cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18477119
title: LiDAR-Based Pose Initialization Dataset for Spinning Spacecrafts

description:  

This dataset contains fully synthetic LiDAR data generated from scratch and used in the article:

Recurrent Convolutional Neural Networks for LiDAR-Based Pose Initialization of Spinning Spacecrafts

Authors:Luca Bechis, Jean-Luc Sarvadon, Petre Ricioppo, Mauro ManciniDepartment of Mechanical and Aerospace Engineering, Politecnico di Torino, Italy

Dataset Description

The dataset is designed for LiDAR-based pose initialization and relative navigation of spinning spacecraft.

It includes two main components:1) Image Dataset: image-based LiDAR representations used as inputs for convolutional neural networks.2) Sequence Dataset: temporal sequences of LiDAR scans used for recurrent neural network training.

The dataset includes data generated for three spacecraft models:- Aquarius- Magellan- NEAR Shoemaker

The data are fully synthetic and generated using a custom simulation pipeline.

Citation

If you use this dataset in your work, please cite both this dataset and the associated article.

@article{Bechis2025RCNNLiDAR,  title   = {Recurrent Convolutional Neural Networks for LiDAR-Based Pose Initialization of Spinning Spacecrafts},  author  = {Bechis, Luca and Sarvadon, Jean-Luc and Ricioppo, Petre and Mancini, Mauro},  journal = {IFAC World Congress},  year    = {2025},  note    = {Under review}

Dataset Repository

The dataset repository, including future releases of the dataset generation code, is available at:https://github.com/STREAMRobotics/rcnn-lidar-spinning-spacecraft-dataset
DOI: 10.3535/95v-xm5-bkn
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/lv8-l8c-jg0
title: Noctuidae

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.4y35x2
title: Occurrence Download

description: A dataset containing 1883 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-85.601310 40.222860, -85.654031 40.289434, -85.741762 40.289434, -85.688986 40.222860, -85.601310 40.222860))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 1883 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011014-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/72m-s3g-9nh
title: Noctua Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.4wbjpe
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alluaudiopsis marnieriana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 49 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011015-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/2m9-69l-rt8
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.6084/m9.figshare.31248481
title: The relationship between interpersonal interaction and school adaptation of the new second-generation vocational and technical school students

description: With the rapid growth of new second-generation populations in Taiwan, vocational and technical school (VTS) students from immigrant families increasingly face challenges in interpersonal interaction, identity formation, and school adaptation. Existing studies have rarely examined how interpersonal interaction functions as a psychological and social mechanism influencing school adaptation within multicultural vocational education contexts. Given the rising proportion of new second-generation students and their heightened risk of marginalization and maladjustment, an empirical investigation of facilitating factors is urgently needed. This study explores the relationship between interpersonal interaction and school adaptation among new second-generation VTS students in Taiwan. Drawing on Carl Rogers’ self-concept theory and Eisenberger’s perceived organizational support theory, a hypothesized theoretical model was proposed that incorporates self-concept as a mediating variable and perceived organizational support as a moderating variable. Partial least squares structural equation modeling (PLS-SEM) was employed to test the model. The results indicate that interpersonal interaction significantly predicts school adaptation, self-concept partially mediates this relationship, and perceived organizational support moderates the pathway between interpersonal interaction and self-concept. These findings contribute to multicultural education research and provide empirical support for inclusive vocational education practices aligned with SDG 4.5.
DOI: 10.6084/m9.figshare.31248481.v1
title: The relationship between interpersonal interaction and school adaptation of the new second-generation vocational and technical school students

description: With the rapid growth of new second-generation populations in Taiwan, vocational and technical school (VTS) students from immigrant families increasingly face challenges in interpersonal interaction, identity formation, and school adaptation. Existing studies have rarely examined how interpersonal interaction functions as a psychological and social mechanism influencing school adaptation within multicultural vocational education contexts. Given the rising proportion of new second-generation students and their heightened risk of marginalization and maladjustment, an empirical investigation of facilitating factors is urgently needed. This study explores the relationship between interpersonal interaction and school adaptation among new second-generation VTS students in Taiwan. Drawing on Carl Rogers’ self-concept theory and Eisenberger’s perceived organizational support theory, a hypothesized theoretical model was proposed that incorporates self-concept as a mediating variable and perceived organizational support as a moderating variable. Partial least squares structural equation modeling (PLS-SEM) was employed to test the model. The results indicate that interpersonal interaction significantly predicts school adaptation, self-concept partially mediates this relationship, and perceived organizational support moderates the pathway between interpersonal interaction and self-concept. These findings contribute to multicultural education research and provide empirical support for inclusive vocational education practices aligned with SDG 4.5.
DOI: 10.6084/m9.figshare.31248483
title: Phytochemical characterization and wound healing potential of <i>Salvia veneris</i> Hedge extract-based ointment

description: <i>Salvia veneris</i> Hedge (Krythean sage), an endemic species of Cyprus, was investigated for its phenolic compounds and wound healing through the development of an ointment. Phenolic constituents of <i>S. veneris</i> ethanol extract (SVEE) were characterised by LC–MS/MS, and total phenolic content was determined using the Folin–Ciocalteu method. Twenty-two phenolic compounds were identified, with caffeic acid as the major compound and a total phenolic content of 144.6 mg GAE/g. SVEE enhanced fibroblast proliferation in the MTT assay (IC<sub>50</sub> = 56.01 ± 1.34 μg/mL) while exhibiting low cytotoxicity. <i>In vivo</i> evaluation of SVEE-based ointment using an excision wound model demonstrated significant, dose-dependent healing activity, with increased re-epithelialization and accelerated wound contraction (91.17 ± 1.84% by day 15) compared with control groups. These findings indicate that the rich phenolic composition of <i>S. veneris</i> contributes to its potent wound-healing activity, supporting the potential of SVEE-based formulations as promising natural therapeutics for wound healing.
DOI: 10.6084/m9.figshare.31248483.v1
title: Phytochemical characterization and wound healing potential of <i>Salvia veneris</i> Hedge extract-based ointment

description: <i>Salvia veneris</i> Hedge (Krythean sage), an endemic species of Cyprus, was investigated for its phenolic compounds and wound healing through the development of an ointment. Phenolic constituents of <i>S. veneris</i> ethanol extract (SVEE) were characterised by LC–MS/MS, and total phenolic content was determined using the Folin–Ciocalteu method. Twenty-two phenolic compounds were identified, with caffeic acid as the major compound and a total phenolic content of 144.6 mg GAE/g. SVEE enhanced fibroblast proliferation in the MTT assay (IC<sub>50</sub> = 56.01 ± 1.34 μg/mL) while exhibiting low cytotoxicity. <i>In vivo</i> evaluation of SVEE-based ointment using an excision wound model demonstrated significant, dose-dependent healing activity, with increased re-epithelialization and accelerated wound contraction (91.17 ± 1.84% by day 15) compared with control groups. These findings indicate that the rich phenolic composition of <i>S. veneris</i> contributes to its potent wound-healing activity, supporting the potential of SVEE-based formulations as promising natural therapeutics for wound healing.
DOI: 10.15468/dl.hkykbx
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dracocephalum spinulosum"
 ]
}

 The dataset includes 24 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011016-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bg5nbk
title: Occurrence Download

description: A dataset containing 214652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus laurocerasus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 214652 records from 1076 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010973-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ja3h5v
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Microbial Community Database (MiCoDa). A curated global 16S rRNA gene amplicon dataset from all environments",
 "Geometry POLYGON((120.0376795841846 30.255039028508477,120.14119224116034 30.255039028508477,120.14119224116034 30.358551685484215,120.0376795841846 30.358551685484215,120.0376795841846 30.255039028508477))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011007-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nt3c4j
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Decarya madagascariensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 123 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011019-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18478176
title: Replication Data for Intelligent Semantic Adaptation Framework for Indonesian Wellbeing-Sensitive Academic Mobile Interfaces

description: # Replication Data for: Intelligent Semantic Adaptation Framework for Indonesian Wellbeing-Sensitive Academic Mobile Interfaces

**Authors:** Bhanu Sri Nugraha, et al.**Year:** 2025/2026 (Upcoming)

## OverviewThis repository contains the supplementary materials, source code, and validation artifacts for the research paper "Intelligent Semantic Adaptation Framework for Indonesian Wellbeing Sensitive in Academic Mobile Interfaces".

## File Description

### 1. Semantic Assets (CIM Layer)* **iws_ontology.ttl**: The core OWL ontology file (Turtle format) representing the Indonesian Wellbeing Scale dimensions. Open this using Protégé.* **IWS Ontology Documentation - Extended Taxonomy.pdf**: Detailed documentation of the class hierarchy, object properties, and semantic rules used in the framework.

### 2. Computational Code (PIM Layer)* **Computational Code and Requirements.py**: Python script implementing the IS-AUI algorithm, including Random Forest (Perception) and Contextual Bandits (Decision). This script generates the "Stability Graph" (Fig. 4).* **WebPage - ClientApp - V6.txt**: Source code for the frontend mobile application (Edge Side).* **WebPage - Dashboard - V6.txt**: Source code for the admin dashboard (Cloud Side).

### 3. Validation Artifacts* **validation_queries.rq**: The raw SPARQL scripts used for Functional Validation (Table 3 in the manuscript).* **SPARQL VALIDATION REPORT.pdf**: The execution results of the competency questions proving semantic traceability.* **HermiT_Consistency_Log.txt**: (See Section 3 below) Proof of logical consistency check.

### 4. Datasets* **Synthetic Datasets Generator.py**: Python script used to generate the pre-deployment training data.* **synthetic_user_logs_sample.csv**: A sample of the generated data (100 rows) showing the structure of input U_t.
DOI: 10.5281/zenodo.18478177
title: Replication Data for Intelligent Semantic Adaptation Framework for Indonesian Wellbeing-Sensitive Academic Mobile Interfaces

description: # Replication Data for: Intelligent Semantic Adaptation Framework for Indonesian Wellbeing-Sensitive Academic Mobile Interfaces

**Authors:** Bhanu Sri Nugraha, et al.**Year:** 2025/2026 (Upcoming)

## OverviewThis repository contains the supplementary materials, source code, and validation artifacts for the research paper "Intelligent Semantic Adaptation Framework for Indonesian Wellbeing Sensitive in Academic Mobile Interfaces".

## File Description

### 1. Semantic Assets (CIM Layer)* **iws_ontology.ttl**: The core OWL ontology file (Turtle format) representing the Indonesian Wellbeing Scale dimensions. Open this using Protégé.* **IWS Ontology Documentation - Extended Taxonomy.pdf**: Detailed documentation of the class hierarchy, object properties, and semantic rules used in the framework.

### 2. Computational Code (PIM Layer)* **Computational Code and Requirements.py**: Python script implementing the IS-AUI algorithm, including Random Forest (Perception) and Contextual Bandits (Decision). This script generates the "Stability Graph" (Fig. 4).* **WebPage - ClientApp - V6.txt**: Source code for the frontend mobile application (Edge Side).* **WebPage - Dashboard - V6.txt**: Source code for the admin dashboard (Cloud Side).

### 3. Validation Artifacts* **validation_queries.rq**: The raw SPARQL scripts used for Functional Validation (Table 3 in the manuscript).* **SPARQL VALIDATION REPORT.pdf**: The execution results of the competency questions proving semantic traceability.* **HermiT_Consistency_Log.txt**: (See Section 3 below) Proof of logical consistency check.

### 4. Datasets* **Synthetic Datasets Generator.py**: Python script used to generate the pre-deployment training data.* **synthetic_user_logs_sample.csv**: A sample of the generated data (100 rows) showing the structure of input U_t.
DOI: 10.15468/dl.qkhtrw
title: Occurrence Download

description: A dataset containing 39271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-88.233588 40.022252, -88.287513 40.088796, -88.375139 40.088796, -88.321160 40.022252, -88.233588 40.022252))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 39271 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011018-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18022076
title: Performance of MRP, RPS, and ConWIP in Stochastic Multi-Stage Systems: An Item-Level Simheuristic Study

description: This study conducted a comprehensive comparison of three production planning and control systems – MRP, RPS, and ConWIP – across 18 stochastic multi-item, multi-stage production environments. The evaluation incorporated varying production system structures (flow, job, hybrid shops), planned utilization levels, and customer-required lead-time tightness. A simheuristic combining Simulated Annealing, Simulation Budget Management, and Exponential Range Reduction was applied to tune planning parameters at the item and component level, significantly enlarging the search space compared to earlier, system-level studies. The simheuristic consistently outperformed the baseline, with gains most pronounced under high utilization and complex structures. ConWIP proved most robust in medium- to high-load environments by stabilizing work-in-process. In contrast, MRP performed best under low utilization and relaxed due-dates, as demand-driven logic is most effective when congestion is minimal. While RPS was the least flexible and benefited least from tuning, it offered the highest efficiency with minimal computational overhead, providing a clear trade-off between optimization depth and responsiveness.
DOI: 10.5281/zenodo.18022077
title: Performance of MRP, RPS, and ConWIP in Stochastic Multi-Stage Systems: An Item-Level Simheuristic Study

description: This study conducted a comprehensive comparison of three production planning and control systems – MRP, RPS, and ConWIP – across 18 stochastic multi-item, multi-stage production environments. The evaluation incorporated varying production system structures (flow, job, hybrid shops), planned utilization levels, and customer-required lead-time tightness. A simheuristic combining Simulated Annealing, Simulation Budget Management, and Exponential Range Reduction was applied to tune planning parameters at the item and component level, significantly enlarging the search space compared to earlier, system-level studies. The simheuristic consistently outperformed the baseline, with gains most pronounced under high utilization and complex structures. ConWIP proved most robust in medium- to high-load environments by stabilizing work-in-process. In contrast, MRP performed best under low utilization and relaxed due-dates, as demand-driven logic is most effective when congestion is minimal. While RPS was the least flexible and benefited least from tuning, it offered the highest efficiency with minimal computational overhead, providing a clear trade-off between optimization depth and responsiveness.
DOI: 10.18150/uhuwxl
title: Necessary Conditions for International Students' Cultural Adjustment and Well‑Being

description: These materials are used in the study "Necessary Conditions for Cultural Adjustment and Well‑Being: Evidence from International Students" by Michał Wilczewski.The materials consist of:A dataset titled "NecessaryConditionsDataset.xlsx" containing numerical data used for Necessary Condition Analysis (NCA), its effect‑size sensitivity extension (NCA‑ESSE), and Importance‑Performance Map Analysis (IPMA).A document titled "List of Variables" describing the variables included in the dataset, including measurement scales, sources, and example items.
DOI: 10.15468/dl.9hc5jp
title: Occurrence Download

description: A dataset containing 246771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((98.16283 23.99514,103.16283 23.99514,103.16283 28.99514,98.16283 28.99514,98.16283 23.99514))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 246771 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010967-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmvtwj
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Didierea madagascariensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 40 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011020-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38d553
title: Occurrence Download

description: A dataset containing 37637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.559067 40.150185, -87.612886 40.216800, -87.700646 40.216800, -87.646773 40.150185, -87.559067 40.150185))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 37637 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011022-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.