Contains information linking the entities to their original sources
(including the IBERIAN subset (Harrison et al., 2022a),
EMBSeCBIO (Harrison et al., 2021),
NEOTOMA (Williams et al., 2018) and
RPD (Harrison et al., 2022a)). Represents the external_link
table in the
database.
external_link
A data frame (tibble
object) with
1977 rows and 7
variables:
Unsigned integer
: Unique identifier for the site,
multiple entities can be located within the same site
Unsigned integer
: Unique identifier for the entity
Unsigned integer
:
Unsigned integer
: Unique identifier for the entity
Text
:
Text
:
Text
:
Harrison, S.P., Marinova, E. and Cruz-Silva, E.: EMBSeCBIO pollen database. University of Reading. Dataset. doi: https://doi.org/10.17864/1947.309, 2021.
Harrison, S.P., Shen, Y. and Sweeney, L.: Pollen data and charcoal data of the Iberian Peninsula (version 3). University of Reading. Dataset. doi: https://doi.org/10.17864/1947.000369, 2022a.
Harrison, S.P., Villegas-Diaz, R., Lincoln, P., Kesner, D., Cruz-Silva, E., Sweeney, L., Shen, Y. and Gallagher, D.: The Reading Palaeofire Database v1b: an expanded global resource to document changes in fire regimes from sedimentary charcoal records. University of Reading. Dataset. doi: https://doi.org/10.17864/1947.000345, 2022b.
Williams, J.W., Grimm, E.G., Blois, J., Charles, D.F., Davis, E., Goring, S.J., Graham, R., Smith, A.J., Anderson, M., Arroyo-Cabrales, J., Ashworth, A.C., Betancourt, J.L., Bills, B.W., Booth, R.K., Buckland, P., Curry, B., Giesecke, T., Hausmann, S., Jackson, S.T., Latorre, C., Nichols, J., Purdum, T., Roth, R.E., Stryker, M., Takahara, H.: The Neotoma Paleoecology Database: A multi-proxy, international community-curated data resource. Quaternary Research 89, 156-177. http://www.neotomadb.org/, 2018.
external_link_tb <- special.epd::external_link
head(external_link_tb)
#> # A tibble: 6 × 7
#> ID_SITE ID_ENTITY external_ID_SITE external_ID_ENTITY external_site_name
#> <int> <int> <int> <int> <chr>
#> 1 1 1 27489 49347 Aalkistensee
#> 2 2 2 1791 2116 Aammiq
#> 3 2 2 27554 49501 Aammiq
#> 4 3 3 27556 49505 Aansser peat bog
#> 5 4 4 15736 24161 Abant Gölü
#> 6 5 5 1342 1732 Abborrtjarnen
#> # … with 2 more variables: external_entity_name <chr>, external_source <chr>