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43 results for “quantization”

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zenodo32/100

Quantized Andreev conductance in semiconductor nanowires

<p>This repository contains the raw data and processing codes within the paper "Quantized Andreev conductance in semiconductor nanowires".</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

The weights used for Inspur TF2 quantization

<p>The weights used for inpusr tf2 quantization. Unzip the file and you will find 4 CNN &#39;.pkl&#39; weights: googlenet, resnet50, ssd, squeezenet.</p>

openapache2.0Dec 2018View details →
zenodo32/100

Nearly quantized conductance plateau of vortex zero mode in an iron-based superconductor

<p>Dataset for the paper &quot;Nearly quantized conductance plateau of vortex zero mode in an iron-based superconductor&quot;</p>

opencc-by-4.0Oct 2019View details →
zenodo32/100

Quantized electrical, thermal, and spin transports of non-Hermitian clean and dirty two-dimensional topological insulators and superconductors

<p>The module contains the code and data corresponding to the paper arXiv:2408.00763. The README.txt file contains the description as to how to navigate through the files.</p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

Conductance Quantization in PbTe Nanowires

<p>This repository contains the raw data and processing Python scripts corresponding to the paper &quot;Conductance Quantization in PbTe Nanowires&quot;</p>

opencc-by-4.0Apr 2023View details →
zenodo32/100

[Replication Package] Evaluating the Impact of Post-Training Quantization on Large Language Models for Code Generation

<p>This repository contains scripts, datasets, and results of the work <em>"Evaluating the Impact of Post-Training Quantization on Large Language Models for Code Generation"</em></p> <p><strong>Scripts contained in this Zenodo repository can also be visualized at the following link: <a href="https://anonymous.4open.science/r/lowbit-quantization-D070/README.md">https://anonymous.4open.science/r/lowbit-quantization-D070/README.md</a><br></strong></p>

opencc-by-4.0Sep 2024View details →
dryad32/100

Intrinsic quantized anomalous Hall effect in a moiré heterostructure

Open the record for dataset details and reuse information.

publicFeb 2020View details →
zenodo28/100

Supplementary data for 'Non-Majorana states yield nearly quantized conductance in proximatized nanowires' and more

<p>Supplementary data for the &#39;Non-Majorana states yield nearly quantized conductance in proximatized nanowires&#39; paper and &#39; delocalized states in three-terminal devices&#39; paper</p>

opencc-by-4.0Jul 2020View details →
zenodo28/100

Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment

<p>Benchmark for quantization study</p>

opencc-by-4.0Jan 2022View details →
zenodo28/100

Data of Symbolic Quantitative Verification of Quantized Neural Networks

<p>Experimental Results for the Symbolic Quantitative Verification of Quantized Neural Networks Paper</p>

opencc-by-4.0May 2022View details →
zenodo28/100

ATITPhysics 2022W - Black Hole Quantization and Hawking Radiation

<p>These lecture series are given in ATITPhysics 2022&nbsp;Winter&nbsp;School.</p>

opencc-by-4.0Feb 2022View details →
zenodo28/100

MLPerf MobileNet v1 quantized model

<p>PLEASE DO NOT USE THIS MODEL&nbsp; - the version at&nbsp;<a href="https://zenodo.org/record/3353417#.XTzNvOhKguU">https://zenodo.org/record/3353417#.XTzNvOhKguU</a>&nbsp;replaces it.</p>

opencc-by-4.0Mar 2019View details →
zenodo24/100

Observation of Conductance Quantization in InSb Nanowire Networks

<p>This file contains electron transport data and code of the paper &quot;Observation of Conductance Quantization in InSb Nanowire Networks&quot; Nano Lett. 2017, 17, 6511-6515.&nbsp;</p>

opencc-by-4.0Jun 2021View details →
ClinicalTrials.gov24/100

Functional Medical Imaging Quantization in Prostate Cancer

ClinicalTrials.gov study NCT03376360. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
nasa24/100

AIRS/Aqua L3 Monthly Quantization in Physical Units (AIRS+AMSU) 5 degrees x 5 degrees V006 (AIRX3QPM) at GES DISC

The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The quantization products (QP) are distributional summaries derived from the Level-2 standard retrieval products (of swath type) to provide a more comprehensive set of statistical summaries than the traditional means and standard deviation. The QP products combine the Level 2 standard data parameters over grid cells of 5 x 5 deg spatial extent for temporal periods of a month. They preserve the multivariate distributional features of the original data and so provide a compressed data set that more accurately describes the disparate atmospheric states that is in the original Level-2 swath data set. The geophysical parameters are: Air Temperature and Water Vapor profiles (11 levels/layers), Cloud fraction (vertical distribution).

restrictednotspecifiedApr 2025View details →
nasa24/100

AIRS/Aqua L3 Monthly Quantization in Physical Units (AIRS+AMSU+HSB) 5 degrees x 5 degrees V006 (AIRH3QPM) at GES DISC

The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The quantization products (QP) are distributional summaries derived from the Level-2 standard retrieval products (of swath type) to provide a more comprehensive set of statistical summaries than the traditional means and standard deviation. The QP products combine the Level 2 standard data parameters over grid cells of 5 x 5 deg spatial extent for temporal periods of a month. They preserve the multivariate distributional features of the original data and so provide a compressed data set that more accurately describes the disparate atmospheric states that is in the original Level-2 swath data set. The geophysical parameters are: Air Temperature and Water Vapor profiles (11 levels/layers), Cloud fraction (vertical distribution).

restrictednotspecifiedApr 2025View details →
nasa24/100

AIRS/Aqua L3 5-day Quantization in Physical Units (AIRS+AMSU) 5 degrees x 5 degrees V006 (AIRX3QP5) at GES DISC

The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The quantization products (QP) are distributional summaries derived from the Level-2 standard retrieval products (of swath type) to provide a more comprehensive set of statistical summaries than the traditional means and standard deviation. The QP products combine the Level 2 standard data parameters over grid cells of 5 x 5 deg spatial extent for temporal periods of five days from -180.0 to +180.0 deg longitude and from -90.0 to +90.0 deg latitude. For each grid map of 4-byte floating-point mean values there is a corresponding 4-byte floating-point map of standard deviation and a 2-byte integer grid map of counts. The counts map provides the user with the number of points per bin that were included in the mean and can be used to generate custom multi-day maps from the daily gridded products. The thermodynamic parameters are: Skin Temperature (land and sea surface), Air Temperature at the surface, Profiles of Air Temperature and Water Vapor, Tropopause Characteristics, Column Precipitable Water, Cloud Amount/Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Reflectance, Emissivity, Surface Pressure, Cloud Vertical Distribution. The trace gases parameters are: Total Amounts and Vertical Profiles of Carbon Monoxide, Methane, and Ozone. The actual names of the variables in the data files should be inferred from the Processing File Description document.

restrictednotspecifiedApr 2025View details →
nasa24/100

AIRS/Aqua L3 Monthly Quantization in Physical Units (AIRS-only) 5 degrees x 5 degrees V006 (AIRS3QPM) at GES DISC

The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. AIRS/Aqua Level 3 monthly quantization product is in physical units (AIRS Only). The quantization products (QP) are distributional summaries derived from the Level-2 standard retrieval products (of swath type) to provide a more comprehensive set of statistical summaries than the traditional means and standard deviation. The QP products combine the Level 2 standard data parameters over grid cells of 5 x 5 deg spatial extent for temporal periods of a month. They preserve the multivariate distributional features of the original data and so provide a compressed data set that more accurately describes the disparate atmospheric states that is in the original Level-2 swath data set. The geophysical parameters are: Air Temperature and Water Vapor profiles (11 levels/layers), Cloud fraction (vertical distribution).

restrictednotspecifiedApr 2025View details →
nasa24/100

AIRS/Aqua L3 5-day Quantization in Physical Units (AIRS+AMSU+HSB) 5 degrees x 5 degrees V006 (AIRH3QP5) at GES DISC

The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The quantization products (QP) are distributional summaries derived from the Level-2 standard retrieval products (of swath type) to provide a more comprehensive set of statistical summaries than the traditional means and standard deviation. The QP products combine the Level 2 standard data parameters over grid cells of 5 x 5 deg spatial extent for temporal periods of five days. Pentads always start on the 1st, 6th, 11th, 16th, 21st, and 26th days of the month and may contain as few as 3 days of data or as much as 6 days. They preserve the multivariate distributional features of the original data and so provide a compressed data set that more accurately describes the disparate atmospheric states that is in the original Level-2 swath data set. The geophysical parameters are: Air Temperature and Water Vapor profiles (11 levels/layers), Cloud fraction (vertical distribution).

restrictednotspecifiedApr 2025View details →
nasa24/100

AIRS/Aqua L3 5-day Quantization in Physical Units (AIRS-only) 5 degrees x 5 degrees V006 (AIRS3QP5) at GES DISC

The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. AIRS/Aqua Level 3 pentad quantization product is in physical units (AIRS Only). The quantization products (QP) are distributional summaries derived from the Level-2 standard retrieval products (of swath type) to provide a more comprehensive set of statistical summaries than the traditional means and standard deviation. The QP products combine the Level 2 standard data parameters over grid cells of 5 x 5 deg spatial extent for temporal periods of five days. Pentads always start on the 1st, 6th, 11th, 16th, 21st, and 26th days of the month and may contain as few as 3 days of data or as much as 6 days. They preserve the multivariate distributional features of the original data and so provide a compressed data set that more accurately describes the disparate atmospheric states that is in the original Level-2 swath data set. The geophysical parameters are: Air Temperature and Water Vapor profiles (11 levels/layers), Cloud fraction (vertical distribution).

restrictednotspecifiedApr 2025View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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