diff --git a/poetry.lock b/poetry.lock
index 95892c4..8299b9e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,122 +1,120 @@
-# This file is automatically @generated by Poetry and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
 
 [[package]]
 name = "aiobotocore"
-version = "2.5.0"
+version = "2.5.4"
 description = "Async client for aws services using botocore and aiohttp"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "aiobotocore-2.5.4-py3-none-any.whl", hash = "sha256:4b32218728ca3d0be83835b604603a0cd6c329066e884bb78149334267f92440"},
+    {file = "aiobotocore-2.5.4.tar.gz", hash = "sha256:60341f19eda77e41e1ab11eef171b5a98b5dbdb90804f5334b6f90e560e31fae"},
 ]
 
 [package.dependencies]
-aiohttp = ">=3.3.1"
-aioitertools = ">=0.5.1"
-botocore = ">=1.29.76,<1.29.77"
-wrapt = ">=1.10.10"
+aiohttp = ">=3.3.1,<4.0.0"
+aioitertools = ">=0.5.1,<1.0.0"
+botocore = ">=1.31.17,<1.31.18"
+wrapt = ">=1.10.10,<2.0.0"
 
 [package.extras]
-awscli = ["awscli (>=1.27.76,<1.27.77)"]
-boto3 = ["boto3 (>=1.26.76,<1.26.77)"]
+awscli = ["awscli (>=1.29.17,<1.29.18)"]
+boto3 = ["boto3 (>=1.28.17,<1.28.18)"]
 
 [[package]]
 name = "aiohttp"
-version = "3.8.4"
+version = "3.8.5"
 description = "Async http client/server framework (asyncio)"
-category = "main"
 optional = false
 python-versions = ">=3.6"
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+    {file = "aiohttp-3.8.5.tar.gz", hash = "sha256:b9552ec52cc147dbf1944ac7ac98af7602e51ea2dcd076ed194ca3c0d1c7d0bc"},
 ]
 
 [package.dependencies]
@@ -135,7 +133,6 @@ speedups = ["Brotli", "aiodns", "cchardet"]
 name = "aioitertools"
 version = "0.11.0"
 description = "itertools and builtins for AsyncIO and mixed iterables"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -150,7 +147,6 @@ typing_extensions = {version = ">=4.0", markers = "python_version < \"3.10\""}
 name = "aiosignal"
 version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -161,32 +157,10 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
-[[package]]
-name = "anyio"
-version = "3.6.2"
-description = "High level compatibility layer for multiple asynchronous event loop implementations"
-category = "main"
-optional = false
-python-versions = ">=3.6.2"
-files = [
-    {file = "anyio-3.6.2-py3-none-any.whl", hash = "sha256:fbbe32bd270d2a2ef3ed1c5d45041250284e31fc0a4df4a5a6071842051a51e3"},
-    {file = "anyio-3.6.2.tar.gz", hash = "sha256:25ea0d673ae30af41a0c442f81cf3b38c7e79fdc7b60335a4c14e05eb0947421"},
-]
-
-[package.dependencies]
-idna = ">=2.8"
-sniffio = ">=1.1"
-
-[package.extras]
-doc = ["packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"]
-trio = ["trio (>=0.16,<0.22)"]
-
 [[package]]
 name = "asciitree"
 version = "0.3.3"
 description = "Draws ASCII trees."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -195,21 +169,19 @@ files = [
 
 [[package]]
 name = "async-timeout"
-version = "4.0.2"
+version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
-    {file = "async-timeout-4.0.2.tar.gz", hash = "sha256:2163e1640ddb52b7a8c80d0a67a08587e5d245cc9c553a74a847056bc2976b15"},
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+    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
+    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
 ]
 
 [[package]]
 name = "atomicwrites"
 version = "1.4.1"
 description = "Atomic file writes."
-category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -220,7 +192,6 @@ files = [
 name = "attrs"
 version = "23.1.0"
 description = "Classes Without Boilerplate"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -239,7 +210,6 @@ tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pyte
 name = "backoff"
 version = "1.11.1"
 description = "Function decoration for backoff and retry"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
@@ -249,14 +219,13 @@ files = [
 
 [[package]]
 name = "botocore"
-version = "1.29.76"
+version = "1.31.17"
 description = "Low-level, data-driven core of boto 3."
-category = "main"
 optional = false
 python-versions = ">= 3.7"
 files = [
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+    {file = "botocore-1.31.17-py3-none-any.whl", hash = "sha256:6ac34a1d34aa3750e78b77b8596617e2bab938964694d651939dba2cbde2c12b"},
+    {file = "botocore-1.31.17.tar.gz", hash = "sha256:396459065dba4339eb4da4ec8b4e6599728eb89b7caaceea199e26f7d824a41c"},
 ]
 
 [package.dependencies]
@@ -265,127 +234,123 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = ">=1.25.4,<1.27"
 
 [package.extras]
-crt = ["awscrt (==0.16.9)"]
+crt = ["awscrt (==0.16.26)"]
 
 [[package]]
 name = "certifi"
-version = "2022.12.7"
+version = "2023.7.22"
 description = "Python package for providing Mozilla's CA Bundle."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
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-    {file = "certifi-2022.12.7.tar.gz", hash = "sha256:35824b4c3a97115964b408844d64aa14db1cc518f6562e8d7261699d1350a9e3"},
+    {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
+    {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
 ]
 
 [[package]]
 name = "cfgv"
-version = "3.3.1"
+version = "3.4.0"
 description = "Validate configuration and produce human readable error messages."
-category = "dev"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.8"
 files = [
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+    {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
+    {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
 ]
 
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 name = "charset-normalizer"
-version = "3.1.0"
+version = "3.2.0"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
-category = "main"
 optional = false
 python-versions = ">=3.7.0"
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 [[package]]
 name = "click"
-version = "8.1.3"
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 description = "Composable command line interface toolkit"
-category = "main"
 optional = false
 python-versions = ">=3.7"
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 [package.dependencies]
@@ -395,7 +360,6 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 name = "cloudpickle"
 version = "2.2.1"
 description = "Extended pickling support for Python objects"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -407,7 +371,6 @@ files = [
 name = "colorama"
 version = "0.4.6"
 description = "Cross-platform colored terminal text."
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
@@ -417,63 +380,63 @@ files = [
 
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 ]
 
 [package.dependencies]
@@ -484,72 +447,69 @@ toml = ["tomli"]
 
 [[package]]
 name = "dask"
-version = "2023.4.0"
+version = "2023.8.1"
 description = "Parallel PyData with Task Scheduling"
-category = "main"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
-click = ">=7.0"
-cloudpickle = ">=1.1.1"
-fsspec = ">=0.6.0"
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+cloudpickle = ">=1.5.0"
+fsspec = ">=2021.09.0"
 importlib-metadata = ">=4.13.0"
 packaging = ">=20.0"
 partd = ">=1.2.0"
 pyyaml = ">=5.3.1"
-toolz = ">=0.8.2"
+toolz = ">=0.10.0"
 
 [package.extras]
 array = ["numpy (>=1.21)"]
 complete = ["dask[array,dataframe,diagnostics,distributed]", "lz4 (>=4.3.2)", "pyarrow (>=7.0)"]
-dataframe = ["numpy (>=1.21)", "pandas (>=1.3)"]
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 diagnostics = ["bokeh (>=2.4.2)", "jinja2 (>=2.10.3)"]
-distributed = ["distributed (==2023.4.0)"]
-test = ["pandas[test]", "pre-commit", "pytest", "pytest-rerunfailures", "pytest-xdist"]
+distributed = ["distributed (==2023.8.1)"]
+test = ["pandas[test]", "pre-commit", "pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist"]
 
 [[package]]
 name = "distlib"
-version = "0.3.6"
+version = "0.3.7"
 description = "Distribution utilities"
-category = "dev"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [[package]]
 name = "distributed"
-version = "2023.4.0"
+version = "2023.8.1"
 description = "Distributed scheduler for Dask"
-category = "main"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
 click = ">=8.0"
 cloudpickle = ">=1.5.0"
-dask = "2023.4.0"
+dask = "2023.8.1"
 jinja2 = ">=2.10.3"
 locket = ">=1.0.0"
 msgpack = ">=1.0.0"
 packaging = ">=20.0"
-psutil = ">=5.7.0"
+psutil = ">=5.7.2"
 pyyaml = ">=5.3.1"
 sortedcontainers = ">=2.0.5"
 tblib = ">=1.6.0"
 toolz = ">=0.10.0"
-tornado = ">=6.0.3"
+tornado = ">=6.0.4"
 urllib3 = ">=1.24.3"
 zict = ">=2.2.0"
 
@@ -557,7 +517,6 @@ zict = ">=2.2.0"
 name = "entrypoints"
 version = "0.4"
 description = "Discover and load entry points from installed packages."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -569,7 +528,6 @@ files = [
 name = "fasteners"
 version = "0.18"
 description = "A python package that provides useful locks"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -579,114 +537,98 @@ files = [
 
 [[package]]
 name = "filelock"
-version = "3.12.0"
+version = "3.12.2"
 description = "A platform independent file lock."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.extras]
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+docs = ["furo (>=2023.5.20)", "sphinx (>=7.0.1)", "sphinx-autodoc-typehints (>=1.23,!=1.23.4)"]
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 name = "frozenlist"
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+version = "1.4.0"
 description = "A list-like structure which implements collections.abc.MutableSequence"
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 optional = false
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 [[package]]
 name = "fsspec"
-version = "2023.4.0"
+version = "2023.6.0"
 description = "File-system specification"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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@@ -717,7 +659,6 @@ tqdm = ["tqdm"]
 name = "ghp-import"
 version = "2.1.0"
 description = "Copy your docs directly to the gh-pages branch."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -731,153 +672,48 @@ python-dateutil = ">=2.8.1"
 [package.extras]
 dev = ["flake8", "markdown", "twine", "wheel"]
 
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-[package.dependencies]
-hpack = ">=4.0,<5"
-hyperframe = ">=6.0,<7"
-
 [[package]]
 name = "h5py"
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 description = "Read and write HDF5 files from Python"
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-
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-
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-version = "0.23.3"
-description = "The next generation HTTP client."
-category = "main"
-optional = false
-python-versions = ">=3.7"
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 [package.dependencies]
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-httpcore = ">=0.15.0,<0.17.0"
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-sniffio = "*"
-
-[package.extras]
-brotli = ["brotli", "brotlicffi"]
-cli = ["click (>=8.0.0,<9.0.0)", "pygments (>=2.0.0,<3.0.0)", "rich (>=10,<13)"]
-http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (>=1.0.0,<2.0.0)"]
-
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-version = "6.0.1"
-description = "HTTP/2 framing layer for Python"
-category = "main"
-optional = false
-python-versions = ">=3.6.1"
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+numpy = ">=1.17.3"
 
 [[package]]
 name = "identify"
-version = "2.5.22"
+version = "2.5.27"
 description = "File identification library for Python"
-category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -887,7 +723,6 @@ license = ["ukkonen"]
 name = "idna"
 version = "3.4"
 description = "Internationalized Domain Names in Applications (IDNA)"
-category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
@@ -899,7 +734,6 @@ files = [
 name = "importlib-metadata"
 version = "4.13.0"
 description = "Read metadata from Python packages"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -919,7 +753,6 @@ testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packag
 name = "iniconfig"
 version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -931,7 +764,6 @@ files = [
 name = "jinja2"
 version = "3.1.2"
 description = "A very fast and expressive template engine."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -949,7 +781,6 @@ i18n = ["Babel (>=2.7)"]
 name = "jmespath"
 version = "1.0.1"
 description = "JSON Matching Expressions"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -959,14 +790,13 @@ files = [
 
 [[package]]
 name = "linkify-it-py"
-version = "2.0.0"
+version = "2.0.2"
 description = "Links recognition library with FULL unicode support."
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -974,7 +804,7 @@ uc-micro-py = "*"
 
 [package.extras]
 benchmark = ["pytest", "pytest-benchmark"]
-dev = ["black", "flake8", "isort", "pre-commit"]
+dev = ["black", "flake8", "isort", "pre-commit", "pyproject-flake8"]
 doc = ["myst-parser", "sphinx", "sphinx-book-theme"]
 test = ["coverage", "pytest", "pytest-cov"]
 
@@ -982,7 +812,6 @@ test = ["coverage", "pytest", "pytest-cov"]
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 description = "File-based locks for Python on Linux and Windows"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -992,27 +821,26 @@ files = [
 
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 name = "markdown"
-version = "3.3.7"
-description = "Python implementation of Markdown."
-category = "main"
+version = "3.4.4"
+description = "Python implementation of John Gruber's Markdown."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
 importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
 
 [package.extras]
+docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.0)", "mkdocs-nature (>=0.4)"]
 testing = ["coverage", "pyyaml"]
 
 [[package]]
 name = "markdown-it-py"
 version = "2.2.0"
 description = "Python port of markdown-it. Markdown parsing, done right!"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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-version = "2.1.2"
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 [package.dependencies]
-markdown-it-py = ">=1.0.0,<3.0.0"
+markdown-it-py = ">=1.0.0,<4.0.0"
 
 [package.extras]
 code-style = ["pre-commit"]
-rtd = ["attrs", "myst-parser (>=0.16.1,<0.17.0)", "sphinx-book-theme (>=0.1.0,<0.2.0)"]
+rtd = ["myst-parser", "sphinx-book-theme"]
 testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
 
 [[package]]
 name = "mdurl"
 version = "0.1.2"
 description = "Markdown URL utilities"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1131,7 +956,6 @@ files = [
 name = "mergedeep"
 version = "1.3.4"
 description = "A deep merge function for 🐍."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -1141,14 +965,13 @@ files = [
 
 [[package]]
 name = "mkdocs"
-version = "1.4.2"
+version = "1.5.2"
 description = "Project documentation with Markdown."
-category = "main"
 optional = false
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 files = [
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 importlib-metadata = {version = ">=4.3", markers = "python_version < \"3.10\""}
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 packaging = ">=20.5"
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+platformdirs = ">=2.2.0"
 pyyaml = ">=5.1"
 pyyaml-env-tag = ">=0.1"
 watchdog = ">=2.0"
 
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 version = "1.0.2"
 description = "A mkdocs plugin that lets you exclude files or trees."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
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 name = "mrcfile"
 version = "1.4.3"
 description = "MRC file I/O library"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
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 version = "1.0.5"
 description = "MessagePack serializer"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
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 version = "6.0.4"
 description = "multidict implementation"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -1557,7 +1369,7 @@ pytz = ">=2020.1"
 tzdata = ">=2022.1"
 
 [package.extras]
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 compression = ["brotlipy (>=0.7.0)", "python-snappy (>=0.6.0)", "zstandard (>=0.15.2)"]
@@ -1576,14 +1388,13 @@ plot = ["matplotlib (>=3.6.1)"]
 postgresql = ["SQLAlchemy (>=1.4.16)", "psycopg2 (>=2.8.6)"]
 spss = ["pyreadstat (>=1.1.2)"]
 sql-other = ["SQLAlchemy (>=1.4.16)"]
-test = ["hypothesis (>=6.34.2)", "pytest (>=7.0.0)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
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 xml = ["lxml (>=4.6.3)"]
 
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 name = "partd"
 version = "1.4.0"
 description = "Appendable key-value storage"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1598,11 +1409,21 @@ toolz = "*"
 [package.extras]
 complete = ["blosc", "numpy (>=1.9.0)", "pandas (>=0.19.0)", "pyzmq"]
 
+[[package]]
+name = "pathspec"
+version = "0.11.2"
+description = "Utility library for gitignore style pattern matching of file paths."
+optional = false
+python-versions = ">=3.7"
+files = [
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 [[package]]
 name = "pint"
 version = "0.20.1"
 description = "Physical quantities module"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -1621,30 +1442,28 @@ xarray = ["xarray"]
 
 [[package]]
 name = "platformdirs"
-version = "3.2.0"
+version = "3.10.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
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 [package.extras]
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 [[package]]
 name = "pluggy"
-version = "1.0.0"
+version = "1.2.0"
 description = "plugin and hook calling mechanisms for python"
-category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
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 [package.extras]
@@ -1655,7 +1474,6 @@ testing = ["pytest", "pytest-benchmark"]
 name = "pre-commit"
 version = "2.21.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1674,7 +1492,6 @@ virtualenv = ">=20.10.0"
 name = "psutil"
 version = "5.9.5"
 description = "Cross-platform lib for process and system monitoring in Python."
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -1701,7 +1518,6 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
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 version = "1.11.0"
 description = "library with cross-python path, ini-parsing, io, code, log facilities"
-category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
@@ -1711,48 +1527,47 @@ files = [
 
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 python-versions = ">=3.7"
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 description = "pytest: simple powerful testing with Python"
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 python-versions = ">=3.6"
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@@ -1821,7 +1648,6 @@ testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xm
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 version = "3.0.0"
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 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
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 version = "2023.3"
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 optional = false
 python-versions = "*"
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 ]
 
 [[package]]
 name = "pyyaml-env-tag"
 version = "0.1"
 description = "A custom YAML tag for referencing environment variables in YAML files. "
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -1932,7 +1754,6 @@ pyyaml = "*"
 name = "requests"
 version = "2.31.0"
 description = "Python HTTP for Humans."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1950,38 +1771,19 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
-[[package]]
-name = "rfc3986"
-version = "1.5.0"
-description = "Validating URI References per RFC 3986"
-category = "main"
-optional = false
-python-versions = "*"
-files = [
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-]
-
-[package.dependencies]
-idna = {version = "*", optional = true, markers = "extra == \"idna2008\""}
-
-[package.extras]
-idna2008 = ["idna"]
-
 [[package]]
 name = "rich"
-version = "13.3.4"
+version = "13.5.2"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
-category = "main"
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 ]
 
 [package.dependencies]
-markdown-it-py = ">=2.2.0,<3.0.0"
+markdown-it-py = ">=2.2.0"
 pygments = ">=2.13.0,<3.0.0"
 
 [package.extras]
@@ -1989,20 +1791,19 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
 [[package]]
 name = "s3fs"
-version = "2023.4.0"
+version = "2023.6.0"
 description = "Convenient Filesystem interface over S3"
-category = "main"
 optional = false
 python-versions = ">= 3.8"
 files = [
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 ]
 
 [package.dependencies]
 aiobotocore = ">=2.5.0,<2.6.0"
 aiohttp = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1"
-fsspec = "2023.4.0"
+fsspec = "2023.6.0"
 
 [package.extras]
 awscli = ["aiobotocore[awscli] (>=2.5.0,<2.6.0)"]
@@ -2012,7 +1813,6 @@ boto3 = ["aiobotocore[boto3] (>=2.5.0,<2.6.0)"]
 name = "scipy"
 version = "1.9.3"
 description = "Fundamental algorithms for scientific computing in Python"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -2049,26 +1849,24 @@ test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "sciki
 
 [[package]]
 name = "setuptools"
-version = "67.7.2"
+version = "68.1.2"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
-category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
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+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5,<=7.1.2)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
 
 [[package]]
 name = "six"
 version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 files = [
@@ -2076,23 +1874,10 @@ files = [
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 
-[[package]]
-name = "sniffio"
-version = "1.3.0"
-description = "Sniff out which async library your code is running under"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
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-
 [[package]]
 name = "sortedcontainers"
 version = "2.4.0"
 description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -2102,21 +1887,19 @@ files = [
 
 [[package]]
 name = "tblib"
-version = "1.7.0"
+version = "2.0.0"
 description = "Traceback serialization library."
-category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.7"
 files = [
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+    {file = "tblib-2.0.0-py3-none-any.whl", hash = "sha256:9100bfa016b047d5b980d66e7efed952fbd20bd85b56110aaf473cb97d18709a"},
+    {file = "tblib-2.0.0.tar.gz", hash = "sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7"},
 ]
 
 [[package]]
 name = "textual"
 version = "0.16.0"
 description = "Modern Text User Interface framework"
-category = "main"
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
@@ -2136,27 +1919,25 @@ dev = ["aiohttp (>=3.8.1)", "click (>=8.1.2)", "msgpack (>=1.0.3)"]
 
 [[package]]
 name = "tifffile"
-version = "2023.4.12"
+version = "2023.8.12"
 description = "Read and write TIFF files"
-category = "main"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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+    {file = "tifffile-2023.8.12-py3-none-any.whl", hash = "sha256:d1ef06461a947a6800ba6121b330b54a57fb9cbf7e5bc0adab8307081297d66b"},
+    {file = "tifffile-2023.8.12.tar.gz", hash = "sha256:824956b6d974b9d346aae59932bea862a2ad18fcc2b1a820b6941b7f6ddb2bca"},
 ]
 
 [package.dependencies]
 numpy = "*"
 
 [package.extras]
-all = ["defusedxml", "fsspec", "imagecodecs (>=2023.1.23)", "lxml", "matplotlib", "zarr"]
+all = ["defusedxml", "fsspec", "imagecodecs (>=2023.8.12)", "lxml", "matplotlib", "zarr"]
 
 [[package]]
 name = "toml"
 version = "0.10.2"
 description = "Python Library for Tom's Obvious, Minimal Language"
-category = "dev"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 files = [
@@ -2168,7 +1949,6 @@ files = [
 name = "tomli"
 version = "2.0.1"
 description = "A lil' TOML parser"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2180,7 +1960,6 @@ files = [
 name = "toolz"
 version = "0.12.0"
 description = "List processing tools and functional utilities"
-category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
@@ -2190,42 +1969,39 @@ files = [
 
 [[package]]
 name = "tornado"
-version = "6.3.2"
+version = "6.3.3"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
-category = "main"
 optional = false
 python-versions = ">= 3.8"
 files = [
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+    {file = "tornado-6.3.3-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:71a8db65160a3c55d61839b7302a9a400074c9c753040455494e2af74e2501f2"},
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+    {file = "tornado-6.3.3-cp38-abi3-win_amd64.whl", hash = "sha256:22d3c2fa10b5793da13c807e6fc38ff49a4f6e1e3868b0a6f4164768bb8e20f5"},
+    {file = "tornado-6.3.3.tar.gz", hash = "sha256:e7d8db41c0181c80d76c982aacc442c0783a2c54d6400fe028954201a2e032fe"},
 ]
 
 [[package]]
 name = "typing-extensions"
-version = "4.5.0"
+version = "4.7.1"
 description = "Backported and Experimental Type Hints for Python 3.7+"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "typing_extensions-4.5.0-py3-none-any.whl", hash = "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4"},
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+    {file = "typing_extensions-4.7.1-py3-none-any.whl", hash = "sha256:440d5dd3af93b060174bf433bccd69b0babc3b15b1a8dca43789fd7f61514b36"},
+    {file = "typing_extensions-4.7.1.tar.gz", hash = "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"},
 ]
 
 [[package]]
 name = "tzdata"
 version = "2023.3"
 description = "Provider of IANA time zone data"
-category = "main"
 optional = false
 python-versions = ">=2"
 files = [
@@ -2235,14 +2011,13 @@ files = [
 
 [[package]]
 name = "uc-micro-py"
-version = "1.0.1"
+version = "1.0.2"
 description = "Micro subset of unicode data files for linkify-it-py projects."
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
-    {file = "uc-micro-py-1.0.1.tar.gz", hash = "sha256:b7cdf4ea79433043ddfe2c82210208f26f7962c0cfbe3bacb05ee879a7fdb596"},
-    {file = "uc_micro_py-1.0.1-py3-none-any.whl", hash = "sha256:316cfb8b6862a0f1d03540f0ae6e7b033ff1fa0ddbe60c12cbe0d4cec846a69f"},
+    {file = "uc-micro-py-1.0.2.tar.gz", hash = "sha256:30ae2ac9c49f39ac6dce743bd187fcd2b574b16ca095fa74cd9396795c954c54"},
+    {file = "uc_micro_py-1.0.2-py3-none-any.whl", hash = "sha256:8c9110c309db9d9e87302e2f4ad2c3152770930d88ab385cd544e7a7e75f3de0"},
 ]
 
 [package.extras]
@@ -2250,14 +2025,13 @@ test = ["coverage", "pytest", "pytest-cov"]
 
 [[package]]
 name = "urllib3"
-version = "1.26.15"
+version = "1.26.16"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 files = [
-    {file = "urllib3-1.26.15-py2.py3-none-any.whl", hash = "sha256:aa751d169e23c7479ce47a0cb0da579e3ede798f994f5816a74e4f4500dcea42"},
-    {file = "urllib3-1.26.15.tar.gz", hash = "sha256:8a388717b9476f934a21484e8c8e61875ab60644d29b9b39e11e4b9dc1c6b305"},
+    {file = "urllib3-1.26.16-py2.py3-none-any.whl", hash = "sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f"},
+    {file = "urllib3-1.26.16.tar.gz", hash = "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"},
 ]
 
 [package.extras]
@@ -2267,30 +2041,28 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.22.0"
+version = "20.24.3"
 description = "Virtual Python Environment builder"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "virtualenv-20.22.0-py3-none-any.whl", hash = "sha256:48fd3b907b5149c5aab7c23d9790bea4cac6bc6b150af8635febc4cfeab1275a"},
-    {file = "virtualenv-20.22.0.tar.gz", hash = "sha256:278753c47aaef1a0f14e6db8a4c5e1e040e90aea654d0fc1dc7e0d8a42616cc3"},
+    {file = "virtualenv-20.24.3-py3-none-any.whl", hash = "sha256:95a6e9398b4967fbcb5fef2acec5efaf9aa4972049d9ae41f95e0972a683fd02"},
+    {file = "virtualenv-20.24.3.tar.gz", hash = "sha256:e5c3b4ce817b0b328af041506a2a299418c98747c4b1e68cb7527e74ced23efc"},
 ]
 
 [package.dependencies]
-distlib = ">=0.3.6,<1"
-filelock = ">=3.11,<4"
-platformdirs = ">=3.2,<4"
+distlib = ">=0.3.7,<1"
+filelock = ">=3.12.2,<4"
+platformdirs = ">=3.9.1,<4"
 
 [package.extras]
-docs = ["furo (>=2023.3.27)", "proselint (>=0.13)", "sphinx (>=6.1.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=22.12)"]
-test = ["covdefaults (>=2.3)", "coverage (>=7.2.3)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.3.1)", "pytest-env (>=0.8.1)", "pytest-freezegun (>=0.4.2)", "pytest-mock (>=3.10)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)"]
+docs = ["furo (>=2023.5.20)", "proselint (>=0.13)", "sphinx (>=7.0.1)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
 
 [[package]]
 name = "watchdog"
 version = "3.0.0"
 description = "Filesystem events monitoring"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2330,7 +2102,6 @@ watchmedo = ["PyYAML (>=3.10)"]
 name = "wrapt"
 version = "1.15.0"
 description = "Module for decorators, wrappers and monkey patching."
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 files = [
@@ -2413,14 +2184,13 @@ files = [
 
 [[package]]
 name = "xarray"
-version = "2023.4.2"
+version = "2023.8.0"
 description = "N-D labeled arrays and datasets in Python"
-category = "main"
 optional = false
 python-versions = ">=3.9"
 files = [
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-    {file = "xarray-2023.4.2.tar.gz", hash = "sha256:958ec588220352343b910cbc05e54e7ab54d4e8c1c3a7783d6bfe7549d0bd0d2"},
+    {file = "xarray-2023.8.0-py3-none-any.whl", hash = "sha256:eb42b56aea2c7d5db2a7d0c33fb005b78eb5c4421eb747f2ced138c70b5c204e"},
+    {file = "xarray-2023.8.0.tar.gz", hash = "sha256:825c6d64202a731a4e49321edd1e9dfabf4be06802f1b8c8a3c00a3ebfc8cedf"},
 ]
 
 [package.dependencies]
@@ -2440,7 +2210,6 @@ viz = ["matplotlib", "nc-time-axis", "seaborn"]
 name = "xarray-datatree"
 version = "0.0.12"
 description = "Hierarchical tree-like data structures for xarray"
-category = "main"
 optional = false
 python-versions = ">=3.9"
 files = [
@@ -2455,7 +2224,6 @@ xarray = ">=2022.6.0"
 name = "xarray-multiscale"
 version = "2.1.0"
 description = ""
-category = "main"
 optional = false
 python-versions = ">=3.9,<4.0"
 files = [
@@ -2473,7 +2241,6 @@ xarray = ">=2022.03.0"
 name = "xarray-ome-ngff"
 version = "1.2.0"
 description = "xarray and ome-ngff"
-category = "main"
 optional = false
 python-versions = ">=3.9,<4.0"
 files = [
@@ -2489,86 +2256,85 @@ xarray = ">=2023.2.0,<2024.0.0"
 
 [[package]]
 name = "yarl"
-version = "1.9.1"
+version = "1.9.2"
 description = "Yet another URL library"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "yarl-1.9.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b03917871bf859a81ccb180c9a2e6c1e04d2f6a51d953e6a5cdd70c93d4e5a2a"},
+    {file = "yarl-1.9.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c1012fa63eb6c032f3ce5d2171c267992ae0c00b9e164efe4d73db818465fac3"},
+    {file = "yarl-1.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a74dcbfe780e62f4b5a062714576f16c2f3493a0394e555ab141bf0d746bb955"},
+    {file = "yarl-1.9.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8c56986609b057b4839968ba901944af91b8e92f1725d1a2d77cbac6972b9ed1"},
+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:2c315df3293cd521033533d242d15eab26583360b58f7ee5d9565f15fee1bef4"},
+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:b7232f8dfbd225d57340e441d8caf8652a6acd06b389ea2d3222b8bc89cbfca6"},
+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:53338749febd28935d55b41bf0bcc79d634881195a39f6b2f767870b72514caf"},
+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:066c163aec9d3d073dc9ffe5dd3ad05069bcb03fcaab8d221290ba99f9f69ee3"},
+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8288d7cd28f8119b07dd49b7230d6b4562f9b61ee9a4ab02221060d21136be80"},
+    {file = "yarl-1.9.2-cp39-cp39-win32.whl", hash = "sha256:b124e2a6d223b65ba8768d5706d103280914d61f5cae3afbc50fc3dfcc016623"},
+    {file = "yarl-1.9.2-cp39-cp39-win_amd64.whl", hash = "sha256:61016e7d582bc46a5378ffdd02cd0314fb8ba52f40f9cf4d9a5e7dbef88dee18"},
+    {file = "yarl-1.9.2.tar.gz", hash = "sha256:04ab9d4b9f587c06d801c2abfe9317b77cdf996c65a90d5e84ecc45010823571"},
 ]
 
 [package.dependencies]
@@ -2577,30 +2343,29 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zarr"
-version = "2.14.2"
+version = "2.16.1"
 description = "An implementation of chunked, compressed, N-dimensional arrays for Python"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zarr-2.14.2-py3-none-any.whl", hash = "sha256:feb72d6ccc43c447661861020dbf2e685a8367e80d890b6f5905954400394ed2"},
-    {file = "zarr-2.14.2.tar.gz", hash = "sha256:68ec59b8ebdfc4fee5e32bd6c0ce273f72f7d4ed017454b45327c673c60907bc"},
+    {file = "zarr-2.16.1-py3-none-any.whl", hash = "sha256:de4882433ccb5b42cc1ec9872b95e64ca3a13581424666b28ed265ad76c7056f"},
+    {file = "zarr-2.16.1.tar.gz", hash = "sha256:4276cf4b4a653431042cd53ff2282bc4d292a6842411e88529964504fb073286"},
 ]
 
 [package.dependencies]
 asciitree = "*"
 fasteners = "*"
 numcodecs = ">=0.10.0"
-numpy = ">=1.20"
+numpy = ">=1.20,<1.21.0 || >1.21.0"
 
 [package.extras]
+docs = ["numcodecs[msgpack]", "numpydoc", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx-issues", "sphinx-rtd-theme"]
 jupyter = ["ipytree (>=0.2.2)", "ipywidgets (>=8.0.0)", "notebook"]
 
 [[package]]
 name = "zict"
 version = "3.0.0"
 description = "Mutable mapping tools"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -2610,21 +2375,20 @@ files = [
 
 [[package]]
 name = "zipp"
-version = "3.15.0"
+version = "3.16.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
-    {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
+    {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"},
+    {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+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-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "61d553d7954e8589dc0150f8dff3014ee396000c3785bb6521edaf9eae701092"
+content-hash = "ff5a2e973d9eb2ead8f1a31a014be9fe4e2ede679675d5a5abc04024d351ef95"
diff --git a/pyproject.toml b/pyproject.toml
index e9ad210..bf5e3ce 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -26,8 +26,8 @@ click = "^8.1.3"
 dask = "^2023.3.2"
 textual = "^0.16.0"
 aiohttp = "^3.8.4"
-httpx = {extras = ["http2"], version = "^0.23.3"}
 xarray-datatree = "^0.0.12"
+pydantic-zarr = "^0.5.0"
 
 
 [tool.poetry.group.dev.dependencies]
diff --git a/src/fibsem_tools/io/multiscale.py b/src/fibsem_tools/io/multiscale.py
index f19de79..8dbf79d 100644
--- a/src/fibsem_tools/io/multiscale.py
+++ b/src/fibsem_tools/io/multiscale.py
@@ -1,20 +1,21 @@
 from __future__ import annotations
-from typing import Any, Dict, Literal, Optional, Sequence, Tuple, Union, List
+from typing import Any, Literal, Optional, Sequence, Tuple, Union, List
 
 from xarray import DataArray
 
 import zarr
-from fibsem_tools.io.core import AccessMode, create_group
-from fibsem_tools.metadata.cosem import COSEMGroupMetadataV1, COSEMGroupMetadataV2
-from fibsem_tools.metadata.neuroglancer import NeuroglancerN5GroupMetadata
-from fibsem_tools.metadata.transform import STTransform
-from zarr.errors import ContainsGroupError
+from fibsem_tools.metadata.cosem import (
+    CosemMultiscaleGroupV1,
+    CosemMultiscaleGroupV2,
+)
+from fibsem_tools.metadata.neuroglancer import (
+    NeuroglancerN5Group,
+)
 from numcodecs.abc import Codec
 from xarray_ome_ngff.registry import get_adapters
+from pydantic_zarr import GroupSpec, ArraySpec
 
 
-from fibsem_tools.io.util import Attrs, JSON
-
 NGFF_DEFAULT_VERSION = "0.4"
 multiscale_metadata_types = ["neuroglancer", "cellmap", "cosem", "ome-ngff"]
 
@@ -33,7 +34,8 @@ def _normalize_chunks(
             if all_ints:
                 result = (chunks,) * len(arrays)
             else:
-                raise ValueError(f"All values in chunks must be ints. Got {chunks}")
+                msg = f"All values in chunks must be ints. Got {chunks}"
+                raise ValueError(msg)
         except TypeError as e:
             raise e
 
@@ -44,56 +46,56 @@ def _normalize_chunks(
     return result
 
 
-def multiscale_metadata(
+def multiscale_group(
     arrays: Sequence[DataArray],
     metadata_types: List[str],
-    array_paths: Optional[List[str]] = None,
-) -> Tuple[Dict[str, JSON], List[Dict[str, JSON]]]:
+    array_paths: Union[List[str], Literal["auto"]] = "auto",
+    name: Optional[str] = None,
+    **kwargs,
+) -> GroupSpec:
     """
     Generate multiscale metadata of the desired flavor from a list of DataArrays
 
     Returns
     -------
 
-    A tuple of dicts with string keys and JSON-serializable values
+    A GroupSpec instance representing the multiscale group
 
     """
+    if array_paths == "auto":
+        array_paths = [f"s{idx}" for idx in range(len(arrays))]
     group_attrs = {}
-    array_attrs: List[Dict[str, Any]] = [{}] * len(arrays)
+    array_attrs = {path: {} for path in array_paths}
+
     if any(f.startswith("ome-ngff") for f in metadata_types) and any(
         f.startswith("cosem") for f in metadata_types
     ):
-        raise ValueError(
-            f"""
+        msg = f"""
         You requested {metadata_types}, but ome-ngff metadata and cosem metadata are 
         incompatible. Use just ome-ngff metadata instead.
         """
-        )
+        raise ValueError(msg)
 
     for flavor in metadata_types:
         flave, _, version = flavor.partition("@")
+
         if flave == "neuroglancer":
-            g_meta = NeuroglancerN5GroupMetadata.fromDataArrays(arrays)
-            group_attrs.update(g_meta.dict())
+            g_spec = NeuroglancerN5Group.from_xarrays(arrays, **kwargs)
+            group_attrs.update(g_spec.attrs.dict())
         elif flave == "cosem":
             if version == "2":
-                g_meta = COSEMGroupMetadataV2.fromDataArrays(arrays, array_paths)
+                g_spec = CosemMultiscaleGroupV2.from_xarrays(
+                    arrays, name=name, **kwargs
+                )
             else:
-                g_meta = COSEMGroupMetadataV1.fromDataArrays(arrays, array_paths)
-            group_attrs.update(g_meta.dict())
-            for idx in range(len(array_attrs)):
-                array_attrs[idx] = {
-                    "transform": STTransform.fromDataArray(arrays[idx]).dict(),
-                    **array_attrs[idx],
-                }
-        elif flave == "ome-ngff":
-            if array_paths is None:
-                raise ValueError(
-                    f"""
-                You requested {flave}-type metadata, but array_paths was set to None.
-                array_paths must be set to a list of strings to use this metadata.
-                """
+                g_spec = CosemMultiscaleGroupV1.from_xarrays(
+                    arrays, name=name, **kwargs
                 )
+            group_attrs.update(g_spec.attrs.dict())
+
+            for key, value in g_spec.items.items():
+                array_attrs[key].update(**value.attrs.dict())
+        elif flave == "ome-ngff":
             if version == "":
                 version = NGFF_DEFAULT_VERSION
             adapters = get_adapters(version)
@@ -109,54 +111,12 @@ def multiscale_metadata(
                 {multiscale_metadata_types}
                 """
             )
-    return group_attrs, array_attrs
-
+    members = {
+        path: ArraySpec.from_array(arr, attrs=array_attrs[path], **kwargs)
+        for arr, path in zip(arrays, array_paths)
+    }
 
-def multiscale_group(
-    url: str,
-    arrays: List[DataArray],
-    array_paths: List[str],
-    chunks: Tuple[Tuple[int, ...], ...] | Tuple[int, ...] | None,
-    metadata_types: List[str],
-    group_mode: AccessMode = "w-",
-    array_mode: AccessMode = "w-",
-    group_attrs: Attrs | None = None,
-    array_attrs: Sequence[Attrs] | None = None,
-    **kwargs: Any,
-) -> zarr.Group:
-
-    if array_attrs is None:
-        array_attrs = [{}] * len(arrays)
-    if group_attrs is None:
-        group_attrs = {}
-
-    mgroup_attrs, marray_attrs = multiscale_metadata(
-        arrays, metadata_types, array_paths=array_paths
-    )
-    _group_attrs = {**group_attrs, **mgroup_attrs}
-    _arr_attrs = [{**a, **m} for a, m in zip(array_attrs, marray_attrs)]
-
-    _chunks = _normalize_chunks(arrays, chunks)
-    try:
-        group = create_group(
-            url,
-            arrays,
-            array_paths=array_paths,
-            chunks=_chunks,
-            group_attrs=_group_attrs,
-            array_attrs=_arr_attrs,
-            group_mode=group_mode,
-            array_mode=array_mode,
-            **kwargs,
-        )
-        return group
-    except ContainsGroupError:
-        raise FileExistsError(
-            f"""
-            The resource at {url} resolves to an existing group. Use 'w' or 'a' 
-            access modes to enable writable / appendable access to this group.
-            """
-        )
+    return GroupSpec(attrs=group_attrs, members=members)
 
 
 def prepare_multiscale(
diff --git a/src/fibsem_tools/metadata/cosem.py b/src/fibsem_tools/metadata/cosem.py
index 94beeb0..0612488 100644
--- a/src/fibsem_tools/metadata/cosem.py
+++ b/src/fibsem_tools/metadata/cosem.py
@@ -1,8 +1,8 @@
-from typing import Optional, Sequence
+from typing import Iterable, Literal, Optional, Sequence, Union
 
 from pydantic import BaseModel
 from xarray import DataArray
-
+from pydantic_zarr import GroupSpec, ArraySpec
 from fibsem_tools.metadata.transform import STTransform
 
 
@@ -13,12 +13,12 @@ class ScaleMetaV1(BaseModel):
 
 class MultiscaleMetaV1(BaseModel):
     name: Optional[str]
-    datasets: Sequence[ScaleMetaV1]
+    datasets: list[ScaleMetaV1]
 
 
 class MultiscaleMetaV2(BaseModel):
     name: Optional[str]
-    datasets: Sequence[str]
+    datasets: list[str]
 
 
 class COSEMGroupMetadataV1(BaseModel):
@@ -26,13 +26,13 @@ class COSEMGroupMetadataV1(BaseModel):
     Multiscale metadata used by COSEM for multiscale datasets saved in N5/Zarr groups.
     """
 
-    multiscales: Sequence[MultiscaleMetaV1]
+    multiscales: list[MultiscaleMetaV1]
 
     @classmethod
-    def fromDataArrays(
+    def from_xarrays(
         cls,
         arrays: Sequence[DataArray],
-        paths: Sequence[str],
+        paths: Union[Sequence[str], Literal["auto"]],
         name: Optional[str] = None,
     ):
         """
@@ -46,9 +46,10 @@ def fromDataArrays(
             arrays are assumed to share the same `dims` attributes, albeit with varying
             `coords`.
 
-        paths : list or tuple of str or None, default=None
+        paths : Sequence of str or the string literal 'auto', default='auto'
             The name on the storage backend for each of the arrays in the multiscale
-            collection.
+            collection. If 'auto', then names will be automatically generated using the
+            format s0, s1, s2, etc
 
         name : str, optional
             The name for the multiresolution collection
@@ -60,13 +61,14 @@ def fromDataArrays(
         COSEMGroupMetadata
         """
 
+        if paths == "auto":
+            paths = [f"s{idx}" for idx in range(len(arrays))]
+
         multiscales = [
             MultiscaleMetaV1(
                 name=name,
                 datasets=[
-                    ScaleMetaV1(
-                        path=path, transform=STTransform.fromDataArray(array=arr)
-                    )
+                    ScaleMetaV1(path=path, transform=STTransform.from_xarray(array=arr))
                     for path, arr in zip(paths, arrays)
                 ],
             )
@@ -79,13 +81,13 @@ class COSEMGroupMetadataV2(BaseModel):
     Multiscale metadata used by COSEM for multiscale datasets saved in N5/Zarr groups.
     """
 
-    multiscales: Sequence[MultiscaleMetaV2]
+    multiscales: list[MultiscaleMetaV2]
 
     @classmethod
-    def fromDataArrays(
+    def from_xarrays(
         cls,
         arrays: Sequence[DataArray],
-        paths: Sequence[str],
+        paths: Union[Sequence[str], Literal["auto"]] = "auto",
         name: Optional[str] = None,
     ):
         """
@@ -111,6 +113,8 @@ def fromDataArrays(
 
         COSEMGroupMetadata
         """
+        if paths == "auto":
+            paths = [f"s{idx}" for idx in enumerate(arrays)]
 
         multiscales = [
             MultiscaleMetaV2(
@@ -119,3 +123,68 @@ def fromDataArrays(
             )
         ]
         return cls(name=name, multiscales=multiscales, paths=paths)
+
+
+class CosemArrayAttrs(BaseModel):
+    transform: STTransform
+
+
+class CosemMultiscaleArray(ArraySpec):
+    attrs: CosemArrayAttrs
+
+    @classmethod
+    def from_xarray(cls, array: DataArray, **kwargs):
+        attrs = CosemArrayAttrs(transform=STTransform.from_xarray(array))
+        return super().from_array(array, attrs=attrs, **kwargs)
+
+
+class CosemMultiscaleGroupV1(GroupSpec):
+    attrs: COSEMGroupMetadataV1
+    items: dict[str, CosemMultiscaleArray]
+
+    @classmethod
+    def from_xarrays(
+        cls,
+        arrays: Iterable[DataArray],
+        paths: Union[Sequence[str], Literal["auto"]] = "auto",
+        name: Optional[str] = None,
+        **kwargs,
+    ):
+
+        if paths == "auto":
+            paths = [f"s{idx}" for idx in range(len(arrays))]
+
+        attrs = COSEMGroupMetadataV1.from_xarrays(arrays, paths, name)
+
+        array_specs = {
+            k: CosemMultiscaleArray.from_xarray(arr, **kwargs)
+            for k, arr in zip(paths, arrays)
+        }
+
+        return cls(attrs=attrs, items=array_specs)
+
+
+class CosemMultiscaleGroupV2(GroupSpec):
+    attrs: COSEMGroupMetadataV2
+    items: dict[str, ArraySpec[CosemArrayAttrs]]
+
+    @classmethod
+    def from_xarrays(
+        cls,
+        arrays: Iterable[DataArray],
+        paths: Union[Sequence[str], Literal["auto"]] = "auto",
+        name: Optional[str] = None,
+        **kwargs,
+    ):
+
+        if paths == "auto":
+            paths = [f"s{idx}" for idx in range(len(arrays))]
+
+        attrs = COSEMGroupMetadataV2.from_xarrays(arrays, paths, name)
+
+        array_specs = {
+            k: CosemMultiscaleArray.from_xarray(arr, **kwargs)
+            for k, arr in zip(paths, arrays)
+        }
+
+        return cls(attrs=attrs, items=array_specs)
diff --git a/src/fibsem_tools/metadata/neuroglancer.py b/src/fibsem_tools/metadata/neuroglancer.py
index b81812f..2284e36 100644
--- a/src/fibsem_tools/metadata/neuroglancer.py
+++ b/src/fibsem_tools/metadata/neuroglancer.py
@@ -1,10 +1,10 @@
-from typing import List, Sequence
+from typing import Iterable, List, Sequence
 
 import numpy as np
-from pydantic import BaseModel, PositiveInt
+from pydantic import BaseModel, PositiveInt, ValidationError, validator
 from xarray import DataArray
-
-from .transform import STTransform
+from pydantic_zarr.core import GroupSpec, ArraySpec
+from fibsem_tools.metadata.transform import STTransform
 
 
 class PixelResolution(BaseModel):
@@ -32,11 +32,9 @@ class NeuroglancerN5GroupMetadata(BaseModel):
     pixelResolution: PixelResolution
 
     @classmethod
-    def fromDataArrays(
-        cls, arrays: Sequence[DataArray]
-    ) -> "NeuroglancerN5GroupMetadata":
+    def from_xarrays(cls, arrays: Sequence[DataArray]) -> "NeuroglancerN5GroupMetadata":
         """
-        Create neuroglancer-compatibled N5 metadata from a collection of DataArrays.
+        Create neuroglancer-compatible N5 metadata from a collection of DataArrays.
 
         Parameters
         ----------
@@ -52,7 +50,7 @@ def fromDataArrays(
         NeuroglancerN5GroupMetadata
         """
         transforms = [
-            STTransform.fromDataArray(array, reverse_axes=True) for array in arrays
+            STTransform.from_xarray(array, reverse_axes=True) for array in arrays
         ]
         pixelresolution = PixelResolution(
             dimensions=transforms[0].scale, unit=transforms[0].units[0]
@@ -67,3 +65,31 @@ def fromDataArrays(
             scales=scales,
             pixelResolution=pixelresolution,
         )
+
+
+class NeuroglancerN5Group(GroupSpec):
+    attrs: NeuroglancerN5GroupMetadata
+
+    @validator("members")
+    def validate_members(cls, v: dict[str, ArraySpec]):
+        # check that the names of the arrays are s0, s1, s2, etc
+        for key, spec in v.items():
+            assert key.startswith("s")
+            try:
+                int(key.split("s")[-1])
+            except ValueError as valerr:
+                raise ValidationError from valerr
+
+        assert len(set(a.dtype for a in v.values())) == 1
+        return v
+
+    @classmethod
+    def from_xarrays(
+        cls, arrays: Iterable[DataArray], chunks: tuple[int, ...], **kwargs
+    ) -> "NeuroglancerN5Group":
+        array_specs = {
+            f"s{idx}": ArraySpec.from_array(arr, chunks=chunks, **kwargs)
+            for idx, arr in enumerate(arrays)
+        }
+        attrs = NeuroglancerN5GroupMetadata.from_xarrays(arrays)
+        return cls(attrs=attrs, members=array_specs)
diff --git a/src/fibsem_tools/metadata/transform.py b/src/fibsem_tools/metadata/transform.py
index 88d1196..39d1776 100644
--- a/src/fibsem_tools/metadata/transform.py
+++ b/src/fibsem_tools/metadata/transform.py
@@ -58,9 +58,7 @@ def to_coords(self, shape: Tuple[int, ...]) -> List[DataArray]:
         ]
 
     @classmethod
-    def fromDataArray(
-        cls, array: DataArray, reverse_axes: bool = False
-    ) -> "STTransform":
+    def from_xarray(cls, array: DataArray, reverse_axes: bool = False) -> "STTransform":
         """
         Generate a spatial transform from a DataArray.
 
diff --git a/tests/test_metadata.py b/tests/test_metadata.py
index 648409a..d3787e2 100644
--- a/tests/test_metadata.py
+++ b/tests/test_metadata.py
@@ -4,11 +4,14 @@
 from fibsem_tools.io.xr import stt_from_array
 from fibsem_tools.metadata.cosem import (
     COSEMGroupMetadataV1,
+    CosemMultiscaleGroupV1,
+    CosemMultiscaleGroupV2,
     MultiscaleMetaV1,
     COSEMGroupMetadataV2,
     MultiscaleMetaV2,
 )
 from fibsem_tools.metadata.neuroglancer import (
+    NeuroglancerN5Group,
     NeuroglancerN5GroupMetadata,
     PixelResolution,
 )
@@ -24,7 +27,7 @@ def test_sttransform():
     ]
 
     data = DataArray(np.zeros((10, 10, 10)), coords=coords)
-    transform = STTransform.fromDataArray(data)
+    transform = STTransform.from_xarray(data)
     assert all(c.equals(t) for c, t in zip(coords, transform.to_coords(data.shape)))
     assert transform == STTransform(
         order="C",
@@ -34,7 +37,7 @@ def test_sttransform():
         scale=[1.0, 1.0, 10.0],
     )
 
-    transform = STTransform.fromDataArray(data, reverse_axes=True)
+    transform = STTransform.from_xarray(data, reverse_axes=True)
     assert transform == STTransform(
         order="F",
         axes=["x", "y", "z"],
@@ -58,7 +61,7 @@ def test_neuroglancer_metadata():
     for idx in range(3):
         multi.append(multi[-1].coarsen(**coarsen_kwargs).mean())
 
-    neuroglancer_metadata = NeuroglancerN5GroupMetadata.fromDataArrays(multi)
+    neuroglancer_metadata = NeuroglancerN5GroupMetadata.from_xarrays(multi)
 
     assert neuroglancer_metadata == NeuroglancerN5GroupMetadata(
         axes=["x", "y", "z"],
@@ -67,9 +70,13 @@ def test_neuroglancer_metadata():
         pixelResolution=PixelResolution(dimensions=[100.1, 1.0, 1.0], unit="km"),
     )
 
+    spec = NeuroglancerN5Group.from_xarrays(multi, chunks=(16, 16, 16))
+    assert spec.attrs == neuroglancer_metadata
+    assert tuple(spec.members.keys()) == ("s0", "s1", "s2", "s3")
+
 
 @pytest.mark.parametrize("version", ("v1", "v2"))
-def test_cosem_ome(version: Literal["v1", "v2"]):
+def test_cosem(version: Literal["v1", "v2"]):
 
     transform_base = {
         "axes": ["z", "y", "x"],
@@ -89,25 +96,31 @@ def test_cosem_ome(version: Literal["v1", "v2"]):
     coarsen_kwargs = {"z": 2, "y": 2, "x": 2, "boundary": "trim"}
     multi: List[DataArray] = [data.coarsen(**coarsen_kwargs).mean()]
     multi.append(multi[-1].coarsen(**coarsen_kwargs).mean())
-    paths = ["s0", "s1"]
+    paths = ("s0", "s1")
     if version == "v1":
 
-        g_meta = COSEMGroupMetadataV1.fromDataArrays(multi, paths=paths, name="data")
+        g_meta = COSEMGroupMetadataV1.from_xarrays(multi, paths=paths, name="data")
 
         assert g_meta == COSEMGroupMetadataV1(
             multiscales=[
                 MultiscaleMetaV1(
                     name="data",
                     datasets=[
-                        {"path": p, "transform": STTransform.fromDataArray(m)}
+                        {"path": p, "transform": STTransform.from_xarray(m)}
                         for p, m in zip(paths, multi)
                     ],
                 )
             ]
         )
+        spec = CosemMultiscaleGroupV1.from_xarrays(multi, name="data")
+        assert spec.attrs == g_meta
+        assert tuple(spec.items.keys()) == paths
 
     else:
-        g_meta = COSEMGroupMetadataV2.fromDataArrays(multi, paths=paths, name="data")
+        g_meta = COSEMGroupMetadataV2.from_xarrays(multi, paths=paths, name="data")
         assert g_meta == COSEMGroupMetadataV2(
             multiscales=[MultiscaleMetaV2(name="data", datasets=paths)]
         )
+        spec = CosemMultiscaleGroupV2.from_xarrays(multi, name="data")
+        assert spec.attrs == g_meta
+        assert tuple(spec.items.keys()) == paths
diff --git a/tests/test_multiscale.py b/tests/test_multiscale.py
index 8571707..badcaa3 100644
--- a/tests/test_multiscale.py
+++ b/tests/test_multiscale.py
@@ -5,10 +5,8 @@
 from fibsem_tools.io.core import access, read
 from fibsem_tools.io.dask import store_blocks
 from numcodecs import GZip
-from fibsem_tools.io.multiscale import (
-    multiscale_group,
-    multiscale_metadata,
-)
+from fibsem_tools.io.multiscale import multiscale_group
+import zarr
 
 
 @pytest.mark.parametrize(
@@ -17,6 +15,7 @@
 )
 def test_multiscale_storage(temp_zarr, metadata_types: Tuple[str, ...]):
     data = da.random.randint(0, 8, (16, 16, 16), chunks=(8, 8, 8), dtype="uint8")
+    store = zarr.NestedDirectoryStore(temp_zarr)
     coords = [
         DataArray(
             da.arange(data.shape[0]) + 10,
@@ -37,23 +36,21 @@ def test_multiscale_storage(temp_zarr, metadata_types: Tuple[str, ...]):
     multi = [DataArray(data, coords=coords)]
     multi.append(multi[0].coarsen({"x": 2, "y": 2, "z": 2}).mean().astype("uint8"))
     array_paths = ["s0", "s1"]
-    g_meta, a_meta = multiscale_metadata(
-        multi, metadata_types=metadata_types, array_paths=array_paths
-    )
-
-    chunks = ((8, 8, 8), (8, 8, 8))
-    multi = [m.chunk(c) for m, c in zip(multi, chunks)]
-    group = multiscale_group(
-        temp_zarr,
+    chunks = (8, 8, 8)
+    g_spec = multiscale_group(
         multi,
-        array_paths=array_paths,
         metadata_types=metadata_types,
+        array_paths=array_paths,
         chunks=chunks,
         compressor=GZip(-1),
     )
 
+    multi = [m.chunk(c) for m, c in zip(multi, chunks)]
+
+    group = g_spec.to_zarr(store, path="/")
+
     array_urls = [f"{temp_zarr}/{ap}" for ap in array_paths]
     da.compute(store_blocks(multi, [access(a_url, mode="a") for a_url in array_urls]))
 
-    assert dict(group.attrs) == g_meta
-    assert tuple(read(a).chunks for a in array_urls) == chunks
+    assert dict(group.attrs) == g_spec.attrs
+    assert all(read(a).chunks == chunks for a in array_urls)
diff --git a/tests/test_zarr.py b/tests/test_zarr.py
index 95129c7..790c3c0 100644
--- a/tests/test_zarr.py
+++ b/tests/test_zarr.py
@@ -51,17 +51,17 @@ def test_read_xarray(temp_zarr):
     data["s1"] = data["s0"].coarsen({d: 2 for d in data["s0"].dims}).mean()
     data["s1"].name = "data"
 
-    zgroup = multiscale_group(
-        url,
-        tuple(data.values()),
-        tuple(data.keys()),
-        chunks=((64, 64, 64), (64, 64, 64)),
+    g_spec = multiscale_group(
+        arrays=tuple(data.values()),
         metadata_types=["cosem"],
-        group_attrs={},
+        array_paths=tuple(data.keys()),
+        chunks=(64, 64, 64),
     )
+    zgroup = g_spec.to_zarr(zarr.NestedDirectoryStore(temp_zarr), path=path)
+
     for key, value in data.items():
         zgroup[key] = value.data
-        zgroup[key].attrs["transform"] = STTransform.fromDataArray(value).dict()
+        zgroup[key].attrs["transform"] = STTransform.from_xarray(value).dict()
 
     tree_expected = DataTree.from_dict(data, name=path)
     assert_equal(to_xarray(zgroup["s0"]), data["s0"])
@@ -76,9 +76,9 @@ def test_read_xarray(temp_zarr):
 @pytest.mark.parametrize("name", (None, "foo"))
 def test_read_datatree(temp_zarr, attrs, coords, use_dask, name):
     path = "test"
-    url = os.path.join(temp_zarr, path)
+    os.path.join(temp_zarr, path)
     base_data = np.zeros((10, 10, 10))
-
+    store = zarr.NestedDirectoryStore(temp_zarr)
     if attrs is None:
         _attrs = {}
     else:
@@ -102,17 +102,18 @@ def test_read_datatree(temp_zarr, attrs, coords, use_dask, name):
     data["s1"] = data["s0"].coarsen({d: 2 for d in data["s0"].dims}).mean()
     data["s1"].name = "data"
 
-    tmp_zarr = multiscale_group(
-        url,
-        tuple(data.values()),
-        tuple(data.keys()),
-        chunks=((64, 64, 64), (64, 64, 64)),
+    g_spec = multiscale_group(
+        arrays=tuple(data.values()),
+        array_paths=tuple(data.keys()),
+        chunks=(64, 64, 64),
         metadata_types=["cosem"],
-        group_attrs=_attrs,
     )
+    g_spec.attrs.update(**_attrs)
+    group = g_spec.to_zarr(store, path=path)
+
     for key, value in data.items():
-        tmp_zarr[key] = value.data
-        tmp_zarr[key].attrs["transform"] = STTransform.fromDataArray(value).dict()
+        group[key] = value.data
+        group[key].attrs["transform"] = STTransform.from_xarray(value).dict()
 
     data_store = create_datatree(
         access_zarr(temp_zarr, path, mode="r"),
@@ -123,7 +124,7 @@ def test_read_datatree(temp_zarr, attrs, coords, use_dask, name):
     )
 
     if name is None:
-        assert data_store.name == tmp_zarr.basename
+        assert data_store.name == group.basename
     else:
         assert data_store.name == name
 
@@ -146,7 +147,7 @@ def test_read_datatree(temp_zarr, attrs, coords, use_dask, name):
 
     assert tree_expected.equals(data_store)
     if attrs is None:
-        assert dict(data_store.attrs) == dict(tmp_zarr.attrs)
+        assert dict(data_store.attrs) == dict(group.attrs)
     else:
         assert dict(data_store.attrs) == attrs
 
@@ -176,7 +177,7 @@ def test_read_dataarray(temp_zarr, attrs, coords, use_dask, name):
         mode="w",
         shape=data.shape,
         dtype=data.dtype,
-        attrs={"transform": STTransform.fromDataArray(data).dict(), **_attrs},
+        attrs={"transform": STTransform.from_xarray(data).dict(), **_attrs},
     )
 
     tmp_zarr[:] = data.data