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774 results for “novelty”
FIGURE 6. Stigmatodon viridibracteatus. A in Novelties in Stigmatodon (Bromeliaceae, Tillandsioideae), a genus endemic to Brazil: three new species, one new combination, and two new stigma types
FIGURE 6. Stigmatodon viridibracteatus. A. General view of the inselberg landscape at the type locality. B. Population on vertical rock wall at the type locality. C–D. Habit. E. Lateral view of the flower. F. Frontal view of the flower. G. Details of the tubo-laciniate stigma (photos by D.R. Couto).
FIGURE 1. A–I. Tubo-laciniate stigma type I. A in Novelties in Stigmatodon (Bromeliaceae, Tillandsioideae), a genus endemic to Brazil: three new species, one new combination, and two new stigma types
FIGURE 1. A–I. Tubo-laciniate stigma type I. A. Stigmatodon amadoi (Leme 5953). B. S. apparicianus (Leme 7379). C. S. bifidus (Leme 7368). D–E. S. aff. brassicoides (Leme 6991). D. Side view. E. Front view. F. S. funebris (Leme 7876). G. S. gastinianus (Leme 9013). H. S. magnibracteatus (Leme 7357). I. Stigmadoton sp. (Leme 8021). J–N. Tubo-laciniate stigma type II. J–K. S. ilhanus (Leme 8997). J. Side view. K. Front view. L. S. plurifolius (Leme 6997). M–N. S. rosulatulus (Leme 8621) in different stages of development. Photos by E. Leme. Bars: = 2 mm.
FIGURE 3. Mitreola capitata. A in Novelties in Asian Mitreola (Loganiaceae): M. capitata, a new species from Vietnam, and lectotypification of M. spathulifolia
FIGURE 3. Mitreola capitata. A. Plant in situ with one anthetic and one fruiting (withered) inflorescence. B–E. Fruiting inflorescence and individual capsules in herbarium material (collected in withered condition). Nuraliev et al. NUR 3614. Photos by M.S. Nuraliev.
FIGURE 5. Tillandsia duidae L.B in Novelties in "incertae sedis" Vriesea (Bromeliaceae:Tillandsioideae): Redescriptions, new combinations and nomenclatural revision
FIGURE 5. Tillandsia duidae L.B.Sm. A. Holotype Tate 437 (NY; Courtesy of the C. V. Starr Virtual Herbarium, New York Botanical Garden, http://sweetgum.nybg.org/science/vh/). B. Illustration of the flower, petal, pistil and stamens (Lyman Smith's drawing at GH; Courtesy of the Gray Herbarium of Harvard University).
FIGURE 10 in Novelties in "incertae sedis" Vriesea (Bromeliaceae:Tillandsioideae): Redescriptions, new combinations and nomenclatural revision
FIGURE 10. Vriesea alta (Baker) É.Morren ex Mez. A. Flowers. B. Detail of the inflorescence. C. Specimen in LG herbarium, Morren s.n. (not found) D. Habit. (Photos: Lyman Smith in Gray Herbarium; Courtesy of the Gray Herbarium of Harvard University).
FIGURE 7 in Novelties in "incertae sedis" Vriesea (Bromeliaceae:Tillandsioideae): Redescriptions, new combinations and nomenclatural revision
FIGURE 7. Tillandsia schultesiana (L.B.Sm.) Kessous & A.F.Costa. A. Holotype, Schultes 12088 (US; Courtesy of the United States National Herbarium). B. Detail of the stigma (Photo: I.M. Kessous). C. Illustration of the sepal, petal and inflorescence (Smith & Downs 1977: 1120). D. Seed (Photo: I.M. Kessous).
ν-Anomica: A Fast Support Vector based Novelty Detection Technique
In this paper we propose ν-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the benchmark one-class Support Vector Machines algorithm. In ν-Anomica, the idea is to train the machine such that it can provide a close approximation to the exact decision plane using fewer training points and without losing much of the generalization performance of the classical approach. We have tested the proposed algorithm on a variety of continuous data sets under different conditions. We show that under all test conditions the developed procedure closely preserves the accuracy of standard oneclass Support Vector Machines while reducing both the training time and the test time by 5 − 20 times.
Anomica: Fast Support Vector Based Novelty Detection
In this paper we propose ν-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the benchmark one-class Support Vector Machines algorithm. In ν-Anomica, the idea is to train the machine such that it can provide a close approximation to the exact decision plane using fewer training points and without losing much of the generalization performance of the classical approach. We have tested the proposed algorithm on a variety of continuous data sets under different conditions. We show that under all test conditions the developed procedure closely preserves the accuracy of standard oneclass Support Vector Machines while reducing both the training time and the test time by 5 − 20 times.
Core protein synthesis adaptations drive biological novelty in octopus
GEO Series GSE284564. Octopus bimaculoides; Euprymna berryi. 24 samples. Type: Expression profiling by high throughput sequencing.
GPR158 in pyramidal neurons mediates social novelty behavior via modulating synaptic transmission in male mice
GEO Series GSE276304. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Hippocampal gene expression analysis highlights Ly6a/Sca-1 as candidate gene for previously mapped novelty induced behaviors in mice
GEO Series GSE29289. Mus musculus. 37 samples. Type: Expression profiling by array.
FIGURE 4. Mimosa pseudoracemosa. A in Novelties in Mimosa sect. Mimosa ser. Mimosa subser. Polycephalae: a new species, new status, and new synonyms
FIGURE 4. Mimosa pseudoracemosa. A. Habit (arrow). B. Leaves. C. Glomerule. D. Fruits.
Event-based surveillance corpus annotated for infectious events and their novelty
<p>Corpus of 305 event-based surveillance documents, in English (n=274) and in French (n=36). Epidemiological events related to infectious diseases were annotated in each document. The novelty of the events described in the 110 most recent documents was also annotated.</p> <p> </p>
Metabolic interactions control the spread of plasmid-encoded functional novelty during microbial range expansion
<p>Data set for project "<em>Metabolic interactions control the spread of plasmid-encoded functional novelty during microbial range expansion</em>"</p>
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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.