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3,583 results for “elevations”
Figure 10 from: Sánchez-Reyes UJ, Niño-Maldonado S, Barrientos-Lozano L, Clark SM, Jones RW (2016) Faunistic patterns of leaf beetles (Coleoptera, Chrysomelidae) within elevational and temporal gradients in Sierra de San Carlos, Mexico. ZooKeys 611: 11-56. https://doi.org/10.3897/zookeys.611.9608
Figure 10 - Cluster analysis of chrysomelid composition by month in Sierra de San Carlos, Mexico. Delimitation of groups is indicated by red dotted line.
Figure 1 from: Sánchez-Reyes UJ, Niño-Maldonado S, Barrientos-Lozano L, Clark SM, Jones RW (2016) Faunistic patterns of leaf beetles (Coleoptera, Chrysomelidae) within elevational and temporal gradients in Sierra de San Carlos, Mexico. ZooKeys 611: 11-56. https://doi.org/10.3897/zookeys.611.9608
Figure 1 - Study area. A Location of Tamaulipas in Mexico B Location of Sierra de San Carlos within Tamaulipas C Study area (red square) within Sierra de San Carlos D Details of study area: 1 = Cerro El Diente, 2 = Ejido Carricitos y Tinajas, 3 = San Nicolás.
Low elevation species richness and biodiversity in the eastern Mojave desert, Clark County
<p>Global loss of biodiversity is a well-known concern for conservationists and managers, but detailed spatial maps of local biodiversity for use by local managers are often lacking. We used a suite of existing species distribution models to calculate spatial variation in low-elevation species richness across Clark County, Nevada, USA, comprising much of the eastern Mojave Desert. We then used a macroecological model to estimate true latent low-elevation biodiversity across the county, correcting for potential taxonomic bias in the estimates of species richness. We found that species richness and biodiversity tended to be higher along the Muddy and Virgin rivers and in the Las Vegas valley. Biodiversity was positively associated with flat, rocky landforms, low elevation, late seasonal greenup, and lower differences between winter and summer temperatures. We present a brief example for local managers to apply the new publicly available low-elevation species richness and biodiversity spatial layers.</p>
Quality of CAD-CAM inlays placed on aged resin-based composite restorations used as deep margin elevation
<p>This file comprises the dataset generated and analyzed in an investigation assessing the impact of the age of resin-based composite restorations used as deep margin elevation on the marginal quality and fracture behavior of CAD-CAM inlays</p>
Identification of novel HPFH-like mutations by CRISPR base editing that elevate the expression of fetal hemoglobin
<p><span>Naturally occurring point mutations in the <i>HBG</i> promoter switch hemoglobin synthesis from defective adult beta-globin to fetal gamma-globin in sickle cell patients with hereditary persistence of fetal hemoglobin (HPFH) and ameliorate the clinical severity. Inspired by this natural phenomenon, we tiled the highly homologous<i> HBG1</i> and <i>HBG2 </i>proximal promoters using adenine and cytosine base editors that avoid the generation of large deletions. Among the novel regulatory region identified, base editing at -123 region induced HbF to a higher level than disruption of a well-known BCL11A binding site in erythroblasts derived from healthy donor CD34+ HSPC. We further demonstrated <i>in vitro</i> that the introduction of -123T>C and -124T>C HPFH-like mutations drives gamma-globin expression by creating a <i>de novo</i> binding site for the master erythroid regulator KLF1. Overall, our findings shed light on so far unknown regulatory elements within the <i>HBG</i> promoter and identified additional targets for therapeutic upregulation of fetal hemoglobin. </span></p>
Environmental filters of freshwater fish community assembly along elevation and latitudinal gradients
Aim <p>The aim was to identify drivers of historical freshwater fish community assembly by testing for interactions between functional traits and two climatic gradients, namely elevation and latitude. Many studies conclude that environmental filtering is the dominant process of community-wide trait convergence at high elevations and high latitudes, but a full understanding of which specific filters cause trait convergence is lacking.</p> Location <p>Great Plains–Rocky Mountains, USA.</p> Time period <p>1960–2018.</p> Major taxa studied <p>Freshwater fish.</p> Methods <p>Using 2,539 stream fish community surveys documenting the native distributions of 51 species, we evaluated trait–environment relationships (trade-offs) and trait–dispersion relationships (standardized effect sizes from null models) along elevation and latitudinal gradients in four functional trait categories. We tested whether elevation and latitude exhibited similar trait–environment and trait–dispersion relationships using four functional trait categories (life history, habitat, trophic and locomotion). We predicted that elevation and latitude would have similar relationships owing to shared environmental filters of cold stress and dispersal constraints.</p> Results <p>Life history was the only trait category to display evidence of increased environmental filtering along both gradients, with trait dispersion more constrained at high elevations and high latitudes. Trade-offs revealed that periodic strategies (high fecundity, low juvenile survivorship) decreased with elevation and increased with latitude, whereas equilibrium strategies (low fecundity, high juvenile survivorship) declined along both gradients. Despite the observation of predictable trade-offs for habitat, trophic and locomotion trait strategies, there was little evidence for environmental filtering of these traits at high elevations and high latitudes.</p> Main conclusions <p>Elevation and latitude appear to be environmental filters of freshwater fish community assembly when mediated through life-history strategies, which is likely to be attributable to thermal constraints on growth and reproduction. Our results support the role of environmental filtering in trait convergence patterns along climatic gradients, and we identify cold stress as one specific filter of community assembly.</p>
Data attached to Radio Science paper "Model to Scale Rain Attenuation Time Series with Link Elevation Angle for LEO Satellite Based Systems"
<p>Data attached to Radio Science paper "Model to Scale Rain Attenuation Time Series with Link Elevation Angle for LEO Satellite Based Systems"</p>
FIGURE 2 in Phylogeny of the Ficus sarmentosa complex (Moraceae) uncovered an omitted species and the rank elevation of F. pubigera var. maliformis
FIGURE 2. Holotype of Ficus muricata Zhen Zhang & Hong-Qing Li.
Elevated acute phase proteins affect pharmacokinetics in COVID-19 trials: Lessons from the CounterCOVID - imatinib study
<p>Abstract</p> <p>This study aimed to determine whether published pharmacokinetic (PK) models can adequately predict the PK profile of imatinib in a new indication, such as coronavirus disease 2019 (COVID-19). Total (bound + unbound) and unbound imatinib plasma concentrations obtained from 134 patients with COVID-19 participating in the CounterCovid study and from an historical dataset of 20 patients with gastrointestinal stromal tumor (GIST) and 85 patients with chronic myeloid leukemia (CML) were compared. Total imatinib area under the concentration time curve (AUC), maximum concentration (C<sub>max</sub>) and trough concentration (C<sub>trough</sub>) were 2.32-fold (95% confidence interval [CI] 1.34–3.29), 2.31-fold (95% CI 1.33–3.29), and 2.32-fold (95% CI 1.11–3.53) lower, respectively, for patients with CML/GIST compared with patients with COVID-19, whereas unbound concentrations were comparable among groups. Inclusion of alpha1-acid glycoprotein (AAG) concentrations measured in patients with COVID-19 into a previously published model developed to predict free imatinib concentrations in patients with GIST using total imatinib and plasma AAG concentration measurements (AAG-PK-Model) gave an estimated mean (SD) prediction error (PE) of −20% (31%) for total and −7.0% (56%) for unbound concentrations. Further covariate modeling with this combined dataset showed that in addition to AAG; age, bodyweight, albumin, CRP, and intensive care unit admission were predictive of total imatinib oral clearance. In conclusion, high total and unaltered unbound concentrations of imatinib in COVID-19 compared to CML/GIST were a result of variability in acute phase proteins. This is a textbook example of how failure to take into account differences in plasma protein binding and the unbound fraction when interpreting PK of highly protein bound drugs, such as imatinib, could lead to selection of a dose with suboptimal efficacy in patients with COVID-19.</p>
Raw results of nanoLC-Q-TOF-MS /MS for four immunoblotting spots with elevated autoantibody levels in early ESCC.
<p>NanoLC-Q-TOF-MS/MS was used to identified the candidate autoantibodies which were detected from the serum of ESCC patients but not from healthy controls. Mascot searching engine were used to make a confirmation of the information provided by MS spectrum. In the database are the original results of the immunoblotting spots that we screened.</p>
Effects of elevated ozone exposure on regional meteorology and air quality in China through ozone-vegetation coupling
<p>Main data and code used in the study.</p>
MSc. Thesis: Climate change and ectotherms - How rising temperatures might elevate rates of evolution
<p>R scripts & additional data created for a master's thesis at Johann Wolfgang Goethe-Universität Frankfurt am Main in collaboration with Senckenberg Biodiversity- and Climate Research Centre (SBiK-F)</p> <p> </p>
Map of the rate of elevation change of Mont-Blanc glaciers derived from Pléiades stereo-images
<p>This collection contains three map of elevation changes derived form Pléiades images acquired in 2012, 2021 and 2022 over the Mont-Blanc Massif (Alps) with a horizontal grid spacing of 4 m. They were derived from stereo-pairs acquired 19 August 2012, 15 August 2021, 12 October 2022, 8 August 2022 and 5 October 2022. No data are indicated by the -9999 value.</p> <p>We generated 4-m DEMs from five Pléiades stereo-pairs using the semi-global matching algorithm of the Ames Stereo Pipeline (Beyer et al., 2018) and the set of parameters defined in Deschamps-Berger et al. (2020). The DEMs were first coregistered on stable terrain, masking out glacierized areas using a glacier inventory from year 2015 (Paul et al., 2020). Spatially-coherent biases in the elevation difference maps were next corrected using a polynomial fit across-track and a spline fit in the along-track direction (Falaschi et al., 2023). </p> <p>Pléiades stereo-images were obtained thanks to DINAMIS Project, for “Dispositif Institutionnel National d’Approvisionnement Mutualisé en Imagerie Satellitaire”, a French platform that acquires and distributes very high resolution Earth satellite imagery for French and foreign institutional users under specific subscription conditions.</p>
The Electric Vehicle Travelling Salesman Problem on Digital Elevation Models for Traffic-Aware Urban Logistics Supplementary Material
<p>These files correspond to the supplementary material of the article <em>The Electric Vehicle Travelling Salesman Problem on Digital Elevation Models for Traffic-Aware Urban Logistics</em>. </p> <p><strong>Code</strong></p> <ul> <li><strong>algorithm.py</strong> corresponds to an implementation of the algorithm developed in the paper to solve the EV-TSP for the city of Madrid. It takes as input a list of nodes from the graph of Madrid city <strong>madrid_elevation_energy.pckl</strong> and the output consists of an ordered list of all the nodes representing the solution to the TSP.</li> <li><strong>bellmanFord.py</strong> is a Python implementation of the Bellman-Ford algorithm. </li> <li><strong>evaluation.py</strong> is the script that offers the evaluation of the algorithm offered in Tables 1 and 2 in the paper.</li> <li><strong>neuralNetworkTraining.py</strong> is the script used to train and save the Neural Network model using the data generated by <strong>simulation.py</strong>.</li> <li><strong>nn_model_predictor.py</strong> is a script where the model trained in <strong>neuralNetworkTraining.py</strong> can be used to generate predictions.</li> <li><strong>simulation.py</strong> is the script that simulated the routes through the months of October and November 2022 using the data in <strong>snapshots_2022.zip</strong>. It generates the routes in <strong>simulationOctober.csv</strong> and <strong>simulationNovember.csv</strong></li> <li><strong>twoOptNearestNeighnors.py</strong> is a Pyhton implementation of the 2-Opt algorithm that uses Nearest Neighbors to generate the initial tour.</li> </ul> <p><strong>Files</strong></p> <ul> <li><strong>Madrid{5,10,15}.pkl</strong> are the test instances for the city of Madrid. Correspond to Python list of list. Each list is a set of stops to visit in the city graph of Madrid (<strong>madrid_elevation_energy.pckl</strong>) </li> <li><strong>energy_estimation_full.h5</strong> is a Keras model trained using <strong>nn_model_predictor.py</strong> to estimate the energy.</li> <li><strong>scaler_full.pkl</strong> is the scaler needed to use the <strong>energy_estimation_full.h5</strong> model.</li> <li><strong>simulation{October, November}.pkl</strong> are the routes generated for each month using <strong>simulation.py</strong>.</li> <li><strong>snapshots_2022.zip</strong> are the traffic data for the months of October and November 2022</li> </ul>
Alpine plant species converge towards adopting elevation-specific resource-acquisition strategy in response to experimental early snow-melting
<p>An experimental to assess the effect of early snow-melting on alpine species at contrasting elevation was established in 2019 at Rohtang (32°22' N; 77°16' E) in western Himalaya. After completion of 02 year of experiment, sampling was performed on 08 alpine plant species. We have collected leaf functional trait and physiological traits during peak growing season (August 2020) from two elevation (3850 and 4150 m) and from control and treatment plots. The trait values of 15 replicates for each species were given here for leaf functional traits (viz. leaf area, specific leaf area, leaf dry matter content, leaf water content, plant height) and trait values of 05 replicated for each species were given for elemental (Nitrogen % and carbon/nitrogen ratio ) and physiological traits (leaf chlorophyll content, Carotenoid content, Malondialdehyde equivalents, Phenol content, Proline content, Total soluble Sugar content, Total protein content). We have provided trait values from both control and treatment plots. </p>
Evaluating Whether Treating Elevated Blood Pressure in the Inpatient Setting Impacts Patient Outcomes
ClinicalTrials.gov study NCT07208669. IPD Sharing: YES. Countries: 1. Publications: 0.
Phase I Study of the Safety, Tolerability, PK & PD of Lomitapide in Japanese and Caucasian Subjects With Elevated LDL-C
ClinicalTrials.gov study NCT01760187. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Study of LL-BMT1 in Patients With Elevated Intraocular Pressure
ClinicalTrials.gov study NCT04747808. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of Bulk Filling Flowable Composite on Caries Recurrence in Deep Marginal Elevation: a Randomized Clinical Trial
ClinicalTrials.gov study NCT06900868. IPD Sharing: Not stated. Countries: 0. Publications: 2.
A Clinical Trial to Evaluate the Safety and Efficacy of ADX-629 in in Subjects With Elevated Ethanol Levels
ClinicalTrials.gov study NCT05487404. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.
Annotated Behaviour and Observability Dataset (ABODe)
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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.