cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3957207
title: Evapotranspiration data of the TERENO sites Graswang and Fendt for 2013 and 2014 measured by eddy-covariance and lysimeters

description: Further details on this data set can be found in the following papers: Mauder, M., Genzel, S., Fu, J., Kiese, R., Soltani, M., Steinbrecher, R., Kunstmann, H., Zeeman, M., Banerjee, T., Roo, F. De, De Roo, F., Kunstmann, H. and Zeeman, M.: Evaluation of energy balance closure adjustment methods by independent evapotranspiration estimates from lysimeters and hydrological simulations, Hydrol. Process., 32(October), 39–50, doi:10.1002/hyp.11397, 2018. Widmoser, P. and Michel, D.: Partial energy balance closure of eddy covariance evaporation measurements using concurrent lysimeter observations over grassland, Hydrol. Earth Syst. Sci. Discuss., (July), doi:10.5194/hess-2020-299, 2020.
description: The sites Graswang and Fendt are part of the TERENO observatory, which is funded by the Helmholtz Association and the Federal Ministry of Education and Research.
description: {"references": ["https://doi.org/10.5194/hess-2020-299", "https://doi.org/10.1002/hyp.11397", "http://dx.doi.org/10.1016/j.agrformet.2012.09.006"]}
DOI: 10.6084/m9.figshare.3761562.v1551
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: 10.7910/dvn/vbqjfy/5bz39b
title: 1_Smith-GreenawayWeitzman2020PLOSOne_replication_append_final.do

description: This do-file appends DHS data.
DOI: 10.7910/dvn/vbqjfy/7xww4v
title: 2_Smith-GreenawayWeitzman2020PLOSOne_replication_genestimates_final.do

description: This do-file makes use of appended DHS data to generate all estimates shown in manuscript.
DOI: 10.7910/dvn/vbqjfy/ommx7l
title: 2_Smith-GreenawayWeitzman2020PLOSOne_replication_generate_estimates.do

description: This do-file makes use of appended DHS data to generate all estimates shown in manuscript.
DOI: 10.5281/zenodo.3897182
title: Dagstuhl ChoirSet

description: Dagstuhl ChoirSet is a multitrack dataset of a cappella choral music designed to support MIR research on choral singing. The dataset includes recordings of an amateur vocal ensemble performing two choir pieces in full choir and quartet settings. The audio data was recorded during an MIR seminar at Schloss Dagstuhl using different close-up microphones to capture the individual singers’ voices. A detailed documentation of this dataset can be found in: Sebastian Rosenzweig, Helena Cuesta, Christof Weiß, Frank Scherbaum, Emilia Gómez, and Meinard Müller:<br> <strong>Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing</strong>.<br> Transactions of the International Society for Music Information Retrieval, X(X), pp. 1–13, 2020.<br> DOI: https://doi.org/10.5334/tismir.48
DOI: 10.26182/5f1936836a1c4
title: Brassica oleracea, rapa, napus pangenome data
DOI: 10.5281/zenodo.3957235
title: Database with linear codes

description: This data set contains generator matrices of linear codes classified with the programs <strong>Generation</strong> and <strong>LinCode</strong>. The results are presented in the paper "Computer classification of linear codes" by Iliya Bouyukliev, Stefka Bouyuklieva and Sascha Kurz in tables as numbers of inequivalent codes with the corresponding parameters. The classification results from each table are given in a separate directory consisting of files with generator matrices of the classified codes with certain length and dimension. For example, generator matrices of the enumerated ternary $[16,5,\ge 6]$ self-orthogonal codes are listed in a file named '16_5.rrr' in the folder "SOcodes_F3". The form of the matrices is the same as that used in <strong>Q-Extension</strong>.
DOI: 10.26050/wdcc/gcos_ehi_exp
title: Heat stored in the Earth system: Where does the energy go?

description: Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2018. Summary: The dataset ‘Heat stored in the Earth system: Where does the energy go?’ contains a consistent long-term Earth system heat gain over the past 58 years. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. This Earth Energy Imbalance (EEI) is a fundamental metric of climate change. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory, and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2018.
DOI: 10.5525/gla.researchdata.1034
title: Assessment of how second year dental students recall molar tooth morphology from first year teaching: A drawing exercise

description: 3 figures and 3 tables regarding the data collected from second year dental students. The purpose was to see which tooth characteristics are often forgotten or incorrectly placed. This will be used to improve the tooth morphology teaching.
DOI: 10.5281/zenodo.3957279
title: the cif file of Fe, γ-Fe2O3 and γ-FeOOH

description: the cif file of Fe, γ-Fe2O3 and γ-FeOOH
DOI: 10.5281/zenodo.3957278
title: the cif file of Fe, γ-Fe2O3 and γ-FeOOH

description: the cif file of Fe, γ-Fe2O3 and γ-FeOOH
DOI: 10.25919/5f1949af58ef2
title: Parkes observations for project PX600 semester 2020APRS_11

description: The Galactic Center (GC) is a key target for the radio component of Breakthrough Listen (BL) program. Offering the largest amount of stars in any given direction in the sky, the GC is widely cited as a location believed to harbour advanced civilizations, and it is also the most energetic region in the Milky Way. We aim to conduct BL-GC Survey with Parkes radio telescope for around 350 hours. We will cover the frequency range from 700 MHz to 4 GHz, utilizing the newly installed ultra-wideband receiver. Our team has already leveraged both standard and bespoke tools to construct a flexible software stack to search data for signals of interest. We will look for signals from extraterrestrial intelligence (ETI) by searching for both simple narrow-band signals and complex modulated signals. Along with that, as an ancillary science, we will also search for accelerated pulsars — likely orbiting a supermassive black hole at the centre of the Milky Way Galaxy. Data products produced during this program will also be publically available to engage larger pulsar community
DOI: 10.25919/5f1949af59e0f
title: Parkes observations for project P1054 semester 2020APRS_03

description: With this proposal we ask time to begin a follow-up campaign of potential new discoveries from the TRAPUM (TRAnsients and PUlsars with Meerkat) survey, which is due to start in January 2020. About 10 new pulsars are expected to be found during the first semester of operations, in targeted pointings towards supernova remnants, pulsar wind nebulae and Fermi unidentified point sources. Timing observations have an essential role in exploiting the full potential of any pulsar discovery, allowing the precise measurement of rotational, astrometric and orbital parameters which, in turn, give us powerful tools to improve our understanding of the physics in extreme environments as well as of the population of neutron stars as a whole. The UWL receiver of the Parkes telescope is a sensitive, versatile instrument that will allow us to successfully time the bright-end of TRAPUM discoveries. We here request (up to) 2-hr long monthly observations of any new TRAPUM pulsar with a flux density at 1.4 GHz above $\sim 60 \mu$Jy.
DOI: 10.5281/zenodo.3957340
title: Replication File for Paper "The Role of Time, Weather and Google Trends in Understanding and Predicting Web Survey Response"

description: This updated zip file contains the necessary codes and data files to reproduce all the findings presented in the submitted and revised manuscript "The Role of Time, Weather and Google Trends in Understanding and Predicting Web Survey Response" (original title: "Effects of Time-Varying Predictors on Web Survey Response") by Qixiang Fang, Joep Burger, Ralph Meijers and Kees van Berkel. Compared with the last one, this new version no longer contains the parts related to the analysis of time-fixed effects, as these parts have also been left out in the revised manuscript. In the "Google Trends Data Retrievel and Calibration" folder, you can find two R code files. Using the "Daily GT Data Retrieval.R" file, you can download the Google Trends data we used for the study. Using the "Calibrate GT Data.R" file, you can see how we calibrated the raw Google Trends data. In the "Main Analysis and Plots" folder, you can find the data and R codes necessary to reproduce all of the analysis results and plots we presented. Check out the "README.txt" file under this folder for more information.
DOI: 10.5281/zenodo.3910960
title: Simultaneous Observations of electromagnetic ion cyclotron waves and magnetosonic waves

description: dataset of "Simultaneous Observations of electromagnetic ion cyclotron waves and magnetosonic waves."
DOI: 10.5281/zenodo.3910959
title: Simultaneous Observations of electromagnetic ion cyclotron waves and magnetosonic waves

description: dataset of "Simultaneous Observations of electromagnetic ion cyclotron waves and magnetosonic waves."
DOI: 10.5285/aadd4168-0398-14f5-e053-17d1a68b059d
title: Abundance and size of microplastic particles in filtered seawater samples collected on a north-south transect in the Atlantic Ocean during cruise AMT26 (JR16001), September - November 2016.

description: This dataset provides number counts and measurements of horizontal dimensions of polyethylene, polypropylene, polystyrene particles detected in filtered seawater samples collected at three discrete depths in the Atlantic Ocean along a north-south passage of cruise AMT26/JR16001 (September-November 2016). The number data are presented as total number counts of polymer-specific plastic particles detected in each pre-selected area of a filtered seawater sample (IR image marker). The measured horizontal dimensions of the polymer-specific plastic particles include i) maximum Feret diameter defined as the longest distance between any two points along the particle boundary and ii) particle length measured as length of major axis of the best fitting ellipse. Plastic particles were detected and identified using Fourier-Transform infrared imaging technique with their particle count and horizontal dimensions measured subsequently FIJI Image J software. The data on polymer-specific plastic counts can be used to assess the spatial/vertical abundance and distribution of plastic litter in the study area. The measured horizontal dimensions (in essence, particle size) can be used to investigate particle size distribution of plastic contaminants in the study area. Sample collection and analytical work was performed by Katsiaryna Pabortsava (NOC Southampton, UK). Note that both datasets represent the analysed subset of samples collected for microplastics analysis during AMT26/JR16001. The remaining samples are stored at NOC Southampton awaiting resources for analysis.
DOI: 10.5525/gla.researchdata.1031
title: Selective Delivery of Dicarboxylates to Mitochondria by Conjugation to a Lipophilic Cation via a Cleavable Linker
DOI: 10.14459/2019mp1553754
title: Impact of sensor housing geometries on transient stagnation pressure measurements in impulse facilities

description: This dataset is related to the publication “Impact of sensor housing geometries on transient stagnation pressure measurements in impulse facilities” and contains images, videos and figure data files. In the present study, we investigate the characteristic behavior of pressure sensors shielded by blunt and conical housings, and evaluate the specific influence of the housing dimensions on the stagnation pressure measurement in distinct flow conditions. Pressure signals of piezoelectric sensors were acquired and schlieren images visualizing the wave dynamics were recorded. We conducted additional numerical simulations to support our hypotheses concerning the flow inside the housings. Results indicate that the pressure signal for conical housings exhibits longer rise time and more pronounced oscillations compared to that for blunt housings. Enlarging the borehole diameter and reducing the cavity depth both shorten signal rise time but enhance overshoots. Additional experiments on the sensitivity to assembly misalignment, the effect of gelatin-filled housings and the performance of exposed sensors complete the study.
DOI: 10.5519/qd.1tk2ek5p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (394 records)
DOI: 10.5519/qd.9fqve648
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (150 records)
DOI: 10.15161/oar.it/30576
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.3907341
title: Data for "Towards standardized processing of eddy covariance flux measurements of carbonyl sulfide"

description: The final data set used in manuscript "Towards standardized processing of eddy covariance flux measurements of carbonyl sulfide" by Kohonen et al. (2020). The data set contains carbonyl sulfide (COS), carbon dioxide (CO2), carbon monoxide (CO) and water vapor (H2O) fluxes, together with flux ancillary data, measured at Hyytiälä forest in Juupajoki, Southern Finland, from July 2015 to October 2015. Hyytiala_COS_ECflux_2015.csv includes the quality screened flux data without u* filtering or storage correction. Final_ECfluxes_2015.dat includes the final data set of quality screened, u* filtered, storage corrected and gap-filled flux data. Raw data and data processed with other processing options are available upon request from the author.
DOI: 10.17178/erosion_model.2020
title: Modeled contributions of sediment sources to total suspended sediment flux in two mesoscale catchments

description: The application enables to show the contribution of erosion zones that act as sediment sources to total suspended sediment load in percent simulated with the IBER soil erosion model. Model output can be visualized for two mesoscale Mediterranean catchments in southeastern France, the 42 km2 Claduègne catchment and the 20 km2 Galabre catchment and for different sets of scenarios: (i) CDA threshold: The threshold of contributing drainage area (CDA) defines the length of the river network. Values were varied from 15 ha to 500 ha. (ii) Manning's n: river: Manning's roughness parameter in the river network. Values were varied from 0.025 to 0.1. (iii) Manning's n: hillslopes: Manning's roughness parameter on the hillslopes. Values were varied from 0.2 to 0.8. (iv) Source classification: Source classification based on connectivity, i.e. sediment sources were subdivided based on their distance to the outlet and their distance to the river. In addition to the modeled source contributions the time series of rainfall intensity, liquid and solid discharge can be displayed.
DOI: 10.25550/1-sjvc
title: FaceBase Bootcamp Data

description: Dataset created to host the zip file containing the test data to be used during the Bootcamp exercises. **Data associated to this dataset is only for testing purposes.** **Scroll down to the Supplementary Files section to download the test data**
DOI: 10.25550/1-t4za
title: This is a demo DATASET .... it contains data for E13.5 mouse experiments etc....

description: ### My Dataset - My first part shows - Then -Etc
DOI: 10.25550/1-rc7m
title: FaceBase Hub. FaceBase Demo

description: This is a dummy project intended for demonstration of FaceBase dataset creation, curation and data upload process. Datasets associated to this project should not be treated as real data.
DOI: 10.5281/zenodo.3957501
title: Analysis of Network of Discourse, Nature

description: <strong>Note:</strong> This dataset is also available as a Git repository, currently located at https://codeberg.org/cpence/nature-debate.charlespence.net. This is the raw data accompanying a network analysis of biologists participating in the "biometry-Mendelism" debate, as it occurred in the correspondence pages of the journal <em>Nature,</em> between 1890 and 1915. It accompanies the following book chapter: Pence, Charles H. forthcoming (likely 2021). "How Not to Fight About Theory: The Debate Between Biometry and Mendelism in <em>Nature</em>, 1890–1915." In De Block, A. and Ramsey, G., eds., <em>The Dynamics of Science: Computational Frontiers in History and Philosophy of Science.</em> Pittsburgh, PA: Univ. of Pittsburgh Press.
description: {"references": ["Pence, Charles H. forthcoming (likely 2021). \"How Not to Fight About Theory: The Debate Between Biometry and Mendelism in Nature, 1890\u20131915.\" In De Block, A. and Ramsey, G., eds., The Dynamics of Science: Computational Frontiers in History and Philosophy of Science. Pittsburgh, PA: Univ. of Pittsburgh Press."]}
DOI: 10.5281/zenodo.3957500
title: Analysis of Network of Discourse, Nature

description: <strong>Note:</strong> This dataset is also available as a Git repository, currently located at https://codeberg.org/cpence/nature-debate.charlespence.net. This is the raw data accompanying a network analysis of biologists participating in the "biometry-Mendelism" debate, as it occurred in the correspondence pages of the journal <em>Nature,</em> between 1890 and 1915. It accompanies the following book chapter: Pence, Charles H. forthcoming (likely 2021). "How Not to Fight About Theory: The Debate Between Biometry and Mendelism in <em>Nature</em>, 1890–1915." In De Block, A. and Ramsey, G., eds., <em>The Dynamics of Science: Computational Frontiers in History and Philosophy of Science.</em> Pittsburgh, PA: Univ. of Pittsburgh Press.
description: {"references": ["Pence, Charles H. forthcoming (likely 2021). \"How Not to Fight About Theory: The Debate Between Biometry and Mendelism in Nature, 1890\u20131915.\" In De Block, A. and Ramsey, G., eds., The Dynamics of Science: Computational Frontiers in History and Philosophy of Science. Pittsburgh, PA: Univ. of Pittsburgh Press."]}
DOI: 10.5281/zenodo.3957521
title: LG-covid19-HOTP: Literature Graph of Scholarly Articles Relevant to COVID-19 Study

description: Parallel to the dataset CORD-19 of scholarly articles, we provide the literature graph LG-covid19-HOTP composed of not only articles (graph nodes) that are relevant to the study of coronavirus, but also in and out citation links (directed graph edges) to base navigation and search among the articles. The article records are related and connected, not isolated. The graph has been updated weekly since March 26, 2020. The current graph includes <strong>42,279</strong> hot-off-the-press (HOTP) articles since January 2020. It contains <strong>485,097</strong> articles and <strong>4,259,944</strong> links. The link-to-node ratio is remarkably higher than some other existing literature graphs. In addition to the dataset we provide more functionalities at lg-covid-19-hotp.cs.duke.edu such as new articles, weekly meta-data analysis in terms of publication growth over time, ranking by citation, and statistical near-neighbor embedding maps by similarity in co-citation, and similarity in co-reference. Since April 11, we have enabled a novel functionality - self-navigated surf-search over the maps. At the site we also take courtesy input of COVID-19 articles that are missing from the current collection.
description: {"references": ["Semantic Scholar Open Research Corpus. 2019. Version 2019-11-01. Retrieved from http://s2-public-api-prod.us-west-2.elasticbeanstalk.com/corpus/download/. Accessed 2019-12-06.", "Elsevier Scopus Citation Overview API. Accessed 2020-03-25.", "COVID-19 Open Research Dataset (CORD-19). 2020. Version 2020-03-20. Retrieved from https://pages.semanticscholar.org/coronavirus-research. Accessed 2020-03-26. 10.5281/zenodo.3727291", "Crossref REST API. Available at www.crossref.org. Accessed 2020-03-25."]}
DOI: 10.5281/zenodo.3728215
title: LG-covid19-HOTP: Literature Graph of Scholarly Articles Relevant to COVID-19 Study

description: Parallel to the dataset CORD-19 of scholarly articles, we provide the literature graph LG-covid19-HOTP composed of not only articles (graph nodes) that are relevant to the study of coronavirus, but also in and out citation links (directed graph edges) to base navigation and search among the articles. The article records are related and connected, not isolated. The graph has been updated weekly since March 26, 2020. The current graph includes <strong>42,279</strong> hot-off-the-press (HOTP) articles since January 2020. It contains <strong>485,097</strong> articles and <strong>4,259,944</strong> links. The link-to-node ratio is remarkably higher than some other existing literature graphs. In addition to the dataset we provide more functionalities at lg-covid-19-hotp.cs.duke.edu such as new articles, weekly meta-data analysis in terms of publication growth over time, ranking by citation, and statistical near-neighbor embedding maps by similarity in co-citation, and similarity in co-reference. Since April 11, we have enabled a novel functionality - self-navigated surf-search over the maps. At the site we also take courtesy input of COVID-19 articles that are missing from the current collection.
description: {"references": ["Semantic Scholar Open Research Corpus. 2019. Version 2019-11-01. Retrieved from http://s2-public-api-prod.us-west-2.elasticbeanstalk.com/corpus/download/. Accessed 2019-12-06.", "Elsevier Scopus Citation Overview API. Accessed 2020-03-25.", "COVID-19 Open Research Dataset (CORD-19). 2020. Version 2020-03-20. Retrieved from https://pages.semanticscholar.org/coronavirus-research. Accessed 2020-03-26. 10.5281/zenodo.3727291", "Crossref REST API. Available at www.crossref.org. Accessed 2020-03-25."]}
DOI: 10.5281/zenodo.3950116
title: The Many Faces of CI - Reproduction Package

description: This is a reproduction package for our paper on continuous practices in software organizations.
DOI: 10.5281/zenodo.3766139
title: Geometric renormalization unravels self-similarity of the multiscale human connectome

description: Connectomes (edge list) and their hyperbolic maps (coordinates and parameters), as well as the GR flows for 84 healthy subjects in the UL and HCP datasets used in "Geometric renormalization unravels self-similarity of the multiscale human connectome".
DOI: 10.5281/zenodo.3766138
title: Geometric renormalization unravels self-similarity of the multiscale human connectome

description: Connectomes (edge list) and their hyperbolic maps (coordinates and parameters), as well as the GR flows for 84 healthy subjects in the UL and HCP datasets used in "Geometric renormalization unravels self-similarity of the multiscale human connectome".