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  "author": "Patricia Sobecky",
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  "author": "Patricia Sobecky",
            
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  "author_email": "psobecky@ua.edu",
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      "key": "DOI",
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      "key": "DOI",
            
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      "value": "doi:10.7266/N7805123"
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      "value": "doi:10.7266/N7805123"
            
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      "key": "ISO.principalInvestigator",
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      "key": "ISO.principalInvestigator",
            
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      "value": "Patricia Sobecky <psobecky@ua.edu>"
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      "value": "Patricia Sobecky <psobecky@ua.edu>"
            
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      "key": "Theme Keywords",
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      "key": "Theme Keywords",
            
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      "value": "nitrogen cycling, sulfur cycling, microbial diversity, 
16
      "value": "nitrogen cycling, sulfur cycling, microbial diversity, 
            
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oil contamination, biodiversity"
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oil contamination, biodiversity"
            
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  "name": 
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  "name": 
            
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lant-type-on-microbial-biodiversity-and-predicted-metabolic-n7805123",
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lant-type-on-microbial-biodiversity-and-predicted-metabolic-n7805123",
            
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  "notes": "### Abstract\nSediments were collected for a mesocosm 
31
  "notes": "### Abstract\nSediments were collected for a mesocosm 
            
32
project to examine the overall response of microbial diversity to oil 
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project to examine the overall response of microbial diversity to oil 
            
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exposure, plant type, and also to characterize bacterial communities 
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exposure, plant type, and also to characterize bacterial communities 
            
34
associated nitrogen and sulfur cycling processes in marine sediments. 
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associated nitrogen and sulfur cycling processes in marine sediments. 
            
35
Sediments samples were collected from control and amended mesocosms 
35
Sediments samples were collected from control and amended mesocosms 
            
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set up at Dauphin Island Sea Lab that consisted of the black mangrove, 
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set up at Dauphin Island Sea Lab that consisted of the black mangrove, 
            
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Avicennia germinans, along with either a monoculture or polyculture of 
37
Avicennia germinans, along with either a monoculture or polyculture of 
            
38
the smooth cord grass, Spartina alterniflora. Data were collected in 
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the smooth cord grass, Spartina alterniflora. Data were collected in 
            
39
triplicates from control and amended mesocosms at three time points, 
39
triplicates from control and amended mesocosms at three time points, 
            
40
before treatment in September 2015, 6 months after treatment in April 
40
before treatment in September 2015, 6 months after treatment in April 
            
41
2016, and 11 months after treatment in September 2016. Additional data 
41
2016, and 11 months after treatment in September 2016. Additional data 
            
42
from this mesocosm study can be found in GRIIDC datasets 
42
from this mesocosm study can be found in GRIIDC datasets 
            
43
R4.x262.000:0026 and R4.x262.000:0034.\n\n### Purpose\nThe data post 
43
R4.x262.000:0026 and R4.x262.000:0034.\n\n### Purpose\nThe data post 
            
44
analyses would offer a comprehensive view of the bacterial diversity 
44
analyses would offer a comprehensive view of the bacterial diversity 
            
45
with the mesocosm sediments and the ability to track any changes in 
45
with the mesocosm sediments and the ability to track any changes in 
            
46
bacterial community composition associated with treatment, time and 
46
bacterial community composition associated with treatment, time and 
            
47
plant type.\n\n**DOI: 
47
plant type.\n\n**DOI: 
            
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[doi:10.7266/N7805123](https://www.doi.org/10.7266/N7805123)**\n\n### 
48
[doi:10.7266/N7805123](https://www.doi.org/10.7266/N7805123)**\n\n### 
            
49
Suggested Citation\nSuja Rajan, Patrice Crawford, Alice Kleinhuizen, 
49
Suggested Citation\nSuja Rajan, Patrice Crawford, Alice Kleinhuizen, 
            
50
Behzad Mortazavi and Patricia Sobecky. 2018. Temporal effects of 
50
Behzad Mortazavi and Patricia Sobecky. 2018. Temporal effects of 
            
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oiling and plant type on microbial biodiversity and predicted 
51
oiling and plant type on microbial biodiversity and predicted 
            
52
metabolic function in marine sediments: A mesocosm study in 
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metabolic function in marine sediments: A mesocosm study in 
            
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April/September 2016. Distributed by: Gulf of Mexico Research 
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April/September 2016. Distributed by: Gulf of Mexico Research 
            
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Initiative Information and Data Cooperative (GRIIDC), Harte Research 
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Initiative Information and Data Cooperative (GRIIDC), Harte Research 
            
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Institute, Texas A&M University\u2013Corpus Christi. 
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Institute, Texas A&M University\u2013Corpus Christi. 
            
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doi:10.7266/N7805123\n\n**Funded by:** Gulf of Mexico Research 
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doi:10.7266/N7805123\n\n**Funded by:** Gulf of Mexico Research 
            
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Initiative (GoMRI)\n\n**Funding cycle:** RFP-IV\n\n**Research group:** 
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Initiative (GoMRI)\n\n**Funding cycle:** RFP-IV\n\n**Research group:** 
            
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Alabama Center for Ecological Resilience (ACER)\n\n",
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Alabama Center for Ecological Resilience (ACER)\n\n",
            
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  "title": "Temporal effects of oiling and plant type on microbial 
189
  "title": "Temporal effects of oiling and plant type on microbial 
            
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biodiversity and predicted metabolic function in marine sediments: A 
190
biodiversity and predicted metabolic function in marine sediments: A 
            
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mesocosm study in April/September 2016",
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mesocosm study in April/September 2016",
            
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  "type": "dataset",
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