diff --git a/pyglotaran_extras/plotting/plot_doas.py b/pyglotaran_extras/plotting/plot_doas.py
index cf75dbdc..477779b5 100644
--- a/pyglotaran_extras/plotting/plot_doas.py
+++ b/pyglotaran_extras/plotting/plot_doas.py
@@ -37,6 +37,7 @@ def plot_doas(
     cycler: Cycler | None = PlotStyle().cycler,
     oscillation_type: Literal["cos", "sin"] = "cos",
     title: str | None = "Damped oscillations",
+    legend_format_string: str = "{label}: v={frequency:.0f}, Γ={rate:.1f}",
 ) -> tuple[Figure, Axes]:
     """Plot DOAS (Damped Oscillation) related data of the optimization result.
 
@@ -74,6 +75,11 @@ def plot_doas(
         Type of the oscillation to show in the oscillation plot. Defaults to "cos"
     title: str | None
         Title of the figure. Defaults to "Damped oscillations"
+    legend_format_string: str
+        Format string for each entry in the legend of the oscillation plot. Possible values which
+        can be replaced are ``label`` (label of the oscillation in the model definition),
+        ``frequency`` and ``rate``. Use ``""`` to remove the legend. Defaults to
+        ``"{label}: v={frequency:.0f}, Γ={rate:.1f}"``
 
     Returns
     -------
@@ -115,10 +121,22 @@ def plot_doas(
 
     norm_factor = scales.max() if normalize is True else 1
 
-    ((oscillations - 1) / osc_max * scales * norm_factor).sel(**time_sel_kwargs).plot.line(
-        x="time", ax=axes[0]
+    oscillations_to_plot = ((oscillations - 1) / osc_max * scales * norm_factor).sel(
+        **time_sel_kwargs
     )
 
+    for oscillation_label in oscillations_to_plot.damped_oscillation.values:
+        oscillation = oscillations_to_plot.sel(damped_oscillation=[oscillation_label])
+        frequency = oscillation.damped_oscillation_frequency.item()
+        rate = oscillation.damped_oscillation_rate.item()
+        oscillation.plot.line(
+            x="time",
+            ax=axes[0],
+            label=legend_format_string.format(
+                label=oscillation_label, frequency=frequency, rate=rate
+            ),
+        )
+
     (oscillations_spectra / spectra_max * scales / norm_factor).plot.line(x="spectral", ax=axes[1])
 
     damped_oscillation_phase.plot.line(x="spectral", ax=axes[2])
@@ -134,6 +152,11 @@ def plot_doas(
     )
     axes[2].set_ylabel("Phase (π)")
 
+    if not legend_format_string:
+        axes[0].get_legend().remove()
+    else:
+        axes[0].legend()
+
     axes[1].get_legend().remove()
     axes[2].get_legend().remove()