This dataset contains all data and analysis scripts pertaining to the research conducted for the PLOSOne paper: “Natural language processing for cognitive therapy: extracting schemas from thought records.” The cognitive approach to psychotherapy aims to change patients' maladaptive schemas, that is, overly negative views on themselves, the world, or the future. To obtain awareness of these views, they record their thought processes in situations that caused pathogenic emotional responses. To date, the schemas underlying such thought records have been largely manually identified. Using recent advances in natural language processing, we take this one step further by automatically extracting schemas from thought records. We used the Amazon Mechanical Turk crowd sourcing platform to collect a set of 1600 thought records. In total, these thought records contain 5747 thoughts of various depth levels, with the automatic thought constituting the most shallow level and the core belief the deepest level. We here deliver:1. a natural language dataset: the thoughts delineated by participants in the scenario-based and open thought records2. reliability analyses: all thoughts were labeled with respect to the degree to which they reflect a set of 9 possible schemas by the first author. An independent second coder also labeled a sample of the thoughts.3. analyses to determine whether automatic identification of thoughts is possible.4. additional materials (scenarios, instruction videos, qualtrics survey, osf preregistration form) that could assist in the replication of the study.
This is the accompanying code to the Master Thesis research project "Cities for Citizens: Identification of Public Values and their Conflicts in Urban Spaces" conducted in cooperation with the CUSP Lab @ TPM TU Delft and the City Science Lab Hamburg. Aiming to identify public values and their spatial conflicts, a total of nine Jupyter notebooks and one R script follow the research flow as outlined in the Master thesis document.
This is the supporting dataset for “Chamberlain, E.L., Shen, Z., Kim, W., Törnqvist, T.E., McKinley, S., & Anderson, S. Does load-induced shallow subsidence inhibit delta growth? In prep for Journal of Geophysical Research - Earth Surface”. Estimated submission date: March, 2021.The dataset includes stratigraphic information for boreholes of ten cross sections that were hand drilled from 2013-2015 CE in the bayhead region of the Lafourche subdelta, Mississippi Delta, USA. The study area spans ~6000 km2 and the cross sections are located near distributary channels. Data herein describe the location, surface elevation, and depth of each borehole as well as the depth relative to the surface of the mouth-bar to overbank (M-O) boundary and OSL ages for the mouth-bar deposits.We used these data to estimate centennial- to millennial-timescale cumulative subsidence and subsidence rates of a buried stratigraphic horizon, the M-O boundary, as detailed in the associated publication. Subsidence calculation methods are presented in the dataset, and subsidence data obtained from peat-top elevations at a relatively inland site (Paincourtville, LA, USA) are presented for comparison.
Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision.Download the README.txt first to help you decide what you want/need to download!In this dataset, we capture the painterly depictions of materials to enable the study of depiction and perception of materials through the artists' eye. We annotated a dataset of 19k paintings with 200k+ bounding boxes from which polygon segments were automatically extracted. Each bounding box was assigned a coarse label (e.g., fabric) and a fine-grained label (e.g., velvety, silky).Note that the data can be browed and explored on https://materialsinpaintings.tudelft.nl. If you only want to download a few paintings, using that website might be faster.
The database illustrates the variety of functions and enlarges the solution space to preserve heritage. It shows different aspects to categorize on. That way, matches in possible functions can be found. The data is found by doing qualitative and quantitative research (case studies and literature research)
A collection of around 11.000 painted faces, from 6 galleries, and a datafile with statistics for each face. Each face is present as a crop from the original painting, a crop with the background removed and a crop with the background, eyes and mouth removed.
Ngan-Tillard, Dominique; Meijvogel-de Koning, P.M. (Ellen); Langejans, G.H.J. (Geeske); van Keulen, H. (Henk); van der Plicht, J. (Johannes); Cohen, K.M. (Kim); van Wingerden, W. (Willy); van Os, B. (Bertil); Smit, B.I. (Bj��rn); Amkreutz, L.W.S.W. (Luc); +4 more
Ngan-Tillard, Dominique; Meijvogel-de Koning, P.M. (Ellen); Langejans, G.H.J. (Geeske); van Keulen, H. (Henk); van der Plicht, J. (Johannes); Cohen, K.M. (Kim); van Wingerden, W. (Willy); van Os, B. (Bertil); Smit, B.I. (Bj��rn); Amkreutz, L.W.S.W. (Luc); Johansen, L. (Lykke); Niekus, M.J.L.Th. (Marcel); Kozowyk, P.R.B. (Paul); Verbaas, A. (Annemieke);
The data set contains X-ray micro-CT scan data of a Middle Palaeolithic tar backed tool found in the Dutch North Sea. The tool consists of an undiagnostic flint flake embedded in a thick piece of birch tar dating from the Middle Palaeolithic. It is a significant find because 1) it is the first to be discovered in the Netherlands and the 5th in Europe and 2) both the composite nature of the tool and the presence of tar which resulted from a complex transformative technology illustrates the Neandertal intellectual capacities. This is the first ever tar backed tool which has been securely dated, chemically analysed, subjected to optical microscopy wear analysis, and scanned with a X-ray micro-CT scanner. All analyses are presented and discussed in a multidisciplinary article written by Niekus et al.. The article has been submitted for review shortly after the scan data has been published in the 4TU Centre for Research Data. The micro-CT scan data which reveals the inner structure of the tar, the flint and the morphology of the flint-tar interface is presented as supplementary material to the article. The data set is made of 5 types of files: - Images of the digitally reconstructed tool in dcm format (dicom files). The images can be used to visualize the tool in 3D with public domain open source software ImageJ. They can also be further post-processed. Upon request the raw scan data (before re-construction) can be provided. - The surface meshes of the flint and the tar in obj and ud3 formats. The surfaces can be inspected separately in 3D using public domain open source software Meshlab. They can also be 3D printed. - A video in wmv format allowing to explore the inner and outer structure of the tool. - A pdf describing features displayed in the video. - A pdf containing the meta-data related to the scan and the data processing.