OmicsDI
Toggle navigation
Browse
Submit Data
Databases
API
Advanced
Search
8
Results
Show all
Save search
Copy query
Show results for
Unknown
(8)
Publication Date
Release Date
2016
(2)
2023
(1)
2022
(1)
2021
(1)
2020
(1)
2019
(1)
2017
(1)
Previous
page
1 / 1
You're on page
1
Next
page
Sort
by:
Relevance
Page size
10
Real-time automatic detection of starch particles in ambient air.
Not available
S-EPMC9391928
|
biostudies-literature
Cite
Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy.
Not available
S-EPMC9958198
|
biostudies-literature
Cite
Phenolic Composition Influences the Health-Promoting Potential of Bee-Pollen.
Not available
S-EPMC6995608
|
biostudies-literature
Cite
Mesoscale atmospheric transport of ragweed pollen allergens from infected to uninfected areas.
Not available
S-EPMC5050238
|
biostudies-literature
Cite
The long distance transport of airborne Ambrosia pollen to the UK and the Netherlands from Central and south Europe.
Not available
S-EPMC5127884
|
biostudies-literature
Cite
Biological weed control to relieve millions from Ambrosia allergies in Europe.
Not available
S-EPMC7174423
|
biostudies-literature
Cite
Spatial and temporal variations in airborne
Ambrosia
pollen in Europe.
Not available
S-EPMC5432595
|
biostudies-literature
Cite
Higher airborne pollen concentrations correlated with increased SARS-CoV-2 infection rates, as evidenced from 31 countries across the globe.
Not available
S-EPMC7999946
|
biostudies-literature
Cite
Previous
page
1 / 1
You're on page
1
Next
page
Sort
by:
Relevance
Page size
10
OmicsDI
is part of the ELIXIR infrastructure
OmicsDI is an Elixir interoperability service.
Learn more ›
Tweets