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7,195 results for “SET”
Chapter 6 Image set for the book, "Data Science for Nano Image Analysis"
<p>This is the image set used in Chapter 6 of the book, "Data Science for Nano Image Analysis"</p>
Chapter 5 Image set for the book, "Data Science for Nano Image Analysis"
<p>This is the image set used in Chapter 5 of the book, "Data Science for Nano Image Analysis".</p>
Chapter 8 Image set for the book, "Data Science for Nano Image Analysis"
<p>This is the image set used in Chapter 8 of the book, "Data Science for Nano Image Analysis".</p>
Chapter 4 Image set for the book, "Data Science for Nano Image Analysis"
<p>This is the image set used in Chapter 4 of the book, "Data Science for Nano Image Analysis".</p>
Chapter 3 Image set for the book, "Data Science for Nano Image Analysis"
<p>This is the image set used in Chapter 3 of the book, "Data Science for Nano Image Analysis".</p>
Chapter 7 Image set for the book, "Data Science for Nano Image Analysis"
<p>This is the image set used in Chapter 7 of the book, "Data Science for Nano Image Analysis".</p>
Chapter 10 Image set for the book, "Data Science for Nano Image Analysis"
<p><br> This is the image set used in Chapter 10 of the book, "Data Science for Nano Image Analysis".</p>
Software Requirements Data Set
<p>For automatic software requirements specification (SRS) processing and quality evaluation, we have collected textual requirements from four different sources:</p> <ul> <li>a set of requirements from the PUblic REquirements (PURE) dataset (folders prefixed with upper case 'P') [<a href="https://zenodo.org/record/7118517">https://zenodo.org/record/7118517</a>],</li> <li>a set of requirements collected by Hayes et al. (folders prefixed with upper case 'H') [<a href="https://doi.org/10.1109/REW.2019.00052">https://doi.org/10.1109/REW.2019.00052</a>],</li> <li>a set of requirements provided by Dalpiaz (folders prefixed with lower case 'g') [<a href="https://doi.org/10.1016/j.infsof.2018.12.007">https://doi.org/10.1016/j.infsof.2018.12.007</a>],</li> <li>a custom collection of requirements found in the Internet (folders prefixed with upper case 'C').<br> </li> </ul> <p>We preserve the original file of the requirements (TXT, PDF, RTF, DOC or HTML) and add a plain text conversion (files called <code>_Raw.txt</code>) or, for some of them, Markdown form (files called <code>_Raw.md</code>). For some of them, we have extracted part of functional requirements (files called <code>FunctionalRequirements</code>) or functional specification relevant parts (files called<code> AllRelevant)</code>.</p>
Fig. 4. A in The geological setting and palaeoenvironmental and palaeoecological reconstructions of the Upper Permian insect beds at Belmont, New South Wales, Australia
Fig. 4. A block model of the Belmont coal swamps and gravel channel system.
Fig. 2 in The geological setting and palaeoenvironmental and palaeoecological reconstructions of the Upper Permian insect beds at Belmont, New South Wales, Australia
Fig. 2. Section of insect seam from Pincombe's Outcrop (site 206, see Fig. 3).
Fig. 3 in The geological setting and palaeoenvironmental and palaeoecological reconstructions of the Upper Permian insect beds at Belmont, New South Wales, Australia
Fig. 3. Map of Belmont insect beds, showing new and old collection sites.
Data Set: Uncertainty
<p>Dataset of the measurements presented in the futureEnergy D8 submission</p>
Potato Leaf data set
<p>A Collection of potato images. Some with manual annotation of leaf areas in .json format. Some with physically measured leaf area and leaf biomass measurements contained in the csv file.</p> <p>pot_data_withimgnames_fullset.csv contains information about which plants correspond to which images and the physical ground truth data. </p> <p>Full details of data gathering can be seen in paper <a href="https://arxiv.org/abs/2305.09418">here</a>. Please cite the paper if you use our data.</p>
Basis Set Exchange - Formatted Basis Sets
<p>This dataset contains all the basis sets in the Basis Set Exchange in all the available formats</p>
Epistemic Insight Initiative Data set: Findings from a hands-on science intervention to build school students' agency and epistemic insight into the power and limitations of science.
<p>Data set that reports on the Findings from a hands-on science intervention to build school students’ agency and epistemic insight into the power and limitations of science.</p> <p>We report on an empirical study that sought to address three questions:</p> <ul> <li>A study to extend the cognitive science of insight into the field of children’s developing understanding of the power and limitations of science</li> <li>A study to examine the effectiveness of the Epistemic Insight (EI) strategy which is designed to give each child hands-on, minds-on science</li> <li>A study to examine the effectiveness of the EI strategy to sustain science activity in schools during the challenging conditions of the pandemic</li> </ul> <p>1919 children and 63 teachers from 24 schools in England took part in the project. This includes both primary and secondary schools. The data reported here are taken from ten primary schools representing 1045 children aged 8-12 in years 4 to 7.</p> <p> </p>
Data sets from "How amenable is type 2 diabetes treatment for precision diabetology? A meta-regression of glycaemic control data from 174 randomised trials"
<p>The two data sets (in CSV format) contain the complete infomation to reproduce the analyses from the paper "How amenable is type 2 diabetes treatment for precision diabetology? A meta-regression of glycaemic control data from 174 randomised trials" which will be published in Diabetologia.</p> <p>The data set "Data_LogSD.csv" contains the data for the primary analysis of the Log(SD) as given in the main paper, the data set "Data_LogSD_BL_CORR.csv" contains the data for the analysis of the baseline-corrected Log(SD) as given in the electronic supplementary material.</p>
Training data and test data sets for simultaneous inversion of velocity density based on U-T
<p>Here are the training and testing data sets involved in the numerical experiments in the article that has been submitted to the journal “Journal of Geophysical Research: Solid Earth”, named “Joint Model and Data-Driven Simultaneous Inversion of Velocity and Density”: Marmousi model. Each dataset consists of two parts: a training dataset and a testing dataset. Both training and testing data sets contain three parts: seismic data, velocity model and density model.</p>
Data set for the evaluation of the pilot course at HTW Berlin on Green Coding by Prof. Dr. Volker Wohlgemuth
<p>Data set for the evaluation of the pilot course at HTW Berlin on Green Coding by Prof. Dr. Volker Wohlgemuth</p>
Data set related to the article: "The Role of BPIFB4 in Immune System and Cardiovascular Disease: The Lesson from Centenarians."
<p>Abstract:</p> <p>Recent discoveries have shed light on the participation of the immune system in the physio pathology of the car- diovascular system underpinning the importance of keeping the balance of the first to preserve the latter. Aging, along with other risk factors, can challenge such balance triggering the onset of cardiovascular diseases.</p> <p>Among several mediators ensuring the proper cross-talk between the two systems, bactericidal/permeability- increasing fold-containing family B member 4 (BPIFB4) has been shown to have a pivotal role, also by sustaining important signals such as eNOS and PKC-alpha.</p> <p>In addition, the Longevity-associated variant (LAV), which is an haplotype allele in BPIFB4 characterized by 4 missense polymorphisms, enriched in homozygosity in Long Living Individuals (LLIs), has been shown to be efficient, if admin- istered systemically through gene therapy, in improving many aspects of cardiovascular diseases (CVDs). This occurs mainly through a fine immune system remodeling across: 1) a M2 macrophage polarizing effect, 2) a favorable redistri- bution of the circulating monocyte cell subsets and 3) the reduction of T-cell activation. Furthermore, LAV-BPIFB4 treat- ment induced a desirable recovery of the inflammatory balance by mitigating the pro-inflammatory factor levels and enhancing the anti-inflammatory boost through a mechanism that is partially dependent on SDF-1/CXCR4 axis.</p> <p>Importantly, the remarkable effects of LAV-BPIFB4 treatment, which translates in increased BPIFB4 circulating levels, mirror what occurs in long-living individuals (LLIs) in whom the high circulating levels of BPIFB4 are protective from age-related and CVDs and emphasize the reason why LLIs are considered a model of successful aging. Here, we review the mechanisms by which LAV-BPIFB4 exerts its immunomodulatory activity in improving the cardiovascular-immune system dialogue that might strengthen its role as a key mediator in CVDs.</p>
Anndata object of 10x Mouse Brain 5k data set for scDGD training
<p>This data from 10x (5k Adult Mouse Brain Nuclei Isolated with Chromium Nuclei Isolation Kit, Single Cell Gene Expression Dataset by Cell Ranger 7.0.0, 2022) is comprised of 7377 cells from the adult mouse brain with 32285 features. Cell type annotations were approximated using CellTpyist with the `Developing_Mouse_Brain` reference model and majority voting. This resulted in 7 distinct cell types.</p>
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.