diff --git a/MANIFEST.in b/MANIFEST.in
index ac2af8ff93547e9a0b30bc6bc4b3c0294c613cf2..2f44dbf82157a6e81e14acf9fd7c3ae8998a3ca4 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -1,5 +1,5 @@
 include README.md
 include setup.cfg
 include jass/swagger/swagger.yaml
-recursive-include jass/static *
-recursive-include celery_files *
+recursive-include jass/models/data/ *.tsv
+recursive-include jass/static *
\ No newline at end of file
diff --git a/jass/models/data/coef_mean_model.tsv b/jass/models/data/coef_mean_model.tsv
new file mode 100644
index 0000000000000000000000000000000000000000..ca07eb89886c598f96afb4e4f998f870e57d30f1
--- /dev/null
+++ b/jass/models/data/coef_mean_model.tsv
@@ -0,0 +1,7 @@
+	0
+k_coef_mv	0.07740334977380119
+log10_avg_distance_cor_coef_mv	-0.6999110771883902
+log10_mean_gencov_coef_mv	0.746794584985343
+avg_Neff_coef_mv	0.07289261717080556
+avg_h2_coef_mv	-0.516496395500929
+avg_perc_h2_diff_region_coef_mv	0.15727591593399
diff --git a/jass/models/data/range_feature_gain_prediction.tsv b/jass/models/data/range_feature_gain_prediction.tsv
new file mode 100644
index 0000000000000000000000000000000000000000..30c63afb46258403eeb27bf17cb6a9095afbd972
--- /dev/null
+++ b/jass/models/data/range_feature_gain_prediction.tsv
@@ -0,0 +1,7 @@
+	minimum_value	maximum_value
+k	2.0	12.0
+log10_avg_distance_cor	-4.675617219570908	0.20864138105896807
+log10_mean_gencov	-4.4093921991254446	-0.46117501106209624
+avg_Neff	6730.5	697828.0
+avg_h2	0.014033707225812	0.4361454950334251
+avg_perc_h2_diff_region	0.0906544694784672	0.9831222899777692
diff --git a/jass/models/gain.py b/jass/models/gain.py
index d92db8fec2befc4f099bc26c4ae05b26eb230c40..b0cef418e986c6a041b520dac976a061f1c32f5a 100644
--- a/jass/models/gain.py
+++ b/jass/models/gain.py
@@ -1,10 +1,14 @@
+import pkg_resources
 import pandas as pd
 import numpy as np
-
+import os
 
 # data issued from https://doi.org/10.1101/2023.10.27.564319
-X_range = pd.read_csv("./data/range_feature_gain_prediction.tsv", sep="\t", index_col=0)
-model_coefficients =  pd.read_csv("./data/coef_mean_model.tsv", sep="\t", index_col=0)
+stream = pkg_resources.resource_stream(__name__, 'data/range_feature_gain_prediction.tsv')
+X_range = pd.read_csv(stream, sep="\t", index_col=0)
+
+stream = pkg_resources.resource_stream(__name__, 'data/coef_mean_model.tsv')
+model_coefficients =  pd.read_csv(stream, sep="\t", index_col=0)
 
 # Scale according to observed 
 def scale_feature(X, feature_name):
diff --git a/jass/test/data_real/initTable-computed-cov.hdf5 b/jass/test/data_real/initTable-computed-cov.hdf5
index 09c727c19fe74d47c8b6c4d5ca482d2c899a37b6..e5c9e418f87eb525bc9f2a0b329427c11967fa4f 100644
Binary files a/jass/test/data_real/initTable-computed-cov.hdf5 and b/jass/test/data_real/initTable-computed-cov.hdf5 differ
diff --git a/jass/test/data_real/initTable.hdf5 b/jass/test/data_real/initTable.hdf5
index 85a869ff55510f47b6622db2a0c81bfa8e904be5..bbeb66410fbcbb9dcbfaf5dae49355d0b9018cf9 100644
Binary files a/jass/test/data_real/initTable.hdf5 and b/jass/test/data_real/initTable.hdf5 differ
diff --git a/jass/test/data_real/worktable-nonans.hdf5 b/jass/test/data_real/worktable-nonans.hdf5
index 2e1f6526b9f5f2741ed7627bb6f72e12e543ae4f..1323e8187a7012c6351c40f382733e0cf9540554 100644
Binary files a/jass/test/data_real/worktable-nonans.hdf5 and b/jass/test/data_real/worktable-nonans.hdf5 differ
diff --git a/jass/test/data_real/worktable-withnans.hdf5 b/jass/test/data_real/worktable-withnans.hdf5
index 6c0162e61d22b93316dfe293a05b5b47d6c68fe4..809f790a23140377941366ffc081c41dfd0e4e97 100644
Binary files a/jass/test/data_real/worktable-withnans.hdf5 and b/jass/test/data_real/worktable-withnans.hdf5 differ
diff --git a/setup.py b/setup.py
index f219c359653ae00d87b9dfacea28330db078ba1f..61bba8e85879dc9f5f6e8efca8c09667813475b9 100644
--- a/setup.py
+++ b/setup.py
@@ -31,7 +31,7 @@ setup(
     install_requires=REQUIRES,
     license="MIT",
     keywords=["GWAS", "Data analysis", "summary statistics"],
-    package_data={'jass': ['swagger/swagger.yaml']},
+    package_data={'jass': ['swagger/swagger.yaml', "data/*.tsv"]},
     include_package_data=True,
     long_description=readme,
     long_description_content_type="text/markdown",