Results 181 to 190 of about 159,235 (357)
THE SOIL ALGAE OF CIBODAS FOREST RESERVE
Three species of green algae and one blue-green alga were recorded from eight samples of soil found associated with bryophytes in the Cibodas Forest Reserve.
Anne Johnson
doaj
Hepatopathy following consumption of a commercially available blue-green algae dietary supplement in a dog. [PDF]
Bautista AC +5 more
europepmc +1 more source
ABSTRACT Marine fossil records hold outstanding importance for ecological, evolutionary and biogeographical studies. Santa Maria Island in the Azores Archipelago (central Atlantic) features a remarkable marine fossil record spanning from the Pliocene to recent times.
Sérgio P. Ávila +16 more
wiley +1 more source
Screening Blue-Green Algae Types Tolerant of Daphnids in Paddy Fields
S. Srinivasan
openalex +1 more source
Abstract BACKGROUND Microgreens have emerged as a promising crop in vertical farming due to their high nutritional value and short growth cycles. Light spectrum and intensity are critical factors influencing biomass production and metabolic activity in plants, particularly in controlled environments such as vertical farming systems. This study aimed to
Cristian Hernández‐Adasme +6 more
wiley +1 more source
High-performance chitosan/blue-green algae (Cyanobacteria) nanocomposite for rapid and optimized removal of organic pollutant from wastewater. [PDF]
Alprol AE +5 more
europepmc +1 more source
An Enzymatic Conversion of Lipoxygenase Products by a Hydroperoxide Lyase in Blue-Green Algae (Oscillatoria sp.) [PDF]
Rivo-Hery Andrianarison +2 more
openalex +1 more source
Glutamate Synthase in Blue-Green Algae
Lea, P. J., Miflin, B. J.
openaire +2 more sources
A prototype submersible sheathless flow cytometer designed for autonomous platforms
Abstract Development of submersible flow cytometers has allowed for continuous, in situ measurements of natural assemblages of phytoplankton cells. Here we introduce DeepCyte, a sensitive prototype submersible flow cytometer developed for deployment on autonomous platforms.
J. E. Swalwell, K. Cain, E. V. Armbrust
wiley +1 more source
Abstract Machine learning has opened the door for the automated sorting (classification) of images, holograms and acoustic backscatters of individual plankton, invertebrates, fish and marine mammals. However, this field is complicated by decades of paradoxically promising reports of classifier performance that do not correlate with real‐world uptake of
Bianca M. Owen +5 more
wiley +1 more source

