diff --git a/cobaya/collection.py b/cobaya/collection.py
index 8da770d6..e0c5d11c 100644
--- a/cobaya/collection.py
+++ b/cobaya/collection.py
@@ -96,7 +96,7 @@ def compute_temperature(logpost, logprior, loglike, check=True, extra_tolerance=
     """
     Returns the temperature of a sample.
 
-    If ``check=True`` and the log-probabilites passed are arrays, checks consistency
+    If ``check=True`` and the log-probabilities passed are arrays, checks consistency
     of the sample temperature, and raises ``AssertionError`` if inconsistent.
     """
     temp = (logprior + loglike) / logpost
@@ -286,8 +286,7 @@ def __init__(self, model, output=None, cache_size=_default_cache_size, name=None
             self.reset()
         # If loaded, check sample weights, consistent logp sums,
         # and temperature (ignores the given one)
-        samples_loaded = len(self) > 0
-        if samples_loaded:
+        if len(self) > 0:
             try:
                 try:
                     self.temperature = self._check_logps(extra_tolerance=False)
@@ -499,8 +498,9 @@ def _check_logps(self, temperature_only=False, extra_tolerance=False):
                 check=True, extra_tolerance=extra_tolerance)
         except AssertionError as excpt:
             raise LoggedError(
-                self.log, "The sample seems to have an inconsistent temperature.") \
-                from excpt
+                self.log, "The sample seems to have an inconsistent temperature.  "
+                          "This could be due to input file truncation on the last line "
+                          "due to crash/being killed before complete.") from excpt
         if not temperature_only:
             tols = {
                 "rtol": 1e-4 * (10 if extra_tolerance else 1),
diff --git a/cobaya/tools.py b/cobaya/tools.py
index 9cb21ead..903ce6a0 100644
--- a/cobaya/tools.py
+++ b/cobaya/tools.py
@@ -457,6 +457,19 @@ def read_dnumber(n: Any, dim: int):
     return NumberWithUnits(n, "d", dtype=int, scale=dim).value
 
 
+def truncate_to_end_line(file_name):
+    with open(file_name, "r+b") as inp:
+        # Find the last complete line
+        inp.seek(0, 2)  # Go to the end of the file
+        pos = inp.tell() - 1
+        while pos > 0 and inp.read(1) != b"\n":
+            pos -= 1
+            inp.seek(pos, 0)
+        if pos > 0:
+            inp.seek(pos + 1, 0)
+            inp.truncate()
+
+
 def load_DataFrame(file_name, skip=0, root_file_name=None):
     """
     Loads a `pandas.DataFrame` from a text file
@@ -493,7 +506,17 @@ def load_DataFrame(file_name, skip=0, root_file_name=None):
             inp, sep=" ", header=None, names=cols, comment="#", skipinitialspace=True,
             skiprows=skip, index_col=False)
 
-        return data
+    if not data.empty:
+        # Check if the last row contains any NaNs
+        if data.iloc[-1].isna().any():
+            log.warning("Last row of %s is incomplete or contains NaNs", file_name)
+            # If the second-to-last row exists and doesn't contain NaNs,
+            # delete the last row assuming this was due to crash on write
+            if len(data) > 1 and not data.iloc[-2].isna().any():
+                data = data.iloc[:-1]
+                log.info(f"Saving {file_name} deleting last (in)complete line")
+                truncate_to_end_line(file_name)
+    return data
 
 
 def prepare_comment(comment):