cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14288/1.0413112
title: Paths and Barriers Identification: Algorithm based on LiDAR data

description: The wayfinding system is important for the people on campus. However, the existed wayfinding system of UBC does not consider some walkable paths which are not shown on the street map. Also, the wayfinding system ignores the barriers like stairs, which could be obstacles for wheelchair users, on the paths. LiDAR is developed rapidly in recent years. It can collect the elevation information of the objectives on the ground. University of British Columbia (UBC) collects and publishes the LiDAR dataset of campus every year. This project uses the elevation and the point intensity information from the LiDAR point dataset to identify the walkable paths and the barriers on the paths. Two algorithms are announced. The first one is the intensity-based path identification algorithm, which assumes that the concrete paths have a homogenous intensity. Another algorithm is the barrier identification algorithm, which is based on the Canny edge detection algorithm. As a result, the two algorithms both work well in the research area, and they have the potential to be developed as an automatic process and can be one part of the wayfinding system.
DOI: 10.14288/1.0413205
title: Determining Floodplain Characteristics Using Active Remote Sensing

description: Currently, light detection and ranging (LiDAR) scans have been used to produce 1m & 5m digital elevation models (DEMs) throughout many important drainages across the province and are ideal candidates to effectively inform vegetation classification within floodplain and riparian ecosystems. These ecosystems are highly influenced by fluctuating freshwater regimes and are invaluable in providing, regulating, and supporting various ecosystem functions. This paper explored the extent that various floodplain characteristics, including bench heights and overall floodplain extent, can be modelled using a readily available 1m DEM within the Date Creek Research Forest (DCRF) in northwestern British Columbia (BC), Canada. Stream paths were derived from a flow accumulation analysis of the DEM. These paths highlighted how the pre-existing river feature network, the Freshwater Atlas, differed up to 230.8m, with a median distance between segments being 23.4m. Bench height transition areas were easily identifiable considering slope and curvature, yet further research is needed to classify areas of the varying benches across the landscape. The Height Above Nearest Drainage (HAND) method was used to assess floodplain extent using peak water depth values observed at nearby water survey of Canada hydrometric stations. Overall, the HAND method is limited to generating water height along flow paths that drain into the main stream, and such are inaccurate in demonstrating any spill over into adjacent braided river channels. This paper demonstrates the inadequacies of using the HAND method to define floodplain extent within braided river channels common throughout BC floodplains and therefore concludes that alternative methods should be employed when expanding floodplain prediction to other rivers systems within the province.
DOI: 10.14288/1.0413220
title: Polygonization of discontinuous raster classes from machine-learning predictive ecosystem mapping (PEM)

description: Biogeoclimatic Ecosystem Classification (BEC) has been applied extensively in characterizing forested ecosystems in British Columbia. With a lack of qualified vectorization method used for BEC data transformation, the main goal of this research is to polygonize discontinuous BEC raster classes into vector map with better overall effectiveness and efficiency especially regarding the linear areas. The original data input for analysis is a machine-learning BEC zone raster map of Deception Study Area located in middle BC near Telkwa, with a resolution of 5m*5m. A comprehensive comparison between vectorization algorithms in GIS applications was conducted, including different filtering, simplifying and smoothing algorithms. Since we have the original predicted BEC raster map as the performance measurement, accuracy was directly measured as the percentage of correctly classified pixels when rasterizing the polygons. The evaluation criteria include visual effect, number of polygons, linear patches accuracy processing time. We found an appropriate vectorization routine to polygonize the classification raster maps. The polygonal map using Scenario D has overall satisfactory effectiveness and efficiency with a 46% linear patch accuracy and 62,014 polygons. The method also provides good approximations of the areas with moderate processing time. This is partly because we allow vertices to be located anywhere and not just exactly on the boundary of the original raster zones. We can promote this polygonization method in future predicted ecosystem mapping (PEM) product with similar linear and discontinuous areas. Priority of several key BEC zone classification with importance level regarding to the ecosystem condition related to endangered species can be further explored and added to the algorithms to better polygonize those areas in future studies.
DOI: 10.57745/3gxwlf
title: N120301010_projection_datasheet.pdf

description: :unav
DOI: 10.57745/3ir10h
title: N712181010_projection_datasheet.pdf
DOI: 10.57745/4veebf
title: N520171001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/5jw6oh
title: N011302010_projection_datasheet.pdf

description: :unav
DOI: 10.57745/5ofovq
title: N311301010_projection_datasheet.pdf
DOI: 10.57745/7frpba
title: N120302010_projection_datasheet.pdf

description: :unav
DOI: 10.57745/7qrazr
title: N330161010_projection_datasheet.pdf

description: :unav
DOI: 10.57745/8hahds
title: N303161010_projection_datasheet.pdf
DOI: 10.57745/93yimt
title: Notice_fiche_synthese_Explore2.pdf
DOI: 10.57745/bg1x3a
title: N100151010_projection_datasheet.pdf
DOI: 10.57745/bssd1s
title: N600302002_projection_datasheet.pdf
DOI: 10.57745/cmsfna
title: Notice_fiche_synthèse.pdf

description: :unav
DOI: 10.57745/cyuzve
title: N342301020_projection_datasheet.pdf

description: :unav
DOI: 10.57745/dipc4l
title: N300161010_projection_datasheet.pdf
DOI: 10.57745/ekkd97
title: N340000000_projection_datasheet.pdf
DOI: 10.57745/f5cwff
title: N322201010_projection_datasheet.pdf

description: :unav
DOI: 10.57745/g5mgz6
title: N430521001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/g88xys
title: Notice_fiche_synthÃ¨se_Explore2.pdf
DOI: 10.57745/gejewt
title: N510171001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/goyhmn
title: N351161000_projection_datasheet.pdf
DOI: 10.57745/hcjhwd
title: N342301020_projection_datasheet.pdf
DOI: 10.57745/hiluzq
title: N330161010_projection_datasheet.pdf
DOI: 10.57745/hmweoq
title: N100151010_projection_datasheet.pdf

description: :unav
DOI: 10.57745/hodrsh
title: N120302010_projection_datasheet.pdf
DOI: 10.57745/igk5tp
title: N011303010_projection_datasheet.pdf
DOI: 10.57745/imrlaf
title: N400061001_projection_datasheet.pdf
DOI: 10.57745/jtsq5q
title: N510171001_projection_datasheet.pdf
DOI: 10.57745/kodlhi
title: N410403001_projection_datasheet.pdf
DOI: 10.57745/lxym2p
title: N411062001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/mgn0ol
title: N330411010_projection_datasheet.pdf

description: :unav
DOI: 10.57745/mj4zwx
title: N712181010_projection_datasheet.pdf

description: :unav
DOI: 10.57745/mrgoco
title: N520171001_projection_datasheet.pdf
DOI: 10.57745/mzkqrx
title: N011303010_projection_datasheet.pdf

description: :unav
DOI: 10.57745/nurtyi
title: N600302002_projection_datasheet.pdf

description: :unav
DOI: 10.57745/oig6pv
title: N351161000_projection_datasheet.pdf

description: :unav
DOI: 10.57745/qydd2b
title: N411062001_projection_datasheet.pdf
DOI: 10.57745/rtmji8
title: N303161010_projection_datasheet.pdf

description: :unav
DOI: 10.57745/sfbkmr
title: Notice_fiche_synthese.pdf
DOI: 10.57745/sh2b4y
title: N340000000_projection_datasheet.pdf

description: :unav
DOI: 10.57745/ttasgg
title: N400061001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/tw53dt
title: N311301010_projection_datasheet.pdf

description: :unav
DOI: 10.57745/uosnur
title: N410403001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/vfs6dm
title: N710181010_projection_datasheet.pdf
DOI: 10.57745/vprjpp
title: N120301010_projection_datasheet.pdf
DOI: 10.57745/wgu7fr
title: N330411010_projection_datasheet.pdf
DOI: 10.57745/xue6kx
title: N302401010_projection_datasheet.pdf

description: :unav
DOI: 10.57745/xxk2fe
title: N710181010_projection_datasheet.pdf

description: :unav
DOI: 10.57745/ycewpj
title: N300161010_projection_datasheet.pdf

description: :unav
DOI: 10.57745/ynj6dw
title: N322201010_projection_datasheet.pdf
DOI: 10.57745/you1eg
title: N011302010_projection_datasheet.pdf
DOI: 10.57745/yrvb2q
title: N430521001_projection_datasheet.pdf
DOI: 10.57745/zsk1zj
title: N302401010_projection_datasheet.pdf
DOI: 10.14288/1.0413111
title: Developing a satellite-based frost risk model for the Northern British Columbia

description: Frost, as a frequent meteorological event in Canada, can significantly impact the yield of farm crops and fruit trees, and also causes cracking of infrastructure and damage to roads and buried pipelines. Knowing the potential frost sites for the Deception Lake Study Area in northern BC is important for studying forest loss and developing reforestation plans. The Moderate Imaging Spectrometer (MODIS) night-time land surface temperature (LST) products (spatial resolution: 1 km by 1 km) from the spring (March - May) and autumn (September - November) months between 2019 and 2021 were used for extracting temperature-related frost-risk variables, including minimum temperature, mean temperature, probability of frost occurrence, frost duration and frost severity index. K-means clustering was applied to cluster each variable into high-risk areas and low-risk areas, and four clusters were issued making pixels with 4 as the highest frost-risk pixels and 1 as the lowest risk. To consider all predictive variables collectively, a raster calculator was conducted to produce a final frost-risk map. Results show that large-resolution satellite images do overpredict the frost-risk areas, and adding one constraint which is derived from a small-resolution source would increase the total accuracy by decreasing the commission error, e.g. with constraint, slope which is derived from 5 m by 5 m DEM data, the overall accuracy had been improved to 73%. The methodology developed in this study would contribute toward a spatial framework in support of reforestation and risk-management strategies.
DOI: 10.14288/1.0413218
title: Within-Ecosystem Quantification and Comparison of Treeline Advancement in Cariboo Mountain, British Columbia

description: High elevation ecotones are susceptible to the rising temperature, under current climate change crisis. This paper aims to quantify the loss of alpine habitat to treeline advancement in the mountainous areas of the Cariboo Natural Resource Region. Specifically, this study focuses on comparing the patterns and rate of treeline advancement in the dry and wet subzones of Englemann Spruce – Subalpine Fir (ESSF) zone. Landsat 5 imageries and Digital Elevation Models are used to determine the treeline during 1985 – 2010. The Normalized Difference Vegetation Index (NDVI) are determined at a 5-year interval. The threshold value for pixels transition from non-forested to forested is set at 0.3. All the transition pixels are identified and the elevational analysis was conducted. The identified transition pixels (treeline ecotones) of Wet subzones have a higher R2 and mainly show a decreasing trend. This means that the growth rate of treeline ecotone is slowing down in wet subzones. Dry subzones have a relatively small R2 and mainly show an increasing trend. The increasing trend represents the growth rate of treeline ecotone is accelerating in dry subzones, which also means that the rate of alpine habitat loss is accelerating
DOI: 10.57745/4wk6s8
title: E648093001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/8pwobb
title: E182702001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/9dh2ut
title: E338351001_projection_datasheet.pdf

description: :unav
DOI: 10.6084/m9.figshare.29094341
title: Interview Transcripts and Coded Segments: <i>Motivations Behind the Analog Photography Revival: </i><i>A Qualitative Study of Consumer Experiences and Business Implications</i>

description: This dataset contains the full, pseudonymized transcripts from qualitative interviews conducted in 2025 as part of a bachelor’s thesis on the revival of analog photography. The participants were anonymized for ethical reasons. These transcripts were used to explore motivations and behaviors related to film photography practices. In addition to the full transcripts, the dataset also includes the thematically coded segments, which were developed using MAXQDA and structured following the Gioia method to identify key themes and aggregate dimensions.
DOI: 10.34740/kaggle/dsv/11859722
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.15458566
title: Data complementing the code for "A multi-tiered mechanical mechanism shapes the early neural plate"

description: MATLAB data and results for the fitting the mechanical model in our paper  "A multi-tiered mechanical mechanism shapes the early neural plate" to the experimental data, supplementing the fitting code at https://doi.org/10.5281/zenodo.15458515.
DOI: 10.5281/zenodo.15458567
title: Data complementing the code for "A multi-tiered mechanical mechanism shapes the early neural plate"

description: MATLAB data and results for the fitting the mechanical model in our paper  "A multi-tiered mechanical mechanism shapes the early neural plate" to the experimental data, supplementing the fitting code at https://doi.org/10.5281/zenodo.15458515.
DOI: 10.15468/dl.tre6h8
title: Occurrence Download

description: A dataset containing 12448 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((21.66756 2.308565, 24.54633 2.308565, 24.54633 5.553849, 21.66756 5.553849, 21.66756 2.308565))"
 ]
}

 The dataset includes 12448 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004772-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyqqu2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((24.34968 59.19117,24.42757 59.19117,24.42757 59.22953,24.34968 59.22953,24.34968 59.19117))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sus scrofa Linnaeus, 1758"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004773-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72w79w
title: Occurrence Download

description: A dataset containing 14606 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((24.54633 2.308565, 27.4251 2.308565, 27.4251 4.265819, 24.54633 4.265819, 24.54633 2.308565))"
 ]
}

 The dataset includes 14606 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004774-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mq8ek
title: Occurrence Download

description: A dataset containing 7606 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((27.4251 2.308565, 30.03678 2.308565, 30.03678 3.701339, 27.4251 3.701339, 27.4251 2.308565))"
 ]
}

 The dataset includes 7606 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004777-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/e502-fy81
title: "Markerless Motion Capture of Upper Limb Movements During Activities of Daily Living"

description: "This dataset was used to aid with understanding how the human brain controls hand and arm movements is crucial for restoring that function in individuals who have lost it. One prominent theory is that upper limb movements are controlled through synergies, which are coordinated patterns of joint movements. Synergies have been identified within the joint angles, contact forces, and angular velocities of movements, but studies often focus on a limited range of movements, hindering generalization. Additionally, many studies rely on data collection methods that may impede natural movement. This study aims to address these gaps by collecting markerless motion tracking data of the entire upper limb during 80 activities of daily living, providing a more comprehensive understanding of upper limb synergies. We identify which synergies are most critical for completing activities of daily living, with implications for improving assistive technologies, such as brain-machine interfaces for individuals with tetraplegia."
DOI: 10.15468/dl.dgau33
title: Occurrence Download

description: A dataset containing 282645 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mergellus albellus (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 282645 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004770-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txu3m4
title: Occurrence Download

description: A dataset containing 21285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.48114 12.10897,-77.47786 8.13439,-77.05949 3.39279,-80.75515 -0.09368,-80.61569 -1.97637,-79.98812 -6.16014,-77.47786 -10.69255,-75.73463 -13.13308,-73.92166 -10.76228,-77.75678 -5.81149,-78.38435 -2.11583,-76.3622 1.30091,-74.89788 4.15982,-75.03734 6.53062,-71.48114 12.10897))",
 "OccurrenceStatus is Present",
 "TaxonKey is Chlorornis riefferii (Boissonneau, 1840)"
 ]
}

 The dataset includes 21285 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004780-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7dgbj
title: Occurrence Download

description: A dataset containing 3898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.54241 12.24094,-74.89715 11.09728,-76.68889 8.42873,-77.48945 5.91268,-77.07011 3.58723,-79.05246 1.60488,-80.38673 0.23249,-81.11105 -2.39793,-80.61546 -5.06648,-79.89114 -6.55324,-78.13753 -6.24826,-78.21377 -3.77033,-78.55687 -0.30122,-76.57452 1.49052,-75.04964 3.28225,-74.59217 6.37014,-75.01152 8.04751,-71.54241 12.24094))",
 "OccurrenceStatus is Present",
 "TaxonKey is Cnemathraupis eximia (Boissonneau, 1840)"
 ]
}

 The dataset includes 3898 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004781-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15448061
title: THz data

description: Paper data in "Monolithic lithium niobate photonic chip for efficient terahertz-optic modulation and terahertz generation"
DOI: 10.5281/zenodo.15450457
title: LITERATURE REVIEW
DOI: 10.5281/zenodo.15450458
title: LITERATURE REVIEW
DOI: 10.15468/dl.cauzek
title: Occurrence Download

description: A dataset containing 1348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, Nepal, Bhutan, China)",
 "TaxonKey is Zemeros flegyas Cramer, 1780"
 ]
}

 The dataset includes 1348 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004785-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdkbkz
title: Occurrence Download

description: A dataset containing 8448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lynx lynx (Linnaeus, 1758), Mustela sibirica Pallas, 1773, Arctictis binturong (Raffles, 1821), Arctonyx collaris F.G.Cuvier, 1825, Viverra zibetha Linnaeus, 1758, Mustela kathiah Hodgson, 1835, Mustela nivalis Linnaeus, 1766, Prionodon pardicolor Hodgson, 1842, Canis lupus Linnaeus, 1758, Paguma larvata (C.E.H.Smith, 1827), Mustela altaica Pallas, 1811, Martes foina (Erxleben, 1777), Felis silvestris Schreber, 1777, Vormela peregusna (Güldenstädt, 1770), Melogale moschata (Gray, 1831), Helarctos malayanus (Raffles, 1822), Ursus arctos Linnaeus, 1758, Felis bieti Milne-Edwards, 1892, Mustela erminea Linnaeus, 1758, Viverricula indica (É.Geoffroy Saint-Hilaire, 1803), Uncia uncia (Schreber, 1775), Panthera tigris (Linnaeus, 1758), Prionailurus bengalensis (Kerr, 1792), Neofelis nebulosa (Griffith, 1821), Vulpes vulpes (Linnaeus, 1758), Arctonyx albogularis (Blyth, 1853), Panthera pardus (Linnaeus, 1758), Catopuma temminckii (Vigors & Horsfield, 1827), Herpestes javanicus (É.Geoffroy Saint-Hilaire, 1818), Herpestes urva (Hodgson, 1836), Canis aureus Linnaeus, 1758, Herpestes javanicus (É.Geoffroy Saint-Hilaire, 1818), Mustela eversmanii Lesson, 1827, Mustela nivalis Linnaeus, 1766, Melursus ursinus (Shaw, 1791), Pardofelis marmorata (Martin, 1837), Chrotogale owstoni Thomas, 1912, Vulpes ferrilata Hodgson, 1842, Ursus thibetanus G, Arctogalidia trivirgata (Gray, 1832), Martes flavigula (Boddaert, 1785), Meles leucurus (Hodgson, 1847), Mustela strigidorsa Gray, 1853, Gulo gulo (Linnaeus, 1758), Felis manul Pallas, 1776, Vulpes corsac (Linnaeus, 1768), Melogale personata I.Geoffroy Saint-Hilaire, 1831, Ailuropoda melanoleuca (David, 1869), Cuon alpinus (Pallas, 1811), Ailurus fulgens F.G.Cuvier, 1825, Nyctereutes procyonoides (Gray, 1834), Felis chaus Schreber, 1777, Viverra megaspila Blyth, 1862, Paradoxurus hermaphroditus (Pallas, 1777), Martes zibellina (Linnaeus, 1758))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (China, Chinese Taipei)",
 "Geometry POLYGON((73 4,135 4,135 53,73 53,73 4))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8448 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004787-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11859857
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.57967/hf/5552
title: TestDOI
DOI: 10.15468/dl.3bwz6w
title: Occurrence Download

description: A dataset containing 948694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mergus merganser Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 948694 records from 268 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004784-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.