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On October 10, 2022 at 9:23:23 PM UTC, c17a0114-fe1c-4191-986b-40c4b31b670a:
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Removed the following tags from Macroinfaunal abundance in shallow water habitats around Tampa Bay in 2015
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Changed value of field
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in resource Bell_Abundance_COREIDs_2015.csv in Macroinfaunal abundance in shallow water habitats around Tampa Bay in 2015 -
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of resource Bell_Abundance_COREIDs_2015.csv to2022-10-10 21:15:25.139681
(previously2022-07-27 14:33:15.111344
) in Macroinfaunal abundance in shallow water habitats around Tampa Bay in 2015
f | 1 | { | f | 1 | { |
2 | "author": "Susan Bell", | 2 | "author": "Susan Bell", | ||
3 | "author_email": "sbell@usf.edu", | 3 | "author_email": "sbell@usf.edu", | ||
4 | "creator_user_id": "851c91e4-6343-45af-967a-20a33797707e", | 4 | "creator_user_id": "851c91e4-6343-45af-967a-20a33797707e", | ||
5 | "extras": [ | 5 | "extras": [ | ||
6 | { | 6 | { | ||
7 | "key": "DOI", | 7 | "key": "DOI", | ||
8 | "value": "doi:10.7266/N7765CFX" | 8 | "value": "doi:10.7266/N7765CFX" | ||
9 | }, | 9 | }, | ||
10 | { | 10 | { | ||
11 | "key": "ISO.principalInvestigator", | 11 | "key": "ISO.principalInvestigator", | ||
12 | "value": "Susan Bell <sbell@usf.edu>" | 12 | "value": "Susan Bell <sbell@usf.edu>" | ||
13 | }, | 13 | }, | ||
14 | { | 14 | { | ||
15 | "key": "Place Keywords", | 15 | "key": "Place Keywords", | ||
16 | "value": "Tampa, Fort De Soto, War Memorial Park" | 16 | "value": "Tampa, Fort De Soto, War Memorial Park" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "key": "Temporal Begin", | 19 | "key": "Temporal Begin", | ||
20 | "value": "2015-07-27" | 20 | "value": "2015-07-27" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "key": "Temporal End", | 23 | "key": "Temporal End", | ||
24 | "value": "2015-07-29" | 24 | "value": "2015-07-29" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "key": "Theme Keywords", | 27 | "key": "Theme Keywords", | ||
28 | "value": "seagrass, infauna, macroinfauna" | 28 | "value": "seagrass, infauna, macroinfauna" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "key": "spatial", | 31 | "key": "spatial", | ||
32 | "value": "{ \"type\": \"Polygon\", \"coordinates\": [ [ [ | 32 | "value": "{ \"type\": \"Polygon\", \"coordinates\": [ [ [ | ||
33 | -82.7708, 27.63724 ], [ -82.69817, 27.63724 ], [ -82.69817, 27.47597 | 33 | -82.7708, 27.63724 ], [ -82.69817, 27.63724 ], [ -82.69817, 27.47597 | ||
34 | ], [ -82.7708, 27.47597 ], [ -82.7708, 27.63724 ] ] ] }" | 34 | ], [ -82.7708, 27.47597 ], [ -82.7708, 27.63724 ] ] ] }" | ||
35 | } | 35 | } | ||
36 | ], | 36 | ], | ||
37 | "groups": [], | 37 | "groups": [], | ||
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40 | "license_id": null, | 40 | "license_id": null, | ||
41 | "license_title": null, | 41 | "license_title": null, | ||
42 | "maintainer": "data@disl.org", | 42 | "maintainer": "data@disl.org", | ||
43 | "maintainer_email": "data@disl.org", | 43 | "maintainer_email": "data@disl.org", | ||
44 | "metadata_created": "2022-07-27T14:33:13.961353", | 44 | "metadata_created": "2022-07-27T14:33:13.961353", | ||
n | 45 | "metadata_modified": "2022-07-27T14:33:50.112322", | n | 45 | "metadata_modified": "2022-10-10T21:23:23.554468", |
46 | "name": | 46 | "name": | ||
47 | nfaunal-abundance-in-shallow-water-habitats-around-tampa-bay-in-2015", | 47 | nfaunal-abundance-in-shallow-water-habitats-around-tampa-bay-in-2015", | ||
48 | "notes": "### Abstract\nAbundances of benthic macroinfauna were | 48 | "notes": "### Abstract\nAbundances of benthic macroinfauna were | ||
49 | measured in conjunction with field-deployed sediment oxygen demand | 49 | measured in conjunction with field-deployed sediment oxygen demand | ||
50 | chambers at two sites around Tampa Bay, Florida, in the summer of | 50 | chambers at two sites around Tampa Bay, Florida, in the summer of | ||
51 | 2015. Cores (15 cm diameter, 15 cm depth) were collected after each | 51 | 2015. Cores (15 cm diameter, 15 cm depth) were collected after each | ||
52 | sediment oxygen demand measurement was completed in the field, and | 52 | sediment oxygen demand measurement was completed in the field, and | ||
53 | additional cores were collected for infauna only (with no SOD | 53 | additional cores were collected for infauna only (with no SOD | ||
54 | measurement). Each sediment core was sieved using 0.5 mm mesh. Each | 54 | measurement). Each sediment core was sieved using 0.5 mm mesh. Each | ||
55 | sample was preserved in 95% ethanol and Rose Bengal stain. All | 55 | sample was preserved in 95% ethanol and Rose Bengal stain. All | ||
56 | organisms that were alive upon collection and therefore stained were | 56 | organisms that were alive upon collection and therefore stained were | ||
57 | picked out using a dissecting microscope, and placed into separate | 57 | picked out using a dissecting microscope, and placed into separate | ||
58 | vials with 95% ethanol for preservation. Animals were identified to | 58 | vials with 95% ethanol for preservation. Animals were identified to | ||
59 | lowest taxonomic classification possible, and the abundance of each | 59 | lowest taxonomic classification possible, and the abundance of each | ||
60 | taxon was determined. Abundances are presented as individuals per | 60 | taxon was determined. Abundances are presented as individuals per | ||
61 | square meter. These data are associated with the dataset: Sediment | 61 | square meter. These data are associated with the dataset: Sediment | ||
62 | oxygen demand in shallow water habitats around Tampa Bay in 2015 and | 62 | oxygen demand in shallow water habitats around Tampa Bay in 2015 and | ||
63 | 2016 (GRIIDC dataset R4.x262.000:0009).\n\n### Purpose\nInfaunal | 63 | 2016 (GRIIDC dataset R4.x262.000:0009).\n\n### Purpose\nInfaunal | ||
64 | samples were collected from unoiled reference sites in seagrass | 64 | samples were collected from unoiled reference sites in seagrass | ||
65 | (Halodule and Thalassia) and open, unvegetated sediment habitats to | 65 | (Halodule and Thalassia) and open, unvegetated sediment habitats to | ||
66 | investigate infaunal community structure. The goal was to compare | 66 | investigate infaunal community structure. The goal was to compare | ||
67 | these communities with those that were impacted by oil exposure during | 67 | these communities with those that were impacted by oil exposure during | ||
68 | the Deepwater Horizon spill sites in the Chandeleur Islands, northern | 68 | 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 | ||
70 | to determine whether communities differed significantly between sites | 70 | to determine whether communities differed significantly between sites | ||
71 | 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 | ||
72 | ACER consortium.\n\n**DOI: | 72 | ACER consortium.\n\n**DOI: | ||
73 | [doi:10.7266/N7765CFX](https://www.doi.org/10.7266/N7765CFX)**\n\n### | 73 | [doi:10.7266/N7765CFX](https://www.doi.org/10.7266/N7765CFX)**\n\n### | ||
74 | Suggested Citation\nSusan Bell. 2017. Macroinfaunal abundance in | 74 | Suggested Citation\nSusan Bell. 2017. Macroinfaunal abundance in | ||
75 | shallow water habitats around Tampa Bay in 2015. Distributed by: Gulf | 75 | shallow water habitats around Tampa Bay in 2015. Distributed by: Gulf | ||
76 | of Mexico Research Initiative Information and Data Cooperative | 76 | of Mexico Research Initiative Information and Data Cooperative | ||
77 | (GRIIDC), Harte Research Institute, Texas A&M University\u2013Corpus | 77 | (GRIIDC), Harte Research Institute, Texas A&M University\u2013Corpus | ||
78 | Christi. doi:10.7266/N7765CFX\n\n**Funded by:** Gulf of Mexico | 78 | Christi. doi:10.7266/N7765CFX\n\n**Funded by:** Gulf of Mexico | ||
79 | Research Initiative (GoMRI)\n\n**Funding cycle:** RFP-IV\n\n**Research | 79 | Research Initiative (GoMRI)\n\n**Funding cycle:** RFP-IV\n\n**Research | ||
80 | group:** Alabama Center for Ecological Resilience (ACER)\n\n", | 80 | group:** Alabama Center for Ecological Resilience (ACER)\n\n", | ||
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n | 86 | "description": "The Dauphin Island Sea Lab organization.", | n | 86 | "description": "The Dauphin Island Sea Lab's (DISL) mission is to |
87 | become a center for transformative U.S. oceanic and coastal research | ||||
88 | and education.. Founded in 1971 by the State of Alabama Legislature to | ||||
89 | maximize the marine sciences capabilities of several Alabama | ||||
90 | institutions and minimize duplication. \r\n\r\nLocated on the eastern | ||||
91 | tip of Dauphin Island, a barrier island in the northern Gulf of | ||||
92 | Mexico, DISL is surrounded by Mobile Bay, the Mississippi Sound, and | ||||
93 | the waters of the Gulf, making it a perfect location to conduct a wide | ||||
94 | range of marine science activity. \r\n\r\n[The University Programs | ||||
95 | (UP)](https://www.disl.edu/univ-prog/) serves the students of the | ||||
96 | Marine Environmental Sciences Consortium\u2019s (MESC) 22 public and | ||||
97 | private four-year colleges and universities through graduate and | ||||
98 | undergraduate programs. Throughout the year, graduate students conduct | ||||
99 | research, and attend classes while completing their degree under the | ||||
100 | mentorship of faculty and staff at the Dauphin Island Sea Lab. | ||||
101 | \r\n\r\n[The Discovery Hall Programs (DHP)](https://www.disl.edu/dhp/) | ||||
102 | oversees educational programs for K-12 field programs, | ||||
103 | teacher-training, and community outreach opportunities. \r\n[The | ||||
104 | Estuarium](https://www.disl.edu/aquarium/), our public aquarium | ||||
105 | located on the Dauphin Island Sea Lab campus, is a part of DHP's | ||||
106 | educational outreach mission. The Estuarium focuses solely on the | ||||
107 | Mobile-Tensaw Estuary System. The BayMobile allows DHP educators to | ||||
108 | bring marine science to students across Alabama in the classroom and | ||||
109 | at community events. \r\n\r\nResearch programs at the Dauphin Island | ||||
110 | Sea Lab range from biogeochemistry and oceanography to ecosystem | ||||
111 | ecology. While much of our research focuses on the near-shore and | ||||
112 | estuarine processes of the northern Gulf of Mexico, field sites of our | ||||
113 | internationally-renowned faculty also include the Arctic, Mexico, | ||||
114 | Australia, and other countries.\r\n\r\nThe Dauphin Island Sea Lab also | ||||
115 | offers state and local government, industry, and agency | ||||
116 | decision-makers a range of coastal zone management services, including | ||||
117 | access to the nationally acclaimed data management center. Armed with | ||||
118 | data through the DISL data management center, entities can make | ||||
119 | well-informed decisions and sound policies while considering | ||||
120 | environmental impact. Another key contributor to successful coastal | ||||
121 | zone management is the Mobile Bay National Estuary Program, which | ||||
122 | falls within the services of DISL.\r\n\r\n", | ||||
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t | 181 | "tags": [ | t | 218 | "tags": [], |
182 | { | ||||
183 | "display_name": "Fort De Soto", | ||||
184 | "id": "c6d9a26f-1521-4b0a-a98e-c982a4494785", | ||||
185 | "name": "Fort De Soto", | ||||
186 | "state": "active", | ||||
187 | "vocabulary_id": null | ||||
188 | }, | ||||
189 | { | ||||
190 | "display_name": "Tampa", | ||||
191 | "id": "0552c860-683a-42d5-b457-4b65bf239df1", | ||||
192 | "name": "Tampa", | ||||
193 | "state": "active", | ||||
194 | "vocabulary_id": null | ||||
195 | }, | ||||
196 | { | ||||
197 | "display_name": "War Memorial Park", | ||||
198 | "id": "5eb6dba9-588e-4843-a91a-95e0086f0a73", | ||||
199 | "name": "War Memorial Park", | ||||
200 | "state": "active", | ||||
201 | "vocabulary_id": null | ||||
202 | }, | ||||
203 | { | ||||
204 | "display_name": "infauna", | ||||
205 | "id": "31fdce84-372e-4cba-a1f4-c8afa5ef5bc0", | ||||
206 | "name": "infauna", | ||||
207 | "state": "active", | ||||
208 | "vocabulary_id": null | ||||
209 | }, | ||||
210 | { | ||||
211 | "display_name": "macroinfauna", | ||||
212 | "id": "0de88826-2f06-4ea1-945d-88bc68dc3ef2", | ||||
213 | "name": "macroinfauna", | ||||
214 | "state": "active", | ||||
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216 | }, | ||||
217 | { | ||||
218 | "display_name": "seagrass", | ||||
219 | "id": "5824ced6-3e9f-41c8-abac-b98bcff0e203", | ||||
220 | "name": "seagrass", | ||||
221 | "state": "active", | ||||
222 | "vocabulary_id": null | ||||
223 | } | ||||
224 | ], | ||||
225 | "title": "Macroinfaunal abundance in shallow water habitats around | 219 | "title": "Macroinfaunal abundance in shallow water habitats around | ||
226 | Tampa Bay in 2015", | 220 | Tampa Bay in 2015", | ||
227 | "type": "dataset", | 221 | "type": "dataset", | ||
228 | "url": null, | 222 | "url": null, | ||
229 | "version": null | 223 | "version": null | ||
230 | } | 224 | } |