Changes
On October 3, 2024 at 6:07:01 AM UTC, Administrator:
-
Added tag EDNA to Environmental DNA Marine France Eparses 2019
f | 1 | { | f | 1 | { |
2 | "author": "[{\"given_name\": \"Melissa\", \"name\": \"Jaquier\", | 2 | "author": "[{\"given_name\": \"Melissa\", \"name\": \"Jaquier\", | ||
3 | \"email\": \"melissa@jaquier.blue\", \"data_credit\": [], | 3 | \"email\": \"melissa@jaquier.blue\", \"data_credit\": [], | ||
4 | \"identifier\": \"\", \"affiliation\": \"ETHZ\"}, {\"given_name\": | 4 | \"identifier\": \"\", \"affiliation\": \"ETHZ\"}, {\"given_name\": | ||
5 | \"Camille\", \"name\": \"Albouy\", \"email\": | 5 | \"Camille\", \"name\": \"Albouy\", \"email\": | ||
6 | \"albouycamille@gmail.com\", \"data_credit\": [], \"identifier\": | 6 | \"albouycamille@gmail.com\", \"data_credit\": [], \"identifier\": | ||
7 | \"0000-0003-1629-2389\", \"affiliation\": \"ETH\"}, {\"given_name\": | 7 | \"0000-0003-1629-2389\", \"affiliation\": \"ETH\"}, {\"given_name\": | ||
8 | \"Wilhelmine\", \"name\": \"Bach\", \"email\": | 8 | \"Wilhelmine\", \"name\": \"Bach\", \"email\": | ||
9 | \"wilhelmine.bach@usys.ethz.ch\", \"data_credit\": [], \"identifier\": | 9 | \"wilhelmine.bach@usys.ethz.ch\", \"data_credit\": [], \"identifier\": | ||
10 | \"\", \"affiliation\": \"ETHZ\"}, {\"given_name\": \"Conor\", | 10 | \"\", \"affiliation\": \"ETHZ\"}, {\"given_name\": \"Conor\", | ||
11 | \"name\": \"Waldock\", \"email\": \"conor.waldock@unibe.ch\", | 11 | \"name\": \"Waldock\", \"email\": \"conor.waldock@unibe.ch\", | ||
12 | \"data_credit\": [], \"identifier\": \"0000-0002-2818-9859\", | 12 | \"data_credit\": [], \"identifier\": \"0000-0002-2818-9859\", | ||
13 | \"affiliation\": \"Unit of Land Change Science, Swiss Federal Research | 13 | \"affiliation\": \"Unit of Land Change Science, Swiss Federal Research | ||
14 | Institute WSL, Birmensdorf, Switzerland\"}, {\"given_name\": | 14 | Institute WSL, Birmensdorf, Switzerland\"}, {\"given_name\": | ||
15 | \"Virginie\", \"name\": \"Marques\", \"email\": | 15 | \"Virginie\", \"name\": \"Marques\", \"email\": | ||
16 | \"virginie.marques@wsl.ch\", \"data_credit\": []}, {\"given_name\": | 16 | \"virginie.marques@wsl.ch\", \"data_credit\": []}, {\"given_name\": | ||
17 | \"Eva\", \"name\": \"Maire\", \"email\": \"eva.maire@ird.fr\", | 17 | \"Eva\", \"name\": \"Maire\", \"email\": \"eva.maire@ird.fr\", | ||
18 | \"data_credit\": [], \"identifier\": \"\", \"affiliation\": \"IRD\"}, | 18 | \"data_credit\": [], \"identifier\": \"\", \"affiliation\": \"IRD\"}, | ||
19 | {\"given_name\": \"Jean-Baptiste\", \"name\": \"Juhel\", \"email\": | 19 | {\"given_name\": \"Jean-Baptiste\", \"name\": \"Juhel\", \"email\": | ||
20 | \"jeanbaptiste.juhel@gmail.com\", \"data_credit\": [], \"identifier\": | 20 | \"jeanbaptiste.juhel@gmail.com\", \"data_credit\": [], \"identifier\": | ||
21 | \"\", \"affiliation\": \"University of Montpellier\"}, | 21 | \"\", \"affiliation\": \"University of Montpellier\"}, | ||
22 | {\"given_name\": \"Marco\", \"name\": \"Andrello\", \"email\": | 22 | {\"given_name\": \"Marco\", \"name\": \"Andrello\", \"email\": | ||
23 | \"marco.andrello@ird.fr\", \"data_credit\": [], \"affiliation\": | 23 | \"marco.andrello@ird.fr\", \"data_credit\": [], \"affiliation\": | ||
24 | \"IRD\"}, {\"given_name\": \"Alice\", \"name\": \"Valentini\", | 24 | \"IRD\"}, {\"given_name\": \"Alice\", \"name\": \"Valentini\", | ||
25 | \"email\": \"alice.valentini@spygen.com\", \"data_credit\": [], | 25 | \"email\": \"alice.valentini@spygen.com\", \"data_credit\": [], | ||
26 | \"identifier\": \"\", \"affiliation\": \"SPYGEN\"}, {\"given_name\": | 26 | \"identifier\": \"\", \"affiliation\": \"SPYGEN\"}, {\"given_name\": | ||
27 | \"Stephanie\", \"name\": \"Manel\", \"email\": | 27 | \"Stephanie\", \"name\": \"Manel\", \"email\": | ||
28 | \"stephanie.manel@cefe.cnrs.fr\", \"data_credit\": [], \"identifier\": | 28 | \"stephanie.manel@cefe.cnrs.fr\", \"data_credit\": [], \"identifier\": | ||
29 | \"\", \"affiliation\": \"EPHE\"}, {\"given_name\": \"Tony\", \"name\": | 29 | \"\", \"affiliation\": \"EPHE\"}, {\"given_name\": \"Tony\", \"name\": | ||
30 | \"Dejean\", \"email\": \"tony.dejean@spygen.com\", \"data_credit\": | 30 | \"Dejean\", \"email\": \"tony.dejean@spygen.com\", \"data_credit\": | ||
31 | [], \"identifier\": \"\", \"affiliation\": \"SPYGEN\"}, | 31 | [], \"identifier\": \"\", \"affiliation\": \"SPYGEN\"}, | ||
32 | {\"given_name\": \"David\", \"name\": \"Mouillot\", \"email\": | 32 | {\"given_name\": \"David\", \"name\": \"Mouillot\", \"email\": | ||
33 | \"david.mouillot@umontpellier.fr\", \"data_credit\": [], | 33 | \"david.mouillot@umontpellier.fr\", \"data_credit\": [], | ||
34 | \"identifier\": \"\", \"affiliation\": \"University of Montpellier\"}, | 34 | \"identifier\": \"\", \"affiliation\": \"University of Montpellier\"}, | ||
35 | {\"given_name\": \"Loic\", \"name\": \"Pellissier\", \"email\": | 35 | {\"given_name\": \"Loic\", \"name\": \"Pellissier\", \"email\": | ||
36 | \"loic.pellissier@usys.ethz.ch\", \"data_credit\": [], \"identifier\": | 36 | \"loic.pellissier@usys.ethz.ch\", \"data_credit\": [], \"identifier\": | ||
37 | \"0000-0002-2289-8259\", \"affiliation\": \"Ecosystems and Landscape | 37 | \"0000-0002-2289-8259\", \"affiliation\": \"Ecosystems and Landscape | ||
38 | Evolution, Dep. of Environmental Systems Science, ETH Zurich\"}]", | 38 | Evolution, Dep. of Environmental Systems Science, ETH Zurich\"}]", | ||
39 | "author_email": null, | 39 | "author_email": null, | ||
40 | "creator_user_id": "382d8fab-f378-477d-88f6-26f77aee50d8", | 40 | "creator_user_id": "382d8fab-f378-477d-88f6-26f77aee50d8", | ||
41 | "date": | 41 | "date": | ||
42 | :\"collected\",\"date\":\"2019-04-09\",\"end_date\":\"2019-04-28\"}]", | 42 | :\"collected\",\"date\":\"2019-04-09\",\"end_date\":\"2019-04-28\"}]", | ||
43 | "doi": "10.16904/envidat.545", | 43 | "doi": "10.16904/envidat.545", | ||
44 | "extras": [ | 44 | "extras": [ | ||
45 | { | 45 | { | ||
46 | "key": "edna_type", | 46 | "key": "edna_type", | ||
47 | "value": "marine" | 47 | "value": "marine" | ||
48 | }, | 48 | }, | ||
49 | { | 49 | { | ||
50 | "key": "metadata", | 50 | "key": "metadata", | ||
51 | "value": | 51 | "value": | ||
52 | ma_fr/ma_fr_eparse_2019/metadata/metadata_field_ma_fr_eparse_2019.csv" | 52 | ma_fr/ma_fr_eparse_2019/metadata/metadata_field_ma_fr_eparse_2019.csv" | ||
53 | } | 53 | } | ||
54 | ], | 54 | ], | ||
55 | "funding": "[{\"institution\":\"Internal Funding ELE group | 55 | "funding": "[{\"institution\":\"Internal Funding ELE group | ||
56 | (ETHZ/WSL)\",\"grant_number\":\"\",\"institution_url\":\"\"}]", | 56 | (ETHZ/WSL)\",\"grant_number\":\"\",\"institution_url\":\"\"}]", | ||
57 | "groups": [], | 57 | "groups": [], | ||
58 | "id": "0bbc95ac-0e6d-4200-8ff4-2ff0a650a72c", | 58 | "id": "0bbc95ac-0e6d-4200-8ff4-2ff0a650a72c", | ||
59 | "isopen": false, | 59 | "isopen": false, | ||
60 | "license_id": "wsl-data", | 60 | "license_id": "wsl-data", | ||
61 | "license_title": "WSL Data Policy", | 61 | "license_title": "WSL Data Policy", | ||
62 | "license_url": | 62 | "license_url": | ||
63 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | 63 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | ||
64 | "maintainer": | 64 | "maintainer": | ||
65 | e.marques@wsl.ch\",\"given_name\":\"Virginie\",\"name\":\"Marques\"}", | 65 | e.marques@wsl.ch\",\"given_name\":\"Virginie\",\"name\":\"Marques\"}", | ||
66 | "maintainer_email": null, | 66 | "maintainer_email": null, | ||
67 | "metadata_created": "2024-09-23T12:22:11.789763", | 67 | "metadata_created": "2024-09-23T12:22:11.789763", | ||
n | 68 | "metadata_modified": "2024-10-03T06:04:38.495086", | n | 68 | "metadata_modified": "2024-10-03T06:07:01.087693", |
69 | "name": "environmental-dna-marine-france-eparses-2019", | 69 | "name": "environmental-dna-marine-france-eparses-2019", | ||
70 | "notes": "Fish environmental DNA data set collected in the French | 70 | "notes": "Fish environmental DNA data set collected in the French | ||
71 | Scattered Islands across Surface and Seamount Habitats\n\nDuring a | 71 | Scattered Islands across Surface and Seamount Habitats\n\nDuring a | ||
72 | scientific expedition aboard the R/V Marion Dufresne in April 2019, | 72 | scientific expedition aboard the R/V Marion Dufresne in April 2019, | ||
73 | spanning from the 8th to the 28th, we collected 75 water samples in | 73 | spanning from the 8th to the 28th, we collected 75 water samples in | ||
74 | four French Scattered Islands (Europa, Glorieuse, Juan de Nova, and | 74 | four French Scattered Islands (Europa, Glorieuse, Juan de Nova, and | ||
75 | Tromelin). These samples comprised two types: transect samples of | 75 | Tromelin). These samples comprised two types: transect samples of | ||
76 | surface water and fixed point samples taken from the surface to deeper | 76 | surface water and fixed point samples taken from the surface to deeper | ||
77 | waters. Regarding transect sampling, 36 water samples were collected | 77 | waters. Regarding transect sampling, 36 water samples were collected | ||
78 | along 18 transects across the four islands (Europa = 6; Glorieuse = 5; | 78 | along 18 transects across the four islands (Europa = 6; Glorieuse = 5; | ||
79 | Juan de Nova = 4; Tromelin = 3). We conducted filtration replicates in | 79 | Juan de Nova = 4; Tromelin = 3). We conducted filtration replicates in | ||
80 | parallel, with filtration tubes positioned a few centimeters below the | 80 | parallel, with filtration tubes positioned a few centimeters below the | ||
81 | surface on each side of the boat. Each transect involved a 30-minute | 81 | surface on each side of the boat. Each transect involved a 30-minute | ||
82 | filtration of approximately 30 liters. Initial transects were | 82 | filtration of approximately 30 liters. Initial transects were | ||
83 | performed close to the shore on shallow reefs. Subsequent transects | 83 | performed close to the shore on shallow reefs. Subsequent transects | ||
84 | were conducted at various distances from the initial points, | 84 | were conducted at various distances from the initial points, | ||
85 | accounting for observed changes in depth. For Europa, transects were | 85 | accounting for observed changes in depth. For Europa, transects were | ||
86 | carried out at distances of 50, 300, and 600 meters from the initial | 86 | carried out at distances of 50, 300, and 600 meters from the initial | ||
87 | point due to a gradual decrease in depth extending from the island's | 87 | point due to a gradual decrease in depth extending from the island's | ||
88 | northern part. In contrast, depth decreased rapidly from the initial | 88 | northern part. In contrast, depth decreased rapidly from the initial | ||
89 | points in Glorieuse and Tromelin. Therefore, transects were performed | 89 | points in Glorieuse and Tromelin. Therefore, transects were performed | ||
90 | at distances of 50, 100, and 300 meters from the initial points for | 90 | at distances of 50, 100, and 300 meters from the initial points for | ||
91 | Glorieuse, and at distances of 50 and 100 meters for Tromelin, | 91 | Glorieuse, and at distances of 50 and 100 meters for Tromelin, | ||
92 | considering the island's small size, sudden depth decrease, and safety | 92 | considering the island's small size, sudden depth decrease, and safety | ||
93 | concerns (see Figure 1a\u2013d).\nRegarding fixed point sampling, eDNA | 93 | concerns (see Figure 1a\u2013d).\nRegarding fixed point sampling, eDNA | ||
94 | was collected using 12L Niskin bottles from the surface to deeper | 94 | was collected using 12L Niskin bottles from the surface to deeper | ||
95 | habitats at various locations (Europa = 2; Glorieuse = 1; Juan de Nova | 95 | habitats at various locations (Europa = 2; Glorieuse = 1; Juan de Nova | ||
96 | = 1; Tromelin = 1; Canyon = 1; Juan_Mayotte = 1; Seamount = 1; | 96 | = 1; Tromelin = 1; Canyon = 1; Juan_Mayotte = 1; Seamount = 1; | ||
97 | Seamount_near_Tromelin = 1), covering depths from -1 meter to -3000 | 97 | Seamount_near_Tromelin = 1), covering depths from -1 meter to -3000 | ||
98 | meters (from 12L, 24L, or 30L bottles).\nIn both sampling cases the | 98 | meters (from 12L, 24L, or 30L bottles).\nIn both sampling cases the | ||
99 | filtration equipment comprised an Athena\u00ae peristaltic pump | 99 | filtration equipment comprised an Athena\u00ae peristaltic pump | ||
100 | (Proactive Environmental Products LLC, Bradenton, Florida, USA; | 100 | (Proactive Environmental Products LLC, Bradenton, Florida, USA; | ||
101 | nominal flow of 1.0 L min-1), a VigiDNA\u00ae 0.2 \u00b5M cross flow | 101 | nominal flow of 1.0 L min-1), a VigiDNA\u00ae 0.2 \u00b5M cross flow | ||
102 | filtration capsule (SPYGEN, le Bourget du Lac, France), and disposable | 102 | filtration capsule (SPYGEN, le Bourget du Lac, France), and disposable | ||
103 | sterile tubing for each filtration capsule. After filtration, capsules | 103 | sterile tubing for each filtration capsule. After filtration, capsules | ||
104 | were emptied of water, filled with 80 mL of CL1 conservation buffer | 104 | were emptied of water, filled with 80 mL of CL1 conservation buffer | ||
105 | (SPYGEN, le Bourget du Lac, France), and stored at room temperature in | 105 | (SPYGEN, le Bourget du Lac, France), and stored at room temperature in | ||
106 | the dark. We followed a strict contamination control protocol in both | 106 | the dark. We followed a strict contamination control protocol in both | ||
107 | field and laboratory stages (Valentini et al., 2016). Each water | 107 | field and laboratory stages (Valentini et al., 2016). Each water | ||
108 | sample processing included the use of disposable gloves and single-use | 108 | sample processing included the use of disposable gloves and single-use | ||
109 | filtration equipment to avoid any risk of contamination. Libraries | 109 | filtration equipment to avoid any risk of contamination. Libraries | ||
110 | were prepared with ligation using the MetaFast protocol | 110 | were prepared with ligation using the MetaFast protocol | ||
111 | (Fasteris).\n\nData content: \n\t* rawdata/: contains the raw reads | 111 | (Fasteris).\n\nData content: \n\t* rawdata/: contains the raw reads | ||
112 | for each individual sample. One archive contains the paired-end reads | 112 | for each individual sample. One archive contains the paired-end reads | ||
113 | specified by the _R1 or _R2 suffix as well as individually tagged PCR | 113 | specified by the _R1 or _R2 suffix as well as individually tagged PCR | ||
114 | replicates (if available) together with an archive containing all | 114 | replicates (if available) together with an archive containing all | ||
115 | extraction and PCR blank samples of the library. Reads have been | 115 | extraction and PCR blank samples of the library. Reads have been | ||
116 | demultiplexed using cutadapt but not trimmed, individual | 116 | demultiplexed using cutadapt but not trimmed, individual | ||
117 | demultiplexing tags and primers remain present in the sequences. | 117 | demultiplexing tags and primers remain present in the sequences. | ||
118 | \n\t* taxadata/: contains the table with all detected taxonomy for | 118 | \n\t* taxadata/: contains the table with all detected taxonomy for | ||
119 | each sample after bioinformatic processing (see Polanco et al. 2020 | 119 | each sample after bioinformatic processing (see Polanco et al. 2020 | ||
120 | for details; https://doi.org/10.1002/edn3.140) and associated field | 120 | for details; https://doi.org/10.1002/edn3.140) and associated field | ||
121 | metadata. \n\t* metadata/: contains two metadata files, one related to | 121 | metadata. \n\t* metadata/: contains two metadata files, one related to | ||
122 | the data collected in the field for each filter, and the second | 122 | the data collected in the field for each filter, and the second | ||
123 | related to the sequencing process in the lab (including the tag | 123 | related to the sequencing process in the lab (including the tag | ||
124 | sequence, library name, and marker information for each sample)", | 124 | sequence, library name, and marker information for each sample)", | ||
125 | "num_resources": 1, | 125 | "num_resources": 1, | ||
n | 126 | "num_tags": 7, | n | 126 | "num_tags": 8, |
127 | "organization": { | 127 | "organization": { | ||
128 | "approval_status": "approved", | 128 | "approval_status": "approved", | ||
129 | "created": "2018-12-01T11:59:01.791513", | 129 | "created": "2018-12-01T11:59:01.791513", | ||
130 | "description": "We are an international research team with diverse | 130 | "description": "We are an international research team with diverse | ||
131 | scientific expertise and backgrounds, connected by the goal to | 131 | scientific expertise and backgrounds, connected by the goal to | ||
132 | understand biodiversity. We study the mechanisms that shape | 132 | understand biodiversity. We study the mechanisms that shape | ||
133 | biodiversity patterns across spatial and temporal scales - in both | 133 | biodiversity patterns across spatial and temporal scales - in both | ||
134 | terrestrial and aquatic ecosystems -\u200bsuch as mountain ranges and | 134 | terrestrial and aquatic ecosystems -\u200bsuch as mountain ranges and | ||
135 | tropical reefs. We use an interdisciplinary approach, whereby we | 135 | tropical reefs. We use an interdisciplinary approach, whereby we | ||
136 | bridge ecology, evolution, Earth history and global change.\r\nTo make | 136 | bridge ecology, evolution, Earth history and global change.\r\nTo make | ||
137 | these connections, we collect data through biological monitoring, | 137 | these connections, we collect data through biological monitoring, | ||
138 | environmental DNA methods, remote sensing, and field sampling, and use | 138 | environmental DNA methods, remote sensing, and field sampling, and use | ||
139 | these data to answer questions with statistical and | 139 | these data to answer questions with statistical and | ||
140 | process-\u200bbased models of biological diversity.\r\nOur group is | 140 | process-\u200bbased models of biological diversity.\r\nOur group is | ||
141 | affiliated with ETH and WSL, but is also associated with Agroscope, | 141 | affiliated with ETH and WSL, but is also associated with Agroscope, | ||
142 | EAWAG, the European Joint Research Centre and Vogelwarte.", | 142 | EAWAG, the European Joint Research Centre and Vogelwarte.", | ||
143 | "id": "153392ee-d556-4b16-a330-dedb177e87f9", | 143 | "id": "153392ee-d556-4b16-a330-dedb177e87f9", | ||
144 | "image_url": | 144 | "image_url": | ||
145 | le.ethz.ch/_jcr_content/orgbox/image.imageformat.logo.1254626489.png", | 145 | le.ethz.ch/_jcr_content/orgbox/image.imageformat.logo.1254626489.png", | ||
146 | "is_organization": true, | 146 | "is_organization": true, | ||
147 | "name": "ele-group", | 147 | "name": "ele-group", | ||
148 | "state": "active", | 148 | "state": "active", | ||
149 | "title": "Ecosystems and Landscape Evolution", | 149 | "title": "Ecosystems and Landscape Evolution", | ||
150 | "type": "organization" | 150 | "type": "organization" | ||
151 | }, | 151 | }, | ||
152 | "owner_org": "153392ee-d556-4b16-a330-dedb177e87f9", | 152 | "owner_org": "153392ee-d556-4b16-a330-dedb177e87f9", | ||
153 | "private": false, | 153 | "private": false, | ||
154 | "publication": | 154 | "publication": | ||
155 | "{\"publisher\":\"EnviDat\",\"publication_year\":\"2024\"}", | 155 | "{\"publisher\":\"EnviDat\",\"publication_year\":\"2024\"}", | ||
156 | "publication_state": "published", | 156 | "publication_state": "published", | ||
157 | "related_publications": "Jaquier M., Albouy C., Bach W., Waldock C., | 157 | "related_publications": "Jaquier M., Albouy C., Bach W., Waldock C., | ||
158 | Marques V., Maire E., Juhel J.B., Andrello M., Valentini A., Manel S., | 158 | Marques V., Maire E., Juhel J.B., Andrello M., Valentini A., Manel S., | ||
159 | Dejean T., Mouillot D. and Pellissier L. Environmental DNA recovers | 159 | Dejean T., Mouillot D. and Pellissier L. Environmental DNA recovers | ||
160 | fish composition turnover of the coral reefs of West Indian Ocean | 160 | fish composition turnover of the coral reefs of West Indian Ocean | ||
161 | islands. Ecology and Evolution", | 161 | islands. Ecology and Evolution", | ||
162 | "relationships_as_object": [], | 162 | "relationships_as_object": [], | ||
163 | "relationships_as_subject": [], | 163 | "relationships_as_subject": [], | ||
164 | "resource_type": "dataset", | 164 | "resource_type": "dataset", | ||
165 | "resource_type_general": "dataset", | 165 | "resource_type_general": "dataset", | ||
166 | "resources": [ | 166 | "resources": [ | ||
167 | { | 167 | { | ||
168 | "cache_last_updated": null, | 168 | "cache_last_updated": null, | ||
169 | "cache_url": null, | 169 | "cache_url": null, | ||
170 | "created": "2024-09-23T12:26:43.285075", | 170 | "created": "2024-09-23T12:26:43.285075", | ||
171 | "description": "Please use cyberduck to download for the | 171 | "description": "Please use cyberduck to download for the | ||
172 | moment\r\n", | 172 | moment\r\n", | ||
173 | "doi": "", | 173 | "doi": "", | ||
174 | "format": "csv+fastq", | 174 | "format": "csv+fastq", | ||
175 | "hash": "", | 175 | "hash": "", | ||
176 | "id": "35c92411-841e-4131-b6db-3dfd6dd6e5c5", | 176 | "id": "35c92411-841e-4131-b6db-3dfd6dd6e5c5", | ||
177 | "last_modified": "2024-09-23T14:28:00.166000", | 177 | "last_modified": "2024-09-23T14:28:00.166000", | ||
178 | "metadata_modified": "2024-10-03T06:00:30.403580", | 178 | "metadata_modified": "2024-10-03T06:00:30.403580", | ||
179 | "mimetype": null, | 179 | "mimetype": null, | ||
180 | "mimetype_inner": null, | 180 | "mimetype_inner": null, | ||
181 | "name": "Data access", | 181 | "name": "Data access", | ||
182 | "package_id": "0bbc95ac-0e6d-4200-8ff4-2ff0a650a72c", | 182 | "package_id": "0bbc95ac-0e6d-4200-8ff4-2ff0a650a72c", | ||
183 | "position": 0, | 183 | "position": 0, | ||
184 | "publication_state": "", | 184 | "publication_state": "", | ||
185 | "resource_size": "{\"size_units\": \"gb\", \"size_value\": | 185 | "resource_size": "{\"size_units\": \"gb\", \"size_value\": | ||
186 | \"15\"}", | 186 | \"15\"}", | ||
187 | "resource_type": null, | 187 | "resource_type": null, | ||
188 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 188 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
189 | \"shared_secret\": \"\"}", | 189 | \"shared_secret\": \"\"}", | ||
190 | "size": null, | 190 | "size": null, | ||
191 | "state": "active", | 191 | "state": "active", | ||
192 | "url": | 192 | "url": | ||
193 | bucket=https://envicloud.wsl.ch/edna/&prefix=ma_fr/ma_fr_eparse_2019", | 193 | bucket=https://envicloud.wsl.ch/edna/&prefix=ma_fr/ma_fr_eparse_2019", | ||
194 | "url_type": null | 194 | "url_type": null | ||
195 | } | 195 | } | ||
196 | ], | 196 | ], | ||
197 | "spatial": | 197 | "spatial": | ||
198 | rties\":{\"name\":\"environmental-dna-marine-france-eparses-2019\"}}", | 198 | rties\":{\"name\":\"environmental-dna-marine-france-eparses-2019\"}}", | ||
199 | "state": "active", | 199 | "state": "active", | ||
200 | "subtitle": "", | 200 | "subtitle": "", | ||
201 | "tags": [ | 201 | "tags": [ | ||
202 | { | 202 | { | ||
203 | "display_name": "CORAL REEFS", | 203 | "display_name": "CORAL REEFS", | ||
204 | "id": "4921f82d-33fe-4635-b401-fe3098ec5c63", | 204 | "id": "4921f82d-33fe-4635-b401-fe3098ec5c63", | ||
205 | "name": "CORAL REEFS", | 205 | "name": "CORAL REEFS", | ||
206 | "state": "active", | 206 | "state": "active", | ||
207 | "vocabulary_id": null | 207 | "vocabulary_id": null | ||
208 | }, | 208 | }, | ||
209 | { | 209 | { | ||
t | t | 210 | "display_name": "EDNA", | ||
211 | "id": "dab1a17e-9bf9-4e0a-9a60-c3ca8f8a9154", | ||||
212 | "name": "EDNA", | ||||
213 | "state": "active", | ||||
214 | "vocabulary_id": null | ||||
215 | }, | ||||
216 | { | ||||
210 | "display_name": "ENVIRONMENTAL DNA", | 217 | "display_name": "ENVIRONMENTAL DNA", | ||
211 | "id": "db7d5622-d1fc-4d24-91f7-73842c6743b6", | 218 | "id": "db7d5622-d1fc-4d24-91f7-73842c6743b6", | ||
212 | "name": "ENVIRONMENTAL DNA", | 219 | "name": "ENVIRONMENTAL DNA", | ||
213 | "state": "active", | 220 | "state": "active", | ||
214 | "vocabulary_id": null | 221 | "vocabulary_id": null | ||
215 | }, | 222 | }, | ||
216 | { | 223 | { | ||
217 | "display_name": "FISH COMPOSITION", | 224 | "display_name": "FISH COMPOSITION", | ||
218 | "id": "4c441df2-c810-49ad-81a3-483b6a9ff2bb", | 225 | "id": "4c441df2-c810-49ad-81a3-483b6a9ff2bb", | ||
219 | "name": "FISH COMPOSITION", | 226 | "name": "FISH COMPOSITION", | ||
220 | "state": "active", | 227 | "state": "active", | ||
221 | "vocabulary_id": null | 228 | "vocabulary_id": null | ||
222 | }, | 229 | }, | ||
223 | { | 230 | { | ||
224 | "display_name": "INDIAN OCEAN", | 231 | "display_name": "INDIAN OCEAN", | ||
225 | "id": "064cc0db-d544-453d-98f9-54b9f46fba27", | 232 | "id": "064cc0db-d544-453d-98f9-54b9f46fba27", | ||
226 | "name": "INDIAN OCEAN", | 233 | "name": "INDIAN OCEAN", | ||
227 | "state": "active", | 234 | "state": "active", | ||
228 | "vocabulary_id": null | 235 | "vocabulary_id": null | ||
229 | }, | 236 | }, | ||
230 | { | 237 | { | ||
231 | "display_name": "MARINE", | 238 | "display_name": "MARINE", | ||
232 | "id": "1f05d702-5580-40ac-9c9a-47127e050fa7", | 239 | "id": "1f05d702-5580-40ac-9c9a-47127e050fa7", | ||
233 | "name": "MARINE", | 240 | "name": "MARINE", | ||
234 | "state": "active", | 241 | "state": "active", | ||
235 | "vocabulary_id": null | 242 | "vocabulary_id": null | ||
236 | }, | 243 | }, | ||
237 | { | 244 | { | ||
238 | "display_name": "SCATTERED ISLAND.", | 245 | "display_name": "SCATTERED ISLAND.", | ||
239 | "id": "08c63f0a-5639-4c3f-8347-c6db8c149374", | 246 | "id": "08c63f0a-5639-4c3f-8347-c6db8c149374", | ||
240 | "name": "SCATTERED ISLAND.", | 247 | "name": "SCATTERED ISLAND.", | ||
241 | "state": "active", | 248 | "state": "active", | ||
242 | "vocabulary_id": null | 249 | "vocabulary_id": null | ||
243 | }, | 250 | }, | ||
244 | { | 251 | { | ||
245 | "display_name": "TELEO", | 252 | "display_name": "TELEO", | ||
246 | "id": "d67a8d9b-568f-45dc-ac71-fd05228faa6b", | 253 | "id": "d67a8d9b-568f-45dc-ac71-fd05228faa6b", | ||
247 | "name": "TELEO", | 254 | "name": "TELEO", | ||
248 | "state": "active", | 255 | "state": "active", | ||
249 | "vocabulary_id": null | 256 | "vocabulary_id": null | ||
250 | } | 257 | } | ||
251 | ], | 258 | ], | ||
252 | "title": "Environmental DNA Marine France Eparses 2019", | 259 | "title": "Environmental DNA Marine France Eparses 2019", | ||
253 | "type": "dataset", | 260 | "type": "dataset", | ||
254 | "url": null | 261 | "url": null | ||
255 | } | 262 | } |