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CO₂-to-X conversion technologies (2020–2025): literature-derived dataset and validation code
DATASET MIGRATED FROM FIGSHARE: This dataset is a literature-derived compilation of CO₂-to-X conversion technologies indexed in the Web of Science Core Collection for the period 2020–2025. It contains structured bibliographic metadata and thematic descriptors for approximately 4,421 peer-reviewed journal and review articles that report the conversion of CO₂ into fuels, chemicals, and materials.For each record, the dataset includes core bibliographic information (title, journal, publisher, year, DOI) and manually curated thematic variables describing the main reaction type or process mechanism, primary and secondary products, and catalyst characteristics, where applicable. Additional fields identify review articles and record-level relevance flags.The dataset is provided as Excel spreadsheets, accompanied by Python scripts used for AI-assisted validation of extracted products and catalyst information. It is designed to support bibliometric analyses, technology mapping, and decision-space exploration of CO₂ conversion pathways, and to facilitate integration with techno-economic assessment (TEA), life cycle assessment (LCA), and other decision-support frameworks.</p
Replication Data for: Potential for flexible lactate shuttling between astrocytes and neurons to mitigate against diving-induced hypoxia
The lack of oxygen, i.e. hypoxia, is a challenging condition for several species. The mammalian brain is particularly sensitive to hypoxia as neurons, the major cerebral cell type, are highly dependent on mitochondrial aerobic metabolism to produce energy and perform their functions. Neurons can preserve their aerobic metabolism by being metabolically coupled with the astrocytes. These are the major type of glia cell in the brain and are anaerobic cells, meaning that they do not need oxygen to produce energy. The end product of the anaerobic metabolism is lactate which, according to the astrocyte-neuron lactate shuttle (ANLS) hypothesis, it is transported to the neurons where it is used as fuel for aerobic metabolism. Recent evidence has shown that this mechanism might not be common to all mammalian brains, particularly for some hypoxia-tolerant species like pinnipeds. Studies on the deep-diving hooded seal (Cystophora cristata) suggest that the shuttling of lactate between cell types in their brain might be reversed, implying a lower dependency on oxygen by neurons (reverse- ANLS).
In this dataset we report results from mitochondrial oxygen consumption measurements, quantification of mitochondrial density and size and distribution of the lactate transporter (monocarboxylate transporter 4 – MCT4) in both astrocytes and neurons in the hooded seal brain
Replication Data for: Que dalle! The evolution of a French colloquial negation word
Dataset abstract:
The dataset includes an annotated corpus sample of N = 208 French sentences with que dalle. In 2023, the sample was drawn from the literary database Frantext from which we have selected the subcorpus corpus moderne (1800-1979) and the subcorpus corpus contemporain (1980-present).We haven’t found any attestations of que dalle or graphic variants beyond the selected period. In total, we collected and analysed all 208 observations across the two corpora (see Table 2 in the article). The Frantext data serves in the first place to map out the diachronic evolution of que dalle and to compare with rien in synchrony.Article abstract:
The present study constitutes a first contribution to the understanding of the French pronoun que dalle (‘nothing’). First, we looked at its syntactic flexibility,
its semantic strength in conveying zero quantification, and its pragmatic role in informal language. Then we compared que dalle with its near synonym rien and
analyzed its development. The results can be summarized as follows. On a descriptive level, we can conclude that, in spite of their different diaphasic distribution,
que dalle functions in much the same way as rien, but the former differs from the latter in terms of syntax (subject position, attributive adjective), stylistics and
especially pragmatics. On a methodological level, we hypothesized that que dalle originates in the exceptive structure ne…que (‘only’) but the corpus data were insufficient to demonstrate this assumption. On a theoretical level, different processes, i.e. lexicalization and grammaticalization, could be distinguished. We acknowledge that
individual quantifiers can be very different in nature and have different diachronic paths: the development of que dalle goes beyond this of rien in that it tends towards
inherent negativity in fragment answers.</p
Replication Data for: "Fractional charging of electronically open molecules: An explicit projection operator approach"
This data set is supplementary to the article "Fractional charging of electronically open molecules: An explicit projection operator aproach" (J. Chem. Phys. 162, 094108 (2025). doi: https://doi.org/10.1063/5.0251855).
This data set contains the geometry file (.xyz), input (.inp) and output (.out) file, and Python scripts (.py) to reproduce the results of the related publication.
This data set contains:
The geometry specification (geometry.xyz) for a benzene molecule physisorbed on a graphene sheet consisting of 150 carbon atoms.
An input file for the eT electronic structure program (eT.inp) and a corresponding output (eT.mo_information.out) to calculate orbital energies.
Python scripts (.py) to reproduce the results of the related publication. This includes calculating and plotting the fractional charging of the benzene molecule in the presence of the graphene sheet.
The fractional charging is calculated using two perturbative methods: Damped response theory and Redfield theory. The equations determining the fractional charging are derived and discussed in the related publication
Replication Data and Code for: Exploring sustainable development interactions through the lens of renewable energy consumption
The contents of this dataset is the basis of the analysis conducted in the related publication. The scope of the study was to investigate the relationship between renewable energy consumption and the state of sustainable development across countries. The investigation was facilitated by clustering countries according to their sustainable development metrics, and correlations between the sustainable development indicator gaps for each country and their renewable energy shares
Maps of soil organic carbon stocks in Norwegian forests
Spatial patterns of predicted organic carbon stocks in Norwegian forest soils. The predictions are generated from boosted regression tree models and represent the predicted soil organic carbon stock for three soil depth intervals: (1) soil surface down to 100 cm depth, (2) forest floor (LFH layer), and (3) 0–30 cm into the mineral soil
Replication Data for: "Vortex structures under dimples and scars in turbulent free-surface flows" (PART 4/4)
This data archive (along with parts 1-3) contains simulation data for direct numerical simulations of isotropic turbulence interacting with a free surface, for different Reynolds numbers and Weber numbers.
The data is generated by computing time evolution of the incompressible Navier-Stokes equations and continuity equation on a three-dimensional domain, which is periodic in horizontal directions, restricted from above by a deformable free surface (resolved by the kinematic and dynamic boundary conditions on a surface-adhering grid) and below by a free-slip boundary. Turbulence is generated by linear forcing in the centre of the domain.
For more detail on the simulations, parameters and flow problem, see the research article "Vortex structures under dimples and scars in turbulent free-surface flows", by Aarnes, JR, Babiker, O, Xuan, A, Shen, Lian, and Ellingsen, SA, in the Journal of Fluid Mechanics (2025).
The data archive is split over four different repositories (case details in Aarnes et al., 2025).):
Part 1: Data for case 1, Re = 2500, We = infinity. (doi.org/10.18710/XQ81WH)
Part 2: Data for case 2, Re = 2500, We = 20. (doi.org/10.18710/MBK9JF)
Part 3: Data for case 3, Re = 2500, We = 10. (doi.org/10.18710/PN7DZA)
Part 4: Data for cases 4-6, Re = 1000, We = infinity, 20, 10. (doi.org/10.18710/UAT043)
Each archive also contains the same readme file with instruction on how to get started and a data loader script which can read the binary files which the .tar-files contain. Due to storage limitations, only data for the upper part of the flow is included in this data archive. The thickness of the upper part is two times the viscous boundary layer. Moreover, the data is limited to approximately half of each time series, also to limit the storage requirement. (2025-01-10
Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem
This dataset contains the data and the code used to calculate moose density inside wolf territories and relates to the article entitled "Quantifying large carnivore predation on moose relative to human harvest in an intensively managed boreal ecosystem" and published in Ecological Applications in 2025
Replication Data for: Leaching Kinetics and Chemical Stability of Complex Perovskite Solid Solutions
The dataset contains the files and raw data for a submitted manuscript named: Leaching Kinetics and Chemical Stability of Complex Perovskite Solid Solutions: A Case Study on Bi0.5Na0.5TiO3-BaTiO3. The purpose of the dataset is to allow other researchers to replicate the study and model output.
The data has been generated from the exposure of Bi0.5Na0.5TiO3-BaTiO3 powders made in-house to aqueous HCl solutions of different pH for varying periods of time up to 31 days. The data gives a comprehensive description of the dissolution/leaching behavior of the perovskite Bi0.5Na0.5TiO3-BaTiO3 in aqueous environments.
The dataset contains data from:
Inductively coupled plasma mass spectrometry (ICP-MS) from the liquid solution after centrifugating out the Bi0.5Na0.5TiO3-BaTiO3 powders upon completion of an individual experiment. pH data obtained over the course of each individual liquid exposure experiment.
Scanning Electron Microscopy (SEM) micrographs of Bi0.5Na0.5TiO3-BaTiO3 powders before, and after exposure to the different solutions.
X-Ray Diffraction (XRD) diffractograms of Bi0.5Na0.5TiO3-BaTiO3 powders before, and after exposure to the different solutions.
Particle Size Distribution (PSD) analysis of Bi0.5Na0.5TiO3-BaTiO3 powder before exposure to liquid.
Brunauer-Emmett-Teller (BET) analysis of Bi0.5Na0.5TiO3-BaTiO3 powder before exposure to liquid.
Plain text model output data from a numerical model of the chemical kinetics of the system in the proprietary software COMSOL Multiphysics. The model files are also included.
The corresponding data for each method collected from BaTiO3 for a previous study is also included as it is used for comparison with the Bi0.5Na0.5TiO3-BaTiO3 data in the manuscript
Replication Data for: A Model-Based Framework for Developing Security-Safety Incident Response Plans
This data set contains 33 modeling diagrams used to model incident response procedures in security-safety incident response from two Norwegian oil and gas companies. The file set includes all diagrams in .png format depicting different perspectives on role responsibilities and interactions during the incident response used for analysis.
The diagrams were based on empirical findings using two case studies from the Norwegian oil and gas industry, by conducting semi-structured interviews, document analysis, and multiple meetings. However, the empirical findings are not reported here since they are not permitted to be shared. Abstract from publication:
Cyberattacks are increasingly affecting the safe operation of critical infrastructure (e.g., energy, manufacturing) and potentially endangering production, people, equipment, and the environment. A cyber-incident with physical consequences requires personnel responsible for aggregating log information, analyzing root cause (i.e., cybersecurity), and ensuring the production and safe operation of safety-critical systems (i.e., safety) to collaborate. For this, they must understand their own and each other's roles in the incident response process, as well as when and how to interact with different roles. To address this problem, this paper proposes a framework that utilizes a model-based approach to illustrate the critical roles and their interactions within a security-safety incident response plan. To demonstrate its applicability, the framework was applied in a qualitative study within the Norwegian oil and gas industry, involving two companies.
This research sheds light on the relevance of applying a model-based approach to developing security and safety incident response plans for organizations. It investigates the relevance of using two modeling languages: a general-purpose software systems modeling language, the Unified Modeling Language (UML), and an enterprise process workflow modeling language, the Business Process Modeling Notation (BPMN), for visualizing the security-safety incident response plan. The findings indicate that the modeling languages are suitable and relevant for understanding and discussing the collaboration and coordination of different personnel's roles during security-safety incident response. The distinct diagrams highlight various aspects, including roles, transmitted information, tasks, and the sequence of tasks. Future work should consider how the diagrams can be applied during the training and learning of the incident response plans. </p