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FIGURE 5 in The RNA-seq approach to discriminate gene expression profiles in response to Beauveria bassiana and Micrococcus luteus microbial pathogens on Actias selene (Lepidoptera: Saturniidae)
FIGURE 5. GO classification of annotated differentially expressed genes in ML vs. PBS group. The DEGs were categorized into 41 functional groups and were summarized in three main categories: biological process, cellular component and molecular function. The X-axis represents the number of genes noted on the GO item, and the Y-axis represents the GO functional classification.
FIGURE 3 in The RNA-seq approach to discriminate gene expression profiles in response to Beauveria bassiana and Micrococcus luteus microbial pathogens on Actias selene (Lepidoptera: Saturniidae)
FIGURE 3. KEGG classification map of differentially expressed genes in ML vs. PBS group. The X axis was the number of genes annotated into a certain KEGG Pathway category, and the Y axis was the KEGG Pathway category. Different colors present different metabolic functions.
FIGURE 2 in The RNA-seq approach to discriminate gene expression profiles in response to Beauveria bassiana and Micrococcus luteus microbial pathogens on Actias selene (Lepidoptera: Saturniidae)
FIGURE 2. KEGG classification map of differentially expressed genes in Bb vs. PBS group. The X axis was the number of genes annotated into a certain KEGG Pathway category, and the Y axis was the KEGG Pathway category. Different colors present different metabolic functions.
Profile distribution of pH at 31N in the East China Sea Shelf from 2000 to 2016 year
<p>A monthly pH<sub>T</sub> in the East China Sea for the period 2001-2016 was obtained using the monthly temperature, salinity, dissolved oxygen, nitrate, phosphate and silicate from the FVCOM model system and the spatiotemporal resolution of pH<sub>T</sub> is determined by the FVCOM model system: 1-10 km in the horizontal, 10 depth levels (0-100m) in the vertical, and 12 months.</p>
Temperature profile measurements in the debris-covered headwalls of four thaw slumps in the Tuktoyaktuk Coastlands, Northwest Territories, Canada
<p>Temperature profile measurements in the debris-covered headwalls of four thaw slumps in the Tuktoyaktuk Coastlands, Northwest Territories, Canada, summer 2018</p> <p>Instruments<br> We used iButton probes (DS1922L; maxim integrated) that were coated with resin.<br> We submerged the probes in an ice bath from 2018-5-31 22:00 - 2018-06-01 11:00.</p> <p>Deployment<br> The iButtons were anchored in hollow, sealed rods. The rods were inserted so that iButtons were located at 5, 20 and 35 cm depth.<br> The rods contained the following iButtons at (05, 20, 35) cm depth [None indicating that there was no probe in the respective slot]:<br> Rod, (probe at 5 cm, probe at 20 cm, probe at 35 cm),<br> 1, (01,02,03)<br> 2, (None,04,None)<br> 3, (None,05,None)<br> 4, (06,07,08)<br> 5, (09,10,11)<br> 6, (None,12,None)<br> 7, (None,13,None)<br> 8, (None,14,None)<br> 9, (16,15,None)<br> 10, (17,18,19)</p> <p>Locations<br> Top Lake:<br> Location: 68.757N, 133.520W<br> Rods: 4 (central), 7 (23 cm above central rod in dip direction), 1 (25 cm from central rod in strike direction [west]), 6 (23 cm below central rod in dip direction), 20 (10 m from headwall; slump floor)<br> Deployment: 2018-06-15 - 2018-08-05</p> <p> Evan Lake:<br> Location: 68.754N, 133.464W<br> Rods: 9 (central)<br> Deployment: 2018-06-13 - 2018-08-24</p> <p> Roadside:<br> Location: 69.007N, 133.361W<br> Rods: 10 (central), 2 (20 cm above central rod in dip direction), 8 (20 cm from central rod in strike direction [west]), 3 (20 cm below central rod in dip direction)<br> Deployment: 2018-06-27 - 2018-08-21</p> <p> Timbit Lake:<br> Location: 69.105N, 133.290W<br> Rods: 5 (central)<br> Deployment: 2018-06-15 - lost<br> <br> Data description:<br> Each XX.txt file contains the native output of the iButton software by maxim integrated for probe XX. A calibration offset can be estimated from the average temperature recorded during the ice-bath calibration period.</p>
Changes in microbiome and metabolomic profiles of fecal samples stored with stabilizing solution at room temperature
<p>Metabolite profiles of samples stored at room temperature. </p> <p>Fecal samples from three individuals were stored in non-stabilization condition and in OMNIgene.GUT metagenome stabilization solution up to 21 days. Their metabolites were profiled with ultra-performance liquid chromatograph (UPLC) - quadrupole time-of-flight (Q-TOF) mass-spectrometry pipeline on an Acquity UPLC-Q-TOF instrument (Waters, Milford, MA, USA) equipped with an Acquity UPLC BEH C18 column. </p> <p> </p> <p>* MetabolitePeak.xlsx : Metabolite profile</p> <p>* MetabolitePeak.xlsx : Metabolite peak information</p> <p>* Sample.xlsx : Sample preservation condition</p> <p> </p>
Actual and predicted distributions of Adoxotoma and Helpis, triangles: actual distribution from field data, and predicted distribution based upon bioclimatic profile for each genus. Growing shade intensity illustrates likelihood of occurrence. in A new genus and five new species of Astieae (Araneae: Salticidae) from Australia, with remarks on distribution
Actual and predicted distributions of Adoxotoma and Helpis, triangles: actual distribution from field data, and predicted distribution based upon bioclimatic profile for each genus. Growing shade intensity illustrates likelihood of occurrence.
Fig. 5 in Transcriptome profiling of Symbion pandora (phylum Cycliophora): insights from a differential gene expression analysis
Fig. 5 Differential transcript expression analysis. Bar charts represent the enriched molecular functions associated with the upregulated genes in a feeding stages with Prometheus larva(e) and b feeding stages alone
Fig. 4 in Transcriptome profiling of Symbion pandora (phylum Cycliophora): insights from a differential gene expression analysis
Fig. 4 Differential transcript expression analysis. Bar charts represent the enriched biological processes associated with the upregulated genes in a feeding stages with Prometheus larva(e) and b feeding stages alone
Fig. 2 in Transcriptome profiling of Symbion pandora (phylum Cycliophora): insights from a differential gene expression analysis
Fig. 2 Scheme of the methodology employed in this study. In a first approach, the reference transcriptome (workflow in grey) was assembled de novo from three distinct life cycle stages: the feeding stage alone (asexual generation; note that in young feeding stages, the buccal funnel is located inside in the trunk), the feeding stage with Prometheus larva(e) attached to its trunk (sexual generation) and the free-swimming chordoid larva. Secondly, in the differential gene expression analysis (workflow in black), only two different conditions were investigated: feeding stages with Prometheus larva(e) attached to its trunk and feeding stages alone. Finally, sequenced reads were mapped to the reference transcriptome
Fig. 6 in Transcriptome profiling of Symbion pandora (phylum Cycliophora): insights from a differential gene expression analysis
Fig. 6 Differential transcript expression analysis. Bar charts represent the enriched cellular components associated with the upregulated genes in a feeding stages with Prometheus larva(e) and b feeding stages alone
Fig. 6 Bachia trinitatis. a Crown view UWIMZ2010.12.44c. b Profile FMNH 49881. c Gular view. d Manus. e Pes. f. FMNH 49880d in The reduced limbed lizards of the genus Bachia (Reptilia, Squamata, Gymnophthalmidae); biogeography, cryptic diversity, and morphological convergence in the eastern Caribbean
Fig. 6 Bachia trinitatis. a Crown view UWIMZ2010.12.44c. b Profile FMNH 49881. c Gular view. d Manus. e Pes. f. FMNH 49880d cleared and stained manus; arrow points to the reduced first digit, not readily visible in complete specimens. Each bar is about 1 mm
Fig. 2 Sectioned solemydid specimens and resulting binary images used for compactness analysis with Bone Profiler. a in Shell bone histology of solemydid turtles (stem Testudines): palaeoecological implications
Fig. 2 Sectioned solemydid specimens and resulting binary images used for compactness analysis with Bone Profiler. a Solemys vermiculata, costal fragment (MCNA-15047). b Solemys vermiculata, shell fragment (MCNA-15046). c Solemys sp., costal fragment (UPUAM-14001)
Metabolic profiles of IgA nephropathy, membranous nephropathy, and diabetic nephropathy
<p><span><strong>Supplementary Figure 1 </strong>Quality control analysis (A) Pearson correlation between quality control samples (positive mode) (B) principal component (PC) plot of five groups (positive mode, 2 dimensions) (C) PC plot of five groups (positive mode, 3 dimensions) (D) Pearson correlation between QC samples (negative mode) (E) PC plot of five groups (negative mode, 2 dimensions) (F) PC plot of five groups (negative mode, 3 dimensions). <strong>Supplementary Figure 2 </strong>Heatmaps of differential metabolites (A) IgA nephropathy (IgAN) vs controls pair (positive mode) (B) membranous nephropathy (MN) vs controls pair (positive mode) (C) diabetic nephropathy (DN) vs controls pair (positive mode) (D) IgAN vs controls pair (negative mode) (E) MN vs controls pair (negative mode) (F) DN vs controls pair (negative mode). <strong>Supplementary table 1 </strong>List of differential metabolites in three comparison pairs (positive mode). <strong>Supplementary table 2 </strong>List of differential metabolites in three comparison pairs (negative mode). <strong>Supplementary table 3 </strong>KEGG enrichment pathways</span></p>
FIG. 4. Average T in Testosterone and Corticosterone Profiles and Body Condition of Calling and Non-calling Lithobates grylio
FIG. 4. Average T concentration for calling and non-calling males of L. grylio across months, where like letters indicate non-significant differences in concentrations and numbers indicate sample size. A significant seasonal decrease was observed in circulating T (F3,31 ¼ 16.187; P, 0.001).
FIG. 5. A in Testosterone and Corticosterone Profiles and Body Condition of Calling and Non-calling Lithobates grylio
FIG. 5. A linear regression of ambient call rates averaged over one minute and circulating T for individual males. Individual circulating T was positively correlated with the number of conspecific calls recorded during each respective evening of sampling (R2 ¼ 0.285; Ŷ ¼ i 3895.38þ31.08Xi; P, 0.01).
FIG. 7 in Testosterone and Corticosterone Profiles and Body Condition of Calling and Non-calling Lithobates grylio
FIG. 7. Linear regression of circulating CORT and glucose concentrations in calling and non-calling males shows the amount of glucose in circulation positively correlates with circulating CORT within non-calling males (R2 ¼ 0.665; Ŷ ¼ 31.447 þ 0.098X; P, 0.001). The regression i i line is only indicative of a relationship between CORT and glucose concentrations for non-calling males, as there was no significant relationship between CORT and glucose in calling males (R2 ¼ 0.149; P ¼ 0.305).
FIG. 2 in Testosterone and Corticosterone Profiles and Body Condition of Calling and Non-calling Lithobates grylio
FIG. 2. (A) A linear regression of SVL and body mass suggests a positive linear allometric relationship between the variables (R2 ¼ 0.21; Ŷ ¼ i 37.64þ1.26Xi; P ¼ 0.02). (B) A boxplot of the residuals from Figure 2A for the ethotypes indicates calling males have significantly higher body masses than what is predicted by the SVL and body mass regression line (t23 ¼ 5.599; P, 0.001). Box size is based on the range of data points falling between the 2nd and 3rd quartiles. Mean is represented by the filled circle and median by the bold line.
FIG. 1 in Testosterone and Corticosterone Profiles and Body Condition of Calling and Non-calling Lithobates grylio
FIG. 1. Boxplots illustrating average (A) body mass, (B) snout–vent length (SVL), and (C) body condition index (BCI ¼ mass/SVL) for calling (n ¼ 11) and non-calling (n ¼ 14) males. Calling males had significantly higher body masses (A; t23 ¼ 3.725; P ¼.001) and body condition indices (C; t23 ¼ 5.599; P, 0.001) than non-callers. SVL did not significantly differ (n.s.) between the two ethotypes (B; t23 ¼ 0.577; P ¼ 0.570). Box size is based on the range of data points falling between the 2nd and 3rd quartiles. Mean is represented by the filled circle and median by the bold line. Open circles denote potential outliers that were not omitted from statistical analysis.
FIG. 3 in Testosterone and Corticosterone Profiles and Body Condition of Calling and Non-calling Lithobates grylio
FIG. 3. (A) Average circulating T in calling (n ¼ 20) and non-calling males (n ¼ 16). The numbers on the bars indicate sample size. T was significantly higher in callers (t34 ¼ 2.987; P, 0.01). (B) Average circulating CORT in calling (n ¼ 19) and non-calling (n ¼ 17) males, where CORT was elevated in non-callers (t ¼ 2.153; P ¼ 0.0381). Box size is based on the range of data points falling between the 2nd and 3rd quartiles. Mean is represented by 36 the filled circle and median by the bold line. Open circles denote potential outliers that were not omitted from statistical analysis.
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.