cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp3/g30cmv
title: Comparison of Methods of Multi-Source Remote Sensing Estimations of Aboveground Biomass of Tropical Rainforests in Kwahu South, Ghana

description: Aboveground biomass (AGB) is an important metric in forest carbon analysis, allowing for continuous monitoring of changes in biomass over time. Field measurements to provide accurate assessments of these metrics are cost and time-prohibitive, although remote sensing can gather this information quickly and more affordably, and with machine learning models they can achieve robust estimations of AGB. A random forest algorithm can extrapolate AGB from the International Space Station's Global Ecosystem Dynamics Investigation (GEDI) point clouds, digital elevation models, and satellite optical imagery. While there are limited options for freely available LiDAR and DEMs, there are multiple sources of optical imagery available. Using machine learning, multiple sources of optical remote sensing data may provide more precise estimations of AGB compared to single source estimates. A comparison was made between AGB estimations derived from Landsat-8, Sentinel-2, a combination of Landsat-8 and Sentinel-2, and the AGB product of Chloris Geospatial, which uses these sources in their model. Multi-source optical remote sensing models were found to have higher AGB estimates than single-source optical methods, as evidenced by a higher R² when combining Landsat-8 and Sentinel-2 data with GEDI. While the single-source model performed well, this study indicates that integrating multiple datasets enhances the ability to capture AGB variations more effectively. However, this approach comes with trade-offs, including a higher RMSE, suggesting that while multi-source models improve correlation with observed data, they also introduce greater variability in predictions. Future research should refine GEDI calibration and explore optimal data integration thresholds for balancing accuracy, uncertainty, and cost-effectiveness in biomass estimation models.
DOI: 10.5683/sp3/83dzwf
title: Replication Data for: Variability in Androgen-Mediated Development Among Gay Men: Insights Based on Digit Ratios, Height, and Leg Length

description: Replication data for "Variability in Androgen-Mediated Development Among Gay Men: Insights Based on Digit Ratios, Height, and Leg Length"
DOI: 10.5683/sp3/ouyhla
title: Dataset for Correlation of fecal calprotectin levels with the detection of treatable enteric pathogens in children with severe acute diarrheal disease in Botswana

description: Dataset applicable to manuscript titled 'Correlation of fecal calprotectin levels with the detection of treatable enteric pathogens in children with severe acute diarrheal disease in Botswana.' PLoS ONE.
DOI: 10.5683/sp3/zj03sx
title: Soil Temperature (5 cm) Records from Agricultural Weather Stations in Canada Aligned with Sentinel-1 Overpasses (October to June, 2016-2023)

description: This dataset contains soil temperature measurements at a depth of 5 cm from agricultural weather stations across four Canadian provinces: Alberta, Manitoba, Saskatchewan, and Québec. The data spans from October 2016 to June 2023 and is aligned with Sentinel-1 SAR overpasses. The dataset provides comprehensive spatial coverage, with records from 174 weather stations situated in diverse agricultural and climatic conditions. It is primarily intended for research in freeze-thaw detection. 
The dataset includes the latitude and longitude of each weather station, crop type data from Agriculture and Agri-food Canada annual crop inventory, and soil type data from the Detailed Soil Survey (DSS) of the National Soil Database (NSDB), supplemented by digital soil mapping from the World Soil Information Service (WoSIS). The soil temperature data is available based on the temporal resolution of Sentinel-1 overpasses at each given station. For more information, refer to the ReadMe file.
description: This section will be completed as the article titled "Machine Learning-Driven surface Freeze-Thaw Retrieval Across Canadian Agricultural Regions Using Sentinel-1 SAR Data" is submitted to the "International Journal of Applied Earth Observation and Geoinformation".
DOI: 10.34740/kaggle/dsv/13800606
title: World Weather Repository ( Daily Updating )
DOI: 10.5683/sp3/nkra39
title: Beep-Beep SIM Data

description: This is the dataset has two tabs in the spreadsheet. The first tab is for the Beep-Beep SIM pilot, and the second tab has student ratings of the Beep-Beep SIM curriculum when it was implemented from 2019-2023. For the Beep-Beep SIM pilot, after medical students completed the program, they reflected upon their pre-/post-session confidence on several learning objectives. They were to rate on a scale from 1-5 (1=no confidence, 3=neutral, 5=strong confidence). For student ratings, students rated the session on a scale from 1-5 (1=poor, 2=fair, 3=good, 4=very good, 5=excellent). Students rated both in-person and virtually offered sessions.
DOI: 10.5683/sp3/zozgrp
title: Supplemental data for: Evaluating the change in immunoglobulin G and accuracy of assessing transfer of passive immunity during the first 7 d of age in Holstein dairy calves fed colostrum replacer

description: This file contains a supplementary table describing the number of IgG samples available from each treatment within each study dataset that was used to evaluate the change in IgG throughout the first 7 d of life in Holstein dairy calves fed colostrum replacer.
description: Microsoft Excel
description: Stata, 18
DOI: 10.5683/sp3/eneiek
title: Experience API Teamwork Profile

description: The Experience API (xAPI) is a standardized reporting format for activity metrics to be recorded in a Learning Records Store. This xAPI Profile describes various forms of online teamwork and the associated activities
description: OLab
description: Information about OLab4 is available at https://olab.ca

Information about OLab3 is available at https://openlabyrinth.ca
description: Since 2012, this case has been played 15095 times.
DOI: 10.5683/sp3/c9wooq
title: COSMIN Scoring Form

description: COSMIN scoring form for the child bilingualism measures
DOI: 10.15468/dl.x6t4p7
title: Occurrence Download

description: A dataset containing 2494 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.05955574191397",
 "DecimalLongitude is less than 7.06261529509837",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2494 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046908-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/6uj59w
title: Tests of goal-directed control in SHR rats

description: dataset for tests of goal-directed control in SHR rats
DOI: 10.5683/sp3/lcog2g
title: Replication Data for: No Data? No worries! How image generation can alleviate image scarcity in wildlife surveys: a case study with muskox (Ovibos moschatus)

description: This repositery contains all images (that can be publicly shared), annotation data in the form of JSON files and Python scripts used to produce the paper "No Data? No worries! How image generation can alleviate image scarcity in wildlife surveys: a case study with muskox (Ovibos moschatus)".
DOI: 10.15468/dl.a696df
title: Occurrence Download

description: A dataset containing 564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myrcianthes fragrans"
 ]
}

 The dataset includes 564 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046909-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/iivgob
title: Structural and genetic determinants of zebrafish functional brain networks

description: This dataset was generated at CERVO Brain Research Centre to investigate the functional connectivity of the larval zebrafish brain. It comprises whole-brain calcium imaging data collected from 5-7 days post-fertilization (dpf) transgenic larval zebrafish expressing a nuclear-localized pan-neuronal calcium indicator Tg(elavl3:H2B-GCaMP6s), as well as synchronized tail movement recordings. Using a Scientifica SliceScope resonant two-photon microscope and a piezo-driven 16x water-dipping objective, we imaged neuronal activity across 21 planes approximately 12 microns apart. The larvae were embedded in agarose, and neuronal activity was recorded either spontaneously or while delivering visual stimuli (dark/light periods) and simultaneously capturing tail movement at 399.75 frames per second using infrared illumination and a high-speed camera positioned below the imaging chamber. The files and their contents are described in a README.txt file located within the repository.
DOI: 10.5683/sp3/s6xue3
title: Replication data for: ATP synthase inhibition, an overlooked confounding factor in the mitochondrial stress test - statistical analysis supplement

description: The mitochondrial stress test, a widely used procedure to study energy metabolism using extracellular flux analysis, involves the inhibition of ATP synthase (a.k.a. complex V [CV]). This inhibition was recently shown to cause a glycolysis-dependent underestimation of two key mitochondrial respiration parameters, maximal respiration (MR) and spare respiratory capacity (SRC), in tumor cells. However, it is unknown if test substances (toxins, drugs, signaling molecules, etc.), especially those affecting glycolysis, can impact the underestimation of MR and SRC caused by CV inhibition and thereby produce potentially erroneous results. The objective of the present study was to determine if the inhibition of CV in the mitochondrial stress test can act as a confounding factor when measuring MR and SRC in intact non-tumor cells exposed to
exemplificatory test substances that affect energy metabolism: Ni2+ 56 and lipopolysaccharides (LPS). Murine bone marrow-derived macrophages were exposed to Ni2+ 57 (0–72 ppm) or LPS (1 µg/mL), and oxygen consumption rates were measured by extracellular flux analysis using the mitochondrial stress test, with and without CV inhibition. Results showed that CV inhibition masked the decrease in MR induced by Ni2+ 60 or LPS. It also caused the statistically non-significant decrease of SRC induced by Ni2+ 61 to present as an increase, and the LPS-induced decrease of SRC to be masked. Results also showed that these erroneous results arose because exposure to Ni2+ 62 and LPS reduced the underestimation of MR and SRC caused by CV inhibition. This phenomenon was associated with increased glycolytic. Finally, results confirmed that underestimation of MR and SRC induced by CV inhibition can occur in non-tumor cells. In conclusion, the present study demonstrates that CV inhibition can act as a confounding factor leading to erroneous conclusions when the mitochondrial stress test is used with intact cells exposed to test substances
DOI: 10.5683/sp3/onu05p
title: Replication Data for: Evaluating Carbon Baselines in Kwahu South: A Comparison of VM0047 and Open Forest Protocol

description: Forests are essential for climate change mitigation, acting as carbon sinks by absorbing carbon dioxide. Remote sensing, particularly through Landsat 8’s 30m resolution imagery, facilitates consistent, large-scale monitoring of forest cover and biomass changes, crucial for precise carbon stock assessments in reforestation efforts. However, differences in baseline estimation methodologies complicate these evaluations. This study analyzes forest change and carbon dynamics in deforested areas of Kwahu South, Ghana, from 2014 to 2024, comparing Verra VM0047 and Open Forest Protocol (OFP) approaches. Landsat’s fine-scale resolution enabled accurate tracking of deforestation and regrowth patterns. VM0047 employs a dynamic performance benchmark, updated periodically, capturing biomass fluctuations (e.g., -1.5 in 2015 to 1.0 in 2023), while OFP uses a static, tree-focused baseline, 
yielding near-zero estimates due to initial low tree cover (4.56%). A t-test (p = 0.449) 
validated the control site’s suitability. Results highlight VM0047’s adaptability to ecological variability versus OFP’s conservative simplicity, informing reforestation strategies in deforestation-prone regions.
DOI: 10.5683/sp3/ppdpiu
title: Assessing the Impact of the University of British Columbia Campus Vision 2050 on Eastern Grey Squirrel Habitat Suitability in Acadia Park
title: A LiDAR and Minetest-Based Approach

description: Urban development is a leading driver of habitat fragmentation, with significant implications for wildlife in growing cities. This research investigates how projected urban expansion under the University of British Columbia’s Campus Vision 2050 may impact Eastern Grey Squirrel habitat suitability in Acadia Park, a residential neighborhood on the University of British Columbia Vancouver campus. The objective was to assess changes in habitat quality and connectivity using high-resolution Light Detection and Ranging data and visualize these changes through an interactive 3D model. Individual trees were identified using segmentation algorithms applied to 2022 Light Detection and Ranging data, and habitat suitability was evaluated using four ecological metrics: Nearest Neighbor Distance, Proximity Index, Convex Hull Area Index, and Height Index. These metrics were combined to produce a Habitat Suitability Index (HSI) for each tree. Results indicate a 4.0% reduction in tree count and an 8.2% loss in canopy volume between 2021 and 2050. High-suitability habitat (HSI ≥ 0.6) declined by 19.57%, while low-suitability areas increased by 1.9%, signaling greater habitat fragmentation. Although medium-suitability habitat remained relatively stable, connectivity between habitat patches weakened. A voxel-based visualization in Minetest revealed increasing gaps in the canopy, particularly in areas slated for future construction. These findings highlight that the loss of connectivity, rather than overall tree count, poses a greater risk to urban wildlife. By combining geospatial analysis with interactive modeling, this study offers a replicable approach for visualizing habitat change and supports the integration of ecological data into sustainable campus planning.
DOI: 10.5683/sp3/upwobw
title: Integrating LiDAR (Light Detection and Ranging) and Camera Traps to Assess the Influence of Three-Dimensional Forest Structure on Mammal Habitat Use in Coastal Western Hemlock Forests

description: Global forest degradation and habitat loss caused have induced the need for advanced methods to assess forest quality and how would these change impacts on animals. Although extensive research has focused on responses of birds to habitat change, the influence of forest structure on mammals has remained underexplored. In southwestern British Columbia, Malcolm Knapp Research Forest and Golden Ears Provincial Park were selected as representative study areas, characterized by temperate coniferous forests that are subject to both anthropogenic disturbances and natural variability. This study aimed to determine the relationship between mammal presence and abundance to forests structures by using camera traps with airborne laser scanning. Detailed three-dimensional measurements of canopy height, vertical complexity, and terrain ruggedness were derived from laser scanning data, while camera traps provided continuous, non-invasive records of mammalian activity. Results showed that black-tailed deer abundance increased with steeper slopes and rugged terrain. Bobcat abundance was higher in areas with taller, more complex canopies. Snowshoe hare abundance declined where understory density was greater. Shrub connectivity reduced overall mammal and black bear abundance, though larger shrub patches were associated with higher numbers. These results indicated that heterogeneity in forest structure is a key factor in sustaining wildlife populations. The use of remote sensing not only enhanced the spatial coverage and accuracy of habitat assessments compared to traditional field surveys but also provided a scalable approach for ecological monitoring. These findings offer important insights for conservation planning and forest management, emphasizing the need to consider structural habitat features when developing strategies to protect understudied mammalian species.
DOI: 10.5683/sp3/fowmwu
title: Modelling of hydraulic impacts arising from wipe-caused blockages in sewers

description: This dataset contains laboratory experimental measurements of the Hydraulic Grade Line (HGL) in a 200 mm diameter PVC sewer pipe under various simulated blockage conditions and flow rates. The experiments were designed to assess the impact of wet wipe-induced blockages on upstream hydraulic behaviour.

Key Features:
Blockage Sizes: 10, 15, 20, 25, and 30 wipes
Flow Rates: 2.5 L/s, 10 L/s, and 27 L/s
Measurement Intervals: HGL data recorded at 1-meter intervals upstream of the blockage location
DOI: 10.5683/sp3/es7gdm
title: RTgill-W1 Assay - Optimization and Effluent Testing

description: This dataset is divided into folders designating which experiment the results were generated from. The 'effluent' experiments assessed the ability of the RTgill-W1 assay to detect toxic effluent samples by comparing method sensitivity to the standardized fish acute lethality test (EPS 1/RM/13) and examining potential investigated matrix effects of the RTgill-W1 assay. The 'optimization' experiments were conducted to assess the potential impacts of optimizations to make the assay more suited for commercial and regulatory labs.
description: Effluent data will be added once data collection is complete.

2025-08-25: Effluent data has been added.
DOI: 10.5683/sp3/ariu17
title: SMB_Smoke_WinterTelemetry

description: An acoustic telemetry dataset with code and analysis of tagged smallmouth bass in Smoke Lake, Algonquin Park, Ontario, during three winters. The purpose of this study was to analyze inter-annual variation in overwintering behaviours (depth/temperature occupancy, activity, space use) in relation to temperature conditions.
DOI: 10.5683/sp3/8ou83a
title: Influence of Aspen Serpentine Leafminer (Phyllocnistis populiella) on Burn Severity In Trembling Aspen (Populus tremuloides)

description: Trembling aspen (Populus tremuloides) is a fire-resilient tree species, making its role increasingly important as wildfire seasons intensify in British Columbia, Canada. However, forest pests like the aspen serpentine leafminer (Phyllocnistis populiella) raise concerns about their potential to alter fire behavior by affecting forest structure and fuel conditions. This study evaluates whether leafminer outbreaks influence burn severity in aspen-dominated stands of northeastern British Columbia. Using provincial and federal datasets from 2010 to 2020, fire-affected aspen stands were analyzed at a 200 m resolution, comparing areas with and without prior leafminer outbreaks. A random forest model assessed the effect of leafminer presence on burn severity, measured by the differenced Normalized Burn Ratio (dNBR), while controlling for 11 climate, topography, and vegetation variables. Among 10,326 aspen-dominated burn pixels, 21% showed leafminer presence. The model achieved an R² of 0.84, with surrounding mean dNBR exerting the greatest influence on model performance, while leafminer presence had the least effect. Burn severity was slightly lower in leafminer-affected areas, with a mean dNBR decrease of 0.03. Additionally, higher trembling aspen percentage and climate conditions favorable to aspen growth were strongly associated with reduced burn severity. These findings suggest that while the leafminer’s impact on burn severity is minimal, finer-scale analyses or investigations of outbreak severity may reveal more nuanced effects on aspen fire resilience.
description: R Studio, 4.5.0
description: ArcGIS Pro, 3.3
description: VS Code, 1.98
description: Open source dataset from the Federal Government of Canada and the Province of British Columbia.
DOI: 10.5683/sp3/unztih
title: Comparison Between Sentinel-2 and Landsat in Mapping Mangroves in The Gambia Using the Google Earth Engine Mangrove Mapping Methodology (GEM v2)

description: Mangroves play a vital role in coastal environments by supporting biodiversity, protecting shorelines, and storing carbon. However, these ecosystems are under growing pressure from land use change, development, and rising sea levels. Monitoring changes in mangrove cover is essential for guiding conservation and management efforts, but on the ground, methods are often time-consuming, expensive, and difficult to carry out across large or remote areas. This is where remote sensing offers a practical solution. By using satellite imagery, it becomes possible to track changes in mangrove extent over time, detect patterns of loss and regrowth, and support decision-making at both local and national levels.
This study compared the effectiveness of Sentinel-2 and Landsat satellite data in mapping mangrove dynamics in The Gambia, using the Google Earth Engine Mangrove Mapping Methodology version 2 (GEM v2) from Blue Venture, a marine and conservation organization. A Random Forest classifier was applied to classify land cover types, and the accuracy of each dataset was evaluated. Sentinel-2 was better at detecting small, detailed changes, including narrow strips of loss and early signs of regrowth. Landsat, while less detailed, provided more stable classifications across broader areas. Sentinel-2 also showed greater variation in spectral data, which led to more classification errors in some mangrove classes, while Landsat maintained higher overall accuracy.
The results show that both datasets have strengths, Sentinel-2 is well-suited for close-up monitoring of small-scale changes, while Landsat is reliable for long-term, large-scale analysis. A combined approach using both sensors may offer the complete overview of mangrove change. Future studies should consider using field data from the same area to improve classification accuracy and support more effective monitoring and protection of mangrove ecosystems.
description: Google Earth Engine
description: QGIS, 3.38.2
description: Remote sensing satellite imagery (Sentinel-2 and Landsat), selected from January to April for each year between 2019 and 2024 to minimize cloud cover.