cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14288/1.0439806
title: Using LiDAR Data to Analyze the Habitat Suitability for Birds and Create the Minetest Digital Twin Model of UBC Botanical Garden

description: Urban green spaces are closely related to the abundance and biodiversity of birds by providing important habitats and together contribute to ecosystem health. This project aims to guide the University of British Columbia Botanical Garden to create Bird-friendly green spaces by using LiDAR data to analyze and map UBCBG's bird habitat suitability and create a 3D digital twin model of UBCBG in the open source game engine Minetest to increase 3D visualization and aid in landscape planning. By extracting the Canopy Height Model (CHM) using LiDAR data and performing individual tree segmentation, the derived metrics were used to identify trees with the highest bird habitat suitability index. The results showed that the suitability index ranges from -0.0016 to 0.5187, with a mean value of 0.2051. There are 68 trees with high suitability above the 0.4 intervals which have significance to bird populations and are worthy of being protected, accounting for only 3.38% of the total trees. They usually have a low vertical complexity index and foliage height diversity but are characterized by very tall trees with relatively large tree crowns. The Digital Elevation Model (DEM), Canopy Height Model (CHM) generated by LiDAR data were visualized in Minetest's UBCBG's 3D digital twin model using real terrain mod as topography and vegetation layers, while bird habitat suitability was used to symbolize the tree canopy layer. This study is highly relevant for landscape adaptation and planning in conjunction with other management considerations to support bird-friendly green spaces. The digital twin model can be used for educational and promotional purposes, and for landscape planning and aesthetic design with the consideration of bird conservation.
DOI: 10.14288/1.0448435
title: Assessment of Green Roof Suitability by Active Remote Sensing of University of British Columbia Buildings

description: Green roofs are a promising mitigation tool against environmental concerns caused by increased urbanization. This study aims to address which of the University of British Columbia’s buildings are most suitable for a retrofitted green roof using active remote sensing. Through the assessment of six characteristics of buildings, a suitability score was given to all buildings within the area of interest on campus. The six suitability criteria are rooftop slope, rooftop area, building usage, building ownership, structural materials, and light intensity. The six suitability characteristics where selected based off literature on existing green roof retrofitting analyzing their structure, types and performance. This study is part of the Social Ecological Economic Development Studies (SEEDS) Sustainability Program to address sustainability policies and practices on UBC’s campus. The building suitability analysis resulted in the detection of five buildings with the greatest suitability score and their total rooftop area being 31,940.80 m^2. Each of the five buildings then was further investigated in terms of the vegetation health and density surrounding the buildings to isolate potential concerns of planting in the area. The mean NDVI of existing greenery surrounding the top five suitable buildings is 0.67, indicative of moderate to high density vegetation. Implementing green roof retrofitting on the suitable UBC buildings requires an additional accessibility analysis to maximize the positive social impacts of increasing campus greenery and make decisions on the green roof structure.
DOI: 10.14288/1.0423060
title: Estimated values of boreal caribou demographic rates (R, S, lambda) generated from SpaDES landscape simulations in the Northwest Territories

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Most research on boreal populations of Woodland caribou (&lt;em&gt;Rangifer tarandus caribou&lt;/em&gt;) has been conducted in areas of high anthropogenic disturbance. However, a large portion of the species’ range overlaps relatively pristine areas primarily disturbed by natural disturbances, such as wildfire. Climate-driven habitat change is a key concern for the conservation of boreal-dependent species, where management decisions have yet to consider knowledge from multiple ecological domains integrated into a cohesive and spatially explicit forecast of species-specific habitat and demography. We used a novel ecological forecasting framework to provide climate-sensitive projections of habitat and demography for five boreal caribou monitoring areas within the Northwest Territories (NWT), Canada, over 90 years. Importantly, we quantify uncertainty around forecasted mean values. Our results suggest habitat suitability may increase in central and southwest regions of the NWT’s Taiga Plains ecozone but decrease in southern and northwestern regions driven by conversion of coniferous to deciduous forests. We do not project boreal caribou population growth rates to change despite forecasted changes to habitat suitability. Our results emphasize the importance of efforts to protect and restore northern boreal caribou habitat despite climate uncertainty while highlighting expected spatial variations that are important considerations for local people who rely on them. An ability to reproduce previous work, and critical thought when incorporating sources of uncertainty, will be important to refine forecasts, derive management decisions, and improve conservation efficacy for northern species at risk.&lt;/p&gt;
DOI: 10.14288/1.0439794
title: Old-Growth Attributes Prediction in the Coastal Western Hemlock Ecosystem, British Columbia using LiDAR

description: Old-growth forests have complex structure variability that provides critical habitat for endangered species, enhancing biodiversity and ecosystem services, but old-growth has become rare due to historical forest harvesting. In order to support the conservation of Old-Growth forests in B.C., it is necessary to identify old-growth forests from other non-old-growth forests. However, the traditional age measurement methods are costly and intractable at landscape scales, also the structural characteristics of old growth are not included. This study attempts to predict the distribution of old-growth attributes in the Coastal Western Hemlock (CWH) zone in British Columbia using area-based lidar metrics. Lidar point clouds of 61 forestry inventory plots are extracted to generate liDAR metrics to create multilinear regression models for four old-growth attributes: standard deviation of diameter at breast height (DBH), maximum tree DBH, average live crown percentage, and the sum of understory plants percentage. The results show that multilinear regression and LiDAR data can be used to estimate the distribution of old-growth attributes except for the average live crown percentage. An old-growth index is derived from four old-growth attributes for mapping the potential locations of old-growth. However, the validation results of 11.28% from vegetation resource inventory (VRI) illustrate that the old-growth index does not successfully identify old growth. Despite the challenges encountered, the prediction results can still be used to identify old-growth attributes and enhance knowledge of old-growth landscapes. Also, this study has potential applications in old-growth forest restoration in the Western Hemlock Ecosystem and supports the old-growth management plan of the government.
DOI: 10.14288/1.0430447
title: Training dairy heifers with positive reinforcement: effects on anticipatory behavior.

description: Dairy cattle are often restrained for veterinary procedures, but restraint can cause fear responses that can make the procedure challenging for both the animal and the human handler. Positive reinforcement training (PRT) is used in other species to reduce fear responses and there is now evidence that this can also facilitate handling in cattle. The objectives of this study were to test the effect of PRT on anticipatory and play behavior in dairy heifers. We used 20 heifers (5 ± 0.6 mo old) that had been habituated to the chute area and had previous experience with low-stress handling. Heifers were randomly assigned to 2 treatments: control (n=10) and PRT (n=10). PRT heifers were subjected to a training protocol that included low-stress handling as well as target training with food reinforcement. Control heifers were moved to the chute using low-stress handling only. We predicted that heifers trained with PRT would show more anticipatory and play behaviors than control heifers in the period before gaining access to a chute. As predicted, PRT heifers performed more behavioral transitions (7.6 ± 0.77 versus 4.4 ± 0.57 transitions for control heifers; F1,9=21.99, P&lt;0.01), and specifically performed more locomotory play such as jumping (2.1 ± 0.30 vs. 0.4 ± 0.19 jumps; F1,9=57.18, P&lt;0.01) and running (2.0 ± 0.40 s vs. 0.5 ± 0.16 s; F1,9=20.73, P&lt;0.01). These results indicate that PRT results in heifers having more positive emotional states in anticipation of handling, and supports the use of training to improve the welfare of dairy cattle.
DOI: 10.14288/1.0431349
title: Using Remote Sensing Data and Raster Analysis Tools to Assess Fire Hazard Severity in South-Central British Columbia

description: Wildfire is a significant threat to ecosystems and human safety, exacerbated by climate warming. The Penticton region of British-Columbia, Canada is an area which is experiencing increasingly worsening wildfire events. These natural disturbance events represent a significant threat to local ecosystems, property and human life and wellbeing. As fire conditions worsen, and the population density of this region increases, landscape analysis of fire hazard levels is necessary to direct emergency service management prior to and during wildfire events and to inform policy on how to manage these natural disasters. To assess fire hazard levels, a GIS-based multi-criteria analysis was performed to understand fire hazard spatially, subdivided into low, moderate, high, and severe hazard areas. Two models were built to achieve this, taking into account commonly used variables employed to assess fire hazard severity around the world. To identify potential differences in hazard assessment, the models weighted these variables differently from one another. Fire location points from the year 2000 to 2021 were overlayed with each respective model output. Model 1 spatially overlapped with 73.88% of these fires, while model 2 spatially overlapped with 74.35%. These results can help identify areas of elevated hazard under ideal burning conditions, inform deployment of emergency services and resources, and provide a framework for using a GIS to conduct a fire hazard landscape assessment.
DOI: 10.14288/1.0431353
title: The Cooling Effects of Campus Greenery at the University of British Columbia Campus

description: Heat waves have threatened many people’s health and affected people’s thermal comfort on the West Coast of Canada in recent years. Urban greenery is crucial in mitigating climate change issues by influencing the temperature in cities. Land surface temperature is a metric to understand energy change at a landscape scale, while the air temperature is not representative of its surroundings. Land surface temperature can be measured and calculated by using remote sensing technology. This technology can capture surface temperature data from satellite imagery, allowing for accurate measurements of temperature changes over time. The paper studied how urban greenery coverage affected land surface temperature and air temperature respectively at the University of British Columbia in July and August 2022. The study calculated land surface temperature from Landsat images and collected air temperature data from available sensors. Two linear regression models were built to illustrate relationships between urban greenery coverage and land surface temperature and air temperature respectively. The results revealed that with the increasing percentage of urban greenery coverage, the land surface temperature reduced. Deciduous trees showed the strongest ability to reduce land surface temperature, followed by modified grass-herb and coniferous trees. Areas that are classified as barren had the highest land surface temperature. However, there was no significant relationship between urban greenery coverage and air temperature. This study provides valuable information for urban planners and policymakers to design and implement effective green space strategies that can address climate change and human thermal comfort issues.
DOI: 10.15468/dl.d49pw5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephelium glabrum (Blume) Cambess.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000503-250424135625364/datasets/export for details.
DOI: 10.14288/1.0431356
title: Mangrove mapping along the Lower Casamance River in Senegal, using the Google Earth Engine Mangrove Mapping Methodology (GEEMMM)

description: Mangrove forests are highly productive, complex coastal ecosystems that shelter a diverse range of species and offer important ecological services. In recent decades, mangrove forests in Africa have been experiencing drastic degradation and decline in population due to heavy anthropogenic pressures and climate change-induced sea level rise. To ensure the future long-term well-being of these unique ecosystems, and to reflect past conservation efforts, quantitative analysis of the past and current mangrove forest condition on a regional scale is much needed. In this study, we chose to conduct systematic mapping of mangrove forests along the Lower Casamance River region, using Google Earth Engine Mangrove Mapping Methodology (GEEMMM), for the years 1990 and 2021. Overall, we achieve a validation accuracy of 87.13% for the 2021 classification and 90.25% for the 1990 classification. Our study found that, across our study regions, there was a net loss of 123.99 km2 in our open-canopy mangrove I class and a net gain of 63.04 km2 in our closed-canopy mangrove class. This suggested that while some areas had seen a slight increase in mangrove populations either due to natural regeneration or ongoing conservation efforts, the overall mangrove forests in our study region had experienced major mangrove forest degradation. Furthermore, the majority of mangrove forest loss happened within 10km of the shoreline, suggesting that fishing activity might be one of the biggest contributors to mangrove forest loss.
DOI: 10.14288/1.0439797
title: A Climate Suitability Analysis for Western Hemlock: Modeling Future Occurrence Probability of Tsuga heterophylla at the UBC Vancouver Campus

description: To manage future green spaces on campus and adopt to the changing climate, the Social Ecological Economic Development Studies (SEEDS) program of the University of British Columbia (UBC) organized a series of projects to predict the climate suitability (occurrence probability) of some common tree species existing at the UBC Vancouver campus by 2100. With a generally low climate suitability, coniferous trees are more vulnerable to the change of precipitation and temperature, and climate change is threatening the growth of coniferous trees in British Columbia, Canada. Western hemlock (Tsuga heterophylla) is a common coniferous tree species occurring at UBC Vancouver campus and was chosen to be analyzed in this study. The analysis of climate suitability was done using a MaxEnt model. As a machine-learning algorithm not requiring data about absent points, MaxEnt is considered to be a good tool for predicting the distribution of species. There were 19 bioclimatic variables tested in the analysis, and the precipitation in the coldest quarter of the year was determined to be the most important climatic variable affecting the growth of Western hemlock. The results showed that the occurrence probability of Western hemlock would drop from its current ~87% to ~10% under one of the most likely climate models in 2100. Although this result could not represent the real occurrence probability of Western hemlock by the end of the century due to the limited data and variables considered (climate only), this study provided a reference for future climate suitability analysis at UBC Vancouver campus of other tree species and could potentially help with the protection of existing Western hemlock at the campus.
DOI: 10.14288/1.0439801
title: Comparing the Level of Carbon Sequestration Capability of Different Soft Landscape in UBC

description: This study aims to estimate the carbon sequestration rates of soft landscapes in the University of British Columbia Vancouver campus and compare their carbon sequestration capacity. The significance of carbon sequestration rates in soft landscapes is discussed in the context of urban planning and the role of vegetation in mitigating climate change. LiDAR data and aerial photos estimate above-ground carbon sequestration and GIS and R are used for data analysis. The research objectives are to compare the attributes of different soft landscapes, calculate their carbon sequestration rates, identify which soft landscapes have the highest carbon sequestration capacity, and discuss the study's limitations and possible improvements for future research. The proposed methods include data pre-processing, developing a canopy height model, and estimating carbon sequestration capacity for each soft landscape area. The study suggests optimizing urban soft landscape services to increase carbon storage in UBC and Vancouver.
DOI: 10.15468/dl.cfzuga
title: Occurrence Download

description: A dataset containing 42681 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (antioquia)",
 "TaxonKey is one of (Mammalia)"
 ]
 }
 ]
}

 The dataset includes 42681 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012136-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21979/n9/hoaful
title: Replication Data for: Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events

description: BlackSwanSuite is a benchmark for evaluating VLMs’ ability to reason about unexpected events through abductive and defeasible tasks. The tasks either artificially limit the amount of visual information provided to models while questioning them about hidden unexpected events, or provide new visual information that can change an existing hypothesis about the event. It contains over 3,800 MCQs, 4,900 generative, and 6,700 yes/no questions spanning 1,655 videos.
DOI: 10.5281/zenodo.18251566
title: Carduus pycnocephalus L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.18251567
title: Carduus pycnocephalus L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.15468/dl.33y34z
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Galeopsis tetrahit"
 ]
}

 The dataset includes 34 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010616-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7bh53u
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.44.66_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010615-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18251570
title: Carduus tenuiflorus Curtis. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.18251569
title: Carduus tenuiflorus Curtis. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.18251574
title: Carelia Less. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.5281/zenodo.18251575
title: Carelia Less. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:43
DOI: 10.15468/dl.wnns5v
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((63.65204 27.27208,127.34796 27.27208,127.34796 52.72792,63.65204 52.72792,63.65204 27.27208))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Kalidium cuspidatum"
 ]
}

 The dataset includes 194 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010617-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18242948
title: Dataset associated with the recently submitted AGU manuscript "High-Precision Modelling of Global Three-Dimensional Oceanic Tide-Induced Electromagnetic Fields: A Hybrid FE-IEE Approach on Unstructured Tetrahedral Meshes"

description: The dataset contains the numerical results and plotting scripts related to the recently submitted AGU manuscript “High-Precision Modelling of Global Three-Dimensional Oceanic Tide-Induced Electromagnetic Fields: A Hybrid FE-IEE Approach on Unstructured Tetrahedral Meshes”.
DOI: 10.5281/zenodo.18242949
title: Dataset associated with the recently submitted AGU manuscript "High-Precision Modelling of Global Three-Dimensional Oceanic Tide-Induced Electromagnetic Fields: A Hybrid FE-IEE Approach on Unstructured Tetrahedral Meshes"

description: The dataset contains the numerical results and plotting scripts related to the recently submitted AGU manuscript “High-Precision Modelling of Global Three-Dimensional Oceanic Tide-Induced Electromagnetic Fields: A Hybrid FE-IEE Approach on Unstructured Tetrahedral Meshes”.