Results 191 to 200 of about 459,701 (339)
Benthic Observation Survey System (BOSS) for surveys of marine benthic habitats
Abstract Most platforms for collecting images to characterise marine benthic habitats involve a downward or forward‐facing field of view that is relatively constrained (~70°), covering a relatively small area of benthos (downward ~1 m2, forward ~25 m2).
Tim Langlois+51 more
wiley +1 more source
Enabling data‐driven collaborative and reproducible environmental synthesis science
Abstract This manuscript shares the lessons learned from providing scientific computing support to over 600 researchers and discipline experts, helping them develop reproducible and scalable analytical workflows to process large amounts of heterogeneous data.
Julien Brun+7 more
wiley +1 more source
Deep learning meets tree phenology modelling: PhenoFormer versus process‐based models
Abstract Predicting phenology, that is the timing of seasonal events of plant life such as leaf emergence and colouration in relation to climate fluctuations, is essential for anticipating future changes in carbon sequestration and tree vitality in temperate forest ecosystems.
Vivien Sainte Fare Garnot+7 more
wiley +1 more source
Abstract As the volume of accessible marine pelagic observations increases exponentially, incorporating diverse data types such as metagenomics and quantitative imaging, the need for standardized modelling frameworks becomes critical to predict biogeographic patterns in space and time and across the diverse range of emergent sampling methods.
Alexandre Schickele+7 more
wiley +1 more source
Transcriptomic analyses reveal an age‐related decline in autophagy pathways in RPE/choroid. These pathways remain unchanged in early AMD but become bidirectionally dysregulated in later stages, along with increased RPE loss. Pre‐treatment with trehalose eyedrops enhances RPE autophagy flux and prevents light‐induced outer retinal degeneration in mice ...
Katherine Cox+13 more
wiley +1 more source
Morphometric values of streamlined subglacial bedforms provide valuable information about the relative speed, direction, and maturity of past ice streams. This paper presents a new tool that utilizes a machine learning approach to automatically identify glacially derived streamlined features.
Ellianna Abrahams+3 more
wiley +1 more source