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74 results for “ramp”
Ramped Pyrolysis Oxidation (RPO) coupled radiocarbon (14C-DOC) and stable carbon (13C-DOC), high-resolution molecular composition (FT-ICR MS), and biodegradable dissolved organic carbon (BDOC) of groundwater, river water, and lagoon water in northeast Alaska, 2017
Supra-permafrost groundwater (SPGW), river water, and lagoon water were sampled near Kaktovik, AK to assess the reactivity and origin of dissolved organic matter (DOM) across interconnected hydrologic systems during late summer. Water samples were collected on August 17th 2017 from SPGW along the beach of Jago Lagoon (Jago GW), surface water from the Jago River’s main channel above tidal influence (Jago R), and from the water column of Kaktovik Lagoon at 2–3 m depth (KA LW). Measurements were made from grab samples for river and lagoon water, and from a composite sample for SPGW gathered from 10 individual shoreline locations. Data include dissolved organic carbon concentration (DOC, mg C L-1), Ramped Pyrolysis Oxidation (RPO) derived fraction compositions of 13C-DOC (δ13C ‰), 14C-DOC (in fraction modern), and method/instrumental error in the 14C and 13C results, and Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR MS) molecular composition and summarized compound classes. Biodegradable DOC (BDOC) bottle experiments were performed using all three sample types, where DOC concentration was subsequently measured at 2, 7, 14, and 28 days. FT-ICR MS composition was subsequently measured at the 28-day timepoint to track changes in molecular formulae and compound class relative abundance following biodegradation. Data from RPO serial thermal oxidation include temperature and normalized CO2 profiles for each background sample. Thermal-oxidation profiles of CO2 were transformed into non-parametric activation energy (E) distributions using an inverse model. Model output includes C mass of oxidized CO2 (µg C), Tmax (K), Emax (kJ mol-1), Emean (kJ mol-1), Estd (kJ mol-1), and p(0,E)max of user-defined sample fractions. FT-ICR MS results include a summary table of the relative abundance of compound classes (e.g., unsaturated phenolic, polyphenolic, aliphatic, condensed aromatics, peptide-like) and elemental groupings (e.g., CHO-type, CHON-type, CHOS-type, CHON
Shock Ramp Compressions Measurements of Iron on the Sandia National Laboratories' Z-Machine
<p>This data contains 1) the apparent velocity data from Velocity Interferometer System for Any Reflector (VISAR) data analyzed using the PointVISAR program for experiments Z3155 and Z3339 and 2) the equation of state results from analyzing the velocity data using a backward integration -- forward Lagrangian analysis.<br> These experiments were performed on the Sandia National Laboratories' Z-Machine, where the iron samples were dynamically compressed via shocked compression to approximately 275 Gpa and further ramp compression to approximately 400 GPa. This covers pressure-temperature regions near the melt line as well as the interior conditions of terrestrial planets.<br> The Z3155 data include four samples, each with two VISAR traces, and the Z3339 data include six samples, each with two or three VISAR traces.<br> The apparent velocity can be corrected to true velocity using the latest lithium fluoride window correction for a 532 nm wavelength.<br> PointVISAR is available as part of the Sandia Matlab AnalysiS Hierarchy (SMASH) toolbox.<br> Details of the backward integration -- forward Lagrangian anaylsis that was used can be found in the related publication.</p> <p>Example data file interpretation: "Z3155_north_panel_bot_sample_01.txt" is the first VISAR trace from the bottom sample of the north panel on experiment Z3155.<br> "Z3155_EoS_combined.txt" is the sample-averaged Equation of State result from experiment Z3155.</p> <p>Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. SAND2020-13961 O</p> <p> </p>
Global Surface Ozone Concentration Dataset 1990-2017 Generated by Bayesian Maximum Entropy Data Fusion With RAMP Bias Correction
<p>This dataset reports estimates of surface ozone concentration at fine spatial resolution for 1990 to 2017, at 0.5 degree horizontal resolution. Also reported is the variance. Estimates correspond to this paper:</p> <p><span>Becker, J. S.</span><span>, DeLang, M. N., K.-L. Chang, M. L. Serre, O. R. Cooper, <u>H. Wang</u>, M. G. Schultz, S. Schroder, X. Lu, L. Zhang, M. Deushi, B. Josse, C. A. Keller, J.-F. Lamarque, M. Lin, J. Liu, V. Marecal, S. A. Strode, K. Sudo, S. Tilmes, L. Zhang, M. Brauer, and <span>J. J. West</span> (2023) Using Regionalized Air Quality Model Performance and Bayesian Maximum Entropy data fusion to map global surface ozone concentration, <em>Elementa Science of the Anthropocene</em>, 11: 1, doi: 10.1525/elementa.2022.00025.</span></p> <p>The dataset reports estimates of surface ozone for the OSDMA8 metric (the 6-month ozone-season average of the daily maximum 8-hr concentration), estimated through a data fusion of ozone observations from the Tropospheric Ozone Assessment Report (TOAR) database, and output from multiple global atmospheric models. Estimates are created in each year by a combination of M3Fusion to create a multi-model composite, Regional Air Quality Model Performance (RAMP) regional and nonlinear bias correction, and Bayesian Maximum Entropy (BME) data fusion in space and time. The estimates here are the final results using a weighted RAMP bias correction. </p>
Text-fig. 3. Patelliconus primulus (BARRANDE in PERNER, 1903). Specimen NM L 39616, internal mould. A – apical view, B – oblique left posterolateral view, both ×......; C – right posterolateral view showing the second and third successive positions of muscle band (arrowed), located on top of each elevation (= in the deepest place of the wide depression of shell interior at the periphery of a flat ramp), ×....... Šárka F., Volduchy – Díly near Rokycany. in Patelliconus Horný, 1961 And Mytoconula Gen. N. (Mollusca, Tergomya) From The Ordovician Of Perunica
Text-fig. 3. Patelliconus primulus (BARRANDE in PERNER, 1903). Specimen NM L 39616, internal mould. A – apical view, B – oblique left posterolateral view, both ×......; C – right posterolateral view showing the second and third successive positions of muscle band (arrowed), located on top of each elevation (= in the deepest place of the wide depression of shell interior at the periphery of a flat ramp), ×....... Šárka F., Volduchy – Díly near Rokycany.
Repository Analytics and Metrics Portal (RAMP) 2021 data
<p>The Repository Analytics and Metrics Portal (RAMP) is a web service that aggregates use and performance use data of institutional repositories. The data are a subset of data from RAMP, the Repository Analytics and Metrics Portal (<a href="http://ramp.montana.edu/">http://rampanalytics.org</a>), consisting of data from all participating repositories for the calendar year 2021. For a description of the data collection, processing, and output methods, please see the "methods" section below.</p> <p>The record will be revised periodically to make new data available through the remainder of 2021.</p>
Dynamic and membrane DAC ramp dataset storage, raw and azimuthal integrated as xy.files.
<p>The datasets are part of a project exploring the onset of phase transitions, the development of microstrain and the lattice parameters during fast compression rates, resembling those during e.g. propagation seismic shockwaves and large body impacts. The strain rate conditions achieved in our experiments are between those reached in the common static (DAC) and shock experiments.</p> <p><br> The current datasets contain a selected set of xy.files of azimuthal integrated 2D-diffraction images of either Mg0.2Fe0.8O sample or Fe (Iron) - with and without Pt (platinum) pressure marker and with and without Ne (Neon) pressure transmitting medium (PTM).<br> Diffraction images were collected at ambient temperature (in 2019 and 2020) at the ECB P02.2 Beamline, PETRA III, DESY, Germany using the piezo-driven dynamic diamond anvil cells (dDAC) in combination with fast LAMBDA GaAs 2M detectors at 25.6 keV (0.4843 Å).<br> <br> The datasets are provided as test datasets for machine learning application on spectra classification.<br> The version will be further updated once the whole work has been published and the full datasets can be made available.<br> Please find below the link towards the machine learning application.</p> <p><a href="https://github.com/European-XFEL-examples/panosc-ml-spectra-classification">https://github.com/European-XFEL-examples/panosc-ml-spectra-classification</a></p>
Ramp-Flat and Splay Faulting Illuminated by Frictional Afterslip Following the 2017 Mw 7.3 Sarpol-e Zahab Earthquake
<p>The postseismic InSAR data used in the manuscript "Frictional Afterslip along a Complex Fault Structure Following the 2017 Mw 7.3 Sarpol-e Zahab Earthquake Revealed by InSAR and 2-D Finite Element Models".</p>
Repository Analytics and Metrics Portal (RAMP) 2021 data
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Repository Analytics and Metrics Portal (RAMP) 2020 data
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PV penetration vs. (i) Peak reduction, (ii) Ramps increase and (iii) Excess energy
<p>Dataset used for the work described in "An Instrumental Contribution to Include the Impact of PV on Capacity Adequacy in Long-Term Energy Models", for the EEEIC (2017) conference.</p>
Coseismic folding during ramp failure at the front of the Sulaiman fold-and-thrust belt
<p>It contains the datasets related to "Coseismic folding during ramp failure at the front of the Sulaiman fold-and-thrust belt".</p>
Data Repository for Peatland Organic Matter Quality Varies with Latitude as Confirmed from FTIR and Ramped Pyrolysis Oxidation
<p><strong>Data information:</strong></p> <p>This is the dataset for a study by Sparrow et al. comparing the organic matter quality of peat cores in four climates (tropical, subtropical, boreal, and polar) using multiple analytical approaches. Data for 16 samples (samples from 4 depths in each of the 4 cores) are presented in the study and all relevant and necessary data are published in this repository:</p> <ul> <li>14C content and d13C results for 1) bulk and 2) ramped pyrolysis oxidation splits and standard materials</li> <li>Elemental analysis results (%C, %N, C:N)</li> <li>FTIR spectra from 650-4000 cm-1</li> <li>Ramped pyrolysis oxidation run data (time, sample oven temperature, baseline-corrected CO2 concentration)</li> </ul> <p><strong>Sample information:</strong></p> <ul> <li>The Tropical peat samples were collected from a core obtained in November 2011, “MDM11-2A,” (4.3727°N, 114.3550°E) in the Ulu Mendaram Conservation Area in the Belait District of Brunei Darussalem, northwest Borneo.</li> <li>The Subtropical peat samples were collected from the “Lox3” core (26.597°N, 80.357°W) in October 2015 from the Loxahatchee National Wildlife Refuge, Florida.</li> <li>The Boreal peat samples were collected from the “T3F” core (47.5063°N, 93.4527°W) from S1 Bog in July 2012 from the Marcell Experimental Forest, near Grand Rapids, Minnesota.</li> <li>The Polar peat samples were collected from the “CPP” core (68.3531°N, 19.0473°E) in June 2012 from Stordalen Mire, a peat plateau underlain by discontinuous permafrost near Abisko, Sweden.</li> </ul>
Repository Analytics and Metrics Portal (RAMP) 2018 data
<p>The Repository Analytics and Metrics Portal (RAMP) is a web service that aggregates use and performance use data of institutional repositories. The data are a subset of data from RAMP, the Repository Analytics and Metrics Portal (<a href="http://ramp.montana.edu/">http://rampanalytics.org</a>), consisting of data from all participating repositories for the calendar year 2018. For a description of the data collection, processing, and output methods, please see the "methods" section below. Note that the RAMP data model changed in August, 2018 and two sets of documentation are provided to describe data collection and processing before and after the change.</p>
Repository Analytics and Metrics Portal (RAMP) 2017 data
<p>The Repository Analytics and Metrics Portal (RAMP) is a web service that aggregates use and performance use data of institutional repositories. The data are a subset of data from RAMP, the Repository Analytics and Metrics Portal (<a href="http://ramp.montana.edu/">http://rampanalytics.org</a>), consisting of data from all participating repositories for the calendar year 2017. For a description of the data collection, processing, and output methods, please see the "methods" section below.</p>
Repository Analytics and Metrics Portal (RAMP) Production Snapshot Dataset, 2018-11-01
<p>The data are publicly available via Globus: <a href="https://app.globus.org/file-manager?origin_id=a40be90c-f8c2-11e8-9340-0e3d676669f4&origin_path=%2F">https://app.globus.org/file-manager?origin_id=a40be90c-f8c2-11e8-9340-0e3d676669f4&origin_path=%2F</a></p> <p>The data consist of a snapshot of the production RAMP Elasticsearch instance [http://ramp.montana.edu/](http://ramp.montana.edu/). The snapshot was taken on November 1, 2018, and consists of 51 indices (one index each for 50 participating institutional repositories (IR) plus one master index or alias that provides computational access to all indices at once). In addition to the snapshot itself, the published dataset includes documentation describing data collection and processing, separate documentation of the requirements and steps to restore the snapshot to a working instance of Elasticsearch, a CSV file listing participating IR and their corresponding Elasticsearch index names, and a Jupyter Notebook with sample Python code for accessing Elasticsearch.</p> <p>The snapshot ID needed to restore the snapshot to a working index is '2018-11-01.' Please see the included file, 'restore_RAMP_snapshots.pdf' for more info.</p> <p>Because of the large file size, download via high speed network is recommended.</p> <p>RAMP development was funded by the Institute of Museum and Library Services (IMLS) as part of the "Measuring Up" project: IMLS: LG-06-14-0090<br> </p>
Great Eastern Launch Ramp Foreshore
The remains of part of the launch ramp of Brunel's SS Great Eastern on the Isle Of Dogs, London. These remains are on the Thames foreshore and only viewable at low tide. They line up with the preservered remains in the park above. https://www.historic-uk.com/HistoryMagazine/DestinationsUK/SS-Great-Easterns-Launch-Ramp/ Date: 1850s Photos taken in May 2019 with a Sony a6000 and processed in Agisoft Metashape. Photos were taken from the embankment above (north) with a monopod and also from the pier of Masthouse Terrace to the west. Source: Objaverse 1.0 / Sketchfab
Millwall Skate Ramp Arch
A grafitti covered railway arch over the cycle path just south of the east end of Silwood Street, Millwall, London. The arch contains two little improvised skateboard ramps. 488 photos taken in February 2022 with a Sony a7R III and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Probability Ramp Control of Propofol for EGD
ClinicalTrials.gov study NCT01838304. IPD Sharing: NO. Countries: 1. Publications: 1.
Repository Analytics and Metrics Portal (RAMP) 2019 data
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Repository Analytics and Metrics Portal (RAMP) 2018 data
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OpenNeuro
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