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958 results for “Data quality”
MMS 1 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/.
ACE Solar Wind Ion Composition Spectrometer (SWICS) Solar Wind Plasma Elemental Charge State Distributions with Statistical Uncertainties and Data Quality Flags, Level 2 (L2), 2 h Data
This ACE SWICS/SWIMS Data Set contains actual Charge State, Q, Distributions of Carbon, Oxygen, Neon, Magnesium, Silicon and Iron as opposed to the averaged Charge States that have been available on CDAWeb for some time. The Solar Wind Ion Composition Spectrometer (SWICS), prior to August 23, 2011 and denoted as SWICS Version 1.1, determines uniquely the Chemical and Ionic Charge State Composition of the Solar Wind, the Temperatures and Mean Speeds of major Solar Wind Ions at all Speeds above 300 km/s for Protons and 170 km/s for Fe+16, and resolves Protons and Helium Isotopes of Solar and Interstellar Sources. SWICS 1.1 measures the Distribution Functions of Interstellar Cloud Pick-Up Ions and Interplanetary Dust Cloud Pick-Up Ions up to Energies of 100 keV/e. The ACE SWICS 1.1 Data Products represent a new Release of the Data with significantly improved Time Series Measurements for the Elemental Abundance, Charge State Composition, and Kinetic Properties of Heavy Ions in the Solar Wind. It is a major new Update produced with completely redesigned Analysis Methods to account more rigorously for Instrumental and Statistical Effects (Shearer et al., 2014). Rare Elements are now identified more reliably and Estimates of Statistical Error are provided. Release Notes are available that describe the Data, the Methods used to determine the Data Values, and Issues concerning Data Quality and Measurement Uncertainty. The Quality of ACE Level 2 Data is such that it is suitable for serious Scientific Study. However, to avoid Confusion and Misunderstanding, it is recommended that Users consult with the appropriate ACE Team Members before publishing Work derived from the Data. The ACE Team has worked hard to ensure that the Level 2 Data are free from Errors, but the Team cannot accept Responsibility for Erroneous Data, or for Misunderstandings about how the Data may be used. This is especially true if the appropriate ACE Team Members are not consulted before Publication. At the very least, Preprints should be forwarded to the ACE Team before Publication. For more Information about the SWICS Instrument, visit the SWICS Home Page at http://solar-heliospheric.engin.umich.edu/ace.
MMS 1 Electron Drift Instrument (EDI) Quality 0 Counts, Level 2 (L2), Burst Mode, 7.8125 ms Data
Electron Drift Instrument (EDI) Q0 Burst Survey, Level 2, 0.0078125 s Data (128 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 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/.
Machine Learning solution for machining quality prediction using acoustic emissions, accelerometers and current data
<p>This outcome contains the dataset used to train tool wear & quality prediction algorithms in a milling context. The data model is composed of three data sources (acoustics emission, accelerometers & currents). The acoustics emissions and accelerometers are recorded on an external machine which needs a post-synchronization. The currents are recorded by the system that directly monitors the machine.</p> <p><em>Acoustics emission (file: toolwear_2020_ae.zip):</em> In a previous data acquisition (not published), the acoustic emission was recorded using three sensors (on the raw part, on the axis closest to the part & outside the machine), but in this dataset, it is only composed of one sensor positioned inside the machine. The sampling rate is 200kHz.</p> <p><em>Accelerometers (file: toolwear_2020_acc.zip):</em> The accelerometer dataset is composed of nine different sensors with an acquisition frequency of 20kHz. One signal is dedicated to the synchronization between other data sources (acoustics emission & currents). Five signals are installed on the spindle axis, two (XY directions) on the top of the spindle and three (XYZ directions) on the bottom of the axis. The last three (XYZ directions) are located on the axis nearest to the part.</p> <p><em>Currents (file: toolwear_2020_axes.zip):</em> The machine is composed of five axes and one spindle. For each motor, the current is acquired and stored into the monitoring system of the CNC. The frequency data acquisition is 1kHz.</p>
easyPairedTag: A Comprehensive Pipeline for Paired-Tag Data Quality Control and Analysis
GEO Series GSE300580. Mus musculus. 17 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Water quality and discharge monitoring data in Bavarian Forest National Park, Germany
<p>This dataset was used for a study that investigates temporal evolution of nitrate concentration in stream and related hydrological processes after dieback of forest affected by bark beetle.</p> <p>Hydrochemical monitoring data consist of discharge (m³/s), concentrations of nitrogen, phosphorus, organic carbon and minerals (mg/L), water temperature (C°), pH, conductivity (µS/cm), etc.</p> <p>Please see original data sources for more information.</p> <p>Große Ohe and Markungsgraben stream data were provided by the Bavarian Environment Agency (LFU)<br> <a href="https://www.lfu.bayern.de/wasser/gewaesserqualitaet_fluesse/messnetze/index.htm">https://www.lfu.bayern.de/wasser/gewaesserqualitaet_fluesse/messnetze/index.htm</a></p> <p>Forellenbach stream data were provided by the Federal Environment Agency (UBA).<br> The Forellenbach catchment is part of the Integrated Monitoring Programme under the UNECE Convention on Long-Range Transboundary Air Pollution (1979). <a href="https://www.umweltbundesamt.de/themen/luft/messenbeobachtenueberwachen/medienuebergreifendes-monitoring-in-der#icp-integrated-monitoring">https://www.umweltbundesamt.de/themen/luft/messenbeobachtenueberwachen/medienuebergreifendes-monitoring-in-der#icp-integrated-monitoring</a></p>
Data about Visuo-tactile and topographic characterizations of finished surface quality of oak and beech wood surfaces by French consumers and industrials: acceptability thresholds for raised grain
<p>Excel file containing the raw data of a paper published in Annals of Forest Science Journal intitled «<strong>Visuo-tactile and topographic characterizations of finished surface quality of oak and beech wood surfaces by French consumers and industrials: acceptability thresholds for raised grain</strong>».</p> <p>Data concern topographical parameters (roughness and waviness parameters) measured on varnished surfaces (with one coat and two coats) of oak and beech woods.</p> <p>These data were correlated with the visuo-tactile perceptions of raised grain which occurs on these varnished surfaces (with one coat), and the visuo-tactile preferences of finished surface quality by industrials and consumers.</p>
Data from: Health-related quality of life and associated factors after hip fracture. Results from a six-month prospective cohort study
<p>This is the raw data and R code from the paper "Health-related quality of life and associated factors after hip fracture. Results from a six-month prospective cohort study" (project EMAAge).</p> <p><strong>Background.</strong> Hip fractures are a major public health problem with increasing relevance in aging societies. They are associated with high mortality rates, morbidity, and loss of independence. The aim of the EMAAge study was to determine the impact of hip fractures on patient-reported health-related quality of life (HRQOL), and to identify potential risk factors for worse outcomes. </p> <p><strong>Methods.</strong> EMAAge is a multicenter, prospective cohort study of patients who suffered a hip fracture. Patients or, if necessary, proxies were interviewed after initial treatment and after six months using standardized questionnaires including the EQ-5D-5L instrument, the Oxford Hip Score, the PHQ-4, the Short Nutritional Assessment Questionnaire, and items on patients’ living situation. Medical data on diagnoses, comorbidities, medications, and hospital care were derived from hospital information systems. </p> <p><strong>Results. </strong>A total of 326 patients were included. EQ-5D index values decreased from a mean of 0.70 at baseline to 0.63 at six months. The mean self-rated health on the EQ-VAS decreased from 69.9 to 59.4. Multivariable linear regression models revealed three relevant associated factors with the six-months EQ-5D index: symptoms of depression and anxiety, pre-fracture limitations in activities of daily living, and no referral to a rehabilitation facility had a negative impact. In addition, the six-months EQ-VAS was negatively associated with polypharmacy, living in a facility, and migration background. </p> <p><strong>Conclusions. </strong>Hip fractures have a substantial negative impact on patients’ HRQOL. Our results suggest that there are modifying factors that need further investigation including polypharmacy and migration background. Structured and timely rehabilitation seems to be a protective factor.</p>
Test case data for ChIC - ChIP-seq quality control pipeline
GEO Series GSE119932. Mus musculus. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
OUTDATED: BfR Compilation of Processing Factors and Evaluation of Quality Controlled Data of Food Processing Studies
<p>See updated version: <a href="../records/6827098">https://zenodo.org/records/6827098</a></p>
Data set from the article Holbein CE, Veldtman GR, Moons P, Kovacs AH, Luyckx K, Apers S, Chidambarathanu S, Soufi A, Eriksen K, Jackson JL, Enomoto J, Fernandes SM, Johansson B, Alday L, Dellborg M, Berghammer M, Menahem S, Caruana M, Kutty S, Mackie AS, Thomet C, Budts W, White K, Sluman MA, Callus E, Cook SC, Khairy P, Cedars A; APPROACH-IS consortium and the International Society for Adult Congenital Heart Disease (ISACHD). Perceived Health Mediates Effects of Physical Activity on Quality of Life in Patients With a Fontan Circulation. Am J Cardiol. 2019 Jul 1;124(1):144-150. doi: 10.1016/j.amjcard.2019.03.039. Epub 2019 Apr 10. PMID: 31030969.
<p>Data set from the article Holbein CE, Veldtman GR, Moons P, Kovacs AH, Luyckx K, Apers S, Chidambarathanu S, Soufi A, Eriksen K, Jackson JL, Enomoto J, Fernandes SM, Johansson B, Alday L, Dellborg M, Berghammer M, Menahem S, Caruana M, Kutty S, Mackie AS, Thomet C, Budts W, White K, Sluman MA, Callus E, Cook SC, Khairy P, Cedars A; APPROACH-IS consortium and the International Society for Adult Congenital Heart Disease (ISACHD). Perceived Health Mediates Effects of Physical Activity on Quality of Life in Patients With a Fontan Circulation. Am J Cardiol. 2019 Jul 1;124(1):144-150. doi: 10.1016/j.amjcard.2019.03.039. Epub 2019 Apr 10. PMID: 31030969.</p> <p> </p> <p>This is the abstract:</p> <p>Patients with a Fontan circulation are at risk of a sedentary lifestyle. Given the direct relationship between physical activity and health, promotion of physical activity has the potential to improve outcomes, including quality of life (QOL). This study aimed to describe self-reported physical activity levels in adult Fontan patients and examine associations between physical activity, perceived health status and QOL. The sample consisted of 177 Fontan patients (M<sub>age</sub> = 27.5 ± 7.6 years, 52% male) who reported their physical activity, perceived health status, and QOL as part of the cross-sectional Assessment of Patterns of Patient-Reported Outcomes in Adults with Congenital Heart disease - International Study. Descriptive statistics and univariate analyses of variance with planned contrasts were computed to describe physical activity characteristics. Mediation analyses tested whether perceived health status variables mediated the association between physical activity and QOL. Forty-six percent of patients were sedentary while only 40% met international physical activity guidelines. Higher physical activity was associated with younger age, lower NYHA class, higher perceived general health, and greater QOL. Patients who commuted by walking and engaged in sports reported better perceived health and QOL. Mediation analyses revealed that perceived general health but not NYHA functional class mediated the association between physical activity and QOL (αβ = 0.22, 95% confidence interval = 0.04 to 0.49). In conclusion, Fontan patients likely benefit from regular physical activity, having both higher perceived general health and functional capacity; greater perceived health status may contribute to enhanced QOL. In conclusion, these data support the pivotal role of regular physical activity for Fontan patients.</p>
Data set from Varrica A, Caldaroni F, Saitto G, Satriano A, Lo Rito M, Chiarello C, Ranucci M, Frigiola A, Giamberti A. Outcomes and Quality of Life After Ross Reintervention: Would You Make the Same Choice Again? Ann Thorac Surg. 2020 Jul;110(1):214-220. doi: 10.1016/j.athoracsur.2019.10.007. Epub 2019 Nov 23. PMID: 31770502.
<p>Data set from Varrica A, Caldaroni F, Saitto G, Satriano A, Lo Rito M, Chiarello C, Ranucci M, Frigiola A, Giamberti A. Outcomes and Quality of Life After Ross Reintervention: Would You Make the Same Choice Again? Ann Thorac Surg. 2020 Jul;110(1):214-220. doi: 10.1016/j.athoracsur.2019.10.007. Epub 2019 Nov 23. PMID: 31770502</p> <p> </p> <p>This is the abstract:</p> <p><strong>Background: </strong>The Ross procedure was introduced as a long-term if not definitive solution for aortic pathology. However, the rate of reoperation is not negligible.</p> <p><strong>Methods: </strong>This single-center prospective study assessed the general outcome of Ross reoperation and patients' perceived quality of life compared with 2 control groups (Ross non-reoperation and mechanical aortic valve replacement). Patient's preference regarding the choice between mechanical aortic valve and Ross procedure was investigated in a subgroup that could theoretically have been directed to either of the 2 procedures.</p> <p><strong>Results: </strong>Between 2005 and 2017, 64 consecutive patients underwent reoperation after Ross. Median age was 31 years. Median freedom from reoperation after the Ross procedure was 136 months. An autograft reoperation was required in 49, and 25 had homograft failure. No in-hospital death was recorded. Mean follow-up was 77 months (range, 6-164 months). Quality of life was assessed with the 36-Item Short Form Health Survey questionnaire. The Ross reoperation group showed a lower score involving psychological concerns compared with the other groups. In the reoperated-on patients group, 52 had adequate aortic annulus dimensions to receive a prosthetic valve instead of a Ross procedure. When asked whether they would make the same choice, only 31% confirmed the preference.</p> <p><strong>Conclusions: </strong>Reoperations after Ross procedure have low mortality and morbidity. Long-term follow-up showed a high quality of life, even after reoperations. However, owing to psychological concerns after the redo operation, when choosing a Ross procedure, it is our duty to thoroughly explain to patients that a high level of disillusion is predictable in case of reoperations.</p>
Perceived quality of care and choice of healthcare provider in informal settlements - data
<p>This dataset supports the submissions of the paper " Perceived quality of care and choice of healthcare provider in informal settlements " and has been made available for the purposes of peer review.</p> <p>The .zip file contains anonymised survey data pertaining to individuals across all the sites, and separate files pertaining to HCF surveys at each of the sites. Shapefiles for each of the sites have also been shared which contain the site's dwellings.</p>
Water quality data for 103 rivers
<p>Basic physical and chemical properties of 103 rivers, such as temperature, pH, dissolved oxygen (DO), total dissolved solids (TDS), Conductivity, Specific resistance, salinity, ammonia nitrogen, nitrate nitrogen, chlorophyll-a, heavy metal ion content and DOM characteristics.</p>
QuLog: Data-Driven Approach for Log Instruction Quality Assessment
<p>Reviewers are allowed to access upon request</p>
ScienceDex guides
Understand access before you commit
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.