| Date | DOI | PackageId | Note |
|---|---|---|---|
| 2022-05-03 | 10.18728/igb-fred-702.0 | 702 | |
| 2022-07-04 | 10.18728/igb-fred-738.1 | 738 | |
| 2022-11-15 | 10.18728/igb-fred-777.2 | 777 | this package latest |
Ephemeroptera, Trichoptera and Odonata from Qiandao Lake tributaries, China
Study site: China. Authors: Jonathan Tonkin.
Contact details:
Jonathan Tonkin. E-mail: jonathan.tonkin@canterbury.ac.nz. ORCID: https:/orcid.org/0000-0002-6053-291X. Affiliation: University of Canterbury.
Coordinates of the bounding box (ulx, uly, lrx, lry): 118.7274607, 29.78445875, 119.2364958, 29.37642895
Centroid coordinates (x,y): 118.980203,29.533845
Number of records: 56
The dataset includes records in areas:
Not protected on the observation date (0)
using the November 2022 version of the Protected Planet WDPA WD-OECM dataset
(Protected Planet: World Database on Protected Areas (WDPA)
and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UNEP-WCMC and IUCN, 2022).
Please see publication for further information.
Freshwater Ecoregions of the World (FEOW, Abell et al., 2008) covered: 766
Taxonomic focus of the study: All macroinvertebrate community
Survey methods: Surber sampler
GeoNode layers
| Title | Upload date | Filetype | Licence | Actions |
|---|---|---|---|---|
| Column_explanation.pdf | 15. Nov. 2022 12:08 | ODC-By | Download |
| Title | created | Filetype | Actions |
|---|---|---|---|
| Ephemeroptera,_Trichoptera_and_Odonata_from_Qiandao_Lake_tributaries,_China.csv | 15. Nov. 2022 12:08 | datatable: .csv | Download |
FRED provides all metadata of this package in a maschine readable format. There is a pure XML file and one EML file in Ecological Metadata Language. Both files are published under the freeODC-ByLicence.
You are about to leaving FRED and visting a third party website. We are not responsible for the content or availability of linked sites.
To remain on our site, click Cancel.
Estimated Time:
While parsing a file, the database has to perform various tasks, some of them needs a lot of CPU and memory for larger files.