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662 A survey of Odonata of Puerto Rico

Title
A survey of Odonata of Puerto Rico
Description

A survey of Odonata of Puerto Rico

 

Study site: Puerto Rico. Authors: Alonso Ramirez. Data from https://zenodo.org/record/3841637 .

 

Abundance information available in https://zenodo.org/record/3841637.

 

 

Coordinates of the bounding box (ulx, uly, lrx, lry): -67.250533, 18.5123889, -65.39258, 17.9470825195312

Centroid coordinates (x,y): -66.525951,18.210443

Number of records: 841

 

The dataset includes records in areas: 

Not protected on the observation date (0)

Protected on the observation date (1)

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: 215

 

 

Taxonomic focus of the study: Odonata

 

Survey methods: Miscellaneous

 

Species Groups
Study site
_global
GeoNode references

GeoNode layers

  • A_survey_of_Odonata_of_Puerto_Rico
Contact
Afroditi Grigoropoulou
Licence for data
All rights reserved. Please send a request to Afroditi Grigoropoulou if you like to use this data. Mind our data policy: IGB Data Policy

Metadata files

TitleUpload dateFiletypeLicenceActions
Column_explanation.pdf15. Nov. 2022 11:17.pdf Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
A_survey_of_Odonata_of_Puerto_Rico.csv 15. Nov. 2022 10:58 datatable: .csv Download

Machine Readable Metadata Files

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 free CC BY 4.0 Licence.

  • A_survey_of_Odonata_of_Puerto_Rico.xml
  • A_survey_of_Odonata_of_Puerto_Rico.eml

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Parsing data File

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Why does it take so much 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.

  • preprocessing: means automatic detection of headlines, table body, format values or csv-separators
  • copying: means read the file cell by cell and copy all elements to the database. During this format settings can be calculated (for example iso-time)
  • analyzing: check out for different data types (can be time, numeric or text)