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387 results for “Type System”
Raw data to "Series expansions in closed and open quantum many-body systems with multiple quasiparticle types"
<p>This collection of data is complementary to the publication "Series expansions in closed and open quantum many-body systems with multiple quasiparticle types", Lea Lenke, Andreas Schellenberger, Kai Phillip Schmidt, <a href="https://arxiv.org/abs/2302.01000">arXiv:2302.01000</a> (<a href="https://arxiv.org/abs/2302.01000">https://arxiv.org/abs/2302.01000</a>).</p> <p>It contains all data used for Figure 2 given in the file `Figure_2_complementary_data.yaml` and all needed data to recalculate the energies of the visualized modes in the files `Figure_2_coefficients_expectation_values.yaml` and `Figure_2_broad_signum_coefficients_expectation_values.yaml`.</p> <p>For the last two files, we used a program to calculate the coefficients. The source code for coefficient calculation is openly available under GitHub (<a href="https://github.com/FAU-kpslab/pcstpp_CoefficientGenerator">https://github.com/FAU-kpslab/pcstpp_CoefficientGenerator</a>) including configuration files to reproduce the coefficients given here.</p> <p>All files are self-consistent, for further information we recommend the comments directly in the files.</p> <p>For further details on the used method pcst<sup>++ </sup>and discussion of the results we refer to the linked publication.</p> <p>If any question may arise, you are highly welcome to contact us (see e.g. contact information on the publication).</p>
The Vibrio Type III Secretion System 2 is not restricted to the Vibrionaceae and encodes differentially distributed repertoires of effector proteins
<p>Supplementary Dataset for the work entitled "The Vibrio Type III Secretion System 2 is not restricted to the Vibrionaceae and encodes differentially distributed repertoires of effector proteins".</p> <p>This dataset includes files for the T3SS2 reconstructed phylogenetic tree (Newick tree and fasta file), hierarchical clustering data analysis file from MORPHEUS, Table S1 with genome accession numbers, and all the data of the absence/presence of T3SS2-related components, Table S2 with the prediction of novel effector proteins.</p>
Global Crop Type Validation Data Set for ESA WorldCereal System
<p>This dataset was created by using a new IIASA tool, called “Street Imagery validation” (<a href="https://svweb.cloud.geo-wiki.org/">https://svweb.cloud.geo-wiki.org/</a>) where users could check street level images (e.g., Google Street Level images, Mapillary etc.) and identify the crop type where it is possible. The advantage of this tool is that there are plenty of georeferenced images with dates, going back in time. The disadvantage is that users need to check plenty of images where only few will clearly show cropland fields that are mature enough to be identified. To make the data collection more efficient, we provided our experts with preliminary maps of points in agricultural areas where street level images are available for the year 2021. Then, the experts checked those locations in an opportunistic way. The dataset is completely independent from all the existing maps and the reference datasets.</p> <p>There are 3 main data records uploaded:</p> <ol> <li>sv_croptype_poly.zip – an archive with a shapefile containing all the collected polygons with crop type information. Not all the polygons correspond to actual field boundaries.</li> <li>sv_croptype_validations.csv – a table with crop type observations with centroid coordinates in WGS84</li> <li>sv_worldcereal_validation.csv – a table with a subset of crop type observations used in validation of WorldCereal crop type maps for 2021.</li> </ol> <p>Fields:</p> <ul> <li>"id" – unique observation identifier;</li> <li>"imgSource" – source of imagery used for visual inspection;</li> <li>"imgLoc" – image location;</li> <li>"svImgDate" – image date;</li> <li>"imageIdKey" – image unique identifier;</li> <li>"submitedAt" – date of submission of crop type observation;</li> <li>"cropType" - crop type observation;</li> <li>"irrType" – irrigation type;</li> <li>"x", "y" – centroids of submitted polygons in WGS84.</li> </ul>
CrossDomainTypes4Py: A Python Dataset for Cross-Domain Evaluation of Type Inference Systems
<p>This dataset contains python repositories mined on GitHub on January 20, 2021. It allows a cross-domain evaluation of type inference systems. For this purpose, it consists of two sub-datasets, each containing only projects from the web or scientific calculation domain, respectively. Therefore we searched for projects with dependencies to either <a href="https://numpy.org/">NumPy</a> or <a href="https://flask.palletsprojects.com/en/2.0.x/">Flask</a>. Furthermore, only projects with dependencies to <a href="http://mypy-lang.org/">mypy</a> were considered, because this should ensure that at least parts of the projects have type annotations. These can be used later as ground truth. Further details about the dataset will be described in an upcoming paper, as soon as it is published it will be linked here.<br> The dataset consists of two files for the two sub-datasets. The web domain dataset contains 3129 repositories and the scientific calculation domain dataset contains 4783 repositories. The files have two columns with the URL to the GitHub repository and the used commit hash. Thus, it is possible to download the dataset using shell or python scripts, for example, the pipeline provided by <a href="https://github.com/saltudelft/many-types-4-py-dataset">ManyTypes4Py</a> can be used.<br> If repositories do not exist anymore or are private, you can contact us via the following email address: bernd.gruner@dlr.de. We have a backup of all repositories and will be happy to help you. </p>
Winter Precipitation-Type Models for "Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications"
<p>This contains trained model weights, scalers, and evaluation metrics for the winter precipitation-type models trained as part of the paper "Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications". </p>
2023 California Community Water System institutional type update
Open the record for dataset details and reuse information.
Data for: Constitutive expression of the Type VI secretion system carries no measurable fitness cost in Vibrio cholerae
Open the record for dataset details and reuse information.
Comparison of different types of restitution in groundwater for open-loop shallow geothermal systems
<p>Comparison of different types of restitution in groundwater of the thermally modified water, exploited by open-loop shallow geothermal systems. The comparison shows that the restitution in the vadose zone in more thermally sustainable, since the produced thermal alteration is lower when reinstating the aquifer by trenches or infiltration wells rather than using a reinjection well directly in groundwater. These would be wiser solutions to avoid an overheating/overcooling of the aquifer at higher depths, especially in urban areas where the density of shallow geothermal systems is constantly increasing. The white line represents the elevation of the groundwater table calculated by the model for each simulated day.</p>
Interactions between pili affect the outcome of bacterial competition driven by the type VI secretion system
<div> <div> <div> <div> <div> <p>This dataset accompanies the publication "Interactions between pili affect the outcome of bacterial competition driven by the type VI secretion system" (Otto <em>et al., </em>2024). It encompasses the raw data for all graphs, <em>p</em> values, and growth rates associated with the study.</p> </div> </div> </div> </div> </div>
Explaining a rapidly fading star as a type II ILOT in a triple star system
<p>Bear, Soker and Kashi 2022<br> ==========================</p> <p>The code follows 1M_pre_ms_to_wd example in test suite.<br> Prior to running this code we run 12Mo when we follow the example of 16_predictive_mix example for 12Mo.<br> We look when this star of 12Mo leaves the MS, the time taken is 1.46X10^7 years.</p> <p>The code is divided to 2 stages:<br> Stage A: up to 1.46X10^7 years when no other changes have been made to the example. We save the file produces at 1.46X10^7years.</p> <p>Stage B: We restart the file at 1.46X10^7years and insert mass loss by enabling mass_change.</p> <p>The mass parameter for stage A+B is: 0.3Mo and 0.5Mo.<br> The mass_change parameter is 0.3X10^-5, 1X10^-5, 3X10^-5 Mo/yr</p> <p>Each stage contains the inlist and the data files used in https://arxiv.org/abs/2202.08629</p> <p> </p>
Type IV-A3 CRISPR-Cas systems drive inter-plasmid conflicts by acquiring spacers in trans
<p>Plasmid-encoded type IV-A CRISPR-Cas systems lack an acquisition module, feature a DinG helicase instead of a nuclease, and form ribonucleoprotein complexes. Type IV-A3 systems are carried by conjugative plasmids that often harbor antibiotic resistance genes. Their CRISPR array contents suggest a role in inter-plasmid conflicts, but this function remains unexplored. Here, we demonstrate that a plasmid-encoded type IV-A3 system co-opts the type I-E adaptation machinery from its host, Klebsiella pneumoniae, to update its CRISPR array. Furthermore, we reveal that robust interference of conjugative plasmids and phages is elicited through CRISPR RNA-dependent transcriptional repression. By silencing plasmid core functions, type IV-A3 impacts the horizontal transfer and stability of targeted plasmids, supporting its role in plasmid competition. Our findings shed light on the mechanisms and ecological function of type IV-A3 systems and demonstrate their practical efficacy for countering antibiotic resistance in clinically relevant strains.</p>
Type-A grounding system effective length database
<p>A dataset containing effective length values of a subset of type-A grounding system according to the IEC 62305-3 International Standard.</p> <p>Effective length values are computed in 880 simulations by varying three input parameters (features): soil resistivity, rise-time of the lightning current injected in the middle of the grounding system, and the burial depth of the grounding system.</p> <p>In the computation procedure soil ionization is disregarded.</p>
MxiN Differentially Regulates Monomeric and Oligomeric Species of the Shigella Type Three Secretion System ATPase Spa47
<p>Enzyme kinetics data from "MxiN Differentially Regulates Monomeric and Oligomeric Species of the Shigella Type Three Secretion System ATPase Spa47".</p>
Shutting Down Shigella Secretion: Characterizing Small Molecule Type Three Secretion System ATPase Inhibitors
<p>Spa47 inhibition data from "Shutting Down <em>Shigella</em> Secretion: Characterizing Small Molecule Type Three Secretion System ATPase Inhibitors".</p>
Datasets of protein models from plasmids containing conjugative Type 4 Secretion Systems
<p>In the connected article, we have created a database of all modelled protein structures encoded on plasmids that contain conjugative type 4 secretion systems. In this deposition, you will find zip files of all structures modelled by AlphaFold, as well as the ones that were modelled using EMS fold. Further, there the csv file containing the DeepFRI output, as well as a fasta file containing the sequences of the plasmids.</p> <p>The AlphaFold and ESM databases contain the structural models of the curated/triaged proteins, as described in the paper.</p> <p> </p>
MiniMed™ 670G System China Study for Type I Diabetic
ClinicalTrials.gov study NCT04663295. IPD Sharing: NO. Countries: 1. Publications: 1.
Multi-center Trial in Adult and Pediatric Patients With Type 1 Diabetes Using Hybrid Closed Loop System and Control at Home
ClinicalTrials.gov study NCT02748018. IPD Sharing: NO. Countries: 9. Publications: 1.
Research Study to Look at Fast-acting Insulin Aspart With the Insulin Pump System 'iLet™' in Adults With Type 1 Diabetes
ClinicalTrials.gov study NCT03816761. IPD Sharing: YES. Countries: 1. Publications: 1.
Effect of Duodenal Mucosal Resurfacing (DMR) Using the Revita System in the Treatment of Type 2 Diabetes (T2D)
ClinicalTrials.gov study NCT02879383. IPD Sharing: NO. Countries: 5. Publications: 1.
Association of Systemic Immune-inflammation Index and Severity of Diabetic Ketoacidosis in Type 1 Diabetes Mellitus
ClinicalTrials.gov study NCT06251895. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.