CRUST1.0 is one word

README.md

@@ -27,9 +27,9 @@ $ pip install -r requirements.txt
 
 All data should be stored in the same root directory. The default is `data`, but a different directory can be specified with `--data-dir`.
 
-### CRUST 1.0
+### CRUST1.0
 
-This model is trained on the [CRUST 1.0](https://igppweb.ucsd.edu/~gabi/crust1.html) dataset. In order to reproduce this work, you will need to download both the [basic model](http://igppweb.ucsd.edu/~gabi/crust1/crust1.0.tar.gz) and the [add-on](http://igppweb.ucsd.edu/~gabi/crust1/crust1.0-addon.tar.gz) that includes the crustal type file. Then, extract the tarballs in a `crust1.0` directory within the data directory.
+This model is trained on the [CRUST1.0](https://igppweb.ucsd.edu/~gabi/crust1.html) dataset. In order to reproduce this work, you will need to download both the [basic model](http://igppweb.ucsd.edu/~gabi/crust1/crust1.0.tar.gz) and the [add-on](http://igppweb.ucsd.edu/~gabi/crust1/crust1.0-addon.tar.gz) that includes the crustal type file. Then, extract the tarballs in a `crust1.0` directory within the data directory.
 
 ### Seafloor Age
 

datasets/crust.py

@@ -1,4 +1,4 @@
-"""Data loader for CRUST 1.0 dataset.
+"""Data loader for CRUST1.0 dataset.
 
 https://igppweb.ucsd.edu/~gabi/crust1.html
 """
@@ -11,7 +11,7 @@
 
 
 def read_crust(data_dir: str) -> gpd.GeoDataFrame:
-    """Read CRUST 1.0 dataset.
+    """Read CRUST1.0 dataset.
 
     Args:
         data_dir: directory containing datasets
@@ -40,7 +40,7 @@ def read_crust(data_dir: str) -> gpd.GeoDataFrame:
     }
 
     # Boundary topography
-    # These files come with the CRUST 1.0 base model
+    # These files come with the CRUST1.0 base model
     fname = os.path.join(data_dir, "crust1.bnds")
     print(f"Reading {fname}...")
     bnds = pd.read_fwf(fname, **kwargs)
@@ -61,7 +61,7 @@ def read_crust(data_dir: str) -> gpd.GeoDataFrame:
     rho = pd.read_fwf(fname, **kwargs)
 
     # Crust type
-    # This file comes with the CRUST 1.0 add-on
+    # This file comes with the CRUST1.0 add-on
     fname = os.path.join(data_dir, "CNtype1-1.txt")
     print(f"Reading {fname}...")
     ctype: np.typing.NDArray[np.object_] = np.loadtxt(fname, dtype=object)