cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1337914.v2
title: My Virtual Dream - EEG - data - Oct 5-6, 2013

description: Data from My Virtual Dream installation Oct5-6, 2013.
Data are organized in subject-specific matlab files, according to session number (1-29), pod number (1-4) and player number (1-5). Only complete data sets are included. These data are partially preprocessed: for each subject, we extracted condition specific EEG time series resampled to 256Hz. Each .mat file contains the following fields:
<strong>session</strong> -- number -- session number (1-29), the same asin the filename.Data were acquired in 29 sessions,from7pm to 7 am.
<strong>pod</strong> -- number -- pod number (1-4). During each session there were 20 subjects, divided into4 pods of 5.
<strong>position</strong> -- number -- position within pod (1-5, sitting arnagement from left to right)
<strong>age</strong> -- number -- subject's age in years
<strong>sex</strong> -- string -- 'f' or 'm'
<strong>srate</strong> -- number -- sampling rate is the sme for all subjects: 256Hz
<strong>chan_names</strong> -- cell array of strings -- names of 4 channels given in the same order as EEG data
<strong>conditions</strong> -- cell array of strings -- names of conditions
<strong>cond_eeg</strong> -- cell array of 2D matrices -- conditition specific EEG data in time x channel format
<strong>aP</strong> -- 1D array -- condition specific aP performance measure (number of a+ states divided by number of a- states during first 20 seconds of the condition)
<strong>bP</strong> -- 1D array -- condition specific bP performance measure (number of b+ states divided by number of b- states during first 20 seconds of the condition)
DOI: 10.6084/m9.figshare.1337914.v3
title: My Virtual Dream - EEG data - Oct 5-6, 2013

description: Data from My Virtual Dream installation Oct 5-6, 2013.
Research article with full description of the data : TBA
Data are organized in subject-specific matlab files, according to session number (1-29), pod number (1-4) and player number (1-5). Entire experiment was performed in 29 sessions, from 7pm, Oct 5, 2013 to 6:30am Oct 6, 2013. During each session there were 20 subjects, divided into 4 pods of 5 subjects. Only complete, partially preprocessed, data sets are included. For each subject, condition specific EEG time series were extracted and resampled to 256Hz.
Subject's .mat file contains the following variables:
<strong>session</strong> -- number -- session number (1-29), the same as in the filename
<strong>pod</strong> -- number -- pod number (1-4). 
<strong>position</strong> -- number -- subject's position within pod (1-5, sitting arrangement from left to right)
<strong>age</strong> -- number -- subject's age in years
<strong>sex</strong> -- string -- 'f' or 'm'
<strong>srate</strong> -- number -- sampling rate is the same for all subjects: 256Hz
<strong>chan_names</strong> -- cell array of strings -- names of 4 EEG channels, given in the same order as EEG data
<strong>conditions</strong> -- cell array of strings -- names of conditions
<strong>cond_eeg</strong> -- cell array of 2D matrices -- conditition specific EEG data in (time x channel) format
<strong>aP</strong> -- 1D array -- condition specific aP performance measure (number of a+ states divided by number of a- states during first 20 seconds of the condition)
<strong>bP</strong> -- 1D array -- condition specific bP performance measure (number of b+ states divided by number of b- states during first 20 seconds of the condition)
DOI: 10.6084/m9.figshare.1339892
title: Natural Variants of ELF3 Affect Thermomorphogenesis by Transcriptionally Modulating PIF4-Dependent Auxin Response Genes

description: Supplementary Dataset
DOI: 10.6084/m9.figshare.1339892.v1
title: Natural Variants of ELF3 Affect Thermomorphogenesis by Transcriptionally Modulating PIF4-Dependent Auxin Response Genes

description: Supplementary Dataset
DOI: 10.6084/m9.figshare.1341888
title: The Frequency of Patient-initiated Violence and Its Psychological Impact on Physicians in China: A Cross-sectional Study

description: This study examined different frequency levels of specific types of violence and their relationship with physicians’ psychological variables, including emotional exhaustion, job satisfaction, and intention to leave .Using a stratified random sampling method, the participants were drawn from 123 public hospitals in Shanghai, Hubei, and Gansu provinces in China from June through October in 2013, and 1,656 valid self-report questionnaires were collected.
DOI: 10.6084/m9.figshare.1341888.v1
title: The Frequency of Patient-initiated Violence and Its Psychological Impact on Physicians in China: A Cross-sectional Study

description: This study examined different frequency levels of specific types of violence and their relationship with physicians’ psychological variables, including emotional exhaustion, job satisfaction, and intention to leave .Using a stratified random sampling method, the participants were drawn from 123 public hospitals in Shanghai, Hubei, and Gansu provinces in China from June through October in 2013, and 1,656 valid self-report questionnaires were collected.
DOI: 10.6084/m9.figshare.1344805
title: Effects of Mathematics Anxiety and Mathematical Metacognition on Word Problem Solving in Children with and without Mathematical Learning Difficulties

description: N/A
DOI: 10.6084/m9.figshare.1344805.v1
title: Effects of Mathematics Anxiety and Mathematical Metacognition on Word Problem Solving in Children with and without Mathematical Learning Difficulties

description: N/A
DOI: 10.6084/m9.figshare.1352039
title: Knowledge of HIV serodiscordance, transmission, and prevention among couples in

description: Knowledge of HIV serodiscordance, transmission, and prevention among couples in Durban, South Africa
DOI: 10.6084/m9.figshare.1352039.v1
title: Knowledge of HIV serodiscordance, transmission, and prevention among couples in

description: Knowledge of HIV serodiscordance, transmission, and prevention among couples in Durban, South Africa
DOI: 10.6084/m9.figshare.1355850
title: Palaeoproterozoic magmatic–metamorphic history of the Quanji Massif, Northwest China: implications for a single North China-Quanji-Tarim craton within the Columbia supercontinent?

description: The Quanji Massif (QM), in the northeast part of Tibet, consists of Palaeoproterozoic metamorphic rocks, granitoids, and mafic dikes. U–Pb dating of a diorite gneiss and a mafic dike in the QM yielded a crystallization age of 2272 ± 15 Ma and a metamorphic age of 1928 ± 11 Ma, respectively. Although some post-emplacement alteration has occurred, the mafic dikes display a sub-alkaline signature with slight light rare earth element-enrichment, depletion in Th, Nb, Ta, and Ti, and have a rare earth element pattern consistent with volcanic arc basalts. Based on the geochronology and field relationships, we conclude that the mafic dikes formed in an extensional setting within either a fore-arc or back-arc environment. We argue that the metamorphism that affected the dikes occurred shortly after intrusion. Our diorite gneiss and monzodiorite samples are characterized by relatively high Mg# (47–56) and Sr contents (367–1070 ppm), low-to-moderate Sr/Y (10–90), low Rb/Sr (0.03–0.28) and high K/Rb (179–775). These felsic melts likely originated from partial melting of a mafic source. Our new data, combined with results from previous studies, indicate that the QM formed between 2.50 and 2.30 Ga and underwent metamorphism around 1.95–1.75 Ga that may relate to the dispersal of Neoarchaean ‘Kenorland’ and the formation of the Columbia supercontinent. The similarity between the Palaeoproterozoic events in the Tiekelik, North Altyn–Dunhuang, Alashan blocks, and QM suggests that QM was part of either the Tarim or the North China Craton in the late Archaean and Palaeoproterozoic. If the model is correct, then there was a single ‘North China–Quanji–Tarim Craton’ that was later disrupted by Neoproterozoic to Phanerozoic tectonic events.
DOI: 10.6084/m9.figshare.1355850.v1
title: Palaeoproterozoic magmatic–metamorphic history of the Quanji Massif, Northwest China: implications for a single North China-Quanji-Tarim craton within the Columbia supercontinent?

description: The Quanji Massif (QM), in the northeast part of Tibet, consists of Palaeoproterozoic metamorphic rocks, granitoids, and mafic dikes. U–Pb dating of a diorite gneiss and a mafic dike in the QM yielded a crystallization age of 2272 ± 15 Ma and a metamorphic age of 1928 ± 11 Ma, respectively. Although some post-emplacement alteration has occurred, the mafic dikes display a sub-alkaline signature with slight light rare earth element-enrichment, depletion in Th, Nb, Ta, and Ti, and have a rare earth element pattern consistent with volcanic arc basalts. Based on the geochronology and field relationships, we conclude that the mafic dikes formed in an extensional setting within either a fore-arc or back-arc environment. We argue that the metamorphism that affected the dikes occurred shortly after intrusion. Our diorite gneiss and monzodiorite samples are characterized by relatively high Mg# (47–56) and Sr contents (367–1070 ppm), low-to-moderate Sr/Y (10–90), low Rb/Sr (0.03–0.28) and high K/Rb (179–775). These felsic melts likely originated from partial melting of a mafic source. Our new data, combined with results from previous studies, indicate that the QM formed between 2.50 and 2.30 Ga and underwent metamorphism around 1.95–1.75 Ga that may relate to the dispersal of Neoarchaean ‘Kenorland’ and the formation of the Columbia supercontinent. The similarity between the Palaeoproterozoic events in the Tiekelik, North Altyn–Dunhuang, Alashan blocks, and QM suggests that QM was part of either the Tarim or the North China Craton in the late Archaean and Palaeoproterozoic. If the model is correct, then there was a single ‘North China–Quanji–Tarim Craton’ that was later disrupted by Neoproterozoic to Phanerozoic tectonic events.
DOI: 10.6084/m9.figshare.1355850.v2
title: Palaeoproterozoic magmatic–metamorphic history of the Quanji Massif, Northwest China: implications for a single North China-Quanji-Tarim craton within the Columbia supercontinent?

description: The Quanji Massif (QM), in the northeast part of Tibet, consists of Palaeoproterozoic metamorphic rocks, granitoids, and mafic dikes. U–Pb dating of a diorite gneiss and a mafic dike in the QM yielded a crystallization age of 2272 ± 15 Ma and a metamorphic age of 1928 ± 11 Ma, respectively. Although some post-emplacement alteration has occurred, the mafic dikes display a sub-alkaline signature with slight light rare earth element-enrichment, depletion in Th, Nb, Ta, and Ti, and have a rare earth element pattern consistent with volcanic arc basalts. Based on the geochronology and field relationships, we conclude that the mafic dikes formed in an extensional setting within either a fore-arc or back-arc environment. We argue that the metamorphism that affected the dikes occurred shortly after intrusion. Our diorite gneiss and monzodiorite samples are characterized by relatively high Mg# (47–56) and Sr contents (367–1070 ppm), low-to-moderate Sr/Y (10–90), low Rb/Sr (0.03–0.28) and high K/Rb (179–775). These felsic melts likely originated from partial melting of a mafic source. Our new data, combined with results from previous studies, indicate that the QM formed between 2.50 and 2.30 Ga and underwent metamorphism around 1.95–1.75 Ga that may relate to the dispersal of Neoarchaean ‘Kenorland’ and the formation of the Columbia supercontinent. The similarity between the Palaeoproterozoic events in the Tiekelik, North Altyn–Dunhuang, Alashan blocks, and QM suggests that QM was part of either the Tarim or the North China Craton in the late Archaean and Palaeoproterozoic. If the model is correct, then there was a single ‘North China–Quanji–Tarim Craton’ that was later disrupted by Neoproterozoic to Phanerozoic tectonic events.
DOI: 10.6084/m9.figshare.1357640
title: 8 data: Timing and spatial distribution of loess in Xinjiang, NW China

description: The data of Figure 8.
Figure 8 Map showing the contours of the &gt;63 μm particle component of topsoil in Xinjiang: (A) the Junggar Basin; (B) the Tarim Basin; and (C) the Ili Basin. Cross symbols represent our sampling sites, dots represent the city/county, and arrows represent the possible wind direction.
DOI: 10.6084/m9.figshare.1369526
title: MicroRNAs expression profile of C4-2B cells with/without metformin treatment

description: MicroRNA array was performed with total RNA from C4-2B cells (n=3) treated with or without metformin (final concentration=5 mM) for 48h.
DOI: 10.6084/m9.figshare.1378729
title: Major and trace elements of abyssal peridotites: evidence for melt refertilization beneath the ultraslow-spreading Southwest Indian Ridge (53° E segment)

description: This study examines the geochemistry of major and trace elements of abyssal peridotites from the Southwest Indian Ridge (SWIR) (53° E amagmatic segment), to determine the influence of mafic melts on mantle peridotites during melt extraction. The results show a great geochemical variability in the ~90 km-long ridge segment, with a degree of mantle melting ranging from 4% to 24%. An ancient melting event may explain the presence of highly depleted peridotites at the ultraslow-spreading ridge. The 53° E segment peridotites show enrichment of light rare earth elements (LREEs) (average La<i><sub>N</sub></i>/Sm<i><sub>N</sub> </i>= 1.87) and significant positive anomaly of U and Pb normalized to primitive mantle (PM). The positive correlations between LREEs (La, Ce, Pr, Nd) and high field strength elements (HFSEs; e.g. Nb and Zr) suggest that the enrichment of LREEs is caused by melt refertilization, which is also supported by prevalent magmatic microstructures in the peridotites. The melt refertilization model shows that the addition of 0.02–2.7% basaltic melts to peridotites can be responsible for the LREE enrichment. We suggest that the positive anomaly of U is probably attributed to fluid alteration whereas the enrichment of Pb is probably attributed to both melt refertilization and fluid alteration. Melt refertilization in the 53° E segment peridotites may be a result of melt–rock reaction and crystallization of melts trapped in peridotites. These processes may be enhanced by increased melt permeability in the mantle owing to the refractory peridotites produced by ancient melting and the decreasing efficiency of melt extraction in the cold and thick lithosphere at the 53° E ridge segment. The presence of melt refertilization implies that melt extraction is incomplete in the ridge mantle, which may be one of the reasons for the extremely thin and irregular variation of the crustal thickness at ultraslow-spreading ridges.
DOI: 10.6084/m9.figshare.1378729.v1
title: Major and trace elements of abyssal peridotites: evidence for melt refertilization beneath the ultraslow-spreading Southwest Indian Ridge (53° E segment)

description: This study examines the geochemistry of major and trace elements of abyssal peridotites from the Southwest Indian Ridge (SWIR) (53° E amagmatic segment), to determine the influence of mafic melts on mantle peridotites during melt extraction. The results show a great geochemical variability in the ~90 km-long ridge segment, with a degree of mantle melting ranging from 4% to 24%. An ancient melting event may explain the presence of highly depleted peridotites at the ultraslow-spreading ridge. The 53° E segment peridotites show enrichment of light rare earth elements (LREEs) (average La<i><sub>N</sub></i>/Sm<i><sub>N</sub> </i>= 1.87) and significant positive anomaly of U and Pb normalized to primitive mantle (PM). The positive correlations between LREEs (La, Ce, Pr, Nd) and high field strength elements (HFSEs; e.g. Nb and Zr) suggest that the enrichment of LREEs is caused by melt refertilization, which is also supported by prevalent magmatic microstructures in the peridotites. The melt refertilization model shows that the addition of 0.02–2.7% basaltic melts to peridotites can be responsible for the LREE enrichment. We suggest that the positive anomaly of U is probably attributed to fluid alteration whereas the enrichment of Pb is probably attributed to both melt refertilization and fluid alteration. Melt refertilization in the 53° E segment peridotites may be a result of melt–rock reaction and crystallization of melts trapped in peridotites. These processes may be enhanced by increased melt permeability in the mantle owing to the refractory peridotites produced by ancient melting and the decreasing efficiency of melt extraction in the cold and thick lithosphere at the 53° E ridge segment. The presence of melt refertilization implies that melt extraction is incomplete in the ridge mantle, which may be one of the reasons for the extremely thin and irregular variation of the crustal thickness at ultraslow-spreading ridges.
DOI: 10.6084/m9.figshare.1378729.v2
title: Major and trace elements of abyssal peridotites: evidence for melt refertilization beneath the ultraslow-spreading Southwest Indian Ridge (53° E segment)

description: This study examines the geochemistry of major and trace elements of abyssal peridotites from the Southwest Indian Ridge (SWIR) (53° E amagmatic segment), to determine the influence of mafic melts on mantle peridotites during melt extraction. The results show a great geochemical variability in the ~90 km-long ridge segment, with a degree of mantle melting ranging from 4% to 24%. An ancient melting event may explain the presence of highly depleted peridotites at the ultraslow-spreading ridge. The 53° E segment peridotites show enrichment of light rare earth elements (LREEs) (average La<i><sub>N</sub></i>/Sm<i><sub>N</sub> </i>= 1.87) and significant positive anomaly of U and Pb normalized to primitive mantle (PM). The positive correlations between LREEs (La, Ce, Pr, Nd) and high field strength elements (HFSEs; e.g. Nb and Zr) suggest that the enrichment of LREEs is caused by melt refertilization, which is also supported by prevalent magmatic microstructures in the peridotites. The melt refertilization model shows that the addition of 0.02–2.7% basaltic melts to peridotites can be responsible for the LREE enrichment. We suggest that the positive anomaly of U is probably attributed to fluid alteration whereas the enrichment of Pb is probably attributed to both melt refertilization and fluid alteration. Melt refertilization in the 53° E segment peridotites may be a result of melt–rock reaction and crystallization of melts trapped in peridotites. These processes may be enhanced by increased melt permeability in the mantle owing to the refractory peridotites produced by ancient melting and the decreasing efficiency of melt extraction in the cold and thick lithosphere at the 53° E ridge segment. The presence of melt refertilization implies that melt extraction is incomplete in the ridge mantle, which may be one of the reasons for the extremely thin and irregular variation of the crustal thickness at ultraslow-spreading ridges.
DOI: 10.6084/m9.figshare.1378734
title: Estimation Stability With Cross-Validation (ESCV)

description: Cross-validation (CV) is often used to select the regularization parameter in high-dimensional problems. However, when applied to the sparse modeling method Lasso, CV leads to models that are unstable in high-dimensions, and consequently not suited for reliable interpretation. In this article, we propose a model-free criterion ESCV based on a new <i>estimation stability</i> (ES) metric and CV. Our proposed ESCV finds a smaller and locally ES-optimal model smaller than the CV choice so that it fits the data and also enjoys estimation stability property. We demonstrate that ESCV is an effective alternative to CV at a similar easily parallelizable computational cost. In particular, we compare the two approaches with respect to several performance measures when applied to the Lasso on both simulated and real datasets. For dependent predictors common in practice, our main finding is that ESCV cuts down false positive rates often by a large margin, while sacrificing little of true positive rates. ESCV usually outperforms CV in terms of parameter estimation while giving similar performance as CV in terms of prediction. For the two real datasets from neuroscience and cell biology, the models found by ESCV are less than half of the model sizes by CV, but preserves CV's predictive performance and corroborates with subject knowledge and independent work. We also discuss some regularization parameter alignment issues that come up in both approaches. Supplementary materials are available online.
DOI: 10.6084/m9.figshare.1378734.v2
title: Estimation Stability With Cross-Validation (ESCV)

description: Cross-validation (CV) is often used to select the regularization parameter in high-dimensional problems. However, when applied to the sparse modeling method Lasso, CV leads to models that are unstable in high-dimensions, and consequently not suited for reliable interpretation. In this article, we propose a model-free criterion ESCV based on a new <i>estimation stability</i> (ES) metric and CV. Our proposed ESCV finds a smaller and locally ES-optimal model smaller than the CV choice so that it fits the data and also enjoys estimation stability property. We demonstrate that ESCV is an effective alternative to CV at a similar easily parallelizable computational cost. In particular, we compare the two approaches with respect to several performance measures when applied to the Lasso on both simulated and real datasets. For dependent predictors common in practice, our main finding is that ESCV cuts down false positive rates often by a large margin, while sacrificing little of true positive rates. ESCV usually outperforms CV in terms of parameter estimation while giving similar performance as CV in terms of prediction. For the two real datasets from neuroscience and cell biology, the models found by ESCV are less than half of the model sizes by CV, but preserves CV's predictive performance and corroborates with subject knowledge and independent work. We also discuss some regularization parameter alignment issues that come up in both approaches. Supplementary materials are available online.
DOI: 10.6084/m9.figshare.1378734.v1
title: Estimation Stability with Cross Validation (ESCV)

description: Cross-validation (<i>CV</i>) is often used to select the regularization parameter in high dimensional problems. However, when applied to the sparse modeling method Lasso, <i>CV</i> leads to models that are unstable in high-dimensions, and consequently not suited for reliable interpretation. In this paper, we propose a model-free criterion <i>ESCV</i> based on a new <i>estimation stability (ES)</i> metric and <i>CV</i>. Our proposed <i>ESCV</i> finds a smaller and locally <i>ES</i>-optimal model smaller than the <i>CV</i> choice so that the it fits the data and also enjoys estimation stability property. We demonstrate that <i>ESCV</i> is an effective alternative to <i>CV</i> at a similar easily parallelizable computational cost. In particular, we compare the two approaches with respect to several performance measures when applied to the Lasso on both simulated and real data sets. For dependent predictors common in practice, our main finding is that, <i>ESCV</i> cuts down false positive rates often by a large margin, while sacrificing little of true positive rates. <i>ESCV</i> usually outperforms <i>CV</i> in terms of parameter estimation while giving similar performance as <i>CV</i> in terms of prediction. For the two real data sets from neuroscience and cell biology, the models found by <i>ESCV</i> are less than half of the model sizes by <i>CV</i>, but preserves <i>CV</i>'s predictive performance and corroborates with subject knowledge and independent work. We also discuss some regularization parameter alignment issues that come up in both approaches. Supplementary materials are available online.