Update conda-lock.yml and rendered conda environment files.

environments/conda-linux-64.lock.yml

@@ -232,6 +232,7 @@ dependencies:
   - pickleshare=0.7.5=py_1003
   - pkginfo=1.9.6=pyhd8ed1ab_0
   - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1
+  - platformdirs=4.1.0=pyhd8ed1ab_0
   - pluggy=1.3.0=pyhd8ed1ab_0
   - prettier=3.1.0=h31abb78_0
   - prometheus_client=0.19.0=pyhd8ed1ab_0
@@ -349,6 +350,7 @@ dependencies:
   - jinja2=3.1.2=pyhd8ed1ab_1
   - joblib=1.3.2=pyhd8ed1ab_0
   - jsonlines=4.0.0=pyhd8ed1ab_0
+  - jupyter_core=5.5.0=py311h38be061_0
   - jupyterlab_pygments=0.3.0=pyhd8ed1ab_0
   - latexcodec=2.0.1=pyh9f0ad1d_0
   - libcblas=3.9.0=20_linux64_openblas
@@ -366,7 +368,6 @@ dependencies:
   - pillow=10.1.0=py311ha6c5da5_0
   - pint=0.22=pyhd8ed1ab_1
   - pip=23.3.1=pyhd8ed1ab_0
-  - platformdirs=4.0.0=pyhd8ed1ab_0
   - postgresql=16.1=h8972f4a_2
   - proj=9.3.0=h1d62c97_2
   - prompt-toolkit=3.0.41=pyha770c72_0
@@ -391,6 +392,7 @@ dependencies:
   - typing_inspect=0.9.0=pyhd8ed1ab_0
   - universal_pathlib=0.1.4=pyhd8ed1ab_0
   - urllib3=1.26.18=pyhd8ed1ab_0
+  - virtualenv=20.25.0=pyhd8ed1ab_0
   - watchdog=3.0.0=py311h38be061_1
   - xerces-c=3.2.4=hac6953d_3
   - yarl=1.9.3=py311h459d7ec_0
@@ -417,7 +419,6 @@ dependencies:
   - httpcore=1.0.2=pyhd8ed1ab_0
   - importlib_metadata=7.0.0=hd8ed1ab_0
   - jsonschema-specifications=2023.11.2=pyhd8ed1ab_0
-  - jupyter_core=5.5.0=py311h38be061_0
   - jupyter_server_terminals=0.4.4=pyhd8ed1ab_1
   - kealib=1.5.2=hcd42e92_1
   - libnetcdf=4.9.2=nompi_h80fb2b6_112
@@ -445,11 +446,10 @@ dependencies:
   - tiledb=2.16.3=h8c794c1_3
   - ukkonen=1.0.1=py311h9547e67_4
   - uvicorn=0.24.0.post1=py311h38be061_0
-  - virtualenv=20.25.0=pyhd8ed1ab_0
   - watchfiles=0.21.0=py311h46250e7_0
   - aiohttp=3.8.6=py311h459d7ec_1
   - alembic=1.13.0=pyhd8ed1ab_0
-  - arelle-release=2.17.7=pyhd8ed1ab_0
+  - arelle-release=2.18.0=pyhd8ed1ab_0
   - argon2-cffi=23.1.0=pyhd8ed1ab_0
   - aws-crt-cpp=0.24.7=h97e63c7_6
   - bottleneck=1.3.7=py311h1f0f07a_1
@@ -465,7 +465,7 @@ dependencies:
   - h3-py=3.7.6=py311hb755f60_1
   - httpx=0.25.2=pyhd8ed1ab_0
   - identify=2.5.32=pyhd8ed1ab_0
-  - ipython=8.18.1=pyh31011fe_1
+  - ipython=8.18.1=pyh31011fe_2
   - isoduration=20.11.0=pyhd8ed1ab_0
   - jsonschema=4.20.0=pyhd8ed1ab_0
   - jupyter_client=8.6.0=pyhd8ed1ab_0
@@ -538,21 +538,21 @@ dependencies:
   - libarrow-flight=14.0.1=h120cb0d_3_cpu
   - libarrow-gandiva=14.0.1=hacb8726_3_cpu
   - libparquet=14.0.1=h352af49_3_cpu
-  - nbconvert-core=7.11.0=pyhd8ed1ab_0
+  - nbconvert-core=7.12.0=pyhd8ed1ab_0
   - pygraphviz=1.11=py311hbf5cbc9_2
   - tableschema=1.19.3=pyh9f0ad1d_0
   - datapackage=1.15.2=pyh44b312d_0
   - google-cloud-storage=2.13.0=pyhca7485f_0
-  - jupyter_server=2.11.1=pyhd8ed1ab_0
+  - jupyter_server=2.11.2=pyhd8ed1ab_0
   - libarrow-dataset=14.0.1=h59595ed_3_cpu
   - libarrow-flight-sql=14.0.1=h61ff412_3_cpu
-  - nbconvert-pandoc=7.11.0=pyhd8ed1ab_0
+  - nbconvert-pandoc=7.12.0=pyhd8ed1ab_0
   - gcsfs=2023.12.0=pyhd8ed1ab_0
   - jupyter-lsp=2.2.1=pyhd8ed1ab_0
   - jupyter-resource-usage=1.0.1=pyhd8ed1ab_0
   - jupyterlab_server=2.25.2=pyhd8ed1ab_0
   - libarrow-substrait=14.0.1=h61ff412_3_cpu
-  - nbconvert=7.11.0=pyhd8ed1ab_0
+  - nbconvert=7.12.0=pyhd8ed1ab_0
   - notebook-shim=0.2.3=pyhd8ed1ab_0
   - jupyterlab=4.0.9=pyhd8ed1ab_0
   - pyarrow=14.0.1=py311h39c9aba_3_cpu