cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e182861v1
title: Why Some Countries Overperform

description: Overall climate mitigation efforts have as of yet been disappointing. But in the aftermath of the Kyoto climate conference it became clear that there were quite a few countries that not only met the emission targets but even overperformed. We need to know why this was the case to make climate agreements in the future more effective. This article presents a theoretical model and gives empirical evidence that helps explain this heterogeneity in provision levels for climate mitigation from the industrialized countries under the Kyoto protocol. A central premise of this paper is that lower CO2 emissions are not only beneficial for the world climate but have country-specific effects as well. National climate mitigation measures have a direct economic impact on individual countries which, as this research shows leads to an increased or decreased compliance based on the nature of a country’s economy. When a large renewable industry is present it stimulates a country to take additional steps in providing the public good of climate mitigation. But countries that are ready for climate change or who may actually benefit from high fossil fuel consumption may be less likely to do so. Individual policy preferences, however, only show part of the story. Countries do not exist in a vacuum. This article not only shows how countries are connected but also how complimentary policy preferences are fostered by being more central in the country network. Through the usage of Bonacich centrality, I explain how this can result in an increase of climate mitigation efforts.
DOI: 10.5281/zenodo.7080239
title: Venus Rifting: dataset vtu files

description: Dataset containing the input files and the vtu files of all the models tested for the study of rifting on Venus
DOI: 10.5281/zenodo.7080240
title: Venus Rifting: dataset vtu files

description: Dataset containing the input files and the vtu files of all the models tested for the study of rifting on Venus
DOI: 10.5517/ccdc.csd.cc1ndfcv
title: CCDC 1531287: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Marek Szafranski, Michael Hanfland, Andrzej Katrusiak|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.cc1z9whn
title: CCDC 1826752: Experimental Crystal Structure Determination

description: Related Article: Shen Shen, Hongming Wang, Guomin Xia|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.cc221207
title: CCDC 1907647: Experimental Crystal Structure Determination

description: Related Article: Zhenxing Cong|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.cc279khm
title: CCDC 2064770: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Olga Yu. Vassilyeva|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.cc279t7m
title: CCDC 2065010: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Olga Yu. Vassilyeva|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.cc27hn1g
title: CCDC 2070615: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Olga Yu. Vassilyeva|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.cc291b2s
title: CCDC 2116434: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Oksana V. Nesterova, Svitlana R. Petrusenko, Dmytro S. Nesterov|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.cc2cjvlc
title: CCDC 2190943: Experimental Crystal Structure Determination

description: Related Article: Jupally Prashanth, Ksenia V. Drozd, German L. Perlovich, Sridhar Balasubramanian, Artem Surov|2022|Cryst.Growth Des.|22|6703|doi:10.1021/acs.cgd.2c00883
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.cc2cjvmd
title: CCDC 2190944: Experimental Crystal Structure Determination

description: Related Article: Jupally Prashanth, Ksenia V. Drozd, German L. Perlovich, Sridhar Balasubramanian, Artem Surov|2022|Cryst.Growth Des.|22|6703|doi:10.1021/acs.cgd.2c00883
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.cc2cjvnf
title: CCDC 2190945: Experimental Crystal Structure Determination

description: Related Article: Jupally Prashanth, Ksenia V. Drozd, German L. Perlovich, Sridhar Balasubramanian, Artem Surov|2022|Cryst.Growth Des.|22|6703|doi:10.1021/acs.cgd.2c00883
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: 10.34740/kaggle/dsv/4469933
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5255/ukda-sn-856066
title: Alcohol Use During Pregnancy and Motherhood: Attitudes and Experiences of Pregnant Women, Mothers, and Healthcare Professionals, 2018-2019

description: Alcohol is the most used substance by women of childbearing age. Alcohol exposed pregnancies can have serious consequences to the fetus, and the UK has one of the highest rates of drinking during pregnancy. Alcohol use during motherhood is also a public health concern, linked with potential harms to the woman and child. This qualitative study investigated the attitudes and experiences of pregnant/parenting women and healthcare professionals regarding maternal drinking. A semi-structured focus group and interviews were conducted in the North West of England with pregnant women, mothers, and healthcare professionals. Quantitative measures captured demographics, alcohol use, and screened for mental ill-health for pregnant women and mothers. Reflexive thematic analysis was used to analyse narratives. Findings revealed that most participants believed avoiding alcohol during pregnancy is the safest option. However, some pregnant women and mothers stated that there was insufficient evidence to demonstrate the harms of low-level drinking and that abstinence guidelines were patronising. All participants reported that low-level drinking during motherhood was acceptable. Heavy drinking was believed to pose serious harm during pregnancy and motherhood to the baby and mother, in addition to damaging relationships. Strong motives were revealed for choosing and avoiding to drink, such as coping with the difficulties of motherhood and parental responsibilities, respectively. Contradictions were found across quantitative and qualitative self-reports of consumption, reflecting potential underreporting of alcohol use. Additionally, drinking levels were discussed in extremes only (low/heavy) without considering ‘grey area’ drinking. Clear, consistent advice and guidelines are needed to support women in reducing their alcohol use during pregnancy and motherhood. These should include the unique potential risks regarding maternal drinking, and the harm attributable to non-clinically dependent alcohol use. The maternal participants in this study were middle-class, therefore, research is needed to capture the views and experiences of women of all socioeconomic backgrounds.
DOI: 10.34740/kaggle/dsv/4469951
title: 2021 World Population (updated daily)
DOI: 10.21227/bm83-4h91
title: TVWS Geolocation Database for Greater Manila Area, Philippines as of 2020

description: These datasets contain the database of the local television channels in the greater manila area (GMA) in the Philippines as of 2020. There are 8 databases corresponding to 8 eight channels namely Channel4.xlsx, Channel5.xlsx, Channel7.xlsx, Channel9.xlsx, Channel11.xlsx, Channel13.xlsx, Channel27.xlsx, Channel37.xlsx. Each database contains the programming schedule of the channel and other information such as lower band, upper band, transmit frequency, latitude, longitude, ERP, and transmit power.
DOI: 10.5255/ukda-sn-855916
title: Computed Tomography Coronary Angiogram Images, Annotations and Associated Data of Normal and Diseased Arteries, 2017-2020

description: We provide anonymized CTCA images, voxel-wise annotations, and associated data in the form of centrelines, calcification scores and meshes of the coronary lumen in 20 normal and 20 diseased cases. Images were obtained along with patient information with informed, written consent as part of Coronary Atlas (https://www.coronaryatlas.org/). Cases were classified as normal (zero calcium score with no signs of stenosis) or diseased (confirmed coronary artery disease). Manual voxel-wise segmentations by three experts were combined using majority voting to generate the final annotations. Provided data can be used for a variety of research purposes, such as 3D printing patient-specific models, development and validation of segmentation algorithms, education and training of medical personnel and in-silico analyses such as testing of medical devices.
DOI: 10.15129/0536c9fa-38bd-4d8e-bfdd-637d9ee753e7
title: Microseismic data from Aquistore (Canada).

description: This data set includes microseismic and structural geological data collected at Aquistore (Canada). They cover a period from 26th April - 21st June 2015, during which CO2 was being injected in the Aquistore injection well at 3.5 km depth. The data were collected in the framework of a research project funded by UKCCSRC (EPSRC) and based at Aquistore in order to identify whether any microseismic events, that could be related to the CO2 injection, took place during this period and use of these events to image potential flowpathways at depth. The data were collected at a sampling rate of 1000Hz using a short-period microseismic array with a 25m aperture, consisting of one three-component and three one-component sensors (Lennartz, MKIII and MKII lite). The array was placed at 50cm depth, approximately 150m away from the injection well. Acquisition was continuous during the above period. The microseismic data are available in PASCAL or ASCII format. Full details on equipment used in data collection and data formats are available in the README file. Due to commercial constraints this dataset is currently under embargo until the end of 2017.
DOI: 10.6084/m9.figshare.17840213
title: SI Datasets S2-S6 associated to PNAS manuscript https://doi.org/10.1073/pnas.2200108119 : 'Molecular convergence by differential domain acquisition is a hallmark chromosomal passenger complex evolution'

description: SI Datasets S2-S6 associated to PNAS manscript (https://doi.org/10.1073/pnas.2200108119): 'Molecular convergence by differential domain acquisition is a hallmark of the evolution of the chromosomal passenger complex'. <br> Unzip files S2-S6 to access content. <br> S2: AF2 predictions for BORI1 and BORI2, plus structural alignment pymol session file. S3: data and output file associated to Figure 1D S4: data and output file associated to Figure 8c S5: sequences of orthologues of INCENP, Borealin, Survivin/BORI and CPC2 + presence/absence matrix including an overview of the Histone H3 N-terminal tails. S6: Hidden Markov Models and lineage-specific alignments used for the iterative searches of the conserved helix that is also found in Survivin and BORI1/2.
DOI: 10.6084/m9.figshare.17840213.v4
title: SI Datasets S2-S6 associated to PNAS manuscript https://doi.org/10.1073/pnas.2200108119 : 'Molecular convergence by differential domain acquisition is a hallmark chromosomal passenger complex evolution'

description: SI Datasets S2-S6 associated to PNAS manscript (https://doi.org/10.1073/pnas.2200108119): 'Molecular convergence by differential domain acquisition is a hallmark of the evolution of the chromosomal passenger complex'. <br> Unzip files S2-S6 to access content. <br> S2: AF2 predictions for BORI1 and BORI2, plus structural alignment pymol session file. S3: data and output file associated to Figure 1D S4: data and output file associated to Figure 8c S5: sequences of orthologues of INCENP, Borealin, Survivin/BORI and CPC2 + presence/absence matrix including an overview of the Histone H3 N-terminal tails. S6: Hidden Markov Models and lineage-specific alignments used for the iterative searches of the conserved helix that is also found in Survivin and BORI1/2.
DOI: 10.6084/m9.figshare.17840213.v3
title: SI Datasets S2-S6 associated to PNAS manuscript: 'Molecular convergence by differential domain acquisition is a hallmark chromosomal passenger complex evolution'

description: SI Datasets S2-S6 associated to manscript (at present published on biorxiv): 'Molecular convergence by differential domain acquisition is a hallmark of the evolution of the chromosomal passenger complex'. <br> Unzip files S2-S6 to access content. <br> S2: AF2 predictions for BORI1 and BORI2, plus structural alignment pymol session file. S3: data and output file associated to Figure 1D S4: data and output file associated to Figure 8c S5: sequences of orthologues of INCENP, Borealin, Survivin/BORI and CPC2 + presence/absence matrix including an overview of the Histone H3 N-terminal tails. S6: Hidden Markov Models and lineage-specific alignments used for the iterative searches of the conserved helix that is also found in Survivin and BORI1/2.
DOI: 10.5281/zenodo.7079781
title: NDVI for Troms and Finnmark (Norway) - Collection 'CGLS_NDVI300_V2_GLOBAL' from vito.be

description: Normalized Difference Vegetation Index for northern Norway Temporal extent 2022-01-01 to 2022-09-12
DOI: 10.5281/zenodo.7079782
title: NDVI for Troms and Finnmark (Norway) - Collection 'CGLS_NDVI300_V2_GLOBAL' from vito.be

description: Normalized Difference Vegetation Index for northern Norway Temporal extent 2022-01-01 to 2022-09-12
DOI: 10.6084/m9.figshare.21516174
title: MISC Data Entry.xlsx

description: As a post-COVID complication in children, multisystem inflammatory syndrome in children (MIS-C) is important because of its varied and life-threatening manifestations. With this background, this study attempts to focus on MIS-C cases in an underprivileged rural setting in north-eastern India, with most patients being treated with methylprednisolone rather than intravenous immunoglobulin due to financial constraints<strong>. </strong> <em>Methods </em> In this prospective longitudinal cohort study at MGM Medical College, 27 MIS-C cases diagnosed following WHO criteria were included. Laboratory and radiological investigations, including echocardiography, were performed as required for diagnosis and to assess prognosis. Most patients were treated with methylprednisolone. A follow-up assessment was done six weeks after discharge for any residual impairment. <em>Results </em> The most frequently affected age group was 5–10 years (59.28%), while respiratory (48.14%) and cardiac (40.74%) were the most commonly involved systems. Logistic regression studies established a significant association between serum ferritin level and prolonged hospital stay (coefficient 0.0674, p=0.0041), possibly due to greater complications in cases with high ferritin levels. Organ impairment was found to increase the need for inotrope use (coefficient 3.8797, p=0.00584). Most cases were treated with methylprednisolone alone (85.18%) with a favourable response and no death occurred. <em><strong>Conclusion</strong></em> The favourable response in cases treated with methylprednisolone only affirms the effectiveness of the drug as a cheaper alternative in a resource-poor setting. The study highlights that higher ferritin levels in complicated cases leads to prolonged hospitalisation and the increased need for inotropes in cases with organ impairment.
DOI: 10.6084/m9.figshare.21516174.v1
title: MISC Data Entry.xlsx

description: As a post-COVID complication in children, multisystem inflammatory syndrome in children (MIS-C) is important because of its varied and life-threatening manifestations. With this background, this study attempts to focus on MIS-C cases in an underprivileged rural setting in north-eastern India, with most patients being treated with methylprednisolone rather than intravenous immunoglobulin due to financial constraints<strong>. </strong> <em>Methods </em> In this prospective longitudinal cohort study at MGM Medical College, 27 MIS-C cases diagnosed following WHO criteria were included. Laboratory and radiological investigations, including echocardiography, were performed as required for diagnosis and to assess prognosis. Most patients were treated with methylprednisolone. A follow-up assessment was done six weeks after discharge for any residual impairment. <em>Results </em> The most frequently affected age group was 5–10 years (59.28%), while respiratory (48.14%) and cardiac (40.74%) were the most commonly involved systems. Logistic regression studies established a significant association between serum ferritin level and prolonged hospital stay (coefficient 0.0674, p=0.0041), possibly due to greater complications in cases with high ferritin levels. Organ impairment was found to increase the need for inotrope use (coefficient 3.8797, p=0.00584). Most cases were treated with methylprednisolone alone (85.18%) with a favourable response and no death occurred. <em><strong>Conclusion</strong></em> The favourable response in cases treated with methylprednisolone only affirms the effectiveness of the drug as a cheaper alternative in a resource-poor setting. The study highlights that higher ferritin levels in complicated cases leads to prolonged hospitalisation and the increased need for inotropes in cases with organ impairment.
DOI: 10.5281/zenodo.7123910
title: Training and Test Datasets for HIDRA2

description: HIDRA2 is a state-of-the-art deep neural model for sea-level prediction based on past sea level observations and future tidal and atmospheric forecasts. Training and evaluation of the model was performed on the published datasets.
DOI: 10.5281/zenodo.7123911
title: Training and Test Datasets for HIDRA2

description: HIDRA2 is a state-of-the-art deep neural model for sea-level prediction based on past sea level observations and future tidal and atmospheric forecasts. Training and evaluation of the model was performed on the published datasets.
DOI: 10.5281/zenodo.7304086
title: Training and Test Datasets for HIDRA2

description: HIDRA2 is a state-of-the-art deep neural model for sea-level prediction based on past sea level observations and future tidal and atmospheric forecasts. Training and evaluation of the model was performed on the published datasets.
DOI: 10.5281/zenodo.7299265
title: Predictive modeling of moonlighting DNA-binding proteins

description: This repository contains the codes used for the prediction of moonlighting proteins in the paper "Predictive modeling of moonlighting DNA binding proteins". The repository is organized as the following: 1. The DNA binding protein identifiers and their features that were used to train the models for the prediction of DNA binding Moonlighting proteins. 2. Five feature sets were used to create Catboost models that make predictions. The source code for generating predictions based on all the features and predictions based on particular features is supplied. In addition, the source code for generating maximum and average ensemble predictions has been made available. A detailed explanation is given in README file.
DOI: 10.5281/zenodo.7299264
title: Predictive modeling of moonlighting DNA-binding proteins

description: This repository contains the codes used for the prediction of moonlighting proteins in the paper "Predictive modeling of moonlighting DNA binding proteins". The repository is organized as the following: 1. The DNA binding protein identifiers and their features that were used to train the models for the prediction of DNA binding Moonlighting proteins. 2. Five feature sets were used to create Catboost models that make predictions. The source code for generating predictions based on all the features and predictions based on particular features is supplied. In addition, the source code for generating maximum and average ensemble predictions has been made available. A detailed explanation is given in README file.
DOI: 10.6084/m9.figshare.16831546
title: Data-2-fig-share.xlsx

description: This the dataset from publication Dumot et al Neurofunctional and neuroimaging readouts for designing a preclinical stem-cell therapy trial in experimental stroke. Sci Rep, 2022, <strong>12</strong>(1): 4700. https://doi.org/10.1038/s41598-022-08713-z
DOI: 10.48786/edbt.2023.22
title: Enhanced Featurization of Queries with Mixed Combinations of Predicates for ML-based Cardinality Estimation
DOI: 10.48786/edbt.2023.27
title: Integration of Skyline Queries into Spark SQL
DOI: 10.48786/edbt.2023.33
title: Stitcher: Learned Workload Synthesis from Historical Performance Footprints
DOI: 10.48786/edbt.2023.35
title: Implementing and Evaluating E2LSH on Storage
DOI: 10.48786/edbt.2023.28
title: Unsupervised Space Partitioning for Nearest Neighbor Search
DOI: 10.48786/edbt.2023.29
title: Recommending Unanimously Preferred Items to Groups