Use R to extract variables of netcdf (not one file but from a list)

Question

I am trying to read 100 netcdf files using the package ncdf4 of R.

library(ncdf4)
require(ncdump)
library(reshape2)
require(arrayhelpers)


flist <- list.files(ncpath, pattern = "tempp.nc",recursive=TRUE, 
                full.names=TRUE) 
pts <- read.table(ncpath/pts.dat,sep="\t",head=F) 

I can read the variables for each file .nc, however I have tried to go through all the files and read, for examples, longitude, latitude and the temperature value. From this, I can generate a table with all values.

I haven't managed to get every variable from the netcdf in a recursive way. This means, extracting longitude, latitude, and temperature to integrate all the 100 files in a dataframe.

If I had raster files I can do the following and works to extract values from specific points' file ('pts.dat').

   extracted=list()         
   for(i in seq_along(flist)) {
   extracted[[i]] = extract(raster(flist[i]), pts, method="simple")  } 

Thus, I am searching for something similar to the above 'extracted' to go through the 100 temperature files that look like this:

The digital elevation model used: float dem(grid_lat, grid_lon) ; dem:long_name = "Grid_dem" ; dem:standard_name = "depth" ; dem:units = "meters" ; dem:missing_value = -9999.f ; dem:_FillValue = -9999.f ;

The resulted temperature value: float temp(lat, lon) ; temp:long_name = "Temperature" ; temp:units = "meters" ; temp:missing_value = -9999.f ; temp:_FillValue = -9999.f ;