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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Dataset . 2019
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ZENODO
Dataset . 2020
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Dataset . 2020
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Dataset . 2020
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ZENODO
Dataset . 2020
License: CC BY
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Dataset . 2020
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Dataset . 2020
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Dataset . 2020
License: CC BY
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ScholarBank@NUS
Dataset . 2020
License: CC BY NC
ScholarBank@NUS
Dataset . 2020
License: CC BY NC
Data sources: Datacite
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addClaim

NUS Republican China Weather Database

Authors: Png Paak Liang Ivan; Chen Yeh-ning; Chu Junhong; Feng Yikang;

NUS Republican China Weather Database

Abstract

This project compiled 463,530 instrumental observations of daily temperature, precipitation, and sunshine at up to 319 stations in China between 1912-51. The principal sources are monthly reports of the Institute of Meteorology, Nanjing, observatories in Japanese-occupied Manchuria, and the Japanese Army in North China. Gross errors, rounding errors, and inhomogeneities are identified. The new dataset is temporally and spatially consistent with existing datasets of monthly temperature, but reports higher precipitation and sunshine. Please refer to the readme.txt in the zipped file for terms of use and description of individual files in the dataset. Please ensure the related paper is cited appropriately when reusing this dataset: Png Paak Liang Ivan, Chen Yeh-Ning, Chu Junhong, Feng Yikang, Lin Kuanhui Elaine, Tseng Wan-Ling (in press). Temperature, Precipitation, and Sunshine Across China, 1912-51: A New Daily Instrumental Dataset. Geoscience Data Journal.

THE AUTHORS SHALL NOT BE RESPONSIBLE OR LIABLE TO YOU OR ANY THIRD PARTY FOR ANY LOSS OR DAMAGE OF ANY SORT INCURRED BY YOU OR ANY THIRD PARTY IN CONNECTION WITH THE USE OF THE DATASET BY YOU OR ANY THIRD PARTY. The authors also shall not be responsible or liable for the accuracy, usefulness or availability of any data in the Dataset. Due to errors in typesetting and digitization, biases in recording, rounding, and inhomogeneities, the data should be interpreted with caution. When using this data, please cite the related paper and also the dataset. You may use the dataset only if you agree with the terms of use.

{"references": ["Png Paak Liang Ivan, Chen Yeh-Ning, Chu Junhong, Feng Yikang, Lin Kuanhui Elaine, Tseng Wan-Ling (in press).\u00a0 Temperature, Precipitation, and Sunshine Across China, 1912-51: A New Daily Instrumental Dataset. Geoscience Data Journal."]}

Country
Singapore
Keywords

China, Meteorology, Data rescue, China weather

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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14