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Data with the same uppercase letter within each column indicate not significant differences (p
Database of core information. This Web site contains information on rock cores archived at the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC). Archived cores consist of 3- to 4-inch-diameter coral cores, 1- to 2-inch-diameter rock cores, and a few unlabeled loose coral and rock samples.
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Wilson et al. SOM Tables.xlsx
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Encounter history, site covariates, and observation covariates formatted as an unmarkedFrameOccu object for use in program R with the package unmarked to replicate the analyses conducted by Hack et al. in 'Fine-scale forest structure, not management regime, drives occupancy of a declining songbird, the Olive-sided Flycatcher, in the core of its range.'
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Core, Standard, Patented, Combinate, and Blank Key
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290 3D models (.ply files) of cores made in quartzite (15 bifacial multipolar centripetal cores and 15 unifacial unipolar cores) from a sequential experiment. Each core was scanned at ten different moments of the reduction. In total, there are 30 3D models of cobbles and 260 3D models of cores.
OSCEOLA County; API 21-133-20779-00-00
GBM cell lines were plated onto 10 cm dishes at 100,000-200,000 cells per dish and allowed to grow for 3-4 days until confluency reached 50-70%. Media for all cell lines was DMEM with 10% FBS including 25 mM glucose, 6.2 mM glutamine and 200 uM Oleic Acid (conjugated to BSA). 1-2 hours prior to tracer incubation, media was aspirated and fresh media was used. Immediately prior to tracer incubation, media was again aspirated and then cells were washed with warm PBS to remove unlabeled metabolites. Cells were then incubated with labeled tracer (DMEM with 10% FBS including 25 mM Uniformly labeled 13C-6 glucose, 6.2 mM unlabeled glutamine and 200 uM unlabeled oleic acid). After 2 hours of incubation with tracer, media was aspirated, cells were quickly washed with 15 mL DI water, quenched with liquid nitrogen and then stored at -80oC until analysis.
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Platform positions for blows that produced burin scars on flake blank cores.
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Identifying key statements in large volumes of short, user-generated texts is essential for decision-makers to quickly grasp their key content. To address this need, this research introduces a novel abstractive key point generation (KPG) approach applicable to unlabeled text corpora, using an unsupervised approach, a feature not yet seen in existing abstractive KPG methods. The proposed method uniquely combines topic modeling for unsupervised data space segmentation with abstractive summarization techniques to efficiently generate semantically representative key points from text collections. This is further enhanced by hyperparameter tuning to optimize both the topic modeling and abstractive summarization processes. The hyperparameter tuning of the topic modeling aims at making the cluster assignment more deterministic as the probabilistic nature of the process would otherwise lead to high variability in the output. The abstractive summarization process is optimized using a Davies-Bouldin Index specifically adapted to this use case, so that the generated key points more accurately reflect the characteristic properties of this cluster. In addition, our research recommends an automated evaluation that provides a quantitative complement to the traditional qualitative analysis of KPG. This method regards KPG as a specialized form of Multidocument summarization (MDS) and employs both word-based and word-embedding-based metrics for evaluation. These criteria allow for a comprehensive and nuanced analysis of the KPG output. Demonstrated through application to a political debate on Twitter, the versatility of this approach extends to various domains, such as product review analysis and survey evaluation. This research not only paves the way for innovative development in abstractive KPG methods but also sets a benchmark for their evaluation.
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Flake types that produced burin scars on flake blank cores.
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Data with the same uppercase letter within each column indicate not significant differences (p