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Curated by ASU Library data professionals, the repository enables global discovery of research data through permanent digital identifiers (DOIs). It is powered by the open-source Dataverse application developed by Harvard University and complements the KEEP Institutional Repository to support the full range of ASU research outputs.

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Topic6.html
Nov 6, 2020 - Mary Wollstonecraft and Influence - Preprocessed Data
HTML - 19.3 KB - MD5: bb0eeee522dac84eff9f38bead033cf3
Topic6.html
Nov 6, 2020 - Mary Wollstonecraft and Influence - Preprocessed Data
HTML - 20.1 KB - MD5: 0c62aa22476df54995c64523a71fe7ca
Topic7.html
Nov 6, 2020 - Mary Wollstonecraft and Influence - Preprocessed Data
HTML - 20.1 KB - MD5: cca95bec2bca90a1e989530bcf3ee14b
Topic7.html
Nov 6, 2020 - Mary Wollstonecraft and Influence - Preprocessed Data
HTML - 19.5 KB - MD5: 5f173cc87bfd6acf3c2dd162ac79b98e
Topic8.html
Nov 6, 2020 - Mary Wollstonecraft and Influence - Preprocessed Data
HTML - 19.3 KB - MD5: 76a2f6c7592941ebbc15dd23d690cc63
Topic9.html
Nov 6, 2020 - Mary Wollstonecraft and Influence - Preprocessed Data
HTML - 19.5 KB - MD5: c372c3aa7b916e6db8505fc89cccf47e
topics-in-docs.csv
Nov 6, 2020 - Mary Wollstonecraft and Influence - Preprocessed Data
Comma Separated Values - 29.2 KB - MD5: 0bd7d227f83054d891a72104dced55da
topics-in-docs.csv
Nov 6, 2020 - Mary Wollstonecraft and Influence - Preprocessed Data
Comma Separated Values - 33.1 KB - MD5: 62c08515f652facb1b82e51cc1611cea
topics-in-docs.csv
Nov 6, 2020 - Mary Wollstonecraft and Influence - Preprocessed Data
Comma Separated Values - 21.9 KB - MD5: 93d1b30791b35998c77b71ff77c4839c
topics-metadata.csv
Nov 6, 2020 - Mary Wollstonecraft and Influence - Preprocessed Data
Tabular Data - 25.9 KB - 12 Variables, 106 Observations - UNF:6:Gcs94dgmOQiJoKUoaUqnzg==
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