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

1,891 to 1,900 of 2,014 Results
feedstock_labels_final.zip
Mar 2, 2026 - Supporting Dataset for “Global evidence map of feedstock portfolios in biomass- and waste-to-X technologies”
ZIP Archive - 1.3 MB - MD5: b662b91ccaed54ce6921eacd00617a9d
ZIP archive containing the final labelled feedstock datasets for each technology corpus. Each file includes the curated label assignments used in the global evidence map. Derived from: Barahmand, Zahir, 2026, Label system, dictionaries, and audit evidence for harmonised over 133,000 feedstock items across major conversion technologies, DataverseNO,...
list_of_waste_LoW.csv
Mar 2, 2026 - Supporting Dataset for “Global evidence map of feedstock portfolios in biomass- and waste-to-X technologies”
Comma Separated Values - 63.7 KB - MD5: 3dc4f445c40ee829dda0b9bc1aec730b
CSV reference file containing the List of Waste (LoW) classification used in the hazard-mapping workflow. The file provides the coding structure and category labels used to assign and interpret LoW-based hazard classifications for relevant feedstock entries.
references_record_id.zip
Mar 2, 2026 - Supporting Dataset for “Global evidence map of feedstock portfolios in biomass- and waste-to-X technologies”
ZIP Archive - 60.9 MB - MD5: b6f0b648621260e047ab6f23d9172637
ZIP archive containing technology-specific reference-record datasets with assigned record IDs. Each file includes the following fields: record_id, article_title, year, source_title, doi, abstract, author_keywords, publisher, language, and document_type. These files support traceability of the retrieved literature used in the evidence-mapping workfl...
supplementary_tables.zip
Mar 2, 2026 - Supporting Dataset for “Global evidence map of feedstock portfolios in biomass- and waste-to-X technologies”
ZIP Archive - 386.8 KB - MD5: ddde7efbb81cc189da1487f716197bb8
ZIP archive containing Supplementary Tables 1–4 (.docx/pdf) associated with the study. These tables provide supporting structured information referenced in the manuscript and are supplied as separate Word files for repository access and review.
00_ReadMe.txt
Feb 3, 2026 - Replication Data for: More good days at home: Advancing health-promoting practices in municipal healthcare services for older recipients of homecare
Plain Text - 11.1 KB - MD5: 0dde33368a4a6e216507e50ca3d59d2c
WP1-Intervjuguide-Delstudie-I.pdf
Feb 3, 2026 - Replication Data for: More good days at home: Advancing health-promoting practices in municipal healthcare services for older recipients of homecare
Adobe PDF - 173.8 KB - MD5: 583830677ec2166cfe5e8a028d559fbe
WP1-Intervjuguide-Delstudie-II.pdf
Feb 3, 2026 - Replication Data for: More good days at home: Advancing health-promoting practices in municipal healthcare services for older recipients of homecare
Adobe PDF - 108.1 KB - MD5: 2c6922467c3ddccf268574559ef5fb35
WP2-Intervjuguide-Delstudie-I.pdf
Feb 3, 2026 - Replication Data for: More good days at home: Advancing health-promoting practices in municipal healthcare services for older recipients of homecare
Adobe PDF - 126.7 KB - MD5: 62980e98dc3529199a9132523e822717
WP2-Intervjuguide-Delstudie-II.pdf
Feb 3, 2026 - Replication Data for: More good days at home: Advancing health-promoting practices in municipal healthcare services for older recipients of homecare
Adobe PDF - 120.5 KB - MD5: 6afa1c87eb254ec0d439cc49e0afff6e
WP3-Bordsimulering.pdf
Feb 3, 2026 - Replication Data for: More good days at home: Advancing health-promoting practices in municipal healthcare services for older recipients of homecare
Adobe PDF - 208.5 KB - MD5: 2e1ba10f7b700842189810c08b147067
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.