cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3624924
title: CaLiGraph - A Large-Scale Semantic Knowledge Graph compiled from Wikipedia Categories and List Pages

description: CaLiGraph is a large-scale semantic knowledge graph with a rich ontology which is compiled from the DBpedia ontology, and Wikipedia categories & list pages. For more information, visit http://caligraph.org Information about uploaded files:<br> (all files are b-zipped and in the n-triple format)<br> <br> caligraph-metadata.nt.bz2<br> Metadata about the dataset which is described using void vocabulary. caligraph-ontology.nt.bz2<br> Class definitions, property definitions, restrictions, and labels of the CaLiGraph ontology. caligraph-ontology_dbpedia-mapping.nt.bz2<br> Mapping of classes and properties to the DBpedia ontology. caligraph-ontology_provenance.nt.bz2<br> Provenance information about classes (i.e. which Wikipedia category or list page has been used to create this class). caligraph-instances_types.nt.bz2<br> Definition of instances and (non-transitive) types. caligraph-instances_transitive-types.nt.bz2<br> Transitive types for instances (can also be induced by a reasoner). caligraph-instances_labels.nt.bz2<br> Labels for instances. caligraph-instances_relations.nt.bz2<br> Relations between instances derived from the class restrictions of the ontology (can also be induced by a reasoner). caligraph-instances_dbpedia-mapping.nt.bz2<br> Mapping of instances to respective DBpedia instances. caligraph-instances_provenance.nt.bz2<br> Provenance information about instances (e.g. if the instance has been extracted from a Wikipedia list page). dbpedia_caligraph-instances.nt.bz2<br> Additional instances of CaLiGraph that are not in DBpedia.<br> ! This file is no part of CaLiGraph but should rather be used as an extension to DBpedia. The triples use the DBpedia namespace and can thus be used to directly extend DBpedia. ! dbpedia_caligraph-types.nt.bz2<br> Additional types of CaLiGraph that are not in DBpedia.<br> ! This file is no part of CaLiGraph but should rather be used as an extension to DBpedia. The triples use the DBpedia namespace and can thus be used to directly extend DBpedia. ! dbpedia_caligraph-relations.nt.bz2<br> Additional relations of CaLiGraph that are not in DBpedia.z! This file is no part of CaLiGraph but should rather be used as an extension to DBpedia. The triples use the DBpedia namespace and can thus be used to directly extend DBpedia. ! <strong>Changelog</strong> v1.0.5 Fixed a bug that has declared CaLiGraph predicates as subclasses of owl:Predicate instead of being of the type owl:Predicate
DOI: 10.15129/e4f9103e-256c-42a7-9bc9-44a8227a4f22
title: Data for: "A Calibration-Free Methodology for Resonantly Enhanced Photoacoustic Spectroscopy using Quantum Cascade Lasers"

description: This dataset contains data in Excel format and plotted using OriginPro software for an article titled: "A Calibration-Free Methodology for Resonantly Enhanced Photoacoustic Spectroscopy using Quantum Cascade Lasers".
DOI: 10.7910/dvn/liu145/jjwosk
title: questionnaire Germany.docx

description: :unav
DOI: 10.7910/dvn/liu145/m3audg
title: questionnaire Canada.docx

description: :unav
DOI: 10.7910/dvn/liu145/mulcrf
title: dataset.tab

description: :unav
DOI: 10.7910/dvn/liu145/railue
title: questionnaire Denmark.docx

description: :unav
DOI: 10.7910/dvn/liu145/rpqwqe
title: questionnaire UK.docx

description: :unav
DOI: 10.7910/dvn/liu145/wdtbnt
title: questionnaire France.docx

description: :unav
DOI: 10.7910/dvn/liu145/4fonyg
title: questionnaire Italy.docx

description: :unav
DOI: 10.7910/dvn/liu145/6orkdz
title: syntax tab_2 tab_3 tab_b2 tab_b3 tab_b4.do

description: :unav
DOI: 10.7910/dvn/liu145/cinmmi
title: syntax tab_4 tab_b5 tab_b6 tab_b7.do

description: :unav
DOI: 10.7910/dvn/liu145/p0le3z
title: syntax tab_1_fig_1 tab_b1 fig_b1 fig_b2.do

description: :unav
DOI: 10.7910/dvn/liu145/yul8mr
title: questionnaire US.docx

description: :unav
DOI: 10.5519/qd.cnnxwc61
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1000 records)
DOI: 10.5281/zenodo.3625206
title: Dataset for Viscous Dissipation and Apparent Permeability of Gas Flow in Nano-Porous Media

description: Dataset for the Publication of 'Viscous Dissipation and Apparent Permeability of Gas Flow in Nano-Porous Media'.
DOI: 10.5286/isis.e.rb2000133
title: Modulation in Molecular Materials - Variable Temperature

description: Modulation occurs when there is ordering on two (or more) length scales. When the ratio of these is an integer, the modulation is said to be commensurate, i.e. one ordering is commensurate with the other. When the ratio is an irrational number it is said to be incommensurate and the periodicity of the two coincide rarely if ever. Modulation in solid-state materials is a well known phenomenon and the impact it can have on physical properties is understood within the research community. However, in molecular materials it has been reported rarely and is often seenas a curiosity, or worse, an inconvenience. With the advent of high intensity sources and increasingly sensitive detectors, it is becoming more difficult toignore these aperiodic features. We have been studying a series of compounds that show modulation in order to better understand its behaviour in the molecular solid state.
DOI: 10.5286/isis.e.rb2000133-1
title: Modulation in Molecular Materials - Variable Temperature

description: Modulation occurs when there is ordering on two (or more) length scales. When the ratio of these is an integer, the modulation is said to be commensurate, i.e. one ordering is commensurate with the other. When the ratio is an irrational number it is said to be incommensurate and the periodicity of the two coincide rarely if ever. Modulation in solid-state materials is a well known phenomenon and the impact it can have on physical properties is understood within the research community. However, in molecular materials it has been reported rarely and is often seenas a curiosity, or worse, an inconvenience. With the advent of high intensity sources and increasingly sensitive detectors, it is becoming more difficult toignore these aperiodic features. We have been studying a series of compounds that show modulation in order to better understand its behaviour in the molecular solid state.
DOI: 10.25919/5e28cd7a698fb
title: Automated Monitoring of Tweets for Early Detection of the 2014 Ebola Epidemic

description: The dataset consists of tweet IDs.
DOI: 10.18739/a2930nv5g
title: Thermal Weakening, Convergent Flow, and Vertical Heat Transport in the Northeast Greenland Ice Stream Shear Margins, 2019

description: This archive contains radar data and model output referenced in the paper "Thermal Weakening, Convergent Flow, and Vertical Heat Transport in the Northeast Greenland Ice Stream Shear Margins", published in the journal Geophysical Research Letters in 2019. Ice streams are bounded by abrupt transitions in speed called shear margins. Some shear margins are fixed by subglacial topography, but others are thought to be self‐organizing, evolving by thermal feedback to ice viscosity and basal drag which govern the stress balance of ice sheets. Resistive stresses (and properties governing shear‐margin formation) manifest nonuniquely at the surface, motivating the use of subsurface observations to constrain ice sheet models. In this study, we use ice‐penetrating radar data to evaluate three three-dimensional thermomechanical models of the Northeast Greenland Ice Stream, focusing on model reproductions of ice temperature (a primary control on viscosity) and subsurface velocity. Data/model agreement indicates elevated temperatures in the Northeast Greenland Ice Stream margins, with depth‐averaged temperatures between 2 degrees celsius and 6 degrees celsius warmer in the southeast margin compared to ice in streaming flow, driven by vertical heat transport rather than shear heating. This work highlights complexity in ice divergence across stagnant/streaming transitions.
DOI: 10.21227/7f37-hx89
title: ZUT-FIR-ADAS

description: Pedestrian detection has never been an easy task for computer vision and automotive industry. Systems like the advanced driver assistance system (ADAS) highly rely on far infrared (FIR) data captured to detect pedestrians at nighttime. The recent development of deep learning-based detectors has proven the excellent results of pedestrian detection in perfect weather conditions. However, it is still unknown what is the performance in adverse weather conditions. In this paper, it is introduced a 16bit thermal data dataset called ZUT (Zachodniopomorski Uniwersytet Technologiczny) having the most extensive variety of fine-grained annotated images captured in 4 biggest European Union countries captured during severe weather conditions. In addition to this, we also provide a synchronized Controller Area Network (CAN) bus data, including driving speed, brake pedal status, and outside temperature for future ADAS system development. Furthermore, we have tested and provided 16-bit depth modifications for Yolov3 deep neural network (DNN) based detector reaching mean Average Precision (mAP) up to 89.1%.
DOI: 10.21227/bdww-0980
title: ZUT-FIR-ADAS

description: Pedestrian detection has never been an easy task for computer vision and automotive industry. Systems like the advanced driver assistance system (ADAS) highly rely on far infrared (FIR) data captured to detect pedestrians at nighttime. The recent development of deep learning-based detectors has proven the excellent results of pedestrian detection in perfect weather conditions. However, it is still unknown what is the performance in adverse weather conditions. In this paper, it is introduced a 16bit thermal data dataset called ZUT (Zachodniopomorski Uniwersytet Technologiczny) having the most extensive variety of fine-grained annotated images captured in 4 biggest European Union countries captured during severe weather conditions. In addition to this, we also provide a synchronized Controller Area Network (CAN) bus data, including driving speed, brake pedal status, and outside temperature for future ADAS system development. Furthermore, we have tested and provided 16-bit depth modifications for Yolov3 deep neural network (DNN) based detector reaching mean Average Precision (mAP) up to 89.1%.
DOI: 10.21227/wphc-1f61
title: ZUT-FIR-ADAS

description: Pedestrian detection has never been an easy task for computer vision and automotive industry. Systems like the advanced driver assistance system (ADAS) highly rely on far infrared (FIR) data captured to detect pedestrians at nighttime. The recent development of deep learning-based detectors has proven the excellent results of pedestrian detection in perfect weather conditions. However, it is still unknown what is the performance in adverse weather conditions. In this paper, it is introduced a 16bit thermal data dataset called ZUT (Zachodniopomorski Uniwersytet Technologiczny) having the most extensive variety of fine-grained annotated images captured in 4 biggest European Union countries captured during severe weather conditions. In addition to this, we also provide a synchronized Controller Area Network (CAN) bus data, including driving speed, brake pedal status, and outside temperature for future ADAS system development. Furthermore, we have tested and provided 16-bit depth modifications for Yolov3 deep neural network (DNN) based detector reaching mean Average Precision (mAP) up to 89.1%.
DOI: 10.5281/zenodo.3625226
title: Regional Land Use mapping code and dataset for Early and Middle Neolithic Ireland (3750-3600 cal BC and 3600-3400 cal BC, respectively)

description: Dataset and mapping code associated with an example of regional land use mapping for prehistoric Ireland, produced for Fig 5 of paper by S. Harrison et al. '<em>Development and testing of scenarios for implementing Holocene LULC in Earth System Model Experiments'</em> submitted for publication to Geoscientific Model Development. Data points derive from <sup>14</sup>C dated archaeological sites and distributions of settlements and monuments that have been assigned to each archaeological period following the dataset published in McLaughlin et al. (2016).
description: The dataset for Figure 5 was generated from the 'Cultivating Societies: Assessing the Evidence for Agriculture in Neolithic Ireland' project, funded by the Heritage Council, Ireland, under the INSTAR programme 2008– 2010 (Reference 16682 to Whitehouse, Schulting, Bogaard and McClatchie).
description: {"references": ["McLaughlin, T. R., Whitehouse, N. J., Schulting, R. J., McClatchie, M., Barratt, P. and Bogaard, A.: The changing face of Neolithic and Bronze Age Ireland: A big data approach to the settlement and burial records. J. World Prehist., 29, 117-153. doi:10.1007/s10963- 016-9093-0, 2016."]}
DOI: 10.5281/zenodo.3625227
title: Regional Land Use mapping code and dataset for Early and Middle Neolithic Ireland (3750-3600 cal BC and 3600-3400 cal BC, respectively)

description: Dataset and mapping code associated with an example of regional land use mapping for prehistoric Ireland, produced for Fig 5 of paper by S. Harrison et al. '<em>Development and testing of scenarios for implementing Holocene LULC in Earth System Model Experiments'</em> submitted for publication to Geoscientific Model Development. Data points derive from <sup>14</sup>C dated archaeological sites and distributions of settlements and monuments that have been assigned to each archaeological period following the dataset published in McLaughlin et al. (2016).
description: The dataset for Figure 5 was generated from the 'Cultivating Societies: Assessing the Evidence for Agriculture in Neolithic Ireland' project, funded by the Heritage Council, Ireland, under the INSTAR programme 2008– 2010 (Reference 16682 to Whitehouse, Schulting, Bogaard and McClatchie).
description: {"references": ["McLaughlin, T. R., Whitehouse, N. J., Schulting, R. J., McClatchie, M., Barratt, P. and Bogaard, A.: The changing face of Neolithic and Bronze Age Ireland: A big data approach to the settlement and burial records. J. World Prehist., 29, 117-153. doi:10.1007/s10963- 016-9093-0, 2016."]}
DOI: 10.3886/e109285
title: Upright and Honorable Datasets

description: We predict that people use space as metaphor to make sense of honor and that this has downstream consequences for choice and shapes perception and that the effects of this metaphor are not limited to people high in honor values. People in China (Study 1) and the U.S. (Studies 1-3) associate honor with up and right and dishonor with down and left, separately from how much they endorse honor values (Studies 2, 3) and the association of positive with up (Study 3). Turning to the U.S. President, the more Trump supporters value honor, the more they prefer Trump in the up-right versus the down-left quadrant of an image --the reverse holds for Trump non-supporters (Study 4). The more Americans rate Trump as honorable, the more they perceive of photographs of him as reinforcing that --they see the images as presenting him as facing up-right toward honor (Study 5).<br>
DOI: 10.3886/e109285v2
title: Upright and Honorable Datasets

description: We predict that people use space as metaphor to make sense of honor and that this has downstream consequences for choice and shapes perception and that the effects of this metaphor are not limited to people high in honor values. People in China (Study 1) and the U.S. (Studies 1-3) associate honor with up and right and dishonor with down and left, separately from how much they endorse honor values (Studies 2, 3) and the association of positive with up (Study 3). Turning to the U.S. President, the more Trump supporters value honor, the more they prefer Trump in the up-right versus the down-left quadrant of an image --the reverse holds for Trump non-supporters (Study 4). The more Americans rate Trump as honorable, the more they perceive of photographs of him as reinforcing that --they see the images as presenting him as facing up-right toward honor (Study 5).<br>
DOI: 10.3886/e117344
title: Preventing Nuclear War

description: This study aimed to replicate and extend research by Sagan and Valentino (2017) that found almost 60% of the American public would approve of killing vast numbers of Iranian civilians with a nuclear bomb in hopes of ending a ground war that threatened the lives of 20,000 American troops. The two studies replicated the pattern of results in Sagan and Valentino and added to it in several important ways. We found the political differences observed by Sagan and Valentino and found them to be extreme. We also found the strong effects associated with emotional distancing and dehumanization using new questions (circles overlap) and the ascent of man figures. We, too, found that those who approved the nuclear option believed that it was ethical and the Iranian government was responsible for the killing of their civilians. In addition, we found insensitivity to a 20 fold increase in estimated casualties across two scenarios in Survey 1. The findings from the analyses of survey 1 were replicated in survey 2, substituting the drone retaliation decision for the nuclear weapons decision.
description: web-based survey~~
description: Smallest Geographic Unit: United States
description: Convenience sample
DOI: 10.3886/e117344v1
title: Preventing Nuclear War

description: This study aimed to replicate and extend research by Sagan and Valentino (2017) that found almost 60% of the American public would approve of killing vast numbers of Iranian civilians with a nuclear bomb in hopes of ending a ground war that threatened the lives of 20,000 American troops. The two studies replicated the pattern of results in Sagan and Valentino and added to it in several important ways. We found the political differences observed by Sagan and Valentino and found them to be extreme. We also found the strong effects associated with emotional distancing and dehumanization using new questions (circles overlap) and the ascent of man figures. We, too, found that those who approved the nuclear option believed that it was ethical and the Iranian government was responsible for the killing of their civilians. In addition, we found insensitivity to a 20 fold increase in estimated casualties across two scenarios in Survey 1. The findings from the analyses of survey 1 were replicated in survey 2, substituting the drone retaliation decision for the nuclear weapons decision.
description: web-based survey~~
description: Smallest Geographic Unit: United States
description: Convenience sample
DOI: 10.5281/zenodo.3625231
title: stanfordmlgroup/cla-data V1.0

description: Captured Dataset for LiverCancerAssistant publication
DOI: 10.18154/rwth-2020-00113
title: Dataset to A 96-multiplex capillary electrophoresis screening platform for product based evolution of P450 BM3

description: The main challenge for the success of directed enzyme evolution campaigns is the availability of suitable high-throughput screening systems. Multiplex capillary electrophoresis with a universal UV-based product detection is a promising analytical tool, which allows to quantify product formation simultaneously in 96-capillaries. A 96-multiplexed capillary electrophoresis (MP-CE) enables a throughput that is comparable to traditional direct evolution campaigns employing 96-well microtiter plates. The platform allows a comprehensive view on enzyme activity through the detection of all products formed during the target reaction. In the manuscript A 96-multiplex capillary electrophoresis screening platform for product based evolution of P450 BM3. (Gärtner, A., Ruff, A.J. & Schwaneberg, U., Sci Rep 9, 15479 (2019), doi:10.1038/s41598-019-52077-w), we report for the first time the usage of a MP-CE system for the screening of evolution libraries. After adaptation of the screening preparation and measurement conditions, the system was validated for the suitability as screening platform for P450 BM3 evolution. The oxidation of α-isophorone was selected as target reaction. The MP-CE platform was compared to the standard cofactor (NADPH) screening system and was found to be 3.5-fold more efficient in identification of beneficial. Here the dataset to the above mentioned manuscript is reported. Source Data of the figures are given in Origin and Excel format to display the CE-measurements (CE-chromatograms), the screening data (summary variants and 1st screening round) and how the data evaluation described in the MS (standard curves and standard deviation) was performed. In the description of dataset a summary of the collected source data is given.
DOI: 10.5066/p9vz6vym
title: Videos collected for Image Velocimetry at Boneyard Creek at Urbana, IL from 2017 to 2018

description: The U.S. Geological Survey is testing deployments of continuous Large-Scale particle Image Velocimetry (LSPIV) streamgaging stations in areas with flashy flow regimes to measure streamflow during flood events. Videos were collected for the purpose of LSPIV streamflow analysis at a stage-discharge streamgaging station in a small, flashy urban stream in Urbana, Illinois, USA (Boneyard Creek at Urbana, IL, 03337000) with an internet protocol (IP) camera. The IP camera is mounted on the bottom of a walkway bridge spanning the creek at the gaging location, and is aimed to view the water for optimal camera perspective at all flow stages. Videos of peak streamflow events with gage height above 12 feet (local gage datum) are included with this data release along with a table (comma separated values format) describing the video metadata and associated streamflow and stage instantaneous values for each video.
DOI: 10.5281/zenodo.3620785
title: Numerical simulations of the geospace response to a perfect interplanetary coronal mass ejection: Model Data

description: This is the model output data discussed in the article, "Numerical simulations of the geospace response to a perfect interplanetary coronal mass ejection." See README.txt for information on dataset contents, formats, and suggested software libraries.
description: Work supported by Laboratory Directed Research and Development (LDRD) program grant 20170047DR and the National Science Foundation award ICER-1663770.
DOI: 10.5281/zenodo.3620786
title: Numerical simulations of the geospace response to a perfect interplanetary coronal mass ejection: Model Data

description: This is the model output data discussed in the article, "Numerical simulations of the geospace response to a perfect interplanetary coronal mass ejection." See README.txt for information on dataset contents, formats, and suggested software libraries.
description: Work supported by Laboratory Directed Research and Development (LDRD) program grant 20170047DR and the National Science Foundation award ICER-1663770.
DOI: 10.5281/zenodo.3623636
title: restEEGpreprocessed_BrainInjuredPatients

description: <strong> </strong> <strong>Resting state EEG recording in brain-injured patients. This dataset contains pre-preocessed rest EEG data (see description of the pre-processing steps below) recorded from UWS and MCS patients.</strong>
DOI: 10.5281/zenodo.3623637
title: restEEGpreprocessed_BrainInjuredPatients

description: <strong> </strong> <strong>Resting state EEG recording in brain-injured patients. This dataset contains pre-preocessed rest EEG data (see description of the pre-processing steps below) recorded from UWS and MCS patients.</strong>
DOI: 10.13012/b2idb-7525764_v1
title: [Redacted]

description: Removed by Illinois Data Bank curators. Contact us for more information. https://databank.illinois.edu/help#contact