Results 131 to 140 of about 1,502 (153)

Lunar cycle and moonlight intensity influence nocturnal migration patterns in a small songbird. [PDF]

Sci Rep
Prinz D, Heim RJ, Meinken M, Niemann N, Temme L, Esther A, Heim W.   +6 more
europepmc   +1 more source

Cloud detection sample generation algorithm for nighttime satellite imagery based on daytime data and machine learning application. [PDF]

Sci Rep
Shi X, Fan Y, Sun L, Liu X, Liu C, Pang S.   +5 more
europepmc   +1 more source

False positives in gravitational wave campaigns: the electromagnetic perspective. [PDF]

Philos Trans A Math Phys Eng Sci
Oates S.
europepmc   +1 more source

Adaptive Atmospheric Light Estimation for Dehazing via a Novel Decoupled Scattering Model with Neutral-Pixel and Visual-Depth Priors. [PDF]

J Imaging
Zhu Z, Zhang X.
europepmc   +1 more source

Bogong moths navigate using a light-dependent geomagnetic inclination compass

Warrant E, Chen H, Rosberg L, Dreyer D, Leberecht B, Mouritsen H, Fleischmann P.   +6 more
europepmc   +1 more source

The Insect Eye: From Foundational Biology to Modern Applications in Pest Management. [PDF]

Insects
Varone M, Di Lillo P, Lucibelli F, Volpe G, Carfora A, Mazzucchiello SM, Aceto S, Saccone G, Salvemini M.   +8 more
europepmc   +1 more source

National Park visitors perceive benefits for themselves and wildlife under blended red-white outdoor lighting. [PDF]

Sci Rep
Fristrup K, Miller ZD, Newton J, Buckley S, Cole H, Linares C, Donners M, Taff BD, Beeco JA, Barber J, Newman P.   +10 more
europepmc   +1 more source

Blended-red lighting partially mitigates the cost of light pollution for arthropods. [PDF]

Oecologia
Corsini M, Cole HJ, Gomes DGE, Fristrup KM, Barber JR.   +4 more
europepmc   +1 more source

Nocturnal camouflage through background matching against moonlight. [PDF]

Proc Natl Acad Sci U S A
Negro JJ, Bará S, Galadí-Enríquez D, Nieves JL, Martínez-Domingo MA, Ferrero A, Campos J, Bao-Varela C, Masana E, Camacho C.   +9 more
europepmc   +1 more source

Textual interpretation of transient image classifications from large language models. [PDF]

Nat Astron
Stoppa F, Bulmus T, Bloemen S, Smartt SJ, Groot PJ, Vreeswijk P, Smith KW.   +6 more
europepmc   +1 more source