OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts
Paper • 2205.01833 • Published
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La formación de profesionales de la educación en Cuba se caracteriza por ser un proceso dinámico, integrador y altruista, que involucra los conocimientos y los sentimientos en función de las crecientes exigencias que en el plano formativo precisa el docente para un desempeño eficiente de sus tareas y funciones. En el c... | {
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Mojtaba Hoseini-Ghahfarokhi,1,2 Soroush Mirkiani,3 Naeimeh Mozaffari,4 Mohamad Amin Abdolahi Sadatlu,5 Amir Ghasemi,6,7 Somayeh Abbaspour,6 Mohsen Akbarian,8 Fatemeh Farjadain,8 Mahdi Karimi9 1Nano Drug Delivery Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran; 2Radiology and Nuclear Medicin... | {
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"license": "cc-by",
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"domain": {
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},
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"id": "https://openalex.org/fields/25"
},
"id": "https://openalex.org/T12038",
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The development of sustainable and effective methods for extracting lignin is crucial for achieving the advantages and promoting the shift towards a more sustainable and circular bioeconomy. This study addresses the use of environmentally friendly processes, including organosolv technique, supercritical fluid (SCF), no... | {
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"license": "cc-by-nc",
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} | false | https://openalex.org/W4399615766 | {
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},
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Digital biomarkers, including wearable devices, smartphones and other digital technologies, have the potential to revolutionize the diagnosis and management of movement disorders such as Parkinson's and Huntington's disease. In addition, digital biomarkers can be used to monitor the effectiveness of treatment in real-t... | {
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} | 4 | 2023-06-17T00:00:00 | Digital biomarkers in movement disorders | https://doi.org/10.1016/bs.irmvd.2023.05.004 | 11.54878 | true | {
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} | false | https://openalex.org/W4380904360 | {
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},
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The article is an attempt to show how young people understand the content of Bogurodzica, which fragments of the hymn cause the most problems for contemporary audiences and how large a group of respondents it applies to. The study was conducted on a group of more than one hundred second-year students of Polish philolog... | {
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},
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},
"id": "https://openalex.org/T12180",
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} | 2024-06-13T00:00:00 | 2,024 | 0 | Epitaph of Artemas, 2nd/3rd cent. A.D. | dataset | 2025-11-06T03:46:38.306000 |
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} | 0 | false | false | true | null | 1 | {
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"native_id": "oai:persee:article/... | {
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},
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"id": "https://openalex.org/fields/36"
},
"id": "https://openalex.org/T14186",
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},
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End of preview. Expand in Data Studio
OpenAlex Works — flat Parquet with plain-text abstracts
A compact, analytics-friendly version of the OpenAlex works entity: 476,951,866 works in 1,936 Parquet files (~212 GB, zstd), versus ~744 GB for the official Parquet snapshot.
It keeps the scalar and small-struct fields used for filtering and aggregation, drops the heavy nested lists, and replaces the inverted-index abstract with the abstract as plain text.
Source
- OpenAlex snapshot,
worksentity, records withupdated_datefrom 2016-06-24 to 2026-01-14. - Converted with parquet-rs; files are named
part_<hash>.parquetand are not sorted by any column.
Transformation
Compared to the official schema (51 columns), this dataset has 34 columns:
- Added
abstract(string): the abstract rebuilt fromabstract_inverted_indexby placing each word at its positions. The text is kept as delivered by the sources, so it may contain markup such as<jats:p>.has_abstract(bool)
- Dropped (nested lists or rarely needed for tabular analytics):
abstract_inverted_index,authorships,awards,concepts,corresponding_author_ids,corresponding_institution_ids,counts_by_year,funders,indexed_in,institutions,keywords,locations,mesh,referenced_works,related_works,study_designs,sustainable_development_goals,topics,volume - Kept unchanged: all other columns, including
id,doi,ids,title,display_name,type,language,publication_date,publication_year,created_date,updated_date,cited_by_count,fwci,citation_normalized_percentile,cited_by_percentile_year,referenced_works_count,authors_count,countries_distinct_count,institutions_distinct_count,locations_count,primary_location,best_oa_location,open_access,primary_topic,biblio,apc_list,apc_paid,has_content,has_fulltext,is_paratext,is_retracted,is_xpac.
For the dropped fields, use the official snapshot: https://docs.openalex.org/download-all-data/openalex-snapshot.
Usage
import duckdb
duckdb.sql("""
SELECT publication_year, count(*) AS works, avg(cited_by_count) AS avg_citations
FROM 'hf://datasets/hilbium/openalex-works/parquet/*.parquet'
GROUP BY 1 ORDER BY 1
""").show()
from datasets import load_dataset
ds = load_dataset("hilbium/openalex-works", split="train", streaming=True)
License and attribution
OpenAlex data is released under CC0 1.0; so is this derived dataset. If you use it, please cite OpenAlex:
Priem, J., Piwowar, H., & Orr, R. (2022). OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts. arXiv:2205.01833.
Maintained by Hilbium, which uses it for query benchmarks. This is not an official OpenAlex release.
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