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Our objective of enhancing research infrastructure has led us to develop and document datasets and to make this data readily available to other researchers and graduate students. As an ongoing project, we are developing a standard approach to documentation. Currently, few datasets can be downloaded directly, but some are accessible on demand.
All data has been compiled with the intention that it will be used for research purposes. If you are intending to use any for commercial purposes, you will need to contact the original source(s) of the data (please see Acknowledgement in Description page). While Motu has endeavoured to ensure the accuracy of the data and documentation, neither we nor the original source(s) accept liability for any errors or omissions.
This data gives the assumed baseline nitrogen leaching per hectare for land in the Lake Rotorua catchment depending on land use. This data set was provided by NIWA as part of the design and building of NMANAGER.
This dataset contains data on population counts broken down by 5-year age-bands, at area unit level and territorial authority level for the year 1981. Only a select few area units (Patea, Moerewa, Wairoa, Waipukurau, Takapau, Mataura, Horotiu, Makarewa, Whakatu, Fairton, Paeora, Clive) and territorial local authorities (Hastings District, South Taranaki) have data recorded.
This dataset contains data on the population work and labour force status for the census year 1981. It classes individuals as either: full-time, part-time, unemployed, or unidentified status. Only a select few area units (Patea, Moerewa, Wairoa, Waipukurau, Takapau, Mataura, Horotiu, Makarewa, Whakatu, Fairton, Pareora, Clive) and territorial local authorities (Hastings District, South Taranaki District) are included.
This data documents the status of unoccupied dwellings in 2006. Only a select few area units (Patea, Moerewa, Wairoa, Waipukurau, Takapau, Mataura, Horotiu, Makarewa, Whakatu, Fairton, Paeora, Clive) and territorial local authorities (Hastings District, South Taranaki) have data recorded.
This dataset contains dairy stocking rates and milk solid production rates in New Zealand, by territorial authority, from 1998-2008.
These spreadsheets provide various Statistics New Zealand data on housing and age (see ‘Data access’ for brief abstracts; and see detailed documentation for more information).
The Department of Conservation (DoC) land register is a GIS database of conservation land, covering the New Zealand mainland and offshore islands. Conservation land includes Crown land held under the Conservation Act, Reserves Act, National Parks Act, Wildlife Act, Marine Reserves Act, and the Marine Mammals Protection Act. It excludes seabed or foreshore not set aside for a particular purpose. The map also includes private or Maori land that has legal protection through a conservation covenant or Nga Whenua Rahui kawenata, a lease to the Minister of Conservation, agreement under s76 Reserves Act, easement held by the Minister of Conservation, sanctuary refuge or management area under the Wildlife Act. In addition, the map includes other conservancy land for which DOC has information (mostly local authority reserves). The database contains approximately 18,000 polygons referred to as “conservation units”. Polygon areas are recorded in hectares to 4 decimal places, but are not very accurate (Froude, 1999). (Motu restricted dataset 6.)
This archive contains two restricted datasets used in Motu's fisheries work. The first, "Quarterly ITQ Data," contains quarterly information on fisheries catch volume, lease price, quota price, and export price for all the fishstocks in New Zealand's quota management system as of 1998. The second, "Monthly Catch and Export Prices for Binding Fishstocks," contains monthly data on catch, average export price for perishable products, lease price, and TACC for 49 stocks whose total annual catch has either been greater than or come within 10% of the year's total allowable catch, for at least 5 years in the period 1986 to 2000.
A dataset on estimated forest profit expectations. Data on net present value (NPV) and internal rate of return (IRR) are included; data on equal annual equivalent and land expectation value can be derived.
The forestry profitability data is measured by either net present values (NPV) or average annual cashflow of the NPV, and classified by 10 Wood Supply Regions, 4 different slope levels and 7 different distance-to-market levels. Linked the panel data with GIS maps, a time series of potential forestry profitability maps are created for the further usage in improving LURNZ. In May 2012 this dataset was replaced by the updated Forest Profit Expectations Dataset.
Land Cover Database 2 (LCDB2) is a thematic classification of 43 land cover and land use classes covering mainland New Zealand, near shore islands and the Chatham Islands. The first Land Cover Database (LCDB1) was completed in 2000 using SPOT satellite imagery acquired over the summer of 1996/97. LCDB2 was released in July 2004 and used Landsat 7 ETM+ satellite imagery acquired over the summer of 2001/02. This release also reports land cover/land use changes for the five-year period between the two acquisitions of satellite imagery. (Motu restricted dataset 1.)
LENZ (Land Environments of New Zealand) provides an environmental classification for New Zealand. It identifies climatic and landform factors likely to influence the distribution of species, and uses these factors to define a landscape classification that groups together sites that have similar environmental conditions. One important advantage of this approach, as opposed to directly mapping land cover for example, is its ability to predict the potential character of sites where natural ecosystems have been substantially modified. (Motu Restricted dataset 4.)
Each polygon was classified on a discrete scale from 1 to 8. Class 1 land is best for sustained agricultural production, while class 8 land has severely limited uses (Froude, 1999). Classes 1 to 4 are considered suitable for multiple land uses including arable cropping, while classes 5 to 7 are only suitable for pastoral grazing and forestry. Class 8 is not suitable for any productive use. LUC subclasses and units further classify land based on dominant limitation and management requirements. (Motu restricted dataset 3.)
LUNZ is a comprehensive land use dataset for New Zealand that was created by Landcare Research using information from AgriBase, LCDB2, LENZ and MAF monitor farm types. The dataset was created as part of the CLUES project (Woods et al, 2006). The smallest unit of observation is a sub-farm: a piece of land on a specific farm with a unique land cover type. As AgriBase is not comprehensive, land use for farms with missing information had to be inferred using other sources of information. (Motu restricted dataset 2.)
This GIS dataset combines information from the LUNZ map (created by Landcare Research Ltd), LCDB2 and ownership data: for each LUNZ polygon, Maribeth Todd, the creator of this dataset, added information on its 1996 land cover and land ownership. (Motu restricted dataset 9950.)
This data set was created by Maribeth Todd. She combined information from the slope map from LENZ and the Land Use New Zealand map (created by Landcare). The attributes of the final map includes all attributes from LUNZ as well as maximum, minimum, median slopes for each polygon (i.e. each sub-farm of LUNZ). (Motu restricted dataset 9951.)
Constructed from the Rural Economies database (DDLU10025), the Land Use Rural Panel (LURP) database separates pasture land into dairy and sheep & beef land according to stock numbers. The original dataset determined stocking rates using an optimization procedure by Liang and Hendy. This revised dataset uses Livestock Improvement Corporation (LIC) stocking rates.
This data gives the legacy loads from historic land use for the Lake Rotorua catchment. Nutrients leach from the catchment into the groundwater and then into the lake. The legacy loads are the leaching from the groundwater to the lake.
This data provides annual information from each local council between 1991 and 2008. Local council revenues are fragmented by rates, whereas expenditures are fragmented by service and other trading/consolidated activities. Operating budgets for refuse, water, sewerage included, as well as equity. Searchable index of data notes by council and problem type.
This dataset contains data extracted from the MAF Overseer reports by AgFirst. Simon Anastasiadis used Plot Digitizer to convert the figures from the 2009/2010 report into data.
The dataset has two GIS layers. The first layer is the potential farm by class and by region map in 2002. It is derived using sheep-beef farm class and region definitions from Meat and Wool Ltd and dairy region definitions from MAF. The second layer uses the first one as a base map to present the average (1990 to 2007) potential profitability (EBIT per ha) for being a farm of a certain class in a certain region.
This dataset includes demographic data of the Galapagos Islands in English and Spanish. It contains information between 1950 and 2001 for Galapagos Islands, but time period could vary for different variables.
Statistical tables that describe New Zealand’s planted forests area in detail, and forest activity data such as planting and harvesting.
Housing New Zealand Corporation (HNZC) generously provided us with a dataset on 80,983 state houses covering the period 31 January 1936 to 16 February 2010. This derived dataset includes a tidied version of this raw dataset, with data spanning the period 1993 - 2010.
The Corax Mobile data layer of New Zealand cadastral boundaries (derived from data held by Land Information New Zealand) and GIS shape files of Department of Conservation (DoC) land, other Crown land, and Māori land were intersected to give an ‘ownership’ shape file showing broad land-ownership information: DoC land, other publically owned or covenanted land, Māori land, and privately owned land. (Motu restricted dataset 5.)