Evidence map›Paper›PMID 27328160›Full record

ArticleScientific data2016

A lake data set for the Tibetan Plateau from the 1960s, 2005, and 2014.

Wei Wan, Di Long, Yang Hong, Yingzhao Ma, Yuan Yuan, Pengfeng Xiao, Hongtao Duan, Zhongying Han, Xingfa Gu

Erratum issuedAbstract read
In one paragraph

Article in Scientific data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Wei WanState Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China.
Di LongState Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China.
Yang HongState Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China.
Yingzhao MaState Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China.
Yuan YuanSchool of Geosciences, China University of Petroleum, Qingdao 266580, China.
Pengfeng XiaoDepartment of Geographical Information Science, Nanjing University, Nanjing 210023, China.
Hongtao DuanState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Zhongying HanState Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China.
Xingfa GuInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term datasets of number and size of lakes over the Tibetan Plateau (TP) are among the most critical components for better understanding the interactions among the cryosphere, hydrosphere, and atmosphere at regional and global scales. Due to the harsh environment and the scarcity of data over the TP, data accumulation and sharing become more valuable for scientists worldwide to make new discoveries in this region. This paper, for the first time, presents a comprehensive and freely available data set of lakes' status (name, location, shape, area, perimeter, etc.) over the TP region dating back to the 1960s, including three time series, i.e., the 1960s, 2005, and 2014, derived from ground survey (the 1960s) or high-spatial-resolution satellite images from the China-Brazil Earth Resources Satellite (CBERS) (2005) and China's newly launched GaoFen-1 (GF-1, which means high-resolution images in Chinese) satellite (2014). The data set could provide scientists with useful information for revealing environmental changes and mechanisms over the TP region.

Identifiers

PMID27328160
PMCPMC4915272

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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.