Data rescue in manuscripts: a hydrological modelling study example

Figures & data

Figure 1. Hydrological data and publication in the past, present (current) and future.

Table 1. Data linking sources, codes, and figures.

Figure in Yu et al. (2015)	Figure in this study	Visualization code/tool	Data section
	Figure 3	ArcGIS online	Geospatial data
	Figure 4	forest.html	Forest management data
Figure 2		meoto.m	Meteorological data
Figure 6		lai.m	LAI–age data
Figure 8		snowgraphy.m	Hydrological modelling data
Figure 9		hydrography.m
Figure 10		groundwater.m

Figure 2. Workflow of each dataset. The workflow is presented backwards so that readers can easily find the datasets relevant to their interested scientific knowledge presented in figures.

Figure 3. Geospatial data hosted by ArcGIS online. We selected ArcGIS online as host because it provides both visualization and source data.

Figure 4. Spatial-temporal visualization of tree age change due to forest management. This is only a snapshot of the interactive visualization. For dynamic visualization animate, please open the html file in a web browser, which give readers straightforward understanding on forest management.

Table 2. Data archives and properties.

Data section	Data	Size	Format	Extension
Geospatial data	Elevation contour	86.3 KB	ESRI shapefile/line	shp
	Triangle mesh	47.9 KB	ESRI shapefile/polygon	shp
Meteorological data	Standard meteorological observations	15.2 MB	Microsoft Excel worksheet	xlsx
	Snow depth data	265 KB	Microsoft Excel worksheet	xlsx
Forest management data	Tree age by year	136 KB	Microsoft Excel worksheet	xlsx
	Webpage	382 KB	HyperText Markup Language	html
LAI–age data	LAI–age data	270 B	Text file	txt
Hydrological modelling data	PIHM input	8.92 MB	text file	customized
	PIHM output	44.4 MB	text file	customized
	PIHM code	209 KB	C source	c

Table 3. Data hosting and repositories.

Data section	Data repository	DOI/URL
Geospatial data	ArcGIS online	https://arcg.is/19WTPe
Meteorological data	CUAHSI	http://doi.org/10.4211/hs.7f1c8d5a61a541e388403f5dbde272a8
Forest management data	figshare	https://doi.org/10.6084/m9.figshare.6,871,226.v1
LAI–age data	figshare	https://doi.org/10.6084/m9.figshare.6,871,238.v1
Hydrological modelling data	CUAHSI	http://doi.org/10.4211/hs.85ddf1b1cce44323986b1efe788040a4

Yu, X., et al., 2015. Modeling the long term water yield effects of forest management in a Norway spruce forest. Hydrological Sciences Journal, 60 (2), 174–191. doi:10.1080/02626667.2014.897406

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