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datasets available to search
ShareScore release 0.9.0
Dataset results
39 results for “integrated circuits”
Lithium tantalate photonic integrated circuits for volume manufacturing
<p>Dataset for the manuscript "Lithium tantalate photonic integrated circuits for volume manufacturing". </p> <p>DOI: 10.1038/s41586-024-07369-1</p> <p>Contains all raw data and code used to produce the Figures and Extended Data Figures in the manuscript. </p>
RNA-seq dataset for Integrative functional genomic analyses implicate specific molecular pathways and circuits in autism
<p>Data to be used along with <a href="https://github.com/neelroop/asd-development-coexpression-2013">code</a> from 2013 paper that was originally on a site hosted at UCLA, but may no longer be accessible.</p>
Nanolaminography dataset: Three-dimensional imaging of integrated circuits with a macro to nanoscale zoom
<p>Here we present a ptychographic X-ray laminography (PyXL) dataset. It is a new approach for nano-imaging that combines a coherent diffractive imaging technique called ptychography with laminography, which is a generalization of tomography. This allows achieving sub-20 nm resolution over large sample volumes. </p> <p>Non-destructive three-dimensional imaging over large volumes with nano-scale resolution is a challenge faced in many fields, perhaps most acutely in mapping the natural neural connectome and artificial silicon-based integrated circuits. For the latter, such inspection is of interest for quality control and security acquiring particular importance due to the delocalized nature of the chain connecting chip design, manufacture and use. A hierarchy of probes are used to image at length scales from that of the entire chip (millimeters) to those of individual features (nanometers) of the underlying transistors, starting with optical microscopy and finishing with transmission electron microscopy on thin slices prepared using a focused ion beam. What has been missing until now is a single technique yielding a three-dimensional image of the entire chip volume with zooming capability to produce high-resolution images of arbitrarily chosen sub-regions, including virtual delayering.</p> <p>The related publication can be accessed via ShareIt <a href="https://mail.ethz.ch/owa/redir.aspx?C=NzB9-v6wS5uDOPXWL0cW_Vu4ys_MIpbvUqKcmezLt5AHOlhZD1DXCA..&URL=https%3a%2f%2frdcu.be%2fbTudW">https://rdcu.be/bTudW</a></p>
Data set for "Bidirectional microwave-optical transduction based on integration of high-overtone bulk acoustic resonators and photonic circuits"
<p>The repository contains raw data, processing scripts, simulation and GDS files for the manuscript "Bidirectional microwave-optical transduction based on integration of high-overtone bulk acoustic resonators and photonic circuits". For detailed usage instructions, please take a look at the README.txt file. </p>
Photonic integrated circuit based continuous-travelling-wave parametric amplifier
<p>Dataset for the manuscript "Photonic integrated circuit based continuous-travelling-wave parametric amplifier".</p> <p>Contains all raw data and code used to produce the Figures and Extended Data Figures in the manuscript. </p> <p> </p> <p> </p> <p> </p>
Placement of Analog Integrated Circuits / Packing - synthetic instances
<p>Synthetically generated instances used in</p> <ul> <li>Automatic Placer for Analog Circuits Using Integer Linear Programming Warm Started by Graph Drawing 10.5220/0011789300003396</li> <li>Matheuristic Local Search for the Placement of Analog Integrated Circuits 10.1007/978-3-031-49662-2_10</li> <li>Automated placement of analog integrated circuits using priority-based constructive heuristic papers 10.1016/j.cor.2024.106643</li> </ul>
Clonally related, Notch-differentiated spinal neurons integrate into distinct circuits EPhys raw data
<p>Shared lineage has diverse effects on patterns of neuronal connectivity. In mammalian cortex, excitatory sister neurons assemble into shared microcircuits, whereas throughout the <em>Drosophila</em> nervous system, Notch-differentiated sister neurons diverge into distinct circuits. Notch-differentiated sister neurons have been observed in vertebrate spinal cord and cerebellum, but whether they integrate into shared or distinct circuits remains unknown. Here we evaluate the connectivity between sister V2a/b neurons in the zebrafish spinal cord. Using an <em>in</em> <em>vivo</em> labeling approach, we identified pairs of sister V2a/b neurons born from individual Vsx1+ progenitors and observed that they have similar axonal trajectories and proximal somata. However, paired whole-cell electrophysiology and optogenetics revealed that sister V2a/b neurons receive input from distinct presynaptic sources, do not communicate with each other, and connect to largely distinct targets. These results resemble the divergent connectivity in <em>Drosophila</em> and represent the first evidence of Notch-differentiated circuit integration in a vertebrate system.</p>
Clonally related, Notch-differentiated spinal neurons integrate into distinct circuits EPhys raw data
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Data underlying the article: "Programmable multifunctional integrated microwave photonic circuit on thin-film lithium niobate"
<p>Experimental data and scripts to plot results for manuscript "Programmable multifunctional integrated microwave photonic circuit on thin-film lithium niobate"</p>
Automated Stitching of Noisy Scanning Electron Microscopy Images for Integrated Circuit Reverse Engineering
<p>A scanning electron microscope (<strong>SEM</strong>) usually creates images in the range of megapixel resolutions, but analyzing an IC layer requires resolutions in the gigapixel range. To create such large images, many individual images must be taken and then fused into one large image, which poses unique challenges: <strong>SEM</strong> images are affected by distortion due to charging effects and often exhibit high levels of noise and low contrast. One way of reducing the entry barrier to IC reverse engineering is to develop algorithms that can provide good results even in the case of suboptimal image quality, as can be produced by older, more readily available <strong>SEMs</strong>.</p> <p>This dataset contains images and additional information that has been cut from the PAINE paper due to length constraints. It also links to the thesis which served as base for the PAINE paper.</p>
Fabrication of chemofluidic integrated circuits by multi-material printing
<p>Supplementary Information</p>
Data for manuscript "Integrated microwave photonic notch filter using a heterogeneously integrated Brillouin and active-silicon photonic circuit"
<p>Experimental data and scripts to plot results for manuscript "Integrated microwave photonic notch filter using a heterogeneously integrated Brillouin and active-silicon photonic circuit"</p>
Biologically plausible information propagation in a complementary metal-oxide semiconductor integrate-and-fire artificial neuron circuit with memristive synapses
<p>This is the repository containing the datasets relative to the publication: <em>L. Benatti, T. Zanotti, D. Gandolfi, J. Mapelli, and F. M. Puglisi, “Biologically plausible information propagation in a complementary metal-oxide semiconductor integrate-and-fire artificial neuron circuit with memristive synapses,” Nano Futures, vol. 7, no. 2, p. 025003, May 2023, doi: <a href="https://doi.org/10.1088/2399-1984/accf53">10.1088/2399-1984/accf53</a>.</em></p> <p>In this folder, you will find MATLAB workspaces containing:</p> <ul> <li><strong>Sni:</strong> Tables with stimuli values (binary and decimal), noise, and surprise, divided by synapse conductance values.</li> <li><strong>MI_vs_G:</strong> Vectors containing simulated values of mutual information (MI), noise, and entropy associated with synapse conductance values, as shown in Figure 5.</li> <li><strong>SpS_vs_rank:</strong> Traces of surprise per spike (SpS) related to synapse conductance values, ordered by stimulus rank. <br> This includes the tracking of stimuli associated with lower/higher SpS as synapse conductance varies, as illustrated in Figure 6b.</li> </ul>
OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis
<p>Logic synthesis is a challenging and widely-researched combinatorial optimization problem during integrated circuit (IC) design. It transforms a high-level description of hardware in a programming language like Verilog into an optimized digital circuit netlist, a network of interconnected Boolean logic gates, that implements the function. Spurred by the success of ML in solving combinatorial and graph problems in other domains, there is growing interest in the design of ML-guided logic synthesis tools. Yet, there are no standard datasets or prototypical learning tasks defined for this problem domain. Here, we describe OpenABC-D,a large-scale, labeled dataset produced by synthesizing open source designs with a leading open-source logic synthesis tool and illustrate its use in developing, evaluating and benchmarking ML-guided logic synthesis. OpenABC-D has intermediate and final outputs in the form of 870,000 And-Inverter-Graphs (AIGs) produced from 1500 synthesis runs plus labels such as the optimized node counts, and de-lay. We define a generic learning problem on this dataset and benchmark existing solutions for it. The codes related to dataset creation and benchmark models are available athttps://github.com/NYU-MLDA/OpenABC.git.</p>
Photonic circuit integrated Ti:Sa laser
<p>Dataset for the publication "Photonic circuit integrated Ti:Sa laser"</p>
Maturation and circuit integration of transplanted human cortical organoids
GEO Series GSE190815. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Astrocyte-encoded positional cues maintain sensorimotor circuit integrity
GEO Series GSE55054. Mus musculus. 12 samples. Type: Expression profiling by array.
Integrative responses to IL-17 and TNF-α in human keratinocytes account for key inflammatory pathogenic circuits in psoriasis
GEO Series GSE24767. Homo sapiens. 22 samples. Type: Expression profiling by array.
A p53-CCF circuit integrates genome integrity with senescence phenotypes [WGS 2]
GEO Series GSE259297. Homo sapiens. 8 samples. Type: Other.
Electrical and synaptic integration of glioma into neural circuits
GEO Series GSE134269. Homo sapiens. 384 samples. Type: Expression profiling by high throughput sequencing.
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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.