Social association of monk parakeets in relation to proximity and relatedness

Monk parakeets are social parrots that live in loose colonies, often building communal nests and breeding cooperatively. Relatives are clustered within nests and within colonies. Data was collected to test the hypothesis that social associations of monk parakeets when away from their nests (foraging, collecting nest material, etc) are driven by either the spatial proximity of their nests and/or by their relatedness. The dataset includes information on the identities of all birds that could potentially associate with a focal bird when away from their respective nests, an index of their association strength (calculated using the simple ratio index), the distance between their respective nests, the dyadic relatedness of the birds estimated using microsatellite genotypes, the number of times the two birds were seen together, and the total number of times the focal bird was observed. Data are separated into different files according to the  year of data collection (2018 or 2019) to avoid pse..., The field study was conducted in the city of Barcelona, Spain (41.39°N 2.17°E). The main study site encompassed Ciutadella Park (c. 30 ha) and smaller parks and streets with mature trees in the surrounding area up to approximately 2 km away. Birds were individually marked with aluminium leg rings and a unique, light-weight medal attached to neck collars, which are visible through binoculars from up to 30-40 m. Blood samples were also taken.
In 2018 and 2019, we recorded groups of individually-marked monk parakeets away from the nest throughout the breeding season (March-September) in two contexts. First, groups of monk parakeets were recorded opportunistically when encountered in the field site. We used the ‘gambit of the group’, which assumes that all individuals in a spatially and temporally clustered group are associated with one another. Individuals were recorded as being in the same group if they were within c. 5 m of each other and any individuals that joined the group within appr..., , # Social association of monk parakeets in relation to proximity and relatedness

## Description of the data and file structure

The basic structure of each file is the same for most data files. The following description is for '2018 full database', '2019 full database', '2018 database excluding trap data', '2019 database excluding trap data' and '2018 same tree only'.

C1 ID1 - Focal bird identity (note that all bird IDs may be just a numeral or a letter followed by a numeral).

C2 ID2 - Identity of other marked birds in the population with whom focal bird could associate with.

C3 Association - Simple Ratio Index (SRI) as a metric of social association (range 0 - 1). SRI is calculated from x (C10 - the number of occasions when the focal bird *A* was seen with potential associate *B*) and y (C11 - the number of occasions the focal bird *A* was observed without the potential associate *B*) using the equation SRI*AB* = x / (x + y*A* + y*B*).

C4 Distance - The distance in m between the ...

和尚鹦鹉(Monk parakeet)是一类群居性鹦鹉，以松散群体形式栖息，常搭建公共巢穴并开展合作繁殖。亲缘个体在巢穴内部及群体中均呈现聚集分布。
本数据集的采集旨在验证一项假说：和尚鹦鹉离巢时（如觅食、收集巢材等场景）的社交关联，要么受其巢穴的空间距离驱动，要么受个体间亲缘关系驱动，或二者共同作用。
本数据集包含以下信息：离巢状态下可与目标个体产生潜在社交关联的所有个体的身份标识、社交关联强度指数（采用简单比例指数(Simple Ratio Index, SRI)计算得到）、个体间巢穴的空间距离、通过微卫星基因型(microsatellite genotypes)估算得到的个体间二元亲缘关系、二者共同被观测到的次数，以及目标个体的总观测次数。数据集按数据采集年份（2018年或2019年）划分为不同文件，以避免伪重复（原文截断为pse...）。本野外研究在西班牙巴塞罗那市开展（北纬41.39°，东经2.17°）。
主要研究区域涵盖休塔迪亚公园（约30公顷）及周边约2公里范围内种植有成熟乔木的小型公园与街道。所有研究个体均通过铝制脚环与安装在颈圈上的独特轻量化标牌进行个体标识，该标牌可在30-40米距离内通过双筒望远镜观测到。研究同时采集了个体的血液样本。
2018年与2019年的繁殖季（3月至9月）期间，我们对离巢的标记个体群体进行了两种场景下的记录。首先，在研究区域内偶遇和尚鹦鹉群体时进行机会性记录。我们采用了群体框架法(gambit of the group)，该方法假设空间与时间上聚集的群体内所有个体之间均存在社交关联。当个体间距离约5米以内，且后续加入该群体的个体在……（原文截断为appr...）时，即被记录为同群个体。# 和尚鹦鹉社交关联与空间距离及亲缘关系的相关性

## 数据与文件结构说明
多数数据文件的基础结构一致。以下说明适用于「2018完整数据库」「2019完整数据库」「2018非诱捕数据数据库」「2019非诱捕数据数据库」以及「2018仅同树个体数据库」。
C1 ID1：目标个体身份标识（请注意，所有个体标识可仅为数字，或字母加数字的形式）。
C2 ID2：种群中其他标记个体的身份标识，即可能与目标个体产生社交关联的个体。
C3 关联度：用于衡量社交关联强度的简单比例指数(Simple Ratio Index, SRI)，取值范围为0至1。SRI的计算公式为SRI_AB = x / (x + y_A + y_B)，其中x对应C10字段（目标个体A与潜在关联个体B共同被观测到的次数），y对应C11字段（目标个体A单独被观测到的次数）。
C4 距离：个体间巢穴的空间距离，单位为米……（原文截断）