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+
+This unified dataset was combines Ecostress Water Use Efficiency (WUE), SRTM, NLCD (2019), slope, aspect, and GEDI level 2B cover, pavd, and fhd data at a 5m resolution.
+Another repo explaines in detials about building a dataset, training and evlauating machine learning models on the data, and running diagnostics. 
+Please refer to https://github.com/j-gams/neon_data_project.
+
+Dataset info:
+  -  File type	Cloud-Optimized GeoTIFF (.tif)
+  -  Temporal coverage	2018 to 2022
+  -  Dataset structure:
+        Western-conus: aspect / slope / elevation / WUE (2018-2022)
+        Colorado Sate: WUE (2018-2022) / Evaporative Stress Index (ESI, 2018-2022)
+  - Access: free. Whole dataset has no key required via cyverse esiil-data-oasis
+    
+
+Access pattern:
+The files live in the CyVerse Data Store, in the ESIIL community folder (the ESIIL Data Oasis), and are shared read-only with the anonymous user. 
+That makes them readable over plain HTTPS through CyVerse's anonymous WebDAV endpoint:
+https://data.cyverse.org/dav-anon/iplant/projects/esiil/Ecostress/colorado/colorado_esi_2018_output_cog.tif
+text
+iRODS path:  /iplant/home/shared/esiil/Ecostress/
+HTTPS base:  https://data.cyverse.org/dav-anon/iplant/projects/esiil/Ecostress
+
+Because the rasters are Cloud-Optimized GeoTIFFs served over HTTPS, GDAL's /vsicurl/ driver can read a bounding-box subset without downloading the whole file. Browse the folder in the CyVerse Data Commons.
+
+Access constraints
+No key, no account, no authentication required. The folder is shared read-only with the CyVerse anonymous user, so any HTTPS client can read it. There is no rate-limit guarantee — if a request returns a redirect to unblockme.cyverse.org, your IP has been throttled or blocked; wait and retry or use the unblock page.
+
+R example
+R
+#install.packages(c("terra", "httr"))
+library(terra)
+
+ECOSTRESS_URL <- paste0(
+  "https://data.cyverse.org/dav-anon/iplant/home/shared/esiil/",
+  "Ecostress/colorado/colorado_wue_2018_output_cog.tif"
+)
+
+get_ecostress_wue <- function(url = ECOSTRESS_URL,
+                              aoi = c(-105.5, -105.2, 40.0, 40.3)) {
+  # aoi = c(xmin, xmax, ymin, ymax) in the raster's CRS.
+  # Stream the raster header only; /vsicurl/ reads bytes on demand.
+  r <- terra::rast(paste0("/vsicurl/", url))
+
+  # Fail loudly if the URL is not readable rather than plotting an empty map.
+  if (terra::ncell(r) == 0) stop("Raster could not be read from: ", url)
+
+  # Subset to the area of interest before pulling any pixels.
+  sub <- terra::crop(r, terra::ext(aoi))
+
+  # Minimum viable plot.
+  terra::plot(sub, main = "ECOSTRESS water use efficiency")
+
+  sub
+}
+
+wue <- get_ecostress_wue()
+summary(terra::values(wue))
+print(float(wue.mean()))
+
+Python example
+python
+# pip install rioxarray matplotlib
+import matplotlib.pyplot as plt
+import rioxarray
+
+ECOSTRESS_URL = (
+    "https://data.cyverse.org/dav-anon/iplant/home/shared/esiil/"
+    "Ecostress/colorado/colorado_wue_2018_output_cog.tif"
+)
+
+
+def get_ecostress_wue(url=ECOSTRESS_URL, aoi=(-105.5, 40.0, -105.2, 40.3)):
+    """Stream an ECOSTRESS WUE subset, make a minimum viable plot, return it.
+
+    aoi is (xmin, ymin, xmax, ymax) in the raster's CRS.
+    """
+    # Open lazily over HTTPS; only the requested window is transferred.
+    da = rioxarray.open_rasterio(url, masked=True, chunks=True).squeeze()
+
+    xmin, ymin, xmax, ymax = aoi
+    sub = da.rio.clip_box(minx=xmin, miny=ymin, maxx=xmax, maxy=ymax)
+
+    if sub.size == 0:
+        raise ValueError(f"Empty subset - check that {aoi} overlaps the raster extent.")
+
+    # Minimum viable plot.
+    sub.plot(robust=True)
+    plt.title("ECOSTRESS water use efficiency")
+    plt.tight_layout()
+    plt.show()
+
+    return sub
+#test and print the results
+ wue = get_ecostress_wue()
+ print(float(wue.mean()))
+
+
+Derived layers: GEDI-ECOSTRESS data project, Earth Lab / ESIIL, University of Colorado Boulder. https://github.com/earthlab/GEDI-ECOSTRESS_data_project
+Hosting: ESIIL community folder, CyVerse Data Store, /iplant/home/shared/esiil/ECOSTRESS/.