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685 results for “errors”
Dataset for Hohls et al "Controlling the error mechanism in a tunable-barrier non-adiabatic charge pump by dynamic gate compensation"
<p>Dataset for Hohls et al "Controlling the error mechanism in a tunable-barrier non-adiabatic charge pump by dynamic gate compensation", <a href="https://arxiv.org/abs/2112.10713">https://arxiv.org/abs/2112.10713</a></p>
msd-errors - Data for AgCrSe2 figures
Data for the figures Results of the analysis of AgCrSe2 systems by kinisi at a series of temperatures.<br><br>Created using <a href="https://github.com/rodluger/showyourwork">showyourwork</a> from <a href="git@github.com:arm61/msd-errors/tree/fc1af0c7016e63e39f7ae49931bc29f017e3fc59">this GitHub repo</a>.<br>
Genetic and immunological evaluation of children with inborn errors of immunity and hypoxemic COVID-19 pneumonia
<p><strong><em>Background:</em></strong> SARS-CoV-2 has infected more than 450 million people around the world. In about 10% of cases, the infection leads to hypoxemic pneumonia, which is much rarer in children, while multisystem inflammation is seen almost only in children.</p> <p><strong><em>Methods:</em></strong> We evluated 31 young patients (0.5-19 years) who had both pre-existing inborn errors of immunity (IEI) and were later diagnosed with COVID-19 complications. Whole-exome sequencing was performed, SARS-CoV-2 specific antibodies and autoantibody against type I interferons were measured and plasma inflammatory factors were profiled. We also reviewed COVID-19 disease severity and outcome in IEI patients in the literature.</p> <p><strong><em>Results:</em></strong> A potential genetic cause of the IEI was identified in 28 patients (90.3%). The IgM and IgG-specific antibody response against the spike protein of the virus was positive in 14 (66.6%) of the IEI patients tested. Autoantibodies neutralizing type I interferons were identified in the plasma of two patients (6.8% of tested samples). Five patients fulfilled the diagnostic criteria of multisystem inflammatory syndrome in children (MIS-C). Eleven patients (35.4%) died due to COVID-19 complications showing a 3000 fold higher mortality rate compared to normal COVID-19 death rate in children (0.01%). For the additional 696 IEI patients reported till date, severe presentation of COVID-19 was observed in 23.3% of cases. Furthermore, a 5-fold higher mortality rate was observed, when compared with global infection-fatality reports.</p> <p><strong><em>Conclusions:</em></strong> Elucidating the genetic basis of IEI patients with severe/critical COVID-19 may help to better understand the human innate and adaptive immune response against SARS-CoV-2, which may assist to develop better preventive and therapeutic strategies.</p>
Dataset for plots and tables of a paper on asymptotically exact a posteriori error estimates for mixed Laplace eigenvalue problems
<p>This compressed dataset includes all generated data for the paper</p> <p>"A note on asymptotically exact a posteriori error estimates for mixed Laplace eigenvalue problems"</p>
Subspecies and Distribution. L.f.fronsÉ.GeoffroySaint-Hilaire,1810SenegalandGambiaEtoNigeria,Cam-eroon,andCentralAfricanRepublic,andStoSWRepublicoftheCongo. L.f.affinisK.Andersen&Wroughton,1907-Chad,Sudan,SouthSudan,NUganda,andextremeNEDR(longo. L. f.rex G. S. Miller, 1905 -Eritrea, Ethiopia, and Somalia S through E DR Congo, Kenya, and Tanzania (including Unguja l in Zanzibar Archipelago) to N Zambia and N Malawi. A published report from Namibia is considered an error. in Megadermatidae
Subspecies and Distribution. L.f.fronsÉ.GeoffroySaint-Hilaire,1810SenegalandGambiaEtoNigeria,Cam-eroon,andCentralAfricanRepublic,andStoSWRepublicoftheCongo. L.f.affinisK.Andersen&Wroughton,1907-Chad,Sudan,SouthSudan,NUganda,andextremeNEDR(longo. L. f.rex G. S. Miller, 1905 -Eritrea, Ethiopia, and Somalia S through E DR Congo, Kenya, and Tanzania (including Unguja l in Zanzibar Archipelago) to N Zambia and N Malawi. A published report from Namibia is considered an error.
msd-errors - Data for the LLZO figure
Data for the figure showing the diffusion and Arrhenius plots for a short simulation of LLZO. <br><br>Created using <a href="https://github.com/rodluger/showyourwork">showyourwork</a> from <a href="git@github.com:arm61/msd-errors/tree/56fb2caf0e78a22d0acc1b937c097cebbf5e915f">this GitHub repo</a>.<br>
The station-based error information of monthly snow depth, precipitation and air temperature for CMIP6 models in mainland China
<p>This dataset contains the data of monthly snow depth in terms of RMSD (cm), spatial correlation (R<sub>s</sub>), temporal correlation (R<sub>t</sub>), consistency index (CI), and Hotspot score (H-score) of the 1415 weather stations (only 342 stations with longterm observations were available for R<sub>t</sub>, CI and H-score) in China used for evaluating the snow depth simulated or estimated from 31 CMIP6 models, MERRA2 reanalysis and a remote sensing snow depth dataset (Che). It also includes the data of errors and accumulated errors of monthly precipitation (mm) and air temperature (℃) from the 342 stations of all the 31 CMIP6 models, which can be used for constructing the regression models for analyzing error sources of snow depth simulations. The NA values of monthly precipitation and temperature indicate that the effects of accumulated errors were ignored for the corresponding month and station.</p>
[Suplemental Materials] Accuracy of bird identifications in citizen science data: a quantification of errors using photographic records
<p><strong>Supporting Information</strong></p> <p><strong>Appendix S1</strong>. The full dataset used in this study with a reproducible R code to perform data quality and network analyses. </p> <p><strong>Appendix S2</strong>. All species ranking of identification accuracy of photo reports submitted to eBird in Argentina. The ranking is first ordered by the minimum value found for either precision and recall scores, and second by the number of samples analyzed for each species. Species that were tagged as difficult to identify are indicated as ‘TRUE’ in column D named ‘hard_to_id’.</p> <p><strong>Appendix S3</strong>. High-resolution network (Html file).</p>
Accuracy of bird identifications in citizen science data: a quantification of errors using photographic records [R code]
<p><strong>Appendix S1</strong>. The full dataset used in this study with a reproducible R code to perform data quality and network analyses. R code archived to Zenodo for publication. </p>
msd-errors - Data for AgCrSe2 figures
Data for the figures Results of the analysis of AgCrSe2 systems by kinisi at a series of temperatures.<br><br>Created using <a href="https://github.com/rodluger/showyourwork">showyourwork</a> from <a href="git@github.com:arm61/msd-errors/tree/56fb2caf0e78a22d0acc1b937c097cebbf5e915f">this GitHub repo</a>.<br>
Theoretical Design of Optimal Molecular Qudits for Quantum Error Correction. Open data set
<p>Data supporting the original figures 1, 2, 3 and 4 of the related publication.</p>
Distribution. NC Vietnam (Quang Binh and Quang Tri province), and EC Laos (Khammouane Province). The records in other Vietnamese provinces (Nghe An, Thu Thien Hue, Gia Lai, Phu Yen) are errors. in Cercopithecidae
Distribution. NC Vietnam (Quang Binh and Quang Tri province), and EC Laos (Khammouane Province). The records in other Vietnamese provinces (Nghe An, Thu Thien Hue, Gia Lai, Phu Yen) are errors.
Characterizing quantum instruments: from non-demolition measurements to quantum error correction
<p>Source data underlying the graphical representations used in the figures.</p>
Data from: Detecting macroevolutionary genotype-phenotype associations using error-corrected rates of protein convergence
<p><span>On macroevolutionary timescales, extensive mutations and phylogenetic uncertainty mask the signals of genotype-phenotype associations underlying convergent evolution. To overcome this problem, we extended the widely used framework of nonsynonymous-to-synonymous substitution rate ratios and developed the novel metric <em>ω<sub>C</sub></em>, which measures the error-corrected convergence rate of protein evolution. While </span><span><em>ω<sub>C</sub></em></span><span> distinguishes natural selection from genetic noise and phylogenetic errors in simulation and real examples, its accuracy allows an exploratory genome-wide search of adaptive molecular convergence without phenotypic hypothesis or candidate genes. Using gene expression data, we explored over 20 million branch combinations in vertebrate genes and identified the joint convergence of expression patterns and protein sequences with amino acid substitutions in functionally important sites, providing hypotheses on undiscovered phenotypes. We further extended our method with a heuristic algorithm to detect highly repetitive convergence among computationally nontrivial higher-order phylogenetic combinations. Our approach allows bidirectional searches for genotype-phenotype associations, even in lineages that diverged for hundreds of millions of years.</span></p>
FIGURE 1 in On identification errors in Scytalopus speluncae (Ménétriés) and S. pachecoi Maurício from southern Brazil with new data on distribution and biogeography of these taxa (Aves: Rhinocryptidae)
FIGURE 1. Specimens of tapaculos from southern Brazil with disputed identification. Above, adult male of Scytalopus pachecoi (MHNCI 5491) previously wrongly identified as S. speluncae. Below, immature male of S. speluncae (MHNCI 3452) erroneously identified as S. pachecoi by other authors. The white arrow points to the upper primary coverts and alula, which are light brown/buff with a wide blackish stripe along the feather shaft, a condition characteristic of young S. speluncae and never present in S. pachecoi.
FIGURE 2 in On identification errors in Scytalopus speluncae (Ménétriés) and S. pachecoi Maurício from southern Brazil with new data on distribution and biogeography of these taxa (Aves: Rhinocryptidae)
FIGURE 2. Global distributions of S. speluncae (dark gray) and S. pachecoi (light gray) based on published records, mainly from Maurício et al. (2010, 2014). Dotted ellipse-like line encircles a small area where the two species are sympatric. Scytalopus speluncae: 1 = R. L. Taborda; 2 = Limoeiro. Scytalopus pachecoi: 3 = Fazenda Tunas; 4 = Fazenda Mangueira de Pedra (see text for details). Abbreviations for Brazilian states: RS, Rio Grande do Sul; SC, Santa Catarina; PR, Paraná; SP, São Paulo; RJ, Rio de Janeiro; ES, Espírito Santo; MG, Minas Gerais; MS, Mato Grosso do Sul; for other countries (in bold font): URU, Uruguay; ARG, Argentina; PAR, Paraguay.
Data files for SWOT correlated error analysis
Open the record for dataset details and reuse information.
Defining error accumulation in ML atmospheric simulators
<p>Processed used in the paper for NWP experiments. For the training set, we provide a snapshot.</p>
Detecting and Handeling Sensors Errors in Stormwater Detention Ponds
<p>This is a bachelor project written by software students at Aalborg university.<br><br>It is a python project for analysing experiment data with introduced faults.<br>Read the README.md inside the .zip file. </p>
Evaluating the Capability of LLMs in Identifying Compilation Errors in Configurable Systems
<p>This dataset contains the log files of the queries performed on the LLMs, executed in the publication Albuquerque et al. 2024 (SBES-IIER 2024).</p>
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.