Evidence map›Paper›PMID 37737276›Full record

ArticleScientific data2023

Metagenomic data from surface seawater of the east coast of South Korea.

Yeonjung Lim, Seung-Jo Yang, Ilnam Kang, Jang-Cheon Cho

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yeonjung LimCenter for Molecular and Cell Biology, Inha University, Inha-ro 100, Incheon, 22212, Republic of Korea.
Seung-Jo YangCJ Bioscience, Inc., Sejong-daero 14, Seoul, 04527, Republic of Korea.
Ilnam KangCenter for Molecular and Cell Biology, Inha University, Inha-ro 100, Incheon, 22212, Republic of Korea. ikang@inha.ac.kr.ORCID http://orcid.org/0000-0003-2815-1735
Jang-Cheon ChoDepartment of Biological Sciences and Bioengineering, Inha University, Inha-ro 100, Incheon, 22212, Republic of Korea. chojc@inha.ac.kr.ORCID http://orcid.org/0000-0002-0666-3791

Funding

Korea Institute of Marine Science and Technology promotion (Korea Institute of Marine Science & Technology promotion) KIMST-20210646National Research Foundation of Korea (NRF) 2022R1A2C3008502National Research Foundation of Korea (NRF) 2022R1A6A3A01087360
6 · The paper itself

Abstract

The East Sea, also known as the Sea of Japan, is a marginal sea located in the western Pacific Ocean, displaying comparable characteristics to Earth's oceans, thereby meriting its recognition as a "miniature ocean". The East Sea exhibits a range of annually-recurring biogeochemical features in accordance with seasonal fluctuations, such as phytoplankton blooms during the spring and autumn seasons. Despite ongoing monitoring efforts focused on water quality and physicochemical parameters, the investigation of prokaryotic assemblages in the East Sea, encompassing seasonal variations, has been infrequently pursued. Here, we present a monthly time-series metagenomic dataset spanning a one-year period in 2009, obtained from surface (10 m) seawater samples collected off the coast of the East Sea. The dataset encompasses 12 metagenomes, amounting 195 Gbp, with 14.73-22.52 Gbp per sample. This dataset is accompanied by concurrently measured physicochemical parameters. Our anticipation is that these metagenomes will facilitate extensive investigations aimed at elucidating various aspects of the marine microbial ecosystems in the East Sea.

Indexed as

EcosystemMetagenomeRepublic of KoreaSeawater

Identifiers

PMID37737276
PMCPMC10517112

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.