cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1z22mr
title: CCDC 1819254: Experimental Crystal Structure Determination

description: Related Article: Kun-Lun Cheng, Wen-Li Yuan, Ling He, Ning Tang, Hong-Mei Jian, Ying Zhao, Song Qin, Guo-Hong Tao|2018|Inorg.Chem.|57|6376|doi:10.1021/acs.inorgchem.8b00435
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.cc1z29s4
title: CCDC 1819476: Experimental Crystal Structure Determination

description: Related Article: Declan Armstrong, Sarah M. Kirk, Cormac Murphy, Antonella Guerriero, Maurizio Peruzzini, Luca Gonsalvi, Andrew D. Phillips|2018|Inorg.Chem.|57|6309|doi:10.1021/acs.inorgchem.8b00227
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: 10.14457/tu.the.2017.223
title: Deep learning for short-term electricity load forecasting

description: Forecasting of the daily load demand is a complex problem as it is to solve nonlinearity with influenced external factors. Deep learning, machine learning and artificial intelligence techniques have been successfully employed in electric consumption load predictions, financial market predictions, and reliability predictions. In this paper, we propose to use deep neural network (DNN) and recurrent neural network (RNN) with long short-term memory (LSTM) for short-term load forecasting (STLF) to overcome nonlinearity problems and to achieve higher forecasting accuracy. The historical data has been collected every 30 minutes for 24 hours from the Electricity Generating Authority of Thailand (EGAT). The proposed techniques are tested with cleaned data from 2012 to 2017 where holidays, bridging holidays, and outliers are replaced. The forecasting accuracy is measured by mean absolute percentage error (MAPE).In this research, we propose two DNN forecasting structures, i.e., 1-period and 48-periods structures are tested and compared by using the proposed model. The results show that 1-period forecasting structure give more accurate than 48-periods forecasting structure. Moreover, there are two different structures of training dataset including everyday training dataset and same day training dataset. The outcomes of deep neural network (DNN) are compared with artificial neural network (ANN) and support vector machines (SVM) with everyday training dataset. The empirical results reveal that the proposed DNN model outperforms ANN model and SVM model. Moreover, the DNN model trained with same day training datasets provides better performance than DNN trained with everyday training dataset for weekends, bridging holidays, and Monday. In addition, the DNN using same day training datasets provides higher accuracies for December and January. Consequently, the DNN model provides better forecasting accuracy in power industrial management. In addition, we train both DNN and RNN with LSTM using new collected data from 2013 to 2017. The empirical results show that RNN outperforms DNN to overcome time series data problems by keeping long data information at every time steps. From all mentioned above outcomes, deep learning models based on neural network provide reliable and robustness accuracy for STLF in power system management.
DOI: 10.14457/tu.the.2017.224
title: Effects of gamification of product life cycle concept as an active learning strategy for learning achievement and soft skills development of Thai university students

description: The purpose of this study was to identify the effects of gamification on learning achievement and soft skills development. Quasi experimental research design and one group pre-test post-test design were used as main methods of research design. This was a mixed method research study which integrated quantitative (experiments), and qualitative (interviews and observations) approaches.In this study, three experiments were conducted to test the effectiveness of an educational card game. The card game was developed to teach Product Life Cycle (PLC) concept. Selected samples consisted of undergraduate students of Thammasat and Mahidol universities. Pre-tests and Post-tests were conducted to measure learning achievement. Experiment one was divided into two groups; one group received lecture based instruction and the other group played the card game. In both situations, the post-test mean scores have increased. However, the mean score was slightly higher in the lecture group. Knowledge retention test was administered one month after the treatments for all the participants of experiment one. Mean score of knowledge retention test was slightly higher in experimental (game) group. Experiment two and three were done with different groups of students, considering game based instructions only. In both experiments, post-test scores have increased. Participants may have learned the PLC concept by playing the card game. It was visible from the Post-test results. The test papers were developed considering the first four levels of Bloom’s Taxonomy. Participants’ answers to the tests were analyzed in detail and the PLC game has helped them to answer remembering and understanding levels than other levels of the Bloom’s Taxonomy. Participants’ perception towards soft skills development, engagement, and satisfaction was measured by five-point likert scale.  They believe that the PLC game has a potential to develop critical thinking, decision making and interpersonal communication. Findings of this study revealed that, the PLC game can be used as an Active Learning Strategy for university students. The results of this study may help instructors to develop more innovative, and cooperative teaching and learning strategies to create more excitement in the classroom, and thereby increase student performance by engaging them more in classroom activities.
DOI: 10.5281/zenodo.1252916
title: Gulustan Black Sea Scientific Journal Of Academic Research

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.5281/zenodo.1252917
title: Gulustan Black Sea Scientific Journal Of Academic Research

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.18434/t4/1500892
title: Cloud of Reproducible Records

description: Cloud of Reproducible Records (CoRR) is a web platform to support computation
      version control tools such as Sumatra, Reprozip, CDE, and NoWorkflow. These tools are seen as
      support for reproducible research, yet they are facing issues in adoption when compared to
      their source code counterparts like Git, Subversion, and Mercurial. This is mostly due to the
      fact that the latter have support from web platforms dedicated to increasing their content
      exposure, i.e. Github, Bitbucket, SourceForge, etc. CoRR is a scientific social network around
      reproducible records dedicated to helping increase their adoption by boosting exposure of the
      records. The platform focuses on networking records and scientists, which makes the long-term
      survival of research reproducibility its core goal.
DOI: 10.17632/tyj2rxzjjp.1
title: Data for: Performance of a frequency-domain OFDM-frame detector

description: Each zip file corresponds to the figure presented in the manuscript. Within each zip file, there are *.mat data together with *.m file. Each plot is generated by running *.m file using MATLAB program.
DOI: 10.18434/t4/1500893
title: Dispersion and Burning Behavior of Hydrogen Released in a Full-Scale Residential Garage
      in the Presence and Absence of Conventional Automobiles Supplemental Video Materials

description: The supplemental materials reported here provide standard high-definition (HD),
      high-speed, and infrared videos of the 13 full-scale hydrogen dispersion and burning
      experiments. The videos show different burning dynamics of various hydrogen/air mixtures in
      the presence and absence of vehicles parked inside the garage.
DOI: 10.6073/pasta/17a92d4c5bfd39b5f7182852048ae2c4
title: Hubbard Brook Experimental Forest (US Forest Service): Routine Seasonal Phenology Measurements, 1989 - present

description: Spring and Fall leaf phenology observations have been made at
			9 locations at the Hubbard Brook Experimental Forest since 1989.
			Timing and progression of spring leaf out and fall senescence are
			recorded for 3 dominant tree species, sugar maple, yellow birch, and
			beech, in treated and untreated watersheds and high and low
			elevations. Weekly measurements are taken during the active period
			of the fall or spring season.
DOI: 10.17632/39k86b5f4t.1
title: Data for: Environmental hazard of ohmic-assisted hydrodistillation: a critical study on a negative aspect of this selective and economic extraction technique
DOI: 10.5281/zenodo.1253139
title: Gulustan Black Sea Scientific Journal Of Academic Research

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.5517/ccdc.csd.cc1zy7sy
title: CCDC 1845361: Experimental Crystal Structure Determination

description: Related Article: Yao Zhou|2018|CSD Communication|||
description: Related Article: Yao Zhou, Shuilin Deng, Shaoyu Mai, Qiuling Song|2018|Org.Lett.|20|6161|doi:10.1021/acs.orglett.8b02629
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: 10.6073/pasta/765084e2b4a5ec389403238c58784572
title: Hubbard Brook Experimental Forest (US Forest Service): Routine Seasonal Phenology Measurements, 1989 - present

description: Spring and Fall leaf phenology observations have been made at
			9 locations at the Hubbard Brook Experimental Forest since 1989.
			Timing and progression of spring leaf out and fall senescence are
			recorded for 3 dominant tree species, sugar maple, yellow birch, and
			beech, in treated and untreated watersheds and high and low
			elevations. Weekly measurements are taken during the active period
			of the fall or spring season.
DOI: 10.17632/rb3j7n6nzv.1
title: Data for: Residual surface circulation switch-on sea urchin recruitment along the Sinis coastline (Sardinia-Italy)

description: Natural sea urchin density and oceanographic features describing local circulation in 25 sampling sites along the Sinis Peninsula (Western Sardinia)
DOI: 10.5281/zenodo.1252454
title: Data set for "Measuring synchronization and anticipation between individual investors from their daily performance"

description: The data stored here is used as a support of the paper "Measuring<br>
synchronization and anticipation between individual investors from their<br>
daily performance" where a measure based on Mutual Information and<br>
Transfer of Entropy is used in order to map investors' behaviour and which<br>
ones are following same behavioural patterns.

The study linked to this data is published on pre-print Arxiv.org<br>
 with the following citation:

<br>
    Mario Gutiérrez-Roig, Javier Borge-Holthoeffer, Alex Arenas and<br>
    Josep Perelló. Measuring synchronization and anticipation between<br>
    individual investors from their daily performance (2018)
DOI: 10.5281/zenodo.1252455
title: Data set for "Measuring synchronization and anticipation between individual investors from their daily performance"

description: The data stored here is used as a support of the paper "Mapping individual behavior in financial markets:  synchronization and anticipation" where a measure based on Mutual Information and Transfer of Entropy is used in order to map investors' behaviour and which ones are following same behavioural patterns.

The study linked to this data is published on EPJ Data Science  with the following citation:

Mario Gutiérrez-Roig,  Javier Borge-Holthoeffer, Alex Arenas and Josep Perelló (2019). Measuring synchronization and anticipation between individual investors from their daily performance. <em>EPJ Data Science</em>, <em>8</em>(1), 10.
DOI: 10.5281/zenodo.1253138
title: Gulustan Black Sea Scientific Journal Of Academic Research

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.5281/zenodo.1253166
title: Gulustan Black Sea Scientific Journal Of Academic Research

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.5281/zenodo.1253167
title: Gulustan Black Sea Scientific Journal Of Academic Research

description: AGRICULTURAL, ENVIRONMENTAL & NATURAL SCIENCES

SOCIAL, PEDAGOGY SCIENCES & HUMANITIES

MEDICINE, VETERINARY MEDICINE, PHARMACY AND BIOLOGY SCIENCES

TECHNICAL AND APPLIED SCIENCES

REGIONAL DEVELOPMENT AND INFRASTRUCTURE

ECONOMIC, MANAGEMENT & MARKETING SCIENCES

LEGAL, LEGISLATION AND POLITICAL SCIENCES
DOI: 10.7301/z0fb51g4
title: A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding
DOI: 10.17632/2xkv7j26nk.1
title: Data for: Dealloying of a Ag-Cu-Ti alloy in liquid sodium at 350 oC

description: Measured data are provided for a paper titled as "Dealloying of a Ag-Cu-Ti alloy in liquid sodium at 350 oC"
DOI: 10.17632/59j2xxsbyx.1
title: When the Party’s Over: Political Blame Attribution under an Electoral Authoritarian Regime

description: Abstract How is perception of the state authorities affected when an economic downturn interferes with citizens’ patriotic unity? Which takes the upper hand: the euphoria born of geopolitical success or the hangover from economic misfortune? This study explores the variance in political support in Russia after the annexation of Crimea in the context of the economic crisis. Using a population-based survey experiment, we randomly assigned questions asking to assess the Crimea joining Russia, the state of economy in Russia, and both of them. Comparing the averages between the group with the question on Crimea and the group with both questions, we estimated the average treatment effect of the economic downturn undermining national consolidation in regard to evaluation of the president, the parliament (State Duma) and government effectiveness. Counterintuitively, the president’s rating only wins when patriotic unity is disturbed by the economic hardship, but this disturbance has no effect on evaluation of the parliament and the government effectiveness. We found that the euphoria somewhat suppresses the hangover and preserves the ratings of the State Duma and the government, which receive significantly lower effectiveness evaluations in situations where there is only a hangover (without emphasized patriotism).
DOI: 10.3886/icpsr00171.v1
title: National Survey of Families and Households, Wave 3: 2001-2003
title: NSFH, Wave 3
title: Version 1

description: The National Survey of Families and Households (NSFH) is a longitudinal population-based survey series that seeks to examine the causes and consequences of change in American family and household structures. NSFH Wave 3 was conducted in 2001-2003 and represents the third follow-up survey. The Wave 3 sample included interviews with all NSFH Wave 1 main respondents and spouse/partner with a focal child eligible for the NSFH Wave 2 interviews, interviews with these focal children (now aged 18-34), and interviews with all other NSFH Wave 1 main respondents aged 45 and over in the year 2000, as well as their NSFH Wave 1 spouse/partner.
description: This study has been undertaken explicitly to provide a data resource for the research community at large and was designed with advice from a large number of consultants and correspondents. The substantive coverage has been kept broad to permit the holistic analysis of family experience from an array of theoretical perspectives.
description: The study design is cross-sectional, with several retrospective sequences.
description: Response Rates: 
					57%
description: Datasets: 
					
						DS0: Study-Level Files
						DS1: Main Interview Respondents and Spouses Dataset
						DS2: Roster 1 Dataset
						DS3: Roster 2 Dataset
						DS4: Roster 3 Dataset
						DS5: Union History Dataset
						DS6: Main Respondent Marriage History Dataset
						DS7: Focal Children Dataset
						DS8: Focal Children Household Member Roster Dataset
						DS9: Focal Respondent Union History File
						DS10: Focal Respondent Marriage History File
						DS11: Proxy Interview Dataset
						DS12: Status Dataset
description: National Survey of Families and Households Series
description: computer-assisted telephone interview (CATI)
description: telephone interview
description: Non-institutionalized, English or Spanish speaking population aged 19 and older, living in households within the United States.
				   		Smallest Geographic Unit: Region
description: Only a subset of the wave 1 sample was selected to re-interview due to budgetary constraints; parents of young adult children and respondents in mid-to-later life. The parent sample was comprised of main respondents with an eligible focal child. Focal children were eligible for a wave 3 interview if they were at least 3 years of age at wave 1 and had been eligible for a wave 2 interview (at least 10 years of age at time 2). All focal children were 18-34 years of age when interviewed at wave 3.  The mid-to-later life sample was comprised of main respondents who did not have eligible focal children but who were 45 years and older at wave 3.  The wave 3 sample did not include new spouses or partners currently living with the main respondent if different from the time 1 spouse or partner. Parents of the main respondents were also not selected for the sample. The total sample size was 18,554.
DOI: 10.3886/icpsr00171.v2
title: National Survey of Families and Households, Wave 3: 2001-2003
title: NSFH, Wave 3
title: Version 2

description: The National Survey of Families and Households (NSFH) is a longitudinal population-based survey series that seeks to examine the causes and consequences of change in American family and household structures. NSFH Wave 3 was conducted in 2001-2003 and represents the third follow-up survey. The Wave 3 sample included interviews with all NSFH Wave 1 main respondents and spouse/partner with a focal child eligible for the NSFH Wave 2 interviews, interviews with these focal children (now aged 18-34), and interviews with all other NSFH Wave 1 main respondents aged 45 and over in the year 2000, as well as their NSFH Wave 1 spouse/partner.
description: This study has been undertaken explicitly to provide a data resource for the research community at large and was designed with advice from a large number of consultants and correspondents. The substantive coverage has been kept broad to permit the holistic analysis of family experience from an array of theoretical perspectives.
description: The study design is cross-sectional, with several retrospective sequences.
description: Response Rates: 
					57%
description: Datasets: 
					
						DS0: Study-Level Files
						DS1: Main Interview Respondents and Spouses Dataset
						DS2: Roster 1 Dataset
						DS3: Roster 2 Dataset
						DS4: Roster 3 Dataset
						DS5: Union History Dataset
						DS6: Main Respondent Marriage History Dataset
						DS7: Focal Children Dataset
						DS8: Focal Children Household Member Roster Dataset
						DS9: Focal Respondent Union History File
						DS10: Focal Respondent Marriage History File
						DS11: Proxy Interview Dataset
						DS12: Status Dataset
description: National Survey of Families and Households Series
description: computer-assisted telephone interview (CATI)
description: telephone interview
description: Non-institutionalized, English or Spanish speaking population aged 19 and older, living in households within the United States.
				   		Smallest Geographic Unit: Region
description: Only a subset of the wave 1 sample was selected to re-interview due to budgetary constraints; parents of young adult children and respondents in mid-to-later life. The parent sample was comprised of main respondents with an eligible focal child. Focal children were eligible for a wave 3 interview if they were at least 3 years of age at wave 1 and had been eligible for a wave 2 interview (at least 10 years of age at time 2). All focal children were 18-34 years of age when interviewed at wave 3.  The mid-to-later life sample was comprised of main respondents who did not have eligible focal children but who were 45 years and older at wave 3.  The wave 3 sample did not include new spouses or partners currently living with the main respondent if different from the time 1 spouse or partner. Parents of the main respondents were also not selected for the sample. The total sample size was 18,554.
DOI: 10.5281/zenodo.1252798
title: Fluid Samples From Gingival Pockets

description: Fluid samples from their deepest gingival pocket from a series of hospitalized neurosurgical patients undergoing preoperative dental screening (n=60). The patients were asked whether they brushed their teeth two times a day, once a day and less than every day. For further information or re-use please contact the authors.
description: The study has been financially supported by Jane and Aatos Erkko Foundation (T.P.), Competitive State Research Financing of the Expert Responsibility area of Tampere University Hospital (T.L, P.J.K and T.P), the Academy of Finland (Grant no. 286284 for T.L.), Tampere Tuberculosis Foundation (T.L, P.J.K.,T.P.), the Academy of Finland (grant 286284 for T.L), Laboratory Medicine Foundation (K.S., T.P.), Finnish Clinical Chemistry Foundation (T.P).
DOI: 10.5281/zenodo.1252799
title: Fluid Samples From Gingival Pockets

description: Fluid samples from their deepest gingival pocket from a series of hospitalized neurosurgical patients undergoing preoperative dental screening (n=60). The patients were asked whether they brushed their teeth two times a day, once a day and less than every day. For further information or re-use please contact the authors.
description: The study has been financially supported by Jane and Aatos Erkko Foundation (T.P.), Competitive State Research Financing of the Expert Responsibility area of Tampere University Hospital (T.L, P.J.K and T.P), the Academy of Finland (Grant no. 286284 for T.L.), Tampere Tuberculosis Foundation (T.L, P.J.K.,T.P.), the Academy of Finland (grant 286284 for T.L), Laboratory Medicine Foundation (K.S., T.P.), Finnish Clinical Chemistry Foundation (T.P).