cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3344525
title: Model files for AI Matrix benchmarks

description: The model files for partial AI matrix benchmarks
DOI: 10.17632/x4wz7fbvdg.1
title: Data for: Insight into the Catalytic Mechanism of NO Oxidation and the Role of NO2 in Fast Selective Catalytic Reduction DeNOx at Low-Temperature over MnOx/TiO2 Catalyst

description: The calculation details of the proposed surface states including the optimized results, ZPE correction and TS script for calculating Gibbs free energy.
DOI: 10.17632/wdn9vfnb4f.1
title: Data for: The oxidation state and coordination environment of antimony in silicate glasses

description: Sb K-edge XANES and EXAFS spectra of synthetic MORB and CMAS glasses prepared as a function of oxygen fugacity and pressure.
DOI: 10.5281/zenodo.3343042
title: Supporting Model Code and Output for https://doi.org/10.5194/gmd-2019-78, 2019

description: Model code and timeseries output for Travis et al. 2019 (GMD) https://doi.org/10.5194/gmd-2019-78, 2019.
DOI: 10.5281/zenodo.3343313
title: Montolo

description: To understand how current RDF-based ontologies are modeled we created <strong>Montolo</strong> which currently describes concepts related to restrictions in ontologies and RDF DataCube-related measures and dimensions.<br> Ontologies which are built with the RDF framework consist of concepts and relationship between these concepts. <br> Additionally to concepts and relationships, several restrictions in the form of axioms can be defined using terms of the RDFS and OWL vocabulary.
DOI: 10.17632/c37xhdsjvg.1
title: Data for: Bilinguals apply language-specific grain sizes during sentence reading

description: Research data
DOI: 10.21227/bz3v-f647
title: Measurements of cancer cell proliferation using a Lab-on-CMOS capacitance sensor with time-lapse imaging

description: Monitoring cell viability and proliferation in real-time provides a more comprehensive picture of the changes cells undergo during their lifecycle than can be achieved using traditional end-point assays. Our lab has developed a CMOS biosensor that monitors cell viability through high-resolution capacitance measurements of cell adhesion quality. The system consists of a 3 × 3 mm2 chip with an array of 16 sensors, on-chip digitization, and serial data output that can be interfaced with inexpensive off-the-shelf components. This dataset contains measurements from in vitro experiments where human ovarian cancer cells (CP70, A2780) were cultured directly on top of the CMOS biosensor. Cells were allowed to grow and proliferate before being exposed to cisplatin, a chemotherapeutic agent. The dataset consists of the capacitance measurements along with images of the sensor surface taken at different times during experiments. Several of the experiments additionally have concurrent time-lapse images to allow for sensor data correlation.
DOI: 10.5281/zenodo.3343332
title: Model files for AI Matrix benchmarks

description: The model files for partial AI matrix benchmarks
DOI: 10.17632/fs9ymr9pjm.1
title: Data for: Role of organic cation in modern Lead-based Perovskites.

description: The files contain the optimized structures of the different cells used in this work.
DOI: 10.20392/145bb060-8b46-4adf-8a2d-92b37cb163ff
title: Two-point method for faster acquisition of FFC-MRI images

description: This dataset contains the data created for the development of the two-points method.
DOI: 10.20392/33e14029-f3c9-4b98-8b8c-6260e922003e
title: Passenger Probe Kit study

description: Scanned material from cultural probes study as part of the Social Journeys project within dot.rural.
DOI: 10.20392/5b808a41-2469-476f-880d-e703112aa54a
title: Selected Public Transport Timetables for Scottish Borders

description: Timetable information for eight bus routes in the Scottish Borders, operated by First South East and Central Scotland. Data is formatted as Resource Description Framework (RDF) and stored in a Jena TDB dataset (see http://jena.apache.org/documentation/tdb/ for details of how to load and access the data).
DOI: 10.20392/ab2bad51-318f-401c-8070-65b2d3a33a85
title: GTM_code

description: The GTM is a global mathematical model of translation of mRNAs by ribosomes. The model is based on the Totally Asymmetric Simple Exclusion Process (TASEP) and it includes competition for ribosomes and tRNAs among the mRNAs, as well as competition among tRNAs for the aminoacyl-tRNA synthetases. Use of this material is granted under conditions defined by the Attribution-NonCommercial CC BY-NC creative commons licence.
DOI: 10.20392/f5cf8668-f567-425f-a632-1f5ded26642b
title: Variable Temperature Neutron Diffraction Study of NdMn1-xCoxAsO0.95F0.05 (x = 0 - 0.12)

description: Variable temperature neutron diffraction data recorded on GEM, ISIS from 5 K - 400 K.
DOI: 10.20392/1765a213-bda5-4cba-a2f7-fe7cea98c61c
title: Magnetic data for CeMnAsO1-xFx (x = 0.025, 0.05 and 0.075) and NdMn1-xCoxAsO0.95F0.05 (x = 0.03 - 0.15)

description: Variable temperature magnetic susceptibility data from 4 K - 400 K recorded at the University of Edinburgh.
DOI: 10.20392/41ab910d-d9c8-4986-a927-e3f942659784
title: Variable Temperature Synchrotron Diffraction Data of NdMnAsO0.95F0.05

description: Variable temperature synchrotron X-ray diffraction data on the CMR material NdMnAsO0.95F0.05 recorded from 4 - 300 K on beamline ID31, ESRF.
DOI: 10.20392/6d6dede0-1b2a-49c9-983f-4d13db66a476
title: Benefits and costs of emphasis adaptation in study workflows

description: Data for the workshop paper N. Tintarev, M. Green, J. Masthoff, and F. Hermens. Benefits and risks of emphasis adaptation in study workflows. The 5th International Workshop on Personalization Approaches in Learning Environments (PALE)1 took place on June 30th, 2015 and was held in conjunction with the 23rd conference on User Modeling, Adaptation, and Personalization (UMAP 2015). PALE 2015 was a follow-up of the four previous editions of PALE (which took place at UMAP 2011 – 2014).
DOI: 10.20392/b150b3ba-e143-43f3-bae8-1b04fcf84ae7
title: High pressure neutron diffraction data for NdMnAsO0.95F0.05

description: High pressure neutron data recorded on the WISH diffractometer at ISIS in pressures up to 4 GPa
DOI: 10.20392/d600a8fb-9d5b-455c-b29c-9ad2ce9b3846
title: Scrutable Autonomous Systems - Aggregation experiment 2

description: This data set is from a second self-paced reading experiment on aggregation that was done as part of the Scrutable Autonomous Systems project at the University of Aberdeen.
DOI: 10.20392/ec7be9f2-3d53-42df-a854-031e95eb2c73
title: Rural Crafting Communities in the Digital Age Dataset

description: Images taken of participatory mapping exercise
DOI: 10.20392/2d277e63-6e4d-4d23-8751-b11406354355
title: Sensor data - Food Safety Assurance : combining provnace and the internet of things.

description: Raw temperature sensor readings collected in a commercial kitchen environment as part of the FOOD SAFETY ASSURANCE: COMBINING PROVENANCE & THE INTERNET OF THINGS project.
DOI: 10.17632/76mfwm4g5h.1
title: Data for: A novel concept of posterior decompression and instrumented fusion with selective lordotic correction for cervical ossification of the posterior longitudinal ligament

description: The recovery rate of Japanese Orthopedic Association (JOA) score with K-line (-) cervical ossification of the posterior longitudinal ligament (OPLL) for posterior decompression with in-situ fusion (PDF) tends to be lower than that of anterior decompression with fusion (ADF). However, ADF is a technically demanding operation and has ADF-specific complications. This prospective report introduced a novel concept of PDF with selective lordotic correction as well as prophylactic foraminal decompression.
DOI: 10.25345/c57d3z
title: MassIVE MSV000084110 - High-Throughput Single Cell Proteomics Enabled by Multiplex Isobaric Labeling in a Nanodroplet Sample Preparation Platform
title: Single cell proteomics data from three murine cell lines (Raw, SVEC4-10, C10) and HeLa cell lysate. Samples were digested with trypsin and labeled with TMT 10-Plex on a small scale using nanoPOTS, followed by LC-MS/MS analysis.
DOI: 10.5281/zenodo.3344714
title: BCdatabaser - its2.viridiplantae.EUgenera.2019-07-19.zip

description: Parameters: --marker-search-string ITS2 OR 'internal transcribed spacer2' --taxonomic-range Viridiplantae --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.5281/zenodo.3344715
title: BCdatabaser - its2.viridiplantae.EUgenera.2019-07-19.zip

description: Parameters: --marker-search-string ITS2 OR 'internal transcribed spacer2' --taxonomic-range Viridiplantae --sequence-length-filter 100:2000 --sequences-per-taxon 9
description: This dataset was automatically created with data from NCBI using the BCdatabaser tool
description: {"references": ["Keller et al. (2019) BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. EcoEvoRxiv (2019); https://doi.org/10.32942/osf.io/cmfu2 - https://github.com/molbiodiv/bcdatabaser", "eutils: Sayers E. E-utilities Quick Start. 2008 Dec 12 [Updated 2018 Oct 24]. In: Entrez Programming Utilities Help [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2010-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK25500/", "NCBI::Taxonomy: F\u00f6rster et al. https://github.com/greatfireball/NCBI-Taxonomy - F\u00f6rster F. greatfireball/NCBI-Taxonomy v0.90. Zenodo. 2018 Oct 15; https://doi.org/10.5281/zenodo.1462861", "SeqFilter: Hackl et al. https://github.com/BioInf-Wuerzburg/SeqFilter", "dispr: Cofield et al. https://github.com/douglasgscofield/dispr", "Krona: Ondov BD, Bergman NH, and Phillippy AM. Interactive metagenomic visualization in a Web browser. BMC Bioinformatics. 2011 Sep 30; 12(1):385."]}
DOI: 10.5281/zenodo.3273294
title: Data and code from: Evaluating spatially explicit density estimates of unmarked wildlife detected by remote cameras.

description: Detection data from American black bears and code used in "Evaluating spatially explicit density estimates of unmarked wildlife detected by remote cameras" published in the Journal of Applied Ecology (Evans & Rittenhouse 2018). Unmarked detection data was collected using remote cameras in northwest Connecticut in 2014, and individual detection data was determined from unique genotypes obtained from non-invasive hair snares constructed at camera sampling locations. EN14.rds contains detection data as an R list: $y (num): J (sites) x K (occasions) matrix containing detection counts $X (int): 2 x J matrix of site coordinates $xlims (num): bounding x-coordinates $ylims (num): bounding y-coordinates $M (int): upper bound for super population of individuals $nTraps (int): number of sampling sites (J) $nReps (int): number of MCMC interations $forest (num): vector of site-specific covariates $mark (int): K x I matrix storing site numbers at which individual (i) was detected on occasion k FullModel.R provides functions used to fit constant density models to unmarked detections incorporating covariates of detection probability. partialID.R provides functions and code used to estimate density from mixtures of marked and unmarked detection data VariableDensity.R provides functions and code used to fit variable density models to unmarked detection data incorporating spatial covariates of density.
description: Version 1.0.1 includes previously omitted 'Full_Model.R' script file.
description: {"references": ["Chandler, SC & Royle, JA (2013). Spatially explicit models for inference about density in unmarked or partially marked populations. Annals of Applied Statistics, 7(2), 936\u2013954."]}
DOI: 10.17632/85k96zbps9.1
title: Data for: RMC/CTF Multiphysics Solutions to VERA Core Physics Benchmark Problem 9
DOI: 10.5061/dryad.vn5js14/1
title: Dryad Item 10.5061/DRYAD.VN5JS14/1

description: (:tba)
DOI: 10.5281/zenodo.3344488
title: Evolution of Formal Model-based Assurance Cases for Autonomous Robots: Supplemental Material

description: This report contains supplemental material for the paper Evolution of Formal Model-based Assurance Cases for Autonomous Robots accepted at Software Engineering and Formal Methods 2019 in Oslo. This material provides more details about the two discussed assurance case patterns, their implementation in Isabelle/SACM the instantiation of these patterns for the presented example, as well as Isabelle skripts for the theoretical part and the example.
DOI: 10.5281/zenodo.3344489
title: Evolution of Formal Model-based Assurance Cases for Autonomous Robots: Supplemental Material

description: This report contains supplemental material for the paper Evolution of Formal Model-based Assurance Cases for Autonomous Robots accepted at Software Engineering and Formal Methods 2019 in Oslo. This material provides more details about the two discussed assurance case patterns, their implementation in Isabelle/SACM the instantiation of these patterns for the presented example, as well as Isabelle skripts for the theoretical part and the example.
DOI: 10.5519/qd.lhqowcp7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17632/6k8fpbrd9s.1
title: Data for: Influence of measurement processes on pressure-specific volume-temperature relationships of semi-crystalline polymer: Polypropylene
DOI: 10.5281/zenodo.3239270
title: Building Stock and Building Typology of Kigali, Rwanda

description: Dynamically changing urban agglomerations in emerging countries in the Global South experience rapid changes in their urban extent and morphology, due to a growth of population and migration, as well as socioeconomic developments. It is important to have access to updated information on the qualitative and quantitative status of settlements, in order to monitor and inform the housing sector, spatial and infrastructure planning, municipal revenue collection and budgeting, and the supply of social services. Very high-resolution (VHR) multispectral satellite images are one important, cost effective, source of regular, updated, data on urban land-use and built-up areas. The authors acquired a Pléiades satellite image from August 2015 for the central part of the capital of Rwanda, Kigali. Object-based image analysis (OBIA) and expert-based post-classification were then applied to derive building footprints and building heights, and to assign all buildings to nine building archetypes. In a second step, building footprint data from aerial images of the same area in 2008-2009 were analysed, to identify the change of the building stock in the respective period. In total, 165,625 built entities have been detected for 2008-2009 and 211,458 for 2015; this entails a 27.7% increase in the number of buildings. The dataset presented is a completely revised version of a dataset that was used for a published report on the housing supply in Kigali in 2018.
description: The spatial dataset named EO4Kigali.shp is an ESRI polygon Shapefile (*.shp), which can be read by common Geoinformation Systems (GIS). A Shapefile stores the geometry and attributes of spatial features. Attributes are held in a dBASE® format file. The dataset is projected in WGS 84 / UTM zone 36S (EPSG: 32736). The shapefile comes with a Layer file (*.lyr) that provides an optional symbology for ESRI ArcGIS software packages, a Styled Layer Descriptor (*.sld) that provides an optional symbology for other GIS tools, as well as a QGIS metadata file (*.qmd).
description: {"references": ["Bachofer, F.; Braun, A.; Adamietz, F.; Murray, S.; d'Angelo, P.; Kyazze, E.; Mumuhire, A.P.; Bower, J. Building Stock and Building Typology of Kigali, Rwanda. Data 2019, 4, 105."]}
DOI: 10.5281/zenodo.3239271
title: Building Stock and Building Typology of Kigali, Rwanda

description: Dynamically changing urban agglomerations in emerging countries in the Global South experience rapid changes in their urban extent and morphology, due to a growth of population and migration, as well as socioeconomic developments. It is important to have access to updated information on the qualitative and quantitative status of settlements, in order to monitor and inform the housing sector, spatial and infrastructure planning, municipal revenue collection and budgeting, and the supply of social services. Very high-resolution (VHR) multispectral satellite images are one important, cost effective, source of regular, updated, data on urban land-use and built-up areas. The authors acquired a Pléiades satellite image from August 2015 for the central part of the capital of Rwanda, Kigali. Object-based image analysis (OBIA) and expert-based post-classification were then applied to derive building footprints and building heights, and to assign all buildings to nine building archetypes. In a second step, building footprint data from aerial images of the same area in 2008-2009 were analysed, to identify the change of the building stock in the respective period. In total, 165,625 built entities have been detected for 2008-2009 and 211,458 for 2015; this entails a 27.7% increase in the number of buildings. The dataset presented is a completely revised version of a dataset that was used for a published report on the housing supply in Kigali in 2018.
description: The spatial dataset named EO4Kigali.shp is an ESRI polygon Shapefile (*.shp), which can be read by common Geoinformation Systems (GIS). A Shapefile stores the geometry and attributes of spatial features. Attributes are held in a dBASE® format file. The dataset is projected in WGS 84 / UTM zone 36S (EPSG: 32736). The shapefile comes with a Layer file (*.lyr) that provides an optional symbology for ESRI ArcGIS software packages, a Styled Layer Descriptor (*.sld) that provides an optional symbology for other GIS tools, as well as a QGIS metadata file (*.qmd).
description: {"references": ["Bachofer, F.; Braun, A.; Adamietz, F.; Murray, S.; d'Angelo, P.; Kyazze, E.; Mumuhire, A.P.; Bower, J. Building Stock and Building Typology of Kigali, Rwanda. Data 2019, 4, 105."]}
DOI: 10.17632/b6d9y9bhkt.1
title: Data for: Deepwater to fluvio-deltaic stratigraphic evolution of a deglaciated depocenter: the early Permian Rio do Sul and Rio Bonito formations, southern Brazil

description: Localities described to construct the paper entitled “Deepwater to fluvio-deltaic stratigraphic evolution of a deglaciated depocenter: the early Permian Rio do Sul and Rio Bonito formations, southern Brazil”.
DOI: 10.25606/surf.578c6039-b552ea16
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-662)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 662 of the 2048³ resolution collection.
DOI: 10.25606/surf.578c6039-d199ae93
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-661)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 661 of the 2048³ resolution collection.
DOI: 10.25606/surf.578c6039-f6b1fff4
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-665)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 665 of the 2048³ resolution collection.
DOI: 10.3886/e110803v1
title: Uncertainty and Business Cycles Replication Files

description: This project contains the replication code, data, and README files for "Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response?"