說明
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 3,865 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。
此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本，以便利追蹤其隨時間的變更。
版本
以下的表格只顯示可公開存取資源的已發布版本。
如何引用
研究者應依照以下指示引用此資源。:
MINKA. EMBIMOS research group, Institut de Ciències del Mar (ICM-CSIC). Medusa a la vista citizen science project. ICM-CSIC: MINKA_Medusa_a_la_vista observatorio de ciencia ciudadana. Version 1.0. Occurrence dataset.
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 Institut de Ciències del Mar (CSIC)。 This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.
GBIF 註冊
此資源已向GBIF註冊，並指定以下之GBIF UUID: 247fd45a-0dd7-415d-9f47-699090f39cf5。 Institut de Ciències del Mar (CSIC) 發佈此資源，並經由GBIF Spain同意向GBIF註冊成為資料發佈者。
關鍵字
Occurrence; Observation
聯絡資訊
- 出處
- Originator
- Platform coordinator
- 元數據提供者 ●
- 連絡人
- Platform coordinator
- 託管人
- 託管人
- 典藏經理
- 程式設計師
- 研究主持人
地理涵蓋範圍
Coastline of Catalonia
| 界定座標範圍 | 緯度南界 經度西界 [40.527, 0.128], 緯度北界 經度東界 [42.436, 3.389] |
|---|
分類群涵蓋範圍
Biodiversity of jellyfish and other pelagic organisms on the coast of Catalonia.
| Class | Scyphozoa |
|---|---|
| Order | Siphonophorae |
| Family | Aeginidae, Aequoreidae, Rhopalonematidae, Pandeidae, Blackfordiidae, Carybdeidae, Corymorphidae, Cuninidae, Mitrocomidae, Eirenidae, Geryoniidae, Bougainvilliidae, Laodiceidae, Olindiasidae, Oceaniidae, Moerisiidae, Porpitidae |
時間涵蓋範圍
| 起始日期 / 結束日期 | 2008-04-05 / 2025-05-10 |
|---|
計畫資料
The AMRIT project brings together 26 leading European institutions with a shared mission: to strengthen European Marine Research Infrastructures (MRIs) and enhance ocean observation capabilities. With over €5 million in funding from the EU, AMRIT is spearheading the harmonisation, standardisation, and advancement of ocean observing activities to support the development of the European Ocean Observing System (EOOS). At the heart of AMRIT’s efforts is the development of the EOOS Technical Support Centre (EOOS TSC), a comprehensive digital ecosystem designed to streamline operations at sea and improve data collection and monitoring. A critical component of AMRIT is modernising the flow of ocean observation data. Work Package 8 focuses on building APIs to automate metadata transfer from in situ instruments to the EOOS TSC dashboard. This work will expand existing data pipelines in European MRIs, extend coverage to previously unsupervised coastal nodes, and ensure standardisation across platforms. This harmonisation will foster collaboration between networks, enhance operational efficiency, and improve data accessibility. AMRIT will also address Essential Ocean Variables (EOVs) readiness through WP13-15. By examining the pathways from in situ observations to EOVs, the project will identify gaps in blended EOVs (data derived from multiple platforms) and develop best practices to enhance their usability. These improvements will bolster EOOS’s capacity to deliver actionable insights for ocean observation and research.
| 計畫名稱 | AMRIT Project |
|---|---|
| 辨識碼 | 101132013 |
| 經費來源 | AMRIT is funded by the European Union’s Horizon Europe INFRA 2023-DEV-01 Programme under Grant Agreement No. 101132013 |
參與計畫的人員:
- 作者
取樣方法
Sampling Methodology: The Medusa a la Vista project employs a participatory, unstructured sampling approach, leveraging the power of citizen science to gather data. This method involves the opportunistic collection of observations by volunteers across the coast of Catalonia. Sampling Description: Volunteers participating in the project contribute data through direct observations of jellyfish and other pelagic organisms on the coast of Catalonia. These contributions are critical for creating a comprehensive dataset that reflects the biodiversity and ecological conditions of the area. Data Validation Process: To ensure the reliability and accuracy of the dataset, each observation submitted by volunteers undergoes a rigorous quality control procedure. This validation process is designed to verify the correctness and relevance of the data collected, adhering to established standards for scientific data quality. Further details on the specific criteria and steps involved in the quality control procedure are described in the corresponding field.
| 研究範圍 | Sampling Area: the coast of Catalonia. |
|---|---|
| 品質控管 | Observations submitted to MINKA can qualify for Research Grade status if they are accompanied by a photo, the date of observation, and geographical coordinates. This status is conferred when a consensus on the species identification is reached within the MINKA community. When there's a division in opinion regarding the species observed, MINKA selects a consensus taxon from the suggestions, provided it garners agreement from over two-thirds of participating members. The methodology for determining the consensus taxon involves evaluating each suggested species and any broader categories it falls under. This evaluation calculates a score based on the proportion of identifications for that species against the total of all identifications, inclusive of later, more reserved identifications and those for unrelated species. The species with a score exceeding the two-thirds threshold, and with a minimum of two identifications, is deemed the community’s chosen taxon. In the case of observations at the gender level, those that are determined as "cannot be improved", and have two-thirds parts of the community in favor of the gender, will acquire Research Grade. Research Grade status may be withdrawn if community feedback indicates concerns on several fronts, including the authenticity of the organism's natural setting, the precision of the provided location and date, and adherence to MINKA's ethical standards, such as compliance with its terms of service and copyright laws. It's crucial to understand that data points such as observation dates and locations are primarily sourced from the observers and the collaborative efforts of the community for taxonomic identifications, without direct verification from MINKA's custodians. Therefore, the reliability of such information is not guaranteed. Specifically, while MINKA's system defaults to the WGS84 datum for geographical coordinates, observers have the flexibility to adjust these, raising the possibility of inaccuracies due to manual entries or alternate datum usage. |
方法步驟描述:
- Data Collection: The MINKA citizen observatory platform serves as the primary tool for data collection within the Medusa A la Vista project. Participants utilize this open platform to submit their observations, adhering to the stringent data quality control measures embedded in MINKA to ensure the accuracy and reliability of the data collected. Data Collaborative Validation: The MINKA platform employs a collaborative and standardized validation procedure. Observations that meet specific criteria are granted a "research grade" status, a designation that denotes their high quality and reliability. It is these research-grade observations that are subsequently published on GBIF. Data Sharing: In addition to the collaborative validation process, the project's dataset undergoes a rigorous review against established data quality standards, focusing on taxonomy, geography, and temporal accuracy, before its publication on GBIF. This ensures that the shared data meets the high-quality expectations of the global biodiversity data community.
額外的詮釋資料
| 替代的識別碼 | 10.15470/7tuxwt |
|---|---|
| https://ipt.gbif.es/resource?r=minka_medusa_a_la_vista |