

Johnsen, B.; Mikkelborg, O.; Dahlback, A.; Høiskar, B.A.; Edvardsen, K.; Olseth, J.; Kjeldstad, B, Ørbæk, J.B.

2003

The operational system for forecasting of volcanic ash in Norwegian air space

Fagerli, Hilde; Klein, Heiko; Nyiri, Agnes; Steensen, Birthe Marie Rødssæteren; Schulz, Michael; Mortier, Augustin; Borg, Anette Lauen; Bustamante, Alvaro Moises Valdebenito; Kristiansen, Nina Iren; Kylling, Arve; Sollum, Espen; Eckhardt, Sabine; Stohl, Andreas; Tørseth, Kjetil

2018

The Oslo UAQIFS. Powerpoint presentation. NILU F

Slørdal, L.H.; Gjerstad, K.I.; Ødegaard, V.; Bjergene, N.

2005

The Oslofjord POP Model v.1.0. A fugacity-based non-steady state non-equilibrium multimedia fate and transport model. NILU OR

Breivik, K.; Bjerkeng, B.; Wania, F.; Magnusson, J.; Helland, A.; Pacyna, J. M.

2003

The pollution fast-track to the Arctic: how southern wintering areas contribute to organochlorine loads in a migrant seabird breeding in the Arctic

Bustnes, Jan Ove; Bårdsen, Bård-Jørgen; Moe, Børge; Herzke, Dorte; Bemmelen, Rob S.A. van; Tulp, Ingrid; Schekkerman, Hans; Hanssen, Sveinn Are

2025

The POPCYCLING-Baltic Model. A non-steady state multicompartment mass balance model of the fate of persistent organic pollutants in the Baltic Sea environment. NILU OR

Wania, F.; Persson, J.; Di Guardio, A.; McLachlan, M.S.

The POPCYCLING-Baltic model, typical multi-media mass balance model, divides the environment in 85 boxes or compartments, which are considered well-mixed and homogeneous, both with respect to the environmental characteristics and chemical contamination. These environmental phases are then linked by a variety of intercompartmental transfer processes.

2000

The possible influence of nitrogen and acid deposition on forest growth in Norway.

Solberg, S.; Andreassen, K.; Clarke, N.; Tørseth, K.; Tveito, O.E.; Strand, G.H.; Tomter, S.

2004

The potential of GMES satellite data for mapping nitrogen dioxide at the European scale. ETC/ACM Technical Paper, 2012/9

Schneider, P.; Tarrasón, L.; Guerreiro, C.

2013

The potential of low-cost sensor networks for monitoring and modelling urban air quality.

Schneider, P.; Castell, N.; Dauge, F. R.; Lahoz, W.; Bartonova, A.

2017

The preliminary validation of GOMOS, MIPAS and SCIAMACHY by groundbased instruments and soundings. ESA-SP531

Koopman, R.M.; Blumenstock, T.; Burrows, J.P.; Ciotti, P.; Congeduti, F.; Cuomo, V.; De Mazière, M.; De Muer, D.; Fricke, K,H.; Hansen, G.; Keckhut, P.; Kelder, H.; Kyro, E.; Lambert, J.C.; Matthews, A.; Pal, S.R.; Petritoli, A.; Swart, D.; Timofeye v, Y.; Visconti, G.

2003

The presence, emission and partitioning behavior of polychlorinated biphenyls in waste, leachate and aerosols from Norwegian waste-handling facilities

Arp, Hans Peter; Morin, Nicolas; Andersson, Patrik L.; Hale, Sarah; Wania, Frank; Breivik, Knut; Breedveld, Gijs D.

Even though production and open use of polychlorinated biphenyls (PCBs) have been phased out in Western industrialised countries since the 1980s, PCBs were still present in waste collected from different waste handling facilities in Norway in 2013. Sums of seven indicator-PCBs (I-PCB7: PCB-28, -52, -101, -118, -138, -153 and -180) were highest in plastic waste (3700 ±1800 μg/kg, n=15), waste electrical and electronic equipment (WEEE) (1300 ± 400 μg/kg, n=12) and fine vehicle fluff (1800 ± 1400 μg/kg, n=4) and lowest in glass waste, combustibles, bottom ash and fly ash (0.3 to 65 μg/kg). Concentrations in leachate water varied from 1.7 to 2900 ng/L, with higher concentrations found at vehicle and WEEE handling facilities. Particles in leachate water exhibited similar PCB sorption properties as solid waste collected on site, with waste-water partitioning coefficients ranging from 105 to 107. I-PCB7 in air samples collected at the sites were mostly in the gas phase (100–24000 pg/m3), compared to those associated with particles (9–1900 pg/m3). In contrast brominated flame retardants (BFRs) in the same samples were predominantly found associated with particles (e.g. sum of 10 brominated diethyl ethers, ΣBDE10, associated with particles 77–194,000 pg/m3) compared to the gas phase (ΣBDE10 6–473 pg/m3). Measured gas-phase I-PCB7 concentrations are less than predicted, assuming waste-air partitioning in equilibrium with predominant waste on site. However, the gas-particle partitioning behavior of PCBs and BFRs could be predicted using an established partitioning model for ambient aerosols. PCB emissions from Norwegian waste handling facilities occurred primarily in the form of atmospheric vapor or leachate particles.

2020

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