# East China Sea, northern Okinawa Trough clay mineral and mass accumulation rate data over the last 300,000 years
#----------------------------------------------------------------------- 
#                World Data Service for Paleoclimatology, Boulder 
#                                  and 
#                     NOAA Paleoclimatology Program 
#             National Centers for Environmental Information (NCEI)
#----------------------------------------------------------------------- 
# Template Version 3.0
# Encoding: UTF-8
# NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. 
# If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. 
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/26650
#       Description: NOAA Landing Page 
# Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/contributions_by_author/zhao2019/zhao2019-mar.txt
#       Description: Location of this template
#
# Original_Source_URL: (URL to original source of data, if applicable)
#       Description:
# 
# Description/Documentation lines begin with #
# Data lines have no #
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# Data_Type: Paleoceanography
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# Dataset_DOI: 
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# Parameter_Keywords: lithology
#--------------------
# Contribution_Date
#	Date:  2019-04-24
#--------------------
# File_Last_Modified_Date
#	Date:  2019-04-24
#--------------------
# Title
#	Study_Name: East China Sea, northern Okinawa Trough clay mineral and mass accumulation rate data over the last 300,000 years 
#--------------------
# Investigators
#	Investigators: Zhao, Debo; Wan, Shiming; Song, Zhaoyang; Gong, Xun; Zhai, Lina; Shi, Xuefa; Li, Anchun
#--------------------
# Description_Notes_and_Keywords
#	Description: Clay mineral and terrigenous mass accumulation rate as a proxy for East Asian winter monsoon in northern East Asian marginal sea.
#       Provided Keywords: East Asian winter monsoon, paleoclimate reconstruction, East China Sea, IODP, Site U1429
#--------------------
# Publication 
#	Authors: Zhao Debo, Wan Shiming, Song Zhaoyang, Gong Xun, Zhai Lina, Shi Xuefa, Li Anchun
#	Published_Date_or_Year:  2019      
#	Published_Title: Asynchronous variation in the Quaternary East Asian winter monsoon associated with the tropical Pacific ENSO-like system
#	Journal_Name: Geophysical Research Letters
#	Volume: 
#	Edition: 
#	Issue: 
#	Pages:
#	Report_Number: 
#	DOI: 
#	Online_Resource: 
#	Full_Citation: 
#	Abstract: Quaternary East Asian winter monsoon (EAWM) evolution has long been attributed to the high-latitude Northern Hemisphere climate change. However, it cannot explain the distinct relationships of the EAWM in northern and southern East Asian marginal sea obtained in paleoclimatic records. Here we present an EAWM record in northern East China Sea over the past 300 ka, and a transient climate simulation with the Kiel Climate Model through the Holocene. Both proxy record and simulation suggest anti-correlated long-term EAWM evolution between northern East China Sea and South China Sea. We suggest this spatial discrepancy of EAWM can be interpreted by the El Niño-Southern Oscillation (ENSO)-like controlling, which generate cyclonic/anticyclonic wind anomalies in northern/southern East Asian marginal sea. This research explains much of the controversy in nonorbital scale variability of Quaternary EAWM records in East Asian marginal sea, and supports a potent role of tropical forcing in East Asian winter climate change.
#------------------
# Funding_Agency 
#	Funding_Agency_Name: National Natural Science Foundation of China
#	Grant: 41576034, U1606401, 41622603, 41806055
#------------------
# Funding_Agency 
#	Funding_Agency_Name: National Program on Global Change and Air-Sea Interaction
#	Grant: GASI-GEOGE-03
#------------------
# Funding_Agency 
#	Funding_Agency_Name: China Postdoctoral Science Foundation Funded Project
#	Grant: 2018M632730
#------------------
# Funding_Agency 
#	Funding_Agency_Name: Taishan and Aoshan Talents program
#	Grant: 2017ASTCP-ES01
#------------------
# Funding_Agency 
#	Funding_Agency_Name: Innovation project
#	Grant: 2016ASKJ13, MGQNLM-TD201805
#------------------
# Site_Information 
#	Site_Name: IODP U1429
#	Location: East China Sea
#	Country:  
#	Northernmost_Latitude: 31.617333 
# 	Southernmost_Latitude: 31.617333 
# 	Easternmost_Longitude: 128.9975 
# 	Westernmost_Longitude: 128.9975 
# 	Elevation: -732  
#------------------
# Data_Collection   
#	Collection_Name: IODP U1429 terrigenous MAR Zhao2019
#	Earliest_Year:  282200
#	Most_Recent_Year:  530
#	Time_Unit:  calendar year before present
#	Core_Length: 151.1
#	Notes: 
#------------------
# Chronology_Information
#	Chronology: Chronology was from Sagawa et al., (2018)
#U1429 CCSF-D (m)	Age (ka)
#	0.22	0.52
#	1.32	3.23
#	2.62	6.44
#	4.12	9.37
#	5.95	12.66
#	8	15.85
#	9.4	18
#	10.53	19.57
#	11.73	21.23
#	12.93	22.89
#	14.13	24.55
#	15.33	26.22
#	16.59	27.96
#	17.94	29.83
#	19.14	32.53
#	20.34	35.33
#	21.54	38.07
#	22.74	39.38
#	23.94	40.7
#	25.14	42.02
#	26.35	43.35
#	27.55	44.67
#	28.75	46.34
#	29.95	48.13
#	31.15	49.93
#	32.35	51.72
#	33.5	53.43
#	34.7	55.35
#	35.9	58.14
#	37.11	60.96
#	38.31	63.75
#	39.51	66.55
#	40.71	69.34
#	41.91	72.14
#	43.14	75
#	44.64	78.68
#	45.99	82
#	47.2	84.67
#	48.55	87.42
#	49.8	89.25
#	54.2	93.43
#	56.91	99.48
#	58.11	102.15
#	59.31	104.83
#	60.51	107.51
#	61.86	111.82
#	63.06	116.79
#	64.26	121.76
#	65.49	126.88
#	66.69	130.88
#	67.89	133.24
#	69.09	135.59
#	70.44	138.24
#	71.34	140
#	72.54	141.86
#	73.74	143.73
#	74.89	145.51
#	76.14	147.45
#	77.41	149.43
#	78.61	151.29
#	79.81	153.15
#	81	155
#	82.21	157.36
#	83.41	159.71
#	84.66	162.15
#	85.91	164.6
#	87.14	167
#	88.34	169.33
#	89.55	171.67
#	90.75	174
#	91.95	176.1
#	93.16	178.21
#	94.28	180.17
#	95.53	182.36
#	97.04	185
#	98.39	188.36
#	99.59	191.36
#	101.06	195.02
#	102.26	198.01
#	103.46	201
#	104.66	203.81
#	105.86	206.62
#	109.09	214.19
#	110.29	217
#	111.49	219.63
#	112.68	222.25
#	113.83	224.77
#	115.04	227.43
#	116.39	230.39
#	117.59	233.03
#	118.8	235.68
#	119.98	238.12
#	126.45	242.14
#	127.6	245.33
#	128.8	248.67
#	130	252
#	131.06	253.88
#	132.23	255.96
#	133.43	258.09
#	134.63	260.22
#	135.83	262.35
#	137.09	264.58
#	138.38	266.87
#	139.58	269
#	140.75	271.68
#	141.95	274.42
#	143.3	277.51
#	144.5	280.25
#	145.7	283
#	146.92	286.74
#	148.12	290.41
#	149.32	294.09
#	150.55	297.85
#	151.72	301.44	
#
#	Tephrostratigraphy
#       U1429 depth (m, CCSF-D)	U1429 Age (ka)	Event
#	0	0	Core top
#	9.4	18	MIS 2
#	18.06	30	AT
#	48.26	87	Aso-4
#	71.34	140	MIS 6a
#	81	155	MIS 6c
#	126.4	242	Ata-Th
#	130	252	MIS 8
#	140.09	270.2	Aso-1
#	164.59	339.2	Kkt

#----------------	
# Variables 
#
# Data variables follow are preceded by "##" in columns one and two.
# *** MORE DETAILED INSTRUCTIONS are available at www1.ncdc.noaa.gov/pub/data/paleo/templates/Variable_naming_guide.pdf
# variables format:  shortname	what,material,error,units,seasonality,data_type,detail,method,data_format,additional_information) 
#
## Depth_CCSF-D	depth,,, meter,, paleoceanography,,, N, spliced composite depth below seafloor
## Age_kaBP	age,,,calendar kiloyear before present,, paleoceanography,,,N, Benthic Chronology and tephrostratigraphy
## terrig	mineral matter,,, percent,,paleoceanography,,,N,Terrigenous matter; bulk sediment was removed carbonate and organic matter
## Total_MAR	accumulation rate,,,gram per square centimeter per kiloyear,,paleoceanography,,,N, Dry bulk density multiply linear sedimentation rate; total mass accumulation rate
## Terrigenous_MAR	accumulation rate,,,gram per square centimeter per kiloyear,,paleoceanography,,,N, total mass accumulation rate multiply terrigenous content; terrigenous mass accumulation rate
## YellowRiver_sed	provenance,,, percent,,paleoceanography,,,N, sediment relative input from Yellow River calculated based Nd isotopic end-member mixing model
## Kyushu_sed	provenance,,, percent,,paleoceanography,,,N, sediment relative input from Kyushu calculated based Nd isotopic end-member mixing model
## YellowRiver_terrigMAR	accumulation rate,,,gram per square centimeter per kiloyear,,paleoceanography,,,N, Yellow River terrigenous mass accumulation rate; sediment relative input multiply Terrigenous MAR
## Kyushu_terrigMAR	accumulation rate,,,gram per square centimeter per kiloyear,,paleoceanography,,,N, Kyushu terrigenous mass accumulation rate; sediment relative input multiply Terrigenous MAR
#----------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing_Values:  
#
Depth_CCSF-D	Age_kaBP	terrig	Total_MAR	Terrigenous_MAR	YellowRiver_sed	Kyushu_sed	YellowRiver_terrigMAR	Kyushu_terrigMAR
0.22 	0.53 	81.84 	23.94 	19.59 	87.23 	12.77 	17.09 	2.50 
1.32 	3.24 	73.01 	24.62 	17.97 	76.60 	23.40 	13.77 	4.21 
4.32 	9.73 	67.81 	24.95 	16.92 	75.44 	24.56 	12.76 	4.16 
7.35 	14.84 	66.38 	32.32 	21.46 	88.53 	11.47 	19.00 	2.46 
7.75 	15.46 	73.64 	38.48 	28.34 	88.97 	11.03 	25.21 	3.13 
32.75 	52.31 	78.40 	43.90 	34.42 	79.76 	20.24 	27.45 	6.97 
38.26 	63.64 	72.89 	48.61 	35.43 	79.36 	20.64 	28.12 	7.32 
41.66 	71.56 	76.17 	31.32 	23.86 	82.81 	17.19 	19.76 	4.10 
46.70 	83.57 	76.31 	32.88 	25.09 	64.86 	35.14 	16.27 	8.82 
53.20 	92.48 	68.30 	34.16 	23.33 	68.92 	31.08 	16.08 	7.25 
61.71 	111.20 	67.18 	71.54 	48.06 	85.74 	14.26 	41.21 	6.85 
64.01 	120.80 	65.58 	23.28 	15.27 	86.38 	13.62 	13.19 	2.08 
64.51 	122.80 	63.74 	16.71 	10.65 	84.26 	15.74 	8.98 	1.68 
66.04 	128.70 	61.13 	16.12 	9.86 	79.76 	20.25 	7.86 	2.00 
67.74 	132.90 	66.81 	17.80 	11.89 	71.66 	28.34 	8.52 	3.37 
70.64 	138.70 	74.33 	33.80 	25.12 	52.27 	47.73 	13.13 	11.99 
72.34 	141.55 	64.44 	36.86 	23.75 	89.63 	10.37 	21.29 	2.46 
84.62 	162.07 	82.12 	49.86 	40.95 	87.45 	12.55 	35.81 	5.14 
86.17 	165.09 	72.55 	41.96 	30.44 	83.64 	16.36 	25.46 	4.98 
89.31 	171.20 	74.27 	42.31 	31.42 	87.66 	12.34 	27.55 	3.88 
90.41 	173.33 	66.47 	42.77 	28.43 	74.48 	25.52 	21.18 	7.26 
93.61 	179.00 	74.86 	42.94 	32.15 	76.60 	23.40 	24.62 	7.52 
95.33 	182.01 	75.11 	47.59 	35.75 	73.91 	26.09 	26.42 	9.33 
97.24 	185.49 	75.10 	48.00 	36.05 	84.05 	15.95 	30.30 	5.75 
98.74 	189.23 	86.00 	46.81 	40.26 	79.96 	20.04 	32.19 	8.07 
99.84 	191.97 	76.83 	34.82 	26.75 	77.57 	22.43 	20.75 	6.00 
104.26 	202.88 	61.49 	37.86 	23.28 	74.10 	25.90 	17.25 	6.03 
105.36 	205.45 	61.27 	40.58 	24.86 	72.78 	27.22 	18.10 	6.77 
110.54 	217.54 	62.80 	38.18 	23.98 	72.59 	27.41 	17.41 	6.57 
113.54 	224.12 	75.65 	35.52 	26.87 	76.60 	23.40 	20.58 	6.29 
118.40 	234.81 	67.05 	43.27 	29.01 	71.85 	28.15 	20.84 	8.17 
131.23 	254.18 	78.92 	40.01 	31.58 	91.18 	8.82 	28.79 	2.79 
135.33 	261.46 	73.39 	44.14 	32.40 	95.04 	4.96 	30.79 	1.61 
139.83 	269.56 	77.02 	50.56 	38.94 	82.81 	17.19 	32.25 	6.70 
140.85 	271.91 	73.17 	50.04 	36.62 	84.47 	15.53 	30.93 	5.69 
143.85 	278.77 	72.37 	41.68 	30.16 	81.98 	18.02 	24.73 	5.43 
145.35 	282.20 	62.99 	41.42 	26.09 	74.29 	25.71 	19.38 	6.71