Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 14 Oct 2017.
NIWA supplied ozone data in two forms, with different starting dates:
- measurements made using a Dobson spectrophotometer (number 72), from 1987
- data assimilated from satellite measurements recalibrated against the global Dobson network, from 1978.
NIWA takes measurements using the Dobson spectrophotometer 72 under clear-sky, direct sunlight conditions at Lauder in Otago. There are gaps in the time series due to days with cloud, rain, or too much wind. However, over the whole period, each individual calendar day of the year was measured. This allows us to calculate statistics based on the day of the year.
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.
Table ID | 89463 |
---|---|
Data type | Table |
Row count | 114 |
Services | Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 12 Oct 2017.
Annual rainfall trends for 30 representative sites from 1960–2016.
Rain is vital for life – it supplies the water we need to drink and to grow our food, keeps our ecosystems healthy, and supplies our electricity. New Zealand’s mountainous terrain and location in the roaring forties mean rainfall varies across the country. Changes in rainfall amount or timing can significantly affect agriculture, energy, recreation, and the environment. For example, an increase or decrease of rainfall in spring can have marked effects on crops or fish populations.
Trend direction was assessed using the Theil-Sen estimator and the Two One-Sided Test (TOST) for equivalence at the 95% confidence level.
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.
Table ID | 89400 |
---|---|
Data type | Table |
Row count | 30 |
Services | Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 3.0 New Zealand
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 25 Oct 2016.
Seabed trawling and dredging, when fishing nets or dredges are towed near and along the seabed, can physically damage seabed (benthic) habitats and species. It can also stir up sediment from the seabed, shading (in shallow waters) or smothering marine species. This measure focuses on coastal areas (waters shallower than 250m). Focusing on coastal benthic habitats is important as these face multiple threats (for example from land-based activities) in addition to fishing.
Table ID | 53510 |
---|---|
Data type | Table |
Row count | 3 |
Services | Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 3.0 New Zealand
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 19 Oct 2016.
Seabed trawling and dredging, when fishing nets or dredges are towed near and along the seabed, can physically damage seabed (benthic) habitats and species. It can also stir up sediment from the seabed, shading (in shallow waters) or smothering marine species. This measure focuses on coastal areas (waters shallower than 250m). Focusing on coastal benthic habitats is important as these face multiple threats (for example, from land-based activities) in addition to fishing
Table ID | 53484 |
---|---|
Data type | Table |
Row count | 33 |
Services | Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 3.0 New Zealand
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 19 Oct 2016.
Seabed trawling and dredging (where fishing gear is towed near or along the ocean floor) can physically damage seabed (benthic) habitats and species. These fishing methods can also stir up sediment from the seabed, creating sediment plumes that can smother sensitive species. Recovery times for affected habitats and species depend on their sensitivity and the area affected by trawling or dredging. Bottom trawling is carried out on or near the seabed in both shallow and deep waters. Dredging is carried out on the seabed in shallow waters and targets marine creatures such as scallops. This measure focuses on deepwater areas (waters deeper than 200m).
Table ID | 53488 |
---|---|
Data type | Table |
Row count | 30 |
Services | Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 3.0 New Zealand
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 19 Oct 2016.
Seabed trawling and dredging (where fishing gear is towed near or along the ocean floor) can physically damage seabed (benthic) habitats and species. These fishing methods can also stir up sediment from the seabed, creating sediment plumes that can smother sensitive species. Recovery times for affected habitats and species depend on their sensitivity and the area affected by trawling or dredging. Bottom trawling is carried out on or near the seabed in both shallow and deep waters. Dredging is carried out on the seabed in shallow waters and targets marine creatures such as scallops. This measure focuses on deepwater areas (waters deeper than 200m).
Table ID | 53486 |
---|---|
Data type | Table |
Row count | 4 |
Services | Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 3.0 New Zealand
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 25 Apr 2017.
Water is an important source of energy that contributes to New Zealand’s energy supply and the economy. As the main source of renewable energy in New Zealand, the use of water supports the production of the electricity industry. Tracking the value of this water as a natural resource – along with land form, slope, and elevation, which all help to generate hydroelectricity – shows the economic benefits derived from water use for current and future generations. Changes in flow regimes and climate can affect these values.
We report on the value of water resources used to generate hydroelectricity. This value includes both the returns received from current use (resource rent), and expected benefits from future use (the asset value).
Table ID | 53615 |
---|---|
Data type | Table |
Row count | 54 |
Services | Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 14 Oct 2020.
DATA SOURCE: National Institute for Water and Atmospheric Research (NIWA)
[Technical report available at www.mfe.govt.nz/publications/environmental-reporti...]
Adapted by Ministry for the Environment and Statistics New Zealand to provide for environmental reporting transparency
Dataset used to develop the "Atmospheric ozone" indicator [available at www.stats.govtnz/indicators/atmospheric-ozone]
This indicator measures the thickness of total column ozone in Dobson Units observed above Lauder, Otago. We report minimum, average, and maximum annual total column ozone for each year from 1979 to 2019. We also report minimum, average, and maximum daily average column ozone by day of year from 1979 to 2019.
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.
Table ID | 105050 |
---|---|
Data type | Table |
Row count | 1464 |
Services | Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 14 Oct 2020.
DATA SOURCE: National Institute for Water and Atmospheric Research (NIWA)
[Technical report available at www.mfe.govt.nz/publications/environmental-reporti...]
Adapted by Ministry for the Environment and Statistics New Zealand to provide for environmental reporting transparency
Dataset used to develop the "Atmospheric ozone" indicator [available at www.stats.govtnz/indicators/atmospheric-ozone]
This indicator measures the thickness of total column ozone in Dobson Units observed above Lauder, Otago. We report minimum, average, and maximum annual total column ozone for each year from 1979 to 2019, and trends. We also report minimum, average, and maximum daily average column ozone by day of year from 1979 to 2019.
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.
Table ID | 105051 |
---|---|
Data type | Table |
Row count | 6 |
Services | Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 12 Oct 2017.
Autumn rainfall trends for 30 representative sites from 1960–2016.
Rain is vital for life – it supplies the water we need to drink and to grow our food, keeps our ecosystems healthy, and supplies our electricity. New Zealand’s mountainous terrain and location in the roaring forties mean rainfall varies across the country. Changes in rainfall amount or timing can significantly affect agriculture, energy, recreation, and the environment. For example, an increase or decrease of rainfall in spring can have marked effects on crops or fish populations.
Trend direction was assessed using the Theil-Sen estimator and the Two One-Sided Test (TOST) for equivalence at the 95% confidence level.
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.
Table ID | 89402 |
---|---|
Data type | Table |
Row count | 30 |
Services | Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |