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Fig. 2 in Susceptibility of Spodoptera frugiperda (Lepidoptera: Noctuidae) field populations to the Cry1F Bacillus thuringiensis insecticidal protein
Fig. 2. EC50s estimated by nonlinear regression of growth inhibition fitted to a probit model and the 95% confidence intervals of Spodoptera frugiperda neonates field collected in 2013 and exposed to the Cry1F Bacillus thuringiensis toxin.
Four spatial prediction datasets of susceptibility to gully erosion, comparing machine learning models, in the Piraí drainage basin, southeastern Brazil
<p>The data in this repository refer to the article published in the journal Land, entitled: Machine Learning Models for the Spatial Prediction of Gully Erosion Susceptibility in the Piraí Drainage Basin, Paraíba do Sul Middle Valley, Southeast Brazil.</p>
Metallomics in childhood obesity, insulin resistance, and related susceptibility factors
<p>Metallomics data from plasma and red blood cell (RBC) samples collected from a population-based cohort of children with obesity and healthy controls</p>
Metabolomics in childhood obesity, insulin resistance, and related susceptibility factors
<p>Metabolomics data from plasma and red blood cell (RBC) samples collected from a population-based cohort of children with obesity and healthy controls</p>
7 T MRI rawdata for (part 1): A novel phantom with dia- and paramagnetic substructure for quantitative susceptibility mapping and relaxometry
<p>MRI raw data from three different magnetic field strength (1.5 T, 3 T, 7T; 7T data are in separate datasets) for the publication 'A novel phantom with dia- and paramagnetic substructure for quantitative susceptibility mapping and relaxometry', in which a phantom was presented that allows for an experimental evaluation of QSM reconstruction algorithms. The phantom contains susceptibility producing particles with dia- and paramagnetic properties embedded in an MRI visible medium (gelatin and agarose gel) and is suitable to assess the performance of algorithms that attempt to separate isotropic dia- and paramagnetic susceptibility at the sub-voxel level. This dataset additionally contains raw data for a phantom that only contains diamagnetic and paramagnetic particles, respectively, for magnetic field strengths of 7 T.</p>
7 T MRI rawdata for (part 2): A novel phantom with dia- and paramagnetic substructure for quantitative susceptibility mapping and relaxometry
<p>MRI raw data from three different magnetic field strength (1.5 T, 3 T, 7T; 7T data are in separate datasets) for the publication 'A novel phantom with dia- and paramagnetic substructure for quantitative susceptibility mapping and relaxometry', in which a phantom was presented that allows for an experimental evaluation of QSM reconstruction algorithms. The phantom contains susceptibility producing particles with dia- and paramagnetic properties embedded in an MRI visible medium (gelatin and agarose gel) and is suitable to assess the performance of algorithms that attempt to separate isotropic dia- and paramagnetic susceptibility at the sub-voxel level. This dataset additionally contains raw data for a phantom that only contains diamagnetic and paramagnetic particles, respectively, for magnetic field strengths of 7 T.</p>
Data set: Genome scale CRISPR Cas9a knockout screen reveals genes that controls glioblastoma susceptibility to the alkylating agent temozolomide (TMZ).
<p>Glioblastoma is the deadliest of all primary brain tumor with a very poor survival outcome. Alkylating agent such as temozolomide is used as a mainstay drug used in treating of glioblastoma patients including radiation, tumor treating field and surgery. However, this drug offers little to no benefit for the glioblastoma patients. Hence, the objective of the generation of this data is to understand and unravel genes that controls glioblastoma susceptibility and resistance to temozolomide using an unbiased genome scale CRISPR Cas9a knockout screen</p>
Fig. A3 in Susceptibility of tropical mountain forests to biological invasions from the temperate and subtropical zone, exemplified by Zonitoides (Gastropoda: Gastrodontidae)
Fig. A3. Map of the occurrences of Zonitoides arboreus s.l. and Zonitoides nitidus used for the calculation of climatic suitability for the 20 km grid resolution.
Fig. A4 in Susceptibility of tropical mountain forests to biological invasions from the temperate and subtropical zone, exemplified by Zonitoides (Gastropoda: Gastrodontidae)
Fig. A4. Global climatic suitability for: (a) Zonitoides arboreus s.l.; and (b) Zonitoides nitidus based on Mahalanobis distances using the 20 km grid resolution. The higher the threshold, the more dissimilar are the climatic conditions to those of the majority of known occurrences, and>100% means that the climatic conditions are dissimilar to those of any other available record. Please note that the deserts of Africa, Arabia and Australia are unlikely places for a snail that inhabits (temperate) forests in its native range (Z. arboreus s.l.), and that the Great Lakes Region that seems well inhabited by Z. nitidus does not fully match its climate, what can only be explained from effects of averaging local climates at a larger grid scale.
Fig. A1 in Susceptibility of tropical mountain forests to biological invasions from the temperate and subtropical zone, exemplified by Zonitoides (Gastropoda: Gastrodontidae)
Fig. A1. Map of the occurrences of Zonitoides arboreus s.l. used for the calculation of climatic suitability for the 10 km grid resolution.
Fig. 4 in Susceptibility of tropical mountain forests to biological invasions from the temperate and subtropical zone, exemplified by Zonitoides (Gastropoda: Gastrodontidae)
Fig. 4. Position of the new locations (L1 and L2, enumeration for each species separately) in Sabah in relation to the Mahalanobis distances of climatic variables for: (a) Zonitoides arboreus s.l., and (b) Z. nitidus. Record ID refers to the order of the data entry.
Fig. 2 in Susceptibility of tropical mountain forests to biological invasions from the temperate and subtropical zone, exemplified by Zonitoides (Gastropoda: Gastrodontidae)
Fig. 2. Global climatic suitability for (a) Zonitoides arboreus s.l. and (b) Zonitoides nitidus based on Mahalanobis distances from the 10 km grid resolution. The higher the threshold, the more dissimilar are the climatic conditions to those of the majority of known occurrences, and>100 % means that the climatic conditions are dissimilar to those of any other available record.
Fig. 1 in Susceptibility of tropical mountain forests to biological invasions from the temperate and subtropical zone, exemplified by Zonitoides (Gastropoda: Gastrodontidae)
Fig. 1. Estimation of the phylogenetic relationships of the COI barcoding sequence from the Zonitoides specimens and two outgroups (labeled with their BOLD or GenBank accession numbers) using the Maximum Likelihood method based on the Tamura-Nei model. The tree with the highest log likelihood (−2138.3583) is shown. Branch lengths equal genetic distances in terms of the number of base substitutions per site. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (500 replicates) are shown next to the branches. The tree was constructed in MEGA 6.0. Please note that the shell of (living) Z. nitidus is darkly pigmented, and that the extended animal of the depicted Z. nitidus started fading.
Fig. A2 in Susceptibility of tropical mountain forests to biological invasions from the temperate and subtropical zone, exemplified by Zonitoides (Gastropoda: Gastrodontidae)
Fig. A2. Map of the occurrences of Zonitoides nitidus used for the calculation of climatic suitability for the 10 km grid resolution.
FIG. 4 in Absence of association of asporin polymorphisms and osteoarthritis susceptibility in US Caucasians
FIG. 4. — Évolution des assemblages de foraminifères benthiques et indications paléoenvironnementales dans le bassin du Bas Chélif (Algérie), coupe de Sassel plage. Abréviations: Bath., bathyal; Bri., Brizalina; Bo., Bolivina; Ci., Cibicides; Cibicidoi., Cibicidoides; Circa., circalittoral; Éch., échantillon; Form., formation; Fr., Fraction; Gyr., Gyroidina; Gyroidinoi., Gyroidinoides; Infra., infralittoral.
FIG. 6 in Absence of association of asporin polymorphisms and osteoarthritis susceptibility in US Caucasians
FIG. 6. — Évolution des assemblages de foraminifères benthiques et indications paléoenvironnementales dans le bassin du Bas Chélif (Algérie), coupe de Sidi Brahim. Abréviations: Bath., bathyal; Bo., Bolivina; Bri., Brizalina; Ci., Cibicides; Cibicidoi., Cibicidoides; Circa., circalittoral; Éch., échantillon; Form., formation; Fr., Fraction; Globocas., Globocassidulina, Infra., infralittoral.
FIG. 3 in Absence of association of asporin polymorphisms and osteoarthritis susceptibility in US Caucasians
FIG. 3. — Succession lithostratigraphique dans le bassin du Bas Chélif (Algérie): A, région de Sidi Bel Attar; B, région de Sidi Brahim.
FIG.1 in Absence of association of asporin polymorphisms and osteoarthritis susceptibility in US Caucasians
FIG.1. — Situation géographique générale des régions et coupes étudiées, bassin du Bas Chélif (Algérie): 1, région de Aïn Temouchent, coupe de Sassel plage; 2, région de Mohammadia, coupe de Sahaouria; 3-4, région de Mostaganem; 3, coupe de Sidi Bel Attar; 4, coupe de Sidi Brahim. Abréviations: Dj., Djebel; O., oued.
FIG. 7 in Absence of association of asporin polymorphisms and osteoarthritis susceptibility in US Caucasians
FIG. 7. — Corrélation biostratigraphique des terrains fini messinien-début pliocène dans le bassin du Bas Chélif (Algérie). 1, gypses; 2, marno-gréso-calcaire; 3, conglomérats; 4, marnes sableuses; 5, marnes; 6, calcaires à Halimeda; 7, Porites; 8, stromatolites; 9, marnes blanches (faciès Trubi); 10, grès.
Susceptibility of Liriomyza sativae Blanchard (Diptera: Agromyzidae) to cyantraniliprole and spinetoram
<p>The <em>Liriomyza sativae</em> (Blanchard) (Diptera: Agromyzidae) is one pests of melon (<em>Cucumis melo</em> L.). The insecticides most recently registered for its control are cyantraniliprole and spinetoram. This work aims to research the current state of the susceptibility of <em>L. sativae </em>to these insecticides. Pest populations were collected in Rio Grande do Norte and Pernambuco, and in the laboratory they were multiplied and submitted to toxicological bioassays, with assessments 48 and 72 hours after exposure. Based on LC<sub>50</sub> values and after 48 hours, significant RR<sub>S</sub> were found in all populations surveyed for the two insecticides.But after 72 h, only MSR 2 and RN4 continued to show significant RR values in both insecticides, with cyantraniliprole MSR 2 = 2.97 and RN4 = 4.01 times; and for the spinetoram MSR 2 = 7.88 and RN4 = 5.38 times. Soon, the pest populations showed homogeneity to the insecticides registered, being more sensitive to cyantraniliprole. Measures need to be taken to reduce the evolution of the resistance of this pest, ensuring the efficiency of these products in the field.</p>
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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.