Observations.be - Orthoptera occurrences in Wallonia, Belgium

Observations.be - Orthoptera occurrences in Wallonia, Belgium is a species occurrence dataset published by Natagora. The dataset contains over 35,000 occurrences of 46 occurring species, recorded by volunteers (citizen scientists), mainly since 2008. The occurrences are derived from the database https://observations.be, an initiative from the nature conservation NGO Natagora (https://www.natagora.be) in collaboration with Stichting Natuurinformatie and Natuurpunt. Standardized information regarding the occurrence's sex, lifeStage, behavior, occurrenceRemarks, and samplingProtocol is included as well. Generalized and/or withheld information: for some occurrences, location information is generalized to grid cells, as requested by the observer (usually to avoid disturbance or collecting). Observer name, toponyms, and photographs are not included in the published dataset, but are known in the source database. We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate however, if you read and follow these norms for data use (https://www.natagora.be/donnees_naturalistes_usage) and provide a link to the original dataset whenever possible. If you use these data for a scientific paper, please cite the dataset following the applicable citation norms and/or consider us for co-authorship. We are always interested to provide more information or know how you have used the data, so please contact us via the contact information provided in the metadata or via [e-mail].本数据集为比利时瓦隆大区直翅目(Orthoptera)物种出现记录数据集，由Natagora发布。数据集包含自2008年以来主要由志愿者（公民科学家）记录的46个物种的35000余条出现记录。该数据集源自https://observations.be数据库，该数据库系自然保护非政府组织Natagora（https://www.natagora.be）与Stichting Natuurinformatie、Natuurpunt合作发起的项目。数据集同时收录了关于记录的性别、生命阶段、行为、记录备注及采样方案的标准化信息。 泛化或隐去的信息：部分记录的位置信息已按照观测者的要求泛化至网格单元，此举通常用于避免对物种的干扰或采集行为。已发布的数据集中未包含观测者姓名、地名及照片，但上述信息在源数据库中可被查询到。 本数据集已通过CC0(Creative Commons Zero)协议豁免至公共领域。若您能遵守数据使用规范（https://www.natagora.be/donnees_naturalistes_usage）并尽可能为原始数据集提供引用链接，我们将不胜感激。若您将本数据集用于学术论文，请遵循适用的引用规范进行引用，或可考虑邀请我们作为共同作者。我们始终乐于提供更多相关信息，或了解您的数据使用场景，因此请通过元数据中提供的联系方式，或发送邮件至[e-mail]与我们取得联系。