Files and datasets in Parquet format related to molecular dynamics and retrieved from the Zenodo, Figshare and OSF data repositories. The file 'data_model_parquet.md' is a codebook that contains data models for the Parquet files.

Articles submitted (1st edition) to the preprint server arXiv/bioRxiv were converted to text and analysed as follows :

• For arXiv articles, nationality was assigned to the manuscript using the first occurrence of the email address in the manuscript.
• For bioRxiv articles, we assigned nationality using the country tag information in the metadata about the first author.
• We listed the URLs that appeared in each manuscript.
• We checked how many articles contained a particular URL (e.g. github; https://github.com ) by year, month and nationality.

This dataset describes the results of the above work.

R markdown files for:

• Downloading and cleaning data from the State of Open Data survey 2021
• Basic visualisations of responses to questions in the State of Open Data survey 2021
• HTML file of those visualisations.

Free text fields are included in the markdown but have been turned off for knitting and in the HTML file.

Please refer to GitHub (https://doi.org/10.5281/zenodo.7683559) for further data and analysis information

source data

This is data required to reproduce the analysis in the cnidarian genomes paper. By adding this file to the code in the source repository at https://doi.org/10.5281/zenodo.8402538 it is possible to run the code.

Supplemental material

This dataset combines multimodal biosignals and eye tracking information gathered under a human-computer interaction framework. The dataset was developed in the vein of the MAMEM project that aims to endow people with motor disabilities with the ability to edit and author multimedia content through mental commands and gaze activity. The dataset includes EEG, eye-tracking, and physiological (GSR and Heart rate) signals along with demographic, clinical and behavioral data collected from 36 individuals (18 able-bodied and 18 motor-impaired). Data were collected during the interaction with specifically designed interface for web browsing and multimedia content manipulation and during imaginary movement tasks. Alongside these data we also include evaluation reports both from the subjects and the experimenters as far as the experimental procedure and collected dataset are concerned. We believe that the presented dataset will contribute towards the development and evaluation of modern human-computer interaction systems that would foster the integration of people with severe motor impairments back into society.Please use the following citation: Nikolopoulos, Spiros, Georgiadis, Kostas, Kalaganis, Fotis, Liaros, Georgios, Lazarou, Ioulietta, Adam, Katerina, Papazoglou – Chalikias, Anastasios, Chatzilari, Elisavet , Oikonomou, Vangelis P., Petrantonakis, Panagiotis C., Kompatsiaris, Ioannis, Kumar, Chandan, Menges, Raphael, Staab, Steffen, Müller, Daniel, Sengupta, Korok, Bostantjopoulou, Sevasti, Zoe, Katsarou , Zeilig, Gabi, Plotnik, Meir, Gottlieb, Amihai, Fountoukidou, Sofia, Ham, Jaap, Athanasiou, Dimitrios, Mariakaki, Agnes, Comanducci, Dario, Sabatini, Edoardo, Nistico, Walter & Plank, Markus. (2017). The MAMEM Project - A dataset for multimodal human-computer interaction using biosignals and eye tracking information. Zenodo. http://doi.org/10.5281/zenodo.834154Read/analyze using the following software:https://github.com/MAMEM/eeg-processing-toolbox

Initial conditions

Supplemental figures

The R package 'packagefinder' was used to query CRAN and compile this data table. The terms ecology AND evolution were used, and this approach searches all fields.Search conducted July 2019.Code published at Zenodo.https://zenodo.org/account/settings/github/repository/cjlortie/R_package_chooser_checklist

Additional file 1 Detailed imputation results per dataset.

Additional file 1 of Methylation data imputation performances under different representations and missingness patterns (figshare.com)

Harvard Dataverse => Digital Library - Projects & Theses - Prof. Dr. Scholz ----- Introduction and background information to "Digital Library - Projects & Theses - Prof. Dr. Scholz". The URL of the dataverse: http://dataverse.harvard.edu/dataverse/LibraryProfScholz The URL of this (introduction) dataset: http://doi.org/10.7910/DVN/R33RS9 YOU MAY HAVE BEEN DIRECTED HERE, BECAUSE THE CALLING PAGE HAS NO OTHER ENTRY POINT (with DOI) INTO THIS DATAVERSE. Click on the title of this page to reach the start page of the dataverse! Introduction to the Data in this Dataverse This dataverse is about: Aircraft Design Flight Mechanics Aircraft Systems This dataverse contains research data and software produced by students for their projects and theses on above topics. Get linked to all other resources from their reports using the URN from the German National Library (DNB) as given in each dataset under "Metadata": https://nbn-resolving.org/html/urn:nbn:de:gbv:18302-aeroJJJJ-MM-DD.01x Alternative sites that store the data given in this dataverse are: http://library.ProfScholz.de and https://archive.org/details/@profscholz Open an "item". Under "DOWNLOAD OPTIONS" select the file (as far as available) called "ZIP" to download DataXxxx.zip. Alternatively, go to "SHOW ALL"; In the new window select next to DataXxxx.zip click "View Contents" or select URL next to "Data-list". Download single file from DataXxxx.zip. Data Publishing Data publishing means publishing of research data for (re)use by others. It consists of preparing single files or a dataset containing several files for access in the WWW. This practice is part of the open science movement. There is consensus about the benefits resulting from Open Data - especially in connection with Open Access publishing. It is important to link the publication (e.g. thesis) with the underlying data and vice versa. General (not disciplinary) and free data repositories are: Harvard Dataverse (this one!) figshare (emphasis: multi media) Zenodo (emphasis: results from EU research, mainly text) Mendeley Data (emphasis: data associated with journal articles) To find data repositories use http://re3data.org Read more on https://en.wikipedia.org/wiki/Data_publishing

Supplementary materials

Data collection

Dataset extracted from the source code of OpenJDK 8: http://openjdk.java.net/

This dataset is a breakdown in 4 different files of the dataset at: https://doi.org/10.5281/zenodo.579977

The dataset includes different kinds of triples: structural information extracted from source code, DBpedia links generated from javadoc comments, actual source code as literals and literal comments.

All the necessary information can be found in the README.txt file in the data folder.

DO NOT USE.

Find the actual publication: https://dx.doi.org/10.6084/m9.figshare.3427271.v1 Contribute at: https://github.com/SemsProject/CombineArchiveShowCase

This is a reference library for an 18S primer pair. See here for details - https://zenodo.org/badge/latestdoi/134130931

Collected to perform experimentation on how bluetooth signal strengths can be used to determine one of the indoor locations. The dataset has 6 transmission power, from Tx01 to Tx06; and in each dataset have 5 features with the bluetooth RSSI because the enviroment have 5 BLE4.0 and 1 categorical target that is the sector where the person is located (15 sectors total).