說明
Observations from minka-sdg.org, MINKA Citizen Science Observatory is a community-based platform dedicated to biodiveristy and environmental data collection, utilising geolocalized images and observations uploaded by citizens through a mobile app and website. The dataset is produced by the BioPlatgesMet project, nested within MINKA, focuses on documenting and monitoring biodiversity in Barcelona's urban beach areas. This project highlights the dynamic dune ecosystems and engages the local community, naturalists, students, and enthusiasts in data collection. MINKA is a platform coordinated by the ICM-CSIC and the project BioPlatgesMet by AMB in Barcelona.
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 3,607 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). BioPlatgesMet citizen science project, Área metropolitana de Barcelona (AMB). ICM-CSIC: MINKA_BioPlatgestMet observatorio de ciencia ciudadana. Version 1.0. Occurrence dataset. https://ipt.gbif.es/resource?r=minka-bioplatgesmet&v=1.0
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: 9a51436f-3c81-4b1a-92d6-6f0c1dbb05de。 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
Coastal zones; beaches; dunes; species; participatory research; open science; Occurrence; Observation
聯絡資訊
- 出處
- 元數據提供者
- 連絡人
- 內容提供者
- 處理者
- 典藏經理
- 程式設計師
- 託管人
地理涵蓋範圍
This dataset is focused on the dune and contiguous areas of the urban beaches located in the metropolitan area of Barcelona.
| 界定座標範圍 | 緯度南界 經度西界 [41.264, 1.945], 緯度北界 經度東界 [41.468, 2.285] |
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分類群涵蓋範圍
This dataset is focused on the dune and contiguous areas of the urban beaches located in the Metropolitan area of Barcelona. The groups more representative in this dataset are the plants (class Magnoliopsida, Liliopsida, Gymnolaemata, etc), the birds (class Aves), the mollusks (class Bivalvia, Gastropoda, and Cephalopoda), some other invertebrats groups (class Malacostraca, Anthozoa, Polychaeta, etc) and other groups (class Actinopterygii, Mammalia, Elasmobranchii, etc).
| Class | Magnoliopsida, Liliopsida, Insecta, Bivalvia, Actinopterygii, Malacostraca, Gastropoda, Anthozoa, Cephalopoda, Gymnolaemata, Hydrozoa, Reptilia, Pinopsida, Florideophyceae, Ulvophyceae, Polychaeta, Aves, Mammalia, Echinoidea, Bangiophyceae, Elasmobranchii, Demospongiae |
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時間涵蓋範圍
| 起始日期 | 2022-06-10 |
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計畫資料
Healthy communities rely on well-functioning ecosystems. Global biodiversity preservation is a prerequisite for successful climate change mitigation and adaptation and the continued well-being of fauna, flora, and all life. However, this is not easy. The EU-funded GUARDEN project will introduce a user oriented decision support application. It will create multistakeholder partnerships and collect data that can help organisations, stakeholders, and policymakers make informed decisions. To increase the amount of geo-localised biodiversity data and build a new generation of predictive models of biodiversity and ecosystem status indicators, GUARDEN will make use of deep learning, earth observation, and hybrid modeling. One of the case studies within the GUARDEN project, aimed at testing the development of decision support technologies, is BioPlatgesMet, located in Barcelona, Spain. The associated dataset is derived from participatory inventory and monitoring activities within the BioPlatgesMet case study, focusing on the environmental assessment of the areas involved.
| 計畫名稱 | GUARDEN project |
|---|---|
| 辨識碼 | 101060693 |
| 經費來源 | GUARDEN project is an HORIZON EUROPE project funded under agreement grant agreement: 101060693 |
取樣方法
Sampling Methodology: The BioPlatgesMet 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 urban beaches and dunes within the metropolitan area. Sampling Description: Volunteers participating in the project contribute data through direct observations of the local environment, flora, and fauna. 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 BioPlatgesMet project specifically targets the urban beaches within the metropolitan area of Barcelona. Sampling Frequency: The project started in 2023 and is scheduled to continue through at least 2025. Sampling activities are opportunistic, and some are planned on a regular basis throughout this period, with the intention of capturing seasonal variations and long-term trends in the ecosystem. Additionally, there is a possibility of extending the project beyond 2025, depending on the findings and ongoing research needs. |
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| 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 BioPlatgesMet 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/iczv2j |
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| https://minka-sdg.org/observations?created_d2=2024-01-31&license=any&projects%5B%5D=264&quality_grade=research | |
| 9a51436f-3c81-4b1a-92d6-6f0c1dbb05de | |
| https://ipt.gbif.es/resource?r=minka-bioplatgesmet |