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Replication Data for Raw data for the publication: Impact of drain spacing on subsurface drainage and greenhouse gas fluxes in a grassland on a sandy silt soil in western Norway.
No full textWe established drainage systems with 6 and 12 m drain spacing in a previously undrained sandy silt under grass. Subsurface drainage was larger (1415 versus 520 mm) and ground water table (GWT) was lower (102 versus 79 cm) with 6 than with 12 m drain spacing. Water filled pore space values (WFPS) remained high throughout most of the year (> 80%). Most N2O emissions occurred shortly after fertilization in 12 m system whereas emissions from 6m occurred throughout the year. Cumulative N2O emissions in the 6 and 12 m system were 4.0 versus 2.5 kg N ha-2 yr-1. Grass yields, plant N-recovery and fertilizer N use efficiency was larger with 6 than 12 m drain spacing and there was no difference in yield-scaled N2O emissions (0.26 mg N2O-N kg DM-1). The mean N2O emission factor was significantly higher with 6 than with 12 m drain spacing (1.4 versus 0.8 % N2O-N of N applied). The 6 m system acted as a net sink for CH4, whereas the 12 m system was a net CH4 source. N2O emissions dominated the non-CO2 global warming potential (GWP). The 6 m system had a higher GWP than the 12 m system (1390 versus 1110 g CO2 eq. m-2 yr-1). We conclude that higher observed N2O emissions at 6 m were likely due to a combination of less complete denitrification and a higher release of N from SOM at this site. Our study does not confirm that increased drainage intensity intrinsically reduces N2O emissions
Programming code for article: Predicting energy expenditure from dynamic body acceleration in a large boreal ungulate species
No full textThese files contain code to prepare data for and fit a dynamic generalized additive model to predict energy heart rate and energy expenditure from dynamic body acceleration in moose (Alces alces). In this study, we collected heart rate data using implanted loggers and accelerometer data using tri-axial accelerometer collars. To quantify heart rate measurement accuracy, we manually validated heart rates calculated by the loggers by manually calculating heart rate from raw ECG data. The dynamic generalized additive model can be used to predict heart rate from tri-axial accelerometer data. In this study, we calculated energy expenditure from heart rate using a previously published equation
Replication data for article "Characterisation of wood decay and fungal diversity in cultural heritage cable car pylons in Svalbard"
No full textThis study employs a novel combination of methods (DNA metabarcoding, light microscopy, two methods for decay rating, moisture dynamics, and chemical analysis) to characterise wood decay in cultural heritage cable car pylons in Svalbard, offering an interdisciplinary approach for characterisation of fungal decay processes and patterns in an extreme environment, i.e. polar regions. The pylons share a uniform design but vary in age, providing a unique opportunity to examine time-dependent decay progression in wooden cultural heritage objects. Light microscopy revealed the use of both P. abies and Pinus sylvestris in the cable car pylons. As expected, the decay rate was significantly slower in aboveground wood compared to ground proximity, affecting basic density, lignin, and holocellulose content, with lignin increasing as decay advanced. Fungal community analysis using DNA metabarcoding, confirmed by light microscopy, showed a dominance of brown rot and soft rot fungi, with ground proximity samples exhibiting higher fungal diversity than those exposed aboveground. The analysis revealed 28 wood decay fungi identified for the first time in Svalbard, and 25 for the first time in polar regions. In a changing climate, this underscores the global importance of detailed characterisation of fungal decay processes and patterns in valuable wooden constructions, not only wooden cultural heritage. Additionally, it highlights the need for continuous monitoring and updating of status lists, as new species can significantly impact ecological, maintenance, and conservation strategies. The combination of a diverse array of analytical methods used in this study presents a robust and comprehensive approach for understanding microbial interactions and decay processes, surpassing the insight provided by single-method assessments
Background Data for Constructionalization of body part constructions in Russian: five constructions with face, eyes, forehead, and back terms
No full textDataset abstract The dataset includes the attestations of five Russian constructions with body part term anchors (face, eyes, forehead, and back): VP v lico ('in face'), VP v glaza ('in eyes'), VP v lob ('in forehead'), VP za spinoj ('behind back'), and VP za glaza ('behind eyes'). The database covers the period from the 11th century to 2019. The dataset is in Russian. The database contains examples from the Russian National Corpus (www.ruscorpora.ru), specifically the main and historical (Old East Slavic and Middle Russian) subcorpora. The data was collected from the RNC during the period spanning spring 2024 to summer 2025.Article abstractThe paper examines the evolution of five Russian constructions that include body part terms: в лицо ‘in face’, в глаза ‘in eyes’, в лоб ‘in forehead’, за спиной ‘behind back’, and за глаза ‘behind eyes’. The qualitative analysis is based on the materials of the Russian National Corpus (main, National Media, Old East Slavic, and Middle Russian subcorpora). The five constructions constitute a family of “inclusative and exclusative” constructions. A crucial feature of the family is its semantics of the purposeful inclusion or exclusion of a participant, specifically the topic of the conversation. Inclusative constructions refer to situations in which a person is insulted or mocked openly and in their presence, ‘to their face’. Exclusative constructions denote situations in which an absent person is discussed, ridiculed, or negatively affected in some other way secretly, ‘behind their back’.
Non-compositional structure of the aforementioned constructions provides them with the ability to obtain non-trivial semantics. The paper discusses these meanings (such as presence or absence), explores the emergence of the five constructions in Russian, and describes the dynamic interactions and variations in the diachronic development within the family. The research shows that the three oldest constructions of the family have followed a similar historical trajectory: в лицо ‘in face’, в глаза ‘in eyes’ and за глаза ‘behind eyes’ had the ability to denote a more general ‘presence’ or ‘absence’ meaning, but have now developed to only describe open or secret communication. Moreover, the three constructions had multiple formal variants (in terms of lexemes and case forms), but only one variant in each case has survived the competition. Moreover, the research shows that the process of constructionalization is still ongoing: some of the discussed constructions are developing new semantics pertaining to online vs offline communication
Replication data for Colorectal cancer initiation by benzo[a]pyrene and N-nitroso compounds in A/J Min/+ mice
No full textThe dataset contains the complete raw data for the results presented in the manuscript Colorectal cancer initiation by benzo[a]pyrene and N-nitroso compounds in A/J Min/+ mice. The raw data were obtained from A/J Min/+ mice dietary exposed to individual or combined benzo[a]pyrene and n-nitroso compounds (NOCs) at low or high doses.
The main objective of the study was to characterize the carcinogenic potential of single or combined exposure to BaP and NOCs in the A/J Min/+ mouse model for colorectal cancer. The data includes various weights and lengths measurement, scoring of lesions in the small and large intestine , histopathology of lesions larger than 0,1962mm2 in the colorectum, and targeted plasma metabolomics. The aim was achieved by macroscopic investigations of intestinal tissue and histopathological characterization using light microscopy, in addition to targeted metabolomics of blood plasma using the p400 Biocrates kit
Replication Data for: Metaphor analysis meets lexical strings: Finetuning the Metaphor Identification Procedure for quantitative semantic analyses
No full textDataset Abstract:
This is the data that serves as the basis for a methodological article which proposes and illustrates two ways to extend the Metaphor Identification Procedure in such a way as to allow it to capture (metaphorical) lexical strings, in addition to (simple) metaphor-related lexical units. It includes a sample of 25 linguistic metaphors which stem from a larger corpus compiled by the first author, between October 2021 and May 2023. The corpus contains newspaper articles published in the Spanish-language, US-based newspaper El Diario (the El Paso and Juárez local editions). These articles revolve around the DACA (Deferred Action for Childhood Arrivals program) immigration program and were published between November 2020 and May 2023.Article abstract:
Recent years have witnessed the development of the Metaphor Identification Procedure (MIP/VU), a step-by-step protocol designed to identify metaphorically-used words in discourse. However, MIP(VU)’s merits notwithstanding, the procedure poses a problem to scholars intending to use its output as the basis for a semantic field analysis involving a quantitative component. Depending on the research question, metaphor analysts may be interested in chunks of language situated above the procedure’s standardized level of analysis (i.e, the lexical unit), including phrases and sentences. Yet, attempts to decenter the method’s exclusive focus on metaphor-related words have been the target of critique, among others on the grounds of their lack of clear unit-formation guidelines and, hence, their inconsistent unit of analysis and measurement. Drawing on data derived from a Spanish-language US-based newspaper’s coverage of the migration program known as DACA (Deferred Action for Childhood Arrivals), this article describes challenges that analysts can run into when attempting to use a dataset containing atomized metaphor-related words as the input for subsequent quantitative semantic analyses. Its main methodological contribution consists in a proposal and illustration of two possible ways to extend the existing MIP(VU)-protocol in such a way as to allow it to catch metaphorical strings, on top of words, in a reliable and systematic manner. One approach is procedural, and entails formulating a-priori grouping-directives based on the research question(s). The other is exploratory, involving the ad hoc grouping of units and adding a descriptive parameter meant to keep track of grouping-decisions made by the analyst, thereby safeguarding transparency at all time
Developed Excel-based query tool for 2700 circular economy indicators
No full textDATASET MIGRATED FROM FIGSHARE: This is an Excel-based query tool for over 2,700 indicators that facilitates the selection of appropriate indicators based on specific needs and further expansions.</p
Stepwise supplement: results of rule-based mappings, validations, and indices (CE–SDG Framework)
No full textDATASET MIGRATED FROM FIGSHARE: This supplementary file provides detailed results and documentation of the stepwise development, validation, and analysis process for the rule-based mapping of Circular Economy (CE) indicators to the Sustainable Development Goals (SDGs). It ensures full transparency, reproducibility, and traceability of the framework, aligned with the STAI³RS principles.The file includes:Initial Keyword List (Post-Internal Refinement) – The list of keywords developed after internal expert review.Round 1 Mapping Results – Rule-based NLP mapping results using the initial keyword list.Prompt-Grounded Mapping Results – Outputs from ChatGPT-4o used as a second validation layer.Discrepancy Detection: Round 1 vs AI-Assisted Mapping – Identification of mismatches between the two rounds.Discrepancy Analysis Summary – A concise summary of SDG- and match-level differences and resolution steps.Annotated Initial Keyword List – Marked changes made following the second validation layer.Updated Keyword List – The final refined list of keywords post-validation.Keyword Coverage and Frequency Analysis – Analytical insights into keyword effectiveness and distribution.Detailed Results for Baseline SDG Coverage Index (BSCI) – Full results of the baseline index calculations.Detailed Results for SDG Coverage Strength Index (SCSI) and Sensitivity Analysis – Comprehensive reporting of the robustness metrics and sensitivity outcomes.</p
Dataset and code supplement: Mapping gasification technologies and feedstocks with a dual validated large-scale literature-derived dataset
No full textDATASET MIGRATED FROM FIGSHARE: The data collection was conducted on 23 October 2025 as part of a large-scale bibliometric and text-mining workflow.The dataset imposes no temporal limitation on publication year. It includes research articles published between 1954 and 2025, covering 6,590 peer-reviewed papers related to gasification technologies and their corresponding feedstocks.This broad temporal range enables longitudinal analysis of technological evolution, feedstock diversification, and research trends across seven decades of gasification research.This dataset provides a comprehensive, literature-derived mapping of gasification technologies and feedstocks, compiled through large-scale text mining, full-text parsing, and dual validation processes.It integrates metadata and extracted variables from 6,590 peer-reviewed publications (1954–2025) indexed in the Scopus database. The dataset captures detailed information on feedstock types, technological pathways, and contextual descriptors relevant to gasification and reforming processes.Each record includes:Publication metadata (title, DOI, abstract, year)Extracted feedstock terms and technology referencesValidation fields from both rule-based NLP and AI-based (GPT-4o-mini) methodsQuality control flags for presence, usage, and contextual accuracyThe dataset thus represents a dual-validated, large-scale resource enabling quantitative and qualitative analyses of trends, correlations, and technological evolution in gasification research.</p
Replication data for: Scaling and dynamics of vortex lock-in for circular cylinders in an oscillating flow
No full textThis dataset contains the data required to reproduce the results in the journal article: "Scaling and dynamics of vortex lock-in for circular cylinders in an oscillating flow". It contains experimental results obtained in the wake of circular cylinders with various diameters placed in an acoustically oscillated flow. The results were acquired using hot-wire anemometry (HWA) and planar particle image velocimetry (PIV). The results presented discuss the physics involved in the problem through a novel scaling to estimate the onset of the lock-in phenomenon. Proper orthogonal decomposition (POD) was employed to obtain better insights into the process of vortex formation and their subsequent dynamics