Evidence map›Paper›PMID 41826398›Full record

ArticleScientific data2026

Low-Frequency Data Processing and Characteristics of Tianwen-1 Mars Rover Penetrating Radar.

Jianhui Li, Zhijie Chen, Xu Meng, Hai Liu, Diwen Duan, Haijing Lu

Abstract read
In one paragraph

Article in Scientific data, 2026. 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

6 authors.

Jianhui LiSchool of Civil Engineering and Transportation, Guangzhou University, Guangzhou, 510006, China.
Zhijie ChenSchool of Civil Engineering and Transportation, Guangzhou University, Guangzhou, 510006, China.
Xu MengSchool of Civil Engineering and Transportation, Guangzhou University, Guangzhou, 510006, China. xumeng@gzhu.edu.cn.
Hai LiuSchool of Civil Engineering and Transportation, Guangzhou University, Guangzhou, 510006, China. hliu@gzhu.edu.cn.
Diwen DuanSchool of Civil Engineering and Transportation, Guangzhou University, Guangzhou, 510006, China.
Haijing LuSchool of Civil Engineering and Transportation, Guangzhou University, Guangzhou, 510006, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 41874120
6 · The paper itself

Abstract

In 2021, China's first Mars rover Zhurong successfully landed on the southern Utopia Planitia (109.925°E, 25.066°N) and began its exploration. The low-frequency channel (15-95 MHz) of Mars Rover Penetrating Radar (RoPeR) has capability to explore the Martian subsurface down to approximately 100 m, making it possible to investigate the past geological activities. Here, we provide a RoPeR low-frequency channel dataset that have undergone pre-processing, partial processing, and complete processing to users and can be directly applied for analysis, interpretation and inversion. The dataset also contains the information of 76 subsurface dipping reflectors that dip toward the northern lowlands at depths of 10-35 m. These reflectors show inclinations ranging from 6° to 20° with an average value of 14.5° and standard deviation of 2.9°. This dataset can promote further research on the formation and evolution of Martian ancient ocean.

Identifiers

PMID41826398
PMCPMC13125483

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Registered trials

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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.