cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13764208.v1
title: Rat 7M Videos Subject 3 - Day 1

description: All videos for Subject 3, Day 1 in Rat 7M.<br><br>The video naming scheme is s{subject_id}-d{recording_day}-camera{camera_id}-{starting_frame_idx}.mp4.<br><br>Subject ID, recording day, and camera ID match videos to the data in the motion capture and camera calibration parameter .mat files.<br><br>Videos are provided in 3500 frame chunks, with the index of the starting frame in each file denoted by the {starting_frame_idx} portion of the filename.<br><br>Using the 'frames' field in the 'cameras' struct inside 'mocap.mat', the corresponding video file and frame index can be calculated by used frame_idx // 3500 to get the {starting_frame_idx} and frame_idx % 3500 to get the frame in that file. <br>
DOI: 10.6084/m9.figshare.17076446.v1
title: FilterSyn.fasta

description: 16S-18S Intertranscribed spacer (ITS) sequences for 19 clones of Synechococcus isolated off the coast of Woods Hole, MA, USA on July 27, 2021
DOI: 10.6084/m9.figshare.7215323.v1
title: Castelli Perovskites Data

description: 18,928 perovskites generated with ABX combinatorics, calculating gbllsc band gap and pbe structure, and also reporting absolute band edge positions and heat of formation. Available as Monty Encoder encoded JSON and CSV files. The recommended access method is through the matminer Python package using the datasets module.<br><br>Note on citations: If you found this dataset useful and would like to cite it in your work, please be sure to cite its original sources below rather than or in addition to this page.<br>Dataset is described in the following:<br>Ivano E. Castelli, David D. Landis, Kristian S. Thygesen, Søren Dahl, Ib Chorkendorff, Thomas F. Jaramillo and Karsten W. Jacobsen (2012) New cubic perovskites for one- and two-photon water splitting using the computational materials repository.<strong><i> </i></strong><i><strong>Energy Environ. Sci.</strong></i>, 2012,<strong>5</strong>, 9034-9043 https://doi.org/10.1039/C2EE22341D<br>
DOI: 10.6084/m9.figshare.13322450.v2
title: European LCZ map

description: A European Local Climate Zone map at a 100 m spatial resolution, derived from multiple earth observation datasets and expert LCZ class labels. There are 10 urban LCZ types, each associated with a set of relevant variables such that the map represent a valuable database of urban properties.
DOI: 10.6084/m9.figshare.1340020.v1
title: Rationale and Implementation of a Bimodal Fitting Formula

description: Introduction<br>The effectiveness of cochlear implants has increased markedly over the past years. As a consequence, candidacy for implantation has been relaxed and more CI users have functionally useful contralateral hearing. Such bimodal users often report improved speech understanding, particularly in noisy situations, better tonal quality and improved lateralization of sound sources. The individual bimodal benefit, however, varies considerably. A potential reason for this is that conventional hearing aid fitting does not account for certain specific characteristics of bimodal listening. Of particular importance are: low-frequency audibility, spectral overlap of electric and acoustic stimulation, loudness balance, inter-aural tonotopy and (dynamic) synchronization of adaptive signal processing. While many of these requisites are highly individual and thus, may have to be addressed by individual fine-tuning, others might be accounted for, at least partially, by a prescriptive fitting formula specifically designed for bimodal listeners. Method<br>In order to improve the efficiency of bimodal fitting, a bimodal fitting formula is being developed that aims at accounting for the specific characteristics of bimodal listening. This formula can use any established fitting formula (e.g. DSL v5, NAL-RP) as a starting point. In the current implementation, Phonak’s proprietary formula (Adaptive Phonak Digital) is used. The importance of low-frequency audibility is addressed by maximizing effective audibility [1] based on the individual audiogram. Edge frequencies of Dead Regions can be either entered manually or are estimated automatically from the audiogram. As a second step, the static and dynamic behavior of the CI’s AGC has been approximated with the hearing aid’s compression system to account for loudness balance and dynamic synchronization between electric and acoustic hearing. This is accomplished by a special parameterization of channel-coupling, time constants, compression knee-points and compression ratios in the hearing aid. Results<br>Compared to conventional hearing fitting aid formulae, the novel bimodal fitting formula typically results in decreased gain at high frequencies and increased gain at low frequencies. Technical measurements using percentile analysis show that the dynamic behavior of the CI’s AGC can be approximated with the HA’s AGC nicely for speech signals. First results from studies using the bimodal fitting formula indicate that this formula can improve speech understanding in noise and provides a good starting point for individual fine-tuning.
DOI: 10.6084/m9.figshare.21972278.v1
title: cpn60-Classifier v10.1 (Performance testing)

description: cpn60-Classifier v10.1 (For additional information and releases, visit HillLab on github) <br> This is the version of the RDP Classifier trained on 11,001 reference cpn60 sequences used for performance testing. Duplicate sequences were removed from the reference database using the <em>rm-dupseq</em> function of the RDP classifier since these can inflate results during classification performance testing. <br> (An updated release containing additional sequences has been made available since this original investigation) <br> The release contains <strong>training files</strong> (taxonomy table and FASTA formatted sequences) as well as the <strong>trained classifier </strong>for use with RDP Classifier. <br> <strong>RDPTools</strong> includes the classifier and can be installed with conda https://anaconda.org/bioconda/rdptools (Wang Q, Garrity GM, Tiedje JM, Cole JR. 2007. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol 73:5261–7). Quick start with the trained classifier Download cpn60-Classifier_v10_trained.tar.gz and unpack it. The resulting directory should include: bergeyTrainingTree.xml genus_wordConditionalProbList.txt logWordPrior.txt rRNAClassifier.properties wordConditionalProbIndexArr.txt A basic command to classify cpn60 sequences contained in a file called queries.fasta: <br> <code>java -jar /path/to/RDPTools/classifier.jar classify -c 0.9 -f allrank -t /path/to/cpn60-Classifier_v10_trained/rRNAClassifier.properties -o output.txt queries.fasta</code> <br> See the README here for more details on the RDP Classifier: https://github.com/rdpstaff/classifier To train the Classifier Download cpn60-Classifier_v10_training.tar.gz and unpack it. The resulting directory should include: refseqs_v10.fasta taxonomytable_v10.txt Other scripts needed (from https://github.com/GLBRC-TeamMicrobiome/python_scripts with minor edit to addFullLineage.py to fix error): addFullLineage-jh.py lineage2taxTrain.py (If you want to generate your own taxonomy file, see https://pypi.org/project/taxonomy-ranks/) <br> Make ready-to-train taxonomy: <br> <code>/path/to/lineage2taxTrain.py taxonomytable_v10.txt &gt; ready2train_taxonomy.txt</code> <br> Add lineages to fasta sequence definition lines: <br> <code>/path/to/addFullLineage-jh.py taxonomytable_v10.txt resets_v10.fasta &gt; ready2train_refseqs.fasta</code> <br> Now train: <br> <code>java -jar /path/to/RDPTools/classifier.jar train -o training_files -s read2train_refseqs.fasta -t ready2train_taxonomy.txt</code> <br> The resulting directory contains the trained classifier EXCEPT for one important thing, which is the rRNAClassifier.properties file, which you can add manually.
DOI: 10.6084/m9.figshare.27115870.v1
title: <b>MELAUDIS: The First Acoustic ITS Dataset in Urban Environment</b>

description: The MELAUDIS dataset consists of two sections: <b>1) </b><b>MELAUDIS_BG</b>: This section contains background noise recorded at various locations in Melbourne, capturing a broad range of environmental sounds such as car horns, people talking, walking, laughing, music from cars and stores, wind, rain, dogs barking, birds chirping, and more.<br><b>2) </b><b>MELAUDIS_Vehicles</b>: This section is organized into 20 folders representing different data collection points. It includes data on vehicles in various traffic conditions, such as those stuck in traffic or moving in free-flow, categorized into six vehicle types. Each sample is also labeled with the lane number in which the vehicle is moving.
DOI: 10.6084/m9.figshare.28531079.v4
title: <b>Potato Database</b>

description: Please contact the corresponding author by E-mailbinquanh@ynu.edu.cn
DOI: 10.6084/m9.figshare.29149949.v1
title: Datadir4: Starting MD structures

description: Starting 3D structures for molecular dynamic simulations (.pdb)
DOI: 10.6084/m9.figshare.24670038.v1
title: single-cell RNA-seq data with annotations (mouse with ulcerative colitis, 85,000 cells)

description: Ulcerative colitis, a prominent form of inflammatory bowel disease, is a complex disease caused by a dysregulated immune reaction against commensal microbes residing in the host. Despite considerable progress in comprehending host transcriptomics, gaps persist in our understanding of immune metabolic alterations specific to ulcerative colitis. Utilizing comprehensive single-cell RNA-seq and microbial analysis, we characterized distinct cell clusters in the mouse colon at different time points following dextran sodium sulfate induction. We observed a significant reduction in epithelial populations during acute colitis, indicating tissue damage, with a partial recovery observed in chronic inflammation. Analyses of cell-cell interactions demonstrated shifts in networking patterns among cell types during disease progression. Notably, macrophage phenotypes exhibited diversity, with a pronounced polarization towards the pro-inflammatory M1 phenotype in chronic condition, suggesting the role of macrophage heterogeneity in disease progression. Analysis of the intestinal microbiome revealed significant alterations in composition and metabolism pathways, particularly the nicotinamide pathway. Additionally, dysbiosis was linked to dysregulation of NAD homeostasis through NAMPT, providing insights into potential therapeutic strategies. The study also highlighted the role of T cell differentiation in the context of dysbiosis and its implications in colitis progression, emphasizing the need for targeted interventions to modulate the inflammatory response and immune balance in colitis.
DOI: 10.6084/m9.figshare.28852241.v1
title: TrajRL-TFF_Code&Data

description: Data and code for manuscript titled "TrajRL-TFF: A Trajectory Representation Learning Method Based on Time-Frequency Domain Feature Fusion".
DOI: 10.6084/m9.figshare.29093624.v1
title: AI Functional Domains: A Visual Overview of Applications

description: This infographic provides a structured overview of key applications of Artificial Intelligence (AI) across functional domains, including Natural Language Processing (NLP), Generative AI, Generative Adversarial Networks (GANs), Computer Vision, Automation, Robotics, and Data Visualisation. Each domain is linked to practical uses such as speech recognition, language translation, text/image generation, object detection, anomaly detection, physical automation, and dashboarding. Central to the diagram is the role of Machine Learning, Deep Learning, Data Analytics, and Pattern Recognition as enabling technologies. The diagram is intended for academic, municipal, and professional audiences seeking to understand or communicate AI’s multi-domain capabilities.
DOI: 10.17632/4c58n345h5
title: Mammal roadkill clusters, corridors, pathways and habitats

description: Mammalian habitats in Lithuania based on 2002–2017 roadkill cluster data. Habitats characterised with land cover, ecological corridors and mammalian pathway data.
DOI: 10.17632/wvwhv7kgn6
title: Raw data for figures of article "RIBOSOMAL PROTEIN DEFICIENCIES LINKED TO DIAMOND-BLACKFAN ANEMIA INDUCE DISTINCTIVE ALTERATIONS OF ATF4 EXPRESSION" published in iScience (2025)

description: This file includes all original western blots and raw qRT-PCR data used in the article published in iScience entitled: RIBOSOMAL PROTEIN DEFICIENCIES LINKED TO DIAMOND-BLACKFAN ANEMIA INDUCE DISTINCTIVE ALTERATIONS OF ATF4 EXPRESSION
DOI: 10.6084/m9.figshare.17148425.v4
title: Excel-Based SYNTAX Score Calculator: 100 cases

description: Excel-based SYNTAX score calculator for up to 100 casesThis SYNTAX score calculator is a Microsoft Excel-based tool designed for rapid data entry and automatic calculation. It summarizes various parameters, including scores for individual coronary lesions. Its accuracy has been validated in a cohort from the FAME3 trial and published in <i>Catheterization and Cardiovascular Interventions</i>.<b>Key Features</b><b>Efficient Data Entry</b>: Streamlined for quick and easy input.<b>Automatic Calculations</b>: Instantly calculates and summarizes scores.<b>Validated Accuracy</b>: Proven accurate in clinical trials.<b>Enhanced Data Management</b><br>Our calculator doubles as a data management platform. If you have results exported as PDFs from conventional online calculators, consider migrating your data to this Excel-based platform for better organization and management.<br><b>How to Cite</b><br>When using our calculator, please cite the following article:<br><i>Clinical Validation of a Novel Simplified Offline Tool for SYNTAX Score Calculation</i><br><b>Note</b>: The tool supporting a smaller number of cases is more lightweight.<b>[Contact/Bug report]</b><br>Tatsunori Takahashi, MD<br>Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, US<br>tatsunori.takahashi@protonmail.com<br>ryutoku0221@gmail.com
DOI: 10.6084/m9.figshare.3526985.v1
title: Appendix A. A table listing: the herbivore abbreviations used in the article's figs. and tables, the morphospecies code from our database, and the scientific names (when available) of herbivores involved in the study.

description: A table listing: the herbivore abbreviations used in the article's figs. and tables, the morphospecies code from our database, and the scientific names (when available) of herbivores involved in the study.
DOI: 10.6084/m9.figshare.1632842
title: High-throughput analyses of hnRNP H1 dissects its multi-functional aspect

description: hnRNPs are polyvalent RNA binding proteins that have been implicated in a range of regulatory roles including splicing, mRNA decay, translation, and miRNA metabolism. A variety of genome wide studies have taken advantage of methods like CLIP and RIP to identify the targets and binding sites of RNA binding proteins. However, due to the complex nature of RNA-binding proteins, these studies are incomplete without assays that characterize the impact of RBP binding on mRNA target expression. Here we used a suite of high-throughput approaches (RIP-Seq, iCLIP, RNA-Seq and shotgun proteomics) to provide a comprehensive view of hnRNP H1s ensemble of targets and its role in splicing, mRNA decay, and translation. The combination of RIP-Seq and iCLIP allowed us to identify a set of 1,086 high confidence target transcripts. Binding site motif analysis of these targets suggests the TGGG tetramer as a prevalent component of hnRNP H1 binding motif, with particular enrichment around intronic hnRNP H1 sites. Our analysis of the target transcripts and binding sites indicates that hnRNP H1s involvement in splicing is 2-fold: it directly affects a substantial number of splicing events, but also regulates the expression of major components of the splicing machinery and other RBPs with known roles in splicing regulation. The identified mRNA targets displayed function enrichment in MAPK signaling and ubiquitin mediated proteolysis, which might be main routes by which hnRNP H1 promotes tumorigenesis.
DOI: 10.6084/m9.figshare.24303109.v1
title: Chromosome-scale genome assembly of <i>Lepus oiostolus</i> (<i>Lepus</i>, Leporidae) (<i>天兔座</i>，Leporidae）

description: <i>Lepus oiostolus</i> (<i>L. oiostolus</i>) is a species endemic to the Qinghai-Tibet Plateau. However, the absence of a reference genome limits genetic studies. Here, we report a high-quality <i>L. oiostolus</i> genome assembly, with scaffolds anchored to 24 chromosomes and a total assembled length of 2.80 Gb (contig N50 = 64.25 Mb). We found that transposable elements account for 49.84% of the genome, a total of 22,295 predicted protein-coding genes. Long interspersed nuclear elements (LINEs) constitute a high proportion of the genome. This study will provide a valuable genomic resource for future research on the evolution of the Leporidae.
DOI: 10.17632/wnwzg2m79f
title: Data set reset Slipway

description: The present study investigates the structural and hydrodynamic responses of a fishing vessel launched via a 4° inclined slipway using three-dimensional numerical simulations. Emphasis is placed on capturing transient phenomena during the sliding and water-entry phases, including hydrodynamic pressure distribution, frictional resistance evolution, and launching velocity characteristics. The numerical model was developed using a volume of fluid (VOF) approach coupled with dynamic mesh motion to replicate real launching dynamics. Results show that the vessel experienced a peak hydrodynamic pressure of 141,872.5 Pa at initial water impact, concentrated along the keel and bow regions, which corresponds to the moment of maximum fluid-structure interaction. Pressure distribution was found to be non-uniform and transient, characterized by spatial gradients and wave-induced oscillations along the hull. Furthermore, the peak total resistance force recorded during sliding was 13,553.5 N, revealing a nonlinear force evolution influenced by contact friction, gravitational acceleration, and local slipway geometry. At the end of the launching trajectory, the vessel attained a velocity of 8 m/s, placing it within a high-energy regime with significant implications for impact-induced stress. These findings reinforce the necessity of integrating hydrodynamic behavior, resistance mechanics, and launch velocity predictions into the design of slipway systems to ensure structural integrity and operational safety. The validated simulation framework provides a critical foundation for optimizing traditional slipway design under Southeast Asian maritime conditions.
DOI: 10.6084/m9.figshare.14748540.v1
title: Landsat 5 TM NDVI, ppt and tavg.xlsx and Landsat 7 ETM+ NDVI, ppt and tavg.xlsx

description: Landsat satellite images at each site were used to assess fire disturbance, post-fire vegetation recovery and climate sensitivity analysis. The Landsat-5 Thematic Mapper (TM) sensor (from 1987 to 2011) and Landsat-7 Enhanced Thematic Mapper Plus (ETM+) sensor (from 1999 to 2017), deriving the Normalized Difference Vegetation Index (NDVI) (every 16 days at 30 m spatial resolution), were used. In the Excel files, monthly maximum of Landsat-derived NDVI at each study site was provided. In addition, we provide monthly average air temperature (tavg) and precipitation (ppt) data time series of each site in the Excel files, which were extracted from a gridded climate product (TerraClimate).
DOI: 10.6084/m9.figshare.19235598.v1
title: Combined salinity waterlogging data for meta-analysis.xlsx

description: Plant response to salinity and waterlogging stress combination<br>
DOI: 10.17632/3426b5mt3t
title: Public Perceptions on COVID-19: The Spiral of Silence Logic among Facebook Users in Armenia

description: The data was collected in frames of an online survey conducted on the Facebook platform, using Google forms, in the period of June 1 - June 20, 2020. The data confirms three elements of the SoS as applied to the communicative behavior of Facebook users in Armenia. First, we identified a gap between the majority’s opinion about state policies and requirements to public conduct in the pandemic and their actual mass behavior. The majority prefers not to contradict the state policies and requirements in public discussions (on Facebook), as well as report their loyalty to the officially stated rules as well as appropriate behavior while being surveyed. On the other hand, the inappropriate public behavior and massive violations of the lockdown rules are considered to be the main cause of the spread of the virus in Armenia according to the state bodies responsible for tackling the pandemic. According to the SoS logic, people in their majority are well informed about requirements to public conduct in the pandemic but don’t follow the rules, and being aware of sanctions, they hide their real opinion and either prefer to openly agree with the official position, or break the rules silently (keep silence). Second, there is a strong correlation between perceptions of the users regarding the opinion environment among their Facebook ‘friends’, and their preference for posting on their opinion, as well as commenting on others’ posts. If the communicative environment is perceived as rather contradictory to the user’s opinion and in a lesser sense as diverse, the essential part of the users surveyed prefer not to post and not to comment on others’ opinion. Female users of Facebook in Armenia are more active commenters than men, but their activity is mostly limited by the circle of familiar people whose opinion is more predictable in advance, and not threatening to their personal reputation, compared to that of the strangers.
DOI: 10.17632/hwvz4kv232
title: Repeat Buyer E-commerce Dataset

description: This e-commerce dataset is used to do experiment about repeat buyer classification. The dataset is taken from e-commerce environment in Indonesia, supported by a digital transformation services company in Indonesia.
DOI: 10.6084/m9.figshare.28388108.v1
title: Original images and data file for: "Drug delivery agent that acts as a drug for synergistic activity"

description: From abstract of paper: Oligomeric delivery agent selectively targets the expanded DNA and RNA repeat sequences (d(CTG)<sup>exp</sup> and r(CUG)<sup>exp</sup>) that cause myotonic dystrophy type 1 (DM1). By forming polyplexes with a locked nucleic acid CAG16 gapmer, that targets r(CUG)<sup>exp</sup>, the polyplex facilitates cellular uptake of the LNA in HeLa cells, DM1 patient myoblasts, and the skeletal muscle of DM1 mice leading to phenotypic improvements in the in vitro DM1 models. Although the in vivo results are mixed, the overall results suggest the potential of a new strategy where both drug and delivery agent actively target a disease pathology.