cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7076903
title: Supplementary material.rar from Hypergravity assisted chemical liquid deposition of <i>nano-granular film</i> on the inner surface of a quartz tube

description: Electronic supplementary material
DOI: 10.26165/juelich-data/tvwuup/zvrlhp
title: 257.png

description: :unav
DOI: 10.6084/m9.figshare.7076903.v1
title: Supplementary material.rar from Hypergravity assisted chemical liquid deposition of <i>nano-granular film</i> on the inner surface of a quartz tube

description: Electronic supplementary material
DOI: 10.26165/juelich-data/tvwuup/mjbnrq
title: 043.png

description: :unav
DOI: 10.26165/juelich-data/tvwuup/j428zu
title: 478.png

description: :unav
DOI: 10.6084/m9.figshare.7076882
title: Mapping semi-natural grassland communities using multi-temporal RapidEye remote sensing data

description: Mapping semi-natural grassland has become increasingly important with regard to climate variability, invasive species, and the intensification of land use. At the same time, adequate field data collection is of pivotal importance for national and international reporting obligations, such as the European Habitats Directive. We present a remote-sensing-based monitoring framework for a Natura 2000 site with a heterogeneous composition of different grassland communities, using the Random Forest algorithm. Automated training data selection was successfully implemented based on the Random Forest proximity measure (Overall Accuracy ranging from 77.5–86.5%). RapidEye acquisitions originating from the onset of vegetation (prespring and first spring) and senescence (late summer and first autumn) were identified as important phenological phases for mapping semi-natural grassland communities. The derived probability maps of occurrences for each grassland class captured transitions between grassland communities and are therefore a better approximation of real-world conditions compared to classical, discrete maps.
DOI: 10.6084/m9.figshare.7076897
title: Air pollution data from Assessment of air quality using a cloud model method

description: The original monitoring value of air pollution indicators
DOI: 10.6084/m9.figshare.7076897.v1
title: Air pollution data from Assessment of air quality using a cloud model method

description: The original monitoring value of air pollution indicators
DOI: 10.6084/m9.figshare.7076879
title: A comparison of airborne hyperspectral-based classifications of emergent wetland vegetation at Lake Balaton, Hungary

description: Earth observation has rapidly evolved into a state-of-the-art technology providing new capabilities and a wide variety of sensors; nevertheless, it is still a challenge for practitioners external to a specialized community of experts to select the appropriate sensor, define the imaging mode requirements, and select the optimal classifier or retrieval method for the task at hand. Especially in wetland mapping, studies have relied largely on vegetation indices and hyperspectral data to capture vegetation attributes. In this study, we investigate the capabilities of a concurrently acquired very high spatial resolution airborne hyperspectral and lidar data set at the peak of aquatic vegetation growth in a nature reserve at Lake Balaton, Hungary. The aim was to examine to what degree the different remote-sensing information sources (i.e. visible and near-infrared hyperspectral, vegetation indices and lidar) are contributing to an accurate aquatic vegetation map. The results indicate that de-noised hyperspectral information in the visible and very near-infrared bands (400–1000 nm) is performing most accurately. Inclusion of lidar information, hyperspectral infrared bands (1000–2500 nm), or extracted vegetation indices does not improve the classification accuracy. Experimental results with algorithmic comparisons show that in most cases, the Support Vector Machine classifier provides a better accuracy than the Maximum Likelihood.
DOI: 10.26165/juelich-data/tvwuup/dc1btt
title: 538.png

description: :unav
DOI: 10.6084/m9.figshare.7076882.v2
title: Mapping semi-natural grassland communities using multi-temporal RapidEye remote sensing data

description: Mapping semi-natural grassland has become increasingly important with regard to climate variability, invasive species, and the intensification of land use. At the same time, adequate field data collection is of pivotal importance for national and international reporting obligations, such as the European Habitats Directive. We present a remote-sensing-based monitoring framework for a Natura 2000 site with a heterogeneous composition of different grassland communities, using the Random Forest algorithm. Automated training data selection was successfully implemented based on the Random Forest proximity measure (Overall Accuracy ranging from 77.5–86.5%). RapidEye acquisitions originating from the onset of vegetation (prespring and first spring) and senescence (late summer and first autumn) were identified as important phenological phases for mapping semi-natural grassland communities. The derived probability maps of occurrences for each grassland class captured transitions between grassland communities and are therefore a better approximation of real-world conditions compared to classical, discrete maps.
DOI: 10.26165/juelich-data/tvwuup/n2nzzz
title: 700.png

description: :unav
DOI: 10.26165/juelich-data/tvwuup/jx1qca
title: 159.png

description: :unav
DOI: 10.6084/m9.figshare.7076879.v2
title: A comparison of airborne hyperspectral-based classifications of emergent wetland vegetation at Lake Balaton, Hungary

description: Earth observation has rapidly evolved into a state-of-the-art technology providing new capabilities and a wide variety of sensors; nevertheless, it is still a challenge for practitioners external to a specialized community of experts to select the appropriate sensor, define the imaging mode requirements, and select the optimal classifier or retrieval method for the task at hand. Especially in wetland mapping, studies have relied largely on vegetation indices and hyperspectral data to capture vegetation attributes. In this study, we investigate the capabilities of a concurrently acquired very high spatial resolution airborne hyperspectral and lidar data set at the peak of aquatic vegetation growth in a nature reserve at Lake Balaton, Hungary. The aim was to examine to what degree the different remote-sensing information sources (i.e. visible and near-infrared hyperspectral, vegetation indices and lidar) are contributing to an accurate aquatic vegetation map. The results indicate that de-noised hyperspectral information in the visible and very near-infrared bands (400–1000 nm) is performing most accurately. Inclusion of lidar information, hyperspectral infrared bands (1000–2500 nm), or extracted vegetation indices does not improve the classification accuracy. Experimental results with algorithmic comparisons show that in most cases, the Support Vector Machine classifier provides a better accuracy than the Maximum Likelihood.
DOI: 10.26165/juelich-data/tvwuup/p70ohy
title: 328.png

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DOI: 10.26165/juelich-data/tvwuup/2kl2jx
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DOI: 10.26165/juelich-data/tvwuup/rzgw4w
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DOI: 10.26165/juelich-data/tvwuup/lzslmv
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DOI: 10.26165/juelich-data/tvwuup/vkn7xk
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DOI: 10.26165/juelich-data/tvwuup/n8gjx4
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DOI: 10.26165/juelich-data/tvwuup/2reevg
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DOI: 10.26165/juelich-data/tvwuup/l90sdn
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DOI: 10.26165/juelich-data/tvwuup/s8ywrw
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DOI: 10.26165/juelich-data/tvwuup/q1l4o0
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DOI: 10.26165/juelich-data/tvwuup/gf3xtb
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DOI: 10.26165/juelich-data/tvwuup/dtpexg
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DOI: 10.26165/juelich-data/tvwuup/vkstht
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DOI: 10.26165/juelich-data/tvwuup/wlmnqd
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DOI: 10.26165/juelich-data/tvwuup/l6kupv
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DOI: 10.26165/juelich-data/tvwuup/cmcqwi
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DOI: 10.6084/m9.figshare.7076777
title: Data Sheet 1.xlsx

description: Statistical analysis on exome data<br>
DOI: 10.6084/m9.figshare.7076777.v1
title: Data Sheet 1.xlsx

description: Statistical analysis on exome data<br>
DOI: 10.26165/juelich-data/tvwuup/alqabo
title: 361.png

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DOI: 10.26165/juelich-data/tvwuup/xozwc4
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DOI: 10.26165/juelich-data/tvwuup/znemb3
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DOI: 10.26165/juelich-data/tvwuup/ifg4hn
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DOI: 10.26165/juelich-data/tvwuup/q8fgqv
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DOI: 10.26165/juelich-data/tvwuup/7aemv8
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description: :unav
DOI: 10.6084/m9.figshare.7076678
title: Fig 7-supplement: Plaque assays of chimeric IgG-treated parasites (RA15)

description: Plaque assay of chimeric IgG-treated parasites (RA15)<br><br><br>
DOI: 10.26165/juelich-data/tvwuup/p7ypgy
title: 126.png

description: :unav
DOI: 10.6084/m9.figshare.7076675
title: Fig 7-supplement: Plaque assays of chimeric IgG-treated parasites (LT3)

description: Plaque assays of chimeric IgG-treated parasites (LT3)<br><br><br>
DOI: 10.6084/m9.figshare.7076678.v1
title: Fig 7-supplement: Plaque assays of chimeric IgG-treated parasites (RA15)

description: Plaque assay of chimeric IgG-treated parasites (RA15)<br><br><br>
DOI: 10.6084/m9.figshare.7076672
title: Fig 7-supplement: Plaque assays of chimeric IgG-treated parasites (RS55)

description: Plaque assays of chimeric IgG-treated parasites (RS55)
DOI: 10.6084/m9.figshare.7076675.v1
title: Fig 7-supplement: Plaque assays of chimeric IgG-treated parasites (LT3)

description: Plaque assays of chimeric IgG-treated parasites (LT3)<br><br><br>
DOI: 10.26165/juelich-data/tvwuup/xlbela
title: 576.png

description: :unav
DOI: 10.6084/m9.figshare.7076672.v1
title: Fig 7-supplement: Plaque assays of chimeric IgG-treated parasites (RS55)

description: Plaque assays of chimeric IgG-treated parasites (RS55)
DOI: 10.6084/m9.figshare.7076666
title: Fig 7-supplement: Plaque assays of chimeric IgG-treated parasites (RT51)

description: Plaque assays of chimeric IgG-treated parasites (RT51)<br>
DOI: 10.26165/juelich-data/tvwuup/yxixb2
title: 477.png

description: :unav
DOI: 10.6084/m9.figshare.7076666.v1
title: Fig 7-supplement: Plaque assays of chimeric IgG-treated parasites (RT51)

description: Plaque assays of chimeric IgG-treated parasites (RT51)<br>
DOI: 10.26165/juelich-data/tvwuup/0jjrft
title: 129.png

description: :unav
DOI: 10.26165/juelich-data/tvwuup/tspbqw
title: 210.png

description: :unav
DOI: 10.6084/m9.figshare.7076642
title: Fig 3-Supplements: SDS-PAGE images of all purified chimeric IgG (TG130, RT51, RS55, LT3, and RA15)

description: SDS-PAGE analysis of purified chimeric IgG (TG130, RT51, RS55, LT3, and RA15) antibodies transiently expressed in <i>N. benthamiana </i>leaves.
DOI: 10.6084/m9.figshare.7076642.v1
title: Fig 3-Supplements: SDS-PAGE images of all purified chimeric IgG (TG130, RT51, RS55, LT3, and RA15)

description: SDS-PAGE analysis of purified chimeric IgG (TG130, RT51, RS55, LT3, and RA15) antibodies transiently expressed in <i>N. benthamiana </i>leaves.
DOI: 10.26165/juelich-data/tvwuup/e9l6sv
title: 276.png

description: :unav
DOI: 10.26165/juelich-data/tvwuup/co8bvl
title: 501.png

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DOI: 10.26165/juelich-data/tvwuup/kesdra
title: 441.png

description: :unav
DOI: 10.6084/m9.figshare.7076621
title: Kawaguchi_et_al_2018

description: Data required to reproduce the figures (before formatting) in the following paper:<br>"<b>Differentiating between models of perceptual decision-making using pupil-size inferred confidence.</b>"Katsuhisa Kawaguchi, Stephane Clery, Paria Pourriahi, Lenka Seillier, Ralf Haefner and Hendrikje Nienborg.Journal of Neuroscience 31 August 2018, 0735-18; DOI: https://doi.org/10.1523/JNEUROSCI.0735-18.2018. <br><br>See reference #1 for the link.<br><br><b>To reproduce the figures</b>,<br><b>1)</b> download the data.zip and E.mat file<br><b>2)</b> unzip the data.zip file and put the file 'E.mat' inside the folder 'data'.<br><b>3)</b> follow the instruction in the README.md in the corresponding Github repository (for the link see reference #2 below): https://github.com/NienborgLab/Kawaguchi_et_al_2018
DOI: 10.26165/juelich-data/tvwuup/kyee1i
title: 627.png

description: :unav
DOI: 10.6084/m9.figshare.7076621.v1
title: Kawaguchi_et_al_2018

description: Data required to reproduce the figures (before formatting) in the following paper:<br>"<b>Differentiating between models of perceptual decision-making using pupil-size inferred confidence.</b>"Katsuhisa Kawaguchi, Stephane Clery, Paria Pourriahi, Lenka Seillier, Ralf Haefner and Hendrikje Nienborg.Journal of Neuroscience 31 August 2018, 0735-18; DOI: https://doi.org/10.1523/JNEUROSCI.0735-18.2018. <br><br>See reference #1 for the link.<br><br><b>To reproduce the figures</b>,<br><b>1)</b> download the data.zip and E.mat file<br><b>2)</b> unzip the data.zip file and put the file 'E.mat' inside the folder 'data'.<br><b>3)</b> follow the instruction in the README.md in the corresponding Github repository (for the link see reference #2 below): https://github.com/NienborgLab/Kawaguchi_et_al_2018
DOI: 10.26165/juelich-data/tvwuup/ne69rz
title: 457.png

description: :unav
DOI: 10.26165/juelich-data/tvwuup/243qp8
title: 374.png

description: :unav
DOI: 10.26165/juelich-data/tvwuup/pfmfrv
title: 531.png

description: :unav
DOI: 10.6084/m9.figshare.7076591
title: Inbreeding_microsat loci_RPawluk

description: Parasitic sea lice are one of the main causes of economic loss in farmed Atlantic salmon, but the effect of host genetic diversity on sea lice loads is unclear. We examined the association between genetic diversity at neutral and immune-related loci and sea lice in farmed Atlantic salmon sampled at two production life stages. Sea lice loads increased with time spent in sea cages and was also influenced by diversity at MHC-related loci, but not by diversity at neutral loci. Our study suggests that consideration of immune-related genes could help improve selective breeding for sea lice resistance in farmed salmon.
DOI: 10.26165/juelich-data/tvwuup/rm7hoq
title: 461.png

description: :unav
DOI: 10.6084/m9.figshare.7076591.v2
title: Inbreeding_microsat loci_RPawluk

description: Parasitic sea lice are one of the main causes of economic loss in farmed Atlantic salmon, but the effect of host genetic diversity on sea lice loads is unclear. We examined the association between genetic diversity at neutral and immune-related loci and sea lice in farmed Atlantic salmon sampled at two production life stages. Sea lice loads increased with time spent in sea cages and was also influenced by diversity at MHC-related loci, but not by diversity at neutral loci. Our study suggests that consideration of immune-related genes could help improve selective breeding for sea lice resistance in farmed salmon.
DOI: 10.26165/juelich-data/tvwuup/wulja3
title: 598.png

description: :unav
DOI: 10.6084/m9.figshare.7076591.v1
title: Inbreeding_microsat loci_RPawluk.xlsx

description: Parasitic sea lice are one of the main causes of economic loss in farmed Atlantic salmon, but the effect of host genetic diversity on sea lice loads is unclear. We examined the association between genetic diversity at neutral and immune-related loci and sea lice in farmed Atlantic salmon sampled at two production life stages. Sea lice loads increased with time spent in sea cages and was also influenced by diversity at MHC-related loci, but not by diversity at neutral loci. Our study suggests that consideration of immune-related genes could help improve selective breeding for sea lice resistance in farmed salmon.
DOI: 10.26165/juelich-data/tvwuup/ygdzcs
title: 713.png

description: :unav
DOI: 10.26165/juelich-data/tvwuup/8syrtd
title: 324.png

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DOI: 10.26165/juelich-data/tvwuup/k7hqss
title: 310.png

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DOI: 10.26165/juelich-data/tvwuup/8sxyvx
title: 484.png

description: :unav
DOI: 10.6084/m9.figshare.7076543
title: Molecular characterization of the giant freshwater prawn (Macrobrachium rosenbergii) beta-actin gene promoter

description: This folder contains the primary pictures for western blot and the raw data for qPCR and luciferase activity assays.
DOI: 10.26165/juelich-data/tvwuup/jvdb89
title: 188.png

description: :unav
DOI: 10.26165/juelich-data/tvwuup/syvk7m
title: 196.png

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DOI: 10.26165/juelich-data/tvwuup/jqxghf
title: 170.png

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DOI: 10.26165/juelich-data/tvwuup/snrhlx
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description: :unav
DOI: 10.6084/m9.figshare.7076543.v3
title: Molecular characterization of the giant freshwater prawn (Macrobrachium rosenbergii) beta-actin gene promoter

description: This folder contains the primary pictures for western blot and the raw data for qPCR and luciferase activity assays.
DOI: 10.26165/juelich-data/tvwuup/oxrums
title: 371.png

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DOI: 10.26165/juelich-data/tvwuup/mr7tcn
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DOI: 10.26165/juelich-data/tvwuup/xopq8b
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DOI: 10.26165/juelich-data/tvwuup/6frz9f
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DOI: 10.6084/m9.figshare.7076465
title: Lidar_bgRemoval

description: lidar data with bgremoval
DOI: 10.26165/juelich-data/tvwuup/krnr8n
title: 507.png

description: :unav
DOI: 10.6084/m9.figshare.7076465.v2
title: Lidar_bgRemoval

description: lidar data with bgremoval
DOI: 10.26165/juelich-data/tvwuup/6qdgjp
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DOI: 10.26165/juelich-data/tvwuup/tdxbkn
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DOI: 10.26165/juelich-data/tvwuup/cyrciz
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DOI: 10.26165/juelich-data/tvwuup/a6i1j8
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DOI: 10.26165/juelich-data/tvwuup/c1rx26
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DOI: 10.26165/juelich-data/tvwuup/huwqi2
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DOI: 10.26165/juelich-data/tvwuup/ryjgic
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DOI: 10.26165/juelich-data/tvwuup/mxxicy
title: 686.png

description: :unav
DOI: 10.26165/juelich-data/tvwuup/ctu4av
title: data.csv

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DOI: 10.26165/juelich-data/tvwuup/qmaiub
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DOI: 10.26165/juelich-data/tvwuup/djkorx
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DOI: 10.26165/juelich-data/tvwuup/qbmq0u
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DOI: 10.26165/juelich-data/tvwuup/0ecweg
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DOI: 10.26165/juelich-data/tvwuup/fzisux
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DOI: 10.26165/juelich-data/tvwuup/bogiau
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DOI: 10.26165/juelich-data/tvwuup/hcd1ps
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DOI: 10.26165/juelich-data/tvwuup/jwr6il
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DOI: 10.6084/m9.figshare.7075934
title: MOESM1 of A multiplexed gas exchange system for increased throughput of photosynthetic capacity measurements

description: Additional file 1. Microsoft Excel file with VBA code that controls the OCTOflux system.
DOI: 10.6084/m9.figshare.7075934.v1
title: MOESM1 of A multiplexed gas exchange system for increased throughput of photosynthetic capacity measurements

description: Additional file 1. Microsoft Excel file with VBA code that controls the OCTOflux system.
DOI: 10.26165/juelich-data/tvwuup/wmzaoe
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DOI: 10.26165/juelich-data/tvwuup/w1fkzz
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DOI: 10.26165/juelich-data/tvwuup/crt7c7
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DOI: 10.26165/juelich-data/tvwuup/fkgbag
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DOI: 10.26165/juelich-data/tvwuup/qyvanz
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DOI: 10.26165/juelich-data/tvwuup/mry0pe
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DOI: 10.26165/juelich-data/tvwuup/axm0vf
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DOI: 10.26165/juelich-data/tvwuup/ffiif3
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DOI: 10.26165/juelich-data/tvwuup/qseh3b
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DOI: 10.26165/juelich-data/tvwuup/bcptmg
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DOI: 10.6084/m9.figshare.7075694
title: Experimental analysis of the spalling phenomenon in precast reinforced concrete columns exposed to high temperatures

description: Abstract Among the processes that involve the degradation of concrete structures subject to the high temperatures of a fire there is the spalling phenomenon. Its mechanisms are related to the thermal stress of the materials dilatations and pore pressure the process of vaporization of water during heating. The factors that influences in its occurrence are related to concrete properties, structural member characteristics or the exposure conditions, and their parameters are not clearly known yet. This paper aimed to study the influence of three concrete mixtures, four coating thicknesses and two bars diameters of longitudinal reinforcement in the spalling phenomena exposed to ISO 834 fire curve. The characterization of concrete were performed either of the axial compression strength tests, water absorption by capillary and mercury intrusion porosimetry, besides the fire resistance tests in real-scale specimens. It was concluded that the diameter of the bar does not have influence, while the mixture and the concrete cover thickness does. More spalling was recorded for the columns with thicker concrete cover and concrete compressive strength at 61,9 MPa, and although higher strength concrete have less permeability, this characteristic can be balanced with the higher tensile strength of this type of concrete.