I agree that this site is using cookies. You can find further informations here.
X
URycki, Dawn R.
23  results:
Search for persons X
?
1

A new flow path: eDNA connecting hydrology and biology:

URycki, Dawn R. ; Kirtane, Anish A. ; Aronoff, Rachel...
WIREs Water.  , 2024
Link: https://doi.org/10.1002/..
 
?
2

The streamwater microbiome encodes hydrologic data across s..:

URycki, Dawn R. ; Bassiouni, Maoya ; Good, Stephen P...
Science of The Total Environment.  849 (2022)  - p. 157911 , 2022
Link: https://doi.org/10.1016/..
 
?
3

The Value of L-Band Soil Moisture and Vegetation Optical De..:

Li, Bonan ; Good, Stephen P. ; URycki, Dawn R.
Remote Sensing.  13 (2021)  7 - p. 1343 , 2021
Link: https://doi.org/10.3390/..
 
?
4

River Microbiome Composition Reflects Macroscale Climatic a..:

URycki, Dawn R. ; Good, Stephen P. ; Crump, Byron C...
Frontiers in Water.  2 (2020)  - p. , 2020
Link: https://doi.org/10.3389/..
 
?
5

The streamwater microbiome encodes hydrologic data across s..:

URycki, Dawn R ; Bassiouni, Maoya ; Good, Stephen P..
https://pub.epsilon.slu.se/29372/1/urycky-d-r-et-al-20221026.pdf.  , 2022
Link: https://pub.epsilon.slu...
 
?
6

River Microbiome Composition Reflects Macroscale Climatic a..:

URycki, Dawn R ; Good, Stephen P ; Crump, Byron C..
https://ir.library.oregonstate.edu/concern/articles/xw42ng113.  ,
Link: https://ir.library.orego..
 
?
7

Mutual Information between Streamwater Microbiome and Hydro..:

Dawn R URycki ; Maoya Bassiouni
doi:10.1016/j.scitotenv.2022.157911.  , 2022
Link: https://zenodo.org/recor..
 
?
8

The Value of L-Band Soil Moisture and Vegetation Optical De..:

Bonan Li ; Stephen P. Good ; Dawn R. URycki
Remote Sensing in Agriculture and Vegetation.  , 2021
Link: https://doi.org/10.3390/..
 
?
9

The Value of L-Band Soil Moisture and Vegetation Optical De..:

Bonan Li ; Stephen P. Good ; Dawn R. URycki
https://www.mdpi.com/2072-4292/13/7/1343.  , 2021
Link: https://doi.org/10.3390/..
 
?
10

River Microbiome Composition Reflects Macroscale Climatic a..:

Dawn R. URycki ; Stephen P. Good ; Byron C. Crump..
https://www.frontiersin.org/articles/10.3389/frwa.2020.574728/full.  , 2020
Link: https://doi.org/10.3389/..
 
?
11

Image_5_River Microbiome Composition Reflects Macroscale Cl..:

Dawn R. URycki ; Stephen P. Good ; Byron C. Crump..
doi:10.3389/frwa.2020.574728.s005.  , 2020
Link: https://doi.org/10.3389/..
 
?
12

Table_1_River Microbiome Composition Reflects Macroscale Cl..:

Dawn R. URycki ; Stephen P. Good ; Byron C. Crump..
doi:10.3389/frwa.2020.574728.s006.  , 2020
Link: https://doi.org/10.3389/..
 
?
13

Image_1_River Microbiome Composition Reflects Macroscale Cl..:

Dawn R. URycki ; Stephen P. Good ; Byron C. Crump..
doi:10.3389/frwa.2020.574728.s001.  , 2020
Link: https://doi.org/10.3389/..
 
?
14

Image_3_River Microbiome Composition Reflects Macroscale Cl..:

Dawn R. URycki ; Stephen P. Good ; Byron C. Crump..
doi:10.3389/frwa.2020.574728.s003.  , 2020
Link: https://doi.org/10.3389/..
 
?
15

Table_2_River Microbiome Composition Reflects Macroscale Cl..:

Dawn R. URycki ; Stephen P. Good ; Byron C. Crump..
doi:10.3389/frwa.2020.574728.s007.  , 2020
Link: https://doi.org/10.3389/..
 
1-15