cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15783/c7fk5f
title: CRAWDAD dataset uprm/wireless (v. 2006-04-12)

description: This data set contains a collection of wireless traces from the University of Puerto Rico. 
Wireless signal strength measurements for Dell and Thinkpad laptops were performed 
over distances of 500 feet and one mile. The data is presented in .cap files giving 
TCP dump packet headers.
description: Changelog: the initial version
DOI: 10.15783/c7k88q
title: CRAWDAD dataset up/rf_recordings (v. 2008-07-23)

description: In order to be used for examples or projects in communication systems or digital
signal processing courses, the radio frequency (RF) signal was recorded from several 
commercial communication systems and stored in a database. 
This database contains recordings of radio frequency (RF) signals from several 
commercial communication systems including AM and FM radio, high definition AM and 
FM radio, analog and digital TV, Bluetooth, WiFi, GPS, WWV time signal, garage door 
opener, remote control for toy cars, wireless thermometers, and a wireless serial 
cable replacement system.
description: Changelog: the initial version
DOI: 10.5517/ccdc.csd.cc1k9m3l
title: CCDC 1439209: Experimental Crystal Structure Determination

description: Related Article: Dongmei Liu, Gaoyun Dong, Xiong Wang, Fengmei Nie, Xia Li|2020|CrystEngComm|22|7877|doi:10.1039/D0CE01256D
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.cczqvj1
title: CCDC 915694: Experimental Crystal Structure Determination

description: Related Article: Dongmei Liu, Gaoyun Dong, Xiong Wang, Fengmei Nie, Xia Li|2020|CrystEngComm|22|7877|doi:10.1039/D0CE01256D
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: 10.15783/c7q306
title: CRAWDAD dataset uportorwthaachen/vanetjamming2014 (v. 2014-05-12)

description: This dataset contains several tracesets of 802.11p communications with the presence of an RF jamming signal. The RF jammer has different patterns of operation, namely constant, periodic, and reactive jamming. The observations were performed in a rural area located in the periphery of Aachen in Germany.
description: Changelog: the initial version
DOI: 10.5281/zenodo.7625218
title: SocketSense Össur DS02 2D Residual Limb Maps

description: 2D maps of template residual limb (or prosthetic socket). Maps are labelled with anatomical quadrants (anterior, posterior, medial, lateral), and anatomical compartments. QTSS pressure sensor strips designed for the SocketSense system are overlaid on the 2D maps to encompass the residual limb to achieve a global pressure distribution map of the residual limb-socket interface. A single QTSS shear sensor is also included on the map. Separate maps are provided for left and right side amputation, and for different residual limb circumference sizes and lengths.
DOI: 10.5281/zenodo.7625217
title: SocketSense Össur DS02 2D Residual Limb Maps

description: 2D maps of template residual limb (or prosthetic socket). Maps are labelled with anatomical quadrants (anterior, posterior, medial, lateral), and anatomical compartments. QTSS pressure sensor strips designed for the SocketSense system are overlaid on the 2D maps to encompass the residual limb to achieve a global pressure distribution map of the residual limb-socket interface. A single QTSS shear sensor is also included on the map. Separate maps are provided for left and right side amputation, and for different residual limb circumference sizes and lengths.
DOI: 10.5281/zenodo.7613424
title: Electric Power Fuse Identification with Deep Learning

description: <strong>Paper Title</strong>: Electric Power Fuse Identification with Deep Learning <strong>Journal Title</strong>: IEEE Transactions on Industrial Informatics <strong>Accepted On</strong>: February 6, 2023 <strong>GitHub Link</strong>: https://github.com/MEDomics-UdeS/energAI-fuses <strong>Description</strong>: This project implements a supervised learning PyTorch-based end-to-end object detection pipeline for the purpose of detecting and classifying fuses in low-voltage electrical installations. <strong>Files</strong>: <strong>annotations.csv</strong>: Contains bounding box annotations for images. Save the file to 'data/annotations/' in the cloned GitHub repository. <strong>final_model.pkl</strong>: Final trained model. Save the file anywhere and select it using the GUI from the cloned GitHub repository to use it. <strong>images.zip</strong>: Images for learning and testing. Extract the .zip file to 'data/raw/' in the cloned GitHub repository. <strong>Abstract</strong>: As part of arc flash studies, survey pictures of electrical installations need to be manually analyzed. A challenging task is to identify fuse types, which can be determined from physical characteristics such as shape, color and size. To automate this process using deep learning techniques, a new dataset of fuse pictures from past arc flash projects and data from the web was created. Multiple experiments were performed to train a final model, reaching an average precision (AP50) of 91.06 % on the holdout set, which confirms its potential for identification of fuse types in new photos. By identifying fuse types using physical characteristics only, the need to take clear pictures of the label text is eliminated, allowing pictures to be taken away from danger, thereby improving the safety of workers. All the resources needed to repeat the experiments are openly accessible, including the code and datasets.
DOI: 10.5281/zenodo.7613425
title: Electric Power Fuse Identification with Deep Learning

description: <strong>Paper Title</strong>: Electric Power Fuse Identification with Deep Learning <strong>Journal Title</strong>: IEEE Transactions on Industrial Informatics <strong>Accepted On</strong>: February 6, 2023 <strong>GitHub Link</strong>: https://github.com/MEDomics-UdeS/energAI-fuses <strong>Description</strong>: This project implements a supervised learning PyTorch-based end-to-end object detection pipeline for the purpose of detecting and classifying fuses in low-voltage electrical installations. <strong>Files</strong>: <strong>annotations.csv</strong>: Contains bounding box annotations for images. Save the file to 'data/annotations/' in the cloned GitHub repository. <strong>final_model.pkl</strong>: Final trained model. Save the file anywhere and select it using the GUI from the cloned GitHub repository to use it. <strong>images.zip</strong>: Images for learning and testing. Extract the .zip file to 'data/raw/' in the cloned GitHub repository. <strong>Abstract</strong>: As part of arc flash studies, survey pictures of electrical installations need to be manually analyzed. A challenging task is to identify fuse types, which can be determined from physical characteristics such as shape, color and size. To automate this process using deep learning techniques, a new dataset of fuse pictures from past arc flash projects and data from the web was created. Multiple experiments were performed to train a final model, reaching an average precision (AP50) of 91.06 % on the holdout set, which confirms its potential for identification of fuse types in new photos. By identifying fuse types using physical characteristics only, the need to take clear pictures of the label text is eliminated, allowing pictures to be taken away from danger, thereby improving the safety of workers. All the resources needed to repeat the experiments are openly accessible, including the code and datasets.
DOI: 10.5281/zenodo.7625657
title: Sample data for JRC_seeker test run

description: This is sample data as part of the test run for JRC_seeker, a Snakemake pipeline for the genome-wide discovery of jointly regulated CpGs (JRCs) in pooled whole genome bisulfite sequencing (WGBS) data (https://github.com/BenjaminPlanterose/JRC_seeker).
DOI: 10.5281/zenodo.7625656
title: Sample data for JRC_seeker test run

description: This is sample data as part of the test run for JRC_seeker, a Snakemake pipeline for the genome-wide discovery of jointly regulated CpGs (JRCs) in pooled whole genome bisulfite sequencing (WGBS) data (https://github.com/BenjaminPlanterose/JRC_seeker).
DOI: 10.6084/m9.figshare.21444450
title: Dataset - Table to construct the figures

description: Here you can find the dataset to construct all the figures of our paper " <strong>Deciding to escape or pursue a visual stimulus depends on starvation level and sex</strong> "
DOI: 10.6084/m9.figshare.21444450.v2
title: Dataset - Table to construct the figures

description: Here you can find the dataset to construct all the figures of our paper " <strong>Deciding to escape or pursue a visual stimulus depends on starvation level and sex</strong> "
DOI: 10.6084/m9.figshare.21444450.v1
title: Dataset - Table to construct the figures

description: Here you can find the dataset to construct all the figures of our paper " <strong>Deciding to escape or pursue a visual stimulus depends on starvation level and sex</strong> "
DOI: 10.6084/m9.figshare.22059443
title: psbA sequences.aln

description: psbA sequences
DOI: 10.6084/m9.figshare.22059443.v1
title: psbA sequences.aln

description: psbA sequences
DOI: 10.6084/m9.figshare.22060514
title: Dataset - to construct the figures

description: Here you can find the dataset to construct all the figures of our paper "<strong>To escape or to pursue: opposite decision-making concerning a single moving object is influenced by starvation and sex"</strong>
DOI: 10.6084/m9.figshare.22060514.v2
title: Dataset - to construct the figures

description: Here you can find the dataset to construct all the figures of our paper "<strong>To escape or to pursue: opposite decision-making concerning a single moving object is influenced by starvation and sex"</strong>
DOI: 10.6084/m9.figshare.22060514.v1
title: Dataset - to construct the figures

description: Here you can find the dataset to construct all the figures of our paper "<strong>To escape or to pursue: opposite decision-making concerning a single moving object is influenced by starvation and sex"</strong>
DOI: 10.5281/zenodo.7625628
title: Underestimation of Body Size in Patients with Obesity

description: The database includes real and estimated measures (in centimeters) of shoulders, waist, and hips widths and circumferences of 22 female inpatients with obesity and 21 healthy-weight women. The database includes also their age and years of education, and a measure of estimation accuracy (Delta), that is the difference between the real and estimated size of each body part.
DOI: 10.5281/zenodo.7625627
title: Underestimation of Body Size in Patients with Obesity

description: The database includes real and estimated measures (in centimeters) of shoulders, waist, and hips widths and circumferences of 22 female inpatients with obesity and 21 healthy-weight women. The database includes also their age and years of education, and a measure of estimation accuracy (Delta), that is the difference between the real and estimated size of each body part.
DOI: 10.6084/m9.figshare.22059446
title: rpoC1 sequences.aln

description: rpoC1 sequences.aln
DOI: 10.6084/m9.figshare.22059446.v1
title: rpoC1 sequences.aln

description: rpoC1 sequences.aln
DOI: 10.6084/m9.figshare.21647381
title: Quantum ESPRESSO input and xml files for uniaxial strain

description: These folders contain the input files for, and the xml files output by, the PWscf executable (v.6.8) of Quantum ESPRESSO used to perform the uniaxial strain calculations on La2MgO4 and La2CuO4. <br> <br>
DOI: 10.6084/m9.figshare.22059452
title: tufA sequences.aln

description: tufA sequences.aln
DOI: 10.6084/m9.figshare.22059452.v1
title: tufA sequences.aln

description: tufA sequences.aln
DOI: 10.25430/researchdata.cab.unipd.it.00000808
title: Canine Behaviour and Research Questionnaire (C-BARQ): validation of the Italian translation

description: Dataset
DOI: 10.3886/e123702v1-132423
title: An experimental study of messages communicating potential harms of electronic cigarettes

description: There has been an upsurge of e-cigarette use in the United States in recent years. While e-cigarettes may contain lower levels of toxic chemicals than combusted cigarettes, they still pose serious health hazards, including increased risk for heart and respiratory disease. Despite these risks, public awareness of the health harms of e-cigarettes remains low. Thus, it is important to educate the public about the potential harms of e-cigarettes. This study took themes commonly found in antismoking messages and used them to develop messages about harms of e-cigarettes. A national sample of 2801 current smokers and nonsmokers (aged 18+ years) were randomized to view one of four e-cigarette messages (harmful effect of chemicals, uncertainty about ingredients, distrust of big tobacco, or cost of vaping) or a control message (bottled water ad). Participants’ reactions to the messages and behavioral intentions were assessed immediately following the exposure. MANOVA examined effects of the messages on blocks of the outcome variables and univariate analyses estimated adjusted means for each experimental condition for each outcome.<b> </b>The message about harmful chemicals was perceived as the most informative and effective and elicited the highest levels of negative emotions (Ps&lt;0.05). However, on measures of actual effectiveness, the other messages performed equally well. Specifically, messages with different themes (harmful chemicals, uncertainty about ingredients, anti-industry, or financial cost) increased perceived risk of e-cigarettes, support for e-cigarette control, and lowered self-exempting beliefs and intentions to use e-cigarettes (Ps&lt;0.05). Themes commonly used in anti-smoking messages may be effective in educating the public about the potential harm of e-cigarettes. The observed differential effects of the messages suggest the need to use multiple themes in a public education campaign about e-cigarettes.<br>
DOI: 10.5281/zenodo.7625666
title: Model results and configuration files for "Large modeling uncertainty in projecting decadal surface ozone changes over urban and industrial regions of China"

description: This repository includes files as described below: <strong>1. namelist_CBMZ09_example.input, namelist_MOZART202_example.input:</strong> Two WRF-chem namelist files for CBMZ and MOZART simulation. They are modified according to the namelist from https://github.com/wrfchem-leeds/WRFotron. <strong>2. wps_namelist_example.wps:</strong> namelist for WRF Preprocessing System (WPS) <strong>3. temporal_hourly_scale_factor_emission.csv:</strong> Hourly scale factors for emissions. Hourly allocation is applied to all emission data (i.e., emissions for 2017, 2030 and perturbated emissions of NOx, VOCs). <strong>4. vertical_emission_ratio.csv</strong> Vertical shares (ratios) of emissions. Emissions from sectors of power and industry are vertically allocated based on this file. Vertical allocation is conducted for all emission data. These shares are suggested by MICS-ASIA III intercomparison framework. <strong>5. 01_2030_2017_simulations.zip: </strong> Simulated MDA8 ozone under future (2030) and 2017 emission scenarios by the two chemical mechanisms (i.e., CBMZ, MOZART). <strong>6. 02_perturbations_of_NOxVOCs.zip:</strong> Simulated MDA8 ozone given perturbations of NOx and VOCs emissions by the two chemical mechanisms. <strong>7. 03_hourly_diff_O3_NOx_OH_HNO3.zip: </strong> Differences of hourly simulated concentrations of O3, NOx, OH and HNO3 during July in the Base-2017 scenario between CBMZ and MOZART (CBMZ - MOZART).
DOI: 10.5281/zenodo.7625665
title: Model results and configuration files for "Large modeling uncertainty in projecting decadal surface ozone changes over urban and industrial regions of China"

description: This repository includes files as described below: <strong>1. namelist_CBMZ09_example.input, namelist_MOZART202_example.input:</strong> Two WRF-chem namelist files for CBMZ and MOZART simulation. They are modified according to the namelist from https://github.com/wrfchem-leeds/WRFotron. <strong>2. wps_namelist_example.wps:</strong> namelist for WRF Preprocessing System (WPS) <strong>3. temporal_hourly_scale_factor_emission.csv:</strong> Hourly scale factors for emissions. Hourly allocation is applied to all emission data (i.e., emissions for 2017, 2030 and perturbated emissions of NOx, VOCs). <strong>4. vertical_emission_ratio.csv</strong> Vertical shares (ratios) of emissions. Emissions from sectors of power and industry are vertically allocated based on this file. Vertical allocation is conducted for all emission data. These shares are suggested by MICS-ASIA III intercomparison framework. <strong>5. 01_2030_2017_simulations.zip: </strong> Simulated MDA8 ozone under future (2030) and 2017 emission scenarios by the two chemical mechanisms (i.e., CBMZ, MOZART). <strong>6. 02_perturbations_of_NOxVOCs.zip:</strong> Simulated MDA8 ozone given perturbations of NOx and VOCs emissions by the two chemical mechanisms. <strong>7. 03_hourly_diff_O3_NOx_OH_HNO3.zip: </strong> Differences of hourly simulated concentrations of O3, NOx, OH and HNO3 during July in the Base-2017 scenario between CBMZ and MOZART (CBMZ - MOZART).
DOI: 10.5281/zenodo.7625708
title: Raw Data for the article: Human Amnion-Derived Mesenchymal Stromal/Stem Cells Pre-Conditioning Inhibits Inflammation and Apoptosis of Immune and Parenchymal Cells in an In Vitro Model of Liver Ischemia/Reperfusion

description: Ischemia/reperfusion injury (IRI) represents one of the leading causes of primary non-function acute liver transplantation failure. IRI, generated by an interruption of organ blood flow and the subsequent restoration upon transplant, i.e., reperfusion, generates the activation of an inflammatory cascade from the resident Kupffer cells, leading first to neutrophils recruitment and second to apoptosis of the parenchyma. Recently, human mesenchymal stromal/stem cells (hMSCs) and derivatives have been implemented for reducing the damage induced by IRI. Interestingly, sparse data in the literature have described the use of human amnion-derived MSCs (hAMSCs) and, more importantly, no evidence regarding hMSCs priming on liver IRI have been described yet. Thus, our study focused on the definition of an in vitro model of liver IRI to test the effect of primed hAMSCs to reduce IRI damage on immune and hepatic cells. We found that the IFNγ pre-treatment and 3D culture of hAMSCs strongly reduced inflammation induced by M1-differentiated macrophages. Furthermore, primed hAMSCs significantly inhibited parenchymal apoptosis at early timepoints of reperfusion by blocking the activation of caspase 3/7. All together, these data demonstrate that hAMSCs priming significantly overcomes IRI effects in vitro by engaging the possibility of defining the molecular pathways involved in this process.
DOI: 10.5281/zenodo.7625707
title: Raw Data for the article: Human Amnion-Derived Mesenchymal Stromal/Stem Cells Pre-Conditioning Inhibits Inflammation and Apoptosis of Immune and Parenchymal Cells in an In Vitro Model of Liver Ischemia/Reperfusion

description: Ischemia/reperfusion injury (IRI) represents one of the leading causes of primary non-function acute liver transplantation failure. IRI, generated by an interruption of organ blood flow and the subsequent restoration upon transplant, i.e., reperfusion, generates the activation of an inflammatory cascade from the resident Kupffer cells, leading first to neutrophils recruitment and second to apoptosis of the parenchyma. Recently, human mesenchymal stromal/stem cells (hMSCs) and derivatives have been implemented for reducing the damage induced by IRI. Interestingly, sparse data in the literature have described the use of human amnion-derived MSCs (hAMSCs) and, more importantly, no evidence regarding hMSCs priming on liver IRI have been described yet. Thus, our study focused on the definition of an in vitro model of liver IRI to test the effect of primed hAMSCs to reduce IRI damage on immune and hepatic cells. We found that the IFNγ pre-treatment and 3D culture of hAMSCs strongly reduced inflammation induced by M1-differentiated macrophages. Furthermore, primed hAMSCs significantly inhibited parenchymal apoptosis at early timepoints of reperfusion by blocking the activation of caspase 3/7. All together, these data demonstrate that hAMSCs priming significantly overcomes IRI effects in vitro by engaging the possibility of defining the molecular pathways involved in this process.
DOI: 10.5285/f56980457ce240ccab5ac6d403c81e7a
title: ICECAPS-ACE: surface aerosol concentration measurements (condensation nuclei &gt; 5nm diameter) taken at Summit Station Greenland

description: This dataset contains concentrations of condensation nuclei (&gt; 5 nm diameter) measured at the surface at the Summit Station Greenland using a GRIMM 5.4 Condensation Particle Counter (CPC). Data are 1 minute averages concatenated into monthly files. These data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project. These data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT.
DOI: 10.5281/zenodo.7555622
title: Article_sacha

description: In the attached data you will find information about the article with the necessary rheology data.
DOI: 10.5281/zenodo.7555621
title: Article_sacha

description: The following is described in the repository comments: In the attached data you will find information on the rheological data required for the analysis and the protocols for microbiological and proximal characterization
DOI: 10.5281/zenodo.7600981
title: Article_sacha

description: The following is described in the repository comments: In the attached data you will find information on the rheological data required for the analysis and the protocols for microbiological and proximal characterization
DOI: 10.5281/zenodo.7613694
title: Article_sacha

description: The following is described in the repository comments: In the attached data you will find information on the rheological data required for the analysis and the protocols for microbiological and proximal characterization
DOI: 10.5282/ubm/data.362
title: Supporting data and code for: Ribozyme-mediated RNA synthesis and replication in a model Hadean microenvironment

description: Enzyme-catalysed replication of nucleic acid sequences is a prerequisite for the survival and evolution of biological entities. Before the advent of protein synthesis, genetic information was most likely stored in and replicated by RNA. However, experimental systems for sustained RNA-dependent RNA-replication are difficult to realise, in part due to the high thermodynamic stability of duplex products and the low chemical stability of catalytic RNAs. Using a derivative of a group I intron as a model for an RNA replicase, we show that heated air-water interfaces that are exposed to a plausible CO2-rich atmosphere enable sense and antisense RNA replication as well as template-dependent synthesis and catalysis of a functional ribozyme in a one-pot reaction. Both reactions are driven by autonomous oscillations in salt concentrations and pH, resulting from precipitation of acidified dew droplets, which transiently destabilise RNA duplexes. Our results suggest that an abundant Hadean microenvironment may have promoted both replication and synthesis of functional RNAs.