cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22047275
title: Structural basis of catalytic activation in human splicing

description: Data S1. Protein composition of purified human BAQR spliceosomes as revealed by mass spectrometry analyses. Data S2. Model building details for the BAQR complex. The BAQR subunits/regions modeled only in the overall maps M5 and M4 (corresponding to states A and B) are colored in purple.
DOI: 10.6084/m9.figshare.22047275.v1
title: Structural basis of catalytic activation in human splicing

description: Data S1. Protein composition of purified human BAQR spliceosomes as revealed by mass spectrometry analyses. Data S2. Model building details for the BAQR complex. The BAQR subunits/regions modeled only in the overall maps M5 and M4 (corresponding to states A and B) are colored in purple.
DOI: 10.6084/m9.figshare.22180447
title: Lysine Catabolism Reprograms Tumour Immunity through Histone Crotonylation

description: Gel source data and gating strategy for all figures
DOI: 10.6084/m9.figshare.22180447.v1
title: Lysine Catabolism Reprograms Tumour Immunity through Histone Crotonylation

description: Gel source data and gating strategy for all figures
DOI: 10.6084/m9.figshare.21210770.v1
title: Data for: RNA conformational propensities determine cellular activity

description: This is the raw data and analysis to convert to free energy values for the four assay types described in the manuscript: RNA conformational propensities determine cellular activity. The prism file includes all data and generated figures in the manuscript.
DOI: 10.6084/m9.figshare.21210770
title: Data for: RNA conformational propensities determine cellular activity

description: This is the raw data and analysis to convert to free energy values for the four assay types described in the manuscript: RNA conformational propensities determine cellular activity. The prism file includes all data and generated figures in the manuscript.
DOI: 10.6084/m9.figshare.22180015
title: GWAS and meta-analysis identifies 49 genetic variants underlying critical Covid-19

description: Full GWAS data are browsable and available for download at https://genomicc.org/data cohorts.xlsx - Tabular details of geno. typing methods, phenotypes and other characteristics of each cohort included in meta-analyses credible_sets.xlsx - Full table of credible sets of variants obtained from fine-mapping for each genome-wide significant region. gene_level.xlsx - Full results of gene-level analysis, aggregating statistical data for all variants relating to each protein-coding gene. GSMR_eQTL.tsv - Full results from GSMR analysis for RNA expression. GSMR_pQTL.tsv - Full results from GSMR analysis for protein level. twas.xlsx - Full results for colocalisation and TWAS analyses in lung, blood, monocytes and across multiple tissue types.
DOI: 10.6084/m9.figshare.22180015.v1
title: GWAS and meta-analysis identifies 49 genetic variants underlying critical Covid-19

description: Full GWAS data are browsable and available for download at https://genomicc.org/data cohorts.xlsx - Tabular details of geno. typing methods, phenotypes and other characteristics of each cohort included in meta-analyses credible_sets.xlsx - Full table of credible sets of variants obtained from fine-mapping for each genome-wide significant region. gene_level.xlsx - Full results of gene-level analysis, aggregating statistical data for all variants relating to each protein-coding gene. GSMR_eQTL.tsv - Full results from GSMR analysis for RNA expression. GSMR_pQTL.tsv - Full results from GSMR analysis for protein level. twas.xlsx - Full results for colocalisation and TWAS analyses in lung, blood, monocytes and across multiple tissue types.
DOI: 10.6084/m9.figshare.24715722
title: The 10 sports and popular villages

description: China's top ten sports villages and people's villages
DOI: 10.6084/m9.figshare.24715722.v1
title: The 10 sports and popular villages

description: China's top ten sports villages and people's villages
DOI: 10.6073/pasta/c35e712cfc988f6539d564d3a69999ad
title: Jornada Basin LTER: Wireless substation at NPP T-WEST site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data is measured at 10cm, 20 cm, and 30 cm soil depths at the NPP T-WEST substation located in center of 70m x 70m Jornada LTER NPP T-WEST site. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.23629452.v1
title: A multi-reservoir extruder for time-resolved serial protein crystallography and compound screening at X-ray free-electron lasers

description: The supplementary data describing the performance of the multi-reservoir extruder for time-resolved serial protein crystallography and compound screening at X-ray free-electron lasers.
DOI: 10.6084/m9.figshare.23629452
title: A multi-reservoir extruder for time-resolved serial protein crystallography and compound screening at X-ray free-electron lasers

description: The supplementary data describing the performance of the multi-reservoir extruder for time-resolved serial protein crystallography and compound screening at X-ray free-electron lasers.
DOI: 10.6084/m9.figshare.24050337.v1
title: Fructose Overconsumption Impairs Hepatic Manganese Homeostasis and Ammonia Disposal

description: Mn and Zn levels, arginase activity, Western blot
DOI: 10.6084/m9.figshare.24050337
title: Fructose Overconsumption Impairs Hepatic Manganese Homeostasis and Ammonia Disposal

description: Mn and Zn levels, arginase activity, Western blot
DOI: 10.6084/m9.figshare.23239742.v1
title: Product structure

description: Product structure from synthesis
DOI: 10.6084/m9.figshare.23239742
title: Product structure

description: Product structure from synthesis
DOI: 10.34740/kaggle/dsv/7103922
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.24715731
title: On site investigation of ethnic traditional sports events

description: Table 1. On site investigation of ethnic traditional sports events
DOI: 10.6084/m9.figshare.24715731.v1
title: On site investigation of ethnic traditional sports events

description: Table 1. On site investigation of ethnic traditional sports events
DOI: 10.25345/c5wm14470
title: MassIVE MSV000093554 - Unveiling the Neuroprotective Potential of Nobiletin in human Neural Progenitor Cells (hNPCs)
title: The data belongs to the proteomic analysis of human neural progenitor cells exposed to sodium arsinate and treated with Nobielin.
DOI: 10.34740/kaggle/dsv/7103984
title: AutoXGB
DOI: 10.34740/kaggle/dsv/7103985
title: OnlineFree
DOI: 10.5281/zenodo.10250571
title: STRUCTURAL CHANGES IN THE BRONCHUS AND LUNGS OF YOUNG CHILDREN WITH BRONCHOPULMONARY DYSPLASIA
DOI: 10.5281/zenodo.10250572
title: STRUCTURAL CHANGES IN THE BRONCHUS AND LUNGS OF YOUNG CHILDREN WITH BRONCHOPULMONARY DYSPLASIA
DOI: 10.5281/zenodo.10250573
title: JUMBOQLAR JOZIBASI (O'ZBEK VA TURK TOPİSHMOQLARİ MİSOLİDA)
DOI: 10.5281/zenodo.10250574
title: JUMBOQLAR JOZIBASI (O'ZBEK VA TURK TOPİSHMOQLARİ MİSOLİDA)
DOI: 10.6084/m9.figshare.24711981
title: Equation 1. Goodnes of Fit.docx

description: Structural equation modeling (SEM) uses a metric called GoF (goodness of fit) to evaluate how well the suggested model fits the observed data. It is an index that combines both the explained variance (R²) and the Communality (Testing of Convergent validity) of the indicators in the model. GoF can be estimated using the equation
DOI: 10.6084/m9.figshare.24711981.v1
title: Equation 1. Goodnes of Fit.docx

description: Structural equation modeling (SEM) uses a metric called GoF (goodness of fit) to evaluate how well the suggested model fits the observed data. It is an index that combines both the explained variance (R²) and the Communality (Testing of Convergent validity) of the indicators in the model. GoF can be estimated using the equation
DOI: 10.57967/hf/1020
title: java-trace-dataset
DOI: 10.6084/m9.figshare.22817291
title: Marine Toxin Domoic Acid Alters Nitrogen Cycling in Sediments

description: Source Data for generating figures.
DOI: 10.13026/d767-e709
title: Respiratory dataset from PEEP study with expiratory occlusion

description: A trial was conducted to collect gauge pressure and flow from a venturi-based
flow-meter, dynamic abdominal and thoracic circumference from rotary-encoder
based tape measures, and aeration data from electrical impedance tomography
(EIT). Data was collected from 80 adults, breathing with continuous positive
airway pressure (CPAP) ventilation, under ethical consent from the University
of Canterbury Human Research Ethics Committee (HREC 2023/04/LR-PS). In each
subject's recording the positive end expiratory pressure (PEEP) was increased
from 4 to 12 cmH2O in 0.5 cmH2O increments, with data recorded for 30 seconds
at each level. Time was built in for researchers to change PEEP settings, in
which data continued to be collected. The recording also begins and ends with
a 60 second period of breathing without CPAP. During the trial subjects
breathed through a full-face mask and filter collected to the data collection
device and, when PEEP was applied, CPAP circuitry. A camera-shutter based
device was used to rapidly occlude the expiratory pathway to enable
identification of passive lung mechanics. Subjects were instructed to breathe
normally throughout the trial. Both raw and processed data is included in this
publication to maximise its utility. Subject demographic data was self-
reported using a questionnaire completed prior to each trial and is collated
in a spreadsheet as part of this dataset. The demographic data collected was
as follows: sex; height; weight; age; any history of asthma; smoking, or
vaping; and resting chest width and depth. Ultimately, this dataset was
collected to enable the development and validation of model-based respiratory
function assessment methods. These methods aim to increase the capacity of
automated testing, removing clinical burden of respiratory monitoring and
improving patient-specific care.
DOI: 10.21227/h1h2-1486
title: Newton-like search algorithm for the reconstruction of admissible joint-references from a prescribed output-reference for the non-Standard and Generalized N-Trailers

description: This dataset consists of the source Matlab files (the m-files) which implement the computational Newton-like algorithm solving the reconstruction problem for the joint-references of the non-Standard and Generalized N-Trailers upon a prescribed reference path of the last trailer. A user can examine the effectiveness and properties of the algorithm by selecting one of the seven possible 3-trailer structures with various types of hitching. The default reference path prescribed for the last trailer implemented in the code is a parametrized Lissajous-like closed curve defined on the normalized interval [0,1] of the parametrizing variable. The program computes a set of parameters (the weights) for a Fourier basis with up to 2000 harmonics chosen to approximate an evolution of the reference joint angles. The results being obtained during the computations are plotted on-the-fly, and the approximation accuracy is provided by the values of quality factors.
DOI: 10.21227/vp9n-wv96
title: he FormAI Dataset : 112,000 AI generated C Programs Classified by Vulnerabilities

description: The FormAI dataset is the first AI-generated repository comprising 112,000 compilable C programs. The length of each generated program varies between 6 and 616 lines, covering a diverse set of tasks ranging from simple to complex ones, such as network management, table games, or string manipulation. Each program is labelled based on vulnerabilities present in the code using a formal verification method based on the Efficient SMT-based Bounded Model Checker (ESBMC). This strategy conclusively identifies vulnerabilities without reporting false positives. We built this dataset with a methodology utilizing zero-shot prompts, and created a diverse datasets facilitating a wide range of coding errors. All the programs in the dataset were generated by GPT-3.5-turbo. Additionally, these labeled samples can be utilized to train Large Language Models (LLMs) since they contain the exact program location of the software vulnerability.
DOI: 10.21227/7qm5-dz13
title: Cardio Data

description: Data used were from the following: Kaggle cardiovascular dataset available at https://www.kaggle.com/sulianova/cardiovascular-disease-dataset; UCI machine learning Cleveland and Hungarian heart disease dataset available at http://archive.ics.uci.edu/ml/machine-learning-databases/heart-disease/ and available from the corresponding author upon request.
DOI: 10.5281/zenodo.7041455
title: Dataset for "When Function Inlining Meets WebAssembly: A Counterintuitive Effect on Runtime Performance"

description: This repository contains the Experiment Results and Collection scripts for our ESEC/FSE 2023 submission, "When Function Inlining Meets WebAssembly: A Counterintuitive Effect on Runtime Performance" Our runtime experiment data is located in the <em>Experiment Results</em> directory. This directory contains two subdirectories, <em>All Experiment Results</em> and <em>Counterintuitive Results Only</em>. In <em>All Experiment Results</em>, we present the runtime results from our Experiments 1-5 and the Libsodium.js case study as CSV files. For the Chromium and Firefox results, each CSV file list the sample names and multiple columns for each of the four optimization levels, O0-O3. Under each optimization level, we list the runtime (in milliseconds) with inlining enabled (from the Baseline experiment), the runtime with inlining enabled (from one of Experiment #1-5), and percent change in runtime after disabling inlining. The <em>Counterintuitive Results Only</em> directory contains CSV files presenting only the samples from each Experiment #1-5 that meet our threshold of at least a 5% decrease in runtime after disabling inlining. The Excel file, <em>Wasm Function Inlining Experiment Data.xlsx</em>, contains all of these results in a single workbook, as well as formatting applied to highlight the counterintuitive runtime values presented in our paper. The raw data collected from our experiments, including the generated WebAssembly, HTML, and JS files to run the samples, is found under the <em>RawCollectedData</em> directory. This folder contains a zipped file that, when extracted, contains subdirectories for each sample's collected data. The <em>CollectionScripts</em> directory contains the scripts necessary to run our experiments. The <em>PatchFiles</em> directory contains the files from the Binaryen and LLVM infrastructures with the changes that we introduced to enable and disable select optimization passes through environment variables. The <em>Scripts</em> directory contains the scripts we used to run our experiments. The main file within this directory that serves as the entry point is <em>opt_level_inlining.py</em>. This file uses the other scripts to run Experiments 1-5 in our study. The script <em>libsodiumjs_script.py</em> is used to run our Libsodium.js case study.
DOI: 10.13026/w8q8-ky94
title: Computed Tomography Images for Intracranial Hemorrhage Detection and Segmentation

description: After traumatic brain injury (TBI), intracranial hemorrhage (ICH) may occur that could lead to death or disability if it is not accurately diagnosed and treated in a time-sensitive procedure. Currently, Computerized Tomography (CT) scans are examined by radiologists to diagnose ICH and localize affected regions. In this work, we collected a dataset of 82 CT scans of patients with TBI. ICH regions in these scans were delineated in each slice by two radiologists. The radiologists also annotated each CT slice for the presence of different types of ICH and fractures.
DOI: 10.6073/pasta/c923b8e044310f3f5612dab09c2cc6c2
title: North Temperate Lakes LTER: Chemical Limnology of Primary Study Lakes: Nutrients, pH and Carbon 1981 - current

description: Parameters characterizing the nutrient chemistry of the eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, and Trout lakes, unnamed lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra, and Fish) are measured at multiple depths throughout the year. These parameters include total nitrogen, total dissolved nitrogen, nitrite+nitrate-N, ammonium-N, total phosphorus, total dissolved phosphorus, dissolved reactive phosphorus (only in the southern lakes and not in Wingra and Fish after 2003), bicarbonate-reactive filtered and unfiltered silica (both discontinued in 2003), dissolved reactive silica, pH, air equilibrated pH (discontinued in 2014 in the northern lakes and in 2020 in the southern lakes), total alkalinity, total inorganic carbon, dissolved inorganic carbon, total organic carbon, dissolved organic carbon, and total particulate matter (only in the northern lakes in this data set; total particulate matter in southern lakes starting in 2000 is available in a separate dataset). Sampling Frequency: Northern lakes- monthly during ice-free season - every 5 weeks during ice-covered season. Southern lakes- Southern lakes samples are collected every 2-4 weeks during the summer stratified period, at least monthly during the fall, and typically only once during the winter, depending on ice conditions. Number of sites: 11 Note that years 2020 & 2021 are not complete, but we are publishing the data that we have. The dataset will be updated as new data is received.
DOI: 10.21227/esy0-sm56
title: DIRS21-Dataset for Indian Road Scenarios

description: We propose a novel high-resolution dataset named, “Dataset for Indian Road Scenarios (DIRS21)” for developing perception systems for advanced driver assistance systems.For data acquisition, we utilized 12- megapixel camera with an f/1.8 aperture with 1920 X 1080 pixels resolution. This dataset consists of 5093 images, those were collected under various scenes, weather, season, and illumination conditions. Each image is labelled with the name of the class to which it belongs. Our work considers the following seven classes of objects: Pedestrian, Rider, Car, Bus, Truck, NMV (Non-Motorized Vehicle), and EA (Electric Auto). Moreover, In our dataset, we consider (i) sedan and SUV in the same class called ‘Car’, (ii) minibus and Volvo bus are together grouped in the class ’Bus’, (iii) Cyclists and motorcyclists are placed in the class ’Rider’.
DOI: 10.24432/c5p31h
title: Breast Tissue
DOI: 10.25828/kcsd-nb04
title: RIA ICT Access Survey 2017-2018
DOI: 10.5281/zenodo.8309220
title: Datasets of paper "Towards Assessing the Real-World Impact of Defects in Blockchain-based Smart Contracts"

description: Datasets of paper "Towards Assessing the Real-World Impact of Defects in Blockchain-based Smart Contracts" published on the 1st International Workshop on Software Defect Datasets (SDD 2023). The GitHub repository is available here: https://github.com/MichaelHettmer/sdd23
DOI: 10.5281/zenodo.2654887
title: COMPASS-XP

description: COMPASS-XP is a dataset of matched photographic and X-ray images of single objects, made available for use in Machine Learning & Computer Vision research, in particular in the context of transport security. Objects are imaged in multiple poses, and accompanied by metadata including labels for whether we consider the object to be dangerous in the context of aviation. Object classes overlap with those in the popular ImageNet Large Scale Visual Recognition Challenge class set and the WordNet lexical database, and identifiers for shared classes in both schemes are also provided.
DOI: 10.5281/zenodo.3362845
title: CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data

description: This is the train and test dataset of Combined (CT-MR) Healthy Abdominal Organ Segmentation (CHAOS) Challenge. This data consists of images of Abdominal CT and MRI from different patients. Train data contains both DICOM images and their ground truth masks. Test set only contains DICOM images. For further information about the data and chalenge, please visit https://chaos.grand-challenge.org/ Scientist may use this data not only join to the CHAOS challenge but also for another NonCommercial works as long as they give appropriate credit, provide a link to the license, and indicate if changes were made.
DOI: 10.5281/zenodo.3758705
title: Model Collection of the Business Process Management Academic Initiative

description: This model collection contains 29,810 models. The collection originates from the BPM Academic Initiative (BPMAI). In 2012, the initial members of this initiative were the following institutions represented by the corresponding professors: Mathias Weske (HPI, University of Potsdam), Marlon Dumas (University of Tartu), Marcello La Rosa (University of Melbourne), Jan Mendling (WU Vienna), Hajo A. Reijers (Utrecht University), Michael Rosemann (Queensland University of Technology, Australia), Jan Recker (University of Cologne, Germany), Wil van der Aalst (RWTH Aachen, Germany), Michael zur Mühlen (Stevens Institute of Technology, Hoboken, NJ) and Frank Leymann (University of Stuttgart), respectively, complemented by Dr. Gero Decker (Signavio GmbH, Berlin). The vendor Signavio provides a free workspace to the members of the BPM Academic Initiative and the models being created are made available for reseach purposes on the Creative Commons licence. The BPM Academic Initiative collection comprises tens of thousands of models, of various process modeling languages, and size. Models of the collection are available in several revisions, which opens a new perspective in researching the way people model.<br> The BPMAI collection is shared in a JSON format. Tools have been developed at HPI, University of Potsdam for efficiently processing these files. See the PromniCat project. Note that this project is no longer further developed, so you have to work with the information available there. Various analysis techniques can be applied for these models using the jBPT library or Apromore.
DOI: 10.25345/c5rv0db4b
title: MassIVE MSV000093555 - Rapid Discovery of Antitumor Substances from Marine Fungi Based on OSMAC Strategy and UPLC-Q-TOF-MS
title: Six marine fungal strains (P-WZ-2, P-WZ-3-2, P-WZ-4, P-WZ-5, P341) with significant changes in cancer cell inhibition induced by the OSMAC strategy were analysed by UPLC-QTOF-MS/MS. The ACD / MS Structure ID Suite software was used to predict the possible structures with inhibitory effects on cancer cells.
DOI: 10.17632/6twkxhb2bm.1
title: voice_leadership

description: This research discusses the complex relationship between voice and leadership emergence. Participants were composed of 312 undergraduates from Xi’an Jiaotong University. They were assigned to teams of 3 to 8 persons, with a total of 68 teams (without formal leaders). The results showed that different content of voice made different effects on leadership emergence.Supportive voice and constructive voice influenced significantly the emergence of individual leadership, while the influence of defensive voice and disruptive voice was insignificant. And we revealed the mechanism of voice content on leadership emergence from social process, and discussed the role of friendship networks.
DOI: 10.17632/v9dx5v2wx4.1
title: Supplementary data

description: Title: Deciphering Plant-Pathogen Interactions: Moving Towards the Uncharted Territories with Interactomics Supplementary data for manuscript submission to Plant Science Journal.