cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3943700
title: Developing a deep Learning network to retrieve ocean hydrographic profiles in the North Atlantic from combined satellite and in situ measurements: test datasets.

description: We provide here the datasets used for the test and assessment of a deep learning algorithm which is presently candidate for the development of a daily 3D ocean product covering the North Atlantic at 1/10° resolution, over the 2010-2018 period, as part of the European Space Agency World Ocean Circulation project (ESA-WOC). The method is based on a stacked Long Short-Term Memory neural network, coupled to a Monte-Carlo dropout approach, and allows to project satellite-derived sea surface temperature, sea surface salinity and absolute dynamic topography data at depth after training with sparse co-located in situ vertical hydrographic profiles (Buongiorno Nardelli, 2020, doi:10.3390/rs12193151). The test dataset presented here includes different sets of co-located temperature and salinity vertical profiles: in situ observations extracted from the quality controlled Argo and CTD profiles produced by Copernicus Marine Environment Monitoring Service CORA 5.2 (http://marine.copernicus.eu/services-portfolio/access-to-products/, product_id: INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b, doi: 10.17882/46219TS1, Szekely et al., 2019) and interpolated through a spline on a regularly spaced vertical grid (with 10 m intervals); climatological profiles extracted from World Ocean Atlas 2013 optimally interpolated monthly fields (Locarnini et al., 2013; Zweng et al., 2013), interpolated through a spline on a regularly spaced vertical grid (with 10 m intervals), upsized to a 1/10° horizontal grid through a cubic spline and linearly interpolated in time between the central day of each month; synthetic profiles obtained through three different techniques: multivariate EOF reconstruction, a 2 layer feed-forward network (with 1000 units in each hidden layer) and a stacked LSTM network (with 2 LSTM layers and 35 hidden units) <em>References:</em> Buongiorno Nardelli, B.: A Deep Learning network to retrieve ocean hydrographic profiles from combined satellite and in situ measurements, 2020, <em>submitted</em>. Locarnini, R. A., Mishonov, A. V., Antonov, J. I., Boyer, T. P., Garcia, H. E., Baranova, O. K., Zweng, M. M., Paver, C. R., Reagan, J. R., Johnson, D. R., Hamilton, M. and Seidov, D.: World Ocean Atlas 2013. Vol. 1: Temperature., S. Levitus, Ed.; A. Mishonov, Tech. Ed.; NOAA Atlas NESDIS, 73(September), 40, doi:10.1182/blood-2011-06-357442, 2013. Szekely, T., Gourrion, J., Pouliquen, S. and Reverdin, G.: The CORA 5.2 dataset for global in situ temperature and salinity measurements: Data description and validation, Ocean Sci., 15(6), 1601–1614, doi:10.5194/os-15-1601-2019, 2019. Zweng, M. M., Reagan, J. R., Antonov, J. I., Mishonov, A. V., Boyer, T. P., Garcia, H. E., Baranova, O. K., Johnson, D. R., Seidov, D. and Bidlle, M. M.: World Ocean Atlas 2013, Volume 2: Salinity, NOAA Atlas NESDIS, 119(1), 227–237, doi:10.1182/blood-2011-06-357442, 2013.
DOI: 10.5281/zenodo.3943699
title: Developing a deep Learning network to retrieve ocean hydrographic profiles in the North Atlantic from combined satellite and in situ measurements: test datasets.

description: We provide here the datasets used for the test and assessment of a deep learning algorithm which is presently candidate for the development of a daily 3D ocean product covering the North Atlantic at 1/10° resolution, over the 2010-2018 period, as part of the European Space Agency World Ocean Circulation project (ESA-WOC). The method is based on a stacked Long Short-Term Memory neural network, coupled to a Monte-Carlo dropout approach, and allows to project satellite-derived sea surface temperature, sea surface salinity and absolute dynamic topography data at depth after training with sparse co-located in situ vertical hydrographic profiles (Buongiorno Nardelli, 2020, doi:10.3390/rs12193151). The test dataset presented here includes different sets of co-located temperature and salinity vertical profiles: in situ observations extracted from the quality controlled Argo and CTD profiles produced by Copernicus Marine Environment Monitoring Service CORA 5.2 (http://marine.copernicus.eu/services-portfolio/access-to-products/, product_id: INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b, doi: 10.17882/46219TS1, Szekely et al., 2019) and interpolated through a spline on a regularly spaced vertical grid (with 10 m intervals); climatological profiles extracted from World Ocean Atlas 2013 optimally interpolated monthly fields (Locarnini et al., 2013; Zweng et al., 2013), interpolated through a spline on a regularly spaced vertical grid (with 10 m intervals), upsized to a 1/10° horizontal grid through a cubic spline and linearly interpolated in time between the central day of each month; synthetic profiles obtained through three different techniques: multivariate EOF reconstruction, a 2 layer feed-forward network (with 1000 units in each hidden layer) and a stacked LSTM network (with 2 LSTM layers and 35 hidden units) <em>References:</em> Buongiorno Nardelli, B.: A Deep Learning network to retrieve ocean hydrographic profiles from combined satellite and in situ measurements, 2020, <em>submitted</em>. Locarnini, R. A., Mishonov, A. V., Antonov, J. I., Boyer, T. P., Garcia, H. E., Baranova, O. K., Zweng, M. M., Paver, C. R., Reagan, J. R., Johnson, D. R., Hamilton, M. and Seidov, D.: World Ocean Atlas 2013. Vol. 1: Temperature., S. Levitus, Ed.; A. Mishonov, Tech. Ed.; NOAA Atlas NESDIS, 73(September), 40, doi:10.1182/blood-2011-06-357442, 2013. Szekely, T., Gourrion, J., Pouliquen, S. and Reverdin, G.: The CORA 5.2 dataset for global in situ temperature and salinity measurements: Data description and validation, Ocean Sci., 15(6), 1601–1614, doi:10.5194/os-15-1601-2019, 2019. Zweng, M. M., Reagan, J. R., Antonov, J. I., Mishonov, A. V., Boyer, T. P., Garcia, H. E., Baranova, O. K., Johnson, D. R., Seidov, D. and Bidlle, M. M.: World Ocean Atlas 2013, Volume 2: Salinity, NOAA Atlas NESDIS, 119(1), 227–237, doi:10.1182/blood-2011-06-357442, 2013.
DOI: 10.5281/zenodo.4050489
title: radio-astro-tools tutorial data

description: These data are used in the tutorials for radio-astro-tools, an organization that hosts a number of community-developed codes pertinent to the analysis of long-wavelength astronomical data in the radio, millimeter, and far-infrared regime. The current data set is a 12CO(2-1) spectral-line data cube of M33 taken with ALMA's 7-m ACA array (Project ID 2019.1.01182.S).
DOI: 10.5281/zenodo.4021107
title: radio-astro-tools tutorial data

description: These data are used in the tutorials for radio-astro-tools, an organization that hosts a number of community-developed codes pertinent to the analysis of long-wavelength astronomical data in the radio, millimeter, and far-infrared regime. The current data set is a 12CO(2-1) spectral-line data cube of M33 taken with ALMA's 7-m ACA array (Project ID 2019.1.01182.S).
DOI: 10.6084/m9.figshare.13006553
title: R0229_20181101a_videos

description: Rat 0229, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13008452
title: R0230_20181027a_videos

description: Rat 0230, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.23641/asha.12986036
title: Word form processing in children (Hein & Kauschke, 2020)

description: <b>Purpose: </b>From a psycholinguistic perspective, the quality of the stored word form in the phonological input lexicon, as well as its effective retrieval from the phonological output lexicon, is of great importance in lexical processing. This study aimed at gaining a deeper understanding of (a)typical word form processing in primary school children. In particular, age-related development and profiles of word form processing including children’s response behavior were investigated. <b>Method: </b>A sample of 164 monolingual primary school children (6–9 years of age) was tested in a cross-sectional design using two word form–related tasks (auditory lexical decision and rapid naming) with carefully controlled stimuli in combination with traditional vocabulary tests and a nonword repetition task.<b>Results: </b>First, an age-related improvement (better performance and acceleration of reaction times) was found for both word form–related tasks. Second, a cluster analysis revealed five clusters with different profiles of word processing. Beside a cluster with overall results of above average, we found two clusters including children with typical lexical abilities who applied specific strategies to deal with the tasks (speed–accuracy trade-offs). Two other clusters represented weak lexical abilities at different levels of word processing.<b>Conclusions: </b>Children’s abilities in word form processing develop over time and are characterized by developmental boosts that occur at different times in development. The uncovered profiles document patterns of (a)typical lexical processing. Since difficulties with word form processing are easily overlooked in clinical assessment, lexical decision and rapid naming tasks offer valuable tools for an in-depth evaluation of lexical skills.<br><b>Supplemental Material S1.</b> Item set of the auditory lexical decision task.<br><b>Supplemental Material S2. </b>According to one-way ANOVA, nouns and verbs in the LDT do not differ significantly from each other regarding (psycho-)linguistic features.<br><b>Supplemental Material S3.</b> Item set of the rapid naming task.<br><b>Supplemental Material S4. </b>According to one-way ANOVA, nouns and verbs in the RNT do not differ significantly from each other regarding (psycho-)linguistic features.<br><b>Supplemental Material S5.</b> Means of age for the LDT and the RNT as well as results from a one-way ANOVA.<br><b>Supplemental Material S6. </b>Comparing the different age groups, post hoc analyses (Bonferroni) for accuracy and reaction times in the LDT and the RNT.<br><b>Supplemental Material S7.</b> The descriptive data of the different clusters.<br><b>Supplemental Material S8.</b> The results of a one-way ANOVA after Bonferroni-corrected post hoc tests.<br>Hein, K., & Kauschke, C. (2020). Word form processing in primary school children: A psycholinguistic perspective. <i>Journal of Speech, Language, and Hearing Research.</i> Advance online publication. https://doi.org/10.1044/2020_JSLHR-20-00067
DOI: 10.23641/asha.12986036.v1
title: Word form processing in children (Hein & Kauschke, 2020)

description: <b>Purpose: </b>From a psycholinguistic perspective, the quality of the stored word form in the phonological input lexicon, as well as its effective retrieval from the phonological output lexicon, is of great importance in lexical processing. This study aimed at gaining a deeper understanding of (a)typical word form processing in primary school children. In particular, age-related development and profiles of word form processing including children’s response behavior were investigated. <b>Method: </b>A sample of 164 monolingual primary school children (6–9 years of age) was tested in a cross-sectional design using two word form–related tasks (auditory lexical decision and rapid naming) with carefully controlled stimuli in combination with traditional vocabulary tests and a nonword repetition task.<b>Results: </b>First, an age-related improvement (better performance and acceleration of reaction times) was found for both word form–related tasks. Second, a cluster analysis revealed five clusters with different profiles of word processing. Beside a cluster with overall results of above average, we found two clusters including children with typical lexical abilities who applied specific strategies to deal with the tasks (speed–accuracy trade-offs). Two other clusters represented weak lexical abilities at different levels of word processing.<b>Conclusions: </b>Children’s abilities in word form processing develop over time and are characterized by developmental boosts that occur at different times in development. The uncovered profiles document patterns of (a)typical lexical processing. Since difficulties with word form processing are easily overlooked in clinical assessment, lexical decision and rapid naming tasks offer valuable tools for an in-depth evaluation of lexical skills.<br><b>Supplemental Material S1.</b> Item set of the auditory lexical decision task.<br><b>Supplemental Material S2. </b>According to one-way ANOVA, nouns and verbs in the LDT do not differ significantly from each other regarding (psycho-)linguistic features.<br><b>Supplemental Material S3.</b> Item set of the rapid naming task.<br><b>Supplemental Material S4. </b>According to one-way ANOVA, nouns and verbs in the RNT do not differ significantly from each other regarding (psycho-)linguistic features.<br><b>Supplemental Material S5.</b> Means of age for the LDT and the RNT as well as results from a one-way ANOVA.<br><b>Supplemental Material S6. </b>Comparing the different age groups, post hoc analyses (Bonferroni) for accuracy and reaction times in the LDT and the RNT.<br><b>Supplemental Material S7.</b> The descriptive data of the different clusters.<br><b>Supplemental Material S8.</b> The results of a one-way ANOVA after Bonferroni-corrected post hoc tests.<br>Hein, K., & Kauschke, C. (2020). Word form processing in primary school children: A psycholinguistic perspective. <i>Journal of Speech, Language, and Hearing Research.</i> Advance online publication. https://doi.org/10.1044/2020_JSLHR-20-00067
DOI: 10.6084/m9.figshare.13006553.v1
title: R0229_20181101a_videos

description: Rat 0229, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13008452.v1
title: R0230_20181027a_videos

description: Rat 0230, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6073/pasta/c6b01bf5c74923036021486aef221454
title: Hubbard Brook Experimental Forest: 15-minute Precipitation Standard Rain Gage Measurements, 2011 - present

description: Beginning in 2011, ten electronic weighing rain gauges were progressively implemented at the Hubbard Brook Experimental Forest to measure precipitation at 15-minute intervals. These data were gathered at the Hubbard Brook Experimental Forest in Thornton, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.7910/dvn/t1luiy/vfwtjo
title: victim_level_data.tab

description: :unav
DOI: 10.5281/zenodo.4011759
title: Synthetic and real datasets for "Seismic source tracking with six degree-of-freedom ground motion observations"

description: Synthetic datasets for the 2D and 3D rupture tracking and real datasets for the traffic noise tracking used in the manuscript "Seismic source tracking with six degree-of-freedom ground motion observations". The README file describes the data structures.
DOI: 10.5281/zenodo.3626271
title: Synthetic and real datasets for "Seismic source tracking with six degree-of-freedom ground motion observations"

description: Synthetic datasets for the 2D and 3D rupture tracking and real datasets for the traffic noise tracking used in the manuscript "Seismic source tracking with six degree-of-freedom ground motion observations". The README file describes the data structures.
DOI: 10.5281/zenodo.4050512
title: Comparison of methods for bulk automated simulation of glycosidic bond conformations - MD trajectory data

description: MD trajectories (supplementary data for the article)
DOI: 10.5281/zenodo.4050511
title: Comparison of methods for bulk automated simulation of glycosidic bond conformations - MD trajectory data

description: MD trajectories (supplementary data for the article)
DOI: 10.5281/zenodo.4049858
title: Three-dimensional reconstructed canopies of apple cultivars grafted on different interstocks

description: Canopy architecture is important for a range of orchard ecosystem processes, including radiation interception and distribution within canopy, flowering, carbon assimilation, fruit yield and quality and pest and pathogen attacks in fruit trees. The canopy of fruit tree varies greatly from cultivar to cultivar, and can be manipulated by horticultural practices, such as rootstock, pruning, training etc. We collected canopy architectural data in ‘Fuji’ and ‘Gala’ apple cultivars which were grafted onto two rootstock/interstock combinations: <em>M. micromalus</em>/<em>M. domestica</em> cv. ‘Qinguan’, a vigorous interstock and <em>M. micromalus</em>/M26, a dwarf interstock. Allometric relationships at leaf and shoot scale were determined for all shoot types before harvests in 2011 and 2012, including bourse, bourse short shoot, bourse long shoot, vegetative short shoot, and vegetative long shoot. A dataset of 4351 records of leaf Euler angles were digitized for all shoot types. For 19 trees, their 3D distribution of the foliage within canopy was reconstructed by combining both the spatial locations of shoots (as measured from 3D digitizing) and foliage reconstruction based on allometric relationships and leaf angle distributions. We believe this dataset is a valuable resource for studies and models that require leaf angles and detailed 3D virtual canopies.
description: Funding provided by: National Natural Science Foundation of China Award Number: 31860527 Funding provided by: Primary Research & Development Plan of Shaanxi Province Award Number: 2017NY0055
DOI: 10.5281/zenodo.4049857
title: Three-dimensional reconstructed canopies of apple cultivars grafted on different interstocks

description: Canopy architecture is important for a range of orchard ecosystem processes, including radiation interception and distribution within canopy, flowering, carbon assimilation, fruit yield and quality and pest and pathogen attacks in fruit trees. The canopy of fruit tree varies greatly from cultivar to cultivar, and can be manipulated by horticultural practices, such as rootstock, pruning, training etc. We collected canopy architectural data in ‘Fuji’ and ‘Gala’ apple cultivars which were grafted onto two rootstock/interstock combinations: <em>M. micromalus</em>/<em>M. domestica</em> cv. ‘Qinguan’, a vigorous interstock and <em>M. micromalus</em>/M26, a dwarf interstock. Allometric relationships at leaf and shoot scale were determined for all shoot types before harvests in 2011 and 2012, including bourse, bourse short shoot, bourse long shoot, vegetative short shoot, and vegetative long shoot. A dataset of 4351 records of leaf Euler angles were digitized for all shoot types. For 19 trees, their 3D distribution of the foliage within canopy was reconstructed by combining both the spatial locations of shoots (as measured from 3D digitizing) and foliage reconstruction based on allometric relationships and leaf angle distributions. We believe this dataset is a valuable resource for studies and models that require leaf angles and detailed 3D virtual canopies.
description: Funding provided by: National Natural Science Foundation of China Award Number: 31860527 Funding provided by: Primary Research & Development Plan of Shaanxi Province Award Number: 2017NY0055
DOI: 10.6084/m9.figshare.8982506
title: Reference global noise correlations

description: <b>*** moved to mendely data </b><b>*** please visit </b>http://dx.doi.org/10.17632/xfg4m86tjf.1<br>
DOI: 10.18112/openneuro.ds003188.v1.0.0
title: Assesment of the visual stimuli properties in P300 paradigm
DOI: 10.25345/c55n2c
title: MassIVE MSV000086201 - Repurposing chloramphenicol acetyltransferase for a robust and efficient designer ester biosynthesis platform
title: Repurposing chloramphenicol acetyltransferase for a robust and efficient designer ester biosynthesis platform
DOI: 10.6084/m9.figshare.13010396
title: Empirical data for project: Mining user reviews of COVID contact-tracing apps

description: Empirical data for project: Mining user reviews of COVID contact-tracing apps
DOI: 10.6084/m9.figshare.13010396.v1
title: Empirical data for project: Mining user reviews of COVID contact-tracing apps

description: Empirical data for project: Mining user reviews of COVID contact-tracing apps
DOI: 10.6084/m9.figshare.13010402
title: Empirical data for project: Mining user reviews of COVID contact-tracing apps

description: Empirical data for project: Mining user reviews of COVID contact-tracing apps
DOI: 10.21227/9db9-ne03
title: Supplemental Data to Submission Mattes et al. IEEE TMI 2020

description: The data uploaded here shall support the paperDecision Tree Analysis of Geometric and Hemodynamic Parameters as Indicators for Complications after Endovascular Aortic Aneurysm Repairwhich has been submitted to IEEE Transactions on Medical Imaging (2020, September 25) by the authorsJulian Mattes, Wolfgang Fenz, Stefan Thumfart, Gerhard Haitchi, Pierre Schmit, Franz A. FellnerDuring review the data shall only be visible for the reviewers of this paper. Afterwards this abstract will be modified and complemented and a dataset image will be uploaded.
DOI: 10.21227/em4c-8d03
title: Supplemental Data to Submission Mattes et al. IEEE TMI 2020

description: The data uploaded here shall support the paperDecision Tree Analysis of Geometric and Hemodynamic Parameters as Indicators for Complications after Endovascular Aortic Aneurysm Repairwhich has been submitted to IEEE Transactions on Medical Imaging (2020, September 25) by the authorsJulian Mattes, Wolfgang Fenz, Stefan Thumfart, Gerhard Haitchi, Pierre Schmit, Franz A. FellnerDuring review the data shall only be visible for the reviewers of this paper. Afterwards this abstract will be modified and complemented and a dataset image will be uploaded.
DOI: 10.21227/j2eh-g613
title: Supplemental Data to Submission Mattes et al. IEEE TMI 2020

description: The data uploaded here shall support the paperDecision Tree Analysis of Geometric and Hemodynamic Parameters as Indicators for Complications after Endovascular Aortic Aneurysm Repairwhich has been submitted to IEEE Transactions on Medical Imaging (2020, September 25) by the authorsJulian Mattes, Wolfgang Fenz, Stefan Thumfart, Gerhard Haitchi, Pierre Schmit, Franz A. FellnerDuring review the data shall only be visible for the reviewers of this paper. Afterwards this abstract will be modified and complemented and a dataset image will be uploaded.
DOI: 10.5281/zenodo.4050566
title: Tropical cyclones significantly alleviate mega-deltaic erosion induced by high riverine flow

description: Research repository of the paper entitled "Tropical cyclones significantly alleviate mega-deltaic erosion induced by high riverine flow" that published in Geophysical Research Letters by Wang et al. The statistical and analytical data mainly include bathymetric change magnitudes, morphodynamic characteristics, detailed information of tropical cyclones and the monthly water-sediment discharges of the Changjiang at Datong, etc.
DOI: 10.5281/zenodo.4050565
title: Tropical cyclones significantly alleviate mega-deltaic erosion induced by high riverine flow

description: Research repository of the paper entitled "Tropical cyclones significantly alleviate mega-deltaic erosion induced by high riverine flow" that published in Geophysical Research Letters by Wang et al. The statistical and analytical data mainly include bathymetric change magnitudes, morphodynamic characteristics, detailed information of tropical cyclones and the monthly water-sediment discharges of the Changjiang at Datong, etc.
DOI: 10.6084/m9.figshare.12933854.v1
title: Dataset: Germination response of diverse wild and landrace chile peppers (Capsicum spp.) under drought stress simulated with polyethylene glycol

description: These data and analysis files (Rmd) accompany the manuscript "Germination response of diverse wild and landrace chile peppers (Capsicum spp.) under drought stress simulated with polyethylene glycol".Accessions of chile pepper collected from southern Mexico were grown under uniform conditions to produce seed. This seed was used in a germination study evaluating response under four treatments (water control, 10%, 15%, and 20% w/v PEG-6000. Variation in germination patterns was evaluated using survival-time analysis, and heritability of different germination curve characteristics was assessed.