diff --git a/pylipd/globals/schema.py b/pylipd/globals/schema.py
index a81574d..79025b7 100644
--- a/pylipd/globals/schema.py
+++ b/pylipd/globals/schema.py
@@ -27,7 +27,7 @@
             'fromJson': '_parse_persons'
         },
         'archiveType': {
-            'name': 'proxyArchiveType',
+            'name': 'archiveType', # Changed from proxyArchiveType
             'alternates':[
                 'archive',
                 'paleoDataArchive',
diff --git a/pylipd/usage.py b/pylipd/usage.py
index 3b00d7d..82ebbd0 100644
--- a/pylipd/usage.py
+++ b/pylipd/usage.py
@@ -70,20 +70,21 @@
 exit()
 '''
 
-
 # Load from local
 lipd = LiPD()
-data_path = local_lipd_dir + '/Ocn-Palmyra.Nurhati.2011.lpd'
-lipd.load(data_path)
+# data_path = local_lipd_dir + '/Ocn-Palmyra.Nurhati.2011.lpd'
+# lipd.load(data_path)
+
+lipd.load("/Users/varun/Downloads/18.1.Franklin.Bolshoye.2024.lpd")
 print(lipd.get_all_dataset_names())
 
 #lipdfiles = [local_lipd_dir + "/" + dsname + ".lpd" for dsname in dsnames]
 #print(lipdfiles)
 
 #lipd.load(lipdfiles)
-lipd.load_from_dir("examples/data")
+# lipd.load_from_dir("examples/data")
 
-lipd.load_from_dir("/Users/varun/Downloads/example_sisal_lipds")
+# lipd.load_from_dir("/Users/varun/Downloads/example_sisal_lipds")
 print(lipd.get_all_dataset_names())
 
 lat = -77.08
diff --git a/pylipd/utils/lipd_to_rdf.py b/pylipd/utils/lipd_to_rdf.py
index 8f6cb58..3309985 100644
--- a/pylipd/utils/lipd_to_rdf.py
+++ b/pylipd/utils/lipd_to_rdf.py
@@ -66,8 +66,25 @@ def convert(self, lipdpath):
                 self.lipd_csvs = {}
                 for csvpath, _ in csvs:
                     csvname = os.path.basename(csvpath)        
-                    self.lipd_csvs[csvname] = pd.read_csv(csvpath, header=None)
-                self._load_lipd_json_to_graph(jsonpath)                    
+                    try:
+                        self.lipd_csvs[csvname] = pd.read_csv(csvpath, header=None)
+                    except:
+                        # If normal load doesn't work, try to detect the number of columns and load it that way
+                        print(f"WARNING: CSV file '{csvname}' might have inconsistent number of columns !!\nDetecting number of columns to load ..\n")
+                        self.lipd_csvs[csvname] = self._detect_columns_and_load(csvpath)
+                self._load_lipd_json_to_graph(jsonpath)
+
+    def _detect_columns_and_load(self, filename):
+        # detect number of columns
+        num_columns=0
+        with open(filename) as f:
+            for line in f.readlines():
+                num = len(line.split(','))
+                if num > num_columns:
+                    num_columns=num
+        # load with pre-determined number of columns
+        df=pd.read_csv(filename,names=range(num_columns))
+        return df
 
 
     def serialize(self, topath, type="rdf"):