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315 results for “Zeros”
MMS 2 Electron Drift Instrument (EDI) Quality Zero Counts, Level 2 (L2), Survey Mode, 0.125 s Data
Electron Drift Instrument (EDI) Q0 Survey, Level 2, 0.125 s Data (8 samples/s). EDI has two scientific data acquisition modes, called electric field mode and ambient mode. In electric field mode, two coded electron beams are emitted such that they return to the detectors after one or more gyrations in the ambient magnetic and electric field. The firing directions and times-of-flight allow the derivation of the drift velocity and electric field. In ambient mode, the electron beams are not used. The detectors with their large geometric factors and their ability to adjust the field of view quickly allow continuous sampling of ambient electrons at a selected pitch angle and fixed but selectable energy. To find the beam directions that will hit the detector, EDI sweeps each beam in the plane perpendicular to B at a fixed angular rate of 0.22 °/ms until a signal has been acquired by the detector. Once signal has been acquired, the beams are swept back and forth to stay on target. Beam detection is not determined from the changes in the count-rates directly, but from the square of the beam counts divided by the background counts from ambient electrons, i.e., from the square of the instantaneous signal-to-noise ratio (SNR). This quantity is computed from data provided by the correlator in the Gun-Detector Electronics that also generates the coding pattern imposed on the outgoing beams. If the squared SNR ratio exceeds a threshold, this is taken as evidence that the beam is returning to the detector. The thresholds for SNR are chosen dependent on background fluxes. They represent a compromise between getting false hits (induced by strong variations in background electron fluxes) and missing true beam hits. The basic software loop that controls EDI operations is executed every 2 ms. As the times when the beams hit their detectors are neither synchronized with the telemetry nor equidistant, EDI data have no fixed time-resolution. Data are reported in telemetry slots. In Survey, using the standard packing mode 0, there are eight telemetry slots per second and Gyn Detector Unit (GDU). The last beam detected during the previous slot will be reported in the current slot. If no beam has been detected, the data quality will be set to zero. In Burst telemetry there are 128 slots per second and GDU. The data in each slot consists of information regarding the beam firing directions (stored in the form of analytic gun deflection voltages), times-of-flight (if successfully measured), quality indicators, time stamps of the beam hits, and some auxiliary correlator-related information. Whenever EDI is not in electron drift mode, it uses its ambient electron mode. The mode has the capability to sample at either 90 degrees pitch angle or at 0/180 degrees (field aligned), or to alternate between 90 degrees and field aligned with selectable dwell times. While all options have been demonstrated during the commissioning phase, only the field aligned mode has been used in the routine operations phase. The choices for energy are 250 eV, 500 eV, and 1 keV. The two detectors, which are facing opposite hemispheres, are looking strictly into opposite directions, so while one detector is looking along B the other is looking antiparallel to B (corresponding to pitch angles of 180 and 0 degrees, respectively). The two detectors switch roles every half spin of the spacecraft as the tip of the magnetic field vector spins outside the field of view of one detector and into the field of view of the other detector. These data are a by-product generated from data collected in electric field mode. Whenever no return beam is found in a particular time slot by the flight software to be reported will be flagged with the lowest quality level (quality zero). The ground processing generates a separate data product from these counts data. The EDI instrument paper can be found at: http://link.springer.com/article/10.1007%2Fs11214-015-0182-7. The EDI instrument data products guide can be found at https://lasp.colorado.edu/mms/sdc/public/datasets/fields/.
MMS 3 Electron Drift Instrument (EDI) Quality Zero Counts, Level 2 (L2), Survey Mode, 0.125 s Data
Electron Drift Instrument (EDI) Q0 Survey, Level 2, 0.125 s Data (8 samples/s). EDI has two scientific data acquisition modes, called electric field mode and ambient mode. In electric field mode, two coded electron beams are emitted such that they return to the detectors after one or more gyrations in the ambient magnetic and electric field. The firing directions and times-of-flight allow the derivation of the drift velocity and electric field. In ambient mode, the electron beams are not used. The detectors with their large geometric factors and their ability to adjust the field of view quickly allow continuous sampling of ambient electrons at a selected pitch angle and fixed but selectable energy. To find the beam directions that will hit the detector, EDI sweeps each beam in the plane perpendicular to B at a fixed angular rate of 0.22 °/ms until a signal has been acquired by the detector. Once signal has been acquired, the beams are swept back and forth to stay on target. Beam detection is not determined from the changes in the count-rates directly, but from the square of the beam counts divided by the background counts from ambient electrons, i.e., from the square of the instantaneous signal-to-noise ratio (SNR). This quantity is computed from data provided by the correlator in the Gun-Detector Electronics that also generates the coding pattern imposed on the outgoing beams. If the squared SNR ratio exceeds a threshold, this is taken as evidence that the beam is returning to the detector. The thresholds for SNR are chosen dependent on background fluxes. They represent a compromise between getting false hits (induced by strong variations in background electron fluxes) and missing true beam hits. The basic software loop that controls EDI operations is executed every 2 ms. As the times when the beams hit their detectors are neither synchronized with the telemetry nor equidistant, EDI data have no fixed time-resolution. Data are reported in telemetry slots. In Survey, using the standard packing mode 0, there are eight telemetry slots per second and Gyn Detector Unit (GDU). The last beam detected during the previous slot will be reported in the current slot. If no beam has been detected, the data quality will be set to zero. In Burst telemetry there are 128 slots per second and GDU. The data in each slot consists of information regarding the beam firing directions (stored in the form of analytic gun deflection voltages), times-of-flight (if successfully measured), quality indicators, time stamps of the beam hits, and some auxiliary correlator-related information. Whenever EDI is not in electron drift mode, it uses its ambient electron mode. The mode has the capability to sample at either 90 degrees pitch angle or at 0/180 degrees (field aligned), or to alternate between 90 degrees and field aligned with selectable dwell times. While all options have been demonstrated during the commissioning phase, only the field aligned mode has been used in the routine operations phase. The choices for energy are 250 eV, 500 eV, and 1 keV. The two detectors, which are facing opposite hemispheres, are looking strictly into opposite directions, so while one detector is looking along B the other is looking antiparallel to B (corresponding to pitch angles of 180 and 0 degrees, respectively). The two detectors switch roles every half spin of the spacecraft as the tip of the magnetic field vector spins outside the field of view of one detector and into the field of view of the other detector. These data are a by-product generated from data collected in electric field mode. Whenever no return beam is found in a particular time slot by the flight software to be reported will be flagged with the lowest quality level (quality zero). The ground processing generates a separate data product from these counts data. The EDI instrument paper can be found at: http://link.springer.com/article/10.1007%2Fs11214-015-0182-7. The EDI instrument data products guide can be found at https://lasp.colorado.edu/mms/sdc/public/datasets/fields/.
MMS 4 Electron Drift Instrument (EDI) Quality Zero Counts, Level 2 (L2), Survey Mode, 0.125 s Data
Electron Drift Instrument (EDI) Q0 Survey, Level 2, 0.125 s Data (8 samples/s). EDI has two scientific data acquisition modes, called electric field mode and ambient mode. In electric field mode, two coded electron beams are emitted such that they return to the detectors after one or more gyrations in the ambient magnetic and electric field. The firing directions and times-of-flight allow the derivation of the drift velocity and electric field. In ambient mode, the electron beams are not used. The detectors with their large geometric factors and their ability to adjust the field of view quickly allow continuous sampling of ambient electrons at a selected pitch angle and fixed but selectable energy. To find the beam directions that will hit the detector, EDI sweeps each beam in the plane perpendicular to B at a fixed angular rate of 0.22 °/ms until a signal has been acquired by the detector. Once signal has been acquired, the beams are swept back and forth to stay on target. Beam detection is not determined from the changes in the count-rates directly, but from the square of the beam counts divided by the background counts from ambient electrons, i.e., from the square of the instantaneous signal-to-noise ratio (SNR). This quantity is computed from data provided by the correlator in the Gun-Detector Electronics that also generates the coding pattern imposed on the outgoing beams. If the squared SNR ratio exceeds a threshold, this is taken as evidence that the beam is returning to the detector. The thresholds for SNR are chosen dependent on background fluxes. They represent a compromise between getting false hits (induced by strong variations in background electron fluxes) and missing true beam hits. The basic software loop that controls EDI operations is executed every 2 ms. As the times when the beams hit their detectors are neither synchronized with the telemetry nor equidistant, EDI data have no fixed time-resolution. Data are reported in telemetry slots. In Survey, using the standard packing mode 0, there are eight telemetry slots per second and Gyn Detector Unit (GDU). The last beam detected during the previous slot will be reported in the current slot. If no beam has been detected, the data quality will be set to zero. In Burst telemetry there are 128 slots per second and GDU. The data in each slot consists of information regarding the beam firing directions (stored in the form of analytic gun deflection voltages), times-of-flight (if successfully measured), quality indicators, time stamps of the beam hits, and some auxiliary correlator-related information. Whenever EDI is not in electron drift mode, it uses its ambient electron mode. The mode has the capability to sample at either 90 degrees pitch angle or at 0/180 degrees (field aligned), or to alternate between 90 degrees and field aligned with selectable dwell times. While all options have been demonstrated during the commissioning phase, only the field aligned mode has been used in the routine operations phase. The choices for energy are 250 eV, 500 eV, and 1 keV. The two detectors, which are facing opposite hemispheres, are looking strictly into opposite directions, so while one detector is looking along B the other is looking antiparallel to B (corresponding to pitch angles of 180 and 0 degrees, respectively). The two detectors switch roles every half spin of the spacecraft as the tip of the magnetic field vector spins outside the field of view of one detector and into the field of view of the other detector. These data are a by-product generated from data collected in electric field mode. Whenever no return beam is found in a particular time slot by the flight software to be reported will be flagged with the lowest quality level (quality zero). The ground processing generates a separate data product from these counts data. The EDI instrument paper can be found at: http://link.springer.com/article/10.1007%2Fs11214-015-0182-7. The EDI instrument data products guide can be found at https://lasp.colorado.edu/mms/sdc/public/datasets/fields/.
Transcriptomic analysis and cellular responses to nanoscale zero-valent iron in green microalga Raphidocelis subcapitata
GEO Series GSE234088. Raphidocelis subcapitata. 72 samples. Type: Expression profiling by high throughput sequencing.
Molecular mechanism of zero valent iron-enhanced microbial azo reduction in Shewanella decolorationis S12
GEO Series GSE160493. Shewanella decolorationis. 24 samples. Type: Expression profiling by high throughput sequencing.
Zero-derived nouns and deverbal nominalization: Database for Spanish
<p>This is a collection of Spanish deverbal zero-derived nouns with various information on semantic readings and their ability to realize verbal argument structure. Most of this is information extracted from natural text corpora.<br> </p>
Using zero-inflated models to quantify stochastic and deterministic variation in fecundity
<p>Abstract. Fecundity is a primary component in evolutionary and ecological theory and applications, yet requires long-term study to quantify the range of stochastic variation and deterministic responses to ecosystem dynamics needed to develop strategies to insure population sustainability. Fecundity data often include a large proportion of zeros because many individuals fail to produce young during a breeding season, but surprisingly few fecundity studies use zero-inflated Poisson models. We conducted colorbanding and monthly censuses of Florida scrub-jays (<em>Aphelocoma coerulescens</em>) from 31 years, 15 populations, and 761 territories with much replication across years along central Florida’s Atlantic coast. Our study quantified how fecundity (juveniles/pair/year) was influenced by habitat quality states, presence/absence of nonbreeders, population density, breeder experience, and rainfall considering both success versus failure and count submodels for zero-inflated data with random effects. Habitat quality and the presence of nonbreeders were important deterministic factors having more influence on the success than the count submodel. The results identified the importance of increasing optimal habitat, which was a mid-successional state related to fire frequency and extent, because optimal habitat in territories, and the proportion of optimal territories in the overall population, influenced fecundity of breeding pairs. Populations subject to supplementary feeding also had greater fecundity, but random effects among populations still remained important. Random annual variation was great, but residuals associated with annual variation were not correlated between the success and count submodels. Increased territory size suggested increased success and juvenile counts, but the posterior distributions overlapped zero. Population density, breeder experience, and rainfall surprisingly had no or small effects. The increased fecundity for pairs with nonbreeders, compared to pairs without, identified future empirical research needed to understand how the proportion of marginal habitat influences population recovery and sustainability, because dispersal into marginal habitat can drain nonbreeders from optimal habitat and decrease overall fecundity.</p> <p> </p>
Dataset related to the article "Cardiac surgeon and electrophysiologist shoulder-to-shoulder approach: Hybrid room, a kingdom for two. A zero mortality transvenous lead extraction single center experience"
<p>This record contains raw data related to the article "Cardiac surgeon and electrophysiologist shoulder-to-shoulder approach: Hybrid room, a kingdom for two. A zero mortality transvenous lead extraction single center experience"</p> <p> </p> <p>ABSTRACT</p> <p>BACKGROUND:</p> <p>Nowadays, transvenous lead extraction (TLE) is considered an essential technique in lead management strategy. Since 2011, a multidisciplinary approach was undertaken in our centre involving electrophysiologists, cardiac surgeons and anaesthesiologists to improve cross- unit cooperation and minimize complications and mortality. The present paper reports procedural outcomes and complications of our lead extraction experience.</p> <p>METHODS:</p> <p>We retrospectively collected and analysed data from all consecutive patients undergoing cardiac implantable electronic device leads TLE at the IRCCS Centro Cardiologico Monzino between January 2011 and November 2017.</p> <p>RESULTS:</p> <p>One-hundred fifty patients (111 males, 68 ± 13 years) underwent extraction procedures. The most common extraction indication were infections (86.7%) and TLE was carried out by laser-based approach in 88 (58.6%) patients, by mechanical dilating sheaths in 58 (38.7%) patients and by a combined approach (TLE + open surgical intervention) in 4 (2.7%) patients. Procedural success was obtained in 146 (97.3%) cases with only 3 (2.0%) major complications with 2 cases of structural injury with tamponade requiring emergent median sternotomy. Open surgery extraction was required in 4 patients, after an attempt to TLE, due to leads strict adhesion to cardiac or vascular structures, whereas in 5 (3.3%) cases, the treatment of choice was a combined approach consisting in transvenous leads extraction followed by planned surgery.</p> <p>CONCLUSIONS:</p> <p>TLE is a complex procedure that sometimes leads to fatal complications. In our single center experience, a multidisciplinary approach involving electrophysiologist, cardiac surgeon, anaesthesiologist in an operating room allows a safer approach and major complications treatment.</p>
Dataset related to the article "Long-Term Outcomes of Near-Zero Radiation Ablation of Paroxysmal Supraventricular Tachycardia: A Comparison With Fluoroscopy-Guided Approach"
<p>This record contains raw data related to the article "Long-Term Outcomes of Near-Zero Radiation Ablation of Paroxysmal Supraventricular Tachycardia: A Comparison With Fluoroscopy-Guided Approach".</p> <p> </p> <p><em><strong>Abstract</strong></em></p> <p><strong>Objectives: </strong>This study aimed to assess the long-term outcomes of minimally fluoroscopic approach (MFA) compared with conventional fluoroscopic ablation (ConvA) in terms of recurrences of arrhythmia and long-term complications.</p> <p><strong>Background: </strong>Catheter ablation (CA) of supraventricular tachycardia (SVT) with an MFA, under the guidance of electroanatomic mapping (EAM) systems, results in a significant reduction in exposure to ionizing radiations without impairing acute procedural success and complication rate. However, data regarding long-term outcomes of MFA compared with ConvA are lacking.</p> <p><strong>Methods: </strong>This is a retrospective observational study. All patients undergoing MFA CA of SVT (atrioventricular nodal re-entrant tachycardia and atrioventricular re-entrant tachycardia) between 2010 and 2015 were enrolled and were compared with matched subjects (1 MFA: 2 ConvA) undergoing ConvA during the same period. The 2 co-primary outcomes were recurrence of arrhythmias and long-term complications.</p> <p><strong>Results: </strong>A total of 618 patients (mean age 38 ± 15 years, 60% female) were enrolled. MFA included 206 patients, whereas 412 were treated with ConvA. Acute success (99% vs. 97%; p = 0.10) and acute complications (2.4% vs. 5.3%; p = 0.14) were similar in the 2 groups. During a median follow-up of 4.4 years, 5.9% of patients experienced recurrence of arrhythmias. At multivariate analysis, ConvA (hazard ratio [HR]: 3.03) and procedural success (HR: 0.10) were independently associated with recurrence of arrhythmias. Late complications (i.e., advance atrioventricular block and need for pacemaker implantation) occurred more frequently in ConvA (3.4% vs. 0.5%; p = 0.03) compared with MFA.</p> <p><strong>Conclusions: </strong>CA guided by EAM systems with MFA provided better long-term results and reduced risk of complications compared with ConvA.</p>
Audio data from Mobile scenario from "Perils of Zero-Interaction Security in the Internet of Things"
<p>This deposit contains the recorded audio data from the Mobile scenario in the paper "Perils of Zero Interaction Security in the Internet of Things" by Mikhail Fomichev, Max Maass, Lars Almon, Alejandro Molina, Matthias Hollick, in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 3, Issue 1. See the <a href="https://dx.doi.org/10.5281/zenodo.2537721">index of all related datasets</a> for more details on the paper, and see the included README for details on this dataset.</p> <p>This dataset also has a second part that contains the sensor data data recorded in this scenario, which is not access controlled. See <a href="http://dx.doi.org/10.5281/zenodo.2537703">this deposit</a> for more details.</p>
Data_The importance of target product engineering for long-term operation of CO2 zero-gap electrolysers
<p>The folder contains the processed data of figures 2, 3, 4, 5, 6, 7, 8, S9, S14, S15, S16, S17, S18 and S19 that appear in:</p> <p>Duarte, M.; Hereijgers, J.; Daems, N.; van Daele, S.; Breugelmans, T. The Importance of Target Product Engineering for Long-Term Operation of CO2zero-Gap Electrolysers. J Environ Chem Eng 2022, 10 (3). https://doi.org/10.1016/j.jece.2022.107836.</p>
Data_Direct Water Injection in Catholyte-Free Zero-Gap Carbon Dioxide Electrolyzers
<p>The folder contains the processed data of figures 3, 4, 5, S4, S7 and S10 that appear in:</p> <p>B. De Mot, M. Ramdin, J. Hereijgers, T. J. H. Vlugt, T. Breugelmans, <em>ChemElectroChem</em> <strong>2020</strong>, <em>7</em>, 3839.</p>
Plano Diretor do ProSavana: Draft Zero
<p>This is the Master Plan for the trilateral south-south cooperation project called ProSavana. </p>
Solutions to achieve net-zero emissions in irrigated agriculture
<p>The original geospatial data of the figure.S5-9.</p> <p>The dataset contains:</p> <p>-Global energy consumption and carbon emissions from irrigation . Units: Terajoule/year and Million tonnes CO2/year. </p> <p>-Energy consumption and carbon emissions with different irrigation systems. Units: Terajoule/year and Million tonnes CO2/year. </p> <p>-Global energy consumption under drip and sprinkler scenarios. Units: Terajoule/year</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.