diff --git a/src/hdf5_lib.py b/src/hdf5_lib.py
index 92babfe..8e58bf0 100644
--- a/src/hdf5_lib.py
+++ b/src/hdf5_lib.py
@@ -482,7 +482,7 @@ import os
 import src.g5505_utils as utils
 import h5py
 import src.metadata_review_lib as metadata_lib
-def save_processed_dataframe_to_hdf5(df, annotator, src_hdf5_path, script_date, script_name):
+def save_processed_dataframe_to_hdf5(df, annotator, output_filename): # src_hdf5_path, script_date, script_name):
     """
     Save processed dataframe columns with annotations to an HDF5 file.
 
@@ -505,9 +505,9 @@ def save_processed_dataframe_to_hdf5(df, annotator, src_hdf5_path, script_date,
     # Get metadata
     metadata_dict = annotator.get_metadata()
 
-    # Prepare project level attributes
+    # Prepare project level attributes to be added at the root level
 
-    root_level_attributes = metadata_dict['metadata']['project']
+    project_level_attributes = metadata_dict['metadata']['project']
     
     # Prepare high-level attributes
     high_level_attributes = {
@@ -524,13 +524,10 @@ def save_processed_dataframe_to_hdf5(df, annotator, src_hdf5_path, script_date,
         if isinstance(value,dict):
             data_level_attributes[key] = metadata_lib.parse_attribute(value)
 
-    # Generate output filename
-    parent_file_name = os.path.split(src_hdf5_path)[1]
-    output_filename = f'data_products/processed/fig_{script_date}_{parent_file_name}'
 
     # Prepare file dictionary
     file_dict = {
-        'name': script_name,
+        'name': project_level_attributes['script_name'],
         'attributes_dict': high_level_attributes,
         'datasets': [{
             'name': "data_table",
@@ -540,9 +537,19 @@ def save_processed_dataframe_to_hdf5(df, annotator, src_hdf5_path, script_date,
         }]
     }
 
+    # Check if the file exists
+    if os.path.exists(output_filename):
+        mode = "a"
+        print(f"File {output_filename} exists. Opening in append mode.")        
+    else:
+        mode = "w"
+        print(f"File {output_filename} does not exist. Creating a new file.")
+
+
     # Write to HDF5
-    with h5py.File(output_filename, 'w') as h5file:
-        h5file.attrs.update(root_level_attributes)
+    with h5py.File(output_filename, mode) as h5file:
+        # Add project level attributes at the root/top level
+        h5file.attrs.update(project_level_attributes)
         transfer_file_dict_to_hdf5(h5file, '/', file_dict)