cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/x919-ce34
title: Assamese Handwritten Digits

description: This dataset comes up as a benchmark dataset for machines to automatically recognizing the handwritten assamese digists (numberals) by extracting useful features by analyzing the structure. The Assamese language comprises of a total of 10 digits from 0 to 9. We have collected a total of 516 handwritten digits from 52 native assamese people irrespective of their age (12-86 years), gender, educational background etc. The digits are captured in .jpeg format using a paint mobile application developed by us which automatically saves the images in the internal storage of the mobile. The images are of variable size and are further modified as per requirment. It contains a total of 516 images, among them 387 images (75%) are taken in the training set and 129 images (25%) in the testing set.The Convolutional Neural Networks are extensively used for the purpose of classification as it can learn millions of internals features automatically and perform classification.
DOI: 10.5281/zenodo.3530793
title: The Natural Products Atlas - data download

description: TSV download file from the Natural Products Atlas (npatlas.org). Publication in press.
DOI: 10.17632/mpgr7x7745.1
title: Data for: Yield-power-law fluid propagation in water-saturated channel networks with application to rock grouting
DOI: 10.25345/c5h387
title: MassIVE MSV000084544 - Temporal Molecular & Proteomic Profiling of Inductive Signal for MSC Transient Differentiation into Salivary Progenitor Cells
title: Severe xerostomia due to Sj Syndrome or radiation therapy in head and neck cancer patients significantly depreciates the quality of life and affects productivity. The current clinical management of xerostomia is limited to the palliative care approach and usually is deemed inefficient. Following up on our previous studies demonstrating that mouse mesenchymal stem cells can differentiate into salivary progenitor cells when co-cultured with primary salivary epithelial cells from C57BL/6 mice. These co-cultured stem cells resembled salivary epithelial within 24 hours of co-culture. Morphological changes were accompanied by an expression of salivary gland-specific markers, such as alpha-amylase, muscarinic type 3receptor, aquaporin-5, and cytokeratin 19. We further explored the inductive molecules present in the media that lead to MSC reprogramming by utilizing a high-throughput LC-MS/MS-based proteomics-systems biology approach.
DOI: 10.34725/dvn/3tn6ot/emjqk3
title: Bonding_bridging_summary-1.tab

description: Summary data used in plotting of Figure 2.
DOI: 10.34725/dvn/3tn6ot/mzmo5w
title: 0.Disclaimer.pdf

description: Data disclaimer
DOI: 10.34725/dvn/3tn6ot/ob7hkv
title: Machakos_district_nodes_data-1.tab

description: Nodes data
DOI: 10.5281/zenodo.3530790
title: CARTO17: Data and Scripts for Mapping 17th c. French Theatre

description: All the data for our paper "A Theatre of PlacesMapping 17th c. French Theatre" (GIR'19, Lyon). It includes: A corpus of played with all place names tagged An R script to create a map with all relevant datasets Training data for three different NER recognizers
DOI: 10.5281/zenodo.3530791
title: CARTO17: Data and Scripts for Mapping 17th c. French Theatre

description: All the data for our paper "A Theatre of PlacesMapping 17th c. French Theatre" (GIR'19, Lyon). It includes: A corpus of played with all place names tagged An R script to create a map with all relevant datasets Training data for three different NER recognizers
DOI: 10.34725/dvn/3tn6ot/0d1dkm
title: 0.Disclaimer.pdf

description: Data disclaimer
DOI: 10.34725/dvn/3tn6ot/aiporr
title: Bugesera_district_nodes_data.tab

description: Nodes data
DOI: 10.34725/dvn/3tn6ot/dtuqqs
title: Variables_documentation.tab

description: Variables descriptions in both nodes and ties datasets
DOI: 10.34725/dvn/3tn6ot/nkx8pw
title: Bonding_bridging_summary.tab

description: Summary data used in plotting of Figure 2.
DOI: 10.34725/dvn/3tn6ot/odtu7e
title: Bugesera_district_nodes_data-1.tab

description: Nodes data
DOI: 10.34725/dvn/3tn6ot/qsiljz
title: Response_rates_data-1.tab

description: Response rates data used in plotting Figure 1.
DOI: 10.34725/dvn/3tn6ot/wedjdq
title: Machakos_district_ties_data-1.tab

description: Ties data
DOI: 10.34725/dvn/3tn6ot/wju8su
title: Bugesera_district_ties_data-1.tab

description: Ties data
DOI: 10.34725/dvn/3tn6ot/yilvna
title: Response_rates_data.tab

description: Response rates data used in plotting Figure 1.
DOI: 10.34725/dvn/3tn6ot/57jvqt
title: Mbarali_district_ties_data.tab

description: Ties data
DOI: 10.34725/dvn/3tn6ot/7jaajq
title: Machakos_district_ties_data.tab

description: Ties data
DOI: 10.34725/dvn/3tn6ot/dudtby
title: Machakos_district_nodes_data.tab

description: Nodes data
DOI: 10.34725/dvn/3tn6ot/het6gd
title: Bugesera_district_ties_data.tab

description: Ties data
DOI: 10.34725/dvn/3tn6ot/j5n3ak
title: Mbarali_district_ties_data-1.tab

description: Ties data
DOI: 10.34725/dvn/3tn6ot/nm2aod
title: Mbarali_district_nodes_data.tab

description: Nodes data
DOI: 10.34725/dvn/3tn6ot/x0j6dh
title: Mbarali_district_nodes_data.tab

description: Nodes data
DOI: 10.34725/dvn/3tn6ot/ycwsbb
title: Variables_documentation.tab

description: Variables descriptions in both nodes and ties datasets
DOI: 10.18716/nmrshiftdb2/2584
title: NMR data for 1-hydroxy-5-hydroxymethyl-6-methoxymethyl-3-methoxy-2-(7-methoxy-3,7-dimethylocta-2,6-dienyl)-benzene; Hericenol D
DOI: 10.21227/cs5r-ca61
title: Assamese Handwritten Digits

description: This dataset comes up as a benchmark dataset for automatically recognizing the handwritten assamese digists (numberals) by extracting useful features by analyzing the structure. The Assamese language comprises of a total of 10 digits from 0 to 9. the dataset submitted here are collected from native assamese people irrespective of age (12-86 years), gender, educational background etc. The digits are captured in .jpeg format using a paint mobile application developed by us which are automatically saved in the internal storage of the mobile. The images are of variable size and are further adjusted by cropping. It contains a total of 516 images among them 387 images (75%) are taken in the training set and 129 images (25%) in the testing set.
DOI: 10.18716/nmrshiftdb2/2586
title: NMR data for 9,11-dihydroxy-7-oxopimara-8(14),15-dien-20-oic acid 6,20-lactone; Sphaeropsidin D
DOI: 10.21227/0cr8-k483
title: Assamese Handwritten Digits

description: This dataset comes up as a benchmark dataset for automatically recognizing the handwritten assamese digists (numberals) by extracting useful features by analyzing the structure. The Assamese language comprises of a total of 10 digits from 0 to 9. We have collected a total of 516 handwritten digits from 52 native assamese people irrespective of their age (12-86 years), gender, educational background etc. The digits are captured in .jpeg format using a paint mobile application developed by us which are automatically saved in the internal storage of the mobile. The images are of variable size and are further adjusted by cropping. It contains a total of 516 images among them 387 images (75%) are taken in the training set and 129 images (25%) in the testing set.
DOI: 10.5281/zenodo.3525240
title: Data set for the manuscript 'Studying the different coupling regimes for a plasmonic particle in a plasmonic trap'

description: This repository includes data set and Matlab scripts, which support the manuscript entitled 'Studying the different coupling regimes for a plasmonic particle in a plasmonic trap', published in Optics Express. We include the data set necessary to reproduce the results of the paper in the 'RawData.zip' file. We provide Matlab scripts and functions in the 'PostProcessing.zip' file to process the raw data. We also attach HTML documents explaining the data and how we process them. <strong>Raw data visualization with python.html</strong>: This is the first HTML file containing all the information to understand and visualize the raw data. It is generated by Jupyter Notebook, and it includes python scripts to visualize the raw data. <strong>Post-processing raw data using Matlab.html</strong>: This is the second HTML file, which gives you a guideline to the data processing routines with the explanations of the Matlab scripts and functions. <strong>RawData.zip</strong>: the data set used to produce the results in the manuscript. <strong>PostProcessing.zip</strong>: Matlab scripts and functions for data post-processing. <strong>python.zip</strong>: python files Note: This version update includes the additional data set for the revision of the manuscript.
description: Funding agency: European Research Council Award #: ERC-2015-AdG-695206 Nanofactory
description: {"references": ["A. M. Kern and O. J. F. Martin, \"Surface integral formulation for 3d simulations of plasmonic and high permittivitynanostructures,\" J. Opt. Soc. Am. A 26, 732\u2013740 (2009).", "A. Ji, T. V. Raziman, J. Butet, R. P. Sharma, and O. J. F. Martin, \"Optical forces and torques on realistic plasmonic nanostructures: a surface integral approach,\" Opt. Lett. 39, 4699\u20134702 (2014)."]}
DOI: 10.5281/zenodo.3525241
title: Data set for the manuscript 'The different coupling regimes for a plasmonic particle in a plasmonic trap'

description: This repository includes data set and Matlab scripts, which support the manuscript entitled 'The different coupling regimes for a plasmonic particle in a plasmonic trap.' We include the data set necessary to reproduce the results of the paper in the 'RawData.zip' file. We provide Matlab scripts and functions in the 'PostProcessing.zip' file to process the raw data. We also attach HTML documents explaining the data and how we process them. <strong>Raw data visualization with python.html</strong>: This is the first HTML file containing all the information to understand and visualize the raw data. It is generated by Jupyter Notebook, and it includes python scripts to visualize the raw data. <strong>Post-processing raw data using Matlab.html</strong>: This is the second HTML file, which gives you a guideline to the data processing routines with the explanations of the Matlab scripts and functions. <strong>RawData.zip</strong>: the data set used to produce the results in the manuscript. <strong>PostProcessing.zip</strong>: Matlab scripts and functions for data post-processing. <strong>python.zip</strong>: python files
description: Funding agency: European Research Council Award #: ERC-2015-AdG-695206 Nanofactory
description: {"references": ["A. M. Kern and O. J. F. Martin, \"Surface integral formulation for 3d simulations of plasmonic and high permittivitynanostructures,\" J. Opt. Soc. Am. A 26, 732\u2013740 (2009).", "A. Ji, T. V. Raziman, J. Butet, R. P. Sharma, and O. J. F. Martin, \"Optical forces and torques on realistic plasmonic nanostructures: a surface integral approach,\" Opt. Lett. 39, 4699\u20134702 (2014)."]}
DOI: 10.7910/dvn/tq2mar/ayw7ba
title: RCT Data Upload Safe Harbour.tab

description: SPSS file safe harbour
DOI: 10.7910/dvn/yn03bj/tq7ubh
title: dynes-martin_supplementary-appendix_2019-10-29.pdf

description: Supplementary Appendix
DOI: 10.18716/nmrshiftdb2/2587
title: NMR data for 5,3'-(3,7-dimethyl-2,6-octadienyl)-3,4,2',4'-tetrahydroxychalcone; 5,3'-Digeranyl-3,4,2',4'-tetrahydroxychalcone; Prorepensin
DOI: 10.18716/nmrshiftdb2/2589
title: NMR data for (6a-S,11a-S)-3-O--D-glucopyranosyl-6a-hydroxy-9-methoxypterocarpan; Licoagroside E
DOI: 10.21227/8s01-vr71
title: Assamese Handwritten Digits

description: This dataset comes up as a benchmark dataset for machines to automatically recognizing the handwritten assamese digists (numberals) by extracting useful features by analyzing the structure. The Assamese language comprises of a total of 10 digits from 0 to 9. We have collected a total of 516 handwritten digits from 52 native assamese people irrespective of their age (12-86 years), gender, educational background etc. The digits are captured in .jpeg format using a paint mobile application developed by us which automatically saves the images in the internal storage of the mobile. The images are of variable size and are further modified as per requirment. It contains a total of 516 images, among them 387 images (75%) are taken in the training set and 129 images (25%) in the testing set.
DOI: 10.18716/nmrshiftdb2/2588
title: NMR data for Tricin-4'-0-(erythro--guaiacylglyceryl) ether
DOI: 10.5281/zenodo.3530818
title: Raw database; extract from the public database of the Chilean National Health Survey 2009-10

description: Chilean NHS 2009-10 database. It includes the interest variables for the study: Health related quality of life (HRQoL), musculoskeletal symptoms, age, sex, educational level and residence area.
DOI: 10.5281/zenodo.3530819
title: Raw database; extract from the public database of the Chilean National Health Survey 2009-10

description: Chilean NHS 2009-10 database. It includes the interest variables for the study: Health related quality of life (HRQoL), musculoskeletal symptoms, age, sex, educational level and residence area.
DOI: 10.17632/t9bxmr5ndy.1
title: Data for: Excellent photoelectrochemical activity of Bi2S3 nanorod/TiO2 nanoplate composites with dominant {001} facets

description: nanomaterials
DOI: 10.17632/v3xzdzgysz.1
title: Data for: Runoff characteristics and soil erosion dynamic processes on four typical engineered landforms of coalfields: An in-situ simulated rainfall experimental study

description: the data file (.csv) involves all figures of MS
DOI: 10.17876/plate/dr.3/envelopes/202_56580
title: Digital object identifier (DOI) for the envelope 56580 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56581
title: Digital object identifier (DOI) for the envelope 56581 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56582
title: Digital object identifier (DOI) for the envelope 56582 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56583
title: Digital object identifier (DOI) for the envelope 56583 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56584
title: Digital object identifier (DOI) for the envelope 56584 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56585
title: Digital object identifier (DOI) for the envelope 56585 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56586
title: Digital object identifier (DOI) for the envelope 56586 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56587
title: Digital object identifier (DOI) for the envelope 56587 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56588
title: Digital object identifier (DOI) for the envelope 56588 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56589
title: Digital object identifier (DOI) for the envelope 56589 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56590
title: Digital object identifier (DOI) for the envelope 56590 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56591
title: Digital object identifier (DOI) for the envelope 56591 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56592
title: Digital object identifier (DOI) for the envelope 56592 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56593
title: Digital object identifier (DOI) for the envelope 56593 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56594
title: Digital object identifier (DOI) for the envelope 56594 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56595
title: Digital object identifier (DOI) for the envelope 56595 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56596
title: Digital object identifier (DOI) for the envelope 56596 in archive 202 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/202_56597
title: Digital object identifier (DOI) for the envelope 56597 in archive 202 from the APPLAUSE DR3
DOI: 10.6084/m9.figshare.21220259
title: Network-based gut microbiome analysis in dogs

description: A growing number of studies in the last decade described the microbial populations in different niches of the organism thank to High-throughput DNA sequencing techniques, that are easily accessible to researchers. Furthermore, network analysis allows characterisation of bacteria that are indirectly linked to outcomes such as disease, diet and host sex through their association with other taxa. The present work on the gut microbiome follows previous research in which data were collected from 8 in-house dietary intervention studies in healthy dogs. Animals were divided according to diet and sex. The process of sample collection, storage, DNA extraction and sequencing, bioinformatic and statistical analysis followed a tailored, internally defined pipeline. The extracted DNA was prepared for sequencing of the V3 and V4 regions of the 16 rRNA gene. Correlation network analysis was performed by calculating pairwise relationships between taxa using the Sparse Correlations for Compositional Data (SparCC) algorithm. First, we identified candidate bacteria that were highly abundant in the microbial community, and second, we examined taxa that were directly related to diet and sex factors. In summary, this study underpins the network structure of the gut microbiome of dogs categorised by diet and sex and provides a better explanation for the interactions between bacteria that led to the grouping of dogs based on environmental or genetic factors. Specifically, this study has provided the basis for understanding how the bacterial community in the gut is interconnected and functions as a function of diet composition and sex.HighlightsNetwork analysis could allow indirect association between bacteria composing the gut microbiome and outcomes, such as disease, diet and sex of the host.This research put the basis on the definition of enterotypes also in dogs, a concept already applied in humans.Positively correlated bacteria, belonging to modules could help to modulate diets and therapies for the treatment of enteropathies or gut-related pathologies linked to a dysbiosis status of the host. Network analysis could allow indirect association between bacteria composing the gut microbiome and outcomes, such as disease, diet and sex of the host. This research put the basis on the definition of enterotypes also in dogs, a concept already applied in humans. Positively correlated bacteria, belonging to modules could help to modulate diets and therapies for the treatment of enteropathies or gut-related pathologies linked to a dysbiosis status of the host.
DOI: 10.17876/plate/dr.3/envelopes/202_56598
title: Digital object identifier (DOI) for the envelope 56598 in archive 202 from the APPLAUSE DR3
DOI: 10.6084/m9.figshare.17702557
title: Effect of a feed additive containing yeast cell walls, clove and coriander essential oils and <i>Hibiscus sabdariffa</i> administered to mid-lactating dairy cows on productive performance, rumen fluid composition and metabolic conditions

description: Thirty-six multiparous Holstein mid-lactating cows were housed in 6 pens (6 cows/pen) and allocated in two groups (3 pens/group), receiving a control total mixed ration (CTR), or the same diet supplemented with a feed additive (TRT). Between 15 and 35 days from enrolment (DFE) the dry matter intake (DMI) of each pen, and the individual milk yield (MY), rumination time (RT), the compositions of milk and rumen fluid and the metabolic profile of plasma were monitored regularly. At 35 DFE, cows started a 1-week wash-up period prior to the changeover. Data were analysed with a mixed model using repeated measures. Cows receiving the additive had higher DMI and MY (<i>p</i> &lt; .01), a longer RT between 22 and 29 DFE (<i>p</i> &lt; .05), a higher total VFA concentration and a lower pH in the rumen fluid (<i>p</i> &lt; .01 and <i>p</i> = .04, respectively). At 15 DFE, TRT cows had a higher concentration of lactose in their milk, and lower concentrations of BHB, ceruloplasmin and haptoglobin, paired with higher concentrations of albumin, paraoxonase and aspartate aminotransferase in their plasma (<i>p</i> &lt; .01). These outcomes suggest a positive effect of the additive on increasing DMI and MY, possibly reflecting that it had a combined action on the rumen and the liver.HighlightsThe additive increased feed intake, rumination time and milk yield.It improved rumen fermentations and liver activity, and mitigated ketogenesis and inflammatory conditions.Beneficial actions of the active components on rumen and liver functions could be hypothesised. The additive increased feed intake, rumination time and milk yield. It improved rumen fermentations and liver activity, and mitigated ketogenesis and inflammatory conditions. Beneficial actions of the active components on rumen and liver functions could be hypothesised.
DOI: 10.6084/m9.figshare.21220259.v2
title: Network-based gut microbiome analysis in dogs

description: A growing number of studies in the last decade described the microbial populations in different niches of the organism thank to High-throughput DNA sequencing techniques, that are easily accessible to researchers. Furthermore, network analysis allows characterisation of bacteria that are indirectly linked to outcomes such as disease, diet and host sex through their association with other taxa. The present work on the gut microbiome follows previous research in which data were collected from 8 in-house dietary intervention studies in healthy dogs. Animals were divided according to diet and sex. The process of sample collection, storage, DNA extraction and sequencing, bioinformatic and statistical analysis followed a tailored, internally defined pipeline. The extracted DNA was prepared for sequencing of the V3 and V4 regions of the 16 rRNA gene. Correlation network analysis was performed by calculating pairwise relationships between taxa using the Sparse Correlations for Compositional Data (SparCC) algorithm. First, we identified candidate bacteria that were highly abundant in the microbial community, and second, we examined taxa that were directly related to diet and sex factors. In summary, this study underpins the network structure of the gut microbiome of dogs categorised by diet and sex and provides a better explanation for the interactions between bacteria that led to the grouping of dogs based on environmental or genetic factors. Specifically, this study has provided the basis for understanding how the bacterial community in the gut is interconnected and functions as a function of diet composition and sex.HighlightsNetwork analysis could allow indirect association between bacteria composing the gut microbiome and outcomes, such as disease, diet and sex of the host.This research put the basis on the definition of enterotypes also in dogs, a concept already applied in humans.Positively correlated bacteria, belonging to modules could help to modulate diets and therapies for the treatment of enteropathies or gut-related pathologies linked to a dysbiosis status of the host. Network analysis could allow indirect association between bacteria composing the gut microbiome and outcomes, such as disease, diet and sex of the host. This research put the basis on the definition of enterotypes also in dogs, a concept already applied in humans. Positively correlated bacteria, belonging to modules could help to modulate diets and therapies for the treatment of enteropathies or gut-related pathologies linked to a dysbiosis status of the host.
DOI: 10.17876/plate/dr.3/envelopes/202_56599
title: Digital object identifier (DOI) for the envelope 56599 in archive 202 from the APPLAUSE DR3