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7,195 results for “SET”
Patterns and drivers of the global diversity of non-native macrofungi [DATA SET]
<p>Data sets used in manuscript: <strong>Patterns and drivers of the global diversity of non-native macrofungi.</strong></p>
Training data set for inverse pyrolysis machine learning
<p>For dataset description see https://doi.org/10.5281/zenodo.6606247</p>
Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy – data set 05
<p>We developed a sedimentation method using desktop ultracentrifugation (see description below) to visualize SARS-CoV-2 particles in suspensions from oro- and/or nasopharyngeal swabs by thin section electron microscopy. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 05 is a stitched image montage recorded from an area of a thin section through the sediment obtained from a swab sample which was negative by quantitative PCR. The recorded area shows the profiles of a few ciliated cells which are structurally impaired by vesiculation, probably due to the sampling and storage before fixation. Only few organelles are detectable, including nucleus and some of the mitochondria. The cells are surrounded by cellular debris and heterogenous material (e.g. membrane lamella, needle-like crystals, round profiles with a fine-fibrous matrix). Virus particles are not visible.</p> <p>Related publication: Laue M, Hoffmann T, Michel J, Nitsche A. Visualization of SARS-CoV-2 particles in naso/oropharyngeal swabs by thin section electron microscopy. Virol J. 2023 Feb 6;20(1):21. doi: 10.1186/s12985-023-01981-9. PMID: 36747188; PMCID: PMC9901382.</p>
Data from: Model choice for phylogeographic inference using a large set of models
Model-based analyses are common in phylogeographic inference because they parameterize processes such as population division, gene flow and expansion that are of interest to biologists. Approximate Bayesian Computation is a model-based approach that can be customized to any empirical system and used to calculate the relative posterior probability of several models, provided that suitable models can be identified for comparison. The question of how to identify suitable models is explored using data from Plethodon idahoensis, a salamander that inhabits the North American inland northwest temperate rainforest. First, we conduct an ABC analysis using five models suggested by previous research, calculate the relative posterior probabilities, and find that a simple model of population isolation has the best fit to the data (PP = 0.70). In contrast to this subjective choice of models to include in the analysis, we also specify models in a more objective manner by simulating prior distributions for 143 models that included panmixia, population isolation, change in effective population size, migration, and range expansion. We then identify a smaller subset of models for comparison by generating an expectation of the highest posterior probability that a false model is likely to achieve due to chance and calculate the relative posterior probabilities of only those models that exceed this expected level. A model that parameterized divergence with population expansion and gene flow in one direction, offered the best fit to the P. idahoensis data (in contrast to an isolation only model from the first analysis). Our investigation demonstrates that the determination of which models to include in ABC model choice experiments is a vital component of model-based phylogeographic analysis.
Data set for "A neuronal mechanism for motivational control of behavior"
<p>Acting to achieve goals depends on the ability to motivate specific behaviors based on their predicted consequences given an individual’s internal state. However, the underlying neuronal mechanisms that encode and maintain such specific motivational control of behavior are poorly understood. Here, we used Ca2+ imaging and optogenetic manipulations in the basolateral amygdala of freely moving mice performing non-cued, self-paced instrumental goal-directed actions to receive and consume rewards. We found that distinct neuronal activity patterns sequentially represent the entire action-consumption behavioral sequence. Whereas action-associated patterns integrated the identity, value, and expectancy of pursued goals, consumption-associated patterns reflected the identity and value of experienced outcomes. Thus, the interplay between these patterns allows the maintenance of specific motivational states necessary to adaptively direct behavior toward prospective rewards.</p>
Supplementary material 2 from: Jiménez Elvira N, Ushio M, Sakai S (2022) Are microbes growing on flowers evil? Effects of old flower microbes on fruit set in a wild ginger with one-day flowers, Alpinia japonica (Zingiberaceae). Metabarcoding and Metagenomics 6: e84331. https://doi.org/10.3897/mbmg.6.84331
Fruit and seed set datasets
Supplementary material 1 from: Jiménez Elvira N, Ushio M, Sakai S (2022) Are microbes growing on flowers evil? Effects of old flower microbes on fruit set in a wild ginger with one-day flowers, Alpinia japonica (Zingiberaceae). Metabarcoding and Metagenomics 6: e84331. https://doi.org/10.3897/mbmg.6.84331
Tables S1, S2 and Figures S1–S4
Data set used in SRDS 2020 paper
<p>Data set used in SRDS 2020 paper</p>
Biodiversity information retrieval across networked data sets
<p>Recording of presentation. An approach to integrate data through wrapping of various datasets stored in relational databases located on networked platforms. It is designed to overcome copyright problems in data sharing.</p>
Data set from a 3D benchmark simulation of delamination in a layered composite component under fatigue loading
<p>This data repository provides the processed data obtained from the benchmark simulation using the method presented in the article entitled "A simulation method for fatigue-driven delamination in layered structures involving non-negligible fracture process zones and arbitrarily shaped crack fronts" by the same authors. The method is based on a cohesive zone model approach and a Paris' law-based expression describing the crack growth rate. The capabilities of the method are evaluated by comparison of the results obtained from a benchmark test on a partially reinforced double cantilever beam (DCB) specimen with varying crack growth rate and front shape. The experimental work is presented in the article entitled "A benchmark test for validating 3D simulation methods for delamination growth under quasi-static and fatigue loading". Experimental data is provided in the Mendeley data set entitled "Experimental data set from a benchmark test of delamination growth with varying crack growth rate and crack front shape under quasi-static and fatigue loading". This data set only contains the simulation results. The test configuration, the methodology and the data processing are addressed in the related articles.</p>
Text-fig. 17. Biostratigraphic correlations of Moghara, Egypt, and Gebel Zelten, Libya, with inferred age ranges in millions of years. ELMA – European Land Mammal Age (MN – Mammal Neogene Zone) (Mein 1989), FS – East African Faunal Set (Pickford 1981). The double-headed arrow is the range of ages obtained by Strontium isotope dating analyses (Hassan et al. 2013). in New Suoid Fossils (Mammalia, Artiodactyla) From The Miocene Of Moghara, Egypt, And Gebel Zelten, Libya: Biochronological Implications
Text-fig. 17. Biostratigraphic correlations of Moghara, Egypt, and Gebel Zelten, Libya, with inferred age ranges in millions of years. ELMA – European Land Mammal Age (MN – Mammal Neogene Zone) (Mein 1989), FS – East African Faunal Set (Pickford 1981). The double-headed arrow is the range of ages obtained by Strontium isotope dating analyses (Hassan et al. 2013).
TnB AE data set
<p>This is a data set containing LoRa traces used in the evaluation of TnB.</p>
MAgPIE model input data sets: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
<p>These MAgPIE input data sets include harmonized crop yield projections from several crop models (9 crop models and 5 climate models). Additionally, regional, validation, and calibration data sets are also reported.</p>
PBE, PBE0, B86bPBE data and relative DNN-MBDQ dispersion corrections for S66x8 and S22 data sets.
<p>PBE, PB0 and B86bPBE interaction energy data for the S66x8 and/or S22<br> data sets as well as their relative DNN-MBDQ dispersion corrections for the different range-separation parameters (β) discussed.</p>
Supplementary material 1 from: Waheed Z, Benzoni F, van der Meij SET, Terraneo TI, Hoeksema BW (2015) Scleractinian corals (Fungiidae, Agariciidae and Euphylliidae) of Pulau Layang-Layang, Spratly Islands, with a note on Pavona maldivensis (Gardiner, 1905). ZooKeys 517: 1-37. https://doi.org/10.3897/zookeys.517.9308
Table S1: Explanation note: Physical properties of seawater at Pulau Layang-Layang.
Supplementary material 1 from: Virgilio M, White I, de Meyer M (2014) A set of multi-entry identification keys to African frugivorous flies (Diptera, Tephritidae). ZooKeys 428: 97-108. https://doi.org/10.3897/zookeys.428.7366
List of species, characters and character states considered in each identification key:
Supplementary material 2 from: Virgilio M, White I, de Meyer M (2014) A set of multi-entry identification keys to African frugivorous flies (Diptera, Tephritidae). ZooKeys 428: 97-108. https://doi.org/10.3897/zookeys.428.7366
List of positive and negative character dependencies in each identification key:
Figure 2 from: Guillaumot C, Martin A, Fabri-Ruiz S, Eléaume M, Saucède T (2016) Echinoids of the Kerguelen Plateau – occurrence data and environmental setting for past, present, and future species distribution modelling. ZooKeys 630: 1-17. https://doi.org/10.3897/zookeys.630.9856
Figure 2 - Distribution of the 12 echinoid species based on the specimens collected since 1872 on the Kerguelen Plateau.
Figure 1 from: Guillaumot C, Martin A, Fabri-Ruiz S, Eléaume M, Saucède T (2016) Echinoids of the Kerguelen Plateau – occurrence data and environmental setting for past, present, and future species distribution modelling. ZooKeys 630: 1-17. https://doi.org/10.3897/zookeys.630.9856
Figure 1 - Sampling effort. Red dots depict echinoid occurrences. Black squares correspond to visited sites at which no echinoid was sampled.
Assessing diversity in creating seed set for snowballing search for systematic literature review in software engineering
<p><strong><span>This set of files is complementary material used to evaluate the snowballing performance varying the seed set creation under the diversity perspective from the proposed tool. Specifically, the set of files includes a PDF with guidelines followed to replicate our seed set based on diversity characteristics and three spreadsheet that: i) presents the seed set of SLR Original; ii) describes the seed set recommended by tool; and iii) reflects the snowballing process and analysis.</span></strong></p>
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.