# Chinese Pine Maximum Latewood Density (MXD) Hydroclimate Records in semi-arid Northern China 
#----------------------------------------------------------------------- 
#                World Data Service for Paleoclimatology, Boulder 
#                                  and 
#                     NOAA Paleoclimatology Program 
#             National Centers for Environmental Information (NCEI)
#----------------------------------------------------------------------- 
# Template Version 4.0
# Encoding: UTF-8
# NOTE: Please cite original publication, NOAA Landing Page URL, dataset and publication DOIs (where available), and date accessed when using downloaded data. If there is no publication information, please cite investigator, study title, NOAA Landing Page URL, and date accessed. 
#
# Description/Documentation lines begin with #
# Data lines have no #
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# NOAA_Landing_Page: https://www.ncei.noaa.gov/access/paleo-search/study/37699
#   Landing_Page_Description: NOAA Landing Page of this file's parent study, which includes all study metadata.
#
# Study_Level_JSON_Metadata: https://www.ncei.noaa.gov/pub/data/metadata/published/paleo/json/noaa-tree-37699.json
#   Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata.
#
# Data_Type: Tree Ring
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# Dataset_DOI: 10.25921/jfbz-hs09
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# Science_Keywords: 
#--------------------
# Resource_Links
#   
# Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/treering/isotope/asia/china/yang2023/yang2023-mxd-hydroclimate.txt
#   Data_Download_Description: NOAA Template File; Jingyuan MXD Data
#
# Related_Online_Resource: https://www.ncei.noaa.gov/access/paleo-search/study/38024
#   Online_Resource_Description: ITRDB Data used for reconstruction
#
#--------------------
# Contribution_Date
#    Date: 2023-03-06
#--------------------
# File_Last_Modified_Date
#     Date: 2023-07-13
#--------------------
# Title
#   Study_Name: Chinese Pine Maximum Latewood Density (MXD) Hydroclimate Records in semi-arid Northern China
#--------------------
# Investigators
#   Investigators: Yang, Bao; He, Minhui; Liu, Yang; Wang, Feng; Ljungqvist, Fredrik C.
#--------------------
# Description_Notes_and_Keywords
#   Description: Chinese pine maximum latewood density in semi-arid northern China records hydroclimate rather than temperature. Elevations range from 2400-2740 m. The data used is in ITRDB CHN092 (https://www.ncei.noaa.gov/access/paleo-search/study/38024).
#    Provided Keywords: maximum latewood density (MXD), temperature, hydroclimate, semi-arid regions
#--------------------
# Publication 
#   Authors: Yang, Bao, Minhui He, Liu Yang, Feng Wang, Fredrik C. Ljungqvist
#   Published_Date_or_Year: 2023-07-16
#   Published_Title: Pine Maximum Latewood Density in Semi-Arid Northern China Records Hydroclimate Rather Than Temperature
#   Journal_Name: Geophysical Research Letters
#   Volume: 50
#   Edition: 
#   Issue: 13
#   Pages: 
#   Report_Number: e2023GL104362
#   DOI: 10.1029/2023GL104362
#   Publication_Place: 
#   Online_Resource: 
#   Full_Citation:
#   Abstract: Long records of tree-ring maximum latewood density (MXD) measurements in conifers have been successfully employed to reconstruct summer temperature changes globally. Yet, the potential of MXD as a proxy in semi-arid, low-latitude regions for reconstructing either temperature or hydroclimate variability remains largely unexplored. Here, we developed a MXD data set of Chinese pine from semi-arid northern China, and investigated its sensitivity to different climate variables. We found that the annual self-calibrated Palmer Drought Severity Index from previous August to current July displays the strongest influence on the MXD variation. The entire MXD chronology (covering 1736–2020) is highly consistent with nearby tree-ring-based annual precipitation and drought reconstructions at decadal timescales, confirming a temporally stable hydroclimate signal in our MXD record. In particular, the rapid wetting trend during the 2010–2020 period is well captured by the MXD data. This novel study has wide implications for future use of tree-ring density data to reconstruct past climate changes globally.
#------------------
# Funding_Agency 
#   Funding_Agency_Name: National Natural Science Foundation of China
#   Grant: 42130511, 42261134537 and 41602192
#------------------
# Funding_Agency 
#   Funding_Agency_Name: Swedish Research Council
#   Grant: 2018-01272
#------------------
# Site_Information 
#   Site_Name: Jingyuan
#   Location: China
#   Northernmost_Latitude: 37.0
#   Southernmost_Latitude: 37.0
#   Easternmost_Longitude: 104.5
#   Westernmost_Longitude: 104.5
#   Elevation_m:
#--------------------
# Data_Collection  
#   Collection_Name: Jingyuan MXD Yang2023
#   Earliest_Year: 1737
#   Most_Recent_Year: 2003
#   Time_Unit: Year CE
#   Core_Length_m: 
#   Parameter_Keywords: maximum density
#   Notes:
#--------------------
# Chronology_Information
#   Chronology: 
#
#--------------------
# Variables  
#
# PaST_Thesaurus_Download_Resource:  https://www.ncei.noaa.gov/pub/data/paleo/PaST-thesaurus/SKOS/past-thesaurus-v1.0.rdf
#   PaST_Thesaurus_Download_Description: Paleoenvironmental Standard Terms (PaST) Thesaurus terms, definitions, and relationships in SKOS format.
#
# Variables format: Short_name <tab> what,material,error,units,seasonality,data_type,detail,method,data_format,additional_information
#
## Year	age,,,year Common Era,,tree ring,,,N, 
## MXD_Interp_0	maximum density,wood,,gram per decimeter,,tree ring,infilled,,N,MXD replaced all the missing values with zero
## MXD_Interp_MSV	maximum density,wood,,gram per decimeter,,tree ring,infilled,,N,MXD replaced all the missing values with the mean of MXD data from other cores of the same tree
## MXD_Interp_MAV	maximum density,wood,,gram per decimeter,,tree ring,infilled,,N,MXD replaced all the missing values with the mean value from all the measured MXD values at the same year
## Sampdepth	number of samples,,,count,,tree ring,,,N,MXD
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing_Values: 
#
Year	MXD_Interp_0	MXD_Interp_MSV	MXD_Interp_MAV	Sampdepth
1737	0.94230533	0.903787198	0.906958173	12
1738	1.093944421	1.022053524	1.034534844	12
1739	1.095328921	1.026237485	1.033294578	12
1740	0.828315867	0.757703494	0.768755112	12
1741	0.995543344	0.9320534	0.943418808	12
1742	0.956100217	0.912102993	0.93598985	12
1743	0.869358243	0.831082506	0.867059796	12
1744	0.968282534	0.899300746	0.926287295	12
1745	1.040024555	0.975027465	0.985399932	12
1746	0.905731623	0.861082852	0.877351806	12
1747	1.019801646	0.952294848	0.952475246	13
1748	1.073294961	1.001803808	1.008049693	13
1749	1.02052741	0.957495632	0.968700941	14
1750	1.125756354	1.061227721	1.073193399	14
1751	1.085354761	1.011187429	1.023144904	14
1752	1.111377859	1.071493772	1.049758647	14
1753	1.238922465	1.157736238	1.171500344	14
1754	1.113183883	1.0428822	1.066024131	14
1755	1.011016984	0.956239976	0.969021736	14
1756	1.115918532	1.055017233	1.050967902	14
1757	1.126245056	1.057401892	1.062969428	14
1758	0.710138927	0.929016054	0.890990913	14
1759	0.476451707	0.893639718	0.891206031	14
1760	1.040873571	1.036899081	1.021670539	14
1761	1.160786923	1.08810349	1.096552382	14
1762	1.049495498	0.997544827	1.00332033	14
1763	0.822365356	0.922613205	0.895806284	14
1764	0.471454717	0.764494051	0.788294313	14
1765	0.630716996	0.701167832	0.711402839	14
1766	0.85388684	0.963289616	0.904736783	14
1767	1.006009969	1.101086196	1.026554172	14
1768	1.105393496	1.20316813	1.104987209	15
1769	0.99705794	1.019483907	0.979850308	15
1770	1.012731657	0.965639886	0.969400571	15
1771	1.151442344	1.093717165	1.101263494	15
1772	1.126602388	1.045694038	1.039955196	15
1773	1.039334617	0.996164429	0.997934382	15
1774	1.082048154	1.04031884	1.045714358	15
1775	0.956209559	0.949662272	0.95513486	16
1776	0.525576868	0.625182644	0.74676157	16
1777	0.786514807	0.802796113	0.804506181	16
1778	0.897286707	0.941321405	0.922700293	16
1779	1.043005551	1.027566714	1.020751949	16
1780	1.163118057	1.147345834	1.113048714	16
1781	1.25566529	1.238499553	1.200469941	16
1782	1.238443599	1.217663187	1.180386287	16
1783	0.945489526	0.944341481	0.93668192	16
1784	1.263238738	1.278338489	1.212859958	16
1785	1.254702009	1.219288817	1.214483276	16
1786	1.311589044	1.274258444	1.275047505	16
1787	1.153529147	1.113145066	1.114352966	16
1788	1.163537423	1.133651354	1.127938093	16
1789	1.102441242	1.049796643	1.052327063	16
1790	1.095859037	1.046477281	1.045975454	16
1791	1.089684733	1.034351133	1.032947218	16
1792	1.167414674	1.102671436	1.108343553	16
1793	0.983445762	0.929408449	0.933895535	16
1794	1.181917695	1.123527436	1.119857929	16
1795	0.92939925	0.973644871	1.038421907	16
1796	1.072434569	1.036018358	1.047383217	16
1797	0.868849087	0.911520512	0.905171773	16
1798	0.848811508	0.79872007	0.82832975	16
1799	0.982540115	0.89284437	0.964533145	16
1800	1.054711683	0.994729286	1.026278549	16
1801	0.709530561	0.769308157	0.788387236	16
1802	1.142038269	1.072769463	1.082605071	16
1803	1.270798473	1.212707847	1.207870416	16
1804	1.378554776	1.330899661	1.319001667	16
1805	1.193012305	1.14220662	1.136172076	16
1806	1.163556587	1.116554076	1.113104442	16
1807	1.200208607	1.129190703	1.133420752	16
1808	1.079940068	1.025444755	1.025079975	16
1809	1.112674845	1.05966408	1.057699134	16
1810	0.90924726	0.964906313	0.94509609	16
1811	0.890032628	0.885163139	0.895747076	16
1812	1.010019356	0.948606139	0.950643436	16
1813	1.082956243	1.026447073	1.02907647	16
1814	0.953505948	0.928961973	0.938291264	16
1815	0.613818542	0.788544898	0.827584651	16
1816	0.988868186	0.922016849	0.939394383	16
1817	1.008890441	0.960904253	0.969098513	16
1818	0.759544139	0.8323178	0.836032444	16
1819	1.051804355	0.996371014	0.994574738	16
1820	1.251799999	1.184915783	1.17947751	16
1821	1.089920974	1.047355537	1.037790977	16
1822	1.212658083	1.138910096	1.114683276	16
1823	1.103553474	1.104520735	1.082082906	16
1824	0.944763807	0.88933993	0.892408714	16
1825	1.137865031	1.08725338	1.065087646	16
1826	0.879695154	0.863210928	0.855061222	16
1827	1.160355712	1.163099795	1.095543141	16
1828	1.200202706	1.155035909	1.1160271	16
1829	1.02423386	1.017601109	0.98523291	16
1830	0.87148803	0.901002709	0.944271383	16
1831	0.81715361	0.986586075	0.966476795	16
1832	0.884822948	0.83194701	0.881772431	16
1833	0.891186579	0.831007482	0.832062043	16
1834	1.004172971	0.943676133	0.941394333	16
1835	1.042370104	0.987811484	0.979701043	16
1836	0.877578748	0.851699846	0.87339111	16
1837	0.786170723	0.738433003	0.74580225	16
1838	0.889221729	0.843521076	0.856220023	16
1839	1.066741716	1.002063314	0.99647842	16
1840	0.819536017	0.885743226	0.942091559	16
1841	1.059165793	1.008201105	0.996329654	16
1842	1.058451643	1.013170139	1.001838163	16
1843	1.241426263	1.187984586	1.176562832	16
1844	1.248612958	1.188807757	1.179281123	16
1845	1.22146246	1.163029436	1.147102759	16
1846	0.976663245	0.921767156	0.912773307	16
1847	0.981459934	0.927178393	0.917149848	16
1848	1.059091061	0.992728264	0.981779099	16
1849	1.147240296	1.088898316	1.072099126	17
1850	1.031898733	0.977250904	0.968334501	17
1851	1.102902067	1.044153625	1.036636744	17
1852	1.165479428	1.088327157	1.085892999	17
1853	1.021863502	0.979665895	1.024389157	17
1854	0.623009598	0.808889155	0.888166877	17
1855	1.023913497	0.948312012	0.972338207	17
1856	1.098779598	1.038482935	1.044882381	17
1857	0.937777043	0.908141693	0.928683078	17
1858	0.958781476	0.905616741	0.893183402	17
1859	1.041734182	0.983707929	0.973596386	17
1860	0.934109709	0.880035706	0.870627508	17
1861	0.916085494	0.857754355	0.847530094	17
1862	0.841729312	0.788265051	0.779276454	17
1863	0.941981301	0.88935832	0.906609847	17
1864	0.994840091	0.933352059	0.92361901	17
1865	1.048386676	0.996162512	1.005921084	17
1866	1.038208387	0.970021383	0.959600316	17
1867	0.673290291	0.882423059	0.915965134	17
1868	1.010862457	0.964319998	0.972589221	17
1869	1.083007755	1.010454739	1.01118344	17
1870	1.098419624	1.089721239	1.055772839	17
1871	1.065064126	1.047819699	1.054788443	17
1872	0.913623726	0.995859136	0.986899903	17
1873	0.494409836	0.894255872	1.00125441	17
1874	0.762100495	0.881528755	0.833349351	17
1875	0.789327442	0.77516998	0.765408331	17
1876	0.919324155	0.856902528	0.84474861	16
1877	0.782829967	0.792446696	0.774664275	16
1878	0.643808271	0.753105733	0.805663723	16
1879	0.78244006	0.778351581	0.777002852	16
1880	0.851564897	0.802809907	0.794924739	16
1881	0.896543446	0.838656021	0.82715154	16
1882	0.803805274	0.751671511	0.742616162	16
1883	0.819310595	0.767335935	0.757144352	16
1884	0.354461482	0.667572789	0.815882744	15
1885	0.809798285	0.837878049	0.838924718	15
1886	0.952371888	0.914572316	0.900869919	15
1887	0.892611984	0.861713268	0.823741341	15
1888	1.020401966	0.959443492	0.981823262	15
1889	1.095350143	1.024089097	1.007785938	15
1890	1.269662153	1.184812107	1.167176324	15
1891	1.222282631	1.141091196	1.123968863	15
1892	0.879262626	0.889317812	0.909907686	15
1893	1.117401389	1.04231726	1.025471797	15
1894	1.163359963	1.080628286	1.062803782	15
1895	1.190515828	1.101572512	1.102884815	15
1896	1.043691198	0.96822883	0.950068705	15
1897	1.201907384	1.105141494	1.078630922	15
1898	1.1103178	1.116510787	1.063464065	15
1899	1.055447022	0.979284079	0.963189617	15
1900	0.67120477	0.856033009	0.943144096	15
1901	0.867100083	0.826501796	0.833984118	15
1902	1.071570639	1.010296059	0.996108182	15
1903	1.021210302	0.935086628	0.919059707	15
1904	0.82357424	0.824235535	0.819145746	15
1905	0.995194253	0.929166985	0.907992478	15
1906	1.113573072	1.041716271	1.023947927	15
1907	0.909062416	1.056817207	1.040876414	15
1908	0.904560987	0.866549698	0.869289856	15
1909	1.122365138	1.038910652	1.027241571	15
1910	1.07112884	0.991399233	0.973163551	15
1911	0.980602836	0.973702662	0.948957238	15
1912	0.903621477	0.835429525	0.817718681	14
1913	1.000589227	0.927703054	0.916761062	14
1914	1.149732041	1.082710728	1.047822646	14
1915	1.097687894	1.015791413	0.994621642	14
1916	0.919804387	0.854693644	0.832370816	14
1917	0.995961273	0.946420453	0.945974989	14
1918	0.733981925	0.90683113	0.937640778	14
1919	0.9584303	0.93836934	0.949573173	14
1920	1.025182831	0.967576545	0.988579582	14
1921	0.935373903	0.953750466	0.981106316	14
1922	1.190925799	1.084518973	1.068131589	14
1923	0.899704336	0.965108255	0.980249831	14
1924	1.158442071	1.083592431	1.087979104	14
1925	1.148200301	1.037655581	1.055890645	14
1926	0.451144079	0.800486679	0.912368358	14
1927	1.111497255	1.025908859	1.003154729	14
1928	0.63599787	0.651359408	1.029102414	14
1929	0.641267343	0.569643125	0.87747389	14
1930	0.45018452	0.790903452	1.026131707	13
1931	0.002750131	0.631475625	1.038792062	13
1932	0.383738187	0.388235511	0.990016762	13
1933	0.55956797	0.672596438	0.843254189	13
1934	0.631112868	0.638828146	0.728441135	13
1935	0.690812006	0.705475686	0.76224939	14
1936	1.093548207	1.05370688	1.030957439	14
1937	0.929946103	1.086081424	1.049450509	14
1938	1.407539733	1.358763932	1.293859998	14
1939	1.326974549	1.221892772	1.195929224	14
1940	0.990365256	1.0208277	0.980092337	14
1941	1.195862108	1.11935207	1.06881279	14
1942	0.826245603	0.862337206	0.894226536	14
1943	1.273460882	1.211918294	1.197749763	14
1944	1.399468517	1.280405461	1.248051992	14
1945	1.313235013	1.201798902	1.197447222	14
1946	1.432311574	1.323284038	1.319719386	14
1947	1.084123448	1.072362258	1.079386686	14
1948	1.281825171	1.181880899	1.144570883	14
1949	1.353417892	1.239271493	1.206139636	14
1950	1.411322076	1.353484675	1.30103901	14
1951	1.410045072	1.329994518	1.277629438	14
1952	1.28031076	1.237473915	1.192743292	14
1953	0.733088919	1.104473207	1.053256897	14
1954	1.322789429	1.212447935	1.183260848	14
1955	1.144694037	1.06547084	1.069492164	14
1956	1.271008803	1.153204142	1.118599241	14
1957	1.066176234	1.151414303	1.061769744	14
1958	1.306073575	1.230307805	1.212614392	14
1959	1.403094093	1.291528433	1.261654761	14
1960	1.216487316	1.11906729	1.089530271	14
1961	1.227970015	1.117775654	1.088362388	14
1962	1.210210782	1.107340315	1.076848302	14
1963	0.765858681	1.017350715	0.969619802	14
1964	1.222436923	1.338526288	1.225281128	14
1965	1.387242001	1.262409212	1.226036941	14
1966	0.711769184	0.874077806	1.046781458	13
1967	1.121955298	1.058236893	1.041121765	13
1968	1.06119982	1.186149269	1.080961954	13
1969	1.321483449	1.268029592	1.205768657	13
1970	1.236598979	1.214714615	1.186400008	12
1971	1.199410514	1.166494803	1.134203567	12
1972	1.386835714	1.270834562	1.237852761	12
1973	1.006869817	1.257833946	1.165184529	12
1974	1.299351173	1.193412271	1.167076825	12
1975	0.86330715	0.812064403	0.868066495	12
1976	1.245044205	1.146882029	1.116951019	12
1977	1.273777415	1.165120509	1.139423329	12
1978	1.02821057	0.953272344	0.974622414	12
1979	1.131222835	1.053003865	1.034531168	12
1980	1.35640118	1.250576811	1.219792496	11
1981	1.067410901	1.101532767	1.109697836	11
1982	0.796861827	0.817795305	0.776331884	11
1983	1.131324302	1.059382351	1.032574868	11
1984	1.227840346	1.13523684	1.109939398	11
1985	1.179030383	1.083201926	1.056864497	11
1986	1.002072722	0.962379948	0.899237303	11
1987	1.007378166	0.922150846	0.899188191	11
1988	1.078008055	1.001632058	0.9604788	11
1989	1.238951047	1.120682625	1.082857295	10
1990	1.126618336	1.021999612	1.006896863	10
1991	0.955470178	0.846889175	0.812745953	10
1992	0.660335702	0.835470755	0.943076953	10
1993	1.192789113	1.083247541	1.053616893	10
1994	0.953460376	0.905541168	0.884131529	10
1995	1.018647091	0.982461372	0.962629538	10
1996	1.481997779	1.354237894	1.319435731	10
1997	1.222744169	1.337999169	1.225802785	10
1998	1.009014369	1.187937241	1.104483818	10
1999	1.384902146	1.280751174	1.247491724	10
2000	1.182814862	1.079022683	1.066303131	9
2001	0.938226737	0.892701927	0.917001843	9
2002	1.178064241	1.098818421	1.071831192	8
2003	1.404651377	1.304860743	1.269164297	8