61 to 70 of 135,356 Results
May 31, 2026 -
Mechanical Wave Transmission Measurements in Compressed AlSi10Mg Powder for a Feasibility Study of a Volumetric Metal 3D-Printer
Plain Text - 8.7 KB -
MD5: bcbf1839f819f0b348bacb9e3e5dc09a
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May 31, 2026 -
Mechanical Wave Transmission Measurements in Compressed AlSi10Mg Powder for a Feasibility Study of a Volumetric Metal 3D-Printer
ZIP Archive - 26.9 GB -
MD5: 74446905d696a29408cd7ef33127759e
Averages.zip contains averaged waveform measurements, derived result files, analysis/acquisition scripts, measurement notes, and supporting risk-assessment documentation for the compressed AlSi10Mg powder transmission experiments. |
May 29, 2026 - University of South-Eastern Norway
Barahmand, Zahir, 2026, "Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies", https://doi.org/10.18710/JM6U7B, DataverseNO, V2
This dataset was developed to systematically characterise feedstock–technology relationships across eight major biomass conversion technologies by mining a large Scopus-derived bibliographic corpus (1887–2025; partial coverage for 2025). The workflow is LLM-assisted and fully reproducible, combining automated extraction of feedstock and technology... |
Plain Text - 21.2 KB -
MD5: d44c4029e684e063091a7b56c176193e
Detailed overview of the repository structure, file contents, workflow steps, reuse guidance, and notes on source traceability. The public release excludes Scopus-derived abstracts and raw Scopus export files. |
ZIP Archive - 12.4 MB -
MD5: 1c95b307eca112047a61546f8fb2d4b4
Python scripts, configuration files, example inputs/outputs, and documentation for the LLM-assisted extraction of feedstock and technology descriptors from title and abstract fields. |
ZIP Archive - 14.6 MB -
MD5: b2b0300a1411ec244409217c1d6f0f12
Python scripts and documentation for rule-based cleaning, heuristic scoring, and validation-status assignment of the extracted feedstock and technology descriptors. |
ZIP Archive - 30.9 MB -
MD5: 7f096b9d59fcae9952608d30ecd882dc
Python scripts and documentation for targeted LLM-assisted validation of uncertain or non-accepted records after rule-based cleaning. |
ZIP Archive - 138.6 MB -
MD5: fab016b2ffd7b55a91de062f0abca390
Processed and derived datasets from the extraction, cleaning, validation, and manual-curation workflow, including bibliographic source identifiers, intermediate outputs, and the final curated feedstock–technology descriptors. Scopus-derived abstracts and raw Scopus exports are not included. |
May 28, 2026 - University of Bergen
Skare, Mats, 2026, "Clangorous Beasts Data", https://doi.org/10.18710/KPOIWF, DataverseNO, V1
Geolocational and artifactual data from the thesis "Clangorous Beasts - Unraveling the source value and symbolism of metal-detected artifacts with animal representations from AD 550–750/800 found in west and east Norway" |
May 28, 2026 -
Clangorous Beasts Data
Plain Text - 6.1 KB -
MD5: 992090f2fd605f4128689e495b58fb98
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