# Arctic vegetation, temperature, and hydrology during Early Eocene transient global warming events #----------------------------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # Template Version 3.0 # Encoding: UTF-8 # 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/26590 # Description: NOAA Landing Page # Online_Resource: http://www1.ncdc.noaa.gov/pub/data/paleo/contributions_by_author/willard2019/willard2019-bioclimestimates.txt # Description: NOAA location of the template # # Data_Type: paleoceanography # # Dataset_DOI: 10.25921/bbyg-0837 # # Parameter_Keywords: population abundance, reconstruction #--------------------------------------- # Contribution_Date # Date: 2019-04-09 #--------------------------------------- # File_Last_Modified_Date # Date: 2019-04-09 #--------------------------------------- # Title # Study_Name: Arctic vegetation, temperature, and hydrology during Early Eocene transient global warming events #--------------------------------------- # Investigators # Investigators: Willard, D.A.; Donders, T.H.; Reichgelt, T.; Greenwood, D.r.; Sangiorgi, F.; Peterse, F.; Nierop, K.G.J.; Frieling, J.; Schouten, S.; Sluijs, A. #--------------------------------------- # Description_Notes_and_Keywords # Description: Pollen, palynofacies, lipid biomarker, and bioclimatic record from late Paleocene and early Eocene hyperthermals preserved in ocean sediments on Lomonosov Ridge, Arctic Ocean (IODP Site 302-4A, Arctic Coring Expedition (ACEX)). This study focused on latest Paleocene through early Eocene sediments from 365-395 mcd in the core. All pollen counts represent results of analyses by DAW. Presence of taxa outside of the count are represented by "P", which includes data from counts undertaken by THD. Samples from 388.42 - 388.02 mcd and 381.51 - 380.31 mcd were affected by drilling disturbancs, and these samples were not included in statistical analyses or bioclimatic estimates. #--------------------------------------- # Publication # Authors: Willard, D.A., Donders, T.H., Reichgelt, T., Greenwood, D.r., Sangiorgi, F., Peterse, F., Nierop, K.G.J., Frieling, J., Schouten, S., Sluijs, A. # Published_Date_or_Year: 2019 # 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: IODP 302 # Location: Arctic Ocean # Country: # Northernmost_Latitude: 87.8667 # Southernmost_Latitude: 87.8667 # Easternmost_Longitude: 136.1773 # Westernmost_Longitude: 136.1773 # Elevation: -1288 #--------------------------------------- # Data_Collection # Collection_Name: IODP302-4A bioClim estimates Willard2019 # First_Year: # Last_Year: # Time_Unit: # Core_Length: 428 # Notes: #--------------------------------------- # Chronology_Information # Chronology: #--------------------------------------- # 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 depth,,,meter,,climate reconstructions; pollen,,,N,meters composite depth ## MAT_lo temperature,,95% confidence interval lower bound,degree Celsius,annual,climate reconstructions; pollen,,,N, ## MAT temperature,,,degree Celsius,annual,climate reconstructions; pollen,,,N, ## MAT_hi temperature,,95% confidence interval upper bound,degree Celsius,annual,climate reconstructions; pollen,,,N, ## SUMT_lo temperature,,95% confidence interval lower bound,degree Celsius,Jun-Aug,climate reconstructions; pollen,,,N, ## SUMT temperature,,,degree Celsius,Jun-Aug,climate reconstructions; pollen,,,N, ## SUMT_hi temperature,,95% confidence interval upper bound,degree Celsius,Jun-Aug,climate reconstructions; pollen,,,N, ## WINT_lo temperature,,95% confidence interval lower bound,degree Celsius,Dec-Feb,climate reconstructions; pollen,,,N, ## WINT temperature,,,degree Celsius,Dec-Feb,climate reconstructions; pollen,,,N, ## WINT_hi temperature,,95% confidence interval upper bound,degree Celsius,Dec-Feb,climate reconstructions; pollen,,,N, ## AP_lo precipitation,,95% confidence interval lower bound,millimeter,annual,climate reconstructions; pollen,,,N, ## AP precipitation,,,millimeter,annual,climate reconstructions; pollen,,,N, ## AP_hi precipitation,,95% confidence interval upper bound,millimeter,annual,climate reconstructions; pollen,,,N, ## SUMP_lo precipitation,,95% confidence interval lower bound,millimeter,Jun-Aug,climate reconstructions; pollen,,,N, ## SUMP precipitation,,,millimeter,Jun-Aug,climate reconstructions; pollen,,,N, ## SUMP_hi precipitation,,95% confidence interval upper bound,millimeter,Jun-Aug,climate reconstructions; pollen,,,N, ## WINP_lo precipitation,,95% confidence interval lower bound,millimeter,Dec-Feb,climate reconstructions; pollen,,,N, ## WINP precipitation,,,millimeter,Dec-Feb,climate reconstructions; pollen,,,N, ## WINP_hi precipitation,,95% confidence interval upper bound,millimeter,Dec-Feb,climate reconstructions; pollen,,,N, #------------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: NA depth MAT_lo MAT MAT_hi SUMT_lo SUMT SUMT_hi WINT_lo WINT WINT_hi AP_lo AP AP_hi SUMP_lo SUMP SUMP_hi WINP_lo WINP WINP_hi 367.49 9.0 10.9 13.3 16.4 17.9 21.3 -0.9 3.6 7.4 794 911 1148 204 252 339 151 205 269 367.89 8.8 10.7 13.3 15.8 17.8 22.0 -1.1 3.5 7.5 794 920 1148 206 256 347 151 208 275 368.27 8.5 10.0 13.1 15.3 17.2 21.3 -0.1 2.6 7.3 776 881 1072 199 239 339 158 210 269 368.33 9.4 11.3 14.1 16.3 18.4 22.0 1.1 4.1 8.6 759 857 1047 195 236 309 145 190 257 368.43 9.2 11.0 13.5 15.9 18.0 20.4 1.0 3.9 8.1 794 879 1047 197 237 316 151 200 269 368.62 9.8 11.6 13.9 16.3 18.5 22.0 1.1 4.6 8.1 794 891 1047 195 241 324 152 199 257 368.71 10.0 12.4 14.3 16.7 18.5 22.6 1.2 5.9 8.9 813 939 1072 206 266 339 163 205 257 368.87 15.5 17.2 18.1 19.4 22.2 23.4 10.3 11.6 13.3 832 940 1072 224 296 331 151 183 234 368.99 8.7 9.8 12.4 15.6 17.2 19.6 0.5 2.3 6.5 773 850 1023 200 230 309 151 204 251 369.17 10.6 13.2 15.3 16.8 18.9 22.8 0.6 7.1 9.9 819 976 1288 224 303 407 149 199 275 369.39 11.5 13.7 15.4 17.4 19.3 22.2 3.7 7.8 10.7 776 909 1072 196 274 339 145 188 257 369.49 9.5 11.5 13.6 16.7 18.4 22.1 -0.9 4.4 7.6 832 928 1148 205 256 324 146 204 257 369.7 8.9 11.6 14.2 16.1 18.6 22.8 -1.5 4.2 8.8 871 1027 1349 224 301 417 157 222 324 369.87 16.0 17.0 17.5 21.1 22.2 22.8 10.3 11.3 12.1 832 910 977 224 277 302 151 178 229 370.07 11.4 13.4 15.1 17.1 18.8 22.0 3.6 7.5 10.0 813 952 1122 221 286 363 152 200 257 370.38 9.0 11.2 13.6 15.7 17.9 21.3 -0.5 4.3 7.9 813 930 1148 214 263 355 151 205 263 370.6 12.2 13.9 15.2 17.7 19.3 21.6 5.8 8.1 10.1 794 925 1072 214 280 331 151 191 240 370.7 11.8 13.8 16.0 17.1 19.1 22.2 3.8 8.0 11.2 794 941 1122 216 284 363 151 196 257 370.79 9.0 10.3 13.7 15.8 17.5 21.3 0.9 3.0 8.1 717 810 1023 174 216 295 135 193 275 371.31 12.1 13.5 15.1 17.3 18.7 20.3 5.6 7.9 10.1 891 992 1202 246 294 372 174 209 275 371.61 12.7 14.2 15.5 17.9 19.3 20.8 6.1 8.7 10.8 891 997 1202 251 300 372 163 206 269 371.91 10.8 12.8 14.6 16.3 18.3 20.3 4.3 7.0 9.5 813 951 1096 219 275 347 162 206 257 372.08 10.8 12.7 14.3 16.5 18.3 20.3 4.3 6.8 9.1 813 952 1096 219 279 347 162 205 257 372.98 10.9 13.2 15.1 16.6 18.8 21.0 4.2 7.4 10.1 747 907 1072 194 265 339 145 192 257 373.26 12.1 13.6 15.1 17.5 19.1 21.1 5.8 7.8 10.0 813 937 1072 222 283 347 152 195 240 373.88 11.8 13.3 14.8 17.3 18.7 20.5 5.4 7.5 9.6 832 951 1096 234 282 347 158 201 257 374.18 13.6 15.0 16.5 18.4 19.9 21.6 6.6 9.7 11.7 912 1006 1202 246 306 372 167 207 263 374.78 15.5 16.9 17.9 19.8 21.5 22.6 10.3 11.6 12.8 955 1102 1259 275 333 380 179 231 316 375.08 12.3 13.9 15.4 17.6 18.9 20.3 6.1 8.4 10.6 871 971 1122 245 283 347 174 206 257 375.71 12.2 13.7 15.1 17.4 18.8 20.3 6.1 8.2 10.1 871 968 1122 240 280 339 174 206 251 376.01 12.5 14.2 15.5 17.7 19.2 20.5 6.2 8.8 10.8 912 1009 1230 251 301 389 174 210 275 376.31 12.3 14.1 16.0 17.7 19.4 22.2 5.7 8.3 10.9 813 945 1122 234 292 372 148 193 251 376.91 13.2 14.7 16.3 18.1 19.7 21.6 6.6 9.2 11.3 855 983 1202 247 299 380 159 202 263 378.22 11.8 13.2 14.7 17.1 18.5 20.3 5.4 7.5 9.6 871 958 1072 234 278 347 170 206 251 378.41 12.4 13.9 15.3 17.8 19.1 21.1 5.8 8.2 10.1 871 976 1122 246 292 363 167 204 251 378.61 12.9 14.5 16.0 18.1 19.6 21.6 6.1 9.0 11.1 854 975 1122 246 294 363 167 202 251 378.81 11.8 13.4 15.0 17.4 18.9 21.5 5.2 7.6 9.6 874 991 1122 246 298 372 174 209 257 379.01 11.8 13.4 15.1 17.1 18.7 21.0 5.7 7.7 10.1 832 948 1072 221 274 331 170 203 240 381.72 12.1 13.5 14.9 17.4 18.7 20.3 5.8 7.9 10.0 871 961 1072 240 278 324 170 206 251 381.83 11.1 12.7 14.1 16.6 18.1 19.6 5.0 7.0 8.9 851 953 1047 219 270 324 170 209 251 382.03 14.9 16.3 17.5 19.2 21.1 22.8 9.4 11.1 12.7 871 939 1047 224 276 302 166 193 229 382.23 12.1 13.6 15.1 17.5 19.0 21.1 5.8 7.8 10.0 813 942 1072 214 276 331 163 200 240 382.43 15.4 16.8 17.9 19.7 21.7 22.8 10.1 11.4 12.5 873 989 1122 224 298 339 170 201 245 382.63 15.9 17.2 18.0 21.0 22.2 23.4 10.3 11.5 12.5 871 968 1072 224 300 339 162 190 234 382.83 14.1 15.0 17.0 18.5 19.6 22.0 8.6 10.0 11.5 814 919 1000 214 258 295 162 194 229 383.03 9.4 11.0 13.5 16.0 18.2 20.5 1.2 3.7 7.9 776 857 1000 195 232 302 151 193 251 383.23 11.8 13.7 15.1 18.0 19.3 21.8 5.3 7.9 10.7 776 886 1000 186 249 302 155 188 234 383.35 16.3 17.1 17.5 21.6 22.2 22.8 10.8 11.4 12.1 832 908 977 224 272 295 151 179 229 383.55 11.9 13.7 15.2 17.7 19.3 21.8 5.4 7.9 10.5 776 893 1000 200 265 316 152 186 229 383.75 11.0 13.2 15.1 17.1 18.9 22.6 3.2 7.2 10.1 776 914 1072 186 263 339 151 196 257 383.95 12.6 14.1 16.0 17.7 19.4 22.2 5.9 8.5 10.9 813 941 1072 215 280 331 158 196 240 384.15 16.5 17.4 18.1 21.4 22.4 23.4 11.0 11.8 13.3 852 941 1047 246 295 324 159 184 234 384.35 10.2 12.0 13.7 16.4 18.6 20.5 2.0 5.2 8.1 776 866 977 191 229 288 146 192 234 385.8 16.3 17.3 18.1 21.3 22.3 23.4 10.8 11.7 13.3 871 967 1096 246 306 347 155 187 245 385.93 16.3 17.0 17.5 19.9 22.0 22.8 10.8 11.6 13.9 744 896 977 187 260 288 151 180 240 386.1 13.2 14.8 16.5 18.4 19.8 22.2 6.6 9.4 11.3 871 988 1148 246 300 372 167 204 251 388.62 11.4 13.3 14.9 17.1 18.6 20.5 5.0 7.7 10.1 794 916 1023 214 254 295 160 198 234 388.82 12.6 14.4 16.1 17.9 19.7 22.2 5.6 8.7 10.9 871 1019 1230 252 322 417 156 202 275 389.02 11.5 13.2 14.8 17.1 18.7 22.0 3.5 7.3 9.6 836 969 1122 236 292 372 159 204 257 389.22 10.8 12.7 14.3 16.7 18.3 20.3 4.3 6.8 8.9 832 950 1072 219 279 347 162 203 251 389.42 9.3 11.7 13.9 16.5 18.7 22.8 -1.5 4.2 8.2 871 1019 1288 225 301 398 163 219 288 389.52 10.8 12.9 14.5 16.6 18.6 21.0 3.0 6.9 9.5 776 899 1047 192 253 316 145 195 257 389.72 8.5 10.0 13.5 15.1 17.2 21.3 0.3 2.7 7.9 661 796 1000 162 214 288 132 192 282 389.92 10.8 12.9 14.9 16.3 18.5 21.0 3.9 7.1 10.0 776 910 1047 193 258 331 149 197 257 390.12 11.8 13.7 15.3 17.4 19.1 21.6 5.2 7.8 10.1 832 963 1122 241 294 372 152 199 257 390.32 11.4 13.2 14.8 17.1 18.6 21.0 5.1 7.4 9.6 832 956 1096 221 282 347 162 204 257 390.52 11.0 13.2 15.0 17.1 18.7 21.1 3.0 7.3 9.6 891 1041 1288 258 333 427 159 207 282 390.72 12.2 13.6 15.0 17.6 19.0 21.1 5.6 7.9 10.0 891 986 1122 251 296 372 174 207 257