Jellyfish in Hong Kong: a citizen science dataset

Registros biológicos
Última versión publicado por GigaScience Press el may 7, 2024 GigaScience Press
Fecha de publicación:
7 de mayo de 2024
Publicado por:
GigaScience Press
Licencia:
CC0 1.0

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Descripción

The citizen science initiative Hong Kong Jellyfish Project was started in early 2021 to enhance understanding of jellyfish in Hong Kong. Here we describe a dataset of jellyfish sightings collected by citizen scientists from 2021 through 2023 within local waters. Citizen scientists submitted photographs and simple data (time, date, location) through a website, iNaturalist project, and social media. Sightings were validated using references from the literature. A total of 1,020 usable observations are contained within this dataset, showing the occurrence and distribution of jellyfish in Hong Kong in 2021-2023. This dataset is now publicly available and discoverable in the Global Biodiversity Information Facility (GBIF) database and is available for download. This data can be used to enhance our understanding of the biodiversity of local marine ecosystems.

Registros

Los datos en este recurso de registros biológicos han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 1.020 registros.

Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.

Versiones

La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.

¿Cómo referenciar?

Los usuarios deben citar este trabajo de la siguiente manera:

Terenzini J, Fan Y, Liu M J, Falkenberg L J (2024): Jellyfish in Hong Kong: a citizen science dataset. v1.3. GigaScience Press. Dataset/Occurrence. https://ipt.taibif.tw/resource?r=hk-jellyfish&v=1.3

Derechos

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es GigaScience Press. En la medida de lo posible según la ley, el publicador ha renunciado a todos los derechos sobre estos datos y los ha dedicado al Dominio público (CC0 1.0). Los usuarios pueden copiar, modificar, distribuir y utilizar la obra, incluso con fines comerciales, sin restricciones.

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: e85c3b78-b780-4955-a50b-4adf2830a07c.  GigaScience Press publica este recurso y está registrado en GBIF como un publicador de datos avalado por Participant Node Managers Committee.

Palabras clave

Occurrence; jellyfish; Cnidaria; Hong Kong; China; scyphomedusae; hydromedusae; ctenophora; cubozoa; siphonophora

Contactos

John Terenzini
  • Originador
  • Punto De Contacto
Founder
Hong Kong Jellyfish Project
Hong Kong
CN
Yannan Fan
  • Originador
Curator
Gigascience Press, BGI Center
BGI Center, Meisha Street, Yantian district
518000 Shenzhen
Guangdong
CN
Melissa Jean-Yi Liu
  • Proveedor De Los Metadatos
  • Originador
Content Manager
Taiwan Biodiversity Information Facility, TaiBIF
C301, No. 28, Ln 70, Sec 2 Academia Rd.
11574 Taipei City
Nangang Dist.
TW
Laura J Falkenberg
  • Originador
Academic Advisor
UniSA STEM, University of South Australia
AU

Cobertura geográfica

Waters around Hong Kong Special Administrative Region

Coordenadas límite Latitud Mínima Longitud Mínima [22,1, 113,84], Latitud Máxima Longitud Máxima [22,56, 114,44]

Cobertura taxonómica

Jellyfish as defined in Brotz et al. (2012) as "gelatinous zooplankton that include medusae of the phylum Cnidaria (scyphomedusae, hydromedusae, cubomedusae, and siphonophores) and planktonic members of the phylum Ctenophora." All observations were identified to the lowest taxonomic level possible, typically genus or species level.

Filo Cnidaria, Ctenophora

Cobertura temporal

Fecha Inicial 2021-01-03

Datos del proyecto

The Hong Kong Jellyfish Project (HKJP) is a citizen science initiative seeking more information about jellyfish presence, abundance, and distribution in Hong Kong waters. Citizen science involves members of the public contributing their time and efforts to advance scientific knowledge in collaboration with scientists. The HKJP uses a website, iNaturalist project, and social media to collect observations of local jellyfish. This data is used to fill the research gap into local jellyfish due to out-of-date records.

Título Hong Kong Jellyfish Project
Identificador https://www.hkjellyfish.com/
Fuentes de Financiación Not applicable
Descripción del área de estudio Hong Kong Special Administrative Region (SAR) is located on the southern coast of mainland China at 22.3193° N, 114.1694° E, at the northern end of the South China Sea. Its marine boundary contains 1,651 km² of water and a rich marine biodiversity despite being only 0.03% of Chinese waters. The location of Hong Kong in the South China Sea means there is overlap of tropical and temperate climate species and, due to Hong Kong’s status as a major maritime port with highly disturbed shorelines, there is also high potential for invasive marine species to be present. The biodiversity of Hong Kong is extensively studied however gaps remain in the publicly available records, particularly in terms of species records and how they are changing over time, with potential for previously unrecorded species to be found. All jellyfish observations from the HKJP were made in Hong Kong waters.
Descripción del diseño The Hong Kong Jellyfish Project (HKJP) uses citizen science methodology to investigate the presence, abundance, and distribution of jellyfish in Hong Kong. The HKJP uses a website, iNaturalist project, and social media to collect observations of jellyfish from Hong Kong waters. This project seeks to fill the research gap for local jellyfish due to out-of-date records. Observations are collected, jellyfish identified with reference to the literature, and records collated to provide a clearer picture of the presence, seasonality, and distribution of local jellyfish.

Personas asociadas al proyecto:

John Terenzini

Métodos de muestreo

Participants submit any observation of an individual jellyfish or group of jellyfish, or multiple observations of different jellyfish at their own discretion. Additionally, observations of the absence of jellyfish can be reported through the HKJP website or social media, and these can be captured in GBIF. Jellyfish are encountered opportunistically by participants as they conduct normal daily activities. Observations typically increase during high bloom times in April and May following a seasonal pattern. Sightings are also reported following project promotion through social (Facebook, Instagram) or traditional media (radio, newspaper). Periodic HKJP newsletters by email and journal posts on iNaturalist are conducted to maintain observer interest and promote project awareness. Each observation from the HKJP website includes fields describing their: (i) taxonomy to the lowest level possible (kingdom, phylum, class, order, family, genus, species); (ii) location in observer’s own words or geolocation (latitude, longitude); (iii) date of observation (dd/mm/yyyy); (iv) time of observation (24hr); (v) how many jellyfish were seen (No jellyfish seen, 1, <10, 10-100, 100-500, 500-1000, not recorded/don’t know); (vi) space between individuals (10cm, <1m, 1-5m, 5-10m, 10-20m, >20m, not recorded/don’t know); (vii) individuals per square meter (<10, 10-100, 100-500, >500, not recorded/don’t know); (viii) observation made while (fishing, sailing, diving/snorkeling/swimming, on a boat/ferry, walking along the coast, kayaking/SUP, other); (ix) photograph(s) and/or video of jellyfish. For observations that came through social media we attempted to obtain as much of the above information as possible, though greater gaps remain in this dataset. Observations from the iNaturalist project include fields describing: (i) user id; (ii) date of observation (dd/mm/yyyy); (iii) time of observation (24hr); (iv) URL of observation; (v) image URL; (vi) place guess; (vii) latitude of the observation; (viii) longitude of the observation; (ix) species guess; (x) the scientific name to the lowest level possible (kingdom, phylum, class, order, family, genus, species); (xi) the common name as determined by iNaturalist. The observations data has been compiled into the Darwin Core format with fields including: (i) occurrenceID (ii) basisOfRecord (iii) type (iv) language (v) institutionID (vi) institutionCode (vii) recordedBy (viii) eventDate (ix) eventTime (x) associatedReferences (xi) associatedMedia (xii) type (xiii) locality (xiv) decimalLatitude (xv) decimalLongitude (xvi) geodeticDatum (xvii) country (xviii) stateProvince (xix) vernacularName (xx) scientificName (xxi) acceptedNameUsageID (xxii) taxonRank (xxiii) kingdom.

Área de Estudio Hong Kong Special Administrative Region (SAR) is located on the southern coast of mainland China at 22.3193° N, 114.1694° E, at the northern end of the South China Sea. Its marine boundary contains 1,651 km² of water and a rich marine biodiversity despite being only 0.03% of Chinese waters. This study has been running since early 2021 and is a continuous year-round collection of observations of jellyfish.
Control de Calidad Observations that did not contain verifiable photographs, non-medusa taxa, or were taken from captivity were eliminated from the dataset. Usable observations were identified to the lowest taxonomic level and verified with reference to the literature; primarily, the World Atlas of Jellyfish (2019), Mayer (1910), Kramp (1961), and other sources as required. Some observations were verified by sampling and DNA analysis done at the Simon F.S. Li Laboratory at The Chinese University of Hong Kong. The dataset is made available in Darwin Core format; 1,021 terms are available for the 2021-2023 datasets. All mandatory fields are present and have undergone validation and screening using the TaiBIF IPT, before uploading and publishing via the GigaScience Press GBIF page.

Descripción de la metodología paso a paso:

  1. 1) A citizen scientist observes jellyfish (or absence of jellyfish) while swimming, kayaking, or walking the shore, for example. 2) The observer takes a photograph of the jellyfish and uploads it either through the HKJP website or the iNaturalist app on their phone. They note the date, time, location, and species, if known. Additional information like number and density of jellyfish may be optionally provided if there is a large number of them present. 3) For a submission reported through the website, it is reviewed by the HKJP principal investigator for identification verification and if necessary, reference is made to the literature. Confirmation and additional species information is then shared with the observer. If an observation is unable to be identified it is included in the dataset, but the lack of identification is clearly indicated. 4) For a submission reported through iNaturalist, artificial intelligence usually suggests an identification or a category after automatically recording location and time data within the observer’s pre-set parameters. The observer can select the suggested identification or make their own. Anyone on iNaturalist can suggest an identification and when multiple people agree, the identification is considered Research Grade. 5) For a submission reported on social media, the HKJP principal investigator will ask for as much information (time, date, location, etc.) as possible about the observed jellyfish and permission for use. 6) Observation data for all three sources is recorded into an Excel spreadsheet. Website and iNaturalist submissions can be entered in Traditional Chinese, so observations are translated to English for inclusion in the spreadsheet, the language of the HKJP’s principal investigator. 7) The various data sources are harmonized and curated together into one table, which is then converted into Darwin Core Archive standard to be uploaded to GBIF.

Metadatos adicionales

Earlier portions of this dataset supported the publication: Terenzini, J., Li, Y., & Falkenberg, L. J. (2023). Unlocking Hong Kong’s hidden jellyfish diversity with citizen science. Regional Studies in Marine Science, 62, 102896. https://doi.org/10.1016/j.rsma.2023.102896

Propósito This dataset was created to summarize jellyfish observations sent to the Hong Kong Jellyfish Project in Hong Kong between 2021-2023. This dataset supports jellyfish research in Hong Kong and provides a foundation for further research.
Descripción de mantenimiento Updates to this dataset will be made annually.
Identificadores alternativos e85c3b78-b780-4955-a50b-4adf2830a07c
https://ipt.taibif.tw/resource?r=hk-jellyfish