Training Tuesday: slave is plugged everyday, but Tuesdays is the day to work towards larger plugs and Master's fist.
Consistency is key to be shaped into the object Master desires. 🖤 #TrainingTuesday #GayTPE

Training Tuesday: slave is plugged everyday, but Tuesdays is the day to work towards larger plugs and Master's fist.
Consistency is key to be shaped into the object Master desires. 🖤 #TrainingTuesday #GayTPE
This week for #TrainingTuesday, Stefan Lindgren and Carolina Larsson from Lund University Humanities Lab demonstrate the workflows and challenges in developing avatars using motion capture
🧐 campus.dariah.eu/resources/ho...
#DigitalHumanities #motioncapture #humaninteraction
Welcome to Training Tuesdays!
On the first Tuesday of every month, we’re leveling up our solo pet play—building muscle memory, internal authority, and psychological switching.
Subscribe on YouTube to join us!
Galaxy is an open source data analysis platform that enables researchers to create workflows and conduct data analysis without any prior programming skills!
➡️ Check this on DARIAH-Campus: campus.dariah.eu/resources/ex...
The Crop Pollination model for InVEST allows users to derive an index of pollinator abundance by estimating insect pollinator nest sites, floral resources, and flight ranges 🌻
This week in #TrainingTuesday we look at ELAN, an annotation tool that supports transcribing, annotating and visualising audio and video material.
➡️ campus.dariah.eu/resources/ho...
#Transcription #Linguistics #Annotation
InVEST's Carbon Edge Effect model applies known relationships between carbon storage and distance from forest edge to calculate edge effects in above ground carbon storage. #NatCapInVEST #Forestry #TrainingTuesday
Learn more: stanford.io/4aa8u24
Our #TrainingTuesday campaign is back!
This lesson from Programming Historian will provide an introduction to analyzing non-English and multilingual text (that is, text written in more than one language) using Python.
➡️ campus.dariah.eu/resource/pos...
#MultilingualDH #TrainingTuesday #Python
This #TrainingTuesday, spend some time getting to know InVEST's Recreational Model. It uses locations of natural habitats and other features to predict the spread of person-days of recreation. Learn more here: stanford.io/3LBbOtd