cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23642/usn.28920527.v1
title: Python code for a rule-based NLP model for mapping circular economy indicators to SDGs

description: The supplementary materials provide detailed support for the rule-based NLP model for classifying Circular Economy (CE) indicators against the Sustainable Development Goals (SDGs). The package includes:The complete Python codebase implementing the classification algorithmA detailed manual outlining model features, requirements, and usage instructionsSample input CSV files and corresponding processed output files to demonstrate functionalityKeyword dictionaries for all 17 SDGs, distinguishing strong and weak matchesThese materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.
DOI: 10.23642/usn.28920620.v1
title: Python code for a stratified random sampling of circular economy indicators

description: This Python script performs stratified random sampling of 2,713 Circular Economy (CE) indicators based on their SDG classification for expert reviews. It ensures proportional representation by sampling approximately 5% of indicators from each SDG group while guaranteeing at least one sample per SDG when present. These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.<br>
DOI: 10.3535/12b-vr2-yt2
title: Erysimum cheiranthoides subsp. cheiranthoides

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/12c-0mj-50w
title: Montia fontana subsp. fontana

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.23642/usn.29063267.v1
title: Replication data for: Microbiome of a cruise ship: Analysis of the microbiome found on surfaces and crew members' hands

description: Extended data for the article with the same title.- Supplementary Table 1- Information letters and- Consent form
DOI: 10.23642/usn.29064080.v1
title: Replication dta for: Improving Hand Hygiene in Cruise Ship: an Intervention Study

description: Extended data for the article with the same title. Supplementary Table 1: Description of the sampled surfaces and sample collection methods.<br>Supplementary Table 2: Hand Hygiene Questionnaire<br>
DOI: 10.3535/12c-34h-nec
title: Poa humilis Ehrh. ex Hoffm.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.23642/usn.29064080.v2
title: Replication data for: Improving Hand Hygiene in Cruise Ship: an Intervention Study

description: Extended data for the article with the same title. Supplementary Table 1: Description of the sampled surfaces and sample collection methods.<br>Supplementary Table 2: Hand Hygiene Questionnaire<br>
DOI: 10.3535/12c-438-x7e
title: Alnus incana var. subsp. incana var. incana

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/12c-g33-757
title: Silene L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.23642/usn.29196077.v1
title: Replication data for: The social light field in eco-centric outdoor lighting

description: Cubic lighting metrics and subjective data for a lighting study on pavements.
DOI: 10.23642/usn.29206982.v1
title: Raw data files from the project

description: Raw data recorded with the ZED 2 stereo camera, divided into two folders for training (Good) and validation (Validate), with different castings used in each folder.An NVIDIA GPU is required to extract the image frames using the ZED SDK.
DOI: 10.3535/12c-myg-vdr
title: Polypodium vulgare L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/12c-myk-czm
title: Vicia cracca L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.23642/usn.29207537.v1
title: Software for Using the Dataset

description: These applications were created to extract image frames from the .svo2 files in the dataset and automatically segment and classify the castings, using their morphological shape.An NVIDIA GPU is required to run the image extractor application.
DOI: 10.3535/12c-q5z-2pb
title: Salix triandra L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.23642/usn.29225816.v1
title: Replication data for: "Family breakup dynamics in a promiscuous solitary mammal"

description: Datafiles and R code used for all analyses, figures, tables, and Supplementary Materials included in the manuscript: "Family breakup dynamics in a promiscuous solitary mammal".Please see ReadMe file for more information regarding all the files.
DOI: 10.23642/usn.29369285.v1
title: Task-shifting in Eye Health in High-Income countries - a scoping review protocol.pdf

description: This document outlines the protocol for a scoping review that aims to map existing research on task-shifting in eye health services in high-income countries. Task-shifting involves reallocating specific tasks from highly specialized professionals to less specialized workers, patients, caregivers, or technology. The review will explore the types of tasks shifted, methods of task-shifting, its effects, and barriers and facilitators to implementation. It follows the JBI methodology and includes studies from 2000 onward in English, German, Dutch, and Scandinavian languages. The findings will support evidence-informed strategies to enhance service delivery and address workforce challenges in vision and eye care
DOI: 10.3535/12c-qx6-alg
title: Barbarea stricta Andrz.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/12c-ys2-qs9
title: Carex atrofusca Schkuhr

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.23642/usn.29424308.v1
title: Search strategies for a review article on intersectorial collaboration and young people not in education, employment or training (NEET)

description: Search strategies for a review article on cross sector collaboration regarding youth not in education, employment, or training are described.
DOI: 10.3535/12d-3g3-z6f
title: Geranium bohemicum L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/12d-7y9-hyh
title: Potentilla crantzii (Crantz) Beck ex Fritsch

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.23642/usn.29819435.v1
title: Dataset of Communication Latency in U Space system

description: In the U-Space ecosystem, effective communication between U-Space Service Providers (USSP), Common Information Service Providers (CISP), and drone operators is critical for ensuring the safety and efficiency of Unmanned Aerial Vehicle (UAV) operations. One key challenge is reducing communication latency, which impacts the responsiveness of time-critical services. This study evaluates latency performance across two communication protocols—push–pull (using REST-API and ZeroMQ) and publish–subscribe (using AMQP and MQTT)—within a real case study on drone detection. Latency measurements were collected for core operations such as conformance monitoring, flight plan approval, and alert dissemination under varying message intervals and payload sizes. The findings reveal that message interval significantly affects latency, whereas payload size has a lesser impact. Push–pull protocols consistently achieved lower and more stable latency than publish–subscribe mechanisms, although both approaches met the latency requirements outlined by EASA for U-Space systems.
DOI: 10.23642/usn.29819858.v1
title: Dataset of Drone Distance Estimation

description: Drone Datasets for Distance Estimation using YOLOv11 and Regression ModelsThis datasets consists of:YOLOtrainedKongsbergDataset: images of DJI Air 2S drone taken outside of USN Kongsberg campus for pretrained YOLO model.DistanceEstimationKongsbergDataset: images of DJI Air 2S drone taken outside of USN Kongsberg campus arranged in distance folder for regression model.YOLOtrainedVestfoldDataset: images of DJI Mavic 3 Enterprise drone taken outside of USN Vestfold campus for pretrained YOLO model.DistanceEstimationKongsbergDataset: images of DJI Mavic 3 Enterprise drone taken outside of USN Vestfold campus arranged in distance folder for regression model.The images of datasets number 1 and 2 are the same, but the dataset number 2 is arranged in the folders based on the distance when the camera took the picture. Similarly with images is datasets number 3 and 4. The datasets with name started "YOLOtrained..." are grouped into three categories train 60%, valid 20%, and test 20% for the purpose of YOLO training. Also, there are annotation files that represent the location of the drone and its bounding box in the image using YOLO format.The datasets are used for distance estimation research that is submitted to the Remote Sensing journal under title: "Drone Distance Estimation using YOLOv11 and Regression Models for Drone Detection Service in U-Space System".
DOI: 10.3535/12c-8bn-6sx
title: Cerastium alpinum var. lanatum (Lam.) Hegetschw.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/12d-ar8-e0n
title: Iris sibirica L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.23642/usn.30016618.v1
title: “Student Teachers’ Understanding of Professional Digital Competence - A Scoping review protocol"

description: The objective of this scoping review is to investigate what is known about pre-service teachers’ Professional Digital Competence, and what the literature reveals about pre-service teachers' understanding of Professional digital competence
DOI: 10.23642/usn.30076624.v1
title: <b>Supplementary data to: Comparative Environmental Assessment of Integrated Anaerobic Digestion and Pyrolysis Systems for Sewage Sludge Treatment: Impact Assessment using ReCiPe and USEtox methods</b>

description: Data for the article: Comparative Environmental Assessment of Integrated Anaerobic Digestion and Pyrolysis Systems for Sewage Sludge Treatment: Impact Assessment using ReCiPe and USEtox methodsThis dataset supports a comparative environmental assessment of integrated anaerobic digestion (AD) and pyrolysis systems for sewage sludge treatment. Six scenarios (S1–S6) are evaluated using ReCiPe and USEtox methods, covering configurations of AD, pyrolysis, and combinations with aqueous pyrolysis liquid (APL) recycling. The data includes process parameters, pollutant concentrations, energy balances, and ecotoxicity results.The scenarios represent both conventional and innovative treatment pathways, including high-rate anaerobic digestion and the reintegration of APL. The dataset captures detailed information on chemical oxygen demand (COD), total solids (TS), methane yields, heating values, and degradation rates of persistent organic pollutants (POPs) such as PFAS, PAHs, PCBs, and PCDD/Fs. It also includes emissions data from pyrolysis. Foreground data is taken from the industrial plant and units already at the facility such as dryer, dewatering unit, and pyrolysis process. In addition, secondary data were retrieved from relevant literature and lab-scale reactor setups.This comprehensive dataset enables reproducibility of life cycle impact assessments and facilitates the development of future sludge valorization strategies. It is particularly valuable for researchers and practitioners working on waste-to-energy systems, circular economy approaches, and environmental risk assessments of emerging treatment technologies.
DOI: 10.23642/usn.30102349.v1
title: pattern_whorl5x4_15x16.txt

description: A novel imaging method for corneal nerve fibres by in vivo confocal microscopyAn explorative study was performed at the University of South-Eastern Norway (USN) by the research group “Eyes Anterior Segment and Eye health” (EASE) developing a novel imaging method for examination of corneal subbasal nerve plexus by in vivo confocal microscopy
DOI: 10.23642/usn.30546347.v1
title: <i>Dataset and code supplement: Mapping gasification technologies and feedstocks with a dual validated large-scale literature-derived dataset</i>

description: 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 more than 6,500 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 more than 6,500 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.<br><br>
DOI: 10.23642/usn.30580145.v1
title: Supplementary materials for "Ethical Dilemmas in Circular Biomass Conversion"

description: The dataset includes supplementary information for the study “Ethical dilemmas in circular biomass conversion: Lessons, contradictions, and future directions for sustainable transitions.” The dataset combines materials from two PRISMA-guided systematic reviews conducted on 25 October 2025 covering ethical issues in the circular economy and biomass conversion systems, with additional analytical components. These include a taxonomy of ethical frameworks and dilemmas, detailed thematic descriptors, and bibliographic metadata compiled through conceptual synthesis. Together, the materials represent the ethical discourse and literature available up to October 2025.<br>
DOI: 10.23642/usn.30627965.v1
title: CO₂-to-X conversion technologies (2020–2025): literature-derived dataset and validation code

description: 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.<br>
DOI: 10.3535/12d-gl5-zlj
title: Draba lactea Adams

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/12d-pvy-tmb
title: Salix caprea L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.23642/usn.30630182.v1
title: Large-scale literature-derived compound-level dataset of organic chemicals in pyrolysis oils from diverse feedstocks

description: The dataset provides a curated, study-linked compilation of organic compounds reported in pyrolysis oils from biomass and other waste-derived feedstocks. It is derived from a systematic literature search and screening process and currently includes approximately 8,700 compound-level records and over 3,000 unique compounds extracted from about 100 peer-reviewed studies published between 2008 and 2025.Each compound record is linked to its originating study and annotated with feedstock class, pyrolysis technology, catalyst (where applicable), separation/analytical technique, and reported yield or abundance, enabling users to explore how product slates vary across feedstocks, process conditions, and upgrading strategies. A complementary study-level file documents the PRISMA-based selection process and provides the bibliographic metadata for all included publications.<br>
DOI: 10.23642/usn.30630182.v2
title: Large-scale literature-derived compound-level dataset of organic chemicals in pyrolysis oils from diverse feedstocks

description: The dataset provides a curated, study-linked compilation of organic compounds reported in pyrolysis oils from biomass and other waste-derived feedstocks. It is derived from a systematic literature search and screening process and currently includes approximately 8,700 compound-level records and over 3,000 unique compounds extracted from about 100 peer-reviewed studies published between 2008 and 2025.Each compound record is linked to its originating study and annotated with feedstock class, pyrolysis technology, catalyst (where applicable), separation/analytical technique, and reported yield or abundance, enabling users to explore how product slates vary across feedstocks, process conditions, and upgrading strategies. A complementary study-level file documents the PRISMA-based selection process and provides the bibliographic metadata for all included publications.<br>
DOI: 10.3535/12d-q9h-gvw
title: Potamogeton praelongus Wulfen

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/12d-w4a-5tf
title: Eleocharis acicularis (L.) Roem. & Schult.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.23642/usn.30688646.v1
title: Supplementary code and data for LLM-based validation of a circular economy R-strategy dictionary

description: This dataset provides the code and example input–output files used for the LLM-assisted validation of a circular economy R-strategy keyword dictionary. It accompanies the manuscript on rule-based analysis of 500 circular economy definitions. The dataset does not include the full set of 500 circular economy definitions; it focuses specifically on the R-strategy keyword dictionary and its validation workflow, enabling other researchers to inspect, reuse, or adapt the dictionary and reproducibly apply the same validation procedure to their own keyword sets.<br>
DOI: 10.23642/usn.30702092.v1
title: Supplementary code and curated data for 1,863 experimental gasification studies (laboratory to commercial scale)

description: This dataset provides a validated, literature-derived compilation of 1,863 experimental gasification studies spanning laboratory, pilot, demonstration, and commercial scale. Each record is linked to its underlying publication via a unique record_id and includes harmonised bibliographic metadata together with a curated set of technical descriptors extracted from titles and abstracts.The thematic variables cover two core fields: (i) reactor and scale descriptors (gasification technology, gasification scale, capacity, feedstock, gasifying agent, particle size, temperature range), and (ii) key operating and materials parameters (feed rate/capacity, pressure range, equivalence ratio, catalyst use and type, bed material), along with a manually assigned study-type classification. All labels were first generated via a GPT-4o-mini–based extraction and validation pipeline and then subjected to structured manual review and correction. The dataset is released in machine-readable Excel/CSV format, accompanied by the full extraction and validation code, enabling transparent reuse in technology mapping, benchmarking, techno-economic and LCA studies, and evidence-based scale-up analysis of gasification technologies.<br><br>
DOI: 10.3535/12e-05m-lzc
title: Carex distans L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/12e-h37-dr9
title: Carex rhizina subsp. rhizina

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/12e-n33-ct8
title: Geranium pyrenaicum Burm. f.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/12e-r2e-l71
title: Dichodon cerastoides (L.) Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/12f-0nn-0rd
title: Cerastium alpinum var. subsp. alpinum var. serpentinicola

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/12d-lf2-11h
title: Salix myrtilloides L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.17981572
title: Automatic Positioning and Contour Analysis of Complete Bone Models - data and code

description: 3D models (.wrl/.vrml) of modern mountain gazelle (Gazella gazella) astragali and calcanea.

PYTHON script for computing automatic alignment (Part 1- align_items) and contours (Part 1-Contours). 

This work accompanies the manuscript: Lebenzon, R., Dick, N., Munro, N.D., Grosman, L., under review. New Tools for Computational Zooarchaeology: Automatic Positioning and Contour Analysis of Complete Bone Models. Journal of Archaeological Science.

ABSTRACT: 

As staple tools in zooarchaeological research, morphometric analyses have contributed substantially to foundational research themes such as taxonomy, paleoenvironmental reconstruction and animal domestication. Thus, as the field of archaeology transforms with the rapid advancement of computational techniques, new methods that analyze the complete 3D model, herein called Complete Model Analysis (CMA), hold great promise for zooarchaeology. By extracting and analyzing the complete 3D mesh in a fully automated manner, CMA offers an accurate, repeatable and nuanced approach to bone shape analysis. However, until now, CMA has not been integrated into zooarchaeology due to the complexity and irregularity of some bone shapes which are incompatible with the existing automatic positioning methods that provide the essential first step in CMA analysis. Here, we address this challenge by introducing a three-step procedure that can automatically position any 3D mesh. This breakthrough enables the application of all existing CMA analytical protocols to faunal material. Additionally, we present a global contour tool that automatically generates geometric profiles to calculate assemblage variance. We demonstrate the applicability and utility of these two tools by exploring sex-related variability in a collection of modern mountain gazelle (Gazella gazella) skeletons. Ultimately, this paper opens the door to the development of new CMA analyses in zooarchaeology, including by machine learning.
DOI: 10.3535/12f-61x-1by
title: Dianthus arenarius L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.