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687 Odonata of the East Maranhão state

Title
Odonata of the East Maranhão state
Description

Odonata of the East Maranhão state

 

Study site: Brazil. Authors: Rafael Costa Bastos, Leandro Schlemmer Brasil, Fernando Geraldo Carvalho, Lenize Batista Calvão, José Orlando de Almeida Silva, Leandro Juen. Data from https://doi.org/10.1590/1676-0611-BN-2019-0734 .

 

Contact details:

Rafael Costa Bastos. E-mail: bastosrc.bio@gmail.com. ORCID: https://orcid.org/0000-0001-7581-7099. Affiliation: Universidade Federal do Maranhão.

 

Coordinates of the bounding box (ulx, uly, lrx, lry): -43.874, -4.463, -43.755, -4.502

Centroid coordinates (x,y): -43.817202,-4.484404

Number of records: 104

 

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: 323

 

Species Groups
Study site
_global
GeoNode references

GeoNode layers

  • Odonata_of_the_East_Maranhao_state
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 15:28.pdf Download

Data files (e.g. excel)

TitlecreatedFiletypeActions
Odonata_of_the_East_Maranhao_state.csv 15. Nov. 2022 15:28 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.

  • Odonata_of_the_East_Maranhão_state.xml
  • Odonata_of_the_East_Maranhão_state.eml

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Parsing data File

Estimated Time:

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)