diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index 9c33f60..0931638 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -40,11 +40,13 @@ jobs:
     - uses: actions/setup-python@v5
       with:
         python-version: ${{ matrix.python-version }}
+    - name: Install uv
+      uses: astral-sh/setup-uv@v4
     - name: Install package
-      run: python -m pip install .[test]
+      run: uv sync ${{ github.event_name == 'schedule' && '--upgrade' || '--frozen' }} --group test
     - name: Configure token access
       run: |
-        viresclient set_token "https://vires.services/ows" ${{ secrets.VIRES_TOKEN_SWARM }}
-        viresclient set_default_server https://vires.services/ows
+        uv run viresclient set_token "https://vires.services/ows" ${{ secrets.VIRES_TOKEN_SWARM }}
+        uv run viresclient set_default_server https://vires.services/ows
     - name: Test package
-      run: python -m pytest -ra
+      run: uv run pytest -ra
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 87232c6..3164b0e 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -22,6 +22,7 @@ repos:
   - id: mixed-line-ending
   - id: requirements-txt-fixer
   - id: trailing-whitespace
+    exclude: CITATION.cff
 
 - repo: https://github.com/pre-commit/pygrep-hooks
   rev: v1.10.0
diff --git a/.readthedocs.yml b/.readthedocs.yml
index f3ccb19..5fc0e90 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -6,10 +6,20 @@
 version: 2
 
 # Set the OS, Python version and other tools you might need
+# Use uv so that the uv.lock file is used for reproducibility
 build:
   os: ubuntu-24.04
   tools:
     python: "3.12"
+  jobs:
+    pre_create_environment:
+      - asdf plugin add uv
+      - asdf install uv latest
+      - asdf global uv latest
+    create_environment:
+      - uv venv "${READTHEDOCS_VIRTUALENV_PATH}"
+    install:
+      - UV_PROJECT_ENVIRONMENT="${READTHEDOCS_VIRTUALENV_PATH}" uv sync --frozen --group docs
 
 # Build documentation in the docs/ directory with Sphinx
 sphinx:
@@ -17,10 +27,3 @@ sphinx:
 
 # Include PDF and ePub
 formats: all
-
-python:
-  install:
-  - method: pip
-    path: .
-    extra_requirements:
-    - docs
diff --git a/CITATION.cff b/CITATION.cff
index 1aed36c..53f3cda 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -6,14 +6,14 @@ title: ESA-VirES/VirES-Python-Client
 message: >-
   Example citation:
 
-  “We use the Python package, viresclient [1], to access [ name the datasets ] from ESA's VirES for Swarm service [2]"
+  “We use the Python package, viresclient [1], to access [ name the datasets ] from ESA's VirES for Swarm service [2]".  
 
-  [1] Smith, A. R. A., Pačes, M., & Santillan, D. (2025). ESA-VirES/VirES-Python-Client. Zenodo. Smith, A. R. A., Pačes, M., & Santillan, D. (2025). ESA-VirES/VirES-Python-Client. Zenodo. Smith, A. R. A., Pačes, M., & Santillan, D. (2025). ESA-VirES/VirES-Python-Client (v0.14.1). Zenodo. Smith, A. R. A., Pačes, M., & Santillan, D. (2025). ESA-VirES/VirES-Python-Client (v0.14.1). Zenodo. https://doi.org/10.5281/zenodo.2554162
-  [2] https://vires.services
+  [1] Smith, A. R. A., Pačes, M., & Santillan, D. (2025). ESA-VirES/VirES-Python-Client. Zenodo. https://doi.org/10.5281/zenodo.2554162.  
+  [2] https://vires.services  
 
-  You may also wish to cite this paper:
+  You may also wish to cite this paper:  
 
-  Smith A.R.A., Pačes M. and Swarm DISC (2022) Python tools for ESA's Swarm mission: VirES for Swarm and surrounding ecosystem. Front. Astron. Space Sci. 9:1002697. https://doi.org/10.3389/fspas.2022.1002697
+  Smith A.R.A., Pačes M. and Swarm DISC (2022) Python tools for ESA's Swarm mission: VirES for Swarm and surrounding ecosystem. Front. Astron. Space Sci. 9:1002697. https://doi.org/10.3389/fspas.2022.1002697.  
 
   Please refer to the Swarm handbook for product references: https://swarmhandbook.earth.esa.int/
 type: software
diff --git a/README.rst b/README.rst
index bb55760..6d303b6 100644
--- a/README.rst
+++ b/README.rst
@@ -120,7 +120,7 @@ You can reference *viresclient* directly using the DOI of our zenodo_ record. Vi
 
   “We use the Python package, viresclient [1], to access [ name the datasets... ] from ESA's VirES for Swarm service [2]"
 
-  [1] Smith, A. R. A., Pačes, M., & Santillan, D. (2025). ESA-VirES/VirES-Python-Client. Zenodo. Smith, A. R. A., Pačes, M., & Santillan, D. (2025). ESA-VirES/VirES-Python-Client. Zenodo. https://doi.org/10.5281/zenodo.2554162
+  [1] Smith, A. R. A., Pačes, M., & Santillan, D. (2025). ESA-VirES/VirES-Python-Client. Zenodo. https://doi.org/10.5281/zenodo.2554162
   [2] https://vires.services
 
 (To follow best practices you should cite the specific version that you used - refer to the Zenodo page to find the correct DOI for that version)
diff --git a/docs/_templates/sections/header.html b/docs/_templates/sections/header.html
index 4189088..2752068 100644
--- a/docs/_templates/sections/header.html
+++ b/docs/_templates/sections/header.html
@@ -7,6 +7,7 @@
         <a href="https://swarmpal.readthedocs.io" class="link">SwarmPAL</a>
         <a href="https://vires.services" target="_blank" class="link">VirES for Swarm↗</a>
         <a href="https://vre.vires.services" target="_blank" class="link">Swarm JupyterHub↗</a>
+        <a href="https://dev.swarmdisc.org/dashboards/vires-query" target="_blank" class="link link-highlight">New! Query builder↗</a>
     </div>
     <div style="width: 100%; height: 5px;"></div>
     <div class="section">
@@ -48,6 +49,14 @@
         color: #1e90ff !important;
     }
 
+    .custom-header-container .link-highlight {
+        background-color: #ffc107;
+        color: #333 !important;
+        border-radius: 4px;
+        font-weight: bold;
+        padding: 3px 8px;
+    }
+
     .custom-header-container .link-selected {
         margin: 0 5px;
         padding: 5px 5px;
diff --git a/docs/available_parameters.rst b/docs/available_parameters.rst
index 8c6d046..031be08 100644
--- a/docs/available_parameters.rst
+++ b/docs/available_parameters.rst
@@ -52,6 +52,9 @@ The available measurements are segregated according to the "collection" (essenti
   - ``SW_FAST_MODx_SC_1B``
   - ``SW_FAST_FACxTMS_2F``
   - ``SW_FAST_TECxTMS_2F``
+  - ``SW_FAST_AEJxLPL_2F``
+  - ``SW_FAST_AEJxPBL_2F``
+  - ``SW_FAST_AOBxFAC_2F``
 
 Collections are grouped according to a type containing similar measurements (i.e. the same product from different spacecraft). The collection type can be given to :py:meth:`viresclient.SwarmRequest.available_collections` to retrieve the full collection names. These cover the Swarm data products as below (replace x with A, B, or C for Alpha, Bravo, or Charlie):
 
diff --git a/docs/release_notes.rst b/docs/release_notes.rst
index 31c4499..cc6b74b 100644
--- a/docs/release_notes.rst
+++ b/docs/release_notes.rst
@@ -4,6 +4,12 @@ Release notes
 Change log
 ----------
 
+Changes from 0.15.2 to 0.16.0
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+- Fix usage of ``reshape=True`` when using ``AUX_OBSH`` collection (via creating an additional ``SiteCode`` data variable)
+- Add more FAST product variants: ``SW_FAST_AEJxLPL_2F``, ``SW_FAST_AEJxPBL_2F``, ``SW_FAST_AOBxFAC_2F``
+
 Changes from 0.15.1 to 0.15.2
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
diff --git a/pyproject.toml b/pyproject.toml
index ae4d5bb..848c72b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -17,7 +17,7 @@ maintainers = [
 license = { file = "LICENSE" }
 description = "A Python client for interacting with a VirES server"
 readme = "README.rst"
-requires-python = ">=3.7"
+requires-python = ">=3.9"
 classifiers = [
     "License :: OSI Approved :: MIT License",
     "Topic :: Scientific/Engineering",
@@ -47,7 +47,7 @@ dependencies = [
     "xarray >= 0.11.0",
 ]
 
-[project.optional-dependencies]
+[dependency-groups]
 test = [
     "pytest >=6",
 ]
@@ -56,10 +56,10 @@ dev = [
     "nox >=2022",
 ]
 docs = [
-    "Sphinx == 8.2",
-    "sphinx-book-theme == 1.1.4",
-    "sphinx-copybutton == 0.5.2",
-    "sphinx-tabs == 3.4.7",
+    "Sphinx == 8.2; python_version>='3.11'",
+    "sphinx-book-theme == 1.1.4; python_version>='3.11'",
+    "sphinx-copybutton == 0.5.2; python_version>='3.11'",
+    "sphinx-tabs == 3.4.7; python_version>='3.11'",
 ]
 
 [project.scripts]
diff --git a/src/viresclient/__init__.py b/src/viresclient/__init__.py
index e7f2163..04872c1 100644
--- a/src/viresclient/__init__.py
+++ b/src/viresclient/__init__.py
@@ -35,4 +35,4 @@
 from ._config import ClientConfig, set_token
 from ._data_handling import ReturnedData, ReturnedDataFile
 
-__version__ = "0.15.2"
+__version__ = "0.16.0"
diff --git a/src/viresclient/_client_swarm.py b/src/viresclient/_client_swarm.py
index 45d4cba..4da7616 100644
--- a/src/viresclient/_client_swarm.py
+++ b/src/viresclient/_client_swarm.py
@@ -51,23 +51,23 @@
         " https://www.ncei.noaa.gov/products/international-geomagnetic-reference-field ",
     ),
     "CHAOS-Core": (
-        "CHAOS-8 Core field (SH degrees 1-20)",
+        "CHAOS Core field (SH degrees 1-20)",
         " http://www.spacecenter.dk/files/magnetic-models/CHAOS-8/ ",
     ),
     "CHAOS-Static": (
-        "CHAOS-8 crust field (SH degrees 21-185)",
+        "CHAOS crust field (SH degrees 21-185)",
         " http://www.spacecenter.dk/files/magnetic-models/CHAOS-8/ ",
     ),
     "CHAOS-MMA-Primary": (
-        "CHAOS-8 Primary (external) magnetospheric field",
+        "CHAOS Primary (external) magnetospheric field",
         " http://www.spacecenter.dk/files/magnetic-models/CHAOS-8/ ",
     ),
     "CHAOS-MMA-Secondary": (
-        "CHAOS-8 Secondary (internal) magnetospheric field",
+        "CHAOS Secondary (internal) magnetospheric field",
         " http://www.spacecenter.dk/files/magnetic-models/CHAOS-8/ ",
     ),
     "CHAOS-MIO": (
-        "CHAOS-8 Ionospheric field",
+        "CHAOS Ionospheric field",
         " http://www.spacecenter.dk/files/magnetic-models/CHAOS-8/ ",
     ),
     "MF7": (
@@ -79,75 +79,59 @@
         " http://www.spacecenter.dk/files/magnetic-models/LCS-1/",
     ),
     "MCO_SHA_2C": (
-        "[Comprehensive Inversion]: Core field of CIY4",
+        "[Comprehensive Inversion]: Core field",
         "https://swarmhandbook.earth.esa.int/catalogue/sw_mco_sha_2c",
-        " A comprehensive model of Earth’s magnetic field determined from 4 years of Swarm satellite observations, https://doi.org/10.1186/s40623-018-0896-3 ",
-        "Validation: ftp://swarm-diss.eo.esa.int/Level2longterm/MCO/SW_OPER_MCO_VAL_2C_20131201T000000_20180101T000000_0401.ZIP ",
     ),
     "MCO_SHA_2D": (
         "[Dedicated Chain]: Core field",
         "https://swarmhandbook.earth.esa.int/catalogue/sw_mco_sha_2d",
-        "An algorithm for deriving core magnetic field models from the Swarm data set, https://doi.org/10.5047/eps.2013.07.005 ",
-        "Validation: ftp://swarm-diss.eo.esa.int/Level2longterm/MCO/SW_OPER_MCO_VAL_2D_20131126T000000_20180101T000000_0401.ZIP ",
     ),
     "MLI_SHA_2C": (
-        "[Comprehensive Inversion]: Lithospheric field of CIY4",
+        "[Comprehensive Inversion]: Lithospheric field",
         "https://swarmhandbook.earth.esa.int/catalogue/sw_mli_sha_2c",
-        "Validation: ftp://swarm-diss.eo.esa.int/Level2longterm/MLI/SW_OPER_MLI_VAL_2C_00000000T000000_99999999T999999_0401.ZIP",
     ),
     "MLI_SHA_2D": (
         "[Dedicated Chain]: Lithospheric field",
         "https://swarmhandbook.earth.esa.int/catalogue/sw_mli_sha_2d",
-        " Swarm SCARF Dedicated Lithospheric Field Inversion chain, https://doi.org/10.5047/eps.2013.07.008 ",
-        " Validation: ftp://swarm-diss.eo.esa.int/Level2longterm/MLI/SW_OPER_MLI_VAL_2D_00000000T000000_99999999T999999_0401.ZIP ",
     ),
     "MLI_SHA_2E": (
         "[Extended dedicated chain]: Lithospheric field",
         "https://swarmhandbook.earth.esa.int/catalogue/sw_mli_sha_2e",
-        " Joint inversion of Swarm, CHAMP, and WDMAM data ",
-        " https://swarm-diss.eo.esa.int/?do=download&file=swarm%2FLevel2longterm%2FMLI%2FSW_OPER_MLI_VAL_2E_00000000T000000_99999999T999999_0502.ZIP ",
     ),
     "MMA_SHA_2C-Primary": (
-        "[Comprehensive Inversion]: Primary (external) magnetospheric field of CIY4",
+        "[Comprehensive Inversion]: Primary (external) magnetospheric field",
         "https://swarmhandbook.earth.esa.int/catalogue/sw_mma_sha_2c",
-        "Validation: ftp://swarm-diss.eo.esa.int/Level2longterm/MMA/SW_OPER_MMA_VAL_2C_20131201T000000_20180101T000000_0401.ZIP",
     ),
     "MMA_SHA_2C-Secondary": (
         "https://swarmhandbook.earth.esa.int/catalogue/sw_mma_sha_2c",
-        "[Comprehensive Inversion]: Secondary (internal/induced) magnetospheric field of CIY4",
+        "[Comprehensive Inversion]: Secondary (internal/induced) magnetospheric field",
     ),
     "MMA_SHA_2F-Primary": (
         "[Fast-Track Product]: Primary (external) magnetospheric field",
         "https://swarmhandbook.earth.esa.int/catalogue/sw_mma_sha_2f",
-        " Rapid modelling of the large-scale magnetospheric field from Swarm satellite data, https://doi.org/10.5047/eps.2013.09.003 ",
     ),
     "MMA_SHA_2F-Secondary": (
         "[Fast-Track Product]: Secondary (internal/induced) magnetospheric field",
         "https://swarmhandbook.earth.esa.int/catalogue/sw_mma_sha_2f",
     ),
     "MIO_SHA_2C-Primary": (
-        "[Comprehensive Inversion]: Primary (external) ionospheric field of CIY4",
+        "[Comprehensive Inversion]: Primary (external) ionospheric field",
         "https://swarmhandbook.earth.esa.int/catalogue/sw_mio_sha_2c",
-        "Validation: ftp://swarm-diss.eo.esa.int/Level2longterm/MIO/SW_OPER_MIO_VAL_2C_00000000T000000_99999999T999999_0401.ZIP ",
     ),
     "MIO_SHA_2C-Secondary": (
-        "[Comprehensive Inversion]: Secondary (external/induced) ionospheric field of CIY4",
+        "[Comprehensive Inversion]: Secondary (external/induced) ionospheric field",
         "https://swarmhandbook.earth.esa.int/catalogue/sw_mio_sha_2c",
     ),
     "MIO_SHA_2D-Primary": (
         "[Dedicated Chain]: Primary (external) ionospheric field, DIFI",
         "https://swarmhandbook.earth.esa.int/catalogue/sw_mio_sha_2d",
-        " Swarm SCARF dedicated ionospheric field inversion chain, https://doi.org/10.5047/eps.2013.08.006 ",
-        " First results from the Swarm Dedicated Ionospheric Field Inversion chain, https://doi.org/10.1186/s40623-016-0481-6 ",
-        " http://geomag.colorado.edu/difi-3 ",
-        "Validation: ftp://swarm-diss.eo.esa.int/Level2longterm/MIO/SW_OPER_MIO_VAL_2D_20131201T000000_20171231T235959_0402.ZIP ",
     ),
     "MIO_SHA_2D-Secondary": (
         "[Dedicated Chain]: Secondary (external/induced) ionospheric field, DIFI",
         "https://swarmhandbook.earth.esa.int/catalogue/sw_mio_sha_2d",
     ),
     "AMPS": (
-        "AMPS - associated magnetic field, https://github.com/klaundal/pyAMPS",
+        "AMPS - Polar currents magnetic field, https://github.com/klaundal/pyAMPS",
         "https://swarmhandbook.earth.esa.int/catalogue/sw_mio_sha_2e",
     ),
     "MCO_SHA_2X": (
@@ -261,9 +245,9 @@
         )
 
 DATA_CITATIONS = {
-    "AUX_OBSH": "ftp://ftp.nerc-murchison.ac.uk/geomag/Swarm/AUX_OBS/hour/README",
-    "AUX_OBSM": "ftp://ftp.nerc-murchison.ac.uk/geomag/Swarm/AUX_OBS/minute/README",
-    "AUX_OBSS": "ftp://ftp.nerc-murchison.ac.uk/geomag/Swarm/AUX_OBS/second/README",
+    "AUX_OBSH": "https://auxobs-api.bgs.ac.uk/docs",
+    "AUX_OBSM": "https://auxobs-api.bgs.ac.uk/docs",
+    "AUX_OBSS": "https://auxobs-api.bgs.ac.uk/docs",
 }
 
 IAGA_CODES = CONFIG_SWARM.get("IAGA_CODES")
@@ -563,16 +547,28 @@ class SwarmRequest(ClientRequest):
         ],
         "EEF": [f"SW_OPER_EEF{x}TMS_2F" for x in "ABC"],
         "IPD": [f"SW_OPER_IPD{x}IRR_2F" for x in "ABC"],
-        "AEJ_LPL": [f"SW_OPER_AEJ{x}LPL_2F" for x in "ABC"],
-        "AEJ_LPL:Quality": [f"SW_OPER_AEJ{x}LPL_2F:Quality" for x in "ABC"],
+        "AEJ_LPL": [
+            *(f"SW_OPER_AEJ{x}LPL_2F" for x in "ABC"),
+            *(f"SW_FAST_AEJ{x}LPL_2F" for x in "ABC"),
+        ],
+        "AEJ_LPL:Quality": [
+            *(f"SW_OPER_AEJ{x}LPL_2F:Quality" for x in "ABC"),
+            *(f"SW_FAST_AEJ{x}LPL_2F:Quality" for x in "ABC"),
+        ],
         "AEJ_LPS": [f"SW_OPER_AEJ{x}LPS_2F" for x in "ABC"],
         "AEJ_LPS:Quality": [f"SW_OPER_AEJ{x}LPS_2F:Quality" for x in "ABC"],
-        "AEJ_PBL": [f"SW_OPER_AEJ{x}PBL_2F" for x in "ABC"],
+        "AEJ_PBL": [
+            *(f"SW_OPER_AEJ{x}PBL_2F" for x in "ABC"),
+            *(f"SW_FAST_AEJ{x}PBL_2F" for x in "ABC"),
+        ],
         "AEJ_PBS": [f"SW_OPER_AEJ{x}PBS_2F" for x in "ABC"],
         "AEJ_PBS:GroundMagneticDisturbance": [
             f"SW_OPER_AEJ{x}PBS_2F:GroundMagneticDisturbance" for x in "ABC"
         ],
-        "AOB_FAC": [f"SW_OPER_AOB{x}FAC_2F" for x in "ABC"],
+        "AOB_FAC": [
+            *(f"SW_OPER_AOB{x}FAC_2F" for x in "ABC"),
+            *(f"SW_FAST_AOB{x}FAC_2F" for x in "ABC"),
+        ],
         "AUX_OBSH": [
             "SW_OPER_AUX_OBSH2_",
             *[f"SW_OPER_AUX_OBSH2_:{code}" for code in IAGA_CODES],
diff --git a/src/viresclient/_data/config_swarm.json b/src/viresclient/_data/config_swarm.json
index 7d62dc0..a120aeb 100644
--- a/src/viresclient/_data/config_swarm.json
+++ b/src/viresclient/_data/config_swarm.json
@@ -1,4 +1,4 @@
 {
-    "IAGA_CODES": ["AAA", "AAE", "ABG", "ABK", "ABN", "AGN", "AIA", "ALE", "AMS", "AMT", "API", "AQU", "ARC", "ARS", "ASC", "ASH", "ASP", "BDV", "BEL", "BFE", "BFO", "BGY", "BJI", "BJN", "BLC", "BMT", "BNG", "BOU", "BOX", "BRD", "BRW", "BSL", "BYR", "CBB", "CBI", "CCS", "CDP", "CKI", "CLF", "CLH", "CMO", "CNB", "CNH", "COI", "CPL", "CSY", "CTA", "CTO", "CTS", "CWE", "CYG", "CZT", "DAL", "DBN", "DED", "DIK", "DLR", "DLT", "DMC", "DOB", "DOU", "DRV", "DUR", "EBR", "ELT", "ESA", "ESK", "EYR", "FCC", "FRD", "FRN", "FUQ", "FUR", "GAN", "GCK", "GDH", "GLM", "GLN", "GNA", "GNG", "GRM", "GUA", "GUI", "GWC", "GZH", "HAD", "HBK", "HER", "HIS", "HLP", "HON", "HRB", "HRN", "HTY", "HUA", "HYB", "IPM", "IQA", "IRT", "IZN", "JAI", "JCO", "KAK", "KDU", "KEP", "KHB", "KIR", "KIV", "KMH", "KNY", "KNZ", "KOU", "KSH", "LER", "LIV", "LMM", "LNN", "LNP", "LON", "LOV", "LRM", "LRV", "LVV", "LYC", "LZH", "MAB", "MAW", "MBC", "MBO", "MCQ", "MEA", "MFP", "MGD", "MID", "MIR", "MIZ", "MMB", "MMK", "MNK", "MOL", "MOS", "MZL", "NAQ", "NCK", "NEW", "NGK", "NGP", "NMP", "NUR", "NVL", "NVS", "ODE", "ORC", "OTT", "PAB", "PAF", "PAG", "PBQ", "PEG", "PET", "PHU", "PIL", "PMG", "PND", "POT", "PPT", "PST", "QGZ", "QIX", "QSB", "QZH", "RES", "RSV", "SBA", "SBL", "SED", "SFS", "SGE", "SHE", "SHL", "SHU", "SIL", "SIT", "SJG", "SOD", "SPA", "SPG", "SPT", "SSH", "SSO", "STJ", "SUA", "SVE", "TAM", "TAN", "TDC", "TEN", "TEO", "TFS", "THJ", "THL", "THY", "TIK", "TIR", "TND", "TOK", "TOO", "TRO", "TRW", "TSU", "TUC", "UJJ", "UPS", "VAL", "VIC", "VLJ", "VNA", "VOS", "VSK", "VSS", "WHN", "WIA", "WIC", "WIK", "WIT", "WNG", "YAK", "YKC", "YSS"],
+    "IAGA_CODES": ["AAA", "AAE", "ABG", "ABK", "ABN", "ACR", "ADA", "ADE", "AED", "AGN", "AHM", "AIA", "AIF", "ALE", "ALG", "ALH", "ALM", "ALU", "ALX", "AMD", "AMK", "AML", "AMN", "AMS", "AMT", "AMU", "AMZ", "ANC", "ANH", "ANK", "ANN", "ANO", "APA", "API", "AQU", "ARC", "ARE", "ARK", "ARR", "ARS", "ASC", "ASH", "ASK", "ASO", "ASP", "ATH", "AUI", "AUT", "AVE", "AVI", "AWS", "BAC", "BAG", "BAH", "BAL", "BBG", "BCL", "BDE", "BDV", "BEL", "BEU", "BEY", "BFE", "BFI", "BFO", "BGA", "BGH", "BGY", "BGZ", "BIN", "BJI", "BJN", "BJN", "BKC", "BKK", "BLC", "BLT", "BMK", "BMT", "BNA", "BNG", "BOC", "BOC", "BOD", "BOP", "BOP", "BOP", "BOU", "BOX", "BRD", "BRE", "BRN", "BRS", "BRT", "BRW", "BRW", "BSL", "BTI", "BTV", "BUC", "BUP", "BUZ", "BYH", "BYR", "BYR", "BZR", "CAI", "CAO", "CAX", "CBB", "CBI", "CCL", "CCP", "CCS", "CDE", "CDP", "CDS", "CEV", "CFI", "CGH", "CHL", "CHP", "CHR", "CHT", "CIP", "CKA", "CKI", "CLA", "CLF", "CLH", "CLI", "CLL", "CLZ", "CMB", "CMO", "CMO", "CMO", "CNB", "CNH", "CNH", "CNH", "COI", "COP", "CPA", "CPD", "CPI", "CPL", "CPS", "CPS", "CPY", "CRA", "CRC", "CRP", "CRP", "CSR", "CSS", "CSY", "CTA", "CTH", "CTO", "CTS", "CTX", "CUA", "CUS", "CWE", "CYG", "CZA", "CZT", "DAL", "DAR", "DAV", "DBN", "DDI", "DDU", "DED", "DEK", "DIK", "DIS", "DLN", "DLN", "DLR", "DLT", "DLT", "DMC", "DMF", "DNB", "DOB", "DOB", "DOU", "DRS", "DRV", "DUB", "DUR", "DUR", "DVS", "DZN", "EAS", "EBR", "EBR", "EDA", "EGS", "EIC", "EKP", "ELI", "ELT", "ENB", "EPN", "ESA", "ESK", "ETA", "ETA", "ETA", "ETA", "ETP", "ETT", "EUS", "EYR", "FAL", "FAN", "FCC", "FCP", "FCR", "FIH", "FLB", "FLE", "FLR", "FMC", "FMM", "FRA", "FRA", "FRB", "FRD", "FRL", "FRN", "FSM", "FSP", "FSV", "FTN", "FUQ", "FUR", "FYU", "GAN", "GAS", "GCK", "GDH", "GDH", "GEL", "GHB", "GHB", "GHB", "GHB", "GIB", "GIM", "GIR", "GIT", "GJO", "GLK", "GLM", "GLN", "GNA", "GNG", "GRM", "GRR", "GRW", "GTT", "GTW", "GUA", "GUI", "GUL", "GVD", "GVN", "GWC", "GYX", "GZH", "GZH", "HAD", "HAM", "HAN", "HBA", "HBK", "HCR", "HDF", "HEA", "HER", "HHH", "HII", "HIS", "HKC", "HKW", "HKW", "HLL", "HLP", "HLS", "HLW", "HMG", "HNA", "HOB", "HON", "HON", "HON", "HRB", "HRI", "HRN", "HST", "HST", "HST", "HST", "HST", "HTY", "HUA", "HUT", "HVN", "HVN", "HVN", "HVN", "HWK", "HYB", "HZC", "IBD", "ICH", "IIF", "ILN", "INK", "IPM", "IQA", "IRT", "IRT", "ISC", "ISK", "ISL", "ISP", "IVI", "IVI", "IVI", "IVI", "IZN", "JAI", "JAL", "JCO", "JEJ", "JIH", "JKI", "JMI", "JMI", "JOP", "JRV", "JSS", "JUL", "JUL", "JYG", "JYP", "KAK", "KAM", "KAR", "KAS", "KAT", "KDU", "KEL", "KEM", "KEP", "KEW", "KFT", "KGD", "KGF", "KGI", "KGI", "KHB", "KHS", "KIE", "KIR", "KIV", "KIV", "KLD", "KLI", "KMH", "KND", "KNS", "KNT", "KNY", "KNZ", "KOD", "KOR", "KOT", "KOU", "KPG", "KPT", "KRC", "KRE", "KSA", "KSH", "KSH", "KTC", "KTG", "KTS", "KUM", "KUY", "KVA", "KWJ", "KWT", "KZA", "KZN", "KZN", "KZN", "LAA", "LAA", "LAA", "LAA", "LAA", "LAS", "LAU", "LDV", "LED", "LEN", "LER", "LGR", "LIS", "LIV", "LKP", "LMD", "LMM", "LMP", "LNN", "LNP", "LOB", "LOC", "LON", "LOS", "LOV", "LOZ", "LPB", "LQA", "LRM", "LRV", "LSA", "LUA", "LUA", "LUA", "LUB", "LUC", "LVV", "LWI", "LYC", "LYH", "LYN", "LZH", "LZV", "MAB", "MAI", "MAK", "MAN", "MAS", "MAW", "MBC", "MBO", "MCH", "MCL", "MCM", "MCP", "MCQ", "MDD", "MDS", "MDY", "MEA", "MEL", "MEV", "MEX", "MFP", "MGD", "MGS", "MHV", "MID", "MIN", "MIO", "MIR", "MIU", "MIZ", "MJR", "MKL", "MLT", "MMB", "MMH", "MMK", "MNH", "MNK", "MNN", "MOD", "MOG", "MOH", "MOL", "MOS", "MOS", "MRI", "MRM", "MRN", "MSK", "MSR", "MUB", "MUT", "MWC", "MWR", "MZL", "NAI", "NAL", "NAN", "NAQ", "NCE", "NCK", "NDA", "NER", "NEW", "NFW", "NGK", "NGP", "NHO", "NKK", "NMP", "NMP", "NMT", "NNT", "NNT", "NNT", "NNT", "NNV", "NOK", "NOW", "NPF", "NPG", "NPH", "NPJ", "NPL", "NPM", "NRD", "NRW", "NSM", "NTS", "NUR", "NVL", "NVS", "NWP", "NWS", "NYI", "OAS", "ODA", "ODE", "ODE", "OKN", "ONW", "ORB", "ORC", "OSL", "OTM", "OTT", "OUL", "PAB", "PAF", "PAG", "PAI", "PAT", "PBK", "PBQ", "PBR", "PCU", "PEA", "PEB", "PEG", "PEG", "PEK", "PER", "PET", "PET", "PFK", "PGC", "PHU", "PIA", "PIF", "PIL", "PIO", "PJA", "PLA", "PLR", "PLS", "PMG", "PND", "PNL", "PNN", "PNN", "POD", "POD", "POK", "POL", "POT", "PPT", "PRA", "PRG", "PRU", "PSM", "PST", "PTL", "PTS", "PTU", "PTY", "QGZ", "QIX", "QSB", "QUE", "QZH", "QZH", "RAC", "RBD", "RBD", "RDJ", "REG", "RES", "REU", "RFH", "RIT", "RKT", "ROB", "ROD", "ROK", "RPC", "RSV", "RYB", "SAB", "SAG", "SAH", "SAN", "SAS", "SBA", "SBL", "SCO", "SCO", "SDN", "SED", "SEL", "SEO", "SEY", "SFS", "SFS", "SFS", "SGE", "SGE", "SHB", "SHE", "SHL", "SHT", "SHU", "SIL", "SIM", "SIN", "SIT", "SIT", "SJB", "SJG", "SJG", "SJL", "SKT", "SLU", "SMA", "SMG", "SNA", "SNA", "SNA", "SNT", "SNT", "SNV", "SOC", "SOD", "SOD", "SOD", "SOG", "SOK", "SON", "SOR", "SPA", "SPB", "SPE", "SPG", "SPL", "SPT", "SRE", "SRG", "SRO", "SSH", "SSO", "STF", "STH", "STJ", "STO", "STT", "SUA", "SUB", "SVD", "SVE", "SVG", "SWI", "SYD", "SYG", "SYO", "SZA", "TAA", "TAA", "TAC", "TAH", "TAL", "TAM", "TAN", "TAP", "TAP", "TAS", "TAY", "TCM", "TCN", "TDC", "TDC", "TEH", "TEL", "TEN", "TEO", "TEV", "TFS", "TGO", "THD", "THJ", "THL", "THU", "THY", "TIF", "TIK", "TIO", "TIP", "TIR", "TJO", "TKH", "TKT", "TLK", "TLS", "TMB", "TMK", "TMP", "TNB", "TND", "TNG", "TOH", "TOK", "TOL", "TOO", "TOR", "TPA", "TPB", "TRD", "TRD", "TRO", "TRW", "TSI", "TSK", "TST", "TSU", "TSY", "TTB", "TTB", "TUC", "TUC", "TUL", "TUM", "TUN", "TYN", "UBA", "UCC", "UGT", "UJJ", "UKH", "UMA", "UPS", "URC", "UTR", "VAL", "VAN", "VIC", "VLA", "VLJ", "VNA", "VNA", "VOR", "VOS", "VQS", "VRE", "VSK", "VSS", "VYK", "WAT", "WDC", "WDC", "WDC", "WDC", "WES", "WHN", "WHS", "WIA", "WIC", "WIE", "WIK", "WIL", "WIT", "WKE", "WLH", "WMQ", "WMQ", "WNG", "WNG", "WNP", "WRH", "WSE", "WSW", "WUS", "XIC", "YAK", "YAK", "YCB", "YKC", "YNV", "YON", "YSH", "YSS", "ZAR", "ZHS", "ZIN", "ZKW", "ZUY", "ZZH"],
     "VOBS_SITES": ["N90E000", "N77E026", "N77E077", "N77E129", "N77E180", "N77W129", "N77W077", "N77W026", "N65E004", "N65E032", "N65E059", "N65E087", "N65E115", "N65E142", "N65E170", "N65W162", "N65W135", "N65W107", "N65W079", "N65W051", "N65W024", "N54W003", "N54E017", "N54E037", "N54E057", "N54E077", "N54E097", "N54E117", "N54E137", "N54E157", "N54E177", "N54W163", "N54W143", "N54W123", "N54W103", "N54W083", "N54W063", "N54W043", "N54W023", "N42W007", "N42E009", "N42E024", "N42E040", "N42E056", "N42E071", "N42E087", "N42E103", "N42E118", "N42E134", "N42E150", "N42E165", "N42W179", "N42W163", "N42W148", "N42W132", "N42W116", "N42W101", "N42W085", "N42W069", "N42W054", "N42W038", "N42W023", "N30W009", "N30E004", "N30E018", "N30E031", "N30E044", "N30E058", "N30E071", "N30E084", "N30E098", "N30E111", "N30E124", "N30E138", "N30E151", "N30E164", "N30E178", "N30W169", "N30W156", "N30W142", "N30W129", "N30W116", "N30W102", "N30W089", "N30W076", "N30W062", "N30W049", "N30W036", "N30W022", "N18W010", "N18E002", "N18E014", "N18E026", "N18E038", "N18E050", "N18E062", "N18E074", "N18E086", "N18E098", "N18E110", "N18E122", "N18E134", "N18E146", "N18E158", "N18E170", "N18W178", "N18W166", "N18W154", "N18W142", "N18W130", "N18W118", "N18W106", "N18W094", "N18W082", "N18W070", "N18W058", "N18W046", "N18W034", "N18W022", "N06W010", "N06E002", "N06E013", "N06E025", "N06E037", "N06E048", "N06E060", "N06E072", "N06E083", "N06E095", "N06E106", "N06E118", "N06E130", "N06E141", "N06E153", "N06E164", "N06E176", "N06W172", "N06W161", "N06W149", "N06W138", "N06W126", "N06W114", "N06W103", "N06W091", "N06W079", "N06W068", "N06W056", "N06W045", "N06W033", "N06W021", "S06W004", "S06E008", "S06E019", "S06E031", "S06E042", "S06E054", "S06E066", "S06E077", "S06E089", "S06E101", "S06E112", "S06E124", "S06E135", "S06E147", "S06E159", "S06E170", "S06W178", "S06W167", "S06W155", "S06W143", "S06W132", "S06W120", "S06W108", "S06W097", "S06W085", "S06W074", "S06W062", "S06W050", "S06W039", "S06W027", "S06W016", "S18W003", "S18E009", "S18E021", "S18E033", "S18E045", "S18E057", "S18E069", "S18E081", "S18E093", "S18E105", "S18E117", "S18E129", "S18E141", "S18E153", "S18E165", "S18E177", "S18W171", "S18W159", "S18W147", "S18W135", "S18W123", "S18W111", "S18W099", "S18W087", "S18W075", "S18W063", "S18W051", "S18W039", "S18W027", "S18W015", "S30W001", "S30E012", "S30E025", "S30E039", "S30E052", "S30E065", "S30E079", "S30E092", "S30E105", "S30E119", "S30E132", "S30E145", "S30E159", "S30E172", "S30W175", "S30W161", "S30W148", "S30W135", "S30W121", "S30W108", "S30W095", "S30W081", "S30W068", "S30W055", "S30W041", "S30W028", "S30W015", "S42E001", "S42E017", "S42E033", "S42E048", "S42E064", "S42E079", "S42E095", "S42E111", "S42E126", "S42E142", "S42E158", "S42E173", "S42W171", "S42W155", "S42W140", "S42W124", "S42W108", "S42W093", "S42W077", "S42W061", "S42W046", "S42W030", "S42W014", "S54E006", "S54E026", "S54E046", "S54E066", "S54E086", "S54E106", "S54E126", "S54E146", "S54E166", "S54W174", "S54W154", "S54W134", "S54W114", "S54W094", "S54W074", "S54W054", "S54W034", "S54W014", "S65E014", "S65E042", "S65E070", "S65E098", "S65E125", "S65E153", "S65W179", "S65W152", "S65W124", "S65W096", "S65W069", "S65W041", "S65W013", "S77E040", "S77E092", "S77E143", "S77W166", "S77W114", "S77W063", "S77W011", "S90E000"]
 }
diff --git a/src/viresclient/_data_handling.py b/src/viresclient/_data_handling.py
index 2189776..0b0cb7c 100644
--- a/src/viresclient/_data_handling.py
+++ b/src/viresclient/_data_handling.py
@@ -327,46 +327,39 @@ def as_xarray_dataset(self, reshape=False):
         return ds
 
     def reshape_dataset(self, ds):
-        if "SiteCode" in ds.data_vars:
-            codevar = "SiteCode"
-        elif "IAGA_code" in ds.data_vars:
-            codevar = "IAGA_code"
-        else:
+        has_site = "SiteCode" in ds.data_vars
+        has_iaga = "IAGA_code" in ds.data_vars
+        has_obs_index = "ObsIndex" in ds.data_vars
+        if not has_site and not has_iaga:
             raise NotImplementedError(
-                """
-                Only available for GVO dataset where the "SiteCode"
-                parameter has been requested, or OBS dataset with "IAGA_code"
-                """
+                "reshape requires 'IAGA_code' (for OBS) or 'SiteCode' (for GVO) "
+                "to be included in measurements"
             )
-        # Create integer "Site" identifier based on SiteCode / IAGA_code
-        sites = dict(enumerate(sorted(set(ds[codevar].values))))
-        sites_inv = {v: k for k, v in sites.items()}
-        if len(sites) == 0:
-            _ds_locs = ds
-        else:
-            # Identify (V)OBS locations and mapping from integer "Site" identifier
-            pos_vars = ["Longitude", "Latitude", "Radius", codevar]
-            _ds_locs = next(iter(ds[pos_vars].groupby(self._time_variable)))[1]
-            if len(sites) > 1:
-                _ds_locs = _ds_locs.drop(self._time_variable).rename(
-                    {self._time_variable: "Site"}
-                )
-            else:
-                _ds_locs = _ds_locs.drop(self._time_variable).expand_dims("Site")
-            _ds_locs["Site"] = [
-                sites_inv.get(code) for code in _ds_locs[codevar].values
-            ]
-            _ds_locs = _ds_locs.sortby("Site")
-        # Create dataset initialised with the (V)OBS positional info as coords
-        # and datavars (empty) reshaped to (Site, Timestamp, ...)
+        if has_iaga and has_obs_index:
+            return self._reshape_two_codes(ds)
+        return self._reshape_one_code(ds, "SiteCode" if has_site else "IAGA_code")
+
+    def _reshape_one_code(self, ds, codevar):
+        # Build position lookup and site ordering from per-site groupby.
+        # (Using the first-timestamp approach would miss sites absent at t=0.)
+        pos_lookup = {}
+        for code, _sub in ds.groupby(codevar):
+            pos_lookup[code] = {
+                "Latitude": float(_sub["Latitude"].values[0]),
+                "Longitude": float(_sub["Longitude"].values[0]),
+                "Radius": float(_sub["Radius"].values[0]),
+            }
+        site_keys = sorted(pos_lookup.keys())
+        sites_inv = {code: i for i, code in enumerate(site_keys)}
+        N_sites = len(site_keys)
         t = numpy.unique(ds[self._time_variable])
         ds2 = xarray.Dataset(
             coords={
                 self._time_variable: t,
-                codevar: (("Site"), _ds_locs[codevar].data),
-                "Latitude": ("Site", _ds_locs["Latitude"].data),
-                "Longitude": ("Site", _ds_locs["Longitude"].data),
-                "Radius": ("Site", _ds_locs["Radius"].data),
+                codevar: ("Site", site_keys),
+                "Latitude": ("Site", [pos_lookup[c]["Latitude"] for c in site_keys]),
+                "Longitude": ("Site", [pos_lookup[c]["Longitude"] for c in site_keys]),
+                "Radius": ("Site", [pos_lookup[c]["Radius"] for c in site_keys]),
                 "NEC": ["N", "E", "C"],
             },
         )
@@ -378,23 +371,39 @@ def reshape_dataset(self, ds):
             codevar,
             "Spacecraft",
         }
-        N_sites = len(_ds_locs[codevar])
         # Create empty data variables to be infilled
         for var in data_vars:
             shape = [N_sites, len(t), *ds[var].shape[1:]]
             ds2[var] = ("Site", *ds[var].dims), numpy.empty(shape, dtype=ds[var].dtype)
-            ds2[var][...] = None
-        # Loop through each (V)OBS site to infill the data
-        if N_sites != 0:
-            for k, _ds in dict(ds.groupby(codevar)).items():
-                site = sites_inv.get(k)
-                for var in data_vars:
-                    ds2[var][site, ...] = _ds[var].values
+            if numpy.issubdtype(ds[var].dtype, numpy.floating):
+                ds2[var][...] = numpy.nan
+        # Loop through each site to infill the data
+        for k, _ds in dict(ds.groupby(codevar)).items():
+            site = sites_inv[k]
+            _ds = _ds.sortby(self._time_variable)
+            t_mask = numpy.isin(t, _ds[self._time_variable].values)
+            for var in data_vars:
+                ds2[var][site, t_mask, ...] = _ds[var].values
         # Revert to using only the "SiteCode"/"IAGA_code" identifier
         ds2 = ds2.set_index({"Site": codevar})
         ds2 = ds2.rename({"Site": codevar})
         return ds2
 
+    def _reshape_two_codes(self, ds):
+        """Reshape dataset with both IAGA_code and ObsIndex.
+
+        Merges IAGA_code and ObsIndex into a single SiteCode variable
+        (e.g. "ABG0", "ALE1"), then delegates to _reshape_one_code.
+        """
+        site_codes = numpy.array(
+            [
+                f"{iaga}{obs}"
+                for iaga, obs in zip(ds["IAGA_code"].values, ds["ObsIndex"].values)
+            ]
+        )
+        ds = ds.assign(SiteCode=((self._time_variable,), site_codes))
+        return self._reshape_one_code(ds, "SiteCode")
+
 
 def make_pandas_DataFrame_from_csv(csv_filename, time_variable="Timestamp"):
     """Load a csv file into a pandas.DataFrame
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000..27a1be5
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,1772 @@
+version = 1
+revision = 3
+requires-python = ">=3.9"
+resolution-markers = [
+    "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.11' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'",
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