cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14490659
title: Additional file 2 of Identification of key methylation differentially expressed genes in posterior fossa ependymoma based on epigenomic and transcriptome analysis

description: Additional file 2: Table S2.The list of DMGs between the two EPN-PF subtypes
DOI: 10.6084/m9.figshare.14490662.v1
title: Additional file 3 of Identification of key methylation differentially expressed genes in posterior fossa ependymoma based on epigenomic and transcriptome analysis

description: Additional file 3: Table S3. The list of methylated-related highly expressed genes
DOI: 10.6084/m9.figshare.14490665
title: Additional file 4 of Identification of key methylation differentially expressed genes in posterior fossa ependymoma based on epigenomic and transcriptome analysis

description: Additional file 4: Table S4. The list of methylated-related lowly expressed genes
DOI: 10.6084/m9.figshare.14490665.v1
title: Additional file 4 of Identification of key methylation differentially expressed genes in posterior fossa ependymoma based on epigenomic and transcriptome analysis

description: Additional file 4: Table S4. The list of methylated-related lowly expressed genes
DOI: 10.6084/m9.figshare.14490668
title: Additional file 5 of Identification of key methylation differentially expressed genes in posterior fossa ependymoma based on epigenomic and transcriptome analysis

description: Additional file 5: Table S5. The list of 180 hub genes in the blue module
DOI: 10.6084/m9.figshare.14490671
title: Additional file 6 of Identification of key methylation differentially expressed genes in posterior fossa ependymoma based on epigenomic and transcriptome analysis

description: Additional file 6: Table S6. The gene list and pathways related to each of the 5 hub genes
DOI: 10.6084/m9.figshare.14490668.v1
title: Additional file 5 of Identification of key methylation differentially expressed genes in posterior fossa ependymoma based on epigenomic and transcriptome analysis

description: Additional file 5: Table S5. The list of 180 hub genes in the blue module
DOI: 10.6084/m9.figshare.14490671.v1
title: Additional file 6 of Identification of key methylation differentially expressed genes in posterior fossa ependymoma based on epigenomic and transcriptome analysis

description: Additional file 6: Table S6. The gene list and pathways related to each of the 5 hub genes
DOI: 10.5517/ccdc.csd.cc23xtzv
title: CCDC 1964128: Experimental Crystal Structure Determination

description: Related Article: Dimitrije Mara, Anna M. Kaczmarek, Flavia Artizzu, Anatolii Abalymov, Andre G. Skirtach, Kristof Van Hecke, Rik Van Deun|2021|Chem.-Eur.J.|27|6479|doi:10.1002/chem.202004951
DOI: 10.5517/ccdc.csd.cc23xv0x
title: CCDC 1964129: Experimental Crystal Structure Determination

description: Related Article: Dimitrije Mara, Anna M. Kaczmarek, Flavia Artizzu, Anatolii Abalymov, Andre G. Skirtach, Kristof Van Hecke, Rik Van Deun|2021|Chem.-Eur.J.|27|6479|doi:10.1002/chem.202004951
DOI: 10.5517/ccdc.csd.cc23xv1y
title: CCDC 1964130: Experimental Crystal Structure Determination

description: Related Article: Dimitrije Mara, Anna M. Kaczmarek, Flavia Artizzu, Anatolii Abalymov, Andre G. Skirtach, Kristof Van Hecke, Rik Van Deun|2021|Chem.-Eur.J.|27|6479|doi:10.1002/chem.202004951
DOI: 10.5517/ccdc.csd.cc23xv2z
title: CCDC 1964131: Experimental Crystal Structure Determination

description: Related Article: Dimitrije Mara, Anna M. Kaczmarek, Flavia Artizzu, Anatolii Abalymov, Andre G. Skirtach, Kristof Van Hecke, Rik Van Deun|2021|Chem.-Eur.J.|27|6479|doi:10.1002/chem.202004951
DOI: 10.5517/ccdc.csd.cc23xv30
title: CCDC 1964132: Experimental Crystal Structure Determination

description: Related Article: Dimitrije Mara, Anna M. Kaczmarek, Flavia Artizzu, Anatolii Abalymov, Andre G. Skirtach, Kristof Van Hecke, Rik Van Deun|2021|Chem.-Eur.J.|27|6479|doi:10.1002/chem.202004951
DOI: 10.5517/ccdc.csd.cc269mbh
title: CCDC 2035036: Experimental Crystal Structure Determination

description: Related Article: Benjamin F. Hohlfeld, Burkhard Gitter, Christopher J. Kingsbury, Keith J. Flanagan, Dorika Steen, Gerhard D. Wieland, Nora Kulak, Mathias O. Senge, Arno Wiehe|2021|Chem.-Eur.J.|27|6440|doi:10.1002/chem.202004776
DOI: 10.5517/ccdc.csd.cc269mdk
title: CCDC 2035038: Experimental Crystal Structure Determination

description: Related Article: Benjamin F. Hohlfeld, Burkhard Gitter, Christopher J. Kingsbury, Keith J. Flanagan, Dorika Steen, Gerhard D. Wieland, Nora Kulak, Mathias O. Senge, Arno Wiehe|2021|Chem.-Eur.J.|27|6440|doi:10.1002/chem.202004776
DOI: 10.5517/ccdc.csd.cc26ftvb
title: CCDC 2039082: Experimental Crystal Structure Determination

description: Related Article: Fabian A. Watt, Lukas Burkhardt, Roland Schoch, Stefan Mitzinger, Matthias Bauer, Florian Weigend, Jose M. Goicoechea, Frank Tambornino, Stephan Hohloch|2021|Angew.Chem.,Int.Ed.|60|9534|doi:10.1002/anie.202100559
DOI: 10.5517/ccdc.csd.cc26ftyf
title: CCDC 2039085: Experimental Crystal Structure Determination

description: Related Article: Fabian A. Watt, Lukas Burkhardt, Roland Schoch, Stefan Mitzinger, Matthias Bauer, Florian Weigend, Jose M. Goicoechea, Frank Tambornino, Stephan Hohloch|2021|Angew.Chem.,Int.Ed.|60|9534|doi:10.1002/anie.202100559
DOI: 10.5517/ccdc.csd.cc26hl0b
title: CCDC 2040761: Experimental Crystal Structure Determination

description: Related Article: Xiangjin Kong, Pan-Pan Zhou, Yao Wang|2021|Angew.Chem.,Int.Ed.|60|9395|doi:10.1002/anie.202101140
DOI: 10.5517/ccdc.csd.cc26hl1c
title: CCDC 2040762: Experimental Crystal Structure Determination

description: Related Article: Xiangjin Kong, Pan-Pan Zhou, Yao Wang|2021|Angew.Chem.,Int.Ed.|60|9395|doi:10.1002/anie.202101140
DOI: 10.5517/ccdc.csd.cc26hl5h
title: CCDC 2040766: Experimental Crystal Structure Determination

description: Related Article: Xiangjin Kong, Pan-Pan Zhou, Yao Wang|2021|Angew.Chem.,Int.Ed.|60|9395|doi:10.1002/anie.202101140
DOI: 10.5517/ccdc.csd.cc26hl9m
title: CCDC 2040770: Experimental Crystal Structure Determination

description: Related Article: Xiangjin Kong, Pan-Pan Zhou, Yao Wang|2021|Angew.Chem.,Int.Ed.|60|9395|doi:10.1002/anie.202101140
DOI: 10.5517/ccdc.csd.cc26rcly
title: CCDC 2048250: Experimental Crystal Structure Determination

description: Related Article: Wei-Jian Li, Qingyi Gu, Xu-Qing Wang, Dan-Yang Zhang, Yu-Te Wang, Xiao He, Wei Wang, Hai-Bo Yang|2021|Angew.Chem.,Int.Ed.|60|9507|doi:10.1002/anie.202100934
DOI: 10.5517/ccdc.csd.cc2727h2
title: CCDC 2057733: Experimental Crystal Structure Determination

description: Related Article: Koffi Sénam Etsè, Guillermo Zaragoza, Kodjo Djidjolé Etse|2021|J.Mol.Struct.|1238|130435|doi:10.1016/j.molstruc.2021.130435
DOI: 10.5517/ccdc.csd.cc2727j3
title: CCDC 2057734: Experimental Crystal Structure Determination

description: Related Article: Koffi Sénam Etsè, Guillermo Zaragoza, Kodjo Djidjolé Etse|2021|J.Mol.Struct.|1238|130435|doi:10.1016/j.molstruc.2021.130435
DOI: 10.5281/zenodo.4720668
title: Comparative and phylogenomic analysis of nuclear and organelle genes in cryptic Coelastrella vacuolata MACC-549 green algae

description: Phylogenetic analysis was carried out by using 3 nucleotide (18S, ITS2 and <em>tufA</em>) and 7 protein sequences (PetA, PsbD, PsaC, PsbB, RbcL, AtpA, and PsaB proteins coded on the chloroplast genome). The bulk of all the sequences used were downloaded from a previous study - Wang et. al. 2019. Multiple alignments of separate loci were created by using the L-INS-i Iterative refinement method in MAFFT v.7.427. The multiple alignments were manually curated to correct false base mismatches introduced by the automatic multiple alignment algorithm. We also provide these multiple sequence alignments herewith for anyone to use with their own dataset to phylogenetically classify members within Sphaeropleales. After alignment, highly variable and non-informative sites from the alignments were removed using GBlocks (v.91b). Minimum number of sequences for a conserved position and for a flank position were set to 50% of the number of sequences plus one, maximum number of contiguous non-conserved positions was set to 20, minimum length of a block was set to 2 and we allowed a gap position in all sequences. The 3 nucleotide sequences were concatenated into a single aligned sequence, referred to as the “Conventional loci alignment”. We also assembled a 10 loci alignment by concatenating the 3 nucleotide and 7 protein sequences into one alignment. Overall, two phylogenetic trees were inferred by iqTree2. These trees are also provided herewith for those who would like to try it out. FILE DESCRIPTIONS: The files ending in *.fasta (sequence_18s_v2_aligned.fasta, sequence_fixedITS2_newnames_aligned_edited.fasta and sequence_tufA_v2_aligned.fasta) all contain individual alignments for the 3 nucleotide sequences. All files ending in *.seqs (atpA_aligned.seqs, petA_aligned.seqs, psaB_aligned.seqs, psaC_aligned.seqs, psbB_aligned.seqs, psbD_aligned.seqs, rbcL_aligned.seqs) contain individual alignments for the 7 protein sequences. The nucleotide sequences are concatenated within Traditional_tree_concatenated_v2.fas and the protein sequences are concatenated in concatenated_proteins_v2.faa. The mixed_loci.tre file is the tree file produced by mixing both the nucleotide and protein sequence. The traditional_loci.tre file is the tree file produced with only the three nucleotide sequences. Finally, the nexus file required for iqTree2 runs are provided in partitions_mixed.txt (use with concatenated_proteins_v2.faa) and partitions_traditional_tree.txt (use with Traditional_tree_concatenated_v2.fas) We would recommend any who would like to use these trees to start with the individual alignments, add their sequences of interest and proceed with the analysis as described in the paper.
description: {"references": ["Wang, Qinghua, et al. \"Morphology and molecular phylogeny of coccoid green algae Coelastrella sensu lato (Scenedesmaceae, Sphaeropeales), including the description of three new species and two new varieties.\" Journal of phycology 55.6 (2019): 1290-1305."]}
DOI: 10.5281/zenodo.4720667
title: Comparative and phylogenomic analysis of nuclear and organelle genes in cryptic Coelastrella vacuolata MACC-549 green algae

description: Phylogenetic analysis was carried out by using 3 nucleotide (18S, ITS2 and <em>tufA</em>) and 7 protein sequences (PetA, PsbD, PsaC, PsbB, RbcL, AtpA, and PsaB proteins coded on the chloroplast genome). The bulk of all the sequences used were downloaded from a previous study - Wang et. al. 2019. Multiple alignments of separate loci were created by using the L-INS-i Iterative refinement method in MAFFT v.7.427. The multiple alignments were manually curated to correct false base mismatches introduced by the automatic multiple alignment algorithm. We also provide these multiple sequence alignments herewith for anyone to use with their own dataset to phylogenetically classify members within Sphaeropleales. After alignment, highly variable and non-informative sites from the alignments were removed using GBlocks (v.91b). Minimum number of sequences for a conserved position and for a flank position were set to 50% of the number of sequences plus one, maximum number of contiguous non-conserved positions was set to 20, minimum length of a block was set to 2 and we allowed a gap position in all sequences. The 3 nucleotide sequences were concatenated into a single aligned sequence, referred to as the “Conventional loci alignment”. We also assembled a 10 loci alignment by concatenating the 3 nucleotide and 7 protein sequences into one alignment. Overall, two phylogenetic trees were inferred by iqTree2. These trees are also provided herewith for those who would like to try it out. FILE DESCRIPTIONS: The files ending in *.fasta (sequence_18s_v2_aligned.fasta, sequence_fixedITS2_newnames_aligned_edited.fasta and sequence_tufA_v2_aligned.fasta) all contain individual alignments for the 3 nucleotide sequences. All files ending in *.seqs (atpA_aligned.seqs, petA_aligned.seqs, psaB_aligned.seqs, psaC_aligned.seqs, psbB_aligned.seqs, psbD_aligned.seqs, rbcL_aligned.seqs) contain individual alignments for the 7 protein sequences. The nucleotide sequences are concatenated within Traditional_tree_concatenated_v2.fas and the protein sequences are concatenated in concatenated_proteins_v2.faa. The mixed_loci.tre file is the tree file produced by mixing both the nucleotide and protein sequence. The traditional_loci.tre file is the tree file produced with only the three nucleotide sequences. Finally, the nexus file required for iqTree2 runs are provided in partitions_mixed.txt (use with concatenated_proteins_v2.faa) and partitions_traditional_tree.txt (use with Traditional_tree_concatenated_v2.fas) We would recommend any who would like to use these trees to start with the individual alignments, add their sequences of interest and proceed with the analysis as described in the paper.
description: {"references": ["Wang, Qinghua, et al. \"Morphology and molecular phylogeny of coccoid green algae Coelastrella sensu lato (Scenedesmaceae, Sphaeropeales), including the description of three new species and two new varieties.\" Journal of phycology 55.6 (2019): 1290-1305."]}
DOI: 10.21227/er9f-5b09
title: EEG signals of University Level Students Learning using Video and Text

description: University level education is in constant evolution, making use of technological advancements in order to provide high quality pedagogical instruction to students. An important aspect of modern education is the contribution of Information Technologies,as different technological resources can be implemented to provide education under a variety of teaching modalities. New learning modalities using modern technologies, such as dynamic lectures using live feedback from the students through wireless devices and social-media educational platforms for student-teacher interaction, have shown increased acceptance rates in students when compared to more traditional teaching modalities. Due to the fast technological progress applied to education, teachersand students alike need to adapt quickly and adopt these new teaching modalities at a fast pace. Due to this reason, electroencephalographic (EEG) signals were recorded in university level students, while learning under two different modalities (video and text).This database contains EEG signals of participants in both groups, as well as the scores and exam times of three repetitions of learning tasks with increasing difficulty. This database could be used to relate cognitive performance of students, while learning underdifferent modalities. Intelligent models could be obtained to predict the cognitive performance of students by analysing their brain activity, which could be useful for students and educators to evaluate the efficiency of different learning/teaching methods.
DOI: 10.6084/m9.figshare.14492715
title: Test data

description: Test
DOI: 10.6084/m9.figshare.14492715.v2
title: Test data

description: Test
DOI: 10.6084/m9.figshare.14492715.v1
title: Test data

description: Test
DOI: 10.34740/kaggle/dsv/2101134
title: Getaberget Fracture Trace Dataset
DOI: 10.25442/hku.14481597
title: Data set: Species’ distribution and evolutionary history influence the responses of marine copepods to climate change: a global meta-analysis

description: Data set for Hemraj et al published in OMBAR. The data has been used in a meta-analysis of the effects of ocean acidification and warming on the response of copepods.Meta-analysis title: Species’ distribution and evolutionary history influence the responses of marine copepods to climate change: a global meta-analysis.<br>The data has been collected from multiple publications and merged together to be analysed. Major copepod traits investigated are egg production, egg hatching success, copepod feeding rates, survival and respiration rates. <br>
DOI: 10.25442/hku.14481597.v1
title: Data set: Species’ distribution and evolutionary history influence the responses of marine copepods to climate change: a global meta-analysis

description: Data set for Hemraj et al published in OMBAR. The data has been used in a meta-analysis of the effects of ocean acidification and warming on the response of copepods.Meta-analysis title: Species’ distribution and evolutionary history influence the responses of marine copepods to climate change: a global meta-analysis.<br>The data has been collected from multiple publications and merged together to be analysed. Major copepod traits investigated are egg production, egg hatching success, copepod feeding rates, survival and respiration rates. <br>
DOI: 10.5281/zenodo.4719832
title: Juno Waves high frequency antenna properties - data set

description: <strong>Introduction</strong> This data set contains descriptive antenna properties for Juno’s Waves dipole. It supports correct post processing of recorded scientific in-flight data. <strong>Data Set 1 - Waves dipole impedance mismatch loss</strong> Waves dipole impedance mismatch loss is supplied as text file (csv) for easy automated processing. Data is presented in 100 kHz steps over the instruments frequency range, for both pre-amplifier states “ON” and “OFF”. Results of both calculation methods, as found in sections 6.1 and 6.2 of the main text, are included. filename: Juno_Waves_IL.csv <strong>Data Set 2 - Waves directivity tables</strong> Waves directivity patterns are supplied as text files (csv), containing 3D-spatial tables in 100 kHz steps over the instruments frequency range. The data is in spherical coordinates (co-latitude and azimuth) in the spacecraft-fixed reference frame. filename: Juno_Waves_directivity_csv.zip <strong>Plots to Data Set 2 - directivity plots of Waves dipole</strong> Plots to Data Set 2 contain PDF files showing for every 100 kHz step a visual 2D-surface impression of the 3D directivity pattern. filename: Juno_Waves_directivity_pdf.zip
DOI: 10.5281/zenodo.4719831
title: Juno Waves high frequency antenna properties - data set

description: <strong>Introduction</strong> This data set contains descriptive antenna properties for Juno’s Waves dipole. It supports correct post processing of recorded scientific in-flight data. <strong>Data Set 1 - Waves dipole impedance mismatch loss</strong> Waves dipole impedance mismatch loss is supplied as text file (csv) for easy automated processing. Data is presented in 100 kHz steps over the instruments frequency range, for both pre-amplifier states “ON” and “OFF”. Results of both calculation methods, as found in sections 6.1 and 6.2 of the main text, are included. filename: Juno_Waves_IL.csv <strong>Data Set 2 - Waves directivity tables</strong> Waves directivity patterns are supplied as text files (csv), containing 3D-spatial tables in 100 kHz steps over the instruments frequency range. The data is in spherical coordinates (co-latitude and azimuth) in the spacecraft-fixed reference frame. filename: Juno_Waves_directivity_csv.zip <strong>Plots to Data Set 2 - directivity plots of Waves dipole</strong> Plots to Data Set 2 contain PDF files showing for every 100 kHz step a visual 2D-surface impression of the 3D directivity pattern. filename: Juno_Waves_directivity_pdf.zip
DOI: 10.6084/m9.figshare.14493768
title: S-wave attenuation due to acceleration

description: For Berea sandstone and Boise sandstone
DOI: 10.6084/m9.figshare.14493768.v1
title: S-wave attenuation due to acceleration

description: For Berea sandstone and Boise sandstone
DOI: 10.22008/fk2/vlo6nq/x8fkck
title: 5298 Supplementary File S1.tab

description: Sample details (Table 1), AFTA data (Table 2) and thermal history constraints extracted from the AFTA data in each sample (Table 3).
DOI: 10.22008/fk2/vlo6nq/1ptrti
title: 5298 Supplementary file S2.pdf

description: Supplementary File S2: Geotrack report GC1113 (Green 2014) containing analytical details, basic AFTA data in individual samples and a discussion of the thermal history interpretations derived from AFTA data in each sample.
DOI: 10.14278/rodare.954
title: Proton beam quality enhancement by spectral phase control of a PW-class laser system

description: This repository contains the experimental raw data, the analyzed data and corresponding scripts as well as figures for the "Proton beam quality enhancement by spectral phase control of a PW-class laser system" publication. https://doi.org/10.1038/s41598-021-86547-x
description: {"references": ["Ziegler, T. et al. Proton beam quality enhancement by spectral phase control of a PW-class laser system. Sci Rep 11, 7338 (2021)", "Ziegler, T. et al. arXiv:2007.11499v3"]}
DOI: 10.14278/rodare.953
title: Proton beam quality enhancement by spectral phase control of a PW-class laser system

description: This repository contains the experimental raw data, the analyzed data and corresponding scripts as well as figures for the "Proton beam quality enhancement by spectral phase control of a PW-class laser system" publication. https://doi.org/10.1038/s41598-021-86547-x
description: {"references": ["Ziegler, T. et al. Proton beam quality enhancement by spectral phase control of a PW-class laser system. Sci Rep 11, 7338 (2021)", "Ziegler, T. et al. arXiv:2007.11499v3"]}
DOI: 10.23679/507
title: Viidumae complex profile report. Data from appendix
title: Viidumae kompleksprofiili seletuskiri. Andmed lisadest

description: Supplementary data table contains the information on pollen taxa recorded in three sediment cores from spring fens in Viidumäe, Saaremaa island, Estonia. The data has been used in context of understanding calcareous spring fen and surrounded vegetation development. Pollen data for arboreal taxa is given as percentages, but non-arboreal taxa as presence or absence. Modelled depth ages (cal yr BP) is given based on one radiocarbon date from the bottom part of each sediment core.
DOI: 10.5281/zenodo.4719293
title: Dispersal strategies of two cereal-feeding eriophyid mite species

description: Data from: Propagule pressure rather than population growth determines colonisation ability: a case study using two phytophagous mite species differing in their invasive potential and Hitchhiking or hang gliding? Dispersal strategies of two cereal-feeding eriophyid mite species <strong>File name:</strong> dispersal_colonisers.xlsx Variables: 1. species - mite species: WCM - wheat curl mite MT-1 (<em>Aceria tosichella</em>); CRM - cereal rust mite complex 2 (<em>Abacarus hystrix</em>) 2. dispersal - the mode of dispersal: ambulatory - active dispersal by walking; aerial - passive dispersal with wind; insect - passive dispersal with insect vector (Insecta: Thysanoptera); robot - passive dispersal with mammal-mimicking vector (robot); control - no dispersal agent 3. N - the source population size, i.e. the total no. of individuals, which were exposed to dispersal agent 4. C - the number of colonisers, i.e. the no. of individuals on the target plant after 14 days of incubation <strong>File name: </strong>dispersal_settlers.xlsx 1. species - mite species: WCM - wheat curl mite MT-1 (<em>Aceria tosichella</em>); CRM - cereal rust mite complex 2 (<em>Abacarus hystrix</em>) 2. disperal - the mode of dispersal: aerial - passive dispersal with wind; ambulatory - active dispersal by walking 3. N - the source population size, i.e. the total no. of individuals, which were exposed to dispersal agent 4. S - the number of settlers, i.e. no. of individuals that reached the target plants
description: The study was supported by National Science Centre Poland (NSC) grant no. 2019/35/N/NZ8/02639 to AM. AS was involved in this work while supported by the (NSC) grant 2016/21/B/NZ8/00786. NSC funded the scholarship no. 2018/28/T/NZ8/00060 to AM and scholarship no. 2019/32/T/NZ8/00151 to AL. AL was funded by Adam Mickiewicz University Foundation. AM & AL scholarships were founded by European Social Funds POWR.03.02.00–00–I006/17. The funding institutions did not participate in the design or analyses of experiments. All experiments performed complied with the current laws of Poland and UE.