Description
Summary:The FORCIS (Foraminifera Response to Climatic Stress) databaseis a synthesis grouping datasets on living planktonic foraminifera. We assembled foraminiferal diversity and distribution data in the global oceans from 1910 until 2018, curating published and unpublished datasets. This database includes data collected using plankton tows, continuous plankton recorder, sediment traps and plankton pump from the global ocean. The FORCIS database version 01is composed of 5 files (“.csv” format). All data coming from different sampling devices were put into separate “.csv” files. Only the data of the CPR from the Southern Hemisphere have been separated from the Northern Hemisphere CPR data as the data structure is not the same (species counts resolved vs. binned total counts, respectively). Apart from the file of CPR data from the Northern Hemisphere that contains only metadata and binned total counts, all the remaining four files contain 4 blocks: Block 1: metadata (from column 1 to 71) Block 2: original counts (from column 72 to 274) Block 3: generated counts based on the validated taxonomy (from column 275 to 331). We added “_VT” to each species name to distinguish it from other taxonomy levels. E.g. “g_bulloides” became “g_bulloides_VT”. The number of species counted per subsample is also reported in the column “number_of_species_counted_VT” Block 4: generated counts based on the lumped taxonomy (from column 332 to 379). In this case, we added “_LT” to each species name. E.g. “n_dutertrei” became “n_dutertrei_VT”. We also calculated the number of species counted per subsample and reported it in the column “number_of_species_counted_LT” Foraminifera abundance data counts are reported in different categories in the blocks 1,2 and 3 and described in the table below: count_type unit Absolute ind/m3 Relative % Raw number of individuals Fluxes ind/m2/day Bin_Absolute ind/m3 Bin_Relative % Bin_Raw number of individuals Bin_Fluxes ind/m2/day For more details about the FORCIS database column description, please check the data ...