BUSCADOR RECOLECTA

[Description of methods used for collection/generation of data] The data derived from the laboratory were obtained through various standardised tests, and recorded to gather behavioural data. For exploration and activity, positional data were acquired via a deep-learning object detection algorithm /YOLOv5). In the case of boldness and aggression, data were obtained by subsequently reviewing the videos. Regarding chronotypes, data were obtained from an acoustic telemetry experiment, but here we present only the scores obtained in a previous study., This dataset encompasses all necessary data required to replicate the study, `Chronotypes-Personality behavioural syndromes in wild fish’. The data were obtained through standardised behavioural tests conducted under laboratory conditions on 63 Pearly Razorfish (Xyrichtys novacula) individuals between April and July of 2019. Over a week, the fish were maintained in isolated aquariums to test their behaviours, including exploration, activity, boldness, and aggression, conducted daily. A Raspberry Pi system, equipped with the YOLOv5 deep-learning automatic tracking algorithm, was used to record these tests and calculate the fish's minute-by-minute position, providing essential data for evaluating exploration and activity. This system also stored videos to retrospectively obtain boldness and aggression data. Each test included only those individuals with at least two measurements. After the laboratory period, the fish were tagged with acoustic tags and returned to the sea to measure their chronotypes; only individuals with at least seven consecutive days of data were considered. The chronotype data, obtained from a previous study, are represented here through the previously derived scores. These laboratory-based experimental data were analysed using R software. In the exploration context, positional data were translated into total active time (TimeOut), minimum distance to the toy (MinDistance), and time spent near the toy (TimeToy). For activity, the data were converted into total active time (TimeOut), total distance covered (Distance), areas (CoreArea and Area), and direction angles (MeanAngle and KappaAngle). A Principal Component Analysis (PCA) was conducted to obtain the scores for exploration, activity, and aggressiveness. Upon acquiring these scores, trait repeatability was computed using a Linear Mixed-Effects Model, fitting the experimental day (Day), the total length of the individual (Size), and the internal condition (Condition) as fixed factors, and the individual (ID) and the experimental week (Week) as random factors. The chronotype scores (Awakening Time and Rest Onset) were subsequently included in each dataset and refitted into the Linear Mixed-Effects Model, including chronotypes as fixed factors. Lastly, a Multivariate Generalised Linear Mixed Model was fit to each pair of laboratory-based traits to derive their correlations., The research was carried out within the framework of the activities of the Spanish Government through the "Maria de Maeztu Centre of Excellence" accreditation to IMEDEA (CSIC-UIB) (CEX2021-001198). The CLOCKS I+D+I project funded this work (grant no. PID2019-104940GA-I00) funded by MCIN/AEI/10.13039/501100011033 and the FSE invierte en tu futuro. The telemetry system was financed by the German Federal Ministry of Education and Research (Grant No. #033W024A). This work is a contribution of the Joint Researcher Unit IMEDEA-LIMIA., With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2021-001198)., Peer reviewed

Table 1suppl Index of XRF analyses of planoconvex ingots in noble metals from northwestern Iberia (XRF USC = analyses made at the University of Santiago de Compostela, analytical conditions not reported; Innov-X Delta UCL = analytical conditions reported in Martinón-Torres and Ladra 2018; Innov- X Delta + Innov-X Alpha + μXRF CNA = analytical conditions reported in this article)., Table 2suppl XRF analyses of planoconvex ingots made at the University of Santiago de Compostela., Table 3suppl Analyses of the Estela jewels published by Hartmann (1982) (silver values reported as a percentage of the total; other elements reported as a percentage of the gold)., Geographical coordinates (decimal degrees – WGS84) for sites included in Table 1 (source: Google Maps)., Peer reviewed

Table S1. Radiocarbon dates on charcoal from Jebel Omedla and Jebel Mahadid (dates calibrated using OxCal v4.4.2 (Bronk Ramsey 2009) and the IntCal20 calibration curve (Reimer et al. 2020)., Peer reviewed

The data are included in two csv files: - Cruz_do_Bocelo_IR_peat_data.csv: Wavenumbers (WN) and standardized absorbances for peat samples (pB01 to pB69). - Cruz_do_Bocelo_IR_ash_data.csv: Wavenumbers (WN) and standardized absorbances for ash samples (aB01 to aB70).-- Data values are separated by semicolon.-- The core was sliced into 2 cm slices, which are numbered from the top ( sample 1: 0 – ⁠2 cm) to the bottom (sample 70, 138 – ⁠140 cm). Samples codes start with "p" for peat and "a" for ash, followed by "B" (i.e., Bocelo) and the number in the sequence (01 to 70)., The dataset contains standardized absorbance values of spectra for peat and ash samples, collected in the mid infrared (wavenumber 4000 – ⁠400 cm⁻¹) region using Fourier transform infrared spectroscopy - Attenuated total reflectance (FTIR-ATR). The spectra enable the characterization of the molecular and mineral composition of peat and ash, and how they vary with depth. It also helps in establishing the chronology of changes in the mineral composition of the deposited dust and understanding the factors controlling these changes. The samples were obtained from a core collected in 2007 at Cruz do Bocelo mire (NW Spain) and cover the last 2800 years., These data were obtained with funding by the grant Grupos de Referencia Competitiva (ED431C 2021/32) of Xunta de Galicia. L.L.M was supported by the Madrid Talent Attraction Program (Programa de Atracción de Talento de la Comunidad de Madrid, modalidad 1, 2019-T1/AMB-12782)., Peer reviewed

CP-O contribution is part of the CSIC Interdisciplinary Thematic Platform Teledetección (PTI-TELEDETECT), The recent availability of a systematic airborne LiDAR coverage for England in the scope of the Environment Agency’s ‘National LiDAR Programme’ has enabled the mapping of a new Roman road network system in South West Britain, an area where there was little solid evidence for a system of long-distance roads. To understand the rationale behind their construction, a GIS spatial analysis approach to model movement was developed, which included not just straightforward Least Cost Paths, but also other method, such as MADO and CMTC, to overcome some of the common limitations of Least Cost Paths and produce a more reliable prediction of the likely layout of the Roman road network in the area. The results indicate that this network privileged the movement of animal-drawn wheel vehicles, avoiding where possible areas subject to flooding risks. This road network is possibly the result of an evolutionary model, integrating pre-existing Prehistoric routeways with Roman military and civilian roads, most of which were probably still in use in Medieval times., Peer reviewed

Table 1. Petrographic fabric classifications of the 40 Late Iron Age sherds. Table 2. Total of petrographic fabric types in the sample, divided by phase. Samples derived from the main trench at El Castru, and were excavated in 2012-2013. Table 3. List of ceramic samples with contextual information and microphotographs. Table 4. List of geological samples with contextual information and microphotographs. Ceramic thin section description followed the guidelines modified from Whitbread (1989, 1995) by Quinn (2013)., Petrographic fabrics at El Castru in Vigaña (Balmonte de Miranda, Asturias, NW Spain). Petrographic fabric descriptions of ceramics from El Castru in Vigaña (Balmonte de Miranda, Asturias) and geological samples Ceramic thin section description followed the guidelines modified from Whitbread (1989, 1995) by Quinn (2013). Fabric descriptions of the geological samples., Peer reviewed

Se han añadido los datos publicados recientemente (Urrutia-Aparicio et al. 2021), por coherencia y completitud de la muestra. Las columnas indican para cada iglesia la ubicación, su advocación, la latitud (φ), la longitud (λ), el acimut (a), la altura del horizonte en esa orientación (h) y los valores de declinación resultantes (δ). Los errores de acimut, corregidos de declinación magnética, incluyen el error instrumental intrínseco de ½º y la desviación estándar de las medidas para cada iglesia. Las alturas aquellas obtenidas por HeyWhatsThat han sido marcadas con un asterisco. El error de declinación se ha obtenido mediante propagación de errores y corrigiendo la medida de altura de refracción atmosférica., Peer reviewed

Unless otherwise noted in the caption, images are by the authors. Images are not edited by the AJA to the same level as those in the printed article., Images to accompany the American Journal of Archaeology publication: Nomads Trading with Empires: Intercultural Trade in Ancient Somaliland in the First to Seventh Centuries CE., Peer reviewed

Semicircle indicates the real umbrellar diameter, straight line indicates the apparent diameter. (b) Upside-down specimen showing the three-winged pattern of the oral arms. White arrows indicate the two external wings, black arrow the internal one (Photo courtesy of Paolo Coretti). Both specimens have an apparent diameter of about 30 cm., No

The model has been processed in Chronomodel 2.0 (Vibet et al., 2016; Lanos and Dufresne, 2019). Since this software has not yet incorporated the new SHCal20 curve, the model was processed with the SHCal 13 curve. In the attached table, individual calibrations with SHCal 20 are also shown. The difference between them is extremely minor (average: 3 years, median: 2 years)., The Bayesian model presented in the paper has been calculated combining 20 radiocarbon dates. The dates coming from each of the 3 sectors of fields (Cerro Topaín, Topaín 2 [Lower Topaín], and Paniri) have been grouped as part of 3 different events (the cultivation of each sector considered as a different event). Despite our preliminary hypotheses, no prior assumptions were made about the relative chronological sequence of the three events, since this was one of the main questions to be addressed. The study period was established between 800-1600 AD in order to rule out the existing evidence of historical use of some of these sectors., Peer reviewed