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”
Underlying data / Hydrothermal carbonization as an alternative sanitation technology: process optimization and development of low-cost reactor
<p>Experimental data of a research publication "Hydrothermal carbonization as an alternative sanitation technology: process optimization and development of low-cost reactor" is provided.</p> <p><strong>Background:</strong> The provision of safe sanitation services is essential for human well-being and environmental integrity, but it is often lacking in less developed communities with insufficient financial and technical resources. Hydrothermal carbonization (HTC) has been suggested as an alternative sanitation technology, producing value-added products from faecal waste. We evaluated the HTC technology for raw human waste treatment in terms of resource recovery. In addition, we constructed and tested a low-cost HTC reactor for its technical feasibility.</p> <p><strong>Methods: </strong>Raw human faeces were hydrothermally treated in a mild severity range (≤ 200 °C and ≤ 1 hr). The total energy recovery was analysed from the energy input, higher heating value (HHV) of hydrochar and biomethane potential of process water. The nutrient contents were recovered through struvite precipitation employing process water and acid leachate from hydrochar ash. A bench-scale low-cost reactor (BLR) was developed using widely available materials and tested for human faeces treatment.</p> <p><strong>Results: </strong>The hydrochar had HHVs (23.2 - 25.2 MJ / kg) comparable to bituminous coal. The calorific value of hydrochar accounted for more than 90 % of the total energy recovery. Around 78 % of phosphorus in feedstock was retained in hydrochar ash, while 15 % was in process water. 72 % of the initial phosphorus can be recovered as struvite when deficient Mg and NH<sub>4</sub> are supplemented. The experiments with BLR showed stable operation for faecal waste treatment with an energy efficiency comparable to a commercial reactor system.</p> <p><strong>Conclusions: </strong> This research presents a proof of concept for the hydrothermal treatment of faecal waste as an alternative sanitation technology, by providing a quantitative evaluation of the resource recovery of energy and nutrients. The experiments with the BLR demonstrate the technical feasibility of the low-cost reactor and support its further development on a larger scale to reach practical implementation</p> <p> </p>
Model outputs and observation data for "Implementation and evaluation of the unified stomatal optimization approach in the Functionally Assembled Terrestrial Ecosystem Simulator (FATES)"
<p>Model outputs and observation data for paper "Implementation and evaluation of the unified stomatal optimization approach in the Functionally Assembled Terrestrial Ecosystem Simulator (FATES)".</p>
Supplementary Material for "High spatial resolution photogrammetry and LiDAR in the Cádiz Bay (SW, Spain): optimizing the application of UAV-techniques to salt marshes" article.
<p>Data presented in the study "High spatial resolution photogrammetry and LiDAR in the Cádiz Bay (SW, Spain): optimizing the application of UAV-techniques to salt marshes" </p>
AGP data for the project "Over-optimism in unsupervised microbiome analysis"
<p>Datasets from the American Gut Project (AGP) that were used by Ullmann et al. for the research project "Over-optimism in unsupervised microbiome analyis".</p> <p>The datasets were published by McDonald et al.:</p> <p>McDonald D, Hyde E, Debelius JW, Morton JT, Gonzalez A, Ackermann G,<br> et al. American gut: an open platform for citizen science microbiome research.<br> Msystems. 2018;3(3). DOI: <a href="https://doi.org/10.1128/mSystems.00031-18">https://doi.org/10.1128/mSystems.00031-18</a></p> <p>We accessed the files otu_table__BODY_HABITAT_UBERON_feces_json.biom and metadata__BODY_HABITAT_UBERON_feces__.txt at ftp://ftp.microbio.me/AmericanGut/ag-2017-12-04.</p> <p>The phyloseq object ag.genus.rds results from these files after preprocessing. (For the preprocessing code, see our Github repository.) </p>
Pareto-OptimaL allocatIon of Continuous IntEgration Resources
<p>Pareto-OptimaL allocatIon of Continuous IntEgration Resources (POLICIER) replication package</p>
Input dataset for the life cycle optimization of biobased PET supply chain
<p>Dataset with economic and environmental information used for the life cycle optimization of biobased PET using miscanthus as feestock.</p>
FIWARE-enabled smart solution for the optimal management and operation of raw-water supply hydraulic works
<p>This database includes the data used to produce the results for the following article:</p> <p>Kossieris, P., Pantazis, Bellos, V., C., Makropoulos, C., 2022. FIWARE-enabled smart solution for the optimal management and operation of raw-water supply hydraulic works. 7th IAHR Europe Congress, September 7th – 9th, 2022, Athens, Greece (accepted paper for oral presentation, in press). </p>
Data from: Mechanism matters: the cause of fluctuations in boom-bust populations governs optimal habitat restoration strategy
Many populations exhibit boom-bust dynamics in which abundance fluctuates dramatically over time. Past research has focused on identifying whether the cause of fluctuations is primarily exogenous, e.g., environmental stochasticity coupled with weak density dependence, or endogenous, e.g., over-compensatory density dependence. Far fewer studies have addressed whether the mechanism responsible for boom-bust dynamics matters with respect to at-risk species management. Here, we ask whether the best strategy for restoring habitat across a landscape differs under exogenously versus endogenously driven boom-bust dynamics. We used spatially explicit individual-based models to assess how butterfly populations governed by the two mechanisms would respond to habitat restoration strategies that varied in the level of resource patchiness – from a single large patch to multiple patches spaced at different distances. Our models showed that the restoration strategy that minimized extinction risk and boom-bust dynamics would be markedly different depending on the governing mechanism. Exogenously governed populations fared best in a single large habitat patch, whereas for endogenously driven populations, boom-bust dynamics were dampened and extinction risk declined when the total restored area was split into multiple patches with low to moderate inter-patch spacing. Adding environmental stochasticity to the endogenous model did not alter this result. Habitat fragmentation lowered extinction risk in the endogenously driven populations by reducing their growth rate, precluding both "boom" phases and, more importantly, "bust" phases. Our findings suggest that: 1) successful restoration will depend on understanding the causes of fluctuations in at-risk populations; 2) the level and pattern of spatiotemporal environmental heterogeneity will also affect the ideal management approach; and 3) counter-intuitively, for at-risk species with endogenously governed boom-bust dynamics, lowering the intrinsic population growth rate may decrease extinction risk.
Theoretical Design of Optimal Molecular Qudits for Quantum Error Correction. Open data set
<p>Data supporting the original figures 1, 2, 3 and 4 of the related publication.</p>
In vivo probabilistic atlas of white matter tracts of the human subthalamic area combining track density imaging and optimized diffusion tractography
<p>Sample code to reproduce the results of the paper "In vivo probabilistic atlas of white matter tracts of the human subthalamic area combining track density imaging and optimized diffusion tractography", by Basile et al., Brain Structure and Function 2022. </p> <p>The repository also includes the probabilistic atlas of the human subthalamic area.</p>
Computing Optimal Hypertree Decompositions with SAT - Results
<p>The data from our experiments.</p>
Data for Optimization of Printed Polyaniline Composites for Gas Sensing Applications
<p>Free available dataset for the publication in MDPI Sensors with the title: "Optimization of Printed Polyaniline Composites for Gas Sensing Applications"</p>
FIGURE 40. Character optimization. A. Character 74 in The tribe Dysoniini part VI: Phylogeny, biogeography and evolutionary trends of the lichen katydid genera (Orthoptera: Tettigoniidae: Phaneropterinae). Eleventh contribution to the suprageneric organization of Neotropical phaneropterines
FIGURE 40. Character optimization. A. Character 74. Balancing of the body in a stealthy, slow gait. B. Character 75. Backand-forth rocking of the body (wind mimicry). C. Character 76. Immature stages camouflaged among Cladia and Cladonia lichens.
FIGURE 37. Character optimization 70 in The tribe Dysoniini part VI: Phylogeny, biogeography and evolutionary trends of the lichen katydid genera (Orthoptera: Tettigoniidae: Phaneropterinae). Eleventh contribution to the suprageneric organization of Neotropical phaneropterines
FIGURE 37. Character optimization 70: Lichenomorphic camouflage (L:2, ci: 50, ri: 80). A. Unambiguous assumptions. B. Fast, and C. Slow.
Generating Optimal Robust Continuous Piecewise Linear Regression with Outliers Through Combinatorial Benders Decomposition - Data Sets
<p>Data Sets for the Paper: "Generating Optimal Robust Continuous Piecewise Linear Regression with Outliers Through Combinatorial Benders Decomposition".</p>
HYPPO product files from GAN optimization for HEP event simulations
<p>Contain the entirety of all the results obtained for the optimization of Generative Adversarial Network (GAN) models for high-energy physics simulations, using the HYPPO hyperparameter optimization software. All runs were executed on the NERSC's Cori cluster.</p>
Systemic optimization of gene electrotransfer protocol using hard-to-transfect UT-7 cell line as a model
<p><strong>Externally hosted supplementary file. </strong>Table S1: Table results of one-way ANOVA, followed by a post-hoc Tukey multiple comparison test. <em>P</em><0.05 value was considered statistically significant. Significant differences are marked in red. Table S2: Table results of one-way ANOVA, followed by a post-hoc Tukey multiple comparison test. <em>P</em><0.05 value was considered statistically significant. Significant differences are marked in red. Table S3: Table results of one-way ANOVA, followed by a post-hoc Tukey multiple comparison test. <em>P</em><0.05 value was considered statistically significant. Significant differences are marked in red.</p>
Exploring the conformers of an organic adsorbate on a metal cluster with Bayesian optimization
<p>[1] Lincan Fang, Xiaomi Guo, Milica Todorovic, Patrick Rinke, Xi Chen. Exploring the conformers of an organic adsorbate on a metal cluster with Bayesian optimization</p> <p>This dataset shows 1000 sampling points in the configuration space of the cysteine ligand binding with the S site of Au25S18 cluster. For Au25S18 cluster, there are two inequivalent S sites (Au-S-Au-S-Au-S-Au arrow top and side). Here, the binding S site is on "arrow side", we named it "system B". The sampling method is the Bayesian Optimization Structure Search (BOSS), each sampling point consists of structure features and DFT structure energy. The structure features are five dihedral angles of cysteine ligand, d1 (Au-S-C1-C2), d2 (S-C1-C2-N), d3 (C1-C2-N-H), d4 (C1-C2-C3-O1), and d5 (C2-C3-O1-H). The energy was calculated by FHI-aims with PBE functional, tier 2 setting with many-body dispersion corrections. Due to the confined configuration space of this system, we use the energy transformation method (see in manuscript) to tackle one sampling structure that cannot be simulated by DFT or has a huge high DFT energy. For additional details on BOSS search please refer to [1].</p> <p>The stable local minimum structures from BOSS can be found in NOMAD: https://dx.doi.org/10.17172/NOMAD/2022.08.20-1</p> <p> </p>
Supplementary data: Absorption of charged particles in Perfectly-Matched-Layers by optimal damping of the deposited current
<p>This archive contains the scripts needed to reproduce the figures of the paper "Absorption of charged particles in Perfectly-Matched-Layers by optimal damping of the deposited current" (https://arxiv.org/abs/2201.09084)</p> <p>More specifically, each folder contains:</p> <p>- Input scripts to run the WarpX simulations (this used WarpX 22.06): the corresponding files have names that start with `input`<br> - Script that show how the WarpX simulations were launched: the corresponding files have names that start with `submission`<br> - Jupyter notebooks that show how to plot the results: the corresponding files have names that start with `Plot`</p>
Dataset: Protocol for Designing, Optimizing and Analyzing Secondary Critical Material Supply Chains using RELOG
<p>Source code and data for "Protocol for Designing, Optimizing and Analyzing Secondary Critical Material Supply Chains using RELOG."</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.