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3,843 results for “beta”
BetaEddyOne: A long-lived 1.5 layer quasigeostrophic eddy on a beta plane, with Lagrangian particles
<p>BetaEddyOne is a yearlong simulation of a large, nonlinear oceanic eddy under 1.5 layer quasigeostrophic dynamics on a beta plane, initially located at 24˚N. The simulation is run at 512 x 256 resolution and is seeded with Lagrangian particles with one particle per grid point. </p> <p>This simulation is indended for use as a common test case for eddy-related diagnostics and analysis methods. It approximately replicates the eddy analyzed in detail in Early, Samelson, and Chelton (2011), <a href="https://doi.org/10.1175/2011JPO4601.1">https://doi.org/10.1175/2011JPO4601.1</a>. The simulation was created using the WaveVortexModel (Early, Lelong, and Sundermeyer, 2021, <a href="https://doi.org/10.1017/jfm.2020.995">https://doi.org/10.1017/jfm.2020.995</a>), the code for which is available on GitHub at <a href="https://github.com/Energy-Pathways-Group/GLOceanKit">https://github.com/Energy-Pathways-Group/GLOceanKit</a>. This particular simulation was created for use in the paper</p> <p>Lilly, J. M., J. Feske, B. Fox-Kemper, and J. J. Early (2024). Integral theorems for the gradient of a vector field, with a fluid dynamical application. <em>Proceedings of the Royal Society of London, Series A</em>. <strong>480</strong> (2293): 20230550, 1–30. <a href="https://doi.org/10.1098/rspa.2023.0550">doi 10.1098/rspa.2023.0550</a>.</p> <p>The figure shows a snapshot of the model's vertical vorticity. </p> <p> </p>
Intermediate data for: Environment and shipping drive eDNA beta-diversity among commercial ports
<p>Intermediate data generated by Paul Czechowski as part of MEC-22-0945.R1 using code stored at <a href="https://github.com/macrobiotus/ships_and_bugs">GitHub</a>, most recently release with <a href="https://doi.org/10.5281/zenodo.7600608">DOI: 10.5281/zenodo.7600608 </a> . Pre-print with linked final manuscript version available at BioRxiv via <a href="https://doi.org/10.1101/2021.10.07.463538">DOI: 10.1101/2021.10.07.463538</a>. Please refer to the published manuscript for a full list of available digital resources associated with this work.</p>
Population pharmacokinetic studies of critically ill adults receiving beta-lactam antimicrobials: covariate dataset
<p>A dataset of reported covariates from a systematic review of population pharmacokinetic studies of critically ill adults receiving beta-lactam antimicrobials, including R script of statistical and graphical analyses</p>
Generation of beta-like cell subtypes from differentiated human induced pluripotent stem cells in 3D spheroids
<p>This repository contains single-cell RNA-sequencing data files (raw FASTQ files generated from Illumina HiSeq sequencing) related to the article entitled "Generation of beta-like cell subtypes from differentiated human induced pluripotent stem cells in 3D spheroids" by Lisa Morisseau et al. (2023) published in the Molecular Omics journal (DOI: 10.1039/d3mo00050h).</p> <p> </p>
Data from publication: Castillioni, K., & Isbell, F. (2023). Early positive spatial selection effects of beta-diversity on ecosystem functioning. Landscape Ecology, 1-15.
Data from publication: Castillioni, K., & Isbell, F. (2023). Early positive spatial selection effects of beta-diversity on ecosystem functioning. Landscape Ecology, 1-15. Spatial beta-diversity may increase landscape productivity if there are positive spatial selection effects. Alternatively, dominant species in mixtures might not be the most productive species in monoculture leading to negative or neutral spatial selection effects. However, these hypotheses remain untested experimentally. Seedling survival can determine species establishment, influencing productivity later. To address this knowledge gap, we experimentally tested whether transplanted seedlings of dominant species optimally sort among habitat types (grassland dominated by Andropogon gerardii, savanna by Quercus macrocarpa, deciduous forest by Acer rubrum, coniferous forest by Pinus strobus, bog by Larix laricina), creating positive effects of landscape diversity on seedling survival and net biodiversity effects at Cedar Creek Ecosystem Science Reserve (CCESR) in Minnesota, USA. The study is named BetaDIV and consists of 100 plots (20 plots per habitat × 5 habitats). Each of the five habitats includes two true replicate monocultures for each of the five species and two true replicates for each of the five possible mixture compositions of four species (leaving each one out in turn to eventually explore the effect of species identity). Each plot is 1.5 by 1.5 m, with 12 seedlings planted 0.5 m apart in a 4 × 4 square grid, except in the plot corners. In the early June 2022, we tagged and planted all seedlings (i.e., bareroot seedlings for trees and plugs for the grass A. gerardii). Two weeks after the initial transplanting, we started tracking seedling survival (presented here) to investigate how seedlings responded to local habitat conditions. We conducted a seedling census for each of the 1200 tagged seedlings (12 seedlings per plot×100 plots), in early September 2022, which was two months at the end
APEX beta NW site: hourly soil temperature, soil moisture, air temperature and RH, photosynthetically active radiation (PAR), and rain.
This dataset contains hourly averages of air temperature and RH, soil temperature and moisture, PAR, and rain. This basic environmental data supports the other research that is going on at this site.
APEX beta SE site: hourly soil temperature, soil moisture and net radiation.
This dataset contains hourly averages of soil temperature and moisture, and net radiation. This basic environmental data supports the other research that is going on at this site.
APEX beta SW site: hourly soil temperature, and soil moisture.
This dataset contains hourly averages of soil temperature and moisture. This basic environmental data supports the other research that is going on at this site.
Alaska Peatland Experiment: 2011 Beta Root Biomass data taken during peak biomass (late July)
This dataset includes root biomass data taken at peak biomass during the 2011 growing season. Data was collected at the Alaskan Peatland Experiment Beta and Gamma sites.
Kraken 2.0.8 beta taxonomic binning of the CAMI 2 Mouse Gut Toy data set, gold standard pooled assembly
<p>Taxonomic binning of the gold standard pooled assembly<br> <strong>Software: </strong>Kraken<br> <strong>SoftwareVersion: </strong>2.0.8 beta<br> <strong>DataURL: </strong> https://data.cami-challenge.org/participate<br> <strong>SoftwareURL:</strong> https://ccb.jhu.edu/software/kraken2/<br> <strong>ReferenceDatabase:</strong> built 2019-05-22<br> <strong>Taxonomy:</strong> NCBI 2019-05-22<br> <strong>ShortReadsUsed:</strong> False<br> <strong>LongReadsUsed:</strong> False<br> <strong>CommandUsed:</strong> kraken2-build --standard --db kraken2db_std --use-ftp<br> kraken2 --db kraken2db_std --threads 16 --output 19122017_mousegut_scaffolds.kraken --report 19122017_mousegut_scaffolds.kreport anonymous_gsa_pooled.fasta<br> cat 19122017_mousegut_scaffolds | awk '{print $2 "\t" $3}' > 19122017_mousegut_scaffolds.cami</p>
Fig. 5 in Fish beta diversity responses to environmental heterogeneity and flood pulses are different according to reproductive guild
Fig. 5. Relationship between beta diversity (mean distance to centroid), environmental heterogeneity and period of the hydrological cycle. a. Beta diversity of non-migratory fish species with external fertilization and parental care (NEFC); b. beta diversity of non-migratory fish species with internal fertilization (NIF).
Fig. 4 in Fish beta diversity responses to environmental heterogeneity and flood pulses are different according to reproductive guild
Fig. 4. Beta diversity variation among the guilds. The boxes represent the interquartile ranges, the horizontal lines indicate the medians, the bars indicate the minimum and maximum values, and the closed diamonds represent the mean beta diversity of each guild. LMEF: long-distance migratory and external fertilization; NEFC: non-migratory with external fertilization and parental care; NEFW: nonmigratory with external fertilization without parental care; NIF: non-migratory with internal fertilization; DET: detritivorous; HER: herbivorous; INS: insectivorous; INV: invertivorous; ONI: omnivorous; and PIS: piscivorous.
Fig. 2 in Fish beta diversity responses to environmental heterogeneity and flood pulses are different according to reproductive guild
Fig. 2. Hydrometric-level (a) and environmental heterogeneity (b) variation between 2000 and 2012 in the Paraná River. The horizontal black dashed line indicates the flood level of the floodplain. Source: ANA - Estação Fluviométrica of Porto São José, PR.
2D EBSD Dataset of the Alpha and Beta Phase Orientations for a Hot-Rolled Model Zircaloy-4 with 7 wt.% Nb Alloy
<p>A set of electron backscatter diffraction (EBSD) data files for a model Zircaloy-4 with 7 wt.% Nb addition alloy following hot-rolling. </p> <p>The 2D data set contains EBSD maps recording the microstructure and texture evolution, from a beta-processed (and annealed) starting condition, following rolling at a temperature of 725C to 50% and 75% reduction. Data for annealing of the rolled materials (750C for 2 hours) is also included. <em>Note, phases in the ctf files marked as 'Titanium Cubic' refer to measurement of the 'Zirconium Cubic' phase.</em></p> <p>Please see our accompanying paper for analysis of the 2D measurements - as well as analysis of a 3D reconstruction from <a href="https://doi.org/10.5281/zenodo.3785084">10.5281/zenodo.3785084</a> - and for interpretation of the coupled crystallographic texture evolution;</p> <p>C.S. Daniel, A. Garner, P.D. Honniball, L. Bradley, M. Preuss, P.B. Prangnell, J. Quinta da Fonseca, Co-deformation and dynamic annealing effects on the texture development during alpha–beta processing of a model Zr-Nb alloy, Acta Materialia 205 (2021) 116538. <a href="https://doi.org/10.1016/j.actamat.2020.116538">10.1016/j.actamat.2020.116538</a></p>
Hiding in the heterochromatin: Endogenous pararetroviruses escape elimination from the genome of sugar beet (Beta vulgaris)
<p>Here we provide supplementary data for our study of endogenous pararetroviruses in the sugar beet genome (beetEPRVs).</p> <p>Our genome-wide screen showed the presence of three beetEPRVs families in the genome of sugar beet (<em>Beta vulgaris</em>). This dataset contains the consensus sequence for each beetEPRV family (Data S1) and the underlying multiple sequence alignments of individual, genomic beetEPRV copies (Data S2-S5). All data are provided in FASTA format. Sequence names include information on the analysed sugar beet assembly (EL10.1; genebank accession SAMN07736104; Funk <em>et al.</em>, 2018), chromosomal position (chromosome identifier; start and stop position), and sequence orientation (forward = plus; reverse = minus).</p>
Structure of Bg10: an alcohol-tolerant and glucose-stimulated beta-glucosidase
<p>Dataset collected at Diamond beamline I04 on 13-04-2019.</p> <p>Wavelength: 0.9795 A</p> <p>Detector: DECTRIS EIGER2 XE 16M</p>
Aberrant development of pancreatic beta cells derived from human iPSCs with FOXA2 deficiency
<p><strong>Project manager(s)</strong><strong>: </strong>Essam M. Abdelalim</p> <p>Induced pluripotent stem cells (iPSCs) were generated from a patient with a heterozygous deletion of the short arm of chromosome 20 at bands p11.22 to p11.21 (~969 kb deletion), which contains only one gene, <em>FOXA2 </em>(<em>FOXA2<sup>+/-</sup></em>iPSCs) as well as healthy controls (Ctr1 iPSCs and Ctr2 iPSCs). <em>FOXA2<sup>+/-</sup></em>iPSCs were differentiated into different stages of beta cell development to understand the role of FOXA2 during pancreatic beta cell development as described in the article entitled "<strong>Aberrant development of pancreatic beta cells derived from human iPSCs with <em>FOXA2</em> deficiency" by Elsayed et al</strong>. The dataset represents RNA-seq data generated from pancreatic progenitors (PP2) and endocrine progenitors (EPs) derived from Ctr1 iPSCs, Ctr2 iPSCs, and three clones of <em>FOXA2<sup>+/-</sup></em>iPSCs. </p> <p>The file name is: Sample name _overall sample number_read direction_001 where:</p> <p>- PP2-Ctr 1: pancreatic progenitors (PP2) derived from Ctr1 iPSCs (healthy control 1)</p> <p>- PP2-Ctr 2: pancreatic progenitors (PP2) derived from Ctr2 iPSCs (healthy control 2)</p> <p>- PP2-FOX1, PP2-FOX2, and PP2-FOX3: pancreatic progenitors (PP2) derived from three different clones of patient-derived <em>FOXA2<sup>+/-</sup></em>iPSCs.</p> <p>- EP-Ctr1: endocrine progenitors (Eps) derived from Ctr1 iPSCs (healthy control 1)</p> <p>- EP-Ctr2: endocrine progenitors (Eps) derived from Ctr2 iPSCs (healthy control 2)</p> <p>- EP-FOX R1, EP-FOX R2, and EP-FOX R3: endocrine progenitors (EPs) derived from three different clones of patient-derived <em>FOXA2<sup>+/-</sup></em>iPSCs.</p> <p>- The RNA-Seq data were generated from two Ctr-iPSC lines and three FOXA2<sup>+/-</sup>iPSC lines.</p> <p>- Read direction: R1 (Forward), R2 (Reverse).</p>
Snow dataset for Mount-Lebanon (2011-2016) - Beta
<p>We present a comprehensive snow dataset for Mont-Lebanon. The dataset includes continuous meteorological observations from three high elevation automatic weather stations (AWS), snowpack field measurements collected at 30 different snow courses (elevation range 1300-2900 m a.s.l.), and post-processed MODIS snow products. Meteorological and snow observations are presented for the snow seasons (November-June) between 2011 and 2016 for Mzar (MZA, 2294 m a.s.l.), 2014-2016 for the Cedars (CED, 2834 m a.s.l.), and 2015-2016 for Laqlouq (LAQ, 1830 m a.s.l.). Meteorological and snow data includes snow depth, temperature, relative humidity, incoming and reflected solar radiation, wind speed and direction, and atmospheric pressure measured at 30-min interval. Snow depth, snow density, and snow water equivalent were measured at the 30 different snow courses during snow season 2015 and 2016 with an average revisit time of 11.4 days. Post-processed daily MODIS snow cover area (SCA) and snow cover duration (SCD) products are presented for the three snow dominated basins (Abou Ali, Ibrahim, and El Kelb) and cover the time period from 01 September 2011 to 31 August 2016. The current dataset is at doi:10.5281/zenodo.321405.</p>
Fig. 7 in Taxonomic groups with lower movement capacity may present higher beta diversity
Fig. 7. Similarity in species composition of all the groups combined among the 16 localities sampled in Minas Gerais, Brazil, based on the Jaccard coefficient of similarity and subsequent cluster analysis (UPGMA). Obs.: dashed line (significance level: 0.5 or 50%) (AIU, Aiuruoca; BOC, Bocaina de Minas; CAM, Camanducaia; CAX, Caxambu; DEL, Delfim Moreira; EXT, Extrema; GUA, GuaxupÉ; MAR, Maria da FÉ; MON, Monte Belo; MVE, Monte Verde; PAS, Passa Quatro; POÇ, Poços de Caldas; POU, Pouso Alegre; SGS, SÃo Gonçalo do SapucaÍ; SRJ, Santa Rita de Jacutinga; VIR, VirgÍnia).
Fig. 2 in Taxonomic groups with lower movement capacity may present higher beta diversity
Fig. 2. Frequency of occurrence of spermatophytes (n=259), amphibians (n=44), birds (n=66) and primates (n=4) species in the 16 localities sampled in Minas Gerais, Brazil. Frequent (species with registered presence between nine and 16 locations); common (between five and eight localities); and rare (between one and four localities).
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.