This object contains several uncalibrated Carbon-14 measurements from Long
Lake (Nova Scotia-New Brunswick Border Region, Canada) core LL-PC2
(Dunnington et al. 2017; White 2012). The long_lake_bacon_ages object
contains the result of the Carbon-14 ages as
modelled by the rbacon package (Blaauw and Christen 2011).
long_lake_14C_ages
long_lake_bacon_ages
long_lake_plottableAn object of class tbl_df (inherits from tbl, data.frame) with 5 rows and 5 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 86 rows and 5 columns.
An object of class tbl_df (inherits from tbl, data.frame) with 51 rows and 10 columns.
Blaauw, Maarten, and J. Andrés Christen. "Flexible Paleoclimate Age-Depth Models Using an Autoregressive Gamma Process." Bayesian Analysis 6, no. 3 (September 2011): 457–74. doi:10.1214/ba/1339616472 .
Dunnington, Dewey W., Hilary White, Ian S. Spooner, Mark L. Mallory, Chris White, Nelson J. O’Driscoll, and Nic R. McLellan. "A Paleolimnological Archive of Metal Sequestration and Release in the Cumberland Basin Marshes, Atlantic Canada." FACETS 2, no. 1 (May 23, 2017): 440–60. doi:10.1139/facets-2017-0004 .
White, Hilary E. "Paleolimnological Records of Post-Glacial Lake and Wetland Evolution from the Isthmus of Chignecto Region, Eastern Canada." M.Sc. Thesis, Acadia University, 2012. https://scholar.acadiau.ca/islandora/object/theses:247.
long_lake_14C_ages
#> # A tibble: 5 × 5
#> core depth_cm age_14C age_error_14C type
#> <chr> <dbl> <dbl> <dbl> <chr>
#> 1 Dunnington et al. 2017 / LL-PC2 9 623 34 Carbon-14 age …
#> 2 Dunnington et al. 2017 / LL-PC2 37.3 575 18 Carbon-14 age …
#> 3 Dunnington et al. 2017 / LL-PC2 46 4396 55 Carbon-14 age …
#> 4 Dunnington et al. 2017 / LL-PC2 70.5 8482 28 Carbon-14 age …
#> 5 Dunnington et al. 2017 / LL-PC2 94 9148 49 Carbon-14 age …
long_lake_bacon_ages
#> # A tibble: 86 × 5
#> depth min max median wmean
#> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 9 536. 667 598. 603.
#> 2 10 572. 942. 695. 714.
#> 3 11 583. 1263. 775. 822.
#> 4 12 637. 1378. 893. 928.
#> 5 13 669. 1580. 996. 1034.
#> 6 14 738. 1703. 1112. 1144.
#> 7 15 787. 1922 1218. 1254.
#> 8 16 870. 2031. 1331. 1365.
#> 9 17 925. 2218. 1443. 1478.
#> 10 18 1014. 2329. 1556. 1589.
#> # … with 76 more rows
long_lake_plottable
#> # A tibble: 51 × 10
#> dataset location param depth value sd units zone n n_detect
#> <chr> <chr> <chr> <dbl> <dbl> <dbl> <chr> <chr> <int> <int>
#> 1 long_lake17 LL PC2 C/N 1 15.4 NA NA Unit 3 1 1
#> 2 long_lake17 LL PC2 C/N 6 15.8 0.290 NA Unit 3 2 2
#> 3 long_lake17 LL PC2 C/N 11 24.0 NA NA Unit 2 1 1
#> 4 long_lake17 LL PC2 C/N 16 21.4 NA NA Unit 2 1 1
#> 5 long_lake17 LL PC2 C/N 21 23.2 NA NA Unit 2 1 1
#> 6 long_lake17 LL PC2 C/N 26 25.4 NA NA Unit 2 1 1
#> 7 long_lake17 LL PC2 C/N 43 27.2 NA NA Unit 2 1 1
#> 8 long_lake17 LL PC2 C/N 48 24.3 NA NA Unit 2 1 1
#> 9 long_lake17 LL PC2 C/N 53 30.2 NA NA Unit 2 1 1
#> 10 long_lake17 LL PC2 C/N 63 24.4 NA NA Unit 2 1 1
#> # … with 41 more rows