Elecfreaks · micro:bit Series
IoT & Environmental Sensing

micro:bit
Smart Climate Kit

Bring meteorology and IoT into the classroom. Students monitor real environmental data — wind speed, air quality, UV levels, temperature, and humidity — and upload it live to the cloud using micro:bit V2.

🌡️ 4 Environmental Sensors ☁️ Cloud Data Upload 📡 IoT Connectivity 📈 Real-Time Monitoring
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micro:bit Smart Climate Kit
🌡️ Smart Climate Kit
4
Sensors
5
Projects
IoT
Cloud Ready
🌞
Real-time environmental data
monitoring & cloud analytics

Where Meteorology Meets IoT Technology

The micro:bit Smart Climate Kit is an innovative STEAM product that teaches students to monitor, record, and analyze environmental data in real time — then upload it to the cloud for deeper investigation. Built on micro:bit V2 and the IOT:bit expansion board, it bridges the physical world and the digital one.

🌡️
Multi-Sensor Environmental Monitoring
Wind speed, dust concentration, UV intensity, and temperature & humidity sensors work together to build a complete picture of local climate conditions.
☁️
Live Cloud Data Upload
The IOT:bit's built-in WiFi module connects students' experiments directly to cloud platforms, enabling real-world IoT data workflows and remote monitoring.
📈
OLED Display for Instant Feedback
A 0.96" high-contrast OLED screen displays all sensor readings in real time, giving students immediate visual feedback as they conduct experiments.

Designed for Scientific Discovery

Every component is chosen to connect classroom science to the real world — giving students the tools to ask questions, collect data, and draw conclusions like working scientists.

🌐
Real-World Data Collection
Students don't simulate climate data — they collect it. Live readings from multiple sensors make every session a genuine scientific investigation.
📡
IoT & Cloud Integration
Built-in WiFi via the IOT:bit board connects student experiments to cloud platforms, introducing the Internet of Things in a hands-on, meaningful context.
💻
micro:bit V2 Powered
Programmed with Microsoft MakeCode, Python, or JavaScript — industry-standard tools that give students a foundation for real software development.
📊
Data Analysis Skills
Collecting, visualizing, and interpreting environmental data builds critical scientific thinking and data literacy — essential 21st-century skills.
Real-Time Clock Built In
The IOT:bit's integrated RTC module timestamps all sensor readings, enabling time-series data analysis and true longitudinal experiments.
🏭
STEAM Curriculum Aligned
Spans meteorology, environmental science, computer science, and engineering — naturally integrating multiple STEAM disciplines in every project.

Key Hardware Components

A complete set of professional-grade sensing and computing hardware ready to build a functional IoT weather station from day one.

Controller
micro:bit V2 + IOT:bit
SKU: EF08314
The micro:bit V2 is the programmable brain — a pocket-sized computer with built-in sensors, LEDs, and wireless connectivity. The IOT:bit expansion board unlocks WiFi, an RTC module, a buzzer, and 14 GPIO ports for connecting all sensors.
WiFi Module1 × (IOT:bit onboard)
RTC Module1 × (for timestamping)
Buzzer1 × (onboard)
IIC Ports3 ×
GPIO Ports14 ×
PowerUSB 5V / 800 mA
Sensor
Wind Speed Sensor
Octopus Connector · Waterproof
A weatherproof anemometer-style sensor that outputs a voltage signal proportional to wind speed, enabling students to build real meteorological measurement tools and understand wind energy concepts.
OutputAnalog voltage
ConnectorOctopus (GVS)
ProtectionWaterproof
MeasuresWind speed (m/s)
Sensor
Dust Sensor
PM2.5 Particulate Detection
Uses infrared light scattering to detect fine particulate matter between 0.5–2.5 micrometers. Outputs a voltage signal proportional to particulate concentration, enabling real air quality monitoring and pollution studies.
Detection Range0.5 – 2.5 µm particles
MethodInfrared light scattering
OutputAnalog voltage (proportional)
UsePM2.5 air quality index
Sensors + Display
Temp/Humidity, UV & OLED
3-in-1 Sensing & Output
The temperature & humidity sensor provides real-time ambient readings. The UV sensor captures solar radiation intensity with high sensitivity and fast response. The 0.96" OLED (SSD1306, 128×64) renders all data with crisp contrast for immediate visualization.
Temp & HumidityReal-time ambient sensing
UV SensorHigh sensitivity, fast response
OLED Size0.96" / 128 × 64 px
OLED DriverSSD1306
OLED TypeSelf-luminous, low power

What's Included

Everything needed to build a fully functional IoT weather station — out of the box, ready to program.

🤖
micro:bit V2
× 1 (Optional)
🔌
IOT:bit Expansion Board
× 1
🌬
Wind Speed Sensor
× 1
🏭
Dust Sensor
× 1
🌡️
Temp & Humidity Sensor
× 1
☀️
UV Sensor
× 1
📺
OLED Display (0.96")
× 1
🔩
R3090 Rivets
× 10
🔩
R4080 Rivets
× 20
📸
USB Cable
× 1

What Students Build & Investigate

Five project-based challenges that combine sensor programming, data analysis, and IoT connectivity into progressive STEAM experiences.

01
Wind Speed Station
Program the wind speed sensor to measure and display anemometer readings in real time, exploring the relationship between wind energy and voltage output.
02
Connect all four sensors simultaneously to build a complete local weather station that logs temperature, humidity, UV index, and wind speed simultaneously on the OLED display.
Multi-Sensor Weather Station
03
Air Quality Monitor
Use the dust sensor to detect PM2.5 particulate concentrations indoors and outdoors, building understanding of air pollution sources and their measurement.
04
UV Index Tracker
Monitor solar UV radiation across different times and conditions, then program alerts when UV levels exceed safe thresholds — connecting science to personal health decisions.
05
IoT Cloud Dashboard
Upload live sensor data to a cloud platform via the IOT:bit's WiFi module, building a real-time remote monitoring dashboard — a genuine IoT engineering project.

Full Specifications

Smart Climate Kit — General
Product Namemicro:bit Smart Climate Kit
SKUEF08314
Dimensions205 × 130 × 70 mm
Gross Weight316 g
Power SupplyUSB 5V
Power Current800 mA
Programming PlatformsMakeCode, Python, JavaScript
ConnectivityWiFi (IOT:bit onboard)
Cloud SupportYes
IOT:bit Expansion Board
WiFi Module1 × (onboard)
RTC Module1 × (onboard)
Buzzer1 × (onboard)
IIC Ports3 ×
GPIO Ports14 ×
Sensors IncludedWind Speed, Dust, Temp/Humidity, UV
Display0.96" OLED / 128 × 64 px (SSD1306)
Dust Sensor Range0.5 – 2.5 µm particulates
UV SensorHigh sensitivity, fast response, high stability

Skills Students Develop

🌞
Meteorology & Climate Science
Students investigate real atmospheric phenomena — wind, humidity, UV radiation, and air quality — connecting classroom lessons to the natural world.
📈
Data Collection & Analysis
Recording, graphing, and interpreting multi-source environmental data builds scientific literacy and analytical thinking essential across all STEAM disciplines.
📡
IoT & Systems Thinking
Connecting physical sensors to cloud platforms introduces students to the Internet of Things architecture that underpins smart cities and modern infrastructure.
💻
Programming & Computational Thinking
Sequencing sensor reads, conditionals, loops, and wireless data transmission through MakeCode or Python — real coding with real-world outcomes.

Bring Climate Science to Life in Your Classroom

Contact us for pricing, curriculum alignment guides, and professional development support.