Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
55
datasets available to search
ShareScore release 0.7.1
Dataset results
55 results for “biotype”
ClostriTof microflex Biotyper library plugin and associated raw Maldi spectra version 2.0
<p>This dataset contains the ClostriTof microflex Biotyper library plugin, an installation guide as well as the raw spectral data for all library and validation strains used to construct the ClostriTof library plugin.</p> <p>If you use this library for your research, please cite Asare et al., Frontiers in Microbiology, 2023; <a href="https://doi.org/10.3389/fmicb.2023.1104707">https://doi.org/10.3389/fmicb.2023.1104707</a></p> <p>We would like to thank Thomas Maier for his help with assembling version 2.0 of the ClostriTOF Database.</p>
In vitro Evaluation of Biofield Treatment on Enterobacter cloacae: Impact on Antimicrobial Susceptibility and Biotype
<p>This research work investigated the influence of biofield treatment on <em>Enterobacter cloacae</em> (ATCC 13047) against antimicrobial susceptibility. Two sets of ATCC samples were taken in this experiment and denoted as A and B. ATCC A sample was revived and divided into two parts Gr. I (control) and Gr. II (revived); likewise, ATCC B was labeled as Gr. III (lyophilized). Group II and III were given with biofield treatment. The control and treatment groups of E. cloacae cells were tested with respect to antimicrobial susceptibility, biochemical reactions pattern and biotype number. The result showed significant decrease in the minimum inhibitory concentration (MIC) value of aztreonam and ceftazidime (≤ 8 μg/mL), as compared to control group (≥ 16 μg/mL). It was observed that 9% reaction was altered in the treated groups with respect to control out of the 33 biochemical reactions. Moreover, biotype number of this organism was substantially changed in group II (7731 7376) and group III (7710 3176) on day 10 as compared to control (7710 3376). The result suggested that biofield treatment had an impact on <em>E. cloacae</em> with respect to antimicrobial susceptibility, alteration of biochemical reactions pattern and biotype.</p> <p><strong>Source:</strong></p> <ul> <li><a href="https://www.trivedieffect.com/science/in-vitro-evaluation-of-biofield-treatment-on-enterobacter-cloacae-impact-on-antimicrobial-susceptibility-and-biotype">https://www.trivedieffect.com/science/in-vitro-evaluation-of-biofield-treatment-on-enterobacter-cloacae-impact-on-antimicrobial-susceptibility-and-biotype</a></li> <li><a href="https://www.omicsonline.org/open-access/in-vitro-evaluation-of-biofield-treatment-on-enterobacter-cloacae-impact-onantimicrobial-susceptibility-and-biotype-2155-9597-1000241.php?aid=60445">https://www.omicsonline.org/open-access/in-vitro-evaluation-of-biofield-treatment-on-enterobacter-cloacae-impact-onantimicrobial-susceptibility-and-biotype-2155-9597-1000241.php?aid=60445</a></li> </ul>
Fig. 6 in Morphometric Variation Of Hybridizing Species And Gynogenetic Biotypes Of Spined Loaches (Cobitidae, Cobitis) In River Systems Of Ukraine
Fig. 6. UPGMA clustering of biotypes by Mahalanobis distances calculated for body measurements and indices separately. Rectangles bounds the clusters with more than 90 % AU-support.
Fig 5. 95 in Morphometric Variation Of Hybridizing Species And Gynogenetic Biotypes Of Spined Loaches (Cobitidae, Cobitis) In River Systems Of Ukraine
Fig 5. 95 % confidence ellipses of the biotypes in the morphospace of four between-group principal components calculated for indices. Mean groups of each biotype is marked with black point and designation.
Fig. 3. 95 in Morphometric Variation Of Hybridizing Species And Gynogenetic Biotypes Of Spined Loaches (Cobitidae, Cobitis) In River Systems Of Ukraine
Fig. 3. 95 % confidence interval ellipses of the biotypes in the morphospace of bgPC1 and bgPC2 calculated for log10-transformed absolute traits. Each biotype means are marked with black points and names. The biotypes are explained in table 1.
Fig. 4. 95 in Morphometric Variation Of Hybridizing Species And Gynogenetic Biotypes Of Spined Loaches (Cobitidae, Cobitis) In River Systems Of Ukraine
Fig. 4. 95% confidence interval ellipses of the biotypes in the morphospace of bg PC3 and bgPC4 A calculated for log10 transformed absolute traits. Designations the same as on fig. 3.
Fig. 2 in Morphometric Variation Of Hybridizing Species And Gynogenetic Biotypes Of Spined Loaches (Cobitidae, Cobitis) In River Systems Of Ukraine
Fig. 2. Body measurements for Cobitis. Th e original fish image is from Wilhelm von Wright out of Fries, 1895.
Fig. 1 in Morphometric Variation Of Hybridizing Species And Gynogenetic Biotypes Of Spined Loaches (Cobitidae, Cobitis) In River Systems Of Ukraine
Fig. 1. Collection points of spined loaches in the river systems of Ukraine. Th e decoding of the numbering of samples is given in Material and methods.
Fig. 1 in German CULex pipienS biotype MoLeStUS and CULex torrentiUM are vector-competent for Usutu virus
Fig. 1 Comparison of the feeding and survival rates (from 0 to 14/16 dpi) of the four tested mosquito populations. Data values above the bars indicate the number of fully engorged or survived females per species, respectively. Numbers in brackets specify the ratio of engorged and survived females to the total number of females exposed to a blood meal or subjected to the experiment (minus day-0 samples), respectively. Error bars represent 95% confidence intervals. *P <0.05, **P <0.01, and ***P <0.001 by generalized binomial regression models or Fisher's exact test with Bonferroni correction. †Cx. pipiens biotype molestus laboratory colony from "Wendland," Lower Saxony, Germany. ‡Cx. pipiens biotype molestus laboratory colony from Novi Sad, the Republic of Serbia. §Cx. torrentium field-collected colony near Berlin and Bonn, North Rhine-Westphalia, Germany. ¶Ae. aegypti laboratory colony from Malaysia (Bayer CropScience, Langenfeld, Germany)
Fig. 1 in Differences in seasonal variation between two biotypes of Megamelus scutellaris (Hemiptera: Delphacidae), a biological control agent for Eichhornia crassipes (Pontederiaceae) in Florida
Fig. 1. Average number of F1 adults, average weight, and average development time (+ SE) across typical seasonal temperatures in Davie, Florida. An asterisk (*) indicates significance at the α = 0.05 level.
Fig. 2 in Tolerance of KS-4202 soybean to the attack of Bemisia tabaci biotype B (Hemiptera: Aleyrodidae)
Fig. 2. Comparison of the percentages of reducton in productvity between KS-4202 and Conquista for each pattern of Bemisia tabaci biotype B infestaton. The means of the columns labeled with the same letter for each pattern of infestaton do not differ according to Tukey's test (P> 0.05); ns = not significant. From the lef, the columns represent the treatments as follows: infested with no chemical control (F = 0.45; df = 3; P = 0.5507), infested and sprayed at 15 DAI (F = 17.65; df = 3; P = 0.0246), infested and sprayed at 30 DAI (F = 4.99; df = 3; P = 0.1116), infested and sprayed at 45 DAI (F = 20.21; df = 3; P = 0.0205), and infested and sprayed at 60 DAI (F = 4.53; df = 3; P= 0.1231). DAI = days afer infestaton.
Fig. 1 in Tolerance of KS-4202 soybean to the attack of Bemisia tabaci biotype B (Hemiptera: Aleyrodidae)
Fig. 1. Mean number of live Bemisia tabaci biotype B nymphs per cm2 for the KS-4202 and Conquista genotypes for each pattern of infestaton at 5 periods of evaluaton.
Fig. 1 in First report of Bemisia tabaci Mediterranean (biotype Q) (Hemiptera: Aleyrodidae) in the Dominican Republic
Fig. 1. GPS locations and Bemisia tabaci cryptic species composition for whitefly samples collected in the Dominican Republic in 2018.
Figure 1. Plant tissue-culture growth chamber Percival. A in Survivorship of soybean aphid biotypes (Hemiptera: Aphididae) on winter hosts, common and glossy buckthorn
Figure 1. Plant tissue-culture growth chamber Percival. A) Soybean plants maintained in a plant growth chamber for 21 days before placed Rhamnus cathartica. B) Leaf of R. cathartica infested with soybean aphid biotype 1. C) Leaf of Frangula alnus with soybean aphid biotype 4.
Figure 3 in Survivorship of soybean aphid biotypes (Hemiptera: Aphididae) on winter hosts, common and glossy buckthorn
Figure 3. Males of soybean aphid, Aphis glycines, biotype 3. A) Alate male. B) Apterous male with sclerites on thorax. C) Apterous male without sclerites on thorax. The slides mounted images were magnified to 64.3x.
Figure 2 in Survivorship of soybean aphid biotypes (Hemiptera: Aphididae) on winter hosts, common and glossy buckthorn
Figure 2. Adult morphs and eggs of soybean aphid, Aphis glycines, biotype 3 on Rhamnus cathartica. A) Gynopara. B) Ovipara. C) Dorsal view of apterous male. D) Ventral view of apterous male. E) Eggs on bud.
Wing plasticity and associated gene expression varies across the pea aphid biotype complex
Developmental phenotypic plasticity is a widespread phenomenon that allows organisms to produce different adult phenotypes in response to different environments. Investigating the molecular mechanisms underlying plasticity has the potential to reveal the precise changes that lead to the evolution of plasticity as a phenotype. Here, we study wing plasticity in multiple host-plant adapted populations of pea aphids as a model for understanding adaptation to different environments within a single species. We describe the wing plasticity response of different 'biotypes' to a crowded environment and find differences within as well as among biotypes. We then use transcriptome profiling to compare a highly plastic pea aphid genotype to one that shows no plasticity and find that the latter exhibits no gene expression differences between environments. We conclude that the loss of plasticity has been accompanied by a loss of differential gene expression and therefore that genetic assimilation has occurred. Our gene expression results generalize previous studies that have shown a correlation between plasticity in morphology and gene expression.
Table 1 in German CULex pipienS biotype MoLeStUS and CULex torrentiUM are vector-competent for Usutu virus
<p><b>Table 1</b> Infection, dissemination, and transmission rates of mosquitoes infected with the German USUV Africa 2 strain</p><table><tbody><tr><th><b>Blood meal virus titer (TCID</b> <b>50</b> <b>/ml)</b></th><th><b>Mosquito species</b></th><th><b>Dpi</b></th><th><b>Infection rate (%) (95% CI)</b></th><th><b>Mean viral load bodies (viral copies/µl of total RNA)</b></th><th><b>Dissemination rate (%) (95% CI)</b></th><th><b>Mean viral load legs plus wings (viral copies/µl of total RNA)</b></th><th><b>Transmission rate (%) (95% CI)</b></th></tr></tbody><tbody><tr><th>High titer 10 7.4</th><td><i>Culex pipiens</i> biotype <i>molestus</i> a</td><td>14</td><td>8/10 (80.0) (44.4–97.5)</td><td>6.9 × 10 5</td><td>3/8 (37.5) (8.5–75.5)</td><td>9.0 × 10 3</td><td>3/3 (100) (29.2–100)</td></tr><tr><th></th><td></td><td>21</td><td>4/6 (66.7) (22.3–95.7)</td><td>5.6 × 10 5</td><td>4/4 (100) (39.7–100)</td><td>1.5 × 10 4</td><td>3/4 (75.0) (19.4–99.4)</td></tr><tr><th></th><td><i>Cx.pipiens</i> biotype <i>molestus</i> b</td><td>16</td><td>13/16 (81.3) (54.4–96.0)</td><td>1.9 × 10 6</td><td>13/13 (100) (75.3–100)</td><td>7.8 × 10 4</td><td>2/13 (15.4) (1.9–45.4)</td></tr><tr><th></th><td></td><td>21</td><td>8/10 (80.0) (44.4–97.5)</td><td>8.1 × 10 5</td><td>8/8 (100) (63.1–100)</td><td>7.8 × 10 4</td><td>4/8 (50.0) (15.7–84.3)</td></tr><tr><th></th><td><i>Aedes aegypti</i> d</td><td>14</td><td>0/53 (0) (0–6.7)</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><th></th><td></td><td>21</td><td>4/22 (18.2) (5.2–40.3)</td><td>2.3 × 10 5</td><td>1/4 (25.0) (0.6–80.6)</td><td>5.5 × 10 3</td><td>0/1 (0) (0–97.5)</td></tr><tr><th>Low titer 10 5.1</th><td><i>Cx.pipiens</i> biotype <i>molestus</i> a</td><td>14</td><td>2/36 (5.6) (0.7–18.7)</td><td>1.2 × 10 2</td><td>0/2 (0) (0–84.2)</td><td>NA</td><td>NA</td></tr><tr><th></th><td></td><td>21</td><td>1/19 (5.3) (0.7–18.7)</td><td>5.4 × 10 1</td><td>0/1 (0) (0–84.2)</td><td>NA</td><td>NA</td></tr><tr><th></th><td><i>Cx.torrentium</i> c</td><td>14</td><td>1/8 (12.5) (0.3–52.7)</td><td>2.8 × 10 1</td><td>0/1 (0) (0–97.5)</td><td>NA</td><td>NA</td></tr><tr><th></th><td></td><td>21</td><td>1/8 (12.5) (0.3–52.7)</td><td>3.9 × 10 6</td><td>1/1 (100) (2.5–100)</td><td>4.7 × 10 4</td><td>1/1 (100) (2.5–100)</td></tr></tbody></table><p>Transmission rates include results from the saliva inoculation on Vero cells and from the RT-qPCRs of cell culture supernatants.All mosquitoes were incubated for 14/16 or 21 days.Absolute quantification of virus copies/µl of total RNA was performed via an RT-qPCR-based calibration curve</p><p><i>CI</i> confidence interval, <i>dpi</i> days post infection, <i>NA</i> not applicable</p><p><sup>a</sup> <i>Cx.pipiens</i> biotype <i>molestus</i> laboratory colony from“Wendland,” Lower Saxony,Germany</p><p><sup>b</sup> <i>Cx.pipiens</i> biotype <i>molestus</i> laboratory colony from Novi Sad,the Republic of Serbia</p><p><sup>c</sup> <i>Cx.torrentium</i> field-collected colony near Berlin and Bonn,North Rhine-Westphalia,Germany</p><p><sup>d</sup> <i>Ae. aegypti</i> laboratory colony from Malaysia (Bayer CropScience,Langenfeld,Germany)</p>
PDAC_Morpho-Biotype_Study
<p>Reference files, count matrices, meta data tables and R objects from LMD-seq and single-cell RNA-seq data of PDAC human samples (Di Chiaro et al., Cancer Cell 2024; DOI: <a href="https://doi.org/10.1016/j.ccell.2024.02.017">10.1016/j.ccell.2024.02.017</a>; Di Chiaro et al., GigaScience 2025; DOI: <a href="https://doi.org/10.1093/gigascience/giaf101">10.1093/gigascience/giaf101</a>).</p> <ol> <li>Mapping and read counting using laser microdissetion (LMD) coupled to RNAseq data</li> <li>Motif analysis using laser microdissetion (LMD) coupled to RNAseq data</li> <li>Inference of gene regulatory networks using laser microdissetion (LMD) coupled to RNAseq data</li> <li>single-cell RNA-seq data</li> </ol>
Data from: Globally-deployed sorghum aphid resistance gene RMES1 is vulnerable to biotype shifts but being bolstered by RMES2
Open the record for dataset details and reuse information.
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.