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Syngas-to-Chemicals Pathway Portfolio Dataset: Product Classification, Conversion Depth Encoding, and ESI–PAE Index Scores for 11 Routes (N = 2,756)
No full textThis dataset supports the analysis reported in Barahmand and Eikeland (2025) and provides the complete data pipeline, index scores, and supplementary tools underlying the strategic assessment of syngas-to-chemicals conversion pathways. The dataset covers 2,756 classified chemical products across 11 industrial routes derived from syngas, spanning five main pathways (Methanol, Ammonia, Fischer–Tropsch with and without BTX, and Syngas Fermentation) and six Methanol sub-routes (MTO, MTP, MTA, MTAA, MTF, MTX).
Products are classified using the Enhanced Value Pyramid of Bio-Products (EVPBP) taxonomy, a three-level hierarchical system (L1 > L2 > L3) with assigned value levels (VL1–VL5). Classification was performed through LLM-assisted labelling using the Claude API (Anthropic), followed by expert curation of flagged entries. The dataset includes the full classification pipeline from raw product hierarchy extraction through curated output, including confidence scores, review flags, and curation logs.
Two composite indices are computed and reported for all 11 routes: the EcoStrategic Index (ESI), which assesses portfolio breadth and value composition, and the Path-Aware Efficiency index (PAE), which captures conversion depth and step efficiency. Both indices are reported under four weighting scenarios (S1–S4) with normalized sub-index profiles. A convergence analysis comparing ESI and PAE rankings including Spearman rank correlation, rank gap tables, and a quadrant scatter plot, is also provided.
All interactive tools (calculators, charts, heatmaps) run offline as standalone HTML files and require no installation. Supplementary reference files include the full EVPBP taxonomy with change log, the classification Python script with documentation, and a syngas conditioning reference table covering impurity profiles and cleaning methods
Replication data for: Real-Time Optimization and Estimation for CO2 Purification Process
No full textThe dataset represents dynamic simulation and estimation data for a CO2 scrubbing process in a bio‑CO2 purification plant, used to design and test a real‑time optimization and Kalman filter–based control framework for solvent flow.
Purpose:
To estimate unmeasured mass flows (CO2 inlet gas flow and rich solvent flow) in a CO2 scrubber using first‑ and second‑order Kalman filters.
To compute optimal lean solvent flow setpoints that minimize solvent usage while maintaining food‑grade CO2 purity and stable operation.
To quantify potential performance and economic gains of an RTO strategy compared to conventional LG‑ratio control.
Nature:
Synthetic/virtual dataset generated from a detailed dynamic process model of a CO2 purification plant implemented in K‑Spice, with Kalman filters and optimizers implemented in MATLAB and coupled via OPC.
Time‑series data capturing process variables (flows, temperatures, pressures, compositions), estimated states, and controller/optimizer setpoints under ramps, load changes, and disturbances.
Contains noisy measurements reflecting realistic sensor variance and process noise, configured via covariance matrices and transmitter noise settings.
Scope:
Focused on a single-unit operation (CO2 scrubber) within a larger biogas upgrading and CO2 purification train, with gas composition >99.6% CO2 at the scrubber inlet.
Covers operation from turndown to full capacity, including capacity ramps, disturbance tests (inlet temperature, pump discharge pressure, condenser pressure), and comparison of baseline LG‑ratio control vs fmincon and genetic algorithm optimization.
Supports evaluation of key performance indicators: CO2 purity (>99.8% at outlet), lean solvent reduction (~24–25% at design conditions), production increase (~6.3%), and implied annual revenue impact for a 55,000 t/y bio‑CO2 plant.
Replication Data for: Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study
No full textThe purpose of the dataset is to enable the replication of results as reported in the article:
Bonsaksen, T., Price, D., Lamph, G., Kabelenga, I., & Geirdal, A. Ø. (2025). Sleep problems were unrelated to social media use in the late COVID-19 pandemic phase: A cross-national study. PLOS ONE 20(1): e0318507. https://doi.org/10.1371/journal.pone.0318507.
The data on sleep problems, psychosocial stress and social media use is uploaded as an SPSS file. Additional information to facilitate using the data can be found in the ReadMe file.The article aimed to explore the relationship between social media use and sleep problems in a cross-national sample two years after the pandemic began. It involved 1405 adults from four countries who completed an online survey. Statistical analyses included independent samples t-tests, Chi-Squared tests, and logistic regression. Among the 858 participants (61.1%) who reported recent sleep problems, 41.1% (353 individuals) attributed these issues to their COVID-19 experiences. Adjusting for age, gender, employment, and psychological distress showed that more hours of social media use were not significantly linked to sleep problems. However, being older, female, employed, and experiencing higher psychological distress were associated with more sleep issues.</p
ScatteringSplatting Dataset: Synthetic dataset for 3D reconstruction in scattering medium
No full textWe create a synthetic dataset using Unreal Engine 5 to evaluate 3D reconstruction under scattering media like fog and underwater conditions. It includes two scenes—an outdoor foggy environment and a realistic underwater setting—with images captured from a hemispherical camera layout. Each scene provides separate training and evaluation views, and COLMAP is used to generate sparse reconstructions and ground-truth poses for benchmarking
Results of zooarchaeological analyses of bone from select archaeological burial assemblages in the collections of the Museum of Archaeology, University of Stavanger
No full textThe following report details the results of zooarchaeological analyses of animal bone from archaeological burial contexts in southwestern Norway. These analyses were undertaken in support of doctoral research undertaken by Arild Klokkervoll, and are meant to provide an empirical basis for his investigation of the intentional deposition of animal remains in prehistoric human burials. As such, the report limits itself to the presentation of raw data. Where possible, remains were identified to species/element, and any evidence regarding age-at-death, butchery or burning noted. Species/element identification was undertaken using both physical and digital reference collections, as well as standard published sources (Cohen and Serjeantson 1996; Hillson 2009; Schmid 1972). Ageing evidence follows Silver (1969) and Higham (1967). Site selection was performed by Klokkervoll.
References:
Cohen, A. and Serjeanton, D. 1996. A manual for the identification of bird bones from archaeological sites, Revised edn. London, Archetype Publications.
Higham, C.F.W. 1967. Stock rearing as a cultural factor in prehistoric Europe. Proceedings of the Prehistoric Society, 33, 84-106.
Hillson, S. 2009. Mammal bones and teeth. UCL Institute of Archaeology Publications. London: Routledge.
Schmid, E. 1972. Atlas of Animal Bones. London: Elsevier.
Silver, I.A. 1969. The ageing of domestic animals, In D. Brothwell and E. Higgs (eds), Science in archaeology, 283-302. London, Thames and Hudson
Replication data for: Cold Seeps and Coral Reefs in Northern Norway: carbon cycling in marine ecosystems with coexisting features
No full textThis dataset contains water column measurements, dissolved organic matter compositions, hydrographical profiles and 16S rRNA data collected from the Lofoten-Vesteralen seep site at Northern Norway. Data are presented along with the R codes for the replication of analyses, and figures that were added in our submitted paper.
We recommend using R (v4.3.1) and R Studio (2023.06.1) which can access all codes and data. Running codes in the given order will create corresponding data tables and all the figures that were used in the article.Cold seeps and cold-water corals (CWCs) coexist on Northern Norway’s continental shelf at the Hola trough between Lofoten and Vesterålen. Here, cold seeps release methane from the seabed, yet none reaches the sea-surafce. Instead, the methane dissolves and disperses in the ocean where it is ultimately consumed by methane-oxidizing microorganisms. These microorganisms metabolize methane and release carbon dioxide and dissolved organic matter (DOM), which impact the biogeochemical habitat of CWCs in close vicinity of cold seeps. We investigated the biogeochemistry of carbon, carbon isotopes, nutrients, dissolved organic matter compositions, and microbial diversity in the water column. Our results indicated that dissolved inorganic carbon concentrations were 29% higher near cold seeps with modified carbon's isotopic compositions. The hydrophysical parameters and surface-to-bottom control of sinking particles mainly govern water column productivity and nutrient cycle. DOM compositions implied that the seep-associated microbiomes modify DOM's chemical diversity and isotopic composition at CWCs and the entire water column near cold seeps.
We suggest cold seeps and CWCs coexist in Northern Norway's continental shelves; however, enhanced water temperatures and consequent increase in methane release at cold seeps may mitigate the ecological role and functioning of CWC reefs in the future
Replication Data for: Intensification strategies in English-Spanish bilingual speech: Examining lexical and morphological markers in Miami bilinguals’ discourse
No full textDataset abstract
This dataset contains the three data files that the related publication is based on. In total, they contain 3000+ tokens of intensifying constructions. These constructions were extracted from the Miami Corpus, the Santa Barbara Corpus (specifically a subsample of the corpus containing all conversations involving non-Hispanic speakers from southern U.S. states) and the Havana subcorpus of Ameresco. They are coded for extralinguistic variables relating to the speaker and hearer and intralinguistic variables relating to the linguistic properties of both the base and the intensifier of the intensifying construction.Article abstract
This paper investigates the speech variety of the English-Spanish community of Miami, which features a high degree of English-Spanish bilingualism. Specifically, it explores intensification, a site of analytic-synthetic conflict between English and Spanish grammars. English predominantly uses lexical-analytic strategies (e.g. very beautiful, a big house) for intensification, whereas Spanish employs more morphological-synthetic markers (e.g. guapísimo ‘very beautiful’, un casón ‘a big house’). Concretely, the current study aims to investigate whether Miami bilinguals have preferences in terms of the language or strategy of choice to express intensification and whether these preferences are influenced by intralinguistic (e.g. semantic-pragmatic function of the intensifier) or extralinguistic factors (e.g. speakers’ proficiency in, acquisition of and attitudes toward both languages). To this end, an empirical study is conducted on three corpora, one bilingual and two monolingual ones. In this study, a wide variety of both analytic and synthetic intensifiers is found. The qualitative and quantitative findings reveal that Miami bilinguals use more English than Spanish intensifiers and favor analytic intensifiers over synthetic ones. However, among the Spanish intensifiers, the proportion of synthetic forms is significantly higher than among the English intensifiers.</p
Replication Data for: Unpacking drivers of online censorship endorsement: Psychological and demographic factors
No full textThis is the replication data for manuscript titled "Unpacking drivers of online censorship endorsement: Psychological and demographic factors" submittted to review. The abstract of the manuscript is as follows.
Abstract:
This study explores the complex dynamics of online censorship endorsements within a national context. We examined the impact of some of the influential psychological and demographic factors contributing to online censorship endorsement of Iranian Telegram users. Through the analysis of 517 responses to an online questionnaire, we investigated the influence of variables such as age, education level, gender, the use of state-controlled media, political interests, personal trust, religiosity, perceived similarity, and motivated resistance to censorship on individuals' attitudes toward censorship. Our findings reveal that education level, state-controlled media usage, religiosity, perceived similarity, and motivated resistance to censorship significantly shape censorship endorsements in the Iranian Telegram users. In the discussion section, we highlighted the implications of these findings and offered avenues for further research.
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Replication Data for: Syntax from and for discourse II: More on complex sentences as meso-constructions
No full textDataset abstract: The corpus files employed are a subset of 812 files containing spoken language from the British National Corpus (World edition, Oct. 2000) capturing British English in the late 20th century. For a description of the corpus, see http://www.natcorp.ox.ac.uk/archive/worldURG/index.xml. A total of 740 files were chosen because their meta data marked them as belonging to one of the following genres: broadcast discussion; classroom; consultation; conversation; demonstration; interview; interview or oral history; meeting; parliament; public debate; tutorial; spoken unclassified. To these, we added 72 files with the genre descriptions: courtroom; speech unscripted; sports live. From these files with spoken British English, all occurrences of adverbial clauses exhibiting one of the four subordinating conjunctions ‘before’, ‘after’, ‘once’, and ‘until’ were extracted. For the final analysis, 8 samples of equal size (together comprising 560 tokens) were created from this output by narrowing down the corpus output to sentence configurations with adverbial clauses with these conjunctions in either initial or final position, by retaining only complex sentence configurations showing both the adverbial clause and a matrix, and by finally selecting only 1 token per file following a randomizer. The size of each of the subsets (70 tokens) was dictated by the frequency of the most infrequent configuration (initial until-clauses). Article abstract: This paper presents a direct continuation of preceding corpus-linguistic research on complex sentence constructions with temporal adverbial clauses in a cognitive and usage-based framework (Diessel 2008; Hampe 2015). Working towards a more systematic construction-based account of complex sentences with before-, after-, until- and once-clauses in spontaneously spoken English, Hampe (2015) hypothesised that the morpho-syntactic realisations of configurations with initial adverbial clauses systematically diverge from those of configurations with final ones as a reflection of the specific functionality of each and that usage properties that are found across instantiations with a coherent functional load are retained in the schematisations creating constructions. This paper employs a multinomial regression in order to test to which extent each of eight closely related complex-sentence constructions with either initial or final before-, after-, until- and once-clauses can be predicted from the realisation of a few key morpho-syntactic properties of the respective adverbial and matrix clauses involved. The results support an analysis of complex-sentence constructions as meso-constructions that are not only specific about the subordinator and the positioning of the adverbial clause, but also retain “traces” of characteristic usage properties
Supporting Data for: Footprint cohesion and prevalence of environmental impact categories in blue mussel aquaculture life cycle assessments
No full textThe dataset is used as a foundation for the scientific article Footprint cohesion and prevalence of environmental impact categories in blue mussel aquaculture life cycle assessments. Conducting a comprehensive assessment of environmental footprint is essential for defining any foods environmental impact. However, concentrating on too few environmental metrics may inadvertently lead to burden shifting and involuntary create greater harm. This dataset is a collection of all the existing literature related to the environmental footprint and Life Cycle Assessments of farmed blue mussel to determine its environmental footprint. This dataset is connected to the interdisciplinary research project SECURE (Novel Marine Resources for Food Security and Food Safety) which investigate the potential of low-trophic marine species. The overall goal of the project is to develop knowledge that enables sustainable food security. More information is available through https://en.uit.no/project/secureHighlights of the study
• Carbon-, eutrophication- and acidification emissions was most commonly assessed
• Discrepancies in evaluation of bioremediation and carbon sequestration
• Several impact categories are sparsely used and unevenly included across studies
• Most footprints were higher than previously assumed
• Dominating impacting inputs varied from electricity and diesel to capital goodsAbstract
Aquaculture is promoted as a solution for strengthening food security. Non-fed organisms like blue mussels have gained interest as feed is a frequent hotspot in aquaculture. In this literature review, all published studies on environmental footprint evaluations with life cycle assessments (LCA) on blue mussel aquaculture, was assessed. Through harmonisation, the studies were enabled numerical comparison of the environmental footprints. It was found that blue mussel aquaculture LCA most frequently study some impact categories, resulting in an average global warming potential of 263 ± 179 (range 9.52 - 627) kg CO2 eq.; eutrophication potential of 0.13 ± 0.33 (range -0.89 – 0.44) kg PO4 eq.; and acidification potential of 2.072 ± 1.641 (range 0.71 – 6.5) kg SO2 eq. per ton whole mussel. Consequently, significant gaps exist in several other impact categories, with some impact estimates varying by factor of thousand between the highest and lowest. Some aspects were found to deviate between the studies like how to handle carbon sequestration in the shell and bioremediation of nitrogen and phosphorous. The most analysed production method was variations of longlines; the most used life cycle impact assessment method was CML; and the most evaluated species was M. galloprovincialis. Many footprints were higher than previously assumed, but is still lower than many alternative food products. Future research should focus on establishing category rules or sector-wide agreements to address specific challenges, such as remediation of nutrients and carbon. Additionally, expanding the range of impact categories evaluated will help distinguish differences across case studies.</p