Creative Commons Attribution 4.0 International
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This item was first added to MfE Data Service on 16 Apr 2019
| Document ID | 21933 |
|---|---|
| File name | lake-water-quality-28-year-trends-raw-data.csv |
| Type | CSV |
| Size | 23.8 KB |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This item was first added to MfE Data Service on 16 Apr 2019
| Document ID | 21929 |
|---|---|
| File name | lake-water-quality-20-year-trends-raw-data.csv |
| Type | CSV |
| Size | 47.4 KB |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This item was first added to MfE Data Service on 16 Apr 2019
| Document ID | 21932 |
|---|---|
| File name | lake-water-quality-20-year-trends-raw-data.csv |
| Type | CSV |
| Size | 47.4 KB |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This item was first added to MfE Data Service on 16 Apr 2019
| Document ID | 21928 |
|---|---|
| File name | lake-water-quality-10-year-trends-raw-data.csv |
| Type | CSV |
| Size | 167 KB |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This item was first added to MfE Data Service on 16 Apr 2019
| Document ID | 21931 |
|---|---|
| File name | lake-water-quality-10-year-trends-raw-data.csv |
| Type | CSV |
| Size | 167 KB |
Creative Commons Attribution-NonCommercial 4.0 International
You may not 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.
Submerged plants are good indicators of the ecological quality of lakes. Because they are attached to the bed of lakes, submerged plants are easy to observe and identify, and they are unable to move away from environmental changes. The plant species found within lakes can tell us about their level of habitat degradation and exotic weed invasion.
The file contains Lake submerged plant index scores for each sampling occasion.
| Table ID | 53606 |
|---|---|
| Data type | Table |
| Row count | 248 |
| 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 06 Apr 2020.
The most recent assessment of ecological condition of 295 lakes in New Zealand assessed on at least one occasion between 1991 and 2019 was measured using the lake submerged plant index (LakeSPI).
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 | 104564 |
|---|---|
| Data type | Table |
| Row count | 295 |
| Services | Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 3.0 New Zealand
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This item was first added to MfE Data Service on 07 Oct 2015
| Document ID | 11463 |
|---|---|
| File name | hydrological-indices-for-national-environmental-reporting.pdf |
| Type | |
| Size | 3.93 MB |
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.
| Table ID | 53611 |
|---|---|
| Data type | Table |
| Row count | 796 |
| 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.
| Table ID | 53609 |
|---|---|
| Data type | Table |
| Row count | 1646 |
| Services | Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |