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30,947 results for “Profile”
Post-eclosion temperature effects on insect cuticular hydrocarbon profiles
<p>The insect cuticle is the interface between internal homeostasis and the often harsh external environment.<b> </b>Cuticular hydrocarbons (CHCs) are key constituents of this hard cuticle and are associated with a variety of functions including stress response and communication. CHC production and deposition on the insect cuticle vary among natural populations and are affected by developmental temperature; however, little is known about CHC plasticity in response to the environment experienced following eclosion, during which time the insect cuticle undergoes several crucial changes. We targeted this crucial phase and studied post-eclosion temperature effects on CHC profiles in two natural populations of <i>Drosophila melanogaster. </i>A forty-eight hour post-eclosion exposure to three different temperatures (18, 25, & 30 °C) significantly affected CHCs in both ancestral African and more recently derived North American populations of <i>D. melanogaster.</i> A clear shift from shorter to longer CHCs chain-length was observed with increasing temperature, and the effects of post-eclosion temperature varied across populations and between sexes. The quantitative differences in CHCs were associated with variation in desiccation tolerance among populations. Surprisingly, we did not detect any significant differences in water loss rate between African and North American populations. Overall, our results demonstrate strong genetic and plasticity effects in CHC profiles in response to environmental temperatures experienced at the adult stage as well as associations with desiccation tolerance, which is crucial in understanding holometabolan responses to stress.</p>
Simulated probabilistic speed profiles for selected routes in Prague
<p><strong>Simulated probabilistic speed profiles for 1608 road segments in Prague, Czech Republic</strong></p> <p>This dataset contains simulated speed profiles for selected road segments in Prague, Czech Republic. The profiles describe changes in average driving speed on a particular segment over a given time interval discretised to a time steps of a fixed size. Number of the time steps is stored in the "<strong>IntervalsPerSegment</strong>" attribute of the root group. Size of a single time step in <strong>seconds</strong> is stored in the "<strong>TimeStep</strong>" attribute. Total length of time interval covered by the profiles is computed as IntervalsPerSegment x TimeStep.</p> <p>The file contains two types of profiles.</p> <p>The first type are plain speed profiles which provide just average driving speed assigned to each time step - dataset "<strong>speed_profile</strong>".</p> <p>The second type are probabilistic speed profiles which contain discrete probability distribution of the driving speed for particular segment and given time step. The probability distribution in this case has 4 support points, corresponding to 4 Levels of Service (LoS). The first LoS corresponds to an optimal (freeflow) speed and the last one describes the worst case (accident, heavy traffic, etc.). The discrete distribution is stored in the "<strong>prob_profile</strong>" dataset with the following format:</p> <p>Column 1 - Speed corresponding to the first LoS in <strong>km/h</strong><br> Column 2 - Probability assigned to this speed (float between 0.0 - 1.0)<br> ...</p> <p>Sampling from this distribution is implemented by the <a href="http://www.keithschwarz.com/darts-dice-coins/">Vose's alias method</a>. We provide precomputed tables for implementing this method for each segment in datasets "<strong>alias</strong>" and "<strong>probability</strong>".</p> <p>Further applications of the probabilistic speed profiles are available in:</p> <p>Golasowski, M., Tomis, R., Martinovič, J., Slaninová, K., & Rapant, L. (2016, September). Performance evaluation of probabilistic time-dependent travel time computation. In <em>IFIP International Conference on Computer Information Systems and Industrial Management</em> (pp. 377-388). Springer, Cham.</p> <p><strong>File structure</strong></p> <p>Profiles for the individual segments are stored as subgroups in the root group. Names of the subgroups correspond to unique road segments identifiers corresponding to a subset of road network of Prague.</p> <p>The identifiers correspond to a routing index published here: <a href="https://doi.org/10.5281/zenodo.2275556">10.5281/zenodo.2275556</a></p> <pre><code class="language-javascript">HDF5 "profiles_8runs.h5" { GROUP "/" { ATTRIBUTE "IntervalsPerSegment" { DATATYPE H5T_STD_I32LE DATASPACE SCALAR DATA { (0): 59 } } ATTRIBUTE "NumberOfProfiles" { DATATYPE H5T_STD_I32LE DATASPACE SCALAR DATA { (0): 4 } } ATTRIBUTE "TimeStep" { DATATYPE H5T_STD_I32LE DATASPACE SCALAR DATA { (0): 60 } } ATTRIBUTE "Version" { DATATYPE H5T_STRING { STRSIZE 4; STRPAD H5T_STR_NULLTERM; CSET H5T_CSET_ASCII; CTYPE H5T_C_S1; } DATASPACE SCALAR DATA { (0): "1.0" } } GROUP "66678115" { DATASET "alias" { DATATYPE H5T_IEEE_F64LE DATASPACE SIMPLE { ( 59, 4 ) / ( 59, 4 ) } } DATASET "prob_profile" { DATATYPE H5T_IEEE_F64LE DATASPACE SIMPLE { ( 59, 8 ) / ( 59, 8 ) } } DATASET "probability" { DATATYPE H5T_IEEE_F64LE DATASPACE SIMPLE { ( 59, 4 ) / ( 59, 4 ) } } DATASET "speed_profile" { DATATYPE H5T_IEEE_F64LE DATASPACE SIMPLE { ( 1, 59 ) / ( 1, 59 ) } } }</code></pre> <p> </p>
Data on physico-chemical quality and microbial community level physiological profiles of drinking water and freshwater resources in Mega Manila Philippines
<p><strong>Samples of drinking water and freshwater resources in Mega Manila, Philippines were analyzed for physical and chemical quality as well as physiological profiles of microbial communities. Temperature, pH, oxidation-reduction potential, absolute conductivity, resistivity, total dissolved solids, salinity, pressure, and dissolved oxygen were measured using a multi-parameter probe and reported as averages from three biological replicates per sample. Detection and quantification of arsenic were carried out via 3114 B: Hydride Generation AAS method, while analysis for lead and cadmium was carried out via 3111 B: Direct Air-Acetylene Flame method. Detection and quantification of mercury was performed via Inductively Coupled Plasma-Optical Emission Spectroscopy (ICP-OES). Detection and quantification of polyaromatic hydrocarbons (PAHs) and organochlorine pesticides (OCPs) were carried out via Gas Chromatography-Mass Spectrometry (GC-MS) and Gas Chromatography-Electron Capture Detection (GC-ECD). Assessment of the physiological activities of microbial communities in the water samples was done using the Biolog EcoPlateTM system. Eight samples returned less than the minimum detection limit for analysis of heavy metals and no samples contained polyaromatic hydrocarbons and organochlorine pesticides. In terms of microbial community physiological profiles, 66% of the samples (19 out 29) are found to demonstrate consistent increases in AMR and CMD over time. These data can be reused as comparators for retrospective and prospective quality assessments of drinking water and freshwater sources.</strong></p>
MUA PRR_lidar temperature profiles for atmospheric refraction correction in lunar laser ranging
<p>This PRR lidar temperature data are used for atmospheric refraction corrrection in millimeter-level precision lunar laser ranging.</p>
Figure 2. Lithological profile. A in Osteology and phylogenetic relationships of Ligabuesaurus leanzai (Dinosauria: Sauropoda) from the Early Cretaceous of the Neuquén Basin, Patagonia, Argentina
Figure 2. Lithological profile. A schematic log of the the lower section of the Cullin Grande Member (Bajada del Agrio Group, Lohan Cura Formation, Lower Cretaceous, Albian) that outcrops at the Cerro de los Leones locality (modified from Martinelli et al., 2007). Abbreviations: CS, crevasse channel; FF, floodplain fines; FL, fossiliferous level; LA, lateral accretion; LS, laminated sand sheets; LV, levee; SB, sandy bedforms. Architectural element codes follow Miall (1996).
Public Profile Settings (TRIPLE Video Tutorial Series)
<p>In this tutorial series, researcher Agnieszka Szulińska and Research Infrastructure Coordinator Edward Gray discuss gotriple.eu. This episode explores the opportunities GoTriple offers for the creation of a public profile.</p> <p>Video recorded and edited by Fabian Fess.</p>
antimicrobial susceptibility profiles of MDR indicator bacteria
<table> <tbody> <tr> <td> <p>Sixteen antimicrobial agents were tested in the Sensititre™ panel to evaluate the antimicrobial susceptibility of <em>Salmonella</em> Gallinarum CNHJ001, <em>Salmonella</em> Enteritidis 190610_1, <em>Escherichia coli</em> ROH_0034,<em> Staphylococcus aureus</em> ROH_0029. <em>Escherichia coli</em> ATCC25922 was also tested as a susceptible control. The antimicrobial agents used in these experiments were; ciprofloxacin (<strong>CIP</strong>), nalidixic acid (<strong>NAL</strong>), imipenem (<strong>IMI</strong>), colistin (<strong>COL</strong>), ampicillin (<strong>AMP</strong>), tetracycline (<strong>TET</strong>), chloramphenicol (<strong>CHL</strong>), azithromycin (<strong>AZI</strong>), gentamicin (<strong>GEN</strong>), streptomycin (<strong>STR</strong>), amikacin (<strong>AMI</strong>), trimethoprim/sulfamethoxazole (<strong>SXT</strong>), cefotaxime (<strong>FOT</strong>), ceftriaxone (<strong>AXO</strong>), cefoxitin (<strong>FOX</strong>), ceftazidime (<strong>TAZ</strong>).<br> <em>a. </em>R=resistant<em> b. </em>S=susceptible<em> c. </em>I=intermediate.</p> </td> </tr> </tbody> </table> <p> </p>
Intranasal Insulin Treatment Alters Gene Expression Profile in the Hippocampus of Rats with Perinatal Iron Deficiency
<p>Datasets for rat hippocampal RNAseq experiment. </p>
Supplementary Data - Transcriptomic Profiling Does Not Refine Mastocytosis Diagnosis
<p>Supplementary data including cohort characterisctics, read counts (CPM), differential expression outputs, correlation analysis outputs and more specific analysis of the dataset described in the paper "Transcriptomic Profiling Does Not Refine Mastocytosis Diagnosis".</p> <p> </p> <p>Abstract:</p> <p>The recent 5th edition of the WHO update on hematopoietic cancers includes relevant changes to the diagnostic criteria of Mastocytosis. Yet, it remains entirely unclear whether transcriptional profiles of bone marrow of patients with Mastocytosis instruct diagnostic, prognostic or predictive information as it has been shown in many other cancer types. Here we show that transcriptional profiling of a large and clinically well-annotated dataset of Systemic Mastocytosis (SM) patients fails to achieve a further diagnostic refinement of SM above the level of genomic and clinical parameters. Yet, transcriptional differences between clinical and genomic SM subgroups robustly link the expression of certain genes to the MARS score as a surrogate of prognosis.</p>
South Atlantic Ocean profile dataset: identification of near-Antarctic profiles using unsupervised classification
<p>This dataset consists of temperature and salinity profiles taken by Argo floats (<a href="http://argo.ucsd.edu">http://argo.ucsd.edu</a>) and ship-based CTDs as recorded in the World Ocean Database (<a href="https://www.ncei.noaa.gov/products/world-ocean-database">https://www.ncei.noaa.gov/products/world-ocean-database</a>). It covers 65°W to 80°E in longitude, 85°S to 30°S in latitude (roughly the South Atlantic Ocean and a part of the Indian Ocean). In the vertical, it covers the top 1000m of the ocean. </p> <p>It was prepared using MITprof, which is a toolbox for Matlab:<br> <br> Gael Forget. (2017). gaelforget/MITprof: various updates and minor improvements (v1.0.1). Zenodo. <a href="https://doi.org/10.5281/zenodo.834078">https://doi.org/10.5281/zenodo.834078</a></p> <p>This dataset should be considered the "initial" dataset that has been classified into five sub-groups using a profile classification model (PCM) built on Gaussian mixture modelling. The five-component PCM consists of these profile types: (1) subtropical Atlantic, (2) subtropical Indian, (3) circumpolar (more northern), (4) circumpolar (more southern), and (5) near-Antarctic.</p>
Fig. 3 in Variation in the amino acids, volatile organic compounds and terpenes profiles in induced polyploids and in Solanum tuberosum varieties
Fig. 3. Hierarchical cluster analysis (represented by a heat-map) of amino acids content in leaves of potato allo- and autotetraploids and cultivated varieties. Dendrograms were constructed by UPGMA clustering method for 18 amino acids and 10 lines: diploid S. kurtzianum parental line (2xPL), diploid S. tuberosum x S. kurtzianum parental interspecific hybrid (2xPIH), three autotetraploids (4xAuL1, 4xAuL2 and 4xAuL3), two allotetraploids (4xAL2 and 4xAL4) and three cultivated varieties (4xCalen, 4xInnovator and 4xPampeana).
Fig. 1 in Variation in the amino acids, volatile organic compounds and terpenes profiles in induced polyploids and in Solanum tuberosum varieties
Fig. 1. Fold change of compounds content in allotetraploids (a) and autotetraploids (b) relative to their respective diploid parental line. Fold change is expressed as log10(Tetraploid/Diploid). Horizontal lines are the average of the absolute logFC for each evaluated line, letters denote differences by Duncan's multiple range test (P <0.05).
Supplemental Table S1. Total AA profile (exclusive Tyr and Trp) (g/kg DM) analysed with HPLC after acid hydrolysis (EC, 1998) for the feed stuffs used in the low protein diet during the experiment.
<p><strong>Supplemental Table S1.</strong> Total AA profile (exclusive Tyr and Trp) (g/kg DM) analysed with HPLC after acid hydrolysis (EC, 1998) for the feed stuffs used in the low protein diet during the experiment.</p>
Presentasi - Implementasi Profil Multimedia SMK Nurul Haromain Pujon
<p>SMK Nurul Haromain terletak di Pujon, Kabupaten Malang yang berbatasan langsung dengan kotamadya Batu, juga memiliki lokasi yang cukup nyaman dengan dikelilingi oleh area persawahan serta pemandangan pegunungan, namun tetap dekat dengan akses jalan raya. SMK tersebut merupakan bagian dari Pondok Pesantren Nurul Haromain, sehingga proses belajar mengajar yang ada didalamnya memiliki integrasi dengan akhlak Al Quran dalam kehidupan sehari-hari. Meski telah berdiri lama, namun masih memiliki siswa antara 20 – 40 per tahun dengan dua jurusan yang dimiliki, yakni tata busana dan Teknik Komputer Jaringan, maka pihak sekolah berniat untuk melakukan inovasi dalam proses promosi untuk pendaftaran peserta didik baru atau lazim disebut PPDB di tahun ajaran berikutnya. Salah satu proses promosi yang akan ditempuh adalah melalui pemasangan iklan dan sebaran informasi melalui internet.</p> <p>Profil multimedia berupa video singkat dengan alokasi waktu antara 3 hingga 5 menit bertujuan untuk menunjang kepentingan proses promosi dalam PPDB. Video profile juga dapat menjadi sarana komunikasi satu arah yang sangat efektif bagi pihak sekolah dengan stakeholders seperti dewan pengawas sekolah, pihak yayasan maupun orang tua siswa. Selain itu juga dapat menjadi sarana pengikat bagi para alumni untuk bisa menyebarluaskan informasi yang tepat mengenai keunggulan kompetitif atau competitive advantage dari almamater kepada khalayak secara luas. Sehingga hal tersebut dapat menjadi justifikasi mengenai kepentingan pembuatan video profile ini bagi SMK Nurul Haromain.. </p>
Isotopic Profile Database (IPDBs) for selected formula lists
<p>Isotopic Profile Databases (IPDBs) were generated for a list of databases using molecular formula. IDSL.UFA software was used for generating the isotope profiles for each formula. </p>
FIGURE 2. Cattleya porphyrascens. A. Habit. B. Front view. C. Profile. D, Rear view. E. Peduncle. F. Petals and sepals. G. Entire labellum flattened. H. Labellum dissected. I. Median lobe. J in Cattleya porphyrascens, a new species (Laeliinae) of the genus Cattleya is described for Minas Gerais State, Brazil
FIGURE 2. Cattleya porphyrascens. A. Habit. B. Front view. C. Profile. D, Rear view. E. Peduncle. F. Petals and sepals. G. Entire labellum flattened. H. Labellum dissected. I. Median lobe. J. View of the white lamella. K. Column, ventral view, dorsal, and side profile. L. Anther. M. Pollinia. Photographs by Mauro Sergio Rosim based on the Holotype.
Sequences used for building HMMER profiles to search for SNAREs proteins
<p>This file contains the four sequence datasets that were used to build HMMER search profiles in order to find all SNAREs protein present in the predicted proteome of Oopsacas minuta: a human SNARE profile, a Qa-SNAREs profile, a Qb-SNAREs profile, a Qc-SNAREs profile.</p>
Safe cardiac action potential test (www.scaptest.com): a database describing the in silico cardiac safety profile of drugs and their propensity to induce early afterdepolarization
<p>The aim of the present database is to describe the <em>in silico</em> cardiac safety profile of drugs and their propensity to induce early afterdepolarization. This is based on the study of the effects of drugs on the non-failing human ventricular myocyte action potential (endo-, mid- and epicardial subtypes) reconstructed by computational simulation (O’Hara-Rudy dynamic algorithm) in order to identify cardiac action potential abnormalities such as high variations and/or occurrence of resting membrane potential, action potential amplitude, maximal rate of action potential rise, action potential duration, triangulation, early afterdepolarization, transmural dispersion of repolarization, reverse use dependence, qNet or minimal rate of action potential decrease at early afterdepolarization take-off voltage. These various parameters are useful in order to assume a more accurate predictability of pro-arrhythmic liabilities of new drug candidate in the cardiac safety pharmacology screening process, which is the aim of the comprehensive in vitro pro-arrhythmia assay (CiPA) initiative. The <em>in silico</em> cardiac safety profile of each drug (150 drugs described in this first version) is illustrated by a separate page describing the effects induced by each compound on these various parameters. The results are summarized regarding the expected pro-arrhythmia profile of the various compounds as described by the CredibleMeds classification evaluating their propensity to induce torsade de pointes.</p>
Practical Course Report - Profiling and Tuning of Large Functional Programs
<p>Monomorphization extra materials.</p>
Beam profiles images measured of an undulator- produced X-ray beam reflected by a high-quality toroidal mirror
<p>The experimental data have been collected at the ID09 ESRF beamline at the EBS-ESRF storage ring, we used an IVU17 undulator set to have its first harmonic at an energy of E = 18.5 keV. The toroidal mirror have adjustable meridional radius, with 0.5 μrad rms of slope error, 18 nm rms of height error and a micro-roughness of 2.8 Å. Each h5 file contains results from different scan measurements, logbook, Python scripts data analysis and OASYS workflows for simulations are allocated in a GitHub repository: <a href="https://github.com/jureyherrera/toroidal_mirror_project">https://github.com/jureyherrera/toroidal_mirror_project</a></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.