diff --git a/dfh/dspace.py b/dfh/dspace.py
new file mode 100644
index 0000000..ff5c683
--- /dev/null
+++ b/dfh/dspace.py
@@ -0,0 +1,49 @@
+import logging
+import os
+
+from dspace_rest_client.client import DSpaceClient
+
+logger = logging.getLogger(__name__)
+
+
+def get_dspace_client(
+    *,
+    api_base: str | None = None,
+    username: str | None = None,
+    password: str | None = None,
+    auth_on_init: bool = True,
+) -> DSpaceClient:
+    """Instantiate a DSpace API client."""
+    client = DSpaceClient(
+        api_endpoint=(api_base or os.environ["DSPACE_API_BASE"]).rstrip("/"),
+        username=username or os.environ["DSPACE_USERNAME"],
+        password=password or os.environ["DSPACE_PASSWORD"],
+        fake_user_agent=True,
+    )
+    if auth_on_init:  # noqa: SIM102
+        if not client.authenticate():
+            raise RuntimeError("Could not authenticate DSpaceClient")
+
+    return client
+
+
+def get_presigned_url_for_bitstream(
+    dspace_client: DSpaceClient,
+    bitstream_uuid: str,
+) -> str:
+    """Generate a pre-signed S3 S3 download URL for a bitstream UUID.
+
+    The URL returned is valid for a limited amount of time and a single request.
+    """
+    response = dspace_client.api_get(
+        f"{dspace_client.API_ENDPOINT}/core/bitstreams/{bitstream_uuid}/signedurl"
+    )
+    if response.status_code != 200:  # noqa: PLR2004
+        raise ValueError(
+            f"Could not get presigned URL for bitstream '{bitstream_uuid}': "
+            f"{response.status_code} {response.text}"
+        )
+    signed_url = response.json().get("presignedUrl")
+    if not signed_url:
+        raise ValueError(f"Could not find presigned URL for bitstream '{bitstream_uuid}'")
+    return signed_url
diff --git a/dfh/exceptions.py b/dfh/exceptions.py
new file mode 100644
index 0000000..b9b04a6
--- /dev/null
+++ b/dfh/exceptions.py
@@ -0,0 +1,28 @@
+class SourceRecordParseError(ValueError):
+    """Custom exception to raise when source METS XML cannot be parsed."""
+
+
+class MissingTextBitstreamError(Exception):
+    """Custom exception to raise when fulltext bitstream not found in DSpace METS.
+
+    A typical 'good' METS file will contain a 'fileGrp' section that looks roughly like
+    the following, allowing us to extract a bitstream UUID for the 'TEXT' bitstream via
+    an embedded URL:
+
+    ...
+    <fileGrp USE="TEXT">
+     <file ADMID="FT_1721.1_32272_4"
+        CHECKSUM="76a261fadb68d3f9d36b3ed4cb26562b" CHECKSUMTYPE="MD5"
+        GROUPID="GROUP_BITSTREAM_1721.1_32272_4"
+        ID="BITSTREAM_TEXT_1721.1_32272_4" MIMETYPE="text/plain" SEQ="4"
+        SIZE="233039">
+       <FLocat LOCTYPE="URL"
+        xlink:href="https://.../bitstreams/401e42c9-6ec1-45d4-889b-7689bd5be8c7/download"
+        xlink:type="simple"
+       />
+     </file>
+    </fileGrp>
+    ...
+
+    If we cannot find this bitstream UUID for any reason, this exception is raised.
+    """
diff --git a/dfh/timdex_dataset.py b/dfh/timdex_dataset.py
new file mode 100644
index 0000000..9fa61a2
--- /dev/null
+++ b/dfh/timdex_dataset.py
@@ -0,0 +1,215 @@
+"""TIMDEX DSpace thesis dataset helpers."""
+
+import json
+import logging
+import os
+import re
+import xml.etree.ElementTree as ET
+from collections.abc import Iterator
+from typing import ClassVar, TypedDict
+
+from timdex_dataset_api import TIMDEXDataset
+
+from dfh.exceptions import MissingTextBitstreamError, SourceRecordParseError
+
+logger = logging.getLogger(__name__)
+
+
+class TextBitstreamInfo(TypedDict):
+    uuid: str
+    href: str
+    size: int | None
+    checksum: str | None
+    checksum_type: str | None
+    mimetype: str | None
+
+
+class TIMDEXThesesRecords:
+    """Class to retrieve TIMDEX dataset records of DSpace Theses.
+
+    Theses are determined by looking for "Thesis" in transformed_record.content_type.
+    """
+
+    NS: ClassVar[dict[str, str]] = {
+        "mets": "http://www.loc.gov/METS/",
+        "xlink": "http://www.w3.org/1999/xlink",
+        "mods": "http://www.loc.gov/mods/v3",
+    }
+    UUID_PATTERN: ClassVar[re.Pattern[str]] = re.compile(
+        r"[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-"
+        r"[0-9a-fA-F]{4}-[0-9a-fA-F]{12}"
+    )
+
+    def __init__(
+        self,
+        dataset_location: str | None = None,
+        run_id: str | None = None,
+        limit: int | None = None,
+    ) -> None:
+        self.run_id = run_id
+        self.limit = limit
+
+        self.timdex_dataset = self._init_timdex_dataset(dataset_location)
+
+    def _init_timdex_dataset(self, dataset_location: str | None) -> TIMDEXDataset:
+        """Init TIMDEXDataset and compose to self.
+
+        If dataset_location is not passed, look to env var TIMDEX_DATASET_LOCATION.
+        """
+        dataset_location = dataset_location or os.getenv("TIMDEX_DATASET_LOCATION")
+        if not dataset_location:
+            raise ValueError(
+                "'dataset_location' must be passed on init "
+                "or env var 'TIMDEX_DATASET_LOCATION' set"
+            )
+        return TIMDEXDataset(dataset_location)
+
+    def record_and_bitstream_metadata_iter(
+        self,
+    ) -> Iterator[dict]:
+        """Yield TIMDEX DSpace thesis records with their fulltext bitstream info."""
+        record_count = 0
+        error_count = 0
+        for record in self.theses_records():
+            record_count += 1
+            source_record = record["source_record"]
+
+            # extract fulltext bitstream information from original DSpace METS XML
+            try:
+                text_bitstream = self.get_text_bitstream_info_from_source_record(
+                    source_record
+                )
+            except (MissingTextBitstreamError, SourceRecordParseError) as exc:
+                error_count += 1
+                logger.debug(
+                    "Error parsing fulltext bitstream information for "
+                    f"'{record['timdex_record_id']}': {exc}"
+                )
+                continue
+
+            # if bitstream information found, yield metadata package about record +
+            # fulltext bitstream
+            yield {
+                "timdex_record_id": record["timdex_record_id"],
+                "run_id": record["run_id"],
+                "run_record_offset": record["run_record_offset"],
+                "run_date": record["run_date"],
+                "run_timestamp": record["run_timestamp"],
+                "fulltext_bitstream": text_bitstream,
+            }
+
+        logger.debug(
+            f"TIMDEX dataset DSpace theses: processed={record_count} "
+            f"yielded={record_count - error_count} "
+            f"fulltext_bitstream_errors={error_count}"
+        )
+
+    def theses_records(self) -> Iterator[dict]:
+        """Yield current DSpace Theses records."""
+        return filter(self.is_thesis_record, self.dspace_records())
+
+    def dspace_records(self) -> Iterator[dict]:
+        """Yield current DSpace records.
+
+        Optionally filter to a run id and/or limit number of records yielded.
+        """
+        args = {
+            "run_id": self.run_id,
+            "limit": self.limit,
+        }
+        records = self.timdex_dataset.records.read_dicts_iter(
+            table="current_records",
+            source="dspace",
+            action="index",
+            **{key: value for key, value in args.items() if value is not None},
+        )
+        record_count = 0
+        for record in records:
+            record_count += 1
+            record["transformed_record"] = json.loads(record["transformed_record"])
+            yield record
+        logger.debug(f"TIMDEX dataset DSpace records: retrieved={record_count}")
+
+    @classmethod
+    def is_thesis_record(cls, record: dict) -> bool:
+        """Determines if a TIMDEX dataset record is a DSpace Thesis.
+
+        This is determined by looking at the transformed record and looking for 'Thesis'
+        in the content_type field.
+        """
+        content_type = record["transformed_record"].get("content_type", [])
+        return isinstance(content_type, list) and "Thesis" in content_type
+
+    def get_text_bitstream_info_from_source_record(
+        self, source_record: bytes
+    ) -> TextBitstreamInfo:
+        """Extract TEXT bitstream information from DSpace source METS XML."""
+        mets = self.get_mets_root(source_record)
+        return self.get_text_bitstream_info_from_mets(mets)
+
+    def get_mets_root(self, source_record: bytes) -> ET.Element:
+        """Parse METS XML."""
+        try:
+            root = ET.fromstring(source_record)  # noqa: S314
+        except ET.ParseError as exc:
+            msg = f"Could not parse source_record XML: {exc}"
+            raise SourceRecordParseError(msg) from exc
+
+        if root.tag == "{http://www.loc.gov/METS/}mets":
+            return root
+        mets = root.find(".//mets:mets", self.NS)
+        if mets is None:
+            msg = "Could not find METS element in source_record"
+            raise SourceRecordParseError(msg)
+        return mets
+
+    def get_text_bitstream_info_from_mets(self, mets: ET.Element) -> TextBitstreamInfo:
+        """Extract info about 'TEXT' bitstream in METS XML.
+
+        If a 'TEXT' bitstream cannot be found and/or a DSpace bitstream UUID cannot be
+        found for any reason, raise a custom MissingTextBitstreamError exception.
+        """
+        file_grp = mets.find('.//mets:fileGrp[@USE="TEXT"]', self.NS)
+        if file_grp is None:
+            raise MissingTextBitstreamError("Could not find 'TEXT' fileGrp in METS")
+
+        file_el = file_grp.find("mets:file", self.NS)
+        if file_el is None:
+            raise MissingTextBitstreamError("Could not find file in METS 'TEXT' fileGrp")
+
+        flocat = file_el.find("mets:FLocat", self.NS)
+        if flocat is None:
+            raise MissingTextBitstreamError("Could not find FLocat in METS 'TEXT' file")
+
+        href = flocat.attrib.get(
+            "{http://www.w3.org/1999/xlink}href"
+        ) or flocat.attrib.get("href")
+        if not href:
+            raise MissingTextBitstreamError("Could not find href for METS 'TEXT' file")
+
+        bitstream_uuid = self.bitstream_uuid_from_href(href)
+        return {
+            "uuid": bitstream_uuid,
+            "href": href,
+            "size": self.int_or_none(file_el.attrib.get("SIZE")),
+            "checksum": file_el.attrib.get("CHECKSUM"),
+            "checksum_type": file_el.attrib.get("CHECKSUMTYPE"),
+            "mimetype": file_el.attrib.get("MIMETYPE"),
+        }
+
+    @classmethod
+    def bitstream_uuid_from_href(cls, href: str) -> str:
+        """Extract bitstream UUID from bitstream URL.
+
+        Example URL:
+        https://.../bitstreams/401e42c9-6ec1-45d4-889b-7689bd5be8c7/download
+        """
+        match = cls.UUID_PATTERN.search(href)
+        if match is None:
+            msg = f"Could not find bitstream UUID in href: {href}"
+            raise MissingTextBitstreamError(msg)
+        return match.group(0)
+
+    @staticmethod
+    def int_or_none(value: str | None) -> int | None:
+        return int(value) if value is not None else None
diff --git a/pyproject.toml b/pyproject.toml
index f9b46c6..a1d656a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -9,6 +9,8 @@ requires-python = ">=3.13"
 
 dependencies = [
     "click>=8.2.1",
+    "dspace-rest-client>=0.1.17",
+    "requests>=2.33.1",
     "sentry-sdk>=2.34.1",
     "timdex-dataset-api",
 ]
@@ -16,6 +18,7 @@ dependencies = [
 [dependency-groups]
 dev = [
     "coveralls>=4.0.1",
+    "ipython>=9.13.0",
     "mypy>=1.17.1",
     "pip-audit>=2.9.0",
     "pre-commit>=4.3.0",
@@ -26,7 +29,17 @@ dev = [
 [tool.mypy]
 disallow_untyped_calls = true
 disallow_untyped_defs = true
-exclude = ["tests/"]
+exclude = ["tests/", "output/"]
+
+[[tool.mypy.overrides]]
+module = [
+    "dspace_rest_client",
+    "dspace_rest_client.*",
+    "requests",
+    "timdex_dataset_api",
+    "timdex_dataset_api.*",
+]
+ignore_missing_imports = true
 
 [tool.pytest.ini_options]
 log_level = "INFO"
@@ -34,6 +47,7 @@ log_level = "INFO"
 [tool.ruff]
 target-version = "py313"
 line-length = 90
+exclude = ["output"]
 
 # enumerate all fixed violations
 show-fixes = true
@@ -41,20 +55,26 @@ show-fixes = true
 [tool.ruff.lint]
 select = ["ALL", "PT"]
 ignore = [
-    "COM812",
-    "D107", 
-    "N812", 
-    "PTH", 
     "C90",
+    "COM812",
     "D100",
-    "D101", 
+    "D101",
     "D102",
     "D103",
-    "D104", 
+    "D104",
+    "D107",
+    "EM101",
+    "EM102",
+    "G004",
+    "N812",
     "PLR0912",
-    "PLR0913", 
+    "PLR0913",
     "PLR0915",
+    "PTH",
     "S321",
+    "TD002",
+    "TD003",
+    "TRY003"
 ]
 
 # allow autofix behavior for specified rules
diff --git a/tests/conftest.py b/tests/conftest.py
index 42c8c64..4ae83c0 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,6 +1,11 @@
+import json
+from pathlib import Path
+
 import pytest
 from click.testing import CliRunner
 
+from dfh.timdex_dataset import TIMDEXThesesRecords
+
 
 @pytest.fixture(autouse=True)
 def _test_env(monkeypatch):
@@ -11,3 +16,79 @@ def _test_env(monkeypatch):
 @pytest.fixture
 def runner():
     return CliRunner()
+
+
+@pytest.fixture
+def dspace_mets_fixture_dir():
+    return Path(__file__).parent / "fixtures" / "dspace" / "mets"
+
+
+@pytest.fixture
+def timdex_fixture_dir():
+    return Path(__file__).parent / "fixtures" / "timdex"
+
+
+@pytest.fixture
+def dspace_mets_source_record(dspace_mets_fixture_dir):
+    with open(dspace_mets_fixture_dir / "1721.1-139336.xml", "rb") as file:
+        return file.read()
+
+
+@pytest.fixture
+def dspace_mets_missing_text_filegrp_source_record(dspace_mets_fixture_dir):
+    with open(
+        dspace_mets_fixture_dir / "1721.1-139336-missing-text-filegrp.xml",
+        "rb",
+    ) as file:
+        return file.read()
+
+
+@pytest.fixture
+def dspace_mets_text_filegrp_missing_file_source_record(dspace_mets_fixture_dir):
+    with open(
+        dspace_mets_fixture_dir / "1721.1-139336-text-filegrp-missing-file.xml",
+        "rb",
+    ) as file:
+        return file.read()
+
+
+@pytest.fixture
+def dspace_mets_text_file_missing_flocat_source_record(dspace_mets_fixture_dir):
+    with open(
+        dspace_mets_fixture_dir / "1721.1-139336-text-file-missing-flocat.xml",
+        "rb",
+    ) as file:
+        return file.read()
+
+
+@pytest.fixture
+def dspace_mets_text_flocat_missing_href_source_record(dspace_mets_fixture_dir):
+    with open(
+        dspace_mets_fixture_dir / "1721.1-139336-text-flocat-missing-href.xml",
+        "rb",
+    ) as file:
+        return file.read()
+
+
+@pytest.fixture
+def timdex_dspace_thesis_record(timdex_fixture_dir):
+    with open(timdex_fixture_dir / "dspace-1721.1-139336.json", "rb") as file:
+        return json.loads(file.read())
+
+
+@pytest.fixture
+def dspace_mets_text_bitstream_info():
+    bitstream_uuid = "07b3dc83-dc11-4c6d-9ba5-771f0bb141d8"
+    return {
+        "uuid": bitstream_uuid,
+        "href": f"https://dspace.mit.edu/bitstreams/{bitstream_uuid}/download",
+        "size": 110_423,
+        "checksum": "c6716e0e5ba7b572948dac054633a665",
+        "checksum_type": "MD5",
+        "mimetype": "text/plain",
+    }
+
+
+@pytest.fixture
+def timdex_theses_records(tmp_path):
+    return TIMDEXThesesRecords(dataset_location=str(tmp_path))
diff --git a/tests/fixtures/dspace/mets/1721.1-139336-missing-text-filegrp.xml b/tests/fixtures/dspace/mets/1721.1-139336-missing-text-filegrp.xml
new file mode 100644
index 0000000..9edbddd
--- /dev/null
+++ b/tests/fixtures/dspace/mets/1721.1-139336-missing-text-filegrp.xml
@@ -0,0 +1,215 @@
+<?xml version="1.0" encoding="utf-8"?>
+<record xmlns="http://www.openarchives.org/OAI/2.0/"
+        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
+    <header>
+        <identifier>oai:dspace.mit.edu:1721.1/139336</identifier>
+        <datestamp>2026-02-19T02:13:49Z</datestamp>
+        <setSpec>com_1721.1_7582</setSpec>
+        <setSpec>com_1721.1_7581</setSpec>
+        <setSpec>col_1721.1_131023</setSpec>
+    </header>
+    <metadata>
+        <mets ID="DSpace_ITEM_1721.1-139336"
+              OBJID="hdl:1721.1/139336"
+              PROFILE="DSpace METS SIP Profile 1.0"
+              TYPE="DSpace ITEM" xmlns="http://www.loc.gov/METS/"
+              xmlns:doc="http://www.lyncode.com/xoai"
+              xmlns:xlink="http://www.w3.org/1999/xlink"
+              xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+              xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd">
+            <metsHdr CREATEDATE="2026-04-09T17:21:46Z">
+                <agent ROLE="CUSTODIAN" TYPE="ORGANIZATION">
+                    <name>DSpace at My University</name>
+                </agent>
+            </metsHdr>
+            <dmdSec ID="DMD_1721.1_139336">
+                <mdWrap MDTYPE="MODS">
+                    <xmlData xmlns:mods="http://www.loc.gov/mods/v3"
+                             xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
+                        <mods:mods
+                                xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">advisor</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Amarasinghe, Saman P.</mods:namePart>
+                            </mods:name>
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">author</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Ramirez, Gabriel L.</mods:namePart>
+                            </mods:name>
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">department</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Massachusetts Institute of Technology.
+                                    Department of Electrical Engineering and Computer
+                                    Science
+                                </mods:namePart>
+                            </mods:name>
+                            <mods:extension>
+                                <mods:dateAccessioned encoding="iso8601">
+                                    2022-01-14T15:04:50Z
+                                </mods:dateAccessioned>
+                            </mods:extension>
+                            <mods:extension>
+                                <mods:dateAvailable encoding="iso8601">
+                                    2022-01-14T15:04:50Z
+                                </mods:dateAvailable>
+                            </mods:extension>
+                            <mods:originInfo>
+                                <mods:dateIssued encoding="iso8601">2021-06
+                                </mods:dateIssued>
+                            </mods:originInfo>
+                            <mods:identifier type="uri">
+                                https://hdl.handle.net/1721.1/139336
+                            </mods:identifier>
+                            <mods:abstract>Static languages like C++ provide deep compiler
+                                support for optimization and analysis, enabling high
+                                performance at the cost of burdening users with a
+                                low-level interface. DSLs, or domain-specific languages,
+                                have traditionally complemented static languages by adding
+                                custom idioms and optimizations in their particular areas.
+                                Unfortunately, however, static languages are increasingly
+                                sidelined in many domains by dynamic languages such as
+                                Python and Ruby, which, despite their flexibility, suffer
+                                from lower performance. In this thesis, we propose Codon,
+                                a framework for implementing high-performance DSLs based
+                                on Python. Whereas previously achieving high-performance
+                                in dynamic languages has been difficult, often requiring
+                                separate compiled libraries, we provide a robust base for
+                                analysis and optimization on a purely Pythonic base,
+                                bridging the gap between dynamic and static languages. By
+                                combining a purpose-built type checker and novel
+                                intermediate representation, Codon enables developers to
+                                create intrinsically performant, modular DSLs with minimal
+                                implementation effort. We validate this approach by
+                                showcasing several Codon DSLs, all of which achieve
+                                sizeable speed-ups over Python and sometimes even C++. We
+                                further show that Codon can be easily used to implement a
+                                variety of analyses and passes. Thus, Codon enables a new
+                                class of DSLs that maintain dynamism and expressiveness,
+                                without compromising performance.
+                            </mods:abstract>
+                            <mods:language>
+                                <mods:languageTerm authority="rfc3066"/>
+                            </mods:language>
+                            <mods:accessCondition type="useAndReproduction">In Copyright -
+                                Educational Use Permitted Copyright MIT
+                            </mods:accessCondition>
+                            <mods:titleInfo>
+                                <mods:title>Codon: A Framework for Pythonic
+                                    Domain-Specific Languages
+                                </mods:title>
+                            </mods:titleInfo>
+                            <mods:genre>Thesis</mods:genre>
+                        </mods:mods>
+                    </xmlData>
+                </mdWrap>
+            </dmdSec>
+            <amdSec ID="FO_1721.1_139336_1">
+                <techMD ID="TECH_O_1721.1_139336_1">
+                    <mdWrap MDTYPE="PREMIS">
+                        <xmlData xmlns:premis="http://www.loc.gov/standards/premis"
+                                 xsi:schemaLocation="http://www.loc.gov/standards/premis http://www.loc.gov/standards/premis/PREMIS-v1-0.xsd">
+                            <premis:premis>
+                                <premis:object>
+                                    <premis:objectIdentifier>
+                                        <premis:objectIdentifierType>URL
+                                        </premis:objectIdentifierType>
+                                        <premis:objectIdentifierValue>
+                                            https://dspace.mit.edu/bitstreams/bd70af03-74f2-404f-9a33-ff0f70a98f00/download
+                                        </premis:objectIdentifierValue>
+                                    </premis:objectIdentifier>
+                                    <premis:objectCategory>File</premis:objectCategory>
+                                    <premis:objectCharacteristics>
+                                        <premis:fixity>
+                                            <premis:messageDigestAlgorithm>MD5
+                                            </premis:messageDigestAlgorithm>
+                                            <premis:messageDigest>
+                                                4906a8bec67791859ff7a3deab2edaee
+                                            </premis:messageDigest>
+                                        </premis:fixity>
+                                        <premis:size>825497</premis:size>
+                                        <premis:format>
+                                            <premis:formatDesignation>
+                                                <premis:formatName>application/pdf
+                                                </premis:formatName>
+                                            </premis:formatDesignation>
+                                        </premis:format>
+                                    </premis:objectCharacteristics>
+                                    <premis:originalName>
+                                        Ramirez-glram-meng-eecs-2021-thesis.pdf
+                                    </premis:originalName>
+                                </premis:object>
+                            </premis:premis>
+                        </xmlData>
+                    </mdWrap>
+                </techMD>
+            </amdSec>
+            <amdSec ID="FT_1721.1_139336_2">
+                <techMD ID="TECH_T_1721.1_139336_2">
+                    <mdWrap MDTYPE="PREMIS">
+                        <xmlData xmlns:premis="http://www.loc.gov/standards/premis"
+                                 xsi:schemaLocation="http://www.loc.gov/standards/premis http://www.loc.gov/standards/premis/PREMIS-v1-0.xsd">
+                            <premis:premis>
+                                <premis:object>
+                                    <premis:objectIdentifier>
+                                        <premis:objectIdentifierType>URL
+                                        </premis:objectIdentifierType>
+                                        <premis:objectIdentifierValue>
+                                            https://dspace.mit.edu/bitstreams/07b3dc83-dc11-4c6d-9ba5-771f0bb141d8/download
+                                        </premis:objectIdentifierValue>
+                                    </premis:objectIdentifier>
+                                    <premis:objectCategory>File</premis:objectCategory>
+                                    <premis:objectCharacteristics>
+                                        <premis:fixity>
+                                            <premis:messageDigestAlgorithm>MD5
+                                            </premis:messageDigestAlgorithm>
+                                            <premis:messageDigest>
+                                                c6716e0e5ba7b572948dac054633a665
+                                            </premis:messageDigest>
+                                        </premis:fixity>
+                                        <premis:size>110423</premis:size>
+                                        <premis:format>
+                                            <premis:formatDesignation>
+                                                <premis:formatName>text/plain
+                                                </premis:formatName>
+                                            </premis:formatDesignation>
+                                        </premis:format>
+                                    </premis:objectCharacteristics>
+                                    <premis:originalName>
+                                        Ramirez-glram-meng-eecs-2021-thesis.pdf.txt
+                                    </premis:originalName>
+                                </premis:object>
+                            </premis:premis>
+                        </xmlData>
+                    </mdWrap>
+                </techMD>
+            </amdSec>
+            <fileSec>
+                <fileGrp USE="ORIGINAL">
+                    <file ADMID="FO_1721.1_139336_1"
+                          CHECKSUM="4906a8bec67791859ff7a3deab2edaee" CHECKSUMTYPE="MD5"
+                          GROUPID="GROUP_BITSTREAM_1721.1_139336_1"
+                          ID="BITSTREAM_ORIGINAL_1721.1_139336_1"
+                          MIMETYPE="application/pdf" SEQ="1" SIZE="825497">
+                        <FLocat LOCTYPE="URL"
+                                xlink:href="https://dspace.mit.edu/bitstreams/bd70af03-74f2-404f-9a33-ff0f70a98f00/download"
+                                xlink:type="simple"/>
+                    </file>
+                </fileGrp>
+                <!-- TEXT fileGrp intentionally removed for parser error fixture -->
+            </fileSec>
+            <structMap LABEL="DSpace Object" TYPE="LOGICAL">
+                <div ADMID="DMD_1721.1_139336" TYPE="DSpace Object Contents">
+                    <div TYPE="DSpace BITSTREAM">
+                        <fptr FILEID="BITSTREAM_ORIGINAL_1721.1_139336_1"/>
+                    </div>
+                </div>
+            </structMap>
+        </mets>
+    </metadata>
+</record>
\ No newline at end of file
diff --git a/tests/fixtures/dspace/mets/1721.1-139336-text-file-missing-flocat.xml b/tests/fixtures/dspace/mets/1721.1-139336-text-file-missing-flocat.xml
new file mode 100644
index 0000000..dd8b518
--- /dev/null
+++ b/tests/fixtures/dspace/mets/1721.1-139336-text-file-missing-flocat.xml
@@ -0,0 +1,223 @@
+<?xml version="1.0" encoding="utf-8"?>
+<record xmlns="http://www.openarchives.org/OAI/2.0/"
+        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
+    <header>
+        <identifier>oai:dspace.mit.edu:1721.1/139336</identifier>
+        <datestamp>2026-02-19T02:13:49Z</datestamp>
+        <setSpec>com_1721.1_7582</setSpec>
+        <setSpec>com_1721.1_7581</setSpec>
+        <setSpec>col_1721.1_131023</setSpec>
+    </header>
+    <metadata>
+        <mets ID="DSpace_ITEM_1721.1-139336"
+              OBJID="hdl:1721.1/139336"
+              PROFILE="DSpace METS SIP Profile 1.0"
+              TYPE="DSpace ITEM" xmlns="http://www.loc.gov/METS/"
+              xmlns:doc="http://www.lyncode.com/xoai"
+              xmlns:xlink="http://www.w3.org/1999/xlink"
+              xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+              xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd">
+            <metsHdr CREATEDATE="2026-04-09T17:21:46Z">
+                <agent ROLE="CUSTODIAN" TYPE="ORGANIZATION">
+                    <name>DSpace at My University</name>
+                </agent>
+            </metsHdr>
+            <dmdSec ID="DMD_1721.1_139336">
+                <mdWrap MDTYPE="MODS">
+                    <xmlData xmlns:mods="http://www.loc.gov/mods/v3"
+                             xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
+                        <mods:mods
+                                xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">advisor</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Amarasinghe, Saman P.</mods:namePart>
+                            </mods:name>
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">author</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Ramirez, Gabriel L.</mods:namePart>
+                            </mods:name>
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">department</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Massachusetts Institute of Technology.
+                                    Department of Electrical Engineering and Computer
+                                    Science
+                                </mods:namePart>
+                            </mods:name>
+                            <mods:extension>
+                                <mods:dateAccessioned encoding="iso8601">
+                                    2022-01-14T15:04:50Z
+                                </mods:dateAccessioned>
+                            </mods:extension>
+                            <mods:extension>
+                                <mods:dateAvailable encoding="iso8601">
+                                    2022-01-14T15:04:50Z
+                                </mods:dateAvailable>
+                            </mods:extension>
+                            <mods:originInfo>
+                                <mods:dateIssued encoding="iso8601">2021-06
+                                </mods:dateIssued>
+                            </mods:originInfo>
+                            <mods:identifier type="uri">
+                                https://hdl.handle.net/1721.1/139336
+                            </mods:identifier>
+                            <mods:abstract>Static languages like C++ provide deep compiler
+                                support for optimization and analysis, enabling high
+                                performance at the cost of burdening users with a
+                                low-level interface. DSLs, or domain-specific languages,
+                                have traditionally complemented static languages by adding
+                                custom idioms and optimizations in their particular areas.
+                                Unfortunately, however, static languages are increasingly
+                                sidelined in many domains by dynamic languages such as
+                                Python and Ruby, which, despite their flexibility, suffer
+                                from lower performance. In this thesis, we propose Codon,
+                                a framework for implementing high-performance DSLs based
+                                on Python. Whereas previously achieving high-performance
+                                in dynamic languages has been difficult, often requiring
+                                separate compiled libraries, we provide a robust base for
+                                analysis and optimization on a purely Pythonic base,
+                                bridging the gap between dynamic and static languages. By
+                                combining a purpose-built type checker and novel
+                                intermediate representation, Codon enables developers to
+                                create intrinsically performant, modular DSLs with minimal
+                                implementation effort. We validate this approach by
+                                showcasing several Codon DSLs, all of which achieve
+                                sizeable speed-ups over Python and sometimes even C++. We
+                                further show that Codon can be easily used to implement a
+                                variety of analyses and passes. Thus, Codon enables a new
+                                class of DSLs that maintain dynamism and expressiveness,
+                                without compromising performance.
+                            </mods:abstract>
+                            <mods:language>
+                                <mods:languageTerm authority="rfc3066"/>
+                            </mods:language>
+                            <mods:accessCondition type="useAndReproduction">In Copyright -
+                                Educational Use Permitted Copyright MIT
+                            </mods:accessCondition>
+                            <mods:titleInfo>
+                                <mods:title>Codon: A Framework for Pythonic
+                                    Domain-Specific Languages
+                                </mods:title>
+                            </mods:titleInfo>
+                            <mods:genre>Thesis</mods:genre>
+                        </mods:mods>
+                    </xmlData>
+                </mdWrap>
+            </dmdSec>
+            <amdSec ID="FO_1721.1_139336_1">
+                <techMD ID="TECH_O_1721.1_139336_1">
+                    <mdWrap MDTYPE="PREMIS">
+                        <xmlData xmlns:premis="http://www.loc.gov/standards/premis"
+                                 xsi:schemaLocation="http://www.loc.gov/standards/premis http://www.loc.gov/standards/premis/PREMIS-v1-0.xsd">
+                            <premis:premis>
+                                <premis:object>
+                                    <premis:objectIdentifier>
+                                        <premis:objectIdentifierType>URL
+                                        </premis:objectIdentifierType>
+                                        <premis:objectIdentifierValue>
+                                            https://dspace.mit.edu/bitstreams/bd70af03-74f2-404f-9a33-ff0f70a98f00/download
+                                        </premis:objectIdentifierValue>
+                                    </premis:objectIdentifier>
+                                    <premis:objectCategory>File</premis:objectCategory>
+                                    <premis:objectCharacteristics>
+                                        <premis:fixity>
+                                            <premis:messageDigestAlgorithm>MD5
+                                            </premis:messageDigestAlgorithm>
+                                            <premis:messageDigest>
+                                                4906a8bec67791859ff7a3deab2edaee
+                                            </premis:messageDigest>
+                                        </premis:fixity>
+                                        <premis:size>825497</premis:size>
+                                        <premis:format>
+                                            <premis:formatDesignation>
+                                                <premis:formatName>application/pdf
+                                                </premis:formatName>
+                                            </premis:formatDesignation>
+                                        </premis:format>
+                                    </premis:objectCharacteristics>
+                                    <premis:originalName>
+                                        Ramirez-glram-meng-eecs-2021-thesis.pdf
+                                    </premis:originalName>
+                                </premis:object>
+                            </premis:premis>
+                        </xmlData>
+                    </mdWrap>
+                </techMD>
+            </amdSec>
+            <amdSec ID="FT_1721.1_139336_2">
+                <techMD ID="TECH_T_1721.1_139336_2">
+                    <mdWrap MDTYPE="PREMIS">
+                        <xmlData xmlns:premis="http://www.loc.gov/standards/premis"
+                                 xsi:schemaLocation="http://www.loc.gov/standards/premis http://www.loc.gov/standards/premis/PREMIS-v1-0.xsd">
+                            <premis:premis>
+                                <premis:object>
+                                    <premis:objectIdentifier>
+                                        <premis:objectIdentifierType>URL
+                                        </premis:objectIdentifierType>
+                                        <premis:objectIdentifierValue>
+                                            https://dspace.mit.edu/bitstreams/07b3dc83-dc11-4c6d-9ba5-771f0bb141d8/download
+                                        </premis:objectIdentifierValue>
+                                    </premis:objectIdentifier>
+                                    <premis:objectCategory>File</premis:objectCategory>
+                                    <premis:objectCharacteristics>
+                                        <premis:fixity>
+                                            <premis:messageDigestAlgorithm>MD5
+                                            </premis:messageDigestAlgorithm>
+                                            <premis:messageDigest>
+                                                c6716e0e5ba7b572948dac054633a665
+                                            </premis:messageDigest>
+                                        </premis:fixity>
+                                        <premis:size>110423</premis:size>
+                                        <premis:format>
+                                            <premis:formatDesignation>
+                                                <premis:formatName>text/plain
+                                                </premis:formatName>
+                                            </premis:formatDesignation>
+                                        </premis:format>
+                                    </premis:objectCharacteristics>
+                                    <premis:originalName>
+                                        Ramirez-glram-meng-eecs-2021-thesis.pdf.txt
+                                    </premis:originalName>
+                                </premis:object>
+                            </premis:premis>
+                        </xmlData>
+                    </mdWrap>
+                </techMD>
+            </amdSec>
+            <fileSec>
+                <fileGrp USE="ORIGINAL">
+                    <file ADMID="FO_1721.1_139336_1"
+                          CHECKSUM="4906a8bec67791859ff7a3deab2edaee" CHECKSUMTYPE="MD5"
+                          GROUPID="GROUP_BITSTREAM_1721.1_139336_1"
+                          ID="BITSTREAM_ORIGINAL_1721.1_139336_1"
+                          MIMETYPE="application/pdf" SEQ="1" SIZE="825497">
+                        <FLocat LOCTYPE="URL"
+                                xlink:href="https://dspace.mit.edu/bitstreams/bd70af03-74f2-404f-9a33-ff0f70a98f00/download"
+                                xlink:type="simple"/>
+                    </file>
+                </fileGrp>
+                <fileGrp USE="TEXT">
+                    <file ADMID="FT_1721.1_139336_2"
+                          CHECKSUM="c6716e0e5ba7b572948dac054633a665" CHECKSUMTYPE="MD5"
+                          GROUPID="GROUP_BITSTREAM_1721.1_139336_2"
+                          ID="BITSTREAM_TEXT_1721.1_139336_2" MIMETYPE="text/plain"
+                          SEQ="2" SIZE="110423">
+                        <!-- FLocat intentionally removed for parser error fixture -->
+                    </file>
+                </fileGrp>
+            </fileSec>
+            <structMap LABEL="DSpace Object" TYPE="LOGICAL">
+                <div ADMID="DMD_1721.1_139336" TYPE="DSpace Object Contents">
+                    <div TYPE="DSpace BITSTREAM">
+                        <fptr FILEID="BITSTREAM_ORIGINAL_1721.1_139336_1"/>
+                    </div>
+                </div>
+            </structMap>
+        </mets>
+    </metadata>
+</record>
\ No newline at end of file
diff --git a/tests/fixtures/dspace/mets/1721.1-139336-text-filegrp-missing-file.xml b/tests/fixtures/dspace/mets/1721.1-139336-text-filegrp-missing-file.xml
new file mode 100644
index 0000000..c7e1b42
--- /dev/null
+++ b/tests/fixtures/dspace/mets/1721.1-139336-text-filegrp-missing-file.xml
@@ -0,0 +1,217 @@
+<?xml version="1.0" encoding="utf-8"?>
+<record xmlns="http://www.openarchives.org/OAI/2.0/"
+        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
+    <header>
+        <identifier>oai:dspace.mit.edu:1721.1/139336</identifier>
+        <datestamp>2026-02-19T02:13:49Z</datestamp>
+        <setSpec>com_1721.1_7582</setSpec>
+        <setSpec>com_1721.1_7581</setSpec>
+        <setSpec>col_1721.1_131023</setSpec>
+    </header>
+    <metadata>
+        <mets ID="DSpace_ITEM_1721.1-139336"
+              OBJID="hdl:1721.1/139336"
+              PROFILE="DSpace METS SIP Profile 1.0"
+              TYPE="DSpace ITEM" xmlns="http://www.loc.gov/METS/"
+              xmlns:doc="http://www.lyncode.com/xoai"
+              xmlns:xlink="http://www.w3.org/1999/xlink"
+              xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+              xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd">
+            <metsHdr CREATEDATE="2026-04-09T17:21:46Z">
+                <agent ROLE="CUSTODIAN" TYPE="ORGANIZATION">
+                    <name>DSpace at My University</name>
+                </agent>
+            </metsHdr>
+            <dmdSec ID="DMD_1721.1_139336">
+                <mdWrap MDTYPE="MODS">
+                    <xmlData xmlns:mods="http://www.loc.gov/mods/v3"
+                             xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
+                        <mods:mods
+                                xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">advisor</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Amarasinghe, Saman P.</mods:namePart>
+                            </mods:name>
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">author</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Ramirez, Gabriel L.</mods:namePart>
+                            </mods:name>
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">department</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Massachusetts Institute of Technology.
+                                    Department of Electrical Engineering and Computer
+                                    Science
+                                </mods:namePart>
+                            </mods:name>
+                            <mods:extension>
+                                <mods:dateAccessioned encoding="iso8601">
+                                    2022-01-14T15:04:50Z
+                                </mods:dateAccessioned>
+                            </mods:extension>
+                            <mods:extension>
+                                <mods:dateAvailable encoding="iso8601">
+                                    2022-01-14T15:04:50Z
+                                </mods:dateAvailable>
+                            </mods:extension>
+                            <mods:originInfo>
+                                <mods:dateIssued encoding="iso8601">2021-06
+                                </mods:dateIssued>
+                            </mods:originInfo>
+                            <mods:identifier type="uri">
+                                https://hdl.handle.net/1721.1/139336
+                            </mods:identifier>
+                            <mods:abstract>Static languages like C++ provide deep compiler
+                                support for optimization and analysis, enabling high
+                                performance at the cost of burdening users with a
+                                low-level interface. DSLs, or domain-specific languages,
+                                have traditionally complemented static languages by adding
+                                custom idioms and optimizations in their particular areas.
+                                Unfortunately, however, static languages are increasingly
+                                sidelined in many domains by dynamic languages such as
+                                Python and Ruby, which, despite their flexibility, suffer
+                                from lower performance. In this thesis, we propose Codon,
+                                a framework for implementing high-performance DSLs based
+                                on Python. Whereas previously achieving high-performance
+                                in dynamic languages has been difficult, often requiring
+                                separate compiled libraries, we provide a robust base for
+                                analysis and optimization on a purely Pythonic base,
+                                bridging the gap between dynamic and static languages. By
+                                combining a purpose-built type checker and novel
+                                intermediate representation, Codon enables developers to
+                                create intrinsically performant, modular DSLs with minimal
+                                implementation effort. We validate this approach by
+                                showcasing several Codon DSLs, all of which achieve
+                                sizeable speed-ups over Python and sometimes even C++. We
+                                further show that Codon can be easily used to implement a
+                                variety of analyses and passes. Thus, Codon enables a new
+                                class of DSLs that maintain dynamism and expressiveness,
+                                without compromising performance.
+                            </mods:abstract>
+                            <mods:language>
+                                <mods:languageTerm authority="rfc3066"/>
+                            </mods:language>
+                            <mods:accessCondition type="useAndReproduction">In Copyright -
+                                Educational Use Permitted Copyright MIT
+                            </mods:accessCondition>
+                            <mods:titleInfo>
+                                <mods:title>Codon: A Framework for Pythonic
+                                    Domain-Specific Languages
+                                </mods:title>
+                            </mods:titleInfo>
+                            <mods:genre>Thesis</mods:genre>
+                        </mods:mods>
+                    </xmlData>
+                </mdWrap>
+            </dmdSec>
+            <amdSec ID="FO_1721.1_139336_1">
+                <techMD ID="TECH_O_1721.1_139336_1">
+                    <mdWrap MDTYPE="PREMIS">
+                        <xmlData xmlns:premis="http://www.loc.gov/standards/premis"
+                                 xsi:schemaLocation="http://www.loc.gov/standards/premis http://www.loc.gov/standards/premis/PREMIS-v1-0.xsd">
+                            <premis:premis>
+                                <premis:object>
+                                    <premis:objectIdentifier>
+                                        <premis:objectIdentifierType>URL
+                                        </premis:objectIdentifierType>
+                                        <premis:objectIdentifierValue>
+                                            https://dspace.mit.edu/bitstreams/bd70af03-74f2-404f-9a33-ff0f70a98f00/download
+                                        </premis:objectIdentifierValue>
+                                    </premis:objectIdentifier>
+                                    <premis:objectCategory>File</premis:objectCategory>
+                                    <premis:objectCharacteristics>
+                                        <premis:fixity>
+                                            <premis:messageDigestAlgorithm>MD5
+                                            </premis:messageDigestAlgorithm>
+                                            <premis:messageDigest>
+                                                4906a8bec67791859ff7a3deab2edaee
+                                            </premis:messageDigest>
+                                        </premis:fixity>
+                                        <premis:size>825497</premis:size>
+                                        <premis:format>
+                                            <premis:formatDesignation>
+                                                <premis:formatName>application/pdf
+                                                </premis:formatName>
+                                            </premis:formatDesignation>
+                                        </premis:format>
+                                    </premis:objectCharacteristics>
+                                    <premis:originalName>
+                                        Ramirez-glram-meng-eecs-2021-thesis.pdf
+                                    </premis:originalName>
+                                </premis:object>
+                            </premis:premis>
+                        </xmlData>
+                    </mdWrap>
+                </techMD>
+            </amdSec>
+            <amdSec ID="FT_1721.1_139336_2">
+                <techMD ID="TECH_T_1721.1_139336_2">
+                    <mdWrap MDTYPE="PREMIS">
+                        <xmlData xmlns:premis="http://www.loc.gov/standards/premis"
+                                 xsi:schemaLocation="http://www.loc.gov/standards/premis http://www.loc.gov/standards/premis/PREMIS-v1-0.xsd">
+                            <premis:premis>
+                                <premis:object>
+                                    <premis:objectIdentifier>
+                                        <premis:objectIdentifierType>URL
+                                        </premis:objectIdentifierType>
+                                        <premis:objectIdentifierValue>
+                                            https://dspace.mit.edu/bitstreams/07b3dc83-dc11-4c6d-9ba5-771f0bb141d8/download
+                                        </premis:objectIdentifierValue>
+                                    </premis:objectIdentifier>
+                                    <premis:objectCategory>File</premis:objectCategory>
+                                    <premis:objectCharacteristics>
+                                        <premis:fixity>
+                                            <premis:messageDigestAlgorithm>MD5
+                                            </premis:messageDigestAlgorithm>
+                                            <premis:messageDigest>
+                                                c6716e0e5ba7b572948dac054633a665
+                                            </premis:messageDigest>
+                                        </premis:fixity>
+                                        <premis:size>110423</premis:size>
+                                        <premis:format>
+                                            <premis:formatDesignation>
+                                                <premis:formatName>text/plain
+                                                </premis:formatName>
+                                            </premis:formatDesignation>
+                                        </premis:format>
+                                    </premis:objectCharacteristics>
+                                    <premis:originalName>
+                                        Ramirez-glram-meng-eecs-2021-thesis.pdf.txt
+                                    </premis:originalName>
+                                </premis:object>
+                            </premis:premis>
+                        </xmlData>
+                    </mdWrap>
+                </techMD>
+            </amdSec>
+            <fileSec>
+                <fileGrp USE="ORIGINAL">
+                    <file ADMID="FO_1721.1_139336_1"
+                          CHECKSUM="4906a8bec67791859ff7a3deab2edaee" CHECKSUMTYPE="MD5"
+                          GROUPID="GROUP_BITSTREAM_1721.1_139336_1"
+                          ID="BITSTREAM_ORIGINAL_1721.1_139336_1"
+                          MIMETYPE="application/pdf" SEQ="1" SIZE="825497">
+                        <FLocat LOCTYPE="URL"
+                                xlink:href="https://dspace.mit.edu/bitstreams/bd70af03-74f2-404f-9a33-ff0f70a98f00/download"
+                                xlink:type="simple"/>
+                    </file>
+                </fileGrp>
+                <fileGrp USE="TEXT">
+                    <!-- file intentionally removed for parser error fixture -->
+                </fileGrp>
+            </fileSec>
+            <structMap LABEL="DSpace Object" TYPE="LOGICAL">
+                <div ADMID="DMD_1721.1_139336" TYPE="DSpace Object Contents">
+                    <div TYPE="DSpace BITSTREAM">
+                        <fptr FILEID="BITSTREAM_ORIGINAL_1721.1_139336_1"/>
+                    </div>
+                </div>
+            </structMap>
+        </mets>
+    </metadata>
+</record>
\ No newline at end of file
diff --git a/tests/fixtures/dspace/mets/1721.1-139336-text-flocat-missing-href.xml b/tests/fixtures/dspace/mets/1721.1-139336-text-flocat-missing-href.xml
new file mode 100644
index 0000000..5717644
--- /dev/null
+++ b/tests/fixtures/dspace/mets/1721.1-139336-text-flocat-missing-href.xml
@@ -0,0 +1,224 @@
+<?xml version="1.0" encoding="utf-8"?>
+<record xmlns="http://www.openarchives.org/OAI/2.0/"
+        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
+    <header>
+        <identifier>oai:dspace.mit.edu:1721.1/139336</identifier>
+        <datestamp>2026-02-19T02:13:49Z</datestamp>
+        <setSpec>com_1721.1_7582</setSpec>
+        <setSpec>com_1721.1_7581</setSpec>
+        <setSpec>col_1721.1_131023</setSpec>
+    </header>
+    <metadata>
+        <mets ID="DSpace_ITEM_1721.1-139336"
+              OBJID="hdl:1721.1/139336"
+              PROFILE="DSpace METS SIP Profile 1.0"
+              TYPE="DSpace ITEM" xmlns="http://www.loc.gov/METS/"
+              xmlns:doc="http://www.lyncode.com/xoai"
+              xmlns:xlink="http://www.w3.org/1999/xlink"
+              xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+              xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd">
+            <metsHdr CREATEDATE="2026-04-09T17:21:46Z">
+                <agent ROLE="CUSTODIAN" TYPE="ORGANIZATION">
+                    <name>DSpace at My University</name>
+                </agent>
+            </metsHdr>
+            <dmdSec ID="DMD_1721.1_139336">
+                <mdWrap MDTYPE="MODS">
+                    <xmlData xmlns:mods="http://www.loc.gov/mods/v3"
+                             xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
+                        <mods:mods
+                                xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">advisor</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Amarasinghe, Saman P.</mods:namePart>
+                            </mods:name>
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">author</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Ramirez, Gabriel L.</mods:namePart>
+                            </mods:name>
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">department</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Massachusetts Institute of Technology.
+                                    Department of Electrical Engineering and Computer
+                                    Science
+                                </mods:namePart>
+                            </mods:name>
+                            <mods:extension>
+                                <mods:dateAccessioned encoding="iso8601">
+                                    2022-01-14T15:04:50Z
+                                </mods:dateAccessioned>
+                            </mods:extension>
+                            <mods:extension>
+                                <mods:dateAvailable encoding="iso8601">
+                                    2022-01-14T15:04:50Z
+                                </mods:dateAvailable>
+                            </mods:extension>
+                            <mods:originInfo>
+                                <mods:dateIssued encoding="iso8601">2021-06
+                                </mods:dateIssued>
+                            </mods:originInfo>
+                            <mods:identifier type="uri">
+                                https://hdl.handle.net/1721.1/139336
+                            </mods:identifier>
+                            <mods:abstract>Static languages like C++ provide deep compiler
+                                support for optimization and analysis, enabling high
+                                performance at the cost of burdening users with a
+                                low-level interface. DSLs, or domain-specific languages,
+                                have traditionally complemented static languages by adding
+                                custom idioms and optimizations in their particular areas.
+                                Unfortunately, however, static languages are increasingly
+                                sidelined in many domains by dynamic languages such as
+                                Python and Ruby, which, despite their flexibility, suffer
+                                from lower performance. In this thesis, we propose Codon,
+                                a framework for implementing high-performance DSLs based
+                                on Python. Whereas previously achieving high-performance
+                                in dynamic languages has been difficult, often requiring
+                                separate compiled libraries, we provide a robust base for
+                                analysis and optimization on a purely Pythonic base,
+                                bridging the gap between dynamic and static languages. By
+                                combining a purpose-built type checker and novel
+                                intermediate representation, Codon enables developers to
+                                create intrinsically performant, modular DSLs with minimal
+                                implementation effort. We validate this approach by
+                                showcasing several Codon DSLs, all of which achieve
+                                sizeable speed-ups over Python and sometimes even C++. We
+                                further show that Codon can be easily used to implement a
+                                variety of analyses and passes. Thus, Codon enables a new
+                                class of DSLs that maintain dynamism and expressiveness,
+                                without compromising performance.
+                            </mods:abstract>
+                            <mods:language>
+                                <mods:languageTerm authority="rfc3066"/>
+                            </mods:language>
+                            <mods:accessCondition type="useAndReproduction">In Copyright -
+                                Educational Use Permitted Copyright MIT
+                            </mods:accessCondition>
+                            <mods:titleInfo>
+                                <mods:title>Codon: A Framework for Pythonic
+                                    Domain-Specific Languages
+                                </mods:title>
+                            </mods:titleInfo>
+                            <mods:genre>Thesis</mods:genre>
+                        </mods:mods>
+                    </xmlData>
+                </mdWrap>
+            </dmdSec>
+            <amdSec ID="FO_1721.1_139336_1">
+                <techMD ID="TECH_O_1721.1_139336_1">
+                    <mdWrap MDTYPE="PREMIS">
+                        <xmlData xmlns:premis="http://www.loc.gov/standards/premis"
+                                 xsi:schemaLocation="http://www.loc.gov/standards/premis http://www.loc.gov/standards/premis/PREMIS-v1-0.xsd">
+                            <premis:premis>
+                                <premis:object>
+                                    <premis:objectIdentifier>
+                                        <premis:objectIdentifierType>URL
+                                        </premis:objectIdentifierType>
+                                        <premis:objectIdentifierValue>
+                                            https://dspace.mit.edu/bitstreams/bd70af03-74f2-404f-9a33-ff0f70a98f00/download
+                                        </premis:objectIdentifierValue>
+                                    </premis:objectIdentifier>
+                                    <premis:objectCategory>File</premis:objectCategory>
+                                    <premis:objectCharacteristics>
+                                        <premis:fixity>
+                                            <premis:messageDigestAlgorithm>MD5
+                                            </premis:messageDigestAlgorithm>
+                                            <premis:messageDigest>
+                                                4906a8bec67791859ff7a3deab2edaee
+                                            </premis:messageDigest>
+                                        </premis:fixity>
+                                        <premis:size>825497</premis:size>
+                                        <premis:format>
+                                            <premis:formatDesignation>
+                                                <premis:formatName>application/pdf
+                                                </premis:formatName>
+                                            </premis:formatDesignation>
+                                        </premis:format>
+                                    </premis:objectCharacteristics>
+                                    <premis:originalName>
+                                        Ramirez-glram-meng-eecs-2021-thesis.pdf
+                                    </premis:originalName>
+                                </premis:object>
+                            </premis:premis>
+                        </xmlData>
+                    </mdWrap>
+                </techMD>
+            </amdSec>
+            <amdSec ID="FT_1721.1_139336_2">
+                <techMD ID="TECH_T_1721.1_139336_2">
+                    <mdWrap MDTYPE="PREMIS">
+                        <xmlData xmlns:premis="http://www.loc.gov/standards/premis"
+                                 xsi:schemaLocation="http://www.loc.gov/standards/premis http://www.loc.gov/standards/premis/PREMIS-v1-0.xsd">
+                            <premis:premis>
+                                <premis:object>
+                                    <premis:objectIdentifier>
+                                        <premis:objectIdentifierType>URL
+                                        </premis:objectIdentifierType>
+                                        <premis:objectIdentifierValue>
+                                            https://dspace.mit.edu/bitstreams/07b3dc83-dc11-4c6d-9ba5-771f0bb141d8/download
+                                        </premis:objectIdentifierValue>
+                                    </premis:objectIdentifier>
+                                    <premis:objectCategory>File</premis:objectCategory>
+                                    <premis:objectCharacteristics>
+                                        <premis:fixity>
+                                            <premis:messageDigestAlgorithm>MD5
+                                            </premis:messageDigestAlgorithm>
+                                            <premis:messageDigest>
+                                                c6716e0e5ba7b572948dac054633a665
+                                            </premis:messageDigest>
+                                        </premis:fixity>
+                                        <premis:size>110423</premis:size>
+                                        <premis:format>
+                                            <premis:formatDesignation>
+                                                <premis:formatName>text/plain
+                                                </premis:formatName>
+                                            </premis:formatDesignation>
+                                        </premis:format>
+                                    </premis:objectCharacteristics>
+                                    <premis:originalName>
+                                        Ramirez-glram-meng-eecs-2021-thesis.pdf.txt
+                                    </premis:originalName>
+                                </premis:object>
+                            </premis:premis>
+                        </xmlData>
+                    </mdWrap>
+                </techMD>
+            </amdSec>
+            <fileSec>
+                <fileGrp USE="ORIGINAL">
+                    <file ADMID="FO_1721.1_139336_1"
+                          CHECKSUM="4906a8bec67791859ff7a3deab2edaee" CHECKSUMTYPE="MD5"
+                          GROUPID="GROUP_BITSTREAM_1721.1_139336_1"
+                          ID="BITSTREAM_ORIGINAL_1721.1_139336_1"
+                          MIMETYPE="application/pdf" SEQ="1" SIZE="825497">
+                        <FLocat LOCTYPE="URL"
+                                xlink:href="https://dspace.mit.edu/bitstreams/bd70af03-74f2-404f-9a33-ff0f70a98f00/download"
+                                xlink:type="simple"/>
+                    </file>
+                </fileGrp>
+                <fileGrp USE="TEXT">
+                    <file ADMID="FT_1721.1_139336_2"
+                          CHECKSUM="c6716e0e5ba7b572948dac054633a665" CHECKSUMTYPE="MD5"
+                          GROUPID="GROUP_BITSTREAM_1721.1_139336_2"
+                          ID="BITSTREAM_TEXT_1721.1_139336_2" MIMETYPE="text/plain"
+                          SEQ="2" SIZE="110423">
+                        <FLocat LOCTYPE="URL"
+                                xlink:type="simple"/>
+                    </file>
+                </fileGrp>
+            </fileSec>
+            <structMap LABEL="DSpace Object" TYPE="LOGICAL">
+                <div ADMID="DMD_1721.1_139336" TYPE="DSpace Object Contents">
+                    <div TYPE="DSpace BITSTREAM">
+                        <fptr FILEID="BITSTREAM_ORIGINAL_1721.1_139336_1"/>
+                    </div>
+                </div>
+            </structMap>
+        </mets>
+    </metadata>
+</record>
\ No newline at end of file
diff --git a/tests/fixtures/dspace/mets/1721.1-139336.xml b/tests/fixtures/dspace/mets/1721.1-139336.xml
new file mode 100644
index 0000000..f26935b
--- /dev/null
+++ b/tests/fixtures/dspace/mets/1721.1-139336.xml
@@ -0,0 +1,225 @@
+<?xml version="1.0" encoding="utf-8"?>
+<record xmlns="http://www.openarchives.org/OAI/2.0/"
+        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
+    <header>
+        <identifier>oai:dspace.mit.edu:1721.1/139336</identifier>
+        <datestamp>2026-02-19T02:13:49Z</datestamp>
+        <setSpec>com_1721.1_7582</setSpec>
+        <setSpec>com_1721.1_7581</setSpec>
+        <setSpec>col_1721.1_131023</setSpec>
+    </header>
+    <metadata>
+        <mets ID="DSpace_ITEM_1721.1-139336"
+              OBJID="hdl:1721.1/139336"
+              PROFILE="DSpace METS SIP Profile 1.0"
+              TYPE="DSpace ITEM" xmlns="http://www.loc.gov/METS/"
+              xmlns:doc="http://www.lyncode.com/xoai"
+              xmlns:xlink="http://www.w3.org/1999/xlink"
+              xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+              xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd">
+            <metsHdr CREATEDATE="2026-04-09T17:21:46Z">
+                <agent ROLE="CUSTODIAN" TYPE="ORGANIZATION">
+                    <name>DSpace at My University</name>
+                </agent>
+            </metsHdr>
+            <dmdSec ID="DMD_1721.1_139336">
+                <mdWrap MDTYPE="MODS">
+                    <xmlData xmlns:mods="http://www.loc.gov/mods/v3"
+                             xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
+                        <mods:mods
+                                xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">advisor</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Amarasinghe, Saman P.</mods:namePart>
+                            </mods:name>
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">author</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Ramirez, Gabriel L.</mods:namePart>
+                            </mods:name>
+                            <mods:name>
+                                <mods:role>
+                                    <mods:roleTerm type="text">department</mods:roleTerm>
+                                </mods:role>
+                                <mods:namePart>Massachusetts Institute of Technology.
+                                    Department of Electrical Engineering and Computer
+                                    Science
+                                </mods:namePart>
+                            </mods:name>
+                            <mods:extension>
+                                <mods:dateAccessioned encoding="iso8601">
+                                    2022-01-14T15:04:50Z
+                                </mods:dateAccessioned>
+                            </mods:extension>
+                            <mods:extension>
+                                <mods:dateAvailable encoding="iso8601">
+                                    2022-01-14T15:04:50Z
+                                </mods:dateAvailable>
+                            </mods:extension>
+                            <mods:originInfo>
+                                <mods:dateIssued encoding="iso8601">2021-06
+                                </mods:dateIssued>
+                            </mods:originInfo>
+                            <mods:identifier type="uri">
+                                https://hdl.handle.net/1721.1/139336
+                            </mods:identifier>
+                            <mods:abstract>Static languages like C++ provide deep compiler
+                                support for optimization and analysis, enabling high
+                                performance at the cost of burdening users with a
+                                low-level interface. DSLs, or domain-specific languages,
+                                have traditionally complemented static languages by adding
+                                custom idioms and optimizations in their particular areas.
+                                Unfortunately, however, static languages are increasingly
+                                sidelined in many domains by dynamic languages such as
+                                Python and Ruby, which, despite their flexibility, suffer
+                                from lower performance. In this thesis, we propose Codon,
+                                a framework for implementing high-performance DSLs based
+                                on Python. Whereas previously achieving high-performance
+                                in dynamic languages has been difficult, often requiring
+                                separate compiled libraries, we provide a robust base for
+                                analysis and optimization on a purely Pythonic base,
+                                bridging the gap between dynamic and static languages. By
+                                combining a purpose-built type checker and novel
+                                intermediate representation, Codon enables developers to
+                                create intrinsically performant, modular DSLs with minimal
+                                implementation effort. We validate this approach by
+                                showcasing several Codon DSLs, all of which achieve
+                                sizeable speed-ups over Python and sometimes even C++. We
+                                further show that Codon can be easily used to implement a
+                                variety of analyses and passes. Thus, Codon enables a new
+                                class of DSLs that maintain dynamism and expressiveness,
+                                without compromising performance.
+                            </mods:abstract>
+                            <mods:language>
+                                <mods:languageTerm authority="rfc3066"/>
+                            </mods:language>
+                            <mods:accessCondition type="useAndReproduction">In Copyright -
+                                Educational Use Permitted Copyright MIT
+                            </mods:accessCondition>
+                            <mods:titleInfo>
+                                <mods:title>Codon: A Framework for Pythonic
+                                    Domain-Specific Languages
+                                </mods:title>
+                            </mods:titleInfo>
+                            <mods:genre>Thesis</mods:genre>
+                        </mods:mods>
+                    </xmlData>
+                </mdWrap>
+            </dmdSec>
+            <amdSec ID="FO_1721.1_139336_1">
+                <techMD ID="TECH_O_1721.1_139336_1">
+                    <mdWrap MDTYPE="PREMIS">
+                        <xmlData xmlns:premis="http://www.loc.gov/standards/premis"
+                                 xsi:schemaLocation="http://www.loc.gov/standards/premis http://www.loc.gov/standards/premis/PREMIS-v1-0.xsd">
+                            <premis:premis>
+                                <premis:object>
+                                    <premis:objectIdentifier>
+                                        <premis:objectIdentifierType>URL
+                                        </premis:objectIdentifierType>
+                                        <premis:objectIdentifierValue>
+                                            https://dspace.mit.edu/bitstreams/bd70af03-74f2-404f-9a33-ff0f70a98f00/download
+                                        </premis:objectIdentifierValue>
+                                    </premis:objectIdentifier>
+                                    <premis:objectCategory>File</premis:objectCategory>
+                                    <premis:objectCharacteristics>
+                                        <premis:fixity>
+                                            <premis:messageDigestAlgorithm>MD5
+                                            </premis:messageDigestAlgorithm>
+                                            <premis:messageDigest>
+                                                4906a8bec67791859ff7a3deab2edaee
+                                            </premis:messageDigest>
+                                        </premis:fixity>
+                                        <premis:size>825497</premis:size>
+                                        <premis:format>
+                                            <premis:formatDesignation>
+                                                <premis:formatName>application/pdf
+                                                </premis:formatName>
+                                            </premis:formatDesignation>
+                                        </premis:format>
+                                    </premis:objectCharacteristics>
+                                    <premis:originalName>
+                                        Ramirez-glram-meng-eecs-2021-thesis.pdf
+                                    </premis:originalName>
+                                </premis:object>
+                            </premis:premis>
+                        </xmlData>
+                    </mdWrap>
+                </techMD>
+            </amdSec>
+            <amdSec ID="FT_1721.1_139336_2">
+                <techMD ID="TECH_T_1721.1_139336_2">
+                    <mdWrap MDTYPE="PREMIS">
+                        <xmlData xmlns:premis="http://www.loc.gov/standards/premis"
+                                 xsi:schemaLocation="http://www.loc.gov/standards/premis http://www.loc.gov/standards/premis/PREMIS-v1-0.xsd">
+                            <premis:premis>
+                                <premis:object>
+                                    <premis:objectIdentifier>
+                                        <premis:objectIdentifierType>URL
+                                        </premis:objectIdentifierType>
+                                        <premis:objectIdentifierValue>
+                                            https://dspace.mit.edu/bitstreams/07b3dc83-dc11-4c6d-9ba5-771f0bb141d8/download
+                                        </premis:objectIdentifierValue>
+                                    </premis:objectIdentifier>
+                                    <premis:objectCategory>File</premis:objectCategory>
+                                    <premis:objectCharacteristics>
+                                        <premis:fixity>
+                                            <premis:messageDigestAlgorithm>MD5
+                                            </premis:messageDigestAlgorithm>
+                                            <premis:messageDigest>
+                                                c6716e0e5ba7b572948dac054633a665
+                                            </premis:messageDigest>
+                                        </premis:fixity>
+                                        <premis:size>110423</premis:size>
+                                        <premis:format>
+                                            <premis:formatDesignation>
+                                                <premis:formatName>text/plain
+                                                </premis:formatName>
+                                            </premis:formatDesignation>
+                                        </premis:format>
+                                    </premis:objectCharacteristics>
+                                    <premis:originalName>
+                                        Ramirez-glram-meng-eecs-2021-thesis.pdf.txt
+                                    </premis:originalName>
+                                </premis:object>
+                            </premis:premis>
+                        </xmlData>
+                    </mdWrap>
+                </techMD>
+            </amdSec>
+            <fileSec>
+                <fileGrp USE="ORIGINAL">
+                    <file ADMID="FO_1721.1_139336_1"
+                          CHECKSUM="4906a8bec67791859ff7a3deab2edaee" CHECKSUMTYPE="MD5"
+                          GROUPID="GROUP_BITSTREAM_1721.1_139336_1"
+                          ID="BITSTREAM_ORIGINAL_1721.1_139336_1"
+                          MIMETYPE="application/pdf" SEQ="1" SIZE="825497">
+                        <FLocat LOCTYPE="URL"
+                                xlink:href="https://dspace.mit.edu/bitstreams/bd70af03-74f2-404f-9a33-ff0f70a98f00/download"
+                                xlink:type="simple"/>
+                    </file>
+                </fileGrp>
+                <fileGrp USE="TEXT">
+                    <file ADMID="FT_1721.1_139336_2"
+                          CHECKSUM="c6716e0e5ba7b572948dac054633a665" CHECKSUMTYPE="MD5"
+                          GROUPID="GROUP_BITSTREAM_1721.1_139336_2"
+                          ID="BITSTREAM_TEXT_1721.1_139336_2" MIMETYPE="text/plain"
+                          SEQ="2" SIZE="110423">
+                        <FLocat LOCTYPE="URL"
+                                xlink:href="https://dspace.mit.edu/bitstreams/07b3dc83-dc11-4c6d-9ba5-771f0bb141d8/download"
+                                xlink:type="simple"/>
+                    </file>
+                </fileGrp>
+            </fileSec>
+            <structMap LABEL="DSpace Object" TYPE="LOGICAL">
+                <div ADMID="DMD_1721.1_139336" TYPE="DSpace Object Contents">
+                    <div TYPE="DSpace BITSTREAM">
+                        <fptr FILEID="BITSTREAM_ORIGINAL_1721.1_139336_1"/>
+                    </div>
+                </div>
+            </structMap>
+        </mets>
+    </metadata>
+</record>
\ No newline at end of file
diff --git a/tests/fixtures/timdex/dspace-1721.1-139336.json b/tests/fixtures/timdex/dspace-1721.1-139336.json
new file mode 100644
index 0000000..fdf65df
--- /dev/null
+++ b/tests/fixtures/timdex/dspace-1721.1-139336.json
@@ -0,0 +1,62 @@
+{
+  "source": "DSpace@MIT",
+  "source_link": "https://dspace.mit.edu/handle/1721.1/139336",
+  "timdex_record_id": "dspace:1721.1-139336",
+  "title": "Codon: A Framework for Pythonic Domain-Specific Languages",
+  "citation": "Ramirez, Gabriel L. (2021-06): Codon: A Framework for Pythonic Domain-Specific Languages. Thesis. https://dspace.mit.edu/handle/1721.1/139336",
+  "content_type": [
+    "Thesis"
+  ],
+  "contributors": [
+    {
+      "value": "Amarasinghe, Saman P.",
+      "kind": "advisor"
+    },
+    {
+      "value": "Ramirez, Gabriel L.",
+      "kind": "author"
+    },
+    {
+      "value": "Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science",
+      "kind": "department"
+    }
+  ],
+  "dates": [
+    {
+      "kind": "Publication date",
+      "value": "2021-06"
+    }
+  ],
+  "file_formats": [
+    "application/pdf"
+  ],
+  "format": "electronic resource",
+  "identifiers": [
+    {
+      "value": "https://hdl.handle.net/1721.1/139336",
+      "kind": "uri"
+    }
+  ],
+  "links": [
+    {
+      "url": "https://hdl.handle.net/1721.1/139336",
+      "kind": "Digital object URL",
+      "text": "Digital object URL"
+    }
+  ],
+  "rights": [
+    {
+      "description": "In Copyright - Educational Use Permitted Copyright MIT",
+      "kind": "useAndReproduction"
+    }
+  ],
+  "summary": [
+    "Static languages like C++ provide deep compiler support for optimization and analysis, enabling high performance at the cost of burdening users with a low-level interface. DSLs, or domain-specific languages, have traditionally complemented static languages by adding custom idioms and optimizations in their particular areas. Unfortunately, however, static languages are increasingly sidelined in many domains by dynamic languages such as Python and Ruby, which, despite their flexibility, suffer from lower performance. In this thesis, we propose Codon, a framework for implementing high-performance DSLs based on Python. Whereas previously achieving high-performance in dynamic languages has been difficult, often requiring separate compiled libraries, we provide a robust base for analysis and optimization on a purely Pythonic base, bridging the gap between dynamic and static languages. By combining a purpose-built type checker and novel intermediate representation, Codon enables developers to create intrinsically performant, modular DSLs with minimal implementation effort. We validate this approach by showcasing several Codon DSLs, all of which achieve sizeable speed-ups over Python and sometimes even C++. We further show that Codon can be easily used to implement a variety of analyses and passes. Thus, Codon enables a new class of DSLs that maintain dynamism and expressiveness, without compromising performance."
+  ],
+  "timdex_provenance": {
+    "source": "dspace",
+    "run_date": "2026-05-13",
+    "run_id": "5e11f27e-fe05-44f4-8bcb-5acbdb032cf3",
+    "run_record_offset": 109979
+  }
+}
\ No newline at end of file
diff --git a/tests/test_dataset.py b/tests/test_dataset.py
new file mode 100644
index 0000000..65f327b
--- /dev/null
+++ b/tests/test_dataset.py
@@ -0,0 +1,189 @@
+# ruff: noqa: D205
+
+import json
+import re
+
+import pytest
+
+from dfh.timdex_dataset import (
+    MissingTextBitstreamError,
+    SourceRecordParseError,
+    TIMDEXThesesRecords,
+)
+
+
+def test_init_requires_dataset_location(monkeypatch):
+    monkeypatch.delenv("TIMDEX_DATASET_LOCATION", raising=False)
+
+    with pytest.raises(ValueError, match="dataset_location"):
+        TIMDEXThesesRecords()
+
+
+def test_theses_records_returns_only_records_with_thesis_content_type(
+    timdex_theses_records,
+):
+    dspace_records = [
+        {
+            "timdex_record_id": "thesis",
+            "transformed_record": {"content_type": ["Thesis"]},
+        },
+        {
+            "timdex_record_id": "book",
+            "transformed_record": {"content_type": ["Book"]},
+        },
+    ]
+    timdex_theses_records.dspace_records = lambda: iter(dspace_records)
+
+    result = list(timdex_theses_records.theses_records())
+
+    assert result == [dspace_records[0]]
+
+
+def test_record_and_bitstream_metadata_iter_yields_metadata_and_skips_bitstream_errors(
+    caplog,
+    monkeypatch,
+    dspace_mets_source_record,
+    dspace_mets_missing_text_filegrp_source_record,
+    timdex_dspace_thesis_record,
+    timdex_theses_records,
+    dspace_mets_text_bitstream_info,
+):
+    caplog.set_level("DEBUG")
+    timdex_record = timdex_dspace_thesis_record
+    raw_records = [
+        {
+            "timdex_record_id": timdex_record["timdex_record_id"],
+            "run_id": timdex_record["timdex_provenance"]["run_id"],
+            "run_record_offset": timdex_record["timdex_provenance"]["run_record_offset"],
+            "run_date": timdex_record["timdex_provenance"]["run_date"],
+            "run_timestamp": "2026-05-13T00:00:00Z",
+            "source_record": dspace_mets_source_record,
+            "transformed_record": json.dumps(timdex_record),
+        },
+        {
+            "timdex_record_id": "dspace:missing-text-filegrp",
+            "run_id": timdex_record["timdex_provenance"]["run_id"],
+            "run_record_offset": 2,
+            "run_date": timdex_record["timdex_provenance"]["run_date"],
+            "run_timestamp": "2026-05-13T00:00:01Z",
+            "source_record": dspace_mets_missing_text_filegrp_source_record,
+            "transformed_record": json.dumps(timdex_record),
+        },
+        {
+            "timdex_record_id": "dspace:malformed-source-record",
+            "run_id": timdex_record["timdex_provenance"]["run_id"],
+            "run_record_offset": 3,
+            "run_date": timdex_record["timdex_provenance"]["run_date"],
+            "run_timestamp": "2026-05-13T00:00:02Z",
+            "source_record": b"<root>",
+            "transformed_record": json.dumps(timdex_record),
+        },
+    ]
+    monkeypatch.setattr(
+        timdex_theses_records.timdex_dataset.records,
+        "read_dicts_iter",
+        lambda **_: iter(raw_records),
+    )
+
+    result = list(timdex_theses_records.record_and_bitstream_metadata_iter())
+
+    assert "TIMDEX dataset DSpace records: retrieved=3" in caplog.text
+    assert (
+        "Error parsing fulltext bitstream information for 'dspace:missing-text-filegrp': "
+        "Could not find 'TEXT' fileGrp in METS" in caplog.text
+    )
+    assert (
+        "Error parsing fulltext bitstream information for "
+        "'dspace:malformed-source-record': Could not parse source_record XML:"
+        in caplog.text
+    )
+    assert (
+        "TIMDEX dataset DSpace theses: processed=3 yielded=1 "
+        "fulltext_bitstream_errors=2" in caplog.text
+    )
+    assert result == [
+        {
+            "timdex_record_id": "dspace:1721.1-139336",
+            "run_id": timdex_record["timdex_provenance"]["run_id"],
+            "run_record_offset": 109979,
+            "run_date": "2026-05-13",
+            "run_timestamp": "2026-05-13T00:00:00Z",
+            "fulltext_bitstream": dspace_mets_text_bitstream_info,
+        },
+    ]
+
+
+def test_get_text_bitstream_info_from_source_record(
+    dspace_mets_source_record,
+    timdex_theses_records,
+    dspace_mets_text_bitstream_info,
+):
+    result = timdex_theses_records.get_text_bitstream_info_from_source_record(
+        dspace_mets_source_record,
+    )
+
+    assert result == dspace_mets_text_bitstream_info
+
+
+@pytest.mark.parametrize(
+    ("source_record", "message"),
+    [
+        pytest.param(
+            b"<root>",
+            "Could not parse source_record XML:",
+            id="malformed-xml",
+        ),
+        pytest.param(
+            b"<root />",
+            "Could not find METS element in source_record",
+            id="missing-mets",
+        ),
+    ],
+)
+def test_get_mets_root_raises_source_record_parse_error(
+    source_record,
+    message,
+    timdex_theses_records,
+):
+    with pytest.raises(SourceRecordParseError, match=re.escape(message)):
+        timdex_theses_records.get_mets_root(source_record)
+
+
+@pytest.mark.parametrize(
+    ("source_record_fixture", "message"),
+    [
+        pytest.param(
+            "dspace_mets_missing_text_filegrp_source_record",
+            "Could not find 'TEXT' fileGrp in METS",
+            id="missing-text-filegrp",
+        ),
+        pytest.param(
+            "dspace_mets_text_filegrp_missing_file_source_record",
+            "Could not find file in METS 'TEXT' fileGrp",
+            id="text-filegrp-missing-file",
+        ),
+        pytest.param(
+            "dspace_mets_text_file_missing_flocat_source_record",
+            "Could not find FLocat in METS 'TEXT' file",
+            id="text-file-missing-flocat",
+        ),
+        pytest.param(
+            "dspace_mets_text_flocat_missing_href_source_record",
+            "Could not find href for METS 'TEXT' file",
+            id="text-flocat-missing-href",
+        ),
+    ],
+)
+def test_get_text_bitstream_info_from_source_record_raises_error(
+    source_record_fixture,
+    message,
+    request,
+    timdex_theses_records,
+):
+    """Parameterized test demonstrates that MissingTextBitstreamError is thrown for a
+    variety of reasons if a TEXT bitstream UUID cannot be identified from the DSpace METS.
+    """
+    source_record = request.getfixturevalue(source_record_fixture)
+
+    with pytest.raises(MissingTextBitstreamError, match=re.escape(message)):
+        timdex_theses_records.get_text_bitstream_info_from_source_record(source_record)
diff --git a/uv.lock b/uv.lock
index 9330f57..38fc036 100644
--- a/uv.lock
+++ b/uv.lock
@@ -53,6 +53,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/bd/46/d3ec57ad500f598d1554bd14ce4df615960549ab2844961bc4e1f5fbd174/ast_serialize-0.3.0-cp39-abi3-win_arm64.whl", hash = "sha256:0dd00da29985f15f50dc35728b7e1e7c84507bccfea1d9914738530f1c72238a", size = 1077165, upload-time = "2026-04-30T23:24:46.377Z" },
 ]
 
+[[package]]
+name = "asttokens"
+version = "3.0.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/be/a5/8e3f9b6771b0b408517c82d97aed8f2036509bc247d46114925e32fe33f0/asttokens-3.0.1.tar.gz", hash = "sha256:71a4ee5de0bde6a31d64f6b13f2293ac190344478f081c3d1bccfcf5eacb0cb7", size = 62308, upload-time = "2025-11-15T16:43:48.578Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d2/39/e7eaf1799466a4aef85b6a4fe7bd175ad2b1c6345066aa33f1f58d4b18d0/asttokens-3.0.1-py3-none-any.whl", hash = "sha256:15a3ebc0f43c2d0a50eeafea25e19046c68398e487b9f1f5b517f7c0f40f976a", size = 27047, upload-time = "2025-11-15T16:43:16.109Z" },
+]
+
 [[package]]
 name = "attrs"
 version = "26.1.0"
@@ -62,6 +71,109 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/64/b4/17d4b0b2a2dc85a6df63d1157e028ed19f90d4cd97c36717afef2bc2f395/attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309", size = 67548, upload-time = "2026-03-19T14:22:23.645Z" },
 ]
 
+[[package]]
+name = "azure-common"
+version = "1.1.28"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/3e/71/f6f71a276e2e69264a97ad39ef850dca0a04fce67b12570730cb38d0ccac/azure-common-1.1.28.zip", hash = "sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3", size = 20914, upload-time = "2022-02-03T19:39:44.373Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/62/55/7f118b9c1b23ec15ca05d15a578d8207aa1706bc6f7c87218efffbbf875d/azure_common-1.1.28-py2.py3-none-any.whl", hash = "sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad", size = 14462, upload-time = "2022-02-03T19:39:42.417Z" },
+]
+
+[[package]]
+name = "azure-core"
+version = "1.41.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "requests" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/a6/f3/b416179e408990df5db0d516283022dde0f5d0111d98c1a848e41853e81c/azure_core-1.41.0.tar.gz", hash = "sha256:f46ff5dfcd230f25cf1c19e8a34b8dc08a337b2503e268bb600a16c00db8ad5a", size = 381042, upload-time = "2026-05-07T23:30:54.302Z" }
+wheels = [
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+]
+
+[[package]]
+name = "azure-storage-blob"
+version = "12.28.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "azure-core" },
+    { name = "cryptography" },
+    { name = "isodate" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/71/24/072ba8e27b0e2d8fec401e9969b429d4f5fc4c8d4f0f05f4661e11f7234a/azure_storage_blob-12.28.0.tar.gz", hash = "sha256:e7d98ea108258d29aa0efbfd591b2e2075fa1722a2fae8699f0b3c9de11eff41", size = 604225, upload-time = "2026-01-06T23:48:57.282Z" }
+wheels = [
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+[[package]]
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