cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21482895.v1
title: Atta sexdens highres microCT

description: After CPD the heads were carefully mounted on the tip of a glass syringe using a hot glue gun. A nanotom m (GE Measurement & Control, Wunstorf, Germany), equipped with an X-ray cone beam setup was used for scanning. Magnifications were defined through geometrical relations based on the distances between sample, source and detector. The heads were scanned at a voltage of 110 kV, 120 μA current and 0.75 s exposure time at an averaging of 4, which resulted in a scanning time of 90 minutes and 1500 number of projections acquired during scan. The tomographic reconstruction was performed using the standard parameters offered by the phoenix datos|x 2.2 reconstruction software on a separate workstation. <em>A. sexdens</em> resulted in a voxel size of 3.111 µm.
DOI: 10.6084/m9.figshare.21482895
title: Atta sexdens highres microCT

description: After CPD the heads were carefully mounted on the tip of a glass syringe using a hot glue gun. A nanotom m (GE Measurement & Control, Wunstorf, Germany), equipped with an X-ray cone beam setup was used for scanning. Magnifications were defined through geometrical relations based on the distances between sample, source and detector. The heads were scanned at a voltage of 110 kV, 120 μA current and 0.75 s exposure time at an averaging of 4, which resulted in a scanning time of 90 minutes and 1500 number of projections acquired during scan. The tomographic reconstruction was performed using the standard parameters offered by the phoenix datos|x 2.2 reconstruction software on a separate workstation. <em>A. sexdens</em> resulted in a voxel size of 3.111 µm.
DOI: 10.34740/kaggle/dsv/4440952
title: BART Ridership
DOI: 10.6084/m9.figshare.21463119
title: The genome of Chrysanthemum indicum

description: Ci.genome.fa: Genome assembly file Ci.gff3: Gene annotation file Ci.cds.fa: Coding sequences of protein-coding genes Ci.pep.fa: Protein sequences of protein-coding genes
DOI: 10.5517/ccdc.csd.cc2cphyj
title: CCDC 2195418: Experimental Crystal Structure Determination

description: Related Article: Pushpendra Mani Shukla, Aniruddh Pratap, Biswajit Maji|2022|Org.Biomol.Chem.|20|8203|doi:10.1039/D2OB01447E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.26180/21482841
title: Dataset for Gravitational Pivoting

description: A set of CSV files containing the real-world collected data and ground truth dataset.
DOI: 10.6084/m9.figshare.21483438
title: Data Set for Dabai UVB for antioxidants-Yogabaanu Ulaganathan.pdf

description: Data set for FRAP, LPO,PC, GST &GSH
DOI: 10.6084/m9.figshare.21483438.v1
title: Data Set for Dabai UVB for antioxidants-Yogabaanu Ulaganathan.pdf

description: Data set for FRAP, LPO,PC, GST &GSH
DOI: 10.5517/ccdc.csd.cc2czg2x
title: CCDC 2204009: Experimental Crystal Structure Determination

description: Related Article: Mithilesh Kumar Nayak, Pallavi Sarkar, Benedict Josua Elvers, Sakshi Mehta, Fangyuan Zhang, Nicolas Chrysochos, Ivo Krummenacher, T. Vijayakanth, Ramakirushnan Surya Narayanan, Ramapada Dolai, Biswarup Roy, Vishal Malik, Hemant Rawat, Abhishake Mondal, Ramamoorthy Boomishankar, Swapan K. Pati, Holger Braunschweig, Carola Schulzke, Prince Ravat, Anukul Jana|2022|Chemical Science|13|12533|doi:10.1039/D2SC03937K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21483261.v1
title: Self-reliance_Kerala data_2022

description: This is the raw data from a case study conducted in Kerala. Data consists of transcriptions of in-depth interviews with farmers
DOI: 10.6084/m9.figshare.21483261
title: Self-reliance_Kerala data_2022

description: This is the raw data from a case study conducted in Kerala. Data consists of transcriptions of in-depth interviews with farmers
DOI: 10.5281/zenodo.6388383
title: Global spatiotemporal continuous high-resolution total column carbon monoxide for TROPOMI

description: A brand-new framework is proposed to recover the missing values of total column carbon monoxide for TROPOMI (2018.06-2021.05). Evaluation results show that the proposed framework presents a satisfactory performance over the globe, with the Rs of 0.885 and 0.918 against NDACC and TCCON (XCO) measurements, respectively.
DOI: 10.6084/m9.figshare.19744933.v11
title: Chatbot Ai-aun

description: Chatbot Ai-aun
DOI: 10.25919/xd4e-b034
title: Particle number (CN3) hourly medians measured at Kennaook Cape Grim 1977 to 2007 using the Automated Pollack Counter

description: This data set is the record of hourly median number concentration for particles greater than 3 nm in diameter (CN3) measured at the Kennaook Cape Grim Baseline Air Pollution Monitoring Station (KCGBAPS) between 1977 and 2007. The KCGBAPS is located on the northwest tip of Tasmania (40.6833° S, 144.6833° E). Commencing operations in 1976, and in its current facilities since 1981, the Baseline Air Pollution Station at Kennaook Cape Grim is Australia’s contribution to international efforts for monitoring the global background atmosphere for trends due to human activities and natural variability. Subsets of these data have been described in Bigg et al. (1984), Gras (1990a), Gras (1990b), Gras and Whittlestone (1992), Gras (1995), Gras and Keywood (2017). See KCGBAPS_CN3_Pollack_1977_2007_README.pdf for references and details of measurement method
DOI: 10.25919/bzkn-pq93
title: Cloud Condensation Nuclei concentration (CCN) monthly medians measured at Kennaook Cape Grim 1981 to 2002 using the static thermal diffusion chamber

description: This data set is the record of monthly median number concentration for cloud condensation nuclei active at 1.2%, 0.96%, 0.71%, 0.47% and 0.23% measured at the Kennaook Cape Grim Baseline Air Pollution Monitoring Station (KCGBAPS) between 1981 and 2002. The KCGBAPS is located on the northwest tip of Tasmania (40.6833° S, 144.6833° E). Commencing operations in 1976, and in its current facilities since 1981, the Baseline Air Pollution Station at Kennaook Cape Grim is Australia’s contribution to international efforts for monitoring the global background atmosphere for trends due to human activities and natural variability. The data published here are the monthly medians under baseline conditions (i.e. when wind direction measured at 10 m was in the 190°to 280° ‘baseline’ sector. Daily mean spectra were calculated from a minimum of three daily spectra, and the monthly medians are determined from the daily means calculated from manual measurements. The number of baseline spectra included in each monthly medium are also published with the data set. For some months the number of baseline spectra is small; a factor that should be taken into account when using these data. Usually the cause for few spectra is a combination of the manual operation of the CCN counter and a low baseline frequency. In cases where no baseline spectra were recorded in a month the NAN are included in the data set. Subsets of these data have been described in Ayers and Gras (1991), Ayers et al. (1997), Boers et al., (1994), Gras (1990), Gras (1995) and Gras and Keywood (2017). See KCGBAPS_CCN_Static_Thermal_Diffusion_Chamber_1981_2002_README.pdf for references
DOI: 10.5281/zenodo.7275518
title: Table S1. Full factorial combination of laser process parameters and experimental results.

description: This dataset is experimental results from a research topic of A robust artificial intelligence-based method for predicting and optimizing cut quality of curved laser cutting of electrical steel sheet.
DOI: 10.5281/zenodo.7275517
title: Table S1. Full factorial combination of laser process parameters and experimental results.

description: This dataset is experimental results from a research topic of A robust artificial intelligence-based method for predicting and optimizing cut quality of curved laser cutting of electrical steel sheet.
DOI: 10.6084/m9.figshare.21482955
title: YH29407(20221103)

description: TCR-, RNA-sequencing dataset and R CODE.
DOI: 10.6084/m9.figshare.21482955.v1
title: YH29407(20221103)

description: TCR-, RNA-sequencing dataset and R CODE.
DOI: 10.5281/zenodo.7134962
title: Conceptual Understanding: "What is Studentd Spatial Thinking Design in Geometry Learning?"

description: Data for Classification indicators of spatial thinking. The change of paradigms in national assessment in 2021 became a particular issue for teachers in improving student competencies. The main issue encountered by teacher is the way to improve student competencies in mathematic learning, especially in geometry. This writing is aimed to outline spatial thinking indicators with six relevant background components of realistic geometry, and to describe students' spatial spatial thinking design to acquire a geometric comprehension by using google sketch-up. The spatial thinking indicators are outluned with six background components of realistic geometry by using explanatory factor analysis (EFA) with JASP software 0.15.0.0. The acquires research results show the correlations between sighting and projecting, orienting and locating, transforming, constructing and drawing, measuring and calculation, and spatial reasoning variables. Spatial thinking indicators are outlined in six component groups of realistic geometry. The results ca be used as the consideration for teachers in identifying students conceptual understanding to support the improvement of student competencies.
DOI: 10.5281/zenodo.7226316
title: Conceptual Understanding: "What is Studentd Spatial Thinking Design in Geometry Learning?"

description: Data for Classification indicators of spatial thinking. The change of paradigms in national assessment in 2021 became a particular issue for teachers in improving student competencies. The main issue encountered by teacher is the way to improve student competencies in mathematic learning, especially in geometry. This writing is aimed to outline spatial thinking indicators with six relevant background components of realistic geometry, and to describe students' spatial spatial thinking design to acquire a geometric comprehension by using google sketch-up. The spatial thinking indicators are outluned with six background components of realistic geometry by using explanatory factor analysis (EFA) with JASP software 0.15.0.0. The acquires research results show the correlations between sighting and projecting, orienting and locating, transforming, constructing and drawing, measuring and calculation, and spatial reasoning variables. Spatial thinking indicators are outlined in six component groups of realistic geometry. The results ca be used as the consideration for teachers in identifying students conceptual understanding to support the improvement of student competencies.
DOI: 10.5281/zenodo.7134961
title: Conceptual Understanding: "What is Studentd Spatial Thinking Design in Geometry Learning?"

description: Data for Classification indicators of spatial thinking. The change of paradigms in national assessment in 2021 became a particular issue for teachers in improving student competencies. The main issue encountered by teacher is the way to improve student competencies in mathematic learning, especially in geometry. This writing is aimed to outline spatial thinking indicators with six relevant background components of realistic geometry, and to describe students' spatial spatial thinking design to acquire a geometric comprehension by using google sketch-up. The spatial thinking indicators are outluned with six background components of realistic geometry by using explanatory factor analysis (EFA) with JASP software 0.15.0.0. The acquires research results show the correlations between sighting and projecting, orienting and locating, transforming, constructing and drawing, measuring and calculation, and spatial reasoning variables. Spatial thinking indicators are outlined in six component groups of realistic geometry. The results ca be used as the consideration for teachers in identifying students conceptual understanding to support the improvement of student competencies.
DOI: 10.5281/zenodo.7275027
title: Conceptual Understanding: "What is Studentd Spatial Thinking Design in Geometry Learning?"

description: Data for Classification indicators of spatial thinking. The change of paradigms in national assessment in 2021 became a particular issue for teachers in improving student competencies. The main issue encountered by teacher is the way to improve student competencies in mathematic learning, especially in geometry. This writing is aimed to outline spatial thinking indicators with six relevant background components of realistic geometry, and to describe students' spatial spatial thinking design to acquire a geometric comprehension by using google sketch-up. The spatial thinking indicators are outluned with six background components of realistic geometry by using explanatory factor analysis (EFA) with JASP software 0.15.0.0. The acquires research results show the correlations between sighting and projecting, orienting and locating, transforming, constructing and drawing, measuring and calculation, and spatial reasoning variables. Spatial thinking indicators are outlined in six component groups of realistic geometry. The results ca be used as the consideration for teachers in identifying students conceptual understanding to support the improvement of student competencies.
DOI: 10.5517/ccdc.csd.cc2d78lj
title: CCDC 2211527: Experimental Crystal Structure Determination

description: Related Article: P. Priyanka, B.K. Jayanna, Vinaya, H.J. Shankara Prasad, T.R. Divakara, H.S. Yathirajan, S. Parkin|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|1127|doi:10.1107/S2056989022009835
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7275609
title: CGANs trained model

description: CGANs trained model for Monte Carlo sampling
DOI: 10.5281/zenodo.7275608
title: CGANs trained model

description: CGANs trained model for Monte Carlo sampling
DOI: 10.5281/zenodo.7275629
title: Protocol - Systematic Literature Review

description: The full protocol used in our Systematic Literature Review of Fault Tolerance and Security Techniques for Smart Cities Applications.
DOI: 10.5281/zenodo.7275628
title: Protocol - Systematic Literature Review

description: The full protocol used in our Systematic Literature Review of Fault Tolerance and Security Techniques for Smart Cities Applications.
DOI: 10.25442/hku.21433548.v1
title: Whole-genome sequencing and comprehensive molecular profiling identify new driver mutations in gastric cancer

description: Gastric cancer is a heterogeneous disease with diverse molecular and histological subtypes. We performed whole-genome sequencing in 100 tumor-normal pairs, along with DNA copy number, gene expression and methylation profiling, for integrative genomic analysis. We found subtype-specific genetic and epigenetic perturbations and unique mutational signatures. We identified previously known (<em>TP53</em>, <em>ARID1A</em> and <em>CDH1</em>) and new (<em>MUC6</em>, <em>CTNNA2</em>, <em>GLI3</em>, <em>RNF43</em> and others) significantly mutated driver genes. Specifically, we found <em>RHOA</em> mutations in 14.3% of diffuse-type tumors but not in intestinal-type tumors (<em>P</em> &lt; 0.001). The mutations clustered in recurrent hotspots affecting functional domains and caused defective RHOA signaling, promoting escape from anoikis in organoid cultures. The top perturbed pathways in gastric cancer included adherens junction and focal adhesion, in which <em>RHOA</em> and other mutated genes we identified participate as key players. These findings illustrate a multidimensional and comprehensive genomic landscape that highlights the molecular complexity of gastric cancer and provides a road map to facilitate genome-guided personalized therapy.
DOI: 10.5281/zenodo.4105911
title: Small RNA-seq data from leaf, stem trichomes, bald stems and leaf primordiums from different tomato genetic backgrounds

description: <strong>Description</strong> Various tissues of cultivated and wild tomato genotypes were harvested. Trichomes are stem trichomes (isolated from the stem of tomatoes). <strong>RNA isolation</strong> To isolate RNA, plant tissues were flash frozen in liquid nitrogen immediately after harvesting and stored at −80°C prior to RNA extraction. Frozen pellets were grounded by using a mortar and pestle before immersion in QIAzol Lysis Reagent (Qiagen). RNA was isolated and purified into two separate fractions (&gt;200 nt and &lt;200 nt) using the miRNeasy Mini kit (Qiagen). For the &gt;200 nt RNA an on-column treatment was included using the RNase-free DNase set (Qiagen). <strong>Small RNA-Seq</strong> Small RNA-Seq libraries were generated from the &lt;200 nt RNA fraction according to the manufacturers’ protocols using the Small RNA-Seq Library Prep Kit (Lexogen). The size distribution of the libraries with indexed adapters was assessed using a 2200 TapeStation System with Agilent D1000 ScreenTapes (Agilent Technologies). The libraries were quantified on a QuantStudio 3 Real-Time PCR System (Thermo Fisher Scientific) using the NEBNext Library Quant Kit for Illumina (New England BioLabs) according to the instructions of the manufacturer. The libraries were clustered and sequenced (75 bp) on a NextSeq 550 Sequencing System (Illumina) using a NextSeq 500/550 High Output Kit v2.5 (75 Cycles) (Illumina). <strong>The list of samples</strong> is available in the sample_list.csv file. Myc-1 stands for a knock-out mutant of the MYC1 gene (Solyc08g005050). The line full name is MS5-4. Pik is an introgression line containing a fragment of chromosome 1 from <em>S. habrochaites</em> PI127826 into a MicroTom genetic background. <strong>Pooled samples</strong> Some samples corresponding to the same tomato genotype and tissue were pooled altogether and are also available in fastq format. <pre><code class="language-markdown">| species | genotype | pool_of | tissue | file | reads | |--------------|------------|---------------|----------------|----------|----------| | habrochaites | PI127826 | S01, S02, S03 | trichomes | PI127826.fastq.gz | 16,539,495 | | lycopersicum | Moneymaker | S04, S05, S06 | trichomes | Moneymaker.fastq.gz | 11,539,748 | | habrochaites | LYC4 | S07, S08, S25 | trichomes | LYC4.fastq.gz | 15,980,718 | | lycopersicum | LA4024 | S10, S11, S12 | trichomes | LA4024.fastq.gz | 13,888,953 | | habrochaites | LA1777 | S13, S14, S15 | trichomes | LA1777.fastq.gz | 14,136,265 | | pennellii | LA0716 | S19, S20, S21 | trichomes | LA0716.fastq.gz | 14,045,182 |</code></pre>
DOI: 10.5281/zenodo.4326954
title: Small RNA-seq data from leaf, stem trichomes, bald stems and leaf primordiums from different tomato genetic backgrounds

description: <strong>Description</strong> Various tissues of cultivated and wild tomato genotypes were harvested. Trichomes are stem trichomes (isolated from the stem of tomatoes). <strong>RNA isolation</strong> To isolate RNA, plant tissues were flash frozen in liquid nitrogen immediately after harvesting and stored at −80°C prior to RNA extraction. Frozen pellets were grounded by using a mortar and pestle before immersion in QIAzol Lysis Reagent (Qiagen). RNA was isolated and purified into two separate fractions (&gt;200 nt and &lt;200 nt) using the miRNeasy Mini kit (Qiagen). For the &gt;200 nt RNA an on-column treatment was included using the RNase-free DNase set (Qiagen). <strong>Small RNA-Seq</strong> Small RNA-Seq libraries were generated from the &lt;200 nt RNA fraction according to the manufacturers’ protocols using the Small RNA-Seq Library Prep Kit (Lexogen). The size distribution of the libraries with indexed adapters was assessed using a 2200 TapeStation System with Agilent D1000 ScreenTapes (Agilent Technologies). The libraries were quantified on a QuantStudio 3 Real-Time PCR System (Thermo Fisher Scientific) using the NEBNext Library Quant Kit for Illumina (New England BioLabs) according to the instructions of the manufacturer. The libraries were clustered and sequenced (75 bp) on a NextSeq 550 Sequencing System (Illumina) using a NextSeq 500/550 High Output Kit v2.5 (75 Cycles) (Illumina). <strong>The list of samples</strong> is available in the sample_list.csv file. Myc-1 stands for a knock-out mutant of the MYC1 gene (Solyc08g005050). The line full name is MS5-4. Pik is an introgression line containing a fragment of chromosome 1 from <em>S. habrochaites</em> PI127826 into a MicroTom genetic background. <strong>Pooled samples</strong> Some samples corresponding to the same tomato genotype and tissue were pooled altogether and are also available in fastq format. <pre><code class="language-markdown">| species | genotype | pool_of | tissue | file | reads | |--------------|------------|---------------|----------------|----------|----------| | habrochaites | PI127826 | S01, S02, S03 | trichomes | PI127826.fastq.gz | 16,539,495 | | lycopersicum | Moneymaker | S04, S05, S06 | trichomes | Moneymaker.fastq.gz | 11,539,748 | | habrochaites | LYC4 | S07, S08, S25 | trichomes | LYC4.fastq.gz | 15,980,718 | | lycopersicum | LA4024 | S10, S11, S12 | trichomes | LA4024.fastq.gz | 13,888,953 | | habrochaites | LA1777 | S13, S14, S15 | trichomes | LA1777.fastq.gz | 14,136,265 | | pennellii | LA0716 | S19, S20, S21 | trichomes | LA0716.fastq.gz | 14,045,182 |</code></pre>
DOI: 10.26093/cds/vizier.18860048
title: Radio & opt/NIR counterparts of S2COSMOS submm galaxies

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Multi-wavelength properties of radio- and machine-learning-identified counterparts to submillimeter sources in S2COSMOS.' (bibcode: 2019ApJ...886...48A)
DOI: 10.5281/zenodo.437878
title: Nirs Mosquito Aging Dataset And Scripts

description: The datasets zip contains the spreadsheets with the spectral data for each of the 6 sample groups and the three test sets.

The R and Matlab scripts zip contains the code necessary to replicate the analysis.
DOI: 10.5281/zenodo.6224960
title: Electrical parameters of photovoltaic panel from RGB images

description: Electrical parameters of photovoltaic panel from RGB images