cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4305970
title: DEM simulations of bi-disperse beds during bedload transport

description: This depository contains the data of all DEM simulations used in the publication Chassagne, R., Frey, P., Maurin, R., and Chauchat, J. Mobility of bidisperse mixtures during bedload transport. Physical Review Fluids, 5(11):114307. doi:10.1103/PhysRevFluids.5.114307, as well as post processing scripts to use the data. The simulations are located in seven folders, Monodisperse/ (mondisperse simulations where the fluid forcing is varied), N0.5/ (simulations with 0.5 layer of large particles above a small particle bed and or different fluid forcing), N1/ (simulations with 1 layer of large particles above a small particle bed and or different fluid forcing), N2/, N3/, N4/ and sizeRatio (2 layers of large particles, fixed fluid forcing but the diameter of the underlying small particles is varied). The data of each simulations are contained in separate subfolders named after the simulation. For example, H8Sh0.45/ corresponds to a monodisperse simulation with a bedheight of 8dl (dl is the large particle diameter) and a shields number of 0.45. H10N2R2Sh0.7/ corresponds to a bidisperse simulation with a bed height of 10dl, 2 layers of large particles, a size ratio of 2 between large and small particles and a shields number of 0.7. For each simulation, the time data are saved in data.hdf5 and averaged data in average.hdf5. A GeomParam.txt file is also in each folder. It contains information of the simulation that the post processing programm will read. The python script used to initiate the YADE-DEM simulation is also given for information (it contains all parameters of the simulation). The post-processing programm has been coded in python2.7 with an oriented-object procedure. The h5py package is necessary to read the .hdf5 files. The scripts do not work in python3, but can be very easily adapted if necessary (you only have to modify the "print" functions). The scripts are available in ScriptsPP/ and are organized as follow. For bidisperse simualtions, a mother class in SegregationPP and two child classes SegFull (to load the full time data set) and SegMean (to load only average data). For monodisperse simualtions, a mother class in MonodispersePP and two child classes MonoFull (to load the full time data set) and MonoMean (to load only average data). Two scripts examplePP1.py and examplePP2.py are proposed and show how to manipulate theses classes and the data.
description: Funding by 'Agence nationale de la recherche' project SegSed ANR-16-CE01-0005 and LabEx OSUG@2020 (Investissements d'avenir – ANR10 LABX56)'
DOI: 10.5281/zenodo.4305969
title: DEM simulations of bi-disperse beds during bedload transport

description: This depository contains the data of all DEM simulations used in the publication Chassagne, R., Frey, P., Maurin, R., and Chauchat, J. Mobility of bidisperse mixtures during bedload transport. Physical Review Fluids, 5(11):114307. doi:10.1103/PhysRevFluids.5.114307, as well as post processing scripts to use the data. The simulations are located in seven folders, Monodisperse/ (mondisperse simulations where the fluid forcing is varied), N0.5/ (simulations with 0.5 layer of large particles above a small particle bed and or different fluid forcing), N1/ (simulations with 1 layer of large particles above a small particle bed and or different fluid forcing), N2/, N3/, N4/ and sizeRatio (2 layers of large particles, fixed fluid forcing but the diameter of the underlying small particles is varied). The data of each simulations are contained in separate subfolders named after the simulation. For example, H8Sh0.45/ corresponds to a monodisperse simulation with a bedheight of 8dl (dl is the large particle diameter) and a shields number of 0.45. H10N2R2Sh0.7/ corresponds to a bidisperse simulation with a bed height of 10dl, 2 layers of large particles, a size ratio of 2 between large and small particles and a shields number of 0.7. For each simulation, the time data are saved in data.hdf5 and averaged data in average.hdf5. A GeomParam.txt file is also in each folder. It contains information of the simulation that the post processing programm will read. The python script used to initiate the YADE-DEM simulation is also given for information (it contains all parameters of the simulation). The post-processing programm has been coded in python2.7 with an oriented-object procedure. The h5py package is necessary to read the .hdf5 files. The scripts do not work in python3, but can be very easily adapted if necessary (you only have to modify the "print" functions). The scripts are available in ScriptsPP/ and are organized as follow. For bidisperse simualtions, a mother class in SegregationPP and two child classes SegFull (to load the full time data set) and SegMean (to load only average data). For monodisperse simualtions, a mother class in MonodispersePP and two child classes MonoFull (to load the full time data set) and MonoMean (to load only average data). Two scripts examplePP1.py and examplePP2.py are proposed and show how to manipulate theses classes and the data.
description: Funding by 'Agence nationale de la recherche' project SegSed ANR-16-CE01-0005 and LabEx OSUG@2020 (Investissements d'avenir – ANR10 LABX56)'
DOI: 10.5517/ccdc.csd.cc13q2sp
title: CCDC 1034122: Experimental Crystal Structure Determination

description: Related Article: Anthony F. Hill, Richard A. Manzano, Jas S. Ward|2018|Dalton Trans.|47|14621|doi:10.1039/C8DT02370K
DOI: 10.5281/zenodo.4306295
title: PDS-horse

description: Dataset PDS-horse
DOI: 10.5281/zenodo.4306294
title: PDS-horse

description: Dataset PDS-horse
DOI: 10.25345/c5k19j
title: MassIVE MSV000086558 - Impaired phosphatidylethanolamine metabolism activates a reversible stress response that detects and resolves mutant mitochondrial precursors
title: For decades, the endoplasmic reticulum (ER)-resident tri-methylation pathway of phosphatidylcholine production that is fed by phosphatidylethanolamine (PE) made in the mitochondrion, served as a phospholipid trafficking paradigm. Recently, the strict mitochondrial localization of the enzyme that makes PE in the mitochondrion, phosphatidylserine decarboxylase 1 (Psd1), was questioned. Since a dual localization of Psd1 to the ER would have far-reaching implications, we initiated our study to independently re-assess the subcellular distribution of Psd1. Our results support the unavoidable conclusion that the vast majority, if not all, of functional Psd1 resides in the mitochondrion. Through our efforts, we discovered that mutant forms of Psd1 that impair a self-processing step needed for it to become functional, are dually localized to the ER when expressed in a PE-limiting environment. We conclude that severely impaired cellular PE metabolism provokes an ER-assisted adaptive response that is capable of identifying and resolving nonfunctional mitochondrial precursors.
DOI: 10.18112/openneuro.ds003420.v1.0.0
title: Dataset 1
DOI: 10.6084/m9.figshare.13333760
title: Study on the correlation of prevalence of ocular disease to different demographic variables, medical history and concomitant diseases.

description: The total number of patients participated in the study was 101. Some demographic data and medical history of patients such as age, nationality, gender, family history, and medical history were obtained through a questionnaire found in the study by Samy EL <i>et al</i>. (2018) (1) and presented in Table-1. Among the total participants, 45(44.6%) were male, and 56(55.5%) were female, which indicates that the majority of the participants were women. The average age of a patient was 40.26± 15.4 (Mean ±SD) years (ranging from 13 to 80 years).
DOI: 10.6084/m9.figshare.13333760.v1
title: Study on the correlation of prevalence of ocular disease to different demographic variables, medical history and concomitant diseases.

description: The total number of patients participated in the study was 101. Some demographic data and medical history of patients such as age, nationality, gender, family history, and medical history were obtained through a questionnaire found in the study by Samy EL <i>et al</i>. (2018) (1) and presented in Table-1. Among the total participants, 45(44.6%) were male, and 56(55.5%) were female, which indicates that the majority of the participants were women. The average age of a patient was 40.26± 15.4 (Mean ±SD) years (ranging from 13 to 80 years).
DOI: 10.34740/kaggle/dsv/1712789
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.4304833
title: Supporting data to M. Cavallaro, et al., 3'-5' crosstalk contributes to transcriptional bursting, 2019

description: This repository contains supporting data to reference [1]. Please cite [1] if you find this repository useful. The data include: Flow cytometry data of HBB and HIV transgenes' expression in `.fcs` format. NanoString data for HIV expression. smFISH data for HBB and Akt1 gene expression. [1] M. Cavallaro, <em>et al.</em>, 3'-5' interactions contribute to transcriptional bursting, bioR$\chi$iv 514174. https://doi.org/10.1101/514174
DOI: 10.5281/zenodo.4304832
title: Supporting data to M. Cavallaro, et al., 3'-5' crosstalk contributes to transcriptional bursting, 2019

description: This repository contains supporting data to reference [1]. Please cite [1] if you find this repository useful. The data include: Flow cytometry data of HBB and HIV transgenes' expression in `.fcs` format. NanoString data for HIV expression. smFISH data for HBB and Akt1 gene expression. [1] M. Cavallaro, <em>et al.</em>, 3'-5' interactions contribute to transcriptional bursting, bioR$\chi$iv 514174. https://doi.org/10.1101/514174
DOI: 10.5281/zenodo.4306248
title: Refseq datasets for training frame classification

description: The data is based on andomly selected viral and bacterial genomes and the human193(GRCh38.p13) reference genome which were downloaded from GenBank. From each original nucleic acid sequences we created mutliple patches of length 300 in all possible reading frames using a sliding window on the initial sequence and its reversed complement. For the train and val file, the resulting patches are translated to amino acid sequences of length 100 where the DNA_test file contains the nucleic acid sequences patches of length 300. The data is stored in the FASTA format according to the following convention:<br> <br> &gt;{ID}_subsequence{patch index}_frame{frame index}|{class marker}|{frame index}<br> sequence<br> <br> with<br> <br> ID - denotes the ReSeq accession of the original sequence in the Refseq dataset.<br> sequence - either nucleic acid sequence patch of length 300 (DNA_test) or amino acid sequence of length 100 (train, val)<br> patch_index - denotes the starting triplet of the given patch within the original sequence or reverse complemented sequence (i.e. 3*patch_index is the starting index of frame 0 in the original sequence)<br> class marker - indicates the taxonomic domain<br> 0 - virus<br> 1 - bacteria<br> 2 - human / mammal<br> frame index - indicates the reading frame<br> 0 - on-frame<br> 1 - shifted by one<br> 2 - shifted by two<br> 3 - reverse complemented<br> 4 - shifted by one and reverse complemented<br> 5 - shifted by two and reverse complemented<br> <br> <br> The data is split into test, training and validation set which contain the following number of patches per frame:<br> <br> <br> - train: 1.700.944<br> - test: 212.618<br> - val: 212.618<br>
description: The authors acknowledge the financial support by the Federal Ministry of Education and Research of Germany (BMBF) in the project deep.Health (project number 13FH770IX6).
DOI: 10.5281/zenodo.4306247
title: Refseq datasets for training frame classification

description: The data is based on andomly selected viral and bacterial genomes and the human193(GRCh38.p13) reference genome which were downloaded from GenBank. From each original nucleic acid sequences we created mutliple patches of length 300 in all possible reading frames using a sliding window on the initial sequence and its reversed complement. For the train and val file, the resulting patches are translated to amino acid sequences of length 100 where the DNA_test file contains the nucleic acid sequences patches of length 300. The data is stored in the FASTA format according to the following convention:<br> <br> &gt;{ID}_subsequence{patch index}_frame{frame index}|{class marker}|{frame index}<br> sequence<br> <br> with<br> <br> ID - denotes the ReSeq accession of the original sequence in the Refseq dataset.<br> sequence - either nucleic acid sequence patch of length 300 (DNA_test) or amino acid sequence of length 100 (train, val)<br> patch_index - denotes the starting triplet of the given patch within the original sequence or reverse complemented sequence (i.e. 3*patch_index is the starting index of frame 0 in the original sequence)<br> class marker - indicates the taxonomic domain<br> 0 - virus<br> 1 - bacteria<br> 2 - human / mammal<br> frame index - indicates the reading frame<br> 0 - on-frame<br> 1 - shifted by one<br> 2 - shifted by two<br> 3 - reverse complemented<br> 4 - shifted by one and reverse complemented<br> 5 - shifted by two and reverse complemented<br> <br> <br> The data is split into test, training and validation set which contain the following number of patches per frame:<br> <br> <br> - train: 1.700.944<br> - test: 212.618<br> - val: 212.618<br>
description: The authors acknowledge the financial support by the Federal Ministry of Education and Research of Germany (BMBF) in the project deep.Health (project number 13FH770IX6).
DOI: 10.15468/nm7ted
title: Two new species of oak gall wasps from Turkey (Hymenoptera: Cynipidae Cynipini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mutun, Serap, Dinç, Serdar, Melika, George (2020): Two new species of oak gall wasps from Turkey (Hymenoptera: Cynipidae Cynipini). Zootaxa 4890 (3): 428-438, DOI: https://doi.org/10.11646/zootaxa.4890.3.9
DOI: 10.21258/1384245
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897339
DOI: 10.25934/00005134.1
title: IPD datapackage for study 'A Phase IIIb Multicenter Study With a 12-week Double-blind, Placebo-controlled, Randomized Period Followed by an Open-label, Extension Phase Evaluating Safety/Efficacy of Certolizumab Pegol Given to Patients With Active Rheumatoid Arthritis.' and research request: 'Predicting the Treatment Response of Certolizumab for Individual Patients with Rheumatoid Arthritis: An Individual Participant Data Meta-Analysis - Luo'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.21258/1419342
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 891922
DOI: 10.21258/1383401
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897072
DOI: 10.21258/1384375
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897904
DOI: 10.5281/zenodo.4306446
title: Boutiques-execution-cd1dd2

description: Boutiques execution data-set
DOI: 10.5281/zenodo.4306445
title: Boutiques-execution-cd1dd2

description: Boutiques execution data-set
DOI: 10.34740/kaggle/ds/1015782
title: Reddit 2020 Wisconsin Recount Data
DOI: 10.21258/1423793
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 891748
DOI: 10.21258/1384164
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898813
DOI: 10.21258/1383458
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 897323
DOI: 10.21258/1384187
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898872
DOI: 10.5281/zenodo.4306420
title: PyTorch model for frame classification

description: This is a trained PyTorch model for classifying a DNA sequence's (preferably of length 300) frame within an ORF.
description: The authors acknowledge the financial support by the Federal Ministry of Education and Research of Germany (BMBF) in the project deep.Health (project number 13FH770IX6).
DOI: 10.5281/zenodo.4306419
title: PyTorch model for frame classification

description: This is a trained PyTorch model for classifying a DNA sequence's (preferably of length 300) frame within an ORF.
description: The authors acknowledge the financial support by the Federal Ministry of Education and Research of Germany (BMBF) in the project deep.Health (project number 13FH770IX6).
DOI: 10.21258/1422459
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 893422
DOI: 10.21258/1384241
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 899105
DOI: 10.5281/zenodo.4306491
title: Study on the correlation of prevalence of ocular disease to different demographic variables, medical history and concomitant diseases.

description: Random blood sugar, cholesterol, and triglycerides were analyzed by taking the blood sample from each patient. The average of the parameters was recorded, and the standard deviation (SD) was calculated. The parameters have been presented in the study as mean± SD. Blood sample analysis revealed that the average random blood glucose level (mg/dl) was 113.3±26.9 (Mean ±SD). The average cholesterol level was 189.35± 49.7 mg/dl, and the average triglycerides level was 124.25±50.0 mg/dl. Average systolic and diastolic blood pressure was found to be 126.0 ± 15.5 mmHg and 81.43 ± 8.0 mmHg, respectively. The patients were examined by the dermatologist. The dermatologists observed the signs, and the patients were asked about the presence of the symptoms to evaluate the severity of psoriasis and psoriatic arthropathy. The patients were asked about the duration for which they had been suffering from psoriasis. On average, a patient was found to be suffering from psoriasis for 11.4 ±9.9 years (the duration ranged from a minimum of 1 year to a maximum of 45 years). The doctor screened the patients for the number of sites involved and evaluated the severity of psoriasis via psoriasis area and severity index (PASI) score. Average Psoriasis Area and Severity Index (PASI) for the patients, as recorded by the dermatologists, was found to be 5.94 ± 6.8.
DOI: 10.5281/zenodo.4306490
title: Study on the correlation of prevalence of ocular disease to different demographic variables, medical history and concomitant diseases.

description: Random blood sugar, cholesterol, and triglycerides were analyzed by taking the blood sample from each patient. The average of the parameters was recorded, and the standard deviation (SD) was calculated. The parameters have been presented in the study as mean± SD. Blood sample analysis revealed that the average random blood glucose level (mg/dl) was 113.3±26.9 (Mean ±SD). The average cholesterol level was 189.35± 49.7 mg/dl, and the average triglycerides level was 124.25±50.0 mg/dl. Average systolic and diastolic blood pressure was found to be 126.0 ± 15.5 mmHg and 81.43 ± 8.0 mmHg, respectively. The patients were examined by the dermatologist. The dermatologists observed the signs, and the patients were asked about the presence of the symptoms to evaluate the severity of psoriasis and psoriatic arthropathy. The patients were asked about the duration for which they had been suffering from psoriasis. On average, a patient was found to be suffering from psoriasis for 11.4 ±9.9 years (the duration ranged from a minimum of 1 year to a maximum of 45 years). The doctor screened the patients for the number of sites involved and evaluated the severity of psoriasis via psoriasis area and severity index (PASI) score. Average Psoriasis Area and Severity Index (PASI) for the patients, as recorded by the dermatologists, was found to be 5.94 ± 6.8.
DOI: 10.5517/ccdc.csd.cc21x6nv
title: CCDC 1903947: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Anurag Chaurasiya, Antonin Lyčka, Irán Rojas-León, Herbert Höpfl|2019|J.Organomet.Chem.|898|120859|doi:10.1016/j.jorganchem.2019.07.010
DOI: 10.5517/ccdc.csd.cc21x6pw
title: CCDC 1903948: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Anurag Chaurasiya, Antonin Lyčka, Irán Rojas-León, Herbert Höpfl|2019|J.Organomet.Chem.|898|120859|doi:10.1016/j.jorganchem.2019.07.010
DOI: 10.5517/ccdc.csd.cc21x6qx
title: CCDC 1903949: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Anurag Chaurasiya, Antonin Lyčka, Irán Rojas-León, Herbert Höpfl|2019|J.Organomet.Chem.|898|120859|doi:10.1016/j.jorganchem.2019.07.010
DOI: 10.5517/ccdc.csd.cc21x6ry
title: CCDC 1903950: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Anurag Chaurasiya, Antonin Lyčka, Irán Rojas-León, Herbert Höpfl|2019|J.Organomet.Chem.|898|120859|doi:10.1016/j.jorganchem.2019.07.010
DOI: 10.5517/ccdc.csd.cc21x6sz
title: CCDC 1903951: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Anurag Chaurasiya, Antonin Lyčka, Irán Rojas-León, Herbert Höpfl|2019|J.Organomet.Chem.|898|120859|doi:10.1016/j.jorganchem.2019.07.010
DOI: 10.21258/1422458
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 893421
DOI: 10.5517/ccdc.csd.cc21x6t0
title: CCDC 1903952: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Anurag Chaurasiya, Antonin Lyčka, Irán Rojas-León, Herbert Höpfl|2019|J.Organomet.Chem.|898|120859|doi:10.1016/j.jorganchem.2019.07.010
DOI: 10.5517/ccdc.csd.cc21x6v1
title: CCDC 1903953: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Anurag Chaurasiya, Antonin Lyčka, Irán Rojas-León, Herbert Höpfl|2019|J.Organomet.Chem.|898|120859|doi:10.1016/j.jorganchem.2019.07.010
DOI: 10.5517/ccdc.csd.cc21x6w2
title: CCDC 1903954: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Anurag Chaurasiya, Antonin Lyčka, Irán Rojas-León, Herbert Höpfl|2019|J.Organomet.Chem.|898|120859|doi:10.1016/j.jorganchem.2019.07.010
DOI: 10.5517/ccdc.csd.cc223h90
title: CCDC 1909981: Experimental Crystal Structure Determination

description: Related Article: Andrew Peloquin,  Matthew B. Houck,  Colin D. McMillen,  Scott Iacono,  William T. Pennington|2020|Eur.J.Inorg.Chem.|2020|1720|doi:10.1002/ejic.202000150
DOI: 10.5517/ccdc.csd.cc23hd67
title: CCDC 1951208: Experimental Crystal Structure Determination

description: Related Article: Y.-C. He, L.-Y. Xiao, Z.-H. Yuan, J. Zhang, Y. Wang, N. Xu|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|1562|doi:10.1107/S2053229619014633
DOI: 10.5517/ccdc.csd.cc23hd78
title: CCDC 1951209: Experimental Crystal Structure Determination

description: Related Article: Y.-C. He, L.-Y. Xiao, Z.-H. Yuan, J. Zhang, Y. Wang, N. Xu|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|1562|doi:10.1107/S2053229619014633
DOI: 10.5517/ccdc.csd.cc23rsxl
title: CCDC 1959290: Experimental Crystal Structure Determination

description: Related Article: Y.-C. He, L.-Y. Xiao, Z.-H. Yuan, J. Zhang, Y. Wang, N. Xu|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|1562|doi:10.1107/S2053229619014633
DOI: 10.5517/ccdc.csd.cc241lzs
title: CCDC 1967755: Experimental Crystal Structure Determination

description: Related Article: Huajun Yang,  Yanxiang Wang,  Rajamani Krishna,  Xiaoxia Jia,  Yong Wang,  Anh N. Hong,  Candy Dang,  Henry E. Castillo,  Xianhui Bu,  Pingyun Feng|2020|J.Am.Chem.Soc.|142|2222|doi:10.1021/jacs.9b12924
DOI: 10.5517/ccdc.csd.cc2678tk
title: CCDC 2032788: Experimental Crystal Structure Determination

description: Related Article: Minlang Yang, In Seob Park, Takuma Yasuda|2020|J.Am.Chem.Soc.|142|19468|doi:10.1021/jacs.0c10081
DOI: 10.21258/1422321
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 891836
DOI: 10.21258/1384185
title: Schweizerisches Landesforstinventar - Ergebnistabelle Nr. 898859