cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29033291.v1
title: Unit cell CIF data for the R-CRYSTALS10

description: CIF data for unit cells in R-CRYSTALS10 dataset including Ag, Au, CH_3NH_3PbI_3, Fe_2O_3, MoS_2, PbS, SnO_2, SrTiO_3, TiO_2, ZnOhttps://github.com/KurbanIntelligenceLab/R-CRYSTALS
DOI: 10.6084/m9.figshare.11771295.v2
title: J2 stage transcriptome assembly of Meloidogyne enterolobii (INRA/JKI)

description: Transcriptome assembly of second stage pre-parasitic juveniles of M. entereolobii. From the raw illulmina reads, adapters and low quality regions (Phred score &lt;30) as well as regions that contained 2 or more consecutive ambiguous nucleotides were cropped using prinseq resulting in 54,424,802 cleaned paired-end reads for. The clean reads were assembled using CLC Genomics Workbench 9.0 (https://www.qiagenbioinformatics.com/) with automatic bubble size and word size estimation, in simple contig mode, and minimum contig length of 200.
DOI: 10.6084/m9.figshare.5375428.v1
title: Golden-Gate compatible Magnaporthe oryzae protoplast transformation vectors

description: The Golden Gate cloning system uses standardised parts to facilitate the assembly of multiple transcriptional units, to ensure that future work with these genes can be carried out with ease (Patron et al., 2015 New Phytologist, v. 208, p. 13-19).<br>Three fungal transformation vectors have been adapted from the pCB1532 vector series (Sweigard et al., 1997. Fungal Genetics Newsletter 44: 52-53). Vector pCB1532B-RFP Addgene #101854 encodes bialaphos/basta/L-phosphinothricin resistance, pCB1532H-RFP #101855 hygromycin resistance and pCB1532S-RFP #101856 sulfonylurea/chlorimuron ethyl resistance. <br>Vectors were domesticated through removal of BsaI cloning sites. An RFP-marker was inserted. The RFP is expressed in E. coli, allowing for red-white selection of transformants. The marker is lost during the Golden Gate reaction, as it is replaced by the inserted transcriptional units. Vectors, sequence information and plasmid maps are available from Addgene https://www.addgene.org/plasmids/articles/28191792/ <br>
DOI: 10.6084/m9.figshare.8966273.v2
title: Ushant AIS dataset

description: This dataset corresponds to 6 months of AIS data of vessels steaming in the area of the Ushant traffic separation scheme (in Brittany, West of France). This is an area with one of the highest traffic density in the world, with a clear separation scheme with two navigation lanes. Different kinds of vessels are present in the area, from cargos and tankers with high velocity and straight routes to sailing boats or fishing vessels with low speed and different sailing directions. As such, the area is highly monitored to avoid collision or grounding, and a better analysis and understanding of the different ship behaviors is of prime importance.<br>The whole trajectory data set consists in 18,603 trajectories, gathering overall more than 7 millions GPS observations. Only trajectories having more than 30 points were kept, time lag between two consecutive observations ranges between 5 seconds and 15 hours, with 95% of time lags below 3 minutes.<br>Authors would like to thank CLS (Collecte Localisation Satellites) and Erwan Guegueniat for providing the raw data that allowed building this dataset.This work has been supported by DGA through the ANR/Astrid SESAME project (ref: ANR-16-ASTR-0026).
DOI: 10.17632/gc4d9h4x67
title: Bifidobacteria-mediated immune system imprinting early in life

description: Immune cell, protein and gut microbiome (metagenomic data) from newborn children as well as fecal cytokine and 16S rRNA-data from children given B. infantis EVC001 (Evolve Biosystems Inc) supplementation. Also, matrices containing molecule counts for proteins and mRNA for each cell stemming from BD Rhapsody experiments.
DOI: 10.6084/m9.figshare.12000666.v2
title: Decoy Receptor 3 as a Biomarker for Diagnosis of Bacterial Sepsis

description: <b>Subjects and Methods</b>: The present study included 30 patients and 15 healthy controls, systemic inflammatory response syndrome (SIRS) group. Serum DcR3 level was measured by quantitative<b> </b>enzyme-linked immunosorbent assay (ELISA), sepsis was identified by positive blood culture results, SIRS group were identified by negative blood culture or negative 16S ribosomal DNA (rDNA) polymerase chain reaction (PCR) results. Receiver operating curve (ROC) analysis was performed for DcR3 and C reactive protein (CRP) alone and in combination. <b>Results</b>: The serum DcR3 level was significantly higher in sepsis patients than SIRS patients and healthy controls (5.21 ± 2.28 ng/mL, 1.96 ± 0.90 ng/mL, and 0.95 ± 0.79 ng/mL, respectively, <i>p</i> &lt; 0.001). The ROC area under the curve (AUC) of DcR3 for sepsis vs. SIRS was 0.920 at a cutoff of 2.4 ng/mL, with a sensitivity and specificity of 93.33% and 86.67%, respectively. The AUC of combined positive DcR3 and positive CRP for sepsis vs. SIRS was 0.967 with a sensitivity and specificity of 93.33% and 100%, respectively. <b>Conclusion</b>: Our study showed that DcR3, alone or in combination with other biomarkers, is promising for distinguishing sepsis from SIRS patients.
DOI: 10.6084/m9.figshare.22152074.v2
title: Level2_peptide_data_normalized_unscaled

description: Level 2 data obtained by normalizing Level 1 peptide data within and across sets
DOI: 10.6084/m9.figshare.23849370.v3
title: TCGA survival genomic data and pathway information

description: TCGA survival genomic data (LUAD, KIRP and HNSCC) and pathway information (GO-CC, KEGG).
DOI: 10.6084/m9.figshare.24917670.v1
title: RAGE-learning ABM extension - model outputs corresponding to ECOMOD publication

description: This data repository pertains to outputs of an agent-based model as described and analyzed in the following publication:Apetrei, C. I., Strelkovskii, N., Khabarov, N., & Javalera Rincón, V. (2024). Improving the representation of smallholder farmers’ adaptive behaviour in agent-based models: Learning-by-doing and social learning. Ecological Modelling, 489, 110609, https://doi.org/10.1016/j.ecolmodel.2023.110609.The data has been generated with the extended agent-based model RAGE-learning, which is available at ComSES (see below).Full citation of the source model of this data:Cristina I. Apetrei, Nikita Strelkovskii, Nikolay Khabarov, Valeria Javalera Rincón (2023, July 22). “Learning Extension - RAGE RAngeland Grazing Model” (Version 1.0.0). <i>CoMSES Computational Model Library</i>. Retrieved from: https://www.comses.net/codebases/e103feef-2785-41e6-affb-8306c979e83c/releases/1.0.0/<br>---------------------This work was performed as part of the YSSP 2021 program at IIASA - the International Institute for Applied Systems Analysis, Laxenburg, AT.
DOI: 10.6084/m9.figshare.5554513.v1
title: Experiment CLA-SubjectC-151223-3States

description: Experiment in which subject performed 3 imageries of left and right hand motion and a passive state.
DOI: 10.17632/ytpycsd6ww
title: Bilayers of graphenylenes and octafunctionalized-biphenylenes

description: Using Greenwood (a Clojure library), DFTB+, and R these files can completely reproduce input files, gather the results, and perform our analysis on bilayers of graphene, graphenylene, net-C, Type-2, and net-W. The DFTB+ input files are easily recreated, but running the calculations take considerable time to run. Thus, the intermediate results and post-processing results of the calculations are also provided.
DOI: 10.48420/21758444.v3
title: Quantitative phase analysis of powder X-ray diffraction patterns of Ti3C2Tz MXene synthesis products

description: Rietveld refinement was performed on powder diffraction patterns of a triphasic system, where one phase constitutes an internal standard, to be able to quantify the proportion of product (Ti<sub>3</sub>C<sub>2</sub> MXene) and reactant (Ti<sub>3</sub>AlC<sub>2</sub> MAX phase) present after a synthesis trial. Synthesis trial parameters are determined in a Design of Experiments (DoE) screening design.<br>See file 2022-12-06-Quantitative-Phase-Analysis-QPA-of-MXene-synthesis-product-PXRD-patterns.pdf for full dataset details.
DOI: 10.6084/m9.figshare.14983857.v2
title: Table S2 - Ecological Modeling Results

description: Table displaying the contribution of assembly processes towards assembly in individual wells and different well groupings.
DOI: 10.6084/m9.figshare.21762584.v1
title: Count matrix and meta-data table [Hypertension T cells, icell8]

description: Adaptive immune response mediated by T cells plays a vital role in the initiation and maintenance of blood pressure (BP). Memory T cells, antigen-specific T cells, could response specific towards repeated hypertensive stimuli. Though the roles of memory T cells in animal models are well studied, the maintainance and functions of them in hypertensive patients are poorly understood. Here, we focused on the circulating memory T cells of hypertensive patients. By using single cell RNA sequencing technology, subsets of memory T cells were identified. DEGs and functional pathways were explored for the related biological function in each memory T populations. Our data suggest CD8 TEMs as well as the marker genes could be preventive targets for patients with hypertensive cardiovascular disease. <br> Dataset description: This dataset covers five hypertension samples (H1-H5) and five normal samples (N1-N5). It contains two files: 1. scmatrix.tsv.gz: count matrix of all cells. 2. scmetadata10.txt.gz: Meta-data annotation of each cell. <br>
DOI: 10.6084/m9.figshare.22241278.v1
title: Supplementary Material for: Oncostatin M and nivolumab affect the cytotoxic T cell proportions and the susceptibility to TRAIL-induced death in non-leukocyte cell subpopulations in soft tissue sarcomas

description: Introduction: Soft tissue sarcomas (STSs) are malignant tumors arising from mesenchymal tissues. Patients with advanced and metastatic STSs have low overall survival rates and relatively limited treatment options. Oncostatin M (OSM) is a pleiotropic cytokine that was shown to carry both pro- and anti-tumorigenic properties in various cancer types. However, the role of OSM in STSs has not yet been elucidated. Moreover, the potential additive effects of combining OSM and anti-PD-1 therapy have not been carried out so far. Methods: The aim of this study was to determine the effects of in vitro OSM administration on liposarcoma, leiomyosarcoma, and myxofibrosarcoma immune cells isolated from peripheral blood and tumor tissues and the potential cooperative nature of OSM and nivolumab in treating these STSs. We designed a cohort study to explore novel histology-driven therapies in our target STSs. The immune cells were isolated from the peripheral blood and tumors of patients with STS and the proportions and phenotypes of immune cells were evaluated with flow cytometry after cultivation with therapeutic monoclonal antibodies. Results: The proportion of peripheral CD45+ cells was not affected by OSM but was significantly increased by nivolumab, whereas both treatments had an effect on CD8+ T cells. In tumor tissues, CD8+ T cell and CD45- TRAIL+ cell cultures were boosted by nivolumab and significantly enriched by OSM. Our data suggest that OSM may play a role in the treatment of leiomyosarcoma, myxofibrosarcoma, and liposarcoma. Conclusion: In conclusion, the biological efficacy of OSM is reflected in the tumor microenvironment rather than in the peripheral blood of the patients in our cohort, and nivolumab could potentiate its mechanism of action in selected cases. Nevertheless, more histotype-tailored studies are needed to fully understand the functions of OSM in STSs.
DOI: 10.6084/m9.figshare.26069647.v3
title: Word-Level Bangla Sign Language Video Dataset

description: This dataset includes 51 unique sign gestures for Bangla Sign Language words. The signs were performed by two signers. Each signer performed all the signs ten times, making the total number of videos in this dataset 1020 (51*2*10 videos).In the dataset folder, there are two folders titled "MahidulDataset" and "ShahidulDataset". Each folder contains signs from a particular signer. Each folder has 51 sub-folders, and each sub-folder has 10 signs. The subfolders are named "_<i>&lt;</i>sign_label&gt;", for example, "Shahidul_008". The association of sign labels to sign words is shown in the "sign_labels.xlsx" file.
DOI: 10.6084/m9.figshare.12640370.v1
title: Raw_data_Amino_acids_biogenic_amines

description: Dataset of biomolecules.
DOI: 10.6084/m9.figshare.1272790.v1
title: Spatial and climatic data

description: For the climatic characterization of the sites, we first calculated the values for the 19 BIOCLIM variables using the ‘biovars’ method of the R package dismo 0.9-1.
DOI: 10.17632/ftn4rjnd6x
title: MPU6050 Gyroscope Data for Posture Tracking and Analysis

description: Description
This dataset contains gyroscopic angle measurements collected using the MPU6050 sensor, a 6-axis motion tracking device that integrates a 3-axis gyroscope and a 3-axis accelerometer. The data was gathered for real-time posture monitoring and analysis, enabling applications in posture correction, physiotherapy, and ergonomic assessments. The dataset can be used to train machine learning models, including LSTMs, for real-time posture tracking and classification.

Data Collection
The MPU6050 sensor was attached to the upper body to measure posture changes. The sensor streamed real-time data wirelessly using the Phyphox application. The dataset consists of angular orientation values derived from the integration of gyroscope readings, which track movement in three axes (X, Y, Z) over time.

Dataset Features
Timestamp: Time of measurement.
Angle_X (°): Tilt along the X-axis (forward-backward).
Angle_Y (°): Tilt along the Y-axis (side-to-side).
Angle_Z (°): Rotation along the Z-axis.
These angles represent posture orientation and can be used for human movement analysis, rehabilitation, and workplace ergonomics.

Potential Applications
Posture Correction: Identifies poor posture and provides feedback.
Ergonomics & Injury Prevention: Helps design safer workspaces.
Rehabilitation & Physiotherapy: Tracks post-injury recovery.
Sports Biomechanics: Assists athletes in maintaining proper form.
Machine Learning for Posture Analysis: Ideal for LSTM models to predict postural changes.
Use Cases & Future Work
This dataset can support real-time posture tracking solutions, AI-based posture correction systems, and wearable health applications. It can also be combined with accelerometer data for improved accuracy.

This dataset is a valuable resource for computer vision, AI-driven health monitoring, and biomechanics research.
DOI: 10.17632/m87ysvf8g5
title: Anexos Trabajo Fin de Máster

description: Descripción del Programa Atrévete, destinado a la prevención del consumo de drogas del alumnado de 5º y 6º de Educación Primaria, a través de la intervención familiar.
DOI: 10.6084/m9.figshare.26742214.v1
title: Pfam_alignments

description: Folder containing all Pfam alignments in fasta format.
DOI: 10.6084/m9.figshare.28831010.v2
title: Integrated Immune Cell Atlas

description: This dataset represents the integrated immune cell atlas analyzed in the scHDeepInsight study. It contains over 460,000 immune cells collected from publicly available datasets generated using multiple sequencing platforms, including various versions of the 10x Genomics platform and Smart-seq. Batch effects across datasets were corrected using STACAS, resulting in a harmonized reference comprising 15 major immune cell types and 50 annotated subtypes. This reference provides a standardized framework for immune cell annotation and downstream analyses across heterogeneous single-cell datasets.
DOI: 10.6084/m9.figshare.28862207.v1
title: social-and-emotional-learning-for-students-with-learning-disabilities-on-individualized-learning-plans (1).docx

description: The education system supports students with learning disabilities through Individualized Education Programs (IEPs), which primarily address their unique academic needs. While the tailored attention to students’ individual academic needs mark significant progress towards a fair and equitable education, the conventional student IEPs and 504 plans do not typically address the social and emotional needs of students with learning disabilities (Elias, 2004). This teacher action research explores how a focused incorporation of SEL support into students’ IEPs affects students’ outlook towards schooling Key findings suggest that, although previous research has explored the connection between learning disabilities and social and emotional learning (SEL), IEPs provide accommodations for academic needs but often overlook students' social and emotional challenges, which can influence their ability to achieve those academic goals (Cavioni et al., 2017). To date, there is currently no system that integrates SEL into student IEPs.
DOI: 10.17632/4vgp54rdyp
title: RunCTAblocking-Data

description: The intake and running data of all experiments reported in the paper authored by Nakajima, Hasegawa, Nakao, Tanaka, Abe, and Li.
DOI: 10.17632/n8pxptkmfj
title: Data for: Do 'Watching Eyes' Influence Antisocial Behaviour? A Systematic Review & Meta-Analysis

description: Data supporting meta-analysis and systematic review of the 'Watching Eyes' effect on anti-social behaviour, accepted for publication in Evolution & Human Behaviour. The paper systematically reviews the eye cue literature noting failed replication attempts, and two meta-analyses which raise doubts about the reproducibility of the watching eyes effect on generosity. However, it also highlights that much of the wider evidence on eye cues has still not been systematically reviewed, notably that which is most relevant to its practical application: the effect of eye cues on antisocial behaviour. Given the evidence of humans' heightened sensitivity to threat and negative information, it is hypothesized that the watching eyes effect would be more consistent on antisocial behaviour. In a meta-analysis of 15 experiments from 13 research papers we find a reduction in the risk of antisocial behaviour of 35% when eye cues are present. By contrast, reviews suggest that CCTV cameras reduce crime by only 16%. Our meta-analytic evidence for a watching eyes effect on antisocial behaviour is sufficient to justify the use of eye cues in the very low-cost and potentially high-impact real-world interventions that are proliferating in public policy, particularly in the UK.
DOI: 10.6084/m9.figshare.10006625.v3
title: Genetic interactions derived from high-throughput phenotyping of 7,350 yeast cell cycle mutants

description: This dataset is derived from high-throughput phenotyping of over 7,000 yeast cell cycle mutants on six different media types. Multiple independent biological replicates (average of 12) were created for every possible double mutant combination of 36 cell cycle genes. Those mutants were phenotyped by measuring growth rates over time on six different media types.
DOI: 10.6084/m9.figshare.13655822.v1
title: Dataset used to investigate healthcare workers' pursuit of happiness in Kenya RNDKM.xlsx

description: This data was collected among healthcare workers (n=553) in public and private-not-for-profit (mission/faith-based) hospitals in Meru County, Kenya.The dataset includes some demographic and work-related variables from variable 1 to 25 and, the results from the Orientations to happiness (OTH) questionnaire (Var 26-43) reference: Reference: Peterson, C.; Park, N.; Seligman, M. Orientations to happiness and life satisfaction: the full life versus the empty life. Journal of Happiness Studies 2005, 6, 25-41, doi:http://dx.doi.org/10.1007/s10902-004-1278-zThe healthcare workers' overall happiness scores were calculated based on the responses from Var 26-43, which are presented in Var 44.Below the dataset on the same data spreadsheet, are variable definitions. It includes the variable label e.g., Var 1, Var 2 etc; the variable definitions and coding descriptions.<br>Ethical approval to collect this data was sought from:1. The University of Pretoria, Faculty of Health Sciences Research Ethical Committee, South Africa (Reference number: <i>718/2019</i>).2. The United States International University-Africa, Institutional Review Board (IRB), Kenya (Reference number: <i>USIU-A/IRB/130-2020</i>).3. The National Commission for Science, Technology, and Innovation (NACOSTI), Kenya (Research licence number: <i>901924</i>). <br>
DOI: 10.6084/m9.figshare.21810147.v1
title: 1 million hypothetical MOFs

description: This project includes CIF files of about 1 million hypothetical MOFs (exactly 1,118,074 structures) generated by PORMAKE, which were used for pre-training MOFTransformer. The details of generating MOFs and optimization with UFF forcefield are summarized in the maunscript of MOFTransformer. <br> An example of file format: puc+N131+E128.cif The first token (e.g., pcu) means topology and other tokens mean names of building blocks, which can be identified in supporting information of the PORMAKE paper [computational screening of trillions of metal-organic frameworks for high-performance methane storage])
DOI: 10.17608/k6.auckland.2001207.v3
title: WIPNZ2007: World Internet Project New Zealand Benchmark Survey

description: Since 2007, the Institute of Culture, Discourse, and Communication (ICDC) at AUT University, has been conducting a long-term survey to track trends in Internet use, and to document the role and impact of the Internet in New Zealand society. The Internet has changed how business and trade deals are made; how schools and other academic institutions, councils, media, and advertisers operate. The Internet also impacts on family interaction, the ways in which people form new friendships, and the communities to which people belong.The World Internet Project New Zealand is an extensive research project that aims to provide important information about the social, cultural, political, and economic influence of the Internet and related digital technologies. As part of the World Internet Project International, a collaborative research effort, WIP NZ enables valid and rigorous comparison between New Zealand and 30 other countries around the world. Each partner country in WIP shares a set of 30 common questions.ICDC's longitudinal survey includes a cross-section of participants aged 12 and up, from across New Zealand. A quota ensures that people of Māori, Pasifika, and Asian descent, and the range of age groups, are not underrepresented. The survey investigates Internet access and targets Internet users as well as non-users; it looks at who uses this technology and what they do online. It also considers offline activities such as how much time is spent with friends and family. Other questions address issues such as the effects of the Internet on language use and cultural development; the role of the Internet in accessing information or purchasing products; and how the Internet affects the educational and social development of New Zealand children. In addition to studying the impact of the Internet, the survey tracks the effectiveness of strategies to address issues such as the digital divide between rich and poor, or urban and rural.<br>