diff --git a/data/example_forcing_aorc_csv/cat-12.csv b/data/example_forcing_aorc_csv/cat-12.csv
new file mode 100644
index 000000000..c4048fd81
--- /dev/null
+++ b/data/example_forcing_aorc_csv/cat-12.csv
@@ -0,0 +1,745 @@
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diff --git a/data/example_forcing_aorc_csv/cat-13.csv b/data/example_forcing_aorc_csv/cat-13.csv
new file mode 100644
index 000000000..2a1dc33f9
--- /dev/null
+++ b/data/example_forcing_aorc_csv/cat-13.csv
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diff --git a/python/lib/client/dmod/client/_version.py b/python/lib/client/dmod/client/_version.py
index 2b8877c50..ef7eb44d9 100644
--- a/python/lib/client/dmod/client/_version.py
+++ b/python/lib/client/dmod/client/_version.py
@@ -1 +1 @@
-__version__ = '0.5.0'
+__version__ = '0.6.0'
diff --git a/python/lib/client/setup.py b/python/lib/client/setup.py
index 280337ecc..b4ca71ea7 100644
--- a/python/lib/client/setup.py
+++ b/python/lib/client/setup.py
@@ -22,7 +22,7 @@
     license='',
     include_package_data=True,
     #install_requires=['websockets', 'jsonschema'],vi
-    install_requires=['dmod-core>=0.11.0', 'websockets>=8.1', 'pydantic>=1.10.8,~=1.10', 'dmod-communication>=0.17.0',
+    install_requires=['dmod-core>=0.15.0', 'websockets>=8.1', 'pydantic>=1.10.8,~=1.10', 'dmod-communication>=0.17.0',
                       'dmod-externalrequests>=0.6.0'],
     packages=find_namespace_packages(include=['dmod.*'], exclude=['dmod.test'])
 )
diff --git a/python/lib/core/dmod/core/_version.py b/python/lib/core/dmod/core/_version.py
index a842d05a7..6fccdee46 100644
--- a/python/lib/core/dmod/core/_version.py
+++ b/python/lib/core/dmod/core/_version.py
@@ -1 +1 @@
-__version__ = '0.15.0'
+__version__ = '0.15.1'
diff --git a/python/lib/core/dmod/core/dataset.py b/python/lib/core/dmod/core/dataset.py
index e97222f16..72f428d65 100644
--- a/python/lib/core/dmod/core/dataset.py
+++ b/python/lib/core/dmod/core/dataset.py
@@ -8,12 +8,13 @@
 
 from .serializable import Serializable, ResultIndicator
 from .enum import PydanticEnum
-from typing import Any, Callable, ClassVar, Dict, FrozenSet, List, Optional, Set, Tuple, Type, Union
+from pathlib import Path
+from typing import Any, Callable, ClassVar, Dict, FrozenSet, List, Optional, Set, Tuple, Type, TypeVar, Union
 from pydantic import Field, validator, PrivateAttr
 from pydantic.fields import ModelField
 from uuid import UUID, uuid4
 
-from .common.reader import Reader
+from .common.reader import Reader, ReadSeeker
 
 
 class DatasetType(PydanticEnum):
@@ -486,6 +487,334 @@ def unlink_to_dataset(self, dataset: Dataset) -> bool:
         return dataset.manager is not None and dataset.manager.unlink_user(user=self, dataset=dataset)
 
 
+DataItem = TypeVar('DataItem', bound=Union[bytes, ReadSeeker, Path])
+
+
+class AbstractDomainDetector(ABC):
+    """ Abstraction for something that will automatically detect a :class:`DataDomain` for some data. """
+
+    @abstractmethod
+    def detect(self, **kwargs) -> DataDomain:
+        """
+        Detect and return the data domain.
+
+        Parameters
+        ----------
+        kwargs
+            Optional kwargs applicable to the subtype, which may enhance or add to the domain detection and generation
+            capabilities, but which should not be required to produce a valid domain.
+
+        Returns
+        -------
+        DataDomain
+            The detected domain.
+
+        Raises
+        ------
+        DmodRuntimeError
+            If it was not possible to properly detect the domain.
+        """
+        pass
+
+
+class ItemDataDomainDetectorRegistry:
+    """ A singleton registry in which to track the subtypes of :class`ItemDataDomainDetector`. """
+
+    _instance = None
+
+    @classmethod
+    def get_instance(cls) -> ItemDataDomainDetectorRegistry:
+        """ Get the singleton registry instance. """
+        if cls._instance is None:
+            cls._instance = ItemDataDomainDetectorRegistry()
+        return cls._instance
+
+    def __init__(self):
+        if self._instance is not None:
+            raise RuntimeError(f"Attempting to create second {self.__class__.__name__} instance!")
+        self._detectors: Dict[str, Type[ItemDataDomainDetector]] = dict()
+        """ All registered subclasses, keyed by name. """
+        self._formats_to_detectors: Dict[DataFormat, Set[str]] = {f: set() for f in DataFormat}
+        """ 
+        Collection of :class:`DataFormat` enum values mapped to sets containing the names of the registered subclasses
+        that are associated with that particular format.
+        """
+
+    def is_registered(self, entry: Union[str, Type[ItemDataDomainDetector]]) -> bool:
+        """
+        Whether this is a registered subclass or the registered name of one.
+
+        Parameters
+        ----------
+        entry: Union[str, Type[ItemDataDomainDetector]]
+            The potential registration name or subclass type.
+
+        Returns
+        -------
+        bool
+            Whether this is a registered subclass or the registered name of one.
+        """
+        return (entry if isinstance(entry, str) else entry.get_registration_name()) in self._detectors
+
+    def get_for_format(self, data_format: DataFormat) -> List[Type[ItemDataDomainDetector]]:
+        """
+        Get a list (sorted by registration name) of the detector subclasses associated with the given format.
+
+        Parameters
+        ----------
+        data_format: DataFormat
+            The data format of interest.
+
+        Returns
+        -------
+        List[Type[ItemDataDomainDetector]]
+            The sorted detector subclasses associated with the given format.
+        """
+        return [self._detectors[name] for name in sorted(self._formats_to_detectors[data_format])]
+
+    def get_for_name(self, name: str) -> Type[ItemDataDomainDetector]:
+        """
+        Get the registered subclass for the given registration name.
+
+        Parameters
+        ----------
+        name: str
+            The subclass registration name.
+
+        Returns
+        -------
+        Type[ItemDataDomainDetector]
+            The registered subclass for the given registration name.
+
+        Raises
+        ------
+        KeyError
+            Raised if this is not a valid, recognized registration name.
+        """
+        return self._detectors[name]
+
+    def register(self, subclass: Type[ItemDataDomainDetector]):
+        """
+        Register the given subclass of :class:`ItemDataDomainDetector`.
+
+        Parameters
+        ----------
+        subclass: Type[ItemDataDomainDetector]
+            A subclass of :class:`ItemDataDomainDetector`.
+
+        Notes
+        -----
+        If an already-registered subclass is passed in another call to this method, nothing will happen.  The instance's
+        state will not change, nor will an error be thrown, and the method will quietly return.
+
+        Raises
+        ------
+        DmodRuntimeError
+            If the registration name is already in use for a different subclass.
+        """
+        name = subclass.get_registration_name()
+        if name not in self._detectors:
+            self._detectors[name] = subclass
+            if subclass.get_data_format() is not None:
+                self._formats_to_detectors[subclass.get_data_format()].add(name)
+        elif self._detectors[name] != subclass:
+            raise DmodRuntimeError(f"{self.__class__.__name__} failed to register subclass '{subclass.__name__}' with "
+                                   f"registration name '{name}' that is already in use")
+
+    def unregister(self, subclass: Type[ItemDataDomainDetector]):
+        """
+        Unregister the given subclass of :class:`ItemDataDomainDetector`.
+
+        Parameters
+        ----------
+        subclass
+
+        Raises
+        -------
+        DmodRuntimeError
+            If the given subclass was not already registered.
+        """
+        name = subclass.get_registration_name()
+        if name not in self._detectors:
+            raise DmodRuntimeError(f"{self.__class__.__name__} can't unregister unknown name '{name}'")
+        subclass = self._detectors.pop(name)
+        self._formats_to_detectors[subclass.get_data_format()].remove(name)
+
+
+class ItemDataDomainDetector(AbstractDomainDetector, ABC):
+    """
+    Type that can examine a data item and detect its individual :class:`DataDomain`.
+
+    Abstraction for detecting the of a single data item.  Here, a data item specifically means either :class:`bytes`
+    object with raw data, a :class:`ReadSeeker` object that can read data multiple times, or a :class:`Path` object
+    pointing to a file (not a directory).
+
+    This class provides two class functions important for use with the :class:`ItemDataDomainDetectorRegistry` singleton
+    object: :method:`get_data_format` and :method:`get_registration_name`.  Subclasses must be implemented to set
+    backing class variables if they want to change the default behavior.
+
+    The :method:`get_data_format` class method helps the registry (and other users) identify the :class:`DataFormat` for
+    which a subclass can determine domains.  It is optional, though, and the default is ``None``.
+
+    The :method:`get_registration_name` method provides a unique registration name, primarily intended for use with the
+    registry.  If the backing class attribute is not explicitly set, it will default to the name of the subclass.
+
+    Note that subtypes must explicitly be registered with the :class:`ItemDataDomainDetectorRegistry` singleton.
+    """
+
+    _data_format: Optional[DataFormat] = None
+    """ The associated :class:`DataFormat` of this subclass. """
+    _registration_name: Optional[str] = None
+    """ The registration name identifier for this subclass; it will be replaced with class name if ``None``. """
+
+    @classmethod
+    def get_data_format(cls) -> Optional[DataFormat]:
+        """
+        Get the associated data format for this subclass of :class:`ItemDataDomainDetector`, if it has one.
+
+        Returns
+        -------
+        Optional[DataFormat]
+            The associated :class:`DataFormat` of this subclass, if it has one; otherwise ``None``.
+        """
+        return cls._data_format
+
+    @classmethod
+    def get_registration_name(cls) -> str:
+        """
+        Get the registration name for this subclass.
+
+        If the backing private class attribute is set to ``None``, this method will return the subclass's ``__name__``.
+
+        Returns
+        -------
+        str
+            The registration name for this subclass.
+        """
+        return cls._registration_name if cls._registration_name else cls.__name__
+
+    def __init__(self, item: DataItem, item_name: Optional[str] = None, decode_format: str = 'utf-8', *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self._item: DataItem = item
+        """ The data item for which to detect a domain. """
+        is_item_file = isinstance(self._item, Path)
+        self._item_name = self._item.name if is_item_file else item_name
+        """ Name for the item; in some situations, contains important constraint metadata (e.g. catchment name). """
+        self._decode_format = decode_format
+        """ A decoder format sometimes used when reading data item in order to get metadata. """
+        if is_item_file and self._item.is_dir():
+            raise ValueError(f"{self.__class__.__name__} can't initialize with a directory path as its data item")
+
+
+class UniversalItemDomainDetector(ItemDataDomainDetector):
+    """
+    General type of detector that works with all supported formats by trying all registered, format-specific subtypes.
+    """
+
+    def detect(self, **kwargs) -> DataDomain:
+        """
+        Detect and return the data domain.
+
+        Detect a domain by calling the analogous method of an instance of some or all registered subclasses of
+        :class:`ItemDataDomainDetector`.  Selection of the right subclass to use for this is based on brute-force
+        trials - i.e., a subclass is selected, an instance is created, the ``detect`` method is called, and we assess
+        what happens - along with an early exit mechanism for explicit format suggestions.
+
+        Subclasses are tried in groups according to their associated :class:`DataFormat`.  The order of groups may be
+        controlled by providing one or more format "suggestions", which will be tried first in the order provided. Also,
+        one or more excluded formats can be optionally provided. Iteration order of subclasses within a group is based
+        on registration name by default - i.e., the value from :method:`ItemDataDomainDetector.get_registration_name`
+        for each subclass - but a sorting key function can be provided to control this also.
+
+        If/when a subclass instance's ``detect`` call returns a domain, no other subclasses for that format group are
+        tried, but this function only returns that domain value immediately if the associated format was a provided
+        suggestion.  Otherwise, iteration continues to the next group.  This is important, because if more than one
+        class can detect a domain, there is an implicit ambiguity in the domain, and a :class:`DmodRuntimeError` is
+        raised.
+
+        Parameters
+        ----------
+        kwargs
+            Optional kwargs applicable to the subtype, which may enhance or add to the domain detection and generation
+            capabilities, but which should not be required to produce a valid domain.
+
+        Keyword Args
+        ------------
+        excluded_formats: Union[DataFormat, Set[DataFormat]]
+            Optional individual or set of :class:`DataFormat` to be excluded from testing; a :class:`ValueError` is
+            raised if a format appears in both this and ``suggested_formats``.
+        suggested_formats: Union[DataFormat, List[DataFormat]]
+            An optional :class:`DataFormat` or list of :class:`DataFormat` values to try first, with any successes
+            being immediately returned; a :class:`ValueError` is raised if a format appears more than once across both
+            this and ``excluded_formats``.
+        sort_key:
+            Optional function of one argument (the subclass type) used to extract a comparison key from each registered
+            subclasses when attempting to determine the order in which to try them (within the context of those
+            associated with the particular data format being tried); if not provided, the order is based on each
+            subclass's registration ``name``.
+
+        Returns
+        -------
+        DataDomain
+            The detected domain.
+
+        Raises
+        ------
+        ValueError
+            Raised if a :class:`DataFormat` appears multiple times across both ``excluded_formats`` and
+            ``suggested_formats``; i.e., if any data format value is duplicated in the hypothetical list produced by
+            ``list(kwargs.get('excluded_formats', [])) + list(kwargs.get('suggested_formats', []))``.
+        DmodRuntimeError
+            If it was not possible to properly detect the domain.
+        """
+        def try_detection(d_format: DataFormat) -> Optional[DataDomain]:
+            subclasses = ItemDataDomainDetectorRegistry.get_instance().get_for_format(d_format)
+            if 'sort_key' in kwargs:
+                subclasses = sorted(subclasses, key=kwargs['sort_key'])
+            for subclass_type in subclasses:
+                try:
+                    return subclass_type(item=self._item, item_name=self._item_name).detect()
+                except:
+                    pass
+            return None
+
+        excluded = kwargs.get('excluded_formats', set())
+        if isinstance(excluded, DataFormat):
+            excluded = {excluded}
+        suggested = kwargs.get('suggested_formats', list())
+        if isinstance(suggested, DataFormat):
+            suggested = [suggested]
+        if not excluded.isdisjoint(suggested):
+            raise ValueError(f"Can't include data format in both exclusions and suggestions for domain detection.")
+        if len(suggested) != len(set(suggested)):
+            raise ValueError(f"Can't include data format multiple times in ordered suggestions for domain detection.")
+
+        remaining_formats = {df for df in DataFormat if df not in excluded}
+
+        # Try suggestions first, returning immediately if any are successful
+        for data_format in suggested:
+            remaining_formats.remove(data_format)
+            result = try_detection(d_format=data_format)
+            if result is not None:
+                return result
+
+        # Now we get to others
+        main_trials = (try_detection(d_format=df) for df in remaining_formats)
+        main_results = [t for t in main_trials if t is not None]
+        if len(main_results) == 0:
+            raise DmodRuntimeError("No domain could be detected for item.")
+        elif len(main_results) == 1:
+            return main_results[0]
+        # Multiple results mean there's a problem (also, they can't be equal because they will have different formats)
+        else:
+            raise DmodRuntimeError(f"Multiple conflicting domain detected for item in the following formats: "
+                                   f"{','.join([d.data_format.name for d in main_results])}")
+
+
+# Register the universal tracker type
+ItemDataDomainDetectorRegistry.get_instance().register(UniversalItemDomainDetector)
+
+
 class DatasetManager(ABC):
     """
     Abstract representation of manager of ::class:`Dataset` instances.
diff --git a/python/lib/modeldata/dmod/modeldata/_version.py b/python/lib/modeldata/dmod/modeldata/_version.py
index 9d1bb721b..f323a57be 100644
--- a/python/lib/modeldata/dmod/modeldata/_version.py
+++ b/python/lib/modeldata/dmod/modeldata/_version.py
@@ -1 +1 @@
-__version__ = '0.10.0'
+__version__ = '0.11.0'
diff --git a/python/lib/modeldata/dmod/modeldata/data/item_domain_detector.py b/python/lib/modeldata/dmod/modeldata/data/item_domain_detector.py
new file mode 100644
index 000000000..2dc770164
--- /dev/null
+++ b/python/lib/modeldata/dmod/modeldata/data/item_domain_detector.py
@@ -0,0 +1,211 @@
+from dmod.core.meta_data import DataDomain, DataFormat, DiscreteRestriction, StandardDatasetIndex, TimeRange
+from dmod.core.common.reader import ReadSeeker
+from dmod.core.exception import DmodRuntimeError
+from dmod.core.dataset import ItemDataDomainDetector
+from pandas import read_csv as pandas_read_csv
+
+from typing import Optional
+from io import StringIO
+import re
+
+from ..hydrofabric.geopackage_hydrofabric import GeoPackageHydrofabric
+
+# Try to do this if ngen-config package is available
+try:
+    import ngen.config.realization
+    __NGEN_CONFIG_INSTALLED = True
+except ModuleNotFoundError:
+    __NGEN_CONFIG_INSTALLED = False
+
+
+class AorcCsvFileDomainDetector(ItemDataDomainDetector):
+    """
+    Subclass for detecting domains of NextGen regridded per-catchment AORC forcing CSV files.
+
+    Instances must be explicitly or implicitly provided an item name along with the item.  Receiving a :class:`Path`
+    object implicitly satisfies this, with the object's ``name`` property used.  This is required because the applicable
+    catchment for data is not within the data itself; the convention is to include the catchment id as part of the file
+    name.
+    """
+
+    _csv_header: str = "Time,RAINRATE,Q2D,T2D,U2D,V2D,LWDOWN,SWDOWN,PSFC"
+    _data_format = DataFormat.AORC_CSV
+    _datetime_format: str = "%Y-%m-%d %H:%M:%S"
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        if self._item_name is None:
+            raise DmodRuntimeError(f"{self.__class__.__name__} must be passed an item name on init unless item is file")
+
+        self._num_time_steps = None
+
+    def _get_catchment_id(self) -> str:
+        matches = re.match('^.*(cat)[_-](\d+)\D.*$', self._item_name)
+        if matches:
+            return f"{matches.group(1)}-{matches.group(2)}"
+        else:
+            raise DmodRuntimeError(f"{self.__class__.__name__} couldn't parse cat id from name '{self._item_name}'")
+
+    def _get_cat_restriction(self) -> DiscreteRestriction:
+        """ Get :class:`DiscreteRestriction` defining applicable catchments (i.e., catchment) for the domain. """
+        return DiscreteRestriction(variable=StandardDatasetIndex.CATCHMENT_ID, values=[self._get_catchment_id()])
+
+    def detect(self, **kwargs) -> DataDomain:
+        """
+        Detect and return the data domain.
+
+        Parameters
+        ----------
+        kwargs
+            Optional kwargs applicable to the subtype, which may enhance or add to the domain detection and generation
+            capabilities, but which should not be required to produce a valid domain.
+
+        Returns
+        -------
+        DataDomain
+            The detected domain.
+
+        Raises
+        ------
+        DmodRuntimeError
+            If it was not possible to properly detect the domain.
+        """
+
+        # Do this early to fail here rather than try to load the dataframe
+        cat_restriction = self._get_cat_restriction()
+        data = StringIO(self._item.decode(self._decode_format)) if isinstance(self._item, bytes) else self._item
+        dt_index = self.get_data_format().indices_to_fields()[StandardDatasetIndex.TIME]
+        # TODO: (later) perhaps do a little more about the header checking
+        df = pandas_read_csv(data, parse_dates=[0])
+        self._num_time_steps = df.shape[0]
+        date_range = TimeRange(begin=df.iloc[0][dt_index].to_pydatetime(), end=df.iloc[-1][dt_index].to_pydatetime())
+        return DataDomain(data_format=self.get_data_format(), continuous_restrictions=[date_range],
+                          discrete_restrictions=[cat_restriction])
+
+
+# TODO: track and record hydrofabric ids and file names of what's out there so that we recognize known versions/regions
+
+
+# TODO: might need to expand things in the future ... there are other geopackage formats (e.g., older NextGen
+#  hydrofabric versions that used "id" instead of "divide_id") and maybe we need to account for that in detectors (and
+#  in formats)
+class GeoPackageHydrofabricDomainDetector(ItemDataDomainDetector):
+
+    _data_format = DataFormat.NGEN_GEOPACKAGE_HYDROFABRIC_V2
+
+    def _is_region_string_for_conus(self, region_str: Optional[str]) -> bool:
+        """
+        Whether this is a region string signifies CONUS.
+
+        Parameters
+        ----------
+        region_str: Optional[str]
+            A region string, or ``None``.
+
+        Returns
+        -------
+        bool
+            Whether there was a region string provided that indicates CONUS.
+        """
+        if not isinstance(region_str, str):
+            return False
+        else:
+            return region_str.strip().lower() == 'conus'
+
+    def detect(self, **kwargs) -> DataDomain:
+        """
+        Detect and return the data domain.
+
+        Parameters
+        ----------
+        kwargs
+            Optional kwargs applicable to the subtype, which may enhance or add to the domain detection and generation
+            capabilities, but which should not be required to produce a valid domain.
+
+        Keyword Args
+        ------------
+        version: str
+            A version string for a constraint using the ``HYDROFABRIC_VERSION`` index.
+        region: str
+            A region string for a constraint using the ``HYDROFABRIC_REGION`` index; if provided, it will be converted
+            to lower case and have any non-alphanumeric characters removed before use.
+
+        Returns
+        -------
+        DataDomain
+            The detected domain.
+
+        Raises
+        ------
+        DmodRuntimeError
+            If it was not possible to properly detect the domain.
+        """
+        # TODO: (later) probably isn't necessary to treat separately, but don't have a good way to test yet
+        if isinstance(self._item, ReadSeeker):
+            gpkg_data = self._item.read()
+            self._item.seek(0)
+        else:
+            gpkg_data = self._item
+
+        if isinstance(kwargs.get('region'), str):
+            raw_str = kwargs['region'].strip().lower()
+            if raw_str == 'conus':
+                vpu = None
+                conus = True
+            else:
+                conus = False
+                pattern = re.compile('(vpu)([-_]?)(\d+)')
+                matches = pattern.match(raw_str)
+                vpu = int(matches.groups()[-1]) if matches else None
+        else:
+            vpu = None
+            conus = False
+
+        try:
+            hydrofabric = GeoPackageHydrofabric.from_file(geopackage_file=gpkg_data, vpu=vpu, is_conus=conus)
+            d_restricts = [
+                # Define range of catchment ids for catchment ids
+                DiscreteRestriction(variable=StandardDatasetIndex.CATCHMENT_ID,
+                                    values=list(hydrofabric.get_all_catchment_ids())),
+                # Define hydrofabric id restriction for domain
+                DiscreteRestriction(variable=StandardDatasetIndex.HYDROFABRIC_ID, values=[hydrofabric.uid])]
+            # If included, also append region restriction
+            # TODO: (later) implement this part later
+            # TODO: (later) consider whether conus should literally also include all the individual VPUs, plus "CONUS"
+            if hydrofabric.is_conus:
+                d_restricts.append(DiscreteRestriction(variable=StandardDatasetIndex.HYDROFABRIC_REGION,
+                                                       values=["CONUS"]))
+            elif vpu is not None:
+                d_restricts.append(DiscreteRestriction(variable=StandardDatasetIndex.HYDROFABRIC_REGION,
+                                                       values=[f"VPU{vpu:02d}"]))
+            if 'version' in kwargs:
+                d_restricts.append(DiscreteRestriction(variable=StandardDatasetIndex.HYDROFABRIC_VERSION,
+                                                       values=[kwargs['version']]))
+
+            return DataDomain(data_format=DataFormat.NGEN_GEOPACKAGE_HYDROFABRIC_V2, discrete_restrictions=d_restricts)
+        except Exception as e:
+            raise DmodRuntimeError(f"{self.__class__.__name__} encountered {e.__class__.__name__} attempting to detect "
+                                   f"domain for data item: {e!s}")
+
+
+if __NGEN_CONFIG_INSTALLED:
+    import json
+
+    class RealizationConfigDomainDetector(ItemDataDomainDetector):
+
+        _data_format = DataFormat.NGEN_REALIZATION_CONFIG
+
+        def detect(self, **kwargs) -> DataDomain:
+            try:
+                real_obj = ngen.config.realization.NgenRealization(**json.load(self._item))
+            except Exception as e:
+                raise DmodRuntimeError(f"{self.__class__.__name__} failed detect due to {e.__class__.__name__}: {e!s}")
+
+            # When there is a global config, make catchment restriction values empty list to indicate "all"
+            has_global_config = real_obj.global_config is not None and real_obj.global_config.formulations
+            cat_restrict = DiscreteRestriction(variable=StandardDatasetIndex.CATCHMENT_ID,
+                                               values=[] if has_global_config else sorted(real_obj.catchments.keys()))
+            time_range = TimeRange(begin=real_obj.time.start_time, end=real_obj.time.end_time)
+            # An individual file won't have a data id (i.e., data_id only applies to a Dataset or collection)
+            return DataDomain(data_format=self.get_data_format(), continuous_restrictions=[time_range],
+                              discrete_restrictions=[cat_restrict])
diff --git a/python/lib/modeldata/dmod/test/__init__.py b/python/lib/modeldata/dmod/test/__init__.py
index e69de29bb..0b3cf7158 100644
--- a/python/lib/modeldata/dmod/test/__init__.py
+++ b/python/lib/modeldata/dmod/test/__init__.py
@@ -0,0 +1,32 @@
+import git
+
+from pathlib import Path
+from typing import Optional
+
+
+def find_git_root_dir(path: Optional[Path] = None) -> Path:
+    """
+    Given a path (with ``None`` implying the current directory) assumed to be in a Git repo, find repo's root.
+
+    Parameters
+    ----------
+    path : Path
+        A file path within the project directory structure, or ``None`` to imply use the current directory.
+
+    Returns
+    -------
+    Path
+        The root directory for the Git repo containing the given/current path.
+
+    Raises
+    -------
+    InvalidGitRepositoryError : If the given path is not within a Git repo.
+    NoSuchPathError : If the given path is not valid.
+    BadObject : If the given revision of the obtained ::class:`git.Repo` could not be found.
+    ValueError : If the rev of the obtained ::class:`git.Repo` couldn't be parsed
+    IndexError: If an invalid reflog index is specified.
+    """
+    if path is None:
+        path = Path('.')
+    git_repo = git.Repo(path, search_parent_directories=True)
+    return Path(git_repo.git.rev_parse("--show-toplevel"))
\ No newline at end of file
diff --git a/python/lib/modeldata/dmod/test/test_aorc_csv_file_domain_detector.py b/python/lib/modeldata/dmod/test/test_aorc_csv_file_domain_detector.py
new file mode 100644
index 000000000..9881fc140
--- /dev/null
+++ b/python/lib/modeldata/dmod/test/test_aorc_csv_file_domain_detector.py
@@ -0,0 +1,73 @@
+import unittest
+from datetime import datetime
+
+from dmod.core.meta_data import DataFormat, StandardDatasetIndex
+from dmod.core.dataset import ItemDataDomainDetectorRegistry
+from ..modeldata.data.item_domain_detector import AorcCsvFileDomainDetector
+from . import find_git_root_dir
+
+
+class TestAorcCsvFileDomainDetector(unittest.TestCase):
+
+    def setUp(self):
+        self.detector_subclass = AorcCsvFileDomainDetector
+        self.expected_data_format = DataFormat.AORC_CSV
+        self.registry = ItemDataDomainDetectorRegistry.get_instance()
+        self.registry.register(self.detector_subclass)
+
+        # Setup example 0
+        self.example_data = {0: find_git_root_dir().joinpath("data/example_forcing_aorc_csv/cat-12.csv")}
+        self.example_begins = {0: datetime.strptime("2016-01-01 00:00:00", self.detector_subclass._datetime_format)}
+        self.example_ends = {0: datetime.strptime("2016-01-31 23:00:00", self.detector_subclass._datetime_format)}
+        self.example_cat_id = {0: "cat-12"}
+
+    def test_get_data_format_0_a(self):
+        """ Test that we get the correct data format for this subclass type. """
+        self.assertEqual(self.expected_data_format, self.detector_subclass.get_data_format())
+
+    def test_registration_0_a(self):
+        """ Test that registration added this type to superclass's registered collection. """
+        self.assertTrue(self.registry.is_registered(self.detector_subclass))
+
+    def test_detect_0_a(self):
+        """ Test that detect returns a domain with the right data format. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect()
+        self.assertEqual(self.expected_data_format, domain.data_format)
+
+    def test_detect_0_b(self):
+        """ Test that detect returns a domain with the right begin time. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect()
+        time_range = domain.continuous_restrictions[StandardDatasetIndex.TIME]
+        self.assertEqual(self.example_begins[ex_idx], time_range.begin)
+
+    def test_detect_0_c(self):
+        """ Test that detect returns a domain with the right end time. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect()
+        time_range = domain.continuous_restrictions[StandardDatasetIndex.TIME]
+        self.assertEqual(self.example_ends[ex_idx], time_range.end)
+
+    def test_detect_0_d(self):
+        """ Test that detect returns a domain with a single catchment id restriction. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect()
+        self.assertEqual(1, len(domain.discrete_restrictions[StandardDatasetIndex.CATCHMENT_ID].values))
+
+    def test_detect_0_e(self):
+        """ Test that detect returns a domain with the right catchment id restriction. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect()
+        self.assertEqual(self.example_cat_id[ex_idx],
+                         domain.discrete_restrictions[StandardDatasetIndex.CATCHMENT_ID].values[0])
diff --git a/python/lib/modeldata/dmod/test/test_geopackage_hydrofabric_domain_detector.py b/python/lib/modeldata/dmod/test/test_geopackage_hydrofabric_domain_detector.py
new file mode 100644
index 000000000..c026ce502
--- /dev/null
+++ b/python/lib/modeldata/dmod/test/test_geopackage_hydrofabric_domain_detector.py
@@ -0,0 +1,94 @@
+import unittest
+
+from dmod.core.meta_data import DataFormat, StandardDatasetIndex
+from dmod.core.dataset import ItemDataDomainDetectorRegistry
+from ..modeldata.data.item_domain_detector import GeoPackageHydrofabricDomainDetector
+
+from . import find_git_root_dir
+
+
+class TestGeoPackageHydrofabricDomainDetector(unittest.TestCase):
+
+    def setUp(self):
+        self.detector_subclass = GeoPackageHydrofabricDomainDetector
+        self.expected_data_format = DataFormat.NGEN_GEOPACKAGE_HYDROFABRIC_V2
+        self.registry = ItemDataDomainDetectorRegistry.get_instance()
+        self.registry.register(self.detector_subclass)
+        self.hyfab_ver = "2.0.1"
+
+        # Setup example 0
+        self.example_data = {0: find_git_root_dir().joinpath("data/example_hydrofabric_2/hydrofabric.gpkg")}
+        self.example_vpu = {0: "vpu-9"}
+        self.example_restriction_vpu = {0: "VPU09"}
+        self.example_cat_ids = {0: sorted(['cat-8', 'cat-5', 'cat-9', 'cat-6', 'cat-7', 'cat-10', 'cat-11'])}
+
+    def test_get_data_format_0_a(self):
+        """ Test that we get the correct data format for this subclass type. """
+        self.assertEqual(self.detector_subclass.get_data_format(), self.expected_data_format)
+
+    def test_registration_0_a(self):
+        """ Test that registration added this type to superclass's registered collection. """
+        self.assertTrue(self.registry.is_registered(self.detector_subclass))
+
+    def test_detect_0_a(self):
+        """ Test that detect returns a domain with the right data format. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect(version=self.hyfab_ver, region=self.example_vpu[ex_idx])
+        self.assertEqual(self.expected_data_format, domain.data_format)
+
+    def test_detect_0_b(self):
+        """ Test that detect returns a domain with the right catchments. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect(version=self.hyfab_ver, region=self.example_vpu[ex_idx])
+        self.assertEqual(self.example_cat_ids[ex_idx],
+                         sorted(domain.discrete_restrictions[StandardDatasetIndex.CATCHMENT_ID].values))
+
+    def test_detect_0_c(self):
+        """ Test that domain from detect includes version when provided. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect(version=self.hyfab_ver, region=self.example_vpu[ex_idx])
+        version_restrict = domain.discrete_restrictions[StandardDatasetIndex.HYDROFABRIC_VERSION]
+        self.assertEqual(1, len(version_restrict.values))
+        self.assertEqual(self.hyfab_ver, version_restrict.values[0])
+
+    def test_detect_0_d(self):
+        """ Test that domain from detect doesn't include version when not provided. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect(region=self.example_vpu[ex_idx])
+        self.assertNotIn(StandardDatasetIndex.HYDROFABRIC_VERSION, domain.discrete_restrictions.keys())
+
+    def test_detect_0_e(self):
+        """ Test that domain from detect includes region when provided. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect(version=self.hyfab_ver, region=self.example_vpu[ex_idx])
+        region_restrict = domain.discrete_restrictions[StandardDatasetIndex.HYDROFABRIC_REGION]
+        self.assertEqual(1, len(region_restrict.values))
+        self.assertEqual(self.example_restriction_vpu[ex_idx], region_restrict.values[0])
+
+    def test_detect_0_f(self):
+        """ Test that domain from detect includes region when provided. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect(version=self.hyfab_ver, region=self.example_restriction_vpu[ex_idx])
+        region_restrict = domain.discrete_restrictions[StandardDatasetIndex.HYDROFABRIC_REGION]
+        self.assertEqual(1, len(region_restrict.values))
+        self.assertEqual(self.example_restriction_vpu[ex_idx], region_restrict.values[0])
+
+    def test_detect_0_g(self):
+        """ Test that domain from detect doesn't include region when not provided. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect(version=self.hyfab_ver)
+        self.assertNotIn(StandardDatasetIndex.HYDROFABRIC_REGION, domain.discrete_restrictions.keys())
diff --git a/python/lib/modeldata/dmod/test/test_universal_item_domain_detector.py b/python/lib/modeldata/dmod/test/test_universal_item_domain_detector.py
new file mode 100644
index 000000000..7b7e2118d
--- /dev/null
+++ b/python/lib/modeldata/dmod/test/test_universal_item_domain_detector.py
@@ -0,0 +1,106 @@
+import unittest
+from datetime import datetime
+
+from dmod.core.meta_data import DataFormat, StandardDatasetIndex
+from dmod.core.dataset import ItemDataDomainDetectorRegistry, UniversalItemDomainDetector
+
+from ..modeldata.data.item_domain_detector import AorcCsvFileDomainDetector, GeoPackageHydrofabricDomainDetector
+from . import find_git_root_dir
+
+
+class TestUniversalItemDomainDetector(unittest.TestCase):
+
+    def setUp(self):
+        self.registry = ItemDataDomainDetectorRegistry.get_instance()
+        self.registry.register(AorcCsvFileDomainDetector)
+        self.registry.register(GeoPackageHydrofabricDomainDetector)
+        self.detector_subclass = UniversalItemDomainDetector
+
+        # Setup example 0
+        self.expected_data_format = {0: DataFormat.AORC_CSV}
+        self.example_data = {0: find_git_root_dir().joinpath("data/example_forcing_aorc_csv/cat-12.csv")}
+        self.example_begins = {0: datetime.strptime("2016-01-01 00:00:00", AorcCsvFileDomainDetector._datetime_format)}
+        self.example_ends = {0: datetime.strptime("2016-01-31 23:00:00", AorcCsvFileDomainDetector._datetime_format)}
+        self.example_cat_ids = {0: "cat-12"}
+
+        # Setup example 1
+        self.expected_data_format[1] = DataFormat.NGEN_GEOPACKAGE_HYDROFABRIC_V2
+        self.example_data[1] = find_git_root_dir().joinpath("data/example_hydrofabric_2/hydrofabric.gpkg")
+        self.example_cat_ids[1] = sorted(['cat-8', 'cat-5', 'cat-9', 'cat-6', 'cat-7', 'cat-10', 'cat-11'])
+
+    def test_get_data_format_0_a(self):
+        """ Test that we get ``None`` for the data format for this subclass type. """
+        self.assertIsNone(self.detector_subclass.get_data_format())
+
+    def test_registration_0_a(self):
+        """ Test registration adds this type to superclass's registered collection. """
+        self.assertTrue(self.registry.is_registered(self.detector_subclass))
+
+    def test_registration_0_b(self):
+        """ Test registration adds first imported type to superclass's registered collection. """
+        self.assertTrue(self.registry.is_registered(AorcCsvFileDomainDetector))
+
+    def test_registration_1_b(self):
+        """ Test registration adds second imported type to superclass's registered collection. """
+        self.assertTrue(self.registry.is_registered(GeoPackageHydrofabricDomainDetector))
+
+    def test_detect_0_a(self):
+        """ Test that detect returns a domain with the right data format. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect()
+        self.assertEqual(self.expected_data_format[ex_idx], domain.data_format)
+
+    def test_detect_0_b(self):
+        """ Test that detect returns a domain with the right begin time. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect()
+        time_range = domain.continuous_restrictions[StandardDatasetIndex.TIME]
+        self.assertEqual(self.example_begins[ex_idx], time_range.begin)
+
+    def test_detect_0_c(self):
+        """ Test that detect returns a domain with the right end time. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect()
+        time_range = domain.continuous_restrictions[StandardDatasetIndex.TIME]
+        self.assertEqual(self.example_ends[ex_idx], time_range.end)
+
+    def test_detect_0_d(self):
+        """ Test that detect returns a domain with a single catchment id restriction. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect()
+        self.assertEqual(1, len(domain.discrete_restrictions[StandardDatasetIndex.CATCHMENT_ID].values))
+
+    def test_detect_0_e(self):
+        """ Test that detect returns a domain with the right catchment id restriction. """
+        ex_idx = 0
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect()
+        self.assertEqual(self.example_cat_ids[ex_idx],
+                         domain.discrete_restrictions[StandardDatasetIndex.CATCHMENT_ID].values[0])
+
+    def test_detect_1_a(self):
+        """ Test that detect returns a domain with the right data format. """
+        ex_idx = 1
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect()
+        self.assertEqual(self.expected_data_format[ex_idx], domain.data_format)
+
+    def test_detect_1_b(self):
+        """ Test that detect returns a domain with the right catchments. """
+        ex_idx = 1
+
+        detector = self.detector_subclass(item=self.example_data[ex_idx])
+        domain = detector.detect()
+        self.assertEqual(self.example_cat_ids[ex_idx],
+                         sorted(domain.discrete_restrictions[StandardDatasetIndex.CATCHMENT_ID].values))
+
diff --git a/python/lib/modeldata/setup.py b/python/lib/modeldata/setup.py
index d551006d1..8d6893285 100644
--- a/python/lib/modeldata/setup.py
+++ b/python/lib/modeldata/setup.py
@@ -25,7 +25,7 @@
         "pandas",
         "geopandas",
         "dmod-communication>=0.4.2",
-        "dmod-core>=0.13.1",
+        "dmod-core>=0.15.1",
         "minio",
         "aiohttp~=3.8",
         "shapely>=2.0.0",