cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp3/oq9o09
title: Exploring Social Interactions in Vancouver's Neighbourhood Parks Through Sentiment Analysis of Google Reviews

description: Understanding social cohesion in urban green spaces is essential for fostering inclusive and resilient communities. This study analyzes social sentiment in Vancouver parks using a transfer learning natural language processing (NLP) approach to classify and interpret visitor reviews. A self-attention deep learning model was trained to detect social cohesion–related sentiment and categorize it into five classes: strong negative, moderately negative, neutral, moderately positive, and strong positive. Google reviews for 180 Vancouver parks were collected and pre-processed, including tokenization and translation where needed. Binary classification was first applied to filter for reviews relevant to social cohesion, followed by fine-tuning RoBERTa, a robustly optimized BERT (Bidirectional Encoder Representations from Transformers) model that excels at understanding contextual word meaning within sentences, on a labeled dataset. This fine-tuning process adapted the model’s attention toward content associated with social cohesion themes such as “welcoming,” “family,” “crowded,” and “unsafe.” The average park sentiment score was then used as the independent variable in a generalized linear regression (GLR) model, followed by geographically weighted regression (GWR) to account for spatial variation. Twenty candidate socioeconomic variables from the 2021 Canadian census were tested as predictors of average park sentiment. Results showed that household size and median income were statistically significant positive predictors of higher park sentiment at the dissemination area (DA) scale. The findings highlight disparities in perceived social cohesion across Vancouver’s neighborhoods and reveal the social atmosphere of parks beyond Google star ratings alone, offering evidence-based insights for park planning and management.

Key Words: Social cohesion, sentiment analysis, transfer learning, deep learning, geographically weighted regression, natural language processing
DOI: 10.5683/sp3/xqzbdn
title: Mapping Invasive Highbush Blueberry in Richmond Nature Park: A Multi-temporal Normalized Difference Vegetation Index (NDVI) and Spectral Analysis Approach for Peatland Conservation

description: This study demonstrates the application of multi-temporal Normalized Difference Vegetation Index (NDVI) analysis and red-band spectral signatures from Sentinel-2 imagery to map the distribution of invasive highbush blueberry (Vaccinium corymbosum) within Richmond Nature Park, British Columbia. Located in the Lulu Island Bog, this critical peat ecosystem faces significant ecological threats from invasive species that disrupt native vegetation communities and alter hydrological processes. By analyzing seasonal NDVI variations across multiple time periods (February-November 2023) and incorporating red-band dominance filters to capture characteristic fall senescence patterns. In this study a habitat suitability model is developed that effectively predicts blueberry presence within the study area. The methodology yielded a strong positive correlation between predicted suitability scores and field-verified blueberry coverage (r = 0.81, p &lt; 0.001), with the model explaining 65.5% of the variance in blueberry distribution patterns (adjusted R² = 0.64). September-October NDVI differences emerged as particularly powerful indicators of blueberry presence, capitalizing on distinctive fall coloration absent in native bog species. This cost-effective approach using freely available medium-resolution satellite imagery offers conservation managers a valuable tool for identifying priority intervention areas without requiring expensive high-resolution data sources. This study’s findings contribute to broader conservation efforts aimed at preserving endangered peat bog ecosystems and their critical carbon sequestration functions in the face of increasing climate change concerns.
description: To explore an interactive visual summary of the project, visit the StoryMap at: https://arcg.is/1TGvL40

This StoryMap provides a public-facing, interactive narrative of the research process, including maps, figures, and key findings from the suitability analysis. It is designed for a broader audience including conservation practitioners, educators, and local stakeholders interested in peatland preservation and invasive species monitoring.
description: PDAL (Point Data Abstraction Library), 2.8.4
description: R, 4.5.0
DOI: 10.5683/sp3/vxkmd0
title: Evaluating LiDAR technology to Augment Fuel Typing Classification by Enhancing accuracy of Vegetation Resource Indices in The Resort Municipality of Whistler

description: This study evaluates the integration of airborne LiDAR (Light Detection and Ranging) data with British Columbia’s Vegetation Resource Inventory (VRI) to identify opportunities for enhancement. LiDAR-derived forest structure metrics were compared against VRI estimates in the Resort Municipality of Whistler, revealing discrepancies and variable correlation strengths. Tree height showed a moderately strong correlation (r ≈ 0.66, p &lt; 0.001) between VRI-projected and LiDAR-measured values. LiDAR heights were on average ~0.86 m lower than VRI estimates, through sharing identical patterns and trends, indicating agreement in vertical structure. In contrast, canopy closure (percent cover) has only a weak correlation (r ≈ 0.27). LiDAR-derived canopy closure values were substantially higher, about 55.8% on average than VRI projections, suggesting that our LiDAR method overestimated due to methodological differences. Conifer vs. broadleaf compositions showed that LiDAR morphological metrics can partly predict species composition: percent conifer in VRI had a moderate negative correlation with LiDAR-derived canopy cover (r ≈ –0.41) and moderate positive correlation with tree shape aspect ratio (r ≈ 0.40) though showing some correlation this is too modest for any conclusive predictive power. Our methodology combined terrain-normalized LiDAR point clouds, individual tree segmentation, and extraction of metrics such as height, crown area, aspect ratio, and crown surface curvature. The results demonstrate that LiDAR can augment VRI by providing more objective measurements, higher spatial resolution, and improved estimates of key forest attributes. These enhancements could benefit applications including forest management, wildfire risk assessment, and carbon accounting.
DOI: 10.5683/sp3/o182zq
title: Appendix B- Experimental products

description: This dataset contains BSE images of experimental run products from Chapter 4 of L. Fairhurst's PhD thesis.
DOI: 10.5517/ccdc.csd.cc2pfccw
title: CCDC 2485498: Experimental Crystal Structure Determination

description: Related Article: Ming Kit Lin|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5683/sp3/n4q2mx
title: Appendix C- Ilmenite and chromite from kimberlites

description: This dataset contains BSE images of ilmenite and chromite from Ekati, Gahcho Kué, AK6 (from Karowe), Orapa and Victor kimberlites from Chapters 3 and 5 in L. Fairhurst's PhD thesis.
DOI: 10.5683/sp3/frm8do
title: Appendix A – Supplementary Tables

description: This dataset contains Supplementary Tables for L. Fairhurst's PhD thesis.
DOI: 10.5683/sp3/adzidm
title: Replication Data for: Short Pants, Public Interest: The Appeal of Political Staff Positions to Young People in Canada

description: Replication data for Short Pants, Public Interest: The Appeal of Political Staff Positions to Young People in Canada in Canadian Public Administration
DOI: 10.5683/sp3/mxs8zd
title: :unav

description: :unav
DOI: 10.5683/sp3/qbmldv
title: Mehri debate poem
title: The crow and the frankincense worker

description: A video and an audio recording of a Mehri debate poem. Both recordings contain more than one poem. The video recording is accompanied by a transliterated and translated ELAN annotation file. The poem is the subject of the forthcoming article: S. al-Qumairi, J.C.E. Watson & M.J. Morris. 2025. The Crow and the Frankincense Harvester: A Mehri Debate Poem. In L. Kogan and M. Bulakh, Festschrift for Vitaly Naumkin, Leiden: Brill.
description: ELAN, 6.8
description: Both files contain more than one poem. The introduction to the debate poem in the video begins c. c. 04.44, starts c. 05.20 and ends c. 09.00 minutes. The audio of the poem begins c. 03.21 minutes into the recording and is preceded by a short introduction
DOI: 10.5683/sp3/kqkyon
title: Queen's University Research Data Management Survey, 2024

description: The Queen’s University Research Data Management Survey 2024 is the second RDM survey conducted by Queen's University Library and the Vice-Principal Research Portfolio. This survey was administered to monitor any changes in responses to the first survey and introduce new questions related to how respondents manage their research data during the active data phase of a research project.
DOI: 10.5683/sp3/lgpnpi
title: SMAPVEX22-Boreal experiment data

description: The Soil Moisture Active Passive Validation Experiment in the boreal forest (SMAPVEX22-Boreal) took place near Candle Lake, Saskatchewan and focuses on data collected within a single Soil Moisture Active Passive (SMAP) radiometer footprint, covering an area of approximately 30 x 30 km2. The SMAPVEX22-Boreal field experiment focused on accurately representing both soils and vegetation of the region based on comprehensive sampling campaigns. Numerous datasets were collected from sampling campaigns and through the installation of in situ networks. The current version contains network hourly soil moisture and tree real dielectric constant (RDC) data from May to October, 2022. Additional datasets will be added in the future as they become available.
DOI: 10.5683/sp3/dsmlke
title: DOM dataset in James Bay in summer 2021-2022

description: This file contains DOM data collected during the summer cruises in 2021 and 2022 in James Bay aboard the R/V William Kennedy.
description: doi to come
DOI: 10.5683/sp3/gkkifs
title: Lecture d’un passage du roman « La montagne secrète » de Gabrielle Roy

description: Base de données de l’Atlas sonore des variétés de français au Canada. Ces enregistrements sont constitués de lecture d'un passage du roman « La montagne secrète » de Gabrielle Roy.
&lt;br&gt;&lt;br&gt;
Ce projet vise à valoriser les différents accents de la francophonie canadienne et à les situer géographiquement. Vous pouvez voyager avec votre curseur d’un coin à l’autre du pays en écoutant les différents accents.
&lt;br&gt;&lt;br&gt;
Un de nos objectifs est aussi d’offrir un outil pédagogique pour les enseignant·e·s et les élèves intéressé·e·s par le français, la diversité et la variation linguistique.
&lt;br&gt;&lt;br&gt;
Ce projet est une co-création de Dre Marie-Eve Bouchard et Dre Amanda Cardoso de l’Université de la Colombie-Britannique. Il a été financé par Language Science Institute et Open Educational Resources Fund de l’Université de la Colombie-Britannique.
DOI: 10.5683/sp3/sxqzup
title: Transitioning dairy cattle from parlor to automatic milking systems

description: This paper investigated behavioral responses associated with fear when cows first experienced milking in an automatic milking system (AMS), comparing cows that had experienced two different types of training: baseline training involved being moved into an inactive AMS unit to receive a grain reward for 3 days before milking; enhanced training used a grain reward to encourage cows to enter the AMS followed for 10 days before baseline training began. All 45 cows tested, regardless of training regime, showed evidence of fear when entering the AMS for milking, and fear responses declined over multiple milkings.
DOI: 10.5683/sp3/levgtx
title: Replication Data for: Where I belong
title: Public spaces and everyday acts of inclusion

description: These data are from the project Where I belong: Public spaces and everyday acts of inclusion (College and Community Social Innovation Fund 548440-2019)
DOI: 10.5683/sp3/sed6ph
title: Dataset for 'Climate, Water and Human Mobility in North Africa during MIS 5'

description: This dataset includes the downscaled paleoclimate dataset derived from Krapp et al. (2021), along with the R scripts and spatial data used to produce the following outputs: Graphs of precipitation trends over time; Climate–archaeology models.

It also includes: Reconstructed paleohydrological networks for each MIS 5 substage, modeled using a flow accumulation threshold of 10,000,000 mm; Archaeological dataset for MIS 5, used in the climate–archaeology modeling; Shapefiles of the northern and southern domains used for the precipitation graph.
DOI: 10.5517/ccdc.csd.cc2pxyh2
title: CCDC 2500475: Experimental Crystal Structure Determination

description: Related Article: Che-Jen Lin|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5683/sp3/dbi02z
title: Supplemental data for: Analysis of gene expression variation among wheat cultivars gives insights into duplicate gene diversification in polyploids

description: This dataset is an appendix for the thesis "Analysis of gene expression variation among wheat cultivars gives insights into duplicate gene diversification in polyploid". These data were the output of the two software. fastp was used to filter 394 FASTQ files and provide information about the data's quality. fastp produced 394 HTML files along with the filtered FASTQ files. The HTML files were used to capture the necessary information to make the Supplementary Table 1. STAR provided the information in TXT format along with the mapping files, and similarly, aggregated the information from the 394 TXT files to make Supplementary Table 2.
description: fastp
DOI: 10.5281/zenodo.17657633
title: NVivo Coding Summary and Thematic Dataset for Coconut Value Chain Research (South Lampung)

description: This dataset contains an anonymized NVivo coding summary and thematic classifications derived from qualitative interviews related to the coconut value chain in South Lampung. All personal identifiers and sensitive details have been removed to ensure confidentiality. The dataset includes top-level codes, subcodes, and brief descriptions generated through systematic qualitative analysis.
DOI: 10.5683/sp3/c6y2ln
title: Sow vaginal microbiome 16S rRNA sequencing data

description: This dataset contains 16S rRNA gene sequencing data from the vaginal microbiome of sows sampled at commercial and research farms, generated using the PacBio Sequel platform. The data was collected as part of a study aiming to characterize the microbial communities of the sow vagina and explore their associations with reproductive potential and infertility.
description: PacBio Sequel
DOI: 10.5281/zenodo.17657632
title: NVivo Coding Summary and Thematic Dataset for Coconut Value Chain Research (South Lampung)

description: This dataset contains an anonymized NVivo coding summary and thematic classifications derived from qualitative interviews related to the coconut value chain in South Lampung. All personal identifiers and sensitive details have been removed to ensure confidentiality. The dataset includes top-level codes, subcodes, and brief descriptions generated through systematic qualitative analysis.
DOI: 10.5281/zenodo.8376719
title: 30 m resolution global forest burned area dataset of 2018

description: Global forest burned area data produced based on the high-precision global burned area product GABAM.The product was projected in a Geographic (Lat/Long) projection at 0.00025°(approximately 30 meters) resolution, with the WGS84 horizontal datum and the EGM96 vertical datum, consisting of 5° x 5° tiles spanning the range 180W–180E and 80N–60S.

contacts: zhangzhaoming@aircas.ac.cn/zhangzm@radi.ac.cn

Please cite this paper: Zhaoming Zhang, Baoye Qi, Guojin He, et al. High resolution global forest burned area changes monitoring using Landsat 7/8 images. GEO-SPATIAL INFORMATION SCIENCE, 2025, DOI: 10.1080/10095020.2025.2483429
DOI: 10.5683/sp3/pmpqu8
title: Associated data for Janssen et al. 2025, Riparian vegetation variability in natural boreal forests: lessons for delineating riparian zones.

description: Data from plant surveys conducted in aquatic habitats of the boreal forest in the province of Quebec, Canada, between 2007 and 2012. The datasets include the list of identified plant taxa, survey data for both plots and transects, as well as environmental data for both plots and transects.
DOI: 10.5281/zenodo.8376718
title: 30 m resolution global forest burned area dataset of 2018

description: Global forest burned area data produced based on the high-precision global burned area product GABAM.The product was projected in a Geographic (Lat/Long) projection at 0.00025°(approximately 30 meters) resolution, with the WGS84 horizontal datum and the EGM96 vertical datum, consisting of 5° x 5° tiles spanning the range 180W–180E and 80N–60S.

contacts: zhangzhaoming@aircas.ac.cn/zhangzm@radi.ac.cn

Please cite this paper: Zhaoming Zhang, Baoye Qi, Guojin He, et al. High resolution global forest burned area changes monitoring using Landsat 7/8 images. GEO-SPATIAL INFORMATION SCIENCE, 2025, DOI: 10.1080/10095020.2025.2483429
DOI: 10.5683/sp3/rc5x0e
title: Replication data for: Evaluating the Impact of Storytelling Elements on Social Media Engagement: An AI-driven approach

description: This dataset contains the number of NER (Named Entity Recognition) labels and engagement reactions (likes, shares, and comments) associated with each Facebook post in the dataset. The posts come from 439 Canadian companies listed in the international directory of manufacturing companies on the Dun & Bradstreet website.
DOI: 10.5683/sp3/xgroud
title: Deciphering Petrogenetic Histories of Polymict Regolith Breccias from the Moon, Mars, and 4 Vesta - NWA 10922 Data Archive

description: Collection of research observations and data discussed in thesis "Deciphering Petrogenetic Histories of Polymict Regolith Breccias from the Moon, Mars, and 4 Vesta". Datasets include SEM images, EDS maps, EPMA maps and composition tables, and Raman spectra images acquired from the Martian meteorite NWA 10922.
DOI: 10.5683/sp3/dcu4kh
title: Clinical feasibility of quantifying the force-time characteristics of spinal mobilizations in the preschool-age pediatric population

description: This study assessed the feasibility of using a fingertip force sensor to measure the force-time characteristics of spinal mobilizations performed by chiropractors on children aged five and under. Six chiropractors and 43 children participated. Recruitment was successful, and data collection was feasible despite some challenges related to children's cooperation. The sensor did not affect tactile feedback or increase treatment time. However, issues with calibration and visual placement were noted, and data loss occurred, especially during cervical mobilizations. These findings support the potential use of fingertip sensors in pediatric research while highlighting areas for methodological improvement. 

Cette étude a évalué la faisabilité d’utiliser un capteur de force au bout des doigts pour mesurer les caractéristiques force-temps des mobilisations vertébrales chez des enfants de cinq ans et moins. Six chiropraticiens et 43 enfants ont participé. Le recrutement a été réussi et la collecte de données globalement faisable, malgré quelques défis liés à la coopération des enfants. Le capteur n’a pas nui à la sensibilité tactile ni à la durée du traitement. Des problèmes de calibration et de positionnement ont toutefois été observés, ainsi qu’une perte de données, notamment lors des mobilisations cervicales. Ces résultats orientent l’amélioration des méthodes en recherche pédiatrique.
description: *** Ethical considerations prevent this dataset from being publicly available. The participants did not consent to having their depersonalized data shared openly. You may click on the “Contact owner” button to request access under specific conditions. ***
*** Des considérations éthiques empêchent la mise à disposition publique de ce jeu de données. En effet, les participantes et participants n'ont pas consenti à ce que leurs données dépersonnalisées soient rendues accessibles publiquement. Vous pouvez cliquer sur « Contacter le ou la propriétaire » pour en faire la demande, sous certaines conditions. ***
DOI: 10.5683/sp3/883b6x
title: Replication data for: Supplying standardized ileal digestible lysine via soybean meal below estimated requirements for late gestating gilts does not negatively affect mammary development

description: Significant mammary development occurs in late gestation for sows. This project aimed to assess whether under-feeding protein (lysine) would negatively affect late-gestation mammary development of primiparous sows. The dataset contains the chemical composition of mammary parenchymal tissue and plasma amino acid concentrations on day 110 of gestation for primiparous sows fed a control or reduced-protein diets in late gestation.
description: SAS
DOI: 10.5683/sp3/rkmcyx
title: BQC19 Multi-Omics and Clinical Dataset

description: The Biobanque québécoise de la COVID-19 (BQC19) is a cohort that provides a rich source of clinically characterised patient samples and datasets, including whole-genome sequencing, transcriptomics, metabolomics, immunoserology, proteomics, and clinical laboratory analyses. This comprehensive multi-omics investigation seeks to contribute to the expanding compendium of COVID-19 knowledge, harmonising insights gleaned from diverse molecular strata.
&lt;br&gt;&lt;br&gt;
This is a controlled-access dataset that is not hosted on Borealis. To obtain access, a formal data access request must be submitted and approved.
DOI: 10.5683/sp3/lpuz9v
title: Opportunities and Challenges for Canada’s Mariculture Under Climate Change: A Regional and Sectoral Outlook

description: Mariculture is an important component of the seafood industry in Canada, but climate change poses complex challenges and opportunities. Using the Global Mariculture Production Model (GOMAP), we assessed projected changes in production potential, farm-gate prices, and employment for key 13 species across the Atlantic and Pacific coasts. Projections were modelled under two climate scenarios (SSP1-2.6 and SSP5-8.5) and three production scenarios. Results show substantial regional disparities. The Atlantic region is expected to see modest gains under SSP1-2.6 but steep declines under SSP5-8.5 due to climate stress and habitat loss. In contrast, Pacific Canada; particularly central and northern areas show strong growth potential under SSP5-8.5, especially for climate-resilient finfish like Coho salmon and Steelhead trout. However, these gains depend on policy, infrastructure, and spatial planning that address conflicts with conservation, Indigenous uses, and other priorities. Farm-gate prices are projected to rise, potentially increasing producer revenue but threatening affordability. Employment outcomes diverge: Pacific Canada may benefit under high-emissions scenarios, while the Atlantic faces consistent job losses. Our findings highlight the need for adaptive governance and investment in resilient systems to ensure mariculture remains a sustainable, equitable, and climate-resilient food source for Canada.