cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4tw6y45y6r.1
title: LC-MS/MS raw data

description: Raw data of lipidome from 6-week leaves and metabolites from 6-week leaves or purified chloroplasts acquired with the protocol supplied with the method involved in this study. Data files contain both full technical replicates for evaluation of the protocol performance, and LC-MS/MS replicates for evaluating the performance of the LC-MS/MS platform and acquisition strategy. In these data files, “Sample01-05” represents the five repeats of wild-type, “Sample06-10” represents the five repeats of OE13, “Sample11-15” represents the five repeats of OE14, “Sample16-20” represents the five repeats of OE22, “Sample21-25” represents the five repeats of OE23, “Sample26-30” represents the five repeats of M55, and “Sample31-35” represents the five repeats of M56.
DOI: 10.17632/6zj5p8jhby.1
title: The transition of orogenic styles during the assembly of the Columbia supercontinent: insights from Paleoproterozoic granitic gneiss domes within the Jiao-Liao-Ji belt, North China Craton

description: Data for morphological fabric analysis and geochronology data for samples XY18015-C and XY17008-3
DOI: 10.17632/8prbvv3xdw.2
title: qRT-PCR+RNA seq FPKM

description: qRT–PCR detection of the DE-mRNAs, DE-lncRNAs, DE-miRNAs, and DE-circRNAs after H37Rv or H37Rv△1759c infection. The expression levels of DE-mRNAs (CCL20, CXCL20, and IFIT1) (A), DE-lncRNAs (ENST00000647388, ENST00000445682, and ENST00000666623) , DE-miRNAs (hsa-miR-1268a hsa-miR-1271–5p and hsa-miR-4638–5p) and DE-circRNAs (hsa_circ_036051, hsa_circ_041934, hsa_circ_065432)  were validated by qRT–PCR. The expression levels of these differentially expressed genes relative to the control cell after H37Rv or H37RvΔ1759c infection were calculated by FPKM values .
DOI: 10.17632/jxm2bwkc33.1
title: 400 Compositions by EFL Learners of a University in Southwestern China (CEFLLUSC)

description: This is a self-built EFL learner corpus comprising 400 compositions written by 100 English program students from a University in Southwestern China. 

The data were collected in the first semester of the academic year 2016-2017, which was the third semester for the students.
The students are from 3 classes of the course English Writing. Each student was required to write 1 composition in weeks 1, 3, 5, and 7 respectively of that semester. There are a total of 115 students in the 3 classes. To keep the consistency of the writing samples, the compositions of 15 of the students who cannot complete all the 4 writing tasks are deleted from the dataset. 

The corpus is made up of:
100 compositions of genre “letters”: 15,185 words
100 compositions of genre “narration”: 19,555 words
100 compositions of genre “causes & effects”: 15,903 words
100 compositions of genre “argumentation”: 17,971 words
The total number of words: 68,614 words.

The instructions for the 4 writing tasks are as follows:
Writing Task 1 (Week 1), Letters
Your aunt sent you a sweater you need. Write a thank-you letter to her. You should write more than 150 words.
Writing Task 2 (Week 3), Narration
Write a memorable experience in your life. You should write about 150 words.
Writing Task 3 (Week 5), Causes & Effects
What are the reasons why the government of a developing country may want to send students abroad (to a developed country) to study?
Writing Task 4 (Week 7), Argumentation
Do you think college students should or should not do part-time jobs in their spare time? Write a paragraph to state your opinion. 

Their compositions are required to be submitted to an English Writing correcting website (www.pigai.org), which is an intelligent online system for correcting and scoring English compositions. By comparing and analyzing students’ compositions with massive standard corpora, it can give feedback on English compositions with scores, general comments, and error correction. 

The students are aged from 18 to 22. Their demographic information and the writing scores are in the file "Students' Demographic Information.xls". In this file, demographic information of the students includes gender, age, ethnic group, and where they are from: rural or urban areas and the province. 
It also provides students’ academic performance of the semester before the semester when they wrote the 4 compositions, including final examination scores of courses such as Basic English, College Physical Education, College English Viewing and Listening, English Reading, English Phonetics, and College Chinese. 
Scores of the students’ writing are also provided. It should be noted that the scores are automatically generated by a writing correction system mentioned above, but not by teachers’ manual marking. Thus, the writing scores should be carefully used for research purposes.
DOI: 10.17632/4xn5bynbwv.1
title: Super Multiplicative VRS DEA input-oriented model

description: Super Multiplicative VRS DEA input-oriented model results obtained with 660 DMUs using apache bench tool for evaluating video stream files on two main webservers from the market, that are Apache2 vs Nginx, varying 15 TCP congestion control algorithms on Xen hypervisor.

Abstract:
The prediction of the best set of tools for delivering network services is always a hot topic of research, mainly on the Internet where the population changes its interest in the type of services to be consumed rapidly. Moreover, randomness is a challenge for all kinds of prediction, even though specifically on computer networks in the 90´s decade the self-similarity concept on computer networks brought the memory over time on spatiotemporal data. The self-similarity's memory and fractal dimension are important indexes to see the difference in performance and stability among a set of time series data over time. Recently, it was discovered on virtual networks that change the set of tools or virtual network hypervisors for delivering services there is distinct fractal behaviour on network services providers. Then, the choose of the best virtual network hypervisor is mandatory to deliver the best way to provision virtual network services along the time. By the way, the researchers discovered along with the history a series of analytic ways of forecasting services based on time series, one of them is data envelopment analysis (DEA). DEA is a nonparametric multicriteria decision-making models that use decision variables to make an accurate judgment of decision-making units (DMU). The main contribution of the paper is to use a new super-efficiency multiplicative DEA model for the prediction of the best DMU varying the TCP congestion control algorithms and virtual network settings as vCPU (1, 2, and 4) and vRAM (1,2, and 4) with network and fractal indexes as decision variables. The experiments were conducted on Xen type-I hypervisor to acquire the web traffic by using the apache-bench benchmarking tool for obtaining each decision variable from DMUs for DEA ranking.
DOI: 10.17632/wrhr5862cb.3
title: Data PROM Baseline

description: The data include the first assessment (before the initial treatment) of patient-reported outcomes (PROs) in ambulatory patients who visited the breast cancer center at Charité – Universitätsmedizin Berlin between November 2016 and March 2021. 1727 ambulatory patients with early breast cancer, ductal carcinoma in situ (DCIS), fibroadenoma, and other breast diseases were registered in the digital PRO-system as part of clinical routine. Patients’ sociodemographic data, medical history, clinical variables, and scores of the EORTC QLQ-C30 and EORTC QLQ-BR23 are provided in this dataset.
The assessment was performed electronically on tablet computers in the waiting area of the outpatient clinic. All surveys were provided in German via a web-based PRO-system (Heartbeat Medical). The questionnaires included PROs (EORTC QLQ-C30 and EORTC QLQ-BR23) and anamnesis (medical history and sociodemographic data). The anamnestic dataset, which was obtained via questionnaire, includes a version of the ICHOM breast cancer standard set that has been modified to German standards by the study group. Additional clinical data were documented afterwards in the PRO system by doctoral students or student assistants based on medical files.
The inclusion criteria for this dataset were as follows: 
-	Patients with a diagnosis of breast cancer, DCIS, fibroadenoma, or other breast diseases
-	Age 18 or over
-	German speakers
The exclusion criteria were as follows:
-	Non-eligible diagnosis
-	Diagnosis date after March 31, 2021
-	Missing diagnosis or diagnosis date
-	Diagnosis changed into a non-eligible diagnosis type (e.g., diagnosis date > 7 days after initial survey
-	First survey after treatment initiation
-	Second opinion
Most of the patients did not know their definitive diagnosis before the assessment of PROs and before the start of their initial treatment. If patients were diagnosed with more than one breast disease, they were labeled according to the following algorithm: breast cancer/DCIS>fibroadenoma>other breast diseases. Patients who were not treated at the Charité and only visited the outpatient clinic for a second were excluded.

Version 3: Cognitive function score in EORTC QLQ-C30 was updated.
DOI: 10.17632/xmjz4f2m86.1
title: Model in 3D for Capacitive Deionization

description: This is a 3D model for capacitive deionization (CDI).
The model contains interfaces for fluid flow, currents, and ionic transport within the device.
DOI: 10.17632/89x8s56p5z.2
title: The Efficacy and Safety of Janus Kinase Inhibitors in Patients with Atopic Dermatitis: A Systematic Review and Meta-analysis

description: These data is a supplementary data for a manuscript entitled "The Efficacy and Safety of Janus Kinase Inhibitors in Patients with Atopic Dermatitis: A Systematic Review and Meta-analysis". In this study, we showed that JAK inhibitors are a promising treatment option for AD. Due to the higher risk of gastrointestinal disorders, nasopharyngitis and headache during oral JAKi treatments, more attention should be paid on the adverse effects of patients treated with oral JAKi. Further studies with long follow-up in the different conditions will be needed to fully elucidate the safety profile of the different JAK inhibitors.
DOI: 10.17632/nt79tw6htv.1
title: Research on Global Cultural Heritage Tourism Based on Bibliometric Analysis

description: This study obtained data on the literature related to cultural heritage tourism from 2002 to 2022 from the Social Sciences Citation Index (SSCI) database, and used CiteSpace 5.8.R2 software to visually analyze the data. tourism.
DOI: 10.17632/3vnfk6s9tb.1
title: Major and trace elements in snow water of Western Siberia

description: Primary data on concentrations in the dissolved (< 0.22 µm), colloidal (< 50 kDa) and low molecular weight (< 3 kDa) form of elements in the snow water
DOI: 10.17632/3p6xhs2hdt.1
title: ELJ Supplementation and Recovery

description: Eurycoma longifolia Jack or Tongkat Ali is a popular Malaysian ginseng and used for medical purposes for thousands of years mainly in Southeast Asian countries. It contains several compounds that are reported to be effective for anti-aging, and enhance androgen hormones such as testosterone. No previous study has investigated the effects of Tongkat Ali supplementation on exercise-induced muscle damage that is indicated by muscle soreness and a prolonged loss of muscle function. We expected that muscle function would recover faster and soreness would be less after exercise, when Tongkat Ali was supplemented in comparison to placebo condition.
DOI: 10.17632/cnkd95kp65.1
title: OPU force analyzer

description: This dataset contains all relevant data files to fully reproduce an open-source broad sensing range force analyzer for the evaluation of mucoadhesion of drug delivery devices and a wider field of potential force sensing applications.
DOI: 10.17632/mtjvvmmmcw.1
title: Identification of key prognostic genes in ovarian cancer using WGCNA and LASSO analysis

description: This study aims to identify new prognostic genes of OC through bioinformatics analysis.Based on two datasets from the NCBI GEO public database, we constructed two WGCNA networks. We then selected and intersected two key modules and 177 key genes were identified. The GO, KEGG and PPI network were determined based on the screened genes.According to the LASSO analysis and KM plotter, three hub genes were associated with the overall survival. GEPIA and IHC staining showed that CCDC80 expression level was lower while FBXO16 expression level was higher in OC tissues than in normal ovarian tissues. The relationship between hub genes and clinical characteristics was evaluated and the prognostic significance was validated  in 60 clinical patients with OC. CIBERSORT shows that both CCDC80 and FBXO16 were significantly correlated with the immune cell content. Drug sensitivity analysis shows that CCDC80 affected the IC50 value of Gefitinib, and FBXO16 affected the IC50 value of Cisplatin and Docetaxel. CCDC80 and FBXO16 were identified as two robust prognostic factors in OC that could be explored further with respect to the diagnosis and treatment of OC patients.
DOI: 10.17632/4833bhfjv3.1
title: Nanomag Dataset: Labyrinth Spin Structures

description: These datasets are composed of various labyrinth spin configurations simulated on a 128*128 square grid lattice system with Heisenberg spin model.
DOI: 10.17632/hm25xhg3j5.1
title: MATLAB code P22 model

description: MATLAB code Related to Figure 1:
Evolution predicted phage titer and cell count (as PFU/mL and CFU/mL, respectively, in panel D), phage production (as PFU/mL×h in panel E), and percentage of lysogens and non-lysogens (in panel F) based on previously published models describing the infection dynamics of phage λ and its host E. coli (33), but adjusted to the chemostat setup monitored in A-C and fitted with the P22 specific parameters for burst size, latent time, adsorption rate, and spontaneous induction. Model equations and parameters (49, 50) can be found in Fig. S2.
DOI: 10.48370/ofd/0hbihp
title: Stictoleptura hybrida (Rey,1885), C-684

description: Coleoptera collection
DOI: 10.5281/zenodo.6418487
title: Accompanying data for the Paper Topic Modeling Revisited: New Evidence on Algorithm Performance and Quality Metrics, PLOSOne (2022)

description: Accompanying data for the Paper Topic Modeling Revisited: New Evidence on Algorithm Performance and Quality Metrics, PLOSOne (2022). Please refer to the appendix section "Dataset Extraction Procedure and Composition" for further information on the dataset.
DOI: 10.5281/zenodo.6418486
title: Accompanying data for the Paper Topic Modeling Revisited: New Evidence on Algorithm Performance and Quality Metrics, PLOSOne (2022)

description: Accompanying data for the Paper Topic Modeling Revisited: New Evidence on Algorithm Performance and Quality Metrics, PLOSOne (2022). Please refer to the appendix section "Dataset Extraction Procedure and Composition" for further information on the dataset.
DOI: 10.6084/m9.figshare.18550907
title: bacteria and viruses traits and species-related factors

description: This data relates to bacteria and viruses in Europe and their definition of alien status. The data was collected between 2017 and 2021 by pathologists with expertise in epidemiology and diagnostics. Two types of data are available: 1. species -related factors: taxonomy, origin, date of first introduction and pathways 2. records at country scale. <br> please see "readme.txt" file for further explanation <br> <br> <br> <br>
DOI: 10.6084/m9.figshare.18550907.v2
title: bacteria and viruses traits and species-related factors

description: This data relates to bacteria and viruses in Europe and their definition of alien status. The data was collected between 2017 and 2021 by pathologists with expertise in epidemiology and diagnostics. Two types of data are available: 1. species -related factors: taxonomy, origin, date of first introduction and pathways 2. records at country scale. <br> please see "readme.txt" file for further explanation <br> <br> <br> <br>
DOI: 10.6084/m9.figshare.18550907.v1
title: bacteria and viruses invasion traits

description: This data relates to bacteria and viruses in Europe and their definition of alien status. The data was collected between 2017 and 2021 by pathologists with expertise in epidemiology and diagnostics. Two types of data are available: 1. species -related factors: taxonomy, origin, date of first introduction and pathways 2. records at country scale. <br> please see "readme.txt" file for further explanation <br> <br> <br> <br>
DOI: 10.6084/m9.figshare.19573831
title: Blood immune parameter In vivo.xlsx

description: Data are related to experimentation in fish after in vivo treatment of triazophos
DOI: 10.6084/m9.figshare.19573831.v1
title: Blood immune parameter In vivo.xlsx

description: Data are related to experimentation in fish after in vivo treatment of triazophos
DOI: 10.5281/zenodo.6446122
title: Frouin-et-al-Comparative metagenomics of serpentinizing systems: Supplemental Files

description: Supplemental files associated with Frouin et. al. manuscript entitled "Comparative metagenomics highlight a widespread pathway involved in the catabolism of phosphonates in marine and terrestrial serpentinizing ecosystems".
DOI: 10.6084/m9.figshare.19166174
title: Supplementary Material Frontiers Karpodini et al., 2022.docx

description: Algorithmflow chart diagramMeta analyses of non significant effects Forest plotsGrade analysis<br>
DOI: 10.6084/m9.figshare.19166174.v1
title: Supplementary Material Frontiers Karpodini et al., 2022.docx

description: Algorithmflow chart diagramMeta analyses of non significant effects Forest plotsGrade analysis<br>
DOI: 10.15161/oar.it/75361
title: e± Injection systems

description: Table: LINAC Low energy/high current - High energy/low current.
DOI: 10.15161/oar.it/75360
title: e± Injection systems

description: Table: LINAC Low energy/high current - High energy/low current.
DOI: 10.6084/m9.figshare.15088110.v1
title: Adam, Kolyfetis et al., 2021. Supplementary Data.

description: Compressed Supplementary Data files for (Adam, Kolyfetis, et al., 2021). File descriptions are given below and in more detail in the readme file.<br><br>Supplementary Data 1<br>Data regarding all DUF phylogenies (taxonomic distributions, HMM profiles, homology search outfiles with and without e-value threshold, alignments, trimmed alignments, phylogeny runs), plus local genome database records.<br><br>Supplementary Data 2Data regarding methanogenesis markers phylogenies from (Borrel et al., 2019) (HMM profiles, DIAMOND seed sequences, homology search outfiles with and without e-value threshold, alignments, trimmed alignments, and phylogeny runs).<br><br>Supplementary Data 3<br>Data regarding congruence tests and the supermatrix phylogeny of Mcr.<br><br>Supplementary Data 4<br>Data regarding congruence tests and the supermatrix phylogeny of Mtr.<br><br>Supplementary Data 5<br>Data regarding the phylogenetic runs for the taxonomic placement of NRA7 (Archaeoglobi) and Bathyarchaeota metagenomic bins. Also data regarding AAI/ANI, biogeography, and 16S analyses, plus CheckM outfiles.<br><br>Supplementary Data 6<br>Data regarding the results of the metabolic prediction (BlastKOALA/dbCAN2/HydDB/MEROPS) for the genomes studied.<br><br>Supplementary Data 7<br>Data regarding methanogenesis marker phylogenies from (Gao & Gupta, 2007) and phylogenies of Wood-Ljungdahl pathway and methyltransferase proteins (HMM profiles, DIAMOND seed sequences, homology search outfiles with and without e-value threshold, alignments, trimmed alignments, and phylogeny runs).<br><br>Supplementary Data 8<br>Data regarding phylogenies of additional Eha, Ehb and Hcg proteins (HMM profiles, DIAMOND seed sequences, homology search outfiles with and without e-value threshold, alignments, trimmed alignments, and phylogeny runs).<br><br>Supplementary Data 9<br>Data regarding congruence tests and the supermatrix phylogenies of the Hcg proteins.<br>Supplementary Data 10<br>Data regarding congruence tests and the supermatrix phylogeny of Eha.<br><br>Supplementary Data 11<br>Data regarding congruence tests and the supermatrix phylogenies of Ehb.<br><br>Supplementary Data 12<br>Data regarding all rooting analyses on the supermatrices and the methyltransferases genes.<br><br>Supplementary Data 13<br>Data regarding gene and site concordance factor calculations for all supermatrices.<br><br>Supplementary Data 14<br>Data regarding site-specific rate calculations, benchmarks, and all related statistical tests. Transmembrane segment prediction runs and statistical tests for their relationship eith site-specific rates.<br><br>Supplementary Data 15<br>Data regarding all Ancestral Sequence Reconstruction runs, homology searches of the ancestral sequences, trimmed ancestral sequences, and homology modeling of McrA.<br><br>
DOI: 10.6084/m9.figshare.18411410
title: CYBERBULLYING

description: 777 Chinese adolescents (56.8% male, aged between 11 and 16 years old) completed questionnaires assessing personal information, deviant peers, moral disengagement and cyberbullying.
DOI: 10.6084/m9.figshare.19574980
title: Cyberbullying

description: A total of 777 middle school students (females = 336; mean age = 13.57; SD = 0.98) were investigated by using the Parent Attachment Questionnaire, Deviant Peer Affiliation Questionnaire, Moral Disengagement Questionnaire and Cyber Bullying Behavior Questionnaire.
DOI: 10.5281/zenodo.6446514
title: Measurement report: On the contribution of long-distance transport to the secondary aerosol formation and aging

description: (1) Chemical composition of PM2.5 in four transport sectors.<br> (2) Time series of organic aerosol factors resolved by PMF&ME-2 in four transport sectors.<br> (3) Meteorological data corresponded to the ACSM and PMF&ME-2 data.<br> (4) f44 and f43 ratio in four transport sectors.
DOI: 10.5281/zenodo.6446513
title: Measurement report: On the contribution of long-distance transport to the secondary aerosol formation and aging

description: (1) Chemical composition of PM2.5 in four transport sectors.<br> (2) Time series of organic aerosol factors resolved by PMF&ME-2 in four transport sectors.<br> (3) Meteorological data corresponded to the ACSM and PMF&ME-2 data.<br> (4) f44 and f43 ratio in four transport sectors.
DOI: 10.6084/m9.figshare.17137061
title: Oxidative stress induces Ser 2 dephosphorylation of the RNA polymerase II CTD and premature transcription termination

description: The C-terminal domain (CTD) of the largest subunit of RNA polymerase II (Pol II) consists of YSPTSPS heptapeptide repeats, and the phosphorylation status of the repeats controls multiple transcriptional steps and co-transcriptional events. However, how CTD phosphorylation status responds to distinct environmental stresses is not fully understood. In this study, we found that a drastic reduction in phosphorylation of a subset of Ser2 residues occurs rapidly but transiently following exposure to H<sub>2</sub>O<sub>2</sub>. ChIP analysis indicated that Ser2-P, and to a lesser extent Tyr1-P was reduced only at the gene 3’ end. Significantly, the levels of polyadenylation factor CstF77, as well as Pol II, were also reduced. However, no increase in uncleaved or readthrough RNA products was observed, suggesting transcribing Pol II prematurely terminates at the gene end in response to H<sub>2</sub>O<sub>2</sub>. Further analysis found that the reduction of Ser2-P is, at least in part, regulated by CK2 but independent of FCP1 and other known Ser2 phosphatases. Finally, the H<sub>2</sub>O<sub>2</sub> treatment also affected snRNA 3’ processing although surprisingly the U2 processing was not impaired. Together, our data suggest that H<sub>2</sub>O<sub>2</sub> exposure creates a unique CTD phosphorylation state that rapidly alters transcription to deal with acute oxidative stress, perhaps creating a novel “emergency brake” mechanism to transiently dampen gene expression.