cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bd788
title: CCDC 2156709: Experimental Crystal Structure Determination

description: Related Article: Vitor Rosa, Beatriz B. Vaz, Clara S. B. Gomes|2022|CSD Communication|||
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: 10.25387/g3.20103158
title: Supplemental Material for Bakovic et al., 2022

description: Supplementary figures and tables for the publication titled "Genomic and gene expression associations to morphology of a sexual ornament in the chicken". <br> Table S1. Gene expression data generated using NimbleGen 12 x 135k custom gene expression arrays. Each row represents a single probeset and its expression profile for 39 male chicken individuals (Gallus gallus). <br> Table S2. An R/qtl cross file consisting of all the phenotypes measurements and genotypes of chicken (Gallus gallus) samples used in this study. (Column descriptions are attached) <br> Table S3. Results of the QTL analysis performed a F8 intercross population generated by breeding the domestic chicken with the Red Junglefowl. (Column descriptions are attached) <br> Table S4. The results of a eQTL analysis conducted on a F8 intercross population generated by mixing domestic breeds of chicken with the Red Junglefowl. Gene expression data from over 35,000 probesets were used as the phenotype in this interval mapping analysis. eQTL found within 50cM of its underlying QTL were considered CIS, while those found over 50Kb away were considered TRANS. p values under 0.05 were considered significant, while those under 0.2 were considered suggestive. (Column descriptions are attached) <br> Table S5. Overlap between QTL and eQTL detected in this study. Overlap regions are established where the confidence intervals of underlying QTL and eQTL overlap. <br> Table S6. Overlap between QTL confidence intervals and selective sweep regions identified in Qanbari et al., 2020. <br> Figure S1. Mean comb shape as defined by Principal Components 1 to 10 and 2 standard deviations in both directions for each, depicting the different aspects of comb shape captured by the different axes. Note PCs 1 and 2 were used for analyses performed in this study. <br> Figure S2. Proportion of variance explained by Principal Components 1 to 10. Bars represent the amount of variation explained by each component, whereas numbers above bars are cumulative figures.
DOI: 10.25387/g3.20103158.v1
title: Supplemental Material for Bakovic et al., 2022

description: Supplementary figures and tables for the publication titled "Genomic and gene expression associations to morphology of a sexual ornament in the chicken". <br> Table S1. Gene expression data generated using NimbleGen 12 x 135k custom gene expression arrays. Each row represents a single probeset and its expression profile for 39 male chicken individuals (Gallus gallus). <br> Table S2. An R/qtl cross file consisting of all the phenotypes measurements and genotypes of chicken (Gallus gallus) samples used in this study. (Column descriptions are attached) <br> Table S3. Results of the QTL analysis performed a F8 intercross population generated by breeding the domestic chicken with the Red Junglefowl. (Column descriptions are attached) <br> Table S4. The results of a eQTL analysis conducted on a F8 intercross population generated by mixing domestic breeds of chicken with the Red Junglefowl. Gene expression data from over 35,000 probesets were used as the phenotype in this interval mapping analysis. eQTL found within 50cM of its underlying QTL were considered CIS, while those found over 50Kb away were considered TRANS. p values under 0.05 were considered significant, while those under 0.2 were considered suggestive. (Column descriptions are attached) <br> Table S5. Overlap between QTL and eQTL detected in this study. Overlap regions are established where the confidence intervals of underlying QTL and eQTL overlap. <br> Table S6. Overlap between QTL confidence intervals and selective sweep regions identified in Qanbari et al., 2020. <br> Figure S1. Mean comb shape as defined by Principal Components 1 to 10 and 2 standard deviations in both directions for each, depicting the different aspects of comb shape captured by the different axes. Note PCs 1 and 2 were used for analyses performed in this study. <br> Figure S2. Proportion of variance explained by Principal Components 1 to 10. Bars represent the amount of variation explained by each component, whereas numbers above bars are cumulative figures.
DOI: 10.5517/ccdc.csd.cc2bf767
title: CCDC 2157668: Experimental Crystal Structure Determination

description: Related Article: Toni Grell, Evamarie Hey-Hawkins|2022|CSD Communication|||
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.cc2bf7cd
title: CCDC 2157673: Experimental Crystal Structure Determination

description: Related Article: Juha Koivukorpi, Harri Sopo, Reijo Sillanpää|2022|CSD Communication|||
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: 10.35077/tug
title: 181003_JH_WG_B_Fezf2LSLflp_CFA3_male

description: An essential step toward a comprehensive understanding of brain function is to establish a cellular-resolution structural framework upon which multiscale and multi-modal information spanning molecules, cells, circuits, systems and behavior can be registered, integrated, interpreted and mined. Dr. Huang and Arlotta will lead the Center to produce two complementary cell atlases integrated within a digital Common Coordinate Framework of the mouse brain: 1) a Brainwide Cell Transcriptome Atlas of unprecedented scale and resolution, integrated with 2) an in-depth Forebrain Projection Neuron Atlas that combines comprehensive anatomic and molecular information.
description: projection
description: DATASET METADATA: title:'181003_JH_WG_B_Fezf2LSLflp_CFA3_male', GeneralModality:'anatomy/morphology', Technique:'STPT' SPECIMEN METADATA: LocalID:'181003_JH_WG_B_Fezf2LSLflp_CFA3_male', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Ageunit:'Weeks', Sex:'Male', OrganName:'Brain', Locations:'MOp' INSTRUMENT METADATA: MicroscopeType:'Two Photon', MicroscopeManufacturerAndModel:'TissueVision' IMAGE METADATA: yAxis:'right-to-left', zAxis:'anterior-to-posterior', Number:'1,2,red,green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', stepSizeX:'1 micron/pixel', stepSizeY:'1 micron/pixel', stepSizeZ:'50 micron/pixel'
DOI: 10.35077/use
title: 190206_JH_HK0095_Foxp2_SSp_S1_male

description: An essential step toward a comprehensive understanding of brain function is to establish a cellular-resolution structural framework upon which multiscale and multi-modal information spanning molecules, cells, circuits, systems and behavior can be registered, integrated, interpreted and mined. Dr. Huang and Arlotta will lead the Center to produce two complementary cell atlases integrated within a digital Common Coordinate Framework of the mouse brain: 1) a Brainwide Cell Transcriptome Atlas of unprecedented scale and resolution, integrated with 2) an in-depth Forebrain Projection Neuron Atlas that combines comprehensive anatomic and molecular information.
description: projection
description: DATASET METADATA: title:'190206_JH_HK0095_Foxp2_SSp_S1_male', GeneralModality:'anatomy/morphology', Technique:'STPT' SPECIMEN METADATA: LocalID:'190206_JH_HK0095_Foxp2_SSp_S1_male', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'9', Ageunit:'Weeks', Sex:'Male', OrganName:'Brain', Locations:'SSp' INSTRUMENT METADATA: MicroscopeType:'Two Photon', MicroscopeManufacturerAndModel:'TissueVision' IMAGE METADATA: yAxis:'right-to-left', zAxis:'anterior-to-posterior', Number:'1,2,red,green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', stepSizeX:'1 micron/pixel', stepSizeY:'1 micron/pixel', stepSizeZ:'50 micron/pixel'
DOI: 10.25810/558f-c477.50
title: Australian Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - May 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.19846120
title: Risk factors and pooled incidence of intestinal stoma complications: systematic review and Meta-analysis

description: The present systematic review aimed to identify, critically assess and summarize which risk factors might determine the onset of ostomy complications, describing a pooled incidence and stratified incidences by each identified risk factor. A systematic literature review with a meta-analysis of observational studies was performed by following the PRISMA statement and flow chart. The quality assessment of the included articles was performed through the Newcastle-Ottawa Scale (NOS). Sixteen articles published between 1990 and 2018 focused on the risk factors related to intestinal stomal complications, and the performed analysis led to identifying influenceable and non-influenceable risk factors. The median of the NOS evaluation was 6 (IQR = 5.75–6). Among 10,520 included patients, the pooled incidence of stomal complications was 35%, ranging from 9% to 63%, regardless of the nature of the complications. Analysis of the sub-groups highlighted obesity and ostomy surgery performed <i>via</i> laparoscopy or emergency conditions have significant incidences, respectively, of 66% and 68%. The pooled incidence of stomal complications requires greater attention for its relevant epidemiology. From the clinical point of view, patients with obesity and chronic conditions require more attention to prevent complications, possibly employing accurate educational interventions to enhance proper stoma management.
DOI: 10.6084/m9.figshare.19846120.v2
title: Risk factors and pooled incidence of intestinal stoma complications: systematic review and Meta-analysis

description: The present systematic review aimed to identify, critically assess and summarize which risk factors might determine the onset of ostomy complications, describing a pooled incidence and stratified incidences by each identified risk factor. A systematic literature review with a meta-analysis of observational studies was performed by following the PRISMA statement and flow chart. The quality assessment of the included articles was performed through the Newcastle-Ottawa Scale (NOS). Sixteen articles published between 1990 and 2018 focused on the risk factors related to intestinal stomal complications, and the performed analysis led to identifying influenceable and non-influenceable risk factors. The median of the NOS evaluation was 6 (IQR = 5.75–6). Among 10,520 included patients, the pooled incidence of stomal complications was 35%, ranging from 9% to 63%, regardless of the nature of the complications. Analysis of the sub-groups highlighted obesity and ostomy surgery performed <i>via</i> laparoscopy or emergency conditions have significant incidences, respectively, of 66% and 68%. The pooled incidence of stomal complications requires greater attention for its relevant epidemiology. From the clinical point of view, patients with obesity and chronic conditions require more attention to prevent complications, possibly employing accurate educational interventions to enhance proper stoma management.
DOI: 10.15151/esrf-es-879043302
title: Inhouse research

description: XPCS measurements on colloidal suspensions submitted to hydrostatic pressure.
DOI: 10.6084/m9.figshare.19846120.v1
title: Risk factors and pooled incidence of intestinal stoma complications: systematic review and meta-analysis

description: The present systematic review aimed to identify, critically assess and summarize which risk factors might determine the onset of ostomy complications, describing a pooled incidence and stratified incidences by each identified risk factor. A systematic literature review with a meta-analysis of observational studies was performed by following the PRISMA statement and flow chart. The quality assessment of the included articles was performed through the Newcastle-Ottawa Scale (NOS). Sixteen articles published between 1990 and 2018 focused on the risk factors related to intestinal stomal complications, and the performed analysis led to identifying influenceable and non-influenceable risk factors. The median of the NOS evaluation was 6 (IQR =5.75-6). Among 10,520 included patients, the pooled incidence of stomal complications was 35%, ranging from 9% to 63%, regardless of the nature of the complications. Analysis of the sub-groups highlighted obesity and ostomy surgery performed via laparoscopy or emergency conditions have significant incidences, respectively, of 66% and 68%. The pooled incidence of stomal complications requires greater attention for its relevant epidemiology. From the clinical point of view, patients with obesity and chronic conditions require more attention to prevent complications, possibly employing accurate educational interventions to enhance proper stoma management.
DOI: 10.5281/zenodo.6451769
title: The MalRadar Dataset

description: Mobile malware detection has attracted massive research effort in our community. A reliable and up-to-date malware dataset is critical to evaluate the effectiveness of malware detection approaches. Essentially, the malware ground truth should be manually verified by security experts, and their malicious behaviors should be carefully labelled. Although there are several widely-used malware benchmarks in our community (e.g., MalGenome, Drebin, Piggybacking and AMD, etc.), these benchmarks face several limitations including out-of-date, size, coverage, and reliability issues, etc. We make effort to create MalRadar, a growing and up-to-date Android malware dataset using the most reliable way, i.e., by collecting malware based on the analysis reports of security experts. We have crawled all the mobile security related reports released by ten leading security companies, and used an automated approach to extract and label the useful ones describing new Android malware and containing Indicators of Compromise (IoC) information. We have successfully compiled MalRadar, a dataset that contains 4,534 unique Android malware samples (including both apks and metadata) released from 2014 to April 2021 by the time of this paper, all of which were manually verified by security experts with detailed behavior analysis. For more details, please visit https://malradar.github.io/ The dataset includes the following files: (1) sample-info.csv In this file, we list all the detailed information about each sample, including apk file hash, app name, package name, report family, etc. (2) malradar.zip We have packaged the malware samples in chunks of 1000 applications: malradar-0, malradar-1, malradar-2, malradar-3. All the apk files name after the file SHA256. If your papers or articles used our dataset, please include a citation to our paper: <pre><code>@article{wang2022malradar, title={MalRadar: Demystifying Android Malware in the New Era}, author={Wang, Liu and Wang, Haoyu and He, Ren and Tao, Ran and Meng, Guozhu and Luo, Xiapu and Liu, Xuanzhe}, journal={Proceedings of the ACM on Measurement and Analysis of Computing Systems}, volume={6}, number={2}, pages={1--27}, year={2022}, publisher={ACM New York, NY, USA} }</code></pre>
DOI: 10.5281/zenodo.6451768
title: The MalRadar Dataset

description: Mobile malware detection has attracted massive research effort in our community. A reliable and up-to-date malware dataset is critical to evaluate the effectiveness of malware detection approaches. Essentially, the malware ground truth should be manually verified by security experts, and their malicious behaviors should be carefully labelled. Although there are several widely-used malware benchmarks in our community (e.g., MalGenome, Drebin, Piggybacking and AMD, etc.), these benchmarks face several limitations including out-of-date, size, coverage, and reliability issues, etc. We make effort to create MalRadar, a growing and up-to-date Android malware dataset using the most reliable way, i.e., by collecting malware based on the analysis reports of security experts. We have crawled all the mobile security related reports released by ten leading security companies, and used an automated approach to extract and label the useful ones describing new Android malware and containing Indicators of Compromise (IoC) information. We have successfully compiled MalRadar, a dataset that contains 4,534 unique Android malware samples (including both apks and metadata) released from 2014 to April 2021 by the time of this paper, all of which were manually verified by security experts with detailed behavior analysis. For more details, please visit https://malradar.github.io/ The dataset includes the following files: (1) sample-info.csv In this file, we list all the detailed information about each sample, including apk file hash, app name, package name, report family, etc. (2) malradar.zip We have packaged the malware samples in chunks of 1000 applications: malradar-0, malradar-1, malradar-2, malradar-3. All the apk files name after the file SHA256. If your papers or articles used our dataset, please include a citation to our paper: <pre><code>@article{wang2022malradar, title={MalRadar: Demystifying Android Malware in the New Era}, author={Wang, Liu and Wang, Haoyu and He, Ren and Tao, Ran and Meng, Guozhu and Luo, Xiapu and Liu, Xuanzhe}, journal={Proceedings of the ACM on Measurement and Analysis of Computing Systems}, volume={6}, number={2}, pages={1--27}, year={2022}, publisher={ACM New York, NY, USA} }</code></pre>
DOI: 10.5281/zenodo.6798659
title: SIRV: Spatial inference of RNA velocity at the single-cell resolution

description: Spatial transcriptomics and scRNA-seq datasets used for integration and prediction of un/spliced expression for spatially measured genes using SIRV, used to infer the RNA velocity in the spatial context
DOI: 10.5281/zenodo.6798658
title: SIRV: Spatial inference of RNA velocity at the single-cell resolution

description: Spatial transcriptomics and scRNA-seq datasets used for integration and prediction of un/spliced expression for spatially measured genes using SIRV, used to infer the RNA velocity in the spatial context
DOI: 10.5281/zenodo.6798677
title: Erythroxylum kapplerianum decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6798676
title: Erythroxylum kapplerianum decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.20227542
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 148)

description: There are 17 files in this dataset. This is the 148th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20227542.v1
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 148)

description: There are 17 files in this dataset. This is the 148th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.5281/zenodo.6796841
title: data of "Two-particle time-domain interferometry in the Fractional Quantum Hall Effect regime"paper submitted to Nature Comm

description: data of "Two-particle time-domain interferometry in the Fractional Quantum Hall Effect regime"paper submitted to Nature Comm, https://arxiv.org/abs/2201.09553 by I. Taktak, M. Kapfer, J. Nath, P. Roulleau, M. Acciai, J. Splettstoesser, I. Farrer, D. Ritchie and D.C. Glattli. The two-column text file correspond to the x and y axis of the raw experimental shot noise data for each figure of the main text and of the supplementary material. The labeling of the text file follows the name of the figures.
DOI: 10.5281/zenodo.6796840
title: data of "Two-particle time-domain interferometry in the Fractional Quantum Hall Effect regime"paper submitted to Nature Comm

description: data of "Two-particle time-domain interferometry in the Fractional Quantum Hall Effect regime"paper submitted to Nature Comm, https://arxiv.org/abs/2201.09553 by I. Taktak, M. Kapfer, J. Nath, P. Roulleau, M. Acciai, J. Splettstoesser, I. Farrer, D. Ritchie and D.C. Glattli. The two-column text file correspond to the x and y axis of the raw experimental shot noise data for each figure of the main text and of the supplementary material. The labeling of the text file follows the name of the figures.
DOI: 10.25810/es52-xr23.50
title: Canadian Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - May 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.