cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7185594
title: Geospatial data used in "Estimation of river water surface elevation using UAV photogrammetry and machine learning"

description: Geospatial data used in article "Estimation of river water surface elevation using UAV photogrammetry and machine learning" by Radosław Szostak, Marcin Pietroń, Przemysław Wachniew, Mirosław Zimnoch and Paweł Ćwiąkała (AGH UST). Each zip archive contains the following files: dsm.tif - raster of digital surface model, ortho.tif - raster of orthophoto, gnss_wse.json - geojson multipoint shape containing RTN GNSS measurements of water surface elevation, grid.json - geojson multipolygon shape containing square areas of samples used in deep learning solution. centerline.json - geojson multipoint shape containing values sampled from DSM along centerline, wateredge.json - geojson multipoint shape containing values sampled from DSM along "water-edge". Data in AMO18.zip archive was collected by Bandini et. al (https://doi.org/10.5281/zenodo.3519888). Preprocessed machine learning dataset and source codes are available in github repository at: https://github.com/radekszostak/river-wse-uav-ml
description: Research was partially supported by the National Science Centre, Poland, project WATERLINE (2020/02/Y/ST10/00065), under the CHISTERA IV programme of the EU Horizon 2020 (Grant no 857925) and the "Excellence Initiative - Research University" program at the AGH University of Science and Technology. The computing resources of the PL-Grid infrastructure were used in this study.
DOI: 10.5281/zenodo.7185593
title: Geospatial data used in "Estimation of river water surface elevation using UAV photogrammetry and machine learning"

description: Geospatial data used in article "Estimation of river water surface elevation using UAV photogrammetry and machine learning" by Radosław Szostak, Marcin Pietroń, Przemysław Wachniew, Mirosław Zimnoch and Paweł Ćwiąkała (AGH UST). Each zip archive contains the following files: dsm.tif - raster of digital surface model, ortho.tif - raster of orthophoto, gnss_wse.json - geojson multipoint shape containing RTN GNSS measurements of water surface elevation, grid.json - geojson multipolygon shape containing square areas of samples used in deep learning solution. centerline.json - geojson multipoint shape containing values sampled from DSM along centerline, wateredge.json - geojson multipoint shape containing values sampled from DSM along "water-edge". Data in AMO18.zip archive was collected by Bandini et. al (https://doi.org/10.5281/zenodo.3519888). Preprocessed machine learning dataset and source codes are available in github repository at: https://github.com/radekszostak/river-wse-uav-ml
description: Research was partially supported by the National Science Centre, Poland, project WATERLINE (2020/02/Y/ST10/00065), under the CHISTERA IV programme of the EU Horizon 2020 (Grant no 857925) and the "Excellence Initiative - Research University" program at the AGH University of Science and Technology. The computing resources of the PL-Grid infrastructure were used in this study.
DOI: 10.34740/kaggle/dsv/4317490
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.21317417
title: Probabilistic seismic performance assessment of offshore jacket structures as a basis for engineering decision-making

description: Jacket structures play an ever-increasing role in meeting the world’s burgeoning energy demand by providing support structure for exploiting offshore wind energy and oil and gas resources. Many of these structures are past their design lifetimes, and thus may have suffered significant degradation, highlighting the importance of investigating their earthquake response in seismically active regions. This study investigates the seismic performance of a typical offshore jacket platform, denoted as baseline structure, as well as four versions with two longer (25% and 50% larger) and two shorter (25% and 50% smaller) natural vibration periods accounting for two levels of degradation and retrofit effects on structural performance. For each case, eleven ensembles of ground motions compatible with the site’s seismic hazard are selected using the generalized conditional intensity measure methodology. The loading uncertainty is incorporated in the performance assessment procedure via probabilistic seismic demand analysis and the demand hazard is quantified. The results provide valuable information regarding reliability of these structures both at design stage and during service life, which can aid decision-making around rehabilitation of older platforms, the suitability of reusing obsolete platforms beyond service lifetime, and risk-based design of new platforms.
DOI: 10.6084/m9.figshare.21317417.v1
title: Probabilistic seismic performance assessment of offshore jacket structures as a basis for engineering decision-making

description: Jacket structures play an ever-increasing role in meeting the world’s burgeoning energy demand by providing support structure for exploiting offshore wind energy and oil and gas resources. Many of these structures are past their design lifetimes, and thus may have suffered significant degradation, highlighting the importance of investigating their earthquake response in seismically active regions. This study investigates the seismic performance of a typical offshore jacket platform, denoted as baseline structure, as well as four versions with two longer (25% and 50% larger) and two shorter (25% and 50% smaller) natural vibration periods accounting for two levels of degradation and retrofit effects on structural performance. For each case, eleven ensembles of ground motions compatible with the site’s seismic hazard are selected using the generalized conditional intensity measure methodology. The loading uncertainty is incorporated in the performance assessment procedure via probabilistic seismic demand analysis and the demand hazard is quantified. The results provide valuable information regarding reliability of these structures both at design stage and during service life, which can aid decision-making around rehabilitation of older platforms, the suitability of reusing obsolete platforms beyond service lifetime, and risk-based design of new platforms.
DOI: 10.6084/m9.figshare.21317238
title: Raw grainsize distribution data of supercritical flow sediments from a Gilbert-type delta

description: Raw dataset of laser diffractometer data of grainsize distribution in the supercritical flow sediments from a Gilbert-type delta (Freden). One sample per tab in the Excel file. <br>
DOI: 10.34740/kaggle/dsv/4317499
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.4620948
title: Data set associated to simulations performed within the manuscript "Endosperm turgor pressure both promotes and restricts seed growth and size".

description: This data set contains: Raw data from seed growth tracking experiments performed on WT plants as well as<em> iku2</em> and <em>ede1-3</em> mutants. Raw data from endosperm pressure measurements performed on WT plants and<em> iku2</em> mutants. Simulation results from a parameter space exploration of the system of ODEs we studied within the scope of the work described in the manuscript.
DOI: 10.5281/zenodo.7074191
title: Data set associated to simulations performed within the manuscript "Endosperm turgor pressure both promotes and restricts seed growth and size".

description: This data set contains: Raw data from seed growth tracking experiments performed on WT plants as well as<em> iku2</em> and <em>ede1-3</em> mutants. Raw data from endosperm pressure measurements performed on WT plants and<em> iku2</em> mutants. Simulation results from a parameter space exploration of the system of ODEs we studied within the scope of the work described in the manuscript.
DOI: 10.5281/zenodo.7189313
title: Cutroses_genotypes_Wamhoff_et_al_ActaHort_2022

description: List of 96 cut roses and selected 12 genotypes from garden rose panel (Schulz et al. 2016).
DOI: 10.5281/zenodo.7189312
title: Cutroses_genotypes_Wamhoff_et_al_ActaHort_2022

description: List of 96 cut roses and selected 12 genotypes from garden rose panel (Schulz et al. 2016).
DOI: 10.5281/zenodo.7189380
title: HR-GLDD: A globally distributed high resolution landslide dataset

description: HR-GLDD, a high-resolution (HR) dataset for landslide mapping composed of landslide instances from ten different physiographical regions globally: South and South-East Asia, East Asia, South America, and Central America. The dataset contains five rainfall triggered and five earthquake-triggered multiple landslide events that occurred in varying geomorphological and topographical regions.
DOI: 10.15129/b883894e-434b-45ea-9b99-8db97081fea7
title: Data for: "Demonstration of a Quantum Gate using Electromagnetically Induced Transparency"

description: Data for manuscript "Demonstration of a Quantum Gate using Electromagnetically Induced Transparency" by K. McDonnell, L.F. Keary and J.D. Pritchard This repository contains 13 files, each representing data plotted in the paper is .csv format. An additional readme file describes the exact data in each column of the .csv files to aid reconstruction and plotting.
DOI: 10.6084/m9.figshare.21317436
title: HOME vs. ABAS vs. TADI

description: This dataset contains data of the Home Observation for Measurement of the Environment (HOME) scale, ABAS-II and TADI from children with Down Syndrome and typical development.
DOI: 10.5281/zenodo.7189417
title: Data for GRL submission

description: Continuous active source seismic monitoring data, which is a high-frequency time-lapse cross-well dataset with fixed source-receiver geometry for monitoring fractures.
DOI: 10.5281/zenodo.7189416
title: Data for GRL submission

description: Continuous active source seismic monitoring data, which is a high-frequency time-lapse cross-well dataset with fixed source-receiver geometry for monitoring fractures.
DOI: 10.6084/m9.figshare.21316554.v2
title: In vivo SERS nanosensor for plant signaling molecules

description: 1. TEM, SEM, CLSM image files 2. raw spectrum txt files 3. extra data for supplementary notes
DOI: 10.5281/zenodo.7189509
title: diFUME Leaf Area Index V0.1

description: Description: The Level 2A (L2A) product by the Theia Land Data Centre of CNES (Centre national d'études spatiales) is used, which provides georeferenced and orthorectified surface reflectance (SR), water vapor content (WVC), aerosol optical thickness (AOT), cloud and geophysical masks, processed by the MAJA atmospheric processing software. The 10 m SR bands in red (SRred : 665 nm) and near-infrared (SRNIR : 842 nm) are used to compute NDVI (Normalized Difference Vegetation Index) as (SRNIR – SRred)/(SRNIR + SRred) and the product is masked for clouds, cloud shadows and snow according to the L2A product flags. NDVI is converted to Leaf Area Index (LAI) values by applying an empirical exponential formula and is then resampled from 10 m to 5 m resolution, enhancing the initial LAI values, using the vegetation fraction derived by the 1 m Land Cover product. Data specifications: CRS: EPSG:32632 - WGS 84 / UTM zone 32N - Projected Spatial Extent: 392120.0,5266860.0 : 395160.0,5269840.0 Temporal Extent: 2018 - 2020 Units: meters Width: 608 Height: 596 Bands: 1 Pixel Size: 5,-5 Data type: Float32 - Thirty two bit floating point GDAL Driver Description: GTiff GDAL Driver Metadata: GeoTIFF
DOI: 10.5281/zenodo.7189508
title: diFUME Leaf Area Index V0.1

description: Description: The Level 2A (L2A) product by the Theia Land Data Centre of CNES (Centre national d'études spatiales) is used, which provides georeferenced and orthorectified surface reflectance (SR), water vapor content (WVC), aerosol optical thickness (AOT), cloud and geophysical masks, processed by the MAJA atmospheric processing software. The 10 m SR bands in red (SRred : 665 nm) and near-infrared (SRNIR : 842 nm) are used to compute NDVI (Normalized Difference Vegetation Index) as (SRNIR – SRred)/(SRNIR + SRred) and the product is masked for clouds, cloud shadows and snow according to the L2A product flags. NDVI is converted to Leaf Area Index (LAI) values by applying an empirical exponential formula and is then resampled from 10 m to 5 m resolution, enhancing the initial LAI values, using the vegetation fraction derived by the 1 m Land Cover product. Data specifications: CRS: EPSG:32632 - WGS 84 / UTM zone 32N - Projected Spatial Extent: 392120.0,5266860.0 : 395160.0,5269840.0 Temporal Extent: 2018 - 2020 Units: meters Width: 608 Height: 596 Bands: 1 Pixel Size: 5,-5 Data type: Float32 - Thirty two bit floating point GDAL Driver Description: GTiff GDAL Driver Metadata: GeoTIFF
DOI: 10.6084/m9.figshare.21317550.v1
title: Unigenes annotation of M. anguillicaudatus

description: Unigenes annotation of loach
DOI: 10.6084/m9.figshare.21317475.v1
title: Differentially expressed genes of O. niloticus F_brain-vs-M_brain

description: Differentially expressed genes between female and male brains of Nile tilapia
DOI: 10.6084/m9.figshare.21317454.v1
title: Differentially expressed genes of P. fulvidraco F_brain-vs-M_brain

description: Differentially expressed genes between female and male brains of yellow catfish
DOI: 10.6084/m9.figshare.21317451.v1
title: Differentially expressed genes of P. fulvidraco F_muscle-vs-M_muscle

description: Differentially expressed genes between female and male muscles of yellow catfish
DOI: 10.6084/m9.figshare.21317349.v1
title: Differentially expressed genes of C. semilaevis F_brain-vs-M_brain

description: Differentially expressed genes between female and male brains of half-smooth tongue sole
DOI: 10.6084/m9.figshare.21317139.v1
title: Differentially expressed genes of M. anguillicaudatus_F_muscle-vs-M_muscle

description: Differentially expressed genes between female and male muscles of loach
DOI: 10.6084/m9.figshare.21317073
title: Differentially expressed genes of M. anguillicaudatus F_brain-vs-M_brain

description: Differentially expressed genes between female and male brains of loach
DOI: 10.6084/m9.figshare.21317073.v1
title: Differentially expressed genes of M. anguillicaudatus F_brain-vs-M_brain

description: Differentially expressed genes between female and male brains of loach
DOI: 10.6084/m9.figshare.21316533
title: NMR raw data to article: Glycolytic flux control by drugging phosphoglycolate phosphatase

description: NMR raw datasets to publication: Glycolytic flux control by drugging phosphoglycolate phosphatase. Folders with raw data; each sample has two experiment numbers for the <sup>1</sup>H and <sup>31</sup>P experiments. Excel file contains NMR sample numbers for dataset identification, and corresponding metabolite concentration values based on raw data analysis.
DOI: 10.5517/ccdc.csd.cc27m2pn
title: CCDC 2073921: Experimental Crystal Structure Determination

description: Related Article: Silvia Schoch, Simona Braccini, Lorenzo Biancalana, Alessandro Pratesi, Tiziana Funaioli, Stefano Zacchini, Guido Pampaloni, Federica Chiellini, Fabio Marchetti|2022|Inorg.Chem.Front.|9|5118|doi:10.1039/D2QI00534D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27m2qp
title: CCDC 2073922: Experimental Crystal Structure Determination

description: Related Article: Silvia Schoch, Simona Braccini, Lorenzo Biancalana, Alessandro Pratesi, Tiziana Funaioli, Stefano Zacchini, Guido Pampaloni, Federica Chiellini, Fabio Marchetti|2022|Inorg.Chem.Front.|9|5118|doi:10.1039/D2QI00534D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29zhtm
title: CCDC 2144481: Experimental Crystal Structure Determination

description: Related Article: Anna E. Vartanova, Irina I. Levina, Nina K. Ratmanova, Ivan A. Andreev, Olga A. Ivanova, Igor V. Trushkov|2022|Org.Biomol.Chem.|20|7795|doi:10.1039/D2OB01490D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bsd5q
title: CCDC 2168393: Experimental Crystal Structure Determination

description: Related Article: Wanqi Sun, Yujie Jin, Yilian Wu, Wushuang Lou, Yanbin Yuan, Simon Duttwyler, Lingyao Wang, Yuanbin Zhang|2022|Inorg.Chem.Front.|9|5140|doi:10.1039/D2QI00890D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bsd6r
title: CCDC 2168394: Experimental Crystal Structure Determination

description: Related Article: Wanqi Sun, Yujie Jin, Yilian Wu, Wushuang Lou, Yanbin Yuan, Simon Duttwyler, Lingyao Wang, Yuanbin Zhang|2022|Inorg.Chem.Front.|9|5140|doi:10.1039/D2QI00890D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bsy14
title: CCDC 2168916: Experimental Crystal Structure Determination

description: Related Article: Lvnan Jin, Xuan Zhou, Yunbo Zhao, Jing Guo, Douglas W. Stephan|2022|Org.Biomol.Chem.|20|7781|doi:10.1039/D2OB01048H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bsy25
title: CCDC 2168917: Experimental Crystal Structure Determination

description: Related Article: Lvnan Jin, Xuan Zhou, Yunbo Zhao, Jing Guo, Douglas W. Stephan|2022|Org.Biomol.Chem.|20|7781|doi:10.1039/D2OB01048H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bsy36
title: CCDC 2168918: Experimental Crystal Structure Determination

description: Related Article: Lvnan Jin, Xuan Zhou, Yunbo Zhao, Jing Guo, Douglas W. Stephan|2022|Org.Biomol.Chem.|20|7781|doi:10.1039/D2OB01048H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bsy47
title: CCDC 2168919: Experimental Crystal Structure Determination

description: Related Article: Lvnan Jin, Xuan Zhou, Yunbo Zhao, Jing Guo, Douglas W. Stephan|2022|Org.Biomol.Chem.|20|7781|doi:10.1039/D2OB01048H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bsy58
title: CCDC 2168920: Experimental Crystal Structure Determination

description: Related Article: Lvnan Jin, Xuan Zhou, Yunbo Zhao, Jing Guo, Douglas W. Stephan|2022|Org.Biomol.Chem.|20|7781|doi:10.1039/D2OB01048H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bsy69
title: CCDC 2168921: Experimental Crystal Structure Determination

description: Related Article: Lvnan Jin, Xuan Zhou, Yunbo Zhao, Jing Guo, Douglas W. Stephan|2022|Org.Biomol.Chem.|20|7781|doi:10.1039/D2OB01048H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bsy7b
title: CCDC 2168922: Experimental Crystal Structure Determination

description: Related Article: Lvnan Jin, Xuan Zhou, Yunbo Zhao, Jing Guo, Douglas W. Stephan|2022|Org.Biomol.Chem.|20|7781|doi:10.1039/D2OB01048H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2byfb2
title: CCDC 2173234: Experimental Crystal Structure Determination

description: Related Article: Enric Clerich, Syrine Affès, Enriqueta Anticó, Xavier Fontrodona, Francesc Teixidor, Isabel Romero|2022|Inorg.Chem.Front.|9|5347|doi:10.1039/D2QI01504H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2byfc3
title: CCDC 2173235: Experimental Crystal Structure Determination

description: Related Article: Enric Clerich, Syrine Affès, Enriqueta Anticó, Xavier Fontrodona, Francesc Teixidor, Isabel Romero|2022|Inorg.Chem.Front.|9|5347|doi:10.1039/D2QI01504H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.