diff --git a/pyzebra/app/panel_1D_detector.py b/pyzebra/app/panel_1D_detector.py
index 52d72f0..1c33ecf 100644
--- a/pyzebra/app/panel_1D_detector.py
+++ b/pyzebra/app/panel_1D_detector.py
@@ -14,6 +14,7 @@ from bokeh.models import (
     LinearAxis,
     Panel,
     Plot,
+    Select,
     Spacer,
 )
 
@@ -21,20 +22,22 @@ import pyzebra
 
 
 def create():
+    det_data = {}
+
     def upload_button_callback(_attr, _old, new):
+        nonlocal det_data
         with io.StringIO(base64.b64decode(new).decode()) as file:
             _, ext = os.path.splitext(upload_button.filename)
-            res = pyzebra.parse_1D(file, ext)
-            for _, meas in res["Measurements"].items():
-                y = meas["Counts"]
-                x = list(range(len(y)))
-                break
+            det_data = pyzebra.parse_1D(file, ext)
 
-            plot_line_source.data.update(x=x, y=y)
+        meas_list = list(det_data["Measurements"].keys())
+        meas_select.options = meas_list
+        meas_select.value = meas_list[0]
 
     upload_button = FileInput(accept=".ccl")
     upload_button.on_change("value", upload_button_callback)
 
+    # Main plot
     plot = Plot(
         x_range=DataRange1d(),
         y_range=DataRange1d(),
@@ -52,7 +55,17 @@ def create():
     plot_line_source = ColumnDataSource(dict(x=[0], y=[0]))
     plot.add_glyph(plot_line_source, Line(x="x", y="y", line_color="steelblue"))
 
+    # Measurement select
+    def meas_select_callback(_attr, _old, new):
+        y = det_data["Measurements"][new]["Counts"]
+        x = list(range(len(y)))
+
+        plot_line_source.data.update(x=x, y=y)
+
+    meas_select = Select()
+    meas_select.on_change("value", meas_select_callback)
+
     upload_div = Div(text="Upload .ccl file:")
-    tab_layout = column(row(column(Spacer(height=5), upload_div), upload_button), plot)
+    tab_layout = column(row(column(Spacer(height=5), upload_div), upload_button, meas_select), plot)
 
     return Panel(child=tab_layout, title="1D Detector")