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1
Metal distribution and Sr and Pb stable isotope ratios for sediment samples of Atair cruise AT275
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Metal distribution and Sr and Pb stable isotope ratios for sediment samples of Atair cruise AT275

CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess

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2
Sediment core and pore water data for HE586
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Sediment core and pore water data for HE586

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3
Sediment core and pore water data for AL557
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Sediment core and pore water data for AL557

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4
Metal distribution and Sr and Pb stable isotope ratios for sediment samples of ATAIR cruise AT261
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Metal distribution and Sr and Pb stable isotope ratios for sediment samples of ATAIR cruise AT261

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5
Metal distribution for sediment samples of Ludwig Prandtl cruise LP20200629
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Metal distribution for sediment samples of Ludwig Prandtl cruise LP20200629

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6
The path forward for Europe’s green transition
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The path forward for Europe’s green transition

European view, 2023-04, Vol.22 (1), p.131-139

The Author(s) 2023 ;ISSN: 1781-6858 ;EISSN: 1865-5831 ;DOI: 10.1177/17816858231163940

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7
Sr, Nd and Pb isotopic signatures and elemental pattern in surface sediments in the Elbe River Estuary in 2015
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Sr, Nd and Pb isotopic signatures and elemental pattern in surface sediments in the Elbe River Estuary in 2015

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8
Review: Sources of Hydrological Model Uncertainties and Advances in Their Analysis
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Review: Sources of Hydrological Model Uncertainties and Advances in Their Analysis

Water (Basel), 2021-01, Vol.13 (1), p.28 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2073-4441 ;EISSN: 2073-4441 ;DOI: 10.3390/w13010028

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9
Metal distribution for sediment samples of the Ludwig Prandtl cruise LP20160725
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Metal distribution for sediment samples of the Ludwig Prandtl cruise LP20160725

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10
Nutrient and trace metal data distribution from water samples of HEINCKE cruise HE586
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Nutrient and trace metal data distribution from water samples of HEINCKE cruise HE586

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11
Nutrient and trace metal data distribution from water samples of ALKOR cruise AL557
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Nutrient and trace metal data distribution from water samples of ALKOR cruise AL557

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12
Reconciling approaches to climate change adaptation for Colombian agriculture
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Reconciling approaches to climate change adaptation for Colombian agriculture

Climatic change, 2013, Vol.119, p.3-4 [Peer Reviewed Journal]

Wageningen University & Research ;ISSN: 0165-0009 ;EISSN: 1573-1480

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13
Uncertainties in projecting climate-change impacts in marine ecosystems
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Uncertainties in projecting climate-change impacts in marine ecosystems

ICES journal of marine science, 2016-05, Vol.73 (5), p.1272-1282 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1054-3139 ;EISSN: 1095-9289 ;DOI: 10.1093/icesjms/fsv231

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14
Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review
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Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review

Structural and multidisciplinary optimization, 2018-06, Vol.57 (6), p.2485-2502 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2017 ;Copyright Springer Science & Business Media 2018 ;Structural and Multidisciplinary Optimization is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 1615-147X ;EISSN: 1615-1488 ;DOI: 10.1007/s00158-017-1864-4

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15
How to measure uncertainty in uncertainty sampling for active learning
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How to measure uncertainty in uncertainty sampling for active learning

Machine learning, 2022, Vol.111 (1), p.89-122 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-06003-9

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16
Comparing sources and analysis of uncertainty in consequential and attributional life cycle assessment: review of current practice and recommendations
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Comparing sources and analysis of uncertainty in consequential and attributional life cycle assessment: review of current practice and recommendations

The international journal of life cycle assessment, 2020, Vol.25 (1), p.168-180 [Peer Reviewed Journal]

The Author(s) 2019 ;The International Journal of Life Cycle Assessment is a copyright of Springer, (2019). All Rights Reserved. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0948-3349 ;EISSN: 1614-7502 ;DOI: 10.1007/s11367-019-01663-1

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17
The Relationship Between Uncertainty and Affect
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The Relationship Between Uncertainty and Affect

Frontiers in psychology, 2019-11, Vol.10, p.2504-2504 [Peer Reviewed Journal]

COPYRIGHT 2019 Frontiers Research Foundation ;Copyright © 2019 Anderson, Carleton, Diefenbach and Han. 2019 Anderson, Carleton, Diefenbach and Han ;ISSN: 1664-1078 ;EISSN: 1664-1078 ;DOI: 10.3389/fpsyg.2019.02504 ;PMID: 31781003

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18
Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication
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Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication

Hydrological sciences journal, 2016-07, Vol.61 (9), p.1652-1665 [Peer Reviewed Journal]

2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2016 ;2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. ;ISSN: 0262-6667 ;ISSN: 2150-3435 ;EISSN: 2150-3435 ;DOI: 10.1080/02626667.2015.1031761

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19
An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
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An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction

Water resources research, 2007-01, Vol.43 (1), p.W01403-n/a [Peer Reviewed Journal]

2008 American Geophysical Union ;Copyright 2007 by the American Geophysical Union. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2005WR004745

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20
Quantifying the Multi-Objective Cost of Uncertainty
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Quantifying the Multi-Objective Cost of Uncertainty

IEEE access, 2021-01, Vol.9, p.80351-80359 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2021.3085486 ;CODEN: IAECCG

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