cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nntmcg6fz5.1
title: PM2.5-xinzang

description: PM2.5 induced cardiac fibrosis
DOI: 10.5281/zenodo.7310341
title: Research areas in citizen science - Dataset

description: The dataset contains the following details: Platform ID (from which platform the CS project descriptions were retrieved) Project Title (Name of the CS project) Research area assignment results (More details about the assignment technique can be found in D3.2 ‘Web Analytics Toolset and Workbench’ - ESA backend) Research Area assignment reported in section 7.2 of D2.2 (which only considered the research area assignment with the highest similarity) Sub research area assignment ((which only considered the sub research area assignment with the highest similarity)
description: Other related information about CS project descriptions and data source websites can be found in the following: https://doi.org/10.5281/zenodo.7310096 and https://doi.org/10.5281/zenodo.7310295 .
DOI: 10.5281/zenodo.7310340
title: Research areas in citizen science - Dataset

description: The dataset contains the following details: Platform ID (from which platform the CS project descriptions were retrieved) Project Title (Name of the CS project) Research area assignment results (More details about the assignment technique can be found in D3.2 ‘Web Analytics Toolset and Workbench’ - ESA backend) Research Area assignment reported in section 7.2 of D2.2 (which only considered the research area assignment with the highest similarity) Sub research area assignment ((which only considered the sub research area assignment with the highest similarity)
description: Other related information about CS project descriptions and data source websites can be found in the following: https://doi.org/10.5281/zenodo.7310096 and https://doi.org/10.5281/zenodo.7310295 .
DOI: 10.5281/zenodo.7352532
title: GHGA_sarek3.1_variant_calling_CHM_WGS

description: Using the sarek (3.1) pipeline default values. Aligned to HG38 using bwa, and dragmap. Variants are called using either haplotypecaller, strelka, deepvariant, freebayes, or mpileup. Data input was the publically available CHM dataset (SAMEA3911976)
DOI: 10.5281/zenodo.7352531
title: GHGA_sarek3.1_variant_calling_CHM_WGS

description: Using the sarek (3.1) pipeline default values. Aligned to HG38 using bwa, and dragmap. Variants are called using either haplotypecaller, strelka, deepvariant, freebayes, or mpileup. Data input was the publically available CHM dataset (SAMEA3911976)
DOI: 10.6084/m9.figshare.21608223
title: Supplementary Table 1.docx

description: The optimal levels of these metal ions were determined from preliminary experiments (Supplemental Information S1）
DOI: 10.6084/m9.figshare.21608223.v1
title: Supplementary Table 1.docx

description: The optimal levels of these metal ions were determined from preliminary experiments (Supplemental Information S1）
DOI: 10.5281/zenodo.6865837
title: CHROMATIN ACTIVATION PROFILING OF STEREOTYPED CHRONIC LYMPHOCYTIC LEUKEMIAS

description: We used chromatin-immunoprecipitation followed by sequencing (ChIP-Seq) with an antibody for the H3K27ac (a bona fide histone mark for regulatory element activation) in sorted CLL cells from 46 CLL, including 21 cases from stereotyped subsets #1, #2, #4, and #8, and 15 normal B cell subpopulations. To understand their functional impact, we integrated our data with 16 RNA-seq data. <strong>Files description:</strong><br> - H3K27ac_freq2_FDR_consensus_2022.txt count matrix from H3K27ac signals<br> - H3K27ac_FDR_consensus_norm.Combat_2022.txt count matrix from H3K27ac signals after batch effect correction<br> - RNAseq_norm.Combat_results.txt count matrix from RNAseq after batch effect correction<br> - signature_RESAMPLING_ss8VSucll_2022.txt differentially acetylated regions between U-CLL and stereotyped subset #8 applying random sampling 100 times with a range of samples from 5 to n-1 in each category. The regions showing frequency &gt;=20% were considered significant regions.
DOI: 10.5281/zenodo.7353716
title: CHROMATIN ACTIVATION PROFILING OF STEREOTYPED CHRONIC LYMPHOCYTIC LEUKEMIAS

description: We used chromatin-immunoprecipitation followed by sequencing (ChIP-Seq) with an antibody for the H3K27ac (a bona fide histone mark for regulatory element activation) in sorted CLL cells from 46 CLL, including 21 cases from stereotyped subsets #1, #2, #4, and #8, and 15 normal B cell subpopulations. To understand their functional impact, we integrated our data with 16 RNA-seq data. <strong>Files description:</strong><br> - H3K27ac_freq2_FDR_consensus_2022.txt count matrix from H3K27ac signals<br> - H3K27ac_FDR_consensus_norm.Combat_2022.txt count matrix from H3K27ac signals after batch effect correction<br> - RNAseq_norm.Combat_results.txt count matrix from RNAseq after batch effect correction<br> - signature_RESAMPLING_ss8VSucll_2022.txt differentially acetylated regions between U-CLL and stereotyped subset #8 applying random sampling 100 times with a range of samples from 5 to n-1 in each category. The regions showing frequency &gt;=20% were considered significant regions.
DOI: 10.6084/m9.figshare.21617364
title: Primary data for “Environmental Accounting Information Disclosure Driving Factors: The Case of Listed Firms in China".sav

description: These are primary data for Table 4,5 and 6 of my article "Environmental Accounting Information Disclosure Driving Factors: The Case of Listed Firms in China"published on Sustainability. <br>
DOI: 10.6084/m9.figshare.21617364.v1
title: Primary data for “Environmental Accounting Information Disclosure Driving Factors: The Case of Listed Firms in China".sav

description: These are primary data for Table 4,5 and 6 of my article "Environmental Accounting Information Disclosure Driving Factors: The Case of Listed Firms in China"published on Sustainability. <br>
DOI: 10.5281/zenodo.7353734
title: SciExpeM - 10.5281/zenodo.7353734

description: Karimi, Miad; Ochs, Bradley, 0000-0003-1759-5701; Liu, Zefang; Ranjan, Devesh; Sun, Wenting - Combustion And Flame, 2019, (204), 304-319
DOI: 10.5281/zenodo.7353733
title: SciExpeM - 10.5281/zenodo.7353734

description: Karimi, Miad; Ochs, Bradley, 0000-0003-1759-5701; Liu, Zefang; Ranjan, Devesh; Sun, Wenting - Combustion And Flame, 2019, (204), 304-319
DOI: 10.6084/m9.figshare.21617376
title: Supplementary Table 1.docx

description: The information of the primers used for the RT-qPCR is given in Supplemental Table S1
DOI: 10.5281/zenodo.6865838
title: CHROMATIN ACTIVATION PROFILING OF STEREOTYPED CHRONIC LYMPHOCYTIC LEUKEMIAS

description: We used chromatin-immunoprecipitation followed by sequencing (ChIP-Seq) with an antibody for the H3K27ac (a bona fide histone mark for regulatory element activation) in sorted CLL cells from 46 CLL, including 21 cases from stereotyped subsets #1, #2, #4, and #8, and 15 normal B cell subpopulations. To understand their functional impact, we integrated our data with 16 RNA-seq data. <strong>Files description:</strong><br> - H3K27ac_freq2_FDR_consensus_2022.txt count matrix from H3K27ac signals<br> - H3K27ac_FDR_consensus_norm.Combat_2022.txt count matrix from H3K27ac signals after batch effect correction<br> - metadata.csv metadata information<br> - metadata_batchEffectCorrection.csv metadata information regarding the batch effect correction<br> - RNAseq_norm.Combat_results.txt count matrix from RNAseq after batch effect correction<br> - signature_RESAMPLING_ss8VSucll_2022.txt differentially acetylated regions between U-CLL and stereotyped subset #8 applying random sampling 100 times with a range of samples from 5 to n-1 in each category. The regions showing frequency &gt;=20% were considered significant regions.
DOI: 10.6084/m9.figshare.21617337
title: Supplementary table 1-2.xlsx

description: Table S1-2
DOI: 10.6084/m9.figshare.21617337.v1
title: Supplementary table 1-2.xlsx

description: Table S1-2
DOI: 10.6084/m9.figshare.21058450
title: Primary data for “Environmental Accounting Information Disclosure Driving Factors: The Case of Listed Firms in China".sav

description: These are primary data for Table 4,5 and 6 of my article "Environmental Accounting Information Disclosure Driving Factors: The Case of Listed Firms in China"published on Sustainability.
DOI: 10.6084/m9.figshare.21058450.v2
title: Primary data for “Environmental Accounting Information Disclosure Driving Factors: The Case of Listed Firms in China".sav

description: These are primary data for Table 4,5 and 6 of my article "Environmental Accounting Information Disclosure Driving Factors: The Case of Listed Firms in China"published on Sustainability.
DOI: 10.6084/m9.figshare.21058450.v1
title: Primary data for “Who makes enterprises tell more about CSR？”-Research on the influencing factors of corporate environmental accounting information disclosure.sav

description: These are primary data for Table 4,5 and 6my article " “Who makes enterprises tell more about CSR？”-Research on the influencing factors of corporate environmental accounting information disclosure"
DOI: 10.13120/rrwe-zm92
title: Veice Lagoon Climate projections

description: E’ stato utilizzato il modello idrodinamico e termoalino sviluppato nella Linea 1.3 per le simulazioni biogeochimiche con la griglia VenlagBio_20, 6017 nodi e 10417 elementi, il cui dominio è delimitato dalla linea di conterminazione lagunare. Le forzanti meteo sono state ricavate dalle simulazioni climatiche prodotte con COSMO_CLM. Sono stati acquisiti i dati di output del modello dalla Linea 5.1 attraverso il sito ftp del CMCC. Dal sito ftp del CMCC sono stati acquisiti i dati giornalieri delle simulazioni storica (HISTORICAL, 1981-2005) e climatica CCLM (COSMO_CLM) RCP 8.5 2006-2100, a risoluzione di 8km (0.0715) (Bucchignani et al., 2016, Zollo et al. 2016). Oltre ai dati delle variabili di: Pressione SLM, velocità del vento (u e v), precipitazione totale (già disponibili nel sito ftp del progetto Venezia2021) sono stati acquisiti anche i dati giornalieri delle variabili: umidità relativa, temperatura media dell’aria a 2m dalla superficie, radiazione solare alla superficie terrestre, radiazione termica al suolo (forniti su richiesta per le attività di questo task). I dati sono stati utilizzati per creare dei file di forzanti per il modello di circolazione e biogeochimica.
DOI: 10.6084/m9.figshare.21617382.v1
title: Fagopyrum genome assembly

description: The genome assembly sequence of <em>Fagopyrum esculentum </em>and <em>Fagopyrum tartaricum</em>.
DOI: 10.5281/zenodo.7353663
title: Calculation of overlaps between assignments of Research Areas and SDGs

description: This collection of MS Excel sheets contains tables (matrices) with Jaccard similarity values between research areas (RAs) and sustainable development goals (SDGs) as declared by the United Nations. The underlying taxonomy of RAs is based on one used in Web of Science (WoS). For each pair of RA1 x RA2 or SDG1 x SDG2 or SDG1 x RA1, the corresponding matrix entry is calculated as the quotient of the number of projects that have both items assigend (numerator) and the number of projects that have at least one of the items assigend (denominator). We interpret this Jaccard index as a measure of similarity or "overlap". The assignment of RAs to projects is based on the computational method of ESA ("Explicit Semantic Analysis"). For SDGs, also hand-coded assignments (SDG_Man) are available in addition to automatically calculated ESA-based values. In two versions, the RAs and SDGs included are limited to those that have at least been assigned to 5 projects overall (min5 version) or 10 projects overall (min10 version). The calculations are based on a sample of 208 projects extracted from the CS Track database.
DOI: 10.5281/zenodo.7353664
title: Calculation of overlaps between assignments of Research Areas and SDGs

description: This collection of MS Excel sheets contains tables (matrices) with Jaccard similarity values between research areas (RAs) and sustainable development goals (SDGs) as declared by the United Nations. The underlying taxonomy of RAs is based on one used in Web of Science (WoS). For each pair of RA1 x RA2 or SDG1 x SDG2 or SDG1 x RA1, the corresponding matrix entry is calculated as the quotient of the number of projects that have both items assigend (numerator) and the number of projects that have at least one of the items assigend (denominator). We interpret this Jaccard index as a measure of similarity or "overlap". The assignment of RAs to projects is based on the computational method of ESA ("Explicit Semantic Analysis"). For SDGs, also hand-coded assignments (SDG_Man) are available in addition to automatically calculated ESA-based values. In two versions, the RAs and SDGs included are limited to those that have at least been assigned to 5 projects overall (min5 version) or 10 projects overall (min10 version). The calculations are based on a sample of 208 projects extracted from the CS Track database.
DOI: 10.6084/m9.figshare.20237763
title: Seismic data from Ty Cerrig farm

description: Seismic data collected at Ty Cerrig farm, just north of Harlech, Wales (52°53’17” N, 4°06’08” W) by the University of Leeds MSc Exploration Geophysics students in 2014. SEG-Y files are provided along with observation logs (Wales obs logs) and survey coordinates (Wales coordinates).
DOI: 10.6084/m9.figshare.20237733
title: Monte Carlo Simulations of the Plus Minus method Matlab code

description: Matlab code to assess the uncertainty in seismic refraction results, derived using the Plus-Minus method for two and three layer scenarios. MC_PM_xlayer.m is the main code which calls the functions make_normal_distribution.m, to create normal distributions, and plusminus_xlayer.m, to perform a plus-minus calculation.
DOI: 10.57777/kgm2022000184
title: 보리005
DOI: 10.25909/637f2b0fb59a8
title: Ocean acidification and seasonal temperature alter the behaviour and fitness of range-extending coral reef fish under future climate

description: Climate-driven invasions of ecosystems by range-extending animals are often mediated by behavioural modifications that increase their chances of establishment in novel biological communities. This creates novel ecological interactions that can also affect the behaviour of native species in recipient ecosystems. However, this key question has seldom been addressed in marine systems, in particular with the additive effect of ocean acidification and the mediating effects of seasonal climate variability. Here, we performed a laboratory experiment to evaluate how novel species interactions, ocean acidification, and future summer vs winter temperatures could affect the behaviour and fitness of a range-extending tropical and co-shoaling temperate fish. Compared to current summer temperatures, tropical fish became more active, more aggressive, and increased their feeding and fitness during future summers in their novel poleward ranges, but reduced their aggression, boldness and feeding during future winters. Tropical fish became more active under ocean acidification. Temperate fish behaviour was unaffected by climate treatment but their growth rates were higher under future winter vs current and future summer temperatures. We conclude that future winter conditions in temperate ecosystems still reduce the performance of range-extending fishes in temperate fish communities and hence slow down tropicalisation of higher latitudes.
DOI: 10.6084/m9.figshare.20103155
title: Data: Fish biodiversity in tributary mouths in Ume- and Lule River

description: Data associated to a study on the fish biodiversity of tributary mouths in impounded boreal rivers in Sweden. <br> J. Näslund, R. Bowes, L. Sandin et al., Fish biodiversity in different types of tributary mouths located within impounded sections of Swedish boreal rivers, Ecohydrology & Hydrobiology, https://doi.org/10.1016/j.ecohyd.<br> 2022.11.004
DOI: 10.6084/m9.figshare.20103155.v1
title: Data: Fish biodiversity in tributary mouths in Ume- and Lule River

description: Data associated to a study on the fish biodiversity of tributary mouths in impounded boreal rivers in Sweden. <br> J. Näslund, R. Bowes, L. Sandin et al., Fish biodiversity in different types of tributary mouths located within impounded sections of Swedish boreal rivers, Ecohydrology & Hydrobiology, https://doi.org/10.1016/j.ecohyd.<br> 2022.11.004
DOI: 10.6084/m9.figshare.21603489
title: Naegleria Genomes: sequences annotations and pangenome matrix

description: Publication title: "<em>Naegleria</em> genus pangenome reveals new structural and functional insights into the versatility of these free-living amoebae"
DOI: 10.6084/m9.figshare.21603489.v5
title: Naegleria Genomes: sequences annotations and pangenome matrix

description: Publication title: "<em>Naegleria</em> genus pangenome reveals new structural and functional insights into the versatility of these free-living amoebae"
DOI: 10.6084/m9.figshare.21617482
title: ESM5_Tank Conditions_2019 from Branching coral morphology affects physiological performance in the absence of colony integration

description: Physical and chemical tank conditions used in 2019
DOI: 10.6084/m9.figshare.21617482.v1
title: ESM5_Tank Conditions_2019 from Branching coral morphology affects physiological performance in the absence of colony integration

description: Physical and chemical tank conditions used in 2019
DOI: 10.6084/m9.figshare.21617488
title: ESM3_Biology_Data.csv from Branching coral morphology affects physiological performance in the absence of colony integration

description: All biological data as a .csv file
DOI: 10.6084/m9.figshare.21617488.v1
title: ESM3_Biology_Data.csv from Branching coral morphology affects physiological performance in the absence of colony integration

description: All biological data as a .csv file
DOI: 10.6084/m9.figshare.21617491
title: ESM6_Tank Conditions_2022 from Branching coral morphology affects physiological performance in the absence of colony integration

description: Physical and chemical tank conditions used in 2022
DOI: 10.6084/m9.figshare.21617491.v1
title: ESM6_Tank Conditions_2022 from Branching coral morphology affects physiological performance in the absence of colony integration

description: Physical and chemical tank conditions used in 2022
DOI: 10.6084/m9.figshare.21617497
title: WSM4_Biology_Data_Analaysis.R from Branching coral morphology affects physiological performance in the absence of colony integration

description: R code necessary to repeat our statistical analyses
DOI: 10.6084/m9.figshare.21617497.v1
title: WSM4_Biology_Data_Analaysis.R from Branching coral morphology affects physiological performance in the absence of colony integration

description: R code necessary to repeat our statistical analyses
DOI: 10.6084/m9.figshare.21617500.v1
title: QSAR model to predict K<sub>p,uu,brain</sub> with a small dataset, incorporating predicted values of related parameter

description: The unbound brain-to-plasma concentration ratio (K<sub>p,uu,brain</sub>) is a parameter that indicates the extent of central nervous system penetration. Pharmaceutical companies build prediction models because many experiments are required to obtain K<sub>p,uu,brain</sub>. However, the lack of data hinders the design of an accurate prediction model. To construct a quantitative structure–activity relationship (QSAR) model with a small dataset of K<sub>p,uu,brain</sub>, we investigated whether the prediction accuracy could be improved by incorporating software-predicted brain penetration-related parameters (BPrPs) as explanatory variables for pharmacokinetic parameter prediction. We collected 88 compounds with experimental K<sub>p,uu,brain</sub> from various official publications. Random forest was used as the machine learning model. First, we developed prediction models using only structural descriptors. Second, we verified the predictive accuracy of each model with the predicted values of BPrPs incorporated in various combinations. Third, the K<sub>p,uu,brain</sub> of the in-house compounds was predicted and compared with the experimental values. The prediction accuracy was improved using five-fold cross-validation (RMSE = 0.455, <i>r</i><sup>2</sup> = 0.726) by incorporating BPrPs. Additionally, this model was verified using an external in-house dataset. The result suggested that using BPrPs as explanatory variables improve the prediction accuracy of the K<sub>p,uu,brain</sub> QSAR model when the available number of datasets is small.
DOI: 10.6084/m9.figshare.21617500
title: QSAR model to predict K<sub>p,uu,brain</sub> with a small dataset, incorporating predicted values of related parameter

description: The unbound brain-to-plasma concentration ratio (K<sub>p,uu,brain</sub>) is a parameter that indicates the extent of central nervous system penetration. Pharmaceutical companies build prediction models because many experiments are required to obtain K<sub>p,uu,brain</sub>. However, the lack of data hinders the design of an accurate prediction model. To construct a quantitative structure–activity relationship (QSAR) model with a small dataset of K<sub>p,uu,brain</sub>, we investigated whether the prediction accuracy could be improved by incorporating software-predicted brain penetration-related parameters (BPrPs) as explanatory variables for pharmacokinetic parameter prediction. We collected 88 compounds with experimental K<sub>p,uu,brain</sub> from various official publications. Random forest was used as the machine learning model. First, we developed prediction models using only structural descriptors. Second, we verified the predictive accuracy of each model with the predicted values of BPrPs incorporated in various combinations. Third, the K<sub>p,uu,brain</sub> of the in-house compounds was predicted and compared with the experimental values. The prediction accuracy was improved using five-fold cross-validation (RMSE = 0.455, <i>r</i><sup>2</sup> = 0.726) by incorporating BPrPs. Additionally, this model was verified using an external in-house dataset. The result suggested that using BPrPs as explanatory variables improve the prediction accuracy of the K<sub>p,uu,brain</sub> QSAR model when the available number of datasets is small.
DOI: 10.6084/m9.figshare.21617382
title: Fagopyrum genome assembly

description: The genome assembly sequence of <em>Fagopyrum esculentum </em>and <em>Fagopyrum tartaricum</em>.
DOI: 10.6084/m9.figshare.21617382.v2
title: Fagopyrum genome assembly

description: The genome assembly sequence of <em>Fagopyrum esculentum </em>and <em>Fagopyrum tartaricum</em>.
DOI: 10.5281/zenodo.7353866
title: Deep Subduction Versus Collision Cessation: The Fate of Continental Collisional Orogens

description: Deep Subduction Versus Collision Cessation: The Fate of Continental Collisional Orogens
DOI: 10.5281/zenodo.7354070
title: Deep Subduction Versus Collision Cessation: The Fate of Continental Collisional Orogens

description: Deep Subduction Versus Collision Cessation: The Fate of Continental Collisional Orogens
DOI: 10.34740/kaggle/dsv/4576290
title: AutoXGB