cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17000985.v1
title: CRISPR-dependent endogenous gene regulation is required for virulence in piscine <i>Streptococcus agalactiae</i>

description: The clustered regularly interspaced palindromic repeats (CRISPR)-Cas (CRISPR-associated) system is a prokaryotic defence against invading mobile genetic elements, such as bacteriophages or exogenous plasmids. Beyond this, this system has been shown to play an important role in controlling the virulence of some bacterial pathogens. <i>Streptococcus agalactiae</i> strain GD201008-001, a causative agent of septicemia and meningitis in tilapia, contains a single type II CRISPR-Cas system with Cas9 as a signature protein. In this study, we found that the deletion of CRISPR significantly reduced adhesion, invasion, cytotoxicity and haemolysis, and caused severely attenuated virulence in the piscine <i>S. agalactiae</i> strain. RNA-Seq identified 236 endogenous genes regulated by CRISPR, with 159 genes upregulated and 77 genes downregulated. The resulting change in gene transcription by CRISPR was much more pronounced than that by <i>cas9</i> in this bacterium, indicating CRISPR-mediated endogenous gene regulation was mostly independently of <i>cas9</i>. Subsequent studies showed that CovR/S two-component system was transcriptionally upregulated due to CRISPR deletion, which repressed the expression of the <i>cylE</i> gene coding for a cytolytic toxin, and thus decreased the activity of β-haemolysin/cytolysin. However, upregulation of CovR/S was not the contributor to the attenuation phenotype of ΔCRISPR. Further, we demonstrated that CRISPR is capable of repressing the expression of Toll-like receptor 2 (TLR2)-activating lipoprotein Sag0671 and thus dampens the innate immune response. This study revealed that the CRISPR system of <i>S. agalactiae</i> exhibited extraordinary potential capability in the regulation of endogenous transcripts, which contributes to bacterial innate immune evasion and virulence.
DOI: 10.6084/m9.figshare.19411055.v1
title: The underestimated role of carrion in diet studies

description: We include two datasets: Data used for the article: Sebastián-González E, Morant M, Moleón M,Redondo D, Morales-Reyes Z, Pascual-Rico R Sánchez-Zapata JA, Pérez-García JM, Arrondo E. The underestimated role of carrion in vertebrate's diet studies. Global Ecology and Biogeography, accepted <br> - One with the list of 159 facultative scavenger species and information on the scavenging patterns and the amount of carrion and vertebrates assigned to each species in the Elton traits database (Wilson et al. 2014). - Another database with the review of 908 studies on the diet of these species and the amount of carrion and vertebrates assigned to them bu these studies. <br> Both archives include a README sheet with information about the variables
DOI: 10.6084/m9.figshare.21507837.v3
title: The BlueBio Project’s database

description: The BlueBio database is a comprehensive and robust compilation of international and national research projects active in the years 2003-2019 in Fisheries, Aquaculture, Seafood Processing and Marine Biotechnology. Based on the COFASP projects’ database, it was implemented within the ERA-NET Cofund BlueBio project through a 3-years data collection including 3 surveys (.xlsx file) and a wide data retrieval. After being integrated, data were harmonised, shared as open and disseminated through a WebGIS (<em>https://bluebioeconomy.eu/the-bluebio-projects-online-database/</em>). The WebGIS was key for data update and validation as users were enabled to add new projects and edit existing ones. 
The database consists of 3,254 “georeferenced” projects, described by 22 parameters that are clustered into textual and spatial, some directly collected while others deduced. The database is a living archive to inform actors of the Blue Bioeconomy sector in a period of rapid transformations and research needs.
The complete BlueBio database information backup (.sql file) should be restored in Postgre SQL. Collected research projects are also presented in a more user friendly .csv file, along with the R code used for its extraction.
The database and the related repository will be updated in 2023. 
* corresponding  author: Anna Nora Tassetti, annanora.tassetti@cnr.it
DOI: 10.6084/m9.figshare.22337629.v2
title: Fatigue Database of Additively Manufactured Alloys

description: Fatigue is a process of mechanical degradation that is usually assessed based on empirical rules and experimental data obtained from standardized tests. Fatigue data of engineering materials are commonly reported in <em>S</em>-<em>N</em> (the stress-life relation), <em>e</em>-<em>N</em> (the strain-life relation), and d<em>a</em>/d<em>N</em>- <em>ΔK</em> (the relation between the fatigue crack growth rate and the stress intensity factor range) data. Fatigue and static mechanical properties of additively manufactured (AM) alloys, as well as the types of materials, parameters of AM, processing, and tests are collected from thousands of scientific articles till the end of 2022 using natural language processing, machine learning, and computer vision techniques. The results show that the performance of AM alloys could reach that of conventional alloys although data dispersion and system deviation are present. The database (FatigueData-AM2022) is formatted in compact structures, hosted in an open repository, and analyzed to show their patterns and statistics. The quality of data collected from the literature is measured by defining rating scores for datasets reported in individual studies and through the fill rates of data entries across all the datasets. The database also serves as a high-quality training set for data processing using machine learning models. Data extraction and analysis procedures are outlined and the tools are publicly released. A unified language of fatigue data is suggested to regulate data reporting for the fatigue performance of materials to facilitate data sharing and the development of open science. <br> Article DOI: 10.1038/s41597-023-02150-x
DOI: 10.6084/m9.figshare.26084737.v1
title: Damage information keywords

description: This file includes damage information keywords to classify Weibo texts.
DOI: 10.6084/m9.figshare.28716161.v1
title: Dataset and Code: Community-wide genotyping of <i>Batrachochytrium dendrobatidis</i> in Ecuadorian forests

description: Real-time PCR and SNP genotyping assays were used to determine <i>Bd</i> prevalence and the lineage infecting amphibians in three distinct ecoregions of Ecuador. <i>Bd</i> prevalence was 32% and only Bd-GPL was detected among 464 hosts tested.
DOI: 10.6084/m9.figshare.28852241.v2
title: TrajRL-TFF_Code&Data

description: Data and code for manuscript titled "TrajRL-TFF: Trajectory Representation Learning via Time-Frequency Feature Fusion".
DOI: 10.6084/m9.figshare.915368.v1
title: Alignment of template sequences and human HRH3.

description: Alignment of template sequences and human HRH3.
DOI: 10.17632/vgggrsmj89
title: Factors affecting COVID-19 vaccination intention

description: Factors affecting COVID-19 vaccination intention. Evidence from Morocco.
DOI: 10.6084/m9.figshare.17061005.v1
title: Traceable Fresh Food

description: Effect of Institutional Trust on Consumers’ Health and Safety Perceptions and Repurchase Intention for Traceable Fresh Food
DOI: 10.6084/m9.figshare.22262026.v2
title: Correlations of prepubertal urbanicity, AAM and personality traits with brain features

description: Statistical brain maps from image analysis
DOI: 10.6084/m9.figshare.23822445.v2
title: Alternative Splicing

description: Differential Splicing analysis for article "Gene signatures in human granulosa cells from integrated analyses of multiple datasets"
DOI: 10.17632/5b742jv7t5
title: Dissipation profiles for PIPERS dataset

description: This dataset is described in a paper submitted June 12 2020 for review, as a journal article by Rogers, Meylan, and Kohout. A working title is "Estimates of spectral wave attenuation in Antarctic sea ice, using model/data inversion". In Version 2 of this dataset, ki.Inversion1.v2.mat, the dissipation estimates, ki(f), are the same, but I have added an additional variable, E(f)/En(H), named "E_ratio_save". This is the ratio between the observed spectral energy density and the estimated noise level. Some users may be willing to tolerate more or less noise contamination than others. With this information, users of the dataset may decide how much of the data to include/exclude. An early version of the article (circa June 8 2020, so contemporary with version 1 of this dataset), can be found at https://arxiv.org/abs/2006.04978 .
DOI: 10.17632/5stn873wft
title: Phone sensor data while driving a car and normal or aggressive driving behaviour classification

description: (1_20210317_184512.csv, 2_20210317_171452.csv) - Data has been recorded on an android phone attached to the dashboard of the car. Data was collected while driving the car on city roads in mild traffic. The parameters recorded are : Longitude, Latitude, Speed, Distance, Time, Acc X, Acc Y, Acc Z, Heading, gyro_x, gyro_y, gyro_z (Acc - Accelerometer, Gyro - Gyroscope). (3_FinalDatasetCsv.csv) - Above two files merged but only Accelerometer and Gyroscope parameters are present. Also another column present called 'label'. This column basically has two classes - '0' and '1'. '0' represents normal driving behavior while '1' represents aggressive driving behavior. These datasets can be used for training machine learning models that classify a person's driving into normal or aggressive.
DOI: 10.17632/b9948zhyh2
title: Supplementary material of  "Carbon Pricing, Border Adjustment and Climate Clubs: Options for International Cooperation" by Ernst et al. (2023)

description: This directory contains supplementary material of the paper  "Carbon Pricing, Border Adjustment and Climate Clubs: Options for International Cooperation" by Anne Ernst, Natascha Hinterlang, Alexander Mahle and Nikolai Stähler (Journal of International Economics, forthcoming).

Supplementary material encompasses:
i)   Appendix providing more model details and first-order conditions (Appendix A), information on the calibration (Appendix B), additional simulation results and robustness checks (Appendix C-E).

ii) Replication files for simulations of the multi-sectoral E-DSGE model EMuSe, including directories for all scenarios of the paper.
DOI: 10.17632/hwm673bv4m
title: SFU-HW-Objects-v1

description: The dataset SFU-HW-Objects-v1 contains bounding boxes and object class labels for High Efficiency Video Coding (HEVC) v1 Common Test Conditions (CTC) video sequences. The presented dataset contains only object labels; raw video sequences themselves can be obtained from the Joint Collaborative Team on Video Coding (JCT-VC).
DOI: 10.17632/ndb6t28xbk
title: Dataset of Annotated Rice Panicle Image from Bangladesh

description: This dataset focuses on drone-based rice panicle detection in Gazipur, Bangladesh, offering valuable visual data to researchers in agricultural studies. Captured using an advanced drone with a 4K resolution camera, the dataset comprises 2193 high-resolution images of rice fields and 5701 images after augmentation. All the images are annotated with precision to aid in automated rice panicle identification. Its main purpose is to support the development of algorithms and systems for critical agricultural tasks like crop monitoring and yield estimation, as well as disease identification and plant health evaluation. The dataset's creation involved extracting frames from drone-recorded video footage and meticulously annotating them with manual and deep learning algorithms using a semi-automatic approach.
DOI: 10.6084/m9.figshare.22691032.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.17632/jv8h4z8xht
title: Survey Dataset of Socioeconomic Status and the Asset Ownership of Fishing Communities in Terengganu, Malaysia

description: The reported datasets include demographic characteristics of the respondents, fishing zone, vessel type, fishing operations and roles, household income and asset ownership by the respondents. The datasets are described in the Data In Brief article "Survey Dataset of Socioeconomic Status and the Asset Ownership of Fishing Communities in Terengganu, Malaysia" (2021).
DOI: 10.6084/m9.figshare.25606152.v1
title: Navier_Stokes_Dataset.mat

description: This is the dataset for Navier-Stokes equations used in the article "Neural Integral Equations" https://arxiv.org/abs/2209.15190, https://github.com/emazap7/ANIE
DOI: 10.6084/m9.figshare.3502664.v1
title: data_2010_tunisia

description: This dataset contains data from Twitter before the Arab Spring in Tunisia.
DOI: 10.6084/m9.figshare.681851.v1
title: 465868

description: aaaaa
DOI: 10.17632/7799zjchf8
title: Data for: Electrical and optical properties of annealed AlSnZnO films deposited using radio frequency magnetron cosputtering system
DOI: 10.17632/9h9b224k26
title: Original datasets for Adipocyte-derived ferroptotic signaling mitigates obesity

description: Lipidomics and oxylipins datasets
DOI: 10.17632/b5dvfvwvt8
title: Chromatography Files of the Complete Mitochondrial Genome of Neochalcosia remota (Lepidoptera: Zygaenidae)

description: This dataset contains chromatography files from Sanger sequencing results fot the complete mitochondrial genome assembly of Neochalcosia remota (Lepidoptera: Zygaenidae).
DOI: 10.17632/z68w75pjtx
title: Spatial Variation of Micrometeorite Abundance in Global Ocean

description: Micrometeorite influx represents a continuous source of extraterrestrial material on Earth's surface. However, the observed abundance of these particles is strongly influenced by local terrestrial sedimentation rates and prevailing environmental conditions. This model, derived from global ocean sedimentation rate data presented by Restreppo et al. (2020), quantifies the predicted distribution of micrometeorites across the world's oceans. For the purpose of analysis and targeted collection efforts, the global ocean has been partitioned into three distinct regions, with areas denoted in red indicating the most promising locations for micrometeorite recovery.

References
Restreppo, Giancarlo, et al. (2020), Machine-learning predicted logarithmic values of marine benthic vertical sediment accumulation rate on the seafloor. Marine Geoscience Data System (MGDS). doi:10.26022/IEDA/329769
DOI: 10.6084/m9.figshare.11844783.v1
title: Data from: Exon probe sets and bioinformatics pipelines for all levels of fish phylogenomics

description: Data files from the manuscript "Exon probe sets and bioinformatics pipelines for all levels of fish phylogenomics". <br><br>Please see the ReadMe for explanations of the files.
DOI: 10.6084/m9.figshare.22691218.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.28347407.v1
title: Data from Eggertsen et al. PNAS 2025

description: These are microscopy images and experimental protocols from Eggertsen et al, PNAS 2025, "Logic-based machine learning predicts how escitalopram attenuates cardiomyocyte hypertrophy". The files and their mapping to the manuscript figures are described in README.TXT.
DOI: 10.6084/m9.figshare.7078253.v2
title: .csv files for statistical analysis in MetaboAnalyst

description: These are .csv files for statistical analysis in MetaboAnalyst.
DOI: 10.15468/dl.6sp5u2
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Potentilla acaulis L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 123 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013322-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xykc5rc6p3
title: Data for: Mineralogical dataset of natural zeolites from Lessini Mounts, Northern Italy: analcime, natrolite, phillipsite and harmotome chemical composition

description: Chemical composition of natural zeolites (analcime, natrolite, phillipsite, harmotome) from Lessini basalts (Northern Italy).
DOI: 10.6084/m9.figshare.21671216.v1
title: RNA-seq data.rar

description: RNA-seq data of MM435S cells and shGATA3-MM435S cells
DOI: 10.6084/m9.figshare.26148589.v3
title: EduCodeVR Teaching Data.xlsx

description: 虚拟现实 （VR） 技术通过模拟真实世界环境，提供创新的学习方法，彻底改变了科学、技术、工程、艺术和数学 （STEAM） 教育。本研究的重点是在 VR 中为 Arduino UNO 微控制器开发设计教育系统。学生在 VR 环境中参与 Arduino UNO 的图形编程和硬件集成，实现对农场和交通的智能控制。这种方法可帮助学生在实际生产环境中掌握 Arduino UNO 的实际应用，进一步培养他们的编程技能并培养创新思维。我们开展了为编程初学者量身定制的 Arduino 课程，通过学习成果测试和 VR 系统可用性评估来评估 EduCodeVR 的可用性及其对学生的影响。结果表明，使用 STEAM 教育方法的 EduCodeVR 有效地提高了用户的综合素养和计算思维，凸显了将 VR 编程课程整合到 STEAM 教育中的巨大潜力。通过这种创新的教学方法，学生不仅可以获得知识，还可以享受身临其境的学习乐趣。
DOI: 10.6084/m9.figshare.6731198.v4
title: Study on the effect of model and data model surrogation on environmental simulations

description: This is the dataset of a computational experiment aimed to quantify the effects of the surrogations of a building model and of the data model relative to the building model on design explorations.The experiment make use of an innovative procedure supported by metamodelling, by the author, for hybridising design space models of different scope and/or resolution. The procedure has been implemented in the metamodelling library Interlinear (Sim::OPT::Interlinear, https://metacpan.org/pod/Sim::OPT::Interlinear).This research has been published in the following article:Gian Luca Brunetti (2020). "Grafting of design-space models onto models of different scope or resolution". <i>Journal of Building Performance Simulation</i>. 13(3): 227-246. DOI: 10.1080/19401493.2020.1712477 <br>
DOI: 10.17632/8bj7pz2wvh
title: SEG-Y files from reflection seismic profiles of the ViDEPI dataset (Gargano offshore, Adriatic Sea, Southern Italy)

description: The available data possible dealing with the Gondola fault on the present-day continental platform are represented only by vintage unmigrated stack seismic profiles, as raster images of poor quality, hence very difficult to interpret. These are parts of the reflection seismic profiles D445, D451 and D452 acquired during the end of the sixties of the last century, and freely available from the ViDEPI database (www.videpi.com/videpi/videpi.asp). Therefore, we wondered: how to improve the quality the existing data, of crucial importance to better constrain the fault in this area?
With the aim to obtain SEG-Y files, namely of increased quality information to be modified and better represented in appropriate software, we have firstly merged the raster images of the related PDF files downloadable as portions of the above seismic profiles. The merged PDF images have been converted into TIFF ones for each seismic profile. By the use of IMAGE2SEGY, a new Matlab program to convert images of seismic profiles to georeferenced SEG-Y formatted files, the input files TIFF, together with the corresponding TXT input files (code rows including, for each seismic profile TIFF image, information such as, the trace length in pixels, line number, marine or land position, SEG-Y revision format, SEG-Y numeric format, UTM zone, geographic coordinates, pixel position, delay or time over the datum, time interval of the seismic profile in milliseconds) have been uploaded. Consequently, the output SEG-Y files for each seismic profile have been obtained. Furthermore, a data processing applied to SEG-Y converted dataset in order to remove low frequency noise. In details, a ‘boxcar’ frequency filter (at 16 Hz low cutoff and 374 Hz high cutoff frequencies) applied basing on poor acquisition data information available by means of DELPH Seismic ® software. Finally, a general improvement of seismic images has been obtained.
DOI: 10.5281/zenodo.15568153
title: OPPORTUNITIES TO INCREASE EMPLOYMENT OF THE POPULATION
DOI: 10.5281/zenodo.15568154
title: OPPORTUNITIES TO INCREASE EMPLOYMENT OF THE POPULATION
DOI: 10.6084/m9.figshare.28057997.v7
title: Observed GEM and DGM data in the Arctic Ocean

description: This dataset includes the observed concentrations of both atmospheric gaseous elemental mercury and marine dissolved gaseous mercury, and the corresponding auxiliary data. This dataset was acquired in the Arctic Ocean in summertime, 2023. This dataset also includes Generalized Additive Model (GAM) code implemented in R to simulate the GEM concentration in the Arctic Ocean during the corresponding cruise and assess the relative contributions of individual variables.