Dataset of Georeferenced Dams in South America (DDSA) v1.0.1

<strong>Updated version 1.0.1:</strong> We present version 1.0.1 to the DDSA database, the improvements made to version 1.0.0 are described below: New hydrological information attributes have been included: Aridity index Residence time Degree of regulation. A shapefile of watersheds for each dam has been included. Supplementary table 1: Future Dams in South America has been included. <strong>Recommended citation</strong> Article citation will be added once the article is available. <strong>Use of the dataset</strong> Before using the dataset, please notify us ([e-mail]; [e-mail]) if you use the dataset so that we can keep track of how it is used and take that into consideration when updating and improving the dataset. When using this dataset or one of its updates, please cite the DOI of the precise version of the dataset used and also the data description article which this dataset is supplement to (see above). Please consider also citing the relevant original sources when using this dataset. <strong>Description</strong> Dams and their reservoirs generate major impacts on society and the environment. In general, its relevance relies on facilitating the management of water resources for anthropogenic purposes. However, dams could also generate many potential adverse impacts related to safety, ecology or biodiversity. These factors, and the additional effects that climate change could cause in these infrastructures and their surrounding environment, highlight the importance of dams and the necessity for their continuous monitoring and study. There are several studies examining dams both at regional and global scale, however, those that include the South America region focus mainly on the most renowned basins (primarily the Amazon basin), most likely due to the lack of records on the rest of the basins of the region. For this reason, a consistent database of georeferenced dams located in South America is presented: Dataset of georeferenced dams in South America DDSA. It contains 1,010 entries of dams with a combined reservoir volume of 1,017 cubic kilometres and it is presented in form of a list describing a total of 24 attributes that include the dams name, characteristics, purposes and georeferenced location. Also, hydrological information on the dams’ catchments is also included: catchment area, mean precipitation, mean near-surface temperature, mean potential evapotranspiration, mean runoff, catchment population, catchment equipped area for irrigation, aridity index, residence time and degree of regulation. Information was obtained from public records, governments records, existing international databases and from extensive internet research. Each register was validated individually and geolocated using public access online map browsers and then, hydrological and additional information was derived from a hydrological model computed using the HydroSHEDS dataset. With this database, we expect to contribute to the development of new research in this region. <strong>Content</strong> The files included in the Dataset of georeferenced dams in South America DDSA are: <strong>1.</strong> Dam Information <strong>2.1.</strong> Dam Hydrological Information - Catchment Area <strong>2.2.</strong> Dam Hydrological Information - Catchment Mean Monthly Near Surface Temperature <strong>2.3. </strong>Dam Hydrological Information - Catchment Mean Monthly Precipitation <strong>2.4.</strong> Dam Hydrological Information - Catchment Mean Monthly Potential Evapotranspiration <strong>2.5. </strong>Dam Hydrological Information - Catchment Mean Monthly Runoff <strong>2.6.</strong> Dam Hydrological Information - Catchment Population <strong>2.7. </strong>Dam Hydrological Information - Catchment Eqquiped Area for Irrigation <strong>2.8. </strong>Dam Hydrological Information - Aridity Index <strong>2.9. </strong>Dam Hydrological Information - Residence Time <strong>2.10. </strong>Dam Hydrological Information - Degree of Regulation <strong>3.</strong> Dataset Attribute Description <strong>4.</strong> Dataset Data Source <strong>5.</strong> Dataset in KMZ format <strong>6.</strong> Dataset in SHAPEFILE format (dams) <strong>7. </strong>Dataset in SHAPEFILE format (dams catchments) <strong>8. </strong>Supplementary Table 1: Future Dams in South America**更新至版本1.0.1:** 我们面向DDSA数据库（DDSA Database）推出了1.0.1版本，以下为针对1.0.0版本所做的改进说明：新增了三类水文信息属性：干旱指数（Aridity index）、驻留时间（Residence time）以及调节程度（Degree of regulation）。新增了各大坝流域的SHAPEFILE（SHAPEFILE）矢量文件。补充表1：《南美洲未来大坝》已纳入数据集。**推荐引用方式**：待相关学术论文正式上线后，将补充完整的文章引用格式。**数据集使用须知**：若您计划使用本数据集，请通过以下邮箱告知我们（[e-mail]; [e-mail]），以便我们追踪数据集的使用情况，并在后续更新与优化工作中予以参考。在使用本数据集及其更新版本时，请引用所使用的具体数据集版本的DOI，同时引用本数据集对应的补充数据描述文章（详见上文）。此外，使用本数据集时也请一并引用相关原始数据源。**数据集概述**：大坝及其水库对社会与环境均产生深远影响。总体而言，其核心价值在于为人类水资源管理提供支撑，但同时也可能引发安全、生态或生物多样性相关的诸多潜在负面影响。加之气候变化可能对这类水利基础设施及其周边环境带来额外影响，凸显了大坝监测与持续研究的重要性。目前已有不少针对区域及全球尺度的大坝相关研究，但聚焦南美洲区域的研究多集中于知名流域（以亚马孙流域为主），这大概率源于该区域其他流域的相关记录较为匮乏。为此，本研究构建了一套标准化的南美洲地理参考大坝数据库：南美洲地理参考大坝数据集DDSA（Dataset of georeferenced dams in South America DDSA）。该数据集包含1010条大坝记录，总水库库容达1017立方千米，以列表形式呈现，涵盖24项属性，包括大坝名称、特征、用途及地理参考位置。此外，还包含大坝集水区的水文信息：集水区面积、平均降水量、平均近地表气温、平均潜在蒸散量、平均径流量、集水区人口、集水区灌溉有效面积、干旱指数、驻留时间以及调节程度。本数据集的信息来源于公开档案、政府记录、现有国际数据库以及广泛的网络调研。每条记录均经过单独验证，并通过公开在线地图浏览器完成地理定位，随后基于HydroSHEDS数据集（HydroSHEDS Dataset）构建的水文模型提取得到水文及其他相关信息。本数据库旨在为该区域的相关研究提供支撑，推动新的科研进展。**数据集内容**：南美洲地理参考大坝数据集DDSA包含以下文件：1. 大坝基础信息2.1. 大坝水文信息——集水区面积2.2. 大坝水文信息——集水区月均近地表气温2.3. 大坝水文信息——集水区月均降水量2.4. 大坝水文信息——集水区月均潜在蒸散量2.5. 大坝水文信息——集水区月均径流量2.6. 大坝水文信息——集水区人口2.7. 大坝水文信息——集水区灌溉有效面积2.8. 大坝水文信息——干旱指数2.9. 大坝水文信息——驻留时间2.10. 大坝水文信息——调节程度3. 数据集属性说明4. 数据集数据源说明5. KMZ格式（KMZ）数据集6. SHAPEFILE格式（SHAPEFILE）大坝数据集7. SHAPEFILE格式（SHAPEFILE）大坝集水区数据集8. 补充表1：《南美洲未来大坝》