cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fd9gm
title: CCDC 2246150: Experimental Crystal Structure Determination

description: Related Article: Peter A. Wade, Ruchi Tandon, Patrick J. Carroll|2023|Org.Biomol.Chem.|21|5033|doi:10.1039/D3OB00349C
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.cc2fdpj2
title: CCDC 2246524: Experimental Crystal Structure Determination

description: Related Article: Debasish Bera, Rajib Sarkar, Pinaki Saha, Prasanta Ghosh, Chhanda Mukhopadhyay|2023|Chem.Commun.|59|7771|doi:10.1039/D3CC01631E
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.cc2fdpk3
title: CCDC 2246525: Experimental Crystal Structure Determination

description: Related Article: Debasish Bera, Rajib Sarkar, Pinaki Saha, Prasanta Ghosh, Chhanda Mukhopadhyay|2023|Chem.Commun.|59|7771|doi:10.1039/D3CC01631E
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.cc2fc8gk
title: CCDC 2245158: Experimental Crystal Structure Determination

description: Related Article: Kartik Dutta, Richa Agrawal, A. P. Wadawale, Sunita Gamre, Soumyaditya Mula|2023|New J.Chem.|47|11371|doi:10.1039/D3NJ01607B
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.cc2fqyw0
title: CCDC 2256393: Experimental Crystal Structure Determination

description: Related Article: Si-Kai Liu, Pei-Hsuan Chien, Bo-Wei Huang, Jeng-Liang Han|2023|Org.Biomol.Chem.|21|4999|doi:10.1039/D3OB00599B
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.6990638
title: Multilingual fine-grained sentiment analysis corpus

description: A sentiment annotated corpus based on Fallout New Vegas. The corpus has the following sentiments: <em>neutral, anger, disgust, fear, happy, pained, sad, surprised</em> in the following languages: <em>English, German, Italian, Spanish and French</em>. Please cite the following paper: Mika Hämäläinen, Khalid Alnajjar, and Thierry Poibeau. 2022. Video Games as a Corpus: Sentiment Analysis using Fallout New Vegas Dialog. In <em>FDG’22: Proceedings of the 17th International Conference on the Foundations of Digital Games (FDG ’22)</em>
DOI: 10.5281/zenodo.6990637
title: Multilingual fine-grained sentiment analysis corpus

description: A sentiment annotated corpus based on Fallout New Vegas. The corpus has the following sentiments: <em>neutral, anger, disgust, fear, happy, pained, sad, surprised</em> in the following languages: <em>English, German, Italian, Spanish and French</em>. Please cite the following paper: Mika Hämäläinen, Khalid Alnajjar, and Thierry Poibeau. 2022. Video Games as a Corpus: Sentiment Analysis using Fallout New Vegas Dialog. In <em>FDG’22: Proceedings of the 17th International Conference on the Foundations of Digital Games (FDG ’22)</em>
DOI: 10.15468/j4zygc
title: fna-accepted-names

description: A checklist of the native and naturalized vascular plants found in North America, defined here to comprise Canada, Greenland, the continental United States, and the French Territorial Collectivity of Saint-Pierre and Miquelon. The list is based on names that are accepted in the Flora of North America North of Mexico (1993 onwards), but reflects nomenclatural corrections that have been made to the published work.
DOI: 10.57754/fdat.88t4a-msd44
title: Data Set on Pumping Tests in a Partially Penetrating Well to Resolve Vertical Aquifer Heterogeneity and Hydraulic Anisotropy

description: The Hydrogeology group at the Department of Geoscience of the University of Tübingen performs field oriented research at various hydrogeological research site in Southwest Germany. The research focuses on the development of hydrogeological site characterization methods including hydraulic and tracer testing, partly combined with geophysical surveying methods. 
This data set contains data collected in a fluvial gravel aquifer at the field site "Kappel-Grafenhausen" in the Upper Rhine Valley, Germany, during different pumping tests (including a step-drawdown pumping test) conducted in a large diameter pumping well with drawdown observations in the pumping and 15 observation wells as well as pumping tests in a tomographic layout. 
description: The stratification of sedimentary aquifers introduces spatial variability in hydraulic conductivity, primarily between individual horizontal layers. On larger scales, the vertical heterogeneity enhances hydraulic anisotropy with the horizontal conductivity typically exceeding the vertical one. We collected pumping test data sets for the estimation of the hydraulic anisotropy of a stratified aquifer with numerical modelling. The data sets were collected in a fluvial gravel aquifer at the field site "Kappel-Grafenhausen" in the Upper Rhine Valley, Germany, during different pumping tests conducted in the large diameter pumping well R01 (DN 800 mm). We conducted a step-drawdown pumping test with drawdown observations in the pumping and 15 observation wells as well as pumping tests in a tomographic layout. For latter we sequentially extracted water from pumping well sections screened at different depths and measured the hydraulic response at various multi-level observation wells at different distances and directions from the pumping well. This data set consists of three parts: i) data from a step-drawdown pumping test (pumping from all screen sections), ii) the raw data which contains the transient-state data from 22 pumping tests performed in the three screen sections of the pumping well R01 with different pumping rates, and iii) a processed and reduced data set containing steady-shape pumping test data.
description: Keywords:

hydraulic tomography,
pumping test,
vertical heterogeneity,
anisotropy,
hydraulic conductivity,
unconfined aquifer
DOI: 10.34740/kaggle/dsv/5987852
title: Spotify_1Million_Tracks
DOI: 10.4121/ee89efa0-edd0-4a9e-8982-cdd38a15bae8
title: Dataset for the figures in paper titled "An MRI Investigation of Trickle Flow"

description: This is a dataset consisting of .csv and Matlab .fig files that correspond to the paper 'An MRI Investigation of Trickle Flow'. In this paper, Magnetic Resonance Imaging (MRI) is used to characterize the 3D distribution of the two-phase trickle flow inside a slender tube. The distribution is characterized using three parameters: gas-liquid-solid distribution, particle wetting efficiency, and the flow field. The acquired structure and flow MRI images are post-processed to calculate these parameters. A novel post-processing method is introduced to characterize the liquid distribution over individual particle surfaces. This distribution is determined for several axial and radial positions in a tube.
DOI: 10.4121/ee89efa0-edd0-4a9e-8982-cdd38a15bae8.v1
title: Dataset for the figures in paper titled "An MRI Investigation of Trickle Flow"

description: This is a dataset consisting of .csv and Matlab .fig files that correspond to the paper 'An MRI Investigation of Trickle Flow'. In this paper, Magnetic Resonance Imaging (MRI) is used to characterize the 3D distribution of the two-phase trickle flow inside a slender tube. The distribution is characterized using three parameters: gas-liquid-solid distribution, particle wetting efficiency, and the flow field. The acquired structure and flow MRI images are post-processed to calculate these parameters. A novel post-processing method is introduced to characterize the liquid distribution over individual particle surfaces. This distribution is determined for several axial and radial positions in a tube.
DOI: 10.5281/zenodo.7840563
title: Altered oculomotor flexibility is linked to high autistic traits

description: Data set and read me file for plotting and analysing data of the 2 experiments in the study "Altered oculomotor flexibility is linked to high autistic traits"
DOI: 10.5281/zenodo.7840564
title: Altered oculomotor flexibility is linked to high autistic traits

description: Data set and read me file for plotting and analysing data of the 2 experiments in the study "Altered oculomotor flexibility is linked to high autistic traits"
DOI: 10.57754/fdat.4mdfa-50m56
title: Data Set on a Hydraulic and Tracer Tomography at the Hydrogeological Research Site "Lauswiesen"

description: The Hydrogeology group at the Department of Geoscience of the University of Tübingen performs field oriented research at various hydrogeological research site in Southwest Germany. The research focuses on the development of hydrogeological site characterization methods including hydraulic and tracer testing, partly combined with geophysical surveying methods. 
This data set includes data from a hydraulic and tracer tracer tomography test acquired at the Hydrogeological Research Site "Lauswiesen".
description: Pumping and tracer tests are site-investigation techniques frequently used to determine hydraulic conductivity. Tomographic test layouts, in which multiple tests with different combinations of injection and observation wells are performed, give a better insight into spatial variability of the hydraulic aquifer properties. While hydraulic tomography has repeatedly been applied in the field, tracer tomography lags behind. We developed an experimental method for solute-tracer tomography using fluorescein as a conservative tracer, and applied it at the Hydrogeological Research Site Lauswiesen in Southern Germany. The hydraulic and tracer tests were performed with a tomographic layout of 4 x 5 observation wells distributed over a 10 x 10 m area. Nested injection-extraction well pairs were generated for repeated tracer injections at different injection intervals. The tests resulted in this data set, which was published in Sánchez-León et al. (2020). The data set is stored in a hdf5-data base that contains the raw data, and the processed drawdown and breakthrough curves of the tomographic hydraulic and tracer tests. It also includes all relevant information about the wells used during the experiments and all necessary metadata.
description: Keywords:

hydrogeology, 
unconfined aquifer, 
hydraulic tomography,
tracer tomography,
site characterization,
heterogeneity,
hydraulic conductivity
DOI: 10.21338/cron2w1e01
title: CRONOS2 Wave 1 edition 1.0
DOI: 10.57754/fdat.hma1z-00r32
title: Pumping Test Data from the Hydrogeological Reasearch Site "Lauswiesen"

description: The Hydrogeology group at the Department of Geoscience of the University of Tübingen performs field oriented research at various hydrogeological research sites in Southwest Germany. The research focuses on the development of hydrogeological site characterization methods including hydraulic and tracer testing, partly combined with geophysical surveying methods. 
This data set contains data from five short-term pumping tests performed in the unconfined aquifer of the Hydrogeological Reasearch Site "Lauswiesen". The data set contains the raw data, processed data, and a well-by-well analysis of the pumping test.
description: Keywords:

pumping test,
unconfined aquifer
DOI: 10.15468/wzpsw4
title: Floral Checklist Records of Some Forest Reserves in Ghana

description: The study area for the checklist flora data collection was from Western and Brong Ahafo regions in Ghana. Ecologically, these regions fall within the transitional, dry semi deciduous, dry deciduous, moist ever green and wet ever green forests zones of Ghana, with parts of the area falling within the wildfire prone areas. These areas are characterized by high diversity of pioneer tree species. The information taken from these reserves were baseline biological and carbon survey data.
DOI: 10.15468/zzqz9h
title: Checklist of Flora Records at Bia North Tributaries Forest Reserve in Ghana

description: The study area for the checklist flora data collection was from Bia North Tributaries Forest Reserve in the Western North Region of Ghana. Ecologically, the region falls within the moist semi deciduous forests zone of Ghana, which are characterized by high diversity of pioneer tree species. The information taken from this forest reserve was baseline biological and carbon survey data report.
DOI: 10.15468/rm6pm4
title: United Kingdom Species Inventory (UKSI)

description: The UK Species Inventory is the most comprehensive curated database of UK wildlife taxonomy and nomenclature. Originally developed for the JNCC's "Recorder" biological recording package, the database has since 2000 been maintained by the Natural History Museum, London. Data has been sourced from published checklists and from a network of dedicated amateur and professional taxonomists. It forms the foundation for the largest biological recording and reporting systems in the UK, including all of the partners in the National Biodiversity Network. This extract from the UKSI has been created by the data management team at the NBN Atlas as as simplified derivative checklist.
DOI: 10.5281/zenodo.8064326
title: Associated data underlying the article "Assessment of the Croatian Open Data Portal Using User-Oriented Metrics"

description: Associated data underlying the article Miletić, A.; Kuveždić Divjak, A.; Welle Donker, F. Assessment of the Croatian Open Data Portal Using User-Oriented Metrics. <em>ISPRS Int. J. Geo-Inf.</em> <strong>2023</strong>, <em>12</em>, 185. https://doi.org/10.3390/ijgi12050185 Article Abstract:<br> Open data portals are web services that serve as a central access point for all government-published open data and can exist at local, regional, national, and international levels. They are an important element of most open data initiatives that have enabled a large amount of government data to be widely available. However, data quantity and quality are not the only aspects that should be considered when publishing data. To improve the reusability of data and to achieve greater impact and benefits from open data, it is important to consider user-oriented aspects of the portal management, discovery, and use of data (e.g., organizing the portal in a user-centric way, providing accurate metadata, using a standardized and open data format, etc.). In this paper, we adopted the metrics proposed by the European Commission to assess compliance of the Croatian Open Data Portal with 10 user-oriented principles that open data portals should implement in terms of sustainability and added value. While the results show the government’s efforts in publishing data, some aspects such as better collaboration with data providers and other data portals, offering different visualization tools, etc. need to be improved to achieve active use and impact. Keywords: open data; open data portal; assessment; user experience; data reuse
description: {"references": ["Mileti\u0107, A.; Kuve\u017edi\u0107 Divjak, A.; Welle Donker, F. Assessment of the Croatian Open Data Portal Using User-Oriented Metrics.\u00a0ISPRS Int. J. Geo-Inf.\u00a02023,\u00a012, 185. https://doi.org/10.3390/ijgi12050185"]}
DOI: 10.5281/zenodo.8064325
title: Associated data underlying the article "Assessment of the Croatian Open Data Portal Using User-Oriented Metrics"

description: Associated data underlying the article Miletić, A.; Kuveždić Divjak, A.; Welle Donker, F. Assessment of the Croatian Open Data Portal Using User-Oriented Metrics. <em>ISPRS Int. J. Geo-Inf.</em> <strong>2023</strong>, <em>12</em>, 185. https://doi.org/10.3390/ijgi12050185 Article Abstract:<br> Open data portals are web services that serve as a central access point for all government-published open data and can exist at local, regional, national, and international levels. They are an important element of most open data initiatives that have enabled a large amount of government data to be widely available. However, data quantity and quality are not the only aspects that should be considered when publishing data. To improve the reusability of data and to achieve greater impact and benefits from open data, it is important to consider user-oriented aspects of the portal management, discovery, and use of data (e.g., organizing the portal in a user-centric way, providing accurate metadata, using a standardized and open data format, etc.). In this paper, we adopted the metrics proposed by the European Commission to assess compliance of the Croatian Open Data Portal with 10 user-oriented principles that open data portals should implement in terms of sustainability and added value. While the results show the government’s efforts in publishing data, some aspects such as better collaboration with data providers and other data portals, offering different visualization tools, etc. need to be improved to achieve active use and impact. Keywords: open data; open data portal; assessment; user experience; data reuse
description: {"references": ["Mileti\u0107, A.; Kuve\u017edi\u0107 Divjak, A.; Welle Donker, F. Assessment of the Croatian Open Data Portal Using User-Oriented Metrics.\u00a0ISPRS Int. J. Geo-Inf.\u00a02023,\u00a012, 185. https://doi.org/10.3390/ijgi12050185"]}
DOI: 10.6084/m9.figshare.23552781
title: Effect of JPYZXZ Granules on mune Function and survival quality in Patients with progressive gastric cancer

description: The data that support the findings of this study
DOI: 10.6084/m9.figshare.23552781.v1
title: Effect of JPYZXZ Granules on mune Function and survival quality in Patients with progressive gastric cancer

description: The data that support the findings of this study
DOI: 10.6084/m9.figshare.23552817
title: The positive impact of artificial intelligence in future pandemics.pdf

description: This scientific article explores the potential of artificial intelligence (AI) to mitigate and prevent future pandemics. Through a comprehensive analysis of current AI applications in the field of health, the unique capabilities of this technology to address pandemic challenges are highlighted. AI can improve early disease detection through the analysis of large volumes of data, enabling more effective epidemiological surveillance. Additionally, AI models can predict disease spread and assist experts in making informed decisions regarding control measures. AI also plays a crucial role in the development of vaccines and drugs, accelerating the discovery and optimization process. Furthermore, AI can support remote healthcare by facilitating telemedicine and real-time patient monitoring. While there are ethical and privacy challenges associated with the use of AI, it is evident that this technology can play a fundamental role in preparing for and responding to future pandemics, significantly improving global health and societal well-being.
DOI: 10.5281/zenodo.8063247
title: Applicability and limiations of Cluster Perturbation Theory for Hubbard models

description: These are the Cluster Greensfunctions that were used in the paper "Applicability and limiations of Cluster<br> Perturbation Theory for Hubbard models" published as part of the special edition “S.I.: Non-Equilibrium Quantum<br> Physics, Many Body Systems, and Foundations of Quantum Mechanics” in the European Journal of Phyiscs in 2023.<br> The Greensfunctions were generated via a Chebyshev expansion and are currently in a real space representation.<br> You may use python and import them via numpy as follows: ```console<br> import numpy as np MC = &lt;number_of_sites&gt; # Here you have to add the number of cluster sites (e.g. 16 for a 4x4 cluster) greensfunctions = np.genfromtxt("&lt;file_name&gt;")<br> greensfunctions = greensfunctions.reshape(greensfunctions.shape[0], MC, MC)<br> ``` This way you obtain a tensor where the first dimension corresponds to the frequency and the other two<br> to the real space indices. For further questions please contact the corresponding author Nicklas Enenkel via E-mail<br> (nicklas.enenkel@quantumsimulations.de)
description: This work was supported by the BMBF via the grant no. 13N15576
DOI: 10.5281/zenodo.8063246
title: Applicability and limiations of Cluster Perturbation Theory for Hubbard models

description: These are the Cluster Greensfunctions that were used in the paper "Applicability and limiations of Cluster<br> Perturbation Theory for Hubbard models" published as part of the special edition “S.I.: Non-Equilibrium Quantum<br> Physics, Many Body Systems, and Foundations of Quantum Mechanics” in the European Journal of Phyiscs in 2023.<br> The Greensfunctions were generated via a Chebyshev expansion and are currently in a real space representation.<br> You may use python and import them via numpy as follows: ```console<br> import numpy as np MC = &lt;number_of_sites&gt; # Here you have to add the number of cluster sites (e.g. 16 for a 4x4 cluster) greensfunctions = np.genfromtxt("&lt;file_name&gt;")<br> greensfunctions = greensfunctions.reshape(greensfunctions.shape[0], MC, MC)<br> ``` This way you obtain a tensor where the first dimension corresponds to the frequency and the other two<br> to the real space indices. For further questions please contact the corresponding author Nicklas Enenkel via E-mail<br> (nicklas.enenkel@quantumsimulations.de)
description: This work was supported by the BMBF via the grant no. 13N15576
DOI: 10.6084/m9.figshare.23552826
title: THE IMPACT OF GREEN HRM ON GREEN IT ATTITUDES AND BELIEFS IN INFORMATION TECHNOLOGY SECTOR

description: This is a .csv file for the first 14 respondents to my research survey. It carries responses of individuals as filled by them through the provided link. The anonymity of employees was maintained.