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    <description>&amp;amp;[Wolfram Notebook][1]&#xD;
&#xD;
&#xD;
  [1]: https://www.wolframcloud.com/obj/51bb5224-a2a1-43e3-9c29-5dc49e1f0930</description>
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    <description>![Aliens? Or weather balloons? You decide!][1]&#xD;
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&amp;amp;[Wolfram Notebook][2]&#xD;
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  [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=AliensOrWeatherBalloonsYouDecide.jpg&amp;amp;userId=20103&#xD;
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    <description>&amp;amp;[Wolfram Notebook][1]&#xD;
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&#xD;
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&amp;amp;[Wolfram Notebook][2]&#xD;
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    <description>[![Diffusion Cartograms: implementation of the Gastner&amp;#x2014;Newman density-equalising map algorithm][1]][2]&#xD;
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&amp;amp;[Wolfram Notebook][3]&#xD;
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  [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=DiffusionCartogramsimplementationoftheGastner%E2%80%94Newmandensity-equalisingmapalgorithm.png&amp;amp;userId=20103&#xD;
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    <description>![Click-and-drag map projection distortion in The Wolfram Language][1]&#xD;
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&amp;amp;[Wolfram Notebook][2]&#xD;
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  [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=Click-and-dragMapProjectionDistortion-optimize.gif&amp;amp;userId=20103&#xD;
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&amp;amp;[Wolfram Notebook][2]&#xD;
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&#xD;
&amp;amp;[Wolfram Notebook][2]&#xD;
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&#xD;
  [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=Main15042025.png&amp;amp;userId=20103&#xD;
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&amp;amp;[Wolfram Notebook][2]&#xD;
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&amp;amp;[Wolfram Notebook][2]&#xD;
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  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3584377">
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&#xD;
&amp;amp;[Wolfram Notebook][2]&#xD;
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  </item>
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    <description>![enter image description here][1]&#xD;
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&amp;amp;[Wolfram Notebook][2]&#xD;
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&#xD;
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  [Backup GIF]: https://community.wolfram.com//c/portal/getImageAttachment?filename=USDM20102021Reduced.gif&amp;amp;userId=1539902&#xD;
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  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3027155">
    <title>[DATASCIFRI] Data Science Fridays: Dive into Data!</title>
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    <description>Hi everybody! We&amp;#039;re running a series of Data Science Friday webinars starting this coming Friday (Oct. 6, 2023) and running through the end of the month. This series will help you get a sense of how to work with data in Wolfram Language&amp;#x2014;importing, cleaning, visualizing and more with data spanning from traffic cameras to geological surveys to Mars and even other galaxies!&#xD;
&#xD;
![enter image description here][1]&#xD;
&#xD;
The first webinar&amp;#x2014;again, that&amp;#039;s this Friday, October 6 2023&amp;#x2014;will be lead by [@Tom Sherlock][at0] and will cover how to create the amazing images he shows [in this notebook][2] by using data from the James Webb Space Telescope. This webinar will primarily focus on image analysis and construction, with later webinars focusing on video creation, geographic visualization and even a combination of graph theory, image processing and machine learning.&#xD;
&#xD;
You can register for this series [**HERE**.][3] All sessions will start at noon Central US time. Remember that even if you can&amp;#039;t make it to every Friday session, registration means that you&amp;#039;ll get a link to the recordings delivered right to your inbox. We hope to see you there!&#xD;
&#xD;
I will update this post each week with information on that Friday&amp;#039;s presentation; please feel free to post follow-up questions or comments here as well.&#xD;
&#xD;
![enter image description here][4]&#xD;
&#xD;
 [at0]: https://community.wolfram.com/web/sherlock&#xD;
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&#xD;
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  [3]: https://www.bigmarker.com/series/data-science-friday-2023/series_details?utm_bmcr_source=community&#xD;
  [4]: https://community.wolfram.com//c/portal/getImageAttachment?filename=WolframUBanner.jpg&amp;amp;userId=1711324</description>
    <dc:creator>Arben Kalziqi</dc:creator>
    <dc:date>2023-10-04T18:43:29Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3562391">
    <title>AI assisted access of Garmin FIT data via Python interface</title>
    <link>https://community.wolfram.com/groups/-/m/t/3562391</link>
    <description>&amp;amp;[Wolfram Notebook][1]&#xD;
&#xD;
&#xD;
  [1]: https://www.wolframcloud.com/obj/d5e6a993-0d86-4c39-91b4-64b5395231f5</description>
    <dc:creator>Robert Rimmer</dc:creator>
    <dc:date>2025-10-18T21:19:05Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3563534">
    <title>Geometry and Symmetry Chapter 5:  Dynamical Transformation Functions</title>
    <link>https://community.wolfram.com/groups/-/m/t/3563534</link>
    <description>In this preliminary post I introduce the idea of dynamical Transformation Functions, that is, the situation where the Transformation Matrices have functions rather than numbers as entries.  I apply this specifically in the case of even (direct) isometries of real 3-space.  I introduce DITF format which is independent of the construction of the transformation function. I give a geometrical interpretation which shows motion in space not only the position but also the orientation of the object.  Several examples are given.</description>
    <dc:creator>Barry H Dayton</dc:creator>
    <dc:date>2025-10-22T00:17:13Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3561569">
    <title>Access and visualize Garmin FIT data: nocturnal oxygen saturation, hike activity and GPS</title>
    <link>https://community.wolfram.com/groups/-/m/t/3561569</link>
    <description>![Access and visualize Garmin FIT data: nocturnal oxygen saturation, hike activity and GPS][1]&#xD;
&#xD;
&amp;amp;[Wolfram Notebook][2]&#xD;
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&#xD;
  [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=AccessGarminFITdata.png&amp;amp;userId=20103&#xD;
  [2]: https://www.wolframcloud.com/obj/d850ec9f-3211-42e9-b588-52137915717f</description>
    <dc:creator>Robert Rimmer</dc:creator>
    <dc:date>2025-10-16T18:53:49Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3549441">
    <title>Visualizing remote sensing (NASA Earth observation system) data</title>
    <link>https://community.wolfram.com/groups/-/m/t/3549441</link>
    <description>A huge number of ingest site data repositories for Earth-orbiting data sensors store and publish their data in HDF file format. The HDF Group -- a spinoff from the UIUC-NCSA -- supports users of HDF datasets, including users of the NASA EOS. The HDF Group EOS support effort includes a large, on-line catalog of examples of accessing, processing, analyzing and visualizing the NASA EOS data files using the popularly used tools among Earth and Atmospheric scientists: NCL, IDL and MATLAB -- absent Mathematica. &#xD;
&#xD;
The attached Mathematica notebooks are attempts to replicate the HDF Group&amp;#039;s hosted EOS examples in a similar style using Mathematica. &#xD;
&#xD;
 - AIRS_L3_Temperature_MW_A_Lvls11.nb: Visualize a GESDISC_AIRS HDF-EOS2 Grid data file in Mathematica&#xD;
&#xD;
 - Q20111212011151_L3m_MO_SCISM_V1_0_SSS_1deg_h5.nb: Visualization of a Level-3 gridded Aquarius simulation HDF5 dataset of Monthly (MO) Sea-Surface Salinity (SSS) from the NASA PO.DAAC (Physical Oceanography Distributed Active Archive Data Center)&#xD;
&#xD;
&amp;amp;[Wolfram Notebook][1]&#xD;
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&amp;amp;[Wolfram Notebook][2]&#xD;
&#xD;
&#xD;
  [1]: https://www.wolframcloud.com/obj/de5dcedb-f484-4586-a238-571876a9b23b&#xD;
  [2]: https://www.wolframcloud.com/obj/d966b998-3937-4fa9-87fb-63554afcf9ad</description>
    <dc:creator>Stewart Dickson</dc:creator>
    <dc:date>2025-09-22T22:44:38Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3539980">
    <title>When does it get warm? A function for urban warming trends via min/max temp thresholds</title>
    <link>https://community.wolfram.com/groups/-/m/t/3539980</link>
    <description>&amp;amp;[Wolfram Notebook][1]&#xD;
&#xD;
&#xD;
  [1]: https://www.wolframcloud.com/obj/a494cc46-526d-4874-aca3-5df7ea0fc3a5</description>
    <dc:creator>George Woodrow III</dc:creator>
    <dc:date>2025-09-04T14:59:11Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3234937">
    <title>Earth&amp;#039;s hottest day ever recorded - July 22, 2024 - analyzed and visualized through climate data</title>
    <link>https://community.wolfram.com/groups/-/m/t/3234937</link>
    <description>![Earth&amp;#039;s hottest day ever recorded - July 22, 2024 - analysed and visualized through climate data A plot of daily global surface air temperature by year from 1940-2024, and accompanying heatmap][1]&#xD;
&#xD;
&amp;amp;[Wolfram Notebook][2]&#xD;
&#xD;
  [backup]: https://community.wolfram.com//c/portal/getImageAttachment?filename=Hottestdayonearth-banner.png&amp;amp;userId=2591433&#xD;
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  [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=6595_FILScreenshot2024-07-25at4.10.36%E2%80%AFPM.jpg&amp;amp;userId=11733&#xD;
  [2]: https://www.wolframcloud.com/obj/8eefb2b4-6f82-4da6-999f-3c60054be64e</description>
    <dc:creator>Phileas Dazeley-Gaist</dc:creator>
    <dc:date>2024-07-25T20:38:59Z</dc:date>
  </item>
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