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86 results for “rapid identification”

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zenodo32/100

FIG. 1 in Morphological Change during Rapid Population Expansion Confounds Leopard Frog Identifications in the Southwestern United States

FIG. 1. Types of dorsolateral folds observed in Rana berlandieri and Rana yavapaiensis. These representations depict the right dorsolateral folds. The color of the medially inset, posterior folds (states 1–6) indicate similarity of the tissue to the primary dorsolateral folds (see text for more information). Black depicts posterior folds that are similar in appearance to the primary fold, and lighter shades of gray indicate skin features that are less pronounced than the raised, glandular tissue of the primary folds. State 1 is typical of R. berlandieri across its native range, and state 5 is typical of R. yavapaiensis. Modeled after Pace (1974: fig. 23).

opennotspecifiedMay 2020View details →
zenodo32/100

FIG. 5 in Morphological Change during Rapid Population Expansion Confounds Leopard Frog Identifications in the Southwestern United States

FIG. 5. Majority rule consensus tree of the posterior distribution of trees from the Bayesian analysis of the concatenated alignment (two mitochrondrial and four nuclear markers, with the model of evolution for each marker specified in Table 1). Individuals with uncertain species identification are shown in bold. Numbers below nodes are estimated posterior probabilities. See Data Accessibility for tree file.

opennotspecifiedMay 2020View details →
zenodo32/100

Rapid Flood Simulation and Source Area Identification in Urban Environments via Interpretable Deep Learning

<p>Here is the data and original code for the paper titled <em>Rapid Flood Simulation and Source Area Identification in Urban Environments via Interpretable Deep Learning</em>. If you have any questions, please contact <a rel="noopener">202331470015@mail.bnu.edu.cn</a>.</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Rapid Flood Simulation and Source Area Identification in Urban Environments via Interpretable Deep Learning

<p>Here are the relevant data and preliminary code for the paper titled 'Rapid Flood Simulation and Source Area Identification in Urban Environments via Interpretable Deep Learning' for your reference. If you have any questions, please contact <a rel="noopener">202331470015@mail.bnu.edu.cn</a>.</p>

opencc-by-4.0Sep 2024View details →
dryad32/100

Data from: Rapid species-level identification of vaginal and oral lactobacilli using MALDI-TOF MS analysis and 16S rDNA sequencing

Background: Lactobacillus represents a large genus with different implications for the human host. Specific lactobacilli are considered to maintain vaginal health and to protect from urogenital infection. The presence of Lactobacillus species in carious lesions on the other hand is associated with progressive caries. Despite their clinical significance, species-level identification of lactobacilli still poses difficulties and mostly involves a combination of different phenotypic and genotypic methods. This study evaluated rapid MALDI-TOF MS analysis of vaginal and oral Lactobacillus isolates in comparison to 16S rDNA analysis. Results: Both methods were used to analyze 77 vaginal and 21 oral Lactobacillus isolates. The concordance of both methods was at 96% with five samples discordantly identified. Fifteen different Lactobacillus species were found in the vaginal samples, primarily L. iners, L. crispatus, L. jensenii and L. gasseri. In the oral samples 11 different species were identified, mostly L. salivarius, L. gasseri, L. rhamnosus and L. paracasei. Overall, the species found belonged to six different phylogenetic groups. For several samples, MALDI-TOF MS analysis only yielded scores indicating genus-level identification. However, in most cases the species found agreed with the 16S rDNA analysis result. Conclusion: MALDI-TOF MS analysis proved to be a reliable and fast tool to identify lactobacilli to the species level. Even though some results were ambiguous while 16S rDNA sequencing yielded confident species identification, accuracy can be improved by extending reference databases. Thus, mass spectra analysis provides a suitable method to facilitate monitoring clinically relevant Lactobacillus species.

opencc-zeroDec 2014View details →
ClinicalTrials.gov32/100

Evaluation of CRISPR-based Test for the Rapid Identification of TB in Pulmonary Tuberculosis Suspects

ClinicalTrials.gov study NCT04074369. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Impact of Rapid Pathogen Identification From Blood Cultures (RABbIT)

ClinicalTrials.gov study NCT02743585. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Clinical Impact of Rapid Identification of Positive Blood Cultures vs. Internal Laboratory Standard

ClinicalTrials.gov study NCT04156633. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Intra-operative Rapid Identification of Lymph Node and Parathyroid

ClinicalTrials.gov study NCT03268785. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Reducing Duration of Untreated Psychosis Through Rapid Identification and Engagement

ClinicalTrials.gov study NCT02841956. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Evaluation of Xpert MTB/RIF Assay for the Rapid Identification of TB and TB Rifampin Resistance in Pulmonary Tuberculosis Suspects

ClinicalTrials.gov study NCT01587469. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Data from: Rapid species-level identification of vaginal and oral lactobacilli using MALDI-TOF MS analysis and 16S rDNA sequencing

Open the record for dataset details and reuse information.

publicNov 2015View details →
dryad32/100

A comparative analysis of analytical techniques for rapid oil spill identification

Open the record for dataset details and reuse information.

publicFeb 2021View details →
dryad32/100

Rapid and accurate species identification for ecological studies and monitoring using CRISPR-based SHERLOCK

Open the record for dataset details and reuse information.

publicApr 2020View details →
dryad32/100

Data from: Rapid identification of chloroplast haplotypes using High-Resolution Melting analysis

Open the record for dataset details and reuse information.

publicMay 2012View details →
dryad28/100

Data from: Rapid species level identification of fish eggs by proteome fingerprinting using MALDI-TOF MS

<p>Quantifying spawning biomass of commercially relevant fish species is important to generate fishing quotas. This will mostly rely on the annual or daily production of fish eggs. However, these have to be identified precisely to species level to obtain a reliable estimate of offspring production of the different species. Because morphological identification can be very difficult, recent developments are heading towards application of molecular tools. Methods such as COI barcoding have long handling times and cause high costs for single specimen identifications. In order to test MALDI-TOF MS, a rapid and cost-effective alternative for species identification, we identified fish eggs using COI barcoding and used the same specimens to set up a MALDI-TOF MS reference library. This library, constructed from two different MALDI-TOF MS instruments, was then used to identify unknown eggs from a different sampling occasion. By using a line of evidence from hierarchical clustering and different supervised identification approaches we obtained concordant species identifications for 97.5% of the unknown fish eggs, proving MALDI-TOF MS a good tool for rapid species level identification of fish eggs. At the same time we point out the necessity of adjusting identification scores of supervised methods for identification to optimize identification success.</p>

opencc-zeroSep 2020View details →
dryad28/100

Dataset of the bacterial fitness estimation values and mutation identifications from: Rapid decline of adaptation of Pseudomonas fluorescens to soil biotic environment

<p>Interactions between microbes can both constrain and enhance adaptation, but to date, most studies employ simplified communities and environments. We measured fitness of populations of the soil bacterium Pseudomonas fluorescens that have been evolved in both the presence and absence of a natural potting soil microbial community. Populations from both environments showed similar fitness increases with respect to the ancestor in the absence of the community, suggesting no significant cost of evolving with the community. By contrast, fitness in the presence of the community increased for community-evolved populations, but decreased considerably below the ancestral state for populations evolved in the absence of the community. This suggests some abiotic beneficial mutations are costly in the presence of the community, while others are not, with the former only selected against in the presence of the community. Most mutations underpinning fitness changes were clone specific, supporting the view that there are multiple genetic pathways to adaptation in this complex environment. Such extreme mutational effects have not been observed in comparable in vitro studies that employ much simpler abiotic and biotic environments, and suggest that a caution is need when extrapolating results from simplified in vitro systems to real-world contexts.</p>

opencc-zeroDec 2021View details →
zenodo28/100

Figure 9 from: Syromyatnikov MY, Golub VB, Kokina AV, Soboleva VA, Popov VN (2017) DNA barcoding and morphological analysis for rapid identification of most economically important crop-infesting Sunn pests belonging to Eurygaster Laporte, 1833 (Hemiptera, Scutelleridae). ZooKeys 706: 51-71. https://doi.org/10.3897/zookeys.706.13888

Figure 9 - Restriction fragments of COI PCR products (restriction enzyme, species): 1 AhlI, E. maura or E. testudinaria 2 AhlI, E. integriceps 3 PsiI, E. maura or E. testudinaria 4 PsiI, E. integriceps 5 Bst2UI, E. maura or E. testudinaria 6 Bst2UI, E. integriceps; M, 100 bp DNA ladder.

opencc-by-4.0Oct 2017View details →
zenodo28/100

Figure 8 from: Syromyatnikov MY, Golub VB, Kokina AV, Soboleva VA, Popov VN (2017) DNA barcoding and morphological analysis for rapid identification of most economically important crop-infesting Sunn pests belonging to Eurygaster Laporte, 1833 (Hemiptera, Scutelleridae). ZooKeys 706: 51-71. https://doi.org/10.3897/zookeys.706.13888

Figure 8 - Neighbor joining analysis of COI gene sequences from Eurygaster species. * - sequences obtained in this work.

opencc-by-4.0Oct 2017View details →
zenodo28/100

Figure 5 from: Syromyatnikov MY, Golub VB, Kokina AV, Soboleva VA, Popov VN (2017) DNA barcoding and morphological analysis for rapid identification of most economically important crop-infesting Sunn pests belonging to Eurygaster Laporte, 1833 (Hemiptera, Scutelleridae). ZooKeys 706: 51-71. https://doi.org/10.3897/zookeys.706.13888

Figure 5 - Species of the genus Eurygaster Laporte, general view: A E. integriceps (Puton) B E. maura L. C E. testudinaria (Geoffroy) D E. dilaticollis Dohrn. Specimens A–C were collected in the Voronezh Region; specimen D was from the Teberda Nature Reserve, Caucasus.

opencc-by-4.0Oct 2017View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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