diff --git a/performance/fdb_slice_many_numbers_timeseries.py b/performance/fdb_slice_many_numbers_timeseries.py
index ca0b9173..662b5cc3 100644
--- a/performance/fdb_slice_many_numbers_timeseries.py
+++ b/performance/fdb_slice_many_numbers_timeseries.py
@@ -3,14 +3,12 @@
 import pandas as pd
 import pygribjump as gj
 
-from polytope_feature.datacube.backends.fdb import FDBDatacube
 from polytope_feature.polytope import Polytope, Request
 from polytope_feature.shapes import All, Point, Select
 
 time1 = time.time()
 # Create a dataarray with 3 labelled axes using different index types
 
-# config = {"class": "od", "expver": "0001", "levtype": "sfc", "type": "pf"}
 options = {
     "axis_config": [
         {"axis_name": "step", "transformations": [{"name": "type_change", "type": "int"}]},
@@ -63,7 +61,6 @@
     Select("class", ["od"]),
     Select("stream", ["enfo"]),
     Select("type", ["pf"]),
-    # Select("latitude", [0.035149384216], method="surrounding"),
     Point(["latitude", "longitude"], [[0.04, 0]], method="surrounding"),
     All("number"),
 )
diff --git a/polytope_feature/version.py b/polytope_feature/version.py
index 6e3c058c..c916e680 100644
--- a/polytope_feature/version.py
+++ b/polytope_feature/version.py
@@ -1 +1 @@
-__version__ = "1.0.20"
+__version__ = "1.0.21"
diff --git a/readme.md b/readme.md
index 4a6eed36..3db6544d 100644
--- a/readme.md
+++ b/readme.md
@@ -180,6 +180,10 @@ If this software is useful in your work, please consider citing our [paper](http
 
 > Leuridan, M., Hawkes, J., Smart, S., Danovaro, E., and Quintino, T., “Polytope: An Algorithm for Efficient Feature Extraction on Hypercubes”, <i>arXiv e-prints</i>, 2023. doi:10.48550/arXiv.2306.11553.
 
+Other papers in preparation include: 
+
+> Leuridan, M., Bradley, C., Hawkes, J., Quintino, T., and Schultz, M., "Performance Analysis of an Efficient Algorithm for Feature Extraction from Large Scale Meteorological Data Stores".
+
 ## Acknowledgements
 
 Past and current funding and support for **Polytope** is listed in the adjoining [Acknowledgements](./ACKNOWLEDGEMENTS.rst).