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122 results for “confounding”
Figure 10 from: Schmid J, Huemer P (2021) Unraveling a complex problem: Dichrorampha velata sp. nov., a new species from the Alps hitherto confounded with D. alpestrana ([Zeller], 1843) sp. rev. = D. montanana (Duponchel, 1843) syn. nov. (Lepidoptera, Tortricidae). Alpine Entomology 5: 37-54. https://doi.org/10.3897/alpento.5.67498
Figure 10 Dichrorampha velata sp. nov., holotype, male genitalia.
Figures 32-37 from: Schmid J, Huemer P (2021) Unraveling a complex problem: Dichrorampha velata sp. nov., a new species from the Alps hitherto confounded with D. alpestrana ([Zeller], 1843) sp. rev. = D. montanana (Duponchel, 1843) syn. nov. (Lepidoptera, Tortricidae). Alpine Entomology 5: 37-54. https://doi.org/10.3897/alpento.5.67498
Figures 32-37 Dichrorampha alpestrana, male genitalia, variation in phallus; all: CH-La Punt GR
Figure 47 from: Schmid J, Huemer P (2021) Unraveling a complex problem: Dichrorampha velata sp. nov., a new species from the Alps hitherto confounded with D. alpestrana ([Zeller], 1843) sp. rev. = D. montanana (Duponchel, 1843) syn. nov. (Lepidoptera, Tortricidae). Alpine Entomology 5: 37-54. https://doi.org/10.3897/alpento.5.67498
Figure 47 Dichrorampha velata sp. nov., female paratype, CH-Pigniu GR.
Figure 48 from: Schmid J, Huemer P (2021) Unraveling a complex problem: Dichrorampha velata sp. nov., a new species from the Alps hitherto confounded with D. alpestrana ([Zeller], 1843) sp. rev. = D. montanana (Duponchel, 1843) syn. nov. (Lepidoptera, Tortricidae). Alpine Entomology 5: 37-54. https://doi.org/10.3897/alpento.5.67498
Figure 48 Dichrorampha velata sp. nov. paratype, female genitalia,, CH-Cormoret BE, leg. Bryner.
Figure 9 from: Schmid J, Huemer P (2021) Unraveling a complex problem: Dichrorampha velata sp. nov., a new species from the Alps hitherto confounded with D. alpestrana ([Zeller], 1843) sp. rev. = D. montanana (Duponchel, 1843) syn. nov. (Lepidoptera, Tortricidae). Alpine Entomology 5: 37-54. https://doi.org/10.3897/alpento.5.67498
Figure 9 Dichrorampha velata sp. nov., holotype, adult.
Evaluation of Belimumab Impact on a BLyS Activity Signature Test in the Absence of Confounding Polypharmacy
ClinicalTrials.gov study NCT02270970. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Confounding Factors in Ocular Surface Microbiome Research
ClinicalTrials.gov study NCT04193917. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Confounding Factors of Chronic Endometritis in Women With Reproductive Failure
ClinicalTrials.gov study NCT05613049. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Physical Activity on Academic Stress While Controlling the Confounding Variables
ClinicalTrials.gov study NCT04925115. IPD Sharing: NO. Countries: 1. Publications: 0.
Confounding Factors in the Detection of Intracranial Hemorrhage With the Infrascanner
ClinicalTrials.gov study NCT02809651. IPD Sharing: NO. Countries: 1. Publications: 0.
Confounding Factors of Impedance Pneumography
ClinicalTrials.gov study NCT03408990. IPD Sharing: NO. Countries: 1. Publications: 0.
The Confounding Burden of Psychological Impairments in Cervical Spine Surgery
ClinicalTrials.gov study NCT03183713. IPD Sharing: Not stated. Countries: 1. Publications: 0.
High expression of circRNAs in muscle and stromal cell confound bulk tissue analyses in cancer research [RNA-Seq]
GEO Series GSE233529. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Barcoded monoclonal embryoids are a potential solution to confounding bottlenecks in mosaic organoid screens
GEO Series GSE291368. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
High expression of circRNAs in muscle and stromal cell confound bulk tissue analyses in cancer research
GEO Series GSE233800. Homo sapiens. 44 samples. Type: Expression profiling by high throughput sequencing; Expression profiling by array.
Cancer-cell intrinsic gene expression signatures minimise the confounding effects of intratumoural heterogeneity in colorectal cancer patient classification.
GEO Series GSE95109. Homo sapiens. 72 samples. Type: Expression profiling by array.
129-derived passenger mutations confound phenotype of ACKR1-deficient mice
GEO Series GSE256021. Mus musculus. 18 samples. Type: Expression profiling by array.
Addressing Motion and Confounds Issues in Resting fMRI- Application of Multi-echo EPI Scanning
ClinicalTrials.gov study NCT02720562. IPD Sharing: Not stated. Countries: 0. Publications: 0.
High expression of circRNAs in muscle and stromal cell confound bulk tissue analyses in cancer research [NanoString]
GEO Series GSE233799. Homo sapiens. 36 samples. Type: Expression profiling by array.
Linkage of genetic drivers and strain-specific germline variants confound mouse cancer genome analyses
GEO Series GSE154537. Mus musculus. 4 samples. Type: Expression profiling by array.
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.