Microbial assemblages and functional predictions in organic-rich subterranean estuaries

A newer version of this resource http://www.hydroshare.org/resource/b68a07a61a554598b9b0953ee7152bc3 is available that replaces this version.
Authors:
Dini AdyasariNatasha DimovaSinead Ni ChadhainHannelore Waska
Owners: Dini Adyasari
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Type: Resource
Storage: The size of this resource is 11.7 MB
Created: Oct 18, 2023 at 4:53 p.m.
Last updated: Oct 19, 2023 at 6:57 p.m. (Metadata update)
Published date: Oct 19, 2023 at 6:57 p.m.
DOI: 10.4211/hs.977dd5ff16eb4c589783f6fd857897fb
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Sharing Status: Published
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Abstract

Microbial communities in subterranean estuaries (STE) mediate biogeochemical reactions of coastal groundwater discharging into the oceans; however, studies on their response to abrupt environmental changes caused by climate and land use alterations are still limited. In this study, we conducted a controlled laboratory study using combined geochemical and metagenomic approaches to investigate microbial structures and their metabolic pathways under different nitrate (NO3-) inputs, saline solutions, and incubation times. This is a supplementary data to manuscript "Microbial assemblages and functional predictions in organic-rich subterranean estuaries: impact of climate and land use changes" submitted to Journal of Geophysical Research: Biogeosciences.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Mobile Bay
Longitude
-87.8780°
Latitude
30.3906°
Marker
Leaflet Map data © OpenStreetMap contributors

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Related Resources

This resource has been replaced by a newer version Adyasari, D., N. Dimova, S. N. Chadhain, H. Waska (2024). Microbial assemblages and functional predictions in organic-rich subterranean estuaries, HydroShare, http://www.hydroshare.org/resource/b68a07a61a554598b9b0953ee7152bc3

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation NSF EPSCoR RII Track-2 FEC: Emergent Polymer Sensing Technologies for Gulf Coast Water Quality Monitoring
German Research Foundation 446330207, FOR 5094, WA3067/3-1

How to Cite

Adyasari, D., N. Dimova, S. N. Chadhain, H. Waska (2023). Microbial assemblages and functional predictions in organic-rich subterranean estuaries, HydroShare, https://doi.org/10.4211/hs.977dd5ff16eb4c589783f6fd857897fb

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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