cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.c.3611075_d10.v1
title: Additional file 3: Table S3. of Measure transcript integrity using RNA-seq data

description: 120 RNA-seq datasets generated from clinical tissues of human metastatic castration resistant prostate cancers (mCRPC). Sample ID, RNA Integrity Numbers (RIN), the median Transcript Integrity Numbers (medTIN), total read pairs, read pairs with mapping quality &gt; 30, and number of genes with at least 10 reads are listed. “B” = Blood, “T” = Metastatic soft tumor tissue, “N” = Metastatic bone site, “V1” = Visit 1, “V2” = Visit 2. (XLS 22 kb)
DOI: 10.17632/6vb2j4tftg
title: PR Professionals and Stakeholders/Public Dataset

description: For increasing the diversity of our survey, we have solicited responses through google Forms, linkedin and personal e-mails. We have requested our known respondents from such sources to forward the survey solicitation email, questionnaire to their contacts. After around four months of continuous follow-up exercises, we have received 320 on-line responses (total for both the datasets). The total numbers of completed sample responses considered for further analysis were 295. Therefore, the response rate was 92.18 percent. Out of 295 sample respondents, 177 subjects (i.e. 60 percent) were male, while 118 (i.e., 40 percent) were female respondents. The average age of the respondents was 34.25 years from both the datasets. In the PR professionals dataset, out of the 95 respondents, 28 people (29.47 percent) of respondents were working as PR executives across various organizations, around 31 people (32.63 percent) were PR managers are rest were a mix of trainees, higher management, social media managers, etc. In the type of organizations, around 67 people (70.52 percent) were from PR agencies. Rest 30 percent were from government organizations, corporations, educational sectors are others. In the stakeholders or public dataset, 69 respondents (34.5 percent) were the internal public, 46 respondents (23 percent) were the media public (Journalists, influencers, etc.), 15 respondents (7.5 percent) were from the Government, 6 respondents (3 percent) were the event sponsors for a PR program. The educational qualifications of the respondents were segregated into masters’ degree, bachelors degree, PhD doctorate and others. Out of the 200 respondents of the stakeholder/public dataset, 103 (51.5 percent) had masters’ degree, 73 respondents (36.5 percent) had bachelor’s degree, 8 respondents( 4 percent) were doctorates and rest were in others category.
DOI: 10.17632/f5x6zvrmdh
title: An introduction to PYTHIA 8.2

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract The Pythia program is a standard tool for the generation of events in high-energy collisions, comprising a coherent set of physics models for the evolution from a few-body hard process to a complex multiparticle final state. It contains a library of hard processes, models for initial- and final-state parton showers, matching and merging methods between hard processes and parton showers, multiparton interactions, beam remnants, string fragmentation and particle decays. It also has a set of uti... Title of program: Pythia 8.2 Catalogue Id: ACTU_v4_0 Nature of problem High-energy collisions between elementary particles normally give rise to complex final states, with large multiplicities of hadrons, leptons, photons and neutrinos. The relation between these final states and the underlying physics description is not a simple one, for two main reasons. Firstly, we do not even in principle have a complete understanding of the physics. Secondly, any analytical approach is made intractable by the large multiplicities. Versions of this program held in the CPC repository in Mendeley Data ACTU_v1_0; PYTHIA 5.7 AND JETSET 7.4; 10.1016/0010-4655(94)90132-5 ACTU_v2_0; PYTHIA V6.154; 10.1016/S0010-4655(00)00236-8 ACTU_v2_1; PYTHIA Version number: 6.420; 10.1016/j.cpc.2009.08.008 ACTU_v3_0; Pythia 8.1; 10.1016/j.cpc.2008.01.036 ACTU_v4_0; Pythia 8.2; 10.1016/j.cpc.2015.01.024
DOI: 10.17632/ygbkgmhkxz
title: Data for: Piloting an integrated approach for estimation of environmental risk of Schistosoma haematobium infections in pre-school-aged children and their mothers at Barombi Kotto, Cameroon

description: This dataset contains: 1. GPS data for 12 pre-school-aged children, 12 mothers and 1 school-aged child on Barombi Kotto crater lake island; 2. Environmental data for snail surveys and eDNA detection of water samples conducted in 2016 and 2017 on the island and around the lake; 3. Shapefile of identified bathing sites on the island; 4. Shapefile of the shoreline risk area used for calculations.
DOI: 10.6084/m9.figshare.12442829.v1
title: H3K27ac Signal Track for H1 cells

description: Genome-wide signal tracks for each sample were generated in two stages: (i) assess ChIP–seq quality and obtain the predominant fragment length using phantompeakqualtools (https://code.google.com/archive/p/phantompeakqualtools/); (ii) use align2rawsignal (https://code.google.com/archive/p/align2rawsignal/wikis/Method.wiki) to generate signal track (parameters: -n = 5, -k = epanechnikov, -l = [frag-ment length from step (i)], -w = 150, -f = 0).
DOI: 10.6084/m9.figshare.24208689.v3
title: Annotation Files of East Friesian sheep

description: Annotation Files of East Friesian sheep, linked to NCBI: PRJNA1012099
DOI: 10.15468/dl.ejgpwt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.2593 -20.2058,35.9648 -19.5556,35.9648 -16.1504,26.9648 -16.1504,26.9648 -25.1504,35.1352 -25.1504,35.2524 -25.1064,35.8302 -24.5319,35.9648 -24.1383,35.9648 -21.4413,35.6073 -21.0389,35.2593 -20.2058))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013320-250525065834625/datasets/export for details.
DOI: 10.17632/fm6x5pfpnv
title: Diffusion-driven zircon Zr isotopic fractionation during ultramafic-mafic magmatic differentiation

description: Previous studies of natural samples have documented significant zircon Zr stable isotope variations. However, the petrologic mechanisms responsible for Zr stable isotope fractionation during magmatic differentiation remain unclear. To resolve this issue, in situ Zr stable isotope analyses of magmatic zircons are carried out on a suite of mafic plutonic rocks from southwestern Tianshan, west China. The results suggest that diffusion-driven Zr stable isotope fractionation during zircon growth is the most likely mechanism to produce permil-level, mass-dependent isotope fractionation. Zircon Zr stable isotope in the samples ranges from -4.50 ‰ to 1.48 ‰, with an extreme variation of 5.98 ‰. Some zircon grains analyzed for isotope profile show internal zoning, with lighter Zr stable isotope compositions in the core and heavier ones toward the rim, exhibiting intragrain variations up to 2.82 ‰. In addition, these zircons display significant intragrain variations in Zr/Hf ratio and Ti content, most of which show a decreasing trend with increasing δ94/90Zr values. Although the Zr/Hf and Ti variations in zircon profiles likely reflect fractional crystallization effect, the extreme Zr stable isotope variations cannot be explained by mass-dependent stable isotope equilibrium fractionations, which would only cause a fractionation of 0.08 ‰ at 800℃. As the temperature decreases and Zr supersaturation in the magma increases, the Zr stable isotope fractionations become more pronounced. The δ94/90Zr values exhibit a ‘bell shape’ distribution, with high and low values spreading outward, rather than trending in a single direction. Together with previous reported less variable Zr stable isotope of ultramafic-mafic igneous rocks and results of model calculation, the extreme zircon Zr stable isotope fractionation can be explained by the diffusion-limited crystallization of zircon (DLC model), which is principally controlled by zircon crystallization temperature and Zr supersaturation in the melts. With the decreasing temperature during magmatic differentiation, the diffusion-driven zircon Zr isotope fractionations become more significant. Therefore, the diffusion occurring the accumulation processes may be an effective mechanism to cause the remarkable Zr stable isotope variation in zircon scale.
DOI: 10.17632/fyfby9bsbb
title: Data for: Does the shale gas boom change the natural gas price-production relationship? Evidence from the U.S. market.

description: all variables used in dataset
DOI: 10.17632/zgdc9bxjm4
title: Data for Animal Behaviour article: The ontogeny of foraging in meerkats, a cooperatively breeding mongoose

description: Data and code required for running all the analyses and plotting all the figures presented in the paper: The ontogeny of foraging in meerkat, a cooperatively breeding mongoose.

Overview of files:

Focal watch datasets used for all the foraging analyses in the manuscript
- FocalWatches_PerFocalData: Focal level dataset used for the analyses of prey capture rate, digging efficiency, digging success, digging effort, surface prey & prey size
- FocalWatches_PreyData: Per focal sums of different prey categories caught, must be joined by FocalID to the above dataset to obtain model covariates.
- FocalWatches_DigBoutDur: Dig Bout dataset for analyses of the duration of individual dig bouts.

Code for foraging analyses
- MeerkatForagingGAMS_FocalLevel.Rmd - Code to run the models looking at foraging performance at the focal level and produce plots for the paper (Fig 1) and SIs.
- MeerkatForagingGAMS_Diet.Rmd - Code to run the models looking at specific diet components and produce plots for the paper (Fig 2) and SIs.
- MeerkatForagingGAMS_BoutLevel.Rmd - Code to run the models looking at duration of single digs and produce plots for the SIs.

Reproductive & growth data used for Figure 3
- LH_FirstDomAge: The age first dominant, use to create Figure 3b
- LH_FirstSexActivity: The first age that evidence of sexual behaviour was observed, used to create Figure 3a
- Growth_FrontClaw: Front claw measurements for the fitting of the monophasic growth curve
- Growth_Mass: Mass measurement for fitting the biphasic growth curve

Code for LH plots and Growth models
- LifeHistoryAnalyses.R - Code for producing Figure 3 and running the growth models that underlie some plots.

The IDs for Meerkats, Groups and Focals are unique to the datasets present here, so while they are joinable between the datasets presented here, they will not linked to other meerkat data. Additionally, while the code provided can generate all figures in the data, additional formatting has been applied to graphics regarding labels and text size before publication. All funding details associated with these data can be found in the associated publication.
DOI: 10.26180/25303297.v1
title: An Open Access Dataset for Supervised Machine Learning to Estimate Gait Biomechanical Characteristics

description: There are limited gait datasets in the literature due to the complexity and accessibility of the motion capture system. Moreover, all of them only comprises of young adult datasets. This paper presents a comprehensive dataset of human gait that contains the kinematics and muscle activities of lower limb captured using Electromyography (EMG), and Inertial Measurement Unit (IMU). The data were collected from 65 male and female participants with ages ranging from 19 years old to 73 years old. A case study that utilizes the dataset and the supervised machine learning models i.e. Feedforward Neural Network (FNN) and Long Short-term Memory (LSTM) network is proposed to demonstrate the feasibility of the dataset to estimate the dynamics of human gait, particularly the lower extremity muscle activity. The models were tested on an unseen dataset and other online dataset. The results showed that LSTM outperformed FNN. The LSTM models achieved root mean square error (RMSE) below 11%, correlation coefficient (r) above 90%, and peak timing differences below 10% when predicting EMG signals in test dataset. The dataset is expected to accelerate the adoption of supervised machine learning in clinical and rehabilitation settings, particularly gait analysis.
DOI: 10.6084/m9.figshare.1301920.v1
title: SSVEP data (fdt file)

description: SSVEP data fdt to validate Matching Pursuit with asymmetric functions algorithm.
DOI: 10.6084/m9.figshare.25000856.v1
title: Genome and annotation of Delonix regia

description: We use PacBio HiFi and Hi-C data to assemble a chromosome-level genome for Delonix regia
DOI: 10.17632/4kzy8v78bm
title: Risk of Autoimmune Skin and Connective Tissue Disorders After mRNA-based COVID-19 Vaccination

description: The Supplementary Materials for the article titled 'Risk of Autoimmune Skin and Connective Tissue Disorders After mRNA-based COVID-19 Vaccination' published in the Journal of the American Academy of Dermatology
DOI: 10.17632/mvjhmhhrkj
title: Optimization of water network control through the minimization of local power demand

description: Results of the optimization
DOI: 10.17632/ybnn6z3tv8
title: Data for: Removal of metals and hydrocarbons from stormwater using coagulation and flocculation

description: The file contains all the experimental data related to the manuscript.
DOI: 10.6084/m9.figshare.20406156.v1
title: Supplementary data for Islam et al. 2022 - Confirmation of novel signatures

description: All results from the <em>de novo </em>extraction of mutational signatures for confirming the patterns of the novel signatures for additional datasets.
DOI: 10.6084/m9.figshare.21427953.v1
title: 50K data

description: 50K iSelect data and associated data for <em>HvST1 vs Hvst1 </em>F<sub>3</sub> recombination analysis and plotting. Corresponding scripts used to analyse this data are available at https://github.com/BioJNO/HvST1
DOI: 10.6084/m9.figshare.25573803.v2
title: CellRanger analyzed scRNAseq data

description: We collected whole lung tissues from mice at the age of 2 to 3 months for ScRNA-seq analysis. Equal number of single cells isolated from male and female WT (BioLegend, Cat#155831 or #155833) or CKO (BioLegend, Cat#155835 or #155837) or TKO (WT (BioLegend, Cat#155831 or #155833) mice was stained with Cell Hashing antibodies respectively, and loaded on 10X Genomics Chromium Single Cell Controller to generate barcoded single cells for construction of single cell cDNA libraries. ScRNA-seq was performed on a Hiseq 4000 with pair-end 150bp. The demultiplexing, barcoded processing, gene counting and aggregation were made using the Cell Ranger software (v4.0.0) (https://support.10xgenomics.com/single-cell-gene-expression/software/pipelines/latest/what-is-cell-ranger).
DOI: 10.6084/m9.figshare.26630515.v4
title: Curated CYP450 Interaction Dataset: Covering the Majority of Phase I Drug Metabolism

description: We collected and organized a detailed dataset encompassing both substrates and non-substrates for six principal cytochrome P450 (CYP450) isozymes, responsible for 90\% of Phase I drug metabolism in humans. These isozymes, specifically CYP1A2, CYP2C9, CYP2C19, CYP2D6, CYP2E1, and CYP3A4, play critical roles in the detoxification and metabolic processing of therapeutic compounds. The dataset, meticulously assembled, includes interactions with approximately 2000 compounds per enzyme, ensuring comprehensive coverage and high accuracy. Employing a combination of conventional machine learning techniques alongside advanced methodologies such as Graph Convolutional Networks (GCN), robust models have been developed to elucidate these drug-enzyme interactions. The dataset is poised to significantly contribute to fields requiring pharmacokinetic modeling, furthering drug development efforts and toxicological studies by providing an essential resource for the accurate prediction of metabolic pathways, thereby enhancing drug safety and efficacy assessments.Each CSV file contains four columns:Chemical nameSMILES notationLabels (where 1 indicates a substrate of CYP450 enzymes, and 0 indicates a non-substrate)Data sources
DOI: 10.17632/5z7k2fbd5d
title: SARS-CoV-2 CodonUsage Data

description: Synonymous APOBEC and OTHER variant data with associated sampling date and codon usage information.
DOI: 10.17632/zp4nf2dxbh
title: Poultry Vocalization Signal Dataset for Early Disease Detection

description: The aim of generating this dataset is to deliver open, accessible and quality machine learning dataset for Poultry farm management. The dataset contains a total of 346 audio signal files which are divided into three folders: healthy, noise and unhealthy. The healthy folder contains 139 audio files, noise folder has 86, while unhealthy folder has 121 files. The audio files are saved in .wav file format.
DOI: 10.6084/m9.figshare.12585374.v1
title: Gene database of Clostridium perfringens ATCC 13124

description: <i>Clostridium perfringens </i>is a spore-forming, Gram-positive anaerobic bacterium commonly found in the natural environment. It could cause serious food poisoning, and has the shortest generation time of any bacteria at 6.3 minutes in thioglycolate medium. Given its fast doubling time, and formidable arsenal of pathogenic effectors, it has been the subject of intense research in host-microbe interactions. This work sought to provide fundamental information about the genetic repertoire of <i>C. perfringens</i> ATCC 13124 by parsing its annotated genome sequence downloaded from Genbank. Comprising gene name, gene function and gene sequence of all genes in the genome of <i>C. perfringens</i>, the resource should find use in guiding experiments seeking to construct loss-of-function mutants in studying pathogenesis, as well as understanding its survivability in the gastrointestinal tract environment.
DOI: 10.6084/m9.figshare.22284343.v1
title: Supplementary Material for: Case Report of AdAPT-001-Mediated Sensitization to a Previously Failed Checkpoint Inhibitor in a Metastatic Chordoma Patient

description: Chordoma is a rare, but aggressive bone tumor with a high recurrence rate that primarily arises at the cranial and caudal ends of the axial skeleton. Systemic chemotherapies are not effective against the tumor, and outside of surgical resection and radiation, no approved options are available. Prognosis depends on the extent of surgical resection, with the more the better, and adjuvant radiotherapy. Herein is presented the first ever case of a recurrent chordoma patient that responded to the combination of one dose of an experimental TGF-beta (TGFβ) trap carrying oncolytic adenovirus, known as AdAPT-001, followed by immune checkpoint inhibitor therapy, despite prior progression on an anti-PD-1. This case report highlights the potential of AdAPT-001 as a treatment modality in combination with checkpoint inhibition for recurrent chordoma.
DOI: 10.6084/m9.figshare.28788998.v2
title: Dataset for G2c subtype S protein enhances the virulence of G2a subtype PEDV

description: This is a dataset for G2c subtype S protein enhances the virulence of G2a subtype PEDV.
DOI: 10.6084/m9.figshare.29092538.v1
title: Tests.pdf

description: This dataset contains pre-test and post-test scores from a vocabulary learning study involving university EFL students in Iraq. The experimental group used AI-assisted tools for vocabulary learning, while the control group followed traditional methods. Two types of assessments were administered: a Vocabulary Size Test and a Productive Vocabulary Test. The scores reflect the effectiveness of AI integration on vocabulary acquisition, with mean differences calculated for both test types.
DOI: 10.6084/m9.figshare.3565908.v1
title: Appendix G. Raw data file (in tabular form) of fine-root biomass (live, &lt;2-mm diameter) across all sampling dates and replicate sites.

description: Raw data file (in tabular form) of fine-root biomass (live, &lt;2-mm diameter) across all sampling dates and replicate sites.
DOI: 10.6084/m9.figshare.7873157.v1
title: High resolution paddy rice maps in cloud-prone Bangladesh and Northeast India using Sentinel-1 data

description: Sentinel-1 SAR- based paddy rice maps for Bangladesh and Northeast India for 2017
DOI: 10.17632/s8dgbs3rng
title: Hierarchical sales data of an Italian grocery store

description: This dataset contains sales data of an Italian grocery store at the SKU level. It consists of 118 daily time series representing the quantity of pasta sold from 01/01/2014 to 31/12/2018. Besides univariate time series data, the quantity is integrated by the information on the presence or the absence of a promotion.
DOI: 10.17632/zrynydx7py
title: Soft-shelled foraminiferal image dataset

description: The data represent an image dataset of monothalamous soft-shelled Foraminifera. Soft-shelled monothalamous foraminifera are poorly known compared to their more robust, hard-shelled, polythalamous (multichambered) relatives, as reflected in the low numbers of described species compared to the much larger number of undescribed morphotypes. They are usually under-represented in traditional, morphology-based studies because their morphological identification is a time-consuming and difficult task. Moreover, their delicate tests are either ignored or not preserved, particularly when sediment residues are dried. In addition, micropaleontologiists are generally not interested in them because that have very low fossilization potential. Despite this, they are abundant and represent a diverse foraminiferal component living in the marine ecosystem particularly in the bathyal and abyssal deep- sea (Table 2 in Gooday et al., 1997) and in high-latitude settings (e.g., Thorson, 1934; Gooday et al., 2006 Svalbard paper). Therefore, the central aim of this dataset is to provide a tool that micropaleontologists and biologists can use to incorporate delicate monothalamids into foraminiferal studies in Arctic settings.
DOI: 10.6084/m9.figshare.20400991.v1
title: Mechanism for seismic supershear dynamic rupture based on in-situ stress: a case study of the Palu earthquake in 2018

description: The Palu earthquake, with a magnitude of 7.5, severely devastated the region in Central Sulawesi, Indonesia, but the mechanism of dynamic rupture considering in-situ conditions is not well understood. The in-situ stress field and fault geometry play important roles in the evolution of the supershear rupture. This study investigated the in-situ stress field, critical factors including the inversion of principal stress orientation by the focal mechanism solution, and constraint magnitude using the improved lateral pressure coefficient polygon. Furthermore, the dynamic rupture process is simulated using the finite element method (FEM) considering the strike and in-situ stress magnitudes of the seismogenic fault. The result shows that the principal stress orientation rotates counterclockwise about 15° from north to south, and the northern part of the fault zone is less straight than the fault from Palu Bay to the south, which are two decisive factors for supershear in the north. The damage zones considering the peak acceleration and co-seismic displacement are enlarged in Palu City, which is attributed to the rupture mode. It provides plausible explanations for this supershear event and sheds light on different dynamic rupture processes and seismic hazards that can be predicted by fully understanding the regional in-situ stress field.