diff --git a/jhdf/src/main/java/io/jhdf/dataset/chunked/indexing/ImplicitChunkIndex.java b/jhdf/src/main/java/io/jhdf/dataset/chunked/indexing/ImplicitChunkIndex.java
index 3ee47884..ad945d66 100644
--- a/jhdf/src/main/java/io/jhdf/dataset/chunked/indexing/ImplicitChunkIndex.java
+++ b/jhdf/src/main/java/io/jhdf/dataset/chunked/indexing/ImplicitChunkIndex.java
@@ -26,7 +26,6 @@ public class ImplicitChunkIndex implements ChunkIndex {
 	private final long baseAddress;
 
 	public ImplicitChunkIndex(long baseAddress, DatasetInfo datasetInfo) {
-
 		this.baseAddress = baseAddress;
 		this.chunkSize = datasetInfo.getChunkSizeInBytes();
 		this.datasetDimensions = datasetInfo.getDatasetDimensions();
diff --git a/jhdf/src/test/resources/hdf5/implicit_index_datasets.hdf5 b/jhdf/src/test/resources/hdf5/implicit_index_datasets.hdf5
new file mode 100644
index 00000000..627eda66
Binary files /dev/null and b/jhdf/src/test/resources/hdf5/implicit_index_datasets.hdf5 differ
diff --git a/jhdf/src/test/resources/scripts/implicit_index_datasets.py b/jhdf/src/test/resources/scripts/implicit_index_datasets.py
new file mode 100644
index 00000000..79eeddf5
--- /dev/null
+++ b/jhdf/src/test/resources/scripts/implicit_index_datasets.py
@@ -0,0 +1,48 @@
+import h5py
+import numpy
+
+
+f = h5py.File("implicit_index_datasets.hdf5", "w",  libver='latest')
+
+data = numpy.arange(20)
+
+dataspace = h5py.h5s.create_simple(data.shape)  # Create simple dataspace
+datatype = h5py.h5t.NATIVE_INT32
+
+# Dataset creation property list
+dcpl = h5py.h5p.create(h5py.h5p.DATASET_CREATE)
+dcpl.set_alloc_time(h5py.h5d.ALLOC_TIME_EARLY)
+# Set chunk dimensions (e.g., chunks of size 5)
+chunk_dims = (5,)  # Ensure chunks are compatible with dataspace shape
+dcpl.set_chunk(chunk_dims)
+
+# Create the dataset
+dataset_name = "implicit_index_exact".encode('utf-8')  # Dataset name must be bytes
+dataset = h5py.h5d.create(f.id, dataset_name, datatype, dataspace, dcpl)
+
+# Write data to the dataset
+dataset.write(h5py.h5s.ALL, h5py.h5s.ALL, data)
+dataset.close()
+
+# Second dataset with chunk size mismatch
+data = numpy.arange(50).reshape(10,5)
+
+dataspace = h5py.h5s.create_simple(data.shape)  # Create simple dataspace
+datatype = h5py.h5t.NATIVE_INT32
+
+# Dataset creation property list
+dcpl = h5py.h5p.create(h5py.h5p.DATASET_CREATE)
+dcpl.set_alloc_time(h5py.h5d.ALLOC_TIME_EARLY)
+# Set chunk dimensions
+chunk_dims = (3,2) # mismatched to data shape
+dcpl.set_chunk(chunk_dims)
+
+# Create the dataset
+dataset_name = "implicit_index_mismatch".encode('utf-8')  # Dataset name must be bytes
+dataset = h5py.h5d.create(f.id, dataset_name, datatype, dataspace, dcpl)
+
+# Write data to the dataset
+dataset.write(h5py.h5s.ALL, h5py.h5s.ALL, data)
+dataset.close()
+
+f.close()