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542 results for “hardness”
EBSD datasets for cross-sectioned structural steel hardness indentations - Adaptive Domain Misorientation
<p>Open access datasets for structural steel hardness indentations from the following publication: Ultramicroscopy 2021, Volume 222: <a href="https://doi.org/10.1016/j.ultramic.2021.113203">https://doi.org/10.1016/j.ultramic.2021.113203</a></p> <p>Files included:</p> <ul> <li>Adaptive domain misorientation calculated for Indentation 1 and 2 using misorientation thresholds (Delta theta) 0.5deg and 2deg, corresponding to dense dislocation walls and sub-grain boundaries</li> <li>Indentation 2: Raw dataset and associated mask file for excluding the edge of the data</li> </ul> <p>The methodology for analysing and plotting of the data is found at: <a href="https://doi.org/10.5281/zenodo.4430623">https://doi.org/10.5281/zenodo.4430623</a></p> <p>For further information visit: Aalto University Wiki - <a href="https://wiki.aalto.fi/display/EMDIDS">https://wiki.aalto.fi/display/EMDIDS</a></p>
- Wings yellowish with apex blackish and an additional subapical transverse blackish band on fore wing (a); epicnemial carina very short, hardly extending onto mesopleuron (b) ………E. maynei Benoit, 1952 in A review of the Afrotropical Rhyssinae (Hymenoptera: Ichneumonidae) with the descriptions of five new species
- Wings yellowish with apex blackish and an additional subapical transverse blackish band on fore wing (a); epicnemial carina very short, hardly extending onto mesopleuron (b) ………E. maynei Benoit, 1952
Brinell-Hardness (HBW 2.5/62.5) of Al-alloy EN AW-2618A after different aging times and temperatures
<p>The dataset contains data from Brinell hardness measurements of Al-alloy EN AW-2618A after aging for different times and temperatures. Aging was either load free or with applied tensile load (creep). The investigated material and the applied methods were described in detail in two publications.</p> <p>Version 2.0 has been extended with additional data for further ageing temperatures.</p> <p>Further information is provided in the file content.pdf.</p>
KupferDigital mechanical testing datasets: Brinell hardness, Vickers hardness, and tensile tests
<p><span>The Kupfer<em>Digital</em> project aims to develop digital methods, tools, and data space infrastructures for digitalizing the entire life cycle of copper materials. The mechanical testing process is one of the main chains of such life cycles which generates lots of important testing data about the mechanical properties of the materials and their related materials and testing metadata. To train the digitalization of the mechanical testing process, different kinds of copper alloys were provided for this project, and their mechanical properties were measured by typical methods like Brinell and Vickers hardness and tensile testing. The primary raw testing data as well as the secondary datasets of these tests are provided. The detailed materials specifications, the utilized mechanical testing methods, and the provided datasets are described in the content file. The test data files of heterogeneous structures are processed by the Kupfer<em>Digital</em> digital tools to be converted to standardized machine-readable data files.</span></p>
Gene embeddings used in GenePT: A Simple But Hard-to-Beat Foundation Model for Genes and Cells Built From ChatGPT
<p>These are the pulled NCBI (and UniProt, when applicable) summaries of genes, as well as the corresponding OpenAI text embeddings (text-embedding-ada-002 and text-embedding-3-large) computed on the summaries. See methods details in Chen and Zou (2024+).</p> <p>The unzipped folder contains four different files: </p> <ol> <li>NCBI_summary_of_genes.json (NCBI gene card summary of human genes)</li> <li>NCBI_UniProt_summary_of_genes.json (NCBI gene card and UniProt protein (when applicable) summary of human genes)</li> <li>GenePT_gene_embedding_ada_text.pickle (a dictionary of numpy array where gene names (upper case) are keys and text-embedding-ada-002 embeddings of the summary in 1. are the values)</li> <li>GenePT_gene_protein_embedding_model_3_text.pickle (a dictionary of numpy array where gene names (upper case) are keys and text-embedding-3-large embeddings of the summary in 1. are the values)</li> </ol> <p>Reference:</p> <p>Chen YT, Zou J. (2024+) GenePT: A Simple But Effective Foundation Model for Genes and Cells Built From ChatGPT. bioRxiv preprint: <a href="https://www.biorxiv.org/content/10.1101/2023.10.16.562533v1">https://www.biorxiv.org/content/10.1101/2023.10.16.562533v1</a>.</p>
Figures 1-3 in Morphological and molecular identification of the hard ticks parasitizing Tremarctos ornatus (Carnivora: Ursidae) from paramo of Ecuador
Figures 1-3. Ixodes boliviensis (male)— 1. Dorsal view, 2. Ventral view, 3. Ventral view of capitulum and idiosoma.
Nanoindentation hardness and modulus of Al2O3-SiO2-CaO and MnO-SiO2-FeO inclusions in iron
<p>Dataset corresponding to the following manuscript: </p> <p>Slagter, A., Setyadji, J.A., Vogt, E.L. <em>et al.</em> Nanoindentation Hardness and Modulus of Al<sub>2</sub>O<sub>3</sub>–SiO<sub>2</sub>–CaO and MnO–SiO<sub>2</sub>–FeO Inclusions in Iron. <em>Metall Mater Trans A</em> (2024). https://doi.org/10.1007/s11661-024-07330-x</p> <p> </p> <p>The dataset contains raw nanoindentation data both in .hys (Hysitron software) and .txt format, as well as the files used for post-processing of the data.</p> <p>It also contains thermodynamic simulation files produces with Thermo-Calc software and its correspondig results exported to .txt format</p>
Experimental absorption spectra used in "Spectral profile of ro-vibrational transitions of HCl broadened by He, Ar and SF6: testing the β-correction to the Hartmann-Tran profile and the speed dependent (complex) hard collision model"
<p>Experimental absorption spectra used in the article entitled <strong>"Spectral profile of ro-vibrational transitions of HCl broadened by He, Ar and SF<sub>6</sub>: testing the β-</strong><strong>correction to the Hartmann-Tran profile and the speed dependent (complex) hard collision model", </strong>to be published in the Journal of Quantitative Spectroscopy and Radiative Transfer. Accepted 19 March 2024.</p> <div> <div> <div> <div> <h3><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jqsrt.2024.108977" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jqsrt.2024.108977</a></h3> </div> </div> </div> </div> <p> </p> <p>Comma separated ASCII files with 1 header line.</p> <p>First column is wavenumber in cm-1</p> <p>The rest of the columns contain the napierian absorbance at the total pressure given in the header. </p> <p>Mind the units!: pressure of Ar-mixtures is expressed in Torr, pressure of He- and SF6-mixtures is expressed in mbar</p> <p> </p>
FIG. 2. — A in Update and observations on the extraction of ostracods (Crustacea) from the Permian hard carbonate rocks of Iran
FIG. 2. — A, Location map of the study area in the northwest of Iran (from Ghaderi et al. 2016); B, geologic map of the study area at the west of Julfa City; the Ali-Bashi section is marked with a white star (from Ghaderi 2014); C, palaeogeographic map of the Lopingian and location of the study area (white star) as a part of a Cimmerian block, close to the equator in the southern hemisphere (from Ruban et al. 2007).
FIG. 4. — A in Update and observations on the extraction of ostracods (Crustacea) from the Permian hard carbonate rocks of Iran
FIG. 4. — A, Field pictures of the Ali-Bashi section, with the succession of the Khachik Beds lower part (view Northward); B, general view of the upper parts of the Khachik Beds, include thick bedded to massive cherty limestones (view to the Northwest).
FIG. 1 in Update and observations on the extraction of ostracods (Crustacea) from the Permian hard carbonate rocks of Iran
FIG. 1. — Historical background of the Guadalupian-Lopingian successions in the northwest of Iran; following Stepanov et al. (1969), Teichert et al. (1973), Partoazar (2002), Ghaderi (2014) and Ghaderi et al. (2014a, b, 2016).
FIG. 3 in Update and observations on the extraction of ostracods (Crustacea) from the Permian hard carbonate rocks of Iran
FIG. 3. — Stratigraphic log and vertical distribution of ostracods (obtained from CH2O2 protocol) in the Khachik Formation from the Ali-Bashi section.
Radiation hardness of ultrabroadband spintronic terahertz emitters: En-route to a space-qualified terahertz time-domain gas spectrometer
<p>Data for the publication "Radiation hardness of ultrabroadband spintronic terahertz emitters: En-route to a space-qualified terahertz time-domain gas spectrometer" accepted for publication in Applied Physics Letters. The following datasets are provided: time-domain raw data (dry vs ambient conditions) and corresponding Fourier amplitude spectra as well as the impedance of the spintronic THz emitter vs frequency, THz transmission Fourier amplitude spectra from a spintronic THz emitter propagating through a gas cell with CO2 and N2, CO2 absorption coefficient vs frequency from THz transmission measurements through the gas cell, electro-optic THz signals and corresponding Fourier amplitude spectra for gamma and proton irradiated spintronic THz emitters as well as THz amplitudes vs irradiation dose/proton fluence.</p>
FIG. 5 in Update and observations on the extraction of ostracods (Crustacea) from the Permian hard carbonate rocks of Iran
FIG. 5. — Ostracods from the Khachik beds of Ali-Bashi section, NW Iran, extracted by CH2O2 technique (A1-J2) and by CH3COOH technique (K1-K3): A1- A6, Bairdia deducta deducta (Zalányi, 1974); A1, right lateral view, sample A. 197, MNHN.F.F72157; A2-A4, right lateral view, sample A. 210, MNHN.F.F72158- F72160; A5, right lateral view, sample A. 189, MNHN.F.F72161; A6, right lateral view, sample A. 207, MNHN.F.F72162; B1-B4, Bairdia hungarica Zalányi, 1974; B1, left lateral view, sample A. 189, MNHN.F.F72163; B2, right lateral view, sample A. 189, MNHN.F.F72164; B3, left lateral view, sample A.170, MNHN.F.F72165; B4, right lateral view, sample A. 176, MNHN.F.F72166; C1-C4, Bairdia sp.; C1, left lateral view, sample A. 189, MNHN.F.F72167; C2, right lateral view, sample A. 189, MNHN.F.F72168; C3, left lateral view, sample A.170, MNHN.F.F72169; C4, right lateral view, sample A. 176, MNHN.F.F72170; D1-D6, Fabalicypris parva Wang, 1978; D1, right lateral view, sample A. 194, MNHN.F.F72171; D2, right lateral view, sample A. 151, MNHN.F.F72172; D3, right lateral view, sample A. 158, MNHN.F.F72173; D4, right lateral view, sample A. 192, MNHN.F.F72174; D5, D6, right lateral view, sample A. 210, MNHN.F.F72175, F72176; E, Fabalicypris sp. 1., right lateral view, sample A. 207, MNHN.F.F72177; F, Fabalicypris sp. 2., right lateral view, sample A. 210, MNHN.F.F72178; G1-G3, Hollinella (Hollinella) herrickana (Girty, 1909); G1, left lateral view, sample A. 15, MNHN.F.F72179; G2, left lateral view, sample A. 238, MNHN.F.F72180; G3, right lateral view, sample A. 238, MNHN.F.F72181; H, Hollinella sp., left lateral view, sample A. 188, MNHN.F.F72182; I, Sargentina transita (Kozur, 1985), left lateral view, sample A. 176, MNHN.F.F72183; J1, J2, Silenites sp.; J1, right lateral view, sample A. 238, MNHN.F.F72184; J2, ventral view, sample A. 238, MNHN.F.F72185; K1-K3, Ostracoda indet. Specimens are stored in the MNHN (Muséum national d'Histoire naturelle) collections (Paris, France). Scale bar: 100 µm.
Dataset for the paper "Thermal axion production at hard and soft momenta"
<p>This record contains data used in the paper "Thermal axion production at hard and soft momenta" (<a title="Thermal axion production at hard and soft momenta" href="https://arxiv.org/abs/2404.06113" target="_blank" rel="noopener">2404.06113</a>). Please refer to this paper for details on the methods used and their numerical implementations.</p> <p>We used the values of the strong coupling constant and heavy quark thermal masses from <a title="A QCD Debye mass in a broad temperature range" href="https://arxiv.org/abs/1911.09123" target="_blank" rel="noopener">1911.09123</a>. We thank Mikko Laine for provinding us with this data.</p> <p>Values for the Standard Model equation of state were taken from the dataset available <a title="Data for the Standard Model equation of state" href="http://www.laine.itp.unibe.ch/eos15/" target="_blank" rel="noopener">here</a>, relating to <a title="Standard Model thermodynamics across the electroweak crossover" href="https://arxiv.org/abs/1503.04935" target="_blank" rel="noopener">1503.04935</a>.</p>
Comparing four hard-sphere approximations for the low-temperature WCA melting line
<p>Data presented in "Comparing four hard-sphere approximations for the low-temperature WCA melting line".</p> <p>Abstract of paper:</p> <p>By combining interface-pinning simulations with numerical integration of the Clausius-Clapeyron equation we determine accurately the melting-line coexistence pressure and fluid/crystal densities of the Weeks-Chandler-Andersen (WCA) system covering four decades of temperature. The data are used for comparing the melting-line predictions of the Boltzmann, Andersen-Weeks-Chandler, Barker-Henderson, and Stillinger hard-sphere approximations. The Andersen-Weeks-Chandler and the Barker-Henderson theories give the most accurate predictions, and they both work excellently in the zero-temperature limit for which analytical expressions are derived here.</p>
Environmental DNA reveals fine-scale habitat associations for sedentary and resident marine species across a coastal mosaic of soft and hard-bottom habitats
<p>Accurate knowledge on spatiotemporal distributions of marine species and their association with surrounding habitats is crucial to inform adaptive management actions responding to coastal degradation across the globe. Here, we investigate the potential use of environmental DNA (eDNA) to detect species-habitat associations in a patchy coastal area of the Baltic Sea. We directly compare species-specific qPCR analysis of eDNA with baited remote underwater video systems (BRUVS), two non-invasive methods widely used to monitor marine habitats. Four focal species (cod Gadus morhua, flounder Platichthys flesus, plaice Pleuronectes platessa and goldsinny wrasse Ctenolabrus rupestris) were selected based on contrasting habitat associations (reef- vs. sand-associated species), as well as differential levels of mobility and residency, to investigate whether these factors affected the detection of species-habitat associations from eDNA. To this end, a species-specific qPCR assay for goldsinny wrasse is developed and made available herein. In addition, potential correlations between eDNA signals and abundance counts (MaxN) from videos were assessed. Results from Bayesian multi-level models revealed strong evidence for a sand association for sedentary flounder (98% posterior probability) and a reef association for highly resident wrasse (99% posterior probability) using eDNA, in agreement with BRUVS. However, contrary to BRUVS, eDNA sampling did not detect habitat associations for cod or plaice. We found a positive correlation between eDNA detection and MaxN for wrasse (posterior probability 95%), but not for the remaining species and explanatory power of all relationships was generally limited. Our results indicate that eDNA sampling can detect species-habitat associations on a fine spatial scale, yet this ability likely depends on the mobility and residency of the target organism, with associations for sedentary or resident species most likely to be detected. Combined sampling with conventional non-invasive methods is advised to improve detection of habitat associations for mobile and transient species, or for species with low eDNA concentrations. </p>
Text-fig. 3. CT slices on Block 3. Invertebrate moulds (a, c) and remains of their hard skeletons (a, b). Large areas of limestone matrix hold either only a few scattered invertebrates or no fossil at all (b, c). Ring artefacts seen close to the isocentre of the scan (b, c) are a well-known phenomenon caused by the X-ray beams traversing the block at an insufficient radiation dose (as expected in such a large block of dense material), and are not part of any physical structure present therein (Triche et al. 2019). in Hidden Treasures Uncovered: Successful Detection Of Fossils Below The Surface In Large Limestone Blocks Using A Standard Medical X-Ray Ct Scanner
Text-fig. 3. CT slices on Block 3. Invertebrate moulds (a, c) and remains of their hard skeletons (a, b). Large areas of limestone matrix hold either only a few scattered invertebrates or no fossil at all (b, c). Ring artefacts seen close to the isocentre of the scan (b, c) are a well-known phenomenon caused by the X-ray beams traversing the block at an insufficient radiation dose (as expected in such a large block of dense material), and are not part of any physical structure present therein (Triche et al. 2019).
Figure 2 in Infestation of Zebu cattle (Bos indicus Linnaeus) by hard ticks (Acari: Ixodidae) in Maiduguri, Northeastern Nigeria
Figure 2. Numbers of individual ticks of different species collected from different body parts of cattle.
High-resolution hard X-ray tomography and histology of a rat jaw for stem cell-mediated distraction osteogenesis
<p>Histology and microtomography of a rat jaw after distraction. These datasets appear in "<em>Combining high-resolution hard X-ray tomography and histology for stem cell-mediated distraction osteogenesis</em>" Applied Sciences 12(12) (2022) 6268.</p> <p>Micromography (hdr/img files) has pixel size of 10.0228 µm. Histology (.tif file) has pixel size of 0.243094 µm.</p> <p>Slice to volume registration scripts can be found at https://github.com/grodgers1/SliceToVolume.</p>
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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.