Marine litter 2018-2019

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Creative Commons Attribution 4.0 International

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3022
57
Added
16 Oct 2019

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

These data provide a snap shot of beach litter surveys submitted by Citizen Scientist ‘Monitoring Groups’ up to April, 2019. As defined by the United Nations Environment Programme (UNEP, 2009), marine litter is any persistent, manufactured or processed solid material discarded, disposed of, abandoned or lost in the marine and coastal environment. Marine litter washed onto beaches is one of the most obvious signs of marine pollution, and can have either land or sea-based origins. Land-based sources of marine litter include input from rivers, sewage and storm water outflows, tourism and recreation, illegal dumping, and waste disposal sites. Sea-based sources include commercial shipping, fisheries and aquaculture activities, recreational boating and offshore installations.

UNEP, 2009. Marine Litter: A Global Challenge. Nairobi: UNEP. 232 pp.

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 104071
Data type Table
Row count 984
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River water quality trends, 2008–2017, 1998–2017, and 1990–2017

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Creative Commons Attribution 4.0 International

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6410
73
Updated
15 Apr 2020

This dataset was last updated on MfE Data Service on 15 Apr 2020.

16 April 2020: Subsequent to publication in April 2019 we discovered two small errors with this dataset. These included:

  • Errors in the coordinates of some sites and their associated metadata (such as landcover and elevation).
  • Errors in our calculation of dominant landcover.

In addition, flow data from TopNet has also been updated.

These changes have a minor impact on overall results. These changes have have been corrected, and are republished here, as part of the Our freshwater 2020 release.

This dataset measures how water quality in New Zealand’s rivers is changing over time. It contains nine parameters of water quality based on measurements made at monitored river sites in years 1990-2017:

  • Nitrate-nitrogen
  • Ammoniacal nitrogen
  • Total nitrogen
  • Total phosphorus
  • Dissolved reactive phosphorus
  • Water clarity
  • Turbidity
  • Escherichia coli
  • Macroinvertebrate community index

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.

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

Table ID 99883
Data type Table
Row count 9225
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River water quality, raw data by site, 1975-2013

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Creative Commons Attribution 3.0 New Zealand

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18774
484
Added
30 Mar 2017

This dataset was first added to MfE Data Service on 30 Mar 2017.

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. Escherichia coli (E.coli) can indicate the presence of pathogens (disease-causing organisms) from animal or human faeces, which can cause illness.

File contains raw data collected at regional council and NIWA monitored sites over the period 1975-2013. Fields are described as follows. Refer to Larned et al. 2015 for further details:
* nemarid ---- Unique NIWA ID
* lawaid ---- Unique LAWA ID
* rcid ---- Collection agency
* srcid ---- Region site is located in
* sflag ---- River (r) or Estuary (e)
* river ---- River name
* location ---- Name of site, assigned by collection agency
* nzmge ---- easting
* nzmgn ---- northing
* nzreach ---- REC1 segment identifier
* sdate ---- Sample date (yyyy-mm-dd)
* Q ---- Flow recorded when sample was taken (if available), cumecs
* npid ---- NIWA parameter ID (as used in Larned et al. 2015)
* lpid ---- LAWA parameter ID
* fdval ---- Parameter value (units are mg/m3, except CLAR (m) and ECOLI (n/100 mL))

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/Mo8VUY 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 53590
Data type Table
Row count 732014
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

New Zealand's greenhouse gas emissions (1990–2013)

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Creative Commons Attribution 3.0 New Zealand

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9680
108
Added
01 Oct 2015

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

Our greenhouse gas (GHG) emissions are small compared with those of other developed nations, but we have committed to being part of the global response to climate change. New Zealand's greenhouse gas inventory is an annual report on all of the country’s human-induced GHG emissions and removals of GHG emissions. The inventory is produced as part of our obligations under the United Nations Framework Convention on Climate Change (UNFCCC) and the Kyoto Protocol.
Some GHG emissions are removed, primarily by forests. Net emissions represent the total amount of gas contributed to the atmosphere but gross emmissions are also provided for New Zealand.
This dataset relates to the "New Zealand's greenhouse gas emissions" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52565
Data type Table
Row count 24
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Ocean acidification, 1998–2016

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Creative Commons Attribution 4.0 International

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7192
69
Added
14 Oct 2017

This dataset was first added to MfE Data Service on 14 Oct 2017.

The pH of New Zealand subantarctic waters is calculated from pCO2 (dissolved carbon dioxide) and alkalinity measurements using refitted Mehrbach constants (see Mehrbach et al, 1973; Dickson & Millero, 1987), and in-situ temperature taken from the Munida time-series transect off the Otago coast. Measurements of pCO2 are taken every two months.
The Munida transect, in the subantarctic waters off Otago, is the Southern Hemisphere’s longest-running record of pH measurements (NIWA, 2015).
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 89461
Data type Table
Row count 660
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Ozone hole, 1979–2016

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Creative Commons Attribution 4.0 International

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5998
62
Added
14 Oct 2017

This dataset was first added to MfE Data Service on 14 Oct 2017.

Ozone is a gas that forms a naturally occurring layer in the upper atmosphere (stratosphere), protecting Earth from the sun’s ultraviolet (UV) light. The ozone hole is an area of reduced stratospheric ozone. It forms in spring over Antarctica because of ozone-depleting substances (ODSs) produced from human activities. The ozone hole has started to shrink due to the phase-out of ODSs, and it is possible that it will cease to form by the middle of this century.
The ozone hole does not have a large effect on the concentration of ozone over New Zealand. However, when the ozone hole breaks up in spring, it can send ‘plumes’ of ozone-depleted air over New Zealand. Reporting on the state of the ozone hole helps us understand the state of ozone concentrations globally.
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 89466
Data type Table
Row count 37
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Land use - Land cover classes, 1996, 2001, 2008, and 2012

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Creative Commons Attribution 3.0 New Zealand

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8289
219
Added
28 Sep 2015

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

Land use that results in a change from indigenous to exotic cover can cause biodiversity loss and reduce functioning of ecosystems. Using more land for agriculture, forestry, and urbanisation is the main driver reducing indigenous land cover across New Zealand.

Column headings:
area_ha = area of land cover measured in hectares

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

Table ID 52469
Data type Table
Row count 272
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Air pollutant emissions

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

7028
89
Added
16 Oct 2018

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

An emissions inventory provides information on the amount of key air pollutants that are released into the atmosphere for a given location over a given time period. This enables us to identify sources of pollutants. By understanding the amounts that different sources contribute, air quality can be better managed and modelled.
We evaluated emissions for five key pollutants for 2015, the most-recent year that data were readily available: particulate matter (PM) less than 10 micrometres in diameter (PM10), PM less than 2.5 micrometres in diameter (PM2.5), carbon monoxide (CO), nitrogen oxides (NOx), and sulphur dioxide (SO2), because they are the most important pollutants in New Zealand.
The grouped sources include: energy-related activities, construction dust, road dust, industrial process emissions (non-combustion), agriculture (emissions from animal housing), vegetation fires (burning agricultural residue and biomass burning), and incinerating of hazardous waste.
Only human-generated emissions were included in this emission inventory. No updated data for residential wood burning were available and was assumed to be the same as the 2013 national inventory.

Table ID 98424
Data type Table
Row count 26
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River water quality modelled, state, 2013–2017

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Creative Commons Attribution 4.0 International

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840
583
Updated
22 Apr 2021

This dataset was last updated on MfE Data Service on 22 Apr 2021.

23 April 2021: A new version of this data set has been published. It includes data on 4 parameters (Ammoniacal nitrogen (adjusted), Escherichia coli, Macroinvertebrate Community Index and Total Phosphorus) that had been missing from the file that was published as part of the Our freshwater 2020 release in April 16 2020. The updated data set also includes data on DRP for all 593,337 REC segments, since the file from April 16 2020 only had data for 255,860 of these segments.

16 April 2020: Subsequent to publication in April 2019 we discovered two small errors with this dataset. These included:

  • Errors in the coordinates of some sites and their associated metadata (such as landcover and elevation).
  • Errors in our calculation of dominant landcover.

In addition, flow data from TopNet has also been updated.

These changes have a minor impact on overall results. These changes have have been corrected, and are republished here, as part of the Our freshwater 2020 release.

IMPORTANT INFORMATION

1) The main (cleaned) dataset is structured by each row having a nzsegment and np_id combination. A large dataset (~ 1 GB) has resulted, due to the inclusion of the ANZG/NOF columns and the 10 different np_id values. There are ~ 6 million rows to this dataset, however a 32-bit version of Microsoft Excel will only display/download ~ 1 million rows. A DBMS, statistical or GIS application is needed to view the entire dataset.

2) A smaller raw dataset (see attachments) is provided which structures each row relating to a river segment and drops the ANZG/NOF columns.

3) The attached metadata/date quality report provides further information on the NOF, ANZG and the "McDowell meet/doesnt meet" attachment.

This dataset contains ten parameters of water quality based on measurements made at monitored river sites:

  • Nitrate-nitrogen
  • Ammoniacal nitrogen
  • Ammoniacal nitrogen (adjusted)
  • Total nitrogen
  • Total phosphorus
  • Dissolved reactive phosphorus
  • Water clarity
  • Turbidity
  • Escherichia coli
  • Macroinvertebrate community index These parameters are used to measure:
  • Modelled median values for all of New Zealand’s river length for the period 2013 to 2017
  • For selected indicators, how the modelled values compare to the National Objectives Framework (NOF) (MfE, 2017) bands related to ecosystem health and human health for recreation, and to expected concentrations in natural conditions, as shown by the default guideline values in the Australian and New Zealand guidelines for fresh and marine water quality (ANZG, 2018)

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.

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

Table ID 99871
Data type Table
Row count 5933730
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Hector’s and Māui dolphin deaths (1921–2015)

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Creative Commons Attribution 3.0 New Zealand

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6415
47
Added
19 Oct 2016

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

The Hector’s and Māui dolphins are subspecies of the small dolphin Cephalorhynchus hectori. These coastal dolphins are endemic to New Zealand (not found anywhere else). Māui dolphins are found on the west coast of the North Island, most often between Maunganui Bluff, north of Dargaville, and New Plymouth. Hector’s dolphins are mostly found around the South Island. Both subspecies are threatened with extinction. The Hector’s dolphin is classified as nationally endangered, while the Māui dolphin is nationally critical. Dolphins can become entangled in fishing gear used by both commercial and recreational fishers, with set nets posing a particularly high risk. Reporting the bycatch of protected species helps us understand the pressures our protected marine species face from fishing.
We report on two aspects of Hector’s and Māui dolphin deaths based on data extracted from the Department of Conservation (DOC) Incident Database for 1921–2015: the number of dolphin deaths by cause of death, including a comparison of deaths over 1996–2015; and the number of dolphin deaths from entanglement by type of fishing gear.

Table ID 53475
Data type Table
Row count 561
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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