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October 7, 2022 21:40
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PR 824 Review for Echopype with OOI Dataset
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "6e7176de-5498-4689-bbfd-8f799a9eb8ce", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:40:57.159747Z", | |
| "iopub.status.busy": "2022-10-07T20:40:57.158803Z", | |
| "iopub.status.idle": "2022-10-07T20:40:57.599422Z", | |
| "shell.execute_reply": "2022-10-07T20:40:57.598809Z", | |
| "shell.execute_reply.started": "2022-10-07T20:40:57.159631Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "from dask.distributed import LocalCluster, Client\n", | |
| "import dask" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "id": "c50ebb90-a6e8-450b-b958-3b9df77b9eee", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:40:57.600817Z", | |
| "iopub.status.busy": "2022-10-07T20:40:57.600318Z", | |
| "iopub.status.idle": "2022-10-07T20:40:58.916960Z", | |
| "shell.execute_reply": "2022-10-07T20:40:58.916391Z", | |
| "shell.execute_reply.started": "2022-10-07T20:40:57.600796Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "2022-10-07 13:40:58,653 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/dask-worker-space/worker-3rzpod9f', purging\n", | |
| "2022-10-07 13:40:58,653 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/dask-worker-space/worker-aotg0c18', purging\n", | |
| "2022-10-07 13:40:58,653 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/dask-worker-space/worker-x_n5m7io', purging\n", | |
| "2022-10-07 13:40:58,653 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/dask-worker-space/worker-optl_bwa', purging\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "cluster = LocalCluster()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "id": "0a51c4fd-b02f-4899-9d00-74471bd2e7f1", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:40:58.918617Z", | |
| "iopub.status.busy": "2022-10-07T20:40:58.918205Z", | |
| "iopub.status.idle": "2022-10-07T20:40:58.929482Z", | |
| "shell.execute_reply": "2022-10-07T20:40:58.928582Z", | |
| "shell.execute_reply.started": "2022-10-07T20:40:58.918593Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "client = Client(cluster)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "id": "7b84ab30-8cda-4af6-908c-8d377e1ab272", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:40:58.931978Z", | |
| "iopub.status.busy": "2022-10-07T20:40:58.931693Z", | |
| "iopub.status.idle": "2022-10-07T20:40:59.630350Z", | |
| "shell.execute_reply": "2022-10-07T20:40:59.629710Z", | |
| "shell.execute_reply.started": "2022-10-07T20:40:58.931959Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import fsspec\n", | |
| "import datetime as dt\n", | |
| "from dateutil import parser as dtparser\n", | |
| "import itertools as it\n", | |
| "from pathlib import Path\n", | |
| "import echopype as ep\n", | |
| "import os\n", | |
| "import traceback\n", | |
| "import json\n", | |
| "import asyncio" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "id": "768dbf5b-8a57-470f-9835-675f0213b255", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:40:59.631509Z", | |
| "iopub.status.busy": "2022-10-07T20:40:59.631224Z", | |
| "iopub.status.idle": "2022-10-07T20:40:59.638549Z", | |
| "shell.execute_reply": "2022-10-07T20:40:59.637161Z", | |
| "shell.execute_reply.started": "2022-10-07T20:40:59.631440Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "def parse_exception(exception):\n", | |
| " exc_dict = {\n", | |
| " 'type': type(exception).__name__,\n", | |
| " 'value': str(exception),\n", | |
| " 'traceback': \"\".join(\n", | |
| " traceback.format_exception(\n", | |
| " type(exception), exception, exception.__traceback__\n", | |
| " )\n", | |
| " ),\n", | |
| " }\n", | |
| " return exc_dict" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "id": "d964b09b-6f3c-474e-8aaa-8569e0173479", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:40:59.640660Z", | |
| "iopub.status.busy": "2022-10-07T20:40:59.640401Z", | |
| "iopub.status.idle": "2022-10-07T20:40:59.652811Z", | |
| "shell.execute_reply": "2022-10-07T20:40:59.652005Z", | |
| "shell.execute_reply.started": "2022-10-07T20:40:59.640628Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "'0.6.1.dev187+ga3b3f7f'" | |
| ] | |
| }, | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "ep.__version__" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "id": "1e51af37-e04d-4b36-a8a6-a079d55bbeba", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:40:59.654190Z", | |
| "iopub.status.busy": "2022-10-07T20:40:59.653837Z", | |
| "iopub.status.idle": "2022-10-07T20:40:59.787189Z", | |
| "shell.execute_reply": "2022-10-07T20:40:59.786648Z", | |
| "shell.execute_reply.started": "2022-10-07T20:40:59.654157Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "fs = fsspec.filesystem('https')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "id": "85a6c27e-e4b3-4154-ac89-9f1f6c251143", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:40:59.788238Z", | |
| "iopub.status.busy": "2022-10-07T20:40:59.788014Z", | |
| "iopub.status.idle": "2022-10-07T20:40:59.791821Z", | |
| "shell.execute_reply": "2022-10-07T20:40:59.791102Z", | |
| "shell.execute_reply.started": "2022-10-07T20:40:59.788218Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "ooi_raw_url = (\n", | |
| " \"https://rawdata.oceanobservatories.org/files/\"\n", | |
| " \"CE04OSPS/PC01B/ZPLSCB102_10.33.10.143/2017/08\"\n", | |
| ")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "id": "86a4fd2a-46da-4eec-af0d-f7c37071cfd0", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:40:59.793061Z", | |
| "iopub.status.busy": "2022-10-07T20:40:59.792831Z", | |
| "iopub.status.idle": "2022-10-07T20:40:59.854366Z", | |
| "shell.execute_reply": "2022-10-07T20:40:59.853737Z", | |
| "shell.execute_reply.started": "2022-10-07T20:40:59.793041Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "def in_range(raw_file: str, start: dt.datetime, end: dt.datetime) -> bool:\n", | |
| " \"\"\"Check if file url is in datetime range\"\"\"\n", | |
| " file_name = Path(raw_file).name\n", | |
| " file_datetime = dtparser.parse(file_name, fuzzy=True)\n", | |
| " return file_datetime >= start and file_datetime <= end" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "id": "90f904a9-4c34-48aa-953b-6a62acdc3af2", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:40:59.855440Z", | |
| "iopub.status.busy": "2022-10-07T20:40:59.855224Z", | |
| "iopub.status.idle": "2022-10-07T20:40:59.860862Z", | |
| "shell.execute_reply": "2022-10-07T20:40:59.860433Z", | |
| "shell.execute_reply.started": "2022-10-07T20:40:59.855421Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "start_datetime = dt.datetime(2017, 8, 1, 0, 0)\n", | |
| "end_datetime = dt.datetime(2017, 8, 31, 23, 59)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "id": "3d139595-11df-413b-8830-5a8a86503da2", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:40:59.862160Z", | |
| "iopub.status.busy": "2022-10-07T20:40:59.861672Z", | |
| "iopub.status.idle": "2022-10-07T20:40:59.868250Z", | |
| "shell.execute_reply": "2022-10-07T20:40:59.867573Z", | |
| "shell.execute_reply.started": "2022-10-07T20:40:59.862130Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "desired_day_urls = [f\"{ooi_raw_url}/{day}\" for day in range(start_datetime.day, end_datetime.day + 1)]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "id": "11aa4d96-07dc-4c13-aaa3-5a3e1eee03e9", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:40:59.869213Z", | |
| "iopub.status.busy": "2022-10-07T20:40:59.869031Z", | |
| "iopub.status.idle": "2022-10-07T20:41:02.302959Z", | |
| "shell.execute_reply": "2022-10-07T20:41:02.301929Z", | |
| "shell.execute_reply.started": "2022-10-07T20:40:59.869179Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "all_raw_file_urls = it.chain.from_iterable([fs.glob(f\"{day_url}/*.raw\") for day_url in desired_day_urls])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "id": "9a219571-2152-48c1-83c8-079ce836a543", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:41:02.306485Z", | |
| "iopub.status.busy": "2022-10-07T20:41:02.306214Z", | |
| "iopub.status.idle": "2022-10-07T20:41:02.344973Z", | |
| "shell.execute_reply": "2022-10-07T20:41:02.344151Z", | |
| "shell.execute_reply.started": "2022-10-07T20:41:02.306462Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "There are 318 raw files within the specified datetime range.\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "desired_raw_file_urls = list(filter(\n", | |
| " lambda raw_file: in_range(\n", | |
| " raw_file, \n", | |
| " start_datetime-dt.timedelta(hours=3), # 3 hour buffer to select files\n", | |
| " end_datetime+dt.timedelta(hours=3)\n", | |
| " ), \n", | |
| " all_raw_file_urls\n", | |
| "))\n", | |
| "\n", | |
| "\n", | |
| "print(f\"There are {len(desired_raw_file_urls)} raw files within the specified datetime range.\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "id": "2308786d-553e-4c15-9088-11ca44035d87", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:41:02.345889Z", | |
| "iopub.status.busy": "2022-10-07T20:41:02.345688Z", | |
| "iopub.status.idle": "2022-10-07T20:41:02.350599Z", | |
| "shell.execute_reply": "2022-10-07T20:41:02.350012Z", | |
| "shell.execute_reply.started": "2022-10-07T20:41:02.345871Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "base_dpath = Path('./exports')\n", | |
| "base_dpath.mkdir(exist_ok=True)\n", | |
| "\n", | |
| "# Create a directory for all files\n", | |
| "output_dpath = Path(base_dpath / 'ooimooring_allfiles')\n", | |
| "output_dpath.mkdir(exist_ok=True)\n", | |
| "\n", | |
| "failed_dpath = Path('./failed')\n", | |
| "failed_dpath.mkdir(exist_ok=True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "id": "75a5cdb5-7986-4659-9bd9-9090e4a24ed2", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:41:02.351657Z", | |
| "iopub.status.busy": "2022-10-07T20:41:02.351415Z", | |
| "iopub.status.idle": "2022-10-07T20:41:02.357514Z", | |
| "shell.execute_reply": "2022-10-07T20:41:02.356796Z", | |
| "shell.execute_reply.started": "2022-10-07T20:41:02.351639Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "def open_and_save(raw_file, sonar_model, offload_to_zarr, save_path, overwrite, open_kwargs={}, save_kwargs={}):\n", | |
| " try:\n", | |
| " ed = ep.open_raw(raw_file=raw_file, sonar_model=sonar_model, offload_to_zarr=offload_to_zarr, **open_kwargs)\n", | |
| " ed.to_zarr(save_path=save_path, overwrite=overwrite, **save_kwargs)\n", | |
| " return ed.converted_raw_path\n", | |
| " except Exception as e:\n", | |
| " exc_dict = parse_exception(e)\n", | |
| " failed_file = failed_dpath / f\"{os.path.basename(raw_file)}.txt\"\n", | |
| " failed_file.write_text(json.dumps(exc_dict))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "id": "24f646e5-e9a9-4c85-b1d1-06793a1962ab", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:41:02.358407Z", | |
| "iopub.status.busy": "2022-10-07T20:41:02.358216Z", | |
| "iopub.status.idle": "2022-10-07T20:41:04.439582Z", | |
| "shell.execute_reply": "2022-10-07T20:41:04.438401Z", | |
| "shell.execute_reply.started": "2022-10-07T20:41:02.358390Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "jobs = []\n", | |
| "for raw_file_url in desired_raw_file_urls:\n", | |
| " # Read and convert\n", | |
| " converted_path = client.submit(open_and_save,\n", | |
| " raw_file=raw_file_url,\n", | |
| " sonar_model='ek60',\n", | |
| " offload_to_zarr=True,\n", | |
| " save_path=output_dpath, \n", | |
| " overwrite=True)\n", | |
| " jobs.append(converted_path)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 17, | |
| "id": "834733a0-5240-4ab0-828b-a00539740aaf", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:41:16.778625Z", | |
| "iopub.status.busy": "2022-10-07T20:41:16.778389Z", | |
| "iopub.status.idle": "2022-10-07T20:57:47.332201Z", | |
| "shell.execute_reply": "2022-10-07T20:57:47.331473Z", | |
| "shell.execute_reply.started": "2022-10-07T20:41:16.778595Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "CPU times: user 3min 24s, sys: 29.3 s, total: 3min 54s\n", | |
| "Wall time: 16min 30s\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%%time\n", | |
| "converted_paths = client.gather(jobs)\n", | |
| "ed_list = [ep.open_converted(converted_file) for converted_file in converted_paths]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 18, | |
| "id": "b0d9ef33-1a43-40c3-aa78-53e0ae05bcdf", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:57:47.334144Z", | |
| "iopub.status.busy": "2022-10-07T20:57:47.333845Z", | |
| "iopub.status.idle": "2022-10-07T20:57:47.337854Z", | |
| "shell.execute_reply": "2022-10-07T20:57:47.337150Z", | |
| "shell.execute_reply.started": "2022-10-07T20:57:47.334114Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Use fsspec locally to assemble a list of converted files\n", | |
| "# fs_local = fsspec.filesystem('file')\n", | |
| "# ed_list = []\n", | |
| "# for converted_file in fs_local.glob(output_dpath / f\"*.zarr\"):\n", | |
| "# ed_list.append(ep.open_converted(converted_file))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 19, | |
| "id": "56034ca5-332c-459c-8e21-9629ca24db86", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T20:57:47.339041Z", | |
| "iopub.status.busy": "2022-10-07T20:57:47.338807Z", | |
| "iopub.status.idle": "2022-10-07T21:13:32.594805Z", | |
| "shell.execute_reply": "2022-10-07T21:13:32.593971Z", | |
| "shell.execute_reply.started": "2022-10-07T20:57:47.339015Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "CPU times: user 9min 23s, sys: 59 s, total: 10min 22s\n", | |
| "Wall time: 15min 45s\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%%time\n", | |
| "combined = ep.combine_echodata(\n", | |
| " ed_list,\n", | |
| " zarr_path=\"./combined.zarr\",\n", | |
| " overwrite=True,\n", | |
| " client=client)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 23, | |
| "id": "7a23df27-3efe-4d4c-9da2-148f2c1d3670", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T21:23:58.288095Z", | |
| "iopub.status.busy": "2022-10-07T21:23:58.287779Z", | |
| "iopub.status.idle": "2022-10-07T21:23:58.293090Z", | |
| "shell.execute_reply": "2022-10-07T21:23:58.291928Z", | |
| "shell.execute_reply.started": "2022-10-07T21:23:58.288057Z" | |
| } | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "from dask.utils import memory_repr" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 26, | |
| "id": "7a2f2567-2c51-4b8e-9710-14dbab776b42", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T21:25:45.330718Z", | |
| "iopub.status.busy": "2022-10-07T21:25:45.330381Z", | |
| "iopub.status.idle": "2022-10-07T21:25:45.339119Z", | |
| "shell.execute_reply": "2022-10-07T21:25:45.338274Z", | |
| "shell.execute_reply.started": "2022-10-07T21:25:45.330676Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "total_bytes = []\n", | |
| "for group in combined.group_paths:\n", | |
| " ds = combined[group]\n", | |
| " total_bytes.append(ds.nbytes)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 28, | |
| "id": "909193c7-fab8-4fd3-8cbf-fb9c25a1aef8", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T21:25:56.888597Z", | |
| "iopub.status.busy": "2022-10-07T21:25:56.888397Z", | |
| "iopub.status.idle": "2022-10-07T21:25:56.893280Z", | |
| "shell.execute_reply": "2022-10-07T21:25:56.892497Z", | |
| "shell.execute_reply.started": "2022-10-07T21:25:56.888575Z" | |
| }, | |
| "tags": [] | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "'133.3 GB'" | |
| ] | |
| }, | |
| "execution_count": 28, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "memory_repr(sum(total_bytes))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 29, | |
| "id": "c690b8ce-749c-4a02-a86f-a0364886194d", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2022-10-07T21:26:21.323200Z", | |
| "iopub.status.busy": "2022-10-07T21:26:21.322867Z", | |
| "iopub.status.idle": "2022-10-07T21:26:21.610776Z", | |
| "shell.execute_reply": "2022-10-07T21:26:21.610026Z", | |
| "shell.execute_reply.started": "2022-10-07T21:26:21.323167Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| " <div class='xr-header'>\n", | |
| " <div class=\"xr-obj-type\">EchoData: standardized raw data from /home/lsetiawan/GitRepos/GitHub/echopype/don_dev/CombineEchodataCheck/combined.zarr</div>\n", | |
| " </div>\n", | |
| " <ul class=\"xr-sections group-sections\">\n", | |
| " <li class=\"xr-section-list\"><input id=\"idata_72ad639488021fb8aecbd2b7eb648ac6\" class=\"xr-section-summary-in\" type=\"checkbox\">\n", | |
| " <label for=\"idata_72ad639488021fb8aecbd2b7eb648ac6\" class=\"xr-section-summary\">Top-level: contains metadata about the SONAR-netCDF4 file format.</label>\n", | |
| " <div class=\"xr-section-inline-details\"></div>\n", | |
| " <div class=\"xr-section-details\">\n", | |
| " <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n", | |
| " <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n", | |
| "<defs>\n", | |
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| "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", | |
| "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", | |
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| "</symbol>\n", | |
| "</defs>\n", | |
| "</svg>\n", | |
| "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n", | |
| " *\n", | |
| " */\n", | |
| "\n", | |
| ":root {\n", | |
| " --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n", | |
| " --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n", | |
| " --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n", | |
| " --xr-border-color: var(--jp-border-color2, #e0e0e0);\n", | |
| " --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n", | |
| " --xr-background-color: var(--jp-layout-color0, white);\n", | |
| " --xr-background-color-row-even: var(--jp-layout-color1, white);\n", | |
| " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n", | |
| "}\n", | |
| "\n", | |
| "html[theme=dark],\n", | |
| "body.vscode-dark {\n", | |
| " --xr-font-color0: rgba(255, 255, 255, 1);\n", | |
| " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", | |
| " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", | |
| " --xr-border-color: #1F1F1F;\n", | |
| " --xr-disabled-color: #515151;\n", | |
| " --xr-background-color: #111111;\n", | |
| " --xr-background-color-row-even: #111111;\n", | |
| " --xr-background-color-row-odd: #313131;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-wrap {\n", | |
| " display: block !important;\n", | |
| " min-width: 300px;\n", | |
| " max-width: 700px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-text-repr-fallback {\n", | |
| " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header {\n", | |
| " padding-top: 6px;\n", | |
| " padding-bottom: 6px;\n", | |
| " margin-bottom: 4px;\n", | |
| " border-bottom: solid 1px var(--xr-border-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header > div,\n", | |
| ".xr-header > ul {\n", | |
| " display: inline;\n", | |
| " margin-top: 0;\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type,\n", | |
| ".xr-array-name {\n", | |
| " margin-left: 2px;\n", | |
| " margin-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-sections {\n", | |
| " padding-left: 0 !important;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", | |
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| "\n", | |
| ".xr-section-item {\n", | |
| " display: contents;\n", | |
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| "\n", | |
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| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input + label {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label:hover {\n", | |
| " color: var(--xr-font-color0);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary {\n", | |
| " grid-column: 1;\n", | |
| " color: var(--xr-font-color2);\n", | |
| " font-weight: 500;\n", | |
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| "\n", | |
| ".xr-section-summary > span {\n", | |
| " display: inline-block;\n", | |
| " padding-left: 0.5em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
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| ".xr-section-summary-in + label:before {\n", | |
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| " content: '►';\n", | |
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| "\n", | |
| ".xr-section-summary-in:disabled + label:before {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label:before {\n", | |
| " content: '▼';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label > span {\n", | |
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| "}\n", | |
| "\n", | |
| ".xr-section-summary,\n", | |
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| "\n", | |
| ".xr-section-inline-details {\n", | |
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| "}\n", | |
| "\n", | |
| ".xr-section-details {\n", | |
| " display: none;\n", | |
| " grid-column: 1 / -1;\n", | |
| " margin-bottom: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked ~ .xr-section-details {\n", | |
| " display: contents;\n", | |
| "}\n", | |
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| ".xr-array-wrap > label {\n", | |
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| " vertical-align: top;\n", | |
| "}\n", | |
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| ".xr-preview {\n", | |
| " color: var(--xr-font-color3);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-preview,\n", | |
| ".xr-array-data {\n", | |
| " padding: 0 5px !important;\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
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| "\n", | |
| ".xr-array-in:checked ~ .xr-array-data,\n", | |
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| "}\n", | |
| "\n", | |
| ".xr-dim-list li {\n", | |
| " display: inline-block;\n", | |
| " padding: 0;\n", | |
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| ".xr-dim-list:before {\n", | |
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| "}\n", | |
| "\n", | |
| ".xr-has-index {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list,\n", | |
| ".xr-var-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > div,\n", | |
| ".xr-var-item label,\n", | |
| ".xr-var-item > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-even);\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > .xr-var-name:hover span {\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list > li:nth-child(odd) > div,\n", | |
| ".xr-var-list > li:nth-child(odd) > label,\n", | |
| ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-odd);\n", | |
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| ".xr-var-dtype {\n", | |
| " grid-column: 3;\n", | |
| " text-align: right;\n", | |
| " color: var(--xr-font-color2);\n", | |
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| "\n", | |
| ".xr-var-preview {\n", | |
| " grid-column: 4;\n", | |
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| "}\n", | |
| "\n", | |
| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
| ".xr-var-dtype:hover,\n", | |
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| "\n", | |
| ".xr-var-attrs,\n", | |
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| " display: none;\n", | |
| " background-color: var(--xr-background-color) !important;\n", | |
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| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
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| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
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| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2 {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: ()\n", | |
| "Data variables:\n", | |
| " *empty*\n", | |
| "Attributes:\n", | |
| " conventions: CF-1.7, SONAR-netCDF4-1.0, ACDD-1.3\n", | |
| " date_created: 2017-08-10T00:00:00Z\n", | |
| " keywords: EK60\n", | |
| " sonar_convention_authority: ICES\n", | |
| " sonar_convention_name: SONAR-netCDF4\n", | |
| " sonar_convention_version: 1.0\n", | |
| " summary: \n", | |
| " survey_name: \n", | |
| " title: </pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7d03a85c-3071-4681-bfcd-25fc328db3c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7d03a85c-3071-4681-bfcd-25fc328db3c8' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-36fff19d-fc76-4cf4-b0b6-ff48fb839c11' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-36fff19d-fc76-4cf4-b0b6-ff48fb839c11' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-217c8bcd-fdcf-4859-ba5c-90a839ce177e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-217c8bcd-fdcf-4859-ba5c-90a839ce177e' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-effecfaf-8f69-49ca-953b-fd7f3f0091c8' class='xr-section-summary-in' type='checkbox' checked><label for='section-effecfaf-8f69-49ca-953b-fd7f3f0091c8' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>conventions :</span></dt><dd>CF-1.7, SONAR-netCDF4-1.0, ACDD-1.3</dd><dt><span>date_created :</span></dt><dd>2017-08-10T00:00:00Z</dd><dt><span>keywords :</span></dt><dd>EK60</dd><dt><span>sonar_convention_authority :</span></dt><dd>ICES</dd><dt><span>sonar_convention_name :</span></dt><dd>SONAR-netCDF4</dd><dt><span>sonar_convention_version :</span></dt><dd>1.0</dd><dt><span>summary :</span></dt><dd></dd><dt><span>survey_name :</span></dt><dd></dd><dt><span>title :</span></dt><dd></dd></dl></div></li></ul></div></div><br></div>\n", | |
| " </ul>\n", | |
| " </div>\n", | |
| " </li>\n", | |
| " <ul><li class=\"xr-section-list\"><input id=\"idata_645911dc143a6ec95de16f57a124d506\" class=\"xr-section-summary-in\" type=\"checkbox\">\n", | |
| " <label for=\"idata_645911dc143a6ec95de16f57a124d506\" class=\"xr-section-summary\">Environment: contains information relevant to acoustic propagation through water.</label>\n", | |
| " <div class=\"xr-section-inline-details\"></div>\n", | |
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| " <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n", | |
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| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (channel: 3, time1: 1837920)\n", | |
| "Coordinates:\n", | |
| " * channel (channel) <U39 'GPT 38 kHz 00907208dd13 5-1 OOI....\n", | |
| " * time1 (time1) datetime64[ns] 2017-08-10T00:00:00.061000...\n", | |
| "Data variables:\n", | |
| " absorption_indicative (channel, time1) float64 dask.array<chunksize=(3, 1000), meta=np.ndarray>\n", | |
| " frequency_nominal (channel) float64 dask.array<chunksize=(3,), meta=np.ndarray>\n", | |
| " sound_speed_indicative (channel, time1) float64 dask.array<chunksize=(3, 1000), meta=np.ndarray></pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-da02ea75-5190-4f0f-8b6c-c5662f95bbd4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-da02ea75-5190-4f0f-8b6c-c5662f95bbd4' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 3</li><li><span class='xr-has-index'>time1</span>: 1837920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a69538c9-429d-4bac-aafe-9241d8ab85e4' class='xr-section-summary-in' type='checkbox' checked><label for='section-a69538c9-429d-4bac-aafe-9241d8ab85e4' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'><U39</div><div class='xr-var-preview xr-preview'>'GPT 38 kHz 00907208dd13 5-1 OO...</div><input id='attrs-251fc383-a9af-412b-9658-b8f96b6c73c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-251fc383-a9af-412b-9658-b8f96b6c73c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86889a57-b5df-47d5-86cb-07b5416b656d' class='xr-var-data-in' type='checkbox'><label for='data-86889a57-b5df-47d5-86cb-07b5416b656d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array(['GPT 38 kHz 00907208dd13 5-1 OOI.38|200',\n", | |
| " 'GPT 120 kHz 00907208a0b1 3-1 ES120-7CD',\n", | |
| " 'GPT 200 kHz 00907208dd13 5-2 OOI38|200'], dtype='<U39')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time1</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-08-10T00:00:00.061000192 .....</div><input id='attrs-22cb1e0d-7ed1-4de3-829c-733d33465cbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22cb1e0d-7ed1-4de3-829c-733d33465cbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9713cc4f-1e61-42c4-a139-7e21adc4d11e' class='xr-var-data-in' type='checkbox'><label for='data-9713cc4f-1e61-42c4-a139-7e21adc4d11e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to environmental variables.</dd><dt><span>long_name :</span></dt><dd>Timestamps for NMEA position datagrams</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['2017-08-10T00:00:00.061000192', '2017-08-10T00:00:02.072000000',\n", | |
| " '2017-08-10T00:00:03.074999808', ..., '2017-08-31T23:55:24.589000192',\n", | |
| " '2017-08-31T23:55:25.592000000', '2017-08-31T23:55:26.594999808'],\n", | |
| " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ebaaf443-4745-4808-9fbe-6c81615d6ff8' class='xr-section-summary-in' type='checkbox' checked><label for='section-ebaaf443-4745-4808-9fbe-6c81615d6ff8' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>absorption_indicative</span></div><div class='xr-var-dims'>(channel, time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-999ea9cc-3808-4ada-b842-a889da91e1fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-999ea9cc-3808-4ada-b842-a889da91e1fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-deb718da-c7aa-407a-b979-6a7a2405ab2a' class='xr-var-data-in' type='checkbox'><label for='data-deb718da-c7aa-407a-b979-6a7a2405ab2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Indicative acoustic absorption</dd><dt><span>units :</span></dt><dd>dB/m</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
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| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-3d77dd99-d343-4539-9bf4-a6c96c850537' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d77dd99-d343-4539-9bf4-a6c96c850537' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db46c1e2-a239-41b9-bae4-1f8b11717f58' class='xr-var-data-in' type='checkbox'><label for='data-db46c1e2-a239-41b9-bae4-1f8b11717f58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| " </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound_speed_indicative</span></div><div class='xr-var-dims'>(channel, time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-b461e34c-ada4-416c-9879-fb72dce0a57f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b461e34c-ada4-416c-9879-fb72dce0a57f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63df6044-ccf2-41a6-8f56-d278e7982f52' class='xr-var-data-in' type='checkbox'><label for='data-63df6044-ccf2-41a6-8f56-d278e7982f52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Indicative sound speed</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-dfd91765-fa61-4d80-9409-b06c6bd47b72' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dfd91765-fa61-4d80-9409-b06c6bd47b72' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div><br></div>\n", | |
| " </ul>\n", | |
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| " <label for=\"idata_07962375ca67d7a6626a0cfa5d252910\" class=\"xr-section-summary\">Platform: contains information about the platform on which the sonar is installed.</label>\n", | |
| " <div class=\"xr-section-inline-details\"></div>\n", | |
| " <div class=\"xr-section-details\">\n", | |
| " <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n", | |
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| "</symbol>\n", | |
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| "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n", | |
| "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", | |
| "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", | |
| "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", | |
| "</symbol>\n", | |
| "</defs>\n", | |
| "</svg>\n", | |
| "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n", | |
| " *\n", | |
| " */\n", | |
| "\n", | |
| ":root {\n", | |
| " --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n", | |
| " --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n", | |
| " --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n", | |
| " --xr-border-color: var(--jp-border-color2, #e0e0e0);\n", | |
| " --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n", | |
| " --xr-background-color: var(--jp-layout-color0, white);\n", | |
| " --xr-background-color-row-even: var(--jp-layout-color1, white);\n", | |
| " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n", | |
| "}\n", | |
| "\n", | |
| "html[theme=dark],\n", | |
| "body.vscode-dark {\n", | |
| " --xr-font-color0: rgba(255, 255, 255, 1);\n", | |
| " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", | |
| " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", | |
| " --xr-border-color: #1F1F1F;\n", | |
| " --xr-disabled-color: #515151;\n", | |
| " --xr-background-color: #111111;\n", | |
| " --xr-background-color-row-even: #111111;\n", | |
| " --xr-background-color-row-odd: #313131;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-wrap {\n", | |
| " display: block !important;\n", | |
| " min-width: 300px;\n", | |
| " max-width: 700px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-text-repr-fallback {\n", | |
| " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header {\n", | |
| " padding-top: 6px;\n", | |
| " padding-bottom: 6px;\n", | |
| " margin-bottom: 4px;\n", | |
| " border-bottom: solid 1px var(--xr-border-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header > div,\n", | |
| ".xr-header > ul {\n", | |
| " display: inline;\n", | |
| " margin-top: 0;\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type,\n", | |
| ".xr-array-name {\n", | |
| " margin-left: 2px;\n", | |
| " margin-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-sections {\n", | |
| " padding-left: 0 !important;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input + label {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label:hover {\n", | |
| " color: var(--xr-font-color0);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary {\n", | |
| " grid-column: 1;\n", | |
| " color: var(--xr-font-color2);\n", | |
| " font-weight: 500;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary > span {\n", | |
| " display: inline-block;\n", | |
| " padding-left: 0.5em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in + label:before {\n", | |
| " display: inline-block;\n", | |
| " content: '►';\n", | |
| " font-size: 11px;\n", | |
| " width: 15px;\n", | |
| " text-align: center;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label:before {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label:before {\n", | |
| " content: '▼';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label > span {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary,\n", | |
| ".xr-section-inline-details {\n", | |
| " padding-top: 4px;\n", | |
| " padding-bottom: 4px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-inline-details {\n", | |
| " grid-column: 2 / -1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-details {\n", | |
| " display: none;\n", | |
| " grid-column: 1 / -1;\n", | |
| " margin-bottom: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked ~ .xr-section-details {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap {\n", | |
| " grid-column: 1 / -1;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 20px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap > label {\n", | |
| " grid-column: 1;\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-preview {\n", | |
| " color: var(--xr-font-color3);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-preview,\n", | |
| ".xr-array-data {\n", | |
| " padding: 0 5px !important;\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-data,\n", | |
| ".xr-array-in:checked ~ .xr-array-preview {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-in:checked ~ .xr-array-data,\n", | |
| ".xr-array-preview {\n", | |
| " display: inline-block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list {\n", | |
| " display: inline-block !important;\n", | |
| " list-style: none;\n", | |
| " padding: 0 !important;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li {\n", | |
| " display: inline-block;\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:before {\n", | |
| " content: '(';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:after {\n", | |
| " content: ')';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li:not(:last-child):after {\n", | |
| " content: ',';\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-has-index {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list,\n", | |
| ".xr-var-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > div,\n", | |
| ".xr-var-item label,\n", | |
| ".xr-var-item > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-even);\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > .xr-var-name:hover span {\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list > li:nth-child(odd) > div,\n", | |
| ".xr-var-list > li:nth-child(odd) > label,\n", | |
| ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-odd);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name {\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dims {\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dtype {\n", | |
| " grid-column: 3;\n", | |
| " text-align: right;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-preview {\n", | |
| " grid-column: 4;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name,\n", | |
| ".xr-var-dims,\n", | |
| ".xr-var-dtype,\n", | |
| ".xr-preview,\n", | |
| ".xr-attrs dt {\n", | |
| " white-space: nowrap;\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
| ".xr-var-dtype:hover,\n", | |
| ".xr-attrs dt:hover {\n", | |
| " overflow: visible;\n", | |
| " width: auto;\n", | |
| " z-index: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " display: none;\n", | |
| " background-color: var(--xr-background-color) !important;\n", | |
| " padding-bottom: 5px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
| ".xr-var-data-in:checked ~ .xr-var-data {\n", | |
| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2 {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (channel: 3, time1: 318, time2: 1837920, time3: 1837920)\n", | |
| "Coordinates:\n", | |
| " * channel (channel) <U39 'GPT 38 kHz 00907208dd13 5-1 OOI.38|...\n", | |
| " * time1 (time1) datetime64[ns] NaT NaT NaT NaT ... NaT NaT NaT\n", | |
| " * time2 (time2) datetime64[ns] 2017-08-10T00:00:00.061000192...\n", | |
| " * time3 (time3) datetime64[ns] 2017-08-10T00:00:00.061000192...\n", | |
| "Data variables: (12/20)\n", | |
| " MRU_offset_x (channel) float64 dask.array<chunksize=(3,), meta=np.ndarray>\n", | |
| " MRU_offset_y (channel) float64 dask.array<chunksize=(3,), meta=np.ndarray>\n", | |
| " MRU_offset_z (channel) float64 dask.array<chunksize=(3,), meta=np.ndarray>\n", | |
| " MRU_rotation_x (channel) float64 dask.array<chunksize=(3,), meta=np.ndarray>\n", | |
| " MRU_rotation_y (channel) float64 dask.array<chunksize=(3,), meta=np.ndarray>\n", | |
| " MRU_rotation_z (channel) float64 dask.array<chunksize=(3,), meta=np.ndarray>\n", | |
| " ... ...\n", | |
| " sentence_type (time1) float64 dask.array<chunksize=(1,), meta=np.ndarray>\n", | |
| " transducer_offset_x (channel) float64 dask.array<chunksize=(3,), meta=np.ndarray>\n", | |
| " transducer_offset_y (channel) float64 dask.array<chunksize=(3,), meta=np.ndarray>\n", | |
| " transducer_offset_z (channel) float64 dask.array<chunksize=(3,), meta=np.ndarray>\n", | |
| " vertical_offset (channel, time2) float64 dask.array<chunksize=(3, 1000), meta=np.ndarray>\n", | |
| " water_level (channel, time3) float64 dask.array<chunksize=(3, 1000), meta=np.ndarray></pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d6d48686-5dcb-4ad9-b45a-6272342b9dbe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d6d48686-5dcb-4ad9-b45a-6272342b9dbe' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 3</li><li><span class='xr-has-index'>time1</span>: 318</li><li><span class='xr-has-index'>time2</span>: 1837920</li><li><span class='xr-has-index'>time3</span>: 1837920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-376e766b-77f0-410a-9f1f-11ba7632968f' class='xr-section-summary-in' type='checkbox' checked><label for='section-376e766b-77f0-410a-9f1f-11ba7632968f' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'><U39</div><div class='xr-var-preview xr-preview'>'GPT 38 kHz 00907208dd13 5-1 OO...</div><input id='attrs-88a63f65-7372-4e62-9d7e-d5c4d8472ac0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88a63f65-7372-4e62-9d7e-d5c4d8472ac0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fc52de3-a0a6-41b4-ba98-7d492e426ceb' class='xr-var-data-in' type='checkbox'><label for='data-9fc52de3-a0a6-41b4-ba98-7d492e426ceb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array(['GPT 38 kHz 00907208dd13 5-1 OOI.38|200',\n", | |
| " 'GPT 120 kHz 00907208a0b1 3-1 ES120-7CD',\n", | |
| " 'GPT 200 kHz 00907208dd13 5-2 OOI38|200'], dtype='<U39')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time1</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>NaT NaT NaT NaT ... NaT NaT NaT NaT</div><input id='attrs-56791b61-4c5f-4e11-a38d-3074702b55c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56791b61-4c5f-4e11-a38d-3074702b55c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6e3b928-0aa5-41e7-ae1c-7d8ac7456992' class='xr-var-data-in' type='checkbox'><label for='data-f6e3b928-0aa5-41e7-ae1c-7d8ac7456992' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to NMEA position data.</dd><dt><span>long_name :</span></dt><dd>Timestamps for NMEA datagrams</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['NaT', 'NaT', 'NaT', ..., 'NaT', 'NaT', 'NaT'], dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time2</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-08-10T00:00:00.061000192 .....</div><input id='attrs-7b1321d1-17a6-4a22-8b9d-366953637805' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b1321d1-17a6-4a22-8b9d-366953637805' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8b36a6f-cc38-4b40-a7b2-1b317c8fd229' class='xr-var-data-in' type='checkbox'><label for='data-b8b36a6f-cc38-4b40-a7b2-1b317c8fd229' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to platform motion and orientation data.</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform motion and orientation data</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['2017-08-10T00:00:00.061000192', '2017-08-10T00:00:02.072000000',\n", | |
| " '2017-08-10T00:00:03.074999808', ..., '2017-08-31T23:55:24.589000192',\n", | |
| " '2017-08-31T23:55:25.592000000', '2017-08-31T23:55:26.594999808'],\n", | |
| " dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time3</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-08-10T00:00:00.061000192 .....</div><input id='attrs-95f2ca43-c30e-49b8-b8c7-2433db305aae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95f2ca43-c30e-49b8-b8c7-2433db305aae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82aa9d75-af68-4f14-9966-a285d5032bed' class='xr-var-data-in' type='checkbox'><label for='data-82aa9d75-af68-4f14-9966-a285d5032bed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to platform-related sampling environment.</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform-related sampling environment</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['2017-08-10T00:00:00.061000192', '2017-08-10T00:00:02.072000000',\n", | |
| " '2017-08-10T00:00:03.074999808', ..., '2017-08-31T23:55:24.589000192',\n", | |
| " '2017-08-31T23:55:25.592000000', '2017-08-31T23:55:26.594999808'],\n", | |
| " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ca1a1cc-30c6-4750-8a09-c2f17e1163a8' class='xr-section-summary-in' type='checkbox' ><label for='section-7ca1a1cc-30c6-4750-8a09-c2f17e1163a8' class='xr-section-summary' >Data variables: <span>(20)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_x</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-0e72e348-10b5-47f7-82ed-fdb94f2e0a72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e72e348-10b5-47f7-82ed-fdb94f2e0a72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8987de29-80c6-4350-905d-66ba2ec39480' class='xr-var-data-in' type='checkbox'><label for='data-8987de29-80c6-4350-905d-66ba2ec39480' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the x-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"93\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"43\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,43.88583450710766 0.0,43.88583450710766\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n", | |
| " <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_y</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-e1d7b4b9-ba99-4ddf-8edc-2e85806a8d91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1d7b4b9-ba99-4ddf-8edc-2e85806a8d91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e8f8225-1026-4dec-bcc2-cec3db8688fa' class='xr-var-data-in' type='checkbox'><label for='data-9e8f8225-1026-4dec-bcc2-cec3db8688fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the y-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"93\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"43\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,43.88583450710766 0.0,43.88583450710766\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n", | |
| " <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_z</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-ca15efaa-6449-4fa3-923d-6eb4414dbe47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca15efaa-6449-4fa3-923d-6eb4414dbe47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93191797-b86d-46e4-beb4-89ab518597ae' class='xr-var-data-in' type='checkbox'><label for='data-93191797-b86d-46e4-beb4-89ab518597ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the z-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"93\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"43\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,43.88583450710766 0.0,43.88583450710766\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n", | |
| " <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_x</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-4797015c-3466-4f4a-b701-eb122b0176b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4797015c-3466-4f4a-b701-eb122b0176b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a640e757-27f3-43c8-889f-8c5c6d8a71ab' class='xr-var-data-in' type='checkbox'><label for='data-a640e757-27f3-43c8-889f-8c5c6d8a71ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the x-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"93\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"43\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,43.88583450710766 0.0,43.88583450710766\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n", | |
| " <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_y</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-d8152a7c-2028-42e8-82d5-4c6fab6441b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8152a7c-2028-42e8-82d5-4c6fab6441b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d09cc11-c38c-4706-8e98-72d1c5ba5e78' class='xr-var-data-in' type='checkbox'><label for='data-9d09cc11-c38c-4706-8e98-72d1c5ba5e78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the y-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"93\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"43\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,43.88583450710766 0.0,43.88583450710766\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n", | |
| " <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_z</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-67715588-b8a3-4195-8626-e97bbf849d37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67715588-b8a3-4195-8626-e97bbf849d37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c71eba1-58e6-4bc2-b127-4c4d67bde2b9' class='xr-var-data-in' type='checkbox'><label for='data-5c71eba1-58e6-4bc2-b127-4c4d67bde2b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the z-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
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| " <!-- Horizontal lines -->\n", | |
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| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
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| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-4abae4ad-bb6e-4247-b095-220e9b2dec11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4abae4ad-bb6e-4247-b095-220e9b2dec11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2513c2f4-ef07-4fbf-a6a7-d30195d0ba0b' class='xr-var-data-in' type='checkbox'><label for='data-2513c2f4-ef07-4fbf-a6a7-d30195d0ba0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
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| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-99ba77c8-5bbd-4941-9eca-0370063ba0cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99ba77c8-5bbd-4941-9eca-0370063ba0cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-942abe63-d6b0-46dc-9630-4e88e7b235d7' class='xr-var-data-in' type='checkbox'><label for='data-942abe63-d6b0-46dc-9630-4e88e7b235d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 2.48 kiB </td>\n", | |
| " <td> 8 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (318,) </td>\n", | |
| " <td> (1,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 318 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
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| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-32a68547-d1ff-424a-873f-acb6850403f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32a68547-d1ff-424a-873f-acb6850403f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c1e332f-9e83-4efb-aa65-12f0c339f0aa' class='xr-var-data-in' type='checkbox'><label for='data-9c1e332f-9e83-4efb-aa65-12f0c339f0aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_range :</span></dt><dd>(-180.0, 180.0)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 2.48 kiB </td>\n", | |
| " <td> 8 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (318,) </td>\n", | |
| " <td> (1,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 318 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(channel, time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-b6e9de9d-355a-480f-b7d8-c1094be09879' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6e9de9d-355a-480f-b7d8-c1094be09879' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c39646fd-7a1e-4f6a-a96d-791dd7c7aaf3' class='xr-var-data-in' type='checkbox'><label for='data-c39646fd-7a1e-4f6a-a96d-791dd7c7aaf3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
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| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| " </td>\n", | |
| " <td>\n", | |
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| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_x</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-9ed6a33b-96d1-478c-9b2d-8a9a975be908' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ed6a33b-96d1-478c-9b2d-8a9a975be908' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d68d43a2-5360-4908-8067-744af1c2e0d3' class='xr-var-data-in' type='checkbox'><label for='data-d68d43a2-5360-4908-8067-744af1c2e0d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the x-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
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| " <tr>\n", | |
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| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
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| " </td>\n", | |
| " <td>\n", | |
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| " </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_y</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-fb212504-987b-4aec-9502-3fba9c3cbcbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb212504-987b-4aec-9502-3fba9c3cbcbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02538fd3-5ee5-4429-a16b-3cfbea92df0f' class='xr-var-data-in' type='checkbox'><label for='data-02538fd3-5ee5-4429-a16b-3cfbea92df0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the y-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
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| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_z</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-79c418fb-b587-4d73-821d-80f8fe0779b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79c418fb-b587-4d73-821d-80f8fe0779b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72c543f7-f83b-4ab1-8205-a2ddb8e7f3db' class='xr-var-data-in' type='checkbox'><label for='data-72c543f7-f83b-4ab1-8205-a2ddb8e7f3db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the z-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
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| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| " </td>\n", | |
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| " </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(channel, time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-85d1eb6e-14c6-4c6b-aaec-55c884a328dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85d1eb6e-14c6-4c6b-aaec-55c884a328dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8f1b843-cdf8-47dc-8f20-43404d147283' class='xr-var-data-in' type='checkbox'><label for='data-c8f1b843-cdf8-47dc-8f20-43404d147283' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
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| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
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| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sentence_type</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-d582a150-60dd-43b9-97a8-80cd9bec2446' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d582a150-60dd-43b9-97a8-80cd9bec2446' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ef7d560-48ab-473f-b79e-9be389d2a852' class='xr-var-data-in' type='checkbox'><label for='data-1ef7d560-48ab-473f-b79e-9be389d2a852' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 2.48 kiB </td>\n", | |
| " <td> 8 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (318,) </td>\n", | |
| " <td> (1,) </td>\n", | |
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| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 318 Chunks </td>\n", | |
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| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
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| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_x</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-a2377c3d-27e2-43dd-8318-7f3284ce0259' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2377c3d-27e2-43dd-8318-7f3284ce0259' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-280f9738-66f7-4fbc-86f0-02439911fff7' class='xr-var-data-in' type='checkbox'><label for='data-280f9738-66f7-4fbc-86f0-02439911fff7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
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| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_y</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-fd315bbb-2181-40cf-ad75-36c4e016fb77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd315bbb-2181-40cf-ad75-36c4e016fb77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db699caf-8327-4267-8b3c-4ca84014516b' class='xr-var-data-in' type='checkbox'><label for='data-db699caf-8327-4267-8b3c-4ca84014516b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_z</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-8b1bd691-3fd9-48a3-8083-28a7275f0059' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b1bd691-3fd9-48a3-8083-28a7275f0059' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9577eab3-3058-4580-95d8-556874e05006' class='xr-var-data-in' type='checkbox'><label for='data-9577eab3-3058-4580-95d8-556874e05006' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
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| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| " </table>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_offset</span></div><div class='xr-var-dims'>(channel, time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-3aeac4af-9fd8-4cb2-837e-d5b844c6ed44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3aeac4af-9fd8-4cb2-837e-d5b844c6ed44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82e2ac02-a69c-43d6-a9ac-4f11be03b539' class='xr-var-data-in' type='checkbox'><label for='data-82e2ac02-a69c-43d6-a9ac-4f11be03b539' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform vertical offset from nominal</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_level</span></div><div class='xr-var-dims'>(channel, time3)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-9da7031c-38f5-473b-8f0c-fde06a2d2d2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9da7031c-38f5-473b-8f0c-fde06a2d2d2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0c5e797-0f9c-4a73-bc3a-5646fb8680e5' class='xr-var-data-in' type='checkbox'><label for='data-b0c5e797-0f9c-4a73-bc3a-5646fb8680e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| "Dimensions: (time1: 318)\n", | |
| "Coordinates:\n", | |
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| "Data variables:\n", | |
| " NMEA_datagram (time1) <U22 dask.array<chunksize=(1,), meta=np.ndarray>\n", | |
| "Attributes:\n", | |
| " description: All NMEA sensor datagrams</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-73a72178-9b2c-4c8b-8274-2d637a2193dd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-73a72178-9b2c-4c8b-8274-2d637a2193dd' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time1</span>: 318</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3dc23178-0ec4-4594-a326-6e23dfdca525' class='xr-section-summary-in' type='checkbox' checked><label for='section-3dc23178-0ec4-4594-a326-6e23dfdca525' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time1</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-08-10T00:00:00.060999680 .....</div><input id='attrs-2d0278aa-77ac-4231-b7cf-d7adf094d6b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d0278aa-77ac-4231-b7cf-d7adf094d6b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cab2b204-b004-458b-96a9-d175ef41aa3b' class='xr-var-data-in' type='checkbox'><label for='data-cab2b204-b004-458b-96a9-d175ef41aa3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to NMEA sensor data.</dd><dt><span>long_name :</span></dt><dd>Timestamps for NMEA datagrams</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['2017-08-10T00:00:00.060999680', '2017-08-10T20:52:55.497000448',\n", | |
| " '2017-08-10T22:32:09.087000064', ..., '2017-08-31T19:48:50.843999744',\n", | |
| " '2017-08-31T21:27:52.118000128', '2017-08-31T23:06:54.383000064'],\n", | |
| " dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f5eba9d1-13ea-488a-ac8a-d01f57681e58' class='xr-section-summary-in' type='checkbox' checked><label for='section-f5eba9d1-13ea-488a-ac8a-d01f57681e58' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>NMEA_datagram</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'><U22</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-4794b5d8-9523-4dc2-871c-d3a60c23bc89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4794b5d8-9523-4dc2-871c-d3a60c23bc89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20089bae-d039-4e8f-9d7b-ed39ccc7a178' class='xr-var-data-in' type='checkbox'><label for='data-20089bae-d039-4e8f-9d7b-ed39ccc7a178' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>NMEA datagram</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 27.33 kiB </td>\n", | |
| " <td> 88 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (318,) </td>\n", | |
| " <td> (1,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 318 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> <U22 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| " white-space: nowrap;\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
| ".xr-var-dtype:hover,\n", | |
| ".xr-attrs dt:hover {\n", | |
| " overflow: visible;\n", | |
| " width: auto;\n", | |
| " z-index: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " display: none;\n", | |
| " background-color: var(--xr-background-color) !important;\n", | |
| " padding-bottom: 5px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
| ".xr-var-data-in:checked ~ .xr-var-data {\n", | |
| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2 {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (echodata_filename: 318,\n", | |
| " environment_attr_key: 0, filenames: 318,\n", | |
| " platform_attr_key: 0,\n", | |
| " platform_nmea_attr_key: 1,\n", | |
| " provenance_attr_key: 4,\n", | |
| " sonar_attr_key: 6,\n", | |
| " ...\n", | |
| " top_level_attr_key: 9,\n", | |
| " vendor_specific_attr_key: 0,\n", | |
| " platform_old_time3_dim: 1837920,\n", | |
| " platform_old_time2_dim: 1837920,\n", | |
| " environment_old_time1_dim: 1837920,\n", | |
| " sonar_beam_group1_old_ping_time_dim: 1837920)\n", | |
| "Coordinates:\n", | |
| " * echodata_filename (echodata_filename) <U26 'OOI-D20170810-...\n", | |
| " * environment_attr_key (environment_attr_key) float64 \n", | |
| " * filenames (filenames) int64 0 1 2 3 ... 315 316 317\n", | |
| " * platform_attr_key (platform_attr_key) float64 \n", | |
| " * platform_nmea_attr_key (platform_nmea_attr_key) <U11 'description'\n", | |
| " * provenance_attr_key (provenance_attr_key) <U27 'conversion_s...\n", | |
| " * sonar_attr_key (sonar_attr_key) <U22 'sonar_manufacture...\n", | |
| " * sonar_beam_group1_attr_key (sonar_beam_group1_attr_key) <U21 'beam_...\n", | |
| " * top_level_attr_key (top_level_attr_key) <U26 'conventions' ...\n", | |
| " * vendor_specific_attr_key (vendor_specific_attr_key) float64 \n", | |
| "Dimensions without coordinates: platform_old_time3_dim, platform_old_time2_dim,\n", | |
| " environment_old_time1_dim,\n", | |
| " sonar_beam_group1_old_ping_time_dim\n", | |
| "Data variables: (12/13)\n", | |
| " environment_attrs (echodata_filename, environment_attr_key) float64 dask.array<chunksize=(318, 0), meta=np.ndarray>\n", | |
| " platform_attrs (echodata_filename, platform_attr_key) float64 dask.array<chunksize=(318, 0), meta=np.ndarray>\n", | |
| " platform_nmea_attrs (echodata_filename, platform_nmea_attr_key) <U25 dask.array<chunksize=(318, 1), meta=np.ndarray>\n", | |
| " provenance_attrs (echodata_filename, provenance_attr_key) <U21 dask.array<chunksize=(318, 4), meta=np.ndarray>\n", | |
| " sonar_attrs (echodata_filename, sonar_attr_key) <U11 dask.array<chunksize=(318, 6), meta=np.ndarray>\n", | |
| " sonar_beam_group1_attrs (echodata_filename, sonar_beam_group1_attr_key) <U8 dask.array<chunksize=(318, 2), meta=np.ndarray>\n", | |
| " ... ...\n", | |
| " top_level_attrs (echodata_filename, top_level_attr_key) <U35 dask.array<chunksize=(159, 9), meta=np.ndarray>\n", | |
| " vendor_specific_attrs (echodata_filename, vendor_specific_attr_key) float64 dask.array<chunksize=(318, 0), meta=np.ndarray>\n", | |
| " platform_old_time3 (platform_old_time3_dim) datetime64[ns] ...\n", | |
| " platform_old_time2 (platform_old_time2_dim) datetime64[ns] ...\n", | |
| " environment_old_time1 (environment_old_time1_dim) datetime64[ns] ...\n", | |
| " sonar_beam_group1_old_ping_time (sonar_beam_group1_old_ping_time_dim) datetime64[ns] ...\n", | |
| "Attributes:\n", | |
| " conversion_software_name: echopype\n", | |
| " conversion_software_version: 0.6.1.dev187+ga3b3f7f\n", | |
| " conversion_time: 2022-10-07T21:12:58Z\n", | |
| " duplicate_ping_times: 0\n", | |
| " reversed_ping_times: 1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-221fcb62-344e-45ed-8b59-f1c0a8db261a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-221fcb62-344e-45ed-8b59-f1c0a8db261a' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>echodata_filename</span>: 318</li><li><span class='xr-has-index'>environment_attr_key</span>: 0</li><li><span class='xr-has-index'>filenames</span>: 318</li><li><span class='xr-has-index'>platform_attr_key</span>: 0</li><li><span class='xr-has-index'>platform_nmea_attr_key</span>: 1</li><li><span class='xr-has-index'>provenance_attr_key</span>: 4</li><li><span class='xr-has-index'>sonar_attr_key</span>: 6</li><li><span class='xr-has-index'>sonar_beam_group1_attr_key</span>: 2</li><li><span class='xr-has-index'>top_level_attr_key</span>: 9</li><li><span class='xr-has-index'>vendor_specific_attr_key</span>: 0</li><li><span>platform_old_time3_dim</span>: 1837920</li><li><span>platform_old_time2_dim</span>: 1837920</li><li><span>environment_old_time1_dim</span>: 1837920</li><li><span>sonar_beam_group1_old_ping_time_dim</span>: 1837920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cd5d526f-8b0e-427c-9ec6-8c3c021d95dc' class='xr-section-summary-in' type='checkbox' checked><label for='section-cd5d526f-8b0e-427c-9ec6-8c3c021d95dc' class='xr-section-summary' >Coordinates: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>echodata_filename</span></div><div class='xr-var-dims'>(echodata_filename)</div><div class='xr-var-dtype'><U26</div><div class='xr-var-preview xr-preview'>'OOI-D20170810-T000000.zarr' ......</div><input id='attrs-7024c230-cbaf-47f8-a1d4-3affa425e6d4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7024c230-cbaf-47f8-a1d4-3affa425e6d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cac1700b-2f2d-408a-a281-7b587dfd74d7' class='xr-var-data-in' type='checkbox'><label for='data-cac1700b-2f2d-408a-a281-7b587dfd74d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['OOI-D20170810-T000000.zarr', 'OOI-D20170810-T205255.zarr',\n", | |
| " 'OOI-D20170810-T223209.zarr', ..., 'OOI-D20170831-T194850.zarr',\n", | |
| " 'OOI-D20170831-T212752.zarr', 'OOI-D20170831-T230654.zarr'],\n", | |
| " dtype='<U26')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>environment_attr_key</span></div><div class='xr-var-dims'>(environment_attr_key)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'></div><input id='attrs-cd73c8e2-7ad2-47eb-a7ae-76a364b2a3ae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd73c8e2-7ad2-47eb-a7ae-76a364b2a3ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdf2de0b-b21a-4416-b7db-105ed7cca1aa' class='xr-var-data-in' type='checkbox'><label for='data-fdf2de0b-b21a-4416-b7db-105ed7cca1aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([], dtype=float64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>filenames</span></div><div class='xr-var-dims'>(filenames)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 313 314 315 316 317</div><input id='attrs-58c2bbed-fa25-476a-9a7d-2aa36002bb69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58c2bbed-fa25-476a-9a7d-2aa36002bb69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a00cb71a-aca2-4a3f-8d06-69df6777fe4c' class='xr-var-data-in' type='checkbox'><label for='data-a00cb71a-aca2-4a3f-8d06-69df6777fe4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Index for data and metadata source filenames</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 315, 316, 317])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>platform_attr_key</span></div><div class='xr-var-dims'>(platform_attr_key)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'></div><input id='attrs-39b1f41c-d9ac-4391-ad24-c0f642714ead' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39b1f41c-d9ac-4391-ad24-c0f642714ead' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35c9857a-0cf7-460c-9450-c32d8b3c731a' class='xr-var-data-in' type='checkbox'><label for='data-35c9857a-0cf7-460c-9450-c32d8b3c731a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([], dtype=float64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>platform_nmea_attr_key</span></div><div class='xr-var-dims'>(platform_nmea_attr_key)</div><div class='xr-var-dtype'><U11</div><div class='xr-var-preview xr-preview'>'description'</div><input id='attrs-2f6b5c96-565c-42c6-b58b-3cf8f3cb9040' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f6b5c96-565c-42c6-b58b-3cf8f3cb9040' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-503fa10f-ae11-4261-b1b9-ce05229d273c' class='xr-var-data-in' type='checkbox'><label for='data-503fa10f-ae11-4261-b1b9-ce05229d273c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['description'], dtype='<U11')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>provenance_attr_key</span></div><div class='xr-var-dims'>(provenance_attr_key)</div><div class='xr-var-dtype'><U27</div><div class='xr-var-preview xr-preview'>'conversion_software_name' ... '...</div><input id='attrs-45113631-228a-436d-885e-73c07c40c4f7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45113631-228a-436d-885e-73c07c40c4f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1e075da-86a0-440c-90aa-e6d859fbd464' class='xr-var-data-in' type='checkbox'><label for='data-d1e075da-86a0-440c-90aa-e6d859fbd464' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['conversion_software_name', 'conversion_software_version',\n", | |
| " 'conversion_time', 'duplicate_ping_times'], dtype='<U27')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sonar_attr_key</span></div><div class='xr-var-dims'>(sonar_attr_key)</div><div class='xr-var-dtype'><U22</div><div class='xr-var-preview xr-preview'>'sonar_manufacturer' ... 'sonar_...</div><input id='attrs-1c77f946-1637-45db-83e3-08c97f19d634' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c77f946-1637-45db-83e3-08c97f19d634' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-046db292-2fcd-4d13-88a8-a84ed5b4a30a' class='xr-var-data-in' type='checkbox'><label for='data-046db292-2fcd-4d13-88a8-a84ed5b4a30a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['sonar_manufacturer', 'sonar_model', 'sonar_serial_number',\n", | |
| " 'sonar_software_name', 'sonar_software_version', 'sonar_type'],\n", | |
| " dtype='<U22')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sonar_beam_group1_attr_key</span></div><div class='xr-var-dims'>(sonar_beam_group1_attr_key)</div><div class='xr-var-dtype'><U21</div><div class='xr-var-preview xr-preview'>'beam_mode' 'conversion_equation_t'</div><input id='attrs-435e92f4-0572-4d8f-8bae-fb7fa38cb834' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-435e92f4-0572-4d8f-8bae-fb7fa38cb834' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0433f9cf-70d2-42d3-85ef-3a9a0be0d690' class='xr-var-data-in' type='checkbox'><label for='data-0433f9cf-70d2-42d3-85ef-3a9a0be0d690' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['beam_mode', 'conversion_equation_t'], dtype='<U21')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>top_level_attr_key</span></div><div class='xr-var-dims'>(top_level_attr_key)</div><div class='xr-var-dtype'><U26</div><div class='xr-var-preview xr-preview'>'conventions' ... 'title'</div><input id='attrs-334c9000-9ca9-4c79-92cf-f5ae601a7531' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-334c9000-9ca9-4c79-92cf-f5ae601a7531' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-451a09bd-4d29-4434-b7a4-5e14dac425e1' class='xr-var-data-in' type='checkbox'><label for='data-451a09bd-4d29-4434-b7a4-5e14dac425e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(['conventions', 'date_created', 'keywords', 'sonar_convention_authority',\n", | |
| " 'sonar_convention_name', 'sonar_convention_version', 'summary',\n", | |
| " 'survey_name', 'title'], dtype='<U26')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>vendor_specific_attr_key</span></div><div class='xr-var-dims'>(vendor_specific_attr_key)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'></div><input id='attrs-770eecca-e0e6-4d91-b381-855b92ee1d65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-770eecca-e0e6-4d91-b381-855b92ee1d65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44d5c4a4-8c88-4423-b887-cbbe079f4a87' class='xr-var-data-in' type='checkbox'><label for='data-44d5c4a4-8c88-4423-b887-cbbe079f4a87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([], dtype=float64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2b93bd55-dd3c-4506-ac8b-72560ccaa0a0' class='xr-section-summary-in' type='checkbox' checked><label for='section-2b93bd55-dd3c-4506-ac8b-72560ccaa0a0' class='xr-section-summary' >Data variables: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>environment_attrs</span></div><div class='xr-var-dims'>(echodata_filename, environment_attr_key)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(318, 0), meta=np.ndarray></div><input id='attrs-afc2610c-d40d-4b03-a8d5-fe8e79100565' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-afc2610c-d40d-4b03-a8d5-fe8e79100565' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-710ef0a2-1e84-49ae-b109-6245dcd39469' class='xr-var-data-in' type='checkbox'><label for='data-710ef0a2-1e84-49ae-b109-6245dcd39469' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 0 B </td>\n", | |
| " <td> 0 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (318, 0) </td>\n", | |
| " <td> (318, 0) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " \n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>platform_attrs</span></div><div class='xr-var-dims'>(echodata_filename, platform_attr_key)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(318, 0), meta=np.ndarray></div><input id='attrs-657ae65a-5b7c-4345-bb57-ea5f15b69863' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-657ae65a-5b7c-4345-bb57-ea5f15b69863' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8edcf274-483b-4a5e-b96c-78f0c34c7c07' class='xr-var-data-in' type='checkbox'><label for='data-8edcf274-483b-4a5e-b96c-78f0c34c7c07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 0 B </td>\n", | |
| " <td> 0 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (318, 0) </td>\n", | |
| " <td> (318, 0) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " \n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>platform_nmea_attrs</span></div><div class='xr-var-dims'>(echodata_filename, platform_nmea_attr_key)</div><div class='xr-var-dtype'><U25</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(318, 1), meta=np.ndarray></div><input id='attrs-27359e42-eb20-4ebf-aa84-02d4a026d7d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-27359e42-eb20-4ebf-aa84-02d4a026d7d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fd8ccfb-55f9-497f-b6f5-9c0ca32ddf5b' class='xr-var-data-in' type='checkbox'><label for='data-5fd8ccfb-55f9-497f-b6f5-9c0ca32ddf5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 31.05 kiB </td>\n", | |
| " <td> 31.05 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (318, 1) </td>\n", | |
| " <td> (318, 1) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> <U25 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1</text>\n", | |
| " <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">318</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>provenance_attrs</span></div><div class='xr-var-dims'>(echodata_filename, provenance_attr_key)</div><div class='xr-var-dtype'><U21</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(318, 4), meta=np.ndarray></div><input id='attrs-acf76685-8f31-4879-9adf-0cdb27c60b80' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-acf76685-8f31-4879-9adf-0cdb27c60b80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cf31fdb-89e4-4173-9620-466b6fa681db' class='xr-var-data-in' type='checkbox'><label for='data-9cf31fdb-89e4-4173-9620-466b6fa681db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 104.34 kiB </td>\n", | |
| " <td> 104.34 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (318, 4) </td>\n", | |
| " <td> (318, 4) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> <U21 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"76\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"26\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"26\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"26\" y1=\"0\" x2=\"26\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 26.544555638740157,0.0 26.544555638740157,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"13.272278\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4</text>\n", | |
| " <text x=\"46.544556\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,46.544556,60.000000)\">318</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sonar_attrs</span></div><div class='xr-var-dims'>(echodata_filename, sonar_attr_key)</div><div class='xr-var-dtype'><U11</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(318, 6), meta=np.ndarray></div><input id='attrs-7603d362-24de-46d1-8866-05a82331030b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7603d362-24de-46d1-8866-05a82331030b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fb0cff6-661b-48e3-9437-18c70a972148' class='xr-var-data-in' type='checkbox'><label for='data-1fb0cff6-661b-48e3-9437-18c70a972148' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 81.98 kiB </td>\n", | |
| " <td> 81.98 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (318, 6) </td>\n", | |
| " <td> (318, 6) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> <U11 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"78\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"28\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"28\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 28.70454756150838,0.0 28.70454756150838,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"14.352274\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >6</text>\n", | |
| " <text x=\"48.704548\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,48.704548,60.000000)\">318</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sonar_beam_group1_attrs</span></div><div class='xr-var-dims'>(echodata_filename, sonar_beam_group1_attr_key)</div><div class='xr-var-dtype'><U8</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(318, 2), meta=np.ndarray></div><input id='attrs-c7058a76-d83a-4ad4-b529-a57c2f3381b1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7058a76-d83a-4ad4-b529-a57c2f3381b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8575998f-650f-42f2-a048-f7f17f8a4158' class='xr-var-data-in' type='checkbox'><label for='data-8575998f-650f-42f2-a048-f7f17f8a4158' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 19.88 kiB </td>\n", | |
| " <td> 19.88 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (318, 2) </td>\n", | |
| " <td> (318, 2) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> <U8 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n", | |
| " <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">318</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source_filenames</span></div><div class='xr-var-dims'>(filenames)</div><div class='xr-var-dtype'><U119</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-2e0c8c57-1393-41d6-b319-bc9b2c2198e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e0c8c57-1393-41d6-b319-bc9b2c2198e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0a8941d-7b14-4b0e-8479-e4abf7507298' class='xr-var-data-in' type='checkbox'><label for='data-c0a8941d-7b14-4b0e-8479-e4abf7507298' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Source filenames</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 147.82 kiB </td>\n", | |
| " <td> 476 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (318,) </td>\n", | |
| " <td> (1,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 318 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> <U119 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
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| " <line x1=\"31\" y1=\"0\" x2=\"31\" y2=\"25\" />\n", | |
| " <line x1=\"37\" y1=\"0\" x2=\"37\" y2=\"25\" />\n", | |
| " <line x1=\"44\" y1=\"0\" x2=\"44\" y2=\"25\" />\n", | |
| " <line x1=\"50\" y1=\"0\" x2=\"50\" y2=\"25\" />\n", | |
| " <line x1=\"56\" y1=\"0\" x2=\"56\" y2=\"25\" />\n", | |
| " <line x1=\"63\" y1=\"0\" x2=\"63\" y2=\"25\" />\n", | |
| " <line x1=\"69\" y1=\"0\" x2=\"69\" y2=\"25\" />\n", | |
| " <line x1=\"75\" y1=\"0\" x2=\"75\" y2=\"25\" />\n", | |
| " <line x1=\"81\" y1=\"0\" x2=\"81\" y2=\"25\" />\n", | |
| " <line x1=\"88\" y1=\"0\" x2=\"88\" y2=\"25\" />\n", | |
| " <line x1=\"94\" y1=\"0\" x2=\"94\" y2=\"25\" />\n", | |
| " <line x1=\"100\" y1=\"0\" x2=\"100\" y2=\"25\" />\n", | |
| " <line x1=\"107\" y1=\"0\" x2=\"107\" y2=\"25\" />\n", | |
| " <line x1=\"113\" y1=\"0\" x2=\"113\" y2=\"25\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >318</text>\n", | |
| " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>top_level_attrs</span></div><div class='xr-var-dims'>(echodata_filename, top_level_attr_key)</div><div class='xr-var-dtype'><U35</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(159, 9), meta=np.ndarray></div><input id='attrs-0fc118e0-5818-435f-9745-db69321f37b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0fc118e0-5818-435f-9745-db69321f37b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28e982c0-5127-4346-8f3e-52c49d6b2243' class='xr-var-data-in' type='checkbox'><label for='data-28e982c0-5127-4346-8f3e-52c49d6b2243' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 391.29 kiB </td>\n", | |
| " <td> 195.64 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (318, 9) </td>\n", | |
| " <td> (159, 9) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 2 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> <U35 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"81\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"31\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"60\" x2=\"31\" y2=\"60\" />\n", | |
| " <line x1=\"0\" y1=\"120\" x2=\"31\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"31\" y1=\"0\" x2=\"31\" y2=\"120\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 31.042805715976424,0.0 31.042805715976424,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"15.521403\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >9</text>\n", | |
| " <text x=\"51.042806\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,51.042806,60.000000)\">318</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vendor_specific_attrs</span></div><div class='xr-var-dims'>(echodata_filename, vendor_specific_attr_key)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(318, 0), meta=np.ndarray></div><input id='attrs-cc00e9f0-171c-4e78-9e87-538d8e1a5ade' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cc00e9f0-171c-4e78-9e87-538d8e1a5ade' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ac89d57-610b-4539-878d-d2d6b3ce12b5' class='xr-var-data-in' type='checkbox'><label for='data-5ac89d57-610b-4539-878d-d2d6b3ce12b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 0 B </td>\n", | |
| " <td> 0 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (318, 0) </td>\n", | |
| " <td> (318, 0) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " \n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>platform_old_time3</span></div><div class='xr-var-dims'>(platform_old_time3_dim)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-08-10T00:00:00.061000192 .....</div><input id='attrs-8ab8903c-e873-4660-8548-b8079daec325' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ab8903c-e873-4660-8548-b8079daec325' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d93d3b97-d8c9-476c-b1d8-a527a182c2dc' class='xr-var-data-in' type='checkbox'><label for='data-d93d3b97-d8c9-476c-b1d8-a527a182c2dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>comment :</span></dt><dd>Uncorrected time3 from the combined group Platform.</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform-related sampling environment</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['2017-08-10T00:00:00.061000192', '2017-08-10T00:00:02.072000000',\n", | |
| " '2017-08-10T00:00:03.074999808', ...,\n", | |
| " '2017-08-31T23:54:57.333000192', '2017-08-31T23:54:58.336000000',\n", | |
| " '2017-08-31T23:54:59.338999808'], dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>platform_old_time2</span></div><div class='xr-var-dims'>(platform_old_time2_dim)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-08-10T00:00:00.061000192 .....</div><input id='attrs-6fd38901-258f-4f6f-bf99-0689cc7c1481' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fd38901-258f-4f6f-bf99-0689cc7c1481' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-defe61c3-cd5b-40dc-9032-f7cb3c760839' class='xr-var-data-in' type='checkbox'><label for='data-defe61c3-cd5b-40dc-9032-f7cb3c760839' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>comment :</span></dt><dd>Uncorrected time2 from the combined group Platform.</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform motion and orientation data</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['2017-08-10T00:00:00.061000192', '2017-08-10T00:00:02.072000000',\n", | |
| " '2017-08-10T00:00:03.074999808', ...,\n", | |
| " '2017-08-31T23:54:57.333000192', '2017-08-31T23:54:58.336000000',\n", | |
| " '2017-08-31T23:54:59.338999808'], dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>environment_old_time1</span></div><div class='xr-var-dims'>(environment_old_time1_dim)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-08-10T00:00:00.061000192 .....</div><input id='attrs-bd3f8342-e86b-4d72-a394-cd4f07ee01cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd3f8342-e86b-4d72-a394-cd4f07ee01cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c75e2538-0e5f-4723-a04e-fb9c61c2fb3a' class='xr-var-data-in' type='checkbox'><label for='data-c75e2538-0e5f-4723-a04e-fb9c61c2fb3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>comment :</span></dt><dd>Uncorrected time1 from the combined group Environment.</dd><dt><span>long_name :</span></dt><dd>Timestamps for NMEA position datagrams</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['2017-08-10T00:00:00.061000192', '2017-08-10T00:00:02.072000000',\n", | |
| " '2017-08-10T00:00:03.074999808', ...,\n", | |
| " '2017-08-31T23:54:57.333000192', '2017-08-31T23:54:58.336000000',\n", | |
| " '2017-08-31T23:54:59.338999808'], dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sonar_beam_group1_old_ping_time</span></div><div class='xr-var-dims'>(sonar_beam_group1_old_ping_time_dim)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-08-10T00:00:00.061000192 .....</div><input id='attrs-d288022f-d532-4701-89b5-4f3cb5f3d10e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d288022f-d532-4701-89b5-4f3cb5f3d10e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86315355-9830-411a-aca8-2c1773a833af' class='xr-var-data-in' type='checkbox'><label for='data-86315355-9830-411a-aca8-2c1773a833af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamp of each ping</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Uncorrected ping_time from the combined group Sonar/Beam_group1.</dd></dl></div><div class='xr-var-data'><pre>array(['2017-08-10T00:00:00.061000192', '2017-08-10T00:00:02.072000000',\n", | |
| " '2017-08-10T00:00:03.074999808', ...,\n", | |
| " '2017-08-31T23:54:57.333000192', '2017-08-31T23:54:58.336000000',\n", | |
| " '2017-08-31T23:54:59.338999808'], dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b689fb5e-4c40-4a75-b409-466f46169c90' class='xr-section-summary-in' type='checkbox' checked><label for='section-b689fb5e-4c40-4a75-b409-466f46169c90' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>conversion_software_name :</span></dt><dd>echopype</dd><dt><span>conversion_software_version :</span></dt><dd>0.6.1.dev187+ga3b3f7f</dd><dt><span>conversion_time :</span></dt><dd>2022-10-07T21:12:58Z</dd><dt><span>duplicate_ping_times :</span></dt><dd>0</dd><dt><span>reversed_ping_times :</span></dt><dd>1</dd></dl></div></li></ul></div></div><br></div>\n", | |
| " </ul>\n", | |
| " </div>\n", | |
| " </li><li class=\"xr-section-list\"><input id=\"idata_3d50967353b91a5a0ee2082fed6e85d5\" class=\"xr-section-summary-in\" type=\"checkbox\">\n", | |
| " <label for=\"idata_3d50967353b91a5a0ee2082fed6e85d5\" class=\"xr-section-summary\">Sonar: contains sonar system metadata and sonar beam groups.</label>\n", | |
| " <div class=\"xr-section-inline-details\"></div>\n", | |
| " <div class=\"xr-section-details\">\n", | |
| " <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n", | |
| " <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n", | |
| "<defs>\n", | |
| "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n", | |
| "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n", | |
| "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", | |
| "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", | |
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| "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n", | |
| "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n", | |
| "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", | |
| "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", | |
| "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", | |
| "</symbol>\n", | |
| "</defs>\n", | |
| "</svg>\n", | |
| "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n", | |
| " *\n", | |
| " */\n", | |
| "\n", | |
| ":root {\n", | |
| " --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n", | |
| " --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n", | |
| " --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n", | |
| " --xr-border-color: var(--jp-border-color2, #e0e0e0);\n", | |
| " --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n", | |
| " --xr-background-color: var(--jp-layout-color0, white);\n", | |
| " --xr-background-color-row-even: var(--jp-layout-color1, white);\n", | |
| " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n", | |
| "}\n", | |
| "\n", | |
| "html[theme=dark],\n", | |
| "body.vscode-dark {\n", | |
| " --xr-font-color0: rgba(255, 255, 255, 1);\n", | |
| " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", | |
| " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", | |
| " --xr-border-color: #1F1F1F;\n", | |
| " --xr-disabled-color: #515151;\n", | |
| " --xr-background-color: #111111;\n", | |
| " --xr-background-color-row-even: #111111;\n", | |
| " --xr-background-color-row-odd: #313131;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-wrap {\n", | |
| " display: block !important;\n", | |
| " min-width: 300px;\n", | |
| " max-width: 700px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-text-repr-fallback {\n", | |
| " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header {\n", | |
| " padding-top: 6px;\n", | |
| " padding-bottom: 6px;\n", | |
| " margin-bottom: 4px;\n", | |
| " border-bottom: solid 1px var(--xr-border-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header > div,\n", | |
| ".xr-header > ul {\n", | |
| " display: inline;\n", | |
| " margin-top: 0;\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type,\n", | |
| ".xr-array-name {\n", | |
| " margin-left: 2px;\n", | |
| " margin-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-sections {\n", | |
| " padding-left: 0 !important;\n", | |
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| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (beam_group: 1)\n", | |
| "Coordinates:\n", | |
| " * beam_group (beam_group) <U11 'Beam_group1'\n", | |
| "Data variables:\n", | |
| " beam_group_descr (beam_group) <U131 dask.array<chunksize=(1,), meta=np.ndarray>\n", | |
| "Attributes:\n", | |
| " sonar_manufacturer: Simrad\n", | |
| " sonar_model: EK60\n", | |
| " sonar_serial_number: \n", | |
| " sonar_software_name: ER60\n", | |
| " sonar_software_version: 2.4.3\n", | |
| " sonar_type: echosounder</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ac80f5f9-d83e-4f8b-be79-2774d87454a8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ac80f5f9-d83e-4f8b-be79-2774d87454a8' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>beam_group</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d38a9cc1-2a2c-4fd4-8a4c-230d135f367c' class='xr-section-summary-in' type='checkbox' checked><label for='section-d38a9cc1-2a2c-4fd4-8a4c-230d135f367c' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam_group</span></div><div class='xr-var-dims'>(beam_group)</div><div class='xr-var-dtype'><U11</div><div class='xr-var-preview xr-preview'>'Beam_group1'</div><input id='attrs-a4676b90-1cc5-4b91-a840-5ba490107a7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4676b90-1cc5-4b91-a840-5ba490107a7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-daeda09a-052b-4d92-bd74-b8517f690ea9' class='xr-var-data-in' type='checkbox'><label for='data-daeda09a-052b-4d92-bd74-b8517f690ea9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Beam group name</dd></dl></div><div class='xr-var-data'><pre>array(['Beam_group1'], dtype='<U11')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-264af8c7-ac20-41ed-bdf8-99bd361bf4df' class='xr-section-summary-in' type='checkbox' checked><label for='section-264af8c7-ac20-41ed-bdf8-99bd361bf4df' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>beam_group_descr</span></div><div class='xr-var-dims'>(beam_group)</div><div class='xr-var-dtype'><U131</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-df57bf28-2885-4f4c-a61a-e7c88775c2f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df57bf28-2885-4f4c-a61a-e7c88775c2f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-931609f2-a6fa-4324-b8fc-51a6c5b464a1' class='xr-var-data-in' type='checkbox'><label for='data-931609f2-a6fa-4324-b8fc-51a6c5b464a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Beam group description</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 524 B </td>\n", | |
| " <td> 524 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (1,) </td>\n", | |
| " <td> (1,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> <U131 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
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| " </td>\n", | |
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| "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-25dc6264-b0ab-4a8b-8483-90ee90b58722' class='xr-section-summary-in' type='checkbox' checked><label for='section-25dc6264-b0ab-4a8b-8483-90ee90b58722' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>sonar_manufacturer :</span></dt><dd>Simrad</dd><dt><span>sonar_model :</span></dt><dd>EK60</dd><dt><span>sonar_serial_number :</span></dt><dd></dd><dt><span>sonar_software_name :</span></dt><dd>ER60</dd><dt><span>sonar_software_version :</span></dt><dd>2.4.3</dd><dt><span>sonar_type :</span></dt><dd>echosounder</dd></dl></div></li></ul></div></div><br></div>\n", | |
| " </ul>\n", | |
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| " <label for=\"idata_49a2425ba51ff1d9d4a168c4583f96de\" class=\"xr-section-summary\">Beam_group1: contains backscatter data (either complex samples or uncalibrated power samples) and other beam or channel-specific data, including split-beam angle data when they exist.</label>\n", | |
| " <div class=\"xr-section-inline-details\"></div>\n", | |
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| " --xr-font-color0: rgba(255, 255, 255, 1);\n", | |
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| " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", | |
| " --xr-border-color: #1F1F1F;\n", | |
| " --xr-disabled-color: #515151;\n", | |
| " --xr-background-color: #111111;\n", | |
| " --xr-background-color-row-even: #111111;\n", | |
| " --xr-background-color-row-odd: #313131;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-wrap {\n", | |
| " display: block !important;\n", | |
| " min-width: 300px;\n", | |
| " max-width: 700px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-text-repr-fallback {\n", | |
| " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header {\n", | |
| " padding-top: 6px;\n", | |
| " padding-bottom: 6px;\n", | |
| " margin-bottom: 4px;\n", | |
| " border-bottom: solid 1px var(--xr-border-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header > div,\n", | |
| ".xr-header > ul {\n", | |
| " display: inline;\n", | |
| " margin-top: 0;\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type,\n", | |
| ".xr-array-name {\n", | |
| " margin-left: 2px;\n", | |
| " margin-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-sections {\n", | |
| " padding-left: 0 !important;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input + label {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label:hover {\n", | |
| " color: var(--xr-font-color0);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary {\n", | |
| " grid-column: 1;\n", | |
| " color: var(--xr-font-color2);\n", | |
| " font-weight: 500;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary > span {\n", | |
| " display: inline-block;\n", | |
| " padding-left: 0.5em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in + label:before {\n", | |
| " display: inline-block;\n", | |
| " content: '►';\n", | |
| " font-size: 11px;\n", | |
| " width: 15px;\n", | |
| " text-align: center;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label:before {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label:before {\n", | |
| " content: '▼';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label > span {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary,\n", | |
| ".xr-section-inline-details {\n", | |
| " padding-top: 4px;\n", | |
| " padding-bottom: 4px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-inline-details {\n", | |
| " grid-column: 2 / -1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-details {\n", | |
| " display: none;\n", | |
| " grid-column: 1 / -1;\n", | |
| " margin-bottom: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked ~ .xr-section-details {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap {\n", | |
| " grid-column: 1 / -1;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 20px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap > label {\n", | |
| " grid-column: 1;\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-preview {\n", | |
| " color: var(--xr-font-color3);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-preview,\n", | |
| ".xr-array-data {\n", | |
| " padding: 0 5px !important;\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-data,\n", | |
| ".xr-array-in:checked ~ .xr-array-preview {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-in:checked ~ .xr-array-data,\n", | |
| ".xr-array-preview {\n", | |
| " display: inline-block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list {\n", | |
| " display: inline-block !important;\n", | |
| " list-style: none;\n", | |
| " padding: 0 !important;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li {\n", | |
| " display: inline-block;\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:before {\n", | |
| " content: '(';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:after {\n", | |
| " content: ')';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li:not(:last-child):after {\n", | |
| " content: ',';\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-has-index {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list,\n", | |
| ".xr-var-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > div,\n", | |
| ".xr-var-item label,\n", | |
| ".xr-var-item > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-even);\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > .xr-var-name:hover span {\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list > li:nth-child(odd) > div,\n", | |
| ".xr-var-list > li:nth-child(odd) > label,\n", | |
| ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-odd);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name {\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dims {\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dtype {\n", | |
| " grid-column: 3;\n", | |
| " text-align: right;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-preview {\n", | |
| " grid-column: 4;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name,\n", | |
| ".xr-var-dims,\n", | |
| ".xr-var-dtype,\n", | |
| ".xr-preview,\n", | |
| ".xr-attrs dt {\n", | |
| " white-space: nowrap;\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
| ".xr-var-dtype:hover,\n", | |
| ".xr-attrs dt:hover {\n", | |
| " overflow: visible;\n", | |
| " width: auto;\n", | |
| " z-index: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " display: none;\n", | |
| " background-color: var(--xr-background-color) !important;\n", | |
| " padding-bottom: 5px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
| ".xr-var-data-in:checked ~ .xr-var-data {\n", | |
| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2 {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (ping_time: 1837920, channel: 3,\n", | |
| " range_sample: 1072, beam: 1)\n", | |
| "Coordinates:\n", | |
| " * beam (beam) <U1 '1'\n", | |
| " * channel (channel) <U39 'GPT 38 kHz 00907208dd13 5...\n", | |
| " * ping_time (ping_time) datetime64[ns] 2017-08-10T00:0...\n", | |
| " * range_sample (range_sample) int64 0 1 2 ... 1069 1070 1071\n", | |
| "Data variables: (12/25)\n", | |
| " angle_alongship (ping_time, channel, range_sample, beam) float64 dask.array<chunksize=(1000, 3, 1072, 1), meta=np.ndarray>\n", | |
| " angle_athwartship (ping_time, channel, range_sample, beam) float64 dask.array<chunksize=(1000, 3, 1072, 1), meta=np.ndarray>\n", | |
| " angle_offset_alongship (channel, ping_time, beam) float64 dask.array<chunksize=(3, 1000, 1), meta=np.ndarray>\n", | |
| " angle_offset_athwartship (channel, ping_time, beam) float64 dask.array<chunksize=(3, 1000, 1), meta=np.ndarray>\n", | |
| " angle_sensitivity_alongship (channel, ping_time, beam) float64 dask.array<chunksize=(3, 1000, 1), meta=np.ndarray>\n", | |
| " angle_sensitivity_athwartship (channel, ping_time, beam) float64 dask.array<chunksize=(3, 1000, 1), meta=np.ndarray>\n", | |
| " ... ...\n", | |
| " offset (channel, ping_time) float64 dask.array<chunksize=(3, 1000), meta=np.ndarray>\n", | |
| " sample_interval (channel, ping_time) float64 dask.array<chunksize=(3, 1000), meta=np.ndarray>\n", | |
| " transmit_bandwidth (channel, ping_time) float64 dask.array<chunksize=(3, 1000), meta=np.ndarray>\n", | |
| " transmit_duration_nominal (channel, ping_time) float64 dask.array<chunksize=(3, 1000), meta=np.ndarray>\n", | |
| " transmit_mode (channel, ping_time) float64 dask.array<chunksize=(3, 1000), meta=np.ndarray>\n", | |
| " transmit_power (channel, ping_time) float64 dask.array<chunksize=(3, 1000), meta=np.ndarray>\n", | |
| "Attributes:\n", | |
| " beam_mode: vertical\n", | |
| " conversion_equation_t: type_3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-07bce67a-00ea-4987-922e-523f5c2f3124' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-07bce67a-00ea-4987-922e-523f5c2f3124' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>ping_time</span>: 1837920</li><li><span class='xr-has-index'>channel</span>: 3</li><li><span class='xr-has-index'>range_sample</span>: 1072</li><li><span class='xr-has-index'>beam</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-31b8484d-9c82-4e9c-bc86-8ca05197034d' class='xr-section-summary-in' type='checkbox' checked><label for='section-31b8484d-9c82-4e9c-bc86-8ca05197034d' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'><U1</div><div class='xr-var-preview xr-preview'>'1'</div><input id='attrs-099a8217-6c22-4e2e-9342-4b3469314965' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-099a8217-6c22-4e2e-9342-4b3469314965' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8366bc6b-3238-4eeb-9288-0d15a8aacc28' class='xr-var-data-in' type='checkbox'><label for='data-8366bc6b-3238-4eeb-9288-0d15a8aacc28' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Beam name</dd></dl></div><div class='xr-var-data'><pre>array(['1'], dtype='<U1')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'><U39</div><div class='xr-var-preview xr-preview'>'GPT 38 kHz 00907208dd13 5-1 OO...</div><input id='attrs-8d12806d-c867-4c57-bd08-f540565469d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d12806d-c867-4c57-bd08-f540565469d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33aaa991-72e2-4dee-8fca-f78b3e97e9c4' class='xr-var-data-in' type='checkbox'><label for='data-33aaa991-72e2-4dee-8fca-f78b3e97e9c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array(['GPT 38 kHz 00907208dd13 5-1 OOI.38|200',\n", | |
| " 'GPT 120 kHz 00907208a0b1 3-1 ES120-7CD',\n", | |
| " 'GPT 200 kHz 00907208dd13 5-2 OOI38|200'], dtype='<U39')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ping_time</span></div><div class='xr-var-dims'>(ping_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-08-10T00:00:00.061000192 .....</div><input id='attrs-24388cca-4e1e-48c2-b0b7-f0165f9c3676' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24388cca-4e1e-48c2-b0b7-f0165f9c3676' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c38b0f0-c4bd-4a75-adf7-e45cd6364375' class='xr-var-data-in' type='checkbox'><label for='data-8c38b0f0-c4bd-4a75-adf7-e45cd6364375' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamp of each ping</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['2017-08-10T00:00:00.061000192', '2017-08-10T00:00:02.072000000',\n", | |
| " '2017-08-10T00:00:03.074999808', ..., '2017-08-31T23:55:24.589000192',\n", | |
| " '2017-08-31T23:55:25.592000000', '2017-08-31T23:55:26.594999808'],\n", | |
| " dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_sample</span></div><div class='xr-var-dims'>(range_sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1068 1069 1070 1071</div><input id='attrs-b9085247-b16c-4981-83fc-1622aa9b6510' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9085247-b16c-4981-83fc-1622aa9b6510' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-793ea5a4-c6ac-47b9-aede-e309e8a47168' class='xr-var-data-in' type='checkbox'><label for='data-793ea5a4-c6ac-47b9-aede-e309e8a47168' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Along-range sample number, base 0</dd></dl></div><div class='xr-var-data'><pre>array([ 0, 1, 2, ..., 1069, 1070, 1071])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f7486b47-f787-47a1-9220-1da0f3c9a1c1' class='xr-section-summary-in' type='checkbox' ><label for='section-f7486b47-f787-47a1-9220-1da0f3c9a1c1' class='xr-section-summary' >Data variables: <span>(25)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>angle_alongship</span></div><div class='xr-var-dims'>(ping_time, channel, range_sample, beam)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1000, 3, 1072, 1), meta=np.ndarray></div><input id='attrs-cb90ce3c-fc57-49a5-b8bc-fcad0d96f24f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb90ce3c-fc57-49a5-b8bc-fcad0d96f24f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-142564ba-a3b7-44af-9e73-a5b99388d137' class='xr-var-data-in' type='checkbox'><label for='data-142564ba-a3b7-44af-9e73-a5b99388d137' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. </dd><dt><span>long_name :</span></dt><dd>electrical alongship angle</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 44.04 GiB </td>\n", | |
| " <td> 24.54 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (1837920, 3, 1072, 1) </td>\n", | |
| " <td> (1000, 3, 1072, 1) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_athwartship</span></div><div class='xr-var-dims'>(ping_time, channel, range_sample, beam)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1000, 3, 1072, 1), meta=np.ndarray></div><input id='attrs-957bd350-6ef6-4086-901e-1cf03da4dadb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-957bd350-6ef6-4086-901e-1cf03da4dadb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b1f8b09-2a54-4cf0-a0f0-1b4202cee2f0' class='xr-var-data-in' type='checkbox'><label for='data-3b1f8b09-2a54-4cf0-a0f0-1b4202cee2f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. </dd><dt><span>long_name :</span></dt><dd>electrical athwartship angle</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 44.04 GiB </td>\n", | |
| " <td> 24.54 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (1837920, 3, 1072, 1) </td>\n", | |
| " <td> (1000, 3, 1072, 1) </td>\n", | |
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| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_offset_alongship</span></div><div class='xr-var-dims'>(channel, ping_time, beam)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000, 1), meta=np.ndarray></div><input id='attrs-ce472046-35ed-4235-9890-a56655d22795' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce472046-35ed-4235-9890-a56655d22795' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb85c6c7-6bfa-4337-b5c2-f1099b4a9574' class='xr-var-data-in' type='checkbox'><label for='data-bb85c6c7-6bfa-4337-b5c2-f1099b4a9574' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. </dd><dt><span>long_name :</span></dt><dd>electrical alongship angle offset of the transducer</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
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| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920, 1) </td>\n", | |
| " <td> (3, 1000, 1) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_offset_athwartship</span></div><div class='xr-var-dims'>(channel, ping_time, beam)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000, 1), meta=np.ndarray></div><input id='attrs-9cb8f55f-e6f8-4d8b-8eb0-026ef72559f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cb8f55f-e6f8-4d8b-8eb0-026ef72559f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c0e3c19-3b41-4c3f-b692-69a09a9294fa' class='xr-var-data-in' type='checkbox'><label for='data-2c0e3c19-3b41-4c3f-b692-69a09a9294fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. </dd><dt><span>long_name :</span></dt><dd>electrical athwartship angle offset of the transducer</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920, 1) </td>\n", | |
| " <td> (3, 1000, 1) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_sensitivity_alongship</span></div><div class='xr-var-dims'>(channel, ping_time, beam)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000, 1), meta=np.ndarray></div><input id='attrs-3463f3e7-929c-408b-ab03-8079afa31233' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3463f3e7-929c-408b-ab03-8079afa31233' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0503dfa7-2ab7-401c-9019-23996f0f1d5a' class='xr-var-data-in' type='checkbox'><label for='data-0503dfa7-2ab7-401c-9019-23996f0f1d5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. </dd><dt><span>long_name :</span></dt><dd>alongship angle sensitivity of the transducer</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920, 1) </td>\n", | |
| " <td> (3, 1000, 1) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_sensitivity_athwartship</span></div><div class='xr-var-dims'>(channel, ping_time, beam)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000, 1), meta=np.ndarray></div><input id='attrs-cf7d61ec-230d-4168-ae81-866af2babcb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf7d61ec-230d-4168-ae81-866af2babcb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38801888-a0f2-433a-95c0-f4c7799c47bd' class='xr-var-data-in' type='checkbox'><label for='data-38801888-a0f2-433a-95c0-f4c7799c47bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. </dd><dt><span>long_name :</span></dt><dd>athwartship angle sensitivity of the transducer</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
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| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920, 1) </td>\n", | |
| " <td> (3, 1000, 1) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| " </tbody>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>backscatter_r</span></div><div class='xr-var-dims'>(ping_time, channel, range_sample, beam)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1000, 3, 1072, 1), meta=np.ndarray></div><input id='attrs-28af1645-b78f-4edb-a8d0-6a5f80d8557a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28af1645-b78f-4edb-a8d0-6a5f80d8557a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b6ec905-659d-40d3-9ed0-99710a3711bf' class='xr-var-data-in' type='checkbox'><label for='data-7b6ec905-659d-40d3-9ed0-99710a3711bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Backscatter power</dd><dt><span>units :</span></dt><dd>dB</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <td>\n", | |
| " <table>\n", | |
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| " <tr>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 44.04 GiB </td>\n", | |
| " <td> 24.54 MiB </td>\n", | |
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| " \n", | |
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| " <td> (1837920, 3, 1072, 1) </td>\n", | |
| " <td> (1000, 3, 1072, 1) </td>\n", | |
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| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
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| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_direction_x</span></div><div class='xr-var-dims'>(channel, ping_time, beam)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000, 1), meta=np.ndarray></div><input id='attrs-986564b0-43d6-40c7-969a-35e1b9399e4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-986564b0-43d6-40c7-969a-35e1b9399e4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-870dd7a5-90bf-4d28-8bdc-4bb2241f441b' class='xr-var-data-in' type='checkbox'><label for='data-870dd7a5-90bf-4d28-8bdc-4bb2241f441b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x-component of the vector that gives the pointing direction of the beam, in sonar beam coordinate system</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_range :</span></dt><dd>[-1.0, 1.0]</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
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| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920, 1) </td>\n", | |
| " <td> (3, 1000, 1) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_direction_y</span></div><div class='xr-var-dims'>(channel, ping_time, beam)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000, 1), meta=np.ndarray></div><input id='attrs-73760d21-6a32-4e7f-8d8f-3fbd3d42e21e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73760d21-6a32-4e7f-8d8f-3fbd3d42e21e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8afb70f6-42b7-415e-979c-9ddec1af86ee' class='xr-var-data-in' type='checkbox'><label for='data-8afb70f6-42b7-415e-979c-9ddec1af86ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y-component of the vector that gives the pointing direction of the beam, in sonar beam coordinate system</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_range :</span></dt><dd>[-1.0, 1.0]</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920, 1) </td>\n", | |
| " <td> (3, 1000, 1) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_direction_z</span></div><div class='xr-var-dims'>(channel, ping_time, beam)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000, 1), meta=np.ndarray></div><input id='attrs-1de2bd78-a2da-453a-8740-ce6056baaea1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1de2bd78-a2da-453a-8740-ce6056baaea1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-262cd6e3-dfa2-4831-9995-2023ecd43f59' class='xr-var-data-in' type='checkbox'><label for='data-262cd6e3-dfa2-4831-9995-2023ecd43f59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z-component of the vector that gives the pointing direction of the beam, in sonar beam coordinate system</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_range :</span></dt><dd>[-1.0, 1.0]</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920, 1) </td>\n", | |
| " <td> (3, 1000, 1) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_type</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-c59a2faf-e248-4d2e-a2a5-e43977a0065d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c59a2faf-e248-4d2e-a2a5-e43977a0065d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ac1361c-36ae-4404-840f-fc5f81c2c284' class='xr-var-data-in' type='checkbox'><label for='data-9ac1361c-36ae-4404-840f-fc5f81c2c284' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>type of transducer (0-single, 1-split)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> int64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beamwidth_twoway_alongship</span></div><div class='xr-var-dims'>(channel, ping_time, beam)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000, 1), meta=np.ndarray></div><input id='attrs-a165edd9-40bc-49ce-9a32-c50307f076a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a165edd9-40bc-49ce-9a32-c50307f076a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-973679cc-a637-48c9-a472-8e596bc16675' class='xr-var-data-in' type='checkbox'><label for='data-973679cc-a637-48c9-a472-8e596bc16675' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders to avoid potential confusion with convention definitions. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. The convention defines one-way transmit or receive beamwidth (beamwidth_receive_minor and beamwidth_transmit_minor), but Simrad echosounders record two-way beamwidth in the data.</dd><dt><span>long_name :</span></dt><dd>Half power two-way beam width along alongship axis of beam</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>[0.0, 360.0]</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920, 1) </td>\n", | |
| " <td> (3, 1000, 1) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beamwidth_twoway_athwartship</span></div><div class='xr-var-dims'>(channel, ping_time, beam)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000, 1), meta=np.ndarray></div><input id='attrs-3f5835bd-9539-4331-a904-dc8b5081fc9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f5835bd-9539-4331-a904-dc8b5081fc9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f010a8a-34a2-4b23-902a-c37136d21e67' class='xr-var-data-in' type='checkbox'><label for='data-1f010a8a-34a2-4b23-902a-c37136d21e67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders to avoid potential confusion with convention definitions. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. The convention defines one-way transmit or receive beamwidth (beamwidth_receive_major and beamwidth_transmit_major), but Simrad echosounders record two-way beamwidth in the data.</dd><dt><span>long_name :</span></dt><dd>Half power two-way beam width along athwartship axis of beam</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>[0.0, 360.0]</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
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| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920, 1) </td>\n", | |
| " <td> (3, 1000, 1) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>count</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-15a3967a-ecd2-4da4-81ad-623e7db789da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15a3967a-ecd2-4da4-81ad-623e7db789da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-add82032-bc20-4d22-bc63-efc96021b96b' class='xr-var-data-in' type='checkbox'><label for='data-add82032-bc20-4d22-bc63-efc96021b96b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Number of samples </dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>data_type</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-28594baa-ec80-4490-856f-95c0a8781b8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28594baa-ec80-4490-856f-95c0a8781b8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-047ca80f-ef31-4d01-9371-b3d6284bef7f' class='xr-var-data-in' type='checkbox'><label for='data-047ca80f-ef31-4d01-9371-b3d6284bef7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>recorded data type (1-power only, 2-angle only 3-power and angle)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>equivalent_beam_angle</span></div><div class='xr-var-dims'>(channel, ping_time, beam)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000, 1), meta=np.ndarray></div><input id='attrs-08a40c27-ff0f-421c-8894-aa43042009db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08a40c27-ff0f-421c-8894-aa43042009db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ef2542e-060a-46c5-99e1-7b3fcf6323c9' class='xr-var-data-in' type='checkbox'><label for='data-5ef2542e-060a-46c5-99e1-7b3fcf6323c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Equivalent beam angle</dd><dt><span>units :</span></dt><dd>sr</dd><dt><span>valid_range :</span></dt><dd>[0.0, 12.566370614359172]</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920, 1) </td>\n", | |
| " <td> (3, 1000, 1) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-c0d69ef9-6e0a-4a37-8a63-0d3f1c3b1544' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0d69ef9-6e0a-4a37-8a63-0d3f1c3b1544' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f8bb355-bf44-4755-85b9-90634ed7a7fc' class='xr-var-data-in' type='checkbox'><label for='data-7f8bb355-bf44-4755-85b9-90634ed7a7fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| " </tbody>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gain_correction</span></div><div class='xr-var-dims'>(channel, ping_time, beam)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000, 1), meta=np.ndarray></div><input id='attrs-c2f07256-5705-4a1a-bd69-f61e31e3b961' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2f07256-5705-4a1a-bd69-f61e31e3b961' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60c91fef-6799-4045-afdb-56aa28cb81f0' class='xr-var-data-in' type='checkbox'><label for='data-60c91fef-6799-4045-afdb-56aa28cb81f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Gain correction</dd><dt><span>units :</span></dt><dd>dB</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
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| " <tr>\n", | |
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| " <th> Array </th>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920, 1) </td>\n", | |
| " <td> (3, 1000, 1) </td>\n", | |
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| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gpt_software_version</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'><U6</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-0707ea06-72e1-4467-b132-29aa6a220284' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0707ea06-72e1-4467-b132-29aa6a220284' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cdb83d6-ba01-4b2b-8104-65be062f0b9b' class='xr-var-data-in' type='checkbox'><label for='data-3cdb83d6-ba01-4b2b-8104-65be062f0b9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 72 B </td>\n", | |
| " <td> 72 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> <U6 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>offset</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-4b171e08-4491-4505-b362-5331cd321139' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b171e08-4491-4505-b362-5331cd321139' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df268fa8-163f-445f-89cd-260eb4f1ab09' class='xr-var-data-in' type='checkbox'><label for='data-df268fa8-163f-445f-89cd-260eb4f1ab09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Offset of first sample</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
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| " <th> Chunk </th>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
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| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
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| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sample_interval</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-bd8b5bed-e731-49c1-b753-78d6f3ff0eda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd8b5bed-e731-49c1-b753-78d6f3ff0eda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcbc9374-a8b8-440f-aa03-8d247f34df7a' class='xr-var-data-in' type='checkbox'><label for='data-bcbc9374-a8b8-440f-aa03-8d247f34df7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Interval between recorded raw data samples</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
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| "\n", | |
| " <!-- Horizontal lines -->\n", | |
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| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
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| " <line x1=\"94\" y1=\"0\" x2=\"94\" y2=\"25\" />\n", | |
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| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
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| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_bandwidth</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-93384989-1b03-4135-97b6-9b3f59768e28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93384989-1b03-4135-97b6-9b3f59768e28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8d6296c-08ec-46e3-850b-6063f20543bc' class='xr-var-data-in' type='checkbox'><label for='data-b8d6296c-08ec-46e3-850b-6063f20543bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Nominal bandwidth of transmitted pulse</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
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| "\n", | |
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| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
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| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
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| " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">3</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_duration_nominal</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-3791d099-90ab-4fec-8c84-81648921b3ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3791d099-90ab-4fec-8c84-81648921b3ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41061408-8c97-43c2-a562-a8b49a1018fd' class='xr-var-data-in' type='checkbox'><label for='data-41061408-8c97-43c2-a562-a8b49a1018fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Nominal bandwidth of transmitted pulse</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
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| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
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| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n", | |
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| "\n", | |
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| " <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >1837920</text>\n", | |
| " <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">3</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_mode</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-33db12cf-64b7-4a8c-a1b1-6c9182fc557d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33db12cf-64b7-4a8c-a1b1-6c9182fc557d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-553bbd4d-b355-4190-a619-d5919ef058e3' class='xr-var-data-in' type='checkbox'><label for='data-553bbd4d-b355-4190-a619-d5919ef058e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>0 = Active, 1 = Passive, 2 = Test, -1 = Unknown</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_power</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 1000), meta=np.ndarray></div><input id='attrs-dc1b7004-3f1f-48e2-afb9-55ce4498e432' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc1b7004-3f1f-48e2-afb9-55ce4498e432' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1528079c-502b-450a-af4d-f0f0b7c871a9' class='xr-var-data-in' type='checkbox'><label for='data-1528079c-502b-450a-af4d-f0f0b7c871a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Nominal transmit power</dd><dt><span>units :</span></dt><dd>W</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
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| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
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| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 42.07 MiB </td>\n", | |
| " <td> 23.44 kiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 1837920) </td>\n", | |
| " <td> (3, 1000) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1838 Chunks </td>\n", | |
| " </tr>\n", | |
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| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| ".xr-var-dims,\n", | |
| ".xr-var-dtype,\n", | |
| ".xr-preview,\n", | |
| ".xr-attrs dt {\n", | |
| " white-space: nowrap;\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
| ".xr-var-dtype:hover,\n", | |
| ".xr-attrs dt:hover {\n", | |
| " overflow: visible;\n", | |
| " width: auto;\n", | |
| " z-index: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " display: none;\n", | |
| " background-color: var(--xr-background-color) !important;\n", | |
| " padding-bottom: 5px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
| ".xr-var-data-in:checked ~ .xr-var-data {\n", | |
| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2 {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (channel: 3, pulse_length_bin: 5)\n", | |
| "Coordinates:\n", | |
| " * channel (channel) <U39 'GPT 38 kHz 00907208dd13 5-1 OOI.38|20...\n", | |
| " * pulse_length_bin (pulse_length_bin) int64 0 1 2 3 4\n", | |
| "Data variables:\n", | |
| " frequency_nominal (channel) float64 dask.array<chunksize=(3,), meta=np.ndarray>\n", | |
| " gain_correction (channel, pulse_length_bin) float64 dask.array<chunksize=(3, 5), meta=np.ndarray>\n", | |
| " pulse_length (channel, pulse_length_bin) float64 dask.array<chunksize=(3, 5), meta=np.ndarray>\n", | |
| " sa_correction (channel, pulse_length_bin) float64 dask.array<chunksize=(3, 5), meta=np.ndarray></pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2590b5a6-0acd-4407-8ad5-0d6cfcfada39' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2590b5a6-0acd-4407-8ad5-0d6cfcfada39' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 3</li><li><span class='xr-has-index'>pulse_length_bin</span>: 5</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d7a1afd1-3e03-4101-ab90-11aa6f3f93d1' class='xr-section-summary-in' type='checkbox' checked><label for='section-d7a1afd1-3e03-4101-ab90-11aa6f3f93d1' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'><U39</div><div class='xr-var-preview xr-preview'>'GPT 38 kHz 00907208dd13 5-1 OO...</div><input id='attrs-02222f75-3552-476c-86d9-510ac00683ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02222f75-3552-476c-86d9-510ac00683ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f417fc8-66df-4623-9587-81c506d948c0' class='xr-var-data-in' type='checkbox'><label for='data-0f417fc8-66df-4623-9587-81c506d948c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array(['GPT 38 kHz 00907208dd13 5-1 OOI.38|200',\n", | |
| " 'GPT 120 kHz 00907208a0b1 3-1 ES120-7CD',\n", | |
| " 'GPT 200 kHz 00907208dd13 5-2 OOI38|200'], dtype='<U39')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>pulse_length_bin</span></div><div class='xr-var-dims'>(pulse_length_bin)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4</div><input id='attrs-7a6394c0-4206-48a0-80c3-46c09f39f4c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7a6394c0-4206-48a0-80c3-46c09f39f4c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad03665a-f535-413a-b6bd-d63f6b2ce659' class='xr-var-data-in' type='checkbox'><label for='data-ad03665a-f535-413a-b6bd-d63f6b2ce659' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66bfa405-240b-4e74-a178-f5df4e083a8d' class='xr-section-summary-in' type='checkbox' checked><label for='section-66bfa405-240b-4e74-a178-f5df4e083a8d' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3,), meta=np.ndarray></div><input id='attrs-83cd6e59-50b1-4430-a041-f98c6d4c9f59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83cd6e59-50b1-4430-a041-f98c6d4c9f59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-151f6514-4c19-4968-a464-6df955433295' class='xr-var-data-in' type='checkbox'><label for='data-151f6514-4c19-4968-a464-6df955433295' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 24 B </td>\n", | |
| " <td> 24 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3,) </td>\n", | |
| " <td> (3,) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"93\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
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| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"43\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,43.88583450710766 0.0,43.88583450710766\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"63.885835\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >3</text>\n", | |
| " <text x=\"140.000000\" y=\"21.942917\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,21.942917)\">1</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gain_correction</span></div><div class='xr-var-dims'>(channel, pulse_length_bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 5), meta=np.ndarray></div><input id='attrs-ad241886-88a5-4644-b59a-b348a5a88f67' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad241886-88a5-4644-b59a-b348a5a88f67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb461195-783d-4b2c-b8a8-459d6f336b70' class='xr-var-data-in' type='checkbox'><label for='data-cb461195-783d-4b2c-b8a8-459d6f336b70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 120 B </td>\n", | |
| " <td> 120 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 5) </td>\n", | |
| " <td> (3, 5) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"122\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
| " <!-- Horizontal lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"72\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"72\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n", | |
| "\n", | |
| " <!-- Colored Rectangle -->\n", | |
| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,72.0 0.0,72.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
| "\n", | |
| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"92.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5</text>\n", | |
| " <text x=\"140.000000\" y=\"36.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,36.000000)\">3</text>\n", | |
| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pulse_length</span></div><div class='xr-var-dims'>(channel, pulse_length_bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 5), meta=np.ndarray></div><input id='attrs-fad49456-aeed-4e9f-a300-d7257ab2e02e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fad49456-aeed-4e9f-a300-d7257ab2e02e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0d0ddb3-b20e-4f54-8f0f-928e3668f3b2' class='xr-var-data-in' type='checkbox'><label for='data-e0d0ddb3-b20e-4f54-8f0f-928e3668f3b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 120 B </td>\n", | |
| " <td> 120 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 5) </td>\n", | |
| " <td> (3, 5) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
| " <td>\n", | |
| " <svg width=\"170\" height=\"122\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
| "\n", | |
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| " <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
| " <line x1=\"0\" y1=\"72\" x2=\"120\" y2=\"72\" style=\"stroke-width:2\" />\n", | |
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| " <!-- Vertical lines -->\n", | |
| " <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"72\" style=\"stroke-width:2\" />\n", | |
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| " <polygon points=\"0.0,0.0 120.0,0.0 120.0,72.0 0.0,72.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
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| " <!-- Text -->\n", | |
| " <text x=\"60.000000\" y=\"92.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5</text>\n", | |
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| "</svg>\n", | |
| " </td>\n", | |
| " </tr>\n", | |
| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sa_correction</span></div><div class='xr-var-dims'>(channel, pulse_length_bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(3, 5), meta=np.ndarray></div><input id='attrs-84ef5efa-3937-46e9-9a31-aac57b0b1822' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84ef5efa-3937-46e9-9a31-aac57b0b1822' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-769dbf71-1574-4574-98ad-84ae941cbda3' class='xr-var-data-in' type='checkbox'><label for='data-769dbf71-1574-4574-98ad-84ae941cbda3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table>\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 120 B </td>\n", | |
| " <td> 120 B </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (3, 5) </td>\n", | |
| " <td> (3, 5) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Count </th>\n", | |
| " <td> 2 Graph Layers </td>\n", | |
| " <td> 1 Chunks </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Type </th>\n", | |
| " <td> float64 </td>\n", | |
| " <td> numpy.ndarray </td>\n", | |
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| " </tbody>\n", | |
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| " </td>\n", | |
| " <td>\n", | |
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| "text/plain": [ | |
| "<EchoData: standardized raw data from /home/lsetiawan/GitRepos/GitHub/echopype/don_dev/CombineEchodataCheck/combined.zarr>\n", | |
| "Top-level: contains metadata about the SONAR-netCDF4 file format.\n", | |
| "├── Environment: contains information relevant to acoustic propagation through water.\n", | |
| "├── Platform: contains information about the platform on which the sonar is installed.\n", | |
| "│ └── NMEA: contains information specific to the NMEA protocol.\n", | |
| "├── Provenance: contains metadata about how the SONAR-netCDF4 version of the data were obtained.\n", | |
| "├── Sonar: contains sonar system metadata and sonar beam groups.\n", | |
| "│ └── Beam_group1: contains backscatter data (either complex samples or uncalibrated power samples) and other beam or channel-specific data, including split-beam angle data when they exist.\n", | |
| "└── Vendor_specific: contains vendor-specific information about the sonar and the data." | |
| ] | |
| }, | |
| "execution_count": 29, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "2022-10-07 14:29:47,789 - distributed.nanny - ERROR - Worker process died unexpectedly\n", | |
| "2022-10-07 14:29:47,791 - distributed.nanny - ERROR - Worker process died unexpectedly\n", | |
| "2022-10-07 14:29:47,793 - distributed.nanny - ERROR - Worker process died unexpectedly\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "combined" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "id": "39e5037c-3003-44e0-b6ff-a5047c6e4ba8", | |
| "metadata": {}, | |
| "outputs": [], | |
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| } |
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