cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21528584.v1
title: Health behaviors are largely not predictive of adverse events following influenza vaccination

description: Identifying health behaviors associated with adverse events following immunization (AEFI) could identify intervention targets for AEFI prevention. University employees receiving an influenza vaccination (n = 1301) completed a series of online surveys for health behaviors including sleep, exercise, dietary intake, and smoking habits, and emotional state (baseline), and for indications of AEFI (three days post-vaccination) and influenza-like illness (ILI) symptoms (fortnightly follow-up for 4 months). 29.9% of participants reported an AEFI and 46.0% reported experiencing ILI during follow-up. Multivariate logistic regression revealed usual sleep duration was associated with AEFI (odds ratio 1.20, 95% confidence interval 1.03–1.41), increasing with each hour of sleep. ILI was associated with reporting AEFI (1.70, 1.24–2.33), increasing BMI (1.03, 1.00–1.06) and survey response frequency (1.13, 1.04–1.22), and decreased with better usual sleep quality (0.96, 0.92–1.00) and with increasing age (0.98, 0.96–1.00). Sex stratification revealed no significant predictors of AEFI for either sex; in women, experiencing AEFI increased likelihood of ILI (1.88, 1.25–2.85) and in men, survey completion frequency increased ILI likelihood (1.19, 1.05–1.36). Our study suggests modifying health behaviors would not alter AEFI risk and reactogenicity may signal weaker immunogenicity but confirmation through objective measures is warranted.
DOI: 10.6084/m9.figshare.28925753.v1
title: Design Justice Zine: Loot boxes

description: For my Design Justice zine, I chose to discuss loot boxes in video games and how they are a form of unregulated gambling.
DOI: 10.6084/m9.figshare.29012765.v1
title: The Primordiar Asymptote: A Theorem of Collapse and Constraint

description: This paper introduces the Primordiar Asymptote—a mathematically derived threshold in nonlinear oscillator networks where externally imposed coherence results in systemic collapse. Building on a modified Kuramoto model, the paper proves a structural divergence condition that affirms the Theory of Primordiarity and defines the limits of emergent stability. Relevant to complex systems, dynamical collapse, and mathematical physics.
DOI: 10.6084/m9.figshare.6143042.v1
title: Literature review and content analysis results.docx

description: Data is a table submitted as a supplemental material for a construction management and economics journal paper titled "Identification and Allocation of Risk Factors Encountered by Water Sector PPP Projects in Egypt." The table shows the results of literature review and content analysis on PPP risks.
DOI: 10.60893/figshare.sss.27913104.v1
title: 01992-07

description: O 1s
DOI: 10.17632/9dvbntsmtv
title: MD trajectories to accompany "Dynamics of the mu-opioid receptor in complex with Gi protein"

description: System coordinates (gro files) and trajectory frames (xtc files) from plain molecular dynamics simulations of the mu-opioid receptor (MOR) embedded in a POPC membrane, surrounded by water and ions, coupled to the Gi protein with (closed) and without (open) GDP. gromacs-2021.3 was used to perform the simulations.
DOI: 10.17632/k4x675k5dm
title: Data of "Deep Learning for Chaos Detection"

description: In this folder there are files that contain the raw material and the filtered data used for the training and test of the networks used in the paper "Deep Learning for Chaos Detection".

Namely, those starting with LM or Logistic_Map corresponds to the Logistic Map and those with LS and Lorenz_System corresponds to the Lorenz System. 

The files marked with Dataset in the name are the raw data (time series and Lyapunov exponents) computed as presented in the paper. And those marked with TEST, VALIDATION and TRAIN are the curated data given to the ML systems. In the case of the Lorenz System the data is already normalized as described in the paper.

Logistic Map: All files are ordered as follows
Initial condition, parameter a, first Lyapunov exponent, time series

Lorenz System: All files are ordered as follows except LS_3D.txt
Initial conditions, parameters σ; r; b, first Lyapunov exponent, time series x(t); y(t); z(t); x(t+1); y(t+1); z(t+1)

Each line of LS_3D.txt contains parameters σ; r; b, and then 0 o 1 depending on whether it is regular or chaotic.
DOI: 10.6084/m9.figshare.20079026.v1
title: TelomereLengthHeritabilityMetaAnalysis

description: Datasets and R code used to conduct a meta-analysis on the heritability of telomere length in vertebrate species. The dataset was collected from a systematic literature search on the Web of Science, and screened based on relevance, study species, accessibility, etc. The screened dataset was then used to investigate mean telomere length heritability, and sources of heterogeneity in telomere length heritability estimates.
DOI: 10.6084/m9.figshare.26135008.v2
title: <b>An open paradigm dataset for intelligent monitoring of underground drilling o</b><b>perations</b><b> in coal mines</b>

description: In the field of coal mine safety monitoring and automation, high-quality and specialized datasets are crucial for the development and validation of artificial intelligence algorithms. Currently, there is no comprehensive benchmark dataset specifically for coal mine industrial scenarios, which significantly limits the research progress of AI algorithms in the coal mining industry. This study has constructed for the first time a benchmark dataset (DsDPM 66) specifically for coal mine heading faces, containing 105,096 images obtained from videos of 66 drilling operation scenes. The dataset has been meticulously annotated manually to suit computer vision tasks such as object detection and pose estimation. In addition, this study conducted extensive benchmarking experiments on this dataset, applying various advanced AI algorithms including but not limited to YOLOv8 and DETR. The experimental results show that the proposed dataset can effectively improve the accuracy of various object detection and pose estimation models in coal mines, filling the data gap in the coal mining field and providing valuable resources for the development of coal mine safety monitoring and automation technologies. Due to storage constraints, the remaining categories of the dataset, including coal_miner, compressed_oxygen_self_rescuer, and mining_helmet, are available at https://doi.org/10.6084/m9.figshare.26135107.v1.
DOI: 10.17632/nyyc5svc95
title: Explanatory factors for local food purchase

description: The fieldwork was focused on consumers of fruits and vegetables. Respondents were interviewed in person outside hypermarkets, supermarkets, groceries, local and farmers’ markets in Spanish localities. The shopping locations chosen were in different areas of the localities considered, with significantly different socio-economic populations. Random samples were then drawn from customers outside these shopping locations. Finally, to participate in the study, customers were required to be responsible for food shopping decisions in their households. Finally, the analysis was based on the responses of 304 customers.
DOI: 10.6084/m9.figshare.29105213.v2
title: Supplemental table S1: Descriptive statistics for discrete variables related to solid diet, breed, and main destinations of male calves, analyzed across different dairy production systems (LOW = 12.0 L/cow per day (7.4–14.5); INT = 18.0 L/cow per day (14.6–22.5); and UPP = 26.7 L/cow per day (22.6–32.0).

description: Descriptive statistics for discrete variables related to solid diet, breed, and main destinations of male calves.
DOI: 10.6084/m9.figshare.7399037.v1
title: Ficken & Wright JVS 2018 Exp 1 Plant traits.csv

description: These data include root functional trait measurements for four woody understory species inhabiting longleaf pine forests.
DOI: 10.6084/m9.figshare.19161485.v4
title: STROBE-checklist for observational study

description: STROBE-checklist for cross-sectional study
DOI: 10.6084/m9.figshare.28804433.v1
title: Genotypic data of F1 progeny of olive tree "Olivière x Arbequina"

description: Genotypic data posted by Othmane Lamoumni, Ahmed El Bakkali, Omar Abou-Saaid, Phillipe Cubry, Lorenzo Leon, Magalie Delalande, Pierre Mournet, Gaeton Droc, Gautier Sarah, Hayat Zaher, Cherkaoui El Modafar, Bouchaib Khadari.Two parental genotypic datasets of olive tree F1 progeny "Olivière x Arbequina" according to the pseudo-testcross approach:- Female parent "Olivière" dataset with 127 individuals and 15.026 markers- Male parent "Arbequina" dataset with 125 individuals and 15.818 markersGenotypes are coded according to the Onemap software requirements (a, ab, b).Assignements (B3.7, D1.10, D2.15) refer to the marker segregation type:- B3.7: Markers segregating for both parents (hkxhk)- D1.10: Markers segregating only for female parent (lmxll)- D2.15: Markers segregating only for male parent (nnxnp)
DOI: 10.6084/m9.figshare.28815548.v4
title: Table S3. Serotype prediction of <i>Salmonella</i> isolates

description: These are the results of serotype prediction for Salmonella isolates, and they were predicted with SeqSero v 1.3.
DOI: 10.6084/m9.figshare.29092544.v1
title: Interview.pdf

description: This file contains anonymized student interview responses collected during a study on AI-assisted vocabulary learning among university EFL students in Iraq. The responses reflect learners’ perceptions of control, motivation, pronunciation improvement, and memorization challenges when using AI tools such as chatbots, flashcards, and pronunciation apps. The qualitative data complements the quantitative test results and provides in-depth insights into the learners’ experiences.
DOI: 10.17632/gz8r3spkns
title: Handwritten Hindko Digits Dataset (HHDD)

description: Dataset consists of 100 Hindko numbers written in words from 1 to 100 so these words were written on pages and every candidate was asked to write these 100 words twice. So 200 samples are taken from every candidate. Every candidate signed an undertaking that he/she have no objection on usage of this writing for academic and research purposes. Then by using advanced scanning machines these pages were scanned by setting dpi on 1200. Then words are cropped by using cropping tool from these scan images and saved into the folders. For every class separate folder is created and labelled from 1 to 100. Every sample is saved into their relevant folder so that 100 folder is used for 100 different words. As size of every image was different so for better results every image is resized into same size that is 50x50 pixels. The dataset consists of 224782 samples. The storage size of image dataset is 394MB and storage size of CSV version of dataset is 1098MB.
DOI: 10.6084/m9.figshare.9874394.v1
title: Raw Data.xlsx

description: This is the raw data from a manuscript entitled "Flow velocity and nutrients affect CO<sub>2</sub> emissions from agricultural drainage channels". Controlled field mesocosms were applied for mimicking agricultural drainage channels and the fate of the initial dissolved inorganic carbon. The dataset has a series of water parameters over time in each mesocosm, including water velocity, water depth, water temperature (WT), EC, dissolved oxygen (DO), dissolved inorganic carbon (DIC), nitrate, CO<sub>2</sub> flux, and CH<sub>4</sub> flux.<br>
DOI: 10.17632/7vmgd67rg9
title: Munjal data for HSP70 study

description: Thermotolerance traits and HSP70 expression data
DOI: 10.17632/cdrkwvwhky
title: Dataset LCA Basque Y HSR

description: These LCI data support the original research carried out on whether the construction of the Basque Y HSR line infrastructure is justified in terms of reducing environmental impacts and energy consumption.
DOI: 10.6084/m9.figshare.24239353.v1
title: Fig1 iEP data subset

description: Anndata object for reproducing some of the plots in Fig. 1 of the CellTag-multi 2023 paper: 210913_iep_rep_b4/fig1_subset_data_analysis/<br><br>Code for reproducing major plots and analyses can be found here: https://github.com/morris-lab/CellTag-multi-2023/tree/main
DOI: 10.17632/8bk3v63dh5
title: Data for: Long-term Changes in Married Couples’ Labor Supply and Taxes: Evidence from the US and Europe Since the 1980s

description: The zip-file "Tax Codes" contains tax codes for the 8 sample countries from 1983 to 2016. Facts_intro contains the data presented in Section 2 of the paper.
DOI: 10.17632/95n3n246ct
title: Gilteritinib Turkey

description: Gilteritinib Turkey Data Set
DOI: 10.17632/gktsfmy95n
title: Data for: Precordial Bipolar Leads: A New Method to Study Anterior Acute Myocardial Infarction

description: A new ECG method produces Precordial Bipolar Leads (PBL) generated by subtraction of measurements of Standard Precordial Unipolar Leads (SPUL). This procedure brings new information about time/amplitude mismatch among SPUL, presenting it as tracings and local VCG loops exploring the precordial left-to-right axis on the horizontal plane. In this study, results of V2-V1 bipolar precordial derivation V2-V1 (right to left) and its relationship with the anteroposterior axis are presented.
DOI: 10.17632/gysjfpvxpm
title: ST_URA8_Dataset_part_2

description: This is a dataset for Bluetooth 5.1 DoA applications with URA8 antenna arrays. It was conceived as a starting point for developing and validating DoA algorithms for real-life scenarios. Unlike other datasets, it contains Bluetooth signals with not only varying intensity of additive white Gaussian noise, but also coherent interfering signals with random DoA coordinates. The dataset is divided into two branches, one consisting of pure sinusoidal tones and the second comprised of baseband Bluetooth signals. The Python code which generated this dataset is included. Therefore, the dataset can be expanded and also modified to suit other types of signals and simulate other types of antenna arrays. Please note that this is only the first part of the dataset. The dataset is comprised of four parts, and you need to download all of them in order to recreate the entire directory structure. Part 1: http://dx.doi.org/10.17632/zjn2zxcgyz.1 Part 2: http://dx.doi.org/10.17632/gysjfpvxpm.1 Part 3: http://dx.doi.org/10.17632/nnv3vpy4y3.1 Part 4: http://dx.doi.org/10.17632/362szwsnc4.1
DOI: 10.15468/dl.56ufwa
title: Occurrence Download

description: A dataset containing 4 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 Polygala darwiniana A.W.Benn.",
 "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 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013289-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jvp8ybvgxd
title: Finance inequality & poverty and  energy consumption

description: The dataset was obtained from the World Development Indicator (WDI) database, the Global Income and Consumption Project (GICP) and country specific websites in Africa from 2000-2020. The study employed the two-steps systems GMM estimation technique to obtain the results of the study
DOI: 10.6084/m9.figshare.17024591.v3
title: BraVL

description: This is the official trimodal datasets for the paper "Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features" ( https://ieeexplore.ieee.org/document/10089190 ). Code is available at https://github.com/ChangdeDu/BraVL
DOI: 10.6084/m9.figshare.24866022.v2
title: <b>Photogenerated outer electric field induced electrophoresis of organic nanocrystals for effective solid-solid photocatalysis</b>

description: Source data for <b>Photogenerated outer electric field induced electrophoresis of organic nanocrystals for effective solid-solid photocatalysis</b>
DOI: 10.6084/m9.figshare.28034282.v1
title: pretrain datasets for ERNIE-RNA

description: pretrain datasets for ERNIE-RNA<br>Dataset0： RNAcentral database filtered for sequences &lt;1024nt<br>Dataset1: Dataset0 excluding rRNA and tRNA sequences<br>Dataset2: Dataset0 retaining 20% rRNA/tRNA and all other RNA categories<br>Dataset3: Random sample from Dataset0 matched to Dataset2 size<br>Dataset4: Dataset0 excluding lncRNA sequencesDataset5: Random 2.72M sequences (860M token) subset from Dataset0 for scaling analysis<br>Dataset6: Random 0.27M sequences (86M token) subset from Dataset0 for scaling analysis
DOI: 10.6084/m9.figshare.28099430.v3
title: Draft contigs

description: These were draft contig genomes from wid crops.
DOI: 10.6084/m9.figshare.28525922.v1
title: The Effect of Temperature Changes on Respiration, Pulse, Rectal Temperature, and Body Condition Score in Sheep

description: This study aims to determine the monthly temperature-humidity index (THI) in sheep and evaluate their physiological responses and BCS under heat stress conditions to elucidate the effects of heat stress on sheep.<br>
DOI: 10.6084/m9.figshare.4743778.v1
title: Bleaching database V1.0.xlsx

description: This database is an expansion of the voluntary Reefbase database of bleaching observations developed through outreach to the coral reef research and monitoring community and from observations available in the literature. Version 1.0 contains observations through 2010. A spreadsheet in .xlsx format lists each individual bleaching observation and a database legend (see “README”).
DOI: 10.6084/m9.figshare.16622851.v1
title: 2445_PVloop5mili.xlsx

description: Raw PV loop data from animal #2445, raw pressure volume data in 5 millisecond timesteps.
DOI: 10.6084/m9.figshare.25517437.v1
title: Benthic Macroinvertebrate Range Map Shapefiles

description: Shapefiles for each layer of polygons for the benthic macroinvertebrate range mapsBroad-scale: 800km SL ClustersRegion-scale: 800km WPGMA ClustersHotspots: 200km UPGMA clusters
DOI: 10.17632/3nmbz2jyd2
title: Data for: Leap-Frogging and Energy Consumption: A Country Panel Analysis

description: This is the expanded dataset used in the addendum to Liddle & Huntington 2020. Please cite this data as: Liddle, B. & Huntington, H. 2020. There’s Technology Improvement, but is there Economy-wide Energy Leap-Frogging? A Country Panel Analysis. Accepted at World Development.
DOI: 10.6084/m9.figshare.13483011.v2
title: Stress, depression dataset

description: Data on , stress and depression
DOI: 10.6084/m9.figshare.28194797.v2
title: Houbara Bustard and Intruders

description: Houbara Bustard and Intruders Dataset for the manuscript with the title "HBID24K: A New Benchmark Dataset for Vulnerable Houbara Bustard and Intruder Detection in Wildlife Monitoring"
DOI: 10.6084/m9.figshare.4668229.v1
title: Corpus and Software

description: We are constantly exposed to a large number of chemicals present in food, water, air, dust, soil and consumer products. These chemicals enter our bodies via several routes: ingestion, inhalation and dermal absorption. Many of these chemicals are known or suspected to have toxic effects that can cause disorders and diseases. Chemical risk assessment is the process of evaluating such risks, and includes exposure assessment.Exposure assessment methods include both indirect methods, such as exposure modelling and exposure calculations based on environmental measurements and questionnaire data, and direct measurements, such as human biomonitoring (HBM) and personal monitoring. HBM is the measurement of exposure biomarkers (chemicals or chemical metabolites) and effect biomarkers (indicators of effects caused by chemical exposure) in human body tissues or fluids, such as blood, hair and urine. To assess the total exposure to a chemical and evaluate the importance of different exposure routes.<br>We have annotated a corpus of 3686 scientific publication abstracts with a novel classification taxonomy specific to Exposure assessment. The taxonomy is divided into two main branches: <i>Biomonitoring</i> and <i>Exposure routes</i>.<br>You can also download the pre-processed corpus, which includes extracted Part-of-Speech tags, grammatical relations, Named Entities, Medical Subject Headings, Chemical lists, verb clusters and n-grams<br>The pre-processed corpus includes all features extracted by our software. This will save you the effort of extracting the features, and you only need to train your models using our provided software (or any other software/tools that you prefer).<br><br><br><br>
DOI: 10.17632/dgcgj95b6c
title: Distinct reward processing by subregions of the nucleus accumbens. Chen et al.

description: Raw data for the paper Distinct reward processing by subregions of the nucleus accumbens at Cell Reports
DOI: 10.6084/m9.figshare.21151033.v1
title: all_12k_sets_table_II.mat

description: Input to the Time_Domain_Features function.
DOI: 10.6084/m9.figshare.23599155.v2
title: The Sudden Transition to Online Learning: Teachers' Experiences of Teaching during the COVID-19 Pandemic

description: This file includes interviews with participants (teachers) involved in virtual education.titled
DOI: 10.6084/m9.figshare.962952.v1
title: Interaction tasks and controls for public display applications - list of analysed publications

description: List of publications that were analysed for the paper "Interaction tasks and controls for public display applications"
DOI: 10.17632/vwby5tbdkg
title: Datasets and supplementary files for Respiratory symptoms, pulmonary function and lung CT findings in patients with post-COVID-19 syndrome: a systematic review and meta-analysis

description: Included in the ZIP file are: 1. Excel spreadsheets containing the datasets for each of the primary (respiratory symptoms, abnormal respiratory function test results prevalence and abnormal lung CT scan findings prevalence) and secondary outcomes(mean values for respiratory function test parameters). 2. A file describing the data calculation, forest and funnel plot creation in RStudio, as well as the subgroup and sensitivity analysis for each outcome included. 3. The forest plots for each of the primary and secondary outcomes. 4. The results of the subgroup and sensitivity analysis for each of the primary and secondary outcomes. 5. The funnel plots for publication bias assessment for each of the primary and secondary outcomes. 6. A file detailing the number of outcomes from each individual study included in the systematic review and meta-analysis. 7. A file detailing which studies had missing data and how the outcomes from those studies were calculated. 8. A file detailing the naming and definition of an outcome in a particular study, as well as the location of the target data in the study(full text or supplementary material) and whether the datasets were stratified in different groups in that study. 9. A list of the most notable studies that did not make it into the final list of studies of the systematic review and meta- analysis and the reasoning behind their exclusion.
DOI: 10.6084/m9.figshare.21382026.v3
title: (Table S14) GTEXDEPMAP gene essentiality scores

description: GTEXDEPMAP gene essentiality scores. Rows are gene models and columns are GTEX samples.
DOI: 10.6084/m9.figshare.21521340.v2
title: The occurrence records of Mikania micrantha from field surveys, literature surveys and GBIF

description: The occurrence records of Mikania micrantha from field surveys, literature surveys and GBIF
DOI: 10.17632/dgyhpm7h2k
title: Step Width System Capture

description: Hardware design for build a Step Width System Capture