cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6467551
title: Datasets for Performance Comparison of kNN and GD

description: These datasets are used in the project Performance Comparison of kNN and GD. It contains the fish (https://www.kaggle.com/aungpyaeap/fish-market) and employee (https://www.openml.org/d/42125) dataset.
DOI: 10.5281/zenodo.6467550
title: Datasets for Performance Comparison of kNN and GD

description: These datasets are used in the project Performance Comparison of kNN and GD. It contains the fish (https://www.kaggle.com/aungpyaeap/fish-market) and employee (https://www.openml.org/d/42125) dataset.
DOI: 10.5281/zenodo.6467615
title: Training and Test Subsets for Performance Comparison of kNN and GD

description: The training and test subsets of the fish (https://www.kaggle.com/aungpyaeap/fish-market) and employee (https://www.openml.org/d/42125) dataset. As well as the full employee dataset as CSV.
DOI: 10.5281/zenodo.6467614
title: Training and Test Subsets for Performance Comparison of kNN and GD

description: The training and test subsets of the fish (https://www.kaggle.com/aungpyaeap/fish-market) and employee (https://www.openml.org/d/42125) dataset. As well as the full employee dataset as CSV.
DOI: 10.5517/ccdc.csd.cc1zh3p8
title: CCDC 1831780: Experimental Crystal Structure Determination

description: Related Article: Lucile Andna, Laurence Miesch|2018|Org.Lett.|20|3430|doi:10.1021/acs.orglett.8b01407
description: Related Article: Yongxiang Zheng, Lucile Andna, Olivia Bistri, Laurence Miesch|2020|Org.Lett.|22|6771|doi:10.1021/acs.orglett.0c02251
DOI: 10.5517/ccdc.csd.cc24cvcr
title: CCDC 1977594: Experimental Crystal Structure Determination

description: Related Article: Lepeng Chen, Julin Gong, Yetong Zhang, Yinlin Shao, Zhongyan Chen, Renhao Li, Jiuxi Chen|2020|Org.Lett.|22|6943|doi:10.1021/acs.orglett.0c02478
DOI: 10.5517/ccdc.csd.cc24czwd
title: CCDC 1977734: Experimental Crystal Structure Determination

description: Related Article: Lepeng Chen, Julin Gong, Yetong Zhang, Yinlin Shao, Zhongyan Chen, Renhao Li, Jiuxi Chen|2020|Org.Lett.|22|6943|doi:10.1021/acs.orglett.0c02478
DOI: 10.5517/ccdc.csd.cc24czxf
title: CCDC 1977735: Experimental Crystal Structure Determination

description: Related Article: Lepeng Chen, Julin Gong, Yetong Zhang, Yinlin Shao, Zhongyan Chen, Renhao Li, Jiuxi Chen|2020|Org.Lett.|22|6943|doi:10.1021/acs.orglett.0c02478
DOI: 10.5517/ccdc.csd.cc24d0vf
title: CCDC 1977764: Experimental Crystal Structure Determination

description: Related Article: Lepeng Chen, Julin Gong, Yetong Zhang, Yinlin Shao, Zhongyan Chen, Renhao Li, Jiuxi Chen|2020|Org.Lett.|22|6943|doi:10.1021/acs.orglett.0c02478
DOI: 10.5517/ccdc.csd.cc25590p
title: CCDC 2001081: Experimental Crystal Structure Determination

description: Related Article: Yongxiang Zheng, Lucile Andna, Olivia Bistri, Laurence Miesch|2020|Org.Lett.|22|6771|doi:10.1021/acs.orglett.0c02251
DOI: 10.5517/ccdc.csd.cc25591q
title: CCDC 2001082: Experimental Crystal Structure Determination

description: Related Article: Yongxiang Zheng, Lucile Andna, Olivia Bistri, Laurence Miesch|2020|Org.Lett.|22|6771|doi:10.1021/acs.orglett.0c02251
DOI: 10.5517/ccdc.csd.cc2581q7
title: CCDC 2003738: Experimental Crystal Structure Determination

description: Related Article: Yuto Sumida, Ryu Harada, Tomoe Sumida, Kohei Johmoto, Hidehiro Uekusa, Takamitsu Hosoya|2020|Org.Lett.|22|6687|doi:10.1021/acs.orglett.0c02584
DOI: 10.5517/ccdc.csd.cc25c5k9
title: CCDC 2006740: Experimental Crystal Structure Determination

description: Related Article: Xinyue Chen, Danyang Zhang, Dan Xu, Huan Zhou, Gong Xu|2020|Org.Lett.|22|6993|doi:10.1021/acs.orglett.0c02548
DOI: 10.5517/ccdc.csd.cc25d45x
title: CCDC 2007658: Experimental Crystal Structure Determination

description: Related Article: Xinyue Chen, Danyang Zhang, Dan Xu, Huan Zhou, Gong Xu|2020|Org.Lett.|22|6993|doi:10.1021/acs.orglett.0c02548
DOI: 10.5517/ccdc.csd.cc25jgw2
title: CCDC 2011834: Experimental Crystal Structure Determination

description: Related Article: Rongfang Liu, Jialin Liu, Jilei Cao, Ruifeng Li, Rong Zhou, Yan Qiao, Wen-Chao Gao|2020|Org.Lett.|22|6922|doi:10.1021/acs.orglett.0c02453
DOI: 10.5517/ccdc.csd.cc25mg5g
title: CCDC 2014695: Experimental Crystal Structure Determination

description: Related Article: Takayuki Miyamae, Makoto Haraguchi, Yoshimitsu Tachi, Shuichi Suzuki, Masatoshi Kozaki, Keiji Okada|2020|Org.Lett.|22|6790|doi:10.1021/acs.orglett.0c02305
DOI: 10.5517/ccdc.csd.cc25mg6h
title: CCDC 2014696: Experimental Crystal Structure Determination

description: Related Article: Takayuki Miyamae, Makoto Haraguchi, Yoshimitsu Tachi, Shuichi Suzuki, Masatoshi Kozaki, Keiji Okada|2020|Org.Lett.|22|6790|doi:10.1021/acs.orglett.0c02305
DOI: 10.5517/ccdc.csd.cc25mswh
title: CCDC 2015027: Experimental Crystal Structure Determination

description: Related Article: Jun-Yang Ong, Xiao Qian Ng, Shenci Lu, Yu Zhao|2020|Org.Lett.|22|6447|doi:10.1021/acs.orglett.0c02266
DOI: 10.5517/ccdc.csd.cc25pb4c
title: CCDC 2016492: Experimental Crystal Structure Determination

description: Related Article: Michael Andresini, Mauro Spennacchio, Giuseppe Romanazzi, Fulvio Ciriaco, Guy Clarkson, Leonardo Degennaro, Renzo Luisi|2020|Org.Lett.|22|7129|doi:10.1021/acs.orglett.0c02471
DOI: 10.5517/ccdc.csd.cc25pb5d
title: CCDC 2016493: Experimental Crystal Structure Determination

description: Related Article: Michael Andresini, Mauro Spennacchio, Giuseppe Romanazzi, Fulvio Ciriaco, Guy Clarkson, Leonardo Degennaro, Renzo Luisi|2020|Org.Lett.|22|7129|doi:10.1021/acs.orglett.0c02471
DOI: 10.6084/m9.figshare.19606249
title: Recording - Towards Interoperability: Enhanced Data Lake for Science Data Analysis

description: Using cloud based data lake service to address interoperability and analysis needs of the Earth Science community. This presentation was given at the 2022 NASA ESDSWG Meeting (April 19-21, 2022).
DOI: 10.6084/m9.figshare.19606249.v1
title: Recording - Towards Interoperability: Enhanced Data Lake for Science Data Analysis

description: Using cloud based data lake service to address interoperability and analysis needs of the Earth Science community. This presentation was given at the 2022 NASA ESDSWG Meeting (April 19-21, 2022).
DOI: 10.6084/m9.figshare.19609968
title: Supplementary Material – Synopsis of Loganiaceae in Pernambuco, Brazil

description: <strong>Table S1</strong> – Comparison of carpologic and epistyle characters among <em>Spigelia </em>species in Pernambuco. <strong>Table S2</strong> – Loganiaceae species in Conservation Units in the state of Pernambuco. Part of the paper "<strong>Synopsis</strong> <strong>of</strong> <strong>Loganiaceae</strong> <strong>in</strong> <strong>Pernambuco,</strong> <strong>Brazil</strong>", doi: http://dx.doi.org/10.1590/2175-7860202273053
DOI: 10.6084/m9.figshare.19609968.v1
title: Supplementary Material – Synopsis of Loganiaceae in Pernambuco, Brazil

description: <strong>Table S1</strong> – Comparison of carpologic and epistyle characters among <em>Spigelia </em>species in Pernambuco. <strong>Table S2</strong> – Loganiaceae species in Conservation Units in the state of Pernambuco. Part of the paper "<strong>Synopsis</strong> <strong>of</strong> <strong>Loganiaceae</strong> <strong>in</strong> <strong>Pernambuco,</strong> <strong>Brazil</strong>", doi: http://dx.doi.org/10.1590/2175-7860202273053
DOI: 10.5519/qd.eujtzhv4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5113224 records)
DOI: 10.18120/n5q5-6k30
title: Generalized Click
DOI: 10.5281/zenodo.6467640
title: Artifacts of Smart Selection

description: These files are the artifacts of Smart Selection: benchmark_classes.csv: This file shows all Java classes to evaluate Smart Selection. binary.zip: This file contains the binary file that implements smart selection. The detailed introduction can be found in the README.md inside the zip. experimental_data.zip: This file contains the coverage statistics data of the experiments.
DOI: 10.5281/zenodo.6467639
title: Artifacts of Smart Selection

description: These files are the artifacts of Smart Selection: benchmark_classes.csv: This file shows all Java classes to evaluate Smart Selection. binary.zip: This file contains the binary file that implements smart selection. The detailed introduction can be found in the README.md inside the zip. experimental_data.zip: This file contains the coverage statistics data of the experiments.
DOI: 10.6084/m9.figshare.19609998
title: Self-Reported Side Effects of Different COVID-19 Vaccines Data

description: This is a cross-sectional survey data on side effects of COVID-19 vaccine from Bangladesh.
DOI: 10.6084/m9.figshare.19610001
title: Covariate-assisted Sparse Tensor Completion

description: We aim to provably complete a sparse and highly-missing tensor in the presence of covariate information along tensor modes. Our motivation comes from online advertising where users’ click-through-rates (CTR) on ads over various devices form a CTR tensor that has about 96% missing entries and has many zeros on non-missing entries, which makes the standalone tensor completion method unsatisfactory. Beside the CTR tensor, additional ad features or user characteristics are often available. In this paper, we propose Covariate-assisted Sparse Tensor Completion (COSTCO) to incorporate covariate information for the recovery of the sparse tensor. The key idea is to jointly extract latent components from both the tensor and the covariate matrix to learn a synthetic representation. Theoretically, we derive the error bound for the recovered tensor components and explicitly quantify the improvements on both the reveal probability condition and the tensor recovery accuracy due to covariates. Finally, we apply COSTCO to an advertisement dataset consisting of a CTR tensor and ad covariate matrix, leading to 23% accuracy improvement over the baseline. An important by-product is that ad latent components from COSTCO reveal interesting ad clusters, which are useful for better ad targeting.
DOI: 10.6084/m9.figshare.19610001.v1
title: Covariate-assisted Sparse Tensor Completion

description: We aim to provably complete a sparse and highly-missing tensor in the presence of covariate information along tensor modes. Our motivation comes from online advertising where users’ click-through-rates (CTR) on ads over various devices form a CTR tensor that has about 96% missing entries and has many zeros on non-missing entries, which makes the standalone tensor completion method unsatisfactory. Beside the CTR tensor, additional ad features or user characteristics are often available. In this paper, we propose Covariate-assisted Sparse Tensor Completion (COSTCO) to incorporate covariate information for the recovery of the sparse tensor. The key idea is to jointly extract latent components from both the tensor and the covariate matrix to learn a synthetic representation. Theoretically, we derive the error bound for the recovered tensor components and explicitly quantify the improvements on both the reveal probability condition and the tensor recovery accuracy due to covariates. Finally, we apply COSTCO to an advertisement dataset consisting of a CTR tensor and ad covariate matrix, leading to 23% accuracy improvement over the baseline. An important by-product is that ad latent components from COSTCO reveal interesting ad clusters, which are useful for better ad targeting.
DOI: 10.5281/zenodo.6467646
title: Results for Performance Comparison of kNN and GD

description: Results for the project Performance Comparison of kNN and GD. Contains results for GD and KNN for both fish and employee datasets.
DOI: 10.5281/zenodo.6467645
title: Results for Performance Comparison of kNN and GD

description: Results for the project Performance Comparison of kNN and GD. Contains results for GD and KNN for both fish and employee datasets.
DOI: 10.6084/m9.figshare.19610007
title: PERMANENT DATABASE - Virtual Clinic Timelines and Action Points

description: Dataset - Number of days between referral and Glaucoma medical appointment along with different action points associated to each appointment
DOI: 10.6084/m9.figshare.19610007.v1
title: PERMANENT DATABASE - Virtual Clinic Timelines and Action Points

description: Dataset - Number of days between referral and Glaucoma medical appointment along with different action points associated to each appointment
DOI: 10.5281/zenodo.6467672
title: Drought increased since the mid-20th century in the northern South American Altiplano revealed by a 389-year precipitation record

description: In this study, we develop the first tree-ring based precipitation reconstruction for the northern South American Altiplano back to 1625 CE. We established the significance of our reconstruction by using it to determine that the occurrence rate of extreme dry events together with a shift in mean dry conditions for the late 20th-beginning 21st century is unprecedented in the past 389 years. Our reconstruction provides also valuable information about the ENSO influences in the local precipitation.
description: Archivo assets_1_crnreglags_PCs.xls: Polylepis tarapacana composite tree-ring chronology and the first three principal components used as predictors in the reconstruction model Archivo assets_2_Rec_instr_precipitation_L5O.xls: Instrumental and reconstructed precipitation for the northern South American Altiplano.
DOI: 10.5281/zenodo.6467694
title: Google Scholar search record using GSscraper app: 2022-04-18

description: File generated: Search date, time, timezone: 2022-04-18 16:02:10 (Europe/London) Search parameters: All these words: test None of these words: This exact word or phrase: "" Any these words: Language: en Between these years: and Number of pages exported: 1 Starting from page: 1 Citations included: TRUE Citations included: TRUE Search only in the title: FALSE Authors: Source: GS links generated: https://scholar.google.co.uk/scholar?start=0&q=test&hl=en&as_vis=0&as_sdt=2007
DOI: 10.5281/zenodo.6467693
title: Google Scholar search record using GSscraper app: 2022-04-18

description: File generated: Search date, time, timezone: 2022-04-18 16:02:10 (Europe/London) Search parameters: All these words: test None of these words: This exact word or phrase: "" Any these words: Language: en Between these years: and Number of pages exported: 1 Starting from page: 1 Citations included: TRUE Citations included: TRUE Search only in the title: FALSE Authors: Source: GS links generated: https://scholar.google.co.uk/scholar?start=0&q=test&hl=en&as_vis=0&as_sdt=2007
DOI: 10.6084/m9.figshare.19610028
title: MYC binding in T22-1

description: MYC ChIP of T22-1MYCOE
DOI: 10.6084/m9.figshare.19610028.v1
title: MYC binding in T22-1

description: MYC ChIP of T22-1MYCOE
DOI: 10.5281/zenodo.6457841
title: Measurement report: The importance of biomass burning in light extinction and direct radiative effect of urban aerosol during the COVID-19 lockdown in Xi'an, China

description: To explore the impacts of anthropogenic emissions on aerosol optical properties and direct radiative effect (DRE), a series of real-time measurements was conducted in an urban area of China before and during the lockdown of Coronavirus Disease 2019. The generalized addictive model analysis shows that the light extinction coefficient (<em>b</em><sub>ext</sub>) decreased largely during the lockdown due to the sharp reductions in anthropogenic emissions. Organic aerosol was the largest contributor to <em>b</em><sub>ext</sub> based on the ridge regression analysis. A hybrid environmental receptor model combining with chemical and optical variables shows that <em>b</em><sub>ext</sub> from biomass burning increased in the lockdown due to the undiminished needs of residential cooking and heating in winter. Biomass burning contributed the largest positive effect to aerosol DRE in the atmosphere during the lockdown, highlighting the importance of controlling biomass burning for mitigating climate change in China in the future.
DOI: 10.5281/zenodo.5641876
title: Measurement report: The importance of biomass burning in light extinction and direct radiative effect of urban aerosol during the COVID-19 lockdown in Xi'an, China

description: To explore the impacts of anthropogenic emissions on aerosol optical properties and direct radiative effect (DRE), a series of real-time measurements was conducted in an urban area of China before and during the lockdown of Coronavirus Disease 2019. The generalized addictive model analysis shows that the light extinction coefficient (<em>b</em><sub>ext</sub>) decreased largely during the lockdown due to the sharp reductions in anthropogenic emissions. Organic aerosol was the largest contributor to <em>b</em><sub>ext</sub> based on the ridge regression analysis. A hybrid environmental receptor model combining with chemical and optical variables shows that <em>b</em><sub>ext</sub> from biomass burning increased in the lockdown due to the undiminished needs of residential cooking and heating in winter. Biomass burning contributed the largest positive effect to aerosol DRE in the atmosphere during the lockdown, highlighting the importance of controlling biomass burning for mitigating climate change in China in the future.
DOI: 10.34740/kaggle/dsv/3484254
title: Our World in Data - COVID-19
DOI: 10.6084/m9.figshare.19610085
title: T22-1MYCOEChIP

description: MYC ChIPseq of T22-1 MYCOE
DOI: 10.6084/m9.figshare.19610085.v1
title: T22-1MYCOEChIP

description: MYC ChIPseq of T22-1 MYCOE
DOI: 10.23670/irj.2022.118.6.1
title: Экспозиция склонов пихтовых насаждений

description: Международный научно-исследовательский журнал 4(118) 4.2022, №4(118) (2022)
DOI: 10.23670/irj.2022.118.7.1
title: Толкование понятия «материнство», «влечение», «инстинкт», «привязанность» в различных словарях

description: Международный научно-исследовательский журнал 4(118) 4.2022, №4(118) (2022)
DOI: 10.23670/irj.2022.118.6.2
title: Характеристика древостоя пихтовых насаждений

description: Международный научно-исследовательский журнал 4(118) 4.2022, №4(118) (2022)
DOI: 10.23670/irj.2022.118.6.3
title: Средние показатели различных типов леса

description: Международный научно-исследовательский журнал 4(118) 4.2022, №4(118) (2022)
DOI: 10.23670/irj.2022.118.6.4
title: Сравнительный анализ по критерию Стьюдента типов леса пихтовых насаждений

description: Международный научно-исследовательский журнал 4(118) 4.2022, №4(118) (2022)
DOI: 10.23670/irj.2022.118.1.1
title: Table 1 – The Effect of inoculation by bacteria B. subtilis on the frequency (F%) and intensity of mycorrhization (M%) of plant roots in the conditions of soil contamination with cadmium

description: Международный научно-исследовательский журнал 4(118) 4.2022, №4(118) (2022)
DOI: 10.25573/data.16860133
title: Phylogeny of Arctiinae moths on Barro Colorado Island, Panama

description: Phylogeny of Arctiinae moths in Barro Colorado Island, Panama. <br> Six files: <br> RAxML tree <br> Text file <br> README is an explanation of the data <br> TRAITTRENDDATA96April17 - is the data used to analyze relationships with traits and trends.<br> TRAITTRENDDATA93PhyloApril17 - is the same as above but without three species. This was because we used phylogenies in our models, and we did not have genetic data for three species.<br> FINALTTANALApril9 - This is the code for the analysis to look at relationships between trends and traits.
DOI: 10.25573/data.16860133.v2
title: Phylogeny of Arctiinae moths on Barro Colorado Island, Panama

description: Phylogeny of Arctiinae moths in Barro Colorado Island, Panama. <br> Six files: <br> RAxML tree <br> Text file <br> README is an explanation of the data <br> TRAITTRENDDATA96April17 - is the data used to analyze relationships with traits and trends.<br> TRAITTRENDDATA93PhyloApril17 - is the same as above but without three species. This was because we used phylogenies in our models, and we did not have genetic data for three species.<br> FINALTTANALApril9 - This is the code for the analysis to look at relationships between trends and traits.
DOI: 10.25573/data.16860133.v1
title: Phylogeny of Arctiinae moths on Barro Colorado Island, Panama

description: Phylogeny of Arctiinae moths in Barro Colorado Island, Panama.<br>Two files: RAxML tree and text file
DOI: 10.6084/m9.figshare.19610109
title: Dosing regimen details

description: Dosing regimen details for 2015 PDXE Nature Genetics Gao et al manuscript
DOI: 10.5281/zenodo.6466615
title: A subset dataset of COVID-19 Blood Atlas for CellDrift input

description: A subset dataset of COVID-19 Blood Atlas for CellDrift input. The original data can be found in this paper: https://doi.org/10.1016/j.cell.2022.01.012. We did subsetting on the data and extracted 116,124 cells covering 8 disease conditions, 6 PBMC cell types and a series of time points (days since onset) ranging from day 0 to day 25.
description: {"references": ["Ahern, David J., et al. \"A blood atlas of COVID-19 defines hallmarks of disease severity and specificity.\" MedRxiv (2021).", "Kang, Jin., et al. \"CellDrift: Inferring Perturbation Responses in Temporally-Sampled Single Cell Data\". BioRxiv(2022)."]}
DOI: 10.5281/zenodo.6466614
title: A subset dataset of COVID-19 Blood Atlas for CellDrift input

description: A subset dataset of COVID-19 Blood Atlas for CellDrift input. The original data can be found in this paper: https://doi.org/10.1016/j.cell.2022.01.012. We did subsetting on the data and extracted 116,124 cells covering 8 disease conditions, 6 PBMC cell types and a series of time points (days since onset) ranging from day 0 to day 25.
description: {"references": ["Ahern, David J., et al. \"A blood atlas of COVID-19 defines hallmarks of disease severity and specificity.\" MedRxiv (2021).", "Kang, Jin., et al. \"CellDrift: Inferring Perturbation Responses in Temporally-Sampled Single Cell Data\". BioRxiv(2022)."]}
DOI: 10.25386/genetics.19394693
title: Supplemental Material for Montes et al., 2022

description: Supplemental Data Files 1 through 18.
DOI: 10.25386/genetics.19394693.v1
title: Supplemental Material for Montes et al., 2022

description: Supplemental Data Files 1 through 18.
DOI: 10.6084/m9.figshare.19610082
title: VCF File with Site Metadata

description: A VCF file of 63,882 SNPs used in a study of walleye in Lake Winnipeg, Lake Manitoba, and Cedar Bluff Reservoir.
DOI: 10.6084/m9.figshare.19443161
title: Final list of indels

description: The final set of insertions/deletions (indels) provided in VCF format in <em>P. biaurelia</em>, <em>P. sexaurelia</em>, <em>P. tetraurelia</em>, and <em>P. caudatum.</em> <br> These files were used to perform analyses in the manuscript - "<strong>A population-genetic lens into the process of gene loss following whole-genome duplication"</strong>.
DOI: 10.6084/m9.figshare.19443452
title: List of genes with LoF Variants

description: Here is the list of all genes in <em>P. tetraurelia</em>, <em>P. biaurelia</em>, <em>P. sexaurelia</em>, and <em>P. caudatum</em>, for which it is indicated whether they harbor a segregating loss-of-function variant and of which type. <br> These files were generated when performing analyses in the manuscript - "<strong>A population-genetic lens into the process of gene loss following whole-genome duplication"</strong>.
DOI: 10.6084/m9.figshare.19443452.v1
title: List of genes with LoF Variants

description: Here is the list of all genes in <em>P. tetraurelia</em>, <em>P. biaurelia</em>, <em>P. sexaurelia</em>, and <em>P. caudatum</em>, for which it is indicated whether they harbor a segregating loss-of-function variant and of which type. <br> These files were generated when performing analyses in the manuscript - "<strong>A population-genetic lens into the process of gene loss following whole-genome duplication"</strong>.
DOI: 10.6084/m9.figshare.19443635
title: Genes sequences (in fasta) of all strains

description: Here are the DNA sequences (in FASTA format) of all genes present in all strains of the following species - P. tetraurelia, P. biaurelia, P. sexaurelia, P. caudatum, and P. multimicronucleatum. <br> These files were generated when performing analyses in the manuscript - "<strong>A population-genetic lens into the process of gene loss following whole-genome duplication"</strong>.