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.
5,573
datasets available to search
ShareScore release 0.9.0
Dataset results
5,573 results for “optimality”
Bank fundamental dynamics: the role of optimal bank management
Open the record for dataset details and reuse information.
Revolutionizing Sustainable Bauxite Supply: Optimizing Barge Unloading at West Kalimantan Smelter Jetty
Open the record for dataset details and reuse information.
Models, scripts, simulated data, and results from the article "Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework."
Open the record for dataset details and reuse information.
Code to support 'Optimal elevations for afforestation and reforestation to enhance biomass carbon accumulation in the tropics'
Open the record for dataset details and reuse information.
Dataset for article "Optimal Floquet State Engineering for Large Scale Atom Interferometers"
Open the record for dataset details and reuse information.
Data for MS: Optimization of signal and noise in x-ray phase and dark field imaging with a wire mesh
Open the record for dataset details and reuse information.
Publication data: Bayesian optimization for state engineering of quantum gases
Open the record for dataset details and reuse information.
Data for the paper 'A Novel Simulation Optimization Framework for Multi Scale Irrigation Water Distribution and Scheduling Considering Crop Growth Process' submitted to Water Resources Research, an AGU journal
<p>This data set contains the data for the paper 'A Novel Simulation Optimization Framework for Multi Scale Irrigation Water Distribution and Scheduling Considering Crop Growth Process' submitted to Water Resources Research, an AGU journal. <span>The settings and crop parameters are consist of maize</span><span><span>(</span></span><span><a title="Ran, 2018 #74" href="#_ENREF_44"><span>Ran et al., 2018</span></a></span><span>; </span><span><a title="Shirazi, 2021 #75" href="#_ENREF_48"><span>Shirazi et al., 2021</span></a></span><span>)</span><span></span><span>, flower</span><span><span>(</span></span><span><a title="Reyhaneh alsadat Mousavi Zadeh Mojarad, 2018 #83" href="#_ENREF_45"><span>Reyhaneh alsadat Mousavi Zadeh Mojarad, 2018</span></a></span><span>; </span><span><a title="Karimi Avargani, 2023 #80" href="#_ENREF_24"><span>Karimi Avargani et al., 2023</span></a></span><span>)</span><span></span><span> and wheat</span><span><span>(</span></span><span><a title="Iqbal, 2014 #76" href="#_ENREF_17"><span>Iqbal et al., 2014</span></a></span><span>; </span><span><a title="Huang, 2022 #79" href="#_ENREF_15"><span>Huang et al., 2022</span></a></span><span>; </span><span><a title="Lyu, 2022 #99" href="#_ENREF_38"><span>Lyu et al., 2022</span></a></span><span>; </span><span><a title="Karimi Avargani, 2023 #80" href="#_ENREF_24"><span>Karimi Avargani et al., 2023</span></a></span><span>)</span><span></span><span>,</span><span> which used for initializing AquaCrop-OS . </span></p>
Data set and control code for "Force and time-optimal trajectory planning for dual-arm unilateral cooperative grasping"
<p>See the attached readme file</p>
Data for ICSE 2025 paper "Search-Based LLMs for Code Optimization"
Open the record for dataset details and reuse information.
Data from: On the optimal trimming of high-throughput mRNA sequence data
The widespread and rapid adoption of high-throughput sequencing technologies has afforded researchers the opportunity to gain a deep understanding of genome level processes that underlie evolutionary change, and perhaps more importantly, the links between genotype and phenotype. In particular, researchers interested in functional biology and adaptation have used these technologies to sequence mRNA transcriptomes of specific tissues, which in turn are often compared to other tissues, or other individuals with different phenotypes. While these techniques are extremely powerful, careful attention to data quality is required. In particular, because high-throughput sequencing is more error-prone than traditional Sanger sequencing, quality trimming of sequence reads should be an important step in all data processing pipelines. While several software packages for quality trimming exist, no general guidelines for the specifics of trimming have been developed. Here, using empirically derived sequence data, I provide general recommendations regarding the optimal strength of trimming, specifically in mRNA-Seq studies. Although very aggressive quality trimming is common, this study suggests that a more gentle trimming, specifically of those nucleotides whose Phred score < 2 or < 5, is optimal for most studies across a wide variety of metrics.
Data from: The optimization of fermentation conditions for producing cellulase of Bacillus amyloliquefaciens and its application to goose feed
The proper culture conditions for producing cellulase of Bacillus amyloliquefaciens S1, isolated from the cecum of goose was optimized by single-factor experiment combined with orthogonal test. The properties of the cellulase were investigated by DNS method. The appropriate doses of B. amyloliquefaciens S1 were obtained by adding them to goose feed. It indicated that the suitable culture conditions of producing cellulase were the culture temperature of 37°C, the initial pH of 7.0, the incubation time of 72 h and the loaded liquid volume of 75 ml per 250 ml. The effects of each factor on producing cellulase by B. amyloliquefaciens S1 were as follows: initial pH > incubation time = culture temperature > loaded liquid volume. The optimum reaction temperature and pH were 50°C and 7.0, respectively. This enzyme is a kind of neutral cellulase that possesses resistance to heat and acidity. It showed high activity to absorbent cotton, soya bean meal and filter paper. By adding different doses of B. amyloliquefaciens S1 to the goose feed, it was found that the egg production, average egg weight, fertilization rate and the hatching rate were promoted both in experiment 1 (1.5 g kg−1) and experiment 2 (3 g kg−1). Also the difference of egg production, fertilization rate and hatching rate between experiment 1 and control group was obvious (p < 0.05), and the average egg weight was significantly increased in experiment 2 (p < 0.05).
Data from: Gene duplication and co-evolution of G1/S transcription factors specificity in fungi are essential for optimizing cell fitness
Transcriptional regulatory networks play a central role in optimizing cell survival. How DNA binding domains and cis-regulatory DNA binding sequences have co-evolved to allow the expansion of transcriptional networks and how this contributes to cellular fitness remains unclear. Here we experimentally explore how the complex G1/S transcriptional network evolved in the budding yeast Saccharomyces cerevisiae by examining different chimeric transcription factor (TF) complexes. Over 300 G1/S genes are regulated by either one of the two TF complexes, SBF and MBF, which bind to specific DNA binding sequences, SCB and MCB, respectively. Our data suggests that whilst SBF is the likely ancestral regulatory complex, the ancestral DNA binding element is more MCB-like. G1/S network expansion took place by both cis- and trans- co-evolutionary changes in closely related but distinct regulatory sequences. Replacement of the endogenous SBF DNA-binding domain (DBD) with that from more distantly related fungi leads to a contraction of the G1/S network in budding yeast, which also correlates with increased defects in cell growth, cell size, and proliferation. This indicates that expansion of the G1/S network in budding yeast may represent an evolutionary product of selection for cell cycle fitness.
Data from: Optimal allocation ratios: A square root relationship between the ratios of symbiotic costs and benefits
<p>All organisms struggle to make sense of environmental stimuli in order to maximize their fitness. For animals, single cells and superorganisms responses to stimuli are generally proportional to stimulus ratios – a phenomenon described by Weber's Law. However, Weber's Law has not yet been used to predict how plants respond to stimuli generated from their symbiotic partners. Here, we develop a model for quantitatively predicting the carbon (C) allocation ratios into symbionts that provide nutrients to their plant host. Consistent with Weber's Law, our model demonstrates the optimal ratio of resources allocated into a less- relative to the more-beneficial symbiont scale to the ratio of the growth benefits of the two strains. As C allocation into symbionts increases, the ratio of C allocation into two strains approaches the square root of the ratio of symbiotic growth benefits (e.g., a worse symbiont providing ¼ the benefits gets sqrt(¼) =1/2 the C of a better symbiont). We document a compelling correspondence between our square-root model prediction and a meta-analysis of experimental literature on C allocation. This type of preferential allocation can promote coexistence between more- and less-beneficial symbionts, offering a potential mechanism behind the high diversity of microbial symbionts observed in nature.</p>
Data from: Ultraconserved element (UCE) probe set design: base genome and initial design parameters critical for optimization
Targeted capture and enrichment approaches have proven effective for phylogenetic study. Ultraconserved elements (UCEs) in particular have exhibited great utility for phylogenomic analyses, with the software package phyluce being among the most utilized pipelines for UCE phylogenomics, including probe design. Despite the success of UCEs, it is becoming increasing apparent that diverse lineages require probe sets tailored to focal taxa in order to improve locus recovery. However, factors affecting probe design and methods for optimizing probe sets to focal taxa remain underexplored. Here, we use newly available beetle (Coleoptera) genomic resources to investigate factors affecting UCE probe set design using phyluce. In particular, we explore the effects of stringency during initial design steps, as well as base genome choice on resulting probe sets and locus recovery. We found that both base genome choice and initial bait design stringency parameters greatly alter the number of resultant probes included in final probe sets and strongly affect the number of loci detected and recovered during in silico testing of these probe sets. In addition, we identify attributes of base genomes that correlated with high performance in probe design. Ultimately, we provide a recommended workflow for using Phyluce to design an optimized UCE probe set that will work across a targeted lineage, and use our findings to develop a new, open‐source UCE probe set for beetles of the suborder Adephaga.
Optimal Exclusive Perpetual Grid Exploration by Luminous Myopic Opaque Robots: The Animations
<p>Animations of three optimal perpetual grid exploration algorithms.</p> <p>The published HTML pages allow the viewer to see the first 300 rounds of the algorithms, for different initial configurations.</p> <p>To view the animation without downloading them, they are also accessible at the following urls: </p> <ul> <li><a href="https://bramas.fr/static/ICDCN2021/2-robots-3-colors-range-1.html">https://bramas.fr/static/ICDCN2021/2-robots-3-colors-range-1.html</a></li> <li><a href="https://bramas.fr/static/ICDCN2021/2-robots-2-colors-range-2.html">https://bramas.fr/static/ICDCN2021/2-robots-2-colors-range-2.html</a></li> <li><a href="https://bramas.fr/static/ICDCN2021/3-robots-1-color-range-2.html">https://bramas.fr/static/ICDCN2021/3-robots-1-color-range-2.html</a></li> <li><a href="https://bramas.fr/static/TCS2021/4-robots-1-color-terminating.html">https://bramas.fr/static/TCS2021/4-robots-1-color-terminating.html</a></li> <li><a href="https://bramas.fr/static/TCS2021/2-robot-7-colors-terminating.html">https://bramas.fr/static/TCS2021/2-robot-7-colors-terminating.html</a></li> </ul>
Analytical and optimization data for determination of azelastine hydrochloride and fluticasone propionate by quantitative proton NMR
<p>A facile, rapid, accurate, and selective quantitative proton nuclear magnetic resonance (<sup>1</sup>H-qNMR) method was developed for the simultaneous determination of fluticasone propionate and azelastine hydrochloride in pharmaceutical nasal spray for the first time. The <sup>1</sup>H-qNMR analysis of the studied analytes was performed using inositol as the internal standard and dimethyl sulfoxide-<i>d<sub>6</sub></i> (DMSO-<i>d<sub>6</sub>) </i>as the solvent. The quantitative selective proton signal of fluticasone propionate was doublet of doublet at 6.290, 6.294, 6.316, and 6.319 ppm, while that of azelastine hydrochloride was doublet at 8.292 and 8.310 ppm. The internal standard (inositol) produced a doublet signal at 3.70 and 3.71 ppm. The method was rectilinear over the concentration ranges of 0.25–20.0 mg mL<sup>-1</sup> and 0.2–15.0 mg mL<sup>-1</sup> for fluticasone propionate and azelastine hydrochloride, respectively. No labeling or pretreatment steps were required for NMR analysis of the studied analytes. The proposed <sup>1</sup>H-qNMR method was validated efficiently according to the International Council on Harmonisation (ICH) guidelines in terms of linearity, limit of detection, limit of quantification, accuracy, precision, specificity, and stability. Moreover, the method was applied to assay the analytes in their combined nasal spray formulation. The results ensured the linearity (r<sup>2</sup> > 0.999), precision (% RSD < 1.5), stability, specificity, and selectivity of the developed method.</p>
Figure 2 in Embryo retention, character optimization, and the origin of the extra-embryonic membranes of the amniotic egg
Figure 2. Distribution of random trees (out of 10,000) versus number of steps required by the distribution of developmental characters. (a) Character 1 (presence or absence of extended embryo retention). The reference tree requires three steps (*) for this character. (b) Character 2 (developmental stage at oviposition, with ordered states). The reference tree requires nine steps (*) for this character. Note that for both characters, many random trees require no more steps than the reference tree, thus implying that there is no phylogenetic signal in these characters.
Counteracting dephasing in Molecular Nanomagnets by optimized qudit encodings. Open data set
<p>Data supporting the original figures 1, 2, 3, 4, 5, 7 of the related publication.</p>
Anticipatory Drainage Base Management for Groundwater Level Optimization [Data Set]
<p>This dataset is related to https://doi.org/10.1029/2021WR029623. The dataset includes both source code (in R) and data underlying the related publication, which is used to make analytical and numerical approximations of the groundwater level midway between the drains in a tile-drained field under controlled drainage. Both steady and transient simulations can be made, and active management of the drainage base is possible. </p> <p>When using the data, cite it as follows: van de Craats, D., van der Zee, S.E.A.T.M., & Leijnse, A. (2021). Anticipatory drainage base management for groundwater level optimization [Data Set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.4428869">https://doi.org/10.5281/zenodo.4428869</a><br> Please also cite the related publication if this data or source code is used.</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.