61 to 70 of 140,301 Results
Comma Separated Values - 7.4 KB -
MD5: ec46a7dace77afaa4ad17ef4c61b665b
Element/Ca in mmol/mol for variable pH and CO32- experiments. |
Comma Separated Values - 5.6 KB -
MD5: 532cecb56ba581b4add4bb88f5eaaf8d
Element/Ca in mmol/mol for variable [Co32-] (constant pH) experiments. |
Comma Separated Values - 4.5 KB -
MD5: 84ea0ad3e438e33df477a39574c796cf
Element/Ca in mmol/mol for variable salinity experiments. |
Comma Separated Values - 132 B -
MD5: 6f16fbeedeca72885faae22026a68fbe
HCO3- and CO2 values in µmol/kg for the different experiments. |
May 31, 2026 - NTNU – Norwegian University of Science and Technology
Teigenes, Oddne Kristoffer, 2026, "Mechanical Wave Transmission Measurements in Compressed AlSi10Mg Powder for a Feasibility Study of a Volumetric Metal 3D-Printer", https://doi.org/10.18710/M5Z2ZO, DataverseNO, V1
This dataset supports the master's thesis "Feasibility Study of a Novel Volumetric Metal 3D-Printer: Researching Attenuation of Mechanical Waves in Aluminum Powder" by Oddne Kristoffer Teigenes, NTNU, 2026. The dataset contains averaged ultrasonic transmission measurements through compressed AlSi10Mg aluminum powder under vacuum and mechanical prel... |
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
|
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. |
