diff --git a/src/algorithms/signal_source/libs/ad9361_manager.cc b/src/algorithms/signal_source/libs/ad9361_manager.cc
index b0a41bd55..34f6f5389 100644
--- a/src/algorithms/signal_source/libs/ad9361_manager.cc
+++ b/src/algorithms/signal_source/libs/ad9361_manager.cc
@@ -86,7 +86,7 @@ bool get_ad9361_stream_dev(struct iio_context *ctx, enum iodev d, struct iio_dev
 
 
 /* finds AD9361 streaming IIO channels */
-bool get_ad9361_stream_ch(struct iio_context *ctx, enum iodev d, struct iio_device *dev, int chid, struct iio_channel **chn)
+bool get_ad9361_stream_ch(struct iio_context *ctx __attribute__((unused)), enum iodev d, struct iio_device *dev, int chid, struct iio_channel **chn)
 {
     std::stringstream name;
     name.str("");
diff --git a/src/utils/reproducibility/ieee-access18/README.md b/src/utils/reproducibility/ieee-access18/README.md
index d4238946e..62098afaa 100644
--- a/src/utils/reproducibility/ieee-access18/README.md
+++ b/src/utils/reproducibility/ieee-access18/README.md
@@ -4,11 +4,11 @@ Continuous Reproducibility in GNSS Signal Processing
 
 This folder contains files required for the reproduction of the experiment proposed in:
 
-C. Fernández-Prades, J. Vilà-Valls, J. Arribas and A. Ramos, *Continuous Reproducibility in GNSS Signal Processing*, submitted to IEEE Access, Feb. 2018.
+C. Fernández-Prades, J. Vilà-Valls, J. Arribas and A. Ramos, [*Continuous Reproducibility in GNSS Signal Processing*](http://ieeexplore.ieee.org/document/8331069/), IEEE Access, accepted for publication, April 2018. DOI: 10.1109/ACCESS.2018.2822835
 
-The dataset used in this paper is available at
+The data set used in this paper is available at https://zenodo.org/record/1184601
 
-The sample format is `ibyte`: Interleaved (I&Q) stream of samples of type signed integer, 8-bit two’s complement number ranging from -128 to 127. 
+The sample format is `ibyte`: Interleaved (I&Q) stream of samples of type signed integer, 8-bit two’s complement number ranging from -128 to 127. The sampling rate is 3 MSps.
 
 The figure appearing in that paper can be automatically generated with the pipeline available at https://gitlab.com/gnss-sdr/gnss-sdr/pipelines