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395 results for “homogenization”
Homogenized, gap-filled, daily air temperature data for Saddle, 1986 - ongoing.
As part of its long-term climate data core collection, the Niwot Ridge LTER has collected daily air temperature at the Saddle site since 1981. The Saddle station is located at 3525 m.a.s.l. and is an important point location to capture local, ambient meteorological conditions for many biological and environmental datasets collected nearby. The location of the Saddle station has also presented challenges to its operation. Freezing temperatures, snow deposition from strong winds following storms, and exposure to lightning are some elements that have disrupted instrument functionality, affected data quality, and made access for research staff difficult over time, especially in winter months. These interruptions have led to missing or faulty data at times and inconsistent data gap-filling. Additionally, a mixture of mechanical hygrothermograph chart and temperature sensors with electronic data loggers have been used since the inception of the Saddle station to measure and record air temperature. Thus, a close inspection of potential influence from instrument turnover and relevant notes from research staff is required for a quality, daily air temperature time series for Saddle. Here we present a quality-controlled, gap-filled, daily time series of maximum, average, minimum, and diurnal air temperatures that accounts for instrument turnover at the Saddle. Methods follow those used to gap-fill long-term daily air temperature at the Niwot Ridge LTER D1 and C1 stations so there is consistency among core collection daily air temperature datasets. Metadata for this data package centralizes the most complete station history for Saddle air temperature and includes notes to data users on aspects and limitations of the dataset to consider when using these data in scientific analyses.
HomogWS-se: A century-long homogenized dataset of near-surface wind speed observations since 1925 rescued in Sweden
<p>Creating a century-long homogenized near-surface wind speed (WS) observation dataset is essential to improve our knowledge about the uncertainty and causes of WS stilling and recovery. We rescued paper-based WS records dating back to the 1920s at 13 stations in Sweden and established a four-step homogenization procedure to generate the first 10-member centennial homogenized WS dataset (HomogWS-se) for community uses among climatology, ecology, hydrology and energy industry. HomogWS-se can be used to study the WS variability and change, assess climate reanalysis, and constrain climate simulations for better future projection of changes in the WS and wind energy potential. HomogWS-se contains 13 individual text files with 10-member century-long homogenized monthly WS series, as well as the member-mean series.</p>
Scanning electron microscope images of spruce needle homogenate and scanning electron microscope images of isolated small cellular particles from spruce needle homogenate
<p>Scanning electron microscope images of spruce needle homogenate and of isolated small cellular particles from spruce needle homogenate are presented. Each image is supplemented by description of the preparation of the sample and the data on the imaging technique and equipment. The data are curated by Veronika Kralj-Iglic and University of Ljubljana, Faculty of Health Sciences, Laboratory of Clinical Biophysics, and Anna Romolo, presently at University of Ljubljana, Faculty of Electrical Engineering, Laboratory of Physics, Ljubljana, Slovenia. Present address of Marko Jeran is: Department of Inorganic Chemistry and Technology, “Jožef Stefan” Institute, Ljubljana, Slovenia.</p>
The homogenized glacier inventories for South Tirol 1997-2005-2017
<p>Data set of three homogenized glacier inventories for the Autonomous Province of Bolzano - South Tyrol for the reference years 1997, 2005 and 2017 in ESRI-shapefile format. The shapefiles are supplemented by a MS-excel file containing analyses of glacier changes between the single inventories and a detailed technical report describing the inventories and the underlying data and methods.<br> The inventories were compiled based on orthophoto and airborne laser-scanning data using a homogenized methodology to enable for direct comparisons between the single inventories. Besides the vectorized glacier outlines and several identifiers (glacier names and WGMS/CGI codes), the inventories provide information on typical topographic parameters such as glacier area, min max and median altitude, main aspect, slope and geographic location.</p>
Data Set for the Journal Article "Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis"
<p>This dataset includes the XYZ structures of the centroids of all compounds found. Charge and multiplicity are given in the comment line of each XYZ file.</p>
Homisland-IO: a homogeneous land cover over the small islands of the southwest Indian Ocean
<p>This dataset is a landcover product, called Homisland-IO<strong>,</strong> based on the analysis of high spatial resolution images acquired by the SPOT 5 satellite between December 2012 and July 2014 and produced at the SEAS-OI Station. We used an object-based image analysis method to identify the 11 major classes of land cover / land use of these tropical islands. This methodology together with a good knowledge of the field has enabled us to achieve an overall accuracy of 86%, making it an operational product. Homisland-IO is<strong> </strong>freely accessible through a web portal and thus available for future uses.</p>
Lookup tables for H2SO4-H2O binary and H2SO4-H2O-NH3 ternary homogeneous and ion-mediated nucleation
<p>2019/10/10</p> <p>This directory contains fortran code and lookup tables for calculating<br> nucleation rate for the following four nucleation mechanims:<br> 1. H2SO4-H2O binary homogenous nucleation (BHN),<br> 2. H2SO4-H2O-NH3 ternary homogeneous nucleation (THN),<br> 3. H2SO4-H2O-Ions binary ion-mediated nucleation (BIMN), and<br> 4. H2SO4-H2O-NH3-Ions ternary ion-mediated nucleation (TIMN)</p> <p>References:</p> <p>1. Yu, F., Nadykto, A. B., Herb, J., Luo, G., Nazarenko, K. M., and<br> Uvarova, L. A.: H2SO4-H2O-NH3 ternary ion-mediated nucleation (BHN):<br> Kinetic-based model and comparison with CLOUD measurements, Atmos.<br> Chem. Phys.,18, 17451-17474,<br> https://doi.org/10.5194/acp-18-17451-2018, 2018.<br> 2. Yu, F., Nadykto, A. B., Herb, and J., Luo, H2SO4-H2O binary and<br> H2SO4-H2O-NH3 ternary homogeneous and ion-mediated nucleation: Lookup tables,<br> in review, GMD, 2019.</p> <p><br> Files included in the package:</p> <p>YBHN/: BHN code and lookup table<br> YTHN/: THN code and lookup table<br> YBIMN/: BIMN code and lookup table<br> YTIMN/: TIMN code and lookup table</p> <p>nucl_XXX_mod.f (XXX = BHN, THN, BIMN, TIMN): Stand alone module for XXX rate calculation.</p> <p>mainXXX.f: Test program to demonstrate how the lookup table is used.</p> <p>inputXXX.dat: Example input data for testing the code and lookup table.<br> outputXXX.dat: Example output after running the test code</p> <p>Use "f95 *.f" to compile and get executable program a.out</p> <p>To run the test program:</p> <p>>a.out</p> <p>For your reference, output of running the program on my workstation has been saved to outputXXX.dat.</p> <p>I hope that the comments provided in the subroutines make<br> the code self-explanatory. Contact me if you have questions.</p> <p>Enjoy and have fun!</p> <p>Fangqun Yu<br> SUNY-Albany<br> (fyu@albany.edu)</p>
Dataset and code for "Adjoint-aided homogenization for flows through heterogeneous membranes"
<p>This dataset and code support the manuscript 'Adjoint-aided homogenization for flows through heterogeneous membranes' by Kevin Wittkowski, Edouard Boujo, François Gallaire and Giuseppe A. Zampogna, under revision in the <em>Journal of Fluid Mechanics</em>, 2024. The data are Stokes flow simulations around an elliptical solid inclusion with periodic boundary conditions. Direct computations of the average flow quantities for several geometry parameters are compared with shape-sensitivity-based predictions obtained by solving a set of direct and adjoint equations around a circular solid inclusion. Please refer to the manuscript for further details.</p> <p><strong>Contents:</strong></p> <ul> <li><em>comsol_code/Mnn.mph, Mtt.mph:</em> COMSOL Multiphysics 6.0 codes used to generate the datasets;</li> <li><em>README.txt</em>: a .txt file describing the code usage;</li> <li><em>Mnn.txt,Mtt.txt</em>: dataset of the direct evaluations of these two average microscopic quantities, input of the .m files;</li> <li><em>S1_Mnn.txt, S2_Mnn.txt, S1_Mtt.txt, S2_Mtt.txt</em>: dataset containing the first and second order shape sensitivities computed on the reference circular geometry, input of the .m files;</li> <li><em>Mnn.m,Mtt.m:</em> MatLab code used to compare the direct evaluations and adjoint predictions of the microscopic quantities;</li> <li><em>ellipse.m</em>: Matlab function to generate the elliptical deformation;</li> <li><em>.fig</em> files: Matlab figures, output of the .m files. They are used to compare the direct evaluation with the prediction based on the adjoint computations.</li> </ul>
2D materials-based homogeneous transistor-memory architecture for neuromorphic hardware
<p>This dataset contains the raw data used for the publication:</p> <p><strong>2D materials-based homogeneous transistor-memory architecture for neuromorphic hardware</strong></p> <p>By Lei Tong<sup>1</sup>, Zhuiri Peng<sup>1</sup>, Runfeng Lin<sup>1</sup>, Zheng Li<sup>1</sup>, Yilun Wang<sup>1</sup>, Xinyu Huang<sup>1</sup>, Kan-Hao Xue<sup>1</sup>, Hangyu Xu<sup>2</sup>, Feng Liu<sup>3</sup>, Hui Xia<sup>2</sup>, Peng Wang<sup>2</sup>, Mingsheng Xu<sup>4</sup>, Wei Xiong<sup>1</sup>, Weida Hu<sup>2,</sup>*, Jianbin Xu<sup>5</sup>, Xinliang Zhang<sup>1</sup>, Lei Ye<sup>1,</sup>*, Xiangshui Miao<sup>1</sup></p> <p>Detailed descriptions for each file can be found in "Dataset description.docx".</p>
Recovery of Lithium Carbonate from Dilute Li-Rich Brine via Homogenous and Heterogeneous Precipitation
<p>An extensive experimental campaign on Li recovery<br> from relatively dilute LiCl solutions (i.e., Li+ ∼ 4000 ppm) is<br> presented to identify the best operating conditions for a Li2CO3<br> crystallization unit. Lithium is currently mainly produced via solar<br> evaporation, purification, and precipitation from highly concentrated<br> Li brines located in a few world areas. The process requires<br> large surfaces and long times (18−24 months) to concentrate Li+<br> up to 20,000 ppm. The present work investigates two separation<br> routes to extract Li+ from synthetic solutions, mimicking those<br> obtained from low-content Li+ sources through selective Li+<br> separation and further concentration steps: (i) addition of<br> Na2CO3 solution and (ii) addition of NaOH solution + CO2<br> insufflation. A Li recovery up to 80% and purities up to 99% at 80<br> °C and with high-ionic strength solutions was achieved employing NaOH solution + CO2 insufflation and an ethanol washing step.</p>
Friction extrusion processing of aluminum powders: microstructure homogeneity and mechanical properties
<p>This dataset contains the data from the publication</p> <p><strong>"Friction extrusion processing of aluminum powders: microstructure homogeneity and mechanical properties"</strong></p> <p> </p> <p> </p>
Homogenized catalog of Black Sea earthquakes from 1905 to 2022 up to 40 km depth
<p>The data homogenized catalog of 54,647 earthquakes from 1905 to 2022 for the Black Sea region up to 40 km depth is published in CSV format.</p> <p>More details in the paper: Oynakov et al., 2023, Compilation of regional homogeneous seismic catalog for identification of tsunamigenic zones in the Black Sea region, <em>Geosciences</em>.</p>
Kinetics assessment of the homogeneously catalyzed hydroformylation of ethylene on a Rh-catalyst
<p>Supplementary Information. Section S1, description of dependence of rate and equilibrium coefficients on selected standard state, reaction entropies of reaction steps at different standard states, and derivation of rate equations; Section S2, experimental conditions of data sets selected for model regression and model validation; Section S3, calculation of enthalpies and entropies of solvation explained in more detail and obtained values; and Section S4, calculation of entropies of coordination explained in detail and resulting values</p>
Data for: Microstructure evolution and texture development during production of homogeneous fine-grained aluminum wire by friction extrusion
<p>This dataset contains the data for paper “Microstructure evolution and texture development during production of homogeneous fine-grained aluminum wire by friction extrusion” published in Materials Characterization.</p> <p>Abstract: This study aims to understand the microstructure evolution and texture development during friction extrusion of aluminium alloys, focusing on AA7075 as exemplary alloy system. Electron backscatter diffraction technique has been employed to obtain crystallographic data from various regions in front of the die and in the wire. It can be deduced that the combination of continuous dynamic recrystallization and geometric dynamic recrystallization mainly govern the formation of a fine-grained structure, however discontinuous dynamic recrystallization may also play a role at high temperature. The global shear deformation during the process was characterized as a simple shear deformation with dominant <span class="math-tex">\(B/\overline{B}\)</span> simple shear texture components. The material flow is mainly driven by the in-plane shear strain and the extrusion-induced shear strain that are determined by die rotational speed and extrusion force, respectively. The in-plane shear strain strongly affects the formation of a homogeneous fine-grained microstructure in the aluminum wire. In this regard, a novel material flow model for friction extrusion has been proposed.</p>
Projected climate and canopy change lead to thermophilization and homogenization of forest floor vegetation in a hotspot of plant species richness, Berchtesgaden National Park, Bavaria, Germany
Mountain forests are plant diversity hotspots, but changing climate and increasing forest disturbances will likely lead to far-reaching plant community change. Projecting future change, however, is challenging for forest understory plants, which respond to forest structure and composition as well as climate. Here, we jointly assessed effects of both climate and forest change, including wind and bark beetle disturbances, using the process-based simulation model iLand in a protected landscape in the northern Alps (Berchtesgaden National Park, Germany), asking: (1) How do understory plant communities respond to 21st-century change in a topographically complex mountain landscape, representing a hotspot of plant species richness? (2) How important are climatic changes (i.e., direct climate effects) versus forest structure and composition changes (i.e., indirect climate effects and recovery from past land use) in driving understory responses at landscape scales? Stacked individual species distribution models fit with climate, forest, and soil predictors (248 species currently present in the landscape, derived from 150 field plots stratified by elevation and forest development, overall AUC = 0.86) were driven with projected climate (RCP4.5 and RCP8.5) and modeled forest variables to predict plant community change. Nearly all species persisted in the landscape in 2050, but on average 8% of the species pool was lost by the end of the century. By 2100, landscape mean species richness and understory cover declined (-13% and -8%, respectively), warm-adapted species increasingly dominated plant communities (i.e., thermophilization, +12%), and plot-level turnover was high (62%). Subalpine forests experienced the greatest richness declines (-16%), most thermophilization (+17%), and highest turnover (67%), resulting in plant community homogenization across elevation zones. Climate rather than forest change was the dominant driver of understory responses. The magnitude of unabated 2
Homogeneous multifocal excitation for high-throughput super-resolution imaging - Expanded centriole particles
<p>Datasets containing the segmented expanded centriole particles. The prefix Hs is used to denote particles acquired in synchronized RPE-1 human cells. Otherwise particles were collected from expanded isolated centrioles from <em>Chlamydomoanas reinhardtii</em>. Resized datasets have uniform voxel size of 14x14x14 nm3 after expansion (56x56x56 nm3 before expansion). Non-resized datasets have 14x14x30 pixel size (56x56x120 nm3 before expansion). All files should be mirrored horizontally/vertically to account for the chirality inversion due to the imaging process</p> <p>The channels in different datasets are:</p> <ul> <li>Chlamy acetylated sample: <ul> <li>C1: acetylated tubulin-Alexa488</li> <li>C2: aTubulin-Alexa568</li> </ul> </li> <li>Chlamy MonoE sample <ul> <li>C1: aTubulin-Alexa488</li> <li>C2: GT335-Alexa568</li> </ul> </li> <li>Chlamy PolyE sample <ul> <li>C1: PolyE-Alexa488</li> <li>C2: aTubulin-Alexa568</li> </ul> </li> <li>Hs sample: <ul> <li>C1: PolyE-Alexa488</li> <li>C2: acetylated tubulin-Alexa586</li> </ul> </li> </ul>
DNA metabarcoding and spatial modelling link diet diversification with distribution homogeneity in European bats
<p>Inferences of the interactions between species’ ecological niches and spatial distribution have been historically based on simple metrics such as low-resolution dietary breadth and range size, which might have impeded the identification of meaningful links between niche features and spatial patterns. We analysed the relationship between dietary niche breadth and spatial distribution features of European bats, by combining continent-wide DNA metabarcoding of faecal samples with species distribution modelling. Our results show that while range size is not correlated with dietary features of bats, the homogeneity of the spatial distribution of species exhibits a strong correlation with dietary breadth. We also found that dietary breadth is correlated with bats’ hunting flexibility. However, these two patterns only stand when the phylogenetic relations between prey are accounted for when measuring dietary breadth. Our results suggest that the capacity to exploit different prey types enables species to thrive in more distinct environments and therefore exhibit more homogeneous distributions within their ranges.</p>
Homogeneity Measurements in an Aerosol Mixing Chamber
<p>The published excel files contain the experimental data presented in the master thesis of Andrea Giordano entitled "CFD Simulation of an Aerosol Mixing Chamber"</p> <p>available at https://infoscience.epfl.ch/record/280815?ln=en</p> <p>The data are presented in the thesis figs. 33 to 36</p> <p>The nomenclature is as follows (details see in the thesis)</p> <p>Lenght:<br> normal: standard lenght of mixing tube 0.75 m<br> short: shortened version of the mixing tube 0.57 m<br> shortest: further shortened version of the mixing tube 0.35 m</p> <p>Flow Rates:<br> 4020: 40 lpm from top, 20 lpm through mixing jets, standard<br> half: 20 lpm from top, 10 lpm through mixing jets<br> one to one: 10 lpm from top, 10 lpm through mixing jets jets</p> <p>Material:<br> salt: atomized from solution; geo. mean of particles app. 80 nm<br> dust: Arizon A2 test dust, geo. mean of particles app. 400 nm<br> 1micr. PSL: certified PSL particles monodosperse, diamter 900 nm </p> <p>Each files contains a sheet with the results and a sheet with the CPC raw data</p>
CAM4 Homogenous Radiation 2D Fields
<p>Single-level fields from the homogenous radiation simulations included in section 6 of the JGR manuscript Needham and Randall (2021). The simulation referred to as "Control" in the manuscript has the case name "QPC4_300k_radavg-ctrl" in this repository and includes no changes from the standard CAM4 physics. The simulation refered to as "RadAvg" in the manuscript has the case name "QPC4_300k_radavg-hmg" in this repository. The only change from Control for this case is that the GCM temperature is updated using the globally averaged net radiative heating rate.</p>
Temperature-driven homogenization of an ant community over 60 years in a montane ecosystem
<p>Identifying the mechanisms underlying the changes in the distribution of species is critical to accurately predict how species have and will respond to climate change. Here, we take advantage of a late-1950s study on ant assemblages in a canyon near Boulder, Colorado, USA to understand how and why species distributions have changed over a 60-year period. Community composition changed over 60 years with increasing compositional similarity among ant assemblages. Community composition differed significantly between the time periods, with aspect and tree cover influencing composition. Species that foraged in broader temperature ranges became more widespread over the 60-yr period. Our work highlights that shifts in community composition and biotic homogenization can occur even in undisturbed areas without strong habitat degradation. We also show the power of pairing historical and contemporary data and encourage more mechanistic studies to predict species changes under climate change.</p>
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.