Name: Diversity Of Microorganisms And Plants
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Diversity Of Microorganisms And Plants

Diversity of Microorganisms and Plants

Implications for Health and Agriculture

By [source]

About this dataset

This dataset contains information on papers published in MDPI journals. The papers are categorized by subject, and the dataset includes information on the journal in which they were published, the number of citations the paper received, and other factors. This dataset provides a valuable resource for researchers looking to understand the impact of their work in different fields, and can also be used to identify patterns and trends in publishing behavior

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How to use the dataset

This dataset contains information on papers published in MDPI journals. The data includes the title, abstract, author keywords, journal name, and DOI for each paper.

To use this dataset, simply download it and then open it in your preferred spreadsheet application

Research Ideas

To measure the impact of journals in different fields

To study the diversity of papers published in different journals

To compare the number of publications between different journals

Acknowledgements

If you use this dataset in your research, please credit the original authors.

Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: pub_table.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Pub Table

@kaggle.thedevastator_diversity_of_microorganisms_and_plants.pub_table

270.59 kB
8,717 rows
9 columns

CREATE TABLE pub_table (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "link" VARCHAR,
  "received" TIMESTAMP,
  "revised" TIMESTAMP,
  "accepted" TIMESTAMP,
  "published" TIMESTAMP,
  "special_issue" VARCHAR,
  "days" BIGINT,
  "is_s_issue" VARCHAR
);