2,547 Works

A large-scale assessment of plant dispersal mode and seed traits across human-modified Amazonian forests

Joseph Hawes, Ima Vieira, Luiz Magnago, Erika Berenguer, Joice Ferreira, Luiz Aragão, Amanda Cardoso, Alexander Lees, Gareth Lennox, Joseph Tobias, Anthony Waldron & Jos Barlow
1. Quantifying the impact of habitat disturbance on ecosystem function is critical for understanding and predicting the future of tropical forests. Many studies have examined post-disturbance changes in animal traits related to mutualistic interactions with plants, but the effect of disturbance on plant traits in diverse forests has received much less attention. 2. Focusing on two study regions in the eastern Brazilian Amazon, we used a trait-based approach to examine how seed dispersal functionality within...

Data from: Sleep, major depressive disorder and Alzheimer’s disease: a Mendelian randomisation study

Jian Huang, Verena Zuber, Paul Matthews, Paul Elliott, Joanna Tzoulaki & Abbas Dehghan
Objective To explore the causal relationships between sleep, major depressive disorder (MDD), and Alzheimer’s disease (AD). Methods We conducted bi-directional two-sample Mendelian randomisation analyses. Genetic associations were obtained from the largest genome-wide association studies currently available in UK Biobank (N=446,118), the Psychiatric Genomics Consortium (N=18,759), and the International Genomics of Alzheimer’s Project (N=63,926). We used the inverse variance weighted Mendelian randomisation method to estimate the causal effects, and the weighted median and MR-Egger for sensitivity...

Data from: Adaptive estimation for epidemic renewal and phylogenetic skyline models

Kris Varun Parag & Christl Ann Donnelly
Estimating temporal changes in a target population from phylogenetic or count data is an important problem in ecology and epidemiology. Reliable estimates can provide key insights into the climatic and biological drivers influencing the diversity or structure of that population and evidence hypotheses concerning its future growth or decline. In infectious disease applications, the individuals infected across an epidemic form the target population. The renewal model estimates the effective reproduction number, R, of the epidemic...

Insecticide exposure during brood or early-adult development reduces brain growth and impairs adult learning in bumblebees

Richard Gill, Dylan Bob Smith, Andres Arce, Ana Ramos Rodrigues, Philipp Bischoff, Daisy Burris & Farah Ahmed
For social bees, an understudied step in evaluating pesticide risk is how contaminated food entering colonies affects residing offspring development and maturation. For instance, neurotoxic insecticide compounds in food could affect central nervous system development predisposing individuals to become poorer task performers later-in-life. Studying bumblebee colonies provisioned with neonicotinoid spiked nectar substitute, we measured brain volume and learning behaviour of 3 or 12-day old adults that had experienced in-hive exposure during brood and/or early-stage adult...

Data from: Evolution and epidemic spread of SARS-CoV-2 in Brazil

Darlan S. Candido, Ingra M. Claro, Jaqueline G. De Jesus, William M. Souza, Filipe R. R. Moreira, Simon Dellicour, Thomas A. Mellan, Louis Du Plessis, Rafael H. M. Pereira, Flavia C. S. Sales, Erika R. Manuli, Julien Thézé, Luiz Almeida, Mariane T. Menezes, Carolina M. Voloch, Marcilio J. Fumagalli, Thaís M. Coletti, Camila A. M. Da Silva, Mariana S. Ramundo, Mariene R. Amorim, Henrique H. Hoeltgebaum, Swapnil Mishra, Mandev S. Gill, Luiz M. Carvalho, Lewis F. Buss … & Nuno R. Faria
Brazil currently has one of the fastest growing SARS-CoV-2 epidemics in the world. Owing to limited available data, assessments of the impact of non-pharmaceutical interventions (NPIs) on virus spread remain challenging. Using a mobility-driven transmission model, we show that NPIs reduced the reproduction number from >3 to 1–1.6 in São Paulo and Rio de Janeiro. Sequencing of 427 new genomes and analysis of a geographically representative genomic dataset identified >100 international virus introductions in Brazil....

Conservation genetics of native and European-introduced Chinese Water Deer (Hydropotes inermis)

Vincent Savolainen
The Chinese water deer (Hydropotes inermis) belongs to a relatively early-divergence lineage of Cervidae and is thought to have retained some ancestral features of the group. This species is classified as Vulnerable on the IUCN Red List (accessed 2020), and populations in its native range have declined drastically in recent years. However, a number of individuals were introduced to the UK about a century ago; these have flourished and now make up over 40% of...

Association of insularity to cloacal bacteria prevalence and body condition in a small shorebird

Jose Valdebenito, Josué Martínez-De La Puente, Macarena Castro, Alejandro Pérez-Hurtado, Gustavo Tejera, Tamás Székely, Naerhulan Halimubieke, Julia Schroeder & Jordi Figuerola
Do islands harbour less diverse disease communities than mainland? The island biogeography theory predicts more diverse communities on mainland than on islands due to more niches, more diverse habitats and availability of greater range of hosts. We compared bacteria prevalences of Campylobacter, Chlamydia and Salmonella in cloacal samples of a small shorebird, the Kentish plover (Charadrius alexandrinus) between two island populations of Macaronesia and two mainland locations in the Iberian Peninsula. Bacteria were found in...

The Horizon 2020 Project SURE: Deliverable 7.1 - Report on Water Jet Drilling Modelling

Jiansheng Xiang, Bin Chen, John-Paul Latham & Ado Farsi
The aim of this research is to investigate the failure mechanism for different types of rock in the context of water jet drilling and to predict the jet-ability or assess the radial jet drilling (RJD) performance prior to drilling and at the well petrophysical analysis stage. The main approach is to numerically simulate the water jet drilling for different types of rock using ICL’s in-house fluid-solid coupling codes. The rock properties, CT-scan data and jetting...

Undergraduate synthesis laboratories at Imperial College.

Henry Rzepa
FAIR data archives prepared as part of undergraduate laboratory exercises

(Supplementary Data) Analytical assessment of Kelvin-Helmholtz instability growth at Ganymede’s upstream magnetopause

Nawapat Kaweeyanun
This deposit provides supplementary data used to produce figures in a journal article titled "Analytical assessment of Kelvin-Helmholtz Instability growth at Ganymede’s upstream magnetopause"

The direct and indirect effects of environmental toxicants on the health of bumble bees and their microbiomes

Jason Rothman, Kaleigh Russell, Laura Leger, Quinn McFredderick & Peter Graystock
Bumble bees (Bombus spp.) are important and widespread insect pollinators, but the act of foraging on flowers can expose them to harmful pesticides and chemicals such as oxidizers and heavy metals. How these compounds directly influence bee survival and indirectly affect bee health via the gut microbiome is largely unknown. As toxicants in floral nectar and pollen take many forms, we explored the genomes of bee-associated microbes for their potential to detoxify cadmium, copper, selenate,...

Geomechanical and discrete fracture networks in Thomas et al. 2020, Journal of Geophysical Research: Solid Earth

Robin Thomas & Adriana Paluszny
Data supporting 'Effective permeability tensors of three-dimensional numerically grown geomechanical discrete fracture networks with evolving geometry and mechanical apertures', submitted to the Journal of Geophysical Research: Solid Earth. Authors: Robin N Thomas (corresponding, robin.thomas11@imperial.ac.uk), Adriana Paluszny, Robert W Zimmerman. Department of Earth Science and Engineering, Imperial College London. Contents: For each GDFN, the geometry at each growth step. Additionally, for GDFN E, the data shown in the paper (aperture and flow distributions, figures 6 and...

GADMOO opt I4 unit cell E = -58,068.24116 I-I 3.334 (From Li)

Henry Rzepa
Gaussian Calculation. Starting geometry taken from optimised geometry for Li.

GADMOO, Na => Li, I4 unit (symmetrical) E = -28726.6263128 4 I-I 3.292A

Henry Rzepa
Gaussian Calculatio

I24 PM7 + water, constrained to 74.1

Henry Rzepa
Gaussian Calculation

I24 pbepbe/3-21G + water, constrained to 74.1

Henry Rzepa
Gaussian Calculation

I24 pbepbe/3-21G + water, optimized 84.07, I4...I4 4.76 (74.1 exp) with GD3BJ dispersion included

Henry Rzepa
Gaussian Calculation

Support for the habitat amount hypothesis from a global synthesis of species density studies

James Watling, Víctor Arroyo-Rodríguez, Marion Pfeifer, Lander Baeten, Cristina Banks-Leite, Laura Cisneros, Rebecca Fang, Caroli Hamel-Leigue, Thibault Lachat, Inara Leal, Luc Lens, Hugh Possingham, Dinarzarde Raheem, Danilo Ribeiro, Eleanor Slade, Nicolas Urbina-Cardona, Eric Wood & Lenore Fahrig
Decades of research suggest that species richness depends on spatial characteristics of habitat patches, especially their size and isolation. In contrast, the habitat amount hypothesis predicts that: 1) species richness in plots of fixed size (species density) is more strongly and positively related to the amount of habitat around the plot than to patch size or isolation; 2) habitat amount better predicts species density than patch size and isolation combined, 3) there is no effect...

Can increased integration of spatial analysis improve the understanding of how hospital design may affect healthcare associated infection dynamics and patient safety?

Grahame Davis
Background: Healthcare associated infections (HCAIs) are considered to be the most frequent adverse event that threatens patients’ safety worldwide. A great deal of work has been carried out looking to improve surveillance, control and prevention of HCAIs within the NHS and health systems worldwide. Like in other research settings, an understanding of the localised environment is critical to understand its potential effect on disease dynamics. Numerous techniques, not yet exploited within healthcare settings, have been...

Choreographing a chemical ballet: what happens if you change one of the actors?

Henry Rzepa

CC CCSD(T)/Def2-TZVPP/SCRF=DCM G = -75.799657

Henry Rzepa
Gaussian Calculation

CC CCSD/Def2-TZVPP/SCRF=CPM G = -75.766169

Henry Rzepa
Gaussian Calculation

Understanding the role of obesity and complex metabolic dysregulation in the development of endometrial cancer

Olivia Eva Raglan
A rapidly increasing major public health problem is the continuum of obesity, metabolic disorders and development of cancer. Obesity is associated with an up to 5-fold increase in endometrial cancer. I hypothesised that complex metabolic dysregulation, including insulin resistance and increased local inflammation may contribute to the multi-factorial aetiology of endometrial cancer. This thesis examined the strength and validity of evidence for associations between risk factors and endometrial cancer with an umbrella review of the...

miRNA Data from Johnson et al 2020

James Moore
miRNA data

Report 23: State-level tracking of COVID-19 in the United States

H Unwin, S Mishra, VC Bradley, A Gandy, M Vollmer, T Mellan, H Coupland, K Ainslie, C Whittaker, J Ish-Horowicz, S Filippi, X Xi, M Monod, O Ratmann, M Hutchinson, F Valka, H Zhu, I Hawryluk, P Milton, M Baguelin, A Boonyasiri, N Brazeau, L Cattarino, G Charles, L Cooper … & S Flaxman
our estimates show that the percentage of individuals that have been infected is 4.1% [3.7%-4.5%], with wide variation between states. For all states, even for the worst affected states, we estimate that less than a quarter of the population has been infected; in New York, for example, we estimate that 16.6% [12.8%-21.6%] of individuals have been infected to date. Our attack rates for New York are in line with those from recent serological studies [1]...

Registration Year

  • 2020

Resource Types

  • Text
  • Dataset
  • Collection


  • Imperial College London
  • University of Oxford
  • University of Exeter
  • University of Cambridge
  • University of Southampton
  • University of Leeds
  • University of Birmingham
  • London School of Hygiene & Tropical Medicine
  • Shell (Netherlands)
  • Ghent University