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1,055 results for “Bridge”
Data set from long-term wind and acceleration monitoring of the Gjemnessund Bridge
<p>The Gjemnessund Bridge has been monitored by accelerometers and anemometers for almost ten years. The data collected between 2013 and 2018 are now available in this open-access research entry, for free access and download. The data is collected in two h5-files (hierachical data format), with sampling rates 2 Hz and 10 Hz, downsampled from the raw sampling rate of 200 Hz. Some minimal signal processing is applied to the data in line with that applied to the Hardanger Bridge data described in Fenerci et al. (2021) and the Bergsøysund Bridge data described in Kvåle et al. (2022). The structure of the data is identical to that of the latter reference, which is described in a preprint appended to that research entry. The Python package opyndata available on GitHub contains useful tools compatible with the format of the dataset, for data import, processing and visualization.</p>
Bridging macroecology and macroevolution in the radiation of sigmodontine rodents
<p>Investigations of phenotypic disparity across geography often ignore macroevolutionary processes. As a corollary, the random null expectations to which disparity is compared and interpreted may be unrealistic. We tackle this issue by representing, in geographical space, distinct processes of phenotypic evolution underlying ecological disparity. Under divergent natural selection, assemblages in a given region should have empirical disparity higher than expected under an evolutionarily-oriented null model, while the opposite may indicate constraints on phenotypic evolution. We gathered phylogenies, biogeographic distributions, and data on the skull morphology of sigmodontine rodents to discover which regions of the Neotropics were more influenced by divergent, neutral, or constrained phenotypic evolution. We found that regions with higher disparity than expected by the evolutionary-oriented null model, in terms of both size and shape, were concentrated in the Atlantic Forest, suggesting a larger role for divergent natural selection there. Phenotypic disparity in the rest of South America, mainly the Amazon basin, northeastern Brazil and Southern Andes, was constrained — lower than predicted by the evolutionary model. We also demonstrated equivalence between the disparity produced by randomization-based null models and constrained-evolution null models. Therefore, including evolutionary simulations into the null modeling framework used in ecophylogenetics can strengthen inferences on the processes underlying phenotypic evolution.</p>
Supplemental data for submission "Bridging between LegalRuleML and TPTP for Automated Normative Reasoning"
<p>These files are supplementary material to the submission<br> Bridging between LegalRuleML and TPTP for Automated Normative Reasoning<br> by<br> Alexander Steen and David Fuenmayor<br> submitted to the 6th International Joint Conference on Rules and Reasoning (RuleML+RR 2022), 2022.</p> <p>Files ex1.lrml.xml and ex2.lrml.xml are two example LegalRuleML files.<br> Files ex1.dsl.p and ex2.dsl.p are two examples from above translated to the NMF DSL.<br> The files ex1.output.X.p and ex2.output.X.p are the translations of the NMF files into the concrete logic X (X = SDL or X = cJ (Carmo Jones) or X = aqvist (system E)).</p> <p>Alexander Steen, <alexander.steen@uni-greifswald.de></p>
Fig. 5 in Multispecies leatherback turtle assemblage from the Oligocene Chandler Bridge and Ashley formations of South Carolina, USA
Fig. 5. Ossicles of leatherback turtle cf. Psephophorus sp. from Oligocene of South Carolina, USA. CCNHM 5460 (A) and CCNHM 5543 (B), in dorsal A1, B1), visceral (A2, B2), and sutural (A3, B3) views.
Fig. 3 in Multispecies leatherback turtle assemblage from the Oligocene Chandler Bridge and Ashley formations of South Carolina, USA
Fig. 3. Ossicles of leatherback turtle Natemys sp. 2 from Oligocene of South Carolina, USA. CCNHM 4287.1 (A), CCNHM 4287.2 (B), and CCNHM 4910 (C), in dorsal (A1–C1), visceral (A2–C2), and sutural (A3–C3) views. Arrows indicate the fissure on the visceral and sutural surfaces of CCNHM 4287.2, and note the stratified internal structure of CCNHM 4287.1.
Dataset for digital twins for managing bridge climate change adaptation
<p><span>This is the dataset for embedding in the novel digital twin driven by</span><span> BIM technology to manage the climate change adaptation measures for the bridges. A 6D BIM model has been established and embeded with change adaptation measures, timeline schedule, climate change adaptation cost estimation, and carbon emission estimation.</span></p>
Dataset: Chain Bridge I (CBRGU) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Bridges Capital Tactical ETF (BDGS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Thunder Bridge Capital Partners IV Inc. (THCPU) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Thunder Bridge Capital Partners IV Inc. (THCP) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Thunder Bridge Capital Partners IV Inc. (THCPW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Manhattan Bridge Capital, Inc. (LOAN) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig 9 in Bridging the gap: A new species of arboreal Abronia (Squamata: Anguidae) from the Northern Highlands of Chiapas, Mexico
Fig 9. Habitat of Abronia cunemica sp. nov. near Coapilla, Chiapas, Mexico. (A) Live and dead Pinus chiapensis trees in a cattle pasture, (B) intact Pinus- Quercus forest, (C) microhabitat of Quercus spp. trees laden with epiphytes. Photographs taken by Adam G. Clause on 19 February 2022 (A) and 14 August 2021 (B–C). https://doi.org/10.1371/journal.pone.0295230.g009
Fig 8 in Bridging the gap: A new species of arboreal Abronia (Squamata: Anguidae) from the Northern Highlands of Chiapas, Mexico
Fig 8. Geographic distribution of Abronia cunemica sp. nov. and nearby arboreal congeners in Chiapas and Oaxaca, Mexico. Inset photographs show characteristic differences in adult dorsal head color between A. cunemica sp. nov. (pale yellow, with dark markings distinct) and the closely related A. morenica (pale gray/tan, with dark markings absent or faint). The holotypes (adult males) of both species are shown; photograph of A. cunemica sp. nov. intentionally mirrored horizontally. Photographs by Adam G. Clause. Map layers courtesy of Natural Earth (public domain). https://doi.org/10.1371/journal.pone.0295230.g008
Fig 1 in Bridging the gap: A new species of arboreal Abronia (Squamata: Anguidae) from the Northern Highlands of Chiapas, Mexico
Fig 1. Maximum likelihood phylogenetic hypothesis for the genus Abronia based on 3425 RADseq loci. Numbers on branches are bootstrap values. B. = Barisia; E. = Elgaria; G. = Gerrhonotus. Species group names (I–VIII) follow the most recent molecular phylogenetic hypothesis of Abronia [38]. Color boxes indicate morphology-based taxonomic assignments [39]: subgenus Abronia (turquoise), subgenus Scopaeabronia (violet), subgenus Auriculabronia (blue), subgenera Abaculabronia plus Lissabronia (pale green), and former genus Mesaspis (pale orange). https://doi.org/10.1371/journal.pone.0295230.g001
Fig 2 in Bridging the gap: A new species of arboreal Abronia (Squamata: Anguidae) from the Northern Highlands of Chiapas, Mexico
Fig 2. Cross-validation results of conStruct analysis comparing the spatial and nonspatial conStruct models (in blue and green, respectively) run with K 1 through 4. https://doi.org/10.1371/journal.pone.0295230.g002
Fig 5 in Bridging the gap: A new species of arboreal Abronia (Squamata: Anguidae) from the Northern Highlands of Chiapas, Mexico
Fig 5. Holotype of Abronia cunemica sp. nov. from Coapilla, Chiapas, Mexico (MZFC-HE 36544, 29 mm head length). Dorsal view (top), left lateral view (middle), and ventral view (bottom) of head in preservative. All scale bars = 10 mm. Photographs by Israel Solano-Zavaleta. https://doi.org/10.1371/journal.pone.0295230.g005
Fig 4 in Bridging the gap: A new species of arboreal Abronia (Squamata: Anguidae) from the Northern Highlands of Chiapas, Mexico
Fig 4. Results of species delimitation in the (A. ornelasi (A. morenica, presumed new species)) clade applying the heuristic index gdi to parameter estimates from BPP. The dotted lines correspond to gdi = 0.2 and 0.7. Horizontal lines represent means and boxes 95% confidence intervals around means. https://doi.org/10.1371/journal.pone.0295230.g004
Fig 3 in Bridging the gap: A new species of arboreal Abronia (Squamata: Anguidae) from the Northern Highlands of Chiapas, Mexico
Fig 3. Results of conStruct analysis using K = 3 for the spatial model showing layer contributions. Samples from left to right: presumed new species (first two samples), A. morenica (next three samples), and A. ornelasi.
Fig 6 in Bridging the gap: A new species of arboreal Abronia (Squamata: Anguidae) from the Northern Highlands of Chiapas, Mexico
Fig 6. Color variation in life of type series of Abronia cunemica sp. nov. from Coapilla, Chiapas, Mexico. (A) Adult male holotype, MZFC-HE 36544, 127 mm snout-to-vent length (SVL); (B) adult female paratype, MZFC-HE 36545, 113 mm SVL; (C) adult female paratype, MZFZ 4514 (AGC 1492), 110 mm SVL; (D) adult female paratype, MZFZ 4513 (AGC 1491), 107 mm SVL; (E) juvenile male paratype, MZFZ 4512 (AGC 1484), 91 mm SVL. Photographs by Emmanuel Javier-Vázquez. https://doi.org/10.1371/journal.pone.0295230.g006
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.