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27 results for “channel measurements”
Functional Trait Measurements of Macroalgal Communities in the Santa Barbara Channel
This dataset contains trait and elemental composition data for macroalgal samples collected across depth gradients at multiple sites in the Santa Barbara Channel, California. Each sample represents an individual specimen characterized by morphological measurements (e.g., blade thickness, stipe diameter, total height), biomass of anatomical parts (blade, stipe, holdfast, reproductive tissue), and anchoring strength. In addition, biochemical traits—including carbon (C), nitrogen (N), and hydrogen (H) content—were measured from tissue samples analyzed in the analytical laboratory. These data support a trait-based modeling approach to macroalgal community structure and distribution, contributing to our understanding of functional diversity and ecosystem dynamics in temperate marine systems. Accompanying metadata include collection site, date, time, depth, location coordinates, and substrate type, providing context for environmental variation across samples.
Measurement-based MIMO channel model at 140GHz
<p><strong>1. Introduction</strong></p> <p>The file “gen_dd_channel.zip” is a package of a wideband multiple-input multiple-output (MIMO) stored radio channel model at 140 GHz in indoor hall, outdoor suburban, residential and urban scenarios. The package consists of 1) measured wideband double-directional multipath data sets estimated from radio channel sounding and processed through measurement-based ray-launching and 2) MATLAB code sets that allows users to generate wideband MIMO radio channels with various antenna array types, e.g., uniform planar and circular arrays at link ends.</p> <p><strong>2. What does this package do?</strong></p> <p><em>Outputs of the channel model</em></p> <p>The MATLAB file “ChannelGeneratorDD_hexax.m” gives the following variables, among others. The .m file also gives optional figures illustrating antennas and radio channel responses.</p> <table> <tbody> <tr> <td> <p>Variables</p> </td> <td> <p>Descriptions</p> </td> </tr> <tr> <td> <p><em>CIR</em></p> </td> <td> <p>MIMO channel impulse responses</p> </td> </tr> <tr> <td> <p><em>CFR</em></p> </td> <td> <p>MIMO channel frequency responses</p> </td> </tr> </tbody> </table> <p><em>Inputs to the channel model</em></p> <p>In order for the MATLAB file “ChannelGeneratorDD_hexax.m” to run properly, the following inputs are required.</p> <table> <tbody> <tr> <td> <p>Directory</p> </td> <td> <p>Descriptions</p> </td> </tr> <tr> <td> <p>data_030123_double_directional_paths</p> </td> <td> <p>Double-directional multipath data, measured and complemented by ray-launching tool, for various cellular sites.</p> </td> </tr> </tbody> </table> <p><em>User’s parameters</em></p> <p>When using “ChannelGeneratorDD_hexax.m”, the following choices are available.</p> <table> <tbody> <tr> <td> <p>Features</p> </td> <td> <p>Choices</p> </td> </tr> <tr> <td> <p>Channel model types for transfer function generation</p> </td> <td> <ul> <li> <p>'<em>snapshot</em>': single time sample per link = static, random phase for each path, amplitude from measurements</p> </li> <li>'<em>virtualMotion</em>': Doppler shifts & temporal fading, static propagation parameters, random phase for each path, amplitude from measurements, Doppler frequency per path from AoA and velocity vector</li> </ul> </td> </tr> <tr> <td> <p>Antenna / beam shapes</p> </td> <td> <ul> <li> <p>'<em>single3GPP</em>': single antenna element with power pattern shape defined in 3GPP, adjustable HPBW etc.</p> </li> <li> <p>'<em>URA</em>': uniform rectangular array, omni-directional elements</p> </li> <li>'<em>UCA</em>': uniform circular array, omni-directional elements</li> </ul> </td> </tr> </tbody> </table> <p><strong>List of files in the dataset</strong></p> <p><em>MATLAB codes that implement the channel model</em></p> <p>The MATLAB files consist of the following files.</p> <table> <tbody> <tr> <td> <p>File and directory names</p> </td> <td> <p>Descriptions</p> </td> </tr> <tr> <td> <p>readme_100223.txt</p> </td> <td> <p>Readme file; please read it before using the files</p> </td> </tr> <tr> <td> <p>ChannelGeneratorDD_hexax.m</p> </td> <td> <p>Main code to run; a code to integrate antenna arrays and double-directional path data to derive MIMO radio channels. No need to see/edit other files.</p> </td> </tr> <tr> <td> <p>gen_pathDD.m, randl.m, randLoc.m</p> </td> <td> <p>Sub-routines used in ChannelGeneratorDD_hexax.m; no need of modifications.</p> </td> </tr> <tr> <td> <p>Hexa-X channel generator DD_presentation.pdf</p> </td> <td> <p>User manual of ChannelGeneratorDD_hexax.m.</p> </td> </tr> </tbody> </table> <p> </p> <p><em>Measured multipath data</em></p> <p>The directory "data_030123_double_directional_paths" in the package contains the following files.</p> <table> <tbody> <tr> <td> <p>Filenames</p> </td> <td> <p>Descriptions</p> </td> </tr> <tr> <td> <p>readme_100223.txt</p> </td> <td> <p>Readme file; please read it before using the files</p> </td> </tr> <tr> <td> <p>RTdata_[<em>scenario</em>]_[<em>date</em>].mat</p> </td> <td> <p>Containing double-directional multipath parameters at 140 GHz in the specified scenario, estimated from radio channel sounding and ray-tracing.</p> </td> </tr> <tr> <td> <p>description_of_data_dd_[<em>scenario</em>].pdf</p> </td> <td> <p>Explaining data formats, the measurement site and sample results.</p> </td> </tr> </tbody> </table> <p><strong>References</strong></p> <p>Details of the data set are available in the following two documents:</p> <p><em>The stored channel models</em></p> <p>A. Nimr (ed.), "Hexa-X Deliverable D2.3 Radio models and enabling techniques towards ultra-high data rate links and capacity in 6G," April 2023, available: https://hexa-x.eu/deliverables/</p> <p>@misc{Hexa-XD23,<br> author = {{A. Nimr (ed.)}},<br> title = {{Hexa-X Deliverable D2.3 Radio models and enabling techniques towards ultra-high data rate links and capacity in 6G}},<br> year = {2023},<br> month = {Apr.},<br> howpublished = {https://hexa-x.eu/deliverables/},<br>}</p> <p><em>Derivation of the data, i.e., radio channel sounding and measurement-based ray-launching</em></p> <p>M. F. De Guzman and K. Haneda, "Analysis of wave-interacting objects in indoor and outdoor environments at 142 GHz," IEEE Transactions on Antennas and Propagation, vol. 71, no. 12, pp. 9838-9848, Dec. 2023, doi: 10.1109/TAP.2023.3318861</p> <p>@ARTICLE{DeGuzman23_TAP,<br> author={De Guzman, Mar Francis and Haneda, Katsuyuki},<br> journal={IEEE Transactions on Antennas and Propagation}, <br> title={Analysis of Wave-Interacting Objects in Indoor and Outdoor Environments at 142 {GHz}}, <br> year={2023},<br> volume={71},<br> number={12},<br> pages={9838-9848},<br>}</p> <p>Finally, the code “randl.m” are from the following MATLAB Central File Exchange.</p> <p>Hristo Zhivomirov (2023). Generation of Random Numbers with Laplace Distribution (https://www.mathworks.com/matlabcentral/fileexchange/53397-generation-of-random-numbers-with-laplace-distribution), MATLAB Central File Exchange. Retrieved February 15, 2023.</p> <p><strong>Data usage terms</strong></p> <p>Any usage of the data must be upon consent on the following conditions:</p> <ul> <li>The file “ChannelGeneratorDD_hexax.m” is owned by OUL. Contact: Dr. Pekka Kyösti, Pekka.Kyosti@oulu.fi.</li> <li>The other files and those in the directories, except for “randl.m”, are owned by AAU. Contact: Mr. Mar Francis de Guzman, francis.deguzman@aalto.fi.</li> <li>When a scientific paper is published that exploits the data and code, please cite this data set; the citation can be downloaded from the zenodo page of this data set.</li> </ul>
Water quality measurements, stream order, channel slope and hydraulic equations of conterminous USGS sites: 1919-2009.
Streams and rivers emit petagrams of CO2 yet there is little known about how discharge (Q) variability impacts stream CO2 at broad scales. Herein, we compiled historical water quality (including pH, alkalinity and temperature) measurements for conterminous USGS sites and coupled them with daily Q for this analysis (the water_quality.csv dataset, 10,822 sites). Based on this dataset, NHDplus channel slopes (NHDplus_slopeSO.csv, 24,764 sites) and hydraulic geometry equations (lm_vQ.csv, 12,854 sites), we calculated partial pressure of dissolved CO2 (pCO2), gas transfer velocity (k) and CO2 effluxes (F) for a total of 813 USGS sites across conterminous US. We derived hydrologic responses (log-linear regressions) for pCO2, k and F versus Q at each site and explored how these responses varied across stream order and different regions. Ancillary datasets provided coordinates (coor_sites.xls), hydrologic unit code (HUC.csv), and watershed area of conterminous USGS sites (watersheds_area.csv).
Seasonal high-frequency measurements of discharge, water temperature, and specific conductivity from Harnish Creek Tributary (Relict Channel) at F11, McMurdo Dry Valleys, Antarctica (1996-2020, ongoing)
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor the glacial meltwater streams in that region. This package contains data pertaining to continuous monitored water quality and quantity parameters measured with automatic recording devices on streams in this region. Specifically, this metadata record describes the hydrology data set for the McMurdo Dry Valleys' Harnish Creek Tributary (Relict Channel) at the F11 streamgage, located in the Fryxell Basin of Taylor Valley. Measurements commenced during the 1996-97 season and are ongoing. This dataset extends through the first half of the 2019-20 field season.
Daily summarized seasonal measurements of discharge, water temperature, and specific conductivity from Harnish Creek Tributary (Relict Channel) at F11, McMurdo Dry Valleys, Antarctica (1996-2020, ongoing)
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor the glacial meltwater streams in that region. This package contains daily summaries derived from 15-minute measurements of water quality and quantity parameters measured with automatic recording devices on streams in this region. Specifically, this metadata record describes the daily hydrological summaries for the McMurdo Dry Valley's Harnish Creek Tributary (Relict Channel) at F11, located in the Fryxell Basin of Taylor Valley. Measurements commenced during the 1996-97 austral summer and are ongoing. This dataset extends through the first half of the 2019-20 field season.
Text-fig. 4. a: Conglomeratic to massive sandstone facies 1, facies A are composed of Andesit (AF), Clay (CF) and Sandstone (SF) fragments lain on medium-sandstone. b: Conglomeratic to massive sandstone facies, outcropping of massive sandstone facies comprises of fine to medium grain size of grey to yellowish sandstone. c: Heterolithic sandstone-mudstone facies, intercalation of fine sand with silt and shale as type form of heterolithic sandstone mudstone as indicated by a high sand/shale ratio. d: Example outcrops of heterolithic sandstone-mudstone 2 indicated by low sand/shale ratio. e: Heterolithic fine sand and mudstone and mudstone facies, intercalation of thin sandstone and shale. f: Representative of slump deposits outcrops belong to conglomeratic to massive sandstone facies, which is indicated by the intercalation of sandstone and shale and some disturbed beds or layers as seen in slump deposits. The facies type is normally deposited within the basin floor, channel margin or as a product of the overbank deposits. In this figure the slump deposit is shown as internal bedding, some occurred on the bedding-plane. Trend slope measurement of the fold-axis revealed values N 135°E and N 108°E. in Lithofacies And Ichnofacies Of Turbidite Deposits, West Java, Indonesia
Text-fig. 4. a: Conglomeratic to massive sandstone facies 1, facies A are composed of Andesit (AF), Clay (CF) and Sandstone (SF) fragments lain on medium-sandstone. b: Conglomeratic to massive sandstone facies, outcropping of massive sandstone facies comprises of fine to medium grain size of grey to yellowish sandstone. c: Heterolithic sandstone-mudstone facies, intercalation of fine sand with silt and shale as type form of heterolithic sandstone mudstone as indicated by a high sand/shale ratio. d: Example outcrops of heterolithic sandstone-mudstone 2 indicated by low sand/shale ratio. e: Heterolithic fine sand and mudstone and mudstone facies, intercalation of thin sandstone and shale. f: Representative of slump deposits outcrops belong to conglomeratic to massive sandstone facies, which is indicated by the intercalation of sandstone and shale and some disturbed beds or layers as seen in slump deposits. The facies type is normally deposited within the basin floor, channel margin or as a product of the overbank deposits. In this figure the slump deposit is shown as internal bedding, some occurred on the bedding-plane. Trend slope measurement of the fold-axis revealed values N 135°E and N 108°E.
Channel Measurements from Sitarjevec Mine for Propagation Modelling in a Cave Environment
<p>The dataset contains data collected during a measurement campaign using the <a href="https://www.qorvo.com/products/p/DW1000">DecaWave1000 </a>UWB pulse radio module in the <a href="https://rudniksitarjevec.si/en">Sitarjevec</a> mine in Litija, Slovenia. </p> <p>The measurements include complex channel impulse responses (CIRs) collected for 40 predefined positions with the following system parameters:</p> <ul> <li><strong>CONF1:</strong> Channel 4, DataRate 110, PRFR 16, PreambleLenght 4096, PreambleCode 7;</li> <li><strong>CONF2: </strong>Channel 4, DataRate 110, PRFR 64, PreambleLenght 4096, PreambleCode 17;</li> <li><strong>CONF3: </strong>Channel 7, DataRate 110, PRFR 16, PreambleLenght 4096, PreambleCode 7;</li> <li><strong>CONF4: </strong>Channel 7, DataRate 110, PRFR 64, PreambleLenght 4096, PreambleCode 17.</li> </ul> <p><strong>Measurement setup</strong></p> <p>Measurements were performed using the DecaWave1000 UWB pulse radio module in Segment 1 of the mine. Four points (Point A, Point B, Point C, and Point D) were selected for defining the positions of the nodes as shown in Figure 1. Point A denotes the main entrance, the entrance to the measurement segment is represented by Point B, and the beginning and the end of the measurement environment are denoted by Point C, and Point D, respectively. The length of the mine between Point A and Point D is approximately 60 m. </p> <p>The nodes were mounted on stands 1.4 m above the ground, which is not flat. They were placed on a straight line connecting Point C and Point D. The ANCHOR node was positioned in Point C, and the TAG node was moved along the reference line with a step of 1 m up to a maximum distance of 40 m. The nodes were always positioned so the antenna was centred above the reference line. </p> <p><strong>Folder structure</strong></p> <p>The measurements collected for each of the TAG node positions are stored in the corresponding folder. The folders are named m_n, with n=1, ..., 40 corresponding to the TAG's distance to the ANCHOR. Each folder contains four CSV files holding the CIR data measured using the four pre-defined configurations of the UWB system. Each CSV file stores CIRs of approximately 200 repeated measurements as separate records. The CIRs hold complex values of the 156 strongest multipath components corresponding to the taps in the DecaWave1000 accumulator, each of which represents a 1 ns sample interval. </p> <p><strong>Authors</strong></p> <p>Teodora Kocevska, Aleš Simončič, Grega Morano, Tomaž Javornik, and Andrej Hrovat</p> <p>Department of Communication Systems</p> <p>Jožef Stefan Institute, SI-1000 Ljubljana, Slovenia</p> <p>teodora.kocevska@ijs.si</p>
Stereo PIV measurement of open channel flows in RA8 flume at the University of Sheffield
<p>Stereo PIV measurement of open channel flows in RA8 flume at the University of Sheffield</p> <p>Six flow conditions over a rough bed of spheres with 24mm diameter. PIV plane was at the centerline of the flow shining through the bed of spheres. Where the laser PIV plane shone up, the spheres were replaced with translucent hollow spheres to allow the light to go through. Gradient of the flow was 0.001.</p> <table> <tbody> <tr> <td>Water Depth</td> <td>Flow rate</td> <td>Velocity</td> <td>Reynolds’ number</td> <td>Manning’s number</td> <td>Froude number</td> <td>Weber number</td> <td>Relative Submergence</td> </tr> <tr> <td>(mm)</td> <td>(l/s)</td> <td>(m/s)</td> <td>(with depth)</td> </tr> <tr> <td>49</td> <td>1.87</td> <td>0.08</td> <td>3,740</td> <td>0.049</td> <td>0.11</td> <td>3.96</td> <td>2.04</td> </tr> <tr> <td>69</td> <td>5.05</td> <td>0.15</td> <td>10,100</td> <td>0.031</td> <td>0.18</td> <td>20.53</td> <td>2.88</td> </tr> <tr> <td>89</td> <td>7.46</td> <td>0.17</td> <td>14,920</td> <td>0.031</td> <td>0.18</td> <td>34.74</td> <td>3.71</td> </tr> <tr> <td>109</td> <td>11.21</td> <td>0.21</td> <td>22,420</td> <td>0.028</td> <td>0.2</td> <td>64.05</td> <td>4.54</td> </tr> <tr> <td>129</td> <td>15.4</td> <td>0.24</td> <td>30,800</td> <td>0.026</td> <td>0.21</td> <td>102.14</td> <td>5.38</td> </tr> <tr> <td>149</td> <td>20.7</td> <td>0.28</td> <td>41,400</td> <td>0.023</td> <td>0.23</td> <td>159.77</td> <td>6.21</td> </tr> </tbody> </table>
MRI raw data: SE measurement of the knee of a healthy volunteer (8 channel coil)
<p>SE measurement of the knee of a healthy volunteer Sequence parameters:</p> <p>TR 1800ms<br> TE 18ms<br> Matrix Size 192x192<br> In Plane Resolution 0.78mmx0.78mm<br> Slice Thickness 2mm<br> 3T System<br> 8 channel knee coil<br> Florian Knoll (florian.knoll@tugraz.at) Date: 2.2.2011</p> <p>Acknowledgements to Tobias Block and Martin Uecker for their support with the in vivo radial spin echo data.</p>
Supplementary Table S1 (raw data) of "Filtration extraction method using microfluidic channel for measuring environmental DNA "
<p>Supplementary Table S1 (all raw data) of "Filtration extraction method using microfluidic channel for measuring environmental DNA ". Each data of the validation experiment; Experiment 1-4 was located in different sheets..</p>
Comparison of measurement protocols for internal channels of transparent microfluidic devices - datasets
<p>Supplementary material to "Comparison of measurement protocols for internal channels of transparent microfluidic devices" submitted to Micromachines.</p> <p>Data accompanying comparison of measurement protocols.</p> <p> </p> <p>Further readings can be found at <a href="https://mfmet.eu/publications">https://mfmet.eu/publications</a></p> <p>The project (20NRM02 MFMET) have received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.</p>
AALTO - Channel Characterization at Sub-THz Band with Measurements and Ray Tracing in Indoor Case - DATA
<p>The data set includes simulation results from radio propagation modelling of TERAWAY links (at 90, 95 and 100 GHz) in realistic university corridor environment. The modelling is performed using a Ray Tracing Tool developed in MATLAB environment at Aalto University. Ray tracing technique used in this tool is based on Image Theory (IT) algorithm. Unlike a quasi three-dimensional environment, it supports ray tracing in full three dimension.</p> <p>This data set contains propagation modelling results of the TERAWAY link. Output data includes (but is not limited to): Multipath component IDs, Path Distance (meter), Angle of Arrival AoA (degree), Angle of Departure AoD (degree), Direction of Arrival DoA (degree), Direction of Departure DoD (degree), E-Field (Volt/meter), H-Field (Ampere/meter), Phase (Radians), Power (Watts), Number of reflections a path experienced, Number of diffractions a path experienced, information that is it ground reflected path or not, Receiver location (x and y coordinates), information that is it rooftop path or not.</p>
Human STING is a proton channel (Live-cell GALT pH Measurement upon STING agonist treatment with or without C53)
<p>hTERT-immortalized BJ1 cells (ATCC CRL-2522) were transduced with lentiviral ratiometric reporters targeted to GALT constructed based on designs reported in Linders et al. <em>ACS Chem. Biol. </em>2022, with superecliptic pHluorin and mRuby3. Transduced cells were sorted based on mRuby3 expression using a Sony MA900 sorter. BJ1 SEP-mRuby3 cells were plated in 24-well glass-bottom plates (Greiner Bio-One) at 40,000 cells/well. After 48 hours, cells were stained for 45 minutes at 37°C with 0.5 µg/ml Hoechst 34580 (Thermo Fisher Scientific, cat. #H21486). Cells were then washed and incubated in Fluorobrite DMEM (Thermo Fisher Scientific, cat. #A1896701) medium supplemented with 10% FBS, 1% Pen-strep, and 1x GlutaMAX (Thermo Fisher Scientific, cat. #35050061). For time-course experiments, cells were stimulated with 1 µM Bafilomycin A1 (Santa Cruz Biotechnology cat. #sc-201550),<strong> </strong>1 µM diABZI (Invivogen, #tlrl-diabzi), 20 µg/mL cGAMP (Invivogen, #tlrl-nacga23-1) with 5 ng/µL digitonin (Promega, #G9441) for 1 hr with or without the addition of 10 µM C53 (Cayman, #37354). All images were acquired using a Ti2-E inverted epifluorescence microscope (Nikon) with automated XYZ stage control, hardware autofocus, and a Yokogawa CSU-W1 confocal spinning disk unit with Zyla 4.2 PLUS sCMOS camera. An Okolab cage incubator was set to 37°C with 5% CO2. 405, 488, 561, and 640 nm laser lines were used for fluorescence illumination and all hardware was controlled using NIS elements software. Images were acquired using a 40X 0.95 NA CFI Plan Apo λ objective (Nikon MRD70470) with the following lasers and filters: Hoechst (405 nm laser, Chroma Multi LED set #89401), superecliptic pHluorin (488 nm laser, Chroma Multi LED set #89401), and mRuby3 (561 nm laser, Chroma Multi LED set #89401), assaying three z planes per field of view with 1.25 µm spacing. Fields of view were selected using NIS Elements software coordinates without manual preselection.</p> <p>Images are maximum projections of multiple z-stacks with each frame representing one timepoint: 0, 10, 20, 30, 40, 50, 60 minutes post treatment. Channels are: Hoechst 34580, SEP (super-ecliptic pHluorin), mRuby3, and SEP/mRuby3 (ratio). Crops indicate cropped fields of view presented in the manuscript.</p>
Human STING is a proton channel (Live-cell MGAT pH Measurement upon STING agonist treatment with or without C53)
<p>hTERT-immortalized BJ1 cells (ATCC CRL-2522) were transduced with lentiviral ratiometric reporters targeted to MGAT constructed based on designs reported in Linders et al. <em>ACS Chem. Biol. </em>2022, with superecliptic pHluorin and mRuby3. Transduced cells were sorted based on mRuby3 expression using a Sony MA900 sorter. BJ1 SEP-mRuby3 cells were plated in 24-well glass-bottom plates (Greiner Bio-One) at 40,000 cells/well. After 48 hours, cells were stained for 45 minutes at 37°C with 0.5 µg/ml Hoechst 34580 (Thermo Fisher Scientific, cat. #H21486). Cells were then washed and incubated in Fluorobrite DMEM (Thermo Fisher Scientific, cat. #A1896701) medium supplemented with 10% FBS, 1% Pen-strep, and 1x GlutaMAX (Thermo Fisher Scientific, cat. #35050061). For time-course experiments, cells were stimulated with 1 µM Bafilomycin A1 (Santa Cruz Biotechnology cat. #sc-201550),<strong> </strong>1 µM diABZI (Invivogen, #tlrl-diabzi), 20 µg/mL cGAMP (Invivogen, #tlrl-nacga23-1) with 5 ng/µL digitonin (Promega, #G9441) for 1 hr with or without the addition of 10 µM C53 (Cayman, #37354). All images were acquired using a Ti2-E inverted epifluorescence microscope (Nikon) with automated XYZ stage control, hardware autofocus, and a Yokogawa CSU-W1 confocal spinning disk unit with Zyla 4.2 PLUS sCMOS camera. An Okolab cage incubator was set to 37°C with 5% CO2. 405, 488, 561, and 640 nm laser lines were used for fluorescence illumination and all hardware was controlled using NIS elements software. Images were acquired using a 40X 0.95 NA CFI Plan Apo λ objective (Nikon MRD70470) with the following lasers and filters: Hoechst (405 nm laser, Chroma Multi LED set #89401), superecliptic pHluorin (488 nm laser, Chroma Multi LED set #89401), and mRuby3 (561 nm laser, Chroma Multi LED set #89401), assaying three z planes per field of view with 1.25 µm spacing. Fields of view were selected using NIS Elements software coordinates without manual preselection.</p> <p>Images are maximum projections of multiple z-stacks with each frame representing one timepoint: 0, 10, 20, 30, 40, 50, 60 minutes post treatment. Channels are: Hoechst 34580, SEP (super-ecliptic pHluorin), mRuby3, and SEP/mRuby3 (ratio). Crops indicate cropped fields of view presented in the manuscript.</p>
Human STING is a proton channel (Live-cell MGAT STING WT or S53L pH Measurement upon STING agonist treatment with or without C53)
<p>hTERT-immortalized BJ1 cells (ATCC CRL-2522) were transduced with lentiviral ratiometric reporters targeted to MGAT constructed based on designs reported in Linders et al. <em>ACS Chem. Biol. </em>2022, with superecliptic pHluorin and mRuby3. Transduced cells were sorted based on mRuby3 expression using a Sony MA900 sorter. Cells then were transduced with pXPR023 (lentiCRISPRv2) expressing an sgRNA targeting STING and selected with 0.1 µg/mL puromycin for 5 days. Finally, cells were transduced with blasticidin-STING-HA (WT or S53L) and selected using 10 µg/mL blasticidin HCl for 5 days.<strong> </strong> BJ1 SEP-mRuby3 STING-HA (WT or S53L) cells were plated in 24-well glass-bottom plates (Greiner Bio-One) at 40,000 cells/well. After 48 hours, cells were stained for 45 minutes at 37°C with 0.5 µg/ml Hoechst 34580 (Thermo Fisher Scientific, cat. #H21486). Cells were then washed and incubated in Fluorobrite DMEM (Thermo Fisher Scientific, cat. #A1896701) medium supplemented with 10% FBS, 1% Pen-strep, and 1x GlutaMAX (Thermo Fisher Scientific, cat. #35050061). For time-course experiments, cells were stimulated with 1 µM diABZI (Invivogen, #tlrl-diabzi) for 1 hr with or without the addition of 10 µM C53 (Cayman, #37354). All images were acquired using a Ti2-E inverted epifluorescence microscope (Nikon) with automated XYZ stage control, hardware autofocus, and a Yokogawa CSU-W1 confocal spinning disk unit with Zyla 4.2 PLUS sCMOS camera. An Okolab cage incubator was set to 37°C with 5% CO2. 405, 488, 561, and 640 nm laser lines were used for fluorescence illumination and all hardware was controlled using NIS elements software. Images were acquired using a 40X 0.95 NA CFI Plan Apo λ objective (Nikon MRD70470) with the following lasers and filters: Hoechst (405 nm laser, Chroma Multi LED set #89401), superecliptic pHluorin (488 nm laser, Chroma Multi LED set #89401), and mRuby3 (561 nm laser, Chroma Multi LED set #89401), assaying three z planes per field of view with 1.25 µm spacing. Fields of view were selected using NIS Elements software coordinates without manual preselection.</p> <p>Images are maximum projections of multiple z-stacks with each frame representing one timepoint: 0, 10, 20, 30, 40, 50, 60 minutes post treatment. Channels are: Hoechst 34580, SEP (super-ecliptic pHluorin), mRuby3, and SEP/mRuby3 (ratio). Crops indicate cropped fields of view presented in the manuscript.</p>
Human STING is a proton channel (Live-cell MGAT, GALT, and LAMP1 pH Measurements Upon BafA1 and diABZI treatment)
<p>hTERT-immortalized BJ1 cells (ATCC CRL-2522) were transduced with lentiviral ratiometric reporters targeted to MGAT, GALT, or LAMP1 constructed based on designs reported in Linders et al. <em>ACS Chem. Biol. </em>2022, with superecliptic pHluorin and mRuby3. Transduced cells were sorted based on mRuby3 expression using a Sony MA900 sorter. BJ1 SEP-mRuby3 cells were plated in 24-well glass-bottom plates (Greiner Bio-One) at 40,000 cells/well. After 48 hours, cells were stained for 45 minutes at 37°C with 0.5 µg/ml Hoechst 34580 (Thermo Fisher Scientific, cat. #H21486). Cells were then washed and incubated in Fluorobrite DMEM (Thermo Fisher Scientific, cat. #A1896701) medium supplemented with 10% FBS, 1% Pen-strep, and 1x GlutaMAX (Thermo Fisher Scientific, cat. #35050061). For time-course experiments, cells were stimulated with 1 µM Bafilomycin A1 (Santa Cruz Biotechnology cat. #sc-201550), or 1 µM diABZI (Invivogen, #tlrl-diabzi). All images were acquired using a Ti2-E inverted epifluorescence microscope (Nikon) with automated XYZ stage control, hardware autofocus, and a Yokogawa CSU-W1 confocal spinning disk unit with Zyla 4.2 PLUS sCMOS camera. An Okolab cage incubator was set to 37°C with 5% CO2. 405, 488, 561, and 640 nm laser lines were used for fluorescence illumination and all hardware was controlled using NIS elements software. Images were acquired using a 40X 0.95 NA CFI Plan Apo λ objective (Nikon MRD70470) with the following lasers and filters: Hoechst (405 nm laser, Chroma Multi LED set #89401), superecliptic pHluorin (488 nm laser, Chroma Multi LED set #89401), and mRuby3 (561 nm laser, Chroma Multi LED set #89401), assaying three z planes per field of view with 1.25 µm spacing. Fields of view were selected using NIS Elements software coordinates without manual preselection.</p> <p>Images are maximum projections of multiple z-stacks with each frame representing one timepoint: 0, 10, 20, 30, 40, 50, 60 minutes post treatment (except for replicate 1, which omitted the final timepoint). Channels are: Hoechst 34580, SEP (super-ecliptic pHluorin), mRuby3, and SEP/mRuby3 (ratio). Crops indicate cropped fields of view presented in the manuscript.</p>
AERPAW Air-to-ground channel sounding and multipath measurement with a UAV
Open the record for dataset details and reuse information.
Data and analysis script for channel measurement campaign at POWDER-RENEW using Iris SDRs
<p>This repository contains our raw datasets from channel measurements performed at the University of Utah campus. In addition, we have included a document that explains the setup and methodology used to collect this data, as well as a very brief discussion of results. <br> File organization:<br> * documentation/ - Contains a .docx with the description of the setup and evaluation.<br> * data/ - HDF5 files containing both metadata and raw IQ samples for<br> each location at which data was collected. Notice we collected data at 14 <br> different client locations. See map in the attached docx (skipped locations 12 and 16).<br> We deployed 5 different receivers at 5 different rooftops. Due to resource constraints,<br> one set of files contains data from 4 different locations whereas another set <br> contains information from the single remaining location.<br> <br> We have developed a set of python scripts that allow us to parse and analyze the data.<br> Although not included here, they can be found in our public repository: <a href="https://github.com/renew-wireless/RENEWLab">https://github.com/renew-wireless/RENEWLab</a><br> You can find the top script <a href="https://github.com/renew-wireless/RENEWLab/blob/master/PYTHON/IrisUtils/deployment_tool.py">here</a>.</p> <p>For more information on the POWDER-RENEW project please visit the <a href="https://powderwireless.net/">POWDER website</a>.<br> The RENEW part of the project focuses on the deployment of an open-source massive MIMO system.<br> Please visit our <a href="https://renew-wireless.org/">website </a>for more information.</p>
TEXT-FIGURE 3. Scatterplots of morphometric measurements of Thecidellina leipnitzae sp. nov. Abbreviations: L, length; W, width; LDV, length of dorsal valve; T (max), maximal thickness; Lint, length of the interarea, Wint, width of hinge line or interarea. Relationships between ratios L/W and width, LDV/W and width, T(max)/W and width, Lint/W and width and Wint/W and width. Linear regression and regression coefficient (R²) indicated. The regression coefficient (R²) is indicated. N is the number of specimens measured. in Recent thecideide brachiopods from a submarine cave in the Department of Mayotte (France), northern Mozambique Channel
TEXT-FIGURE 3. Scatterplots of morphometric measurements of Thecidellina leipnitzae sp. nov. Abbreviations: L, length; W, width; LDV, length of dorsal valve; T (max), maximal thickness; Lint, length of the interarea, Wint, width of hinge line or interarea. Relationships between ratios L/W and width, LDV/W and width, T(max)/W and width, Lint/W and width and Wint/W and width. Linear regression and regression coefficient (R²) indicated. The regression coefficient (R²) is indicated. N is the number of specimens measured.
Phase Modulation Side Channels: Jittery JTAG for On-Chip Voltage Measurements Dataset
<p>This dataset is a number of power analysis traces for the paper "Phase Modulation Side Channels: Jittery JTAG for On-Chip Voltage Measurements".</p>
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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.
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.