diff --git a/google_books/picklist-draft.ipynb b/google_books/picklist-draft.ipynb
index d7ce280..1c8d201 100644
--- a/google_books/picklist-draft.ipynb
+++ b/google_books/picklist-draft.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -31,7 +31,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -65,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -88,20 +88,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
     "def do_not_sent(row):\n",
-    "    if not row[\"iLocation\"].startswith((\"bu\", \"ma\", \"pa\", \"rc\", \"sc\")):\n",
+    "    if not row[\"iLocation\"].startswith((\"bu\", \"ma\", \"pa\", \"rc\", \"sc\", \"ls\")):\n",
     "        return \"TRUE\"\n",
     "    elif int(row[\"iType\"]) > 101:\n",
     "        return \"TRUE\"\n",
     "    elif int(row[\"iType\"]) in (\n",
-    "        4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20,\n",
-    "        21, 22, 23, 24, 26, 27, 28, 30, 31, 32, 33, 34,\n",
-    "        35, 36, 37, 38, 39, 41, 42, 43, 51, 52, 53, 66, 68, 70, 72,\n",
-    "        73, 74, 75, 76, 79, 51, 52, 53):\n",
+    "        6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20,\n",
+    "        21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34,\n",
+    "        35, 36, 37, 38, 39, 41, 42, 43, 50, 51, 52, 53, 61, 66, 68, 70, 72,\n",
+    "        73, 74, 75, 76, 79):\n",
     "        return \"TRUE\"\n",
     "    elif \"google\" in row[\"iIntNote\"].lower():\n",
     "        return \"TRUE\"\n",
@@ -114,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -123,7 +123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -132,18 +132,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [],
    "source": [
     "df_sasb = df[(df[\"building\"] == \"SASB\") & (df[\"do_not_sent\"] == \"FALSE\")]\n",
-    "gdf_sasb = df_sasb.groupby(\"iLocation\")[[\"iNumber\", \"iLocation\", \"iBarcode\", \"iCallNum\", \"title\", \"pubInfo\", \"bCallNum\", \"bStaffCallNum\"]].apply(lambda x: x.sort_values(\"iCallNum\"))\n",
-    "gdf_sasb.to_csv(\"../files/picklist/sasb.csv\", index=False, sep=\"\\t\", columns=[\"iNumber\", \"iLocation\", \"iBarcode\", \"iCallNum\", \"title\", \"pubInfo\", \"bCallNum\", \"bStaffCallNum\"])"
+    "gdf_sasb = df_sasb.groupby(\"iLocation\")[[\"iNumber\", \"iLocation\", \"iBarcode\", \"iCallNum\", \"iVolume\", \"title\", \"pubInfo\", \"bCallNum\", \"bStaffCallNum\"]].apply(lambda x: x.sort_values(\"iCallNum\"))\n",
+    "gdf_sasb.to_csv(\"../files/picklist/sasb.csv\", index=False, sep=\"\\t\", columns=[\"iNumber\", \"iLocation\", \"iBarcode\", \"iCallNum\", \"iVolume\", \"title\", \"pubInfo\", \"bCallNum\", \"bStaffCallNum\"])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -154,7 +154,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -165,7 +165,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -175,7 +175,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -186,7 +186,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -197,7 +197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -208,7 +208,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
    "source": [
diff --git a/google_books/picklist.py b/google_books/picklist.py
index e86c5d1..caadb6e 100644
--- a/google_books/picklist.py
+++ b/google_books/picklist.py
@@ -40,6 +40,7 @@ def prep_item_list_for_sierra(tar_file: str, list_size: int) -> None:
     files = glob.glob("files/picklist/*_combined-*.txt")
     n = -1
     s = 1
+    print(f"Outputting to file: {str(s).zfill(3)}...")
     for f in files:
         reader = csv.reader(open(f, "r", encoding="utf-8"), delimiter="\t")
         for row in reader:
@@ -60,7 +61,7 @@ def prep_sierra_export_for_dataframe(fh: str, date: str) -> None:
 
     Args:
         fh (str): The path to the Sierra export file
-        date (str): The date of the export in the fomrmat YYYY-MM-DD
+        date (str): The date of the export in the format YYYY-MM-DD
     """
     with open(fh, "r", encoding="utf-8", errors="replace") as f:
         reader = csv.reader(f, delimiter="\t")