cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5683/sp3/nhy3w3
title: Avadlek Spit -- Herschel Island -- UAV Photogrammetry -- Orthomosaic -- 2022

description: This data set contains the orthomosaic imagery created from the photogrammetric data collected of Avadlek Spit, June 2022. The data was collected by the Capture2Preserv Team and the Yukon Government with the Sensefly Ebee Geo Fixed Wing Drone and Sensefly's eMotion software. The data was processed in Pix4D Mapper.
DOI: 10.5517/ccdc.csd.cc2cb5d9
title: CCDC 2184520: Experimental Crystal Structure Determination

description: Related Article: Ajijur Rahaman|2022|CSD Communication|||
description: Related Article: Ajijur Rahaman, Rupali Dasharath Shinde, Sukalyan Bhadra|2023|J.Org.Chem.|88|1884|doi:10.1021/acs.joc.2c02584
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: 10.5517/ccdc.csd.cc2cnkl6
title: CCDC 2194508: Experimental Crystal Structure Determination

description: Related Article: Ajijur Rahaman|2022|CSD Communication|||
description: Related Article: Ajijur Rahaman, Rupali Dasharath Shinde, Sukalyan Bhadra|2023|J.Org.Chem.|88|1884|doi:10.1021/acs.joc.2c02584
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: 10.5517/ccdc.csd.cc2d0g85
title: CCDC 2204976: Experimental Crystal Structure Determination

description: Related Article: Debobrata Paul, Joel T. Mague, Shyam Sathyamoorthi|2023|J.Org.Chem.|88|1445|doi:10.1021/acs.joc.2c02346
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.7645203
title: Dataset and 3D Vs Model for "Crustal velocity images of north-western Türkiye along the North Anatolian Fault Zone from transdimensional Bayesian ambient seismic noise tomography"

description: Final 3D Vs model and dispersion data for the paper entitled "Crustal velocity images of north-western Türkiye along the North Anatolian Fault Zone from transdimensional Bayesian ambient seismic noise tomography". In the vel_files folder, there are 10 files for each depth for 1-15 km. The format of each velocity file is as follows: Column Value<br> 1 Lattitude (°)<br> 2 Longitude (°)<br> 3 Vs (km/s) The format of the dispersion data is as follows (See Computer Programs in Seismology Tutorials - do_mft for more information on the format): Column Value<br> 1 Type of file, MFT96<br> 2 Wave type: R for Rayleigh <br> 3 Dispersion type: U for group velocity<br> 4 Mode: 0 represents the fundamental mode<br> 5 Filter period, T, in seconds<br> 6 Dispersion value, either group or phase<br> 7 Error in dispersion. This is just a place holder since there is no way to estimate an error from a single trace. The group velocity error is determined from the ratio of the filter period to travel time<br> 8 Distance in km<br> 9 Azimuth from the source to the receiver<br> 10 Spectral amplitude. <br> 11 Epicenter latitude <br> 12 Epicenter longitude<br> 13 Station latitude<br> 14 Station longitude<br> 15 control flag<br> 16 control flag<br> 17 Instantaneous period if this is preferred. This differs from the ilter period because the signal spectram is not flat.<br> 18 Comment: keyword<br> 19 Station <br> 20 Component<br> 21 Year<br> 22 Day of year<br> 23 Hour<br> 24 Minute - these identify the event origin time
DOI: 10.6084/m9.figshare.19793563
title: Cellular atlases of ovarian microenvironment alterations by diet and genetically-induced obesity

description: File NCD.gem is the spatial data from Stereo-seq of normal chow dite (NCD) mice. File HFD.gem is the spatial data from Stereo-seq of high-fat diet (HFD) mice. File OB.gem is the spatial data from Stereo-seq of ob/ob mice. <br> <br> File SnRNA-seq NCD.zip is the single-nucleus RNA sequencing data of NCD mice. File SnRNA-seq HFD.zip is the single-nucleus RNA sequencing data of HFD mice. File SnRNA-seq OB.zip is the single-nucleus RNA sequencing data of ob/ob mice. <br>
DOI: 10.6084/m9.figshare.14420342
title: SURVEY - Using Artificial Intelligence/Machine Learning in Software Engineering

description: This Survey is part of the project entitled "Machine Learning in the context of Software Engineering in Startups," in partnership with the universities PUCRS (Pontifical Catholic University of Rio Grande do Sul - Brazil) and LUT (Lappeenrannan-Lahden Teknillinen Yliopisto LUT - Finland).
DOI: 10.6084/m9.figshare.14420342.v2
title: SURVEY - Using Artificial Intelligence/Machine Learning in Software Engineering

description: This Survey is part of the project entitled "Machine Learning in the context of Software Engineering in Startups," in partnership with the universities PUCRS (Pontifical Catholic University of Rio Grande do Sul - Brazil) and LUT (Lappeenrannan-Lahden Teknillinen Yliopisto LUT - Finland).
DOI: 10.6084/m9.figshare.14420342.v3
title: SURVEY - Using Artificial Intelligence/Machine Learning in Software Engineering

description: This Survey is part of the project entitled "Machine Learning in the context of Software Engineering in Startups," in partnership with the universities PUCRS (Pontifical Catholic University of Rio Grande do Sul - Brazil) and LUT (Lappeenrannan-Lahden Teknillinen Yliopisto LUT - Finland).
DOI: 10.6084/m9.figshare.22114670
title: Data 29_9

description: Compliance measurement with the steel holders and the rig rotated. The data is more of a rig verification, thus nothing very interesting was found is presented here <br> 1.Relaxation test with laser sensors on steel holders (Data 13_14) <br> 2. Lower sensors change when the half-ring connection is touched (Data 13_14) <br> 3.Test shows how the plates contact during loading and unloading (Data 16_9) <br> 4. Compaction of 1 fabric stack with good results (Data 16_9) <br> 5.The speed rate measured by the laser sensors is compared to the Crosshead speed rate (Data 16_9, Data 17_9)
DOI: 10.6084/m9.figshare.22114670.v1
title: Data 29_9

description: Compliance measurement with the steel holders and the rig rotated. The data is more of a rig verification, thus nothing very interesting was found is presented here <br> 1.Relaxation test with laser sensors on steel holders (Data 13_14) <br> 2. Lower sensors change when the half-ring connection is touched (Data 13_14) <br> 3.Test shows how the plates contact during loading and unloading (Data 16_9) <br> 4. Compaction of 1 fabric stack with good results (Data 16_9) <br> 5.The speed rate measured by the laser sensors is compared to the Crosshead speed rate (Data 16_9, Data 17_9)
DOI: 10.5683/sp2/ilrl3z
title: Small House No.12 -- Herschel Island -- Laser Scanning -- Metadata -- 2019

description: This data set contains the metadata for the eighteen (18) scans of the Small House No.12. All data was collected by the Capture2Presev team. There are thirteen (13) exterior scans and six (6) interior scans. All scans were collected with the Leica BLK 360 on July 18, 2019 and registered and processed with AutoDesk Recap V. 6.1.
DOI: 10.6084/m9.figshare.19624281
title: Biotechnological interventions for improving the seed longevity in cereal crops: progress and prospects

description: Seed longevity is a measure of the viability of seeds during long-term storage and is crucial for germplasm conservation and crop improvement programs. Also, longevity is an important trait for ensuring food and nutritional security. Thus, a better understanding of various factors regulating seed longevity is requisite to improve this trait and to minimize the genetic drift during the regeneration of germplasm. In particular, seed deterioration of cereal crops during storage adversely affects agricultural productivity and food security. The irreversible process of seed deterioration involves a complex interplay between different genes and regulatory pathways leading to: loss of DNA integrity, membrane damage, inactivation of storage enzymes and mitochondrial dysfunction. Identifying the genetic determinants of seed longevity and manipulating them using biotechnological tools hold the key to ensuring prolonged seed storage. Genetics and genomics approaches had identified several genomic regions regulating the longevity trait in major cereals such as: rice, wheat, maize and barley. However, very few studies are available in other Poaceae members, including millets. Deploying omics tools, including genomics, proteomics, metabolomics, and phenomics, and integrating the datasets will pinpoint the precise molecular determinants affecting the survivability of seeds. Given this, the present review enumerates the genetic factors regulating longevity and demonstrates the importance of integrated omics strategies to dissect the molecular machinery underlying seed deterioration. Further, the review provides a roadmap for deploying biotechnological approaches to manipulate the genes and genomic regions to develop improved cultivars with prolonged storage potential.
DOI: 10.6084/m9.figshare.19624281.v1
title: Biotechnological interventions for improving the seed longevity in cereal crops: progress and prospects

description: Seed longevity is a measure of the viability of seeds during long-term storage and is crucial for germplasm conservation and crop improvement programs. Also, longevity is an important trait for ensuring food and nutritional security. Thus, a better understanding of various factors regulating seed longevity is requisite to improve this trait and to minimize the genetic drift during the regeneration of germplasm. In particular, seed deterioration of cereal crops during storage adversely affects agricultural productivity and food security. The irreversible process of seed deterioration involves a complex interplay between different genes and regulatory pathways leading to: loss of DNA integrity, membrane damage, inactivation of storage enzymes and mitochondrial dysfunction. Identifying the genetic determinants of seed longevity and manipulating them using biotechnological tools hold the key to ensuring prolonged seed storage. Genetics and genomics approaches had identified several genomic regions regulating the longevity trait in major cereals such as: rice, wheat, maize and barley. However, very few studies are available in other Poaceae members, including millets. Deploying omics tools, including genomics, proteomics, metabolomics, and phenomics, and integrating the datasets will pinpoint the precise molecular determinants affecting the survivability of seeds. Given this, the present review enumerates the genetic factors regulating longevity and demonstrates the importance of integrated omics strategies to dissect the molecular machinery underlying seed deterioration. Further, the review provides a roadmap for deploying biotechnological approaches to manipulate the genes and genomic regions to develop improved cultivars with prolonged storage potential.
DOI: 10.25345/c5jw86x6z
title: MassIVE MSV000091302 - Insights into pulmonary phosphate homeostasis and osteoclastogenesis emerge from the study of pulmonary alveolar microlithiasis
title: Pulmonary alveolar microlithiasis is an autosomal recessive lung disease caused by a deficiency in the pulmonary epithelial Npt2b sodium-phosphate co-transporter that results in accumulation of phosphate and formation of hydroxyapatite microliths in the alveolar space. The single cell transcriptomic analysis of a pulmonary alveolar microlithiasis lung explant showing a robust osteoclast gene signature in alveolar monocytes and the finding that calcium phosphate microliths contain a rich protein and lipid matrix that includes bone resorbing osteoclast enzymes and other proteins suggested a role for osteoclast-like cells in the host response to microliths. While investigating the mechanisms of microlith clearance, we found that Npt2b modulates pulmonary phosphate homeostasis through effects on alternative phosphate transporter activity and alveolar osteoprotegerin, and that microliths induce osteoclast formation and activation in a receptor activator of nuclear factor kappa B (NF-kB) ligand and dietary phosphate dependent manner. This work reveals that Npt2b and pulmonary osteoclast like cells play key roles in pulmonary homeostasis and suggest potential new therapeutic targets for the treatment of lung disease.
DOI: 10.6084/m9.figshare.20151466.v1
title: Isolation and characterisation of pharmaceutically versatile molecules from <i>Rumex dentatus</i> and evaluation of their cytotoxic activity against human cancer cell lines

description: The disclosed study reveals isolation, characterization and anticancer evaluation of <i>Rumex dentatus</i>. The extracts and isolated compounds were used for cytotoxic activity against (lung (A549), pancreatic (MIAPaCa), colon (HCT-116), breast (MDA-MB-231) and breast (MDA-MB-468) cell lines. The extracts were screened for cytotoxicity using MTT colorimetric assay. Out of all extracts, methanolic (30) %: chloroform fraction (TAW6) with 75.01% inhibition at a concentration 100 µg/mL was observed. The selected extracts were further processed for column chromatography and led to isolation of seven compounds (A to G). The structural determination of isolated compounds was carried out using <sup>1</sup>HNMR, <sup>13</sup>CNMR, IR and HRMS. All the isolates were tested for cytotoxic activity and compound B was found most active with IC<sub>50</sub> values 11.29 µg against HCT-116 (Colon). The compound B was then used for detailed study via <i>transwell invasion assay</i> and <i>wound healing assay</i>. Thus the significant anticancer activity particularly against colon cancerous cell lines recommends that the (<i>Rumex dentatus)</i> could act as a potential drug candidate for cancer, more particularly for colon cancer.
DOI: 10.6084/m9.figshare.20151466
title: Isolation and characterisation of pharmaceutically versatile molecules from <i>Rumex dentatus</i> and evaluation of their cytotoxic activity against human cancer cell lines

description: The disclosed study reveals isolation, characterization and anticancer evaluation of <i>Rumex dentatus</i>. The extracts and isolated compounds were used for cytotoxic activity against (lung (A549), pancreatic (MIAPaCa), colon (HCT-116), breast (MDA-MB-231) and breast (MDA-MB-468) cell lines. The extracts were screened for cytotoxicity using MTT colorimetric assay. Out of all extracts, methanolic (30) %: chloroform fraction (TAW6) with 75.01% inhibition at a concentration 100 µg/mL was observed. The selected extracts were further processed for column chromatography and led to isolation of seven compounds (A to G). The structural determination of isolated compounds was carried out using <sup>1</sup>HNMR, <sup>13</sup>CNMR, IR and HRMS. All the isolates were tested for cytotoxic activity and compound B was found most active with IC<sub>50</sub> values 11.29 µg against HCT-116 (Colon). The compound B was then used for detailed study via <i>transwell invasion assay</i> and <i>wound healing assay</i>. Thus the significant anticancer activity particularly against colon cancerous cell lines recommends that the (<i>Rumex dentatus)</i> could act as a potential drug candidate for cancer, more particularly for colon cancer.
DOI: 10.34740/kaggle/dsv/5012585
title: OntoUML/UFO Catalog
DOI: 10.5281/zenodo.7192653
title: jazznet: A Dataset of Fundamental Piano Patterns for Music Audio Machine Learning Research

description: Jazznet is a dataset of piano patterns for music audio machine learning research. The dataset comprises chords, arpeggios, scales, and chord progressions in all keys of an 88-key piano and in all the inversions, for a total of 162520 labeled piano patterns, resulting in 95GB of data and more than 26k hours of audio. The data is also accompanied by Python scripts to enable the easy generation of new piano patterns beyond those present in the dataset. The data is broken down into small, medium, and large subsets, comprising 21516, 30328, and 52360 patterns, respectively (with all the chords, arpeggios, and scales being present in all subsets). The GitHub page of the dataset, containing details of the dataset and scripts for generating new data is https://github.com/tosiron/jazznet.
DOI: 10.5281/zenodo.7192652
title: jazznet: A Dataset of Fundamental Piano Patterns for Music Audio Machine Learning Research

description: Jazznet is a dataset of piano patterns for music audio machine learning research. The dataset comprises chords, arpeggios, scales, and chord progressions in all keys of an 88-key piano and in all the inversions, for a total of 162520 labeled piano patterns, resulting in 95GB of data and more than 26k hours of audio. The data is also accompanied by Python scripts to enable the easy generation of new piano patterns beyond those present in the dataset. The data is broken down into small, medium, and large subsets, comprising 21516, 30328, and 52360 patterns, respectively (with all the chords, arpeggios, and scales being present in all subsets). The GitHub page of the dataset, containing details of the dataset and scripts for generating new data is https://github.com/tosiron/jazznet.
DOI: 10.5281/zenodo.7647761
title: Data files for A "Boreing" Night of Observations of the Upper Mesosphere and Lower Thermosphere Over the Andes Lidar Observatory

description: The files in this set are data obtained from the ANI2 airglow imager located at the Andes Lidar Observatory.in Chile (30.23S, 70.73W, 2530 m). The files are named for a JGR paper by J. Hecht et al. entitled A "Boreing" Night of Observations of the UpperMesosphere and Lower Thermosphere Over the Andes Lidar Observatory. The files are published here so as to be available for review. This paper should appear in JGR Atmospheres sometime in late 2023 or early 2024. The files that are text files are meant to be read with IDL as discussed in the readme file.
DOI: 10.5281/zenodo.7647760
title: Data files for A "Boreing" Night of Observations of the Upper Mesosphere and Lower Thermosphere Over the Andes Lidar Observatory

description: The files in this set are data obtained from the ANI2 airglow imager located at the Andes Lidar Observatory.in Chile (30.23S, 70.73W, 2530 m). The files are named for a JGR paper by J. Hecht et al. entitled A "Boreing" Night of Observations of the UpperMesosphere and Lower Thermosphere Over the Andes Lidar Observatory. The files are published here so as to be available for review. This paper should appear in JGR Atmospheres sometime in late 2023 or early 2024. The files that are text files are meant to be read with IDL as discussed in the readme file.
DOI: 10.5281/zenodo.7647748
title: Gene-environment interaction explains a part of missing heritability in human body mass index

description: Gene-environment (G×E) interaction could partially explain missing heritability in traits; however, the magnitudes of G×E interaction effects remain unclear. Here, we estimate the heritability of G×E interaction for body mass index (BMI) by subjecting genome-wide interaction study data of 331,282 participants in the UK Biobank to linkage disequilibrium score regression (LDSC) and linkage disequilibrium adjusted kinships–software for estimating SNP heritability from summary statistics (LDAK-SumHer) analyses. Among 14 obesity-related lifestyle factors, MET score, pack years of smoking, and alcohol intake frequency significantly interact with genetic factors in both analyses, accounting for the partial variance of BMI. The G×E interaction heritability (%) and standard error of these factors by LDSC and LDAK-SumHer are as follows: MET score, 0.45% (0.12) and 0.65% (0.24); pack years of smoking, 0.52% (0.13) and 0.93% (0.26); and alcohol intake frequency, 0.32% (0.10) and 0.80% (0.17), respectively. Moreover, these three factors are partially validated for their interactions with genetic factors in other obesity-related traits, including waist circumference, hip circumference, waist-to-hip ratio adjusted with BMI, and body fat percentage. Our results suggest that G×E interaction may partly explain the missing heritability in BMI, and two G×E interaction loci identified could help in understanding the genetic architecture of obesity.
DOI: 10.5281/zenodo.7647747
title: Gene-environment interaction explains a part of missing heritability in human body mass index

description: Gene-environment (G×E) interaction could partially explain missing heritability in traits; however, the magnitudes of G×E interaction effects remain unclear. Here, we estimate the heritability of G×E interaction for body mass index (BMI) by subjecting genome-wide interaction study data of 331,282 participants in the UK Biobank to linkage disequilibrium score regression (LDSC) and linkage disequilibrium adjusted kinships–software for estimating SNP heritability from summary statistics (LDAK-SumHer) analyses. Among 14 obesity-related lifestyle factors, MET score, pack years of smoking, and alcohol intake frequency significantly interact with genetic factors in both analyses, accounting for the partial variance of BMI. The G×E interaction heritability (%) and standard error of these factors by LDSC and LDAK-SumHer are as follows: MET score, 0.45% (0.12) and 0.65% (0.24); pack years of smoking, 0.52% (0.13) and 0.93% (0.26); and alcohol intake frequency, 0.32% (0.10) and 0.80% (0.17), respectively. Moreover, these three factors are partially validated for their interactions with genetic factors in other obesity-related traits, including waist circumference, hip circumference, waist-to-hip ratio adjusted with BMI, and body fat percentage. Our results suggest that G×E interaction may partly explain the missing heritability in BMI, and two G×E interaction loci identified could help in understanding the genetic architecture of obesity.
DOI: 10.6084/m9.figshare.22045091.v4
title: The mechanism of emodin inhibits cell proliferation and EMT in human neuroblastoma SH-SY5Y cells

description: The experiment results of emodin in neuroblastoma SH-SY5Y cells.
DOI: 10.5517/ccdc.csd.cc2d6tk0
title: CCDC 2211092: Experimental Crystal Structure Determination

description: Related Article: Shuo Li, Xian Xu, Qianlin Sun, Xin Xu|2023|J.Org.Chem.|88|1742|doi:10.1021/acs.joc.2c02800
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: 10.5517/ccdc.csd.cc2d6tl1
title: CCDC 2211093: Experimental Crystal Structure Determination

description: Related Article: Shuo Li, Xian Xu, Qianlin Sun, Xin Xu|2023|J.Org.Chem.|88|1742|doi:10.1021/acs.joc.2c02800
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.