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10,119 results for “IT Support”
Supporting data to 'Correlations between sea-level components are driven by regional climate change'
<p>Dataset supporting the initial submission of the manuscript 'Correlations between sea-level components are driven by regional climate change'</p>
A comparative assessment of the dentoskeletal effects of clear aligners versus miniplate-supported posterior intrusion with fixed appliances in adult anterior open bite patients. A multi-centre, retrospective cohort study.
<p>In this retrospective study, the aim was to evaluate the dentoskeletal effects of clear aligner treatment (Invisalign®) versus miniplate-supported posterior intrusion (MSPI) in adults with anterior open bite.</p>
Investigating Multi and Many-Objective Metaheuristics to Support Software Integration Testing
<p> In spite of the fact that Search-Based Software Testing (SBST) is a very appealing field today, there are few studies that deal with software integration testing and, even so, most of these works are not truly related to the generation of test cases to this testing level. In this paper, we present a method, InMeHy, which aims at investigating the use of metaheuristics to derive integration test cases based on C++ source code. A graph is created based on the code which represents the integration of several classes of the application. Multi and Many-Objective metaheuristics (Evolutionary Algorithms) were considered to generate integration test cases and were assessed via three quality indicators. Results show that the traditional Indicator-Based Evolutionary Algorithm (IBEA) turned out to be the best out of four algorithms evaluated, including newer Many-Objective strategies such as Nondominated Sorting Genetic Algorithm-III (NSGA-III).</p>
Supporting user preferences in search-based product line architecture design using Machine Learning
<p>The Product Line Architecture (PLA) is one of the most important artifacts of a Software Product Line. PLA design requires intensive human effort as it involves several conflicting factors. In order to support this task, an interactive search-based approach, automated by a tool named OPLA-Tool, was proposed in a previous work. Through this tool the software architect evaluates the generated solutions during the optimization process. Considering that evaluating PLA is a complex task and search-based algorithms demand a high number of generations, the evaluation of all solutions in all generations cause human fatigue. In this work, we incorporated in OPLA-Tool a Machine Learning (ML) model to represent the architect in some moments during the optimization process aiming to decrease the architect's effort. Through the execution of a quanti-qualitative exploratory study it was possible to demonstrate the reduction of the fatigue problem and that the solutions produced at the end of the process, in most cases, met the architect’s needs.</p>
Shell biomass material supported nano-zero valent iron to remove Pb2+ and Cd2+ in water
Nanoscale zero-valent iron (NZVI) has a high adsorption capacity for heavy metals, but easily forms aggregates. Herein, preprocessed undulating venus shell (UVS) is used as support material to prevent NZVI from reuniting. The SEM and TEM results show that UVS had a porous layered structure and NZVI particles were evenly distributed on the UVS surface. A large number of adsorption sites on the surface of UVS-NZVI are confirmed by IR and XRD. UVS-NZVI is utilized for adsorption of Pb2+ and Cd2+ at pH=6 in aqueous solution, and the experimental adsorption capacities are 29.91 mg•g-1 and 38.99 mg•g-1 at optimal pH, respectively. Thermodynamic studies indicate that the adsorption of ions by UVS-NZVI is more in line with the Langmuir model when Pb2+ or Cd2+ existed alone. For the mixed solution of Pb2+ and Cd2+, only the adsorption of Pb2+ by UVS-NZVI conforms to the Langmuir model. In addition, the maximum adsorption capacities of UVS-NZVI for Pb2+ and Cd2+ are 93.01 mg•g-1 and 46.07 mg•g-1.Kinetic studies demonstrate that the determination coefficients (R2) of the pseudo first-order kinetic model for UVS-NZVI adsorption of Cd2+ and Pb2+ are higher than those of the pseudo second-order kinetic model and Elovich kinetic model. Highly efficient performance for metal removal makes UVS-NZVI show potential application to heavy metal ion adsorption.
Evidence supporting the microbiota-gut-brain axis in a songbird
<p>Recent research in mammals supports a link between cognitive ability and the gut microbiome, but little is known about this relationship in other taxa. In a captive population of 38 Zebra Finches <em>(Taeniopygia guttata)</em>, we quantified performance on cognitive tasks measuring learning and memory. We sampled the gut microbiome via cloacal swab and quantified bacterial alpha and beta diversity. Performance on cognitive tasks related to beta diversity but not alpha diversity. We then identified differentially abundant genera influential in the beta diversity differences among cognitive performance categories. Though correlational, this study provides some of the first evidence of an avian microbiota-gut-brain axis, building foundations for future microbiome research in wild populations and during host development.</p>
Experimental dataset in support of publication
<p>Repository includes:<br> Source microscope HAADF-STEM images from NION UltraSTEM (.npy format) & corresponding metadata (.json). </p> <p>Reconstructed Image: (BFSO55_56_HAADF.npy)</p> <p>Parameterization data: (BFSO55_56_XX.npy)</p>
Individualized Nutritional Support versus Usual Care in Medical Inpatients at Risk of Malnutrition: Randomized Trial
<p>Dataset for analysis of the trial "Individualized Nutritional Support versus Usual Care in Medical Inpatients at Risk of Malnutrition"</p>
Dataset supporting - On the Problem of Modeling the Boat Wake Climate; the Florida Intracoastal Waterway - by Forlini et al., submitted to JGR-Ocean
<p>This dataset comprises of 9 .txt file containing water levels data (m) necessary to reconstruct the wakes observations for all the instruments (Acoustic Doppler Velocimeter) deployed during the field experiment.</p> <p> </p>
DFT Calculated xyz and log Files in Support of "Reaction Mechanism of Pd-catalyzed "CO-free" Carbonylation Reaction Uncovered by In situ Spectroscopy: The Formyl Mechanism"
<p>Theoretically calculated xyz and log files for hydrogen, carbon monoxide, carbon dioxide, methane, methanol, methyl formate, butene, methyl pentanoate and multiple Pd-dtbpx complexes (dtbpx = 1,2-Bis(di-<em>tert</em>-butylphosphino)xylene) which catalyze the addition of HCOOMe/CO onto butene to form methyl pentanoate.</p> <p>All quantum chemical simulations were performed using the Gaussian16 software. The ground state equilibrium structures and electronic properties were obtained at the density functional (DFT) level of theory utilizing the B3LYP XC functional.The def2-SVP basis set as well as the respective core potentials were applied for all atoms. A subsequent vibrational analysis was carried out for each optimized ground state structure to verify that a minimum on the potential energy (hyper‑)surface (PES) was obtained. All calculations were performed including D3 dispersion correction with Becke-Johnson damping.</p> <p>An analogous computational setup was applied for the optimization of transition states (TSs), while an initial guess in the vicinity of the saddle point was at first obtained via the Nudged Elastic Band (NEB) method as implemented in pysisyphus with xtb.<sup> </sup>Thereafter, the TSs were obtained in Gaussian16 via the Berny algorithm, followed by a vibrational analysis to verify that a first-order saddle point on the PES was obtained.</p>
Data from: Constrained optimization of landscape indices in conservation planning to support ecological restoration in New Caledonia
<p>1. Curbing habitat loss, reducing fragmentation, and restoring connectivity are frequent concerns of conservation planning. In this respect, the incorporation of spatial constraints, fragmentation, and connectivity indices into optimization procedures is an important challenge for improving decision support.</p> <p>2. Here we present a novel optimization approach developed to accurately represent a broad range of conservation planning questions with spatial constraints and landscape indices. Relying on constraint programming, a technique from artificial intelligence based on automatic reasoning, this approach provides both constraint satisfaction and optimality guarantees.</p> <p>3. We applied this approach in a real case study to support managers of the ``Côte Oubliée -- `Woen Vùù -- Pwa Pereeù'' provincial park project, in the biodiversity hotspot of New Caledonia. Under budget, accessibility, and equitable allocation constraints, we identified restorable areas optimal for reducing forest fragmentation and improving inter-patch structural connectivity, respectively measured with the effective mesh size and the integral index of connectivity.</p> <p>4. Synthesis and applications. Our work contributes to more effective and policy-relevant conservation planning by providing a spatially-explicit and problem-focused optimization approach. By allowing an exact representation of spatial constraints and landscape indices, it can address new questions and ensure whether the solutions will be socio-economically feasible, through optimality and satisfiability guarantees. Our approach is generic and flexible, thus applicable to a wide range of conservation planning problems such as ecological restoration planning, reserve or corridor design.</p>
Data and Code: No support for the genetic hypothesis of the Black-white achievement gap using polygenic scores and tests for divergent selection
<p>Data and Code for article "No support for the genetic hypothesis of the Black-white achievement gap using polygenic scores and tests for divergent selection"</p>
Supporting data for "Dynamics of RNA polymerase II and elongation factor Spt4/5 recruitment during activator-dependent transcription"
<p>Supporting data for</p> <p><strong>Dynamics of RNA polymerase II and elongation factor Spt4/5 recruitment</strong></p> <p><strong>during activator-dependent transcription </strong></p> <p>Grace A. Rosen<sup>a,1</sup>, Inwha Baek<sup>b,1</sup>, Larry J. Friedman<sup>a</sup>, Yoo Jin Joo<sup>b</sup>, Stephen Buratowski<sup>b,2</sup>, Jeff Gelles<sup>a,2</sup></p> <p><sup>a</sup>Department of Biochemistry, Brandeis University, Waltham, Massachusetts 02454, USA.</p> <p><sup>b</sup>Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, USA.</p> <p><sup>1</sup>Equal contributions</p> <p><sup>2</sup>Corresponding authors: <a href="mailto:steveb@hms.harvard.edu">steveb@hms.harvard.edu</a>; +1 (617) 432-0696 (S.B.) and <a href="mailto:gelles@brandeis.edu">gelles@brandeis.edu</a>; +1 (781) 736-2377 (J.G.)</p> <p>See <strong>Source data index.pdf</strong> for description of files.</p>
m6A-TWAS weights for "Genetic Analyses Support the Contribution of mRNA N6-methyladenosine (m6A) Modification to Human Diseases Heritability"
<p>We included the m6A-TWAS weights (trained using FUSION) for our manuscript "Genetic Analyses Support the Contribution of mRNA <em>N</em>6-methyladenosine (m6A) Modification to Human Diseases Heritability". </p> <p>This dataset is a supplement to the m6A QTL summary statistics data and imputed genotype data at https:// doi.org/10.5281/zenodo.3870952.</p>
Supporting dataset – A systematic review of automated journalism scholarship: guidelines and suggestions for future research
<p>This dataset supports the following article, conditionally accepted for publication in Open Research Europe:</p> <p>"A systematic review of automated journalism scholarship: guidelines and suggestions for future research."</p> <p> </p> <p> </p>
Evaluating QualiCO: An ontology to facilitate qualitative methods sharing to support open science
<p>This dataset includes the quantitative analysis we did in our paper. It includes the time on task the participants needed as well as the scores they obtained in the task</p>
Closely related tree species support distinct communities of seed-associated fungi in a lowland tropical forest
<p>Previous theoretical work has highlighted the potential for natural enemies to mediate the coexistence of species with similar life-histories via density-dependent effects on survivorship. For plant pathogens to play this role, they must differ in their ability to infect or induce disease in different host plant species. In tropical forests characterized by high diversity, these effects must extend to phylogenetically closely related species pairs. Mortality at the seed and seedling stage strongly influences the abundance and distribution of tropical tree species, but the host preferences and spatial distributions of fungi are rarely determined.</p> <p>We examined how host species identity, relatedness, and seed viability influence the composition of fungal communities associated with seeds of four co-occurring pioneer trees (<em>Cecropia insignis</em>, <em>C. longipes</em>, <em>C. peltata</em>, and <em>Jacaranda copaia</em>). Seeds were buried in mesh bags in five common gardens in the understory of a lowland tropical forest in Panama and retrieved at intervals from 1-30 months. A subset of the seeds in each bag was used to determine germination success. One half of each remaining seed was tested for viability; the other half was used to culture and identify seed-infecting fungi.</p> <p>Seeds were infected by fungi after burial. Although fungal communities differed in viable vs. dead seeds, and across burial locations, community composition primarily varied as a function of plant species identity (30.7% of variation in community composition vs. 4.5% for viability and location together), even for congeneric <em>Cecropia</em> species. Phylogenetic reconstruction showed that relatedness of fungi mostly reflected differences between <em>Jacaranda</em> (Bignoniaceae) and <em>Cecropia</em> (Urticaceae).</p> <p>Although the proportion of germinable seeds decreased gradually over time for all species, intraspecific variation in survival was high at the same location (e.g., ranging from 0-100% for <em>C. peltata</em>) suggesting variable exposure or susceptibility to seed pathogens.</p> <p>Synthesis: Our study provides evidence under field conditions that congeneric tree species with similar life-history differ markedly in seed-associated fungal communities when exposed to the same soilborne fungi. This is a critical first step supporting pathogen mediated coexistence of closely related tree species.</p>
Datasets supporting "Enhanced climate response to ozone depletion from ozone-circulation coupling"
<p>This data set is prepared to support the manuscript entitled "Enhanced climate response to ozone depletion from ozone-circulation coupling" by Lin end Ming, which is under review for Journal of Geophysical Research. The data set includes the following contents:</p> <p>1. Zonal mean monthly mean fields for selected variables from the simulations shown in the manuscript.</p> <p>2. The coefficients used for O3Tracer simulation described in the manuscript.</p>
Overyielding in young tree communities does not support the stress-gradient hypothesis and is favoured by functional diversity and higher water availability
<p class="CxSpFirst"><strong>Summary:</strong></p> <ol> <li class="CxSpMiddle">Biodiversity effects on productivity and other ecosystem functions are strongly dependent on climate and resource availability. Based on the stress-gradient hypothesis, under conditions of greater abiotic stress, diversity effects on plant performance are intensified due to the increased relative importance of positive plant interactions. However, whether this hypothesis is consistently applicable in forest systems remains unclear. A field trial was established to test the stress-gradient hypothesis and examine diversity effects on aboveground biomass production of young trees in mixtures exposed to different water availability.</li> <li class="CxSpMiddle">Six native tree species of northern temperate forests (<i>Acer saccharum</i>,<i> Betula papyrifera</i>,<i> Larix laricina</i>,<i> Picea glauca, Pinus strobus</i>,<i> and Quercus rubra</i>) were planted as monocultures and as mixtures of two, four, and six species. For five growing seasons, four replicates of each community were exposed to conditions of either low- or high-water availability created by rainfall exclusion and weekly irrigation, respectively. Growth-years 4 and 5 were significantly different when the climatic water balance of the growing seasons were compared. We tested the effects of functional diversity on: (1) total growth of mixtures under low- and high-water availability, and (2) annual growth in years 4 (higher water availability, 2017) and 5 (lower water availability, 2018).</li> <li class="CxSpMiddle">Annual growth of most species in both years was greater under high- vs. low-water availability. Functional diversity had a significant positive effect on total biomass production and annual growth, and this effect was more strongly expressed under high-water availability. Functional diversity effects on annual growth did not differ between years 4 and 5 regardless of their climatic water balance. Functional and species identity were key to understanding productivity responses to mixture and treatment effects.</li> <li class="CxSpMiddle"> <i>Synthesis</i>: Contrary to the stress-gradient hypothesis, the positive effects of functional diversity on productivity were enhanced by high-water availability and were independent of seasonal water balance.</li> </ol>
Oceanographic habitat location data to support range shift analyses for the manuscript: "Climate-driven range shifts are rapid yet variable among recreationally important coastal-pelagic fishes"
<p>This data file contains the latitudinal location of suitable oceanographic habitat for a suite of coastal-pelagic fishes off eastern Australia at monthly time-steps between 1998 and 2018. Please refer to the manuscript "Climate-driven range shifts are rapid yet variable among recreationally important coastal-pelagic fishes" for a full description of the methodologies applied to derive these data.</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.