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  "author": "Susan Bell",
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  "author": "Susan Bell",
            
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  "author_email": "sbell@usf.edu",
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      "key": "DOI",
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      "key": "DOI",
            
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      "value": "doi:10.7266/N7765CFX"
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      "key": "ISO.principalInvestigator",
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      "key": "ISO.principalInvestigator",
            
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      "value": "Susan Bell <sbell@usf.edu>"
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      "value": "Susan Bell <sbell@usf.edu>"
            
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      "key": "Place Keywords",
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      "key": "Place Keywords",
            
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      "value": "Tampa, Fort De Soto, War Memorial Park"
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      "value": "Tampa, Fort De Soto, War Memorial Park"
            
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    {
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      "key": "Temporal Begin",
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      "key": "Temporal Begin",
            
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      "value": "2015-07-27"
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      "value": "2015-07-27"
            
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      "key": "Temporal End",
            
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      "value": "2015-07-29"
            
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    },
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    {
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      "key": "Theme Keywords",
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      "key": "Theme Keywords",
            
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      "value": "seagrass, infauna, macroinfauna"
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      "value": "seagrass, infauna, macroinfauna"
            
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  "name": 
            
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nfaunal-abundance-in-shallow-water-habitats-around-tampa-bay-in-2015",
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nfaunal-abundance-in-shallow-water-habitats-around-tampa-bay-in-2015",
            
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  "notes": "### Abstract\nAbundances of benthic macroinfauna were 
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  "notes": "### Abstract\nAbundances of benthic macroinfauna were 
            
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measured in conjunction with field-deployed sediment oxygen demand 
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measured in conjunction with field-deployed sediment oxygen demand 
            
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chambers at two sites around Tampa Bay, Florida, in the summer of 
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chambers at two sites around Tampa Bay, Florida, in the summer of 
            
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2015. Cores (15 cm diameter, 15 cm depth) were collected after each 
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2015. Cores (15 cm diameter, 15 cm depth) were collected after each 
            
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sediment oxygen demand measurement was completed in the field, and 
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sediment oxygen demand measurement was completed in the field, and 
            
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additional cores were collected for infauna only (with no SOD 
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additional cores were collected for infauna only (with no SOD 
            
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measurement). Each sediment core was sieved using 0.5 mm mesh. Each 
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measurement). Each sediment core was sieved using 0.5 mm mesh. Each 
            
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sample was preserved in 95% ethanol and Rose Bengal stain. All 
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sample was preserved in 95% ethanol and Rose Bengal stain. All 
            
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organisms that were alive upon collection and therefore stained were 
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organisms that were alive upon collection and therefore stained were 
            
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picked out using a dissecting microscope, and placed into separate 
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picked out using a dissecting microscope, and placed into separate 
            
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vials with 95% ethanol for preservation. Animals were identified to 
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vials with 95% ethanol for preservation. Animals were identified to 
            
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lowest taxonomic classification possible, and the abundance of each 
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lowest taxonomic classification possible, and the abundance of each 
            
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taxon was determined. Abundances are presented as individuals per 
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taxon was determined. Abundances are presented as individuals per 
            
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square meter. These data are associated with the dataset: Sediment 
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square meter. These data are associated with the dataset: Sediment 
            
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oxygen demand in shallow water habitats around Tampa Bay in 2015 and 
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oxygen demand in shallow water habitats around Tampa Bay in 2015 and 
            
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2016 (GRIIDC dataset R4.x262.000:0009).\n\n### Purpose\nInfaunal 
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2016 (GRIIDC dataset R4.x262.000:0009).\n\n### Purpose\nInfaunal 
            
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samples were collected from unoiled reference sites in seagrass 
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samples were collected from unoiled reference sites in seagrass 
            
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(Halodule and Thalassia) and open, unvegetated sediment habitats to 
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(Halodule and Thalassia) and open, unvegetated sediment habitats to 
            
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investigate infaunal community structure. The goal was to compare 
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investigate infaunal community structure. The goal was to compare 
            
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these communities with those that were impacted by oil exposure during 
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these communities with those that were impacted by oil exposure during 
            
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the Deepwater Horizon spill sites in the Chandeleur Islands, northern 
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the Deepwater Horizon spill sites in the Chandeleur Islands, northern 
            
69
Gulf of Mexico. Metrics of diversity and NMDS analysis were conducted 
69
Gulf of Mexico. Metrics of diversity and NMDS analysis were conducted 
            
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to determine whether communities differed significantly between sites 
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to determine whether communities differed significantly between sites 
            
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as well as among habitats. These data were collected as part of the 
71
as well as among habitats. These data were collected as part of the 
            
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ACER consortium.\n\n**DOI: 
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ACER consortium.\n\n**DOI: 
            
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[doi:10.7266/N7765CFX](https://www.doi.org/10.7266/N7765CFX)**\n\n### 
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[doi:10.7266/N7765CFX](https://www.doi.org/10.7266/N7765CFX)**\n\n### 
            
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Suggested Citation\nSusan Bell. 2017. Macroinfaunal abundance in 
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Suggested Citation\nSusan Bell. 2017. Macroinfaunal abundance in 
            
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shallow water habitats around Tampa Bay in 2015. Distributed by: Gulf 
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shallow water habitats around Tampa Bay in 2015. Distributed by: Gulf 
            
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of Mexico Research Initiative Information and Data Cooperative 
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of Mexico Research Initiative Information and Data Cooperative 
            
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(GRIIDC), Harte Research Institute, Texas A&M University\u2013Corpus 
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(GRIIDC), Harte Research Institute, Texas A&M University\u2013Corpus 
            
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Christi. doi:10.7266/N7765CFX\n\n**Funded by:** Gulf of Mexico 
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Christi. doi:10.7266/N7765CFX\n\n**Funded by:** Gulf of Mexico 
            
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Research Initiative (GoMRI)\n\n**Funding cycle:** RFP-IV\n\n**Research 
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Research Initiative (GoMRI)\n\n**Funding cycle:** RFP-IV\n\n**Research 
            
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group:** Alabama Center for Ecological Resilience (ACER)\n\n",
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group:** Alabama Center for Ecological Resilience (ACER)\n\n",
            
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      "display_name": "Fort De Soto",
183
      "display_name": "Fort De Soto",
            
177
      "id": "c6d9a26f-1521-4b0a-a98e-c982a4494785",
184
      "id": "c6d9a26f-1521-4b0a-a98e-c982a4494785",
            
178
      "name": "Fort De Soto",
185
      "name": "Fort De Soto",
            
179
      "state": "active",
186
      "state": "active",
            
180
      "vocabulary_id": null
187
      "vocabulary_id": null
            
181
    },
188
    },
            
182
    {
189
    {
            
183
      "display_name": "Tampa",
190
      "display_name": "Tampa",
            
184
      "id": "0552c860-683a-42d5-b457-4b65bf239df1",
191
      "id": "0552c860-683a-42d5-b457-4b65bf239df1",
            
185
      "name": "Tampa",
192
      "name": "Tampa",
            
186
      "state": "active",
193
      "state": "active",
            
187
      "vocabulary_id": null
194
      "vocabulary_id": null
            
188
    },
195
    },
            
189
    {
196
    {
            
190
      "display_name": "War Memorial Park",
197
      "display_name": "War Memorial Park",
            
191
      "id": "5eb6dba9-588e-4843-a91a-95e0086f0a73",
198
      "id": "5eb6dba9-588e-4843-a91a-95e0086f0a73",
            
192
      "name": "War Memorial Park",
199
      "name": "War Memorial Park",
            
193
      "state": "active",
200
      "state": "active",
            
194
      "vocabulary_id": null
201
      "vocabulary_id": null
            
195
    },
202
    },
            
196
    {
203
    {
            
197
      "display_name": "infauna",
204
      "display_name": "infauna",
            
198
      "id": "31fdce84-372e-4cba-a1f4-c8afa5ef5bc0",
205
      "id": "31fdce84-372e-4cba-a1f4-c8afa5ef5bc0",
            
199
      "name": "infauna",
206
      "name": "infauna",
            
200
      "state": "active",
207
      "state": "active",
            
201
      "vocabulary_id": null
208
      "vocabulary_id": null
            
202
    },
209
    },
            
203
    {
210
    {
            
204
      "display_name": "macroinfauna",
211
      "display_name": "macroinfauna",
            
205
      "id": "0de88826-2f06-4ea1-945d-88bc68dc3ef2",
212
      "id": "0de88826-2f06-4ea1-945d-88bc68dc3ef2",
            
206
      "name": "macroinfauna",
213
      "name": "macroinfauna",
            
207
      "state": "active",
214
      "state": "active",
            
208
      "vocabulary_id": null
215
      "vocabulary_id": null
            
209
    },
216
    },
            
210
    {
217
    {
            
211
      "display_name": "seagrass",
218
      "display_name": "seagrass",
            
212
      "id": "5824ced6-3e9f-41c8-abac-b98bcff0e203",
219
      "id": "5824ced6-3e9f-41c8-abac-b98bcff0e203",
            
213
      "name": "seagrass",
220
      "name": "seagrass",
            
214
      "state": "active",
221
      "state": "active",
            
215
      "vocabulary_id": null
222
      "vocabulary_id": null
            
216
    }
223
    }
            
217
  ],
224
  ],
            
218
  "title": "Macroinfaunal abundance in shallow water habitats around 
225
  "title": "Macroinfaunal abundance in shallow water habitats around 
            
219
Tampa Bay in 2015",
226
Tampa Bay in 2015",
            
220
  "type": "dataset",
227
  "type": "dataset",
            
221
  "url": null,
228
  "url": null,
            
222
  "version": null
229
  "version": null
            
223
}
230
}