diff --git a/src/sp2xr/schema.py b/src/sp2xr/schema.py
index ff576a8..48f77d0 100644
--- a/src/sp2xr/schema.py
+++ b/src/sp2xr/schema.py
@@ -20,7 +20,6 @@ CANONICAL_DTYPES = {
     "Scatt numb within range": pd.Float64Dtype(),
     "BC mass": pd.Float64Dtype(),
     "BC mass within range": pd.Float64Dtype(),
-    # "BC mass bin":             pd.Int64Dtype(),
     "BC numb": pd.Int64Dtype(),
     "BC numb from file": pd.Int64Dtype(),
     "BC numb within range": pd.Float64Dtype(),
@@ -42,20 +41,6 @@ CANONICAL_DTYPES = {
     "BC_massConc_within_range_vol": pd.Float64Dtype(),
     "BC_massConc_std": pd.Float64Dtype(),
     "BC_massConc_vol": pd.Float64Dtype(),
-    # counters / QC flags
-    # "cnts_thin":                pd.Int64Dtype(),
-    # "cnts_thick":              pd.Int64Dtype(),
-    # "cnts_unclassified":       pd.Int64Dtype(),
-    # "cnts_thin_noScatt":        pd.Int64Dtype(),
-    # "cnts_thick_sat": pd.Int64Dtype(),
-    # "cnts_thin_sat": pd.Int64Dtype(),
-    # "cnts_ntl_sat": pd.Int64Dtype(),
-    # "cnts_ntl": pd.Int64Dtype(),
-    # "cnts_extreme_positive_timelag": pd.Int64Dtype(),
-    # "cnts_thin_low_inc_scatt_ratio": pd.Int64Dtype(),
-    # "cnts_particles_for_tl_dist": pd.Int64Dtype(),
-    # "cnts_thin_total": pd.Int64Dtype(),
-    # "cnts_thick_total": pd.Int64Dtype(),
     **{
         c: pd.Int64Dtype()
         for c in [
@@ -77,17 +62,6 @@ CANONICAL_DTYPES = {
             "temporary_col",
         ]
     },
-    # "flag_valid_inc_signal_in_range": 'boolean',
-    # "flag_valid_inc_signal":   'boolean',
-    # "flag_inc_not_sat": 'boolean',
-    # "flag_valid_scatt_signal": 'boolean',
-    # "flag_extreme_positive_timelag": 'boolean',
-    # "flag_scatt_not_sat": 'boolean',
-    # "flag_valid_scatt_signal_in_range": 'boolean',
-    # "flag_negative_timelag": 'boolean',
-    # "flag_valid_timelag_thin": 'boolean',
-    # "flag_valid_timelag_thick":'boolean',
-    # "flag_low_ratio_inc_scatt": 'boolean',
     **{
         c: "boolean"
         for c in [
@@ -107,7 +81,6 @@ CANONICAL_DTYPES = {
     # timing
     "calculated_time": "datetime64[us]",
     "time_lag": pd.Float64Dtype(),
-    # "temporary_col": pd.Float64Dtype(),
     "Sample Flow Controller Read (vccm)": pd.Float64Dtype(),
     "Sample Flow Controller Read (sccm)": pd.Float64Dtype(),
     "Dropped Records": pd.Float64Dtype(),
@@ -116,27 +89,6 @@ CANONICAL_DTYPES = {
 
 DEFAULT_FLOAT = pd.Float64Dtype()
 
-'''def enforce_schema(ddf: dd.DataFrame) -> dd.DataFrame:
-    """Return a dataframe that matches the hard-coded CANONICAL_DTYPES."""
-    # 1. add columns that are missing in this partition
-    """for col, dtype in CANONICAL_DTYPES.items():
-        if col not in ddf.columns:
-            ddf[col] = pd.Series(pd.NA, dtype=dtype)"""
-
-    # 2. cast *only* the columns whose dtype differs
-    mismatched = {
-        col: dtype
-        for col, dtype in CANONICAL_DTYPES.items()
-        if ddf[col].dtype != dtype
-    }
-    if mismatched:
-        ddf = ddf.astype(mismatched)
-
-    # 3. drop unexpected columns (optional but safest)
-    ddf = ddf[[*CANONICAL_DTYPES]]
-
-    return ddf'''
-
 
 def enforce_schema(
     ddf: dd.DataFrame,