cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25235416
title: Libro1 - copia - copia.jasp

description: In this paper, we undertake a comprehensive examination of the predominant theoretical frameworks within the literature pertaining to the etiology of paranormal belief. A study was conducted aimed to develop an exhaustive model for comprehending paranormal beliefs through the analysis of variables that embody the primary theoretical frameworks discussed within the academic literature. We assessed a sample of 135 participants. Utilizing linear regression analysis, this research endeavored to identify the most significant predictors of paranormal belief. It was found that 61% of the subjects affirmed paranormal beliefs, with 54% reporting personal experiences of a paranormal nature. The findings highlighted subjective paranormal experiences as the foremost predictor of paranormal belief, with a standardized coefficient of .24 (p=.001). Other significant variables included openness (.22, p=.001), religiosity (.16, p&lt;.014), unusual experience (.21, p=.003), impulsive nonconformity (.16, p=.022), need for achievement (.18, p=.007), and probabilistic reasoning (-.20, p=.003). These results support the view that paranormal belief is a multifaceted phenomenon influenced by several contributory elements. The proposed model indicates that the emergence of paranormal beliefs in individuals may result from one or several factors, highlighting the importance of context and the practical implications of harboring such beliefs.
DOI: 10.6084/m9.figshare.25235416.v1
title: Libro1 - copia - copia.jasp

description: In this paper, we undertake a comprehensive examination of the predominant theoretical frameworks within the literature pertaining to the etiology of paranormal belief. A study was conducted aimed to develop an exhaustive model for comprehending paranormal beliefs through the analysis of variables that embody the primary theoretical frameworks discussed within the academic literature. We assessed a sample of 135 participants. Utilizing linear regression analysis, this research endeavored to identify the most significant predictors of paranormal belief. It was found that 61% of the subjects affirmed paranormal beliefs, with 54% reporting personal experiences of a paranormal nature. The findings highlighted subjective paranormal experiences as the foremost predictor of paranormal belief, with a standardized coefficient of .24 (p=.001). Other significant variables included openness (.22, p=.001), religiosity (.16, p&lt;.014), unusual experience (.21, p=.003), impulsive nonconformity (.16, p=.022), need for achievement (.18, p=.007), and probabilistic reasoning (-.20, p=.003). These results support the view that paranormal belief is a multifaceted phenomenon influenced by several contributory elements. The proposed model indicates that the emergence of paranormal beliefs in individuals may result from one or several factors, highlighting the importance of context and the practical implications of harboring such beliefs.
DOI: 10.6084/m9.figshare.25236211
title: Database

description: Defence economy and Human Development
DOI: 10.6084/m9.figshare.25236211.v1
title: Database

description: Defence economy and Human Development
DOI: 10.6084/m9.figshare.25230368
title: Simulation data, model 3, mdot=0.11

description: Simulation data files in the binary format used by Pluto. For the notebooks that process these data, see the <i>Notebooks</i> child projects associated with the main one.Reference: Nemmen et al., Emergence of hot corona and truncated disk in simulations of accreting stellar mass black holes. MNRAS, submittedDescription of filesarchive.?.tar<br>Binary files packed with tar, without compression. Use the unpack.py code to unpack all files.<br>misc.tar.bz2<br>Miscellaneous files generated by Pluto during the run, compressed with the bzip2 protocol.<br>unpack.py<br>Python code to unpack all tar files in the current directory.
DOI: 10.6084/m9.figshare.25230368.v2
title: Simulation data, model 3, mdot=0.11

description: Simulation data files in the binary format used by Pluto. For the notebooks that process these data, see the <i>Notebooks</i> and <i>Render images</i> folders in this project.Description of filesarchive.?.tar<br>Binary files packed with tar, without compression. Use the unpack.py code to unpack all files.<br>misc.tar.bz2<br>Miscellaneous files generated by Pluto during the run, compressed with the bzip2 protocol.<br>unpack.py<br>Python code to unpack all tar files in the current directory.
DOI: 10.5281/zenodo.10667430
title: IODP Expedition 390 Inorganic carbon (coulometer)

description: Inorganic carbon (carbonate) is determined by coulometry, which uses a photodetection cell to measure carbon dioxide evolved during sample acidification. Report includes percent inorganic carbon and calcium carbonate.
DOI: 10.5281/zenodo.10667431
title: IODP Expedition 390 Inorganic carbon (coulometer)

description: Inorganic carbon (carbonate) is determined by coulometry, which uses a photodetection cell to measure carbon dioxide evolved during sample acidification. Report includes percent inorganic carbon and calcium carbonate.
DOI: 10.5281/zenodo.10667426
title: IODP Expedition 390 Stratigraphic Correlation

description: Affine and splice files created for stratigraphic correlation.
DOI: 10.5281/zenodo.10667427
title: IODP Expedition 390 Stratigraphic Correlation

description: Affine and splice files created for stratigraphic correlation.
DOI: 10.6084/m9.figshare.25236559
title: Simulation data, model 4, mdot=0.06

description: Simulation data files in the binary format used by Pluto. For the notebooks that process these data, see the <i>Notebooks</i> child projects associated with the main one.Reference: Nemmen et al., Emergence of hot corona and truncated disk in simulations of accreting stellar mass black holes. MNRAS, submittedDescription of filesarchive.?.tar<br>Binary files packed with tar, without compression. Use the unpack.py code to unpack all files.<br>misc.tar.bz2<br>Miscellaneous files generated by Pluto during the run, compressed with the bzip2 protocol.<br>unpack.py<br>Python code to unpack all tar files in the current directory.
DOI: 10.6084/m9.figshare.25236559.v1
title: Simulation data, model 4, mdot=0.06

description: Simulation data files in the binary format used by Pluto. For the notebooks that process these data, see the <i>Notebooks</i> child projects associated with the main one.Reference: Nemmen et al., Emergence of hot corona and truncated disk in simulations of accreting stellar mass black holes. MNRAS, submittedDescription of filesarchive.?.tar<br>Binary files packed with tar, without compression. Use the unpack.py code to unpack all files.<br>misc.tar.bz2<br>Miscellaneous files generated by Pluto during the run, compressed with the bzip2 protocol.<br>unpack.py<br>Python code to unpack all tar files in the current directory.
DOI: 10.6084/m9.figshare.25236559.v2
title: Simulation data, model 4, mdot=0.06

description: Simulation data files in the binary format used by Pluto. For the notebooks that process these data, see the <i>Notebooks</i> child projects associated with the main one.Reference: Nemmen et al., Emergence of hot corona and truncated disk in simulations of accreting stellar mass black holes. MNRAS, submittedDescription of filesarchive.?.tar<br>Binary files packed with tar, without compression. Use the unpack.py code to unpack all files.<br>misc.tar.bz2<br>Miscellaneous files generated by Pluto during the run, compressed with the bzip2 protocol.<br>unpack.py<br>Python code to unpack all tar files in the current directory.
DOI: 10.25345/c5gm8206t
title: MassIVE MSV000094100 - Structural basis for Retriever-SNX17 assembly and endosomal sorting
title: Plasma membrane proteomics by TMT10plex (131 label not used). 126, 127N, 127C: WT 128N, 128C, 129N: EV 129C, 130N, 130C: DM
DOI: 10.5281/zenodo.10667277
title: IODP Expedition 390 Carbonates composite report

description: This composite report includes data from two analyses (total carbon from Elemental analysis [CHNS], and inorganic carbon from [Coulometer]). Each row combines the  CHNS and Coulometer data from measurements made on the same sample at the same time for a particular section and section offset (depth). If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate data type (Elemental analysis and Coulometer). If the same sample was measured multiple times by any of the methods, results in the report will be combined on one line where possible. Each additional replicate result will be shown in subsequent rows and will be combined where possible. Report includes results for carbon forms: total, inorganic, calcium carbonate, and organic by difference, along with total hydrogen, nitrogen, and sulfur.
DOI: 10.5281/zenodo.10667278
title: IODP Expedition 390 Carbonates composite report

description: This composite report includes data from two analyses (total carbon from Elemental analysis [CHNS], and inorganic carbon from [Coulometer]). Each row combines the  CHNS and Coulometer data from measurements made on the same sample at the same time for a particular section and section offset (depth). If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate data type (Elemental analysis and Coulometer). If the same sample was measured multiple times by any of the methods, results in the report will be combined on one line where possible. Each additional replicate result will be shown in subsequent rows and will be combined where possible. Report includes results for carbon forms: total, inorganic, calcium carbonate, and organic by difference, along with total hydrogen, nitrogen, and sulfur.
DOI: 10.5281/zenodo.10667275
title: IODP Expedition 390 Vane shear strength (AVS)

description: Shear strength was measured on section halves using a GEISA automated vane shear (AVS) frame and device controller. The device is suitable for sediment not affected by cementation (i.e., saturated, clay-rich, soft sediment). Shear strength measurements should be considered only approximate, particularly because the influence of pore pressure changes during the undrained experiment cannot be estimated. Report includes vane shear strength at the sample's failure point, maximum torque angle, penetration direction, and rate of vane rotation.
DOI: 10.5281/zenodo.10667276
title: IODP Expedition 390 Vane shear strength (AVS)

description: Shear strength was measured on section halves using a GEISA automated vane shear (AVS) frame and device controller. The device is suitable for sediment not affected by cementation (i.e., saturated, clay-rich, soft sediment). Shear strength measurements should be considered only approximate, particularly because the influence of pore pressure changes during the undrained experiment cannot be estimated. Report includes vane shear strength at the sample's failure point, maximum torque angle, penetration direction, and rate of vane rotation.
DOI: 10.5281/zenodo.10667271
title: IODP Expedition 390 Alkalinity and pH

description: Alkalinity was determined by Gran titration with an autotitrator (Metrohm 794 basic Titrino) using 0.1 M HCl at 20 degrees C. Report includes alkalinity, correction factor (if applicable), and pH.
DOI: 10.5281/zenodo.10667272
title: IODP Expedition 390 Alkalinity and pH

description: Alkalinity was determined by Gran titration with an autotitrator (Metrohm 794 basic Titrino) using 0.1 M HCl at 20 degrees C. Report includes alkalinity, correction factor (if applicable), and pH.
DOI: 10.25345/c5bv7b635
title: MassIVE MSV000094101 - Structural basis for Retriever-SNX17 assembly and endosomal sorting
title: Protein-protein interaction analysis by label-free quantitation. LUM2_1153149, LUM2_1153150, LUM2_1153151: EV LUM2_1153152, LUM2_1153153, LUM2_1153154: WT LUM2_1153155, LUM2_1153156, LUM2_1153157: V205D-R248M
DOI: 10.5281/zenodo.10501215
title: Dataset of "beta-Variational autoencoders and transformers for reduced-order modelling of fluid flows"

description: Dataset of "beta-Variational autoencoders and transformers for reduced-order modelling of fluid flows"

 

https://www.nature.com/articles/s41467-024-45578-4

 

RV acknowledges the financial support from ERC grant no. `2021-CoG-101043998, DEEPCONTROL'. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.
DOI: 10.5517/ccdc.csd.cc2g8h3c
title: CCDC 2272272: Experimental Crystal Structure Determination

description: Related Article: Jiaming Wang, Meng Wang, Yilu Wen, Peng Teng, Chenyang Li, Changgui Zhao|2024|Org.Lett.|26|1040|doi:10.1021/acs.orglett.3c04200
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.cc2gl73f
title: CCDC 2281634: Experimental Crystal Structure Determination

description: Related Article: Jiaming Wang, Meng Wang, Yilu Wen, Peng Teng, Chenyang Li, Changgui Zhao|2024|Org.Lett.|26|1040|doi:10.1021/acs.orglett.3c04200
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.cc2gn1gn
title: CCDC 2283381: Experimental Crystal Structure Determination

description: Related Article: Natalia Czaplak, Janusz Szklarzewicz, Maciej Hodorowicz, Anna Jurowska|2024|Inorg.Chim.Acta|563|121900|doi:10.1016/j.ica.2023.121900
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.cc2gn229
title: CCDC 2283400: Experimental Crystal Structure Determination

description: Related Article: Ankit Boora, Jai Devi, Kashmiri Lal, Tanmay Rom, Avijit Kumar Paul|2024|Inorg.Chim.Acta|564|121940|doi:10.1016/j.ica.2024.121940
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.cc2gpsvt
title: CCDC 2285067: Experimental Crystal Structure Determination

description: Related Article: Kaylaa L. Gutman, Carlos D. Quintanilla, Liming Zhang|2024|J.Am.Chem.Soc.|146|3598|doi:10.1021/jacs.3c11919
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.cc2gq1bl
title: CCDC 2285299: Experimental Crystal Structure Determination

description: Related Article: Nan Liu, Ya Zhang, Si-yang Jin, Ting-ting Li, Huan Dai, Wen-ying Li, Wei Xu|2024|Inorg.Chim.Acta|564|121958|doi:10.1016/j.ica.2024.121958
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.cc2gys29
title: CCDC 2292731: Experimental Crystal Structure Determination

description: Related Article: Chao Zhou|2023|CSD Communication|||
description: Related Article: Chao Zhou, Zan Liu, Ge Liang, Ya-Qiong Zhang, Tao Lei, Bin Chen, Rong-Zhen Liao, Chen-Ho Tung, Li-Zhu Wu|2024|Org.Lett.|26|1116|doi:10.1021/acs.orglett.3c04392
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.cc2h1hz1
title: CCDC 2295363: Experimental Crystal Structure Determination

description: Related Article: Farat Ali, Najmul Hasan, Shabir Ahmad Bhat, Rahat Ali, Syed Dilshad Alam, Arvind Kumar Jain, Shafat Ahmad Khan|2024|Inorg.Chim.Acta|564|121934|doi:10.1016/j.ica.2024.121934
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.cc2h1j03
title: CCDC 2295364: Experimental Crystal Structure Determination

description: Related Article: Farat Ali, Najmul Hasan, Shabir Ahmad Bhat, Rahat Ali, Syed Dilshad Alam, Arvind Kumar Jain, Shafat Ahmad Khan|2024|Inorg.Chim.Acta|564|121934|doi:10.1016/j.ica.2024.121934
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.cc2fm68k
title: CCDC 2252778: Experimental Crystal Structure Determination

description: Related Article: Rakesh Kumar Rai, Ashish Chalana, Ramesh Karri, Amirul Islam, Rudra Shankar Pati, Vibha P Sarathy, Gouriprasanna Roy|2024|Inorg.Chim.Acta|562|121880|doi:10.1016/j.ica.2023.121880
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.cc2h351v
title: CCDC 2296946: Experimental Crystal Structure Determination

description: Related Article: Rakesh Kumar Rai, Ashish Chalana, Ramesh Karri, Amirul Islam, Rudra Shankar Pati, Vibha P Sarathy, Gouriprasanna Roy|2024|Inorg.Chim.Acta|562|121880|doi:10.1016/j.ica.2023.121880
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.cc2fm66h
title: CCDC 2252776: Experimental Crystal Structure Determination

description: Related Article: Rakesh Kumar Rai, Ashish Chalana, Ramesh Karri, Amirul Islam, Rudra Shankar Pati, Vibha P Sarathy, Gouriprasanna Roy|2024|Inorg.Chim.Acta|562|121880|doi:10.1016/j.ica.2023.121880
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.cc2h48nl
title: CCDC 2298019: Experimental Crystal Structure Determination

description: Related Article: Amelia Kacperkiewicz, Robert J. Ortiz, Shih-Ting Chiu, Po-Heng Lin, David E. Herbert|2024|Inorg.Chim.Acta|563|121895|doi:10.1016/j.ica.2023.121895
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: 10.6084/m9.figshare.25236577
title: Simulation data, model 5, mdot=0.02

description: Simulation data files in the binary format used by Pluto. For the notebooks that process these data, see the <i>Notebooks</i> child projects associated with the main one.Reference: Nemmen et al., Emergence of hot corona and truncated disk in simulations of accreting stellar mass black holes. MNRAS, submittedDescription of filesarchive.?.tar<br>Binary files packed with tar, without compression. Use the unpack.py code to unpack all files.<br>misc.tar.bz2<br>Miscellaneous files generated by Pluto during the run, compressed with the bzip2 protocol.<br>unpack.py<br>Python code to unpack all tar files in the current directory.
DOI: 10.6084/m9.figshare.25236577.v1
title: Simulation data, model 5, mdot=0.02

description: Simulation data files in the binary format used by Pluto. For the notebooks that process these data, see the <i>Notebooks</i> child projects associated with the main one.Reference: Nemmen et al., Emergence of hot corona and truncated disk in simulations of accreting stellar mass black holes. MNRAS, submittedDescription of filesarchive.?.tar<br>Binary files packed with tar, without compression. Use the unpack.py code to unpack all files.<br>misc.tar.bz2<br>Miscellaneous files generated by Pluto during the run, compressed with the bzip2 protocol.<br>unpack.py<br>Python code to unpack all tar files in the current directory.
DOI: 10.5281/zenodo.10501216
title: Dataset of "beta-Variational autoencoders and transformers for reduced-order modelling of fluid flows"

description: Dataset of "beta-Variational autoencoders and transformers for reduced-order modelling of fluid flows"

 

https://www.nature.com/articles/s41467-024-45578-4

 

RV acknowledges the financial support from ERC grant no. `2021-CoG-101043998, DEEPCONTROL'. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.