cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1mvv4g
title: CCDC 1515346: Experimental Crystal Structure Determination

description: Related Article: Xi-qiang Tian, Ying Liu, Yan-ping Dong|2020|Inorg.Nano-Metal Chem.|50|251|doi:10.1080/24701556.2019.1711120
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.cc1mvw1d
title: CCDC 1515374: Experimental Crystal Structure Determination

description: Related Article: V.A.Vasin, Yu.A.Popkova, Ye.V.Bezrukova, V.V.Razin, N.V.Somov|2018|Zh.Org.Khim.|54|1189|doi:10.1134/S1070428018080122
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.cc1mvw2f
title: CCDC 1515375: Experimental Crystal Structure Determination

description: Related Article: Francisco Sepúlveda, M. Carmen Carrión, Andrew D. Phillips, Félix A. Jalón, Paul J. Dyson, Blanca R. Manzano|2017|Eur.J.Inorg.Chem.|2017|630|doi:10.1002/ejic.201601207
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.cc1mvw3g
title: CCDC 1515376: Experimental Crystal Structure Determination

description: Related Article: Francisco Sepúlveda, M. Carmen Carrión, Andrew D. Phillips, Félix A. Jalón, Paul J. Dyson, Blanca R. Manzano|2017|Eur.J.Inorg.Chem.|2017|630|doi:10.1002/ejic.201601207
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.cc1mvwcq
title: CCDC 1515384: Experimental Crystal Structure Determination

description: Related Article: Kuheli Das, Shruti Mendiratta, Amitabha Datta, Chiara Massera, Belete B. Beyene, Chen-Hsiung Hung|2017|Chem. Sel.|2|3831|doi:10.1002/slct.201602065
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.cc1mvwdr
title: CCDC 1515385: Experimental Crystal Structure Determination

description: Related Article: Kuheli Das, Shruti Mendiratta, Amitabha Datta, Chiara Massera, Belete B. Beyene, Chen-Hsiung Hung|2017|Chem. Sel.|2|3831|doi:10.1002/slct.201602065
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.cc1mvwfs
title: CCDC 1515386: Experimental Crystal Structure Determination

description: Related Article: Mohammed A. Khedr, Melendhran Pillay, Sandeep Chandrashekharappa, Deepak Chopra, Bandar E. Aldhubiab, Mahesh Attimarad, Osama Ibrahim Alwassil, Koleka Mlisana, Bharti Odhav, Katharigatta N. Venugopala|2017|J.Biomol.Struct.Dyn.|36|1|doi:10.1080/07391102.2017.1345325
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.cc1mvwly
title: CCDC 1515391: Experimental Crystal Structure Determination

description: Related Article: Bao Gao, Guoying Zhang, Xibing Zhou, Hanmin Huang|2018|Chemical Science|9|380|doi:10.1039/C7SC04054G
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: 10.15468/dl.ey5rn2
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphioplus japonicus"
 ]
}

 The dataset includes 341 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054240-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17431176
title: Dataset of AI Robo-Advisor Adoption Impact on  Financial Inclusion, Financial Literacy, and  Investment Habit of Millennial and Gen Z  Retail Investor in Indonesia

description: The emergence of artificial intelligence (AI) driven robo-advisors (RA) is a key innovation in the financial sector. RA is a digital platform that provides automated, algorithm-driven financial planning and portfolio management at a fraction of the cost of traditional advisors, thus democratizing professional portfolio management for the masses. This study aims to provide a comprehensive analysis of the role RA plays in transforming modern investment practices and enhancing the financial well being of this digitally-native demographic. The data is analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). 

Files attached is the dataset used to test the hypothesis analysis in this research.
DOI: 10.5281/zenodo.17431175
title: Dataset of AI Robo-Advisor Adoption Impact on  Financial Inclusion, Financial Literacy, and  Investment Habit of Millennial and Gen Z  Retail Investor in Indonesia

description: The emergence of artificial intelligence (AI) driven robo-advisors (RA) is a key innovation in the financial sector. RA is a digital platform that provides automated, algorithm-driven financial planning and portfolio management at a fraction of the cost of traditional advisors, thus democratizing professional portfolio management for the masses. This study aims to provide a comprehensive analysis of the role RA plays in transforming modern investment practices and enhancing the financial well being of this digitally-native demographic. The data is analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). 

Files attached is the dataset used to test the hypothesis analysis in this research.
DOI: 10.5281/zenodo.17423196
title: Stock Price Dataset for Portfolio Optimization Study

description: This dataset contains adjusted closing prices for 27 major U.S. companies over a continuous 10-year period from 2014-12-31 to 2024-12-30.  

It serves as the empirical foundation for the study “Portfolio Optimization Decision with Stock Return Forecasting Driven by LSTM–KAN.” 

Each record corresponds to a trading observation within this period, and each column (except `Date`) represents the adjusted closing price of a specific company. No missing values or preprocessing steps were applied.
DOI: 10.5281/zenodo.17430978
title: Stock Price Dataset for Portfolio Optimization Study

description: This dataset contains adjusted closing prices for 27 major U.S. companies over a continuous 10-year period from 2014-12-31 to 2024-12-30.  

It serves as the empirical foundation for the study “Portfolio Optimization Decision with Stock Return Forecasting Driven by LSTM–KAN.” 

Each record corresponds to a trading observation within this period, and each column (except `Date`) represents the adjusted closing price of a specific company. No missing values or preprocessing steps were applied.
DOI: 10.5281/zenodo.17431252
title: Contrast preference: Three-Alternative Choice vs slider-based experiment

description: This dataset contains individual contrast preference values from 15 observers for 499 images. The data were gathered through two separate experiments: a Three-Alternative Choice experiment and a slider-based experiment. The results from the two experiments are significantly different. Further details and analysis can be found in the associated paper referenced below. Outliers have been excluded from the dataset.

Publication: Cherepkova, O.; Amirshahi, S. and Pedersen, M. (2024). A Comparative Analysis of the Three-Alternative Forced Choice Method and the Slider-Based Method in Subjective Experiments: A Case Study on Contrast Preference Task. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 425-435. DOI: 10.5220/0012360500003660
DOI: 10.5281/zenodo.17431253
title: Contrast preference: Three-Alternative Choice vs slider-based experiment

description: This dataset contains individual contrast preference values from 15 observers for 499 images. The data were gathered through two separate experiments: a Three-Alternative Choice experiment and a slider-based experiment. The results from the two experiments are significantly different. Further details and analysis can be found in the associated paper referenced below. Outliers have been excluded from the dataset.

Publication: Cherepkova, O.; Amirshahi, S. and Pedersen, M. (2024). A Comparative Analysis of the Three-Alternative Forced Choice Method and the Slider-Based Method in Subjective Experiments: A Case Study on Contrast Preference Task. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 425-435. DOI: 10.5220/0012360500003660
DOI: 10.15468/dl.usn2n5
title: Occurrence Download

description: A dataset containing 37638 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphipholis squamata"
 ]
}

 The dataset includes 37638 records from 370 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054241-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpv4ev
title: Occurrence Download

description: A dataset containing 130130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Swiss National Mammal Databank, Tayside Beaver Survey 2017-18, iNaturalist Research-grade Observations, Survey of the Tayside Area Beaver Population, 2020-2021, Norwegian Species Observation Service, VMM - Rat control occurrences in Flanders, Belgium, Biodiversitätsdatenbank Salzburg)",
 "TaxonKey is Castor fiber",
 "Year 2010-2025"
 ]
}

 The dataset includes 130130 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054233-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vjdwv
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence)",
 "Country is India",
 "Geometry POLYGON((87.83419 21.13368,97.61242 21.13368,97.61242 29.36666,87.83419 29.36666,87.83419 21.13368))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Martes flavigula",
 "Year 2000-2025"
 ]
}

 The dataset includes 53 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054243-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kd3ztr
title: Occurrence Download

description: A dataset containing 423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pseudois nayaur"
 ]
}

 The dataset includes 423 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054244-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds006488.v1.0.0
title: Multimodal ultra-high-field MRI, clinical, cognitive, and genetic profiles across the ALS–FTD spectrum.
DOI: 10.15468/dl.xdkpu7
title: Occurrence Download

description: A dataset containing 2630 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Antipathes dendrochristos"
 ]
}

 The dataset includes 2630 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054245-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76ypkr
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Picris hieracioides"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054247-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15125/bath-01216
title: Dataset for, "An RCT study showing few weeks of music lessons enhance audio-visual temporal processing"

description: This dataset includes data on behavioural outcomes for the audio-visual simultaneity judgement task and emotion recognition task used in the publication, "An RCT study showing few weeks of music lessons enhance audio-visual temporal processing". In this study, the authors investigated the effect of eleven weeks of piano lessons on audio-visual temporal processing and emotion recognition abilities in adults. The data is organised to facilitate replication of the analyses carried out in this study, which includes the raw data of the two tasks mentioned above collected from each participant over seven data-collection sessions.  A 'Read-me-first' file is included in both data folders that introduce the structure of the data, the meaning of the file names, and how to interpret the raw data.
description: This dataset contains data for behavioural outcomes from the audio-visual simultaneity judgement (SJ) and emotion recognition (ER) tasks described in the paper: "An RCT study showing few weeks of music lessons enhance audio-visual temporal processing". In the SJ task, participants judged whether the presented auditory and visual cues were synchronised by making a key press. The SJ task included two types of audio-visual cues, which are the flash and beep, and the face and voice. In the ER task, participants made emotional judgements about dynamic facial expression stimuli, having to classify them as being either joy, sadness, fear, anger, disgust, surprise, or neutral by making a speeded mouse click on the target emotion. Three levels of emotional intensity (low, medium, and high) were included for all the emotions except the neutral.

Participants were screened before being recruited in the study so that only non-musician adults with normal or adjust-to-normal vision and hearing were included. This study used a parallel group RCT design. We did not include blinding in this study as the design required participants’ active involvement in certain conditions. The experimenter had to know and run the sessions, with the experimenter also serving as the trainer. However, the experimenter had no control over the group allocation process as the participants were randomly assigned to their group at the beginning of the study.
description: All the data in this dataset has been anonymised prior to sharing.
description: The simultaneity judgement task data is stored as .txt files therefore no special software is required to view them.
The emotion recognition task data is also stored as .txt files. However, a MATLAB program is required to process these files and get further data of interest (average accuracy and reaction time for correct responses). The details of data processing have been provided in the Read-me-first.txt under the emotion recognition task folder. The code of the MATLAB program used for data processing (Emotion_analysis.m) is also included in the same folder.
description: Information on the layout of the data has been provided in the Read-me-first.txt under each folders.
DOI: 10.15468/dl.8fyzbk
title: Occurrence Download

description: A dataset containing 252515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen, Occurrence evidence, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hirundo smithii"
 ]
}

 The dataset includes 252515 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054204-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/fv5mrx
title: Replication Data for: Listening to an Authoritarian Neighbor: Russian Propaganda on Chinese Social Media after the Ukraine Invasion (Political Research Quarterly)

description: copyfromabstract: Authoritarian states actively engage in cross-border propaganda. While the effects and the narratives of this propaganda targeting democracies have been studied in the past, little attention has been paid to how sudden and significant geopolitical events influence the engagement of authoritarian propaganda in other like-minded states. This study closes the gap by looking at Russia’s propaganda in Chinese social media platform Weibo. We look at how users of the platform reacted on messages spread by Russia Today (RT) and Sputnik after the full-scale invasion against Ukraine. Applying computational text analysis and regression analysis we show that although the outbreak of the war led to a surge in Russian propaganda—especially anti-Western and war-related narratives—Chinese audiences exhibited a pronounced tendency to engage primarily with narratives highlighting non-Western cooperation, reflecting a strong alignment with the Chinese government’s domestic propaganda.
DOI: 10.15468/dl.n7pzpf
title: Occurrence Download

description: A dataset containing 2382 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Geometry MULTIPOLYGON (((-2.564711 39.65351, -2.564171 39.65079, -2.560841 39.64274, -2.560367 39.64201, -2.55944 39.63734, -2.556112 39.62928, -2.552834 39.62425, -2.546451 39.61738, -2.541322 39.61337, -2.540552 39.61293, -2.536549 39.60981, -2.527738 39.6048, -2.521261 39.60221, -2.510882 39.59956, -2.50802 39.59919, -2.507288 39.59841, -2.50375 39.59516, -2.499895 39.59215, -2.498831 39.59144, -2.495747 39.58938, -2.49133 39.58686, -2.486672 39.58463, -2.481802 39.58268, -2.478273 39.58153, -2.466749 39.57946, -2.454992 39.58048, -2.444349 39.58448, -2.44217 39.58569, -2.440006 39.58699, -2.438609 39.5879, -2.436583 39.58933, -2.428805 39.59527, -2.42693 39.59682, -2.425734 39.59789, -2.424022 39.59955, -2.423539 39.60006, -2.423081 39.60031, -2.420915 39.60162, -2.419518 39.60253, -2.417491 39.60396, -2.40971 39.6099, -2.407834 39.61145, -2.406638 39.61252, -2.404925 39.61418, -2.402763 39.61644, -2.401223 39.6182, -2.400258 39.6194, -2.398901 39.62125, -2.39387 39.62876, -2.392704 39.63068, -2.391993 39.63198, -2.391026 39.63397, -2.389876 39.63664, -2.389113 39.63868, -2.388826 39.63958, -2.38781 39.64659, -2.389176 39.65357, -2.392833 39.66003, -2.393841 39.66132, -2.395098 39.66268, -2.394951 39.66337, -2.394483 39.6676, -2.394459 39.67041, -2.394852 39.67465, -2.396492 39.68301, -2.397737 39.68714, -2.398501 39.68899, -2.398992 39.6915, -2.400238 39.69563, -2.401342 39.69832, -2.403409 39.70225, -2.40521 39.70502, -2.405354 39.7061, -2.407681 39.71339, -2.409511 39.71691, -2.412224 39.72326, -2.413694 39.72577, -2.413635 39.72579, -2.415064 39.72846, -2.417722 39.73246, -2.421814 39.73752, -2.429497 39.74423, -2.435509 39.74798, -2.44561 39.75238, -2.452881 39.75441, -2.4585 39.75558, -2.460932 39.75593, -2.466432 39.75636, -2.473779 39.75649, -2.4847 39.75534, -2.490351 39.75402, -2.491734 39.7537, -2.50165 39.74998, -2.507672 39.74673, -2.515599 39.74082, -2.516615 39.73978, -2.521596 39.73264, -2.523608 39.72468, -2.522947 39.71999, -2.526955 39.71777, -2.532144 39.7138, -2.538626 39.70698, -2.540935 39.70353, -2.54242 39.7027, -2.546472 39.6996, -2.547106 39.69925, -2.552293 39.69529, -2.558771 39.68847, -2.562115 39.68346, -2.565548 39.67543, -2.566724 39.66986, -2.566777 39.66141, -2.565671 39.65583, -2.564711 39.65351)))"
 ]
}

 The dataset includes 2382 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054248-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.