diff --git a/poetry.lock b/poetry.lock
index 496e6895..960b5629 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -42,24 +42,24 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.6.2.post1"
+version = "4.7.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
-    {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
+    {file = "anyio-4.7.0-py3-none-any.whl", hash = "sha256:ea60c3723ab42ba6fff7e8ccb0488c898ec538ff4df1f1d5e642c3601d07e352"},
+    {file = "anyio-4.7.0.tar.gz", hash = "sha256:2f834749c602966b7d456a7567cafcb309f96482b5081d14ac93ccd457f9dd48"},
 ]
 
 [package.dependencies]
 exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
-typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
+typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
-doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -255,13 +255,13 @@ test-all = ["astropy[test]", "coverage[toml]", "ipython (>=4.2)", "objgraph", "s
 
 [[package]]
 name = "astropy-iers-data"
-version = "0.2024.12.2.0.35.34"
+version = "0.2024.12.16.0.35.48"
 description = "IERS Earth Rotation and Leap Second tables for the astropy core package"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "astropy_iers_data-0.2024.12.2.0.35.34.tar.gz", hash = "sha256:31bfc67c12e0c477632547f9271eafec813227de0b84b89128a1c8b92a637a3d"},
+    {file = "astropy_iers_data-0.2024.12.16.0.35.48-py3-none-any.whl", hash = "sha256:c277670bf5324d9e17a28b011d4d7493acc06ce9dc75e7cfab848bd8c4847ce3"},
+    {file = "astropy_iers_data-0.2024.12.16.0.35.48.tar.gz", hash = "sha256:dbb95668d66bb160342f058df49953c9d47bac628279169ffd476ca51fe90fac"},
 ]
 
 [package.extras]
@@ -299,19 +299,19 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "attrs"
-version = "24.2.0"
+version = "24.3.0"
 description = "Classes Without Boilerplate"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"},
+    {file = "attrs-24.3.0.tar.gz", hash = "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"},
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 [package.extras]
 benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
@@ -392,13 +392,13 @@ xyzservices = ">=2021.09.1"
 
 [[package]]
 name = "certifi"
-version = "2024.8.30"
+version = "2024.12.14"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
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 [[package]]
@@ -775,73 +775,73 @@ test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist"
 
 [[package]]
 name = "coverage"
-version = "7.6.8"
+version = "7.6.9"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -896,37 +896,37 @@ test = ["pandas[test]", "pre-commit", "pytest", "pytest-cov", "pytest-rerunfailu
 
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@@ -1315,13 +1315,13 @@ trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.28.0"
+version = "0.28.1"
 description = "The next generation HTTP client."
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 python-versions = ">=3.8"
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@@ -1500,18 +1500,17 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio
 
 [[package]]
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+version = "0.9.5"
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 numpy = "*"
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 [[package]]
 name = "jupyter-events"
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+version = "0.11.0"
 description = "Jupyter Event System library"
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 [package.extras]
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 test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "rich"]
 
 [[package]]
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 [[package]]
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 importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
 ipykernel = ">=6.5.0"
 jinja2 = ">=3.0.3"
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 [package.dependencies]
@@ -2521,7 +2509,7 @@ pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
 
 [package.extras]
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 [[package]]
 name = "matplotlib-inline"
@@ -2690,13 +2678,13 @@ icu = ["PyICU (>=1.0.0)"]
 
 [[package]]
 name = "nbclient"
-version = "0.10.1"
+version = "0.10.2"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 optional = false
-python-versions = ">=3.8.0"
+python-versions = ">=3.9.0"
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 [package.dependencies]
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 [package.extras]
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 [[package]]
 name = "nbconvert"
@@ -2830,26 +2818,26 @@ files = [
 
 [[package]]
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 [package.extras]
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 [[package]]
 name = "notebook-shim"
@@ -3556,18 +3544,18 @@ files = [
 
 [[package]]
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+version = "2.10.4"
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 [package.dependencies]
 annotated-types = ">=0.6.0"
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 typing-extensions = ">=4.12.2"
 
 [package.extras]
@@ -3576,111 +3564,111 @@ timezone = ["tzdata"]
 
 [[package]]
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+version = "2.27.2"
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 [package.dependencies]
@@ -3743,13 +3731,13 @@ test = ["pytest", "pytest-doctestplus (>=0.7)"]
 
 [[package]]
 name = "pyfakefs"
-version = "5.7.2"
+version = "5.7.3"
 description = "pyfakefs implements a fake file system that mocks the Python file system modules."
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 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
@@ -3768,13 +3756,13 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
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-version = "0.9.1"
+version = "0.9.3"
 description = "Extend NeXus for experiments and characterization in Materials Science and Materials Engineering and serve as a NOMAD parser implementation for NeXus."
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -3793,14 +3781,15 @@ xarray = ">=0.20.2"
 
 [package.extras]
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-convert = ["pynxtools[apm,ellips,em,mpes,raman,stm,xps,xrd]"]
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 xrd = ["pynxtools-xrd (>=0.0.3)"]
 
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 [[package]]
 name = "python-json-logger"
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+[package.dependencies]
+typing_extensions = {version = "*", markers = "python_version < \"3.10\""}
+
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+
 [[package]]
 name = "pytz"
 version = "2024.2"
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+    {file = "rpds_py-0.22.3.tar.gz", hash = "sha256:e32fee8ab45d3c2db6da19a5323bc3362237c8b653c70194414b892fd06a080d"},
 ]
 
 [[package]]
@@ -4553,13 +4548,13 @@ type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (>=1.12
 
 [[package]]
 name = "six"
-version = "1.16.0"
+version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
-    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
-    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+    {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
+    {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
 ]
 
 [[package]]
@@ -5012,13 +5007,13 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "types-python-dateutil"
-version = "2.9.0.20241003"
+version = "2.9.0.20241206"
 description = "Typing stubs for python-dateutil"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-python-dateutil-2.9.0.20241003.tar.gz", hash = "sha256:58cb85449b2a56d6684e41aeefb4c4280631246a0da1a719bdbe6f3fb0317446"},
-    {file = "types_python_dateutil-2.9.0.20241003-py3-none-any.whl", hash = "sha256:250e1d8e80e7bbc3a6c99b907762711d1a1cdd00e978ad39cb5940f6f0a87f3d"},
+    {file = "types_python_dateutil-2.9.0.20241206-py3-none-any.whl", hash = "sha256:e248a4bc70a486d3e3ec84d0dc30eec3a5f979d6e7ee4123ae043eedbb987f53"},
+    {file = "types_python_dateutil-2.9.0.20241206.tar.gz", hash = "sha256:18f493414c26ffba692a72369fea7a154c502646301ebfe3d56a04b3767284cb"},
 ]
 
 [[package]]
diff --git a/src/sed/loader/mpes/loader.py b/src/sed/loader/mpes/loader.py
index d6203345..c9a776c3 100644
--- a/src/sed/loader/mpes/loader.py
+++ b/src/sed/loader/mpes/loader.py
@@ -7,6 +7,7 @@
 
 import datetime
 import glob
+import io
 import json
 import os
 from collections.abc import Sequence
@@ -27,10 +28,34 @@
 from sed.core.logging import setup_logging
 from sed.loader.base.loader import BaseLoader
 
+
 # Configure logging
 logger = setup_logging("mpes_loader")
 
 
+def load_h5_in_memory(file_path):
+    """
+    Load an HDF5 file entirely into memory and open it with h5py.
+
+    Parameters:
+        file_path (str): Path to the .h5 file.
+
+    Returns:
+        h5py.File: An h5py File object representing the in-memory HDF5 file.
+    """
+    # Read the entire file into memory
+    with open(file_path, "rb") as f:
+        file_content = f.read()
+
+    # Load the content into a BytesIO object
+    file_buffer = io.BytesIO(file_content)
+
+    # Open the HDF5 file using h5py from the in-memory buffer
+    h5_file = h5py.File(file_buffer, "r")
+
+    return h5_file
+
+
 def hdf5_to_dataframe(
     files: Sequence[str],
     channels: dict[str, Any] = None,
@@ -62,7 +87,7 @@ def hdf5_to_dataframe(
         ddf.DataFrame: The delayed Dask DataFrame
     """
     # Read a file to parse the file structure
-    test_proc = h5py.File(files[test_fid])
+    test_proc = load_h5_in_memory(files[test_fid])
 
     if channels is None:
         channels = get_datasets_and_aliases(
@@ -96,7 +121,7 @@ def hdf5_to_dataframe(
         column_names.append(time_stamp_alias)
 
     test_array = hdf5_to_array(
-        h5file=test_proc,
+        h5filename=files[test_fid],
         channels=electron_channels,
         time_stamps=time_stamps,
         ms_markers_key=ms_markers_key,
@@ -110,7 +135,7 @@ def hdf5_to_dataframe(
             arrays.append(
                 da.from_delayed(
                     dask.delayed(hdf5_to_array)(
-                        h5file=h5py.File(f),
+                        h5filename=f,
                         channels=electron_channels,
                         time_stamps=time_stamps,
                         ms_markers_key=ms_markers_key,
@@ -147,6 +172,8 @@ def hdf5_to_dataframe(
                     "Skipping the channel.",
                 )
 
+    test_proc.close()
+
     return dataframe
 
 
@@ -182,7 +209,7 @@ def hdf5_to_timed_dataframe(
         ddf.DataFrame: The delayed Dask DataFrame
     """
     # Read a file to parse the file structure
-    test_proc = h5py.File(files[test_fid])
+    test_proc = load_h5_in_memory(files[test_fid])
 
     if channels is None:
         channels = get_datasets_and_aliases(
@@ -212,7 +239,7 @@ def hdf5_to_timed_dataframe(
         column_names.append(time_stamp_alias)
 
     test_array = hdf5_to_timed_array(
-        h5file=test_proc,
+        h5filename=files[test_fid],
         channels=electron_channels,
         time_stamps=time_stamps,
         ms_markers_key=ms_markers_key,
@@ -226,7 +253,7 @@ def hdf5_to_timed_dataframe(
             arrays.append(
                 da.from_delayed(
                     dask.delayed(hdf5_to_timed_array)(
-                        h5file=h5py.File(f),
+                        h5filename=f,
                         channels=electron_channels,
                         time_stamps=time_stamps,
                         ms_markers_key=ms_markers_key,
@@ -254,6 +281,8 @@ def hdf5_to_timed_dataframe(
                 ]
                 dataframe = ddf.from_delayed(delayeds)
 
+    test_proc.close()
+
     return dataframe
 
 
@@ -312,7 +341,7 @@ def get_datasets_and_aliases(
 
 
 def hdf5_to_array(
-    h5file: h5py.File,
+    h5filename: str,
     channels: Sequence[dict[str, Any]],
     time_stamps=False,
     ms_markers_key: str = "msMarkers",
@@ -322,8 +351,7 @@ def hdf5_to_array(
     2-dimensional array with the corresponding values.
 
     Args:
-        h5file (h5py.File):
-            hdf5 file handle to read from
+        h5filename (str): hdf5 file name to read from
         channels (Sequence[dict[str, any]]):
             channel dicts containing group names and types to read.
         time_stamps (bool, optional):
@@ -338,6 +366,8 @@ def hdf5_to_array(
     """
 
     # Delayed array for loading an HDF5 file of reasonable size (e.g. < 1GB)
+
+    h5file = load_h5_in_memory(h5filename)
     # Read out groups:
     data_list = []
     for channel in channels:
@@ -371,7 +401,7 @@ def hdf5_to_array(
         except KeyError:
             # get the start time of the file from its modification date if the key
             # does not exist (old files)
-            start_time = os.path.getmtime(h5file.filename)  # convert to ms
+            start_time = os.path.getmtime(h5filename)  # convert to ms
             # the modification time points to the time when the file was finished, so we
             # need to correct for the time it took to write the file
             start_time -= len(ms_marker) / 1000
@@ -394,11 +424,13 @@ def hdf5_to_array(
 
         data_list.append(time_stamp_data)
 
+    h5file.close()
+
     return np.asarray(data_list)
 
 
 def hdf5_to_timed_array(
-    h5file: h5py.File,
+    h5filename: str,
     channels: Sequence[dict[str, Any]],
     time_stamps=False,
     ms_markers_key: str = "msMarkers",
@@ -408,8 +440,7 @@ def hdf5_to_timed_array(
     timed version of a 2-dimensional array with the corresponding values.
 
     Args:
-        h5file (h5py.File):
-            hdf5 file handle to read from
+        h5filename (str): hdf5 file name to read from
         channels (Sequence[dict[str, any]]):
             channel dicts containing group names and types to read.
         time_stamps (bool, optional):
@@ -426,6 +457,8 @@ def hdf5_to_timed_array(
 
     # Delayed array for loading an HDF5 file of reasonable size (e.g. < 1GB)
 
+    h5file = load_h5_in_memory(h5filename)
+
     # Read out groups:
     data_list = []
     ms_marker = np.asarray(h5file[ms_markers_key])
@@ -458,7 +491,7 @@ def hdf5_to_timed_array(
         except KeyError:
             # get the start time of the file from its modification date if the key
             # does not exist (old files)
-            start_time = os.path.getmtime(h5file.filename)  # convert to ms
+            start_time = os.path.getmtime(h5filename)  # convert to ms
             # the modification time points to the time when the file was finished, so we
             # need to correct for the time it took to write the file
             start_time -= len(ms_marker) / 1000
@@ -467,6 +500,8 @@ def hdf5_to_timed_array(
 
         data_list.append(time_stamp_data)
 
+    h5file.close()
+
     return np.asarray(data_list)
 
 
@@ -793,7 +828,7 @@ def get_start_and_end_time(self) -> tuple[float, float]:
         Returns:
             tuple[float, float]: A tuple containing the start and end time stamps
         """
-        h5file = h5py.File(self.files[0])
+        h5file = load_h5_in_memory(self.files[0])
         channels = []
         for channel in self._config["dataframe"]["channels"].values():
             if channel["format"] == "per_electron":
@@ -807,7 +842,7 @@ def get_start_and_end_time(self) -> tuple[float, float]:
             time_stamps=True,
         )
         ts_from = timestamps[-1][1]
-        h5file = h5py.File(self.files[-1])
+        h5file = load_h5_in_memory(self.files[-1])
         timestamps = hdf5_to_array(
             h5file,
             channels=channels,