cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13014068
title: Isotope data.zip

description: time series of stable water isotope (O-18) observations used to calculate the Young Water Fractions of karst springs in "Risk of groundwater contamination widely underestimated because of fast flow into aquifers
DOI: 10.5517/ccdc.csd.cc1lttjr
title: CCDC 1484575: Experimental Crystal Structure Determination

description: Related Article: Firas Mohammed Younus Al-Saffar, Mark E Light|2019|Thesis|||
DOI: 10.5517/ccdc.csd.cc1n1yc0
title: CCDC 1521212: Experimental Crystal Structure Determination

description: Related Article: Firas Mohammed Younus Al-Saffar, Mark E Light|2019|Thesis|||
DOI: 10.5517/ccdc.csd.cc20vzyt
title: CCDC 1872987: Experimental Crystal Structure Determination

description: Related Article: Tianyue Li, Gary S. Nichol|2019|Thesis|||
DOI: 10.5517/ccdc.csd.cc246sbh
title: CCDC 1972726: Experimental Crystal Structure Determination

description: Related Article: Nico Giordano, Simon Parsons|2019|Thesis|||
DOI: 10.5517/ccdc.csd.cc24dcyw
title: CCDC 1978108: Experimental Crystal Structure Determination

description: Related Article: Zhijie Kuang, Haohua Chen, Jian Qiu, Zongliang Ou, Yu Lan, Qiuling Song|2020|Cell Press: Chem|6|2347|doi:10.1016/j.chempr.2020.06.034
DOI: 10.5517/ccdc.csd.cc22jggk
title: CCDC 1922448: Experimental Crystal Structure Determination

description: Related Article: Zhijie Kuang, Haohua Chen, Jian Qiu, Zongliang Ou, Yu Lan, Qiuling Song|2020|Cell Press: Chem|6|2347|doi:10.1016/j.chempr.2020.06.034
DOI: 10.5517/ccdc.csd.cc249dzv
title: CCDC 1975257: Experimental Crystal Structure Determination

description: Related Article: Zhijie Kuang, Haohua Chen, Jian Qiu, Zongliang Ou, Yu Lan, Qiuling Song|2020|Cell Press: Chem|6|2347|doi:10.1016/j.chempr.2020.06.034
DOI: 10.5517/ccdc.csd.cc22zq82
title: CCDC 1936144: Experimental Crystal Structure Determination

description: Related Article: Zhijie Kuang, Haohua Chen, Jian Qiu, Zongliang Ou, Yu Lan, Qiuling Song|2020|Cell Press: Chem|6|2347|doi:10.1016/j.chempr.2020.06.034
DOI: 10.5517/ccdc.csd.cc234rpq
title: CCDC 1940993: Experimental Crystal Structure Determination

description: Related Article: Ayan Dasgupta, Rasool Babaahmadi, Ben Slater, Brian F. Yates, Alireza Ariafard, Rebecca L. Melen|2020|Cell Press: Chem|6|2364|doi:10.1016/j.chempr.2020.06.035
DOI: 10.5281/zenodo.3938600
title: Supplementary material for "Numerical approximation of port-Hamiltonian systems for hyperbolic or parabolic PDEs with boundary control"

description: This archive contains supplementary Python codes and Jupyter notebooks for the manuscript "Numerical approximation of port-Hamiltonian systems for hyperbolic or parabolic PDEs with boundary control" by A. Brugnoli, G. Haine, A. Serhani and X. Vasseur (ISAE-SUPAERO, University of Toulouse, France). This manuscript is available on ArXiv: https://arxiv.org/abs/2007.08326 Provided notebooks:<br> ------------------- 1) Wave equation: tutorial_wave_ode.ipynb [Section 5.1 of the manuscript]<br> 2) Wave equation with mixed boundary conditions: tutorial_wave_dae.ipynb<br> 3) Mindlin plate problem: tutorial_mindlin.ipynb [Section 5.2 of the manuscript]<br> 4) Heat equation: tutorial_heat_dae.ipynb [Section 5.3 of the manuscript] The codes and notebooks rely on a working installation of the FEniCS software and the assimulo package, all available in the public domain:<br> - FEniCS: www.fenicsproject.org, version 2019.1.0<br> - assimulo: https://jmodelica.org/assimulo/ version 3.1 A README file is provided for the installation of the dependencies. This research is supported by the project ANR-16-CE92-0028, entitled "Interconnected Infinite-Dimensional systems for Heterogeneous Media", INFIDHEM, financed by the French National Research Agency (ANR) and the Deutsche Forschungsgemeinschaft (DFG).
DOI: 10.5281/zenodo.3938599
title: Supplementary material for "Numerical approximation of port-Hamiltonian systems for hyperbolic or parabolic PDEs with boundary control"

description: This archive contains supplementary Python codes and Jupyter notebooks for the manuscript "Numerical approximation of port-Hamiltonian systems for hyperbolic or parabolic PDEs with boundary control" by A. Brugnoli, G. Haine, A. Serhani and X. Vasseur (ISAE-SUPAERO, University of Toulouse, France). This manuscript is available on ArXiv: https://arxiv.org/abs/2007.08326 Provided notebooks:<br> ------------------- 1) Wave equation: tutorial_wave_ode.ipynb [Section 5.1 of the manuscript]<br> 2) Wave equation with mixed boundary conditions: tutorial_wave_dae.ipynb<br> 3) Mindlin plate problem: tutorial_mindlin.ipynb [Section 5.2 of the manuscript]<br> 4) Heat equation: tutorial_heat_dae.ipynb [Section 5.3 of the manuscript] The codes and notebooks rely on a working installation of the FEniCS software and the assimulo package, all available in the public domain:<br> - FEniCS: www.fenicsproject.org, version 2019.1.0<br> - assimulo: https://jmodelica.org/assimulo/ version 3.1 A README file is provided for the installation of the dependencies. This research is supported by the project ANR-16-CE92-0028, entitled "Interconnected Infinite-Dimensional systems for Heterogeneous Media", INFIDHEM, financed by the French National Research Agency (ANR) and the Deutsche Forschungsgemeinschaft (DFG).
DOI: 10.18112/openneuro.ds003194.v1.0.1
title: Neuroepo multisession
DOI: 10.6084/m9.figshare.13017131.v2
title: Bowden-ParryOtterFoodComplexity.csv

description: Data used to test whether foraging efficiency in otters varied with age category and food type. <br>
DOI: 10.6084/m9.figshare.13017131
title: Bowden-ParryOtterFoodComplexity.csv

description: Data used to test whether foraging efficiency in otters varied with age category and food type. <br>
DOI: 10.6084/m9.figshare.13017131.v1
title: Bowden-ParryOtterFoodComplexity.csv

description: Data used to test whether foraging efficiency in otters varied with age category and food type. <br>
DOI: 10.5281/zenodo.4053653
title: GTP hydrolysis by the Ran-RanGAP complex

description: <strong>1K9D_MD_initial.7z:</strong> PDB and PSF files of the model system of Ran-RanGAP complexed with the GTP utilized in the classical and QM/MM simulations; <strong>qmpart_pes.7z:</strong> coordinates of the QM subsystems obtained for all stationary points (ES, TS1, INT, TS2 and PROD) on the potential energy surface; <strong>ES_QMMM-MD.7z:</strong> trajectory of the QM subsystem of the ES complex obtained in the QM/MM MD run.
DOI: 10.5281/zenodo.4053652
title: GTP hydrolysis by the Ran-RanGAP complex

description: <strong>1K9D_MD_initial.7z:</strong> PDB and PSF files of the model system of Ran-RanGAP complexed with the GTP utilized in the classical and QM/MM simulations; <strong>qmpart_pes.7z:</strong> coordinates of the QM subsystems obtained for all stationary points (ES, TS1, INT, TS2 and PROD) on the potential energy surface; <strong>ES_QMMM-MD.7z:</strong> trajectory of the QM subsystem of the ES complex obtained in the QM/MM MD run.
DOI: 10.6084/m9.figshare.13017137
title: Bowden-ParryOtterDyadShare.csv

description: Data used to test if age composition of food owner-receiver dyads influenced the frequency of voluntary sharing.<br>
DOI: 10.6084/m9.figshare.13017137.v1
title: Bowden-ParryOtterDyadShare.csv

description: Data used to test if age composition of food owner-receiver dyads influenced the frequency of voluntary sharing.<br>
DOI: 10.5281/zenodo.4058063
title: The impact of a successful treatment of hepatitis C virus on glyco-metabolic control in diabetic patients: a systematic review and meta-analysis.

description: Raw data. Contains details of treatments and clinical variables collected by the articles selected for systematic review. Data are organized following the outcomes chosen for analysis and covariates are ordered to be ready-to-use in meta-analysis
description: This study was supported by the Italian Ministry of Health (Ricerca Corrente 2018-2020 to Marco Pozzi)
DOI: 10.5281/zenodo.4058062
title: The impact of a successful treatment of hepatitis C virus on glyco-metabolic control in diabetic patients: a systematic review and meta-analysis.

description: Raw data. Contains details of treatments and clinical variables collected by the articles selected for systematic review. Data are organized following the outcomes chosen for analysis and covariates are ordered to be ready-to-use in meta-analysis
description: This study was supported by the Italian Ministry of Health (Ricerca Corrente 2018-2020 to Marco Pozzi)
DOI: 10.5281/zenodo.3956503
title: BCN Dataset: an Annotated Night Urban Sounds dataset

description: This dataset contains 363 minutes and 53 seconds of real-world audio recordings made at the city center of Barcelona. The dataset has been carefully labelled and is organized in three different audio files (.wav files) with their corresponding labels files.
DOI: 10.5281/zenodo.3956502
title: BCN Dataset: an Annotated Night Urban Sounds dataset

description: This dataset contains 363 minutes and 53 seconds of real-world audio recordings made at the city center of Barcelona. The dataset has been carefully labelled and is organized in three different audio files (.wav files) with their corresponding labels files.
DOI: 10.18112/openneuro.ds003195.v1.0.1
title: Placebo Neuroepo multisession
DOI: 10.5281/zenodo.4058319
title: Approximation of a marine ecosystem model by artificial neural networks designed using a genetic algorithm

description: Data from the Paper: Approximation of a marine ecosystem model by artificial neural networks designed using a genetic algorithm. Abstract: Marine ecosystem models are important to identify the processes that affects for example the global carbon cycle. Computation of an annually periodic solution (i.e., a steady annual cycle) for these models requires a high computational effort. To reduce this effort, we approximated an exemplary marine ecosystem model by different artificial neural networks. We used a fully connected network, then applied the sparse evolutionary training (SET) procedure, and finally applied a genetic algorithm (GA) to optimize both the network topology. With all three approaches, a direct approximation of the steady annual cycle was not sufficiently accurate. However, using the mass-corrected prediction of the ANN as initial concentration for additional model runs, the results were in very good agreement. In this way, we achieved a runtime reduction by about 15 \%. The result from the SET algorithm were comparable to those of the full network. Further application of the GA may lead to an even higher reduction. Content: Database sqlite ANN_Database.db zip-files with data: ANN-Data.zip structure and weights of used networks ANN-Results.zip results obtained with networks Reference-Results.zip reference results and training data
DOI: 10.5281/zenodo.4058318
title: Approximation of a marine ecosystem model by artificial neural networks designed using a genetic algorithm

description: Data from the Paper: Approximation of a marine ecosystem model by artificial neural networks designed using a genetic algorithm. Abstract: Marine ecosystem models are important to identify the processes that affects for example the global carbon cycle. Computation of an annually periodic solution (i.e., a steady annual cycle) for these models requires a high computational effort. To reduce this effort, we approximated an exemplary marine ecosystem model by different artificial neural networks. We used a fully connected network, then applied the sparse evolutionary training (SET) procedure, and finally applied a genetic algorithm (GA) to optimize both the network topology. With all three approaches, a direct approximation of the steady annual cycle was not sufficiently accurate. However, using the mass-corrected prediction of the ANN as initial concentration for additional model runs, the results were in very good agreement. In this way, we achieved a runtime reduction by about 15 \%. The result from the SET algorithm were comparable to those of the full network. Further application of the GA may lead to an even higher reduction. Content: Database sqlite ANN_Database.db zip-files with data: ANN-Data.zip structure and weights of used networks ANN-Results.zip results obtained with networks Reference-Results.zip reference results and training data
DOI: 10.6084/m9.figshare.12278249
title: SARS-CoV-2 RNA in blood

description: This dataset provides supplementary material for a report of the prevalence of SARS-CoV-2 RNA in blood and blood products.<br> <b>Extended Data File 1: Metadata table providing data for prevalence of SARS-CoV-2 RNA in blood and blood products based on a systematic literature review. </b>Details of 28 citations are presented, and the 22 studies included in quantitative meta-analysis are indicated.<br> <b>Extended Data File 2: qRT-PCR quantification of vRNA from sera and viral culture assays.</b> Calculation of vRNA copy numbers, and qRT-PCR results in figure and table format.<br> <b>Underlying Data File 1: Metadata table providing underlying data for serum samples from adults with confirmed SARS-CoV-2 infection, based on RT-PCR nose/throat swab. </b>Sheet 1: samples obtained through patients recruited into a UK clinical cohort at Oxford University Hospitals NHS Foundation Trust (n=212 samples from 167 unique individuals). Cells highlighted in blue show follow-up samples collected from the same individual at different time points. Cells highlighted in orange show serum PCR positives. Sheet 2: samples obtained from convalescent donors a minimum of 28 days post resolution of symptoms, via NHS Blood and Transplant, NHSBT (n=142 samples from 142 individuals).<br><b>RT-PCR Primer sequences: </b>provided in a .xlsx file.<br><b> </b><b>PRISMA checklist: </b>reporting for systematic review and meta-analysis<br><b> </b><b>STROBE checklist: </b>reporting for cohort studies<br><b>Fig 4A-D:</b> raw, unedited microscope images of cell cultures. Dates of each image stored in the format YYYYMMDD. (A) and (B) are controls:(A) Negative control Vero E6 cells in media; (B) Cytopathic effect (CPE) in Vero E6 cells spiked with Victoria/01/2020 SARS-CoV-2.(C) and (D) are Vero E6 cells inoculated with 1/10 dilution of serum sample from sample VC12 (patient ID UKCOV040), that tested positive for SARS-CoV-2 RNA by RT-PCR:(C) Aberrant cellular effects at day 4 in a culture inoculated with VC12 at day 0; (D) Normal appearance of cells at day 7 inoculated with 1/10 dilution of the culture supernatant of the VC12-challenged culture, illustrated in (C).<br>
DOI: 10.6084/m9.figshare.12278249.v8
title: SARS-CoV-2 RNA in blood

description: This dataset provides supplementary material for a report of the prevalence of SARS-CoV-2 RNA in blood and blood products.<br> <b>Extended Data File 1: Metadata table providing data for prevalence of SARS-CoV-2 RNA in blood and blood products based on a systematic literature review. </b>Details of 28 citations are presented, and the 22 studies included in quantitative meta-analysis are indicated.<br> <b>Extended Data File 2: qRT-PCR quantification of vRNA from sera and viral culture assays.</b> Calculation of vRNA copy numbers, and qRT-PCR results in figure and table format.<br> <b>Underlying Data File 1: Metadata table providing underlying data for serum samples from adults with confirmed SARS-CoV-2 infection, based on RT-PCR nose/throat swab. </b>Sheet 1: samples obtained through patients recruited into a UK clinical cohort at Oxford University Hospitals NHS Foundation Trust (n=212 samples from 167 unique individuals). Cells highlighted in blue show follow-up samples collected from the same individual at different time points. Cells highlighted in orange show serum PCR positives. Sheet 2: samples obtained from convalescent donors a minimum of 28 days post resolution of symptoms, via NHS Blood and Transplant, NHSBT (n=142 samples from 142 individuals).<br><b>RT-PCR Primer sequences: </b>provided in a .xlsx file.<br><b> </b><b>PRISMA checklist: </b>reporting for systematic review and meta-analysis<br><b> </b><b>STROBE checklist: </b>reporting for cohort studies<br><b>Fig 4A-D:</b> raw, unedited microscope images of cell cultures. Dates of each image stored in the format YYYYMMDD. (A) and (B) are controls:(A) Negative control Vero E6 cells in media; (B) Cytopathic effect (CPE) in Vero E6 cells spiked with Victoria/01/2020 SARS-CoV-2.(C) and (D) are Vero E6 cells inoculated with 1/10 dilution of serum sample from sample VC12 (patient ID UKCOV040), that tested positive for SARS-CoV-2 RNA by RT-PCR:(C) Aberrant cellular effects at day 4 in a culture inoculated with VC12 at day 0; (D) Normal appearance of cells at day 7 inoculated with 1/10 dilution of the culture supernatant of the VC12-challenged culture, illustrated in (C).<br>
DOI: 10.6084/m9.figshare.13019834
title: BEH 3633 Table A1

description: Table A1 shows the data supporting the findings of this study. All statistical analyses were carried out in R version 3.6.0.<br>
DOI: 10.6084/m9.figshare.13019834.v1
title: BEH 3633 Table A1

description: Table A1 shows the data supporting the findings of this study. All statistical analyses were carried out in R version 3.6.0.<br>
DOI: 10.5281/zenodo.4058307
title: Wikipedia biographies

description: Folder containing biographies from Wikipedia. The folder is composed of two subfolders, one containing the Chinese biographies and one containing the English biographies. Each of these subfolders contains one subfolder for each biography (represented by its Wikipedia ID) and each of these folders contains 2 files, one in xml format representing the textual content of the biography and another in csv format containing information about the named entities present in the biography.
DOI: 10.5517/ccdc.csd.cc25g72z
title: CCDC 2009670: Experimental Crystal Structure Determination

description: Related Article: Manuel Gallardo-Villagrán, Orestes Rivada-Wheelaghan, S. M. Wahidur Rahaman, Robert R. Fayzullin, Julia R. Khusnutdinova|2020|Dalton Trans.|49|12756|doi:10.1039/D0DT02505D
DOI: 10.5517/ccdc.csd.cc25g730
title: CCDC 2009671: Experimental Crystal Structure Determination

description: Related Article: Manuel Gallardo-Villagrán, Orestes Rivada-Wheelaghan, S. M. Wahidur Rahaman, Robert R. Fayzullin, Julia R. Khusnutdinova|2020|Dalton Trans.|49|12756|doi:10.1039/D0DT02505D
DOI: 10.5517/ccdc.csd.cc25g741
title: CCDC 2009672: Experimental Crystal Structure Determination

description: Related Article: Manuel Gallardo-Villagrán, Orestes Rivada-Wheelaghan, S. M. Wahidur Rahaman, Robert R. Fayzullin, Julia R. Khusnutdinova|2020|Dalton Trans.|49|12756|doi:10.1039/D0DT02505D
DOI: 10.5517/ccdc.csd.cc25g752
title: CCDC 2009673: Experimental Crystal Structure Determination

description: Related Article: Manuel Gallardo-Villagrán, Orestes Rivada-Wheelaghan, S. M. Wahidur Rahaman, Robert R. Fayzullin, Julia R. Khusnutdinova|2020|Dalton Trans.|49|12756|doi:10.1039/D0DT02505D
DOI: 10.5281/zenodo.4058218
title: Consistent variations in personality traits and their potential for genetic improvement in the biocontrol agent Trichogramma evanescens - Data table and code for data analysis

description: We provide data and code needed to re-do the analyses and figures presented in our preprint <em>Consistent variations in personality traits and their potential for genetic improvement in the biocontrol agent </em>Trichogramma evanescens (DOI : 10.1101/2020.08.21.257881 ): - data table : <em>data_repetition01.xls</em>, with informations about each column in the file <em>data_repetition_info.pdf</em> - data table : <em>data_individual01.xls</em>, with informations about each column in the file <em>data_indivdual_info.pdf</em> <em>- </em>The R code used to do the analyses : <em>Rscript-Consistent variations in personality traits and their potential for genetic improvement in the biocontrol agent Trichogramma evanescens.R</em> <br>
DOI: 10.5281/zenodo.4058217
title: Consistent variations in personality traits and their potential for genetic improvement in the biocontrol agent Trichogramma evanescens - Data table and code for data analysis

description: We provide data and code needed to re-do the analyses and figures presented in our preprint <em>Consistent variations in personality traits and their potential for genetic improvement in the biocontrol agent </em>Trichogramma evanescens (DOI : 10.1101/2020.08.21.257881 ): - data table : <em>data_repetition01.xls</em>, with informations about each column in the file <em>data_repetition_info.pdf</em> - data table : <em>data_individual01.xls</em>, with informations about each column in the file <em>data_indivdual_info.pdf</em> <em>- </em>The R code used to do the analyses : <em>Rscript-Consistent variations in personality traits and their potential for genetic improvement in the biocontrol agent Trichogramma evanescens.R</em> <br>
DOI: 10.5281/zenodo.4058379
title: Test Assets for ckanext-mongodatastore (UC Berkeley Home IP Web Traces)

description: This is a collection of digital assets, that are required for the evaluation of the CKAN plugin 'ckanext-mongodatastore'. The assets are based on the UC Berkeley Home IP Web Traces.
DOI: 10.5281/zenodo.4058378
title: Test Assets for ckanext-mongodatastore (UC Berkeley Home IP Web Traces)

description: This is a collection of digital assets, that are required for the evaluation of the CKAN plugin 'ckanext-mongodatastore'. The assets are based on the UC Berkeley Home IP Web Traces.
DOI: 10.5281/zenodo.4038748
title: A layer of global potential habitats

description: Potential global distribution, e.g. void of human influence, of habitat types following the IUCN habitat classification system at level 1. To create this layer data on the potential distribution of land cover was intersected with data on climate, elevation and topography. In total 12 classes are mapped based on the decision tree by Jung et al. (2020), with the version number of this layer matching the version of the decision tree by Jung et al. Style file for use in QGIS are supplied. Future versions will include the potential distribution of biomes (https://zenodo.org/record/3526620) as well as potential fractional cover estimates per class. <strong>This layer depicts predictions of potential habitats for a contemporary reference climatology (1970-2015) and not historical habitats lost to land cover and land use change! </strong>An explanation can be found in Hengl et al. (2018). Note that the underlying potential land cover distributions are initial predictions for testing purposes only. A publication explaining all processing steps is pending. Furthermore mapping discrete habitat classes ignores the predicted uncertainty in mapped classes. More details can be found here . <strong>Fileformat:</strong> geoTiff | <strong>Projection:</strong> WGS84<strong> | Resolution:</strong> ~250m | <strong>Extent:</strong> Global
description: Note that this layer or the underlying potential land cover data have not been peer reviewed (as of 09/2020). Use at own risk.
description: {"references": ["Jung, M., Dahal, P.R., Butchart, S.H.M. et al. A global map of terrestrial habitat types. Sci Data 7, 256 (2020). https://doi.org/10.1038/s41597-020-00599-8", "Jung, M. Dahal, P.R., Butchart, S.H.M. et al. (2020). A global map of terrestrial habitat types (Version 003) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3925749", "Hengl, T., Jung, M, & Visconti, P (2020). Potential distribution of land cover classes (Potential Natural Vegetation) at 250 m spatial resolution (Version v0.1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3631254"]}