cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17171/1-6-495-5
title: Image of steelyard 0225

description: Ancient Steelyards
DOI: 10.17171/1-6-495-6
title: Image of steelyard 0225

description: Ancient Steelyards
DOI: 10.17171/1-6-495-7
title: Image of steelyard 0225

description: Ancient Steelyards
DOI: 10.17171/1-6-495-8
title: Image of steelyard 0225

description: Ancient Steelyards
DOI: 10.17171/1-6-834
title: Steelyard 1041

description: Ancient Steelyards
DOI: 10.17171/1-6-835
title: Steelyard 1043

description: Ancient Steelyards
DOI: 10.17171/1-6-836
title: Steelyard 1092
title: Inv.Nr. A. 566, Museo y Ruinas Romanas de Conímbriga, Conimbriga

description: Ancient Steelyards
DOI: 10.17632/9j47dhd4kx.3
title: NewsMinerCollection

description: The NewMinerCollection was built by collecting news, in the English language, from The Guardian, CNN, BBC, Fox News, NyPost, China Daily and CNBC websites, from 1990 until 2016 using a web crawler. This dataset contains 7000 news items equally distributed among the seven categories: id_category category 1 Arts, Culture & Entertainment 4 Economy, Business & Finance 6 Environmental Issues 10 Lifestyle & Leisure 11 Politics 15 Sport 13 Science & Technology
DOI: 10.17632/fdsx6ttj8r.1
title: NCET/RMET behavioural and ROI data data

description: NCET_accuracy_reaction_times.csv contains reaction times and accuracy data from NCET/RMET fMRI experiment. NCET_roi_betas.csv contains mean beta estimates extracted from 3 regions of interest - R_IFG - right Inferior Frontal Gyrus; L_IFG - left Inferior Frontal Gyrus; right Superior Temporal Sulcus For both datasets variable "groups" contains group information; variable "condition" contains information about experimental conditions.
DOI: 10.17632/gh3yrr9rzn.1
title: Ensemble Perception of Multiple Characteristics in Crowds of Faces

description: This a dataset containing data of three experiments we conducted to demonstrate human ability of extracting multiple high-level ensembles from crowds of faces.
DOI: 10.17632/y69zhgxym3.2
title: Data for: Small is Beautiful? Explaining Resident Satisfaction in Swedish Nursing Home Care

description: These files contain all data and code necessary to reproduce the findings reported in the article "Small is Beautiful? Explaining Resident Satisfaction in Swedish Nursing Home Care".
DOI: 10.17171/1-6-218
title: Steelyard 1102
title: Inv.Nr. 7848, Museum Wiesbaden, Wiesbaden

description: Ancient Steelyards
DOI: 10.17171/1-6-219
title: Steelyard 1106
title: Inv.Nr. 5749, Museo archeologico nazionale di Napoli (MANN), Naples (Napoli)

description: Ancient Steelyards
DOI: 10.17171/1-6-220
title: Steelyard 1107

description: Ancient Steelyards
DOI: 10.17171/1-6-221
title: Steelyard 1112
title: Inv.Nr. 6521, Pompei Scavi, Pompeii (Pompei, Pompeji)

description: Ancient Steelyards
DOI: 10.17171/1-6-222
title: Steelyard 1114
title: Inv.Nr. ZM 3192, ZM 3193, ZM 3194, ZM 3195, ZM 3196, ZHa 409a, ZHa 409b, ZHa 409c, ZHa 409d, Saalburgmuseum, Bad Homburg v. d. H.

description: Ancient Steelyards
DOI: 10.17171/1-6-223
title: Steelyard 1119
title: Inv.Nr. 4784, Somogy Megyei Múzeum, Kaposvár

description: Ancient Steelyards
DOI: 10.17171/1-6-224
title: Steelyard 1120
title: Inv.Nr. M 50 a-b + M 54 + M 57, Kunsthistorisches Museum, Antikensammlung, Vienna (Wien)

description: Ancient Steelyards
DOI: 10.17171/1-6-225
title: Steelyard 1128

description: Ancient Steelyards
DOI: 10.17171/1-6-498-2
title: Image of steelyard 0232

description: Ancient Steelyards
DOI: 10.17171/1-6-837
title: Steelyard 1097
title: Inv.Nr. RHO.2007.05.1964, Musée départemental Arles antique, Arles

description: Ancient Steelyards
DOI: 10.17632/v5wwtv6nfw.1
title: Business intelligence systems’ success: A comprehensive approach

description: Business intelligence (BI) systems have been questioned as regards the benefits and returns obtained after implementation. These questions arise because the product of BI is intelligence (i.e., some kind of processed information) and the value of information is difficult to assess. This research aims to address the issue of evaluation of BI systems using the information systems success model (ISSM) proposed by DeLone and McLean, going beyond the traditional interrelated dimensions of BI capabilities, quality of information, user satisfaction, and usage level. Decision approach is included as a variable since a key objective of BI systems is to process data from different sources to produce information that serves as a basis for the decision-making process. The research problem was addressed by a web-based survey methodology, and of the 483 responses, 246 were usable. The structural equation modeling (SEM) was used to analyze the data with the software SMART-PLS. The results empirically proved all the causal relationships proposed between success dimensions of BI systems, except for the moderation effect of the variable of decision-making approach on the relationship between satisfaction and usage level. The results show that BI success can be defined in terms of BI capability, the quality of information, user satisfaction, decision-making approach, and usage level. The main practical implication of this research is that promoting analytical decision-making reduces subjectivity and increases success in BI systems implementations.
DOI: 10.17632/v5wwtv6nfw.2
title: Business intelligence systems’ success: A comprehensive approach

description: Business intelligence (BI) systems have been questioned as regards the benefits and returns obtained after implementation. These questions arise because the product of BI is intelligence (i.e., some kind of processed information) and the value of information is difficult to assess. This research aims to address the issue of evaluation of BI systems using the information systems success model (ISSM) proposed by DeLone and McLean, going beyond the traditional interrelated dimensions of BI capabilities, quality of information, user satisfaction, and usage level. Decision approach is included as a variable since a key objective of BI systems is to process data from different sources to produce information that serves as a basis for the decision-making process. The research problem was addressed by a web-based survey methodology, and of the 483 responses, 246 were usable. The structural equation modeling (SEM) was used to analyze the data with the software SMART-PLS. The results empirically proved all the causal relationships proposed between success dimensions of BI systems, except for the moderation effect of the variable of decision-making approach on the relationship between satisfaction and usage level. The results show that BI success can be defined in terms of BI capability, the quality of information, user satisfaction, decision-making approach, and usage level. The main practical implication of this research is that promoting analytical decision-making reduces subjectivity and increases success in BI systems implementations.
DOI: 10.17632/wnzgmzhhzn.1
title: Data for: Associations between isometric quadriceps strength characteristics, knee flexion angles, and knee extension moments during single leg step down and landing tasks after anterior cruciate ligament reconstruction

description: Normalized linear loading rate, vertical ground reaction force, knee extension moment at initial contact, peak knee extension moment, knee flexion angle at initial contact, and peak knee flexion angle during single leg crossover hop and single leg step down tasks in individuals with a history of ACLR.
DOI: 10.17171/1-6-226
title: Steelyard 1129

description: Ancient Steelyards
DOI: 10.17171/1-6-227
title: Steelyard 1130

description: Ancient Steelyards
DOI: 10.17171/1-6-228
title: Steelyard 1146
title: Inv.Nr. 1707, Museo dell’Accademia Etrusca di Cortona, Florence (Firenze)

description: Ancient Steelyards
DOI: 10.17171/1-6-229
title: Steelyard 1148
title: Inv.Nr. P3565, Pompei Scavi, Pompeii (Pompei, Pompeji)

description: Ancient Steelyards
DOI: 10.5517/ccdc.csd.cc25bcpl
title: CCDC 2005969: Experimental Crystal Structure Determination

description: Related Article: Shoaib Manzoor, Daniyah A. Almarghalani, Antonisamy William James, Md Kausar Raza, Tasneem Kausar, Shahid M. Nayeem, Nasimul Hoda, Zahoor A. Shah|2023|Pharm. Res.|40|167|doi:10.1007/s11095-022-03429-1
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.cc25bcsp
title: CCDC 2005972: Experimental Crystal Structure Determination

description: Related Article: Shoaib Manzoor, Daniyah A. Almarghalani, Antonisamy William James, Md Kausar Raza, Tasneem Kausar, Shahid M. Nayeem, Nasimul Hoda, Zahoor A. Shah|2023|Pharm. Res.|40|167|doi:10.1007/s11095-022-03429-1
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.cc25bctq
title: CCDC 2005973: Experimental Crystal Structure Determination

description: Related Article: Shoaib Manzoor, Daniyah A. Almarghalani, Antonisamy William James, Md Kausar Raza, Tasneem Kausar, Shahid M. Nayeem, Nasimul Hoda, Zahoor A. Shah|2023|Pharm. Res.|40|167|doi:10.1007/s11095-022-03429-1
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.cc29ymqm
title: CCDC 2143641: Experimental Crystal Structure Determination

description: Related Article: Zhibin Cheng, Yanlong Fang, Wen Dai, Jindan Zhang, Shengchang Xiang, Zhangjing Zhang|2023|J.Mater.Chem.A|11|1180|doi:10.1039/D2TA08598D
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.cc2h0zs9
title: CCDC 2294861: Experimental Crystal Structure Determination

description: Related Article: Nikolai P. Rossouw, Zongjia Chen, Jonathan M. White, Mark A. Rizzacasa|2023|Org.Lett.|25|8010|doi:10.1021/acs.orglett.3c03232
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.cc2gxy0c
title: CCDC 2291923: Experimental Crystal Structure Determination

description: Related Article: Nikolai P. Rossouw, Zongjia Chen, Jonathan M. White, Mark A. Rizzacasa|2023|Org.Lett.|25|8010|doi:10.1021/acs.orglett.3c03232
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.cc2h3s8p
title: CCDC 2297542: Experimental Crystal Structure Determination

description: Related Article: Jian-Qiang Zhao, Xue-Man Zhang, Yu-Ying He, Qiao-Qiao Peng, Han-Wen Rao, Yan-Ping Zhang, Zhen-Hua Wang, Yong You, Wei-Cheng Yuan|2023|Org.Lett.|25|8027|doi:10.1021/acs.orglett.3c03252
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.cc2h3s9q
title: CCDC 2297543: Experimental Crystal Structure Determination

description: Related Article: Jian-Qiang Zhao, Xue-Man Zhang, Yu-Ying He, Qiao-Qiao Peng, Han-Wen Rao, Yan-Ping Zhang, Zhen-Hua Wang, Yong You, Wei-Cheng Yuan|2023|Org.Lett.|25|8027|doi:10.1021/acs.orglett.3c03252
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.10201185
title: Dataset related to the article "Whole-blood transcriptome unveils altered immune response in acute myocardial infarction patients with aortic valve sclerosis"

description: This record contains raw data related to the article "Whole-blood transcriptome unveils altered immune response in acute myocardial infarction patients with aortic valve sclerosis"
Abstract
Background: Aortic valve sclerosis (AVSc) presents similar pathogenetic mechanisms to coronary artery disease (CAD) and is associated with short- and long-term mortality in CAD patients. Evidence of AVSc-specific pathophysiological traits in acute myocardial infarction (AMI) is currently lacking. Thus, we aimed to identify a blood-based transcriptional signature that could differentiate AVSc from non-AVSc patients during AMI.
Methods: Whole-blood transcriptome of AVSc (n = 44) and no-AVSc (n = 66) patients with AMI was assessed by RNA-sequencing on hospital admission. Feature selection, differential expression, and enrichment analyses were performed to identify gene expression patterns discriminating AVSc from no-AVSc and infer functional associations. Multivariable Cox regression analysis was used to estimate the hazard ratios of cardiovascular events in AVSc versus no-AVSc patients.
Results: This cross-sectional study identified a panel of 100 informative genes capable of distinguishing AVSc from no-AVSc patients with 94% accuracy. Further analysis revealed significant mean differences in 143 genes, of which 30 genes withstood correction for age and previous AMI or coronary interventions. Functional inference unveiled a significant association between AVSc and key biological processes, including acute inflammatory responses, type I interferons (IFN) response, platelet activation, and hemostasis. Notably, AMI patients with AVSc exhibited a significantly higher incidence of adverse cardiovascular events during a 10-year follow-up period, with a full adjusted hazard ratio of 2.4 (95% CI 1.3–4.5).
Conclusions: Our findings shed light on the molecular mechanisms underlying AVSc and provide potential prognostic insights for AMI patients with AVSc. During AMI, AVSc patients showed increased type I IFN response and earlier adverse cardiovascular outcomes. Novel pharmacological therapies aiming at limiting type I IFN response during or immediately after AMI might improve poor cardiovascular outcomes of AMI patients with AVSc.
Keywords:
 Aortic valve sclerosis; acute myocardial infarction; immune response; inflammation; cardiovascular adverse events; risk stratification.
DOI: 10.5281/zenodo.10201186
title: Dataset related to the article "Whole-blood transcriptome unveils altered immune response in acute myocardial infarction patients with aortic valve sclerosis"

description: This record contains raw data related to the article "Whole-blood transcriptome unveils altered immune response in acute myocardial infarction patients with aortic valve sclerosis"
Abstract
Background: Aortic valve sclerosis (AVSc) presents similar pathogenetic mechanisms to coronary artery disease (CAD) and is associated with short- and long-term mortality in CAD patients. Evidence of AVSc-specific pathophysiological traits in acute myocardial infarction (AMI) is currently lacking. Thus, we aimed to identify a blood-based transcriptional signature that could differentiate AVSc from non-AVSc patients during AMI.
Methods: Whole-blood transcriptome of AVSc (n = 44) and no-AVSc (n = 66) patients with AMI was assessed by RNA-sequencing on hospital admission. Feature selection, differential expression, and enrichment analyses were performed to identify gene expression patterns discriminating AVSc from no-AVSc and infer functional associations. Multivariable Cox regression analysis was used to estimate the hazard ratios of cardiovascular events in AVSc versus no-AVSc patients.
Results: This cross-sectional study identified a panel of 100 informative genes capable of distinguishing AVSc from no-AVSc patients with 94% accuracy. Further analysis revealed significant mean differences in 143 genes, of which 30 genes withstood correction for age and previous AMI or coronary interventions. Functional inference unveiled a significant association between AVSc and key biological processes, including acute inflammatory responses, type I interferons (IFN) response, platelet activation, and hemostasis. Notably, AMI patients with AVSc exhibited a significantly higher incidence of adverse cardiovascular events during a 10-year follow-up period, with a full adjusted hazard ratio of 2.4 (95% CI 1.3–4.5).
Conclusions: Our findings shed light on the molecular mechanisms underlying AVSc and provide potential prognostic insights for AMI patients with AVSc. During AMI, AVSc patients showed increased type I IFN response and earlier adverse cardiovascular outcomes. Novel pharmacological therapies aiming at limiting type I IFN response during or immediately after AMI might improve poor cardiovascular outcomes of AMI patients with AVSc.
Keywords:
 Aortic valve sclerosis; acute myocardial infarction; immune response; inflammation; cardiovascular adverse events; risk stratification.
DOI: 10.5519/qd.dmhc3p24
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.15472/zyqnzp
title: Avifauna en el Resguardo Indigena de origen colonial Cañamomo Lomaprieta

description: Este proyecto contiene informacion sobre el listado de aves registradas en el resguardo indigena a partir de los ejercicios de ciencia participativa, liderados por el programa patrimonio natural, en donde se han vinculado distintas entidades tales como, comunidad, instituciones educativas, guardia indigena, sabedores locales, autoridades, medicos tradicionales, semilleros de investigación en Ornitologia de la universidad de Caldas.
DOI: 10.5281/zenodo.10200653
title: Datasets used for analysis and plotting in the study by Zhou et al. "Antarctic vortex dehydration in 2023 as a substantial removal pathway for Hunga Tonga-Hunga Ha'apai water vapour"

description: These data are model simulated water vapour (H2O) and ozone (O3) model mixing ratios between 2022 and 2023 that were used to create figures for the study by Zhou et al. "Antarctic vortex dehydration in 2023 as a substantial removal pathway for Hunga Tonga-Hunga Ha'apai water vapour".
We use the TOMCAT/SLIMCAT 3-D off-line chemical transport model (Chipperfield, 2006) to represent the Hunga Tonga-Hunga Ha'apai (HTHH) H2O plume and quantify its longevity and ozone impacts. The model was run at a horizontal resolution of 2.8 degrees and 32 levels from the surface to about 60 km forced with ECMWF ERA5 meteorology. 
A control simulation (file name with "MPC741") without treatment of HTHH was integrated from 1980 to October 2023. Output from run control for January 1st, 2022 was used to intialise a HTHH H2O perturbed run (run HT, file name with "MPC744") until October 2023 with the injection of 150 Tg of H2O into the low-mid stratosphere at southern subtropical latitudes. To test the possible future evolution of the HTHH H2O three further model runs were performed. These were integrated from January 1st, 2023 until 2030 using repeating ERA-5 meteorology for 2022. Run Con_2022 (file name with "MPC741__2022pd") was an extension of run control; run HT2022 was an extension of run HT (file name with "MPC744_2022pd"), and run HT2022ns (file name with "MPC744_2022pdns") was the same as run HT_2022 but had sedimentation of PSC particles turned off. Please see our paper for more information about the simulations.
DOI: 10.5281/zenodo.10200654
title: Datasets used for analysis and plotting in the study by Zhou et al. "Antarctic vortex dehydration in 2023 as a substantial removal pathway for Hunga Tonga-Hunga Ha'apai water vapour"

description: These data are model simulated water vapour (H2O) and ozone (O3) model mixing ratios between 2022 and 2023 that were used to create figures for the study by Zhou et al. "Antarctic vortex dehydration in 2023 as a substantial removal pathway for Hunga Tonga-Hunga Ha'apai water vapour".
We use the TOMCAT/SLIMCAT 3-D off-line chemical transport model (Chipperfield, 2006) to represent the Hunga Tonga-Hunga Ha'apai (HTHH) H2O plume and quantify its longevity and ozone impacts. The model was run at a horizontal resolution of 2.8 degrees and 32 levels from the surface to about 60 km forced with ECMWF ERA5 meteorology. 
A control simulation (file name with "MPC741") without treatment of HTHH was integrated from 1980 to October 2023. Output from run control for January 1st, 2022 was used to intialise a HTHH H2O perturbed run (run HT, file name with "MPC744") until October 2023 with the injection of 150 Tg of H2O into the low-mid stratosphere at southern subtropical latitudes. To test the possible future evolution of the HTHH H2O three further model runs were performed. These were integrated from January 1st, 2023 until 2030 using repeating ERA-5 meteorology for 2022. Run Con_2022 (file name with "MPC741__2022pd") was an extension of run control; run HT2022 was an extension of run HT (file name with "MPC744_2022pd"), and run HT2022ns (file name with "MPC744_2022pdns") was the same as run HT_2022 but had sedimentation of PSC particles turned off. Please see our paper for more information about the simulations.
DOI: 10.6084/m9.figshare.24624876
title: N-backs experiments (the emotional ambiguity in words)

description: Databases from two experiments: one behavioral and one eye-tracking (webcam-based).
DOI: 10.6084/m9.figshare.24624876.v1
title: N-backs experiments (the emotional ambiguity in words)

description: Databases from two experiments: one behavioral and one eye-tracking (webcam-based).
DOI: 10.5281/zenodo.10201211
title: Conservative News Media and Criminal Justice: Evidence from Exposure to Fox News Channel

description: Conservative News Media and Criminal Justice: Evidence from Exposure to Fox News Channel" (Elliott Ash and Michael Poyker), Economic Journal, 2023
DOI: 10.5281/zenodo.10201212
title: Conservative News Media and Criminal Justice: Evidence from Exposure to Fox News Channel

description: Conservative News Media and Criminal Justice: Evidence from Exposure to Fox News Channel" (Elliott Ash and Michael Poyker), Economic Journal, 2023