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13,618 results for “biology”
Codes and data for: Clustering optimisation method for highly connected biological data
<p>Currently, data-driven discovery in biological sciences resides in finding segmentation strategies in multivariate data that produce sensible descriptions of the data. Clustering is but one of several approaches and sometimes falls short because of difficulties in assessing reasonable cutoffs, the number of clusters that need to be formed or that an approach fails to preserve topological properties of the original system in its clustered form. In this work, we show how a simple metric for connectivity clustering evaluation leads to an optimised segmentation of biological data.</p> <p>The novelty of the work resides in the creation of a simple optimisation method for clustering crowded data. The resulting clustering approach only relies on metrics derived from the inherent properties of the clustering. The new method facilitates knowledge for optimised clustering, which is easy to implement.<br>We discuss how the clustering optimisation strategy corresponds to the viable information content yielded by the final segmentation. We further elaborate on how the clustering results, in the optimal solution, corresponds to prior knowledge of three different data sets.</p> <p>This is the dataset and the codes required to conduct the above-mentioned analysis.</p>
Supplementary material 2 from: Bonnett G, Kushner J, Saltonstall K (2014) The reproductive biology of Saccharum spontaneum L.: implications for management of this invasive weed in Panama. NeoBiota 20: 61-79. https://doi.org/10.3897/neobiota.20.6163
Proportion of seeds that germinated each week between September and December from samples taken at 12 sites. 100 seeds were germinated from each of three replicate samples and tested for germination in laboratory conditions. Results are presented as the mean and the error bar represents the standard error of the mean.
Supplementary material 1 from: Bonnett G, Kushner J, Saltonstall K (2014) The reproductive biology of Saccharum spontaneum L.: implications for management of this invasive weed in Panama. NeoBiota 20: 61-79. https://doi.org/10.3897/neobiota.20.6163
The table gives the latitude and longitude, description and number of genotypes found among the 3 plants of Saccharum spontaneum tested from each of 22 Sites. Sites 1–12 were used to assess seed germinability through time.
Serum albumin domain structures in human blood serum by mass spectrometry and computational biology
<p>Contact prediction data generated by EPC-map used in the paper "Serum Albumin Domain Structures in Human Blood Serum by Mass Spectrometry and Computational Biology" by Rappsilber et al.</p>
Data and script for Andrews et al. 'A marker of biological ageing predicts risk preference in European starlings, Sturnus vulgaris'
<p>Data and script for Andrews et al. 'A marker of biological ageing predicts risk preference in European starlings, Sturnus vulgaris'. Consists: One R script and three data .csv files.</p>
BRAIN Journal-Brain-Like Artificial Intelligence for Automation-Figure 3. Basic "Components" of Artificial and Biological (Brain-Controlled) Automation Systems
<p>Although basing on different concepts concerning their details, artificial and biological (brain-controlled) automation systems show common points concerning their principal components (see Figure 3).</p>
F I G U R E A 2 in Reproductive biology of the electric lanternfish Electrona risso (Myctophidae) and the bigscale fishes Melamphaes polylepis and Scopelogadus mizolepis (Melamphaidae)
F I G U R E A 2 Scopelogadus mizolepis ovarian development. Reproductive phases based on Table 1. Macroscopic development of female gonads (left panels) and histological cross-sections of ovaries (right panels). CA, cortical alveoli oocyte; GVM, germinal vesicle migration oocyte; nu, nucleus; PG, primary growth oocyte; Vtg1–3, primary to tertiary vitellogenic oocyte; yg, yolk granules; yv, yolk vesicle. Photography by A. Knorrn.
F I G U R E 2 in Reproductive biology of the electric lanternfish Electrona risso (Myctophidae) and the bigscale fishes Melamphaes polylepis and Scopelogadus mizolepis (Melamphaidae)
F I G U R E 2 Length–frequency distributions of (a) Electrona risso, (b) Melamphaes polylepis, and (c) Scopelogadus mizolepis by sex (upper panels, females; lower panels, males).
FIGURE 2 in Macrosiphum edrossi Essig, 1953 (Hemiptera, Aphididae): Second World Record, Redescription and Biological and Taxonomic Notes
FIGURE 2. Macrosiphum edrossi. (A-B) Apterous viviparous female; (C) Alate viviparous female. (A) End of antennal segment V, antennal segment VI; (B) Antennal segments II and III; (C) Antennal segments I, II and III. FIGURE 3. Macrosiphum edrossi, apterous viviparous female. (A) Frontal leg, without coxa and trochanter; (B) Medial leg, without coxa and trochanter; (C) Hind leg, without coxa. FIGURE 4. Macrosiphum edrossi, apterous viviparous female. (A) Left posterior part of abdomen, siphunculus, cauda and genital and anal plates are visible; (B) ventral face of siphunculus. (C) dorsal face of siphunculus.
Single-cell and single-nucleus RNA-sequencing from paired normal-adenocarcinoma lung samples provides both common and discordant biological insights
<p>The datasets generated by <em>Cellranger </em>for all 24 samples (.h5 format).<br><br></p>
Рис. 1. Карта-схема литоральных Экспедиций Института биологии морЯ (Национального научного центра морской биологии им. А.В. Жирмунского ДВО РАН) и Дальневосточного государственого университета (Дальневосточного федерального университета) (по: Ivanova, Tsurpalo [2012], с дополнениЯми). Fig. 1. A schematic map of intertidal expeditions performed by the Institute of Marine Biology (A.V. Zhirmunsky National Scientific Centre of Marine Biology FEB RAS) and Far Eastern State University (Far Eastern Federal University) (after Ivanova, Tsurpalo [2012], with additions). in Bivalve mollusks of the intertidal zone of the Far Eastern seas of Russia
Рис. 1. Карта-схема литоральных Экспедиций Института биологии морЯ (Национального научного центра морской биологии им. А.В. Жирмунского ДВО РАН) и Дальневосточного государственого университета (Дальневосточного федерального университета) (по: Ivanova, Tsurpalo [2012], с дополнениЯми). Fig. 1. A schematic map of intertidal expeditions performed by the Institute of Marine Biology (A.V. Zhirmunsky National Scientific Centre of Marine Biology FEB RAS) and Far Eastern State University (Far Eastern Federal University) (after Ivanova, Tsurpalo [2012], with additions).
Linked collectors and determiners for: Marine Biological Sample Database, JAMSTEC.
Natural history specimen data linked to collectors and determiners held within, "Marine Biological Sample Database, JAMSTEC". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/3c1a56f8-b63a-492f-bb77-babb497204fb">https://bionomia.net/dataset/3c1a56f8-b63a-492f-bb77-babb497204fb</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/3c1a56f8-b63a-492f-bb77-babb497204fb">https://gbif.org/dataset/3c1a56f8-b63a-492f-bb77-babb497204fb</a>. Formatted as a Frictionless Data package.
Figure 7 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 7 Mean proportion of phytoseiids per leaf outside or inside the canopy (a), on the adaxial or abaxial side of the leaves (b), white or red coloured (c), and collected on fruits (d), whenE. banksi occurred or was absent. Capped bars represent ± standard error (SE). Significant differences are denoted with asterisks. Chi square contingency test:P <0.001.
Figure 1 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 1 Mean number ofE. banksi(a–d) and phytoseiid mites (e–h) per leaf or per cm2 of leaves and fruits. Capped bars represent ± standard error (SE). Bars with different letters are significantly different (Wilcoxon rank-sum test).
Figure 5 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 5 (a–d) Representation of the binomial (logit-link) generalized linear models (GLMs) showing the relationship between the proportion
Figure 3 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 3 Seasonal relative abundance of motile forms of phytoseiid species in four (2018) and six (2019) citrus orchards. Percentage of each species per sampling is represented. The summer decline
Figure 4 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 4 Variation in the spatial distribution and body coloration of phytoseiid in relation to the abundanceE. of banksi in four (2018) and six (2019) citrus orchards. Grey bars indicate the percentage of phytoseiids collected outside the canopy, on the leaf adaxial sides, fruits occupied by phytoseiids, and red phytoseiids (primary y-axis), in relation with the mean numberE of. banksi per leaf or fruit represented as a solid line (secondary, y-axis). Capped bars represent ± standard error (SE).
Figure 2 in Within-tree distribution and seasonal dynamics of Eutetranychus banksi and Euseius stipulatus (Acari: Tetranychidae, Phytoseiidae) on citrus: Implications for the biological control of the pest
Figure 2 Seasonal trends ofE. banksi and phytoseiid mites on leaves (solid line, first y-axis) and fruits (broken line, second y-axis) in four and six citrus orchards in 2018 and 2019 respectively. Mean number of mites collected per sampling unit (all the stages were pooled together). Note that first and second y-axis scales are different. Mean (solid line), maximum and minimum daily temperatures in °C (broken lines) and mean daily relative humidity (RH) were represented.
Figure 1 in Review of the distribution and biology of the snake mite Ophionyssus natricis (Acari: Macronyssidae)
Figure 1 Ophionyssus natricis(ex Ophisops elegansfrom Azerbaijan): A – Female, propodosomal shield, scale bar = 50 µm; B – Female, pygidial shield, scale bar = 100 µm; C – Female, sternal and genital shields, scale bar = 50 µm; D – Protonymph, ventral idiosoma, scale bar = 100 µm.
Ir and NMR for article Synthesis and Biological Activity Evaluation of New Isatin-Gallate Hybrids as Antioxidant and Anticancer Agents (in vitro) and In-silico Study as Anticancer Agents and Coronavirus Inhibitors
<p>this is IR and NMR data for article titled <strong>Synthesis and Biological Activity Evaluation of New Isatin-Gallate Hybrids as Antioxidant and Anticancer Agents (<em>in vitro</em>) and In-silico Study as Anticancer Agents and Coronavirus Inhibitors </strong></p> <p> </p>
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.