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Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
No full textDATASET MIGRATED FROM FIGSHARE: 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.</p
Dataset of Communication Latency in U Space system
No full textDATASET MIGRATED FROM FIGSHARE: 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. </p
Supplementary code and curated data for 1,863 experimental gasification studies (laboratory to commercial scale)
No full textDATASET MIGRATED FROM FIGSHARE: 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.</p
Supporting Data for: A comparative analysis of goat milk quality on Norwegian farms with focus on somatic cell count and seasonal variation
No full textSomatic cell count (SCC) is used as an indicator of milk quality and udder health in dairy goats, although its interpretation is complicated by non-infectious causes, including seasonality, farm-specific practices, and physiological factors. This study analyzed 868 milk samples from nine Norwegian dairy goat farms to investigate the interplay between SCC, individual bacterial count (IBC), and milk composition. Samples were collected on three occasions during the lactation period (early, mid, and late lactation). The results showed that SCC peaked in the pasture period and then decreased but remained elevated in late lactation. IBC showed a positive correlation with higher SCC levels, although this correlation varied significantly across different farms and time periods. The presence of intramammary infections only partially explained the varying correlation between SCC and bacterial counts. This indicates that the relationship between SCC and IBC is influenced not only by infections but also by management practices, environmental conditions, and other farm-level factors. The study revealed a co-variation between SCC and other milk components according to the lactation stage and season. Furthermore, the investigation of factors influencing the interplay between SCC and IBC provides a deeper understanding of SCC as a milk quality indicator in dairy goats
Replication Data for: Do government invitations to consultations shape stakeholder participation in public policymaking?
No full textFull dataset to replicate analyses for the article: "Do government invitations to consultations shape stakeholder participation in public policymaking?". Dataset "EJPR_data.RData" denotes the full dataset for the analyses and Figures of the article, it contains information about participatory patterns and stakeholder diversity across the Norwegian government's public consultations, as well as information about the number of invitations, initiative type, policy area, consultation length, time trend and ministries. Dataset EJPR_data_fig1.RData is necessary in order to recreate Figure 1 of the article and contains summary information about the participation of different stakeholder types across ministries. The file EJPR_replication.R contains the r-script used to run the analyses and create the figures. The dataset was compiled from public records of Norwegian government consultations, including stakeholder submissions, invitation lists, and policy documents. The dataset contains information about all government consultations between 2009 and 2013.
Aritcle abstract:
Online public consultations are an instrument frequently used by governments to invite citizens and interest organisations to participate in the formulation of public policies. A key feature of the consultation design is the prerogative of policymakers to send formal invitations to consultations to stakeholders. The extent to which these invitations shape the patterns of stakeholder participation in online consultations is a relevant theoretical and empirical research puzzle that remains largely overlooked in the literature on participatory governance and bureaucratic policymaking. Our study addresses this gap in research and asks: do government invitations to consultations increase the levels and diversity of stakeholder participation in online public consultations? We explain when and why the number of government invitations is systematically associated with higher levels of participation and diversity of stakeholder interests and how this systematic co-variation is conditional upon the policy act type on which the government consults. We test our argument on a new dataset containing information about 251,153 instances of stakeholder participation in 4,062 online public consultations organised by the Norwegian government across all policy areas during 2009-2023. We find that a higher number of government invitations is systematically associated with significantly higher stakeholder participation, higher diversity of interests represented, and a higher likelihood of and more frequent citizen participation. This positive association is, however, moderate in size and is also conditional upon policy act type. Invitations increase participation and stakeholder diversity more in consultations on legislative acts and government reports relative to all other acts. These are acts on which the demand for stakeholder participation successfully meets stakeholders’ interest in supplying it. Our study underscores the importance of government invitations as a relevant feature of consultation design that shapes patterns of participation in public consultations while accounting for the impact of the policy context in which consultations are organised
Replication Data for: Simultaneous measurements of velocity, oxygen concentration, and deformed interface position in an air–water channel using PIV and LIF
No full textThis data set contains planar Particle Image Velocimetry measurement fields and dissolved oxygen concentration data for the experiments described in the article titled "Simultaneous measurements of velocity, oxygen concentration, and deformed interface position in an air–water channel using PIV and LIF"
The experiments are conducted in an air–water channel flow facility at the Norwegian University of Science and Technology. Oxygen transfer across a deforming air–water interface is studied using simultaneous measurements of velocity and dissolved oxygen. Spatial and temporal evolution of dissolved oxygen concentration, fluctuation, and flux is explored.
This work was funded by the European Union (see funding information): Views and opinions expressed are, however, those of the authors only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them
Replication Data for: Motion verbs and secondary predications: What corpus data can tell the classroom practitioner
No full textThis dataset sheds light on the secondary predication construction in Russian, which involves a choice between adjectives or numerals in the long form nominative, short form nominative, and instrumental case. Examples involve prijti p’janyj ‘arrive drunk’ (long form nominative), usnut’ p’jan ‘fall asleep drunk’ (short form nominative), and ubit’ soseda p’janym ‘kill the neighbor while drunk’ (instrumental). The dataset contains 860 examples from the Russian National Corpus (main and newspaper subcorpora). The analysis shows that the long form nominative and the instrumental have different distributions in modern Russian, while the short form nominative is marginal in present day Russian
The Prostate_Cancer_CISH_HE_Epithelium_Segmentation dataset
No full textThe Prostate_cISH_Epithelium_Segmentation Dataset
Corresponding author: Henrik Sahlin Pettersen ([email protected])
Consultant Pathologist / Associate Professor, St. Olav's Hospital / NTNU, Trondheim, Norway
Short Webpage Description
This dataset provides high-resolution histopathological images and corresponding expert-annotated segmentation masks, specifically designed for developing AI models for prostate epithelium segmentation. The images feature Chromogenic In Situ Hybridization (cISH) staining for various miRNAs, alongside controls and standard Hematoxylin & Eosin (HE) stains. Data originates from 70 patients: 30 with prostate cancer (PCa) and 40 with benign prostatic hyperplasia (BPH).
Sample Collection
Prostate Cancer (PCa): 30 patients. Samples include normal glandular epithelium (core type 'a'), Gleason 3 pattern (core type 'b'), and Gleason 4 pattern (core type 'c'), ideally in triplicate for each marker.
Benign Prostatic Hyperplasia (BPH): 40 patients. Samples consist of triplicate normal glandular epithelium for each marker.
Markers and Controls
Data is provided for the following stains, each organized into its own top-level folder:
miRNAs: miR‑550A, miR‑1246, miR‑3614, miR‑4326, miR‑4632, miR‑4742, miR‑4754, miR‑7850
Controls: U6 (Positive), Scr (Negative)
Standard Stain: Hematoxylin & Eosin (HE)
Data Format & Organization
Each high-resolution image (.jpg) has a corresponding pixel-level segmentation mask (.png) delineating the prostate epithelium, suitable for training deep learning models. Segmentation masks are single-channel images where pixel value 0 indicates background and pixel value 255 indicates epithelium.
The data is organized first by marker, then by tissue type/origin. Within each marker's top-level folder (e.g., HE/, 550A/), the structure is:
[Marker]/
├── Normal/
│ ├── Normal_TURP_BPH/ (Images/masks from BPH patients)
│ └── Normal_Prostatectomy/ (Normal core 'a' images/masks from PCa patients)
└── Cancer/
└── Cancer_Prostatectomy/ (Gleason 3/4 core 'b'/'c' images/masks from PCa patients)
All image and mask files are located directly within the innermost folders (Normal_TURP_BPH, Normal_Prostatectomy, Cancer_Prostatectomy). Filenames encode marker, patient type, anonymized ID, sample number, core type, and optional experimental details.
Terms of Use
Distributed under a CC0 license for open research and development.
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Drone-based glacier mapping of Fridtjovbreen, Vallakrabreen, Paulabreen, and Scheelebreen
No full textThis database contains drone-based mapping data of four glaciers in Svalbard, Norway. Fridtjovbreen on the west coast and Vallakrabreen, Paulabreen, and Scheelebreen which are three surging glaciers in Rindersbukta. The dataset was generated using a structure-from-motion (SfM) method using drone-based imagery. The data was processed with Agisoft Metashape and the processed data consists of digital elevation models (DEMs) in georeferenced .TIF file format, orthomosaic maps in georeferenced .TIF, .JPG, and .PNG file format, and textured 3D models in .STL and .JPG file format. In addition, a process report in archived .PDF file format is included for each dataset. Mapping was conducted with a DJI Mavic 3 Pro Enterprise. The mapping area covers the crevassed glacier fronts. Data collection was conducted during Spring 2025 (29.03.2025-02.04.2025). For Fridtjovbreen, two different models are available, one high resolution and one baseline resolution. The datasets for Paulabreen and Scheelebreen are combined
Data for: Lifetime Estimation based on HVDC Breakdown Strength of Thin Films Peeled from Fresh and PQ-Tested 525 kV DC-XLPE Cables
No full textThis dataset is considered an add-on to a conference paper that has not been published yet. The information in the paper are in part crucial to understand the dataset. The dataset contains raw data, processed data and additional diagrams to the study described in the paper