cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/v3g-5zh-het
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1e8-q0j-fv6
title: Satyrinae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7d2-xl9-cwq
title: Danaini

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nbv-qb7-kpj
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/myv-q00-mmw
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nj5-vvc-03n
title: Satyrinae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s49-9pr-8nc
title: Danaini

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/87v-zxp-xnh
title: Danaini

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z6l-ccg-ybd
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.qqg8c3
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fundulopanchax sjostedti, Fundulopanchax traudeae, Fundulopanchax walkeri, Fundulosoma thierryi, Nothobranchius thierryi, Galaxias zebratus, Garra aethiopica, Garra allostoma, Garra andruzzii, Garra blanfordii, Garra congoensis, Garra dembecha, Garra dembeensis, Garra duobarbis, Garra ethelwynnae, Garra geba, Garra hindii, Garra ignestii, Garra lancrenonensis, Garra makiensis, Garra ornata, Garra regressus, Garra tana, Garra trewavasae, Garra waterloti, Gasterosteus aculeatus, Gazza minuta, Genyochromis mento, Genyomyrus donnyi, Gephyrochromis lawsi, Gephyrochromis moorii, Gephyroglanis congicus, Gephyroglanis gymnorhynchus, Gephyroglanis habereri, Gerres filamentosus, Gilchristella aestuaria, Glossogobius ankaranensis, Glossogobius callidus, Glossogobius giuris, Gnathochromis permaxillaris, Gnathonemus barbatus, Gnathonemus echidnorhynchus, Gnathonemus longibarbis, Gnathonemus petersii, Gobio gobio, Gobiocichla ethelwynnae, Gobiocichla wonderi, Gobioides sagitta, Gobiopsis pinto, Gobitrichinotus arnoulti, Gobius hypselosoma, Gogo arcuatus, Gogo atratus, Gogo brevibarbis, Gogo ornatus, Grammatotria lemairii, Grasseichthys gabonensis, Greenwoodochromis abeelei, Greenwoodochromis bellcrossi, Greenwoodochromis christyi, Greenwoodochromis staneri, Gymnallabes nops, Gymnallabes typus, Gymnarchus niloticus, Haplochromis acidens, Haplochromis aelocephalus, Haplochromis aeneocolor, Haplochromis akika, Haplochromis albertianus, Haplochromis altigenis, Haplochromis ampullarostratus, Haplochromis angustifrons, Haplochromis annectidens, Haplochromis antleter, Haplochromis apogonoides, Haplochromis arcanus, Haplochromis argens, Haplochromis argenteus, Haplochromis artaxerxes, Haplochromis avium, Haplochromis azureus, Haplochromis bakongo, Thoracochromis bakongo, Haplochromis barbarae, Haplochromis bareli, Haplochromis bartoni, Haplochromis bayoni, Haplochromis beadlei, Haplochromis bicolor, Haplochromis bloyeti, Haplochromis boops, Haplochromis brownae)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((1.1203 5.3273,1.1382 5.3438,1.1382 11.0599,-7.8618 11.0599,-7.8618 3.9537,-7.6185 3.8529,-5.722 4.551,-4.0045 4.7444,-1.8508 4.2719,0.3589 5.2679,1.1203 5.3273))"
 ]
}

 The dataset includes 86 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009626-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/8gq74e/rgvwrt
title: testData.tab

description: :unav
DOI: 10.7910/dvn/8gq74e
title: testData

description: A small data set used for test purposes.
DOI: 10.7910/dvn/unsiku/8cueqx
title: 1 minutes weight loss.pdf

description: :unav
DOI: 10.7910/dvn/rkd3wm
title: The 1 Minute Weight Loss

description: The ‘One Minute Weight Loss: The Truth About Exercise’ is a collection of the best tested, extremely effective and scientifically-proven ‘smart exercises’ which will help a person to lose weight with just an effort of one minute. These 60 seconds are a fundamental key to success in achieving your desired goal. A one-time smart exercise requires a minute of easy work out which has to be done daily five times a day making a total of 5 minutes daily. This video series is originated by Brian, a researcher and fitness instructor. He started finding it difficult to run during his high school’s daily 1-mile run. His breathing became faster, was heavily sweating and he came last. He had gone through a number of obstacles and hard work to be in better shape and wanted to live a healthy life as well. After failing so many times, he started researching on his own and the outcome is now widely known as ‘One Minute Weight Loss: The Truth About Exercise’. His work has become so popular that media has also covered him in a TV show, broadcasting his miraculous one minute workout.
DOI: 10.7910/dvn/rkd3wm/x96s78
title: 1 minutes weight loss.pdf

description: :unav
DOI: 10.13140/rg.2.2.33506.79049
title: SIR COLIN CAMPBELLS EVACUATES LUCKNOW GARRISON AND LEAVES BLOCKING FORCE AT ALAM BAGH NOVEMBER 1857
DOI: 10.25832/time_series/2019-05-15
title: Time series

description: Load, wind and solar, prices in hourly resolution. This data package contains different kinds of timeseries data relevant for power system modelling, namely electricity consumption (load) for 37 European countries as well as wind and solar power generation and capacities and prices for a growing subset of countries. The timeseries become available at different points in time depending on the sources. The data has been downloaded from the sources, resampled and merged in a large CSV file with hourly resolution. Additionally, the data available at a higher resolution (Some renewables in-feed, 15 minutes) is provided in a separate file. All data processing is conducted in python and pandas and has been documented in the Jupyter notebooks linked below.
DOI: 10.21943/auas.8152667
title: How nursing students' perceptions of community care and a redesigned curriculum interact; A longitudinal cohort study

description: This database represents data from 281 respondents with the purpose to measure their perceptions of community care with the measuring instrument SCOPE (Scale on Community Care Perceptions/ see references). Data collection took place at the Faculty of Health Of the Amsterdam University of Applied Sciences, the Netherlands. The respondents are all part of one single cohort of baccalaureate nursing students who started their education in September 2014. Data were collected at four timepoints in the same respondents once in each study year (1,2,3 and 4): around September/October 2014 (group is named 1414), February 2016 (group 1415), February 2017 (group 1416) and May 2018 (group 1417). This student cohort group underwent a new four-year curriculum containing more elements of community nursing. SCOPE is a 35-item scale containing: background variables, 11 measuring the affective component, 5 measuring community care perception as a placement, 17 as a future profession, 6 on students' preferences of areas in healthcare for a placement, and 2 on the reasons underlying student preference. The items in the three subscales have a range of 1-10. The placement and profession scale also have the option 11 (I don't know).<br>Filesets: 1 t/m 6: SPSS files (4 source files, 2 working files, a wide and a long version)7: SPSS syntax file8: PDF-file with a description of the variables9: PDF-file with the questionnaire SCOPE<br>Variables in merged file/ wide version (used in analysis):<br>1-241 correspond with items in SCOPE (the instrument is published by open access). The cohort name is added to each item242-245 correspond with sums of the variables in three subscales and total scale (name: @perceptotal)246-261 represents calculated means of each subscales and scale per cohort262 and 263 are calculations of the times a respondent mentioned a preference for rehabilitation (262) and the hospital (263)264 are calculations of the times a respondent did not participate, due to missing or drop-out.<br>The long version of the SPSS file is created to conduct a Mixed Method analysis, and it contains the same variables.<br>ContactBecause of the sensitive nature of the data, the fileset is confidential and will be shared only under strict conditions. For more information contact opensciencesupport@hva.nl
DOI: 10.21943/auas.8152739
title: Muscle strength is longitudinally associated with mobility among older adults after acute hospitalization

description: This database is a subset based on the Hospital ADL database and represents data from 391 acute hospitalised older adults. Directly identifying information was removed. <br>Data collection took place between September 2015 and June 2017 in six hospitals in the Netherlands. The study was approved by the Institutional Review board of the Amsterdam UMC, location AMC in the Netherlands (Protocol ID: AMC2015_150) and performed according to the Dutch Medical Research Involving Human Subjects Act and principles of the Declaration of Helsinki (1964). Local approval was additionally provided by all participating hospitals. Data were collected at four timepoints: admission to the hospital, discharge from hospital, one month post-discharge and three months post-discharge. <br>Muscle strength was measured by the maximal Handgrip strength (in kg) and mobility were measured with the de Morton Mobility Index (DEMMI) (in points). Demographic and psychosocial data (such as age, living situation body mass index, diagnosis, comorbidity, fatigue, depressives symptoms, fear of falling, nutrition) was collected at baseline. Detailed information on the protocol of the Hospital ADL study is published previously (Reichardt et al. 2016). <br>Because of the sensitive nature of the data, the dataset (SPSS file and syntax) is confidential and will be shared only under strict conditions. For more information contact researchdata-kcbsv@hva.nl<br>
DOI: 10.13016/lssb-knvi
title: Turnover versus Treadmilling in Actin Network Assembly and Remodeling

description: Actin networks are highly dynamic cytoskeletal structures that continuously undergo structural remodeling. One prominent way to probe these processes is via Fluorescence Recovery After Photobleaching (FRAP), which can be used to estimate the rate of turnover for filamentous actin monomers. It is thought that head-to-tail treadmilling and de novo filament nucleation constitute two primary mechanisms underlying turnover kinetics. More generally, these self-assembly activities are responsible for many important cellular functions such as force generation, cellular shape dynamics and cellular motility. In what relative proportions filament treadmilling and \textit{de novo} filament nucleation contribute to actin network turnover is still not fully understood. We used an advanced stochastic reaction-diffusion model in three dimensions, MEDYAN, to study turnover dynamics of actin networks containing Arp2/3, formin and capping protein at experimentally meaningful length- and timescales. Our results reveal that, most commonly, treadmilling of older filaments is the main contributor to actin network turnover. On the other hand, although turnover and treadmilling are often used interchangeably, we show clear instances where this assumption would not be justified, for example, finding that rapid turnover is accompanied by slow treadmilling in highly dendritic Arp2/3 networks.
DOI: 10.17632/8fpwdcygdh.1
title: Raw Data. Olive pomace LWA production
DOI: 10.5281/zenodo.2874342
title: Raw Diffraction Images: Formation of a highly dense tetra rhenium cluster in a protein crystal and its implications in medical imaging.

description: Exploration of a “time on shelf” protein structure containing the radiopharmaceutical synthon <em>fac</em>-[Re(CO)<sub>3</sub>(H<sub>2</sub>O)<sub>3</sub>]<sup>+ </sup>as an <em>in vivo</em> reaction vessel to form tetranuclear rhenium clusters appropriate for theranostic applications.That a protein crystal can serve as a chemical reaction vessel is intrinsically fascinating. That it can produce an electron dense tetranuclear rhenium cluster compound from a rhenium tricarbonyl tribromo starting compound adds to the fascination. The cluster has been synthesised before in vitro when it formed under basic conditions. Therefore its synthesis in a protein crystal grown at pH4.5 is even more unexpected. The X-ray crystal structures presented here are for the protein hen egg white lysozyme incubated with the rhenium tricarbonyl tribromo compound for periods of 1 year and 2 years. These reveal a completed, very well resolved, tetra rhenium cluster after two years and an intermediate state after 1 year where the carbonyl ligands to the rhenium cluster are not yet clearly resolved. A dense tetra-nuclear rhenium cluster, and its technetium form, offers enhanced medical imaging contrast. The raw diffraction images for the one year and two year protein structure, described in the manuscript, is made avaliable on the Zenodo repository.
description: Grant Funding Acknowledgement: South African National Research Foundation (UID 99139)
DOI: 10.5281/zenodo.3047034
title: Table of the Earthquake Environmental Effects of the 1992 Suusamyr Earthquake

description: Table of the Earthquake Environmental Effects of the 1992 Suusamyr Earthquake.
description: This study was funded by the Earthquakes without Frontiers project, NERC and ESRC grant code: EwF_NE/J02001X/1_1), by the Centre for Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET, GA/13/M/031), and by Looking inside the Continents from Space (LiCS) (NE/K011006/1).
DOI: 10.5281/zenodo.2874341
title: Raw Diffraction Images: Formation of a highly dense tetra rhenium cluster in a protein crystal and its implications in medical imaging.

description: Exploration of a “time on shelf” protein structure containing the radiopharmaceutical synthon <em>fac</em>-[Re(CO)<sub>3</sub>(H<sub>2</sub>O)<sub>3</sub>]<sup>+ </sup>as an <em>in vivo</em> reaction vessel to form tetranuclear rhenium clusters appropriate for theranostic applications.That a protein crystal can serve as a chemical reaction vessel is intrinsically fascinating. That it can produce an electron dense tetranuclear rhenium cluster compound from a rhenium tricarbonyl tribromo starting compound adds to the fascination. The cluster has been synthesised before in vitro when it formed under basic conditions. Therefore its synthesis in a protein crystal grown at pH4.5 is even more unexpected. The X-ray crystal structures presented here are for the protein hen egg white lysozyme incubated with the rhenium tricarbonyl tribromo compound for periods of 1 year and 2 years. These reveal a completed, very well resolved, tetra rhenium cluster after two years and an intermediate state after 1 year where the carbonyl ligands to the rhenium cluster are not yet clearly resolved. A dense tetra-nuclear rhenium cluster, and its technetium form, offers enhanced medical imaging contrast. The raw diffraction images for the one year and two year protein structure, described in the manuscript, is made avaliable on the Zenodo repository.
description: Grant Funding Acknowledgement: South African National Research Foundation (UID 99139)
DOI: 10.5281/zenodo.3047033
title: Table of the Earthquake Environmental Effects of the 1992 Suusamyr Earthquake

description: Table of the Earthquake Environmental Effects of the 1992 Suusamyr Earthquake.
description: This study was funded by the Earthquakes without Frontiers project, NERC and ESRC grant code: EwF_NE/J02001X/1_1), by the Centre for Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET, GA/13/M/031), and by Looking inside the Continents from Space (LiCS) (NE/K011006/1).
DOI: 10.17632/pw52v7bhvj.1
title: Selected time series from Bank of England database

description: This dataset covers variables that may be of interest in macroeconomic analysis
DOI: 10.5281/zenodo.1341582
title: PRONTO heterogeneous benchmark dataset

description: The PRONTO heterogeneous benchmark dataset is based on an industrial-scale multiphase flow facility. It includes data from heterogeneous sources, including process measurements, alarm records, high frequency ultrasonic flow and pressure measurements, an operation log and video recordings. The study collected data from various operational conditions with and without induced faults to generate a multi-rate, multi-modal dataset. The dataset is suitable for developing and validating algorithms for fault detection and diagnosis (FDD) and data fusion. 

When using the dataset please cite the following publication:

A. Stief, R. Tan, Y. Cao, J. R. Ottewill, N. F. Thornhill, J. Baranowski, A heterogeneous benchmark dataset for data analytics: Multiphase flow facility case study, Journal of Process Control, 79 (2019) 41–55, DOI: https://doi.org/10.1016/j.jprocont.2019.04.009

The dataset has been used in the following works:

A. Stief, R. Tan, Y. Cao, J. R. Ottewill. Analytics of heterogeneous process data: Multiphase flow facility case study. IFAC-PapersOnLine, 51(18):363–368, 2018. DOI: https://doi.org/10.1016/j.ifacol.2018.09.327

A. Stief, J. R. Ottewill, R. Tan, Y. Cao. Process and alarm data integration under a two-stage Bayesian framework for fault diagnostics. IFAC-PapersOnLine, 51(24):1220–1226, 2018. DOI: https://doi.org/10.1016/j.ifacol.2018.09.696

A. Stief, J. R. Ottewill, J. Baranowski. Investigation of the diagnostic properties of sensors and features in a multiphase flow facility case study. in: 12<sup>th</sup> IFAC Symposium on Dynamics and Control of Process Systems (in press), 2019

M. Lucke, X. Mei, A. Stief, M. Chioua, N. F. Thornhill. Variable selection for fault detection and identification based on mutual information of multi-valued alarm series, in: 12<sup>th</sup> IFAC Symposium on Dynamics and Control of Process Systems (in press), 2019

R. Tan, T. Cong, N. F. Thornhill, J. R. Ottewill, J. Baranowski. Statistical monitoring of processes with multiple operating modes, in: 12<sup>th</sup> IFAC Symposium on Dynamics and Control of Process Systems (in press), 2019.
DOI: 10.17632/xz5fx4s7x2.1
title: Alteration of cardiolipin-dependent mitochondrial coupling in muscle protects against obesity
DOI: 10.17632/ryt9hysnhc.3
title: Data-driven pre-design tool for Centrifugal Compressor - Supplementary data

description: This dataset is linked to the following paper: V. Mounier, C. Picard, J. Schiffmann. Data-Driven Predesign Tool for Small-Scale Centrifugal Compressor in Refrigeration. ASME. J. Eng. Gas Turbines Power. 2018;140(12):121011-121011-8. doi:10.1115/1.4040845. In this dataset, additional information about the data-driven compressor pre-design models is given. It includes the model coefficients with a precision in 1e-12, the goodness of fit and the contribution of each variable on the isentropic efficiency. This information is found in the file Additional_features_V2.docx. In addition, the matlab files of the pre-design models (isentropic efficiency and specific diameter) are given. Note that the equation of the specific diameter has been corrected compared to what has been described in the paper. Please use this equation to ensure the reproducibility of our results.
DOI: 10.17632/87g4pgm4g7.1
title: iPOND_WT_NT/HU

description: iPOND data_mESC_ NT vs HU_exp1 iPOND data_mESC_ NT vs HU_exp2
DOI: 10.17632/tfx8w7nszr.1
title: PREVENTIVE LASER PHOTOBIOMODULATION EVALUATION IN PATIENTS WITH HEAD AND NECK CANCER UNDERGOING RADIOCHEMOTHERAPY

description: Oral mucositis (OM) is one of the most frequent lesions in patients undergoing cancer treatment. This study aimed to evaluate the effect of laser photobiomodulation in the development of OM in patients with head and neck cancer. This randomized clinical study divided patients into two groups: the laser group (LG, n = 30) and the control group (CG, n = 24). The LG (InGaALP, 660 nm, 86.7 mW, 2 J/cm2) participated in the preventive protocol, while the CG underwent a simulated procedure without light emission. The degrees of OM, salivary flow, and referred pain were evaluated at five different periods of radiotherapy. Both groups showed a significant increase in the degree of OM (p &lt; 0.01). Regarding OM, salivary flow, and oral pain, there was no significant difference between the groups. The laser photobiomodulation protocol used in this study was not effective in preventing radiochemotherapy-induced OM.
DOI: 10.7910/dvn/dz4b2z/cwrw5z
title: Appendix 1.docx

description: :unav
DOI: 10.17632/pp8j9jtsyz.1
title: Data of the Impact of Aligning Business, IT, and Marketing Strategies on Firm Performance

description: This dataset represents assessments of triadic strategic alignment on organisational performance in Yemen. Survey data was self-administered during July 2014. The final data includes 208 complete cases.Data collected in a questionnaire survey of 242 Yemen managers.
DOI: 10.17632/pp8j9jtsyz.2
title: Data of the Impact of Aligning Business, IT, and Marketing Strategies on Firm Performance

description: This dataset represents assessments of triadic strategic alignment on organisational performance in Yemen. Survey data was collected using self-administered questionnaire during July 2014. The final data includes 208 complete cases.Data collected in a questionnaire survey of 242 Yemen managers.
DOI: 10.17632/dwrb56xrx6.1
title: PyFitit: the software for quantitative analysis of XANES spectra using machine-learning algorithms

description: X-ray absorption near-edge spectroscopy (XANES) is becoming an extremely popular tool for material science thanks to the development of new synchrotron radiation light sources. It provides information about charge state and local geometry around atoms of interest in operando and extreme conditions. However, in contrast to X-ray diffraction, a quantitative analysis of XANES spectra is rarely performed in the research papers. The reason must be found in the larger amount of time required for calculation of a single spectrum compared to a diffractogram. For such time-consuming calculations, in the space of several structural parameters, we developed an interpolation approach proposed originally by Smolentsev et al in FitIt code. The current version of this software, named PyFitIt, is a major upgrade version of FitIt and it is based on machine learning algorithms. We have chosen Jupyter Notebook framework to be friendly for users and at the same time being available for remastering. The analytical work is divided in two steps. First, the series of experimental spectra are analysed statistically and decomposed into principal components. Second, pure spectral profiles, recovered by principal components, are fitted by theoretical interpolated spectra. We implemented different schemes of choice of nodes for approximation and learning algorithms including Gradient Boosting of Random Trees, Radial Basis Functions and Neural Networks. The fitting procedure can be performed both for a XANES spectrum or for a difference spectrum, thus minimizing the systematic errors of theoretical simulations. The problem of several local minima is addressed in the framework of direct and indirect approaches.