cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.20383/102.0558
title: SuperDARN 2019 RAWACF

description: SuperDARN RAWACF files for the calendar year 2019. INSTRUMENT INFORMATION AND RULES OF THE ROAD: *** Before downloading and using the data, make sure to read the README file in the top directory of this collection. *** SuperDARN is an international collaboration operating high frequency (HF) radars deployed in the northern and southern hemispheres to measure ionospheric plasma circulation. Each partner institution secures funding and manages operations for their own facilities. The continued availability of SuperDARN data depends on the proper acknowledgment of data by its users. Guidelines for data acknowledgment are as follows: When data from an individual radar or radars are used, users must contact the principal investigator(s) of those radar(s) to obtain the appropriate acknowledgement information and to offer collaboration, where appropriate. Contact information is available in the README file for this collection. For all usage of SuperDARN data, users are asked to include the following standard acknowledgment text: “The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.” While SuperDARN has an open data use policy, i.e., prior permission to access and analyse the data is not required, the data user is strongly encouraged to establish early contact with any Principal Investigator whose data are involved in the project to discuss the intended usage and collaboration. Data can be subject to limitations that are not immediately evident to users. In addition, some data are embargoed for use by designated Principal Investigators for a period of one year. SuperDARN and the organizations that contributed data must be acknowledged in all reports and publications that use SuperDARN data. The SuperDARN Executive Council (see list in the README) must be notified before data are redistributed through another database. The data are not to be used for commercial purposes. If you have any questions about appropriate use of these data, contact any SuperDARN Principal Investigator.
DOI: 10.5281/zenodo.6856036
title: Forcing data, evaluation data, model output and analysis scripts used in LPJ-GUESS/LSM description paper

description: This archive contains: - model_output.tar.gz: Model output<br> - extracted_fluxes.tar.gz: Sensible heat, latent heat and CO2 fluxes extracted from the FLUXNET2015 dataset, used to evaluate the model output<br> - extracted_climate.tar.gz: Climate data extracted from the FLUXNET2015 dataset, used to force the simulations<br> - scripts.tar.gz: Python scripts used to analyze the data and produce the results reported in the model description paper The climate forcing data has been extracted from the FLUXNET2015 dataset [1]. Input and output data is stored in netCDF files. Evaluation data is stored in python serialized files (pickle). [1] Pastorello, G., Trotta, C., Canfora, E. <em>et al.</em> The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. <em>Sci Data</em> <strong>7, </strong>225 (2020). https://doi.org/10.1038/s41597-020-0534-3
DOI: 10.5525/gla.researchdata.1339
title: Topographic point cloud of a bedrock reach of the River Garry, Scotland

description: This dataset is an x,y,z point cloud of the topography of a 130 m long bedrock reach of the River Garry, Scotland. The Ordnance Survey Grid Reference of the reach is 272748,769981. The beds strike roughly perpendicular to the direction of river flow. At the time of survey, the bedrock was exposed on both sides of the river, with shallow water filling the centre of the channel. Gravel deposits, ranging from pebbles to large boulders were moderately to poorly sorted and located on the outer bank and in dips between beds. The reach was surveyed on 9 June 2016. A Leica C10 Terrestrial Laser Scanner was positioned at seven stations to survey the reach. Data were registered using the conformal transformation methods using known overlapping point targets (n = 7). The targets were positioned using Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS), relative to an established point.
DOI: 10.17632/cf78cr8xyx.3
title: Data from an extensive literature review on factors influencing human trust in artificial intelligence

description: These data originate from an extensive literature search with defined search string in defined databases on the topic of trust in technology-based counterparts, such as automation, robots, artificial intelligence.
DOI: 10.17632/f94kxmwf2n.3
title: Data for: Testing hypotheses of diversification in Panamanian frogs and freshwater fishes using hierarchical approximate Bayesian computation with model averaging

description: In support of the manuscript by Bagley et al. (2018), this accession provides scripts and information that were used to conduct ```MTML-msBayes``` analyses included in the paper. To meet PeerJ requirements, we also provide files containing the raw data and input files (DNA sequence alignments) that we analyzed in the paper. See the README file provided in Markdown and PDF formats for additional information on the files contained within this accession, as well as how they were strung together in a UNIX/LINUX pipeline workflow to conduct hierarchical approximate Bayesian computation (hABC) analyses reported in the corresponding manuscript (Bagley et al. 2018). Licensing information is discussed in the README and provided in full in the "LICENSE.md" file. REFERENCES Bagley, J.C., Hickerson, M.J. & Johnson, J.B. (2018) Testing hypotheses of diversification in Panamanian frogs and freshwater fishes using hierarchical approximate Bayesian computation with model averaging. Diversity.
DOI: 10.5281/zenodo.495089
title: Data For The Article "Performance Of Scan Density Functional Method For A Set Of Ionic Liquids"

description: The repository (https://github.com/vilab-tartu/SCAN) contains the database, geometries and an illustrative ipython notebook supporting the article "Performance of SCAN density functional method for a set of ionic liquids".
description: The EU supported this research through the European Regional Development Fund (Centre of Excellence, 2014-2020.4.01.15-0011), Institutional Research Grant IUT20-13, and Estonian Personal Research Project PUT1107. This work was carried out in part in the High Performance Computing Center of the University of Tartu. JS thanks the support from the Center for the Computational Design of Functional Layered Materials, an Energy Frontier Research Center funded by the US Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), under award no. DE-SC0012575.
DOI: 10.5281/zenodo.6989464
title: Laboratory findings

description: Laboratory findings
DOI: 10.5441/001/1.254rd102
title: Data from: Longer days enable higher diurnal activity for migratory birds [greater white-fronted geese]

description: Pokrovsky I, Kölzsch A, Sherub S, Fiedler W, Glazov P, Kulikova O, Wikelski M, Flack A. 2021. Longer days enable higher diurnal activity for migratory birds. J Anim Ecol. doi:10.1111/1365-2656.13484
description: (1) Seasonal geophysical cycles strongly influence the activity of life on Earth because they affect environmental conditions like temperature, precipitation, and daylength. An increase in daylight availability during summer is especially enhanced when animals migrate along a latitudinal gradient. Yet, the question of how daylength (i.e. daylight availability) influences the activity patterns of long‐distance, latitudinal migrants is still unclear. (2) Here, we ask whether migration provides benefits to long‐distance migrants by enabling them to increase their diurnal movement activities due to an increase in daylight availability. To answer this question, we tested whether four vastly different species of long‐distance migratory birds--two arctic migrants and two mid‐latitude migrants--can capitalise on day length changes by adjusting their daily activity. (3) We quantified the relationship between daily activity (measured using accelerometer data) and day length, and estimated each species' daily activity patterns. In addition, we evaluated the role of day length as an ultimate driver of bird migration. (4) All four species exhibited longer activity periods during days with more daylight hours, showing a strong positive relationship between total daily activity and day length. The slope of this relationship varied between the different species, with activity increasing 1.5‐fold on average when migrating from wintering to breeding grounds. Underlying mechanisms of these relationships reveal two distinct patterns of daily activity. Flying foragers showed increasing activity patterns, i.e. their daytime activities rose uniformly up to solar noon and decreased until dusk, thereby exhibiting a season‐specific activity slope. In contrast, ground foragers showed a constant activity pattern, whereby they immediately increased their activity to a certain level and maintained this level throughout the day. (5) Our study reveals that long days allow birds to prolong their activity and increase their total daily activity. These findings highlight that daylight availability could be an additional ultimate cause of bird migration and act as a selective agent for the evolution of migration.
DOI: 10.6084/m9.figshare.15067119.v2
title: Interview summary data supporting "Public involvement in pandemic modelling: a qualitative study of Test, Trace and Isolate practices in the UK and implications for modelling"

description: These are transcripts of interviews with 20 members of the UK public, in June-July 2021. The topics covered include attitudes to Test, Trace and Isolate, the costs and barriers for these behaviours, and the perceived impact of vaccines on testing behaviours. The interviews cover public perception of Lateral Flow Devices, PCR testing, and trust in the NHS Test and Trace App.<br>Participants were recruited via this webpage: https://github.com/test-trace-isolate-interviews/public-recruitment<br><br>The topic guide, which was used in these semi-structured interviews, is "Topic guide 1_0 Public.docx".
DOI: 10.6084/m9.figshare.6993581
title: Data for "Uncertainty quantification for non-invasive assessment of pressure drop across a coarctation of the aorta using CFD"

description: Here you can download all geometries used in the publication "Uncertainty quantification for non-invasive assessment of pressure drop across a coarctation of the aorta using CFD". The case numbers match those from the manuscript. The suffixes "decreased", "original" and "increased" indicate the alteration of the stenosis diameter.<br><br>
DOI: 10.20350/digitalcsic/1402
title: Cuenta bicónica - DELVI0034_AR
DOI: 10.5281/zenodo.1197357
title: Late Latin Charter Treebank, Version 1 (Llct1)

description: Version 1 of the Late Latin Charter Treebank (LLCT1). Early medieval Latin documentary texts with morphological and syntactic annotation. Ancient Language Dependency Treebank compatible linguistic annotation, Prague style treebank format (PML). See full description in Korkiakangas & Lassila, 2013, "Abbreviations, fragmentary words, formulaic language: treebanking medieval charter material". Will be replaced by LLCT2 in 2018 (version 2).
DOI: 10.5281/zenodo.5021329
title: GitSED: GitHub Socially Enhanced Dataset

description: Software Engineering has evolved as a field to study not only the many ways software is created but also how it evolves, becomes successful, is effective and efficient in its objectives, satisfies its quality attributes, and much more. Nonetheless, there are still many open issues during its conception, development, and maintenance phases. Especially, understanding how developers collaborate may help in all such phases, but it is also challenging. Luckily, we may now explore a novel angle to deal with such a challenge: studying the social aspects of software development over social networks. With <em>GitHub</em> becoming the main representative of collaborative software development online tools, there are approaches to assess the follow-network, stargazer-network, and contributors-network. Moreover, having such networks built from real software projects offers support for relevant applications, such as detection of key developers, recommendation of collaboration among developers, detection of developer communities, and analyses of collaboration patterns in agile development. <strong>GitSED</strong> is a dataset based on GitHub that is curated (cleaned and reduced), augmented with external data, and enriched with social information on developers’ interactions. The original data is extracted from GHTorrent (an offline repository of data collected through the GitHub REST API). Our final dataset contains data from up to June 2019. It comprises: <strong>8,556,778</strong> repositories <strong>32,411,674 </strong>developers <strong>6</strong> programming languages (Assembly, JavaScript, Pascal, Python, Ruby, Visual Basic) <strong>13</strong> collaboration metrics There are two previous versions of GitSED, which were originally built for the following conference papers: v2 (May 2017): <em>Gabriel P. Oliveira, Natércia A. Batista, Michele A. Brandão, and Mirella M. Moro. Tie Strength in GitHub Heterogeneous Networks. In Proceedings of the 24th Brazilian Symposium on Multimedia and the Web (WebMedia'18), 2018.</em> v1 (Sep 2015): <em>Natércia A. Batista, Michele A. Brandão, Gabriela B. Alves, Ana Paula Couto da Silva, and Mirella M. Moro. Collaboration strength metrics and analyses on GitHub. In Proceedings of the International Conference on Web Intelligence (WI'17), 2017.</em>
DOI: 10.5281/zenodo.5347803
title: FDup deduplication software data benchmark: 10Mi OpenAIRE Publications Dump

description: This dataset is a random subset of publications extracted from the OpenAIRE Research Graph (http://doi.org/10.5281/zenodo.4707307). The dataset contains ~10Mi JSON publications records. The file is a zip archive containing gz files, each with one JSON per line. Each JSON is compliant to the schema available at http://doi.org/10.5281/zenodo.4723403.<br> <br> Learn more about the OpenAIRE Research Graph at https://graph.openaire.eu.
description: {"references": ["FDup: a framework for general-purpose and efficient entity deduplication of record collections: https://peerj.com/articles/cs-1058/"]}
DOI: 10.5281/zenodo.583600
title: Data Used For Submission Entitled "A Spatial Analysis Of Multiplayer Online Battle Arena Mobility Traces"

description: A mobility trace dataset for the popular Multiplayer Online Battle Arena game "Heroes of Newerth"
DOI: 10.5281/zenodo.6782465
title: Neural-network-backed evolutionary search for SrTiO3(110) surface reconstructions

description: The archive "dataset.tar.gz" contains trained models (neural networks), training-, validation- and test-data and selected structures in POSCAR format, obtained in the neural-network-backed evolutionary search for SrTiO3(110) surface reconstructions. See README for more information on the archive content.
DOI: 10.5281/zenodo.6823421
title: 2022_Bano_DeepESD_GMD_data

description: Data to reproduce the results of the manuscript entitled "Downscaling Multi-Model Climate Projection Ensembles with Deep Learning (DeepESD): Contribution to CORDEX EUR-44" submitted to Geoscientific Model Development (DOI: https://doi.org/10.5194/gmd-2022-57). The companion jupyter notebook can be found in DOI: 10.5281/zenodo.6828303
DOI: 10.5281/zenodo.6823422
title: 2022_Bano_DeepESD_GMD_data

description: Data to reproduce the results of the manuscript entitled "Downscaling Multi-Model Climate Projection Ensembles with Deep Learning (DeepESD): Contribution to CORDEX EUR-44" submitted to Geoscientific Model Development (DOI: https://doi.org/10.5194/gmd-2022-57). The companion jupyter notebook can be found in DOI: 10.5281/zenodo.6828303
DOI: 10.5441/002/edbt.2021.77
title: IMCF: The IoT Meta-Control Firewall for Smart Buildings
DOI: 10.5517/cc86mdg
title: CCDC 244695: Experimental Crystal Structure Determination

description: Related Article: P.Y.Zavalij, Shoufeng Yang, M.S.Whittingham|2004|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.19375211.v1
title: Diversity and antimicrobial activity of marine nudibranch associated bacteria against tropical human skin pathogens

description: Bacteria associated with three species of marine nudibranchs (<i>Jorunna funebris</i>,<i> Gymnodoris rubropapulosa,</i> and <i>Glossodoris atromarginata</i>) sampled from Jepara coastal waters, the North Java Sea in August 2020. A total of 115 bacterial strains were selected for their prospective antipathogenic compounds against the pathogens <i>Cutibacterium </i>[LT1] [AS2] <i>acnes</i>, <i>Staphylococcus aureus</i>, <i>Candida albicans,</i> and <i>Malassezia furfur</i>. <br>
DOI: 10.6084/m9.figshare.20417658.v1
title: Geographical clusters of dengue outbreak in Singapore during the COVID-19 nationwide lockdown of 2020

description: Dengue, a mosquito-transmitted viral disease, has posed a public health challenge to Singaporean residents over the years. In 2020, Singapore experienced an unprecedented dengue outbreak. We collected a dataset of geographical dengue clusters reported by the National Environment Agency (NEA) from 15 February to 9 July in 2020, covering the nationwide lockdown associated with COVID-19 during the period from 7 April to 1 June. NEA regularly updates the dengue clusters during which an infected person may be tagged to one cluster based on the most probable infection location (residential apartment or workplace address), which is further matched to fine-grained spatial units with an average coverage of about 1.35 km2. Such dengue cluster dataset helps not only reveal the dengue transmission patterns, but also reflect the effects of lockdown on dengue spreading dynamics. The resulting data records are released in simple formats for easy access to facilitate studies on dengue epidemics.
DOI: 10.17632/xxpwj354y9.1
title: Synthetic Thermal Comfort Profiles using ASHRAE thermal comfort databases I & II

description: This dataset comprises synthetic comfort profiles generated using ASHRAE global thermal comfort database I & II.

There are two main folders. The first folder named "Plots", and contains 8 subfolders. Each subfolder contains 50 profiles for the specific climate and season. The first letter represents the climate and the second letter represents the season. For example: AS - climate A for summer season.

The second folder named "Raw_Data_Profiles" contains the raw data (in CSV format) that makes the profiles. Each CSV file contains 51 rows. The first row includes the operative temperatures in degrees C. The other 50 rows include the raw data for the profiles. We used the following name convention: 
First Character - climate type; Second Character - Season (Summer -S, Winter -W); Cold - Probability of Cold discomfort - Comf - Probability of Comfort Warm - Probability of Warm discomfort.

This dataset is part of the work from the paper "Quantifying the Impact of Personal Comfort Systems on Thermal Satisfaction and Energy Consumption in Office Buildings under Different U.S. Climates", Al Jebaei H, Aryal A. Please cite the paper if your work uses these comfort profiles. For more information please contact Hussein Al Jebaei at: husseinaljebaei@tamu.edu
DOI: 10.5441/002/edbt.2016.51
title: Characterizing Home Device Usage From Wireless Traffic Time Series
DOI: 10.17632/df849pph9r.1
title: OS_2022_WAVES_EDDY

description: These files contain the WAVEWATCH-III wave simulation outputs in a netcdf format in both the initial (suffix _INI_) and the fully developed eddy (suffix _UNST_). To reproduce the figure of Marechal and de Marez 2022 plot the last time output to be sure that the wave field is stationary. The files contain different wave parameter fields in a eddy field both dynamical at the meso- and submesoscale. range.

The format of the files is: ww3.196806_<shape_of-the_vortex>_<peak_period_of_the_incident_waves>sec.nc

-ray_tracing_outputs: ray tracing over the vortex
-SNL: numerical outputs where the nonlinear wave-wave interaction is activated.
DOI: 10.4121/uuid:2d0018ea-fecc-4d19-8532-5a718c9f28ca
title: Data underlying the paper: Application of ensemble transform data assimilation methods for parameter estimation in reservoir modeling

description: A dataset for the article "Application of ensemble transform data assimilation methods for parameter estimation in reservoir modeling" by S. Ruchi and S. Dubinkina in Nonlin. Processes Geophys. 2018 Accurate estimation of subsurface geological parameters, e.g. permeability, is essential for the oil industry. This is done by combining observations of pressure with a mathematical model using data assimilation. We show that computationally affordable ensemble transform data assimilation methods are suitable for the parameter estimation. For a small number of uncertain parameters, ensemble transform particle filter performs comparably to ensemble transform Kalman filter in terms of the mean estimation. For a large number of uncertain parameters, ensemble transform particle filter performs comparably to ensemble transform Kalman filter only when either localization or the leading modes are used.
DOI: 10.5258/soton/d2116
title: Data set for "10 cm special resolution distributed acoustic sensor based on ultra low-loss enhanced backscattering fiber"

description: The data set provided represents the data plotted on the figures on the journal paper titled "10-cm spatial resolution distributed acoustic sensor based on an ultra low-loss enhanced backscattering fiber" Optics Continuum
DOI: 10.6073/pasta/f6afa728bb5edfd79f458d7d5e23f559
title: Assessing Plant Phenological Patterns in the Eastern United States Over the Last 120 Years

description: Phenology is a key biological trait of an organism’s success and is one of the best indicators of its response to recent climate change. Plants are among the most well-studied organisms in this regard, but observational data bearing on this topic are largely restricted to woody species of the northern hemisphere, mostly from ca. the last three decades. Recent research has demonstrated that mobilized online herbarium specimens provide important, albeit mostly neglected, information on plant phenology. Here, we use the web tool CrowdCurio to crowdsource phenological data from more than 10,000 herbarium specimens representing 30 flowering plant species broadly distributed across the eastern United States. Our results, spanning 120 years and generated from over 2,000 crowdsourcers, clarify numerous aspects of plant phenology. First, they reveal that plant reproductive phenology is significantly advancing in response to warming, which is consistent with previous studies. Second, among those species with broad latitudinal ranges, populations from more southern latitudes are significantly more phenologically sensitive to temperature than those from northern populations. Last, contrary to some recent findings, plants in warmer, less variable climates may be much more dynamic, on average, in their phenological sensitivity. Our results are robust to a variety of confounding factors and span large phylogenetic distances and myriad life histories. These may represent more global trends in the latitudinal gradient of phenological response with myriad potential ecological and evolutionary consequences, and leads us to hypothesize that phenological sensitivity across species' ranges is driven by adaptation to local climates.