cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27jnk0
title: CCDC 2071592: Experimental Crystal Structure Determination

description: Related Article: Lee, Hee-Seung, Jeong, Rokam, Kang, Minsang, Kim, Jaewook|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.cc29grxg
title: CCDC 2129356: Experimental Crystal Structure Determination

description: Related Article: Yixin He|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.cc29gryh
title: CCDC 2129357: Experimental Crystal Structure Determination

description: Related Article: Yixin He|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.cc26s2nr
title: CCDC 2048934: Experimental Crystal Structure Determination

description: Related Article: Rajakannu Palanisamy|2023|CSD Communication|||
description: Related Article: Palanisamy Rajakannu, Woochan Lee, Sanghoon Park, Hyung Suk Kim, Hanif Mubarok, Min Hyung Lee, Seunghyup Yoo|2023|Adv.Funct.Mater.|33|2211853|doi:10.1002/adfm.202211853
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.cc2d86b7
title: CCDC 2212418: Experimental Crystal Structure Determination

description: Related Article: A. K. Bauri, Foro Sabine, Foro, A. F. M. M. Rahman|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.cc2d8742
title: CCDC 2212443: Experimental Crystal Structure Determination

description: Related Article: Ajoy Kumar  Bauri, Sabine Foro|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.cc2djttl
title: CCDC 2220710: Experimental Crystal Structure Determination

description: Related Article: Seja A. Elgadi, Don M. Mayder, Ryoga Hojo, Zachary M. Hudson|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.cc2djtvm
title: CCDC 2220711: Experimental Crystal Structure Determination

description: Related Article: Seja A. Elgadi, Don M. Mayder, Ryoga Hojo, Zachary M. Hudson|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.cc2djtxp
title: CCDC 2220713: Experimental Crystal Structure Determination

description: Related Article: Seja A. Elgadi, Don M. Mayder, Ryoga Hojo, Zachary M. Hudson|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.cc2djtyq
title: CCDC 2220714: Experimental Crystal Structure Determination

description: Related Article: Seja A. Elgadi, Don M. Mayder, Ryoga Hojo, Zachary M. Hudson|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.cc2f5xsb
title: CCDC 2240022: Experimental Crystal Structure Determination

description: Related Article: Chandan  Kumar Giri, Sudeshna Mondal, Mahiuddin Baidya|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: 10.11583/dtu.13142858.v1
title: Grid Frequency Measurements of the Japanese (Tokyo area) Power System during 2017

description: Grid frequency measured for 42 days during 2017 in Japan, with sampling rate of 3 samples per second.<br>Data provided includes one column with the UNIX timestamp in milliseconds and one column with the frequency measurement in Hz.
DOI: 10.25345/c5416t897
title: MassIVE MSV000092409 - HeLa std samples enriched for PPs for ISTA
title: 3 HeLa measurements: The two 'HeLa_fosz_375ng' samples and the samples we sent you are the same, only they were measured at a different time. Sample 'HLB_3' is 1 ug of enriched HeLa prepared in a different cohort.
DOI: 10.1285/i9788883051944p115
title: Papers, Please: una rappresentazione dello stato burocratico

description: L'obiettivo del paper è quello di esplorare l'opera di Lucas Pope, "Papers, Please" quale oggetto sociale e culturale, analizzando lo spazio di intersezione tra gli aspetti fondamentali del medium: utilizzando quindi un approccio che integri narrazione, struttura ludica (game design) e interazione. Mantenendo sullo sfondo l'analisi di Weber sulla burocrazia analizzerò il contenuto narrativo dell'opera e come si integra sul piano strutturale e su quello dell'interazione per poi interpretare, alla luce dell'analisi weberiana il messaggio contenuto nell'opera. Il paper sarà diviso in tre parti: nella prima verrà descritta l'opera nelle sue componenti narrative e strutturali compresa la dimensione etica particolarmente significativa all'interno dell'opera, nella seconda verrà analizzato il materiale empirico alla luce dello stato dell'arte e dei riferimenti teorici e contestuali fondanti l'interpretazione e nel terzo paragrafo sarà esplicitata la relazione tra narrazione, teoria e analisi alla luce delle caratteristiche della burocrazia moderna proposte da Max Weber in "Economia e Società".
description: The aim of the paper is to explore Lucas Pope's video game opera "Papers, Please" as a social and cultural object, analysing the intersection space between the fundamental aspects of the medium: using an approach that integrates narrative, game structure (game design) and interaction. Keeping Weber's analysis of bureaucracy in the background, I will analyse the narrative content of the work and how it is integrated on the structural level and on the level of interaction and then interpret, in accordance with Weber's analysis, the message contained in the work. The paper is divided into three parts: in the first, the work will be described in its narrative and structural components, including the ethical dimension; in the second, the empirical material will be analysed in relation to the state of the art and the theoretical and contextual references that underpin the interpretation; and in the third section, the relationship between narrative, theory and analysis will be made explicit in view of the characteristics of modern bureaucracy proposed by Max Weber in "Economy and Society".
DOI: 10.1285/i9788883051944p129
title: Le autrici e gli autori
DOI: 10.1285/i9788883051944p131
title: Colophon
DOI: 10.11583/dtu.14827581
title: Data for: Insights into Water Mass Origins in the Central Arctic Ocean from in-situ Dissolved 3 Organic Matter Fluorescence

description: Here we present a merged and calibrated dataset of temperature, practical salinity and dissolved organic matter (DOM) fluorescence obtained from several Ice Tethered Profilers (ITPs) deployed across the central Arctic (2011-2016). The data offer a unique spatial coverage of the distribution of DOM in the surface 800 m below Arctic sea ice. A total of 5044 profiles are gathered. The ITP data are level 3 data products pressure-bin-averaged at 1-db vertical resolution with depth down to either 200 or approximately 750 m. Data (max 800m depth) from CTD casts made during two oceanographic cruises are also included. These were used as part of the calibration and validation of the ITP calibration routines. The cruises were PS94 (ARK-XXIX/3) with POLARSTERN in 2015 and NAACOS with DANA in 2012. The presented DOM fluorescence data are smoothed, corrected for instrument drift and calibrated to provide intercomparable data across the sensors. Fluorescence is reported in Raman Units (nm-1), and comparable to laboratory measurements conducted according to current community recommendations.
DOI: 10.11583/dtu.14827581.v1
title: Data for: Insights into Water Mass Origins in the Central Arctic Ocean from in-situ Dissolved 3 Organic Matter Fluorescence

description: Here we present a merged and calibrated dataset of temperature, practical salinity and dissolved organic matter (DOM) fluorescence obtained from several Ice Tethered Profilers (ITPs) deployed across the central Arctic (2011-2016). The data offer a unique spatial coverage of the distribution of DOM in the surface 800 m below Arctic sea ice. A total of 5044 profiles are gathered. The ITP data are level 3 data products pressure-bin-averaged at 1-db vertical resolution with depth down to either 200 or approximately 750 m. Data (max 800m depth) from CTD casts made during two oceanographic cruises are also included. These were used as part of the calibration and validation of the ITP calibration routines. The cruises were PS94 (ARK-XXIX/3) with POLARSTERN in 2015 and NAACOS with DANA in 2012. The presented DOM fluorescence data are smoothed, corrected for instrument drift and calibrated to provide intercomparable data across the sensors. Fluorescence is reported in Raman Units (nm-1), and comparable to laboratory measurements conducted according to current community recommendations.
DOI: 10.5281/zenodo.6983029
title: Hong Kong Jellyfish Project Participation Survey Outreach and Responses

description: Compiled Hong Kong Jellyfish Project 2021 translated outreach letters and participation survey questions - This file contains the outreach letters (in English and Traditional Chinese) that were sent to observers who submitted observations to the Hong Kong Jellyfish Project website (www.hkjellyfish.com) and iNaturalist project in 2021. Hong Kong Jellyfish Project 2021 Participation Survey Answers Dataset - This file contains the answers given by participants to the 2021 Participation Survey from the Hong Kong Jellyfish Project. Hong Kong Jellyfish Project 2022 Participation Survey Answers Dataset - This file contains the answers given by participants to the 2022 Participation Survey from the Hong Kong Jellyfish Project.
DOI: 10.5281/zenodo.6983030
title: Hong Kong Jellyfish Project Participation Survey Outreach and Responses

description: Compiled Hong Kong Jellyfish Project 2021 translated outreach letters and participation survey questions - This file contains the outreach letters (in English and Traditional Chinese) that were sent to observers who submitted observations to the Hong Kong Jellyfish Project website (www.hkjellyfish.com) and iNaturalist project in 2021. Hong Kong Jellyfish Project 2021 Participation Survey Answers Dataset - This file contains the answers given by participants to the 2021 Participation Survey from the Hong Kong Jellyfish Project.
DOI: 10.5281/zenodo.8138056
title: Hong Kong Jellyfish Project Participation Survey Outreach and Responses

description: Compiled Hong Kong Jellyfish Project 2021 translated outreach letters and participation survey questions - This file contains the outreach letters (in English and Traditional Chinese) that were sent to observers who submitted observations to the Hong Kong Jellyfish Project website (www.hkjellyfish.com) and iNaturalist project in 2021. Hong Kong Jellyfish Project 2021 Participation Survey Answers Dataset - This file contains the answers given by participants to the 2021 Participation Survey from the Hong Kong Jellyfish Project. Hong Kong Jellyfish Project 2022 Participation Survey Answers Dataset - This file contains the answers given by participants to the 2022 Participation Survey from the Hong Kong Jellyfish Project.
DOI: 10.5281/zenodo.8138095
title: Deliverable 3.4: Report of modelling flow batteries with the solid boosters

description: Data for reproducing the results presented in Deliverable 3.4 "Report of modelling flow batteries with the solid boosters" belonging to the CompBat EU project, DOI:10.3030/875565
DOI: 10.5281/zenodo.8138094
title: Deliverable 3.4: Report of modelling flow batteries with the solid boosters

description: Data for reproducing the results presented in Deliverable 3.4 "Report of modelling flow batteries with the solid boosters" belonging to the CompBat EU project, DOI:10.3030/875565
DOI: 10.34740/kaggle/ds/3471234
title: Walmart Condensed Sales Data
DOI: 10.5281/zenodo.8137913
title: List of geomagnetic storms for the period September 2012 - July, 2019

description: The following dataset includes the epoch times and corresponding Sym-H minima for the 144 geomagnetic storms identified between September 2012 and July 2019.
DOI: 10.5281/zenodo.8137912
title: List of geomagnetic storms for the period September 2012 - July, 2019

description: The following dataset includes the epoch times and corresponding Sym-H minima for the 144 geomagnetic storms identified between September 2012 and July 2019.
DOI: 10.11583/dtu.14695590
title: Magnetic field gradient tensor time series

description: <strong>Description of dataset:</strong> CDF dataset contains 4-monthly time series of the magnetic field gradient tensor elements, the secular variation field gradient tensor elements, and their associated error estimates, all provided in a global grid of 300 Geomagnetic Virtual Observatories. <br> GVOs from Swarm satellite data (extending to 2022): SW_OPER_GVOBS_4M_2_20140301T000000_20220301T000000_0202.cdf<br> GVOs from CHAMP satellite data: CH_OPER_GVOBS_4M_2_20010301T000000_20100701T000000_0201.cdf <br> The ReadMe.txt file provides details on the datasets and how these are made, version, changelog. In addition, the script GVOgradient_ex.ipynb provides a simple example of how to load and plot the CDF files in Python. <br> The algorithms used to derive the GVO gradient data products are explained in detail in the reference below. <br> <strong>Reference:</strong> Hammer, M. D, Finlay, C. C, and Olsen, N. (2021) 'Secular Variation Signals in Magnetic Field Gradient Tensor Elements derived from satellite-based Geomagnetic Virtual Observatories', <em>Geophysical Journal International</em>, Vol.229, Issue 3, June 2022, 2096–2114
DOI: 10.5281/zenodo.8137936
title: RELATIONSHIP BETWEEN INTENSITY MODULATED RADIOTHERAPY FOR BUCCAL MUCOSAL TUMORS AND DRY EYE

description: DATA SET
DOI: 10.5281/zenodo.8137935
title: RELATIONSHIP BETWEEN INTENSITY MODULATED RADIOTHERAPY FOR BUCCAL MUCOSAL TUMORS AND DRY EYE

description: DATA SET
DOI: 10.11583/dtu.22325377
title: Tire volume velocity source - Uniform linear array responses (HBK)

description: This dataset consists of acoustic impulse responses (AIRs) measured at Hottinger Brüel \& Kjær in Virum, Denmark. These AIRs were captured using a linear array of 11 microphones, which were shifted away from a volume velocity source (a Brüel \& Kjær Omni-source placed inside of a car tyre) in regular steps of 0.1 m, resulting in a total of 99 measurement positions. The source was also shifted around the tyre in 17 equiangular positions, and the AIRs were captured using the Maximum Length Sequence (MLS) method with a pink noise signal. Finally, a reference microphone was used to capture the far field contributions of the source and potentially used as validation. The layout of the HBK measurement can be seen in the layout figure (measurment_layout.png). <br> The data are available as H5 (Hierarchical Data Formats) with the following structure: Dataset "HBK data - HDF5 datastructure"<br> Dataset.attributes<br> ├── disambiguate_measurement_data (1) 'Nsources x Npositions x Nmics x Ntaps'<br> └── fs (1) 8000<br> ├── measurement_data (17x9x11x2000) float64<br> ├── mic_coords (9x11x2) float64<br> ├── ref_pos (2x1) float64<br> ├── reference_data (17x2000) float64<br> └── src_pos (2x17) float64<br> Use with Matlab: https://mathworks.com/help/matlab/hdf5-files.html Use with Python: https://docs.h5py.org/en/stable/<br> This dataset is part of the project <em>Danish Sound Cluster </em>project titled "<strong>Physics-informed Neural Networks for Sound Field Reconstruction</strong>" [url]. Find more datasets here: Project Page
DOI: 10.11583/dtu.22325377.v1
title: Tire volume velocity source - Uniform linear array responses (HBK)

description: This dataset consists of acoustic impulse responses (AIRs) measured at Hottinger Brüel \& Kjær in Virum, Denmark. These AIRs were captured using a linear array of 11 microphones, which were shifted away from a volume velocity source (a Brüel \& Kjær Omni-source placed inside of a car tyre) in regular steps of 0.1 m, resulting in a total of 99 measurement positions. The source was also shifted around the tyre in 17 equiangular positions, and the AIRs were captured using the Maximum Length Sequence (MLS) method with a pink noise signal. Finally, a reference microphone was used to capture the far field contributions of the source and potentially used as validation. The layout of the HBK measurement can be seen in the layout figure (measurment_layout.png). <br> The data are available as H5 (Hierarchical Data Formats) with the following structure: Dataset "HBK data - HDF5 datastructure"<br> Dataset.attributes<br> ├── disambiguate_measurement_data (1) 'Nsources x Npositions x Nmics x Ntaps'<br> └── fs (1) 8000<br> ├── measurement_data (17x9x11x2000) float64<br> ├── mic_coords (9x11x2) float64<br> ├── ref_pos (2x1) float64<br> ├── reference_data (17x2000) float64<br> └── src_pos (2x17) float64<br> Use with Matlab: https://mathworks.com/help/matlab/hdf5-files.html Use with Python: https://docs.h5py.org/en/stable/<br> This dataset is part of the project <em>Danish Sound Cluster </em>project titled "<strong>Physics-informed Neural Networks for Sound Field Reconstruction</strong>" [url]. Find more datasets here: XXX
DOI: 10.11583/dtu.22325377.v2
title: Tire volume velocity source - Uniform linear array responses (HBK)

description: This dataset consists of acoustic impulse responses (AIRs) measured at Hottinger Brüel \& Kjær in Virum, Denmark. These AIRs were captured using a linear array of 11 microphones, which were shifted away from a volume velocity source (a Brüel \& Kjær Omni-source placed inside of a car tyre) in regular steps of 0.1 m, resulting in a total of 99 measurement positions. The source was also shifted around the tyre in 17 equiangular positions, and the AIRs were captured using the Maximum Length Sequence (MLS) method with a pink noise signal. Finally, a reference microphone was used to capture the far field contributions of the source and potentially used as validation. The layout of the HBK measurement can be seen in the layout figure (measurment_layout.png). <br> The data are available as H5 (Hierarchical Data Formats) with the following structure: Dataset "HBK data - HDF5 datastructure"<br> Dataset.attributes<br> ├── disambiguate_measurement_data (1) 'Nsources x Npositions x Nmics x Ntaps'<br> └── fs (1) 8000<br> ├── measurement_data (17x9x11x2000) float64<br> ├── mic_coords (9x11x2) float64<br> ├── ref_pos (2x1) float64<br> ├── reference_data (17x2000) float64<br> └── src_pos (2x17) float64<br> Use with Matlab: https://mathworks.com/help/matlab/hdf5-files.html Use with Python: https://docs.h5py.org/en/stable/<br> This dataset is part of the project <em>Danish Sound Cluster </em>project titled "<strong>Physics-informed Neural Networks for Sound Field Reconstruction</strong>" [url]. Find more datasets here: Project Page
DOI: 10.11583/dtu.11363198
title: Data for the optimization model for the integration of heat sources and sinks into district heating and cooling

description: The optimization model was developed in the General Algebraic Modelling System (GAMS, version 24.8.3) using the CPLEX solver, version 12.7.0.0. The software code can be found at the provided link. Input data can be found here. <br>The purpose of the model is to investigate which heat sources, heat sinks and/or combination of them are best suited for heat pumps and chillers to supply district heating and cooling. Mixed-integer linear programming was used to carry out an annual optimization on an hourly basis to minimize total annualized costs. The model takes investment costs, operating and maintenance (O&M) costs, short-term hot and cold water storage, seasonal temperature variations of heat sources, heat sinks and the district heating network, capacity limitations of the heat sources/sinks as well as the distance from the heat sources/sinks to the district heating and cooling network into account. The model was developed with the intention of using it during an early planning stage of a new district heating and/or district cooling area when details about required production capacity are unknown and no decision about the heat source and heat sink has been made.<br>