cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28720913.v1
title: Raw data for the article ''Radiation modification of Ni nanotubes by electrons"

description: The raw data were processed using Bruker’s official software tools “BACKGROUND” and “STRIP Kα2.” We attached analytical report, along with the original RAW files and the processed files after applying the BACKGROUND and STRIP Kα2 tools. These materials clearly demonstrate the direct relationship between the raw numerical arrays and the data used to construct the graphs in Figure 4. All data are provided for independent verification. We provide a simple and mathematically rigorous test for identity, which consists of normalizing one XRD file against another. If there were any identical segments between the files—of any length, including the entire scanning range—the resulting graph would contain horizontal line segments in the matching intervals. The absence of such segments clearly indicates no identity. Figure 2 in the analytical report confirms that none of the files compared are identical in any section. The report includes all relevant graphs and data to allow independent verification.
DOI: 10.6084/m9.figshare.12981530.v1
title: Data from "Temperature increases soil respiration across ecosystem types and soil development, but soil properties determine the magnitude of this effect"

description: R code and Data from "Dacal, M., Delgado-Baquerizo,M., Barquero, J., Berhe, A.A., Gallardo, A., Maestre, F. T. & García- Palacios, P. Temperature increases soil respiration across ecosystem types and soil development, but soil properties determine the magnitude of this effect. <i>Ecosystems</i>. DOI:https://doi.org/10.1007/s10021-021-00648-2"<br>There are three items: the first one (Dacal_et_al_2020_Rcode_final) contains the R code to perform the analyses. The second one (Dacal_et_al_2020_Rcode_readme) contains information about the R and all the packages' versions used in our study, whereas the third one (Dacal_et_al_2020_ResDATA_final) is the database. In the latter item there are two spreadsheets. The spreadsheet "DATA" contains the raw data at a microsite scale. The spreadsheet "METADATA" contains the associated metadata, where a description of all the variables and units can be found. All the methodological details can be found in the article.<br>
DOI: 10.25442/hku.16432935.v1
title: Supporting data for "highly-accelerated multi-shot diffusion-weighted imaging and multi-echo functional magnetic resonance imaging"

description: The supporting data is the diffusion and functional dataset from healthy subjects involved in the results of thesis entitled "highly-accelerated multi-shot diffusion-weighted imaging and multi-echo functional magnetic resonance imaging". The datasets are comprised of three folders, which contains data for the study described in chapter 3 (IVIM), chapter 4 (DTI) and chapter 5 (ME-fMRI). The diffusion data were acquired on a 1.5T GE scanner and the functional data were acquired on a 3T GE scanner. The IVIM data were acquired using 4-shot EPI with 17 b-values and the DTI data were acquired using 4-shot EPI with 64 directions. The diffusion data are k-space data and can be read using MATLAB. The functional data were multi-echo fMRI images (nifti format) reconstructed from three reconstruction algorithms, including SENSE and two proposed novel reconstruction frameworks based on parametric POCSMUSE and MUSE.
DOI: 10.6084/m9.figshare.26535952.v1
title: Best Practices for Fitting Machine Learning Interatomic Potentials for Molten Salts: A Case Study Using NaCl-MgCl<sub>2</sub>

description: This collection contains a series of data sets related to the article:Best Practices for Fitting Machine Learning Interatomic Potentials for Molten Salts: A Case Study Using NaCl-MgCl<sub>2</sub>
DOI: 10.17605/osf.io/sy8ec
title: Nutritional Status

description: Source: https://opendatasus.saude.gov.br/dataset/sisvan-estado-nutricional
DOI: 10.6084/m9.figshare.14410994.v3
title: Examination of gene loss in the DNA mismatch repair pathway and its mutational consequences in a fungal phylum

description: Supplementary data for "Examination of gene loss in the DNA mismatch repair pathway and its mutational consequences in a fungal phylum"<br>
DOI: 10.6084/m9.figshare.23300981.v1
title: synburst_test_2023.zip

description: Test set for the EagleSnap Competition 2023: RAW Burst Image Super Resolution - Track 1 & 2
DOI: 10.5281/zenodo.10061248
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.10244431
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.10448348
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.10603937
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.10730491
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.10902269
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.11096702
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.11408118
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.13378005
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.13624496
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.13866068
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.14021422
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.14252603
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.14584165
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.14784506
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.14949197
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.15118248
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.15315230
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.
DOI: 10.5281/zenodo.15568932
title: ARTigo: Social Image Tagging (Raw Data)

description: ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices.