Ocean and coastal extreme waves (4m), 2008

849
4
Added
16 Oct 2019

This dataset was first added to MfE Data Service on 16 Oct 2019.

These data estimate the occurence of extreme wave events in coastal and oceanic waters for 2008, particularly for wave events where significant wave height exceeds a threshold of 4 metres and for a period of at least 12 hours. Significant wave height is defined as four times the square root of the variance of sea surface elevation due to wave motion.

This index was generated using NIWA’s operational wave forecasting model NZWAVE-12.

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 104073
Data type Grid
Resolution About 13356.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

NZ Hill Country Winter Forage 2018

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4020
41
Added
23 Aug 2019

This dataset was first added to MfE Data Service on 23 Aug 2019.

The dataset maps areas of winter forage cropping and intensive winter grazing occurring in hill country areas during 2018. Hill country is defined as areas where paddocks have an average slope of greater than 7 degrees. Paddocks are classified into crop type and a measure is provided of the proportion of bare ground within the paddock after grazing.

Layer ID 103810
Data type Vector multipolygon
Feature count 9044
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

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.

18552
61
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

Benthic_Protected_Areas

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

8586
38
Updated
03 Jul 2018

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

From the original files MFB0174_1_region_TM and MFB0174_1_rectangle_TM.

Sourced from MPI in May 2012. Contact Alana Corney.

Layer ID 52758
Data type Vector multipolygon
Feature count 17
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Nitrate–nitrogen trends, 1989–2013

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.

9851
84
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 53319
Data type Vector point
Feature count 77
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Average annual PED, 2015/16

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

5412
11
Added
18 Oct 2017

This dataset was first added to MfE Data Service on 18 Oct 2017.

Potential evapotranspiration deficit (PED) can be thought of as a drought index. It is the difference between how much water could potentially be lost from the soil through evapotranspiration and how much is actually available. When PED is high, plants do not have the full amount of water available they need for growth. As our climate changes, increasing temperatures and rainfall pattern changes are expected to increase PED, and the frequency and intensity of drought, particularly in currently drought-prone regions.
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 89486
Data type Grid
Resolution 5096.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Average annual PED, 2014/15

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

5189
13
Added
18 Oct 2017

This dataset was first added to MfE Data Service on 18 Oct 2017.

Potential evapotranspiration deficit (PED) can be thought of as a drought index. It is the difference between how much water could potentially be lost from the soil through evapotranspiration and how much is actually available. When PED is high, plants do not have the full amount of water available they need for growth. As our climate changes, increasing temperatures and rainfall pattern changes are expected to increase PED, and the frequency and intensity of drought, particularly in currently drought-prone regions.
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 89485
Data type Grid
Resolution 5096.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Average annual PED, 2013/14

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4946
5
Added
18 Oct 2017

This dataset was first added to MfE Data Service on 18 Oct 2017.

Potential evapotranspiration deficit (PED) can be thought of as a drought index. It is the difference between how much water could potentially be lost from the soil through evapotranspiration and how much is actually available. When PED is high, plants do not have the full amount of water available they need for growth. As our climate changes, increasing temperatures and rainfall pattern changes are expected to increase PED, and the frequency and intensity of drought, particularly in currently drought-prone regions.
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 89484
Data type Grid
Resolution 5096.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Anomaly PED, 2013/14–2015/16

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4998
5
Added
18 Oct 2017

This dataset was first added to MfE Data Service on 18 Oct 2017.

Potential evapotranspiration deficit (PED) can be thought of as a drought index. It is the difference between how much water could potentially be lost from the soil through evapotranspiration and how much is actually available. When PED is high, plants do not have the full amount of water available they need for growth. As our climate changes, increasing temperatures and rainfall pattern changes are expected to increase PED, and the frequency and intensity of drought, particularly in currently drought-prone regions.
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 89483
Data type Grid
Resolution 5096.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Average annual sunshine hours, 2015

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4938
7
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 89448
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed
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