VIAF

Virtual International Authority File

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Leader     00000nz a2200037n 45 0
001     WKP|Q38545498  (VIAF cluster)  (Authority/Source Record)
003     WKP
005     20241221010710.0
008     241221nneanz||abbn n and d
035 ‎‡a  (WKP)Q38545498‏
024 ‎‡a  0000-0003-1570-3764‏ ‎‡2  orcid‏
035 ‎‡a  (OCoLC)Q38545498‏
100 0 ‎‡a  Andrew C Johnson‏ ‎‡c  investigador‏ ‎‡9  ast‏
375 ‎‡a  1‏ ‎‡2  iso5218‏
400 0 ‎‡a  অ্যান্ড্রু সি জনসন‏ ‎‡c  গবেষক‏ ‎‡9  bn‏
400 0 ‎‡a  Andrew C Johnson‏ ‎‡c  researcher‏ ‎‡9  en‏
400 0 ‎‡a  Andrew C Johnson‏ ‎‡c  investigador‏ ‎‡9  es‏
400 0 ‎‡a  Andrew C Johnson‏ ‎‡c  wetenschapper‏ ‎‡9  nl‏
670 ‎‡a  Author's 10th Anniversary Perspective: Reflections on endocrine disruption in the aquatic environment: from known knowns to unknown unknowns‏
670 ‎‡a  Author's 10th Anniversary Perspective: Reflections on endocrine disruption in the aquatic environment: from known knowns to unknown unknowns (and many things in between).‏
670 ‎‡a  Author's A rational approach to selecting and ranking some pharmaceuticals of concern for the aquatic environment and their relative importance compared with other chemicals‏
670 ‎‡a  Author's A restatement of the natural science evidence base on the effects of endocrine disrupting chemicals on wildlife‏
670 ‎‡a  Author's An assessment of the fate, behaviour and environmental risk associated with sunscreen TiO₂ nanoparticles in UK field scenarios‏
670 ‎‡a  Author's Are we going about chemical risk assessment for the aquatic environment the wrong way?‏
670 ‎‡a  Author's Assessing the concentrations and risks of toxicity from the antibiotics ciprofloxacin, sulfamethoxazole, trimethoprim and erythromycin in European rivers.‏
670 ‎‡a  Author's Assessing the concentrations of polar organic microcontaminants from point sources in the aquatic environment: measure or model?‏
670 ‎‡a  Author's Bridging the Gap: Advancing Ecological Risk Assessment from Laboratory Predictions to Ecosystem Reality‏
670 ‎‡a  Author's Comparing predicted against measured steroid estrogen concentrations and the associated risk in two United Kingdom river catchments‏
670 ‎‡a  Author's De-conjugation behavior of conjugated estrogens in the raw sewage, activated sludge and river water‏
670 ‎‡a  Author's Determination of cyclophosphamide and ifosfamide in sewage effluent by stable isotope-dilution liquid chromatography-tandem mass spectrometry.‏
670 ‎‡a  Author's Do concentrations of ethinylestradiol, estradiol, and diclofenac in European rivers exceed proposed EU environmental quality standards?‏
670 ‎‡a  Author's Do suspended sediments modulate the effects of octylphenol on rainbow trout?‏
670 ‎‡a  Author's Does exposure to domestic wastewater effluent (including steroid estrogens) harm fish populations in the UK?‏
670 ‎‡a  Author's Elevated risk from estrogens in the Yodo River basin‏
670 ‎‡a  Author's Elevated risk from estrogens in the Yodo River basin (Japan) in winter and ozonation as a management option.‏
670 ‎‡a  Author's Endocrine disruption due to estrogens derived from humans predicted to be low in the majority of U.S. surface waters.‏
670 ‎‡a  Author's Evidence needed to manage freshwater ecosystems in a changing climate: turning adaptation principles into practice.‏
670 ‎‡a  Author's Gas-liquid chromatography-tandem mass spectrometry methodology for the quantitation of estrogenic contaminants in bile of fish exposed to wastewater treatment works effluents and from wild populations‏
670 ‎‡a  Author's Hazard posed by metals and As in PM2.5 in air of five megacities in the Beijing-Tianjin-Hebei region of China during APEC.‏
670 ‎‡a  Author's How seasonality affects the flow of estrogens and their conjugates in one of Japan's most populous catchments‏
670 ‎‡a  Author's Improving the quality of wastewater to tackle trace organic contaminants: think before you act!‏
670 ‎‡a  Author's Invertebrate biodiversity continues to decline in cropland‏
670 ‎‡a  Author's Learning from the past and considering the future of chemicals in the environment‏
670 ‎‡a  Author's Long-term trends of second generation anticoagulant rodenticides (SGARs) show widespread contamination of a bird-eating predator, the Eurasian Sparrowhawk (Accipiter nisus) in Britain‏
670 ‎‡a  Author's Meeting report: risk assessment of tamiflu use under pandemic conditions.‏
670 ‎‡a  Author's Nano silver and nano zinc-oxide in surface waters - exposure estimation for Europe at high spatial and temporal resolution‏
670 ‎‡a  Author's Natural Variations in Flow Are Critical in Determining Concentrations of Point Source Contaminants in Rivers: An Estrogen Example‏
670 ‎‡a  Author's Particulate and colloidal silver in sewage effluent and sludge discharged from British wastewater treatment plants.‏
670 ‎‡a  Author's Perfluoroalkyl acids (PFAAs) in indoor and outdoor dusts around a mega fluorochemical industrial park in China: Implications for human exposure‏
670 ‎‡a  Author's Potential risks associated with the proposed widespread use of Tamiflu.‏
670 ‎‡a  Author's Predicted no-effect concentration (PNEC) and assessment of risk for the fungicide, triadimefon based on reproductive fitness of aquatic organisms‏
670 ‎‡a  Author's Predicting concentrations of the cytostatic drugs cyclophosphamide, carboplatin, 5-fluorouracil, and capecitabine throughout the sewage effluents and surface waters of Europe‏
670 ‎‡a  Author's Predicting contamination by the fuel additive cerium oxide engineered nanoparticles within the United Kingdom and the associated risks‏
670 ‎‡a  Author's Predicting national exposure to a point source chemical: Japan and endocrine disruption as an example‏
670 ‎‡a  Author's Principles of sound ecotoxicology‏
670 ‎‡a  Author's Probabilistic assessment of risks of diethylhexyl phthalate‏
670 ‎‡a  Author's Probabilistic assessment of risks of diethylhexyl phthalate (DEHP) in surface waters of China on reproduction of fish‏
670 ‎‡a  Author's Putting pharmaceuticals into the wider context of challenges to fish populations in rivers.‏
670 ‎‡a  Author's Quantification of Pharmaceutical Related Biological Activity in Effluents from Wastewater Treatment Plants in UK and Japan‏
670 ‎‡a  Author's Rapid determination of free and conjugated estrogen in different water matrices by liquid chromatography-tandem mass spectrometry‏
670 ‎‡a  Author's Reassessing the risks of Tamiflu use during a pandemic to the Lower Colorado River‏
670 ‎‡a  Author's Regional multi-compartment ecological risk assessment: Establishing cadmium pollution risk in the northern Bohai Rim, China‏
670 ‎‡a  Author's Risk of endocrine disruption to fish in the Yellow River catchment in China assessed using a spatially explicit model‏
670 ‎‡a  Author's Spatial and temporal changes in chlorophyll-a concentrations in the River Thames basin, UK: are phosphorus concentrations beginning to limit phytoplankton biomass?‏
670 ‎‡a  Author's The apparently very variable potency of the anti-depressant fluoxetine‏
670 ‎‡a  Author's The arrival and discharge of conjugated estrogens from a range of different sewage treatment plants in the UK.‏
670 ‎‡a  Author's The British river of the future: how climate change and human activity might affect two contrasting river ecosystems in England‏
670 ‎‡a  Author's The challenge presented by progestins in ecotoxicological research: a critical review.‏
670 ‎‡a  Author's The distribution of Polychlorinated Biphenyls (PCBs) in the River Thames Catchment under the scenarios of climate change.‏
670 ‎‡a  Author's The Future of the Weight‐of‐Evidence Approach: A Response to Suter's Comments‏
670 ‎‡a  Author's The identification and quantification of microplastics in potable water and its sources within Water Treatment Works in England and Wales‏
670 ‎‡a  Author's The long shadow of our chemical past - High DDT concentrations in fish near a former agrochemicals factory in England.‏
670 ‎‡a  Author's The presence of EU priority substances mercury, hexachlorobenzene, hexachlorobutadiene and PBDEs in wild fish from four English rivers.‏
670 ‎‡a  Author's The role of microbial community composition and groundwater chemistry in determining isoproturon degradation potential in UK aquifers‏
670 ‎‡a  Author's The use of modelling to predict levels of estrogens in a river catchment: how does modelled data compare with chemical analysis and in vitro yeast assay results?‏
670 ‎‡a  Author's Using risk-ranking of metals to identify which poses the greatest threat to freshwater organisms in the UK.‏
670 ‎‡a  Author's What Works? the Influence of Changing Wastewater Treatment Type, Including Tertiary Granular Activated Charcoal, on Downstream Macroinvertebrate Biodiversity Over Time‏
670 ‎‡a  Author's Which offers more scope to suppress river phytoplankton blooms: Reducing nutrient pollution or riparian shading?‏
670 ‎‡a  Author's Worldwide estimation of river concentrations of any chemical originating from sewage-treatment plants using dilution factors‏
909 ‎‡a  (orcid) 0000000315703764‏ ‎‡9  1‏
919 ‎‡a  worldwideestimationofriverconcentrationsofanychemicaloriginatingfromsewagetreatmentplantsusingdilutionfactors‏ ‎‡A  Worldwide estimation of river concentrations of any chemical originating from sewage-treatment plants using dilution factors‏ ‎‡9  1‏
919 ‎‡a  whichoffersmorescopetosuppressriverphytoplanktonbloomsreducingnutrientpollutionorriparianshading‏ ‎‡A  Which offers more scope to suppress river phytoplankton blooms: Reducing nutrient pollution or riparian shading?‏ ‎‡9  1‏
919 ‎‡a  whatworkstheinfluenceofchangingwastewatertreatmenttypeincludingtertiarygranularactivatedcharcoalondownstreammacroinvertebratebiodiversityovertime‏ ‎‡A  What Works? the Influence of Changing Wastewater Treatment Type, Including Tertiary Granular Activated Charcoal, on Downstream Macroinvertebrate Biodiversity Over Time‏ ‎‡9  1‏
919 ‎‡a  usingriskrankingofmetalstoidentifywhichposesthegreatestthreattofreshwaterorganismsintheuk‏ ‎‡A  Using risk-ranking of metals to identify which poses the greatest threat to freshwater organisms in the UK.‏ ‎‡9  1‏
919 ‎‡a  useofmodellingtopredictlevelsofestrogensinarivercatchmenthowdoesmodelleddatacomparewithchemicalanalysisandinvitroyeastassayresults‏ ‎‡A  The use of modelling to predict levels of estrogens in a river catchment: how does modelled data compare with chemical analysis and in vitro yeast assay results?‏ ‎‡9  1‏
919 ‎‡a  roleofmicrobialcommunitycompositionandgroundwaterchemistryindeterminingisoproturondegradationpotentialinukaquifers‏ ‎‡A  The role of microbial community composition and groundwater chemistry in determining isoproturon degradation potential in UK aquifers‏ ‎‡9  1‏
919 ‎‡a  presenceofeuprioritysubstancesmercuryhexachlorobenzenehexachlorobutadieneandpbdesinwildfishfrom4englishrivers‏ ‎‡A  The presence of EU priority substances mercury, hexachlorobenzene, hexachlorobutadiene and PBDEs in wild fish from four English rivers.‏ ‎‡9  1‏
919 ‎‡a  longshadowofourchemicalpasthighddtconcentrationsinfishnearaformeragrochemicalsfactoryinengland‏ ‎‡A  The long shadow of our chemical past - High DDT concentrations in fish near a former agrochemicals factory in England.‏ ‎‡9  1‏
919 ‎‡a  identificationandquantificationofmicroplasticsinpotablewateranditssourceswithinwatertreatmentworksinenglandandwales‏ ‎‡A  The identification and quantification of microplastics in potable water and its sources within Water Treatment Works in England and Wales‏ ‎‡9  1‏
919 ‎‡a  futureoftheweightofevidenceapproacharesponsetosuterscomments‏ ‎‡A  The Future of the Weight‐of‐Evidence Approach: A Response to Suter's Comments‏ ‎‡9  1‏
919 ‎‡a  distributionofpolychlorinatedbiphenylspcbsintheriverthamescatchmentunderthescenariosofclimatechange‏ ‎‡A  The distribution of Polychlorinated Biphenyls (PCBs) in the River Thames Catchment under the scenarios of climate change.‏ ‎‡9  1‏
919 ‎‡a  challengepresentedbyprogestinsinecotoxicologicalresearchacriticalreview‏ ‎‡A  The challenge presented by progestins in ecotoxicological research: a critical review.‏ ‎‡9  1‏
919 ‎‡a  britishriverofthefuturehowclimatechangeandhumanactivitymightaffect2contrastingriverecosystemsinengland‏ ‎‡A  The British river of the future: how climate change and human activity might affect two contrasting river ecosystems in England‏ ‎‡9  1‏
919 ‎‡a  arrivalanddischargeofconjugatedestrogensfromarangeofdifferentsewagetreatmentplantsintheuk‏ ‎‡A  The arrival and discharge of conjugated estrogens from a range of different sewage treatment plants in the UK.‏ ‎‡9  1‏
919 ‎‡a  apparentlyveryvariablepotencyoftheantidepressantfluoxetine‏ ‎‡A  The apparently very variable potency of the anti-depressant fluoxetine‏ ‎‡9  1‏
919 ‎‡a  spatialandtemporalchangesinchlorophyllaconcentrationsintheriverthamesbasinukarephosphorusconcentrationsbeginningtolimitphytoplanktonbiomass‏ ‎‡A  Spatial and temporal changes in chlorophyll-a concentrations in the River Thames basin, UK: are phosphorus concentrations beginning to limit phytoplankton biomass?‏ ‎‡9  1‏
919 ‎‡a  riskofendocrinedisruptiontofishintheyellowrivercatchmentinchinaassessedusingaspatiallyexplicitmodel‏ ‎‡A  Risk of endocrine disruption to fish in the Yellow River catchment in China assessed using a spatially explicit model‏ ‎‡9  1‏
919 ‎‡a  regionalmulticompartmentecologicalriskassessmentestablishingcadmiumpollutionriskinthenorthernbohairimchina‏ ‎‡A  Regional multi-compartment ecological risk assessment: Establishing cadmium pollution risk in the northern Bohai Rim, China‏ ‎‡9  1‏
919 ‎‡a  reassessingtherisksoftamifluuseduringapandemictothelowercoloradoriver‏ ‎‡A  Reassessing the risks of Tamiflu use during a pandemic to the Lower Colorado River‏ ‎‡9  1‏
919 ‎‡a  rapiddeterminationoffreeandconjugatedestrogenindifferentwatermatricesbyliquidchromatographytandemmassspectrometry‏ ‎‡A  Rapid determination of free and conjugated estrogen in different water matrices by liquid chromatography-tandem mass spectrometry‏ ‎‡9  1‏
919 ‎‡a  quantificationofpharmaceuticalrelatedbiologicalactivityineffluentsfromwastewatertreatmentplantsinukandjapan‏ ‎‡A  Quantification of Pharmaceutical Related Biological Activity in Effluents from Wastewater Treatment Plants in UK and Japan‏ ‎‡9  1‏
919 ‎‡a  puttingpharmaceuticalsintothewidercontextofchallengestofishpopulationsinrivers‏ ‎‡A  Putting pharmaceuticals into the wider context of challenges to fish populations in rivers.‏ ‎‡9  1‏
919 ‎‡a  probabilisticassessmentofrisksofdiethylhexylphthalatedehpinsurfacewatersofchinaonreproductionoffish‏ ‎‡A  Probabilistic assessment of risks of diethylhexyl phthalate (DEHP) in surface waters of China on reproduction of fish‏ ‎‡9  1‏
919 ‎‡a  probabilisticassessmentofrisksofdiethylhexylphthalate‏ ‎‡A  Probabilistic assessment of risks of diethylhexyl phthalate‏ ‎‡9  1‏
919 ‎‡a  principlesofsoundecotoxicology‏ ‎‡A  Principles of sound ecotoxicology‏ ‎‡9  1‏
919 ‎‡a  predictingnationalexposuretoapointsourcechemicaljapanandendocrinedisruptionasanexample‏ ‎‡A  Predicting national exposure to a point source chemical: Japan and endocrine disruption as an example‏ ‎‡9  1‏
919 ‎‡a  predictingcontaminationbythefueladditiveceriumoxideengineerednanoparticleswithintheunitedkingdomandtheassociatedrisks‏ ‎‡A  Predicting contamination by the fuel additive cerium oxide engineered nanoparticles within the United Kingdom and the associated risks‏ ‎‡9  1‏
919 ‎‡a  predictingconcentrationsofthecytostaticdrugscyclophosphamidecarboplatin5fluorouracilandcapecitabinethroughoutthesewageeffluentsandsurfacewatersofeurope‏ ‎‡A  Predicting concentrations of the cytostatic drugs cyclophosphamide, carboplatin, 5-fluorouracil, and capecitabine throughout the sewage effluents and surface waters of Europe‏ ‎‡9  1‏
919 ‎‡a  predictednoeffectconcentrationpnecandassessmentofriskforthefungicidetriadimefonbasedonreproductivefitnessofaquaticorganisms‏ ‎‡A  Predicted no-effect concentration (PNEC) and assessment of risk for the fungicide, triadimefon based on reproductive fitness of aquatic organisms‏ ‎‡9  1‏
919 ‎‡a  potentialrisksassociatedwiththeproposedwidespreaduseoftamiflu‏ ‎‡A  Potential risks associated with the proposed widespread use of Tamiflu.‏ ‎‡9  1‏
919 ‎‡a  perfluoroalkylacidspfaasinindoorandoutdoordustsaroundamegafluorochemicalindustrialparkinchinaimplicationsforhumanexposure‏ ‎‡A  Perfluoroalkyl acids (PFAAs) in indoor and outdoor dusts around a mega fluorochemical industrial park in China: Implications for human exposure‏ ‎‡9  1‏
919 ‎‡a  particulateandcolloidalsilverinsewageeffluentandsludgedischargedfrombritishwastewatertreatmentplants‏ ‎‡A  Particulate and colloidal silver in sewage effluent and sludge discharged from British wastewater treatment plants.‏ ‎‡9  1‏
919 ‎‡a  naturalvariationsinflowarecriticalindeterminingconcentrationsofpointsourcecontaminantsinriversanestrogenexample‏ ‎‡A  Natural Variations in Flow Are Critical in Determining Concentrations of Point Source Contaminants in Rivers: An Estrogen Example‏ ‎‡9  1‏
919 ‎‡a  nanosilverandnanozincoxideinsurfacewatersexposureestimationforeuropeathighspatialandtemporalresolution‏ ‎‡A  Nano silver and nano zinc-oxide in surface waters - exposure estimation for Europe at high spatial and temporal resolution‏ ‎‡9  1‏
919 ‎‡a  meetingreportriskassessmentoftamifluuseunderpandemicconditions‏ ‎‡A  Meeting report: risk assessment of tamiflu use under pandemic conditions.‏ ‎‡9  1‏
919 ‎‡a  longtermtrendsof2generationanticoagulantrodenticidessgarsshowwidespreadcontaminationofabirdeatingpredatortheeurasiansparrowhawkaccipiternisusinbritain‏ ‎‡A  Long-term trends of second generation anticoagulant rodenticides (SGARs) show widespread contamination of a bird-eating predator, the Eurasian Sparrowhawk (Accipiter nisus) in Britain‏ ‎‡9  1‏
919 ‎‡a  learningfromthepastandconsideringthefutureofchemicalsintheenvironment‏ ‎‡A  Learning from the past and considering the future of chemicals in the environment‏ ‎‡9  1‏
919 ‎‡a  invertebratebiodiversitycontinuestodeclineincropland‏ ‎‡A  Invertebrate biodiversity continues to decline in cropland‏ ‎‡9  1‏
919 ‎‡a  improvingthequalityofwastewatertotackletraceorganiccontaminantsthinkbeforeyouact‏ ‎‡A  Improving the quality of wastewater to tackle trace organic contaminants: think before you act!‏ ‎‡9  1‏
919 ‎‡a  howseasonalityaffectstheflowofestrogensandtheirconjugatesin1ofjapansmostpopulouscatchments‏ ‎‡A  How seasonality affects the flow of estrogens and their conjugates in one of Japan's most populous catchments‏ ‎‡9  1‏
919 ‎‡a  hazardposedbymetalsandasinpm25inairof5megacitiesinthebeijingtianjinhebeiregionofchinaduringapec‏ ‎‡A  Hazard posed by metals and As in PM2.5 in air of five megacities in the Beijing-Tianjin-Hebei region of China during APEC.‏ ‎‡9  1‏
919 ‎‡a  gasliquidchromatographytandemmassspectrometrymethodologyforthequantitationofestrogeniccontaminantsinbileoffishexposedtowastewatertreatmentworkseffluentsandfromwildpopulations‏ ‎‡A  Gas-liquid chromatography-tandem mass spectrometry methodology for the quantitation of estrogenic contaminants in bile of fish exposed to wastewater treatment works effluents and from wild populations‏ ‎‡9  1‏
919 ‎‡a  evidenceneededtomanagefreshwaterecosystemsinachangingclimateturningadaptationprinciplesintopractice‏ ‎‡A  Evidence needed to manage freshwater ecosystems in a changing climate: turning adaptation principles into practice.‏ ‎‡9  1‏
919 ‎‡a  endocrinedisruptionduetoestrogensderivedfromhumanspredictedtobelowinthemajorityofussurfacewaters‏ ‎‡A  Endocrine disruption due to estrogens derived from humans predicted to be low in the majority of U.S. surface waters.‏ ‎‡9  1‏
919 ‎‡a  elevatedriskfromestrogensintheyodoriverbasinjapaninwinterandozonationasamanagementoption‏ ‎‡A  Elevated risk from estrogens in the Yodo River basin (Japan) in winter and ozonation as a management option.‏ ‎‡9  1‏
919 ‎‡a  elevatedriskfromestrogensintheyodoriverbasin‏ ‎‡A  Elevated risk from estrogens in the Yodo River basin‏ ‎‡9  1‏
919 ‎‡a  doesexposuretodomesticwastewatereffluentincludingsteroidestrogensharmfishpopulationsintheuk‏ ‎‡A  Does exposure to domestic wastewater effluent (including steroid estrogens) harm fish populations in the UK?‏ ‎‡9  1‏
919 ‎‡a  dosuspendedsedimentsmodulatetheeffectsofoctylphenolonrainbowtrout‏ ‎‡A  Do suspended sediments modulate the effects of octylphenol on rainbow trout?‏ ‎‡9  1‏
919 ‎‡a  doconcentrationsofethinylestradiolestradiolanddiclofenacineuropeanriversexceedproposedeuenvironmentalqualitystandards‏ ‎‡A  Do concentrations of ethinylestradiol, estradiol, and diclofenac in European rivers exceed proposed EU environmental quality standards?‏ ‎‡9  1‏
919 ‎‡a  determinationofcyclophosphamideandifosfamideinsewageeffluentbystableisotopedilutionliquidchromatographytandemmassspectrometry‏ ‎‡A  Determination of cyclophosphamide and ifosfamide in sewage effluent by stable isotope-dilution liquid chromatography-tandem mass spectrometry.‏ ‎‡9  1‏
919 ‎‡a  conjugationbehaviorofconjugatedestrogensintherawsewageactivatedsludgeandriverwater‏ ‎‡A  De-conjugation behavior of conjugated estrogens in the raw sewage, activated sludge and river water‏ ‎‡9  1‏
919 ‎‡a  comparingpredictedagainstmeasuredsteroidestrogenconcentrationsandtheassociatedriskin2unitedkingdomrivercatchments‏ ‎‡A  Comparing predicted against measured steroid estrogen concentrations and the associated risk in two United Kingdom river catchments‏ ‎‡9  1‏
919 ‎‡a  bridgingthegapadvancingecologicalriskassessmentfromlaboratorypredictionstoecosystemreality‏ ‎‡A  Bridging the Gap: Advancing Ecological Risk Assessment from Laboratory Predictions to Ecosystem Reality‏ ‎‡9  1‏
919 ‎‡a  assessingtheconcentrationsofpolarorganicmicrocontaminantsfrompointsourcesintheaquaticenvironmentmeasureormodel‏ ‎‡A  Assessing the concentrations of polar organic microcontaminants from point sources in the aquatic environment: measure or model?‏ ‎‡9  1‏
919 ‎‡a  assessingtheconcentrationsandrisksoftoxicityfromtheantibioticsciprofloxacinsulfamethoxazoletrimethoprimanderythromycinineuropeanrivers‏ ‎‡A  Assessing the concentrations and risks of toxicity from the antibiotics ciprofloxacin, sulfamethoxazole, trimethoprim and erythromycin in European rivers.‏ ‎‡9  1‏
919 ‎‡a  arewegoingaboutchemicalriskassessmentfortheaquaticenvironmentthewrongway‏ ‎‡A  Are we going about chemical risk assessment for the aquatic environment the wrong way?‏ ‎‡9  1‏
919 ‎‡a  assessmentofthefatebehaviourandenvironmentalriskassociatedwithsunscreentio2nanoparticlesinukfieldscenarios‏ ‎‡A  An assessment of the fate, behaviour and environmental risk associated with sunscreen TiO₂ nanoparticles in UK field scenarios‏ ‎‡9  1‏
919 ‎‡a  restatementofthenaturalscienceevidencebaseontheeffectsofendocrinedisruptingchemicalsonwildlife‏ ‎‡A  A restatement of the natural science evidence base on the effects of endocrine disrupting chemicals on wildlife‏ ‎‡9  1‏
919 ‎‡a  rationalapproachtoselectingandrankingsomepharmaceuticalsofconcernfortheaquaticenvironmentandtheirrelativeimportancecomparedwithotherchemicals‏ ‎‡A  A rational approach to selecting and ranking some pharmaceuticals of concern for the aquatic environment and their relative importance compared with other chemicals‏ ‎‡9  1‏
919 ‎‡a  10anniversaryperspectivereflectionsonendocrinedisruptionintheaquaticenvironmentfromknownknownstounknownunknownsandmanythingsinbetween‏ ‎‡A  10th Anniversary Perspective: Reflections on endocrine disruption in the aquatic environment: from known knowns to unknown unknowns (and many things in between).‏ ‎‡9  1‏
919 ‎‡a  10anniversaryperspectivereflectionsonendocrinedisruptionintheaquaticenvironmentfromknownknownstounknownunknowns‏ ‎‡A  10th Anniversary Perspective: Reflections on endocrine disruption in the aquatic environment: from known knowns to unknown unknowns‏ ‎‡9  1‏
946 ‎‡a  b‏ ‎‡9  1‏
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996 ‎‡2  BIBSYS|90250311‏
996 ‎‡2  BIBSYS|6011043‏
996 ‎‡2  LC|n 2009040868‏
996 ‎‡2  EGAXA|vtls003030290‏
996 ‎‡2  LC|no2012021060‏
996 ‎‡2  ISNI|000000000132688X‏
996 ‎‡2  SUDOC|259976555‏
996 ‎‡2  LC|no2023069039‏
996 ‎‡2  NUKAT|n 2010133915‏
996 ‎‡2  J9U|987007428400405171‏
996 ‎‡2  RERO|A012320076‏
996 ‎‡2  LC|nr 99037038‏
996 ‎‡2  CAOONL|ncf10229246‏
996 ‎‡2  ISNI|0000000460441852‏
996 ‎‡2  ISNI|000000049774980X‏
996 ‎‡2  DNB|107586271X‏
996 ‎‡2  LC|n 85308694‏
996 ‎‡2  B2Q|0001593983‏
996 ‎‡2  ISNI|0000000451417164‏
996 ‎‡2  BNF|17129218‏
996 ‎‡2  LC|no2020047426‏
996 ‎‡2  NSK|000221494‏
996 ‎‡2  N6I|vtls000347110‏
996 ‎‡2  LC|no2018023368‏
996 ‎‡2  W2Z|1633429926986‏
996 ‎‡2  NKC|jo2016912343‏
996 ‎‡2  ISNI|0000000050261330‏
996 ‎‡2  BNF|12424749‏
996 ‎‡2  J9U|987012797880205171‏
996 ‎‡2  DNB|129701211‏
996 ‎‡2  J9U|987007437329705171‏
996 ‎‡2  NTA|27378398X‏
996 ‎‡2  DNB|1117142604‏
996 ‎‡2  BIBSYS|12069752‏
996 ‎‡2  SUDOC|135658403‏
996 ‎‡2  JPG|500184562‏
996 ‎‡2  LC|no2004099645‏
996 ‎‡2  NSK|000602065‏
996 ‎‡2  DNB|1190194163‏
996 ‎‡2  J9U|987007328491805171‏
996 ‎‡2  N6I|vtls000117318‏
996 ‎‡2  BNF|12229665‏
996 ‎‡2  LC|nb 99061943‏
996 ‎‡2  BNF|16580393‏
996 ‎‡2  LNB|LNC10-000249414‏
996 ‎‡2  BIBSYS|2041404‏
996 ‎‡2  SUDOC|128885858‏
996 ‎‡2  JPG|500285589‏
996 ‎‡2  LC|no 96055509‏
996 ‎‡2  CAOONL|ncf10102701‏
996 ‎‡2  CAOONL|ncf10157663‏
996 ‎‡2  SUDOC|265954533‏
996 ‎‡2  NTA|410580945‏
996 ‎‡2  BLBNB|001553529‏
996 ‎‡2  J9U|987007388212105171‏
996 ‎‡2  ISNI|0000000041180790‏
996 ‎‡2  SUDOC|271576154‏
996 ‎‡2  LC|no2021150284‏
996 ‎‡2  ISNI|0000000408702146‏
996 ‎‡2  J9U|987007333337305171‏
996 ‎‡2  LC|no2018176485‏
996 ‎‡2  BIBSYS|98024422‏
996 ‎‡2  LC|no2022119400‏
996 ‎‡2  SUDOC|183048636‏
996 ‎‡2  UIY|000000697‏
996 ‎‡2  SUDOC|250337940‏
996 ‎‡2  SUDOC|11437189X‏
996 ‎‡2  CAOONL|ncf11471671‏
996 ‎‡2  NYNYRILM|48778‏
996 ‎‡2  DNB|1240257139‏
996 ‎‡2  LC|no2006108564‏
996 ‎‡2  LC|no2006128420‏
996 ‎‡2  SUDOC|067005543‏
996 ‎‡2  BIBSYS|90382654‏
996 ‎‡2  LC|n 90686544‏
996 ‎‡2  SUDOC|162418477‏
996 ‎‡2  NUKAT|n 99052171‏
996 ‎‡2  DNB|1284234940‏
996 ‎‡2  BNCHL|10000000000000000156556‏
996 ‎‡2  LC|no2016004622‏
996 ‎‡2  NUKAT|n 2011102602‏
996 ‎‡2  CAOONL|ncf10337650‏
996 ‎‡2  NKC|xx0143957‏
996 ‎‡2  ISNI|0000000039232600‏
996 ‎‡2  SKMASNL|vtls011600008‏
996 ‎‡2  BNE|XX5851339‏
996 ‎‡2  LC|no 92025417‏
996 ‎‡2  NSK|000127203‏
996 ‎‡2  LC|no2016034640‏
996 ‎‡2  NTA|344706885‏
996 ‎‡2  DNB|111610170X‏
996 ‎‡2  ISNI|0000000038467205‏
996 ‎‡2  LC|no2012054118‏
996 ‎‡2  LC|no2023053431‏
996 ‎‡2  J9U|987007326546205171‏
996 ‎‡2  LC|n 2012043431‏
996 ‎‡2  LC|n 88662155‏
996 ‎‡2  SUDOC|122541294‏
996 ‎‡2  LC|no2024024956‏
996 ‎‡2  RERO|A009560710‏
996 ‎‡2  PLWABN|9810574176905606‏
996 ‎‡2  ISNI|0000000076245160‏
996 ‎‡2  ISNI|000000002847572X‏
996 ‎‡2  LC|n 88034220‏
996 ‎‡2  LC|n 97004042‏
996 ‎‡2  NDL|00514117‏
996 ‎‡2  ISNI|0000000001646920‏
996 ‎‡2  LC|no2013094976‏
996 ‎‡2  LC|no2009146116‏
996 ‎‡2  BAV|495_261212‏
996 ‎‡2  RERO|A025105656‏
996 ‎‡2  J9U|987007394194705171‏
996 ‎‡2  NII|DA02309407‏
996 ‎‡2  BIBSYS|90735727‏
996 ‎‡2  BIBSYS|90342859‏
996 ‎‡2  RERO|A013103327‏
996 ‎‡2  LC|no2003021924‏
996 ‎‡2  PTBNP|1730872‏
996 ‎‡2  RERO|A009101632‏
996 ‎‡2  ISNI|0000000077152812‏
996 ‎‡2  LC|n 87111006‏
996 ‎‡2  LC|nr 96027656‏
996 ‎‡2  SUDOC|11917460X‏
996 ‎‡2  NTA|068928327‏
996 ‎‡2  NTA|131625918‏
996 ‎‡2  SUDOC|16678978X‏
996 ‎‡2  LC|nb2012006523‏
996 ‎‡2  NSK|000785030‏
996 ‎‡2  DNB|1073894193‏
996 ‎‡2  LC|n 85000841‏
996 ‎‡2  CAOONL|ncf11069081‏
996 ‎‡2  SUDOC|066873533‏
996 ‎‡2  RERO|A026017197‏
996 ‎‡2  BNF|15060661‏
996 ‎‡2  BIBSYS|6026382‏
996 ‎‡2  CAOONL|ncf10413316‏
996 ‎‡2  DNB|1147188807‏
996 ‎‡2  DNB|135146453‏
996 ‎‡2  SUDOC|080293891‏
996 ‎‡2  CAOONL|ncf11303959‏
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996 ‎‡2  NTA|402081412‏
996 ‎‡2  ISNI|000000005353463X‏
996 ‎‡2  ISNI|0000000047004253‏
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996 ‎‡2  LC|n 00064886‏
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996 ‎‡2  DNB|1347688706‏
996 ‎‡2  ISNI|000000040939208X‏
996 ‎‡2  DBC|87097961960619‏
996 ‎‡2  BNF|12492543‏
996 ‎‡2  CAOONL|ncf10127625‏
996 ‎‡2  PLWABN|9810585319505606‏
996 ‎‡2  ISNI|0000000117502427‏
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996 ‎‡2  SELIBR|cw7xpc209k7j1fzn‏
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996 ‎‡2  NTA|08749809X‏
996 ‎‡2  RERO|A013277384‏
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996 ‎‡2  RERO|A003427556‏
996 ‎‡2  NUKAT|n 2010304708‏
996 ‎‡2  ISNI|0000000052735528‏
996 ‎‡2  ISNI|0000000367724241‏
996 ‎‡2  ISNI|0000000118732494‏
996 ‎‡2  LC|n 2008022895‏
996 ‎‡2  NKC|jn20011211102‏
996 ‎‡2  ISNI|0000000080858189‏
996 ‎‡2  ISNI|0000000050017282‏
996 ‎‡2  BIBSYS|8016032‏
996 ‎‡2  SUDOC|120679272‏
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996 ‎‡2  ISNI|0000000075950044‏
996 ‎‡2  NUKAT|n 2011216950‏
996 ‎‡2  ISNI|0000000499637860‏
996 ‎‡2  SELIBR|192319‏
996 ‎‡2  LC|no2015079394‏
996 ‎‡2  BIBSYS|90206789‏
996 ‎‡2  NII|DA0850364X‏
996 ‎‡2  RERO|A027704222‏
997 ‎‡a  0 0 lived 0 0‏ ‎‡9  1‏