diff --git a/python_scripts/arc_sst_anom.py b/python_scripts/arc_sst_anom.py
index f62fbf2..505e317 100644
--- a/python_scripts/arc_sst_anom.py
+++ b/python_scripts/arc_sst_anom.py
@@ -3,9 +3,14 @@ import matplotlib.pyplot as plt
 import numpy, pandas
 import requests
 
+sst_urls = {
+        "world": "https://climatereanalyzer.org/clim/sst_daily/json/oisst2.1_world2_sst_day.json",
+        "natlan": "https://climatereanalyzer.org/clim/sst_daily/json/oisst2.1_natlan1_sst_day.json"
+        }
+
 start_range = 29 
 start_year = 1982
-res = requests.get('https://climatereanalyzer.org/clim/sst_daily/json/oisst2.1_natlan1_sst_day.json') 
+res = requests.get(sst_urls['world'])
 data = json.loads(res.text)
 data = data[1:-3]
 
@@ -13,15 +18,15 @@ temps = numpy.array([i['data'] for i in data], numpy.float32).T
 cols = [i['name'] for i in data] 
 
 df = pandas.DataFrame(temps, columns = cols)
+for col in cols:
+    if int(col) % 4 != 0:
+        df[col].iloc[60:] = df[col].iloc[60:].shift(1)
 mean = df[df.columns[:start_range + 1]].mean(axis=1) 
 sd = df[df.columns[:start_range + 1]].std(axis=1) 
 diffs = pandas.DataFrame(columns = cols, dtype=numpy.float32) 
 for col in cols[start_range:]: 
-    if int(col) % 4 != 0:
-        df[col].iloc[60:] = df[col].iloc[60:].shift(1)
-    i = cols.index(col) 
     diffs[col] = (df[col] - mean) / sd 
-series = diffs.melt().drop('variable', axis=1) 
+series = diffs.melt().drop('variable', axis=1).rename(columns={'value': f'sd ({start_year}-{start_year + start_range})'})
 series.plot(figsize=(20,5))
 plt.xticks(numpy.arange(0,len(series),366)[start_range+1:], (numpy.arange(0, len(series), 366)[start_range+1:] / 366 + start_year).astype(int)) # fix labels
 plt.show()