Datasets:

Modalities:
Tabular
Text
Formats:
parquet
DOI:
Libraries:
Datasets
Dask
License:

You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

πŸ“’πŸš¨πŸ“£ Sciscinet-v2

Sciscinet-v2 is a refreshed update to SciSciNet which is a large-scale, integrated dataset designed to support research in the science of science domain. It combines scientific publications with their network of relationships to funding sources, patents, citations, and institutional affiliations, creating a rich ecosystem for analyzing scientific productivity, impact, and innovation. Know more.

About Sciscinet-v2

The newer version Sciscinet-v2 is rebuilt using the latest snapshot from OpenAlex. Here are some informative comparisons of Sciscinet-v2 with Sciscinet-v1.

FAQ about Sciscinet-v2

1. How does Sciscinet-v2 compare to the previous version ?

2. Does Sciscinet-v2 include precomputed metrics and linkages ?

3. Do you have precomputed embeddings for papers ?

Due to the sheer size of the embeddings (1.7TB), the chunked embeddings are hosted on Google cloud storage. The easiest way to access them through the following command:
$ gsutil -m cp -r gs://sciscinet-neo/v2/embeddings/* ./path/to/your/directory/

4. I donot see sciscinet_paperdetails.parquet or sciscinet_papertitleabstract.parquet on Huggingface, where can i find them ?

sciscinet_paperdetails.parquet (117 GB) and sciscinet_papertitleabstract.parquet (92GB) are hosted on Google cloud storage and Big Query exclusively because of the size of the files. You can simply access them using the command

$ gsutil ls gs://sciscinet-neo/v2 | grep -e "sciscinet_paperdetails"
gs://sciscinet-neo/v2/sciscinet_paperdetails.parquet

$ gsutil ls gs://sciscinet-neo/v2 | grep -e "sciscinet_papertitleabstract"
gs://sciscinet-neo/v2/sciscinet_papertitleabstract.parquet

5. I donot see sciscinet_journals similar to v1, where can i find journal information ?

Since Sciscinet-v2 is built on top of OpenAlex, journal information is stored in the form of Sources. You can find the same dynamic in the file sciscinet_sources.parquet and paper-source mapping in sciscinet_papersources.parquet.

Access Sciscinet-v2

More information can be found on https://northwestern-cssi.github.io/sciscinet/.

Downloads last month
119