| Date | DOI | PackageId | Note |
|---|---|---|---|
| 2022-05-03 | 10.18728/igb-fred-716.0 | 716 | |
| 2022-07-04 | 10.18728/igb-fred-751.1 | 751 | |
| 2022-11-15 | 10.18728/igb-fred-790.2 | 790 | this package latest |
IberArtro-TRICHOPTERA
Study site: Iberian Peninsula. Authors: Núria Bonada & Raúl Acosta.
Contact details:
Raúl Acosta. E-mail: racosta@ub.edu. ORCID: https:/orcid.org/0000-0003-0923-8237. Affiliation: University of Barcelona.
Núria Bonada. E-mail: bonada@ub.edu. ORCID: https:/orcid.org/0000-0002-2983-3335. Affiliation: University of Barcelona.
Abundance information can be found upon communication with the authors.
Coordinates of the bounding box (ulx, uly, lrx, lry): -17.79, 43.63, 3.99, 28.04
Centroid coordinates (x,y): -3.688279,40.780222
Number of records: 9240
The dataset includes records in areas:
Not protected on the observation date (0)
Protected on the observation date (1)
Protected on a date following the observation date (2)
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: 403,412-414,903,904
Taxonomic focus of the study: Trichoptera
Survey methods: hand nets, kick nets, light traps
GeoNode layers
| Title | Upload date | Filetype | Licence | Actions |
|---|---|---|---|---|
| Column_explanation.pdf | 15. Nov. 2022 14:18 | ODC-By | Download |
| Title | created | Filetype | Actions |
|---|---|---|---|
| IberArtro-TRICHOPTERA.csv | 15. Nov. 2022 14:18 | 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.
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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.