A collection of Jupyter notebooks, each walking you through a common example of bibliometric analysis using scholarly data from the OpenAlex API.
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Updated
Apr 25, 2024 - Jupyter Notebook
A collection of Jupyter notebooks, each walking you through a common example of bibliometric analysis using scholarly data from the OpenAlex API.
Research data analytics tutorials using the Dimensions Analytics API
Python client and CLI for scientometrics and research analytics using the Dimensions API.
Source code for Dimensions BigQuery LAB
AI-powered toolkit for analyzing and classifying academic research publications using LLMs and automated data collection. Output options: Mongodb database via providing your databse url. Json. Excel spreadsheet. See README for the quick setup, see documentation for implementation details.
Stata 18 Complete Statistical Setup — econometrics, panel data, survival analysis and reproducible research workflows.
Stable public software record for SciNetX with citation, publication, and access information
AI-powered toolkit for analyzing and classifying academic research publications using LLMs and automated data collection. Output options: Mongodb database via providing your databse url. Json. Excel spreadsheet. See README for the quick setup, see documentation for implementation details:
A full-stack academic research database management system for managing researchers, publications, grants, collaborations, and research analytics across universities.
Author and publication networks for academics
Exploring the OpenAlex datasets
This repository contains a comprehensive exploration of Brain-Computer Interfaces (BCIs) and deep learning applications in EEG data. It includes a detailed literature review of significant research papers, highlighting methodologies, findings, and trends in the field.
Decision-ready research intelligence platform for semantic enrichment, authority control, institutional benchmarking, and knowledge graph analytics.
Tech Challenge of the Postgraduate in Data Analytics, from FIAP, developing a Data Warehouse with data from PNAD-COVID-19, from IBGE, using Pyspark and Google BigQuery for ETL, as well as an analysis of the importance of variables using permutation and a random forest model for classifying the condition of COVID-19,to guide the analysis of the data
Poll Results Visualizer is an end-to-end data analytics project that transforms raw polling data into meaningful insights using Python and an interactive Streamlit dashboard.
📈 Stata 2026 - full statistical analysis software unlocked with regression, ANOVA, time series, panel data, data visualization, and all pro features activated. No trial limit. Free download for Windows 10/11.
My Integrated Research Environment: an interoperable, end-to-end solution for reproducible research. The IDE for Research.
Analytics and scenario modelling of global university rankings using Python, and public higher education datasets.
SQL product/research analytics project for a synthetic sleep-tracking healthtech app.
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