Supplementary file 3_The AMerican PREGNANcy Mother–Child CohorT: description and prevalence of baseline outcomes and medication dispensing.docx حسب Lisiane F. Leal (21986330)

"…We updated and implemented a hierarchical algorithm using ICD-9-CM and ICD-10-CM codes to identify pregnancies in individuals aged 15–45 years (2003–2021). …"

Supplementary file 2_The AMerican PREGNANcy Mother–Child CohorT: description and prevalence of baseline outcomes and medication dispensing.xlsx حسب Lisiane F. Leal (21986330)

"…We updated and implemented a hierarchical algorithm using ICD-9-CM and ICD-10-CM codes to identify pregnancies in individuals aged 15–45 years (2003–2021). …"

Supplementary file 1_The AMerican PREGNANcy Mother–Child CohorT: description and prevalence of baseline outcomes and medication dispensing.xlsx حسب Lisiane F. Leal (21986330)

"…We updated and implemented a hierarchical algorithm using ICD-9-CM and ICD-10-CM codes to identify pregnancies in individuals aged 15–45 years (2003–2021). …"

Unsupervised Concept Discovery for Deep Weather Forecast Models with High-Resolution Radar Data حسب Soyeon Kim (533382)

"…We provide comprehensive analyses of the clustered patterns grounded in meteorological theory, highlighting the potential of knowledge discovery of meteorological mechanisms from nonlinear, data-driven models.</p><p dir="ltr">This repository contains experimental code in Python scripts, Jupyter Notebook files, and a dataset for the extracted psuedo clusters.…"

Data Sheet 1_MACRPO: Multi-agent cooperative recurrent policy optimization.pdf حسب Eshagh Kargar (20458304)

Supporting Data for "Intelligent prediction of steel corrosion in cementitious materials via machine learning" حسب Haodong Ji (11129136)

"…</p><ul><li><b>Chapter </b><b>3</b> contains laboratory corrosion data of steel under carbonation conditions. The dataset includes 16 variables and 180 groups, along with code implementing relevant regression algorithms.…"

Australian Institution Co-authorship Collaboration Patterns DataArena exhibition March 4th حسب Simon Porter (1364613)

"…</p><p dir="ltr"><b>Methodology:</b></p><p dir="ltr">Graph layout: Batchlayout [1]</p><p dir="ltr">Clustering: Leiden Algorithm [2]</p><p dir="ltr">3d Layout: Blender [3]</p><p dir="ltr">Data: Dimensions [4]</p><p dir="ltr">Music for Animation: Scientific Cathedral (Instrumental Mix) <a href="https://soundcloud.com/roaming-mosaics" target="_blank">Roaming Mosaics</a></p><p>[5]</p><p dir="ltr">Music for DataArena: Michele Pasin Dreamy pianos - Study No 1 in C Minor (2023-12) [6]</p>…"

Research on Olympic medal prediction based on GA-BP and logistic regression model Extended data حسب Sanglin Zhao (20599835)

"…</p><p dir="ltr">Including data and code (Matlab)</p>…"

Heavy-load transfer steel platform. حسب Meijun Shang (22806461)

"…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. …"

Traditional scaffolding reinforcement system. حسب Meijun Shang (22806461)

"…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. …"

Iteration curve of the optimization process. حسب Meijun Shang (22806461)

"…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. …"

Survey Data on NSSI, Stress Response, Emotional Regulation Strategies and gender in Chinese Undergraduates حسب Yilin Ma (21154754)

"…</li></ul><p dir="ltr"><b>Data Collection and Measures</b></p><p dir="ltr"><b>1. …"

Integrated Error Correction to Enhance Efficiency of Digital Data Storage Based on DNA Nanostructures حسب Cuiping Mao (1474171)

"…However, errors during DNA reading pose challenges to data integrity. Conventional error-correcting codes add redundancy during encoding to ensure data integrity, thereby reducing storage density and increasing costs. …"

supporting data for PHD thesis entitled " Arousal Regulation and Neurofeedback Treatment for ADHD Children" حسب Yuliang Wang (9151616)

"…Analyses use standardized mean differences (Hedges g) under random-effects models, stratified by comparator type (medicine, active, sham, passive) and, where applicable, contrasted across protocol families (customised algorithm, SCP, SMR, TBR).</p><p dir="ltr">The supporting dataset contains the <b>raw arm-level descriptive statistics</b> required to compute effect sizes: per study, outcome, and timepoint it lists group means, standard deviations, and sample sizes for neurofeedback and control arms, along with rater, comparator category, protocol type, and outcome direction coding (so higher values consistently reflect the intended construct). …"

Data Sheet 1_Double array system identification research based on LSTM neural network.docx حسب Chunhua Gao (14307801)

"…This indicates that the algorithm can accurately reproduce the characteristics of the shaking table itself and shows good performance in time series prediction and data mining. …"

Raw experimental data for "A Novel Method for Extraction of Front Boundary Agents in Multi-agent Systems" حسب Yang Fengying (21518531)

"…</p><p dir="ltr">Researchers interested in accessing the source code of the algorithm may contact the corresponding author.…"

Data from "CoLaML: Inferring latent evolutionary modes from heterogeneous gene content" حسب Shun Yamanouchi (20616875)

fused map.zip حسب wenqing li (22081397)

"…<p dir="ltr">To improve the spatial and temporal reliability of LC patterns in ecologically heterogeneous regions, we adopted a multi-source data fusion approach based on the RF classification algorithm implemented on the GEE platform. …"

Biomass data and prediction model of rice heading stage in Haitang district, Sanya City, Hainan Province. حسب Wanyi He (14164810)

"…</p><p dir="ltr">2. "Data Set" folder: contains all data extracted from UAV images of sampling points, raw biomass modeling data and normalized biomass modeling data, providing rich data resources for subsequent research.…"

Data Sheet 1_Research on identification method of bituminous coal based on terahertz time-domain spectroscopy.zip حسب Shuguang Miao (21074276)

"…The results show that the terahertz time-domain spectroscopy combined with machine learning algorithm can accurately identify different kinds of bituminous coal, and the model classification effect based on terahertz absorption coefficient spectrum is better than that of the model based on refractive index spectroscopy, which provides a new idea for coal mining and utilization.…"