Type of resources
Contact for the resource
Updated DSDP, ODP and IODP borehole locations, related metadata and links back to host site data repositories. Generated from kml files available at http://www.iodp.org/borehole-map
This dataset represents the sources used to compile the geological datasets. The dataset is part of the Geological Map of New Zealand collection produced by GNS Science. The dataset is associated with Heron, D.W. (custodian) 2020: Geological Map of New Zealand 1:250 000. GNS Science Geological Map 1 (3rd ed.). Lower Hutt, New Zealand. GNS Science. DOI: https://doi.org/10.21420/03PC-H178.
This layer shows petroleum wells for which GNS has compiled graphical presentations of downhole well information such as lithology, stratigraphy, geochemical sampling and geophysical logs. It is a view based on the Petroleum Wells dataset and is updated spasmodically as new well sheets are created.
This dataset contains polygons showing the extent of swath (multibeam) bathymetry data in the SW Pacific. The dataset contains metadata for each survey, but not the actual swath bathymetry data. Data supplied by GNS Science, NIWA and LINZ, and sourced from international data repositories.
The 2016 Recycling Economic Information (REI) Report aims to increase the understanding of the economic implications of material reuse and recycling. The report shows that recycling and reuse of materials creates jobs, while also generating local and state tax revenues. The 2016 REI Report covers the economic activities of nine sectors: ferrous metals, nonferrous metals (aluminum), glass, paper, plastics, rubber, construction and demolition, electronics and organics (including food and yard trimmings). The 2016 REI Report builds on work from a 2001 REI study. In 2001, to encourage the development of an economic market for recycling, EPA supported the creation of a national Recycling Economic Information (REI) Project and the related REI report, based upon the work of several states and regions. The REI report was a ground breaking national study demonstrating the economic value of recycling and reuse to the U.S. economy. Compiled through a cooperative agreement with the National Recycling Coalition, the study confirmed what many have known for decades: there are significant economic benefits in recycling. The 2016 report focuses on the economic impacts of recycling rather than the environmental benefits, as the environmental benefits have been researched in detail. Accurately estimating the impact that recycling has on jobs, wages and taxes is important because the results can influence policy decisions and provide a more robust picture of recycling by adding an economic layer on top of the more heavily researched environmental impacts of recycling. For more information, please visit https://www.epa.gov/smm/recycling-economic-information-rei-report. The REI Report is part of EPA's larger SMM program (https://www.epa.gov/smm). Sustainable Materials Management (SMM) is a systemic approach to using and reusing materials more productively over their entire lifecycles. It represents a change in how our society thinks about the use of natural resources and environmental protection. By looking at a product's entire lifecycle we can find new opportunities to reduce environmental impacts, conserve resources and reduce costs. There are multiple challenge programs available as part of the SMM program, including the Food Recovery Challenge, the Electronics Challenge, the Federal Green Challenge and the WasteWise program.
NZ open file petroleum exploration 2D seismic navigation data.
GERM - the GEological Resource Map of New Zealand database is a mineral deposit inventory of mineral, rock aggregate, building stone, coal, oil, gas, thermal water, and cold-water spring occurrences. More than 10,000 sites such as quarries, mines, dredges, wells, outcrops, seeps, springs, or fields are catalogued. Entries contain summary information on location, geology, geochemistry, exploration, production and use. The data were complied between 1983 and 1993, and published in a series of map sheets between 1984 and 1994. There has been no systematic update of the data since 1993, and therefore the status of some mining, quarrying and other extractive operations may have changed. Few new operations since 1994 are included in the GERM database. DOI:https://doi.org/10.21420/KZQD-G746 Cite as: GNS Science. (1994). New Zealand Geological Resource Map (GERM) [Data set]. GNS Science. https://doi.org/10.21420/KZQD-G746
This dataset has been superseded by a new edition (2nd edition, 2020) available here: https://data.gns.cri.nz/metadata/srv/eng/catalog.search#/metadata/79DFDE2D-14C3-4E1A-9BAA-EE4AD2B545AB. This dataset is the dikes data for the Geological Map of the Tongariro National Park area. The dataset is a product of the Geological Map of New Zealand project and was produced by GNS Science. The dataset is stored in an ESRI vector geodatabase and exported to ArcGIS Server. The dataset comprises arcs with each arc having attributes describing the rock type, its age and stratigraphic nomenclature. The data structure complies with the GeoSciML 4.1 standard where relevant and uses the appropriate CGI Controlled Vocabularies.
NZ Open File petroleum exploration 3D seismic data provided by New Zealand Petroleum & Minerals.
This dataset has been superseded by a new edition (2nd edition, 2020) available here: https://data.gns.cri.nz/metadata/srv/eng/catalog.search#/metadata/79DFDE2D-14C3-4E1A-9BAA-EE4AD2B545AB. This dataset is the supplemental geological boundaries data for the Geological Map of the Tongariro National Park area. The dataset is a product of the Geological Map of New Zealand project and was produced by GNS Science. It contains bounding contacts to geological units that are not included within the Geological_Boundaries dataset such those concealed beneath other mapped geological units and the limit of geological mapping (e.g where the geology is hidden beneath permanant ice). The dataset is stored in an ESRI vector geodatabase and exported to ArcGIS Server. The dataset comprises arcs with each arc having attributes describing the type of contact, its accuracy and exposure. The data structure complies with the GeoSciML 4.1 standard for ContactView and uses the relevant CGI Controlled Vocabularies.