diff --git a/.gitattributes b/.gitattributes
index 01fe5009..affcecd7 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -1,3 +1,3 @@
 notebooks/** linguist-documentation
 docs/** linguist-documentation
-tests/unit/fixtures/vcr_cassettes/** linguist-documentation
\ No newline at end of file
+tests/unit/fixtures/vcr_cassettes/** linguist-documentation
diff --git a/.github/workflows/integration-test.yml b/.github/workflows/integration-test.yml
index 8b47f607..e0e3ca07 100644
--- a/.github/workflows/integration-test.yml
+++ b/.github/workflows/integration-test.yml
@@ -17,12 +17,16 @@ concurrency:
   group: integration-tests-${{ github.ref }}
   cancel-in-progress: true
 
+defaults:
+  run:
+    shell: bash -l {0}
+
 jobs:
-  test:
+  integration-tests:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [3.8, 3.9, "3.10", "3.11"]
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
       fail-fast: false
 
     steps:
@@ -35,22 +39,29 @@ jobs:
         id: full-python-version
         run: echo ::set-output name=version::$(python -c "import sys; print('-'.join(str(v) for v in sys.version_info))")
       - name: Install poetry
-        run: |
-          curl -sSL https://install.python-poetry.org | python3 -
-          echo "$HOME/.poetry/bin" >> $GITHUB_PATH
+        uses: abatilo/actions-poetry@v3
       - name: Configure poetry
-        run: poetry config virtualenvs.in-project true
+        run: |
+          poetry config virtualenvs.create true --local
+          poetry config virtualenvs.in-project true --local
+          poetry self add setuptools
       - name: Set up cache
         uses: actions/cache@v4
         id: cache
         with:
           path: .venv
-          key: venv-${{ runner.os }}-${{ steps.full-python-version.outputs.version }}-${{ hashFiles('**/poetry.lock') }}
+          key: venv-${{ runner.os }}-${{ steps.full-python-version.outputs.version }}-${{ hashFiles('poetry.lock') }}
       - name: Ensure cache is healthy
         if: steps.cache.outputs.cache-hit == 'true'
         run: poetry run pip --version >/dev/null 2>&1 || rm -rf .venv
       - name: Install Dependencies
+        if: ${{ !env.ACT }}
         run: poetry install
+      - name: Install Dependencies
+        if: ${{ env.ACT }}
+        # When using `act` to run the workflow locally, the `poetry install` command
+        # may fail due to network issues when running multiple Docker containers.
+        run: poetry install || poetry install || poetry install
       - name: Test
         env:
           EARTHDATA_USERNAME: ${{ secrets.EDL_USERNAME }}
@@ -59,4 +70,6 @@ jobs:
           EARTHACCESS_TEST_PASSWORD: ${{ secrets.EDL_PASSWORD }}
         run: poetry run bash scripts/integration-test.sh
       - name: Upload coverage
+        # Don't upload coverage when using the `act` tool to run the workflow locally
+        if: ${{ !env.ACT }}
         uses: codecov/codecov-action@v4
diff --git a/.github/workflows/issue-metrics.yml b/.github/workflows/issue-metrics.yml
new file mode 100644
index 00000000..087f2560
--- /dev/null
+++ b/.github/workflows/issue-metrics.yml
@@ -0,0 +1,42 @@
+name: Monthly issue metrics
+on:
+  workflow_dispatch:
+  schedule:
+    - cron: '3 2 1 * *'
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+    name: issue metrics
+    runs-on: ubuntu-latest
+    permissions:
+      issues: write
+      pull-requests: read
+    steps:
+      - name: Get dates for last month
+        shell: bash
+        run: |
+          # Calculate the first day of the previous month
+          first_day=$(date -d "last month" +%Y-%m-01)
+
+          # Calculate the last day of the previous month
+          last_day=$(date -d "$first_day +1 month -1 day" +%Y-%m-%d)
+
+          #Set an environment variable with the date range
+          echo "$first_day..$last_day"
+          echo "last_month=$first_day..$last_day" >> "$GITHUB_ENV"
+
+      - name: Run issue-metrics tool
+        uses: github/issue-metrics@v3
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          SEARCH_QUERY: 'repo:${{ github.repository }} is:issue created:${{ env.last_month }} -reason:"not planned"'
+
+      - name: Create issue
+        uses: peter-evans/create-issue-from-file@v5
+        with:
+          title: Monthly issue metrics report
+          token: ${{ secrets.GITHUB_TOKEN }}
+          content-filepath: ./issue_metrics.md
diff --git a/.github/workflows/test-mindeps.yml b/.github/workflows/test-mindeps.yml
index cb545b95..e432280a 100644
--- a/.github/workflows/test-mindeps.yml
+++ b/.github/workflows/test-mindeps.yml
@@ -46,4 +46,6 @@ jobs:
         run: bash scripts/test.sh
 
       - name: Upload coverage
+        # Don't upload coverage when using the `act` tool to run the workflow locally
+        if: ${{ !env.ACT }}
         uses: codecov/codecov-action@v4
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index c0939e49..d05453fb 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -5,12 +5,16 @@ on:
   pull_request:
     types: [opened, synchronize]
 
+defaults:
+  run:
+    shell: bash -l {0}
+
 jobs:
-  test:
+  unit-tests:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [3.8, 3.9, "3.10", "3.11"]
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
       fail-fast: false
 
     steps:
@@ -23,23 +27,32 @@ jobs:
         id: full-python-version
         run: echo "version=$(python -c "import sys; print('-'.join(str(v) for v in sys.version_info))")" >> $GITHUB_OUTPUT
       - name: Install poetry
-        run: |
-          curl -sSL https://install.python-poetry.org | python3 -
-          echo "$HOME/.poetry/bin" >> $GITHUB_PATH
+        uses: abatilo/actions-poetry@v3
       - name: Configure poetry
-        run: poetry config virtualenvs.in-project true
+        run: |
+          poetry config virtualenvs.create true --local
+          poetry config virtualenvs.in-project true --local
+          poetry self add setuptools
       - name: Set up cache
         uses: actions/cache@v4
         id: cache
         with:
           path: .venv
-          key: venv-${{ runner.os }}-${{ steps.full-python-version.outputs.version }}-${{ hashFiles('**/poetry.lock') }}
+          key: venv-${{ runner.os }}-${{ steps.full-python-version.outputs.version }}-${{ hashFiles('poetry.lock') }}
       - name: Ensure cache is healthy
         if: steps.cache.outputs.cache-hit == 'true'
         run: poetry run pip --version >/dev/null 2>&1 || rm -rf .venv
       - name: Install Dependencies
+        if: ${{ !env.ACT }}
         run: poetry install
+      - name: Install Dependencies
+        if: ${{ env.ACT }}
+        # When using `act` to run the workflow locally, the `poetry install` command
+        # may fail due to network issues when running multiple Docker containers.
+        run: poetry install || poetry install || poetry install
       - name: Test
         run: poetry run bash scripts/test.sh
       - name: Upload coverage
+        # Don't upload coverage when using the `act` tool to run the workflow locally
+        if: ${{ !env.ACT }}
         uses: codecov/codecov-action@v4
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index b9e49080..9506aa4f 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -7,26 +7,41 @@ repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
     rev: v4.6.0
     hooks:
+      # Validate format
       - id: check-yaml
-      - id: trailing-whitespace
       - id: check-toml
       - id: check-json
+      # Check for common mistakes
+      - id: check-added-large-files
+      - id: check-case-conflict
+      # - id: check-illegal-windows-names # TODO: Enable in next release
+      - id: check-merge-conflict
+      - id: check-executables-have-shebangs
+      - id: check-shebang-scripts-are-executable
+      - id: check-symlinks
+      - id: check-vcs-permalinks
+      - id: destroyed-symlinks
+      - id: detect-private-key
+      - id: end-of-file-fixer
+      - id: mixed-line-ending
+      - id: no-commit-to-branch # protects `main` by default
+      - id: trailing-whitespace
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.4.3
+    rev: v0.5.0
     hooks:
       - id: ruff
         args: ["--fix", "--exit-non-zero-on-fix"]
       - id: ruff-format
   - repo: https://github.com/google/yamlfmt
-    rev: v0.12.1
+    rev: v0.13.0
     hooks:
       - id: yamlfmt
         types_or: [yaml]
         exclude: ".*/vcr_cassettes/.*\\.yaml"
 
   - repo: https://github.com/codespell-project/codespell
-    rev: "v2.2.4"
+    rev: "v2.3.0"
     hooks:
       - id: "codespell"
         exclude: ".codespellignore|tests/.*"
diff --git a/CHANGELOG.md b/CHANGELOG.md
index be67504e..1fc09a87 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -11,30 +11,23 @@
   ([#511](https://github.com/nsidc/earthaccess/issues/511))
   ([**@botanical**](https://github.com/botanical),[**@chuckwondo**](https://github.com/chuckwondo),
    [**@mfisher87**](https://github.com/mfisher87))
-- Correct and enhance static type hints for functions and methods that make CMR queries
-  or handle CMR query results ([#508](https://github.com/nsidc/earthaccess/issues/508))
-  ([**@mfisher87**](https://github.com/mfisher87),[**@jhkennedy**](https://github.com/jhkennedy),
-   [**@chuckwondo**](https://github.com/chuckwondo),[**@betolink**](https://github.com/betolink))
-- Create destination path prior to direct S3 downloads, if it doesn't already
-     exist ([#562](https://github.com/nsidc/earthaccess/issues/562))
-  ([**@itcarroll**](https://github.com/itcarroll),[**@mfisher87**](https://github.com/mfisher87),
-   [**@chuckwondo**](https://github.com/chuckwondo))
 
 ### Added
 
-- Use [Search After](https://cmr.earthdata.nasa.gov/search/site/docs/search/api.html#search-after)
-  for collection and granule searches to support deep-paging through large result sets
-  ([#483](https://github.com/nsidc/earthaccess/issues/483))
-  ([**@doug-newman-nasa**](https://github.com/doug-newman-nasa),[**@chuckwondo**](https://github.com/chuckwondo),
-   [**@mfisher87**](https://github.com/mfisher87),[**@betolink**](https://github.com/betolink))
 - Enable queries to Earthdata User Acceptance Testing (UAT) system for authenticated accounts
   ([#421](https://github.com/nsidc/earthaccess/issues/421))
   ([**@danielfromearth**](https://github.com/danielfromearth),[**@mfisher87**](https://github.com/mfisher87),
    [**@jhkennedy**](https://github.com/jhkennedy),[**@chuckwondo**](https://github.com/chuckwondo),
    [**@betolink**](https://github.com/betolink))
+- Add support for Python 3.12
+  ([#457](https://github.com/nsidc/earthaccess/issues/457))
+  ([**@chuckwondo**](https://github.com/chuckwondo),[**@mfisher87**](https://github.com/mfisher87))
 
 ### Removed
 
+- **Breaking:** Remove support for Python 3.8
+  ([#457](https://github.com/nsidc/earthaccess/issues/457))
+  ([**@mfisher87**](https://github.com/mfisher87),[**@chuckwondo**](https://github.com/chuckwondo))
 - **Breaking:** Remove the
     `get_user_profile` method and the `email_address` and `profile` attributes
     from the `Auth` class.  Calling the EDL API to get user profile information
@@ -44,6 +37,22 @@
      [**@jhkennedy**](https://github.com/jhkennedy),[**@chuckwondo**](https://github.com/chuckwondo),
      [**@betolink**](https://github.com/betolink))
 
+### Fixed
+
+- Use [Search After](https://cmr.earthdata.nasa.gov/search/site/docs/search/api.html#search-after)
+  for collection and granule searches to support deep-paging through large result sets
+  ([#483](https://github.com/nsidc/earthaccess/issues/483))
+  ([**@doug-newman-nasa**](https://github.com/doug-newman-nasa),[**@chuckwondo**](https://github.com/chuckwondo),
+   [**@mfisher87**](https://github.com/mfisher87),[**@betolink**](https://github.com/betolink))
+- Correct and enhance static type hints for functions and methods that make CMR queries
+  or handle CMR query results ([#508](https://github.com/nsidc/earthaccess/issues/508))
+  ([**@mfisher87**](https://github.com/mfisher87),[**@jhkennedy**](https://github.com/jhkennedy),
+   [**@chuckwondo**](https://github.com/chuckwondo),[**@betolink**](https://github.com/betolink))
+- Create destination path prior to direct S3 downloads, if it doesn't already
+     exist ([#562](https://github.com/nsidc/earthaccess/issues/562))
+  ([**@itcarroll**](https://github.com/itcarroll),[**@mfisher87**](https://github.com/mfisher87),
+   [**@chuckwondo**](https://github.com/chuckwondo))
+
 ## [0.9.0] - 2024-02-28
 
 ### Added
diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
index d51dbd9a..f14c6c25 100644
--- a/CODE_OF_CONDUCT.md
+++ b/CODE_OF_CONDUCT.md
@@ -6,7 +6,7 @@ In the interest of fostering an open and welcoming environment, we as
 contributors and maintainers pledge to making participation in our project and
 our community a harassment-free experience for everyone, regardless of age, body
 size, disability, ethnicity, sex characteristics, gender identity and expression,
-level of experience, education, socio-economic status, nationality, personal
+level of experience, education, socioeconomic status, nationality, personal
 appearance, race, religion, or sexual identity and orientation.
 
 ## Our Standards
diff --git a/binder/postBuild b/binder/postBuild
old mode 100644
new mode 100755
index 254815af..bcf7589f
--- a/binder/postBuild
+++ b/binder/postBuild
@@ -4,4 +4,3 @@ set -ex
 
 poetry config virtualenvs.create false
 poetry install --no-dev
-
diff --git a/ci/environment-dev.yml b/ci/environment-dev.yml
index 9982dad2..60ebcac8 100644
--- a/ci/environment-dev.yml
+++ b/ci/environment-dev.yml
@@ -14,6 +14,7 @@ dependencies:
   - mkdocs>=1.2
   - mkdocs-material>=7.1,<9.0
   - markdown-include>=0.6
+  - mkdocs-redirects>=1.2.1
   - mkdocstrings>=0.19.0
   - mkdocstrings-python
   - mkdocs-jupyter>=0.19.0
diff --git a/ci/environment-mindeps.yaml b/ci/environment-mindeps.yaml
index 92e797b0..76f81434 100644
--- a/ci/environment-mindeps.yaml
+++ b/ci/environment-mindeps.yaml
@@ -7,7 +7,7 @@ channels:
   - conda-forge
 dependencies:
   # required dependencies
-  - python=3.8
+  - python=3.9
   - python-cmr=0.10.0
   - pqdm=0.1
   - requests=2.26
diff --git a/docs/contributing/code-of-conduct.md b/docs/contributing/code-of-conduct.md
new file mode 100644
index 00000000..01f2ea20
--- /dev/null
+++ b/docs/contributing/code-of-conduct.md
@@ -0,0 +1 @@
+--8<-- "CODE_OF_CONDUCT.md"
diff --git a/docs/contributing/index.md b/docs/contributing/index.md
index 50a606b9..3d149637 100644
--- a/docs/contributing/index.md
+++ b/docs/contributing/index.md
@@ -6,7 +6,7 @@ with the community and maintainers via
 [a GitHub Discussion](https://github.com/nsidc/earthaccess/discussions),
 or [any other method](our-meet-ups.md).
 
-Please note that we have a [code of conduct](/CODE_OF_CONDUCT.md). Please follow it in all of your interactions with the project.
+Please note that we have a [code of conduct](./code-of-conduct.md). Please follow it in all of your interactions with the project.
 
 ## First Steps to contribute
 
diff --git a/docs/contributing/maintainers-guide.md b/docs/contributing/maintainers-guide.md
new file mode 100644
index 00000000..1ac2fc79
--- /dev/null
+++ b/docs/contributing/maintainers-guide.md
@@ -0,0 +1,58 @@
+# Maintainers Guide
+
+This page offers guidance to project maintainers regarding our setup procedures, release processes, package creation, and other related tasks.
+
+## Maintainer Onboarding and Best Practices
+
+### Becoming a Maintainer or Triager
+
+If you are interested in becoming a maintainer, you can join our community. Maintainers have several important responsibilities, so please read on to understand the role.
+
+Also, if you're interested in helping managing issues with labels and interacting with incoming requests, you can have a "triager" role!
+
+To get permissions, please start by participating on GitHub by answering questions, reviewing PRs, or contributing code or documentation. Once you're feeling comfortable, you can ask any of our maintainers for permissions by `@`ing them on GitHub.
+
+### Maintainer Responsibilities and Expectations
+
+1. As a maintainer, there is no strict time obligation, as we understand that everyone's ability to commit can fluctuate. However, we do expect maintainers to communicate openly and transparently with the team and the community.
+
+2. As a maintainer, you are expected to uphold a positive and inclusive team culture. This includes following the guidelines outlined in the [Openscapes team culture page](https://openscapes.github.io/series/core-lessons/team-culture.html) and the [recorded psychological safety talk](https://www.youtube.com/watch?v=rzi-qkl8u5M) . By doing so, you can help ensure that all team members and contributors feel safe, respected, and valued.
+
+
+### Maintainer Processes Beyond Regular Contributing
+
+1. As a maintainer, label issues clearly and consistently to help contributors identify issue types and priority. Use 'good first issue' for contributor-friendly issues.
+
+2. As a maintainer, create welcoming environment when communicating with contributors (issue / PR / discussion posters).
+
+3. As a maintainer reviewing and merging contributions is critical. Here are some best practices:
+
+    3a. Review contributions thoroughly.
+
+    3b. Provide constructive feedback.
+
+    3c. Communicate clearly and respectfully.
+
+    3d. Merge contributions promptly.
+
+4. As a maintainer, you will be releasing different versions. More on this in [here](./releasing.md).
+
+## Branches
+
+main: This is the main branch, which is consistently tested and prepared for release as a new version. Avoid pushing changes directly to this branch. Instead, create a new branch and submit a pull request for any modifications.
+
+
+## Continuous Integration & Delivery
+
+The GitHub Actions CI services handle the project's building, testing, and management across Linux, macOS, and Windows platforms. The CI configuration files can be found in the `./.github/workflows/`. Here we briefly summarize the functions of the files in the `./ci/` directory.
+
+`environment-dev.yml` - The environment configuration file specifies dependencies for Python development.
+
+`environment-mindeps.yaml`- Specifies an environment with the minimum supported dependency versions to detect backwards-incompatible code.
+
+## Continuous Documentation
+
+[ReadTheDocs](https://readthedocs.org/projects/earthaccess/) is used to generate and host [our documentation website](https://earthaccess.readthedocs.io/) as well as the preview for documentation changes made in pull requests. This service uses a configuration file in the root of the project, `.readthedocs.yml`.
+
+
+
diff --git a/docs/howto/access-data.md b/docs/howto/access-data.md
index 22f19521..f87a87f2 100644
--- a/docs/howto/access-data.md
+++ b/docs/howto/access-data.md
@@ -41,5 +41,3 @@ And that's it in just one line of code! This same piece of code will also work f
 
 
 > More examples coming soon!
-
-
diff --git a/docs/howto/cloud.md b/docs/howto/cloud.md
index d3557f72..ebfccf03 100644
--- a/docs/howto/cloud.md
+++ b/docs/howto/cloud.md
@@ -1,3 +1,3 @@
 # Direct S3 access for cloud-based datasets
 
-Coming soon
\ No newline at end of file
+Coming soon
diff --git a/docs/howto/edl.ipynb b/docs/howto/edl.ipynb
index d26503dc..5949ddb5 100644
--- a/docs/howto/edl.ipynb
+++ b/docs/howto/edl.ipynb
@@ -17,17 +17,7 @@
    "execution_count": 1,
    "id": "ce723d6f-8b5f-43e1-9531-19ee08a056fe",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "You're now authenticated with NASA Earthdata Login\n",
-      "Using token with expiration date: 09/25/2023\n",
-      "Using environment variables for EDL\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import earthaccess\n",
     "\n",
@@ -40,32 +30,17 @@
    "metadata": {},
    "source": [
     "### Data in AWS\n",
-    "If the data we want to access is on AWS, we can use earthaccess to generate temporary S3 credentials for any of the DAACs"
+    "If the data we want to access is on AWS, we can use earthaccess to generate temporary S3 credentials for any of the DAACs. This line is commented out for security reasons. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "3108ff21-1ea2-449b-b2f5-b442dd3b61f5",
+   "execution_count": 2,
+   "id": "f1f45172-c9c3-4f25-ad7e-acf94fba8b1d",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'accessKeyId': 'ASIA2D3OGJNTE2UAIDHR',\n",
-       " 'secretAccessKey': '9+6D3m76HTuNi3qvbgUMBFlJECsCgPyJ4ur2CfZL',\n",
-       " 'sessionToken': 'FwoGZXIvYXdzEPL//////////wEaDIVnMBd6zBaEKmG58CLpAXrPN52vpRHvs+0y960kNwGOdFHPD81WVsdeUciP/vQvsU/xX4Cg+iLH/OXDlH/PBWCmSgfk4vgXD9k6r2JRmnpkwyF4v4K4+ciIuUHNG43ZegSFtkzZoLHShLtEnNu/OIT0TlcrOLJIY+TnjEDcKkXiLSsLYB7qDKZIeg654oPCkjeXyDuoWOumJa7utBEwHmakOGdGJTthOfbfJ6RJ9sbPbmsEXg0bHF5PY9h3/Eoq0rjyRmlb1WYuopw5YK8dL5N9IwSKlKiu19Cj0nd04XVNuiB02+fLDubsnKK1b3j0jR53qAU3FxobKLHgj6YGMi0kDN7xWP6yqI7Ry69Lf5EEcDRVp4UVz6llGYoDpsKr9s3cXaBljkhEjH7N5dQ=',\n",
-       " 'expiration': '2023-07-28 17:43:29+00:00'}"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "s3_credentials = auth.get_s3_credentials(\"NSIDC\")\n",
-    "s3_credentials"
+    "#s3_credentials = auth.get_s3_credentials(\"NSIDC\")"
    ]
   },
   {
@@ -88,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 3,
    "id": "a7bb1a93-6f85-40cd-93b4-ce821a03a8b5",
    "metadata": {},
    "outputs": [],
@@ -102,7 +77,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 4,
    "id": "c0f4e286-8ce9-4cde-b3a2-631b361a0d51",
    "metadata": {},
    "outputs": [
@@ -112,7 +87,7 @@
        "'�HDF\\r\\n\\x1a\\n\\x00\\x00\\x00\\x00\\x00\\x08\\x08\\x00\\x04\\x00\\x10\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00���������HUn\\x00\\x00\\x00\\x00��������\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00`\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00OHDR\\x02'"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -133,7 +108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 5,
    "id": "1e5f5f7a-0643-42cb-b70c-4ac982824ff9",
    "metadata": {},
    "outputs": [],
@@ -143,7 +118,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 6,
    "id": "fbc7bc5f-b984-4324-b095-3648a437fba2",
    "metadata": {},
    "outputs": [
@@ -153,7 +128,7 @@
        "b'\\x89HDF\\r\\n\\x1a\\n\\x00\\x00\\x00\\x00\\x00\\x08\\x08\\x00\\x04\\x00\\x10\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xd7HUn\\x00\\x00\\x00\\x00\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00`\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00OHDR'"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -166,19 +141,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 7,
    "id": "07433a9f-f276-4d2b-9ed3-f556df2884af",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f68d214c1c4b4d0fb0b44d878a003a33",
+       "model_id": "c76e3afc58a84118a04144f2f08ff6bc",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "QUEUEING TASKS | : 0it [00:00, ?it/s]"
+       "QUEUEING TASKS | :   0%|          | 0/1 [00:00<?, ?it/s]"
       ]
      },
      "metadata": {},
@@ -187,7 +162,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "185025ed0c284481982459d85c8dbb1f",
+       "model_id": "98f4219952eb4e9bb8f60ad67f438454",
        "version_major": 2,
        "version_minor": 0
       },
@@ -201,7 +176,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ec660bd64a284df28a03705f56eea208",
+       "model_id": "9451a7fda27e4569968054028576999d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -216,8 +191,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 983 ms, sys: 101 ms, total: 1.08 s\n",
-      "Wall time: 18.3 s\n"
+      "CPU times: user 1.4 s, sys: 179 ms, total: 1.58 s\n",
+      "Wall time: 10.5 s\n"
      ]
     },
     {
@@ -586,25 +561,25 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 3kB\n",
        "Dimensions:           (bands: 285)\n",
        "Dimensions without coordinates: bands\n",
        "Data variables:\n",
-       "    wavelengths       (bands) float32 ...\n",
-       "    fwhm              (bands) float32 ...\n",
-       "    good_wavelengths  (bands) float32 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5bccc958-c146-4c96-bff3-3bb1192cabe4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5bccc958-c146-4c96-bff3-3bb1192cabe4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>bands</span>: 285</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1762f4af-4275-4de2-a60b-212974a37714' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1762f4af-4275-4de2-a60b-212974a37714' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a0ec6ab2-8789-423c-b8a5-68b7ad70c280' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a0ec6ab2-8789-423c-b8a5-68b7ad70c280' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>wavelengths</span></div><div class='xr-var-dims'>(bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e0a4ffbe-5053-4b11-a89a-cac8825f524d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0a4ffbe-5053-4b11-a89a-cac8825f524d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5354c83-0276-431a-913a-bcd675945ac4' class='xr-var-data-in' type='checkbox'><label for='data-d5354c83-0276-431a-913a-bcd675945ac4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wavelength Centers</dd><dt><span>units :</span></dt><dd>nm</dd></dl></div><div class='xr-var-data'><pre>[285 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fwhm</span></div><div class='xr-var-dims'>(bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3c8797e7-1c1b-4423-ae85-057084395786' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c8797e7-1c1b-4423-ae85-057084395786' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a54f045f-96b6-49c5-9266-e5615af70a7f' class='xr-var-data-in' type='checkbox'><label for='data-a54f045f-96b6-49c5-9266-e5615af70a7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Full Width at Half Max</dd><dt><span>units :</span></dt><dd>nm</dd></dl></div><div class='xr-var-data'><pre>[285 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>good_wavelengths</span></div><div class='xr-var-dims'>(bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-93a19519-a78f-4b37-9b63-fd503a602141' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93a19519-a78f-4b37-9b63-fd503a602141' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74aa0491-8340-4332-a2cc-d85b7aa96407' class='xr-var-data-in' type='checkbox'><label for='data-74aa0491-8340-4332-a2cc-d85b7aa96407' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wavelengths where reflectance is useable: 1 = good data, 0 = bad data</dd><dt><span>units :</span></dt><dd>unitless</dd></dl></div><div class='xr-var-data'><pre>[285 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e739f0a-61b0-4394-9f22-6e6de6d1b193' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2e739f0a-61b0-4394-9f22-6e6de6d1b193' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-db876828-0745-4d96-a611-e74dbe3f8be3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-db876828-0745-4d96-a611-e74dbe3f8be3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "    wavelengths       (bands) float32 1kB ...\n",
+       "    fwhm              (bands) float32 1kB ...\n",
+       "    good_wavelengths  (bands) float32 1kB ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b1b699f4-766b-4d09-8cbe-1d22a07ce34c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b1b699f4-766b-4d09-8cbe-1d22a07ce34c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>bands</span>: 285</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3e1c77f1-41a1-4173-ac5a-c42885b8aba8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3e1c77f1-41a1-4173-ac5a-c42885b8aba8' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-03e1951c-1120-435b-98d3-26366989e0bf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-03e1951c-1120-435b-98d3-26366989e0bf' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>wavelengths</span></div><div class='xr-var-dims'>(bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-08f2a7d3-bd0d-41fc-a46a-7472dfe19761' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08f2a7d3-bd0d-41fc-a46a-7472dfe19761' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18d24452-7612-492f-a326-47d2a56a166a' class='xr-var-data-in' type='checkbox'><label for='data-18d24452-7612-492f-a326-47d2a56a166a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wavelength Centers</dd><dt><span>units :</span></dt><dd>nm</dd></dl></div><div class='xr-var-data'><pre>[285 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fwhm</span></div><div class='xr-var-dims'>(bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d1b8ab05-42d0-4abd-ad53-beb2718843de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1b8ab05-42d0-4abd-ad53-beb2718843de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b43dba25-5b67-415e-9df1-ff527de84b8e' class='xr-var-data-in' type='checkbox'><label for='data-b43dba25-5b67-415e-9df1-ff527de84b8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Full Width at Half Max</dd><dt><span>units :</span></dt><dd>nm</dd></dl></div><div class='xr-var-data'><pre>[285 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>good_wavelengths</span></div><div class='xr-var-dims'>(bands)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca321b4b-ff16-471a-aec6-1147cd0ee4f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca321b4b-ff16-471a-aec6-1147cd0ee4f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df0b3402-29b5-4277-a4d8-8988208f56b0' class='xr-var-data-in' type='checkbox'><label for='data-df0b3402-29b5-4277-a4d8-8988208f56b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wavelengths where reflectance is useable: 1 = good data, 0 = bad data</dd><dt><span>units :</span></dt><dd>unitless</dd></dl></div><div class='xr-var-data'><pre>[285 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3fba5e55-9e87-4cbb-8a80-8dd5f46c7edd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3fba5e55-9e87-4cbb-8a80-8dd5f46c7edd' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ef9fd5ca-497d-456e-afec-d21e885c1e22' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ef9fd5ca-497d-456e-afec-d21e885c1e22' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.Dataset>\n",
+       "<xarray.Dataset> Size: 3kB\n",
        "Dimensions:           (bands: 285)\n",
        "Dimensions without coordinates: bands\n",
        "Data variables:\n",
-       "    wavelengths       (bands) float32 ...\n",
-       "    fwhm              (bands) float32 ...\n",
-       "    good_wavelengths  (bands) float32 ..."
+       "    wavelengths       (bands) float32 1kB ...\n",
+       "    fwhm              (bands) float32 1kB ...\n",
+       "    good_wavelengths  (bands) float32 1kB ..."
       ]
      },
-     "execution_count": 13,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -638,7 +613,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.16"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,
diff --git a/docs/howto/search-collections.md b/docs/howto/search-collections.md
index 9b4ee282..517b8629 100644
--- a/docs/howto/search-collections.md
+++ b/docs/howto/search-collections.md
@@ -1,3 +1,3 @@
 # how to search for data collections using spatial, temporal,  keyword filters
 
-Coming soon
\ No newline at end of file
+Coming soon
diff --git a/docs/howto/search-granules.md b/docs/howto/search-granules.md
index 06286eb9..2926dfa2 100644
--- a/docs/howto/search-granules.md
+++ b/docs/howto/search-granules.md
@@ -32,5 +32,3 @@ results = earthaccess.search_data(
 ```
 
 Now that we have our results we can do multiple things: We can iterate over them to get HTTP (or S3) links, we can download the files to a local folder, or we can open these files and stream their content directly to other libraries e.g. xarray.
-
-
diff --git a/docs/howto/storage-location.md b/docs/howto/storage-location.md
index f68773d1..83eac95a 100644
--- a/docs/howto/storage-location.md
+++ b/docs/howto/storage-location.md
@@ -1,3 +1,3 @@
 # Determine if a data set is on-prem or in the cloud
 
-Coming soon
\ No newline at end of file
+Coming soon
diff --git a/docs/resources.md b/docs/resources.md
index 2421c7c2..341d8d7d 100644
--- a/docs/resources.md
+++ b/docs/resources.md
@@ -5,5 +5,3 @@
 * [earthaccess @ AGU poster](https://docs.google.com/presentation/d/1OOSZzbHv6Ck4lzOE01FQdI4kX0VCfcVBS4pWCc7dtBo/edit?usp=sharing)
 
 * [NSIDC Cloud Data Access Guide](https://nsidc.org/data/user-resources/help-center/nasa-earthdata-cloud-data-access-guide)
-
-
diff --git a/docs/tutorials/dask.ipynb b/docs/tutorials/dask.ipynb
deleted file mode 100644
index 6170de47..00000000
--- a/docs/tutorials/dask.ipynb
+++ /dev/null
@@ -1,2131 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "8f552380-cc0a-4fb8-b4b3-276a6564b239",
-   "metadata": {},
-   "source": [
-    "# Analyzing NASA Data with Dask"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9e4dbac6-b20b-43c3-b64a-189a614a3fb9",
-   "metadata": {},
-   "source": [
-    "## Create cluster on AWS\n",
-    "\n",
-    "_This cell is all that's needed to run this analysis on a cluster_"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "cbd1ed19-c6db-427c-9076-2e6af892558d",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "ename": "ModuleNotFoundError",
-     "evalue": "No module named 'coiled'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
-      "File \u001b[0;32m<timed exec>:2\u001b[0m\n",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'coiled'"
-     ]
-    }
-   ],
-   "source": [
-    "%%time\n",
-    "\n",
-    "# Spin up a Coiled cluster in region us-west-2\n",
-    "import coiled\n",
-    "\n",
-    "cluster = coiled.Cluster(n_workers=20, region=\"us-west-2\")\n",
-    "client = cluster.get_client()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "4a30aadb-41d4-4c08-a6fa-5ea60c6bd695",
-   "metadata": {},
-   "source": [
-    "## Get data files with `earthaccess`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "899b10a6-51fc-4d97-96d2-54e81a8b8f7d",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "You're now authenticated with NASA Earthdata Login\n",
-      "Using token with expiration date: 08/04/2023\n",
-      "Using environment variables for EDL\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Authenticate my machine with `earthaccess`\n",
-    "import earthaccess\n",
-    "\n",
-    "earthaccess.login();"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "c9c3d184-ffff-494f-ad77-f6b2cc31f6c5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Define region bounding box\n",
-    "lon0, lat0 = -124.5, 36.5\n",
-    "dlon, dlat = 2.5, 2.0 # half of box width in lon/lat\n",
-    "lon_min, lon_max = lon0 - dlon, lon0 + dlon\n",
-    "lat_min, lat_max = lat0 - dlat, lat0 + dlat\n",
-    "\n",
-    "bounding_box = (lon_min, lat_min, lon_max, lat_max)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "8cad710e-9a9e-45fd-b2fd-f01990db37d6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Granules found: 196\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Retrieve data files for the dataset I'm interested in\n",
-    "results = earthaccess.search_data(\n",
-    "    short_name=\"VIIRS_NPP-STAR-L3U-v2.80\",\n",
-    "    concept_id=\"C2147485059-POCLOUD\",\n",
-    "    cloud_hosted=True,\n",
-    "    bounding_box=bounding_box,\n",
-    "    temporal=(\"2021-04-01\", \"2021-05-6\"),\n",
-    "    count=30, # For demo purposes\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "cbe32079-17f9-45a8-9601-c0fe21980183",
-   "metadata": {},
-   "source": [
-    "## Analyze data on my cluster with Xarray"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "a231efb7-0b37-48be-a432-74afbde099de",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " Opening 30 granules, approx size: 0.0 GB\n"
-     ]
-    },
-    {
-     "data": {
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-       "model_id": "38f7f8a98abb4fc780198d04f75c49fe",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "SUBMITTING | :   0%|          | 0/30 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
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-       "model_id": "594cca23d8c04e30b51331f154f82764",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "PROCESSING | :   0%|          | 0/30 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
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-    {
-     "data": {
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-      },
-      "text/plain": [
-       "COLLECTING | :   0%|          | 0/30 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CPU times: user 7.73 s, sys: 1.43 s, total: 9.16 s\n",
-      "Wall time: 44.3 s\n"
-     ]
-    },
-    {
-     "data": {
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-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
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-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-array-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
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-       "  padding-left: 0 !important;\n",
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-       "\n",
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:                  (lon: 18000, lat: 9000, time: 30)\n",
-       "Coordinates:\n",
-       "  * lon                      (lon) float32 -180.0 -180.0 -179.9 ... 180.0 180.0\n",
-       "  * lat                      (lat) float32 89.99 89.97 89.95 ... -89.97 -89.99\n",
-       "  * time                     (time) datetime64[ns] 2021-04-01T08:10:01 ... 20...\n",
-       "Data variables: (12/13)\n",
-       "    quality_level            (time, lat, lon) float32 dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;\n",
-       "    l2p_flags                (time, lat, lon) int16 dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;\n",
-       "    or_number_of_pixels      (time, lat, lon) float32 dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;\n",
-       "    sea_surface_temperature  (time, lat, lon) float32 dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;\n",
-       "    dt_analysis              (time, lat, lon) float32 dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;\n",
-       "    satellite_zenith_angle   (time, lat, lon) float32 dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;\n",
-       "    ...                       ...\n",
-       "    sses_standard_deviation  (time, lat, lon) float32 dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;\n",
-       "    wind_speed               (time, lat, lon) float32 dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;\n",
-       "    sst_dtime                (time, lat, lon) timedelta64[ns] dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;\n",
-       "    crs                      (time) int32 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0\n",
-       "    sst_gradient_magnitude   (time, lat, lon) float32 dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;\n",
-       "    sst_front_position       (time, lat, lon) float32 dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;\n",
-       "Attributes: (12/58)\n",
-       "    Conventions:                Conventions = CF-1.7, ACDD-1.3\n",
-       "    acknowledgement:            Please acknowledge the use of these data with...\n",
-       "    cdm_data_type:              grid\n",
-       "    comment:                    SSTs are a weighted average of the SSTs of co...\n",
-       "    creator_email:              Alex.Ignatov@noaa.gov\n",
-       "    creator_name:               Alex Ignatov\n",
-       "    ...                         ...\n",
-       "    col_start:                  2879\n",
-       "    col_count:                  3875\n",
-       "    l3u_bias_subskin_night:     0.034\n",
-       "    l3u_bias_subskin_day:       0.018\n",
-       "    l3u_bias_depth_night:       0.01\n",
-       "    l3u_bias_depth_day:         0.012</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7eba5990-9991-41f6-a3f2-48ded45bb4db' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7eba5990-9991-41f6-a3f2-48ded45bb4db' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 18000</li><li><span class='xr-has-index'>lat</span>: 9000</li><li><span class='xr-has-index'>time</span>: 30</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f5290e87-7863-4867-889d-6e9ed867156d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f5290e87-7863-4867-889d-6e9ed867156d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -180.0 ... 180.0 180.0</div><input id='attrs-be8c2fba-8014-4e37-987f-656908277b64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be8c2fba-8014-4e37-987f-656908277b64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fb6c432-efa7-406c-a8ec-352b14e4bb92' class='xr-var-data-in' type='checkbox'><label for='data-6fb6c432-efa7-406c-a8ec-352b14e4bb92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>comment :</span></dt><dd>Longitude for locating data</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-179.99, -179.97, -179.95, ...,  179.95,  179.97,  179.99],\n",
-       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>89.99 89.97 89.95 ... -89.97 -89.99</div><input id='attrs-19863762-aea7-44e5-a86a-98a2f1043ba2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19863762-aea7-44e5-a86a-98a2f1043ba2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de05ae70-d37f-47b4-901d-af0ff69dc410' class='xr-var-data-in' type='checkbox'><label for='data-de05ae70-d37f-47b4-901d-af0ff69dc410' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>comment :</span></dt><dd>Latitudes for locating data</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 89.99,  89.97,  89.95, ..., -89.95, -89.97, -89.99], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-04-01T08:10:01 ... 2021-04-...</div><input id='attrs-89eb8a30-fb6b-4410-b5d7-a6569da64345' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89eb8a30-fb6b-4410-b5d7-a6569da64345' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48cf6a95-2584-41ed-8eab-fdf26da5b6f2' class='xr-var-data-in' type='checkbox'><label for='data-48cf6a95-2584-41ed-8eab-fdf26da5b6f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>seconds since 1981-01-01 00:00:00</dd><dt><span>long_name :</span></dt><dd>reference time of sst file</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>coverage_content_type :</span></dt><dd>coordinate</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-04-01T08:10:01.000000000&#x27;, &#x27;2021-04-01T10:00:00.000000000&#x27;,\n",
-       "       &#x27;2021-04-01T11:40:01.000000000&#x27;, &#x27;2021-04-01T18:00:01.000000000&#x27;,\n",
-       "       &#x27;2021-04-01T19:40:01.000000000&#x27;, &#x27;2021-04-01T21:20:00.000000000&#x27;,\n",
-       "       &#x27;2021-04-02T09:40:00.000000000&#x27;, &#x27;2021-04-02T11:20:02.000000000&#x27;,\n",
-       "       &#x27;2021-04-02T19:20:01.000000000&#x27;, &#x27;2021-04-02T21:00:01.000000000&#x27;,\n",
-       "       &#x27;2021-04-03T09:20:01.000000000&#x27;, &#x27;2021-04-03T11:00:00.000000000&#x27;,\n",
-       "       &#x27;2021-04-03T19:00:01.000000000&#x27;, &#x27;2021-04-03T20:40:01.000000000&#x27;,\n",
-       "       &#x27;2021-04-03T22:20:01.000000000&#x27;, &#x27;2021-04-04T09:00:01.000000000&#x27;,\n",
-       "       &#x27;2021-04-04T10:40:01.000000000&#x27;, &#x27;2021-04-04T12:20:00.000000000&#x27;,\n",
-       "       &#x27;2021-04-04T20:20:01.000000000&#x27;, &#x27;2021-04-04T22:00:01.000000000&#x27;,\n",
-       "       &#x27;2021-04-05T08:40:01.000000000&#x27;, &#x27;2021-04-05T10:20:01.000000000&#x27;,\n",
-       "       &#x27;2021-04-05T12:00:01.000000000&#x27;, &#x27;2021-04-05T20:00:02.000000000&#x27;,\n",
-       "       &#x27;2021-04-05T21:40:01.000000000&#x27;, &#x27;2021-04-06T10:00:01.000000000&#x27;,\n",
-       "       &#x27;2021-04-06T11:40:01.000000000&#x27;, &#x27;2021-04-06T13:20:01.000000000&#x27;,\n",
-       "       &#x27;2021-04-06T19:40:00.000000000&#x27;, &#x27;2021-04-06T21:20:02.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-036a6f2e-b2af-427d-b5c4-e10f3ae5c701' class='xr-section-summary-in' type='checkbox'  checked><label for='section-036a6f2e-b2af-427d-b5c4-e10f3ae5c701' class='xr-section-summary' >Data variables: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>quality_level</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;</div><input id='attrs-f535e5b7-429b-464a-ae7e-1fda2a7fb74d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f535e5b7-429b-464a-ae7e-1fda2a7fb74d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84b5eaa1-11d7-44a4-93b7-b821e6350907' class='xr-var-data-in' type='checkbox'><label for='data-84b5eaa1-11d7-44a4-93b7-b821e6350907' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>5</dd><dt><span>long_name :</span></dt><dd>quality level of SST pixel</dd><dt><span>comment :</span></dt><dd>SST quality levels: 5 corresponds to “clear-sky” pixels and is recommended for operational applications and validation.</dd><dt><span>flag_meanings :</span></dt><dd>no_data bad_data not_used not_used not_used best_quality</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4 5]</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>coverage_content_type :</span></dt><dd>qualityInformation</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 18.10 GiB </td>\n",
-       "                        <td> 617.98 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (30, 9000, 18000) </td>\n",
-       "                        <td> (1, 9000, 18000) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 30 chunks in 61 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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-       "  <text x=\"7.474299\" y=\"87.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,87.474299)\">30</text>\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>l2p_flags</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;</div><input id='attrs-ffa665a1-3198-4387-b8a0-ac98fc502d61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffa665a1-3198-4387-b8a0-ac98fc502d61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dcd19d7-3189-4e77-9ae0-9b83a60ec95d' class='xr-var-data-in' type='checkbox'><label for='data-4dcd19d7-3189-4e77-9ae0-9b83a60ec95d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>L2P common flags in bits 1-6 and data provider flags (from ACSPO mask) in bits 9-16: bit01 (0=IR: 1=microwave); bit02 (0=ocean; 1=land); bit03 (0=no ice; 1=ice); bits04-08 (reserved,set to 0); bit09 (0=radiance valid; 1=invalid); bit10 (0=night; 1=day); bit11 (0=ocean; 1=land); bit12 (0=good quality data; 1=degraded quality data due to &quot;twilight&quot; region); bit13 (0=no glint; 1=glint); bit14 (0=no snow/ice; 1=snow/ice); bits15-16 (00=clear; 01=probably clear; 10=cloudy; 11=clear-sky mask undefined)</dd><dt><span>flag_masks :</span></dt><dd>[     1      2      4    256    512   1024   2048   4096   8192 -16384]</dd><dt><span>flag_meanings :</span></dt><dd>microwave land ice invalid day land twilight glint ice probably_clear_or_cloudy_or_undefined</dd><dt><span>long_name :</span></dt><dd>L2P flags</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>valid_min :</span></dt><dd>-32768</dd><dt><span>coverage_content_type :</span></dt><dd>thematicClassification</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 9.05 GiB </td>\n",
-       "                        <td> 308.99 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (30, 9000, 18000) </td>\n",
-       "                        <td> (1, 9000, 18000) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 30 chunks in 61 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> int16 numpy.ndarray </td>\n",
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-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>or_number_of_pixels</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;</div><input id='attrs-87d94a72-7a98-420e-ab78-a2c90f594625' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87d94a72-7a98-420e-ab78-a2c90f594625' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77fa48fe-4d94-4c57-8a8f-9cfdaa71442b' class='xr-var-data-in' type='checkbox'><label for='data-77fa48fe-4d94-4c57-8a8f-9cfdaa71442b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of pixels from the L2Ps contributing to the SST value</dd><dt><span>comment :</span></dt><dd>Original number of pixels from the L2Ps contributing to the SST value, not weighted</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>coverage_content_type :</span></dt><dd>referenceInformation</dd></dl></div><div class='xr-var-data'><table>\n",
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-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 18.10 GiB </td>\n",
-       "                        <td> 617.98 MiB </td>\n",
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-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
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-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 30 chunks in 61 graph layers </td>\n",
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-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
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-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_surface_temperature</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;</div><input id='attrs-bc0cc4b6-50e9-42d7-b37a-8bc91f1bcaa9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc0cc4b6-50e9-42d7-b37a-8bc91f1bcaa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e80f2007-696a-4784-894c-f23d26ec0585' class='xr-var-data-in' type='checkbox'><label for='data-e80f2007-696a-4784-894c-f23d26ec0585' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>SST obtained by regression with buoy measurements, sensitive to skin SST. Further information at (Petrenko et al., JGR, 2014; doi:10.1002/2013JD020637)</dd><dt><span>long_name :</span></dt><dd>sea surface sub-skin temperature</dd><dt><span>source :</span></dt><dd>NOAA</dd><dt><span>units :</span></dt><dd>kelvin</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>valid_min :</span></dt><dd>-200</dd><dt><span>standard_name :</span></dt><dd>sea_surface_subskin_temperature</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 18.10 GiB </td>\n",
-       "                        <td> 617.98 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (30, 9000, 18000) </td>\n",
-       "                        <td> (1, 9000, 18000) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 30 chunks in 61 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dt_analysis</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;</div><input id='attrs-05bb6605-aab6-47b7-8978-fed73f78b6fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05bb6605-aab6-47b7-8978-fed73f78b6fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c51398e1-8d1c-4607-bf4a-639826f188d5' class='xr-var-data-in' type='checkbox'><label for='data-c51398e1-8d1c-4607-bf4a-639826f188d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Deviation from reference SST, i.e., dt_analysis = SST - reference SST</dd><dt><span>long_name :</span></dt><dd>deviation from SST reference</dd><dt><span>source :</span></dt><dd>CMC0.1deg-CMC-L4-GLOB-v2.0</dd><dt><span>units :</span></dt><dd>kelvin</dd><dt><span>valid_max :</span></dt><dd>127</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>coverage_content_type :</span></dt><dd>qualityInformation</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 18.10 GiB </td>\n",
-       "                        <td> 617.98 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (30, 9000, 18000) </td>\n",
-       "                        <td> (1, 9000, 18000) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 30 chunks in 61 graph layers </td>\n",
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-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>satellite_zenith_angle</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;</div><input id='attrs-156b0213-92f2-482b-b3b9-f03e6ffdd043' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-156b0213-92f2-482b-b3b9-f03e6ffdd043' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac0d590c-d8ec-4bcd-964f-215aff0c26f9' class='xr-var-data-in' type='checkbox'><label for='data-ac0d590c-d8ec-4bcd-964f-215aff0c26f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>satellite zenith angle</dd><dt><span>long_name :</span></dt><dd>satellite zenith angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>valid_min :</span></dt><dd>-32767</dd><dt><span>coverage_content_type :</span></dt><dd>referenceInformation</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 18.10 GiB </td>\n",
-       "                        <td> 617.98 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (30, 9000, 18000) </td>\n",
-       "                        <td> (1, 9000, 18000) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 30 chunks in 61 graph layers </td>\n",
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-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst_dtime</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;</div><input id='attrs-dcc9d9cf-e608-4c1c-994f-57f9713c9530' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcc9d9cf-e608-4c1c-994f-57f9713c9530' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28fa4c5b-004c-46d8-84ed-49f400649180' class='xr-var-data-in' type='checkbox'><label for='data-28fa4c5b-004c-46d8-84ed-49f400649180' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>time plus sst_dtime gives seconds since 1981-01-01 00:00:00 UTC</dd><dt><span>long_name :</span></dt><dd>time difference from reference time</dd><dt><span>valid_max :</span></dt><dd>2147483647</dd><dt><span>valid_min :</span></dt><dd>-2147483647</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>coverage_content_type :</span></dt><dd>referenceInformation</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
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-       "                    <tr>\n",
-       "                        <td> </td>\n",
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-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 36.21 GiB </td>\n",
-       "                        <td> 1.21 GiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (30, 9000, 18000) </td>\n",
-       "                        <td> (1, 9000, 18000) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 30 chunks in 61 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> timedelta64[ns] numpy.ndarray </td>\n",
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-       "  <text x=\"7.474299\" y=\"87.474299\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,87.474299)\">30</text>\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-c54c73a8-2229-4f5e-9f0e-6111aa8e528e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c54c73a8-2229-4f5e-9f0e-6111aa8e528e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-483717cc-7d78-4ea8-b116-dad1de1bb380' class='xr-var-data-in' type='checkbox'><label for='data-483717cc-7d78-4ea8-b116-dad1de1bb380' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS84</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>long_name :</span></dt><dd>coordinate reference system</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
-       "       0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst_gradient_magnitude</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;</div><input id='attrs-9897d3a7-eeca-452a-aadb-af25ecbce624' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9897d3a7-eeca-452a-aadb-af25ecbce624' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f24fde34-9f3d-4c5a-84c9-527fcaf4a58e' class='xr-var-data-in' type='checkbox'><label for='data-f24fde34-9f3d-4c5a-84c9-527fcaf4a58e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>valid_min :</span></dt><dd>-32767</dd><dt><span>valid_max :</span></dt><dd>32767</dd><dt><span>long_name :</span></dt><dd>SST gradient magnitude value</dd><dt><span>comment :</span></dt><dd>Gradient magnitude calculated from SST field in all grids with valid SST</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>coverage_content_type :</span></dt><dd>physicalMeasurement</dd><dt><span>units :</span></dt><dd>kelvin/km</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 18.10 GiB </td>\n",
-       "                        <td> 617.98 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (30, 9000, 18000) </td>\n",
-       "                        <td> (1, 9000, 18000) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 30 chunks in 61 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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-       "        </td>\n",
-       "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst_front_position</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 9000, 18000), meta=np.ndarray&gt;</div><input id='attrs-3ff512aa-dde7-4750-a83a-9232553637d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ff512aa-dde7-4750-a83a-9232553637d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-095c50b7-a5ab-4459-9a8e-be7fb85838a5' class='xr-var-data-in' type='checkbox'><label for='data-095c50b7-a5ab-4459-9a8e-be7fb85838a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Binary indicator of SST front position in the valid SST clear-sky domain: 1 - SST front present, 0 - no front present</dd><dt><span>long_name :</span></dt><dd>Binary SST front position indicator</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>1</dd><dt><span>coverage_content_type :</span></dt><dd>image</dd></dl></div><div class='xr-var-data'><table>\n",
-       "    <tr>\n",
-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
-       "                        <th> Array </th>\n",
-       "                        <th> Chunk </th>\n",
-       "                    </tr>\n",
-       "                </thead>\n",
-       "                <tbody>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Bytes </th>\n",
-       "                        <td> 18.10 GiB </td>\n",
-       "                        <td> 617.98 MiB </td>\n",
-       "                    </tr>\n",
-       "                    \n",
-       "                    <tr>\n",
-       "                        <th> Shape </th>\n",
-       "                        <td> (30, 9000, 18000) </td>\n",
-       "                        <td> (1, 9000, 18000) </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Dask graph </th>\n",
-       "                        <td colspan=\"2\"> 30 chunks in 61 graph layers </td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th> Data type </th>\n",
-       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
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-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-45381940-988e-4c2a-83e1-a8656ef6afd1' class='xr-section-summary-in' type='checkbox'  ><label for='section-45381940-988e-4c2a-83e1-a8656ef6afd1' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1670044d-cfe9-4798-bef0-50f8da2db5f1' class='xr-index-data-in' type='checkbox'/><label for='index-1670044d-cfe9-4798-bef0-50f8da2db5f1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.99000549316406, -179.97000122070312,  -179.9499969482422,\n",
-       "       -179.92999267578125, -179.91000366210938, -179.88999938964844,\n",
-       "        -179.8699951171875, -179.85000610351562,  -179.8300018310547,\n",
-       "       -179.80999755859375,\n",
-       "       ...\n",
-       "        179.80999755859375,   179.8300018310547,  179.85000610351562,\n",
-       "         179.8699951171875,  179.88999938964844,  179.91000366210938,\n",
-       "        179.92999267578125,   179.9499969482422,  179.97000122070312,\n",
-       "        179.99000549316406],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=18000))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bf44dc28-4180-4a5d-b8ce-4dc0ccc8f4e1' class='xr-index-data-in' type='checkbox'/><label for='index-bf44dc28-4180-4a5d-b8ce-4dc0ccc8f4e1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 89.98999786376953,  89.97000122070312,  89.94999694824219,\n",
-       "        89.93000030517578,  89.91000366210938,  89.88999938964844,\n",
-       "        89.87000274658203,   89.8499984741211,  89.83000183105469,\n",
-       "        89.80999755859375,\n",
-       "       ...\n",
-       "       -89.80999755859375, -89.83000183105469,  -89.8499984741211,\n",
-       "       -89.87000274658203, -89.88999938964844, -89.91000366210938,\n",
-       "       -89.93000030517578, -89.94999694824219, -89.97000122070312,\n",
-       "       -89.98999786376953],\n",
-       "      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;, length=9000))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c17c7906-6d78-49cb-aaca-c35a84b6d2be' class='xr-index-data-in' type='checkbox'/><label for='index-c17c7906-6d78-49cb-aaca-c35a84b6d2be' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2021-04-01 08:10:01&#x27;, &#x27;2021-04-01 10:00:00&#x27;,\n",
-       "               &#x27;2021-04-01 11:40:01&#x27;, &#x27;2021-04-01 18:00:01&#x27;,\n",
-       "               &#x27;2021-04-01 19:40:01&#x27;, &#x27;2021-04-01 21:20:00&#x27;,\n",
-       "               &#x27;2021-04-02 09:40:00&#x27;, &#x27;2021-04-02 11:20:02&#x27;,\n",
-       "               &#x27;2021-04-02 19:20:01&#x27;, &#x27;2021-04-02 21:00:01&#x27;,\n",
-       "               &#x27;2021-04-03 09:20:01&#x27;, &#x27;2021-04-03 11:00:00&#x27;,\n",
-       "               &#x27;2021-04-03 19:00:01&#x27;, &#x27;2021-04-03 20:40:01&#x27;,\n",
-       "               &#x27;2021-04-03 22:20:01&#x27;, &#x27;2021-04-04 09:00:01&#x27;,\n",
-       "               &#x27;2021-04-04 10:40:01&#x27;, &#x27;2021-04-04 12:20:00&#x27;,\n",
-       "               &#x27;2021-04-04 20:20:01&#x27;, &#x27;2021-04-04 22:00:01&#x27;,\n",
-       "               &#x27;2021-04-05 08:40:01&#x27;, &#x27;2021-04-05 10:20:01&#x27;,\n",
-       "               &#x27;2021-04-05 12:00:01&#x27;, &#x27;2021-04-05 20:00:02&#x27;,\n",
-       "               &#x27;2021-04-05 21:40:01&#x27;, &#x27;2021-04-06 10:00:01&#x27;,\n",
-       "               &#x27;2021-04-06 11:40:01&#x27;, &#x27;2021-04-06 13:20:01&#x27;,\n",
-       "               &#x27;2021-04-06 19:40:00&#x27;, &#x27;2021-04-06 21:20:02&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ee339fa7-0773-47f3-a5dd-d78d392c0bbc' class='xr-section-summary-in' type='checkbox'  ><label for='section-ee339fa7-0773-47f3-a5dd-d78d392c0bbc' class='xr-section-summary' >Attributes: <span>(58)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>Conventions = CF-1.7, ACDD-1.3</dd><dt><span>acknowledgement :</span></dt><dd>Please acknowledge the use of these data with the following statement: These data were provided by Group for High Resolution Sea Surface Temperature (GHRSST) and the National Oceanic and Atmospheric Administration (NOAA).</dd><dt><span>cdm_data_type :</span></dt><dd>grid</dd><dt><span>comment :</span></dt><dd>SSTs are a weighted average of the SSTs of contributing pixels. WARNING: some applications are unable to properly handle signed byte values. If byte values &gt; 127 are encountered, subtract 256 from this reported value.</dd><dt><span>creator_email :</span></dt><dd>Alex.Ignatov@noaa.gov</dd><dt><span>creator_name :</span></dt><dd>Alex Ignatov</dd><dt><span>creator_url :</span></dt><dd>http://www.star.nesdis.noaa.gov</dd><dt><span>date_created :</span></dt><dd>20210525T183942Z</dd><dt><span>file_quality_level :</span></dt><dd>2</dd><dt><span>gds_version_id :</span></dt><dd>02.0</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.02</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.02</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>history :</span></dt><dd>Created by the L2-to-L3 conversion tool,  which was developed and provided by NOAA/NESDIS/STAR and CCNY. The version is 4.6.9</dd><dt><span>id :</span></dt><dd>VIIRS_NPP-STAR-L3U-v2.8</dd><dt><span>institution :</span></dt><dd>NOAA/NESDIS/STAR</dd><dt><span>keywords :</span></dt><dd>Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>license :</span></dt><dd>GHRSST protocol describes data use as free and open</dd><dt><span>metadata_link :</span></dt><dd>http://podaac.jpl.nasa.gov/ws/metadata/dataset/?format=iso&amp;shortName=VIIRS_NPP-STAR-L3U-v2.8</dd><dt><span>naming_authority :</span></dt><dd>org.ghrsst</dd><dt><span>netcdf_version_id :</span></dt><dd>4.7.4 of Dec  1 2020 16:57:29 $</dd><dt><span>easternmost_longitude :</span></dt><dd>-45.13</dd><dt><span>northernmost_latitude :</span></dt><dd>75.11</dd><dt><span>southernmost_latitude :</span></dt><dd>35.01</dd><dt><span>westernmost_longitude :</span></dt><dd>-122.21</dd><dt><span>platform :</span></dt><dd>NPP</dd><dt><span>processing_level :</span></dt><dd>L3U</dd><dt><span>product_version :</span></dt><dd>L2 algorithm V2.80; L3 algorithm V4.6.9</dd><dt><span>project :</span></dt><dd>Group for High Resolution Sea Surface Temperature</dd><dt><span>publisher_email :</span></dt><dd>ghrsst-po@nceo.ac.uk</dd><dt><span>publisher_name :</span></dt><dd>The GHRSST Project Office</dd><dt><span>publisher_url :</span></dt><dd>http://www.ghrsst.org</dd><dt><span>references :</span></dt><dd>Data convention: GHRSST Data Specification (GDS) v2.0. Algorithms: ACSPO-VIIRS ATBD (NOAA/NESDIS/STAR)</dd><dt><span>sensor :</span></dt><dd>VIIRS</dd><dt><span>source :</span></dt><dd>l2p_source : 20210401081000-STAR-L2P_GHRSST-SSTsubskin-VIIRS_NPP-ACSPO_V2.80-v02.0-fv01.0.nc</dd><dt><span>spatial_resolution :</span></dt><dd>0.02 deg</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v26, 08 November 2013)</dd><dt><span>start_time :</span></dt><dd>20210401T081000Z</dd><dt><span>stop_time :</span></dt><dd>20210401T081959Z</dd><dt><span>summary :</span></dt><dd>Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office from VIIRS sensor</dd><dt><span>time_coverage_end :</span></dt><dd>20210401T081959Z</dd><dt><span>time_coverage_start :</span></dt><dd>20210401T081000Z</dd><dt><span>title :</span></dt><dd>VIIRS L3U SST</dd><dt><span>uuid :</span></dt><dd>91780e6b-4245-4f83-bbf9-b91301178dcc</dd><dt><span>aggregator_version :</span></dt><dd>V1.00</dd><dt><span>preprocessor_version :</span></dt><dd>1.15.0</dd><dt><span>sst_luts :</span></dt><dd>LUT_VIIRS_NPP_L2P_DEPTH_DAY_V01.05_20201216.txt,</dd><dt><span>geospatial_bounds :</span></dt><dd>POLYGON((-114.603  40.300, -122.210  74.330,  -45.126  62.879,  -80.196  35.016, -114.603  40.300))</dd><dt><span>row_start :</span></dt><dd>742</dd><dt><span>row_count :</span></dt><dd>2010</dd><dt><span>col_start :</span></dt><dd>2879</dd><dt><span>col_count :</span></dt><dd>3875</dd><dt><span>l3u_bias_subskin_night :</span></dt><dd>0.034</dd><dt><span>l3u_bias_subskin_day :</span></dt><dd>0.018</dd><dt><span>l3u_bias_depth_night :</span></dt><dd>0.01</dd><dt><span>l3u_bias_depth_day :</span></dt><dd>0.012</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:                  (lon: 18000, lat: 9000, time: 30)\n",
-       "Coordinates:\n",
-       "  * lon                      (lon) float32 -180.0 -180.0 -179.9 ... 180.0 180.0\n",
-       "  * lat                      (lat) float32 89.99 89.97 89.95 ... -89.97 -89.99\n",
-       "  * time                     (time) datetime64[ns] 2021-04-01T08:10:01 ... 20...\n",
-       "Data variables: (12/13)\n",
-       "    quality_level            (time, lat, lon) float32 dask.array<chunksize=(1, 9000, 18000), meta=np.ndarray>\n",
-       "    l2p_flags                (time, lat, lon) int16 dask.array<chunksize=(1, 9000, 18000), meta=np.ndarray>\n",
-       "    or_number_of_pixels      (time, lat, lon) float32 dask.array<chunksize=(1, 9000, 18000), meta=np.ndarray>\n",
-       "    sea_surface_temperature  (time, lat, lon) float32 dask.array<chunksize=(1, 9000, 18000), meta=np.ndarray>\n",
-       "    dt_analysis              (time, lat, lon) float32 dask.array<chunksize=(1, 9000, 18000), meta=np.ndarray>\n",
-       "    satellite_zenith_angle   (time, lat, lon) float32 dask.array<chunksize=(1, 9000, 18000), meta=np.ndarray>\n",
-       "    ...                       ...\n",
-       "    sses_standard_deviation  (time, lat, lon) float32 dask.array<chunksize=(1, 9000, 18000), meta=np.ndarray>\n",
-       "    wind_speed               (time, lat, lon) float32 dask.array<chunksize=(1, 9000, 18000), meta=np.ndarray>\n",
-       "    sst_dtime                (time, lat, lon) timedelta64[ns] dask.array<chunksize=(1, 9000, 18000), meta=np.ndarray>\n",
-       "    crs                      (time) int32 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0\n",
-       "    sst_gradient_magnitude   (time, lat, lon) float32 dask.array<chunksize=(1, 9000, 18000), meta=np.ndarray>\n",
-       "    sst_front_position       (time, lat, lon) float32 dask.array<chunksize=(1, 9000, 18000), meta=np.ndarray>\n",
-       "Attributes: (12/58)\n",
-       "    Conventions:                Conventions = CF-1.7, ACDD-1.3\n",
-       "    acknowledgement:            Please acknowledge the use of these data with...\n",
-       "    cdm_data_type:              grid\n",
-       "    comment:                    SSTs are a weighted average of the SSTs of co...\n",
-       "    creator_email:              Alex.Ignatov@noaa.gov\n",
-       "    creator_name:               Alex Ignatov\n",
-       "    ...                         ...\n",
-       "    col_start:                  2879\n",
-       "    col_count:                  3875\n",
-       "    l3u_bias_subskin_night:     0.034\n",
-       "    l3u_bias_subskin_day:       0.018\n",
-       "    l3u_bias_depth_night:       0.01\n",
-       "    l3u_bias_depth_day:         0.012"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "%%time\n",
-    "\n",
-    "# Open data files with Xarray\n",
-    "\n",
-    "import xarray as xr\n",
-    "\n",
-    "ds = xr.open_mfdataset(earthaccess.open(results))\n",
-    "ds"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "546cea9d-5cd8-406b-aea6-b64dd24b1755",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CPU times: user 266 ms, sys: 71.1 ms, total: 337 ms\n",
-      "Wall time: 35 s\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "%%time\n",
-    "\n",
-    "# Compute and plot some results from the dataset\n",
-    "\n",
-    "result = ds.sea_surface_temperature.notnull().mean({'lon','lat'}).compute()\n",
-    "result.plot();"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9de61942-ed61-4668-ac67-e1b48375c965",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.16"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/docs/user-reference/collections/collections-query.md b/docs/user-reference/collections/collections-query.md
index e554278f..a59e6926 100644
--- a/docs/user-reference/collections/collections-query.md
+++ b/docs/user-reference/collections/collections-query.md
@@ -7,4 +7,3 @@
         show_source: false
         inherited_members: true
     show_source: false
-
diff --git a/docs/user-reference/collections/collections.md b/docs/user-reference/collections/collections.md
index c877360b..e83628b9 100644
--- a/docs/user-reference/collections/collections.md
+++ b/docs/user-reference/collections/collections.md
@@ -5,4 +5,3 @@
       inherited_members: true
     show_root_heading: true
     show_source: false
-
diff --git a/docs/user-reference/granules/granules-query.md b/docs/user-reference/granules/granules-query.md
index 78120c0d..75f1adb2 100644
--- a/docs/user-reference/granules/granules-query.md
+++ b/docs/user-reference/granules/granules-query.md
@@ -8,4 +8,3 @@
       inherited_members: true
     show_root_heading: true
     show_source: false
-
diff --git a/docs/user-reference/granules/granules.md b/docs/user-reference/granules/granules.md
index 788949ef..e0bbd2c2 100644
--- a/docs/user-reference/granules/granules.md
+++ b/docs/user-reference/granules/granules.md
@@ -5,6 +5,3 @@
       inherited_members: true
     show_root_heading: true
     show_source: false
-
-
-
diff --git a/earthaccess/__init__.py b/earthaccess/__init__.py
index 6db81f92..8d399945 100644
--- a/earthaccess/__init__.py
+++ b/earthaccess/__init__.py
@@ -61,8 +61,7 @@
 
 
 def __getattr__(name):  # type: ignore
-    """
-    Module-level getattr to handle automatic authentication when accessing
+    """Module-level getattr to handle automatic authentication when accessing
     `earthaccess.__auth__` and `earthaccess.__store__`.
 
     Other unhandled attributes raise as `AttributeError` as expected.
diff --git a/earthaccess/api.py b/earthaccess/api.py
index 5e82fd60..8522dbbb 100644
--- a/earthaccess/api.py
+++ b/earthaccess/api.py
@@ -268,7 +268,7 @@ def collection_query() -> CollectionQuery:
 
 
 def granule_query() -> GranuleQuery:
-    """Returns a query builder instance for data granules
+    """Returns a query builder instance for data granules.
 
     Returns:
         a query builder instance for data granules.
diff --git a/earthaccess/auth.py b/earthaccess/auth.py
index 9c103325..0efeca84 100644
--- a/earthaccess/auth.py
+++ b/earthaccess/auth.py
@@ -25,8 +25,7 @@
 
 
 class SessionWithHeaderRedirection(requests.Session):
-    """
-    Requests removes auth headers if the redirect happens outside the
+    """Requests removes auth headers if the redirect happens outside the
     original req domain.
     """
 
@@ -48,9 +47,8 @@ def __init__(
         if username and password:
             self.auth = (username, password)
 
-    # Overrides from the library to keep headers when redirected to or from
-    # the NASA auth host.
     def rebuild_auth(self, prepared_request: Any, response: Any) -> None:
+        """Overrides from the library to keep headers when redirected to or from the NASA auth host."""
         headers = prepared_request.headers
         url = prepared_request.url
 
@@ -94,7 +92,7 @@ def login(
                 * **"environment"**:
                     Retrieve a username and password from $EARTHDATA_USERNAME and $EARTHDATA_PASSWORD.
             persist: Will persist credentials in a `.netrc` file.
-            system (Env): the EDL endpoint to log in to Earthdata, defaults to PROD
+            system: the EDL endpoint to log in to Earthdata, defaults to PROD
 
         Returns:
             An instance of Auth.
@@ -133,6 +131,7 @@ def _set_earthdata_system(self, system: System) -> None:
 
     def refresh_tokens(self) -> bool:
         """Refresh CMR tokens.
+
         Tokens are used to do authenticated queries on CMR for restricted and early access datasets.
         This method renews the tokens to make sure we can query the collections allowed to our EDL user.
         """
@@ -189,6 +188,7 @@ def get_s3_credentials(
         endpoint: Optional[str] = None,
     ) -> Dict[str, str]:
         """Gets AWS S3 credentials for a given NASA cloud provider.
+
         The easier way is to use the DAAC short name; provider is optional if we know it.
 
         Parameters:
diff --git a/earthaccess/daac.py b/earthaccess/daac.py
index 896ffdfa..2812cb4b 100644
--- a/earthaccess/daac.py
+++ b/earthaccess/daac.py
@@ -106,18 +106,6 @@
 ]
 
 
-CLOUD_PROVIDERS = [
-    "GES_DISC",
-    "LPCLOUD",
-    "NSIDC_CPRD",
-    "POCLOUD",
-    "ASF",
-    "GHRC_DAAC",
-    "ORNL_CLOUD",
-    "LAADS",
-    "LARC_CLOUD",
-]
-
 # Some testing urls behind EDL
 DAAC_TEST_URLS = [
     "https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/JASON_CS_S6A_L2_ALT_LR_STD_OST_NRT_F/",
diff --git a/earthaccess/formatters.py b/earthaccess/formatters.py
index d022e9ee..0317ee79 100644
--- a/earthaccess/formatters.py
+++ b/earthaccess/formatters.py
@@ -7,7 +7,7 @@
 
 
 def _load_static_files() -> List[str]:
-    """Load styles"""
+    """Load styles."""
     return [
         importlib_resources.files("earthaccess.css").joinpath(fname).read_text("utf8")
         for fname in STATIC_FILES
diff --git a/earthaccess/results.py b/earthaccess/results.py
index 6d91ca7e..18fae5cb 100644
--- a/earthaccess/results.py
+++ b/earthaccess/results.py
@@ -94,9 +94,10 @@ def summary(self) -> Dict[str, Any]:
         return summary_dict
 
     def get_umm(self, umm_field: str) -> Union[str, Dict[str, Any]]:
-        """
+        """Placeholder.
+
         Parameters:
-            umm_field: Valid UMM item, i.e. `TemporalExtent`
+            umm_field: Valid UMM item, i.e. `TemporalExtent`.
 
         Returns:
             The value of a given field inside the UMM (Unified Metadata Model).
@@ -106,15 +107,16 @@ def get_umm(self, umm_field: str) -> Union[str, Dict[str, Any]]:
         return ""
 
     def concept_id(self) -> str:
-        """
+        """Placeholder.
+
         Returns:
-            A collection's `concept_id`.
-                This id is the most relevant search field on granule queries.
+            A collection's `concept_id`.This id is the most relevant search field on granule queries.
         """
         return self["meta"]["concept-id"]
 
     def data_type(self) -> str:
-        """
+        """Placeholder.
+
         Returns:
             The collection data type, i.e. HDF5, CSV etc., if available.
         """
@@ -127,7 +129,8 @@ def data_type(self) -> str:
         return ""
 
     def version(self) -> str:
-        """
+        """Placeholder.
+
         Returns:
             The collection's version.
         """
@@ -136,16 +139,18 @@ def version(self) -> str:
         return ""
 
     def abstract(self) -> str:
-        """
+        """Placeholder.
+
         Returns:
-            The abstract of a collection
+            The abstract of a collection.
         """
         if "Abstract" in self["umm"]:
             return self["umm"]["Abstract"]
         return ""
 
     def landing_page(self) -> str:
-        """
+        """Placeholder.
+
         Returns:
             The first landing page for the collection (can be many), if available.
         """
@@ -155,7 +160,8 @@ def landing_page(self) -> str:
         return ""
 
     def get_data(self) -> List[str]:
-        """
+        """Placeholder.
+
         Returns:
             The GET DATA links (usually a landing page link, a DAAC portal, or an FTP location).
         """
@@ -163,10 +169,10 @@ def get_data(self) -> List[str]:
         return links
 
     def s3_bucket(self) -> Dict[str, Any]:
-        """
+        """Placeholder.
+
         Returns:
-            The S3 bucket information if the collection has it.
-                (**cloud hosted collections only**)
+            The S3 bucket information if the collection has it (**cloud hosted collections only**).
         """
         if "DirectDistributionInformation" in self["umm"]:
             return self["umm"]["DirectDistributionInformation"]
@@ -214,7 +220,8 @@ def __init__(
             self.render_dict = self._filter_fields_(fields)
 
     def __repr__(self) -> str:
-        """
+        """Placeholder.
+
         Returns:
             A basic representation of a data granule.
         """
@@ -229,7 +236,8 @@ def __repr__(self) -> str:
         return rep_str
 
     def _repr_html_(self) -> str:
-        """
+        """Placeholder.
+
         Returns:
             A rich representation for a data granule if we are in a Jupyter notebook.
         """
@@ -243,7 +251,8 @@ def get_s3_credentials_endpoint(self) -> Union[str, None]:
         return None
 
     def size(self) -> float:
-        """
+        """Placeholder.
+
         Returns:
             The total size for the granule in MB.
         """
@@ -284,7 +293,9 @@ def _derive_s3_link(self, links: List[str]) -> List[str]:
     def data_links(
         self, access: Optional[str] = None, in_region: bool = False
     ) -> List[str]:
-        """Returns the data links from a granule.
+        """Placeholder.
+
+        Returns the data links from a granule.
 
         Parameters:
             access: direct or external.
@@ -325,7 +336,8 @@ def data_links(
                 return https_links
 
     def dataviz_links(self) -> List[str]:
-        """
+        """Placeholder.
+
         Returns:
             The data visualization links, usually the browse images.
         """
diff --git a/earthaccess/search.py b/earthaccess/search.py
index 13f8c315..189bbca0 100644
--- a/earthaccess/search.py
+++ b/earthaccess/search.py
@@ -33,8 +33,7 @@ def get_results(
     query: Union[CollectionQuery, GranuleQuery],
     limit: int = 2000,
 ) -> List[Any]:
-    """
-    Get all results up to some limit, even if spanning multiple pages.
+    """Get all results up to some limit, even if spanning multiple pages.
 
     ???+ Tip
         The default page size is 2000, if the supplied value is greater then the
@@ -50,7 +49,6 @@ def get_results(
     Raises:
         RuntimeError: The CMR query failed.
     """
-
     page_size = min(limit, 2000)
     url = query._build_url()
 
@@ -79,7 +77,8 @@ def get_results(
 
 
 class DataCollections(CollectionQuery):
-    """
+    """Placeholder.
+
     ???+ Info
         The DataCollection class queries against
         https://cmr.earthdata.nasa.gov/search/collections.umm_json,
@@ -115,8 +114,9 @@ def __init__(self, auth: Optional[Auth] = None, *args: Any, **kwargs: Any) -> No
 
     @override
     def hits(self) -> int:
-        """Returns the number of hits the current query will return. This is done by
-        making a lightweight query to CMR and inspecting the returned headers.
+        """Returns the number of hits the current query will return.
+
+        This is done by making a lightweight query to CMR and inspecting the returned headers.
         Restricted datasets will always return zero results even if there are results.
 
         Returns:
@@ -156,7 +156,6 @@ def get(self, limit: int = 2000) -> List[DataCollection]:
         Raises:
             RuntimeError: The CMR query failed.
         """
-
         return [
             DataCollection(collection, self._fields)
             for collection in get_results(self.session, self, limit)
@@ -226,7 +225,7 @@ def doi(self, doi: str) -> Self:
         return self
 
     def instrument(self, instrument: str) -> Self:
-        """Searh datasets by instrument.
+        """Search datasets by instrument.
 
         ???+ Tip
             Not all datasets have an associated instrument. This works
@@ -248,7 +247,7 @@ def instrument(self, instrument: str) -> Self:
         return self
 
     def project(self, project: str) -> Self:
-        """Searh datasets by associated project.
+        """Search datasets by associated project.
 
         ???+ Tip
             Not all datasets have an associated project. This works
@@ -442,7 +441,6 @@ def temporal(
                 object; or `date_from` and `date_to` are both datetime objects (or
                 parsable as such) and `date_from` is after `date_to`.
         """
-
         return super().temporal(date_from, date_to, exclude_boundary)
 
 
@@ -472,6 +470,7 @@ def __init__(self, auth: Optional[Auth] = None, *args: Any, **kwargs: Any) -> No
     @override
     def hits(self) -> int:
         """Returns the number of hits the current query will return.
+
         This is done by making a lightweight query to CMR and inspecting the returned
         headers.
 
@@ -481,7 +480,6 @@ def hits(self) -> int:
         Raises:
             RuntimeError: The CMR query failed.
         """
-
         url = self._build_url()
 
         response = self.session.get(url, headers=self.headers, params={"page_size": 0})
@@ -565,6 +563,7 @@ def parameters(self, **kwargs: Any) -> Self:
     @override
     def provider(self, provider: str) -> Self:
         """Only match collections from a given provider.
+
         A NASA datacenter or DAAC can have one or more providers.
         For example, PODAAC is a data center or DAAC,
         PODAAC is the default provider for on-prem data, and POCLOUD is
@@ -842,7 +841,6 @@ def temporal(
                 object; or `date_from` and `date_to` are both datetime objects (or
                 parsable as such) and `date_from` is after `date_to`.
         """
-
         return super().temporal(date_from, date_to, exclude_boundary)
 
     @override
@@ -969,7 +967,6 @@ def doi(self, doi: str) -> Self:
         Raises:
             RuntimeError: The CMR query to get the collection for the DOI fails.
         """
-
         # TODO consider deferring this query until the search is executed
         collection = DataCollections().doi(doi).get()
 
diff --git a/earthaccess/store.py b/earthaccess/store.py
index fa0e8a99..147e6ce8 100644
--- a/earthaccess/store.py
+++ b/earthaccess/store.py
@@ -165,6 +165,7 @@ def set_requests_session(
         self, url: str, method: str = "get", bearer_token: bool = False
     ) -> None:
         """Sets up a `requests` session with bearer tokens that are used by CMR.
+
         Mainly used to get the authentication cookies from different DAACs and URS.
         This HTTPS session can be used to download granules if we want to use a direct,
         lower level API.
@@ -265,6 +266,7 @@ def get_s3fs_session(
     @lru_cache
     def get_fsspec_session(self) -> fsspec.AbstractFileSystem:
         """Returns a fsspec HTTPS session with bearer tokens that are used by CMR.
+
         This HTTPS session can be used to download granules if we want to use a direct,
         lower level API.
 
@@ -283,6 +285,7 @@ def get_fsspec_session(self) -> fsspec.AbstractFileSystem:
 
     def get_requests_session(self, bearer_token: bool = True) -> requests.Session:
         """Returns a requests HTTPS session with bearer tokens that are used by CMR.
+
         This HTTPS session can be used to download granules if we want to use a direct,
         lower level API.
 
diff --git a/mkdocs.yml b/mkdocs.yml
index 579e0787..ab48481f 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -46,6 +46,10 @@ plugins:
           rendering:
             show_root_heading: false
             show_source: false
+  - redirects:
+      redirect_maps:
+        'CODE_OF_CONDUCT.md': 'contributing/code-of-conduct.md'
+        'CODE_OF_CONDUCT.md.md': 'contributing/code-of-conduct.md'
   - mkdocs-jupyter:
       execute: True
       ignore:
@@ -60,6 +64,8 @@ nav:
       - "Development": "contributing/development.md"
       - "Releasing": "contributing/releasing.md"
       - "Our meet-ups": "contributing/our-meet-ups.md"
+      - "Maintainers Guide": "contributing/maintainers-guide.md"
+      - "Code of Conduct": "contributing/code-of-conduct.md"
   - "Resources": "resources.md"
   - USER GUIDE:
       - "user_guide/index.md"
diff --git a/poetry.lock b/poetry.lock
index b587228b..10e0260f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,109 +1,109 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiobotocore"
-version = "2.12.1"
+version = "2.13.0"
 description = "Async client for aws services using botocore and aiohttp"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiobotocore-2.12.1-py3-none-any.whl", hash = "sha256:6a9a3d646cf422f45fdc1e4256e78563ebffba64733bc9b8ca9123614e8ba9af"},
-    {file = "aiobotocore-2.12.1.tar.gz", hash = "sha256:8706b28f16f93c541f6ed50352115a79d8f3499539f8d0bb70aa0f7a5379c1fe"},
+    {file = "aiobotocore-2.13.0-py3-none-any.whl", hash = "sha256:f812afc678d71b0038fd1ce712ff111ab7f47bab81ce5b4c7d222d4b83bc0cb2"},
+    {file = "aiobotocore-2.13.0.tar.gz", hash = "sha256:4badf5cab6ad400216319d14278e2c99ad9b708e28a0f231605a412e632de401"},
 ]
 
 [package.dependencies]
-aiohttp = ">=3.7.4.post0,<4.0.0"
+aiohttp = ">=3.9.2,<4.0.0"
 aioitertools = ">=0.5.1,<1.0.0"
-botocore = ">=1.34.41,<1.34.52"
+botocore = ">=1.34.70,<1.34.107"
 wrapt = ">=1.10.10,<2.0.0"
 
 [package.extras]
-awscli = ["awscli (>=1.32.41,<1.32.52)"]
-boto3 = ["boto3 (>=1.34.41,<1.34.52)"]
+awscli = ["awscli (>=1.32.70,<1.32.107)"]
+boto3 = ["boto3 (>=1.34.70,<1.34.107)"]
 
 [[package]]
 name = "aiohttp"
-version = "3.9.4"
+version = "3.9.5"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "aiohttp-3.9.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:d1469f228cd9ffddd396d9948b8c9cd8022b6d1bf1e40c6f25b0fb90b4f893ed"},
+    {file = "aiohttp-3.9.5-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:45731330e754f5811c314901cebdf19dd776a44b31927fa4b4dbecab9e457b0c"},
+    {file = "aiohttp-3.9.5-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:3fcb4046d2904378e3aeea1df51f697b0467f2aac55d232c87ba162709478c46"},
+    {file = "aiohttp-3.9.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8cf142aa6c1a751fcb364158fd710b8a9be874b81889c2bd13aa8893197455e2"},
+    {file = "aiohttp-3.9.5-cp39-cp39-win32.whl", hash = "sha256:7b179eea70833c8dee51ec42f3b4097bd6370892fa93f510f76762105568cf09"},
+    {file = "aiohttp-3.9.5-cp39-cp39-win_amd64.whl", hash = "sha256:38d80498e2e169bc61418ff36170e0aad0cd268da8b38a17c4cf29d254a8b3f1"},
+    {file = "aiohttp-3.9.5.tar.gz", hash = "sha256:edea7d15772ceeb29db4aff55e482d4bcfb6ae160ce144f2682de02f6d693551"},
 ]
 
 [package.dependencies]
@@ -147,27 +147,24 @@ frozenlist = ">=1.1.0"
 
 [[package]]
 name = "annotated-types"
-version = "0.6.0"
+version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
-    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
-[package.dependencies]
-typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
-
 [[package]]
 name = "anyio"
-version = "4.3.0"
+version = "4.4.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
-    {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"},
+    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
+    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
 ]
 
 [package.dependencies]
@@ -296,21 +293,6 @@ six = ">=1.12.0"
 astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
 test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
 
-[[package]]
-name = "astunparse"
-version = "1.6.3"
-description = "An AST unparser for Python"
-optional = false
-python-versions = "*"
-files = [
-    {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"},
-    {file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"},
-]
-
-[package.dependencies]
-six = ">=1.6.1,<2.0"
-wheel = ">=0.23.0,<1.0"
-
 [[package]]
 name = "async-lru"
 version = "2.0.4"
@@ -357,32 +339,18 @@ tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "p
 
 [[package]]
 name = "babel"
-version = "2.14.0"
+version = "2.15.0"
 description = "Internationalization utilities"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "Babel-2.14.0-py3-none-any.whl", hash = "sha256:efb1a25b7118e67ce3a259bed20545c29cb68be8ad2c784c83689981b7a57287"},
-    {file = "Babel-2.14.0.tar.gz", hash = "sha256:6919867db036398ba21eb5c7a0f6b28ab8cbc3ae7a73a44ebe34ae74a4e7d363"},
+    {file = "Babel-2.15.0-py3-none-any.whl", hash = "sha256:08706bdad8d0a3413266ab61bd6c34d0c28d6e1e7badf40a2cebe67644e2e1fb"},
+    {file = "babel-2.15.0.tar.gz", hash = "sha256:8daf0e265d05768bc6c7a314cf1321e9a123afc328cc635c18622a2f30a04413"},
 ]
 
-[package.dependencies]
-pytz = {version = ">=2015.7", markers = "python_version < \"3.9\""}
-
 [package.extras]
 dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
 
-[[package]]
-name = "backcall"
-version = "0.2.0"
-description = "Specifications for callback functions passed in to an API"
-optional = false
-python-versions = "*"
-files = [
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-    {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"},
-]
-
 [[package]]
 name = "beautifulsoup4"
 version = "4.12.3"
@@ -424,13 +392,13 @@ css = ["tinycss2 (>=1.1.0,<1.3)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.51"
+version = "1.34.106"
 description = "Low-level, data-driven core of boto 3."
 optional = false
-python-versions = ">= 3.8"
+python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.34.51-py3-none-any.whl", hash = "sha256:01d5156247f991b3466a8404e3d7460a9ecbd9b214f9992d6ba797d9ddc6f120"},
-    {file = "botocore-1.34.51.tar.gz", hash = "sha256:5086217442e67dd9de36ec7e87a0c663f76b7790d5fb6a12de565af95e87e319"},
+    {file = "botocore-1.34.106-py3-none-any.whl", hash = "sha256:4baf0e27c2dfc4f4d0dee7c217c716e0782f9b30e8e1fff983fce237d88f73ae"},
+    {file = "botocore-1.34.106.tar.gz", hash = "sha256:921fa5202f88c3e58fdcb4b3acffd56d65b24bca47092ee4b27aa988556c0be6"},
 ]
 
 [package.dependencies]
@@ -438,11 +406,11 @@ jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
 urllib3 = [
     {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""},
-    {version = ">=1.25.4,<2.1", markers = "python_version >= \"3.10\""},
+    {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""},
 ]
 
 [package.extras]
-crt = ["awscrt (==0.19.19)"]
+crt = ["awscrt (==0.20.9)"]
 
 [[package]]
 name = "bounded-pool-executor"
@@ -455,15 +423,26 @@ files = [
     {file = "bounded_pool_executor-0.0.3.tar.gz", hash = "sha256:e092221bc38ade555e1064831f9ed800580fa34a4b6d8e9dd3cd961549627f6e"},
 ]
 
+[[package]]
+name = "bracex"
+version = "2.4"
+description = "Bash style brace expander."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "bracex-2.4-py3-none-any.whl", hash = "sha256:efdc71eff95eaff5e0f8cfebe7d01adf2c8637c8c92edaf63ef348c241a82418"},
+    {file = "bracex-2.4.tar.gz", hash = "sha256:a27eaf1df42cf561fed58b7a8f3fdf129d1ea16a81e1fadd1d17989bc6384beb"},
+]
+
 [[package]]
 name = "bump-my-version"
-version = "0.20.3"
+version = "0.24.1"
 description = "Version bump your Python project"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "bump_my_version-0.20.3-py3-none-any.whl", hash = "sha256:4246395a8676f850fe3d2ef843f9ab071ce772f16d609729a1ffcbd03f430ecb"},
-    {file = "bump_my_version-0.20.3.tar.gz", hash = "sha256:282acd1167913f3e5e24a10ceab9b14d027aadc1355fdbb1e3d1f2c2bd4b2130"},
+    {file = "bump_my_version-0.24.1-py3-none-any.whl", hash = "sha256:400e2e116a0d04015c26cc0461f7b30ee9602601561162ff7929a1591c59d829"},
+    {file = "bump_my_version-0.24.1.tar.gz", hash = "sha256:bf7a474aa23519405a739eaf15c782e4bb038e14ae6db234f53a1f61f8fe1441"},
 ]
 
 [package.dependencies]
@@ -474,6 +453,7 @@ questionary = "*"
 rich = "*"
 rich-click = "*"
 tomlkit = "*"
+wcmatch = ">=8.5.1"
 
 [package.extras]
 dev = ["generate-changelog (>=0.7.6)", "git-fame (>=1.12.2)", "pip-tools", "pre-commit"]
@@ -482,13 +462,13 @@ test = ["coverage", "freezegun", "pre-commit", "pytest", "pytest-cov", "pytest-m
 
 [[package]]
 name = "certifi"
-version = "2024.2.2"
+version = "2024.7.4"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
-    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
+    {file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
+    {file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
 ]
 
 [[package]]
@@ -683,7 +663,7 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 name = "cloudpickle"
 version = "3.0.0"
 description = "Pickler class to extend the standard pickle.Pickler functionality"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "cloudpickle-3.0.0-py3-none-any.whl", hash = "sha256:246ee7d0c295602a036e86369c77fecda4ab17b506496730f2f576d9016fd9c7"},
@@ -720,196 +700,126 @@ test = ["pytest"]
 
 [[package]]
 name = "contourpy"
-version = "1.1.0"
-description = "Python library for calculating contours of 2D quadrilateral grids"
-optional = false
-python-versions = ">=3.8"
-files = [
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 [package.dependencies]
@@ -935,20 +845,20 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
 [[package]]
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+version = "2024.6.2"
 description = "Parallel PyData with Task Scheduling"
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 [package.dependencies]
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 packaging = ">=20.0"
 partd = ">=1.2.0"
 pyyaml = ">=5.3.1"
@@ -956,11 +866,11 @@ toolz = ">=0.10.0"
 
 [package.extras]
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-dataframe = ["numpy (>=1.21)", "pandas (>=1.3)"]
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-test = ["pandas[test]", "pre-commit", "pytest", "pytest-rerunfailures", "pytest-xdist"]
+distributed = ["distributed (==2024.6.2)"]
+test = ["pandas[test]", "pre-commit", "pytest", "pytest-cov", "pytest-rerunfailures", "pytest-timeout", "pytest-xdist"]
 
 [[package]]
 name = "debugpy"
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-
 [[package]]
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 [package.extras]
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 [[package]]
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 typing = ["typing-extensions (>=4.8)"]
 
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 [package.extras]
@@ -1280,13 +1179,13 @@ files = [
 
 [[package]]
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-version = "2024.2.0"
+version = "2024.6.0"
 description = "File-system specification"
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 python-versions = ">=3.8"
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 adl = ["adlfs"]
 arrow = ["pyarrow (>=1)"]
 dask = ["dask", "distributed"]
-devel = ["pytest", "pytest-cov"]
+dev = ["pre-commit", "ruff"]
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 fuse = ["fusepy"]
@@ -1311,6 +1211,9 @@ s3 = ["s3fs"]
 sftp = ["paramiko"]
 smb = ["smbprotocol"]
 ssh = ["paramiko"]
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 [[package]]
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 [package.dependencies]
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 packaging = "*"
 
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+    {file = "h5py-3.11.0.tar.gz", hash = "sha256:7b7e8f78072a2edec87c9836f25f34203fd492a4475709a18b417a33cfb21fa9"},
 ]
 
 [package.dependencies]
@@ -1410,13 +1311,13 @@ numpy = ">=1.17.3"
 
 [[package]]
 name = "httpcore"
-version = "1.0.4"
+version = "1.0.5"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "httpcore-1.0.4-py3-none-any.whl", hash = "sha256:ac418c1db41bade2ad53ae2f3834a3a0f5ae76b56cf5aa497d2d033384fc7d73"},
-    {file = "httpcore-1.0.4.tar.gz", hash = "sha256:cb2839ccfcba0d2d3c1131d3c3e26dfc327326fbe7a5dc0dbfe9f6c9151bb022"},
+    {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"},
+    {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"},
 ]
 
 [package.dependencies]
@@ -1427,7 +1328,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.25.0)"]
+trio = ["trio (>=0.22.0,<0.26.0)"]
 
 [[package]]
 name = "httpx"
@@ -1455,13 +1356,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "identify"
-version = "2.5.35"
+version = "2.5.36"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "identify-2.5.35-py2.py3-none-any.whl", hash = "sha256:c4de0081837b211594f8e877a6b4fad7ca32bbfc1a9307fdd61c28bfe923f13e"},
-    {file = "identify-2.5.35.tar.gz", hash = "sha256:10a7ca245cfcd756a554a7288159f72ff105ad233c7c4b9c6f0f4d108f5f6791"},
+    {file = "identify-2.5.36-py2.py3-none-any.whl", hash = "sha256:37d93f380f4de590500d9dba7db359d0d3da95ffe7f9de1753faa159e71e7dfa"},
+    {file = "identify-2.5.36.tar.gz", hash = "sha256:e5e00f54165f9047fbebeb4a560f9acfb8af4c88232be60a488e9b68d122745d"},
 ]
 
 [package.extras]
@@ -1469,24 +1370,24 @@ license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.6"
+version = "3.7"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
 files = [
-    {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
-    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
+    {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"},
+    {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
 ]
 
 [[package]]
 name = "importlib-metadata"
-version = "7.0.2"
+version = "7.1.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-7.0.2-py3-none-any.whl", hash = "sha256:f4bc4c0c070c490abf4ce96d715f68e95923320370efb66143df00199bb6c100"},
-    {file = "importlib_metadata-7.0.2.tar.gz", hash = "sha256:198f568f3230878cb1b44fbd7975f87906c22336dba2e4a7f05278c281fbd792"},
+    {file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
+    {file = "importlib_metadata-7.1.0.tar.gz", hash = "sha256:b78938b926ee8d5f020fc4772d487045805a55ddbad2ecf21c6d60938dc7fcd2"},
 ]
 
 [package.dependencies]
@@ -1495,7 +1396,7 @@ zipp = ">=0.5"
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "importlib-resources"
@@ -1528,13 +1429,13 @@ files = [
 
 [[package]]
 name = "ipykernel"
-version = "6.29.3"
+version = "6.29.4"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ipykernel-6.29.3-py3-none-any.whl", hash = "sha256:5aa086a4175b0229d4eca211e181fb473ea78ffd9869af36ba7694c947302a21"},
-    {file = "ipykernel-6.29.3.tar.gz", hash = "sha256:e14c250d1f9ea3989490225cc1a542781b095a18a19447fcf2b5eaf7d0ac5bd2"},
+    {file = "ipykernel-6.29.4-py3-none-any.whl", hash = "sha256:1181e653d95c6808039c509ef8e67c4126b3b3af7781496c7cbfb5ed938a27da"},
+    {file = "ipykernel-6.29.4.tar.gz", hash = "sha256:3d44070060f9475ac2092b760123fadf105d2e2493c24848b6691a7c4f42af5c"},
 ]
 
 [package.dependencies]
@@ -1561,60 +1462,58 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio
 
 [[package]]
 name = "ipython"
-version = "8.12.3"
+version = "8.18.1"
 description = "IPython: Productive Interactive Computing"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "ipython-8.12.3-py3-none-any.whl", hash = "sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c"},
-    {file = "ipython-8.12.3.tar.gz", hash = "sha256:3910c4b54543c2ad73d06579aa771041b7d5707b033bd488669b4cf544e3b363"},
+    {file = "ipython-8.18.1-py3-none-any.whl", hash = "sha256:e8267419d72d81955ec1177f8a29aaa90ac80ad647499201119e2f05e99aa397"},
+    {file = "ipython-8.18.1.tar.gz", hash = "sha256:ca6f079bb33457c66e233e4580ebfc4128855b4cf6370dddd73842a9563e8a27"},
 ]
 
 [package.dependencies]
-appnope = {version = "*", markers = "sys_platform == \"darwin\""}
-backcall = "*"
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
 decorator = "*"
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
 jedi = ">=0.16"
 matplotlib-inline = "*"
 pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
-pickleshare = "*"
-prompt-toolkit = ">=3.0.30,<3.0.37 || >3.0.37,<3.1.0"
+prompt-toolkit = ">=3.0.41,<3.1.0"
 pygments = ">=2.4.0"
 stack-data = "*"
 traitlets = ">=5"
 typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
 
 [package.extras]
-all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
+all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
 black = ["black"]
-doc = ["docrepr", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
+doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
 kernel = ["ipykernel"]
 nbconvert = ["nbconvert"]
 nbformat = ["nbformat"]
 notebook = ["ipywidgets", "notebook"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
-test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
-test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
+test = ["pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath"]
+test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath", "trio"]
 
 [[package]]
 name = "ipywidgets"
-version = "8.1.2"
+version = "8.1.3"
 description = "Jupyter interactive widgets"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "ipywidgets-8.1.2-py3-none-any.whl", hash = "sha256:bbe43850d79fb5e906b14801d6c01402857996864d1e5b6fa62dd2ee35559f60"},
-    {file = "ipywidgets-8.1.2.tar.gz", hash = "sha256:d0b9b41e49bae926a866e613a39b0f0097745d2b9f1f3dd406641b4a57ec42c9"},
+    {file = "ipywidgets-8.1.3-py3-none-any.whl", hash = "sha256:efafd18f7a142248f7cb0ba890a68b96abd4d6e88ddbda483c9130d12667eaf2"},
+    {file = "ipywidgets-8.1.3.tar.gz", hash = "sha256:f5f9eeaae082b1823ce9eac2575272952f40d748893972956dc09700a6392d9c"},
 ]
 
 [package.dependencies]
 comm = ">=0.1.3"
 ipython = ">=6.1.0"
-jupyterlab-widgets = ">=3.0.10,<3.1.0"
+jupyterlab-widgets = ">=3.0.11,<3.1.0"
 traitlets = ">=4.3.1"
-widgetsnbextension = ">=4.0.10,<4.1.0"
+widgetsnbextension = ">=4.0.11,<4.1.0"
 
 [package.extras]
 test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"]
@@ -1654,13 +1553,13 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
 name = "jinja2"
-version = "3.1.3"
+version = "3.1.4"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"},
-    {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"},
+    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
+    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
 ]
 
 [package.dependencies]
@@ -1682,49 +1581,44 @@ files = [
 
 [[package]]
 name = "json5"
-version = "0.9.22"
+version = "0.9.25"
 description = "A Python implementation of the JSON5 data format."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "json5-0.9.22-py3-none-any.whl", hash = "sha256:6621007c70897652f8b5d03885f732771c48d1925591ad989aa80c7e0e5ad32f"},
-    {file = "json5-0.9.22.tar.gz", hash = "sha256:b729bde7650b2196a35903a597d2b704b8fdf8648bfb67368cfb79f1174a17bd"},
+    {file = "json5-0.9.25-py3-none-any.whl", hash = "sha256:34ed7d834b1341a86987ed52f3f76cd8ee184394906b6e22a1e0deb9ab294e8f"},
+    {file = "json5-0.9.25.tar.gz", hash = "sha256:548e41b9be043f9426776f05df8635a00fe06104ea51ed24b67f908856e151ae"},
 ]
 
-[package.extras]
-dev = ["hypothesis"]
-
 [[package]]
 name = "jsonpointer"
-version = "2.4"
+version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+python-versions = ">=3.7"
 files = [
-    {file = "jsonpointer-2.4-py2.py3-none-any.whl", hash = "sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a"},
-    {file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"},
+    {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
+    {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
 ]
 
 [[package]]
 name = "jsonschema"
-version = "4.21.1"
+version = "4.22.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema-4.21.1-py3-none-any.whl", hash = "sha256:7996507afae316306f9e2290407761157c6f78002dcf7419acb99822143d1c6f"},
-    {file = "jsonschema-4.21.1.tar.gz", hash = "sha256:85727c00279f5fa6bedbe6238d2aa6403bedd8b4864ab11207d07df3cc1b2ee5"},
+    {file = "jsonschema-4.22.0-py3-none-any.whl", hash = "sha256:ff4cfd6b1367a40e7bc6411caec72effadd3db0bbe5017de188f2d6108335802"},
+    {file = "jsonschema-4.22.0.tar.gz", hash = "sha256:5b22d434a45935119af990552c862e5d6d564e8f6601206b305a61fdf661a2b7"},
 ]
 
 [package.dependencies]
 attrs = ">=22.2.0"
 fqdn = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 idna = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
-importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
 isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""}
 jsonschema-specifications = ">=2023.03.6"
-pkgutil-resolve-name = {version = ">=1.3.10", markers = "python_version < \"3.9\""}
 referencing = ">=0.28.4"
 rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""}
@@ -1748,18 +1642,17 @@ files = [
 ]
 
 [package.dependencies]
-importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
 referencing = ">=0.31.0"
 
 [[package]]
 name = "jupyter-client"
-version = "8.6.1"
+version = "8.6.2"
 description = "Jupyter protocol implementation and client libraries"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_client-8.6.1-py3-none-any.whl", hash = "sha256:3b7bd22f058434e3b9a7ea4b1500ed47de2713872288c0d511d19926f99b459f"},
-    {file = "jupyter_client-8.6.1.tar.gz", hash = "sha256:e842515e2bab8e19186d89fdfea7abd15e39dd581f94e399f00e2af5a1652d3f"},
+    {file = "jupyter_client-8.6.2-py3-none-any.whl", hash = "sha256:50cbc5c66fd1b8f65ecb66bc490ab73217993632809b6e505687de18e9dea39f"},
+    {file = "jupyter_client-8.6.2.tar.gz", hash = "sha256:2bda14d55ee5ba58552a8c53ae43d215ad9868853489213f37da060ced54d8df"},
 ]
 
 [package.dependencies]
@@ -1772,7 +1665,7 @@ traitlets = ">=5.3"
 
 [package.extras]
 docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
-test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
+test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-core"
@@ -1796,13 +1689,13 @@ test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"
 
 [[package]]
 name = "jupyter-events"
-version = "0.9.1"
+version = "0.10.0"
 description = "Jupyter Event System library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_events-0.9.1-py3-none-any.whl", hash = "sha256:e51f43d2c25c2ddf02d7f7a5045f71fc1d5cb5ad04ef6db20da961c077654b9b"},
-    {file = "jupyter_events-0.9.1.tar.gz", hash = "sha256:a52e86f59eb317ee71ff2d7500c94b963b8a24f0b7a1517e2e653e24258e15c7"},
+    {file = "jupyter_events-0.10.0-py3-none-any.whl", hash = "sha256:4b72130875e59d57716d327ea70d3ebc3af1944d3717e5a498b8a06c6c159960"},
+    {file = "jupyter_events-0.10.0.tar.gz", hash = "sha256:670b8229d3cc882ec782144ed22e0d29e1c2d639263f92ca8383e66682845e22"},
 ]
 
 [package.dependencies]
@@ -1821,13 +1714,13 @@ test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "p
 
 [[package]]
 name = "jupyter-lsp"
-version = "2.2.4"
+version = "2.2.5"
 description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter-lsp-2.2.4.tar.gz", hash = "sha256:5e50033149344065348e688608f3c6d654ef06d9856b67655bd7b6bac9ee2d59"},
-    {file = "jupyter_lsp-2.2.4-py3-none-any.whl", hash = "sha256:da61cb63a16b6dff5eac55c2699cc36eac975645adee02c41bdfc03bf4802e77"},
+    {file = "jupyter-lsp-2.2.5.tar.gz", hash = "sha256:793147a05ad446f809fd53ef1cd19a9f5256fd0a2d6b7ce943a982cb4f545001"},
+    {file = "jupyter_lsp-2.2.5-py3-none-any.whl", hash = "sha256:45fbddbd505f3fbfb0b6cb2f1bc5e15e83ab7c79cd6e89416b248cb3c00c11da"},
 ]
 
 [package.dependencies]
@@ -1836,39 +1729,39 @@ jupyter-server = ">=1.1.2"
 
 [[package]]
 name = "jupyter-server"
-version = "2.13.0"
+version = "2.14.1"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_server-2.13.0-py3-none-any.whl", hash = "sha256:77b2b49c3831fbbfbdb5048cef4350d12946191f833a24e5f83e5f8f4803e97b"},
-    {file = "jupyter_server-2.13.0.tar.gz", hash = "sha256:c80bfb049ea20053c3d9641c2add4848b38073bf79f1729cea1faed32fc1c78e"},
+    {file = "jupyter_server-2.14.1-py3-none-any.whl", hash = "sha256:16f7177c3a4ea8fe37784e2d31271981a812f0b2874af17339031dc3510cc2a5"},
+    {file = "jupyter_server-2.14.1.tar.gz", hash = "sha256:12558d158ec7a0653bf96cc272bc7ad79e0127d503b982ed144399346694f726"},
 ]
 
 [package.dependencies]
 anyio = ">=3.1.0"
-argon2-cffi = "*"
-jinja2 = "*"
+argon2-cffi = ">=21.1"
+jinja2 = ">=3.0.3"
 jupyter-client = ">=7.4.4"
 jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
 jupyter-events = ">=0.9.0"
-jupyter-server-terminals = "*"
+jupyter-server-terminals = ">=0.4.4"
 nbconvert = ">=6.4.4"
 nbformat = ">=5.3.0"
-overrides = "*"
-packaging = "*"
-prometheus-client = "*"
-pywinpty = {version = "*", markers = "os_name == \"nt\""}
+overrides = ">=5.0"
+packaging = ">=22.0"
+prometheus-client = ">=0.9"
+pywinpty = {version = ">=2.0.1", markers = "os_name == \"nt\""}
 pyzmq = ">=24"
 send2trash = ">=1.8.2"
 terminado = ">=0.8.3"
 tornado = ">=6.2.0"
 traitlets = ">=5.6.0"
-websocket-client = "*"
+websocket-client = ">=1.7"
 
 [package.extras]
-docs = ["ipykernel", "jinja2", "jupyter-client", "jupyter-server", "myst-parser", "nbformat", "prometheus-client", "pydata-sphinx-theme", "send2trash", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-openapi (>=0.8.0)", "sphinxcontrib-spelling", "sphinxemoji", "tornado", "typing-extensions"]
-test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-scripts", "pytest-jupyter[server] (>=0.7)", "pytest-timeout", "requests"]
+docs = ["ipykernel", "jinja2", "jupyter-client", "myst-parser", "nbformat", "prometheus-client", "pydata-sphinx-theme", "send2trash", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-openapi (>=0.8.0)", "sphinxcontrib-spelling", "sphinxemoji", "tornado", "typing-extensions"]
+test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0,<9)", "pytest-console-scripts", "pytest-jupyter[server] (>=0.7)", "pytest-timeout", "requests"]
 
 [[package]]
 name = "jupyter-server-terminals"
@@ -1891,20 +1784,19 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
 
 [[package]]
 name = "jupyterlab"
-version = "4.1.8"
+version = "4.2.3"
 description = "JupyterLab computational environment"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyterlab-4.1.8-py3-none-any.whl", hash = "sha256:c3baf3a2f91f89d110ed5786cd18672b9a357129d4e389d2a0dead15e11a4d2c"},
-    {file = "jupyterlab-4.1.8.tar.gz", hash = "sha256:3384aded8680e7ce504fd63b8bb89a39df21c9c7694d9e7dc4a68742cdb30f9b"},
+    {file = "jupyterlab-4.2.3-py3-none-any.whl", hash = "sha256:0b59d11808e84bb84105c73364edfa867dd475492429ab34ea388a52f2e2e596"},
+    {file = "jupyterlab-4.2.3.tar.gz", hash = "sha256:df6e46969ea51d66815167f23d92f105423b7f1f06fa604d4f44aeb018c82c7b"},
 ]
 
 [package.dependencies]
 async-lru = ">=1.0.0"
 httpx = ">=0.25.0"
 importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
-importlib-resources = {version = ">=1.4", markers = "python_version < \"3.9\""}
 ipykernel = ">=6.5.0"
 jinja2 = ">=3.0.3"
 jupyter-core = "*"
@@ -1913,16 +1805,17 @@ jupyter-server = ">=2.4.0,<3"
 jupyterlab-server = ">=2.27.1,<3"
 notebook-shim = ">=0.2"
 packaging = "*"
+setuptools = ">=40.1.0"
 tomli = {version = ">=1.2.2", markers = "python_version < \"3.11\""}
 tornado = ">=6.2.0"
 traitlets = "*"
 
 [package.extras]
-dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.2.0)"]
+dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.3.5)"]
 docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<7.3.0)", "sphinx-copybutton"]
-docs-screenshots = ["altair (==5.2.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.1)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post6)", "matplotlib (==3.8.2)", "nbconvert (>=7.0.0)", "pandas (==2.2.0)", "scipy (==1.12.0)", "vega-datasets (==0.9.0)"]
+docs-screenshots = ["altair (==5.3.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.2)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.1.post2)", "matplotlib (==3.8.3)", "nbconvert (>=7.0.0)", "pandas (==2.2.1)", "scipy (==1.12.0)", "vega-datasets (==0.9.0)"]
 test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
-upgrade-extension = ["copier (>=8.0,<9.0)", "jinja2-time (<0.3)", "pydantic (<2.0)", "pyyaml-include (<2.0)", "tomli-w (<2.0)"]
+upgrade-extension = ["copier (>=8,<10)", "jinja2-time (<0.3)", "pydantic (<2.0)", "pyyaml-include (<2.0)", "tomli-w (<2.0)"]
 
 [[package]]
 name = "jupyterlab-pygments"
@@ -1937,13 +1830,13 @@ files = [
 
 [[package]]
 name = "jupyterlab-server"
-version = "2.27.1"
+version = "2.27.2"
 description = "A set of server components for JupyterLab and JupyterLab like applications."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyterlab_server-2.27.1-py3-none-any.whl", hash = "sha256:f5e26156e5258b24d532c84e7c74cc212e203bff93eb856f81c24c16daeecc75"},
-    {file = "jupyterlab_server-2.27.1.tar.gz", hash = "sha256:097b5ac709b676c7284ac9c5e373f11930a561f52cd5a86e4fc7e5a9c8a8631d"},
+    {file = "jupyterlab_server-2.27.2-py3-none-any.whl", hash = "sha256:54aa2d64fd86383b5438d9f0c032f043c4d8c0264b8af9f60bd061157466ea43"},
+    {file = "jupyterlab_server-2.27.2.tar.gz", hash = "sha256:15cbb349dc45e954e09bacf81b9f9bcb10815ff660fb2034ecd7417db3a7ea27"},
 ]
 
 [package.dependencies]
@@ -1963,24 +1856,24 @@ test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-v
 
 [[package]]
 name = "jupyterlab-widgets"
-version = "3.0.10"
+version = "3.0.11"
 description = "Jupyter interactive widgets for JupyterLab"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "jupyterlab_widgets-3.0.10-py3-none-any.whl", hash = "sha256:dd61f3ae7a5a7f80299e14585ce6cf3d6925a96c9103c978eda293197730cb64"},
-    {file = "jupyterlab_widgets-3.0.10.tar.gz", hash = "sha256:04f2ac04976727e4f9d0fa91cdc2f1ab860f965e504c29dbd6a65c882c9d04c0"},
+    {file = "jupyterlab_widgets-3.0.11-py3-none-any.whl", hash = "sha256:78287fd86d20744ace330a61625024cf5521e1c012a352ddc0a3cdc2348becd0"},
+    {file = "jupyterlab_widgets-3.0.11.tar.gz", hash = "sha256:dd5ac679593c969af29c9bed054c24f26842baa51352114736756bc035deee27"},
 ]
 
 [[package]]
 name = "jupytext"
-version = "1.16.1"
+version = "1.16.2"
 description = "Jupyter notebooks as Markdown documents, Julia, Python or R scripts"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupytext-1.16.1-py3-none-any.whl", hash = "sha256:796ec4f68ada663569e5d38d4ef03738a01284bfe21c943c485bc36433898bd0"},
-    {file = "jupytext-1.16.1.tar.gz", hash = "sha256:68c7b68685e870e80e60fda8286fbd6269e9c74dc1df4316df6fe46eabc94c99"},
+    {file = "jupytext-1.16.2-py3-none-any.whl", hash = "sha256:197a43fef31dca612b68b311e01b8abd54441c7e637810b16b6cb8f2ab66065e"},
+    {file = "jupytext-1.16.2.tar.gz", hash = "sha256:8627dd9becbbebd79cc4a4ed4727d89d78e606b4b464eab72357b3b029023a14"},
 ]
 
 [package.dependencies]
@@ -1989,27 +1882,27 @@ mdit-py-plugins = "*"
 nbformat = "*"
 packaging = "*"
 pyyaml = "*"
-toml = "*"
+tomli = {version = "*", markers = "python_version < \"3.11\""}
 
 [package.extras]
-dev = ["jupytext[test-cov,test-external]"]
+dev = ["autopep8", "black", "flake8", "gitpython", "ipykernel", "isort", "jupyter-fs (<0.4.0)", "jupyter-server (!=2.11)", "nbconvert", "pre-commit", "pytest", "pytest-cov (>=2.6.1)", "pytest-randomly", "pytest-xdist", "sphinx-gallery (<0.8)"]
 docs = ["myst-parser", "sphinx", "sphinx-copybutton", "sphinx-rtd-theme"]
 test = ["pytest", "pytest-randomly", "pytest-xdist"]
-test-cov = ["jupytext[test-integration]", "pytest-cov (>=2.6.1)"]
-test-external = ["autopep8", "black", "flake8", "gitpython", "isort", "jupyter-fs (<0.4.0)", "jupytext[test-integration]", "pre-commit", "sphinx-gallery (<0.8)"]
-test-functional = ["jupytext[test]"]
-test-integration = ["ipykernel", "jupyter-server (!=2.11)", "jupytext[test-functional]", "nbconvert"]
+test-cov = ["ipykernel", "jupyter-server (!=2.11)", "nbconvert", "pytest", "pytest-cov (>=2.6.1)", "pytest-randomly", "pytest-xdist"]
+test-external = ["autopep8", "black", "flake8", "gitpython", "ipykernel", "isort", "jupyter-fs (<0.4.0)", "jupyter-server (!=2.11)", "nbconvert", "pre-commit", "pytest", "pytest-randomly", "pytest-xdist", "sphinx-gallery (<0.8)"]
+test-functional = ["pytest", "pytest-randomly", "pytest-xdist"]
+test-integration = ["ipykernel", "jupyter-server (!=2.11)", "nbconvert", "pytest", "pytest-randomly", "pytest-xdist"]
 test-ui = ["calysto-bash"]
 
 [[package]]
 name = "kerchunk"
-version = "0.2.4"
+version = "0.2.5"
 description = "Functions to make reference descriptions for ReferenceFileSystem"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "kerchunk-0.2.4-py3-none-any.whl", hash = "sha256:522d75f0e1432cfe02773d3370177b695384ef4701debe7109b72dbc3727b0fb"},
-    {file = "kerchunk-0.2.4.tar.gz", hash = "sha256:f747b6fb40e317dc0b81bd721f29ba534f5fce643e53cb9d55b1553c28f86e9d"},
+    {file = "kerchunk-0.2.5-py3-none-any.whl", hash = "sha256:6d850b819af2d7c3f1a95a6d430ca8e13b2dcc5e7f799e346cebea64e5d36d0c"},
+    {file = "kerchunk-0.2.5.tar.gz", hash = "sha256:a537576d4759c197f90434ecd18f7418a012a551e188f5b56f6ef76f2fbfda29"},
 ]
 
 [package.dependencies]
@@ -2144,7 +2037,7 @@ files = [
 name = "locket"
 version = "1.0.0"
 description = "File-based locks for Python on Linux and Windows"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
     {file = "locket-1.0.0-py2.py3-none-any.whl", hash = "sha256:b6c819a722f7b6bd955b80781788e4a66a55628b858d347536b7e81325a3a5e3"},
@@ -2153,96 +2046,175 @@ files = [
 
 [[package]]
 name = "lxml"
-version = "5.1.0"
+version = "5.2.2"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "lxml-5.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:704f5572ff473a5f897745abebc6df40f22d4133c1e0a1f124e4f2bd3330ff7e"},
-    {file = "lxml-5.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9d3c0f8567ffe7502d969c2c1b809892dc793b5d0665f602aad19895f8d508da"},
-    {file = "lxml-5.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5fcfbebdb0c5d8d18b84118842f31965d59ee3e66996ac842e21f957eb76138c"},
-    {file = "lxml-5.1.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2f37c6d7106a9d6f0708d4e164b707037b7380fcd0b04c5bd9cae1fb46a856fb"},
-    {file = "lxml-5.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2befa20a13f1a75c751f47e00929fb3433d67eb9923c2c0b364de449121f447c"},
-    {file = "lxml-5.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:22b7ee4c35f374e2c20337a95502057964d7e35b996b1c667b5c65c567d2252a"},
-    {file = "lxml-5.1.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:bf8443781533b8d37b295016a4b53c1494fa9a03573c09ca5104550c138d5c05"},
-    {file = "lxml-5.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:82bddf0e72cb2af3cbba7cec1d2fd11fda0de6be8f4492223d4a268713ef2147"},
-    {file = "lxml-5.1.0-cp310-cp310-win32.whl", hash = "sha256:b66aa6357b265670bb574f050ffceefb98549c721cf28351b748be1ef9577d93"},
-    {file = "lxml-5.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:4946e7f59b7b6a9e27bef34422f645e9a368cb2be11bf1ef3cafc39a1f6ba68d"},
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+    {file = "matplotlib-3.9.0.tar.gz", hash = "sha256:e6d29ea6c19e34b30fb7d88b7081f869a03014f66fe06d62cc77d5a6ea88ed7a"},
 ]
 
 [package.dependencies]
@@ -2447,22 +2401,25 @@ contourpy = ">=1.0.1"
 cycler = ">=0.10"
 fonttools = ">=4.22.0"
 importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""}
-kiwisolver = ">=1.0.1"
-numpy = ">=1.20,<2"
+kiwisolver = ">=1.3.1"
+numpy = ">=1.23"
 packaging = ">=20.0"
-pillow = ">=6.2.0"
+pillow = ">=8"
 pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
 
+[package.extras]
+dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"]
+
 [[package]]
 name = "matplotlib-inline"
-version = "0.1.6"
+version = "0.1.7"
 description = "Inline Matplotlib backend for Jupyter"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2470,13 +2427,13 @@ traitlets = "*"
 
 [[package]]
 name = "mdit-py-plugins"
-version = "0.4.0"
+version = "0.4.1"
 description = "Collection of plugins for markdown-it-py"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2511,13 +2468,13 @@ files = [
 
 [[package]]
 name = "mistune"
-version = "0.8.4"
-description = "The fastest markdown parser in pure Python"
+version = "3.0.2"
+description = "A sane and fast Markdown parser with useful plugins and renderers"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
 files = [
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+    {file = "mistune-3.0.2-py3-none-any.whl", hash = "sha256:71481854c30fdbc938963d3605b72501f5c10a9320ecd412c121c163a1c7d205"},
+    {file = "mistune-3.0.2.tar.gz", hash = "sha256:fc7f93ded930c92394ef2cb6f04a8aabab4117a91449e72dcc8dfa646a508be8"},
 ]
 
 [[package]]
@@ -2569,40 +2526,50 @@ mkdocs = ">=1.1"
 
 [[package]]
 name = "mkdocs-jupyter"
-version = "0.22.0"
+version = "0.24.7"
 description = "Use Jupyter in mkdocs websites"
 optional = false
-python-versions = ">=3.7.1,<4"
+python-versions = ">=3.8"
 files = [
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+    {file = "mkdocs_jupyter-0.24.7-py3-none-any.whl", hash = "sha256:893d04bea1e007479a46e4e72852cd4d280c4d358ce4a0445250f3f80c639723"},
 ]
 
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-mkdocs = ">=1.2.3,<2.0.0"
-mkdocs-material = ">=8.0.0,<9.0.0"
-nbconvert = ">=6.2.0,<7.0.0"
-Pygments = ">=2.12.0,<3.0.0"
+ipykernel = ">6.0.0,<7.0.0"
+jupytext = ">1.13.8,<2"
+mkdocs = ">=1.4.0,<2"
+mkdocs-material = ">9.0.0"
+nbconvert = ">=7.2.9,<8"
+pygments = ">2.12.0"
 
 [[package]]
 name = "mkdocs-material"
-version = "8.5.11"
+version = "9.5.18"
 description = "Documentation that simply works"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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-markdown = ">=3.2"
-mkdocs = ">=1.4.0"
-mkdocs-material-extensions = ">=1.1"
-pygments = ">=2.12"
-pymdown-extensions = ">=9.4"
-requests = ">=2.26"
+babel = ">=2.10,<3.0"
+colorama = ">=0.4,<1.0"
+jinja2 = ">=3.0,<4.0"
+markdown = ">=3.2,<4.0"
+mkdocs = ">=1.5.3,<1.6.0"
+mkdocs-material-extensions = ">=1.3,<2.0"
+paginate = ">=0.5,<1.0"
+pygments = ">=2.16,<3.0"
+pymdown-extensions = ">=10.2,<11.0"
+regex = ">=2022.4"
+requests = ">=2.26,<3.0"
+
+[package.extras]
+git = ["mkdocs-git-committers-plugin-2 (>=1.1,<2.0)", "mkdocs-git-revision-date-localized-plugin (>=1.2.4,<2.0)"]
+imaging = ["cairosvg (>=2.6,<3.0)", "pillow (>=10.2,<11.0)"]
+recommended = ["mkdocs-minify-plugin (>=0.7,<1.0)", "mkdocs-redirects (>=1.2,<2.0)", "mkdocs-rss-plugin (>=1.6,<2.0)"]
 
 [[package]]
 name = "mkdocs-material-extensions"
@@ -2615,15 +2582,34 @@ files = [
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 ]
 
+[[package]]
+name = "mkdocs-redirects"
+version = "1.2.1"
+description = "A MkDocs plugin for dynamic page redirects to prevent broken links."
+optional = false
+python-versions = ">=3.6"
+files = [
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+]
+
+[package.dependencies]
+mkdocs = ">=1.1.1"
+
+[package.extras]
+dev = ["autoflake", "black", "isort", "pytest", "twine (>=1.13.0)"]
+release = ["twine (>=1.13.0)"]
+test = ["autoflake", "black", "isort", "pytest"]
+
 [[package]]
 name = "mkdocstrings"
-version = "0.25.0"
+version = "0.25.1"
 description = "Automatic documentation from sources, for MkDocs."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2646,18 +2632,18 @@ python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"]
 
 [[package]]
 name = "mkdocstrings-python"
-version = "1.8.0"
+version = "1.10.3"
 description = "A Python handler for mkdocstrings."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-griffe = ">=0.37"
-mkdocstrings = ">=0.20"
+griffe = ">=0.44"
+mkdocstrings = ">=0.25"
 
 [[package]]
 name = "multidict"
@@ -2760,49 +2746,49 @@ files = [
 
 [[package]]
 name = "multimethod"
-version = "1.10"
+version = "1.11.2"
 description = "Multiple argument dispatching."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [[package]]
 name = "mypy"
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+version = "1.10.1"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.8"
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@@ -2851,56 +2837,57 @@ test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=
 
 [[package]]
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 [package.dependencies]
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 pandocfilters = ">=1.4.1"
 pygments = ">=2.4.1"
 tinycss2 = "*"
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@@ -2920,18 +2907,15 @@ files = [
 
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-[package.dependencies]
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 [[package]]
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 version = "0.2.4"
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 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
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 [[package]]
 name = "pandocfilters"
@@ -3128,28 +3145,28 @@ files = [
 
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+version = "0.8.4"
 description = "A Python Parser"
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+qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+testing = ["docopt", "pytest"]
 
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-version = "1.4.1"
+version = "1.4.2"
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-optional = false
-python-versions = ">=3.7"
+optional = true
+python-versions = ">=3.9"
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 [package.dependencies]
@@ -3157,7 +3174,7 @@ locket = "*"
 toolz = "*"
 
 [package.extras]
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+complete = ["blosc", "numpy (>=1.20.0)", "pandas (>=1.3)", "pyzmq"]
 
 [[package]]
 name = "pathspec"
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 ptyprocess = ">=0.5"
 
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 ]
 
 [package.extras]
@@ -3280,31 +3287,21 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa
 typing = ["typing-extensions"]
 xmp = ["defusedxml"]
 
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 [[package]]
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 optional = false
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+type = ["mypy (>=1.8)"]
 
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 name = "pluggy"
@@ -3339,13 +3336,13 @@ typing-extensions = "*"
 
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+version = "3.7.1"
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@@ -3371,13 +3368,13 @@ twisted = ["twisted"]
 
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+version = "3.0.47"
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 [[package]]
 name = "pydantic-settings"
-version = "2.2.1"
+version = "2.3.2"
 description = "Settings management using Pydantic"
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 [[package]]
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 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
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 [[package]]
@@ -3625,46 +3621,38 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
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 ]
 
 [package.dependencies]
@@ -3672,13 +3660,13 @@ certifi = "*"
 
 [[package]]
 name = "pytest"
-version = "8.2.0"
+version = "8.2.2"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3728,18 +3716,19 @@ watchdog = ">=0.6.0"
 
 [[package]]
 name = "python-cmr"
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+version = "0.11.0"
 description = "Python wrapper to the NASA Common Metadata Repository (CMR) API."
 optional = false
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 [package.dependencies]
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 requests = ">=2.26.0,<3.0.0"
+typing-extensions = ">=4.11.0,<5.0.0"
 
 [[package]]
 name = "python-dateutil"
@@ -3916,104 +3905,99 @@ pyyaml = "*"
 
 [[package]]
 name = "pyzmq"
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 description = "Python bindings for 0MQ"
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 rpds-py = ">=0.7.0"
 
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 [[package]]
 name = "requests"
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+version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
-python-versions = ">=3.7"
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 files = [
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 ]
 
 [package.dependencies]
@@ -4071,13 +4146,13 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "responses"
-version = "0.25.0"
+version = "0.25.3"
 description = "A utility library for mocking out the `requests` Python library."
 optional = false
 python-versions = ">=3.8"
 files = [
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+version = "2024.6.0"
 description = "Convenient Filesystem interface over S3"
 optional = false
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 aiohttp = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1"
-fsspec = "2024.2.0"
+fsspec = "==2024.6.0.*"
 
 [package.extras]
 awscli = ["aiobotocore[awscli] (>=2.5.4,<3.0.0)"]
@@ -4307,13 +4383,13 @@ boto3 = ["aiobotocore[boto3] (>=2.5.4,<3.0.0)"]
 
 [[package]]
 name = "send2trash"
-version = "1.8.2"
+version = "1.8.3"
 description = "Send file to trash natively under Mac OS X, Windows and Linux"
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
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 ]
 
 [package.extras]
@@ -4323,19 +4399,18 @@ win32 = ["pywin32"]
 
 [[package]]
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+version = "70.0.0"
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 ]
 
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+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+testing = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mypy (==1.9)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 
 [[package]]
 name = "six"
@@ -4412,13 +4487,13 @@ typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"]
 
 [[package]]
 name = "tinycss2"
-version = "1.2.1"
+version = "1.3.0"
 description = "A tiny CSS parser"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "tinycss2-1.2.1-py3-none-any.whl", hash = "sha256:2b80a96d41e7c3914b8cda8bc7f705a4d9c49275616e886103dd839dfc847847"},
-    {file = "tinycss2-1.2.1.tar.gz", hash = "sha256:8cff3a8f066c2ec677c06dbc7b45619804a6938478d9d73c284b29d14ecb0627"},
+    {file = "tinycss2-1.3.0-py3-none-any.whl", hash = "sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7"},
+    {file = "tinycss2-1.3.0.tar.gz", hash = "sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d"},
 ]
 
 [package.dependencies]
@@ -4426,7 +4501,7 @@ webencodings = ">=0.4"
 
 [package.extras]
 doc = ["sphinx", "sphinx_rtd_theme"]
-test = ["flake8", "isort", "pytest"]
+test = ["pytest", "ruff"]
 
 [[package]]
 name = "tinynetrc"
@@ -4444,17 +4519,6 @@ dev = ["flake8 (==3.9.2)", "konch", "pytest", "tox"]
 lint = ["flake8 (==3.9.2)"]
 tests = ["pytest"]
 
-[[package]]
-name = "toml"
-version = "0.10.2"
-description = "Python Library for Tom's Obvious, Minimal Language"
-optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
-files = [
-    {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
-    {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
-]
-
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -4468,20 +4532,20 @@ files = [
 
 [[package]]
 name = "tomlkit"
-version = "0.12.4"
+version = "0.12.5"
 description = "Style preserving TOML library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tomlkit-0.12.4-py3-none-any.whl", hash = "sha256:5cd82d48a3dd89dee1f9d64420aa20ae65cfbd00668d6f094d7578a78efbb77b"},
-    {file = "tomlkit-0.12.4.tar.gz", hash = "sha256:7ca1cfc12232806517a8515047ba66a19369e71edf2439d0f5824f91032b6cc3"},
+    {file = "tomlkit-0.12.5-py3-none-any.whl", hash = "sha256:af914f5a9c59ed9d0762c7b64d3b5d5df007448eb9cd2edc8a46b1eafead172f"},
+    {file = "tomlkit-0.12.5.tar.gz", hash = "sha256:eef34fba39834d4d6b73c9ba7f3e4d1c417a4e56f89a7e96e090dd0d24b8fb3c"},
 ]
 
 [[package]]
 name = "toolz"
 version = "0.12.1"
 description = "List processing tools and functional utilities"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "toolz-0.12.1-py3-none-any.whl", hash = "sha256:d22731364c07d72eea0a0ad45bafb2c2937ab6fd38a3507bf55eae8744aa7d85"},
@@ -4490,33 +4554,33 @@ files = [
 
 [[package]]
 name = "tornado"
-version = "6.4"
+version = "6.4.1"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 optional = false
-python-versions = ">= 3.8"
+python-versions = ">=3.8"
 files = [
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-    {file = "tornado-6.4-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f0251554cdd50b4b44362f73ad5ba7126fc5b2c2895cc62b14a1c2d7ea32f212"},
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-    {file = "tornado-6.4-cp38-abi3-win_amd64.whl", hash = "sha256:10aeaa8006333433da48dec9fe417877f8bcc21f48dda8d661ae79da357b2a63"},
-    {file = "tornado-6.4.tar.gz", hash = "sha256:72291fa6e6bc84e626589f1c29d90a5a6d593ef5ae68052ee2ef000dfd273dee"},
+    {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:163b0aafc8e23d8cdc3c9dfb24c5368af84a81e3364745ccb4427669bf84aec8"},
+    {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:6d5ce3437e18a2b66fbadb183c1d3364fb03f2be71299e7d10dbeeb69f4b2a14"},
+    {file = "tornado-6.4.1-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2e20b9113cd7293f164dc46fffb13535266e713cdb87bd2d15ddb336e96cfc4"},
+    {file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8ae50a504a740365267b2a8d1a90c9fbc86b780a39170feca9bcc1787ff80842"},
+    {file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:613bf4ddf5c7a95509218b149b555621497a6cc0d46ac341b30bd9ec19eac7f3"},
+    {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:25486eb223babe3eed4b8aecbac33b37e3dd6d776bc730ca14e1bf93888b979f"},
+    {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:454db8a7ecfcf2ff6042dde58404164d969b6f5d58b926da15e6b23817950fc4"},
+    {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a02a08cc7a9314b006f653ce40483b9b3c12cda222d6a46d4ac63bb6c9057698"},
+    {file = "tornado-6.4.1-cp38-abi3-win32.whl", hash = "sha256:d9a566c40b89757c9aa8e6f032bcdb8ca8795d7c1a9762910c722b1635c9de4d"},
+    {file = "tornado-6.4.1-cp38-abi3-win_amd64.whl", hash = "sha256:b24b8982ed444378d7f21d563f4180a2de31ced9d8d84443907a0a64da2072e7"},
+    {file = "tornado-6.4.1.tar.gz", hash = "sha256:92d3ab53183d8c50f8204a51e6f91d18a15d5ef261e84d452800d4ff6fc504e9"},
 ]
 
 [[package]]
 name = "tqdm"
-version = "4.66.2"
+version = "4.66.4"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
-    {file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
+    {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"},
+    {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
 ]
 
 [package.dependencies]
@@ -4530,28 +4594,28 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.14.2"
+version = "5.14.3"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "traitlets-5.14.2-py3-none-any.whl", hash = "sha256:fcdf85684a772ddeba87db2f398ce00b40ff550d1528c03c14dbf6a02003cd80"},
-    {file = "traitlets-5.14.2.tar.gz", hash = "sha256:8cdd83c040dab7d1dee822678e5f5d100b514f7b72b01615b26fc5718916fdf9"},
+    {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
+    {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
 ]
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.1)", "pytest-mock", "pytest-mypy-testing"]
+test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
 
 [[package]]
 name = "types-python-dateutil"
-version = "2.9.0.20240315"
+version = "2.9.0.20240316"
 description = "Typing stubs for python-dateutil"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-python-dateutil-2.9.0.20240315.tar.gz", hash = "sha256:c1f6310088eb9585da1b9f811765b989ed2e2cdd4203c1a367e944b666507e4e"},
-    {file = "types_python_dateutil-2.9.0.20240315-py3-none-any.whl", hash = "sha256:78aa9124f360df90bb6e85eb1a4d06e75425445bf5ecb13774cb0adef7ff3956"},
+    {file = "types-python-dateutil-2.9.0.20240316.tar.gz", hash = "sha256:5d2f2e240b86905e40944dd787db6da9263f0deabef1076ddaed797351ec0202"},
+    {file = "types_python_dateutil-2.9.0.20240316-py3-none-any.whl", hash = "sha256:6b8cb66d960771ce5ff974e9dd45e38facb81718cc1e208b10b1baccbfdbee3b"},
 ]
 
 [[package]]
@@ -4568,15 +4632,29 @@ files = [
 [package.dependencies]
 types-urllib3 = "*"
 
+[[package]]
+name = "types-requests"
+version = "2.32.0.20240602"
+description = "Typing stubs for requests"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types-requests-2.32.0.20240602.tar.gz", hash = "sha256:3f98d7bbd0dd94ebd10ff43a7fbe20c3b8528acace6d8efafef0b6a184793f06"},
+    {file = "types_requests-2.32.0.20240602-py3-none-any.whl", hash = "sha256:ed3946063ea9fbc6b5fc0c44fa279188bae42d582cb63760be6cb4b9d06c3de8"},
+]
+
+[package.dependencies]
+urllib3 = ">=2"
+
 [[package]]
 name = "types-setuptools"
-version = "69.5.0.20240423"
+version = "70.1.0.20240627"
 description = "Typing stubs for setuptools"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "types_setuptools-69.5.0.20240423-py3-none-any.whl", hash = "sha256:a4381e041510755a6c9210e26ad55b1629bc10237aeb9cb8b6bd24996b73db48"},
+    {file = "types-setuptools-70.1.0.20240627.tar.gz", hash = "sha256:385907a47b5cf302b928ce07953cd91147d5de6f3da604c31905fdf0ec309e83"},
+    {file = "types_setuptools-70.1.0.20240627-py3-none-any.whl", hash = "sha256:c7bdf05cd0a8b66868b4774c7b3c079d01ae025d8c9562bfc8bf2ff44d263c9c"},
 ]
 
 [[package]]
@@ -4592,13 +4670,13 @@ files = [
 
 [[package]]
 name = "typing-extensions"
-version = "4.11.0"
+version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
 [[package]]
@@ -4614,76 +4692,89 @@ files = [
 
 [[package]]
 name = "ujson"
-version = "5.9.0"
+version = "5.10.0"
 description = "Ultra fast JSON encoder and decoder for Python"
 optional = true
 python-versions = ">=3.8"
 files = [
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 [[package]]
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 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
+[[package]]
+name = "urllib3"
+version = "2.2.1"
+description = "HTTP library with thread-safe connection pooling, file post, and more."
+optional = false
+python-versions = ">=3.8"
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+zstd = ["zstandard (>=0.18.0)"]
+
 [[package]]
 name = "vcrpy"
 version = "6.0.1"
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 [[package]]
 name = "virtualenv"
-version = "20.25.1"
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 python-versions = ">=3.7"
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 [package.dependencies]
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+    {file = "watchdog-4.0.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:998d2be6976a0ee3a81fb8e2777900c28641fb5bfbd0c84717d89bca0addcdc5"},
+    {file = "watchdog-4.0.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:e7921319fe4430b11278d924ef66d4daa469fafb1da679a2e48c935fa27af193"},
+    {file = "watchdog-4.0.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:f0de0f284248ab40188f23380b03b59126d1479cd59940f2a34f8852db710625"},
+    {file = "watchdog-4.0.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:bca36be5707e81b9e6ce3208d92d95540d4ca244c006b61511753583c81c70dd"},
+    {file = "watchdog-4.0.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:ab998f567ebdf6b1da7dc1e5accfaa7c6992244629c0fdaef062f43249bd8dee"},
+    {file = "watchdog-4.0.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:dddba7ca1c807045323b6af4ff80f5ddc4d654c8bce8317dde1bd96b128ed253"},
+    {file = "watchdog-4.0.1-py3-none-manylinux2014_armv7l.whl", hash = "sha256:4513ec234c68b14d4161440e07f995f231be21a09329051e67a2118a7a612d2d"},
+    {file = "watchdog-4.0.1-py3-none-manylinux2014_i686.whl", hash = "sha256:4107ac5ab936a63952dea2a46a734a23230aa2f6f9db1291bf171dac3ebd53c6"},
+    {file = "watchdog-4.0.1-py3-none-manylinux2014_ppc64.whl", hash = "sha256:6e8c70d2cd745daec2a08734d9f63092b793ad97612470a0ee4cbb8f5f705c57"},
+    {file = "watchdog-4.0.1-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:f27279d060e2ab24c0aa98363ff906d2386aa6c4dc2f1a374655d4e02a6c5e5e"},
+    {file = "watchdog-4.0.1-py3-none-manylinux2014_s390x.whl", hash = "sha256:f8affdf3c0f0466e69f5b3917cdd042f89c8c63aebdb9f7c078996f607cdb0f5"},
+    {file = "watchdog-4.0.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ac7041b385f04c047fcc2951dc001671dee1b7e0615cde772e84b01fbf68ee84"},
+    {file = "watchdog-4.0.1-py3-none-win32.whl", hash = "sha256:206afc3d964f9a233e6ad34618ec60b9837d0582b500b63687e34011e15bb429"},
+    {file = "watchdog-4.0.1-py3-none-win_amd64.whl", hash = "sha256:7577b3c43e5909623149f76b099ac49a1a01ca4e167d1785c76eb52fa585745a"},
+    {file = "watchdog-4.0.1-py3-none-win_ia64.whl", hash = "sha256:d7b9f5f3299e8dd230880b6c55504a1f69cf1e4316275d1b215ebdd8187ec88d"},
+    {file = "watchdog-4.0.1.tar.gz", hash = "sha256:eebaacf674fa25511e8867028d281e602ee6500045b57f43b08778082f7f8b44"},
 ]
 
 [package.extras]
 watchmedo = ["PyYAML (>=3.10)"]
 
+[[package]]
+name = "wcmatch"
+version = "8.5.2"
+description = "Wildcard/glob file name matcher."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "wcmatch-8.5.2-py3-none-any.whl", hash = "sha256:17d3ad3758f9d0b5b4dedc770b65420d4dac62e680229c287bf24c9db856a478"},
+    {file = "wcmatch-8.5.2.tar.gz", hash = "sha256:a70222b86dea82fb382dd87b73278c10756c138bd6f8f714e2183128887b9eb2"},
+]
+
+[package.dependencies]
+bracex = ">=2.1.1"
+
 [[package]]
 name = "wcwidth"
 version = "0.2.13"
@@ -4809,18 +4934,18 @@ files = [
 
 [[package]]
 name = "webcolors"
-version = "1.13"
+version = "24.6.0"
 description = "A library for working with the color formats defined by HTML and CSS."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "webcolors-1.13-py3-none-any.whl", hash = "sha256:29bc7e8752c0a1bd4a1f03c14d6e6a72e93d82193738fa860cbff59d0fcc11bf"},
-    {file = "webcolors-1.13.tar.gz", hash = "sha256:c225b674c83fa923be93d235330ce0300373d02885cef23238813b0d5668304a"},
+    {file = "webcolors-24.6.0-py3-none-any.whl", hash = "sha256:8cf5bc7e28defd1d48b9e83d5fc30741328305a8195c29a8e668fa45586568a1"},
+    {file = "webcolors-24.6.0.tar.gz", hash = "sha256:1d160d1de46b3e81e58d0a280d0c78b467dc80f47294b91b1ad8029d2cedb55b"},
 ]
 
 [package.extras]
 docs = ["furo", "sphinx", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-notfound-page", "sphinxext-opengraph"]
-tests = ["pytest", "pytest-cov"]
+tests = ["coverage[toml]"]
 
 [[package]]
 name = "webencodings"
@@ -4835,43 +4960,29 @@ files = [
 
 [[package]]
 name = "websocket-client"
-version = "1.7.0"
+version = "1.8.0"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"},
-    {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"},
+    {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
+    {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
 ]
 
 [package.extras]
-docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
+docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"]
 optional = ["python-socks", "wsaccel"]
 test = ["websockets"]
 
-[[package]]
-name = "wheel"
-version = "0.43.0"
-description = "A built-package format for Python"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "wheel-0.43.0-py3-none-any.whl", hash = "sha256:55c570405f142630c6b9f72fe09d9b67cf1477fcf543ae5b8dcb1f5b7377da81"},
-    {file = "wheel-0.43.0.tar.gz", hash = "sha256:465ef92c69fa5c5da2d1cf8ac40559a8c940886afcef87dcf14b9470862f1d85"},
-]
-
-[package.extras]
-test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
-
 [[package]]
 name = "widgetsnbextension"
-version = "4.0.10"
+version = "4.0.11"
 description = "Jupyter interactive widgets for Jupyter Notebook"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "widgetsnbextension-4.0.10-py3-none-any.whl", hash = "sha256:d37c3724ec32d8c48400a435ecfa7d3e259995201fbefa37163124a9fcb393cc"},
-    {file = "widgetsnbextension-4.0.10.tar.gz", hash = "sha256:64196c5ff3b9a9183a8e699a4227fb0b7002f252c814098e66c4d1cd0644688f"},
+    {file = "widgetsnbextension-4.0.11-py3-none-any.whl", hash = "sha256:55d4d6949d100e0d08b94948a42efc3ed6dfdc0e9468b2c4b128c9a2ce3a7a36"},
+    {file = "widgetsnbextension-4.0.11.tar.gz", hash = "sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474"},
 ]
 
 [[package]]
@@ -4955,25 +5066,25 @@ files = [
 
 [[package]]
 name = "xarray"
-version = "2023.1.0"
+version = "2024.6.0"
 description = "N-D labeled arrays and datasets in Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "xarray-2023.1.0-py3-none-any.whl", hash = "sha256:7e530b1deafdd43e5c2b577d0944e6b528fbe88045fd849e49a8d11871ecd522"},
-    {file = "xarray-2023.1.0.tar.gz", hash = "sha256:7bee552751ff1b29dab8b7715726e5ecb56691ac54593cf4881dff41978ce0cd"},
+    {file = "xarray-2024.6.0-py3-none-any.whl", hash = "sha256:721a7394e8ec3d592b2d8ebe21eed074ac077dc1bb1bd777ce00e41700b4866c"},
+    {file = "xarray-2024.6.0.tar.gz", hash = "sha256:0b91e0bc4dc0296947947640fe31ec6e867ce258d2f7cbc10bedf4a6d68340c7"},
 ]
 
 [package.dependencies]
-numpy = ">=1.20"
-packaging = ">=21.3"
-pandas = ">=1.3"
+numpy = ">=1.23"
+packaging = ">=23.1"
+pandas = ">=2.0"
 
 [package.extras]
-accel = ["bottleneck", "flox", "numbagg", "scipy"]
-complete = ["bottleneck", "cfgrib", "cftime", "dask[complete]", "flox", "fsspec", "h5netcdf", "matplotlib", "nc-time-axis", "netCDF4", "numbagg", "pooch", "pydap", "rasterio", "scipy", "seaborn", "zarr"]
-docs = ["bottleneck", "cfgrib", "cftime", "dask[complete]", "flox", "fsspec", "h5netcdf", "ipykernel", "ipython", "jupyter-client", "matplotlib", "nbsphinx", "nc-time-axis", "netCDF4", "numbagg", "pooch", "pydap", "rasterio", "scanpydoc", "scipy", "seaborn", "sphinx-autosummary-accessors", "sphinx-rtd-theme", "zarr"]
-io = ["cfgrib", "cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap", "rasterio", "scipy", "zarr"]
+accel = ["bottleneck", "flox", "numbagg", "opt-einsum", "scipy"]
+complete = ["xarray[accel,dev,io,parallel,viz]"]
+dev = ["hypothesis", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-env", "pytest-timeout", "pytest-xdist", "ruff", "xarray[complete]"]
+io = ["cftime", "fsspec", "h5netcdf", "netCDF4", "pooch", "pydap", "scipy", "zarr"]
 parallel = ["dask[complete]"]
 viz = ["matplotlib", "nc-time-axis", "seaborn"]
 
@@ -5082,44 +5193,44 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zarr"
-version = "2.16.1"
+version = "2.18.2"
 description = "An implementation of chunked, compressed, N-dimensional arrays for Python"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "zarr-2.16.1-py3-none-any.whl", hash = "sha256:de4882433ccb5b42cc1ec9872b95e64ca3a13581424666b28ed265ad76c7056f"},
-    {file = "zarr-2.16.1.tar.gz", hash = "sha256:4276cf4b4a653431042cd53ff2282bc4d292a6842411e88529964504fb073286"},
+    {file = "zarr-2.18.2-py3-none-any.whl", hash = "sha256:a638754902f97efa99b406083fdc807a0e2ccf12a949117389d2a4ba9b05df38"},
+    {file = "zarr-2.18.2.tar.gz", hash = "sha256:9bb393b8a0a38fb121dbb913b047d75db28de9890f6d644a217a73cf4ae74f47"},
 ]
 
 [package.dependencies]
 asciitree = "*"
-fasteners = "*"
+fasteners = {version = "*", markers = "sys_platform != \"emscripten\""}
 numcodecs = ">=0.10.0"
-numpy = ">=1.20,<1.21.0 || >1.21.0"
+numpy = ">=1.23"
 
 [package.extras]
-docs = ["numcodecs[msgpack]", "numpydoc", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx-issues", "sphinx-rtd-theme"]
+docs = ["numcodecs[msgpack]", "numpydoc", "pydata-sphinx-theme", "sphinx", "sphinx-automodapi", "sphinx-copybutton", "sphinx-design", "sphinx-issues"]
 jupyter = ["ipytree (>=0.2.2)", "ipywidgets (>=8.0.0)", "notebook"]
 
 [[package]]
 name = "zipp"
-version = "3.18.1"
+version = "3.19.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
-    {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [extras]
 kerchunk = ["dask", "kerchunk"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.8,<4.0"
-content-hash = "08c34227a27f887cd4a40ce327357c7ca52e4ae50a88c0143fe09b19aa25d48c"
+python-versions = ">=3.9,<4.0"
+content-hash = "053e27d57acc91d68b6898389ddb15c20b78bb983490d0da7d83c528e6a0215e"
diff --git a/pyproject.toml b/pyproject.toml
index f1d38a74..0e15f45d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,14 +1,16 @@
 [tool.poetry]
 name = "earthaccess"
 version = "0.9.0"
-homepage = "https://github.com/nsidc/earthaccess"
+repository = "https://github.com/nsidc/earthaccess"
+documentation = "https://earthaccess.readthedocs.io"
 description = "Client library for NASA Earthdata APIs"
 authors = ["earthaccess contributors"]
 maintainers = [
     "Luis Lopez <betolin@gmail.com>",
     "Joseph H. Kennedy <jhkennedy@alaska.edu>",
     "James Bourbeau <james@coiled.io>",
-    "Matt Fisher <mfisher87@gmail.com>"
+    "Matt Fisher <mfisher87@gmail.com>",
+    "Chuck Daniels <chuck@developmentseed.org>"
 ]
 license = "MIT"
 readme = "README.md"
@@ -20,10 +22,10 @@ classifiers = [
     "Operating System :: Microsoft :: Windows",
     "Operating System :: MacOS",
     "Operating System :: POSIX :: Linux",
-    "Programming Language :: Python :: 3.8",
     "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
     "Topic :: Software Development :: Libraries",
     "Topic :: Software Development",
     "License :: OSI Approved :: MIT License",
@@ -33,7 +35,7 @@ classifiers = [
 # `ci/environment-mindeps.yaml` conda environment. When updating minimum dependencies
 # here, make sure to also update `ci/environment-mindeps.yaml`.
 [tool.poetry.dependencies]
-python = ">=3.8,<4.0"
+python = ">=3.9,<4.0"
 python-cmr = ">=0.10.0"
 pqdm = ">=0.1"
 requests = ">=2.26"
@@ -42,6 +44,11 @@ fsspec = ">=2022.11"
 tinynetrc = "^1.3.1"
 multimethod = ">=1.8"
 kerchunk = { version = ">=0.1.2", optional = true }
+# kerchunk requires numpy, but numpy >=1.26.0 is required for Python 3.12 support
+numpy = [
+  { version = ">=1.24.0", optional = true, python = "<3.12" },
+  { version = ">=1.26.0", optional = true, python = ">=3.12" }
+]
 dask = { version = ">=2022.1.0", optional = true }
 importlib-resources = ">=6.3.2"
 typing_extensions = ">=4.10.0"
@@ -49,7 +56,7 @@ typing_extensions = ">=4.10.0"
 [tool.poetry.extras]
 kerchunk = ["kerchunk", "dask"]
 
-[tool.poetry.dev-dependencies]
+[tool.poetry.group.dev.dependencies]
 python-magic = ">=0.4"
 mypy = ">=0.812"
 jupyterlab = ">=3"
@@ -61,7 +68,8 @@ pytest-watch = ">=4.2"
 # is no longer exported, which causes mkdocs-jupyter to
 # break with a ModuleNotFoundError.
 mkdocs = ">=1.2,!=1.6.0"
-mkdocs-material = ">=7.1,<9.0"
+mkdocs-material = ">=7.1,<10.0"
+mkdocs-redirects = ">=1.2.1"
 markdown-callouts = ">=0.2.0"
 markdown-include = ">=0.6"
 mkdocstrings = {extras = ["python"], version = ">=0.19.0"}
@@ -69,7 +77,7 @@ mkdocs-jupyter = ">=0.19.0"
 pymdown-extensions = ">=9.2"
 pygments = ">=2.11.1"
 responses = ">=0.14"
-ruff = "^0.4.2"
+ruff = ">=0.4.2"
 types-requests = ">=0.1"
 types-setuptools = ">=0.1"
 ipywidgets = ">=7.7.0"
@@ -78,10 +86,21 @@ widgetsnbextension = ">=3.6.0"
 xarray = ">=2023.01"
 matplotlib = ">=3.3"
 h5netcdf = ">=0.11"
-dask = ">=2022.1"
-pyproj = ">=3.5.0"
+pyproj = [
+  { version = ">=3.5.0", python = "<3.12" },
+  { version = ">=3.6.1", python = ">=3.12" }
+]
 bump-my-version = ">=0.10.0"
 vcrpy = ">=6.0.1"
+# The following error occurs when building the docs, so we must explicitly
+# include lxml-html-clean as a dev dependency until mkdocs-jupyter is updated:
+#
+#   ImportError: lxml.html.clean module is now a separate project lxml_html_clean.
+#   Install lxml[html_clean] or lxml_html_clean directly.
+#
+# See https://github.com/danielfrg/mkdocs-jupyter/issues/200
+# See https://github.com/danielfrg/mkdocs-jupyter/issues/197
+lxml-html-clean = ">=0.1.1"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
@@ -125,7 +144,12 @@ line-length = 88
 src = ["earthaccess", "stubs", "tests"]
 
 [tool.ruff.lint]
-extend-select = ["I", "T20"]
+extend-select = ["I", "T20", "D"]
+ignore = ["D1", "D205", "D401", "D417"]
+
+[tool.ruff.lint.pydocstyle]
+convention = "google"
+
 
 [tool.ruff.lint.isort]
 combine-as-imports = true
diff --git a/tests/integration/test_cloud_download.py b/tests/integration/test_cloud_download.py
index a9b9432c..4e8f9519 100644
--- a/tests/integration/test_cloud_download.py
+++ b/tests/integration/test_cloud_download.py
@@ -72,9 +72,8 @@
 
 
 def get_sample_granules(granules, sample_size, max_granule_size):
-    """
-    returns a list with sample granules and their size in MB if
-    the total size is less than the max_granule_size
+    """Returns a list with sample granules and their size in MB if
+    the total size is less than the max_granule_size.
     """
     files_to_download = []
     total_size = 0
@@ -98,9 +97,7 @@ def get_sample_granules(granules, sample_size, max_granule_size):
 
 @pytest.mark.parametrize("daac", daac_list)
 def test_earthaccess_can_download_cloud_collection_granules(daac):
-    """
-    Tests that we can download cloud collections using HTTPS links
-    """
+    """Tests that we can download cloud collections using HTTPS links."""
     daac_shortname = daac["short_name"]
     collections_count = daac["collections_count"]
     collections_sample_size = daac["collections_sample_size"]
diff --git a/tests/integration/test_cloud_open.py b/tests/integration/test_cloud_open.py
index 78050f22..b69eba15 100644
--- a/tests/integration/test_cloud_open.py
+++ b/tests/integration/test_cloud_open.py
@@ -71,9 +71,8 @@
 
 
 def get_sample_granules(granules, sample_size, max_granule_size):
-    """
-    returns a list with sample granules and their size in MB if
-    the total size is less than the max_granule_size
+    """Returns a list with sample granules and their size in MB if
+    the total size is less than the max_granule_size.
     """
     files_to_download = []
     total_size = 0
@@ -104,9 +103,7 @@ def supported_collection(data_links):
 
 @pytest.mark.parametrize("daac", daacs_list)
 def test_earthaccess_can_open_onprem_collection_granules(daac):
-    """
-    Tests that we can download cloud collections using HTTPS links
-    """
+    """Tests that we can download cloud collections using HTTPS links."""
     daac_shortname = daac["short_name"]
     collections_count = daac["collections_count"]
     collections_sample_size = daac["collections_sample_size"]
diff --git a/tests/integration/test_onprem_download.py b/tests/integration/test_onprem_download.py
index d54404c8..242a3c26 100644
--- a/tests/integration/test_onprem_download.py
+++ b/tests/integration/test_onprem_download.py
@@ -64,9 +64,8 @@
 
 
 def get_sample_granules(granules, sample_size, max_granule_size):
-    """
-    returns a list with sample granules and their size in MB if
-    the total size is less than the max_granule_size
+    """Returns a list with sample granules and their size in MB if
+    the total size is less than the max_granule_size.
     """
     files_to_download = []
     total_size = 0
@@ -97,9 +96,7 @@ def supported_collection(data_links):
 
 @pytest.mark.parametrize("daac", daacs_list)
 def test_earthaccess_can_download_onprem_collection_granules(daac):
-    """
-    Tests that we can download cloud collections using HTTPS links
-    """
+    """Tests that we can download cloud collections using HTTPS links."""
     daac_shortname = daac["short_name"]
     collections_count = daac["collections_count"]
     collections_sample_size = daac["collections_sample_size"]
diff --git a/tests/integration/test_onprem_open.py b/tests/integration/test_onprem_open.py
index 02a2c60a..2a455c44 100644
--- a/tests/integration/test_onprem_open.py
+++ b/tests/integration/test_onprem_open.py
@@ -63,9 +63,8 @@
 
 
 def get_sample_granules(granules, sample_size, max_granule_size):
-    """
-    returns a list with sample granules and their size in MB if
-    the total size is less than the max_granule_size
+    """Returns a list with sample granules and their size in MB if
+    the total size is less than the max_granule_size.
     """
     files_to_download = []
     total_size = 0
@@ -96,9 +95,7 @@ def supported_collection(data_links):
 
 @pytest.mark.parametrize("daac", daacs_list)
 def test_earthaccess_can_open_onprem_collection_granules(daac):
-    """
-    Tests that we can download cloud collections using HTTPS links
-    """
+    """Tests that we can download cloud collections using HTTPS links."""
     daac_shortname = daac["short_name"]
     collections_count = daac["collections_count"]
     collections_sample_size = daac["collections_sample_size"]
diff --git a/tests/unit/test_results.py b/tests/unit/test_results.py
index c669e8d7..b55fd32f 100644
--- a/tests/unit/test_results.py
+++ b/tests/unit/test_results.py
@@ -14,8 +14,7 @@
 
 
 def unique_results(results):
-    """
-    When we invoke a search request multiple times we want to ensure that we don't
+    """When we invoke a search request multiple times we want to ensure that we don't
     get the same results back. This is a one shot test as the results are preserved
     by VCR but still useful.
     """
@@ -120,10 +119,9 @@ def test_data_links(self):
         )
 
     def test_get_more_than_2000(self):
-        """
-        If we execute a get with a limit of more than 2000
+        """If we execute a get with a limit of more than 2000
         then we expect multiple invocations of a cmr granule search and
-        to not fetch back more results than we ask for
+        to not fetch back more results than we ask for.
         """
         granules = earthaccess.search_data(short_name="MOD02QKM", count=3000)
 
@@ -133,10 +131,9 @@ def test_get_more_than_2000(self):
         self.assertTrue(unique_results(granules))
 
     def test_get(self):
-        """
-        If we execute a get with no arguments then we expect
+        """If we execute a get with no arguments then we expect
         to get the maximum no. of granules from a single CMR call (2000)
-        in a single request
+        in a single request.
         """
         granules = earthaccess.search_data(short_name="MOD02QKM", count=2000)
 
@@ -146,10 +143,9 @@ def test_get(self):
         self.assertTrue(unique_results(granules))
 
     def test_get_all_less_than_2k(self):
-        """
-        If we execute a get_all then we expect multiple
+        """If we execute a get_all then we expect multiple
         invocations of a cmr granule search and
-        to not fetch back more results than we ask for
+        to not fetch back more results than we ask for.
         """
         granules = earthaccess.search_data(
             short_name="TELLUS_GRAC_L3_JPL_RL06_LND_v04", count=2000
@@ -161,10 +157,9 @@ def test_get_all_less_than_2k(self):
         self.assertTrue(unique_results(granules))
 
     def test_get_all_more_than_2k(self):
-        """
-        If we execute a get_all then we expect multiple
+        """If we execute a get_all then we expect multiple
         invocations of a cmr granule search and
-        to not fetch back more results than we ask for
+        to not fetch back more results than we ask for.
         """
         granules = earthaccess.search_data(
             short_name="CYGNSS_NOAA_L2_SWSP_25KM_V1.2", count=3000
@@ -182,10 +177,9 @@ def test_get_all_more_than_2k(self):
         self.assertTrue(unique_results(granules))
 
     def test_collections_less_than_2k(self):
-        """
-        If we execute a get_all then we expect multiple
+        """If we execute a get_all then we expect multiple
         invocations of a cmr granule search and
-        to not fetch back more results than we ask for
+        to not fetch back more results than we ask for.
         """
         query = DataCollections().daac("PODAAC").cloud_hosted(True)
         collections = query.get(20)
@@ -197,10 +191,9 @@ def test_collections_less_than_2k(self):
         self.assert_is_using_search_after(self.cassette)
 
     def test_collections_more_than_2k(self):
-        """
-        If we execute a get_all then we expect multiple
+        """If we execute a get_all then we expect multiple
         invocations of a cmr granule search and
-        to not fetch back more results than we ask for
+        to not fetch back more results than we ask for.
         """
         query = DataCollections()
         collections = query.get(3000)