River water quality trends by monitoring site, 1989-2013

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

1319
68
Added
29 Sep 2015

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

River water quality water is valued for many reasons including ecological function and habitat, recreational value, its role in supporting people and industry, and its cultural significance. Nutrients such as nitrogen and phosphorus are essential for plant growth, however too much in rivers can lead to ‘nuisance’ growths of river algae and aquatic plants, degrading habitat. High concentrations in the form of ammoniacal nitrogen and nitrate-nitrogen can be toxic to fish and other aquatic animals. Water clarity is a measure of underwater visibility, and affects habitat of aquatic life such as fish and birds, and can also impact on aesthetic values and recreational use of rivers and streams.

Trend statistics and calculation results for the periods 1989-2013, 1994-2013, and 2004-2013 are provided by monitored site. Units for parameters are mg/m3, except CLAR (m). Refer to Larned at al. 2015 for further details.

For more information please see:
Larned, S, Snelder, T, Unwin, M, McBride, G, Verburg, P, McMillan, H (2015).Analysis of Water Quality in New Zealand lakes and Rivers: data sources, data sets, assumptions, limitations, methods and results. NIWA Client Report no. CHC2015-033. Available at data.mfe.govt.nz/x/DDui3u from the Ministry for the Environment dataservice.

This dataset relates to the "River water quality" measures on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52531
Data type Table
Row count 4148
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Marine Environment Classification EEZ 20 Classes (2010)

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

2058
36
Added
19 Mar 2015

This dataset was first added to MfE Data Service on 19 Mar 2015.

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 52368
Data type Vector multipolygon
Feature count 19
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Marine Reserves

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Creative Commons Attribution 3.0 New Zealand

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2042
58
Added
11 Jan 2016

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

The location and extent of Marine reserves (type 1 marine protected areas) in the territorial sea.

Layer ID 52760
Data type Vector multipolygon
Feature count 44
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Landsat7 2013 Footprints

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Creative Commons Attribution 3.0 New Zealand

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2202
1
Added
20 Jul 2017

This dataset was first added to MfE Data Service on 20 Jul 2017.

Note: Metadata relates to the mosaicked imagery. This layer has been provided to enable users to explore coverage and capture dates of the imagery. To enquire about ordering the imagery, please e-mail lucas[at]mfe.govt.nz.

This imagery is a 15m, six-band multispectral, cloud-minimised mosaic of Landsat 7 satellite scenes over mainland New Zealand captured late-2012/early-2013.

Layer ID 53642
Data type Vector multipolygon
Feature count 482194
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Sentinel2 2017 Footprints

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Creative Commons Attribution 3.0 New Zealand

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2279
10
Added
06 Aug 2017

This dataset was first added to MfE Data Service on 06 Aug 2017.

Note: Metadata relates to the mosaicked imagery. This layer has been provided to enable users to explore coverage and capture dates of the imagery. To enquire about ordering the imagery, please e-mail lucas[at]mfe.govt.nz.

This imagery is 10m, ten-band multispectral, cloud-minimised mosaics of Sentinel 2A satellite tiles over mainland New Zealand made from scenes captured late-2016/early-2017.

Layer ID 53654
Data type Vector multipolygon
Feature count 19
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

SPOT5 2011 Footprints

2151
0
Added
20 Jul 2017

This dataset was first added to MfE Data Service on 20 Jul 2017.

Note: Metadata relates to the mosaicked imagery. This layer has been provided to enable users to explore coverage and capture dates of the imagery. To enquire about ordering the imagery, please e-mail lucas[at]mfe.govt.nz.

This imagery is 10m, four-band multispectral, cloud-minimised mosaics of SPOT 5 satellite scenes over New Zealand areas of interest captured late-2010/early-2011.

The imagery is only available to NZ "All-of-Government" agencies. Eligible agencies include central (Crown), regional and local government, universities and CRIs. Agencies contracted to do the work of any of these bodies may be granted limited access at the discretion of the imagery licensor, Airbus Defence and Space, Australia.

Layer ID 53648
Data type Vector multipolygon
Feature count 58
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Lake water quality trends, 2004-2013

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.

1747
63
Added
29 Sep 2015

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

When nutrients accumulate in lakes (referred to as ‘nutrient enrichment’) above certain levels, they can make the lakes murky and green with algae, and lower oxygen levels. Lakes with extremely poor water quality are rarely suitable for recreation and provide poor habitats for aquatic species.

Trends in the following parameters are provided:
Trophic Level Index 3 (TLI)
Chlorophyll-a (CHLA)
Bottom-water dissolved oxygen (DObottom)
Ammoniacal nitrogen (NH4N)
Oxidised nitrogen (NO3N)
Total nitrogen (unfiltered) (TN)
Dissolved reactive phosphorus (DRP)
Total phosphorus (unfiltered) (TP)

For more information please see:
Larned, S, Snelder, T, Unwin, M, McBride, G, Verburg, P, McMillan, H (2015).Analysis of Water Quality in New Zealand lakes and Rivers: data sources, data sets, assumptions, limitations, methods and results. NIWA Client Report no. CHC2015-033. Available at data.mfe.govt.nz/x/DDui3u from the Ministry for the Environment dataservice.

This dataset relates to the "Lake water quality: Trophic Level Index" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52538
Data type Table
Row count 3724
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual maximum three-day rainfall totals (1950–2013

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Creative Commons Attribution 3.0 New Zealand

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1786
45
Added
01 Oct 2015

This dataset was first added to MfE Data Service on 01 Oct 2015.

A three-day rainfall measurement covers a single sustained rain event or a series of shorter events over a three-day period. Such measurements help us understand and prepare for flooding or rain-induced slips that could cause damage.
Further information can be found in:
Tait, A, Macara, G, & Paul, V. (2014) Preparation of climate datasets for the 2015 Environmental Synthesis Report: Temperature, Rainfall, Wind, Sunshine and Soil Moisture. Prepared for Ministry for the Environment. Available at data.mfe.govt.nz/x/Fwn9AL on the Ministry for the Environment dataservice (data.mfe.govt.nz/).
This dataset relates to the "Annual maximum three-day rainfall" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52580
Data type Table
Row count 1920
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Wetland extent, 2001-16

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Creative Commons Attribution 4.0 International

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2329
64
Added
16 Apr 2018

This dataset was first added to MfE Data Service on 16 Apr 2018.

Wetlands support high levels of biodiversity. They provide habitat for native invertebrates, plants, fish, and bird species (eg fernbird, kōkopu, and eels), many of which live only in wetlands. Wetlands act as ‘kidneys’ and giant sponges – they clean the water of excess nutrients and sediment, control flood water and pollutants, and act as carbon sinks (removing carbon dioxide from the atmosphere). Wetlands have strong cultural and spiritual importance for Māori. They are a food source (eg eel, whitebait) and provide material for weaving (eg raupō, harakeke (flax)). Draining wetlands for agricultural and urban development over the past 150 years has led to significant wetland loss and deterioration.

Summary report available at www.mfe.govt.nz/publications/fresh-water/analysis-...

More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

Layer ID 95347
Data type Vector multipolygon
Feature count 14632
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Emissions from burning wood or coal for home heating 2006 and 2013

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Creative Commons Attribution 3.0 New Zealand

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1282
22
Added
16 Sep 2015

This dataset was first added to MfE Data Service on 16 Sep 2015.

In 2013, 37 percent of homes burned wood and 4 percent burned coal for heating. Burning wood or coal for home heating emits a range of air pollutants. It is the main human-made source of particulate matter and a significant contributor of carbon monoxide. Exposure to these pollutants can damage health, with effects ranging from respiratory irritation to cancer.

The proportions of homes using wood or coal for heating vary around the country. Generally, the use of wood and coal for home heating is greater in the South Island than in the North Island. The West Coast has the highest proportion (72 percent use wood, 56 percent use coal), while in contrast Auckland has lower usage (23 percent use wood and 2 percent use coal). Burning wood or coal for home heating continues to be associated with air quality issues, including high levels of PM10, PM2.5, arsenic, and benzo(a)pyrene at some locations.

This dataset relates to the "Home-heating emissions" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52451
Data type Table
Row count 20
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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