Study of rare earth element (REE) uptake from geothermal brine simulant by column loading, metal recovery through stripping, and regeneration of column for re-loading. Simulated brine testing.

Location of Sydney CBD kerbside loading zones (for use by delivery vehicles when loading or unloading goods) by street and time of day (hourly). Returns ZIP file containing JSON and CSV files

This dataset shows Near Surface Nitrate Susceptibility. Pollution Impact Potential (PIP) maps were generated separately for nitrate and phosphate to rank critical source areas (CSAs) relative to one another from diffuse agriculture for both the groundwater and surface water receptor. The PIP maps are generated by the EPA Catchment Characterisation Tool (CCT). The CCT delineates the CSAs displayed in the PIP maps by overlaying the hydro(geo)logically susceptible areas (the likelihood of nutrient transfer due to soil and geological properties along the near surface and/or subsurface pathway) with nitrate or phosphate loadings. The nitrate and phosphate PIP maps for the surface water receptor combine the contribution from both the subsurface pathway and the near surface pathway while the groundwater receptor maps only consider the contribution from the groundwater pathway. Surface Water Receptor Nitrate PIP map shows the relative pollution impact potential to surface water along the subsurface and near surface pathways due to nitrate loading. This map should be used to evaluate nutrient impact at the waterbody, subcatchment or catchment scale (at a resolution of less than 1:20,000). Pollution impact potential (PIP) maps rank the CSAs in descending order of risk (where Rank 1 is the highest risk) and are available for the surface water receptor for nitrate and phosphate, and the groundwater receptor for nitrate. Local pressure data has been used to generate the maps in agricultural areas where available. For urban, forestry and the remaining agricultural areas, regional sources of pressure data have been used; these areas are marked 'using regional loadings' on the PIP maps.

Parking spaces that are available for service and delivery drivers in Sydney’s CBD (at commercial rates). Returns ZIP file containing GeoJSON and CSV files.

The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-research-and-forecasting-model) (WRF), Wave data is produced using the [University of Miami Wave Model](https://umwm.org/) (UMWM), While ocean current data is produced using the [HYbrid Coordinate Ocean Model](https://www.hycom.org/) (HYCOM). The time resolution for each model run is as follows: Hurricane Ike -> 1 sample/hour from 9/8/2008 12:00:00 UTC to 9/12/2008 6:00:00 UTC -> 1 sample/10 minutes from 9/12/2008 6:00:00 UTC to 9/13/2008 9:00:00 UTC Hurricane Sandy -> 1 sample/10 minutes from 10/28/2012 00:10:00 UTC to 10/31/2012 00:00:00 UTC