説明
データ レコード
この オカレンス（観察データと標本) リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、68 レコードが含まれています。
この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。
バージョン
次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。
引用方法
研究者はこの研究内容を以下のように引用する必要があります。:
Sen A, Caudan C, Rodés N, Hong W L, ten Hietbrink S, Szymczycha B, Diak M, Broms F, Knies J (2026). Epimegabenthos based on seafloor georeferenced mosaics of the Hornsundbanken methane seep area. Version 1.1. The University Centre in Svalbard. Occurrence dataset. https://ipt.gbif.no/resource?r=epimegabenthos_hornsundbanken_seep&v=1.1
権利
研究者は権利に関する下記ステートメントを尊重する必要があります。:
パブリッシャーとライセンス保持者権利者は The University Centre in Svalbard。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF登録
このリソースをはGBIF と登録されており GBIF UUID: 11cd1b4f-0d2e-418b-8b22-5e00f2308187が割り当てられています。 GBIF Norway によって承認されたデータ パブリッシャーとして GBIF に登録されているThe University Centre in Svalbard が、このリソースをパブリッシュしました。
キーワード
Occurrence
連絡先
- 論文著者
- Associate Professor
- 最初のデータ採集者
- student
- 最初のデータ採集者
- engineer
- 最初のデータ採集者
- Associate Professor
- 最初のデータ採集者
- student
- 最初のデータ採集者
- Associate Professor
- 最初のデータ採集者
- Researcher
- 最初のデータ採集者
- Researcher
- 最初のデータ採集者
- Researcher
地理的範囲
Continental shelf off the Hornsund fjord of Svalbard, known as Hornsundbanken
| 座標（緯度経度） | 南 西 [76.791, 14.159], 北 東 [76.793, 14.168] |
|---|
生物分類学的範囲
N/A
| Phylum | Chordata, Mollusca, Arthropoda, Porifera, Nemertea, Cnidaria, Annelida, Echinodermata |
|---|
時間的範囲
| 開始日 | 2023-03-06 |
|---|
プロジェクトデータ
Epimegabenthic fauna marked in a GIS (Geographic Information System) from two georeferenced mosaics constructed from still images obtained from ROV (remotely operated vechicle) video.
| タイトル | Epimegabenthos based on seafloor georeferenced mosaics of the Hornsundbanken methane seep area |
|---|---|
| ファンデイング | Arctic SGD (Submarine groundwater discharge) project (The Norwegian Financial Mechanism 2014-2021, project number 019/34/H/ ST10/00645 and 2019/34/H/ST10/00504). |
プロジェクトに携わる要員:
https://orcid.org/https://orcid.org/0000-0001-7847-2137
収集方法
Numerous gas flares (gas bubbles escaping from the seafloor) have been detected acoustically on the shelf off the Hornsund fjord of Svalbard (known as Hornsundbanken). Using the remotely operated vehicle (ROV) Ægir from the research vessel Kronprins Haakon, video of the seafloor was recorded, maintaining an altitude of about 1-1.5 m. The HD video camera of the ROV was facing directly downwards (perpendicular to the seafloor) for the imaging process. Video acquisition was performed in a lawn-mower pattern, ensuring at least 25% overlap between adjacent lines. Images were extracted from the video every 2 seconds using the free software, ffmpeg. Navigation coordinates for each image were obtained from the ROV's track. These images were stitched together to create a single, composite georeferenced image (mosaic) of the seafloor. For this, structure-from-motion photogrammetry processing was conducted using Agisoft Metashape (version 2.0.2, build number 16334). Two digital models were constructed, covering a total area of 446 m². The georeferenced mosaics were imported into ArcMap Desktop version 10.8.2 and all visible fauna were marked with the Editor tool. Individual organisms were marked as points (point feature class). Colonial or encrusting organisms were outlined to get areal coverages (polygon feature classes). Identification was done to lowest taxonomic level as possible, which was species in some cases, but often reliable identification was limited to higher levels such as genus or family and in certain cases, only phylum level.
| Study Extent | Two locations within an area of active methane seepage on the seafloor on the continental shelf off the Hornsund fjord of Svalbard (Hornsundbanken). |
|---|
Method step description:
- Video imaging of the seafloor was conducted via the downward facing HD camera on the ROV. Overlap was maintained between adjacent video lines. Images were extracted from the video every three seconds and in combination with the corresponding navigation data for the images, a single, composite, georeferenced image (mosaic) was created via Agisoft's Metashape software. Two mosaics were generated. The mosaics were inputted into ArcMap Desktop and all visible features and fauna were marked and enumerated.