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U-Th ages were calculated using the initial detrital 230Th/232Th value of 111 ± 41 ppm, which was previously calculated for SC02 based on two isochrons measured in separate stalagmites from Secret Cave in Mulu (Carolin et al., 2013). A Matlab Monte Carlo script was used to calculated the absolute age and age errors associated with each U-Th sample using the 234U and 230Th half lives presented in Cheng et al. (2013). The Poisson-process deposition model feature in OxCal(v4.4) was used to interpolate between the eighteen U/Th ages to produce an age model (Bronk Ramsey, 2008; Bronk Ramsey and Lee, 2013).

This file contains data that can be used to replicate the figures and tables reported in the main text of "Socialist growth revisited: Insights from Yugoslavia".

Dataset for: One shot generalization in humans revealed through a drawing task. Henning Tiedemann, Yaniv Morgenstern, Filipp Schmidt, Roland W Fleming. bioRxiv 2021.05.31.446461; doi: https://doi.org/10.1101/2021.05.31.446461

The datasets present collected data aimed at measuring the state of cultural tourism and economic development and resilience of a select set of potential cultural tourism destinations in Europe, as part of the Horizon 2020 funded project SmartCulTour (www.smartcultour.eu). The data is collected on the level of Local Administrative Units (LAUs) for the following municipalities/cities: Spain: Ainsa, Barbastro, Benasque, Graus, Huesca, Jaca, Sariñena the Netherlands: Rotterdam, Delft, Dordrecht, Molenlanden, Barendrecht, Ridderkerk, Zwijndrecht Finland: Utsjoki Italy: Vicenza, Caldogno, Pojana Maggiore, Grumolo delle Abbadesse, Lonigo, Montagna Croatia: Split, Trogir, Kaštela, Solin, Sinj, Dugopolje, Klis Belgium: Dendermonde, Puurs-Sint-Amands, Bornem, Berlare, Aalst, Denderleeuw, Willebroek The data is presented as panel data and available for the following years: 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019. Please consult the metadata on each dataset for an overview of collected indicators and units of measurement.

Liang Abu is an archaeological site in East Kalimantan, Indonesia. This dataset describes the relationships between pottery fragments found during excavations (2009-2012). Two types of relationships are defined. A connection relationship refers to a physical connection between two fragments that were part of the same object. A similarity relationship between fragments is defined if there is an acceptable likelihood that those fragments were part of the same object. The dataset is composed of three tables: relations-connection.csv (56x2): "connection" relationships between fragments. matrix. Each line describes a connection relationship between two fragments. There respective unique identifiers are given in column "frg_id1" and in column "frg_id2". relations-similarity.csv (47x2): "similarity" relationships between fragments. matrix. Column "frg_id" gives a fragment unique identifier, column "su_id" gives a unique identifier for the group of similar fragments it belongs to (similarity unit). fragments.csv (177x8): contextual information concerning each fragment, with the following columns: frg_id: unique fragment identifier layer: stratigraphic layer zmin: minimal depth in centimetres where the fragment was found zmax: maximal depth in centimetres where the fragment was found square: square where the fragment was found sherd.type: type of pottery sherd thickness: thickness of the fragments in millimetres length: length of the fragments in millimetres {"references": ["Plutniak, Sebastien, Astolfo Araujo, Simon Puaud, Jean-Georges Ferrie, Adhi Agus Oktaviana, Bambang Sugiyanto, Jean-Michel Chazine et Francois-Xavier Ricaut. 2015. \"Borneo as a half empty pot: Pottery assemblage from Liang Abu, East Kalimantan, Quaternary International, doi: 10.1016/j.quaint.2015.11.080."]}

These data files are related to the following paper: Säily, Tanja, Eetu Mäkelä and Mika Hämäläinen. 2021. From plenipotentiary to puddingless: Users and uses of new words in early English letters. Mika Hämäläinen, Niko Partanen & Khalid Alnajjar (eds.), Multilingual Facilitation, 153–169. Helsinki: University of Helsinki. doi:10.31885/9789515150257.15 Excel files: c17-data.xlsx = data from the 17th-century sample, 1640–1660 c18-data.xlsx = data from the 18th-century sample, 1760–1780 Sheets within the files: data = all neologism tokens found and their metadata from the OED and the CEEC sample = list of all letters in the sample and their metadata from the CEEC See readme.txt for more information.

The IBM 3D models and derivative products were generated via a typical Image-based modeling pipeline. The aerial photos were collected by the UC Merced team using a DJI Phantom 3 Pro multi-rotor drone. The geospatial control data was collected by California State Parks licensed surveyor David Gutierrez using a Trimble differential GPS and Trimble robotic total station. The TLS LiDAR data were collected by the UC Merced team using a FARO Focus 3D S120 range finder and processed in FARO Scene and CloudCompare. The CAD drawings were created by Arianna Campiani using orthographic views of the buildings' terrestrial laser scanning point clouds produced by Scott McAvoy in the Potree Viewer. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the iconic Dechambeau Hotel & IOOF Hall buildings located at the entrance of town on Main St.

Curriculum-based measurement of oral reading fluency (CBM-R) is used as an indicator of reading proficiency, and to measure at risk students��� response to reading interventions to help ensure effective instruction. The purpose of this study was to compare model-based WCPM scores (CORE) to Traditional CBM-R WCPM scores to determine which provides more reliable growth estimates and demonstrates better predictive performance of reading comprehension and state reading test scores. Results indicated that in general, CORE had better (a) within-growth properties (smaller SDs of slope estimates and higher reliability), and (b) predictive performance (lower RMSE, and higher R-squared, sensitivity, specificity, and AUC values). These results suggest increased measurement precision for the model-based CORE scores compared to Traditional CBM-R, providing preliminary evidence that CORE can be used for consequential assessment.

The IBM 3D models and derivative products were generated via a typical Image-based modeling pipeline. The aerial photos were collected by contractor Monarch Inc. using a custom-made multi-rotor drone. The geospatial control data was collected by California State Parks licensed surveyor David Gutierrez using a Trimble differential GPS and Trimble robotic total station. The TLS LiDAR data were collected by the UC Merced team using a FARO Focus 3D S120 range finder and processed in FARO Scene and CloudCompare. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of the New Standard Hoist structure located on top of the Bodie Bluff in an area closed to visitors.

The IBM 3D models and derivative products were generated via a typical Image-based modeling pipeline. The aerial photos were collected by the UC Merced team using a DJI Phantom 3 Pro multi-rotor drone. No geospatial control was collected in the field, so the model was georeferenced using arbitrary markers/GCPs and the Bodie townsite dataset as a reference. Dataset includes all the natively digital geospatial and 3D data collected in our topographic and 3D survey of a downtown area along Green St. including the Methodist Church, the Red Barn, the D.V. Cain House, and the Dolan House.