cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7997270
title: Clinimetrics of the cognitive section of the Italian ALS Cognitive Behavioral Screen (ALS-CBS™)

description: Dataset associated with the paper: "Clinimetrics of the cognitive section of the Italian ALS Cognitive Behavioral Screen (ALS-CBS™)".
DOI: 10.57724/jci_19960101_mag
title: Historical series of geomagnetism at the Spanish Antarctic Station Juan Carlos I since 1996
DOI: 10.6084/m9.figshare.22284004
title: Supplementary Material for: Definitive liver radiotherapy for intrahepatic cholangiocarcinoma with extrahepatic metastases

description: Introduction: Tumor-related liver failure (TRLF) is the most common cause of death in patients with intrahepatic cholangiocarcinoma (ICC). Though we previously showed that liver radiotherapy (L-RT) for locally advanced ICC is associated with less frequent TRLF and longer overall survival (OS), the role of L-RT for patients with extrahepatic metastatic disease (M1) remains undefined. We sought to compare outcomes for M1 ICC patients treated with and without L-RT. Methods: We reviewed ICC patients found to have M1 disease at initial diagnosis at a single institution between 2010 and 2021 who received L-RT, matching them with an institutional cohort by propensity score and a National Cancer Database (NCDB) cohort by frequency technique. The median biologically effective dose (BED10) was 98 Gy (interquartile range [IQR] 80.5-97.9 Gy) for L-RT. Patients treated with other local therapies or supportive care alone were excluded. We analyzed survival with Cox proportional hazards modeling. Results: We identified 61 patients who received L-RT and 220 who received chemotherapy alone. At median follow up of 11 months after diagnosis, median OS was 9 months (95% confidence interval [CI] 8-11) and 21 months (CI 17-26) for patients receiving chemotherapy alone and L-RT, respectively. TRLF was the cause of death more often in the patients who received chemotherapy alone compared to those who received L-RT (82% vs. 47%; P=0.001). On multivariable propensity-score matched analysis, associations with lower risk of death included duration of upfront chemotherapy (hazard ratio [HR] 0.82; P=0.005) and receipt of L-RT (HR 0.40; P=0.002). The median OS from diagnosis for NCDB chemotherapy alone cohort was shorter than that of the institutional L-RT cohort (9 vs. 22 months; P&lt;0.001). Discussion/Conclusion: For M1 ICC, L-RT associated with a lower rate of death due to TRLF and longer OS vs. those treated with chemotherapy alone. Prospective studies of L-RT in this setting are warranted.
DOI: 10.6084/m9.figshare.22284004.v1
title: Supplementary Material for: Definitive liver radiotherapy for intrahepatic cholangiocarcinoma with extrahepatic metastases

description: Introduction: Tumor-related liver failure (TRLF) is the most common cause of death in patients with intrahepatic cholangiocarcinoma (ICC). Though we previously showed that liver radiotherapy (L-RT) for locally advanced ICC is associated with less frequent TRLF and longer overall survival (OS), the role of L-RT for patients with extrahepatic metastatic disease (M1) remains undefined. We sought to compare outcomes for M1 ICC patients treated with and without L-RT. Methods: We reviewed ICC patients found to have M1 disease at initial diagnosis at a single institution between 2010 and 2021 who received L-RT, matching them with an institutional cohort by propensity score and a National Cancer Database (NCDB) cohort by frequency technique. The median biologically effective dose (BED10) was 98 Gy (interquartile range [IQR] 80.5-97.9 Gy) for L-RT. Patients treated with other local therapies or supportive care alone were excluded. We analyzed survival with Cox proportional hazards modeling. Results: We identified 61 patients who received L-RT and 220 who received chemotherapy alone. At median follow up of 11 months after diagnosis, median OS was 9 months (95% confidence interval [CI] 8-11) and 21 months (CI 17-26) for patients receiving chemotherapy alone and L-RT, respectively. TRLF was the cause of death more often in the patients who received chemotherapy alone compared to those who received L-RT (82% vs. 47%; P=0.001). On multivariable propensity-score matched analysis, associations with lower risk of death included duration of upfront chemotherapy (hazard ratio [HR] 0.82; P=0.005) and receipt of L-RT (HR 0.40; P=0.002). The median OS from diagnosis for NCDB chemotherapy alone cohort was shorter than that of the institutional L-RT cohort (9 vs. 22 months; P&lt;0.001). Discussion/Conclusion: For M1 ICC, L-RT associated with a lower rate of death due to TRLF and longer OS vs. those treated with chemotherapy alone. Prospective studies of L-RT in this setting are warranted.
DOI: 10.5281/zenodo.7337197
title: Randomly Distributed Crab Burrows Enhance Groundwater Flow and Salt Transport in Creek-Marsh Systems

description: This dataset contains SUTRA input file and training image that used in our research paper "Randomly Distributed Crab Burrows Enhance Groundwater Flow and Salt Transport in Creek-Marsh Systems".
DOI: 10.5281/zenodo.7997272
title: Randomly Distributed Crab Burrows Enhance Groundwater Flow and Salt Transport in Creek-Marsh Systems

description: This dataset contains SUTRA input file and training image that used in our research paper "Randomly Distributed Crab Burrows Enhance Groundwater Flow and Salt Transport in Creek-Marsh Systems".
DOI: 10.5281/zenodo.7337196
title: Randomly Distributed Crab Burrows Enhance Groundwater Flow and Salt Transport in Creek-Marsh Systems

description: This dataset contains SUTRA input file and training image that used in our research paper "Randomly Distributed Crab Burrows Enhance Groundwater Flow and Salt Transport in Creek-Marsh Systems".
DOI: 10.5519/qd.2356sf44
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (14 records)
DOI: 10.5281/zenodo.3667562
title: The AUTOTYP database

description: AUTOTYP is a large-scale research program with goals in both quantitative and qualitative typology. This release contains selected aggregated data from the AUTOTYP databases along with metadata and documentation. Please cite as Bickel, Balthasar, Johanna Nichols, Taras Zakharko, Alena Witzlack-Makarevich, Kristine Hildebrandt, Michael Rießler, Lennart Bierkandt, Fernando Zúñiga & John B. Lowe. 2017. <em>The AUTOTYP typological databases</em>. Version 0.1.0. DOI 10.5281/zenodo.3667562
description: {"references": ["Bickel, Balthasar & Johanna Nichols. 2002. Autotypologizing databases and their use in fieldwork. In Peter Austin, Helen Dry & Peter Wittenburg (eds.), Proceedings of the International LREC Workshop on Resources and Tools in Field Linguistics, Las Palmas, 26-27 May 2002. Nijmegen: MPI for Psycholinguistics", "Bickel, Balthasar & Johanna Nichols. 2006. Oceania, the pacific rim, and the theory of linguistic areas. Proc. Berkeley Linguistics Society 32. 3\u201315."]}
DOI: 10.17632/m323fk6fhg.1
title: VR SMIBTP

description: Data and code for "Use of a virtual reality tool to provide primary prevention training following a systematic medical visit in the construction sector"
DOI: 10.18154/rwth-2021-02814
title: Zeitreihendaten eines Fahrzyklus-Alterungstests von 28 Hochenergie NCA/C+Si Rundzellen des Typs 18650
title: Timeseries data of a drive cycle aging test of 28 high energy NCA/C+Si round cells of type 18650

description: doi:10.18154/RWTH-2021-02814
description: This dataset contains timeseries data (time, current, voltage, temperature) of a drive cycle aging test of 28 18650 high energy NCA/C+Si round cells. The aging test was conducted with all cells at the same aging condition at room temperature. The cells were cycled individually but with the same profile. They were charged with a CCCV regime and discharged using a recorded drive cycle profile. Regular check-ups every 30 cycles are also included in the data. The dataset consists of 4 files. The file TimeSeriesData.zip contains ZIP files with individual .csv files with the time series data for every tested cell. The file OverviewFigures.zip contains .png files giving an overview of the test data for every tested cell. The file Metadata.pdf contains information about the test setup, data and license. The file PreviewFiguresDocument.pdf contains the overview figures of all cells in one document.
DOI: 10.5281/zenodo.7764369
title: Evaluating impacts of non-native submerged aquatic vegetation on native nekton

description: These data accompany the publication of the same name. We performed a quantitative meta-analysis to quantify impacts of non-native submerged aquatic vegetation on native crabs, fishes, and shrimps in coastal, estuarine, and marine systems. We found that nekton abundance, species richness, and biomass were the most assessed metrics of nekton performance. We extracted data from 35 studies and evaluated 11 response metrics related to inter-specific facilitation, restricting our analysis to studies that compared at least one of these metrics in nekton from co-occurring native and non-native SAV habitats in marine, coastal, or estuarine systems.
DOI: 10.5281/zenodo.3899803
title: The AUTOTYP database

description: AUTOTYP is a large-scale research program with goals in both quantitative and qualitative typology. This release contains the full raw data from the AUTOTYP databases along with metadata, aggregated datasets and aggregation scripts. Please cite as: Bickel, Balthasar, Nichols, Johanna, Zakharko, Taras, Witzlack-Makarevich, Alena, Hildebrandt, Kristine, Rießler, Michael, Bierkandt, Lennart, Zúñiga, Fernando & Lowe, John B. 2022. The AUTOTYP database (v1.1.1). https://doi.org/10.5281/zenodo.7976754 <strong>Release 1.1.1 summary</strong> - Improved CLDF export for the dataset `MaximallyInflectedVerbSynthesis` Many thanks to Robert Forkel for this contribution!
DOI: 10.6084/m9.figshare.22210624.v1
title: Supplementary Material for: Socially assistive robots for people living with dementia in long-term facilities: A systematic review and meta-analysis of randomized controlled trials

description: Background and Objective: The purpose of our study was to explore the immediate and long-term effects of socially assistive robots (SARs) on neuropsychiatric symptoms (NPS), behavioral and psychological symptoms of dementia (BPSD), positive emotional experiences, and social interaction in older people living with dementia. Methods: We set keywords and used Boolean operators to search the CINAHL, Cochrane Library, EMBASE, IEEE Digital Library, MEDLINE, PsycINFO, PubMed, Web of Science, Scopus, and Chinese Electronic Periodical Service from inception to February 2022 for randomized controlled trials. The Cochrane Collaboration bias assessment tool was used to assess article quality, and RevMan 5.4.1 software was used to conduct the meta-analysis. Results: A total of 14 studies were included in the meta-analysis. SARs can help people living with dementia reduce their NPS of depression and anxiety, provide happiness from positive emotional experiences, and improve their social interaction through conversation. However, there was no significant improvement in agitation behavior, overall BPSD, or quality of life in people living with dementia. In follow-up, it was found that the effect of SRT was limited. Conclusion: Socially assistive robots can reduce depression and increase positive emotions in people living with dementia. They may also reduce the burden on healthcare workers during the COVID-19 pandemic. Registration number: PROSPERO CRD42020169340.
DOI: 10.15151/esrf-es-1118655532
title: The Iberian cryoEM community BAG

description: The Iberian cryoEM BAG is a large consortium (&gt; 30 groups) composed of Portuguese and Spanish groups working in biologically relevant problems including disease related metabolic enzymes, antibiotic resistance, DNA replication and DNA maintenance, protein synthesis, virus structure and mechanisms, and macromolecular complexes involved in the control of key cellular processes like protein folding and degradation.
DOI: 10.17632/y84tbnfsj4.1
title: Robust Arduino controlled spin coater using a novel and simple gravity chuck design

description: Spin coaters offer an invaluable method of thin film fabrication. Various implementations, both proprietary and open-source exist, offering vacuum and gravity samples chucks. These implementations vary in their reliability, ease-of-use, cost, and versatility. Here we present a novel easy-to-use open-source gravity-chuck type spin coater with minimal points of failure at a material cost of around 100 USD (1500 ZAR). The unique chuck design makes use of interchangeable brass plate sample masks, each specific to a sample size, these can be made with basic skills and common hand tools. In comparison, replacement chucks for commercial alternatives can cost as much as the entire spin coater we present. Open-source hardware such as this provides an example for individuals in the field on the design and development of hardware where reliability, cost, and flexibility are most important, as is the case for many institutions in developing countries.
DOI: 10.17632/sm32n7ms8h.1
title: Gene-by-environment interactions are widespread among natural genetic variants

description: Supplementary data files for article "Gene-by-environment interactions are pervasive among natural genetic variants". Files include Sanger sequencing data validating edited strains.
DOI: 10.17632/p9zk52xb7h.1
title: Neoproterozoic to early Paleozoic crustal growth, recycling, and the changing geodynamics of north Gondwana

description: This dataset includes a combination of bulk-rock geochemistry, magmatic and detrital zircon geochronology, zircon trace element, and O-Hf isotope data to probe the Ediacaran-early Paleozoic magmatic history of northern Gondwana.
DOI: 10.17632/mddgvw63x5.1
title: Ongoing Thoughts in Autism

description: data1.csv: Data for understanding the relationship between ongoing thoughts, group, N-back condition and Autism Quotient scores. Ongoing thought scores are given for both individual experience sampling items and for PCA solutions (e.g. thoughts_fac1).

data2.csv: Data for understanding the relationship between task performance, group, N-back condition and ongoing thoughts.
DOI: 10.5281/zenodo.7849861
title: Biological characterization of an emergent virus infecting vegetables in diversified production systems: physostegia chlorotic mottle virus

description: These data were used for the following paper: https://www.biorxiv.org/content/10.1101/2023.04.03.535357v2
DOI: 10.5281/zenodo.7849859
title: Biological characterization of an emergent virus infecting vegetables in diversified production systems: physostegia chlorotic mottle virus

description: These data were used for the following paper: https://www.biorxiv.org/content/10.1101/2023.04.03.535357v2
DOI: 10.5281/zenodo.4608417
title: Test upload

description: Test upload
DOI: 10.5281/zenodo.4608416
title: Test upload

description: Test upload
DOI: 10.5281/zenodo.7915752
title: Machine learning enabled identification of sheet metal localization

description: Data and Machine Learning codes for: <strong>Machine learning enabled identification of sheet metal localization</strong> Journal: <strong>International Journal of Solids and Structures</strong> <strong>Abstract</strong>: The Forming Limit Curve (FLC), which describes the maximum applicable strain before localization, depends on the particular material, but also on the applied load and history of the load. Recent investigations have shown that the non-<br> proportional loading effect on the FLC can be predicted with data-driven or machine-learning-based methods. Here<br> we compare different ML methods to their applicability in predicting localization point under multi-segmented non-<br> proportional loading. Therefore, a FE-based metamodel is developed that allows imposing an arbitrary loading history<br> on a sheet metal to predict the point of localization. A series of virtual experiments are conducted with this metamodel<br> to generate a database of bi-linear loading paths that are used for training. Different ML-based methods were used<br> to predict the localization point based on the strain history data. The 1D-Convolutional Neural Network (1D-CNN),<br> with an ability to learn dependency between input features, has the best accuracy in predicting the localization point.
DOI: 10.5281/zenodo.7915753
title: Machine learning enabled identification of sheet metal localization

description: Data and Machine Learning codes for: <strong>Machine learning enabled identification of sheet metal localization</strong> Journal: <strong>International Journal of Solids and Structures</strong> <strong>Abstract</strong>: The Forming Limit Curve (FLC), which describes the maximum applicable strain before localization, depends on the particular material, but also on the applied load and history of the load. Recent investigations have shown that the non-<br> proportional loading effect on the FLC can be predicted with data-driven or machine-learning-based methods. Here<br> we compare different ML methods to their applicability in predicting localization point under multi-segmented non-<br> proportional loading. Therefore, a FE-based metamodel is developed that allows imposing an arbitrary loading history<br> on a sheet metal to predict the point of localization. A series of virtual experiments are conducted with this metamodel<br> to generate a database of bi-linear loading paths that are used for training. Different ML-based methods were used<br> to predict the localization point based on the strain history data. The 1D-Convolutional Neural Network (1D-CNN),<br> with an ability to learn dependency between input features, has the best accuracy in predicting the localization point.
DOI: 10.34740/kaggle/ds/3351099
title: Arabidopsis thaliana uORF
DOI: 10.5281/zenodo.5673974
title: Embedding Evaluation Data for South African Languages

description: <strong>WordSim and Simlex Data for South African Languages</strong> Setswana Sepedi <strong>Embedding Evaluation Data for South African Languages</strong> <strong>Dataset Information\</strong> The datasets(Simlex and WordSim) contain pairs of Setswana and Sepedi words that have been assigned similarity ratings by humans to measure semantic relatedness. The word-pairs(Simlex and WordSim) are manually translated from English to Setswana and Sepedi. The evaluation task aims to find the degree of correlation between the scores provided by the model and the human rating, the score of the model is collected by computing the cosine similarity of corresponding vectors for word pairs. Online Repository link Zenodo Data Repository - Link to the data repository. Authors <strong>Vukosi Marivate</strong> - @vukosi <strong>Valencia Wagner</strong> <strong>Mack Makgatho</strong> <strong>Tshephisho Sefara</strong> See also the list of contributors who participated in this project. Citing the dataset To appear in conference proceedings @article{Makgatho_Marivate_Sefara_Wagner_2022, title={Training Cross-Lingual embeddings for Setswana and Sepedi}, <br> volume={3}, <br> url={https://upjournals.up.ac.za/index.php/dhasa/article/view/3822}, <br> DOI={10.55492/dhasa.v3i03.3822}, <br> number={03},<br> journal={Journal of the Digital Humanities Association of Southern Africa },<br> author={Makgatho, Mack and Marivate, Vukosi and Sefara, Tshephisho and Wagner, Valencia}, <br> year={2022}, <br> month={Feb.}}
DOI: 10.5281/zenodo.5673973
title: Embedding Evaluation Data for South African Languages

description: <strong>WordSim and Simlex Data for South African Languages</strong> Setswana Sepedi <strong>Embedding Evaluation Data for South African Languages</strong> <strong>Dataset Information\</strong> The datasets(Simlex and WordSim) contain pairs of Setswana and Sepedi words that have been assigned similarity ratings by humans to measure semantic relatedness. The word-pairs(Simlex and WordSim) are manually translated from English to Setswana and Sepedi. The evaluation task aims to find the degree of correlation between the scores provided by the model and the human rating, the score of the model is collected by computing the cosine similarity of corresponding vectors for word pairs. Online Repository link Zenodo Data Repository - Link to the data repository. Authors <strong>Vukosi Marivate</strong> - @vukosi <strong>Valencia Wagner</strong> <strong>Mack Makgatho</strong> <strong>Tshephisho Sefara</strong> See also the list of contributors who participated in this project. Citing the dataset To appear in conference proceedings @article{Makgatho_Marivate_Sefara_Wagner_2022, title={Training Cross-Lingual embeddings for Setswana and Sepedi}, <br> volume={3}, <br> url={https://upjournals.up.ac.za/index.php/dhasa/article/view/3822}, <br> DOI={10.55492/dhasa.v3i03.3822}, <br> number={03},<br> journal={Journal of the Digital Humanities Association of Southern Africa },<br> author={Makgatho, Mack and Marivate, Vukosi and Sefara, Tshephisho and Wagner, Valencia}, <br> year={2022}, <br> month={Feb.}}
DOI: 10.6084/m9.figshare.23283622
title: Mapping the mechanical properties of cobalt-based stellite alloys manufactured via blending

description: Stellite alloys have good wear resistance and maintain their strength up to ~ 600°C, making them suitable for various industrial applications like cutting tools and combustion engine parts. This investigation was aimed at i) manufacturing new Stellite alloy blends using powder metallurgy and ii) mathematically mapping hardness, yield strength, ductility and impact energy of base and alloy blends. Linear, exponential, polynomial approximations and dimensional analyses were conducted in this semi-empirical mathematical modelling approach. Base alloy compositions similar to Stellite 1, 4, 6, 12, 20 and 190 were used in this investigation to form new alloys via blends. The microstructure was analysed using Scanning Electron Microscopy (SEM) and X-ray Diffraction (XRD). Mechanical performance of alloys was conducted using tensile, hardness and Charpy impact tests. MATLAB® coding was used for the development of property maps. This investigation indicates that hardness and yield strength can be linked to the wt.% composition of carbon and tungsten using linear approximation with a maximum variance of 5% and 20%, respectively. Elongation and carbide fraction showed a non-linear relationship with alloy composition. Impact energy was linked with elongation through polynomial approximation. A dimensional analysis was developed by interlinking carbide fraction, hardness, yield strength, and elongation to impact energy.
DOI: 10.5519/qd.ig6vnhiq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (92 records)
DOI: 10.5519/qd.4zhs5fov
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (92 records)
DOI: 10.5281/zenodo.7875377
title: Evaluating the "Learning on Graphs" Conference Experience

description: This is the reproducibility material for the following manuscript: Bastian Rieck and Corinna Coupette. <em>Evaluating the "Learning on Graphs" Conference Experience.</em> 2023. arXiv: 2306.00586 [cs.LG].
DOI: 10.5281/zenodo.7875376
title: Evaluating the "Learning on Graphs" Conference Experience

description: This is the reproducibility material for the following manuscript: Bastian Rieck and Corinna Coupette. <em>Evaluating the "Learning on Graphs" Conference Experience.</em> 2023. arXiv: 2306.00586 [cs.LG].
DOI: 10.5519/qd.89fg8vj5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.5281/zenodo.7997343
title: Open Data for publication Influence of the Time Scale on the Reaction Mechanism of CO Oxidation over a Au/TiO2 Catalyst

description: The file contains the origianl raw data for publication: Influence of the Time Scale on the Reaction Mechanism of CO Oxidation over a Au/TiO2 Catalyst, Angewandte Chemie, 2023 The data contains the IR spectra of the CO2 signal, the IR spectra at different temepratures (modulation experiments) and the IR spectra for different modulation periods at 50 deg C (modulation experiments), as described in the publication.
description: The research was supported by the Swiss National Science Foundation, Grant Number 200020_214996