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Variability classification of CoRoT targets
We present an improved method for automated stellar variability classification, using fundamental parameters derived from high resolution spectra, with the goal to improve the... -
L- & M-band imaging of the Galactic Center
Photometric data of the sources detected in NAOS/CONICA H- and K-band (1.6 and 2.1{mu}m) and ISAAC L- and M-band (3.8 and 4.7{mu}m) images of the Galactic Center, obtained in... -
2-D Classification, Vilnius Photometry M56 Region
This catalogue gives the seven-color photometry in the Vilnius system stars and two-dimensional classification of 752 stars. Photographically determined magnitudes obtained by... -
Metadata and Rcode for: Carcase grading reflects the variation in beef yield ...
R-script and metadata accompanying data for 'Carcase grading reflects the variation in beef yield - A multivariate method for exploring the relationship between beef yield and... -
Eye-tracking data for classification of geometric shapes
Eye-tracking data for geometric classification tasks for abstract and non-abstract thinking. How to develop and assess abstraction processes are longstanding methodical problems... -
Replication Data for: Quantifying Uncertainty in Foraminifera Classification:...
This dataset contains PNG images of individual foraminifera and sediment grains. The dataset contains a set of training images, and a set of test images. Each of the sets... -
A Profile Classification Model from North-Atlantic Argo temperature data
A quantitative understanding of the integrated ocean heat content depends on our ability to determine how heat is distributed in the ocean and what are the associated coherent... -
Content-based annotation of page images from the (archaeological) historical ...
This dataset employs a comprehensive 11-label classification scheme to categorize scanned images of document pages. The types are based on their content and presentation format.... -
PitVis-2023 Challenge: Endoscopic Pituitary Surgery videos
The first public dataset containing both step and instrument annotations of the endoscopic TransSphenoidal Approach (eTSA). The dataset includes 25-videos... -
Endoscopic Pituitary Surgery Pilot Action Dataset
The first public dataset containing action annotations of the endoscopic TransSphenoidal Approach (eTSA), consisting of 4 action annotations. The action annotations are given in... -
Developing a rule-based method for identifying researchers on Twitter: The ca...
This study seeks to develop a method for identifying the occurrences and proportions of researchers, media and other professionals active in Twitter discussions. As a case... -
Projections of climate types (Köppen-Geiger classification)
The dataset is the result of a Köppen-Geiger classification of climate types on high-resolution climate projections across France. The Köppen–Geiger classification is based on... -
Genre-sensitive Neural Situation Entity classifier (DE, EN)
This is a Classifier for situation entity types as described in Becker et al., 2017. These clause types depend on a combination of syntactic-semantic and contextual features. We... -
PiRATE: a Pipeline to Retrieve and Annotate Transposable Elements
To date, genome assembly of non-model organisms is usually not at chromosomal level and higly fragmented. This fragmentation is recognized to be, in part, the result of a bad... -
Developing a rule-based method for identifying researchers on Twitter: The ca...
This study seeks to develop a method for identifying the occurrences and proportions of researchers, media and other professionals active in Twitter discussions. As a case... -
Genre-sensitive Neural Situation Entity classifier (DE, EN)
This is a Classifier for situation entity types as described in Becker et al., 2017. These clause types depend on a combination of syntactic-semantic and contextual features. We... -
Developing a rule-based method for identifying researchers on Twitter: The ca...
This study seeks to develop a method for identifying the occurrences and proportions of researchers, media and other professionals active in Twitter discussions. As a case... -
Classification Endmember Selection with Multi-Temporal Hyperspectral Data
In hyperspectral image classification, so-called spectral endmembers are used as reference data. These endmembers are either extracted from an image or taken from another... -
OK, Computer, what are these books about? - data files
The core of this experiment is the use of the entity-fishing algorithm, as created and deployed by DARIAH. In the most simple terms: it scans texts for terms that can be linked... -
Cinderella - tool for Clustering and Classifications of Texts in Polish
System for clustering and classifications of Texts in Polish. Source code.
