cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2m2pnnrd8b.1
title: Passive sonar data set

description: This data set is contained a sample of various passive acoustic sound include: Aircraft carrier, Boat, Container, Ship, Ocean-going, Merchant, Tanker, Dolphin, Sonar-ping and super-tanker vehicle. these data were collected in the standard scenario test. For complete information and whole data set write to the authors. m_khishe@elec.iust.ac.ir
DOI: 10.5281/zenodo.824287
title: Data From Dowiasch Et Al. (2015) Effects Of Aging On Eye Movements In The Real World

description: The effects of aging on eye movements are well studied in the laboratory. Increased saccade latencies or decreased smooth-pursuit gain are well established findings. The question remains whether these findings are influenced by the rather untypical environment of a laboratory; that is, whether or not they transfer to the real world. We measured 34 healthy participants between the age of 25 and 85 during two everyday tasks in the real world: (I) walking down a hallway with free gaze, (II) visual tracking of an earth-fixed object while walking straight-ahead. Eye movements were recorded with a mobile light-weight eye tracker, the EyeSeeCam (ESC). We find that age significantly influences saccade parameters. With increasing age, saccade frequency, amplitude, peak velocity, and mean velocity are reduced and the velocity/amplitude distribution as well as the velocity profile become less skewed. In contrast to laboratory results on smooth pursuit, we did not find a significant effect of age on tracking eye-movements in the real world. Taken together, age-related eye-movement changes as measured in the laboratory only partly resemble those in the real world. It is well-conceivable that in the real world additional sensory cues, such as head-movement or vestibular signals, may partially compensate for age-related effects, which, according to this view, would be specific to early motion processing. In any case, our results highlight the importance of validity for natural situations when studying the impact of aging on real-life performance.
description: This work was supported by the "Deutsche Forschungsgemeinschaft" (DFG) through the International Research Training Group IRTG 1901 "The Brain in Action—BrainAct", the Collaborative Research Center SFB/TRR 135 "Cardinal Mechanisms of Perception" and grant EI 852/3.
DOI: 10.5281/zenodo.824286
title: Data From Dowiasch Et Al. (2015) Effects Of Aging On Eye Movements In The Real World

description: The effects of aging on eye movements are well studied in the laboratory. Increased saccade latencies or decreased smooth-pursuit gain are well established findings. The question remains whether these findings are influenced by the rather untypical environment of a laboratory; that is, whether or not they transfer to the real world. We measured 34 healthy participants between the age of 25 and 85 during two everyday tasks in the real world: (I) walking down a hallway with free gaze, (II) visual tracking of an earth-fixed object while walking straight-ahead. Eye movements were recorded with a mobile light-weight eye tracker, the EyeSeeCam (ESC). We find that age significantly influences saccade parameters. With increasing age, saccade frequency, amplitude, peak velocity, and mean velocity are reduced and the velocity/amplitude distribution as well as the velocity profile become less skewed. In contrast to laboratory results on smooth pursuit, we did not find a significant effect of age on tracking eye-movements in the real world. Taken together, age-related eye-movement changes as measured in the laboratory only partly resemble those in the real world. It is well-conceivable that in the real world additional sensory cues, such as head-movement or vestibular signals, may partially compensate for age-related effects, which, according to this view, would be specific to early motion processing. In any case, our results highlight the importance of validity for natural situations when studying the impact of aging on real-life performance.
description: This work was supported by the "Deutsche Forschungsgemeinschaft" (DFG) through the International Research Training Group IRTG 1901 "The Brain in Action—BrainAct", the Collaborative Research Center SFB/TRR 135 "Cardinal Mechanisms of Perception" and grant EI 852/3.
DOI: 10.17632/6p2hk2t46x.1
title: ibsg

description: sample code
DOI: 10.17632/b56mb82b6b.1
title: Produção parlamentar sobre câncer, 2006-2017

description: Produção parlamentar brasileria da Câmara dos Deputados sobre câncer entre 1º de janeiro de 2006 a 9 de julho de 2017.
DOI: 10.17632/hn6t9hjfry.1
title: Mapping biological process relationships and disease perturbations within a pathway network code

description: code to generate the networks
DOI: 10.17632/mnjw6rcmcc.1
title: Mapping biological process relationships and disease perturbations within a pathway network - input data

description: input files
DOI: 10.17632/n9vbc8g9cx.1
title: Poem Emotion Recognition Corpus (PERC)

description: Even though there is available of the lexicon in emotion analysis, to identify emotion from poems had to rely on limited emotion lexicons. Since those lexicons are not created for poems, and it is not concentrated on poetic features. This paper presents a text corpus PERC(Poem Emotion Recognition Corpus) comprising a set of poems and features for emotion recognition from poems. Emotion classication is based on 'Navarasa,' described in 'Natyasastra.' Navarasa consists of nine primary emotions such as Love, Sad, Anger, Hate, Fear, Surprise, Courage, Joy, and Peace. Although there are many text corpus for emotion recognition, we do not know of a text corpus for poems based on nine emotions. The corpus created is from an exhaustive collection of poems of Indian poets for the period 1850-2016. The novelty of this work is the creation of a corpus using poems mined from the web and evaluated by human experts.
DOI: 10.17632/37pkdchpf9.1
title: Mapping biological process relationships and disease perturbations within a pathway network supplementary data

description: supplimentary table 1
DOI: 10.17632/9pc5pyrp7c.2
title: 1H and 19F NMR in drug stress testing: the case of voriconazole

description: NMR data
DOI: 10.17632/wmv4f42xnz.2
title: TIMEDELn: A programme for the detection and parametrization of overlapping resonances using the time-delay method

description: TIMEDELn implements the time-delay method of determining resonance parameters from the characteristic Lorentzian form displayed by the largest eigenvalues of the time-delay matrix. TIMEDELn constructs the time-delay matrix from input K-matrices and analyses its eigenvalues. This new version implements multi-resonance fitting and may be run serially or as a high performance parallel code with three levels of parallelism. TIMEDELn takes K-matrices from a scattering calculation, either read from a file or calculated on a dynamically adjusted grid, and calculates the time-delay matrix. This is then diagonalized, with the largest eigenvalue representing the longest time-delay experienced by the scattering particle. A resonance shows up as a characteristic Lorentzian form in the time-delay: the program searches the time-delay eigenvalues for maxima and traces resonances when they pass through different eigenvalues, separating overlapping resonances. It also performs the fitting of the calculated data to the Lorentzian form and outputs resonance positions and widths. Any remaining overlapping resonances can be fitted jointly. The branching ratios of decay into the open channels can also be found. The program may be run serially or in parallel with three levels of parallelism. The parallel code modules are abstracted from the main physics code and can be used independently. NOTE: this version of the dataset corrects an editorial error in the spelling of a contributor's surname.
DOI: 10.5285/9ab1541b-e71a-4d75-9907-968d47755e99
title: Snow accumulation from the Ferrigno ice core (F10), Bryan Coast, West Antarctica

description: This dataset provides a 308 year (1703-2010) annual snow accumulation record from the Ferrigno 2010 (F10) ice core. The 136 m core was drilled on the Bryan Coast in Ellsworth Land, West Antarctica, during the austral summer 2010/11. The record was measured using the summer peak in nonsea-salt (nss) SO4, in approximately January to December. Snow accumulation is converted to metres of water equivalent (weq - m) based on measured density profile and correcting for thinning using the Nye model, assuming vertical strain rate. Samples were measured at 5 cm resolution, corresponding to approximately eight samples per year.
DOI: 10.5285/6feac38a-5847-46f9-84e4-e7e9d291f935
title: Snow accumulation from the Bryan Coast ice core (BC11), Ellsworth Land, West Antarctica

description: This dataset provides a 298 year (1712-2010) annual snow accumulation record from the Bryan Coast (BC11) ice core. The 140 m core was drilled on the Bryan Coast in Ellsworth Land, West Antarctica, during the austral summer 2010/11. The record was measured using the summer peak in non sea salt (nss) SO4, in approximately January to December. Snow accumulation is converted to meters of water equivalent (weq - m) based on measured density profile and correcting for thinning using the Nye model, assuming vertical strain rate. Samples were measured at 5 cm resolution, corresponding to approximately eight samples per year.
DOI: 10.5281/zenodo.824853
title: Stochastic Modeling Of Sediment Connectivity For Reconstructing Sand Fluxes And Origins In The Unmonitored Se Kong, Se San, And Sre Pok Tributaries Of The Mekong River

description: Sediment supply to rivers, subsequent fluvial transport, and the resulting connectivity on network-scales are often sparsely monitored or subject to major uncertainty. Hence, we propose to adopt stochastic modeling approaches for studying network sediment connectivity. We demonstrate such a stochastic approach for modeling sand connectivity in the major, poorly monitored Se Kong, Se San, and Sre Pok (3S) tributaries of the Mekong River. Specifically, we run many random initializations of the CASCADE modeling framework for sediment connectivity in a Monte Carlo approach in order to quantify how unknown properties of sediment sources translate into uncertainty regarding network sediment connectivity. We identify a reduced ensemble of model realizations that reproduces downstream observations of sediment transport. This ensemble presents an inverse stochastic approximation of the spatial distribution, magnitude, and variability of transport capacity, sediment flux, and bed material grain size in the entire network (i.e., upscaling point observations to the entire network). The approximated magnitude of sediment flux in each tributary is controlled by reaches of low transport capacity (“bottlenecks”). These “bottlenecks” limit the ability of the inverse stochastic approximation to predict sediment transport in the upper parts of the catchment but they allow a clear partitioning of sand deliveries from the 3S to the Mekong, with the Se Kong delivering less (1.9 Mt/yr) and coarser (median grain size: 0.4 mm) sand than the Se San (5.3 Mt/yr, 0.22 mm) and Sre Pok (11 Mt/yr, 0.19 mm).
description: {"references": ["1.Schmitt, R. J. P., Bizzi, S., Castelletti, A. & Kondolf, G. M. Stochastic modeling of sediment connectivity for reconstructing sand fluxes and origins in the unmonitored Se Kong, Se San, and Sre Pok tributaries of the Mekong River. Journal of Geophysical Research: Earth Surface (in Review)."]}
DOI: 10.5281/zenodo.824854
title: Stochastic Modeling Of Sediment Connectivity For Reconstructing Sand Fluxes And Origins In The Unmonitored Se Kong, Se San, And Sre Pok Tributaries Of The Mekong River

description: Sediment supply to rivers, subsequent fluvial transport, and the resulting connectivity on network-scales are often sparsely monitored or subject to major uncertainty. Hence, we propose to adopt stochastic modeling approaches for studying network sediment connectivity. We demonstrate such a stochastic approach for modeling sand connectivity in the major, poorly monitored Se Kong, Se San, and Sre Pok (3S) tributaries of the Mekong River. Specifically, we run many random initializations of the CASCADE modeling framework for sediment connectivity in a Monte Carlo approach in order to quantify how unknown properties of sediment sources translate into uncertainty regarding network sediment connectivity. We identify a reduced ensemble of model realizations that reproduces downstream observations of sediment transport. This ensemble presents an inverse stochastic approximation of the spatial distribution, magnitude, and variability of transport capacity, sediment flux, and bed material grain size in the entire network (i.e., upscaling point observations to the entire network). The approximated magnitude of sediment flux in each tributary is controlled by reaches of low transport capacity (“bottlenecks”). These “bottlenecks” limit the ability of the inverse stochastic approximation to predict sediment transport in the upper parts of the catchment but they allow a clear partitioning of sand deliveries from the 3S to the Mekong, with the Se Kong delivering less (1.9 Mt/yr) and coarser (median grain size: 0.4 mm) sand than the Se San (5.3 Mt/yr, 0.22 mm) and Sre Pok (11 Mt/yr, 0.19 mm).
description: {"references": ["1.Schmitt, R. J. P., Bizzi, S., Castelletti, A. & Kondolf, G. M. Stochastic modeling of sediment connectivity for reconstructing sand fluxes and origins in the unmonitored Se Kong, Se San, and Sre Pok tributaries of the Mekong River. Journal of Geophysical Research: Earth Surface (in Review)."]}
DOI: 10.17171/2-2-119-2
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-3
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-4
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-5
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-10
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-11
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-12
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-13
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-6
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-7
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-8
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-9
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-14
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-15
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-16
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-17
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-119-18
title: Forum of Trajan, Basilica Ulpia, Rome
title: Southern row

description: Image of the Forum of Trajan, Basilica Ulpia in Rome, southern row
description: Ancient Columns
DOI: 10.17171/2-2-120-1
title: 3D model of the Forum of Trajan, Basilica Ulpia, Rome
title: Southern row, first column from south-west

description: 3D model of the Forum of Trajan, Basilica Ulpia in Rome, southern row, first column from south-west
description: Ancient Columns
DOI: 10.17171/2-2-121-1
title: 3D model of the Forum of Trajan, Basilica Ulpia, Rome
title: South side, second column from north

description: 3D model of the Forum of Trajan, Basilica Ulpia in Rome, south side, second column from north
description: Ancient Columns
DOI: 10.5281/zenodo.825277
title: Analysis Of Anthropogenic Influence On Pollen Based Climate Research

description: In paleoclimatology the relationships between vegetation and climate are used to infer past climate from plant fossils. However, if a transfer function is tested on modern pollen and climate observations,  there is a mismatch between observed and inferred climate. Several causes for such a mismatch have been identified by literature, but this research focusses on humans. Humans influence community assembly of vegetation, but the effect of this influence on climatic studies is not well investigated. The aim of this research was to assess anthropogenic  influence on climatic mismatch.

Data was collected from previous research on 29 Amazonian sites. This was run through a transfer function and mismatch was calculated for the mean annual temperature, mean diurnal range and annual precipitation. Linear regression tests were used to test the data on a correlation between human influence (land use and distances to features) and mismatch.

Mismatch decreased at first and then increased in the opposite direction. There is evidence that precipitation is affected by humans. Of all considered measures the distance to the nearest hardened road had the strongest relationship with induced mismatch.

 

This file contains all used data and R scripts. With the contents the results can be recreated. Instructions on use are enclosed
description: Research for a bachelors thesis in the field of Biology.
DOI: 10.5281/zenodo.825278
title: Analysis Of Anthropogenic Influence On Pollen Based Climate Research

description: In paleoclimatology the relationships between vegetation and climate are used to infer past climate from plant fossils. However, if a transfer function is tested on modern pollen and climate observations,  there is a mismatch between observed and inferred climate. Several causes for such a mismatch have been identified by literature, but this research focusses on humans. Humans influence community assembly of vegetation, but the effect of this influence on climatic studies is not well investigated. The aim of this research was to assess anthropogenic  influence on climatic mismatch.

Data was collected from previous research on 29 Amazonian sites. This was run through a transfer function and mismatch was calculated for the mean annual temperature, mean diurnal range and annual precipitation. Linear regression tests were used to test the data on a correlation between human influence (land use and distances to features) and mismatch.

Mismatch decreased at first and then increased in the opposite direction. There is evidence that precipitation is affected by humans. Of all considered measures the distance to the nearest hardened road had the strongest relationship with induced mismatch.

 

This file contains all used data and R scripts. With the contents the results can be recreated. Instructions on use are enclosed
description: Research for a bachelors thesis in the field of Biology.
DOI: 10.17171/2-2-121-2
title: 3D model of the Forum of Trajan, Basilica Ulpia, Rome
title: South side, second column from north

description: 3D model of the Forum of Trajan, Basilica Ulpia in Rome, south side, second column from north
description: Ancient Columns
DOI: 10.17171/2-2-122-1
title: 3D model of the Forum of Trajan, Basilica Ulpia, Rome
title: South side, third column from north

description: 3D model of the Forum of Trajan, Basilica Ulpia in Rome, south side, third column from north
description: Ancient Columns
DOI: 10.17171/2-2-122-2
title: 3D model of the Forum of Trajan, Basilica Ulpia, Rome
title: South side, third column from north

description: 3D model of the Forum of Trajan, Basilica Ulpia in Rome, south side, third column from north
description: Ancient Columns
DOI: 10.17171/2-2-123-1
title: 3D model of the Forum of Trajan, Basilica Ulpia, Rome
title: South side, fourth column from north

description: 3D model of the Forum of Trajan, Basilica Ulpia in Rome, south side, fourth column from north
description: Ancient Columns
DOI: 10.17171/2-2-123-2
title: 3D model of the Forum of Trajan, Basilica Ulpia, Rome
title: South side, fourth column from north

description: 3D model of the Forum of Trajan, Basilica Ulpia in Rome, south side, fourth column from north
description: Ancient Columns
DOI: 10.17171/2-2-124-1
title: Porticus Octaviae
title: Column in Via del Foro Piscario

description: Image of the Porticus Octaviae in Rome, column in Via del Foro Piscario
description: Ancient Columns
DOI: 10.17171/2-2-124-2
title: Porticus Octaviae
title: Column in Via del Foro Piscario

description: Image of the Porticus Octaviae in Rome, column in Via del Foro Piscario
description: Ancient Columns
DOI: 10.17171/2-2-124-3
title: Porticus Octaviae
title: Column in Via del Foro Piscario

description: Image of the Porticus Octaviae in Rome, column in Via del Foro Piscario
description: Ancient Columns
DOI: 10.17171/2-2-124-4
title: Porticus Octaviae
title: Column in Via del Foro Piscario

description: Image of the Porticus Octaviae in Rome, column in Via del Foro Piscario
description: Ancient Columns
DOI: 10.17171/2-2-124-5
title: Porticus Octaviae
title: Column in Via del Foro Piscario

description: Image of the Porticus Octaviae in Rome, column in Via del Foro Piscario
description: Ancient Columns
DOI: 10.17171/2-2-125-1
title: 3D model of the Porticus Octaviae, Rome
title: Column in Via del Foro Piscario

description: 3D model of the Porticus Octaviae in Rome, column in Via del Foro Piscario
description: Ancient Columns
DOI: 10.17171/2-2-125-2
title: 3D model of the Porticus Octaviae, Rome
title: Column in Via del Foro Piscario

description: 3D model of the Porticus Octaviae in Rome, column in Via del Foro Piscario
description: Ancient Columns
DOI: 10.17171/2-2-126-1
title: Baths of Nero/Severus Alexander, Rome
title: Piazza di Sant'Eustachio

description: Image of the Baths of Nero/Severus Alexander in Rome, Piazza di Sant'Eustachio
description: Ancient Columns
DOI: 10.17171/2-2-126-2
title: Baths of Nero/Severus Alexander, Rome
title: Piazza di Sant'Eustachio

description: Image of the Baths of Nero/Severus Alexander in Rome, Piazza di Sant'Eustachio
description: Ancient Columns
DOI: 10.17171/2-2-126-3
title: Baths of Nero/Severus Alexander, Rome
title: Piazza di Sant'Eustachio

description: Image of the Baths of Nero/Severus Alexander in Rome, Piazza di Sant'Eustachio
description: Ancient Columns