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13,587 results for “specification”
Fig. 4 in Biosynthesis and tissue-specific partitioning of camphor and eugenol in Ocimum kilimandscharicum
Fig. 4. Integration of transcriptomics and metabolomics data for analyzing camphor biosynthesis in O. kilimandscharicum. (A) Heat map analysis showing the accumulation of camphor biosynthesis pathway intermediates and metabolites across different tissues using GC-MS [inflorescence (Infl)]. All values represent an average of three biological replicates. The color scale for fold-change values is shown. (B) Relative expression analysis of camphor biosynthesis pathway genes performed using real-time PCR [geranyl diphosphate synthase (gpps), borneol dehydrogenase (bdh)]. Error bars represent the mean ± standard deviation. Unpaired t-test suggested significant difference between data at p <0.001 (indicated by "***"), p <0.01 (indicated by "**"), and p <0.05 (indicated by "*"). NS indicates non-significant difference in fold change (x). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Biosynthesis and tissue-specific partitioning of camphor and eugenol in Ocimum kilimandscharicum
Fig. 1. Specialized metabolite partitioning across Ocimum species. Partitioning of metabolites observed between the aerial tissues [young leaves (YL), mature leaves (ML), inflorescence (I), flowers (F)], and roots (R) in O. kilimandscharicum (Ok), O. tenuiflorum (Ot), O. gratissimum (Og), O. basilicum chemotype I (ObaI), O. basilicum chemotype II (ObaII), and O. americanum (Oa). Numbers represent the metabolites observed in GC-MS analysis [camphor (1), eugenol methyl ether (2), eugenol (3), methyl cinnamate (4), germacrene A (5), borneol (6), and estragole (7)]. Heat map analysis was performed using MeV [Scale: green (low), black (medium), red (high) content]. All values represent an average of three biological replicates. The color scale for fold-change values is shown. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Supplementary Tables: 14C dating and Compound Specific Radiocarbon Analyses
<p>The two Supplementary Tables contain results from <sup>14</sup>C dating and Compound Specific Radiocarbon Analysis (CSRA) carried out on long chain Fatty Acid Methyl Esters (FAMEs).</p>
Data from 'From mallees to mountain ash, specific leaf area is coordinated with eucalypt tree stature, resprouting, stem construction, and fruit size'
<p>Median trait data and accompanying description of included traits and units for the analysis in the manuscript 'From mallees to mountain ash, specific leaf area is coordinated with eucalypt tree stature, resprouting, stem construction, and fruit size' authored by Antoinette M. Portelli, Saras M. Windecker, Laura J. Pollock, Will. C. Neal, William K. Morris, Rohan Khot and Peter A. Vesk. Funding for this project provided by Eucalypt Australia and the Victorian Government Department of Environment, Land, Water and Planning.</p>
Preclinical to Clinical Translation for Intervertebral Disc Repair: Effects of Species-Specific Scale, Metabolism and Matrix Synthesis Rates on Cell-Based Regeneration
<p>Supporting datasets for journal article funded by the ERC</p>
Atlas of virus specific CD8+ Tcells
<p>Code and Data accompanying the manuscript " "</p> <p><strong>TS logistic regression model:</strong></p> <ul> <li>TargetScape_Model_FCS_Input.zip contains the TS data in pickled format to be imported in python</li> <li>targetscape-model-paper-20221001.html contains the python code to perform data analysis, model training, testing and interpretation</li> </ul> <p><strong>TAP logistic regression model:</strong></p> <ul> <li>Generate_Pseudobulk_Markers_ADT_TAP_Cohort.R to generate candidate features by pseudo-bulking surface markers across donors.</li> <li>TAP_ParameterBenchmarking_Model_Training_Evaluation.R to perform model training and parameter benchmark.</li> <li>TAP_DiscoveryCohort_Epitopes.rds file containing a Seurat object of the TAP-Cohort.</li> <li>Cohort_Pseudobulk_ADT_Virus_markers.RDS RDS file containing the candidate markers and their fold-changes/p-values, generated by<em> Generate_Pseudobulk_Markers_ADT_TAP_Cohort.R</em></li> <li><a href="https://zenodo.org/api/files/e8452b8d-5749-4f08-be29-b9c0922a5727/Leave-one-epitope-out-TAP.R">Leave-one-epitope-out-TAP.R</a>: R script to train a model using one epitope as a validation set.</li> </ul> <p><strong>Figures related to Machine Learning approaches:</strong></p> <ul> <li>Model_Analysis_Figure_Table_Generation.R script to generate Figures 3 and Figure 4 of the main manuscript as well as corresponding Supplementary Figures</li> <li>TargetScapeModel_Feature_Importance.csv contains the regression coefficients of the model learned on TargetScape (TS) data.</li> <li>TargetScape_Cohort_Logicle.csv contains the actual data of the TS cohort after logicle transformation.</li> <li>TargetScape_Validation_Cohort_Logicle.csv contains the actual data of the TS validation cohort after logicle transformation</li> <li>TargetScape_Model_Predictions.csv contains predictions of the TS model made on the TS validation cohort</li> <li>Performance_Benchmarking_TAP.zip contains all parameter benchmarking performance files generated by the TAP model above while executing TAP_ParameterBenchmarking_Model_Training_Evaluation<em>.R.</em></li> <li>Performance_Selected_Model.txt contains model performance information on the selected TAP model</li> <li>TAP_Model_MultinomialElaNetLogRegModel_minCellsPerPatient_30_minCellsPerVirus_200_ResourcePaper.RDS contains the best model trained on TAP data.</li> <li>TAP-Validation.RDS contains the Seurat object of the TAP validation cohort.</li> </ul>
Dataset for Thesis "Automated Consistency of Legal and Software Architecture System Specifications for Data Protection Analysis"
<p>Dataset for Thesis "Automated Consistency of Legal and Software Architecture System Specifications for Data Protection Analysis"</p>
SPECIFIC CHARACTERISTICS OF STRUCTURAL GROUPS OF APPLIED CONSTRUCTION
<p><i>Article shows the analyses of all the structural features of the application construction, somefactual and conceptual problems and their structural formation, Similarity of the structural groups of the application construction in modern English.</i></p>
Fig. 5 in An integrated analysis of hyperspectral and morphological data of cicada ovipositors revealed unexplored links to specific oviposition hosts
Fig. 5 Hierarchical cluster cladogram based on 25 morphological characters for each of the 11 cicada species. Ca, Cryptotympana atrata; Hm, Hyalessa maculaticollis; Kc, Karenia caelatata; Kn, Katoa neokanagana; Mm, Meimuna mongolica; Mo, Meimuna opalifera; Ph, Platypleura hilpa; Pk, Platypleura kaempferi; Pl, Pomponia linearis; Sy, Subpsaltria yangi; Tj, Tanna japonensis. Height: the value of the criterion associated with the clustering method for the particular agglomeration
Fig. 4 in An integrated analysis of hyperspectral and morphological data of cicada ovipositors revealed unexplored links to specific oviposition hosts
Fig. 4 Comparison of morphological characters of ovipositors among different species. a Ovipositor length; b ovipositor height; c basal width of ovipositor; d apical width of ovipositor; e subapical width of ovipositor; f curvature. Data are presented as mean ± SE. Ca, Cryptotympana atrata; Hm, Hyalessa maculaticollis; Kc, Karenia caelatata; Kn, Katoa neokanagana; Mm, Meimuna mongolica; Mo, Meimuna opalifera; Ph, Platypleura hilpa; Pk, Platypleura kaempferi; Pl, Pomponia linearis; Sy, Subpsaltria yangi; Tj, Tanna japonensis
Fig. 2 in An integrated analysis of hyperspectral and morphological data of cicada ovipositors revealed unexplored links to specific oviposition hosts
Fig. 2 Four major types of sensilla. a Campaniform sensilla; b Basiconica sensilla; c Trichoid sensilla; d Coeloconic sensilla [from Zhong et al. (2017), with kind permission from Springer publishers]. Scale bars: a, b, d 5 µm; c 20 µm
Secondary Graft Loss After Third-party "Off-The-Shelf" Antigen-Specific T cell Infusion
<p>Here, we describe a severe adverse event of virus-specific T cell (VST therapy) in an infant with severe combined immunodeficiency who received VSTs for treatment of CMV viremia post-transplant and developed secondary graft rejection at 1-month post-VST infusion associated with the expansion of VST donor-derived T cells. Deposited here are the bulk repertoire, single-cell gene expression and TCR, and flow cytometry data from the study.</p><p><strong>bulk_rep.zip contains tables of alpha/beta TCR sequences for post-infusion, VST donor, and VST product samples, and samples stimulated with neoepitope peptides. </strong></p><p><strong>VST_agg_wTCR_SS.rds is an R Data Serialization file containing a Seurat object of the processed 10X single-cell gene expression and TCR profiling for the post-infusion, VST donor, and VST product samples. TCR information is stored in the meta.data slot.</strong></p><p><strong>P0230D neoantigen expansions.acs, P0230D pentamers.acs, and P0230D_MLR.acs contain the flow cytometry data for the neoantigen and mixed lymphocyte reaction experiments.</strong></p>
Dataset and code for "Magnitude and determinants of excess total, age- and sex-specific all-cause mortality in 24 countries worldwide during 2020 and 2021: results on the impact of the COVID-19 pandemic from the C-MOR project"
<p>Data and statistical codes used for the results presented in the paper "Magnitude and determinants of excess total, age- and sex-specific all-cause mortality in 24 countries worldwide during 2020 and 2021: results on the impact of the COVID-19 pandemic from the C-MOR project"</p>
Recurrent pain symptoms in adolescents with generalized and specific problematic Internet use: Associations analysis, confounding and mediating effects of comorbid psychosocial problems
<p>Problematic Internet use (PIU) in adolescents is a global public health issue especially exacerbated by the restrictions caused by the COVID-19 epidemic. The authors assume a negative impact of PIU not only in relation to adolescents' mental health and social behaviour but also relative to somatic components of their health, particularly concerning the occurrence of pain symptoms – recurrent headache (RH), recurrent abdominal pain (RAP), and recurrent back pain (RBP). The present study aims to identify the associations between different types of PIU (generalized PIU – PIUgen, problematic computer game use – PUgame, and problematic social media use – PUsocial), and pain symptoms (RH, RAP and RBP), and to determine the role of psychosocial factors in the emergence of these associations.</p> <p><strong>Methods: </strong>The<strong> </strong>research represents a one-stage observational study of 4,411 adolescents (53.6% girls; Mage = 14.53±1.52) in an unbiased school sample, held in three large cities of Central Siberia. The frequency and intensity of pain symptoms over the past three months were ascertained by completing a number of questionnaires. The following questionnaires were used to identify PIU and its types: the Chen Internet Addiction Scale (CIAS for PIUgen), the Game Addiction Scale for Adolescents (GASA for PUgame), and The Social Media Disorder Scale (SMDS for PUsocial). The psychological problems were assessed using The Strengths and Difficulties Questionnaire (SDQ). Logistic and linear regression, as well as mediation analysis, were used.</p> <p><strong>Results:</strong> Considering both the frequency and intensity of pain, along with the presence of psychosocial problems as a confounder, a direct association of RH with PUsocial only was revealed (OR = 1.68, CI = 1.33–2.11). Using the same criteria, RAP in this sample was associated with PIUgen and PUsocial (OR = 1.99, CI = 1.51–2.62 and 2.10, CI = 1.62–2.72, respectively). RBP, according to the obtained data, was also associated with PIUgen and PUsocial both in terms of pain frequency (OR = 1.99, CI = 1.53–2.57 and OR = 2.20, CI = 1.44–3.38, respectively) and intensity. PUgame was weakly associated only with RAP and showed no significant association with RH and RBP. The mediation analysis indicated that the revealed positive associations were largely mediated by psychosocial problems comorbid for PIUgen and PUsocial (but not PUgame).</p> <p><strong>Conclusions: </strong>The<strong> </strong>frequently reported association of recurrent pain symptoms with PIU in adolescents is largely mediated by comorbid psychosocial problems. The direct effect of excessive Internet use on somatic pain symptoms in adolescents is mild-to-moderate and depends on the content predominantly consumed.</p>
Comparing Different Physiotherapy Interventions on APT in Non Specific Low Back Pain
ClinicalTrials.gov study NCT07098741. IPD Sharing: NO. Countries: 1. Publications: 9.
To Evaluate the Efficacy of NY-ESO-1-specific T Cell Receptor Affinity Enhancing Specific T Cell in Solid Tumors
ClinicalTrials.gov study NCT03159585. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.
Comparison of the Ankle-Brachial Index Measurement Using a Specific Oscillometric Device vs. the Doppler Method
ClinicalTrials.gov study NCT03511612. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Effect of a New Specific Enteral Formula Compared to a Standard Formula on the Tolerability of a Combined Radio- and Chemotherapy in Cancer Patients
ClinicalTrials.gov study NCT01025167. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The NEXERCISE-trial: Reshaping Exercise Programs for Patients With Non-specific Neck Pain
ClinicalTrials.gov study NCT04749823. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Longitudinal Analysis of Plasmodium Falciparum-Specific Immunity in Travelers and Immigrants From Malaria Endemic Areas to the United States
ClinicalTrials.gov study NCT02153996. IPD Sharing: Not stated. Countries: 1. Publications: 3.
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.