1 Here we use 18-year time series of canopy greenness derived f
2 Here we use a high-throughput assay that we term SaMBA (satur
3 Here we use a large data set of water stable isotope ratios (
4 Here we use a mobile robot to search for improved photocataly
5 Here we use a model of auxotrophic Salmonella infection in ge
6 Here we use a mouse model of trauma-induced heterotopic ossif
7 Here we use a random forest to learn a parameterization from
8 Here we use a recently developed trajectory modelling approac
9 Here we use a scenario-driven approach based on a global mult
10 Here we use a sedimentary sequence recovered from the West An
11 Here we use a simple, sorghum system with abundant sampling t
12 Here we use a substantial and diverse set of 3D numerical dyn
13 Here we use an alternative architecture that realizes a giant
14 Here we use an ensemble of land-use and biodiversity models t
15 Here we use an event-related functional MRI (fMRI) task desig
16 Here we use an interdisciplinary approach including isotope-r
17 Here we use analytic theory to explain the phase behavior of
18 Here we use ancestral protein reconstruction and biophysical
19 Here we use Arabidopsis thaliana ecotypes, mutants and transg
20 Here we use behavioural modelling and functional magnetic res
21 Here we use biodegradable polymer scaffolds seeded with autol
22 Here we use field surveys to demonstrate seasonal mismatches
23 Here we use force-profile analysis (FPA) and photo-induced en
24 Here we use inelastic neutron scattering to study magnetic fl
25 Here we use infrared photothermal heterodyne imaging (IR-PHI)
26 Here we use live and fixed cell imaging to uncover the role o
27 Here we use lysine-to-glutamine mutations as acetylmimetics t
28 Here we use metabolic modeling to ask whether acetate and gly
29 Here we use mouse tracking to study model-based learning in s
30 Here we use movement data of mobile phone users to show that
31 Here we use multiple observational platforms and an eddy-reso
32 Here we use National Wetland Inventory data and 5-kilometre g
33 Here we use patch-clamp electrophysiological recordings from
34 Here we use physical and biogeochemical measurements of hundr
35 Here we use satellite remote sensing and maize yield data in
36 Here we use satellite-based rice paddy and XCH(4) data to inv
37 Here we use single cell RNA-seq to show that murine IFE diffe
38 Here we use skin epithelium and skeletal muscle-among the mos
39 Here we use slice physiology and optogenetics to study vHPC-e
40 Here we use state-of-the-art numerical simulations of atmosph
41 Here we use STD-NMR to further explore the different driving
42 Here we use strutural studies and electrophysiology to show t
43 Here we use sucrose gradient fractionation combined with quan
44 Here we use surface force apparatus combined with systematic
45 Here we use TEM to show that ribose-5-phosphate (R5P) glycati
46 Here we use the Galleria mellonella insect virulence model to
47 Here we use the GHGSat-D satellite instrument with 50 m effec
48 Here we use the GyBAR, a backpack-like prototype portable rob
49 Here we use thermogenic adipose tissue from mice as a model s
50 Here we use time-resolved serial femtosecond crystallography(