cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7251546
title: DNA origami book biosensor for multiplex detection of cancer-associated nucleic acids

description: This dataset contains the raw data that were used for the publication entitled, "DNA origami book biosensor for multiplex detection of cancer-associated nucleic acids" published in Nanoscale. Abstract DNA nanotechnology provides a promising approach for the development of biomedical point-of-care diagnostic nanoscale devices that are easy to use and cost-effective, highly sensitive and thus constitute an alternative to expensive, complex diagnostic devices. Moreover, DNA nanotechnology-based devices are particularly advantageous for applications in oncology, owing to being ideally suited for the detection of cancer-associated nucleic acids, including circulating tumor-derived DNA fragments (ctDNAs), circulating microRNAs (miRNAs) and other RNA species. Here, we present a dynamic DNA origami book biosensor that is precisely decorated with arrays of fluorophores acting as donors and acceptors and also fluorescence quenchers that produce a strong optical readout upon exposure to external stimuli for the single or dual detection of target oligonucleotides and miRNAs. This biosensor allowed the detection of target molecules either through the decrease of Förster resonance energy transfer (FRET) or an increase in the fluorescence intensity profile owing to a rotation of the constituent top layer of the structure. Single-DNA origami experiments showed that detection of two targets can be achieved simultaneously within 10 min with a limit of detection in the range of 1–10 pM. Overall, our DNA origami book biosensor design showed sensitive and specific detection of synthetic target oligonucleotides and natural miRNAs extracted from cancer cells. Based on these results, we foresee that our DNA origami biosensor may be developed into a cost-effective point-of-care diagnostic strategy for the specific and sensitive detection of a variety of DNAs and RNAs, such as ctDNAs, miRNAs, mRNAs, and viral DNA/RNAs in human samples.
DOI: 10.14279/depositonce-7547
title: VComputeBench: A Vulkan Benchmark Suite for GPGPU on Mobile and Embedded GPUs

description: GPUs have become immensely important computational units on embedded and mobile devices. However, GPGPU developers are often not able to exploit the compute power offered by GPUs on these devices mainly due to the lack of support of traditional programming models such as CUDA and OpenCL. The recent introduction of the Vulkan API provides a new programming model that could be explored for GPGPU computing on these devices, as it supports compute and promises to be portable across different architectures. In this paper we propose VComputeBench, a set of benchmarks that help developers understand the differences in performance and portability of Vulkan. We also evaluate the suitability of Vulkan as an emerging cross-platform GPGPU framework by conducting a thorough analysis of its performance compared to CUDA and OpenCL on mobile as well as on desktop platforms. Our experiments show that Vulkan provides better platform support on mobile devices and can be regarded as a good crossplatform GPGPU framework. It offers comparable performance and with some low-level optimizations it can offer average speedups of 1.53x and 1.66x compared to CUDA and OpenCL respectively on desktop platforms and 1.59x average speedup compared to OpenCL on mobile platforms. However, while Vulkan’s low-level control can enhance performance, it requires a significantly higher programming effort.
DOI: 10.5281/zenodo.7288212
title: Electrochemical removal of Cu, Fe and Mn from molten ZnCl2:KCl:NaCl

description: The dataset contains raw data and experimental results of electrochemical removal of CuCl, FeCl2, Fecl3 and MnO2 from ZnCl2-KCl-NaCl molten salt.
DOI: 10.5281/zenodo.7288213
title: Electrochemical removal of Cu, Fe and Mn from molten ZnCl2:KCl:NaCl

description: The dataset contains raw data and experimental results of electrochemical removal of CuCl, FeCl2, Fecl3 and MnO2 from ZnCl2-KCl-NaCl molten salt.
DOI: 10.5281/zenodo.4742199
title: Thermodynamic properties of ZnCl2:KCl:NaCl molten salt

description: The dataset contains raw data and experimental results of thermodynamic properties of four different compositions of ZnCl2-KCl-NaCl molten salt. Thermal stability, molten salt and hydrolysis rate of compositions are studied experimentally.
DOI: 10.5281/zenodo.4742200
title: Thermodynamic properties of ZnCl2:KCl:NaCl molten salt

description: The dataset contains raw data and experimental results of thermodynamic properties of four different compositions of ZnCl2-KCl-NaCl molten salt. Thermal stability, molten salt and hydrolysis rate of compositions are studied experimentally.
DOI: 10.14279/depositonce-5830
title: Simultaneous Acquisition of EEG and NIRS during Cognitive Tasks for an Open Access Dataset

description: We provide an open access multimodal brain-imaging dataset of simultaneous electroencephalography (EEG) and near-infrared spectroscopy (NIRS) recordings. Twenty-six healthy subjects performed three standard cognitive tasks: 1) n-back (0-, 2- and 3-back), 2) Go/No-go, and 3) verbal fluency tasks. The data provided includes: 1) measured data, 2) demographic data, and 3) basic analysis results. For n-back (dataset A) and Go/No-go tasks (dataset B), event-related potential (ERP) analysis was performed, and spatiotemporal characteristics and classification results for “target” vs. “non-target” (dataset A) and “Go” vs. “No-go” (dataset B) are provided. Time-frequency analysis was performed to show the EEG power spectrum to differentiate the task-relevant activations. Spatiotemporal characteristics of hemodynamic responses are also shown. For the verbal fluency task (dataset C), the EEG power spectrum and spatiotemporal characteristics of hemodynamic responses are analyzed, and the potential merit of hybrid EEG-NIRS BCIs was validated with respect to classification accuracy. We expect that the dataset provided will facilitate performance evaluation and comparison of many neuroimaging analysis techniques.
DOI: 10.5281/zenodo.7297010
title: Footwall Relief Measurements for faults in the Zomba Graben, Malawi

description: Footwall releif measurements for faults in the Zomba Graben Malawi. Footwall relief was measured every 1 km along strike using stacked profiles of TanDEM-X topographic data that had been sampled every 100 m along strike. We measured the difference in elevation between the highest point on the footwall within 3 km of the fault surface trace, and the elevation of the fault itself. #1 - Longitude #2 - Latitude #3 - Footwall Relief (m) #4 - Uncertainty (m)
DOI: 10.5281/zenodo.7297009
title: Footwall Relief Measurements for faults in the Zomba Graben, Malawi

description: Footwall releif measurements for faults in the Zomba Graben Malawi. Footwall relief was measured every 1 km along strike using stacked profiles of TanDEM-X topographic data that had been sampled every 100 m along strike. We measured the difference in elevation between the highest point on the footwall within 3 km of the fault surface trace, and the elevation of the fault itself. #1 - Longitude #2 - Latitude #3 - Footwall Relief (m) #4 - Uncertainty (m)
DOI: 10.5281/zenodo.7313421
title: Focus Group for Block Chain for Subtitles

description: Transcript of the focus group
DOI: 10.5281/zenodo.7313420
title: Focus Group for Block Chain for Subtitles

description: Transcript of the focus group
DOI: 10.6084/m9.figshare.20000390.v3
title: ConvPred_data

description: The file <strong>"USPTO_DUT_Wang.xlsx</strong>" contains the reactions that are extracted from the USPTO 1976-2016 databse. It only contains the reactions that are in the form of A+B&gt;C to make sure all the reactions are compatible with our convolutional algorithm. We used sigma-profiles and ECFP4 to train two different models. They are available in the "<strong>.npy</strong>" files where molecules and their feature vectors are stored in the form of key and value pairs (i.e., python dict). <br> The "<strong>VRF(sigma).7z</strong>" contains the python script used to generate certain VRF(sigma) for chemical reactions. <br> The "<strong>Scripts for extracting reactions and templates.7z</strong>" contains the python scripts used to extract certain types of reactions and templates from the USPTO 1976-2016 database.
DOI: 10.5281/zenodo.7322804
title: MTB Routes Dataset

description: Prueba Dataset Routes
DOI: 10.5281/zenodo.7322803
title: MTB Routes Dataset

description: Prueba Dataset Routes
DOI: 10.5281/zenodo.5510033
title: Spanish Biomedical Crawled Corpus

description: <strong>Description</strong> The largest Spanish biomedical and heath corpus to date gathered from a massive Spanish health domain crawler over more than 3,000 URLs were downloaded and preprocessed. The collected data have been preprocessed to produce the CoWeSe (Corpus Web Salud Español) resource, a large-scale and high-quality corpus intended for biomedical and health NLP in Spanish. <strong>Directory structure</strong> <em>CoWeSe.txt</em>: the CoWeSe corpus; an empty line separates each document <strong>License</strong> The corpus is released under this licensing scheme: - We do not own any of the text from which these data has been extracted and preprocessed to be ready for use for language modeling tasks. - We license the actual packaging of these data under a CC0 1.0 Universal License Notice and take down policy Notice: Should you consider that our data contains material that is owned by you and should therefore not be reproduced here, please: Clearly identify yourself, with detailed contact data such as an address, telephone number or email address at which you can be contacted. Clearly identify the copyrighted work claimed to be infringed. Clearly identify the material that is claimed to be infringing and information reasonably sufficient to allow us to locate Copyright (c) 2021 Text Mining Unit at BSC and Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial <strong>Cite</strong> If you use this resource in your work, please cite our paper: <pre><code>@misc{carrino2021spanish, title={Spanish Biomedical Crawled Corpus: A Large, Diverse Dataset for Spanish Biomedical Language Models}, author={Casimiro Pio Carrino and Jordi Armengol-Estapé and Ona de Gibert Bonet and Asier Gutiérrez-Fandiño and Aitor Gonzalez-Agirre and Martin Krallinger and Marta Villegas}, year={2021}, eprint={2109.07765}, archivePrefix={arXiv}, primaryClass={cs.CL} }</code></pre>
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL), the ICTUSnet INTERREG Sudoe programme and La Marató de TV3.
DOI: 10.6084/m9.figshare.21543279.v1
title: Dynamic thermal perception under whole-body cyclical conditions

description: Dataset from a dynamic thermal comfort experiment. The laboratory experiment consisted in exposing the participants to four different cyclical sequences of whole-body cooling and warming over 180 min. For the first 30 min of the exposure, the thermal conditions were kept constant to allow the occupants to reach steady-state thermal conditions before the start of the air temperature fluctuations. Both environmental, physiological (skin temperature) and subjective (thermal sensation, thermal preference, and thermal comfort) data were collected during each exposure.
DOI: 10.5281/zenodo.3949889
title: Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials

description: Toxicogenomics (TGx) approaches are increasingly applied to gain insight into the possible toxicity mechanisms of engineered nanomaterials (ENMs). Omics data can be valuable to elucidate the mechanism of action of chemicals and develop predictive models in toxicology. While vast amounts of transcriptomics data from ENM exposures have already been accumulated, a unified, easily accessible and reusable collection of transcriptomics data for ENMs is currently lacking. In an attempt to improve the FAIRness of already existing transcriptomics data for nanomaterials, we curated a collection of homogenized transcriptomics data from human, mouse and rat ENM exposures <em>in vitro</em> and <em>in vivo</em>.
description: The unfiltered differential expression results for RNAseq-based data were updated 8.4.2022. Please use the latest versions of these files. When using data reported here, please cite this entry together with the following publication: Saarimäki, L.A., Federico, A., Lynch, I. et al. Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials. Sci Data 8, 49 (2021). https://doi.org/10.1038/s41597-021-00808-y
DOI: 10.5281/zenodo.3949890
title: Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials

description: Toxicogenomics (TGx) approaches are increasingly applied to gain insight into the possible toxicity mechanisms of engineered nanomaterials (ENMs). Omics data can be valuable to elucidate the mechanism of action of chemicals and develop predictive models in toxicology. While vast amounts of transcriptomics data from ENM exposures have already been accumulated, a unified, easily accessible and reusable collection of transcriptomics data for ENMs is currently lacking. In an attempt to improve the FAIRness of already existing transcriptomics data for nanomaterials, we curated a collection of homogenized microarray-based transcriptomics data from human, mouse and rat ENM exposures <em>in vitro</em> and <em>in vivo</em>.
DOI: 10.5281/zenodo.4146981
title: Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials

description: Toxicogenomics (TGx) approaches are increasingly applied to gain insight into the possible toxicity mechanisms of engineered nanomaterials (ENMs). Omics data can be valuable to elucidate the mechanism of action of chemicals and develop predictive models in toxicology. While vast amounts of transcriptomics data from ENM exposures have already been accumulated, a unified, easily accessible and reusable collection of transcriptomics data for ENMs is currently lacking. In an attempt to improve the FAIRness of already existing transcriptomics data for nanomaterials, we curated a collection of homogenized transcriptomics data from human, mouse and rat ENM exposures <em>in vitro</em> and <em>in vivo</em>.
DOI: 10.5281/zenodo.6425445
title: Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials

description: Toxicogenomics (TGx) approaches are increasingly applied to gain insight into the possible toxicity mechanisms of engineered nanomaterials (ENMs). Omics data can be valuable to elucidate the mechanism of action of chemicals and develop predictive models in toxicology. While vast amounts of transcriptomics data from ENM exposures have already been accumulated, a unified, easily accessible and reusable collection of transcriptomics data for ENMs is currently lacking. In an attempt to improve the FAIRness of already existing transcriptomics data for nanomaterials, we curated a collection of homogenized transcriptomics data from human, mouse and rat ENM exposures <em>in vitro</em> and <em>in vivo</em>.
description: The unfiltered differential expression results for RNAseq-based data were updated 8.4.2022. Please use the latest versions of these files. When using data reported here, please cite this entry together with the following publication: Saarimäki, L.A., Federico, A., Lynch, I. et al. Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials. Sci Data 8, 49 (2021). https://doi.org/10.1038/s41597-021-00808-y
DOI: 10.6084/m9.figshare.21552441.v1
title: Dynamic thermal perception data under whole-body step-change conditions

description: Dataset from a dynamic thermal comfort experiment. The laboratory experiment consisted in exposing the participants to four different sequences of repeated whole-body temperature step-change transients. The temperature step-change transients were realised by making the participants move between two identical rooms kept at constant thermal conditions. After each transient, the occupants remained 30 min in the room to reach steady-state thermal conditions. Both environmental and subjective (thermal sensation, thermal preference, and thermal comfort) data were collected during each exposure.
DOI: 10.5517/ccdc.csd.cc2bky3z
title: CCDC 2162191: Experimental Crystal Structure Determination

description: Related Article: Hong Chen|2022|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.cc2bky40
title: CCDC 2162192: Experimental Crystal Structure Determination

description: Related Article: Hong Chen|2022|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.cc2by99x
title: CCDC 2173109: Experimental Crystal Structure Determination

description: Related Article: Matteo Pollastrini, Luca Pasquinelli, Marcin Górecki, Federica Balzano, Lorenzo Cupellini, Filippo Lipparini, Gloria Uccello Barretta, Fabio Marchetti, Gennaro Pescitelli, Gaetano Angelici|2022|J.Org.Chem.|87|13715|doi:10.1021/acs.joc.2c01377
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.cc2c9sbt
title: CCDC 2184146: Experimental Crystal Structure Determination

description: Related Article: Z. Yu, S. Kang, M. Tai, J. Wang, X. Wang, Y. Ding, D. Jin, L. Wang *|2022|CSD Communication|||
description: Related Article: Z. Yu, S. Kang, M. Tai, J. Wang, Q. Tian, D. Jin, L. Wang|2023|Dyes Pigm.|209|110897|doi:10.1016/j.dyepig.2022.110897
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.cc29xg2s
title: CCDC 2142505: Experimental Crystal Structure Determination

description: Related Article: Debendra Prasad Panda, Diptikanta Swain, Mohit Chaudhary, Samita Mishra, Garima Bhutani, Arijit K. De, Umesh V. Waghmare, A. Sundaresan|2022|Inorg.Chem.|61|17026|doi:10.1021/acs.inorgchem.2c01581
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.cc29xg3t
title: CCDC 2142506: Experimental Crystal Structure Determination

description: Related Article: Debendra Prasad Panda, Diptikanta Swain, Mohit Chaudhary, Samita Mishra, Garima Bhutani, Arijit K. De, Umesh V. Waghmare, A. Sundaresan|2022|Inorg.Chem.|61|17026|doi:10.1021/acs.inorgchem.2c01581
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: 10.5519/qd.uiwjb2fb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (319 records)
DOI: 10.5281/zenodo.6925487
title: 3D ED tilt series of PPEA

description: Data recorded with EPU-D Glacios TEM (Thermofisher) operating at 200 kV in continuous diffraction mode. The tilt sequence starts at -60°, tilt increment 1°, rotation speed 1° per second. Pixel size within the diffraction frames is 0.000915 Å-1, electron beam dimeter on the sample 1.5 µm (nano-electron diffraction mode). Electron dose rate during data collection was 6.016e/nm<sup>2</sup>s, liquid nitrogen temperature was used.
DOI: 10.6084/m9.figshare.21557754
title: Arctic charr occurrence and abundance using environmental DNA

description: Data for Seymour & Antony (2022), Arctic charr occurrence and abundance using environmental DNA <br> Provided are the qpcr results from the eDNA survey of five lakes in north wales with each sampling location provided along with the environmental parameters (distance, depth and surface area) used in the manuscript.
DOI: 10.6084/m9.figshare.21557754.v1
title: Arctic charr occurrence and abundance using environmental DNA

description: Data for Seymour & Antony (2022), Arctic charr occurrence and abundance using environmental DNA <br> Provided are the qpcr results from the eDNA survey of five lakes in north wales with each sampling location provided along with the environmental parameters (distance, depth and surface area) used in the manuscript.
DOI: 10.5525/gla.researchdata.1287
title: Evaluating the potential of whole-genome sequencing for tracing transmission routes in experimental infections and natural outbreaks of bovine respiratory syncytial virus

description: Scripts and data sets required to perform analysis of genomic diversity of BRSV samples using next-generation sequencing data.
DOI: 10.25625/amnqc4/jt7cln
title: guided-jupyter-tour-optimal-transport-main.tar.gz

description: Snapshot of the gitlab repository from 07.01.2022.
DOI: 10.5519/qd.4023yswm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5327961 records)
DOI: 10.5519/qd.2qyybdi9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (819250 records)