Changes
On July 27, 2022 at 2:33:02 PM UTC, 851c91e4-6343-45af-967a-20a33797707e:
-
Added resource Bell_Sediment_Properties_Tampa_2015_ACER_data.csv to Sediment properties in shallow waters around Tampa Bay, FL in July 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/N747486K" | 8 | "value": "doi:10.7266/N747486K" | ||
9 | }, | 9 | }, | ||
10 | { | 10 | { | ||
11 | "key": "ISO.pointOfContact", | 11 | "key": "ISO.pointOfContact", | ||
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 Bay, Florida" | 16 | "value": "Tampa Bay, Florida" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "key": "Temporal Begin", | 19 | "key": "Temporal Begin", | ||
20 | "value": "2015-07-28" | 20 | "value": "2015-07-28" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "key": "Temporal End", | 23 | "key": "Temporal End", | ||
24 | "value": "2015-07-30" | 24 | "value": "2015-07-30" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "key": "Theme Keywords", | 27 | "key": "Theme Keywords", | ||
28 | "value": "sediment, porocity, isotopes, C:N ratio, carbon, | 28 | "value": "sediment, porocity, isotopes, C:N ratio, carbon, | ||
29 | nitrogen, seagrass, Thalassia, Halodule" | 29 | nitrogen, seagrass, Thalassia, Halodule" | ||
30 | }, | 30 | }, | ||
31 | { | 31 | { | ||
32 | "key": "spatial", | 32 | "key": "spatial", | ||
33 | "value": "{ \"type\": \"Polygon\", \"coordinates\": [ [ [ | 33 | "value": "{ \"type\": \"Polygon\", \"coordinates\": [ [ [ | ||
34 | -82.46144, 27.47597 ], [ -82.41534, 27.47597 ], [ -82.41534, 27.38136 | 34 | -82.46144, 27.47597 ], [ -82.41534, 27.47597 ], [ -82.41534, 27.38136 | ||
35 | ], [ -82.46144, 27.38136 ], [ -82.46144, 27.47597 ] ] ] }" | 35 | ], [ -82.46144, 27.38136 ], [ -82.46144, 27.47597 ] ] ] }" | ||
36 | } | 36 | } | ||
37 | ], | 37 | ], | ||
38 | "groups": [], | 38 | "groups": [], | ||
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40 | "isopen": false, | 40 | "isopen": false, | ||
41 | "license_id": null, | 41 | "license_id": null, | ||
42 | "license_title": null, | 42 | "license_title": null, | ||
43 | "maintainer": "data@disl.org", | 43 | "maintainer": "data@disl.org", | ||
44 | "maintainer_email": "data@disl.org", | 44 | "maintainer_email": "data@disl.org", | ||
45 | "metadata_created": "2022-07-27T14:33:01.366856", | 45 | "metadata_created": "2022-07-27T14:33:01.366856", | ||
n | 46 | "metadata_modified": "2022-07-27T14:33:01.886196", | n | 46 | "metadata_modified": "2022-07-27T14:33:02.341187", |
47 | "name": | 47 | "name": | ||
48 | diment-properties-in-shallow-waters-around-tampa-bay-fl-in-july-2015", | 48 | diment-properties-in-shallow-waters-around-tampa-bay-fl-in-july-2015", | ||
49 | "notes": "### Abstract\nSediments were collected in conjunction with | 49 | "notes": "### Abstract\nSediments were collected in conjunction with | ||
50 | infauna sampling at three sampling locations around Tampa Bay, FL in | 50 | infauna sampling at three sampling locations around Tampa Bay, FL in | ||
51 | 2015 and analyzed for porosity of depth slices of 1 cm increments for | 51 | 2015 and analyzed for porosity of depth slices of 1 cm increments for | ||
52 | the top 5 cm and 2 cm increments for 5-15 cm depth. C and N were | 52 | the top 5 cm and 2 cm increments for 5-15 cm depth. C and N were | ||
53 | measured at the USFSI Stable Isotope Lab, Department of Geology, | 53 | measured at the USFSI Stable Isotope Lab, Department of Geology, | ||
54 | University of South Florida, Tampa, using a Costech elemental | 54 | University of South Florida, Tampa, using a Costech elemental | ||
55 | combustion system, and data are given as total N (umol), total C | 55 | combustion system, and data are given as total N (umol), total C | ||
56 | (umol) and C:N ratio. Sediment grain size analysis was done using | 56 | (umol) and C:N ratio. Sediment grain size analysis was done using | ||
57 | standard gravitational methods and is presented as % sand, silt, clay, | 57 | standard gravitational methods and is presented as % sand, silt, clay, | ||
58 | and mud. Samples were collected in shallow water (0.25-1 m depth) in | 58 | and mud. Samples were collected in shallow water (0.25-1 m depth) in | ||
59 | Halodule and Thalassia beds and adjacent bare (unvegetated) | 59 | Halodule and Thalassia beds and adjacent bare (unvegetated) | ||
60 | sediments.\n\n### Purpose\nSediment characteristics are important | 60 | sediments.\n\n### Purpose\nSediment characteristics are important | ||
61 | components in understanding how the physical environment helps to | 61 | components in understanding how the physical environment helps to | ||
62 | shape the structure and function of benthic communities. We measured | 62 | shape the structure and function of benthic communities. We measured | ||
63 | sediment profiles at two sites in Tampa Bay, Florida, to establish | 63 | sediment profiles at two sites in Tampa Bay, Florida, to establish | ||
64 | working knowledge of sediment nutrient levels and physical properties | 64 | working knowledge of sediment nutrient levels and physical properties | ||
65 | at these locations. The purpose is to ultimately investigate and | 65 | at these locations. The purpose is to ultimately investigate and | ||
66 | compare differences between Tampa locations (un-contaminated reference | 66 | compare differences between Tampa locations (un-contaminated reference | ||
67 | locations) and sites in the Chandeleur Islands, northern Gulf of | 67 | locations) and sites in the Chandeleur Islands, northern Gulf of | ||
68 | Mexico, which were impacted by oil contamination. Results will be | 68 | Mexico, which were impacted by oil contamination. Results will be | ||
69 | analyzed and compared with associated infaunal abundance, biomass, and | 69 | analyzed and compared with associated infaunal abundance, biomass, and | ||
70 | oxygen consumption data to better understand how the benthic | 70 | oxygen consumption data to better understand how the benthic | ||
71 | communities at these un-contaminated locations in Tampa function | 71 | communities at these un-contaminated locations in Tampa function | ||
72 | versus those in oil-contaminated locations. This study is part of a | 72 | versus those in oil-contaminated locations. This study is part of a | ||
73 | consortium that aims to assess the impact of oil contamination on | 73 | consortium that aims to assess the impact of oil contamination on | ||
74 | sediment ecosystem function in the context of natural daily, seasonal, | 74 | sediment ecosystem function in the context of natural daily, seasonal, | ||
75 | and annual variability in a dynamic ecosystem.\n\n**DOI: | 75 | and annual variability in a dynamic ecosystem.\n\n**DOI: | ||
76 | [doi:10.7266/N747486K](https://www.doi.org/10.7266/N747486K)**\n\n### | 76 | [doi:10.7266/N747486K](https://www.doi.org/10.7266/N747486K)**\n\n### | ||
77 | Suggested Citation\nSusan Bell. 2017. Sediment properties in shallow | 77 | Suggested Citation\nSusan Bell. 2017. Sediment properties in shallow | ||
78 | waters around Tampa Bay, FL in July 2015. Distributed by: Gulf of | 78 | waters around Tampa Bay, FL in July 2015. Distributed by: Gulf of | ||
79 | Mexico Research Initiative Information and Data Cooperative (GRIIDC), | 79 | Mexico Research Initiative Information and Data Cooperative (GRIIDC), | ||
80 | Harte Research Institute, Texas A&M University\u2013Corpus Christi. | 80 | Harte Research Institute, Texas A&M University\u2013Corpus Christi. | ||
81 | doi:10.7266/N747486K\n\n**Funded by:** Gulf of Mexico Research | 81 | doi:10.7266/N747486K\n\n**Funded by:** Gulf of Mexico Research | ||
82 | Initiative (GoMRI)\n\n**Funding cycle:** RFP-IV\n\n**Research group:** | 82 | Initiative (GoMRI)\n\n**Funding cycle:** RFP-IV\n\n**Research group:** | ||
83 | Alabama Center for Ecological Resilience (ACER)\n\n", | 83 | Alabama Center for Ecological Resilience (ACER)\n\n", | ||
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85 | "num_tags": 11, | 85 | "num_tags": 11, | ||
86 | "organization": { | 86 | "organization": { | ||
87 | "approval_status": "approved", | 87 | "approval_status": "approved", | ||
88 | "created": "2022-07-22T03:25:13.329710", | 88 | "created": "2022-07-22T03:25:13.329710", | ||
89 | "description": "The Dauphin Island Sea Lab organization.", | 89 | "description": "The Dauphin Island Sea Lab organization.", | ||
90 | "id": "cb136e67-d862-4b9e-af1c-e5c564cee512", | 90 | "id": "cb136e67-d862-4b9e-af1c-e5c564cee512", | ||
91 | "image_url": "", | 91 | "image_url": "", | ||
92 | "is_organization": true, | 92 | "is_organization": true, | ||
93 | "name": "dauphin-island-sea-lab", | 93 | "name": "dauphin-island-sea-lab", | ||
94 | "state": "active", | 94 | "state": "active", | ||
95 | "title": "Dauphin Island Sea Lab", | 95 | "title": "Dauphin Island Sea Lab", | ||
96 | "type": "organization" | 96 | "type": "organization" | ||
97 | }, | 97 | }, | ||
98 | "owner_org": "cb136e67-d862-4b9e-af1c-e5c564cee512", | 98 | "owner_org": "cb136e67-d862-4b9e-af1c-e5c564cee512", | ||
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128 | "state": "active", | 152 | "state": "active", | ||
129 | "tags": [ | 153 | "tags": [ | ||
130 | { | 154 | { | ||
131 | "display_name": "CN ratio", | 155 | "display_name": "CN ratio", | ||
132 | "id": "79e0388b-a4dd-49c9-8c07-b003c78a4a32", | 156 | "id": "79e0388b-a4dd-49c9-8c07-b003c78a4a32", | ||
133 | "name": "CN ratio", | 157 | "name": "CN ratio", | ||
134 | "state": "active", | 158 | "state": "active", | ||
135 | "vocabulary_id": null | 159 | "vocabulary_id": null | ||
136 | }, | 160 | }, | ||
137 | { | 161 | { | ||
138 | "display_name": "Florida", | 162 | "display_name": "Florida", | ||
139 | "id": "907c3289-9b88-41bd-8962-351a1cc97f3c", | 163 | "id": "907c3289-9b88-41bd-8962-351a1cc97f3c", | ||
140 | "name": "Florida", | 164 | "name": "Florida", | ||
141 | "state": "active", | 165 | "state": "active", | ||
142 | "vocabulary_id": null | 166 | "vocabulary_id": null | ||
143 | }, | 167 | }, | ||
144 | { | 168 | { | ||
145 | "display_name": "Halodule", | 169 | "display_name": "Halodule", | ||
146 | "id": "98033cac-d0db-41aa-a469-10f361cba648", | 170 | "id": "98033cac-d0db-41aa-a469-10f361cba648", | ||
147 | "name": "Halodule", | 171 | "name": "Halodule", | ||
148 | "state": "active", | 172 | "state": "active", | ||
149 | "vocabulary_id": null | 173 | "vocabulary_id": null | ||
150 | }, | 174 | }, | ||
151 | { | 175 | { | ||
152 | "display_name": "Tampa Bay", | 176 | "display_name": "Tampa Bay", | ||
153 | "id": "fdd3f9a3-8d7d-4941-99df-d871a2b8e7ca", | 177 | "id": "fdd3f9a3-8d7d-4941-99df-d871a2b8e7ca", | ||
154 | "name": "Tampa Bay", | 178 | "name": "Tampa Bay", | ||
155 | "state": "active", | 179 | "state": "active", | ||
156 | "vocabulary_id": null | 180 | "vocabulary_id": null | ||
157 | }, | 181 | }, | ||
158 | { | 182 | { | ||
159 | "display_name": "Thalassia", | 183 | "display_name": "Thalassia", | ||
160 | "id": "3c0b8d98-48c5-41df-97cd-eaafebb4ed92", | 184 | "id": "3c0b8d98-48c5-41df-97cd-eaafebb4ed92", | ||
161 | "name": "Thalassia", | 185 | "name": "Thalassia", | ||
162 | "state": "active", | 186 | "state": "active", | ||
163 | "vocabulary_id": null | 187 | "vocabulary_id": null | ||
164 | }, | 188 | }, | ||
165 | { | 189 | { | ||
166 | "display_name": "carbon", | 190 | "display_name": "carbon", | ||
167 | "id": "4c08a532-a250-4182-824f-c4c505664527", | 191 | "id": "4c08a532-a250-4182-824f-c4c505664527", | ||
168 | "name": "carbon", | 192 | "name": "carbon", | ||
169 | "state": "active", | 193 | "state": "active", | ||
170 | "vocabulary_id": null | 194 | "vocabulary_id": null | ||
171 | }, | 195 | }, | ||
172 | { | 196 | { | ||
173 | "display_name": "isotopes", | 197 | "display_name": "isotopes", | ||
174 | "id": "7a4b9037-143a-4890-b728-dde53b029c34", | 198 | "id": "7a4b9037-143a-4890-b728-dde53b029c34", | ||
175 | "name": "isotopes", | 199 | "name": "isotopes", | ||
176 | "state": "active", | 200 | "state": "active", | ||
177 | "vocabulary_id": null | 201 | "vocabulary_id": null | ||
178 | }, | 202 | }, | ||
179 | { | 203 | { | ||
180 | "display_name": "nitrogen", | 204 | "display_name": "nitrogen", | ||
181 | "id": "b543fdc1-f51b-45aa-a0e5-3bd859c9036c", | 205 | "id": "b543fdc1-f51b-45aa-a0e5-3bd859c9036c", | ||
182 | "name": "nitrogen", | 206 | "name": "nitrogen", | ||
183 | "state": "active", | 207 | "state": "active", | ||
184 | "vocabulary_id": null | 208 | "vocabulary_id": null | ||
185 | }, | 209 | }, | ||
186 | { | 210 | { | ||
187 | "display_name": "porocity", | 211 | "display_name": "porocity", | ||
188 | "id": "18c6f39c-db85-4858-825d-86c2c6efcbb8", | 212 | "id": "18c6f39c-db85-4858-825d-86c2c6efcbb8", | ||
189 | "name": "porocity", | 213 | "name": "porocity", | ||
190 | "state": "active", | 214 | "state": "active", | ||
191 | "vocabulary_id": null | 215 | "vocabulary_id": null | ||
192 | }, | 216 | }, | ||
193 | { | 217 | { | ||
194 | "display_name": "seagrass", | 218 | "display_name": "seagrass", | ||
195 | "id": "5824ced6-3e9f-41c8-abac-b98bcff0e203", | 219 | "id": "5824ced6-3e9f-41c8-abac-b98bcff0e203", | ||
196 | "name": "seagrass", | 220 | "name": "seagrass", | ||
197 | "state": "active", | 221 | "state": "active", | ||
198 | "vocabulary_id": null | 222 | "vocabulary_id": null | ||
199 | }, | 223 | }, | ||
200 | { | 224 | { | ||
201 | "display_name": "sediment", | 225 | "display_name": "sediment", | ||
202 | "id": "d786ab28-d532-4342-a122-d99565e6d8ce", | 226 | "id": "d786ab28-d532-4342-a122-d99565e6d8ce", | ||
203 | "name": "sediment", | 227 | "name": "sediment", | ||
204 | "state": "active", | 228 | "state": "active", | ||
205 | "vocabulary_id": null | 229 | "vocabulary_id": null | ||
206 | } | 230 | } | ||
207 | ], | 231 | ], | ||
208 | "title": "Sediment properties in shallow waters around Tampa Bay, FL | 232 | "title": "Sediment properties in shallow waters around Tampa Bay, FL | ||
209 | in July 2015", | 233 | in July 2015", | ||
210 | "type": "dataset", | 234 | "type": "dataset", | ||
211 | "url": null, | 235 | "url": null, | ||
212 | "version": null | 236 | "version": null | ||
213 | } | 237 | } |