cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.2951263.v402
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2077417.v4
title: Fileset coLAB Debates Eleitorais 2014

description: Fileset de imagens de memes coletados do Twitter, por meio do aplicativo Twicsy, durante os debates eleitorais presidenciais exibidos pelas principais emissoras de televisão do Brasil em 2014.
DOI: 10.6084/m9.figshare.2077417.v3
title: Fileset coLAB Debates Eleitorais 2014

description: Fileset de imagens de memes coletados do Twitter, por meio do aplicativo Twicsy, durante os debates eleitorais presidenciais exibidos pelas principais emissoras de televisão do Brasil em 2014.
DOI: 10.6084/m9.figshare.2951263.v403
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v404
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2076553
title: Introduction to SOPS Symposium

description: Introduction to 6th Annual SOPS Research Symposium, University of Illinois, Urbana-Champaign.
DOI: 10.6084/m9.figshare.2076907
title: NULL 1

description: NULL !<br>
DOI: 10.6084/m9.figshare.2076406
title: Medtronic_data_set_PLOS_one.xlsx

description: Original data for Manuscript Continuous glucose monitoring in patients undergoing extracorporeal ventricular assist therapy
DOI: 10.6084/m9.figshare.2951263.v405
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2076406.v1
title: Medtronic_data_set_PLOS_one.xlsx

description: Original data for Manuscript Continuous glucose monitoring in patients undergoing extracorporeal ventricular assist therapy
DOI: 10.6084/m9.figshare.2076553.v2
title: Introduction to SOPS Symposium

description: Introduction to 6th Annual SOPS Research Symposium, University of Illinois, Urbana-Champaign.
DOI: 10.6084/m9.figshare.2076907.v2
title: NULL 1

description: NULL !<br>
DOI: 10.6084/m9.figshare.2076280
title: PlosOne - Additional Material .xlsx

description: Cytokines
DOI: 10.6084/m9.figshare.2076907.v1
title: R Syntax for the "Exploring and Predicting 4th Grade NAEP Reading Achievement from Social Background Variables, 2005 to 2013"

description: R Syntax for the "Exploring and Predicting 4th Grade NAEP Reading Achievement from Social Background Variables, 2005 to 2013"
DOI: 10.6084/m9.figshare.2076280.v1
title: PlosOne - Additional Material .xlsx

description: Cytokines
DOI: 10.6084/m9.figshare.2076553.v1
title: Introduction to SOPS Symposium

description: Introduction to 6th Annual SOPS Research Symposium, University of Illinois, Urbana-Champaign.
DOI: 10.6084/m9.figshare.2951263.v406
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2076223
title: Supplement – Body size increases with elevation

description: Supplemental tables and figure associated with the Copeia publication "Effects of elevation on plethodontid salamander body size"
DOI: 10.6084/m9.figshare.2951263.v407
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2076223.v1
title: Supplement – Body size increases with elevation

description: Supplemental tables and figure associated with the Copeia publication "Effects of elevation on plethodontid salamander body size"
DOI: 10.6084/m9.figshare.2076229.v1
title: Proyecto de Integración de Competencias de Información al Currículo, Facultad de Administración de Empresas, Universidad de Puerto Rico, Recinto de Río Piedras

description: Poster presentado en la actividad anual de la Sociedad de Bibliotecarios de Puerto Rico, 23 de mayo de 2008.<br><br>Presented in Sociedad de Bibliotecarios de Puerto Rico annuan activity, on May 23, 2008, at Universidad Metropolitana, Río Piedtas, Puerto Rico.<br>
DOI: 10.6084/m9.figshare.2951263.v408
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v409
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2075872
title: CROP MOISTURE CONTENT MONITORING USING SATELLITE DATA

description: In Ukraine in recent decades, the rate of temperature increase is significantly higher than the average planetary indicators, which leads to increased risk of droughts. To mitigate the effects of drought the early detection and monitoring of moisture agricultural crops is necessary. The traditional methods of determining the moisture crops content use ground-based meteorological research data. One of the main problems of traditional methods is the discrete network of agrometeorological stations, which makes it impossible to receive actual information in space and time. To solve this problem at various administrative levels it should be used not only traditional but also space observation. The development of advanced remote sensing satellite systems, application software for digital image processing and GIS facilitate operational obtaining reliable information about crop moisture provision. Relevance of research is caused by necessity of improvement of the traditional monitoring system of agricultural landscapes in changing climate conditions, including diagnosis of such crises as droughts and operational information providing for business entities. <b><i>The aim of the article</i></b><i> </i>is to determine the relationship between the crops spectral characteristics of and crop moisture content and also merging of in situ and satellite data in enhancement of estimation of moisture provision of agricultural crops. The method of determining of the crop moisture content is based on the integrated use of satellite data of different spatial differentiation and in-situ ground data. There were used satellite observations data of low spatial resolution – radiometer MODIS (satellite Terra i Aqua, 250 m, 500 m), Proba-V (100-300 m), medium spatial resolution – Landsat (30 m, 60 m) and high spatial resolution (satellites Sich-2, 8 m and RapidEye, 5 m). During the work the effectiveness of modern satellite remote sensing systems for rapid assessment of moisture agrophytocenoses was proved. To determine the agrophytocenosis moisture content at the local level it was proved the possibility of replacement of satellite imagery of high spatial resolution (RapidEye, SICH-2), on medium spatial resolution (Landsat, MODIS/Terra, Proba-V), which are freely available. The relations between the moisture content of winter wheat plants and spectral indices were found based on the results of experimental field research. The mathematical models to determine the plant moisture content by given indices were developed. The maps of the moisture content in winter wheat plants in test sites by obtained models were constructed using modern GIS technology.
DOI: 10.6084/m9.figshare.2951263.v410
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v411
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v412
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2075587
title: Direct correlation functions for three-site and four-site water models

description: Direct correlation functions (DCFs) play a pivotal role in modern liquid-state theories and are virtually indispensable for non-mean-field implementation of the classical density functional theory (cDFT). Whereas analytical expressions have been derived for the DCFs of simple fluids and electrolytes, DCFs for molecular systems are attainable only through numerical solution of the integral-equation theories in combination with molecular simulation or an approximate closure. Unlike radial distribution functions, DCFs reflect the variational of the local chemical potential of individual atoms/interaction sites with the density-profile fluctuations, which are difficult to be sampled from the simulation trajectory. This article presents an improved numerical procedure to calculate the DCFs of three-site (SPC/E and TIP3P) and four-site (TIP4P-Ew) water models based on the reference interaction site model and molecular dynamics simulations. In combination with the modified fundamental measure theory for the bridge functionals, the DCFs have been utilised to predict the hydration free energies of 504 small organic molecules. The theoretical predictions yield an average unsigned error of 0.66 kcal/mol in comparison with the simulation data, better than that (∼1 kcal/mol) reported in previous cDFT calculations.
DOI: 10.6084/m9.figshare.2951263.v413
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2075584
title: Inbreeding depression in red deer

description: Individual and annual data on various life history traits in red deer (<i>Cervus elaphus</i>), and genomic and pedigree based inbreeding coefficients. See `Data_description.txt' for details.<br>Please contact the authors if you plan to use this data.
DOI: 10.6084/m9.figshare.2075587.v1
title: Direct correlation functions for three-site and four-site water models

description: Direct correlation functions (DCFs) play a pivotal role in modern liquid-state theories and are virtually indispensable for non-mean-field implementation of the classical density functional theory (cDFT). Whereas analytical expressions have been derived for the DCFs of simple fluids and electrolytes, DCFs for molecular systems are attainable only through numerical solution of the integral-equation theories in combination with molecular simulation or an approximate closure. Unlike radial distribution functions, DCFs reflect the variational of the local chemical potential of individual atoms/interaction sites with the density-profile fluctuations, which are difficult to be sampled from the simulation trajectory. This article presents an improved numerical procedure to calculate the DCFs of three-site (SPC/E and TIP3P) and four-site (TIP4P-Ew) water models based on the reference interaction site model and molecular dynamics simulations. In combination with the modified fundamental measure theory for the bridge functionals, the DCFs have been utilised to predict the hydration free energies of 504 small organic molecules. The theoretical predictions yield an average unsigned error of 0.66 kcal/mol in comparison with the simulation data, better than that (∼1 kcal/mol) reported in previous cDFT calculations.
DOI: 10.6084/m9.figshare.2951263.v414
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2075455
title: Aerial Visual Tracking on 5th Video of VIVID Dataset

description: Video 5 of VIVID dataset.
DOI: 10.6084/m9.figshare.2075479
title: Lake Victoria Hydrodynamics

description: This is ROMS for Lake Victoria output, validation data and gis mapping shape files
DOI: 10.6084/m9.figshare.2951263.v415
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2075449
title: Aerial Visual Tracking on 3rd Video of VIVID Dataset

description: Video 3 of VIVID dataset.
DOI: 10.6084/m9.figshare.2075452
title: Aerial Visual Tracking on 4th Video of VIVID Dataset

description: Video 4 of VIVID dataset.
DOI: 10.6084/m9.figshare.2075449.v2
title: Aerial Visual Tracking on 3rd Video of VIVID Dataset

description: Video 3 of VIVID dataset.
DOI: 10.6084/m9.figshare.2075452.v2
title: Aerial Visual Tracking on 4th Video of VIVID Dataset

description: Video 4 of VIVID dataset.
DOI: 10.6084/m9.figshare.2075455.v1
title: egtest05.rar

description: Video 5 of VIVID dataset.
DOI: 10.6084/m9.figshare.2951263.v416
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2075449.v1
title: egtest03.rar

description: Video 3 of VIVID dataset.
DOI: 10.6084/m9.figshare.2075452.v1
title: egtest04.rar

description: Video 4 of VIVID dataset.
DOI: 10.6084/m9.figshare.2075443
title: Aerial Visual Tracking on 2nd Video of VIVID Dataset

description: Video 2 of VIVID datatset
DOI: 10.6084/m9.figshare.2075446
title: Aerial Visual Tracking on 1st Video of VIVID Dataset

description: Video 1 of VIVID dataset.
DOI: 10.6084/m9.figshare.2075455.v2
title: Aerial Visual Tracking

description: Video 5 of VIVID dataset.
DOI: 10.6084/m9.figshare.2951263.v417
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2075443.v2
title: Aerial Visual Tracking on 2nd Video of VIVID Dataset

description: Video 2 of VIVID datatset
DOI: 10.6084/m9.figshare.2075446.v2
title: Aerial Visual Tracking on 1st Video of VIVID Dataset

description: Video 1 of VIVID dataset.
DOI: 10.6084/m9.figshare.2075446.v1
title: egtest01.rar

description: Video 1 of VIVID dataset.
DOI: 10.6084/m9.figshare.2951263.v418
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2075443.v1
title: egtest02.rar

description: Video 2 of VIVID datatset
DOI: 10.6084/m9.figshare.2075419
title: KDD2016 influenza dataset

description: Theses files consist of the numbers of influenza related Japanese tweets in 47 areas (prefectures) during three seasons. The tweets have been classified into positive and negative by NLP. The tweets have been detected locations based on GPS information, profile location, or indirect information in contents.
DOI: 10.6084/m9.figshare.2951263.v419
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2075419.v2
title: KDD2016 influenza dataset

description: Theses files consist of the numbers of influenza related Japanese tweets in 47 areas (prefectures) during three seasons. The tweets have been classified into positive and negative by NLP. The tweets have been detected locations based on GPS information, profile location, or indirect information in contents.
DOI: 10.6084/m9.figshare.2075419.v1
title: New draft item

description: Theses files consist of the numbers of influenza related Japanese tweets in 47 areas (prefectures) during three seasons. The tweets have been classified into positive and negative by NLP. The tweets have been detected locations based on GPS information, profile location, or indirect information in contents.
DOI: 10.6084/m9.figshare.2951263.v420
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v421
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v422
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2951263.v423
title: UNH-RVAT 3-D Spalart--Allmaras RANS simulation results

description: Results from simulating the UNH-RVAT cross-flow turbine in three dimensions with the Spalart--Allmaras RANS model in OpenFOAM 2.3.x (590d57f32fed). See link below for case files (note: use the `SpalartAllmaras` branch), which include a script for downloading and extracting, as well as scripts for post-processing.
DOI: 10.6084/m9.figshare.2075377
title: Benzoxazolinone detoxification by <i>N</i>-Glucosylation: The multi-compartment-network of <i>Zea mays</i> L.

description: The major detoxification product in maize roots after 24 h benzoxazolin-2(3<i>H</i>)-one (BOA) exposure was identified as glucoside carbamate resulting from rearrangement of BOA-<i>N</i>-glucoside, but the pathway of <i>N</i>-glucosylation, enzymes involved and the site of synthesis were previously unknown. Assaying whole cell proteins revealed the necessity of H<sub>2</sub>O<sub>2</sub> and Fe<sup>2+</sup> ions for glucoside carbamate production. Peroxidase produced BOA radicals are apparently formed within the extraplastic space of the young maize root. Radicals seem to be the preferred substrate for <i>N</i>-glucosylation, either by direct reaction with glucose or, more likely, the <i>N</i>-glucoside is released by glucanase/glucosidase catalyzed hydrolysis from cell wall components harboring fixed BOA. The processes are accompanied by alterations of cell wall polymers. Glucoside carbamate accumulation could be suppressed by the oxireductase inhibitor 2-bromo-4´-nitroacetophenone and by peroxidase inhibitor 2,3-butanedione. Alternatively, activated BOA molecules with an open heterocycle may be produced by microorganisms (e.g., endophyte <i>Fusarium verticillioides</i>) and channeled for enzymatic <i>N</i>-glucosylation. Experiments with transgenic <i>Arabidopsis</i> lines indicate a role of maize glucosyltransferase BX9 in BOA-<i>N</i>-glycosylation. Western blots with BX9 antibody demonstrate the presence of BX9 in the extraplastic space. Proteomic analyses verified a high BOA responsiveness of multiple peroxidases in the apoplast/cell wall. BOA incubations led to shifting, altered abundances and identities of the apoplast and cell wall located peroxidases, glucanases, glucosidases and glutathione transferases (GSTs). GSTs could function as glucoside carbamate transporters. The highly complex, compartment spanning and redox-regulated glucoside carbamate pathway seems to be mainly realized in Poaceae. In maize, carbamate production is independent from benzoxazinone synthesis.