The purpose of the New Zealand Geothermal Analytical Laboratory (NZGAL) Information Management System, is for recording and storing all information related to sample information and results pertaining to samples received by NZGAL. NZGAL contains: 1. Paper records relating to sample submission, client correspondence, sample treatment, measurement, results and internal operations documents (SOP’s and Quality Manual). 2. Digital database and associated files: QLIMS database. Digital database records for sample details pertaining to sample reception to measurement to results 2011 to present. Gas database. MS Access database for recording geothermal gas analysis and calculations 3. Internal digital and paper-based data relating to ongoing data quality control, measurement output and internal procedures. DOI: https://doi.org/10.21420/D539-T756 Cite as: GNS Science. (2021). New Zealand Geothermal Analytical Laboratory Information Management System (NZGAL) [Data set]. GNS Science. https://doi.org/10.21420/D539-T756

The Geothermal surface features database is maintained by GNS Science to provide a time-series database of measurements/observations/locations of geothermal surface features from high temperature and low temperature geothermal fields in New Zealand. The database includes time-series observations and measurements of geothermal surface features in NZ that include temperature, location, description, feature types and flows. There is an intention to expand this to water/gas chemistry. The database is divided into two datasets: 1) BOPRC Geothermal Surface Feature Database - Public access. This contains data collected for Bay of Plenty Regional Council for features in the BOP region only. Although collected and entered for the BOPRC under commercial contracts, the BOPRC make this data available in the public domain. 2) Natural Thermal Feature/Springs of New Zealand. This dataset contains data for the rest of NZ. Data is only sourced from publicly available documents and all data has a reference. Both datasets are accessed via the GNS GGW web interface on the GNS website. DOI: https://doi.org/10.21420/BPMA-D502 Cite as: GNS Science, & Bay of Plenty Regional Council - Toi Moana. (2015). Geothermal surface features database [Data set]. GNS Science. https://doi.org/10.21420/BPMA-D502

The WARTS database was maintained by GNS Science to provide a time-series database of water and gas chemistry results from geothermal surface features, volcanos and geothermal bores analysed by DSIR (Chemistry division). The database includes time-series analytical measurements (water chemistry, gas chemistry and limited field measurements of temperature and pressure for bores) made by DSIR of geothermal surface features, volcanos and geothermal bores in NZ and internationally – anything the water chemistry laboratory based at Wairakei analysed. The dataset contains both samples collected for research and for commercial purposes, with no distinction within the dataset of what was research and what was commercial. DOI: https://doi.org/10.21420/A66F-H580 Cite as: GNS Science, & Department of Scientific and Industrial Research (DSIR). (2020). WARTS [Data set]. GNS Science. https://doi.org/10.21420/A66F-H580

A database of thermal infrared (TIR) images of thermal infrared anomalies in New Zealand. • Database contains TIR images and mosaics produced using a variety of data acquisition techniques and processing methods. • Includes past and present datasets throughout New Zealand and abroad. Contains public and restricted data. Permission is needed to access restricted data. The link below directs to publicly available data. DOI https://doi.org/10.21420/K2CW-4Z79 Cite: GNS Science. (2021). FLIR Thermal Infrared (TIR) Images Database. GNS Science. https://doi.org/10.21420/K2CW-4Z79

Spectral images of New Zealand and selected places abroad. • Database contains Visible, NIR, SWIR images and mosaics produced using a variety of data acquisition techniques and processing methods. • Includes past and present datasets throughout New Zealand and abroad. Contains public and restricted data. Permission is needed to access restricted data. The link below directs to publicly available data. DOI https://doi.org/10.21420/9JMH-MG66 Cite data as: GNS Science. (2022). Satellite (multi-, hyper-) Spectral Images Database [Data set]. GNS Science. https://doi.org/10.21420/9JMH-MG66