Details and Metadata
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Methods
The methods followed in the creation of the dataset, including description of field, laboratory and processing steps, and quality control procedures
No methods recorded for this dataset
Dataset Fields
Detailed documentation of the fields comprising the dataset, including the type of measurement, units where applicable, and any controlled vocabularies or code lists present in the data
| Field Name | Caption | Description | Additional Information |
|---|---|---|---|
| lake | lake | Lake name | Measurement type: Nominal |
| stationid | stationid | Unique ID for location of sampling; could be more than one per lake | Measurement type: Nominal |
| device | device | Device used to collect phytoplankton samples | Measurement type: Nominal |
| mesh_um | mesh_um | mesh size in microns; use NaN if device is not net | Measurement type: Interval Unit: unavailable |
| integrated_y_n | integrated_y_n | is the sample integrated over depth range? yes or no | Measurement type: Nominal |
| min_depth_m | min_depth_m | Minimum depth of integrated sample (in most cases this is 0); if sample is from a single depth put this depth here and also as max_depth_m | Measurement type: Ratio Unit: unavailable |
| max_depth_m | max_depth_m | Maximum depth of integrated sample; if sample is from a single depth put this depth here and also as min_depth_m | Measurement type: Ratio Unit: unavailable |
| date_dd_mm_yyyy | date_dd_mm_yyyy | date | Measurement type: DateTime Date/Time Format: DD-MM-YYYY |
| phyto_name | phyto_name | Name of phytoplankton genus and species, or other taxonomic classification | Measurement type: Nominal |
| cell_colony_density_ind_l | cell_colony_density_ind_l | cells or colonies per liter; use of cell or colony density will depend on sampling program or taxa | Measurement type: Ratio Units: individuals per liter |
| biovol_um3_ml | biovol_um3_ml | Phytoplankton biovolume in cubic micrometers per milliliter | Measurement type: Ratio Units: cubic micrometers per milliliter |
| biomass_ug_l | biomass_ug_l | Phytoplankton biomass in micrograms per liter | Measurement type: Ratio Unit: unavailable |
| genus | genus | genus of phyto_name; if not applicable, use NaN | Measurement type: Nominal |
| MFG | MFG | morpho-functional group classification | Measurement type: Nominal |
| CSR | CSR | comp | Measurement type: Nominal |
Sampling Equipment
Equipment and software used to collect data, including how that equipment was used.
No sampling equipment recorded for this dataset
Site Characteristics
The spatial extent of the dataset site coverage, and descriptions of the spatial extent and context for the data collection
- Site Description
Rimov Reservoir
Minimum Altitude: 470 meters
Dataset Notes
Notes describing any special conditions or considerations for understanding the quality and consistency of the data
| Start Date | End Date | Note | Date Entered |
|---|---|---|---|
| 2021-07-06 00:00:00 | 2021-07-06 23:59:59 | When using these data, please include in your Acknowledgments the following "Data from Rimov were collected and evaluated with the support of the Czech Science Foundation, research project 15-13750S." | 2021-07-06 08:22:22 |
| 2021-03-22 00:00:00 | 2021-03-22 23:59:59 | Phytoplankton were assigned to morpho-functional group (MFG; Salmaso et al. 2015) and CSR (Reynolds 1988). Species with functional trait data in Rimet et al. (2019) were classified using criteria in Salmaso et al. (2015). Unclassified species were assigned to MFG based on library of species- and genus-level classifications derived from online trait databases and published literature. Library is available in the algaeClassify R package. CSR classifications were assigned based on Reynolds et al. (1988) where surface area (SA), volume (VOL), and linear dimension (LD) were available. SA and VOL refer to the biological unit (single cell for unicellular species, colony dimensions for a colonial species). If only LD and cell/colony geometries were available, SA and VOL calculations were calculated from Hillebrand et al. (1999). When relevant trait values were not available, CSR groups were assigned based on MFG classifications and a cross-mapping between functional traits associated with MFG and CSR groups, which was derived by the GEISHA group (Stockwell et al. 2020). All methods can be implemented in algaeClassify R package. Classifications reflect typical morphological characteristics of phytoplankton species under the conditions of common study. However, classifications are based on plastic traits that can vary among systems, seasons, and environmental change. We encourage users to derive functional classifications based on site- and time-specific trait data when possible. | 2021-03-22 19:24:42 |