cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27143690.v1
title: Spectral Diversity as a Predictor of Tree Diversity: Exploring Challenges and Opportunities Across Forest Ecosystems

description: Forests are crucial for ecosystem health, climate regulation, and biodiversity. However, many tree species face extinction threats, requiring active monitoring for conservation. The spectral variation hypothesis (SVH) suggests that spectral diversity can serve as a proxy for ground-measured biodiversity. Despite its promise, SVH’s application has shown inconsistent results, complicating its use in biodiversity monitoring. This study examines the relationship between tree diversity and Sentinel-2-derived spectral diversity across Quebec’s forests, analyzing 2531 inventory plots using a combination of spectral analysis, cluster analysis and random forest (RF) regressions. We evaluate four biodiversity indices: species richness, Shannon diversity, functional dispersion, and percent conifer. Our analysis reveals overlapping spectral signatures that make it challenging to differentiate between varying levels of species richness, Shannon diversity, and functional dispersion. However, percent conifer shows spectral separability and can be stratified using unsupervised k-means clustering. Using RF regression models, only the percent conifer models demonstrated strong performance (R<sup>2</sup> = 0.77), while models for the other biodiversity indices did not exceed an R<sup>2</sup> of 0.46. This study highlights the complex relationship between spectral diversity and tree diversity, and suggests that future research should aim to improve the understanding of the relationship, or lack thereof, between ground-measured biodiversity indices and relatable spectral metrics.
DOI: 10.17863/cam.111037
title: Research data supporting: "Design and Multi-Objective Performance Optimization of a Novel Steering Technology for Heavy Goods Vehicles"

description: All data needed to reproduce the figures in the paper in a form readable by Python. Abstract of related publication: A multi-objective optimization (MOO) approach is utilized to design a controller for a novel rear-steering technology named “Brake-Actuated Steering” (BAS). This system uses individually controlled brakes to generate differential longitudinal forces on each side of an axle, causing it to steer. Compared to other active rear-steering solutions utilizing path-following control, the BAS system is expected to provide comparable maneuverability performance, while offering approximately a 50% reduction in both mass and costs. Two objective criteria that define the performance and control effort of the BAS system are considered. Constraints are imposed limiting the feasible set of design variables to ensure stability of the controller, and sufficient centering capability of the steering system in emergency braking conditions. The optimization is performed for low-speed cornering of a tractor-semitrailer under various operating conditions, including low-friction surfaces, different axle loadings, and vehicle speeds. The optimization provides a set of Pareto-optimal fronts, minimizing the objectives. Simulations are used to compare the performance of a nonoptimal design for the BAS axle prototype to that of the optimized axle design. These validate the superior performance resulting from the optimization, with root mean square error of the steering angle and the energy consumed by the towing unit reduced by 48% and 21%, respectively. Model and controller validation and the performance of the system are verified by experiments on a prototype vehicle system.
DOI: 10.17863/cam.110905
title: Supporting data for "Chip-scale sensor for spectroscopic metrology"

description: This Microsoft Excel file contains the absorptance spectra (i.e., wavelength-dependent absorptance values) for glucose solutions with concentrations ranging from 0.1% to 40%, measured using our reconstructive spectrometer.
DOI: 10.21233/w666-kt33
title: Lake Ontario/Soup Harbour water chemistry dataset

description: Raw data for the Lake Ontario/Soup Harbour water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17863/cam.116437
title: Research data supporting "Revealing patterns of homoplasy in discrete phylogenetic datasets with a cross-comparable index"

description: Datasets include published phylogenetic matrices and trees that were used in analyses in the manuscript "Revealing patterns of homoplasy in discrete phylogenetic datasets with a cross-comparable index" in Zoological Journal of the Linnean Society. List of data files Empirical tree files These Newark format PHYLIP files represent the topologies derived from the empirical studies and were used in Analysis 1. Some are rooted and some are not fully bifurcating. • Telluraves (Ksepka et al., 2019): ‘Telluraves_tree.phy’. • Passeriformes a (Steell et al., 2023): ‘Passeriformes_a_tree.phy’. • Passeriformes b (Steell et al., 2023): ‘Passeriformes_b_tree.phy’. • Neornithes (Field et al., 2020): ‘Neornithes_tree.nex’. • Avialae a (Benito et al., 2022): ‘Avialae_a_tree.nex’. • Avialae b (Benito et al., 2022): ‘Avialae_b_tree.nex’. Dichotomous trees for simulations These Newark format PHYLIP files represent fully dichotomous trees where nodes were randomly resolved when populating branch lengths using the accelerated transformation algorithm (see extended methods above). Branch lengths represent morphological change. These trees were used in all simulations for this study (Analyses 2-5). • Telluraves (Ksepka et al., 2019): ‘Telluraves_tree_branchlengths_dichot.phy’. • Passeriformes a (Steell et al., 2023): ‘Passeriformes_tree_branchlengths_dichot.phy’. • Neornithes (Field et al., 2020): ‘Neornithes_tree_branchlengths_dichot.phy’. • Avialae a (Benito et al., 2022): ‘Avialae_tree_branchlengths_dichot.phy’. Empirical character taxon matrices NEXUS files of empirical character taxon matrices used in Analysis 1. • Telluraves (Ksepka et al., 2019): ‘Telluraves_matrix.nex’. • Passeriformes a (Steell et al., 2023): ‘Passeriformes_matrix_a.nex’. • Passeriformes b (Steell et al., 2023): ‘Passeriformes_matrix_b.nex’. • Neornithes (Field et al., 2020): ‘Neornithes_matrix.nex’. • Avialae a and b (Benito et al., 2022): ‘Avialae_matrix.nex’. Empirical datasets came from the following publications: Benito, J., Kuo, P. C., Widrig, K. E., Jagt, J. W. M., & Field, D. J. (2022). Cretaceous ornithurine supports a neognathous crown bird ancestor. Nature, 612(7938), 100–105. https://doi.org/10.1038/s41586-022-05445-y Field, D. J., Benito, J., Chen, A., Jagt, J. W. M., & Ksepka, D. T. (2020). Late Cretaceous neornithine from Europe illuminates the origins of crown birds. Nature, 579(7799), 397–401. https://doi.org/10.1038/s41586-020-2096-0 Steell, E. M., Nguyen, J. M. T., Benson, R. B. J., & Field, D. J. (2023). Comparative anatomy of the passerine carpometacarpus helps illuminate the early fossil record of crown Passeriformes. Journal of Anatomy, 242(3), 495–509. https://doi.org/10.1111/joa.13761 Ksepka, D. T., Grande, L., & Mayr, G. (2019). Oldest Finch-Beaked Birds Reveal Parallel Ecological Radiations in the Earliest Evolution of Passerines. Current Biology, 29(4), 657-663.e1. https://doi.org/10.1016/j.cub.2018.12.040
DOI: 10.21233/07vk-8e64
title: T_Junction pollen dataset

description: Raw data for the T_Junction pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/rhvm-k792
title: Minchin Lake ostracode surface sample dataset

description: Raw data for the Minchin Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/4nnt-v767
title: Loonshot Lake water chemistry dataset

description: Raw data for the Loonshot Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/4vhn-de33
title: GATC9 pollen surface sample dataset

description: Raw data for the GATC9 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.muhtmn
title: Occurrence Download

description: A dataset containing 88924 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lynx lynx (Linnaeus, 1758)"
 ]
}

 The dataset includes 88924 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026709-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/024f-9r16
title: Brant Lake water chemistry dataset

description: Raw data for the Brant Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.23mzdy
title: Occurrence Download

description: A dataset containing 10398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.92508 -9.1031,-77.61539 -9.1031,-77.61539 -8.94284,-77.92508 -8.94284,-77.92508 -9.1031))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2015-2025"
 ]
}

 The dataset includes 10398 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026713-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/61p0-x460
title: LDDsite3010 ostracode surface sample dataset

description: Raw data for the LDDsite3010 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/g6gt-m056
title: Plaine testate amoebae surface sample dataset

description: Raw data for the Plaine testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/grd3-tx14
title: Jackson Pond plant macrofossil dataset

description: Raw data for the Jackson Pond plant macrofossil dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/1qw9-q155
title: Little Red Deer River ostracode surface sample dataset

description: Raw data for the Little Red Deer River ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/k9g3-6725
title: Dravo Marsh diatom dataset

description: Raw data for the Dravo Marsh diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ws1z-qa79
title: SWNL5 pollen surface sample dataset

description: Raw data for the SWNL5 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/qj2y-k708
title: Burgaschisee plant macrofossil dataset

description: Raw data for the Burgaschisee plant macrofossil dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ck67-hg54
title: Lake Whitney water chemistry dataset

description: Raw data for the Lake Whitney water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28742170.v1
title: In-vehicle trajectory guidance system considering road emergency events

description: Connected and automated vehicles (CAVs) can improve traffic flow characteristics by implementing advanced control algorithms and real-time coordination mechanisms. In the near future, when fully autonomy cannot be achieved, it is expected that human-driven vehicles (HDVs) can be indirectly controlled in a manner similar to CAVs through an in-vehicle information system, which has the potential to further stabilize traffic flow and foster cooperation in mixed traffic. This article contributes to this area of research by designing an in-vehicle longitudinal trajectory guidance system for human drivers and evaluating its impact on driving performance and driver behavior. Given a pre-defined longitudinal vehicle trajectory, the system displays the real-time guidance information through a virtual block. The system was tested through driving simulator experiments with a total of 35 subjects. Two different traffic scenarios, open road and dedicated road, with random disturbances were considered. The experimental results indicate that the proposed trajectory guidance system can effectively promote efficiency and reduce environmental impact. Side effects regarding driver behavior are limited and overall compliance with the system is satisfactory. In unexpected pedestrian crossing settings, drivers can recognize road safety hazards and perform braking in time to ensure safety with trajectory guidance. It takes 3.63 s on average for guided drivers to regain a position in virtual block after an emergency. The findings in this paper can support the realization of some trajectory-based traffic control methods in mixed traffic considering random road safety hazards.
DOI: 10.6084/m9.figshare.24425085
title: Operational planning of integrated urban freight logistics combining passenger and freight flows through mathematical programming

description: Recently, more environmentally friendly urban logistics (UL) services have emerged based on the integration of freight deliveries into passenger bus networks to perform UL activities within cities. The aim is to reduce the number of combustion powered vehicles operating within cities, thus improving the city quality of life in terms of pollution, noise, traffic congestion etc. This paper addresses the operational planning of an UL service where freight is dropped by clients at bus hubs located outside the city center, transported by buses to one of their stops located in the city center, and delivered to the destination address by a last mile operator (LMO). To support the operational planning of the service covering the entire logistics process (from the reception of freight delivery requests until the delivery of the requests on their destination), five operational objectives are considered and, for each objective, an Integer Linear Programming (ILP) model is proposed. The objectives cover the perspectives of the bus network operator and of the LMO and some objectives address the robustness of the operational planning solutions to failures. Additionally, five operational planning cases of practical interest where two of the previous objectives are lexicographically optimized are also addressed including a description of how they are solved with the proposed ILP models. We demonstrate the merits of the different operational planning methods with different generated instances whose characteristics allow the assessment of the impact of different parameters on the results obtained by the proposed models when solved with a standard solver.
DOI: 10.6084/m9.figshare.24425085.v1
title: Operational planning of integrated urban freight logistics combining passenger and freight flows through mathematical programming

description: Recently, more environmentally friendly urban logistics (UL) services have emerged based on the integration of freight deliveries into passenger bus networks to perform UL activities within cities. The aim is to reduce the number of combustion powered vehicles operating within cities, thus improving the city quality of life in terms of pollution, noise, traffic congestion etc. This paper addresses the operational planning of an UL service where freight is dropped by clients at bus hubs located outside the city center, transported by buses to one of their stops located in the city center, and delivered to the destination address by a last mile operator (LMO). To support the operational planning of the service covering the entire logistics process (from the reception of freight delivery requests until the delivery of the requests on their destination), five operational objectives are considered and, for each objective, an Integer Linear Programming (ILP) model is proposed. The objectives cover the perspectives of the bus network operator and of the LMO and some objectives address the robustness of the operational planning solutions to failures. Additionally, five operational planning cases of practical interest where two of the previous objectives are lexicographically optimized are also addressed including a description of how they are solved with the proposed ILP models. We demonstrate the merits of the different operational planning methods with different generated instances whose characteristics allow the assessment of the impact of different parameters on the results obtained by the proposed models when solved with a standard solver.
DOI: 10.6084/m9.figshare.28742170
title: In-vehicle trajectory guidance system considering road emergency events

description: Connected and automated vehicles (CAVs) can improve traffic flow characteristics by implementing advanced control algorithms and real-time coordination mechanisms. In the near future, when fully autonomy cannot be achieved, it is expected that human-driven vehicles (HDVs) can be indirectly controlled in a manner similar to CAVs through an in-vehicle information system, which has the potential to further stabilize traffic flow and foster cooperation in mixed traffic. This article contributes to this area of research by designing an in-vehicle longitudinal trajectory guidance system for human drivers and evaluating its impact on driving performance and driver behavior. Given a pre-defined longitudinal vehicle trajectory, the system displays the real-time guidance information through a virtual block. The system was tested through driving simulator experiments with a total of 35 subjects. Two different traffic scenarios, open road and dedicated road, with random disturbances were considered. The experimental results indicate that the proposed trajectory guidance system can effectively promote efficiency and reduce environmental impact. Side effects regarding driver behavior are limited and overall compliance with the system is satisfactory. In unexpected pedestrian crossing settings, drivers can recognize road safety hazards and perform braking in time to ensure safety with trajectory guidance. It takes 3.63 s on average for guided drivers to regain a position in virtual block after an emergency. The findings in this paper can support the realization of some trajectory-based traffic control methods in mixed traffic considering random road safety hazards.
DOI: 10.15468/dl.xxzb64
title: Occurrence Download

description: A dataset containing 545 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phocoena sinus Norris & McFarland, 1958"
 ]
}

 The dataset includes 545 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026715-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/r792-bv14
title: LDDsite5888 ostracode surface sample dataset

description: Raw data for the LDDsite5888 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.yt26wq
title: Occurrence Download

description: A dataset containing 11750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera leo (Linnaeus, 1758)"
 ]
}

 The dataset includes 11750 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026714-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/hcg2-8j90
title: Bayandai boggy testate amoebae surface sample dataset

description: Raw data for the Bayandai boggy testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/dd9c-pe16
title: Hackberry Ruin Group pollen dataset

description: Raw data for the Hackberry Ruin Group pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.