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3,505 results for “completive”
Complete bacterial assemblies for 'Enterobacterales plasmid sharing amongst human bloodstream infections, livestock, wastewater, and waterway niches in Oxfordshire, UK'
<p>Complete bacterial assemblies from the journal article 'Matlock, William, et al. "<em>Enterobacterales</em> plasmid sharing amongst human bloodstream infections, livestock, wastewater, and waterway niches in Oxfordshire, UK." <em>Elife</em> 12 (2023): e85302.'</p> <p>'assemblies.zip' contains assemblies for <em>n</em>=1,458 isolates with circularised chromosomes and <em>n</em>=3,697 circularised plasmids.</p> <p><strong>If you use this data please cite the journal article <em>and</em> the Zenodo DOI. </strong></p>
Accuracy of biomicroscopy, ultrasonography and spectral-domain OCT in detection of complete posterior vitreous detachment
<p><span><strong>Purpose</strong>: To evaluate the accuracy of pre-operative biomicroscopy (BM), ultrasonography (US), and spectral domain optical coherence tomography (SD-OCT) for determining complete posterior vitreous detachment (PVD) confirmed by intraoperative findings of triamcinolone acetonide-assisted pars plana vitrectomy (PPV).</span></p> <p><span><strong>Design</strong>: This was a prospective, consecutive, interventional case series.</span></p> <p><span><strong>Methods</strong>: The study included all patients admitted for surgical treatment of epiretinal membrane (ERM) and macular hole (MH). Presence of complete PVD was determined one day before PPV using BM, US, and SD-OCT. Preoperative findings were compared to PVD status determined during PPV.</span></p> <p><span><strong>Results</strong>: A total of 123 eyes of 123 patients were included in the study. Indications for PPV included ER in 57 (46.34%), full thickness macular hole in 57 (46.34%), and lamelar macular hole in 9 (7.32%) patients. Complete PVD during PPV was observed in 18 (31.58%; 95% CI:18.72–49.91) patients with ERM and 13 (19.7%; 95% CI: 10.49–33.68) patients with MH. Vitreoschisis was present in 30 (24.39%; 95% CI: 15.46–34.82) patients during PPV. The sensitivity of preoperative BM, US, SD-OCT was 48.4% (95% CI: 30.2–66.9), 61.3% (95%CI: 42.2–78.2) and 54.8% (95% CI: 36.0–72.7) respectively. The specificity of preoperative BM, US, SD-OCT was 81.5% (95% CI: 72.1–88.9), 90.2% (95% CI: 82.2–95.4) and 85.9% (95% CI: 77.0–92.3) respectively. With a prevalence of 25.2% of PVD in our sample the positive predictive value of preoperative BM, US, SD-OCT was 46.9% (95% CI: 29.1–65.3),</span> <span>67.9% (95% CI: 47.6–84.1) and 56.7% (37.4–74.5) respectively.</span></p> <p><span><strong>Conclusion</strong>:</span> <span>Preoperative BM, US, and SD-OCT are associated with poor sensitivity and a rather good specificity for detecting complete PVD. There is relatively a high percentage of pa</span>tients with vitreoschisis undergoing vitreoretinal surgery, therefore vitreoretinal surgeons should consider routine usage of triamcinolone in all vitreoretinal cases.</p>
Predicted Spatially Complete Zoning Map of North Carolina
<p>Spatially-complete zoning map of North Carolina, USA. The <strong>results </strong>folder contains results of a machine learning (random forest) model predicting 3 core district zones (residential, non-residential, and mixed use) and 13 sub-district zones (open space, industrial, commercial, office, planned use, high-density residential, medium-high-density residential, medium-density residential, medium-low-density residential, low-density residential, agricultural residential, mixed use, and downtown). Results are provided as 30-m rasters (.tif) with each value corresponding to a zoning district. Table containing zone district ID (number) and zone district name (character string) is included in <strong>zone_classification.csv</strong>. Final (spatially complete statewide maps) can be found in the <strong>final_predicted </strong>folder. This folder includes Statewide core district results in <strong>NC_predicted_core.tif</strong> and statewide sub-district results in <strong>NC_predicted_sub.tif</strong>. </p> <p>Zoning was generalized and reclassified into 3 core district zones and 13 sub-district zones (described above). Reclassified zoning data, collected from 39 counties in North Carolina is provided in the <strong>observed </strong>folder with core districts in <strong>core_district_observed_zones.tif</strong> and sub-districts in <strong>sub_district_observed_zones.tif</strong>. Also in this folder is <strong>zoning_implementation_NC.csv</strong> which includes links to the source data (zoning map and zoning ordinance) for all collected data.</p> <p>Two models were created to predict zones under different data availability scenarios (i.e., scenarios that assume different levels of data availability). Predictions labeled “within_county” utilized the within-county model which predicts zoning districts in areas where zoning data is partially available for that county. To approximate scenarios of incomplete data accessibility, 20% of the data was randomly removed from training and reserved for independent performance assessments. Predictions labeled “between-county” utilized the between-county model which predicts zoning districts in areas where zoning data is inaccessible. To approximate this scenario, multiple between-county model iterations were computed by randomly removing entire counties from the training dataset and computing performance metrics on the removed (test) counties. Predictions are provided for both core districts and sub-districts (described above). Results from these models can be found in the <strong>predicted </strong>folder. This folder contains four subfolders: <strong>core_district_within_county</strong>, <strong>sub_district_within_county</strong>, <strong>core_district_between_county</strong>, and <strong>sub_district_between_county</strong>. Within each of these folders are predicted maps 30-m raster (.tif), performance reports including precision, recall, and f1 score overall and per district (.csv), and accuracy maps (3-km grid shapefile [.shp, .shx, .prj, .dbf]) with values corresponding to the proportion of misclassified pixels within a grid cell. Multiple randomized testing county samples were conducted for the between-county models. Each random sample is labeled <strong>r*_</strong> where * is replaced with a number between 1 and 15.</p>
IOW ESM minimal complete setup
<p>This a minimal setup for the IOW ESM (compatable to version 1.04.00).</p> <p>The coupled run is performed for 9 days (1959-01-01 to 1959-10-01) in chunks of 3 days. The atmospheric model is CCLM (version 5.00) with 0.22° horizontal resolution for the Eurocordex domain. The oceanic model for the Baltic Sea is the MOM5 model with 3nm horizontal resolution acompanied by the ERGOM ecosystem model. The forcing for CCLM is generated from the ERA5 reanalysis data.</p> <p>The setup is constructed for the HLRN supercomputer and has to be adapted for other target machines. See the related documentation at https://sven-karsten.github.io/iow_esm/intro.html.</p>
CommitChronicle dataset from the paper "From Commit Message Generation to History-Aware Commit Message Completion", ASE 2023
<pre>This is the CommitChronicle dataset for commit message generation (and/or completion), introduced in the paper "From Commit Message Generation to History-Aware Commit Message Completion", ASE 2023. For further details, see the attached README.md. <strong>Note.</strong> Also available on HuggingFace Hub: <a href="https://huggingface.co/datasets/JetBrains-Research/commit-chronicle">JetBrains-Research/commit-chronicle</a></pre>
Dataset for "Excellent test-retest reliability of the six-minute walking distance measured by FeetMe insoles during tests conducted with a one-week interval by completely unassisted healthy adults in their homes."
<p>This is the dataset used in the scientific article "Excellent test-retest reliability of the six-minute walking distance measured by FeetMe insoles during tests conducted with a one-week interval by completely unassisted healthy adults in their homes." Participants (n=21) performed two 6MWTs at home while wearing the FeetMe<sup> </sup>insoles, and two 6MWTs at hospital while wearing FeetMe<sup> </sup>insoles and being assessed by a rater. All assessments were performed with a one-week interval between tests, no assistance was provided to the participants at home. Each column represents the 6MWD for each participant at one of the visits and using one of the measurement methods. Columns' headers provide clear description of the corresponding condition.</p>
Painting a more complete picture of white matter microstructure with myelin water and tensor valued diffusion
<p>Data supporting the publication <strong>Painting a more complete picture of white matter microstructure with myelin water and tensor valued diffusion. </strong></p> <p>V1.0: Includes atlases of MRI measures described in the paper, tracts generated specifically for the study, and a sample subject's data.</p> <p>Processing code available at: https://github.com/sharadab/microstructure_processing_paper </p>
A complete energy community dataset with photovoltaic generation, battery energy storage systems and electric vehicles (v1.5)
<p>This dataset represents a complete European energy community based on actual data. In this scenario, a community of 250 households was built using real energy consumption and solar generation data obtained in homes throughout Europe. In total, 200 community members were assigned solar generation, while 150 were assigned a battery storage system. From the acquired sample, new profiles were created and randomly assigned to each end-user while also receiving two electric cars with information on their capacity, state-of-charge, and usage. Furthermore, it is provided the electric vehicle chargers’ information on their location, type, and cost of operation.</p> <p> </p> <p>Version 1.5 update: <span>on the Sheet EVs, lines 29 (Capacity kW), 30 (Charge kW), and 31 (Discharge kW) were updated to the correct values.</span></p> <p> </p> <p>This work has been published in Elsevier's Data in Brief journal:<br><em> Ricardo Faia, Calvin Goncalves, Luis Gomes, Zita Vale<br> Dataset of an energy community with prosumer consumption, photovoltaic generation, battery storage, and electric vehicles<br> Data in Brief, 2023, 109218, ISSN 2352-3409<br> <a href="https://doi.org/10.1016/j.dib.2023.109218.">https://doi.org/10.1016/j.dib.2023.109218</a><br> (<a href="https://www.sciencedirect.com/science/article/pii/S2352340923003372)">https://www.sciencedirect.com/science/article/pii/S2352340923003372)</a></em></p> <p> </p> <p>We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Data in Brief publication to cite this work.</p> <p> </p> <p>Reference data used to create this dataset:</p> <ul> <li>Filtered energy profiles and renewable energy production profiles: <a href="../record/6778401">https://zenodo.org/record/6778401</a></li> </ul> <ul> <li>Battery storage systems and electric vehicles: <a href="../record/4737293">https://zenodo.org/record/4737293</a></li> </ul>
Fig. 4. X in First complete heterosoricine shrew: A new genus and species from the Miocene of China
Fig. 4. X−ray image of dentition and lower jaws of Lusorex taishanensis.
Fig. 6. X in First complete heterosoricine shrew: A new genus and species from the Miocene of China
Fig. 6. X−ray image of the shank and hindfoot of Lusorex taishanensis.
Online Supplementary Materials 2: Complete Projects and Papers included within Motivation Crowding in PES
<p>The following supplementary material is associated with the paper, Motivational Crowding in Payments for Ecosystem Service Schemes: a Global Systematic Review, published within Conservation and Society. </p> <p>The full review can be found here. </p> <p> </p> <p> </p>
Tacrolimus and Methotrexate With or Without Sirolimus in Preventing Graft-Versus-Host Disease in Young Patients Undergoing Donor Stem Cell Transplant for Acute Lymphoblastic Leukemia in Complete Remis
ClinicalTrials.gov study NCT00382109. IPD Sharing: Not stated. Countries: 3. Publications: 2.
Safety and Efficacy Study of Teduglutide in Subjects With Short Bowel Syndrome Who Completed Protocol CL0600-004 (NCT00081458)
ClinicalTrials.gov study NCT00172185. IPD Sharing: Not stated. Countries: 8. Publications: 3.
Safety and Efficacy Extension Study of Daclizumab High Yield Process (DAC HYP) (BIIB019) in Participants Who Have Completed Study 205MS202 (NCT00870740) to Treat Relapsing Remitting Multiple Sclerosis
ClinicalTrials.gov study NCT01051349. IPD Sharing: Not stated. Countries: 8. Publications: 3.
Effect of Varied Outreach Methods on Appointment Scheduling, Appointment Completion, and Receipt of COVID-19 Vaccination
ClinicalTrials.gov study NCT04904744. IPD Sharing: NO. Countries: 1. Publications: 1.
"Completeness of Response" Following Treatment With Treximet™ for Migraine
ClinicalTrials.gov study NCT00893737. IPD Sharing: Not stated. Countries: 1. Publications: 4.
A Long-term Follow-up Study for Cardiac Safety in the Patients With HER2 (+) Breast Cancer Who Have Completed the SB3-G31-BC
ClinicalTrials.gov study NCT02771795. IPD Sharing: Not stated. Countries: 7. Publications: 2.
Effect of Varied Outreach Methods on Appointment Scheduling and Appointment Completion Using MyChart
ClinicalTrials.gov study NCT04994691. IPD Sharing: NO. Countries: 1. Publications: 1.
Enabling Advance Directive Completion
ClinicalTrials.gov study NCT01746368. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Interactive, Health Literacy Promoting Text Messages and HPV Vaccine Completion In Minority Adolescents
ClinicalTrials.gov study NCT02236273. IPD Sharing: UNDECIDED. 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.