Geolocation data of irrigation network in water user association's operation area under community-based and provider-based network governance

Massive irrigation development has influenced the way farmers govern water user associations (WUAs) in Klambu Wilalung Irrigation District in Central Java, Indonesia. Recently, farmers adopt community-based (swakelola) and provider-based (lelang) network governance to manage the WUAs. The physical conditions of the irrigation network have become the primary driver of WUA's governance selection. This article provides geolocation data of irrigation network in the operation area of WUAs under community-based and provider-based network governance. The irrigation network consisted of two components, irrigation canal, and structure. Irrigation canal divided into the primary and secondary canal. The data cover GPS Tracks coordinates for 75 secondary canals and seven primary canals. Meanwhile, irrigation structures were grouped into main and support structures and consists of 12 types of structure. The data covers the GPS waypoint coordinates for 194 irrigation structures. The data also provide basic information of 34 WUAs applying community-based (11 WUAs) and provider-based (23 WUAs) network governance. WUAs basic information obtained from a survey conducted in 2016 and covers information on the type of governance, number of board, number of member farmers, size of operation area, and administrative location of each WUAs. Finally, the data is useful in planning research aimed to explain the role of irrigation infrastructure in shaping WUAs governance. Also, the information is crucial to planning a field survey in the area of the Klambu Wilalung Irrigation District in Central Java.

a survey conducted in 2016 and covers information on the type of governance, number of board, number of member farmers, size of operation area, and administrative location of each WUAs. Finally, the data is useful in planning research aimed to explain the role of irrigation infrastructure in shaping WUAs governance. Also, the information is crucial to planning a field survey in the area of the Klambu Wilalung Irrigation District in Central Java.
© 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license.
( http://creativecommons.org/licenses/by/4.0/ ) Table   Subject Agricultural science Specific subject area Irrigation, water user associations governance Type of data Table  Graph ESRI shapefiles How data were acquired GPS coordinates acquired from irrigation officials of the Klambu Wilalung Irrigation District. Then, we used the coordinate data to create the shapefile (.shp) of the irrigation network. QGIS and Google Earth software was used to develop the shapefiles. Data format Raw Analyzed Parameters for data collection We select all irrigation networks (irrigation canals and structures) located in the operation area of WUAs, adopting community-based and provider-based network governance in the Klambu Wilalung Irrigation District in Central Java, Indonesia.

Description of data collection
The data collection consists of three stages. Value of the Data • The geolocation data of the irrigation network in the WUA operation area facilitate accurate identification of the location of irrigation infrastructure for each WUA. It simplifies the process of tracking and marking irrigation construction that is central in the study of WUA under community-based ( swakelola ) and provider-based ( lelang ) governance in the Klambu Wilalung Irrigation District, Central Java, Indonesia. • Researchers working on common-pool resource theory, especially on network governance, who are looking for a new case study might use this data as a guide for their new survey. Irrigation practitioners in Indonesia working on strengthening WUA's organizational capacity might use this data to locate an exemplary WUA model for WUA in other regions or provinces. • The spatial data of the Klambu Wilalung irrigation network is useful to analyze the motive of WUA's governance selection. This data is crucial in answering the hypothesis of whether physical conditions of irrigation networks affect WUA's governance selection. • Historically, WUA's governance changed as political and social changes occurred. This spatial data is based on the situation in 2015, representing the period from 1990 to 2015. This data is useful to build a historical construct of WUA's governance in future researches. • The data serves as a reference to identify the interrelationship between the presence or absence of irrigation infrastructure and the selection of WUA governance. • The shapefiles can be used to create the irrigation map on each WUA's operation area.

Data Description
There are three types of data in this data article, (1) the dataset, (2) the map of WUA's operation area under provider-based and community-based network governance, and (3) the shapefiles of irrigation network in each village.
(1) The dataset The dataset is in Microsoft excel format. It consists of two worksheets, (1) the WUA and (2) geolocation_data worksheet. The first worksheet provides information on the basic characteristics of WUA and contains twelve variables. The second worksheet provides geolocation data of the irrigation network in each village. Table 1 presents the descriptions of variables in WUA and geolocation_data worksheets.
The geolocation_data worksheet contains the coordinates of each irrigation components in the Klambu Wilalung Irrigation District. There are two irrigation network components, irrigation structure, and canal. Table 2 provides variable descriptions in the geolocation_data worksheet.

(1) The map of irrigation networks
The following data is the map for the village in which the WUA adopted provider-based and community-based governance. The figures provided in this article are examples from two villages, Klambu ( Fig. 1 ) and Medini ( Fig. 2 ) villages. Klambu has one WUA ( Mbangun Tani ) and adopted a community-based network as its mode of governance. On the other hand, Medini has three WUAs ( Kayu Urip, Kandang Rejo, Pingkuk Mulyo ), which managed under provider-based network governance. The complete list of WUA is provided in the dataset. The irrigation map similar to Fig. 1 and Fig. 2 are uploaded with this article.

(1) The shapefiles of irrigation networks
The shapefiles from which irrigation map was created are also uploaded with this article. The shapefiles have been grouped by village. A catalouge containing detailed information for each shapefiles is provided in Microsoft Excel format (Shapefiles catalouge.xlsx). The catalouge consists of two worksheet, the line_polygon and point worksheets. The line_polygon worksheet contains information on the shapefiles of village border, Irrigation canals, and irrigated farmland. Table 3 provides the descriptions of the shapefiles.
The point worksheet contains information on the shapefiles of irrigation structures. The irrigation structure in each village are grouped into one shapefile. Table 4 describes each structure in the shapefiles. Note: a The province is the first-level administrative region in Indonesia, followed by regency (Kabupaten/Kota), district (kecamatan), village (desa/kelurahan). Province, district, and village headed by official winning the largest popular vote. While kecamatan, although larger than village, led by official selected by Reagent (Bupati) and under district command. b Hamlet and neighborhood are the administrative areas under village and village command.

Area of data collection
The data presented here represent Klambu Wilalung Irrigation District (KWID). KWID located in Grobogan and Kudus Regency, Province of East Java, Indonesia. The data cover the area of 20 villages and 34 WUAs. Fig. 3 shows the location of KWID.
The data covers twenty villages and 34 WUAs. Four villages located in Grobogan and have four WUAs. The remaining sixteen villages are situated in Kudus and have 30 WUAs. There are 24 WUAs adopted provider-based network governance, and 11 WUAs took community-based network governance.

Data collection
There are two types of data collected, (1) the WUAs characteristics and (2) the coordinates of irrigation network in KWID. We gathered the first data through enumeration to all WUAs chair-   man in KWID. This process is similar to the enumeration process in our previous data article [2] . The purpose of this enumeration is to define the location of each WUA and its corresponding operation area. We also collected information on the essential characteristics of WUA, such as presented in Table 1 . The result of this enumeration was utilized as a reference in conducting the comprehensive survey presented in our paper [1] . We obtained the coordinates of irrigation networks from irrigation officials in KWID. We then used the coordinates to locate the irrigation networks-all the spatial analysis performed using QGIS software (version 3.12.3). The coordinates data are in UTM format using WGS 84/UTM Zone 49 S. Fig. 4 shows the plotting of the original coordinates data. We then used the original coordinates data to identify irrigation structures and canals. We use Google Satellite images to verify the coordinate points of KWID. We imported the Google Map layer to the QGIS using XYZ tiles. 1 The official village administrative border and farmland layer obtained from the Indonesian Geospatial Information Agency. 2 The spatial analysis to create shapefiles data consists of four stages. In the first stage, we define the village boundary to locate the operation area of each WUA. The official administrative village border was used in this stage. In the second stage, we select the irrigated farmland in a particular village. We use the clip algorithm of QGIS to create a new layer of farmland specific to a specific village. The official farmland area in Kudus and Grobogan was used as the input   files. And the village border was used as the overlay layer. In the third stage, we digitized the irrigation structures located in the village. We grouped each structure type into one shapefiles. Finally, in the fourth stage, we digitized the irrigation canals. The official coordinate data only provide the reference point (the starting and ending point) for each irrigation canal. We then created a new line connecting these reference points. Google Satellite Imagery was used to verify the line remotely. Fig. 5 shows the workflow of spatial analysis.

Ethics Statement
Implied informed consent was obtained from all participant in this study.

Funding
This work was supported by JSPS KAKENHI, Grant Number 18K05839 .

Declaration of Competing Interest
The authors declare no competing interest.