cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24942516
title: CO2 emissions from power sector.xlsx

description: We proposes a novel framework for calculating CO2 emissions from the power sector, utilizing the energy flow relationship between the power and thermal sectors. This framework effectively separates the emissions from the specific production activities of these closely linked sectors. Using this framework, we calculated the CO2 emissions from the power sector at both the national level and across 30 provinces in China for the years 1997-2021.
DOI: 10.25582/data.2022-12.2693752/2278610
title: Data for EMSL Project 60240 from December 2022
DOI: 10.25582/data.2022-12.2694256/2278611
title: Data for EMSL Project 60240 from December 2022
DOI: 10.25582/data.2022-12.2694154/2278612
title: Data for EMSL Project 60240 from December 2022
DOI: 10.25582/data.2022-12.2694363/2278613
title: Data for EMSL Project 60240 from December 2022
DOI: 10.25582/data.2022-12.2695486/2278614
title: Data for EMSL Project 60240 from December 2022
DOI: 10.25582/data.2022-12.2693754/2278615
title: Data for EMSL Project 60240 from December 2022
DOI: 10.25582/data.2022-12.2694266/2278616
title: Data for EMSL Project 60240 from December 2022
DOI: 10.25582/data.2022-12.2693995/2278617
title: Data for EMSL Project 60240 from December 2022
DOI: 10.25582/data.2022-12.2677079/2278618
title: Data for EMSL Project 60276 from December 2022
DOI: 10.6084/m9.figshare.23708010
title: Effects of precise cardio sounds on the success rate of phonocardiography

description: Code and Dataset for 'Effects of precise cardio sounds on the success rate of phonocardiography' on PLOS ONE<br>The protocol for this study was approved by the Institutional Review Board for Seoul St.Mary’s Hospital (approval no. KC17TESI0684 ).<br>Infrasound_Dataset is deep learning model which train & validate from our infrasound datasets with Tensorflow version 1.14dataset file is .hdf5 files which can load with python.The structure of the dataset file is shown below.normal data: 0, 1, sex_data, age_data, fold_label, flatten data(2d CWT)abnormal data: 1, 0, sex_data, age_data, fold_label, flatten data(2d CWT)Reference Files is a list of labels for datasets, separated by measurement period.Infrasound dataset's Deep learning model & train file is classify_cnn_keras_noReg_crb.py & classify_lstm_keras_noReg_crb.pyPhysioNet_Dataset is deep learning model which train & validate from PhysioNet CinC 2016 datasets with Tensorflow version 1.14PhysioNet's Deep learning model & train file is classify_cnn_keras_noreg_crb.py & classify_lstm_keras_noreg_crb.pyThe code_heartsound.m file performs a Continuous Wavelet Transform (CWT) on an audio file and saves the results in a CSV fileFig2 is the code for draw FFT results to compare Normal & Abnormal dataFig3 is the code for draw Time-domain & CWT & STFT data using one example dataThe original audio files without any pre-processing can be requested by contacting the authors Mi-Hyung Moon(sophiamoon@daum.net) or Young-Sin Kim(kysin@postech.ac.kr)
DOI: 10.6084/m9.figshare.23708010.v1
title: Effects of precise cardio sounds on the success rate of phonocardiography

description: Code and Dataset for 'Effects of precise cardio sounds on the success rate of phonocardiography'
 
The protocol for this study was approved by the Institutional Review Board for Seoul St.Mary’s Hospital (approval no. KC17TESI0684 ).
<br>
Infrasound_Dataset is deep learning model which train & validate from our infrasound datasets
dataset file is .hdf5 files which can load with python.
The structure of the dataset file is shown below.

 normal data: 0, 1, sex_data, age_data, fold_label, flatten data(2d CWT)
 abnormal data: 1, 0, sex_data, age_data, fold_label, flatten data(2d CWT)

Reference Files is a list of labels for datasets, separated by measurement period. 
<br>
PhysioNet_Dataset is deep learning model which train & validate from PhysioNet CinC 2016 datasets
Fig2 is the code for draw FFT results to compare Normal & Abnormal data
Fig3 is the code for draw Time-domain & CWT & STFT data using one example data
DOI: 10.23729/7658573a-b677-4f3b-a71a-796044d4e3f2
title: Dataset of the article "Assessing alkali activation of waste stone wool from greenhouses combined with direct foaming or granulation to obtain recycled plant substrate"

description: This contains raw data for the article "Assessing alkali activation of waste stone wool from greenhouses combined with direct foaming or granulation to obtain recycled plant substrate".
DOI: 10.5281/zenodo.10275974
title: Supporting data set for "Seasonal and diurnal variations of dust storms in Martian Year 36 based on the EMM-EXI database"

description: The file comprises the dust storm database compiled from images captured by the Emirates eXploration Imager (EXI) aboard the Emirates Mars Mission (EMM). This database provides crucial details, including the start and end times of dust storms, their areal extent, and the latitude and longitude of the centroid. It is the supporting data set for the manuscript "Seasonal and diurnal variations of dust storms in Martian Year 36 based on the EMM-EXI database".
DOI: 10.5281/zenodo.10275973
title: Supporting data set for "Seasonal and diurnal variations of dust storms in Martian Year 36 based on the EMM-EXI database"

description: The file comprises the dust storm database compiled from images captured by the Emirates eXploration Imager (EXI) aboard the Emirates Mars Mission (EMM). This database provides crucial details, including the start and end times of dust storms, their areal extent, and the latitude and longitude of the centroid. It is the supporting data set for the manuscript "Seasonal and diurnal variations of dust storms in Martian Year 36 based on the EMM-EXI database".
DOI: 10.6084/m9.figshare.24947523
title: Supplementary Material for: Low-Dose Versus Standard-Dose Alteplase in Bridging Therapy for Large Vessel Stroke: A Systematic Review and Meta-Analysis

description: INTRODUCTION The efficacy and safety of low- and standard-dose alteplase for acute ischemic stroke (AIS) have not been consistently compared in previous studies. Nevertheless, the distinctions in the effects of low- and standard-dose alteplase, particularly within the context of bridging therapy (BT) for large vessel occlusion (LVO), warrant further exploration. This study compared clinical outcomes between BT with low- and standard-dose alteplase in patients with LVO-related AIS.
METHODS We performed a search for randomized controlled trials and prospective or retrospective cohort studies investigating the clinical outcomes of BT in AIS in the PubMed, Embase, and Cochrane Library databases from inception to November 2022. The outcomes of interest were 90-day functional independence, successful recanalization, symptomatic intracerebral hemorrhage (sICH) and mortality; these outcomes were compared between patients who received BT with low- (primarily 0.6 mg/kg) and standard-dose alteplase (0.9 mg/kg). We used the standard-dose group as the reference and calculated the odds ratio (OR) and its 95% confidence interval (CI) from the raw numbers. Meta-analysis and ethnicity-based subgroup analysis (Asian and non-Asian) were performed.
RESULTS Five observational studies, published after 2017 and including 408 patients, were included. The meta-analysis results demonstrated that compared with BT with standard-dose alteplase, BT with low-dose alteplase did not improve 90-day functional independence (odds ratio, [OR] 1.02; 95% confidence interval [CI], 0.58–1.80). Nevertheless, BT with low-dose alteplase was associated with a comparable successful recanalization rate (OR, 1.35; 95% CI, 0.68–2.67) and similar sICH incidence (OR 0.36; 95% CI, 0.10–1.36), and mortality (OR, 0.64; 95% CI, 0.27–1.54) compared with BT with standard-dose alteplase; however, the above three results were nonsignificant. In the ethnicity-based subgroup analyses, no differences were noted between Asian and non-Asian participants.
CONCLUSIONS In patients with LVO-related AIS, BT with low- or standard-dose alteplase may provide similar efficacy, with no significant differences in sICH incidence and mortality. Additional well-designed prospective studies are required to confirm this result.
DOI: 10.6084/m9.figshare.24947385
title: Untitled Item

description: 3448 H/M quality MAGs
DOI: 10.6084/m9.figshare.23820915
title: Dogs Vital Sign Dataset

description: For detailed description, please refer to our data-descriptor published in Nature, Scientific Data journal.
DOI: 10.25345/c5vh5cv41
title: MassIVE MSV000093771 - Differences in the composition of surface proteins in response to YIPF5 depletion or mutation
title: Surfaceome analysis was performed on MCF10A cells under various conditions, including wild-type (wt), YIPF5-depleted, YIPF5-mutated, and cells with re-expression of wild-type YIPF5. The primary objective was to discern differences in the composition of surface proteins in response to YIPF5 depletion or mutation. Additionally, a comprehensive whole proteome analysis was carried out to provide a comprehensive overview of the proteomic landscape in the analyzed cells.
DOI: 10.5281/zenodo.10452957
title: KidFirst_bw
DOI: 10.5281/zenodo.10452958
title: KidFirst_bw
DOI: 10.5281/zenodo.10460922
title: KidFirst_bw
DOI: 10.6084/m9.figshare.24941466
title: Rfallow and related environmental, management and sampling factors from published studies.

description: Croplands account for ~1/3 of global anthropogenic nitrous oxide (N<sub>2</sub>O) emissions. A number of recent field experiments found substantial fallow-period N<sub>2</sub>O emissions, which have been neglected for decades. However, the global contribution of the fallow-period emissions and the associated drivers remain unclear. Based on 360 observations across global agroecosystems, we simulated the ratio of the fallow to the whole-year N<sub>2</sub>O emissions (R<sub>fallow</sub>) by developing a mixed-effect model and compiling cropping-system-specific input data. Our results revealed that the mean global gridded R<sub>fallow</sub> was 44% (15-75%, 95% confidence interval), with hotspots mainly in the northern high latitudes. For most cropping systems, soil pH was the dominant driver of global variation in R<sub>fallow</sub>. Global cropland emission factors (i.e., the percentage of fertilizer N emitted as N<sub>2</sub>O, EFs) in EF-based models doubled to 1.9% when the fallow-period N<sub>2</sub>O emissions were included in our simulation, similar to EFs estimated by process-based and atmospheric inversion models (1.8-2.3%). Overall, our study highlights the importance of fallow-period N<sub>2</sub>O emissions in annual totals, especially for single cropping systems and croplands in acidic areas. To accurately estimate N<sub>2</sub>O emissions for national greenhouse gas inventories, it is crucial to update current EFs with full consideration of the fallow-period N<sub>2</sub>O emissions in the Intergovernmental Panel on Climate Change (IPCC) Tier 1 method.
DOI: 10.6084/m9.figshare.24941466.v1
title: Rfallow and related environmental, management and sampling factors from published studies.

description: Croplands account for ~1/3 of global anthropogenic nitrous oxide (N<sub>2</sub>O) emissions. A number of recent field experiments found substantial fallow-period N<sub>2</sub>O emissions, which have been neglected for decades. However, the global contribution of the fallow-period emissions and the associated drivers remain unclear. Based on 360 observations across global agroecosystems, we simulated the ratio of the fallow to the whole-year N<sub>2</sub>O emissions (R<sub>fallow</sub>) by developing a mixed-effect model and compiling cropping-system-specific input data. Our results revealed that the mean global gridded R<sub>fallow</sub> was 44% (15-75%, 95% confidence interval), with hotspots mainly in the northern high latitudes. For most cropping systems, soil pH was the dominant driver of global variation in R<sub>fallow</sub>. Global cropland emission factors (i.e., the percentage of fertilizer N emitted as N<sub>2</sub>O, EFs) in EF-based models doubled to 1.9% when the fallow-period N<sub>2</sub>O emissions were included in our simulation, similar to EFs estimated by process-based and atmospheric inversion models (1.8-2.3%). Overall, our study highlights the importance of fallow-period N<sub>2</sub>O emissions in annual totals, especially for single cropping systems and croplands in acidic areas. To accurately estimate N<sub>2</sub>O emissions for national greenhouse gas inventories, it is crucial to update current EFs with full consideration of the fallow-period N<sub>2</sub>O emissions in the Intergovernmental Panel on Climate Change (IPCC) Tier 1 method.
DOI: 10.5517/ccdc.csd.cc2hbvsh
title: CCDC 2304347: Experimental Crystal Structure Determination

description: Related Article: Xue-Long Wang, Jun-Yi Zeng, Yi Yang, Yan Jiang|2024|Tetrahedron Lett.|135|154886|doi:10.1016/j.tetlet.2023.154886
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hbw0r
title: CCDC 2304354: Experimental Crystal Structure Determination

description: Related Article: Xue-Long Wang, Jun-Yi Zeng, Yi Yang, Yan Jiang|2024|Tetrahedron Lett.|135|154886|doi:10.1016/j.tetlet.2023.154886
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10460939
title: PARSEC D(DO)MP. Project tracksheets: scholarly publications, non peer-reviewed digital outputs, dataset log, and software log.

description: This project outcome is allied to the Data and Digital Output Management Plan for the project (Stall et al. 2023). This resource contains templates for others to use when tracking their project outcomes and usages, accompanied by filled worksheets for the PARSEC project up until the date of version 2 (30 December 2023).

The material provided is available as examplars from the PARSEC project and for use by others (excel templates) for the following categories:



Scholarly Publications 

Non Peer-Reviewed Digital Outputs (to include Datasets, Software, Conferences, Posters, Presentations, Training Materials, Workshop Materials, etc.)

Datasets - working log of datasets reviewed for use by the project                                               

Software - working log for software reviewed by the project (to include Models, Notebooks, Workflow, etc.)


V2 contains an update for non peer-reviewed digital outputs (2a) containing new and discovered outputs.

Stall, Shelley, Specht, Alison, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Edmunds, Rorie, Mabile, Laurence, Machicao, Jeaneth, Miyairi, Nobuko, Murayama, Yasuhiro, O'Brien, Margaret, Wyborn, Lesley, & Vellenich, Danton Ferreira. (2023). PARSEC Data and Digital Output Management Plan and Workbook. Zenodo. https://doi.org/10.5281/zenodo.3891426.
description: This research is product of the PARSEC group funded by the Belmont Forum as part of its Collaborative Research Action (CRA) on Science-Driven e-Infrastructures Innovation (SEI) with funding from the ANR, FAPESP, NSF and JST with the synthesis centre CESAB of the French Foundation for Research on Biodiversity.
DOI: 10.4121/710585da-ed2e-4d36-b8e4-ad02c3af1e65
title: Supplementary data for the paper 'Can ChatGPT be used to predict citation counts, readership, and social media interaction? An exploration among 2222 scientific abstracts'

description: This study explores the potential of ChatGPT, a large language model, in scientometrics by assessing its ability to predict citation counts, Mendeley readers, and social media engagement. In this study, 2222 abstracts from PLOS ONE articles published during the initial months of 2022 were analyzed using ChatGPT-4, which used a set of 60 criteria to assess each abstract. Using a principal component analysis, three components were identified: Quality and Reliability, Accessibility and Understandability, and Novelty and Engagement. The Accessibility and Understandability of the abstracts correlated with higher Mendeley readership, while Novelty and Engagement and Accessibility and Understandability were linked to citation counts (Dimensions, Scopus, Google Scholar) and social media attention. Quality and Reliability showed minimal correlation with citation and altmetrics outcomes. Finally, it was found that the predictive correlations of ChatGPT-based assessments surpassed traditional readability metrics. The findings highlight the potential of large language models in scientometrics and possibly pave the way for AI-assisted peer review.
DOI: 10.4121/710585da-ed2e-4d36-b8e4-ad02c3af1e65.v1
title: Supplementary data for the paper 'Can ChatGPT be used to predict citation counts, readership, and social media interaction? An exploration among 2222 scientific abstracts'

description: This study explores the potential of ChatGPT, a large language model, in scientometrics by assessing its ability to predict citation counts, Mendeley readers, and social media engagement. In this study, 2222 abstracts from PLOS ONE articles published during the initial months of 2022 were analyzed using ChatGPT-4, which used a set of 60 criteria to assess each abstract. Using a principal component analysis, three components were identified: Quality and Reliability, Accessibility and Understandability, and Novelty and Engagement. The Accessibility and Understandability of the abstracts correlated with higher Mendeley readership, while Novelty and Engagement and Accessibility and Understandability were linked to citation counts (Dimensions, Scopus, Google Scholar) and social media attention. Quality and Reliability showed minimal correlation with citation and altmetrics outcomes. Finally, it was found that the predictive correlations of ChatGPT-based assessments surpassed traditional readability metrics. The findings highlight the potential of large language models in scientometrics and possibly pave the way for AI-assisted peer review.
DOI: 10.34740/kaggle/ds/1877538
title: Tourist Landmark Dataset
DOI: 10.4121/82306610-84ab-4aed-a759-5ec92567b7d5
title: Floating Plastic Detection Dataset underlying the publication: Hand-Crafted Features for Floating Plastic Detection

description: Image data accompanying the paper "Hand-Crafted Features for Floating Plastic Detection" by Matija Sukno, Ivana Palunko. Consists of UAV captured imagery of floating plastic debris (bottles, bags, snack wraps, lids and plastic ropes) at different locations / weather conditions split into training, validation and test set.
DOI: 10.4121/82306610-84ab-4aed-a759-5ec92567b7d5.v1
title: Floating Plastic Detection Dataset underlying the publication: Hand-Crafted Features for Floating Plastic Detection

description: Image data accompanying the paper "Hand-Crafted Features for Floating Plastic Detection" by Matija Sukno, Ivana Palunko. Consists of UAV captured imagery of floating plastic debris (bottles, bags, snack wraps, lids and plastic ropes) at different locations / weather conditions split into training, validation and test set.
DOI: 10.6084/m9.figshare.24947553
title: Online supplementary material from the postdoctoral thesis of Yuxing Xu in Kunming Institute of Botany

description: Orobanchaceae is the largest family of parasitic plants, containing autotrophic and parasitic plants with all degrees of parasitism. This makes it by far the best family for studying the origin and evolution of plant parasitism. Here we provide three high-quality genomes of orobanchaceous plants, the autotrophic <i>Lindenbergia luchunensis</i> and the holoparasitic plants <i>Phelipanche aegyptiaca</i> and <i>Orobanche cumana</i>. Phylogenomic analysis of these three genomes together with those previously published and the transcriptomes of other orobanchaceous species, created a robust phylogenetic framework for Orobanchaceae. We found that an ancient whole-genome duplication (WGD; about 73.48 Mya), which occurred earlier than the origin of Orobanchaceae, might have contributed to the emergence of parasitism. However, no WGD events occurred in any lineage of orobanchaceous parasites except for <i>Striga </i>after divergence from their autotrophic common ancestor, suggesting that, in contrast to previous speculations, WGD is not associated with the emergence of holoparasitism. We detected evident convergent gene loss in all parasites within Orobanchaceae and between Orobanchaceae and dodder <i>Cuscuta australis</i>. The gene families in the orobanchaceous parasites showed a clear pattern of recent gains and expansions. The expanded gene families are enriched in functions related to the development of the haustorium, suggesting that recent gene family expansions may have facilitated the adaptation of orobanchaceous parasites to different hosts. This study illustrates a stepwise pattern in the evolution of parasitism in the orobanchaceous parasites, and will facilitate future studies on parasitism and the control of parasitic plants in agriculture.
DOI: 10.6084/m9.figshare.24947553.v1
title: Online supplementary material from the postdoctoral thesis of Yuxing Xu in Kunming Institute of Botany

description: Orobanchaceae is the largest family of parasitic plants, containing autotrophic and parasitic plants with all degrees of parasitism. This makes it by far the best family for studying the origin and evolution of plant parasitism. Here we provide three high-quality genomes of orobanchaceous plants, the autotrophic <i>Lindenbergia luchunensis</i> and the holoparasitic plants <i>Phelipanche aegyptiaca</i> and <i>Orobanche cumana</i>. Phylogenomic analysis of these three genomes together with those previously published and the transcriptomes of other orobanchaceous species, created a robust phylogenetic framework for Orobanchaceae. We found that an ancient whole-genome duplication (WGD; about 73.48 Mya), which occurred earlier than the origin of Orobanchaceae, might have contributed to the emergence of parasitism. However, no WGD events occurred in any lineage of orobanchaceous parasites except for <i>Striga </i>after divergence from their autotrophic common ancestor, suggesting that, in contrast to previous speculations, WGD is not associated with the emergence of holoparasitism. We detected evident convergent gene loss in all parasites within Orobanchaceae and between Orobanchaceae and dodder <i>Cuscuta australis</i>. The gene families in the orobanchaceous parasites showed a clear pattern of recent gains and expansions. The expanded gene families are enriched in functions related to the development of the haustorium, suggesting that recent gene family expansions may have facilitated the adaptation of orobanchaceous parasites to different hosts. This study illustrates a stepwise pattern in the evolution of parasitism in the orobanchaceous parasites, and will facilitate future studies on parasitism and the control of parasitic plants in agriculture.