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528
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ShareScore release 0.9.0
Dataset results
528 results for “correspondence”
Data and code corresponding to: Contemporary evolution rivals the effects of rhizobium abundance on soil nitrogen availability in experimental mesocosms
<p>Because genotypes within a species commonly differ in traits that influence other species, whole communities, or even ecosystem functions, evolutionary change within one key species may affect community and ecosystem processes. Here we use experimental mesocosms to test how the evolution of reduced cooperation in rhizobium mutualists in response to 20 years of nitrogen fertilization compares to the effects of rhizobium abundance on soil nitrogen availability and plant community composition and diversity. The evolution of reduced rhizobium cooperation caused reductions in soil nitrogen that were as strong, or even stronger, than substantially reducing rhizobium mutualist abundance in a community. Effects of both rhizobium evolution and rhizobium inoculation on legume dominance, plant community composition, and plant species diversity were much smaller in magnitude, but suggest that rhizobium evolution can alter the relative abundance of plant functional groups. Our findings indicate that the consequences of rapid microbial evolution for ecosystems and communities can rival the effects resulting from the presence or abundance of keystone mutualists.</p>
On the Correspondence between Information Flow, Noninterference, and Symbolic Execution - Benchmark Set
<p>The benchmark set the paper ``On the Correspondence between Information Flow, Noninterference, and Symbolic Execution'' evaluates.</p>
On the Correspondence between Information Flow, Noninterference, and Symbolic Execution - Benchmark Set
<p>The benchmark set the paper ``On the Correspondence between Information Flow, Noninterference, and Symbolic Execution'' evaluates.</p>
Data for training AMSR2-CNN and its corresponding machine learning algorithm
<p>Despite the availability of multiple decades of passive microwave measurements from satellite platforms, their utility for developing quantitative, spatially distributed estimates of snowpack is yet to be realized. A major bottleneck is the use of simple conceptual retrieval model formulations that are ineffective in representing the significant heterogeneity and complexity of snow evolution, particularly over areas with complex topography and forest regions. Here we demonstrate a physics-constrained and interpretable Convolutional Neural Network (CNN) to learn the functional relationship utilizing multi-channel passive microwave brightness temperature measurements from the Advanced Microwave Scanning Radiometer 2 (AMSR2) and in-situ snow depth observations. The machine learning approach with CNN generates vastly improved snow depth estimates relative to the standard AMSR2 estimates. Compared to independent in-situ measurements of snow depth over the Continental United States, the domain averaged Pearson correlation measure is three times higher than that of the standard AMSR2 estimates (R<sup>2</sup>: 0.68 versus 0.21), while the systematic errors are reduced by approximately fourfold. Further, the CNN-based snow depth estimates also exhibit notable enhancements in regions with forests, deep snow, and melting snow, thereby alleviating the limitations faced by traditional algorithms in retrieving accurate snow depths. The interpretation of the CNN framework further indicates that the machine learning approach dynamically leverages both volume scattering and emission components from a suite of measured passive microwave signals to generate more accurate snow depth retrievals. The results of this study provide an important benchmark of high-quality snow retrievals from passive microwave satellite measurements by maximizing their information content.</p>
The data used in correspondence on the article entitled "Reply: Correspondence on NanoVar's performance outlined by Jiang T. et al. in 'Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation'."
<p>The data used in correspondence on the article entitled “Reply: Correspondence on NanoVar’s performance outlined by Jiang T. et al. in ‘Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation’.”. It contains the benchmarking results evaluated by Truvari. The running log files of NanoVar are also included in this repository.</p>
Data corresponding to Figure 1B and 3E of Liu et al, NSMB 2023 https://doi-org.insb.bib.cnrs.fr/10.1038/s41594-023-01065-w
<p>Here we provide data corresponding to panels 1B and 3E of the manuscript:</p> <p>Liu, S., Miné-Hattab, J., Villemeur, M. <em>et al.</em> In vivo tracking of functionally tagged Rad51 unveils a robust strategy of homology search. <em>Nat Struct Mol Biol</em> (2023). https://doi-org.insb.bib.cnrs.fr/10.1038/s41594-023-01065-w</p> <p>For panel 1A: a pdf file showing viability assays on MMS plates corresponding to panel 1B. All conditions and strains<br> have been tested in at least three independent experiments. Raw images are provided in individual folders for each assay.</p> <p>For panel 3E: a pdf file showing maximal Z-projection images of filaments from the different genotypes shown in Figure 3e (more than 300 filaments for each genotype). The corresponding raw data (maximal Z-projections and 3D stacks) are<br> provided in separate folders for each genotype</p>
Universal potentials and corresponding data sets for metal clusters
<p>These potentials (*.pb) have been constructed using the data sets including the boxes, structural coordinates, energies and atomic forces of metal clusters, where the data sets have been generated using the concurrent learning workflow. For each metal cluster system, including pure metal clusters and alloys, the sample ensemble is maintained under NVT conditions with a temperature range spanning from approximately 50.0K to 1500 K. The system sizes encompass a range from small clusters to surfaces and bulk structures, which are subjected to periodic boundary conditions. In the case of alloys, the explorations are conducted throughout the entire concentration space, with each species varying in composition from 0 to 1.</p> <p>This dataset is maintained in AI2DB, you can access it via https://ai2db.ikkem.com/dynacat</p>
The data and codes corresponding to "Calibration of an SKA-Low prototype station using holographic techniques"
<p>The data and codes for our paper "Calibration of an SKA-Low prototype station using holographic techniques" being submitted to Radio Science. The data were acquired on 30-11-2022 around noon. The contents of this dataset are as follows.</p> <ol> <li>channel_cont_20221130_17259_0.hdf5 - voltage dump file with the AAVS2 antenna voltages.</li> <li>chan_204_20221130T04473900.uvfits - channelised and correlated uvfits file for the AAVS2 voltage dump. This can be imported into conventional radio astronomy packages such as miriad.</li> <li>miriad_mfcal4holo.sh - script to process the uvfits file in miriad.</li> <li>chan_204_20221130T04473900.uv_aver_phc.zip - final calibrated miriad data as a zip file.</li> <li>antenna_locations_aavs2.txt contains the AAVS2 antenna locations in metres.</li> <li>channel_4_1_1669783636.945334.dada - beamformed voltage stream from EDA2 with the beam towards the Sun.</li> <li>Holography_combined.ipynb - jupyter notebook to perform all the holographic techniques with the data given above and generate all the figures used in the paper.</li> </ol>
Correspondence of ScO2 and Cardiac Output in Hemodialysis
ClinicalTrials.gov study NCT01252394. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Radiofrequency for Chronic Post-mastectomy Pain: is it Better to Target Intercostal Nerves or Corresponding Dorsal Root Ganglia?
ClinicalTrials.gov study NCT03374423. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Study of Herbal Formula Corresponding to Syndrome in Treating Post Percutaneous Coronary Intervention (PCI) Patients With Coronary Heart Disease (CHD)
ClinicalTrials.gov study NCT00817024. IPD Sharing: Not stated. Countries: 1. Publications: 2.
PRO-STATE:Search for a Protein Profile Corresponding to Fast-developing Lesions and Characterization of Implicated Proteins in Prostate Carcinoma
ClinicalTrials.gov study NCT00427817. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Pancreatic Injury and Corresponding Management Outcome (PICO)
ClinicalTrials.gov study NCT03681041. IPD Sharing: NO. Countries: 1. Publications: 1.
Assessment of the Prevalence of Major Psychiatric Disorders in a Cohort of Women With Clinical Criteria Corresponding to Pure, Abortive-form, Obstetrical, Antiphospholipid Syndrome
ClinicalTrials.gov study NCT02833194. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Measurement of the Distance Between the Corresponding Anatomical Landmarks in the Thoracic Cavity and the Incisors
ClinicalTrials.gov study NCT03720405. IPD Sharing: UNDECIDED. Countries: 1. Publications: 11.
Rapid Ligating the Corresponding Inflow and Outflow Vessels Without Hilus Dissection During Hepatectomy
ClinicalTrials.gov study NCT02319863. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Feather macrostructure corresponds to increased temperature not urbanization across California
Open the record for dataset details and reuse information.
Data from: Genetic structure of little brown bats (Myotis lucifugus) corresponds with spread of white-nose syndrome among hibernacula
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Data from: Flow of CO2 from soil may not correspond with CO2 concentration in soil
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Mussentuchit member fossil eggshell light microscope photographs and corresponding metrics
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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.