diff --git a/python/lsst/obs/base/_instrument.py b/python/lsst/obs/base/_instrument.py
index 9f4f4f7d..782d4ee3 100644
--- a/python/lsst/obs/base/_instrument.py
+++ b/python/lsst/obs/base/_instrument.py
@@ -493,7 +493,7 @@ class attribute for curated calibrations corresponding to the
         # by putting them in the ``runs`` set that was passed in.
         camera = self.getCamera()
         filters = set(self.filterDefinitions.physical_to_band.keys())
-        calib_dimensions: list[Any]
+        calib_dimensions: list[str]
         if datasetType.name in StandardCuratedCalibrationDatasetTypes:
             calib_dimensions = list(StandardCuratedCalibrationDatasetTypes[datasetType.name]["dimensions"])
         else:
@@ -503,7 +503,7 @@ class attribute for curated calibrations corresponding to the
                 "Unknown curated calibration type %s.  Attempting to use supplied definition.",
                 datasetType.name,
             )
-            calib_dimensions = list(datasetType.dimensions)
+            calib_dimensions = list(datasetType.dimensions.names)
 
         calibsDict, calib_type = read_all(calibPath, camera, calib_class, calib_dimensions, filters)
 
@@ -667,7 +667,7 @@ def loadCamera(butler: Butler, dataId: DataId, *, collections: Any = None) -> tu
     # to ensure it only happens once.
     # This will also catch problems with the data ID not having keys we need.
     try:
-        dataId = butler.registry.expandDataId(dataId, graph=butler.dimensions["exposure"].graph)
+        dataId = butler.registry.expandDataId(dataId, dimensions=butler.dimensions["exposure"].minimal_group)
     except DataIdError as exc:
         raise LookupError(str(exc)) from exc
     try:
diff --git a/python/lsst/obs/base/defineVisits.py b/python/lsst/obs/base/defineVisits.py
index e98b495b..17bc75e2 100644
--- a/python/lsst/obs/base/defineVisits.py
+++ b/python/lsst/obs/base/defineVisits.py
@@ -42,15 +42,7 @@
 
 import lsst.geom
 from lsst.afw.cameraGeom import FOCAL_PLANE, PIXELS
-from lsst.daf.butler import (
-    Butler,
-    DataCoordinate,
-    DataId,
-    DimensionGraph,
-    DimensionRecord,
-    Progress,
-    Timespan,
-)
+from lsst.daf.butler import Butler, DataCoordinate, DataId, DimensionRecord, Progress, Timespan
 from lsst.geom import Box2D
 from lsst.pex.config import Config, Field, makeRegistry, registerConfigurable
 from lsst.pipe.base import Instrument, Task
@@ -664,9 +656,9 @@ def run(
         """
         # Normalize, expand, and deduplicate data IDs.
         self.log.info("Preprocessing data IDs.")
-        dimensions = DimensionGraph(self.universe, names=["exposure"])
+        dimensions = self.universe.conform(["exposure"])
         data_id_set: set[DataCoordinate] = {
-            self.butler.registry.expandDataId(d, graph=dimensions) for d in dataIds
+            self.butler.registry.expandDataId(d, dimensions=dimensions) for d in dataIds
         }
         if not data_id_set:
             raise RuntimeError("No exposures given.")
diff --git a/python/lsst/obs/base/formatters/fitsExposure.py b/python/lsst/obs/base/formatters/fitsExposure.py
index 58ada4f9..6e91e176 100644
--- a/python/lsst/obs/base/formatters/fitsExposure.py
+++ b/python/lsst/obs/base/formatters/fitsExposure.py
@@ -300,7 +300,7 @@ def getImageCompressionSettings(self, recipeName):
         recipe = self.writeRecipes[recipeName]
 
         # Set the seed based on dataId
-        seed = hash(tuple(self.dataId.items())) % 2**31
+        seed = hash(tuple(self.dataId.required.items())) % 2**31
         for plane in ("image", "mask", "variance"):
             if plane in recipe and "scaling" in recipe[plane]:
                 scaling = recipe[plane]["scaling"]
@@ -599,20 +599,20 @@ def _fixFilterLabels(self, file_filter_label, should_be_standardized=None):
         missing = []
         band = None
         physical_filter = None
-        if "band" in self.dataId.graph.dimensions.names:
+        if "band" in self.dataId.dimensions.names:
             band = self.dataId.get("band")
             # band isn't in the data ID; is that just because this data ID
             # hasn't been filled in with everything the Registry knows, or
             # because this dataset is never associated with a band?
-            if band is None and not self.dataId.hasFull() and "band" in self.dataId.graph.implied.names:
+            if band is None and not self.dataId.hasFull() and "band" in self.dataId.dimensions.implied:
                 missing.append("band")
-        if "physical_filter" in self.dataId.graph.dimensions.names:
+        if "physical_filter" in self.dataId.dimensions.names:
             physical_filter = self.dataId.get("physical_filter")
             # Same check as above for band, but for physical_filter.
             if (
                 physical_filter is None
                 and not self.dataId.hasFull()
-                and "physical_filter" in self.dataId.graph.implied.names
+                and "physical_filter" in self.dataId.dimensions.implied
             ):
                 missing.append("physical_filter")
         if should_be_standardized is None:
diff --git a/python/lsst/obs/base/ingest.py b/python/lsst/obs/base/ingest.py
index 17ee3fc2..f93cc561 100644
--- a/python/lsst/obs/base/ingest.py
+++ b/python/lsst/obs/base/ingest.py
@@ -887,7 +887,8 @@ def expandDataIds(self, data: RawExposureData) -> RawExposureData:
         for file in data.files:
             for dataset in file.datasets:
                 dataset.dataId = self.butler.registry.expandDataId(
-                    dataset.dataId, records=data.dataId.records
+                    dataset.dataId,
+                    records={k: data.dataId.records[k] for k in data.dataId.dimensions.elements},
                 )
         return data