cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48436/3crs2-7dr43
title: Supplementary data for "Absence of electron-phonon-mediated superconductivity in hydrogen-intercalated nickelates"

description: Context and Methodology
This repository contains raw data for the paper "Absence of electron-phonon-mediated superconductivity in hydrogen-intercalated nickelates" in the field of computational condensed matter. It was uploaded with the purpose of making the data of the paper publicly available to ensure reproducibility of the calculations performed. The preprint is available on arXiv. The manuscript has been submitted to a peer review journal. The dataset contains raw data used for the figures, input and output files for the calculations, as well as the modified code employed.
Technical details
The repository contains data in plain text format, as well as a few .png figures. It contains the following data:

One folder corresponding to each figure in the publication, with the raw data used to generate the figure (Figure1, Figure2, Figure3). Where more than one panel is present, subfolders indicate the data for each panel.
Raw input and output files for the calculations performed. All input and output files are in plain text format and can be read by any text editor. To understand their significance we refer the reader to the manual for the Quantum ESPRESSO and EPW codes. The folders containing input and output data are divided as follows:

The "LaNiO2" folder contains calculations for LaNiO2 done in two different supercells. The name of the folders/subfolders indicates the type of calculations. 
The "NdNiO2" folder contains calculations for NdNiO2 done in the 2x2x1 supercell, as well as convergence checks. Please note that under /PHONONS/ANHARMONIC/ only the raw data for the anharmonic phonon calculations are reported. The code was not uploaded, since it was given privately by the group of prof. Heil from TU Graz. Enquiries for the code should be directed to them. 
QE-7.1_DiCataldo_edit contains a modifided version of Quantum ESPRESSO that will accept as input the number of electrons and compute the electron-phonon coupling in the rigid-band approximation. This modified Quantum ESPRESSO code is shared under the GNU general public license in respect of the original license of the code.
License
All data is published under the CC-BY 4.0 license. The code is under the GNU General public license.
DOI: 10.48436/zb1bp-90w68
title: Supplementary data for "Absence of electron-phonon-mediated superconductivity in hydrogen-intercalated nickelates"

description: Context and Methodology
This repository contains raw data for the paper "Absence of electron-phonon-mediated superconductivity in hydrogen-intercalated nickelates" in the field of computational condensed matter. It was uploaded with the purpose of making the data of the paper publicly available to ensure reproducibility of the calculations performed. The preprint is available on arXiv. The manuscript has been submitted to a peer review journal. The dataset contains raw data used for the figures, input and output files for the calculations, as well as the modified code employed.
Technical details
The repository contains data in plain text format, as well as a few .png figures. It contains the following data:

One folder corresponding to each figure in the publication, with the raw data used to generate the figure (Figure1, Figure2, Figure3). Where more than one panel is present, subfolders indicate the data for each panel.
Raw input and output files for the calculations performed. All input and output files are in plain text format and can be read by any text editor. To understand their significance we refer the reader to the manual for the Quantum ESPRESSO and EPW codes. The folders containing input and output data are divided as follows:

The "LaNiO2" folder contains calculations for LaNiO2 done in two different supercells. The name of the folders/subfolders indicates the type of calculations. 
The "NdNiO2" folder contains calculations for NdNiO2 done in the 2x2x1 supercell, as well as convergence checks. Please note that under /PHONONS/ANHARMONIC/ only the raw data for the anharmonic phonon calculations are reported. The code was not uploaded, since it was given privately by the group of prof. Heil from TU Graz. Enquiries for the code should be directed to them. 
QE-7.1_DiCataldo_edit contains a modifided version of Quantum ESPRESSO that will accept as input the number of electrons and compute the electron-phonon coupling in the rigid-band approximation. This modified Quantum ESPRESSO code is shared under the GNU general public license in respect of the original license of the code.
License
All data is published under the CC-BY 4.0 license. The code is under the GNU General public license.
DOI: 10.48436/k1ce7-hrt53
title: RAAV - Results of the PT-STA accessibility analysis

description: Dataset description
As part of the project "RAAV - Rural Accessibility and Automated Vehicles" between the TU Vienna (Austria) and the EURAC institute (Bolzano, Italy), this file serves to summarise the results of a test of the PT-STA method in a comprehensible manner and to make them publicly available.
Context and methodology
An adaption of a classical STA accessibility analysis was formulated and the new method tested on a sample of over 100 individuals in Mühlwald, South Tyrol and over 100 individuals in Sooß, Lower Austria. The test is based on travel diaries, which have been attained in cooperation with and by interviewing said individuals.
To be as transparent as possible the data is provided in the Microsoft Excel format with all cell references. By doing this, we ensure that the data can also be used and adapted for other research. The travel diaries on which this research is based on can be accessed here: https://researchdata.tuwien.ac.at/records/hq7b7-xsa12
Technical details
The dataset contains one Microsoft Excel file containing multiple data sheets. All data from both regions, Mühlwald and Sooß were cumulated. In order to ensure data protection and anonymisation all names, addresses and coordinates of interviewed people, origins and destinations have been deleted from the dataset.
Other than Microsoft Excel, there is no additional software needed to investigate the data. The first datasheet gives an overview of abbreviations and data stored in each data sheet.
DOI: 10.48436/bd805-ryq27
title: Supplementary material to "Fine micro- and nanoplastics concentrations in particulate matter samples from the high alpine site Sonnblick, Austria"

description: This dataset contains supplementary material to "Fine micro- and nanoplastics concentrations in particulate matter samples from the high alpine site Sonnblick, Austria" (https://doi.org/10.1016/j.chemosphere.2024.141410). It includes results of triplicate analyses of plastics in particulate matter samples as well as data to reproduce Figure 1 (concentration of plastics on weekly filters) and Figure 2 (average contribution of main plastic types to plastics mass).
Context and methodology

Particulate matter samples of two size fractions were analysed via TD-PTR-MS and six types of plastics (PET, PE, PP/PPC, PS, PVC, Tire wear) were determined using a fingerprinting algorithm.
The evaluation of the results is described in the corresponding paper (https://doi.org/10.1016/j.chemosphere.2024.141410).
Technical details

A description of the dataset is given in the file "Readme.pdf".
The Excel-file "Data_Plastics.xlsx" contains the data derived from the fingerprinting and the conversion to atmospheric concentrations. The data is presented in multiple data sheets, described in detail in the Readme-file.
DOI: 10.48436/qfpa8-ga860
title: Supplementary material to "Fine micro- and nanoplastics concentrations in particulate matter samples from the high alpine site Sonnblick, Austria"

description: This dataset contains supplementary material to "Fine micro- and nanoplastics concentrations in particulate matter samples from the high alpine site Sonnblick, Austria" (https://doi.org/10.1016/j.chemosphere.2024.141410). It includes results of triplicate analyses of plastics in particulate matter samples as well as data to reproduce Figure 1 (concentration of plastics on weekly filters) and Figure 2 (average contribution of main plastic types to plastics mass).
Context and methodology

Particulate matter samples of two size fractions were analysed via TD-PTR-MS and six types of plastics (PET, PE, PP/PPC, PS, PVC, Tire wear) were determined using a fingerprinting algorithm.
The evaluation of the results is described in the corresponding paper (https://doi.org/10.1016/j.chemosphere.2024.141410).
Technical details

A description of the dataset is given in the file "Readme.pdf".
The Excel-file "Data_Plastics.xlsx" contains the data derived from the fingerprinting and the conversion to atmospheric concentrations. The data is presented in multiple data sheets, described in detail in the Readme-file.
DOI: 10.48436/nc184-wcq35
title: Data set for "Investigating the Readability of Test Code: Combining Scientific and Practical Views"

description: Purpose. The readability of software code is key for understanding and maintaining software systems and tests. Although several studies focus on investigating the readability of software code, we observed limited research work that  focuses on the readability of software test code. In industry practice, a limited number of guidelines aim for improving and assessing the readability of software (test) code.
Objective.Therefore, in this paper, we aim at investigating the readability of test code from an academic perspective  complemented by practical views, discussed in grey literature. Furthermore, we conducted a controlled experiment in academic environment to investigate the readability of selected test cases based on combined scientific and practical views. 
Methods. First, we build on the Systematic Mapping Study (SMS) approach with focus on academic literature, complemented by practical aspects reported in  grey literature. Second we investigate the perception of readability and understandability in a controlled experiment in academic environment.
Results. The result set of the SMS includes 19 studies for further analysis. The analysis of grey literature includes 62 results. Based on these sources, we identified a set of commonly agreed influence factors that are relevant for academia and industry but also smaller sets of factors that are mainly discussed in academia or industry with limited overlap. For a selected set of test cases we conducted a controlled experiment to collect knowledge on influence factors and the perception on the readability of test cases. For half of the test cases we showed that selected influence factors have a significant impact on the readability. 
Conclusion. The readability of test code is of interest in academia and industry practice. The results of the reported studies showed a common consensus on a set of influence factors to assess the readability of software test code. However, we also found factors that are more relevant for academia and others that are more relevant for industry. Based on the results, we see the need to bring together academic and industry viewpoints to achieve a common view on the readability of software test code
description: The data set includes (a) Mapping Table for the systematic Mapping study, (b) Mapping Table for grey literature analysis, (c) Participant's experience data, (d) Participant's readability assessment data, and (e) Experimental package with selected test cases
description: Subject / Keywords: Test Code · Readability · Understandability · Maintainability · Systematic Mapping Study · Grey Literature · Controlled Experiment
DOI: 10.48436/w4q8v-28695
title: Data set for "Investigating the Readability of Test Code: Combining Scientific and Practical Views"

description: Purpose. The readability of software code is key for understanding and maintaining software systems and tests. Although several studies focus on investigating the readability of software code, we observed limited research work that  focuses on the readability of software test code. In industry practice, a limited number of guidelines aim for improving and assessing the readability of software (test) code.
Objective.Therefore, in this paper, we aim at investigating the readability of test code from an academic perspective  complemented by practical views, discussed in grey literature. Furthermore, we conducted a controlled experiment in academic environment to investigate the readability of selected test cases based on combined scientific and practical views. 
Methods. First, we build on the Systematic Mapping Study (SMS) approach with focus on academic literature, complemented by practical aspects reported in  grey literature. Second we investigate the perception of readability and understandability in a controlled experiment in academic environment.
Results. The result set of the SMS includes 19 studies for further analysis. The analysis of grey literature includes 62 results. Based on these sources, we identified a set of commonly agreed influence factors that are relevant for academia and industry but also smaller sets of factors that are mainly discussed in academia or industry with limited overlap. For a selected set of test cases we conducted a controlled experiment to collect knowledge on influence factors and the perception on the readability of test cases. For half of the test cases we showed that selected influence factors have a significant impact on the readability. 
Conclusion. The readability of test code is of interest in academia and industry practice. The results of the reported studies showed a common consensus on a set of influence factors to assess the readability of software test code. However, we also found factors that are more relevant for academia and others that are more relevant for industry. Based on the results, we see the need to bring together academic and industry viewpoints to achieve a common view on the readability of software test code
description: The data set includes (a) Mapping Table for the systematic Mapping study, (b) Mapping Table for grey literature analysis, (c) Participant's experience data, (d) Participant's readability assessment data, and (e) Experimental package with selected test cases
description: Subject / Keywords: Test Code · Readability · Understandability · Maintainability · Systematic Mapping Study · Grey Literature · Controlled Experiment
DOI: 10.48436/73mtg-wxz22
title: RT-Percept Lumberyard Bistro

description: Pre-rendered dataset used in Training and Predicting Visual Error for Real-Time Applications for the Lumberyard Bistro scenes. Generated using the RT-Percept renderer and the RT-Percept scenes.
DOI: 10.48436/h5pcy-30729
title: RT-Percept Lumberyard Bistro

description: Pre-rendered dataset used in Training and Predicting Visual Error for Real-Time Applications for the Lumberyard Bistro scenes. Generated using the RT-Percept renderer and the RT-Percept scenes.
DOI: 10.48436/4fsyv-vrp53
title: The CLEF-IP 2012 Test Collection

description: CLEF-IP: Cross-Language Evaluation Forum - Intellectual Property
The CLEF-IP track ran from 2009 to 2013 and aimed to investigate IR techniques for patent retrieval.The track utilizes a collection of more than 1.3M patent documents (~2.6 million files) derived from EPO (European Patent Office) sources and EuroPCT Applications (more than 400K documents) published by WIPO (World Intelectual Property Organization). The collection contains documents in English, French and German with at least 150,000 documents in each language, all published before 2001.
There were three tasks in 2012: The first one was to find patent documents that are candidates to constitute prior art for a given claim taken from a patent document. The second task, flowchart recognition, asked participants to extract the information in these images and return it in a predefined textual format. The third task, chemical structure regonition, participants had to identify the location of the chemical structures depicted on images of patent pages and, for each of them, return the corresponding structure in a MOL file (a chemical structure file format).
Files

Document CollectionThe first one is a set of XML files representing a total of over 1.3 million patent documents.NOTE: the document collection is the same as the one published for CLEF-IP 2011, excluding images.
Topics and AnswersBoth the training and the test topic sets contain also the relevance assessments for the topics.
DOI: 10.48436/khw86-rnf37
title: CLEF-IP 2012

description: CLEF-IP: Cross-Language Evaluation Forum - Intellectual PropertyThe CLEF-IP track ran from 2009 to 2013 and aimed to investigate IR techniques for patent retrieval.The track utilizes a collection of more than 1.3M patent documents (~2.6 million files) derived from EPO (European Patent Office) sources and EuroPCT Applications (more than 400K documents) published by WIPO (World Intelectual Property Organization). The collection contains documents in English, French and German with at least 150,000 documents in each language, all published before 2001.There were three tasks in 2012: The first one was to find patent documents that are candidates to constitute prior art for a given claim taken from a patent document. The second task, flowchart recognition, asked participants to extract the information in these images and return it in a predefined textual format. The third task, chemical structure regonition, participants had to identify the location of the chemical structures depicted on images of patent pages and, for each of them, return the corresponding structure in a MOL file (a chemical structure file format).FilesDocument CollectionThe first one is a set of XML files representing a total of over 1.3 million patent documents.NOTE: the document collection is the same as the one published for CLEF-IP 2011, excluding images.Topics and AnswersBoth the training and the test topic sets contain also the relevance assessments for the topics.
DOI: 10.48436/7qbqh-qjm92
title: RT-Percept Sibenik Cathedral

description: Pre-rendered dataset used in Training and Predicting Visual Error for Real-Time Applications for the Sibenik Cathedral scene. Generated using the RT-Percept renderer and the RT-Percept scenes.
DOI: 10.48436/fzqhm-3hb68
title: RT-Percept Sibenik Cathedral

description: Pre-rendered dataset used in Training and Predicting Visual Error for Real-Time Applications for the Sibenik Cathedral scene. Generated using the RT-Percept renderer and the RT-Percept scenes.
DOI: 10.48436/0rt9q-n2214
title: RT-Percept Sun Temple

description: Pre-rendered dataset used in Training and Predicting Visual Error for Real-Time Applications for the Sun Temple scene. Generated using the RT-Percept renderer and the RT-Percept scenes.
DOI: 10.48436/cjfr3-xe250
title: RT-Percept Sun Temple

description: Pre-rendered dataset used in Training and Predicting Visual Error for Real-Time Applications for the Sun Temple scene. Generated using the RT-Percept renderer and the RT-Percept scenes.
DOI: 10.48436/3h1te-z9v19
title: MSDv1: Manufacturing Sound Dataset for Classification of Work-related Actions and their Sound

description: Currently, a dataset that contains sounds specific to manufacturing and/or assembly environment is not available. Within the Master's thesis "Sound is Context: Acoustic Work Step Classification using Deep Learning", a suitable dataset was created and open-sourced to public and research. The dataset contains a selection of typical production activities, which can be classified based only on their typical sounds. The recordings were performed in the Pilot Factory of the Vienna University of Technology.
The chosen production activities/sounds are:

Grabing screws from a box
Sanding
Filing
Hammer
Cordless screwdriver
Press drill
Bench grinder
The recording devices were the built-in microphone of a iPhone 13 Mini Smartphone and the Apple AUX-Headset microphone on a ASUS ZenBook 14 UM433I laptop. As smartphone recording applications, the standard Voice Memos App from Apple and the Voice Recorder & Memos Pro App from Linfei Ltd. were used, and on the laptop the standard Windows Voice Recorder was used. The different recording positions were 80cm away from the noise source, close (meaning 0-30cm), at the chest pocket, on a shelve above, reverse (meaning microphone was facing away or had an obstacle in between), or mixed (which means a variety of the before mentioned positions). To produce the sounds, the tempo, the intensity, the movement pattern, the rhythm, the hand, etc. were changed regularly, furthermore, due to the current work operation in the pilot factory, a wide variety of background noises were also recorded, which additionally increases the variance.
The recordings are available raw, without any pre-processing. Please refer to the thesis for information about pre-processing and the classification model.
DOI: 10.48436/xbg5w-49r94
title: SilviLaser 2021 Benchmark Dataset - Terrestrial Challenge

description: This benchmark dataset was acquired during the SilviLaser conference 2021 in Vienna. The benchmark aims to demonstrate the different terrestrial system's capabilities for capturing 3D scenes in various forest conditions. A number of universities, institutes, and companies participated and contributed their outputs to this dataset, compiled by terrestrial laser scanning (TLS), mobile laser scanning (MLS), as well as terrestrial photogrammetric systems (TPS). Along with the terrestrial data, one airborne laser scanning (ALS) data was provided as a reference.
Eight forest plots were installed in the terrestrial challenge. Each plot was formed with a 25-meter radius circular area and different tree species (i.e. spruce, pine, beech, white fir), forest structures (i.e. one layer, multi-layer, natural regeneration, deadwood), and age classes (~50 – 120 years). The 3D point clouds acquired by each participant cover the eight plots. In addition to point clouds, traditional in-situ data (tree position, tree species, DBH) were recorded by the organization team.
All point clouds provided by participants were processed in the following steps: co-registration with geo-referenced data, setting a uniform coordinate reference system (CRS), and removing data located out of the plot. This work was performed by OPALS, a laser scanning data processing software developed by the Photogrammetry Group of the TU Wien Department of Geodesy and Geoinformation. Please note that some point clouds are not archived due to problems encountered during pre-processing. The final products consist of one metadata, 3D point clouds, ALS data for reference, and corresponding digital terrain models (DTM) derived from the ALS data using OPALS software. Point clouds are in laz 1.4 format, and DTMs are raster models in GeoTIFF format. Furthermore, all geo-data use CRS of WGS84 / UTM zone 33N (EPSG:32633). More information (e.g. instrument, point density, and extra attributes) can be found in the file "SL21BM_TER_metadata.csv".
This dataset is available to the community for a wide variety of scientific studies. These unique data sets will also form the basis for an international benchmark for parameter retrieval from different 3D recording methods.
Acknowledgements
This dataset was contributed by the universities/institutes/companies (alphabetical order):

Czech University of Life Sciences Prague
Forest Design
Green Valley International
RIEGL
Silva Tarouca Research Institute
Swiss Federal Institute for Forest, Snow and Landscape Research
Umweltdata GmbH
University of Natural Resources and Life Sciences
Wageningen University & Research
Notes

In terms of in-situ data, please contact Markus Hollaus for details.
To perform a bulk download, please use this file to get the URL list.
Changelog

v1.0    First release
v1.1    Fix the misalignment issue for plot D