First year Biomass NPK-D Network (Datasets and R code files)
- figshare.com
csvUpdated May 3, 2025
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EmailClick to copy linkLink copiedCiteViviana Bondaruk (2025). First year Biomass NPK-D Network (Datasets and R code files) [Dataset]. http://doi.org/10.6084/m9.figshare.27249012.v1csvAvailable download formatsUnique identifierhttps://doi.org/10.6084/m9.figshare.27249012.v1Dataset updatedMay 3, 2025AuthorsViviana BondarukLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionFiles attached: Dataframe for biomass data with site information, aridity index and category, treatment detail, LRR Biomass, site richness, mean annual precipitation and interannual precipitation variability, graminoid proportion and soil estimated % N. Dataframe of plant functional groups biomass with the detail of sites, replicates, treatments. R-code file is also attached with the detailed scripts for statistical analysis in R software (version 4.4.1) using packages of "tidyverse" to facilitate coding and graphing, "DHARMa" for visualization of residuals, "glmmTMB" to fit a generalized linear mixed model and "ggeffects" to calculate and plot average marginal effects of predictors from the mixed-effects model.
Countries by population 2021 (Worldometer)
- kaggle.com
zipUpdated Aug 16, 2021ShareFacebookTwitterEmailClick to copy linkLink copiedCiteArtem Zapara (2021). Countries by population 2021 (Worldometer) [Dataset]. https://www.kaggle.com/datasets/artemzapara/countries-by-population-2021-worldometerzip(8163 bytes)Available download formatsDataset updatedAug 16, 2021AuthorsArtem ZaparaDescriptionContext
This dataset is a clean CSV file with the most recent estimates of the population of the countries according to Wolrdometer. The data is taken from the following link: https://www.worldometers.info/world-population/population-by-country/
Content
The data has been generated by websraping the aforementioned link on the 16th August 2021. Below is the code used to make CSV data in Python 3.8:
import requestsfrom bs4 import BeautifulSoupimport pandas as pdurl = "https://www.worldometers.info/world-population/population-by-country/"r = requests.get(url)soup = BeautifulSoup(r.content)countries = soup.find_all("table")[0]dataframe = pd.read_html(str(countries))[0]dataframe.to_csv("countries_by_population_2021.csv", index=False)Acknowledgements
The creation of this dataset would not be possible without a team of Worldometers, a data aggregation website.
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FacebookTwitterEmailAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Files attached: Dataframe for biomass data with site information, aridity index and category, treatment detail, LRR Biomass, site richness, mean annual precipitation and interannual precipitation variability, graminoid proportion and soil estimated % N. Dataframe of plant functional groups biomass with the detail of sites, replicates, treatments. R-code file is also attached with the detailed scripts for statistical analysis in R software (version 4.4.1) using packages of "tidyverse" to facilitate coding and graphing, "DHARMa" for visualization of residuals, "glmmTMB" to fit a generalized linear mixed model and "ggeffects" to calculate and plot average marginal effects of predictors from the mixed-effects model.