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11,177 results for “identify”
Identifying contributors to PM2.5 simulation biases of chemical transport model using fully connected neural networks
<p>The processed data and codes in the study are included. </p> <p><strong>Source data:</strong></p> <p>The training and testing dataset is composed of observed and simulated data of pollutants and meteorology in the BTH and YRD regions in the whole year of 2015. The processed datasets used for training are named as "dataset_BTH" and "dataset_YRD" in the folder.</p> <ul> <li><em>The hourly observed pollution data</em> are from China National Urban Air Quality Real-time Release Platform of the National Environmental Monitoring Station</li> <li><em>The hourly simulated pollutants data</em> comes from the output of WRF-CMAQv5.2 (spatial resolution of 27 km).</li> <li><em>Meteorological observation data</em> is provided by China Meteorological Data Service Centre</li> <li><em>The meteorological simulation data</em> comes from the simulation results of the WRF model</li> </ul> <p><strong>Codes:</strong></p> <ul> <li>preprocessing of raw CMAQ data, observed pollution data and meteorological data</li> <li>bulid and train process of fully connected neural networks</li> <li>calculation of correlation between variables</li> <li>feature selection method</li> <li>contribution analysis</li> </ul>
Example workflow using KLIFS nodes in KNIME - identifying structures with similar molecules
<p>This is KNIME workflow created during the recording of the following <a href="https://www.youtube.com/channel/UCzSo1G_wyTv1vp42AhFDT8A">YouTube demonstration video</a>.</p> <p>Using this workflow, the user can draw a molecule and compare this molecule to all ligands from the KLIFS database (<a href="https://klifs.net">https://klifs.net</a>) to identify structures with molecules that are similar to the drawn molecule.</p> <p>In this workflow the follow steps are performed:</p> <ul> <li>Draw a molecule</li> <li>Collect all kinase ligands with a known structures from KLIFS</li> <li>Compare all KLIFS ligands to the drawn molecule using the ECFP-4 fingerprint and calculate a Tanimoto score </li> <li>Select the highest scoring three ligands and search for their PDB structures</li> <li>Collect the MOL2 files of the ligands as observed while binding in the PDB structures (note: all the PDB structures were first aligned by KLIFS)</li> </ul>
Figure 9 in Can hair width and scale pattern and direction of dorsal scapular mammalian hair be a relatively simple means to identify species?
Figure 9. Scanning electron micrographs of mammalian hair. Little pocket mouse underfur (A); muskrat guard hair (B) and underfur (C); gold mantled ground squirrel guard hair (D, E) and underfur (F).
Figure 3 in Can hair width and scale pattern and direction of dorsal scapular mammalian hair be a relatively simple means to identify species?
Figure 3. Scanning electron micrographs of mammalian hair. Striped skunk guard hair (A, C) and underfur (B, D); American badger guard hair (E) and underfur (F).
Figure 4 in Can hair width and scale pattern and direction of dorsal scapular mammalian hair be a relatively simple means to identify species?
Figure 4. Scanning electron micrographs of mammalian hair. Northern raccoon guard hair (A) and underfur (B); American black bear guard hair (C) and underfur (D); pallid bat underfur (E, F).
Figure 1 in Can hair width and scale pattern and direction of dorsal scapular mammalian hair be a relatively simple means to identify species?
Figure 1. Scanning electron micrographs of mammalian hair. Bighorn sheep guard hair (A) and underfur (B); elk guard hair (C) and underfur (D); white tailed deer guard hair (E) and underfur (F).
Figure 8 in Can hair width and scale pattern and direction of dorsal scapular mammalian hair be a relatively simple means to identify species?
Figure 8. Scanning electron micrographs of mammalian hair. North American porcupine guard hair (A–C); northern pocket gopher underfur (D, E); little pocket mouse guard hair (F).
Figure 7 in Can hair width and scale pattern and direction of dorsal scapular mammalian hair be a relatively simple means to identify species?
Figure 7. Scanning electron micrographs of mammalian hair. White tailed jackrabbit guard hair (A) and underfur (B); American beaver guard hair (C) and underfur (D); North American porcupine guard hair (E, F).
Figure 2 in Can hair width and scale pattern and direction of dorsal scapular mammalian hair be a relatively simple means to identify species?
Figure 2. Scanning electron micrographs of mammalian hair. Coyote guard hair (A) and underfur (B); red fox guard hair (C) and underfur (D); cougar guard hair (E) and underfur (F).
Figure 5 in Can hair width and scale pattern and direction of dorsal scapular mammalian hair be a relatively simple means to identify species?
Figure 5. Scanning electron micrographs of mammalian hair. Pallid bat underfur (A); Virginia opossum guard hair (B) and underfur (C); Merriam's shrew guard hair (D, E) and underfur (F).
Figure 6 in Can hair width and scale pattern and direction of dorsal scapular mammalian hair be a relatively simple means to identify species?
Figure 6. Scanning electron micrographs of mammalian hair. Merriam's shrew guard hair (A); broad-footed mole guard hair (C, F) and underfur (B, D, E).
FIGURES 1–2 in High-density genetic mapping identifies new susceptibility loci for rheumatoid arthritis.
FIGURES 1–2. Helichus cordubensis: 1, male genitalia, ventral view; 2, lateral view of same. Locality of specimen used for the illustration: "Alta Gracia, La Granja. Sierra de Córdoba, Cordoba province, Argentina".
FIGURE 1 in DNA barcoding identifies a third invasive species of Eleutherodactylus (Anura: Eleutherodactylidae) in Panama City, Panama
FIGURE 1. Maxiumum likelihood phylogeny of Eleutherodactylus species based on a 518 base pair fragment of the 16S gene and assuming the geneneral time-reversible model of molecular evolution with 2 rate heterogeneity parameters (GTR+I+Γ). Tree rooted based on preliminary analyses of 42 GenBank samples and on Heinicke et al. (2007). Scale bar indicates an inferred branch length of 0.01 (1%). Statistical support for each node is indicated by its Bayesian marginal posterior probability followed by its parsimony bootstrap percentage, where a dash (-) indicates a probability <0.5 or a bootstrap score <50%. The three samples marked with an asterisk (*) were obtained for this study, while the other 16 sequences were obtained from GenBank (sample name starts with its GenBank accession number). Country of origin is by the corresponding ISO 3166-1 2-letter country code. Additional sample information is provided in text and in GenBank.
Figure 15. Scelidosaurus. The principal jaw adductor muscles identified. A, dorsal muscle origin map. B–D in Scelidosaurus harrisonii (Dinosauria: Ornithischia) from the Early Jurassic of Dorset, England: biology and phylogenetic relationships
Figure 15. Scelidosaurus. The principal jaw adductor muscles identified. A, dorsal muscle origin map. B–D, muscle reconstructions. Abbreviations: AN.OR, m. anguli oris; bod, bodenaponeurosis; MAMEM, m. adductor mandibulae externus medialis; MAMEP, profundus; MAMES, superficialis; MAMP, posterior; MLPt, levator pterygoideus; MPST, pseudotemporalis; MPT, pterygoideus.
Figure 10. Glyptothorax fucatus, KIZ 20050410936 in A taxonomic review of the catfish identified as Glyptothorax zanaensis (Teleostei: Siluriformes: Sisoridae), with the descriptions of two new species
Figure 10. Glyptothorax fucatus, KIZ 20050410936, holotype, 72.9 mm SL, China: Fugong River; A, dorsal view; B, lateral view; C, ventral view. Scale bar = 10 mm.
Figure 9. Glyptothorax granosus, KIZ 2000000534 in A taxonomic review of the catfish identified as Glyptothorax zanaensis (Teleostei: Siluriformes: Sisoridae), with the descriptions of two new species
Figure 9. Glyptothorax granosus, KIZ 2000000534, holotype, 61.8 mm SL, China: Manbu River; A, dorsal view; B, lateral view; C, ventral view. Scale bar = 10 mm.
Figure 5 in A taxonomic review of the catfish identified as Glyptothorax zanaensis (Teleostei: Siluriformes: Sisoridae), with the descriptions of two new species
Figure 5. Thoracic adhesive apparatus of: A, Glyptothorax zanaensis, KIZ 2000000534, 60.1 mm SL; B, Glyptothorax longinema, KIZ 740197, 67 mm SL; C, Glyptothorax fucatus sp. nov., KIZ 20050410936, 72.9 mm SL, D, Glyptothorax granosus sp. nov., KIZ 2000000534, 61.8 mm SL.
Figure 11. Glyptothorax granosus, CAS 222110 in A taxonomic review of the catfish identified as Glyptothorax zanaensis (Teleostei: Siluriformes: Sisoridae), with the descriptions of two new species
Figure 11. Glyptothorax granosus, CAS 222110, paratype, 47.0 mm SL, showing the unusual tuberculation pattern in juveniles of this species.
Figure 4. Glyptothorax zanaensis. A, IHB 6006653 in A taxonomic review of the catfish identified as Glyptothorax zanaensis (Teleostei: Siluriformes: Sisoridae), with the descriptions of two new species
Figure 4. Glyptothorax zanaensis. A, IHB 6006653, syntype, 74.6 mm SL; China: Zana; B, KIZ 2000000534, 60.1 mm SL; China: Shangpa. a, dorsal view; b, lateral view; c, ventral view.
Figure 3 in A taxonomic review of the catfish identified as Glyptothorax zanaensis (Teleostei: Siluriformes: Sisoridae), with the descriptions of two new species
Figure 3. Bayesian inference chronogram showing the phylogeny and divergence time of Glyptothorax in the upper Irrawaddy (Dayingjiang and Longchuanjiang), Mekong (Lancangjiang), and Salween (Nujiang) drainages. Node C1 represents the calibration point and others denote nodes of interest. Support values of each node given as following: posterior probability/maximum likelihood bootstrap/maximum parsimony bootstrap. Abbreviations: LCJ, Lancangjiang drainage; NJ, Nujiang drainage.
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.