diff --git a/intro.md b/intro.md
index ecdc192..8c3ddb4 100644
--- a/intro.md
+++ b/intro.md
@@ -58,6 +58,10 @@ Available notebooks:
   (Kimberly Siletti)**
 
 ## Release Notes
+* **[abc_atlas_access (v0.110)]**
+  * Fixed compatibility issue with read only local caches specifically for
+    fuse style file mounts such as those used on CodeOcean.
+  * Added local cache example to notebooks.
 * **[abc_atlas_access (v0.1.0)]**
   * Fixed issue with loading 10X mouse data with the `get_gene_data` function.
 * **[Spring 2024 Public Beta (version 20240330)]**
diff --git a/notebooks/10x_snRNASeq_tutorial_part_1.ipynb b/notebooks/10x_snRNASeq_tutorial_part_1.ipynb
index 1c3c972..5e0e226 100644
--- a/notebooks/10x_snRNASeq_tutorial_part_1.ipynb
+++ b/notebooks/10x_snRNASeq_tutorial_part_1.ipynb
@@ -36,6 +36,8 @@
    "source": [
     "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
     "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
+    "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
   },
@@ -58,6 +60,10 @@
    "source": [
     "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -2421,7 +2427,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/10x_snRNASeq_tutorial_part_2a.ipynb b/notebooks/10x_snRNASeq_tutorial_part_2a.ipynb
index bace66c..c758757 100644
--- a/notebooks/10x_snRNASeq_tutorial_part_2a.ipynb
+++ b/notebooks/10x_snRNASeq_tutorial_part_2a.ipynb
@@ -35,6 +35,8 @@
    "source": [
     "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
     "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
+    "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
   },
@@ -57,6 +59,10 @@
    "source": [
     "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -554,7 +560,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/10x_snRNASeq_tutorial_part_2b.ipynb b/notebooks/10x_snRNASeq_tutorial_part_2b.ipynb
index b819c4d..ee7d47e 100644
--- a/notebooks/10x_snRNASeq_tutorial_part_2b.ipynb
+++ b/notebooks/10x_snRNASeq_tutorial_part_2b.ipynb
@@ -34,6 +34,8 @@
    "source": [
     "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
     "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
+    "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
   },
@@ -56,6 +58,10 @@
    "source": [
     "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -590,7 +596,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WHB-10x_snRNASeq_tutorial_part_1.ipynb b/notebooks/WHB-10x_snRNASeq_tutorial_part_1.ipynb
index 249e922..8be99c1 100644
--- a/notebooks/WHB-10x_snRNASeq_tutorial_part_1.ipynb
+++ b/notebooks/WHB-10x_snRNASeq_tutorial_part_1.ipynb
@@ -36,7 +36,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe from the stored csv file. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
+    "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
+    "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
     "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
@@ -60,6 +62,10 @@
    "source": [
     "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -1346,7 +1352,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WHB-10x_snRNASeq_tutorial_part_2.ipynb b/notebooks/WHB-10x_snRNASeq_tutorial_part_2.ipynb
index f14919b..9bb2bfc 100644
--- a/notebooks/WHB-10x_snRNASeq_tutorial_part_2.ipynb
+++ b/notebooks/WHB-10x_snRNASeq_tutorial_part_2.ipynb
@@ -34,6 +34,8 @@
    "source": [
     "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
     "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
+    "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
   },
@@ -56,6 +58,10 @@
    "source": [
     "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -1061,7 +1067,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/WHB_cluster_annotation_tutorial.ipynb b/notebooks/WHB_cluster_annotation_tutorial.ipynb
index 7e98dc6..ba1f204 100644
--- a/notebooks/WHB_cluster_annotation_tutorial.ipynb
+++ b/notebooks/WHB_cluster_annotation_tutorial.ipynb
@@ -34,6 +34,8 @@
    "source": [
     "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
     "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
+    "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
   },
@@ -56,6 +58,10 @@
    "source": [
     "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -1605,7 +1611,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/ccf_and_parcellation_annotation_tutorial.ipynb b/notebooks/ccf_and_parcellation_annotation_tutorial.ipynb
index 622db51..a16e2f4 100644
--- a/notebooks/ccf_and_parcellation_annotation_tutorial.ipynb
+++ b/notebooks/ccf_and_parcellation_annotation_tutorial.ipynb
@@ -38,6 +38,8 @@
    "source": [
     "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
     "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
+    "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
   },
@@ -58,8 +60,12 @@
     }
    ],
    "source": [
-    "download_base = pathlib.Path('../../abc_download_root')\n",
+    "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -2659,7 +2665,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/cluster_annotation_tutorial.ipynb b/notebooks/cluster_annotation_tutorial.ipynb
index 0690e5b..94b6931 100644
--- a/notebooks/cluster_annotation_tutorial.ipynb
+++ b/notebooks/cluster_annotation_tutorial.ipynb
@@ -36,6 +36,8 @@
    "source": [
     "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
     "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
+    "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
   },
@@ -56,8 +58,12 @@
     }
    ],
    "source": [
-    "download_base = pathlib.Path('../../abc_download_root')\n",
+    "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -1917,7 +1923,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/cluster_groups_and_embeddings_tutorial.ipynb b/notebooks/cluster_groups_and_embeddings_tutorial.ipynb
index 63e165c..7bcf953 100644
--- a/notebooks/cluster_groups_and_embeddings_tutorial.ipynb
+++ b/notebooks/cluster_groups_and_embeddings_tutorial.ipynb
@@ -31,6 +31,8 @@
    "source": [
     "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
     "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
+    "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
   },
@@ -51,8 +53,12 @@
     }
    ],
    "source": [
-    "download_base = pathlib.Path('../../abc_download_root')\n",
+    "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -1379,7 +1385,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/cluster_neighborhood_gallery.ipynb b/notebooks/cluster_neighborhood_gallery.ipynb
index 3e3d606..6d6d21d 100644
--- a/notebooks/cluster_neighborhood_gallery.ipynb
+++ b/notebooks/cluster_neighborhood_gallery.ipynb
@@ -31,6 +31,8 @@
    "source": [
     "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
     "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
+    "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
   },
@@ -51,8 +53,12 @@
     }
    ],
    "source": [
-    "download_base = pathlib.Path('../../abc_download_root')\n",
+    "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -878,7 +884,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/general_accessing_10x_snRNASeq_tutorial.ipynb b/notebooks/general_accessing_10x_snRNASeq_tutorial.ipynb
index d4df1d5..6502b28 100644
--- a/notebooks/general_accessing_10x_snRNASeq_tutorial.ipynb
+++ b/notebooks/general_accessing_10x_snRNASeq_tutorial.ipynb
@@ -33,7 +33,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
+    "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
+    "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
     "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
@@ -57,6 +59,10 @@
    "source": [
     "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
diff --git a/notebooks/getting_started.ipynb b/notebooks/getting_started.ipynb
index efb2930..9e090d2 100644
--- a/notebooks/getting_started.ipynb
+++ b/notebooks/getting_started.ipynb
@@ -144,7 +144,9 @@
     "\n",
     "Below we show how to setup up the cache to download from S3, how to list and switch to a different data release, and additionally how to list the directories available, their size, and the files in that directory.\n",
     "\n",
-    "Setup the **AbcProjectCache** object by specifying a directory and calling ``from_s3_cache`` as shown below. We also print what version of the manifest is being currently loaded by the cache."
+    "Setup the **AbcProjectCache** object by specifying a directory and calling ``from_s3_cache`` as shown below. We also print what version of the manifest is being currently loaded by the cache.\n",
+    "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar. Using the cache from a s3fs mount means that all files will be streamed over the internet instead of saved to the local disk."
    ]
   },
   {
@@ -166,6 +168,10 @@
    "source": [
     "download_base = Path('../../abc_download_root') # Path to where you would like to write the downloaded data.\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
diff --git a/notebooks/merfish_ccf_registration_tutorial.ipynb b/notebooks/merfish_ccf_registration_tutorial.ipynb
index 7d52a56..72ebd2c 100644
--- a/notebooks/merfish_ccf_registration_tutorial.ipynb
+++ b/notebooks/merfish_ccf_registration_tutorial.ipynb
@@ -37,6 +37,8 @@
    "source": [
     "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
     "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
+    "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
   },
@@ -57,8 +59,12 @@
     }
    ],
    "source": [
-    "download_base = pathlib.Path('../../abc_download_root')\n",
+    "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -2926,7 +2932,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/merfish_tutorial_part_1.ipynb b/notebooks/merfish_tutorial_part_1.ipynb
index 4bfdc40..4824d6e 100644
--- a/notebooks/merfish_tutorial_part_1.ipynb
+++ b/notebooks/merfish_tutorial_part_1.ipynb
@@ -38,6 +38,8 @@
    "source": [
     "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
     "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
+    "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
   },
@@ -60,6 +62,10 @@
    "source": [
     "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -1729,7 +1735,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/merfish_tutorial_part_2a.ipynb b/notebooks/merfish_tutorial_part_2a.ipynb
index 04dda9c..4e24131 100644
--- a/notebooks/merfish_tutorial_part_2a.ipynb
+++ b/notebooks/merfish_tutorial_part_2a.ipynb
@@ -35,6 +35,8 @@
    "source": [
     "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
     "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
+    "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
   },
@@ -57,6 +59,10 @@
    "source": [
     "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -302,7 +308,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/merfish_tutorial_part_2b.ipynb b/notebooks/merfish_tutorial_part_2b.ipynb
index a994479..b957d9c 100644
--- a/notebooks/merfish_tutorial_part_2b.ipynb
+++ b/notebooks/merfish_tutorial_part_2b.ipynb
@@ -36,6 +36,8 @@
    "source": [
     "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
     "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
+    "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
   },
@@ -58,6 +60,10 @@
    "source": [
     "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -722,7 +728,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/zhuang_merfish_tutorial.ipynb b/notebooks/zhuang_merfish_tutorial.ipynb
index 5e212cc..9b4284b 100644
--- a/notebooks/zhuang_merfish_tutorial.ipynb
+++ b/notebooks/zhuang_merfish_tutorial.ipynb
@@ -32,6 +32,8 @@
    "source": [
     "We will interact with the data using the **AbcProjectCache**. This cache object tracks which data has been downloaded and serves the path to the requsted data on disk. For metadata, the cache can also directly serve a up a Pandas Dataframe. See the ``getting_started`` notebook for more details on using the cache including installing it if it has not already been.\n",
     "\n",
+    "The commented section that calls ``from_local_cache`` can be used instead when a download of the data already exists on disk or running on CodeOcean with the attached Allen Brain Cell Atlas or similar mounting of the AWS s3 bucket as a directory through [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse) or similar.\n",
+    "\n",
     "**Change the download_base variable to where you have downloaded the data in your system.**"
    ]
   },
@@ -52,8 +54,12 @@
     }
    ],
    "source": [
-    "download_base = pathlib.Path('../../abc_download_root')\n",
+    "download_base = Path('../../abc_download_root')\n",
     "abc_cache = AbcProjectCache.from_s3_cache(download_base)\n",
+    "\n",
+    "# download_base = Path('../../data/abc_atlas') # Path to the already downloaded data or s3fs-fuse mount.\n",
+    "# abc_cache = AbcProjectCache.from_local_cache(download_base)\n",
+    "\n",
     "abc_cache.current_manifest"
    ]
   },
@@ -2342,7 +2348,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/pyproject.toml b/pyproject.toml
index 3a1bd68..a2c97f7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "abc_atlas_access"
-version = "0.1.0"
+version = "0.1.1"
 description = "A package for accessing/processing data from the ABC Atlas"
 dependencies = [
   "anndata",
diff --git a/src/abc_atlas_access/abc_atlas_cache/cloud_cache.py b/src/abc_atlas_access/abc_atlas_cache/cloud_cache.py
index b1a32f4..dd77cc8 100644
--- a/src/abc_atlas_access/abc_atlas_cache/cloud_cache.py
+++ b/src/abc_atlas_access/abc_atlas_cache/cloud_cache.py
@@ -23,6 +23,10 @@ class MissingLocalManifestWarning(UserWarning):
     pass
 
 
+class ReadOnlyLocalCacheWarning(UserWarning):
+    pass
+
+
 class BasicLocalCache(ABC):
     """
     A class to handle the loading and accessing a project's data and
@@ -719,11 +723,17 @@ def load_manifest(self, manifest_name: str):
         self._manifest = self._load_manifest(manifest_name)
 
         # Keep track of the newly loaded manifest
-        with open(self._manifest_last_used, 'w') as out_file:
-            out_file.write(manifest_name)
+        self._save_last_used_manifest(manifest_name)
 
         self._manifest_name = manifest_name
 
+    def _save_last_used_manifest(self, manifest_name: str):
+        """
+        Save the name of the last manifest used in this cache.
+        """
+        with open(self._manifest_last_used, 'w') as out_file:
+            out_file.write(manifest_name)
+
     def _file_exists(self, file_attributes: CacheFileAttributes) -> bool:
         """
         Given a CacheFileAttributes describing a file, assess whether that
@@ -1347,3 +1357,17 @@ def _download_file(self,
                        force_download: bool = False,
                        skip_hash_check: bool = False) -> bool:
         raise NotImplementedError()
+
+    def _save_last_used_manifest(self, manifest_name: str):
+        """
+        """
+        try:
+            with open(self._manifest_last_used, 'w') as out_file:
+                out_file.write(manifest_name)
+        except OSError:
+            warnings.warn(
+                f"""LocalCache is a read only directory and cannot
+                save the last used manifest.
+                Current Manifest: {manifest_name}""",
+                ReadOnlyLocalCacheWarning
+            )
\ No newline at end of file