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ERDDAP > tabledap > Subset ?

Dataset Title:  Flow Cytometry : Fuchs et al. (2021) - Data and models Subscribe RSS
Institution:  MIO UMR 7294 CNRS   (Dataset ID: Automatic_recognition_CNN_material)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 59)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    fileType ?  =  59 options

View:      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?


 

Distinct Data Counts ?

To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.

 


Distinct Data ?   (Metadata)    (Refine the data subset and/or download the data)  

fileType
 
 
.application
.backup
.bib
.c4e
.cls
.cmw
.config
.csv
.cyto
.cyz
.data-00000-of-00001
.db
.dll
.docx
.exe
.gif
.gitattributes
.gitignore
.html
.ico
.in
.index
.JNB
.JPG
.jpg
.m
.manifest
.mat
.md
.npz
.odp
.parq
.pb
.pdb
.pdf
.pickle
.PNG
.png
.pper
.pptx
.py
.R
.rar
.raw
.RData
.Rdata
.Rhistory
.Rproj
.rst
.sty
.tex
.tif
.txt
.xlsx
.xml
.yaml
.yml
.zip

In total, there are 59 rows of distinct combinations of the variables listed above. All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.
 


Related Data Counts ?

To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.
 


Related Data ?   (Metadata)    (Refine the data subset and/or download the data)

To view the related data, change View : Related Data above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.


 
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