The example below is a full time-series data download, import and plot workflow in 4 steps : get the URL with the package getremotedata, download with the package httr, import and plot with the package raster. Packages purrr and sf are also used.

Data of interest are :

Region of interest :

Preliminary step : call the packages and set-up the region and the time range of interest

require(getremotedata)
require(sf)
require(raster)
require(magrittr)
require(purrr)
require(httr)
roi <- st_as_sf(data.frame(geom = "POLYGON ((-5.82 9.54, -5.42 9.55, -5.41 8.84, -5.81 8.84, -5.82 9.54))"), wkt = "geom", crs = 4326)
time_range <- as.Date(c("2017-01-01","2017-01-30"))

1. Get the URLs of the data for a given ROI and time frame

roi <- st_as_sf(data.frame(geom = "POLYGON ((-5.82 9.54, -5.42 9.55, -5.41 8.84, -5.81 8.84, -5.82 9.54))"), wkt = "geom", crs = 4326)
time_range <- as.Date(c("2017-01-01","2017-01-30"))

# SRTM
strm_urls <- grd_get_url(collection = "SRTMGL1.003", roi = roi)
print(str(strm_urls))
#> 'data.frame':    2 obs. of  4 variables:
#>  $ time_start: logi  NA NA
#>  $ name      : chr  "N08W006.SRTMGL1.hgt.zip" "N09W006.SRTMGL1.hgt.zip"
#>  $ url       : chr  "http://e4ftl01.cr.usgs.gov/MEASURES/SRTMGL1.003/2000.02.11/N08W006.SRTMGL1.hgt.zip" "http://e4ftl01.cr.usgs.gov/MEASURES/SRTMGL1.003/2000.02.11/N09W006.SRTMGL1.hgt.zip"
#>  $ destfile  : chr  "SRTMGL1.003/N08W006.SRTMGL1.hgt.zip" "SRTMGL1.003/N09W006.SRTMGL1.hgt.zip"
#> NULL

# TAMSAT
tamsat_urls <- grd_get_url(collection = "TAMSAT",variables = c("daily_rainfall_estimate"), time_range = time_range)
print(str(tamsat_urls))
#> 'data.frame':    30 obs. of  4 variables:
#>  $ time_start: Date, format: "2017-01-30" "2017-01-29" ...
#>  $ name      : chr  "rfe2017_01_30.v3.nc" "rfe2017_01_29.v3.nc" "rfe2017_01_28.v3.nc" "rfe2017_01_27.v3.nc" ...
#>  $ url       : chr  "https://www.tamsat.org.uk/public_data/TAMSAT3/2017/01/rfe2017_01_30.v3.nc" "https://www.tamsat.org.uk/public_data/TAMSAT3/2017/01/rfe2017_01_29.v3.nc" "https://www.tamsat.org.uk/public_data/TAMSAT3/2017/01/rfe2017_01_28.v3.nc" "https://www.tamsat.org.uk/public_data/TAMSAT3/2017/01/rfe2017_01_27.v3.nc" ...
#>  $ destfile  : chr  "TAMSAT/rfe2017_01_30.v3.nc" "TAMSAT/rfe2017_01_29.v3.nc" "TAMSAT/rfe2017_01_28.v3.nc" "TAMSAT/rfe2017_01_27.v3.nc" ...
#> NULL

# VIIRS_DNB_MONTH
viirsdnb_urls <- grd_get_url(collection = "VIIRS_DNB_MONTH",variables = c("Monthly_AvgRadiance"), roi = roi, time_range = time_range)
print(str(viirsdnb_urls))
#> 'data.frame':    1 obs. of  4 variables:
#>  $ time_start: chr "2017-01-01"
#>  $ name      : chr "Monthly_AvgRadiance_201701.tif"
#>  $ url       : chr "https://gis.ngdc.noaa.gov/arcgis/rest/services/NPP_VIIRS_DNB/Monthly_AvgRadiance/ImageServer/exportImage?bbox=-"| __truncated__
#>  $ destfile  : chr "VIIRS_DNB_MONTH/Monthly_AvgRadiance_201701.tif"
#> NULL

# MIRIADE
imcce_urls <- grd_get_url(collection = "MIRIADE", roi = roi, time_range = time_range)
print(str(imcce_urls))
#> 'data.frame':    30 obs. of  4 variables:
#>  $ time_start: Date, format: "2017-01-30" "2017-01-29" ...
#>  $ name      : chr  "20170130.csv" "20170129.csv" "20170128.csv" "20170127.csv" ...
#>  $ url       : chr  "http://vo.imcce.fr/webservices/miriade/ephemcc_query.php?-name=s:Moon&-type=Satellite&-ep=2017-01-30T23:30:00&-"| __truncated__ "http://vo.imcce.fr/webservices/miriade/ephemcc_query.php?-name=s:Moon&-type=Satellite&-ep=2017-01-29T23:30:00&-"| __truncated__ "http://vo.imcce.fr/webservices/miriade/ephemcc_query.php?-name=s:Moon&-type=Satellite&-ep=2017-01-28T23:30:00&-"| __truncated__ "http://vo.imcce.fr/webservices/miriade/ephemcc_query.php?-name=s:Moon&-type=Satellite&-ep=2017-01-27T23:30:00&-"| __truncated__ ...
#>  $ destfile  : chr  "MIRIADE/20170130.csv" "MIRIADE/20170129.csv" "MIRIADE/20170128.csv" "MIRIADE/20170127.csv" ...
#> NULL

# ERA5
# ERA5 is an hourly database, so we keep only 1 day (i.e. not the whole month)
era5_urls <- grd_get_url(collection = "ERA5", variables = c("10m_u_component_of_wind","10m_v_component_of_wind"), roi = roi, time_range = as.Date(c("2017-01-01","2017-01-02")))

2. Download the data

3. Import the data in R

# SRTM 
rast_srtm <- strm_urls$destfile %>%
  map(~unzip(., exdir = dirname(.))) %>%
  map(~raster(.)) %>%
  do.call(merge,.) %>%
  crop(roi)

# TAMSAT
rast_tamsat <- tamsat_urls$destfile %>%
  map(~raster(.)) %>%
  map(~crop(.,roi)) %>%
  brick()
names(rast_tamsat) <- tamsat_urls$time_start

# VIIRS_DNB_MONTH
rasts_viirs <- viirsdnb_urls$destfile %>%
  map(~raster(.)) %>%
  brick(.)
names(rasts_viirs) <- viirsdnb_urls$time_start

# MIRIADE
miriade_dfs <- imcce_urls$destfile %>%
  map(~read.csv(.,skip=10))

# ERA5
rasts_era5 <- era5_urls$destfile %>%
  map(~raster(., varname = "u10")) %>%
  brick(.)
names(rasts_era5) <- era5_urls$time_start


rast_srtm
#> class       : RasterLayer 
#> dimensions  : 2556, 1475, 3770100  (nrow, ncol, ncell)
#> resolution  : 0.0002777778, 0.0002777778  (x, y)
#> extent      : -5.819861, -5.410139, 8.839861, 9.549861  (xmin, xmax, ymin, ymax)
#> coord. ref. : +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0 
#> data source : in memory
#> names       : layer 
#> values      : 268, 575  (min, max)
rast_tamsat
#> class       : RasterBrick 
#> dimensions  : 19, 11, 209, 30  (nrow, ncol, ncell, nlayers)
#> resolution  : 0.0375, 0.0375  (x, y)
#> extent      : -5.83125, -5.41875, 8.83125, 9.54375  (xmin, xmax, ymin, ymax)
#> coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0 
#> data source : in memory
#> names       : X2017.01.30, X2017.01.29, X2017.01.28, X2017.01.27, X2017.01.26, X2017.01.25, X2017.01.24, X2017.01.23, X2017.01.22, X2017.01.21, X2017.01.20, X2017.01.19, X2017.01.18, X2017.01.17, X2017.01.16, ... 
#> min values  :           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0, ... 
#> max values  :         0.0,         0.0,         0.0,         0.0,         0.0,         0.0,         0.0,         0.0,         0.0,         0.0,         0.0,         5.8,         0.0,         0.0,         0.0, ...
rasts_viirs
#> class       : RasterBrick 
#> dimensions  : 400, 400, 160000, 1  (nrow, ncol, ncell, nlayers)
#> resolution  : 0.001775, 0.001775  (x, y)
#> extent      : -5.97, -5.26, 8.84, 9.55  (xmin, xmax, ymin, ymax)
#> coord. ref. : +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0 
#> data source : in memory
#> names       : X2017.01.01 
#> min values  :       -0.08 
#> max values  :       63.86
print(str(miriade_dfs[1:3]))
#> List of 3
#>  $ :'data.frame':    1 obs. of  10 variables:
#>   ..$ X..Date.UTC..JD.      : num 2457784
#>   ..$ RA..h.m.s.            : Factor w/ 1 level "23 12 23.31871": 1
#>   ..$ DE..deg.arcmin.arcs   : Factor w/ 1 level "-06 18 29.6643": 1
#>   ..$ Distance..au.         : num 0.00257
#>   ..$ V.Mag                 : num -6.84
#>   ..$ Phase..o.             : num 144
#>   ..$ Sun.elong..o.         : num 35.6
#>   ..$ muRAcosDE..arcsec.min.: num 43.1
#>   ..$ muDE..arcsec.min.     : num 11.2
#>   ..$ Dist_dot..km.s.       : num 0.248
#>  $ :'data.frame':    1 obs. of  10 variables:
#>   ..$ X..Date.UTC..JD.      : num 2457783
#>   ..$ RA..h.m.s.            : Factor w/ 1 level "22 21  8.46964": 1
#>   ..$ DE..deg.arcmin.arcs   : Factor w/ 1 level "-10 10  5.8931": 1
#>   ..$ Distance..au.         : num 0.0026
#>   ..$ V.Mag                 : num -5.26
#>   ..$ Phase..o.             : num 157
#>   ..$ Sun.elong..o.         : num 23.4
#>   ..$ muRAcosDE..arcsec.min.: num 44.5
#>   ..$ muDE..arcsec.min.     : num 10.2
#>   ..$ Dist_dot..km.s.       : num 0.167
#>  $ :'data.frame':    1 obs. of  10 variables:
#>   ..$ X..Date.UTC..JD.      : num 2457782
#>   ..$ RA..h.m.s.            : Factor w/ 1 level "21 29 36.14850": 1
#>   ..$ DE..deg.arcmin.arcs   : Factor w/ 1 level "-13 27 59.9202": 1
#>   ..$ Distance..au.         : num 0.00262
#>   ..$ V.Mag                 : num -2.36
#>   ..$ Phase..o.             : num 168
#>   ..$ Sun.elong..o.         : num 11.5
#>   ..$ muRAcosDE..arcsec.min.: num 45.3
#>   ..$ muDE..arcsec.min.     : num 8.32
#>   ..$ Dist_dot..km.s.       : num 0.079
#> NULL
rasts_era5
#> class       : RasterBrick 
#> dimensions  : 3, 2, 6, 25  (nrow, ncol, ncell, nlayers)
#> resolution  : 0.25, 0.25  (x, y)
#> extent      : -5.945, -5.445, 8.715, 9.465  (xmin, xmax, ymin, ymax)
#> coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0 
#> data source : in memory
#> names       : X2017.01.02.00.00.00, X2017.01.01.23.00.00, X2017.01.01.22.00.00, X2017.01.01.21.00.00, X2017.01.01.20.00.00, X2017.01.01.19.00.00, X2017.01.01.18.00.00, X2017.01.01.17.00.00, X2017.01.01.16.00.00, X2017.01.01.15.00.00, X2017.01.01.14.00.00, X2017.01.01.13.00.00, X2017.01.01.12.00.00, X2017.01.01.11.00.00, X2017.01.01.10.00.00, ... 
#> min values  :           -0.8141584,           -1.1385984,           -1.2836151,           -0.9246990,           -0.8993572,           -0.7861232,           -0.7462901,           -0.8951994,           -1.0976095,           -1.3974714,           -1.8156195,           -2.2225685,           -2.5027256,           -2.4738798,           -2.3199224, ... 
#> max values  :           -0.3400831,           -0.6051512,           -0.8189163,           -0.6034481,           -0.6186794,           -0.4978389,           -0.5015925,           -0.7188536,           -0.8169317,           -1.1053572,           -1.5913153,           -2.0937271,           -2.3445568,           -2.1918898,           -1.9231634, ...

4. Display / Plot

# SRTM 
plot(rast_srtm)


# TAMSAT
plot(rast_tamsat)


# VIIRS_DNB_MONTH
plot(rasts_viirs)