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217 results for “CI”
Dynamics of activation in the voltage-sensing domain of Ci-VSP
<p>This dataset contains unbiased molecular dynamics trajectories, stripped of water and lipid coordinates due to size constraints. It also contains full initial and final structures for all trajectories.</p><h3>Description of the data and file structure</h3><p>The data are deposited as a .tar.gz file: it can be unpacked by running tar -xzvf traj-data.tar.gz.</p><p>The trajectories are organized into two groups (group1 and group2), each containing a folder with stripped_trajs as .xtc files, as well as the full starting and ending coordinates (with waters and lipids) as intial_structs and final_structs. The models for the down--, down, up, and up+ states are in models.</p><p>The parameter file is civsd-amber-top.parm7 and the topology files with and without<br>the waters/lipids are civsd.psf and civsd-pro.psf</p><h3>Sharing/Access information</h3><p>Derived data (collective variables computed from the raw trajectories) are available as supplementary information to the accompanying publication.</p><h3>Code/Software</h3><p>Analysis of the trajectories can be performed using the MDAnalysis, MDTraj, PyEMMA, scikit-learn, and VMD, softwares along with custom codes written in Python/Jupyter notebooks and tcl. Custom codes are available at <a href="https://github.com/dinner-group/ci-vsd">https://github.com/dinner-group/ci-vsd</a>.</p>
Contextual Factors Research in Continuous Integration (CI) Projects
<p>These files include process documentation for the research on project contextual factors in Continuous Integration (CI). They cover previous research studies and survey details. </p>
Figure S1. Mediation analysis on the effect of insulin resistance on intraocular pressure. Figure S2. Forest plot showing the OR (95% CI) for EIOP of ALD versus NAFLD and the OR (95% CI) for EIOP of drinkers versus non-drinkers. Abbreviations: OR, odds ratio; CI, confidence interval; ALD, alcoholic liver disease; NAFLD, non-alcoholic fatty liver disease.
<p>Figure S1. Mediation analysis on the effect of insulin resistance on intraocular pressure.</p> <p>Figure S2. Forest plot showing the OR (95% CI) for EIOP of ALD versus NAFLD and the OR (95% CI) for EIOP of drinkers versus non-drinkers. Abbreviations: OR, odds ratio; CI, confidence interval; ALD, alcoholic liver disease; NAFLD, non-alcoholic fatty liver disease.</p>
Text-fig. 3. Phylogenetic relationship of Peignecyon felinoides n. gen. et n. sp., within some selected Amphicyonidae, and some extinct caniform carnivorans. Paramiacis exilis is the outgroup. Searches were performed by means of the Branch and Bound and a Bootstrap analysis through 1,000 replicates. One tree is obtained (length 73 steps, consistency index (CI) = 0.6301, retention index (RI) = 0.7000). The numbers below nodes are Bremer indices, and the numbers above nodes are Bootstrap support percentages (only shown ≥ 50). in A New Thaumastocyoninae (Amphicyonidae, Carnivora) From The Early Miocene Of Tuchořice, The Czech Republic
Text-fig. 3. Phylogenetic relationship of Peignecyon felinoides n. gen. et n. sp., within some selected Amphicyonidae, and some extinct caniform carnivorans. Paramiacis exilis is the outgroup. Searches were performed by means of the Branch and Bound and a Bootstrap analysis through 1,000 replicates. One tree is obtained (length 73 steps, consistency index (CI) = 0.6301, retention index (RI) = 0.7000). The numbers below nodes are Bremer indices, and the numbers above nodes are Bootstrap support percentages (only shown ≥ 50).
Text-fig. 10. Phylogenetic relationships of Miocene hyaenodonts (for definitions of character states see Table 2). The data matrix was compiled in MacClade 4.05 and run in PAUP 4.0b10 (Macintosh version). We chose Cimolestes magnus CLEMENS et RUSSELL, 1965, (additional data from Lillegraven 1969), as the outgroup. The unordered and unweighted analysis produced 16 trees. a: Majority-rule consensus. b: Strict consensus. Consistency index (CI): 0.5882; Homoplasy index (HI): 0.4118; Retention index (RI): 0.7742. in New Hyaenodonts (Ferae, Mammalia) From The Early Miocene Of Napak (Uganda), Koru (Kenya) And Grillental (Namibia)
Text-fig. 10. Phylogenetic relationships of Miocene hyaenodonts (for definitions of character states see Table 2). The data matrix was compiled in MacClade 4.05 and run in PAUP 4.0b10 (Macintosh version). We chose Cimolestes magnus CLEMENS et RUSSELL, 1965, (additional data from Lillegraven 1969), as the outgroup. The unordered and unweighted analysis produced 16 trees. a: Majority-rule consensus. b: Strict consensus. Consistency index (CI): 0.5882; Homoplasy index (HI): 0.4118; Retention index (RI): 0.7742.
Text-fig. 5. Metacheiromys marshi, AMNH 131777, left petrosal isosurface from CT scans in tympanic view; the posttympanic process of the squamosal and some possible entotympanic are also included. a – isosurface; b – line drawing with labels. Numbers 1 to 4 indicate depressions on medial flange. Abbreviations: ams – anteromedial septum, aptt – anteroventral process of tegmen tympani, cct – canal for chorda tympani nerve, ci – crista interfenestralis, cof – cochlear fossula, cp – crista parotica, ctp – caudal tympanic process, en? – possible entotympanic, epc – epitympanic crest, ew – epitympanic wing, fc – facial canal, fv – fenestra in Skeletal Anatomy Of The Basicranium And Auditory Region In The Metacheiromyid Palaeanodont Metacheiromys (Mammalia, Pholidotamorpha) Based On High-Resolution Ct Scans
Text-fig. 5. Metacheiromys marshi, AMNH 131777, left petrosal isosurface from CT scans in tympanic view; the posttympanic process of the squamosal and some possible entotympanic are also included. a – isosurface; b – line drawing with labels. Numbers 1 to 4 indicate depressions on medial flange. Abbreviations: ams – anteromedial septum, aptt – anteroventral process of tegmen tympani, cct – canal for chorda tympani nerve, ci – crista interfenestralis, cof – cochlear fossula, cp – crista parotica, ctp – caudal tympanic process, en? – possible entotympanic, epc – epitympanic crest, ew – epitympanic wing, fc – facial canal, fv – fenestra
T-Evos: A Large-Scale Longitudinal Study on CI Test Execution and Coverage Evolution
<p><strong>Description</strong></p> <p>T-Evos is a dataset on test results and coverage evolution, covering 6,495 consecutive commits across 12 open-source Java projects.</p> <p> </p> <p><strong>Version 0.1.0</strong></p> <p>We have included the test results and code coverage data. The test results data has been combined into the `test_status.json` for ease of access at the root level of the repository. Each of the node zip files contains the code coverage data. In each of the zip files, the code coverage data folder is structured as followed:</p> <ul> <li>project_name <ul> <li>commit_id <ul> <li>details <ul> <li>test_name.json (individual test coverage data)</li> <li>...</li> </ul> </li> <li>coverage.json (full test coverage data on commit_id)</li> </ul> </li> <li>surefire_test_method_dict.json (available test cases)</li> </ul> </li> <li>project_name.csv (commit build status [success/fail])</li> </ul> <p>Note: the current version of the dataset includes temporary `project_cluster` folders that users might kindly ignore.</p>
Sentinel-2 derived Sphagnum and herbaceous CI, GCC, NDVI, MSI, SL2P10 LAI, and hourly temperature, water table depth, PAR on the Bernadouze peatland from 2017 to 2021 and 2D scans LAI over 2021.
<p>This release contains data from field campaign over the Bernadouze Peatland and satellite sentinel-2 derived vegetation indices from 2017-01-01 to 2021-12-31.</p> <p>Sentinel-2 derived Sphagnum and herbaceous chlorophyll index, green chromatic coordinate, normalised difference index, moisture soil index retrived on google earth engine from 2017-01-01 to 2021-12-31 on the Bernadouze peatland.</p> <p>Sentinel-2 sphagnum and herbaceous leaf area index (m².m-²) computed with the SL2P10 algorithm from 2017-01-01 to 2021-12-31 thanks to google earth engine.</p> <p>Sphagnum leaf area index (m².m-²), measured with a 2D-scan (LI3100 Area Meter) over the 2021 season on the Bernadouze peatland.</p> <p>Reflectance over the 12 bands of Sentinel-2 on two areas of the Bernadouze peatland : one dominated by Sphagnum mosses and the other by herbaceous vegetation. Data related to an image acquired the 2021-07-21.</p> <p>Hourly air temperature (°C) and photosynthetically active radiations (umol.m-².s-1) derived from the S2M (SAFRAN–SURFEX, ISBA–Crocus–MEPRA) reanalysis chain on the Bernadouze peatland. Vertical resolution of 300m on the 'Couseran' massif.</p> <p>Hourly water table depth (m) from 10 piezometers (PZ1, ..., PZ10) over the Bernadouze peatland. Measured with 10 Orpheus Mini Water Level Logger, OTT HydroMet, Germany.</p> <p>Growth primary productivity of dominant peatland vegetation (umol.m-².s-1) calculated by the difference of measured net primary productivity and of measured ecosystem respiration flux under dark conditions. Measurements of GPP and ER are made with a soil chamber connected to a LI-COR LI-7810 analyser from 2017-01-01 to 2021-12-31 on the Bernadouze peatland.</p>
Empirical Study of Restarted and Flaky Builds on Travis CI
<p>This upload contains the dataset that has been collected for the paper: Empirical Study of Restarted and Flaky Builds on Travis CI.</p> <p>It is composed of four elements:</p> <ul> <li>A dump of the MongoDB database that contains 3286773 TravisCI build and 56522 restarted builds (json.gz files)</li> <li>The Github information for the repositories (repositories.tar.gz)</li> <li>The complete TravisCI build history of the repositories (repository_build_histories.tar.gz)</li> <li>The pull request information including the comments (pull_requests.tar.gz)</li> <li>The complete commit history of the repositories (repository_commits.tar.gz)</li> </ul> <p> </p>
KBNL03000145625 - Recueil d'édits, ordonnacnes, réglemens et déclarations décrétés dans les ci-devant Pays, Duché de Luxembourg et Comté de Chiny, en matière de bois et forêts
<p>Titel: <em>Recueil d'édits, ordonnacnes, réglemens et déclarations décrétés dans les ci-devant Pays, Duché de Luxembourg et Comté de Chiny, en matière de bois et forêts</em></p> <p>Publisher: Würth-Paquet</p> <p>Place: Luxembourg.</p> <p>Year: 1737.</p> <p>Used version: The copy we used for the transcriptions is held at the KB National Library of the Netherlands.</p> <p>Link digitised version of the book: https://books.google.nl/books?vid=KBNL:KBNL03000145625</p> <p>(Main) Language: French.</p> <p>Province: Luxembourg and Chiny</p> <p>Font: Roman.</p> <p>Model used: French_18thC_Print</p> <p>Version of Transkribus used: v.1.9.1.</p> <p>Other info: Abbyy FineReader v.11 has been used.</p> <p>Link model: For more information on the HTR-model used, please visit: <a href="https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries">https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries</a>.</p> <p>Transcription conventions:</p> <ul> <li> <p>The abbreviations have been written out into full words.</p> </li> <li> <p>The hyphens at the end of a line have been kept (when there).</p> </li> </ul> <p>If you are in need of the original scans of the documents, please contact <a href="mailto:xxxxxx@kb.nl">dataservices@kb.nl</a>.</p> <p>This transcription is part of the dataset created with the ‘Entangled Histories’-project.</p> <p>PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.</p> <p> </p>
Raw data for the research article "Rasch analysis of the Listening Effort Questionnaire - Cochlear Implant (LEQ-CI)"
<p>These are the raw data for the paper entitled "Rasch analysis of the Listening Effort Questionnaire - Cochlear Implant (LEQ-CI)" that is currently under revision in Ear and Hearing.</p>
PullReq-CI
<p>Software processes comprise many steps; coding is followed by building, integration testing, system testing, deployment,<br> operations, among others. Software process integration and automation have been areas of key concern in software engineering,<br> ever since the pioneering work of Osterweil; market pressures for Agility, and open, decentralized, software development<br> have provided additional pressures for progress in this area. But do these innovations actually help projects?<br> Given the numerous confounding factors that can influence project performance, it can be a challenge to discern the effects<br> of process integration and automation. Software project ecosystems such as GitHub provide a new opportunity in<br> this regard: one can readily find large numbers of projects in various stages of process integration and automation, and<br> gather data on various influencing factors as well as productivity and quality outcomes. In this paper we use large,<br> historical data on process metrics and outcomes in GitHub projects to discern the e↵ects of one specific innovation in<br> process automation: continuous integration. Our main finding is that continuous integration improves the productivity<br> of project teams, who can integrate more outside contributions, without an observable diminishment in code quality.<br> </p>
IKA CI Music Preprocessing Listening Experiment Stimuli (2022)
<p><strong>IKA CI Music Preprocessing Listening Experiment Stimuli (2022)</strong></p> <p>This dataset contains the audio stimuli that have been presented to both cochlear implant (CI) and normal hearing (NH) listeners in the listening experiments in a study named</p> <p><em>“A Subjective Evaluation of Different Music Preprocessing Approaches in CI Listeners”</em></p> <p>It comprises the excerpts from the <strong>IKA CI Pop Music Dataset (IKA-CI-PMD)</strong> (<a href="https://doi.org/10.5281/zenodo.7060282">10.5281/zenodo.7060282</a>) both as unprocessed references and as processed versions where different music preprocessing strategies have been<br> applied.</p> <p>The <strong>IKA CI Pop Music Dataset</strong> is a dataset of music excerpts that has especially compiled to evaluate different music signal preprocessing strategies for CI listeners. The excerpts taken are from the <strong>MedleyDB </strong>multitrack dataset (<a href="https://medleydb.weebly.com/">https://medleydb.weebly.com/</a>) curated by <a href="https://steinhardt.nyu.edu/marl/research/resources/medleydb">Rachel Bittner et. al.</a>.</p> <p>This dataset is split into a 3-piece “training” set (excerpts T01 to T03) that has been used to familiarize the listeners with the experimental setup, and a 12-piece “test” set (E01 to E12) used in actual experiments.</p> <p>The following music preprocessing strategies are included:</p> <ul> <li>HPCA+P: Harmonic/percussive sound separation (HPSS) combined with PCA-based spectral complexity reduction [1]</li> <li>Cspl and Dspl: DNN-based remix of the harmonic and percussive portions of 4 source stems [2]</li> <li>HALCA: Remix based on a probabilistic model for melody extraction using shift invariant kernels in CQT domain [3] (accompaniment attenuated by 12 dB)</li> <li>MT remix: Oracle remixes of multitrack stems (other accompaniment attenuated by 12 dB)</li> </ul> <p>All stimuli are normalized to a loudness level of -27 LUFS. The signals are stored in the lossless FLAC format. The files contain stereo signals, where both channels are identical.</p> <p>The dataset has been compiled at the Ruhr University Bochum <a href="https://www.ruhr-uni-bochum.de/ika/index_en.html">Institute of Communication Acoustics</a> in 2022 by Johannes Gauer (johannes.gauer@rub.de) in collaboration with the fellow researchers Anil Nagathil, Benjamin Lentz, and Rainer Martin. Like MedleyDB and the IKA CI Pop Music Dataset, it is licensed under a <a href="http://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.</p> <p>For further details on the included excerpts refer to the IKA CI Pop Music Dataset (IKA-CI-PMD) (<a href="https://doi.org/10.5281/zenodo.7060282">10.5281/zenodo.7060282</a>).</p> <p>[1] B. Lentz, A. Nagathil, J. Gauer, and R. Martin, “Harmonic/Percussive sound separation and spectral complexity reduction of music signals for cochlear implant listeners,” in Proc IEEE Int Conf Acoust Speech Signal Process ICASSP, Barcelona, Spain, May 2020, pp. 8713–8717.</p> <p>[2] J. Gauer, A. Nagathil, K. Eckel, D. Belomestny, and R. Martin, “A versatile deep-neural-network-based music preprocessing and remixing scheme for cochlear implant listeners,” J. Acoust. Soc. Am., vol. 151, no. 5, pp. 2975–2986, May 2022.</p> <p>[3] B. Fuentes, R. Badeau, and G. Richard, “Harmonic Adaptive Latent Component Analysis of Audio and Application to Music Transcription,” IEEE Trans. Audio Speech Lang. Process., vol. 21, no. 9, pp. 1854–1866, Sep. 2013.</p>
An Analysis of the 35+ Million Jobs of Travis CI
<p>This artifact contains a dataset of 35 793 144 TravisCI jobs configuration. This dataset has been created and used in the paper <a href="https://arxiv.org/abs/1904.09416"><em>An Analysis of 35+ Million Jobs of Travis CI </em></a>published at ICSME'19. </p> <p> </p> <blockquote> <pre>@inproceedings{durieuxTravis2019, title={An Analysis of 35+ Million Jobs of Travis CI}, author={Durieux, Thomas and Abreu, Rui and Monperrus, Martin and Bissyand{\'e}, Tegawend{\'e} F and CRUZ, LU{\'I}S}, booktitle={2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)}, year={2019} }</pre> </blockquote>
Data for BLH_NI_CI Analysis
<p>This is the Data for the paper "An analytical framework for reservoir operation with combined natural inflow and controlled inflowAn analytical framework for reservoir operation with combined natural inflow and controlled inflow".</p>
Littlears Auditory Questionnaire: Validation Study in CI Children
ClinicalTrials.gov study NCT00785707. IPD Sharing: Not stated. Countries: 1. Publications: 1.
S-BLR Versus C-BLR for CI-IXT in Children
ClinicalTrials.gov study NCT04064112. IPD Sharing: NO. Countries: 1. Publications: 12.
Chronotropic Incompetence (CI) Diagnostic Algorithm in Heart Failure Patients
ClinicalTrials.gov study NCT02358603. IPD Sharing: NO. Countries: 1. Publications: 1.
Treatment for CI-DME in Eyes With Very Good VA Study
ClinicalTrials.gov study NCT01909791. IPD Sharing: Not stated. Countries: 2. Publications: 2.
Clinical Investigation of New CI Delivery Models in an Adult Nucleus CI Population
ClinicalTrials.gov study NCT03304106. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
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.