cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11408317
title: Dataset for: Dynamic transition and Galilean relativity of current-driven skyrmions

description: This data repository contains the experimental data utilised to produce the figures shown in the article "Dynamic transition and Galilean relativity of current-driven skyrmions" by Max Birch, Ilya Belopolski, Yukako Fujishiro, Minoru Kawamura, Akiko Kikkawa, Yasujiro Taguchi, Max Hirschberger, Naoto Nagaosa and Yoshinori Tokura.

All data are in the typical .dat file format from a Quantum Design PPMS. The data are organised according to each main/extended/supplementary figure in the article. This means that same data files may appear in more than one figure folder. Files are labelled according to which device was measured, with additional information on the sample environment (temperature/field/current etc) included where relevant.
DOI: 10.5281/zenodo.13353388
title: Dataset for the paper "Designs in finite classical polar spaces"

description: This repository contains the designs from the paper "Designs in finite classical polar spaces" by Michael Kiermaier, Kai-Uwe Schmidt, and Alfred Wassermann, in Designs, Codes, and Cryptography. 

 





All designs in this repository are simple designs.


The file format is JSON. Each file contains the designs in a fixed finite polar space for a pair of parameters t and k. 

 

The file README.md contains more detailed information about the file format.
DOI: 10.6084/m9.figshare.25448260.v1
title: <b>Demographic features of Chronic Myeloid Leukaemia patients taking Imatinib (400 mg). Genotype and allele frequencies of rs2242480</b>

description: <b>Demographic features of Chronic Myeloid Leukaemia patients taking Imatinib (400 mg). Genotype and allele frequencies of rs2242480</b>
DOI: 10.6084/m9.figshare.25458964.v1
title: Genetic models for rs2242280 in CML patients taking Imatinib (400mg)

description: Genetic models for rs2242280 in CML patients taking Imatinib (400mg)
DOI: 10.6084/m9.figshare.25464859.v1
title: SPSS DATA FOR rs2242480 Genotype

description: Detailed SPSS data for models of rs2242480
DOI: 10.6084/m9.figshare.26840125
title: Supplementary Material for: Impact of an exercise-based cardiac rehabilitation program on cardiopulmonary test parameters.

description: Introduction: The exercise-based cardiac rehabilitation program (CRP) represent a multidisciplinary therapeutic approach tailored to improving cardiorespiratory fitness and overall health-related quality of life, while reducing cardiovascular hospitalizations and mortality. Our aim is to determine changes in exercise capacity and cardiac events according to the left ventricular ejection fraction (LVEF) following a CRP. 
Methods: This single-center cohort study of 131 patients who completed a center-based CRP from 2015 to 2022. Cardiopulmonary exercise testing (CPET), transthoracic echocardiography, and laboratory analysis were conducted before and after program completion. 
Results: Of 232 enrolled patients, 131 were included in our cohort analysis, with 36.6% having a reduced LVEF. These patients exhibited higher rates of atrial fibrillation (p=0.019) and NT-proBNP values (p&lt;0.001). Patients with reduced LVEF had lower peak VO2 (p=0.046), ppVO2 (p&lt;0.001) and VO2 at anaerobic threshold (p=0.015) during baseline CPET. Completion of the CRP lead to comparable improvements in exercise performance between groups, assessed through Δ pVO2 (p=0.990), Δ ppVO2 (p=0.610), and Δ VE/VCO2 slope (p=0.200). 
In the study population, male gender and hypertension independently predicted variation in VE/VCO2 slope (p=0.017) and oxygen uptake efficiency slope (p=0.048), respectively, post-CRP. During follow-up, 9.2% of all patients had hospital admissions for cardiac events, and 3.8% died, with no group differences.
Conclusion: Patients with reduced LVEF admitted to our CRP showed lower functional status based on specific CPET parameters. After CRP, both reduced and preserved LVEF groups experienced similar functional improvements. Therefore, strategies to increase participation of patients with reduced LVEF in such programs are warranted.
DOI: 10.1594/wdcc/cmip5.nccnmpc
title: cmip5 output1 NCC NorESM1-M piControl, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.17882/97556
title: Data for learning-based prediction of the particles catchment area of deep ocean sediment traps

description: In this study, we conducted a series of numerical Lagrangian experiments in the Porcupine Abyssal Plain region of the North Atlantic and developed a machine learning approach to predict the surface origin of particles trapped in a deep sediment trap. The data contain : - I. Probability density function of the particles position from the Lagrangian experiments. -II. The dynamic variables (temperature, vorticity, u, v, sea surface height) associated with each Lagrangian experiments and used for the training/ testing. -III. The saved parameters and logs of the machine learning models. -IV. Some processed data such as kinetic energy and okubo-weiss parameter used for analysis.
DOI: 10.17909/26qj-g090
title: Data from Paper "oMEGACat II - Photometry and proper motions for 1.4 million stars in Omega Centauri and its rotation in the plane of the sky"

description: This dataset contains HST observations of the globular cluster Omega Centauri out to its half-light radius.

The data were selected to contain all available observations with filters suitable for high-precision astrometry (ACS/WFC: F435W, F475W, F555W, F606W, F625W, F775W, F814W; WFC3/UVIS: F336W, F390W, F438W, F555W, F606W, F775W, F814W).

In addition, we added the filters ACS/WFC F658N and WFC3/UVIS F275W for photometric purposes as they also cover almost the entire half-light radius.

The data were taken in the time spanning from June 2002 to March 2023.
DOI: 10.25919/45t8-p065
title: Labelled weekly MR images of the male pelvis

description: Anonymised data in NIfTI file format. These data have been acquired as part of a retrospective MRI-alone radiation therapy study from the Calvary Mater Newcastle Hospital described in Dowling, et al. (2015), Automatic Substitute Computed Tomography Generation and Contouring for Magnetic Resonance Imaging (MRI)-Alone External Beam Radiation Therapy From Standard MRI Sequences, International Journal of Radiation Oncology*Biology*Physics, 93(5), pp. 1144-1153, https://doi.org/10.1016/j.ijrobp.2015.08.045 . These data have been used in https://arxiv.org/abs/2109.05443 ( "CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation" )
DOI: 10.48329/bejk-qa30
title: CPRD Aurum SGSS January 2022

description: Second Generation Surveillance System (SGSS) is the national laboratory reporting system used in England to capture routine laboratory data on infectious diseases and antimicrobial resistance. The SARS-CoV-2 testing started in UK laboratories on 24/02/2020, with the SGSS data reflecting testing (swab samples, PCR test method) offered to those in hospital and NHS key workers (i.e. Pillar 1). The CPRD-SGSS linked data currently contain positive tests results only. Access to linked SGSS data is subject to prior protocol approval. This dataset is not covered by existing licences, and data can only be released to organisations within the UK/EU/EEA. Further information is available at https://www.cprd.com/linked-data Coverage from 01/03/2020 to 23/02/2021.
DOI: 10.5281/zenodo.10291581
title: Birth of new protein folds and functions in the virome - Structure Database

description: This is the database of protein structures described in the manuscript "Birth of new protein folds and functions in the virome", by authors Jason Nomburg, Nate Price, and Jennifer A. Doudna.
DOI: 10.5281/zenodo.10685505
title: Birth of new protein folds and functions in the virome - Foldseek Database

description: This is a Foldseek database of protein structures described in the manuscript "Birth of new protein folds and functions in the virome", by authors Jason Nomburg, Nate Price, and Jennifer A. Doudna.
DOI: 10.5281/zenodo.4911191
title: Word order in the Malayo-Polynesian languages of Southeast Asia

description: Dataset for the Malayo-Polynesian languages included in the chapter: Donohue, Mark. To appear (2021?). Word Order. In Antoinette Schapper and Sander Adelaar, eds, <em>The Oxford Guide of Malayo-Polynesian languages</em>. Oxford: Oxford University Press. Please cite this chapter if data from the dataset is used.
DOI: 10.6084/m9.figshare.12143562
title: A mass and energy conservation analysis of drift in the CMIP6 ensemble: supplementary metadata

description: This repository contains the details of the computational aspects of the following study: <br>Irving D, Hobbs W, Church J & Zika J (in press)<i>.</i> A mass and energy conservation analysis of drift in the CMIP6 ensemble. <i>Journal of Climate. </i>doi:10.1175/JCLI-D-20-0281.1 <br>The figures in the paper were generated by running a series of Python scripts at the command line. Those commands (denoted by the $ prompt) are outlined below with additional notes where necessary.<br>Any scripts in this repository that aren't referred to by name below are modules that are used by some/all of the scripts.<br><br>The software environment that the scripts were executed in is described by <i>environment.yml</i>. That environment can be installed using conda:$ conda env create -f environment.yml<br><br>(See https://docs.conda.io/en/latest/ for details.)<br><br><b>Figure 1</b><br>$ python plot_global_budget_variables.py ACCESS-CM2 r1i1p1f1 cmip6 --compfile figure1.png<br><br>In addition to creating a plot for one particular model, the <i>plot_global_budget_variables.py</i> script writes a text file containing the various trends/drifts and regression coefficients presented in the paper. The trends and coefficients for every model were stored in <i>drifts.csv</i> and <i>regression_coefficients.csv</i> respectively, which were then used to create most of the figures below.<br><br><b>Figure 2 </b><br><br>$ python plot_ohc_masso.py figure2.png --models ACCESS-CM2 ACCESS-ESM1-5 BCC-CSM2-MR BCC-ESM1 CNRM-CM6-1 CNRM-ESM2-1 E3SM-1-0 E3SM-1-1 EC-Earth3 EC-Earth3-Veg GFDL-CM4 GISS-E2-1-G GISS-E2-1-G-CC HadGEM3-GC31-LL IPSL-CM6A-LR MPI-ESM-1-2-HAM MPI-ESM1-2-HR MPI-ESM1-2-LR UKESM1-0-LL --runs r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f2 r1i1p1f2 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f1 r1i1p1f2 --colors tab:blue tab:blue tab:orange tab:orange tab:green tab:green tab:red tab:red tab:purple tab:purple tab:brown tab:brown tab:pink tab:pink tab:olive tab:olive tab:cyan tab:cyan tab:gray --linestyles solid dotted solid dotted solid dotted solid dotted solid dotted solid dotted solid dotted solid dotted solid dotted solid --ohc_outlier 1e24 --runmean_window 10<br><br><b>Figure 3</b><br><br>$ python plot_ohc_drift.py drifts.csv figure3.png<br><br><b>Figure 4 (and Table 4)</b><br><br>$ python plot_conservation_scatter.py drifts.csv figure4.png <br><br>In addition to creating a plot, the <i>plot_conservation_scatter.py</i> script outputs the ensemble median and interquartile range values shown in Table 4.<br><br><b>Figure 5</b><br><br>$ python plot_leakage.py drifts.csv figure5.png<br><br><b>Figure 6</b><br><br>$ python plot_regression_boxplot.py regression_coefficients.csv figure6.png<br><br><b>Figure S1</b><br><br>$ python plot_regression_coefs.py drifts.csv energy figureS1.png --cmip_line 21.5<br><br><b>Figure S2</b><br><br>$ python plot_regression_coefs.py drifts.csv mass figureS2.png --cmip_line 21.5<br>
DOI: 10.6084/m9.figshare.12280112
title: Metadata record for: Aerial surveys of waterbirds in Australia

description: This dataset contains key characteristics about the data described in the Data Descriptor Aerial surveys of waterbirds in Australia. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.24878652
title: Supplementary Material for: Causal effect of lipoprotein-associated phospholipase A2 activity on ischemic stroke : a Mendelian randomization study

description: Background
The relationship between ischemic stroke (IS) and lipoprotein-associated phospholipase A2 (Lp-PLA2) activity is still unclear, and there is a dearth of stratified research on the relationship between Lp-PLA2 activity and different IS subtypes. Therefore, Mendelian randomization was used in this study to examine the relationship between genetically proxied Lp-PLA2 activity and the risks of IS and its subtypes.
Methods
Based on information from a meta-analysis of GWAS, which included 13,664 European people, five single-nucleotide polymorphisms related to Lp-PLA2 activity were chosen as instrumental variables. Summary statistics information about MEGESTROKE consortium with the European group (40,585 cases and 406,111 controls) include any ischemic stroke (AIS) (n = 34,217); large-artery stroke (LAS, n=4,373), cardioembolic stroke (CES, n=7,193) and small vessel stroke (SVS, n=5,386). In order to determine the causal relationships between Lp-PLA2 activity and IS as well as its subtypes, the inverse variance weighted (IVW) approach was chosen as the primary analysis. Significant estimates were then tested by sensitivity analysis to rule out heterogeneity and pleiotropy.
Results
IVW showed Lp-PLA2 activity was causally associated with LAS (OR=3.25, 95% CI=1.65-6.41, p=0.0007), but not with other subtypes of stroke. Sensitivity analysis for causal estimates between Lp-PLA2 activity and LAS showed no significant heterogeneity or pleiotropy.
Conclusions
These MR analyses support a causal effect of Lp-PLA2 activity on LAS but not on AIS, CES or SVS, which suggests that serum Lp-PLA2 activity might be a biomarker for prediction of LAS.
DOI: 10.6084/m9.figshare.25357288
title: <b>Landscape Structures and Stand Attributes Jointly Regulate Forest Productivity</b>

description: <b>The effects of landscape structures (fragmentation, complexity, and heterogeneity) and stand structure (species richness, stand density, and structural diversity) on forest productivity.</b>
DOI: 10.15468/dl.9f6jsb
title: Occurrence Download

description: A dataset containing 13050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Africa, Asia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Opuntia ficus-indica (L.) Mill., Opuntia maxima Mill.)"
 ]
}

 The dataset includes 13050 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004826-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/edq8-nk52
title: Operationally Transparent Cyber (OpTC)

description: Operationally Transparent Cyber (OpTC), was a DARPA transition pilot activity funded under Boston Fusion Corp.’s (BFC) Cyber APT Scenarios for Enterprise Systems (CASES) project. The main goal of the pilot was to determine if technology developed under the DARPA Transparent Computing (TC) program could scale from two clients to one thousand clients while maintaining detection performance. In the OpTC effort, DARPA TC technologies were evaluated at the National Cyber Range (NCR), which provided a well-instrumented facility to measure the impact of the OpTC system on network and client machine (endpoint) bandwidth, disk, and memory usage. Client machines created using VMware were programmed to complete general tasks such as creating, editing, and deleting presentations and text documents; sending, receiving, and downloading attachments from emails; browsing various websites; and mimicking generic daily user activities. Each client machine in the NCR evaluations was equipped with an Acuity Intelligent Agent (AIA) sensor developed by Five Directions. This sensor developed for the TC program sends real time, system-level data to servers equipped with Acuity Translator (AT) software, also developed by Five Directions. The Acuity Translator servers compile co-related events into aggregate messages and forward the contents to Rapid Infiltration and Prevention of Exfiltration (RIPE) translators developed by BAE. These messages undergo additional refinement before being sent to the RIPE Data Analytics Engine, which generates a network topology graph that may be queried to identify advanced persistent threat (APT) activity. The OpTC team collected the data in this release over three days in September 2019. During this period, the number of clients varied from five hundred to one thousand. Working with five hundred clients tended to be more convenient in terms of the amount of time it took to bring up the system and manage the instrumentation. During the three-day evaluation event, randomly chosen machines were attacked, compromised, and used to perform additional attacks on other network clients. All event data was recorded for post-event analysis with ground truth data on attack insertions documented. The dataset consists of four main directories, each containing a single file per client. These files are sorted by event time and labeled based on data provided by the red team. DARPA and AFRL have approved the public release of the data.
DOI: 10.34945/f5630g
title: Open Field Blast (OFB) Data Gu Lab_2019_2020

description: STUDY PURPOSE: Provide open-field low intensity blast (LIB) exposure for VA study. See relevant links for the related behaviour data DATA COLLECTED: Time-Pressure data to determine: Blast-wave overpressure, overpressure duration, rise time, and impulse. Weather conditions at the blast time. See relevant links for the protocols DATA USAGE NOTES:
DOI: 10.5255/ukda-sn-853338
title: Justice, inequality and gender based violence project: Victim/survivors experiences and views of justice 2015-2018
DOI: 10.5281/zenodo.10205702
title: EAV: EEG-Audio-Video Dataset for Emotion Recognition in Conversational Contexts

description: Understanding emotional states is pivotal for the development of next-generation human-machine interfaces. Human behaviors in social interactions have resulted in psycho-physiological processes influenced by perceptual inputs. Therefore, efforts to comprehend brain functions and human behavior could potentially catalyze the development of AI models with human-like attributes. In this study, we introduce a multimodal emotion dataset comprising data from 30-channel electroencephalography (EEG), audio, and video recordings from 42 participants. Each participant engaged in a cue-based conversation scenario, eliciting five distinct emotions: neutral, anger, happiness, sadness, and calmness. Throughout the experiment, each participant contributed 200 interactions, which encompassed both listening and speaking. This resulted in a cumulative total of 8,400 interactions across all participants. We evaluated the baseline performance of emotion recognition for each modality using established deep neural network (DNN) methods. The Emotion in EEG-Audio-Visual (EAV) dataset represents the first public dataset to incorporate three primary modalities for emotion recognition within a conversational context. We anticipate that this dataset will make significant contributions to the modeling of the human emotional process, encompassing both fundamental neuroscience and machine learning viewpoints.
description: Request access
If you would like to request access to these files, please fill out the form below.
You need to satisfy these conditions in order for this request to be accepted:
 
A user must fill out the following form to be granted access to the dataset: https://forms.gle/QvFY7EAwXgsnv9bcA
Once the form is submitted, we will review it and decide whether to grant or deny access.
DOI: 10.5281/zenodo.10338685
title: Rules of River Avulsion Supplementary Data Files

description: This dataset contains the data gathered and analyzed for the rules of river avulsion manuscript.

CHANGELOG:

0.0.2: BUG FIX: Updated a few avulsion foldernames/filenames that didn't match the supplementary tables (eg. "BETSI" instead of "BETSIBOKA_2004"), which threw errors in the visualization routines

0.0.3: Changed plotting code for better visualization, added the correct examples for Fig. 4 as some were changed during revision. updated data names and measurements for A018, A002, B4, G9 (n=4, 1 datapoint each, cross sections were extended further away from the channel to capture the full range of near-channel topography)
DOI: 10.5281/zenodo.13595886
title: Data to reproduce the results presented in Lake et al. 2024. Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2024.131930. ("High-frequency spatial sediment source fingerprinting using in situ absorbance data")

description: This repository contains data on the used absorbance data, measured at the field site, as described in Lake et al., 2024 (https://doi.org/10.1016/j.jhydrol.2024.131930). Furthermore, data on the turbidity, used calibration curves and R code to prepare the input data for the MixSIAR model are included in the data repository.
DOI: 10.5281/zenodo.3928890
title: Genome-Scale Imaging of the 3D Organization and Transcriptional Activity of Chromatin

description: We prepared these datasets associated with the paper “Genome-scale imaging of the 3D organization and transcriptional activity of chromatin” published in Cell: https://doi.org/10.1016/j.cell.2020.07.032. Please find detailed descriptions of individual data files in the README_August 2020.txt. We provide example codes to load and analyze these datasets in: https://github.com/ZhuangLab/Chromatin_Analysis_2020_cell. If you use these datasets, please cite our Cell paper.
description: This work is supported in part by the National Institutes of Health (to X.Z.). X.Z. is a Howard Hughes Medical Institute Investigator.
description: {"references": ["Su et al., \"Genome-Scale Imaging of the 3D Organization and Transcriptional Activity of Chromatin\", Cell (2020), https://doi.org/10.1016/j.cell.2020.07.032"]}
DOI: 10.5281/zenodo.7307957
title: Systematic Literature Mapping - Selected Articles Data Extraction

description: - CSV with the raw data extracted from abstract + full-text review from the selected articles. - CSV with normalized data. - CSV with the normalized data after being a feature engineering step in which some columns have been deleted. - CSV with formal context to extract the concepts lattice.