cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14179448
title: MAGs from the Chesapeake and Delaware Bay water samples.xlsx

description: We are presenting MAGs assembled from metagenomes from Chesapeake and Delaware Bay water samples
DOI: 10.6084/m9.figshare.14179448.v1
title: MAGs from the Chesapeake and Delaware Bay water samples.xlsx

description: We are presenting MAGs assembled from metagenomes from Chesapeake and Delaware Bay water samples
DOI: 10.5281/zenodo.3549844
title: Dataset for poster presentation: Lattice Boltzmann Modelling of Water Transport in Hydrates Agglomerates

description: This dataset supports the results included in the poster presentation 'Lattice Boltzmann Modelling of Water Transport in Hydrates Agglomerates’, MN Borg, DA Faux, PJ McDonald, at the 39th Cement and Concrete Science Conference, 9-10 September 2019, University of Bath, UK. See the folder "Metadata" for details of the dataset. It is well known that sorption hysteresis and first cycle irreversibility exists for cement materials. Experiments show that cement microstructure is dynamic both during and after de/sorption. The Lattice Boltzmann (LB) method is a robust technique to simulate fluid (liquid and vapour) transport in porous materials. This work aims to simulate drying and wetting of model hydrate microstructures through repetitive de/sorption cycles using LB. The dataset provides initial validation of LB methods needed to study the microstructural rearrangement of cement gel during sorption cycles. The conference proceedings are published by University of Bath in association with Cementitious Materials Group, Institute of Materials Minerals and Mining, London, UK. https://researchportal.bath.ac.uk/en/publications/39th-cement-and-concrete-science-conference-2019 https://purehost.bath.ac.uk/ws/portalfiles/portal/197842011/39th_Cement_and_Concrete_Science_Conference_2019.pdf
DOI: 10.5281/zenodo.3549843
title: Dataset for poster presentation: Lattice Boltzmann Modelling of Water Transport in Hydrates Agglomerates

description: This dataset supports the results included in the poster presentation 'Lattice Boltzmann Modelling of Water Transport in Hydrates Agglomerates’, MN Borg, DA Faux, PJ McDonald, at the 39th Cement and Concrete Science Conference, 9-10 September 2019, University of Bath, UK. See the folder "Metadata" for details of the dataset. It is well known that sorption hysteresis and first cycle irreversibility exists for cement materials. Experiments show that cement microstructure is dynamic both during and after de/sorption. The Lattice Boltzmann (LB) method is a robust technique to simulate fluid (liquid and vapour) transport in porous materials. This work aims to simulate drying and wetting of model hydrate microstructures through repetitive de/sorption cycles using LB. The dataset provides initial validation of LB methods needed to study the microstructural rearrangement of cement gel during sorption cycles. The conference proceedings are published by University of Bath in association with Cementitious Materials Group, Institute of Materials Minerals and Mining, London, UK. https://researchportal.bath.ac.uk/en/publications/39th-cement-and-concrete-science-conference-2019 https://purehost.bath.ac.uk/ws/portalfiles/portal/197842011/39th_Cement_and_Concrete_Science_Conference_2019.pdf
DOI: 10.6084/m9.figshare.14171255
title: Exploration of Characteristic Temperature Contributions to Metallic Glass Forming Ability

description: Research for machine learning on the liquidus, onset to crystallization, and glass transition temperatures to determine the critical casting diameter for 747 compositions.
DOI: 10.6084/m9.figshare.14179526
title: Latin American science, technology, and society: a historical and reflexive approach

description: The paper deals with the emergence and development the STS field in Latin America, from the sixties on. After an introductory section containing some considerations on the maturation of and approaches to STS in the region, the paper delves into cognitive, institutional, political and social dimensions of the development of this field. It gives then some background, mentioning policies as drivers of knowledge generation, the institutionalization of social studies of science and technology, and STS training. An individual section deals with journals and congresses as spaces for interaction. A chronology of the STS field’s development in Latin America is followed by a brief examination of the role of the STS field in contemporary Latin America. It is argued that researchers belonging to this community are in a good position to critically analyze the current relations between science and society, to assist decision-makers and help the public understand the implications of present-day technoscientific change, as well as to support the development of fairer, more equitable solutions to combat the challenges of today’s changing world. It goes without saying that, far from having reached maturity, this is a space in a permanent state of construction.
DOI: 10.6084/m9.figshare.14179526.v1
title: Latin American science, technology, and society: a historical and reflexive approach

description: The paper deals with the emergence and development the STS field in Latin America, from the sixties on. After an introductory section containing some considerations on the maturation of and approaches to STS in the region, the paper delves into cognitive, institutional, political and social dimensions of the development of this field. It gives then some background, mentioning policies as drivers of knowledge generation, the institutionalization of social studies of science and technology, and STS training. An individual section deals with journals and congresses as spaces for interaction. A chronology of the STS field’s development in Latin America is followed by a brief examination of the role of the STS field in contemporary Latin America. It is argued that researchers belonging to this community are in a good position to critically analyze the current relations between science and society, to assist decision-makers and help the public understand the implications of present-day technoscientific change, as well as to support the development of fairer, more equitable solutions to combat the challenges of today’s changing world. It goes without saying that, far from having reached maturity, this is a space in a permanent state of construction.
DOI: 10.25625/edotrq
title: Test2

description: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/JWMCXY
DOI: 10.21250/db13
title: OCR text derived from digitised books published 1900 - c. 1946. ALTO XML.

description: Unfortunately we are unable to make this dataset available due to copyright reasons.

This set consists 1251 volumes, published between 1900-1946.

The dataset comprises text from the collection of digitised books created using Optical Character Recognition (OCR) technology. The books cover a wide range of subject areas including philosophy, history, poetry and literature. The dataset is in Analysed Layout and Text Object (ALTO) Extensible Markup Language (XML) format. However, please note we are unable to release this dataset due to licensing restrictions.
DOI: 10.5281/zenodo.4576996
title: Replication Package for the Multilayered Review of Safety Approaches for Machine Learning-based Systems in the Days of AI

description: This package contains supplementary material for the paper "Multilayered Review of Safety Approaches for Machine Learning-based Systems in the Days of AI". In particular, we provide: The literature review protocol The search strings for each database Excel file containing all the motivational, primary, and secondary studies and their categorization README file explaining the content of each of the above-mentioned files
DOI: 10.5281/zenodo.4576995
title: Replication Package for the Multilayered Review of Safety Approaches for Machine Learning-based Systems in the Days of AI

description: This package contains supplementary material for the paper "Multilayered Review of Safety Approaches for Machine Learning-based Systems in the Days of AI". In particular, we provide: The literature review protocol The search strings for each database Excel file containing all the motivational, primary, and secondary studies and their categorization README file explaining the content of each of the above-mentioned files
DOI: 10.6084/m9.figshare.14179592
title: crime victimization and fear of crime

description: 1. Data for crime victimization and fear of crime
DOI: 10.7277/g6en-yp23
title: Behavior, Analysis and Design of Complex Wall Systems (NEES-2005-0104)

description: &lt;p&gt;&lt;strong&gt;Title:&lt;/strong&gt; Behavior, Analysis and Design of Complex Wall Systems (NEES-2005-0104)&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Year Of Curation: &lt;/strong&gt;2014&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Description: &lt;/strong&gt;The laboratory testing presented here was conducted as part of a larger effort that employed laboratory testing and numerical simulation to advance understanding of the earthquake behavior, analysis and design of concrete walls. The research effort was sponsored by NSF through the NEES Research Program (Grant No. 0421577) with supplemental funding provided by the Charles Pankow Foundation. Eight planar rectangular, planar coupled and c-shaped wall specimens were tested quasi-statically to generate performance and response data. &lt;/p&gt; &lt;p&gt;&lt;strong&gt;Award: &lt;/strong&gt;http://www.nsf.gov/awardsearch/showAward?AWD_ID=0421577&lt;/p&gt; &lt;p&gt;&lt;strong&gt;PIs &amp; CoPIs: &lt;/strong&gt;Laura Lowes, Daniel Kuchma, Dawn Lehman, Jian Zhang&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Dates: &lt;/strong&gt;October 01, 2004 - March 20, 2013&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Organizations: &lt;/strong&gt;University of Illinois at Urbana-Champaign, IL, United States,  University of Washington, WA, United States&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Facilities: &lt;/strong&gt;University of Illinois at Urbana-Champaign, IL, United States&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Sponsor: &lt;/strong&gt;NSF - CMS - 0421577&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Keywords: &lt;/strong&gt;structural wall, splice, concrete, reinforced Concrete&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Publications: &lt;/strong&gt;&lt;br /&gt; &quot;Behavior, Analysis, and Design of Complex Wall Systems: Planar Wall Test Program Summary Document&quot;&lt;br /&gt; &quot;The Seismic Performance of Coupled Reinforced Concrete Walls&quot;&lt;br /&gt; &quot;Planar Wall Summary Document&quot;&lt;/p&gt; &lt;nb:citations&gt;&lt;/nb:citations&gt;
DOI: 10.6084/m9.figshare.13118177
title: List of contaminants on SA plant imports 1994-2019

description: Laboratory records of samples of imports received by South Africa from 1994 to 2019 and the contaminant organisms recorded on them.
DOI: 10.6084/m9.figshare.13668839
title: Metadata of contaminants on SA plant imports

description: Metadata associated with detections of contaminant organisms detected on South African plant imports between 1994 and 2019.
DOI: 10.6084/m9.figshare.13668839.v1
title: Metadata of contaminants on SA plant imports

description: Metadata associated with detections of contaminant organisms detected on South African plant imports between 1994 and 2019.
DOI: 10.6084/m9.figshare.13118177.v1
title: List of contaminants on SA plant imports 1994-2019

description: Laboratory records of samples of imports received by South Africa from 1994 to 2019 and the contaminant organisms recorded on them.
DOI: 10.5281/zenodo.4588970
title: LMAS Test Dataset

description: LMAS is an automated workflow enabling the benchmarking of traditional and metagenomic prokaryotic de novo assembly software using defined mock communities. LMAS expects reference sequences in tripled version as to to ensure that contigs can fully align even with start-end overlap and regardless of their starting position relative to that of the linearised reference sequence. Read data in paired-end form is required to be passed on for the assembler. As proof-of concept, the eight bacterial genomes and four plasmids, in tripled form, of the ZymoBIOMICS Microbial Community Standards are made available to be used as reference. Simulated raw sequence data of the mock communities with evenly distributed reads, generated from the reference genomes, is also available to be used as input for the assemblers. Project repository: https://github.com/cimendes/LMAS
DOI: 10.6084/m9.figshare.14171153
title: GNSS-R TARPP v1 (Topography) Algorithm Test Data

description: Lucinda King 08-03-2021<br>This is the data release which accompanies the MDPI Remote Sensing article "Towards a Topographically Accurate Reflection Point Prediction Algorithm for Operational Spaceborne GNSS Reflectometry" King. L et al 2021.<br>These data were used in the study described in the article. <br>The contents of the release are as follows. <br>- RawData: A folder of matfiles containing the DDMs for the six test datasets, for all PRNs, processed with both the quasispherical model and TARPP with 3 DEM resolutions.- extractDDM_array_pub.m is a MATLAB script for extracting the DDM arrays from the matfiles. It operates based on the current subfolder structure. - track_metadata.xlsx is an spreadsheet containing the metadata of the datasets.- The kml_files show the position of the dataset collections on the Earth's surface.- The data is released under a CC BY 4.0 licence - the full license text can be found in the license.txt file. It should be attributed to Surrey Satellite Technology Ltd. (SSTL) and Lucinda King.
DOI: 10.6084/m9.figshare.14171153.v1
title: GNSS-R TARPP v1 (Topography) Algorithm Test Data

description: Lucinda King 08-03-2021<br>This is the data release which accompanies the MDPI Remote Sensing article "Towards a Topographically Accurate Reflection Point Prediction Algorithm for Operational Spaceborne GNSS Reflectometry" King. L et al 2021.<br>These data were used in the study described in the article. <br>The contents of the release are as follows. <br>- RawData: A folder of matfiles containing the DDMs for the six test datasets, for all PRNs, processed with both the quasispherical model and TARPP with 3 DEM resolutions.- extractDDM_array_pub.m is a MATLAB script for extracting the DDM arrays from the matfiles. It operates based on the current subfolder structure. - track_metadata.xlsx is an spreadsheet containing the metadata of the datasets.- The kml_files show the position of the dataset collections on the Earth's surface.- The data is released under a CC BY 4.0 licence - the full license text can be found in the license.txt file. It should be attributed to Surrey Satellite Technology Ltd. (SSTL) and Lucinda King.
DOI: 10.6084/m9.figshare.14179583
title: Example experimental data for validation of motor unit identification using deep CNN

description: This is an example data set for validation of motor unit identification using deep CNN. <br>The data set includes HD-EMG and spike trains identified through blind source separation from 3 repeats of isometric contractions at 50% MVC. The HD-EMG and spike trains were segmented into frames with window size of 120 data points and step sizes of 50, 10, 20, and 40 data points.
DOI: 10.5519/qd.f8qlcozo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (14 records)
DOI: 10.5519/qd.yfr01gjw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (14 records)
DOI: 10.5258/soton/d1749
title: Dataset for: Computer Simulations of Cell Penetrating Peptides

description: This dataset supports the thesis entitled Computer Simulations of Cell Penetrating Peptides by Reid.
DOI: 10.5281/zenodo.3568093
title: Dataset for poster presentation: Magnetic Resonance imaging of water transport and drying-wetting cycles in cement pastes

description: This dataset supports the results included in the poster presentation ‘Magentic resonance imaging of water transport and drying-wetting cycles in cement pastes: Upscaling towards applications – water transport in C-S-H agglomerates studied by MRI measurements’, Magdalena Janota, PJ McDonald, DA Faux, A Gajewicz-Jaromin, at the 39th Cement and Concrete Science Conference, 9-10 September 2019, University of Bath, UK. The durability of cementitious materials is closely related to water transport within the material. The dynamic microstructure of calcium silica hydrate (C-S-H) - the main hydration product of cement - is researched widely and may impact transport. The macro-scale redistribution of water during drying / wetting in different types of pores is investigated by Magnetic Resonance Imaging (MRI). Traditional techniques such as gravimetry or permeability testing to measure sorption offer at best limited information on the distribution of water within a sample. On the other hand, magnetic resonance imaging (MRI) is a very powerful method not only to visualise where water is within a sample, but also, through spin relaxation time contrast to provide information on the locally filled pore size distribution. In this study, we use 1D and 3D SPRITE MRI methods sensitive to short relaxation time to separate and resolve with circa 0.5 mm resolution water in gel (nanometre) and capillary (micron) sized pores during repeated wetting and drying cycles of 60 mm size samples. The study aims to explore the extent to which time-dependent microstructural changes occurring in response to water content changes cause anomalous sorption behaviour. A series of water distribution maps are shown along with preliminary analysis using a new transport model under development. We observe that capillary and gel pores (T2 = 400 μs) are initially emptied. Smaller interlayer spaces first increase (150 μs) because larger pores collapse and because a residual surface layer of water is left behind in gel pores. In this sample, the drying is surprisingly uniform with position, especially given the signal loss decreases close to t0.5. The conference proceedings are published by University of Bath in association with Cementitious Materials Group, Institute of Materials Minerals and Mining, London, UK. https://researchportal.bath.ac.uk/en/publications/39th-cement-and-concrete-science-conference-2019 https://purehost.bath.ac.uk/ws/portalfiles/portal/197842011/39th_Cement_and_Concrete_Science_Conference_2019.pdf
DOI: 10.5281/zenodo.3568092
title: Dataset for poster presentation: Magnetic Resonance imaging of water transport and drying-wetting cycles in cement pastes

description: This dataset supports the results included in the poster presentation ‘Magentic resonance imaging of water transport and drying-wetting cycles in cement pastes: Upscaling towards applications – water transport in C-S-H agglomerates studied by MRI measurements’, Magdalena Janota, PJ McDonald, DA Faux, A Gajewicz-Jaromin, at the 39th Cement and Concrete Science Conference, 9-10 September 2019, University of Bath, UK. The durability of cementitious materials is closely related to water transport within the material. The dynamic microstructure of calcium silica hydrate (C-S-H) - the main hydration product of cement - is researched widely and may impact transport. The macro-scale redistribution of water during drying / wetting in different types of pores is investigated by Magnetic Resonance Imaging (MRI). Traditional techniques such as gravimetry or permeability testing to measure sorption offer at best limited information on the distribution of water within a sample. On the other hand, magnetic resonance imaging (MRI) is a very powerful method not only to visualise where water is within a sample, but also, through spin relaxation time contrast to provide information on the locally filled pore size distribution. In this study, we use 1D and 3D SPRITE MRI methods sensitive to short relaxation time to separate and resolve with circa 0.5 mm resolution water in gel (nanometre) and capillary (micron) sized pores during repeated wetting and drying cycles of 60 mm size samples. The study aims to explore the extent to which time-dependent microstructural changes occurring in response to water content changes cause anomalous sorption behaviour. A series of water distribution maps are shown along with preliminary analysis using a new transport model under development. We observe that capillary and gel pores (T2 = 400 μs) are initially emptied. Smaller interlayer spaces first increase (150 μs) because larger pores collapse and because a residual surface layer of water is left behind in gel pores. In this sample, the drying is surprisingly uniform with position, especially given the signal loss decreases close to t0.5. The conference proceedings are published by University of Bath in association with Cementitious Materials Group, Institute of Materials Minerals and Mining, London, UK. https://researchportal.bath.ac.uk/en/publications/39th-cement-and-concrete-science-conference-2019 https://purehost.bath.ac.uk/ws/portalfiles/portal/197842011/39th_Cement_and_Concrete_Science_Conference_2019.pdf
DOI: 10.17638/datacat.liverpool.ac.uk/1256
title: RIBA CMS Archive: LCC / ROCK Project
DOI: 10.5281/zenodo.4527099
title: Flaky Test Dataset to Accompany "FlakeFlagger: Predicting Flakiness Without Rerunning Tests"

description: When developers make changes to their code, they typically run regression tests to detect if their recent changes (re)introduce any bugs. However, many tests are flaky, and their outcomes can change non-deterministically, failing without apparent cause. Flaky tests are a significant nuisance in the development process, since they make it more difficult for developers to trust the outcome of their tests. The traditional approach to identify flaky tests is to rerun them multiple times: if a test is observed both passing and failing on the same code, it is definitely flaky. We conducted a very large empirical study looking for flaky tests by rerunning the test suites of 24 projects 10,000 times each, and found that even with this many reruns, some flaky tests were still not detected. We propose FlakeFlagger, a novel approach that collects a set of features describing the behavior of each test, and then predicts tests that are likely to be flaky based on similar behavioral features. We found that FlakeFlagger correctly labeled at least as many tests as flaky as a state-of-the-art flaky test classifier, but that FlakeFlagger reported far fewer false positives (an increase in precision from just 11% to 60%). This lower false positive rate translates directly to saved time for researchers and developers who use the classification result to guide more expensive flaky test detection processes. By investigating the information gain of each feature, we conclude that test execution time, overall test coverage, coverage of recently changed lines and usage of third party libraries are effective predictors of test flakiness. We did not find any keywords or tokens in the source code of tests that were effective in predicting test flakiness, and did not find the presence of test smells to be effective in predicting test flakiness. This archive contains the dataset that we collected of flaky tests, along with the features that we collected from each test. Contents:<br> Project_Info.csv: List of projects and their revisions studied<br> build-logs-&lt;project-slug&gt;.tgz: An archive of all of the maven build logs from each of the 10,000 runs of that project's test suite. <br> failing-test-reports-&lt;project-slug&gt;.tgz An archive of all of the surefire XML reports for each failing test of each build of each project.<br> test_results.csv: Summary of the number of passing and failing runs for each test in each project. <br> "Run ID" is a key into the &lt;project-slug&gt;.tgz archive also in this artifact, which refers to the run that we observed the test fail on.<br> test_features.csv: Summary of the features that each test had, as per our feature detectors described in the paper<br> flakeflagger-code.zip: All scripts used to generate and process these results. These scripts are also located at https://github.com/AlshammariA/FlakeFlagger