cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1lchm2
title: CCDC 1470814: Experimental Crystal Structure Determination

description: Related Article: Bei Wang, Bing Ma, Zhangwen Wei, Huan Yang, Meng Wang, Wenxia Yin, Hong Gao, Weisheng Liu|2021|Inorg.Chem.|60|2764|doi:10.1021/acs.inorgchem.0c03617
DOI: 10.5517/ccdc.csd.cc1lchn3
title: CCDC 1470815: Experimental Crystal Structure Determination

description: Related Article: Bei Wang, Bing Ma, Zhangwen Wei, Huan Yang, Meng Wang, Wenxia Yin, Hong Gao, Weisheng Liu|2021|Inorg.Chem.|60|2764|doi:10.1021/acs.inorgchem.0c03617
DOI: 10.5517/ccdc.csd.cc1lchp4
title: CCDC 1470816: Experimental Crystal Structure Determination

description: Related Article: Bei Wang, Bing Ma, Zhangwen Wei, Huan Yang, Meng Wang, Wenxia Yin, Hong Gao, Weisheng Liu|2021|Inorg.Chem.|60|2764|doi:10.1021/acs.inorgchem.0c03617
DOI: 10.5517/ccdc.csd.cc1lchr6
title: CCDC 1470818: Experimental Crystal Structure Determination

description: Related Article: Bei Wang, Bing Ma, Zhangwen Wei, Huan Yang, Meng Wang, Wenxia Yin, Hong Gao, Weisheng Liu|2021|Inorg.Chem.|60|2764|doi:10.1021/acs.inorgchem.0c03617
DOI: 10.5517/ccdc.csd.cc1z0358
title: CCDC 1817349: Experimental Crystal Structure Determination

description: Related Article: Bei Wang, Bing Ma, Zhangwen Wei, Huan Yang, Meng Wang, Wenxia Yin, Hong Gao, Weisheng Liu|2021|Inorg.Chem.|60|2764|doi:10.1021/acs.inorgchem.0c03617
DOI: 10.5517/ccdc.csd.cc25hdhl
title: CCDC 2010799: Experimental Crystal Structure Determination

description: Related Article: Yongjie Yang, Kai Jiang, Hua Zhu, Biaolin Yin|2021|J.Org.Chem.|86|2748|doi:10.1021/acs.joc.0c02730
DOI: 10.5517/ccdc.csd.cc25hdrv
title: CCDC 2010807: Experimental Crystal Structure Determination

description: Related Article: Yongjie Yang, Kai Jiang, Hua Zhu, Biaolin Yin|2021|J.Org.Chem.|86|2748|doi:10.1021/acs.joc.0c02730
DOI: 10.5281/zenodo.4543222
title: Capacitance clamp demonstration in rat dentate gyrus granule cells

description: Dataset for a demonstration of the capacitance clamp, a variant of the dynamic clamp technique, which allows to virtually modify the capacitance of a biological neuron (or any electrically excitable cell). Code for analysis and further explanations will be made available.
DOI: 10.20351/29he20110619
title: MALASPINA_LEG7 Cruise, RV Hespérides

description: MALASPINA_LEG7 Cruise (29HE20110619) carried out on the Research Vessel Hespérides in 2011
DOI: 10.5281/zenodo.4536639
title: MAPM Campaign Data

description: Data from the 2019 MAPM field campaign in Christchurch. Contains data from: AWS Ceilometer miniMPL Radiosondes For PM data see here: https://doi.org/10.5281/zenodo.4542559
DOI: 10.20351/29he20120128
title: ANTARTICA-2012 Cruise, RV Hespérides

description: ANTARTICA-2012 Cruise (29HE20120128) carried out on the Research Vessel Hespérides in 2012
DOI: 10.6084/m9.figshare.14045474
title: SwagataDas_PlosOne_202102.zip

description: We propose a feed-forward Artificial Neural Network (ANN)-based lower limb assessment method using squat and one-leg standing exercise features. An Intel Realsense Depth Camera was used to track and record the 3D skeletal data, from which we extracted nine squat features and four one-leg standing features. We used those features as the input layer to train our ANN. We base our assessment method to precisely identify the progression of \textit{Locomotive Syndrome (LS)} in adults. The Japanese Orthopaedic Association (JOA) first defined LS as a mobility disorder that occurs from the degeneration of locomotive organs and makes nursing care mandatory. A self-test called Short Test Battery Locomotive Syndrome (STBLS) was also introduced to identify LS's progression in adults. Therefore, the output layer for training the ANN was obtained using the STBLS test to detect the progression of LS. Three assessment scores were obtained through this test: stand-up, 2-stride, and Geriatric Locomotive Function Scale (GLFS-25). The ANN consisted of 2 hidden layers with six nodes per layer. We used the Rectified-Linear-Unit (ReLU) activation function. We observed that the correct choice of the input features to train the ANN was essential to achieve an acceptable risk prediction accuracy. The stand-up and 2-stride scores of the STBLS test could be predicted with correlation coefficients of 0.59 and 0.76 between the real and predicted data, respectively.<br>
DOI: 10.6084/m9.figshare.14045474.v1
title: SwagataDas_PlosOne_202102.zip

description: We propose a feed-forward Artificial Neural Network (ANN)-based lower limb assessment method using squat and one-leg standing exercise features. An Intel Realsense Depth Camera was used to track and record the 3D skeletal data, from which we extracted nine squat features and four one-leg standing features. We used those features as the input layer to train our ANN. We base our assessment method to precisely identify the progression of \textit{Locomotive Syndrome (LS)} in adults. The Japanese Orthopaedic Association (JOA) first defined LS as a mobility disorder that occurs from the degeneration of locomotive organs and makes nursing care mandatory. A self-test called Short Test Battery Locomotive Syndrome (STBLS) was also introduced to identify LS's progression in adults. Therefore, the output layer for training the ANN was obtained using the STBLS test to detect the progression of LS. Three assessment scores were obtained through this test: stand-up, 2-stride, and Geriatric Locomotive Function Scale (GLFS-25). The ANN consisted of 2 hidden layers with six nodes per layer. We used the Rectified-Linear-Unit (ReLU) activation function. We observed that the correct choice of the input features to train the ANN was essential to achieve an acceptable risk prediction accuracy. The stand-up and 2-stride scores of the STBLS test could be predicted with correlation coefficients of 0.59 and 0.76 between the real and predicted data, respectively.<br>
DOI: 10.5281/zenodo.4544312
title: A high entropy manganite in an ordered nanocomposite for long-term application in solid oxide cells

description: Figure 2: Atom Probe Tomography Data for thin films of vertically aligned nanocomposites composed by La0.8Sr0.2MnO3 (LSM) and Ce0.8Sm0.2O2 (SDC). Figure 3: impedance spectroscopy data for thin films of vertically aligned nanocomposites composed by La0.8Sr0.2MnO3 (LSM) and Ce0.8Sm0.2O2 (SDC) and of LSM. Figure 4: SEM and AFM data thin films of vertically aligned nanocomposites composed by La0.8Sr0.2MnO3 (LSM) and Ce0.8Sm0.2O2 (SDC) and of LSM. Figure 5: low energy ion scattering (LEIS) spectra for vertically aligned nanocomposites composed by La0.8Sr0.2MnO3 (LSM) and Ce0.8Sm0.2O2 (SDC) and of LSM.
DOI: 10.5281/zenodo.4544311
title: A high entropy manganite in an ordered nanocomposite for long-term application in solid oxide cells

description: Figure 2: Atom Probe Tomography Data for thin films of vertically aligned nanocomposites composed by La0.8Sr0.2MnO3 (LSM) and Ce0.8Sm0.2O2 (SDC). Figure 3: impedance spectroscopy data for thin films of vertically aligned nanocomposites composed by La0.8Sr0.2MnO3 (LSM) and Ce0.8Sm0.2O2 (SDC) and of LSM. Figure 4: SEM and AFM data thin films of vertically aligned nanocomposites composed by La0.8Sr0.2MnO3 (LSM) and Ce0.8Sm0.2O2 (SDC) and of LSM. Figure 5: low energy ion scattering (LEIS) spectra for vertically aligned nanocomposites composed by La0.8Sr0.2MnO3 (LSM) and Ce0.8Sm0.2O2 (SDC) and of LSM.
DOI: 10.20351/29sg20120622
title: CATARINA_LEG1 Cruise, RV Sarmiento de Gamboa

description: CATARINA_LEG1 Cruise (29SG20120622) carried out on the Research Vessel Sarmiento de Gamboa in 2012
DOI: 10.20351/29he20120620
title: ZEE-2012 Cruise, RV Hespérides

description: ZEE-2012 Cruise (29HE20120620) carried out on the Research Vessel Hespérides in 2012
DOI: 10.20351/29he20160523
title: INCRISIS Cruise, RV Hespérides

description: INCRISIS Cruise (29HE20160523) carried out on the Research Vessel Hespérides in 2016
DOI: 10.6084/m9.figshare.14045324
title: Supplementary Material for: Maternal Myometrium Metabolomic Profiles in Labor: Preliminary Results

description: <b><i>Introduction:</i></b> Parturition involves multiple complex metabolic processes that supply essential metabolites to facilitate fetal delivery. Little is known about the dynamic metabolic responses during labor. <b><i>Objective:</i></b> To profile the changes of myometrial metabolites between nonlabor and labor. <b><i>Methods:</i></b> The study involved 30 women in nonlabor and 30 in labor who underwent cesarean section. The characteristics of myometrial metabolite changes during parturition were explored through untargeted metabolomic analysis. Data were analyzed by multivariate and univariate statistical analysis. <b><i>Results:</i></b> Partial least squares-discriminant analysis plots significantly differentiated between the groups. In total, 392 metabolites were significantly distinct between the groups, among which lipid molecules were predominant. A 75% increase in fatty acids, 67% increase in fatty acid carnitines, 66% increase in glycerophospholipids, 83% increase in mono- and diacylglycerols, and 67% decrease in triacyclglycerols were observed in the patients during labor. Most glucose, amino acid, and steroid hormone metabolism also slightly increased in labor. <b><i>Conclusions:</i></b> An increase in lipolysis, fatty acid oxidation, amino acid catabolism, and steroid hormone metabolism was observed during parturition. The change of lipolysis and fatty acid oxidation is the most significant.
DOI: 10.6084/m9.figshare.14045339
title: Supplementary Material for: MicroRNA-301a Promotes Cell Proliferation and Resistance to Apoptosis through PTEN/PI3K/Akt Signaling Pathway in Human Ovarian Cancer

description: <b><i>Background:</i></b> MicroRNAs are endogenous small noncoding RNAs, which play a critical role in regulating various biological and pathologic processes. Furthermore, miR-301a has been detected to be overly expressed in tumorigenic progression of ovarian cancer. However, the effects of miR-301a on ovarian cancer are still unclear. <b><i>Objective:</i></b> The objective of this study is to investigate the molecular mechanisms of miR-301a in epithelial ovarian cancer cells. <b><i>Methods:</i></b> The miR-301a expression in ovarian cancer cells was detected. Then, cell proliferation, cell cycle, and apoptosis of the miR-301a-mimic-transfected ovarian cancer cells were determined, as well as the effects of the miR-301a mimic on the PTEN/phosphoinositide 3-kinase (PI3K) signaling pathway were explored. <b><i>Results:</i></b> We found that the miR-301a expression levels were markedly upregulated in ovarian cancer tissues and cells, and upregulation of miR-301a-promoted cell viability and proliferation. Our results also showed that the miR-301a-mimic accelerated cell cycle progression of ovarian cancer cells by targeting the CDK4/Cyclin-D1 pathway but not the CDK2/Cyclin-E pathway. Moreover, transfection of the miR-301a mimic into ovarian cancer cells could decrease the PTEN expression while increasing the PI3K and Akt phosphorylation, as compared with the miR-301a inhibitor group and the negative control group. <b><i>Conclusion:</i></b> Therefore, miR-301a should be an oncogene in ovarian cancer, and overexpression of miR-301a promoted proliferation of ovarian cancer cells by modulating the PTEN/PI3K/Akt signaling pathway.
DOI: 10.6084/m9.figshare.14045339.v1
title: Supplementary Material for: MicroRNA-301a Promotes Cell Proliferation and Resistance to Apoptosis through PTEN/PI3K/Akt Signaling Pathway in Human Ovarian Cancer

description: <b><i>Background:</i></b> MicroRNAs are endogenous small noncoding RNAs, which play a critical role in regulating various biological and pathologic processes. Furthermore, miR-301a has been detected to be overly expressed in tumorigenic progression of ovarian cancer. However, the effects of miR-301a on ovarian cancer are still unclear. <b><i>Objective:</i></b> The objective of this study is to investigate the molecular mechanisms of miR-301a in epithelial ovarian cancer cells. <b><i>Methods:</i></b> The miR-301a expression in ovarian cancer cells was detected. Then, cell proliferation, cell cycle, and apoptosis of the miR-301a-mimic-transfected ovarian cancer cells were determined, as well as the effects of the miR-301a mimic on the PTEN/phosphoinositide 3-kinase (PI3K) signaling pathway were explored. <b><i>Results:</i></b> We found that the miR-301a expression levels were markedly upregulated in ovarian cancer tissues and cells, and upregulation of miR-301a-promoted cell viability and proliferation. Our results also showed that the miR-301a-mimic accelerated cell cycle progression of ovarian cancer cells by targeting the CDK4/Cyclin-D1 pathway but not the CDK2/Cyclin-E pathway. Moreover, transfection of the miR-301a mimic into ovarian cancer cells could decrease the PTEN expression while increasing the PI3K and Akt phosphorylation, as compared with the miR-301a inhibitor group and the negative control group. <b><i>Conclusion:</i></b> Therefore, miR-301a should be an oncogene in ovarian cancer, and overexpression of miR-301a promoted proliferation of ovarian cancer cells by modulating the PTEN/PI3K/Akt signaling pathway.
DOI: 10.6084/m9.figshare.14045366
title: Supplementary Material for: Changes in Clinical and Histological Characteristics of Nasal Polyps in Northern China over the Past 2–3 Decades

description: <b><i>Introduction:</i></b> Recent studies have shown that inflammatory patterns of nasal polyps from patients with chronic rhinosinusitis (CRS) with nasal polyps (CRSwNP) in East Asia have changed over time. However, to date there is a marked lack of similar data for CRSwNP in Northern China. This study thus aimed to assess the changes in the clinical and histological characteristics of CRSwNP patients from Northern China over the past 2–3 decades. <b><i>Methods:</i></b> This was a retrospective study, which examined data from 2 groups of 150 CRSwNP patients each, who had undergone endoscopic sinus surgery in Beijing Tongren Hospital from 1993 to 1995 (group A) and from 2015 to 2019 (group B). All relevant data for demographic, clinical, and histological parameters were collected for each patient from the 2 groups and compared for overall changes between the 2 groups. <b><i>Results:</i></b> The comorbidity of CRSwNP and asthma increased over time and the cellular phenotype of CRSwNPchanged significantly; in particular, the proportion of eosinophil-dominant CRSwNP increased, lymphocyte-dominant and plasma-dominant CRSwNP decreased significantly, and the proportions of neutrophil-dominant and mixed CRSwNP were not altered. The rate of polyp recurrence increased in CRSwNP but did not in eosinophilic CRSwNP. Smoking and age did not significantly impact the inflammatory patterns of CRSwNP. <b><i>Conclusions:</i></b> The inflammatory patterns of CRSwNP patients have changed and comorbidity of asthma significantly increased in CRSwNP patients in Northern China over the past 2–3 decades.
DOI: 10.48370/ofd/6ya0x4/t2pgse
title: 0534-0002.jpg

description: :unav
DOI: 10.48370/ofd/6ya0x4/haaggn
title: HMW_Alchemilla_subcrenata_Buser_H_1077.jpg

description: :unav
DOI: 10.48370/ofd/6ya0x4
title: Przywrotnik karbowany (Alchemilla subcrenata Buser), 1077

description: Herbarium
DOI: 10.5281/zenodo.4544348
title: A Pan-cancer Transcriptome Promoter Expression Dataset

description: The unfiltered promoter measurements for all promoters as seen in:<br> Demircioğlu et al. (2019). A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters. <em>Cell</em>, 178(6) 1465-1477. Generated with: <em>proActiv</em>: estimate promoter activity using RNA-Seq data The proActiv R package is available on https://github.com/GoekeLab/proActiv Gene and promoter annotations used are provided.
description: {"references": ["Demircio\u011flu et al. (2019). A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters.\u00a0Cell, 178(6) 1465-1477."]}
DOI: 10.5281/zenodo.4243882
title: A Pan-cancer Transcriptome Promoter Expression Dataset

description: The unfiltered promoter measurements for all promoters as seen in:<br> Demircioğlu et al. (2019). A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters. <em>Cell</em>, 178(6) 1465-1477. Generated with: <em>proActiv</em>: estimate promoter activity using RNA-Seq data The proActiv R package is available on https://github.com/GoekeLab/proActiv Gene and promoter annotations used are provided.
description: {"references": ["Demircio\u011flu et al. (2019). A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters.\u00a0Cell, 178(6) 1465-1477."]}
DOI: 10.20351/29sg20120423
title: MONTERA Cruise, RV Sarmiento de Gamboa

description: MONTERA Cruise (29SG20120423) carried out on the Research Vessel Sarmiento de Gamboa in 2012
DOI: 10.5281/zenodo.4544251
title: Organic Waste Substrates Induce Important Shifts in Gut Microbiota of Black Soldier Fly (Hermetia illucens L.): Coexistence of Conserved, Variable, and Potential Pathogenic Microbes

description: Here, we provide the data published in the paper whose link is shared (https://doi.org/10.3389/fmicb.2021.635881). The data spans the 16S rRNA V3–V4 region (10 samples from 10 individual guts) and ITS2 (10 samples from 10 individual guts) region as specified in the sample metadata.The primers used in this study include: 314F-CCTACGGGNGGCWGCAG and 805R-GACTACHVGGGTATCTAATCC for the V3–V4 region and F5-GCATCGATGAAGAACGCAGC and R5-TCCTCCGCTTATTGATATGC for the ITS2 region. However, the data shared here has already been trimmed off the primers. During the analysis, the reads were truncated at lengths 290 and 241 for the forward and reverse reads respectively, to filter out low quality bases dominant in the ends.
DOI: 10.5281/zenodo.4544250
title: Organic Waste Substrates Induce Important Shifts in Gut Microbiota of Black Soldier Fly (Hermetia illucens L.): Coexistence of Conserved, Variable, and Potential Pathogenic Microbes

description: Here, we provide the data published in the paper whose link is shared (https://doi.org/10.3389/fmicb.2021.635881). The data spans the 16S rRNA V3–V4 region (10 samples from 10 individual guts) and ITS2 (10 samples from 10 individual guts) region as specified in the sample metadata.The primers used in this study include: 314F-CCTACGGGNGGCWGCAG and 805R-GACTACHVGGGTATCTAATCC for the V3–V4 region and F5-GCATCGATGAAGAACGCAGC and R5-TCCTCCGCTTATTGATATGC for the ITS2 region. However, the data shared here has already been trimmed off the primers. During the analysis, the reads were truncated at lengths 290 and 241 for the forward and reverse reads respectively, to filter out low quality bases dominant in the ends.
DOI: 10.6084/m9.figshare.12130980.v76
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.5281/zenodo.4055249
title: jdatarsa/sesdata: SES data pre-publication release

description: Data and processing files for use in pre-publication review
DOI: 10.20351/29sg20130514
title: GALINCLIMARCH-2 Cruise, RV Sarmiento de Gamboa

description: GALINCLIMARCH-2 Cruise (29SG20120423) carried out on the Research Vessel Sarmiento de Gamboa in 2012
DOI: 10.20351/29sg20130823
title: FUGRO-2 Cruise, RV Sarmiento de Gamboa

description: FUGRO-2 Cruise (29SG20130823) carried out on the Research Vessel Sarmiento de Gamboa in 2013
DOI: 10.5281/zenodo.4541669
title: List of events for the paper "Statistical study of auroral omega bands" by Partamies et al. (2017)

description: This dataset contains a list of 438 omega-like structures observed in the Fennoscandian Lapland from 1996 to 2007. The results from this set of omega bands for the first time were presented in: Partamies, N., Weygand, J. M., & Juusola, L. (2017). Statistical study of auroral omega bands. Annales Geophysicae, 35, 1069-1083. https://doi.org/10.5194/angeo-35-1069-2017. The omega structures were observed in the stations of Sodankylä (SOD, 67.42<sup>o</sup> N), Muonio (MUO, 68.02<sup>o</sup> N), Abisko (ABK, 68.36<sup>o</sup> N), Kilpisjärvi (KIL, 69.02<sup>o</sup> N), and Kevo (KEV, 69.76<sup>o</sup> N). More station details and quicklook data are at space.fmi.fi/MIRACLE/ASC.<br> <br> The attached file 'Omega_bands_list_1996-2007.txt' contains the following information: year, month, day of the month, hours and minutes (start of the observation), hours and minutes (peak time), hours and minutes (end of the observation), quality flag (between 0 and 5), number of omegas, station. The peak time refers to the time when the clearest form was seen in the all-sky image (see the paper for more details).