From 3a9a5f5be7d7169e5dabe4e1f1517c105b9e0e68 Mon Sep 17 00:00:00 2001
From: Joseph H Kennedy <me@jhkennedy.org>
Date: Fri, 7 Jun 2024 12:28:12 -0800
Subject: [PATCH 01/11] Add code of conduct and redirects to our docs

---
 docs/contributing/code-of-conduct.md |   1 +
 docs/contributing/index.md           |   2 +-
 mkdocs.yml                           |   5 +
 poetry.lock                          | 982 +++++++++++++--------------
 pyproject.toml                       |   1 +
 5 files changed, 497 insertions(+), 494 deletions(-)
 create mode 100644 docs/contributing/code-of-conduct.md

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/mkdocs.yml b/mkdocs.yml
index 579e0787..387588ff 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 +64,7 @@ nav:
       - "Development": "contributing/development.md"
       - "Releasing": "contributing/releasing.md"
       - "Our meet-ups": "contributing/our-meet-ups.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 b5c6df6f..4412b582 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,25 +1,25 @@
-# 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 = "2.12.3"
+version = "2.13.0"
 description = "Async client for aws services using botocore and aiohttp"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiobotocore-2.12.3-py3-none-any.whl", hash = "sha256:86737685f4625e8f05c4e7a608a07cc97607263279f66cf6b02b640c4eafd324"},
-    {file = "aiobotocore-2.12.3.tar.gz", hash = "sha256:e2a2929207bc5d62eb556106c2224c1fd106d5c65be2eb69f15cc8c34c44c236"},
+    {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,<1.34.70"
+botocore = ">=1.34.70,<1.34.107"
 wrapt = ">=1.10.10,<2.0.0"
 
 [package.extras]
-awscli = ["awscli (>=1.32.41,<1.32.70)"]
-boto3 = ["boto3 (>=1.34.41,<1.34.70)"]
+awscli = ["awscli (>=1.32.70,<1.32.107)"]
+boto3 = ["boto3 (>=1.34.70,<1.34.107)"]
 
 [[package]]
 name = "aiohttp"
@@ -147,24 +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]]
 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]
@@ -351,17 +351,6 @@ files = [
 [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 = [
-    {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"},
-    {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"},
-]
-
 [[package]]
 name = "beautifulsoup4"
 version = "4.12.3"
@@ -403,13 +392,13 @@ css = ["tinycss2 (>=1.1.0,<1.3)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.69"
+version = "1.34.106"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.34.69-py3-none-any.whl", hash = "sha256:d3802d076d4d507bf506f9845a6970ce43adc3d819dd57c2791f5c19ed6e5950"},
-    {file = "botocore-1.34.69.tar.gz", hash = "sha256:d1ab2bff3c2fd51719c2021d9fa2f30fbb9ed0a308f69e9a774ac92c8091380a"},
+    {file = "botocore-1.34.106-py3-none-any.whl", hash = "sha256:4baf0e27c2dfc4f4d0dee7c217c716e0782f9b30e8e1fff983fce237d88f73ae"},
+    {file = "botocore-1.34.106.tar.gz", hash = "sha256:921fa5202f88c3e58fdcb4b3acffd56d65b24bca47092ee4b27aa988556c0be6"},
 ]
 
 [package.dependencies]
@@ -421,7 +410,7 @@ urllib3 = [
 ]
 
 [package.extras]
-crt = ["awscrt (==0.19.19)"]
+crt = ["awscrt (==0.20.9)"]
 
 [[package]]
 name = "bounded-pool-executor"
@@ -447,13 +436,13 @@ files = [
 
 [[package]]
 name = "bump-my-version"
-version = "0.21.1"
+version = "0.22.0"
 description = "Version bump your Python project"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "bump_my_version-0.21.1-py3-none-any.whl", hash = "sha256:946a7edcf30c5a8574c579684df983136ea395f70c184e4db32eb3e307584c14"},
-    {file = "bump_my_version-0.21.1.tar.gz", hash = "sha256:ec612474e9e790c3fbbfed153a10b356f84fc15096ceff181b399d5e985bfacc"},
+    {file = "bump_my_version-0.22.0-py3-none-any.whl", hash = "sha256:57cd3ba68b8a84d774a9abd247a6c6323192151fa2b41f22eb6763cb17dfebee"},
+    {file = "bump_my_version-0.22.0.tar.gz", hash = "sha256:b96f180d6aa154e98e199753e83847587609bd897df9114248e6392324c89620"},
 ]
 
 [package.dependencies]
@@ -473,13 +462,13 @@ test = ["coverage", "freezegun", "pre-commit", "pytest", "pytest-cov", "pytest-m
 
 [[package]]
 name = "certifi"
-version = "2024.2.2"
+version = "2024.6.2"
 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-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
+    {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"},
 ]
 
 [[package]]
@@ -711,137 +700,126 @@ test = ["pytest"]
 
 [[package]]
 name = "contourpy"
-version = "1.1.1"
+version = "1.2.1"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -1039,53 +1017,53 @@ typing = ["typing-extensions (>=4.8)"]
 
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 ]
 
 [package.extras]
@@ -1201,13 +1179,13 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2024.3.1"
+version = "2024.6.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1215,7 +1193,8 @@ abfs = ["adlfs"]
 adl = ["adlfs"]
 arrow = ["pyarrow (>=1)"]
 dask = ["dask", "distributed"]
-devel = ["pytest", "pytest-cov"]
+dev = ["pre-commit", "ruff"]
+doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
 dropbox = ["dropbox", "dropboxdrivefs", "requests"]
 full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
 fuse = ["fusepy"]
@@ -1232,6 +1211,9 @@ s3 = ["s3fs"]
 sftp = ["paramiko"]
 smb = ["smbprotocol"]
 ssh = ["paramiko"]
+test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
+test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
+test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
 [[package]]
@@ -1253,13 +1235,13 @@ dev = ["flake8", "markdown", "twine", "wheel"]
 
 [[package]]
 name = "griffe"
-version = "0.45.0"
+version = "0.45.3"
 description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1480,42 +1462,40 @@ 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 = [
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 ]
 
 [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"]
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+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"
@@ -1612,13 +1592,13 @@ files = [
 
 [[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]]
@@ -1666,13 +1646,13 @@ 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]
@@ -1685,7 +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"
@@ -1749,13 +1729,13 @@ jupyter-server = ">=1.1.2"
 
 [[package]]
 name = "jupyter-server"
-version = "2.14.0"
+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-2.14.0-py3-none-any.whl", hash = "sha256:fb6be52c713e80e004fac34b35a0990d6d36ba06fd0a2b2ed82b899143a64210"},
-    {file = "jupyter_server-2.14.0.tar.gz", hash = "sha256:659154cea512083434fd7c93b7fe0897af7a2fd0b9dd4749282b42eaac4ae677"},
+    {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]
@@ -1780,7 +1760,7 @@ traitlets = ">=5.6.0"
 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"]
+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]]
@@ -1804,13 +1784,13 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
 
 [[package]]
 name = "jupyterlab"
-version = "4.2.1"
+version = "4.2.2"
 description = "JupyterLab computational environment"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyterlab-4.2.1-py3-none-any.whl", hash = "sha256:6ac6e3827b3c890e6e549800e8a4f4aaea6a69321e2240007902aa7a0c56a8e4"},
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+    {file = "jupyterlab-4.2.2-py3-none-any.whl", hash = "sha256:59ee9b839f43308c3dfd55d72d1f1a299ed42a7f91f2d1afe9c12a783f9e525f"},
+    {file = "jupyterlab-4.2.2.tar.gz", hash = "sha256:a534b6a25719a92a40d514fb133a9fe8f0d9981b0bbce5d8a5fcaa33344a3038"},
 ]
 
 [package.dependencies]
@@ -1825,6 +1805,7 @@ 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 = "*"
@@ -1849,13 +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 = [
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+    {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]
@@ -2601,6 +2582,25 @@ 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 = [
+    {file = "mkdocs-redirects-1.2.1.tar.gz", hash = "sha256:9420066d70e2a6bb357adf86e67023dcdca1857f97f07c7fe450f8f1fb42f861"},
+    {file = "mkdocs_redirects-1.2.1-py3-none-any.whl", hash = "sha256:497089f9e0219e7389304cffefccdfa1cac5ff9509f2cb706f4c9b221726dffb"},
+]
+
+[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 = "0.25.1"
@@ -2632,18 +2632,18 @@ python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"]
 
 [[package]]
 name = "mkdocstrings-python"
-version = "1.10.0"
+version = "1.10.3"
 description = "A Python handler for mkdocstrings."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "mkdocstrings_python-1.10.3-py3-none-any.whl", hash = "sha256:11ff6d21d3818fb03af82c3ea6225b1534837e17f790aa5f09626524171f949b"},
+    {file = "mkdocstrings_python-1.10.3.tar.gz", hash = "sha256:321cf9c732907ab2b1fedaafa28765eaa089d89320f35f7206d00ea266889d03"},
 ]
 
 [package.dependencies]
 griffe = ">=0.44"
-mkdocstrings = ">=0.24.2"
+mkdocstrings = ">=0.25"
 
 [[package]]
 name = "multidict"
@@ -2907,18 +2907,15 @@ files = [
 
 [[package]]
 name = "nodeenv"
-version = "1.8.0"
+version = "1.9.1"
 description = "Node.js virtual environment builder"
 optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
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+    {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"},
+    {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
 ]
 
-[package.dependencies]
-setuptools = "*"
-
 [[package]]
 name = "notebook-shim"
 version = "0.2.4"
@@ -3034,13 +3031,13 @@ files = [
 
 [[package]]
 name = "packaging"
-version = "24.0"
+version = "24.1"
 description = "Core utilities for Python packages"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
 ]
 
 [[package]]
@@ -3055,70 +3052,76 @@ files = [
 
 [[package]]
 name = "pandas"
-version = "2.0.3"
+version = "2.2.2"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
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-    {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
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 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
-tzdata = ">=2022.1"
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 [[package]]
 name = "pandocfilters"
@@ -3148,13 +3151,13 @@ testing = ["docopt", "pytest"]
 
 [[package]]
 name = "partd"
-version = "1.4.1"
+version = "1.4.2"
 description = "Appendable key-value storage"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -3162,7 +3165,7 @@ locket = "*"
 toolz = "*"
 
 [package.extras]
-complete = ["blosc", "numpy (>=1.9.0)", "pandas (>=0.19.0)", "pyzmq"]
+complete = ["blosc", "numpy (>=1.20.0)", "pandas (>=1.3)", "pyzmq"]
 
 [[package]]
 name = "pathspec"
@@ -3189,17 +3192,6 @@ files = [
 [package.dependencies]
 ptyprocess = ">=0.5"
 
-[[package]]
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-version = "0.7.5"
-description = "Tiny 'shelve'-like database with concurrency support"
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-python-versions = "*"
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-
 [[package]]
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 version = "10.3.0"
@@ -3288,13 +3280,13 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.2.1"
+version = "4.2.2"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
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 [package.extras]
@@ -3367,13 +3359,13 @@ twisted = ["twisted"]
 
 [[package]]
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+version = "3.0.47"
 description = "Library for building powerful interactive command lines in Python"
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 [package.dependencies]
@@ -3445,18 +3437,18 @@ files = [
 
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 [package.dependencies]
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 typing-extensions = ">=4.6.1"
 
 [package.extras]
@@ -3464,90 +3456,90 @@ email = ["email-validator (>=2.0.0)"]
 
 [[package]]
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 [[package]]
 name = "pydantic-settings"
-version = "2.2.1"
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 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
-pydantic = ">=2.3.0"
+pydantic = ">=2.7.0"
 python-dotenv = ">=0.21.0"
 
 [package.extras]
@@ -3853,7 +3845,6 @@ files = [
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@@ -4004,17 +3995,20 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
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-version = "2.0.1"
+version = "1.10.0"
 description = "Python library to build pretty command line user prompts ⭐️"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.6,<4.0"
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 ]
 
 [package.dependencies]
-prompt_toolkit = ">=2.0,<=3.0.36"
+prompt_toolkit = ">=2.0,<4.0"
+
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 [[package]]
 name = "referencing"
@@ -4204,13 +4198,13 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
 [[package]]
 name = "rich-click"
-version = "1.8.2"
+version = "1.8.3"
 description = "Format click help output nicely with rich"
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -4358,19 +4352,19 @@ files = [
 
 [[package]]
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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 = "2024.3.1"
+fsspec = "==2024.6.0.*"
 
 [package.extras]
 awscli = ["aiobotocore[awscli] (>=2.5.4,<3.0.0)"]
@@ -4394,19 +4388,18 @@ win32 = ["pywin32"]
 
 [[package]]
 name = "setuptools"
-version = "69.5.1"
+version = "70.0.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [[package]]
 name = "six"
@@ -4550,22 +4543,22 @@ 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"
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 ]
 
 [[package]]
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 [[package]]
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 python-versions = ">=3.8"
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 [package.dependencies]
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 [[package]]
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 python-versions = ">=3.8"
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 ]
 
 [package.extras]
@@ -4902,13 +4898,13 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "wcmatch"
-version = "8.5.1"
+version = "8.5.2"
 description = "Wildcard/glob file name matcher."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "wcmatch-8.5.1-py3-none-any.whl", hash = "sha256:24c19cedc92bc9c9e27f39db4e1824d72f95bd2cea32b254a47a45b1a1b227ed"},
-    {file = "wcmatch-8.5.1.tar.gz", hash = "sha256:c0088c7f6426cf6bf27e530e2b7b734031905f7e490475fd83c7c5008ab581b3"},
+    {file = "wcmatch-8.5.2-py3-none-any.whl", hash = "sha256:17d3ad3758f9d0b5b4dedc770b65420d4dac62e680229c287bf24c9db856a478"},
+    {file = "wcmatch-8.5.2.tar.gz", hash = "sha256:a70222b86dea82fb382dd87b73278c10756c138bd6f8f714e2183128887b9eb2"},
 ]
 
 [package.dependencies]
@@ -4927,18 +4923,18 @@ 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"
@@ -5186,39 +5182,39 @@ 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"]
@@ -5226,4 +5222,4 @@ kerchunk = ["dask", "kerchunk"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "c0b21a1967a7180dacd40613c433d31314f72477b02bc4105a4639f22eb5656f"
+content-hash = "053e27d57acc91d68b6898389ddb15c20b78bb983490d0da7d83c528e6a0215e"
diff --git a/pyproject.toml b/pyproject.toml
index d6baf9bb..245dc849 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -68,6 +68,7 @@ pytest-watch = ">=4.2"
 # break with a ModuleNotFoundError.
 mkdocs = ">=1.2,!=1.6.0"
 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"}

From 00ccd5e440249f9818c84bc8f215be6a97939f84 Mon Sep 17 00:00:00 2001
From: Sherwin-14 <varghesesheriwn@gmail.com>
Date: Tue, 11 Jun 2024 22:18:53 +0530
Subject: [PATCH 02/11] Removed dask.ipynb

---
 docs/tutorials/dask.ipynb | 2131 -------------------------------------
 1 file changed, 2131 deletions(-)
 delete mode 100644 docs/tutorials/dask.ipynb

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": {
-      "application/vnd.jupyter.widget-view+json": {
-       "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": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "594cca23d8c04e30b51331f154f82764",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "PROCESSING | :   0%|          | 0/30 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0b0cbd3ae4784355a7e46f83e91c4b6a",
-       "version_major": 2,
-       "version_minor": 0
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-      "text/plain": [
-       "COLLECTING | :   0%|          | 0/30 [00:00<?, ?it/s]"
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-     "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": {
-      "text/html": [
-       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-       "<defs>\n",
-       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
-       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
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-       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-       "</symbol>\n",
-       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
-       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
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-       "</symbol>\n",
-       "</defs>\n",
-       "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-       " *\n",
-       " */\n",
-       "\n",
-       ":root {\n",
-       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
-       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
-       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
-       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
-       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
-       "  --xr-background-color: var(--jp-layout-color0, white);\n",
-       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
-       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
-       "}\n",
-       "\n",
-       "html[theme=dark],\n",
-       "body[data-theme=dark],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-       "  --xr-border-color: #1F1F1F;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "}\n",
-       "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-array-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: '►';\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</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",
-       "                    </tr>\n",
-       "                </tbody>\n",
-       "            </table>\n",
-       "        </td>\n",
-       "        <td>\n",
-       "        <svg width=\"194\" height=\"124\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
-       "\n",
-       "  <!-- Horizontal lines -->\n",
-       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"10\" y1=\"60\" x2=\"24\" y2=\"74\" style=\"stroke-width:2\" />\n",
-       "\n",
-       "  <!-- Vertical lines -->\n",
-       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"60\" style=\"stroke-width:2\" />\n",
-       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"60\" />\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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-       "        </td>\n",
-       "    </tr>\n",
-       "</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",
-       "    <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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-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sses_bias</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-52684a02-55d7-4a32-87bd-4cd59ecc55eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52684a02-55d7-4a32-87bd-4cd59ecc55eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8112ab47-6d79-4048-b1c4-6079b21a69cc' class='xr-var-data-in' type='checkbox'><label for='data-8112ab47-6d79-4048-b1c4-6079b21a69cc' 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>Bias is derived against Piecewise Regression SST produced by local regressions with buoys. Subtracting sses_bias from sea_surface_temperature produces more accurate estimate of SST at the depth of buoys. Further information at (Petrenko et al., JTECH, 2016; doi:10.1175/JTECH-D-15-0166.1)</dd><dt><span>long_name :</span></dt><dd>SSES bias estimate</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",
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-       "                    <tr>\n",
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-       "                        <td> 18.10 GiB </td>\n",
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-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sses_standard_deviation</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-cbd39f06-d2ce-486a-923d-e8755a072500' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbd39f06-d2ce-486a-923d-e8755a072500' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-914f6708-e161-439d-ad4c-4fe332086b58' class='xr-var-data-in' type='checkbox'><label for='data-914f6708-e161-439d-ad4c-4fe332086b58' 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>Standard deviation of sea_surface_temperature from SST measured by drifting buoys. Further information at (Petrenko et al., JTECH, 2016; doi:10.1175/JTECH-D-15-0166.1)</dd><dt><span>long_name :</span></dt><dd>SSES standard deviation</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",
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-       "                        <td> 18.10 GiB </td>\n",
-       "                        <td> 617.98 MiB </td>\n",
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-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed</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-e0dbd68a-3527-4c3a-8b95-e6961dba5ebe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0dbd68a-3527-4c3a-8b95-e6961dba5ebe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-744891a7-a76a-47a6-8aa0-51bb8945aaa8' class='xr-var-data-in' type='checkbox'><label for='data-744891a7-a76a-47a6-8aa0-51bb8945aaa8' 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>Typically represents surface winds (10 meters above the sea surface)</dd><dt><span>height :</span></dt><dd>10 m</dd><dt><span>long_name :</span></dt><dd>wind speed</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>valid_max :</span></dt><dd>127</dd><dt><span>valid_min :</span></dt><dd>-127</dd><dt><span>source :</span></dt><dd>Wind speed from MERRA-2 data</dd><dt><span>coverage_content_type :</span></dt><dd>auxiliaryInformation</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd></dl></div><div class='xr-var-data'><table>\n",
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-       "                </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",
-       "</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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-       "                        <th> Chunk </th>\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",
-       "</svg>\n",
-       "        </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",
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-       "        <td>\n",
-       "            <table style=\"border-collapse: collapse;\">\n",
-       "                <thead>\n",
-       "                    <tr>\n",
-       "                        <td> </td>\n",
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-       "                    </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=\"164.948598\" y=\"44.948598\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,44.948598)\">9000</text>\n",
-       "  <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",
-       "</svg>\n",
-       "        </td>\n",
-       "    </tr>\n",
-       "</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
-}

From dbcf38b394f3fd7407b887bd0d3ce22da019d190 Mon Sep 17 00:00:00 2001
From: Sherwin-14 <varghesesheriwn@gmail.com>
Date: Tue, 11 Jun 2024 16:26:34 +0530
Subject: [PATCH 03/11] Did the necessary docstring cleanup as discussed in
 #590

---
 earthaccess/auth.py   | 7 ++++---
 earthaccess/search.py | 7 +++++--
 earthaccess/store.py  | 3 +++
 3 files changed, 12 insertions(+), 5 deletions(-)

diff --git a/earthaccess/auth.py b/earthaccess/auth.py
index d8450c44..0efeca84 100644
--- a/earthaccess/auth.py
+++ b/earthaccess/auth.py
@@ -47,9 +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
 
@@ -93,7 +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.
@@ -132,6 +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.
         """
@@ -188,6 +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/search.py b/earthaccess/search.py
index 6dd7f004..db6d5bb8 100644
--- a/earthaccess/search.py
+++ b/earthaccess/search.py
@@ -114,8 +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:
@@ -469,6 +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.
 
@@ -561,6 +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
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.
 

From 5f80ffbbd6e52ed9a52c5b36f1c21eeae3faf22b Mon Sep 17 00:00:00 2001
From: Joseph H Kennedy <me@jhkennedy.org>
Date: Tue, 11 Jun 2024 09:37:10 -0800
Subject: [PATCH 04/11] Add mkdocs-redirects to ci/environment-dev.yml for
 "reasons"

---
 ci/environment-dev.yml | 1 +
 1 file changed, 1 insertion(+)

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

From e8c5d0d5c4d1de6566fe2406b2448d284c82e847 Mon Sep 17 00:00:00 2001
From: Ian Carroll <ian.t.carroll@nasa.gov>
Date: Thu, 13 Jun 2024 12:51:17 -0400
Subject: [PATCH 05/11] remove unused provider list

---
 earthaccess/daac.py | 12 ------------
 1 file changed, 12 deletions(-)

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/",

From d7331f4687e5cb458e4ed813d5be7db3c01130d8 Mon Sep 17 00:00:00 2001
From: Ian Carroll <carroll.ian@gmail.com>
Date: Fri, 21 Jun 2024 14:36:44 -0400
Subject: [PATCH 06/11] better pypi links

---
 pyproject.toml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 245dc849..0e15f45d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,8 @@
 [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 = [

From c06693d32c1c6db42d2c7f4e297575c807a9f3b3 Mon Sep 17 00:00:00 2001
From: Sherwin-14 <varghesesheriwn@gmail.com>
Date: Sun, 23 Jun 2024 19:42:00 +0530
Subject: [PATCH 07/11] Initial draft

---
 docs/maintainers-guide.md | 59 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 59 insertions(+)
 create mode 100644 docs/maintainers-guide.md

diff --git a/docs/maintainers-guide.md b/docs/maintainers-guide.md
new file mode 100644
index 00000000..8052f8e8
--- /dev/null
+++ b/docs/maintainers-guide.md
@@ -0,0 +1,59 @@
+# 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. We expect you to be actively involved.
+
+Also, if you're interested in helping managing issues with labels and interacting with incoming requests, you can have a "triager" role!
+
+## 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](#making-a-release).
+
+# 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.
+
+gh-pages: This branch hosts HTML docs, updated by GitHub Actions. Don't commit directly. Make changes in a separate branch, then submit a pull request. GitHub Actions will automatically update docs on gh-pages when merged.
+
+# Continuous Integration
+
+The GitHub Actions CI services handle the project's building, testing, and management across Linux, macOS, and Windows platforms. The CI file manages the continuous integration processes, and list out their respective dependencies. Here we briefly summarize the functions of the files in CI.
+
+```environment-dev.yml ```  - The environment configuration file specifies dependencies for Python development.
+
+```environment-mindeps.yaml``` - The test-environment file lists required and test dependencies for a testing environment.
+
+# Continuous Documentation
+
+The Read the Docs service is used to preview documentation changes made in pull requests. This service uses a configuration file, ```.readthedocs.yaml```.
+
+# Making a Release
+
+To automate releases, we employ a script called ```publish.sh``` in the scripts folder. This script utilizes Poetry for managing and publishing the package to PyPI.
+

From b4d27f7e407c56eeb432f9e31ccf7e94abcb8e0a Mon Sep 17 00:00:00 2001
From: Sherwin-14 <varghesesheriwn@gmail.com>
Date: Mon, 24 Jun 2024 13:38:21 +0530
Subject: [PATCH 08/11] Made the discusssed changes

---
 docs/maintainers-guide.md | 31 +++++++++++++++----------------
 1 file changed, 15 insertions(+), 16 deletions(-)

diff --git a/docs/maintainers-guide.md b/docs/maintainers-guide.md
index 8052f8e8..123a6f6c 100644
--- a/docs/maintainers-guide.md
+++ b/docs/maintainers-guide.md
@@ -2,22 +2,24 @@
 
 This page offers guidance to project maintainers regarding our setup procedures, release processes, package creation, and other related tasks.
 
-# Maintainer Onboarding and Best Practices
+## Maintainer Onboarding and Best Practices
 
-## Becoming a Maintainer or Triager
+### Becoming a Maintainer or Triager
 
-If you are interested in becoming a maintainer, you can join our community. We expect you to be actively involved.
+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!
 
-## Maintainer Responsibilities and Expectations
+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
+### 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.
 
@@ -33,27 +35,24 @@ Also, if you're interested in helping managing issues with labels and interactin
 
     3d. Merge contributions promptly.
 
-4. As a maintainer, you will be releasing different versions. More on this in [here](#making-a-release).
+4. As a maintainer, you will be releasing different versions. More on this in [here](./contributing/releasing.md).
 
-# Branches
+## 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.
 
-gh-pages: This branch hosts HTML docs, updated by GitHub Actions. Don't commit directly. Make changes in a separate branch, then submit a pull request. GitHub Actions will automatically update docs on gh-pages when merged.
 
-# Continuous Integration
+## Continuous Integration & Delivery
 
-The GitHub Actions CI services handle the project's building, testing, and management across Linux, macOS, and Windows platforms. The CI file manages the continuous integration processes, and list out their respective dependencies. Here we briefly summarize the functions of the files in CI.
+The GitHub Actions CI services handle the project's building, testing, and management across Linux, macOS, and Windows platforms. The CI files can be found in the `./.github/workflows/` which manage the continuous integration process, the dependencies are listed out in the `./ci/environment-dev.yml` file. 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-dev.yml` - The environment configuration file specifies dependencies for Python development.
 
-```environment-mindeps.yaml``` - The test-environment file lists required and test dependencies for a testing environment.
+`environment-mindeps.yaml`- Specifies an environment with the minimum supported dependency versions to detect backwards-incompatible code.
 
-# Continuous Documentation
+## Continuous Documentation
 
-The Read the Docs service is used to preview documentation changes made in pull requests. This service uses a configuration file, ```.readthedocs.yaml```.
+[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`.
 
-# Making a Release
 
-To automate releases, we employ a script called ```publish.sh``` in the scripts folder. This script utilizes Poetry for managing and publishing the package to PyPI.
 

From 0fe3a16b122aeb9876107cac7734f2d34dd32440 Mon Sep 17 00:00:00 2001
From: Sherwin-14 <varghesesheriwn@gmail.com>
Date: Tue, 25 Jun 2024 13:48:03 +0530
Subject: [PATCH 09/11] Added to the work with us section

---
 docs/{ => contributing}/maintainers-guide.md | 4 ++--
 mkdocs.yml                                   | 2 ++
 2 files changed, 4 insertions(+), 2 deletions(-)
 rename docs/{ => contributing}/maintainers-guide.md (91%)

diff --git a/docs/maintainers-guide.md b/docs/contributing/maintainers-guide.md
similarity index 91%
rename from docs/maintainers-guide.md
rename to docs/contributing/maintainers-guide.md
index 123a6f6c..1ac2fc79 100644
--- a/docs/maintainers-guide.md
+++ b/docs/contributing/maintainers-guide.md
@@ -35,7 +35,7 @@ To get permissions, please start by participating on GitHub by answering questio
 
     3d. Merge contributions promptly.
 
-4. As a maintainer, you will be releasing different versions. More on this in [here](./contributing/releasing.md).
+4. As a maintainer, you will be releasing different versions. More on this in [here](./releasing.md).
 
 ## Branches
 
@@ -44,7 +44,7 @@ main: This is the main branch, which is consistently tested and prepared for rel
 
 ## Continuous Integration & Delivery
 
-The GitHub Actions CI services handle the project's building, testing, and management across Linux, macOS, and Windows platforms. The CI files can be found in the `./.github/workflows/` which manage the continuous integration process, the dependencies are listed out in the `./ci/environment-dev.yml` file. Here we briefly summarize the functions of the files in the `./ci/` directory.
+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.
 
diff --git a/mkdocs.yml b/mkdocs.yml
index 579e0787..14317502 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -60,6 +60,8 @@ nav:
       - "Development": "contributing/development.md"
       - "Releasing": "contributing/releasing.md"
       - "Our meet-ups": "contributing/our-meet-ups.md"
+      
+      - "Maintainers Guide": "contributing/maintainers-guide.md"
   - "Resources": "resources.md"
   - USER GUIDE:
       - "user_guide/index.md"

From 8b6bcc232e7529fce04a75037c1e192eca5513c4 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 1 Jul 2024 04:55:21 +0000
Subject: [PATCH 10/11] Bump the pip-dependencies group with 9 updates

Bumps the pip-dependencies group with 9 updates:

| Package | From | To |
| --- | --- | --- |
| [numpy](https://github.com/numpy/numpy) | `1.26.4` | `2.0.0` |
| [dask](https://github.com/dask/dask) | `2024.5.2` | `2024.6.2` |
| [mypy](https://github.com/python/mypy) | `1.10.0` | `1.10.1` |
| [jupyterlab](https://github.com/jupyterlab/jupyterlab) | `4.2.2` | `4.2.3` |
| [responses](https://github.com/getsentry/responses) | `0.25.2` | `0.25.3` |
| [ruff](https://github.com/astral-sh/ruff) | `0.4.8` | `0.5.0` |
| [types-setuptools](https://github.com/python/typeshed) | `70.0.0.20240524` | `70.1.0.20240627` |
| [xarray](https://github.com/pydata/xarray) | `2024.5.0` | `2024.6.0` |
| [bump-my-version](https://github.com/callowayproject/bump-my-version) | `0.22.0` | `0.24.1` |


Updates `numpy` from 1.26.4 to 2.0.0
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](https://github.com/numpy/numpy/compare/v1.26.4...v2.0.0)

Updates `dask` from 2024.5.2 to 2024.6.2
- [Release notes](https://github.com/dask/dask/releases)
- [Changelog](https://github.com/dask/dask/blob/main/docs/release-procedure.md)
- [Commits](https://github.com/dask/dask/compare/2024.5.2...2024.6.2)

Updates `mypy` from 1.10.0 to 1.10.1
- [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md)
- [Commits](https://github.com/python/mypy/compare/v1.10.0...v1.10.1)

Updates `jupyterlab` from 4.2.2 to 4.2.3
- [Release notes](https://github.com/jupyterlab/jupyterlab/releases)
- [Changelog](https://github.com/jupyterlab/jupyterlab/blob/@jupyterlab/lsp@4.2.3/CHANGELOG.md)
- [Commits](https://github.com/jupyterlab/jupyterlab/compare/@jupyterlab/lsp@4.2.2...@jupyterlab/lsp@4.2.3)

Updates `responses` from 0.25.2 to 0.25.3
- [Release notes](https://github.com/getsentry/responses/releases)
- [Changelog](https://github.com/getsentry/responses/blob/master/CHANGES)
- [Commits](https://github.com/getsentry/responses/compare/0.25.2...0.25.3)

Updates `ruff` from 0.4.8 to 0.5.0
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](https://github.com/astral-sh/ruff/compare/v0.4.8...0.5.0)

Updates `types-setuptools` from 70.0.0.20240524 to 70.1.0.20240627
- [Commits](https://github.com/python/typeshed/commits)

Updates `xarray` from 2024.5.0 to 2024.6.0
- [Release notes](https://github.com/pydata/xarray/releases)
- [Changelog](https://github.com/pydata/xarray/blob/main/HOW_TO_RELEASE.md)
- [Commits](https://github.com/pydata/xarray/compare/v2024.05.0...v2024.06.0)

Updates `bump-my-version` from 0.22.0 to 0.24.1
- [Release notes](https://github.com/callowayproject/bump-my-version/releases)
- [Changelog](https://github.com/callowayproject/bump-my-version/blob/master/CHANGELOG.md)
- [Commits](https://github.com/callowayproject/bump-my-version/compare/0.22.0...0.24.1)

---
updated-dependencies:
- dependency-name: numpy
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: pip-dependencies
- dependency-name: dask
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip-dependencies
- dependency-name: mypy
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: pip-dependencies
- dependency-name: jupyterlab
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: pip-dependencies
- dependency-name: responses
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: pip-dependencies
- dependency-name: ruff
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: pip-dependencies
- dependency-name: types-setuptools
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: pip-dependencies
- dependency-name: xarray
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: pip-dependencies
- dependency-name: bump-my-version
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: pip-dependencies
...

Signed-off-by: dependabot[bot] <support@github.com>
---
 poetry.lock | 217 +++++++++++++++++++++++++++-------------------------
 1 file changed, 114 insertions(+), 103 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 4412b582..00d277a3 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "aiobotocore"
@@ -436,13 +436,13 @@ files = [
 
 [[package]]
 name = "bump-my-version"
-version = "0.22.0"
+version = "0.24.1"
 description = "Version bump your Python project"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "bump_my_version-0.22.0-py3-none-any.whl", hash = "sha256:57cd3ba68b8a84d774a9abd247a6c6323192151fa2b41f22eb6763cb17dfebee"},
-    {file = "bump_my_version-0.22.0.tar.gz", hash = "sha256:b96f180d6aa154e98e199753e83847587609bd897df9114248e6392324c89620"},
+    {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]
@@ -845,13 +845,13 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
 [[package]]
 name = "dask"
-version = "2024.5.2"
+version = "2024.6.2"
 description = "Parallel PyData with Task Scheduling"
 optional = true
 python-versions = ">=3.9"
 files = [
-    {file = "dask-2024.5.2-py3-none-any.whl", hash = "sha256:acc2cfe41d9e0151c216ac40396dbe34df13bc3d8c51dfece190349e4f2243af"},
-    {file = "dask-2024.5.2.tar.gz", hash = "sha256:5c9722c44d0195e78b6e54197aa3302e6fcaaac2310fd3014560bcb86253dcb3"},
+    {file = "dask-2024.6.2-py3-none-any.whl", hash = "sha256:81b80ee015b2e057b93bb2d1bf13a866136e762e2b24bf54b6b621e8b86b7708"},
+    {file = "dask-2024.6.2.tar.gz", hash = "sha256:d429d6b19e85fd1306ac37c188aaf99d03bbe69a6fe59d2b42882b2ac188686f"},
 ]
 
 [package.dependencies]
@@ -869,7 +869,7 @@ array = ["numpy (>=1.21)"]
 complete = ["dask[array,dataframe,diagnostics,distributed]", "lz4 (>=4.3.2)", "pyarrow (>=7.0)", "pyarrow-hotfix"]
 dataframe = ["dask-expr (>=1.1,<1.2)", "dask[array]", "pandas (>=1.3)"]
 diagnostics = ["bokeh (>=2.4.2)", "jinja2 (>=2.10.3)"]
-distributed = ["distributed (==2024.5.2)"]
+distributed = ["distributed (==2024.6.2)"]
 test = ["pandas[test]", "pre-commit", "pytest", "pytest-cov", "pytest-rerunfailures", "pytest-timeout", "pytest-xdist"]
 
 [[package]]
@@ -1784,13 +1784,13 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
 
 [[package]]
 name = "jupyterlab"
-version = "4.2.2"
+version = "4.2.3"
 description = "JupyterLab computational environment"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyterlab-4.2.2-py3-none-any.whl", hash = "sha256:59ee9b839f43308c3dfd55d72d1f1a299ed42a7f91f2d1afe9c12a783f9e525f"},
-    {file = "jupyterlab-4.2.2.tar.gz", hash = "sha256:a534b6a25719a92a40d514fb133a9fe8f0d9981b0bbce5d8a5fcaa33344a3038"},
+    {file = "jupyterlab-4.2.3-py3-none-any.whl", hash = "sha256:0b59d11808e84bb84105c73364edfa867dd475492429ab34ea388a52f2e2e596"},
+    {file = "jupyterlab-4.2.3.tar.gz", hash = "sha256:df6e46969ea51d66815167f23d92f105423b7f1f06fa604d4f44aeb018c82c7b"},
 ]
 
 [package.dependencies]
@@ -2757,38 +2757,38 @@ files = [
 
 [[package]]
 name = "mypy"
-version = "1.10.0"
+version = "1.10.1"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "mypy-1.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:da1cbf08fb3b851ab3b9523a884c232774008267b1f83371ace57f412fe308c2"},
-    {file = "mypy-1.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:12b6bfc1b1a66095ab413160a6e520e1dc076a28f3e22f7fb25ba3b000b4ef99"},
-    {file = "mypy-1.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e36fb078cce9904c7989b9693e41cb9711e0600139ce3970c6ef814b6ebc2b2"},
-    {file = "mypy-1.10.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:2b0695d605ddcd3eb2f736cd8b4e388288c21e7de85001e9f85df9187f2b50f9"},
-    {file = "mypy-1.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:cd777b780312ddb135bceb9bc8722a73ec95e042f911cc279e2ec3c667076051"},
-    {file = "mypy-1.10.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3be66771aa5c97602f382230165b856c231d1277c511c9a8dd058be4784472e1"},
-    {file = "mypy-1.10.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8b2cbaca148d0754a54d44121b5825ae71868c7592a53b7292eeb0f3fdae95ee"},
-    {file = "mypy-1.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ec404a7cbe9fc0e92cb0e67f55ce0c025014e26d33e54d9e506a0f2d07fe5de"},
-    {file = "mypy-1.10.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e22e1527dc3d4aa94311d246b59e47f6455b8729f4968765ac1eacf9a4760bc7"},
-    {file = "mypy-1.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:a87dbfa85971e8d59c9cc1fcf534efe664d8949e4c0b6b44e8ca548e746a8d53"},
-    {file = "mypy-1.10.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:a781f6ad4bab20eef8b65174a57e5203f4be627b46291f4589879bf4e257b97b"},
-    {file = "mypy-1.10.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b808e12113505b97d9023b0b5e0c0705a90571c6feefc6f215c1df9381256e30"},
-    {file = "mypy-1.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f55583b12156c399dce2df7d16f8a5095291354f1e839c252ec6c0611e86e2e"},
-    {file = "mypy-1.10.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4cf18f9d0efa1b16478c4c129eabec36148032575391095f73cae2e722fcf9d5"},
-    {file = "mypy-1.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:bc6ac273b23c6b82da3bb25f4136c4fd42665f17f2cd850771cb600bdd2ebeda"},
-    {file = "mypy-1.10.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9fd50226364cd2737351c79807775136b0abe084433b55b2e29181a4c3c878c0"},
-    {file = "mypy-1.10.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:f90cff89eea89273727d8783fef5d4a934be2fdca11b47def50cf5d311aff727"},
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 ]
 
 [[package]]
@@ -3845,6 +3854,7 @@ files = [
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@@ -4136,13 +4146,13 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "responses"
-version = "0.25.2"
+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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-    {file = "responses-0.25.2.tar.gz", hash = "sha256:77a61ad7e6016ed2ac00739b7efa5f35c42351d5b9b5d26bb1be87f197632487"},
+    {file = "responses-0.25.3-py3-none-any.whl", hash = "sha256:521efcbc82081ab8daa588e08f7e8a64ce79b91c39f6e62199b19159bea7dbcb"},
+    {file = "responses-0.25.3.tar.gz", hash = "sha256:617b9247abd9ae28313d57a75880422d55ec63c29d33d629697590a034358dba"},
 ]
 
 [package.dependencies]
@@ -4326,28 +4336,29 @@ files = [
 
 [[package]]
 name = "ruff"
-version = "0.4.8"
+version = "0.5.0"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "ruff-0.5.0-py3-none-musllinux_1_2_i686.whl", hash = "sha256:cd096e23c6a4f9c819525a437fa0a99d1c67a1b6bb30948d46f33afbc53596cf"},
+    {file = "ruff-0.5.0-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:46e193b36f2255729ad34a49c9a997d506e58f08555366b2108783b3064a0e1e"},
+    {file = "ruff-0.5.0-py3-none-win32.whl", hash = "sha256:49141d267100f5ceff541b4e06552e98527870eafa1acc9dec9139c9ec5af64c"},
+    {file = "ruff-0.5.0-py3-none-win_amd64.whl", hash = "sha256:e9118f60091047444c1b90952736ee7b1792910cab56e9b9a9ac20af94cd0440"},
+    {file = "ruff-0.5.0-py3-none-win_arm64.whl", hash = "sha256:ed5c4df5c1fb4518abcb57725b576659542bdbe93366f4f329e8f398c4b71178"},
+    {file = "ruff-0.5.0.tar.gz", hash = "sha256:eb641b5873492cf9bd45bc9c5ae5320648218e04386a5f0c264ad6ccce8226a1"},
 ]
 
 [[package]]
@@ -4637,13 +4648,13 @@ urllib3 = ">=2"
 
 [[package]]
 name = "types-setuptools"
-version = "70.0.0.20240524"
+version = "70.1.0.20240627"
 description = "Typing stubs for setuptools"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-setuptools-70.0.0.20240524.tar.gz", hash = "sha256:e31fee7b9d15ef53980526579ac6089b3ae51a005a281acf97178e90ac71aff6"},
-    {file = "types_setuptools-70.0.0.20240524-py3-none-any.whl", hash = "sha256:8f5379b9948682d72a9ab531fbe52932e84c4f38deda570255f9bae3edd766bc"},
+    {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]]
@@ -5055,13 +5066,13 @@ files = [
 
 [[package]]
 name = "xarray"
-version = "2024.5.0"
+version = "2024.6.0"
 description = "N-D labeled arrays and datasets in Python"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "xarray-2024.5.0-py3-none-any.whl", hash = "sha256:7ddedfe2294a0ab00f02d0fbdcb9c6300ec589f3cf436a9c7b7b577a12cd9bcf"},
-    {file = "xarray-2024.5.0.tar.gz", hash = "sha256:e0eb1cb265f265126795f388ed9591f3c752f2aca491f6c0576711fd15b708f2"},
+    {file = "xarray-2024.6.0-py3-none-any.whl", hash = "sha256:721a7394e8ec3d592b2d8ebe21eed074ac077dc1bb1bd777ce00e41700b4866c"},
+    {file = "xarray-2024.6.0.tar.gz", hash = "sha256:0b91e0bc4dc0296947947640fe31ec6e867ce258d2f7cbc10bedf4a6d68340c7"},
 ]
 
 [package.dependencies]

From 6f9990179225a55eb3cb2074b9fd103da19520e4 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 2 Jul 2024 01:25:12 +0000
Subject: [PATCH 11/11] chore: update pre-commit hooks
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.4.7 → v0.5.0](https://github.com/astral-sh/ruff-pre-commit/compare/v0.4.7...v0.5.0)
- [github.com/google/yamlfmt: v0.12.1 → v0.13.0](https://github.com/google/yamlfmt/compare/v0.12.1...v0.13.0)
---
 .pre-commit-config.yaml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 68202d5c..e596ad29 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -13,13 +13,13 @@ repos:
       - id: check-json
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.4.7
+    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]