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6,467 results for “process”

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zenodo40/100

Processed airborne hyperspectral images and mosaics of a Paranapanema River region in Capivara reservoir, Brazil

<p>This database is a image set of a strongest glint-affected region of inland water Capivara reservoir, Brazil.&nbsp;We carried out a flight survey in September 2016 on the confluence region of the Tibagi and Paranapanema Rivers. We use the hyperspectral camera manufactured by Rikola, model FPI2014, wich&nbsp;collect 25 spectral bands at following&nbsp;intervals and full widths at half maximum (FWHM), both expressed in nanometers (nm):&nbsp;505.37, (9.51), 515.31 (14.05), 528.55 (14.82), 539.87 (14.03), 546.99 (14.31), 554.99 (13.26), 560.22 (12.11), 570.44 (14.31), 579.58 (13.26), 592.57 (16.57), 605.73 (14.98), 620.22 (16.26), 625.92 (15.47), 655.06 (12.55), 665.72 (15.59), 670.03 (15.74), 681.33 (15.89), 695.04 (14.96), 700.46 (15.44), 707.96 (15.32), 715.19 (15.37), 725.37 (14.72), 737.29 (14.98), 749.87 (15.08) and 780.1 (14.72).&nbsp;</p> <p>The external orientation parameters (EOP) are acquired by dual frequency GPS and adjusted with tie points computed by bundle adjustment. We perform individual georeferencing on each individual image.</p> <p>This dataset present processing using&nbsp;nine approaches to mosaicking individual georeferenced images. Three of then are new proposed methods developed by the authors. Details of processing and methodology are described on the oficial paper (currently in review process of journal).</p> <p>The authors thank the Graduate Program in Cartographic Sciences (PPGCC) of the School of Science and Technology (UNESP), campus Presidente Prudente, for allowing the development of this research; the National Council for Scientific and Technological Development (CNPq) and the Coordination for the Improvement of Higher Education Personnel (CAPES) for financial assistance dedicated to the project. The authors extend special thanks to the S&atilde;o Paulo Research Foundation (FAPESP) for financial support for the hyperspectral camera (2013/50426-4).</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2019View details →
zenodo40/100

Sea ice model fields shown in paper titled "E3SMv0-HiLAT: A Modified Climate System Model Targeted for the Study of High Latitude Processes

<p>These files contain the full climatology,&nbsp;averaged over years 234-253 of the E3SMv0-HiLAT model preindustrial simulation, as generated by the CESM diagnostic package. Files are in netcdf format, with fields described within the file (and subsequently compressed).</p>

opencc-by-4.0Jan 2019View details →
zenodo40/100

More atmospheric model fields shown in paper titled "E3SMv0-HiLAT: A Modified Climate System Model Targeted for the Study of High Latitude Processes

<p>These files contain atmospheric climatology,&nbsp;averaged over years 234-253 of the E3SMv0-HiLAT model&nbsp;preindustrial simulation, as generated by the CESM diagnostic package. Files are in netcdf format (subsequently compressed), with fields described within those files.</p>

opencc-by-4.0Feb 2019View details →
zenodo40/100

CATCH-EyoU Processes in Youth's Construction of Active EU Citizenship Cross-national Wave 1 Questionnaires Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia - EXTRACT

<p>The dataset was generated within the research project Constructing AcTive CitizensHip with European Youth: Policies, Practices, Challenges and Solutions (CATCH-EyoU) funded by European Union, Horizon 2020 Programme - Grant Agreement No 649538&nbsp; <a href="http://www.catcheyou.eu/">http://www.catcheyou.eu/</a>.&nbsp;</p> <p>The data set consists of:</p> <ul> <li>1 data file saved in .sav format</li> </ul> <p>&ldquo;CATCH-EyoU Processes in Youth&rsquo;s Construction of Active EU Citizenship Cross-national Wave 1 Questionnaires Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia - EXTRACT.sav&rdquo;</p> <ul> <li>1 README file</li> </ul> <p>The file was generated through IBM SPSS software. Discrete missing values: 88, 99. The .sav file (SPSS) can be processed using &ldquo;R&rdquo; (library &ldquo;foreign&rdquo;): <a href="https://cran.r-project.orgv/">https://cran.r-project.org</a></p> <p>This dataset relates to following paper:&nbsp;</p> <p>Ekaterina Enchikova, Tiago Neves, Sam Mejias, Veronika Kalmus, Elvira Cicognani,&nbsp; Pedro Ferreira (2019) Civic and Political Participation of European Youth: fair measurement in different cultural and social contexts. Frontiers in Education.</p> <p>Data Set Contact Person: Ekaterina Enchikova [UP-CIIE]; mail: enchicova@gmail.com&nbsp;&nbsp;&nbsp;&nbsp;</p> <p>Data Set License: this data set is distributed under a Creative Commons Attribution (CC-BY) <a href="http://creativecommons.org/licenses">http://creativecommons.org/licenses</a></p> <p>&nbsp;</p>

opencc-by-4.0Dec 2016View details →
zenodo40/100

BPMN Diagram for Whatsapp consversation uploading process

<p>BPMN Diagram for Whatsapp consversation uploading process</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2019View details →
zenodo40/100

AbDb processed and pickled for use in deep learning CDR-H3 Structure prediction

<p>This is a pickle file, ready for training by the neural network described in &quot;Improving CDR-H3 modelling in Antibodies&quot; found at the following URL:</p> <p><a href="https://github.com/OniDaito/MRes">https://github.com/OniDaito/MRes</a></p> <p>The data is derived from the AbDb dataset found at:</p> <p><a href="http://www.bioinf.org.uk/abs/abdb/">http://www.bioinf.org.uk/abs/abdb/</a></p>

opencc-by-4.0Feb 2019View details →
zenodo40/100

Processed TCGA pan-cancer data set used in the I-Boost paper (Wong et al. 2019)

<p>This data set contains the clinical and genomics data for 1,420 subjects analyzed in the paper: Wong KY, Fan C, Tanioka M, Parker JS, Nobel AB, Zeng D, Lin DY, Perou CM. I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms. <em>Genome Biology.</em> 2019. It contains data on time to death, cancer type, 4 clinical variables, expression of 12,434 genes, somatic mutation of 130 genes, expression of 305 miRNA, expression of 136 proteins or phospho-proteins, copy number of 216 DNA segments, and 497 gene expression modules. Data on time to death, clinical variables, somatic mutation, copy number variation, mRNA expression, and miRNA expression were derived from the pan-cancer data set at Synapse (syn2468297 at <a href="https://www.synapse.org/#!Synapse:syn2468297">https://www.synapse.org/#!Synapse:syn2468297</a>). The protein expression data were obtained from Broad GDAC Firehose (<a href="https://gdac.broadinstitute.org/runs/stddata__2016_01_28/">https://gdac.broadinstitute.org/runs/stddata__2016_01_28/</a>).</p>

opencc-by-4.0Jan 2019View details →
zenodo40/100

Dataset - Use of full-scale hybrid horizontal tubular photobioreactors to process agricultural runoff

<p>The data set attached consists of three excel files where the data from the article &ldquo;<strong>Use of full-scale hybrid horizontal tubular photobioreactors to process agricultural runoff&rdquo;</strong>, published in Biosystems Engineering (vol. 166, 4<sup>th</sup> January 2018, 138-149.), can be found.</p>

opencc-by-4.0Jan 2018View details →
zenodo40/100

Dataset: Does the Survival Processing Memory Advantage translate to Serial Recall?

<p>Dataset and analyses protocal as reported in our manuscript <em>Does the Survival Processing Memory Advantage translate to Serial Recall?</em> (W&ouml;stenfeld et al., submitted).</p>

opencc-by-4.0Mar 2019View details →
zenodo40/100

The TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation (version 2)

<p>The combined TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation (TRIPEx) was a joint field experiment of the University of Cologne, the University of Bonn, the Karlsruhe Institute of Technology (KIT), and the Research Center J&uuml;lich. TRIPEx took place at the J&uuml;lich Observatory for Cloud Evolution (JOYCE) from 11 November 2015 until 04 January 2016.&nbsp; During this experiment, the X, Ka and W Band ground-based Doppler radars were used vertically pointing to observe the clouds. Here we provide level 2 of the dataset collected during this campaign. Several step processing were applied to minimize the radar offset and attenuation. In addition, we provide the attenuation correction and the quality flags for each processing steps to allow the user to retrieve the data without our correction. The raw and the level 1 of the dataset are available for the users on request from the corresponding author.</p>

opencc-by-4.0Mar 2019View details →
zenodo40/100

Neutrinos from Beta Processes in a Presupernova: Probing the Isotopic Evolution of a Massive Star

<p>We present datasets for neutrino luminosity, differential in neutrino energy,&nbsp;of 15 <span class="math-tex">\(M_{\odot}\)</span>and 30&nbsp;<span class="math-tex">\(M_{\odot}\)</span> presupernova stars&nbsp;at various times during the stellar evolution. &nbsp;We include here the total luminosity from both pair production and beta processes. &nbsp;The beta process neutrino luminosities are also split into contributions from individual isotopes. &nbsp;For more information, please see the attached README.txt file.</p>

opencc-by-4.0Apr 2019View details →
zenodo40/100

Visual Perception of Shape-Transforming Processes: 'Shape Scission'

<p>Dataset relative to the following publication:</p> <p>Schmidt, F., Phillips, F., &amp; Fleming, R. W. (in press). Visual Perception of Shape-Transforming Processes: &lsquo;Shape Scission&rsquo;. <em>Cognition, 189</em>, 167-180. https://doi.org/10.1016/j.cognition.2019.04.006</p> <p>Each experiment folder contains the data relative to one experiment and a text file with comments. The stimuli folder contains image files of the experimental stimuli.</p>

opencc-by-4.0Apr 2019View details →
zenodo40/100

The adoption of Article Processing Charges as a business model by Brazilian Open Access journals

<p>These&nbsp;are&nbsp;the raw data behind the publication:</p> <p>Appel, A.L.; Albagli, S. The adoption of Article Processing Charges as a business model by Brazilian Open Access journals. <em>Transinforma&ccedil;&atilde;o</em>, 31:e180045, 2019. <a href="https://doi.org/10.1590/2318-0889201931e180045">https://doi.org/10.1590/2318-0889201931e180045</a></p> <p>Different funding and business model alternatives for Open Access to scientific publication have been discussed and tried, either by Gold open access journals or by the &lsquo;hybrid&rsquo; ones. A growing number of both types of scholarly journals have adopted a publication fee &ndash; more specifically an Article Processing Charge &ndash; as their open access business model, a procedure that has been the subject of controversies. The objective of this study is to characterize Brazilian open access journals that adopt article processing charges. The main contribution of this study is to audit and support decision making of editorial policies and business models for open access that are being proposed by and for Brazilian journals. We defined a sample of Brazilian open access journals using article processing charges extracted from the Directory of Open Access Journals database in April 2018 along with their classification in the Scimago Journal Ranking, Journal Citation Reports and Qualis Capes system, considered as an indicator of prestige of academic journals. The study reveals that a small number of Brazilian open access journals are currently applying article processing charges, with practices varying mainly according to fields of study, types of organization and classification according to the Qualis system.</p>

opencc-by-4.0Dec 2018View details →
zenodo40/100

DeepThought DPR: Distributed peer review enhanced with natural language processing and machine learning - Dataset I

<p>This is the anonymized dataset obtained from the DPR Experiment run at ESO in Fall 2018. If this dataset is used both this DOI as well as the main paper need to be cited.&nbsp;</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

Do synaesthesia and mental imagery tap into similar crossmodal processes?

<p>Examples of video stimuli used in<strong> Experiment&nbsp;1</strong> of paper -&nbsp;&nbsp;Do synaesthesia and mental imagery tap into similar crossmodal processes?</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0May 2019View details →
zenodo40/100

Sytlegomydas daltoni Seguy, male genitalia: 65, ventral view; 66, dorsal view;.67, lateral view; a. l: anal lamellae; ae: aedeagus; bst: apical processes of basistylus: ce: cerci; ep: epandrium; hy + bst: fusion of hypandrium with basistyli. in The American Genera of Mydidae (Diptera), with the Description of three new Genera and two new Species

Sytlegomydas daltoni Seguy, male genitalia: 65, ventral view; 66, dorsal view;.67, lateral view; a. l: anal lamellae; ae: aedeagus; bst: apical processes of basistylus: ce: cerci; ep: epandrium; hy + bst: fusion of hypandrium with basistyli.

opencc-by-4.0Dec 1971View details →
zenodo40/100

Process Models obtained from event logs with with different information-preserving abstractions

<p>This dataset contains results of the experiment to analyze information preservation and recovery by different event log abstractions in process mining described in: Sander J.J. Leemans, Dirk Fahland &quot;Information-Preserving Abstractions of Event Data in Process Mining&quot;<br> Knowledge and Information Systems, ISSN: 0219-1377 (Print) 0219-3116 (Online), accepted May 2019</p> <p>The experiment results were obtained with: https://doi.org/10.5281/zenodo.3243981</p>

opencc-by-4.0Jun 2019View details →
zenodo40/100

ViSAPy-generated test data from Lee JH., et al. Advances in Neural Information Processing Systems 30 (NIPS 2017), pp4002--4012

<p>This dataset corresponds to the simulated test data&nbsp;for spike-sorting algorithms in Figure 3 of:</p> <p>Lee, Jin Hyung and Carlson, David E and Shokri Razaghi, Hooshmand and Yao, Weichi and Goetz, Georges A and Hagen, Espen and Batty, Eleanor and Chichilnisky, E.J. and Einevoll, Gaute T. and Paninski, Liam. YASS: Yet Another Spike Sorter. Advances in Neural Information Processing Systems 30 (NIPS 2017). Editors I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett, year 2017, pp4002-4012.<br> publisher: Curran Associates, Inc. URL http://papers.nips.cc/paper/6989-yass-yet-another-spike-sorter.pdf</p>

opencc-by-4.0Jun 2019View details →
zenodo40/100

Calculation of RF sheath properties from surface wave-fields: a post-processing method

<p>The accompanying files contain digital data for figures in the article &quot;Calculation of RF sheath properties from surface wave-fields: a post-processing method&quot; by J.R. Myra and H. Kohno, submitted to the journal Plasma Physics and Controlled Fusion.</p> <p><br> &nbsp;Abstract:</p> <p>In ion cyclotron range of frequency (ICRF) experiments in fusion research devices, radio frequency (RF)&nbsp; sheaths form where plasma, strong RF wave fields and material surfaces coexist. These RF sheaths affect plasma material interactions such as sputtering and localized power deposition, as well as the global RF wave fields themselves. RF sheaths may be modeled by employing a sheath boundary condition (BC) in place of the more customary conducting wall BC; however, there are still many ICRF computer codes that do not implement the sheath BC. In this paper we present a method for post-processing results obtained with the conducting wall BC.&nbsp; The post-processing method produces results that are equivalent to those that would have been obtained with the RF sheath BC, under certain assumptions. The post-processing method is also useful for verification of sheath BC implementations and as a guide to interpretation and understanding of the role of RF sheaths and their interactions with the waves that drive them.</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2019View details →
zenodo40/100

Method to Improve Workflow Net Decomposition for Process Model Repair - experiments

<p>This repository contains data that was used to carry out experiments as well as the results of these experiments.</p> <p>File names are presented in the following format: LM2-[repair method]-[b/f]-[number of experiment], where:<br> -&nbsp;repair method may take values &quot;Greedy&quot; or &quot;Smart&quot;. &quot;Greedy&quot; means that the repair method of the model was greedy algorithm working with maximal decomposition. &quot;Smart&quot; means that the repair method was greedy algorithm as well, with the difference of decomposition method being the developed one.<br> - &quot;b&quot; (broken)&nbsp;means that the model&nbsp;has not undergone repair. &quot;f&quot; (fixed) means that the file presents a repaired model (the one which fits the initial log perfectly).<br> - number of experiment ranging from 1 to 10.</p> <p>This repository also contains the following files:<br> -&nbsp;LM2-CL.xes - the initial LM2 model log;<br> -&nbsp;LM2-CM.pnml - the initial LM2 model;<br> -&nbsp;LM2-Greedy-data.txt - auto-generated measurements of greedy approach performance;<br> -&nbsp;LM2-Smart-data.txt - auto-generated measurements of smart (developed) approach perfomance.</p>

opencc-by-4.0Jul 2019View 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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