ABSTRACT
Background: We describe a dataset of sea turtle sightings around the coast of Taiwan and its islands (Hoh and Fong 2022). This data collection was initiated by TurtleSpot Taiwan, a citizen-science project that collects sea turtle sighting data. This dataset includes 3,515 sighting data dated from March 2010, except most of the data (n = 3,128; 89%) were collected between June 2017 to December 2021. Sightings were reported by citizen scientists to the Facebook Group of TurtleSpot Taiwan by providing occurrence information. We also requested photos and videos for species identification and to record any physical abnormality of the turtle, if observable. In addition to recording data often associated with an occurrence, TurtleSpot aims to identify each sea turtle up to the individual level using the Photo Identification (Photo ID) method. Hence, if photos of left facial scutes were available, the sighted individual can be identified and given a unique turtle ID. In total, 762 individuals were assigned a turtle ID, comprising 723 Greens (Cheloniamydas), 38 Hawksbills (Eretmochelysimbricata) and one Olive Ridley (Lepidochelysolivacea) turtle. This dataset is now publicly opened in Global Biodiversity Information Facility (GBIF) and available for download. It is hoped that the data may assist in future ecological studies and the development of conservation measures. New information: This dataset contains 3,515 occurrence records of sea turtles (Cheloniidae) and is currently the largest public dataset of sea turtle sighting records in Taiwan. Post-publication of this dataset to the GBIF platform demonstrated that the number of Green sea turtle Cheloniamydas records in Taiwan is one of the largest in the world (last accessed date: 15-10-2022). The data served as the foundation for understanding biogeography and sea turtle ecology in Taiwan's coastal waters.
ABSTRACT
OBJECTIVE: To assess social disparities in breast cancer diagnosis and treatment by comparing the stage at diagnosis and treatment of women diagnosed with breast cancer through a National Breast and Cervical Cancer Early Detection Program (NBCCEDP) for low income and uninsured women in Massachusetts, the Women's Health Network (WHN), to other breast cancer patients in the state. METHODS: We linked data from the WHN and the Massachusetts Cancer Registry (MCR). We compared 331 WHN women and 13,372 other breast cancer patients in Massachusetts diagnosed from 1995 to 1999. We used logistic regression, controlling for age, race/ethnicity, marital status, region of residence, and stage, where appropriate. RESULTS: Compared to other breast cancer patients reported to the MCR, WHN women were just as likely to be diagnosed at an advanced stage (III or IV), treated with surgery, chemotherapy, and hormone therapy, and treated with complete mastectomy versus partial mastectomy. WHN women were less likely to receive radiation therapy (odds ratio = 0.7; 95% confidence interval = 0.6-0.9), particularly after partial mastectomy, and had a slightly longer time from diagnosis to treatment than other breast cancer patients (p < 0.01). CONCLUSIONS: Women diagnosed with breast cancer through a NBCCEDP in Massachusetts had similar stage and treatment patterns as other breast cancer patients in the state, except for the use of radiation therapy.
