Evidence map›Paper›PMID 39900940›Full record

ArticleScientific data2025

Representative Metagenomes of Mesophilic Biogas Reactor Across South Korea.

Darsha Prabhaharan, Young Wook Go, Hyunjin Kim, Seongcheol Kang, Byoung-In Sang

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Darsha PrabhaharanDepartment of Chemical Engineering, Hanyang University, 222 Wangsimniro, Seongdong-gu, Seoul, 04763, Republic of Korea.
Young Wook GoDepartment of Chemical Engineering, Hanyang University, 222 Wangsimniro, Seongdong-gu, Seoul, 04763, Republic of Korea.
Hyunjin KimDepartment of Geosciences, University of Tübingen, Schnarrenbergstraße 94-96, 72076, Tübingen, Germany.
Seongcheol KangDepartment of Chemical Engineering, Hanyang University, 222 Wangsimniro, Seongdong-gu, Seoul, 04763, Republic of Korea.
Byoung-In SangDepartment of Chemical Engineering, Hanyang University, 222 Wangsimniro, Seongdong-gu, Seoul, 04763, Republic of Korea. biosang@hanyang.ac.kr.

Funding

MOE | Korea Environmental Industry and Technology Institute (KEITI) MOE; 2022003480001
6 · The paper itself

Abstract

Biogas production through the anaerobic digestion (AD) of organic waste plays a crucial role in promoting sustainability and closing the carbon cycle. Over the past decade, this has driven global research on biogas-producing microbiomes, leading to significant advances in our understanding of microbial diversity and metabolic pathways within AD plants. However, substantial knowledge gaps persist, particularly in understanding the specific microbial communities involved in biogas production in countries such as South Korea. The present dataset addresses one of these gaps by providing comprehensive information on the metagenomes of five full-scale mesophilic biogas reactors in South Korea. From 110 GB of raw DNA sequences, 401 metagenome-assembled genomes (MAGs) were created, which include 42,301 annotated genes. Of these, 187 MAGs (46.7%) were classified as high-quality based on Minimum Information about Metagenome-Assembled Genome (MIMAG) standards. The data presented here contribute to a broader understanding of biogas-specific microbial communities and offers a significant resource for future studies and advancements in sustainable biogas production.

Indexed as

BiofuelsBioreactorsMetagenomeMicrobiotaAnaerobiosisRepublic of KoreaBiofuels

Identifiers

PMID39900940
PMCPMC11791102

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.