cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11595258
title: tree census data+abiotic variables+biotic variables.xlsx

description: The study was carried out in the temperate forest in Jiaohe, Jilin Province, in northeastern China. This study uses data from a 42 ha (840 × 500 m2) forest dynamics plot (hereafter referred to as the Jiaohe forest plot; 43°57.524′–43°58.042′N, 127°44.111′–127°44.667 E), established in the summer of 2010, according to the standard of the Center of Tropical Forest Science (CTFS; http://www.ctfs.si.edu/). All trees and shrubs with ≥ 1 cm diameter at breast height (dbh) in the Jiaohe forest plot were mapped, identified to species, and measured for the first time in the summer of 2010. A second census was carried out in the summer of 2015. The data set<i> </i>contains the tree census data, the status in 2015 (A,alive and D, dead), the initial size (dbh) in 2010, conspecific and heterospecific tree neighbor density within a given radius (5, 10, 15 or 20 m), as well as the soil properties and topography. (More details about the data set, please see our paper, doi: 10.1111/1365-2745.13335)
DOI: 10.6084/m9.figshare.11595261.v2
title: Echosounder prey data

description: These files are Supplementary Information for PeerJ Manuscript #42190: Insight into the kinematics of blue whale surface foraging through drone observations and prey data.<br><b>Authors: </b>Leigh G. Torres, Dawn R. Barlow, Todd E. Chandler, Jonathan D. Burnett. <br><b><br></b><b>Data availability statement: </b>Krill aggregation data files examined in this study (.csv files) and the Matlab script used to identify aggregations and their attributes is provided in this Figshare repository. Additionally, data on krill aggregation characteristics at blue whale sightings and at absence locations, and the R script used to analyze and plot these data, are also provided.
DOI: 10.6084/m9.figshare.11595261.v1
title: Echosounder prey data

description: These files are Supplementary Information for PeerJ Manuscript #42190: Insight into the kinematics of blue whale surface foraging through drone observations and prey data.<br><b>Authors: </b>Leigh G. Torres, Dawn R. Barlow, Todd E. Chandler, Jonathan D. Burnett. <br><b><br></b><b>Data availability statement: </b>Krill aggregation data files examined in this study (.csv files) and the Matlab script used to identify aggregations and their attributes is provided in this Figshare repository. Additionally, data on krill aggregation characteristics at blue whale sightings and at absence locations, and the R script used to analyze and plot these data, are also provided.
DOI: 10.6084/m9.figshare.11595210
title: Supplementary Data-Tables

description: Suppl. Table 1-3
DOI: 10.6084/m9.figshare.11595210.v1
title: Supplementary Data-Tables

description: Suppl. Table 1-3
DOI: 10.23641/asha.11594853
title: Phonetic contrasts in Cantonese tone acquisition (Mok et al., 2020)

description: <b>Purpose: </b>Previous studies showed both early and late acquisition of Cantonese tones based on transcription data using different criteria, but very little acoustic data were reported. Our study examined Cantonese tone acquisition using both transcription and acoustic data, illustrating the early and protracted aspects of Cantonese tone acquisition.<b>Method: </b>One hundred fifty-nine Cantonese-speaking children aged between 2;1 and 6;0 (years;months) and 10 reference speakers participated in a tone production experiment based on picture naming. Natural production materials with 30 monosyllabic words were transcribed by two native judges. Acoustic measurements included overall tonal dispersion and specific contrasts between similartone pairs: ratios of average fundamental frequency height for the level tones (T1, T3, T6), magnitude of rise and inflection point for the rising tones (T2, T5), magnitude of fall, H1*–H2*, and harmonic-to-noise ratio for the low tones (T4, T6). Auditory assessment of creakiness for T4 was also included.<b>Results:</b> Children in the eldest group (aged 5;7–6;0) were still not completely adultlike in production accuracy, although two thirds of them had production accuracy over 90%. Children in all age groups had production accuracy significantly higher than chance level, and they could produce the major acoustic contrasts between specific tone pairs similarly as reference speakers. Fine phonetic detail of the inflection point and creakiness was more challenging for children.<b>Conclusion:</b> Our findings illustrated the multifaceted aspects (both early and late) of Cantonese tone acquisition and called for a wider perspective on how to define successful phonological acquisition.<br><b>Supplemental Material S1.</b> Accuracy of top-, mid-, and bottom-ranking children of each age group, and one-sample <i>t</i>-test results. <br><b>Supplemental Material S2.</b> Pairwise comparisons using Tukey (HSD) tests for tonal dispersion (middle column) and phonological pitch range (right column).<br><b>Supplemental Material S3. </b>Results of two-tailed paired-sample t-tests comparing T2 vs. T5 for the magnitude of rise (left columns) and post hoc pairwise comparisons with Tukey correction for the position of the inflection point (right columns). <br><b>Supplemental Material S4.</b> Results of two-tailed paired-sample t-tests comparing the magnitude of fall for T4 vs T6. <br><b>Supplemental Material S5. </b>Results of Tukey’s HSD post hoc tests comparing the HNR between age groups.<br><b>Supplemental Material S6. </b>Post hoc pairwise comparisons using Fisher’s Exact Test of Independence comparing creaky tokens among age groups. <br>Mok, P. P. K., Li, V. G., & Fun, H. S. H. (2020). Development of phonetic contrasts in Cantonese tone acquisition. <i>Journal of Speech, Language, and Hearing Research.</i> Advance online publication. https://doi.org/10.1044/2019_JSLHR-19-00152
DOI: 10.23641/asha.11594853.v1
title: Phonetic contrasts in Cantonese tone acquisition (Mok et al., 2020)

description: <b>Purpose: </b>Previous studies showed both early and late acquisition of Cantonese tones based on transcription data using different criteria, but very little acoustic data were reported. Our study examined Cantonese tone acquisition using both transcription and acoustic data, illustrating the early and protracted aspects of Cantonese tone acquisition.<b>Method: </b>One hundred fifty-nine Cantonese-speaking children aged between 2;1 and 6;0 (years;months) and 10 reference speakers participated in a tone production experiment based on picture naming. Natural production materials with 30 monosyllabic words were transcribed by two native judges. Acoustic measurements included overall tonal dispersion and specific contrasts between similartone pairs: ratios of average fundamental frequency height for the level tones (T1, T3, T6), magnitude of rise and inflection point for the rising tones (T2, T5), magnitude of fall, H1*–H2*, and harmonic-to-noise ratio for the low tones (T4, T6). Auditory assessment of creakiness for T4 was also included.<b>Results:</b> Children in the eldest group (aged 5;7–6;0) were still not completely adultlike in production accuracy, although two thirds of them had production accuracy over 90%. Children in all age groups had production accuracy significantly higher than chance level, and they could produce the major acoustic contrasts between specific tone pairs similarly as reference speakers. Fine phonetic detail of the inflection point and creakiness was more challenging for children.<b>Conclusion:</b> Our findings illustrated the multifaceted aspects (both early and late) of Cantonese tone acquisition and called for a wider perspective on how to define successful phonological acquisition.<br><b>Supplemental Material S1.</b> Accuracy of top-, mid-, and bottom-ranking children of each age group, and one-sample <i>t</i>-test results. <br><b>Supplemental Material S2.</b> Pairwise comparisons using Tukey (HSD) tests for tonal dispersion (middle column) and phonological pitch range (right column).<br><b>Supplemental Material S3. </b>Results of two-tailed paired-sample t-tests comparing T2 vs. T5 for the magnitude of rise (left columns) and post hoc pairwise comparisons with Tukey correction for the position of the inflection point (right columns). <br><b>Supplemental Material S4.</b> Results of two-tailed paired-sample t-tests comparing the magnitude of fall for T4 vs T6. <br><b>Supplemental Material S5. </b>Results of Tukey’s HSD post hoc tests comparing the HNR between age groups.<br><b>Supplemental Material S6. </b>Post hoc pairwise comparisons using Fisher’s Exact Test of Independence comparing creaky tokens among age groups. <br>Mok, P. P. K., Li, V. G., & Fun, H. S. H. (2020). Development of phonetic contrasts in Cantonese tone acquisition. <i>Journal of Speech, Language, and Hearing Research.</i> Advance online publication. https://doi.org/10.1044/2019_JSLHR-19-00152
DOI: 10.23644/uu.11594718
title: USvsUC_Results.xlsx

description: Results from the user stories vs. use cases experiment, organized in an Excel spreadsheet.<br>
DOI: 10.23644/uu.11594718.v1
title: USvsUC_Results.xlsx

description: Results from the user stories vs. use cases experiment, organized in an Excel spreadsheet.<br>
DOI: 10.6084/m9.figshare.11594691
title: hour.csv

description: data from our library for advance python class
DOI: 10.6084/m9.figshare.11594658
title: 007-A1IgG-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: oseto mm9 Chip-seq dataset
DOI: 10.6084/m9.figshare.11594658.v1
title: 007-A1IgG-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: oseto mm9 Chip-seq dataset
DOI: 10.6084/m9.figshare.11594652
title: 006-A0Ab-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: oseto mm9 Chip-seq dataset
DOI: 10.6084/m9.figshare.11594652.v1
title: 006-A0Ab-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: oseto mm9 Chip-seq dataset
DOI: 10.6084/m9.figshare.11594649
title: 008-A1Ab-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: oseto mm9 Chip-seq dataset
DOI: 10.6084/m9.figshare.11594649.v1
title: 008-A1Ab-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: oseto mm9 Chip-seq dataset
DOI: 10.6084/m9.figshare.11594640
title: 004-Y1Ab-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: oseto mm9 Chip-seq dataset
DOI: 10.6084/m9.figshare.11594640.v1
title: 004-Y1Ab-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: oseto mm9 Chip-seq dataset
DOI: 10.6084/m9.figshare.11594625
title: 002-Y0Ab-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: oseto mm9 Chip-seq dataset<br>
DOI: 10.6084/m9.figshare.11594625.v1
title: 002-Y0Ab-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: oseto mm9 Chip-seq dataset<br>
DOI: 10.6084/m9.figshare.11594637
title: 005-A0IgG-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: oseto mm9 Chip-seq dataset
DOI: 10.6084/m9.figshare.11594637.v1
title: 005-A0IgG-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: oseto mm9 Chip-seq dataset
DOI: 10.6084/m9.figshare.11594622
title: 001-Y0IgG-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: treatment vs control chIP-seq<br>
DOI: 10.6084/m9.figshare.11594619
title: 003-Y1IgG-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: bw file for igg control<br>
DOI: 10.6084/m9.figshare.11594619.v1
title: 003-Y1IgG-normRPKM.bwOsteo-mm9 ChIP-seq bw

description: bw file for igg control<br>
DOI: 10.6084/m9.figshare.11594622.v2
title: 001-Y0IgG-normRPKM.bw

description: treatment vs control chIP-seq<br>
DOI: 10.6084/m9.figshare.11594622.v1
title: 001-Y0IgG-normRPKM.bw

description: IgG control 1<br>
DOI: 10.6084/m9.figshare.11594595
title: Barton_et_al_2020_EcoLetters_Data_code.zip

description: Data and code for:Barton, Samuel et al. (2020), <i>Evolutionary temperature compensation of carbon fixation in marine phytoplankton</i><br>AbstractThe efficiency of carbon sequestration by the biological pump could decline in the coming decades because respiration tends to increase more with temperature than photosynthesis. Despite these differences in the short-term temperature sensitivities of photosynthesis and respiration, it is unknown whether the long-term impacts of global warming on metabolic rates of phytoplankton can be modulated by evolutionary adaptation. We found that respiration was consistently more temperature dependent than photosynthesis across 18 diverse marine phytoplankton, resulting in universal declines in the rate of carbon fixation with short-term increases in temperature. Long-term experimental evolution under high temperature reversed the short-term stimulation of metabolic rates, resulting in increased rates of carbon fixation. Our findings suggest that thermal adaptation may therefore have an ameliorating impact on the efficiency of phytoplankton as primary mediators of the biological carbon pump. Usage NotesEach folder corresponds to analyses and figures presented in the manuscript.The folders contain all the relevant input and output data for the R code found within each folder.
DOI: 10.6084/m9.figshare.11594595.v1
title: Barton_et_al_2020_EcoLetters_Data_code.zip

description: Data and code for:Barton, Samuel et al. (2020), <i>Evolutionary temperature compensation of carbon fixation in marine phytoplankton</i><br>AbstractThe efficiency of carbon sequestration by the biological pump could decline in the coming decades because respiration tends to increase more with temperature than photosynthesis. Despite these differences in the short-term temperature sensitivities of photosynthesis and respiration, it is unknown whether the long-term impacts of global warming on metabolic rates of phytoplankton can be modulated by evolutionary adaptation. We found that respiration was consistently more temperature dependent than photosynthesis across 18 diverse marine phytoplankton, resulting in universal declines in the rate of carbon fixation with short-term increases in temperature. Long-term experimental evolution under high temperature reversed the short-term stimulation of metabolic rates, resulting in increased rates of carbon fixation. Our findings suggest that thermal adaptation may therefore have an ameliorating impact on the efficiency of phytoplankton as primary mediators of the biological carbon pump. Usage NotesEach folder corresponds to analyses and figures presented in the manuscript.The folders contain all the relevant input and output data for the R code found within each folder.
DOI: 10.6084/m9.figshare.11594181
title: As tribos Vernonieae e Eupatorieae (Asteraceae) de Morro do Chapéu, Bahia, Brasil - Material Suplementar

description: Estudos acerca da composição florística ao longo da Cadeia do Espinhaço revelam a expressiva diversidade de Asteraceae, especialmente de Eupatorieae e Vernonieae, que são as tribos com o maior número de espécies. O objetivo deste estudo foi realizar o levantamento florístico e taxonômico das espécies pertencentes às tribos Vernonieae e Eupatorieae que ocorrem em Morro do Chapéu, Chapada Diamantina, Bahia.
DOI: 10.6084/m9.figshare.11593899
title: Fiscal stress and economic and financial variables

description: The database used includes annual frequency data for 43 countries, defined by the IMF as 24 advanced countries and 19 emerging countries, for the years 1992-2018.<br><br>The database contains the fiscal stress variable and a set of variables that can be classified as follows: macroeconomic and global economy (interest rates in the US, OECD; real GDP in the US, y-o-y, OECD; real GDP in China, y-o-y, World Bank; oil price, y-o-y, BP p.l.c.; VIX, CBOE; real GDP, y-o-y, World Bank, OECD, IMF WEO; GDP per capita in PPS, World Bank); financial (nominal USD exchange rate, y-o-y, IMF IFS; private credit to GDP, change in p.p., IMF IFS, World Bank and OECD); fiscal (general government balance, % GDP, IMF WEO; general government debt, % GDP, IMF WEO, effective interest rate on the g.g. debt, IMF WEO); competitiveness and domestic demand (currency overvaluation, IMF WEO; current account balance, % GDP, IMF WEO; share in global exports, y-o-y, World Bank, OECD; gross fixed capital formation, y-o-y, World Bank, OECD; CPI, IMF IFS, IMF WEO; real consumption, y-o-y, World Bank, OECD); labor market (unemployment rate, change in p.p., IMF WEO; labor productivity, y-o-y, ILO).<br><br>In line with the convention adopted in the literature, the fiscal stress variable is a binary variable equal to 1 in the case of a fiscal stress event and 0 otherwise. In more recent literature in this field, the dependent variable tends to be defined broadly, reflecting not only outright default or debt restructuring, but also less extreme events. Therefore, following Baldacci et al. (2011), the definition used in the present database is broad, and the focus is on signalling fiscal stress events, in contrast to the narrower event of a fiscal crisis related to outright default or debt restructuring. Fiscal problems can take many forms; in particular, some of the outright defaults can be avoided through timely, targeted responses, like support programs of international institutions. <br><br>The fiscal stress variable is shifted with regard to the other variables: crisis_next_year – binary variable shifted by 1 year, all years of a fiscal stress coded as 1; crisis_next_period – binary variable shifted by 2 years, all years of a fiscal stress coded as 1; crisis_first_year1 – binary variable shifted by 1 year, only the first year of a fiscal stress coded as 1; crisis_first_year2 - binary variable shifted by 2 years, only the first year of a fiscal stress coded as 1.<br><br>
DOI: 10.6084/m9.figshare.11593899.v1
title: dataframe.csv

description: The database used includes annual frequency data for 43 countries, defined by the IMF as 24 advanced countries and 19 emerging countries, for the years 1992-2018.<br><br>The database contains the fiscal stress variable and a set of variables that can be classified as follows: macroeconomic and global economy (interest rates in the US, OECD; real GDP in the US, y-o-y, OECD; real GDP in China, y-o-y, World Bank; oil price, y-o-y, BP p.l.c.; VIX, CBOE; real GDP, y-o-y, World Bank, OECD, IMF WEO; GDP per capita in PPS, World Bank); financial (nominal USD exchange rate, y-o-y, IMF IFS; private credit to GDP, change in p.p., IMF IFS, World Bank and OECD); fiscal (general government balance, % GDP, IMF WEO; general government debt, % GDP, IMF WEO, effective interest rate on the g.g. debt, IMF WEO); competitiveness and domestic demand (currency overvaluation, IMF WEO; current account balance, % GDP, IMF WEO; share in global exports, y-o-y, World Bank, OECD; gross fixed capital formation, y-o-y, World Bank, OECD; CPI, IMF IFS, IMF WEO; real consumption, y-o-y, World Bank, OECD); labor market (unemployment rate, change in p.p., IMF WEO; labor productivity, y-o-y, ILO).<br><br>In line with the convention adopted in the literature, the fiscal stress variable is a binary variable equal to 1 in the case of a fiscal stress event and 0 otherwise. In more recent literature in this field, the dependent variable tends to be defined broadly, reflecting not only outright default or debt restructuring, but also less extreme events. Therefore, following Baldacci et al. (2011), the definition used in the present database is broad, and the focus is on signalling fiscal stress events, in contrast to the narrower event of a fiscal crisis related to outright default or debt restructuring. Fiscal problems can take many forms; in particular, some of the outright defaults can be avoided through timely, targeted responses, like support programs of international institutions. <br><br>The fiscal stress variable is shifted with regard to the other variables: crisis_next_year – binary variable shifted by 1 year, all years of a fiscal stress coded as 1; crisis_next_period – binary variable shifted by 2 years, all years of a fiscal stress coded as 1; crisis_first_year1 – binary variable shifted by 1 year, only the first year of a fiscal stress coded as 1; crisis_first_year2 - binary variable shifted by 2 years, only the first year of a fiscal stress coded as 1.<br><br>
DOI: 10.6084/m9.figshare.11593884
title: XYZ* Dataset

description: <b>XYZ* </b>dataset with 1000 documents.
DOI: 10.6084/m9.figshare.11593899.v2
title: Fiscal stress and economic variables

description: The database used includes annual frequency data for 43 countries, defined by the IMF as 24 advanced countries and 19 emerging countries, for the years 1992-2018.<br><br>The database contains the fiscal stress variable and a set of variables that can be classified as follows: macroeconomic and global economy (interest rates in the US, OECD; real GDP in the US, y-o-y, OECD; real GDP in China, y-o-y, World Bank; oil price, y-o-y, BP p.l.c.; VIX, CBOE; real GDP, y-o-y, World Bank, OECD, IMF WEO; GDP per capita in PPS, World Bank); financial (nominal USD exchange rate, y-o-y, IMF IFS; private credit to GDP, change in p.p., IMF IFS, World Bank and OECD); fiscal (general government balance, % GDP, IMF WEO; general government debt, % GDP, IMF WEO, effective interest rate on the g.g. debt, IMF WEO); competitiveness and domestic demand (currency overvaluation, IMF WEO; current account balance, % GDP, IMF WEO; share in global exports, y-o-y, World Bank, OECD; gross fixed capital formation, y-o-y, World Bank, OECD; CPI, IMF IFS, IMF WEO; real consumption, y-o-y, World Bank, OECD); labor market (unemployment rate, change in p.p., IMF WEO; labor productivity, y-o-y, ILO).<br><br>In line with the convention adopted in the literature, the fiscal stress variable is a binary variable equal to 1 in the case of a fiscal stress event and 0 otherwise. In more recent literature in this field, the dependent variable tends to be defined broadly, reflecting not only outright default or debt restructuring, but also less extreme events. Therefore, following Baldacci et al. (2011), the definition used in the present database is broad, and the focus is on signalling fiscal stress events, in contrast to the narrower event of a fiscal crisis related to outright default or debt restructuring. Fiscal problems can take many forms; in particular, some of the outright defaults can be avoided through timely, targeted responses, like support programs of international institutions. <br><br>The fiscal stress variable is shifted with regard to the other variables: crisis_next_year – binary variable shifted by 1 year, all years of a fiscal stress coded as 1; crisis_next_period – binary variable shifted by 2 years, all years of a fiscal stress coded as 1; crisis_first_year1 – binary variable shifted by 1 year, only the first year of a fiscal stress coded as 1; crisis_first_year2 - binary variable shifted by 2 years, only the first year of a fiscal stress coded as 1.<br><br>
DOI: 10.6084/m9.figshare.11593884.v1
title: XYZ* Dataset

description: <b>XYZ* </b>dataset with 1000 documents.