23,924 Works

TUT Urban Acoustic Scenes 2018 Mobile, Leaderboard dataset

Toni Heittola, Annamaria Mesaros & Tuomas Virtanen
TUT Urban Acoustic Scenes 2018 Mobile, Leaderboard dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Travelling by a tram - tram Travelling by a bus - bus Travelling by an underground metro - metro Urban park - park
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TUT Urban Acoustic Scenes 2018 Mobile, Leaderboard dataset

Toni Heittola, Annamaria Mesaros & Tuomas Virtanen
TUT Urban Acoustic Scenes 2018 Mobile, Leaderboard dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Travelling by a tram - tram Travelling by a bus - bus Travelling by an underground metro - metro Urban park - park
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

TUT Urban Acoustic Scenes 2018 Mobile, Development dataset

Toni Heittola, Annamaria Mesaros & Tuomas Virtanen
TUT Urban Acoustic Scenes 2018 Mobile development dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Travelling by a tram - tram Travelling by a bus - bus Travelling by an underground metro - metro Urban park - park Recordings were made with three devices that...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

TUT Urban Acoustic Scenes 2018 Mobile, Development dataset

Toni Heittola, Annamaria Mesaros & Tuomas Virtanen
TUT Urban Acoustic Scenes 2018 Mobile development dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Travelling by a tram - tram Travelling by a bus - bus Travelling by an underground metro - metro Urban park - park Recordings were made with three devices that...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

TUT Urban Acoustic Scenes 2018, Leaderboard dataset

Toni Heittola, Annamaria Mesaros & Tuomas Virtanen
TUT Urban Acoustic Scenes 2018, Leaderboard dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Travelling by a tram - tram Travelling by a bus - bus Travelling by an underground metro - metro Urban park - park
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

TUT Urban Acoustic Scenes 2018, Leaderboard dataset

Toni Heittola, Annamaria Mesaros & Tuomas Virtanen
TUT Urban Acoustic Scenes 2018, Leaderboard dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Travelling by a tram - tram Travelling by a bus - bus Travelling by an underground metro - metro Urban park - park
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

TUT Urban Acoustic Scenes 2018, Development dataset

Toni Heittola, Annamaria Mesaros & Tuomas Virtanen
TUT Urban Acoustic Scenes 2018 development dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Travelling by a tram - tram Travelling by a bus - bus Travelling by an underground metro - metro Urban park - park Each acoustic scene has 864 segments (144 minutes...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

TUT Urban Acoustic Scenes 2018, Development dataset

Toni Heittola, Annamaria Mesaros & Tuomas Virtanen
TUT Urban Acoustic Scenes 2018 development dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Travelling by a tram - tram Travelling by a bus - bus Travelling by an underground metro - metro Urban park - park Each acoustic scene has 864 segments (144 minutes...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

TUT Urban Acoustic Scenes 2018, Evaluation dataset

Toni Heittola, Annamaria Mesaros & Tuomas Virtanen
TUT Urban Acoustic Scenes 2018 evaluation dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Travelling by a tram - tram Travelling by a bus - bus Travelling by an underground metro - metro Urban park - park The dataset contains in total 10 hours of...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

TUT Urban Acoustic Scenes 2018, Evaluation dataset

Toni Heittola, Annamaria Mesaros & Tuomas Virtanen
TUT Urban Acoustic Scenes 2018 evaluation dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Travelling by a tram - tram Travelling by a bus - bus Travelling by an underground metro - metro Urban park - park The dataset contains in total 10 hours of...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

TUT Urban Acoustic Scenes 2018 Mobile, Evaluation dataset

Toni Heittola, Annamaria Mesaros & Tuomas Virtanen
TUT Urban Acoustic Scenes 2018 Mobile evaluation dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Travelling by a tram - tram Travelling by a bus - bus Travelling by an underground metro - metro Urban park - park Recordings were made with three devices that...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

TUT Urban Acoustic Scenes 2018 Mobile, Evaluation dataset

Toni Heittola, Annamaria Mesaros & Tuomas Virtanen
TUT Urban Acoustic Scenes 2018 Mobile evaluation dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Travelling by a tram - tram Travelling by a bus - bus Travelling by an underground metro - metro Urban park - park Recordings were made with three devices that...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

Trait-based approach confirms the importance of propagule limitation and assembly rules in old-field restoration

Halassy Melinda
Trait values for plant species present in our research.
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

Trait-based approach confirms the importance of propagule limitation and assembly rules in old-field restoration

Halassy Melinda
Trait values for plant species present in our research.
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

A multimodal data-set of a unidirectional glass fibre reinforced polymer composite

Monica Jane Emerson, Vedrana Andersen Dahl, Knut Conradsen, Anders Bjorholm Dahl & Lars Pilgaard Mikkelsen
Please cite the following article when using the data-sets hereby shared: Emerson, M.J., Dahl, V.A., Conradsen, K., Mikkelsen, L.P. and Dahl, A.B., 2018. A multimodal data-set of a unidirectional glass fibre reinforced polymer composite. Data in brief, 18, pp.1388-1393. These data-sets were used for validating the use of X-ray tomography and our dictionary-based probabilistic method for detection of individual fibres, for more information see the following article: Emerson, M.J., Dahl, V.A., Conradsen, K., Mikkelsen, L.P....
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

A multimodal data-set of a unidirectional glass fibre reinforced polymer composite

Monica Jane Emerson, Vedrana Andersen Dahl, Knut Conradsen, Anders Bjorholm Dahl & Lars Pilgaard Mikkelsen
Please cite the following article when using the data-sets hereby shared: Emerson, M.J., Dahl, V.A., Conradsen, K., Mikkelsen, L.P. and Dahl, A.B., 2018. A multimodal data-set of a unidirectional glass fibre reinforced polymer composite. Data in brief, 18, pp.1388-1393. These data-sets were used for validating the use of X-ray tomography and our dictionary-based probabilistic method for detection of individual fibres, for more information see the following article: Emerson, M.J., Dahl, V.A., Conradsen, K., Mikkelsen, L.P....
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

Simulation data files of the article: "The dimming of RW Auriga. Is dust accretion preceding an outburst?"

Matías Gárate, Til Birnstiel, Sebastian Markus Stammler & Hans Moritz Günther
We make available here the simulation output files used in the paper "The dimming of RW Auriga. Is dust accretion preceding an outburst?" by Gárate et al. (2019). The simulation shows the gas and dust evolution of a protoplanetry disk in the event of a dead zone reactivation. The simulations were performed using DustPy (Stammler & Birnstiel, in prep.) to solve the advection of gas and dust, along with the coagulation and fragmentation of multiple...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

Simulation data files of the article: "The dimming of RW Auriga. Is dust accretion preceding an outburst?"

Matías Gárate, Til Birnstiel, Sebastian Markus Stammler & Hans Moritz Günther
We make available here the simulation output files used in the paper "The dimming of RW Auriga. Is dust accretion preceding an outburst?" by Gárate et al. (2019). The simulation shows the gas and dust evolution of a protoplanetry disk in the event of a dead zone reactivation. The simulations were performed using DustPy (Stammler & Birnstiel, in prep.) to solve the advection of gas and dust, along with the coagulation and fragmentation of multiple...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

cldf-datasets/normansinitic: Structural and lexical data for the paper by Norman (2013) on Chinese dialect classification

Johann-Mattis List & Robert Forkel
Original source of the data: Norman, J. (2003): Chinese dialects. Phonology. In: Thurgood, G. & LaPolla, R.: The Sino-Tibetan Languages. Routledge: London and New York. 72-83.
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Supplementary material for 'Revealing patterns of nocturnal migration using the European weather radar network'

Cecilia Nilsson, Adriaan Dokter, Liesbeth Verlinden, Judy Shamoun-Baranes, Baptiste Schmid, Peter Desmet, Silke Bauer, Jason Chapman, Jose A. Alves, Phillip M. Stepanian, Nir Sapir, Charlotte Wainwright, Mathieu Boos, Anna Górska, Myles H. M. Menz, Pedro Rodrigues, Hidde Leijnse, Pavel Zehtindjiev, Robin Brabant, Günther Haase, Nadja Weisshaupt, Michał Ciach & Felix Liechti
Description This package contains data, filters and visualizations from Nilsson and Dokter et al. (2019). Files radar_metadata.csv: Metadata for the 84 European radars considered for this study. Includes radar code (odim_code = country + odim_code_3char and alternative radar code vp_radar), radar site location (location, latitude, longitude), radar site elevation (site_altitude_asl in meters above sea level) and radar altitude range used in this study (min_height_cut_asl and max_height_cut_asl in meters above sea level). vp.zip: Vertical profiles of...
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Supplementary material for 'Revealing patterns of nocturnal migration using the European weather radar network'

Cecilia Nilsson, Adriaan Dokter, Liesbeth Verlinden, Judy Shamoun-Baranes, Baptiste Schmid, Peter Desmet, Silke Bauer, Jason Chapman, Jose A. Alves, Phillip M. Stepanian, Nir Sapir, Charlotte Wainwright, Mathieu Boos, Anna Górska, Myles H. M. Menz, Pedro Rodrigues, Hidde Leijnse, Pavel Zehtindjiev, Robin Brabant, Günther Haase, Nadja Weisshaupt, Michał Ciach & Felix Liechti
Description This package contains data, filters and visualizations from Nilsson and Dokter et al. (2019). Files radar_metadata.csv: Metadata for the 84 European radars considered for this study. Includes radar code (odim_code = country + odim_code_3char and alternative radar code vp_radar), radar site location (location, latitude, longitude), radar site elevation (site_altitude_asl in meters above sea level) and radar altitude range used in this study (min_height_cut_asl and max_height_cut_asl in meters above sea level). vp.zip: Vertical profiles of...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

RUSSE'2018: Human-Annotated Sense-Disambiguated Word Contexts for Russian

Dmitry Ustalov
This dataset contains human-annotated sense identifiers for 2562 contexts of 20 words used in the RUSSE'2018 shared task on Word Sense Induction and Disambiguation for the Russian language; part of the bts-rnc evaluation dataset. These sense identifiers are disambiguated as according to the sense inventory of the Large Explanatory Dictionary of Russian. The annotation is done on December 1, 2017, on the Yandex.Toloka crowdsourcing platform. In particular, 80 pre-annotated contexts are used for training the...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

RUSSE'2018: Human-Annotated Sense-Disambiguated Word Contexts for Russian

Dmitry Ustalov
This dataset contains human-annotated sense identifiers for 2562 contexts of 20 words used in the RUSSE'2018 shared task on Word Sense Induction and Disambiguation for the Russian language; part of the bts-rnc evaluation dataset. These sense identifiers are disambiguated as according to the sense inventory of the Large Explanatory Dictionary of Russian. The annotation is done on December 1, 2017, on the Yandex.Toloka crowdsourcing platform. In particular, 80 pre-annotated contexts are used for training the...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.

Data For: Tang Et Al., Interpretable Classification Of Alzheimer'S Disease Pathologies With A Convolutional Neural Network Pipeline. Biorxiv 2018.

Ziqi Tang, Kangway Chuang, Charles DeCarli, Lee-Way Jin, Laurel Beckett, Michael Keiser & Brittany Dugger
Datasets containing 63 whole slide images (WSIs) and their segmented 256x256 pixel tiles with approximately 80,000 tile-level amyloid-β pathology expert annotations. Paper: "Interpretable classification of Alzheimer's disease pathologies with a convolutional neural network pipeline", bioRxiv 454793; DOI: https://doi.org/10.1101/454793. Details: A total of 63 WSIs for 63 unique decedent cases spanning Alzheimer’s disease (AD) to non-AD and possessing a variety of CERAD scores. WSIs comprise three datasets as follows: Development (Phases I-II). 33 WSIs used for...
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2016-07-27 │Puig Misericórdia│ Proyecto gráfico y geomático

AD&D 4D, Robert Muñoz Villanueva & César Llácer García
Proyecto gráfico y geomático del realizado por AD&D 4D para el proyecto web Castellón Arqueológico, patrocinado por la Diputación de Castellón. Yacimiento arqueológico: Puig Misericórdia;bajo Maestrazgo; Castellón; Comunitat Valenciana; España; Europa Nube de puntos GeoRef 58 Millones de puntos (20160727PuigMisericordiaNPD58M) DEM (Digital Elevation Model) GeoRef 1 y 3 cm / Pix (20160727PuigMisericordiaDEM1-3cm) OrtofotoMapa GeoTiff 0,5 mm. / Pix 2017-06-23 (20160727PuigMisericordiaOrto1-3cm) ETRS89 / UTM zona 30 (EPSG :: 25830) Visor 3D Sketchfab Más información: español. valenciano...
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Registration Year

  • 2018
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Resource Types

  • Dataset
    23,924