Particulate matter exceedences 2006–2013

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1185
23
Added
09 Dec 2015

This dataset was first added to MfE Data Service on 09 Dec 2015.

"Particulate matter 10 micrometres or less in diameter (PM10) in the air comprises solid particles and liquid droplets from both natural and human-made sources. The main sources are burning wood or coal for home heating, and sea spray. PM10 is of particular concern because it is found in high concentrations in some areas. It can damage health and is associated with effects ranging from respiratory irritation to some forms of cancer.

This dataset records the number of times that concentrations of PM10 exceed the daily standard for years 2006 to 2013. Field names are Yr_.

Data is broken down by airshed.

This dataset relates to the ""PM10 daily concentrations"" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: Points

Units: No. of days"

Layer ID 52668
Data type Vector point
Feature count 43
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Sunshine hours 2013

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

1158
35
Added
17 Feb 2016

This dataset was first added to MfE Data Service on 17 Feb 2016.

"Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This layer shows annual sunshine hours across New Zealand for 2013 as part of the data series for years 1972 to 2013.
Data is for a calendar year (January-December).

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010. Maps were produced using the Virtual Climate Station network data. Data for each year are measured over the calendar year (January–December).

The accuracy of the data source is of high quality.

This dataset relates to the ""Sunshine hours in New Zealand"" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid
Unit: hrs/yr"

Layer ID 53266
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Soil health and land use - Soil sites within target range for given soil health indicators, by land use, 2009-13

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1159
29
Updated
21 Apr 2017

This dataset was last updated on MfE Data Service on 21 Apr 2017.

UPDATED 21/04/2017
(See "Land domain updates" page for details; www.stats.govt.nz/browse_for_stats/environment/env...)

Different land uses put pressure on the land environment and can result in changes to soil health. Healthy soil supports the productivity of agriculture and forestry, and filters water to help prevent waterways becoming contaminated. Soils are considered healthy if they fall within the target ranges for the indicators of acidity, fertility, organic reserves, and physical status.

This dataset relates to the "Soil health and land use" measure on the Environmental Indicators, Te taiao Aotearoa website.

For raw data see "2015 land aotearoa soil health data for release.xlsx" at data.mfe.govt.nz/x/LTBnRL

Table ID 52495
Data type Table
Row count 16
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Marine Environment Classification EEZ 5 Classes (2010)

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

1164
17
Added
03 Aug 2011

This dataset was first added to MfE Data Service on 03 Aug 2011.

The Marine Environment Classification (MEC), a GIS-based environmental classification of the marine environment of the New Zealand region, is an ecosystem-based spatial framework designed for marine management purposes.

Several spatially-explicit data layers describing the physical environment define the MEC. A physically-based classification was chosen because data on these physical variables were available or could be modelled, and because the pattern of the physical environment is a reasonable surrogate for biological pattern, particularly at larger spatial scales. Classes within the classification were defined using multivariate clustering methods. These produce hierarchical classifications that enable the user to delineate environmental variation at different levels of detail and associated spatial scales.

Layer ID 52366
Data type Vector multipolygon
Feature count 5
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Average sea–surface temperature, 1993–2012

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

1143
23
Added
18 Feb 2016

This dataset was first added to MfE Data Service on 18 Feb 2016.

The ocean waters surrounding New Zealand vary in temperature from north to south. They interact with heat and moisture in the atmosphere and affect our weather. Long-term changes and short-term variability in sea-surface temperatures can affect marine processes, habitats, and species. Some species may find it hard to survive in changing environmental conditions.

This grid shows average annual sea-surface temperature for years 1993 to 2013.

NIWA’s sea-surface temperature archive is derived from the Advanced Very High Resolution Radiometer (AVHRR) satellite data it receives from the National Oceanic and Atmospheric Administration. The archive provides high spatial (approximately 1km) and high temporal (approximately 6-hourly in cloud-free locations) resolution estimates of sea-surface temperatures over the New Zealand region, dating from January 1993. Uddstrom and Oien (1999) and Uddstrom (2003) describe the methods used to derive and validate the data.

This dataset relates to the "Annual average sea-surface temperature" measure on the Environmental Indicators, Te taiao Aotearoa website.

Further information can be found in:

Uddstrom, MJ (2003). Lessons from high-resolution satellite SSTs. Bulletin of the American Meteorological Society, 84(7), 896–897.

Uddstrom, MJ, & Oien, NA (1999). On the use of high resolution satellite data to describe the spatial and temporal variability of sea surface temperatures in the New Zealand region. Journal of Geophysical Research (Oceans) 104, chapter 9, 20729–20751.

Layer ID 53316
Data type Grid
Resolution 2000.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Modelled climate data June 2015

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

1113
39
Added
31 Jan 2016

This dataset was first added to MfE Data Service on 31 Jan 2016.

This project used statistical and spatial modelling to fill gaps in climate data and improve our ability to report on trends in the climate.

This data covers climate variables such as rainfall, temperature and wind. This dataset has been produced by NIWA, please see the attached report and associated data files for more detail.

Table ID 52821
Data type Table
Row count 516
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual average sea surface temperature, 2009

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1144
1
Added
11 Feb 2016

This dataset was first added to MfE Data Service on 11 Feb 2016.

The ocean waters surrounding New Zealand vary in temperature from north to south. They interact with heat and moisture in the atmosphere and affect our weather. Long-term changes and short-term variability in sea-surface temperatures can affect marine processes, habitats, and species. Some species may find it hard to survive in changing environmental conditions.

This layer shows annual average sea surface temperature for 2009 as part of the data series for years 1993 to 2013.

NIWA’s sea-surface temperature archive is derived from the Advanced Very High Resolution Radiometer (AVHRR) satellite data it receives from the National Oceanic and Atmospheric Administration. The archive provides high spatial (approximately 1km) and high temporal (approximately 6-hourly in cloud-free locations) resolution estimates of sea-surface temperatures over the New Zealand region, dating from January 1993. Uddstrom and Oien (1999) and Uddstrom (2003) describe the methods used to derive and validate the data.

This dataset relates to the "Annual average sea-surface temperature" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid
Unit: degrees Celsius

Further information can be found in:
Uddstrom, MJ (2003). Lessons from high-resolution satellite SSTs. Bulletin of the American Meteorological Society, 84(7), 896–897.
Uddstrom, MJ, & Oien, NA (1999). On the use of high resolution satellite data to describe the spatial and temporal variability of sea surface temperatures in the New Zealand region. Journal of Geophysical Research (Oceans) 104, chapter 9, 20729–20751.

Layer ID 53101
Data type Image/Raster
Resolution 2000.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Average estimated groundwater volume, by region, 2010-2014

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

1098
41
Added
29 Sep 2015

This dataset was first added to MfE Data Service on 29 Sep 2015.

Groundwater is the water stored beneath Earth’s surface in aquifers (layers of water-bearing rock or sand). It is used for human and stock drinking water, irrigation, and industry, and also has a role in sustaining some rivers, lakes, and wetlands, especially during low-flow periods. The health of surface-water ecosystems also depends on groundwater.

Estimated average groundwater volumes by 16 regional councils
* region = Regional Council
* bil_cubicm = Average estimated groundwater volume in billion cubic metres

For more information please see:
Moreau M, & Bekele, M (2015). Groundwater Component of the Water Physical Stock Account (WPSA) GNS Science Consultancy Report 2014/290. 35p. Available at data.mfe.govt.nz/x/Tebsax from the Ministry for the Environment dataservice.

This dataset relates to the "Groundwater physical stocks" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52529
Data type Table
Row count 16
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Land Environments New Zealand (LENZ) - Level 2 Polygons (2009)

Licence

Creative Commons Attribution 3.0 New Zealand

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1098
37
Added
30 Jun 2009

This dataset was first added to MfE Data Service on 30 Jun 2009.

Land Environments of New Zealand (LENZ) is a classification of fifteen climate, landform, and soil variables chosen for their relevance to biological distributions. Classification groups were derived by automatic classification using a multivariate procedure. Four levels of classification detail have been produced from this analysis, containing 20, 100, 200, and 500 groups respectively.
More information is available from the LENZ web site:
www.landcareresearch.co.nz/databases/lenz/

Layer ID 52357
Data type Vector polygon
Feature count 130829
Services Vector Query API, Web Feature Service (WFS)

BOMEC_15_Class_region

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

1099
25
Updated
03 Jul 2018

This dataset was last updated on MfE Data Service on 03 Jul 2018.

The 15 class Benthic-Optimised Marine Environment Classification (BOMEC). The BOMEC divides the benthic environment into ecosystem types. These are grouped into three inshore groups, three continental shelf groups, and nine deeper-water groups. Each group represents areas with similar environmental variables, such as depth, temperature, salinity, and suspended sediment. The classification system considers the distributions of eight benthic taxonomic groups: asteroids, bryozoans, benthic foraminiferans, octocorals, polychaetes, matrix-forming scleratinian corals, sponges, and benthic fish.

Layer ID 52748
Data type Vector multipolygon
Feature count 15
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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