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4,107 results for “pointing”
scRNA-seq over multiple time points of heart development in WT C57Bl6/J embryos and in Tbx1 mutant mice (Tbx1 KO)
GEO Series GSE198562. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
ChIP-chip of ZFH1 in Drosophila embryos at E-0-12h time point.
GEO Series GSE15989. Drosophila melanogaster. 1 samples. Type: Genome binding/occupancy profiling by genome tiling array.
pointe de fleche
Pointe de flèche en silex Pléistocène Pologne Source: Objaverse 1.0 / Sketchfab
Supplementary table 1. Mean expression levels of genes in the IGF family and common proliferation markers across five time points before and up to 36 h after ovulation trigger.
<p>These data belong to the manuscript entitled "Dynamics of IGF signalling during the ovulatory peak in women undergoing ovarian stimulation" published in The Journal of Clinical Endocrinology & Metabolism (JCEM) (04 March 2024). This manuscript describes the expression of the insulin-like growth factor (IGF) system during the ovulatory peak in women and suggests that downregulation of IGF signalling is crucial for the sudden cessation in granulosa cell proliferation and onset of differentiation during this critical time course.</p> <p>This table shows data extracted from a microarray analysis of key IGF family members and common proliferation markers in granulosa cells collected from five different time-points (0 h (n =17), 12 h (n =7), 17 h (n =6), 32 h (n =9) and 36 h (n=44) after ovulation trigger), during the ovulatory peak from fifty women receiving fertility treatment at the Fertility Clinic, Department of Gynaecology and Obstetrics, Holbæk Hospital, Denmark. Differential expression with a false discovery rate (FDR)<0.01 combined with a gene expression fold change >2 was considered significant. </p> <p>For further details please read the full manuscript published at JCEM following the DOI. </p>
Quantifying Evenness of Paleoindian Projectile Point Forms within Geographic Regions of Eastern North America [csv files]
<p>csv files for quantifying artifact diversity. Further details at https://github.com/taphocoenose/Artifact_Class_Diversity.</p>
Golden Gate Bridge - Point Cloud
Point cloud obtained from drone video Source: Objaverse 1.0 / Sketchfab
Effect of Cigarette Smoking on Clinical and Molecular End-points in COPD Patients
<p><span>Cigarette smoking is a primary contributor to mortality risks and is associated with various diseases. Among these, COPD represents a significant contributor to global mortality and disability. The objective of this study is to investigate the effect of smoking on a selected battery of variables, with an emphasis on DNA damage. </span><span>Methods: A total of 87 elderly patients diagnosed with COPD, divided into three groups based on their smoking history (current, former, never-smokers), were evaluated using a cross-sectional approach. Clinical features including mortality, and inflammatory/oxidative parameters (Lymphocytes/Monocytes, Neutrophils/Lymphocytes, Platelets/Lymphocytes ratio), SII, MDA, 8-Oxo-dG, and IL6 (ELISA assay), as well as DNA damage (comet assay), were investigated. Virus infection, i.e., influenza A virus subtype H1N1, JC polyomavirus (JCPyV), BK polyomavirus (BKPyV), and Torquetenovirus (TTV), was also tested. </span><span>Results: Current smokers exhibit higher levels of comorbidity (CIRS; p<0.001), Platelets/Lymphocytes ratio (p<0.001), SII (p<0.05), and DNA damage (p<0.001). Former smokers showed also higher values for parameters associated to oxidative damage, and showed a much lower probability of surviving over 5 years compared to never and current-smokers (p<0.0017). </span><span>Conclusions: This study showed a clear interaction between events which are relevant to the oxidative pathway and cigarette smoking. A category of particular interest is represented by former smokers, especially for the lower survival, possibly due to the presence of more health problems. Our findings raise also the attention to other parameters which are significantly affected by smoking, useful to monitor COPD patients starting a program of pulmonary rehabilitation (DNA damage, inflammation parameters, selected viral infections)</span></p>
Training Datasets of Exhaust Temperature Model (ETM) and Three-Way Catalyst Control Lambda Set Point (TWCC) Model for Black-Box Modeling
<p>These are the two training datasets for the Exhaust Temperature Model (ETM) and the Three-Way Catalyst Control Lambda Set Point (TWCC) Model, used in Black-Box Modeling, such as through Neural Networks.</p> <p>The datasets for each black box model are stored in XLSX files. Each dataset file contains ECU channel inputs, related Map parameters, and output. The ECU channel inputs and Map parameters are collected with Sobol methods. The output is generated by Hardware-in-the-Loop (HiL) corresponding to the related ECU channel inputs and Map parameters.</p> <p>The ETM model has four effective Maps, hence there are 32 corresponding shape-based algorithm parameters. Its output is the exhaust temperature. Its ECU channel inputs are as follows:</p> <p>CH_1: Intake valve cut-off condition</p> <p>CH_2: Thrust cut-off condition</p> <p>CH_3: Cylinder equalization control work cycle injection enabled</p> <p>CH_4: Ignition angle efficiency</p> <p>CH_5: Relative level of reduction</p> <p>CH_6: Lean engine lambda for cylinders on exhaust bank with lambda split</p> <p>CH_7: Rich engine lambda for cylinders on exhaust bank with lambda split</p> <p>CH_8: Exhaust gas mass flow</p> <p>CH_9: Engine speed</p> <p>CH_10: Relative air filling</p> <p>CH_11: Material temperature</p> <p>CH_12: Engine temperature</p> <p> </p> <p>The TWCC model has one Map, hence there are 8 corresponding shape-based algorithm parameters. Its output is lambda set point. Its ECU channel inputs are as follows:</p> <p>CH_1: Exhaust mass flow</p> <p>CH_2: Trigger bit for inhibiting the purge</p> <p>CH_3: Trigger bit for a rich mixture</p> <p>CH_4: Trigger bit for empty catalyst</p> <p>CH_5: Trigger bit for catalyst reset</p> <p>CH_6: Oxygen storage level</p> <p>CH_7: Desired air-fuel ratio</p>
Longitudinal humoral analysis in RSV-infected infants points to pre-existing strain-specific G and evolving cross-reactive F antibodies against RSV
<p>dataset for "Longitudinal humoral analysis in RSV-infected infants points to pre-existing strain-specific G and evolving cross-reactive F antibodies against RSV"</p>
Point Cloud Curb Detection Dataset
<p>This dataset contains labeled point cloud data that was captured by a car equipped with a mobile laser scanner.</p> <p>It is part of the ICMLA publication <a href="https://ieeexplore.ieee.org/document/9680221">Large-Scale Curb Extraction Based on 3D Deep Learning and Iterative Refinement Post-Processing</a></p> <p>The dataset is supposed to serve as a benchmark for automated large-scale point cloud curb detection approaches.</p> <p> </p> <p>The dataset is derived from the publicly available KITTI360 dataset published in the paper</p> <p><a href="https://ps.is.tuebingen.mpg.de/publications/xie2016cvpr">Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer</a> by Jun Xie et al.</p> <p><br> LICENSE</p> <p><a href="https://creativecommons.org/licenses/by-nc-sa/3.0/">Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)</a> License</p> <p>If you find this dataset useful, please cite the following publication:</p> <pre><code>@INPROCEEDINGS{9680221, author={Schmitz, Jan-Christoph and Bauer, Adrian and Kummert, Anton}, booktitle={2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)}, title={Large-Scale Curb Extraction Based on 3D Deep Learning and Iterative Refinement Post-Processing}, year={2021}, volume={}, number={}, pages={558-563}, doi={10.1109/ICMLA52953.2021.00093}}</code></pre> <p> </p> <p>Supported by the State of North Rhine-Westphalia, Germany</p>
Dual Time Point PET Imaging in Lymphoma
ClinicalTrials.gov study NCT00297557. IPD Sharing: Not stated. Countries: 0. Publications: 0.
ChIP-chip of UBX1 in Drosophila embryos at E3-8h time point.
GEO Series GSE15992. Drosophila melanogaster. 1 samples. Type: Genome binding/occupancy profiling by genome tiling array.
Murine model of oxygen-induced retinopathy - 3 time points [blood]
GEO Series GSE130347. Mus musculus. 66 samples. Type: Expression profiling by array.
Hela cells treated with or without IFNgamma at different time points
GEO Series GSE11299. Homo sapiens. 12 samples. Type: Expression profiling by array.
Laser fixed-point timing and quantitatively induce venous thrombosis in zebrafish as a general model system to address the essential initial inflammation cytokines
GEO Series GSE309638. Danio rerio. 15 samples. Type: Expression profiling by high throughput sequencing.
ChIP-chip of H3K36me3 in Drosophila embryos at E0-12h time point.
GEO Series GSE15979. Drosophila melanogaster. 1 samples. Type: Genome binding/occupancy profiling by genome tiling array.
The imbalance of excitatory/inhibitory neuron differentiation in neurodevelopmental disorders with an NR2F1 point mutation (The Third Replicate)
GEO Series GSE141468. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
ChIP-chip of chinmo in Drosophila embryos at E-0-12h time point.
GEO Series GSE15959. Drosophila melanogaster. 1 samples. Type: Genome binding/occupancy profiling by genome tiling array.
RNA sequencing of rodent myocardial tissue when subjected to mitral regurgitation (MR) for different time-points, compared to normal Sham tissue.
GEO Series GSE148559. Rattus norvegicus. 24 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic analysis of fungus Penicillium oxalicum 114, laeA deletion strains and histone H2B point mutant strains
GEO Series GSE142715. Penicillium oxalicum. 12 samples. Type: Expression profiling by high throughput sequencing.
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.