Web-app for processing, logging and visualising energy, temperature and other environmental data

Leaflet plugin to add visualisation overlay for wind direction, velocity, and temperature

This project includes monitoring temperature, humidity and moisture in agricultural field through sensors DHT11, YL69. It will turn ON/OFF motor on the basis of soil moisture and also visualise real time data by using ThingsBoard.

A custom Home Assistant card that visualises indoor air comfort using temperature and humidity

A D3 visualisation of the UK temperature using data from the Met Office.

Visualisation of daily-averaged global wind and temperature over a year in WebGL

Using a variety of sensors, such as the BME280 temperature, humidity and pressure sensor; the MCP9808 high accuracy temperature sensor; the TSL2561 luminosity sensor; the MS430 temperature, humidity, pressure, sound, light and air quality sensor; the Enviro pHAT from Pimoroni and any other sensors that I may add in the future. Data is sent via MQTT, which is then visualised via Grafana (using Telegram and InfluxDB). Sensors are usually connected to a Raspberry Pi or a ESP8266 variant (i.e. Node MCU or Wemo D1 Mini).

Cociclo is a Carbon Monoxyde (CO), temperature and humidity sensor and logger based on the ESP8266 wifi chip. It uses a Wemos programmed with Arduino. It interfaces to a MYSQL database and makes use of the D3.js and P5.js javascript libraries for data visualisation. Another version of the code turns the air pollution into noise pollution. http://cociclo.io

Creative mandala-inspired data visualisation showing Berkeley Earth surface temperature data

This project will explore, analyse and visualise publicly available wells datasets from the United States offshore data centre, the USGS boreholes website - Bureau of Safety and Environmental Enforcement (BSEE) https://www.data.bsee.gov/Main/Default.aspx with a particular focus on the Gulf of Mexico (GOM) wells. This project will study sandstones quality as a reservoir, the production history of the operators on the Gulf of Mexico and a well summary report to highlight any possible problem. The reservoir quality analysis will examine relationships between average values of porosity, permeability, depth, temperature, pressure, thickness, age, and play type for data files from 2009 until 2019.The porosity plotted and shown in a wide range of plots as a function of permeability and burial depth. Also, the median (P50) porosity will be plotted against depth to examine the porosity trend. Moreover, this project will investigate the companies oil and gas production in the gulf of Mexico for the last five years. Lastly, the analysis will include an investigation of well summary reports of five wells. The project will include web scrapping to collect online well summary reports to generate a word cloud. The project results can be useful for specifying realistic distributions of parameters for both exploration risk evaluation and/or reservoir modelling by machine learning algorithms in the next project.

G-code viewer for visualising feedrate, bandwidth, fan speed, and temperature.

In this project, I use remote sensing in visualising Land Surface Temperature values in the city of Mombasa with the aim of analysing Urban Heat Islands.

A set of jupyter notebooks that help visualise Aotearoa New Zealand's Mangōpare temperature data

As part of my Higher Diploma in Software Design and Development, I wanted to create an application that would show live data and what better way to get live data than to get it yourself. The Raspberry Pi was perfect for this. Providing GPIO pins to read in data and at a relatively cheap price. I purchased a bread board and wired up a temperature sensor. When it came to choosing a stack, I felt the MEAN stack was a great option as JavaScript could be used across all technologies and a relational database wasn’t required for temperature data like this. I created a RESTful API which would respond to queries for previous data or the current temperature. AngularJS was then used to request the data and place it on the $scope object. A directive was then created which contained D3.js, a JavaScript library for creating dynamic visualisations. This used to create two visualizations, a circle which changed size and colour with temperature and a graph showing the last 20 seconds of data. The create a single page application, the ui-router module was used. Originally the ngRoute module was used but this fell short when nested views inside views which was how the graph and circle were altered. The web app also required authentication, which was done using JWTs (JavaScript Web Tokens). Once the web app was finished, I made a mobile app using the Ionic framework with some minor tweaks to the code and a new UI.

Some examples of visualising surface temperature data to show reproducible workflows

Docker pipeline - Animated visualisation - Classification by deep learning - Movie recommender - Time series analysis on Berlin temperatures

This plugin for Grasshopper allows for the simulation and visualisation of the temperature and moisture profile inside 1-D wall sections in buildings.

A data pipeline and Streamlit dashboard that aggregates, cleans and visualises historical UK Met Office station data - interactive charts, heatmaps and maps for temperature, rainfall and sunshine.

As we all know Climate change has impacted many parts of the world and disturbed the Sustainability of Mother Earth so we ( Alison Rebello, Abrahdeep Chakraborty & me ) thought to make a project on Climate change using Power BI and MS excel to show that it is impacting us in a big way. It is also impacting 17 Sustainable development goals of the United Nations and their quest toward Sustainability. We the students of Goa Institute of Management (GIM) are very concerned about Sustainability and this is a small step from us in form of the Climate Action Dashboard using Power BI in the direction of Sustainability. Major Impacts include Global warming, Climate refugees, Soil Degradation, a threat to Food Security, Political Stability, etc. In the Visualisation: 1) We have made a visualization where there is an animated bar chart showing the highest temperature of countries from 1995 to 2020. 2) Lowest temperature countries are represented with the help of a pie chart. 3) Animated Heat Map which depicts variability of temperature across the world from 1995-2020. The dataset is taken from Kaggle. #powerbi #data #sustainability #climatechange #food #security #sdgs #unitednations #sustainabledevelopment #visualizations #climateaction #dashboard #globalwarming #kaggle #project #bigdata #dataanalysis #gim #management

Analysing and visualising temperatures from climate data.

spiral visualisation of Mean Temperature change in India

Monitor homebrew fermentation temperatures & visualise in a graph!

Real time temperature visualisation from Unitree G1 for monitoring

Temperature Logger on a Raspberry Pi, visualisation with Highcharts

An interactive visualisation of Australia's temperatures across different regions.

Duet Plugin to Assist in Scanning Probe Visualisation and Temperature Calibration

Data Visualiser Server showing NVIDIA GPU Temperature using Grafana, InfluxDB, telegraf and nvidia-smi

Visualises randomly selected latitude and longitude points on earth with GoogleMaps and gives the temperature too

Streamlit visualisation and analysis of Almaty (Kazakhstan) winter climate based on 100 years observations of Air Temperature.

An interactive earth engine web app that visualises and monitors the impacts of urbanisation on land surface temperature