# Marlon Fire Data from Lily Lake, Eastern North America (Paleon) - IMPD USLLY001 #----------------------------------------------------------------------- # 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/21070 # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/firehistory/charcoal/northamerica/uslly001.txt # # Archive: Fire History # # Parameter_Keywords: #--------------------------------------- # Contribution_Date # Date: 2016-11-01 #--------------------------------------- # Title # Study_Name: Marlon Fire Data from Lily Lake, Eastern North America (Paleon) - IMPD USLLY001 #--------------------------------------- # 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: #--------------------------------------- # Funding_Agency # Funding_Agency_Name: # Grant: #--------------------------------------- # Site Information # Site_Name: Lily Lake (Paleon) # Location: North America, United States of America, Minnesota # Country: USA # Northernmost_Latitude: 44.1912 # Southernmost_Latitude: 44.1912 # Easternmost_Longitude: -93.6401 # Westernmost_Longitude: -93.6401 # Elevation: #--------------------------------------- # Data_Collection # Collection_Name: USLLY001-CHAR # First_Year: 578 # Last_Year: -44.1 # 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 # 1343 2 Top of core -45 0 YES # 1343 100 Pollen correlation 90 20 YES # 1343 131 C14 date (uncorrected) 190 60 YES # 1343 185 C14 date (uncorrected) 710 60 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 -44.1 4 1.0 6 -43.7 10 1.0 10 -33 20 1.0 14 -17.9 23 1.0 18 -4.1 25 1.0 22 3.1 46 1.0 26 12.4 64 1.0 30 15.2 79 1.0 34 16.5 79 1.0 38 18.6 92 1.0 42 21.3 88 1.0 46 29.5 86 1.0 50 31.6 105 1.0 54 34.5 136 1.0 58 40.5 113 1.0 62 47.6 75 1.0 66 50.7 89 1.0 70 57.7 56 1.0 74 63.9 79 1.0 78 67.5 102 1.0 82 69.5 95 1.0 86 79.6 58 1.0 90 87.2 83 1.0 93 92.4 122 1.0 95 96.2 83 1.0 97 99.9 89 1.0 99 100.9 157 1.0 101 101.9 138 1.0 103 103.2 225 1.0 105 104.7 301 1.0 107 106.1 256 1.0 109 109.3 277 1.0 111 112.5 193 1.0 113 115.2 251 1.0 115 117.3 325 1.0 117 119.4 341 1.0 119 142.4 424 1.0 121 165.4 367 1.0 123 177.6 384 1.0 125 179.1 637 1.0 127 180.6 501 1.0 129 217.1 283 1.0 131 253.6 660 1.0 133 275.8 702 1.0 135 283.7 733 1.0 137 291.6 905 1.0 139 297.9 892 1.0 141 304.2 1088 1.0 143 321.9 534 1.0 145 351.1 479 1.0 147 380.3 623 1.0 149 382.7 689 1.0 151 385 671 1.0 153 391.3 918 1.0 155 401.5 782 1.0 157 411.7 498 1.0 159 421.5 599 1.0 161 431.3 480 1.0 163 439 460 1.0 165 444.4 703 1.0 167 449.9 722 1.0 169 466.8 454 1.0 171 483.7 147 1.0 173 494.6 458 1.0 175 499.5 369 1.0 177 504.4 528 1.0 179 532.9 1190 1.0 181 561.4 1193 1.0 183 576.1 1122 1.0 185 577 1520 1.0 187 578 1222 1.0