This article presents a validated dataset on external whistleblowing intention among government internal auditors in Indonesia, developed within the Extended Theory of Planned Behavior (ETPB) framework. Publicly available whistleblowing datasets rarely integrate behavioral and governance-related determinants and seldom involve government internal auditors, a professional group that is difficult to access because of the sensitive nature of fraud and corruption reporting. Data were collected through a cross sectional online survey of government internal auditors in DKI Jakarta using a structured questionnaire adapted from established studies. A total of 391 responses were obtained, of which 380 valid observations were retained after multivariate outlier screening. The dataset comprises 51 variables, including 42 questionnaire items measuring external whistleblowing intention, attitude, subjective norm, perceived behavioral control, perceived good governance dimensions, trust in the anti-corruption agency, and eight demographic variables. Comprehensive data quality procedures, including missing value assessment, outlier detection, normality analysis, non-response bias testing, and measurement model evaluation, were conducted to ensure data reliability and reusability. The repository is accompanied by a codebook and analytical documentation that facilitate replication studies, comparative research, secondary data analysis, and methodological testing. This dataset provides a valuable resource for governance, public administration, accounting, and ethical decision-making research while promoting transparency, reproducibility, and future theory development.
LexiMus-NER is the first Named Entity Recognition (NER) dataset designed specifically for historical Spanish musical press. Drawing on approximately 3,050,000 words from two early twentieth-century publications — El Sol (Madrid, 1918–1932) and Ondas (Madrid, 1925–1935) — the dataset defines four domain-specific entity types absent from general-purpose Spanish NER resources: COMPOSITOR (composer), INTERPRETE (instrumental performer or conductor), CANTANTE (singer), and AGRUPACION (musical ensemble). It comprises 11,697 annotated entities across 4,243 documents in CoNLL-style TSV/IOB2 format, accompanied by a curated gazetteer of 1,035 unique musical entities. A transformer-based model (BETO fine-tuned via spaCy, v9) achieves 91.9% entity-level detection precision on an independent 73,633-word evaluation corpus and above 90% human-validated classification precision across all four entity classes (n = 1,183). All resources are freely available on Zenodo (DOI: 10.5281/zenodo.19429405), Hugging Face, and GitHub under CC BY 4.0, produced within the LexiMus project ('Léxico y ontología de la música en español', PID2022-139589NB-C33), funded by the Spanish Ministry of Science and Innovation and the European Union.
This paper documents a new dataset of annual period life tables by race (Black and White) for New Orleans, 1880–1915, derived from an extensive, person-level index of registered deaths and full-count census data. The dataset provides single-year age intervals (0–84, plus an open interval at 85+) and yields annual estimates of life expectancy at birth (e₀) and other ages. These data shed light on New Orleans’ late-nineteenth- and early-twentieth-century mortality transition—a period marked by major public-health interventions and the hardening of racial segregation. The life tables reveal a widening racial gap: White life expectancy rose steadily from the early 1890s while Black life expectancy stagnated, producing a more than 15-year difference at birth by 1915. The dataset adheres to FAIR principles and is documented for reuse, supporting historical demographic, urban, and health-inequality research. Supplementary materials include benchmark-year race-by-sex tables and a codebook. Together, these resources provide a detailed city-level reconstruction of mortality by race in the pre-registration-era United States and a foundation for comparative analyses of racialized health transitions.
This data paper presents a curated, multilingual corpus of 33,344 works on climate finance published between 1990 and 2024. The dataset is assembled from 8 complementary sources that combine academic databases with a selected layer of institutional reports and key documents (1.4% of the corpus), adding institutional vocabulary and negotiation records absent from academic indexes. A multilingual retrieval strategy based on an eight-language keyword taxonomy is used to capture relevant works across linguistic contexts, while a reproducible pipeline integrates deduplication, metadata harmonisation, and quality filtering. English accounts for 93.8% of the refined works. The corpus includes a citation network derived from Crossref and OpenAlex, as well as embeddings pre-computed by a multilingual sentence-transformer.
This article presents a dataset comprising biographical, economic and geographical data relating to Church of Scotland ministers of the early nineteenth century. Transcribed from a range of authoritative church and government publications it brings together a number of hitherto unconnected sources. This facilitates a quantitative analysis of the decisions of ministers of the Church of Scotland regarding whether to leave or remain with the Church at the time of the 1843 Disruption. In demonstrating how the dataset might be deployed to statistically model the decisions of these ministers, it enriches existing historical narratives of the most important domestic event in Scotland during the nineteenth century.
