# Gajewski.Conroy_Lake.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-ConroyLake.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-ConroyLake.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.Conroy_Lake.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: Conroy Lake # Location: # Country: USA # Northernmost_Latitude: 46.3 # Southernmost_Latitude: 46.3 # Easternmost_Longitude: -67.9 # Westernmost_Longitude: -67.9 # Elevation: 140 #------------------ # Data_Collection # Collection_Name: # Earliest_Year: -17.0 # Most_Recent_Year: 1940.0 # 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 1967.0 17.1 -17.0 1959.0 17.7 -9.0 1951.0 17.2 -1.0 1943.0 17.6 7.0 1935.0 17.3 15.0 1927.0 17.1 23.0 1919.0 17.7 31.0 1911.0 17.6 39.0 1904.0 16.8 46.0 1896.0 17.2 54.0 1888.0 17.3 62.0 1880.0 17.4 70.0 1872.0 17.3 78.0 1864.0 16.6 86.0 1856.0 16.9 94.0 1848.0 16.9 102.0 1840.0 17.1 110.0 1832.0 17.5 118.0 1824.0 16.7 126.0 1816.0 17.3 134.0 1808.0 17.5 142.0 1786.0 17.0 164.0 1765.0 17.0 185.0 1725.0 17.9 225.0 1664.0 18.2 286.0 1614.0 17.5 336.0 1568.0 18.1 382.0 1526.0 18.0 424.0 1488.0 18.1 462.0 1453.0 18.2 497.0 1421.0 18.3 529.0 1390.0 18.2 560.0 1360.0 18.3 590.0 1331.0 18.6 619.0 1307.0 19.0 643.0 1282.0 18.8 668.0 1256.0 18.7 694.0 1229.0 18.5 721.0 1200.0 18.2 750.0 1167.0 18.6 783.0 1134.0 18.6 816.0 1098.0 19.4 852.0 1061.0 18.5 889.0 1023.0 19.2 927.0 986.0 19.0 964.0 947.0 18.3 1003.0 906.0 18.9 1044.0 864.0 18.1 1086.0 820.0 18.6 1130.0 779.0 19.2 1171.0 741.0 18.0 1209.0 702.0 18.5 1248.0 667.0 18.8 1283.0 634.0 18.8 1316.0 601.0 19.1 1349.0 567.0 18.6 1383.0 531.0 18.8 1419.0 493.0 18.8 1457.0 449.0 19.2 1501.0 400.0 18.1 1550.0 349.0 18.7 1601.0 298.0 18.4 1652.0 246.0 18.1 1704.0 196.0 17.7 1754.0 146.0 19.1 1804.0 100.0 18.5 1850.0 54.0 19.2 1896.0 10.0 18.7 1940.0