fix queries for ONE3

Author: mayofaulkner

examples/exploring_data/data_download.ipynb

@@ -142,16 +142,18 @@
    ]
   },
   {
-   "metadata": {},
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "### Find recordings of a specific brain region\n",
     "If we are interested in a given brain region, we can use the `search_insertions` method to find all recordings associated with that region. For example, to find all recordings associated with the **Rhomboid Nucleus (RH)** region of the thalamus."
    ]
   },
   {
-   "metadata": {},
    "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# this is the query that yields the few recordings for the Rhomboid Nucleus (RH) region\n",
     "insertions_rh = one.search_insertions(atlas_acronym='RH', datasets='spikes.times.npy', project='brainwide')\n",
@@ -161,9 +163,7 @@
     "\n",
     "# the Allen brain regions parcellation is hierarchical, and searching for Thalamus will return all child Rhomboid Nucleus (RH) regions\n",
     "assert set(insertions_rh).issubset(set(insertions_th))\n"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -183,7 +183,7 @@
    "outputs": [],
    "source": [
     "# Find sessions that have spikes.times datasets\n",
-    "sessions_with_spikes = one.search(project='brainwide', dataset='spikes.times')"
+    "sessions_with_spikes = one.search(project='brainwide', datasets='spikes.times.npy')"
    ]
   },
   {
@@ -253,7 +253,7 @@
    "outputs": [],
    "source": [
     "# Find an example session with trials data\n",
-    "eid, *_ = one.search(project='brainwide', dataset='_ibl_trials.table.pqt')\n",
+    "eid, *_ = one.search(project='brainwide', datasets='_ibl_trials.table.pqt')\n",
     "# List datasets associated with a session, in the alf collection\n",
     "datasets = one.list_datasets(eid, collection='alf*')\n",
     "\n",
@@ -375,7 +375,7 @@
     "lab_name = list(labs)[0]\n",
     "\n",
     "# Searching for RS sessions with specific lab name\n",
-    "sessions_lab = one.search(dataset='spikes', lab=lab_name)"
+    "sessions_lab = one.search(datasets='spikes', lab=lab_name)"
    ]
   },
   {

examples/loading_data/loading_photometry_data.ipynb

@@ -61,7 +61,7 @@
    "source": [
     "from one.api import ONE\n",
     "one = ONE()\n",
-    "sessions = one.search(dataset='photometry.signal.pqt')\n",
+    "sessions = one.search(datasets='photometry.signal.pqt')\n",
     "print(f'{len(sessions)} sessions with photometry data found')"
    ]
   },
@@ -271,7 +271,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.16"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

examples/loading_data/loading_widefield_data.ipynb

@@ -86,7 +86,7 @@
    "source": [
     "from one.api import ONE\n",
     "one = ONE()\n",
-    "sessions = one.search(dataset='widefieldU.images.npy')\n",
+    "sessions = one.search(datasets='widefieldU.images.npy')\n",
     "print(f'{len(sessions)} sessions with widefield data found')"
    ]
   },
@@ -224,7 +224,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.16"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,