diff --git a/fishbook/backend/database.py b/fishbook/backend/database.py
index a84ab45..b9ce3d2 100644
--- a/fishbook/backend/database.py
+++ b/fishbook/backend/database.py
@@ -3,9 +3,10 @@ import datajoint as dj
 import nixio as nix
 import os
 import glob
+import socket
 from fishbook.backend.util import read_info_file, read_dataset_info, read_stimuli_file
 from fishbook.backend.util import find_key_recursive, deep_get, find_mtags_for_tag
-from fishbook.backend.util import mtag_settings_to_yaml, nix_metadata_to_yaml
+from fishbook.backend.util import mtag_settings_to_yaml, nix_metadata_to_yaml, progress
 import uuid
 import yaml
 
@@ -18,6 +19,7 @@ class Datasets(dj.Manual):
        dataset_id : varchar(256)
        ----
        data_source : varchar(512) # path to the dataset
+       data_host : varchar(512) # fully qualified domain name
        experimenter : varchar(512)
        setup : varchar(128) 
        recording_date : date
@@ -32,8 +34,8 @@ class Datasets(dj.Manual):
         if id is not None:
             d = dict((Datasets() & {"dataset_id": id}).fetch1())
             return d
-        return dict(dataset_id=None, data_source="", experimenter="", setup="", recording_date=None,
-                    quality="", comment="", duration=0.0, has_nix=False)
+        return dict(dataset_id=None, data_source="", data_host="", experimenter="", setup="",
+                    recording_date=None, quality="", comment="", duration=0.0, has_nix=False)
 
     @staticmethod
     def get_nix_file(key):
@@ -230,6 +232,7 @@ def populate_datasets(data_path, update=False):
     inserts = Datasets.get_template_tuple()
     inserts["dataset_id"] = dset_name
     inserts["data_source"] = data_path
+    inserts["data_host"] = socket.getfqdn()
     inserts["experimenter"] = experimenter
     inserts["recording_date"] = rec_date
     inserts["quality"] = quality if not isinstance(quality, dict) else ""
@@ -356,7 +359,7 @@ def populate_cells(data_path):
 
     Cells.insert1(cell_props, skip_duplicates=True)
 
-    # multi mach entry
+    # multi match entry
     mm = dict(dataset_id=dataset["dataset_id"], cell_id=cell_props["cell_id"])
     CellDatasetMap.insert1(mm, skip_duplicates=True)
 
@@ -372,12 +375,13 @@ def scan_nix_file_for_repros(dataset):
         f = nix.File.open(nf, nix.FileMode.ReadOnly)
         b = f.blocks[0]
         repro_runs = [t for t in b.tags if "relacs.repro_run" in t.type]
-        for t in repro_runs:
+        total = len(repro_runs)
+        for i, t in enumerate(repro_runs):
+            progress(i+1, total, "Scanning repro run %s" % rs["RePro"]) 
             rs = t.metadata.find_sections(lambda x: "Run" in x.props)
             if len(rs) == 0:
                 continue
             rs = rs[0]
-            print("\t\t%s" % rs["RePro"])
 
             rp = Repros.get_template_tuple()
             rp["run"] = rs["Run"]
@@ -420,6 +424,7 @@ def scan_nix_file_for_repros(dataset):
                     stim["stimulus_name"] = mt.name
                     stim.update(repro)
                     Stimuli.insert1(stim, skip_duplicates=True)
+        print("\n")
         f.close()
         f = None
 
@@ -429,6 +434,7 @@ def scan_folder_for_repros(dataset):
     repro_settings, stim_indices = read_stimuli_file(dataset["data_source"])
     repro_counts = {}
     cell_id = (Cells * CellDatasetMap * (Datasets & "dataset_id = '%s'" % dataset["dataset_id"])).fetch("cell_id", limit=1)[0]
+    total = len(repro_settings)
     for i, (rs, si) in enumerate(zip(repro_settings, stim_indices)):
         rp = Repros.get_template_tuple()
         path = []
@@ -442,8 +448,8 @@ def scan_folder_for_repros(dataset):
         path = []
         if not find_key_recursive(rs, "repro", path):
             find_key_recursive(rs, "RePro", path)
-        print("\t\t %s" % deep_get(rs, path, "None"))
         rp["repro_name"] = deep_get(rs, path, "None")
+        progress(i+1, total, "scanning repro %s" % rp["repro_name"])
 
         path = []
         if rp["repro_name"] in repro_counts.keys():
@@ -489,6 +495,7 @@ def scan_folder_for_repros(dataset):
             stim["stimulus_name"] = ""
             stim.update(repro)
             Stimuli.insert1(stim, skip_duplicates=True)
+    print("\n")
 
 
 def populate_repros(data_path):
@@ -528,6 +535,6 @@ if __name__ == "__main__":
     # data_dir = "../high_freq_chirps/data"
     # drop_tables()
     # datasets = glob.glob("/Users/jan/zwischenlager/2012-*")2010-06-21-ac/info.dat
-    datasets = glob.glob(os.path.join(data_dir, '/data/apteronotus/2019-10-2*'))
+    datasets = glob.glob(os.path.join(data_dir, '/data/apteronotus/2010-06-18*'))
     populate(datasets, update=False)