diff --git a/README.md b/README.md
index e0fd903..57c36a7 100644
--- a/README.md
+++ b/README.md
@@ -34,7 +34,7 @@ ts.data('AOD_550nm')['stations']
 # start_times
 ts.data('AOD_550nm')['start_times']
 # stop_times
-ts.data('AOD_550nm')['stop_times']
+ts.data('AOD_550nm')['end_times']
 # latitudes
 ts.data('AOD_550nm')['latitudes']
 # longitudes
@@ -57,7 +57,7 @@ ts.data('AODGT1_550nm')['stations']
 # start_times
 ts.data('AODGT1_550nm')['start_times']
 # stop_times
-ts.data('AODGT1_550nm')['stop_times']
+ts.data('AODGT1_550nm')['end_times']
 # latitudes
 ts.data('AODGT1_550nm')['latitudes']
 # longitudes
diff --git a/pyproject.toml b/pyproject.toml
index e62713c..d91108d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "pyaro_readers"
-version = "0.0.2"
+version = "0.0.3"
 authors = [{ name = "MET Norway" }]
 description = "implementations of pyaerocom reading plugings using pyaro as interface'"
 readme = "README.md"
diff --git a/src/pyaro_readers/aeronetsdareader/AeronetSdaTimeseriesReader.py b/src/pyaro_readers/aeronetsdareader/AeronetSdaTimeseriesReader.py
index b0fbd1c..b8ab04a 100644
--- a/src/pyaro_readers/aeronetsdareader/AeronetSdaTimeseriesReader.py
+++ b/src/pyaro_readers/aeronetsdareader/AeronetSdaTimeseriesReader.py
@@ -59,6 +59,13 @@
 
 FILE_MASK = "*.ONEILL_lev*"
 
+TS_TYPE_DIFFS = {
+    "daily": np.timedelta64(12, "h"),
+    "instantaneous": np.timedelta64(0, "s"),
+    "points": np.timedelta64(0, "s"),
+    "monthly": np.timedelta64(15, "D"),
+}
+
 
 class AeronetSdaTimeseriesReader(AutoFilterReaderEngine.AutoFilterReader):
     def __init__(
@@ -67,6 +74,7 @@ def __init__(
         filters=[],
         fill_country_flag: bool = FILL_COUNTRY_FLAG,
         tqdm_desc: [str, None] = None,
+        ts_type: str = "daily",
     ):
         """open a new csv timeseries-reader
 
@@ -209,8 +217,9 @@ def __init__(
             day, month, year = row[DATE_NAME].split(":")
             datestring = "-".join([year, month, day])
             datestring = "T".join([datestring, row[TIME_NAME]])
-            start = np.datetime64(datestring)
-            end = start
+            time_dummy = np.datetime64(datestring)
+            start = time_dummy - TS_TYPE_DIFFS[ts_type]
+            end = time_dummy + TS_TYPE_DIFFS[ts_type]
 
             ts_dummy_data = {}
             for variable in DATA_VARS:
diff --git a/src/pyaro_readers/aeronetsunreader/AeronetSunTimeseriesReader.py b/src/pyaro_readers/aeronetsunreader/AeronetSunTimeseriesReader.py
index f1ea39c..d078ee4 100644
--- a/src/pyaro_readers/aeronetsunreader/AeronetSunTimeseriesReader.py
+++ b/src/pyaro_readers/aeronetsunreader/AeronetSunTimeseriesReader.py
@@ -48,6 +48,13 @@
 
 FILL_COUNTRY_FLAG = False
 
+TS_TYPE_DIFFS = {
+    "daily": np.timedelta64(12, "h"),
+    "instantaneous": np.timedelta64(0, "s"),
+    "points": np.timedelta64(0, "s"),
+    "monthly": np.timedelta64(15, "D"),
+}
+
 
 class AeronetSunTimeseriesReader(AutoFilterReaderEngine.AutoFilterReader):
     def __init__(
@@ -56,8 +63,9 @@ def __init__(
         filters=[],
         fill_country_flag: bool = FILL_COUNTRY_FLAG,
         tqdm_desc: [str, None] = None,
+        ts_type: str = "daily",
     ):
-        """open a new csv timeseries-reader
+        """open a new Aeronet timeseries-reader
 
                 :param filename: str
                 :param filters:
@@ -65,7 +73,7 @@ def __init__(
                 :param tqdm_desc:
                 :param filename_or_obj_or_url: path-like object to csv-file
 
-                input file looks like this:
+                input file looks like this (daily file; times noted are middle times):
         AERONET Version 3;
         Cuiaba
         Version 3: AOD Level 2.0
@@ -157,8 +165,9 @@ def __init__(
             day, month, year = row[DATE_NAME].split(":")
             datestring = "-".join([year, month, day])
             datestring = "T".join([datestring, row[TIME_NAME]])
-            start = np.datetime64(datestring)
-            end = start
+            time_dummy = np.datetime64(datestring)
+            start = time_dummy - TS_TYPE_DIFFS[ts_type]
+            end = time_dummy + TS_TYPE_DIFFS[ts_type]
 
             ts_dummy_data = {}
             for variable in DATA_VARS: