Descripción
[ Data paper under review - Preprint https://preprints.arphahub.com/article/90210/ ] We describe a dataset of sea turtle sightings around the coast of Taiwan and its islands. The data was collected by citizen scientists and reported to TurtleSpot Taiwan, a citizen science initiative that collects sea turtle sighting data mainly through the Facebook group (https://www.facebook.com/groups/turtlespotintw). This dataset includes 3,515 sighting data dated from March 2010, except most of the data (n=3,128; 89%) falls were between June 2017 to December 2021. A standardized format of basic sighting information was suggested to anyone who wishes to report the occurrence. We also request photos and videos for turtle species identification and to record any physical abnormality. In addition to the basic data often associated with an occurrence, TurtleSpot aims to identify each sea turtle up to the individual level using the Photo ID method. Hence, if a good quality photo of left- and right-facial scutes were available, the sighted individual can be identified and given a unique Turtle ID. In total, 762 turtle individuals were assigned a turtle ID, comprising 723 green, 38 hawksbill, and 1 olive ridley turtles. The data of TurtleSpot Taiwan has allowed some ecological observations of sea turtles in the wild, such as witnessing the recovery of some injured turtles, behaviours, intra- and inter-species interactions, and physical abnormality. These data will offer essential information that helps to understand the foraging ecology of sea turtles and assists in the development of conservation measures. The purpose for preparing the current dataset was for a few reasons: (1) a give back to our community since most of these data were their contributions, (2) for an ongoing research on sea turtle foraging ecology in Taiwan (Fong et al., in prep), and (3) publicly open the data for advancement especially in the scientific and conservation communities.
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 3.515 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?
Por favor, tenga en cuenta que ésta es una versión antigua del conjunto de datos. Los usuarios deben citar este trabajo de la siguiente manera:
Hoh D, Fong C (2022): Sea turtle sightings in Taiwan | 台灣海龜目擊紀錄. v1.8. TurtleSpot Taiwan 海龜點點名. Dataset/Occurrence. https://ipt.taibif.tw/resource?r=turtlespot&v=1.8
Derechos
Los usuarios deben respetar los siguientes derechos de uso:
El publicador y propietario de los derechos de este trabajo es TurtleSpot Taiwan 海龜點點名. Este trabajo está autorizado bajo una Licencia Creative Commons Atribución/Reconocimiento 4.0 Internacional (CC-BY) 4.0.
Registro GBIF
Este recurso ha sido registrado en GBIF con el siguiente UUID: 336b6790-062f-407f-a783-2f1d8874e6c3. TurtleSpot Taiwan 海龜點點名 publica este recurso y está registrado en GBIF como un publicador de datos avalado por Taiwan Biodiversity Information Facility.
Palabras clave
Occurrence; Observation; Sighting data; Citizen science; Facebook group; Sea turtle; Coastal waters; Occurrence; Observation
Contactos
- Proveedor De Los Metadatos ●
- Originador ●
- Punto De Contacto
http://orcid.org/0000-0002-7810-1034
Cobertura geográfica
Most of the sighting data were from Taiwan, and only a few (n=35) of them were from other countries which include Indonesia, Philippines, Malaysia, Palau, Mariana Islands, Japan, Maldives, and United States.
| Coordenadas límite | Latitud Mínima Longitud Mínima [-90, -180], Latitud Máxima Longitud Máxima [90, 180] |
|---|
Cobertura taxonómica
Four species of sea turtles were recorded in the dataset, including green turtle (Chelonia mydas), hawksbill (Eretmochelys imbricata), olive ridley (Lepidochelys olivacea), and kemp's ridley (Lepidochelys kempii). 97.3% and 2.4% of the sightings from Taiwan are from the green and hawksbill turtles, respectively. Occurrences that failed to assign species (n=11) were recorded as Cheloniidae.
| Familia | Cheloniidae (Sea turtle) |
|---|---|
| Especie | Chelonia mydas (Green sea turtle), Eretmochelys imbricata (Hawksbill turtle), Lepidochelys olivacea (Olive ridley turtle), Lepidochelys kempii (Kemp's ridley) |
Cobertura temporal
| Fecha Inicial / Fecha Final | 2010-03-23 / 2021-12-29 |
|---|
Datos del proyecto
TurtleSpot Taiwan (https://turtlespottw.org/) is a community led-citizen science initiative that collects sea turtle sighting reports. It is co-founded by a group of sea turtle lovers made up of scientists, underwater photographers, and marine awareness educators in June 2017. Currently, we receive sighting reports via our Facebook group (https://www.facebook.com/groups/turtlespotintw) and our community and sighting reports are actively growing. Up to July 2022, our community is made up of at least 18,900 members and we received at least 3,500 sighting reports. We are currently developing a Photo ID database of sea turtles in Taiwan. Through the Photo ID method, we identified sea turtle individuals through their unique facial-scutes pattern and occasionally distinct characteristics of their physical appearances such as caparace or limb injury. To encourage continuous reports of the citizen scientists, we allow the sighting reporter to name the turtle if the individual is a new record in our database. The data of TurtleSpot Taiwan has allowed some ecological observations of sea turtles in the wild, such as witnessing the recovery of some injured turtles, behaviours, intra- and inter-species associations, and physical abnormality. These data will offer essential information that helps to understand the foraging ecology of sea turtles and assists in the development of conservation measures.
| Título | TurtleSpot Taiwan |
|---|---|
| Identificador | https://github.com/daphnehoh/TurtleSpot |
Personas asociadas al proyecto:
- Curador
- Curador
- Curador
Métodos de muestreo
More than half (n=2,235; 63.6%) of the data was provided by citizen scientists. The remaining data (n=1,280) was personal records contributed by two of the co-authors.
| Área de Estudio | We collect reports of all sea turtle sightings from any region, but our current focus is on the sighting data around the coasts of Taiwan and its islands. |
|---|---|
| Control de Calidad | Each sighting reported in TurtleSpot's Facebook group was first checked by the group admin for the required information pending approval. The required information includes sighting date, time, location (and dive site), depth, method, and for species and individual identification - high-quality photos and videos containing the whole body, left, and right faces of the sighted turtle. The sighting provider will be requested to provide any of the missing information unless unavailable. |
Descripción de la metodología paso a paso:
- Receive data: We receive sea turtle sighting reports contributed by citizen scientists via our Facebook group (https://www.facebook.com/groups/turtlespotintw).
- Approve report: Facebook post of a sighting report which followed our reporting format and passed the quality check by the group admin was approved to be visible in the Facebook group, allowing community interaction within the post.
- Record data: Sighting information contained in the report was recorded in Google Sheets as raw data. These raw data (mostly in Chinese) were translated into English.
- Determine additional information from the sighting report: We identified and recorded the additional information about the sighted individual turtle based on the photos and videos provided in each sighting report and additional notes provided by the citizen scientists. This information was mostly identified through observation on-site and through photos and videos. We observed the biological characteristics of the occurrence (sex, life stage, behaviour, associated taxa) and abnormal conditions of the turtle (e.g. fishing line entanglement, tumour and others).
- Sea turtle individual identification: If high-quality photos of the left and right faces of the sighted sea turtle were available, we use the Photo ID method to identify the turtle individual. Currently, we use two methods to perform photo identification: (1) compare the facial scute pattern manually, and (2) HotSpotter (Crall et al. 2013), an open-source software. Each sea turtle individual was assigned a unique turtle ID.
- Open data preparation: We first converted the data into Darwin Core Archive formatted occurrence data in Google Sheet using the Darwin Core Archive Assitant Add-on (Salim and Saraiva 2020) where applicable. A total of 46 Darwin Core terms were used. We then validated the occurrence data using the GBIF Data Validator (Global Biodiversity Information Facility 2017) and edited the error. Lastly, we uploaded and published the data via Taiwan Biodiversity Information Facility IPT.
Referencias bibliográficas
- Crall JP, Stewart CV, Berger-Wolf TY, Rubenstein DI, Sundaresan SR (2013) Hotspotter—patterned species instance recognition. 2013 IEEE workshop on applications of computer vision (WACV). IEEE. https://doi.org/10.1109/WACV.2013.6475023
- Salim JA, Saraiva AM (2020) A Google Sheet Add-on for Biodiversity Data Standardization and Sharing. Biodiversity Information Science and Standards. 4:e59228. https://doi.org/10.3897/biss.4.59228
Metadatos adicionales
| Identificadores alternativos | 336b6790-062f-407f-a783-2f1d8874e6c3 |
|---|---|
| https://ipt.taibif.tw/resource?r=turtlespot |