cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19759956.v1
title: Additional file 3 of Comprehensive analysis of both long and short read transcriptomes of a clonal and a seed-propagated model species reveal the prerequisites for transcriptional activation of autonomous and non-autonomous transposons in plants

description: Additional file 3: Table S2. Grapevine expression candidates grouped by family, distinctiveness and integrity.
DOI: 10.6084/m9.figshare.19759959.v1
title: Additional file 4 of Comprehensive analysis of both long and short read transcriptomes of a clonal and a seed-propagated model species reveal the prerequisites for transcriptional activation of autonomous and non-autonomous transposons in plants

description: Additional file 4: Table S3. Peak of insertion time of V. vinifera LTR-TE families.
DOI: 10.6084/m9.figshare.19759965
title: Additional file 6 of Comprehensive analysis of both long and short read transcriptomes of a clonal and a seed-propagated model species reveal the prerequisites for transcriptional activation of autonomous and non-autonomous transposons in plants

description: Additional file 6: Table S5. ONT cDNA sequencing mapping statistics.
DOI: 10.6084/m9.figshare.19759959
title: Additional file 4 of Comprehensive analysis of both long and short read transcriptomes of a clonal and a seed-propagated model species reveal the prerequisites for transcriptional activation of autonomous and non-autonomous transposons in plants

description: Additional file 4: Table S3. Peak of insertion time of V. vinifera LTR-TE families.
DOI: 10.6084/m9.figshare.19759962.v1
title: Additional file 5 of Comprehensive analysis of both long and short read transcriptomes of a clonal and a seed-propagated model species reveal the prerequisites for transcriptional activation of autonomous and non-autonomous transposons in plants

description: Additional file 5: Table S4. location distribution of expression candidates.
DOI: 10.6084/m9.figshare.19759965.v1
title: Additional file 6 of Comprehensive analysis of both long and short read transcriptomes of a clonal and a seed-propagated model species reveal the prerequisites for transcriptional activation of autonomous and non-autonomous transposons in plants

description: Additional file 6: Table S5. ONT cDNA sequencing mapping statistics.
DOI: 10.6084/m9.figshare.19759968
title: Additional file 7 of Comprehensive analysis of both long and short read transcriptomes of a clonal and a seed-propagated model species reveal the prerequisites for transcriptional activation of autonomous and non-autonomous transposons in plants

description: Additional file 7: Table S6. Statistics of alternative splicing containing TEs.
DOI: 10.6084/m9.figshare.19759968.v1
title: Additional file 7 of Comprehensive analysis of both long and short read transcriptomes of a clonal and a seed-propagated model species reveal the prerequisites for transcriptional activation of autonomous and non-autonomous transposons in plants

description: Additional file 7: Table S6. Statistics of alternative splicing containing TEs.
DOI: 10.6084/m9.figshare.19759962
title: Additional file 5 of Comprehensive analysis of both long and short read transcriptomes of a clonal and a seed-propagated model species reveal the prerequisites for transcriptional activation of autonomous and non-autonomous transposons in plants

description: Additional file 5: Table S4. location distribution of expression candidates.
DOI: 10.6084/m9.figshare.19760000
title: Additional file 3 of For there is nothing either good or bad: a study of the mediating effect of interpretation bias on the association between mindfulness and reduced post-traumatic stress vulnerability

description: Additional file 3. De-identified study data.
DOI: 10.6084/m9.figshare.19760000.v1
title: Additional file 3 of For there is nothing either good or bad: a study of the mediating effect of interpretation bias on the association between mindfulness and reduced post-traumatic stress vulnerability

description: Additional file 3. De-identified study data.
DOI: 10.6084/m9.figshare.19760028
title: Additional file 1 of The association between dietary intake and cardiometabolic risk factors among obese adolescents in Indonesia

description: Additional file 1.
DOI: 10.6084/m9.figshare.19760028.v1
title: Additional file 1 of The association between dietary intake and cardiometabolic risk factors among obese adolescents in Indonesia

description: Additional file 1.
DOI: 10.6084/m9.figshare.19759246
title: Data

description: The original data that support the findings of the study termed MIS3 climate changes based on loess records in the Hanzhong Basin, south of the Qinling Mountains, China.
DOI: 10.6084/m9.figshare.19759246.v2
title: Data

description: The original data that support the findings of the study termed MIS3 climate changes based on loess records in the Hanzhong Basin, south of the Qinling Mountains, China.
DOI: 10.6084/m9.figshare.19759246.v1
title: Data

description: The original data that support the findings of the study termed MIS3 climate changes based on loess records in the Hanzhong Basin, south of the Qinling Mountains, China.
DOI: 10.6084/m9.figshare.19760032
title: Data

description: The data that support the findings of this study termed MIS3 climate changes based on loess records in the Hanzhong Basin, south of the Qinling Mountains, China.
DOI: 10.6084/m9.figshare.19760032.v1
title: Data

description: The data that support the findings of this study termed MIS3 climate changes based on loess records in the Hanzhong Basin, south of the Qinling Mountains, China.
DOI: 10.6084/m9.figshare.19335836
title: Key predictors of COVID-19 vaccine hesitancy in Malaysia DATASET.csv

description: Dataset for the manuscript "Key predictors of COVID-19 vaccine hesitancy in Malaysia - An integrated framework"
DOI: 10.6084/m9.figshare.19335836.v1
title: Key predictors of COVID-19 vaccine hesitancy in Malaysia DATASET.csv

description: Dataset for the manuscript "Key predictors of COVID-19 vaccine hesitancy in Malaysia - An integrated framework"
DOI: 10.6084/m9.figshare.19360955.v1
title: Data with SES details

description: The research goal was to investigate the impact of mindfulness-based training on stress and self-esteem of college students involved in placements. One hundred college students participating in campus placements were selected using purposive sampling from a Amrita School of Engineering, Coimbatore, India. College students were administered with Perceived Stress Scale, Rosenberg Self-Esteem Scale, and Kuppuswamy Socio-Economic Scale.
DOI: 10.6073/pasta/980a5547823ae8fd22ea8707c20b92ee
title: Aeolian dust weights sampled by BSNE collectors before and after the windy season from the NEAT study at Jornada Basin LTER, 2008-ongoing

description: This data package contains weights of windblown dust collected by BSNE collectors at long-term vegetation-removal plots that are part of the Jornada Basin LTER Nutrient and Ecosystem impacts of Aeolian Transport (NEAT) study located at the Jornada Experimental Range. The dataset can be used to estimate horizontal dust flux in vegetation removal treatment plots (different percentage vegetation removed) and contiguous downwind plots. Year 2008 was the initial collection and collections in subsequent years occur before and after the windy season. The experiment was designed to test the effects of increases in wind erosion on soil and vegetation properties on the sand sheet geomorphic unit for different levels of herbaceous cover. In order to increase wind erosion rates, vegetation was removed each spring to increase bare surface area and stimulate erosion (the less vegetation present the greater the wind erosion). The experimental design includes three blocks located in one pasture, each with four treatment plots that are maintained at one of four levels of herbaceous vegetation and small shrubs removed (25, 50, 75, 100%) and a control. Treatment plots are 25x50m with 25m buffers between. The vegetation removal includes grasses and small shrubs (like Gutierrezia sarothrae and Zinnia grandiflora), but not mesquite or yucca or any of the larger shrubs. Also, contiguous downwind plots are monitored for soil and vegetation properties, but no removal treatments are performed in these areas. A control treatment where no vegetation was removed that was not downwind of any treatment is also included. This study is ongoing and is updated twice per year - before and after the spring windy season.
DOI: 10.6073/pasta/8f644db2ab629fcb993cc60a8fad8f14
title: Aeolian dust weights sampled by BSNE collectors before and after the windy season from the NEAT study at Jornada Basin LTER, 2008-ongoing

description: This data package contains weights of windblown dust collected by BSNE collectors at long-term vegetation-removal plots that are part of the Jornada Basin LTER Nutrient and Ecosystem impacts of Aeolian Transport (NEAT) study located at the Jornada Experimental Range. The dataset can be used to estimate horizontal dust flux in vegetation removal treatment plots (different percentage vegetation removed) and contiguous downwind plots. Year 2008 was the initial collection and collections in subsequent years occur before and after the windy season. The experiment was designed to test the effects of increases in wind erosion on soil and vegetation properties on the sand sheet geomorphic unit for different levels of herbaceous cover. In order to increase wind erosion rates, vegetation was removed each spring to increase bare surface area and stimulate erosion (the less vegetation present the greater the wind erosion). The experimental design includes three blocks located in one pasture, each with four treatment plots that are maintained at one of four levels of herbaceous vegetation and small shrubs removed (25, 50, 75, 100%) and a control. Treatment plots are 25x50m with 25m buffers between. The vegetation removal includes grasses and small shrubs (like Gutierrezia sarothrae and Zinnia grandiflora), but not mesquite or yucca or any of the larger shrubs. Also, contiguous downwind plots are monitored for soil and vegetation properties, but no removal treatments are performed in these areas. A control treatment where no vegetation was removed that was not downwind of any treatment is also included. This study is ongoing and is updated twice per year - before and after the spring windy season.
DOI: 10.5281/zenodo.6544921
title: Deep Learning for Extracting Dispersion Curves (Dataset)

description: The Dataset of Deep Learning for Extracting Dispersion Curves 2021-01-06 | Surveys in Geophysics DOI: 10.1007/s10712-020-09615-3 authors: Tianyu Dai; Jianghai Xia; Ling Ning; Chaoqiang Xi; Ya Liu; Huaixue Xing URL: https://doi.org/10.1007/s10712-020-09615-3
DOI: 10.5281/zenodo.6544920
title: Deep Learning for Extracting Dispersion Curves (Dataset)

description: The Dataset of Deep Learning for Extracting Dispersion Curves 2021-01-06 | Surveys in Geophysics DOI: 10.1007/s10712-020-09615-3 authors: Tianyu Dai; Jianghai Xia; Ling Ning; Chaoqiang Xi; Ya Liu; Huaixue Xing URL: https://doi.org/10.1007/s10712-020-09615-3
DOI: 10.6084/m9.figshare.19760233.v2
title: A database of anti-coronavirus peptides

description: These data were manually collected from PubMed, Uniprot, and published peer-reviewed articles. These datasets were used in the article "A database of anti-coronavirus peptides". PMID are added to all entries in database and this dataset to connect to the referenced data source.
DOI: 10.6084/m9.figshare.19760233.v1
title: ACovPepDB-entirety data

description: These data were manually collected from PubMed, Uniprot, and published peer-reviewed articles. These datasets were used in the article "A database of anti-coronavirus peptides". PMID are added to all entries in database and this dataset to connect to the referenced data source.
DOI: 10.5281/zenodo.6544874
title: 210513 polysomeMPRA set1

description: 210513 polysomeMPRA set1 TBD220403
DOI: 10.5281/zenodo.6544873
title: 210513 polysomeMPRA set1

description: 210513 polysomeMPRA set1 TBD220403
DOI: 10.5281/zenodo.6544988
title: Highly-efficient blue InGaN nanoscale light-emitting diodes

description: Atomic structure files used for DFT calculation for manuscript "Highly-efficient blue InGaN nanoscale light-emitting diodes"<strong> </strong>
DOI: 10.5281/zenodo.6544987
title: Highly-efficient blue InGaN nanoscale light-emitting diodes

description: Atomic structure files used for DFT calculation for manuscript "Highly-efficient blue InGaN nanoscale light-emitting diodes"<strong> </strong>
DOI: 10.6084/m9.figshare.19360955.v2
title: Data with SES details

description: The research goal was to investigate the impact of mindfulness-based training on stress and self-esteem of college students involved in placements. One hundred college students participating in campus placements were selected using purposive sampling from a Amrita School of Engineering, Coimbatore, India. College students were administered with Perceived Stress Scale, Rosenberg Self-Esteem Scale, and Kuppuswamy Socio-Economic Scale.
DOI: 10.5281/zenodo.5797249
title: Instrument response files for seismic stations in South Korea

description: <strong>Citation</strong> If you use it, please cite the following article in your work: Lim and Kim (2020), A dataset of seismic sensor responses of South Korea seismic stations. Journal of the Geological Society of Korea, 56(4), 515-524, http://dx.doi.org/10.14770/jgsk.2020.56.4.515 (Korean with English abstract) <strong>Example 1 (Seismic Analysis Code)</strong> Examples to deconvolve the instrument response from raw data are below, using the Seismic Analysis Code (SAC, version sac-101.6a). 1. A unit of output is 'm/s' <pre><code>r $input rtr rmean taper TRANS FROM POLEZERO S $pzfile TO none FREQ 0.05 0.1 1.5 3.0 w vel.sac q</code></pre> 2. A unit of output is 'm' <pre><code>r $input rtr rmean taper TRANS FROM POLEZERO S $pzfile TO none FREQ 0.05 0.1 1.5 3.0 TRANS FROM VEL TO NONE w disp.sac q</code></pre> 3. A unit of output is 'm/s2' <pre><code>r $input rtr rmean taper TRANS FROM POLEZERO S $pzfile TO none FREQ 0.05 0.1 1.5 3.0 TRANS FROM VEL TO ACC w acc.sac q</code></pre> Note that the unit of the output is incoherent with the SAC header 'IDEP'. <strong>Example 2 (StationXML with obspy)</strong> <pre><code class="language-python">#!/usr/bin/env python3 from obspy import read_inventory from obspy import read st = read('/path/to/waveforms') inv = read_inventory('ksgn.xml') st.detrend(type="linear") st.detrend(type="demean") pref = [0.1, 0.2, 15, 20] #output = m/s**2 st2 = st.copy() st2.remove_response(inventory=inv,output='ACC',pre_filt=pref,taper=True,zero_mean=False) st2[0].write('acc.sac',format="SAC") #... #output = m/s st2 = st.copy() st2.remove_response(inventory=inv,output='VEL',pre_filt=pref,taper=True,zero_mean=False) st2[0].write('vel.sac',format="SAC") #... #output = m st2 = st.copy() st2.remove_response(inventory=inv,output='DISP',pre_filt=pref,taper=True,zero_mean=False) st2[0].write('disp.sac',format="SAC") #...</code></pre> <strong>Update notes</strong> [1.02] Typo in station name of KS.HA2B is modified (KS.HA2B -&gt; HA2B) [1.01] Files for the sensor JC-V100 are provided from Won-Young Kim (2 Dec 2021) Station KS.HA2B is added StationXML file is added (ksgn.xml) [1.00] The files for the KG network are made based on the logs until 12 April 2019 (personal communication with the Korea Institute of Geoscience and Mineral Resources). <strong>Pending works</strong> Reflecting a change in logger of KS.DGY2 <strong>Others</strong> Velocity seismometer https://doi.org/10.5281/zenodo.3700312<br> Accelerometer https://doi.org/10.5281/zenodo.3872436 <strong>License</strong> This distribution follows the Creative Commons Attribution 4.0 International. You are free to modify and redistribute the files.
DOI: 10.5281/zenodo.3700311
title: Instrument response files for seismic stations in South Korea

description: <strong>Citation</strong> If you use it, please cite the following article in your work: Lim and Kim (2020), A dataset of seismic sensor responses of South Korea seismic stations. Journal of the Geological Society of Korea, 56(4), 515-524, http://dx.doi.org/10.14770/jgsk.2020.56.4.515 (Korean with English abstract) <strong>Example 1 (Seismic Analysis Code)</strong> Examples to deconvolve the instrument response from raw data are below, using the Seismic Analysis Code (SAC, version sac-101.6a). 1. A unit of output is 'm/s' <pre><code>r $input rtr rmean taper TRANS FROM POLEZERO S $pzfile TO none FREQ 0.05 0.1 1.5 3.0 w vel.sac q</code></pre> 2. A unit of output is 'm' <pre><code>r $input rtr rmean taper TRANS FROM POLEZERO S $pzfile TO none FREQ 0.05 0.1 1.5 3.0 TRANS FROM VEL TO NONE w disp.sac q</code></pre> 3. A unit of output is 'm/s2' <pre><code>r $input rtr rmean taper TRANS FROM POLEZERO S $pzfile TO none FREQ 0.05 0.1 1.5 3.0 TRANS FROM VEL TO ACC w acc.sac q</code></pre> Note that the unit of the output is incoherent with the SAC header 'IDEP'. <strong>Example 2 (StationXML with obspy)</strong> <pre><code class="language-python">#!/usr/bin/env python3 from obspy import read_inventory from obspy import read st = read('/path/to/waveforms') inv = read_inventory('ksgn.xml') st.detrend(type="linear") st.detrend(type="demean") pref = [0.1, 0.2, 15, 20] #output = m/s**2 st2 = st.copy() st2.remove_response(inventory=inv,output='ACC',pre_filt=pref,taper=True,zero_mean=False) st2[0].write('acc.sac',format="SAC") #... #output = m/s st2 = st.copy() st2.remove_response(inventory=inv,output='VEL',pre_filt=pref,taper=True,zero_mean=False) st2[0].write('vel.sac',format="SAC") #... #output = m st2 = st.copy() st2.remove_response(inventory=inv,output='DISP',pre_filt=pref,taper=True,zero_mean=False) st2[0].write('disp.sac',format="SAC") #...</code></pre> <strong>Update notes</strong> [1.02] Typo in station name of KS.HA2B is modified (KS.HA2B -&gt; HA2B) [1.01] Files for the sensor JC-V100 are provided from Won-Young Kim (2 Dec 2021) Station KS.HA2B is added StationXML file is added (ksgn.xml) [1.00] The files for the KG network are made based on the logs until 12 April 2019 (personal communication with the Korea Institute of Geoscience and Mineral Resources). <strong>Pending works</strong> Reflecting a change in logger of KS.DGY2 <strong>Others</strong> Velocity seismometer https://doi.org/10.5281/zenodo.3700312<br> Accelerometer https://doi.org/10.5281/zenodo.3872436 <strong>License</strong> This distribution follows the Creative Commons Attribution 4.0 International. You are free to modify and redistribute the files.
DOI: 10.6084/m9.figshare.14564388
title: soot redistribution due to phase separation

description: soot redistribution due to phase separation
DOI: 10.6084/m9.figshare.14564388.v2
title: soot redistribution due to phase separation

description: soot redistribution due to phase separation
DOI: 10.6084/m9.figshare.19620618
title: Supplementary Material for: Sex Related Differences in Transcatheter Mitral Valve Repair: A Systematic Review and Meta-analysis

description: Objective: Inequalities in postoperative outcomes between males and females are well described with females often experiencing inferior outcomes after heart valve surgery. Recent literature has demonstrated equivalent or improved outcomes for females after transcatheter aortic valve replacement. Transcatheter mitral valve repair (TMVr) and replacement (TMVR) is a relatively newer field with significantly less literature comparing sex differences. This systematic review and meta-analysis looks to provide a comprehensive summary of the published literature comparing outcomes between males and females undergoing transcatheter MV interventions. Methods: PubMed, Medline, and Scopus were systematically searched for all studies comparing outcomes between males and females undergoing TMVr and TMVR. 2,178 English manuscript titles and abstracts were reviewed. Articles were excluded if data was not provided regarding sex differences, transcatheter MV intervention, full-length text was not accessible, or if insufficient data was provided. 2,170 articles were excluded and 8 articles were included in this study. Results: Pooled estimates of outcomes demonstrated rates of acute kidney injury [OR 1.28 (95% CI, 1.14-1.44; p&lt;0.0001)] favored females while rates of major bleeding favored males [OR 0.85 (95% CI 0.76-0.96; p=0.01)]. Rates of mortality, postoperative MI, and stroke did not differ significantly. Conclusion: A trend has emerged in heart valve interventions with males tending to have improved outcomes after surgical intervention and females experiencing equivalent or improved outcomes after transcatheter interventions. This meta-analysis identified increased rates of acute kidney injury for males, increased rates of major bleeding for females, and otherwise comparable morbidity and mortality in males and females undergoing TMVr.
DOI: 10.6084/m9.figshare.19620618.v1
title: Supplementary Material for: Sex Related Differences in Transcatheter Mitral Valve Repair: A Systematic Review and Meta-analysis

description: Objective: Inequalities in postoperative outcomes between males and females are well described with females often experiencing inferior outcomes after heart valve surgery. Recent literature has demonstrated equivalent or improved outcomes for females after transcatheter aortic valve replacement. Transcatheter mitral valve repair (TMVr) and replacement (TMVR) is a relatively newer field with significantly less literature comparing sex differences. This systematic review and meta-analysis looks to provide a comprehensive summary of the published literature comparing outcomes between males and females undergoing transcatheter MV interventions. Methods: PubMed, Medline, and Scopus were systematically searched for all studies comparing outcomes between males and females undergoing TMVr and TMVR. 2,178 English manuscript titles and abstracts were reviewed. Articles were excluded if data was not provided regarding sex differences, transcatheter MV intervention, full-length text was not accessible, or if insufficient data was provided. 2,170 articles were excluded and 8 articles were included in this study. Results: Pooled estimates of outcomes demonstrated rates of acute kidney injury [OR 1.28 (95% CI, 1.14-1.44; p&lt;0.0001)] favored females while rates of major bleeding favored males [OR 0.85 (95% CI 0.76-0.96; p=0.01)]. Rates of mortality, postoperative MI, and stroke did not differ significantly. Conclusion: A trend has emerged in heart valve interventions with males tending to have improved outcomes after surgical intervention and females experiencing equivalent or improved outcomes after transcatheter interventions. This meta-analysis identified increased rates of acute kidney injury for males, increased rates of major bleeding for females, and otherwise comparable morbidity and mortality in males and females undergoing TMVr.
DOI: 10.5281/zenodo.6519188
title: ETNP_ODZ_time_series

description: Time series of data corresponding to Evans et al. (2022) "Natural variability and expansion of the nitrogen deficit within the Eastern Tropical North Pacific Oxygen Deficient Zone", containing secondary quality controlled data of 8 cruises in the ETNP ODZ, seven of which on the 110 W line, as well as supplemental sediment core data and CalCOFI oxygen data for comparison. Intermediate data products generated by the code used for this paper are also included, and the code to generate these intermediate products as well as the final outputs has been uploaded onto a separate Zenodo repository, "ETNP_ODZ_time_series_code" at https://doi.org/10.5281/zenodo.6519316. More detailed information is available in the README, but should you have any questions, please reach out to Allan Devol or Natalya Evans.