cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8279706
title: Jet feature data from PAMIP model simulations

description: Author: Yvonne Anderson Contact: ee22ya@leeds.ac.uk Dataset created: 21/08/2023 Paper title: Minimal influence of future Arctic sea ice loss on North Atlantic jet stream morphology <strong>Dataset information</strong> CSV files contain arrays of daily jet feature data for all ensemble member winters for a given model. Dimensions of the arrays are (number of ensemble members, 90 winter days). <strong>Filename structure</strong> Filenames of CSV files can be interpreted as: timeperiod_jetfeature_model.csv <strong>Example filename structure</strong> Time period Jet feature Model Example filename Present-day Latitude AWI-CM-1-1-MR present-day_jet_latitude_AWI-CM-1-1-MR.csv Future Speed HadGEM3-GC31-MM future_jet_speed_HadGEM3-GC31-MM.csv <strong>Jet feature description</strong> Jet feature data are for the largest mass jet region found on each day of winter, where jet mass is the area weighted jet speed. The jet features and corresponding units contained in the csv files are as follows: Jet feature Units Latitude ° Speed ms<sup>-1</sup> Mass ms<sup>-1</sup> Tilt ° Area m<sup>2</sup> <strong>Time periods</strong> Time periods are present-day and future, which refer to simulations forced by present-day and future sea ice concentrations, from which the jet features have been extracted. <strong>Models</strong> Models are AWI-CM-1-1-MR, CanESM5, FGOALS-f3-L, HadGEM3-GC31-MM, IPSL-CM6A-LR and MIROC6 from the Polar Amplification Model Intercomparison Project (PAMIP; https://doi.org/10.5194/gmd-12-1139-2019) <strong>Spatial and temporal information</strong> Arrays contain daily jet feature data that has been constrained to the North Atlantic region (0-60 &deg; W, 15-75 &deg; N) and to the winter period (December, January and February) <strong>Prior processing</strong> Original dataset: netcdf files of daily zonal wind data from Polar Amplification Model Intercomparison Project simulations forced by present-day and future sea ice concentrations 850 hPa wind speed data was extracted and regridded to 2.81 ° x 2.81 ° resolution Constrained to North Atlantic region and winter period Wind speed data was filtered using a 10-day Lanczos filter with a 61 day window Jet feature data was extracted for each day in ensemble member winters and saved to numpy arrays <strong>Example code for loading jet variables from csv file</strong> To generate a numpy array of jet variable arrays contained in the csv file: <pre><code class="language-python">loaded_jet_variable_arrays = np.genfromtxt((path_to_file/filename.csv'), delimiter=',')</code></pre> To combine arrays for all ensemble member winters, which allows plotting of daily jet feature distributions: <pre><code class="language-python">jet_variable_array_all_winters = np.concatenate(loaded_jet_variable_arrays)</code></pre>
DOI: 10.25345/c5kd1qw52
title: MassIVE MSV000092742 - Lipids from Latent Fingerprints
title: Lipid profiles collected from latent fingerprints.
DOI: 10.34740/kaggle/dsv/6358485
title: Natural Questions Answering
DOI: 10.5281/zenodo.8266688
title: Data included in "Canopy leaching rather than desorption of PM2.5 from leaves is the dominant source of throughfall dissolved organic carbon in forest"

description: Concentrations, optical properties, and carbon isotopic ratios of dissolved organic carbon in precipitation and throughfall, as well as concentrations and carbon isotopic ratios of total carbon in PM2.5, at the Taehwa Research Forest in South Korea
DOI: 10.5281/zenodo.8266687
title: Data included in "Canopy leaching rather than desorption of PM2.5 from leaves is the dominant source of throughfall dissolved organic carbon in forest"

description: Concentrations, optical properties, and carbon isotopic ratios of dissolved organic carbon in precipitation and throughfall, as well as concentrations and carbon isotopic ratios of total carbon in PM2.5, at the Taehwa Research Forest in South Korea
DOI: 10.5281/zenodo.8279507
title: Biofluorescence reveals hidden patterns in chitons Ischnoplax pectinata (Mollusca: Polyplacophora) with implications to visual ecology.

description: Spectral raw data from "Biofluorescence reveals hidden patterns in chitons <em>Ischnoplax pectinata</em> (Mollusca: Polyplacophora) with implications to visual ecology."
DOI: 10.5281/zenodo.8279506
title: Biofluorescence reveals hidden patterns in chitons Ischnoplax pectinata (Mollusca: Polyplacophora) with implications to visual ecology.

description: Spectral raw data from "Biofluorescence reveals hidden patterns in chitons <em>Ischnoplax pectinata</em> (Mollusca: Polyplacophora) with implications to visual ecology."
DOI: 10.5281/zenodo.8279466
title: Late Cenozoic Sea Surface Temperature evolution of the South Atlantic Ocean (Data sets)

description: Supplementary datasets affiliated with the Hoem et al., 2023 publication in Climate of the past: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-291/ Supplementary Table 3: GDGT results Site 696 Supplementary Table 4: GDGT results SiteU1536
DOI: 10.5281/zenodo.8279465
title: Late Cenozoic Sea Surface Temperature evolution of the South Atlantic Ocean (Data sets)

description: Supplementary datasets affiliated with the Hoem et al., 2023 publication in Climate of the past: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-291/ Supplementary Table 3: GDGT results Site 696 Supplementary Table 4: GDGT results SiteU1536
DOI: 10.5517/ccdc.csd.cc1m6z3x
title: CCDC 1496249: Experimental Crystal Structure Determination

description: Related Article: Yang Wang, Xiao-Meng Lin, Feng-Ying Bai, Li-Xian Sun|2017|J.Mol.Struct.|1149|379|doi:10.1016/j.molstruc.2017.07.015
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.cc20hhcd
title: CCDC 1861933: Experimental Crystal Structure Determination

description: Related Article: Tawseef Ahmad Dar, Bhawna Uprety, Muniappan Sankar, Mannar R. Maurya|2019|Green Chemistry|21|1757|doi:10.1039/C8GC03909G
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.cc23y0y1
title: CCDC 1964313: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and Klaus H. Theopold|2019|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.cc21xtwp
title: CCDC 1904543: Experimental Crystal Structure Determination

description: Related Article: Hussein Kanso, Ryan M. Clarke, Amélie Kochem, Himanshu Arora, Christian Philouze, Olivier Jarjayes, Tim Storr, Fabrice Thomas|2020|Inorg.Chem.|59|5133|doi:10.1021/acs.inorgchem.0c00381
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.cc24nc28
title: CCDC 1985769: Experimental Crystal Structure Determination

description: Related Article: Abhishek Maurya|2020|J.Iran.Chem.Soc.|17|3261|doi:10.1007/s13738-020-01988-x
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.cc24pl2j
title: CCDC 1986947: Experimental Crystal Structure Determination

description: Related Article: Takahiro Sasamori|2020|CSD Communication|||
description: Related Article: Atanu Banerjee, Monalisa Mohanty, Sudhir Lima, Rajib Samanta, Eugenio Garribba, Takahiro Sasamori, Rupam Dinda|2020|New J.Chem.|44|10946|doi:10.1039/D0NJ01246G
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.cc24pl3k
title: CCDC 1986948: Experimental Crystal Structure Determination

description: Related Article: Takahiro Sasamori|2020|CSD Communication|||
description: Related Article: Atanu Banerjee, Monalisa Mohanty, Sudhir Lima, Rajib Samanta, Eugenio Garribba, Takahiro Sasamori, Rupam Dinda|2020|New J.Chem.|44|10946|doi:10.1039/D0NJ01246G
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: 10.6084/m9.figshare.24025857
title: non_entero_assemblies.tar.gz

description: All non enterobase assemblies used in serotyping study
DOI: 10.5281/zenodo.8279786
title: amazona_versicolor_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279785
title: amazona_versicolor_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.5555012
title: Daily opening stock gas storage data for Great Britain from 2010-10-01

description: The original data is from https://www.nationalgrid.com/uk/gas-transmission/data-and-operations/transmission-operational-data under supplementary reports ‘storage and LNG operator information’ and ‘Daily storage and LNG operator information’
DOI: 10.5281/zenodo.6345220
title: Daily opening stock gas storage data for Great Britain from 2010-10-01

description: Original data is from https://www.nationalgrid.com/uk/gas-transmission/data-and-operations/transmission-operational-data under supplementary reports ‘storage and LNG operator information’ and ‘Daily storage and LNG operator information’ Please check the licence conditions from National Grid - the data published here is merely combined from different files and parsed into a more useable format.
DOI: 10.5281/zenodo.7258245
title: Daily opening stock gas storage data for Great Britain from 2010-10-01

description: Original data is from https://www.nationalgrid.com/uk/gas-transmission/data-and-operations/transmission-operational-data under supplementary reports ‘storage and LNG operator information’ and ‘Daily storage and LNG operator information’ Please check the licence conditions from National Grid - the data published here is merely combined from different files and parsed into a more useable format.
DOI: 10.5519/qd.mui8tf28
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (46 records)
DOI: 10.5281/zenodo.8279812
title: amazona_xantholora_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279811
title: amazona_xantholora_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279816
title: brotogeris_tirica_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279815
title: brotogeris_tirica_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8270545
title: iWanDroid: Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps

description: The repo contains the tool iWanDroid: Artifacts for the paper Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps, accepted at ISSRE 2023. Android hybrid apps augment native apps with web and inter-language communication capabilities. These apps facilitate the integration of web components, including JavaScript, into native apps. Besides, they allow a two-way communication where JavaScript can utilize functionality shared by the native side (Java). However, due to operational differences between Java and JavaScript, the semantics of this communication are complex. Tracking information flows via this communication channel, i.e., between these heterogeneous platforms, becomes intricate. Multiple approaches have been proposed to analyze hybrid apps. However, most of them focus on specific classes of web-induced vulnerabilities or provide rudimentary tracking of specific information flows via this communication channel. This work proposes a demand-driven analysis to comprehensively track information flow violations from the native side to JavaScript and vice-versa. To this end, our framework selectively creates data flow summaries of the shared native-side code based on its usage in the corresponding JavaScript code. We demonstrate the efficacy of our approach by applying it to various benchmarks and large-scale apps.
DOI: 10.5281/zenodo.8271064
title: iWanDroid: Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps

description: The repo contains the tool iWanDroid: Artifacts for the paper Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps, accepted at ISSRE 2023. Android hybrid apps augment native apps with web and inter-language communication capabilities. These apps facilitate the integration of web components, including JavaScript, into native apps. Besides, they allow a two-way communication where JavaScript can utilize functionality shared by the native side (Java). However, due to operational differences between Java and JavaScript, the semantics of this communication are complex. Tracking information flows via this communication channel, i.e., between these heterogeneous platforms, becomes intricate. Multiple approaches have been proposed to analyze hybrid apps. However, most of them focus on specific classes of web-induced vulnerabilities or provide rudimentary tracking of specific information flows via this communication channel. This work proposes a demand-driven analysis to comprehensively track information flow violations from the native side to JavaScript and vice-versa. To this end, our framework selectively creates data flow summaries of the shared native-side code based on its usage in the corresponding JavaScript code. We demonstrate the efficacy of our approach by applying it to various benchmarks and large-scale apps.
DOI: 10.5281/zenodo.8270544
title: iWanDroid: Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps

description: The repo contains the tool iWanDroid: Artifacts for the paper Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps, accepted at ISSRE 2023. Android hybrid apps augment native apps with web and inter-language communication capabilities. These apps facilitate the integration of web components, including JavaScript, into native apps. Besides, they allow a two-way communication where JavaScript can utilize functionality shared by the native side (Java). However, due to operational differences between Java and JavaScript, the semantics of this communication are complex. Tracking information flows via this communication channel, i.e., between these heterogeneous platforms, becomes intricate. Multiple approaches have been proposed to analyze hybrid apps. However, most of them focus on specific classes of web-induced vulnerabilities or provide rudimentary tracking of specific information flows via this communication channel. This work proposes a demand-driven analysis to comprehensively track information flow violations from the native side to JavaScript and vice-versa. To this end, our framework selectively creates data flow summaries of the shared native-side code based on its usage in the corresponding JavaScript code. We demonstrate the efficacy of our approach by applying it to various benchmarks and large-scale apps.
DOI: 10.5281/zenodo.8279731
title: iWanDroid: Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps

description: The repo contains the tool iWanDroid: Artifacts for the paper Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps, accepted at ISSRE 2023. Android hybrid apps augment native apps with web and inter-language communication capabilities. These apps facilitate the integration of web components, including JavaScript, into native apps. Besides, they allow a two-way communication where JavaScript can utilize functionality shared by the native side (Java). However, due to operational differences between Java and JavaScript, the semantics of this communication are complex. Tracking information flows via this communication channel, i.e., between these heterogeneous platforms, becomes intricate. Multiple approaches have been proposed to analyze hybrid apps. However, most of them focus on specific classes of web-induced vulnerabilities or provide rudimentary tracking of specific information flows via this communication channel. This work proposes a demand-driven analysis to comprehensively track information flow violations from the native side to JavaScript and vice-versa. To this end, our framework selectively creates data flow summaries of the shared native-side code based on its usage in the corresponding JavaScript code. We demonstrate the efficacy of our approach by applying it to various benchmarks and large-scale apps.
DOI: 10.5517/cc7hb34
title: CCDC 223265: Experimental Crystal Structure Determination

description: Related Article: M.B.Hursthouse, T.Gelbrich, C.J.Richards|2003|CSD Communication|||
description: Related Article: Chris J. Richards, Thomas Gelbrich, Michael B. Hursthouse|2001|University of Southampton, Crystal Structure Report Archive||836|
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.7569646
title: TG-CSR: Theoretically-Grounded Commonsense Reasoning Benchmark

description: Achieving machine common sense has been a longstanding problem within Artificial Intelligence. Thus far, benchmark data sets that are grounded in a theory of common sense and can be used to conduct rigorous, semantic evaluations of common sense reasoning (CSR) systems have been lacking. One expectation of the AI community is that neuro-symbolic reasoners can help bridge this gap towards more dependable systems with common sense. We propose a novel benchmark, called <em>Theoretically Grounded common sense Reasoning (TG-CSR)</em>, modeled as a set of question-answering instances, with each instance grounded in a semantic category of common sense, such as space, time, and emotions. The benchmark is few-shot i.e., only a few training and validation examples are provided in the public release to avoid the possibility of overfitting. Results from recent evaluations suggest that TG-CSR is challenging even for state-of-the-art statistical models. Due to its semantic rigor, this benchmark can be used to evaluate the common sense reasoning capabilities of neuro-symbolic systems.
DOI: 10.5281/zenodo.7569647
title: TG-CSR: Theoretically-Grounded Commonsense Reasoning Benchmark

description: Achieving machine common sense has been a longstanding problem within Artificial Intelligence. Thus far, benchmark data sets that are grounded in a theory of common sense and can be used to conduct rigorous, semantic evaluations of common sense reasoning (CSR) systems have been lacking. One expectation of the AI community is that neuro-symbolic reasoners can help bridge this gap towards more dependable systems with common sense. We propose a novel benchmark, called <em>Theoretically Grounded common sense Reasoning (TG-CSR)</em>, modeled as a set of question-answering instances, with each instance grounded in a semantic category of common sense, such as space, time, and emotions. The benchmark is few-shot i.e., only a few training and validation examples are provided in the public release to avoid the possibility of overfitting. Results from recent evaluations suggest that TG-CSR is challenging even for state-of-the-art statistical models. Due to its semantic rigor, this benchmark can be used to evaluate the common sense reasoning capabilities of neuro-symbolic systems.
DOI: 10.5281/zenodo.8269364
title: TG-CSR: Theoretically-Grounded Commonsense Reasoning Benchmark

description: Achieving machine common sense has been a longstanding problem within Artificial Intelligence. Thus far, benchmark data sets that are grounded in a theory of common sense and can be used to conduct rigorous, semantic evaluations of common sense reasoning (CSR) systems have been lacking. One expectation of the AI community is that neuro-symbolic reasoners can help bridge this gap towards more dependable systems with common sense. We propose a novel benchmark, called <em>Theoretically Grounded common sense Reasoning (TG-CSR)</em>, modeled as a set of question-answering instances, with each instance grounded in a semantic category of common sense, such as space, time, and emotions. The benchmark is few-shot i.e., only a few training and validation examples are provided in the public release to avoid the possibility of overfitting. Results from recent evaluations suggest that TG-CSR is challenging even for state-of-the-art statistical models. Due to its semantic rigor, this benchmark can be used to evaluate the common sense reasoning capabilities of neuro-symbolic systems.
DOI: 10.5517/ccnr17n
title: CCDC 617961: Experimental Crystal Structure Determination

description: Related Article: M.B.Hursthouse, O.E.Hibbs, P.C.B.Page|2003|CSD Communication|||
description: Related Article: Simon J. Coles, Michael B. Hursthouse, Steven J. Lamond|2009|University of Southampton, Crystal Structure Report Archive||822|
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: 10.5523/bris.3s3ab1sgszqy52escorp07ss8j
title: LoMAPP

description: LoMAPP: Localisation state as a MedicAtion Proxy in Parkinson's disease. This dataset is linked to a paper published through the conference 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (https://kdd.org/kdd2023/). Title of paper: Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting. Authors: Ferdian Jovan, Catherine Morgan, Ryan McConville, Emma L. Tonkin, Ian Craddock, Alan Whone. The dataset creation is described in this paper.
DOI: 10.5519/qd.aaozydoe
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (216 records)
DOI: 10.5281/zenodo.8279831
title: forpus_coelesti_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279830
title: forpus_coelesti_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279855
title: forpus_coelesti_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279854
title: forpus_coelesti_decontaminated_FSCR.fasta.gz

description: .