Journal of Cultural Heritage

AltarData: A novel annotated dataset for object detection in the Brazilian heritage altars using deep learning AltarData innovates by publicly providing high-quality images of altars from 33 Brazilian historical religious buildings located in 12 historic towns. Three of these urban ensembles are recognized as UNESCO World Heritage Sites: the Historic Town of Ouro Preto, the Historic Centre of Salvador de Bahia, and the Historic Centre of the Town of Diamantina. In this context, the proposed dataset comprises 1,278 photographs with 12,093 labeled instances distributed across the following categories: 1 - Altar Table: the table located at the front of the altar, where items for the Eucharistic celebration are usually placed. 2 - Column: cylindrical pillar that serves both as a structural element and as an ornament of the altars. 3 - Crucifix: sculpture of Jesus Christ on the cross. In this study, both small crucifixes, typically placed in front of the tabernacle, and larger sculptures positioned at the center of the altar were considered. 4 - Saint Sculpture: images of saints located on the main or side altars of the churches. 5 - Tabernacle: small cabinet (box) with a door at the center of the altar, where the hosts are stored. 6 - Throne: type of pedestal used to display saint sculptures and crucifixes. In this study, both central and side thrones of the altars were considered. The data annotation phase aimed to label each collected altar image. The object types were selected based on their consistent presence in the altars of Brazilian historical churches from the 18th and 19th centuries. In this paper, the dataset was annotated by the authors, based on a careful study of traditional references in the field of Brazilian religious Baroque. In this sense, the architectural and ornamentation glossary of the Minas Gerais Baroque (A. Ávila, J. M. M. Gontijo, R.G. Machado, Barroco Mineiro: Glossário de Arquitetura e Ornamentação, Fundação João Pinheiro, 1980) and the visual glossary of the Luso-Brazilian Baroque (B. L .de Toledo, Esplendor do Barroco Luso-Brasileiro, 2nd Edition, Atelie Editorial, 2015) were analyzed. The dataset was split into training, validation, and test sets based on the geographical location of the historic churches: - training: Training and Validation Experiments (29 churches – 1,226 images), with images from the cities of Ouro Preto, Mariana, Serro, Rio de Janeiro, Cachoeira do Campo, Tiradentes, São João del-Rei, Lagoa Dourada, São Brás do Suaçuí, and Salvador. It is worth noting that the images in this subset were randomly split in an 80/20 ratio for training and validation, respectively. - testing: Test Experiments (4 churches – 52 images), with images from the cities of Diamantina and Campanha. In addition, the AltarData images are accompanied by an auxiliary file named info.labels. This file contains the annotations for each of the 12,093 items across all images.

ImageMG: The Image Dataset with Religious Buildings from the State of Minas Gerais (Brazil) for Cultural Heritage Classification using Deep Learning. The ImageMG contains 6,449 images collected from 94 religious buildings in 19 historic towns from state of Minas Gerais (MG): Carmo do Cajuru, Conceição do Pará, Datas, Diamantina, Itabirito, Itapecerica, Itaúna, Lagoa Dourada, Mariana, Mateus Leme, Oliveira, Onça do Pitangui, Ouro Branco, Ouro Preto, Pitangui, São Brás do Suaçuí, São João del-Rei, Serro, and Tiradentes. The classes addressed (fronton, church, window, door, and tower) for the deep learning detection process reflect the characteristics of religious monuments built in Brazil during the 18th and 19th centuries in the Baroque and Rococo styles. ImageMG represents an advancement compared to another recently presented dataset: $ ImageOP - https://data.mendeley.com/datasets/hdz96zts8j/1 ImageOP contains 1,613 images of 32 religious buildings from the Historic Town of Ouro Preto, considered the first Brazilian World Heritage Site by UNESCO. In this sense, ImageMG incorporates the images from ImageOP by adding 62 more buildings, 18 historic cities, and 5,036 images. The ImageMG dataset was divided into three image subsets according to the experimental stage evaluated (train, validation, and test). # In the training stage (ImageMG-train), 4,344 images of 72 cultural heritage buildings from 15 historic towns were used. # Additionally, in the validation phase (ImageMG-val), 836 images from two important Brazilian historic cities, Mariana and Pitangui, were adopted. # Finally, for the test experiments, 1,269 images of 13 religious buildings were collected. It is noteworthy that in the test phase, two cities from the state of Minas Gerais, significant for Brazilian Baroque, were selected: Diamantina and Serro. The Historic Centre of the Town of Diamantina is a World Heritage Site recognized by UNESCO. Moreover, the historic town of Serro is a relevant Brazilian architectural complex listed by the National Institute of Historical and Artistic Heritage. (Instituto do Patrimônio Histórico e Artístico Nacional – IPHAN) since 1938.

Results of the application of a semi-quantitative flood risk assessment framework to immovable cultural heritage assets in mainland Portugal.

The results of NM-PCI method applied on the analysed pebbles (supplementary material). Abbreviations: h = homogeneous; sh = shaded; m = mottled; sp = spotted; l = laminated; b = banded; st = streaked; c = conchoidal; s = subconchoidal; u = uneven; ND = non determined; Rad = radiolarians; Spi = sponge spiculae; For = foraminifers; FeOx = iron oxides; Org = organic matter. This dataset is cited in the text as Table 3.

Supplementary material S1: Deterioration patterns in elements of Ançã stone, in the Queluz gardens. S2: Main portal of Loulé church and details of intense scaling. S3: Limestone elements with scaling and deep cracking network in the main portal of Loulé church. S4: Santa Cruz church, Coimbra, Portugal, in 1997, before the intervention. S5 – Aspects of the intense spalling, scaling and deep fractures in limestone blocks of Porta Especiosa (Old Cathedral of Coimbra).

Data used for the paper entitled: "Rapid tools for assessing Building Heritage’s seismic vulnerability: a preliminary reliability analysis". Vulnerability assessment of structural units according to Lagormasino and Giovinazzi 2006 and Ferreira Vicente Varum 2010 are provided. Aggregate buildings vulnerability according to the Mazzotti 2008 (SISMA) methods are provided. Finally, Lagormasino and Giovinazzi 2006-based aggregate buildings vulnerability assessment methods according to Section 3.4 of the paper are offered, by including correlations with Mazzotti 2008.

The dataset and the examples of R scripts used for the paper.

DRIFT reference spectra of 10 synthetic organic pigments. PR1: Para red, pure (Acros Organics) PR3: Toluidinrot rein T 10004 (Farbwerke Franz Rasquin AG) PR4: Permanentrot SG3H (Kali-Chemie AG Berlin) PR6: Permanentrot hell (Kremer) PO5: Permanentrot 2 G extra (G. Siegle & Co. GmbH) PR83: Alizarin Krapplack dunkel (Schmincke) PG1: Fanal Grün D 8330 (BASF) PV2: Fanalviolett D 5460 (BASF) PY12: Permanentgelb DHG (Hoechst) PY3: Echtgelb rein R 10 G (Farbwerke Franz Rasquin AG)

Tables 1 to 6 of the paper Date-palm (Phoenix, Arecaceae) iconography in coins from the Mediterranean and West Asia (485 BC-1189 AD) and supplementary reference for data included in tables

Materials and methods used for the analyses described in the article "Adhesives used in paper conservation: chemical stability and fungal bioreceptivity" and presentation of DSC and ATR-FTIR results.