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8,175 results for “additive”
Fig. 3 in Four new species of Sabicea (Rubiaceae) from tropical Africa, with additional notes on the genus
Fig. 3. – Seeds of Sabicea spp. viewed in electron microscopy. A. Sabicea desseinii Zemagho, O. Lachenaud & Sonké: entire seed; B. Sabicea desseinii: detail of seed surface; C. Sabicea jongkindii Zemagho, O. Lachenaud & Sonké: entire seed; D. Sabicea jongkindii: detail of seed surface. [A–B: J. & A. Raynal 9859, P; C–D: Jongkind et al. 12457, BR] [Photos: I. van der Beeten]
Fig. 2 in Four new species of Sabicea (Rubiaceae) from tropical Africa, with additional notes on the genus
Fig. 2. – Sabicea desseinii Zemagho, O. Lachenaud & Sonké. A. Leafy stem; B. Inflorescence and portion of old stem; C. Longitudinal section of flower (short-styled); D. Fruit, lateral view (left) and cross-section (right). [A–C: J.J.F.E. de Wilde 7648A, WAG; D–E: Sonké et al. 2498, BRLU] [Drawing: S. Bellanger]
Additional Data to "A Challenge for Contrastive L1/L2 Corpus Studies"
<p>Additional plots and data to the paper "A Challenge for Contrastive L1/L2 Corpus Studies: Large Inter- and Intra-Individual Variation Across Morphological, but Not Global Syntactic Categories in Task-Based Corpus Data of a Homogeneous L1 German Group", published in Frontiers of Psychology on Nov 25th, 2021.<br> <br> This repository contains the Falko data and additional plots of the individual distributions of morphological noun classes, frequent dependency types, and parts of speech in the Falko data. The Kobalt data discussed in the paper can be found in Shadrova (2021).</p>
Fig. 3 in Effects Of Leaf-Litter Addition On Carabid Beetles In A Non-Native Norway Spruce Plantation
Fig. 3. Seasonal dynamics of the average number of individuals per trap for the two species (± S. E.)
Fig. 1 in Effects Of Leaf-Litter Addition On Carabid Beetles In A Non-Native Norway Spruce Plantation
Fig. 1. Ordination (NMDS) of the pitfall catches based on the Bray-Curtis similarity index. ¡: Traps of the control plots and l: Traps of the leaf-litter plots
Figs 4–6 in New Additions To Ant Genus Carebara Westwood (Hymenoptera: Formicidae: Myrmicinae) From India
Figs 4–6. Carebara obtusidenta (Xu, 2003), major worker: 4 = head in full-face view, 5 = body inlateralview, 6 = bodyindorsalview.
Fig. 5. Baetis flaveola F.-J. Pictet, 1843 in Mayfly types and additional material (Insecta: Ephemeroptera) examined by F.-J. Pictet and A.-E. Pictet, housed in the Museums of Natural History of Geneva and Vienna
Fig. 5. Baetis flaveola F.-J. Pictet, 1843 nom. dub. (A) Syntype [?]. (B) Labels of syntype [?] 1. Scale bar: 5 mm. (C) Syntype [?] 2. Scale bar: 5 mm. (D) Labels of syntype [?] 2. Scale bar: 5 mm.
Fig. 1 in Mayfly types and additional material (Insecta: Ephemeroptera) examined by F.-J. Pictet and A.-E. Pictet, housed in the Museums of Natural History of Geneva and Vienna
Fig. 1. François-Jules Pictet de la Rive (1809-1872) in his library. Oil painting, without date or signature; attributed to a Mr Kaiser (according to an inscription on the back of the painting). Courtesy of the Fondation des Archives de la Famille Pictet, Geneva.
Figs 1-6 in Description of the male of Lepidotrigona nitidiventris (Smith, 1857), redescription of the female holotype and additional morphological data on the workers (Hymenoptera: Apidae: Meliponini)
Figs 1-6. Lepidotrigona nitidiventris, worker. (1-3) The Malaysian holotype, including its label at the bottom left of (3). (4-6) Thai worker, BCMU-LNW04 (HB-W1). Dorsal habitus (1, 4), lateral habitus (2, 5), head, frontal view (3, 6). Scale bars: 1 mm.
Figs 7-9 in Description of the male of Lepidotrigona nitidiventris (Smith, 1857), redescription of the female holotype and additional morphological data on the workers (Hymenoptera: Apidae: Meliponini)
Figs 7-9. Lepidotrigona nitidiventris, male, BCMU-LNM01 (HB-M1). Dorsal habitus (7), lateral habitus (8), head, frontal view (9). mt.cmb – metatibial comb. Scale bars: 1 mm.
Genetic diversity of wild and cultivated Coffea canephora in northeastern DR Congo and the implications for conservation - Additional Data
<p>List of wild and cultivated <em>Coffea canephora </em>accessions from northeastern Democratic Republic of the Congo included in Vanden Abeele et al. 2021 - American Journal of Botany, and the corresponding alleles for each of the 18 microsatellite markers (0 indicates missing alleles).</p>
Supplementary files for Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks, additional part 2
<p><strong>Supplementary files containing datasets needed to reproduce the results of the manuscript "Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks" by S. Choudhury et al.</strong></p> <p>The code to use with these data and reproduce the manuscript results is available at <a href="https://github.com/EPFL-LCSB/rekindle">https://github.com/EPFL-LCSB/rekindle</a> and <a href="https://gitlab.com/EPFL-LCSB/rekindle">https://gitlab.com/EPFL-LCSB/rekindle</a>. The execution of parts of this code is dependent on the SkimPy toolbox (<a href="https://github.com/EPFL-LCSB/skimpy">https://github.com/EPFL-LCSB/skimpy</a>). Refer to the readme files on the REKINDLE code repositories for more details.</p> <ul> <li><strong>Temporal evolution of perturbations in non-linear ordinary differential equations</strong> <ul> <li><strong>ode_solutions_physiology1_ORACLE.zip</strong> - contains 100 subfolders, each subfolder containing the time-series evolution data of 1000 kinetic models parameterized by ORACLE generated parameter sets for physiology 1, each of the 1000 models having a random perturbation.</li> </ul> </li> </ul> <p>The detailed instructions and the main body of the dataset is available here: <a href="https://zenodo.org/record/5803120">https://zenodo.org/record/5803120</a></p>
Supplementary files for Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks, additional part 1
<p><strong>Supplementary files containing datasets needed to reproduce the results of the manuscript "Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks" by S. Choudhury et al.</strong></p> <p>The code to use with these data and reproduce the manuscript results is available at <a href="https://github.com/EPFL-LCSB/rekindle">https://github.com/EPFL-LCSB/rekindle</a> and <a href="https://gitlab.com/EPFL-LCSB/rekindle">https://gitlab.com/EPFL-LCSB/rekindle</a>. The execution of parts of this code is dependent on the SkimPy toolbox (<a href="https://github.com/EPFL-LCSB/skimpy">https://github.com/EPFL-LCSB/skimpy</a>). Refer to the readme files on the REKINDLE code repositories for more details.</p> <ul> <li><strong>Temporal evolution of perturbations in non-linear ordinary differential equations</strong> <ul> <li><strong>ode_solutions_physiology1.zip - </strong>contains 100 subfolders, each subfolder containing the time-series evolution data of 1000 kinetic models parameterized by REKINDLE generated parameter sets for physiology 1, each of the 1000 models having a random perturbation.</li> </ul> </li> </ul> <p>The detailed instructions and the main body of the dataset is available here: <a href="https://zenodo.org/record/5803120">https://zenodo.org/record/5803120</a></p>
Dataset for paper entitled, 'Confirmation of rapid-heating β recrystallization in wire-arc additively manufactured Ti-6Al-4V'.
<p>Dataset for paper entitled, 'Confirmation of rapid-heating β recrystallization in wire-arc additively manufactured Ti-6Al-4V'. doi: https://doi.org/10.1016/j.mtla.2020.100857</p>
Ignition and combustion characteristics of n-butanol and FPBO/n-butanol blends with addition of ignition improver
<p>This is the dataset for the paper "Ignition and combustion characteristics of n-butanol and FPBO/n-butanol blends with addition of ignition improver." This research is supported by the European Union’s Horizon 2020 Research and Innovation programme (SmartCHP project, Grant Agreement No. 815259).</p> <p>In this study, the ignition and combustion characteristics of fast pyrolysis bio-oil (FPBO) are investigated in a combustion research unit (CRU), which mainly consists of a constant-volume combustion chamber. To fuel CRU with FPBO, n-butanol and 2-ethylhexyl nitrate (EHN) are used to improve the atomization and ignition properties of the fuel blends, respectively. In the first part of this study, an appropriate proportion of EHN additive into n-butanol is determined based on the balance between the ignition improvement and the amount of EHN addition. Then, the effects of FPBO content in FPBO/n-butanol blends with the same EHN addition are investigated. The effects of chamber wall temperature on the combustion are also studied. </p> <p> </p>
A Sensorized Soft Pneumatic Actuator Fabricated with Extrusion-Based Additive Manufacturing
<p>Soft pneumatic actuators with a channel network (pneu-net) based on thermoplastic elastomers are compatible with fused deposition modeling (FDM). However, conventional filament-based fused deposition modeling (FDM) printers are not well suited for thermoplastic elastomers with a shore hardness (Sh < 70A). Therefore, in this study, a pellet-based FDM printer was used to print pneumatic actuators with a shore hardness of Sh18A. Additionally, the method allowed the in situ integration of soft piezoresistive sensing elements during the fabrication. The integrated piezoresistive elements were based on conductive composites made of three different styrene-ethylene-butylene-styrene (SEBS) thermoplastic elastomers, each with a carbon black (CB) filler with a ratio of 1:1. The best sensor behavior was achieved by the SEBS material with a shore hardness of Sh50A. The dynamic and quasi-static sensor behavior were investigated on SEBS strips with integrated piezoresistive sensor composite material, and the results were compared with TPU strips from a previous study. Finally, the piezoresistive composite was used for the FDM printing of soft pneumatic actuators with a shore hardness of 18 A. It is worth mentioning that 3 h were needed for the fabrication of the soft pneumatic actuator with an integrated strain sensing element. In comparison to classical mold casting method, this is faster, since curing post-processing is not required and will help the industrialization of pneumatic actuator-based soft robotics</p>
Additional file 2 of Methylation data imputation performances under different representations and missingness patterns
<p>Additional file 2 of Methylation data imputation performances under different representations and missingness patterns</p> <p><a href="https://springernature.figshare.com/articles/journal_contribution/Additional_file_2_of_Methylation_data_imputation_performances_under_different_representations_and_missingness_patterns/12585955/1">Additional file 2 of Methylation data imputation performances under different representations and missingness patterns (figshare.com)</a></p>
Additional file 1 of Methylation data imputation performances under different representations and missingness patterns
<p>Additional file 1 Detailed imputation results per dataset.</p> <p><a href="https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Methylation_data_imputation_performances_under_different_representations_and_missingness_patterns/12585952/1">Additional file 1 of Methylation data imputation performances under different representations and missingness patterns (figshare.com)</a></p>
Additional file 3 of Methylation data imputation performances under different representations and missingness patterns
<p>Additional file 3 Performance comparison between complete (450k) and restricted (21k) datasets.</p> <p><a href="https://springernature.figshare.com/articles/journal_contribution/Additional_file_3_of_Methylation_data_imputation_performances_under_different_representations_and_missingness_patterns/12585958/1">Additional file 3 of Methylation data imputation performances under different representations and missingness patterns (figshare.com)</a></p> <p> </p>
Porosity distribution in sub-skin boundary area of the powderbed additively manufactured parts
<p>Repository contains measurement results of the experimental investigationn of the sub-skin porosity in additively manufactured parts. Specimens were manufactured using machine manufacturer's suggested process parameters. Four different machines (EOS M400, TRUMPF TruPrint 1000, SLM 280 and DMG MORI LASERTEC 30 2nd gen.) and four different powder materials (mararging steel 1.2709, aluminum alloy AlSi10Mg, Titanium grade 5 and stainless steel 1.4404) are covered. Influences of the relative orientation of the hatch and boundary scanning tracks was investigated. Efficiency of the mitigation strategy againts sub-skin porosity issues through distance variation between hatch and boundary tracks was evaluated.</p> <p>Please refer to README.MD (or .PDF) for more detailed information about this dataset.</p>
ScienceDex guides
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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.