^{<strong>Habitat Suitability Data for Key Freshwater Species in the Halda River, Bangladesh</strong>}

This dataset supports a study on habitat suitability modeling for five freshwater species in the Halda River, Bangladesh, using the MaxEnt model. The data includes species presence data collected via GPS, environmental variables such as hydrological and bioclimatic factors, and processed model outputs. The purpose of this dataset is to inform conservation efforts by providing detailed spatial insights into habitat distribution and overlap for species like <i>Hypophthalmichthys molitrix</i> (Silver Carp), <i>Labeo calbasu </i>(Kalibaush), <i>Platanista gangetica</i> (Ganges River Dolphin), <i>Rasbora rasbora</i> (Swamp Barb), and<i> Labeo rohita</i> (Rui). Methods used in data collection include field surveys, remote sensing, and GIS processing in ArcGIS. This dataset allows for replicating and building upon the habitat suitability analysis reported in the study.

本数据集支撑一项针对孟加拉国哈尔达河五种淡水物种的栖息地适宜性建模研究，所采用的模型为最大熵（MaxEnt）模型。数据集包含通过全球定位系统（GPS）采集的物种出现点位数据、水文与生物气候因子等环境变量，以及经预处理的模型输出结果。本数据集旨在通过为鲢鱼（Hypophthalmichthys molitrix，英文名Silver Carp）、卡利巴鲃（Labeo calbasu，俗称Kalibaush）、恒河豚（Platanista gangetica，英文名Ganges River Dolphin）、沼泽鲃（Rasbora rasbora，英文名Swamp Barb）以及露斯塔野鲮（Labeo rohita，俗称Rui）等物种提供栖息地分布与重叠情况的精细化空间解析，为相关保护工作提供决策依据。数据采集与处理手段包括野外调查、遥感技术，以及基于ArcGIS平台的地理信息系统（GIS）分析流程。本数据集可用于复现该研究中报道的栖息地适宜性分析工作，亦可在此基础上开展拓展性研究。