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Updating TOC, CI fix
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_toc.yml

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- file: notebooks/multi_mission/missions_mast_search/missions_mast_search.ipynb
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- file: notebooks/multi_mission/galex_panstarrs_bulk_download/galex_panstarrs_bulk_download.ipynb
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- file: notebooks/multi_mission/resolve_targets/resolve_targets.ipynb
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- file: notebooks/multi_mission/cloud_data_access/cloud_data_access.ipynb
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- file: notebooks/multi_mission/display_footprints/display_footprints.ipynb
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- caption: PanSTARRS

notebooks/HSC/HSCV3_API/hscv3_api.ipynb

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" badcols = []\n",
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" for col in columns:\n",
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" if col.lower().strip() not in dcols:\n",
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" badcols.append(col)\n",
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" if col.lower().strip().endswith('_mad'):\n",
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" dcols[col.lower().replace('_mad', '_sigma')] = 1\n",
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" else:\n",
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" badcols.append(col)\n",
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" if badcols:\n",
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" raise ValueError(f\"Some columns not found in table: {', '.join(badcols)}\")\n",
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" # two different ways to specify a list of column values in the API\n",

notebooks/multi_mission/astroquery.md

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| Large Downloads | When downloading large datasets, you may encounter timeout errors. This Notebook demonstrates robust queries that are less likely to encounter these issues. |
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| Historic Quasar Observations | Much of the data in MAST is archival; from no longer operational missions. Learn to check for archival coverage of your target and analyze the results. |
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| Searching for Mission-Specific Data with Astroquery | Learn the basic workflow for searching mission datasets, retrieving data products, and downloading data products with the `MastMissions` class, a wrapper around the [MAST Search API.](https://mast.stsci.edu/search/docs/) |
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| Resolving Named Objects with Astroquery | Learn how to resolve named objects using the `astroquery.mast` module and specify which resolver to use in queries. |
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| Resolving Named Objects with Astroquery | Learn how to resolve named objects using the `astroquery.mast` module and specify which resolver to use in queries. |
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| Accessing Cloud-Hosted Data with Astroquery | Learn how to discover and access cloud-hosted data from cloud-hosted repositories using the `astroquery.mast` module. |

notebooks/multi_mission/galex_panstarrs_bulk_download/galex_panstarrs_bulk_download.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# **Large downloads in astroquery.mast from AWS to local storage**"
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"# Large Downloads in `astroquery.mast` from AWS to Local Storage"
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]
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},
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{
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"metadata": {},
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"outputs": [],
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"source": [
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"obs = Observations.query_criteria(s_ra=[30.2, 31.2], s_dec=[-10.25, -9.25]\n",
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" , obs_collection=[\"GALEX\", \"PS1\"])\n",
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"obs = Observations.query_criteria(s_ra=[30.2, 31.2], s_dec=[-10.25, -9.25], \n",
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" obs_collection=[\"GALEX\", \"PS1\"])\n",
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"print(f'We retrieved {len(obs)} observations.')"
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]
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},

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