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Data from: Patterns and processes of dispersal behaviour in arvicoline rodents
Le Galliard, J. (Creator), Remy, A. (Creator), Ims, R. A. (Creator) & Lambin, X. (Creator), Dryad Digital Repository, 28 Nov 2011
Dataset
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Fishing for mammals: landscape-level monitoring of terrestrial and semi-aquatic communities using eDNA from lotic ecosystems
Sales, N. (Creator), McKenzie, M. B. (Creator), Drake, J. (Creator), Harper, L. (Creator), Browett, S. (Creator), Coscia, I. (Creator), Wangensteen, O. S. (Creator), Baillie, C. (Creator), Bryce, E. (Creator), Dawson, D. A. (Creator), Ochu, E. (Creator), Hänfling, B. (Creator), Lawson-Handley, L. (Creator), Mariani, S. (Creator), Lambin, X. (Creator), Suterland, C. (Creator) & McDevitt, A. (Creator), Dryad Digital Repository, 5 Feb 2020
Dataset
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Genome-wide association and genome partitioning reveal novel genomic regions underlying variation in gastrointestinal nematode burden in a wild bird
Wenzel, M. A. (Contributor), James, M. C. (Contributor), Piertney, S. (Contributor) & Douglas, A. (Contributor), DRYAD, 1 Jan 2015
DOI: 10.5061/dryad.02pr5, http://datadryad.org/stash/dataset/doi:10.5061/dryad.02pr5
Dataset
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Data tables for carbon in global Palaeoproterozoic black shales
Parnell, J. (Contributor) & Brolly, C. (Contributor), Natural Environment Research Council, 1 Jan 2021
DOI: 10.5285/d10a1c96-55ff-4a35-be6b-92a4eb766b38, https://www2.bgs.ac.uk/nationalgeosciencedatacentre/citedData/catalogue/d10a1c96-55ff-4a35-be6b-92a4eb766b38.html
Dataset
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Data from Environmental and genetic influences on body mass and resting metabolic rates (RMR) in a natural population of weasel Mustela nivalis
Zub, K. (Creator), Piertney, S. (Creator), Szafranska, P. A. (Creator) & Konarzewski, M. (Creator), Dryad Digital Repository, 12 Dec 2011
Dataset
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Estimating demographic contributions to effective population size in an age-structured wild population experiencing environmental and demographic stochasticity
Trask, A. E. (Contributor), Bignal, E. M. (Contributor), McCracken, D. I. (Contributor), Piertney, S. (Contributor) & Reid, J. (Contributor), DRYAD, 1 Jan 2018
DOI: 10.5061/dryad.68kk0, http://datadryad.org/stash/dataset/doi:10.5061/dryad.68kk0
Dataset
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Data from: Harvested populations are more variable only in more variable environments
Cameron, T. C. (Creator), O'Sullivan, D. (Creator), Reynolds, A. (Creator), Hicks, J. P. (Creator), Piertney, S. (Creator) & Benton, T. G. (Creator), Dryad Digital Repository, 23 Mar 2017
DOI: 10.5061/dryad.bq135
Dataset
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Extensive local gene duplication and functional divergence among paralogs in Atlantic salmon
Martin, S. (Creator), Dryad Digital Repository, 27 Jun 2014
DOI: 10.5061/dryad.h02b3, http://datadryad.org/resource/doi:10.5061/dryad.h02b3
Dataset
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Transcriptional reprogramming underpins enhanced plant growth promotion by the biocontrol fungus Trichoderma hamatum GD12 during antagonistic interactions with Sclerotinia sclerotiorum in soil
Shaw, S. (Creator), Le Cocq, K. (Creator), Paszkiewicz, K. (Creator), Moore, K. (Creator), Winsbury, R. (Creator), Salmon, D. (Creator), Thornton, C. R. (Creator), Grant, M. (Creator), Studholme, D. J. (Creator), de, T. Z. M. (Creator) & Bhattacharya, S. (Other), GEO, 16 Jun 2016
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE67909 and 52 more links, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657797, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657798, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657799, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657800, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657801, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657802, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657803, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657804, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657805, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657806, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657807, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657808, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657809, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657810, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657811, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657812, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657813, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657814, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657815, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657816, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657817, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657818, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657819, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657820, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657821, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657822, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657823, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657824, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657825, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657826, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657827, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657828, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657829, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657830, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657831, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657832, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657833, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657834, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657835, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657836, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657837, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657838, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657839, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657840, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657841, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657842, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657843, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657844, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657845, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657846, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657847, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1657848 (show fewer)
Dataset
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Data from: How many faces do people know?
Jenkins, R. (Creator), Dowsett, A. J. (Creator), Burton, M. A. (Creator) & Sahraie, A. (Other), Dryad Digital Repository, 19 Sep 2018
Dataset
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Behavioural optimisation to address trial conduct challenges: case study in the UK-REBOA trial
Lawrie, L. (Contributor), Duncan, E. (Contributor), Jansen, J. O. (Contributor), Campbell, M. K. (Contributor), Brunsdon, D. (Contributor), Skea, Z. (Contributor), Coffey, T. (Contributor), Cochran, C. (Contributor) & Gillies, K. (Contributor), figshare Academic Research System, 1 Jan 2022
DOI: 10.6084/m9.figshare.c.5993933.v1, https://springernature.figshare.com/collections/Behavioural_optimisation_to_address_trial_conduct_challenges_case_study_in_the_UK-REBOA_trial/5993933/1
Dataset
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How much is the lack of retention evidence costing trial teams in Ireland and the UK?
Murphy, E. (Creator), Shiely, F. (Creator) & Treweek, S. (Creator), Figshare, 2022
DOI: 10.6084/m9.figshare.c.5993904.v1, https://springernature.figshare.com/collections/How_much_is_the_lack_of_retention_evidence_costing_trial_teams_in_Ireland_and_the_UK_/5993904/1
Dataset
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Children of the 1950's study: Aberdeen birth cohort
Black, C. (Owner), Hannaford, P. (Owner) & Clark, H. (Data Manager), University of Aberdeen, 2004
https://www.abdn.ac.uk/birth-cohorts/1950s/ and one more link, https://www.abdn.ac.uk/birth-cohorts/1950s/for-researchers/data-access/ (show fewer)
Dataset
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How many faces do people know?
Jenkins, R. (Contributor), Dowsett, A. J. (Contributor), Burton, A. M. (Contributor) & Sahraie, A. (Other), DRYAD, 1 Jan 2018
DOI: 10.5061/dryad.7f25j43, http://datadryad.org/stash/dataset/doi:10.5061/dryad.7f25j43
Dataset
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Learning outcomes, learning support and cohort cohesion on a virtual field trip: an analysis of student and staff perceptions
Bond, C. (Creator), University of Aberdeen, 18 Jul 2022
DOI: 10.20392/89c5596a-7d0b-44fa-bd1a-f40b18f45b94
Dataset
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Last step' enzymatic [18F]-labelling of peptides for Positron Emission Tomography (PET)
Dall'Angelo, S. (Creator) & Zanda, M. (Creator), University of Aberdeen, 1 Mar 2016
DOI: 10.20392/2d6302d1-21c1-4ff6-a0f4-9fd3693be1f2
Dataset
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Rounding, but not randomization method, non-normality, or correlation, affected baseline P-value distributions in randomized trials
Bolland, M. J. (Creator), Gamble, G. D. (Creator) & Avenell, A. (Creator), Elsevier, 8 Mar 2019
DOI: 10.1016/j.jclinepi.2019.03.001
Dataset
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Data from: High flight costs, but low dive costs, in auks support the biomechanical hypothesis for flightlessness in penguins
Elliott, K. H. (Creator), Ricklelfs, R. E. (Creator), Gaston, A. J. (Creator), Hatch, S. A. (Creator), Speakman, J. (Creator) & Davoren, G. K. (Creator), Dryad Digital Repository, 22 May 2013
DOI: 10.5061/dryad.23td2
Dataset
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GSE62993: Expression data of MYB36 mutants
Salt, D. E. (Creator), Kamiya, T. (Creator) & Paton, G. (Data Manager), GEO, 5 Nov 2014
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62993 and 9 more links, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1537797, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1537798, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1537793, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1537799, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1537796, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1537795, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1537794, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1537791, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM1537792 (show fewer)
Dataset
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GSE10857: Gene expression of rice root tips before, at and buckled by a hard layer in two rice varieties.
Norton, G. (Creator) & Price, A. (Creator), GEO, 19 Mar 2008
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE10857 and 13 more links, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL2025, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM275405, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM275406, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM275407, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM275408, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM275409, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM275410, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM275411, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM275412, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM275413, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM275414, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM275415, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM275416 (show fewer)
Dataset
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Data from: Accelerometry predicts daily energy expenditure in a bird with high activity levels
Elliott, K. H. (Creator), Le Vaillant, M. (Creator), Kato, A. (Creator), Ropert-Coudert, Y. (Creator) & Speakman, J. (Creator), Dryad Digital Repository, 22 Apr 2013
DOI: 10.5061/dryad.40gk7
Dataset
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Data from: Body macronutrient composition is predicted by lipid and not protein content of the diet
Moatt, J. P. (Creator), Hambly, C. (Creator), Heap, E. (Creator), Kramer, A. (Creator), Moon, F. (Creator), Speakman, J. (Creator) & Walling, C. A. (Creator), Dryad Digital Repository, 29 Sep 2018
DOI: 10.5061/dryad.k3rv4
Dataset
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Data from Daily energy expenditure during lactation is strongly selected in a free-living mammal
Fletcher, Q. E. (Creator), Speakman, J. (Creator), Boutin, S. (Creator), Lane, J. E. (Creator), McAdam, A. G. (Creator), Gorrell, J. C. (Creator), Coltman, D. W. (Creator) & Humphries, M. M. (Creator), Dryad Digital Repository, 13 Jun 2015
DOI: 10.5061/dryad.635md
Dataset