cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/srcp6sk63z
title: Supplementary Figure 1, Materials, and Appendix

description: This is supplementary Figure 1, Materials, and Appendix for manuscript titled "A Systematic Review of Neutrophilic Alopecias of the Scalp in the Pediatric Population"
DOI: 10.6084/m9.figshare.19501345.v2
title: Raw data in a study of immunotherapy

description: It is raw data including clinical characteristics and irAEs in a study of immunotherapy.
DOI: 10.6084/m9.figshare.24495682.v1
title: Mind Upload 3 Syntax and Data

description: Data and Syntax for Mind Upload 3 paper.This is aggregate anonymized data from a larger data-set which is still being used to produce further manuscripts. Therefore, it is not shared in full capacity.Variable names should be self-explanatory.
DOI: 10.6084/m9.figshare.29114567.v1
title: <b>Insights from Various Trajectory Formats and Response Strategies for Transportation Mode Detection</b>

description: The effectiveness of large language models (LLMs) in transportation mode detection remains underexplored, creating a significant research gap in understanding how these models process trajectory data. This study uses the Geolife dataset to investigate the ability of pre-trained and fine-tuned LLMs to detect transportation modes across 14 trajectory formats, categorized into overview information, coordinate-based, and spatial encoding. Meanwhile , two response strategies are compared: direct answer and Chain-of-Thought (CoT) reasoning. The results show that fine-tuning significantly enhances the classification performance for all trajectory formats. Among the evaluated formats, the coordinate-based format with timestamps achieves the highest accuracy of 85.2% after fine-tuning using the direct answer strategy. The direct answer strategy proves to be more effective than the CoT strategy, reaching an average 49.0% improvement in accuracy via fine-tuning. Additionally, the model exhibits systematic misclassification patterns, reflecting challenges in distinguishing between transportation modes with similar movement characteristics. Furthermore, our analysis reveals that hallucinations are prevalent in CoT responses, particularly of the types of input-conflicting hallucinations and factual inaccuracies, which increase the likelihood of misclassification. These findings highlight the potential of LLMs in transportation mode detection while emphasizing the need for enhanced trajectory formats, improved response strategies, and strategies to mitigate hallucinations.
DOI: 10.17632/brgxgtpz92
title: CNN training of experimental images for "Detection and tracking of barchan dunes using Artificial Intelligence"

description: This is part of the dataset concerning the YOLO training of experimental images (Barchan dunes). In this dataset, you find the "YOLOv8 train" folder that contains the structure and images observed during lab experiments to train a CNN with images of barchan dunes, the "Train Results" folder that contains the figures and weights of YOLO detection of barchan dunes, the "Detection results" that contains some barchan dune detection and movies, and the "Code Files" that contains the scripts to detect barchan dunes, plot the morphology, train a YOLOv8, convert masks to polygons and plot resulting YOLO parameters.
Some images are from Assis, W.R. and Franklin, E.M., Geophysical Research Letters, 47, e2020GL089464, 2020.
DOI: 10.17632/xstpzysxkn
title: DISEÑO DE ESTRATEGIA DE COMUNICACIÓN PARA EL FORTALECIMIENTO DE LOS CANALES DE COMUNICACIÓN EXTERNOS DE LA EMPRESA QUALITA CORP SAS

description: Trabajo para optar el titulo de grado de comunicación social
DOI: 10.6084/m9.figshare.21608463.v1
title: Supplementary Table 2: RT-qPCR primer sequences for the targeted mouse genes. Item

description: RT-qPCR primer sequences for the targeted mouse genes.
DOI: 10.6084/m9.figshare.17097035.v3
title: Entodon and Hypnum genome project

description: Annotation of Entodon and Hypnum genomes
DOI: 10.6084/m9.figshare.20501875.v1
title: Additional file 1 of Single-cell genomic and transcriptomic landscapes of primary and metastatic colorectal cancer tumors

description: Additional file 1: Table S1. Basic information of sample cohort. N, adjacent normal tissue. PT, primary tumor. LyM, lymph node metastasis. LM, liver metastasis. OM, omentummetastasis. LN, adjacent normal tissue collected from liver. Table S2. DEGs between normal epithelial cells and tumor epithelial cells. Related to Fig. 3A Table S3. Cell viability of organoids and DEGs between control and FH534-treated organoids. Related to Fig. 2. Table S4. Mitochondrial mutations of each patient. Only the sites where mutations were detected in at least two cells were listed in the table. WT, wild type. Undet, reads than least than 9X. Heter, heterozygous mutation. Homo, homozygous. T and N represent tumor and normal. Table S5. DEGs between OLFM4+SOX9- and OLFM4+SOX9+ tumor cells. Related to Fig. S10A. Table S6. Single-cell targeted cDNA Sanger sequencing result. The number inside the box represents the number of the cell barcode. Green, orange and red colors represent wild type, heterozygous mutant and homozygous mutant respectively. No color fill represents undetected. Table S7. DEGs between BRAFV600E and BRAF600WT tumor cells. Related to Fig. S10C-D. Table S8. DEGs between KRASWT and KRASmut tumor cells. Related to Fig. S10H-I. Table S9. Somatic mutations of samples. Table S10. Antibody information and sequences of primers.
DOI: 10.6084/m9.figshare.28182260.v2
title: Seaport integrated energy system

description: Parameters of seaport integrated energy system<br>
DOI: 10.6084/m9.figshare.28455389.v1
title: BD_MACHINE_LEARNING_PARKINSON.xlsx

description: Database Machine Learning Parkinson Disease
DOI: 10.6084/m9.figshare.29170892.v1
title: Characterizing Gravel Bed Structures Using Significance Testing of Second-Order Structure Functions

description: Gravel riverbeds play an important role in shaping how water flows and how sediment is transported in rivers. These beds often contain complex grain structures that influence bed roughness and flow turbulence. However, identifying and measuring these structures typically relies on expert judgment, making it difficult to compare results across different studies or sites. In this research, we developed a new, objective method to detect and describe grain structures on gravel riverbeds using a statistical approach. To determine whether observed patterns are meaningful or simply random, we generated artificial “random” gravel beds with a machine learning model. These synthetic surfaces serve as a control, allowing us to statistically test the significance of structural features. We applied this method to both laboratory-created and natural riverbeds and found that it successfully identifies key structural features such as grain alignment and clustering—without requiring manual interpretation. This approach offers a new way to better understand how grain structures form and function in riverbeds. In the future, this method could also be used to evaluate other surface features of riverbeds in a similarly objective and statistical manner.
DOI: 10.17632/p5mjkjfx42
title: Development of a multi-criteria decision tool for the plastics industry – A case study on post-consumer PP packaging material

description: Circular economy aims to retain valuable materials in the recycling loop and reduce losses. Packaging materials, owing to their short market lifetimes, dominate the waste stream, and feedstock for mechanical recycling remains a fluctuating geographical and seasonal factor.
This study presents a decision tree for a mechanical recycling process to transform a post-consumer polypropylene (PP) waste stream into a high-quality product. Initial manual analysis of a representative PP bale from a sorting plant revealed an 87.5% PP content, with 75% being white or transparent. The recycling process involved color-based sorting into three different color fractions (white, transparent, and colored), grinding, multiple washing steps, flake sorting, and granulation to produce six distinct fractions. This study highlights the importance of tracking material flow, generating process data, and linking it to environmental impacts. 
Using the Alpha Algorithm, a process network from feedstock to final pellets was developed to identify key decision points based on feedstock quality, color, and volatile organic compounds (VOC) contamination. These findings demonstrate that cleaning reduces contaminants and improves product quality. The developed tool aids in optimizing recycling processes with the aim of retaining valuable materials in primary recycling loops and minimizing downcycling.
DOI: 10.6084/m9.figshare.1290771.v3
title: CABI Mouse Brain Holder (6 brain)

description: This is a .STL file for 3D printing a mouse brain holder for use with high field strength preclinical MRI scanners. The holder is designed to be printed in plastic and will fit inside a 50ml syringe. Note when printing: the "this way up" arrow, as there are hinges / moving parts.<br> This design is used for securing up to 6 <em>ex vivo</em> perfuse-fixed mouse brains (in skull) within a 9.4T Agilent/Varian MRI scanner at the UCL Centre for Advanced Biomedical Imaging (CABI). We are making it freely available for use (please cite our DOI:10.6084/m9.figshare.1290771 if you do!)The "large" version is a higher-quality file.<br> <strong>See also</strong><br>* https://ucl.ac.uk/cabi/publications/open_source<br>* https://github.com/nmpowell/mousemorph<br>
DOI: 10.6084/m9.figshare.15000672.v1
title: contigs of taxus genome

description: contigs of taxus genome with annotation files
DOI: 10.6084/m9.figshare.19686954.v1
title: Labelled Hate Speech Detection Dataset.

description: This dataset contains 3000 labelled comments and posts scraped from the Reddit, Twitter and 4Chan social media websites in 2022. In this dataset, 2400 comments are labelled as non-hateful or '0', and 600 comments are labelled as hateful or '1', making an even 80/20 split. <br> This dataset's primary purpose is for the use in machine learning classifications of hateful speech in the online speher.
DOI: 10.6084/m9.figshare.23700369.v1
title: <strong>Source data and statistics</strong>

description: Statisitcs associated with all figures displayed and unprocessed western blots for Fig.1 and Fig.4
DOI: 10.6084/m9.figshare.28000850.v1
title: SC-PREC4SA metadata

description: A file (.csv) that provides information about each station used for the development of a serially complete daily precipitation dataset for South America (SC-PREC4SA).
DOI: 10.6084/m9.figshare.28281092.v1
title: 에르되시 - 스트라우스 추측.docx

description: 에르되시 스트라우스 추측​ 증명
DOI: 10.6084/m9.figshare.707337.v1
title: Dataset used in Defining Digital Libraries

description: This dataset is part of a research paper on the definition of digital libraries. <br>Even though we claim that this list provides an exhaustive coverage of works that contain definitions of digital library, we are aware that potentially there can be other definitions which could be appended.
DOI: 10.17632/76kvzd3wjf
title: 3D-printed electrospinning for Loratadine nanofibers - analytical results

description: Calculation of the average fibre diameter by SEM Plot of the drug dissolution results over time, with the standard deviation
DOI: 10.6084/m9.figshare.12301088.v1
title: (DATASET, CLEAN) Pathways in the Drug Development for Alzheimer’s Disease (1906-2016): A Bibliometric Study

description: ‘Full record and cited references’ data from Web of Science of all publications after the extensive cleaning procedure and used in the analyses. The publications are listed in the order of belonging to the fundamental-preclinical-clinical domain.
DOI: 10.6084/m9.figshare.24591522.v3
title: Intermediate soil acidification induces highest nitrous oxide emissions

description: Global potent greenhouse gas nitrous oxide (N<sub>2</sub>O) emissions from soil are accelerating, with increases in the proportion of reactive nitrogen emitted as N<sub>2</sub>O, i.e., N<sub>2</sub>O emission factor (EF). Yet, the primary controls and underlying mechanisms of EFs remain unresolved. Based on two independent but complementary global syntheses, and three field studies determining effects of acidity on N<sub>2</sub>O EFs and soil denitrifying microorganisms, we show that soil pH predominantly controls N<sub>2</sub>O EFs and emissions by affecting the denitrifier community composition. Analysis of 5,438 paired data points of N<sub>2</sub>O emission fluxes revealed a hump-shaped relationship between soil pH and EFs, with the highest EFs occurring in moderately acidic soils that favored N<sub>2</sub>O-producing over N<sub>2</sub>O-consuming microorganisms, and induced high N<sub>2</sub>O emissions. Our results illustrate that soil pH has a unimodal relationship with soil denitrifiers and EFs, and the net N<sub>2</sub>O emission depends on both the N<sub>2</sub>O/(N<sub>2</sub>O+N<sub>2</sub>) ratio and overall denitrification rate. These findings can inform strategies to predict and mitigate soil N<sub>2</sub>O emissions under future nitrogen input scenarios.
DOI: 10.6084/m9.figshare.27879706.v1
title: Phylogenetic Data Matrix of Martin-Silverstone et al. 2024 from The oldest monofenestratan pterosaur from the Queso Rallado locality (Cañadón Asfalto Formation, Toarcian) of Chubut province, Patagonia, Argentina

description: Martin-Silverstone et al., 2024 matrix.tnt
DOI: 10.6084/m9.figshare.9905693.v1
title: File S2 from Phylodynamics reveals extinction–recolonization dynamics underpin apparently endemic vampire bat rabies in Costa Rica

description: Beast xml file to conduct the discrete phylogeographic analysis of the international dataset
DOI: 10.17632/phn96mbtzr
title: Masterarbeit

description: Cyber attacks
DOI: 10.6084/m9.figshare.11353694.v1
title: Tian et al. JGR (2019)

description: This EXCEL dataset provides the data on two suites of volcanic rocks from the northern Qiangtang, Tibet
DOI: 10.6084/m9.figshare.14290097.v1
title: Food consumption, physical activity level and sedentary behavior in schoolchildren

description: Abstract Dietary intake inquiry, physical activity (PA) and sedentary behavior (SB) surveys are practical tools for identifying habits among the pediatric population; however, the results of describing these behaviors appear to be restricted to large centers. The objective was to analyze dietary intake, PA and SB level in schoolchildren. Children from 6 to 10 years old, coming from public and private schools were evaluated for anthropometry, dietary pattern, PA and SB level. A total of 1408 children (48.1% male) with a mean age of 8.05 (± 1.53) years participated in the study. Only 4.6%, 4.9% and 17.2% of children met the recommendations for fruit, milk and dairy products, respectively. 40.4% and 59.5% of the children did not meet the recommendation for soft drinks and meat consumption, respectively. More than 75% of children met the recommendation for the consumption of packaged snacks, candies and beans. There was a difference between genders only for candy consumption (p=0.003), with a higher proportion of boys meeting the recommendations. Approximately half and one third of the children complied with the recommendations for moderate to vigorous PA and SB, respectively. Risk behaviors for cardiovascular disease were observed in children, characterized by low consumption of fruits and vegetables, low levels of PA and excessive time in SB.
DOI: 10.6084/m9.figshare.27897405.v1
title: Bimodal distributions of anti-<i>Trypanosoma cruzi</i> antibody levels in blood donors are associated with parasite detection and antibody waning in peripheral blood.

description: This study confirms the bimodal distribution in the signal of different antibody serological assays for detecting T. cruzi infection, including highly sensitive assays. In this work, threshold values were established to distinguish between two populations (or groups) of subjects with this infection: one with high antibody levels, where parasitemia persists for many years, and another with low antibody levels, corresponding with the absence or low levels of parasitemia. These individuals showed they could control the infection, as low antibody levels result from low antigenic stimulation. Additionally, we observed that the decline in antibody levels is significantly more significant among donors with low antibody levels during follow-up
DOI: 10.6084/m9.figshare.28296215.v1
title: <b><i>S</i></b><b>upplementary data</b>

description: <b>The source data behind the graphs in the paper </b>(<i>Figure 6</i>)
DOI: 10.6084/m9.figshare.28683077.v1
title: Manuscript_Supplement.docx

description: Supplementary material
DOI: 10.6084/m9.figshare.12670934.v1
title: JVASP-44376 to JVASP-46265

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.21729152.v1
title: The changes in global water availability

description: The datasets provides supports for the ** research.
DOI: 10.6084/m9.figshare.23715279.v1
title: Supporting data for "Deciphering sources and processing of dissolved black carbon (DBC) in coastal seas"

description: These two datasets are supporting data for the manuscript "Deciphering sources and processing of dissolved black carbon (DBC) in coastal seas". Dataset 01 includes the concentration of DBC<sub>BPCA</sub> and the molecular composition of DBC<sub>FT</sub>. Dataset 02 includes the detailed molecular composition of DBC<sub>FT</sub> in each sample.
DOI: 10.6084/m9.figshare.28928120.v1
title: Spatial / Temporal mHVSR flat files for stations on the BGS network of seismometers

description: Flat files that show mHVSR curve data for seismometers in the BGS network.The spatial flat file has all data from 10/11/2024 at 01:00:00 to 02:00:00The temporal flat file has all data from once a week in 2024, from 01/01/2024 to 23/12/2024 at 00:00:00 to 01:00:00
DOI: 10.17632/cz6grt32vp
title: The influence of polymer matrix and its role in the detection of volatile organic compounds using Py-GC-MS and TG-DSC as solid state analysis techniques

description: The purpose of the study was to analyse and describe the synergy occurring between the biomass matrix and the polymer matrix during the thermal conversion of solid biofuel samples. The object of the study was wood biomass and a model sample containing PP, PE, LDPE, ABS, PET (transparent and coloured), PMMA, PA6, PS, PVC, PC, and POM, among others. The scope of the research conducted was Py-GC-MS analytical pyrolysis and TG-DSC analysis.

Sample descriptions include: 

No# - sample number where:
41- polymer mixture
42- 0.1% of sample 41 in sample 49
43 - 0.5% of sample 41 in sample 49
44 - 1% of sample 41 in sample 49
45 - 2.5% of sample 41 in sample 49
46 - 5% of sample 41 in sample 49
47 - 7.5% of sample 41 in sample 49
48 - 10% of sample 41 in sample 49
49 - biomass
600 - temperature of conducting pyrolysis 
50 - split

File:
.txt - TG-DSC
.qgd - Py-GC-MS
DOI: 10.17632/fs4wm9hfxd
title: Simulated Credit Default data

description: The dataset consists on 100k records simulating the good (GB=0) or bad (GB=1) credit behavior of personal loans based on explanatory variables such as the account balance, payment history, loan purpose, other available assets, credit duration, debtor's age, home type and others.
DOI: 10.17632/h722rhn4t7
title: Delhi_Air_quality

description: The Delhi air pollution dataset comprises hourly measurements of eight critical air quality parameters recorded between November 2020 and January 2023. This comprehensive dataset includes concentrations of carbon monoxide (CO), nitric oxide (NO), nitrogen dioxide (NO$_2$), ozone (O$_3$), sulfur dioxide (SO$_2$), particulate matter (PM$_{2.5}$ and PM$_{10}$), and ammonia (NH$_3$), providing a complete profile of Delhi's atmospheric pollutants. The temporal resolution enables analysis of diurnal patterns, seasonal variations, and pollution episodes. PM$_{2.5}$ serves as the primary target variable due to its significant health impacts, while the other gases and particulates act as potential predictors, meteorological influences, or co-pollutants in multivariate analysis.
DOI: 10.17632/kchjg825b3
title: Work Motivation and Quality of Working Life

description: Data of a four-wave longitudinal survey in Bulgaria, conducted in 1994, 1995, 1997, and 1999.
DOI: 10.17632/rff87t7mz6
title: Dataset of A New product development processes for IOT-enabled home use medical devices: a systematic review

description: A systematic review study following the PRISMA-P statement in the field of IOT and home use medical device new product development process of research articles in four electronic databases: PubMed, Web of Science, ScienceDirect and IEEE Xplore, published during 2007 to 2018 in the English language.
DOI: 10.25452/figshare.plus.21817875.v1
title: FACS dataset supporting paper "A preclinical randomized controlled multicenter trial of anti-IL-17A treatment for acute ischemic stroke"

description: This folder contains the raw fcs files and TTC stainings, used for the study "A preclinical randomized controlled multicenter trial of anti-IL-17A treatment for acute ischemic stroke". <br> See related materials in Collection at: https://doi.org/10.25452/figshare.plus.c.6371439 <br> Manuscript abstract Multiple consensus statements have called for preclinical randomized controlled trials (pRCT) to improve translation in stroke research. We investigated the efficacy of an IL-17A neutralizing antibody in a multicenter pRCT using a murine ischemia reperfusion stroke model. Twelve week old, male C57BL/6 mice were subjected to 45 minutes of transient middle cerebral artery occlusion (tMCAO) in four centers. Mice were randomly assigned (1:1) to receive either an anti-IL-17A (500 µg) or isotype antibody (500 µg) intravenously one hour after reperfusion. The primary endpoint was infarct volume measured by MRI three days after tMCAO. Secondary analysis included mortality, neurological score, neutrophil infiltration and the impact of the gut microbiome on treatment effects. Out of 136 mice, 109 mice were included in the analysis of the primary endpoint. Mixed model analysis revealed that IL-17A neutralization significantly reduced infarct sizes (anti-IL-17A: 61.77 ± 31.04 mm3; IgG control: 75.66 ± 34.79 mm3; p=0.01). Secondary outcome measures showed a decrease in mortality (Hazard Ratio=3.43, 95% CI=1.157-10.18; p=0.04) and neutrophil invasion into ischemic cortices (anti-IL-17A: 7222 ± 6108 cells; IgG control: 28153 ± 23206 cells; p&lt;0.01). There was no difference in Bederson score. The analysis of the gut microbiome showed significant heterogeneity between centers (R=0.78, p&lt;0.001, n=40). Taken together, neutralization of IL-17A in a therapeutic time window resulted in a significant reduction of infarct sizes and mortality compared to isotype control. It suggests IL-17A neutralization as a potential therapeutic target in stroke.
DOI: 10.6084/m9.figshare.22726883.v2
title: Codebook and examples of data coding using NVivo - updated

description: We coded 12 selected policy documents to identify RSGs and examine their views on fairness and AI application's potential benefits and risks in compulsory education. The unit of analysis was the individual document. More specifically, we read all documents several times. We identified the RSGs, their motives for using AI, the main problems AI can solve and the perceived benefits and risks of using AI. We conducted a manifest analysis, meaning we remained close to the text, describing the visible, such as the words in the text, without trying to infer latent meanings. The attached file provides examples of data analysis, including coding. For each identified group, we created a table that displays sample quotes from the data to exemplify our codes and categories.<br>Pinch, T. J., & Bijker, W. E. (1984). The social construction of facts and artefacts: Or how the sociology of science and the sociology of technology might benefit each other. Social Studies of Science, 14(3), 399–441. https://doi.org/10.1177/0306312840140030