diff --git a/.github/workflows/bot-auto-merge.yml b/.github/workflows/bot-auto-merge.yml
index 898775e50a..a8b216a008 100644
--- a/.github/workflows/bot-auto-merge.yml
+++ b/.github/workflows/bot-auto-merge.yml
@@ -12,7 +12,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Impersonate auto merge PR bot
-        uses: tibdex/github-app-token@v1
+        uses: tibdex/github-app-token@v2
         id: generate-token
         with:
           app_id: ${{ secrets.BOT_AUTO_MERGE_PRS_APP_ID }}
diff --git a/.github/workflows/build-deploy-pudl.yml b/.github/workflows/build-deploy-pudl.yml
index eec4318ecf..1dfa75b644 100644
--- a/.github/workflows/build-deploy-pudl.yml
+++ b/.github/workflows/build-deploy-pudl.yml
@@ -45,7 +45,7 @@ jobs:
 
       - name: Docker Metadata
         id: docker_metadata
-        uses: docker/metadata-action@v4.4.0
+        uses: docker/metadata-action@v5.3.0
         with:
           images: catalystcoop/pudl-etl
           flavor: |
@@ -83,7 +83,7 @@ jobs:
 
       # Setup gcloud CLI
       - name: Set up Cloud SDK
-        uses: google-github-actions/setup-gcloud@v1
+        uses: google-github-actions/setup-gcloud@v2
 
       - name: Determine commit information
         run: |-
diff --git a/.github/workflows/docker-build-test.yml b/.github/workflows/docker-build-test.yml
index d82ebf74cf..6cc14b8d58 100644
--- a/.github/workflows/docker-build-test.yml
+++ b/.github/workflows/docker-build-test.yml
@@ -17,7 +17,7 @@ jobs:
 
       - name: Docker Metadata
         id: docker_metadata
-        uses: docker/metadata-action@v4.4.0
+        uses: docker/metadata-action@v5.3.0
         with:
           images: catalystcoop/pudl-etl
           flavor: |
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index 7a6385c14d..458bac69f4 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -12,7 +12,7 @@ jobs:
         with:
           fetch-depth: 2
       - name: Set up Python
-        uses: actions/setup-python@v4
+        uses: actions/setup-python@v5
         with:
           python-version: "3.11"
       - name: Build source and wheel distributions
diff --git a/.github/workflows/run-etl.yml b/.github/workflows/run-etl.yml
index d8876e940c..014c3ccb6c 100644
--- a/.github/workflows/run-etl.yml
+++ b/.github/workflows/run-etl.yml
@@ -16,7 +16,7 @@ jobs:
         uses: actions/checkout@v4
       - name: Docker Metadata
         id: docker_metadata
-        uses: docker/metadata-action@v4.4.0
+        uses: docker/metadata-action@v5.3.0
         # TODO(rousik): we could consider YYYY-MM-DD-HHMM-branch-sha
         with:
           images: catalystcoop/pudl-etl-ci
diff --git a/.github/workflows/zenodo-cache-sync.yml b/.github/workflows/zenodo-cache-sync.yml
index f52d74be78..d4d68c115d 100644
--- a/.github/workflows/zenodo-cache-sync.yml
+++ b/.github/workflows/zenodo-cache-sync.yml
@@ -69,7 +69,7 @@ jobs:
           service_account: "zenodo-cache-manager@catalyst-cooperative-pudl.iam.gserviceaccount.com"
 
       - name: Set up Cloud SDK
-        uses: google-github-actions/setup-gcloud@v1
+        uses: google-github-actions/setup-gcloud@v2
 
       - name: Update GCS cache with any new Zenodo archives
         run: |
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 3bc8081313..57f096d3d9 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -29,7 +29,7 @@ repos:
   # Formatters: hooks that re-write Python & documentation files
   ####################################################################################
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.1.6
+    rev: v0.1.7
     hooks:
       - id: ruff
         args: [--fix, --exit-non-zero-on-fix]
diff --git a/docs/release_notes.rst b/docs/release_notes.rst
index 78fe2922af..9737ce3eeb 100644
--- a/docs/release_notes.rst
+++ b/docs/release_notes.rst
@@ -18,6 +18,12 @@ v2023.12.XX
   outputs describing historical utility and balancing authority service territories. See
   :issue:`1174` and :pr:`3086`.
 
+Data Coverage
+^^^^^^^^^^^^^
+* Updated :doc:`data_sources/epacems` to switch to pulling the quarterly updates of
+  CEMS instead of the annual files. Integrates CEMS through 2023q3. See issue
+  :issue:`2973` & PR :pr:`3096`.
+
 ---------------------------------------------------------------------------------------
 v2023.12.01
 ---------------------------------------------------------------------------------------
diff --git a/environments/conda-linux-64.lock.yml b/environments/conda-linux-64.lock.yml
index b3a384bb41..0dbbdcef09 100644
--- a/environments/conda-linux-64.lock.yml
+++ b/environments/conda-linux-64.lock.yml
@@ -43,11 +43,11 @@ dependencies:
   - libbrotlicommon=1.1.0=hd590300_1
   - libcrc32c=1.1.2=h9c3ff4c_0
   - libdeflate=1.19=hd590300_0
-  - libev=4.33=h516909a_1
+  - libev=4.33=hd590300_2
   - libexpat=2.5.0=hcb278e6_1
   - libffi=3.4.2=h7f98852_5
   - libgfortran5=13.2.0=ha4646dd_3
-  - libiconv=1.17=h166bdaf_0
+  - libiconv=1.17=hd590300_1
   - libjpeg-turbo=3.0.0=hd590300_1
   - libnsl=2.0.1=hd590300_0
   - libnuma=2.0.16=h0b41bf4_1
@@ -62,7 +62,7 @@ dependencies:
   - lzo=2.10=h516909a_1000
   - ncurses=6.4=h59595ed_2
   - nspr=4.35=h27087fc_0
-  - openssl=3.1.4=hd590300_0
+  - openssl=3.2.0=hd590300_1
   - pixman=0.42.2=h59595ed_0
   - pthread-stubs=0.4=h36c2ea0_1001
   - rdma-core=49.0=hd3aeb46_1
@@ -92,7 +92,7 @@ dependencies:
   - libgfortran-ng=13.2.0=h69a702a_3
   - libkml=1.3.0=h01aab08_1018
   - libllvm14=14.0.6=hcd5def8_4
-  - libnghttp2=1.58.0=h47da74e_0
+  - libnghttp2=1.58.0=h47da74e_1
   - libpng=1.6.39=h753d276_0
   - libprotobuf=4.24.4=hf27288f_0
   - libre2-11=2023.06.02=h7a70373_0
@@ -160,7 +160,7 @@ dependencies:
   - colorama=0.4.6=pyhd8ed1ab_0
   - crashtest=0.4.1=pyhd8ed1ab_0
   - cycler=0.12.1=pyhd8ed1ab_0
-  - dagster-pipes=1.5.10=pyhd8ed1ab_0
+  - dagster-pipes=1.5.11=pyhd8ed1ab_0
   - dataclasses=0.8=pyhc8e2a94_3
   - dbus=1.13.6=h5008d03_3
   - debugpy=1.8.0=py311hb755f60_1
@@ -181,7 +181,7 @@ dependencies:
   - fsspec=2023.12.1=pyhca7485f_0
   - gdk-pixbuf=2.42.10=h829c605_4
   - google-cloud-sdk=456.0.0=py311h38be061_0
-  - greenlet=3.0.1=py311hb755f60_0
+  - greenlet=3.0.2=py311hb755f60_0
   - gts=0.7.6=h977cf35_4
   - hpack=4.0.0=pyh9f0ad1d_0
   - httptools=0.6.1=py311h459d7ec_0
@@ -202,9 +202,9 @@ dependencies:
   - kiwisolver=1.4.5=py311h9547e67_1
   - lcms2=2.16=hb7c19ff_0
   - libblas=3.9.0=20_linux64_openblas
-  - libcurl=8.4.0=hca28451_0
+  - libcurl=8.5.0=hca28451_0
   - libgrpc=1.59.2=hd6c4280_0
-  - libpq=16.1=hfc447b1_0
+  - libpq=16.1=h33b98f1_7
   - libwebp=1.3.2=h658648e_1
   - llvmlite=0.41.1=py311ha6695c7_0
   - locket=1.0.0=pyhd8ed1ab_0
@@ -233,7 +233,7 @@ dependencies:
   - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1
   - platformdirs=4.1.0=pyhd8ed1ab_0
   - pluggy=1.3.0=pyhd8ed1ab_0
-  - prettier=3.1.0=h31abb78_0
+  - prettier=3.1.1=h31abb78_0
   - prometheus_client=0.19.0=pyhd8ed1ab_0
   - psutil=5.9.5=py311h459d7ec_1
   - ptyprocess=0.7.0=pyhd3deb0d_0
@@ -287,7 +287,7 @@ dependencies:
   - traitlets=5.14.0=pyhd8ed1ab_0
   - types-python-dateutil=2.8.19.14=pyhd8ed1ab_0
   - types-pyyaml=6.0.12.12=pyhd8ed1ab_0
-  - typing_extensions=4.8.0=pyha770c72_0
+  - typing_extensions=4.9.0=pyha770c72_0
   - typing_utils=0.1.0=pyhd8ed1ab_0
   - unicodecsv=0.14.1=pyhd8ed1ab_2
   - uri-template=1.3.0=pyhd8ed1ab_0
@@ -321,7 +321,7 @@ dependencies:
   - cached-property=1.5.2=hd8ed1ab_1
   - cairo=1.18.0=h3faef2a_0
   - cffi=1.16.0=py311hb3a22ac_0
-  - cfitsio=4.3.0=hbdc6101_0
+  - cfitsio=4.3.1=hbdc6101_0
   - click-default-group=1.2.4=pyhd8ed1ab_0
   - click-default-group-wheel=1.2.2=pyhd8ed1ab_0
   - click-plugins=1.1.1=py_0
@@ -330,16 +330,16 @@ dependencies:
   - coloredlogs=14.0=pyhd8ed1ab_3
   - comm=0.1.4=pyhd8ed1ab_0
   - coverage=7.3.2=py311h459d7ec_0
-  - curl=8.4.0=hca28451_0
+  - curl=8.5.0=hca28451_0
   - fonttools=4.46.0=py311h459d7ec_0
   - gitdb=4.0.11=pyhd8ed1ab_0
   - graphql-core=3.2.3=pyhd8ed1ab_0
   - grpcio=1.59.2=py311ha6695c7_0
   - h11=0.14.0=pyhd8ed1ab_0
   - h2=4.1.0=pyhd8ed1ab_0
-  - hdf5=1.14.2=nompi_h4f84152_100
+  - hdf5=1.14.3=nompi_h4f84152_100
   - html5lib=1.1=pyh9f0ad1d_0
-  - hypothesis=6.91.0=pyha770c72_0
+  - hypothesis=6.92.0=pyha770c72_0
   - importlib-metadata=7.0.0=pyha770c72_0
   - importlib_resources=6.1.1=pyhd8ed1ab_0
   - isodate=0.6.1=pyhd8ed1ab_0
@@ -365,9 +365,9 @@ dependencies:
   - partd=1.4.1=pyhd8ed1ab_0
   - pexpect=4.8.0=pyh1a96a4e_2
   - pillow=10.1.0=py311ha6c5da5_0
-  - pint=0.22=pyhd8ed1ab_1
+  - pint=0.23=pyhd8ed1ab_0
   - pip=23.3.1=pyhd8ed1ab_0
-  - postgresql=16.1=h8972f4a_0
+  - postgresql=16.1=h8972f4a_7
   - proj=9.3.0=h1d62c97_2
   - prompt-toolkit=3.0.41=pyha770c72_0
   - protobuf=4.24.4=py311h46cbc50_0
@@ -387,7 +387,7 @@ dependencies:
   - terminado=0.18.0=pyh0d859eb_0
   - tinycss2=1.2.1=pyhd8ed1ab_0
   - tqdm=4.66.1=pyhd8ed1ab_0
-  - typing-extensions=4.8.0=hd8ed1ab_0
+  - typing-extensions=4.9.0=hd8ed1ab_0
   - typing_inspect=0.9.0=pyhd8ed1ab_0
   - universal_pathlib=0.1.4=pyhd8ed1ab_0
   - urllib3=1.26.18=pyhd8ed1ab_0
@@ -402,7 +402,7 @@ dependencies:
   - arrow=1.3.0=pyhd8ed1ab_0
   - async-timeout=4.0.3=pyhd8ed1ab_0
   - aws-c-s3=0.4.1=hfadff92_0
-  - botocore=1.33.9=pyhd8ed1ab_0
+  - botocore=1.33.11=pyhd8ed1ab_0
   - branca=0.7.0=pyhd8ed1ab_1
   - croniter=2.0.1=pyhd8ed1ab_0
   - cryptography=41.0.7=py311hcb13ee4_1
@@ -418,7 +418,7 @@ dependencies:
   - httpcore=1.0.2=pyhd8ed1ab_0
   - importlib_metadata=7.0.0=hd8ed1ab_0
   - jsonschema-specifications=2023.11.2=pyhd8ed1ab_0
-  - jupyter_server_terminals=0.4.4=pyhd8ed1ab_1
+  - jupyter_server_terminals=0.5.0=pyhd8ed1ab_0
   - kealib=1.5.2=hcd42e92_1
   - libnetcdf=4.9.2=nompi_h80fb2b6_112
   - libspatialite=5.1.0=h7385560_2
@@ -426,7 +426,7 @@ dependencies:
   - numpy=1.26.2=py311h64a7726_0
   - pbr=6.0.0=pyhd8ed1ab_0
   - pendulum=2.1.2=py311h459d7ec_6
-  - poppler=23.11.0=h590f24d_0
+  - poppler=23.12.0=h590f24d_0
   - prompt_toolkit=3.0.41=hd8ed1ab_0
   - psycopg2-binary=2.9.9=pyhd8ed1ab_0
   - pybtex=0.24.0=pyhd8ed1ab_2
@@ -442,7 +442,7 @@ dependencies:
   - sqlalchemy=2.0.23=py311h459d7ec_0
   - stack_data=0.6.2=pyhd8ed1ab_0
   - starlette=0.33.0=pyhd8ed1ab_0
-  - tiledb=2.16.3=h8c794c1_3
+  - tiledb=2.18.2=h8c794c1_0
   - ukkonen=1.0.1=py311h9547e67_4
   - uvicorn=0.24.0.post1=py311h38be061_0
   - watchfiles=0.21.0=py311h46250e7_0
@@ -468,11 +468,11 @@ dependencies:
   - isoduration=20.11.0=pyhd8ed1ab_0
   - jsonschema=4.20.0=pyhd8ed1ab_0
   - jupyter_client=8.6.0=pyhd8ed1ab_0
-  - libgdal=3.8.0=he7dcfe9_6
+  - libgdal=3.8.1=hd0089ee_2
   - numba=0.58.1=py311h96b013e_0
   - numexpr=2.8.7=py311h039bad6_104
   - oauthlib=3.2.2=pyhd8ed1ab_0
-  - pandas=2.1.3=py311h320fe9a_0
+  - pandas=2.1.4=py311h320fe9a_0
   - pango=1.50.14=ha41ecd1_2
   - pybtex-docutils=1.0.3=py311h38be061_1
   - pydantic=2.5.2=pyhd8ed1ab_0
@@ -489,16 +489,16 @@ dependencies:
   - typer=0.9.0=pyhd8ed1ab_0
   - uvicorn-standard=0.24.0.post1=h38be061_0
   - aws-sdk-cpp=1.11.182=h8beafcf_7
-  - boto3=1.33.9=pyhd8ed1ab_0
+  - boto3=1.33.11=pyhd8ed1ab_0
   - cachecontrol-with-filecache=0.13.1=pyhd8ed1ab_0
-  - dagster=1.5.10=pyhd8ed1ab_0
+  - dagster=1.5.11=pyhd8ed1ab_0
   - datasette=0.64.4=pyhd8ed1ab_1
   - doc8=1.1.1=pyhd8ed1ab_0
   - email-validator=2.1.0.post1=pyhd8ed1ab_0
   - frictionless=4.40.8=pyh6c4a22f_0
-  - gdal=3.8.0=py311h815a124_6
+  - gdal=3.8.1=py311h67923c1_2
   - geopandas-base=0.14.1=pyha770c72_0
-  - google-auth=2.25.1=pyhca7485f_0
+  - google-auth=2.25.2=pyhca7485f_0
   - gql-with-requests=3.4.1=pyhd8ed1ab_0
   - gtk2=2.24.33=h90689f9_2
   - ipykernel=6.26.0=pyhf8b6a83_0
@@ -509,15 +509,15 @@ dependencies:
   - matplotlib-base=3.8.2=py311h54ef318_0
   - nbformat=5.9.2=pyhd8ed1ab_0
   - pandera-core=0.17.2=pyhd8ed1ab_1
-  - pre-commit=3.5.0=pyha770c72_0
+  - pre-commit=3.6.0=pyha770c72_0
   - pydantic-settings=2.1.0=pyhd8ed1ab_1
   - requests-oauthlib=1.3.1=pyhd8ed1ab_0
   - scikit-learn=1.3.2=py311hc009520_2
   - timezonefinder=6.2.0=py311h459d7ec_2
   - catalystcoop.ferc_xbrl_extractor=1.3.1=pyhd8ed1ab_0
   - conda-lock=2.5.1=pyhd8ed1ab_0
-  - dagster-graphql=1.5.10=pyhd8ed1ab_0
-  - dagster-postgres=0.21.10=pyhd8ed1ab_0
+  - dagster-graphql=1.5.11=pyhd8ed1ab_0
+  - dagster-postgres=0.21.11=pyhd8ed1ab_0
   - fiona=1.9.5=py311hf8e0aa6_2
   - google-api-core=2.15.0=pyhd8ed1ab_0
   - google-auth-oauthlib=1.1.0=pyhd8ed1ab_0
@@ -530,7 +530,7 @@ dependencies:
   - qtconsole-base=5.5.1=pyha770c72_0
   - recordlinkage=0.16=pyhd8ed1ab_0
   - tabulator=1.53.5=pyhd8ed1ab_0
-  - dagster-webserver=1.5.10=pyhd8ed1ab_0
+  - dagster-webserver=1.5.11=pyhd8ed1ab_0
   - geopandas=0.14.1=pyhd8ed1ab_0
   - google-cloud-core=2.4.1=pyhd8ed1ab_0
   - libarrow-acero=14.0.1=h59595ed_3_cpu
diff --git a/environments/conda-lock.yml b/environments/conda-lock.yml
index 485dd1c1da..c61689b53c 100644
--- a/environments/conda-lock.yml
+++ b/environments/conda-lock.yml
@@ -1914,52 +1914,52 @@ package:
     category: main
     optional: false
   - name: boto3
-    version: 1.33.9
+    version: 1.33.11
     manager: conda
     platform: linux-64
     dependencies:
-      botocore: ">=1.33.9,<1.34.0"
+      botocore: ">=1.33.11,<1.34.0"
       jmespath: ">=0.7.1,<2.0.0"
       python: ">=3.7"
       s3transfer: ">=0.8.2,<0.9.0"
-    url: https://conda.anaconda.org/conda-forge/noarch/boto3-1.33.9-pyhd8ed1ab_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/boto3-1.33.11-pyhd8ed1ab_0.conda
     hash:
-      md5: 0bc87faa4f6ff6321c4cef9b57e82041
-      sha256: 685c90c40889cabc9bd03e67bd066546d019ba13667814d6b78352afe5dd751f
+      md5: 5bd2b183cccabe53846acc0bc36a701a
+      sha256: 9b30f449a8eb6e1e4a2b9ce8cf87d0348a92cad1a0df6819f458376dd2f2424d
     category: main
     optional: false
   - name: boto3
-    version: 1.33.9
+    version: 1.33.11
     manager: conda
     platform: osx-64
     dependencies:
       python: ">=3.7"
       jmespath: ">=0.7.1,<2.0.0"
       s3transfer: ">=0.8.2,<0.9.0"
-      botocore: ">=1.33.9,<1.34.0"
-    url: https://conda.anaconda.org/conda-forge/noarch/boto3-1.33.9-pyhd8ed1ab_0.conda
+      botocore: ">=1.33.11,<1.34.0"
+    url: https://conda.anaconda.org/conda-forge/noarch/boto3-1.33.11-pyhd8ed1ab_0.conda
     hash:
-      md5: 0bc87faa4f6ff6321c4cef9b57e82041
-      sha256: 685c90c40889cabc9bd03e67bd066546d019ba13667814d6b78352afe5dd751f
+      md5: 5bd2b183cccabe53846acc0bc36a701a
+      sha256: 9b30f449a8eb6e1e4a2b9ce8cf87d0348a92cad1a0df6819f458376dd2f2424d
     category: main
     optional: false
   - name: boto3
-    version: 1.33.9
+    version: 1.33.11
     manager: conda
     platform: osx-arm64
     dependencies:
       python: ">=3.7"
       jmespath: ">=0.7.1,<2.0.0"
       s3transfer: ">=0.8.2,<0.9.0"
-      botocore: ">=1.33.9,<1.34.0"
-    url: https://conda.anaconda.org/conda-forge/noarch/boto3-1.33.9-pyhd8ed1ab_0.conda
+      botocore: ">=1.33.11,<1.34.0"
+    url: https://conda.anaconda.org/conda-forge/noarch/boto3-1.33.11-pyhd8ed1ab_0.conda
     hash:
-      md5: 0bc87faa4f6ff6321c4cef9b57e82041
-      sha256: 685c90c40889cabc9bd03e67bd066546d019ba13667814d6b78352afe5dd751f
+      md5: 5bd2b183cccabe53846acc0bc36a701a
+      sha256: 9b30f449a8eb6e1e4a2b9ce8cf87d0348a92cad1a0df6819f458376dd2f2424d
     category: main
     optional: false
   - name: botocore
-    version: 1.33.9
+    version: 1.33.11
     manager: conda
     platform: linux-64
     dependencies:
@@ -1967,14 +1967,14 @@ package:
       python: ">=3.7"
       python-dateutil: ">=2.1,<3.0.0"
       urllib3: ">=1.25.4,<1.27"
-    url: https://conda.anaconda.org/conda-forge/noarch/botocore-1.33.9-pyhd8ed1ab_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/botocore-1.33.11-pyhd8ed1ab_0.conda
     hash:
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+    url: https://conda.anaconda.org/conda-forge/osx-64/tiledb-2.18.2-h9fe0a6a_0.conda
     hash:
-      md5: 53c2d2746f21a60d0c498c36fb32ec56
-      sha256: 9144ad40adb982107dd4f5084d1e488b216025eed91a3feeb3506ee4d5bc98dd
+      md5: 0615fdde1c114affe6a0250b9d342328
+      sha256: daccccc133c363360379e9efa525835cd20ed8ca12381641ccb1353c3d7c34c0
     category: main
     optional: false
   - name: tiledb
-    version: 2.16.3
+    version: 2.18.2
     manager: conda
     platform: osx-arm64
     dependencies:
+      __osx: ">=10.9"
       bzip2: ">=1.0.8,<2.0a0"
-      libabseil: ">=20230802.0,<20230803.0a0"
-      libcxx: ">=15.0.7"
+      libabseil: ">=20230802.1,<20230803.0a0"
+      libcxx: ">=16.0.6"
       libgoogle-cloud: ">=2.12.0,<2.13.0a0"
-      libxml2: ">=2.11.5,<2.12.0a0"
+      libxml2: ">=2.11.6,<2.12.0a0"
       libzlib: ">=1.2.13,<1.3.0a0"
       lz4-c: ">=1.9.3,<1.10.0a0"
-      openssl: ">=3.1.2,<4.0a0"
+      openssl: ">=3.2.0,<4.0a0"
       zstd: ">=1.5.5,<1.6.0a0"
-    url: https://conda.anaconda.org/conda-forge/osx-arm64/tiledb-2.16.3-he15c4da_3.conda
+    url: https://conda.anaconda.org/conda-forge/osx-arm64/tiledb-2.18.2-h555b8a3_0.conda
     hash:
-      md5: fcf3711dd1817fd6e8ab59be86aa8dd9
-      sha256: c2576bf0344b441f4c7d9212cfa68fe64de88dc9da735cb541c7faa0595d260f
+      md5: c223398e541fce9cfe1abe47df687909
+      sha256: da9227601b2bf5607fee33b62ed364561363f994ba41fd82e48d45a2f584210e
     category: main
     optional: false
   - name: timezonefinder
@@ -22187,75 +22184,75 @@ package:
     category: main
     optional: false
   - name: typing-extensions
-    version: 4.8.0
+    version: 4.9.0
     manager: conda
     platform: linux-64
     dependencies:
-      typing_extensions: 4.8.0
-    url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.8.0-hd8ed1ab_0.conda
+      typing_extensions: 4.9.0
+    url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.9.0-hd8ed1ab_0.conda
     hash:
-      md5: 384462e63262a527bda564fa2d9126c0
-      sha256: d6e1dddd0c372218ef15912383d351ac8c73465cbf16238017f0269813cafe2d
+      md5: c16524c1b7227dc80b36b4fa6f77cc86
+      sha256: d795c1eb1db4ea147f01ece74e5a504d7c2e8d5ee8c11ec987884967dd938f9c
     category: main
     optional: false
   - name: typing-extensions
-    version: 4.8.0
+    version: 4.9.0
     manager: conda
     platform: osx-64
     dependencies:
-      typing_extensions: 4.8.0
-    url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.8.0-hd8ed1ab_0.conda
+      typing_extensions: 4.9.0
+    url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.9.0-hd8ed1ab_0.conda
     hash:
-      md5: 384462e63262a527bda564fa2d9126c0
-      sha256: d6e1dddd0c372218ef15912383d351ac8c73465cbf16238017f0269813cafe2d
+      md5: c16524c1b7227dc80b36b4fa6f77cc86
+      sha256: d795c1eb1db4ea147f01ece74e5a504d7c2e8d5ee8c11ec987884967dd938f9c
     category: main
     optional: false
   - name: typing-extensions
-    version: 4.8.0
+    version: 4.9.0
     manager: conda
     platform: osx-arm64
     dependencies:
-      typing_extensions: 4.8.0
-    url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.8.0-hd8ed1ab_0.conda
+      typing_extensions: 4.9.0
+    url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.9.0-hd8ed1ab_0.conda
     hash:
-      md5: 384462e63262a527bda564fa2d9126c0
-      sha256: d6e1dddd0c372218ef15912383d351ac8c73465cbf16238017f0269813cafe2d
+      md5: c16524c1b7227dc80b36b4fa6f77cc86
+      sha256: d795c1eb1db4ea147f01ece74e5a504d7c2e8d5ee8c11ec987884967dd938f9c
     category: main
     optional: false
   - name: typing_extensions
-    version: 4.8.0
+    version: 4.9.0
     manager: conda
     platform: linux-64
     dependencies:
       python: ">=3.8"
-    url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.8.0-pyha770c72_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.9.0-pyha770c72_0.conda
     hash:
-      md5: 5b1be40a26d10a06f6d4f1f9e19fa0c7
-      sha256: 38d16b5c53ec1af845d37d22e7bb0e6c934c7f19499123507c5a470f6f8b7dde
+      md5: a92a6440c3fe7052d63244f3aba2a4a7
+      sha256: f3c5be8673bfd905c4665efcb27fa50192f24f84fa8eff2f19cba5d09753d905
     category: main
     optional: false
   - name: typing_extensions
-    version: 4.8.0
+    version: 4.9.0
     manager: conda
     platform: osx-64
     dependencies:
       python: ">=3.8"
-    url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.8.0-pyha770c72_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.9.0-pyha770c72_0.conda
     hash:
-      md5: 5b1be40a26d10a06f6d4f1f9e19fa0c7
-      sha256: 38d16b5c53ec1af845d37d22e7bb0e6c934c7f19499123507c5a470f6f8b7dde
+      md5: a92a6440c3fe7052d63244f3aba2a4a7
+      sha256: f3c5be8673bfd905c4665efcb27fa50192f24f84fa8eff2f19cba5d09753d905
     category: main
     optional: false
   - name: typing_extensions
-    version: 4.8.0
+    version: 4.9.0
     manager: conda
     platform: osx-arm64
     dependencies:
       python: ">=3.8"
-    url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.8.0-pyha770c72_0.conda
+    url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.9.0-pyha770c72_0.conda
     hash:
-      md5: 5b1be40a26d10a06f6d4f1f9e19fa0c7
-      sha256: 38d16b5c53ec1af845d37d22e7bb0e6c934c7f19499123507c5a470f6f8b7dde
+      md5: a92a6440c3fe7052d63244f3aba2a4a7
+      sha256: f3c5be8673bfd905c4665efcb27fa50192f24f84fa8eff2f19cba5d09753d905
     category: main
     optional: false
   - name: typing_inspect
diff --git a/environments/conda-osx-64.lock.yml b/environments/conda-osx-64.lock.yml
index b13e20814c..d9a3d57972 100644
--- a/environments/conda-osx-64.lock.yml
+++ b/environments/conda-osx-64.lock.yml
@@ -22,10 +22,10 @@ dependencies:
   - libbrotlicommon=1.1.0=h0dc2134_1
   - libcxx=16.0.6=hd57cbcb_0
   - libdeflate=1.19=ha4e1b8e_0
-  - libev=4.33=haf1e3a3_1
+  - libev=4.33=h10d778d_2
   - libexpat=2.5.0=hf0c8a7f_1
   - libffi=3.4.2=h0d85af4_5
-  - libiconv=1.17=hac89ed1_0
+  - libiconv=1.17=hd75f5a5_1
   - libjpeg-turbo=3.0.0=h0dc2134_1
   - libsodium=1.0.18=hbcb3906_1
   - libutf8proc=2.8.0=hb7f2c08_0
@@ -70,7 +70,7 @@ dependencies:
   - lz4-c=1.9.4=hf0c8a7f_0
   - ncurses=6.4=h93d8f39_2
   - nspr=4.35=hea0b92c_0
-  - openssl=3.1.4=hd75f5a5_0
+  - openssl=3.2.0=hd75f5a5_1
   - pandoc=3.1.3=h9d075a6_0
   - pcre2=10.42=h0ad2156_0
   - pixman=0.42.2=he965462_0
@@ -93,7 +93,7 @@ dependencies:
   - libglib=2.78.3=h198397b_0
   - libkml=1.3.0=hab3ca0e_1018
   - libllvm15=15.0.7=he4b1e75_3
-  - libnghttp2=1.58.0=h64cf6d3_0
+  - libnghttp2=1.58.0=h64cf6d3_1
   - libprotobuf=4.24.4=h0ee05dc_0
   - libre2-11=2023.06.02=h4694dbf_0
   - librttopo=1.1.0=hf05f67e_15
@@ -120,7 +120,7 @@ dependencies:
   - libwebp=1.3.2=h44782d1_1
   - openjpeg=2.5.0=ha4da562_3
   - orc=1.9.0=hd1092d7_4
-  - prettier=3.1.0=hbd11d21_0
+  - prettier=3.1.1=hbd11d21_0
   - python=3.11.6=h30d4d87_0_cpython
   - re2=2023.06.02=hd34609a_0
   - sqlite=3.44.2=h7461747_0
@@ -152,7 +152,7 @@ dependencies:
   - colorama=0.4.6=pyhd8ed1ab_0
   - crashtest=0.4.1=pyhd8ed1ab_0
   - cycler=0.12.1=pyhd8ed1ab_0
-  - dagster-pipes=1.5.10=pyhd8ed1ab_0
+  - dagster-pipes=1.5.11=pyhd8ed1ab_0
   - dataclasses=0.8=pyhc8e2a94_3
   - debugpy=1.8.0=py311hdf8f085_1
   - decorator=5.1.1=pyhd8ed1ab_0
@@ -169,7 +169,7 @@ dependencies:
   - frozenlist=1.4.0=py311h2725bcf_1
   - fsspec=2023.12.1=pyhca7485f_0
   - google-cloud-sdk=456.0.0=py311h6eed73b_0
-  - greenlet=3.0.1=py311hd39e593_0
+  - greenlet=3.0.2=py311hd39e593_0
   - hpack=4.0.0=pyh9f0ad1d_0
   - httptools=0.6.1=py311he705e18_0
   - humanfriendly=10.0=pyhd8ed1ab_6
@@ -187,10 +187,10 @@ dependencies:
   - jupyterlab_widgets=3.0.9=pyhd8ed1ab_0
   - kiwisolver=1.4.5=py311h5fe6e05_1
   - libblas=3.9.0=20_osx64_openblas
-  - libcurl=8.4.0=h726d00d_0
+  - libcurl=8.5.0=h726d00d_0
   - libgd=2.3.3=h0dceb68_9
   - libgrpc=1.59.2=ha7f534c_0
-  - libpq=16.1=h6dd4ff7_0
+  - libpq=16.1=ha925e61_7
   - llvmlite=0.41.1=py311hb5c2e0a_0
   - locket=1.0.0=pyhd8ed1ab_0
   - lxml=4.9.3=py311h719c1e2_2
@@ -270,7 +270,7 @@ dependencies:
   - traitlets=5.14.0=pyhd8ed1ab_0
   - types-python-dateutil=2.8.19.14=pyhd8ed1ab_0
   - types-pyyaml=6.0.12.12=pyhd8ed1ab_0
-  - typing_extensions=4.8.0=pyha770c72_0
+  - typing_extensions=4.9.0=pyha770c72_0
   - typing_utils=0.1.0=pyhd8ed1ab_0
   - unicodecsv=0.14.1=pyhd8ed1ab_2
   - uri-template=1.3.0=pyhd8ed1ab_0
@@ -300,7 +300,7 @@ dependencies:
   - bleach=6.1.0=pyhd8ed1ab_0
   - cached-property=1.5.2=hd8ed1ab_1
   - cffi=1.16.0=py311hc0b63fd_0
-  - cfitsio=4.3.0=h66f91ea_0
+  - cfitsio=4.3.1=h60fb419_0
   - click-default-group=1.2.4=pyhd8ed1ab_0
   - click-default-group-wheel=1.2.2=pyhd8ed1ab_0
   - click-plugins=1.1.1=py_0
@@ -309,7 +309,7 @@ dependencies:
   - coloredlogs=14.0=pyhd8ed1ab_3
   - comm=0.1.4=pyhd8ed1ab_0
   - coverage=7.3.2=py311h2725bcf_0
-  - curl=8.4.0=h726d00d_0
+  - curl=8.5.0=h726d00d_0
   - fonttools=4.46.0=py311he705e18_0
   - gitdb=4.0.11=pyhd8ed1ab_0
   - graphql-core=3.2.3=pyhd8ed1ab_0
@@ -317,9 +317,9 @@ dependencies:
   - h11=0.14.0=pyhd8ed1ab_0
   - h2=4.1.0=pyhd8ed1ab_0
   - harfbuzz=8.3.0=hf45c392_0
-  - hdf5=1.14.2=nompi_hedada53_100
+  - hdf5=1.14.3=nompi_h691f4bf_100
   - html5lib=1.1=pyh9f0ad1d_0
-  - hypothesis=6.91.0=pyha770c72_0
+  - hypothesis=6.92.0=pyha770c72_0
   - importlib-metadata=7.0.0=pyha770c72_0
   - importlib_resources=6.1.1=pyhd8ed1ab_0
   - isodate=0.6.1=pyhd8ed1ab_0
@@ -343,16 +343,16 @@ dependencies:
   - overrides=7.4.0=pyhd8ed1ab_0
   - partd=1.4.1=pyhd8ed1ab_0
   - pexpect=4.8.0=pyh1a96a4e_2
-  - pint=0.22=pyhd8ed1ab_1
+  - pint=0.23=pyhd8ed1ab_0
   - pip=23.3.1=pyhd8ed1ab_0
-  - poppler=23.11.0=hdd5a5e8_0
-  - postgresql=16.1=h413614c_0
+  - poppler=23.12.0=hdd5a5e8_0
+  - postgresql=16.1=h413614c_7
   - proj=9.3.0=h23b96cc_2
   - prompt-toolkit=3.0.41=pyha770c72_0
   - protobuf=4.24.4=py311h021eaf5_0
-  - psycopg2=2.9.7=py311h187f0af_1
+  - psycopg2=2.9.9=py311h187f0af_0
   - pyasn1-modules=0.3.0=pyhd8ed1ab_0
-  - pyobjc-core=10.0=py311hf110eff_0
+  - pyobjc-core=10.1=py311h9b70068_0
   - pyproject_hooks=1.0.0=pyhd8ed1ab_0
   - pytest=7.4.3=pyhd8ed1ab_0
   - python-dateutil=2.8.2=pyhd8ed1ab_0
@@ -367,7 +367,7 @@ dependencies:
   - terminado=0.18.0=pyh31c8845_0
   - tinycss2=1.2.1=pyhd8ed1ab_0
   - tqdm=4.66.1=pyhd8ed1ab_0
-  - typing-extensions=4.8.0=hd8ed1ab_0
+  - typing-extensions=4.9.0=hd8ed1ab_0
   - typing_inspect=0.9.0=pyhd8ed1ab_0
   - universal_pathlib=0.1.4=pyhd8ed1ab_0
   - urllib3=1.26.18=pyhd8ed1ab_0
@@ -382,7 +382,7 @@ dependencies:
   - arrow=1.3.0=pyhd8ed1ab_0
   - async-timeout=4.0.3=pyhd8ed1ab_0
   - aws-crt-cpp=0.24.7=hf3941dc_6
-  - botocore=1.33.9=pyhd8ed1ab_0
+  - botocore=1.33.11=pyhd8ed1ab_0
   - branca=0.7.0=pyhd8ed1ab_1
   - croniter=2.0.1=pyhd8ed1ab_0
   - cryptography=41.0.7=py311h48c7838_1
@@ -397,7 +397,7 @@ dependencies:
   - httpcore=1.0.2=pyhd8ed1ab_0
   - importlib_metadata=7.0.0=hd8ed1ab_0
   - jsonschema-specifications=2023.11.2=pyhd8ed1ab_0
-  - jupyter_server_terminals=0.4.4=pyhd8ed1ab_1
+  - jupyter_server_terminals=0.5.0=pyhd8ed1ab_0
   - kealib=1.5.2=h052fcf7_1
   - libnetcdf=4.9.2=nompi_h6a32802_112
   - libspatialite=5.1.0=hf63aa75_2
@@ -407,10 +407,10 @@ dependencies:
   - pbr=6.0.0=pyhd8ed1ab_0
   - pendulum=2.1.2=py311h2725bcf_6
   - prompt_toolkit=3.0.41=hd8ed1ab_0
-  - psycopg2-binary=2.9.7=pyhd8ed1ab_1
+  - psycopg2-binary=2.9.9=pyhd8ed1ab_0
   - pybtex=0.24.0=pyhd8ed1ab_2
   - pydantic-core=2.14.5=py311h5e0f0e4_0
-  - pyobjc-framework-cocoa=10.0=py311hf110eff_1
+  - pyobjc-framework-cocoa=10.1=py311h9b70068_0
   - pyproj=3.6.1=py311he36daed_4
   - pytest-console-scripts=1.4.1=pyhd8ed1ab_0
   - pytest-cov=4.1.0=pyhd8ed1ab_0
@@ -422,7 +422,7 @@ dependencies:
   - sqlalchemy=2.0.23=py311he705e18_0
   - stack_data=0.6.2=pyhd8ed1ab_0
   - starlette=0.33.0=pyhd8ed1ab_0
-  - tiledb=2.16.3=hd3a41d5_3
+  - tiledb=2.18.2=h9fe0a6a_0
   - ukkonen=1.0.1=py311h5fe6e05_4
   - uvicorn=0.24.0.post1=py311h6eed73b_0
   - watchfiles=0.21.0=py311h5e0f0e4_0
@@ -450,12 +450,12 @@ dependencies:
   - jsonschema=4.20.0=pyhd8ed1ab_0
   - jupyter_client=8.6.0=pyhd8ed1ab_0
   - keyring=24.3.0=py311h6eed73b_0
-  - libgdal=3.8.0=h5b0c7d5_6
+  - libgdal=3.8.1=h7bb8e92_2
   - librsvg=2.56.3=hec3db73_0
   - numba=0.58.1=py311h32f2313_0
   - numexpr=2.8.7=py311h1eadf79_4
   - oauthlib=3.2.2=pyhd8ed1ab_0
-  - pandas=2.1.3=py311h1eadf79_0
+  - pandas=2.1.4=py311h1eadf79_0
   - pybtex-docutils=1.0.3=py311h6eed73b_1
   - pydantic=2.5.2=pyhd8ed1ab_0
   - pyopenssl=23.3.0=pyhd8ed1ab_0
@@ -470,16 +470,16 @@ dependencies:
   - typeguard=4.1.5=pyhd8ed1ab_1
   - typer=0.9.0=pyhd8ed1ab_0
   - uvicorn-standard=0.24.0.post1=h6eed73b_0
-  - boto3=1.33.9=pyhd8ed1ab_0
+  - boto3=1.33.11=pyhd8ed1ab_0
   - cachecontrol-with-filecache=0.13.1=pyhd8ed1ab_0
-  - dagster=1.5.10=pyhd8ed1ab_0
+  - dagster=1.5.11=pyhd8ed1ab_0
   - datasette=0.64.4=pyhd8ed1ab_1
   - doc8=1.1.1=pyhd8ed1ab_0
   - email-validator=2.1.0.post1=pyhd8ed1ab_0
   - frictionless=4.40.8=pyh6c4a22f_0
-  - gdal=3.8.0=py311h5646c56_6
+  - gdal=3.8.1=py311h06f03dd_2
   - geopandas-base=0.14.1=pyha770c72_0
-  - google-auth=2.25.1=pyhca7485f_0
+  - google-auth=2.25.2=pyhca7485f_0
   - gql-with-requests=3.4.1=pyhd8ed1ab_0
   - graphviz=9.0.0=hee74176_1
   - ipykernel=6.26.0=pyh3cd1d5f_0
@@ -489,15 +489,15 @@ dependencies:
   - matplotlib-base=3.8.2=py311hd316c10_0
   - nbformat=5.9.2=pyhd8ed1ab_0
   - pandera-core=0.17.2=pyhd8ed1ab_1
-  - pre-commit=3.5.0=pyha770c72_0
+  - pre-commit=3.6.0=pyha770c72_0
   - pydantic-settings=2.1.0=pyhd8ed1ab_1
   - requests-oauthlib=1.3.1=pyhd8ed1ab_0
   - scikit-learn=1.3.2=py311h66081b9_2
   - timezonefinder=6.2.0=py311he705e18_2
   - catalystcoop.ferc_xbrl_extractor=1.3.1=pyhd8ed1ab_0
   - conda-lock=2.5.1=pyhd8ed1ab_0
-  - dagster-graphql=1.5.10=pyhd8ed1ab_0
-  - dagster-postgres=0.21.10=pyhd8ed1ab_0
+  - dagster-graphql=1.5.11=pyhd8ed1ab_0
+  - dagster-postgres=0.21.11=pyhd8ed1ab_0
   - fiona=1.9.5=py311h809632c_2
   - google-api-core=2.15.0=pyhd8ed1ab_0
   - google-auth-oauthlib=1.1.0=pyhd8ed1ab_0
@@ -513,7 +513,7 @@ dependencies:
   - qtconsole-base=5.5.1=pyha770c72_0
   - recordlinkage=0.16=pyhd8ed1ab_0
   - tabulator=1.53.5=pyhd8ed1ab_0
-  - dagster-webserver=1.5.10=pyhd8ed1ab_0
+  - dagster-webserver=1.5.11=pyhd8ed1ab_0
   - geopandas=0.14.1=pyhd8ed1ab_0
   - google-cloud-core=2.4.1=pyhd8ed1ab_0
   - libarrow-dataset=14.0.1=hc222712_3_cpu
diff --git a/environments/conda-osx-arm64.lock.yml b/environments/conda-osx-arm64.lock.yml
index 9f64382dfb..8637bccd2c 100644
--- a/environments/conda-osx-arm64.lock.yml
+++ b/environments/conda-osx-arm64.lock.yml
@@ -22,10 +22,10 @@ dependencies:
   - libbrotlicommon=1.1.0=hb547adb_1
   - libcxx=16.0.6=h4653b0c_0
   - libdeflate=1.19=hb547adb_0
-  - libev=4.33=h642e427_1
+  - libev=4.33=h93a5062_2
   - libexpat=2.5.0=hb7217d7_1
   - libffi=3.4.2=h3422bc3_5
-  - libiconv=1.17=he4db4b2_0
+  - libiconv=1.17=h0d3ecfb_1
   - libjpeg-turbo=3.0.0=hb547adb_1
   - libsodium=1.0.18=h27ca646_1
   - libutf8proc=2.8.0=h1a8c8d9_0
@@ -71,7 +71,7 @@ dependencies:
   - lz4-c=1.9.4=hb7217d7_0
   - ncurses=6.4=h463b476_2
   - nspr=4.35=hb7217d7_0
-  - openssl=3.1.4=h0d3ecfb_0
+  - openssl=3.2.0=h0d3ecfb_1
   - pcre2=10.42=h26f9a81_0
   - pixman=0.42.2=h13dd4ca_0
   - snappy=1.1.10=h17c5cce_0
@@ -93,7 +93,7 @@ dependencies:
   - libglib=2.78.3=hb438215_0
   - libkml=1.3.0=h1eb4d9f_1018
   - libllvm15=15.0.7=h504e6bf_3
-  - libnghttp2=1.58.0=ha4dd798_0
+  - libnghttp2=1.58.0=ha4dd798_1
   - libprotobuf=4.24.4=hc9861d8_0
   - libre2-11=2023.06.02=h1753957_0
   - librttopo=1.1.0=hc8f776e_15
@@ -120,7 +120,7 @@ dependencies:
   - libwebp=1.3.2=hf30222e_1
   - openjpeg=2.5.0=h4c1507b_3
   - orc=1.9.0=h7c018df_4
-  - prettier=3.1.0=hb67532b_0
+  - prettier=3.1.1=hb67532b_0
   - python=3.11.6=h47c9636_0_cpython
   - re2=2023.06.02=h6135d0a_0
   - sqlite=3.44.2=hf2abe2d_0
@@ -152,7 +152,7 @@ dependencies:
   - colorama=0.4.6=pyhd8ed1ab_0
   - crashtest=0.4.1=pyhd8ed1ab_0
   - cycler=0.12.1=pyhd8ed1ab_0
-  - dagster-pipes=1.5.10=pyhd8ed1ab_0
+  - dagster-pipes=1.5.11=pyhd8ed1ab_0
   - dataclasses=0.8=pyhc8e2a94_3
   - debugpy=1.8.0=py311ha891d26_1
   - decorator=5.1.1=pyhd8ed1ab_0
@@ -169,7 +169,7 @@ dependencies:
   - frozenlist=1.4.0=py311heffc1b2_1
   - fsspec=2023.12.1=pyhca7485f_0
   - google-cloud-sdk=456.0.0=py311h267d04e_0
-  - greenlet=3.0.1=py311hbaf5611_0
+  - greenlet=3.0.2=py311hbaf5611_0
   - hpack=4.0.0=pyh9f0ad1d_0
   - httptools=0.6.1=py311h05b510d_0
   - humanfriendly=10.0=pyhd8ed1ab_6
@@ -187,10 +187,10 @@ dependencies:
   - jupyterlab_widgets=3.0.9=pyhd8ed1ab_0
   - kiwisolver=1.4.5=py311he4fd1f5_1
   - libblas=3.9.0=20_osxarm64_openblas
-  - libcurl=8.4.0=h2d989ff_0
+  - libcurl=8.5.0=h2d989ff_0
   - libgd=2.3.3=hfdf3952_9
   - libgrpc=1.59.2=hbcf6334_0
-  - libpq=16.1=hd435d45_0
+  - libpq=16.1=h0f8b458_7
   - llvmlite=0.41.1=py311hf5d242d_0
   - locket=1.0.0=pyhd8ed1ab_0
   - lxml=4.9.3=py311hdef8331_2
@@ -270,7 +270,7 @@ dependencies:
   - traitlets=5.14.0=pyhd8ed1ab_0
   - types-python-dateutil=2.8.19.14=pyhd8ed1ab_0
   - types-pyyaml=6.0.12.12=pyhd8ed1ab_0
-  - typing_extensions=4.8.0=pyha770c72_0
+  - typing_extensions=4.9.0=pyha770c72_0
   - typing_utils=0.1.0=pyhd8ed1ab_0
   - unicodecsv=0.14.1=pyhd8ed1ab_2
   - uri-template=1.3.0=pyhd8ed1ab_0
@@ -300,7 +300,7 @@ dependencies:
   - bleach=6.1.0=pyhd8ed1ab_0
   - cached-property=1.5.2=hd8ed1ab_1
   - cffi=1.16.0=py311h4a08483_0
-  - cfitsio=4.3.0=hca87796_0
+  - cfitsio=4.3.1=h808cd33_0
   - click-default-group=1.2.4=pyhd8ed1ab_0
   - click-default-group-wheel=1.2.2=pyhd8ed1ab_0
   - click-plugins=1.1.1=py_0
@@ -309,7 +309,7 @@ dependencies:
   - coloredlogs=14.0=pyhd8ed1ab_3
   - comm=0.1.4=pyhd8ed1ab_0
   - coverage=7.3.2=py311heffc1b2_0
-  - curl=8.4.0=h2d989ff_0
+  - curl=8.5.0=h2d989ff_0
   - fonttools=4.46.0=py311h05b510d_0
   - gitdb=4.0.11=pyhd8ed1ab_0
   - graphql-core=3.2.3=pyhd8ed1ab_0
@@ -317,9 +317,9 @@ dependencies:
   - h11=0.14.0=pyhd8ed1ab_0
   - h2=4.1.0=pyhd8ed1ab_0
   - harfbuzz=8.3.0=h8f0ba13_0
-  - hdf5=1.14.2=nompi_h3aba7b3_100
+  - hdf5=1.14.3=nompi_h5bb55e9_100
   - html5lib=1.1=pyh9f0ad1d_0
-  - hypothesis=6.91.0=pyha770c72_0
+  - hypothesis=6.92.0=pyha770c72_0
   - importlib-metadata=7.0.0=pyha770c72_0
   - importlib_resources=6.1.1=pyhd8ed1ab_0
   - isodate=0.6.1=pyhd8ed1ab_0
@@ -343,16 +343,16 @@ dependencies:
   - overrides=7.4.0=pyhd8ed1ab_0
   - partd=1.4.1=pyhd8ed1ab_0
   - pexpect=4.8.0=pyh1a96a4e_2
-  - pint=0.22=pyhd8ed1ab_1
+  - pint=0.23=pyhd8ed1ab_0
   - pip=23.3.1=pyhd8ed1ab_0
-  - poppler=23.11.0=hcdd998b_0
-  - postgresql=16.1=hc6ab77f_0
+  - poppler=23.12.0=hcdd998b_0
+  - postgresql=16.1=hc6ab77f_7
   - proj=9.3.0=h52fb9d0_2
   - prompt-toolkit=3.0.41=pyha770c72_0
   - protobuf=4.24.4=py311h4d1eceb_0
-  - psycopg2=2.9.7=py311h589e011_1
+  - psycopg2=2.9.9=py311h589e011_0
   - pyasn1-modules=0.3.0=pyhd8ed1ab_0
-  - pyobjc-core=10.0=py311hb702dc4_0
+  - pyobjc-core=10.1=py311h665608e_0
   - pyproject_hooks=1.0.0=pyhd8ed1ab_0
   - pytest=7.4.3=pyhd8ed1ab_0
   - python-dateutil=2.8.2=pyhd8ed1ab_0
@@ -367,7 +367,7 @@ dependencies:
   - terminado=0.18.0=pyh31c8845_0
   - tinycss2=1.2.1=pyhd8ed1ab_0
   - tqdm=4.66.1=pyhd8ed1ab_0
-  - typing-extensions=4.8.0=hd8ed1ab_0
+  - typing-extensions=4.9.0=hd8ed1ab_0
   - typing_inspect=0.9.0=pyhd8ed1ab_0
   - universal_pathlib=0.1.4=pyhd8ed1ab_0
   - urllib3=1.26.18=pyhd8ed1ab_0
@@ -382,7 +382,7 @@ dependencies:
   - arrow=1.3.0=pyhd8ed1ab_0
   - async-timeout=4.0.3=pyhd8ed1ab_0
   - aws-crt-cpp=0.24.7=hba4ac3b_6
-  - botocore=1.33.9=pyhd8ed1ab_0
+  - botocore=1.33.11=pyhd8ed1ab_0
   - branca=0.7.0=pyhd8ed1ab_1
   - croniter=2.0.1=pyhd8ed1ab_0
   - cryptography=41.0.7=py311h08c85a6_1
@@ -397,7 +397,7 @@ dependencies:
   - httpcore=1.0.2=pyhd8ed1ab_0
   - importlib_metadata=7.0.0=hd8ed1ab_0
   - jsonschema-specifications=2023.11.2=pyhd8ed1ab_0
-  - jupyter_server_terminals=0.4.4=pyhd8ed1ab_1
+  - jupyter_server_terminals=0.5.0=pyhd8ed1ab_0
   - kealib=1.5.2=h47b5e36_1
   - libnetcdf=4.9.2=nompi_hb2fb864_112
   - libspatialite=5.1.0=h66af7d6_2
@@ -407,10 +407,10 @@ dependencies:
   - pbr=6.0.0=pyhd8ed1ab_0
   - pendulum=2.1.2=py311heffc1b2_6
   - prompt_toolkit=3.0.41=hd8ed1ab_0
-  - psycopg2-binary=2.9.7=pyhd8ed1ab_1
+  - psycopg2-binary=2.9.9=pyhd8ed1ab_0
   - pybtex=0.24.0=pyhd8ed1ab_2
   - pydantic-core=2.14.5=py311h94f323b_0
-  - pyobjc-framework-cocoa=10.0=py311hb702dc4_1
+  - pyobjc-framework-cocoa=10.1=py311h665608e_0
   - pyproj=3.6.1=py311h20a9b75_4
   - pytest-console-scripts=1.4.1=pyhd8ed1ab_0
   - pytest-cov=4.1.0=pyhd8ed1ab_0
@@ -422,7 +422,7 @@ dependencies:
   - sqlalchemy=2.0.23=py311h05b510d_0
   - stack_data=0.6.2=pyhd8ed1ab_0
   - starlette=0.33.0=pyhd8ed1ab_0
-  - tiledb=2.16.3=he15c4da_3
+  - tiledb=2.18.2=h555b8a3_0
   - ukkonen=1.0.1=py311he4fd1f5_4
   - uvicorn=0.24.0.post1=py311h267d04e_0
   - watchfiles=0.21.0=py311h94f323b_0
@@ -450,12 +450,12 @@ dependencies:
   - jsonschema=4.20.0=pyhd8ed1ab_0
   - jupyter_client=8.6.0=pyhd8ed1ab_0
   - keyring=24.3.0=py311h267d04e_0
-  - libgdal=3.8.0=h76f3012_6
+  - libgdal=3.8.1=h1ac08d9_2
   - librsvg=2.56.3=h0db3404_0
   - numba=0.58.1=py311h9ec4793_0
   - numexpr=2.8.7=py311h6e08293_4
   - oauthlib=3.2.2=pyhd8ed1ab_0
-  - pandas=2.1.3=py311h6e08293_0
+  - pandas=2.1.4=py311h6e08293_0
   - pybtex-docutils=1.0.3=py311h267d04e_1
   - pydantic=2.5.2=pyhd8ed1ab_0
   - pyopenssl=23.3.0=pyhd8ed1ab_0
@@ -470,16 +470,16 @@ dependencies:
   - typeguard=4.1.5=pyhd8ed1ab_1
   - typer=0.9.0=pyhd8ed1ab_0
   - uvicorn-standard=0.24.0.post1=ha1ab1f8_0
-  - boto3=1.33.9=pyhd8ed1ab_0
+  - boto3=1.33.11=pyhd8ed1ab_0
   - cachecontrol-with-filecache=0.13.1=pyhd8ed1ab_0
-  - dagster=1.5.10=pyhd8ed1ab_0
+  - dagster=1.5.11=pyhd8ed1ab_0
   - datasette=0.64.4=pyhd8ed1ab_1
   - doc8=1.1.1=pyhd8ed1ab_0
   - email-validator=2.1.0.post1=pyhd8ed1ab_0
   - frictionless=4.40.8=pyh6c4a22f_0
-  - gdal=3.8.0=py311h32a4f3d_6
+  - gdal=3.8.1=py311hff5d751_2
   - geopandas-base=0.14.1=pyha770c72_0
-  - google-auth=2.25.1=pyhca7485f_0
+  - google-auth=2.25.2=pyhca7485f_0
   - gql-with-requests=3.4.1=pyhd8ed1ab_0
   - graphviz=9.0.0=h3face73_1
   - ipykernel=6.26.0=pyh3cd1d5f_0
@@ -489,15 +489,15 @@ dependencies:
   - matplotlib-base=3.8.2=py311hfdba5f6_0
   - nbformat=5.9.2=pyhd8ed1ab_0
   - pandera-core=0.17.2=pyhd8ed1ab_1
-  - pre-commit=3.5.0=pyha770c72_0
+  - pre-commit=3.6.0=pyha770c72_0
   - pydantic-settings=2.1.0=pyhd8ed1ab_1
   - requests-oauthlib=1.3.1=pyhd8ed1ab_0
   - scikit-learn=1.3.2=py311ha25ca4d_2
   - timezonefinder=6.2.0=py311h05b510d_2
   - catalystcoop.ferc_xbrl_extractor=1.3.1=pyhd8ed1ab_0
   - conda-lock=2.5.1=pyhd8ed1ab_0
-  - dagster-graphql=1.5.10=pyhd8ed1ab_0
-  - dagster-postgres=0.21.10=pyhd8ed1ab_0
+  - dagster-graphql=1.5.11=pyhd8ed1ab_0
+  - dagster-postgres=0.21.11=pyhd8ed1ab_0
   - fiona=1.9.5=py311h4760b73_2
   - google-api-core=2.15.0=pyhd8ed1ab_0
   - google-auth-oauthlib=1.1.0=pyhd8ed1ab_0
@@ -513,7 +513,7 @@ dependencies:
   - qtconsole-base=5.5.1=pyha770c72_0
   - recordlinkage=0.16=pyhd8ed1ab_0
   - tabulator=1.53.5=pyhd8ed1ab_0
-  - dagster-webserver=1.5.10=pyhd8ed1ab_0
+  - dagster-webserver=1.5.11=pyhd8ed1ab_0
   - geopandas=0.14.1=pyhd8ed1ab_0
   - google-cloud-core=2.4.1=pyhd8ed1ab_0
   - libarrow-dataset=14.0.1=had9dd58_3_cpu
diff --git a/src/pudl/etl/__init__.py b/src/pudl/etl/__init__.py
index 9d0d1cc06e..377c3634cf 100644
--- a/src/pudl/etl/__init__.py
+++ b/src/pudl/etl/__init__.py
@@ -92,6 +92,23 @@
     "epacems_io_manager": epacems_io_manager,
 }
 
+# By default, limit CEMS year processing concurrency to prevent memory overload.
+default_config = {
+    "execution": {
+        "config": {
+            "multiprocess": {
+                "tag_concurrency_limits": [
+                    {
+                        "key": "datasource",
+                        "value": "epacems",
+                        "limit": 2,
+                    }
+                ],
+            },
+        }
+    }
+}
+
 
 def create_non_cems_selection(all_assets: list[AssetsDefinition]) -> AssetSelection:
     """Create a selection of assets excluding CEMS and all downstream assets.
@@ -131,7 +148,9 @@ def load_dataset_settings_from_file(setting_filename: str) -> dict:
     resources=default_resources,
     jobs=[
         define_asset_job(
-            name="etl_full", description="This job executes all years of all assets."
+            name="etl_full",
+            description="This job executes all years of all assets.",
+            config=default_config,
         ),
         define_asset_job(
             name="etl_full_no_cems",
@@ -141,7 +160,8 @@ def load_dataset_settings_from_file(setting_filename: str) -> dict:
         ),
         define_asset_job(
             name="etl_fast",
-            config={
+            config=default_config
+            | {
                 "resources": {
                     "dataset_settings": {
                         "config": load_dataset_settings_from_file("etl_fast")
diff --git a/src/pudl/etl/epacems_assets.py b/src/pudl/etl/epacems_assets.py
index 9b66e29531..603ac37fb3 100644
--- a/src/pudl/etl/epacems_assets.py
+++ b/src/pudl/etl/epacems_assets.py
@@ -17,13 +17,15 @@
 from dagster import AssetIn, DynamicOut, DynamicOutput, asset, graph_asset, op
 
 import pudl
+from pudl.extract.epacems import EpaCemsPartition
 from pudl.metadata.classes import Resource
+from pudl.metadata.enums import EPACEMS_STATES
 from pudl.workspace.setup import PudlPaths
 
 logger = pudl.logging_helpers.get_logger(__name__)
 
 
-YearPartitions = namedtuple("YearPartitions", ["year", "states"])
+YearPartitions = namedtuple("YearPartitions", ["year_quarters"])
 
 
 @op(
@@ -37,11 +39,17 @@ def get_years_from_settings(context):
     parallel.
     """
     epacems_settings = context.resources.dataset_settings.epacems
-    for year in epacems_settings.years:
+    years = {
+        EpaCemsPartition(year_quarter=yq).year for yq in epacems_settings.year_quarters
+    }
+    for year in years:
         yield DynamicOutput(year, mapping_key=str(year))
 
 
-@op(required_resource_keys={"datastore", "dataset_settings"})
+@op(
+    required_resource_keys={"datastore", "dataset_settings"},
+    tags={"datasource": "epacems"},
+)
 def process_single_year(
     context,
     year,
@@ -64,23 +72,29 @@ def process_single_year(
     partitioned_path = PudlPaths().output_dir / "hourly_emissions_epacems"
     partitioned_path.mkdir(exist_ok=True)
 
-    for state in epacems_settings.states:
-        logger.info(f"Processing EPA CEMS hourly data for {year}-{state}")
-        df = pudl.extract.epacems.extract(year=year, state=state, ds=ds)
+    year_quarters_in_year = {
+        yq
+        for yq in epacems_settings.year_quarters
+        if EpaCemsPartition(year_quarter=yq).year == year
+    }
+
+    for year_quarter in year_quarters_in_year:
+        logger.info(f"Processing EPA CEMS hourly data for {year_quarter}")
+        df = pudl.extract.epacems.extract(year_quarter=year_quarter, ds=ds)
         if not df.empty:  # If state-year combination has data
             df = pudl.transform.epacems.transform(df, epacamd_eia, plants_entity_eia)
         table = pa.Table.from_pandas(df, schema=schema, preserve_index=False)
 
         # Write to a directory of partitioned parquet files
         with pq.ParquetWriter(
-            where=partitioned_path / f"epacems-{year}-{state}.parquet",
+            where=partitioned_path / f"epacems-{year_quarter}.parquet",
             schema=schema,
             compression="snappy",
             version="2.6",
         ) as partitioned_writer:
             partitioned_writer.write_table(table)
 
-    return YearPartitions(year, epacems_settings.states)
+    return YearPartitions(year_quarters_in_year)
 
 
 @op
@@ -98,12 +112,21 @@ def consolidate_partitions(context, partitions: list[YearPartitions]) -> None:
     with pq.ParquetWriter(
         where=monolithic_path, schema=schema, compression="snappy", version="2.6"
     ) as monolithic_writer:
-        for year, states in partitions:
-            for state in states:
+        for year_partition in partitions:
+            for state in EPACEMS_STATES:
                 monolithic_writer.write_table(
-                    pq.read_table(
-                        source=partitioned_path / f"epacems-{year}-{state}.parquet",
-                        schema=schema,
+                    # Concat a slice of each state's data from all quarters in a year
+                    # and write to parquet to create year-state row groups
+                    pa.concat_tables(
+                        [
+                            pq.read_table(
+                                source=partitioned_path
+                                / f"epacems-{year_quarter}.parquet",
+                                filters=[[("state", "=", state.upper())]],
+                                schema=schema,
+                            )
+                            for year_quarter in year_partition.year_quarters
+                        ]
                     )
                 )
 
diff --git a/src/pudl/etl/static_assets.py b/src/pudl/etl/static_assets.py
index 9d21e649b7..ee64f34dc5 100644
--- a/src/pudl/etl/static_assets.py
+++ b/src/pudl/etl/static_assets.py
@@ -12,7 +12,7 @@
 
 
 def _read_static_encoding_tables(
-    etl_group: Literal["static_eia", "static_ferc1"]
+    etl_group: Literal["static_eia", "static_ferc1"],
 ) -> dict[str, pd.DataFrame]:
     """Build dataframes of static tables from a data source for use as foreign keys.
 
diff --git a/src/pudl/extract/epacems.py b/src/pudl/extract/epacems.py
index 8e60dfd159..312bb454eb 100644
--- a/src/pudl/extract/epacems.py
+++ b/src/pudl/extract/epacems.py
@@ -20,9 +20,10 @@
 during the transform process with help from the crosswalk.
 """
 from pathlib import Path
-from typing import NamedTuple
+from typing import Annotated
 
 import pandas as pd
+from pydantic import BaseModel, StringConstraints
 
 import pudl.logging_helpers
 from pudl.metadata.classes import Resource
@@ -97,32 +98,35 @@
 """Set: The set of EPA CEMS columns to ignore when reading data."""
 
 
-class EpaCemsPartition(NamedTuple):
+class EpaCemsPartition(BaseModel):
     """Represents EpaCems partition identifying unique resource file."""
 
-    year: str
-    state: str
+    year_quarter: Annotated[
+        str, StringConstraints(strict=True, pattern=r"^(19|20)\d{2}[q][1-4]$")
+    ]
 
-    def get_key(self):
-        """Returns hashable key for use with EpaCemsDatastore."""
-        return (self.year, self.state.lower())
+    @property
+    def year(self):
+        """Return the year associated with the year_quarter."""
+        return pd.to_datetime(self.year_quarter).year
 
     def get_filters(self):
         """Returns filters for retrieving given partition resource from Datastore."""
-        return {"year": self.year, "state": self.state.lower()}
+        return {"year_quarter": self.year_quarter}
 
-    def get_annual_file(self) -> Path:
+    def get_quarterly_file(self) -> Path:
         """Return the name of the CSV file that holds annual hourly data."""
-        return Path(f"epacems-{self.year}-{self.state.lower()}.csv")
+        return Path(
+            f"epacems-{self.year}-{pd.to_datetime(self.year_quarter).quarter}.csv"
+        )
 
 
 class EpaCemsDatastore:
     """Helper class to extract EpaCems resources from datastore.
 
-    EpaCems resources are identified by a year and a state. Each of these zip files
-    contain monthly zip files that in turn contain csv files. This class implements
-    get_data_frame method that will concatenate tables for a given state and month
-    across all months.
+    EpaCems resources are identified by a year and a quarter. Each of these zip files
+    contains one csv file. This class implements get_data_frame method that will
+    rename columns for a quarterly CSV file.
     """
 
     def __init__(self, datastore: Datastore):
@@ -130,23 +134,16 @@ def __init__(self, datastore: Datastore):
         self.datastore = datastore
 
     def get_data_frame(self, partition: EpaCemsPartition) -> pd.DataFrame:
-        """Constructs dataframe from a zipfile for a given (year, state) partition."""
+        """Constructs dataframe from a zipfile for a given (year_quarter) partition."""
         archive = self.datastore.get_zipfile_resource(
             "epacems", **partition.get_filters()
         )
 
-        # Get names of files in zip file
-        files = self.datastore.get_zipfile_file_names(archive)
-
-        # If archive has one csv file in it, this is a yearly CSV (archived after 08/23)
-        # and this CSV does not need to be concatenated.
-        if len(files) == 1 and files[0].endswith(".csv"):
-            with archive.open(str(partition.get_annual_file()), "r") as csv_file:
-                df = self._csv_to_dataframe(
-                    csv_file, ignore_cols=API_IGNORE_COLS, rename_dict=API_RENAME_DICT
-                )
-            return df
-        raise AssertionError(f"Unexpected archive format. Found files: {files}.")
+        with archive.open(str(partition.get_quarterly_file()), "r") as csv_file:
+            df = self._csv_to_dataframe(
+                csv_file, ignore_cols=API_IGNORE_COLS, rename_dict=API_RENAME_DICT
+            )
+        return df
 
     def _csv_to_dataframe(
         self, csv_file: Path, ignore_cols: dict[str, str], rename_dict: dict[str, str]
@@ -167,25 +164,24 @@ def _csv_to_dataframe(
         ).rename(columns=rename_dict)
 
 
-def extract(year: int, state: str, ds: Datastore):
+def extract(year_quarter: str, ds: Datastore) -> pd.DataFrame:
     """Coordinate the extraction of EPA CEMS hourly DataFrames.
 
     Args:
-        year: report year of the data to extract
-        state: report state of the data to extract
+        year_quarter: report year and quarter of the data to extract
         ds: Initialized datastore
     Yields:
-        pandas.DataFrame: A single state-year of EPA CEMS hourly emissions data.
+        A single quarter of EPA CEMS hourly emissions data.
     """
     ds = EpaCemsDatastore(ds)
-    partition = EpaCemsPartition(state=state, year=year)
+    partition = EpaCemsPartition(year_quarter=year_quarter)
+    year = partition.year
     # We have to assign the reporting year for partitioning purposes
     try:
         df = ds.get_data_frame(partition).assign(year=year)
-    except KeyError:  # If no state-year combination found, return empty df.
-        logger.warning(
-            f"No data found for {state} in {year}. Returning empty dataframe."
-        )
+    # If the requested quarter is not found, return an empty df with expected columns:
+    except KeyError:
+        logger.warning(f"No data found for {year_quarter}. Returning empty dataframe.")
         res = Resource.from_id("hourly_emissions_epacems")
         df = res.format_df(pd.DataFrame())
     return df
diff --git a/src/pudl/extract/ferc714.py b/src/pudl/extract/ferc714.py
index 9e6c8ac6d7..b442bec6cb 100644
--- a/src/pudl/extract/ferc714.py
+++ b/src/pudl/extract/ferc714.py
@@ -2,7 +2,7 @@
 from collections import OrderedDict
 
 import pandas as pd
-from dagster import AssetOut, Output, multi_asset
+from dagster import AssetsDefinition, asset
 
 import pudl
 
@@ -63,40 +63,40 @@
 """Dictionary mapping PUDL tables to FERC-714 filenames and character encodings."""
 
 
-@multi_asset(
-    outs={"raw_ferc714__" + table_name: AssetOut() for table_name in FERC714_FILES},
-    required_resource_keys={"datastore", "dataset_settings"},
-)
-def extract_ferc714(context):
-    """Extract the raw FERC Form 714 dataframes from their original CSV files.
+def generate_raw_ferc714_asset(table_name: str) -> AssetsDefinition:
+    """Generates an asset for building the raw FERC 714 dataframe."""
+    assert table_name in FERC714_FILES
 
-    Args:
-        context: dagster keyword that provides access to resources and config.
+    @asset(
+        name=f"raw_ferc714__{table_name}",
+        required_resource_keys={"datastore", "dataset_settings"},
+    )
+    def _extract_raw_ferc714(context):
+        """Extract the raw FERC Form 714 dataframes from their original CSV files.
 
-    Returns:
-        A tuple of extracted FERC-714 dataframes.
-    """
-    ds = context.resources.datastore
-    ferc714_settings = context.resources.dataset_settings.ferc714
-    years = ", ".join(map(str, ferc714_settings.years))
+        Args:
+            context: dagster keyword that provides access to resources and config.
+        """
+        ds = context.resources.datastore
+        ferc714_settings = context.resources.dataset_settings.ferc714
+        years = ", ".join(map(str, ferc714_settings.years))
 
-    raw_dfs: OrderedDict[str, pd.DataFrame] = OrderedDict({})
-    for table_name in FERC714_FILES:
         logger.info(
             f"Extracting {table_name} from CSV into pandas DataFrame (years: {years})."
         )
-        with ds.get_zipfile_resource("ferc714", name="ferc714.zip").open(
-            FERC714_FILES[table_name]["name"]
-        ) as f:
-            raw_dfs[table_name] = pd.read_csv(
-                f, encoding=FERC714_FILES[table_name]["encoding"]
-            )
+        df = pd.read_csv(
+            ds.get_zipfile_resource("ferc714", name="ferc714.zip").open(
+                FERC714_FILES[table_name]["name"]
+            ),
+            encoding=FERC714_FILES[table_name]["encoding"],
+        )
         if table_name != "respondent_id":
-            raw_dfs[table_name] = raw_dfs[table_name].query(
-                "report_yr in @ferc714_settings.years"
-            )
+            df = df.query("report_yr in @ferc714_settings.years")
+        return df
 
-    return (
-        Output(output_name="raw_ferc714__" + table_name, value=df)
-        for table_name, df in raw_dfs.items()
-    )
+    return _extract_raw_ferc714
+
+
+raw_ferc714_assets = [
+    generate_raw_ferc714_asset(table_name) for table_name in FERC714_FILES
+]
diff --git a/src/pudl/metadata/helpers.py b/src/pudl/metadata/helpers.py
index 23b2003fa7..68e4c3c256 100644
--- a/src/pudl/metadata/helpers.py
+++ b/src/pudl/metadata/helpers.py
@@ -87,7 +87,7 @@ def _parse_foreign_key_rule(rule: dict, name: str, key: list[str]) -> list[dict]
 
 
 def _build_foreign_key_tree(
-    resources: dict[str, dict]
+    resources: dict[str, dict],
 ) -> dict[str, dict[tuple[str, ...], dict]]:
     """Build foreign key tree.
 
diff --git a/src/pudl/metadata/sources.py b/src/pudl/metadata/sources.py
index f941b6a6e6..11f8fcc1d6 100644
--- a/src/pudl/metadata/sources.py
+++ b/src/pudl/metadata/sources.py
@@ -1,8 +1,9 @@
 """Metadata and operational constants."""
 from typing import Any
 
+import pandas as pd
+
 from pudl.metadata.constants import CONTRIBUTORS, KEYWORDS, LICENSES
-from pudl.metadata.enums import EPACEMS_STATES
 
 SOURCES: dict[str, Any] = {
     "censusdp1tract": {
@@ -272,8 +273,10 @@
         },
         "field_namespace": "epacems",
         "working_partitions": {
-            "years": sorted(set(range(1995, 2023))),
-            "states": sorted(EPACEMS_STATES),
+            "year_quarters": [
+                str(q).lower()
+                for q in pd.period_range(start="1995q1", end="2023q3", freq="Q")
+            ]
         },
         "contributors": [
             CONTRIBUTORS["catalyst-cooperative"],
diff --git a/src/pudl/output/epacems.py b/src/pudl/output/epacems.py
index 564c2fadc1..0d063761e7 100644
--- a/src/pudl/output/epacems.py
+++ b/src/pudl/output/epacems.py
@@ -5,7 +5,6 @@
 
 import dask.dataframe as dd
 
-from pudl.settings import EpaCemsSettings
 from pudl.workspace.setup import PudlPaths
 
 
@@ -123,10 +122,9 @@ def epacems(
             from :mod:`pudl.workspace`
 
     Returns:
-        The requested epacems data
+        The requested epacems data. If requested states or years are not available, no
+        error will be raised.
     """
-    epacems_settings = EpaCemsSettings(states=states, years=years)
-
     # columns=None is handled by dd.read_parquet; gives all columns
     if columns is not None:
         # nonexistent columns are handled by dd.read_parquet; raises ValueError
@@ -142,8 +140,8 @@ def epacems(
         index=False,
         split_row_groups=True,
         filters=year_state_filter(
-            states=epacems_settings.states,
-            years=epacems_settings.years,
+            states=states,
+            years=years,
         ),
     )
     return epacems
diff --git a/src/pudl/package_data/settings/etl_fast.yml b/src/pudl/package_data/settings/etl_fast.yml
index 59b1cb928a..a70bfc3180 100644
--- a/src/pudl/package_data/settings/etl_fast.yml
+++ b/src/pudl/package_data/settings/etl_fast.yml
@@ -75,5 +75,4 @@ datasets:
     # Note that the CEMS data relies on EIA 860 data for plant locations,
     # so if you're loading CEMS data for a particular year, you should
     # also load the EIA 860 data for that year if possible
-    states: [ID, ME]
-    years: [2020, 2022]
+    year_quarters: ["2022q1"]
diff --git a/src/pudl/package_data/settings/etl_full.yml b/src/pudl/package_data/settings/etl_full.yml
index 8e4e7a1630..a6fd0454ac 100644
--- a/src/pudl/package_data/settings/etl_full.yml
+++ b/src/pudl/package_data/settings/etl_full.yml
@@ -270,35 +270,4 @@ datasets:
     # Note that the CEMS data relies on EIA 860 data for plant locations,
     # so if you're loading CEMS data for a particular year, you should
     # also load the EIA 860 data for that year if possible
-    states: [all]
-    years:
-      [
-        1995,
-        1996,
-        1997,
-        1998,
-        1999,
-        2000,
-        2001,
-        2002,
-        2003,
-        2004,
-        2005,
-        2006,
-        2007,
-        2008,
-        2009,
-        2010,
-        2011,
-        2012,
-        2013,
-        2014,
-        2015,
-        2016,
-        2017,
-        2018,
-        2019,
-        2020,
-        2021,
-        2022,
-      ]
+    year_quarters: ["all"]
diff --git a/src/pudl/settings.py b/src/pudl/settings.py
index 6c5205e03b..78dc76ea43 100644
--- a/src/pudl/settings.py
+++ b/src/pudl/settings.py
@@ -1,5 +1,4 @@
 """Module for validating pudl etl settings."""
-import itertools
 import json
 from enum import Enum, unique
 from typing import Any, ClassVar, Self
@@ -96,11 +95,8 @@ def partitions(cls) -> list[None | dict[str, str]]:  # noqa: N805
         ``pd.json_normalize``.
         """
         partitions = []
-        if hasattr(cls, "years") and hasattr(cls, "states"):
-            partitions = [
-                {"year": year, "state": state}
-                for year, state in itertools.product(cls.years, cls.states)
-            ]
+        if hasattr(cls, "year_quarters"):
+            partitions = [{"year_quarters": part} for part in cls.year_quarters]
         elif hasattr(cls, "years"):
             partitions = [{"year": part} for part in cls.years]
         return partitions
@@ -149,24 +145,19 @@ class EpaCemsSettings(GenericDatasetSettings):
 
     Args:
         data_source: DataSource metadata object
-        years: list of years to validate.
-        states: list of states to validate.
-        partition: Whether to output year-state partitioned Parquet files. If True,
-            all available threads / CPUs will be used in parallel.
+        year_quarters: list of year_quarters to validate.
     """
 
     data_source: ClassVar[DataSource] = DataSource.from_id("epacems")
+    year_quarters: list[str] = data_source.working_partitions["year_quarters"]
 
-    years: list[int] = data_source.working_partitions["years"]
-    states: list[str] = data_source.working_partitions["states"]
-
-    @field_validator("states")
+    @field_validator("year_quarters")
     @classmethod
-    def allow_all_keyword(cls, states):  # noqa: N805
-        """Allow users to specify ['all'] to get all states."""
-        if states == ["all"]:
-            states = cls.data_source.working_partitions["states"]
-        return states
+    def allow_all_keyword_year_quarters(cls, year_quarters):
+        """Allow users to specify ['all'] to get all quarters."""
+        if year_quarters == ["all"]:
+            year_quarters = cls.data_source.working_partitions["year_quarters"]
+        return year_quarters
 
 
 class Eia923Settings(GenericDatasetSettings):
@@ -215,7 +206,7 @@ class Eia860Settings(GenericDatasetSettings):
 
     @field_validator("eia860m")
     @classmethod
-    def check_eia860m_date(cls, eia860m: bool) -> bool:  # noqa: N805
+    def check_eia860m_date(cls, eia860m: bool) -> bool:
         """Check 860m date-year is exactly one year after most recent working 860 year.
 
         Args:
diff --git a/src/pudl/transform/epacems.py b/src/pudl/transform/epacems.py
index fa6dc5fb37..07171e4ee1 100644
--- a/src/pudl/transform/epacems.py
+++ b/src/pudl/transform/epacems.py
@@ -55,7 +55,6 @@ def harmonize_eia_epa_orispl(
     ).filter(
         lambda x: x.plant_id_eia.nunique() > 1  # noqa: PD101
     )
-
     if not one_to_many.empty:
         raise AssertionError(
             "The epacamd_eia crosswalk has more than one plant_id_eia value per "
@@ -181,11 +180,11 @@ def transform(
     """Transform EPA CEMS hourly data and ready it for export to Parquet.
 
     Args:
-        raw_df: An extracted by not yet transformed state-year of EPA CEMS data.
+        raw_df: An extracted by not yet transformed year_quarter of EPA CEMS data.
         pudl_engine: SQLAlchemy connection engine for connecting to an existing PUDL DB.
 
     Returns:
-        A single year-state of EPA CEMS data
+        A single year_quarter of EPA CEMS data
     """
     # Create all the table inputs used for the subtransform functions below
 
diff --git a/src/pudl/transform/ferc1.py b/src/pudl/transform/ferc1.py
index 5f8f60b508..e2de9071cd 100644
--- a/src/pudl/transform/ferc1.py
+++ b/src/pudl/transform/ferc1.py
@@ -48,7 +48,7 @@
 
 @asset
 def clean_xbrl_metadata_json(
-    raw_xbrl_metadata_json: dict[str, dict[str, list[dict[str, Any]]]]
+    raw_xbrl_metadata_json: dict[str, dict[str, list[dict[str, Any]]]],
 ) -> dict[str, dict[str, list[dict[str, Any]]]]:
     """Generate cleaned json xbrl metadata.
 
@@ -58,7 +58,7 @@ def clean_xbrl_metadata_json(
 
 
 def add_source_tables_to_xbrl_metadata(
-    raw_xbrl_metadata_json: dict[str, dict[str, list[dict[str, Any]]]]
+    raw_xbrl_metadata_json: dict[str, dict[str, list[dict[str, Any]]]],
 ) -> dict[str, dict[str, list[dict[str, Any]]]]:
     """Add a ``source_tables`` field into metadata calculation components.
 
diff --git a/src/pudl/workspace/datastore.py b/src/pudl/workspace/datastore.py
index 809e490e7a..144c187aeb 100644
--- a/src/pudl/workspace/datastore.py
+++ b/src/pudl/workspace/datastore.py
@@ -177,7 +177,7 @@ class ZenodoDoiSettings(BaseSettings):
     eia923: ZenodoDoi = "10.5281/zenodo.10067550"
     eia_bulk_elec: ZenodoDoi = "10.5281/zenodo.7067367"
     epacamd_eia: ZenodoDoi = "10.5281/zenodo.7900974"
-    epacems: ZenodoDoi = "10.5281/zenodo.8235497"
+    epacems: ZenodoDoi = "10.5281/zenodo.10306114"
     ferc1: ZenodoDoi = "10.5281/zenodo.8326634"
     ferc2: ZenodoDoi = "10.5281/zenodo.8326697"
     ferc6: ZenodoDoi = "10.5281/zenodo.8326696"
@@ -194,7 +194,6 @@ class ZenodoFetcher:
     _descriptor_cache: dict[str, DatapackageDescriptor]
     zenodo_dois: ZenodoDoiSettings
     timeout: float
-    http: requests.Session
 
     def __init__(
         self: Self, zenodo_dois: ZenodoDoiSettings | None = None, timeout: float = 15.0
diff --git a/src/pudl/workspace/resource_cache.py b/src/pudl/workspace/resource_cache.py
index 745345b507..0eb8e72019 100644
--- a/src/pudl/workspace/resource_cache.py
+++ b/src/pudl/workspace/resource_cache.py
@@ -102,6 +102,7 @@ def get(self, resource: PudlResourceKey) -> bytes:
 
     def add(self, resource: PudlResourceKey, content: bytes):
         """Adds (or updates) resource to the cache with given value."""
+        logger.debug(f"Adding {resource} to {self._resource_path}")
         if self.is_read_only():
             logger.debug(f"Read only cache: ignoring set({resource})")
             return
@@ -154,6 +155,7 @@ def get(self, resource: PudlResourceKey) -> bytes:
 
     def add(self, resource: PudlResourceKey, value: bytes):
         """Adds (or updates) resource to the cache with given value."""
+        logger.debug(f"Adding {resource} to {self._blob.__name__}")
         return self._blob(resource).upload_from_string(value)
 
     def delete(self, resource: PudlResourceKey):
diff --git a/test/integration/epacems_test.py b/test/integration/epacems_test.py
index 64c466e4d0..3e95c5a1be 100644
--- a/test/integration/epacems_test.py
+++ b/test/integration/epacems_test.py
@@ -1,85 +1,61 @@
 """Tests for pudl/output/epacems.py loading functions."""
+from pathlib import Path
+
 import dask.dataframe as dd
+import pandas as pd
 import pytest
+import sqlalchemy as sa
 from dagster import build_init_resource_context
+from pydantic import ValidationError
 
 from pudl.extract.epacems import extract
 from pudl.io_managers import epacems_io_manager
-from pudl.metadata.classes import Resource
 from pudl.output.epacems import epacems, year_state_filter
+from pudl.settings import EpaCemsSettings, EtlSettings
 
 
 @pytest.fixture(scope="module")
-def epacems_year_and_state(etl_settings):
-    """Find the year and state defined in pudl/package_data/settings/etl_*.yml."""
+def epacems_settings(etl_settings: EtlSettings) -> EpaCemsSettings:
+    """Find the year and quarter defined in pudl/package_data/settings/etl_*.yml."""
     # the etl_settings data structure alternates dicts and lists so indexing is a pain.
     return etl_settings.datasets.epacems
 
 
 @pytest.fixture(scope="session")
-def epacems_parquet_path(
-    pudl_engine,  # implicit dependency; ensures .parquet files exist
-):
-    """Get path to the directory of EPA CEMS .parquet data."""
+def epacems_parquet_path(pudl_engine: sa.Engine) -> Path:
+    """Get path to the directory of EPA CEMS .parquet data.
+
+    Args:
+        pudl_engine: An implicit dependency that ensures the .parquet files exist.
+    """
     context = build_init_resource_context()
     return epacems_io_manager(context)._base_path / "hourly_emissions_epacems.parquet"
 
 
-def test_epacems_subset(epacems_year_and_state, epacems_parquet_path):
-    """Minimal integration test of epacems().
-
-    Check if it returns a DataFrame.
-    """
-    if not epacems_year_and_state:
+def test_epacems_subset(epacems_settings: EpaCemsSettings, epacems_parquet_path: Path):
+    """Check that epacems output retrieves a non-empty dataframe."""
+    if not epacems_settings:
         pytest.skip("EPA CEMS not in settings file and so is not being tested.")
     path = epacems_parquet_path
-    years = epacems_year_and_state.years
-    # Use only Idaho if multiple states are given
-    states = (
-        epacems_year_and_state.states
-        if len(epacems_year_and_state.states) == 1
-        else ["ID"]
-    )
+    years = [yq.year for yq in pd.to_datetime(epacems_settings.year_quarters)]
+    states = ["ID"]  # Test on Idaho, one of the smallest states
     actual = epacems(
-        columns=["gross_load_mw"], epacems_path=path, years=years, states=states
+        columns=["year", "state", "gross_load_mw"],
+        epacems_path=path,
+        years=years,
+        states=states,
     )
-    assert isinstance(actual, dd.DataFrame)  # nosec: B101
-    assert actual.shape[0].compute() > 0  # nosec: B101  n rows
+    assert isinstance(actual, dd.DataFrame)
+    assert "gross_load_mw" in actual.columns
+    assert "state" in actual.columns
+    assert "year" in actual.columns
+    assert actual.shape[0].compute() > 0
 
 
 def test_epacems_missing_partition(pudl_datastore_fixture):
-    """Check that missing partitions return an empty data frame.
-
-    Note that this should pass for both the Fast and Full ETL because the behavior
-    towards a missing file is identical."""
-    df = extract(year=1996, state="UT", ds=pudl_datastore_fixture)
-    epacems_res = Resource.from_id("hourly_emissions_epacems")
-    expected_cols = list(epacems_res.get_field_names())
-    assert df.shape[0] == 0  # Check that no rows of data are there
-    # Check that all columns expected of EPACEMS data are present.
-    assert sorted(df.columns) == sorted(expected_cols)
-
-
-def test_epacems_subset_input_validation(epacems_year_and_state, epacems_parquet_path):
-    """Check if invalid inputs raise exceptions."""
-    if not epacems_year_and_state:
-        pytest.skip("EPA CEMS not in settings file and so is not being tested.")
-    path = epacems_parquet_path
-    valid_year = epacems_year_and_state.years[-1]
-    valid_state = epacems_year_and_state.states[-1]
-    valid_column = "gross_load_mw"
-
-    invalid_state = "confederacy"
-    invalid_year = 1775
-    invalid_column = "clean_coal"
-    combos = [
-        {"years": [valid_year], "states": [valid_state], "columns": [invalid_column]},
-        {"years": [valid_year], "states": [invalid_state], "columns": [valid_column]},
-        {"years": [invalid_year], "states": [valid_state], "columns": [valid_column]},
-    ]
-    for combo in combos:
-        with pytest.raises(ValueError):
-            epacems(epacems_path=path, **combo)
+    """Check that trying to extract a non-working partition raises ValidationError"""
+    with pytest.raises(ValidationError):
+        _ = extract(year_quarter="1994Q4", ds=pudl_datastore_fixture)
 
 
 def test_epacems_parallel(pudl_engine, epacems_parquet_path):
@@ -89,9 +65,19 @@ def test_epacems_parallel(pudl_engine, epacems_parquet_path):
     # monolithic outputs.
     df = dd.read_parquet(
         epacems_parquet_path,
-        filters=year_state_filter(years=[2020], states=["ME"]),
+        filters=year_state_filter(years=[2022], states=["ME"]),
         index=False,
         engine="pyarrow",
         split_row_groups=True,
     ).compute()
-    assert df.shape == (96_624, 16)  # nosec: B101
+    assert df.year.unique() == [2022]
+    assert df.state.unique() == ["ME"]
+
+
+def test_missing_cems_partition(pudl_datastore_fixture):
+    """Test that the extract step returns an empty df.
+
+    Note: This could be a unit test, but it interacts with zenodo which is sometimes
+    slow. It must retrive the datapacakge.json associated with the archive.
+    """
+    assert extract("2051q4", ds=pudl_datastore_fixture).empty
diff --git a/test/unit/settings_test.py b/test/unit/settings_test.py
index c2034f7695..e858b9871d 100644
--- a/test/unit/settings_test.py
+++ b/test/unit/settings_test.py
@@ -91,34 +91,37 @@ def test_default_years(self: Self):
 class TestEpaCemsSettings:
     """Test EpaCems settings validation."""
 
-    def test_not_working_state(self: Self):
-        """Make sure a validation error is being thrown when given an invalid state."""
+    def test_not_working_quarter(self: Self):
+        """Make sure a validation error is being thrown when given an invalid quarter."""
         with pytest.raises(ValidationError):
-            EpaCemsSettings(states=["fake_state"])
+            EpaCemsSettings(year_quarters=["1990q4"])
 
-    def test_duplicate_sort_states(self: Self):
-        """Test states are sorted and deduplicated."""
+    def test_duplicate_quarters(self: Self):
+        """Test year_quarters are deduplicated."""
         with pytest.raises(ValidationError):
-            _ = EpaCemsSettings(states=["CA", "CA", "AL"])
+            _ = EpaCemsSettings(year_quarters=["1999q4", "1999q4"])
 
-    def test_default_states(self: Self):
-        """Test all states are used as default."""
+    def test_default_quarters(self: Self):
+        """Test all quarters are used as default."""
         returned_settings = EpaCemsSettings()
 
-        expected_states = DataSource.from_id("epacems").working_partitions["states"]
-        assert expected_states == returned_settings.states
+        expected_year_quarters = DataSource.from_id("epacems").working_partitions[
+            "year_quarters"
+        ]
+        assert expected_year_quarters == returned_settings.year_quarters
 
-    def test_all_states(self: Self):
-        """Test all states are used as default."""
-        returned_settings = EpaCemsSettings(states=["all"])
+    def test_all_year_quarters(self: Self):
+        """Test the `all` option for the cems settings."""
+        epacems_settings_all = EpaCemsSettings(year_quarters=["all"])
+        working_partitions_all = DataSource.from_id("epacems").working_partitions[
+            "year_quarters"
+        ]
+        assert epacems_settings_all.year_quarters == working_partitions_all
 
-        expected_states = DataSource.from_id("epacems").working_partitions["states"]
-        assert expected_states == returned_settings.states
-
-    def test_none_states_raise(self: Self):
+    def test_none_quarters_raise(self: Self):
         """Test that setting a required partition to None raises an error."""
         with pytest.raises(ValidationError):
-            _ = EpaCemsSettings(states=None)
+            _ = EpaCemsSettings(quarters=None)
 
 
 class TestEIA860Settings:
@@ -255,10 +258,10 @@ def test_invalid_field_type(self: Self):
 
     def test_default_values(self: Self):
         """Test the correct default values are created for dagster config."""
-        expected_states = EpaCemsSettings().states
+        expected_year_quarters = EpaCemsSettings().year_quarters
         assert (
-            dataset_settings.config_schema.default_value["epacems"]["states"]
-            == expected_states
+            dataset_settings.config_schema.default_value["epacems"]["year_quarters"]
+            == expected_year_quarters
         )
 
 
@@ -274,9 +277,9 @@ def test_partitions_with_json_normalize(pudl_etl_settings):
         )
 
     cems_parts = json_normalize(datasets["epacems"].partitions)
-    if list(cems_parts.columns) != ["year", "state"]:
+    if list(cems_parts.columns) != ["year_quarters"]:
         raise AssertionError(
-            "CEMS paritions should have year and state columns only, found:"
+            "CEMS paritions should have year_quarters columns only, found:"
             f"{cems_parts}"
         )
 
diff --git a/test/unit/workspace/datastore_test.py b/test/unit/workspace/datastore_test.py
index 4583c6aff1..45db296ae8 100644
--- a/test/unit/workspace/datastore_test.py
+++ b/test/unit/workspace/datastore_test.py
@@ -234,8 +234,11 @@ class TestZenodoFetcher(unittest.TestCase):
             },
         ]
     }
-    PROD_EPACEMS_DOI = "10.5281/zenodo.8235497"
-    PROD_EPACEMS_ZEN_ID = 8235497  # This is the last numeric part of doi
+    PROD_EPACEMS_DOI = datastore.ZenodoDoiSettings().epacems
+    # last numeric part of doi
+    PROD_EPACEMS_ZEN_ID = re.search(
+        r"^10\.(5072|5281)/zenodo\.(\d+)$", PROD_EPACEMS_DOI
+    ).group(2)
 
     def setUp(self):
         """Constructs mockable Zenodo fetcher based on MOCK_EPACEMS_DATAPACKAGE."""