cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5731569.v1
title: Additional file 12: of An integrated and comparative approach towards identification, characterization and functional annotation of candidate genes for drought tolerance in sorghum (Sorghum bicolor (L.) Moench)

description: Description of drought responsive genes associated with different types of sorghum QTLs based on sequence alignment. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.5731554
title: Additional file 11: of An integrated and comparative approach towards identification, characterization and functional annotation of candidate genes for drought tolerance in sorghum (Sorghum bicolor (L.) Moench)

description: Description of drought responsive genes associated with different types of sorghum QTLs based on comparison of the genomic locations. (XLSX 445 kb)
DOI: 10.6084/m9.figshare.5731554.v1
title: Additional file 11: of An integrated and comparative approach towards identification, characterization and functional annotation of candidate genes for drought tolerance in sorghum (Sorghum bicolor (L.) Moench)

description: Description of drought responsive genes associated with different types of sorghum QTLs based on comparison of the genomic locations. (XLSX 445 kb)
DOI: 10.6084/m9.figshare.5731527
title: Additional file 2: of Use of prescription drugs and risk of postoperative red blood cell transfusion in breast cancer patients: a Danish population-based cohort study

description: Supplementary Figure S1 and Supplementary Tables S1–S5. Figure S1. Flow diagram. Table S1. Specific comorbid conditions included in the Charlson Comorbidity Index, according to use of selected prescription drugs. Table S2. Risk and crude and adjusted odds ratios for blood transfusion within 7 days of surgery among 22,238 breast cancer patients, according to use of selected prescription drugs. Table S3. Risk and crude and adjusted odds ratios for postoperative blood transfusion within 14 days of surgery among 22,238 breast cancer patients, according to use of selected prescription drugs and with the exposure window defined as 1–30 days before surgery. Table S4. Risk and crude and adjusted odds ratios for postoperative blood transfusion within 14 days of surgery among 22,238 breast cancer patients, according to use of selected prescription drugs and adjusted for selected comorbidities (cardiac disease, chronic pulmonary disease, and diabetes). Table S5. Risk and crude and adjusted odds ratios for postoperative blood transfusion within 14 days of surgery among 21,578 breast cancer patients according to use of selected prescription drugs, with the exposure window defined as 1–30 days before surgery and after excluding patients with anemia [&lt; 12 g/dL (7.4 mmol/L)]. (ZIP 346 kb)
DOI: 10.6084/m9.figshare.5731527.v1
title: Additional file 2: of Use of prescription drugs and risk of postoperative red blood cell transfusion in breast cancer patients: a Danish population-based cohort study

description: Supplementary Figure S1 and Supplementary Tables S1–S5. Figure S1. Flow diagram. Table S1. Specific comorbid conditions included in the Charlson Comorbidity Index, according to use of selected prescription drugs. Table S2. Risk and crude and adjusted odds ratios for blood transfusion within 7 days of surgery among 22,238 breast cancer patients, according to use of selected prescription drugs. Table S3. Risk and crude and adjusted odds ratios for postoperative blood transfusion within 14 days of surgery among 22,238 breast cancer patients, according to use of selected prescription drugs and with the exposure window defined as 1–30 days before surgery. Table S4. Risk and crude and adjusted odds ratios for postoperative blood transfusion within 14 days of surgery among 22,238 breast cancer patients, according to use of selected prescription drugs and adjusted for selected comorbidities (cardiac disease, chronic pulmonary disease, and diabetes). Table S5. Risk and crude and adjusted odds ratios for postoperative blood transfusion within 14 days of surgery among 21,578 breast cancer patients according to use of selected prescription drugs, with the exposure window defined as 1–30 days before surgery and after excluding patients with anemia [&lt; 12 g/dL (7.4 mmol/L)]. (ZIP 346 kb)
DOI: 10.6084/m9.figshare.5731524
title: Additional file 10: of An integrated and comparative approach towards identification, characterization and functional annotation of candidate genes for drought tolerance in sorghum (Sorghum bicolor (L.) Moench)

description: Analysis of orthology relationship between sorghum, maize, rice and Arabidopsis based on ensemble BioMart. (XLSX 226 kb)
DOI: 10.6084/m9.figshare.5731524.v1
title: Additional file 10: of An integrated and comparative approach towards identification, characterization and functional annotation of candidate genes for drought tolerance in sorghum (Sorghum bicolor (L.) Moench)

description: Analysis of orthology relationship between sorghum, maize, rice and Arabidopsis based on ensemble BioMart. (XLSX 226 kb)
DOI: 10.6084/m9.figshare.5731485
title: Sirtuin5 contributes to colorectal carcinogenesis by enhancing glutaminolysis in a deglutarylation-dependent manner.xlsx

description: Mass isotopomer distributions (MIDs) of metabolites extracted from LoVo cells at 24h after [U-<sup>13</sup>C<sub>5</sub>] or [1-<sup>13</sup>C] glutamine incubation, metabolites were detected by GC-MS and corrected for natural abundance.
DOI: 10.6084/m9.figshare.5731485.v1
title: Sirtuin5 contributes to colorectal carcinogenesis by enhancing glutaminolysis in a deglutarylation-dependent manner.xlsx

description: Mass isotopomer distributions (MIDs) of metabolites extracted from LoVo cells at 24h after [U-<sup>13</sup>C<sub>5</sub>] or [1-<sup>13</sup>C] glutamine incubation, metabolites were detected by GC-MS and corrected for natural abundance.
DOI: 10.6084/m9.figshare.5731473
title: Participants' Reported Compulsive Sexual Behavior and its interference in their daily lives

description: This was the first data collected by the researcher. This data set had participants record the actual number of times daily that they remember engaging in sexually destructive behaviors. The participants then rated its interference with their life functioning.<br>- This data set found the values were positively moderately correlated as r=0.68 was the result of the t-test performed on the data sets.- The data in this set was tested using the ANOVA Test and the established statistical significance was p=0.043, which is statistically significant.<br>This indicates to the researcher that there is a correlation between the frequency of sexually destructive behaviors and the frequency with which they occur. The more one participates in sexually destructive behaviors, the more one's daily life becomes impacted in a counterproductive way.
DOI: 10.6084/m9.figshare.5731470
title: Participants' Scores on the Integrative Wheel of Happiness (Before and After)

description: This data set compared two sets of data, the responses given on the Integrative Wheel of Happiness by running a t-test and an ANOVA Test to determine their degree of correlation and the statistical significance of that correlation.<br>The results were as follows:Coefficient Correlation r=0.81, this indicates that the values are strongly correlated.Statistical Significance p= 0.048, this indicates that there is a statistically significant relationship between these variables.<br>Based on this information, it is clear to the researcher that participation in Life Coaching is viewed by the participants who experience sexual addiction mitigates the disorder in part, in that the Life Coach works together with the therapist in the client's best interest.
DOI: 10.6084/m9.figshare.5731470.v1
title: Participants' Scores on the Integrative Wheel of Happiness (Before and After)

description: This data set compared two sets of data, the responses given on the Integrative Wheel of Happiness by running a t-test and an ANOVA Test to determine their degree of correlation and the statistical significance of that correlation.<br>The results were as follows:Coefficient Correlation r=0.81, this indicates that the values are strongly correlated.Statistical Significance p= 0.048, this indicates that there is a statistically significant relationship between these variables.<br>Based on this information, it is clear to the researcher that participation in Life Coaching is viewed by the participants who experience sexual addiction mitigates the disorder in part, in that the Life Coach works together with the therapist in the client's best interest.
DOI: 10.6084/m9.figshare.5731464
title: MyFAIT Dataset_23Dec2017.xlsx

description: This dataset contains raw and imputed findings for the study entitled "Individually-Tailored Multifactorial Intervention to Reduce Falls in the Malaysian Falls Assessment and Intervention Trial (MyFAIT): A Randomized Controlled Trial".
DOI: 10.6084/m9.figshare.5731464.v1
title: MyFAIT Dataset_23Dec2017.xlsx

description: This dataset contains raw and imputed findings for the study entitled "Individually-Tailored Multifactorial Intervention to Reduce Falls in the Malaysian Falls Assessment and Intervention Trial (MyFAIT): A Randomized Controlled Trial".
DOI: 10.6084/m9.figshare.5731461
title: Figure 1.2, Participant B2 Responses to Life Functioning Survey Prior to the Study

description: There are the responses given by Participant B2 in the study. This participant, using the Likert Scale rated his satisfaction with life function as related to his self-reported Sex Addiction. His responses demonstrated a lack of satisfaction with critical areas in his life as a result of his Hypersexual Disorder.
DOI: 10.6084/m9.figshare.5731461.v1
title: Figure 1.2, Participant B2 Responses to Life Functioning Survey Prior to the Study

description: There are the responses given by Participant B2 in the study. This participant, using the Likert Scale rated his satisfaction with life function as related to his self-reported Sex Addiction. His responses demonstrated a lack of satisfaction with critical areas in his life as a result of his Hypersexual Disorder.
DOI: 10.6084/m9.figshare.5731458
title: Figure 1.1 Participant A1's responses to the Initial Life Functioning Survey

description: This is a graph showing and analyzing the responses given on a questionnaire using the Likert scale by Participant A1, a self-reported sex addict. The results demonstrate a lack of satisfaction with his life directly correlating to his sexual addiction.
DOI: 10.6084/m9.figshare.5731458.v1
title: Figure 1.1 Participant A1's responses to the Initial Life Functioning Survey

description: This is a graph showing and analyzing the responses given on a questionnaire using the Likert scale by Participant A1, a self-reported sex addict. The results demonstrate a lack of satisfaction with his life directly correlating to his sexual addiction.
DOI: 10.6084/m9.figshare.5731446
title: Dissociation AIR dataset 12_22_17

description: Dataset for dissociation paper
DOI: 10.6084/m9.figshare.5731446.v1
title: Dissociation AIR dataset 12_22_17

description: Dataset for dissociation paper
DOI: 10.6084/m9.figshare.5731413
title: Foraging plasticity in seabirds: a non-invasive study of the diet of greater crested terns breeding in the Benguela Region

description: We investigated the diet of an increasing population of greater crested terns <i>Thalasseus bergii</i> in the Western Cape, South Africa, during three successive breeding seasons (2013 to 2015), when populations of other seabirds feeding on small pelagic schooling fish in the region were decreasing.
DOI: 10.6084/m9.figshare.5731413.v1
title: Foraging plasticity in seabirds: a non-invasive study of the diet of greater crested terns breeding in the Benguela Region

description: We investigated the diet of an increasing population of greater crested terns <i>Thalasseus bergii</i> in the Western Cape, South Africa, during three successive breeding seasons (2013 to 2015), when populations of other seabirds feeding on small pelagic schooling fish in the region were decreasing.
DOI: 10.6084/m9.figshare.5731410
title: NMDS2.csv

description: csv file for NMDS analysis
DOI: 10.6084/m9.figshare.5731410.v1
title: NMDS2.csv

description: csv file for NMDS analysis
DOI: 10.6084/m9.figshare.5731398
title: ASL_Years_ANOVA.csv

description: csv file for yearly anova analysis
DOI: 10.6084/m9.figshare.5731398.v1
title: ASL_Years_ANOVA.csv

description: csv file for yearly anova analysis
DOI: 10.6084/m9.figshare.5731395
title: Diet_EFACTORS_NEW.csv

description: csv file for GAM Model
DOI: 10.6084/m9.figshare.5731395.v1
title: Diet_EFACTORS_NEW.csv

description: csv file for GAM Model
DOI: 10.6084/m9.figshare.5731392
title: ASL_Weeks_ANOVA_colony.csv

description: csv file for ANOVA analysis
DOI: 10.6084/m9.figshare.5731392.v1
title: ASL_Weeks_ANOVA_colony.csv

description: csv file for ANOVA analysis
DOI: 10.6084/m9.figshare.5731281
title: Mouse frequency data.xlsx

description: Raw frequency data for top 1000 aptamers selected against transgenic mice.
DOI: 10.6084/m9.figshare.5731263
title: Data Prochilodus.xlsx

description: Data for <i>Prochilodus magdaleanea</i>, a potamodromous fish from Colombia rivers.Collected between June 2010 and June 2011Includes:LenghtWeightSexMaturity stageGonadal weightLiver weigthNumber of LSH cellsNumber of FSH cells
DOI: 10.6084/m9.figshare.5731263.v1
title: Data Prochilodus.xlsx

description: Data for <i>Prochilodus magdaleanea</i>, a potamodromous fish from Colombia rivers.Collected between June 2010 and June 2011Includes:LenghtWeightSexMaturity stageGonadal weightLiver weigthNumber of LSH cellsNumber of FSH cells
DOI: 10.6084/m9.figshare.5731224
title: RT and parent ratings.txt

description: See publication in Plos One
DOI: 10.6084/m9.figshare.5731185
title: Raw data 1

description: Raw data form diversity, abundance, frequency and length from fish from shrimp by catch at each station
DOI: 10.6084/m9.figshare.12769661
title: ibidi8_perTrial_v2_freshWT_48h_2019Jul03

description: smFISH imaging dataset<br>
DOI: 10.6084/m9.figshare.5731185.v1
title: Raw data 1

description: Raw data form diversity, abundance, frequency and length from fish from shrimp by catch at each station
DOI: 10.6084/m9.figshare.12769661.v1
title: ibidi8_perTrial_v2_freshWT_48h_2019Jul03

description: smFISH imaging dataset<br>
DOI: 10.6084/m9.figshare.5731092
title: Large Dynamic Covariance Matrices

description: Second moments of asset returns are important for risk management and portfolio selection. The problem of estimating second moments can be approached from two angles: time series and the cross-section. In time series, the key is to account for conditional heteroscedasticity; a favored model is Dynamic Conditional Correlation (DCC), derived from the ARCH/GARCH family started by Engle (1982). In the cross-section, the key is to correct in-sample biases of sample covariance matrix eigenvalues; a favored model is nonlinear shrinkage, derived from Random Matrix Theory (RMT). The present article marries these two strands of literature to deliver improved estimation of large dynamic covariance matrices. Supplementary material for this article is available online.
DOI: 10.6084/m9.figshare.5731092.v1
title: Large Dynamic Covariance Matrices

description: Second moments of asset returns are important for risk management and portfolio selection. The problem of estimating second moments can be approached from two angles: time series and the cross-section. In time series, the key is to account for conditional heteroscedasticity; a favored model is Dynamic Conditional Correlation (DCC), derived from the ARCH/GARCH family started by Engle (1982). In the cross-section, the key is to correct in-sample biases of sample covariance matrix eigenvalues; a favored model is nonlinear shrinkage, derived from Random Matrix Theory (RMT). The present article marries these two strands of literature to deliver improved estimation of large dynamic covariance matrices. Supplementary material for this article is available online.
DOI: 10.6084/m9.figshare.5729802.v2
title: The complexity of high-frequency electric fields degrades electrosensory inputs: implications for the jamming avoidance response in weakly electric fish

description: Accompanying dataset for <br>The complexity of high-frequency electric fields degrades electrosensory inputs: implications for the jamming avoidance response in weakly electric fish
DOI: 10.6084/m9.figshare.5729802
title: The complexity of high-frequency electric fields degrades electrosensory inputs: implications for the jamming avoidance response in weakly electric fish

description: Accompanying dataset for <br>The complexity of high-frequency electric fields degrades electrosensory inputs: implications for the jamming avoidance response in weakly electric fish
DOI: 10.6084/m9.figshare.5729781
title: <i>R</i><sup>2</sup> Bounds for Predictive Models: What Univariate Properties Tell us About Multivariate Predictability

description: A long-standing puzzle in macroeconomic forecasting has been that a wide variety of multivariate models have struggled to out-predict univariate models consistently. We seek an explanation for this puzzle in terms of population properties. We derive bounds for the predictive <i>R</i><sup>2</sup> of the true, but unknown, multivariate model from univariate ARMA parameters alone. These bounds can be quite tight, implying little forecasting gain even if we knew the true multivariate model. We illustrate using CPI inflation data. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.5729781.v2
title: <i>R</i><sup>2</sup> Bounds for Predictive Models: What Univariate Properties Tell us About Multivariate Predictability

description: A long-standing puzzle in macroeconomic forecasting has been that a wide variety of multivariate models have struggled to out-predict univariate models consistently. We seek an explanation for this puzzle in terms of population properties. We derive bounds for the predictive <i>R</i><sup>2</sup> of the true, but unknown, multivariate model from univariate ARMA parameters alone. These bounds can be quite tight, implying little forecasting gain even if we knew the true multivariate model. We illustrate using CPI inflation data. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.5729781.v1
title: <i>R</i><sup>2</sup> bounds for predictive models: what univariate properties tell us about multivariate predictability<sup>*</sup>

description: A longstanding puzzle in macroeconomic forecasting has been that a wide variety of multivariate models have struggled to out-predict univariate models consistently. We seek an explanation for this puzzle in terms of population properties. We derive bounds for the predictive <i>R</i><sup>2</sup> of the true, but unknown, multivariate model from univariate ARMA parameters alone. These bounds can be quite tight, implying little forecasting gain even if we knew the true multivariate model. We illustrate using CPI inflation data.
DOI: 10.6084/m9.figshare.5729667
title: Supplemental Data for Kudron et al., 2018 "The modERN Resource: Genome-wide Binding Profiles for Hundreds of Drosophila and C. elegans Transcription Factors"

description: These data sets include the supplemental tables for Kudron et al., "The modERN Resource: Genome-wide Binding Profiles for Hundreds of Drosophila and C. elegans Transcription Factors", published in the journal Genetics in 2018. Datasets include lists of defined transcription factors for each species, transgenic strains generated during the course of this project, and lists containing the genomic coordinates of binding sites for each transcription factor assayed for this resource project. Two supplemental figures are also included. The project is supported by NIH U41HG007355.
DOI: 10.6084/m9.figshare.5729667.v1
title: Supplemental Data for Kudron et al., 2018 "The modERN Resource: Genome-wide Binding Profiles for Hundreds of Drosophila and C. elegans Transcription Factors"

description: These data sets include the supplemental tables for Kudron et al., "The modERN Resource: Genome-wide Binding Profiles for Hundreds of Drosophila and C. elegans Transcription Factors", published in the journal Genetics in 2018. Datasets include lists of defined transcription factors for each species, transgenic strains generated during the course of this project, and lists containing the genomic coordinates of binding sites for each transcription factor assayed for this resource project. Two supplemental figures are also included. The project is supported by NIH U41HG007355.
DOI: 10.6084/m9.figshare.5729607
title: data for accessibility.xlsx

description: The original data associated with the present study.
DOI: 10.6084/m9.figshare.5729607.v1
title: data for accessibility.xlsx

description: The original data associated with the present study.
DOI: 10.6084/m9.figshare.5729583.v3
title: Robo_unicorn_python

description: robot unicorn from from Doitkits.com controlled in python
DOI: 10.6084/m9.figshare.5729583.v4
title: Robo_unicorn_python

description: robot unicorn from from Doitkits.com controlled in python
DOI: 10.6084/m9.figshare.5729571
title: Data from: Marked differences in tight junction composition and macromolecular permeability among different intestinal cell types

description: qPCR Biomarker and Tight Junction Data.xlsx: An Excel file presenting real-time polymerase chain reaction data on biomarker expression from murine intestinal organoids.<br>Murine intestinal crypts were directed to form organoids that were highly enriched in in stem cells, absorbtive enterocytes, secretory goblet or Paneth cells. Within the data these sub-types are referred to as ISC, ENT, GOB and PAN respectively. Data are also included on organoids with all of the above cell types (TYP), isolated intestinal crypts (CRY) and homogenates of intestinal mucosa (HOM). mRNA levels of genes accepted as biomarkers of cell types are presented here, these are typically used to confirm whether directed organoids contain mostly cells of a certain cell type. Data are organised into sheets based on the figures they underly in the related publication.<br><br>Dextran Permeability Data.xlsx: An Excel file presenting net fluorescence of 4 and/or 10 kDa FITC-dextran in the lumen of organoids.<br><br>Tiff images: Organoids enriched in enterocyte (ENT), Paneth (PAN) and stem (ISC) cells, and incubated in 4 kDa dextran for 10, 30 or 60 min. There were several images stacked for each organoid, and one image represents the top half, and another the bottom half.
DOI: 10.6084/m9.figshare.5729571.v1
title: Data from: Marked differences in tight junction composition and macromolecular permeability among different intestinal cell types

description: qPCR Biomarker and Tight Junction Data.xlsx: An Excel file presenting real-time polymerase chain reaction data on biomarker expression from murine intestinal organoids.<br>Murine intestinal crypts were directed to form organoids that were highly enriched in in stem cells, absorbtive enterocytes, secretory goblet or Paneth cells. Within the data these sub-types are referred to as ISC, ENT, GOB and PAN respectively. Data are also included on organoids with all of the above cell types (TYP), isolated intestinal crypts (CRY) and homogenates of intestinal mucosa (HOM). mRNA levels of genes accepted as biomarkers of cell types are presented here, these are typically used to confirm whether directed organoids contain mostly cells of a certain cell type. Data are organised into sheets based on the figures they underly in the related publication.<br><br>Dextran Permeability Data.xlsx: An Excel file presenting net fluorescence of 4 and/or 10 kDa FITC-dextran in the lumen of organoids.<br><br>Tiff images: Organoids enriched in enterocyte (ENT), Paneth (PAN) and stem (ISC) cells, and incubated in 4 kDa dextran for 10, 30 or 60 min. There were several images stacked for each organoid, and one image represents the top half, and another the bottom half.
DOI: 10.6084/m9.figshare.5729553
title: data for accessibility.xlsx

description: Data Accessibliity
DOI: 10.6084/m9.figshare.5729553.v1
title: data for accessibility.xlsx

description: Data Accessibliity