cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19291315.v1
title: Prevalence of the Cusp of Carabelli: a systematic review and meta-analysis

description: The Cusp of Carabelli (CoC) is the most commonly occurring dental morphological trait. To provide a pancontinental overview on the prevalence of the CoC in primary maxillary second molars and permanent maxillary molars. An electronic search was conducted on ten databases without year restrictions up to July 2020. All cross-sectional studies published in the English language reporting prevalence estimate of CoC were included. A modified version of the Newcastle–Ottawa scale was used to assess study quality. Meta-analyses were conducted for studies that reported data using Dahlberg and ASUDAS classification across continents. For qualitative synthesis, 142 studies (45,327 participants) were included, of which 130 studies had moderate risk of bias. Random effects meta-analysis was performed for 41 studies. For prevalence of CoC in primary maxillary second molars, the estimate was 72% (2,829 participants). The overall percentage attained for permanent maxillary molars was 59% (16,607 participants) for first molars; 8% (2,277 participants) for second molars; and 10% (89 participants) for third molars. Subgroup analysis revealed the European continent reported the highest prevalence in permanent maxillary first and second molars. Primary maxillary second molars recorded highest prevalence of CoC followed by permanent maxillary first, third and second molars. Pancontinental studies with regard to primary maxillary second molars are warranted.
DOI: 10.6084/m9.figshare.19014257.v1
title: Gene flow and phylogenetic analyses of paternal lineages in the Yi-Luo valley using Y-STR genetic markers

description: The Yi-Luo valley witnessed the most significant socio-political transformation of China and was deeply implicated in several enormous migrations of the Han population. However, little has been done to clarify its paternal genetic variation or phylogenetic relationship, particularly concerning the genetic evidence of their migrations. This study aims to uncover the population genetic characteristics in the Yi-Luo valley and provide genetic evidence for its people’s migrations. Seventeen Y-STR loci included in the AmpFlSTR<sup>®</sup>Yfiler™ were typed in 2,314 individuals from seven different regions along the Yi-Luo valley. A multidimensional scaling plot and neighbor-joining tree were constructed for nationwide genetic comparisons. Y-haplogroup frequencies and migration rates were estimated among the studied populations. Gene flows were detected by different migration models and directions. The predicted Y-haplogroups demonstrated the predominance of O2a2. Genetic affinities were observed among Han, Hakka, Danmin, and Bai. Anhui was shown to be the most crucial transfer spot for the Hakkas when they moved out of the Central Plains to South China. This study reveals the genetic landscape of paternal lineages living in the Yi-Luo valley and enriches our understanding of the great migration in Chinese history.
DOI: 10.6084/m9.figshare.19291315
title: Prevalence of the Cusp of Carabelli: a systematic review and meta-analysis

description: The Cusp of Carabelli (CoC) is the most commonly occurring dental morphological trait. To provide a pancontinental overview on the prevalence of the CoC in primary maxillary second molars and permanent maxillary molars. An electronic search was conducted on ten databases without year restrictions up to July 2020. All cross-sectional studies published in the English language reporting prevalence estimate of CoC were included. A modified version of the Newcastle–Ottawa scale was used to assess study quality. Meta-analyses were conducted for studies that reported data using Dahlberg and ASUDAS classification across continents. For qualitative synthesis, 142 studies (45,327 participants) were included, of which 130 studies had moderate risk of bias. Random effects meta-analysis was performed for 41 studies. For prevalence of CoC in primary maxillary second molars, the estimate was 72% (2,829 participants). The overall percentage attained for permanent maxillary molars was 59% (16,607 participants) for first molars; 8% (2,277 participants) for second molars; and 10% (89 participants) for third molars. Subgroup analysis revealed the European continent reported the highest prevalence in permanent maxillary first and second molars. Primary maxillary second molars recorded highest prevalence of CoC followed by permanent maxillary first, third and second molars. Pancontinental studies with regard to primary maxillary second molars are warranted.
DOI: 10.5281/zenodo.6415280
title: Publication times for COVID-19 articles and associated preprints

description: These are two datasets of COVID-19 peer-reviewed journal and review articles and associated with them medRxiv and bioRxiv preprints. Datasets contain DOI of preprint and its published version, and publication times associated with each step: pre-submission time, review time, production stage time, and the elapsed time. One dataset was collected on 4 May 2021 and it includes a total of 4,031 deduplicated journal article-preprint pairs. Another dataset was collected on 19 October 2020 and it includes 1,099 journal article-preprint pairs. These files are associated with the submission of a manuscript "Publication Practices during the COVID-19 Pandemic: Expedited publishing or simply an early bird effect?" to the journal Learned Publishing in 2022.
DOI: 10.5281/zenodo.6415279
title: Publication times for COVID-19 articles and associated preprints

description: These are two datasets of COVID-19 peer-reviewed journal and review articles and associated with them medRxiv and bioRxiv preprints. Datasets contain DOI of preprint and its published version, and publication times associated with each step: pre-submission time, review time, production stage time, and the elapsed time. One dataset was collected on 4 May 2021 and it includes a total of 4,031 deduplicated journal article-preprint pairs. Another dataset was collected on 19 October 2020 and it includes 1,099 journal article-preprint pairs. These files are associated with the submission of a manuscript "Publication Practices during the COVID-19 Pandemic: Expedited publishing or simply an early bird effect?" to the journal Learned Publishing in 2022.
DOI: 10.6084/m9.figshare.19520128
title: New Model

description: This is a description
DOI: 10.6084/m9.figshare.19520128.v1
title: New Model

description: This is a description
DOI: 10.6084/m9.figshare.19520131
title: New Model

description: This is a description
DOI: 10.6084/m9.figshare.19520131.v1
title: New Model

description: This is a description
DOI: 10.6084/m9.figshare.19520134
title: New Model

description: This is a description
DOI: 10.6084/m9.figshare.19520134.v1
title: New Model

description: This is a description
DOI: 10.5281/zenodo.6415386
title: Readme for the Dataset of "Automated Identification of Uniqueness in JUnit Tests"

description: This is the README for the dataset of journal publication "Automated Identification of Uniqueness in JUnit Tests". Please read through this before using the dataset.
DOI: 10.5281/zenodo.6415385
title: Readme for the Dataset of "Automated Identification of Uniqueness in JUnit Tests"

description: This is the README for the dataset of journal publication "Automated Identification of Uniqueness in JUnit Tests". Please read through this before using the dataset.
DOI: 10.6084/m9.figshare.19520143.v1
title: March 2022 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>March, 2022</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.19520143
title: March 2022 Covid-19 Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at <b>least one vaccine-related word</b> (i.e., words that start with vaccin*, vacin*, or vax*) collected in <b>March, 2022</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.5281/zenodo.6415420
title: Identifying lumbar fragility fractures: a comparison of traditional machine learning and Deep Learning

description: The class-0 folder contains ROIs belonging to a non-fracture group. The Class-1 folder contains ROIs belonging to the fractured group Features folder.
DOI: 10.5281/zenodo.6415419
title: Identifying lumbar fragility fractures: a comparison of traditional machine learning and Deep Learning

description: The class-0 folder contains ROIs belonging to a non-fracture group. The Class-1 folder contains ROIs belonging to the fractured group Features folder.
DOI: 10.25386/genetics.19089992
title: Supplemental Files for Velásquez-Zapata et al., 2022

description: <b>SUPPLEMENTAL FILES</b> S1 Figure. Core and unique DM GO terms associated with DE genes by timepoint. S2 Figure. Time-course expression patterns of DM DE genes by type of response. S3 Figure. Y2H validation of interactions for the CC+NB domains of <i>Mla</i> alleles, orthologs and outgroup NLRs. S1 Data. Predicted barley interactome (HvInt) and experimentally validated Arabidopsis interactome (AtInt). S2 Data. Node properties of HvInt and enrichment of essential proteins across clusters. S3 Data. Disease modules and DM DE genes at <i>Bgh</i> penetration and haustorial development. S4 Data. Resistant and susceptible interactomes. S5 Data. MLA interactome (MLAInt). S1 Text. Bait and prey sequences used for Y2H binary validation among <i>Mla</i> alleles, orthologs, and outgroup NLRs.
DOI: 10.25386/genetics.19089992.v1
title: Supplemental Files for Velásquez-Zapata et al., 2022

description: <b>SUPPLEMENTAL FILES</b> S1 Figure. Core and unique DM GO terms associated with DE genes by timepoint. S2 Figure. Time-course expression patterns of DM DE genes by type of response. S3 Figure. Y2H validation of interactions for the CC+NB domains of <i>Mla</i> alleles, orthologs and outgroup NLRs. S1 Data. Predicted barley interactome (HvInt) and experimentally validated Arabidopsis interactome (AtInt). S2 Data. Node properties of HvInt and enrichment of essential proteins across clusters. S3 Data. Disease modules and DM DE genes at <i>Bgh</i> penetration and haustorial development. S4 Data. Resistant and susceptible interactomes. S5 Data. MLA interactome (MLAInt). S1 Text. Bait and prey sequences used for Y2H binary validation among <i>Mla</i> alleles, orthologs, and outgroup NLRs.
DOI: 10.5281/zenodo.6415362
title: Towards geomorphometry of plains - country level unsupervised classification of low-relief areas (Poland)

description: Catalog "input_rasters" contains ten downsampled geomorphometric variables with 500 m resolution. There are serialized models in .rds format including Gaussian mixture model (<em>GMM_model.rds</em>) and data transformator (<em>transformator.rds</em>) in "models" catalog. The mclust package is required to load the GMM model, and the recipes package is required for the transformator. The map with geomorphological units is saved in the <em>geomorphometry_map.tif</em> file. The map with the calculated uncertainty of these units is saved in the <em>uncertainty_map.tif</em> file. In addition, a separate .xml file with class names is included. All rasters are in the ETRS89 / Poland CS92 (EPSG:2180) coordinate system and GeoTIFF format. The code to reproduce the results can be found in the GitHub repository: https://github.com/kadyb/geomorph_clustering
description: This dataset is the result of research funded by the National Science Centre, Poland 2021/41/N/ST10/00347.
DOI: 10.5281/zenodo.6415361
title: Towards geomorphometry of plains - country level unsupervised classification of low-relief areas (Poland)

description: Catalog "input_rasters" contains ten downsampled geomorphometric variables with 500 m resolution. There are serialized models in .rds format including Gaussian mixture model (<em>GMM_model.rds</em>) and data transformator (<em>transformator.rds</em>) in "models" catalog. The mclust package is required to load the GMM model, and the recipes package is required for the transformator. The map with geomorphological units is saved in the <em>geomorphometry_map.tif</em> file. The map with the calculated uncertainty of these units is saved in the <em>uncertainty_map.tif</em> file. In addition, a separate .xml file with class names is included. All rasters are in the ETRS89 / Poland CS92 (EPSG:2180) coordinate system and GeoTIFF format. The code to reproduce the results can be found in the GitHub repository: https://github.com/kadyb/geomorph_clustering
description: This dataset is the result of research funded by the National Science Centre, Poland 2021/41/N/ST10/00347.
DOI: 10.6084/m9.figshare.12482345.v11
title: Arsenic, Bacteria, Lead, Nitrate, Chloride & Total Hardness Data by Section and/or Town-Range, Center for Watershed Science and Education, Univ of Wisconsin-Stevens Point/Univ of Wisconsin-Madison Division of Extension, Stevens Point, WI

description: Arsenic, Bacteria, Lead, Nitrate, Chloride and Total Hardness data for private wells collected in the Wisconsin area. The data provides the average of nitrate(mg/L), chloride (mg/L), total hardness (mg/L) per Section and/or Town-Range in the state of Wisconsin. Center for Watershed Science and Education, Univ of Wisconsin-Stevens Point/Univ of Wisconsin-Madison Division of Extension, Stevens Point, WI.
DOI: 10.5066/p9b8i8jk
title: Colorado River Delta Project: A compilation of vegetation indices, phenology assessment metrics, and estimates of evapotranspiration for circular bird plots in the Colorado River delta between 2000-2020 (ver. 1.0)

description: These data were compiled to understand the effects of riparian vegetation health on local abundance and species diversity of land birds. The primary objective of our study was to to determine the effects of riparian restoration on birds in the Colorado River delta. These tabular data represent vegetation indices and evapotranspiration (ET) data at varying spatial scales that correspond to avian use circles of 100 to 2000 meters. Three vegetation reflectance indices (VIs): NDVI, EVI, and EVI2 were obtained from Landsat imagery with a biweekly temporal frequency, and covering the entire period of bird surveys (2002-2020). The Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) and two-band EVI, named EVI2, were produced as tabular data sets. ET was then produced using EVI and EVI2. Also, ET was calculated from EVI2 using an empirical equation (Nagler et al., 2013). Data acquisition and processing were performed at the University of Arizona VIP lab (vip.arizona.edu) using their large Linux cluster of computing and storage resources.
DOI: 10.5517/ccdc.csd.cc28q0np
title: CCDC 2106532: Experimental Crystal Structure Determination

description: Related Article: Jie Ren, Chao Pi, Xiuling Cui, Yangjie Wu|2022|Green Chemistry|24|3017|doi:10.1039/D1GC04825B
DOI: 10.5517/ccdc.csd.cc28ts52
title: CCDC 2110144: Experimental Crystal Structure Determination

description: Related Article: Xin Dai, Xian-Yi Jin, Rui-Han Gao, Qing-Mei Ge, Kai Chen, Nan Jiang, Hang Cong, Zhu Tao, Mao Liu|2022|New J.Chem.|46|6738|doi:10.1039/D2NJ00036A
DOI: 10.5517/ccdc.csd.cc297gbc
title: CCDC 2122332: Experimental Crystal Structure Determination

description: Related Article: Wei Xie, Yuan Yuan, Tian-Yu Zhou, Jia-Jun Wang, Zhong-Bin Nie, Yan-Hong Xu, Zhong-Min Su|2022|J.Solid State Chem.|310|123093|doi:10.1016/j.jssc.2022.123093
DOI: 10.5517/ccdc.csd.cc29cpky
title: CCDC 2126400: Experimental Crystal Structure Determination

description: Related Article: Wei Yang, Wen Li, Baoqiu Yu, Chao Liu, Hailong Wang|2022|Inorg.Chem.Commun.|139|109396|doi:10.1016/j.inoche.2022.109396
DOI: 10.5517/ccdc.csd.cc29cplz
title: CCDC 2126401: Experimental Crystal Structure Determination

description: Related Article: Wei Yang, Wen Li, Baoqiu Yu, Chao Liu, Hailong Wang|2022|Inorg.Chem.Commun.|139|109396|doi:10.1016/j.inoche.2022.109396
DOI: 10.5517/ccdc.csd.cc29lwh9
title: CCDC 2133311: Experimental Crystal Structure Determination

description: Related Article: Ting-wei Wang, Lu Zhang, Zhen-xin Yi, Wen-li Cao, Wen-shuai Dong, Shun-guan Zhu, Jian-guo Zhang|2022|CrystEngComm|24|2679|doi:10.1039/D2CE00182A
DOI: 10.5517/ccdc.csd.cc29wkpg
title: CCDC 2141656: Experimental Crystal Structure Determination

description: Related Article: Marie-Christin Barth, Stefanie Lange, Norman Häfner, Nico Ueberschaar, Helmar Görls, Ingo B. Runnebaum, Wolfgang Weigand|2022|Dalton Trans.|51|5567|doi:10.1039/D2DT00318J
DOI: 10.5517/ccdc.csd.cc28r08b
title: CCDC 2107481: Experimental Crystal Structure Determination

description: Related Article: Pameli Ghosh, Tanmoy Maity, Nilufa Khatun, Rakesh Debnath, Subratanath Koner|2022|Polyhedron|219|115789|doi:10.1016/j.poly.2022.115789
DOI: 10.5281/zenodo.6415457
title: Data for paper

description: Data tarball (without UniRef datasets) for paper.
DOI: 10.6084/m9.figshare.18095690.v2
title: MD simulation trajectories used in the paper "ABCA1 is an extracellular phospholipid translocase"

description: MD simulation trajectories used in the paper "ABCA1 is an extracellular phospholipid translocase"<br><b>1. 2 us / 10 us coarse-grained MD simulation files of ABCA1 (WT, K568A, 11CmutA)</b>, (abca1_cgmd.zip)<br> 1-1. wt.gro 1-2. wt-set1-2us.trr 1-3. wt-set2-2us.trr 1-4. wt-set3-10us.trr<br> 1-5. k568A.gro 1-6. k568A-set1-2us.trr 1-7. k568A-set2-10us.trr 1-8. k568A-set3-2us.trr <br> 1-9. 11CmutA.gro 1-10. 11CmutA_set1_2us.trr 1-11. 11CmutA_set2_10us.trr 1-12. 11CmutA_set3_2us.trr <br> 1-13. readme.txt <br><b>2. 30 ns steered molecular dynamic simulation file</b> (abca1_smd.zip)<br><br> 2-1. smd.psf 2-2. 30ns.dcd 2-3. readme.txt
DOI: 10.34740/kaggle/dsv/3412576
title: Covid-19 in Singapore : Latest Detailed Data
DOI: 10.5281/zenodo.6415463
title: NewsCom-NEG Corpus

description: The NewsCom corpus consists of 2955 comments posted in response to 18 different news articles obtained from online Spanish newspapers from August 2017 to May 2019. These news articles cover nine topics (two articles per topic): immigration, politics, technology, terrorism, economy, society, religion, refugees, and real estate. The NewsCom corpus contains 2965 negative structures with their corresponding negation marker, scope, and focus. It is a valuable resource that can be used both for the training and evaluation of systems that aim to automatically detect the scope and focus of negation and for the linguistic analysis of negation grounded in real data.
description: {"references": ["Taul\u00e9, M., Nofre, M., Gonz\u00e1lez, M., & Mart\u00ed, M. (2021). Focus of negation: Its identification in Spanish. Natural Language Engineering, 27(2), 131-152. doi:10.1017/S1351324920000388"]}
DOI: 10.5281/zenodo.6415462
title: NewsCom-NEG Corpus

description: The NewsCom corpus consists of 2955 comments posted in response to 18 different news articles obtained from online Spanish newspapers from August 2017 to May 2019. These news articles cover nine topics (two articles per topic): immigration, politics, technology, terrorism, economy, society, religion, refugees, and real estate. The NewsCom corpus contains 2965 negative structures with their corresponding negation marker, scope, and focus. It is a valuable resource that can be used both for the training and evaluation of systems that aim to automatically detect the scope and focus of negation and for the linguistic analysis of negation grounded in real data.
description: {"references": ["Taul\u00e9, M., Nofre, M., Gonz\u00e1lez, M., & Mart\u00ed, M. (2021). Focus of negation: Its identification in Spanish. Natural Language Engineering, 27(2), 131-152. doi:10.1017/S1351324920000388"]}
DOI: 10.5517/ccdc.csd.cc28j9bg
title: CCDC 2101035: Experimental Crystal Structure Determination

description: Related Article: Yi-Man Wang, Jinmeng Cai, Qian-You Wang, Yao Li, Zhen Han, Si Li, Chun-Hua Gong, Shan Wang, Shuang-Quan Zang, Thomas C. W. Mak|2022|Angew.Chem.,Int.Ed.|61|e202114538|doi:10.1002/anie.202114538
DOI: 10.5517/ccdc.csd.cc28jjdr
title: CCDC 2101254: Experimental Crystal Structure Determination

description: Related Article: Yi-Man Wang, Jinmeng Cai, Qian-You Wang, Yao Li, Zhen Han, Si Li, Chun-Hua Gong, Shan Wang, Shuang-Quan Zang, Thomas C. W. Mak|2022|Angew.Chem.,Int.Ed.|61|e202114538|doi:10.1002/anie.202114538
DOI: 10.5517/ccdc.csd.cc29g0jb
title: CCDC 2128631: Experimental Crystal Structure Determination

description: Related Article: Shagufi Naz Ansari|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc29fzc3
title: CCDC 2128595: Experimental Crystal Structure Determination

description: Related Article: Jessica Pacifico and Helen Stoeckli-Evans|2021|CSD Communication|||
DOI: 10.18739/a2jd08
title: Barrow Atqasuk ITEX Climate 1998-2008

description: These files contain data representing the climate of ITEX sites in Barrow and Atqasuk in a text tab delimited format. The data presented are hourly screen height temperature, precipitation, wind speed near the ground, and light intensity at Barrow and Atqasuk, Alaska.
DOI: 10.18739/a2vh5cj92
title: Climate of the International Tundra Experiment (ITEX) sites in Barrow and Atqasuk, Alaska, 1998-2014

description: These files contain data representing the climate of the International Tundra Experiment (ITEX) sites in Barrow and Atqasuk in a text tab delimited format. The data presented are hourly screen height temperature, precipitation, wind speed near the ground, and light intensity at Barrow and Atqasuk, Alaska.
DOI: 10.18739/a2np33
title: Climatic measures in the International Tundra Experiment (ITEX) sites at Barrow and Atqasuk, Alaska, 2013-2016

description: These files contain data representing the climate of the International Tundra Experiment (ITEX) sites in Barrow and Atqasuk in a CSV format. The data presented are hourly screen height temperature, precipitation, wind speed near the ground, and light intensity at Barrow and Atqasuk, Alaska.