Datasets:
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Browse files- README.md +226 -0
- openalex/authors_ids/authors_ids.parquet +3 -0
- openalex/concepts/concepts.parquet +3 -0
- openalex/domains/domains.parquet +3 -0
- openalex/fields/fields.parquet +3 -0
- openalex/institutions/institutions.parquet +3 -0
- openalex/publishers/publishers.parquet +3 -0
- openalex/sources/sources.parquet +3 -0
- openalex/subfields/subfields.parquet +3 -0
- openalex/topics/topics.parquet +3 -0
- openalex/works_best_oa_location/works_best_oa_location.parquet +3 -0
- openalex/works_biblio/works_biblio.parquet +3 -0
- openalex/works_counts_by_year/works_counts_by_year.parquet +3 -0
- openalex/works_open_access/works_open_access.parquet +3 -0
- p2p/preprint_to_paper/preprint_to_paper.parquet +3 -0
- p2p/preprint_to_paper/preprint_to_paper_grayzone.parquet +3 -0
- retwatch/retraction_watch/retraction_watch.parquet +3 -0
- sciscinet/core/funders.parquet +3 -0
- sciscinet/core/hit_papers_level0.parquet +3 -0
- sciscinet/core/hit_papers_level1.parquet +3 -0
- sciscinet/core/normalized_citations_level0.parquet +3 -0
- sciscinet/core/normalized_citations_level1.parquet +3 -0
- sciscinet/core/sciscinet_affiliations.parquet +3 -0
- sciscinet/core/sciscinet_affl_assoc_affl.parquet +3 -0
- sciscinet/core/sciscinet_author_details.parquet +3 -0
- sciscinet/core/sciscinet_authors.parquet +3 -0
- sciscinet/core/sciscinet_authors_paperid.parquet +3 -0
- sciscinet/core/sciscinet_clinicaltrials_metadata.parquet +3 -0
- sciscinet/core/sciscinet_fields.parquet +3 -0
- sciscinet/core/sciscinet_link_clinicaltrials.parquet +3 -0
- sciscinet/core/sciscinet_link_newsfeed.parquet +3 -0
- sciscinet/core/sciscinet_link_nih.parquet +3 -0
- sciscinet/core/sciscinet_link_nobellaureates.parquet +3 -0
- sciscinet/core/sciscinet_link_nsf.parquet +3 -0
- sciscinet/core/sciscinet_link_patents.parquet +3 -0
- sciscinet/core/sciscinet_link_twitter.parquet +3 -0
- sciscinet/core/sciscinet_newsfeed_metadata.parquet +3 -0
- sciscinet/core/sciscinet_nih_metadata.parquet +3 -0
- sciscinet/core/sciscinet_nsf_metadata.parquet +3 -0
- sciscinet/core/sciscinet_paper_author_affiliation.parquet +3 -0
- sciscinet/core/sciscinet_paperfields.parquet +3 -0
- sciscinet/core/sciscinet_paperrefs.parquet +3 -0
- sciscinet/core/sciscinet_papers.parquet +3 -0
- sciscinet/core/sciscinet_papers_pmid_pmcid.parquet +3 -0
- sciscinet/core/sciscinet_papersources.parquet +3 -0
- sciscinet/core/sciscinet_sources.parquet +3 -0
- sciscinet/core/sciscinet_twitter_metadata.parquet +3 -0
- xref/coverage_stats/coverage_summary.json +13 -0
- xref/coverage_stats/upset_data.json +342 -0
- xref/coverage_stats/year_distribution.json +212 -0
README.md
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| 1 |
+
---
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| 2 |
+
language:
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| 3 |
+
- en
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| 4 |
+
license:
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| 5 |
+
- cc0-1.0
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| 6 |
+
- cc-by-4.0
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| 7 |
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- cc-by-sa-4.0
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| 8 |
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- cc-by-nc-sa-4.0
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| 9 |
+
size_categories:
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| 10 |
+
- 100M<n<1B
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| 11 |
+
task_categories:
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| 12 |
+
- text-classification
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| 13 |
+
- feature-extraction
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| 14 |
+
tags:
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| 15 |
+
- scholarly
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| 16 |
+
- academic
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| 17 |
+
- citations
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| 18 |
+
- bibliometrics
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| 19 |
+
- science-of-science
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| 20 |
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- openalex
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| 21 |
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- sciscinet
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| 22 |
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- papers-with-code
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| 23 |
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- duckdb
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| 24 |
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- parquet
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| 25 |
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- ontologies
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| 26 |
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- knowledge-graph
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| 27 |
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pretty_name: Science Data Lake
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| 28 |
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configs:
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# Cross-reference tables
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| 30 |
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- config_name: unified_papers
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data_files: "xref/unified_papers/*.parquet"
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| 32 |
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- config_name: topic_ontology_map
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| 33 |
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data_files: "xref/topic_ontology_map/*.parquet"
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| 34 |
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- config_name: ontology_bridges
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data_files: "xref/ontology_bridges/*.parquet"
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| 36 |
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# OpenAlex (CC0 1.0)
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| 37 |
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- config_name: openalex_works
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| 38 |
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data_files: "openalex/works/*.parquet"
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| 39 |
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- config_name: openalex_authors
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| 40 |
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data_files: "openalex/authors/*.parquet"
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| 41 |
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- config_name: openalex_topics
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| 42 |
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data_files: "openalex/topics/*.parquet"
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| 43 |
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- config_name: openalex_works_topics
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| 44 |
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data_files: "openalex/works_topics/*.parquet"
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| 45 |
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- config_name: openalex_works_authorships
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| 46 |
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data_files: "openalex/works_authorships/*.parquet"
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| 47 |
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- config_name: openalex_works_referenced_works
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| 48 |
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data_files: "openalex/works_referenced_works/*.parquet"
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| 49 |
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- config_name: openalex_works_keywords
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| 50 |
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data_files: "openalex/works_keywords/*.parquet"
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| 51 |
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- config_name: openalex_institutions
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| 52 |
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data_files: "openalex/institutions/*.parquet"
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| 53 |
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# SciSciNet (CC BY 4.0)
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| 54 |
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- config_name: sciscinet_core
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| 55 |
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data_files: "sciscinet/core/*.parquet"
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| 56 |
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- config_name: sciscinet_large
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| 57 |
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data_files: "sciscinet/large/*.parquet"
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| 58 |
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# Papers With Code (CC BY-SA 4.0)
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| 59 |
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- config_name: pwc_papers
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| 60 |
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data_files: "pwc/papers/*.parquet"
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| 61 |
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- config_name: pwc_paper_has_code
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| 62 |
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data_files: "pwc/paper_has_code/*.parquet"
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| 63 |
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- config_name: pwc_methods
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| 64 |
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data_files: "pwc/methods/*.parquet"
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| 65 |
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- config_name: pwc_paper_has_task
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| 66 |
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data_files: "pwc/paper_has_task/*.parquet"
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| 67 |
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- config_name: pwc_datasets
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| 68 |
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data_files: "pwc/datasets/*.parquet"
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| 69 |
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# Other sources
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| 70 |
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- config_name: retwatch
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| 71 |
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data_files: "retwatch/retraction_watch/*.parquet"
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| 72 |
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- config_name: p2p_preprint_to_paper
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| 73 |
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data_files: "p2p/preprint_to_paper/*.parquet"
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| 74 |
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# Ontologies (various licenses, see below)
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| 75 |
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- config_name: ontology_terms
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| 76 |
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data_files: "ontologies/*_terms.parquet"
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| 77 |
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- config_name: ontology_hierarchy
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| 78 |
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data_files: "ontologies/*_hierarchy.parquet"
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| 79 |
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- config_name: ontology_xrefs
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| 80 |
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data_files: "ontologies/*_xrefs.parquet"
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| 81 |
+
---
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| 82 |
+
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| 83 |
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# Science Data Lake
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| 84 |
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| 85 |
+
A unified, portable science data lake integrating **6 scholarly datasets** (~523 GB Parquet) with cross-dataset DOI normalization, **13 scientific ontologies** (1.3M terms), and a reproducible ETL pipeline.
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| 86 |
+
|
| 87 |
+
> **Note:** Two additional sources (Semantic Scholar S2AG and Reliance on Science) are supported by the pipeline but are **not redistributed here** pending license clarification. See [Not Included in This Upload](#not-included-in-this-upload) below.
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| 88 |
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| 89 |
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## What's Unique
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| 90 |
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|
| 91 |
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This dataset enables queries that are **impossible with any single source**:
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| 92 |
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|
| 93 |
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```sql
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| 94 |
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-- "Top disruptive papers with open-source code, checking for retractions"
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| 95 |
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SELECT doi, title, year,
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| 96 |
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sciscinet_disruption, -- from SciSciNet
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| 97 |
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oa_cited_by_count, -- from OpenAlex
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| 98 |
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has_pwc, -- from Papers With Code
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| 99 |
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has_retraction -- from Retraction Watch
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| 100 |
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FROM unified_papers
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| 101 |
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WHERE has_pwc AND sciscinet_disruption > 0.5
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| 102 |
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ORDER BY oa_cited_by_count DESC
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| 103 |
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LIMIT 20
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| 104 |
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```
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| 105 |
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|
| 106 |
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## Datasets Included
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| 107 |
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|
| 108 |
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| Dataset | Papers/Records | License | Key Contribution |
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| 109 |
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|---------|---------------|---------|-----------------|
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| 110 |
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| **OpenAlex** | 479M works | **CC0 1.0** (public domain) | Broadest coverage, topics, FWCI |
|
| 111 |
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| **SciSciNet** v2 | 159M papers | **CC BY 4.0** | Disruption index, atypicality, team size |
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| 112 |
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| **Papers With Code** | 513K papers | **CC BY-SA 4.0** | Method-task-dataset-code links |
|
| 113 |
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| **Retraction Watch** | 69K records | **Open** (via Crossref) | Retraction flags + reasons |
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| 114 |
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| **Preprint-to-Paper** | 146K pairs | **CC BY 4.0** | bioRxiv preprint to published paper |
|
| 115 |
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| **13 Ontologies** | 1.3M terms | Various (see below) | CSO, MeSH, GO, DOID, ChEBI, NCIT, HPO, EDAM, AGROVOC, UNESCO, STW, MSC2020, PhySH |
|
| 116 |
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| 117 |
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### Ontology Licenses
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| 118 |
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| 119 |
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| Ontology | License |
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| 120 |
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|----------|---------|
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| 121 |
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| MeSH | Public Domain (US government work) |
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| 122 |
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| GO, ChEBI, NCIT, EDAM, CSO, PhySH, STW | CC BY 4.0 |
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| 123 |
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| DOID | CC0 1.0 |
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| 124 |
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| AGROVOC | CC BY 3.0 IGO |
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| 125 |
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| UNESCO Thesaurus | CC BY-SA 3.0 IGO |
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| 126 |
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| HPO | Custom (free for research use) |
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| 127 |
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| MSC2020 | **CC BY-NC-SA 4.0** (non-commercial) |
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| 128 |
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| 129 |
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### Not Included in This Upload
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| 130 |
+
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| 131 |
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The following sources are supported by the full pipeline ([GitHub](https://github.com/J0nasW/science-datalake)) but are **not redistributed here** due to license restrictions or pending clarification:
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| 132 |
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|
| 133 |
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| Dataset | Reason | How to obtain |
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| 134 |
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|---------|--------|---------------|
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| 135 |
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| **S2AG** (Semantic Scholar, 231M papers) | License requires individual agreement with Semantic Scholar | [Semantic Scholar Datasets API](https://api.semanticscholar.org/api-docs/datasets) |
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| 136 |
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| **Reliance on Science** (548K patent-paper pairs) | CC BY-NC 4.0 — non-commercial restriction | [Zenodo record](https://zenodo.org/records/8278104) |
|
| 137 |
+
|
| 138 |
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After downloading these sources locally, run the full pipeline to integrate them.
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| 139 |
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|
| 140 |
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## Key Tables
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| 141 |
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|
| 142 |
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### `unified_papers` (293M rows)
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| 143 |
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The headline table: one row per unique DOI, joining all sources.
|
| 144 |
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|
| 145 |
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| Column | Type | Description |
|
| 146 |
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|--------|------|-------------|
|
| 147 |
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| `doi` | VARCHAR | Normalized DOI (lowercase, no prefix) |
|
| 148 |
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| `title` | VARCHAR | Best available title (OpenAlex > S2AG) |
|
| 149 |
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| `year` | BIGINT | Publication year |
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| 150 |
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| `openalex_id` | VARCHAR | OpenAlex work ID |
|
| 151 |
+
| `sciscinet_paperid` | VARCHAR | SciSciNet paper ID |
|
| 152 |
+
| `has_openalex` | BOOLEAN | Present in OpenAlex |
|
| 153 |
+
| `has_sciscinet` | BOOLEAN | Present in SciSciNet |
|
| 154 |
+
| `has_pwc` | BOOLEAN | Has code on Papers With Code |
|
| 155 |
+
| `has_retraction` | BOOLEAN | Flagged in Retraction Watch |
|
| 156 |
+
| `oa_cited_by_count` | BIGINT | OpenAlex citation count |
|
| 157 |
+
| `sciscinet_disruption` | DOUBLE | Disruption index (CD index) |
|
| 158 |
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| `sciscinet_atypicality` | DOUBLE | Atypicality score |
|
| 159 |
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| `oa_fwci` | DOUBLE | Field-Weighted Citation Impact |
|
| 160 |
+
|
| 161 |
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> **Note:** The locally-built version of `unified_papers` includes additional columns from S2AG and RoS (`s2ag_corpusid`, `s2ag_citationcount`, `has_s2ag`, `has_patent`). These columns are present in the uploaded file but will contain NULL values for users who have not integrated those sources locally.
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| 162 |
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|
| 163 |
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### `topic_ontology_map`
|
| 164 |
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Maps OpenAlex's 4,516 topics to terms in 13 scientific ontologies via embedding-based semantic similarity (BGE-large-en-v1.5, 1024-dim) + exact matching for large ontologies (MeSH, ChEBI, NCIT). 16,150 mappings covering 99.8% of topics. Columns include `similarity` (cosine, 0-1) and `match_type` (label/synonym/exact) for quality filtering.
|
| 165 |
+
|
| 166 |
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### `ontology_bridges`
|
| 167 |
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Cross-ontology links discovered via shared external IDs (UMLS, Wikidata, MESH, etc.).
|
| 168 |
+
|
| 169 |
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## Usage with DuckDB
|
| 170 |
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|
| 171 |
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```python
|
| 172 |
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import duckdb
|
| 173 |
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|
| 174 |
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# Query directly from HuggingFace
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| 175 |
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con = duckdb.connect()
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| 176 |
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con.execute("INSTALL httpfs; LOAD httpfs;")
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| 177 |
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|
| 178 |
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df = con.execute("""
|
| 179 |
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SELECT doi, title, year, sciscinet_disruption, oa_cited_by_count
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| 180 |
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FROM 'hf://datasets/J0nasW/science-datalake/xref/unified_papers/*.parquet'
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| 181 |
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WHERE sciscinet_disruption IS NOT NULL
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| 182 |
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ORDER BY sciscinet_disruption DESC
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| 183 |
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LIMIT 100
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| 184 |
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""").df()
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| 185 |
+
```
|
| 186 |
+
|
| 187 |
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## Building the Full Instance (All 8 Sources)
|
| 188 |
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|
| 189 |
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Clone the GitHub repository and run the pipeline to integrate all sources including S2AG and RoS:
|
| 190 |
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|
| 191 |
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```bash
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| 192 |
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git clone https://github.com/J0nasW/science-datalake
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| 193 |
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cd science-datalake
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| 194 |
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python scripts/datalake_cli.py download --all
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| 195 |
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python scripts/datalake_cli.py convert --all
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| 196 |
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python scripts/create_unified_db.py
|
| 197 |
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python scripts/materialize_unified_papers.py
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| 198 |
+
```
|
| 199 |
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| 200 |
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## Citation
|
| 201 |
+
|
| 202 |
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```bibtex
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| 203 |
+
@dataset{wilinski2026sciencedatalake,
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| 204 |
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title={Science Data Lake: A Unified, Portable Data Lake for Full-Lifecycle Scholarly Analysis},
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| 205 |
+
author={Wilinski, Piotr},
|
| 206 |
+
year={2026},
|
| 207 |
+
publisher={HuggingFace},
|
| 208 |
+
url={https://huggingface.co/datasets/J0nasW/science-datalake},
|
| 209 |
+
doi={10.5281/zenodo.TODO}
|
| 210 |
+
}
|
| 211 |
+
```
|
| 212 |
+
|
| 213 |
+
## License
|
| 214 |
+
|
| 215 |
+
This dataset aggregates multiple sources, each with its own license. **Users must comply with the most restrictive license applicable to the sources they use.**
|
| 216 |
+
|
| 217 |
+
| Component | License |
|
| 218 |
+
|-----------|---------|
|
| 219 |
+
| Integration code (scripts, pipeline) | MIT |
|
| 220 |
+
| OpenAlex data | CC0 1.0 (public domain) |
|
| 221 |
+
| SciSciNet v2 data | CC BY 4.0 |
|
| 222 |
+
| Papers With Code data | CC BY-SA 4.0 |
|
| 223 |
+
| Retraction Watch data | Open (via Crossref) |
|
| 224 |
+
| Preprint-to-Paper data | CC BY 4.0 |
|
| 225 |
+
| Cross-reference tables (`unified_papers`, `topic_ontology_map`) | Derived work — most restrictive source license applies |
|
| 226 |
+
| Ontologies | Various — see table above; note **MSC2020 is CC BY-NC-SA 4.0** |
|
openalex/authors_ids/authors_ids.parquet
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|
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a8daa489bca8f4f416cabada6fb20062b93a456165d8397d1b9cd3e23e8caf2
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size 4375975096
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sciscinet/core/sciscinet_sources.parquet
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:d9f3eba0f94b571c60fcefd3d6d7a079ee322734b2f234e6d4e2a9e4fb4fadbd
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size 8904295
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sciscinet/core/sciscinet_twitter_metadata.parquet
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:bef297be3eab916503e17fb309c631ffa48012a7f4fae98a0e79ffdec9acb397
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size 1343621812
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xref/coverage_stats/coverage_summary.json
ADDED
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@@ -0,0 +1,13 @@
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{
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"total_unique_dois": 293123121,
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"per_source": {
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"n_combinations": 34,
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"generated_at": "2026-02-17T13:24:29"
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}
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xref/coverage_stats/upset_data.json
ADDED
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@@ -0,0 +1,342 @@
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| 1 |
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[
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"has_openalex": false,
|
| 206 |
+
"has_sciscinet": true,
|
| 207 |
+
"has_pwc": true,
|
| 208 |
+
"has_retraction": false,
|
| 209 |
+
"has_patent": false,
|
| 210 |
+
"label": "S2AG + SciSciNet + PWC"
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"count": 164,
|
| 214 |
+
"has_s2ag": false,
|
| 215 |
+
"has_openalex": true,
|
| 216 |
+
"has_sciscinet": false,
|
| 217 |
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"has_pwc": false,
|
| 218 |
+
"has_retraction": true,
|
| 219 |
+
"has_patent": false,
|
| 220 |
+
"label": "OpenAlex + RetWatch"
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"count": 117,
|
| 224 |
+
"has_s2ag": true,
|
| 225 |
+
"has_openalex": true,
|
| 226 |
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"has_sciscinet": true,
|
| 227 |
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"has_pwc": false,
|
| 228 |
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"has_retraction": true,
|
| 229 |
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"has_patent": true,
|
| 230 |
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"label": "S2AG + OpenAlex + SciSciNet + RetWatch + Patents"
|
| 231 |
+
},
|
| 232 |
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{
|
| 233 |
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"count": 114,
|
| 234 |
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"has_s2ag": false,
|
| 235 |
+
"has_openalex": false,
|
| 236 |
+
"has_sciscinet": false,
|
| 237 |
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"has_pwc": true,
|
| 238 |
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"has_retraction": false,
|
| 239 |
+
"has_patent": false,
|
| 240 |
+
"label": "PWC"
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"count": 74,
|
| 244 |
+
"has_s2ag": false,
|
| 245 |
+
"has_openalex": false,
|
| 246 |
+
"has_sciscinet": true,
|
| 247 |
+
"has_pwc": true,
|
| 248 |
+
"has_retraction": false,
|
| 249 |
+
"has_patent": false,
|
| 250 |
+
"label": "SciSciNet + PWC"
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"count": 52,
|
| 254 |
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"has_s2ag": false,
|
| 255 |
+
"has_openalex": true,
|
| 256 |
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"has_sciscinet": false,
|
| 257 |
+
"has_pwc": true,
|
| 258 |
+
"has_retraction": false,
|
| 259 |
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"has_patent": false,
|
| 260 |
+
"label": "OpenAlex + PWC"
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"count": 13,
|
| 264 |
+
"has_s2ag": true,
|
| 265 |
+
"has_openalex": false,
|
| 266 |
+
"has_sciscinet": true,
|
| 267 |
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"has_pwc": false,
|
| 268 |
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"has_retraction": true,
|
| 269 |
+
"has_patent": false,
|
| 270 |
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"label": "S2AG + SciSciNet + RetWatch"
|
| 271 |
+
},
|
| 272 |
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{
|
| 273 |
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"count": 11,
|
| 274 |
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"has_s2ag": false,
|
| 275 |
+
"has_openalex": true,
|
| 276 |
+
"has_sciscinet": true,
|
| 277 |
+
"has_pwc": true,
|
| 278 |
+
"has_retraction": false,
|
| 279 |
+
"has_patent": true,
|
| 280 |
+
"label": "OpenAlex + SciSciNet + PWC + Patents"
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"count": 9,
|
| 284 |
+
"has_s2ag": true,
|
| 285 |
+
"has_openalex": true,
|
| 286 |
+
"has_sciscinet": true,
|
| 287 |
+
"has_pwc": true,
|
| 288 |
+
"has_retraction": true,
|
| 289 |
+
"has_patent": false,
|
| 290 |
+
"label": "S2AG + OpenAlex + SciSciNet + PWC + RetWatch"
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"count": 8,
|
| 294 |
+
"has_s2ag": false,
|
| 295 |
+
"has_openalex": false,
|
| 296 |
+
"has_sciscinet": true,
|
| 297 |
+
"has_pwc": false,
|
| 298 |
+
"has_retraction": true,
|
| 299 |
+
"has_patent": false,
|
| 300 |
+
"label": "SciSciNet + RetWatch"
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"count": 4,
|
| 304 |
+
"has_s2ag": true,
|
| 305 |
+
"has_openalex": false,
|
| 306 |
+
"has_sciscinet": false,
|
| 307 |
+
"has_pwc": false,
|
| 308 |
+
"has_retraction": true,
|
| 309 |
+
"has_patent": false,
|
| 310 |
+
"label": "S2AG + RetWatch"
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"count": 4,
|
| 314 |
+
"has_s2ag": true,
|
| 315 |
+
"has_openalex": true,
|
| 316 |
+
"has_sciscinet": false,
|
| 317 |
+
"has_pwc": true,
|
| 318 |
+
"has_retraction": false,
|
| 319 |
+
"has_patent": true,
|
| 320 |
+
"label": "S2AG + OpenAlex + PWC + Patents"
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"count": 3,
|
| 324 |
+
"has_s2ag": false,
|
| 325 |
+
"has_openalex": true,
|
| 326 |
+
"has_sciscinet": true,
|
| 327 |
+
"has_pwc": false,
|
| 328 |
+
"has_retraction": true,
|
| 329 |
+
"has_patent": true,
|
| 330 |
+
"label": "OpenAlex + SciSciNet + RetWatch + Patents"
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"count": 3,
|
| 334 |
+
"has_s2ag": false,
|
| 335 |
+
"has_openalex": true,
|
| 336 |
+
"has_sciscinet": true,
|
| 337 |
+
"has_pwc": true,
|
| 338 |
+
"has_retraction": true,
|
| 339 |
+
"has_patent": false,
|
| 340 |
+
"label": "OpenAlex + SciSciNet + PWC + RetWatch"
|
| 341 |
+
}
|
| 342 |
+
]
|
xref/coverage_stats/year_distribution.json
ADDED
|
@@ -0,0 +1,212 @@
|
|
|
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|
|
|
|
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|
|
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|
|
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|
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|
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|
|
|
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|
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|
|
|
|
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|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"year": 2025,
|
| 4 |
+
"total": 43188966,
|
| 5 |
+
"s2ag": 5898494,
|
| 6 |
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"openalex": 43174149,
|
| 7 |
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"sciscinet": 4505
|
| 8 |
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},
|
| 9 |
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{
|
| 10 |
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"year": 2024,
|
| 11 |
+
"total": 27086700,
|
| 12 |
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"s2ag": 6675837,
|
| 13 |
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|
| 14 |
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|
| 15 |
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},
|
| 16 |
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{
|
| 17 |
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"year": 2023,
|
| 18 |
+
"total": 19328045,
|
| 19 |
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"s2ag": 6174821,
|
| 20 |
+
"openalex": 19306081,
|
| 21 |
+
"sciscinet": 9072738
|
| 22 |
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},
|
| 23 |
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{
|
| 24 |
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"year": 2022,
|
| 25 |
+
"total": 14119327,
|
| 26 |
+
"s2ag": 5949023,
|
| 27 |
+
"openalex": 14093551,
|
| 28 |
+
"sciscinet": 8633488
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"year": 2021,
|
| 32 |
+
"total": 13588459,
|
| 33 |
+
"s2ag": 6911092,
|
| 34 |
+
"openalex": 13537587,
|
| 35 |
+
"sciscinet": 8032822
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"year": 2020,
|
| 39 |
+
"total": 11922253,
|
| 40 |
+
"s2ag": 7074948,
|
| 41 |
+
"openalex": 11857427,
|
| 42 |
+
"sciscinet": 7981244
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"year": 2019,
|
| 46 |
+
"total": 11719078,
|
| 47 |
+
"s2ag": 6225096,
|
| 48 |
+
"openalex": 11653883,
|
| 49 |
+
"sciscinet": 7061264
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"year": 2018,
|
| 53 |
+
"total": 9403375,
|
| 54 |
+
"s2ag": 5460468,
|
| 55 |
+
"openalex": 9333908,
|
| 56 |
+
"sciscinet": 6595943
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"year": 2017,
|
| 60 |
+
"total": 9369901,
|
| 61 |
+
"s2ag": 4894328,
|
| 62 |
+
"openalex": 9314383,
|
| 63 |
+
"sciscinet": 6218726
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"year": 2016,
|
| 67 |
+
"total": 8525021,
|
| 68 |
+
"s2ag": 4550937,
|
| 69 |
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"openalex": 8471519,
|
| 70 |
+
"sciscinet": 5717387
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"year": 2015,
|
| 74 |
+
"total": 8297423,
|
| 75 |
+
"s2ag": 4228823,
|
| 76 |
+
"openalex": 8245435,
|
| 77 |
+
"sciscinet": 5145498
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"year": 2014,
|
| 81 |
+
"total": 7299021,
|
| 82 |
+
"s2ag": 4009008,
|
| 83 |
+
"openalex": 7256630,
|
| 84 |
+
"sciscinet": 5080357
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"year": 2013,
|
| 88 |
+
"total": 5741677,
|
| 89 |
+
"s2ag": 3757446,
|
| 90 |
+
"openalex": 5698085,
|
| 91 |
+
"sciscinet": 4577973
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"year": 2012,
|
| 95 |
+
"total": 5516454,
|
| 96 |
+
"s2ag": 3530117,
|
| 97 |
+
"openalex": 5482131,
|
| 98 |
+
"sciscinet": 4155464
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"year": 2011,
|
| 102 |
+
"total": 5141876,
|
| 103 |
+
"s2ag": 3276372,
|
| 104 |
+
"openalex": 5101658,
|
| 105 |
+
"sciscinet": 3972244
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"year": 2010,
|
| 109 |
+
"total": 4481108,
|
| 110 |
+
"s2ag": 3040224,
|
| 111 |
+
"openalex": 4449546,
|
| 112 |
+
"sciscinet": 3596433
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"year": 2009,
|
| 116 |
+
"total": 4086218,
|
| 117 |
+
"s2ag": 2816439,
|
| 118 |
+
"openalex": 4057381,
|
| 119 |
+
"sciscinet": 3375091
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"year": 2008,
|
| 123 |
+
"total": 3782095,
|
| 124 |
+
"s2ag": 2597570,
|
| 125 |
+
"openalex": 3755384,
|
| 126 |
+
"sciscinet": 3152678
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"year": 2007,
|
| 130 |
+
"total": 3774748,
|
| 131 |
+
"s2ag": 2408556,
|
| 132 |
+
"openalex": 3750304,
|
| 133 |
+
"sciscinet": 2941933
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"year": 2006,
|
| 137 |
+
"total": 6789553,
|
| 138 |
+
"s2ag": 2298485,
|
| 139 |
+
"openalex": 6768473,
|
| 140 |
+
"sciscinet": 2792793
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"year": 2005,
|
| 144 |
+
"total": 3128322,
|
| 145 |
+
"s2ag": 2108625,
|
| 146 |
+
"openalex": 3110468,
|
| 147 |
+
"sciscinet": 2548285
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"year": 2004,
|
| 151 |
+
"total": 2895952,
|
| 152 |
+
"s2ag": 1911770,
|
| 153 |
+
"openalex": 2877784,
|
| 154 |
+
"sciscinet": 2351069
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"year": 2003,
|
| 158 |
+
"total": 2737547,
|
| 159 |
+
"s2ag": 1854333,
|
| 160 |
+
"openalex": 2723431,
|
| 161 |
+
"sciscinet": 2247365
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"year": 2002,
|
| 165 |
+
"total": 2599919,
|
| 166 |
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"s2ag": 1874027,
|
| 167 |
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"openalex": 2588717,
|
| 168 |
+
"sciscinet": 2248310
|
| 169 |
+
},
|
| 170 |
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{
|
| 171 |
+
"year": 2001,
|
| 172 |
+
"total": 2176568,
|
| 173 |
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"s2ag": 1487747,
|
| 174 |
+
"openalex": 2166537,
|
| 175 |
+
"sciscinet": 1844918
|
| 176 |
+
},
|
| 177 |
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{
|
| 178 |
+
"year": 2000,
|
| 179 |
+
"total": 2432498,
|
| 180 |
+
"s2ag": 1511899,
|
| 181 |
+
"openalex": 2421078,
|
| 182 |
+
"sciscinet": 1787756
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"year": 1999,
|
| 186 |
+
"total": 1885508,
|
| 187 |
+
"s2ag": 1316908,
|
| 188 |
+
"openalex": 1877261,
|
| 189 |
+
"sciscinet": 1604651
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"year": 1998,
|
| 193 |
+
"total": 1833836,
|
| 194 |
+
"s2ag": 1291229,
|
| 195 |
+
"openalex": 1826833,
|
| 196 |
+
"sciscinet": 1571888
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"year": 1997,
|
| 200 |
+
"total": 1752345,
|
| 201 |
+
"s2ag": 1244729,
|
| 202 |
+
"openalex": 1744988,
|
| 203 |
+
"sciscinet": 1509227
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"year": 1996,
|
| 207 |
+
"total": 1736118,
|
| 208 |
+
"s2ag": 1200642,
|
| 209 |
+
"openalex": 1729492,
|
| 210 |
+
"sciscinet": 1460078
|
| 211 |
+
}
|
| 212 |
+
]
|