# Marlon Fire Data from Kelly Dudley, Eastern North America (Paleon) - IMPD USKDL001
#-----------------------------------------------------------------------
#               World Data Center for Paleoclimatology, Boulder
#                                   and
#                      NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# NOTE: Please cite original publication, online resource and date accessed when using this data.
# If there is no publication information, please cite Investigator, title, online resource and date accessed.
#
# Description/Documentation lines begin with #
# Data lines have no #
#
# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/21069
# Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/firehistory/charcoal/northamerica/uskdl001.txt
#
# Archive: Fire History
#
# Parameter_Keywords: 
#---------------------------------------
# Contribution_Date
#    Date: 2016-11-01
#---------------------------------------
# Title
#    Study_Name: Marlon Fire Data from Kelly Dudley, Eastern North America (Paleon) - IMPD USKDL001
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# Investigators
#      Investigators: Marlon, Jennifer; Umbanhowar, Charles
#---------------------------------------
# Description and Notes
#        Description:
#         Provided Keywords: fire, paleoclimate, climate, charcoal
#---------------------------------------
# Publication
# Authors: 
# Published_Date_or_Year: 
# Published_Title: 
# Journal_Name: 
# Volume: 
# Edition: 
# Issue: 
# Pages: 
# Report Number: 
# DOI: 
# Online_Resource: 
# Full_Citation: 
# Abstract: 
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# Funding_Agency
#    Funding_Agency_Name: 
#    Grant: 
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# Site Information
# Site_Name: Kelly Dudley (Paleon)
# Location: North America, United States of America, Minnesota
# Country: USA
# Northernmost_Latitude: 44.3523
# Southernmost_Latitude: 44.3523
# Easternmost_Longitude: -93.3708
# Westernmost_Longitude: -93.3708
# Elevation: 
#---------------------------------------
# Data_Collection
#   Collection_Name: USKDL001-CHAR
#   First_Year: 2061.2
#   Last_Year: -36.9
#   Time_Unit: cal yr BP
#   Core_Length: 
#   Notes: 
#---------------------------------------
# Chronology_Information 
# Chronology: 
# 
# Short name	What	Units	Data type	
# ID_DATE_INFO	NaN  NaN	
# ID_SITE	Site ID	NaN  C	
# CORE_NAME	Name of core	NaN  C	
# AVG_DEPTH (cm)	Average depth of aged sample	cm	N	
# THICKNESS	Thickness of sample	cm	N	
# ID_DATE_TYPE	NaN  NaN	C	
# AGE_CALIB	Calibrated age	NaN  N	
# AGE_C14	Carbon-14 Age	NaN  N	
# ERROR	positive/negative error	NaN  N	
# LAB_NUM	Lab number	NaN  N	
# ID_MAT_DATED	NaN  NaN	NaN	
# ID_COMMENTS	NaN  NaN	C	
# AGE_BASIS	Used for age model?	NaN  C	
# 
# ID_DATE_INFO	ID_SITE	CORE_NAME	AVG_DEPTH (m)	THICKNESS	ID_DATE_TYPE	AGE_CALIB	AGE_C14	ERROR	LAB_NUM	ID_MAT_DATED	ID_COMMENTS	AGE_BASIS	
#	1342		2		Top of core		-38	0				YES
#	1342		30		Pollen correlation		90	20				YES
#	1342		41		C14 date (uncorrected)		590	100				YES
#	1342		161		C14 date (uncorrected)		5700	50				YES 
#---------------------------------------
# Variables
# Data variables follow that are preceded by "##" in columns one and two.
# Variables list, one per line, shortname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data)
## depth-cm	Depth,,,cm ,,,,,N
## age-calBP	Age,,,calendar years BP,,,,,N
## char>125um	Charcoal,wet sediment,,count,,fire history,>125  um,,N
## vol-wetsed	Volume,wet sediment,,cm3,,fire history,used for charcoal counts,,N
#------------------------
# Data
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Value: 
depth-cm	age-calBP	char>125um	vol-wetsed	
2	-36.9	46	1.0	
6	-18.7	63	1.0	
10	-0.6	67	1.0	
14	16.8	55	1.0	
18	33.6	74	1.0	
22	50.3	89	1.0	
26	72.3	110	1.0	
29	88.7	114	1.0	
31	99.7	243	1.0	
33	154.2	146	1.0	
35	252.4	189	1.0	
37	350.6	110	1.0	
39	448.7	401	1.0	
41	546.9	121	1.0	
43	663.3	150	1.0	
45	798.1	170	1.0	
47	932.8	96	1.0	
49	1067.5	179	1.0	
51	1202.2	166	1.0	
53	1312.2	130	1.0	
55	1397.4	111	1.0	
57	1482.7	163	1.0	
59	1567.9	245	1.0	
61	1653.2	127	1.0	
63	1720.7	90	1.0	
65	1770.5	230	1.0	
67	1820.3	253	1.0	
69	1870.1	240	1.0	
71	1919.9	448	1.0	
73	1968.1	198	1.0	
75	2014.6	327	1.0	
77	2061.2	219	1.0