Описание
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.
Записи данных
Данные этого occurrence ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 3 681 записей.
Также в наличии 1 таблиц с данными расширений. Записи расширений содержат дополнительную информацию об основной записи. Число записей в каждой таблице данных расширения показано ниже.
Данный экземпляр IPT архивирует данные и таким образом служит хранилищем данных. Данные и метаданные ресурсов доступны для скачивания в разделе Загрузки. В таблице версий перечислены другие версии ресурса, которые были доступны публично, что позволяет отслеживать изменения, внесенные в ресурс с течением времени.
Версии
В таблице ниже указаны только опубликованные версии ресурса, которые доступны для свободного скачивания.
Как оформить ссылку
Исследователи должны дать ссылку на эту работу следующим образом:
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
Права
Исследователи должны соблюдать следующие права:
Публикующей организацией и владельцем прав на данную работу является Institut de Ciències del Mar (CSIC). Эта работа находится под лицензией Creative Commons Attribution Non Commercial (CC-BY-NC 4.0).
Регистрация в GBIF
Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: 9a51436f-3c81-4b1a-92d6-6f0c1dbb05de. Institut de Ciències del Mar (CSIC) отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке GBIF Spain.
Ключевые слова
Coastal zones; beaches; dunes; species; participatory research; open science; Occurrence; Observation
Контакты
- Originator
- Platform coordinator
- Metadata Provider
- Project coordinator
- Point Of Contact
- Platform coordinator
- Content Provider
- BioPlatgesMet project coordinator and facilitator partner
- Processor
- BioPlatgesMet facilitator partner
- Curator
- Curator
- Programmer
- Technical contact
- Custodian Steward
- Researcher
Географический охват
This dataset is focused on the dune and contiguous areas of the urban beaches located in the metropolitan area of Barcelona.
| Ограничивающие координаты | Юг Запад [41,264, 1,945], Север Восток [41,468, 2,285] |
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Таксономический охват
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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Временной охват
| Дата начала | 2022-06-10 |
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Данные проекта
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.
| Название | GUARDEN project |
|---|---|
| Идентификатор | 101060693 |
| Финансирование | GUARDEN project is an HORIZON EUROPE project funded under agreement grant agreement: 101060693 |
Исполнители проекта:
- Author
Методы сбора
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.
| Охват исследования | 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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| Контроль качества | 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. |
Описание этапа методики:
- 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.
Дополнительные метаданные
| Альтернативные идентификаторы | 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 |