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Items: 23

1.

Spatially differentiated regulation: Can it save the Baltic Sea from excessive N-loads?

Refsgaard JC, Hansen AL, Højberg AL, Olesen JE, Hashemi F, Wachniew P, Wörman A, Bartosova A, Stelljes N, Chubarenko B.

Ambio. 2019 Jun 11. doi: 10.1007/s13280-019-01195-w. [Epub ahead of print]

PMID:
31187428
2.

Improving Peptide-Spectrum Matching by Fragmentation Prediction Using Hidden Markov Models.

Kirik U, Refsgaard JC, Jensen LJ.

J Proteome Res. 2019 Jun 7;18(6):2385-2396. doi: 10.1021/acs.jproteome.8b00499. Epub 2019 May 22.

PMID:
31074280
3.

Effects of changes in land use and climate on aquatic ecosystems: Coupling of models and decomposition of uncertainties.

Trolle D, Nielsen A, Andersen HE, Thodsen H, Olesen JE, Børgesen CD, Refsgaard JC, Sonnenborg TO, Karlsson IB, Christensen JP, Markager S, Jeppesen E.

Sci Total Environ. 2019 Mar 20;657:627-633. doi: 10.1016/j.scitotenv.2018.12.055. Epub 2018 Dec 5.

4.

The Baltic Sea as a time machine for the future coastal ocean.

Reusch TBH, Dierking J, Andersson HC, Bonsdorff E, Carstensen J, Casini M, Czajkowski M, Hasler B, Hinsby K, Hyytiäinen K, Johannesson K, Jomaa S, Jormalainen V, Kuosa H, Kurland S, Laikre L, MacKenzie BR, Margonski P, Melzner F, Oesterwind D, Ojaveer H, Refsgaard JC, Sandström A, Schwarz G, Tonderski K, Winder M, Zandersen M.

Sci Adv. 2018 May 9;4(5):eaar8195. doi: 10.1126/sciadv.aar8195. eCollection 2018 May. Review.

5.

Potential benefits of a spatially targeted regulation based on detailed N-reduction maps to decrease N-load from agriculture in a small groundwater dominated catchment.

Hansen AL, Refsgaard JC, Olesen JE, Børgesen CD.

Sci Total Environ. 2017 Oct 1;595:325-336. doi: 10.1016/j.scitotenv.2017.03.114. Epub 2017 Apr 4.

PMID:
28388450
6.

RAIN: RNA-protein Association and Interaction Networks.

Junge A, Refsgaard JC, Garde C, Pan X, Santos A, Alkan F, Anthon C, von Mering C, Workman CT, Jensen LJ, Gorodkin J.

Database (Oxford). 2017 Jan 10;2017. doi: 10.1093/database/baw167. Print 2017. Erratum in: Database (Oxford). 2017 Jan 1;2017(1):.

7.

Local control on precipitation in a fully coupled climate-hydrology model.

Larsen MA, Christensen JH, Drews M, Butts MB, Refsgaard JC.

Sci Rep. 2016 Mar 10;6:22927. doi: 10.1038/srep22927.

8.

Impact of microRNA-130a on the neutrophil proteome.

Pedersen CC, Refsgaard JC, Østergaard O, Jensen LJ, Heegaard NH, Borregaard N, Cowland JB.

BMC Immunol. 2015 Nov 25;16:70. doi: 10.1186/s12865-015-0134-8.

9.

Systems Analysis for Interpretation of Phosphoproteomics Data.

Munk S, Refsgaard JC, Olsen JV.

Methods Mol Biol. 2016;1355:341-60. doi: 10.1007/978-1-4939-3049-4_23. Review.

PMID:
26584937
10.

Search Databases and Statistics: Pitfalls and Best Practices in Phosphoproteomics.

Refsgaard JC, Munk S, Jensen LJ.

Methods Mol Biol. 2016;1355:323-39. doi: 10.1007/978-1-4939-3049-4_22. Review.

PMID:
26584936
11.

From Phosphosites to Kinases.

Munk S, Refsgaard JC, Olsen JV, Jensen LJ.

Methods Mol Biol. 2016;1355:307-21. doi: 10.1007/978-1-4939-3049-4_21. Review.

PMID:
26584935
12.

Avoiding abundance bias in the functional annotation of post-translationally modified proteins.

Schölz C, Lyon D, Refsgaard JC, Jensen LJ, Choudhary C, Weinert BT.

Nat Methods. 2015 Nov;12(11):1003-4. doi: 10.1038/nmeth.3621. No abstract available.

PMID:
26513550
13.

Comparison and evaluation of model structures for the simulation of pollution fluxes in a tile-drained river basin.

Hoang L, van Griensven A, van der Keur P, Refsgaard JC, Troldborg L, Nilsson B, Mynett A.

J Environ Qual. 2014 Jan;43(1):86-99. doi: 10.2134/jeq2011.0398.

PMID:
25602543
14.

Nitrate reduction in geologically heterogeneous catchments--a framework for assessing the scale of predictive capability of hydrological models.

Refsgaard JC, Auken E, Bamberg CA, Christensen BS, Clausen T, Dalgaard E, Effersø F, Ernstsen V, Gertz F, Hansen AL, He X, Jacobsen BH, Jensen KH, Jørgensen F, Jørgensen LF, Koch J, Nilsson B, Petersen C, De Schepper G, Schamper C, Sørensen KI, Therrien R, Thirup C, Viezzoli A.

Sci Total Environ. 2014 Jan 15;468-469:1278-88. doi: 10.1016/j.scitotenv.2013.07.042. Epub 2013 Aug 13.

PMID:
23953482
15.

CrossWork: software-assisted identification of cross-linked peptides.

Rasmussen MI, Refsgaard JC, Peng L, Houen G, Højrup P.

J Proteomics. 2011 Sep 6;74(10):1871-83. doi: 10.1016/j.jprot.2011.04.019. Epub 2011 May 11.

PMID:
21600323
16.

Groundwater modeling in integrated water resources management--visions for 2020.

Refsgaard JC, Højberg AL, Møller I, Hansen M, Søndergaard V.

Ground Water. 2010 Sep-Oct;48(5):633-48. doi: 10.1111/j.1745-6584.2009.00634.x. Epub 2009 Sep 28.

PMID:
19788560
17.

Numerical analysis of water and solute transport in variably-saturated fractured clayey till.

Rosenbom AE, Therrien R, Refsgaard JC, Jensen KH, Ernstsen V, Klint KE.

J Contam Hydrol. 2009 Feb 16;104(1-4):137-52. doi: 10.1016/j.jconhyd.2008.09.001. Epub 2008 Sep 19.

PMID:
18926594
18.

Fluorescence imaging applied to tracer distributions in variably saturated fractured clayey till.

Rosenbom AE, Ernstsen V, Flühler H, Jensen KH, Refsgaard JC, Wydler H.

J Environ Qual. 2008 Feb 11;37(2):448-58. doi: 10.2134/jeq2007.0145. Print 2008 Mar-Apr.

PMID:
18268308
19.

Operationalising uncertainty in data and models for integrated water resources management.

Blind MW, Refsgaard JC.

Water Sci Technol. 2007;56(9):1-12.

PMID:
18025725
20.

Joint use of monitoring and modelling.

Jørgensen LF, Refsgaard JC, Højberg AL.

Water Sci Technol. 2007;56(8):21-9.

PMID:
17978429
21.

The inadequacy of monitoring without modelling support.

Jørgensen LF, Refsgaard JC, Højberg AL.

J Environ Monit. 2007 Sep;9(9):931-42. Epub 2007 Jul 20.

PMID:
17726553
22.

Model uncertainty--parameter uncertainty versus conceptual models.

Højberg AL, Refsgaard JC.

Water Sci Technol. 2005;52(6):177-86.

PMID:
16304950
23.

An integrated methodology for recording uncertainties about environmental data.

Brown JD, Heuvelink GB, Refsgaard JC.

Water Sci Technol. 2005;52(6):153-60.

PMID:
16304947

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