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.
328
datasets available to search
ShareScore release 0.9.0
Dataset results
328 results for “Analysis results”
Finite element analysis results from simulation of fusion energy heat exchange component: hybrid CAD/IBSim model including a graphite foam interlayer
<p>Temperature profile data from a finite element analysis of a conceptual design for a fusion energy heat exchange component (monoblock). The mesh is a hybrid from a computer aided design (CAD) drawing for the pipe and armour and IBSim for the interlayer. The IBSim interlayer is generated directly from a 3D volumetric image of a graphite foam block (KFoam). The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Manchester X-ray Imaging Facility equipment, which was funded in part by the EPSRC (grants EP/F007906/1, EP/F001452/1 and EP/I02249X/1). Conversion of the data to FE mesh was achieved using ScanIP, part of the Simpleware suite of programmes, version 7 (Synopsys Inc., Mountain View, CA, USA).</p> <p>The mesh used for the analysis is available as a separate dataset:</p> <p><a href="https://doi.org/10.5281/zenodo.3522319">https://doi.org/10.5281/zenodo.3522319</a></p> <p>This data was used originally for the following publications (please cite if re-using the data):</p> <p>Ll.M. Evans, L. Margetts, P.D. Lee, C.A.M. Butler, E. Surrey, “Image based in silico characterisation of the effective thermal properties of a graphite foam”, Carbon, Vol. 143, pp. 542-558, 2018. <a href="https://doi.org/10.1016/j.carbon.2018.10.031">https://doi.org/10.1016/j.carbon.2018.10.031</a></p> <p>Ll.M. Evans, L. Margetts, P.D. Lee, C.A.M. Butler, E. Surrey, “Improving modelling of complex geometries in novel materials using 3D imaging”, Proceedings of NEA International Workshop on Structural Materials for Innovative Nuclear Systems, Manchester, UK, July 2016. <a href="https://www.oecd-nea.org/science/smins4/documents/P1-18_LlME_SMINS4_paper_reviewed.pdf">https://www.oecd-nea.org/science/smins4/documents/P1-18_LlME_SMINS4_paper_reviewed.pdf</a></p>
Fig. 2 Sectioned solemydid specimens and resulting binary images used for compactness analysis with Bone Profiler. a in Shell bone histology of solemydid turtles (stem Testudines): palaeoecological implications
Fig. 2 Sectioned solemydid specimens and resulting binary images used for compactness analysis with Bone Profiler. a Solemys vermiculata, costal fragment (MCNA-15047). b Solemys vermiculata, shell fragment (MCNA-15046). c Solemys sp., costal fragment (UPUAM-14001)
Results for the Pareto analysis on the POTG Normal Instances
<p>The .xlsx file contains the results for the multi-objective POTG (double drop, Hybrid ILS heuristic) formulation. For each scenario, all dominated and non-dominated solutions are reported for the normal instances which are available at https://zenodo.org/records/10032290.</p> <p>The sizing configuration, cost and total wait times for 1. traditional charging station and 2. POTG framework (under the investment sizing) is reported. Additionally, the total time a driver would take to drive to a charging station under the traditional setup and the runtime for the Hybrid heuristic are also reported.</p>
Deliverable 1.1.1.1 BEL-Float project | Dataset containing the results of numerical simulations (motions, forces) of the operational performance analysis - Part 9: Operational and damaged scenarios in regular waves
<p>This dataset contains the results of OpenFAST simulations performed on the DeepCwind OC4 semi-submersible combined with the 5MW NREL turbine for various wind and wave conditions. The basis of the OpenFAST input files are taken from <a href="https://github.com/OpenFAST/r-test/tree/main/glue-codes/openfast/5MW_OC4Semi_WSt_WavesWN">OpenFAST r-test GitHub repository (5MW_OC4Semi_WSt_WavesWN)</a> and adapted to simulate various wind and wave conditions. The turbulent wind field as the input to the InflowWind module is generated using <a href="https://www.nrel.gov/wind/nwtc/turbsim.html">TurbSim</a>. The simulations are performed on a modified version of OpenFAST v3.5.3 to which adaptation to the code is made to extract additional Morison drag output up to 16 cylindrical members. This adapted code is <a href="https://github.com/abkpribadi/openfast/tree/Morison_additional_output">uploaded on GitHub as a branch from a forked OpenFAST repository</a>. In total there are 1152 simulation results consists of 768 irregular waves and 384 regular waves cases. The complete dataset is divided into 9 sub-datasets to which this is part number 9. A report describing this dataset is available on the BEL-Float project website: https://www.owi-lab.be/bel-float.</p>
Dataset and results for paper:Data driven Virtual Material Analysis and Synthesis for Solid Electrolyte Interphases
<p>A data-driven strategy for virtual material analysis and synthesis enables the representation, characterization, and generation of solid electrolyte interphase (SEI) configurations based on kinetic Monte Carlo (KMC) simulations. A variational autoencoder (VAE) model, equipped with a property predictor, learns key features of 2D SEI configurations from selected samples. The model analyzes essential features at the bottleneck to assess how properties like thickness, porosity, density, and volume fraction influence learned data-driven characteristics. To improve classification, inputs to the VAE are conditioned with a reaction barrier set linked to specific SEI conditions, allowing for the generation of SEI configurations with customized physical properties.</p>
Figures 8–9. Results from analysis 3. 8. Results for ZADBI specimens. 9 in Identification of Megaselia (Diptera: Phoridae) species using wing vein landmarking
Figures 8–9. Results from analysis 3. 8. Results for ZADBI specimens. 9. Results for BioSCAN specimens.
F in Revision and biogeographical analysis of the black-chinned tilapia Sarotherodon melanotheron (Teleostei, Cichlidae): results of morphometric, allozyme, globin chain and mtDNA studies
F. 6. Neighbour-joining cladogram of the different mtDNA haplotypes identified in S. melanotheron, including cytochrome b sequences of six outgroup species: Oreochromis niloticus, Onil; O. tanganicae, Otan; O. malagarasi, Omal; O. mossambicus, Omos; O. aureus, Oau; Sarotherodon galilaeus, Sgal. Genetic distances were calculated following Kimura's (1980) two-parameter model. For abbreviations of haplotypes see table 1.
F in Revision and biogeographical analysis of the black-chinned tilapia Sarotherodon melanotheron (Teleostei, Cichlidae): results of morphometric, allozyme, globin chain and mtDNA studies
F. 7. Historical biogeographic scenario proposed for S. melanotheron/S. nigripinnis. Main migration routes/expansions from the centre of origin (Congo-Brazzaville/Gabon) are indicated by arrows. The systematic revision of the subspecies complex as proposed in this study is also indicated. The concrete species border between S. melanotheron and S. nigripinnis presently remains unknown.
F in Revision and biogeographical analysis of the black-chinned tilapia Sarotherodon melanotheron (Teleostei, Cichlidae): results of morphometric, allozyme, globin chain and mtDNA studies
F. 5. Unrooted neighbour-joining phylogeny of the 26 different mtDNA haplotypes identified within the sequenced part of the cytochrome b gene (307 bp). Genetic distances were calculated using Kimura's (1980) two-parameter model. The numbers at each node indicate percentage recovery of the particular node (1000 replicates). For abbreviations of haplotypes see table 1.
F in Revision and biogeographical analysis of the black-chinned tilapia Sarotherodon melanotheron (Teleostei, Cichlidae): results of morphometric, allozyme, globin chain and mtDNA studies
F. 2. Plot of factor 1 taken from a PCA on six meristic counts and factor 3 taken from a PCA on 18 log-transformed measurements of 187 specimens. Populations from 'natural' environments are illustrated.
F in Revision and biogeographical analysis of the black-chinned tilapia Sarotherodon melanotheron (Teleostei, Cichlidae): results of morphometric, allozyme, globin chain and mtDNA studies
F. 1. Geographic origin of the S. melanotheron samples examined. The numbering of the sampling localities corresponds to the listing of populations as indicated in table 1.
F in Revision and biogeographical analysis of the black-chinned tilapia Sarotherodon melanotheron (Teleostei, Cichlidae): results of morphometric, allozyme, globin chain and mtDNA studies
F. 4. Genetic relationships between the populations of S. melanotheron examined, based on allozyme data and globin chain characteristics. Unrooted bootstrap 50% majority rule consensus tree. The branch lengths correspond to the number of character changes along the branches. Numbers indicate the percentage obtained using bootstrapping (1000 replicates). For abbreviations of populations see table 1.
Figure 2. Phylogenetic tree resulting from a in Host specialization and species diversity in the genus Stylops (Strepsiptera: Stylopidae), revealed by molecular phylogenetic analysis
Figure 2. Phylogenetic tree resulting from a Bayesian analysis of the partial sequence from the mitochondrial NADH gene. The names of the host Andrena bees are indicated with every Stylops voucher number. The posterior probabilities are given before the slash; the bootstrap values from the maximum-likelihood (ML) analysis are given after the slash. Posterior probability values lower than 0.9, and bootstrap values lower than 50, are considered as unsupported and are thus replaced by an asterisk (*); incongruent nodes between the two analyses are indicated by a dash (-). Branch support is omitted at the nodes that were unsupported in both the Bayesian and the ML analyses.
Figure 3. Phylogenetic tree resulting from a in Host specialization and species diversity in the genus Stylops (Strepsiptera: Stylopidae), revealed by molecular phylogenetic analysis
Figure 3. Phylogenetic tree resulting from a Bayesian analysis of the partial sequence from the nuclear EF1 gene. Names of host Andrena bees are indicated at every Stylops voucher number. The names of the host Andrena bees are indicated with every Stylops voucher number. The posterior probabilities are given before the slash; the bootstrap values from the maximum-likelihood (ML) analysis are given after the slash. Posterior probability values lower than 0.9, and bootstrap values lower than 50, are considered as unsupported and thus replaced by an asterisk (*); incongruent nodes between the two analyses are indicated by a dash (-). Branch support is omitted at the nodes that were unsupported in both the Bayesian and the ML analyses.
Figure 10. The most parsimonious tree that resulted from the phylogenetic analysis, with 509 in The cranial morphology of the temnospondyl Australerpeton cosgriffi (Tetrapoda: Stereospondyli) from the Middle-Late Permian of Paraná Basin and the phylogenetic relationships of Rhinesuchidae
Figure 10. The most parsimonious tree that resulted from the phylogenetic analysis, with 509 steps, depicting the position of Australerpeton cosgriffi. Decay indices (Bremer support) with values above 1 are given below the nodes. Bootstrap percentages are given after the Bremer support values (ins) for clades with values above 50%.
Figure 5. Preferred single tree resulting from the analysis under implied weights with concavity constant k in Systematics of the genus Mayazomus (Arachnida: Schizomida): the relevance of using continuous characters and pedipalp setae patterns to schizomid phylogenetics
Figure 5. Preferred single tree resulting from the analysis under implied weights with concavity constant k = 100. Clade support is indicated above (Bremer support values) and below [symmetric resampling values; only significant values (over 50%) are presented] branches. Sensitivity plots ('Navajo rugs') indicate the recovery of the nodes in the analysis under implied weights with different values of k (black squares indicate monophyly; white squares indicate nonmonophyly).
FIGURE. Results of discriminant function analysis (DFA) for C. repens and their putative parental species. Characters abbreviated as in Table 2. A. Carex brizoides (br), C. repens (re) and C. disticha (di). Loadings for the first axis (only absolute values>0.50 are given): IL = -0.50. Loadings for the second axis (only absolute values>0.50 are given): CLW = 0.61, IL = -0.71, SN = 0.74. B. Carex arenaria (ar), C. repens (re) and C. disticha (di). Loadings for the first axis (only absolute values>0.50 are given): CL = 0.89, IL = -0.63, SN = 0.51. Loadings for the second axis: CLW = 0.83, IL = -0.70, SN = 0.59. C. Carex arenaria (ar), C. repens (re) and C. brizoides (br). Loadings for the first axis (only absolute values> 0.50 are given): CL = -0.83. Loadings for the second axis: CL = -0.61. in Carex section Ammoglochin (Cyperaceae) in Poland
FIGURE. Results of discriminant function analysis (DFA) for C. repens and their putative parental species. Characters abbreviated as in Table 2. A. Carex brizoides (br), C. repens (re) and C. disticha (di). Loadings for the first axis (only absolute values>0.50 are given): IL = -0.50. Loadings for the second axis (only absolute values>0.50 are given): CLW = 0.61, IL = -0.71, SN = 0.74. B. Carex arenaria (ar), C. repens (re) and C. disticha (di). Loadings for the first axis (only absolute values>0.50 are given): CL = 0.89, IL = -0.63, SN = 0.51. Loadings for the second axis: CLW = 0.83, IL = -0.70, SN = 0.59. C. Carex arenaria (ar), C. repens (re) and C. brizoides (br). Loadings for the first axis (only absolute values> 0.50 are given): CL = -0.83. Loadings for the second axis: CL = -0.61.
FIGURE. Results of discriminant function analysis (DFA) for C. arenaria (ar), C. colchica (co) and C. praecox (pr). Characters abbreviated as in Table 2. A. Reproductive characters. Loadings for the first axis (only absolute values>0.50 are given): LW = -0.53, LN = -1.53, WN = 2.40, LN/WN = 2.13. Loadings for the second axis: LN = -0.56. B. Vegetative characters. Loadings for the first axis (only absolute values>0.50 are given): IL = 0.62. Loadings for the second axis: CW = 0.86, CLL = 0.78, CLW = -0.65. in Carex section Ammoglochin (Cyperaceae) in Poland
FIGURE. Results of discriminant function analysis (DFA) for C. arenaria (ar), C. colchica (co) and C. praecox (pr). Characters abbreviated as in Table 2. A. Reproductive characters. Loadings for the first axis (only absolute values>0.50 are given): LW = -0.53, LN = -1.53, WN = 2.40, LN/WN = 2.13. Loadings for the second axis: LN = -0.56. B. Vegetative characters. Loadings for the first axis (only absolute values>0.50 are given): IL = 0.62. Loadings for the second axis: CW = 0.86, CLL = 0.78, CLW = -0.65.
FIGURE. Results of discriminant function analysis (DFA) for the reproductive characters of the Ammoglochin taxa. A—along axes DF1 and DF2; B—along axes DF1 and DF3. Characters abbreviated as in Table 2). Loadings for the first axis (only absolute values>0.50 are given: LN = 1.09, WN = -1.57, LN/WN = -1.59, FGL = 0.74. Loadings for the second axis: UL/UW = 0.57, LW = 0.71, WW = 0.52. Loadings for the third axis: UL = -0.73, UW = 1.56, UL/UW = 0.92, LN = -2.76, WN = 2.53, LN/WN = 2.14. ar—C. arenaria, br—C. brizoides, co—C. colchica, cu—C. curvata, pr—C. praecox, ps—C. pseudobrizoides. in Carex section Ammoglochin (Cyperaceae) in Poland
FIGURE. Results of discriminant function analysis (DFA) for the reproductive characters of the Ammoglochin taxa. A—along axes DF1 and DF2; B—along axes DF1 and DF3. Characters abbreviated as in Table 2). Loadings for the first axis (only absolute values>0.50 are given: LN = 1.09, WN = -1.57, LN/WN = -1.59, FGL = 0.74. Loadings for the second axis: UL/UW = 0.57, LW = 0.71, WW = 0.52. Loadings for the third axis: UL = -0.73, UW = 1.56, UL/UW = 0.92, LN = -2.76, WN = 2.53, LN/WN = 2.14. ar—C. arenaria, br—C. brizoides, co—C. colchica, cu—C. curvata, pr—C. praecox, ps—C. pseudobrizoides.
FIGURE. Results of discriminant function analysis (DFA) for the vegetative characters of the Ammoglochin taxa. A—along axes DF1 and DF2; B—along axes DF1 and DF3. Characters abbreviated as in Table 2. Loadings for the first axis (only absolute values>0.50 are given): SN = 0.57. Loadings for the second axis: CL = -0.91, IL = 0.54. Loadings for the third axis: CW = 0.62, CLL = -0.52, CLW = -0.89, IL = 0.51. ar—C. arenaria, br—C. brizoides, co—C. colchica, cu—C. curvata, pr—C. praecox, ps—C. pseudobrizoides, re—C. repens. in Carex section Ammoglochin (Cyperaceae) in Poland
FIGURE. Results of discriminant function analysis (DFA) for the vegetative characters of the Ammoglochin taxa. A—along axes DF1 and DF2; B—along axes DF1 and DF3. Characters abbreviated as in Table 2. Loadings for the first axis (only absolute values>0.50 are given): SN = 0.57. Loadings for the second axis: CL = -0.91, IL = 0.54. Loadings for the third axis: CW = 0.62, CLL = -0.52, CLW = -0.89, IL = 0.51. ar—C. arenaria, br—C. brizoides, co—C. colchica, cu—C. curvata, pr—C. praecox, ps—C. pseudobrizoides, re—C. repens.
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.