81,773 Works

Parametric bump noise data (from Varnet et al. 2019, Trends in Hearing)

Léo Varnet & Chloé Langlet
Data collected by Léo Varnet and Chloé Langlet
Parametric bump noise experiment (main experiment) See description of the methods and results in 'High-frequency sensorineural hearing loss alters cue-weighting strategies when discriminating stop consonants in noise despite restored audibility' (Varnet et al., 2019, Trends in Hearing)

Parametric bump noise data (from Varnet et al. 2019, Trends in Hearing)

Léo Varnet & Chloé Langlet
Data collected by Léo Varnet and Chloé Langlet
Parametric bump noise experiment (main experiment) See description of the methods and results in 'High-frequency sensorineural hearing loss alters cue-weighting strategies when discriminating stop consonants in noise despite restored audibility' (Varnet et al., 2019, Trends in Hearing)

Bump noise ACI data (from Varnet et al. 2019, Trends in Hearing)

Léo Varnet
Data collected by Leo Varnet
Bump noise ACI experiment (pilot experiment) See description of the methods and results in 'High-frequency sensorineural hearing loss alters cue-weighting strategies when discriminating stop consonants in noise despite restored audibility' (Varnet et al., 2019, Trends in Hearing)

Bump noise ACI data (from Varnet et al. 2019, Trends in Hearing)

Léo Varnet
Data collected by Leo Varnet
Bump noise ACI experiment (pilot experiment) See description of the methods and results in 'High-frequency sensorineural hearing loss alters cue-weighting strategies when discriminating stop consonants in noise despite restored audibility' (Varnet et al., 2019, Trends in Hearing)

Emergence of cooperative bistability and robustness of gene regulatory networks

Macoto Kikuchi & Shintaro Nagata
Simulation and analysis ource codes and obtained data set for "Emergence of cooperative bistability and robustness of gene regulatory network" (arXiv:1907.12030). Source codes and figures are compiled in Jupyter notebook. Detailed discription of data sets is found in "readme.txt" file.

Emergence of cooperative bistability and robustness of gene regulatory networks

Macoto Kikuchi & Shintaro Nagata
Simulation and analysis ource codes and obtained data set for "Emergence of cooperative bistability and robustness of gene regulatory network" (arXiv:1907.12030). Source codes and figures are compiled in Jupyter notebook. Detailed discription of data sets is found in "readme.txt" file.

Supporting Multiscale Maritime Governance through Maritime Spatial Planning Relevant Tools and Assessment Techniques in the Adriatic-Ionian Macroregion

Sanjoy Roy, Daniel Depellegrin, Elena Gissi, Alessandro Sarretta & Stefano Menegon
The dataset included in the database were developed according to the mentioned Maritime Spatial Planning relevant governance schemes for the Adriatic-Ionian Macroregion. All spatial data were projected to the UTM33 north. The spatial and non-spatial databases were developed for the specific research entitled "Supporting Multiscale Maritime Governance Through Maritime Spatial Planning Relevant Tools and Assessment Techniques in the Adriatic-Ionian Macroregion".

Supporting Multiscale Maritime Governance through Maritime Spatial Planning Relevant Tools and Assessment Techniques in the Adriatic-Ionian Macroregion

Sanjoy Roy, Daniel Depellegrin, Elena Gissi, Alessandro Sarretta & Stefano Menegon
The dataset included in the database were developed according to the mentioned Maritime Spatial Planning relevant governance schemes for the Adriatic-Ionian Macroregion. All spatial data were projected to the UTM33 north. The spatial and non-spatial databases were developed for the specific research entitled "Supporting Multiscale Maritime Governance Through Maritime Spatial Planning Relevant Tools and Assessment Techniques in the Adriatic-Ionian Macroregion".

Webis-argument-framing

Yamen Ajjour, Milad Alshomary, Henning Wachsmuth & Benno Stein
The dataset comprises 12,327 arguments that are labeled with their topics and frames. The following fields are stored for each argument conclusion, premise, frame, topic, stance, argument_id, topic_id, frame_id For more information please refer to our paper "Modeling Frames in Argumentation".

Webis-argument-framing

Yamen Ajjour, Milad Alshomary, Henning Wachsmuth & Benno Stein
The dataset comprises 12,327 arguments that are labeled with their topics and frames. The following fields are stored for each argument conclusion, premise, frame, topic, stance, argument_id, topic_id, frame_id For more information please refer to our paper "Modeling Frames in Argumentation".

alecchristie888/studydesignsim: First release

Alec P. Christie, Tatsuya Amano, Philip A. Martin, Gorm E. Shackelford, Benno I. Simmons & William J. Sutherland
Release for Journal of Applied Ecology paper JAPPL-2019-00429.R1

alecchristie888/studydesignsim: First release

Alec P. Christie, Tatsuya Amano, Philip A. Martin, Gorm E. Shackelford, Benno I. Simmons & William J. Sutherland
Release for Journal of Applied Ecology paper JAPPL-2019-00429.R1

Design and in vitro realization of carbon-conserving photorespiration - Computational Analysis

Devin L. Trudeau, Christian Edlich-Muth, Jan Zarzycki, Marieke Scheffen, Moshe Goldsmith, Olga Khersonsky, Ziv Avizemer, Sarel J. Fleishman, Charles A.R Cotton, Tobias J. Erb, Dan S. Tawfik & Arren Bar-Even
Our aim is to develop a framework for modeling C3 photosynthesis in mesophyll cells that allows us to compare native photorespiration with engineered photosynthetic shunts. In particular, we want to model conditions that are most relevant to agricultural crops, i.e. a range of light intensities and both ambient and low CO2 intercellular airspace concentrations. Here we presented our computational analysis based on pathSeekR, the stoichiometric-kinetic model, kinetic models of photorespiration shunts and pathSeekR pathway architectures.

Design and in vitro realization of carbon-conserving photorespiration - Computational Analysis

Devin L. Trudeau, Christian Edlich-Muth, Jan Zarzycki, Marieke Scheffen, Moshe Goldsmith, Olga Khersonsky, Ziv Avizemer, Sarel J. Fleishman, Charles A.R Cotton, Tobias J. Erb, Dan S. Tawfik & Arren Bar-Even
Our aim is to develop a framework for modeling C3 photosynthesis in mesophyll cells that allows us to compare native photorespiration with engineered photosynthetic shunts. In particular, we want to model conditions that are most relevant to agricultural crops, i.e. a range of light intensities and both ambient and low CO2 intercellular airspace concentrations. Here we presented our computational analysis based on pathSeekR, the stoichiometric-kinetic model, kinetic models of photorespiration shunts and pathSeekR pathway architectures.

Data for research on nurse rostering in Denmark

Elín Björk Böðvarsdóttir, Niels-Christian Fink Bagger, Laura Elise Høffner & Thomas Stidsen
A report describing data for nurse rostering in Denmark, along with 12 instances.

Data for research on nurse rostering in Denmark

Elín Björk Böðvarsdóttir, Niels-Christian Fink Bagger, Laura Elise Høffner & Thomas Stidsen
A report describing data for nurse rostering in Denmark, along with 12 instances.

Webis-argument-framing

Yamen Ajjour, Milad Alshomary, Henning Wachsmuth & Benno Stein
The dataset comprises 12,327 arguments that are labeled with their topics and frames. The following fields are stored for each argument conclusion, premise, frame, topic, stance, argument_id, topic_id, frame_id For more information please refer to our paper "Modeling Frames in Argumentation".

gbif-norway/dataset_uio_nhm_nef_lepidoptera: UiO NHM NEF Lepidoptera dataset v1.100

Leif Aarvik, Norwegian Lepidoptera Working Group & GBIF.No Helpdesk
UiO NHM NEF Lepidoptera dataset v1.100 prepared for archiving This dataset included compiled Norwegian Lepidoptera information (65 902 occurrences) by the Norwegian Entomological Society and was published in GBIF between 30 July 2012 and 6 December 2017. In December 2017 [head engineer Leif Aarvik](http://www.nhm.uio.no/om/organisasjon/forskning-samlinger/personer/laarvi/) requested the dataset to be retracted from GBIF because all data points have been migrated to the Museum Collection Database (MUSIT) for Entomology and is now published in GBIF as part...

gbif-norway/dataset_uio_nhm_nef_lepidoptera: UiO NHM NEF Lepidoptera dataset v1.100

Leif Aarvik, Norwegian Lepidoptera Working Group & GBIF.No Helpdesk
UiO NHM NEF Lepidoptera dataset v1.100 prepared for archiving This dataset included compiled Norwegian Lepidoptera information (65 902 occurrences) by the Norwegian Entomological Society and was published in GBIF between 30 July 2012 and 6 December 2017. In December 2017 [head engineer Leif Aarvik](http://www.nhm.uio.no/om/organisasjon/forskning-samlinger/personer/laarvi/) requested the dataset to be retracted from GBIF because all data points have been migrated to the Museum Collection Database (MUSIT) for Entomology and is now published in GBIF as part...

Dataset: Forced subduction at passive margin

Zhong Xinyi
This dataset contains simulation results used for visualizing Figures in
“Forced subduction initiation at passive continental margins: velocity-driven versus stress-driven”

Dataset: Forced subduction at passive margin

Zhong Xinyi
This dataset contains simulation results used for visualizing Figures in
“Forced subduction initiation at passive continental margins: velocity-driven versus stress-driven”

Webis Wikipedia Text Reuse Corpus 2018 (Webis-Wikipedia-Text-Reuse-18)

Milad Alshomary, Michael Völske, Henning Wachsmuth, Benno Stein, Matthias Hagen & Martin Potthast
The Wikipedia Text Reuse Corpus 2018 (Webis-Wikipedia-Text-Reuse-18) containing text reuse cases extracted from within Wikipedia and in between Wikipedia and a sample of the Common Crawl. The corpus has following structure: wikipedia.tar.gz: Each line, representing a Wikipedia article, contains a json array of article_id, article_title, and article_body within-wikipedia-tr-01.gz: Each line, representing a text reuse case, contains a json array of s_id (source article id), t_id (target article id), s_text (source text), t_text (target text) within-wikipedia-tr-02.gz:...

Webis Wikipedia Text Reuse Corpus 2018 (Webis-Wikipedia-Text-Reuse-18)

Milad Alshomary, Michael Völske, Henning Wachsmuth, Benno Stein, Matthias Hagen & Martin Potthast
The Wikipedia Text Reuse Corpus 2018 (Webis-Wikipedia-Text-Reuse-18) containing text reuse cases extracted from within Wikipedia and in between Wikipedia and a sample of the Common Crawl. The corpus has following structure: wikipedia.tar.gz: Each line, representing a Wikipedia article, contains a json array of article_id, article_title, and article_body within-wikipedia-tr-01.gz: Each line, representing a text reuse case, contains a json array of s_id (source article id), t_id (target article id), s_text (source text), t_text (target text) within-wikipedia-tr-02.gz:...

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