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259 results for “Systemic Levels”

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ClinicalTrials.gov32/100

Systemic and Local Levels of Lidocaine During Surgery for the Removal of Glioblastoma

ClinicalTrials.gov study NCT04716699. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Nephrogenic Systemic Fibrosis (NSF): Analysis of Tissue Gadolinium Levels

ClinicalTrials.gov study NCT01014754. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

The Effects of Renin Angiotensin System Blockage (RAS), Calcium Channel Blocker and Combined Drugs on TWEAK, PTX3 and FMD Levels in Diabetic Proteinuric Patients With Hypertension

ClinicalTrials.gov study NCT00921570. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Pain and Anxiety Levels of Sleeperone Electronic Anesthesia System in Pediatric Patients

ClinicalTrials.gov study NCT06340022. IPD Sharing: YES. Countries: 1. Publications: 7.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

Serum Levels of Angiotensin Converting Enzyme in Systemic Lupus Erythematous Patients

ClinicalTrials.gov study NCT05516511. IPD Sharing: YES. Countries: 1. Publications: 4.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

Efficacy of Vitamin C Supplementation on Serum IL-6 Levels and Disease Activity in Systemic Lupus Erythematosus Patients

ClinicalTrials.gov study NCT07071220. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Disease's hidden death toll: Using parasite aggregation patterns to quantify landscape-level host mortality in a wildlife system

Open the record for dataset details and reuse information.

publicAug 2020View details →
dryad32/100

Data from: Implications for welfare, productivity and sustainability of the variation in reported levels of mortality for laying hen flocks kept in different housing systems: a meta-analysis of ten studies.

Open the record for dataset details and reuse information.

publicDec 2016View details →
dryad32/100

Data from: The price of looking sexy: visual ecology of a three level predator-prey system

Open the record for dataset details and reuse information.

publicSep 2016View details →
dryad32/100

Third and fourth trophic level composition shift in an aphid-parasitoid-hyperparasitoid food web limits aphid control in an intercropping system

Open the record for dataset details and reuse information.

publicOct 2021View details →
dryad32/100

Data from: Bumble-BEEHAVE: a systems model for exploring multifactorial causes of bumblebee decline at individual, colony, population and community level

Open the record for dataset details and reuse information.

publicApr 2019View details →
dryad32/100

Data from: Responses of aerial insectivorous bats to local and landscape-level features of coffee agroforestry systems in Western Ghats, India

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publicJul 2019View details →
dryad28/100

Data from: System-level insights into the cellular interactome of a non-model organism: inferring, modelling and analysing functional gene network of Soybean (Glycine max)

Cellular interactome, in which genes and/or their products interact on several levels, forming transcriptional regulatory-, protein interaction-, metabolic-, signal transduction networks, etc., has attracted decades of research focuses. However, such a specific type of network alone can hardly explain the various interactive activities among genes. These networks characterize different interaction relationships, implying their unique intrinsic properties and defects, and covering different slices of biological information. Functional gene network (FGN), a consolidated interaction network that models fuzzy and more generalized notion of gene-gene relations, have been proposed to combine heterogeneous networks with the goal of identifying functional modules supported by multiple interaction types. There are yet no successful precedents of FGNs on sparsely studied non-model organisms, such as soybean (Glycine max), due to the absence of sufficient heterogeneous interaction data. We present an alternative solution for inferring the FGNs of soybean (SoyFGNs), in a pioneering study on the soybean interactome, which is also applicable to other organisms. SoyFGNs exhibit the typical characteristics of biological networks: scale-free, small-world architecture and modularization. Verified by co-expression and KEGG pathways, SoyFGNs are more extensive and accurate than an orthology network derived from Arabidopsis. As a case study, network-guided disease-resistance gene discovery indicates that SoyFGNs can provide system-level studies on gene functions and interactions. This work suggests that inferring and modelling the interactome of a non-model plant are feasible. It will speed up the discovery and definition of the functions and interactions of other genes that control important functions, such as nitrogen fixation and protein or lipid synthesis. The efforts of the study are the basis of our further comprehensive studies on the soybean functional interactome at the genome and microRNome levels. Additionally, a web tool for information retrieval and analysis of SoyFGNs can be accessed at SoyFN: http://nclab.hit.edu.cn/SoyFN.

opencc-zeroDec 2013View details →
dryad28/100

Data from: Lower education level is a risk factor for peritonitis and technique failure but not a risk for overall mortality in peritoneal dialysis under comprehensive training system

Background: Lower education level could be a risk factor for higher peritoneal dialysis (PD)-associated peritonitis, potentially resulting in technique failure. This study evaluated the influence of lower education level on the development of peritonitis, technique failure, and overall mortality. Methods: Patients over 18 years of age who started PD at Seoul National University Hospital between 2000 and 2012 with information on the academic background were enrolled. Patients were divided into three groups: middle school or lower (academic year ? 9, n = 102), high school (9 < academic year ? 12, n = 229), and higher than high school (academic year > 12, n = 324). Outcomes were analyzed using Cox proportional hazards models and competing risk regression. Results: A total of 655 incident PD patients (60.9% male, age 48.4 ± 14.1 years) were analyzed. During follow-up for 41 (interquartile range, 20-65) months, 255 patients (38.9%) experienced more than one episode of peritonitis, 138 patients (21.1%) underwent technique failure, and 78 patients (11.9%) died. After adjustment, middle school or lower education group was an independent risk factor for peritonitis (adjusted hazard ratio [HR], 1.61; 95% confidence interval [CI], 1.10-2.36; P = 0.015) and technique failure (adjusted HR, 1.87; 95% CI, 1.10-3.18; P = 0.038), compared with higher than high school education group. However, lower education was not associated with increased mortality either by as-treated (adjusted HR, 1.11; 95% CI, 0.53-2.33; P = 0.788) or intent-to-treat analysis (P = 0.726). Conclusions: Although lower education was a significant risk factor for peritonitis and technique failure, it was not associated with increased mortality in PD patients. Comprehensive training and multidisciplinary education may overcome the lower education level in PD.

opencc-zeroDec 2015View details →
zenodo28/100

Schematic representing the vehicle–to–cell hierarchical overview of a typical electrified powertrain architecture. This represents the system-level context within which the proposed layer optimisation framework has been developed. Two xEV powertrains — a) BEV and b) series PHEV — are chosen as examples to demonstrate how the methodology facilitates common module designs for such battery packs.

<p>Schematic representing the vehicle&ndash;to&ndash;cell hierarchical overview of a typical electrified powertrain architecture. This represents the<br> system-level context within which the proposed layer optimisation framework has been developed. Two xEV powertrains &mdash; a) BEV and b) series PHEV &mdash; are chosen as examples to demonstrate how the methodology facilitates common module designs for such battery packs.</p>

opencc-by-nc-nd-4.0Nov 2018View details →
dryad28/100

Data from: Output variability across animals and levels in a motor system

Rhythmic behaviors vary across individuals. We investigated the sources of this output variability across a motor system, from the central pattern generator (CPG) to the motor plant. In the bilaterally symmetric leech heartbeat system, the CPG orchestrates two coordinations in the bilateral hearts with different intersegmental phase relations (<em>Δ</em>φ) and periodic side-to-side switches. Population variability is large. We show that the system is precise within a coordination, that differences in repetitions of a coordination contribute little to population output variability, but that differences between bilaterally homologous cells may contribute to some of this variability. Nevertheless, much output variability is likely associated with genetic and life history differences among individuals. Variability of <em>Δ</em>φ were coordination-specific: similar at all levels in one, but significantly lower for the motor pattern than the CPG pattern in the other. Mechanisms that transform CPG output to motor neurons may limit output variability in the motor pattern.

opencc-zeroDec 2017View details →
dryad28/100

Data from: Systems and trans-system level analysis identifies conserved iron deficiency responses in the plant lineage

We surveyed the iron nutrition-responsive transcriptome of Chlamydomonas reinhardtii using RNA-Seq methodology. Presumed primary targets were identified in comparisons between visually asymptomatic iron-deficient versus iron-replete cells. This includes the known components of high-affinity iron uptake as well as candidates for distributive iron transport in C. reinhardtii. Comparison of growth-inhibited iron-limited versus iron-replete cells revealed changes in the expression of genes in chloroplastic oxidative stress response pathways, among hundreds of other genes. The output from the transcriptome was validated at multiple levels: by quantitative RT-PCR for assessing the data analysis pipeline, by quantitative proteomics for assessing the impact of changes in RNA abundance on the proteome, and by cross-species comparison for identifying conserved or universal response pathways. In addition, we assessed the functional importance of three target genes, VITAMIN C 2 (VTC2), MONODEHYDROASCORBATE REDUCTASE 1 (MDAR1), and CONSERVED IN THE GREEN LINEAGE AND DIATOMS 27 (CGLD27), by biochemistry or reverse genetics. VTC2 and MDAR1, which are key enzymes in de novo ascorbate synthesis and ascorbate recycling, respectively, are likely responsible for the 10-fold increase in ascorbate content of iron-limited cells. CGLD27/At5g67370 is a highly conserved, presumed chloroplast-localized pioneer protein and is important for growth of Arabidopsis thaliana in low iron.

opencc-zeroDec 2011View details →
ClinicalTrials.gov28/100

Association of Serum Interleukin-33 Levels With Clinical Manifestations in Systemic Lupus Erythematosus

ClinicalTrials.gov study NCT07149402. IPD Sharing: Not stated. Countries: 0. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Study of Norepinephrine Levels and Sympathetic Nervous System Activity

ClinicalTrials.gov study NCT00001329. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

A Systems-Level Intervention for Rural Adults With Depression

ClinicalTrials.gov study NCT04502186. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record