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DOROTA JARECKA
DOROTA JARECKA
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Title
Cited by
Cited by
Year
Nipype
KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ...
Software, 2018
1462018
nipy/nibabel: 3.2. 1
M Brett, CJ Markiewicz, M Hanke, MA Côté, B Cipollini, P McCarthy, ...
Zenodo, 2020
123*2020
DataLad: distributed system for joint management of code, data, and their relationship
YO Halchenko, K Meyer, B Poldrack, DS Solanky, AS Wagner, J Gors, ...
Journal of Open Source Software 6 (63), 3262, 2021
1222021
Everything matters: the ReproNim perspective on reproducible neuroimaging
DN Kennedy, SA Abraham, JF Bates, A Crowley, S Ghosh, T Gillespie, ...
Frontiers in neuroinformatics 13, 1, 2019
682019
Large-eddy simulations of EUCLIPSE–GASS Lagrangian stratocumulus-to-cumulus transitions: Mean state, turbulence, and decoupling
SR De Roode, I Sandu, JJ Van Der Dussen, AS Ackerman, P Blossey, ...
Journal of the Atmospheric Sciences 73 (6), 2485-2508, 2016
642016
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13. 1
KJ Gorgolewski, O Esteban, DG Ellis, MP Notter, E Ziegler, H Johnson, ...
Zenodo, 2017
582017
NiMARE: neuroimaging meta-analysis research environment
T Salo, T Yarkoni, TE Nichols, JB Poline, M Bilgel, KL Bottenhorn, ...
NeuroLibre 1 (1), 7, 2022
572022
nipy/nipype: 1.5. 1
O Esteban, CJ Markiewicz, C Burns, M Goncalves, D Jarecka, E Ziegler, ...
Computer software]. Zenodo. https://doi. org/10.5281/zenodo 4035081, 2020
452020
Modeling condensation in shallow nonprecipitating convection
WW Grabowski, D Jarecka
Journal of the Atmospheric Sciences 72 (12), 4661-4679, 2015
402015
Homogeneity of the subgrid-scale turbulent mixing in large-eddy simulation of shallow convection
D Jarecka, WW Grabowski, H Morrison, H Pawlowska
Journal of the atmospheric sciences 70 (9), 2751-2767, 2013
402013
A guide to the BRAIN Initiative Cell Census Network data ecosystem
M Hawrylycz, ME Martone, GA Ascoli, JG Bjaalie, HW Dong, SS Ghosh, ...
PLoS biology 21 (6), e3002133, 2023
322023
libmpdata++ 1.0: a library of parallel MPDATA solvers for systems of generalised transport equations
A Jaruga, S Arabas, D Jarecka, H Pawlowska, PK Smolarkiewicz, ...
Geoscientific Model Development 8 (4), 1005-1032, 2015
252015
Modeling of subgrid-scale mixing in large-eddy simulation of shallow convection
D Jarecka, WW Grabowski, H Pawlowska
Journal of the atmospheric sciences 66 (7), 2125-2133, 2009
252009
Nipype [Software]
KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ...
Zenodo, 2018
212018
Formula translation in Blitz++, NumPy and modern Fortran: A case study of the language choice tradeoffs
S Arabas, D Jarecka, A Jaruga, M Fijałkowski
Scientific Programming 22 (3), 201-222, 2014
192014
nipy/nipype: 1.1. 9
KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, D Jarecka, ...
Computer software]. Zenodo, 2019
152019
nipy/nipype: 1.8. 3
O Esteban, CJ Markiewicz, C Burns, M Goncalves, D Jarecka, E Ziegler, ...
Published online July 14, 2022
132022
libmpdata++ 1.0: a library of parallel MPDATA solvers for systems of generalised transport equations, Geosci. Model Dev., 8, 1005–1032, doi: 10.5194
A Jaruga, S Arabas, D Jarecka, H Pawlowska, PK Smolarkiewicz, ...
gmd-8-1005-2015, 2015
112015
nipy/nipype: 1.2. 0
KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, D Jarecka, ...
Zenodo, 2019
92019
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13. 1. Zenodo
KJ Gorgolewski, O Esteban, DG Ellis, MP Notter, E Ziegler, H Johnson, ...
92017
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