Research Data Leeds Repository

A

Aramendia, Emmanuel (2023) Dataset associated with "Exploring the useful energy implications of the global energy transition: a net energy perspective". University of Leeds. [Dataset] https://doi.org/10.5518/1322

Aramendia, Emmanuel and Brockway, Paul E. and Taylor, Peter G. and Norman, Jonathan B. (2023) Dataset associated with "Global energy consumption of the mineral mining industry: exploring the historical perspective and future pathways to 2060". University of Leeds. [Dataset] https://doi.org/10.5518/1420

B

Barr, Sarah L. and Wyld, Bethany V. and McQuaid, James B. and Neely III, Ryan R. and Murray, Benjamin J. (2023) Data for 'Southern Alaska as a source of atmospheric mineral dust and ice-nucleating particles'. University of Leeds. [Dataset] https://doi.org/10.5518/1342

Butt, Edward (2023) Amazon deforestation causes strong regional warming. University of Leeds. [Dataset] https://doi.org/10.5518/1325

Büchs, Milena and Ivanova, Diana (2023) Matlab code: Exiobase data extraction; Stata code: equitable energy demand reduction analysis. University of Leeds. [Dataset] https://doi.org/10.5518/1352

C

Chappell, Helen and Noble, Isaac and Heyam, Alex and Smith, James (2023) Gallium exchange in Fe-PQS complexes. University of Leeds. [Dataset] https://doi.org/10.5518/1447

D

Daily, Martin I. and Whale, Thomas F. and Kilbride, Peter and Lamb, Stephen and Picton, Helen M. (2023) Dataset for 'A highly active mineral-based ice nucleating agent supports in situ cell cryopreservation in a high throughput format'. University of Leeds. [Dataset] https://doi.org/10.5518/1288

J

James, Alexander D. and Pace, Finn and Sikora, Sebastien N. F. and Mann, Graham W. and Plane, John M. C. and Murray, Benjamin J. (2023) Data relating to "The importance of acid processed meteoric smoke relative to meteoric fragments for crystal nucleation in polar stratospheric clouds". Atmospheric Chemistry and Physics Discussions. [Dataset] https://doi.org/10.5518/1214

K

Kilian, Lena and Owen, Anne and Newing, Andy and Ivanova, Diana (2023) Research Data: Achieving Emission Reductions without Furthering Social Inequality. University of Leeds. [Dataset] https://doi.org/10.5518/1414

M

Murray, Benjamin J. and Plane, John M. C. and Mangan, Thomas P. and Määttänen, Anni (2023) Data to support 'Ephemeral Ice Clouds in the Upper Mesosphere of Venus'. University of Leeds. [Dataset] https://doi.org/10.5518/1375

N

Na, Yan (2023) DASH_v1.0 source code. University of Leeds. [Dataset] https://doi.org/10.5518/1448

Norman, James and Maycock, Amanda C. and Troccoli, Alberto and Suraje, Dessai (2023) Dataset of Indian wind farms and synthetic wind generation timeseries per Indian state. University of Leeds. [Dataset] https://doi.org/10.5518/1418

O

Osman, Sara (2023) Fail Fraction: ArcGIS Pro and QGIS tools to calculate the probability of roof collapse under tephra fall loading. University of Leeds. [Dataset] https://doi.org/10.5518/1458

P

Peakall, Jeffrey and Azpiroz-Zabala, Maria (2023) Submarine channels and biology. University of Leeds. [Dataset] https://doi.org/10.5518/1357

Pollard, Oliver G. and Barlow, Natasha L. M. and Gregoire, Lauren and Gomez, Natalya and Cartelle, Victor and Ely, Jeremy C. and Astfalck, Lachlan C. (2023) Dataset from: Quantifying the Uncertainty in the Eurasian Ice-Sheet Geometry at the Penultimate Glacial Maximum (Marine Isotope Stage 6). University of Leeds. [Dataset] https://doi.org/10.5518/1287