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261 results for “Research assessment”
Figure 5 from: Klein A (2016) Crowdsourcing voice editing and quality assessment of data collected from the largest mobile phone-based research study of Parkinson disease. Research Ideas and Outcomes 2: e8848. https://doi.org/10.3897/rio.2.e8848
Figure 5 - DARPA-funded seedling project. This schematic represents our DARPA-funded seedling project to assess the feasibility of collecting phone voice recordings from PD patients for use in a competition.
Figure 4 from: Klein A (2016) Crowdsourcing voice editing and quality assessment of data collected from the largest mobile phone-based research study of Parkinson disease. Research Ideas and Outcomes 2: e8848. https://doi.org/10.3897/rio.2.e8848
Figure 4 - Audio recording annotation tool – Step 3: Rating. Following Figures 2 and 3, here the Worker rates how serious the problem is that is affecting the highlighted segment of the recording. In this example, the Worker indicates that the background noise (wind) is not good, but that it doesn't interfere with his/her ability to hear the voice in the recording.
Figure 7 from: Klein A (2016) Crowdsourcing voice editing and quality assessment of data collected from the largest mobile phone-based research study of Parkinson disease. Research Ideas and Outcomes 2: e8848. https://doi.org/10.3897/rio.2.e8848
Figure 7 - Example mPower patient voice data. In the mPower app, PD patients are prompted to perform the voice activity three times per day: once before taking their medication, a second time when they feel they are at their best after taking their medication, and a third "random" time. This figure shows example voice data for a single patient on medication (top) and at a "random" time, very likely off medication (bottom). On the left are waveforms, showing the acoustic voice signal over time (0-10 seconds), from which one can clearly see that the patient's voice trailed off to a minimum (bottom left) compared to after medication (top left). On the right are spectrograms, representing signal amplitude at different frequencies (0-5 kHz) over time (0-10 seconds). The spectrogram after medication (top right) has more uniform frequency bands across the recording compared to the rather "muddled" spectrogram recorded at the random time (bottom right).
Figure 3 from: Klein A (2016) Crowdsourcing voice editing and quality assessment of data collected from the largest mobile phone-based research study of Parkinson disease. Research Ideas and Outcomes 2: e8848. https://doi.org/10.3897/rio.2.e8848
Figure 3 - Audio recording annotation tool – Step 2: Annotation. Following Figure 2, here the Worker selects one or more categories describing why the highlighted segment in the audio waveform is problematic. In this example, there was a lot of background noise (wind).
Figure 6 from: Klein A (2016) Crowdsourcing voice editing and quality assessment of data collected from the largest mobile phone-based research study of Parkinson disease. Research Ideas and Outcomes 2: e8848. https://doi.org/10.3897/rio.2.e8848
Figure 6 - Android and iOS Parkinson app screenshots. Top: Android PD app screenshots showing instructions for the phonation (voice) task. Bottom: mPower PD app screenshots. Each participant in the mPower study is prompted to perform a voice activity three times a day. The rightmost screenshot demonstrates the visual feedback that is provided during audio recording, to try to keep the voice at the best amplitude for recording.
Supplementary material 6 from: Herrera-Mesías F, Ep Jarboui IK, Weigand AM (2022) A metabarcoding framework for wild bee assessment in Luxembourg. Journal of Hymenoptera Research 94: 215-246. https://doi.org/10.3897/jhr.94.84617
Mock community metabarcoding results
Supplementary material 2 from: Herrera-Mesías F, Ep Jarboui IK, Weigand AM (2022) A metabarcoding framework for wild bee assessment in Luxembourg. Journal of Hymenoptera Research 94: 215-246. https://doi.org/10.3897/jhr.94.84617
Mean wild bee genus penalty scores sorted by primer pair
Supplementary material 4 from: Herrera-Mesías F, Ep Jarboui IK, Weigand AM (2022) A metabarcoding framework for wild bee assessment in Luxembourg. Journal of Hymenoptera Research 94: 215-246. https://doi.org/10.3897/jhr.94.84617
Tagged primer combinations used in the mock community experiment
Supplementary material 9 from: Herrera-Mesías F, Ep Jarboui IK, Weigand AM (2022) A metabarcoding framework for wild bee assessment in Luxembourg. Journal of Hymenoptera Research 94: 215-246. https://doi.org/10.3897/jhr.94.84617
Primer pair amplification success rates based on Linnaean species
Supplementary material 5 from: Herrera-Mesías F, Ep Jarboui IK, Weigand AM (2022) A metabarcoding framework for wild bee assessment in Luxembourg. Journal of Hymenoptera Research 94: 215-246. https://doi.org/10.3897/jhr.94.84617
Overiew of MOTU data per mock community
Supplementary material 8 from: Herrera-Mesías F, Ep Jarboui IK, Weigand AM (2022) A metabarcoding framework for wild bee assessment in Luxembourg. Journal of Hymenoptera Research 94: 215-246. https://doi.org/10.3897/jhr.94.84617
In silico primer performance evaluation using PrimerMiner with MOTU data sorted by wild bee genus
Supplementary material 3 from: Thanoosing C, Orr MC, Warrit N, Vogler AP, Williams PH (2023) A taxonomic re-assessment of the widespread oriental bumblebee Bombus flavescens (Hymenoptera, Apidae). Journal of Hymenoptera Research 96: 507-541. https://doi.org/10.3897/jhr.96.104715
Primer testing with gradient annealing temperatures
Supplementary material 2 from: Thanoosing C, Orr MC, Warrit N, Vogler AP, Williams PH (2023) A taxonomic re-assessment of the widespread oriental bumblebee Bombus flavescens (Hymenoptera, Apidae). Journal of Hymenoptera Research 96: 507-541. https://doi.org/10.3897/jhr.96.104715
Primer testing
Supplementary material 7 from: Thanoosing C, Orr MC, Warrit N, Vogler AP, Williams PH (2023) A taxonomic re-assessment of the widespread oriental bumblebee Bombus flavescens (Hymenoptera, Apidae). Journal of Hymenoptera Research 96: 507-541. https://doi.org/10.3897/jhr.96.104715
Ancestral area reconstruction model selection, estimated in BioGeoBEARS
Supplementary material 4 from: Thanoosing C, Orr MC, Warrit N, Vogler AP, Williams PH (2023) A taxonomic re-assessment of the widespread oriental bumblebee Bombus flavescens (Hymenoptera, Apidae). Journal of Hymenoptera Research 96: 507-541. https://doi.org/10.3897/jhr.96.104715
Polymerase chain reaction temperature profile of different pairs of primers in this study
FIGURE 5 in The genus Tibicina Kolenati, 1857 in Morocco (Hemiptera: Cicadidae: Tibicininae): taxonomic assessment from integrative research
FIGURE 5. Male of T. q. pilleti Puissant ssp. n. in calling posture.
Active Surveillance Research Program for the Assessment of the Safety and the Effectiveness of Linagliptin
ClinicalTrials.gov study NCT02197078. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Research Study To Assess The Effectiveness And Safety Of Different Doses Of Oral PF-00489791 In The Treatment Of Adult Patients With Pulmonary Arterial Hypertension
ClinicalTrials.gov study NCT00853112. IPD Sharing: Not stated. Countries: 8. Publications: 0.
Research on Risk Assessment and Early Warning Models for Adverse Clinical Outcomes in Critically Ill Patients
ClinicalTrials.gov study NCT07317817. IPD Sharing: NO. Countries: 1. Publications: 0.
Real-world Research : Assessment of Effect of Combination of Drugs in the Treatment of Heart Failure
ClinicalTrials.gov study NCT06158711. IPD Sharing: YES. Countries: 0. Publications: 9.
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.