cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/myd-dqk-qvj
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e1t-enm-r79
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vkj-w7q-3r5
title: Planctostoma luculentum (Brady, 1884)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ry5-5wf-xew
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zzx-08w-ge6
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/eb3-tbe-png
title: Glaphyrammina americana (Cushman, 1910)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rvx-d4r-2m1
title: Globigerinoides conglobatus (Brady, 1879)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/65b-8m4-zqc
title: Bolivina spinata Cushman, 1936

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/szr-7ft-rmz
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f7s-apk-74c
title: Cancris oblongus (Williamson, 1858)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h1x-r0j-x7q
title: Duvalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y57-q7p-zsf
title: Textulariella barrettii (Jones & Parker, 1876)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ysb-fht-wb7
title: Crioceratites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8h6-sxl-hfk
title: Rotorbinella barbadosensis Hofker, 1969

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lcn-w87-9cd
title: Bochianites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zfe-j64-tsz
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.7wbr3q
title: Occurrence Download

description: A dataset listing the 1785 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry MULTIPOLYGON(((1.25273 47.68899,1.25601 47.68025,1.26007 47.67795,1.26453 47.67174,1.26354 47.66004,1.26938 47.65758,1.27196 47.65317,1.28022 47.65517,1.28606 47.66044,1.28644 47.6585,1.29256 47.65854,1.3077 47.66316,1.35494 47.68898,1.34666 47.69009,1.34392 47.69277,1.34544 47.69846,1.34711 47.69899,1.34558 47.70633,1.33846 47.70745,1.33643 47.71002,1.33351 47.70973,1.33029 47.70865,1.32996 47.70453,1.3283 47.70428,1.32592 47.71007,1.32174 47.70793,1.32029 47.70898,1.32122 47.70952,1.31912 47.71149,1.32274 47.71483,1.32088 47.71696,1.30979 47.72196,1.30726 47.72008,1.30771 47.71526,1.3063 47.71299,1.30259 47.71156,1.30123 47.70763,1.29832 47.70648,1.29472 47.70775,1.29342 47.70656,1.29673 47.70201,1.28791 47.69958,1.29131 47.69687,1.29067 47.69513,1.28336 47.69475,1.27612 47.69225,1.25983 47.70068,1.25546 47.69613,1.25273 47.68899)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "Year 2010-2025"
 ]
}

 The dataset's 1785 records were derived from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038625-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17628105
title: Interface-Engineered Oxygen Vacancy Channels in Epitaxial Brownmillerite Manganite Films
DOI: 10.5281/zenodo.17628104
title: Interface-Engineered Oxygen Vacancy Channels in Epitaxial Brownmillerite Manganite Films
DOI: 10.15468/dl.be4zat
title: Occurrence Download

description: A dataset containing 2174585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphingidae",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2174585 records from 2917 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038587-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14288/1.0448202
title: Context-dependent disturbance synergies: Subcortical competitors may constrain bark beetle irruption following wildfires

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Wildfires and bark beetles have historically interacted to create complex and resilient forests. However, recent record-breaking wildfires in western North America raise concerns that the large areas of injured and dead trees could facilitate increases in insect populations that respond to resource pulses. Populations of Douglas-fir beetle (&lt;em&gt;Dendroctonus pseudotsugae&lt;/em&gt;), the primary mortality agent of Douglas-fir (&lt;em&gt;Pseudotsugae menziesii&lt;/em&gt;) often irrupt following fires due to the resultant ephemeral pulses of defensively compromised hosts. Other subcortical phloeophagous insects are also attracted to fire (e.g., woodboring Coleoptera: Buprestidae, Cerambycidae), and similarly colonize damaged trees. Although Douglas-fir beetle and woodboring beetle species are known to colonize the phloem of injured trees, the potential for interactions among them following fire is relatively unknown. Rapid colonization by woodborers of the bark beetle niche following fires could constrain bark beetle population growth, potentially suppressing population irruptions through subcortical competition. To evaluate this hypothesis, we studied three wildfire complexes in mature Douglas-fir forests that burned in British Columbia in 2017. We found Douglas-fir beetle preferentially colonized mature stands containing large-diameter trees with moderate fire injury, and that these trees were frequently co-colonized by woodborers. In the absence of woodborers, we found that potential rates of increase of Douglas-fir beetle populations (i.e., offspring per female) were sufficient to lead to a local population irruption. Conversely, when woodborers were common (&gt;50% of trees infested per stand), potential rates of increase of Douglas-fir beetle populations fell below replacement. These findings suggest that competition by woodboring beetles may suppress irruptions of Douglas-fir beetle in fire-injured forests. Our results reveal complex, context-dependent interactions among disturbance agents, and indicate that population irruptions by resource pulse-driven bark beetles following fire may depend upon the response of local subcortical competitors. Forest management practices that enhance the diversity and abundance of non-irruptive phloeophagous insects such as many woodboring beetle species may limit the potential for wildfires to contribute to subsequent bark beetle outbreaks.&lt;/p&gt;
DOI: 10.14288/1.0448203
title: Data from: Assessing the recovery gap in forest restoration within the Brazilian Atlantic Forest

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Biodiversity serves as a proxy for numerous ecosystem services that can be realized through forest restoration, benefitting both people and the environment. We investigated the magnitude of biodiversity recovery incompleteness (i.e., the recovery gap) in forest restoration within the Brazilian Atlantic Forest, hereafter referred to as the Atlantic Forest. We conducted meta-analysis to analyze how species richness and species abundance of soil microorganisms, invertebrates and vascular plants, as well as the vegetation structure, recover across major gradients in environmental conditions and human-caused disturbances. Our study shows that forest restoration in the Atlantic Forest faces a notable biodiversity gap in species richness across both passive and active restoration areas. However, the vegetation structure could potentially reach reference levels within 25 to 50 years. Forest type influenced the recovery of species abundance in active restoration areas, with dense forests displaying the largest gaps. Likewise, taxonomic group influenced species richness gaps in passive restoration areas, with invertebrates showing the largest gap. Reference forest age and past land use did not significantly affect biodiversity outcomes in either restoration approach. However, biodiversity levels were lower than those of the reference forest at various levels of the moderating factors analyzed. 4. Synthesis and applications: The study shows that after 25–50 years, restoration sites develop a vegetation structure similar to that of reference forests, regardless of the restoration approach. Species richness also tends to recover over time, but the rate and pattern of recovery differ between approaches. Passive restoration follows a gradual, long-term decline in the recovery gap, while active restoration exhibits a less clear trajectory. Past land use is the strongest predictor of biodiversity recovery, particularly for vegetation structure. The restoration age, forest type, and taxonomic group play more moderate roles but explain significant variation within particular categories of each variable. These findings highlight the importance of targeted interventions to enhance restoration outcomes and the need to prioritize efforts based on specific restoration objectives. Our results emphasize the importance of setting realistic, taxon-specific goals and provide metrics to guide resource allocation based on recovery gaps and timelines.&lt;/p&gt;
DOI: 10.14288/1.0448233
title: Data for "Head kinematic variability is minimal near preferred cadence and independent of the vestibular control of locomotion"

description: Data and code to replicate the figures in "Head kinematic variability is minimal near preferred cadence and independent of the vestibular control of locomotion" &lt;br&gt; &lt;br&gt; &lt;strong&gt; Abstract &lt;/strong&gt; &lt;br&gt; The unstable nature of our bipedal posture requires continuous feedback to maintain internal estimates of self-motion and generate appropriate balance-correcting responses. This feedback control process involves the integration of multisensory information, including vestibular cues of head motion. Minimizing head motion variability may optimize the information transmitted by vestibular signals that are important for balance control and consequently drive vestibular contributions to locomotion which decrease as we move faster. In this study, participants walked outdoors at 40% to 140% of their preferred step cadence while we characterized head kinematic variability across strides and vestibular-evoked balance responses to electrical vestibular stimulation, a common method to generate virtual signals of head movement. Head kinematic variability was lowest near participants’ preferred step cadences (90-126 steps/min) and gait speeds (1.1-1.7 m/s) while vestibular-evoked responses decreased exponentially as step cadence and gait speed increased. Hence, the minima of head kinematic variability were close to preferred step cadences, near previously established minima for the metabolic cost of locomotion. However, the relationship between head kinematic variability and vestibular-evoked balance responses was inconsistent across all step cadences, suggesting that head kinematic variability did not drive vestibular-evoked balance response magnitude. The observed reduction in the variability of head motion signals at the preferred locomotor cadence/speed may serve to improve our self-motion estimates and reduce information processing requirements to ensure effective navigation, thereby potentially contributing to the well-established minimum in metabolic cost near preferred cadence.
DOI: 10.14288/1.0448231
title: Data from: Disentangling serial chloroplast captures in willows

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Chloroplast capture is a process through which the chloroplast of a focal species is replaced by the chloroplast from another species through a process of repeated backcrossing of an initial hybrid. Using whole genome sequences of nuclear and chloroplast from several species of willows (&lt;em&gt;Salix&lt;/em&gt; spp.), we identify multiple chloroplast captures, and identify the phylogenetic relationships among these events. We present a phylogenetic strategy to discriminate among 1) a single chloroplast capture and subsequent speciation of the lineage with the captured chloroplast, 2) multiple chloroplast captures from the same parent species, and 3) serial chloroplast captures, which we define as the sequential capturing of the same chloroplast lineage across multiple species. Using this method, we identify cases of both serial chloroplast capture and speciation after chloroplast capture in &lt;em&gt;Salix&lt;/em&gt;. We also show that although these chloroplast capture events are accompanied by signals of hybridization in the nuclear genomes, nuclear genes that functionally interact with chloroplast genes, and nuclear genes involved in photosynthesis, were no more likely to introgress in species with chloroplast captures than in species without chloroplast captures. This study illuminates the complex evolution of the chloroplast genomes in &lt;em&gt;Salix &lt;/em&gt;and the potential for hybridization and introgression to influence genomic evolution. &lt;/p&gt;
DOI: 10.14288/1.0448255
title: Data characterizing symbiosis between the alder bark beetle and Neonectria bordenii

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;This dataset describes a symbiosis between the alder bark beetle, &lt;em&gt;Alniphagus aspericollis&lt;/em&gt;, and &lt;em&gt;Neonectria bordenii&lt;/em&gt; in red alder, &lt;em&gt;Alnus rubra&lt;/em&gt;. These data were used to assess tree-killing by the alder bark beetle (i.e., beetle colonization status in relation to red alder condition) and the ability of the alder bark beetle to vector &lt;em&gt;N. bordenii&lt;/em&gt; among host red alders (evaluated according to Leach’s postulates). Data were collected from five sites in southwestern British Columbia, Canada.&lt;/p&gt;
DOI: 10.14288/1.0448295
title: Pollinators utilize both traditional and forb-supplemented set-aside fields in agriculture

description: Raw dataset associated with the manuscript "Pollinators utilize both traditional and forb-supplemented set-aside fields in agriculture", published in Agriculture, Ecosystems & Environment (2025). This data was also used in the MSc thesis "Harnessing the potential for pollinator conservation in agriculture : semi-natural habitat enhancements in Delta, British Columbia" (2022).
DOI: 10.14288/1.0448437
title: Other Effective area-based Conservation Measure (OECM) Identification in Átl'ka7tsem / Howe Sound Biosphere Region

description: To support Canada’s ambitious conservation commitments of protecting 25% of its terrestrial and marine ecosystems by 2025, and 30% by 2030, new and flexible conservation approaches are necessary. Other Effective Area-Based Conservation Measures (OECMs) represent an opportunity to achieve these targets by recognizing biodiversity conservation occurring indirectly through existing land uses rather than explicitly through protected area designation. This research developed a systematic methodology to identify candidate OECM parcels in Howe Sound Biosphere Region, British Columbia. By integrating ecological variables with governance and zoning data into a weighted suitability model, the study demonstrated a scalable framework for OECM candidate parcel selection. Results highlighted 260 candidate parcels across three regional districts, emphasizing parcels whose governance structures align well with long-term conservation goals. The developed methodology addresses critical limitations of traditional qualitative approaches, enhancing conservation planning efficiency and scalability. Ultimately, this study provides a replicable model to facilitate Canada’s OECM identification process, promoting biodiversity conservation and contributing meaningfully to the nation's climate and ecological objectives.
DOI: 10.14288/1.0448454
title: Generating Synthetic Remote Sensing Data with Deep Learning for Improved Wetland Classification

description: Wetlands in the Prairie Pothole region of Canada are critical ecosystems that support biodiversity and provide essential ecosystem services, yet they face increasing threats from agricultural expansion and climate change. Remote sensing offers a powerful tool for monitoring these landscapes over time, enabling large-scale, consistent land cover classification compared to conventional field-based methods. However, machine learning approaches often struggle with rare wetland classes, such as fens, due to limited training data. To address this challenge, a CycleGAN model, a generative adversarial network (GAN) designed for image-to-image translation, was used to generate synthetic four-band orthophoto imagery of fens from more readily available marsh imagery. The model was trained using classified wetland imagery from central Saskatchewan within the ArcGIS deep learning framework, and the resulting synthetic fen images were statistically compared to real fen images. A t-test (p &lt; 0.05) revealed significant differences in mean pixel intensity across all bands except blue, while Jensen-Shannon divergence values (Blue: 0.1288, Green: 0.2077, Red: 0.2339, IR: 0.1885) indicated relative similarity between real and synthetic histograms. Additionally, synthetic images exhibited significantly higher mean entropy values in all four bands (p &lt; 0.05), suggesting increased variability. These results demonstrate that CycleGAN-generated images retain key spectral characteristics of real fens while introducing additional diversity, offering a potential solution for improving wetland classification models.
DOI: 10.14288/1.0448461
title: Detecting Change of Aboveground Biomass (AGB) in Kwahu South, Ghana

description: Forest plays a vital role in regulating the global carbon cycle, yet their aboveground biomass (AGB) remains difficult to estimate over large areas due to limitations of field-based measurements. This study addresses the challenge by evaluating satellite-based approaches to estimate AGB in Kwahu South, Ghana. The objective was to determine which optical satellite imagery, when paired with a consistent reference dataset, offers the most accurate biomass prediction. Specifically, three datasets were compared: Landsat 9, PlanetScope, and rescaled PlanetScope. Global Ecosystem Dynamics Investigation (GEDI) L4A data, collected by a full waveform LiDAR instrument mounted on the International Space Station (ISS), was used as reference data for validation. GEDI provides high-resolution laser ranging observations that capture the 3D structure of Earth's forests. GEDI L4A specifically provides globally available aboveground biomass density (AGBD) estimates, serving as reliable reference data for training and validating remote sensing models and reducing reliance on labor-intensive field campaigns. Vegetation indices and topographic variables were extracted from each satellite dataset and used as explanatory variables in a Random Forest regression model trained using ArcGIS Pro. Results showed that rescaled PlanetScope imagery achieved the highest prediction accuracy with a model explaining 84% of variability in observed AGB and the lowest prediction error. Despite its higher spatial resolution, the original Planet model was less accurate compared to Landsat 9. These findings highlight the importance of matching the spatial scale of satellite data to that of reference observations. They also suggest that increasing resolution does not always improve model performance and that thoughtful data preprocessing can significantly enhance prediction accuracy. This research offers a scalable and cost-effective method for monitoring biomass in regions where ground measurements are limited, contributing to better-informed forest management and carbon accounting efforts.
DOI: 10.14288/1.0448462
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: 10.14288/1.0448464
title: Visualize Six Years of Architectural Changes at the University of British Columbia Vancouver Campus: Impacts on Tree Growth, Green Connectivity, and Coyote Footprints

description: Urban development, such as campus expansion, alters land cover and disrupts ecological processes, but the full extent of these impacts is often underexamined at fine spatial and temporal scales. This study investigates how building expansion on the University of British Columbia (UBC) Vancouver campus from 2015 to 2021 has influenced tree dynamics and coyote movement by leveraging high-resolution Light Detection and Ranging (LiDAR) data and spatial analysis. A campus-wide analysis revealed an increase in building density from 0.91 to 1.03 buildings per hectare, with total building coverage expanding from 16.62% to 18.39%. Eight campus neighborhoods were analyzed in detail, with Wesbrook Place experiencing the most substantial change, adding 22 new primarily residential buildings. Beyond direct tree removal, construction activities indirectly hindered vegetation recovery by damaging root systems and compacting soil. Neighborhoods with lower construction intensity, such as East Campus and Hawthorn Place, showed more stable canopy structure and tree growth. Wildlife patterns were also affected; fragmentation of greenspace and reduction in canopy cover disrupted ecological corridors, influencing coyote movement across the campus. These findings highlight the critical role of remote sensing in tracking and visualizing land-use change, offering valuable insights for sustainable campus development and contributing to urban ecological planning in rapidly expanding metropolitan areas.