# Gajewski.Clear_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-ClearPond.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-ClearPond.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.Clear_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: Clear Pond # Location: # Country: USA # Northernmost_Latitude: 33.8 # Southernmost_Latitude: 33.8 # Easternmost_Longitude: -79 # Westernmost_Longitude: -79 # Elevation: 513 #------------------ # Data_Collection # Collection_Name: # Earliest_Year: -10.0 # Most_Recent_Year: 1898.0 # 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 18.4 -10.0 1926.0 18.4 24.0 1892.0 19.1 58.0 1857.0 18.4 93.0 1823.0 18.9 127.0 1759.0 18.7 191.0 1702.0 18.6 248.0 1660.0 19.0 290.0 1622.0 18.2 328.0 1588.0 18.5 362.0 1555.0 18.9 395.0 1523.0 19.2 427.0 1495.0 18.9 455.0 1452.0 18.5 498.0 1413.0 18.8 537.0 1376.0 19.4 574.0 1341.0 19.1 609.0 1305.0 18.8 645.0 1268.0 18.4 682.0 1228.0 18.9 722.0 1183.0 18.6 767.0 1133.0 18.9 817.0 1080.0 18.8 870.0 1024.0 19.0 926.0 968.0 19.4 982.0 922.0 18.5 1028.0 875.0 19.3 1075.0 826.0 19.5 1124.0 779.0 19.8 1171.0 736.0 19.2 1214.0 698.0 19.0 1252.0 662.0 19.5 1288.0 628.0 19.8 1322.0 594.0 20.1 1356.0 560.0 20.8 1390.0 523.0 19.7 1427.0 491.0 19.8 1459.0 456.0 19.9 1494.0 417.0 20.3 1533.0 375.0 19.9 1575.0 332.0 20.1 1618.0 290.0 19.2 1660.0 249.0 19.5 1701.0 208.0 19.7 1742.0 166.0 19.3 1784.0 127.0 20.2 1823.0 89.0 19.8 1861.0 52.0 20.2 1898.0