diff --git a/clouddrift/adapters/gdp/gdp1h.py b/clouddrift/adapters/gdp/gdp1h.py
index 486cf458..43dcf53b 100644
--- a/clouddrift/adapters/gdp/gdp1h.py
+++ b/clouddrift/adapters/gdp/gdp1h.py
@@ -550,8 +550,8 @@ def to_raggedarray(
     n_random_id : list[int], optional
         Randomly select n_random_id drifter NetCDF files
     url : str
-        URL from which to download the data (Default: GDP_DATA_URL).
-        Alternatively, it can be GDP_DATA_URL_EXPERIMENTAL.
+        URL from which to download the data (Default: GDP_DATA_URL)
+        Alternatively, it can be GDP_DATA_URL_EXPERIMENTAL
     tmp_path : str, optional
         Path to the directory where the individual NetCDF files are stored
         (default varies depending on operating system; /tmp/clouddrift/gdp on Linux)
@@ -567,7 +567,7 @@ def to_raggedarray(
     Invoke `to_raggedarray` without any arguments to download all drifter data
     from the 2.01 GDP feed:
 
-    >>> from clouddrift.adapters.gdp1h import to_raggedarray
+    >>> from clouddrift.adapters.gdp.gdp1h import to_raggedarray
     >>> ra = to_raggedarray()
 
     To download a random sample of 100 drifters, for example for development
@@ -579,10 +579,9 @@ def to_raggedarray(
 
     >>> ra = to_raggedarray(drifter_ids=[44136, 54680, 83463])
 
-    To download the experimental 2.01 GDP feed, use the `url` argument to
+    To download the experimental 3.00 GDP data, use the `url` argument to
     specify the experimental feed URL:
-
-    >>> from clouddrift.adapters.gdp1h import GDP_DATA_URL_EXPERIMENTAL, to_raggedarray
+    >>> from clouddrift.adapters.gdp.gdp1h import GDP_DATA_URL_EXPERIMENTAL, to_raggedarray
     >>> ra = to_raggedarray(url=GDP_DATA_URL_EXPERIMENTAL)
 
     Finally, `to_raggedarray` returns a `RaggedArray` instance which provides
diff --git a/clouddrift/adapters/gdp/gdp6h.py b/clouddrift/adapters/gdp/gdp6h.py
index 3f0dcc32..423e0c79 100644
--- a/clouddrift/adapters/gdp/gdp6h.py
+++ b/clouddrift/adapters/gdp/gdp6h.py
@@ -18,7 +18,7 @@
 from clouddrift.adapters.utils import download_with_progress, standard_retry_protocol
 from clouddrift.raggedarray import RaggedArray
 
-GDP_VERSION = "September 2023"
+GDP_VERSION = "July 2024"
 
 GDP_DATA_URL = "https://www.aoml.noaa.gov/ftp/pub/phod/buoydata/6h"
 GDP_TMP_PATH = os.path.join(tempfile.gettempdir(), "clouddrift", "gdp6h")
@@ -196,10 +196,6 @@ def preprocess(index: int, **kwargs) -> xr.Dataset:
     )
 
     # convert attributes to variable
-    ds["location_type"] = (
-        ("traj"),
-        [False if ds.attrs.get("location_type") == "Argos" else True],
-    )  # 0 for Argos, 1 for GPS
     ds["DeployingShip"] = (("traj"), gdp.cut_str(ds.attrs.get("DeployingShip", ""), 20))
     ds["DeploymentStatus"] = (
         ("traj"),
@@ -480,7 +476,7 @@ def to_raggedarray(
     Invoke `to_raggedarray` without any arguments to download all drifter data
     from the 6-hourly GDP feed:
 
-    >>> from clouddrift.adapters.gdp6h import to_raggedarray
+    >>> from clouddrift.adapters.gdp.gdp6h import to_raggedarray
     >>> ra = to_raggedarray()
 
     To download a random sample of 100 drifters, for example for development