diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..c14b37e01749fbad5fd368511af45b7f57803a38
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,2 @@
+/workspace/
+__pycache__
\ No newline at end of file
diff --git a/.python-version b/.python-version
new file mode 100644
index 0000000000000000000000000000000000000000..c8cfe3959183f8e9a50f83f54cd723f2dc9c252d
--- /dev/null
+++ b/.python-version
@@ -0,0 +1 @@
+3.10
diff --git a/examples/header.h5 b/examples/header.h5
new file mode 100644
index 0000000000000000000000000000000000000000..55f849af30b411def5615dca45ce8811be91d386
Binary files /dev/null and b/examples/header.h5 differ
diff --git a/examples/image.h5 b/examples/image.h5
new file mode 100644
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Binary files /dev/null and b/examples/image.h5 differ
diff --git a/examples/logo.png b/examples/logo.png
new file mode 100644
index 0000000000000000000000000000000000000000..de2ad0b276f6d0789c5373a1f113e842a728a176
Binary files /dev/null and b/examples/logo.png differ
diff --git a/examples/logo.svg b/examples/logo.svg
new file mode 100644
index 0000000000000000000000000000000000000000..3fbe736f0080b1cbb6bf3e9c36153d8948949a4c
--- /dev/null
+++ b/examples/logo.svg
@@ -0,0 +1,220 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
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+   height="100mm"
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+  <g
+     inkscape:label="Ebene 1"
+     inkscape:groupmode="layer"
+     id="layer1">
+    <rect
+       style="fill:#000000;stroke-width:0.264583;fill-opacity:0"
+       id="rect1"
+       width="100"
+       height="100"
+       x="0"
+       y="0"
+       inkscape:label="rect1" />
+    <rect
+       style="fill:url(#radialGradient9);fill-opacity:1;stroke-width:0.264583;filter:url(#filter15)"
+       id="rect2"
+       width="100"
+       height="100"
+       x="0"
+       y="0" />
+    <text
+       xml:space="preserve"
+       style="font-size:25.4px;letter-spacing:2.64583px;fill:#1eb7be;fill-opacity:1;stroke-width:0.264583"
+       x="47.415554"
+       y="21.421324"
+       id="text9"><tspan
+         sodipodi:role="line"
+         id="tspan9"
+         style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:25.4px;font-family:'Cascadia Code';-inkscape-font-specification:'Cascadia Code';letter-spacing:2.64583px;fill:#ffffff;fill-opacity:1;stroke-width:0.264583"
+         x="47.415554"
+         y="21.421324">THD</tspan></text>
+    <text
+       xml:space="preserve"
+       style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:7.05556px;font-family:'Cascadia Code';-inkscape-font-specification:'Cascadia Code';letter-spacing:2.38125px;word-spacing:0px;fill:#ffffff;fill-opacity:1;stroke-width:0.264583"
+       x="2.3253708"
+       y="94.57032"
+       id="text10"><tspan
+         sodipodi:role="line"
+         id="tspan10"
+         style="font-size:7.05556px;letter-spacing:2.38125px;word-spacing:0px;stroke-width:0.264583"
+         x="2.3253708"
+         y="94.57032"
+         dx="0">TWIN ROBOTIC CT</tspan></text>
+    <text
+       xml:space="preserve"
+       style="font-style:normal;font-variant:normal;font-weight:normal;font-stretch:normal;font-size:12.7px;font-family:'Cascadia Code';-inkscape-font-specification:'Cascadia Code';letter-spacing:0px;word-spacing:0px;fill:#ffffff;fill-opacity:1;stroke-width:0.264583"
+       x="50.820835"
+       y="49.816677"
+       id="text10-8"><tspan
+         sodipodi:role="line"
+         style="font-size:12.7px;text-align:center;letter-spacing:0px;word-spacing:0px;text-anchor:middle;stroke-width:0.264583"
+         x="50.820835"
+         y="49.816677"
+         id="tspan1">H5</tspan><tspan
+         sodipodi:role="line"
+         style="font-size:12.7px;text-align:center;letter-spacing:0px;word-spacing:0px;text-anchor:middle;stroke-width:0.264583"
+         x="50.820835"
+         y="65.691673"
+         id="tspan2">SCHEMAS</tspan></text>
+  </g>
+</svg>
diff --git a/examples/projection.h5 b/examples/projection.h5
new file mode 100644
index 0000000000000000000000000000000000000000..a9fce5082c1b50215aceeb0712074452a1bedce9
Binary files /dev/null and b/examples/projection.h5 differ
diff --git a/examples/projection_geometry.h5 b/examples/projection_geometry.h5
new file mode 100644
index 0000000000000000000000000000000000000000..33fa0d029f9c06080eb024291a542da0e34bbf58
Binary files /dev/null and b/examples/projection_geometry.h5 differ
diff --git a/examples/source.h5 b/examples/source.h5
new file mode 100644
index 0000000000000000000000000000000000000000..f6de4360475dc8658021f739d24d044f6ee1b2dd
Binary files /dev/null and b/examples/source.h5 differ
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..2d3db473d55dc6eb4d166dd826a7610414f4c4e9
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,21 @@
+[project]
+name = "h5schemas"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+authors = [
+    { name = "swittl", email = "simon.wittl@th-deg.de" }
+]
+requires-python = ">=3.10"
+dependencies = [
+    "h5py>=3.13.0",
+    "jsonref>=1.1.0",
+    "thd-json>=0.1.11",
+]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.uv.sources]
+thd-json = { git = "https://mygit.th-deg.de/roboct/definitions/json_schemas" }
diff --git a/scripts/generate_example_projection.py b/scripts/generate_example_projection.py
new file mode 100644
index 0000000000000000000000000000000000000000..c2a0f512b6d2159307e897f6b1c3335b7f61eadf
--- /dev/null
+++ b/scripts/generate_example_projection.py
@@ -0,0 +1,40 @@
+from h5py import File
+import numpy as np
+from h5schemas.projection.add_projection import (
+    init_projection_dataset,
+    add_projection_sample,
+)
+
+
+def main():
+    # Generate a file in write mode.
+    test_file = File("./examples/projection.h5", "w")
+
+    # Initialize the .H5 structure
+    init_projection_dataset(test_file, False, (128, 128), (0.139, 0.139))
+
+    # Add dummy projections
+    add_projection_sample(
+        test_file,
+        1e5 * np.random.random((128, 128)),
+        [0.0, 1.0, 2.0],
+        [3.0, 4.0, 5.0, 6.0],
+        [7.0, 8.0, 9.0],
+        [10.0, 11.0, 12.0, 13],
+    )
+    add_projection_sample(
+        test_file,
+        1e5 * np.random.random((128, 128)),
+        [0.0, 1.0, 2.0],
+        [3.0, 4.0, 5.0, 6.0],
+        [7.0, 8.0, 9.0],
+        [10.0, 11.0, 12.0, 13],
+        voltage_kv=100,
+    )
+
+    # Access data
+    print(test_file["/image/image_array"][...])
+
+
+if __name__ == "__main__":
+    main()
diff --git a/src/h5schemas/__init__.py b/src/h5schemas/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..b2f4b30abdcc5bdc9daf5e131532712ef3880f74
--- /dev/null
+++ b/src/h5schemas/__init__.py
@@ -0,0 +1,2 @@
+def hello() -> str:
+    return "Hello from h5schemas!"
diff --git a/src/h5schemas/detector/__init__.py b/src/h5schemas/detector/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/src/h5schemas/detector/add_detector.py b/src/h5schemas/detector/add_detector.py
new file mode 100644
index 0000000000000000000000000000000000000000..9b5063ead04750d66c1a5e51cdf9d3a4832831af
--- /dev/null
+++ b/src/h5schemas/detector/add_detector.py
@@ -0,0 +1,36 @@
+from h5py import File, Group
+from thd_json import detector
+from h5schemas.scan_schema import open_schema
+from h5schemas.initialize_dataset import initialize_dataset
+
+
+def init_detector(
+    h5_file: File | Group,
+    detector_image_dimensions_px: tuple[int, int],
+    pixel_pitch_mm: tuple[float, float],
+):
+    # Get schemas and add them to the File | Group
+    schema_groups = get_detector_schemas()
+    initialize_dataset(h5_file, schema_groups)
+    add_detector_sample(h5_file, detector_image_dimensions_px, pixel_pitch_mm)
+
+
+def add_detector_sample(
+    h5_file: File | Group,
+    detector_image_dimensions_px: tuple[int, int],
+    pixel_pitch_mm: tuple[float, float],
+):
+    h5_file["image_dimensions_px/u"][...] = detector_image_dimensions_px[0]
+    h5_file["image_dimensions_px/v"][...] = detector_image_dimensions_px[1]
+
+    h5_file["pixel_pitch_mm/u"][...] = pixel_pitch_mm[0]
+    h5_file["pixel_pitch_mm/v"][...] = pixel_pitch_mm[1]
+
+
+def get_detector_schemas():
+    return open_schema(detector, "detector.json")
+
+
+if __name__ == "__main__":
+    test_file = File("./examples/detector.h5", "w")
+    init_detector(test_file)
diff --git a/src/h5schemas/h5_types/__init__.py b/src/h5schemas/h5_types/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/src/h5schemas/h5_types/base_dataset.py b/src/h5schemas/h5_types/base_dataset.py
new file mode 100644
index 0000000000000000000000000000000000000000..0d65a396590dd569149923c1ca0381d30a94cc4b
--- /dev/null
+++ b/src/h5schemas/h5_types/base_dataset.py
@@ -0,0 +1,29 @@
+from h5schemas.scan_schema import GroupDefinition
+import h5py
+import numpy as np
+
+
+class BaseDataset:
+    dataset: h5py.Dataset
+    minimum: int | float | None = None
+    maximum: int | float | None = None
+    dtype: str | np.float64 | np.float32 | np.uint16 | None = None
+
+    def __init__(self, definition: GroupDefinition):
+        self.path = definition.path
+        self.dataset_name = definition.path.rsplit("/")[-1]
+        self.group = definition.path[: -len(self.dataset_name)]
+        self.description = definition.description
+
+    @classmethod
+    def with_file(cls, definition: GroupDefinition, h5_file: h5py.File):
+        instance = cls(definition)
+        instance.add_to_file(h5_file)
+        instance.add_description()
+        return instance
+
+    def add_to_file(self, h5_file: h5py.File):
+        raise NotImplementedError("--- Add file needed ---")
+
+    def add_description(self):
+        self.dataset.attrs["description"] = self.description
diff --git a/src/h5schemas/h5_types/image.py b/src/h5schemas/h5_types/image.py
new file mode 100644
index 0000000000000000000000000000000000000000..8a844fc34bb5a0108562f47bc1f57441a73c743c
--- /dev/null
+++ b/src/h5schemas/h5_types/image.py
@@ -0,0 +1,21 @@
+from h5schemas.scan_schema import GroupDefinition
+from h5schemas.h5_types.base_dataset import BaseDataset
+import h5py
+import numpy as np
+
+
+class ImageDataset(BaseDataset):
+    dtype = np.uint16
+
+    def __init__(self, definition: GroupDefinition):
+        super().__init__(definition)
+
+    def add_to_file(self, h5_file: h5py.File):
+        group = h5_file.require_group(self.group)
+        self.dataset = group.create_dataset(
+            name=self.dataset_name,
+            shape=(0, 0, 0),
+            dtype=self.dtype,
+            chunks=True,
+            maxshape=(None, 3072, 3072),
+        )
diff --git a/src/h5schemas/h5_types/integer.py b/src/h5schemas/h5_types/integer.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2aebfca6138636f8fc1c0dd569645b13e1a6874
--- /dev/null
+++ b/src/h5schemas/h5_types/integer.py
@@ -0,0 +1,23 @@
+from h5schemas.scan_schema import GroupDefinition
+from h5schemas.h5_types.base_dataset import BaseDataset
+import h5py
+import numpy as np
+
+
+class IntegerDataset(BaseDataset):
+    dtype = np.int32
+
+    def __init__(self, definition: GroupDefinition):
+        super().__init__(definition)
+        self.minimum = definition.info.get("minimum", None)
+        self.minimum = definition.info.get("maximum", None)
+
+    def add_to_file(self, h5_file: h5py.File):
+        group = h5_file.require_group(self.group)
+        self.dataset = group.create_dataset(
+            name=self.dataset_name,
+            shape=(0,),
+            dtype=self.dtype,
+            chunks=True,
+            maxshape=(None,),
+        )
diff --git a/src/h5schemas/h5_types/number.py b/src/h5schemas/h5_types/number.py
new file mode 100644
index 0000000000000000000000000000000000000000..d1e414bcf2612e1130f1802da8dfa34b3abb4206
--- /dev/null
+++ b/src/h5schemas/h5_types/number.py
@@ -0,0 +1,23 @@
+from h5schemas.scan_schema import GroupDefinition
+from h5schemas.h5_types.base_dataset import BaseDataset
+import h5py
+import numpy as np
+
+
+class NumberDataset(BaseDataset):
+    dtype = np.float64
+
+    def __init__(self, definition: GroupDefinition):
+        super().__init__(definition)
+        self.minimum = definition.info.get("minimum", None)
+        self.minimum = definition.info.get("maximum", None)
+
+    def add_to_file(self, h5_file: h5py.File):
+        group = h5_file.require_group(self.group)
+        self.dataset = group.create_dataset(
+            name=self.dataset_name,
+            shape=(0,),
+            dtype=self.dtype,
+            chunks=True,
+            maxshape=(None,),
+        )
diff --git a/src/h5schemas/h5_types/string.py b/src/h5schemas/h5_types/string.py
new file mode 100644
index 0000000000000000000000000000000000000000..afe474faf9aee5582a0c0133df4a75a355f7f48f
--- /dev/null
+++ b/src/h5schemas/h5_types/string.py
@@ -0,0 +1,22 @@
+from h5schemas.scan_schema import GroupDefinition
+from h5schemas.h5_types.base_dataset import BaseDataset
+import h5py
+
+STRING_SIZE = 100
+
+
+class StringDataset(BaseDataset):
+    dtype = f"S{STRING_SIZE}"
+
+    def __init__(self, definition: GroupDefinition):
+        super().__init__(definition)
+
+    def add_to_file(self, h5_file: h5py.File):
+        group = h5_file.require_group(self.group)
+        self.dataset = group.create_dataset(
+            name=self.dataset_name,
+            shape=(0,),
+            dtype=self.dtype,
+            chunks=True,
+            maxshape=(None,),
+        )
diff --git a/src/h5schemas/header/__init__.py b/src/h5schemas/header/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/src/h5schemas/header/add_header.py b/src/h5schemas/header/add_header.py
new file mode 100644
index 0000000000000000000000000000000000000000..d95bc9e83b0e82a3aa00cd697850e831840284e2
--- /dev/null
+++ b/src/h5schemas/header/add_header.py
@@ -0,0 +1,57 @@
+from h5py import File, Group
+from thd_json import header
+from h5schemas.scan_schema import open_schema
+from h5schemas.initialize_dataset import initialize_dataset
+from datetime import datetime
+
+
+def init_header(
+    h5_file: File | Group,
+):
+    schema_groups = get_header_schemas()
+    initialize_dataset(h5_file, schema_groups)
+
+
+def get_header_schemas():
+    return open_schema(header, "header.json")
+
+
+def check_uuid_time_stamp(uuid: str | None = None, timestamp: int | None = None):
+    if uuid is None:
+        json_header = header.generate_header()
+        uuid = json_header.uuid
+
+    if timestamp is None:
+        timestamp = datetime.fromisoformat(json_header.timestamp).timestamp()
+
+    return uuid, timestamp
+
+
+def add_header_sample(
+    h5_file: File | Group, uuid: str | None, timestamp: float | None = None
+):
+    uuid, timestamp = check_uuid_time_stamp(uuid, timestamp)
+
+    dst = h5_file["uuid"]
+    dst.resize((dst.shape[0] + 1,))
+    dst[-1,] = uuid
+
+    dst = h5_file["timestamp"]
+    dst.resize((dst.shape[0] + 1,))
+    dst[-1,] = timestamp
+
+
+def uuid_time_from_json_header(json_header_obj: header.JsonHeader) -> tuple[str, float]:
+    return json_header_obj.uuid, datetime.fromisoformat(
+        json_header_obj.timestamp
+    ).timestamp()
+
+
+if __name__ == "__main__":
+    test_file = File("./examples/header.h5", "w")
+    init_header(test_file)
+
+    add_header_sample(test_file, None)
+    add_header_sample(test_file, None)
+    add_header_sample(test_file, None)
+    add_header_sample(test_file, *uuid_time_from_json_header(header.generate_header()))
diff --git a/src/h5schemas/image/__init__.py b/src/h5schemas/image/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/src/h5schemas/image/add_image.py b/src/h5schemas/image/add_image.py
new file mode 100644
index 0000000000000000000000000000000000000000..6f52c5cc76fba9b14c2741a835228a1892ef1b44
--- /dev/null
+++ b/src/h5schemas/image/add_image.py
@@ -0,0 +1,41 @@
+from h5py import File, Group
+from thd_json import image
+from h5schemas.scan_schema import open_schema
+from h5schemas.initialize_dataset import initialize_dataset
+
+from h5schemas.header.add_header import add_header_sample
+
+import numpy as np
+from pathlib import Path
+
+
+def init_image_dataset(h5_file: File | Group, image_as_path: bool):
+    schema_groups = open_schema(image, "image.json", image_as_path=image_as_path)
+    initialize_dataset(h5_file, schema_groups)
+
+
+def add_image_sample(
+    h5_file: File | Group,
+    image: Path | np.ndarray,
+    uuid: str | None = None,
+    timestamp: int | None = None,
+):
+    if isinstance(image, Path):
+        dst = h5_file["image_path"]
+        dst.resize((dst.shape[0] + 1,))
+        dst[-1,] = str(image)
+    else:
+        dst = h5_file["image_array"]
+        dst.resize((dst.shape[0] + 1, image.shape[0], image.shape[1]))
+        dst[-1] = image
+
+    add_header_sample(h5_file["header"], uuid, timestamp)
+
+
+if __name__ == "__main__":
+    test_file = File("./examples/image.h5", "w")
+    init_image_dataset(test_file, False)
+
+    add_image_sample(test_file, 1e5 * np.random.random((128, 128)))
+    add_image_sample(test_file, 1e5 * np.random.random((128, 128)))
+    print(test_file["/image_array"][...])
diff --git a/src/h5schemas/initialize_dataset.py b/src/h5schemas/initialize_dataset.py
new file mode 100644
index 0000000000000000000000000000000000000000..4e3dbd31a69528b6c79a8328d20482bae4f1a47a
--- /dev/null
+++ b/src/h5schemas/initialize_dataset.py
@@ -0,0 +1,31 @@
+import h5py
+from h5schemas.scan_schema import GroupDefinition
+from h5schemas.h5_types.number import NumberDataset
+from h5schemas.h5_types.integer import IntegerDataset
+from h5schemas.h5_types.string import StringDataset
+from h5schemas.h5_types.image import ImageDataset
+
+
+NONE = "null"
+
+
+def initialize_dataset(main_file: h5py.File, datasets: list[GroupDefinition]):
+    for dataset in datasets:
+        if dataset.type == "number":
+            dst = NumberDataset.with_file(dataset, main_file)
+        elif dataset.type == "integer":
+            dst = IntegerDataset.with_file(dataset, main_file)
+        elif dataset.type == "string":
+            dst = StringDataset.with_file(dataset, main_file)
+        elif dataset.type == "image":
+            dst = ImageDataset.with_file(dataset, main_file)
+
+        dst.dataset.attrs["required"] = dataset.required
+
+        if isinstance(dst, (IntegerDataset, NumberDataset)):
+            dst.dataset.attrs["minimum"] = (
+                dst.minimum if dst.minimum is not None else NONE
+            )
+            dst.dataset.attrs["maximum"] = (
+                dst.maximum if dst.minimum is not None else NONE
+            )
diff --git a/src/h5schemas/projection/__init__.py b/src/h5schemas/projection/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/src/h5schemas/projection/add_projection.py b/src/h5schemas/projection/add_projection.py
new file mode 100644
index 0000000000000000000000000000000000000000..1afd74cf93d7d90f36323fbe9e94ae4d131e7c0d
--- /dev/null
+++ b/src/h5schemas/projection/add_projection.py
@@ -0,0 +1,90 @@
+from h5py import File
+from thd_json import projection
+from h5schemas.scan_schema import open_schema
+from h5schemas.initialize_dataset import initialize_dataset
+
+from h5schemas.detector.add_detector import add_detector_sample
+from h5schemas.image.add_image import add_image_sample
+from h5schemas.projection_geometry.add_projection_geometry import (
+    add_projection_geometry_sample,
+)
+from h5schemas.header.add_header import check_uuid_time_stamp
+from h5schemas.source.add_source import add_source_sample
+
+import numpy as np
+from pathlib import Path
+
+
+def init_projection_dataset(
+    h5_file: File,
+    image_as_path: bool,
+    detector_image_dimensions_px: tuple[int, int],
+    pixel_pitch_mm: tuple[float, float],
+):
+    schema_groups = open_schema(
+        projection, "projection.json", image_as_path=image_as_path
+    )
+
+    initialize_dataset(h5_file, schema_groups)
+    add_detector_sample(
+        h5_file["/detector"], detector_image_dimensions_px, pixel_pitch_mm
+    )
+
+
+def add_projection_sample(
+    h5_file: File,
+    image: Path | np.ndarray,
+    detector_center_position_mm: tuple[float, float, float],
+    detector_center_orientation_quat: tuple[float, float, float, float],
+    focal_spot_position_mm: tuple[float, float, float],
+    focal_spot_orientation_quat: tuple[float, float, float, float] | None = None,
+    current_ma: float = 0,
+    voltage_kv: float = 0,
+    uuid: str | None = None,
+    timestamp: int | None = None,
+):
+    uuid, timestamp = check_uuid_time_stamp(uuid, timestamp)
+    add_image_sample(h5_file["/image"], image, uuid, timestamp)
+    add_projection_geometry_sample(
+        h5_file["/projection_geometry"],
+        detector_center_position_mm,
+        detector_center_orientation_quat,
+        focal_spot_position_mm,
+        focal_spot_orientation_quat,
+        uuid,
+        timestamp,
+    )
+    add_projection_geometry_sample(
+        h5_file["/projection_geometry_nominal"],
+        detector_center_position_mm,
+        detector_center_orientation_quat,
+        focal_spot_position_mm,
+        focal_spot_orientation_quat,
+        uuid,
+        timestamp,
+    )
+    add_source_sample(h5_file["/source"], current_ma, voltage_kv)
+
+
+if __name__ == "__main__":
+    test_file = File("./examples/projection.h5", "w")
+    init_projection_dataset(test_file, False, (128, 128), (0.139, 0.139))
+
+    add_projection_sample(
+        test_file,
+        1e5 * np.random.random((128, 128)),
+        [0.0, 1.0, 2.0],
+        [3.0, 4.0, 5.0, 6.0],
+        [7.0, 8.0, 9.0],
+        [10.0, 11.0, 12.0, 13],
+    )
+    add_projection_sample(
+        test_file,
+        1e5 * np.random.random((128, 128)),
+        [0.0, 1.0, 2.0],
+        [3.0, 4.0, 5.0, 6.0],
+        [7.0, 8.0, 9.0],
+        [10.0, 11.0, 12.0, 13],
+        voltage_kv=100,
+    )
+    print(test_file["/image/image_array"][...])
diff --git a/src/h5schemas/projection_geometry/__init__.py b/src/h5schemas/projection_geometry/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/src/h5schemas/projection_geometry/add_projection_geometry.py b/src/h5schemas/projection_geometry/add_projection_geometry.py
new file mode 100644
index 0000000000000000000000000000000000000000..45a608c89db6cd6af7f4dd368d0c727e68d6cab2
--- /dev/null
+++ b/src/h5schemas/projection_geometry/add_projection_geometry.py
@@ -0,0 +1,115 @@
+from h5py import File, Group
+from thd_json import projection_geometry
+from h5schemas.scan_schema import open_schema
+from h5schemas.initialize_dataset import initialize_dataset
+from h5schemas.header.add_header import add_header_sample
+
+
+def init_projection_geometry(
+    h5_file: File | Group,
+):
+    schema_groups = get_projection_geometry_schemas()
+    initialize_dataset(h5_file, schema_groups)
+
+
+def get_projection_geometry_schemas():
+    return open_schema(projection_geometry, "projection_geometry.json")
+
+
+def map_update(values):
+    dst, value = values
+    dst.resize((dst.shape[0] + 1,))
+    dst[-1] = value
+
+
+def add_projection_geometry_sample(
+    h5_file: File | Group,
+    detector_center_position_mm: tuple[float, float, float],
+    detector_center_orientation_quat: tuple[float, float, float, float],
+    focal_spot_position_mm: tuple[float, float, float],
+    focal_spot_orientation_quat: tuple[float, float, float, float] | None = None,
+    uuid: str | None = None,
+    timestamp: float | None = None,
+):
+    update_values = list()
+
+    update_values.append(
+        [h5_file["detector_center_position_mm/x"], detector_center_position_mm[0]]
+    )
+    update_values.append(
+        [h5_file["detector_center_position_mm/y"], detector_center_position_mm[1]]
+    )
+    update_values.append(
+        [h5_file["detector_center_position_mm/z"], detector_center_position_mm[2]]
+    )
+
+    update_values.append(
+        [
+            h5_file["detector_center_orientation_quat/x"],
+            detector_center_orientation_quat[0],
+        ]
+    )
+    update_values.append(
+        [
+            h5_file["detector_center_orientation_quat/y"],
+            detector_center_orientation_quat[1],
+        ]
+    )
+    update_values.append(
+        [
+            h5_file["detector_center_orientation_quat/z"],
+            detector_center_orientation_quat[2],
+        ]
+    )
+    update_values.append(
+        [
+            h5_file["detector_center_orientation_quat/w"],
+            detector_center_orientation_quat[3],
+        ]
+    )
+
+    update_values.append(
+        [h5_file["focal_spot_position_mm/x"], focal_spot_position_mm[0]]
+    )
+    update_values.append(
+        [h5_file["focal_spot_position_mm/y"], focal_spot_position_mm[1]]
+    )
+    update_values.append(
+        [h5_file["focal_spot_position_mm/z"], focal_spot_position_mm[2]]
+    )
+
+    if focal_spot_orientation_quat is None:
+        focal_spot_orientation_quat = (0.0, 0.0, 0.0, 1.0)
+
+    update_values.append(
+        [h5_file["focal_spot_orientation_quat/x"], focal_spot_orientation_quat[0]]
+    )
+    update_values.append(
+        [h5_file["focal_spot_orientation_quat/y"], focal_spot_orientation_quat[1]]
+    )
+    update_values.append(
+        [h5_file["focal_spot_orientation_quat/z"], focal_spot_orientation_quat[2]]
+    )
+    update_values.append(
+        [h5_file["focal_spot_orientation_quat/w"], focal_spot_orientation_quat[3]]
+    )
+
+    for value in update_values:
+        map_update(value)
+
+    add_header_sample(h5_file["header"], uuid, timestamp)
+
+
+if __name__ == "__main__":
+    test_file = File("./examples/projection_geometry.h5", "w")
+    init_projection_geometry(test_file)
+    add_projection_geometry_sample(
+        test_file,
+        [0.0, 1.0, 2.0],
+        [3.0, 4.0, 5.0, 6.0],
+        [7.0, 8.0, 9.0],
+        [10.0, 11.0, 12.0, 13],
+    )
+    add_projection_geometry_sample(
+        test_file, [0.0, 1.0, 2.0], [3.0, 4.0, 5.0, 6.0], [7.0, 8.0, 9.0]
+    )
diff --git a/src/h5schemas/py.typed b/src/h5schemas/py.typed
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/src/h5schemas/scan_schema.py b/src/h5schemas/scan_schema.py
new file mode 100644
index 0000000000000000000000000000000000000000..53ab9520449925f1ce20fb6e2923f72b3ad191cf
--- /dev/null
+++ b/src/h5schemas/scan_schema.py
@@ -0,0 +1,79 @@
+from dataclasses import dataclass
+from pathlib import Path
+import jsonref
+
+
+@dataclass
+class GroupDefinition:
+    path: str
+    type: str
+    description: str
+    required: bool
+    info: dict
+
+    def __str__(self) -> str:
+        return f"{self.path}\n- Type: {self.type}\n- Description: {self.description}\n- Required: {self.required}"
+
+
+def open_schema(
+    module: callable,
+    path: str,
+    image_as_path: bool = False,
+):
+    json_schema = Path(module.__file__).parent / path
+    base_uri = json_schema.parent.absolute().as_uri() + "/"
+
+    with open(str(json_schema)) as schema_file:
+        schema = jsonref.load(schema_file, base_uri=base_uri)
+
+    schema_groups = list()
+    required_groups = list()
+    get_schema_groups(
+        schema_groups, schema, required_groups, image_as_path=image_as_path
+    )
+    return schema_groups
+
+
+def get_schema_groups(
+    schema_groups: list,
+    schema_dict: dict,
+    required_groups: list,
+    base_path: str = "",
+    depth: int = 0,
+    image_as_path: bool = False,
+) -> list[GroupDefinition]:
+    for required_path in schema_dict["required"]:
+        required_groups.append(f"{base_path}/{required_path}")
+
+    for schema_name in schema_dict["properties"]:
+        schema_object = schema_dict["properties"][schema_name]
+        schema_type = schema_object["type"]
+        path = f"{base_path}/{schema_name}"
+        if schema_type == "object":
+            for required_path in schema_object["required"]:
+                required_groups.append(f"{path}/{required_path}")
+            get_schema_groups(
+                schema_groups,
+                schema_object,
+                required_groups,
+                path,
+                depth + 1,
+                image_as_path,
+            )
+        else:
+            if schema_name == "image_path" and not image_as_path:
+                schema_type = "image"
+                schema_name = "image_array"
+                path = f"{base_path}/{schema_name}"
+            if schema_name == "timestamp":
+                schema_type = "number"
+            if path in required_groups:
+                required = True
+            else:
+                required = False
+            print(f"{' ' * depth}- {schema_name} {path} {schema_type} {required}")
+
+            group_definition = GroupDefinition(
+                path, schema_type, schema_object["description"], required, schema_object
+            )
+            schema_groups.append(group_definition)
diff --git a/src/h5schemas/source/__init__.py b/src/h5schemas/source/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/src/h5schemas/source/add_source.py b/src/h5schemas/source/add_source.py
new file mode 100644
index 0000000000000000000000000000000000000000..c27ab3a5cf4e07fa1b76be56e5ef375f2656cbb8
--- /dev/null
+++ b/src/h5schemas/source/add_source.py
@@ -0,0 +1,32 @@
+from h5py import File, Group
+from thd_json import source
+from h5schemas.scan_schema import open_schema
+from h5schemas.initialize_dataset import initialize_dataset
+
+
+def init_source(h5_file: File | Group):
+    schema_groups = get_source_schemas()
+    initialize_dataset(h5_file, schema_groups)
+
+
+def get_source_schemas():
+    return open_schema(source, "source.json")
+
+
+def add_source_sample(h5_file: File | Group, current_ma: float, voltage_kv: float):
+    dst = h5_file["current_ma"]
+    dst.resize((dst.shape[0] + 1,))
+    dst[-1,] = current_ma
+
+    dst = h5_file["voltage_kv"]
+    dst.resize((dst.shape[0] + 1,))
+    dst[-1,] = voltage_kv
+
+
+if __name__ == "__main__":
+    test_file = File("./examples/source.h5", "w")
+    init_source(test_file)
+
+    add_source_sample(test_file, 1.0, 6.0)
+    add_source_sample(test_file, 2.0, 7.0)
+    add_source_sample(test_file, 3.0, 8.0)
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000000000000000000000000000000000000..d5b322e2d676f2c9021288d4d67c58cafc031600
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,489 @@
+version = 1
+requires-python = ">=3.10"
+
+[[package]]
+name = "attrs"
+version = "25.3.0"
+source = { registry = "https://pypi.org/simple" }
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+]
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+version = "1.2.2"
+source = { registry = "https://pypi.org/simple" }
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+]
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+[[package]]
+name = "h5py"
+version = "3.13.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+]
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