diff --git a/seppy/loader/wind.py b/seppy/loader/wind.py
index 0cdfec6..de802ff 100644
--- a/seppy/loader/wind.py
+++ b/seppy/loader/wind.py
@@ -180,6 +180,9 @@ def wind3dp_download(dataset, startdate, enddate, path=None, **kwargs):
             if not os.path.exists(f):
                 # downloaded_file = Fido.fetch(result[0][i], path=path, max_conn=max_conn)
                 downloaded_file = wind3dp_single_download(files[i], path=path)
+                if downloaded_file == []:
+                    print('Trying download from CDAWeb...')
+                    downloaded_file = Fido.fetch(result[0][i], path=path)  #, max_conn=max_conn)
 
     except (RuntimeError, IndexError):
         print(f'Unable to obtain "{dataset}" data for {startdate}-{enddate}!')
@@ -279,22 +282,31 @@ def wind3dp_load(dataset, startdate, enddate, resample="1min", multi_index=True,
         metacdf = cdflib.CDF(path_to_metafile)
 
         e_mean = df.filter(like='ENERGY_').mean()
-        # ∼30% ΔE/E => ΔE = 0.3*E
         # from Table 3 of Wilson et al. 2021, https://doi.org/10.1029/2020RG000714
-        delta_e = 0.3 * e_mean
+        # ∼30% ΔE/E => ΔE = 0.3*E
+        if dataset in ['WI_SFSP_3DP', 'WI_SFPD_3DP', 'WI_SOSP_3DP', 'WI_SOPD_3DP']:
+            delta_e = 0.3 * e_mean
+        # ∼20% ΔE/E => ΔE = 0.2*E
+        elif dataset in ['WI_ELSP_3DP', 'WI_ELPD_3DP', 'WI_EHSP_3DP', 'WI_EHPD_3DP']:
+            delta_e = 0.2 * e_mean
         e_low = e_mean - delta_e
         e_high = e_mean + delta_e
         energies = pd.concat([e_mean, delta_e, e_low, e_high], axis=1, keys=['mean_E', 'DE', 'lower_E', 'upper_E'])
         energies['Bins_Text']= np.around(e_low/1e3, 2).astype('string') +' - '+ np.around(e_high/1e3, 2).astype('string') + ' keV'
 
         meta = {'channels_dict_df': energies,
-                'APPROX_ENERGY_LABELS': metacdf.varget('APPROX_ENERGY_LABELS'),
                 'ENERGY_UNITS': metacdf.varattsget('ENERGY')['UNITS'],
                 'FLUX_UNITS': metacdf.varattsget('FLUX')['UNITS'],
                 'FLUX_FILLVAL': metacdf.varattsget('FLUX')['FILLVAL'],
-                'FLUX_LABELS': metacdf.varget('FLUX_ENERGY_LABL'),
                 }
 
+        # for SFSP, SOSP, SFPD, SFSP:
+        try:
+            meta['APPROX_ENERGY_LABELS'] = metacdf.varget('APPROX_ENERGY_LABELS')
+            meta['FLUX_LABELS'] = metacdf.varget('FLUX_ENERGY_LABL')
+        except:
+            pass
+
         # create multi-index data frame of flux
         if multi_index:
             if dataset == 'WI_SFPD_3DP' or dataset == 'WI_SOPD_3DP':