cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp3/3rjvmy
title: Replication Data for: Raising Laying Hens: housing complexity and genetic strain affect startle and behavioural response to fear stimuli

description: In this paper, we asked whether the degree of early complexity (minimal, low, moderate, or high), genetic strain (brown vs white feathered), or their interaction affects fear behaviour (type and intensity) in laying hen pullets in different fear-inducing situations: 1) a startle response test, 2) a novel arena, and 3) a novel object test.
description: Effect of rearing aviary design on pullet development
DOI: 10.5683/sp3/lif1pz
title: Gene editing in animals: What does the public want to know?

description: We aimed to describe the questions people pose about gene editing (GE) in animals as a novel approach to understanding public knowledge of GE. We also compared our participants’ questions with those listed on Frequently Asked Question (FAQ) webpages hosted by GE organizations. Participants (338 US residents) most frequently asked questions centered on seeking general information about GE and about animal welfare (29% and 26% of all questions asked, respectively). In contrast, organizational FAQs primarily focused on regulations (32% of FAQs posed and answered on these webpages). The actual questions people asked provide data on the variable knowledge they bring to the topic and illustrate that people are curious about a range of related issues. We conclude that acknowledging the actual questions that the public bring to the debate around technology use can be used to advance public engagement efforts.
DOI: 10.5683/sp3/cfrgaq
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: 10.5683/sp3/1pu0gb
title: Functional Habitat Connectivity Analysis for the Township of Langley, British Columbia

description: In response to the growing concern of loss of biodiversity due to global urbanization, much research has investigated its influence on habitat connectivity, yet little is known about the functional habitat connectivity of the Coastal Douglas-fir (CDF) and the Western Hemlock (CWH) BEC Zone in urban areas. This study aimed to assess the functional habitat connectivity of the Township of Langley in British Columbia, Canada, to facilitate urban planning and urban biodiversity conservation. Using lidar-derived and land cover data, quantified habitat connectivity was quantified with the probability of connectivity index (PC) for three species (the western red-backed salamander, the American red squirrel, and the brown creeper) with different habitat requirements and mobility. Suitable habitat patches were filtered and selected based on the habitat requirements of each species, and habitat networks were generated considering dispersal distance to model the connectivity index in the Conefor software. Key patches, hub patches, and key-hub patches were identified based on the patch importance level generated from Conefor. The study found a large variance in PC and distribution of important patches among species in the landscape. The major connectivity corridor, identified according to the distribution of key-hub patches for all species, showed some important areas for overall connectivity improvement. Despite limitations on timeliness, computational power and consideration of dispersal barriers, this study enhances understanding of local-scale connectivity and offers guidance for urban planners and developers seeking to incorporate biodiversity conservation in decision-making. Identification of key patches, hub patches, and key-hub patches also highlights potential areas for habitat preservation, which is particularly relevant for urban green infrastructure design that supports both human well-being and biodiversity conservation.
DOI: 10.5683/sp3/ga1o3m
title: Search strategies for "Street-Involved Youth"

description: Search strategies for database searches for APA PsycInfo (EBSCO), Medline (Ovid), Scopus (Elsevier), and Sociological Abstracts (ProQuest) to accompany the publication titled "Street-involved youth" which incorporated a scoping review methodology. The search strategies contained two search concepts: Street youth, and housing interventions.
DOI: 10.5683/sp3/i85naw
title: Using Campus-wide LiDAR to Map and Characterize Understory at the University British Columbia Vancouver Campus

description: In response to the pressing need to address biodiversity loss and mitigate the impacts of climate change, recent studies have explored the role of understory vegetation in urban green spaces. Despite its importance, understory vegetation is often ignored in current inventories of urban green spaces. The University of British Columbia (UBC) seeks to characterize understory vegetation on campus and apply strategies for mitigating the climate change effect in specific hot spot areas. This study investigated the understory community of the UBC Vancouver campus by (1) mapping the height and height variation of the understory plant in the northern part of the UBC Vancouver campus by extracting campus-wide LiDAR data, and (2) generating complexity analysis near Saltwater residences based on field observation and height data retrieved from the LiDAR point cloud. Four metrics were identified to characterize understory structure complexity, including understory coverage, height variation, understory species diversity, and species rarity. Results indicate that over 50% of the understory in the study area was less than 0.8 meters in height. While understory plants grown near buildings showed relatively higher height variability (ranging from 0.35 to 0.69m), the distribution of understory height was not dependent on spatial location, and there was no clear pattern of similarity in the structural complexity between neighboring areas on the UBC campus. More species with a higher ecological value such as the Tall Oregon grape could be planted near saltwater residences to better combat climate change. Overall, this study demonstrates the potential of LiDAR to model and visualize understory vegetation structure and provides a methodology for conducting its structural analysis on the UBC Vancouver campus.
description: ArcGIS Pro, 2.9.0
description: R studio, 1.3.959
DOI: 10.5683/sp3/n33nv6
title: Accuracy of testing strategies using ELISA tests on repeated bulk tank milk samples and/or sera of individual animals for predicting herd status for Salmonella Dublin in dairy cattle

description: This dataverse contains the 2 datasets and the R scripts (n=3) associated with an article titled: "Accuracy of testing strategies using ELISA tests on repeated bulk tank milk samples and/or sera of individual animals for predicting herd status for Salmonella Dublin in dairy cattle " (accepted for publication in Preventive Veterinary Medicine).
DOI: 10.5683/sp3/4vkbky
title: Replication Data for: Rearing Laying Hens: environmental complexity and genetic strain affect pullet but not chick performance in a T-maze learning task

description: We used two learning tests to test three hypotheses using chicks and pullets of brown and white layer strains reared in cages and aviaries of varying complexity. 1) Does increased spatial complexity during early life improve the performance of laying hen chicks/pullets in a T-maze? 2) Does chick/pullet performance in a two-dimensional learning task differ between genetic strains? 3) Is there an interactive effect of genetic strain and rearing environment on performance in the tasks?
description: Effect of rearing aviary design on pullet development
DOI: 10.5683/sp3/dqcuzv
title: Witless Bay 2021

description: This survey was carried out in Witless Bay, as part of a research program to increase knowledge about the distribution of kelp habitat.
description: ArcGIS Pro, 3.0.3
description: Agisoft Metshape, 1.7.3
description: ImageJ, 1.53e
description: Distribution and abundance of kelp, rhodoliths, and co-occurring benthic assemblages in coastal Newfoundland and Labrador
DOI: 10.5683/sp3/w8kkf9
title: Supplemental table and file (survey) for a study investigating barriers to recording calf health data

description: An online survey was completed by a convenience sample of 88 dairy farms in Ontario, Canada, to investigate barriers for dairy farmers for recording calf illnesses and treatments.
description: STATA, 17.0
DOI: 10.5683/sp3/9u4nlz
title: Chance Cove 2022

description: This survey was carried out in Chance Cove, as part of a research program to increase knowledge about the distribution of kelp and rhodolith habitats.
description: ImageJ, 1.53e
description: ArcGIS Pro, 3.0.3
description: Agisoft Metashape, 1.7.3
description: Distribution and abundance of kelp, rhodoliths, and co-occurring benthic assemblages in coastal Newfoundland and Labrador
DOI: 10.5683/sp3/3eugns
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.
description: Datasets associated and created to complete analysis employed in this research project.
description: ArcGIS Pro, 3.0.3.
DOI: 10.5683/sp3/ua19nl
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: 10.5683/sp3/qzfgvz
title: Flatrock 2022

description: This survey was carried out in Flatrock, as part of a research program to increase knowledge about the distribution of kelp habitat.
description: Distribution and abundance of kelp, rhodoliths, and co-occurring benthic assemblages in coastal Newfoundland and Labrador
description: ImageJ, 1.53e
description: ArcGIS Pro, 3.0.3
description: Agisoft Metashape, 1.7.3
DOI: 10.5683/sp3/sivugu
title: Bay Bulls 2021

description: This survey was carried out in northern part of Bay Bulls, as part of a research program to increase knowledge about the distribution of kelp habitat.
description: ImageJ, 1.53e
description: ArcGIS Pro, 3.0.3
description: Agisoft Metashape, 1.7.3
description: Distribution and abundance of kelp, rhodoliths, and co-occurring benthic assemblages in coastal Newfoundland and Labrador
DOI: 10.5683/sp3/obwuiz
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: 10.5683/sp3/xey9wu
title: Decadal Grid Analysis of Landscape Metrics for Provincial Parks of British Columbia

description: Provincial parks of British Columbia are protected for their high ecological, cultural, and recreational values. With climate change exacerbating, more frequent and severe disturbances are anticipated to cause land cover alteration in provincial parks, leading to loss of habitat and ecosystem services. It’s crucial to develop an overarching understanding of how parks’ spatial configuration changed in the past to make informed and proactive management decisions. Using the "landscapemetrics" package in R, the project computed class-level landscape metrics on 1 km by 1 km grids to quantitatively analyze decadal changes in spatial configuration of forests and shrubs in E.C. Manning Park, Mount Robson Park, Tweedsmuir Park, and West Arm Park from 1989 to 2019. The metrics were tested to characterize landscape metrics of the park edge along the boundary versus the park interior. The metrics highlighted the spatial distribution and shape complexity of forests and shrubs and time frames during which noticeable land cover alterations occurred. The results provided spatial, temporal, and statistical insights into the landscape dynamic over the decades and showed that future park management could benefit from accounting for the spatial variation of the landscape configuration within parks by developing area-specific ecosystem restoration strategies.
DOI: 10.5683/sp3/gzqxvc
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.
description: R Studio, 2022.07.2+576 "Spotted Wakerobin" Release (e7373ef832b49b2a9b88162cfe7eac5f22c40b34, 2022-09-06) for Windows Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) QtWebEngine/5.12.8 Chrome/69.0.3497.128 Safari/537.36
description: ArcGIS, 2.9.5
DOI: 10.5683/sp3/irhxnf
title: An assessment of the toxicity of pesticide mixtures in periphyton from agricultural streams to the mayfly Neocloeon triangulifer

description: Ontario’s streams are susceptible to pesticide pollutants which are transported outside of the intended area of application from surrounding agricultural fields. Periphyton are a vital dietary component for grazing organisms in aquatic ecosystems but can also accumulate substantial levels of pesticides from the surrounding water. Consequently, grazing aquatic organisms are likely subjected to pesticide exposure through the consumption of pesticide contaminated periphyton. The objectives of this study were to determine if pesticides partition into periphyton in riverine environments across Southern Ontario, and if so, to determine the toxicity of pesticides in periphyton when fed to the grazing mayfly Neocloeon triangulifer. Ten sites across Southern Ontario were sampled between May-September 2021. Sites with low, medium, and high pesticide exposure based on historic water quality monitoring data were selected to incorporate a pesticide exposure gradient into the study design. Artificial substrate samplers were utilized to colonize periphyton in situ, which was then analyzed for the presence of ~500 pesticides. Results from this study demonstrate that periphyton is capable of accumulating pesticides in agricultural streams. A novel, 7-day toxicity test method was created to investigate the effects of pesticides partitioned into periphyton when fed to N. triangulifer. Periphyton collected from the field sites were fed to N. triangulifer and survival and biomass production were recorded. Survival and biomass production significantly decreased when fed periphyton colonized in streams with catchments dominated by agricultural land use (p&lt;0.05). However, the relationship observed between pesticide concentration and survival or biomass production was not consistent. Using field colonized periphyton allowed us to assess dietary toxicity of environmentally relevant concentrations of pesticide mixtures, however nutrition and taxonomic composition of the periphyton may vary between sites. We recommend future research to simulate individual pesticide exposures to periphyton in the laboratory prior to performing these novel dietary toxicity assessments.
DOI: 10.5683/sp3/j2w1tb
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: 10.5683/sp3/vrptug
title: Data for paper entitled "Serotonin increases population coding of behaviorally relevant stimuli by enhancing responses of ON but not OFF-type sensory neurons"

description: Data used for the analysis of neural and behavioral responses to envelopes before and after raphe stimulation. Includes baseline and responses to noise