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257 results for “composition changes”
Elemental and S isotopic composition data for "Sulfur isotopic fractionation of the youngest Chang'e-5 basalts: Constraints on the magma degassing and geochemical features of the mantle source"
<p>Data for "Sulfur isotopic fractionation of the youngest Chang'e-5 basalts: Constraints on the magma degassing and geochemical features of the mantle source".</p>
Deccan region, Madras, India. Genus Vandeleuria is masculine, so widely used specific name oleracea has been changed for gender agreement. Vandeleuria oleraceusis possibly a composite of species. Polytypic, but subspecific taxonomy requires reassessment. Distribution. Widespread in S Asia (India, Nepal, Bhutan, Bangladesh, and Sri Lan-ka), S China (W & S Yunnan), and mainland SE Asia N of the Isthmus of Kra. Descriptive notes. Head-body 68 mm, tail 105 mm, ear 13 mm, hindfoot 17 mm; weight 10 g. The Indomalayan Long-tailed Climbing Mouse is small, with flat nail on outer finger and outertoe; tail is slender, brown, twice as long as head-body length, and lacks distal tuft. Dorsal pelageis silky and salmon in color; venter is white, with fulvous hues. Habitat. Tall cane and tangled vines in primary and secondary forest such as bamboo forest, moist deciduous forest, temperate forests, montane wet zone, and disturbed secondary forests, and perhaps agricultural areas at elevations of 150-1500 m. Food and Feeding. Indomalayan [Long-tailed Climbing Mice eat fruits, buds, and flowers. Breeding. Litters of the Indomalayan Long-tailed Climbing Mouse have 3-6 young. Activity patterns. Indomalayan Long-tailed Climbing Mice are arboreal and nocturnal, although one individual was caught duringthe day. Movements, Home range and Social organization. Indomalayan Long-tailed Climbing Mice build nests in tall bushes or cane to rear their young. Status and Conservation. Classified as Least Concern on The IUCN Red Last (as V. olacea). The Indomalayan Long-tailed Climbing Mouse occurs in several habitats and a wide distribution that includes national parks. Further taxonomical studies are required to assess conservation status ofthis potentially diverse species complex. Bibliography. Corbet & Hill (1992), Dang Huy Huynh et al. (1994), Ellerman (1941), Marshall (1977b), Musser & Carleton (2005), Osgood (1932), Phillips (1980), Wang Yingxiang (2003). in Muridae
Deccan region, Madras, India. Genus Vandeleuria is masculine, so widely used specific name oleracea has been changed for gender agreement. Vandeleuria oleraceusis possibly a composite of species. Polytypic, but subspecific taxonomy requires reassessment. Distribution. Widespread in S Asia (India, Nepal, Bhutan, Bangladesh, and Sri Lan-ka), S China (W & S Yunnan), and mainland SE Asia N of the Isthmus of Kra. Descriptive notes. Head-body 68 mm, tail 105 mm, ear 13 mm, hindfoot 17 mm; weight 10 g. The Indomalayan Long-tailed Climbing Mouse is small, with flat nail on outer finger and outertoe; tail is slender, brown, twice as long as head-body length, and lacks distal tuft. Dorsal pelageis silky and salmon in color; venter is white, with fulvous hues. Habitat. Tall cane and tangled vines in primary and secondary forest such as bamboo forest, moist deciduous forest, temperate forests, montane wet zone, and disturbed secondary forests, and perhaps agricultural areas at elevations of 150-1500 m. Food and Feeding. Indomalayan [Long-tailed Climbing Mice eat fruits, buds, and flowers. Breeding. Litters of the Indomalayan Long-tailed Climbing Mouse have 3-6 young. Activity patterns. Indomalayan Long-tailed Climbing Mice are arboreal and nocturnal, although one individual was caught duringthe day. Movements, Home range and Social organization. Indomalayan Long-tailed Climbing Mice build nests in tall bushes or cane to rear their young. Status and Conservation. Classified as Least Concern on The IUCN Red Last (as V. olacea). The Indomalayan Long-tailed Climbing Mouse occurs in several habitats and a wide distribution that includes national parks. Further taxonomical studies are required to assess conservation status ofthis potentially diverse species complex. Bibliography. Corbet & Hill (1992), Dang Huy Huynh et al. (1994), Ellerman (1941), Marshall (1977b), Musser & Carleton (2005), Osgood (1932), Phillips (1980), Wang Yingxiang (2003).
Chemical and Cl isotopic composition data for "Extremely Large Cl Isotopic Fractionation in Chang'e-5 Impact Glass Beads"
<p>Data for "Extremely Large Cl Isotopic Fractionation in Chang'e-5 Impact Glass Beads".</p>
SDM results for 10,590 tree species from "Regional uniqueness of tree species composition and response to forest loss and climate change"
<p>Output from species distribution models (SDMs) with geographic constraints to estimate the spatial distribution of tree species at the global level at a 30-arc second resolution, presented in the publication "Regional uniqueness of tree species composition and response to forest loss and climate change". </p> <h2>Data</h2> <p>This file contains the results for 10,590 tree species. The results for each species are contained in a directory with the species name connected by an underscore. For most species, the directory contains several .tif files that make up the tiles of the distribution maps for that species and a metadata file. The .tif files can be merged with the gdal_merge.py function to obtain a single .tif file per species (see example below). For some species, the directory contains a single .tif file which does not require merging. In all cases, the .tif files contain 9 bands that correspond to the predicted species distribution using climatic variables corresponding to various climate projections from Chelsa 2.1.</p> <h3>Band order</h3> <ol> <li>covariates_1981_2010: average of historical climate measurements from 1981 to 2010</li> <li>covariates_2011_2040_ssp126: average future climate projection for 2011-2040 under shared socioeconomic pathway (SSP) 1.26</li> <li>covariates_2011_2040_ssp370: average future climate projection for 2011-2040 under SSP 3.70</li> <li>covariates_2011_2040_ssp585: average future climate projection for 2011-2040 under SSP 5.85</li> <li>covariates_2041_2070_ssp126: average future climate projection for 2041-2070 under SSP 1.26</li> <li>covariates_2041_2070_ssp370: average future climate projection for 2041-2070 under SSP 3.70</li> <li>covariates_2041_2070_ssp585: average future climate projection for 2041-2070 under SSP 5.85</li> <li>covariates_2071_2100_ssp126: average future climate projection for 2071-2100 under SSP 1.26</li> <li>covariates_2071_2100_ssp370: average future climate projection for 2071-2100 under SSP 3.70</li> <li>covariates_2071_2100_ssp585: average future climate projection for 2071-2100 under SSP 5.85</li> </ol> <h3>Metadata</h3> <p>The metadata contains more information about the bands, as well as the following species-level properties:</p> <ul> <li>nobs: number of spatially distinct occurrence records used in model training</li> <li>precision: precision of binarised model output computed through 3-fold cross-validation</li> <li>threshold: threshold used to binarise probabilistic model output, determined as the threshold maximizing the true skill statistic (TSS) during 3-fold cross-validation</li> <li>f1: F1 score of binarised model output computed through 3-fold cross-validation</li> <li>auc: area under the ROC curve (AUC) of model output computed through 3-fold cross-validation</li> <li>prevalence: prevalence of presences (ie. occurrences records) throughout the training data which consisted of occurrence records and pseudo-absences</li> <li>tss: TSS of binarised model output computed through 3-fold cross-validation</li> <li>recall: recall of binarised model output computed through 3-fold cross-validation</li> <li>nativeness_info: indicates whether reported native countries were available for this species (possible values: "yes" or "no", should be "yes" for all species included)</li> <li>npa: number of pseudo-absences used in model training</li> <li>system:index: species name </li> </ul> <h3>Merging example</h3> <p>For example, the directory Abarema_barbouriana contains files Abarema_barbouriana_0.tif, Abarema_barbouriana_2.tif, ..., Abarema_barbouriana_9.tif and metadata.json. The tiles can be merged with the command "gdal_merge.py -o Abarema_barbouriana_merged.tif Abarema_barbouriana/Abarema_barbouriana_*.tif".</p>
Changes in structure and composition of protected forest habitats after 10 years: Analyzes from different Natura 2000 sites in Saxony-Anhalt, Germany
<p>The data utilized in the paper "Wild et al. (2024)," submitted in Ecology and Evolution, are provided herein. The study examines the alterations in forest structure and species composition in Natura 2000 sites over a period of approximately ten years in the Harz and Harz foreland regions of Saxony-Anhalt, Germany.</p> <p>The data were collected as part of the research project "Possibilities and Methods for the Promotion of Tree Species and Habitats of Native Forests as a Building Block for Adaptation to Climate Change and for Coping with Forest Damage Using the Example of Selected Natura 2000 Areas in Saxony-Anhalt" (10/2020 – 06/2023) (project no. 407.1.10-60128/630120000006) funded by the European Agricultural Fund for Rural Development and the State Administration Office of Saxony-Anhalt. </p> <p>The surveys were conducted between the months of July and September in the years 2021 and 2022. </p>
Data for: Plant-soil biota interactions explain shifts in plant community composition under global change
<p>1. Plant-soil biota interactions play a crucial role in the assembly of plant communities and the maintenance of plant species diversity. However, few studies have tested how the effect of soil biota on plant species and communities depend on environmental context and whether shifts in plant community composition caused by environmental change are associated with variation in plant-soil biota interactions. 2. We combined a field experiment in a Tibetan alpine meadow and a greenhouse experiment with factorial combinations of nitrogen (N) enrichment and warming to examine the role of plant-soil biota interactions in plant community dynamics. 3. The results showed that plant relative abundances were negatively correlated with the net effects of soil biota on plant growth but only under ambient field conditions. Warming and N-enrichment alleviated the negative soil biota effects in the greenhouse, and changed plant community composition and reduced species diversity in the field. Importantly, changes in soil biota effects on plant growth were positively correlated with changes in plant relative abundances caused by warming and N-enrichment in field. In a parallel field experiment, the diversity of mycorrhizal fungi increased while the diversity of fungal pathogens remained unchanged under warming and N-enrichment, indicating that soil biodiversity may play a critical role in plant responses to environmental change. 4. This study empirically demonstrates that altered plant-soil biota interactions explain shifts in plant community composition under global change, providing new insights into the mechanisms of diversity loss in a changing world.</p>
Changes in Weight, Body Composition and Metabolic Parameters After Discontinuing Dolutegravir or Tenofovir Disproxil
ClinicalTrials.gov study NCT04903847. IPD Sharing: Not stated. Countries: 1. Publications: 14.
Body Composition Changes During Overfeeding Plus Resistance Training
ClinicalTrials.gov study NCT04069351. IPD Sharing: Not stated. Countries: 1. Publications: 1.
BodyPump and Personal Training - Changes in Muscle Strength and Body Composition
ClinicalTrials.gov study NCT01993953. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Application of Serial Body Composition Change for Risk Prediction in Treating Patients With Severe Pneumonia
ClinicalTrials.gov study NCT04396522. IPD Sharing: NO. Countries: 1. Publications: 39.
Comorbidities Resolution After MGB Surgery and Change in Body Composition
ClinicalTrials.gov study NCT06015620. IPD Sharing: NO. Countries: 1. Publications: 7.
The Changes of Body Composition, Glucolipid Metabolism and Bone Metabolism in Obese Children After Weight Loss
ClinicalTrials.gov study NCT03490448. IPD Sharing: NO. Countries: 1. Publications: 11.
The Effect of Physical Activity Intervention Flexibility on the Time Course of Changes in Body Composition and Metabolism
ClinicalTrials.gov study NCT02020239. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Body Composition Changes After TIPS and Associated Clinical Outcomes
ClinicalTrials.gov study NCT05420753. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Changes in Weight, Body Composition and Cardiac Risk After Discontinuing Abacavir Treatment in HIV-infected Individuals
ClinicalTrials.gov study NCT04904406. IPD Sharing: NO. Countries: 1. Publications: 22.
Changes in Muscle Strength, Inflammatory Markers, and Body Composition in Response to Alternate Day Fasting Combined With Krill Oil Supplementation in Adults With Overweight and Obesity
ClinicalTrials.gov study NCT06001632. IPD Sharing: NO. Countries: 1. Publications: 1.
Changes in Body Composition After EPA Supplementation in Head and Neck Patients
ClinicalTrials.gov study NCT02715596. IPD Sharing: YES. Countries: 1. Publications: 0.
Changes in Body Composition and Metabolic Risk Parameters by Life Style Intervention.
ClinicalTrials.gov study NCT00356785. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Age-Related Changes in Body Composition
ClinicalTrials.gov study NCT01517113. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Changes in Renal Function and Body Composition in Pulmonary Hypertension
ClinicalTrials.gov study NCT03039972. IPD Sharing: YES. Countries: 1. Publications: 4.
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.