資料紀錄
此資源出現紀錄的資料已發佈為達爾文核心集檔案(DwC-A),其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 23,358 筆紀錄。
亦存在 1 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。
- Occurrence (核心)
- Multimedia
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下載
下載最新版本的 Darwin Core Archive (DwC-A) 資源,或資源詮釋資料的 EML 或 RTF 文字檔。
版本
以下的表格只顯示可公開存取資源的已發布版本。
權利
研究者應尊重以下權利聲明。:
此資料的發布者及權利單位為 Royal Belgian Institute of Natural Sciences。 To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.
GBIF 註冊
此資源已向GBIF註冊,並指定以下之GBIF UUID: ac4f02e9-ce6a-4132-892a-b478bc79ed14。 Royal Belgian Institute of Natural Sciences 發佈此資源,並經由Belgian Biodiversity Platform同意向GBIF註冊成為資料發佈者。
關鍵字
Occurrence Bats Acoustic monitoring wav sound files; Observation
聯絡資訊
資源建立者:
可回覆此資源相關問題者:
元數據填寫者:
與此資源的相關者:
地理涵蓋範圍
Belgium, Belgian Part of the North Sea
| 界定座標範圍 | 緯度南界 經度西界 [50.168, 2.758], 緯度北界 經度東界 [51.689, 5.586] |
|---|
分類群涵蓋範圍
無相關描述
| Order | Chiroptera (Bats) |
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時間涵蓋範圍
| 彙整期間 | Since 2019-05-24 |
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計畫資料
A wide variety of animals produce acoustic signals or calls, that are in many cases species-specific. The use of these animal sounds in biological and ecological studies is widespread as they can be used to study species distribution, phenology, ecology and behaviour of organisms that are often visually elusive (e.g. marine mammals, bats). This results in extensive data sets (petabytes!) that are scattered in many different locations (e.g. scientific institutes, universities, voluntary researchers). A critical aspect of being able to learn from such large and varied acoustic data sets is providing consistent and transparent access that can enable the integration of various analysis efforts. The overall objective of the Digital Animal Sound Archive project (DASA) is therefore to set-up a robust database structure and design, and a user interface enabling us to collect and archive biological acoustic data and accompanying metadata. The DASA database will allow querying sound data based on time, location, or other desired attributes (to be identified during the end-user engagement process), to serve multiple goals like (1) a digital archive, (2) add to the collections hosted by RBINS, (3) to serve as a reference collection of species-specific sounds, (4) to offer a validated dataset for the development of automated identification software tools (e.g. for bats), and (5) a dataset for new ecological studies on the distribution and migration of species, and habitat preference. Combining individual datasets in an overarching database will lend more power to the ability to interpret patterns in the data. The need for such a bio-acoustic archive and interface has been expressed by many Belgian researchers, both professionals and volunteers from different fields of research. In most cases, their data is stored on a personal computer and might get lost through calamities or when these researchers halt their activities. We will reach out to these researchers by offering a set-up that guarantees a long-term safeguard for their data. As such, this will enhance collaboration, primarily at a national level but also with links to similar international initiatives. The general database development should be fit for purpose for all bio-acoustic data, but within this project it will be set-up for sound recordings of bats, as a proof of concept. Later, this database structure can then be used for sound recordings of other taxa (e.g. marine mammals). The project partnership consists of three partners: the Royal Belgian Institute of Natural Sciences (RBINS), a Federal Scientific Institute and Natuurpunt and Natagora, two NGOs involved in nature conservation. Aside from the project partners, a dedicated stakeholder engagement is required to assure a maximum incorporation of external views on the DASA project flow and data products. Therefore, a very close collaboration between the project consortium and the follow-up committee is foreseen throughout the project, which will provide input for every step of the development. This will hence guarantee a mutual understanding of project expectations and outcomes (i.c. database platform and user interface) that are usable and meaningful to a broad range of end users. The follow-up committee is composed of representatives of public authorities, universities, environmental NGOs, as well as consultancies. The main valorisation of the project is the development of (1) a database platform to store bio-acoustic data for the longer term and (2) a user interface to share / query / upload / download data. The target groups of these products are professional researchers as well as citizen-scientists/naturalists and consultancy agencies. By involving many different organisations in the follow-up committee, we will get a good overview of the needs and questions researchers have on storing and sharing acoustic data, from a several differing perspectives. As such, the resulting valorisation products will meet the needs of the end-users. The DASA project will result in a user-friendly tool to interactively upload, share, explore and use bio-acoustic data and survey metadata. The data will be searchable by metadata and visualised in a map viewer. This will strongly enhance many varying purposes for the data, ranging from scientific research, conservation studies, policy support and environmental impact studies.
| 計畫名稱 | Digital Animal Sound Archive |
|---|---|
| 經費來源 | BELSPO BRAIN |
| 研究區域描述 | Belgium and Belgian Part of the North Sea |
| 研究設計描述 | The main goal of DASA was to centralize the storage of existing and future bat sounds and occurrences. No data was gathered for the purpose of the project. |
參與計畫的人員:
取樣方法
The collection field states the project for which the data was gathered initially. Each project had different
| 研究範圍 | Various locations, as reported in the locality field. |
|---|---|
| 品質控管 | All data was ingested from various excel files, based on a single metadata template. A single ingestion contained occurrences from different projects. A software package was built to perform the QC. This took into account: Detections: Validates latitude/longitude: both must be present or both null. Checks for duplicate detection rows (unique combination of deployment, filename, date, time). Validates detection attributes (type, value, format). Validates duration, pulses, date/time formats. Validates detection date within deployment range. Validates determination fields: if determination is present, determiner must be present. Validates software/person determination against known agents. Validates species codes/names against database. Ensures required coordinates for transect deployments. Ensures correct handling of fixed PAM deployments. Deployments: Validates deployment start/end dates. Checks for valid carrier and feature of interest. Validates effort text and deployment UUID. Ensures deployment ID uniqueness. General: Validates basic fields Checks for required values and correct formats. |
方法步驟描述:
- Creation of the excel files by bat specialist
- QC and feedback to bat specialist
- Ingestion in the database
- Extraction to DarwinCore