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Figure 8 in Analysis of shape variability and life history strategies of Illex argentinus in the northern extreme of species distribution as a tool to differentiate spawning groups
Figure 8. Length distributions of Illex argentinus captured in south-southeastern Brazil between 22° and 33°S and 45 and 722 m depth from 2001 to 2013.
Figure 7 in Analysis of shape variability and life history strategies of Illex argentinus in the northern extreme of species distribution as a tool to differentiate spawning groups
Figure 7. (a) Mean gladius length (GL) in research cruise, and (b) mean individuals recent growth trajectories of squid captured in research cruise reconstructed from gladius.
Figure 10 in Analysis of shape variability and life history strategies of Illex argentinus in the northern extreme of species distribution as a tool to differentiate spawning groups
Figure 10. Size differentiation of squid groups during the period of growth reconstructed expressed by the variation of the coefficient of asymmetry (g1) of the length frequency distributions by growth interval (days).
Figure 9 in Analysis of shape variability and life history strategies of Illex argentinus in the northern extreme of species distribution as a tool to differentiate spawning groups
Figure 9. Gladius length frequency distributions of Illex argentinus reconstructed for the last 15 days before the capture from the measured increments on the gladius for the trawls 2–4 (T2-4) and trawls 9–14 (T9-14) of the research cruise.
Figure 6 in Analysis of shape variability and life history strategies of Illex argentinus in the northern extreme of species distribution as a tool to differentiate spawning groups
Figure 6. Barplots represents the length distributions of males and females of Illex argentinus captured during the fourth trimester of 2006 south-southeast of Brazil and a sample from the Uruguayan/Argentine common fishing zone collected in 2005, here defined as pre-migratory group (J). The analysis aimed to verify a possible correspondence between J and the expected MG, represented by two samples collected in the south (S) and central (C) portions of the studied area and if J is morphometrically different from the LG, captured in the north (N) portion of study area (Figure 1(c)). Plots represent the principal component analysis of the samples N, C, S and J. FRAL, length of the fourth right arm; BW, body weight; MW, mantle weight; MP, mantle perimeter.
Dataset for Paper: Evolution and differentiation of the cybersecurity communities in three social Q&A sites: a mixed-methods analysis
<p>The dataset of Stack Overflow from 2011-2020, Security Stack Exchange from 2011-2020, and three cybersecurity-related subreddits from 2015-2020.</p> <p>For more details, please see Readme.txt.</p> <p>If you have questions or want to discuss any research-related topics, contact me via: mtiwu@ucdavis.edu</p>
Fig. 5 in Molecular differentiation of Panax notoginseng grown under different conditions by internal extractive electrospray ionization mass spectrometry and multivariate analysis
Fig. 5. Multivariate statistical analysis results of 9 different types of Panax notoginseng samples. (a) Score scatter plot of 2D PCA model, (b) Score scatter plot of 3D PCA model, (c) Score scatter plot of OPLS-DA model, (d) Bar plot with OPLS-DA model of VIP.
Fig. 4 in Molecular differentiation of Panax notoginseng grown under different conditions by internal extractive electrospray ionization mass spectrometry and multivariate analysis
Fig. 4. Tandem MS analysis of characteristic ions in Panax notoginseng samples. (a) MS3 spectrum of m/z 1143 → 1107→, (b) MS3 spectrum of m/z 1193 → 1149→, (c) MS3 spectrum of m/z 885 → 841, (d) MS3 spectrum of m/z 1031 → 987, (e) MS3 spectrum of m/z 1245 → 1209, (f) MS3 spectrum of m/z 968 → 931.
Fig. 3 in Molecular differentiation of Panax notoginseng grown under different conditions by internal extractive electrospray ionization mass spectrometry and multivariate analysis
Fig. 3. Mass spectra of different types of Panax notoginseng samples analyzed by iEESI-MS. (a) Mass spectrum of Panax notoginseng from Kunming, (b) Mass spectrum of Panax notoginseng from Qujing, (c) Mass spectrum of Panax notoginseng from Hongjiaozhou, (d) Mass spectrum of Panax notoginseng from Wenshan (1 year), (e) Mass spectrum of Panax notoginseng from Wenshan (2 year), (f) Mass spectrum of Panax notoginseng from Wenshan (3 year), (g) Mass spectrum of Panax notoginseng from Hongjiaozhou (black soil), (h) Mass spectrum of Panax notoginseng from Hongjiaozhou (white soil), (i) Mass spectrum of Panax notoginseng from Hongjiaozhou (red soil). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Molecular differentiation of Panax notoginseng grown under different conditions by internal extractive electrospray ionization mass spectrometry and multivariate analysis
Fig. 2. Chemical structures of eight ginsenosides used in this study as reference standards. G, ginsenoside; NG, notoginsenoside; glc, glucoside; rha, rhamnoside; xyl, xyloside; ara, arabinoside.
Fig. 1 in Molecular differentiation of Panax notoginseng grown under different conditions by internal extractive electrospray ionization mass spectrometry and multivariate analysis
Fig. 1. Schematic illustration of iEESI-MS for direct analysis of Panax notoginseng samples. (a) Analytical procedure of Panax notoginseng analysis by iEESI-MS. Approximately 0.1 mg of Panax notoginseng tissue was loaded into the sample chamber by punching without sample pretreatment, (b) Disposable iEESI device and its components, (c) Photo of iEESI-MS interface.
Supplementary material 1 from: Sasakawa K, Mitsuduka Y (2023) A morphology-based revision and phylogenetic analysis of the Pterostichus macrogenys species group (Coleoptera, Carabidae) and implications for differentiation of the species group. Deutsche Entomologische Zeitschrift 70(2): 291-310. https://doi.org/10.3897/dez.70.107322
Proposed Japanese name for species treated in the present study and BLc (mm) of each taxon, compiled from published literature and the authors' unpublished data
Dataset for the article "Differentiation of Self in Adolescents: Measurement Invariance Analysis across six Spanish-Speaking Countries"
<p>Dataset of the article "Differentiation of Self in Adolescents: Measurement Invariance Analysis across six Spanish-Speaking Countries".</p>
Dataset from RNAseq analysis of differential gene expression among developmental stages of two non-marine ostracods
<p>Dataset comprising tree files and alignments used for phylogenetic validation of data, assemblies of reference transcriptomes and draft genomes, annotation of draft genomes, as well as supplementary tables.</p>
Systematic Review and Meta-analysis of the Differential Effects of DHA and EPA on Inflammation
ClinicalTrials.gov study NCT03520556. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Differentiate Children Septic and Inflammatory Arthritis by Comparative Analysis
ClinicalTrials.gov study NCT03827759. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Differential Mobility Spectrometry (DMS) Based Oral Tumor Analysis
ClinicalTrials.gov study NCT05902455. IPD Sharing: NO. Countries: 1. Publications: 6.
Differentiation of Malig. & Ben. Solitary Pulm. Nodules & Prediction of Clin. Outcome Using Perfus. Analysis of DCEMRI
ClinicalTrials.gov study NCT00172575. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Differential Mobility Spectrometry (DMS) Based Skin Tumor Analysis
ClinicalTrials.gov study NCT05247710. IPD Sharing: NO. Countries: 1. Publications: 7.
AI-Based Medical Data Analysis for Differentiating Inflammatory vs Degenerative Joint Diseases in Elderly Patients
ClinicalTrials.gov study NCT07153315. IPD Sharing: Not stated. Countries: 1. Publications: 3.
ScienceDex guides
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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.