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6,467 results for “process”
PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing
<p>We introduce <strong>PDMX</strong>: a <strong>P</strong>ublic <strong>D</strong>omain <strong>M</strong>usic<strong>X</strong>ML dataset for symbolic music processing. Refer to our <a title="PDMX Paper" href="https://arxiv.org/abs/2409.10831" target="_blank" rel="noopener">paper</a> for more information, and our <a title="PDMX GitHub Repository" href="https://github.com/pnlong/PDMX/" target="_blank" rel="noopener">GitHub repository</a> for any code-related details. Please cite both our paper and <a href="https://arxiv.org/abs/2410.02084" target="_blank" rel="noopener">our collaborators' paper</a> if you use this dataset (see our GitHub for more information).</p> <p>Upon further use of the PDMX dataset, we discovered a discrepancy between the public-facing copyright metadata on the <a href="https://musescore.com/">MuseScore website</a> and the internal copyright data of the MuseScore files themselves, which affected 31,221 (12.29% of) songs. We have decided to proceed with the former given its public visibility on Musescore (i.e. this is what the MuseScore website presents its users with). We have noted files with conflicting internal licenses in the <em><strong>license_conflict</strong></em> column of PDMX. We recommend using the <em><strong>no_license_conflict</strong></em> subset of PDMX (which still includes 222,856 songs) moving forward.</p> <p>Additionally, for each song in PDMX, we not only provide the <em>MusicRender</em> and metadata JSON files, but we also try to include the associated compressed MusicXML (MXL), sheet music (PDF), and MIDI (MID) files when available. Due to the corruption of 42 of the original MuseScore files, these songs lack those associated files (since they could not be converted to those formats) and only include the <em>MusicRender</em> and metadata JSON files. The <em><strong>all_valid</strong></em> subset of PDMX describes the songs where all associated files are valid.</p>
Supplementary material to: Russian verbal aspect and the activation of event knowledge: Processing typical and atypical location adverbials in perfective and imperfective sentences
<p>Supplementary material for a self-paced reading experiment:</p> <ol> <li>Material: contains the verbal stimuli (experimental and filler sentences)</li> <li>raw_data.zip: E-Prime output for all 50 participants (tab-separated txt-files)</li> <li>spr_aspect_respinf.txt: Basic information on the participants; tab-separated txt-file</li> <li>spr_aspect_preprocessing_subm2_fin.R: data preprocessing and calculation of correct responses per speaker in R; R script<br>Input: <br>- Files from the "raw_data"-folder<br>- spr_aspect_respinf.txt<br>Output: <br>- spr_aspect_respinf_corr_resp.txt: same as spr_aspect_respinf.txt + number of correct responses per participant; tab-separated txt-file<br>- spr_aspect_all.txt: relevant data from all participants in one file; tab-separated txt-file<br>- spr_aspect_all_without-outlier.txt: same as spr_aspect_all.txt, but outliers set to NA; tab-separated txt-file</li> <li>spr_aspect_figures-stats_subm2_fin.R: plots figures and calculates statistics (descriptive statistics and GLMM) in R, R script<br>Input: <br>- spr_aspect_all_without-outlier.txt<br>Output:<br>- spr_aspect_avg.txt: Mean RT and SD per condition; tab-separated txt-file<br>- Figures</li> </ol>
Files and code for English dictionaries, gold and silver standard corpora for biomedical natural language processing related to SARS-CoV-2 and COVID-19
<p><span lang="EN-GB">Automated information extraction with natural language processing (NLP) tools is required to gain systematic insights from the large number of COVID-19 publications, reports and social media posts, which far exceed human processing capabilities. </span></p> <p><span lang="EN-GB">Here we present an NLP toolbox comprising COVID-19-related dictionaries and annotated corpora in English as well as useful code and workflows for their update and use. The dictionaries contain terms referring to the COVID-19 disease, the SARS-CoV-2 virus, its variants and common mutations, respectively. They were used together with the EasyNER NLP tool to extract and annotate all 764 398 abstracts in the CORD-19 dataset, creating a very large silver standard corpus (named Lund-Annotated-CORD-19 corpus). This was complemented with a small gold standard corpus consisting of PubMed abstracts manually annotated for key entity classes such as disease, virus, symptom, protein/gene, cell type, chemical and species terms. </span></p> <p><span lang="EN-GB">The toolbox can support various text analysis tasks related to COVID-19 such as named entity recognition and co-mention analysis. A preliminary version of the toolbox, which was released early in the pandemic, was</span><span lang="EN-GB"> for example already used to create a COVID-19 knowledge graph and study the evolution and variation of COVID-19-related terminology. In addition, the toolbox can be applied in the development of other NLP tools, for example to train and evaluate large language models.</span></p> <p><span lang="EN-GB">When using the toolbox, please cite this record and the associated article.</span></p> <p> </p> <p> </p>
Eddy covariance data processing workflow example utilizing openeddy and REddyProc R packages
<p>The example dataset is provided within the folder structure required by the workflow files (version 2025-04-27; amended on 2025-07-31) related to the R package openeddy version 0.0.0.9009. Only files needed for successful processing are included. It is shared here as part of a data processing example at <a href="https://github.com/lsigut/EC_workflow">https://github.com/lsigut/EC_workflow</a> to overcome the file size limitation of GitHub.</p>
Snapgene files of the genetic constructions for Morella thermoacetica used in Task 2.2 (Advanced GMO preparation for gas (CO2/CO/H2) fermentation process)
<p>Part of WP2 these snapgene files of the genetic constructions for Morella thermoacetica were used in Task 2.2 (Advanced GMO preparation for gas (CO2/CO/H2) fermentation process). The strains we were able to construct were:</p> <p>1.- M. thermoacetica DSM 521 pK18ACSACassette complete<br>2.- M. thermoacetica DSM 521 pK18ACSACassette AatA<br>3.- M. thermoacetica DSM 2955 pK18ACSACassette PudL-AckA<br>4.- M. thermoacetica DSM 2955 pK18ACSACassette AatA</p> <p>To construct these strains CSIC used a modular synthetic construction carrying the regions up and down of the acsA gene to delete it. Within these regions, a gene cluster composed by the GmR, pduL, ackA and aatA genes, all of them controlled by the strong constitutional promoter of the glyceraldehyde 3-phosphate dehydrogenase gene from Moorella were inserted. The modular design of our recombinant cassette allows us to construct different cassettes with different gene combinations. In all cases, the acsA gene will be deleted and the acetate cannot be transformed back into acetyl-CoA:</p> <p>Cassette 1.- ACSA-GmR-pduL-ackA-aatA-ACSA: this is a complete cassette which carries the genes encoding the phosphotransacetylase, the acetate kinase and the acetate exporter. This strain should accumulate a higher concentration of acetate inside the cell that should be exported to the medium.</p> <p>Cassette 2.- ACSA-GmR-pduL-ackA-ACSA: this cassette lacks the transporter, so this strain should accumulate a higher concentration inside the cell. Then, the only way to prevent acetate toxicity is by increasing its own mechanisms to export this compound or by growing slower in order to manage acetate accumulation.</p> <p>Cassette 3.- ACSA-GmR-aatA-ACSA: this cassette only carries the acetate exporter, so virtually all the acetate produced inside the cell should be exported. This is another strategy to increase the metabolic flux inside the cell towards acetate without overexpressing any other gene of the acetate pathway, and at the same time avoiding toxicity problems.</p> <p>Cassette 4.- ACSA-GmR-ACSA: this cassette would generate an insertion mutant in which acsA is only replaced by the GmR encoding gene. This mutant should also generate a higher amount of acetate since it cannot be transformed back to acetyl-CoA.</p>
Processed ERA5, IMERG and TRMM PR/GPM DPR precipitation data for Nicolas & Boos - "Understanding the spatiotemporal variability of tropical orographic rainfall using convective plume buoyancy."
<p>The dataset contains processed data from large datasets that are freely available online. <br>All data cover the period 01/2001 - 12/2020. The file names describe the months & region that each file contains. Variable codes for ERA5 data (all files starting in e5.) are:</p><p> - 228_246_100u : 100m u-wind<br> - 228_247_100v : 100m v-wind<br> - qL : 900-600hPa averaged specific humidity<br> - thetaeb : surface - 900hPa averaged equivalent potential temperature<br> - thetaeL : 900-600hPa averaged equivalent potential temperature<br> - thetaeLstar : 900-600hPa averaged saturation equivalent potential temperature<br> - tL : 900-600hPa averaged temperature<br> - uBL : surface - 900hPa averaged u wind<br> - vBL : surface - 900hPa averaged v wind<br> - 128_034_sstk : sea surface temperature<br> - 162_071_viwve : eastward component of vertically integrated water vapor transport<br> - 162_072_viwvn : northward component of vertically integrated water vapor transport</p><p> </p>
Different spectral sensitivities of ON- and OFF-motion pathways enhance the detection of approaching color objects in Drosophila - Processed Data
<p>Processed data and code for plotting figures for the paper:</p><p>"Different spectral sensitivities of ON- and OFF-motion pathways enhance the detection of approaching color objects in Drosophila", by Kit D. Longden, Edward M. Rogers, Aljoscha Nern, Heather Dionne, Michael B. Reiser.</p><p>Data (compressed results folder) and plotting code (compressed src folder) are MATLAB files (see READ_ME for version information and toolboxes). The Source Data excel file also contains the data plotted in the paper figures.</p>
Flexible planar supercapacitors by straightforward filtration and laser processing steps
<p>Dataset for publication (journal article):</p><p>Flexible planar supercapacitors by straightforward filtration and laser processing steps</p><p>by Olli Pitkänen, Toprak Eraslan, Dániel Sebők, Imre Szenti, Ákos Kukovecz, Robert Vajtai and Krisztian Kordas</p><p>Published 22 September 2020 • © 2020 The Author(s). Published by IOP Publishing Ltd </p><p>Nanotechnology, Volume 31, Number 49 </p><p>Citation: Olli Pitkänen et al 2020 Nanotechnology 31 495403</p><p>DOI: 10.1088/1361-6528/abb336</p>
Dataset for project Lipobodies, related to the development of a new multicomponent process based on the combination of the isonitrile-tetrazine (4+1) cycloaddition and the Ugi four-component reaction
<p>This dataset contains primary (including raw data) that supports the results of the design and development of a new multicomponent process based on the combination of the isonitrile-tetrazine (4+1) cycloaddition and the Ugi four-component reaction</p>
Dataset of processed Sentinel-2 images for chlorophyll-a estimation in high-altitude lakes in the Sierra Nevada, Spain
<p>This dataset contains Sentinel 2 satellite images clipped to 5 high-altitude lakes in the Sierra Nevada Mountain Range, Spain. The images were processed with the following atmospheric correction algorithms:</p><ul><li><a href="https://c2rcc.org/">C2RCC</a> (<a href="https://ui.adsabs.harvard.edu/abs/2016ESASP.740E..54B/abstract">Brockmann et al. 2016</a>)</li><li><a href="https://github.com/MarcYin/SIAC">SIAC</a> (<a href=" https://doi.org/10.5194/gmd-15-7933-2022">Yin et al. 2022)</a></li><li><a href="https://github.com/acolite/acolite/releases/tag/20221114.0">ACOLITE</a> (<a href="https://doi.org/10.1016/j.rse.2018.07.015">Vanhellemont & Ruddick, 2018</a>)</li><li><a href="https://grass.osgeo.org/grass83/manuals/i.atcorr.html">6SV</a> (<a href="https://doi.org/10.1109/36.581987">Vermote et al. 2006</a>)</li></ul><p><strong>Included Lakes and and their IDs:</strong></p><ul><li>Laguna de la Caldera (ID = P-2)</li><li>Laguna-embalse de las Yeguas (ID = D-6)</li><li>Laguna de Río Seco (ID = P-8)</li><li>Laguna Larga (ID = G-7)</li><li>Laguna de la Mosca (ID = G-11)</li></ul>
GPT Capabilites for Extracting Tasks From Textual Process Descriptions
<p>This dataset provides multiple tables which evaluate the capabilities of GPT 1, GPT 2, GPT 3, GPT 3.5, and GPT 4 regarding the extraction of tasks from <a href="https://doi.org/10.5281/zenodo.7783492">https://doi.org/10.5281/zenodo.7783492</a> and PET datasets in model_completeness.zip, model_correctness.xslx and control_evaluation.xlsx.</p><p>The performance of the LLMs is measured by calculating a range of similarity metrics:</p><ul><li>Extracted number of tasks from text vs. extracted number of tasks from Model</li><li>Semantic Text Similarity: Contextual and Non-Contextual between extracted sets of tasks</li><li>Semantic Text Similarity: Contextual and Non-Contextual between extracted individual tasks</li><li>Similarities and Prevalence for length restricted extracted labels</li><li>Similarities and Prevalence for augmented texts (each text has been paraphrased by 9 different paraphrasing methods)</li><li>Recall and Precision for the above mentioned datasets</li><li>Jaccard Index for the above mentioned datasets</li></ul><p>This dataset also includes all data collected from a survey (survey_data.ods), which lets users (currently n=40) evaluate how good LLM created models are: <a href="https://forms.office.com/e/Y55jyNuPi2?origin=lprLink">https://forms.office.com/e/Y55jyNuPi2?origin=lprLink</a></p>
All-Optical Data Processing with Photon-Avalanching Nanocrystalline Photonic Synapse
<h2>Abstract</h2><p>Data processing and storage in electronic devices are typically performed as a sequence of elementary binary operations. Alternative approaches, such as neuromorphic or reservoir computing, are rapidly gaining interest where data processing is relatively slow, but can be performed in a more comprehensive way or massively in parallel, like in neuronal circuits. Here, time-domain all-optical information processing capabilities of photon-avalanching (PA) nanoparticles at room temperature are discovered. Demonstrated functionality resembles properties found in neuronal synapses, such as: paired-pulse facilitation and short-term internal memory, in situ plasticity, multiple inputs processing, and all-or-nothing threshold response. The PA-memory-like behavior shows capability of machine-learning-algorithm-free feature extraction and further recognition of 2D patterns with simple 2 input artificial neural network. Additionally, high nonlinearity of luminescence intensity in response to photoexcitation mimics and enhances spike-timing-dependent plasticity that is coherent in nature with the way a sound source is localized in animal neuronal circuits. Not only are yet unexplored fundamental properties of photon-avalanche luminescence kinetics studied, but this approach, combined with recent achievements in photonics, light confinement and guiding, promises all-optical data processing, control, adaptive responsivity, and storage on photonic chips.</p>
Fig.ç24.A mblyops sp. 3, male (NSMT-Cr 21369). A, anterior part of body (dorsal); B, eyeplate (right, dorsal); C, antennal scale (le, ventral); D, pair of genital organs; E, sternal process and proximal parts of genital organs; F, rst pleopod (le); G, proximal part of uropodal endopod (le, ventral). in The Genus Amblyops (Crustacea: Mysida: Mysidae: Erythropinae) from East Asia and Australia, with Descriptions of Ten New Species
Fig.ç24.A mblyops sp. 3, male (NSMT-Cr 21369). A, anterior part of body (dorsal); B, eyeplate (right, dorsal); C, antennal scale (le, ventral); D, pair of genital organs; E, sternal process and proximal parts of genital organs; F, rst pleopod (le); G, proximal part of uropodal endopod (le, ventral).
Fig.ç15.A mblyops sagamiensis sp. nov., A–E, holotype, female (NSMT-Cr 21361); F, allotype, male (NSMT-Cr 21362). A, second thoracopod (le); B, third thoracopod (le); C, distal part of third thoracopodal endopod (le); D, sixth thoracopod (le); E, eighth thoracopodal endopod with oostegite (le); F, pair of genital organs and sternal process. in The Genus Amblyops (Crustacea: Mysida: Mysidae: Erythropinae) from East Asia and Australia, with Descriptions of Ten New Species
Fig.ç15.A mblyops sagamiensis sp. nov., A–E, holotype, female (NSMT-Cr 21361); F, allotype, male (NSMT-Cr 21362). A, second thoracopod (le); B, third thoracopod (le); C, distal part of third thoracopodal endopod (le); D, sixth thoracopod (le); E, eighth thoracopodal endopod with oostegite (le); F, pair of genital organs and sternal process.
Fig.ç13.A mblyops paci cus sp. nov., holotype, male (NSMT-Cr 21355). A, rst thoracopodal endopod (le); B, second thoracopod (right); C, third thoracopod (right); D, eighth thoracopodal exopod (right); E, pair of genital organs and sternal process; F, endopod of fourth pleopod (right); G, distal part of endopod of fourth pleopod (right); H, exopod of h pleopod (right), I, uropod and telson (dorsal); J, posterior part of telson (dorsal). in The Genus Amblyops (Crustacea: Mysida: Mysidae: Erythropinae) from East Asia and Australia, with Descriptions of Ten New Species
Fig.ç13.A mblyops paci cus sp. nov., holotype, male (NSMT-Cr 21355). A, rst thoracopodal endopod (le); B, second thoracopod (right); C, third thoracopod (right); D, eighth thoracopodal exopod (right); E, pair of genital organs and sternal process; F, endopod of fourth pleopod (right); G, distal part of endopod of fourth pleopod (right); H, exopod of h pleopod (right), I, uropod and telson (dorsal); J, posterior part of telson (dorsal).
Fig.ç5.A mblyops izuensis sp. nov., holotype, male (NSMT-Cr 21348). A, eyeplate (le); B, antennular peduncle (le, dorsal); C, antenna (le, dorsal); D, antennal peduncle (le, dorsal); E, mandible and mandibular palp (le); F, maxillule (le); G, maxilla (le); H, rst thoracopod (le); I, second thoracopodal endopod (right); J, K, genital organ and sternal process. in The Genus Amblyops (Crustacea: Mysida: Mysidae: Erythropinae) from East Asia and Australia, with Descriptions of Ten New Species
Fig.ç5.A mblyops izuensis sp. nov., holotype, male (NSMT-Cr 21348). A, eyeplate (le); B, antennular peduncle (le, dorsal); C, antenna (le, dorsal); D, antennal peduncle (le, dorsal); E, mandible and mandibular palp (le); F, maxillule (le); G, maxilla (le); H, rst thoracopod (le); I, second thoracopodal endopod (right); J, K, genital organ and sternal process.
Fig.ç2.A, Caligus latigenitalis Shiino, 1954, male (KMNH IvR 500, 510), habitus, dorsal view; B–F. Caligus longiramus sp. nov., holotype, female (KMNH IvR 500, 511): B, habitus, dorsal view; C, caudal rami, dorsal view; D, antennule, ventral view; E, antenna, postantennal process, and maxillule, ventral view; F, mandible. Scale bars: 1 mm (A, B); 0.1 mm (C–F). in Occurrence of Caligid Copepods (Crustacea) in Plankton Samples Collected from Japan and Ŋailand, with the Description of a New Species
Fig.ç2.A, Caligus latigenitalis Shiino, 1954, male (KMNH IvR 500, 510), habitus, dorsal view; B–F. Caligus longiramus sp. nov., holotype, female (KMNH IvR 500, 511): B, habitus, dorsal view; C, caudal rami, dorsal view; D, antennule, ventral view; E, antenna, postantennal process, and maxillule, ventral view; F, mandible. Scale bars: 1 mm (A, B); 0.1 mm (C–F).
Dataset for the manuscript entitled "Can vermicomposting be used to process hyperaccumulator biomass in nickel agromining?"
<p>Data generated during an experiment of decomposition of biomass of the nickel hyperaccumulator <i>Bornmuellera emarginata </i>by the earthworm <i>Eisenia andrei</i> and associated microoganisms.</p><p>Five files are included:</p><p>"<strong>readme.txt</strong>" is a file where we explain the meaning of each column (and in which units is expressed) in each of the other four files.</p><p>"<strong>biomass.csv</strong>" is a table with biomass of different fractions and the number of <i>Eisenia andrei</i> individuals in each experimental unit.</p><p><strong>"FTIR.csv" </strong>is a file with the raw spectral data we obtained from the litter by Fourier Transform Infrared spectroscopy combined with Attenuated Total Reflectance (FTIR-ATR). First column indicate the wavenumber (cm-1) and the other columns indicate the absorbance values of each biomass sample for each wavenumber.</p><p><strong>"composition.csv"</strong> is a file with the pH, electrical conductivity, basal respiration and concentrations of different chemical elements measured in different fractions of each experimental unit</p><p><strong>"nickel.csv"</strong> contains the pseudototal and DTPA-extractable concentrations of Ni in different compartments of each experimental unit, as well as the total amount of this element (mg of Ni) in each compartment of each experimental unit.</p>
Insight into the impact of viruses on biogeochemical processes in agricultural soils
Open the record for dataset details and reuse information.
Data for: New approach for processing recycled carbon staple fiber yarns to unidirectional reinforced recycled carbon staple fiber tape
<p>This data set was generated at Leibniz-Institut für Verbundwerkstoffe GmbH in the project "Process analysis of the pseudo-plastic deformation behavior of unidirectional reinforced staple fiber organo sheets" is funded by the German Research Foundation (DFG) – funding reference 471480678. The goal was to develop a novel process approach for the further processing of staple fiber yarns made from long recycled carbon fibers (rCF) and polyamide 6 (PA6) to highly aligned staple fiber tapes. For this purpose, the input material as well as the manufactured tapes were characterized and examined in thermal analyses. In addition, the influence of the process parameters in the tape manufacturing process on the width and thickness of the tapes and the mechanical properties were investigated. The flexural and tensile properties were then compared with a laminate wound from the staple fiber yarns. The data set is divided in the results of the TGA, DSC, laser profile scans, tensile tests and flexural tests.</p>
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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.
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.