Metrics
2,243,361 Downloads
Contact Share
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

41 to 50 of 140,701 Results
octosyllables-an.csv
Jul 31, 2026 - Replication Data for: La Disparition de l'accent de mot. Chapitre 3: L'accent dans le vers, 1000-1500
Comma Separated Values - 13.8 MB - MD5: 6ca8e36ee83a06d7c9fcc87048551edf
Data: octosyllables (dolnik model)
octosyllables-pv-an.csv
Jul 31, 2026 - Replication Data for: La Disparition de l'accent de mot. Chapitre 3: L'accent dans le vers, 1000-1500
Comma Separated Values - 990.1 KB - MD5: 9b30d1f87d6fbbc980936de1442ea287
Data: pseudo-verse octosyllables (dolnik model)
octosyllables-pv.csv
Jul 31, 2026 - Replication Data for: La Disparition de l'accent de mot. Chapitre 3: L'accent dans le vers, 1000-1500
Comma Separated Values - 2.3 MB - MD5: 840340a280c39cf2842fe93f8371b222
Data: pseudo-verse octosyllables
octosyllables.csv
Jul 31, 2026 - Replication Data for: La Disparition de l'accent de mot. Chapitre 3: L'accent dans le vers, 1000-1500
Comma Separated Values - 28.8 MB - MD5: 09f5243089c22298036e4aa737d31a0f
Data: octosyllables
six-pv.csv
Jul 31, 2026 - Replication Data for: La Disparition de l'accent de mot. Chapitre 3: L'accent dans le vers, 1000-1500
Comma Separated Values - 1.8 MB - MD5: 00ef500bd2db3213fab76de5c324a954
Data: pseudo-verse six-syllable hemistichs
Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison
Jul 29, 2026 - University of South-Eastern Norway
Barahmand, Zahir, 2026, "Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison", https://doi.org/10.18710/2NPL8C, DataverseNO, V2
This dataset supports the manuscript “Feedstock Circularity Interest: A diagnostic lens for biomass- and waste-to-X technology comparison.” The study develops a diagnostic feedstock circularity-interest lens for interpreting circularity claims in biomass- and waste-to-X technologies. The lens classifies reported feedstocks into five tiers according...
00_ReadMe.txt
Jul 29, 2026 - Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison
Plain Text - 7.3 KB - MD5: d55210f7aacbb2edd98d5834c551fc13
Curated data and code for experimental and scale-explicit gasification studies from laboratory to commercial scale
Jul 29, 2026 - University of South-Eastern Norway
Barahmand Zahir, 2025, "Curated data and code for experimental and scale-explicit gasification studies from laboratory to commercial scale", https://doi.org/10.23642/USN.30702092, DataverseNO, V2
DATASET MIGRATED FROM FIGSHARE: This dataset provides a validated, literature-derived resource for mapping experimental and scale-explicit thermochemical gasification research from laboratory to commercial scale. A total of 1,863 unique records entered the metadata extraction and validation workflow. During post-validation scope checking, two recor...
00_ReadMe file.txt
Jul 29, 2026 - Curated data and code for experimental and scale-explicit gasification studies from laboratory to commercial scale
Plain Text - 29.2 KB - MD5: beac17ba61cebb2609e0630e89d267dc
Repository documentation describing the dataset structure, methodology, files, processing workflow and reuse instructions.
Codes_Automated_data_extraction_llm.zip
Jul 29, 2026 - Curated data and code for experimental and scale-explicit gasification studies from laboratory to commercial scale
ZIP Archive - 610.4 KB - MD5: 32add6b5282e5cb4ef278cfc5ae357c4
Python scripts, example files and user manuals for GPT-4o-mini-assisted extraction of gasification metadata from article titles and abstracts.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.