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3,648 results for “induction”
Wikidata5m - knowledge graph (inductive)
<p>Wikidata5m is a million-scale knowledge graph dataset with aligned corpus.This dataset integrates the <a href="https://www.wikidata.org/">Wikidata</a> knowledge graph and <a href="https://www.wikipedia.org/">Wikipedia</a> pages. Each entity in Wikidata5m is described by a corresponding Wikipedia page, which enables the evaluation of link prediction over unseen entities.</p> <p>This file contains the inductive split of Wikidata5m knowledge graph.</p>
Inductive Freebase and Wikidata for KG Completion
<p>UPD 2.0: Regenerated datasets free of potential test set leakages</p> <p>This repository contains 10 inductive link prediction datasets (graphs only) published in "Inductive Logical Query Answering in Knowledge Graphs" (NeurIPS 2022). 9 datasets (106-550) were created from FB15k-237, the wikikg dataset was created from OGB WikiKG 2 graph. In the datasets, all inference graphs extend training graphs and include new nodes and edges. Dataset numbers indicate a relative size of the inference graph compared to the training graph, e.g., in 175, the number of nodes in the inference graph is 175% compared to the number of nodes in the training graph. The higher the ratio, the more new unseen nodes appear at inference time, the more complex the task is. The Wikikg split has a fixed 133% ratio.</p> <p>Each dataset is a zip archive containing 5 files:</p> <ul> <li>train_graph.txt (pt for wikikg) - original training graph</li> <li>val_inference.txt (pt) - inference graph (validation split), new nodes in validation are disjoint with the test inference graph</li> <li>val_predict.txt (pt) - missing edges in the validation inference graph to be predicted. </li> <li>test_intference.txt (pt) - inference graph (test splits), new nodes in test are disjoint with the validation inference graph</li> <li>test_predict.txt (pt) - missing edges in the test inference graph to be predicted;</li> </ul> <p>This is a light-weight version of the full datasets for inductive query answering published here: https://zenodo.org/record/7231344 </p> <p>Here, we only provide graph data for training inductive link prediction models.</p> <p>Paper pre-print: https://arxiv.org/abs/2210.08008</p> <p>The full source code of training/inference models is available at https://github.com/DeepGraphLearning/InductiveQE</p>
Titanium dioxide nanoparticles assessment in seaweeds by single particle inductively coupled plasma – Mass spectrometry
<p>n this study, a first attempt for isolating and determining (characterising) background levels of <a href="https://www.sciencedirect.com/topics/chemistry/titanium-dioxide-nanoparticle">titanium dioxide nanoparticles</a> (TiO<sub>2</sub> NPs) in seaweed has been developed by using single particle inductively coupled plasma – mass spectrometry (SP-ICP-MS). Seaweeds were processed using an optimised <a href="https://www.sciencedirect.com/topics/chemistry/ultrasound-extraction">ultrasound assisted extraction</a> (UAE) procedure based on <a href="https://www.sciencedirect.com/topics/chemistry/tetramethylammonium-hydroxide">tetramethylammonium hydroxide</a> (TMAH) before dilution and SP-ICP-MS analysis. The effect of the TMAH percentage in the extracting solution, as well as the volume of extracting solution and <a href="https://www.sciencedirect.com/topics/chemistry/sonication">sonication</a> (extraction) time, has been fully assessed. Additional experiments also showed that TiO<sub>2</sub> NPs were quantitatively released from the seaweed matrix in one UAE step since the analysis of residues gave TiO<sub>2</sub> NPs concentrations lower than the limit of quantification (LOQ) of the method. Validation of the method with 50 and 100 nm TiO<sub>2</sub> NPs (10 μg L<sup>−1</sup> as Ti) showed good analytical recovery (115% and 112% for 50 and 100 nm TiO<sub>2</sub> NPs, respectively), and good reproducibility (2% for size and 16% for number of TiO<sub>2</sub> NPs). Experiments regarding TiO<sub>2</sub> NPs stability showed that the extracted NPs are stable since there were not changes on the number of TiO<sub>2</sub> NPs and TiO<sub>2</sub> NPs size distributions when exposing TiO<sub>2</sub> NPs standards to the optimised extractive conditions.</p>
Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning
<p>PPG-BP dataset of forty patients undergoing general anesthesia, as described in the corresponding journal publication at PLOS ONE (10.1371/journal.pone.0279419).</p> <p>When using this data, please cite the corresponding journal publication.</p> <p> </p>
Dataset for Optical Axion induction of antiferromagnetic order
<p>This file contains the data for the main figures of the publication "Optical Axion induction of antiferromagnetic order". </p>
Dataset - In-situ amplification of spin echoes within a kinetic inductance parametric amplifier
<p>Raw data and analysis for arXiv:2211.11333</p> <p> </p>
Data from: Dim light pollution prevents diapause induction in urban and rural moths
<p><span>1. </span><span>Light pollution is increasingly affecting biodiversity and may also disrupt seasonal adaptations. Even dim artificial light, such as skyglow</span><span>—</span><span>which can spread far beyond urban areas</span><span>—</span><span>can interfere with using photoperiod as a seasonal cue.</span></p> <p><span>2. </span><span>Here, we test how light pollution impacts diapause induction</span> <span>and whether urban evolution counteracts it, by using common-garden experiments with a common, widespread geometrid moth (<em>Chiasmia</em> <em>clathrata</em>). We raised offspring from urban and rural populations from North- and Mid-European countries in treatments with and without dim light at night.</span></p> <p><span>3. </span><span>The dim light treatment strongly increased direct development overall</span><span>—</span><span>with no evidence for urban adaptation to it</span><span>—</span><span>but distinctly more so in Mid- than in North-European populations.</span></p> <p><span>4. </span><span>Because diapause induction is critical for surviving winter, these results indicate that dim but widespread light pollution may have detrimental effects on insect populations, especially so at mid-latitudes, and may hence explain part of the ongoing, large-scale insect declines globally.</span></p> <p><span>5. </span><em><span>Synthesis and applications</span></em><span>: Latitudinal variation in sensitivity to light pollution means that its contribution to insect declines</span><span>—</span><span>and its conservation importance</span><span>—</span><span>should likewise vary among regions. In mid-latitude regions, where populations seem more sensitive to light pollution, mitigating light pollution should be a high priority for insect conservation Reducing skyglow from cities should benefit both urban populations—which were just as susceptible as rural populations in our study—and rural populations—because skyglow extends far beyond the geographic boundaries of cities.</span></p>
Transgenerational phenotypic plasticity of diapause induction and related fitness cost in a commercial strain of the parasitoid Aphidius ervi Haliday
<p>Dataset.</p> <p>Diapause is an adaptation that insects have evolved to synchronize their life cycle with that of seasonal climatic changes and resources availability. However, cues for its induction are not always clear and, in some cases, a maternal effect may be involved. At the population level, just a part of the individuals may exhibit diapause with important consequences in terms of winter survival. Moreover, clear indicators of diapause state are difficult to identify. Diapause induction was thus investigated in the aphid parasitoid species Aphidius ervi Haliday (Hymenoptera: Braconidae) developing in the aphid Sitobion avenae (Hemiptera: Aphididae) at four crossed photothermal regimes (16 °C and 8 °C, 16:8 h L:D and 8:16 h L:D), and during 2 successive generations. We analyzed the reliability of changes in mummy color to assess for the diapausing state compared to dissections, and we measured parasitoid morphological and physiological traits. We observed that the proportion of dark brown mummies increased after one generation under low photothermal regime compared to other regimes. No diapause was recorded at 16 °C, 16:8 h L:D, while we observed 16.2% and 67.5% diapause incidence at 8 °C, 8:16 h L:D, at 1st and 2nd generation, respectively. Diapause induction is thus increased by short day-length conditions and low temperatures as well as by maternal effects. All parasitoid life-history traits (weight, size, fat content, water content, egg-load, and longevity) were affected by the photothermal regime and/or the generation. These results raise new questions on the environmental thresholds needed to induce diapause and on survival and adaptation potential of commercially available parasitoid strains in different environments.</p>
Diet-mediated constitutive induction of novel IL4+ ILC2 cells maintains intestinal homeostasis in mice
<p>Group 2 innate lymphoid cells (ILC2s) expressing IL-5 and IL-13 are localized at various mucosal tissues and play critical roles in the induction of type 2 inflammation, response to helminth infection, and tissue repair. Here we reveal a unique ILC2 subset in the mouse intestine that constitutively expresses IL-4 together with GATA3, ST2, KLRG1, IL-17RB, and IL-5. In this subset, IL-4 expression is regulated by mechanisms similar to but distinct from those observed in T cells and is partly affected by IL-25 signaling. Although the absence of the microbiota had marginal effects, feeding mice with a vitamin B1-deficient diet compromised the number of intestinal IL-4+ ILC2s. The decrease in the number of IL-4+ ILC2s caused by the vitamin B1 deficiency was accompanied by a reduction in IL-25-producing tuft cells. Our findings reveal that dietary vitamin B1 plays a critical role in maintaining interaction between tuft cells and IL-4+ ILC2s, a previously uncharacterized immune cell population that may contribute to maintaining intestinal homeostasis.</p>
Cold acclimation threshold induction temperatures of switchgrass ecotypes grown under a long and short photoperiod
<p class="MsoNormal"><span>Plants can cold-acclimate to enhance their freezing tolerance by sensing declining temperature and photoperiod cues. However, the factors influencing genotypic variation in the induction of cold acclimation are poorly understood among perennial grasses. We hypothesized that the more northern upland switchgrass (</span><em><span>Panicum virgatum</span></em><span> L.) ecotype develops a higher degree of freezing tolerance by initiating cold acclimation at higher temperatures as compared with the coastal and southern lowland ecotypes. First, we determined the optimal method for assessing freezing tolerance and the length of exposure to 8/4°C required to induce the maximum level of freezing tolerance in the most northern upland and most southern lowland genotypes. We characterized the maximum freezing tolerance of eight upland, three coastal and five lowland genotypes grown for 21 d at 8/4°C and a 10 or 16 h photoperiod. Next, we identified the temperature required to induce cold acclimation by exposing the 16 genotypes for 7 d at 20 to 6°C constant temperatures under a 10 or 16 h photoperiod. Cold acclimation initiated at temperatures 5 and 7°C higher in upland than coastal and lowland genotypes. Among upland genotypes the shorter photoperiod induced cold acclimation at a 1°C higher temperature. Genotypes originating from a more northern latitude initiate cold acclimation at higher temperatures and develop higher maximum freezing tolerances. An earlier response to declining temperatures may provide the upland ecotype with additional time to prepare for winter and provide an advantage when plants are subjected to the rapid changes in fall temperature associated with injurious frosts.</span></p>
Micrographs of strains with MultiduBE before and after induction
<p>For the verification of MultiduBE-promoted fluorescent and morphology diversification, the crRNA array YKTmf5C-Sp4 was assembled into the mixture of pWLT-duBE-1a and pWLT-duBE-2b and then transformed into strain BSZRG-CmYKT. The results colonies were scraped from the plate and inoculated in a 50-mL sterile tube containing 10 mL LB media with kanamycin for pre-culture for about 10 h. Subsequently, the pre-culture was inoculated in a 14-mL sterile tube containing 2 mL LB-kanamycin media without aTC and a 14-mL sterile tube containing 2 mL LB-kanamycin media with 0.5 μM aTC, respectively. The two group cultures (without induction and with induction) were analyzed by Laser Scanning Confocal Microscopy (LSCM) and flow cytometry.</p>
Squirrel-Cage Induction Motor Fault Diagnosis Dataset
<p>The <strong>Squirrel Cage Induction Motor Fault Diagnosis Dataset</strong> is a multi-sensor data collection gathered to expand research on anomaly detection, fault diagnosis, and predictive maintenance, mainly using non-invasive methods such as thermal observation or vibration measurement. The measurements were gathered using an advanced <em>Wrocław University of Science and Technology</em> laboratory designed to simulate and study motor defects. The collected dataset is licensed under a <em>Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International</em> License.</p> <p>Available data:</p> <ul> <li>thermal images</li> </ul> <p>The example dataset utilization is presented in the GitHub repository: <a href="https://github.com/MatPiech/motor-fault-diagnosis/tree/main">motor-fault-diagnosis</a></p> <p>Related publications:</p> <ul> <li><a href="https://ein.org.pl/Unraveling-Induction-Motor-State-through-Thermal-Imaging-and-Edge-Processing-A-Step,170114,0,2.html">Unraveling Induction Motor State through Thermal Imaging and Edge Processing: A Step towards Explainable Fault Diagnosis</a></li> </ul>
BSSE_QGF_61757 L010-L016 (Single-cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction)
<p>Fastq files from sequencing of sample BSSE_QGF_61757 L010 to L016</p> <p>Publication: https://doi.org/10.15252/msb.20188266</p>
BSSE_QGF_61757 L001-L009 (Single-cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction)
<p>Fastq files from sequencing of sample BSSE_QGF_61757 L001 to L009</p> <p>Publication: https://doi.org/10.15252/msb.20188266</p>
BSSE_QGF_61756 (Single-cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction)
<p>Fastq files from sequencing of sample BSSE_QGF_61756</p> <p>Publication: https://doi.org/10.15252/msb.20188266</p>
BSSE_QGF_61759 (Single-cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction)
<p>Fastq files from sequencing of sample BSSE_QGF_61759</p> <p>Publication: https://doi.org/10.15252/msb.20188266</p>
BSSE_QGF_61758 (Single-cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction)
<p>Fastq files from sequencing of sample BSSE_QGF_61758</p> <p>Publication: https://doi.org/10.15252/msb.20188266</p>
Electromagnetic Induction Measurements near Ny Alesund
<p>Electromagnetic induction is a non-invasive mapping technique used in a variety of applications including geological mapping and civil engineering, agriculture and forestry, environmental monitoring, groundwater protection, mineral exploration and archaeology. Electromagnetic induction is mainly used to measure the (apparent) electrical conductivity of the subsurface, which depends on various soil properties such as clay content, water content and salinity. The nature and strength of the relationships between electrical conductivity and soil properties are site-specific.</p> <p>The instrument used, the EM38-MK2, measures both the quadrature (conductivity) and the inphase (magnetic susceptibility) components at two different depths, all at the same time, without the need for ground contact. The aim of the measurements was to improve the understanding of thaw-driven landscape dynamics in permafrost regions and to assess the vulnerability of permafrost to thaw.</p> <p>The measurements were carried out in August 2023 in the vicinity of the Ny Alesund research station in Svalbard, in particular in the vicinity of the Bayelva long-term observatory site. The data are raw, no processing has been done. A detailed metadata description is available in the pdf format.</p>
Inductively coupled plasma mass spectrometry of ions released from Ti40Zr10Cu36Pd14 bulk metallic glass
<p>Inductively coupled plasma mass spectrometry (ICP-MS) of ions released from Ti40Zr10Cu36Pd14 bulk metallic glass after incubation in artificial saliva for 1 day, 3 days and 7 day to see how much it releases its ion into the medium. </p>
Induction of daytime downward migration in a field-derived Daphnia population by the fish kairomone CPS – a mesocosm approach
<p>The fish-borne bile salt 5α-cyprinol sulfate (CPS) has been identified as a kairomone inducing the predator avoidance behavior "diel vertical migration" (DVM) in <em>Daphnia</em> <em>magna</em> in response to fish. Conclusions about the ecological significance of CPS have been derived from laboratory experiments only. Using a mesocosm approach, we investigate whether the role of CPS as a kairomone can be confirmed in the field. We demonstrate that CPS induces downward migration during daytime in a field-derived <em>Daphnia</em> community consisting of <em>D. longispina </em>and<em> D. cucullata </em>and<em> in D. longispina</em> in particular. In the study lake, <em>D. longispina</em> shows a similar pattern of DVM. Quantification of CPS by HPLC-MS confirms that CPS in situ concentrations in the lake are sufficiently high for induction of daytime downward migration of <em>D. longispina</em> in this oligo-mesotrophic lake. Conclusively, we provide evidence for the significance of CPS as a kairomone in freshwater systems.</p>
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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.