
Representative data from a series of spontaneous (sEPSC) currents
Source:R/Sample-datasets.R
sample_raw_sEPSC_df.RdThis is an example of the raw spontaneous current data produced using
make_normalized_EPSC_data(). It is useful for demonstrating functions that
build off of this dataset, such as make_pruned_EPSC_data() and plotting
functions like plot_raw_current_data() and plot_summary_current_data().
Format
An .rda file containing 5680 objects of 20 variables.
letterA character value that is a unique identifier for a single recording. Used to link data sets for evoked or spontaneous currents and cell-characteristics.
IDA character value for the recording filename.
recording_numA numeric value representing the recording number. This was incorporated before we switched to concatenating all recordings into one, but it needs to remain here to prevent breaking previous projects. It should be set to 1.
traceA numeric value representing the trace (automatically generated in Clampfit) where the current occurred.
time_of_peakA numeric value representing the time of the peak in milliseconds relative to trace number. This is automatically calculated in Clampfit.
amplitudeA numeric value representing the amplitude of the evoked current in pA.
cellA character or numeric value representing the cell. For example, use
3.1.1for animal #3, slice #1, cell #1.sexA character value (e.g. "Male" or "Female").
XA numeric value representing the x-value of the cell's location in µm. Leave this blank if you don't have this data.
YA numeric value representing the y-value of the cell's location in µm. Leave this blank if you don't have this data.
ageA numeric value representing the animal's age. Can be any value as long as the time units are consistent throughout (e.g. don't mix up days and months when reporting animal ages).
animalA numeric value representing the animal's ID or number.
synapsesA character value (e.g. "Glutamate" or "GABA").
notesAn optional column for notes.
days_aloneA numeric value describing the number of days that the animal was left alone in a cage. This typically ranges from 0 to 2. Fasted animals will have 1 day alone.
animal_or_slicing_problemsA character value ("yes" or "no") describing if there were any issues with the animal (for example, the animal was unusually anxious) or slicing (there were delays during the process, the slices were crumpling, etc.).
R_aA list of numeric values indicating the access resistance. Please see the documentation for the dataset
sample_cell_characteristics.treatmentA character value (e.g. "Control", "HNMPA") representing the antagonists or agonists applied, or any protocol applied to the animals (e.g. "Fasting").
categoryA numeric value representing the experiment type. Used to assign top-level groups for further analyses, with
treatmentas subgroups. For example, "1" may refer to an experiment where you applied high-frequency stimulation (HFS) to a cell, while "2" is an experiment where you added a hormone like leptin. "3" may be an experiment where you applied HFS in the continuous presence of leptin.timeA numeric value representing the absolute time when the current happened, relative to the start of the recording. This is autogenerated. See [add_new_cells() for a description of how the true time value (
time) is calculated from therecording_numandtrace.intervalA character value indicating the interval that the data point belongs to. For example,
intervalwill be "t0to5" for any data points from 0 to 5 minutes. Example values: "t0to5", "t5to10", etc.baseline_rangeA logical value required for the baseline transformation. It is set to TRUE when time is within the baseline period (e.g. Time <= 5) and FALSE at all other times.
baseline_meanA numeric value representing the mean evoked current amplitude during the baseline period. There is a different baseline_mean for each letter.
amplitude_transformedA numeric value representing the spontaneous current amplitude (pA) normalized relative to the mean spontaneous current amplitude during the recording's baseline.
See also
make_normalized_EPSC_data() and make_pruned_EPSC_data() for
functions that use this dataset.