{
  "id": 548251,
  "title": "Finding Reference Station Data for Google Smartphone Decimeter Challenge",
  "url": "/competitions/smartphone-decimeter-2023/discussion/548251",
  "author_name": "",
  "post_date": "2024-11-25T20:15:27.721295700Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p><em>Key words: OSR, correction data, RTK, DGNSS, navigation message, ephemeris, RINEX files</em></p>\n<p>Hello participants!</p>\n<p>First, a big thank you for taking part in the Google Smartphone Decimeter Challenge (GSDC) 2023-2024! The competition may have ended a few months ago, but it’s inspiring to see the continued interest and engagement from the community.</p>\n<p>One common question I’ve been receiving is about locating reference station observation RINEX files to complement the datasets used in the challenge. If you’re looking for these files, I recommend checking out a fantastic Python script by Tim Everett, the author of RTKLIB-Explorer and a 3rd place winner of GSDC 2022.</p>\n<p>The script is part of his Kaggle notebook, <a href=\"https://www.kaggle.com/code/timeverett/getting-started-with-rtklib?scriptVersionId=102285978&amp;cellId=3\" target=\"_blank\">Getting Started with RTKLIB</a>, specifically the section titled \"<em>Step 1: Retrieve base observation and satellite navigation files.</em>\"</p>\n<p>This tool simplifies the process of fetching observation RINEX files and navigation ephemeris RINEX files. It automatically retrieves data from three CORS stations:</p>\n<ul>\n<li>SLAC (Bay Area)</li>\n<li>VDCY (Los Angeles)</li>\n<li>P222 (Los Angeles)</li>\n</ul>\n<p>All you need is the date and time of your observation to get started!</p>\n<p>I hope this resource helps answer your questions and streamlines your work with the datasets. If you have any further queries or suggestions, feel free to share them here!</p>\n<p>Happy coding, and thank you for being part of the Google SDC community!</p>",
  "messages": [
    {
      "id": "3055499",
      "postDate": "11/25/2024 20:15:27",
      "content": "<p><em>Key words: OSR, correction data, RTK, DGNSS, navigation message, ephemeris, RINEX files</em></p>\n<p>Hello participants!</p>\n<p>First, a big thank you for taking part in the Google Smartphone Decimeter Challenge (GSDC) 2023-2024! The competition may have ended a few months ago, but it’s inspiring to see the continued interest and engagement from the community.</p>\n<p>One common question I’ve been receiving is about locating reference station observation RINEX files to complement the datasets used in the challenge. If you’re looking for these files, I recommend checking out a fantastic Python script by Tim Everett, the author of RTKLIB-Explorer and a 3rd place winner of GSDC 2022.</p>\n<p>The script is part of his Kaggle notebook, <a href=\"https://www.kaggle.com/code/timeverett/getting-started-with-rtklib?scriptVersionId=102285978&amp;cellId=3\" target=\"_blank\">Getting Started with RTKLIB</a>, specifically the section titled \"<em>Step 1: Retrieve base observation and satellite navigation files.</em>\"</p>\n<p>This tool simplifies the process of fetching observation RINEX files and navigation ephemeris RINEX files. It automatically retrieves data from three CORS stations:</p>\n<ul>\n<li>SLAC (Bay Area)</li>\n<li>VDCY (Los Angeles)</li>\n<li>P222 (Los Angeles)</li>\n</ul>\n<p>All you need is the date and time of your observation to get started!</p>\n<p>I hope this resource helps answer your questions and streamlines your work with the datasets. If you have any further queries or suggestions, feel free to share them here!</p>\n<p>Happy coding, and thank you for being part of the Google SDC community!</p>",
      "rawMarkdown": "*Key words: OSR, correction data, RTK, DGNSS, navigation message, ephemeris, RINEX files*\n\nHello participants!\n\nFirst, a big thank you for taking part in the Google Smartphone Decimeter Challenge (GSDC) 2023-2024! The competition may have ended a few months ago, but it’s inspiring to see the continued interest and engagement from the community.\n\nOne common question I’ve been receiving is about locating reference station observation RINEX files to complement the datasets used in the challenge. If you’re looking for these files, I recommend checking out a fantastic Python script by Tim Everett, the author of RTKLIB-Explorer and a 3rd place winner of GSDC 2022.\n\nThe script is part of his Kaggle notebook, [Getting Started with RTKLIB](https://www.kaggle.com/code/timeverett/getting-started-with-rtklib?scriptVersionId=102285978&cellId=3), specifically the section titled \"*Step 1: Retrieve base observation and satellite navigation files.*\"\n\nThis tool simplifies the process of fetching observation RINEX files and navigation ephemeris RINEX files. It automatically retrieves data from three CORS stations:\n\n- SLAC (Bay Area)\n- VDCY (Los Angeles)\n- P222 (Los Angeles)\n\nAll you need is the date and time of your observation to get started!\n\nI hope this resource helps answer your questions and streamlines your work with the datasets. If you have any further queries or suggestions, feel free to share them here!\n\nHappy coding, and thank you for being part of the Google SDC community!",
      "votes": null
    },
    {
      "id": "3069463",
      "postDate": "12/11/2024 14:07:16",
      "content": "<p>Hello,Will the official “true value (reference value)” used to judge the scores in the test set be announced?</p>",
      "rawMarkdown": "Hello,Will the official “true value (reference value)” used to judge the scores in the test set be announced?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3069463,
      "author_name": "kucehui",
      "author_url": "",
      "post_date": "12/11/2024 14:07:16",
      "content": "<p>Hello,Will the official “true value (reference value)” used to judge the scores in the test set be announced?</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3055499": "*Key words: OSR, correction data, RTK, DGNSS, navigation message, ephemeris, RINEX files*\n\nHello participants!\n\nFirst, a big thank you for taking part in the Google Smartphone Decimeter Challenge (GSDC) 2023-2024! The competition may have ended a few months ago, but it’s inspiring to see the continued interest and engagement from the community.\n\nOne common question I’ve been receiving is about locating reference station observation RINEX files to complement the datasets used in the challenge. If you’re looking for these files, I recommend checking out a fantastic Python script by Tim Everett, the author of RTKLIB-Explorer and a 3rd place winner of GSDC 2022.\n\nThe script is part of his Kaggle notebook, [Getting Started with RTKLIB](https://www.kaggle.com/code/timeverett/getting-started-with-rtklib?scriptVersionId=102285978&cellId=3), specifically the section titled \"*Step 1: Retrieve base observation and satellite navigation files.*\"\n\nThis tool simplifies the process of fetching observation RINEX files and navigation ephemeris RINEX files. It automatically retrieves data from three CORS stations:\n\n- SLAC (Bay Area)\n- VDCY (Los Angeles)\n- P222 (Los Angeles)\n\nAll you need is the date and time of your observation to get started!\n\nI hope this resource helps answer your questions and streamlines your work with the datasets. If you have any further queries or suggestions, feel free to share them here!\n\nHappy coding, and thank you for being part of the Google SDC community!",
    "3069463": "Hello,Will the official “true value (reference value)” used to judge the scores in the test set be announced?"
  },
  "source": "meta"
}