The goal of EMBSeCBIO is to provide functions to work with the Eastern Mediterranean-Black Sea-Caspian-Corridor region and biome reconstructions database.
You can(not) install the released version of EMBSeCBIO from CRAN with:
# install.packages("embsecbio")
And the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("special-uor/embsecbio")
Obtain the top 10 sites and their corresponding metadata:
`%>%` <- magrittr::`%>%`
embsecbio::site %>%
dplyr::slice(1:10) %>%
knitr::kable()
ID_SITE | site_name | latitude | longitude | elevation | site_type | basin_size | catch_size |
---|---|---|---|---|---|---|---|
2 | Sakhare | 41.58 | 45.32 | 800 | lacustrine, playa | small (0.01-1 km2) | small (<10 km2) |
3 | Kumisi | 41.58 | 44.83 | 469 | lacustrine, natural open-water, tectonic lake | medium (1.1-50 km2) | small (<10 km2) |
4 | Tsavkisi | 41.68 | 44.72 | 1100 | terrestrial, mire, bog | small (0.01-1 km2) | small (<10 km2) |
5 | Imera | 41.65 | 44.22 | 1610 | terrestrial, mire, bog | small (0.01-1 km2) | small (<10 km2) |
6 | Aligol | 41.63 | 44.02 | 1550 | terrestrial, mire, bog | small (0.01-1 km2) | small (<10 km2) |
7 | Ispani-II | 41.87 | 41.80 | 2 | terrestrial, mire, bog, raised bog | medium (1.1-50 km2) | small (<10 km2) |
8 | Lake Urmia | 37.50 | 45.50 | 1297 | lacustrine, natural open-water | very large (>500 km2) | large (>500 km2) |
9 | Adange | 43.31 | 41.33 | 1750 | fluvial | small (0.01-1 km2) | small (<10 km2) |
10 | Amtkel | 43.27 | 41.31 | 1830 | fluvial | small (0.01-1 km2) | small (<10 km2) |
11 | Gagra 471 | 43.28 | 40.27 | 0 | fluvial | small (0.01-1 km2) | small (<10 km2) |
Obtain the top 10 entities and their corresponding metadata:
`%>%` <- magrittr::`%>%`
embsecbio::entity %>%
dplyr::slice(1:10) %>%
knitr::kable()
ID_ENTITY | ID_SITE | entity_name | latitude | longitude | elevation | source | entity_type | mod_or_0ka_class | comments |
---|---|---|---|---|---|---|---|---|---|
2 | 2 | Sakhare core 1 | 41.58 | 45.32 | 800 | EMBSECBIO | core | PCT | if sample age = modern |
3 | 3 | Kumisi core 1 | 41.58 | 44.83 | 469 | EMBSECBIO | core | PCT | if sample age = modern |
4 | 4 | Tsavkisi core 1 | 41.68 | 44.72 | 1100 | EMBSECBIO | core | PCT | if sample age = modern |
5 | 5 | Imera core 1 | 41.65 | 44.22 | 1610 | EMBSECBIO | core | PCT | if sample age = modern |
6 | 6 | Aligol core 1 | 41.63 | 44.02 | 1550 | NOAA | core | PCT | if sample age = modern |
7 | 7 | Ispani II core 1 | 41.87 | 41.80 | 2 | EMBSECBIO | peat core | PCT | if sample age = modern |
8 | 8 | Urmia core 20 | 37.50 | 45.50 | 1297 | NOAA | core | PCT | if sample age = modern |
9 | 9 | Adange core 1 | 43.31 | 41.33 | 1750 | NOAA | core | PCT | if sample age = modern |
10 | 10 | Amtkel core 1 | 43.27 | 41.31 | 1830 | NOAA | core | PCT | if sample age = modern |
11 | 11 | Gagra #471 | 43.28 | 40.27 | 0 | NOAA | profile or section | PCT | if sample age = modern |
Find entities linked to sites:
`%>%` <- magrittr::`%>%`
ents <- embsecbio::site %>%
dplyr::slice(1:4) %>%
embsecbio::get_entities()
ents %>%
knitr::kable()
ID_ENTITY | ID_SITE | entity_name | latitude | longitude | elevation | source | entity_type | mod_or_0ka_class | comments |
---|---|---|---|---|---|---|---|---|---|
2 | 2 | Sakhare core 1 | 41.58 | 45.32 | 800 | EMBSECBIO | core | PCT | if sample age = modern |
3 | 3 | Kumisi core 1 | 41.58 | 44.83 | 469 | EMBSECBIO | core | PCT | if sample age = modern |
4 | 4 | Tsavkisi core 1 | 41.68 | 44.72 | 1100 | EMBSECBIO | core | PCT | if sample age = modern |
5 | 5 | Imera core 1 | 41.65 | 44.22 | 1610 | EMBSECBIO | core | PCT | if sample age = modern |
1169 | 2 | Sakhare-2 | 41.58 | 45.32 | 800 | EMBSECBIO | surface sample | SS | NA |
1170 | 2 | Sakhare-3 | 41.58 | 45.32 | 800 | EMBSECBIO | surface sample | SS | NA |
1171 | 2 | Sakhare-4 | 41.58 | 45.32 | 800 | EMBSECBIO | surface sample | SS | NA |
1172 | 3 | Kumisi-2 | 41.58 | 44.83 | 469 | EMBSECBIO | surface sample | SS | NA |
1173 | 3 | Kumisi-3 | 41.58 | 44.83 | 469 | EMBSECBIO | surface sample | SS | NA |
1174 | 3 | Kumisi-4 | 41.58 | 44.83 | 469 | EMBSECBIO | surface sample | SS | NA |
1175 | 4 | Tsavkisi-1 | 41.68 | 44.72 | 1100 | EMBSECBIO | surface sample | SS | NA |
1176 | 4 | Tsavkisi-2 | 41.68 | 44.72 | 1100 | EMBSECBIO | surface sample | SS | NA |
1177 | 4 | Tsavkisi-3 | 41.68 | 44.72 | 1100 | EMBSECBIO | surface sample | SS | NA |
1178 | 4 | Tsavkisi-4 | 41.68 | 44.72 | 1100 | EMBSECBIO | surface sample | SS | NA |
1186 | 5 | Imera-1 | 41.65 | 44.22 | 1610 | EMBSECBIO | sediment sample | SS | NA |
1187 | 5 | Imera-2 | 41.65 | 44.22 | 1610 | EMBSECBIO | sediment sample | SS | NA |
1188 | 5 | Imera-3 | 41.65 | 44.22 | 1610 | EMBSECBIO | sediment sample | SS | NA |
1189 | 5 | Imera-4 | 41.65 | 44.22 | 1610 | EMBSECBIO | sediment sample | SS | NA |
1197 | 2 | Sakhare-1 | 41.58 | 45.32 | 800 | EMBSECBIO | surface sample | SS | NA |
- Harrison, Sandy and Marinova, Elena (2017): EMBSeCBIO modern pollen biomisation. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.109