Research Data Leeds Repository

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Brown, Gregory and Johnston, Katharine and Hoare, Melvin and Lumsden, Stuart (2016) Connecting low- and high-mass star formation: the intermediate-mass protostar IRAS 05373+2349 VLA 2 - Images. University of Leeds. [Dataset] https://doi.org/10.5518/105

Burge, Christina and Van Loo, Sven and Falle, Samuel and Hartquist, Thomas (2016) Ambipolar-diffusion regulated collapse of filaments. University of Leeds. [Dataset] https://doi.org/10.5518/72

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Goldsmith, Kathryn and Pittard, Julian (2016) Raw data, statistics, and images pertaining to the interaction of a magnetohydrodynamical shock with a filament. University of Leeds. [Dataset] https://doi.org/10.5518/74

Goldsmith, Kathryn and Pittard, Julian (2018) Statistics, images, and other files pertaining to a comparison of shock-cloud and wind-cloud interactions (Paper II). University of Leeds. [Dataset] https://doi.org/10.5518/221

Goldsmith, Kathryn and Pittard, Julian (2017) Statistics, images, and other files pertaining to a comparison of shock-cloud and wind-cloud interactions. University of Leeds. [Dataset] https://doi.org/10.5518/120

Goldsmith, Kathryn and Pittard, Julian (2019) Statistics, images, and other files pertaining to the isothermal evolution of a shock-filament interaction. University of Leeds. [Dataset] https://doi.org/10.5518/573

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Mico, Victoria and Charalambous, Antonia and Peyman, Sally A. and Abou-Saleh, Radwa H. and Markham, Alexander F. and Coletta, P. Louise and Evans, Stephen D. (2017) Dataset for 'Evaluation of Lipid-Stabilised Tripropionin Nanodroplets as a Delivery Route for Combretastatin A4'. University of Leeds. [Dataset] https://doi.org/10.5518/98

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Pittard, Julian (2018) Colliding Stellar Winds Structure and X-ray Emission. University of Leeds. [Dataset] https://doi.org/10.5518/349

Pittard, Julian (2022) Data for the paper "How D-type Hii region expansion depends on numerical resolution". University of Leeds. [Dataset] https://doi.org/10.5518/1087

Pittard, Julian (2019) Dataset associated with "Momentum and energy injection by a supernova remnant into an inhomogeneous medium". University of Leeds. [Dataset] https://doi.org/10.5518/617

Pittard, Julian and Romero, Gustavo E. and Vila, Gabriela S. (2021) Data associated with the paper "Particle acceleration and non-thermal emission in colliding-wind binary systems" to be published in Monthly Notices of the Royal Astronomical Society. University of Leeds. [Dataset] https://doi.org/10.5518/982

Pittard, Julian and Vila, Gabriela S. and Romero, Gustavo E. (2020) Dataset associated with "Colliding-wind binary systems: Diffusive shock acceleration and non-thermal emission". University of Leeds. [Dataset] https://doi.org/10.5518/806

Purser, Simon and Lumsden, Stuart and Hoare, Melvin and Urquhart, James and Cunningham, Nichol and Purcell, Cormac and Brooks, Kate and Garay, Guido and Gúzman, Andres and Voronkov, Maxim (2016) A search for ionized jets towards massive young stellar objects. University of Leeds. [Dataset] https://doi.org/10.5518/79

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Van Loo, Sven (2020) Evolving grain-size distributions - dataset. University of Leeds. [Dataset] https://doi.org/10.5518/751

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Wareing, Christopher J. and Pittard, Julian and Falle, Samuel (2019) Dataset associated with "Sheets, filaments and clumps - high resolution simulations of how the thermal instability can form molecular clouds". University of Leeds. [Dataset] https://doi.org/10.5518/483

Wareing, Christopher J. and Pittard, Julian and Falle, Samuel (2017) Dataset associated with 'Hydrodynamic simulations of mechanical stellar feedback in a molecular cloud formed by thermal instability'. University of Leeds. [Dataset] https://doi.org/10.5518/201

Wareing, Christopher J. and Pittard, Julian and Falle, Samuel (2016) Dataset associated with 'Magnetohydrodynamic simulations of mechanical stellar feedback in a sheet-like molecular cloud'. University of Leeds. [Dataset] https://doi.org/10.5518/114

Wareing, Christopher J. and Pittard, Julian and Wright, Nicholas J. and Falle, Samuel (2018) Dataset associated with 'A new mechanical stellar wind feedback model for the Rosette Nebula'. University of Leeds. [Dataset] https://doi.org/10.5518/311