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Maize Leaf Disease Dataset

This dataset accompanies the survey “Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety” (arXiv:2605.12729, https://arxiv.org/abs/2605.12729). It contains a record-level evidence audit of 185 claim-linked sources used to study LLM-enabled NetOps and AIOps across operational capability, architecture and tool grounding, assurance and control, evaluation, security, and human or organisational constraints. The data distinguish a three-layer scope hierarchy from four evidential statuses and six non-overlapping primary analytical pillars. Separate files identify 28 direct LLM-facing records, 13 operational systems used for autonomy analysis, 18 final-search additions, 14 transparent exclusions, and 6 contextual comparison surveys outside the quantitative denominator. The release includes machine-readable CSV and JSON files, a formatted workbook, a data dictionary, a matching 191-entry bibliography, citation metadata, a CC BY 4.0 licence, and integrity checksums. It contains no source full text, reviewer correspondence, private contact details, or internal compilation material.

Raw FCS files in T-IDLESTCE project.

brazil_electrification_and _childhealth.dta compiles municipal health data from Brazil's DATASUS and merges households electrified by municipality from Luz Para Todos in Brazil. It contains information on household infrastructure (e.g., public water, garbage collection, and public sewage) along with additional information on health care and services (e.g., vaccinations and prenatal care visits). Additionally, I also include development indicators, such as municipal-level HDI in 2000 , municipal GDP per capita and income per capita (DATASUS). pnaddata.dta simply appends Brazil's PNAD surveys from 2001 to 2009, keeping information on household demographics, income, and household capital. This is used to see how household electrification spurred capital accumulation and changed energy use within the household.

This dataset contains extracted bibliographic data for the records included in the analysis. The data are organised in an Excel spreadsheet and are provided as Supplementary Material 1 (Dataset). No personal, confidential, or sensitive data are included.

This dataset contains the supplementary data, codebook, JSON schema, extracted legal provisions, and pair-level scoring results for the manuscript "When Ambition Outruns Instruments: Provision-Level Policy Coherence for an Effective Circular Economy Transition in Peru". Contents: -Corpus Registry: Complete list of the 142 legal-regulatory instruments analyzed in the study. -Codebook & Schema: 18-field JSON schema and formal coding definitions used for LLM-assisted extraction. -Coded Dataset: 8,658 atomic provisions coded across the CEAP taxonomy nodes and canonical regulated objects. -Scoring & Adjudication Data: Pair-level evaluations and consensus scores across the four coherence axes (transposition, vertical fidelity, horizontal coherence, and collision).

This file consolidates the empirical corpus and analytical scripts underpinning the research. The first section presents the R source code used in the quantitative phase, detailing the parameters for the permutation tests, non-parametric regressions (Theil-Sen), and bootstrapping applied to the demographic historical series (2010–2024) of CAPES's upper and middle management. The second section compiles the complete qualitative corpus, consisting of the original transcriptions of requests, responses, administrative appeals, and disciplinary complaints processed via the Brazilian Access to Information Law (LAI) alongside CAPES, the Comptroller General of the Union (CGU), the Ministry of Education (MEC), and the Ministry of Racial Equality (MIR). Together, these records officially document the institutional omission and refusal to collect racial data regarding the Brazilian graduate education faculty, providing the material basis for the discourse analysis and the theoretical formulation of the racialized counter-bureaucracy concept.

This dataset contains the open-source design and implementation files for a portable wireless optoelectronic system for liquid refractive-index sensing based on a U-shaped plastic optical-fiber (POF) sensor. The repository includes electronic design files, PCB fabrication files, editable mechanical and 3D-printing files, microcontroller firmware, Android application files, web and server software, database files, and supporting documentation required to reproduce and modify the platform. The system integrates multispectral optical detection, embedded processing, automated positioning, temperature monitoring, wireless communication, and mobile/web-based visualization. These resources accompany the related HardwareX article and are provided to support reproducibility, adaptation, and further development of low-cost optical sensing systems.

Data set for prevalence, determinants and salivary micro-organisms in children with early childhood caries in urban Kano, Nigeria

Anonymized cleaned survey dataset with valid responses from customers of two vegetarian/vegan restaurants in Belém, Brazil. It includes variables on personal motivations, vegetarian attitude, restaurant experience, return intention, and sociodemographic characteristics, and was used in the PLS-SEM analyses reported in the related study.