# Gajewski.Basin_Pond.1988 #----------------------------------------------------------------------- # 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://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/pages2k-temperature-v2-2017/data-version-2.0.0/NAm-BasinPond.Gajewski.1988.txt # Online_Resource_Description: This file. NOAA WDS Paleo formatted metadata and data for version 2.0.0 of this dataset. # # Online_Resource: https://www1.ncdc.noaa.gov/pub/data/paleo/pages2k/pages2k-temperature-v2-2017/data-version-2.0.0/NAm-BasinPond.Gajewski.1988.lpd # Online_Resource_Description: Linked Paleo Data (LiPD) formatted file containing the same metadata and data as this file, for version 2.0.0 of this dataset. # # Original_Source_URL: https://www.ncdc.noaa.gov/paleo/study/6221 # Description/Documentation lines begin with # # Data lines have no # # # Archive: lake sediment # Parameter_Keywords: # Dataset_DOI: # #------------------ # Contribution_Date # Date: #------------------ # File_Last_Modified_Date # Modified_Date: 2017-05-19 #------------------ # Title # Study_Name: Gajewski.Basin_Pond.1988 #------------------ # Investigators # Investigators: Gajewski, K. #------------------ # Description_Notes_and_Keywords # Description: #------------------ # Publication # Authors: Gajewski, K. # Published_Date_or_Year: 1988 # Published_Title: Late Holocene climate changes in eastern North America estimated from pollen data # Journal_Name: Quaternary Research # Volume: 29 # Edition: # Issue: 3 # Pages: 255-262 # Report: # DOI: 10.1016/0033-5894(88)90034-8 # Online_Resource: doi.org # Full_Citation: # Abstract: #------------------ # Funding_Agency # Funding_Agency_Name: # Grant: #------------------ # Site_Information # Site_Name: Basin Pond # Location: # Country: USA # Northernmost_Latitude: 44.5 # Southernmost_Latitude: 44.5 # Easternmost_Longitude: -70.1 # Westernmost_Longitude: -70.1 # Elevation: 124 #------------------ # Data_Collection # Collection_Name: # Earliest_Year: -10.0 # Most_Recent_Year: 1588.0 # Time_Unit: BP # Core_Length: # Notes: #------------------ # Species # Species_Name: # Species_Code: # Common_Name: #------------------ # Chronology: #------------------ # Variables # # Data variables follow that are preceded by "##" in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components ( 10 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data, additional_information) # ##year Year AD, ,,AD, , lake sediment, ,,N, ##temperature Mean temperature of the warmest month, ,,degC, 7, lake sediment, ,,, ; climateInterpretation_seasonality changed - was originally July; ##age Years before present (1950) BP, ,,BP, , lake sediment, ,,N, # #------------------ # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header) # Missing_Values: nan # year temperature age 1960.0 19.2 -10.0 1950.0 18.9 0.0 1935.0 18.9 15.0 1919.0 19.9 31.0 1904.0 18.4 46.0 1888.0 19.6 62.0 1873.0 18.9 77.0 1857.0 18.8 93.0 1842.0 19.0 108.0 1831.0 19.0 119.0 1824.0 18.9 126.0 1818.0 19.0 132.0 1812.0 19.3 138.0 1805.0 19.1 145.0 1783.0 19.4 167.0 1768.0 19.5 182.0 1753.0 19.4 197.0 1742.0 19.5 208.0 1731.0 19.5 219.0 1712.0 19.8 238.0 1679.0 19.5 271.0 1648.0 19.4 302.0 1621.0 19.5 329.0 1596.0 19.9 354.0 1557.0 19.6 393.0 1500.0 19.2 450.0 1450.0 18.9 500.0 1405.0 20.1 545.0 1364.0 19.6 586.0 1322.0 20.4 628.0 1291.0 19.9 659.0 1280.0 19.8 670.0 1235.0 20.1 715.0 1199.0 19.8 751.0 1163.0 20.6 787.0 1123.0 20.3 827.0 1082.0 20.2 868.0 1039.0 19.8 911.0 996.0 20.3 954.0 952.0 20.2 998.0 908.0 20.2 1042.0 865.0 20.3 1085.0 821.0 20.2 1129.0 780.0 20.4 1170.0 742.0 20.4 1208.0 707.0 20.0 1243.0 674.0 20.0 1276.0 644.0 19.7 1306.0 614.0 20.4 1336.0 584.0 20.7 1366.0 553.0 20.6 1397.0 519.0 20.4 1431.0 483.0 20.4 1467.0 442.0 19.8 1508.0 398.0 20.4 1552.0 362.0 20.1 1588.0