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40,091 results for “records”
FIG. 8 in Five new records and two new reports of Cotoneaster Medik. (Rosaceae) for the Flora of Iran
FIG. 8. — Cotoneaster insignis Pojark. leaves and fruits outline (A) and close up (B). Collection number: Attar, Raei Niaki & Zamani 37454 (TUH); determined by Raei Niaki & Attar.
FIG. 6 in Five new records and two new reports of Cotoneaster Medik. (Rosaceae) for the Flora of Iran
FIG. 6. — Cotoneaster ellipticus (Lindl.) Hort ex Loudon outline (A) and close up of leaves (B) and fruit (C). Collection number: Memariani, Zangooei & Arjmandi 43358 (FUMH); determined by Raei Niaki & Attar.
FIG. 3. — Cotoneaster minutus G in Five new records and two new reports of Cotoneaster Medik. (Rosaceae) for the Flora of Iran
FIG. 3. — Cotoneaster minutus G.Klotz leaves and fruits outline (A) and close up (B). Collection number: Memariani & Arjmandi 44626 (FUMH); determined by Raei Niaki & Attar.
FIG. 5. — Cotoneaster aitchisonii C.K in Five new records and two new reports of Cotoneaster Medik. (Rosaceae) for the Flora of Iran
FIG. 5. — Cotoneaster aitchisonii C.K.Schneid. outline (A) and close up of leaves (B) and fruit (C). Collection number: Memariani, Zangooei & Arjmandi 43351 (FUMH); determined by Raei Niaki & Attar.
FIG. 1 in Five new records and two new reports of Cotoneaster Medik. (Rosaceae) for the Flora of Iran
FIG. 1. — Map showing location of new records and reports of Cotoneaster species in Irano-Turanian (green symbols) and ecotones between Irano-Turanian and Eurosiberian regions (blue symbols).
FIG. 4. — Cotoneaster afghanicus G in Five new records and two new reports of Cotoneaster Medik. (Rosaceae) for the Flora of Iran
FIG. 4. — Cotoneaster afghanicus G.Klotz leaves and fruits outline (A) and close up (B). Collection number: Faghihnia & Zangooei 27111 (FUMH); determined by Raei Niaki & Attar.
UAV ESD Noise Recording with HEIST
<p>Data recordings using HEIST while UAV is exposed to ESD.</p> <p>https://github.com/MaSkr09/heist_datalog.git</p>
Magnetic Induced Injection on a UAV Recorded using HEIST
<p>Test on for inducing 13.56 MHz EMI into a UAV. The noise is recorded using HEIST.</p> <p>https://github.com/MaSkr09/heist_datalog.git</p>
UAV exposed to Ultra Bandwidth Noise Recorded using HEIST
<p>Noise was recorded on an SBUS communication link on a UAV while exposed to UWB noise. HEIST is recording the data using an FPGA.</p> <p> </p> <p>https://github.com/MaSkr09/heist_datalog.git</p>
Burst Noise Injection through Antenna Recorded on a UAV at Logic Level using HEIST
<p>A UAV exposed to burst noise injected through an antenna. The noise is recorded at logic level using HEIST.</p> <p> </p> <p>https://github.com/MaSkr09/heist_datalog.git</p>
Hippocampal CA1 pyramidal cell membrane voltage recorded in response to noise stimuli at two temperatures.
<p>Electrophysiological recording of the membrane voltage (whole-cell patch-clamp) of three hippocampal CA1 pyramidal cells. Cells are stimulated with a current step chosen to ensure a firing rate around 5-10Hz (amplitude of the current step is given in the filenames) and a noise stimulus with zero mean (Ornstein-Uhlenbeck process with 4ms timescale). Each CSV file contains three columns, the timepoints (saved at 10000Hz), the noise stimulus, and the voltage trace recorded in response to the given noise stimulus. Voltages are recorded at low temperatures (around 32 degrees Celsius) and at high temperatures (around 37 degrees Celsius for cell 1, around 40 degrees Celsius for cells 2 and 3), exact temperatures are given in the filenames. The file metadata.csv contains additional information.</p>
Fig. 3 in New species and records of Quedius rove beetles (Coleoptera, Staphylinidae, Staphylininae) from Middle Asia
Fig. 3. Quedius viator sp. nov., holotype (ZIN). A. Habitus. B–D. Aedeagus. B. From parameral side. C. Apical portion of paramere (underside). D. Lateral view. E. Sternite VIII. F. Tegite X. G. Sternite IX. Scale bars: A = 1 mm; B–G = 0.5 mm..
Fig. 2 in New species and records of Quedius rove beetles (Coleoptera, Staphylinidae, Staphylininae) from Middle Asia
Fig. 2. Distribution map showing the type localities of Quedius gissaricus sp. nov. (red circle) and Q. viator sp. nov. (violet circle).
Fig. 1 in New species and records of Quedius rove beetles (Coleoptera, Staphylinidae, Staphylininae) from Middle Asia
Fig. 1. Quedius gissaricus sp. nov., holotype (ZIN). A. Habitus (interocular punctures indicated by red arrows). B–D. Aedeagus. B. From parameral side. C. Apical portion of paramere (underside). D. Median lobe (laterally). E. Sternite VIII. Scale bars: A =1 mm; B–E = 0.5 mm.
Fig. 2 in The genus Drymeia Meigen, 1826 (Diptera: Muscidae) in Kyrgyzstan: new records and new species
Fig. 2. Angelica brevicaulis (Rupr.) covered with muscoid flies at Kalmak-Anshun Pass, Kyrgyzstan. Photo: J. Ziegler (Berlin, Germany).
Fig. 5 in The genus Drymeia Meigen, 1826 (Diptera: Muscidae) in Kyrgyzstan: new records and new species
Fig. 5. The type-locality of Drymeia ziegleri sp. nov. (Kyrgyzstan, Kalmak-Anshun Pass). Photo: J. Ziegler (Berlin, Germany).
Fig. 4 in The genus Drymeia Meigen, 1826 (Diptera: Muscidae) in Kyrgyzstan: new records and new species
Fig. 4. Drymeia ziegleri sp. nov., ♂, holotype (ZMHU), lateral view. Photo: K. Child (UK, formerly OUMNH).
Searching records on Oasisbr
<p>Data generated in the context of research over recovering information in a specific field (Arts) on Oasisbr < https://oasisbr.ibict.br/ >.</p>
Dataset of Violin Recordings with Spherical Microphone Arrays
<p>This data set contains simultaneous recordings of violin instrument sounds by multiple Spot microphones placed on a spherical skeleton.<br> There are 32 Spot microphones, recorded in 23 different ways of expression.</p> <p>Microphone ID</p> <p>Top Layer<br> 32<br> 27-28-29-30-31<br> 22-23-24-25-26<br> 17-18-19-20-21<br> 12-13-14-15-16<br> 7-8-9-10-11<br> 2-3-4-5-6<br> 1<br> Bottom Layer</p> <p> </p>
Ambient temperature CiPA dynamic hERG protocol dataset recorded on the SyncroPatch 384SE
<p><strong>Abstract </strong></p> <p>The Comprehensive in vitro Proarrhythmic Assay (CiPA) has promoted use of <em>in silico</em> models of drug effects on cardiac repolarization to improve proarrhythmic risk prediction. These models contain a pharmacodynamic component describing drug binding to hERG channels that required <em>in vitro</em> data for kinetics of block, in addition to potency, to constrain them. To date, development and validation has been undertaken using data from manual patch-clamp. The application of this approach at scale requires the development of a high-throughput, automated patch-clamp (APC) implementation. Here, we present a comprehensive analysis of the implementation of the Milnes, or CiPA dynamic protocol, on an APC platform, including quality control and data analysis. Kinetics and potency of block were assessed for bepridil, cisapride, terfenadine and verapamil with data retention/QC pass rate of 21.8% overall, or as high as 50.4% when only appropriate sweep lengths were considered for drugs with faster kinetics. The variability in IC<sub>50</sub> and kinetics between manual and APC was comparable to that seen between sites/platforms in previous APC studies of potency. Whilst the experimental success is less than observed in screens of potency alone, it is still significantly greater than manual patch. With the modifications to protocol design, including sweep length, number of repetitions, and leak correction recommended in this study, this protocol can be applied on APC to acquire data comparable to manual patch clamp.</p> <p><strong>Description</strong></p> <p>High-throughput patch clamp electrophysiology dataset acquired on Nanion SyncroPatch 384PE platform describing the potency and kinetics of drug block of hERG channels stably expressed in CHO cells. The voltage protocols used were 10 or 40 s 0mV steps with a 15s, -80mV inter-pulse intervals, repeated 5 or 10 times in the absence (control) and presence of drug. Drug was added and cells clamped at -80 mV for 4 minutes prior to recording to ensure drug equilibration prior to recording the onset (kinetics) of drug block. This dataset accompanies the paper titled '<strong>High throughput measurement of hERG drug block kinetics using the CiPA dynamic protocol' </strong>by Monique J. Windley, Jessica Farr, Clifford TeBay, Jamie I. Vandenberg and Adam P. Hill<strong>. </strong></p> <p><strong>File information</strong></p> <p>Raw and leak corrected files for individual plates run on the SyncroPatch 384PE</p> <p><strong>Folder naming convention</strong>: Plate identifier (6 digit date_user initials_plate number)_type of data (leak uncorrected raw / leak corrected).</p> <ul> </ul> <p><strong>Raw data </strong></p> <ul> <li><strong>File naming convention: </strong>Plate identifier (6 digit date_user initials_plate number)_well number</li> <li>Each raw data folder also contains a file named QC_plate identifier no. which contains information used for cell/patch and hERG current quality controls including seal resistance, series resistance, capacitance, baseline (average current at -80mV), average (average leak uncorrected current during last 100 ms of 0mV step). QC details are reported for each sweep along with the drug and concentration, with external and 0 M reported for control sweeps.</li> <li>Full SyncroPatch plates were not used for all runs, only applicable wells were included where partial plates were run (see plates 240719_MW1-3, 170719_MW1-3, 180719_MW1 and 291119_MW1)</li> </ul> <p><strong>Leak corrected data</strong></p> <ul> <li><strong>File naming convention:</strong> well number_drug_concentration in M_leak_correction</li> <li>Refer to folder for plate identifier number.</li> <li>Each folder containing leak corrected data also contains a file labelled 'percent block' which contains percentage block measurements for each leak correction file in the same folder as identified by the well number.</li> <li>Only files passing the first pass QC were leak corrected (>125 MOhm seal, <80 MOhm series, 10-200 pA capacitance, >-300 pA baseline, >50 pA hERG current size and <20% change in peak control current)</li> </ul> <p> </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.