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Data Publisher for Earth & Environmental Science

Zhang, Tingwei; Yang, Xiaoqiang; Peng, Jie; Zhou, Qixian; Toney, Jaime L; Liu, Huiyang; Xie, Yixuan (2023): Stacked data of effective moisture from the Tengchong Qinghai lake in Yunnan, China [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.958272, In: Zhang, T et al. (2023): Decoupled Indian Summer Monsoon Intensity and Effective Moisture Since the Last Glaciation in Southwest China [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.958273

Always quote citation above when using data! You can download the citation in several formats below.

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Keyword(s):
Climate changes; environmental magnetism; Last Glacial
Funding:
National Natural Science Foundation of China (NSFC), grant/award no. 41672162
National Natural Science Foundation of China (NSFC), grant/award no. 41872217
National Natural Science Foundation of China (NSFC), grant/award no. 41904068: Variation of Precipitation in Paleo-Human Activities in Southern China during MIS5 Stage Recorded by Stalagmites
Coverage:
Latitude: 25.131180 * Longitude: 98.573130
Minimum Elevation: 1846.0 m * Maximum Elevation: 1846.0 m
Event(s):
Tengchongq_Qinghai_Lake_QH4 * Latitude: 25.131180 * Longitude: 98.573130 * Elevation: 1846.0 m * Lake water depth: ~ 7 m * Recovery: 16.96 m * Location: Yunnan, China * Method/Device: Core (CORE) * Comment: Sampling year: 2014
Comment:
Further fundings:
* National Second Expedition to the Tibetan Plateau, Award: 2019QZKK0707
* Guangdong Province Introduced Innovative R&D Team of Geological Processes and Natural Disasters around the South China Sea, Award: 2016ZT06N331
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
AGEAgeka BPZhang, TingweiGeocode
Effective moisture, stackedEff moisture stackZhang, TingweiKappabridgestack-
Effective moisture, stackedEff moisture stackZhang, TingweiKappabridge
Effective moisture, stackedEff moisture stackZhang, TingweiKappabridgestack+
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
2724 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Age [ka BP]

Eff moisture stack
(stack-)

Eff moisture stack

Eff moisture stack
(stack+)
0.015-1.448083730-0.955390168-0.462696606
0.115-1.147916463-1.023497895-0.899079327
0.215-1.244447452-1.090749797-0.937052142
0.315-1.472178105-1.402905724-1.333633343
0.415-0.2219199820.3430893290.908098641
0.515-0.694428946-0.458083166-0.221737386
0.615-2.164485174-1.544992583-0.925499992
0.715-0.685660443-0.2169414800.251777483
0.815-0.464535647-0.432453988-0.400372329
0.915-0.833427715-0.771932331-0.710436948
1.015-1.158142746-1.158097743-1.158052739
1.115-1.418020367-1.292750312-1.167480257
1.215-1.634693089-1.561849667-1.489006245
1.315-1.820499486-1.759106527-1.697713567
1.415-1.983147106-1.501056345-1.018965584
1.515-2.127774372-1.997782957-1.867791543
1.615-2.338003654-2.297991358-2.257979062
1.715-2.480589131-2.428483881-2.376378631
1.815-2.484936902-2.484789937-2.484642972
1.915-2.667189919-2.626177495-2.585165071
2.015-2.625900314-2.602773867-2.579647419
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3.015-2.131606339-1.999135889-1.866665439
3.115-2.232980059-2.090073558-1.947167056
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3.315-2.455521152-2.206058004-1.956594857
3.415-2.433299101-2.337108639-2.240918176
3.515-2.510006372-2.460349506-2.410692640
3.615-2.416888573-2.402288405-2.387688236
3.715-2.364271627-2.326181200-2.288090774
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4.015-2.595869623-2.315305949-2.034742275
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4.615-2.573859251-2.273801642-1.973744034
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5.315-2.311787612-2.259080487-2.206373362
5.415-1.912481368-1.872639386-1.832797404
5.515-2.425666895-2.160163041-1.894659187
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9.6150.1857060050.2583030750.330900144
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10.615-1.320372913-1.199551357-1.078729801
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10.915-1.160367226-0.5298941040.100579017
11.015-0.632092719-0.431988386-0.231884054
11.115-0.746290611-0.695614800-0.644938989
11.215-1.018910693-0.717934093-0.416957493
11.315-0.521066825-0.417720635-0.314374444
11.415-0.902456601-0.739252701-0.576048801
11.515-0.991661317-0.946329913-0.900998508
11.615-0.623347983-0.479872278-0.336396573
11.715-2.037634830-1.652835227-1.268035625
11.815-1.534625965-1.373946286-1.213266606
11.915-0.320875028-0.169279025-0.017683022
12.015-1.113966526-0.915863312-0.717760098
12.115-0.653563607-0.326788919-0.000014200
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15.015-1.137600648-0.795489686-0.453378724
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