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69 results for “event identification”
Fig. 2 in Fig. 4 in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 2. Rapisma taiwanense sp. nov. (A) male genitalia, dorsal view; (B) male genitalia, ventral view; (C) male gonocoxites and gonostyli 11, dorsal view; (D) male gonocoxites and gonostyli 11, ventral view. c, callus cercus; e, ectoproct; gx, gonocoxite; gst, gonostylus; T, tergum; S, sternum. Scale bars: A–B = 1.0 mm; C–D = 0.5 mm.
Fig. 4 in Fig. 4 in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 4. Live specimen and habitat of Rapisma taiwanense sp. nov. (A) paratype female adult, dorsal view. Photo by Yu-Chun Lin; (B) habitat of R. taiwanense in Beidelaman Trail, Hsinchu.
Fig. 1 in Fig. 4 in Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 1. Rapisma taiwanense sp. nov. (A) holotype male, habitus photo; (B) paratype female, habitus photo; (C) head, frontal view, holotype male; (D) head, frontal view, paratype female. Scale bars: A–B = 5.0 mm; C–D = 0.5 mm.
Fig. 4 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 4. Spatial analysis of vicariance. A-B: Hypothetical barrier at vicariant node 44 (A) and 64 (B); red and blue dots show disjunct sister clades.
Fig. 3 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 3. Spatial analysis of vicariance. A: Tree of the Leptodactylus fuscus group showing a consensus reconstruction of historical biogeography by vicariance inference. Green squares show disjunction; red empty squares show the nodes ignored by the program. B–D: Hypothetical barrier at vicariant node 71 (B), 68 (C) and 55 (D); red and blue dots show disjunct sister clades.
Fig. 1 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 1. Leptodactylus fuscus group species distribution area. Biogeographical subregions and provinces proposed by Morrone (2006) are shown in different colors. A: Caribbean subregion; B: Chacoan subregion; C: Parana subregion; D: Amazonian subregion; E: North American Pacific subregion; F: Mexican transition zone region; G: South American transition zone region.
Fig. 2 in Historical Biogeography of the Group (Anura, Leptodactylidae): Identification of Ancestral Areas and Events that Modeled their Distribution.
Fig. 2. Ancestral areas of Leptodactylus fuscus group. Nodes show the most probable state. The letters and coarse colored circles indicate the ancestral areas of each node. Green, blue and yellow thin circles show vicariance, dispersions and extinctions events, respectively. A: Caribbean subregion; B: Chacoan subregion; C: Parana subregion; D: Amazonian subregion; E: North American Pacific subregion.
Fig. 2 in Fish kill in Ismarida lake, Greece: identification of drivers contributing to the event Abstract
Fig. 2: Dead fish along the seaward entry channel and inside the permanent fishing devices.
Supplemental Information in Support of "Moment tensor event identification for collapses"
<p>Supplemental Information in support of manuscript "Moment tensor event identification for collapses".</p> <p>File 00_Collapse_MT_Table.csv is a summary of moment tensor solutions for all of the collapses in this manuscript.</p> <p>A Jupyter notebook (file 00_Collapse_MT_Table.ipynb) is provided which loads the information from the provided table and creates an example plot of one of the full moment tensor solutions and plots all the solutions on a global map. The notebook creates two PNG images mt.png and map.png which are also provided.</p> <p>Directories (e.g., 1980-06-12_Southern_Nevada) contain figures showing waveform fits for the collapses. For each event, the waveforms to the left show displacement data (black) and synthetics (red - used in inversion, blue - predicted only) for the vertical, radial, and transverse components. Detailed information about the event and the moment tensor solution are provided on the right-hand side of the last figure.</p>
Supplementary figures for 'Domino: A new framework for the automated identification of weather event precursors, demonstrated for European extreme rainfall.'
<p>Supplementary dynamics and skill plots for the paper 'Domino: A new framework for the automated identification of weather event precursors, demonstrated for European extreme rainfall', submitted to QJRMS.</p>
Identification of transient seismo-acoustic signals from crashing ocean waves: Template matching and location of discrete surf events
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Data from: Recurrent hybridisation events between Primula vulgaris, P. veris and P. elatior (Primulaceae, Ericales) challenge the species boundaries: Using molecular markers to re‐evaluate morphological identifications
Three Primula species, Primula vulgaris, P. veris and P. elatior, have been objects of fascination for gardeners and botanists over several centuries. The species are able to hybridise, and where they co-occur, hybrids are commonly found. In Denmark, Møns Klint on the island of Møn and Købelev Skov on Lolland are examples of localities where all three species occur and where the hybrids P. ×digenea, the hybrid between P. vulgaris and P. elatior, and P. ×polyantha, the hybrid between P. veris and P. vulgaris, can also be found. To investigate relations between the species and their hybrids, 168 specimens from 10 geographical locations were sampled for genetic analysis using DNA markers and identified based on morphological traits, primarily inflorescense structure, the size, shape, colour and markings of corolla and leaf basis, leaf blade texture and hairiness. After identifying species-specific SNPs in the internal transcribed spacer sequence, these were used to resolve species and hybrid boundaries and status through a cleaved amplified polymorphic sequence assay. Polymorphisms in the chloroplast trnL sequence were used as a high-throughput marker and used to determine the maternal parent of hybrids. Ten simple sequence repeat markers were applied to obtain further insight into the genetic makeup of the accessions using Structure and Introgress, providing information of genetic variability within and between populations. Data analyses indicated that backcrossing of P. ×digenea hybrids with parental species has occurred, and that many of the P. ×digenea found in the study were later-generation hybrids rather than F1s. Analyses of P. ×polyantha specimens show mostly the expected pattern for primary hybrids but indications of P. veris ancestry of a P. vulgaris plant was discovered. Our results further indicate that some of the specimens initially identified as P. elatior include P. vulgaris among their progenitors and thus challenge currently accepted species boundaries.
Dataset for "Public Health Benefits from Improved Identification of Severe Air Pollution Events with Geostationary Satellite Data"
<p>Dataset for "Public Health Benefits from Improved Identification of Severe Air Pollution Events with Geostationary Satellite Data" to be published in GeoHealth doi: 10.1029/2023GH000890</p>
Data for Objective identification of pressure wave events from networks of 1-Hz, high-precision sensors
<p>Data from pressure sensors assembled by Matthew Miller which consist of either a Bosch BMP388 or Bosch BME280 Adafruit breakout board connected to a Raspberry Pi Zero W single-board computer used to log the data. Data are recorded at 1-second intervals. The data are stored in .csv files: one for each day for each sensor. Sensors were placed in networks in the Toronto, ON, Canada, New York, NY, USA, and Raleigh, NC, USA metro areas. Code for processing these data can be found at https://doi.org/10.5281/zenodo.8087843.</p>
ECG Methods for the Prompt Identification of Coronary Events
ClinicalTrials.gov study NCT04237688. IPD Sharing: NO. Countries: 1. Publications: 4.
Identification of Risk Factors for Acute Coronary Events by OCT After STEMI and NSTEMI in Patients With Residual Non-flow Limiting Lesions
ClinicalTrials.gov study NCT03857971. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Identification of Pathways to Mitigate Immune-Related Adverse Events With Cancer Immunotherapy
ClinicalTrials.gov study NCT04283539. IPD Sharing: Not stated. Countries: 1. Publications: 0.
PREventing Adverse Events Post-Discharge Through Proactive Identification, Multidisciplinary Communication, and Technology
ClinicalTrials.gov study NCT05232656. IPD Sharing: NO. Countries: 1. Publications: 1.
Identification of Genomic Predictors of Adverse Events After Cardiac Surgery
ClinicalTrials.gov study NCT01258231. IPD Sharing: Not stated. Countries: 1. Publications: 12.
Data from: Recurrent hybridisation events between Primula vulgaris, P. veris and P. elatior (Primulaceae, Ericales) challenge the species boundaries: Using molecular markers to re‐evaluate morphological identifications
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International Brain Laboratory public data
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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.