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2,019 results for “boundary”
Dataset for article " Deformation of polycrystalline MgO up to 8.3 GPa and 1270 K: microstructures, dominant slip-systems, and transition to grain boundary sliding"
<p>This archive countains the dataset used to produce the paper "Deformation of polycrystalline MgO up to 8.3 GPa and 1270 K: microstructures, dominant slip-systems, and transition to grain boundary sliding" in press by Frontiers in Earth Science.</p> <p>(c) Estelle Ledoux, Université de Lille, France, 2020</p>
City boundary and urban district boundaries, Vienna, 1920
<p><strong>This data repository</strong> includes geospatial datasets on city and urban district boundaries as well as background data.</p> <p>In detail, the following datasets are included:</p> <ol> <li>City boundary 1920 (CB_1920.shp)</li> <li>Urban district boundaries 1920 (UDB_1920.shp)</li> <li>Background data <ol> <li>Vienna and surroundings map (VSM.tif). Retrieved from <a href="http://wais.wien.gv.at//archive.xhtml?id=Stueck++00000461ma8KartoSlg#Stueck__00000461ma8KartoSlg">Municipal and provincial archives of Vienna</a>. Georeferenced by the authors.</li> <li>Building age map 1920 (BAM.tif). Retrieved from <a href="http://wais.wien.gv.at//archive.xhtml?id=Stueck++A629C2CD-82BD-43FE-B474-D49161ADF381#Stueck__A629C2CD-82BD-43FE-B474-D49161ADF381">Municipal and provincial archives of Vienna</a>. Georeferenced by the authors.</li> <li>City boundary (raw data). Complementary to CB_1920.shp</li> <li>Urban district boundaries (raw data). Complementary to UDB_1920.shp</li> <li>City boundary 2020 (CB_2020.shp). Dataset " Verwaltungsgrenzen (VGD) - Stichtagsdaten Wien" retrieved from Federal Office of Metrology and Surveying via <a href="https://www.data.gv.at">Open Data Österreich</a>. Modified by the authors.</li> </ol> </li> </ol>
Flow-topography interactions in the western tropical Atlantic boundary off Northeast Brazil.
<p>Figures and other media files of the paper Flow-topography interactions in the western tropical Atlantic boundary 2off Northeast Brazil.</p>
Datasets belonging to the paper "Dual phase patterning during a congruent grain boundary phase transition in elemental copper"
<p>This repository contains the raw data of the experimental STEM imaging and the data corresponding to the simulations and theoretical calculations of the paper "Dual phase patterning during a congruent grain boundary phase transition in elemental copper" available under <a href="https://doi.org/10.1038/s41467-022-30922-3">https://doi.org/10.1038/s41467-022-30922-3</a> .</p> <p>See the file README.md for a detailed description.</p>
Dataset for "Universality of grain boundary phases in fcc metals: Case study on high-angle [111] symmetric tilt grain boundaries"
<p>This repository contains the input files, scripts, and raw data of the simulations for the paper "Universality of grain boundary phases in fcc metals: Case study on high-angle [111] symmetric tilt grain boundaries".</p> <p>This data comprises structures of grain boundaries in high-angle [111] symmetric tilt grain boundaries in fcc metals as modeled by various (M)EAM potentials. Investigations include ground state thermodynamic excess properties, excess free energy calculations under stress or strain and with varying temperature, and related molecular dynamics simulations.</p> <p>See README.md for details.</p>
Data and scripts for reproducing "Optimisation and Analysis of Streamwise-Varying Wall-Normal Blowing in a Turbulent Boundary Layer"
<p>This is the accompanying data and Python scripts to reproduce the figures in "Optimisation and Analysis of Streamwise-Varying Wall-Normal Blowing in a Turbulent Boundary Layer", submitted to Flow, Turbulence and Combustion.</p>
Dataset of "Genetically-inspired convective heat transfer enhancement in a turbulent boundary layer"
<p>Dataset of the article "Genetically-inspired convective heat transfer enhancement in a turbulent boundary layer" (<a href="https://doi.org/10.1016/j.applthermaleng.2023.120621">https://doi.org/10.1016/j.applthermaleng.2023.120621</a>). The dataset contains:</p> <p>- the velocity fields, measured with Particle Image Velocimetry, for the case of the boundary layer without actuation, with actuation with a steady jet, and for the best individual obtained after the optimization of the pulsed jet parameters.</p> <p>- the parameters of the individuals generated in the optimization process.</p>
Raw and post-processed data for the study of prosodic cues to word boundaries in a segmentation task using reverse correlation
<p>The current dataset provides all the stimuli (folder <strong>../01-Stimuli/</strong>), raw data (folder <strong>../02-Raw-data/</strong>) and post-processed data (<strong>../03-Post-proc-data/</strong>) used in a prosody reverse correlation study with the title "prosodic cues to word boundaries in a segmentation task using reverse correlation" by the same authors. The listening experiment was implemented using one-interval trials with target words of the structure l'aX (option 1) and la'X (option 2). The experiment was designed and implemented using the <a href="https://github.com/aosses-tue/fastACI">fastACI toolbox</a> under the name 'segmentation'. A between-subject design was used with a total of 47 participants, who evaluated one of five conditions, LAMI (N=16), LAPEL (N=18), LACROCH (N=5), LALARM (N=5), and LAMI_SHIFTED (N=3). More details are given in the related publication (to be submitted to JASA-EL in May 2023).</p>
Dataset for Process design within planetary boundaries: Application to CO2 based methanol production
<p>Dataset for the journal article: Process design within planetary boundaries: Application to CO2 based methanol production</p>
The (in)sensitivity of granular creep to materials and boundaries
<p>Experimental data reported in the publication "The (in)sensitivity of granular creep to materials and boundaries".</p> <p>jupyter notebook codes are included for data analysis and generating figures in the paper.</p> <p>datasets for Kaolinite material and for smooth and rough boundaries</p>
Data for 'Grain boundary segregation and phase separation in ceria-zirconia from atomistic simulation'
<p>Data for the article 'Grain boundary segregation and phase separation in ceria-zirconia from atomistic simulation', including input and output files for simulations, and scripts to perform data analysis and generate figures.</p>
Long Term Ecological Research (LTER) Network Site Boundaries
This is a set of Long Term Ecological Research (LTER) site boundaries preserved as a shapefile. Note that for some sites “real” boundaries are included while others–particularly marine sites–use a simpler bounding box method. Each site is listed both with its three-letter abbreviation and its unabbreviated name. World Geodetic System 1984 (WGS84) is the coordinate reference system used (EPSG:4326). More information about any of the sites can be found on the LTER Site Profiles page on the LTER Network website (https://lternet.edu/site). This data product was made possible by the contributions of the Information Managers for the LTER sites, each of whom contributed their sites' boundaries. This version of the data includes the following changes from the prior version: - Arctic (ARC) updated - Cedar Creek (CDR) updated - Florida Coastal Everglades (FCE) updated - Harvard Forest (HFR) updated - Konza Prairie (KNZ) updated - McMurdo Dry Valleys (MCM) updated - Moorea Coral Reef (MCR) updated
Salinity is diagnostic of maximum potential chlorophyll and phytoplankton community structure in an Eastern Boundary Upwelling System
Coastal upwelling ecosystems associated with strong physical stirring exhibit fine-scale hydrographic and biological patchiness. Though many studies have found broad correlations between hydrographic properties (e.g., temperature and salinity) and phytoplankton biomass, we lack a detailed understanding of the underlying mechanisms and how to diagnose patchy distributions. Here, using observational data from coastal waters in the California Current System, we demonstrate that the maximum observed chlorophyll in a water parcel increases with salinity—a conservative water-mass tracer. This relationship arises from sub-euphotic zone nitrate concentrations, which also increase with salinity. Therefore, we can define maximum potential chlorophyll as a function of salinity and nitrate. We show that variations in salinity explain patterns in phytoplankton community structure and discuss how growth, grazing, and light and micronutrient limitation can generate chlorophyll values below the maximum potential. Our mechanistic explanation provides a novel framework for diagnosing biological patchiness using salinity observations.
Adminstrative boundary, Andrews Experimental Forest, 1997 survey, 2009 update
This database contains the spatial representations for the administrative boundary of the HJ Andrews Experimental Forest. This database was derived from ground based surveys of the Andrews in 1997, based on the Experimental Forest Establishment report. Field personnel determined ridge tops. The original data was updated in 2009 (entity 2) and contains the boundaries of watershed 9, 10. and 11(which are outside Lookout Basin) as updated in 2009, in addition to the Lookout Creek Basin.
Experimental watershed boundaries and gaging station locations, Andrews Experimental Forest, 2011
This dataset contains locations of the HJ Andrews hydrology and watershed studies features including small experimental watersheds, all gaged watersheds, gaging station locations, and watershed boundaries generated from digital elevation models. Data sources are identified within the metadata for each GIS layer.
Caribou Poker Creek Research Watershed GIS Data: Reasearch Area Boundary (NAD83)
This is the perimeter boundary line around the Caribou - Poker Creek Research Watershed that has been packaged into an ArcGIS file. Geospatial_Data_Presentation_Form: vector digital data.
Bonanza Creek Experimental Forest GIS Data: Reasearch Area Boundary (NAD83)
This data package contains the area boundary line for the Bonanza Creek Experimental forest in ArcGIS format. Geospatial_Data_Presentation_Form: vector digital data.
Inventory of soil prokaryotic microbiome (via 16S based on rRNA gene amplicons) in freshwater and brackish water marshes following saltwater intrusion along Shark River Slough boundary, Everglades National Park (FCE LTER), Florida, USA, September 2018
Global sea-level rise is transforming coastal ecosystems, especially freshwater wetlands, in part due to increased episodic or chronic saltwater exposure, leading to shifts in microbial communities and related ecological services. Soil prokaryotes play a fundamental role in regulating important biogeochemical processes in coastal wetland ecosystem. Yet, it is still difficult to predict how soil prokaryotic communities respond to the saltwater exposure because of poorly understood prokaryotic sensitivity within complex wetland soil microbial communities, as well as the high heterogeneity of wetland soils and saltwater exposure. To address this, a four-year experimental simulation of saltwater intrusion in a pristine freshwater site and a previously saltwater-impacted site was conducted. The saltwater addition started in October 2014 on a monthly basis and continued through October 2018. The dataset contains amplicon sequencing date of 16S rRNA gene obtained from saltwater-exposed soils and unmanipulated native soils in both sites (collected in September 2018). The 2018 data are published in Zhao et al. 2023. A detailed list of sequence data and their accession numbers in GenBank is provided, and data collection is complete. This data package is an inventory of sequence read archive (SRA) entries available through GenBank BioProject PRJNA804545 (https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA804545). This data package is associated with the following publication: Zhao, J., Chakrabarti, S., Chambers, R., Weisenhorn, P., Travieso, R., Stumpf, S., Standen, E., Briceno, H., Troxler, T., Gaiser, E., Kominoski, J., Dhillon, B., & Martens-Habbena, W. (2023). Year-around survey and manipulation experiments reveal differential sensitivities of soil prokaryotic and fungal communities to saltwater intrusion in Florida Everglades wetlands. Science of The Total Environment, 858, 159865. https://doi.org/10.1016/j.scitotenv.2022.159865 Instead of citing this package, which is an
White Mountain National Forest Boundary: GIS Shapefile
This dataset contains the White Mountain National Forest Boundary. The boundary was extracted from the National Forest boundaries coverage for the lower 48 states, including Puerto Rico developed by the USDA Forest Service - Geospatial Service and Technology Center. The coverage was projected from decimal degrees to UTM zone 19. This dataset includes administrative unit boundaries, derived primarily from the GSTC SOC data system, comprised of Cartographic Feature Files (CFFs), using ESRI Spatial Data Engine (SDE) and an Oracle database. The data that was available in SOC was extracted on November 10, 1999. Some of the data that had been entered into SOC was outdated, and some national forest boundaries had never been entered for a variety of reasons. The USDA Forest Service, Geospatial Service and Technology Center has edited this data in places where it was questionable or missing, to match the National Forest Inventoried Roadless Area data submitted for the President's Roadless Area Initiative. Data distributed as shapefile in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N.
Hubbard Brook Experimental Forest Watershed Boundaries: GIS Shapefile
Diazo copy of Hubbard Brook Watershed Map generated stereophoto- grammetrically based on May, 1956 aerial photography. Shows New Hampshire state plane coordinate system reference points which were projected into UTM Zone 19 and used as reference tics. The watersheds boundaries were delineated on a paper diazo copy of the Hubbard Brook Watershed Map supplied by Wayne Martin and manually digitized. Data distributed as shapefile in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N
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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.