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Supplementary material for the article "ChatGPT in Computer Science Education: A Case Study on a Database Administration Course"
This dataset contains the data related to the article "ChatGPT in Computer Science Education: A Case Study on a Database Administration Course", which is in process of publication. This dataset contains data of 40 computer science students. The file contains the grades of the students and the results of questionnaire. All data was anonymized so that the identity of the participants cannot be ascertained.
Data.xlsx (Excel
Nivel de vida biológico y diversidad socioeconómica en la España central, 1837-1936
Se analizan las diferencias en la estatura media, el perímetro torácico y el índice de masa corporal atendiendo a los distintos contextos geográficos y socioeconómicos existentes en la España central y su evolución entre 1837 y 1936
Replication data for Successful entrepreneurship, higher education and society
This dataset corresponds to the paper
Sevilla-Bernardo, J., Herrador-Alcaide, T. C., & Sanchez-Robles, B. (2024). Successful entrepreneurship, higher education and society: from business practice to academia. Humanities and Social Sciences Communications, 11(1), 1-20.
The paper carries out a text mining analysis on two types of documents: first, a set of syllabi of courses on entrepreneurship offered by a sample of Spanish Universities; second, a collection of recent published papers on entrepreneurship education
Data of publication "Development and experimental validation of a real-time analytical model for different intelligent tyre concepts"
Two excell files are provided:
* Microstrain signals long_mov_M2.xlsx: The complete and raw data set with the experimental measurements performed on the tire test bench for different low speeds (details included in figures) and vertical loads. Slip angle of 0 degrees.
* Microstrain signals long_mov_M10.xlsx: The complete and raw data set with the experimental measurements performed on the tire test bench for different high speeds (details included in figures) and vertical loads. Slip angle of 0 degrees
Production of high value-added phenolic compunds through lignin catalytic pyrolysis over ion-exchanged hierarchical ZSM-5 and BETA zeolites
Synthesized H-ZSM-5 and H-Beta zeolites with hierarchical porosity (h-H-ZSM-5 and h-H-Beta) have been ion-exchanged with alkali (Na+ and K+) and alkaline-earth (Mg2+) metals and have been evaluated as catalysts to produce high value-added products through catalytic pyrolysis of lignin.
In comparison with the thermal test, hierarchical zeolites in acid form are effective catalysts for lignin pyrolysis, favouring the production of valuable light compounds although reducing bio-oil* yield and increasing gas and coke formation. In this way, h-H-ZSM-5 zeolite promotes the formation of oxygenated aromatics, being guaiacols and syringols the major products. Alkali-exchanged variants of this zeolite enhance demethylation reactions improving the selectivity towards 2-methoxy-phenol and syringol, by modifying acid site properties. On the other hand, h-H-Beta zeolite, with larger pore size and stronger acidity, leads to higher concentration of oxygenated aromatics for both parent and ion-exchanged catalysts. Specifically, h-KH-Beta promotes the production of 2-methoxy-phenol and syringol. Besides, h-MgH-Beta stands out for its greater selectivity towards phenol and alkylphenols, such as dimethylphenol. Overall, the combination of accessibility, provided by the hierarchical porosity, with the different nature and strength of the acid sites, induced by the ion-exchange with alkali and alkaline-earth metals, allows tailoring the lignin catalytic pyrolysis process to selectively produce high value-added compounds
Automatic discourse markers extractor
This work is framed in the Spanish national project CLARA-FINT. The aim of this task within the project was to create an automatic discourse markers extractor for Spanish. In order to do so, the first step was to apply linguistic annotation on texts containing said markers. The next step involved the use of these annotations to fine-tune a model for the extraction of discourse markers task. This publication contains the fine-tuned model, i.e., the automatic extractor.
It is a roberta-bne model that was fine-tuned for the discourse markers extraction task. Texts annotated by linguists were used for fine-tuning as training data. Said texts contained discourse markers that were highlighted within their context.</p
Leishmania donovani (strain HU3) sequencing reads generated from total RNA by Oxford Nanopore technology
This project was aimed to sequence total RNA from Leishmania donovani promastigotes using the Oxford Nanopore Technology (ONT) methodology.
This dataset consists of two Fastq files, generated by MinION Mk1C (ONT) MC-114562 device. Basecalling was performed with MinKNOW (ONT) software model version rma002_70bps_hac@v3, with firmware MinION FPGA 2.4.3, ver. 23.07.12. These files are labelled:
Ld_RNA_ONT_28Ene25_full.fastq, this file contains 856,604 reads having an average q-score of 7 or higher
Ld_RNA_ONT_28Ene25_FAIL_full.fastq, this file contains 15,466 reads that did not pass the filter
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Aldol condensation of furfural and methyl isobutyl ketone over Zr-MOF-808/silica hybrid catalysts - Dataset
Mesoporous silica-supported Zr-MOF-808 catalysts have been synthesised and tested in the aldol condensation of (biomass-derived) furfural and methyl isobutyl ketone to bio-jet fuel precursors. Growth of Zr-MOF-808 nanocrystals over silica scaffolds results in well-dispersed Zr species which confer strong Lewis acidity as determined by FTIR of chemisorbed pyridine. Hybrid Zr-MOF-808/silica materials exhibit higher condensation activity than the unsupported crystalline Zr-MOF-808 (which is also prone to rapid deactivation). Textural properties of the silica support strongly influence the catalytic performance, with a high surface area and sufficiently large mesopore desirable. In the screening, the optimum Zr-MOF-808/MCM-41 catalyst delivered 68 % furfural conversion and 90 % selectivity to the C11 aldol adduct, 1-(furan-2-yl)-5-methylhex-1-en-3-one, at 130 ◦C and a furfural:Zr mass ratio of 150:1. Although more stable than the pure Zr-MOF-808, the Zr-MOF-808/MCM-41 also suffered significant deactivation over successive condensation reactions due to strongly adsorbed organic residues, however this was largely ameliorated by decreasing the furfural:Zr ratio to 75:1, which also led to an outstanding catalytic performance (100 % furfural conversion and adduct selectivity), likely because of the suppression of furfural polymerization
Mobile Mapping System Accuracy
The proyect SIMGEOSEV (Driving Simulators and Geospatial Technologies for Traffic Safety Studies) studies the relationships between driver behaviour and road design variables using a driving simulator.
Data available are:
1- GPS Differential Correction Strategy
2- Speed
3- Lane
5- Discrepancies
6- Planimetric Error.
The data were acquired using a Mobile Mapping System (MMS), which enabled the capture of highly precise geometric and positional information of the road network. Data collection was conducted in both directions along the M-611 road at speeds of 40 and 60 km/h, ensuring comprehensive coverage of the study section. To guarantee accurate georeferencing, three methods were applied: Z60, based on a local GNSS differential correction; VRS, employing an RTK system with a virtual reference station provided by the Spanish National Geographic Institute (IGN); and SINGLE, utilizing RTK-mode data from the nearest permanent GNSS station managed by the IGN.</p
Boosting the activity of UiO-66(Zr) by defect engineering: efficient aldol condensation of furfural and MIBK for the production of bio jet-fuel precursors - Dataset
The production of jet-fuel precursors from furfural via aldol-condensation with methyl-isobutyl ketone (MIBK) over defect-engineered UiO-66(Zr) catalysts is presented. The catalysts are prepared using formic acid (FA), trifluoroacetic acid (TFA) and HCl as synthesis modulators, leading to the incorporation of defects on the microcrystalline structure of the metalorganic framework (MOF) material, which dramatically boosts the catalytic performance. An extensive characterization of the modified catalysts by means of X-ray diffraction (XRD), argon adsorption isotherm, thermogravimetry (TGA), transmission electron microscopy, and FTIR spectroscopy of adsorbed acetonitrile, confirmed the incorporation of missing-linker and missing-node defects within the MOF structure, enabling the explanation of the enhancement in the catalytic process. The analysis of the reaction kinetics evidences that, working under moderate temperature conditions, conversion of furfural and selectivity to the desired adduct (FuMe) close to 100% can be achieved, avoiding the formation of degradation and bulkier compounds. Finally, despite the generation of defects within the UiO-66(Zr) structure, the resultant catalyst displays good reusability in low furfural concentration mediums