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explore_spikeforest_results.ipynb
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| { | |
| "nbformat": 4, | |
| "nbformat_minor": 0, | |
| "metadata": { | |
| "colab": { | |
| "name": "explore_spikeforest_results.ipynb", | |
| "version": "0.3.2", | |
| "provenance": [], | |
| "collapsed_sections": [], | |
| "toc_visible": true, | |
| "include_colab_link": true | |
| }, | |
| "kernelspec": { | |
| "name": "python3", | |
| "display_name": "Python 3" | |
| } | |
| }, | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "view-in-github", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/magland/1028fc92568c86f6b5a6e56766f9a8f1/explore_spikeforest_results.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "id": "B-fkj9wnsYRk", | |
| "colab_type": "text" | |
| }, | |
| "cell_type": "markdown", | |
| "source": [ | |
| "## Explore SpikeForest datasets and sorting results\n", | |
| "\n", | |
| "This notebook demonstrates how to use the SpikeForest python API to explore datasets and sorting results." | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "id": "cyP-yRDVsLmG", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "## Install the required python packages\n", | |
| "## Important: Only run this cell if you are on a hosted runtime and these packages are not yet installed\n", | |
| "\n", | |
| "%%capture\n", | |
| "!pip install spikeforest" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "id": "KecYj3Khut4v", | |
| "colab_type": "code", | |
| "outputId": "96914859-23e2-4661-8a03-6af80fed7750", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 272 | |
| } | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "## Display the versions of the installed software \n", | |
| "\n", | |
| "%%bash\n", | |
| "pip list | grep spikeforest\n", | |
| "pip list | grep spikeinterface\n", | |
| "pip list | grep spikewidgets\n", | |
| "pip list | grep spiketoolkit\n", | |
| "pip list | grep kbucket" | |
| ], | |
| "execution_count": 1, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "spikeforest 0.1.3 /home/magland/src/mldevel/components/spikeforest \n", | |
| "spikeinterface 0.1.14 /home/magland/src/mldevel/components/spikeinterface \n", | |
| "spikewidgets 0.1.16 /home/magland/src/mldevel/components/spikewidgets \n", | |
| "spiketoolkit 0.1.3 /home/magland/src/mldevel/spiketoolkit \n", | |
| "kbucket 0.11.17 /home/magland/src/mldevel/components/kbucket \n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "You are using pip version 10.0.1, however version 18.1 is available.\n", | |
| "You should consider upgrading via the 'pip install --upgrade pip' command.\n", | |
| "You are using pip version 10.0.1, however version 18.1 is available.\n", | |
| "You should consider upgrading via the 'pip install --upgrade pip' command.\n", | |
| "You are using pip version 10.0.1, however version 18.1 is available.\n", | |
| "You should consider upgrading via the 'pip install --upgrade pip' command.\n", | |
| "You are using pip version 10.0.1, however version 18.1 is available.\n", | |
| "You should consider upgrading via the 'pip install --upgrade pip' command.\n", | |
| "You are using pip version 10.0.1, however version 18.1 is available.\n", | |
| "You should consider upgrading via the 'pip install --upgrade pip' command.\n" | |
| ], | |
| "name": "stderr" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "id": "QcZOXiVZsAjP", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "# Imports\n", | |
| "%load_ext autoreload\n", | |
| "%autoreload 2\n", | |
| "\n", | |
| "from kbucket import client as kb\n", | |
| "import spikeforest as sf\n", | |
| "import spikewidgets as sw\n", | |
| "import spiketoolkit as st" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "id": "nQr9MX8hGqe-", | |
| "colab_type": "code", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 45628 | |
| }, | |
| "outputId": "409c6595-6317-4904-9141-3cd2bc68ecbb" | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "obj=kb.loadObject(key=dict(batch_name='summarize_recordings',name='job_results'))\n", | |
| "display(obj)" | |
| ], | |
| "execution_count": 88, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "{'job_results': [{'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'drift_8x_A_2A',\n", | |
| " 'recording': {'name': 'drift_8x_A_2A',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_A_2A'}},\n", | |
| " 'result': {'name': 'drift_8x_A_2A',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_A_2A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://5075df3791ea6536668df809465cbfc7c9841a9c/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://477ebe23d5ace318571a463e980e5d6d181c5f32/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_A_2A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://117f69ddbad932a495fb5a7193a4d32a747f58c6/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'drift_8x_A_2B',\n", | |
| " 'recording': {'name': 'drift_8x_A_2B',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_A_2B'}},\n", | |
| " 'result': {'name': 'drift_8x_A_2B',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_A_2B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://566bff176be6a64f40b2577cc69480d62c6439fb/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://54780e7f1100246d53b17a13d69e29048806904d/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_A_2B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://ca9227bf6a1fe95d8b2d90dccc159c8c3c9518d5/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'drift_8x_A_4A',\n", | |
| " 'recording': {'name': 'drift_8x_A_4A',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_A_4A'}},\n", | |
| " 'result': {'name': 'drift_8x_A_4A',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_A_4A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://725a596e3d2401b7a32fdee5490d8638a91e880a/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://912486b1b6ae57a0ef7c28cb6afb43bc0e9235a5/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_A_4A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://68c1c20f9723fb9eac80f540d96e11b9f69948e8/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'drift_8x_A_4B',\n", | |
| " 'recording': {'name': 'drift_8x_A_4B',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_A_4B'}},\n", | |
| " 'result': {'name': 'drift_8x_A_4B',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_A_4B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://ad7e7cf02f0ddecd61625d003e307f820f6b5672/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://a0ee925af6881d6b8d1979b055aa86a704add4b5/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_A_4B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://1bef69a4b7af57d391227325e30db2133aaada4d/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'drift_8x_B_2A',\n", | |
| " 'recording': {'name': 'drift_8x_B_2A',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_B_2A'}},\n", | |
| " 'result': {'name': 'drift_8x_B_2A',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_B_2A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://6da6667d8ef667a3d7a4b54a5a978d74d401e191/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://9e43078b494d00c1dcad3095b2822b57d3d7aa14/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_B_2A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://d48a43f4797446bb59cc20442d56a4865d8fda5c/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'drift_8x_B_2B',\n", | |
| " 'recording': {'name': 'drift_8x_B_2B',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_B_2B'}},\n", | |
| " 'result': {'name': 'drift_8x_B_2B',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_B_2B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://e8cdb4fff4c34df4c2921e7ba9dbcc8a11d32250/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://7eb4700d199642990e255b81e85ee4809bb30bc4/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_B_2B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://252f3cd29426c3cb3934e0e13bbd3d4e12ff3084/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'drift_8x_B_4A',\n", | |
| " 'recording': {'name': 'drift_8x_B_4A',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_B_4A'}},\n", | |
| " 'result': {'name': 'drift_8x_B_4A',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_B_4A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://86d2a683c3196f6104aa9a1621802e218234b028/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://03f5fa82ed37658df14a57957f74fc50bbc1660c/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_B_4A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://fa48d971027f83c02a4bb41925d0687426f6ff89/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'drift_8x_B_4B',\n", | |
| " 'recording': {'name': 'drift_8x_B_4B',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_B_4B'}},\n", | |
| " 'result': {'name': 'drift_8x_B_4B',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_B_4B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://7cf1972c85546546de07cf336f2914f608da383b/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://9bf318b516dfc24c506690678bbec0b27bb6fff2/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_B_4B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://8f2e1c4047fa4a67278e29d67622b40f7b29fade/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'drift_8x_C_2A',\n", | |
| " 'recording': {'name': 'drift_8x_C_2A',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_C_2A'}},\n", | |
| " 'result': {'name': 'drift_8x_C_2A',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_C_2A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://168f35ba847f30b79f56fa021fd47c343b021450/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://f007ecda98f522ca1b5d9b610291d17d3a1c7b75/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_C_2A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://4056192dcb33b0dd08a938b7a21ba14e74d43606/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'drift_8x_C_2B',\n", | |
| " 'recording': {'name': 'drift_8x_C_2B',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_C_2B'}},\n", | |
| " 'result': {'name': 'drift_8x_C_2B',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_C_2B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://80bff3a71df8eca00283d7a0938d112a52017d56/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://005628a592a0d05acae5e4b46856ec35f2ec468d/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_C_2B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://d906500e3d12d06963437cb26c0fac87ad5d27f2/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'drift_8x_C_4A',\n", | |
| " 'recording': {'name': 'drift_8x_C_4A',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_C_4A'}},\n", | |
| " 'result': {'name': 'drift_8x_C_4A',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_C_4A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://4435ef01caccdf2e3ee9bb3548952efb70155eef/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://1f5766e147f13898e99f0f2f3b5a218dfd502963/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_C_4A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://b9f316ea95f970eba488292846a1860649cf7390/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'drift_8x_C_4B',\n", | |
| " 'recording': {'name': 'drift_8x_C_4B',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_C_4B'}},\n", | |
| " 'result': {'name': 'drift_8x_C_4B',\n", | |
| " 'study': 'bionet_drift',\n", | |
| " 'description': '',\n", | |
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| " 'num_channels': 60,\n", | |
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| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_drift/drift_8x_C_4B/firings_true.mda',\n", | |
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| " 'study': 'bionet_shuffle',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_A_2A'}},\n", | |
| " 'result': {'name': 'shuffle_8x_A_2A',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_A_2A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
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| " 'waveforms_true': 'sha1://d8169333c4972df9caf737a28181bbe0aaa86e7f/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_A_2A/firings_true.mda',\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': 'shuffle_8x_A_2B',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_A_2B'}},\n", | |
| " 'result': {'name': 'shuffle_8x_A_2B',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_A_2B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://38d6976d1f62612c539aaf19eedc33075070bddb/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://188b7dfc42b6ffbdec0071561d99e70e0851606d/waveforms.jpg'},\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_A_4A'}},\n", | |
| " 'result': {'name': 'shuffle_8x_A_4A',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_A_4A',\n", | |
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| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://512655387045af7c77b1a159c7c61a23e10c2813/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://68901aa92f901a2ad685bb26f18cdd269802e7f7/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_A_4A/firings_true.mda',\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': 'shuffle_8x_A_4B',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_A_4B'}},\n", | |
| " 'result': {'name': 'shuffle_8x_A_4B',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_A_4B',\n", | |
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| " 'recording': {'name': 'shuffle_8x_B_2A',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_B_2A'}},\n", | |
| " 'result': {'name': 'shuffle_8x_B_2A',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_B_2A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
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| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_B_2A/firings_true.mda',\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': 'shuffle_8x_B_2B',\n", | |
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| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_B_2B'}},\n", | |
| " 'result': {'name': 'shuffle_8x_B_2B',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_B_2B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://71553dfa8780f015103e6cde374d92eb9e9a2212/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://fa5fdedbdc9b9c72539319d44c99ea635781b9ab/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_B_2B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://bdead85510b9ba675646a6b6ef9a859f6cf6d615/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': 'shuffle_8x_B_4A',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_B_4A'}},\n", | |
| " 'result': {'name': 'shuffle_8x_B_4A',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_B_4A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://da980a6de30cfc7e4ef60c904405fc704c935f13/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://d07f204977461d2b7cb46d788c41577a5dc89c1b/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_B_4A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://3466842e3f631999688b0cd4fd95c2397de36809/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': 'shuffle_8x_B_4B',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_B_4B'}},\n", | |
| " 'result': {'name': 'shuffle_8x_B_4B',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_B_4B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://39659b6d7390fab8d2d535f19e97d346fc364c0d/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://5cd12e4b46935e10a8656adce083549c9611db4b/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_B_4B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://7ed8919e945b4ab8295f16b0f7709bdb772d1e12/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'shuffle_8x_C_2A',\n", | |
| " 'recording': {'name': 'shuffle_8x_C_2A',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_C_2A'}},\n", | |
| " 'result': {'name': 'shuffle_8x_C_2A',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_C_2A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://4221bd4d46d60ba00556fe5b886c1db00b262e9a/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://f533ec8bfab74050dc95d3376704941ba6f58f1b/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_C_2A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://a54a08d92e5e8a1f6409ad43b9d79cf4f610bb35/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'shuffle_8x_C_2B',\n", | |
| " 'recording': {'name': 'shuffle_8x_C_2B',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_C_2B'}},\n", | |
| " 'result': {'name': 'shuffle_8x_C_2B',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_C_2B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://39baaf7a9e67383a225f8c23754c122847f154eb/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://ccc3ab14e87d94cde165e947bc45c13f064f5601/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_C_2B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://429858bcb006d2212f609e56b778702718d0f639/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'shuffle_8x_C_4A',\n", | |
| " 'recording': {'name': 'shuffle_8x_C_4A',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_C_4A'}},\n", | |
| " 'result': {'name': 'shuffle_8x_C_4A',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_C_4A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://bef9edd8d3748f0dd39c6342d59b2bce1139aa2d/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://f0d45d118ffd3aa4f676cc80d71b6383ecf393ab/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_C_4A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://9f8d2d930ebe7a87d816ee5a6620653e273b1ce5/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'shuffle_8x_C_4B',\n", | |
| " 'recording': {'name': 'shuffle_8x_C_4B',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_C_4B'}},\n", | |
| " 'result': {'name': 'shuffle_8x_C_4B',\n", | |
| " 'study': 'bionet_shuffle',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_C_4B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://b3b2c72eee030ce52f2f7b459a330607b9502cda/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://40b04fe28fed2127267fe54d5f7da72f4f4f0d1e/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_shuffle/shuffle_8x_C_4B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://d9b6465bf71f474a088542af6bcf0c96698b5e82/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'static_8x_A_2A',\n", | |
| " 'recording': {'name': 'static_8x_A_2A',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_A_2A'}},\n", | |
| " 'result': {'name': 'static_8x_A_2A',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_A_2A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://b68b137c17c12070488d65d507b1db84726cac5a/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://429591d57f7fb99eb84ffa54e692f47f552c9bf0/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_A_2A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://0b412c7eef7af9f9f027b3289a6e94ce5aa92fe1/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'static_8x_A_2B',\n", | |
| " 'recording': {'name': 'static_8x_A_2B',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_A_2B'}},\n", | |
| " 'result': {'name': 'static_8x_A_2B',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_A_2B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://31c2f6155da313e80c6a6b31b5e3d08ac46ff810/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://35b02c48699f96e2969ebad538a931eed5991e61/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_A_2B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://c389c5eaeaf3e1cf786916ad49718fb8e10e98e7/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'static_8x_A_4A',\n", | |
| " 'recording': {'name': 'static_8x_A_4A',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_A_4A'}},\n", | |
| " 'result': {'name': 'static_8x_A_4A',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_A_4A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://37523179114a0a89e74c6169fb951eb0f6bc9166/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://b39fa3b15219db82e52cd5effb8a117b8e551b1a/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_A_4A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://12b428525ffc313d93c2fd15889bd5c6eb3cbcee/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'static_8x_A_4B',\n", | |
| " 'recording': {'name': 'static_8x_A_4B',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_A_4B'}},\n", | |
| " 'result': {'name': 'static_8x_A_4B',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_A_4B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://7d534e878ebb467f7e66440253280d1713fa2563/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://0822de60e791f22204b5c7da3433c60c3cb0239a/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_A_4B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://b7e053617b24d154b58f57ae9695e066f5fe510c/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'static_8x_B_2A',\n", | |
| " 'recording': {'name': 'static_8x_B_2A',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_B_2A'}},\n", | |
| " 'result': {'name': 'static_8x_B_2A',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_B_2A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://ad9eb343e6a7f4aa265a883df36310c37a548895/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://afb3398d8e6255495dee1c4f67d2bc512fdbb908/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_B_2A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://ed0856e41bdfdb79beb4494e3b5badf753b6931e/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'static_8x_B_2B',\n", | |
| " 'recording': {'name': 'static_8x_B_2B',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_B_2B'}},\n", | |
| " 'result': {'name': 'static_8x_B_2B',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_B_2B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://84337cdd1fa712c830c5ac8703019abb05bb7087/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://0d2904b4034a9dd8bac271f57c3c3a26eec15039/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_B_2B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://7b71a51b8190d8e5fe8a3e8aff9483ba9431c7f8/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'static_8x_B_4A',\n", | |
| " 'recording': {'name': 'static_8x_B_4A',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_B_4A'}},\n", | |
| " 'result': {'name': 'static_8x_B_4A',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_B_4A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://4792d42397efd8ef2e04759a633be638b0651985/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://6c311d64b03469b8d71829d9ceaedaac6a6d074a/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_B_4A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://295dfebabc2080a37ae9bf4ad076f19114ef55c0/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'static_8x_B_4B',\n", | |
| " 'recording': {'name': 'static_8x_B_4B',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_B_4B'}},\n", | |
| " 'result': {'name': 'static_8x_B_4B',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_B_4B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://bd79d14051cde550e3fc6e09ee09e07a10959191/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://be6a5f7765a23a2c48edbe5c718cc176246a735d/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_B_4B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://967028eed1786d85b5f6f9263d7fe0e31e696e40/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'static_8x_C_2A',\n", | |
| " 'recording': {'name': 'static_8x_C_2A',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_C_2A'}},\n", | |
| " 'result': {'name': 'static_8x_C_2A',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_C_2A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://449b14f74acfa1c5b3e6c2a49bb940723d820bc7/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://504b59e47f24b025292a29861098bf0451eaa909/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_C_2A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://d20ff27d2288eef8924145db34fe1489a503b645/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'static_8x_C_2B',\n", | |
| " 'recording': {'name': 'static_8x_C_2B',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_C_2B'}},\n", | |
| " 'result': {'name': 'static_8x_C_2B',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_C_2B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://45c9e6fe2d0481f9b74af3659fc8d817dc4ac79f/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://cbbf127a7c429997e0a9a60e1f4981d82f512628/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_C_2B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://d07e71f23a34152c79573e4562c3bc68414a10f5/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'static_8x_C_4A',\n", | |
| " 'recording': {'name': 'static_8x_C_4A',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_C_4A'}},\n", | |
| " 'result': {'name': 'static_8x_C_4A',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_C_4A',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://9ab16c241675f7a7b47e3b8f9de137551430a203/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://572073cbff260109c2c5961d89e036648a51afb5/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_C_4A/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://f3da0769b1418b8f90d6f76d446c70b16caf2a2d/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'static_8x_C_4B',\n", | |
| " 'recording': {'name': 'static_8x_C_4B',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_C_4B'}},\n", | |
| " 'result': {'name': 'static_8x_C_4B',\n", | |
| " 'study': 'bionet_static',\n", | |
| " 'description': '',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_C_4B',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 60,\n", | |
| " 'duration_sec': 960.0},\n", | |
| " 'plots': {'timeseries': 'sha1://e3ec59444a50e220b11faf99e7d3b9ca1d8a85aa/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://84461fd276ec6a0efb6e582847a6cd92fa0c9a8a/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/bionet/bionet_static/static_8x_C_4B/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://41d6b9226ad537ffd390098f0e1dec797614ad6e/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '001_synth',\n", | |
| " 'recording': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study'}},\n", | |
| " 'result': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://cd0958b1f58faed6764e703deb3b70e59b2f1d27/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://ca477b2bebaa3dd0d6bc2f6987772d4ab6351a0b/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/001_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://eec30f7c5e1d97ff6078110427e2f397c117790c/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '002_synth',\n", | |
| " 'recording': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study'}},\n", | |
| " 'result': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://9bbfaf29a8fa2caaaaae09428c32e2e67ad06a1d/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://585f0082b1bc172f2066a616a28649ec62e11e44/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/002_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://0791a3ce0278b89b451b6a08329f5bf3f10439ce/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '003_synth',\n", | |
| " 'recording': {'name': '003_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study'}},\n", | |
| " 'result': {'name': '003_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://215b7a3d7e586b6cffaf3be8d597c48b9d8489e7/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://3d6889c79d3739e197f2cb7321336e985d56c537/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/003_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://6edd7fcde8cf7a3b4e34acc44b4ed7b1372fcc12/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '004_synth',\n", | |
| " 'recording': {'name': '004_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study'}},\n", | |
| " 'result': {'name': '004_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://3dd911c1497c817814e53a9e9efb6617f8ae7aa5/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://cfc451394d14bc0565db5741d50b280cfe72c57e/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/004_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://fc668856dabeecf3d107304dd04af5abae15c6a2/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '005_synth',\n", | |
| " 'recording': {'name': '005_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study'}},\n", | |
| " 'result': {'name': '005_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://3b2f6afccd8ccd11e29d2dd396d518d41bae618a/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://f3c13eccd456fc6b07ed13f9ee7a60a4ecee2961/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/005_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://f659d9608622610f9ae1718aa3834267a17d4611/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '006_synth',\n", | |
| " 'recording': {'name': '006_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study'}},\n", | |
| " 'result': {'name': '006_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://617ec482b19711a72f9fd4a9e4b287efbbb83733/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://d22ca2c00b77d3c0a41b235b621d30fc32e5acb2/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/006_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://71aeb08ec837adeaea0be3940b704b6fe0a07e44/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '007_synth',\n", | |
| " 'recording': {'name': '007_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study'}},\n", | |
| " 'result': {'name': '007_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://a68e747e0e58ab5fae771156dd9ead9cd8de0acd/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://71c2c7e4f6395cb124d11db48a170403164e8782/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/007_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://81a9344cda2ce1797b38f6fbf97ec5a7a0d8f6b2/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '008_synth',\n", | |
| " 'recording': {'name': '008_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/008_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study'}},\n", | |
| " 'result': {'name': '008_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/008_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://161a2c77e54a70e24a3e79b3f3ad74cdc54d83ea/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://1e13be46da9f695ca271b19fc28bae91b0b8204c/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/008_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://7e504287939a6e91169b1427050eeaae33ae04ec/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '009_synth',\n", | |
| " 'recording': {'name': '009_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/009_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study'}},\n", | |
| " 'result': {'name': '009_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/009_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://0004d8645601d035a7de47322088c5645bd84334/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://1b9c6280176d6d053503f041f484e6aebaf480b3/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/009_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://89634b91c9276568eb494804a04c1dab0f9f78b5/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '010_synth',\n", | |
| " 'recording': {'name': '010_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/010_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study'}},\n", | |
| " 'result': {'name': '010_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/010_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://4a236d8fa6cc3006c4395d5f6657f11dc547d494/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://2e4c11d2c67204fb5c2bb74d206e8b57f36e1da8/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C4/010_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://5a0b3dcd8bdc0960ccfd0135481825fcba967ac0/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '001_synth',\n", | |
| " 'recording': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study'}},\n", | |
| " 'result': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://7db0e61286ee5b0bd6a9bc6fb3d319e994b2a786/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://89c9af55436ebd2005492f6b736c015c05340298/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/001_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://89698a8022027753fde0944506cb0b4c3f33b534/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '002_synth',\n", | |
| " 'recording': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study'}},\n", | |
| " 'result': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://90c4ae038af3435c2d78f78089c160357171185b/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://881f24eeedede51375c4b0e9aa7747a2fdcb32d5/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/002_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://d8368585dcb8127a9028412087f111c070b8a781/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '003_synth',\n", | |
| " 'recording': {'name': '003_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study'}},\n", | |
| " 'result': {'name': '003_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://cc083401a11dccdebb47858a0bde6833832dfa1d/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://48e42224e8465ca73fcc6bb28dd3ee4ac7088f15/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/003_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://c7f3b752574fcd08410f56133b4ba3619a64832c/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '004_synth',\n", | |
| " 'recording': {'name': '004_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study'}},\n", | |
| " 'result': {'name': '004_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://f939dba97a9bc29cb26154e43947632fd8b31547/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://fb30522234be00f69f937e8400241487ad5d1c9a/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/004_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://d7327c2d72fab8cedd1dd81bc268f9c3430ea2f5/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '005_synth',\n", | |
| " 'recording': {'name': '005_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study'}},\n", | |
| " 'result': {'name': '005_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://946ffabcaa479d784aeb0d0838fed48fc1f2e786/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://e668f93d4d1ea38b3f5f658cce7fed0376f81d1a/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/005_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://9431ba6d4646e4802d40b68e8a3464bb882c2170/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '006_synth',\n", | |
| " 'recording': {'name': '006_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study'}},\n", | |
| " 'result': {'name': '006_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://ca18f6d650623140116d87c3e09c850264503c78/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://43990c50207faeff6591108486e9e29d2f251f75/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/006_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://a096e50ae3109de71d5c79ddf02a0fc9a2483819/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '007_synth',\n", | |
| " 'recording': {'name': '007_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study'}},\n", | |
| " 'result': {'name': '007_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://1582d3b116287f6d95527fa8f96334a7b3b5e7e1/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://23f5fafea63fb5c66c3675de387fce32bf17cc70/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/007_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://493e1cd28458a956659e08b03e06ea90e32377b4/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '008_synth',\n", | |
| " 'recording': {'name': '008_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/008_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study'}},\n", | |
| " 'result': {'name': '008_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/008_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://48a89c1e5e285662d96bd7eb32b7c68f5b960201/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://b16206bd8ecec238cf4349f6c3921089a3ac3e68/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/008_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://ea55cf6a92a355e8b1a773b4fea0cdf7ff81a030/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '009_synth',\n", | |
| " 'recording': {'name': '009_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/009_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study'}},\n", | |
| " 'result': {'name': '009_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/009_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://1c3406649eb94a4ffa8e806c4dcef0fcf7e6331b/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://9f1e8a562d974bdc94c526b2a0fa2e7cadd15f61/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/009_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://77a0e0ba52c9251c4ed9aab19de3ecde8f21741e/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '010_synth',\n", | |
| " 'recording': {'name': '010_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/010_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study'}},\n", | |
| " 'result': {'name': '010_synth',\n", | |
| " 'study': 'magland_synth_noise10_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/010_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://61f5e44af5e6272d8d14751fb7f354884d1ea6cc/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://ccba2bc84b6820772f9aed9338123c7a49739b0f/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K10_C8/010_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://b1957fe220b1eddb33f875071c0d7a41c81e2b63/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '001_synth',\n", | |
| " 'recording': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study'}},\n", | |
| " 'result': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://80e036ec7254b5017a6111b569eb63bba53eaf2d/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://f83fb0919d728f65ad7374da1fda79acb1c8b6ca/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/001_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://f0eff89150d105d0bd5d6d3b7e69115c0593eab5/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '002_synth',\n", | |
| " 'recording': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study'}},\n", | |
| " 'result': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://34ccf63e7d7d1463d9c5c96004578ff1cf091f8b/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://434c5d882cedd95dc5a7d3c5a300e7721b95759c/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/002_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://b1b512fbb098e8dccabb70a6afe6b67483f5e6de/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '003_synth',\n", | |
| " 'recording': {'name': '003_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study'}},\n", | |
| " 'result': {'name': '003_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://ec208e9c8e80fdbb90b419768c5162f629350079/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://56ebb3466f34191df47b4072c5fcef8e4f49ca8e/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/003_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://7e93ac1771fd461fb55492d7ac6c7a3346bbc844/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '004_synth',\n", | |
| " 'recording': {'name': '004_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study'}},\n", | |
| " 'result': {'name': '004_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://8fd3a1e4cf9fb1540b40cb8fb33f168289f94a86/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://a7d6bfcb8691c0b8d613e0cceaaaeba060ffad55/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/004_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://f9b901e25dca680471e3d1711ff820c3e73c46f0/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '005_synth',\n", | |
| " 'recording': {'name': '005_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study'}},\n", | |
| " 'result': {'name': '005_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://f2b36db421234cbbf1bbf3229f258102d5a1193e/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://8a5abb6fda5f3a20ba991126ce729466e02fd425/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/005_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://0ead3bcd0ec649cd1e1915267acc992de270147e/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '006_synth',\n", | |
| " 'recording': {'name': '006_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study'}},\n", | |
| " 'result': {'name': '006_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://90ca666cf6c76e0a325178666f4b03aa17715ebb/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://1410aa8d0c686201fef29d2f778e5abb49a6d9cb/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/006_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://e7f798d41ee2802a5e8f670ebb1e8c151330db7e/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '007_synth',\n", | |
| " 'recording': {'name': '007_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study'}},\n", | |
| " 'result': {'name': '007_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://9719b327a0e10777d097fc75d8fc4a32c34bb911/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://a5608fa95ff72be63a76da7f7e42078ec4bd80a7/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/007_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://a26213d78fc19a7c5f6f23e2b3ece8180f4c9d94/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '008_synth',\n", | |
| " 'recording': {'name': '008_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/008_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study'}},\n", | |
| " 'result': {'name': '008_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/008_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://28b7c97d5b95033ed034d87810a7f9e4d87971f7/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://6beef3396cf3053c99274e1fc55532986684f703/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/008_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://19ad136823213eab89ab589e4dbb6e79f82faf10/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '009_synth',\n", | |
| " 'recording': {'name': '009_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/009_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study'}},\n", | |
| " 'result': {'name': '009_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/009_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://a8ffd1eddcbc33565c9fdc5b27ff2f88d5f4baf8/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://ab1f955f41353046432a804124bbb3c8b57647c5/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/009_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://0cc7c782798b12f2ab7e068fc79bb46d034ec59e/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '010_synth',\n", | |
| " 'recording': {'name': '010_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/010_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study'}},\n", | |
| " 'result': {'name': '010_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/010_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://b5729f305d2a748a1282d5c90d685ce7b1522f73/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://660bdf17f6827d91dd34c185996b58114107c765/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C4/010_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://95d2bb384280bdceeb4da98348e5f4de53f97306/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '001_synth',\n", | |
| " 'recording': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study'}},\n", | |
| " 'result': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://3e75c0772b1af9f7fc98a6d7ff30113822a32312/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://c956c3147875e1422ae3318c199e20a6f10246e1/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/001_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://2a9a3ca50b6e14916e123839a3588ac4f1101a9e/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '002_synth',\n", | |
| " 'recording': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study'}},\n", | |
| " 'result': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://0b1ebfcf17f30a852c703a166497df0eb15d3a81/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://692ae3a54356bfd0d698fdd52bb1cb4120364a06/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/002_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://e418d61a84203d1a86874d69cc27ce0ff9ff7c73/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '003_synth',\n", | |
| " 'recording': {'name': '003_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study'}},\n", | |
| " 'result': {'name': '003_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://d06be7b007b9eca31647ae04dc134bb2fbd6c00e/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://71f61ececa756b9151887014ef393da183778e88/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/003_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://395049c36d1f5159efdafdf2bb821bebea4aeb37/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '004_synth',\n", | |
| " 'recording': {'name': '004_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study'}},\n", | |
| " 'result': {'name': '004_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://1caa6458470d3781a8938c3e95fd20b724c172d2/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://9eee7eb9c63f5f863fc0e89bb8cdd83e0724e817/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/004_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://cd5057e554d0e8e4ba882c1da7510bc04e822f3a/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study'}},\n", | |
| " 'result': {'name': '005_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://4fb365669ae4037490fcb6315545ed32f0a00005/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://2b257a73d3f3de5e864d9fc4ae0fc74a60398703/waveforms.jpg'},\n", | |
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| " 'true_units_info': 'sha1://0e3874119c89a68c6130b3dfada4919c55e9e9be/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '006_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study'}},\n", | |
| " 'result': {'name': '006_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://65ffa9898f997df9ef0418c17a7cfa3ac23b8a15/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://a4b64732242d25847f5ca3cab944bdf5dda0ac2f/waveforms.jpg'},\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '007_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study'}},\n", | |
| " 'result': {'name': '007_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://20a17bcaaac19dcb9bb2f987ea938fca3b4f9390/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://a8221887d86996c84fa57f3dee7d4aaa85b25888/waveforms.jpg'},\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '008_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/008_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study'}},\n", | |
| " 'result': {'name': '008_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/008_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://1be3f9a24edea302dd60dfe343b299d3b4fc7392/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://a1fe8ae75cf342994be7608fc7dabffabfc45f29/waveforms.jpg'},\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '009_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/009_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study'}},\n", | |
| " 'result': {'name': '009_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/009_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
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| " 'plots': {'timeseries': 'sha1://5bd64b64683ae7d2488d58e683277b6a1cba655c/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://d9c916d74a6e9becabd9301ea743b6bc041118e7/waveforms.jpg'},\n", | |
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| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
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| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study'}},\n", | |
| " 'result': {'name': '010_synth',\n", | |
| " 'study': 'magland_synth_noise10_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise10_K20_C8/010_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise10_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
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| " 'plots': {'timeseries': 'sha1://28c4f63269ccee97e4d128eb091898023100b9b6/timeseries.jpg',\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study'}},\n", | |
| " 'result': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
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| " 'plots': {'timeseries': 'sha1://5f1f2bb4cd86df75cb95c629dddad8e54accb6e3/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://ecff346ba7a8b2e566716dd0e6271acf99ff073b/waveforms.jpg'},\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '002_synth',\n", | |
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| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study'}},\n", | |
| " 'result': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
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| " 'plots': {'timeseries': 'sha1://2c7dee943096e98c7cdad98611c37afae3ae0fa8/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://717dbb163826ea2c3342d0c039ff3e834700e784/waveforms.jpg'},\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '003_synth',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study'}},\n", | |
| " 'result': {'name': '003_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
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| " 'plots': {'timeseries': 'sha1://d04e3cca681ce6d7632e05e45628ab158784ea3a/timeseries.jpg',\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '004_synth',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study'}},\n", | |
| " 'result': {'name': '004_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
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| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://def70c57917df18e136a4daba6f0f0d6485901ff/timeseries.jpg',\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '005_synth',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study'}},\n", | |
| " 'result': {'name': '005_synth',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://b9767dba91bd6d449f21348b8876cbfac0538996/timeseries.jpg',\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study'}},\n", | |
| " 'result': {'name': '006_synth',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://edcddfe97513450afa43a524917e418454269d32/timeseries.jpg',\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '007_synth',\n", | |
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| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study'}},\n", | |
| " 'result': {'name': '007_synth',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://aa72a785b4c845224e6d67c94e5551002fa9303c/timeseries.jpg',\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '008_synth',\n", | |
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| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study'}},\n", | |
| " 'result': {'name': '008_synth',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/008_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'study': 'magland_synth_noise20_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/009_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study'}},\n", | |
| " 'result': {'name': '009_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/009_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://813d15b2d87b3095a5ade2eb86e086441c4e430a/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://9ea1e01af0fd90dac8595503f1603c69cb25a921/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/009_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://b2f67b4c48ecd194de3f86c529502d506934d28a/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '010_synth',\n", | |
| " 'recording': {'name': '010_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/010_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study'}},\n", | |
| " 'result': {'name': '010_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/010_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://8c3adc1bb5d1ae38535fb016f83a88c991f2c18d/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://1ffb98f5d21e45261ff36e1f620adc18bb6ccdfc/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C4/010_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://a40fcf6fbbe537006480de36683b7ff8fcafe265/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '001_synth',\n", | |
| " 'recording': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study'}},\n", | |
| " 'result': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://8639351da0a736dd1a9808fd0add41890a59c39a/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://63927e98330c6336d65e591dbc7afd153861effd/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/001_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://3babae289da3f2a3d1254c598a78e99a27e354b4/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '002_synth',\n", | |
| " 'recording': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study'}},\n", | |
| " 'result': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://256eab3bffa3b72bda23cf0da3e815f41313427b/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://f69d17bf0622fdef09fdf9b408d9bfa99e686a0c/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/002_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://5ec83b64d5b1bd2695e06a7800f26541f3cc4eac/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '003_synth',\n", | |
| " 'recording': {'name': '003_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study'}},\n", | |
| " 'result': {'name': '003_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://4f815b6d6ba600f91f433cfd646a543d79b33668/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://c12deb452333fdb69c411b7995b1b709f106e10a/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/003_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://7129cec659047041a3a1286b759b2af1aaec1179/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '004_synth',\n", | |
| " 'recording': {'name': '004_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study'}},\n", | |
| " 'result': {'name': '004_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://101dc11cbdaff9089a550695a6a5cc35fa73551f/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://c09da526923f8b23398089e8b2013c3b7986be58/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/004_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://a41bab216ffdb9790814e54612a2cee5cb2fea3c/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '005_synth',\n", | |
| " 'recording': {'name': '005_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study'}},\n", | |
| " 'result': {'name': '005_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://5c906fa41101bd40b45899297aa87349ab76181a/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://b43785931a6dd9bff9605818a063c6e2c5477318/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/005_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://ca50aa9cf2b2ea02a4d58bad3e530f1e0168e214/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '006_synth',\n", | |
| " 'recording': {'name': '006_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study'}},\n", | |
| " 'result': {'name': '006_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://a00aa83db51014e11639133528ce5326d0f1d293/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://614427bd94d9f0bf5fb73c9d0fd001d415880433/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/006_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://51a9f84e6e858ab21a04ac64fcce3a397ee9fa40/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '007_synth',\n", | |
| " 'recording': {'name': '007_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study'}},\n", | |
| " 'result': {'name': '007_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://69f4f11ecea3d3f2c549b2a450a37a72519dfd21/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://a75c817951f86338a7f83cdd18ca65e08c74e4fe/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/007_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://9c1bf77488a54dfdc747d8a0c592a06445ab9668/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '008_synth',\n", | |
| " 'recording': {'name': '008_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/008_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study'}},\n", | |
| " 'result': {'name': '008_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/008_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://f07dcb3b7a78bae9b2eb109d019a22db3cc889fa/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://7abb73e6cafc6ca9f194cf075ee3c7f38f8f7b2d/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/008_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://ecbfb49cb16cf06b78b76c53fffb7db72645cb66/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '009_synth',\n", | |
| " 'recording': {'name': '009_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/009_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study'}},\n", | |
| " 'result': {'name': '009_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/009_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://5932a02b9a6bd883ed1587e945938ca97ba4ac0c/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://cb855c614f408f7061a179d03e95393608ebe90e/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/009_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://04b2ec40e76169e2ae5fd64285f176e59518b9c5/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '010_synth',\n", | |
| " 'recording': {'name': '010_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/010_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study'}},\n", | |
| " 'result': {'name': '010_synth',\n", | |
| " 'study': 'magland_synth_noise20_K10_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/010_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K10_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://838e108f4e17776a60f237bce806a4ed93b6a90f/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://80ecd745adf3ebbc6ec5ad2aa6044999178243db/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K10_C8/010_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://7be7116838ccf3f3ff1896e23fc6ff74c50c830d/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '001_synth',\n", | |
| " 'recording': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study'}},\n", | |
| " 'result': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://f4ba57ee2ae0e64c1f877812efdcce7a99cbfa01/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://5cd73cfdf4ff1586ad905578d4f4ef4160b5b92d/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/001_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://3b6da3d88a98f49ceb4dfd76e74296bccccd9e56/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '002_synth',\n", | |
| " 'recording': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study'}},\n", | |
| " 'result': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://798728255a4933c39d8424e5e5e610d5fa1c3c18/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://a3143ab4c5e05cfdf4f7de44157624985dbc695d/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/002_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://2a62d13fcd464390ed5d9587b796e831b5f92820/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '003_synth',\n", | |
| " 'recording': {'name': '003_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study'}},\n", | |
| " 'result': {'name': '003_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://2c6038869a3c60a0ea5cb83112704f09086bfd96/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://4d6599eff26a242e8fd154040d5fa58d521e5e38/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/003_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://b1476f92eb63bea33a1b77a7a8c62333f2918bb1/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '004_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study'}},\n", | |
| " 'result': {'name': '004_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://f921f65ec7e8a1fc8660b0e9d3964bcc2d7d02c8/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://2a37097120240b5e9cc26dba7cb6ab8b9262fc89/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/004_synth/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://012732ed6b6e69e7ef3d7c48e436c3667c5de69e/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '005_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study'}},\n", | |
| " 'result': {'name': '005_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://4e7c1de90f76fde4285e877248d0d6e280a0d855/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://7b6219e8783d3851ca4b64b6b264561ad3eb115d/waveforms.jpg'},\n", | |
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| " 'true_units_info': 'sha1://78aca42ee03def77da7b7d501f73992d9c69ea6d/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '006_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study'}},\n", | |
| " 'result': {'name': '006_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://fa4f0109e14f77d520a9ea509d67be027af5d99e/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://dc2de533d3024fb8ffbab61abfa53d294442cc1c/waveforms.jpg'},\n", | |
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| " 'true_units_info': 'sha1://3c59e7ab08b07d09361e3ae5e2716486c74f1e6b/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '007_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study'}},\n", | |
| " 'result': {'name': '007_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://c88f375dcaf21df87750fe67f80aae07433bc27e/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://625ba8c58a7f89bd3cb74c449528ab5cb617e224/waveforms.jpg'},\n", | |
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| " 'true_units_info': 'sha1://2cebc78cd92c1eb4d010c7e3555babc0a747218d/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '008_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/008_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study'}},\n", | |
| " 'result': {'name': '008_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/008_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://2a1f54e93517ac37f6c69d58298c9094e8146339/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://f54168a9e235dc2a6b662c0456c7c2f28b942e98/waveforms.jpg'},\n", | |
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| " 'true_units_info': 'sha1://ae6477cc33f2c4183799b2bca904a0c005439e34/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '009_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/009_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study'}},\n", | |
| " 'result': {'name': '009_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/009_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://2449f8d4d3d4a9b36277f8e67eb6d4c559fb07bb/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://7083e6083a5fe9891f81f8d19a8dfa524edd5a8c/waveforms.jpg'},\n", | |
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| " 'true_units_info': 'sha1://d7f1af27005b6074e47f5a783fdb533253527e4f/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '010_synth',\n", | |
| " 'recording': {'name': '010_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/010_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study'}},\n", | |
| " 'result': {'name': '010_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C4',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C4/010_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C4 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://4248e0cb220bf6ecfdfc38dabd897f164de9d278/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://e54d2a779df8aeb801df30c4c6a398753a604812/waveforms.jpg'},\n", | |
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| " 'true_units_info': 'sha1://252b6374fbc70138a0255cd268ca4c62b44f5736/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C8/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C8 study'}},\n", | |
| " 'result': {'name': '001_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C8/001_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://e257570b22534a25aee53cf22eff904b017da929/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://f0a9a3d22ead0c897c19c1912a14a0ad9f5b3361/waveforms.jpg'},\n", | |
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| " 'true_units_info': 'sha1://13dab73af2d20b26d38e6c2a8fad67b736408fee/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C8/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C8 study'}},\n", | |
| " 'result': {'name': '002_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C8/002_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://b9f99ffb415fc20555faa28bec4feba607597ca5/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://93b2cd2ccfb037d201da510c6c3b4c5c5cdf468e/waveforms.jpg'},\n", | |
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| " 'true_units_info': 'sha1://7ee893fe24b93fb614e50622cf1311487c63b06a/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '003_synth',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C8/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C8 study'}},\n", | |
| " 'result': {'name': '003_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C8/003_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://9eefaa7eb1fc723f998b0aa2dfca67e8c55be6bc/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://58c22bccd5666db2adf21296b88b5c32ad75b38b/waveforms.jpg'},\n", | |
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| " 'true_units_info': 'sha1://abc131ced4ee9b0c6c8d8e7abddb2ac7b2f684d6/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '004_synth',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C8/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C8 study'}},\n", | |
| " 'result': {'name': '004_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C8/004_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://1ed8e8dde68efb9a8ba8f157ec10f3060c8ed6c8/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://f2206d1b7ddc5f172fbc3486a8dc6a342670ef48/waveforms.jpg'},\n", | |
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| " 'true_units_info': 'sha1://b5cfb7820fee549afe7d422e667ef5f505ce72f2/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '005_synth',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C8/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C8 study'}},\n", | |
| " 'result': {'name': '005_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C8/005_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://efe0db0d136aa18ac61c7bc5f429134516f869b8/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://396f23a310ad5541401b8424906f46e7557280aa/waveforms.jpg'},\n", | |
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| " 'true_units_info': 'sha1://1e47af6314e993c8f546b8594fdcf90d82674d4b/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '006_synth',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C8/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C8 study'}},\n", | |
| " 'result': {'name': '006_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C8/006_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 8,\n", | |
| " 'duration_sec': 600.0},\n", | |
| " 'plots': {'timeseries': 'sha1://2655003c1bb330a1cde144445ee1370c88ee3724/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://0a01124774a7a6639b41b20dded67b1637be4b70/waveforms.jpg'},\n", | |
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| " 'true_units_info': 'sha1://f2607726c453ce5ca7a60d106de6584c7f2aa1b4/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'recording': {'name': '007_synth',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C8/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C8 study'}},\n", | |
| " 'result': {'name': '007_synth',\n", | |
| " 'study': 'magland_synth_noise20_K20_C8',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/magland_synth/datasets_noise20_K20_C8/007_synth',\n", | |
| " 'description': 'One of the recordings in the magland_synth_noise20_K20_C8 study',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
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| " 'description': 'One of the recordings in the mea256yger---- study',\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
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| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170627_patch1',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study',\n", | |
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| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '20170629_patch2',\n", | |
| " 'recording': {'name': '20170629_patch2',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170629_patch2',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study'}},\n", | |
| " 'result': {'name': '20170629_patch2',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170629_patch2',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 252,\n", | |
| " 'duration_sec': 300.0},\n", | |
| " 'plots': {'timeseries': 'sha1://e6ad449ff7322fbd01892879c3822bf0ca14cf8c/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://3fdfcf20c379c655536162f6da3613a1dc9345f0/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170629_patch2/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://5c49da9a0184294bfb7314e55be7e88538f49a89/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '20170629_patch3',\n", | |
| " 'recording': {'name': '20170629_patch3',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170629_patch3',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study'}},\n", | |
| " 'result': {'name': '20170629_patch3',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170629_patch3',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 252,\n", | |
| " 'duration_sec': 300.0},\n", | |
| " 'plots': {'timeseries': 'sha1://83b76012e9715992c961dd58c66e423be8813e1c/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://cba7f35109c178555dde43531d6019daa239bcd1/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170629_patch3/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://1fe83f067e867e2a3b59b97b28d6fe194329a681/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '20170630_patch1',\n", | |
| " 'recording': {'name': '20170630_patch1',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170630_patch1',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study'}},\n", | |
| " 'result': {'name': '20170630_patch1',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170630_patch1',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 252,\n", | |
| " 'duration_sec': 300.0},\n", | |
| " 'plots': {'timeseries': 'sha1://9d2e89af49dae8e59fe49e47e32728a1e1cec34f/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://89f39a748a1348f00ea832d7868d1a089bc92835/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170630_patch1/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://dec2c932d5b5937c108cc76c1ac67dec71a5165e/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '20170706_patch1',\n", | |
| " 'recording': {'name': '20170706_patch1',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170706_patch1',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study'}},\n", | |
| " 'result': {'name': '20170706_patch1',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170706_patch1',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 252,\n", | |
| " 'duration_sec': 300.0},\n", | |
| " 'plots': {'timeseries': 'sha1://defe3f3759dc8a4e3d3f87802b6e23dd23bc8a7c/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://30f340e911cc3055a2a2ad2ef3b334564844847c/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170706_patch1/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://95787b47599b76864bd3f04390b6d4791a512207/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '20170706_patch2',\n", | |
| " 'recording': {'name': '20170706_patch2',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170706_patch2',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study'}},\n", | |
| " 'result': {'name': '20170706_patch2',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170706_patch2',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 252,\n", | |
| " 'duration_sec': 300.0},\n", | |
| " 'plots': {'timeseries': 'sha1://b253db8542e735d33f64be062d1cc2d90ebd8dee/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://e7028b6d3be3d5f6ac2c6adefb2a3108eb9adad1/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170706_patch2/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://e047bf6a3d580713ae5259cf7d0a68a9b9c5c069/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '20170706_patch3',\n", | |
| " 'recording': {'name': '20170706_patch3',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170706_patch3',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study'}},\n", | |
| " 'result': {'name': '20170706_patch3',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170706_patch3',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 252,\n", | |
| " 'duration_sec': 300.0},\n", | |
| " 'plots': {'timeseries': 'sha1://8b0f8a9edf6083d44c952cf57479d1416da6a332/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://728f8f23cc6ff53cf00a750a2ced8e1ce66306df/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170706_patch3/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://3951173c105bdae2bcc3553f15afb8208a2103c3/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '20170713_patch1',\n", | |
| " 'recording': {'name': '20170713_patch1',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170713_patch1',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study'}},\n", | |
| " 'result': {'name': '20170713_patch1',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170713_patch1',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 252,\n", | |
| " 'duration_sec': 300.0},\n", | |
| " 'plots': {'timeseries': 'sha1://93cfd2a06ee257e9cd332866a3115cc785141514/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://1deae46dfad74aeaee2fd9f60e523e1ad2b2e7c3/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170713_patch1/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://b1a3bce2841025aa6ae73164ed5e6505bdf41ed0/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '20170725_patch1',\n", | |
| " 'recording': {'name': '20170725_patch1',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170725_patch1',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study'}},\n", | |
| " 'result': {'name': '20170725_patch1',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170725_patch1',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 252,\n", | |
| " 'duration_sec': 300.0},\n", | |
| " 'plots': {'timeseries': 'sha1://217946133ea8da0f526ed1e840f5372a15bb2d5f/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://5de6d9edf3124e6ca5b0b24a8c05011cc9bfe246/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170725_patch1/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://e64ef564a4391e3c5321d3f45d9356f7e0fd5e3b/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '20170726_patch1',\n", | |
| " 'recording': {'name': '20170726_patch1',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170726_patch1',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study'}},\n", | |
| " 'result': {'name': '20170726_patch1',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170726_patch1',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 252,\n", | |
| " 'duration_sec': 300.0},\n", | |
| " 'plots': {'timeseries': 'sha1://2a6c3b8ce9b71a55aed62f8c02e263d614b8005e/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://a3ba2acb61bb2ec9e7dc10c2a3d0ac3c3597d673/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170726_patch1/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://983bd33d47fa0f4a7063a5cd6c3e4e6394e793ed/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '20170728_patch2',\n", | |
| " 'recording': {'name': '20170728_patch2',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170728_patch2',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study'}},\n", | |
| " 'result': {'name': '20170728_patch2',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170728_patch2',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 252,\n", | |
| " 'duration_sec': 300.0},\n", | |
| " 'plots': {'timeseries': 'sha1://5caa16f6bda82e42d1168206b70f2ffe994582e7/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://9ab060de2a1b441f854315215af441c6d867e7f8/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170728_patch2/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://77b67c239d82e5be70fa2fc76652047434d176ef/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': '20170803_patch1',\n", | |
| " 'recording': {'name': '20170803_patch1',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170803_patch1',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study'}},\n", | |
| " 'result': {'name': '20170803_patch1',\n", | |
| " 'study': 'mea256yger----',\n", | |
| " 'directory': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170803_patch1',\n", | |
| " 'description': 'One of the recordings in the mea256yger---- study',\n", | |
| " 'computed_info': {'samplerate': 20000.0,\n", | |
| " 'num_channels': 252,\n", | |
| " 'duration_sec': 300.0},\n", | |
| " 'plots': {'timeseries': 'sha1://0b8d1ff75bc122fa159dfa4e7fc336c3c95989d2/timeseries.jpg',\n", | |
| " 'waveforms_true': 'sha1://84f2969a10e9dd4cf39d6bfdf5071a27fa6e5d8e/waveforms.jpg'},\n", | |
| " 'firings_true': 'kbucket://15734439d8cf/groundtruth/paired_recordings/mea256yger/20170803_patch1/firings_true.mda',\n", | |
| " 'true_units_info': 'sha1://00a2a8584a7a4ccabf25f2d677aefe8f84fb43d3/true_units_info.json'}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'M5_2018-03-06_15-34-44-tetrode0',\n", | |
| " 'recording': {'name': 'M5_2018-03-06_15-34-44-tetrode0',\n", | |
| " 'study': 'testing',\n", | |
| " 'directory': 'kbucket://15734439d8cf/testing/M5_2018-03-06_15-34-44',\n", | |
| " 'channels': [3, 4, 5, 6],\n", | |
| " 'description': 'One of the recordings in the testing study (tetrode=0)'}},\n", | |
| " 'result': {'name': 'M5_2018-03-06_15-34-44-tetrode0',\n", | |
| " 'study': 'testing',\n", | |
| " 'directory': 'kbucket://15734439d8cf/testing/M5_2018-03-06_15-34-44',\n", | |
| " 'channels': [3, 4, 5, 6],\n", | |
| " 'description': 'One of the recordings in the testing study (tetrode=0)',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 1928.3968},\n", | |
| " 'plots': {'timeseries': 'sha1://3a4f0316fd0c19452c0e3ce767ecec6adc77790c/timeseries.jpg'}}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'M5_2018-03-06_15-34-44-tetrode1',\n", | |
| " 'recording': {'name': 'M5_2018-03-06_15-34-44-tetrode1',\n", | |
| " 'study': 'testing',\n", | |
| " 'directory': 'kbucket://15734439d8cf/testing/M5_2018-03-06_15-34-44',\n", | |
| " 'channels': [7, 8, 9, 10],\n", | |
| " 'description': 'One of the recordings in the testing study (tetrode=1)'}},\n", | |
| " 'result': {'name': 'M5_2018-03-06_15-34-44-tetrode1',\n", | |
| " 'study': 'testing',\n", | |
| " 'directory': 'kbucket://15734439d8cf/testing/M5_2018-03-06_15-34-44',\n", | |
| " 'channels': [7, 8, 9, 10],\n", | |
| " 'description': 'One of the recordings in the testing study (tetrode=1)',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 1928.3968},\n", | |
| " 'plots': {'timeseries': 'sha1://9069e1ce8c1059f327169f7532e3018ae58c5789/timeseries.jpg'}}},\n", | |
| " {'job': {'command': 'summarize_recording',\n", | |
| " 'label': 'M5_2018-03-06_15-34-44-tetrode2',\n", | |
| " 'recording': {'name': 'M5_2018-03-06_15-34-44-tetrode2',\n", | |
| " 'study': 'testing',\n", | |
| " 'directory': 'kbucket://15734439d8cf/testing/M5_2018-03-06_15-34-44',\n", | |
| " 'channels': [11, 12, 13, 14],\n", | |
| " 'description': 'One of the recordings in the testing study (tetrode=2)'}},\n", | |
| " 'result': {'name': 'M5_2018-03-06_15-34-44-tetrode2',\n", | |
| " 'study': 'testing',\n", | |
| " 'directory': 'kbucket://15734439d8cf/testing/M5_2018-03-06_15-34-44',\n", | |
| " 'channels': [11, 12, 13, 14],\n", | |
| " 'description': 'One of the recordings in the testing study (tetrode=2)',\n", | |
| " 'computed_info': {'samplerate': 30000.0,\n", | |
| " 'num_channels': 4,\n", | |
| " 'duration_sec': 1928.3968},\n", | |
| " 'plots': {'timeseries': 'sha1://752a1e34d49841e4699abbcbf96fdd4edfdcbe7a/timeseries.jpg'}}}]}" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "id": "yFNnnd-Qtj8P", | |
| "colab_type": "code", | |
| "outputId": "08aff362-803a-412d-dfeb-9978f34a8692", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 139 | |
| } | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "# Load the SpikeForest data\n", | |
| "\n", | |
| "sf.kbucketConfigRemote(share_id='spikeforest.spikeforest1',write=False)\n", | |
| "SF=sf.SFData()\n", | |
| "SF.loadRecordings(key=dict(name='spikeforest_recordings'))\n", | |
| "SF.loadProcessingBatch(key=dict(batch_name='summarize_recordings',name='job_results'))\n", | |
| "SF.loadProcessingBatch(key=dict(batch_name='ms4_magland_synth_dev3',name=\"job_results\"))\n", | |
| "SF.loadProcessingBatch(key=dict(batch_name='irc_magland_synth_dev3',name=\"job_results\"))\n", | |
| "SF.loadProcessingBatch(key=dict(batch_name='sc_magland_synth_dev3',name=\"job_results\"))\n", | |
| "\n", | |
| "SF.loadProcessingBatch(key=dict(batch_name='irc_bionet',name=\"job_results\"))" | |
| ], | |
| "execution_count": 70, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Loaded 0 sorting results and 158 recording summary results\n", | |
| "Loaded 40 sorting results and 0 recording summary results\n", | |
| "Loaded 40 sorting results and 0 recording summary results\n", | |
| "Downloading file --- (0.0 MB): http://132.249.245.245:24351/7317cea8265b/download/e/9f/e9f87b301e788d96663288347ea0c479f7a202f8 -> /home/magland/kbucket_cache/e/9f/e9f87b301e788d96663288347ea0c479f7a202f8\n", | |
| "Loaded 40 sorting results and 0 recording summary results\n", | |
| "Loaded 12 sorting results and 0 recording summary results\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "id": "syRd5nB4wLqL", | |
| "colab_type": "code", | |
| "outputId": "d932df98-8304-465f-f7de-e2fb9e32a256", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 88 | |
| } | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "# Display the study names\n", | |
| "display(', '.join(SF.studyNames()))\n", | |
| "\n", | |
| "# Load a study and display the dataset names\n", | |
| "study=SF.study('magland_synth_noise20_K20_C4')\n", | |
| "#study=SF.study('bionet_static')\n", | |
| "display(', '.join(study.recordingNames()))\n", | |
| "\n", | |
| "# Load a recording and display the sorting results\n", | |
| "R=study.recording('001_synth')\n", | |
| "#R=study.recording('static_8x_A_2A')\n", | |
| "display(', '.join(R.sortingResultNames()))\n" | |
| ], | |
| "execution_count": 71, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "'bionet_drift, bionet_shuffle, bionet_static, magland_synth_noise10_K10_C4, magland_synth_noise10_K10_C8, magland_synth_noise10_K20_C4, magland_synth_noise10_K20_C8, magland_synth_noise20_K10_C4, magland_synth_noise20_K10_C8, magland_synth_noise20_K20_C4, magland_synth_noise20_K20_C8, boyden----, kampff----, mea256yger----, testing'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "'001_synth, 002_synth, 003_synth, 004_synth, 005_synth, 006_synth, 007_synth, 008_synth, 009_synth, 010_synth'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "'MountainSort4-thr3, IronClust-tetrode, SpykingCircus'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "id": "ZM0Krmuttp6U", | |
| "colab_type": "code", | |
| "outputId": "f049469f-d564-4c80-8711-9a9749c32ccb", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 1727 | |
| } | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "# display the summary plots\n", | |
| "display(R.plot('timeseries'))\n", | |
| "display(R.plot('waveforms_true'))" | |
| ], | |
| "execution_count": 72, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1200x500 at 0x7FD5C6321B70>" | |
| ], | |
| "image/png": 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\n" | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| } | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1510x1210 at 0x7FD5C6321BA8>" | |
| ], | |
| "image/png": 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