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611 results for “Body mass”

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geo24/100

Increased body mass index is linked to systemic inflammation through altered chromatin co-accessibility in human preadipocytes [ATAC-Seq]

GEO Series GSE235361. Homo sapiens. 30 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJun 2023View details →
geo24/100

TCF7L2 lncRNA: A Link between Bipolar Disorder and Body Mass Index through Glucocorticoid Signaling [RNA-Seq]

GEO Series GSE179921. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2021View details →
geo24/100

Reverse gene-environment interaction approach to identify variants influencing body mass index in humans

GEO Series GSE129574. Homo sapiens. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Other.

openGEO-OpenJun 2019View details →
geo24/100

TCF7L2 lncRNA: A Link between Bipolar Disorder and Body Mass Index through Glucocorticoid Signaling

GEO Series GSE179922. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJul 2021View details →
geo24/100

Profiling of CD8+T cells upon treatment with extracellular vesicles derived from colorectal cancer and normal patients with different body mass index

GEO Series GSE152508. Homo sapiens. 15 samples. Type: Expression profiling by array.

openGEO-OpenSep 2020View details →
geo24/100

Epigenomic and lipidomic changes in Multiple Sclerosis patients with high Body Mass Index enhance the neurotoxic function of monocytes

GEO Series GSE103929. Homo sapiens. 49 samples. Type: Methylation profiling by array.

openGEO-OpenJun 2019View details →
geo24/100

Baseline body fat percentage is related with weight and fat mass gain from high-fat overfeeding over a period of 8 weeks

GEO Series GSE294614. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2025View details →
geo24/100

Increased body mass index is linked to systemic inflammation through altered chromatin co-accessibility in human preadipocytes [RNA-Seq]

GEO Series GSE235362. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2023View details →
geo24/100

Single-cell analysis of human testis aging and correlation with elevated body mass index

GEO Series GSE182786. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2022View details →
geo24/100

Whole Sequencing Of The Mitochondrial Genome Of Breast Tumor Tissue In Mexican-Mestizo Postmenopausal Women, With Different Body Mass Index

GEO Series GSE125801. Homo sapiens. 12 samples. Type: Genome variation profiling by genome tiling array.

openGEO-OpenMar 2019View details →
geo24/100

Epigenome-wide analysis of monozygotic twin pairs discordant for body mass index

GEO Series GSE43975. Homo sapiens. 96 samples. Type: Methylation profiling by array.

openGEO-OpenApr 2015View details →
geo24/100

TCF7L2 lncRNA: A Link between Bipolar Disorder and Body Mass Index through Glucocorticoid Signaling [ChIP-Seq]

GEO Series GSE179762. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJul 2021View details →
zenodo24/100

FIGURE 3 in Body Mass, Bone "Strength Indicator," and Cursorial Potential of Tyrannosaurus rex

FIGURE 3. How to kill a Tyrannosaurus rex.

opencc-by-4.0Dec 1995View details →
dryad24/100

Data from: Too important to tamper with: predation risk affects body mass and escape behaviour but not escape ability

1. Escaping from a predator is a matter of life or death, and prey are expected to adaptively alter their physiology under chronic predation risk in ways that may affect escape. Theoretical models assume that escape performance is mass-dependent whereby scared prey strategically maintain an optimal body mass to enhance escape. Experiments testing the mass-dependent predation risk (MDPR) hypothesis have demonstrated that prior experience of predation risk can affect body mass, and the behavioural decisions about evasive actions to take. Other studies on natural changes in body mass indicate that mass can affect escape. No single experiment has tested if all of these components are indeed linked, which is a critical necessary condition underpinning the MDPR. 2. We tested all components of the MDPR in a repeated-measures experiment by presenting predator and non-predator cues to brown-headed cowbirds housed in semi-natural conditions. Exposure to predator cues affected body mass, fat, pectoral muscle thickness, and evasive actions (take-off angle and speed), but not the physiological capacity to escape, as measured by flying ability. Examining individual variation revealed that flying ability was unrelated to mass loss in either sex, unrelated to mass gain in males, and only females that gained a very large amount of mass flew poorly. 3. We next conducted a body mass manipulation in the lab to rigorously test whether small to large perturbations in mass can ever affect flying ability. We induced either no change in mass (control), a moderate reduction of <10%, and a more extreme reduction of >10% which the literature suggests should enhance flight. Flying ability was maintained regardless of treatment. Examining individual variation revealed the same precise patterns as in the first experiment. 4. We conclude that prey may alter their mass and evasive actions in response to predation risk, but their escape ability remains robust and inelastic, presumably because dis-abling oneself is likely to lead to disastrous consequences. We suggest that animals may only face a mass-dependant predation risk trade-off in a narrow set of circumstances linked to life history stages that require large amounts of mass gain, e.g. parturition and migration.

opencc-zeroDec 2016View details →
dryad24/100

Data from: Extrapolating body masses in large terrestrial vertebrates

Despite more than a century of interest, body-mass estimation in the fossil record remains contentious, particularly when estimating the body mass of taxa outside the size scope of living animals. One estimation approach uses humeral and femoral (stylopodial) circumferences collected from extant (living) terrestrial vertebrates to infer the body masses of extinct tetrapods through scaling models. When applied to very large extinct taxa, extant-based scaling approaches incur obvious methodological extrapolations leading some to suggest that they may overestimate the body masses of large terrestrial vertebrates. Here, I test the implicit assumption of such assertions: that a quadratic model provides a better fit to the combined humeral and femoral circumferences-to-body mass relationship. I then examine the extrapolation potential of these models through a series of subsetting exercises in which lower body-mass sets are used to estimate larger sets. Model fitting recovered greater support for the original linear model, and a nonsignificant second-degree term indicates that the quadratic relationship is statistically linear. Nevertheless, some statistical support was obtained for the quadratic model, and application of the quadratic model to a series of dinosaurs provides lower mass estimates at larger sizes that are more consistent with recent estimates using a minimum convex-hull (MCH) approach. Given this consistency, a quadratic model may be preferred at this time. Still, caution is advised; extrapolations of quadratic functions are unpredictable compared with linear functions. Further research testing the MCH approach (e.g., the use of a universal upscaling factor) may shed light on the linear versus quadratic nature of the relationship between the combined femoral and humeral circumferences and body mass.

opencc-zeroDec 2016View details →
zenodo24/100

Raw data for the article: Impact of body mass index on perioperative outcomes of laparoscopic major hepatectomies

<p><strong>Background:&nbsp;</strong>Data on the effect of body mass index on laparoscopic liver resections are conflicting. We performed this study to investigate the association between body mass index and postoperative outcomes after laparoscopic major hepatectomies.</p> <p><strong>Methods:&nbsp;</strong>This is a retrospective review of 4,348 laparoscopic major hepatectomies at 58 centers between 2005 and 2021, of which 3,383 met the study inclusion criteria. Concomitant major operations, vascular resections, and previous liver resections were excluded. Associations between body mass index and perioperative outcomes were analyzed using restricted cubic splines. Modeled effect sizes were visually rendered and summarized.</p> <p><strong>Results:&nbsp;</strong>A total of 1,810 patients (53.5%) had normal weight, whereas 1,057 (31.2%) were overweight and 392 (11.6%) were obese. One hundred and twenty-four patients (3.6%) were underweight. Most perioperative outcomes showed a linear worsening trend with increasing body mass index. There was a statistically significant increase in open conversion rate (16.3%, 10.8%, 9.2%, and 5.6%, P &lt; .001), longer operation time (320 vs 305 vs 300 and 266 minutes, P &lt; .001), increasing blood loss (300 vs 300 vs 295 vs 250 mL, P = .022), and higher postoperative morbidity (33.4% vs 26.3% vs 25.0% vs 25.0%, P = .009) in obese, overweight, normal weight, and underweight patients, respectively (P &lt; .001). However, postoperative major morbidity demonstrated a "U"-shaped association with body mass index, whereby the highest major morbidity rates were observed in underweight and obese patients.</p> <p><strong>Conclusion:&nbsp;</strong>Laparoscopic major hepatectomy was associated with poorer outcomes with increasing body mass index for most perioperative outcome measures.</p>

opencc-by-4.0Feb 2024View details →
zenodo24/100

Raw data for the article: Impact of body mass index on the difficulty and outcomes of laparoscopic left lateral sectionectomy

<p><strong>Introduction:&nbsp;</strong>Currently, the impact of body mass index (BMI) on the outcomes of laparoscopic liver resections (LLR) is poorly defined. This study attempts to evaluate the impact of BMI on the peri-operative outcomes following laparoscopic left lateral sectionectomy (L-LLS).</p> <p><strong>Methods:&nbsp;</strong>A retrospective analysis of 2183 patients who underwent pure L-LLS at 59 international centers between 2004 and 2021 was performed. Associations between BMI and selected peri-operative outcomes were analyzed using restricted cubic splines.</p> <p><strong>Results:&nbsp;</strong>A BMI of &gt;27kg/m2 was associated with increased in blood loss (Mean difference (MD) 21 mls, 95% CI 5-36), open conversions (Relative risk (RR) 1.13, 95% CI 1.03-1.25), operative time (MD 11 min, 95% CI 6-16), use of Pringles maneuver (RR 1.15, 95% CI 1.06-1.26) and reductions in length of stay (MD -0.2 days, 95% CI -0.3 to -0.1). The magnitude of these differences increased with each unit increase in BMI. However, there was a "U" shaped association between BMI and morbidity with the highest complication rates observed in underweight and obese patients.</p> <p><strong>Conclusion:&nbsp;</strong>Increasing BMI resulted in increasing difficulty of L-LLS. Consideration should be given to its incorporation in future difficulty scoring systems in laparoscopic liver resections.</p>

opencc-by-4.0Feb 2024View details →
zenodo24/100

Data associated with "Warm temperature is associated with reduced body mass and diversification rates while increasing extinction risks in cold-adapted seabirds"

<p>This record contains data associated with the paper "Warm temperature is associated with reduced body mass and diversification rates while increasing extinction risks in cold-adapted seabirds";</p> <p>Four files including Dataset S1 for 328 seabird species, range maps for Non-Procellariimorphae seabirds and Procellariimorphae seabirds, and model results, are described further in the sections below.</p> <p>1. Dataset S1 file</p> <p>Dataset S1 includes species traits, environment temperature and species-level lineage diversification rates. Four subfiles contain data for 182 Non-Procellariimorphae seabirds and 146 Procellariimorphae seabirds, 138 and 159 extinct species from Non-Procellariimorphae seabirds and Procellariimorphae seabirds across 65 million years, respectively.</p> <table> <tbody> <tr> <td><strong>Variable</strong></td> <td><strong>Long name</strong></td> </tr> <tr> <td>NPMseabirds</td> <td>Non-Procellariimorphae seabirds</td> </tr> <tr> <td>PMseabirds</td> <td>Procellariimorphae seabirds</td> </tr> <tr> <td>extinctNPM</td> <td>Extinct Non-Procellariimorphae seabirds</td> </tr> <tr> <td>extinctPM</td> <td>Extinct Procellariimorphae seabirds</td> </tr> <tr> <td>Mass(g)</td> <td>Body mass (g)</td> </tr> <tr> <td>HWI</td> <td>Hand-wing index</td> </tr> <tr> <td>DR</td> <td>Diversification rate</td> </tr> <tr> <td>GenLength</td> <td>Generation length (year)</td> </tr> <tr> <td>AnnualTemp</td> <td>Mean annual temperature (℃)</td> </tr> <tr> <td>CR</td> <td>Critically endangered</td> </tr> <tr> <td>EN</td> <td>Endangered</td> </tr> <tr> <td>VU</td> <td>Vulnerable</td> </tr> <tr> <td>NT</td> <td>Near threatened</td> </tr> <tr> <td>LC</td> <td>Least concerned</td> </tr> <tr> <td>DD</td> <td>Data deficient</td> </tr> <tr> <td>n_occs</td> <td>Occurrence number</td> </tr> <tr> <td>max_ma</td> <td>Max age (million years)</td> </tr> <tr> <td>min_ma</td> <td>Min age (million years)</td> </tr> </tbody> </table> <p>&nbsp;</p> <p>2. NPM_seabirds.zip file</p> <p>This file includes range maps of 146 non-Procellariimorphae seabirds.</p> <p>3. PM_seabirds.zip file</p> <p>This file includes range maps of 180 Procellariimorphae seabirds.</p> <p>4. Model_Results.docx file</p> <p>This file includes the results of phylogenetic generalized ANOVA, spatial autoregressive models, Bayesian phylogenetic regression and phylogenetic logistic regression.</p>

opencc-by-4.0Nov 2024View details →
zenodo24/100

EARLY DETECTION OF PREECLAMPSIA IN LOW-RESOURCE SETTING: EXAMINING RISK FACTORS, MEAN ARTERIAL BLOOD PRESSURE (MAP), BODY MASS INDEX (BMI), AND URINE PROTEIN AT PUBLIC PRIMARY HEALTH CARE

<p>Master data for EARLY DETECTION OF PREECLAMPSIA IN LOW-RESOURCE SETTING: EXAMINING RISK FACTORS, MEAN ARTERIAL BLOOD PRESSURE (MAP), BODY MASS INDEX (BMI), AND URINE PROTEIN AT PUBLIC PRIMARY HEALTH CARE</p>

opencc-by-4.0Oct 2024View details →
ClinicalTrials.gov24/100

Smartphone Pedometers and Body Mass of Overweight and Obese Clients.

ClinicalTrials.gov study NCT03423966. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 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