The National Environmental Data Centre (NEDC) online directory http://nedc.nz is a website resource that provides information on environmental datasets for Aotearoa New Zealand and in some places wider coverage. The datasets are each hosted by one of New Zealand's Crown Research Institutes; AgResearch, ESR, GNS Science, Manaaki Whenua Landcare Research, NIWA, Scion and Plant & Food Research. The datasets are categorised in terms of Atmosphere, Biodiversity, Climate, Freshwater, Geology, Land and Ocean themes.

This dataset contains Biome-BGC v4.2 model outputs of national pasture production forced with present day and 4 future projected CO2 Representative Concentration Pathways (RCP past, 2.6, 4.5, 6.0, and 8.5) taken from the IPCC Fifth Assessment Report. Meteorological inputs used to run the model were downscaled from six different General Circulation Models (GCMs): BCC-CSM1.1, CESM1-CAM5, GFDL-CM3, GISS-EL-R, HadGEM2-ES, and NorESM1-M. Outputs are provided for two different parameterizations of the Biome-BGC model to describe New Zealand’s two dominant types of pasture, dairy and sheep. The model was run at each point on NIWA’s Virtual Climate Station Network (VCSN), a 5 x 5 km national grid. The data consists of daily outputs at each grid box of net primary productivity (NPP), gross primary productivity, net ecosystem productivity (NEP), evapotranspiration (ET), water outflow, evaporation, transpiration, and soil water content, spanning 1971 – 2005 (RCP past) or 2006 – 2100 (RCP 2.6, 4.5, 6.0, and 8.5).

Plot data Mc Nemar: To enable comparisons with the 1961 and 2004 survey results, the Lambert Conformal Conic projection from the 2004 survey was used to precisely georeference and trim the RGB image across a 1-m2 grid, generating a total of 3,458 1-m2 grid cells. For each grid cell moss, lichen, or algae/cyanobacteria cover was extracted as one of the four cover classes: Heavy (>40%), Patchy (10–40%), Scattered (less than 10%), and None (0%) for the survey years 1962, 2004 and 2018. Ground truthing: To test the overall accuracy of cover classifications and ensure consistency with 2004 survey methodologies, a ground-truthing approach was performed. Photographs were taken of individual cells along eight transects, running west to east across the plot at 0.5, 1.5, 15.5, 16.5, 28.5, 29.5, 116.5 and 117.5 m distance from the NW corner. Each grid cell could be identified individually with an x/y coordinate in the centre and was surrounded by a rectangular frame parallel to the outer edge of the plot. A total of 174 photographs were taken and archived with Antarctica New Zealand. For each photographed grid cell, the presence of each functional group of vegetation and their cover class was assessed visually. Orthomosaic image: Aerial images were obtained using a DJI Matrice 600 Pro hex-rotor remotely piloted aircraft system equipped with a Canon EOS 5Ds camera (image size: 8688×5792 pixels, focal length: 50 mm, pixel size: 4.14 μm) on November 28, 2018. The flight altitude was 30 m above ground level, and a total of 10 ground-control points were included to provide accurate geo-referencing. An orthomosaic photo and accompanying DEM was generated with the acquired aerial images using Agisoft PhotoScan (now known as Metashape by Agisoft LLC, https://www.agisoft.com/) RELATED PUBLICATION: https://doi.org/10.1029/2022EF002823 GET DATA: https://doi.org/10.7488/ds/3417

This Feature Class contains paleofacies (i.e. paleoenvironmental) polygon features for sedimentary basins in the Northwest Province (Atlas of Petroleum Prospectivity), namely the Taranaki, Deepwater Taranaki, and Reinga-Northland basins. Features are depicted relative to the modern New Zealand coastline. No palinspastic reconstructions have been undertaken. Polygon features for 24 Ma (earliest Miocene, NZ Waitakian Stage) are contained in this Feature Class.

NitrateWatch project (SSIF Project 6) is gathering nitrate data from around New Zealand. Our goal is to provide this information visually to our stakeholders via a map interface • NitrateWatch is aimed at generating new knowledge about nitrates in rural drinking water across New Zealand. • We aim to highlight nitrate hot spots and benchmark nitrate levels for rural drinking water by collecting data from drinking water samples submitted by rural residents. • A further goal is to improve stakeholder engagement through working more closely with iwi, Regional Councils, district Councils, Government agencies and local communities in readiness for future cooperation. • Data generated from this project serves as a talking point to showcase GNS’ leadership in the groundwater/drinking water space. • Our data provides future opportunities for GNS groundwater staff to build new projects leveraged off NitrateWatch

This Feature Class contains paleofacies (i.e. paleoenvironmental) polygon features for sedimentary basins in the Northwest Province (Atlas of Petroleum Prospectivity), namely the Taranaki, Deepwater Taranaki, and Reinga-Northland basins. Features are depicted relative to the modern New Zealand coastline. No palinspastic reconstructions have been undertaken. Polygon features for 04 Ma (Early Pliocene, NZ Opoitian Stage) are contained in this Feature Class.

This Feature Class contains paleofacies (i.e. paleoenvironmental) polygon features for sedimentary basins in the Northwest Province (Atlas of Petroleum Prospectivity), namely the Taranaki, Deepwater Taranaki, and Reinga-Northland basins. Features are depicted relative to the modern New Zealand coastline. No palinspastic reconstructions have been undertaken. Polygon features for 14 Ma (Middle Miocene, NZ Lillburnian Stage) are contained in this Feature Class.

The Urban Borehole Database (UBHDB) is a digital compilation of borehole records utilised in urban mapping, 3D geological modelling, and ground shaking studies by GNS Science. This database primarily utilises borehole records from the New Zealand Geotechnical Database (NZGD, www.nzgd.org.nz) and other records provided to GNS Science from engineering consulting companies as well as local government records. The UBHDB is a relational database and contains nine tables; eight down-hole data tables linked to a borehole location / collar table. Down-hole data includes: lithology (descriptions from borehole logs and interpretations of local formation for each down-hole interval), geochronology, shear vein tests, SPT (standard penetration test), structure (structural measurements), survey (borehole orientation), velocity (shear wave velocity), water (static water level measurements). Addition of new data is ongoing and the database is regularly maintained and used for hazard and mapping projects at GNS Science. Data from the NZGD are added to the database in areas of mapping and modelling projects; PDF records from the NZGD are digitised and appended to the database for use in GNS Science research projects. DOI: https://doi.org/10.21420/XHB0-M968 Cite as: GNS Science. (2021). Urban Borehole Database [Data set]. GNS Science. https://doi.org/10.21420/XHB0-M968

This Feature Class contains paleofacies (i.e. paleoenvironmental) polygon features for sedimentary basins in the Northwest Province (Atlas of Petroleum Prospectivity), namely the Taranaki, Deepwater Taranaki, and Reinga-Northland basins. Features are depicted relative to the modern New Zealand coastline. No palinspastic reconstructions have been undertaken. Polygon features for 66 Ma (latest Cretaceous, latest NZ Haumurian Stage) are contained in this Feature Class.

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