Find the station
Start on the map. Filter by station type, status, privacy, or search text. The map recentres on the selected station set so every visible result stays in view.
Read Quick View
Quick View gives the latest values, statistics for the chosen display period, and compact trend charts. IoT boxes can split paired sensors to reveal deviation.
Open Advanced
Advanced restores the full analysis workspace: parameter selection, aggregation, configurable CSV export, Fidas spectra, and buoy depth-profile heatmaps.
Use Metadata
Metadata explains the exact instrument fields, units, and definitions behind each station family so non-specialists and technical users share the same vocabulary.
What We Measure
From air particles to marine profiles
The dashboard brings together fixed IoT air stations, reference-grade Fidas particle instruments, meteorological stations, buoys, and marine survey sensors.
Heat Indices
Heat stress is more than air temperature
The Fidas metadata includes calculated thermal-comfort fields. These are displayed as first-class context because humidity, wind, and radiation can make the same temperature feel very different.
Temperature plus humidity
Shows how hot conditions feel when moisture reduces evaporative cooling.
Human-experience temperature
Communicates apparent temperature by combining atmospheric factors such as humidity and wind.
Operational comfort signal
Turns raw weather variables into a field that is easier to interpret for planning and communication.
Outdoor heat-stress load
Combines heat, moisture, wind, and radiation for a more conservative outdoor stress signal.
Glossary
Search every term behind the dashboard
Use this as the plain-language layer for all station users, from visitors scanning the map to researchers checking instrument definitions.
PM2.5
Fine particulate matter with an aerodynamic diameter of 2.5 micrometres or smaller.
Why it matters
These particles are small enough to travel deep into the respiratory system and are a core signal for public-health, exposure, and source-pattern discussions.
How to read it
Lower values generally indicate cleaner air. Compare PM2.5 with PM10 and particle counts to understand whether the air is dominated by fine or coarse particles.
PM10
Coarser particulate matter up to 10 micrometres in aerodynamic diameter.
Why it matters
PM10 helps describe coarse suspended particles and wind-driven resuspension near roads, campuses, construction activity, and open coastal or desert environments.
How to read it
Read PM10 beside PM2.5. A large PM10 rise with a smaller PM2.5 rise usually points to a coarser particle load.
Particle Count Number
Number concentration of airborne particles measured per cubic centimetre of air.
Why it matters
Particle count can show changes in particle abundance even when mass concentration changes are subtle.
How to read it
Use it with PM mass and spectra. Count-heavy conditions can indicate many small particles, while mass-heavy conditions can indicate fewer but larger particles.
Fidas Particle Spectra
A log-scale distribution showing particle counts across measured size bins from the Fidas Palas 200S.
Why it matters
Spectra reveal whether a change is concentrated in fine, coarse, or broad particle sizes, which is more informative than a single PM value.
How to read it
Move through samples in the Advanced spectra tab. Peaks shifting across size bins show how particle populations change over time.
CO2
Carbon dioxide concentration measured in parts per million.
Why it matters
CO2 is useful as a ventilation, occupancy, or near-building context signal. It is not used here as a whole-air pollution index.
How to read it
Treat CO2 as context. Read it with temperature, humidity, station location, and deployment type.
Air Temperature
Ambient air temperature measured at the station.
Why it matters
Temperature shapes comfort, heat exposure, atmospheric chemistry, humidity interpretation, and instrument operating conditions.
How to read it
Look for persistent daytime peaks, nighttime recovery, and changes that align with humidity, wind, or radiation.
Relative Humidity
The amount of water vapour in the air relative to the maximum the air can hold at that temperature.
Why it matters
Humidity affects comfort, aerosol behaviour, haze, instrument interpretation, and heat-stress calculations.
How to read it
High humidity makes heat feel more intense. Read it together with temperature, dew point, and heat-index fields.
Dew Point
The temperature at which air becomes saturated and water vapour begins to condense.
Why it matters
Dew point is a stable measure of moisture content and helps explain comfort, fog, haze, and heat stress.
How to read it
Higher dew point means more moisture in the air. It often explains why two days with similar temperature feel different.
Atmospheric Pressure
The pressure exerted by the atmosphere at the sensor location.
Why it matters
Pressure supports weather interpretation, quality-control checks, and atmospheric trend analysis.
How to read it
Pressure trends are usually more meaningful than a single reading. Sudden changes can signal shifting weather conditions.
Wind Speed
The speed of air movement measured by a meteorological station, Fidas unit, or buoy.
Why it matters
Wind controls dispersion, resuspension, coastal exchange, and how conditions are experienced outdoors.
How to read it
Use wind speed with wind direction and particle readings to understand whether changes are local or transported.
Wind Direction
The compass direction from which the wind is blowing.
Why it matters
Direction helps connect environmental changes to coastlines, land uses, roads, campuses, and regional transport pathways.
How to read it
Read direction with speed and station location. Consistent direction during a spike can help identify likely source sectors.
Heat Index
A combined temperature and humidity measure that estimates how hot conditions feel to the human body.
Why it matters
Heat index is a practical exposure signal because humid air reduces the body's ability to cool through evaporation.
How to read it
Compare heat index with measured temperature. A higher heat index indicates humidity is amplifying heat stress.
Feels Like Temperature
An apparent temperature estimate that accounts for factors such as humidity and wind.
Why it matters
It translates instrument readings into a human-experience signal for communication, operations, and safety planning.
How to read it
Use it beside air temperature. The difference between the two shows how atmospheric conditions change perceived heat.
Perceived Temperature
A calculated apparent temperature intended to represent human-perceived thermal conditions.
Why it matters
Perceived temperature supports communication to non-specialist users by connecting raw weather variables to lived conditions.
How to read it
Read it with heat index, humidity, and wind. Persistent elevated values are more important than isolated points.
Wet Bulb Globe Temperature
A heat-stress metric that combines temperature, humidity, wind, and radiation exposure.
Why it matters
WBGT is useful for outdoor work, athletics, and operational planning because it reflects heat load more directly than air temperature alone.
How to read it
Use WBGT as a conservative heat-stress signal. Interpret it with station placement and exposure to direct sun or shade.
Solar Radiation
Solar energy incident on a horizontal surface.
Why it matters
Radiation drives surface heating, evaporation, comfort, and several heat-stress calculations.
How to read it
High radiation with high humidity and low wind can create intense outdoor heat stress.
Precipitation
Liquid or solid water reaching the sensor, recorded as accumulated depth or intensity.
Why it matters
Precipitation changes air particles, surface conditions, humidity, and station operating context.
How to read it
Use it as context for sudden drops or changes in particulate readings and humidity.
Water Temperature
In-situ water temperature measured by buoy, CTD, EXO, or Idronaut instruments.
Why it matters
Water temperature shapes stratification, oxygen solubility, biological activity, and coastal heat exchange.
How to read it
In profile views, read the vertical gradient. Sharp depth changes can indicate stratification.
Salinity
Practical salinity derived from conductivity measurements.
Why it matters
Salinity identifies water masses, mixing, evaporation, freshwater influence, and density structure.
How to read it
Read salinity with temperature and depth. Vertical changes often show layering or mixing.
Dissolved Oxygen
Oxygen available in water, measured as concentration, partial pressure, or percent saturation.
Why it matters
Dissolved oxygen is central to marine habitat quality, biological activity, and water-column processes.
How to read it
Read oxygen with depth, temperature, and salinity. Low values at depth can signal limited mixing or high biological demand.
Chlorophyll-a Fluorescence
A fluorescence proxy for phytoplankton biomass.
Why it matters
Chlorophyll helps identify biological productivity, algal patterns, and changes in coastal water conditions.
How to read it
Look for depth layers or changes that align with light, turbidity, and water temperature.
Turbidity
A measure of water clarity based on how particles scatter light.
Why it matters
Turbidity reflects suspended sediments, biological material, and disturbance in the water column.
How to read it
Higher turbidity means less clear water. Compare it with chlorophyll, depth, and location.
pH
A measure of acidity or alkalinity.
Why it matters
pH helps characterize seawater chemistry and biological suitability.
How to read it
Read pH trends and profiles rather than isolated values, especially when paired with temperature and salinity.
Depth Profiles
Measurements collected across vertical positions below the water surface.
Why it matters
Profiles reveal stratification and subsurface changes that surface readings can hide.
How to read it
Use buoy profile heatmaps and CTD-style metadata to see how values change with depth and time.
Clean Data Toggle
A Fidas option that excludes samples flagged by instrument error fields.
Why it matters
Clean mode helps users distinguish instrument-valid data from readings that may be affected by internal faults.
How to read it
Use the toggle to compare all samples with clean samples. Differences can reveal periods affected by instrument flags.