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2,107 results for “Spectrum”
Data for: JWST COMPASS: A NIRSpec/G395H Transmission Spectrum of the Sub-Neptune TOI-836c
<p>Data and models presented in "JWST COMPASS: A NIRSpec/G395H Transmission Spectrum of the Sub-Neptune TOI-836c"</p> <ul> <li>Transmission spectra from all three reductions presented</li> <li>Fitted white light curves from all three reductions</li> <li>Fitted spectroscopic light curves from the main Eureka! reduction</li> <li>PICASO models presented in Figure 11</li> </ul> <p>Manuscript: <a href="https://ui.adsabs.harvard.edu/abs/2024arXiv240401264W/abstract">Wallack et al. 2024</a> (DOI: 10.3847/1538-3881/ad3917)</p>
[Saliency4ASD] A dataset of eye movements for the children with autism spectrum disorder
<p>Social difficulties are the hallmark features of Autism Spectrum Disorder (ASD) and can lead to atypical visual attention towards stimuli. Eye movements encode rich information about attention and psychological factors of an individual, which could help to characterize the traits of ASD. Learning atypical eye movements of the individuals with ASD towards various stimuli is important and has many application scenarios. However, due to the lack of open datasets, research in this sense is still limited. In this work, we present an open dataset of eye movements of children with Autism Spectrum Disorder. It consists of 300 natural scene images and the corresponding eye movement data collected from 14 children with ASD and 14 healthy controls. In particular, fixation maps and scanpaths are available in the dataset. Based on this dataset, researchers could analyze the visual traits of children with ASD and design specialized visual attention models to promote research in related fields, as well as design specialized models to identify the individuals with ASD</p>
Debunking neuromyths: Pre‐service teachers' insights on autism spectrum disorder.
<p>This database corresponds to the results of the paper:</p> <p>Lacruz-Pérez, I., Pastor-Cerezuela, G., Caurín-Alonso, C., Morales-Hernández, A.J. & Tárraga-Mínguez, R. (in press). Debunking neuromyths: Pre‐service teachers' insights on autism spectrum disorder. <em>Journal of Research in Special Educational Needs. </em></p>
Spectrum data for calculation of biological effectiveness of proton beams
<p>Datasets used in Bellinzona, E.V.; Grzanka, L.; Attili, A.; Tommasino, F.; Friedrich, T.; Krämer, M.; Scholz, M.; Battistoni, G.; Embriaco, A.; Chiappara, D.; Cirrone, G.A.P.; Petringa, G.; Durante, M.; Scifoni, E. Biological Impact of Target Fragments on Proton Treatment Plans: An Analysis Based on the Current Cross-Section Data and a Full Mixed Field Approach. <em>Cancers</em> <strong>2021</strong>, <em>13</em>, 4768. https://doi.org/10.3390/cancers13194768</p>
Furious transfer infrared spectrum of Ranolazine bulk drug, soluble in ethanol, isopropanol under vacuum, at different temperature 0, 40, 70 degree Celsius
<p>Ranolazine bulk drug soluble in ethanol observed additional group and in isopropanol also furior transferred infrared spectroscopy of ranolazine bulk drug </p>
African Savanna grasses outperform trees across the full spectrum of soil moisture availability
<p>Summary</p> <ul> <li>Models of tree-grass coexistence in savannas make different assumptions about the relative performance of trees and grasses under wet vs. dry conditions. We quantified transpiration and drought tolerance traits in 26 tree and 19 grass species from the African savanna biome across a gradient of soil water potentials to test for a tradeoff between water use under wet conditions and drought tolerance.</li> <li>We measured whole-plant hourly transpiration in a growth chamber and quantified drought tolerance using leaf osmotic potential (Ψ<sub>osm</sub>). We also quantified whole-plant water use efficiency (WUE) and relative growth rate (RGR) under well-watered conditions.</li> <li>Grasses transpired twice as much as trees on a leaf-mass basis across all soil water potentials. Grasses also had a lower Ψ<sub>osm</sub> than trees, indicating higher drought tolerance in the former. Higher grass transpiration and WUE combined to largely explain the threefold RGR advantage in grasses.</li> <li>Our results suggest that grasses outperform trees under a wide range of conditions, and that there is no evidence for a trade-off in water use patterns in wet vs. dry soils. This work will help inform mechanistic models of water use in savanna ecosystems, providing much-needed whole-plant parameter estimates for African species.</li> </ul>
Single-Cell Profiling of CD8+ T Cells in Acute Myeloid Leukemia Reveals a Continuous Spectrum of Differentiation and Clonal Hyperexpansion
<p>Data for the publication <strong>Single-Cell Profiling of CD8<sup>+</sup> T Cells in Acute Myeloid Leukemia Reveals a Continuous Spectrum of Differentiation and Clonal Hyperexpansion</strong></p>
GMSK Spectrum Sensing for Machine Learning
<p>This file contains measurement results achievied in the following scenario:<br>Single PC with GNU Radio and connected USRP transmits GMSK signal at center frequncy 2100 MHz with different amplifier gain.<br>Single PC with GNU Radio and connected USRP receives signal with central frequency 2100 MHz and bandwidth 40 MHz (treated like 40 x 1 MHz channels). It uses local osciallator offset equal 10 MHz and due to non-linear characteristics of amplifiers and filters in USRP the extreme 12 (on both sides) are removed. However to create (this) dataset only one channel where signal was transmitted were included.<br><br>Data that can be found in the files is stored in CSV format to be easly analyzed in ML models. </p><p>Data collected at during this experiment contains:<br>the first column of average received power in the analyzed channel (in dBm)<br>the second column of autocorrelation function skewness in the analyzed channel (in linear scale)<br>the third column of autocorrelation function kurtosis in the analyzed channel (in linear scale)<br>the fourth column with information about signal transmission (label; 0 - noise, 1 - signal transmitted)</p>
V404 Cyg spectrum high state 2
<p><a href="https://www.astro.unige.ch/cdci/astrooda_?src_name=V404+Cygni&RA=306.015&DEC=33.867&E1_keV=20&E2_keV=40&T1=2015-06-24T02:30:00.0&T2=2015-06-24T05:59:59.0&T_format=isot&catalog_selected_objects=1,2,3&detection_threshold=10&instrument=isgri&osa_version=OSA10.2&product_type=isgri_spectrum&use_scws=no&query_status=ready&query_type=Real&radius=15&selected_catalog=%7B%22cat_column_descr%22:%5B%5B%22meta_ID%22,%22%3Ci8%22%5D,%5B%22src_names%22,%22%7CS20%22%5D,%5B%22significance%22,%22%3Ef4%22%5D,%5B%22ra%22,%22%3Ef4%22%5D,%5B%22dec%22,%22%3Ef4%22%5D,%5B%22NEW_SOURCE%22,%22%3Ei2%22%5D,%5B%22ISGRI_FLAG%22,%22%3Ci8%22%5D,%5B%22FLAG%22,%22%3Ci8%22%5D,%5B%22ERR_RAD%22,%22%3Cf8%22%5D%5D,%22cat_column_list%22:%5B%5B1,2,3%5D,%5B%22Cyg+X-1%22,%22Cyg+X-3%22,%22V404+Cyg%22%5D,%5B725.9,216.9,1479.9%5D,%5B299.590,308.106,306.015%5D,%5B35.202,40.957,33.867%5D,%5B-32768,-32768,-32768%5D,%5B2,2,2%5D,%5B0,0,0%5D,%5B0.0002,0.0002,0.0002%5D%5D,%22cat_column_names%22:%5B%22meta_ID%22,%22src_names%22,%22significance%22,%22ra%22,%22dec%22,%22NEW_SOURCE%22,%22ISGRI_FLAG%22,%22FLAG%22,%22ERR_RAD%22%5D,%22cat_coord_units%22:%22deg%22,%22cat_frame%22:%22fk5%22,%22cat_lat_name%22:%22dec%22,%22cat_lon_name%22:%22ra%22%7D">www.astro.unige.ch/cdci/astrooda_?src_name=V404+Cygni&RA=306.015&DEC=33.867&E1_keV=20&E2_keV=40&T1=2015-06-24T02:30:00.0&T2=2015-06-24T05:59:59.0&T_format=isot&catalog_selected_objects=1,2,3&detection_threshold=10&instrument=isgri&osa_version=OSA10.2&product_type=isgri_spectrum&use_scws=no&query_status=ready&query_type=Real&radius=15&selected_catalog=%7B%22cat_column_descr%22:%5B%5B%22meta_ID%22,%22%3Ci8%22%5D,%5B%22src_names%22,%22%7CS20%22%5D,%5B%22significance%22,%22%3Ef4%22%5D,%5B%22ra%22,%22%3Ef4%22%5D,%5B%22dec%22,%22%3Ef4%22%5D,%5B%22NEW_SOURCE%22,%22%3Ei2%22%5D,%5B%22ISGRI_FLAG%22,%22%3Ci8%22%5D,%5B%22FLAG%22,%22%3Ci8%22%5D,%5B%22ERR_RAD%22,%22%3Cf8%22%5D%5D,%22cat_column_list%22:%5B%5B1,2,3%5D,%5B%22Cyg+X-1%22,%22Cyg+X-3%22,%22V404+Cyg%22%5D,%5B725.9,216.9,1479.9%5D,%5B299.590,308.106,306.015%5D,%5B35.202,40.957,33.867%5D,%5B-32768,-32768,-32768%5D,%5B2,2,2%5D,%5B0,0,0%5D,%5B0.0002,0.0002,0.0002%5D%5D,%22cat_column_names%22:%5B%22meta_ID%22,%22src_names%22,%22significance%22,%22ra%22,%22dec%22,%22NEW_SOURCE%22,%22ISGRI_FLAG%22,%22FLAG%22,%22ERR_RAD%22%5D,%22cat_coord_units%22:%22deg%22,%22cat_frame%22:%22fk5%22,%22cat_lat_name%22:%22dec%22,%22cat_lon_name%22:%22ra%22%7D</a></p>
Crab spectrum 2006-03-15 2007-03-15
<p><a href="https://www.astro.unige.ch/cdci/astrooda_?src_name=Crab&RA=83.633080&DEC=22.014500&E1_keV=20&E2_keV=40&T1=2006-03-15T00:00:00.0&T2=2007-03-15T00:00:00.0&T_format=isot&catalog_selected_objects=1,2,3,4&detection_threshold=7.5&instrument=isgri&osa_version=OSA10.2&product_type=isgri_spectrum&query_status=ready&query_type=Real&radius=15&use_scws=no&selected_catalog=%7B%22cat_column_descr%22:%5B%5B%22meta_ID%22,%22%3Ci8%22%5D,%5B%22src_names%22,%22%7CS18%22%5D,%5B%22significance%22,%22%3Ef4%22%5D,%5B%22ra%22,%22%3Ef4%22%5D,%5B%22dec%22,%22%3Ef4%22%5D,%5B%22NEW_SOURCE%22,%22%3Ei2%22%5D,%5B%22ISGRI_FLAG%22,%22%3Ci8%22%5D,%5B%22FLAG%22,%22%3Ci8%22%5D,%5B%22ERR_RAD%22,%22%3Cf8%22%5D%5D,%22cat_column_list%22:%5B%5B1,2,3,4%5D,%5B%221A+0535%2B262%22,%224U+0517%2B17%22,%22Crab%22,%22H+0614%2B091%22%5D,%5B116.7,7.9,1232.6,8.1%5D,%5B84.726,77.667,83.631,94.254%5D,%5B26.314,16.487,22.015,9.165%5D,%5B-32768,-32768,-32768,-32768%5D,%5B2,2,2,2%5D,%5B0,0,0,0%5D,%5B0.0002,0.0002,0.0002,0.0002%5D%5D,%22cat_column_names%22:%5B%22meta_ID%22,%22src_names%22,%22significance%22,%22ra%22,%22dec%22,%22NEW_SOURCE%22,%22ISGRI_FLAG%22,%22FLAG%22,%22ERR_RAD%22%5D,%22cat_coord_units%22:%22deg%22,%22cat_frame%22:%22fk5%22,%22cat_lat_name%22:%22dec%22,%22cat_lon_name%22:%22ra%22%7D">www.astro.unige.ch/cdci/astrooda_?src_name=Crab&RA=83.633080&DEC=22.014500&E1_keV=20&E2_keV=40&T1=2006-03-15T00:00:00.0&T2=2007-03-15T00:00:00.0&T_format=isot&catalog_selected_objects=1,2,3,4&detection_threshold=7.5&instrument=isgri&osa_version=OSA10.2&product_type=isgri_spectrum&query_status=ready&query_type=Real&radius=15&use_scws=no&selected_catalog=%7B%22cat_column_descr%22:%5B%5B%22meta_ID%22,%22%3Ci8%22%5D,%5B%22src_names%22,%22%7CS18%22%5D,%5B%22significance%22,%22%3Ef4%22%5D,%5B%22ra%22,%22%3Ef4%22%5D,%5B%22dec%22,%22%3Ef4%22%5D,%5B%22NEW_SOURCE%22,%22%3Ei2%22%5D,%5B%22ISGRI_FLAG%22,%22%3Ci8%22%5D,%5B%22FLAG%22,%22%3Ci8%22%5D,%5B%22ERR_RAD%22,%22%3Cf8%22%5D%5D,%22cat_column_list%22:%5B%5B1,2,3,4%5D,%5B%221A+0535%2B262%22,%224U+0517%2B17%22,%22Crab%22,%22H+0614%2B091%22%5D,%5B116.7,7.9,1232.6,8.1%5D,%5B84.726,77.667,83.631,94.254%5D,%5B26.314,16.487,22.015,9.165%5D,%5B-32768,-32768,-32768,-32768%5D,%5B2,2,2,2%5D,%5B0,0,0,0%5D,%5B0.0002,0.0002,0.0002,0.0002%5D%5D,%22cat_column_names%22:%5B%22meta_ID%22,%22src_names%22,%22significance%22,%22ra%22,%22dec%22,%22NEW_SOURCE%22,%22ISGRI_FLAG%22,%22FLAG%22,%22ERR_RAD%22%5D,%22cat_coord_units%22:%22deg%22,%22cat_frame%22:%22fk5%22,%22cat_lat_name%22:%22dec%22,%22cat_lon_name%22:%22ra%22%7D</a></p>
Crab spectrum 2003-03-15 2004-03-15
<p><a href="https://www.astro.unige.ch/cdci/astrooda_?src_name=Crab&RA=83.633080&DEC=22.014500&E1_keV=20&E2_keV=40&T1=2004-03-15T00:00:00.0&T2=2005-03-15T00:00:00.0&T_format=isot&catalog_selected_objects=1,2,3,4&detection_threshold=7.5&instrument=isgri&osa_version=OSA10.2&product_type=isgri_spectrum&query_status=ready&query_type=Real&radius=15&use_scws=no&selected_catalog=%7B%22cat_column_descr%22:%5B%5B%22meta_ID%22,%22%3Ci8%22%5D,%5B%22src_names%22,%22%7CS18%22%5D,%5B%22significance%22,%22%3Ef4%22%5D,%5B%22ra%22,%22%3Ef4%22%5D,%5B%22dec%22,%22%3Ef4%22%5D,%5B%22NEW_SOURCE%22,%22%3Ei2%22%5D,%5B%22ISGRI_FLAG%22,%22%3Ci8%22%5D,%5B%22FLAG%22,%22%3Ci8%22%5D,%5B%22ERR_RAD%22,%22%3Cf8%22%5D%5D,%22cat_column_list%22:%5B%5B1,2,3,4%5D,%5B%221A+0535%2B262%22,%224U+0517%2B17%22,%22Crab%22,%22H+0614%2B091%22%5D,%5B116.7,7.9,1232.6,8.1%5D,%5B84.726,77.667,83.631,94.254%5D,%5B26.314,16.487,22.015,9.165%5D,%5B-32768,-32768,-32768,-32768%5D,%5B2,2,2,2%5D,%5B0,0,0,0%5D,%5B0.0002,0.0002,0.0002,0.0002%5D%5D,%22cat_column_names%22:%5B%22meta_ID%22,%22src_names%22,%22significance%22,%22ra%22,%22dec%22,%22NEW_SOURCE%22,%22ISGRI_FLAG%22,%22FLAG%22,%22ERR_RAD%22%5D,%22cat_coord_units%22:%22deg%22,%22cat_frame%22:%22fk5%22,%22cat_lat_name%22:%22dec%22,%22cat_lon_name%22:%22ra%22%7D">www.astro.unige.ch/cdci/astrooda_?src_name=Crab&RA=83.633080&DEC=22.014500&E1_keV=20&E2_keV=40&T1=2004-03-15T00:00:00.0&T2=2005-03-15T00:00:00.0&T_format=isot&catalog_selected_objects=1,2,3,4&detection_threshold=7.5&instrument=isgri&osa_version=OSA10.2&product_type=isgri_spectrum&query_status=ready&query_type=Real&radius=15&use_scws=no&selected_catalog=%7B%22cat_column_descr%22:%5B%5B%22meta_ID%22,%22%3Ci8%22%5D,%5B%22src_names%22,%22%7CS18%22%5D,%5B%22significance%22,%22%3Ef4%22%5D,%5B%22ra%22,%22%3Ef4%22%5D,%5B%22dec%22,%22%3Ef4%22%5D,%5B%22NEW_SOURCE%22,%22%3Ei2%22%5D,%5B%22ISGRI_FLAG%22,%22%3Ci8%22%5D,%5B%22FLAG%22,%22%3Ci8%22%5D,%5B%22ERR_RAD%22,%22%3Cf8%22%5D%5D,%22cat_column_list%22:%5B%5B1,2,3,4%5D,%5B%221A+0535%2B262%22,%224U+0517%2B17%22,%22Crab%22,%22H+0614%2B091%22%5D,%5B116.7,7.9,1232.6,8.1%5D,%5B84.726,77.667,83.631,94.254%5D,%5B26.314,16.487,22.015,9.165%5D,%5B-32768,-32768,-32768,-32768%5D,%5B2,2,2,2%5D,%5B0,0,0,0%5D,%5B0.0002,0.0002,0.0002,0.0002%5D%5D,%22cat_column_names%22:%5B%22meta_ID%22,%22src_names%22,%22significance%22,%22ra%22,%22dec%22,%22NEW_SOURCE%22,%22ISGRI_FLAG%22,%22FLAG%22,%22ERR_RAD%22%5D,%22cat_coord_units%22:%22deg%22,%22cat_frame%22:%22fk5%22,%22cat_lat_name%22:%22dec%22,%22cat_lon_name%22:%22ra%22%7D</a></p>
Crab spectrum 2004-03-15 2005-03-15
<p><a href="https://www.astro.unige.ch/cdci/astrooda_?src_name=Crab&RA=83.633080&DEC=22.014500&E1_keV=20&E2_keV=40&T1=2004-03-15T00:00:00.0&T2=2005-03-15T00:00:00.0&T_format=isot&catalog_selected_objects=1,2,3,4&detection_threshold=7.5&instrument=isgri&osa_version=OSA10.2&product_type=isgri_spectrum&query_status=ready&query_type=Real&radius=15&use_scws=no&selected_catalog=%7B%22cat_column_descr%22:%5B%5B%22meta_ID%22,%22%3Ci8%22%5D,%5B%22src_names%22,%22%7CS18%22%5D,%5B%22significance%22,%22%3Ef4%22%5D,%5B%22ra%22,%22%3Ef4%22%5D,%5B%22dec%22,%22%3Ef4%22%5D,%5B%22NEW_SOURCE%22,%22%3Ei2%22%5D,%5B%22ISGRI_FLAG%22,%22%3Ci8%22%5D,%5B%22FLAG%22,%22%3Ci8%22%5D,%5B%22ERR_RAD%22,%22%3Cf8%22%5D%5D,%22cat_column_list%22:%5B%5B1,2,3,4%5D,%5B%221A+0535%2B262%22,%224U+0517%2B17%22,%22Crab%22,%22H+0614%2B091%22%5D,%5B116.7,7.9,1232.6,8.1%5D,%5B84.726,77.667,83.631,94.254%5D,%5B26.314,16.487,22.015,9.165%5D,%5B-32768,-32768,-32768,-32768%5D,%5B2,2,2,2%5D,%5B0,0,0,0%5D,%5B0.0002,0.0002,0.0002,0.0002%5D%5D,%22cat_column_names%22:%5B%22meta_ID%22,%22src_names%22,%22significance%22,%22ra%22,%22dec%22,%22NEW_SOURCE%22,%22ISGRI_FLAG%22,%22FLAG%22,%22ERR_RAD%22%5D,%22cat_coord_units%22:%22deg%22,%22cat_frame%22:%22fk5%22,%22cat_lat_name%22:%22dec%22,%22cat_lon_name%22:%22ra%22%7D">www.astro.unige.ch/cdci/astrooda_?src_name=Crab&RA=83.633080&DEC=22.014500&E1_keV=20&E2_keV=40&T1=2004-03-15T00:00:00.0&T2=2005-03-15T00:00:00.0&T_format=isot&catalog_selected_objects=1,2,3,4&detection_threshold=7.5&instrument=isgri&osa_version=OSA10.2&product_type=isgri_spectrum&query_status=ready&query_type=Real&radius=15&use_scws=no&selected_catalog=%7B%22cat_column_descr%22:%5B%5B%22meta_ID%22,%22%3Ci8%22%5D,%5B%22src_names%22,%22%7CS18%22%5D,%5B%22significance%22,%22%3Ef4%22%5D,%5B%22ra%22,%22%3Ef4%22%5D,%5B%22dec%22,%22%3Ef4%22%5D,%5B%22NEW_SOURCE%22,%22%3Ei2%22%5D,%5B%22ISGRI_FLAG%22,%22%3Ci8%22%5D,%5B%22FLAG%22,%22%3Ci8%22%5D,%5B%22ERR_RAD%22,%22%3Cf8%22%5D%5D,%22cat_column_list%22:%5B%5B1,2,3,4%5D,%5B%221A+0535%2B262%22,%224U+0517%2B17%22,%22Crab%22,%22H+0614%2B091%22%5D,%5B116.7,7.9,1232.6,8.1%5D,%5B84.726,77.667,83.631,94.254%5D,%5B26.314,16.487,22.015,9.165%5D,%5B-32768,-32768,-32768,-32768%5D,%5B2,2,2,2%5D,%5B0,0,0,0%5D,%5B0.0002,0.0002,0.0002,0.0002%5D%5D,%22cat_column_names%22:%5B%22meta_ID%22,%22src_names%22,%22significance%22,%22ra%22,%22dec%22,%22NEW_SOURCE%22,%22ISGRI_FLAG%22,%22FLAG%22,%22ERR_RAD%22%5D,%22cat_coord_units%22:%22deg%22,%22cat_frame%22:%22fk5%22,%22cat_lat_name%22:%22dec%22,%22cat_lon_name%22:%22ra%22%7D</a></p>
Data for: Cardiac and Respiratory Self-Gating in Radial MRI using an Adapted Singular Spectrum Analysis (SSA-FARY)
<p>Magnetic Resonance Imaging measurement data used in our paper about self-gating with SSA-FARY (DOI: <a href="https://doi.org/10.1109/TMI.2020.2985994">10.1109/TMI.2020.2985994</a>). Cardiac data was obtained from eight volunteers with no known illness using single-slice radial (SS), simultaneous multi-slice radial (SMS), and stack-of-stars (SoS) FLASH and bSSFP sequences and is provided in a file format used by the BART toolbox (DOI: <a href="http://doi.org/10.5281/zenodo.592960">10.5281/zenodo.592960</a>).</p>
Self-contained 4-BSS's dataset of spectrum management in WLANs
<p>This folder contains the self-contained dataset of 4 BSS's analyzed in the thesis by <em>Sergio Barrachina-Muñoz, "Responsive Spectrum Management for Wireless Local Area Networks: from Heuristic-based Policies to Model-Free Reinforcement Learning", 2020</em>.</p> <p>-------------------------------------------------------------<br> <strong>*** General info ***</strong></p> <p>The dataset has been generated simulating all the spectrum management configurations (including primary channel and maximum bandwidth) in a 4-BSS's deploymment. Simulations have been performed with the Komondor wireless network simulator (<a href="https://github.com/wn-upf/Komondor">https://github.com/wn-upf/Komondor</a>).</p> <p><strong>*** Dataset structure ***</strong></p> <p>The dataset is composed of 1 file, dataset.csv, containing all the combinations of spectrum management configurations.</p> <p><strong>*** File format ***</strong></p> <p>The dataset.csv file is composed of 53 columns and 1679616 rows. <br> - Each column is a parameter or performance metric of the global spectrum management configuration, i.e., the configuration of all the BSS's.<br> - Each row is a realization of the global configuration.<br> - Column sim_code refers to the simulation code.</p> <p>The colums for each BSS are (only showing for BSS A):<br> - bss_A_code: code of the BSS<br> - action_ix_A: action (or BSS configuration) index<br> - status_ix_A: status index (combination of action and traffic load)<br> - primary_A: primary channel of the BSS<br> - max_bw_ix_A: index of the maximum allowed bandwidth of the BSS<br> - load_ix_A: traffic load index of the BSS<br> - load_A: traffic load [pkt/s] of the BSS<br> - thr_A: throughput [Mbps] of the BSS<br> - d_A: packet delay [ms] of the BSS<br> - rts_lost_A: number of RTS lost by BSS A<br> - rts_sent_A: number of RTS sent by BSS A<br> - frames_lost_A: number of frames lost by BSS A<br> - frames_sent_A: number of frames sent by BSS A</p>
Dataset: "Probabilistic Framework for Integration of Mass Spectrum and Retention Time Information in Small Molecule Identification"
<p>The SQLite database contains the pre-computed tandem mass spectra (MS2) and retention order scores used for the experiments in the publication: "<a href="https://doi.org/10.1093/bioinformatics/btaa998">Probabilistic Framework for Integration of Mass Spectrum and Retention Time Information in Small Molecule Identification</a>" by Bach et al. (2020).</p> <p>A detailed description of the database structure is given in the 'README.md' and can also be found in the <a href="https://github.com/aalto-ics-kepaco/msms_rt_score_integration/tree/master/data">code-repository associated with the publication</a>. The database layout is illustrated in the 'db_layout.png' file.</p> <p>The SQLite file 'ms_and_rt_score_DB_bach_etal_2020.db.gz' is compressed using <a href="https://en.wikipedia.org/wiki/Gzip">gzip</a>.</p>
Properties of flat-spectrum radio-loud Narrow-Line Seyfert 1 Galaxies
<p>Numerical tables of the Spectral Energy Distributions (SEDs) of Figs. 8-13 of the paper http://arxiv.org/abs/1409.3716v2</p>
Spectrum usage in Madrid (20150331) when some DVB-T channels were switched off
<p>The plot shows the spectrum usage in Madrid city on 31st of March 2015 between 02:00 am and 04:00 am. Some DVB-T channels stopped transmitting (~800-860MHz) to make room for 4G networks. The spectrum was scanned using a RTL-SDR device connected to a RPi unit.</p>
Cikapundung riverbank research spectrum
<p>This research spectrum was derived from Google Scholar search limited to earth science and environmental science. The search is conducted in May 2017. We used "Freemind" open source app to make the figure (https://sourceforge.net/projects/freemind/).</p> <p>Method: literature review via scientometric</p> <p>Database: Google Scholar, filter: Cikapundung (intitle)</p> <p>App: Freemind, Google Sheets </p>
Reproduction package for "A strong H− opacity signal in the near-infrared emission spectrum of the ultra-hot Jupiter KELT-9b"
<p>This is a basic reproduction package for the paper "A strong H− opacity signal</p><p>in the near-infrared emission spectrum of the ultra-hot Jupiter KELT-9b"</p><p>by [Jacobs, B.; Désert, J. -M.; Pino, L. et al. (2022)](https://doi.org/10.1051/0004-6361/202244533).</p><p> </p><p>Abstract:</p><p>We present the analysis of a spectroscopic secondary eclipse of the hottest transiting exoplanet detected to date, KELT-9b, obtained with the Wide Field Camera 3 aboard the <i>Hubble</i> Space Telescope. We complement these data with literature information on stellar pulsations and <i>Spitzer</i>/Infrared Array Camera and Transiting Exoplanet Survey Satellite eclipse depths of this target to obtain a broadband thermal emission spectrum. Our extracted spectrum exhibits a clear turnoff at 1.4 μm. This points to H− bound-free opacities shaping the spectrum. To interpret the spectrum, we perform grid retrievals of self-consistent 1D equilibrium chemistry forward models, varying the composition and energy budget. The model with solar metallicity and C/O ratio provides a poor fit because the H− signal is stronger than expected, requiring an excess of electrons. This pushes our retrievals toward high atmospheric metallicities ([M/H] = 1.98−0.21+0.19) and a C/O ratio that is subsolar by 2.4<i>σ</i>. We question the viability of forming such a high-metallicity planet, and therefore provide other scenarios to increase the electron density in this atmosphere. We also look at an alternative model in which we quench TiO and VO. This fit results in an atmosphere with a slightly subsolar metallicity and subsolar C/O ratio ([M/H] = −0.22−0.13+0.17, log (C/O) = −0.34−0.34+0.19). However, the required TiO abundances are disputed by recent high-resolution measurements of the same planet.</p>
Reproduction package for "Probing reflection from aerosols with the near-infrared dayside spectrum of WASP-80b"
<p>This is a basic reproduction package for the paper "Probing reflection from</p><p>aerosols with the near-infrared dayside spectrum of WASP-80b"</p><p>by [Jacobs, B.; Désert, J. -M.; Gao P. et al. (2023)](https://doi.org/10.3847/2041-8213/acfee9).</p><p>Abstract:</p><p>The presence of aerosols is intimately linked to the global energy budget and the composition of a planet's atmospheres. Their ability to reflect incoming light prevents energy from being deposited into the atmosphere, and they shape spectra of exoplanets. We observed five near-infrared secondary eclipses of WASP-80b</p><p>with the Wide Field Camera 3 (WFC3) aboard the Hubble Space Telescope to provide constraints on the presence and properties of atmospheric aerosols.</p><p>We detect a broadband eclipse depth of 34\pm10 ppm for WASP-80b. We detect a higher planetary flux than expected from thermal emission alone at 1.6 sigma, which hints toward the presence of reflecting aerosols on this planet's dayside, indicating a geometric albedo of A_g<0.33 at 3 sigma.</p><p>We paired the WFC3 data with Spitzer data and explored multiple atmospheric models with and without aerosols to interpret this spectrum.</p><p>Albeit consistent with a clear dayside atmosphere, we found a slight preference for near-solar metallicities and for dayside clouds over hazes. We exclude soot haze formation rates higher than 10^{-10.7} g cm^{-2} s^{-1} and tholin formation rates higher than 10^{-12.0} g cm^{-2} s^{-1} at 3 sigma.</p><p>We applied the same atmospheric models to a previously published WFC3/Spitzer transmission spectrum for this planet and found weak haze formation.</p><p>A single soot haze formation rate best fits both the dayside and the transmission spectra simultaneously. However, we emphasize that no models provide satisfactory fits in terms of the chi-square of both spectra simultaneously, indicating longitudinal dissimilarity in the atmosphere's aerosol composition.</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.