# Lake Pata, Brazil 7,500 Year Radiogenic Isotope Data
#----------------------------------------------------------------------- 
#                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/30893 
#       Description: NOAA Landing Page
# Online_Resource: https://www.ncei.noaa.gov/pub/data/paleo/paleolimnology/southamerica/brazil/pata2020iso.txt
#       Description: NOAA location of the template
#
# Original_Source_URL:  
#       Description:
# 
# Description/Documentation lines begin with #
# Data lines have no #
#
# Data Type: Paleolimnology
#
# Dataset DOI: 
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# Parameter_Keywords: geochemistry 
#--------------------
# Contribution_Date
#	Date: 2020-07-31
#--------------------
# File_Last_Modified_Date
#	Date: 2021-07-23
#--------------------
# Title
#	Study_Name: Lake Pata, Brazil 7,500 Year Radiogenic Isotope Data
#--------------------
# Investigators
#	Investigators: Nogueira, J. 
#--------------------
# Description_Notes_and_Keywords
#	Description: Radiogenic isotope (Strontium 87Sr/86Sr and Neodymium 143Nd/144Nd) data from sediments collected in Lake Pata, Brazil, for the past 7,500 years.
#--------------------
# Publication 
#	Authors: Juliana Nogueira, Heitor Evangelista, Claudio de Morisson Valeriano, Abdelfettah Sifeddine, Carla Neto, Gilberto Vaz, Luciane S. Moreira, Renato C. Cordeiro, Bruno Turcq, Keila Cristina Aniceto, Artur Bastos Neto, Gabriel Martins, Cybelli G.G. Barbosa, Ricardo H.M. Godoi, Marilia H. Shimizu
#	Published_Date_or_Year: 2021   
#	Published_Title: Dust arriving in the Amazon basin over the past 7,500 years came from diverse sources 
#	Journal_Name: Communications Earth and Environment 
#	Volume: 2
#	Edition: 
#	Issue: 
#	Pages: 5
#	Report_Number: 
#	DOI: https://doi.org/10.1038/s43247-020-00071-w
#	Online_Resource: 
#	Full_Citation: 
#	Abstract: A large amount of dust from the Sahara reaches the Amazon Basin, as observed with satellite imagery. This dust is thought to carry micronutrients that could help fertilize the rainforest. However, considering different atmospheric transport conditions, different aridity levels in South America and Africa and active volcanism, it is not clear if the same pathways for dust have occurred throughout the Holocene. Here we present analyses of Sr-Nd isotopic ratios of a lacustrine sediment core from remote Lake Pata in the Amazon region that encompasses the past 7,500 years before present, and compare these ratios to dust signatures from a variety of sources. We find that dust reaching the western Amazon region during the study period had diverse origins, including the Andean region and northern and southern Africa. We suggest that the Sahara Desert was not the dominant source of dust throughout the vast Amazon basin over the past 7,500 years.
#------------------
# Publication 
#	Authors: Nogueira, J. de S. 
#	Published_Date_or_Year: 2016   
#	Published_Title: Isótopos radiogênicos como traçadores da origem do depósito sedimentar da Lagoa da Pata: implicações sobre o transporte eólico de poeira mineral para a Amazônia Ocidental
#	Journal_Name: Dissertation, Rio de Janeiro State University
#	Volume: 
#	Edition: 
#	Issue: 
#	Pages:
#	Report_Number: 
#	DOI: 
#	Online_Resource: 
#	Full_Citation: 
#	Abstract: 
#------------------
# Funding_Agency 
#	Funding_Agency_Name: Brazilian National Council for Scientific and Technological Development (CNPq)
#	Grant: 
#------------------
# Site_Information 
#	Site_Name: Lake Pata
#	Location: South America>Brazil
#	Country: Brazil
#	Northernmost_Latitude: 0.286
# 	Southernmost_Latitude: 0.286 
# 	Easternmost_Longitude: -66.676
# 	Westernmost_Longitude: -66.676
# 	Elevation: 300
#------------------
# Data_Collection   
#	Collection_Name: Pata2020LPTV-09iso
#	Earliest_Year: 7573
#	Most_Recent_Year: -40
#	Time_Unit: Cal. Year BP
#	Core_Length: 1.18
#	Notes: 
#------------------
# Chronology_Information
#	Chronology: 
# 	
# depth_top	Depth top of sample interval (cm)			
# datemeth  	Dating method			
# calib.14C _min	Minimum calibrated age with 95% of confidence level			
# calib.14C _max	Maximum calibrated age with 95% of confidence level			
# calib.14C _best	Best calibrated age			
# 
# depth_top	calib.14C _min	calib.14C _max	calib.14C _best	datemeth  
# 0	-69	-49	-59	14C AMS
# 1	-55	-22	-40	14C AMS
# 2	-46	8	-20	14C AMS
# 3	-36	39	-1	14C AMS
# 4	-28	71	18	14C AMS
# 5	-20	102	37	14C AMS
# 6	-11	133	57	14C AMS
# 7	-3	165	76	14C AMS
# 8	5	197	95	14C AMS
# 9	13	229	115	14C AMS
# 10	21	261	134	14C AMS
# 11	79	296	181	14C AMS
# 12	136	332	228	14C AMS
# 13	191	370	275	14C AMS
# 14	245	408	322	14C AMS
# 15	298	448	370	14C AMS
# 16	351	488	417	14C AMS
# 17	405	528	464	14C AMS
# 18	458	568	511	14C AMS
# 19	507	612	558	14C AMS
# 20	554	660	605	14C AMS
# 21	570	666	616	14C AMS
# 22	585	674	628	14C AMS
# 23	600	684	639	14C AMS
# 24	613	694	650	14C AMS
# 25	626	706	662	14C AMS
# 26	639	717	673	14C AMS
# 27	652	729	685	14C AMS
# 28	663	743	696	14C AMS
# 29	673	758	707	14C AMS
# 30	681	777	719	14C AMS
# 31	696	786	731	14C AMS
# 32	710	795	744	14C AMS
# 33	722	806	757	14C AMS
# 34	732	818	770	14C AMS
# 35	739	832	782	14C AMS
# 36	747	847	795	14C AMS
# 37	753	862	808	14C AMS
# 38	762	879	821	14C AMS
# 39	766	897	833	14C AMS
# 40	770	915	846	14C AMS
# 41	824	956	890	14C AMS
# 42	872	1000	934	14C AMS
# 43	914	1045	979	14C AMS
# 44	956	1094	1023	14C AMS
# 45	996	1148	1067	14C AMS
# 46	1036	1198	1111	14C AMS
# 47	1070	1257	1155	14C AMS
# 48	1115	1296	1198	14C AMS
# 49	1161	1336	1240	14C AMS
# 50	1207	1374	1283	14C AMS
# 51	1253	1413	1326	14C AMS
# 52	1297	1454	1369	14C AMS
# 53	1342	1493	1411	14C AMS
# 54	1387	1532	1454	14C AMS
# 55	1432	1572	1497	14C AMS
# 56	1477	1612	1539	14C AMS
# 57	1521	1653	1582	14C AMS
# 58	1566	1692	1625	14C AMS
# 59	1608	1734	1668	14C AMS
# 60	1653	1775	1710	14C AMS
# 61	1696	1818	1753	14C AMS
# 62	1741	1860	1796	14C AMS
# 63	1785	1903	1838	14C AMS
# 64	1829	1948	1881	14C AMS
# 65	1873	1993	1924	14C AMS
# 66	1919	2037	1967	14C AMS
# 67	1967	2081	2009	14C AMS
# 68	2012	2122	2052	14C AMS
# 69	2057	2166	2095	14C AMS
# 70	2101	2212	2137	14C AMS
# 71	2145	2256	2180	14C AMS
# 72	2188	2300	2223	14C AMS
# 73	2229	2345	2266	14C AMS
# 74	2271	2390	2308	14C AMS
# 75	2311	2438	2351	14C AMS
# 76	2490	2605	2528	14C AMS
# 77	2662	2772	2705	14C AMS
# 78	2832	2939	2882	14C AMS
# 79	3000	3113	3059	14C AMS
# 80	3169	3294	3236	14C AMS
# 81	3339	3478	3413	14C AMS
# 82	3503	3661	3590	14C AMS
# 83	3665	3848	3767	14C AMS
# 84	4000	4172	4079	14C AMS
# 85	4307	4520	4392	14C AMS
# 86	4597	4875	4704	14C AMS
# 87	4880	5245	5017	14C AMS
# 88	5101	5412	5219	14C AMS
# 89	5321	5584	5421	14C AMS
# 90	5538	5756	5623	14C AMS
# 91	5749	5931	5825	14C AMS
# 92	5952	6110	6027	14C AMS
# 93	6150	6295	6230	14C AMS
# 94	6342	6493	6432	14C AMS
# 95	6392	6530	6473	14C AMS
# 96	6440	6570	6515	14C AMS
# 97	6492	6612	6557	14C AMS
# 98	6541	6652	6598	14C AMS
# 99	6586	6698	6640	14C AMS
# 100	6628	6742	6682	14C AMS
# 101	6664	6790	6723	14C AMS
# 102	6700	6835	6765	14C AMS
# 103	6731	6886	6807	14C AMS
# 104	6768	6935	6848	14C AMS
# 105	6827	6977	6900	14C AMS
# 106	6889	7020	6952	14C AMS
# 107	6946	7065	7004	14C AMS
# 108	7002	7113	7055	14C AMS
# 109	7056	7161	7107	14C AMS
# 110	7109	7213	7159	14C AMS
# 111	7159	7263	7211	14C AMS
# 112	7207	7314	7262	14C AMS
# 113	7252	7368	7314	14C AMS
# 114	7297	7423	7366	14C AMS
# 115	7341	7482	7418	14C AMS
# 116	7384	7541	7469	14C AMS
# 117	7429	7602	7521	14C AMS
# 118	7472	7664	7573	14C AMS
# 
#----------------
# Variables 
#
# Data variables follow are preceded by "##" in columns one and two.
# Data line variables format:  one per line, shortname-tab-variable components (what, material, error, units, seasonality, data type,detail, method, C or N for Character or Numeric data, free text) 
#
## depth_top	depth at sample end,,,centimeter,,paleolimnology,,,N, 
## depth_bot	depth at sample start,,,centimeter,,paleolimnology,,,N,
## age	age,,,calendar year before present,,paleolimnology,,,N,14C AMS
## 87Sr/86Sr	87Sr/86Sr,sediment,,dimensionless,,paleolimnology,,thermal ionization mass spectrometry,N,
## 87Sr/86Sr2s	87Sr/86Sr,sediment,two standard deviations,dimensionless,,paleolimnology,,thermal ionization mass spectrometry,N,
## 143Nd/144Nd	143Nd/144Nd,sediment,,dimensionless,,paleolimnology,,thermal ionization mass spectrometry,N, 
## 143Nd/144Nd2s	143Nd/144Nd,sediment,two standard deviations,dimensionless,,paleolimnology,,thermal ionization mass spectrometry,N, 
#
#----------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values:  
#
depth_top	depth_bot	age	87Sr/86Sr	87Sr/86Sr2s	143Nd/144Nd	143Nd/144Nd2s
1	2	-40	0.7110210	0.000006	0.512689	0.000011
13	14	275	0.7110568	0.000009	0.512631	0.000002
35	36	782	0.7118590	0.000004	0.512669	0.000009
45	46	1067	0.7113990	0.000007	0.512701	0.000007
52	53	1369	0.7114490	0.000003	0.512644	0.000009
56	57	1539	0.7115470	0.000006	0.512652	0.000009
68	69	2052	0.7113858	0.000005	0.512635	0.000007
70	71	2137	0.7113552	0.000004	0.512634	0.000006
77	78	2705	0.7114410	0.000008	0.512636	0.000007
80	81	3236	0.7114249	0.000008	0.512679	0.000009
81	82	3413	0.7115000	0.000008	0.512618	0.000006
82	83	3590	0.7114940	0.000006	0.512626	0.000004
83	84	3767	0.7114410	0.000007	0.512628	0.000009
84	85	4079	0.7112480	0.000008	0.512673	0.000007
85	86	4392	0.7113660	0.000005	0.512625	0.000006
86	87	4704	0.7114600	0.000007	0.512631	0.000005
87	88	5017	0.7114130	0.000007	0.512654	0.000009
89	90	5421	0.7114560	0.000009	0.512648	0.000009
91	92	5825	0.7114290	0.000073	0.512643	0.000007
96	97	6515	0.7115520	0.000009	0.512619	0.000004
97	98	6557	0.7116710	0.000009	0.512650	0.000005
101	102	6723	0.7117340	0.000006	0.512642	0.000006
104	105	6848	0.7117160	0.000009	0.512633	0.000007
108	109	7055	0.7116990	0.000010	0.512636	0.000007
112	113	7262	0.7116970	0.000009	0.512650	0.000007
116	117	7469	0.7117295	0.000004	0.512645	0.000007
118	120	7573	0.7117580	0.000008	0.512643	0.000008