Find research datasets worth reusing

Data set. Optical properties. J-aggregate:PVA polaritonic films.

Optical properties (real and imaginary part of permittivity) of J-aggregate:PVA materials analysed in manuscript entitled "Bio-inspired building blocks for all-organic metamaterials from visible to near-infrared".  arXiv preprint arXiv:2210.02315

Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art History

Throughout the history of art, the pose—as the holistic abstraction of the human body's expression—has proven to be a constant in numerous studies. However, due to the enormous amount of data that so far had to be processed by hand, its crucial role to the formulaic recapitulation of art-historical motifs since antiquity could only be highlighted selectively. This is true even for the now automated estimation of human poses, as domain-specific, sufficiently large data sets required for training computational models are either not publicly available or not indexed at a fine enough granularity. With the Poses of People in Art data set, we introduce the first openly licensed data set for estimating human poses in art and validating human pose estimators. It consists of 2,454 images from 22 art-historical depiction styles, including those that have increasingly turned away from lifelike representations of the body since the 19th century. A total of 10,749 human figures are precisely enclosed by rectangular bounding boxes, with a maximum of four per image labeled by up to 17 keypoints; among these are mainly joints such as elbows and knees. For machine learning purposes, the data set is divided into three subsets—training, validation, and testing—, that follow the established JSON-based Microsoft COCO format, respectively. Each image annotation, in addition to mandatory fields, provides metadata from the art-historical online encyclopedia WikiArt.

Data Set on the Literature Screening for a Scoping Review of Evacuation Training Methods in Buildings

This data set contains all retrieved literature records of a scoping review on fire evacuation training methods in buildings together with the reasoning for their in- or exclusion in the review.

Text-fig. 2. Geological setting of the studied sites. a: Stratigraphic position of the Mospyne Formation in the Carboniferous succession of the Donets Basin. b: Stratigraphic position of the studied locality of ammonoids (numbers in circles to the right of the lithological column). c–f: Some studied localities, c – stratigraphic level with ammonoids No. 8, d – stratigraphic level No. 4, e – stratigraphic level No. 3, f – part of the section of the Mospyne Formation in Sukha Ravine and the position of stratigraphic levels with ammonoids. Abbreviations: Tour. – Tournaisian, Serpukhov. – Serpukhovian, Kasimov. – Kasimovian. in Late Bashkirian Ammonoids From The Mospyne Formation Of The Donets Basin, Ukraine

Text-fig. 2. Geological setting of the studied sites. a: Stratigraphic position of the Mospyne Formation in the Carboniferous succession of the Donets Basin. b: Stratigraphic position of the studied locality of ammonoids (numbers in circles to the right of the lithological column). c–f: Some studied localities, c – stratigraphic level with ammonoids No. 8, d – stratigraphic level No. 4, e – stratigraphic level No. 3, f – part of the section of the Mospyne Formation in Sukha Ravine and the position of stratigraphic levels with ammonoids. Abbreviations: Tour. – Tournaisian, Serpukhov. – Serpukhovian, Kasimov. – Kasimovian.

opencc-by-4.0Aug 2022View details →

Data Set: Single-well pore pressure preconditioning for Enhanced Geothermal System stimulation

This is the Python code and plotted figure data used to create the figures for the submitted manuscript, "Single-well pore pressure preconditioning for Enhanced Geothermal System stimulation" submitted to JGR: Solid Earth in 2022. The manuscript concerns a novel technique developed for EGS stimulation, called pore pressure or effective normal stress preconditioning, which preemptively alters the stress field along a fault prior to injection, such that the risk of induced seismicity is reduced. Using a slightly altered version of a preexisting model (a combination of an analytical pore pressure model and a linear slip weakening seismicity model) the effect of this kind of treatment is evaluated.

opencc-by-4.0May 2022View details →

Data set for paper "Spatial Mobility Capital: A Valuable Resource for the Social Mobility of Border-Crossing Migrant Entrepreneurs?"

Data set for paper "Spatial Mobility Capital: A Valuable Resource for the Social Mobility of Border-Crossing Migrant Entrepreneurs?"

Data set for article "Migrant Entrepreneurs as Agents of Development? Geopolitical Context and Transmobility Strategies of Colombian Migrants Returning from Venezuela"

Data set for paper "Migrant Entrepreneurs as Agents of Development? Geopolitical Context and Transmobility Strategies of Colombian Migrants Returning from Venezuela"

Data set for "On the interplay between lipids and asymmetric dynamics of an NBS degenerate ABC transporter"

Supplementary data from molecular dynamics simulations performed on different states of bMRP1 (IF apo, IF ATP- and/or LTX-bound, as well as OF ATP-bound states) and embedded in different lipid bilayer membranes (namely POPC, POPE, POPC:POPE (3:1), POPC-Chol (3:1) and POPC:POPE:Chol (2:1:1). Are included: - Initial and postMD data - MD inputs used - Raw source data used for plot (ABC structural parameters, H-bond and non-covalent analyses, lipid order parameters, and efficiencies from Allopath tool) - PCA supplementary movies (PC1)

Experimental Electrical Impedance Tomography Data Set Using the Spectra Bioimpedance and EIT Complete Kit

Abstract The amount of open-source EIT measurement data is low. This data set concerns the acquisition and processing of different measurement data using the SpectraEIT-Kit as well as information about the deposited files. Aknoelegenment Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 1270/2 - 299150580.

Validation of STS Conceptual Model Designing Approach. DMI374 and DMI747 Data Sets.

Surveys of DMI374 and DMI747 student groups were conducted for the purpose of validating the STS conceptual model designing method. A 5-point and dichotomous Likert questionnaire was used for the survey. The files contain response datasets used in statistical processing.

Imaging data-set of mitochondrial Zink Finger localisation in mammalian cells

This repository contains all raw and saved images for experiments with mitochondrial ZincFingers or mtZincFinger-Fluorophores conducted by Timo Rey during 2021 and 2022 at the MRC Mitochondrial Biology Unit without curation (unfiltered). A more detailed description with a selection of representative images and proposed conclusions will follow eventually File-titles should be explicable of cell line and over-expressed plasmid constructs and/or antibodies used. Please refer to the accompanying excel sheet as well as all available plasmid maps for further detail and do not hesitate to enquire by contacting Timo Rey via e-mail, if further clarifications are needed. All images were acquired on an LSM880 Confocal Microscope, except for those on June 2, 2022, which were acquired on an Andro DragonFly Spinning Disk. Have a look and draw your own conclusions!

Changing intensity of hydroclimatic extreme events revealed by GRACE and GRACE-FO Data sets

Updated 2 February 2023. This archive contains the key data files (including figure data) associated with: Rodell, M., and B. Li, 2023: Changing intensity of hydroclimatic extreme events revealed by GRACE and GRACE-FO, Nature Water, accepted. Figure1_time_series_data.xlsx – Data used to create the 14 inset time series plots in Figure 1. fig1_extents.zip – Contains spatial data used to create the "Top wet events" and "Top dry events" maps in Figure 1, in both text and NetCDF formats. Figure2_data.xlsx – Time series data used to create Figure 2. Figure3a_Koeppen-Geiger-ASCII.zip - Contains a text data file of spatial data (latitude, longitude, class) used to create the climate class map in Figure 1.  Note that only the main climates (first letter of class code) are used: A = Tropical, B = Dry, C = Temperate, D = Continental, E = Polar (no data).  See http://koeppen-geiger.vu-wien.ac.at/present.htm for details. Figure3bc_data.xlsx – Time series data used to create Figures 3b and 3c. Figure4_data.xlsx – Location, year, and intensity data used to create the maps in Figure 4. all_event_intensity.xlsx - Contains the centroid location (longitude and latitude), year, and intensity (km3mo) of all 505 wet extreme events and 551 dry extreme events identified and analyzed in this study. Source data and code used in this study are available as follows. Data Availability The GRACE/FO products (CSR GRACE/GRACE-FO RL06 Mascon Solutions, version 02) used in our analyses are available from the University of Texas Center for Space Research (https://www2.csr.utexas.edu/grace/RL06_mascons.html).  The output from a global GRACE/FO data assimilating instance of the Catchment land surface model (GRACEDADM_CLSM025GL_7D 3.0) used to fill the 11-month gap between the GRACE and GRACE-FO missions and 18 additional missing months is available from the Goddard Earth Sciences Data and Information Services Center (https://disc.gsfc.nasa.gov/datasets/GRACEDADM_CLSM025GL_7D_3.0/).  The climate oscillation indicator data can be downloaded from the NOAA Physical Sciences Laboratory (https://psl.noaa.gov/data/climateindices/list/ and https://psl.noaa.gov/gcos_wgsp/Timeseries/DMI/).  The global mean temperature data are available from the NASA Goddard Institute for Space Studies (https://data.giss.nasa.gov/gistemp/).    Köppen-Geiger climate map data are available for download from http://koeppen-geiger.vu-wien.ac.at/present.htm. Code Availability The python code for the ST-DBSCAN clustering algorithm was obtained from the Github repository, https://github.com/gitAtila/ST-DBSCAN.  Statistical analyses were performed and figures were generated using NCL software.

Data set and pseudo-code for publication 10.5194/amt-2022-250

This is the data and example software code for the publication: New Absolute Cavity Pyrgeometer equation by application of Kirchhoff’s law and adding a convection term by Forgan et al., 2023, https://doi.org/10.5194/amt-2022-250

Data set from Fischertechnik Smart Factory Model at University of St.Gallen (Custom Python Configuration)

This is about 60 mins worth of data collected from Fischertechnik Industry 9.0V smart factory model available at the University of St.Gallen. In this data set, we used a custom Python-based software stack to control the smart factory via a business process system (Camunda Platform) that calls the functionality of the smart factory via web services implemented in Python flask. MQTT is used to collect the data. Each entry in the file (low-level_log_20230206-140808.txt) corresponds to one message (as JSON object) received on a specific topic via MQTT. Each line contains all the readings of all the sensors, actuators and additional data from one CPS component (i.e., production station) at one point in time. The data set contains the following files <ul> <li>low-level_log_20230206-140808.txt: low-level IoT data from all the sensors and actuators <ul> <li>*.bpmn: executable BPMN 2.0 models of three different processes that have been executed several times via the Camunda Platform BPM system to control the smart factory</li> </ul> </li> <li>camunda_process-instance.json: event log generated by the BPM system regarding the process instance execution</li> <li>camunda_activity-instance.json: event log generated by the BPM system regarding the activity instance execution</li> </ul> Check the following publications to learn more about our research using the model factory: Malburg, L., Seiger, R., Bergmann, R., & Weber, B. (2020). Using physical factory simulation models for business process management research. In Business Process Management Workshops: BPM 2020 International Workshops, Seville, Spain, September 13–18, 2020, Revised Selected Papers 18 (pp. 95-107). Springer International Publishing. Seiger, R., Zerbato, F., Burattin, A., García-Bañuelos, L., & Weber, B. (2020, October). Towards iot-driven process event log generation for conformance checking in smart factories. In 2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW) (pp. 20-26). IEEE. Seiger, R., Malburg, L., Weber, B., & Bergmann, R. (2022). Integrating process management and event processing in smart factories: A systems architecture and use cases. Journal of Manufacturing Systems, 63, 575-592.

opencc-by-sa-4.0Dec 2022View details →

WorldCereal open global harmonized reference data repository (CC-BY-SA licensed data sets)

Within the ESA funded WorldCereal project we have built an open harmonized reference data repository at global extent for model training or product validation in support of land cover and crop type mapping. Data from 2017 onwards were collected from many different sources and then harmonized, annotated and evaluated. These steps are explained in the harmonization protocol (10.5281/zenodo.7584463). This protocol also clarifies the naming convention of the shape files and the WorldCereal attributes (LC, CT, IRR, valtime and sampleID) that were added to the original data sets. This publication includes those harmonized data sets of which the original data set was published under the CC-BY-SA license or a license similar to CC-BY-SA. See document "_In-situ-data-World-Cereal - license - CC-BY-SA.pdf" for an overview of the original data sets.

WorldCereal open global harmonized reference data repository (CC-BY licensed data sets)

Within the ESA funded WorldCereal project we have built an open harmonized reference data repository at global extent for model training or product validation in support of land cover and crop type mapping. Data from 2017 onwards were collected from many different sources and then harmonized, annotated and evaluated. These steps are explained in the harmonization protocol (10.5281/zenodo.7584463). This protocol also clarifies the naming convention of the shape files and the WorldCereal attributes (LC, CT, IRR, valtime and sampleID) that were added to the original data sets. This publication includes those harmonized data sets of which the original data set was published under the CC-BY license or a license similar to CC-BY. See document "_In-situ-data-World-Cereal - license - CC-BY.pdf" for an overview of the original data sets.

opencc-by-sa-4.0Feb 2023View details →

Nudging Repository – Set of Nudges (DyMoN Project)

This file provides the DyMoN nudging repository that is a set of digital behaviour change techniques (i.e., nudges) which are suitable to be used as push notifications for a mobile application in order to motivate sustainable mobility (walking, bicycling, public transport).

Data sets: Resolving local microstructure variations in Zr tubes using EBSD and imaging

SEM images and EBSD CTF files. CTF files contain measured Euler Angles that can be used for replicating all figures presented in the paper.

A near-field Head-Related Transfer Function (HRTF) data set of KEMAR with high distance resolution

A near-field Head-Related Transfer Function (HRTF) data set measured on a KEMAR head and torso simulator with high distance resolution and multiple elevations is presented ('KEMAR_NFHRIRmea_1cm.sofa'). HRTFs are measured at 83448 spatial points at distances ranging from 20 to 110 cm, elevations from -25° to 35°, and azimuths from 0° to 355°. The distance resolution of the HRTF data is 1 cm, higher than that of any existing public near-field HRTF databases. Therefore, the dataset enables further exploration of the distance dependence of near-field HRTFs, and is beneficial for applications of realistic and dynamic binaural rendering of nearby sound sources. An additional data set of simulated HRTFs with 1.5 cm distance resolution is also provided ('KEMAR_NFHRIRsim_1.5cm.sofa') for a direct comparison with the measured HRTFs or other purposes.