# Marlon Fire Data from Goose Lake, Eastern North America (Paleon) - IMPD USGSL001 #----------------------------------------------------------------------- # 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/21066 # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/firehistory/charcoal/northamerica/usgss001.txt # # Archive: Fire History # # Parameter_Keywords: #--------------------------------------- # Contribution_Date # Date: 2016-11-01 #--------------------------------------- # Title # Study_Name: Marlon Fire Data from Goose Lake, Eastern North America (Paleon) - IMPD USGSS001 #--------------------------------------- # 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: Goose Lake (Paleon) # Location: North America, United States of America, Minnesota # Country: USA # Northernmost_Latitude: 44.9855 # Southernmost_Latitude: 44.9855 # Easternmost_Longitude: -94.5863 # Westernmost_Longitude: -94.5863 # Elevation: #--------------------------------------- # Data_Collection # Collection_Name: USGSL001-CHAR # First_Year: 1540.6 # Last_Year: -41.1 # 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 # 1340 2 Top of core -43 0 YES # 1340 52 Pollen correlation 90 20 YES # 1340 91 C14 date (uncorrected) 1180 40 YES # 1340 171 C14 date (uncorrected) 2190 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 -41.1 32 1.0 6 -34.5 77 1.0 10 -26.2 122 1.0 14 -19.3 127 1.0 18 -15.2 112 1.0 22 -14 105 1.0 26 -10.1 60 1.0 30 11.1 46 1.0 33 24.9 91 1.0 35 25.4 113 1.0 37 25.9 84 1.0 39 31.8 62 1.0 41 37.7 128 1.0 43 41.3 165 1.0 45 42.8 93 1.0 47 44.3 96 1.0 49 54.6 138 1.0 51 65 495 1.0 53 81.7 1117 1.0 55 104.8 627 1.0 57 127.9 434 1.0 59 141.4 1095 1.0 61 154.9 387 1.0 63 168.7 425 1.0 65 182.8 638 1.0 67 196.9 744 1.0 69 240.3 1468 1.0 71 283.7 1156 1.0 73 350 322 1.0 75 439.1 394 1.0 77 528.2 674 1.0 79 534.8 1034 1.0 81 541.5 1002 1.0 83 571.6 848 1.0 85 625.2 410 1.0 87 678.8 582 1.0 89 805.4 1064 1.0 91 932.1 1340 1.0 93 1007.4 1272 1.0 95 1031.3 912 1.0 97 1055.2 1406 1.0 99 1065.2 1044 1.0 101 1075.1 1170 1.0 103 1085.5 926 1.0 105 1096.4 782 1.0 107 1107.2 802 1.0 109 1132.8 750 1.0 111 1158.4 790 1.0 113 1173.3 502 1.0 115 1177.6 536 1.0 117 1181.9 410 1.0 119 1191.5 338 1.0 121 1201 748 1.0 123 1219.5 474 1.0 125 1247.1 596 1.0 127 1274.6 870 1.0 129 1277.8 930 1.0 131 1281 1382 1.0 133 1288.2 828 1.0 135 1299.5 872 1.0 137 1310.8 724 1.0 139 1333.8 804 1.0 141 1356.9 1030 1.0 143 1372.3 1272 1.0 145 1380 1058 1.0 147 1387.7 1328 1.0 149 1421.4 1216 1.0 151 1455.1 1196 1.0 153 1475.3 1070 1.0 155 1482.2 1456 1.0 157 1489.1 1186 1.0 159 1492 1016 1.0 161 1495 912 1.0 163 1501.9 710 1.0 165 1512.9 1142 1.0 167 1523.9 1286 1.0 169 1532.2 1252 1.0 171 1540.6 1332 1.0