cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20137811.v1
title: Raw data

description: The data included here are the raw respirometry data, body mass data, gill surface area data (post-processing of gill surface microscopy images), ventricle mass data, hematocrit data, and enzyme activity data (post collection from spectrophotometry assays) analyzed in the manuscript "<strong>Gill surface area allometry does not constrain the body mass scaling of maximum oxygen uptake rate in the tidepool sculpin, </strong><em><strong>Oligocottus maculosus</strong></em>"
DOI: 10.17909/rpvz-ms10
title: IUE data of HD 92664
DOI: 10.34740/kaggle/dsv/5548369
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.22626823.v1
title: Spatial Data

description: GNSS location data for Instrument locations, stream cross-sections for HYDRUS model, and site vegetation surveys (willow clusters).
DOI: 10.6084/m9.figshare.22626823
title: Spatial Data

description: GNSS location data for Instrument locations, stream cross-sections for HYDRUS model, and site vegetation surveys (willow clusters).
DOI: 10.6084/m9.figshare.22626820
title: Stream Stage Data

description: Stream stage data from stream gauges at all sites.
DOI: 10.6084/m9.figshare.22626820.v1
title: Stream Stage Data

description: Stream stage data from stream gauges at all sites.
DOI: 10.34740/kaggle/dsv/5548414
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.22626814
title: Meteorological Data

description: Atmospheric data from central meteorological tower used for precipitation measurements and ET estimates using the bowen ratio.
DOI: 10.6084/m9.figshare.22626775
title: Soil Moisture Data

description: Soil moisture from TDR probes at all sites for the duration of the study period
DOI: 10.6084/m9.figshare.22626742
title: Groundwater Data

description: Groundwater data from all sites (1-6) from May 2020 to December 2021.
DOI: 10.6084/m9.figshare.22626742.v1
title: Groundwater Data

description: Groundwater data from all sites (1-6) from May 2020 to December 2021.
DOI: 10.5281/zenodo.7537295
title: LogPMDataset

description: LogPM CSV files dataset
DOI: 10.5281/zenodo.7537294
title: LogPMDataset

description: Log PM is a log parser benchmark emphasizing precise in-message parameter detection rather than template-based message clustering. This dataset is a combination of smaller datasets used for this benchmark. Datasets are collected from LogHub, parsed using handcrafted regexes, and stored in CSV files. Each CSV file contains no header and three columns. The first one is the message, the second is the parameter mask, and the third one is the index of the matching regex. The necessary dataset parts are downloaded automatically in the LogPM benchmark, so no direct download is required for benchmarking. The benchmark includes the following datasets: Android Apache Hadoop HDFS HPC Linux OpenStack Proxifier SSH ZooKeeper
DOI: 10.5281/zenodo.7537326
title: LogPMDataset

description: LogPM CSV files dataset
DOI: 10.5281/zenodo.7741390
title: LogPMDataset

description: Log PM is a log parser benchmark emphasizing precise in-message parameter detection rather than template-based message clustering. This dataset is a combination of smaller datasets used for this benchmark. Datasets are collected from LogHub, parsed using handcrafted regexes, and stored in CSV files. Each CSV file contains no header and three columns. The first one is the message, the second is the parameter mask, and the third one is the index of the matching regex. The necessary dataset parts are downloaded automatically in the LogPM benchmark, so no direct download is required for benchmarking. The benchmark includes the following datasets: Android Apache Hadoop HDFS HPC Linux OpenStack Proxifier SSH ZooKeeper
DOI: 10.5281/zenodo.7827589
title: LogPMDataset

description: Log PM is a log parser benchmark emphasizing precise in-message parameter detection rather than template-based message clustering. This dataset is a combination of smaller datasets used for this benchmark. Datasets are collected from LogHub, parsed using handcrafted regexes, and stored in CSV files. Each CSV file contains no header and three columns. The first one is the message, the second is the parameter mask, and the third one is the index of the matching regex. The necessary dataset parts are downloaded automatically in the LogPM benchmark, so no direct download is required for benchmarking. The benchmark includes the following datasets: Android Apache Hadoop HDFS HPC Linux OpenStack Proxifier SSH ZooKeeper
DOI: 10.5281/zenodo.7875570
title: LogPMDataset

description: Log PM is a log parser benchmark emphasizing precise in-message parameter detection rather than template-based message clustering. This dataset is a combination of smaller datasets used for this benchmark. Datasets are collected from LogHub, parsed using handcrafted regexes, and stored in CSV files. Each CSV file contains no header and three columns. The first one is the message, the second is the parameter mask, and the third one is the index of the matching regex. The necessary dataset parts are downloaded automatically in the LogPM benchmark, so no direct download is required for benchmarking. The benchmark includes the following datasets: Android Apache Hadoop HDFS HPC Linux OpenStack Proxifier SSH ZooKeeper
DOI: 10.6084/m9.figshare.22231420
title: Formation pathway and molecular composition of brown carbon aerosol via oxygen-independent iron-phenol reactions in dark

description: Raw data and source data for the figures in 'Formation pathway and molecular composition of brown carbon aerosol via oxygen-independent iron-phenol reactions in dark'
DOI: 10.6084/m9.figshare.22231420.v1
title: Formation pathway and molecular composition of brown carbon aerosol via oxygen-independent iron-phenol reactions in dark

description: Raw data and source data for the figures in 'Formation pathway and molecular composition of brown carbon aerosol via oxygen-independent iron-phenol reactions in dark'
DOI: 10.6084/m9.figshare.22231420.v2
title: Formation pathway and molecular composition of brown carbon aerosol via oxygen-independent iron-phenol reactions in dark

description: Raw data and source data for the figures in 'Formation pathway and molecular composition of brown carbon aerosol via oxygen-independent iron-phenol reactions in dark'
DOI: 10.5255/ukda-sn-856310
title: Synthetic Administrative Data: Census 1991, 2023

description: We create a synthetic administrative dataset to be used in the development of the R package for calculating quality indicators for administrative data (see: https://github.com/sook-tusk/qualadmin) that mimic the properties of a real administrative dataset according to specifications by the ONS. Taking over 1 million records from a synthetic 1991 UK census dataset, we deleted records, moved records to a different geography and duplicated records to a different geography according to pre-specified proportions for each broad ethnic group (White, Non-white) and gender (males, females). The final size of the synthetic administrative data was 1033664 individuals.
DOI: 10.5281/zenodo.7812050
title: Morphological cladogenesis and terminal dwarfing in extinct Late Miocene through Pliocene menardiform globorotalids: New complementary data to «Evolutionary prospection in the Neogene planktic foraminifer Globorotalia menardii and related forms from ODP Hole 925B (Céara Rise, western tropical Atlantic): evidence for gradual evolution superimposed by long distance dispersal ?, Swiss J. Palaeontology, 135:205-248»

description: A complementary morphometric data set is provided to the study of Knappertsbusch (2016) about the shell evolution of menardiform globorotalids (Neogene planktic foraminifera) at ODP Hole 925B from Céara Rise in the the western tropical Atlantic. The new measurements confirm splitting of extinct <em>Globorotalia multicamerata</em> from the <em>G. menardii</em> stock via the intermediate form <em>G. limbata</em> between about 6 Ma to 5 Ma ago. After splitting both <em>G. limbata</em> and <em>G. multicamerata</em> show gradual divergence from <em>G. menardii</em> in several shell parameters illustrating morphological cladogenesis. Between 2.88 Ma and 2.59 Ma the same parameters show a concerted trend towards reduced values indicating pre-extinction dwarfing. A comparison with published literature data of Delta<sup>18</sup>O trends between species, that populated the mixed layer (<em>Globigerinoides sacculifer</em>) and the thermocline layer (<em>Neogloboquadrina dutertrei</em>) at this location during those times suggests, that both divergence and subsequent dwarfing trends were probably the results of changes in upper watermass stratification. The complementary data set is provided in six zipped archives APPENDIX A, B, C, D, E and F (zipped with free software 7-Zip 22.00 (x64), 2022-06-15 from 1999-2022 Igor Pawlow), together with a description of the data in file Report_925B_suppl_1.pdf.
description: Complementary data to Knappertsbusch (2016). Evolutionary prospection in the Neogene planktic foraminifer Globorotalia menardii and related forms from ODP Hole 925B (Céara Rise, western tropical Atlantic): evidence for gradual evolution superimposed by long distance dispersal ? Swiss. J. Palaeontology, vol. 135, pp. 205-248. DOI 10.1007/s13358-016-0113-6
DOI: 10.5281/zenodo.7875363
title: 1000 Genomes Project Transposable Element database

description: Multi-sample VCF with transposable elements across individuals in the 1KGP dataset. Transposable elements were called using RetroSeq
description: {"references": ["The 1000 Genomes Project Consortium. A global reference for human genetic variation. Nature 526, 68\u201374 (2015). https://doi.org/10.1038/nature15393"]}
DOI: 10.5281/zenodo.7875362
title: 1000 Genomes Project Transposable Element database

description: Multi-sample VCF with transposable elements across individuals in the 1KGP dataset. Transposable elements were called using RetroSeq
description: {"references": ["The 1000 Genomes Project Consortium. A global reference for human genetic variation. Nature 526, 68\u201374 (2015). https://doi.org/10.1038/nature15393"]}
DOI: 10.5281/zenodo.7870707
title: NsCircle datasets from "Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics"

description: Datasets with the simulations of the incompressible flow around an elliptical as described by the incompressible Navier-Stokes equations. These simulations were used to train and test the MuS-GNN models in the paper:<br> Multi-scale rotation-equivariant graph neural networks for<br> unsteady Eulerian fluid dynamics (https://doi.org/10.1063/5.0097679) The datasets are:<br> - train/NsEllipse<br> - test/NsEllipseLowRe<br> - test/NsEllipseHighRe<br> - test/NsEllipseThin<br> - test/NsEllipseThick<br> - test/NsEllipseNarrow<br> - test/NsEllipseWide<br> - test/NsEllipseAoA To cite these datasets, use the following reference: Mario Lino, Stathi Fotiadis, Anil A. Bharath, and Chris Cantwell. "Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics". Physics of Fluids, 34 (2022). @article{lino2022multi,<br> author = {Lino, Mario and Fotiadis, Stathi and Bharath, Anil A. and Cantwell, Chris},<br> title = {{Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics}},<br> journal = {Physics of Fluids},<br> volume = {34},<br> year = {2022},<br> url = {https://doi.org/10.1063/5.0097679},<br> }<br>
DOI: 10.5281/zenodo.7870706
title: NsCircle datasets from "Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics"

description: Datasets with the simulations of the incompressible flow around an elliptical as described by the incompressible Navier-Stokes equations. These simulations were used to train and test the MuS-GNN models in the paper:<br> Multi-scale rotation-equivariant graph neural networks for<br> unsteady Eulerian fluid dynamics (https://doi.org/10.1063/5.0097679) The datasets are:<br> - train/NsEllipse<br> - test/NsEllipseLowRe<br> - test/NsEllipseHighRe<br> - test/NsEllipseThin<br> - test/NsEllipseThick<br> - test/NsEllipseNarrow<br> - test/NsEllipseWide<br> - test/NsEllipseAoA To cite these datasets, use the following reference: Mario Lino, Stathi Fotiadis, Anil A. Bharath, and Chris Cantwell. "Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics". Physics of Fluids, 34 (2022). @article{lino2022multi,<br> author = {Lino, Mario and Fotiadis, Stathi and Bharath, Anil A. and Cantwell, Chris},<br> title = {{Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics}},<br> journal = {Physics of Fluids},<br> volume = {34},<br> year = {2022},<br> url = {https://doi.org/10.1063/5.0097679},<br> }<br>
DOI: 10.5281/zenodo.7869954
title: Products Leaflets Dataset

description: The dataset is based on a large collection of full page images in JPG format provided by the company Markant Services International GmbH. Each class in the dataset represents one product and each image represents the product image, price, and description. The dataset is composed of 832 classes and 41.6k images in total, split into a training set of 33,280 images and a test set of 8,320 images. Each class has 40 images in the training set and 10 images in the test set. Two versions of the dataset are provided: once with the longer edge fixed to 512 and another one fixed to 256.
DOI: 10.5281/zenodo.7869953
title: Products Leaflets Dataset

description: The dataset is based on a large collection of full page images in JPG format provided by the company Markant Services International GmbH. Each class in the dataset represents one product and each image represents the product image, price, and description. The dataset is composed of 832 classes and 41.6k images in total, split into a training set of 33,280 images and a test set of 8,320 images. Each class has 40 images in the training set and 10 images in the test set. Two versions of the dataset are provided: once with the longer edge fixed to 512 and another one fixed to 256.
DOI: 10.6084/m9.figshare.22361932.v1
title: Supplementary Material for: Essential fatty acid supplementation and early inflammation in preterm infants: Secondary analysis of a randomized clinical trial

description: Introduction: Postnatal inflammation is associated with increased mortality and adverse outcomes in preterm infants. The essential fatty acids arachidonic acid (ARA) and docosahexaenoic acid (DHA) are precursors of lipid mediators with a key role in resolving inflammation. Our aim was to investigate the effect of ARA and DHA supplementation on systemic inflammation in very preterm infants and to identify clinical factors associated with early inflammation. Methods: Secondary analysis of data from a randomized clinical trial (ImNuT study). Infants with gestational age (GA) less than 29 weeks were randomized to receive a daily enteral supplement with ARA 100 mg/kg and DHA 50 mg/kg (ARA:DHA group) or MCT-oil (control group) from the second day of life to 36 weeks postmenstrual age. ARA, DHA and four pro-inflammatory cytokines (IL-1beta, IL-6, IL-8, and TNF-alpha) were analyzed in repeated dried blood samples from birth to day 28 and the area under the curve (AUC) for each variable was calculated. Results: The intention to treat population included 120 infants with mean (SD) GA 26.4 (1.7). The ARA:DHA group had significantly lower IL-6 levels from day 3 to day 28 compared to the control group, mean difference AUC log10 (95% CI) 0.16 (0.03-0.30) pg/mL, p= 0.018. There was no correlation between ARA or DHA blood concentrations and cytokine levels. Having a low gestational age was independently associated with increased levels of all cytokines during the first 4 weeks of life. Conclusions: Enhanced supplementation with ARA and DHA may modulate inflammation in very preterm infants.
DOI: 10.5281/zenodo.7031879
title: functional MRI study on the language stress perception in a foreign language

description: fMRI dataset of 91 participants during a linguistic task about language stress perception in a foreign language. Participants listened to pairs of words in a foreign language (Spanish) and had to indicate if the words were the same or different. The different pairs differed either by the stress pattern, or by the final vowel. This dataset was divided into two groups: 51 participants with French as native language and 40 with Swiss-German as native language. None of the participants had knowledge of Spanish. This repository respects the BIDS standard (https://bids.neuroimaging.io/), including all the raw data (func, fmap, anat) and metadata in order to reproduce the processing. These data have been used in two papers: S. Schwab, M. Mouthon, L.B. Jost, J. Salvadori, I. Yakoub, E. Ferreira da Silva, N. Giroud, B. Perriard and J.M. Annoni, Neural correlates of lexical stress processing in a foreign free-stress language; Brain and Behavior (2023) L. Rogenmoser, M. Mouthon, F. Etter, J. Kamber, J.M. Annoni and S. Schwab; The processing of stress in a foreign language modulates functional antagonism between default mode and attention network regions, (submitted)
description: {"references": ["S. Schwab, M. Mouthon, L.B. Jost, J. Salvadori, I. Yakoub, E. Ferreira da Silva, N. Giroud, B. Perriard and J.M. Annoni, Neural correlates of lexical stress processing in a foreign free-stress language; Brain and Behavior (2023), 10.1002/brb3.2854", "L. Rogenmoser, M. Mouthon, F. Etter, J. Kamber, J.M. Annoni and S. Schwab; The processing of stress in a foreign language modulates functional antagonism between default mode and attention network regions (2023), Neuropsychologia, DOI: https://doi.org/10.1016/j.neuropsychologia.2023.108572"]}
DOI: 10.6084/m9.figshare.22598044
title: Supplementary Material for: Concentric reversible visual field loss, nyctalopia and dyschromatopsia with ezetimibe therapy

description: This is a case of ezetimibe induced concentric field loss, dyschromatopsia and nyctalopia in a patient with no prior history of retinal dystrophy or drug hypersensitivity. A 55-year-old Caucasian woman presents with a one-year history of increasing concentric visual field loss, nyctalopia, photophobia and colour vision impairment. These symptoms correlated with the commencement of ezetimibe therapy 10 mg daily for hypercholesterolaemia. She demonstrated repeatable bilateral visual field constriction on 30-2 Humphrey visual filed testing and colour vision impairment on Ishihara plates (OD:1/17, OS:1/17). Biochemical and radiological screening for carcinoma associated retinopathy was unremarkable. A working diagnosis of drug induced rod-cone dysfunction was made. Her visual symptoms and field changes completely resolved three months after cessation of ezetimibe therapy. This case suggests that ezetimibe is a potential cause of rod-cone dysfunction and should be considered as a differential in patients with new unexplained visual symptoms.
DOI: 10.6084/m9.figshare.22598044.v1
title: Supplementary Material for: Concentric reversible visual field loss, nyctalopia and dyschromatopsia with ezetimibe therapy

description: This is a case of ezetimibe induced concentric field loss, dyschromatopsia and nyctalopia in a patient with no prior history of retinal dystrophy or drug hypersensitivity. A 55-year-old Caucasian woman presents with a one-year history of increasing concentric visual field loss, nyctalopia, photophobia and colour vision impairment. These symptoms correlated with the commencement of ezetimibe therapy 10 mg daily for hypercholesterolaemia. She demonstrated repeatable bilateral visual field constriction on 30-2 Humphrey visual filed testing and colour vision impairment on Ishihara plates (OD:1/17, OS:1/17). Biochemical and radiological screening for carcinoma associated retinopathy was unremarkable. A working diagnosis of drug induced rod-cone dysfunction was made. Her visual symptoms and field changes completely resolved three months after cessation of ezetimibe therapy. This case suggests that ezetimibe is a potential cause of rod-cone dysfunction and should be considered as a differential in patients with new unexplained visual symptoms.
DOI: 10.5517/ccdc.csd.cc248nrv
title: CCDC 1974537: Experimental Crystal Structure Determination

description: Related Article: Ruixue Wu, Jinmiao Wang, Lulu Wang, Cungang Xu, Rong Luo, Feng Shao, Xia Zhang, Yuhua Fan|2023|Inorg.Chem.|62|6339|doi:10.1021/acs.inorgchem.3c00089
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.cc25yn5z
title: CCDC 2024491: Experimental Crystal Structure Determination

description: Related Article: Ling Li, Ji-Yong Zou, Chao Hong, Sheng-Yong You, Li Zhang|2023|J.Solid State Chem.|322|124002|doi:10.1016/j.jssc.2023.124002
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.cc25yn71
title: CCDC 2024493: Experimental Crystal Structure Determination

description: Related Article: Ling Li, Ji-Yong Zou, Chao Hong, Sheng-Yong You, Li Zhang|2023|J.Solid State Chem.|322|124002|doi:10.1016/j.jssc.2023.124002
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.cc26fycz
title: CCDC 2039191: Experimental Crystal Structure Determination

description: Related Article: Ruixue Wu, Jinmiao Wang, Lulu Wang, Cungang Xu, Rong Luo, Feng Shao, Xia Zhang, Yuhua Fan|2023|Inorg.Chem.|62|6339|doi:10.1021/acs.inorgchem.3c00089
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.7620395
title: Farmers' expectations and acceptance of new technologies involved in circular agriculture at the farm level

description: Data was collected online from March to August 2021, using a survey instrument, administered to farmers in four EU countries, to know acceptance of five different circular agricultural innovations designed for nutrient loss reduction at the farm level and focused on environmental sustainability improvement. <br> This database also contains information about farmer characteristics, farm structural characteristics, and farm management, and also contains preferences and attitudinal constructs (such as agribusiness objectives, and environmental attitudes and opinions) and variables related to questions about the potential adoption of the proposed innovations.