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title: ISLS Showcases
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      <h4>
        Presenting Showcases for “senseBox and openSenseMap” as a Learning Suite
        for Computer-, Data- and Scientific Literacy
      </h4>
      <h6>Mario Pesch, Thomas Bartoschek, Angela Schwering</h6>
      <p>Feel free to browse through the showcases and the openSenseMap. If you have any questions get in contact with me in gather.town or write me an <a href="mailto://mario.pesch@uni-muenster.de" target="_blank">e-mail</a></p>
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      <h4>senseBox</h4>
      <p>The senseBox is a DIY-toolkit for building environmental monitoring stations. A custom
        designed microcontroller with simple connectors, which is Arduino compatible, makes it easy to setup the device
        and works without any software installation. Sensors for temperature, humidity, UV-light, luminance, air pressure,
        an accelerometer, a 3-axis gyroscope and a compass sensor are included in the senseBox:edu toolkit. Besides the
        sensors the senseBox:edu includes an OLED display, a microphone, ultrasonic distance sensor, and basic
        electronic components such as resistors or LEDs. For connecting the senseBox to the internet, it has an attachable
        WiFi Module which uses the Xbee-Standard. The senseBox is not a closed system, as there are more additional
        environmental sensors and data transmission modules available. There are sensors for particulate matter, water
        temperature, a GPS Module or soil moisture but also a LoRa, Ethernet, GSM or Bluetooth Modules for data
        transmission available. Data can also be collected on a SD-Card or directly sent to the openSenseMap.</p>
        <img loading="lazy" src="/images/products/scheme_edu.jpeg" alt="scheme-edu" data-zoomable />
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      <h4>The Learn- and Programming Environment</h4>
      <p>You can find the learn and programming environment at <a href="https://blockly-react.netlify.app/" target="_blank">blockly.sensebox.de</a></p>
      <p>Use the build in tour (klick on the questionsmark top right) to get a first introduction</p>
      <img loading="lazy" src="/images/blockly/blockly_overview.jpeg" alt="blockly-overview" data-zoomable />
      <ol>
        <li> Showcase 1: Upload sensordata to the openSenseMap: <a href="https://blockly-react.netlify.app/gallery/629f7f03f2658c0012de7c4c" target="_blank">klick</a></li>
        <li> Showcase 2: Offline Data mapping with GPS <a href="https://blockly-react.netlify.app/gallery/619a66dd830e50001899a111" target="_blank">klick</a></li>
      </ol>
      <p>Beside the two showcases please have a look at the tutorial system. Most tutorials are in german but you can browse through two different tutorials in english. Get in contact with me if you want to see how a tutorial can be created.</p>
      <ol>
        <li> Tutorial 1: <a href="https://blockly-react.netlify.app/tutorial/626e6cc5f2658c0012de5994" target="_blank">klick</a></li>
        <li> Tutorial 2: <a href="https://blockly-react.netlify.app/tutorial/626e7524f2658c0012de5a04" target="_blank">klick</a></li>
      </ol>
      <p>The application is open source and you can find the code on <a href="https://github.com/sensebox/React-Ardublockly">Github</a></p>
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      <h4>openSenseMap</h4>
      <p>You can find the openSenseMap at <a href="https://opensensemap.org">https://opensensemap.org</a></p>
      {% include youtube.html id = "1Sd4O7Jjg5s" %}
      <p>Locate yourself on the map and find the nearest sensor station to you. Grey boxes mean they are not online at the moment, green boxes have live data. </p>
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