Changes
On September 14, 2026, 12:25:14 PM UTC, default:
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Changed the version of Benguela Phytoplankton 2020 to 4 (previously 1)
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Uploaded a new file to resource All Data_RepositoryJuly2023.xlsx in Benguela Phytoplankton 2020
| f | 1 | { | f | 1 | { |
| 2 | "author": null, | 2 | "author": null, | ||
| 3 | "author_email": null, | 3 | "author_email": null, | ||
| 4 | "code": "7b.b.kf", | 4 | "code": "7b.b.kf", | ||
| 5 | "contributor": "NIOZ Royal Netherlands Institute for Sea Research", | 5 | "contributor": "NIOZ Royal Netherlands Institute for Sea Research", | ||
| 6 | "creator_user_id": "30bfd52e-7251-4902-824c-0e433596cc92", | 6 | "creator_user_id": "30bfd52e-7251-4902-824c-0e433596cc92", | ||
| 7 | "creators": | 7 | "creators": | ||
| 8 | Puccinelli\",\"orcid\":\"0000-0002-6144-6650\",\"affiliation\":\"Royal | 8 | Puccinelli\",\"orcid\":\"0000-0002-6144-6650\",\"affiliation\":\"Royal | ||
| 9 | Netherlands Institute for Sea | 9 | Netherlands Institute for Sea | ||
| 10 | hor\":true,\"contactemailaddress\":\"eleonora.puccinelli@nioz.nl\"}]", | 10 | hor\":true,\"contactemailaddress\":\"eleonora.puccinelli@nioz.nl\"}]", | ||
| 11 | "dataset_persistent_id": "DOI:10.25850/nioz/7b.b.kf", | 11 | "dataset_persistent_id": "DOI:10.25850/nioz/7b.b.kf", | ||
| 12 | "deposit_date": "2023-07-17", | 12 | "deposit_date": "2023-07-17", | ||
| 13 | "depositor": "Eleonora Puccinelli", | 13 | "depositor": "Eleonora Puccinelli", | ||
| 14 | "distribution_date": "2023-07-17", | 14 | "distribution_date": "2023-07-17", | ||
| 15 | "distributor": "Research Data Management(NIOZ Royal Netherlands | 15 | "distributor": "Research Data Management(NIOZ Royal Netherlands | ||
| 16 | Institute for Sea Research)", | 16 | Institute for Sea Research)", | ||
| 17 | "doi_date_published": "2023-07-17", | 17 | "doi_date_published": "2023-07-17", | ||
| 18 | "funding_references": | 18 | "funding_references": | ||
| 19 | ame\":\"ANR\",\"awardnumber\":\"17-EURE-0015\",\"awardtitle\":\"ISblue | 19 | ame\":\"ANR\",\"awardnumber\":\"17-EURE-0015\",\"awardtitle\":\"ISblue | ||
| 20 | project, Interdisciplinary graduate school for the blue | 20 | project, Interdisciplinary graduate school for the blue | ||
| 21 | planet\",\"formatted\":\"ANR - 17-EURE-0015 - ISblue project, | 21 | planet\",\"formatted\":\"ANR - 17-EURE-0015 - ISblue project, | ||
| 22 | Interdisciplinary graduate school for the blue | 22 | Interdisciplinary graduate school for the blue | ||
| 23 | ,{\"name\":\"SANRF\",\"awardnumber\":\"115335\",\"awardtitle\":\"South | 23 | ,{\"name\":\"SANRF\",\"awardnumber\":\"115335\",\"awardtitle\":\"South | ||
| 24 | African National Research Foundation\",\"formatted\":\"SANRF - 115335 | 24 | African National Research Foundation\",\"formatted\":\"SANRF - 115335 | ||
| 25 | - South African National Research | 25 | - South African National Research | ||
| 26 | ,{\"name\":\"SANRF\",\"awardnumber\":\"116142\",\"awardtitle\":\"South | 26 | ,{\"name\":\"SANRF\",\"awardnumber\":\"116142\",\"awardtitle\":\"South | ||
| 27 | African National Research Foundation\",\"formatted\":\"SANRF - 116142 | 27 | African National Research Foundation\",\"formatted\":\"SANRF - 116142 | ||
| 28 | - South African National Research | 28 | - South African National Research | ||
| 29 | ,{\"name\":\"SANRF\",\"awardnumber\":\"129320\",\"awardtitle\":\"South | 29 | ,{\"name\":\"SANRF\",\"awardnumber\":\"129320\",\"awardtitle\":\"South | ||
| 30 | African National Research Foundation\"}]", | 30 | African National Research Foundation\"}]", | ||
| 31 | "groups": [], | 31 | "groups": [], | ||
| 32 | "id": "2d670883-b5af-4b15-bce7-e84a033d3e65", | 32 | "id": "2d670883-b5af-4b15-bce7-e84a033d3e65", | ||
| 33 | "isopen": true, | 33 | "isopen": true, | ||
| 34 | "license_id": "CC0-1.0", | 34 | "license_id": "CC0-1.0", | ||
| 35 | "license_title": "CC0 1.0", | 35 | "license_title": "CC0 1.0", | ||
| 36 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | 36 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | ||
| 37 | "maintainer": null, | 37 | "maintainer": null, | ||
| 38 | "maintainer_email": null, | 38 | "maintainer_email": null, | ||
| 39 | "metadata_created": "2024-10-22T11:52:46.850391", | 39 | "metadata_created": "2024-10-22T11:52:46.850391", | ||
| n | 40 | "metadata_modified": "2024-10-22T20:55:57.851832", | n | 40 | "metadata_modified": "2026-09-14T12:25:14.749169", |
| 41 | "name": "7bbkf", | 41 | "name": "7bbkf", | ||
| 42 | "notes": "The Benguela Upwelling System (BUS) is one of the | 42 | "notes": "The Benguela Upwelling System (BUS) is one of the | ||
| 43 | world\u2019s most productive ecosystems, supporting globally-relevant | 43 | world\u2019s most productive ecosystems, supporting globally-relevant | ||
| 44 | fisheries. The BUS marine community is modulated by the availability | 44 | fisheries. The BUS marine community is modulated by the availability | ||
| 45 | of nutrients and omega-3 long chain polyunsaturated fatty acid | 45 | of nutrients and omega-3 long chain polyunsaturated fatty acid | ||
| 46 | (hereafter, LC omega-3). Phytoplankton growth in the BUS can be | 46 | (hereafter, LC omega-3). Phytoplankton growth in the BUS can be | ||
| 47 | supported by upwelled nitrate, a new nitrogen (N) source to the | 47 | supported by upwelled nitrate, a new nitrogen (N) source to the | ||
| 48 | surface, or by recycled N such as ammonium. Preferential assimilation | 48 | surface, or by recycled N such as ammonium. Preferential assimilation | ||
| 49 | of one N source over another may yield differences in LC omega-3 | 49 | of one N source over another may yield differences in LC omega-3 | ||
| 50 | production between high and low food-quality species. To evaluate how | 50 | production between high and low food-quality species. To evaluate how | ||
| 51 | upwelling and the N source(s) consumed by phytoplankton influence LC | 51 | upwelling and the N source(s) consumed by phytoplankton influence LC | ||
| 52 | omega-3 production, we sampled a BUS anchor station daily for 10 days. | 52 | omega-3 production, we sampled a BUS anchor station daily for 10 days. | ||
| 53 | Upwelling on days 5-7 supplied high concentrations of nutrients to the | 53 | Upwelling on days 5-7 supplied high concentrations of nutrients to the | ||
| 54 | surface, while pre- and post-upwelling, surface waters were stratified | 54 | surface, while pre- and post-upwelling, surface waters were stratified | ||
| 55 | and nutrient concentrations were low. LC omega-3 and phytoplankton | 55 | and nutrient concentrations were low. LC omega-3 and phytoplankton | ||
| 56 | concentrations were near-zero during upwelling, and elevated pre- and | 56 | concentrations were near-zero during upwelling, and elevated pre- and | ||
| 57 | post-upwelling. Throughout our sampling, nanoplankton (2.7-10\u00b5m) | 57 | post-upwelling. Throughout our sampling, nanoplankton (2.7-10\u00b5m) | ||
| 58 | dominated primary production (30-95%), relying mainly on nitrate to | 58 | dominated primary production (30-95%), relying mainly on nitrate to | ||
| 59 | support their growth. Surface LC omega-3 concentrations reached peaks | 59 | support their growth. Surface LC omega-3 concentrations reached peaks | ||
| 60 | of 215 and 175 \u00b5gL-1 pre- and post-upwelling, up to 10-times | 60 | of 215 and 175 \u00b5gL-1 pre- and post-upwelling, up to 10-times | ||
| 61 | higher than previous measurements from the BUS (<5 \u00b5gL-1). | 61 | higher than previous measurements from the BUS (<5 \u00b5gL-1). | ||
| 62 | Pre-upwelling, non-diatom trophic markers (18:1n-9,18:4n-3,18:5n-3) | 62 | Pre-upwelling, non-diatom trophic markers (18:1n-9,18:4n-3,18:5n-3) | ||
| 63 | were dominant, with a switch over just two days to diatom trophic | 63 | were dominant, with a switch over just two days to diatom trophic | ||
| 64 | markers post-upwelling (16:1n-7,16:2n-4,16:2n-7,16:3n-4,16:4n-1). This | 64 | markers post-upwelling (16:1n-7,16:2n-4,16:2n-7,16:3n-4,16:4n-1). This | ||
| 65 | study reveals the key role of upwelling in promoting phytoplankton LC | 65 | study reveals the key role of upwelling in promoting phytoplankton LC | ||
| 66 | omega-3 production, which is tightly coupled to the supply of new | 66 | omega-3 production, which is tightly coupled to the supply of new | ||
| 67 | nitrate. Additionally, the high observed LC omega-3 concentrations | 67 | nitrate. Additionally, the high observed LC omega-3 concentrations | ||
| 68 | suggest that global LC omega-3 production is underestimated.", | 68 | suggest that global LC omega-3 production is underestimated.", | ||
| 69 | "num_resources": 1, | 69 | "num_resources": 1, | ||
| 70 | "num_tags": 6, | 70 | "num_tags": 6, | ||
| 71 | "organization": { | 71 | "organization": { | ||
| 72 | "approval_status": "approved", | 72 | "approval_status": "approved", | ||
| 73 | "created": "2024-10-22T06:06:56.074257", | 73 | "created": "2024-10-22T06:06:56.074257", | ||
| 74 | "description": "", | 74 | "description": "", | ||
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| 78 | "is_organization": true, | 77 | "is_organization": true, | ||
| 79 | "name": "nioz", | 78 | "name": "nioz", | ||
| 80 | "state": "active", | 79 | "state": "active", | ||
| 81 | "title": "Royal Netherlands Institute for Sea Research", | 80 | "title": "Royal Netherlands Institute for Sea Research", | ||
| 82 | "type": "organization" | 81 | "type": "organization" | ||
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| 85 | "private": false, | 84 | "private": false, | ||
| 86 | "production_date": "2023-07-17", | 85 | "production_date": "2023-07-17", | ||
| 87 | "relationships_as_object": [], | 86 | "relationships_as_object": [], | ||
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| 116 | "tags": [ | 115 | "tags": [ | ||
| 117 | { | 116 | { | ||
| 118 | "display_name": "fatty acid", | 117 | "display_name": "fatty acid", | ||
| 119 | "id": "168d68dd-2d2d-4a1a-8412-ecd425246687", | 118 | "id": "168d68dd-2d2d-4a1a-8412-ecd425246687", | ||
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| 127 | "name": "flow cytometry", | 126 | "name": "flow cytometry", | ||
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| 129 | "vocabulary_id": null | 128 | "vocabulary_id": null | ||
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| 137 | }, | 136 | }, | ||
| 138 | { | 137 | { | ||
| 139 | "display_name": "phytoplankton", | 138 | "display_name": "phytoplankton", | ||
| 140 | "id": "2ae8bda3-1ce3-48af-b132-b238d36e9d3c", | 139 | "id": "2ae8bda3-1ce3-48af-b132-b238d36e9d3c", | ||
| 141 | "name": "phytoplankton", | 140 | "name": "phytoplankton", | ||
| 142 | "state": "active", | 141 | "state": "active", | ||
| 143 | "vocabulary_id": null | 142 | "vocabulary_id": null | ||
| 144 | }, | 143 | }, | ||
| 145 | { | 144 | { | ||
| 146 | "display_name": "stable isotope", | 145 | "display_name": "stable isotope", | ||
| 147 | "id": "2110dd82-4b20-43ba-8f7b-ffdeb4e8cf19", | 146 | "id": "2110dd82-4b20-43ba-8f7b-ffdeb4e8cf19", | ||
| 148 | "name": "stable isotope", | 147 | "name": "stable isotope", | ||
| 149 | "state": "active", | 148 | "state": "active", | ||
| 150 | "vocabulary_id": null | 149 | "vocabulary_id": null | ||
| 151 | }, | 150 | }, | ||
| 152 | { | 151 | { | ||
| 153 | "display_name": "upwelling", | 152 | "display_name": "upwelling", | ||
| 154 | "id": "e9535f7d-f49d-4fd9-921f-b681208a3625", | 153 | "id": "e9535f7d-f49d-4fd9-921f-b681208a3625", | ||
| 155 | "name": "upwelling", | 154 | "name": "upwelling", | ||
| 156 | "state": "active", | 155 | "state": "active", | ||
| 157 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
| 158 | } | 157 | } | ||
| 159 | ], | 158 | ], | ||
| 160 | "title": "Benguela Phytoplankton 2020", | 159 | "title": "Benguela Phytoplankton 2020", | ||
| 161 | "type": "dataset", | 160 | "type": "dataset", | ||
| 162 | "url": "https://dataportal.nioz.nl/doi/10.25850/nioz/7b.b.kf", | 161 | "url": "https://dataportal.nioz.nl/doi/10.25850/nioz/7b.b.kf", | ||
| t | 163 | "version": "1" | t | 162 | "version": "4" |
| 164 | } | 163 | } |