Data discussed in the manuscript "Humanities Data Analysis: Case Studies with Python". Each folder in this dataset contains data used or discussed in one chapter. The data itself resides in a ``data`` directory inside each folder. Each ``data`` directory contains a ``README`` file which describes the files found in the directory. Most of the data are texts published before 1900. These texts are in the public domain
Readme.txt files are a common type of study-level documentation. “Study-level documentation for a da...
Schnell_et_al_2017_data contains specific information about and all data described in the manuscript...
The README file contains descriptions of all files included in the Data and Analysis directories as ...
Data discussed in the manuscript "How to Read a Million Books: An Introduction to Data Analysis for ...
Code blocks discussed in the manuscript "Humanities Data Analysis: Case Studies with Python". Each f...
Data utilized in the study. The zip folder contains the following files: Dataset, Pedigree, EBVs, Re...
The zip-file contains the data files that were used in the analysis reported in this manuscript. Wit...
Supplementary tables and datasets associated with the preprint "Public human microbiome data dominat...
This folder contains both data and Python code to reproduce the set of exhibits included in the manu...
Data and algorithms for analysis associated with manuscript. See 'readme.txt' for further detail
This article contains a ZIP archive, `data.zip`, that contains several directories and a `README`. F...
Supplementary tables and datasets associated with the PLOS Biology publication "Public human microbi...
We introduce a toolkit for working with the 13.6 million volume Extracted Features Dataset from the ...
<p>The zip file contains all raw data associated with the manuscript 'A universal poroelastic mechan...
The file contains the dataset. A brief description of the variables is available in the ReadMe file....
Readme.txt files are a common type of study-level documentation. “Study-level documentation for a da...
Schnell_et_al_2017_data contains specific information about and all data described in the manuscript...
The README file contains descriptions of all files included in the Data and Analysis directories as ...
Data discussed in the manuscript "How to Read a Million Books: An Introduction to Data Analysis for ...
Code blocks discussed in the manuscript "Humanities Data Analysis: Case Studies with Python". Each f...
Data utilized in the study. The zip folder contains the following files: Dataset, Pedigree, EBVs, Re...
The zip-file contains the data files that were used in the analysis reported in this manuscript. Wit...
Supplementary tables and datasets associated with the preprint "Public human microbiome data dominat...
This folder contains both data and Python code to reproduce the set of exhibits included in the manu...
Data and algorithms for analysis associated with manuscript. See 'readme.txt' for further detail
This article contains a ZIP archive, `data.zip`, that contains several directories and a `README`. F...
Supplementary tables and datasets associated with the PLOS Biology publication "Public human microbi...
We introduce a toolkit for working with the 13.6 million volume Extracted Features Dataset from the ...
<p>The zip file contains all raw data associated with the manuscript 'A universal poroelastic mechan...
The file contains the dataset. A brief description of the variables is available in the ReadMe file....
Readme.txt files are a common type of study-level documentation. “Study-level documentation for a da...
Schnell_et_al_2017_data contains specific information about and all data described in the manuscript...
The README file contains descriptions of all files included in the Data and Analysis directories as ...