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1,548 results for “Trajectories”
Trajectories of Health-Related Quality of Life, Health Literacy, and Self-Efficacy in Curatively-Treated Patients with Esophageal Cancer: A Longitudinal Single-Center Study in Italy
<p>Dataset from Trajectories of Health-Related Quality of Life, Health Literacy, and Self-Efficacy in Curatively-Treated Patients with Esophageal Cancer: A Longitudinal Single-Center Study in Italy <a href="https://journals.sagepub.com/doi/full/10.1177/23743735211060769">Arianna Magon</a>, RN, MSN, PhD, <a href="https://journals.sagepub.com/doi/full/10.1177/23743735211060769">Rosario Caruso</a>, PhD, <a href="https://journals.sagepub.com/doi/full/10.1177/23743735211060769">Andrea Sironi</a>, MD, <a href="https://journals.sagepub.com/doi/full/10.1177/23743735211060769">Sabrina Mirabella</a>, RN, MSN, <a href="https://journals.sagepub.com/doi/full/10.1177/23743735211060769">Federica Dellafiore</a>, PhD, RN, <a href="https://journals.sagepub.com/doi/full/10.1177/23743735211060769">Cristina Arrigoni</a>, RN, MSc, <a href="https://journals.sagepub.com/doi/full/10.1177/23743735211060769">Luigi Bonavina</a>, MD, FACS <a href="https://doi.org/10.1177%2F23743735211060769">https://doi.org/10.1177/23743735211060769</a> </p> <p>Abstract</p> <p>This prospective longitudinal study aimed to describe the trajectories of HRQoL, health literacy, and self-efficacy in patients with esophageal cancer, which have been thus far poorly described. Data were collected at baseline (preoperative phase) and in the postoperative period (two weeks, and one, two, and three months after esophagectomy). The study hypothesis was that health literacy and self-efficacy might predict better health status and quality of life over time. Forty-five patients were enrolled between 2018 and 2019. HRQoL, health literacy, and self-efficacy were assessed using validated scales. The ability to analyze information to exert greater control over life events critically (critical health literacy) (η<sup>2</sup><em>p</em> =&thinsp;0.660) and the individual's confidence in dealing with challenging tasks (self-efficacy) (η<sup>2</sup><em>p</em> =&thinsp;0.501) strongly predicted the scores of general health status over time. Overall, the functional status improved at 3 months after surgery, and this trend paralleled the decline of cancer-specific and surgery-related symptoms. In conclusion, researchers and clinicians should pay greater attention to optimizing baseline health literacy and self-efficacy levels. Future educational and motivational interventions should be further tested and possibly integrated into the prehabilitation programs.</p>
SPARK 2022 Dataset : Spacecraft Detection and Trajectory Estimation
<p>SPARK2022 Challenge aims to design data-driven approaches for spacecraft detection and trajectory estimation. SPARK will utilise data synthetically simulated with a state-of-the-art rendering engine in addition to data collected from the Zero-Gravity Laboratory (Zero-G Lab) facility at the University of Luxembourg.</p> <p>Stream 1 – Spacecraft Detection</p> <p>Detecting space objects: localize and classify the object by estimating its bounding box and label.</p> <p>Stream 2 – Spacecraft Trajectory Estimation</p> <p>Leveraging the knowledge of temporal data to estimate the 6DoF pose of the spacecraft.</p> <p> </p>
Bifurcating trajectories: multidimensional specialization vs multidimensional generalization
<p>Project folder for publication "Bifurcating trajectories: multidimensional specialization vs multidimensional generalization" containing: 1) job scripts and raw data to replicate analyses, 2) intermediate and final files output by scripts, and 3) HTML outputs of RMarkdown files containing results from statistical analyses. Descriptions of files, scripts, and folders in README file.</p> <p>Manuscript Abstract:</p> <p>Habitat specialization underpins biological processes from species distributions to speciation. However, organisms are often described as specialists or generalists based on a single niche axis, despite facing complex, multidimensional environments. Here, we analyzed 236 prokaryotic communities across the United States demonstrating for the first time that 96% of >1,200 prokaryotes followed one of two trajectories: specialization on all niche axes (multidimensional specialization) or generalization on all axes (multidimensional generalization). We then documented that this pervasive multidimensional specialization/generalization had a wide range of ecological and evolutionary consequences, including impacts on (1) species dominance with multidimensional generalists 108-times more abundant than specialists, (2) evolutionary trajectories with generalist-to-specialist transitions occurring ~20% less than expected, and (3) community structure with multidimensional specialists ~45% more connected within microbiome networks. These results indicate that multidimensional generalization supports larger populations and is more evolutionarily stable while multidimensional specialists, which are less common, still play important roles within communities, likely stemming from their overrepresentation among pollutant detoxifiers and nutrient cyclers. Taken together, we demonstrate that virtually all soil prokaryotes are restricted to one of two multidimensional niche trajectories, multidimensional specialization or multidimensional generalization, which then has far-reaching consequences for microbial dominance, evolutionary transitions, and community roles.</p>
Gromacs Trajectories of a 200ns simulation of Haloferax volcanii ADH2 in ionic liquids
<p>Gromacs Trajectories of a 200ns simulation of Haloferax volcanii ADH2 in ionic liquids converted from amber trajectories</p>
VG2 URA TRAJECTORY DERIVED SUMM U1 COORDS 48SEC V1.0
This dataset contains Voyager 2 spacecraft position vectors relative to Uranus in minus U1 coordinates. The U1 or Uranus West Longitude System coordinate system is a planetocentric system fixed to Uranus which is rotating with a 17.24 hour period.
VG2 NEP TRAJECTORY DERIVED SUMM NLS COORDS 12SEC V1.0
This dataset contains Voyager 2 spacecraft position vectors relative to Neptune in minus NLS coordinates. The NLS or Neptune West Longitude System coordinate system is a planetocentric system fixed to Neptune which is rotating with a 16.11 hour period.
VG2 NEP TRAJECTORY DERIV SUMM HELIOGRAPHIC COORDS 48SEC V1.0
This dataset contains Voyager 2 position vectors relative to the Sun in both cartesian and spherical Heliographic coordinates for the time period when Voyager was near Neptune but not within its magnetosphere. The magnetospheric gap in this dataset occurs from 1989-08-25 02:00 -> 1989-08-26 00:00. Spacecraft position vectors are given in Neptune Longitude System (NLS) coordinates in this interval. The position vectors are given every 48 seconds. The units of the vector components are Au and degrees. Vectors are stored as 4-byte floating point values.
VG2 URA TRAJECTORY DERIV SUMM HELIOGRAPHIC COORDS 48SEC V1.0
This dataset contains Voyager 2 position vectors relative to the Sun in both cartesian and spherical Heliographic coordinates for the time when Voyager 2 was near Uranus but not within its magnetosphere. The position vectors are given every 48 seconds. The units of the vector components are Au and degrees. Vectors are stored as 4-byte floating point values.
GALILEO ORBITER V POS VENUS TRAJECTORY V1.0
Galileo Orbiter 60 second sampled trajectory data from the Venus flyby in Venus Solar Orbital (VSO) coordinates. These data cover the interval 1990-02-09 00:00 to 1990-02-11 00:00.
GO JUP POS GLL TRAJECTORY JUPITER CENTERED COORDINATES V1.0
This data set contains the Galileo spacecraft trajectory data in three coordinate systems commonly used in the analysis of jovian magnetospheric data. These include System III (1965.0), Jupiter Solar Equatorial (JSE), and Jupiter Solar Magnetospheric (JSM) coordinates. The data are sampled every minute inside of 30 Jupiter radii, every ten minutes between 30 and 100 Rj, and every 30 minutes outside of 100 Rj. The data are derived from SPICE SP kernels which are archived at the NAIF Node of the PDS.
ATC Taskload Inherent to the Geometry of Stochastic 4-D Trajectory Flows with Flight Technical Errors
A method to quantify the probabilistic controller taskload inherent to maintaining aircraft adherence to 4-D trajectories within flow corridors is presented. An Ornstein- Uhlenbeck model of the aircraft motion and a Poisson model of the flow scheduling are introduced along with reasonable numerical values of the model parameters. Analytic expressions are derived for the taskload probability density functions for basic functional elements of the flow structure. Monte Carlo simulations are performed for these basic functional elements and the controller taskload probabilities are exhibited.
GO JUP POS GLL TRAJECTORY MOON CENTERED COORDS V1.0
This data set contains Galileo trajectory data in moon (Amalthea, Io, Europa, Ganymede, Callisto) centered coordinates for all of the near satellite encounters. Ephemeris data are provided every two seconds for approximately one hour about closest approach.
Weight-Change Trajectories of Pediatric Outpatients Treated with Risperidone or Aripiprazole in a Naturalistic Setting
<p>Raw data. The set contains prospective data of body parameters from patients with neurodevelopmental disorders and data on their drug therapies.</p>
Trajectories of acoustically tracked subsurface floats in the western Gulf of Mexico from the Deep Water Dispersion Experiment
<p>This dataset is comprised of the final processed data collected by 83 RAFOS floats deployed in the western Gulf of Mexico during the Deep Water Dispersion Experiment (DWDE), as part of the project “Implementación de redes de observación oceanográficas (físicas geoquímicas, ecológicas) para la generación de escenarios ante posibles contingencias relacionadas a la exploración y producción de hidrocarburos en aguas profundas del Golfo de México” of the Gulf de Mexico Research Consortium (CIGoM), funded by CONACYT‐SENER‐Hydrocarbon Fund, Mexico”. </p> <p>In this experiment, surface drifters were deployed in the same location as the RAFOS floats. The drifter database can be accessed here: <a href="https://doi.org/10.5281/zenodo.3979964">https://doi.org/10.5281/zenodo.3979964</a>.</p> <p>Ramsey, Andree L., Furey, Heather H., Bower, Amy S., Pérez-Brunius, Paula, García-Carrillo, Paula, "The Deep Water Dispersion Experiment: RAFOS float data report June 2016 - January 2019", 2019-12. Technical report. Woods Hole Oceanographic Institution. DOI:10.1575/1912/25273, <a href="https://hdl.handle.net/1912/25273">https://hdl.handle.net/1912/25273</a></p> <p> </p> <p> </p>
throwing trajectories
<p>Throwing trajectories recorded with a motion capture system</p>
SPARK 2024: Datasets for Spacecraft Semantic Segmentation and Spacecraft Trajectory Estimation
<p>SPARK 2024 dataset is part of SPARK challenge aims to design data-driven approaches for Spacecraft Semantic Segmentation and Trajectory Estimation. SPARK 2024 dataset will utilize data synthetically simulated with a state-of-the-art rendering engine in addition to the data collected from the Zero-Gravity Laboratory (Zero-G Lab) facility at SnT – Interdisciplinary Center for Security, Reliability, and Trust, University of Luxembourg.</p> <p>Stream 1 – Spacecraft Semantic Segmentation intended for segmenting space objects to classify pixel values based on which part of the object they belong to.</p> <p>Stream 2 – Spacecraft Trajectory Estimation intended to leveraging the knowledge of temporal data to estimate the 6DoF pose of the spacecraft.</p> <h4>Request access</h4> <p>If you would like to request access to the dataset, Please visit <a href="https://cvi2.uni.lu/spark2024/">https://cvi2.uni.lu/spark2024/</a> to register and get access to dataset.</p>
The non-telomeric evolutionary trajectory of TRF2 in zebrafish reveals its specific roles in neurodevelopment and aging
<p>The figures of publication: <strong>The non-telomeric evolutionary trajectory of TRF2 in zebrafish</strong></p> <p><strong>reveals its specific roles in neurodevelopment and aging</strong></p>
Molecular dynamics trajectories for "SARS-CoV-2 variants impact RBD conformational dynamics and ACE2 accessiblity"
<p>Dataset of molecular dynamics trajectories obtained for "SARS-CoV-2 variants impact RBD conformational dynamics and ACE2 accessiblity"</p> <p>Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has killed over 6 million people and is causing a devastating social and economic impact all over the world. The rise of new variants of concern (VOCs) represents a difficult challenge due to the loss of vaccine and natural immunity, and increased transmissibility. All VOCs contain mutations in the spike glycoprotein, which mediates fusion between the viral and host cell membranes, via its receptor binding domain (RBD) that binds to angiotensin-converting enzyme 2 (ACE2). In an attempt to understand the effect of RBD mutations in the VOCs, a lot of attention has been given to the RBD-ACE2 interaction. However, this type of analysis ignores more indirect effects, such as the conformational dynamics of the RBD itself. Observing that some VOCs mutations occur in residues that are not in direct contact with ACE2, we hypothesized that they could affect RBD conformational dynamics. To test this, we performed long atomistic (AA) molecular dynamics (MD) simulations to investigate the structural dynamics of wt RBD, and that of four VOCs (alpha, beta, delta, and omicron). Our results show that, in solution, wt RBD presents two distinct conformations: an “open” conformation where it is free to bind ACE2; and a “closed” conformation, where the RBM ridge blocks the binding surface. The alpha and beta variants shift the open/closed equilibrium towards the open conformation by roughly 20%, likely increasing ACE2 binding affinity. Simulations of the delta and omicron variants showed extreme results, with the closed conformation either barely observed or not observed at all. The delta variant also differed from the other variants substantially, alternating between the open conformation and an alternative “reversed” one, with a significantly changed orientation of the RBM ridge. This alternate conformation could potentially provide a fitness advantage due to increased availability for ACE2 binding, and by aiding antibody escape through epitope occlusion. These results support the hypothesis that VOCs, and particularly the omicron and delta variant, impact RBD conformational dynamics in a direction that promotes efficient binding to ACE2 and, in the case of delta, antibody escape.</p>
Trajectories of aircraft landing at Toulouse–Blagnac (LFBO/TLS) airport: from December 5th to 30th 2016
<p>The trajectories are provided as a gzipped csv text file.</p> <p>The first line describes each column of the file:</p> <ul> <li>icao24 is a unique identifier for the aircraft,</li> <li>callsign refers to the route flown by the aircraft on that day,</li> <li>timestamp/lat/lon/alt are 4-dimension coordinates for each trajectory</li> </ul> <p> </p>
The trajectories of deep convective cloud air parcels over Manaus, Brazil simulated by MIMICA LES / CRM
<p>The dataset contains trajectories of the deep convective clouds simulated with MIMICA code based on soundings retrieved on April 8, 2020, April 23, 2020, and April 27, 2020, over Manaus, Brazil.</p> <p><br> OUTPUT folder contains all 500 air parcel trajectories retrieved from MIMICA.<br> OUTPUT_MEAN folder contains all the bin averaged parcels</p> <p>Parcel data contains values for coordinate (X, Y, Z), velocity components (U, V, W), potential temperature (PTIL), total water content (QT), water vapor (QV), condensate density (QC), precipitation density (QR), net precipitation change (QR_FLUX), relative humidity (RH), buoyancy (BUOY), temperature (T), pressure (P), resolved TKE (KRES), SGS TKE (SGS_TKE), turbulent diffusion (TDIFF) are provided for each parcel at every time step of the simulation.</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.