cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1492327
title: Word Formation Latin (WFL)

description: Word Formation Latin (WFL).
description: {"references": ["Culy, C., Litta, E., Passarotti, M. (2017) 'Visual Exploration of Latin Derivational Morphology', The AAAI Press, pp. 601-606. http://hdl.handle.net/10807/102459", "Budassi, M., Litta, E. (2017) 'In Trouble with the Rules. Theoretical Issues Raised by the Insertion of-sc-Verbs into Word Formation Latin', Proceedings of the Workshop on Resources and Tools for Derivational Morphology (DeriMo), pp. 15-26.", "Litta, E., Passarotti, M., Culy, C., Ruffolo, P. (2017) 'Exploring Word Formation Latin', Digital Humanities Conference 2017 Book of Abstracts. https://dh2017.adho.org/abstracts/085/085.pdf", "Litta, E., Passarotti, M., Culy, C. (2016) 'Formatio formosa est. Building a Word Formation Lexicon for Latin', Proceedings of the Third Italian Conference on Computational Linguistics (CLiC\u2013it 2016), pp. 185-189.", "Litta, E., Passarotti, M. (2016) 'Morphology beyond inflection. Building a wordformation based dictionary for Latin', Digital Humanities Conference 2016 Book of Abstracts, pp. 612-614. http://hdl.handle.net/10807/99778"]}
DOI: 10.5281/zenodo.8037443
title: SciExpeM - 10.5281/zenodo.8037443

description: Balaya, Palani - Energy & Environmental Science, 2008, (1), 645
DOI: 10.5281/zenodo.8037442
title: SciExpeM - 10.5281/zenodo.8037443

description: Balaya, Palani - Energy & Environmental Science, 2008, (1), 645
DOI: 10.5281/zenodo.8036953
title: ENDGAME - Laboratory Experiment 2022-11-29 Exp. 005 - Part 2 - High Speed Camera data

description: Preliminary test with high speed camera and Schlieren shadow photography. Images of the injection of air in a 2D setup obtained using 2 parallel glass sheets (3 mm thickness) separated by rubber seals and filled with a viscous fluid. The viscous fluid is obtained mixing distilled water with a hair gel (2/3 distilled water, 1/3 hair gel). The gap between the two parallel sheets is 3 mm. Air was injected into the 2D setup through a capillary tube (~2 mm diam) with constant flow rate (~13x10<sup>-3 </sup>l/s). Frame rate of the high speed camera is 250 fps. The spherical mirror has been covered in order to acquire only optical images and compare them with the corresponding Schlieren shadow photography images (ENDGAME_LabExp_HighSpeedCamera_20221129_003_XXX and ENDGAME_LabExp_HighSpeedCamera_20221129_004_XXX).
DOI: 10.5281/zenodo.8036952
title: ENDGAME - Laboratory Experiment 2022-11-29 Exp. 005 - Part 2 - High Speed Camera data

description: Preliminary test with high speed camera and Schlieren shadow photography. Images of the injection of air in a 2D setup obtained using 2 parallel glass sheets (3 mm thickness) separated by rubber seals and filled with a viscous fluid. The viscous fluid is obtained mixing distilled water with a hair gel (2/3 distilled water, 1/3 hair gel). The gap between the two parallel sheets is 3 mm. Air was injected into the 2D setup through a capillary tube (~2 mm diam) with constant flow rate (~13x10<sup>-3 </sup>l/s). Frame rate of the high speed camera is 250 fps. The spherical mirror has been covered in order to acquire only optical images and compare them with the corresponding Schlieren shadow photography images (ENDGAME_LabExp_HighSpeedCamera_20221129_003_XXX and ENDGAME_LabExp_HighSpeedCamera_20221129_004_XXX).
DOI: 10.21227/vqd6-0158
title: Top 10% Cryptocurrencies with Highest Trading Volume: Closing Prices from January 01, 2022 - March 31, 2022 

description: This dataset provides historical closing prices of 30 cryptocurrencies traded on the global cryptocurrency exchange, Binance, for a period of three months from January 01, 2022, to March 31, 2022. The data have been collected at three frequencies of 1 minute, 5 minutes, and 1 hour. The dataset has been filtered to include only the top 10% of cryptocurrencies with the highest trading volume to ensure adequate liquidity. The remaining 30 cryptocurrencies proceeded to the backtest (trading) period, including ETH, BNB, MATIC, SHIBU, SAND, SOL, GALA, XRP, AVAX, DOT, ADA, DOGE, MANA, FTM, NEAR, TRX, FIL, GXC, LINK, MBOX, LTC, ATOM, CTXC, CRV, EGLD, EOS, SUSHI, ALICE, AXS, and ICP. Missing data were filled directly with the price data from the previous time step.
DOI: 10.25505/fiz.icsd.cc2g601r
title: CSD 2269883: Experimental Crystal Structure Determination

description: Related Article: Qingxin Chu, Xiaofeng Wang, Xinhao Zhang, Qiliang Li, Xiaoyang Liu|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2g602s
title: CSD 2269884: Experimental Crystal Structure Determination

description: Related Article: Qingxin Chu, Xiaofeng Wang, Xinhao Zhang, Qiliang Li, Xiaoyang Liu|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2g603t
title: CSD 2269885: Experimental Crystal Structure Determination

description: Related Article: ?      # name|2023|CSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8037447
title: Full database for test results of the BOSS protocol

description: This database is a part of a research project titled: "Distributed Scalability Tuning for Evolutionary Sharding Optimization<br> with Random-equivalent Security in Permessionless Blockchain", in which Blockchain Optimized and Secure Sharding (BOSS) protocol is proposed. This database consists of measurements of security and scalability for two sharding approaches of permissionless BCs. For each row in the first sheet of this database, a new randomly connected BC network was constructed using the Erdős–Rényi model. The constructed network is then sharded using a representative Random Sharding approach (RS) and a novel niched Pareto Genetic Algorithm -based approach (i.e. BOSS). The configurations used for each test case are provided at each corresponding row. Those configuration parameters are in total seven system and optimization parameters. Those parameters were oscillated resulting in more than 362,880 test cases. The second sheet of this database presents the observed Pearson correlation coefficient for all tested parameters with the obtained results. Finally, the third sheet of this database provides some statistics of the data.
DOI: 10.5281/zenodo.8037446
title: Full database for test results of the BOSS protocol

description: This database is a part of a research project titled: "Distributed Scalability Tuning for Evolutionary Sharding Optimization<br> with Random-equivalent Security in Permessionless Blockchain", in which Blockchain Optimized and Secure Sharding (BOSS) protocol is proposed. This database consists of measurements of security and scalability for two sharding approaches of permissionless BCs. For each row in the first sheet of this database, a new randomly connected BC network was constructed using the Erdős–Rényi model. The constructed network is then sharded using a representative Random Sharding approach (RS) and a novel niched Pareto Genetic Algorithm -based approach (i.e. BOSS). The configurations used for each test case are provided at each corresponding row. Those configuration parameters are in total seven system and optimization parameters. Those parameters were oscillated resulting in more than 362,880 test cases. The second sheet of this database presents the observed Pearson correlation coefficient for all tested parameters with the obtained results. Finally, the third sheet of this database provides some statistics of the data.
DOI: 10.5258/soton/d1770
title: Direct Numerical Simulations of Shock Trains

description: Accompanying data for PhD thesis, Gillespie, A. (2021). Direct Numerical Simulations of Shock Trains. University of Southampton. Three data files are submitted alongside this document containing data produced over the course of the project. The file formats are HDF5 and they can be easily accessed with MATLAB, Python, R and other common scientific software. The data is non-dimensionalised by the relevant simulation reference values (see section 3.2 of the thesis). Time-averaged flow field data from the shock train cases described in chapters 4 and 5 are contained within the file shock_train_data.h5. The data is grouped by test case and for each the following variables are given: x, y, ρ, ρu, ρv, ρw, ρE. All data is averaged in time and in the spanwise direction (for duct cases only the homogeneous core is averaged). Data from the three boundary layer (shock-less) cases from section 4.1 are stored in the file boundary_layer_data.h5. In addition to the variables listed above we include the six unique components of the ρ(u_i)(u_j) tensor in order to allow for a full reconstruction of the Reynolds stresses. The centreline and wall time-history data for the step and sinusoidal forcing cases can be found within time_history_data.h5. The main flow variables (ρ, ρu, ρv, ρw, ρE) are given as well as 1D arrays of x and t. The datasets are named in the format [casename]_[wall/centre].
DOI: 10.6084/m9.figshare.23380847
title: Test

description: Test
DOI: 10.6084/m9.figshare.23380847.v1
title: Test

description: Test
DOI: 10.34740/kaggle/dsv/5929258
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.8036824
title: Modelling and Automated Retrieval of Provenance Relationships (Metadata and Statistics)

description: This dataset contains the data used in the master's thesis with the above title. It consists of a BibTeX file with the bibliographic metadata of the publications and websites cited throughout the thesis, and a Markdown file with statistics of the data sources discussed in Chapter 4.
DOI: 10.5281/zenodo.8036823
title: Modelling and Automated Retrieval of Provenance Relationships (Metadata and Statistics)

description: This dataset contains the data used in the master's thesis with the above title. It consists of a BibTeX file with the bibliographic metadata of the publications and websites cited throughout the thesis, and a Markdown file with statistics of the data sources discussed in Chapter 4.
DOI: 10.25345/c5q52fp77
title: MassIVE MSV000092157 - Exploring the human milk polyclonal IgA1 response to repeated SARS-CoV-2 vaccinations by LC-MS based Fab profiling
title: Upon vaccination against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) humans will start to produce antibodies targeting virus specific antigens that will end up in circulation. In lactating women such antibodies will also end up in breastmilk, primarily in the form of secretory immunoglobulin A1 (SIgA1), the most abundant immunoglobulin (Ig) in human milk. Here we set out to investigate the SIgA1 clonal repertoire response to repeated SARS-CoV-2 vaccination, using a LC-MS fragment antigen-binding (Fab) clonal profiling approach. We analyzed the breastmilk of six donors from a larger cohort of 109 lactating mothers who received one of three commonly used SARS-CoV-2 vaccines. We quantitatively monitored the SIgA1 Fab clonal profile over 16 timepoints, from just prior to the first vaccination until 15 days after the second vaccination. In all donors, we detected a population of 89-191 vaccine induced clones. These populations were unique to each donor and heterogeneous with respect to individual clonal concentrations, total clonal titer, and population size. The vaccine induced clones were dominated by persistent clones (68%) which came up after the first vaccination and were retained or reoccurred after the second vaccination. However, we also observe transient SIgA1 clones (16%) which dissipated before the second vaccination, and vaccine induced clones which uniquely emerged only after the second vaccination (16%). These distinct populations were observed in all analyzed donors, regardless of the administered vaccine. Our findings suggest that while individual donors have highly unique human milk SIgA1 clonal profiles and a highly personalized SIgA1 response to SARS-CoV-2 vaccination, there are also commonalities in vaccine induced responses.
DOI: 10.25505/fiz.icsd.cc2g604v
title: CSD 2269886: Experimental Crystal Structure Determination

description: Related Article: ?      # name|2023|CSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2g605w
title: CSD 2269887: Experimental Crystal Structure Determination

description: Related Article: ?      # name|2023|CSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2g606x
title: CSD 2269888: Experimental Crystal Structure Determination

description: Related Article: ?      # name|2023|CSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7885592
title: Interaction of genital microbiota in infertile couples

description: Bacteria colonise most of the human body and the genital tract is not an exception. While it has been known for decades that a vaginal microbiota exists, other genital sites have traditionally been viewed as sterile environments, with bacterial presence associated only with pathological conditions. However, recent studies identified specific patterns of bacterial colonisation in most genital sites. Shifts in the bacterial colonisation of the female genital tract have been linked to impairment of reproduction and adverse pregnancy outcomes, such as preterm birth. The goal of this project is to understand the association between the genital microbiota of couples seeking assisted procreation aid and the outcome of this treatment. Male and female partners will be studied as a unit (“couple microbiota”) and the interaction between their microbiota will be evaluated. We have characterized microbial samples coming from vaginal and penile swabs, as well as follicular fluid and semen, using next generation sequencing (16S rRNA profiling). The results were linked to clinical data of the patients included in the study and particularly to the results of the fertility treatment process. With this project, we aim to gain a better understanding of how the male genital microbiota could influence the lower (vagina) and upper (follicular fluid) female genital tracts. Github repository link: https://github.com/dfmemicrobiota/infertile_couples
DOI: 10.5281/zenodo.7885591
title: Interaction of genital microbiota in infertile couples

description: Bacteria colonise most of the human body and the genital tract is not an exception. While it has been known for decades that a vaginal microbiota exists, other genital sites have traditionally been viewed as sterile environments, with bacterial presence associated only with pathological conditions. However, recent studies identified specific patterns of bacterial colonisation in most genital sites. Shifts in the bacterial colonisation of the female genital tract have been linked to impairment of reproduction and adverse pregnancy outcomes, such as preterm birth. The goal of this project is to understand the association between the genital microbiota of couples seeking assisted procreation aid and the outcome of this treatment. Male and female partners will be studied as a unit (“couple microbiota”) and the interaction between their microbiota will be evaluated. We have characterized microbial samples coming from vaginal and penile swabs, as well as follicular fluid and semen, using next generation sequencing (16S rRNA profiling). The results were linked to clinical data of the patients included in the study and particularly to the results of the fertility treatment process. With this project, we aim to gain a better understanding of how the male genital microbiota could influence the lower (vagina) and upper (follicular fluid) female genital tracts. Github repository link: https://github.com/dfmemicrobiota/infertile_couples
DOI: 10.6084/m9.figshare.22718437.v1
title: <strong>Data for "</strong> <strong>Is ice shape relevant to the first lightning flash occurrence? "</strong>

description: In a manuscript entitled " <strong>Is ice shape relevant to the first lightning flash occurrence?</strong> ". The data of our results are including in the Data_for_Fig_x.fig. These files can be opened by MATLAB R2020b(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.
DOI: 10.25835/4busfsx9
title: Publication Dataset Laserbrazing Oxygenfree LANE

description: Dataset of the upcoming publication "Influence of an oxygen-free atmosphere on laser beam brazing of aluminium with prior surface deoxidation by pulsed laser radiation", LANE 22
DOI: 10.48331/scielo.h9fy7o/1z48fn
title: SciELO25_CindaLab_ALAppel_20230612.pdf

description: :unav
DOI: 10.48331/scielo.h9fy7o
title: Sustentabilidade socioeconômica de periódicos científicos de acesso aberto brasileiros

description: Apresentação de André Appel no Seminário CindaLab – SciELO 25 Anos: Desafios à Comunicação Científica na Ciência Aberta. Página do evento: https://25.scielo.org/seminarios/cindalab-ciencia-aberta/
DOI: 10.25345/c5kh0f86t
title: MassIVE MSV000092158 - Fusarium sp. VM-40 secondary metabolites
title: Data for the manuscript: Genomic and metabolomic analysis of the endophytic fungus Fusarium sp. VM-40 isolated from the medicinal plant Vinca minor, authors: Ting He, Xiao Li, Riccardo Iacovelli, Thomas Hackl and Kristina Haslinger
DOI: 10.5281/zenodo.8037462
title: data for paper:

description: Here are the data description ON2r213nw, ON2r214nw, ON2r215nw, ON2r216nw: TIEGCM simulated column density ratio of O to N2 on DOY 213-216 with real IMF in 2021. The array dimensions are 288*144*96, 288 stands for longitude numbers from -180 to 180 in a resolution of 1.25. 144stands for latitude numbers from -88.75 to 88.75 in a resolution of 1.25. 96 stands for times, from 0:10 UT to 23:55 UT in a 15 minutes resolution. ON2r 214nw0byn stands for O/N2 without IMF By. same dimension as aboved ON2 files with name UN, VN are zonal and meridonal winds near 160 km simulated by TIEGCM, same dimensions as ON2.
DOI: 10.34740/kaggle/dsv/5929375
title: Instagram Reach Analysis: Case Study
DOI: 10.20363/cdg.conopidae.taxa-list.2023.iv.18
title: Taxaliste: Checkliste der Dickkopffliegen Deutschlands (Diptera: Conopidae)

description: Einfache Darwincore-konforme (DwC) Text-Datei (TSV) zu:
Stuke, J.-H. (2023): Checkliste der Dickkopffliegen Deutschlands (Diptera: Conopidae). Version: 18. April 2023. ‒ Catalogus dipterorum Germaniae 1: 1–25. [DOI: 10.20363/CdG.Conopidae.2023.iv.18]
DOI: 10.25345/c5fq9qg3m
title: MassIVE MSV000092159 - Fusarium sp. VM-40-secondary metabolites-data
title: Data for the manuscript: Genomic and metabolomic analysis of the endophytic fungus Fusarium sp. VM-40 derived from the medicinal plant Vinca minor, authors: Ting He, Xiao Li, Riccardo Iacovelli, Thomas Hackl and Kristina Haslinger
DOI: 10.5517/ccdc.csd.cc2d4l38
title: CCDC 2208939: Experimental Crystal Structure Determination

description: Related Article: Chang-Yun Shi, Xiao-Qu Chen, Ruoqing Zeng, Heng Lu, Zhoulong Fan, Ao Zhang|2023|Org.Lett.|25|3870|doi:10.1021/acs.orglett.3c00873
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.cc2d4l49
title: CCDC 2208940: Experimental Crystal Structure Determination

description: Related Article: Chang-Yun Shi, Xiao-Qu Chen, Ruoqing Zeng, Heng Lu, Zhoulong Fan, Ao Zhang|2023|Org.Lett.|25|3870|doi:10.1021/acs.orglett.3c00873
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.cc2d4l5b
title: CCDC 2208941: Experimental Crystal Structure Determination

description: Related Article: Chang-Yun Shi, Xiao-Qu Chen, Ruoqing Zeng, Heng Lu, Zhoulong Fan, Ao Zhang|2023|Org.Lett.|25|3870|doi:10.1021/acs.orglett.3c00873
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.cc2d4l6c
title: CCDC 2208942: Experimental Crystal Structure Determination

description: Related Article: Chang-Yun Shi, Xiao-Qu Chen, Ruoqing Zeng, Heng Lu, Zhoulong Fan, Ao Zhang|2023|Org.Lett.|25|3870|doi:10.1021/acs.orglett.3c00873
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.cc2d4l7d
title: CCDC 2208943: Experimental Crystal Structure Determination

description: Related Article: Chang-Yun Shi, Xiao-Qu Chen, Ruoqing Zeng, Heng Lu, Zhoulong Fan, Ao Zhang|2023|Org.Lett.|25|3870|doi:10.1021/acs.orglett.3c00873
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.