cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7654254
title: Common carp individual identification

description: General protocol for the image based identification of individuals within close group of common carp speciesThe aim of this study was to verify the possibility of using fully-automatic non-invasive photo-identification of individual fish based on natural marks on the fish’s body without any obvious skin patterns. This approach is an alternative to stressful invasive tagging and marking techniques. Scale patterns on the body and operculum were used as discriminative features for the identification of individuals in a closed group of fish. We used common carp Cyprinus carpio. The identification method was tested on four experimental data sets: separate short-term data set (pattern variability test) and four long-term data sets (pattern stability test) common carp (32 individual fish). The accuracy of classification was 100% in both the short-term and long-term experiments. According to these results, the methods used for automatic non-invasive image-based individual-fish identification can also beused for fish species without obvious skin patterns.<strong> Four rounds of data collection were performed over the four-month experiment for carp identification. Images were taken of the whole fish out of water. Each fish was caught in the cultivation tank, anesthetized in a bucket using clave oil, and moved to the green background for imaging. A single-layer white-fabric photographic tent with controlled illumination was used for photography. The fish heads were oriented to the left for all images. Fish were tagged for long term ID.<strong> <strong> </strong></strong></strong> <strong>Uploaded files 01,02,03,04 are the original files (4 datasets) and in processed there are all processed files for four datasets.</strong>
DOI: 10.5281/zenodo.7660869
title: Filtered GBIF dataset of occurrences for food species in the brown bear (Ursus arctos) trophic database

description: We reviewed 47 studies of brown bear diet in Europe by searching in SCI Journals, master’s and PhD theses, and grey literature. We obtained a list of 276 species in the brown bear diet in Europe and Turkey. We used the R package rgbif to download occurrences of each food species from the Global Biodiversity Information Facility (GBIF). We selected occurrences of food species, with an uncertainty of &lt;1 km2, in Europe, North Africa and the Middle East for the period 1989–2018.
DOI: 10.5281/zenodo.7660868
title: Filtered GBIF dataset of occurrences for food species in the brown bear (Ursus arctos) trophic database

description: We reviewed 47 studies of brown bear diet in Europe by searching in SCI Journals, master’s and PhD theses, and grey literature. We obtained a list of 276 species in the brown bear diet in Europe and Turkey. We used the R package rgbif to download occurrences of each food species from the Global Biodiversity Information Facility (GBIF). We selected occurrences of food species, with an uncertainty of &lt;1 km2, in Europe, North Africa and the Middle East for the period 1989–2018.
DOI: 10.6084/m9.figshare.22133852
title: Supplementary Material for: Learning Curve for Endoscopic Combined Intra-Renal Surgery Using Vacuum-Assisted Device

description: <b><i>Introduction:</i></b> The aim of the study was to provide data related to endoscopic combined intra-renal surgery learning curve using minimally invasive techniques with vacuum-assisted devices. Minimal data exist on the learning curve for these techniques. <b><i>Methods:</i></b> We conducted a prospective study monitoring the training of a mentored surgeon learning ECIRS with vacuum assistance. We use varied parameters for improvements. After collection of peri-operative data, tendency lines and CUSUM analysis were used to investigate the learning curves. <b><i>Results:</i></b> 111 patients have been included. Guy’s Stone Score 3 and 4 stones 51.3% of all cases. The mostly used percutaneous sheath was 16 Fr (87.3%). SFR was 78.4%. 52.3% patients were tubeless, and 38.7% achieved trifecta. High-degree complication rate was 3.6%. Operative time improved after 72 cases. We observed a decrease of complications throughout the case series, with improvement after 17 cases. In terms of trifecta, proficiency was reached after 53 cases. Proficiency seems achievable in a limited number of procedures, but results did not plateau. Higher number of cases might be necessary for excellence. <b><i>Discussion:</i></b> A surgeon learning ECIRS with vacuum assistance can obtain proficiency in 17–50 cases. The number of procedures required for excellence remains unclear. Exclusion of more complex cases might positively affect the training, reducing unnecessary complications.
DOI: 10.6084/m9.figshare.21841934
title: Two-Sample Testing for Tail Copulas with an Application to Equity Indices

description: A novel, general two-sample hypothesis testing procedure is established for testing the equality of tail copulas associated with bivariate data. More precisely, using a martingale transformation of a natural two-sample tail copula process, a test process is constructed, which is shown to converge in distribution to a standard Wiener process. Hence, from this test process a myriad of asymptotically distribution-free two-sample tests can be obtained. The good finite-sample behavior of our procedure is demonstrated through Monte Carlo simulations. Using the new testing procedure, no evidence of a difference in the respective tail copulas is found for pairs of negative daily log-returns of equity indices during and after the global financial crisis.
DOI: 10.6084/m9.figshare.21841934.v2
title: Two-Sample Testing for Tail Copulas with an Application to Equity Indices

description: A novel, general two-sample hypothesis testing procedure is established for testing the equality of tail copulas associated with bivariate data. More precisely, using a martingale transformation of a natural two-sample tail copula process, a test process is constructed, which is shown to converge in distribution to a standard Wiener process. Hence, from this test process a myriad of asymptotically distribution-free two-sample tests can be obtained. The good finite-sample behavior of our procedure is demonstrated through Monte Carlo simulations. Using the new testing procedure, no evidence of a difference in the respective tail copulas is found for pairs of negative daily log-returns of equity indices during and after the global financial crisis.
DOI: 10.5281/zenodo.7573895
title: Dynamic Knowledge Graphs for Continual Learning of Embeddings

description: These datasets are generated from real world usecases. They are treated as Knowledge graphs and include 20 snapshots, where between two snapshots there are 10% added links and 10% deleted links, making the first and last snapshot non-overlapping.
DOI: 10.5281/zenodo.7573896
title: Dynamic Knowledge Graphs for Continual Learning of Embeddings

description: These datasets are generated from real world usecases. They are treated as Knowledge graphs and include 20 snapshots, where between two snapshots there are 10% added links and 10% deleted links, making the first and last snapshot non-overlapping.
DOI: 10.5281/zenodo.7660955
title: Dynamic Knowledge Graphs for Continual Learning of Embeddings

description: These datasets are generated from real world usecases. They are treated as Knowledge graphs and include 20 snapshots, where between two snapshots there are 10% added links and 10% deleted links, making the first and last snapshot non-overlapping.
DOI: 10.6084/m9.figshare.20326632
title: Fossil Fuel Divestment and Public Climate Change Policy Preferences: An Experimental Test in Three Countries

description: Divestment is a prominent strategy championed by activists to induce positive social change. For example, the current fossil fuel divestment movement includes over 1,500 institutions that control $40 trillion in assets. A primary pathway through which divestment is theorized to be effective is by influencing public opinion and thus pressuring policymakers to take action. However, prior research only tests this argument via qualitative case studies. We assess the impact of exposure to information about fossil fuel divestment on public opinion through the use of national survey experiments in three major greenhouse gas emitters: the United States, India, and South Africa. Across a range of different types of treatments, we find surprisingly little evidence that exposure to information about the fossil fuel divestment movement can increase public support for policies that address climate change. Our findings suggest that divestment movements may be less effective at changing policy preferences than previously realized.
DOI: 10.6084/m9.figshare.20326632.v1
title: Fossil Fuel Divestment and Public Climate Change Policy Preferences: An Experimental Test in Three Countries

description: Divestment is a prominent strategy championed by activists to induce positive social change. For example, the current fossil fuel divestment movement includes over 1,500 institutions that control $40 trillion in assets. A primary pathway through which divestment is theorized to be effective is by influencing public opinion and thus pressuring policymakers to take action. However, prior research only tests this argument via qualitative case studies. We assess the impact of exposure to information about fossil fuel divestment on public opinion through the use of national survey experiments in three major greenhouse gas emitters: the United States, India, and South Africa. Across a range of different types of treatments, we find surprisingly little evidence that exposure to information about the fossil fuel divestment movement can increase public support for policies that address climate change. Our findings suggest that divestment movements may be less effective at changing policy preferences than previously realized.
DOI: 10.5517/ccdc.csd.cc28qssl
title: CCDC 2107280: Experimental Crystal Structure Determination

description: Related Article: T. K. S. Fayaz, Vasanthi Palanisamy, Palash Sanphui, Vladimir Chernyshev|2023|CrystEngComm|25|1252|doi:10.1039/D2CE01283A
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.cc29fytj
title: CCDC 2128578: Experimental Crystal Structure Determination

description: Related Article: Jian Tang, Zijian Xu, Zelong Liu, Yuan Fu, Jing Hua|2023|Polym.Chem.|14|980|doi:10.1039/D2PY01093C
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.cc2bxck6
title: CCDC 2172218: Experimental Crystal Structure Determination

description: Related Article: Yixuan Jiang, Zeng Huang, Jun Tian, Xin Dong, Xiao-Qi Yu, Shanshan Yu|2022|Soft Matter|19|430|doi:10.1039/D2SM01424F
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.cc2c0b4w
title: CCDC 2175057: Experimental Crystal Structure Determination

description: Related Article: Jian Tang, Zijian Xu, Zelong Liu, Yuan Fu, Jing Hua|2023|Polym.Chem.|14|980|doi:10.1039/D2PY01093C
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.cc2c0b5x
title: CCDC 2175058: Experimental Crystal Structure Determination

description: Related Article: Jian Tang, Zijian Xu, Zelong Liu, Yuan Fu, Jing Hua|2023|Polym.Chem.|14|980|doi:10.1039/D2PY01093C
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.cc2c0b6y
title: CCDC 2175059: Experimental Crystal Structure Determination

description: Related Article: Jian Tang, Zijian Xu, Zelong Liu, Yuan Fu, Jing Hua|2023|Polym.Chem.|14|980|doi:10.1039/D2PY01093C
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.cc2c0b7z
title: CCDC 2175060: Experimental Crystal Structure Determination

description: Related Article: Jian Tang, Zijian Xu, Zelong Liu, Yuan Fu, Jing Hua|2023|Polym.Chem.|14|980|doi:10.1039/D2PY01093C
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.cc2c0b80
title: CCDC 2175061: Experimental Crystal Structure Determination

description: Related Article: Jian Tang, Zijian Xu, Zelong Liu, Yuan Fu, Jing Hua|2023|Polym.Chem.|14|980|doi:10.1039/D2PY01093C
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.cc2c5qcn
title: CCDC 2180241: Experimental Crystal Structure Determination

description: Related Article: Anuja Venkata Sai Durga Surampudi, Sistla Ramakrishna, Alegete Pallavi, Sridhar Balasubramanian|2023|CrystEngComm|25|1220|doi:10.1039/D2CE01436J
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.cc2c5qdp
title: CCDC 2180242: Experimental Crystal Structure Determination

description: Related Article: Anuja Venkata Sai Durga Surampudi, Sistla Ramakrishna, Alegete Pallavi, Sridhar Balasubramanian|2023|CrystEngComm|25|1220|doi:10.1039/D2CE01436J
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.cc2c5qfq
title: CCDC 2180243: Experimental Crystal Structure Determination

description: Related Article: Anuja Venkata Sai Durga Surampudi, Sistla Ramakrishna, Alegete Pallavi, Sridhar Balasubramanian|2023|CrystEngComm|25|1220|doi:10.1039/D2CE01436J
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.cc2c5qgr
title: CCDC 2180244: Experimental Crystal Structure Determination

description: Related Article: Anuja Venkata Sai Durga Surampudi, Sistla Ramakrishna, Alegete Pallavi, Sridhar Balasubramanian|2023|CrystEngComm|25|1220|doi:10.1039/D2CE01436J
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.cc2ckxrm
title: CCDC 2191971: Experimental Crystal Structure Determination

description: Related Article: Amir Said, Guanyun Zhang, Caiyun Liu, Dexin Wang, Huihui Niu, Yanshu Liu, Guanjie Chen, Chen-Ho Tung, Yifeng Wang|2023|Dalton Trans.|52|2392|doi:10.1039/D2DT03990G
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: 10.23729/6c5fd58e-c024-40c8-98da-a6c1a649bd21
title: Temporal Bone Implants preview

description: Six ears with cochlear implant electrode inserted into the cochlea, imaged to visualize the impland and allow better understanding of the location of the electrode array. Preview of PAS dataset
DOI: 10.5255/ukda-sn-856214
title: Neuroadaptive Bayesian Optimisation to Predict an Individual Infant's Brain Response Towards Faces Resembling Parent or Stranger, 2022

description: This proof-of-principle study extends the novel experimental approach of Neuroadaptive Bayesian Optimisation (NBO) to infant EEG data to study individual infants' engagement with social stimuli. In particular, the Negative central event-related potential component was optimised across a range of familiar and nonfamiliar faces. Previous group-level research suggested an initial attentional preference for parent’s vs. stranger’s face around 6 months with a subsequent change towards enhanced attention to the stranger’s face. The present individualised NBO study included n=62 infants aged 5-12 months who were presented with faces linearly varying in similarity to parent’s face. Results showed lower-than-usual attrition rate, and an equal proportion of infants preferably attending to parent and stranger, with the individual’s probability of preferably attending to parent’s face increasing between 5 and 12 months but being unrelated to parent-reported social behaviour. This study proves the feasibility of the NBO approach with infant neurophysiological data to identify among a range of cues the one that maximally triggers social brain activity in the individual infant. Further, this study suggests that on the individual level, infants differ in whether they preferably attend to parent or stranger in the second half of the first year of life.
DOI: 10.23729/248dd82e-9fd0-454e-9f17-b6c1459016a7
title: Temporal Bone Implants

description: Six ears with cochlear implant electrode inserted into the cochlea, imaged to visualize the impland and allow better understanding of the location of the electrode array. Preview dataset found at https://doi.org/10.23729/6c5fd58e-c024-40c8-98da-a6c1a649bd21 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.6084/m9.figshare.16910296
title: The complete chloroplast genome sequences of an endangered orchid species Habenaria dentata (Orchidaceae)

description: We performed a phylogenetic analysis with 12 complete chloroplast genomes of Orchidaceae and two species of Iridaceae as outgroups. The GenBank accession numbers of the sequences used in this paper are shown in Figure 1. Sequence alignment was performed using MAFFT (Katoh and Standley 2013), and a maximum likelihood (ML) tree in the GTRGAMMA model was constructed using RAxML 8.2.12 (Stamatakis 2014), and the phylogenetic tree showed that <em>H. dentata</em> was clustered with <em>Habenaria</em> <em>chejuensis</em> and <em>Habenaria</em> <em>ciliolaris</em> with 100% bootstrap support (Figure 1). In conclusion, the complete chloroplast genome of <em>H. dentata</em> was decoded for the first time, which will facilitate the species identification, molecular biology, and phylogenetic studies of <em>H. dentata</em>. This chloroplast genome will provide important clues to better understand the phylogeny and biodiversity of <em>Habenaria</em>.
DOI: 10.6084/m9.figshare.16910296.v1
title: The complete chloroplast genome sequences of an endangered orchid species Habenaria dentata (Orchidaceae)

description: We performed a phylogenetic analysis with 12 complete chloroplast genomes of Orchidaceae and two species of Iridaceae as outgroups. The GenBank accession numbers of the sequences used in this paper are shown in Figure 1. Sequence alignment was performed using MAFFT (Katoh and Standley 2013), and a maximum likelihood (ML) tree in the GTRGAMMA model was constructed using RAxML 8.2.12 (Stamatakis 2014), and the phylogenetic tree showed that <em>H. dentata</em> was clustered with <em>Habenaria</em> <em>chejuensis</em> and <em>Habenaria</em> <em>ciliolaris</em> with 100% bootstrap support (Figure 1). In conclusion, the complete chloroplast genome of <em>H. dentata</em> was decoded for the first time, which will facilitate the species identification, molecular biology, and phylogenetic studies of <em>H. dentata</em>. This chloroplast genome will provide important clues to better understand the phylogeny and biodiversity of <em>Habenaria</em>.
DOI: 10.20347/wias.data.5
title: Impact of Turbulence Modeling on the Simulation of Blood Flow in Aortic Coarctation (Dataset)
DOI: 10.6084/m9.figshare.22133959
title: Calibration of imperfect geophysical models by multiple satellite interferograms with measurement bias

description: Model calibration consists of using experimental or field data to estimate the unknown parameters of a mathematical model. The presence of model discrepancy and measurement bias in the data complicates this task. Satellite interferograms, for instance, are widely used for calibrating geophysical models in geological hazard quantification. In this work, we used satellite interferograms to relate ground deformation observations to the properties of the magma chamber at Kīlauea Volcano in Hawai‘i. We derived closed-form marginal likelihoods and implemented posterior sampling procedures that simultaneously estimate the model discrepancy of physical models, and the measurement bias from the atmospheric error in satellite interferograms. We found that model calibration by aggregating multiple interferograms and downsampling the pixels in the interferograms can reduce the computation complexity compared to calibration approaches based on multiple data sets. The conditions that lead to no loss of information from data aggregation and downsampling are studied. Simulation illustrates that both discrepancy and measurement bias can be estimated, and real applications demonstrate that modeling both effects helps obtain a reliable estimation of a physical model’s unobserved parameters and enhance its predictive accuracy. We implement the computational tools in the RobustCalibration package available on CRAN.