Sea-ice meiofauna biodiversity from the Nansen Legacy cruise Q2 (cruise number: 2021704)

サンプリング イベント
最新バージョン The Nansen Legacy Project により出版 9月 21, 2023 The Nansen Legacy Project
公開日:
2023年9月21日
ライセンス:
CC-BY 4.0

DwC-A形式のリソース データまたは EML / RTF 形式のリソース メタデータの最新バージョンをダウンロード:

DwC ファイルとしてのデータ ダウンロード 29 レコード English で (13 KB) - 更新頻度: not planned
EML ファイルとしてのメタデータ ダウンロード English で (22 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (12 KB)

説明

The data was collected during the Nansen Legacy seasonal study (Q2, cruise number: 2021704) from 27.04 - 20.05.2021 onboard the research vessel RV Kronprins Haakon, along a transect in the northern Barents Sea from 76N to 82N. The dataset contains abundance and biomass of sea-ice meiofauna (> 20 µm) including large protists such as foraminifers and ciliates and metazoans eggs. Sea-ice meiofauna were identified and counted with stereo microscopy and result are given as Individuals per liter (cells/L) and Individuals per square meter (Ind/m2). Biomass (μg C Ind.-1) was only determined for alive individuals according to carbon contents for ice meiofauna taxa based on literature summarized in Ehrlich et al. (2021, doi: https://doi.org/10.1525/elementa.2020.00169), and carbon values for foraminifers were provided by de Freitas et al. (2021) for benthic species (Bolivinia sp.: 0.00875 μg C Ind.-1; Elphidium sp.: 0.126 μg C Ind.-1, https://doi.org/10.2113/gsjfr.51.4.249) and Anglada-Ortiz et al. (submitted to PiO) for the pelagic species Neogloboquadrina pachyderma (0.0013 μg C Ind.-1).

データ レコード

この sampling event 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、29 レコードが含まれています。

拡張データ テーブルは2 件存在しています。拡張レコードは、コアのレコードについての追加情報を提供するものです。 各拡張データ テーブル内のレコード数を以下に示します。

Event (コア)
29
ExtendedMeasurementOrFact 
135
Occurrence 
87

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。:

Marquardt M, Bluhm B, Gradinger R (2023). Sea-ice meiofauna biodiversity from the Nansen Legacy cruise Q2 (cruise number: 2021704). Version 1.6. The Nansen Legacy Project. Samplingevent dataset. DOI: 10.11582/2023.00082

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 Nansen Legacy Project。 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: a22bfeb3-ea39-43cb-ac93-ee8f7f9ddc66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 Nansen Legacy Project が、このリソースをパブリッシュしました。

キーワード

Samplingevent; sea-ice protist; sea-ice meiofauna; sympagic; northern Barents Sea; sea ice

連絡先

Miriam Marquardt
  • 最初のデータ採集者
  • データ利用者
  • 連絡先
Chief engineer
UiT Arctic University of Norway
Tromsø
NO
Bodil Bluhm
  • 最初のデータ採集者
Professor
UiT Arctic University of Norway
Tromsø
NO
Rolf Gradinger
  • 最初のデータ採集者
Professor
UiT Arctic University of Norway
Tromsø
NO

地理的範囲

The data was collected during the Nansen Legacy seasonal study (Q2, cruise number: 2021704) from 27.04 - 20.05.2021 onboard the research vessel RV Kronprins Haakon, along a transect in the northern Barents Sea from 76N to 82N.

座標(緯度経度) 南 西 [79.678, 28.696], 北 東 [82.227, 33.622]

生物分類学的範囲

N/A

Kingdom Chromista, Animalia
Phylum Arthropoda, Foraminifera, Rotifera, Ciliophora
Class Litostomatea, Spirotrichea, Copepoda, Malacostraca, Eurotatoria, Globothalamea
Order Rotaliida, Haptorida, Euplotida, Amphipoda, Ploima
Family Didiniidae, Synchaetidae, Euplotidae, Bolivinitidae, Calliopiidae

時間的範囲

開始日 / 終了日 2021-05-05 / 2021-05-13

プロジェクトデータ

The Nansen Legacy is a novel and holistic Arctic research project providing integrated scientific knowledge on the rapidly changing marine climate and ecosystem. A new knowledge base is required to facilitate a sustainable management of the northern Barents Sea and adjacent Arctic Basin through the 21st century. The Nansen Legacy unites about 280 researchers, students, and technicians from ten Norwegian research institutions. The research team includes interdisciplinary arctic marine expertise within physical, chemical, and biological oceanography, as well as geologists, modelers and underwater robotic engineers. Jointly we investigate the past, present and future climate and ecosystem of the northern Barents Sea. In total, the project has spent over 350 days at sea between 2018 and 2022, using the new Norwegian research icebreaker ‘Kronprins Haakon’ as main research platform. The ship-based sampling is complemented by the use of underwater robotics, year-round moored observing platforms and satellite-based observations. Complementary model tools are used to integrate field-based observations, and to investigate the dynamics of the physical and biological components of the northern Barents Sea climate and ecosystem at present and in the future. The Nansen Legacy is home to over 70 early career scientists, providing them with a unique collaborative community and supervision across institutions and disciplines. This gives rise to a new generation of holistic thinking Arctic research leaders. The Nansen Legacy runs for seven years (2018–2024), and is funded by the Research Council of Norway and the Norwegian Ministry of Education and Research. They provide 50% of the budget while the participating institutions contribute 50% in-kind. The total budget for the Nansen Legacy project is 740 mill. NOK.

タイトル The Nansen Legacy
識別子 AeN
ファンデイング This study was funded by the Research Council of Norway through the project The Nansen Legacy (RCN # 276730).
Study Area Description Northwestern Barents Sea https://arvenetternansen.com/the-barents-sea/
研究の意図、目的、背景など(デザイン) Our study goals were to characterize sea ice related biota including uni- and multicellular heterotrophs over the entire seasonal cycle, along a latitudinal gradient in the northwestern Barents Sea. Nansen Legacy goals: https://arvenetternansen.com/our-goals/

収集方法

At ice covered stations, ice cores were taken for the determination of abundance and biomass of sea-ice meiofauna and protists (lowermost 30 cm). Ice cores were taken from undeformed level ice areas with a KOVACS ice corer (Mark II coring system, diameter 9 cm) and were cut on a cutting board into the following sections, given as distance from the ice-water interface: 0-3 cm (bottom ice layer), 3-10 cm, 10-20 cm, 20-30 cm. All sea-ice core sections were melted in the dark and at 4°C within 24-28 h to and to reduce negative impacts related to osmotic stress 100 ml filtered seawater (< 0.22 µm) was initially added per 1 cm section. More detailed sampling procedure you find in the Nansen Legacy sampling protocol V10 chapter 14: Link: https://septentrio.uit.no/index.php/nansenlegacy/article/view/6684 Citation: The Nansen Legacy (2022). Sampling Protocols: Version 10. The Nansen Legacy Report Series 32/2022. DOI: https://doi.org/10.7557/nlrs.6684

Study Extent The data was collected during the Nansen Legacy seasonal study (Q2, cruise number: 2021704) from 27.04 - 20.05.2021 onboard the research vessel RV Kronprins Haakon, along a transect in the northern Barents Sea from 76N to 82N. Ice cores were taken at three ice covered station.

Method step description:

  1. Sea-ice meiofauna were identified and counted with stereo microscopy and result are given as Individuals per liter (cells/L) and Individuals per square meter (Ind/m2). Biomass (μg C Ind.-1) was only determined for alive individuals according to carbon contents for ice meiofauna taxa based on literature summarized in Ehrlich et al. (2021, doi: https://doi.org/10.1525/elementa.2020.00169), and carbon values for foraminifers were provided by de Freitas et al. (2021) for benthic species (Bolivinia sp.: 0.00875 μg C Ind.-1; Elphidium sp.: 0.126 μg C Ind.-1, https://doi.org/10.2113/gsjfr.51.4.249) and Anglada-Ortiz et al. (submitted to PiO) for the pelagic species Neogloboquadrina pachyderma (0.0013 μg C Ind.-1).

コレクションデータ

コレクション名 Sea-ice meiofauna biodiversity Q2
コレクション識別子 symmeioQ2
標本保存方法 Formalin,  Alcohol

追加のメタデータ

代替識別子 a22bfeb3-ea39-43cb-ac93-ee8f7f9ddc66
https://ipt.gbif.no/resource?r=symmeio_q2