diff --git a/.gitignore b/.gitignore
index b4b7095..6c0d036 100644
--- a/.gitignore
+++ b/.gitignore
@@ -142,4 +142,4 @@ cython_debug/
 scratch
 .Trash-0
 .virtual_documents
-
+.envrc
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 91b9f8d..90e785c 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -25,6 +25,6 @@ repos:
           - click != 8.1.0
           - stactools
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.0.288
+    rev: v0.6.0
     hooks:
       - id: ruff
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 9b99a14..1a3d58f 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -9,7 +9,7 @@ number as needed.
 
 ## [Unreleased]
 
-- Nothing.
+- Add `collection_id` to items
 
 [Unreleased]: <https://github.com/stactools-packages/noaa-hrrr/tree/main/>
 
diff --git a/pyproject.toml b/pyproject.toml
index cf7ff02..4d5b518 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -37,7 +37,7 @@ dev = [
     "pre-commit~=3.4",
     "pytest-cov~=4.1",
     "pytest~=7.4",
-    "ruff==0.0.288",
+    "ruff==0.6.0",
 ]
 docs = ["pystac~=1.8", "ipykernel~=6.25", "jinja2~=3.1"]
 
@@ -60,7 +60,7 @@ strict = true
 mypy_path = "src"
 
 [tool.ruff]
-select = ["E", "F", "I"]
+lint.select = ["E", "F", "I"]
 
 [tool.setuptools.package-data]
 "stactools.noaa_hrrr.data" = ["*.csv.gz"]
diff --git a/scripts/update-examples b/scripts/update-examples
index be11fac..baa30f6 100755
--- a/scripts/update-examples
+++ b/scripts/update-examples
@@ -4,8 +4,9 @@ import shutil
 from datetime import datetime
 from pathlib import Path
 
-import stactools.noaa_hrrr.stac
 from pystac import CatalogType
+
+import stactools.noaa_hrrr.stac
 from stactools.noaa_hrrr.metadata import (
     CloudProvider,
     Product,
diff --git a/src/stactools/noaa_hrrr/commands.py b/src/stactools/noaa_hrrr/commands.py
index 98fa716..20d0c86 100644
--- a/src/stactools/noaa_hrrr/commands.py
+++ b/src/stactools/noaa_hrrr/commands.py
@@ -4,16 +4,13 @@
 
 import click
 from click import Command, Group
+
 from stactools.noaa_hrrr import stac
 from stactools.noaa_hrrr.constants import (
     COLLECTION_ID_FORMAT,
     EXTENDED_FORECAST_MAX_HOUR,
 )
-from stactools.noaa_hrrr.metadata import (
-    CloudProvider,
-    Product,
-    Region,
-)
+from stactools.noaa_hrrr.metadata import CloudProvider, Product, Region
 
 logger = logging.getLogger(__name__)
 
diff --git a/src/stactools/noaa_hrrr/inventory.py b/src/stactools/noaa_hrrr/inventory.py
index 541a838..d0cc81c 100644
--- a/src/stactools/noaa_hrrr/inventory.py
+++ b/src/stactools/noaa_hrrr/inventory.py
@@ -1,6 +1,6 @@
 """Each .grib file in the HRRR dataset contains dozens or hundreds of distinct variables
 that represent data along several dimensions. The inventory files published by NOAA are
-useful for the human-readable descriptions, but more reliable inventory dataframes can 
+useful for the human-readable descriptions, but more reliable inventory dataframes can
 be generated by reading the sidecar .grib2.idx files.
 
 The functions in this module generate the metadata required to define the coordinates
@@ -8,12 +8,13 @@
 dataframes are used to populate the datacube extension metadata for each collection.
 
 The dimensions of interest are:
-1. forecast_valid: either the average, minimum, maximum, or accumulated value for a 
+1. forecast_valid: either the average, minimum, maximum, or accumulated value for a
     specific time range, e.g. 3-4 hours, 0-1 day, etc.
     For forecast hour 0, the level is "analysis"
-2. level: the models generate predictions of many of the variables for various levels 
+2. level: the models generate predictions of many of the variables for various levels
     in the atmosphere, e.g. 0-9000 ft, cloud surface, top of atmosphere, etc.
 """
+
 import logging
 import multiprocessing as mp
 from datetime import datetime, timedelta
@@ -23,6 +24,7 @@
 
 import httpx
 import pandas as pd
+
 from stactools.noaa_hrrr.constants import (
     BYTE_SIZE,
     DESCRIPTION,
diff --git a/src/stactools/noaa_hrrr/metadata.py b/src/stactools/noaa_hrrr/metadata.py
index c083044..60723b9 100644
--- a/src/stactools/noaa_hrrr/metadata.py
+++ b/src/stactools/noaa_hrrr/metadata.py
@@ -8,6 +8,7 @@
 from parse import Result, parse
 from rasterio.crs import CRS
 from rasterio.warp import transform_bounds
+
 from stactools.noaa_hrrr.constants import (
     EXTENDED_FORECAST_MAX_HOUR,
     STANDARD_FORECAST_MAX_HOUR,
diff --git a/src/stactools/noaa_hrrr/stac.py b/src/stactools/noaa_hrrr/stac.py
index 838ea4f..6b3e30c 100644
--- a/src/stactools/noaa_hrrr/stac.py
+++ b/src/stactools/noaa_hrrr/stac.py
@@ -1,17 +1,11 @@
 import logging
 import multiprocessing as mp
 from datetime import datetime, timedelta
-from typing import Union
+from typing import Optional, Union
 
 import pandas as pd
 import pystac
-from pystac import (
-    Collection,
-    Extent,
-    Item,
-    SpatialExtent,
-    TemporalExtent,
-)
+from pystac import Collection, Extent, Item, SpatialExtent, TemporalExtent
 from pystac.catalog import CatalogType
 from pystac.extensions.datacube import (
     DatacubeExtension,
@@ -23,6 +17,7 @@
 from pystac.extensions.item_assets import AssetDefinition, ItemAssetsExtension
 from pystac.item_collection import ItemCollection
 from pystac.provider import Provider, ProviderRole
+
 from stactools.noaa_hrrr.constants import (
     BYTE_SIZE,
     COLLECTION_ID_FORMAT,
@@ -438,6 +433,7 @@ def create_item(
     cloud_provider: CloudProvider,
     reference_datetime: datetime,
     forecast_hour: int,
+    collection: Optional[Collection] = None,
 ) -> Item:
     """Creates a STAC item for a region x product x cloud provider x reference_datetime
     (cycle run hour) combination.
@@ -487,6 +483,7 @@ def create_item(
         cloud_provider=cloud_provider,
         reference_datetime=reference_datetime,
         forecast_hour=forecast_hour,
+        collection=collection,
     )
 
 
@@ -497,6 +494,7 @@ def create_item_from_idx_df(
     cloud_provider: CloudProvider,
     reference_datetime: datetime,
     forecast_hour: int,
+    collection: Optional[Collection] = None,
 ) -> Item:
     """Creates a STAC item for a region x product x cloud provider x reference_datetime
     (cycle run hour) combination and a provided idx dataframe.
@@ -550,6 +548,7 @@ def create_item_from_idx_df(
         geometry=region_config.geometry_4326,
         bbox=region_config.bbox_4326,
         datetime=forecast_datetime,
+        collection=collection,
         properties={
             "forecast:reference_time": reference_datetime.strftime(
                 "%Y-%m-%dT%H:%M:%SZ"
@@ -613,11 +612,17 @@ def create_item_safe(
     cloud_provider: CloudProvider,
     reference_datetime: datetime,
     forecast_hour: int,
+    collection: Optional[Collection],
 ) -> Union[Item, None]:
     """Try to create an item and raise a warning if it fails"""
     try:
         return create_item(
-            region, product, cloud_provider, reference_datetime, forecast_hour
+            region,
+            product,
+            cloud_provider,
+            reference_datetime,
+            forecast_hour,
+            collection,
         )
     except NotFoundError as e:
         logging.warning(e)
@@ -630,6 +635,7 @@ def create_item_collection(
     cloud_provider: CloudProvider,
     start_date: datetime,
     end_date: datetime,
+    collection: Optional[Collection] = None,
 ) -> pystac.ItemCollection:
     """Create an item collection containing all items for a date range"""
 
@@ -644,7 +650,14 @@ def create_item_collection(
             forecast_cycle_type = ForecastCycleType.from_timestamp(reference_datetime)
             for forecast_hour in forecast_cycle_type.generate_forecast_hours():
                 tasks.append(
-                    (region, product, cloud_provider, reference_datetime, forecast_hour)
+                    (
+                        region,
+                        product,
+                        cloud_provider,
+                        reference_datetime,
+                        forecast_hour,
+                        collection,
+                    )
                 )
 
         reference_date += one_day
diff --git a/tests/test_commands.py b/tests/test_commands.py
index 1f5f2d2..050beb2 100644
--- a/tests/test_commands.py
+++ b/tests/test_commands.py
@@ -4,6 +4,7 @@
 from click import Group
 from click.testing import CliRunner
 from pystac import Collection, Item
+
 from stactools.noaa_hrrr.commands import create_noaahrrr_command
 from stactools.noaa_hrrr.metadata import (
     CloudProvider,
diff --git a/tests/test_inventory.py b/tests/test_inventory.py
index a54003f..8809359 100644
--- a/tests/test_inventory.py
+++ b/tests/test_inventory.py
@@ -1,5 +1,6 @@
 import pandas as pd
 import pytest
+
 from stactools.noaa_hrrr.inventory import (
     DESCRIPTION_COLS,
     INVENTORY_COLS,
diff --git a/tests/test_stac.py b/tests/test_stac.py
index b261ac9..a2a55d5 100644
--- a/tests/test_stac.py
+++ b/tests/test_stac.py
@@ -2,6 +2,7 @@
 from datetime import datetime, timedelta
 
 import pytest
+
 from stactools.noaa_hrrr import stac
 from stactools.noaa_hrrr.constants import (
     COLLECTION_ID_FORMAT,
@@ -81,6 +82,29 @@ def test_create_item(
     _ = json.dumps(item.to_dict())
 
 
+def test_create_item_with_collection() -> None:
+    region = Region.conus
+    product = Product.sfc
+    cloud_provider = CloudProvider.aws
+    item = stac.create_item(
+        region=region,
+        product=product,
+        cloud_provider=cloud_provider,
+        reference_datetime=datetime(year=2024, month=1, day=1, hour=6),
+        forecast_hour=12,
+        collection=stac.create_collection(
+            region=region,
+            product=product,
+            cloud_provider=cloud_provider,
+        ),
+    )
+    assert item.collection_id == COLLECTION_ID_FORMAT.format(
+        region=region.value,
+        product=product.value,
+        cloud_provider=cloud_provider.value,
+    )
+
+
 def test_create_item_collection() -> None:
     start_date = datetime(year=2024, month=5, day=1)
     item_collection = stac.create_item_collection(