cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10076662
title: Dataset related to the article "Outcomes of Transcatheter Aortic Valve Replacement Patients With Different Transvalvular Flow-gradient Patterns"

description: This record contains raw data related to the article "Outcomes of Transcatheter Aortic Valve Replacement Patients With Different Transvalvular Flow-gradient Patterns".
Low-flow low-gradient (LF-LG) aortic stenosis (AS) may occur with preserved or depressed left ventricular ejection fraction (LVEF). Both situations represent the most challenging subset of patients to manage and generally have a poor prognosis. Few and controversial data exist on the outcomes of these patients compared to normal-flow high-gradient (NF-HG) AS following transcatheter aortic valve replacement (TAVR). We sought to characterize different transvalvular flow-gradient patterns and to examine their prognostic value after TAVR. We enrolled 1208 patients with severe AS and categorized as follow: 976 patients NF-HG (mean aortic pressure gradient, MPG≥40mmHg), 107 paradoxical cLF-LG (pLF-LG, MPG<40mmHg, LVEF≥50%, stroke volume index, SVi<35mL/m2), and 125 cLF-LG (MPG<40mmHg, LVEF<50%, SVi<35mL/m2). When compared with NF-HG and pLF-LG, cLF-LG had a worse symptomatic status (NYHA III-IV 86% vs 62% and 67%, p<0.001), a higher prevalence of eccentric hypertrophy and a higher level of LV global afterload reflected by a higher valvuloarterial impedance. Valvular function after TAVR was excellent over time in all patients. While 30-day mortality (p=0.911) did not differ significantly among groups, cLF-LG had a lower 5-year survival rate (LF-LG 50% vs pLF-LG 62% and NF-HG 68%, p<0.05). cLF-LG was associated with a hazard ratio for mortality of 2.41 (95% CI: 1.65-3.52, p<0.001). In conclusion, TAVR is an effective procedure regardless of transvalvular flow-gradient patterns. However, special care should be given to characterized hemodynamic of AS, as patients with pLF-LG had similar survival rates than patients with NF-HG, whereas cLF-LG is associated with a 2-fold increased risk of mortality at 5-year follow-up.
DOI: 10.34740/kaggle/dsv/7011981
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.5281/zenodo.8308136
title: Spatial metatranscriptomics resolves host-bacteria-fungi interactomes, Source Data

description: Source Data for a publication: Spatial metatranscriptomics resolves host-bacteria-fungi interactomes. 


Includes the data sets to generate the results. 


Contains five different experiment types:


- Pst  bacterial infiltration experiment
- Enrichment experiment with different array types
- Comparison between SmT vs. Amp-seq
- Outdoor-grown leaf experiments
- Sterile leaf experiment


For each of the experiments are included (if generated, see the README file):
- Gene count matrices
- Microbial taxa count matrices
- Bright field images
- Alignment files (Spot files)
- Putative microbial reads and related probe information
- Data for enrichment analysis
- Fluorescent images and corresponding fluorescent values
DOI: 10.5281/zenodo.8308137
title: Spatial metatranscriptomics resolves host-bacteria-fungi interactomes, Source Data

description: Source Data for a publication: Spatial metatranscriptomics resolves host-bacteria-fungi interactomes. 


Includes the data sets to generate the results. 


Contains five different experiment types:


- Pst  bacterial infiltration experiment
- Enrichment experiment with different array types
- Comparison between SmT vs. Amp-seq
- Outdoor-grown leaf experiments
- Sterile leaf experiment


For each of the experiments are included (if generated, see the README file):
- Gene count matrices
- Microbial taxa count matrices
- Bright field images
- Alignment files (Spot files)
- Putative microbial reads and related probe information
- Data for enrichment analysis
- Fluorescent images and corresponding fluorescent values
DOI: 10.5281/zenodo.10036539
title: Cleaned libraries and settings matchms library cleaning pipeline

description: Contains the results of library cleaning by matchms library cleaning pipelines. 
ALL_GNPS_NO_PROPOGATED_21_08_2023.mgf library downloaded on 21-08-2023 from https://gnps-external.ucsd.edu/gnpslibrary/ALL_GNPS_NO_PROPOGATED.mgf
compound_name_annotation.csv: This file stores all the compound name based annotations that were found on pubchem. By storing and reusing these running becomes faster.
The 3 folders contain 3 different cleaning pipelines on the GNPS library.
Each folder contains:
A yaml file: This contains the settings used for this run. Should be used to rerun the pipeline with the same settings.
A .py file: This was the script used to run the pipeline. Not recommended to reuse, instead use the yaml file.  
A .log file: Containing the log of the run. At the end the processing report is given.
A .mgf file: The cleaned library spectra.
DOI: 10.5281/zenodo.3716402
title: PAN20 Authorship Analysis: Authorship Verification

description: Task


Authorship verification is the task of deciding whether two texts have been written by the same author based on comparing the texts' writing styles.


In the coming three years at PAN 2020 to PAN 2022, we develop a new experimental setup that addresses three key questions in authorship verification that have not been studied at scale to date:



	

	
Year 1 (PAN 2020): Closed-set verficiation.
	Given a large training dataset comprising of known authors who have written about a given set of topics, the test dataset contains verification cases from a subset of the authors and topics found in the training data.
	
	

	
Year 2 (PAN 2021): Open-set verification.
	Given the training dataset of Year 1, the test dataset contains verification cases from previously unseen authors and topics.
	
	

	
Year 3 (PAN 2022): Suprise task.
	The task of the last year of this evaluation cycle (to be announced at a later time) will be designed with an eye on realism and practical application.
	



This evaluation cycle on authorship verification provides for a renewed challenge of increasing difficulty within a large-scale evaluation. We invite you to plan ahead and participate in all three of these tasks.


More information at: PAN @ CLEF 2020 - Authorship Verification


 


Citing the Dataset


If you use this dataset for your research, please be sure to cite the following paper:

Sebastian Bischoff, Niklas Deckers, Marcel Schliebs, Ben Thies, Matthias Hagen, Efstathios Stamatatos, Benno Stein, and Martin Potthast. The Importance of Suppressing Domain Style in Authorship Analysis. CoRR, abs/2005.14714, May 2020.


Bibtex:


@Article{stein:2020k,
  author =              {Sebastian Bischoff and Niklas Deckers and Marcel Schliebs and Ben Thies and Matthias Hagen and Efstathios Stamatatos and Benno Stein and Martin Potthast},
  journal =             {CoRR},
  month =               may,
  title =               {{The Importance of Suppressing Domain Style in Authorship Analysis}},
  url =                 {https://arxiv.org/abs/2005.14714},
  volume =              {abs/2005.14714},
  year =                2020
}
DOI: 10.5281/zenodo.3716403
title: PAN20 Authorship Analysis: Authorship Verification

description: Task


Authorship verification is the task of deciding whether two texts have been written by the same author based on comparing the texts' writing styles.


In the coming three years at PAN 2020 to PAN 2022, we develop a new experimental setup that addresses three key questions in authorship verification that have not been studied at scale to date:



	

	
Year 1 (PAN 2020): Closed-set verficiation.
	Given a large training dataset comprising of known authors who have written about a given set of topics, the test dataset contains verification cases from a subset of the authors and topics found in the training data.
	
	

	
Year 2 (PAN 2021): Open-set verification.
	Given the training dataset of Year 1, the test dataset contains verification cases from previously unseen authors and topics.
	
	

	
Year 3 (PAN 2022): Suprise task.
	The task of the last year of this evaluation cycle (to be announced at a later time) will be designed with an eye on realism and practical application.
	



This evaluation cycle on authorship verification provides for a renewed challenge of increasing difficulty within a large-scale evaluation. We invite you to plan ahead and participate in all three of these tasks.


More information at: PAN @ CLEF 2020 - Authorship Verification
DOI: 10.5281/zenodo.3724096
title: PAN20 Authorship Analysis: Authorship Verification

description: Task
Authorship verification is the task of deciding whether two texts have been written by the same author based on comparing the texts' writing styles.
In the coming three years at PAN 2020 to PAN 2022, we develop a new experimental setup that addresses three key questions in authorship verification that have not been studied at scale to date:
Year 1 (PAN 2020): Closed-set verficiation.Given a large training dataset comprising of known authors who have written about a given set of topics, the test dataset contains verification cases from a subset of the authors and topics found in the training data.
Year 2 (PAN 2021): Open-set verification.Given the training dataset of Year 1, the test dataset contains verification cases from previously unseen authors and topics.
Year 3 (PAN 2022): Suprise task.The task of the last year of this evaluation cycle (to be announced at a later time) will be designed with an eye on realism and practical application.
This evaluation cycle on authorship verification provides for a renewed challenge of increasing difficulty within a large-scale evaluation. We invite you to plan ahead and participate in all three of these tasks.
More information at: PAN @ CLEF 2020 - Authorship Verification
 
Citing the Dataset
If you use this dataset for your research, please be sure to cite the following paper:Sebastian Bischoff, Niklas Deckers, Marcel Schliebs, Ben Thies, Matthias Hagen, Efstathios Stamatatos, Benno Stein, and Martin Potthast. The Importance of Suppressing Domain Style in Authorship Analysis. CoRR, abs/2005.14714, May 2020.
Bibtex:
@Article{stein:2020k,
  author =              {Sebastian Bischoff and Niklas Deckers and Marcel Schliebs and Ben Thies and Matthias Hagen and Efstathios Stamatatos and Benno Stein and Martin Potthast},
  journal =             {CoRR},
  month =               may,
  title =               {{The Importance of Suppressing Domain Style in Authorship Analysis}},
  url =                 {https://arxiv.org/abs/2005.14714},
  volume =              {abs/2005.14714},
  year =                2020
}
DOI: 10.5281/zenodo.5106099
title: PAN20 Authorship Analysis: Authorship Verification

description: Task


Authorship verification is the task of deciding whether two texts have been written by the same author based on comparing the texts' writing styles.


In the coming three years at PAN 2020 to PAN 2022, we develop a new experimental setup that addresses three key questions in authorship verification that have not been studied at scale to date:



	

	
Year 1 (PAN 2020): Closed-set verficiation.
	Given a large training dataset comprising of known authors who have written about a given set of topics, the test dataset contains verification cases from a subset of the authors and topics found in the training data.
	
	

	
Year 2 (PAN 2021): Open-set verification.
	Given the training dataset of Year 1, the test dataset contains verification cases from previously unseen authors and topics.
	
	

	
Year 3 (PAN 2022): Suprise task.
	The task of the last year of this evaluation cycle (to be announced at a later time) will be designed with an eye on realism and practical application.
	



This evaluation cycle on authorship verification provides for a renewed challenge of increasing difficulty within a large-scale evaluation. We invite you to plan ahead and participate in all three of these tasks.


More information at: PAN @ CLEF 2020 - Authorship Verification


 


Citing the Dataset


If you use this dataset for your research, please be sure to cite the following paper:

Sebastian Bischoff, Niklas Deckers, Marcel Schliebs, Ben Thies, Matthias Hagen, Efstathios Stamatatos, Benno Stein, and Martin Potthast. The Importance of Suppressing Domain Style in Authorship Analysis. CoRR, abs/2005.14714, May 2020.


Bibtex:


@Article{stein:2020k,
  author =              {Sebastian Bischoff and Niklas Deckers and Marcel Schliebs and Ben Thies and Matthias Hagen and Efstathios Stamatatos and Benno Stein and Martin Potthast},
  journal =             {CoRR},
  month =               may,
  title =               {{The Importance of Suppressing Domain Style in Authorship Analysis}},
  url =                 {https://arxiv.org/abs/2005.14714},
  volume =              {abs/2005.14714},
  year =                2020
}
DOI: 10.21227/0fb6-2034
title: Cryogenic Long Channel Bulk CMOS Dataset for Cryogenic CMOS Modeling

description: This dataset contains cryogenic Id-Vd and Id-Vg data with different Vds for N- and P-MOSFET (W/L = 10 μm/1μm) from 300 K to 4 K. A Keysight B1500A semiconductor analyzer attached to a pulse tube refrigerator was used to measure these data. The transconductance, threshold voltage, subthreshold swing, and other parameters of Cryo-CMOS can be obtained by processing these data. In addition, because it is difficult to obtain cryogenic data, these data are of great significance for device modeling and circuit design at cryogenic temperatures. a a a a a a a a a a a a a a  a a a a a a a a  a a  a a a a a a a a a a a a a a
DOI: 10.3886/e195261
title: Political Systems, Regime Memory, and Economic Freedom

description: We expand on the economic research about regime types, culture, institutions, and economic freedom, with the development of a unique measure of regime memory and examine the generational effect of past regimes on a country’s level of economic freedom. Using a panel of 144 countries between 1970-2015 we follow the literature and argue that institutions can be fast and slow-moving. We find evidence that regime memory promotes improvements in (discourages) economic freedom for countries that are historically democratic (autocratic).
DOI: 10.48420/24156465
title: Example patient information sheet for a study site for 'Patient views and experiences of preparatory information for CAR-T therapy in England: a qualitative study.'

description: This link contains the patient information sheet used at the one research site in the study, The Manchester Royal Infirmary (MRI), Manchester University NHS Foundation Trust, at the time of patients in the study being treated with CAR-T cell therapy. A further patent information sheet for the second site, The Christie NHS Foundation Trust, is provided in the text of the manuscript for review. The document Manchester Royal Infirmary CAR-T therapy PIS is shared with permission from the copyright owner under the specified licence.
DOI: 10.5281/zenodo.10161049
title: Variability and Temporality of Lithic Production in Epipaleolithic to Early Neolithic Occupations at Cova del Vidre (Catalonia, Spain)
DOI: 10.5281/zenodo.10161050
title: Variability and Temporality of Lithic Production in Epipaleolithic to Early Neolithic Occupations at Cova del Vidre (Catalonia, Spain)
DOI: 10.5281/zenodo.7930352
title: Local adaptation in the Patagonian foundation tree species Nothofagus pumilio

description: These data include called SNP variants of the Patagonian foundation tree species <em>Nothofagus pumilio</em>. Data for 502 individual tree samples are included: 496 adult trees and 6 replicates. variants-gatk_haplotypecaller_SNP_raw.vcf.gz and .tbi are raw called variants. variants-gatk_haplotypecaller_SNP.vcf.gz and .tbi are leniently quality filtered using best practice thresholds.
DOI: 10.5281/zenodo.10161085
title: Variability and Temporality of Lithic Production in Epipaleolithic to Early Neolithic Occupations at Cova del Vidre (Catalonia, Spain)
DOI: 10.5281/zenodo.10161086
title: Variability and Temporality of Lithic Production in Epipaleolithic to Early Neolithic Occupations at Cova del Vidre (Catalonia, Spain)
DOI: 10.25934/pr00009367.1
title: Available datapackage for study 'A Phase 3, Randomized, Controlled, Open-label Study of VELCADE (Bortezomib) Melphalan-Prednisone (VMP) Compared to Daratumumab in Combination With VMP (D-VMP), in Subjects With Previously Untreated Multiple Myeloma Who Are Ineligible for High-dose Therapy'

description: The purpose of this study is to determine if the addition of daratumumab to velcade (bortezomib) melphalan-prednisone (VMP) will prolong progression-free survival (PFS) compared with VMP alone in participants with previously untreated multiple myeloma who are ineligible for high dose chemotherapy and autologous stem cell transplant (ASCT).
DOI: 10.5281/zenodo.10092289
title: Substrate, Depth, and Shadow Models for PINGMapper v2.0.0

description: Substrate, depth, and shadow segmentation models as part of PINGMapper v2.0.0. Details will be highlighted in a forthcoming manuscript.
Models were trained with Segmentation-Gym.
DOI: 10.5281/zenodo.8305948
title: Substrate, Depth, and Shadow Models for PINGMapper v2.0.0

description: Substrate, depth, and shadow segmentation models to be included with forthcoming PINGMapper v2.0.0. Details will be highlighted in a forthcoming manuscript. Models were trained with Segmentation-Gym.
DOI: 10.5517/ccdc.csd.cc2g2sn0
title: CCDC 2266802: Experimental Crystal Structure Determination

description: Related Article: Hanjun Yang, Sagarmoy Mandal, Yoon Ho Lee, Jee Yung Park, Han Zhao, Chongli Yuan, Libai Huang, Ming Chen, Letian Dou|2023|J.Am.Chem.Soc.|145|23963|doi:10.1021/jacs.3c05745
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: 10.25345/c58c9rf42
title: MassIVE MSV000093435 - Characterization of the molecular determinants of MLL3/4 PHD2 and PHD3 (PHD2/3) fingers binding to ASXL2
title: This submission contains the mass spectrometry files for the manuscript by Yi Zhang et al. that describes the functional characterization of the molecular determinants of MLL3/4 PHD2 and PHD3 (PHD2/3) fingers binding to ASXL2. AP-MS experiments were performed from K562 cells and MS files were acquired on an Orbitrap Fusion mass spectrometer. For questions, please contact Jean-Philippe Lambert (Jean-Philippe.Lambert@crchudequebec.ulaval.ca).
DOI: 10.5281/zenodo.10160860
title: Application of artificial neural network to forecast indoor air temperature in a building with artificial ventilation: impact of early stopping.

description: Indoor air temperature prediction can facilitate energy-saving actions without compromising the indoor thermal comfort of occupants. The aim of this study was to analyse the performance of various artificial neural networks with a view to proposing an optimal approach for predicting the indoor temperature of a tertiary building with artificial ventilation. The MLP, CNN, LSTM models and the CNN-LSTM combination (long short-term memory network) were used and coupled with the optimisation algorithms (Adam, SGD) and the independent hyper-parameters early stopping and dropout. The parameters used are outdoor ambient temperature, outdoor relative humidity, indoor relative humidity, wet bulb temperature, black globe temperature and mean radiant temperature. The data is collected in an artificially ventilated building in Yaoundé, Cameroon. A numerical code was developed in Python to run the simulations. In order to study the impact of the parameters on the prediction, two scenarios were distinguished in this work: (1) all the parameters are input to the network, (2) only the parameters whose absolute value of the correlation coefficient was greater than or equal to 0.5 were used. The impact of early stopping is assessed by distinguishing two case studies: the first without early stopping, the second with early stopping. The results showed that without early stopping, the MLP, CNN, LSTM and CNN-LSTM networks are adequate for predicting the temperature with the second scenario, mainly with both the SGD and Adam algorithms, and CNN-LSTM is the most appropriate model because the MSE and MAE values obtained in this case were closer to 0. With early stopping, the learning time is reduced and the learning curves are improved; the models optimised better with the SGD algorithm in general, but the best neural network model was obtained with the Adam algorithm and the LSTM network for the performances MSE=0.0005, MAE=0.0130 with the second scenario.
Keywords: prediction, indoor temperature, artificial neural network, early stopping, artificially ventilated building.
DOI: 10.48577/jpl.nf2yzv
title: Kilometer-wide shallow bulk plastic yielding around continental active faults, and its relation to the earthquake source and fault frictional properties

description: No abstract available.
DOI: 10.34740/kaggle/dsv/7012392
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.34740/kaggle/ds/4018965
title: Indonesia Stock Exchange (IDX) Stock Price
DOI: 10.18739/a2qz22j8z
title: Fairbanks sulfate isotope measurements during ALPACA (2022）

description: Within and surrounding high-latitude cities, poor air quality disturbs Arctic ecosystems, influences climate, and harms human health. The Fairbanks North Star Borough has wintertime particulate matter (PM) concentrations that exceed the Environmental Protection Agency’s (EPA) threshold for public health. Particulate sulfate (SO42-) is the most abundant inorganic species and contributes approximately 20% of the total PM mass in Fairbanks, but air quality models underestimate observed sulfate concentrations. Here we quantify sulfate sources using size-resolved δ34S(SO42-), δ18O(SO42-), and Δ17O(SO42-) of particulate sulfate in Fairbanks from January 18th to February 25th, 2022 using a Bayesian isotope mixing model. This data contains sulfur and oxygen isotope measurements for size-resolved filter samples collected during the Alaskan Layered Pollution and Chemical Analysis field campaign in 2022. Ambient concentrations of SO2, HMS, non-HMS S(IV), SO4, and the sulfur oxidation ratio are also included. Finally, the median fractional contributions of each oxidation pathway calculated in the Bayesian isotope mixing model are included with their 95% confidence interval.
DOI: 10.5519/qd.9815141t
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (157 records)
DOI: 10.6084/m9.figshare.24549865
title: Fastq files used in: Oomycetes communities are influenced by land use and disease status in Christmas tree production in Southern Québec, Canada.

description: Forests are threatened by many natural stressors intensified by climate change and anthropogenic activities, which tend to increase their susceptibility to pests and pathogens. Consequently, oomycetes-related forest decline or dieback cases are increasing in natural, urban, and agricultural landscapes. Christmas tree growers from Southern Québec, Canada, are experiencing root rot problems, with reported incidences up to 25%. In a previous study, seven Phytophthora spp. were associated with this root rot problem, but the overall diversity of oomycetes has not yet been investigated. Hence, in this study, we use a metabarcoding approach to provide an overview of the diversity, richness, and composition of the oomycetes community in fir plantations compared to surrounding natural forests.Details about data structure and analyses are available at: https://github.com/hvanderheyden/cimdec_phytophthora.