cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4571049
title: SLAC Dataset

description: This distribution includes details of the SLAC multimodal music dataset as well as features extracted from it. This dataset is intended to facilitate research comparing relative musical influences of four different musical modalities: symbolic, lyrical, audio and cultural. SLAC was assembled by independently collecting, for each of its component musical pieces, a symbolic MIDI encoding, a lyrical text transcription, an audio MP3 recording and cultural information mined from the internet. It is important to emphasize the independence of how each of these components were collected; for example, the MIDI and MP3 encodings of each piece were collected entirely separately, and neither was generated from the other. Features have been extracted from each of the musical pieces in SLAC using the jMIR (http://jmir.sourceforge.net) feature extractor corresponding to each of the modalities: jSymbolic for symbolic, jLyrics for lyrics, jAudio for audio and jWebMiner2 for mining cultural data from search engines and Last.fm (https://www.last.fm). SLAC is quite small, consisting of only 250 pieces. This is due to the difficulty of finding matching information in all four modalities independently. Although this limited size does pose certain limitations, the dataset is nonetheless the largest (and only) known dataset including all four independently collected modalities. The dataset is divided into ten genres, with 25 pieces belonging to each genre: Modern Blues, Traditional Blues, Baroque, Romantic, Bop, Swing, Hardcore Rap, Pop Rap, Alternative Rock and Metal. These can be collapsed into a 5-genre taxonomy, with 50 pieces per genre: Blues, Classical, Jazz, Rap and Rock. This facilitates experiments with both coarser and finer classes. SLAC was published at the ISMIR 2010 conference, and was itself an expansion of the SAC dataset (published at the ISMIR 2008 conference), which is identical except that it excludes the lyrics and lyrical features found in SLAC. Both ISMIR papers are included in this distribution. Due to copyright limitations, this distribution does not include the actual music or lyrics of the pieces comprising SLAC. It does, however, include details of the contents of the dataset as well as features extracted from each of its modalities using the jMIR software. These include the original features extracted for the 2010 ISMIR paper, as well as an updated set of symbolic features extracted in 2021 using the newer jSymbolic 2.2 feature extractor (published at ISMIR 2018). These jSymbolic 2.2 features include both the full MIDI feature set and a “conservative” feature set meant to limit potential biases due to encoding practice. Feature values are distributed as CSV files, Weka ARFF (https://www.cs.waikato.ac.nz/ml/weka/) files and ACE XML (http://jmir.sourceforge.net) files.<br>
DOI: 10.5281/zenodo.4571159
title: ignition delay experiment

description: Shock tube study on ignition delay of hydrogen and<br> evaluation of various kinetic modelsErjiang Hu, Lun Pan, Zhenhua Gao, Xin Lu, Xin Meng, Zuohua Huang
DOI: 10.5281/zenodo.4571158
title: ignition delay experiment

description: Shock tube study on ignition delay of hydrogen and<br> evaluation of various kinetic modelsErjiang Hu, Lun Pan, Zhenhua Gao, Xin Lu, Xin Meng, Zuohua Huang
DOI: 10.5281/zenodo.4571221
title: ignition delay experiment

description: Shock tube study on ignition delay of hydrogen and<br> evaluation of various kinetic modelsErjiang Hu, Lun Pan, Zhenhua Gao, Xin Lu, Xin Meng, Zuohua Huang
DOI: 10.5281/zenodo.4571220
title: ignition delay experiment

description: Shock tube study on ignition delay of hydrogen and<br> evaluation of various kinetic modelsErjiang Hu, Lun Pan, Zhenhua Gao, Xin Lu, Xin Meng, Zuohua Huang
DOI: 10.6084/m9.figshare.14132123
title: Airborne_Color_IR_Videography_Data_High_Resolution_Mosaics_April_15_2003_to_April_18_2003_Noel_Kempff_Mercado_Bolivia_Forest_Lianas

description: A repository for high-resolution videography image data collected for research described in Foster et al. (2008) Remote Sensing of Environment over Noel Kempff Mercado National Park Bolivia. The Nature Conservancy (TNC) contracted with Winrock International for acquisition of high resolution color-infrared aerial videography (CIR-AV) (Ranging from 10 cm, to 50 cm pixels, 0.5-km extent along-track, and 1-km swath width) (similar to Brown et al., 2005). These data were acquired during a field campaign from the 14th to the 18th of April in 2003. Areas within the aerial videography that corresponded to EO-1 Hyperion hyperspectral imagery and Landsat data were used to identify a sample of low-stature liana tangles and forests that guided mapping of liana forest patches. Low liana tangles were clearly distinguishable as homogenous areas of bright green vegetation among the more varied canopies of larger trees in the high-resolution CIR-AV images. Unlike other vegetation, liana canopies drape like a horizontal blanket over other vegetation, form columnar "towers" over emergent trees that cast distinctively columnar shadows, form linear linkages from one tree canopy to another and drape from high-canopy forest edges down to low-liana dominated patches. These videography image mosaics are being archived in the format provided by Winrock International, as either .TIF or .IMG raster files (ERDAS Imagine format) and associated metadata. When georeferencing information is available in the image header, the map projection is datum WGS84, UTM zone 20S. This archive contains image mosaics with the original names provided by Winrock International. The bulk of the original imagery is archived in the lab of Professor Phil Townsend at the University of Wisconsin. The subset of images archived here were retrieved off of CD or DVD in June 2019. Additional videography data may be added to this archive in the future from storage at the University of Wisconsin.<br>
DOI: 10.6084/m9.figshare.14132123.v2
title: Airborne_Color_IR_Videography_Data_High_Resolution_Mosaics_April_15_2003_to_April_18_2003_Noel_Kempff_Mercado_Bolivia_Forest_Lianas

description: High-resolution videography data collected for research described in Foster et al. (2008) Remote Sensing of Environment. The Nature Conservancy (TNC) contracted with Winrock International for acquisition of high resolution color-infrared aerial videography (CIR-AV) (Ranging from 10 cm, 50 cm pixels, 0.5-km extent along-track, and 1-km swath width) (similar to Brown et al., 2005). These data were acquired during a field campaign from the 14th to the 18th of April in 2003. Areas within the aerial videography that corresponded to EO-1 Hyperion hyperspectral imagery and Landsat data were used to identify a sample of low-stature liana tangles and forests that guided mapping of liana forest patches. Low liana tangles were clearly distinguishable as homogenous areas of bright green vegetation among the more varied canopies of larger trees in the high-resolution CIR-AV images. Unlike other vegetation, liana canopies drape like a horizontal blanket over other vegetation, form columnar "towers" over emergent trees that cast distinctively columnar shadows, form linear linkages from one tree canopy to another and drape from high-canopy forest edges down to low-liana dominated patches. These videography image mosaics are being archived in the format provided by Winrock International, as either .TIF or .IMG raster files (ERDAS Imagine format) and associated metadata. When georeferencing information is available in the image header, the map projection is datum WGS84, UTM zone 20S. This archive contains image mosaics with the original names provided by Winrock International.<br>
DOI: 10.5281/zenodo.4571228
title: ManyTypes4Py: A benchmark Python Dataset for Machine Learning-Based Type Inference

description: The dataset is gathered on Sep. 17th 2020. It has more than 5.4K Python repositories that are hosted on GitHub. Check out the file <strong>ManyTypes4PyDataset.spec </strong>for repositories URL and their commit SHA. The dataset is also de-duplicated using the CD4Py tool. The list of duplicate files is provided in <strong>duplicate_files.txt </strong>file. All of its Python projects are processed in JSON-formatted files. They contain a seq2seq representation of each file, type-related hints, and information for machine learning models. The structure of JSON-formatted files is described in <strong>JSONOutput.md</strong> file. The dataset is split into train, validation and test sets by source code files. The list of files and their corresponding set is provided in <strong>dataset_split.csv</strong> file. Notable changes to each version of the dataset are documented in <strong>CHANGELOG.md</strong>.
DOI: 10.5281/zenodo.4571297
title: ignition delay experiment

description: Shock tube study on ignition delay of hydrogen and<br> evaluation of various kinetic modelsErjiang Hu, Lun Pan, Zhenhua Gao, Xin Lu, Xin Meng, Zuohua Huang
DOI: 10.5281/zenodo.4571296
title: ignition delay experiment

description: Shock tube study on ignition delay of hydrogen and<br> evaluation of various kinetic modelsErjiang Hu, Lun Pan, Zhenhua Gao, Xin Lu, Xin Meng, Zuohua Huang
DOI: 10.6084/m9.figshare.14135003
title: netbeans_stacktraces.json

description: <pre><pre>This dataset is a collection of stack traces extracted from NetBeans bug reports. It is used and published in our paper: A. Khvorov, R. Vasiliev, G. Chernishev, I. M. Rodrigues, D. Koznov, N. Povarov. S3M: Siamese Stack (Trace) Similarity Measure. MSR 2021The S3M model code is published here https://github.com/akhvorov/S3MThe data presented as a list of records in the following JSON format:</pre></pre><pre>[<br> {<br> "bug_id": 1234,<br> "dup_id": 12,<br> "creation_ts": 1234567891234,<br> "stacktrace": {<br> "exception": ["java.lang.Exception"], <br> "frames": [<br> {"function": "java.util.ArrayList.get", "depth": 0}, <br> {"function": "com.company.Class1.method1", "depth": 1}, <br> {"function": "com.company.Class2.method2", "depth": 2}, <br> {"function": "com.company.Class1.method2", "depth": 3}<br> ]<br> }<br> },<br> {<br> "bug_id": 1235,<br> "dup_id": null,<br> "creation_ts": 1234567898765,<br> "stacktrace": {<br> "exception": ["com.company.MyException"], <br> "frames": [ <br> {"function": "com.company.Class1.method2", "depth": 0}, <br> {"function": "com.company.Class1.main", "depth": 1}<br> ]<br> }<br> }<br>]</pre><pre><pre>This is a trimmed example to show only data format.</pre></pre>
DOI: 10.6084/m9.figshare.14138213.v1
title: Transcriptome analysis of porcine PBMCs reveals lipopolysaccharide-induced immunomodulatory responses and crosstalk of immune and glucocorticoid receptor signaling

description: Supplemental online material for the paper entitled "Transcriptome analysis of porcine PBMCs reveals lipopolysaccharide-induced immunomodulatory responses and crosstalk of immune and glucocorticoid receptor signaling"
DOI: 10.5281/zenodo.4571352
title: Hydrographic data (CTD casts and mooring records) collected in the Nordic seas in 2015

description: A joint Norway-China hydrographic cruise was conducted in June 2015, sampling up to 130 CTD casts in the central Nordic Seas. Detail tasks in the observation of physical oceanography were organized by Ocean University of China, aiming to investgate the hydrographic changes in the Nordic seas related to the rapid warming in high latitudes.
DOI: 10.5281/zenodo.4571351
title: Hydrographic data (CTD casts and mooring records) collected in the Nordic seas in 2015

description: A joint Norway-China hydrographic cruise was conducted in June 2015, sampling up to 130 CTD casts in the central Nordic Seas. Detail tasks in the observation of physical oceanography were organized by Ocean University of China, aiming to investgate the hydrographic changes in the Nordic seas related to the rapid warming in high latitudes.
DOI: 10.5281/zenodo.4571431
title: Annotation of press articles with topic modelling and naïve Bayes classifiers

description: Annotation of historic press articles, organised per titles, with topic modelling and naïve Bayes classifiers (NBC2+4). List of the 100 most significant words for the 4th round of NBC for the antimodern conception of Europe. List of topics with labels and distribution per title, trained on the articles collection of each selected Swiss press title.
DOI: 10.5281/zenodo.4571430
title: Annotation of press articles with topic modelling and naïve Bayes classifiers

description: Annotation of historic press articles, organised per titles, with topic modelling and naïve Bayes classifiers (NBC2+4). List of the 100 most significant words for the 4th round of NBC for the antimodern conception of Europe. List of topics with labels and distribution per title, trained on the articles collection of each selected Swiss press title.
DOI: 10.5281/zenodo.4571507
title: Named-Entity Dataset for Medieval Latin, Middle High German and Old Norse

description: This is a list of lemmata and their tokens as they appear in Decem Libri Historium (Medieval Latin), Völsunga saga (Old Norse) and Nibelungenlied (Middle High German).
DOI: 10.5281/zenodo.4571506
title: Named-Entity Dataset for Medieval Latin, Middle High German and Old Norse

description: This is a list of lemmata and their tokens as they appear in Decem Libri Historium (Medieval Latin), Völsunga saga (Old Norse) and Nibelungenlied (Middle High German).
DOI: 10.25386/genetics.14073668
title: Supplemental Material for Sun et al., 2021

description: Supplemental figures, tables, and data associated with manuscript. <br><br>Full description of files provided explained in FileS1. <br><br>Data files include full demographic data for SP1 and SP2; curated lists of 25-mers used to detect reference and variant alleles in RNA-seq data from the X chromosome; posterior distributions for covariates estimated in all Bayesian hierarchical models; k-mer counts of the curated 25-mers for both populations; k-mer counts of 45-mers from DNA-seq using CC and CC founder strains; positions of segmental duplications and inversions in the Xce.<br>
DOI: 10.25386/genetics.14073668.v1
title: Supplemental Material for Sun et al., 2021

description: Supplemental figures, tables, and data associated with manuscript. <br><br>Full description of files provided explained in FileS1. <br><br>Data files include full demographic data for SP1 and SP2; curated lists of 25-mers used to detect reference and variant alleles in RNA-seq data from the X chromosome; posterior distributions for covariates estimated in all Bayesian hierarchical models; k-mer counts of the curated 25-mers for both populations; k-mer counts of 45-mers from DNA-seq using CC and CC founder strains; positions of segmental duplications and inversions in the Xce.<br>
DOI: 10.5281/zenodo.4571550
title: Synchronous Marine and Terrestrial Carbon Cycle Perturbation in the High Arctic during the PETM

description: The samples collected were from Core BH9-05 from the Paleogene Central Basin, Spitsbergen (~77.83 ^o^N, 16.5 ^o^E). The expedition was the result of a Paleo-Arctic Climates and Environments Project (pACE) sponsored by the Worldwide Universities Network. The samples contain organic-carbon-rich siliciclastic mudstones and siltstones. A total of 18 samples were analyzed in the isotopic biogeochemistry lab at the Pennsylvania State University for biomarker abundance and compound-specific carbon isotopes in 2010, and another 21 samples were subsequently analyzed for compound-specific carbon isotopes in 2014 to further examine the details of the CIE. The temporal coverage is Paleocene-Eocene transition (55.624 to 55.845 Ma), for a total of about 220,900 years. The data were collected for compound-specific carbon isotope analysis for both long-chain and short-chain <em>n</em>-alkanes. The biomarker analyses were performed on a Hewlett-Packard 6890 GC coupled to a Hewlett-Packard 5973 quadrupole MS, and the compound-specific carbon isotopes were analyzed using a GC-Isotope Ratio Mass Spectrometer (GC-IRMS).
DOI: 10.5281/zenodo.4571549
title: Synchronous Marine and Terrestrial Carbon Cycle Perturbation in the High Arctic during the PETM

description: The samples collected were from Core BH9-05 from the Paleogene Central Basin, Spitsbergen (~77.83 ^o^N, 16.5 ^o^E). The expedition was the result of a Paleo-Arctic Climates and Environments Project (pACE) sponsored by the Worldwide Universities Network. The samples contain organic-carbon-rich siliciclastic mudstones and siltstones. A total of 18 samples were analyzed in the isotopic biogeochemistry lab at the Pennsylvania State University for biomarker abundance and compound-specific carbon isotopes in 2010, and another 21 samples were subsequently analyzed for compound-specific carbon isotopes in 2014 to further examine the details of the CIE. The temporal coverage is Paleocene-Eocene transition (55.624 to 55.845 Ma), for a total of about 220,900 years. The data were collected for compound-specific carbon isotope analysis for both long-chain and short-chain <em>n</em>-alkanes. The biomarker analyses were performed on a Hewlett-Packard 6890 GC coupled to a Hewlett-Packard 5973 quadrupole MS, and the compound-specific carbon isotopes were analyzed using a GC-Isotope Ratio Mass Spectrometer (GC-IRMS).
DOI: 10.5281/zenodo.4569232
title: Sensor data collected during the beta tests user studies for worker safety project

description: This dataset documents alarm events, HIL sensor data, and worker behavior/response to alarms during beta user testing of worker safety experiments on an integrated traffic simulation and VR platform. This data can be requested by contacting Dr. Semiha Ergan at semiha@nyu.edu
DOI: 10.5281/zenodo.4569231
title: Sensor data collected during the beta tests user studies for worker safety project

description: This dataset documents alarm events, HIL sensor data, and worker behavior/response to alarms during beta user testing of worker safety experiments on an integrated traffic simulation and VR platform. This data can be requested by contacting Dr. Semiha Ergan at semiha@nyu.edu
DOI: 10.5281/zenodo.4552670
title: Dalek - TARDIS emulator networks and scripts

description: Pretrained networks and jupyter notebook for the emulator presented in paper "Dalek -- a deep-learning emulator for TARDIS"
DOI: 10.5281/zenodo.4552669
title: Dalek - TARDIS emulator networks and scripts

description: Pretrained networks and jupyter notebook for the emulator presented in paper "Dalek -- a deep-learning emulator for TARDIS"
DOI: 10.5281/zenodo.4571567
title: Feira de Informação e Comunicação( FEICOM) Edição 2017: ANAIS DOS RESUMOS EXPANDIDOS DOS PÔSTERES

description: A “Feira de Informação e Comunicação 2017 - FEICOM” realizou-se nos dias 19 e 20 de outubro de 2017, na Faculdade de Informação e Comunicação e no Laboratório de Informação e Comunicação – Labicom da Universidade Federal de Goiás - UFG, em Goiânia, organizada pela Faculdade de Informação e Comunicação – FIC/ UFG.<br> Esta foi a IX Edição e se propôs a ser um espaço de apresentação e compartilhamento de experiências referentes às atividades acadêmicas da FIC no referido ano, e a Feira foi dirigida a Acadêmicos, Docentes e Técnico-Administrativos das áreas de Informação e Comunicação, à Comunidade Acadêmica e à Comunidade em geral.<br> Os resumos expandidos dos pôsteres foram submetidos à Comissão Científica e nos dias 19 e 20 de outubro, a mesma Comissão avaliou os vinte pôsteres expostos no Labicom.
description: Todos os pôsteres estão publicados neste dataset
DOI: 10.5281/zenodo.4571566
title: Feira de Informação e Comunicação( FEICOM) Edição 2017: ANAIS DOS RESUMOS EXPANDIDOS DOS PÔSTERES

description: A “Feira de Informação e Comunicação 2017 - FEICOM” realizou-se nos dias 19 e 20 de outubro de 2017, na Faculdade de Informação e Comunicação e no Laboratório de Informação e Comunicação – Labicom da Universidade Federal de Goiás - UFG, em Goiânia, organizada pela Faculdade de Informação e Comunicação – FIC/ UFG.<br> Esta foi a IX Edição e se propôs a ser um espaço de apresentação e compartilhamento de experiências referentes às atividades acadêmicas da FIC no referido ano, e a Feira foi dirigida a Acadêmicos, Docentes e Técnico-Administrativos das áreas de Informação e Comunicação, à Comunidade Acadêmica e à Comunidade em geral.<br> Os resumos expandidos dos pôsteres foram submetidos à Comissão Científica e nos dias 19 e 20 de outubro, a mesma Comissão avaliou os vinte pôsteres expostos no Labicom.
description: Todos os pôsteres estão publicados neste dataset
DOI: 10.6084/m9.figshare.3761562.v1791
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.18112/openneuro.ds003550.v1.0.0
title: Visser, Scholte, Beemsterboer, Kindt (2013) Nature Neuroscience
DOI: 10.5281/zenodo.4571572
title: Vibronic Coupling in a Molecular 4f Qubit

description: Vibronic coupling, the interaction between molecular vibrations and electronic states, is a pervasive effect that profoundly affects chemical processes. In the case of molecular magnetic materials, vibronic, or spin-phonon, coupling leads to magnetic relaxation, which equates to loss of magnetic memory and loss of phase coherence in molecular magnets and qubits, respectively. The study of vibronic coupling is challenging, and most experimental evidence is indirect. Here we employ far-infrared magnetospectroscopy to probe vibronic transitions in a Yb<sup>III</sup> molecular qubit directly. We find intense signals near electronic states, which we show arise due to an “envelope effect” in the vibronic coupling Hamiltonian, and we calculate the vibronic coupling fully <em>ab initio</em> to simulate the spectra. We subsequently show that vibronic coupling is strongest for vibrational modes that simultaneously distort the first coordination sphere and break the C<sub>3</sub> symmetry of the molecule. With this knowledge, vibrational modes could be identified and engineered to shift their energy towards or away from particular electronic states to alter their impact. Hence, these findings provide new insights towards developing general guidelines for the control of vibronic coupling in molecules.
description: We thank The University of Manchester for access to the Computational Shared Facility, the EPSRC (studentship to J.G.C.K.), and The Royal Society (University Research Fellowship to N.F.C.). This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 851504) and the US National Science Foundation (NSF grant numbers DMR-1610226 and DMR-2004732). A portion of this work was performed at the NHMFL which is supported by the NSF (grant number DMR-1644779) and the State of Florida. S.P. thanks the VILLUM FONDEN for research grant 13376.