Workflows

recommenderSystem (1)

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Complementary workflow for the modelBuild. It can read the trained model parameters in order to classify samples in another dataset.

Created: 2017-01-20 | Last updated: 2017-01-20

modelBuild (1)

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Using this workflow one can train a softmax regression model (a machine learning algorithm) and the learnt parameters are exported to files.

Created: 2017-01-20 | Last updated: 2017-01-20

dataExploration (1)

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This workflow allows the user to explore and process a dataset file.

Created: 2017-01-20 | Last updated: 2017-01-20

repoRead (1)

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Workflow created to perform a search over the Harvard Dataverse. It can also download datasets linked files.

Created: 2017-01-20 | Last updated: 2017-01-20

REF2014 impact study summary by ID (2)

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Queries the UK REF2014 impact study API by the ID of the study, extracts the ImpactSummary element, and outputs its value as text.

Created: 2015-09-05 | Last updated: 2015-09-05

Comparison and update values (1)

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This workflow receives two files, the name of a table and the name of a field as input. One of the file should be contain a list of old values (name galaxy and value), and the other one should be a list of new values (name galaxy,value) The workflow makes a comparison between the two files. This comparison will be a list of 7 columns: name of the galaxy, old value, old error, new value, new error, difference of value, difference of error. In other hand, this workflow makes a sql script with ...

Created: 2011-11-30 | Last updated: 2011-11-30

Gathering galaxy properties using HyperLEDA (2)

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The user provides an ASCII text file with a list of galaxy names, and the workflow queries the HyperLEDA database and parses the response with the help of regular expressions included in simple Python scripts. The result of the workflow is a series of ASCII text files with the values of the equatorial coordinates in J2000 epoch, the velocities in km/s, the dust extinction coefficient Ag, the axis ratio of the isophote 25 mag/arcsec2 logr25 and the apparent total B magnitude BT. The performanc...

Created: 2011-11-30 | Last updated: 2013-03-08

Propagation of physical quantities in the ... (3)

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This workflow takes as input a file for each of this properties: J2000 Coordinates, velocity, galactic extinction, log of axis ratio, and the Total B-magnitude. With this properties it calculates the distance of the galaxy and, in other hand, the total apparent corrected B-magnitude. It takes account if the velocity of the galaxy is lower than a threshold (1000km/s), it can not be possible to calculate the distance so, in those cases the distance will be "NaN". At the end, it calculates the ...

Created: 2011-11-30 | Last updated: 2013-04-22

Calculation of distances, magnitutes and l... (4)

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Calculation of distances, corrected apparent B magnitude mB-corr and luminosities with values gathered from the HyperLEDA database. This workflow receives a list of galaxy names (hyperLEDA names. ie: KIG0001) and a file with the morphological types of those galaxies Using the name of a galaxy, the workflow querys Hyperleda to extract some properties of this galaxy (J2000 Coordinates, velocity, galactic extinction,log of axis ratio, and the Total B-magnitude ). With this properties it calcula...

Created: 2011-11-14 | Last updated: 2012-01-11

What's the Season? (1)

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When given a list of astronomical object names, this workflow will check them against a simple Excel spreadsheet and return which season the object is best observed in. It will also compare the distances to the objects in a Google Charts bar chart. A later version of this may switch to a scatter plot, depending on whether or not this works with the Google Chart API. Running this workflow requires Python. Sys and string should be bundled in Python, but the numpy module will need to be downloa...

Created: 2011-10-05 | Last updated: 2011-10-05

Attributions: Spreadsheet Import Example