cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24578627.v1
title: Bayesian spline-based hidden Markov models with applications to actimetry data and sleep analysis

description: B-spline-based hidden Markov models employ B-splines to specify the emission distributions, offering a more flexible modelling approach to data than conventional parametric HMMs. We introduce a Bayesian framework for inference, enabling the simultaneous estimation of all unknown model parameters including the number of states. A parsimonious knot configuration of the B-splines is identified by the use of a trans-dimensional Markov chain sampling algorithm, while model selection regarding the number of states can be performed based on the marginal likelihood within a parallel sampling framework. Using extensive simulation studies, we demonstrate the superiority of our methodology over alternative approaches as well as its robustness and scalability. We illustrate the explorative use of our methods for data on activity in animals, i.e. whitetip-sharks. The flexibility of our Bayesian approach also facilitates the incorporation of more realistic assumptions and we demonstrate this by developing a novel hierarchical conditional HMM to analyse human activity for circadian and sleep modelling.
DOI: 10.6084/m9.figshare.24905154
title: Effect of topically-applied milrinone or nitroglycerin on internal mammary artery free flow

description: Surgical mobilization of the internal mammary artery (IMA) can induce graft vasospasm, which is commonly managed by wrapping the IMA in a vasodilator-soaked swab before grafting. However, the choice of the most effective topical vasodilator remains the subject of continued investigation. We carried out a prospective randomized controlled trial to compare the effect of topically-applied milrinone, nitroglycerin and normal saline on IMA free flow.<b><i>Methods </i></b>Forty-six consecutive patients undergoing elective primary coronary artery bypass grafting were enrolled. After the left IMA was harvested, free flow was measured under controlled hemodynamic conditions before any intervention (flow 1) and at a mean of 12.5 minutes after the topical application of one of three agents (milrinone, nitroglycerin or normal saline) on the IMA (flow 2).<b><i>Results </i></b>All agents induced a significant increase in IMA flow, and flow 2 was significantly higher in the nitroglycerin and milrinone groups compared to the normal saline group, even while controlling for flow 1 as a centered continuous variable. Nevertheless, there was no statistically significant difference in flow 2 between the nitroglycerin and milrinone groups.<b><i>Conclusions</i></b>Topically-applied milrinone and nitroglycerin can increase blood flow of the IMA significantly in the early period after surgical mobilization. IMA blood flow was greater after the topical application of milrinone compared to nitroglycerin, but this has failed to reach statistical significance in the present study setting.
DOI: 10.5281/zenodo.10431696
title: PlasmidHunter database
DOI: 10.34740/kaggle/dsv/7286431
title: FutureCast Real Estate Prediction
DOI: 10.5281/zenodo.10431695
title: PlasmidHunter project scripts, package source codes and benchmark data
DOI: 10.5281/zenodo.10433596
title: PlasmidHunter project scripts, package source codes and benchmark data
DOI: 10.5281/zenodo.10431988
title: Supp_database
DOI: 10.5281/zenodo.10431989
title: Supp_database
DOI: 10.6084/m9.figshare.24905166
title: Anisogramma anomala isolate OR1 amino acid sequences

description: Fasta file of protein sequences of genes encoded in the Anisogramma anomala OR1 genome.
DOI: 10.6084/m9.figshare.24905166.v1
title: Anisogramma anomala isolate OR1 amino acid sequences

description: Fasta file of protein sequences of genes encoded in the Anisogramma anomala OR1 genome.
DOI: 10.20383/102.0412
title: The impact of fluoxetine on the gut microbiome of Pimephales promelas

description: This data is supplementary information regarding the effects of fluoxetine on the gut microbiome of Fathead Minnows when aqueously exposed to the compound. After a 28-day exposure to three different concentrations of fluoxetine; 0.01, 10 and 100 µg/L, or control (0 µg/L), fish were euthanized, and gut contents was collected. Using DNA extraction methods, PCR amplification and sequencing, bioinformatics was then performed to interpret the metagenomic data. All tests and data were collected between September 2019 and January 2021 at the University of Saskatchewan, Saskatoon, SK, Canada. This data was generated to better understand how pharmaceuticals found downstream of wastewater treatment plants may impact the gut microbiome of aquatic organisms.
DOI: 10.6084/m9.figshare.24905163
title: 87176SNPs across 354 common bean accessions dataset for SCN project

description: This is 87176 SNPs across 354 common bean accessions, which is for SCN GWAS and GP project.
DOI: 10.6084/m9.figshare.24905163.v1
title: Untitled Item

description: This is 87176 SNPs across 354 common bean accessions, which is for SCN GWAS and GP project.
DOI: 10.5281/zenodo.10057093
title: MuVi-Sync Dataset

description: Welcome to the MuVi-Sync dataset! This collection provides a rich array of features for both music and video elements. Here's a breakdown of the directory structure:

Music Features



vevo_chord: Chord feature data

vevo_note_density: Note density feature data

vevo_loudness: Loudness feature data


Video Features



vevo_scene_offset: Scene offset feature data

vevo_emotion: Emotion feature data



5c_l14p: 5 emotion categories (exciting, fearful, tense, sad, relaxing)

6c_l14p: 6 emotion categories (exciting, fearful, tense, sad, relaxing, neutral)



vevo_semantic: Semantic feature

vevo_motion: Motion feature


Others



vevo_meta:



idlist.txt: List of features, titles, and YouTube IDs



vevo: Original video files (.mp4) (on request by email: kjysmu@gmail.com)

vevo_audio: Original audio files (.mp3) (on request by email: kjysmu@gmail.com)


 

For detailed information about our dataset, please refer to our paper,"Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer model"  [ Paper ] | [ GitHub ]
DOI: 10.5281/zenodo.10050275
title: MuVi-Sync Dataset

description: Welcome to the MuVi-Sync dataset! This collection provides a rich array of features for both music and video elements. Here's a breakdown of the directory structure:

Music Features



vevo_chord: Chord feature data

vevo_note_density: Note density feature data

vevo_loudness: Loudness feature data


Video Features



vevo_scene_offset: Scene offset feature data

vevo_emotion: Emotion feature data



5c_l14p: 5 emotion categories (exciting, fearful, tense, sad, relaxing)

6c_l14p: 6 emotion categories (exciting, fearful, tense, sad, relaxing, neutral)



vevo_semantic: Semantic feature

vevo_motion: Motion feature


Others



vevo_meta:



idlist.txt: List of features, titles, and YouTube IDs



vevo: Original video files (.mp4) (on request by email: kjysmu@gmail.com)

vevo_audio: Original audio files (.mp3) (on request by email: kjysmu@gmail.com)


 

For detailed information about our dataset, please refer to our paper,"Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer model"  [ Paper ] | [ GitHub ]
DOI: 10.57992/nmrxiv.p48.s268
title: 3-o-acetyl-11-keto-b-boswelliasaure
DOI: 10.57992/nmrxiv.p48.s268.d1571
title: 3-o-acetyl-11-keto-b-boswelliasaure[3]
DOI: 10.57992/nmrxiv.p48.s268.d1572
title: 3-o-acetyl-11-keto-b-boswelliasaure[5]
DOI: 10.57992/nmrxiv.p48.s268.d1573
title: 3-o-acetyl-11-keto-b-boswelliasaure[1]
DOI: 10.57992/nmrxiv.p48.s268.d1574
title: 3-o-acetyl-11-keto-b-boswelliasaure[6]
DOI: 10.57992/nmrxiv.p48.s268.d1575
title: 3-o-acetyl-11-keto-b-boswelliasaure[2]
DOI: 10.57992/nmrxiv.p48.s268.d1576
title: 3-o-acetyl-11-keto-b-boswelliasaure[4]
DOI: 10.34740/kaggle/ds/2973565
title: Layline Institutional Holding Reports
DOI: 10.34740/kaggle/ds/2973477
title: Layline Insider Trading Dataset
DOI: 10.34740/kaggle/dsv/7286566
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.34740/kaggle/dsv/7286571
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.34740/kaggle/dsv/7286597
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.34740/kaggle/dsv/7286599
title: Full TMDB Movies Dataset 2023 (930K Movies)
DOI: 10.57992/nmrxiv.p49.s269
title: sample
DOI: 10.57992/nmrxiv.p49.s269.d1577
title: sample[4]
DOI: 10.57992/nmrxiv.p49.s269.d1578
title: sample[5]
DOI: 10.57992/nmrxiv.p49.s269.d1579
title: sample[1]
DOI: 10.57992/nmrxiv.p49.s269.d1580
title: sample[3]
DOI: 10.57992/nmrxiv.p49.s269.d1581
title: sample[2]
DOI: 10.57992/nmrxiv.p50
title: p-Aminophenyl Alkyl Ether-based 19F MRI Probe for Specific Detection and Imaging of Hypochlorite Ion (NMRShiftDB datasets)
DOI: 10.57992/nmrxiv.p50.s270
title: 4-2-2-2-trifluoroethoxy-benzenamine
DOI: 10.57992/nmrxiv.p50.s270.d1582
title: 4-2-2-2-trifluoroethoxy-benzenamine[4]
DOI: 10.57992/nmrxiv.p51.s271
title: Hydroxysafflor yellow A
DOI: 10.57992/nmrxiv.p51.s271.d1583
title: Hydroxysafflor yellow A[2]
DOI: 10.57992/nmrxiv.p51.s271.d1584
title: Hydroxysafflor yellow A[6]
DOI: 10.57992/nmrxiv.p51.s271.d1585
title: Hydroxysafflor yellow A[4]
DOI: 10.57992/nmrxiv.p51.s271.d1586
title: Hydroxysafflor yellow A[5]
DOI: 10.57992/nmrxiv.p51.s271.d1587
title: Hydroxysafflor yellow A[1]
DOI: 10.57992/nmrxiv.p51.s271.d1588
title: Hydroxysafflor yellow A[3]
DOI: 10.34740/kaggle/dsv/7286710
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.34740/kaggle/dsv/7286722
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.5281/zenodo.10408256
title: Experimental validation of simplicial complexes in multivariable coupled oscillators. Coupling: Lineal (Class II) vs NoLineal (Class III)

description: The data sets correspond to the experimental implementation of synchronization phenomenon in simplicial complexes. In this particular case, the simplicial complex consists of 3-node network, where each node is an electronic Rössler-like oscillator whose parameters were fixed to operate in chaotic regime. In simplicial complexes, it is possible to model two types of interactions among nodes: pair-wise interactions (linear interactions) and high-order interactions (non-linear interactions).

The complete experiment consists of coupling simultaneously by means of linear and non-linear interactions the simplicial complex, the coupling occurs in state variables x (class III) and y (class II). The full data sets are organized in four Dataset (third), whose name explicitly indicates in which state variable occurs each coupling. In these case, Lineary-nonlinearx means that the linear coupling occurs in variable y (class II) whereas the non-linear coupling occurs in variable x (class III).

Now, each folder contains 10000 files which come from varying the linear coupling and the nonlinear coupling 100 times each one. The file name is composed as follows: rootname XX YY, where XX corresponds to the variation number in linear coupling, whereas YY corresponds to the variation number in non-linear coupling.

Internally in each file we can find 6 columns and 30,000 rows. Each pair of columns corresponds to the x and y variables of each oscillator and the rows correspond to time-varying samples.
DOI: 10.25345/c58w38c9p
title: MassIVE MSV000093729 - cyanolichen collection North West United State
title: Cyanolichen collections from NW US (Oregon, Washington, North California), collected from 2019~2023. Including several Lobaria sp, Nephroma sp, Collema sp and Peltigera sp.
DOI: 10.6084/m9.figshare.24905301
title: Data for Reproducing Figs.1-6 in Ma et al. 2023 for Arctic Atmospheric River Trends

description: Data used to reproduce Figs. 1-6 in Ma et al. 2023 for Arctic atmospheric river trends. There are six NetCDF files. One for each of the six figures presented in the main text. They are labeled as "Figure_01_data", "Figure_02_data", etc. Further explanations for the variables inside each file are provided within the NetCDF files. Please use "ncdump" to access these information.
DOI: 10.5281/zenodo.10433625
title: The data set and supporting information

description: This code calculates the transmission coefficient of OPE-molecules based molecular junctions.
DOI: 10.5281/zenodo.10433626
title: The data set and supporting information

description: This code calculates the transmission coefficient of OPE-molecules based molecular junctions.
DOI: 10.34740/kaggle/dsv/7286823
title: Public Opinion Russia Ukraine War (Updated Daily)
DOI: 10.6084/m9.figshare.24579109.v1
title: Blastocystis genomes

description: Blastocystis tortoise isolate (Blastoise) genome, Blastocystis ST1 JDR genome, Blastocystis ST1 NandII genome, Blastocystis ST3 DL genome, Blastocystis ST3 NMH genome, Blastocystis ST4 BT1 genome
DOI: 10.6084/m9.figshare.24905400
title: Unite ITS

description: IT'S database
DOI: 10.6084/m9.figshare.24905400.v1
title: Unite ITS

description: IT'S database
DOI: 10.34740/kaggle/dsv/7286915
title: BBC News
DOI: 10.5281/zenodo.10433706
title: Data Analysis for: Coupling Cell Size Regulation and Proliferation Dynamics for C. glutamicum Reveals Cell Division Based on Surface Area

description: Data and methods of Data Analysis of: Coupling Cell Size Regulation and Proliferation Dynamics of

C. glutamicum Reveals Cell Division Based on Surface Area

 

Authors: Cesar Nieto and Zahra Vahdat at University of Delaware (2023)

Correspondence: cnieto@udel.edu.
DOI: 10.5281/zenodo.10433707
title: Data Analysis for: Coupling Cell Size Regulation and Proliferation Dynamics for C. glutamicum Reveals Cell Division Based on Surface Area

description: Data and methods of Data Analysis of: Coupling Cell Size Regulation and Proliferation Dynamics of

C. glutamicum Reveals Cell Division Based on Surface Area

 

Authors: Cesar Nieto and Zahra Vahdat at University of Delaware (2023)

Correspondence: cnieto@udel.edu.
DOI: 10.6084/m9.figshare.24898461
title: AFLP and methylation-sensitive AFLP (MSAP) data of individuals from three populations of 14 Mediterranean plant species (Valverde et al. 2024)

description: This dataset contains amplified fragment length polymorphism (AFLP) and methylation-sensitive amplified polymorphism (MSAP) data from geo-referenced plant individuals belonging to 14 plant species and up to three populations per species.Valverde_et_al_Heredity_AFLP.xlsx contains AFLP data.Valverde_et_al_Heredity_MSAP.xlsx contains MSAP data.
DOI: 10.6084/m9.figshare.24898461.v1
title: AFLP and methylation-sensitive AFLP (MSAP) data of individuals from three populations of 14 Mediterranean plant species (Valverde et al. 2024)

description: This dataset contains amplified fragment length polymorphism (AFLP) and methylation-sensitive amplified polymorphism (MSAP) data from geo-referenced plant individuals belonging to 14 plant species and up to three populations per species.Valverde_et_al_Heredity_AFLP.xlsx contains AFLP data.Valverde_et_al_Heredity_MSAP.xlsx contains MSAP data.
DOI: 10.34740/kaggle/dsv/7287070
title: WallStreetBets 2022
DOI: 10.5281/zenodo.10433023
title: Vocalization Patterns in Laying Hens - An Analysis of Stress-Induced Audio Responses

description: This repository houses a comprehensive collection of data and resources from the study "Vocalization Patterns in Laying Hens - An Analysis of Stress-Induced Audio Responses." Led by Dr. Suresh Neethirajan at Mooanalytica, Department of Agriculture & Aquaculture, Faculty of Agriculture & Computer Science, Dalhousie University, this research represents a significant foray into the field of poultry ethology and welfare monitoring using advanced machine learning techniques.

Key Components of the Repository





Experimental Audio Data



Control and Treatment Vocalizations: Audio recordings of laying hens under two different stress conditions – sudden umbrella opening (Treatment 1) and simulated dog barking sounds (Treatment 2), along with control groups. The processed dataset is approximately 460 MB for the control group experimental data and about 2 GB for the 2 treatment group experimental data, capturing the nuanced responses of hens to these stressors.

Original Raw Data: The original, unprocessed audio data is around 9 GB in size. Though not included in the repository, it can be made available upon reasonable request.





Algorithm and Code Files



CNN Feature Extraction and Classification Algorithms Python scripts used for the extraction of features from the audio data using Convolutional Neural Networks (CNN) and subsequent classification.

Supplementary Algorithms Additional code files that support the processing and analysis of the audio data.





MFCC Feature Dataset



An Excel file containing the 40 Mel Frequency Cepstral Coefficients (MFCC) features extracted from the vocalization data. This dataset provides a detailed spectral analysis of the hen's vocalizations, crucial for understanding their response to stress.




Study Overview

This study aimed to classify and analyze the vocalization patterns of laying hens subjected to different stressors. Using a CNN model, the research identified distinct vocal patterns between control and treated groups, indicating unique vocal responses to different types of stressors. This study is pivotal in understanding the impact of environmental stressors on poultry welfare and behavior. The age of the chickens and the timing of stressor application were also critical factors influencing vocalization patterns.

Implications and Applications:

The findings from this study have significant implications for poultry welfare monitoring and management. By providing a non-invasive method to assess the well-being of chickens, this research contributes valuable insights into enhancing poultry management practices and welfare standards.

The resources in this repository are intended for researchers, academicians, and professionals in animal behavior, veterinary science, and poultry management. We encourage the use of these data and tools for further research and practical applications in the field of precision (Digital) livestock farming and animal welfare.

For any queries or requests related to the raw dataset, please contact Dr. Suresh Neethirajan.
DOI: 10.5281/zenodo.10433022
title: Vocalization Patterns in Laying Hens - An Analysis of Stress-Induced Audio Responses

description: This repository houses a comprehensive collection of data and resources from the study "Vocalization Patterns in Laying Hens - An Analysis of Stress-Induced Audio Responses." Led by Dr. Suresh Neethirajan at Mooanalytica, Department of Agriculture & Aquaculture, Faculty of Agriculture & Computer Science, Dalhousie University, this research represents a significant foray into the field of poultry ethology and welfare monitoring using advanced machine learning techniques.

Key Components of the Repository





Experimental Audio Data



Control and Treatment Vocalizations: Audio recordings of laying hens under two different stress conditions – sudden umbrella opening (Treatment 1) and simulated dog barking sounds (Treatment 2), along with control groups. The processed dataset is approximately 460 MB for the control group experimental data and about 2 GB for the 2 treatment group experimental data, capturing the nuanced responses of hens to these stressors.

Original Raw Data: The original, unprocessed audio data is around 9 GB in size. Though not included in the repository, it can be made available upon reasonable request.





Algorithm and Code Files



CNN Feature Extraction and Classification Algorithms Python scripts used for the extraction of features from the audio data using Convolutional Neural Networks (CNN) and subsequent classification.

Supplementary Algorithms Additional code files that support the processing and analysis of the audio data.





MFCC Feature Dataset



An Excel file containing the 40 Mel Frequency Cepstral Coefficients (MFCC) features extracted from the vocalization data. This dataset provides a detailed spectral analysis of the hen's vocalizations, crucial for understanding their response to stress.




Study Overview

This study aimed to classify and analyze the vocalization patterns of laying hens subjected to different stressors. Using a CNN model, the research identified distinct vocal patterns between control and treated groups, indicating unique vocal responses to different types of stressors. This study is pivotal in understanding the impact of environmental stressors on poultry welfare and behavior. The age of the chickens and the timing of stressor application were also critical factors influencing vocalization patterns.

Implications and Applications:

The findings from this study have significant implications for poultry welfare monitoring and management. By providing a non-invasive method to assess the well-being of chickens, this research contributes valuable insights into enhancing poultry management practices and welfare standards.

The resources in this repository are intended for researchers, academicians, and professionals in animal behavior, veterinary science, and poultry management. We encourage the use of these data and tools for further research and practical applications in the field of precision (Digital) livestock farming and animal welfare.

For any queries or requests related to the raw dataset, please contact Dr. Suresh Neethirajan.
DOI: 10.6084/m9.figshare.24117144.v2
title: A dataset on the hydrodynamic force on individual salt marsh plants and the flow structure and wave dissipation over a meadow of plants under waves with and without current

description: This dataset includes laboratory measurements of both the force on individual salt marsh plants and the flow structure and wave energy dissipation over a meadow of plants. Both experiments were conducted in the Nepf Fluid Mechanics lab at MIT in a 24-m-long, 38-cm-wide, 60-cm-tall water channel. Data measured in the individual plant experiment (IE) was represented as synchronized measurements of plant drag and free surface displacement, as well as 3-dimensional velocity profiles provided as raw data, phase-averaged data, and statistical data. The meadow experiments (ME) provide time-varying data of free surface displacement along the meadow at 10 and 15 cm intervals, as well as velocity profiles upstream of and within the meadow with 1 to 2 cm vertical resolution. In addition, the turbulent kinetic energy for each measurements and the wave decay coefficients for all conditions were calculated and reported.
DOI: 10.22002/tah8g-2f382
title: Dataset for: Elevation anomalies of the volcanic floor unit and their relationships to the multiple lakes of Jezero crater, Mars.

description: Dataset for: Elevation anomalies of the volcanic floor unit and their relationships to the multiple lakes of Jezero crater, Mars.
Includes several GeoPackage (.gpkg) files containing vector GIS map layers for cross sections, elevation profile measurements, surface fit points, and surface fit boundaries.
.TIF and .VRT files correspond to various HiRISE and CTX DEMs, orthomosaic products,  detrended elevation data, and relative topographic position data.
DOI: 10.6084/m9.figshare.24872034.v2
title: The tectonic responses in the overriding plate during the Tethyan convergence and the progressive extrusion process in Sundaland: insights from the Wuliangshan massif, SE Tibetan Plateau

description: We present the results of zircon U-Pb and Hf isotope analyses for the Wuliangshan metamorphic complex in the southeast Tibetan Plateau. According to this data, we reveal that the Wuliangshan metamorphic complex reflects the tectonic events of rapid subsidence and deposition that occurred within a short period from 260-250 Ma in a back-arc tectonic setting. Then, statistics of <sup>40</sup>Ar/<sup>39</sup>Ar age data from the Red River Fault, the Chongshan-Lancang River Fault, and the Gaoligong Fault are presented to discuss the tectonic extrusion process of the Sundaland.
DOI: 10.5281/zenodo.10433793
title: Study on the relationship between fixation characteristics and hit rate in psychological procedure training of free throw

description: Study on the relationship between fixation characteristics and hit rate in psychological procedure training of free throw