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3,947 results for “Requirements”
FIG. 7 in Molecular assessment of the tribes Streblocladieae and Polysiphonieae (Rhodomelaceae, Rhodophyta) in the British Isles reveals new records and species that require taxonomic revision
FIG. 7. — Polysiphonia delicata Díaz-Tapia: A, habit; B, cross-section of an axis with four pericentral cells; C, rhizoid in open connection with a pericentral cell; D, cystocarp. Scale bars: A, 10 mm; B, 20 µm; C, 200 µm; D, 50 µm.
FIG. 6 in Molecular assessment of the tribes Streblocladieae and Polysiphonieae (Rhodomelaceae, Rhodophyta) in the British Isles reveals new records and species that require taxonomic revision
FIG. 6. — Polysiphonia morrowii Harvey: A, habit; B, upper part of an erect axis; C, apex of a branch with a pointed apical cell; D, young tetrasporangia in straight series. Scale bars: A, 10 mm; B, 100 µm; C, D, 50 µm.
FIG. 5 in Molecular assessment of the tribes Streblocladieae and Polysiphonieae (Rhodomelaceae, Rhodophyta) in the British Isles reveals new records and species that require taxonomic revision
FIG. 5. — Vertebrata tripinnata (J.Agardh) Kuntze: A, habit; B, rhizoid cut off from pericentral cells (arrowhead); C, cross-section of a prostrate axes with a rhizoid cut off from pericentral cells (arrowhead); D, cross-section of an axis with 18 pericentral cells; E, upper parts of erect axes with short branches and long apical trichoblasts; F, trichoblast with multinucleate cells; G, scar cells of trichoblasts spirally arranged on every segment (arrowheads). Scale bars: A, 10 mm; B, 100 µm; C, 100 µm; D, 50 µm; E, 500 µm; F, 50 µm; G, 100 µm.
FIG. 3 in Molecular assessment of the tribes Streblocladieae and Polysiphonieae (Rhodomelaceae, Rhodophyta) in the British Isles reveals new records and species that require taxonomic revision
FIG. 3. —Vertebrata simulans (Harvey) Kuntze, P. ceramiiformis P.Crouan & H.Crouan morphotype: A, habit; B, upper part of a thallus; C, forcipate young branches. Vertebrata simulans: D, habit; E, upper part of a thallus; F, straight young branches; G, lateral short branches with mature tretrasporangia. Scale bars: A, 2 mm; B, 500 µm; C, F, G, 100 µm; D, 5 mm; E, 1000 µm.
FIG. 4 in Molecular assessment of the tribes Streblocladieae and Polysiphonieae (Rhodomelaceae, Rhodophyta) in the British Isles reveals new records and species that require taxonomic revision
FIG. 4. — Vertebrata fruticulosa (Wulfen) Kuntze: A, habit; B, lateral branch bearing determinate branches; C, determinate branches bearing two-three branching orders; D, cross-section of an axis with 11 pericentral cells. Vertebrata martensiana (Kützing) Piñeiro-Corbeira, Maggs & Díaz-Tapia from the Mediterranean Sea: E, F, habit; G, upper part of an erect axis with alternate determinate branches that are once branched; H, cross-section of an axis with eight pericentral cells. Vertebrata martensiana from the British Isles: I, J, habit; K, upper parts of erect axes with alternate determinate branches that are once or twice branched; L, cross-section of an axis with ten pericentral cells. Scale bars: A, B, E, F, I, J, 10 mm; C, D, H, K, L, 100 µm; G, 1000 µm.
Requirements Quality Theory: State-of-the-Art
<p>This repository contains the replication package for evaluating state-of-the-art requirements quality research. Grounded in a harmonized theory of activity-based requirements quality, we assessed 57 primary studies from the research domain of requirements quality to determine which theory elements are neglected.</p>
Zika virus prM protein contains cholesterol binding motifs required for virus entry and assembly - Molecular Dynamics Simulation Dataset
<p>The molecular dynamics (MD) simulation dataset. The contents:</p> <ul> <li><strong>5ire_BIOMT_expanded.pdb</strong>: The complete biological assembly of the cryo-EM structure of Zika Virus (PDB ID:5IRE) </li> <li><strong>5ire_Mprotein_BIOMT_expanded.pdb</strong>: The M proteins extracted from the complete biological assembly of the cryo-EM structure of Zika Virus (PDB ID:5IRE). The biological assembly shows the dimeric organization of M proteins.</li> <li><strong>0chol.zip, 10chol.zip, 20chol.zip, and 30chol.zip</strong> contain simulation input and output files for the simulated membrane compositions: 0:100, 10:90, 20:80, 30:70 (mol%:mol%) Cholesterol:POPC, respectively. <ul> <li>In each zip file, there are 5 directories: <strong>wt, R253L+F257A, R253L+F257S, K275L+Y278A, K275L+Y278S</strong> corresponding to each simulated M protein dimer variant: wild type, CARC 2-A, CARC 2-S, CARC 3-A, and CARC 3-S. In each directory, there are the following files: <ul> <li><strong>toppar</strong>: This directory contains all force field topologies and parameters</li> <li><strong>topol.top</strong>: GROMACS topology (top) file</li> <li><strong>index.ndx</strong>: GROMACS index (ndx) file</li> <li><strong>prod.mdp</strong>: GROMACS MD parameters (mdp) file</li> <li><strong>0, 1, 2, 3, 4, 5, 6, 7, 8, 9</strong>: These directories contain the simulation inputs and outputs for each simulation repeat. In each of these directories, there are the following files: <ul> <li><strong>t0.pdb</strong>: The pdb file of the starting coordinates</li> <li><strong>prod0.tpr</strong>: GROMACS binary run input (tpr) file </li> <li><strong>prod0.edr</strong>: GROMACS energy (edr) file</li> <li><strong>prod0.gro</strong>: GROMACS output coordinates and velocities after 1 microsecond of simulation</li> <li><strong>prod0.cpt</strong>: GROMACS checkpoint file after 1 microsecond of simulation</li> <li><strong>noW.pdb</strong>: The pdb file of the starting coordinates with all water molecules removed</li> <li><strong>noW.xtc</strong>: GROMACS compressed trajectory (xtc) file with all water molecules removed</li> </ul> </li> </ul> </li> </ul> </li> </ul>
Required data for simulating a typical large-scale urban traffic network
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Data from: Quantifying the ecological role of crocodiles: A 50-year review of metabolic requirements and nutrient contributions in Northern Australia
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Effective seed sterilization methods require optimization across maize genotypes
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Managing the tradeoff between reproduction and survival requires flexibility in behavior and gene regulation in three-spined stickleback
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Data from: Plant ammonium sensitivity is associated with the external pH adaptation, repertoire of nitrogen transporters, and nitrogen requirement
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Data from: Different strokes for different croaks: Using an African reed frog species complex as a model to understand idiosyncratic population requirements for conservation management
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Prior choice and data requirements of Bayesian multivariate mixed effects models fit to tag-recovery data: The need for power analyses
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Data from: Immediate genetic augmentation and enhanced habitat connectivity are required to secure the future of an iconic endangered freshwater fish population
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Model executable, output, drivers and parameters for modeling organism acclimation to changing availability of and requirements for substitutable and interdependent resources
Files used to generate the data for figures in: Rastetter, EB, Kwiatkowski, BL. An approach to modeling resource optimization for substitutable and interdependent resources. Ecological Modelling (2020). https://doi.org/10.1016/j.ecolmodel.2020.109033. This paper presents a hierarchical approach to modeling organism acclimation to changing availability of and requirements for substitutable and interdependent resources. Substitutable resources are resources that fill the same metabolic or stoichiometric need of the organism. Interdependent resources are resources whose acquisition or expenditure are tightly linked (e.g., light, carbon dioxide, and water in photosynthesis and associated transpiration). We illustrate the approach by simulating the development of vegetation with four substitutable sources of nitrogen that differ only in the cost of their uptake and assimilation.
Meeting radiation dosimetry capacity requirements of population-scale exposures by geostatistical sampling
<p>This is the data repository for the PLOS ONE Manuscript: "Meeting radiation dosimetry capacity requirements of population-scale exposures by geostatistical sampling". This repository contains the following data:</p> <p>1. "State-and-Subdivision-Boundary-Files.Edited-for-ArcMap-10.4.KML-Format.zip":</p> <p>This file contains modified U.S. state and sub-division boundary files [in KML format], which can be imported into ArcMap using its KMLtoLayer function. These files have been modified to prevent sub-division naming issues that we encountered when importing boundary data into ArcMap: A) State sub-divisions with identical names are considered a single sub-division by ArcMap (corrected by adding a letter after each sub-division of the same name, i.e. CenterA, CenterB, etc), and; B) ArcMap would only identify the sub-division by its first word if sub-division name contained spaces (corrected by converting all spaces into dashes). </p> <p>2. "HPAC-Plumes.Processed.zip" and "HPAC-Plumes.Unprocessed.zip":</p> <p>These files contain HPAC plume coordinate (WGS1984) and dose (in cGy) values for all scenarios discussed in the manuscript. We provide "processed" and "unprocessed" HPAC plume data files. The "unprocessed" HPAC plume data is provided in its original XML format, which cannot be imported into ArcMap directly. The "processed" HPAC plumes are provided in tab-delimited X,Y,Z format (Latitude, Longitude, and Dose). We have also added a "0 cGy" contour in the "processed" plumes (surrounding the HPAC plume), as the presence of unirradiated data points adjacent to the plume was found to be crucial for accurate kriging, since these points served as boundaries for kriging.</p> <p>3. "Final-Derived-Plumes.Data-Points.zip":</p> <p>This file contains geostatistically-derived plume coordinate (WGS1984) and dose (in cGy) values for all scenarios discussed in the manuscript. Data is in comma-delimited format (Latitude, Longitude, and Dose). Data points consist of a set of initial coordinates generated at random locations within each Census sub-division using the ArcMap tool, ‘CreateRandomPoints_management’, and subsequent points generated by densification (the geostatistical procedure that targets and localizes an additional small cohort of irradiated individuals to mitigate uncertainty in environmental measurements). These data points were assigned radiation level values corresponding to the adjacent outer HPAC contour by a script comparing each sample with its location within the HPAC plume of the same scenario.</p> <p>4. “Intermediate-Derived-Plumes.Data-Points.zip”</p> <p>This archive contains coordinate data (WGS1984) and dose values (in cGy) for all intermediary steps of plume development (using our geostatistical method) for all scenarios. Like (3), the data is comma-delimited (Latitude, Longitude, and Dose), and were assigned radiation level values by a script comparing sampling locations with the location of the HPAC plume of the same scenario. Scenario replicate folders contains text files for each iteration step of the plume derivation process, including a file containing just the initial random sampling (“Iteration-1”), a file containing initial sampling and sampling locations selected by the first densification step (“Iteration-2”), a file containing initial sampling and sampling locations selected by the first and second densification steps (“Iteration-3”), and so on.</p> <p>This archive also contains a Table (“Progression-of-New-Densification-Selected-Sampling-Locations-For-All-Scenarios.xslx”) which provides a categorical breakdown of how many unique densification-selected sampling locations occur within the irradiated region (i.e. overlap the HPAC plume) for each iteration of all scenario replicates. The fraction of irradiated to unirradiated sampling locations varies among each scenario and individual replicates for the same scenario. Our analysis shows that these results depend on the population densities and exact topography of the HPAC plume which is different among each scenario.</p> <p>5. "Geostatistical-Sampling-Project.All-Scripts.zip"</p> <p>This archive contains all programs required for this project. This includes Python scripts meant to be run within the ArcMap software environment (for random point generation and data extraction), and Perl scripts used to process HPAC and U.S. State and Sub-division boundary files, and to assign radiation values to sample locations based on a modified HPAC plume. A java program, “CompareReplicates.jar”, compares the overlapping areas between a pair of polygons that overlap one other using the ArcMap software environment, and requires access to the ArcGIS Runtime SDK (<a href="https://developers.arcgis.com/arcgis-runtime/">https://developers.arcgis.com/arcgis-runtime/</a>).</p>
Top-down control of saccades requires inhibition of suddenly appearing stimuli
<p>Data from:</p> <p>Wolf, C. & Lappe, M. (202x). Top-down control of saccades requires inhibition of suddenly appearing stimuli.</p> <p>For each of the six experiments the data set can be found in the corresponding txt file (e.g. e1.txt for experiment 1). Labels of the columns can be found in ColumnLabels.pdf</p> <p>For experiments 1-4 the same set of participants has been recorded and identical participant numbers refer to the same individual. For each of the last two experiments, experiment 5 and 6, a new set of participants has been recorded and identical participant numbers do not refer to the same individual from other experiments.</p> <p>For questions please contact chr.wolf[at]wwu.de</p>
Identifying required APIs for solving Open SourceSoftware issues
<p>Data set to classify skills from a project in GitHub. </p>
Affymetrix Normalization Required Files in GIANT tool suite
<p>This archive contains affymetrix files necessary to normalize microarrays data and modified annotations files required in GIANT APT-Normalize tool for annotation of normalized data.</p>
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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.