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3,172 results for “public”

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zenodo32/100

Data and code for the publication 'Fully Non-Linear Neuromorphic Computing with Linear Wave Scattering'

<p>This repository contains the source code for the paper <a href="https://arxiv.org/abs/2308.16181" rel="nofollow">https://arxiv.org/abs/2308.16181</a> on nonlinear neuromorphic computing via linear wave scattering as well as the source data for the figures in the paper.</p> <p>The idea behind this work is to send optical waves through a linear scattering system like an array of waveguides and optical resonators. These optical resonators or other elements may have tuneable parameters. These tuneable parameters now serve two functions in trying to use the system to solve a machine-learning task: Some of the parameters can be used to inject the input (e.g. images to be classified). Other parameters are trainable and will be slowly updated during training. The code given here simulates physical scattering setups, observes the scattering response for many different training samples, and updates the trainable parameters via gradient descent to minimize the deviation from the desired target output for the training samples. Evaluation of the scattering response as well as calculation of the gradients is done using jax, and training updates are implemented via jax or optax.</p> <p>See the two subdirectories for the code used in handwritten-digit recognition (a scaled-down version of MNIST) and for fashion-MNIST (with many more neurons and trainable parameters). This code can be run directly to reproduce the results shown in the figures (although a GPU is advisable). To run the code, you need to install jax and optax (and tensorflow for importing data sets).</p>

openmit-licenseApr 2024View details →
zenodo32/100

Data deposit for those used in the figures of publication, named 'Effect of iron content on the thermal conductivity and thermal diffusivity of orthopyroxene', in G3

<p>Data deposit for those used in the figures of publication, named 'Effect of iron content on the thermal conductivity and thermal diffusivity of orthopyroxene', in G3.</p>

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

Strategic Game Theory Analysis of Digitalization in Raw Materials Manufacturing: A Case Study of China and Implications for Public Policy

Open the record for dataset details and reuse information.

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

Decoding Knowledge Claims: the Evaluation of Scientific Publication Contributions through Semantic Analysis

<p>This data were used to compute the RWMD distance as described in the study submitted for the STI 2024 conference, Berlin.</p>

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

Solid-state NMR data for the publication "Bonding of Polyethylenimine in Covalent Organic Frameworks for CO2 Capture from Air"

<p>This upload contains the solid-state NMR of COF-709 series obtained by using Bruker Avance IV NEO 400 MHz NMR instrument. The instrument used in this work was supported by the National Science Foundation under Grant No. 2018784. Per NSF requirements, the data will be publicly available at the time of publication. This dataset can be opened and processed by using MestreNova NMR or similar softwares.</p>

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

Dataset and Code used in ApJ publication: "A novel approach to understanding the link between supermassive black holes and host galaxies"

<p>All the data of this paper is found under BH_M-sigma_compilation/Data</p> <p>The main data tables are found the at BH_M-sigma_compilation/Data/BHcompilation_updated.csv</p> <p>The SDSS data galSpecInfo-dr8.fits and galSpecLine-dr8.fits can be found at:&nbsp;<a href="https://www.sdss3.org/dr8/spectro/spectro_access.php" rel="nofollow">https://www.sdss3.org/dr8/spectro/spectro_access.php</a></p> <p>The main code for this paper is at BH_M-sigma_compilation/Code/Mixture_Upper_Limits and consists of the 3 files for the Stan model, R code and Python code respectively: model.stan stan_fit.r hurdle_model.ipynb</p> <p>The figures generated for the paper can be found at BH_M-sigma_compilation/Figures</p> <p>A novel approach to understanding the link between supermassive black holes and host galaxies &copy; 2024 by Gabriel Sasseville is licensed under CC BY 4.0. To view a copy of this license, visit&nbsp;<a href="https://creativecommons.org/licenses/by/4.0/" rel="nofollow">https://creativecommons.org/licenses/by/4.0/</a></p>

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

Syntalos Publication Figure Source Data

<p>This dataset contains the sources for all figures in our publication "<em>Syntalos: A software for precise synchronization of simultaneous multi-modal data acquisition and closed-loop interventions</em>".</p> <p>The synchronization performance validation can be replicated using the scripts in thie dataset as well as data from the separate resource "Syntalos Sync Validation Example Datasets" at <a href="https://zenodo.org/records/13862969">zenodo.org/records/13862969</a>.</p> <p>&nbsp;</p>

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

Dataset and code related to the publication "Aligning heat pump operation with market signals: A win-win scenario for the electricity market and its actors?"

<h3>General remarks</h3> <p>This dataset and code was developed and used for the publication</p> <blockquote> <p><em>E. Sperber, C. Schimeczek, U. Frey, K. K. Cao, V. Bertsch: Aligning heat pump operation with market signals: A win-win scenario for the electricity market and its actors? In: Energy Reports, Volume 13, June 2025, pp. 491-513, https://doi.org/10.1016/j.egyr.2024.12.028<br></em></p> </blockquote> <h3>Data description</h3> <p>The dataset "<em>heat_pump_results.zip</em>" includes all relevant results underlying the above publication.&nbsp;</p> <p>The data is organized according to the scenarios considered in the analysis. Therefore, each folder is labelled according to the scenario structure, starting with the building efficiency scenario ("BAU" / "EFF"), followed by the PV scenario ("no-PV" / "with-PV"), the HP operation scenario ("ModFlex_V", "ModFlex_F", "HighFlex_V"), the simulation year (2030 / 2040) and the weather year (2017 / 2019 / 2023).</p> <p>Within each result directory per scenario, the data is further structured according to the results at the market level ("AMIRIS") and at the user level ("GAMS" and "INFLEX"). The "INFLEX" directory contains results for the inflexible reference operation, while the "GAMS" directory contains results for the cost-minimized heat pump operation at the level of building types. The data at the user level is further structured by location. Data is given in hourly resolution.</p> <p>The scenario evaluation indicators presented in the publication, as well as other indicators, are summarized in the "MPI" directory.</p> <p>Abbreviations used:</p> <ul> <li>HP: heat pump</li> <li>SH: space heating</li> <li>DHW: domestic hot water</li> <li>AW: air/water</li> <li>BW: brine/water</li> <li>PV: photovoltaic</li> <li>Ti: indoor air temperature</li> <li>Ttes: temperature of domestic hot water storage tank</li> </ul> <h3>Code description</h3> <p>The code to generate the results is given in "<em>heat_pump_workflow.zip</em>". Please follow the instructions in the README.md that you can find in this archive.</p> <h3>Conctact</h3> <p>Please contact Evelyn Sperber at evelyn.sperber@dlr.de if you have any questions.</p>

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

Public University Portuguese Higher Education Organizations Dataset

<p>This file contains public documents such as statutes, organic regulations and organograms of the Portuguese higher education organizations from the public sector which minister university education. Along with it, there exists and excel file where the information related with the IT units of those organizations was organized.&nbsp;</p>

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

Dataset for publication: "Long term porosity of solid electrolyte interphase on model silicon anodes with liquid battery electrolytes"

<p>This is the dataset used to produce the figures for the publication "Long term porosity of solid electrolyte interphase on model silicon anodes with liquid battery electrolytes"</p>

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

Data on the demographics of public preferences for ten carbon removal and solar geoengineering interventions in 30 countries

<p><span>Data used in the analysis for 'The demographics of public preferences for ten carbon removal and solar geoengineering interventions in 30 countries' in the academic journal&nbsp;<em>Communications Earth and Environment.</em></span></p>

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

Dataset for ASR for EE publication

Open the record for dataset details and reuse information.

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

Raw data to a publication in Functional Ecology

<p>Raw data to a publication in Functional Ecology called&nbsp;<span>Nutrient exchange within common mycorrhizal networks is altered in a multi-species environment </span>created by Veronika Řez&aacute;čov&aacute;, Joanna Weremijewicz and Tereza Michalov&aacute;.</p>

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

Dataset download from Web of science for paper entitled "Management of public revenue in Indonesia according to the principle of Sharia"

Open the record for dataset details and reuse information.

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

Constellation analysis of automated local public transport shuttles in the north western development area of Berlin

<h2><strong><span>Konstellationsanalyse: Autonome &Ouml;PNV-Shuttles im Entwicklungsband Nordwest </span></strong></h2> <p>Das Dokument beinhalten stellt eine deutschsprachige Ergebnisdokumentation einer Konstellationsanalyse aus dem Projekt &bdquo;NOWEL4 &ndash; Berliner NordWestraum Level 4" dar . Die Konstellationsanalyse ist ein Br&uuml;ckenkonzept f&uuml;r inter- und transdisziplin&auml;re Zusammenarbeit, das u.a. in der Nachhaltigkeits- und Technikforschung eingesetzt werden kann. Die Ergebnisse zeigen eine gegenw&auml;rtige Konstellation und eine Zielkonstellation der Einbindung autonomer Shuttles in den &Ouml;PNV im Berliner Entwicklungsband NordWest.&nbsp;</p> <h2>&nbsp;</h2> <p>&nbsp;</p>

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

Dataset underlying publication "Optical-comb-based frequency stability transfer across the spectrum with a multi-channel FPGA

<p>This archive contains datasets underlying plots of the publication "Optical-comb-based frequency stability transfer across the spectrum with a multi-channel FPGA".</p> <p>Datasets contain header, and a minimum script to reproduce figures is provided</p> <p>This work was supported by the European Metrology Program for Innovation and Research (EMPIR), Project 20FUN08 Nextlasers, which<br>received funding from the EMPIR programme cofinanced by the Participating States and from the European Union&rsquo;s Horizon 2020 research and innovation program.&nbsp;</p>

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

Dataset: Chromatographic data for publication Exploration and optimisation of structure-activity relationships of newtriazole-based C-terminal Hsp90 inhibitors towards in vivoanticancer potency

<p>Bio-chromoatographic data caming from publication Exploration and optimisation of structure-activity relationships of new triazole-based C-terminal Hsp90 inhibitors towards in vivo anticancer potency</p>

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

Data for the publication "Predicting the three-dimensional stratigraphy of an ice rise".

<p><span>The input and output data for the simulations presented in "Predicting the three-dimensional stratigraphy of an ice rise" are organised in this repository as follows:</span></p> <p>&nbsp;</p> <p><span>Model Data:</span></p> <p>&nbsp;</p> <p><span>- Remesh: The code necessary for remeshing the domain for a higher resolution in the area encompassing the ice rise. </span></p> <p><span>- Init: Initialisation of the model.</span></p> <p><span>- Glen_n3: The code for running simulations with a Glen's flow law exponent of n=3 </span></p> <p><span>- Glen_n4: The code for running simulations with a Glen's flow law exponent of n=4 </span></p> <p><span>- SensitivitySimulations: The code for running further sensitivity simulations</span></p> <p>&nbsp;</p> <p><span>Figure Data:</span></p> <p>&nbsp;</p> <p><span>- The data used to produce each figure.</span></p> <p>&nbsp;</p> <p><span>Data Pre-Processing:</span></p> <p>&nbsp;</p> <p><span>- The data used in the pre-processing process. </span></p>

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

Dataset for publication "Resolving the Orbital Character of Low-energy Excitations in Mott Insulator with Intermediate Spin-orbit Coupling"

<p>Dataset providing the sourcedata of the main figures in the publication "Resolving the Orbital Character of Low-energy Excitations in Mott Insulator with Intermediate Spin-orbit Coupling"</p>

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

Open data for publication Reconstruction of Ice Surface upon Acetone Adsorption: An in-situ ATR-IR Modulation Excitation Spectroscopy Study

<p>Original data for publication &quot;Reconstruction of Ice Surface upon Acetone Adsorption: An in-situ ATR-IR Modulation Excitation Spectroscopy Study&quot;. Original data used for the Figures.</p>

opencc-by-4.0Oct 2021View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.