Changes
On July 27, 2022 at 2:33:14 PM UTC, 851c91e4-6343-45af-967a-20a33797707e:
-
Added resource R4.x262.000-0015-metadata.xml to 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": [], | ||
38 | "id": "50722efd-a29b-4ae7-aa30-f34013ca750a", | 38 | "id": "50722efd-a29b-4ae7-aa30-f34013ca750a", | ||
39 | "isopen": false, | 39 | "isopen": false, | ||
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": "2022-07-27T14:33:13.961361", | n | 45 | "metadata_modified": "2022-07-27T14:33:14.398396", |
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", | ||
n | 81 | "num_resources": 0, | n | 81 | "num_resources": 1, |
82 | "num_tags": 6, | 82 | "num_tags": 6, | ||
83 | "organization": { | 83 | "organization": { | ||
84 | "approval_status": "approved", | 84 | "approval_status": "approved", | ||
85 | "created": "2022-07-22T03:25:13.329710", | 85 | "created": "2022-07-22T03:25:13.329710", | ||
86 | "description": "The Dauphin Island Sea Lab organization.", | 86 | "description": "The Dauphin Island Sea Lab organization.", | ||
87 | "id": "cb136e67-d862-4b9e-af1c-e5c564cee512", | 87 | "id": "cb136e67-d862-4b9e-af1c-e5c564cee512", | ||
88 | "image_url": "", | 88 | "image_url": "", | ||
89 | "is_organization": true, | 89 | "is_organization": true, | ||
90 | "name": "dauphin-island-sea-lab", | 90 | "name": "dauphin-island-sea-lab", | ||
91 | "state": "active", | 91 | "state": "active", | ||
92 | "title": "Dauphin Island Sea Lab", | 92 | "title": "Dauphin Island Sea Lab", | ||
93 | "type": "organization" | 93 | "type": "organization" | ||
94 | }, | 94 | }, | ||
95 | "owner_org": "cb136e67-d862-4b9e-af1c-e5c564cee512", | 95 | "owner_org": "cb136e67-d862-4b9e-af1c-e5c564cee512", | ||
96 | "private": false, | 96 | "private": false, | ||
97 | "relationships_as_object": [], | 97 | "relationships_as_object": [], | ||
98 | "relationships_as_subject": [], | 98 | "relationships_as_subject": [], | ||
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101 | "cache_last_updated": null, | ||||
102 | "cache_url": null, | ||||
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100 | "state": "active", | 125 | "state": "active", | ||
101 | "tags": [ | 126 | "tags": [ | ||
102 | { | 127 | { | ||
103 | "display_name": "Fort De Soto", | 128 | "display_name": "Fort De Soto", | ||
104 | "id": "c6d9a26f-1521-4b0a-a98e-c982a4494785", | 129 | "id": "c6d9a26f-1521-4b0a-a98e-c982a4494785", | ||
105 | "name": "Fort De Soto", | 130 | "name": "Fort De Soto", | ||
106 | "state": "active", | 131 | "state": "active", | ||
107 | "vocabulary_id": null | 132 | "vocabulary_id": null | ||
108 | }, | 133 | }, | ||
109 | { | 134 | { | ||
110 | "display_name": "Tampa", | 135 | "display_name": "Tampa", | ||
111 | "id": "0552c860-683a-42d5-b457-4b65bf239df1", | 136 | "id": "0552c860-683a-42d5-b457-4b65bf239df1", | ||
112 | "name": "Tampa", | 137 | "name": "Tampa", | ||
113 | "state": "active", | 138 | "state": "active", | ||
114 | "vocabulary_id": null | 139 | "vocabulary_id": null | ||
115 | }, | 140 | }, | ||
116 | { | 141 | { | ||
117 | "display_name": "War Memorial Park", | 142 | "display_name": "War Memorial Park", | ||
118 | "id": "5eb6dba9-588e-4843-a91a-95e0086f0a73", | 143 | "id": "5eb6dba9-588e-4843-a91a-95e0086f0a73", | ||
119 | "name": "War Memorial Park", | 144 | "name": "War Memorial Park", | ||
120 | "state": "active", | 145 | "state": "active", | ||
121 | "vocabulary_id": null | 146 | "vocabulary_id": null | ||
122 | }, | 147 | }, | ||
123 | { | 148 | { | ||
124 | "display_name": "infauna", | 149 | "display_name": "infauna", | ||
125 | "id": "31fdce84-372e-4cba-a1f4-c8afa5ef5bc0", | 150 | "id": "31fdce84-372e-4cba-a1f4-c8afa5ef5bc0", | ||
126 | "name": "infauna", | 151 | "name": "infauna", | ||
127 | "state": "active", | 152 | "state": "active", | ||
128 | "vocabulary_id": null | 153 | "vocabulary_id": null | ||
129 | }, | 154 | }, | ||
130 | { | 155 | { | ||
131 | "display_name": "macroinfauna", | 156 | "display_name": "macroinfauna", | ||
132 | "id": "0de88826-2f06-4ea1-945d-88bc68dc3ef2", | 157 | "id": "0de88826-2f06-4ea1-945d-88bc68dc3ef2", | ||
133 | "name": "macroinfauna", | 158 | "name": "macroinfauna", | ||
134 | "state": "active", | 159 | "state": "active", | ||
135 | "vocabulary_id": null | 160 | "vocabulary_id": null | ||
136 | }, | 161 | }, | ||
137 | { | 162 | { | ||
138 | "display_name": "seagrass", | 163 | "display_name": "seagrass", | ||
139 | "id": "5824ced6-3e9f-41c8-abac-b98bcff0e203", | 164 | "id": "5824ced6-3e9f-41c8-abac-b98bcff0e203", | ||
140 | "name": "seagrass", | 165 | "name": "seagrass", | ||
141 | "state": "active", | 166 | "state": "active", | ||
142 | "vocabulary_id": null | 167 | "vocabulary_id": null | ||
143 | } | 168 | } | ||
144 | ], | 169 | ], | ||
145 | "title": "Macroinfaunal abundance in shallow water habitats around | 170 | "title": "Macroinfaunal abundance in shallow water habitats around | ||
146 | Tampa Bay in 2015", | 171 | Tampa Bay in 2015", | ||
147 | "type": "dataset", | 172 | "type": "dataset", | ||
148 | "url": null, | 173 | "url": null, | ||
149 | "version": null | 174 | "version": null | ||
150 | } | 175 | } |