cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23118758.v6
title: SNGNN

description: An improved graph neural network (GNN) and a self and neighborhood merged graph neural network (SNGNN) were proposed. "SNGNN.py" is the proposed model. "attribute417.csv" and "edgeattribute417.csv" are the node feature file and edge feature file requiredas input to the SNGNN mode respectively. “Focalloss.py”和“configure.py” are the required support files for the SNGNN model. "modelconstract.py" and "modelML.py" are the codes needed for the comparison experiment. "requirements.txt" is the environment profile required for model training. <br> <br>
DOI: 10.6084/m9.figshare.23118758.v5
title: SNGNN

description: An improved graph neural network (GNN) and a self and neighborhood merged graph neural network (SNGNN) were proposed. "SNGNN.py" is the proposed model. "attribute417.csv" and "edgeattribute417.csv" are the node feature file and edge feature file requiredas input to the SNGNN mode respectively. “Focalloss.py”和“configure.py” are the required support files for the SNGNN model. "modelconstract.py" and "modelML.py" are the codes needed for the comparison experiment. "requirements.txt" is the environment profile required for model training. <br> <br>
DOI: 10.5281/zenodo.6365300
title: StereoPIXE

description: SteroPIXE measurements at MIC, IJS.
DOI: 10.5281/zenodo.6365299
title: StereoPIXE

description: SteroPIXE measurements at MIC, IJS.
DOI: 10.5281/zenodo.8006450
title: Dataset to "Fluorescence Bar-coding and Flowmetry based on Dark State Transitions in Fluorescence Emitters"

description: <strong>This folder contains all raw data underlying the results presented in a manuscript, submitted for publication to <em>Journal of Physical Chemistry B</em>, and entitled:</strong> <strong>Fluorescence Bar-coding and Flowmetry based on Dark State Transitions in Fluorescence Emitters</strong> <strong>Authored by:</strong> B. Demirbay‡, E. Sandberg‡, J. Piguet, J. Widengren* Royal Institute of Technology (KTH), Experimental Biomolecular Physics, Dept. Applied Physics, Albanova University Center 106 91 Stockholm, Sweden ‡Contributed equally. *Corresponding Author: Email: jwideng@kth.se, Phone: +46-8-7907813 <strong>The data files are grouped into the different techniques used to generate them, and refer to the figures/tables in the manuscript where the extracted results are presented.</strong> <strong>ABSTRACT</strong> Reversible dark state transitions in fluorophores represent a limiting factor in fluorescence-based ultrasensitive spectroscopy, is a necessary basis for fluorescence-based super-resolution imaging, but may also offer additional, largely orthogonal fluorescence-based readout parameters. In this work, we analyzed the blinking kinetics of Cyanine5 (Cy5) as a bar-coding feature distinguishing Cy5 from rhodamine fluorophores having largely overlapping emission spectra. First, fluorescence correlation spectroscopy (FCS) solution measurements on mixtures of free fluorophores and fluorophore-labeled small unilamellar vesicles (SUVs) showed that Cy5 could be readily distinguished from the rhodamines by its reversible, largely excitation-driven <em>trans-cis</em> isomerization. This was next confirmed by transient state (TRAST) spectroscopy measurements, determining the fluorophore dark state kinetics in a more robust manner, from how the time-averaged fluorescence intensity varies upon modulation of the applied excitation light. TRAST was then combined with wide-field imaging of live cells, whereby Cy5 and rhodamine fluorophores could be distinguished on a whole cell level, as well as in spatially resolved, multiplexed images of the cells. Finally, we established a microfluidic TRAST concept, and showed how different mixtures of free Cy5 and rhodamine fluorophores and corresponding fluorophore-labeled SUVs could be distinguished on-the-fly when passing through a microfluidic channel. In contrast to FCS, TRAST does not rely on single-molecule detection conditions or a high time-resolution and is thus broadly applicable on different biological samples. Therefore, we expect that the bar-coding concept presented in this work can offer an additional, useful strategy for fluorescence-based multiplexing, implementable on a broad range of both stationary and moving samples.
DOI: 10.5281/zenodo.8006451
title: Dataset to "Fluorescence Bar-coding and Flowmetry based on Dark State Transitions in Fluorescence Emitters"

description: <strong>This folder contains all raw data underlying the results presented in a manuscript, submitted for publication to <em>Journal of Physical Chemistry B</em>, and entitled:</strong> <strong>Fluorescence Bar-coding and Flowmetry based on Dark State Transitions in Fluorescence Emitters</strong> <strong>Authored by:</strong> B. Demirbay‡, E. Sandberg‡, J. Piguet, J. Widengren* Royal Institute of Technology (KTH), Experimental Biomolecular Physics, Dept. Applied Physics, Albanova University Center 106 91 Stockholm, Sweden ‡Contributed equally. *Corresponding Author: Email: jwideng@kth.se, Phone: +46-8-7907813 <strong>The data files are grouped into the different techniques used to generate them, and refer to the figures/tables in the manuscript where the extracted results are presented.</strong> <strong>ABSTRACT</strong> Reversible dark state transitions in fluorophores represent a limiting factor in fluorescence-based ultrasensitive spectroscopy, is a necessary basis for fluorescence-based super-resolution imaging, but may also offer additional, largely orthogonal fluorescence-based readout parameters. In this work, we analyzed the blinking kinetics of Cyanine5 (Cy5) as a bar-coding feature distinguishing Cy5 from rhodamine fluorophores having largely overlapping emission spectra. First, fluorescence correlation spectroscopy (FCS) solution measurements on mixtures of free fluorophores and fluorophore-labeled small unilamellar vesicles (SUVs) showed that Cy5 could be readily distinguished from the rhodamines by its reversible, largely excitation-driven <em>trans-cis</em> isomerization. This was next confirmed by transient state (TRAST) spectroscopy measurements, determining the fluorophore dark state kinetics in a more robust manner, from how the time-averaged fluorescence intensity varies upon modulation of the applied excitation light. TRAST was then combined with wide-field imaging of live cells, whereby Cy5 and rhodamine fluorophores could be distinguished on a whole cell level, as well as in spatially resolved, multiplexed images of the cells. Finally, we established a microfluidic TRAST concept, and showed how different mixtures of free Cy5 and rhodamine fluorophores and corresponding fluorophore-labeled SUVs could be distinguished on-the-fly when passing through a microfluidic channel. In contrast to FCS, TRAST does not rely on single-molecule detection conditions or a high time-resolution and is thus broadly applicable on different biological samples. Therefore, we expect that the bar-coding concept presented in this work can offer an additional, useful strategy for fluorescence-based multiplexing, implementable on a broad range of both stationary and moving samples.
DOI: 10.5517/ccdc.csd.cc2929j7
title: CCDC 2117378: Experimental Crystal Structure Determination

description: Related Article: Hao Yu, Yu-Diao Lin, Zheng-Yi Liu, Yan-Qiong Sun, Shou-Tian Zheng|2022|Inorg.Chem.|61|8112|doi:10.1021/acs.inorgchem.2c00705
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.cc2c5qq0
title: CCDC 2180252: Experimental Crystal Structure Determination

description: Related Article: Shubham Deolka, Ramadoss Govindarajan, Serhii Vasylevskyi, Michael C Roy, Julia R Khusnutdinova, Eugene Khaskin|2023|CSD Communication|||
description: Related Article: Shubham Deolka, Ramadoss Govindarajan, Serhii Vasylevskyi, Michael C. Roy, Julia R. Khusnutdinova, Eugene Khaskin|2022|Chemical Science|13|12971|doi:10.1039/D2SC03879J
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.cc2bfnhy
title: CCDC 2158080: Experimental Crystal Structure Determination

description: Related Article: yunlong wei|2023|CSD Communication|||
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.cc2d2mbg
title: CCDC 2207055: Experimental Crystal Structure Determination

description: Related Article: Christopher Golz|2023|CSD Communication|||
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.cc2d2mch
title: CCDC 2207056: Experimental Crystal Structure Determination

description: Related Article: Christopher Golz|2023|CSD Communication|||
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.cc2dm4hp
title: CCDC 2222932: Experimental Crystal Structure Determination

description: Related Article: Christopher Golz|2023|CSD Communication|||
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.cc2dm4jq
title: CCDC 2222933: Experimental Crystal Structure Determination

description: Related Article: Christopher Golz|2023|CSD Communication|||
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.cc2brqtn
title: CCDC 2167762: Experimental Crystal Structure Determination

description: Related Article: Benjamin R. Boswell, Carl M. F. Mansson, Gabrielle E. Cabrera, Calvin R. Hansen, Allen G. Oliver, Noah Z. Burns|2023|J.Am.Chem.Soc.|145|5631|doi:10.1021/jacs.3c01591
description: Related Article: Noah Burns, Benjamin Boswell, Carl Mansson, Gabrielle Cabrera, Calvin Hansen, Allen Oliver|2023|CSD Communication|||
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.cc2f7z4t
title: CCDC 2241986: Experimental Crystal Structure Determination

description: Related Article: Yushi Liang, Yumeng Liang, Jingwen Chen, Mingjie Liu, Zhenghua Zhao, Zongbi Bao, Qiwei Yang, Qilong Ren, Zhiguo Zhang|2023|Tetrahedron Lett.|122|154492|doi:10.1016/j.tetlet.2023.154492
description: Related Article: Yushi Liang, Mingjie Liu, Zhenghua Zhao, Zongbi Bao, Qiwei Yang, Yiwen Yang, Qilong Ren, Zhiguo Zhang|2023|CSD Communication|||
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.cc2f7zd2
title: CCDC 2241994: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Glushkov, Vera S. Pelykh, Maksim V. Dmitriev|2023|CSD Communication|||
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.cc2f8nr4
title: CCDC 2242656: Experimental Crystal Structure Determination

description: Related Article: Roger Lalancette, Ivan Bernal, Maya Ossman|2023|CSD Communication|||
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.cc2f8p4k
title: CCDC 2242668: Experimental Crystal Structure Determination

description: Related Article: Michael J. Zuraw and Bruce M. Foxman|2023|CSD Communication|||
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.cc2fb2hc
title: CCDC 2244012: Experimental Crystal Structure Determination

description: Related Article: Francesco  Fagnani|2023|CSD Communication|||
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.cc2fb2vq
title: CCDC 2244023: Experimental Crystal Structure Determination

description: Related Article: Donna J. Guarrera, John L. Warner and Bruce M. Foxman|2023|CSD Communication|||
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.cc2fb2wr
title: CCDC 2244024: Experimental Crystal Structure Determination

description: Related Article: Donna J. Guarrera, John C. Warner and Bruce M. Foxman|2023|CSD Communication|||
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.cc2f9xnb
title: CCDC 2243862: Experimental Crystal Structure Determination

description: Related Article: mingyue zhang|2023|CSD Communication|||
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.cc2fb330
title: CCDC 2244031: Experimental Crystal Structure Determination

description: Related Article: Donna J. Guarrera, John C. Warner and Bruce M. Foxman|2023|CSD Communication|||
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.cc2fb40y
title: CCDC 2244059: Experimental Crystal Structure Determination

description: Related Article: ganesh sorabad|2023|CSD Communication|||
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.cc2f88dd
title: CCDC 2242273: Experimental Crystal Structure Determination

description: Related Article: Tetsuya Miyano|2023|CSD Communication|||
description: Related Article: Hiroki Tachibana, Shota Uehara, Yuuto Uno, Kenji Nakahara, Yoshiyuki Taoda, Koji Kasamatsu, Yuko Yamazu, Shigeru Ando, Atsuhiro Iimuro, Takahiro Sudo, Dojin Sasaki|2022|U.S.Patents|||
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.cc2g07zq
title: CCDC 2264363: Experimental Crystal Structure Determination

description: Related Article: Anthony Linden, Lukas Hoff, Karl Gademann|2023|CSD Communication|||
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.cc2g0kxz
title: CCDC 2264671: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2023|CSD Communication|||
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: 10.5281/zenodo.8013395
title: In-situ data

description: The data collected in the western South China Sea from August 10th to 25th, 2021, consists of measurements obtained using CTD (Conductivity-Temperature-Depth) and ADCP (Acoustic Doppler Current Profiler) instruments. The data is saved in mat format. The CTD instrument used was the SBE 911plus, a direct-reading CTD profiler manufactured by Seabird Company. The ADCP instrument operated at a frequency of 38kHz and was used for ship-mounted current observations, with a measurement depth of up to 800 meters. The CTD.mat file contains temperature (tem), salinity (sal), density (in_site_density), depth (dep), and latitude-longitude (lon, lat) data recorded during the field observations. A total of 30 stations are included in this dataset, with station numbers indicated at the end of the variable names. The data resolution is 5 meters. The ADCP.mat file contains eastward velocity (SerEmmpersec), northward velocity (SerNmmpersec), total velocity (SerMagmmpersec), and velocity direction (SerDir10thDeg) recorded by the 38kHz ADCP. It also includes longitude (AnFLonDeg for starting longitude, AnLLonDeg for ending longitude) and latitude (AnFLatDeg for starting latitude, AnLLatDeg for ending latitude) information during data acquisition. The data in the ADCP.mat file represents long-term averages within a 5-minute period, with SerYear, SerMon, SerDay, SerHour, SerMin, and SerSec denoting the year, month, day, hour, minute, and second of the ADCP record (UTM+0), respectively. The vertical data layers are spaced at intervals of 80 meters, and SerDepth records the depth of each layer.
DOI: 10.5281/zenodo.8013394
title: In-situ data

description: The data collected in the western South China Sea from August 10th to 25th, 2021, consists of measurements obtained using CTD (Conductivity-Temperature-Depth) and ADCP (Acoustic Doppler Current Profiler) instruments. The data is saved in mat format. The CTD instrument used was the SBE 911plus, a direct-reading CTD profiler manufactured by Seabird Company. The ADCP instrument operated at a frequency of 38kHz and was used for ship-mounted current observations, with a measurement depth of up to 800 meters. The CTD.mat file contains temperature (tem), salinity (sal), density (in_site_density), depth (dep), and latitude-longitude (lon, lat) data recorded during the field observations. A total of 30 stations are included in this dataset, with station numbers indicated at the end of the variable names. The data resolution is 5 meters. The ADCP.mat file contains eastward velocity (SerEmmpersec), northward velocity (SerNmmpersec), total velocity (SerMagmmpersec), and velocity direction (SerDir10thDeg) recorded by the 38kHz ADCP. It also includes longitude (AnFLonDeg for starting longitude, AnLLonDeg for ending longitude) and latitude (AnFLatDeg for starting latitude, AnLLatDeg for ending latitude) information during data acquisition. The data in the ADCP.mat file represents long-term averages within a 5-minute period, with SerYear, SerMon, SerDay, SerHour, SerMin, and SerSec denoting the year, month, day, hour, minute, and second of the ADCP record (UTM+0), respectively. The vertical data layers are spaced at intervals of 80 meters, and SerDepth records the depth of each layer.
DOI: 10.48677/da5489f5-0873-458c-bdd0-745a12445252
title: Kartographisches Modell 1:250 000 Raster UTM32 Stichtag 01.01.2023

description: Das Kartographische Modell 1:250 000 - Raster (KM250-R) ist das vom Datenbestand des KM250-V gerasterte Abbild des gesamten österreichischen Staatsgebietes im Maßstab 1:250 000. Es liegt blattschnittfrei und georeferenziert vor. Die Aktualisierung erfolgt auf Basis des KM250-V laufend nach für diesen Maßstab relevanten Veränderungsinformationen.
 
 Die Kartographischen Modelle - Raster (KM-R) werden durch folgende Themen strukturiert:
 • Aufdruck
 • Gewässer
 • Höhenschichtlinien
 • Relief
 • Situation
 • Wald

Stichtag = Erstellungsdatum:
Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.