Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
611
datasets available to search
ShareScore release 0.9.0
Dataset results
611 results for “Body mass”
Range contractions and reduced body mass predicted for endemic skinks of the Cameroon volcanic line with future warming
<p><em><span>Aim </span></em></p> <p><span>The vulnerability of montane species to environmental change has been increasingly recognized over the past decade. However, most of these species are regionally endemic with restricted ranges, limiting dispersal necessary for avoiding extinction. </span><span>Threats posed for montane lizards could be further complicated in species following Bergmann's rule, where body size increases with altitude.</span><span> In this study, we applied a bioclimatic and body mass trait-based species distribution model approach to identify areas suitable for montane endemic skink species of the Cameroon Volcanic Line (CVL) under current and future climates. </span></p> <p><em><span>Location</span></em></p> <p><span>Cameroon Volcanic Line</span></p> <p><em><span>Methods</span></em></p> <p><span>We recorded occurrence records and measured body mass in the field for skink species endemic to the CVL. We additionally supplemented our occurrence data with records from an online repository. We projected habitat suitability in the region by implementing the occurrence data in the bioclimatic species distribution models. We further integrated both occurrence and body mass information in our trait-based model to project potential body mass.</span></p> <p><em><span>Results</span></em></p> <p><span>Projected currently suitable ranges were limited to higher elevation regions, which are inhabited by numerous other threatened amphibian and reptile species. We found that, for our two skink species following Bergmann clines in body mass, trait model predictions covered a slightly larger geographic range than bioclimatic estimates. Under future warming, both models predict substantial contractions in suitable areas, potentially constraining species to mountain tops. Through the trait-based approach, we further detected potential warming-induced body mass reductions in projected suitable areas.</span></p> <p><em><span>Main conclusions</span></em></p> <p><span>We thus demonstrate how combining occurrence records with species trait information in predictive modelling can reveal complementary trends for more comprehensive climate change impact assessments. Overall, these challenges towards the persistence of CVL-endemic skink species should prompt urgent responses in national conservation management and local community engagement.</span></p>
Body size and geographic distribution of foraminiferal specimens during the Frasnian-Famennian (Frasnian), Guadalupian-Lopingian (Capitanian), Permian-Triassic (Changhsingian), Triassic-Jurassic (Rhaetian), and Cretaceous-Paleogene (Maastrichtian) mass extinctions.
<p>This dataset is about body size and geographic distribution of foraminiferal specimens during the Frasnian-Famennian (Frasnian), Guadalupian-Lopingian (Capitanian), Permian-Triassic (Changhsingian), Triassic-Jurassic (Rhaetian), and Cretaceous-Paleogene (Maastrichtian) mass extinctions.</p> <p>Foraminiferal body size data collection</p> <p>First, we collected published papers with foraminiferal images from the Frasnian (382.7-372.2 Ma), Capitanian (264.28-259.51 Ma), Changhsingian (254.14-251.902 Ma), Rhaetian (208.5-201.3 Ma), and Maastrichtian (72.1-66.1 Ma). Second, we measured two primary axes of specimens, such as maximum length and height in a conical or cylindrical shell. For some specimens, where there is no way to measure the length of both axes, we calculate the length of the unknown axis based on the aspect ratio of the type species. Third, we used the test volume as a standard indicator of body size, taking into account the diversity of foraminiferal morphology. Finally, the test volumes were calculated on a logarithmic scale with base 10 due to large individual differences, and the specific calculation is shown in Feng et al. (2020).</p>
Phase Angle, Lean Body Mass Index and Tissue Edema and Immediate Outcome of Cardiac Surgery Patients
ClinicalTrials.gov study NCT03644030. IPD Sharing: NO. Countries: 1. Publications: 12.
Pistachio Consumption on Inflammatory Markers and Lean Body Mass
ClinicalTrials.gov study NCT06342024. IPD Sharing: NO. Countries: 1. Publications: 32.
Growth Parameters & Body Mass Index in Children With Chronic Diseases
ClinicalTrials.gov study NCT05801718. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
A Study Comparing Chemotherapy Dosing Based on Either Standard Body Surface Area or Lean Body Mass in Patients With Advanced Lung Cancer
ClinicalTrials.gov study NCT01624051. IPD Sharing: Not stated. Countries: 1. Publications: 5.
The Relationship Between Body Mass Index and Patient Outcomes in Low Flow Anaesthesia
ClinicalTrials.gov study NCT06636448. IPD Sharing: NO. Countries: 1. Publications: 3.
Measuring the Impact of Dietary Supplementation With a High Fiber, High Antioxidant Aleurone on Biomarkers of Cardiovascular Disease and Gut Microbiota in Adults With High Body Mass Index
ClinicalTrials.gov study NCT02067026. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Improvement of Physical Activity and Correction of Body Mass Index in School Children
ClinicalTrials.gov study NCT00176371. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Ultra-Processed Foods and Appetite Regulation: Acute Effects Across Body Mass Index Categories
ClinicalTrials.gov study NCT06798220. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Body Mass Index (BMI) and Quality of Life (QoL) in Cancer Patients
ClinicalTrials.gov study NCT03873064. IPD Sharing: UNDECIDED. Countries: 1. Publications: 8.
Association Between Body Mass Index and HFNC Therapy Success
ClinicalTrials.gov study NCT04799132. IPD Sharing: Not stated. Countries: 1. Publications: 17.
The Effect of Dairy on Bone Mass and Body Composition in 4th-8th Grade Boys and Girls
ClinicalTrials.gov study NCT00635583. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Overeating Different Fats and Influence on Muscle Mass and Body Fat Accumulation
ClinicalTrials.gov study NCT02211612. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Lean Body Mass Response to Higher-protein Diets During Winter Military Training
ClinicalTrials.gov study NCT02327208. IPD Sharing: Not stated. Countries: 2. Publications: 3.
New Body Mass Index (BMI) Cut-offs for the Diagnosis of Obesity and Comorbidities
ClinicalTrials.gov study NCT01055626. IPD Sharing: NO. Countries: 1. Publications: 4.
Comparison of Body Mass Index and Metabolic Score for Visceral Adiposity in Evaluation of Visceral Adiposity
ClinicalTrials.gov study NCT05648409. IPD Sharing: NO. Countries: 1. Publications: 1.
Validation of the New HAG-B19 Scale for Measuring Lean and Fat Body Masse
ClinicalTrials.gov study NCT04504799. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Effects of Protein Supplementation on Lean Body Mass Recovery From Extreme Military Training
ClinicalTrials.gov study NCT02057094. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Protein Dosing Strategies in Critically Ill Patients: Comparing Actual Body Weight and Fat-Free Mass Approaches in an Observational Cohort Study
ClinicalTrials.gov study NCT07312708. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
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.