diff --git a/packages/essimaging/src/ess/imaging/conversion.py b/packages/essimaging/src/ess/imaging/conversion.py
index e26f5611..17a5dfd7 100644
--- a/packages/essimaging/src/ess/imaging/conversion.py
+++ b/packages/essimaging/src/ess/imaging/conversion.py
@@ -29,8 +29,8 @@ def make_coordinate_transform_graph(
     graph = {
         **scn.conversion.graph.beamline.beamline(scatter=False),
         **scn.conversion.graph.tof.elastic("tof"),
-        'sample_position': lambda: sample_position,
-        'source_position': lambda: source_position,
+        'sample_position': lambda: sample_position.position,
+        'source_position': lambda: source_position.position,
         'gravity': lambda: gravity,
     }
     return CoordTransformGraph(graph)
diff --git a/packages/essnmx/src/ess/nmx/workflows.py b/packages/essnmx/src/ess/nmx/workflows.py
index c1835dc0..9cfd2fda 100644
--- a/packages/essnmx/src/ess/nmx/workflows.py
+++ b/packages/essnmx/src/ess/nmx/workflows.py
@@ -129,8 +129,8 @@ def assemble_sample_metadata(
 
     return NMXSampleMetadata(
         name=sample_name,
-        crystal_rotation=crystal_rotation,
-        position=sample_position,
+        crystal_rotation=crystal_rotation.position,
+        position=sample_position.position,
     )
 
 
@@ -138,7 +138,7 @@ def assemble_source_metadata(
     source_position: Position[snx.NXsource, SampleRun],
 ) -> NMXSourceMetadata:
     """Assemble source metadata for NMX reduction workflow."""
-    return NMXSourceMetadata(position=source_position)
+    return NMXSourceMetadata(position=source_position.position)
 
 
 def _decide_fast_axis(da: sc.DataArray) -> str:
@@ -221,7 +221,7 @@ def assemble_detector_metadata(
     slow_axis_vector = axis_vectors[_slow_axis].to(unit=t_unit)
     x_pixel_size = _decide_step(empty_detector.coords['x_pixel_offset'])
     y_pixel_size = _decide_step(empty_detector.coords['y_pixel_offset'])
-    distance = sc.norm(origin - source_position.to(unit=origin.unit))
+    distance = sc.norm(origin - source_position.position.to(unit=origin.unit))
 
     # We save the first pixel position so that DIALS can read use it.
     flattened = empty_detector.flatten(to='detector_number')
@@ -229,7 +229,7 @@ def assemble_detector_metadata(
     first_pixel_position = flattened['detector_number', first_pixel_number].coords[
         'position'
     ]
-    first_pixel_position_from_sample = first_pixel_position - sample_position
+    first_pixel_position_from_sample = first_pixel_position - sample_position.position
 
     return NMXDetectorMetadata(
         detector_name=detector_component['nexus_component_name'],
diff --git a/packages/essreduce/pyproject.toml b/packages/essreduce/pyproject.toml
index 0dae9f92..c852063f 100644
--- a/packages/essreduce/pyproject.toml
+++ b/packages/essreduce/pyproject.toml
@@ -31,7 +31,7 @@ dynamic = ["version"]
 
 dependencies = [
     "sciline>=25.11.0",
-    "scipp>=26.3.0",
+    "scipp>=26.3.1",
     "scippneutron>=25.11.1",
     "scippnexus>=25.06.0",
 ]
diff --git a/packages/essreduce/src/ess/reduce/nexus/types.py b/packages/essreduce/src/ess/reduce/nexus/types.py
index 05dcbb62..2d4ad93d 100644
--- a/packages/essreduce/src/ess/reduce/nexus/types.py
+++ b/packages/essreduce/src/ess/reduce/nexus/types.py
@@ -2,7 +2,7 @@
 
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Any, BinaryIO, Generic, NewType, TypeVar
+from typing import Any, BinaryIO, Generic, NewType, TypeVar,Self
 
 import sciline
 import scipp as sc
@@ -185,8 +185,53 @@ class NeXusData(sciline.Scope[Component, RunType, sc.DataArray], sc.DataArray):
     """
 
 
-class Position(sciline.Scope[Component, RunType, sc.Variable], sc.Variable):
-    """Position of a component such as source, sample, monitor, or detector."""
+@dataclass(init=False, repr=False, slots=True)
+class Position(Generic[Component, RunType]):
+    """Position of a component such as source, sample, monitor, or detector.
+
+    The position can depend on time. In this case, a time coordinate is also stored.
+    Use ``position`` to get the position if it is scalar, or ``positions``
+    to get the position as a (potentially time-dependent) DataArray.
+    """
+    _position: sc.Variable
+    _time: sc.Variable | None
+
+    def __init__(self, pos: sc.DataArray|sc.Variable)->None:
+        if pos.ndim == 0:
+            self._position = pos.data if isinstance(pos, sc.DataArray) else pos
+            self._time = None
+        else:
+            if not isinstance(pos, sc.DataArray):
+                raise sc.DimensionError("Position is not a scalar, so it must be a DataArray")
+            self._position = pos.data
+            self._time = pos.coords['time']
+
+    @property
+    def is_dynamic(self)->bool:
+        return self._time is not None
+
+    @property
+    def position(self) -> sc.Variable:
+        if self.is_dynamic:
+            raise sc.DimensionError("Position is time-dependent, use `positions` instead.")
+        return self._position
+
+    @property
+    def positions(self) -> sc.DataArray:
+        da = sc.DataArray(self._position)
+        if self._time is not None:
+            da.coords['time'] = self._time
+        return da
+
+    def __str__(self)->str:
+        if self.is_dynamic:
+            time_str = f", time={self._time}"
+        else:
+            time_str = ""
+        return f"Position(position={self._position}{time_str})"
+
+    def __repr__(self)->str:
+        return f"Position(position={self._position}, time={self._time})"
 
 
 class DetectorPositionOffset(sciline.Scope[RunType, sc.Variable], sc.Variable):
@@ -280,25 +325,21 @@ class NeXusTransformationChain(
 
 @dataclass
 class NeXusTransformation(Generic[Component, RunType]):
-    value: sc.Variable
+    """A NeXus transformation computed from a transformation chain.
+
+    If the transformation is time-dependent, it is stored as a data array
+    with a 'time' coordinate.
+    Otherwise, the transformation is stored as a variable.
+    """
+
+    value: sc.Variable | sc.DataArray
 
     @staticmethod
     def from_chain(
         chain: NeXusTransformationChain[Component, RunType],
     ) -> 'NeXusTransformation[Component, RunType]':
-        """
-        Convert a transformation chain to a single transformation.
-
-        As transformation chains may be time-dependent, this method will need to select
-        a specific time point to convert to a single transformation. This may include
-        averaging as well as threshold checks. This is not implemented yet and we
-        therefore currently raise an error if the transformation chain does not compute
-        to a scalar.
-        """
-        if chain.transformations.sizes != {}:
-            raise ValueError(f"Expected scalar transformation, got {chain}")
-        transform = chain.compute()
-        return NeXusTransformation(value=transform)
+        """Convert a transformation chain to a single transformation."""
+        return NeXusTransformation(value=chain.compute())
 
 
 class RawChoppers(
diff --git a/packages/essreduce/src/ess/reduce/nexus/workflow.py b/packages/essreduce/src/ess/reduce/nexus/workflow.py
index 29cd1c3d..4cbeedfb 100644
--- a/packages/essreduce/src/ess/reduce/nexus/workflow.py
+++ b/packages/essreduce/src/ess/reduce/nexus/workflow.py
@@ -8,6 +8,7 @@
 from copy import deepcopy
 from typing import Any, TypeVar
 
+import numpy as np
 import sciline
 import sciline.typing
 import scipp as sc
@@ -275,26 +276,51 @@ def load_nexus_data(
 
 
 def get_transformation_chain(
-    detector: NeXusComponent[Component, RunType],
+    component: NeXusComponent[Component, RunType],
 ) -> NeXusTransformationChain[Component, RunType]:
     """
-    Extract the transformation chain from a NeXus detector group.
+    Extract the transformation chain from a NeXus component group.
 
     Parameters
     ----------
-    detector:
-        NeXus detector group.
+    component:
+        NeXus component group.
     """
-    chain = detector['depends_on']
+    chain = component['depends_on']
     return NeXusTransformationChain[Component, RunType](chain)
 
 
-def _time_filter(transform: sc.DataArray) -> sc.Variable:
+def _collapse_runs(transform: sc.DataArray, dim: str) -> sc.DataArray:
+    """Collapse runs of equal values into a single value."""
+    # Find indices where the data changes
+    different_from_previous = np.hstack(
+        [True, ~np.isclose(transform.values[:-1], transform.values[1:])]
+    )
+    change_indices = np.flatnonzero(different_from_previous)
+    if change_indices.shape == transform.shape:
+        return transform  # Return early to avoid expensive indexing
+    # Get unique values
+    unique_values = transform[change_indices]
+
+    # Make bin-edges and extend range to include the whole measurement
+    last = unique_values.coords[dim][-1]
+    unique_values.coords[dim] = sc.concat(
+        [
+            # bin-edges are left-inclusive, so we can start with coord[0] as first edge
+            unique_values.coords[dim],
+            # Surely, no experiment will last more than 10 years...
+            last + sc.scalar(10, unit='Y').to(unit=last.unit),
+        ],
+        dim=dim,
+    )
+
+    return unique_values
+
+
+def _time_filter(transform: sc.DataArray) -> sc.Variable | sc.DataArray:
     if transform.ndim == 0 or transform.sizes == {'time': 1}:
         return transform.data.squeeze()
-    raise ValueError(
-        f"Transform is time-dependent: {transform}, but no filter is provided."
-    )
+    return _collapse_runs(transform, dim='time')
 
 
 def to_transformation(
@@ -369,6 +395,10 @@ def get_calibrated_detector(
     The data array is reshaped to the logical detector shape, by folding the data
     array along the detector_number dimension.
 
+    The output contains pixel positions computed from ``transform`` and ``offset``.
+    If ``transform`` is time-dependent, the output contains a 'time' dimension
+    and coordinate corresponding to the time coordinate of ``transform``.
+
     Parameters
     ----------
     detector:
@@ -401,9 +431,17 @@ def get_calibrated_detector(
     else:
         transform_value = transform.value
     position = transform_value * offsets
-    return EmptyDetector[RunType](
-        da.assign_coords(position=position + offset.to(unit=position.unit))
-    )
+
+    position = position + offset.to(unit=position.unit)
+    if isinstance(position, sc.DataArray):  # time-dependent transform
+        # Store position and time as separate coords because we can't store data arrays.
+        return EmptyDetector[RunType](
+            da.broadcast(
+                dims=['time', *da.dims], shape=[position.sizes['time'], *da.shape]
+            ).assign_coords(position=position.data, time=position.coords['time'])
+        )
+
+    return EmptyDetector[RunType](da.assign_coords(position=position))
 
 
 def assemble_detector_data(
@@ -422,13 +460,29 @@ def assemble_detector_data(
     neutron_data:
         Neutron data array (events or histogram).
     """
-    if neutron_data.bins is not None:
+    detector_coords = dict(detector.coords)
+    if neutron_data.is_binned:
         neutron_data = nexus.group_event_data(
             event_data=neutron_data, detector_number=detector.coords['detector_number']
         )
+        if 'time' in detector.dims:
+            # Give the neutron data a 'time' dimension matching the times in the
+            # detector data. Preserve the `event_time_zero` event coord.
+            # This is needed to add time-dependent detector coords and masks below.
+            neutron_data = neutron_data.bin(
+                event_time_zero=detector_coords['time'].rename(time='event_time_zero')
+            ).rename_dims(event_time_zero='time')
+            neutron_data.coords['time'] = neutron_data.coords.pop('event_time_zero')
+    else:
+        position = detector_coords.get('position')
+        if position is not None and 'time' in position.dims:
+            raise NotImplementedError(
+                "Time-dependent positions are not yet supported for histogram data."
+            )
+
     return RawDetector[RunType](
         _add_variances(neutron_data)
-        .assign_coords(detector.coords)
+        .assign_coords(detector_coords)
         .assign_masks(detector.masks)
     )
 
@@ -659,7 +713,6 @@ def load_source_metadata_from_nexus(
 definitions["NXdetector"] = _StrippedDetector
 definitions["NXmonitor"] = _StrippedMonitor
 
-
 _common_providers = (
     gravity_vector_neg_y,
     file_path_to_file_spec,
diff --git a/packages/essreduce/src/ess/reduce/time_of_flight/eto_to_tof.py b/packages/essreduce/src/ess/reduce/time_of_flight/eto_to_tof.py
index 7982680b..109ad2f8 100644
--- a/packages/essreduce/src/ess/reduce/time_of_flight/eto_to_tof.py
+++ b/packages/essreduce/src/ess/reduce/time_of_flight/eto_to_tof.py
@@ -365,8 +365,8 @@ def detector_ltotal_from_straight_line_approximation(
     """
     graph = {
         **scn.conversion.graph.beamline.beamline(scatter=True),
-        'source_position': lambda: source_position,
-        'sample_position': lambda: sample_position,
+        'source_position': lambda: source_position.position,
+        'sample_position': lambda: sample_position.position,
         'gravity': lambda: gravity,
     }
     return DetectorLtotal[RunType](
@@ -393,7 +393,7 @@ def monitor_ltotal_from_straight_line_approximation(
     """
     graph = {
         **scn.conversion.graph.beamline.beamline(scatter=False),
-        'source_position': lambda: source_position,
+        'source_position': lambda: source_position.position,
     }
     return MonitorLtotal[RunType, MonitorType](
         monitor_beamline.transform_coords(
diff --git a/packages/essreduce/tests/nexus/workflow_test.py b/packages/essreduce/tests/nexus/workflow_test.py
index 9128c47e..a5ba59f9 100644
--- a/packages/essreduce/tests/nexus/workflow_test.py
+++ b/packages/essreduce/tests/nexus/workflow_test.py
@@ -114,7 +114,30 @@ def test_can_compute_position_of_group(depends_on: snx.TransformationChain) -> N
         chain,
         interval=TimeInterval(slice(None, None)),
     )
-    assert_identical(workflow.compute_position(trans), position)
+    assert_identical(workflow.compute_position(trans).position, position)
+
+
+def test_can_compute_position_of_group_time_dependent(
+    time_dependent_depends_on: snx.TransformationChain,
+) -> None:
+    position = sc.DataArray(
+        sc.vectors(
+            dims=['time'],
+            values=[[1.0, 1.0, 0.0], [1.0, 2.0, 0.0], [1.0, 3.0, 0.0]],
+            unit='m',
+        ),
+        coords={'time': sc.array(dims=['time'], values=[0.0, 1.0, 2.0], unit='s')},
+    )
+
+    group = workflow.NeXusComponent[snx.NXsource, SampleRun](
+        sc.DataGroup(depends_on=time_dependent_depends_on)
+    )
+    chain = workflow.get_transformation_chain(group)
+    trans = workflow.to_transformation(
+        chain,
+        interval=TimeInterval(slice(None, None)),
+    )
+    assert_identical(workflow.compute_position(trans).positions, position)
 
 
 def test_to_transform_with_positional_time_interval(
@@ -172,16 +195,6 @@ def test_to_transform_with_label_based_time_interval_single_point(
     assert sc.identical(transform * origin, sc.vector([1.0, 3.0, 0.0], unit='m'))
 
 
-def test_to_transform_raises_if_interval_does_not_yield_unique_value(
-    time_dependent_depends_on: snx.TransformationChain,
-) -> None:
-    with pytest.raises(ValueError, match='Transform is time-dependent'):
-        workflow.to_transformation(
-            time_dependent_depends_on,
-            TimeInterval(slice(sc.scalar(0.1, unit='s'), sc.scalar(1.9, unit='s'))),
-        )
-
-
 def test_given_no_sample_load_nexus_sample_returns_group_with_origin_depends_on(
     loki_tutorial_sample_run_60250: Path,
 ) -> None:
@@ -198,7 +211,7 @@ def test_given_no_sample_load_nexus_sample_returns_group_with_origin_depends_on(
         interval=TimeInterval(slice(None, None)),
     )
     position = workflow.compute_position(transformation)
-    assert_identical(position, sc.vector([0.0, 0.0, 0.0], unit='m'))
+    assert_identical(position.position, sc.vector([0.0, 0.0, 0.0], unit='m'))
 
 
 def test_get_transformation_chain_raises_exception_if_position_not_found(
diff --git a/packages/essreduce/tests/time_of_flight/workflow_test.py b/packages/essreduce/tests/time_of_flight/workflow_test.py
index a9848517..c99f0660 100644
--- a/packages/essreduce/tests/time_of_flight/workflow_test.py
+++ b/packages/essreduce/tests/time_of_flight/workflow_test.py
@@ -68,8 +68,8 @@ def workflow() -> GenericTofWorkflow:
     wf[time_of_flight.LookupTableRelativeErrorThreshold] = {'detector': np.inf}
     wf[EmptyDetector[SampleRun]] = calibrated_beamline
     wf[NeXusData[snx.NXdetector, SampleRun]] = nexus_data
-    wf[Position[snx.NXsample, SampleRun]] = sc.vector([0, 0, 77], unit='m')
-    wf[Position[snx.NXsource, SampleRun]] = sc.vector([0, 0, 0], unit='m')
+    wf[Position[snx.NXsample, SampleRun]] = Position[snx.NXsample, SampleRun](sc.vector([0, 0, 77], unit='m'))
+    wf[Position[snx.NXsource, SampleRun]] = Position[snx.NXsample, SampleRun](sc.vector([0, 0, 0], unit='m'))
 
     return wf
 
diff --git a/pixi.lock b/pixi.lock
index e5ff84db..9c947735 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -10,28 +10,105 @@ environments:
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-49.0-unix_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-core-2.40.3-h0630a04_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.2.25-hbd8a1cb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-he90730b_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.16.2-h24cb091_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/epoxy-1.5.10-hb03c661_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.17.1-h27c8c51_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-hc364b38_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.16-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.44.5-h2b0a6b4_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/glib-tools-2.86.4-hf516916_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.14-hecca717_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphviz-14.1.2-h8b86629_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gtk3-3.24.51-ha5ea40c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-13.1.1-h6083320_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/hicolor-icon-theme-0.17-ha770c72_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-78.2-h33c6efd_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.3-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.22.2-ha1258a1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_101.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/lerc-4.1.0-hdb68285_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcups-2.3.3-h7a8fb5f_6.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.25-h17f619e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libdrm-2.4.125-hb03c661_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20250104-pl5321h7949ede_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libegl-1.7.0-ha4b6fd6_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libegl-devel-1.7.0-ha4b6fd6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.4-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libfreetype-2.14.2-ha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libfreetype6-2.14.2-h73754d4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_18.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-15.2.0-h69a702a_18.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgd-2.3.3-h5fbf134_12.conda
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