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1,840 results for “Representative”
Figure 1c from: Rocchini D, Garzon-Lopez CX (2017) Cartograms tool to represent spatial uncertainty in species distribution. Research Ideas and Outcomes 3: e12029. https://doi.org/10.3897/rio.3.e12029
Figure 1c - Animals
Figure 1a from: Rocchini D, Garzon-Lopez CX (2017) Cartograms tool to represent spatial uncertainty in species distribution. Research Ideas and Outcomes 3: e12029. https://doi.org/10.3897/rio.3.e12029
Figure 1a - Plants
PKZILLA domain phylogenies with outgroup representatives from Uniprot
<p>Source data files, executable code, and results for PKZILLA domain phylogenetic analysis, with inclusion of representative PKS domain outgroups from Uniprot.</p> <p><strong>Difference from previous version:</strong></p> <p>Difference between v1.0 to v1.1 of this Zenodo item series: is the text in the final plots has highlighting to allow the reader to quickly appreciate it without having to look closely at each taxonomic identifier, and KR11f0, KR20f0 were renamed in the plots to K11*<em>, </em>KR20*, respectively, based on new interpretations. </p> <p>Difference between v1.1 to v1.2: </p> <p><strong>Domain phylogenetics method:</strong></p> <p>Representative PKS domains from bacteria, fungi, dinoflagellates, haptophytes, and human FAS were downloaded from the InterPro API using high level queries for taxonomically restricted polypeptides with the presence of PKS domains, and their Uniprot reviewed (Swiss-Prot) or unreviewed (TrEMBL) status, and then further filtered based on the presence of well known polyketide names in the metadata of the matching Uniprot entry (see impactful_polyketides.tsv):</p> <p>erythromycin<br>rapamycin<br>sirolimus<br>doxorubicin<br>amphotericin<br>tacrolimus<br>fk506<br>mupirocin<br>nystatin<br>ivermectin<br>salinomycin<br>monensin<br>tetracycline<br>doxorubicin<br>plicamycin<br>daunorubicin<br>epothilone<br>discodermolide<br>brefeldin<br>narasin<br>pikromycin<br>actinorhodin<br>aflatoxin<br>lovastatin<br>saxitoxin<br>quinolidomicin<br>curacin</p> <p>The PKS domains of the PKZILLAs and those PKS domains from the representative Uniprot PKS polypeptides were then multiple sequence aligned with kalign2 v2.0.4 and maximum likelihood phylograms calculated with RAxML-NG v. 1.2.2 (see manuscript for details)</p> <p>Plots were generated from the resulting newick files using ete3 v3.1.3 (Huerta-Cepas et al. 2016). Text within PDF plots was highlighted with color using PyMuPDF v1.23.19.</p> <p><strong>References:</strong></p> <div> <div> <div>J. Huerta-Cepas, F. Serra, and P. Bork, “ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data,” <em>Molecular Biology and Evolution</em>, vol. 33, no. 6, pp. 1635–1638, Jun. 2016, doi: <a href="https://doi.org/10.1093/molbev/msw046">10.1093/molbev/msw046</a>.</div> </div> </div> <p> </p>
Representative slide scans from Lockhart et al., https://www.biorxiv.org/content/10.1101/2024.04.28.591512v1
Open the record for dataset details and reuse information.
Benchmarking Turbulence Models to Represent Cloud-Edge Mixing
<p>This is the simulation output of the submitted manuscript "Benchmarking Turbulence Models to Represent Cloud-Edge Mixing" to the Journal of Atmospheric Sciences. </p> <p>Abstract: Considering turbulence is crucial to understand clouds. However, covering all scales involved in the turbulent mixing of clouds with their environment is computationally challenging, urging the need for simple models to represent some of the involved processes. By using full direct numerical simulations as a reference, this study compares several statistical approaches for representing small-scale turbulent mixing. All models use a comparable Lagrangian representation of cloud microphysics, and simulate the same cases of cloud edge mixing, covering different ambient humidities and turbulence intensities. It is demonstrated that all statistical models represent the evolution of thermodynamics successfully, but not all models capture the changes in cloud microphysics (cloud droplet number concentration, droplet mean radius, and spectral width). Implications of these results for using the presented models as subgrid-scale schemes are discussed.</p> <p>The raw data presented here was produced by five different models and is completely available. For information on how the dataset is structured, see the readme.txt.</p>
FIG. 2 in Australian representatives of Macrostelia transferred to Hibiscus (Malvaceae), with the description of a new species
FIG. 2. — Holotype of Hibiscus propulsator Craven & B.E. Pfeil.
Figures 6-7 from: Mendivil Nieto J, Garcia Aldrete A, González Obando R (2012) A pair of new sister species of Loneura (Psocodea, 'Psocoptera', Ptiloneuridae) from Valle del Cauca, Colombia, representing a new infrageneric group. ZooKeys 168: 65-76. https://doi.org/10.3897/zookeys.168.2508
Figures 6-7 - Loneura tuluaensis sp. n. Side view 6 female 7 male. Scale in mm.
Figures 51- 52 from: Shaverdo H, Sagata K, Panjaitan R, Menufandu H, Balke M (2014) Description of 23 new species of the Exocelina ekari-group from New Guinea, with a key to all representatives of the species group (Coleoptera, Dytiscidae, Copelatinae). ZooKeys 468: 1-83. https://doi.org/10.3897/zookeys.468.8506
Figures 51- 52 - Habitus and coloration. 51 Exocelina lembena sp. n. 52 Exocelina pseudoeme sp. n.
Figure 50 from: Shaverdo H, Sagata K, Balke M (2018) Introduction of the Exocelina casuarina-group, with a key to its representatives and descriptions of 19 new species from New Guinea (Coleoptera, Dytiscidae, Copelatinae). ZooKeys 803: 7-70. https://doi.org/10.3897/zookeys.803.28903
Figure 50 Map of New Guinea showing distribution of the species.
Figure S1. Spearman correlation matrix representing the relationships of each essential trace elements between biological matrices
<p>Blue represents a positive correlation, while red represents a negative correlation. Color intensity is proportional to the correlation strength. Strikethrough values represent insignificant/negligible associations (p>0.05). FF, follicular fluid; P, plasma; U, urine.</p>
Open Addresses Nationally Representative Subset (1m)
<p>Dataset used to validate POINT geocoder. Derived from Open Addresses by randomly sampling 1 million addresses weighted by state population.</p>
Representative movies of dynamic changes in RlmI
<p>"RlmI_Trajectory1.mp4": Representative movie of "domain-III" closure in trajectory1</p> <p>"RlmI_Trajectory2.mp4": Representative movie of "domain-III" closure in trajectory2</p> <p>The movies was created by "VMD"</p>
Fig. 3 in The Early Eocene bird Gallinuloides wyomingensis -a stem group representative of Galliformes
Fig. 3. Gallinuloides wyomingensis, skull (WDC CGR−012). Scale bar 20 mm.
The First United Arab Emirates National Representative Birth Cohort Study
ClinicalTrials.gov study NCT04928898. IPD Sharing: NO. Countries: 1. Publications: 0.
Study to Look for Artifact on Computed Tomography (CT) Representing Kidney Stones
ClinicalTrials.gov study NCT01187745. IPD Sharing: Not stated. Countries: 1. Publications: 0.
More Representative Vaginal Temperature Measurements With a Hyperthermia Pelotte During Hyperthermia Treatments for Gynaecological Cancer.
ClinicalTrials.gov study NCT07235540. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessing the Effect of DZD9008 on the Pharmacokinetics of the Cocktail Probes Representative for CYP3A4, P-gp, BCRP and OATP1B1 in Patients with EGFR or HER2 Mutant Advanced Non-small Cell Lung Cance
ClinicalTrials.gov study NCT05926180. IPD Sharing: NO. Countries: 1. Publications: 0.
Developing Strategies to Facilitate Consent of Legally Authorized Representatives to Clinical Trials
ClinicalTrials.gov study NCT06471400. IPD Sharing: NO. Countries: 1. Publications: 0.
Nutrition and Obesity in Under-Represented Populations: Food Insecurity Research to Advance Science and Improve Health
ClinicalTrials.gov study NCT06116422. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of the Effectiveness of Standard and Innovative Products That Represent a Substitute Meal for Weight Management in a Reduction Diet
ClinicalTrials.gov study NCT05733871. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.