ca1-position-decoding task data: training and verification segments

ca1-position-decoding/input/acquisition.json

@@ -0,0 +1,43 @@
+{
+ "source": "Zong et al. 2022, Cell 185(6):1240-1256, MINI2P two-photon imaging in freely moving mice; hippocampal CA1, mouse 97289, session 2021-03-22; NIRD Research Data Archive DOI 10.11582/2022.00008, CC BY 4.0",
+ "imaging": {
+  "planes": 2,
+  "plane_depths_um": [
+   -50,
+   0
+  ],
+  "acquisition": "the two planes are scanned alternately, one frame each, so a volume is one frame of plane 0 followed by one frame of plane 1 about 69 ms later",
+  "volume_rate_hz": 7.25,
+  "frame_shape": [
+   256,
+   256
+  ],
+  "dtype": "int16, raw ScanImage photomultiplier counts, no motion correction",
+  "um_per_pixel": 0.96,
+  "indicator": "GCaMP6s",
+  "volumes": 6525,
+  "duration_s": 900.0
+ },
+ "tracking": {
+  "file": "tracking_dlc.csv",
+  "format": "DeepLabCut output: three header rows (scorer, bodyparts, coords) then one row per camera frame with x, y, likelihood for each body part, in camera pixels",
+  "camera_rate_hz": 14.5,
+  "cm_per_pixel": 0.08,
+  "rows_per_volume": 2,
+  "alignment": "camera row 2k is simultaneous with plane-0 frame k, row 2k+1 with plane-1 frame k",
+  "bodyparts": [
+   "top_right_corner",
+   "top_left_corner",
+   "bottom_left_corner",
+   "bottom_right_corner",
+   "left_ear",
+   "right_ear",
+   "tail_base",
+   "nose_tip",
+   "cue_card_bottom_center",
+   "chocolate_milk"
+  ],
+  "arena": "square open field about 55 cm across; the four tracked corners give its position in the camera image"
+ },
+ "segment": "first 15 minutes of the session"
+}

ca1-position-decoding/input/plane0.npy

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+size 855244928

ca1-position-decoding/input/plane1.npy

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ca1-position-decoding/verification/acquisition.json

@@ -0,0 +1,43 @@
+{
+ "source": "Zong et al. 2022, Cell 185(6):1240-1256, MINI2P two-photon imaging in freely moving mice; hippocampal CA1, mouse 97289, session 2021-03-22; NIRD Research Data Archive DOI 10.11582/2022.00008, CC BY 4.0",
+ "imaging": {
+  "planes": 2,
+  "plane_depths_um": [
+   -50,
+   0
+  ],
+  "acquisition": "the two planes are scanned alternately, one frame each, so a volume is one frame of plane 0 followed by one frame of plane 1 about 69 ms later",
+  "volume_rate_hz": 7.25,
+  "frame_shape": [
+   256,
+   256
+  ],
+  "dtype": "int16, raw ScanImage photomultiplier counts, no motion correction",
+  "um_per_pixel": 0.96,
+  "indicator": "GCaMP6s",
+  "volumes": 6525,
+  "duration_s": 900.0
+ },
+ "tracking": {
+  "file": "tracking_dlc.csv",
+  "format": "DeepLabCut output: three header rows (scorer, bodyparts, coords) then one row per camera frame with x, y, likelihood for each body part, in camera pixels",
+  "camera_rate_hz": 14.5,
+  "cm_per_pixel": 0.08,
+  "rows_per_volume": 2,
+  "alignment": "camera row 2k is simultaneous with plane-0 frame k, row 2k+1 with plane-1 frame k",
+  "bodyparts": [
+   "top_right_corner",
+   "top_left_corner",
+   "bottom_left_corner",
+   "bottom_right_corner",
+   "left_ear",
+   "right_ear",
+   "tail_base",
+   "nose_tip",
+   "cue_card_bottom_center",
+   "chocolate_milk"
+  ],
+  "arena": "square open field about 55 cm across; the four tracked corners give its position in the camera image"
+ },
+ "segment": "second 15 minutes of the session, immediately following the input segment"
+}

ca1-position-decoding/verification/plane0.npy

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+oid sha256:975666a99f515ed04d18301979497fee3b0f6a3f9bf051d8fee821b71ac52b58
+size 855244928

ca1-position-decoding/verification/plane1.npy

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