National PM10 concentrations 2006–13

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

2165
40
Added
16 Sep 2015

This dataset was first added to MfE Data Service on 16 Sep 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. PM10 can be emitted from the combustion of fuels, such as wood and coal (eg from home heating and industry), and petrol and diesel (from vehicles). Natural sources of PM10 include sea salt, dust, pollen, smoke (from bush fires), and volcanic ash. Nationally, burning wood or coal for home heating is the main human-made source of PM10.

PM10 is of particular concern because it is found in high concentrations in some areas and can damage health. It is associated with effects ranging from respiratory irritation to some forms of cancer.

Column headings:
- Con_mcg_m3 = Concentration in micrograms per cubic metre (μg/m3)

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

Table ID 52442
Data type Table
Row count 8
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual average sea surface temperature, 2005

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

2198
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 2005 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 53097
Data type Image/Raster
Resolution 2000.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Average annual sunshine hours, 2016

Licence

Creative Commons Attribution 4.0 International

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2164
18
Added
13 Oct 2017

This dataset was first added to MfE Data Service on 13 Oct 2017.

Sunshine is essential for our mental and physical well-being and plant growth. It is also important for tourism and recreation.
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 89449
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Lightning recorders

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

2152
22
Added
18 Feb 2016

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

Lightning is the discharge of electricity from thunderstorms. Ground strikes can cause significant damage to property and infrastructure, and injure or kill people and livestock. Lightning is often associated with other severe weather events, such as strong wind gusts. Thunderstorms may increase in frequency and intensity with climate change.

This dataset shows the location of sensors in the New Zealand Lightning Detection Network (NZLDN), run by MetService.

Sensors around the country detect lightning over the New Zealand land mass and a short distance out to sea. These sensors detect very accurately the electrical discharge, location, and time, as well as noting other parameters such as current strength. The NZLDN records both cloud-to-cloud and cloud-to-ground strikes.

Layer ID 53312
Data type Vector point
Feature count 10
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Farm size - Area of large commercial agricultural activities, 2002, 2007 and 2012

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.

2100
68
Added
28 Sep 2015

This dataset was first added to MfE Data Service on 28 Sep 2015.

Farm size describes the area of large commercial properties (registered for goods and services tax) that farm crops and/or livestock. It is important to measure the extent of these agricultural activities because their size influences the extent of their impacts on soil health and water quality.

Column headings:
area_ha = total area of farming activity measured in hectares

This dataset relates to the "Farm size" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52471
Data type Table
Row count 408
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Influenza hospital discharges (2000–13)

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.

2104
34
Added
01 Oct 2015

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

Influenza is a potentially life-threatening virus that spreads quickly from person to person. It is a significant public health issue in this country, with 10–20 percent of New Zealanders infected every year. While influenza outbreaks can occur all year round, rates peak in winter and spring. This is because the virus can survive longer outside the body in periods of colder weather and low absolute humidity (dry conditions).
This dataset relates to the "Influenza" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52553
Data type Table
Row count 28
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual average sea surface temperature, 2007

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.

2134
3
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 2007 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 53099
Data type Image/Raster
Resolution 2000.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Annual sea surface temperature difference from normal, 2002

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.

2123
0
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 sea-surface temperature difference from normal for 2002 as part of the data series for years 1993 to 2013. "Normal" is defined as the average sea-surface temperature for 1993–2013.

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: percent

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 53030
Data type Image/Raster
Resolution About 1927.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Ammoniacal nitrogen trends, 1989–2013

Licence

Creative Commons Attribution 3.0 New Zealand

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2085
32
Added
19 Feb 2016

This dataset was first added to MfE Data Service on 19 Feb 2016.

Small amounts of nitrogen are a natural component of healthy rivers. Nitrogen is transferred from land to water and is cycled through different forms, which can have different effects. Moderate concentrations of nitrate can cause weeds and algae to grow too fast. High concentrations of ammoniacal and nitrate nitrogen can be toxic to fish and other aquatic animals.
This dataset relates to the "River water quality trends: nitrogen" measure on the Environmental Indicators, Te taiao Aotearoa website.

Layer ID 53318
Data type Vector point
Feature count 77
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual maximum three-day rainfall totals (1950–2013

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

2070
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
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