cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24268825
title: SuppData11.xlsx

description: Ancestral Linkage Groups (ALGs) conserved among the three species <i>Ptychodera flava</i>, <i>Strongylocentrotus purpuratus</i> and <i>Branchiostoma floridae</i>, with their corresponding geneIDs.Supplementary data for "Insights into deuterostome evolution from the biphasic transcriptional programmes of hemichordates".
DOI: 10.6084/m9.figshare.24268825.v1
title: SuppData11.xlsx

description: Ancestral Linkage Groups (ALGs) conserved among the three species <i>Ptychodera flava</i>, <i>Strongylocentrotus purpuratus</i> and <i>Branchiostoma floridae</i>, with their corresponding geneIDs.Supplementary data for "Insights into deuterostome evolution from the biphasic transcriptional programmes of hemichordates".
DOI: 10.6084/m9.figshare.24256069
title: Dimorphos orbit solution JPL 547

description: Supplementary material for paper titled "Orbital and physical characterization of asteroid Dimorphos following the DART impact"
DOI: 10.34740/kaggle/dsv/6640402
title: bike seoul sharing
DOI: 10.5281/zenodo.6672560
title: Survival data of Agriotes obscurus beetles exposed to Metarhizium brunneum sporulating cadavers

description: The dataset contains survival and mycosis data of <em>Agriotes obscurus</em> male beetles exposed to <em>Metarhizium brunneum</em> sporulating cadavers, or soil contaminated by sporulating cadavers.
DOI: 10.5281/zenodo.6672559
title: Survival data of Agriotes obscurus beetles exposed to Metarhizium brunneum sporulating cadavers

description: The dataset contains survival and mycosis data of <em>Agriotes obscurus</em> male beetles exposed to <em>Metarhizium brunneum</em> sporulating cadavers, or soil contaminated by sporulating cadavers.
DOI: 10.6084/m9.figshare.24268795
title: Comparison matrix of risk factors extracted from (Chikodzi, 2013)

description: This dataset is an extraction from the cited authors and does not in anyway connotes ownership. it has just been used to explain how the research has been carries outThe data and codes that support the findings of this study are available with the identifier(s) at the private link
DOI: 10.6084/m9.figshare.24268795.v1
title: <b>IS IT POSSIBLE TO PREDICT MALARIA VIA GIS, (HOW WILL IT APPLICATION BENEFIT NIGERIA): a review</b>.odt

description: <i>This study aims to review how GIS tools have been used around the world in malaria research and its importance in public health improvement. The study entails review of state of the art and comparison between selected research approach to arrive at a judgment of how GIS can also be applied in the use case country (Nigeria). The study concludes by highlighting the importance GIS offers in predicting, controlling, and managing malaria in regions that are inflicted with the disease and how vital it is to public health management in Nigeria.</i>
DOI: 10.5281/zenodo.8419215
title: Parallel window decoding enables scalable fault tolerant quantum computation

description: Dataset containing raw data presented in the publication <em>"Parallel window decoding enables scalable fault tolerant quantum computation"</em> as well as the stim circuits used to sample circuit-level noise.
description: SI_Fig2_raw_data and SI_Fig3_raw_data contain the raw data used for plots in Supporting information Figures 2 and 3 respectively.
DOI: 10.5281/zenodo.8419229
title: Parallel window decoding enables scalable fault tolerant quantum computation

description: Dataset containing raw data presented in the publication <em>"Parallel window decoding enables scalable fault tolerant quantum computation"</em> as well as the stim circuits used to sample circuit-level noise.
description: SI_Fig2_raw_data and SI_Fig3_raw_data contain the raw data used for plots in Supporting information Figures 2 and 3 respectively.
DOI: 10.5281/zenodo.8419233
title: Parallel window decoding enables scalable fault tolerant quantum computation

description: Dataset containing raw data presented in the publication <em>"Parallel window decoding enables scalable fault tolerant quantum computation"</em> as well as the stim circuits used to sample circuit-level noise.
description: SI_Fig2_raw_data and SI_Fig3_raw_data contain the raw data used for plots in Supporting information Figures 2 and 3 respectively.
DOI: 10.5281/zenodo.8419234
title: Parallel window decoding enables scalable fault tolerant quantum computation

description: Dataset containing raw data presented in the publication <em>"Parallel window decoding enables scalable fault tolerant quantum computation"</em> as well as the stim circuits used to sample circuit-level noise.
description: SI_Fig2_raw_data and SI_Fig3_raw_data contain the raw data used for plots in Supporting information Figures 2 and 3 respectively.
DOI: 10.5281/zenodo.8419214
title: Parallel window decoding enables scalable fault tolerant quantum computation

description: Dataset containing raw data presented in the publication <em>"Parallel window decoding enables scalable fault tolerant quantum computation"</em> as well as the stim circuits used to sample circuit-level noise.
description: SI_Fig2_raw_data and SI_Fig3_raw_data contain the raw data used for plots in Supporting information Figures 2 and 3 respectively.
DOI: 10.5281/zenodo.8419002
title: RnR-ExM Test Dataset

description: This dataset was released as part of the 2023 ISBI challenge, RnR-ExM. The organizers thank Ruihan Zhang (MIT), Margaret Elizabeth Schroeder (MIT) and Chi Zhang (MIT) for contributing data to this competition.
DOI: 10.5281/zenodo.8419001
title: RnR-ExM Test Dataset

description: This dataset was released as part of the 2023 ISBI challenge, RnR-ExM. The organizers thank Ruihan Zhang (MIT), Margaret Elizabeth Schroeder (MIT) and Chi Zhang (MIT) for contributing data to this competition.
DOI: 10.5281/zenodo.8419282
title: Spectral database of Streptococcus pneumoniae, S. mitis and S. pseudopneumoniae (MALDI-TOF Mass Spectrometry)

description: A total of 80 strains, including 60 <strong>pneumococca</strong>l strains, 8 <strong><em>S. pseudopneumoniae</em> </strong>strains, and 12 <strong><em>S. mitis</em></strong> strains, were molecularly characterized and obtained from the National Reference Center for Pneumococci for the creation of the database. Each strain was tested a minimum of 20 and a maximum of 24 times using MALDI-TOF MS. <br> MALDI-TOF MS acquisition and analysis. Mass spectra were acquired using a Microflex LT instrument (Bruker Daltonics). The standard parameters of the CE-IVD method recommended by the manufacturer were used. This instrument was equipped with an N2 laser (377 nm) using the following parameters: mass range, 2,000 to 20,000 Da; ion source 1, 20 kV; ion source 2, 18.15 kV; lens, 6 kV; pulsed ion extraction, 150 ns; laser frequency, 20 Hz. A manual external calibration standard (Bacterial Test Standard; Bruker Daltonics) was used for calibration. Data acquisition was performed using FlexControl (version 3.0; Bruker Daltonics). <strong>Eight deposits were performed for each isolate.</strong> The dried spots were coated with 1 µl of α-cyano-4-hydroxycinnamic acid (a-HCCA) in 50% acetonitrile-2.5% trifluoroacetic acid and <strong>each spot was analysed three times by MALDI-TOF MS</strong>. <strong>A total of 1890 spectra were produced :</strong> <em>S. mitis</em> (n=264), <em>S.pneumoniae</em> (n= 1434), <em>S. pseudopneumoniae </em>(n=192) <strong>Fore more details:</strong> please contact alexandre.godmer@aphp.fr
DOI: 10.5281/zenodo.8419281
title: Spectral database of Streptococcus pneumoniae, S. mitis and S. pseudopneumoniae (MALDI-TOF Mass Spectrometry)

description: A total of 80 strains, including 60 <strong>pneumococca</strong>l strains, 8 <strong><em>S. pseudopneumoniae</em> </strong>strains, and 12 <strong><em>S. mitis</em></strong> strains, were molecularly characterized and obtained from the National Reference Center for Pneumococci for the creation of the database. Each strain was tested a minimum of 20 and a maximum of 24 times using MALDI-TOF MS. <br> MALDI-TOF MS acquisition and analysis. Mass spectra were acquired using a Microflex LT instrument (Bruker Daltonics). The standard parameters of the CE-IVD method recommended by the manufacturer were used. This instrument was equipped with an N2 laser (377 nm) using the following parameters: mass range, 2,000 to 20,000 Da; ion source 1, 20 kV; ion source 2, 18.15 kV; lens, 6 kV; pulsed ion extraction, 150 ns; laser frequency, 20 Hz. A manual external calibration standard (Bacterial Test Standard; Bruker Daltonics) was used for calibration. Data acquisition was performed using FlexControl (version 3.0; Bruker Daltonics). <strong>Eight deposits were performed for each isolate.</strong> The dried spots were coated with 1 µl of α-cyano-4-hydroxycinnamic acid (a-HCCA) in 50% acetonitrile-2.5% trifluoroacetic acid and <strong>each spot was analysed three times by MALDI-TOF MS</strong>. <strong>A total of 1890 spectra were produced :</strong> <em>S. mitis</em> (n=264), <em>S.pneumoniae</em> (n= 1434), <em>S. pseudopneumoniae </em>(n=192) <strong>Fore more details:</strong> please contact alexandre.godmer@aphp.fr
DOI: 10.6084/m9.figshare.24268867
title: example-file.xlsx

description: Data for Causal Map 3 functions
DOI: 10.6084/m9.figshare.24266101
title: Salinity_WT Project

description: Salinity-affected agricultural systems are distributed throughout the world and a quantitative assessment of soil salinity-wind erosion nexus is therefore critically important in understanding dust feedbacks to climate, soil degradation, air quality, and soil erosion control. This study investigated how the use of slightly saline irrigation water may affect soil susceptibility to wind erosion and the dust emission potential of dry soils, and how these processes are affected by the amount of clay in the soil. The data sets include particle size distribution (wet, dry dispersion), threshold velocities for wind erosion, soil crust strength (penetrometer) measurements and dust emission potential.
DOI: 10.6084/m9.figshare.24266101.v1
title: Salinity_WT Project

description: Salinity-affected agricultural systems are distributed throughout the world and a quantitative assessment of soil salinity-wind erosion nexus is therefore critically important in understanding dust feedbacks to climate, soil degradation, air quality, and soil erosion control. This study investigated how the use of slightly saline irrigation water may affect soil susceptibility to wind erosion and the dust emission potential of dry soils, and how these processes are affected by the amount of clay in the soil. The data sets include particle size distribution (wet, dry dispersion), threshold velocities for wind erosion, soil crust strength (penetrometer) measurements and dust emission potential.
DOI: 10.21227/bs5n-pz03
title: Data and code for "Adversarial Destabilization Attacks to Direct Data-driven Control"

description: This is a MATLAB code and data for the work [1]."code" folder includes MATLAB codes.Requirements: Control System Toolbox, Parallel Computing Toolbox, cvx"data" folder includes the data described in the manuscript.[1] Hampei Sasahara, "Adversarial Destabilization Attacks to Direct Data-driven Control," submitted to IEEE OJ-CSYS, 2023.Abstract: This paper examines the vulnerability of direct data-driven control to malicious attacks that aim at destabilizing the resulting closed-loop system by introducing a subtle yet sophisticated perturbation into the observed input and output data. An effective attack method called the directed gradient sign method (DGSM) is devised. It build upon the fast gradient sign method (FGSM), which has initially been developed in the context of image classification. DGSM utilizes the gradient of the eigenvalues in the resulting closed-loop system to create a severe perturbation in the direction that deteriorates system's stability. This study demonstrates that the attack can destabilize the system, even when the original closed-loop system designed with the clean data exhibits a considerable stability margin. Remarkably, it is shown that the attack can have a significant impact even when the attacker lacks complete knowledge of the data and hyperparameters in the controller design algorithm. Furthermore, to enhance resilience against such attacks, regularization methods originally developed for dealing with random disturbances are explored. Their effectiveness is verified through numerical experiments. Finally, statistical analysis with randomly generated systems identifies system's features significant to the attack impact.
DOI: 10.6084/m9.figshare.24268882
title: SUD2023

description: GWAS summary statistics from the Psychiatric Genomics Consortium (PGC)Publication: Hatoum, A.S., Colbert, S.M.C., Johnson, E.C. <i>et al.</i> Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders. <i>Nat. Mental Health</i> <b>1</b>, 210–223 (2023). https://doi.org/10.1038/s44220-023-00034-y
DOI: 10.5281/zenodo.6364593
title: Global map of Local Climate Zones

description: A global 100 m spatial resolution Local Climate Zone (LCZ) map, derived from multiple earth observation datasets and expert LCZ class labels. The LCZ map is based on the LCZ typology (Stewart and Oke, 2012) that distinguish urban surfaces accounting for their typical combination of micro-scale land-covers and associated physical properties. The LCZ scheme is distinguished from other land use / land cover schemes by its focus on urban and rural landscape types, which can be described by any of the 17 classes in the LCZ scheme. Out of the 17 LCZ classes, 10 reflect the 'built' environment, and each LCZ type is associated with generic numerical descriptions of key urban canopy parameters critical to model atmospheric responses to urbanisation. In addition, since LCZs were originally designed as a new framework for urban heat island studies (Stewart and Oke, 2012), they also contain a limited set (7) of 'natural' land-cover classes that can be used as 'control' or 'natural reference' areas. As these seven natural classes in the LCZ scheme can not capture the heterogeneity of the world’s existing natural ecosystems, we advise users - if required - to combine the built LCZ classes with any other land-cover product that provides a wider range of natural land-cover classes. <em>Stewart ID, Oke TR. (2012). Local Climate Zones for Urban Temperature Studies. Bull Am Meteorol Soc. 93(12):1879-1900. doi:10.1175/BAMS-D-11-00019.1</em>
description: See readme.txt for additional information
DOI: 10.5281/zenodo.8419340
title: Global map of Local Climate Zones

description: A global 100 m spatial resolution Local Climate Zone (LCZ) map, derived from multiple earth observation datasets and expert LCZ class labels. The LCZ map is based on the LCZ typology (Stewart and Oke, 2012) that distinguish urban surfaces accounting for their typical combination of micro-scale land-covers and associated physical properties. The LCZ scheme is distinguished from other land use / land cover schemes by its focus on urban and rural landscape types, which can be described by any of the 17 classes in the LCZ scheme. Out of the 17 LCZ classes, 10 reflect the 'built' environment, and each LCZ type is associated with generic numerical descriptions of key urban canopy parameters critical to model atmospheric responses to urbanisation. In addition, since LCZs were originally designed as a new framework for urban heat island studies (Stewart and Oke, 2012), they also contain a limited set (7) of 'natural' land-cover classes that can be used as 'control' or 'natural reference' areas. As these seven natural classes in the LCZ scheme can not capture the heterogeneity of the world’s existing natural ecosystems, we advise users - if required - to combine the built LCZ classes with any other land-cover product that provides a wider range of natural land-cover classes. <em>Stewart ID, Oke TR. (2012). Local Climate Zones for Urban Temperature Studies. Bull Am Meteorol Soc. 93(12):1879-1900. doi:10.1175/BAMS-D-11-00019.1</em>
description: See readme.txt for additional information
DOI: 10.6084/m9.figshare.21989720.v2
title: An alternative evolutionary scenario from methanogens to haloarchaea: Insights from the novel class Ordosarchaeia

description: These are the raw data and scripts for the manuscript "An alternative evolutionary scenario from methanogens to haloarchaea: Insights from the novel class Ordosarchaeia".
DOI: 10.5281/zenodo.8419463
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Rasmus William Traugott Schlick, http://www.wikidata.org/entity/Q114700211. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q114700211
DOI: 10.5281/zenodo.8419462
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Rasmus William Traugott Schlick, http://www.wikidata.org/entity/Q114700211. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q114700211
DOI: 10.7931/6y1w-s375
title: Dataset: Invasive mammal control selects for trap-recalcitrant behaviour and personality
DOI: 10.5281/zenodo.8414928
title: Bibliografia romanului în limba română tradus în limba polonă până în 2023

description: Documentul de față își propune să înregistreze toate romanele în limba română traduse direct în limba polonă și publicate integral (în volum ori în foileton) sau fragmentar în Polonia între 1931 și 2023 (octombrie).
DOI: 10.5281/zenodo.8414927
title: Bibliografia romanului în limba română tradus în limba polonă până în 2023

description: Documentul de față își propune să înregistreze toate romanele în limba română traduse direct în limba polonă și publicate integral (în volum ori în foileton) sau fragmentar în Polonia între 1931 și 2023 (octombrie).
DOI: 10.34740/kaggle/dsv/6641317
title: US counties COVID 19 dataset
DOI: 10.5281/zenodo.8330328
title: Dataset and Model Files for the Paper "Concrete Type Inference for Code Optimization using Machine Learning with SMT Solving"

description: Dataset and model files for the paper "Concrete Type Inference for Code Optimization using Machine Learning with SMT Solving".
DOI: 10.5281/zenodo.8330329
title: Dataset and Model Files for the Paper "Concrete Type Inference for Code Optimization using Machine Learning with SMT Solving"

description: Dataset and model files for the paper "Concrete Type Inference for Code Optimization using Machine Learning with SMT Solving".
DOI: 10.6084/m9.figshare.14538648
title: Typology and pressure shapefiles

description: Contains typology and pressure shapefiles for three NZJAR papers
DOI: 10.34740/kaggle/dsv/6641444
title: Global Crypto Currency Price Database
DOI: 10.15151/esrf-es-1348787371
title: iNEXT Discovery-Instruct ESRF-ERIC; Structural biology for translational research and discovery.

description: The aim of this proposal is to provide user access to automated protein-to-structure and fragment screening pipelines based on the combination of EMBL HTX lab services and CrystalDirect technology and automated data collection at ESRF’s MX beamlines. Access modalities will include 1) Online-Crystallography (Protein-to-Structure pipeline) 2) Large-Scale ligand and Fragment Screening and 3) new Plate-to-beam data collection modalities enabled by the integration of CrystalDirect at MASSIF1. User access to these modalities will require competitive application and peer-review through the E.C. funded iNEXT Discovery and Instruct-ERIC consortia. Moreover, new approaches for high density ligand screening will be implemented and the experimental opportunities enabled by the Integration of CrystalDirect at the MASSIF-1 station will be further developed. This work will be carried out in the context of international collaborative projects.
DOI: 10.26186/148955
title: Northwest Northern Territory Seismic Survey (L214) shape files

description: Geoscience Australia’s Exploring for the Future program provides precompetitive information to inform decision-making by government, community and industry on the sustainable development of Australia's mineral, energy and groundwater resources. By gathering, analysing and interpreting new and existing precompetitive geoscience data and knowledge, we are building a national picture of Australia’s geology and resource potential. The Paleo to Mesoproterozoic Birrindudu Basin is an underexplored frontier basin located in northwestern Northern Territory and northeastern Western Australia. The Birrindudu Basin is a region of focus for the second phase of the EFTF program (2020–2024) as it contains strata of similar age to the prospective McArthur Basin, South Nicholson region and Mount Isa Province, but remains comparatively poorly understood. Geoscience Australia (in collaboration with the Northern Territory Geological Survey) acquired around 700 line-kms of deep crustal reflection seismic data across northwest Northern Territory encompassing not only the frontier Birrindudu Basin but adjacent highly prospective regions, such as the Tanami. This ecat record releases the final survey route shapefiles, noting that some segments were not acquired due to site access restrictions. Seismic field data will be published in the near future release following completion of in-house QA/QC protocols
DOI: 10.5281/zenodo.8419564
title: Pretrained models and simulated data for MICCAI paper Unsupervised Domain Transfer with Conditional Invertible Neural Networks

description: Simulated data and the pretrained models used for the publication "Unsupervised Domain Transfer with Conditional Invertible Neural Networks", see https://link.springer.com/chapter/10.1007/978-3-031-43907-0_73 published at MICCAI 2023.
DOI: 10.5281/zenodo.8419563
title: Pretrained models and simulated data for MICCAI paper Unsupervised Domain Transfer with Conditional Invertible Neural Networks

description: Simulated data and the pretrained models used for the publication "Unsupervised Domain Transfer with Conditional Invertible Neural Networks", see https://link.springer.com/chapter/10.1007/978-3-031-43907-0_73 published at MICCAI 2023.
DOI: 10.5281/zenodo.8408937
title: CHB-MIT epilepsy - preprocessed - 6 patients

description: This dataset is used in the experiments of this publication: K. Vo, M. Vishwanath, R. Srinivasan, N. Dutt, and H. Cao. “Composing Graphical Models with Generative Adversarial Networks for EEG Signal Modeling”, in Proc. of IEEE ICASSP, 2022. The 23-channel interictal EEG recordings from the CHB-MIT epilepsy dataset are used for the experiments. The dataset consists of scalp EEG from pediatric subjects with intractable seizures. We select a subset of 6 patients (chb01-03, chb05-06, chb10) having the same measurement setup, including males and females, 1.5-14 years old. Interictal periods are extracted at least 4-hour away before a seizure onset and after the seizure ends. The signals are low-pass filtered with a cut-off frequency at 50 Hz and scaled to the range [-1,1]. Overall, the dataset contains 43593 signals, from which 70% are used for training and validation, and the other 30% are used as the test set.<br> Each signal is 10-second long (T=10), at a sampling rate of 256 Hz. Additionally, 339 ictal EEG signals are extracted for evaluating epilepsy seizure detection performance.