23,924 Works

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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A method for correcting staggered pulse repetition time (PRT) and dual Pulse Repetition Frequency (PRF) processor errors

A. Addison Alford, Michael I. Biggerstaff & Gordon D. Carrie
A method for correcting dual-PRF and staggered-PRT induced radial velocity errors. This method is being developed by the authors at the University of Oklahoma and is considered to be a work in progress. v2 of the algorithm will be made available in the coming months (late 2019 or early 2020).
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A method for correcting staggered pulse repetition time (PRT) and dual Pulse Repetition Frequency (PRF) processor errors

A. Addison Alford, Michael I. Biggerstaff & Gordon D. Carrie
A method for correcting dual-PRF and staggered-PRT induced radial velocity errors. This method is being developed by the authors at the University of Oklahoma and is considered to be a work in progress. v2 of the algorithm will be made available in the coming months (late 2019 or early 2020).
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Synthetic dataset used in "The maximum weighted submatrix coverage problem: A CP approach"

Derval Guillaume, Branders Vincent, Dupont Pierre & Schaus Pierre
Synthetic dataset used in "The maximum weighted submatrix coverage problem: A CP approach". Includes both the generated datasets as a zip archive and the python script used to generate them. Each instance is composed of two files in the form XxY_K_O_0xN_AxB_Smatrix.tsv being the matrix to use. Each row on a separate line, with tab-separated cells. XxY_K_O_0xN_AxB_Ssolution.txt giving the implanted solution. One submatrix per line. Then two JSON arrays follow, separated by a tabulation. The first...
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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
Introduction 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
Introduction 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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3DFacilities

Thomas Czerniawski & Fernanda Leite
Please visit the 3DFacilities website, thomasczerniawski.com/3dfacilities 3DFacilities is an annotated RGB-D data-set of building facilities. It currently contains over 25,000 individual frames and 110 scene reconstructions. The data-set was created for training machine learning algorithms to perform semantic segmentation. Classes included in the data-set are: furniture, door, wall, floor, window, ceiling, column, beam, stairs, railing, light fixture, elevator, plumbing, duct, diffuser, sprinkler, cable tray, and conduit
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The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data

Michael Färber
We present the Microsoft Academic Knowledge Graph (MAKG), a large RDF data set with over eight billion triples with information about scientific publications and related entities, such as authors, institutions, journals, and fields of study. The data set is based on the Microsoft Academic Graph and licensed under the Open Data Attributions license. Furthermore, we provide entity embeddings for all 210M represented scientific papers. More information can be found at http://ma-graph.org/ and in the ISWC'19...
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The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data

Michael Färber
We present the Microsoft Academic Knowledge Graph (MAKG), a large RDF data set with over eight billion triples with information about scientific publications and related entities, such as authors, institutions, journals, and fields of study. The data set is based on the Microsoft Academic Graph and licensed under the Open Data Attributions license. Furthermore, we provide entity embeddings for all 210M represented scientific papers. More information can be found at http://ma-graph.org/ and in the ISWC'19...
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Dividing the Ontology Alignment Task

Ernesto Jimenez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald & Valerie Cross
Large ontologies still pose serious challenges to state of the art ontology alignment systems. In the paper we present an approach that combines a lexical index, a neural embedding model and locality modules to effectively segment an input ontology matching task into smaller and more tractable (sub)matching tasks. We have conducted a comprehensive evaluation using the datasets of the Ontology Alignment Evaluation Initiative. The results are encouraging and suggest that the proposed methods are adequate...
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weecology/PortalData 1.141.0

S. K. Morgan Ernest, Glenda M. Yenni, Ginger Allington, Ellen K. Bledsoe, Erica M. Christensen, Renata Diaz, Keith Geluso, Jacob R. Goheen, Qinfeng Guo, Edward Heske, Douglas Kelt, Joan M. Meiners, Jim Munger, Carla Restrepo, Douglas A. Samson, Michele R. Schutzenhofer, Marian Skupski, Sarah R. Supp, Katherine M. Thibault, Shawn D. Taylor, Ethan P. White, Diane W. Davidson, James H. Brown & Thomas J. Valone
Official Repo of the Portal Project Data
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Dividing the Ontology Alignment Task

Ernesto Jimenez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald & Valerie Cross
Large ontologies still pose serious challenges to state of the art ontology alignment systems. In the paper we present an approach that combines a lexical index, a neural embedding model and locality modules to effectively segment an input ontology matching task into smaller and more tractable (sub)matching tasks. We have conducted a comprehensive evaluation using the datasets of the Ontology Alignment Evaluation Initiative. The results are encouraging and suggest that the proposed methods are adequate...
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MAS corpus

María Navas-Loro, Víctor Rodríguez-Doncel, Alba Fernández-Izquierdo, Idafen Santana-Pérez & Alberto Sánchez
Corpus of Spanish tweets for Marketing, including tags on Sentiment Analysis (emotions), Marketing Mix and Purchase Funnel by human taggers.
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MAS corpus

María Navas-Loro, Víctor Rodríguez-Doncel, Alba Fernández-Izquierdo, Idafen Santana-Pérez & Alberto Sánchez
Corpus of Spanish tweets for Marketing, including tags on Sentiment Analysis (emotions), Marketing Mix and Purchase Funnel by human taggers.
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Australian Federal Legislation - Principal acts in force

Víctor Rodríguez-Doncel
This dataset is a corpus with 884 documents in legal Australian English. These documents are part of the Australian Federal Legislation principal acts in force as of 29 December 2018. The documents are offered in two forms: (1) as pure txt documents (2) as RDF turlte documents following the ELI schema (European Legislation Identifier ontology).
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Australian Federal Legislation - Principal acts in force

Víctor Rodríguez-Doncel
This dataset is a corpus with 884 documents in legal Australian English. These documents are part of the Australian Federal Legislation principal acts in force as of 29 December 2018. The documents are offered in two forms: (1) as pure txt documents (2) as RDF turlte documents following the ELI schema (European Legislation Identifier ontology).
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CORAL: A corpus of ontological requirements annotated with Lexico-Syntactic Patterns

Alba Fernández-Izquierdo, María Poveda-Villalón & Raúl García-Castro
In this work we present CORAL (Corpus of Ontological Requirements Annotated with Lexico-syntactic patterns), an openly available corpus of 834 ontological requirements annotated and 29 lexico-syntactic patterns, from which 12 are proposed in this work. CORAL is openly available in three different open formats, namely, HTML, CSV and RDF.
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CORAL: A corpus of ontological requirements annotated with Lexico-Syntactic Patterns

Alba Fernández-Izquierdo, María Poveda-Villalón & Raúl García-Castro
In this work we present CORAL (Corpus of Ontological Requirements Annotated with Lexico-syntactic patterns), an openly available corpus of 834 ontological requirements annotated and 29 lexico-syntactic patterns, from which 12 are proposed in this work. CORAL is openly available in three different open formats, namely, HTML, CSV and RDF.
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The List Of Qps Status Recommended Biological Agents For Safety Risk Assessments Carried Out By Efsa

Antonia Ricci, Ana Allende, Declan Bolton, Marianne Chemaly, Robert Davies, Rosina Girones, Konstantinos Koutsoumanis, Roland Lindqvist, Birgit Nørrung, Lucy Robertson, Giuseppe Ru, Pablo Salvador Fernández Escámez, Moez Sanaa, Marion Simmons, Panagiotis Skandamis, Emma Snary, Niko Speybroek, Benno Ter Kuile, John Threlfall, Helene Wahlström, Pier Sandro Cocconcelli, Luisa Peixe, Günter Klein, Miguel Prieto Maradona, Amparo Querol … & Lieve Herman
The European Food Safety Authority (EFSA) asked the Panel on Biological Hazards (BIOHAZ) to deliver a scientific Opinion on the maintenance of the list of qualified presumption of safety (QPS) biological agents. The QPS approach was developed by the EFSA Scientific Committee to provide a harmonised generic pre-evaluation to support safety risk assessments of biological agents intentionally introduced into the food and feed chain, in support of the concerned scientific Panels and Units in the...
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ConvLMD

Verónica Panadeiro, Antón García & Adrián Pallas
Dataset of MWIR coaxial images of Laser Metal Deposition process using different laser power and robot speed configurations.
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Computational History of Philosophy of Science (Comp HOPOS) Dataset

Daniel J. Hicks, Rick Morris & Evelyn Brister
The Computational History of Philosophy of Science (Comp HOPOS) aims to be a comprehensive set of article and (when available) book chapter metadata for philosophy of science. The dataset covers the full run of over 40 journals and 3 major book series in the field. An automated author disambiguation script is used to construct canonical names for each author, and a combination of gender attribution methods is used to attribute the gender of each author....
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DOIBoost Dataset Dump

Sandro La Bruzzo, Paolo Manghi & Andrea Mannocci
Research in information science and scholarly communication strongly relies on the availability of openly accessible datasets of metadata and, where possible, their relative payloads. To this end, CrossRef plays a pivotal role by providing free access to its entire metadata collection, and allowing other initiatives to link and enrich its information. Therefore, a number of key pieces of information result scattered across diverse datasets and resources freely available online. As a result of this fragmentation,...
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DOIBoost Dataset Dump

Sandro La Bruzzo, Paolo Manghi & Andrea Mannocci
Research in information science and scholarly communication strongly relies on the availability of openly accessible datasets of metadata and, where possible, their relative payloads. To this end, CrossRef plays a pivotal role by providing free access to its entire metadata collection, and allowing other initiatives to link and enrich its information. Therefore, a number of key pieces of information result scattered across diverse datasets and resources freely available online. As a result of this fragmentation,...
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OpenAIRE ScholeXplorer Service: Scholix JSON Dump

Sandro La Bruzzo & Paolo Manghi
This datasets contains the GZ-compressed dump of the information space of the OpenAIRE ScholeXplorer service. The dataset consists of 126+ Million literature-dataset and dataset-dataset links between 12+ Million objects, where links are encoded as records in Scholix format (schema Version 3). Links were collected from publishers (CrossRef, EventData), data centers (DataCite), and institutional/thematic repositories (OpenAIRE). the links are organized in 29 compressed files, each of ~500MB, for a total of ~15GB,.
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Registration Year

  • 2018
    23,924

Resource Types

  • Dataset
    23,924