cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4703954
title: Reliability Assessment for Exposure Data of ENM

description: Excel sheet for automated analysis
DOI: 10.5281/zenodo.4703953
title: Reliability Assessment for Exposure Data of ENM

description: Excel sheet for automated analysis
DOI: 10.5517/ccdc.csd.cc265pps
title: CCDC 2031265: Experimental Crystal Structure Determination

description: Related Article: Xiao-Fen Guan, Peng-Fei Shi, Miao-Miao Xue, Zhi-Xuan Fang, Li-Rong Yang, Wen-Min Wang|2021|J.Mol.Struct.|1233|129984|doi:10.1016/j.molstruc.2021.129984
DOI: 10.6084/m9.figshare.14447487
title: All supplementary files

description: Mental Health Status of Medical Workers During COVID-19
DOI: 10.6084/m9.figshare.14447487.v1
title: All supplementary files

description: Mental Health Status of Medical Workers During COVID-19
DOI: 10.6084/m9.figshare.12769853
title: REFRASE Simulation

description: <b>REFRASE Simulation data </b><br><br><b>REFRASE_SimMethod.zip:</b>Randomised parameter sets for all simulations. In each subfolder, the file 'ssh_param.mat' contains the solid spherical harmonic coefficients (low to high) and 'susmap.nii.gz' contains the susceptibility distribution used. For the first simulation, maps of all steps are included.<br><br><b>REFRASE_SimResults.zip:</b>Resulting susceptibility maps of all simulations, including conventional and REFRASE processing.The PHA_THRES_* subfolders contain results for each processed value of Q<sub>LC,min</sub>.
DOI: 10.6084/m9.figshare.12769853.v1
title: REFRASE Simulation

description: <b>REFRASE Simulation data </b><br><br><b>REFRASE_SimMethod.zip:</b>Randomised parameter sets for all simulations. In each subfolder, the file 'ssh_param.mat' contains the solid spherical harmonic coefficients (low to high) and 'susmap.nii.gz' contains the susceptibility distribution used. For the first simulation, maps of all steps are included.<br><br><b>REFRASE_SimResults.zip:</b>Resulting susceptibility maps of all simulations, including conventional and REFRASE processing.The PHA_THRES_* subfolders contain results for each processed value of Q<sub>LC,min</sub>.
DOI: 10.34740/kaggle/dsv/2138942
title: Dutch News Articles
DOI: 10.34740/kaggle/dsv/2132555
title: UK Car Brands Dataset
DOI: 10.6084/m9.figshare.14452680
title: Inferring the potential distribution of an emerging Rickettsiosis in America: The case of Rickettsia parkeri

description: Occurrence records of <i>R. parkeri</i> in America
DOI: 10.6084/m9.figshare.14452680.v1
title: Inferring the potential distribution of an emerging Rickettsiosis in America: The case of Rickettsia parkeri

description: Occurrence records of <i>R. parkeri</i> in America
DOI: 10.5281/zenodo.4704268
title: Resorcin[4]arene-based multidentate phosphate ligands with superior binding affinity for nanocrystal surfaces

description: Data underlying the figures in the publication “Resorcin[4]arene-based multidentate phosphate ligands with superior binding affinity for nanocrystal surfaces”, published in <em>Chemical Communications, </em>2021. Table of contents: 1. Fig 2b Titration Spectra 2. Fig 3a Fraction of Bound Oleate 3. Fig 4 <sup>31</sup>P-NMR Spectra
DOI: 10.5281/zenodo.4704267
title: Resorcin[4]arene-based multidentate phosphate ligands with superior binding affinity for nanocrystal surfaces

description: Data underlying the figures in the publication “Resorcin[4]arene-based multidentate phosphate ligands with superior binding affinity for nanocrystal surfaces”, published in <em>Chemical Communications, </em>2021. Table of contents: 1. Fig 2b Titration Spectra 2. Fig 3a Fraction of Bound Oleate 3. Fig 4 <sup>31</sup>P-NMR Spectra
DOI: 10.5517/ccdc.csd.cc22zj1n
title: CCDC 1935951: Experimental Crystal Structure Determination

description: Related Article: Na Zhang, Yong-Heng Xing, Feng-Ying Bai|2020|Cryst.Growth Des.|20|1838|doi:10.1021/acs.cgd.9b01553
DOI: 10.25919/229c-yh50
title: Parkes observations for project P1021 semester 2021APRS_01

description: We propose to continue our observations of PSR J1653-45, a 951-ms pulsar in a long, 1.5-yr orbit, which experiences apparent eclipses whose nature have yet to be fully understood. Binary pulsars are valuable objects of scientific study, allowing for multiple applications including tests of gravity, probes of the neutron star equation of state, and fossil records of stellar evolution. Long spin-period pulsars in binary systems are generally much rarer than faster-spinning `recycled’ pulsars, and represent an under-explored region of pulsar binary evolution. Based upon previous Parkes and ATCA proposals, our understanding of this pulsar has significantly increased. We have detected the pulsar in previously unexplored regions of its orbit, localised its position, and have constrained the start of the eclipse, such that a targeted campaign in the 2021APRS semester (during which the next eclipse is expected) will provide the breakthrough needed to solve and understand this pulsar. We therefore propose a high-cadence campaign with observations at least 1.4 times more sensitive than any previously recorded with Parkes during the eclipse. These observations will constrain the end of the eclipse and ensure that we detect the pulsar as early and often as possible, leading to a phase connected timing solution which will unlock the pulsar’s scientific potential. Through this, we hope to gain a greater understanding of this pulsar’s properties (as well as those of its companion) and how it fits into this under-explored class of unrecycled pulsar binaries.
DOI: 10.6084/m9.figshare.14452671
title: genotypes_MG.map

description: This dataset contains the MG's genotypes<br>
DOI: 10.6084/m9.figshare.14452650
title: genotypes_MG.ped

description: MG's genotypes <br>
DOI: 10.25919/mefz-c228
title: Parkes observations for project P1105 semester 2021APRS_01

description: We have re-processed all the observations in the Parkes pulsar data archive obtained during the first four years of the Parkes multibeam receiver and have developed a new artificial intelligence (AI) algorithm to investigate huge volume of candidates. Except for our previous detections, the latest results include 87 new fast radio burst (FRB) candidates with S/N above 7. These signals were only detected in a single beam of the receiver suggesting that they are unlikely to be terrestrial. Their dispersion measure (DM) excesses over the estimated Galactic DM place them at extragalactic distances. Using the Ultra Wideband Low (UWL) receiver we have opportunity to detect repeating signals from some of these FRB candidates. As all these signals were detected in the 20 cm band, the UWL provides the opportunity to observe stronger emission in other observing bands.
DOI: 10.6084/m9.figshare.14452653
title: phenotypes.txt

description: <b>Phenotypes of Murciano-Granadina goats</b>
DOI: 10.15468/jt47d4
title: Taxonomy of the North Moroccan and Iberian species of the subgenus Amblypteraca (Coleoptera: Tenebrionidae: Pimeliinae: Pimelia)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mas-Peinado, Paloma, Ruiz, José L., Merkl, Ottó, Buckley, David, García-París, Mario (2021): Taxonomy of the North Moroccan and Iberian species of the subgenus Amblypteraca (Coleoptera: Tenebrionidae: Pimeliinae: Pimelia). Zootaxa 4963 (3): 457-482, DOI: https://doi.org/10.11646/zootaxa.4963.3.4
DOI: 10.21942/uva.14452716
title: Belschak et al JOB 2020-SPSS Data Set.sav

description: The SPSS file includes the raw data as well as the generated variables. The word file explains the SPSS file and provides information on the data analyses. The data is NOT available for public use.<br>
DOI: 10.21942/uva.14452716.v1
title: Belschak et al JOB 2020-SPSS Data Set.sav

description: The SPSS file includes the raw data as well as the generated variables. The word file explains the SPSS file and provides information on the data analyses. The data is NOT available for public use.<br>
DOI: 10.6084/m9.figshare.14258585
title: Data of the article "Evolutionary history of mental glands in turtles reveals a single origin in an aquatic ancestor and recurrent losses independent of macrohabitat"

description: Input datasets and R script used for the analysis. The excel file "datasets_for_corHMM" contains the input datasets of mental gland (MG) status and habitat (HAB).The input file for the timetree can be found in Pereira et al. (2017) as a supplementary data. The timetree was re-named as "turtle_chrono.nwk" in our R script.<br>References:Pereira, A. G., Sterli, J., Moreira, F. R., & Schrago, C. G. (2017). Multilocus phylogeny and statistical biogeography clarify the evolutionary history of major lineages of turtles. Molecular Phylogenetics and Evolution, 113, 59-66.
DOI: 10.6084/m9.figshare.14178626
title: Multiple sequence alignments - PRD1-adenovirus lineage

description: This dataset includes the protein multiple sequence alignments and the character matrix used in the evolutionary analyses presented in our paper.<br>
DOI: 10.17637/rh.14452041
title: Data used in: Jeffress et al. - Oil-polluted sites in Trinidad serve as a parasite refuge for a livebearing fish

description: This file contains two worksheets. The first one contains the parasite records for all guppies (Poecilia reticulata) collected in 2019, while the second one contains the parasite record for all guppies collected in 2018.
DOI: 10.17637/rh.14452041.v1
title: Data used in: Jeffress et al. - Oil-polluted sites in Trinidad serve as a parasite refuge for a livebearing fish

description: This file contains two worksheets. The first one contains the parasite records for all guppies (Poecilia reticulata) collected in 2019, while the second one contains the parasite record for all guppies collected in 2018.
DOI: 10.5281/zenodo.4701334
title: CombinedAppliancesLab

description: The emissions of the combined appliances were recorded. A LED lamp, an induction cooker on 1000 W position and a desktop computer with a 80% load of the CPU were connected together. The harmonic emissions and the raw voltage and current are recorded with a LISN in the circuit on the phase.
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.4701333
title: CombinedAppliancesLab

description: The emissions of the combined appliances were recorded. A LED lamp, an induction cooker on 1000 W position and a desktop computer with a 80% load of the CPU were connected together. The harmonic emissions and the raw voltage and current are recorded with a LISN in the circuit on the phase.
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.4616358
title: SciGRID_gas INET_Raw

description: The INET_raw dataset is an outcome of the SciGRID_gas project The data set contains geographical and meta information on the European gas transport network. The data originats from an internet research of Wikipedia, gas transmission system operators fact sheets, maps, press releases and more. Hence, most of the data had to be extracted by hand. The data is being stored in both CSV and GeoJSON files.
DOI: 10.5281/zenodo.4704446
title: Renaissance Benchmark Results for OpenJDK, HotSpot and GraalVM

description: The Renaissance Benchmark Suite is an open source collaborative benchmark project where the community can propose and improve benchmark workloads. This archive contains a collection of benchmark results collected on multiple JVM implementations.<br> <br> The measurements in this archive were collected using OpenJDK 1.8.0-292, OpenJDK 11.0.11, HotSpot 1.8.0-291, HotSpot 11.0.11, and GraalVM 21.1.0-dev. Note that some of the versions involved are development versions !
DOI: 10.5281/zenodo.4704445
title: Renaissance Benchmark Results for OpenJDK, HotSpot and GraalVM

description: The Renaissance Benchmark Suite is an open source collaborative benchmark project where the community can propose and improve benchmark workloads. This archive contains a collection of benchmark results collected on multiple JVM implementations.<br> <br> The measurements in this archive were collected using OpenJDK 1.8.0-292, OpenJDK 11.0.11, HotSpot 1.8.0-291, HotSpot 11.0.11, and GraalVM 21.1.0-dev. Note that some of the versions involved are development versions !
DOI: 10.5281/zenodo.4704449
title: SciGRID_gas INET_Raw

description: The INET_raw dataset is an outcome of the SciGRID_gas project The data set contains geographical and meta information on the European gas transport network. The data originats from an internet research of Wikipedia, gas transmission system operators fact sheets, maps, press releases and more. Hence, most of the data had to be extracted by hand. The data is being stored in both CSV and GeoJSON files .
DOI: 10.5281/zenodo.4704469
title: SciGRID_gas INET_Raw

description: The INET_raw dataset is an outcome of the SciGRID_gas project The data set contains geographical and meta information on the European gas transport network. The data originats from an internet research of Wikipedia, gas transmission system operators fact sheets, maps, press releases and more. Hence, most of the data had to be extracted by hand. The data is being stored in both CSV and GeoJSON files .
DOI: 10.6084/m9.figshare.14447334
title: Recognition results

description: Ĵ进行数据验证
DOI: 10.6084/m9.figshare.14452425
title: Supplementary Material for: Posttreatment after Lenvatinib in Patients with Advanced Hepatocellular Carcinoma

description: <b><i>Background:</i></b> There is no standard posttreatment for patients with advanced hepatocellular carcinoma (HCC) in whom lenvatinib therapy has failed. This study aimed to investigate rates of migration to posttreatment after lenvatinib and to explore candidates for second-line agents in the patients with failed lenvatinib therapy. <b><i>Methods:</i></b> We retrospectively collected data on patients with advanced HCC who received lenvatinib as the first-line agent in 7 institutions. <b><i>Results:</i></b> Overall survival and progression-free survival (PFS) of 178 patients who received lenvatinib as the first-line agent were 13.3 months (95% confidence interval [CI], 11.5–15.2) and 6.7 months (95% CI, 5.6–7.8), respectively. Sixty-nine of 151 patients (45.7%) who discontinued lenvatinib moved on to posttreatment. The migration rates from lenvatinib to the second-line agent and from the second-line agent to the third-line agent were 41.7 and 44.4%, respectively. Based on multivariate analysis, response to lenvatinib (complete or partial response according to modified RECIST) and discontinuation of lenvatinib due to radiological progression, as well as male were associated with a significantly higher probability of migration to posttreatment after lenvatinib. On the other hand, alpha-fetoprotein levels of 400 ng/mL or higher was correlated with a significantly lower probability of migration to posttreatment after lenvatinib. Of 63 patients who received second-line systemic therapy, 53 (84.2%) were administered sorafenib. PFS, objective response rate (ORR), and disease control rate (DCR) for sorafenib treatment were 1.8 months (95% CI, 0.6–3.0), 1.8%, and 20.8%, respectively. According to the Cox regression hazard model, Child-Pugh class B significantly contributed to shorter PFS. PFS, ORR, and DCR of 22 patients who received regorafenib after lenvatinib in any lines were 3.2 months (range, 1.5–4.9 months), 13.6%, and 36.3%, respectively. Similarly, PFS, ORR, and DCR of 17 patients who received regorafenib after lenvatinib in the third-line (after sorafenib) were 3.8 months (range, 1.1–6.5 months), 17.6%, and 41.2%, respectively. <b><i>Conclusion:</i></b> Sorafenib may not be a candidate for use as a posttreatment agent after lenvatinib, according to the results of the present study. Regorafenib has the potential to become an appropriate posttreatment agent after lenvatinib.
DOI: 10.6084/m9.figshare.14452425.v1
title: Supplementary Material for: Posttreatment after Lenvatinib in Patients with Advanced Hepatocellular Carcinoma

description: <b><i>Background:</i></b> There is no standard posttreatment for patients with advanced hepatocellular carcinoma (HCC) in whom lenvatinib therapy has failed. This study aimed to investigate rates of migration to posttreatment after lenvatinib and to explore candidates for second-line agents in the patients with failed lenvatinib therapy. <b><i>Methods:</i></b> We retrospectively collected data on patients with advanced HCC who received lenvatinib as the first-line agent in 7 institutions. <b><i>Results:</i></b> Overall survival and progression-free survival (PFS) of 178 patients who received lenvatinib as the first-line agent were 13.3 months (95% confidence interval [CI], 11.5–15.2) and 6.7 months (95% CI, 5.6–7.8), respectively. Sixty-nine of 151 patients (45.7%) who discontinued lenvatinib moved on to posttreatment. The migration rates from lenvatinib to the second-line agent and from the second-line agent to the third-line agent were 41.7 and 44.4%, respectively. Based on multivariate analysis, response to lenvatinib (complete or partial response according to modified RECIST) and discontinuation of lenvatinib due to radiological progression, as well as male were associated with a significantly higher probability of migration to posttreatment after lenvatinib. On the other hand, alpha-fetoprotein levels of 400 ng/mL or higher was correlated with a significantly lower probability of migration to posttreatment after lenvatinib. Of 63 patients who received second-line systemic therapy, 53 (84.2%) were administered sorafenib. PFS, objective response rate (ORR), and disease control rate (DCR) for sorafenib treatment were 1.8 months (95% CI, 0.6–3.0), 1.8%, and 20.8%, respectively. According to the Cox regression hazard model, Child-Pugh class B significantly contributed to shorter PFS. PFS, ORR, and DCR of 22 patients who received regorafenib after lenvatinib in any lines were 3.2 months (range, 1.5–4.9 months), 13.6%, and 36.3%, respectively. Similarly, PFS, ORR, and DCR of 17 patients who received regorafenib after lenvatinib in the third-line (after sorafenib) were 3.8 months (range, 1.1–6.5 months), 17.6%, and 41.2%, respectively. <b><i>Conclusion:</i></b> Sorafenib may not be a candidate for use as a posttreatment agent after lenvatinib, according to the results of the present study. Regorafenib has the potential to become an appropriate posttreatment agent after lenvatinib.
DOI: 10.5281/zenodo.4704481
title: Behavioral Software Engineering - Example of psychometric evaluation with R

description: The present document provides an executable hands-on introductory psychometric validation example written for a behavioral software engineering audience. The present document is part of a paper: &gt; Daniel Graziotin, Per Lenberg, Robert Feldt, Stefan Wagner (2021): Behavioral Sofware Engineering: Methodological Introduction to Psychometrics. Work in Progress. Available: https://arxiv.org/abs/2005.09959 Even though it is as self-contained as possible, we recommend reading it after reading the paper. The present document is also a [R Markdown file](https://rmarkdown.rstudio.com). Its text version is interactive and can be executed directly in R Studio, making it completely reproducible.
DOI: 10.5281/zenodo.4704473
title: SciGRID_gas INET_Raw

description: The INET_raw dataset is an outcome of the SciGRID_gas project The data set contains geographical and meta information on the European gas transport network. The data originats from an internet research of Wikipedia, gas transmission system operators fact sheets, maps, press releases and more. Hence, most of the data had to be extracted by hand. The data is being stored in both CSV and GeoJSON files .
DOI: 10.6084/m9.figshare.14444780
title: conversionFactors_tailBioMech.csv

description: This contains the px to mm conversion factors determined for the lizard species involved in the study, using the force plate which can be seen in the videos<br><br>originally named "forcePlatePixeltoMM.xlsx" which might still occur in the R scripts. --&gt; adjust<br>
DOI: 10.6084/m9.figshare.14444786
title: TableS22_SuppMat_DataContributionTemplate.xlsx

description: This is the data sheet which allows other study groups to contribute to this lizard tail biomechanics study. It explains the variables and meta data needed and states naming conventions.We hope to facilitate collaboration on this study with this.<br>
DOI: 10.6084/m9.figshare.14444777
title: Lizards_habitats.csv

description: This dataset contains the habitats for the lizard species included in our study <br>
DOI: 10.6084/m9.figshare.14444786.v1
title: TableS22_SuppMat_DataContributionTemplate.xlsx

description: This is the data sheet which allows other study groups to contribute to this lizard tail biomechanics study. It explains the variables and meta data needed and states naming conventions.We hope to facilitate collaboration on this study with this.<br>
DOI: 10.6084/m9.figshare.14444771
title: TailMasses.csv

description: This dataset contains the tail specific meta data for all lizards included in the multi-species study. It contains variables like tail center of mass, body center off mass, tail mass estimates etc. Details on how these were calculated can be found in our paper.<br>
DOI: 10.6084/m9.figshare.14444774
title: step_wise_summary_tails_ALL_R.xlsx

description: This is the output generated from the DOKA python script, already amended with the meta data for the lizards (hence results after running step 1 of momentum_analysis_stepwise*.R)<br>
DOI: 10.6084/m9.figshare.14444777.v1
title: Lizards_habitats.csv

description: This dataset contains the habitats for the lizard species included in our study <br>
DOI: 10.6084/m9.figshare.14444771.v1
title: TailMasses.csv

description: This dataset contains the tail specific meta data for all lizards included in the multi-species study. It contains variables like tail center of mass, body center off mass, tail mass estimates etc. Details on how these were calculated can be found in our paper.<br>
DOI: 10.6084/m9.figshare.14444774.v1
title: step_wise_summary_tails_ALL_R.xlsx

description: This is the output generated from the DOKA python script, already amended with the meta data for the lizards (hence results after running step 1 of momentum_analysis_stepwise*.R)<br>
DOI: 10.6084/m9.figshare.14444780.v2
title: conversionFactors_tailBioMech.csv

description: This contains the px to mm conversion factors determined for the lizard species involved in the study, using the force plate which can be seen in the videos<br><br>originally named "forcePlatePixeltoMM.xlsx" which might still occur in the R scripts. --&gt; adjust<br>
DOI: 10.6084/m9.figshare.14444780.v1
title: Untitled Item

description: This contains the px to mm conversion factors determined for the lizard species involved in the study, using the force plate which can be seen in the videos<br><br>originally named "forcePlatePixeltoMM.xlsx" which might still occur in the R scripts. --&gt; adjust<br>