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3,630 results for “Forming”
Data associated with the manuscript 'Controlling the volume fraction of glass-forming colloidal suspensions using thermosensitive host 'mesogels' (J. Chem. Phys)
<p>Experimental data shown in the figures included in the article and the supporting material. The 'Readme.pdf' file provides a short descrption of each of the data files and links them with the corresponding figure.</p>
Young's modulus of rock-forming minerals in HaH346 meteorites
<p>HaH346陨石中不同成岩矿物的纳米压痕测试结果存储在EXCEL电子表格中。 </p>
Daily profiles (2030) of load of an urban electricity distribution network form Portugal - ATTEST project
<p>This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a real Portuguese Distribution test network, totally anonymized, located in an urban area as in 2030. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 10 kV and 60 kV, has 207 nodes (99 with consumption) and 206 branches. The auxiliary load data comprises 12 typical days representing the combination of each season and the type of day (business day, Saturday, Sunday) gathering the active and reactive consumption at each node of the network in intervals of 15 minutes. In addition, a “read me” file called “Manual” includes technical detailed information about how to read the data properly.</p>
Distribution. Known only from type locality, expected to be an endemic form of S Yemen. in Rhinopomatidae
Distribution. Known only from type locality, expected to be an endemic form of S Yemen.
PROCRAFT_Form A_Blade_Brest
<p>Information on a blade (from a propeller) found in Brest bay. Unidentified WWII aircraft. </p>
Pathways, form drag, and turbulence in a simulated ocean flowing through through an ice melange: datasets
<p>Data associated with Hughes (2022). <em>J. Geophys. Res. </em><a href="https://doi.org/10.1029/2021JC018228">doi:10.1029/2021JC018228</a></p> <p>This archive contains</p> <ol> <li>Output from all model simulations together with a summary csv file. Full details in <strong>melange_flow_simulations_readme.pdf</strong></li> <li>A directory (<strong>icebergs.zip</strong>) containing the scripts necessary to reproduce model outputs described in the paper.</li> </ol> <p> </p>
Importance of invasion mechanisms varies with abiotic context and plant invader growth form
<p><span>1. Many invasion hypotheses propose biotic interactions as the main mechanism to explain non-native species' success. Despite the evidence that the strength of biotic interactions varies with abiotic context, it remains unclear whether the importance of the different mechanisms proposed to explain invasion predictably varies with abiotic context and whether this variation is consistent across different growth forms.</span></p> <p><span>2. We reviewed studies at a global scale to evaluate whether evapotranspiration, latitude, precipitation, and temperature influence the importance of disturbance, enemy release, facilitation, and novel weapons mechanisms to explain non-native plant invasions. In total, we calculated 171 effect sizes for ~300 non-native plant species covering a wide range of environmental conditions and growth forms.</span></p> <p><span>3. Environmental context and plant growth form influenced the role played by each invasion mechanism. The importance of disturbance in facilitating invasion exhibited a quadratic relationship with latitude and temperature and decreased with increasing precipitation. In mixed communities and trees, disturbance was mediated by either evapotranspiration, latitude, precipitation, or temperature. Enemy release exhibited a quadratic relationship with evapotranspiration, latitude, and precipitation, and was positively related to temperature. The importance of enemy release was also contingent on growth form and was highly context-dependent, enemy release responses for grasses, and trees were modulated by either evapotranspiration, latitude, precipitation, or temperature. The importance of facilitation decreased with increasing temperature. In forbs, facilitation decreased with evapotranspiration and temperature. The importance of novel weapons was more strongly confirmed for studies conducted at lower evapotranspiration, precipitation, and higher latitudes, and exhibited a quadratic relationship with temperature.</span></p> <p><span>4. Synthesis. Our results show that environmental conditions not only filter non-native species depending on physiological tolerances but may also influence the importance of invasion mechanisms.</span></p>
Tarsius sp. "Manado form" Tangkoko Batuangus Nature Reserve, NE Sulawesi. Photo: Roland Seitre in Tarsiidae
Tarsius sp. "Manado form" Tangkoko Batuangus Nature Reserve, NE Sulawesi. Photo: Roland Seitre
Data from: How do algae form multicellular groups?
Background: Theory suggests that how groups are formed can be a major influence on the evolution of cooperation, and whether cooperative groups make the major transition to a higher level individual. The formation of clonal groups, by remaining with parents (subsocial group formation) leads to a greater kin selected benefit of cooperation, compared with formation of groups by aggregating, with potential non- relatives (semisocial). Freshwater algae form multicellular groups in response to the presence of predators, but it is not clear whether they form groups by remaining together (subsocial) or by aggregation (semisocial). Organisms: The freshwater algae Chlorella sorokiniana, Chlorella vulgaris and Scenedesmus obliquus, and the freshwater crustacean predator Daphnia magna. Results: Fluorescence microscopy and time-lapse photography revealed that, in response to predator supernatant/live predators, these algae form groups both subsocially and semisocially. Additionally, different algal species form mixed-species multicellular groups in response to predation. Conclusion: The observation of semisocial, and even between species, group formation in these facultatively multicellular algae: (i) emphasises the direct fitness benefits of forming groups to avoid predation; and (ii) strengthens the across species correlation between the method of group formation and whether multicellularity is facultative or obligate.
Rhodopsin-bestrophin fusion proteins from unicellular algae form gigantic pentameric ion channels - additional data
<p>This repository stores additional data files for the article Rozenberg, Kaczmarczyk, Matzov, Vierock et al (2022) "<a href="https://doi.org/10.1038/s41594-022-00783-x">Rhodopsin-bestrophin fusion proteins from unicellular algae form gigantic pentameric ion channels</a>".</p> <p>The files included are as follows:</p> <ul> <li>Inputs.zip - all input files to <a href="https://github.com/BejaLab/RRB">the workflow</a> (also available there)</li> <li>Species phylogenies: <ul> <li>Chlorophyte_orthogroups.zip, Haptophyte_orthogroups.zip, Dinoflagellate_orthogroups.zip - zip files with the orthogroups used in species phylogeny. Each folder corresponds to an orthogroup (busco orthogroups for chlorophytes and dinoflagellate, proteinortho orthogroups for haptophytes): <ul> <li>mafft.faa - mafft alignment</li> <li>trimal.faa - trimal trimmed alignment</li> <li>iqtree.treefile and iqtree.log - iqtree tree and log file</li> <li>treeshrink.treefile - treeshrink pruned tree</li> </ul> </li> </ul> </li> <li>Structural_alignment.zip includes structural alignments of the bestrhodopsin's rhodopsin and bestrophin domains with reference sequences: <ul> <li>rhodopsins.aln and bestrophins.aln- raw alignments from t_coffee</li> <li>rhodopsins_modified.fasta and bestrophins_modified.fasta - curated alignments</li> <li>rhodopsins.gff and bestrophins.gff - secondary structure features for the sequences</li> </ul> </li> <li>Global phylogeny of bestrophins and rhodopsins: <ul> <li>Bestrophins_global_sequences.zip - sequence data for the bestrophin global phylogeny: <ul> <li>uniref50.txt - uniref50 tabular data matching bestrophins (Pfam PF01062)</li> <li>ur50_long.cdhit, ur50_long.cdhit.clstr - cdhit clustering (50% identity)</li> <li>ur50_trim.faa - filtered and trimmed alignment used as input to iqtree</li> </ul> </li> <li>Bestrophins_global_phylogeny.zip - global bestrophin phylogeny. Subfolders corresponding to different runs with names corresponding to the seed values, each containing iqtree output files, in particular the newick ur50.treefile files.</li> <li>Rhodopsins_global_phylogeny.fasta, Rhodopsins_global_phylogeny.fasta.trimmed - alignment of rhodopsin sequences and its trimmed version as used for rhodopsin bestrophin phylogeny</li> <li>Rhodopsins_global_phylogeny.zip - global rhodopsin phylogeny. Subfolders corresponding to different runs with names corresponding to the seed values, each containing iqtree output files, in particular the newick rhodopsins.treefile files</li> <li>Rhodopsins_global_phylogeny_interproscan.zip - results of interproscan analysis of the rhodopsin sequences used for global phylogeny</li> </ul> </li> </ul>
Relating Crystal Structure to Surface Properties: A Study on Quercetin Solid Forms
<p>This dataset was used in the publication "Relating Crystal Structure to Surface Properties: A Study on Quercetin Solid Forms". In this work, the surface properties of two different quercetin solvates (quercetin dihydrate and quercetin DMSO solvate) were studied using molecular (synthonic) modeling and experimental techniques, including inverse gas chromatography (IGC) and contact angle measurements, to establish a relationship between crystal structure and surface properties. The attachment energy model was used to predict morphologies and calculate surface properties through the study of their growth synthons. The modeling results confirmed the surface chemistry anisotropy for the two forms. For quercetin dihydrate, the {010} facets were found to grow mainly by nonpolar offset quercetin–quercetin stacking interactions, thus being hydrophobic, while the {100} facets were expected to be hydrophilic, growing by a polar quercetin–water hydrogen bond. For QDMSO, the dominant facet {002} grows by a strong polar quercetin–quercetin hydrogen bonding interaction, while the second most dominant facet {011} grows by nonpolar π–π stacking interactions. Water contact angle measurements and IGC confirmed a greater overall surface hydrophilicity for QDMSO compared to QDH and demonstrated surface energy heterogeneity for both structures. This work shows how synthonic modeling can help in the prediction of the surface nature of crystalline particles and guide the choice of parameters that will determine the optimal crystal form and final morphology for targeted surface properties, for example, the choice of crystallization conditions, choice of solvent, or presence of additives or impurities, which can direct the crystallization of a specific crystal form or crystal shape.</p>
FIGURE 117 in Taxonomy of 'Euconnus complex'. Part XXIV. Intermediate forms between Psomophus, Eupentarius and Euconnus s. str. in the East Palaearctic fauna unify problematic subgenera (Coleoptera, Staphylinidae, Scydmaeninae)
FIGURE 117. Illustrated key to subgenera of Euconnus, part 3.
FIGURE 116 in Taxonomy of 'Euconnus complex'. Part XXIV. Intermediate forms between Psomophus, Eupentarius and Euconnus s. str. in the East Palaearctic fauna unify problematic subgenera (Coleoptera, Staphylinidae, Scydmaeninae)
FIGURE 116. Illustrated key to subgenera of Euconnus, part 2.
FIGURE 114 in Taxonomy of 'Euconnus complex'. Part XXIV. Intermediate forms between Psomophus, Eupentarius and Euconnus s. str. in the East Palaearctic fauna unify problematic subgenera (Coleoptera, Staphylinidae, Scydmaeninae)
FIGURE 114. Distribution of Euconnus cryptoiriomotensis sp. n.
FIGURE 115 in Taxonomy of 'Euconnus complex'. Part XXIV. Intermediate forms between Psomophus, Eupentarius and Euconnus s. str. in the East Palaearctic fauna unify problematic subgenera (Coleoptera, Staphylinidae, Scydmaeninae)
FIGURE 115. Illustrated key to subgenera of Euconnus, part 1.
FIGURE 109 in Taxonomy of 'Euconnus complex'. Part XXIV. Intermediate forms between Psomophus, Eupentarius and Euconnus s. str. in the East Palaearctic fauna unify problematic subgenera (Coleoptera, Staphylinidae, Scydmaeninae)
FIGURE 109. Distribution of Euconnus debilis (Sharp) and E. multiinsularis sp. n.
FIGURE 112 in Taxonomy of 'Euconnus complex'. Part XXIV. Intermediate forms between Psomophus, Eupentarius and Euconnus s. str. in the East Palaearctic fauna unify problematic subgenera (Coleoptera, Staphylinidae, Scydmaeninae)
FIGURE 112. Distribution of Euconnus taiwanus Franz, and E. banana sp. n.
FIGURE 113 in Taxonomy of 'Euconnus complex'. Part XXIV. Intermediate forms between Psomophus, Eupentarius and Euconnus s. str. in the East Palaearctic fauna unify problematic subgenera (Coleoptera, Staphylinidae, Scydmaeninae)
FIGURE 113. Distribution of Euconnus bibaculatus sp. n., and E. oitaensis sp. n.
FIGURE 111 in Taxonomy of 'Euconnus complex'. Part XXIV. Intermediate forms between Psomophus, Eupentarius and Euconnus s. str. in the East Palaearctic fauna unify problematic subgenera (Coleoptera, Staphylinidae, Scydmaeninae)
FIGURE 111. Distribution of Euconnus pseudotrimerus sp. n., and E. urauchianus sp. n.
FIGURES 35‒36 in Taxonomy of 'Euconnus complex'. Part XXIV. Intermediate forms between Psomophus, Eupentarius and Euconnus s. str. in the East Palaearctic fauna unify problematic subgenera (Coleoptera, Staphylinidae, Scydmaeninae)
FIGURES 35‒36. Euconnus kirin sp. n., male. Head in anterodorsal (35) and lateral (36) views.
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.