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4,480 results for “initiative”
Initial auralization of a distributed propulsion system equipped with 26 ducted low-speed fans
<p>Illustration of engine noise auralization by DLR Institute of Propulsion Technology obtained with the framework PropNoise, VIOLIN, CORAL. Data associated with the following publication: S. Schade, R. Merino-Martinez, P. Ratei, S. Bartels, R. Jaron and A. Moreau, "<a href="https://doi.org/10.2514/6.2024-3273"><em>Initial Study on the Impact of Speed Fluctuations on the Psychoacoustic Characteristics of a Distributed Propulsion System with Ducted Fans</em></a>", 30th AIAA/CEAS Aeroacoustics Conference, Rome, Italy, 04-07 June, 2024.</p> <p>Selected binaural audio files to illustrate the impact of rotational speed fluctuations on the noise characteristics of a distributed propulsion system equipped with 26 ducted, low-speed fans. Please note that the sound pressure amplitudes are normalized to 110dB for the reference turbofan case and to 90dB for the cases with distributed fans.</p> <p>The corresponding time signals and spectrograms are available in the associated conference paper in Figures 4-6.</p>
Dautan et al 2024 " Gut-Initiated Alpha Synuclein Fibrils Drive Parkinson's Disease Phenotypes: Temporal Mapping of non-Motor Symptoms and REM Sleep Behavior Disorder"
<p><span>Parkinson’s disease (PD) is characterized by progressive motor as well as less recognized non-motor symptoms that arise often years before motor manifestation, including sleep and gastrointestinal disturbances. Despite the heavy burden on the patient’s quality of life, these non-motor manifestations are poorly understood. To elucidate the temporal dynamics of the disease, we employed a mice model involving injection of alpha-synuclein (αSyn) pre-formed fibrils (PFF) in the duodenum and antrum as a gut-brain model of Parkinsonism. Using anatomical mapping of αSyn PFF propagation and behavioral and physiological characterizations, we unveil a correlation between post-injection time the temporal dynamics of αSyn propagation and non-motor/motor manifestations of the disease. We highlight the concurrent presence of aggregates in key brain regions, expressing acetylcholine or dopamine and their functions in sleep duration, wakefulness, and particularly REM-associated atonia corresponging to REM behavioral disorder-like symptoms. This study presents a novel and in-depth exploration into the multifaceted nature of PD, unraveling the complex connections between α-synucleinopathies, gut-brain connectivity, and the emergence of non-motor phenotypes.</span></p>
Perceived increases of fish species in the Mediterranean sea: data from a joint LEK initiative.
<p>The dataset was collected with the the Mediterranean LEK initiative. The initiative was initially conceived by the international basin-wide monitoring program <em>CIESM Tropical Signals</em> (funded by the Albert II of Monaco Foundation) and subsequently adopted by the projects BALMAS (Ballast Water Management System for Adriatic Sea Protection, IPA Adriatic Cross-Border Cooperation Programme; <em>FAO-AdriaMed</em> and <em>FAO-MedSudMed</em>. This action was recently supported by the Interreg Med Programme (Grant number Pr MPA-Adapt 1MED15_3.2_M2_337) 85% co-funded by the European Regional Development Fund, which implemented the use of standard LEK protocols for Marine Protected areas and partially supported the writing of this publication.</p> <p>Data refers to self-reported trends of various fish species, which were regarded as increaseing by a sample of fishermen from various Mediterranean countries. Interviews were elicited from fishermen through semi-structured protocols (see Azzurro et al., 2011).</p>
Initial evaluation of the MOVING platform
<p>This resource contains information about the laboratory study carried out as an initial evaluation of the MOVING platform.</p> <p>It contains the information gathered from the questionnaires, and qualitative notes taken during the study for two different use cases. The design of the study and the results of the analysis can be found in the deliverable 1.3 "Initial evaluation, updated requirements and specifications"</p> <p><a href="http://moving-project.eu/deliverables/">http://moving-project.eu/deliverables/</a></p>
MeSDiCon - Medical Spanish Disease and symptom name Collection lexicon (unfiltered initial version)
<p>The MeSDiCon - (Medical Spanish Disease and symptom name Collection lexicon) consists of a list or gazetteer of candidate names of diseases and symptoms mentioned in Spanish clinical texts. Thus MeSDiCon serves as a lexical resource or dictionary for automatic detection of disease/symptom mentions, as well as indexing or classification of medical texts with such concept types.</p> <p>This collection was generated in a five step procedure:</p> <ol> <li>Automatic detection of mentions of disease/symptom terms in biomedical texts in English (including mapping/normalization to MeSH terms or OMIM identifiers).</li> <li>Generation of a unique name list from the detected concept mentions.</li> <li>Basic filtering of non- disease/symptom names or highly ambiguous mentions-abbreviations using basic characteristics like name morphology and length criteria.</li> <li>Automatic translation of name lists form English to Spanish using a medical machine translation system (see Soares, F. and Krallinger, M. BSC Participation in the WMT Translation of Biomedical Abstracts. In <em>Proceedings of the Fourth Conference on Machine Translation, Volume 3: Shared Task Papers, </em>pp. 175-178 2019; https://zenodo.org/record/3346802)</li> <li>Automatic mention lookup of translated names in a collection of 20 million Spanish clinical notes (primary care and pediatrics).</li> </ol> <p>Every term in MeSDiCon is identified by a text span (in Spanish), a target terminology namespace to which it was automatically mapped (MeSH or OMIM) and its corresponding concept identifier in that target terminology. Moreover, we provide for every text span the absolute term frequency, i.e. the number of matches in the corpus of 20 million clinical notes and the number of documents or notes in which it was automatically.</p> <p>Important note: no manual filtering of the MeSDiCon was carried out, implying that some entries might comprise errors, either due to the initial name recognition and concept mapping in English or due to wrong automatic translations into Spanish.</p> <p>The MeSDiCon resource is provided in two formats:</p> <ul> <li>TSV. Data is separated by tabs (\t). Every row of the file has the following fields:</li> </ul> <pre><code>terminology identifier translatedTerm termCount documentCount</code></pre> <ul> <li>JSON. Records are stored as a list of JSON objects. They have the following fields:</li> </ul> <pre><code>{ "terminology":"MESH", "identifier":"D025861", "translatedTerm":"Trastornos de la coagulación", "termFrequency":9, "documentFrequency":9 }</code></pre> <p> </p> <p>Copyright (c) 2019 Secretaría de Estado para el Avance Digital</p>
Collectives, associations, magazines and cultural initiatives_database_1
<p>Collection of web pages of collectives, associations, magazines and cultural initiatives related to the Latin American world in Italy, as well as to gender topics. </p>
Self-organized Art Initiatives in Switzerland
<p>This data set was created as part of the <a href="https://www.hslu.ch/en/lucerne-university-of-applied-sciences-and-arts/research/projects/detail/?pid=1045" rel="nofollow">"Off OffOff Of?"</a> research project at the Lucerne School of Design, Film and Art. It contains information about more than 700 self-organized art initiatives in Switzerland and is the basis for the project website <a href="https://selbstorganisation-in-der-kunst.ch/" rel="nofollow">selbstorganisation-in-der-kunst.ch</a>.</p>
Initial Evaluation Data for SimIMA: A Virtual Simulink Intelligent Modeling Assistant
<p>The following is our initial dataset and evaluation materials corresponding to our development and evaluation of the <a href="https://zenodo.org/record/5123570">Simulink Intelligent Modeling Assistant (SimIMA)</a>. </p> <p>We evaluate SimGestion and SimXample separately. </p> <ul> <li>The directory SimGestion-evaluation contains datasets, evaluation scripts, and log files involved in the evaluation of SimGestion. </li> <li>The directory SimXample-evaluation contains datasets, evaluation scripts, and log files involved in the evaluation of SimXample. </li> </ul> <p>This is v1.0, which is the evaluation associated with the thesis "INTELLIGENT SIMULINK MODELING ASSISTANCE VIA MODEL CLONES AND MACHINE LEARNING" by Bhisma Adhikari @ Miami University , 2021. </p>
Ultra-Slow Discharges that Precede Lightning Initiation dataset
<p><strong>Description of Dataset:</strong></p> <p>These data were used to produce figures for the Geophysical Research Letters publication: <em>Ultra-Slow Discharges that Precede Lightning Initiation</em>. Data are provided in human readable ".csv" and ".dat" formats.</p> <p>Arrays within the in csv files are stored in rows, headings for each row are the array titles. The arrays t, x, y, z are the time, easting, northing, and altitude for arrays after cuts have been performed, while the cutT, cutX, cutY, and cutZ are the corresponding arrays for the t, x, y, z data that have been cut from the fit. The fitT, fitX, fitY, and fitZ are the fit curves for t, x, y, and z. The hist_bins, binwidth, hist, xPDF, and PDF are the bins, bin width, histogram counts, PDF x values, and PDF for the lateral spread from the fit. All data values are in milliseconds and meters.</p> <p>The arrays within the dat files are stored in equally spaced rows. The first row contains the header and array names for the columns. Data for TRI-D plots contains the source index, time in milliseconds, easting in kilometers, northing in kilometers, altitude in kilometers, and intensity in units of galactic background. For the impulsive image figure (FigureS5_data.dat, Supplemental figure S5), the data are the block index, time in milliseconds, easting in kilometers, northing in kilometers, altitude in kilometers, and the <span class="math-tex">\(\chi^2\)</span> for the located source.</p>
The LOTUS Initiative for Open Natural Products Research: frozen dataset union wikidata (with metadata)
<p>Dataset present on Wikidata used in the frame of the LOTUS Initiative: <a href="https://doi.org/10.7554/eLife.70780">https://doi.org/10.7554/eLife.70780</a></p>
The LOTUS Initiative for Open Natural Products Research: waste to recycle
<p>Dataset not uploaded to Wikidata. </p> <p>Generated in the frame of the LOTUS Initiative: <a href="https://doi.org/10.7554/eLife.70780">https://doi.org/10.7554/eLife.70780</a></p> <p>Shared for further curation.</p>
The LOTUS Initiative for Open Natural Products Research: metadata
<p>Metadata of each of the three objects (structures, organisms, references) used in the frame of the LOTUS Initiative: <a href="https://doi.org/10.7554/eLife.70780">https://doi.org/10.7554/eLife.70780</a></p>
Cosmological Initial Conditions (gas density and velocity) for 85Mpc^3
<p>Files representing the initial conditions at z=40 for ENZO-MHD cosmological simulation of a comoving 85Mpc^3 volume, simulated with 1024^3 cells and 1024^3 DM particles. The data are in hdf5 format and they were generated using the mpgrafic code.</p> <p>More details of the simulations and on it cosmological parameter can be found at:</p> <ul> <li>https://ui.adsabs.harvard.edu/abs/2021Galax...9..109V/abstract</li> <li>https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.5350V/abstract</li> <li>https://ui.adsabs.harvard.edu/abs/2017CQGra..34w4001V/abstract</li> </ul>
Cosmological Initial Conditions (dark matter particles) for 85Mpc^3
<p>Files representing the initial conditions of Dark Matter Particles at z=40 for ENZO-MHD cosmological simulation of a comoving 85Mpc^3 volume, simulated with 1024^3 cells and 1024^3 DM particles. The data are in hdf5 format and they were generated using the mpgrafic code.</p> <p>More details of the simulations and on it cosmological parameter can be found at:</p> <ul> <li>https://ui.adsabs.harvard.edu/abs/2021Galax...9..109V/abstract</li> <li>https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.5350V/abstract</li> <li>https://ui.adsabs.harvard.edu/abs/2017CQGra..34w4001V/abstract</li> </ul>
Data and Supplementary Material for "Insights into Lightning K-Leader Initiation and Development from Three Dimensional Broadband Interferometric Observations" by Jensen et al.
<p>Data and Supplementary Material for the manuscript “Insights into Lightning K-Leader Initiation and Development from Three Dimensional Broadband Interferometric Observations” by Jensen et al., submitted to Journal of Geophysical Research: Atmospheres. Further description in included PDF (01file_description.pdf)</p>
Initial Conditions for ATOM-COBALT dynamic N:P model simulations in GBC paper
<p>Adjustment of standard initial conditions file for COBALT simulations to add dynamic phytoplankton P fields. </p>
Icons illustrating aspects of data organization from the Data Literacy Initiative (DaLI) at TH Köln
<p>Icons created as part of the research project Data Literacy Initiative (DaLI) at TH Köln - University of Applied Sciences in Cologne, Germany. They illustrate aspects of best practices for data organization as recommended in Karl W. Broman & Kara H. Woo (2018) Data Organization in Spreadsheets, The American Statistician, 72:1, 2-10, DOI: 10.1080/00031305.2017.1375989.<br> </p> <p>When using any of the images please include the following attribution together with the DOI: This image was created by Jule Marie Schacht and Juliane Piecha for the Data Literacy Initiative (DaLI) at TH Köln and is used under a CC-BY license.</p> <p>The Data Literacy Initiative (DaLI) at TH Köln develops an interdisciplinary, modular program offering data literacy training to students from all fields.</p> <p>More information on the Data Literacy Initiative (DaLI) (in German): https://www.th-koeln.de/dali</p> <p>Illustrations created by: Jule Marie Schacht</p>
Analysis of AaH-II effect in the axon initial of neocortical pyramidal neurons
<p>This dataset contains data in HEK293 neurons expressing either human Na<sub>v</sub>1.2 or human Na<sub>v</sub>1.6 and whole-cell electrophysiological recordings and imaging data from neocortical layer-5 pyramidal neuron in brain slices of the mouse.</p> <p> </p> <p>This dataset is used in the paper:</p> <p>Abbas F, Blömer LA, Millet H, Montnach J, De Waard M, Canepari M. Analysis of the effect of the scorpion toxin AaH-II on action potential generation in the axon initial segment. bioRxiv, 2023. https://www.biorxiv.org/content/10.1101/2023.10.06.561226v1</p>
Supplementary material for "Inverse Modeling of the Initial Stage of the 1991 Pinatubo Volcanic Cloud Accounting for Radiative Feedback of Volcanic ash" paper
<p>Supplementary material for "Inverse Modeling of the Initial Stage of the 1991 Pinatubo<br>Volcanic Cloud Accounting for Radiative Feedback of Volcanic ash" by A. Ukhov, <br>G. Stenchikov, S.Osipov, N. Krotkov, N. Gorkavyi, C. Li, O. Dubovik, and A. Lopatin.</p> <p>Corresponding author: Alexander Ukhov, alexander.ukhov@kaust.edu.sa</p> <p>Contents<br>0. This 'README' file</p> <p>1. Emission profiles for ash and SO2<br> 1.1 In pickle and txt format, when radiative feedback is accounted for:<br> 1.1.1 Files 'ash_2d_emission_profiles_rad_on' [Mt/sec] and 'ash_2d_emission_profiles.txt' [Mt/(m sec)]<br> 1.1.2 Files 'so2_2d_emission_profiles_rad_on' [Mt/sec] and 'so2_2d_emission_profiles.txt' [Mt/(m sec)]</p> <p> 1.2 In pickle format, when radiative feedback is not accounted for:<br> 1.2.1 Files 'ash_2d_emission_profiles_rad_off' [Mt/sec]<br> 1.2.2 Files 'so2_2d_emission_profiles_rad_off' [Mt/sec]</p> <p>2. python script 'draw_supplementary_profiles.py' plots inverted emission profiles <br> (in pickle format) and their time integrated variants.</p> <p>3. WRF-Chem output file 'wrfout_d01_1991-06-16_00:00:00' in netcdf format contains <br> 3-D fields of ash, sulfate, and SO2 concentrations at 0000 UTC on 16 of June. <br> Instructions on how to process WRF-Chem output are available at the Appendix of [1].</p> <p>4. WRF-Chem domain grid description in the file 'wrf_small_grid.txt'. This file can be<br> used for conservative interpolation of 3-D fields to another grid, for example <br> using 'cdo remapcon'.</p> <p>There are two options: <br>1. Use inverted ash and SO2 emission profiles (see p.1 and p.2)<br>2. Use ash, sulfate, and SO2 concentrations from WRF-Chem output file (see p.3 and p.4)<br> as initial conditions for another run.</p> <p><br>References:<br>1. Ukhov, A., Ahmadov, R., Grell, G., and Stenchikov, G.: Improving dust simulations<br> in WRF-Chem v4.1.3 coupled with the GOCART aerosol module, <br> Geosci. Model Dev., 14, 473–493, https://doi.org/10.5194/gmd-14-473-2021, 2021.</p> <p>2. Ukhov et. al, Enhancing Volcanic Eruption Simulations with the WRF-Chem v4.7.x</p>
University of Kansas Field Station: Forest demography, 1980 – 2015. On ten study plots established on three management units all live trees with a dbh > 7.5 cm (3 in) were identified to species, measured, and tagged. Trees were initially measured in 1980/1981 and re-measured in three successive time periods: 1993/95; 2002/03; and 2014/15. Trees will be measured again in 2025/26.
In 1980 researchers at the University of Kansas initiated a long-term experiment monitoring the composition of oak-hickory forest communities at the University’s field station near Lawrence, Kansas. The purpose of the study was to determine how forest species composition varied temporally across distinct habitats that varied in topography, elevation, sun exposure, management history and successional stage. Ten permanent sites were sampled approximately each decade with data collection periods of 1980/81, 1993/95, 2002/03, and 2014/15. Trees with a minimum diameter at breast height (dbh) of ≥ 7.5 cm were tagged, identified to species and measured. Trees will be measured again in 2025/26.
ScienceDex guides
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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.