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Dataset results
309 results for “inspiration”
VisionRT-based Deep Inspiration Breath-hold (DIBH) Respiratory Motion Management Strategy, A Pilot Study for Thoracic and Abdominal Tumors
ClinicalTrials.gov study NCT04686500. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Inclisiran (Leqvio®) in Patients With Atherosclerotic Vascular Disease and/or Heterozygous Familial Hypercholesterolemia Treated in Spain: the INSPIRE Study
ClinicalTrials.gov study NCT06958315. IPD Sharing: YES. Countries: 1. Publications: 0.
Calypso-based Deep Inspiration Breath Hold (DIBH) Radiation Treatments of Lung Cancer
ClinicalTrials.gov study NCT02111681. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparing Mentalization-based Treatment And A Dialectical Behavior Therapy-inspired Treatment On The Utilization Of Services And The Dropout Rate In A Clinical Adult Population With A Cluster B Person
ClinicalTrials.gov study NCT05014217. IPD Sharing: NO. Countries: 0. Publications: 19.
IdeNtifying High riSk Patients Post Myocardial Infarction With REduced Left Ventricular Function Using External Loop Recorders (INSPIRE-ELR Study)
ClinicalTrials.gov study NCT01995552. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Biophysically inspired model for functionalized nanocarrier adhesion to cell surface: roles of protein expression and mechanical factors
Open the record for dataset details and reuse information.
Data from: A stochastic vision based model inspired by the collective behaviour of zebrafish in heterogeneous environments
Open the record for dataset details and reuse information.
Niche-inspired tubuloid differentiation enables modeling of the distal nephron in health and disease
GEO Series GSE206538. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Multipathogen analysis of IgA and IgG antigen specificity for selected pathogens in milk produced by women from diverse geographical regions: The INSPIRE Study [IgA]
GEO Series GSE163901. Bordetella pertussis; Mycobacterium tuberculosis; Plasmodium falciparum; Homo sapiens; Respiratory syncytial virus; Streptococcus sp. 'group B'; Onchocerca volvulus; Dengue virus; Human immunodeficiency virus; Zika virus; Yellow fever virus; Chikungunya virus; Staphylococcus aureus. 402 samples. Type: Protein profiling by protein array.
A microbial-inspired antibody-drug conjugate for cancer immunotherapy
GEO Series GSE255937. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
In Vivo, Computationally-inspired Approach Identifies Amygdalar Transcriptional Heterogeneity and Distinct Social Behavior in ‘Anxious’ Mice
GEO Series GSE132457. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Nature-inspired IL-1 targeted therapy to treat chronic inflammatory diseases
GEO Series GSE305182. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Vascular network-inspired diffusible scaffolds for engineering functional neural organoids
GEO Series GSE276401. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
An mRNA-based broad-spectrum antiviral inspired by ISG15 deficiency protects against viral infections in vitro and in vivo II
GEO Series GSE301683. Mesocricetus auratus. 21 samples. Type: Expression profiling by high throughput sequencing.
A developmentally-inspired hypoxia condition promotes kidney organoids differentiation from human pluripotent stem cells
GEO Series GSE252639. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
A Cytotoxic T Cell Inspired Oncolytic Nanosystem Promotes Lytic Cell Death by Lipid Peroxidation And Elicits Antitumor Immune Responses
GEO Series GSE227675. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
A brain-inspired architecture for cost-efficient object recognition in shallow neural networks
<p>Demo codes for "A brain-inspired architecture for cost-efficient object recognition in shallow neural networks"</p> <p><strong>1. System requirements</strong><br> - MATLAB (2019a or 2019b is recommended.)</p> <p>- Installation of Deep Learning Toolbox</p> <p>- Uploaded codes were tested using MATLAB 2019a and 2019b.</p> <p>- No non-standard hardware is required to run the codes.</p> <p><br> <strong>2. Installation guide</strong><br> - Download "LRC_code.zip" and unzip the file.</p> <p>- Download "DATASET_ori.zip","pretrainedNet.zip" and unzip on same file.</p> <p>- Choose the proper subfolder of 'fun_modifed_toolbox' which is matched to your MATLAB version and<br> Move each file to the proper directory<br> (see the comment in line 4 of each file for proper directory e.g. 'dir = C:\Program Files\MATLAB\...')<br> </p> <p><strong>3. Instructions for use</strong><br> - By running "Main.m" and selecting code option and figure option (see line 35 - 41 on the Main.m)<br> code options :<br> i) flg_ShowRes : Show the result figure of demo code using the pretrained network (in pretrainedNet.zip)<br> ii) flg_Demo : Run the demo code using a randomly initialized network<br> figure options : flg1 - Result 1 / flg2 - Result 2 / flg3 - Result 3 </p> <p> </p> <p><strong>cf. Modified MNIST datasets</strong></p> <p>To separately examine the contribution of high and low-frequency information contained in sample images, we designed three types of modified MNIST datasets. Details are as follows:</p> <p><strong>Type 1</strong><em>: shape</em>. The “<em>shape</em>” dataset was designed by arranging a hand-written digit of 8 x 8 pixels in the center of a 28 x 28 pixels image. The dataset consists of eight categories depending on the number in the center (1 to 8). For this dataset, only local information (shape) of the digits is required for classification.</p> <p><br> <strong>Type 2</strong>: <em>position</em>. The “<em>position</em>” dataset was made by the following procedure. First, two digits of 8 x 8 pixels were randomly chosen. Second, these two digits were allocated in a 28 x 28 image, with one of the following position alignments: horizontal (top, middle, bottom), vertical (left, middle, right), or diagonal (45°, 135°). This dataset also consists of eight categories depending on the position only where the digits are located. Note that the shape of each number is irrelevant for classification.</p> <p><br> <strong>Type 3</strong>: <em>shape-position</em>. The “<em>shape-position</em>” dataset was made by the following procedure. First, a 28 x 28 pixel area was divided into four 14 x 14 areas. Second, two diagonally aligned areas were selected (either 45° or 135°). Third, one of two digits, either “7” or “9”, composed of 8 x 8 pixels was inserted into each selected area. This dataset consists of eight categories depending on both the shape and position of the digits. The reason we chose “7” and “9” among ten numbers is to adjust the difficulty of the task to be similar to that of the previous tasks. Note that this dataset requires both local information (shape) and global information (position) of the digits for classification. </p>
minoan inspired ancient amphora
My 3D model generated with photogrammetry software 3DF Zephyr v4.353 processing 15 images. It's an unauthentic ancient fresco combined with folk pictures from ourdays on an ancient form of an amphorae vase, handmade in Greece. Source: Objaverse 1.0 / Sketchfab
Inspired Roman Temple
I don't really know what to call this. It looks like a greek style temple, but on the inside is inspired by the Roman senate building. * **Formats: BLEND** * Collection link: https://skfb.ly/6ONr8 * Contact: [Twitter](https://twitter.com/mojackalthereal) | [LinkedIn](https://www.linkedin.com/in/marcus-nordahl) Source: Objaverse 1.0 / Sketchfab
Figure 5 from: Grammer JB (2021) Inspiration by estimation – how Terry Erwin affected my entomophilic attitude and most likely that of many other amateur entomologists. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 993-999. https://doi.org/10.3897/zookeys.1044.62666
Figure 5 Undetermined Agra (Erwin's favorite carabids) specimens from Ecuador in my collection.
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.