Maine Jellies - Powered by Anecdata.org

Occurrence
Latest version published by The Community Environmental Health Laboratory at MDI Biological Laboratory on Jan 1, 2023 The Community Environmental Health Laboratory at MDI Biological Laboratory

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 211 records in English (12 KB) - Update frequency: not planned
Metadata as an EML file download in English (14 KB)
Metadata as an RTF file download in English (7 KB)

Description

Project goal: Help researchers at Bigelow Laboratory build predictive models by sharing your sightings of jellyfish!

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 211 records.

1 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.

Occurrence (core)
211
Multimedia 
211

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is The Community Environmental Health Laboratory at MDI Biological Laboratory. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 5c58836a-542b-4bd3-bba2-ffe71dba9bc2.  The Community Environmental Health Laboratory at MDI Biological Laboratory publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF-US.

Keywords

Occurrence

Contacts

Nicholas Record
Anecdata.org Contributors
  • Originator
Data Contributors
Anecdata.org
Jane Disney
  • Originator
  • Point Of Contact
Associate Professor of Environmental Health
MDI Biological Laboratory
159 Old Bar Harbor Rd.
04609 Bar Harbor
ME
US
Cait Bailey
  • Originator
  • Point Of Contact
Systems Developer
MDI Biological Laboratory
159 Old Bar Harbor Rd.
04609 Bar Harbor
ME
US
Ashley Taylor
  • Originator
  • Point Of Contact
Community Manager
MDI Biological Laboratory
159 Old Bar Harbor Rd.
04609 Bar Harbor
ME
US
Alexis Garretson
  • Metadata Provider
  • Originator
  • User
  • Point Of Contact
Community Environmental Health Laboratory Manager
MDI Biological Laboratory
159 Old Bar Harbor Rd.
04609 Bar Harbor
ME
US
Anecdata.org
  • Point Of Contact
Anecdata.org
Community Environmental Health Laboratory
  • Point Of Contact
Community Environmental Health Laboratory
MDI Biological Laboratory
159 Old Bar Harbor Rd.
04609 Bar Harbor
ME
US

Geographic Coverage

The Gulf of Maine, Canada and the United States

Bounding Coordinates South West [43.097, -70.73], North East [49.063, -58.377]

Temporal Coverage

Start Date / End Date 2014-06-03 / 2020-06-23

Project Data

Anecdata is a free online citizen science platform developed by the Community Lab at the MDI Biological Laboratory in Bar Harbor, Maine. Anecdata is used by hundreds of individuals and organizations to gather and access citizen science observations and provides a platform to easily collect, manage, and share their citizen science data. How Anecdata works: Project managers create projects, creating datasheets that participants fill out to share their observations. Participants join projects and use the Anecdata website or mobile app to share their observations with the project. Project data is now available for anyone to view and download!

Title Anecdata.org
Identifier Anecdata.org

The personnel involved in the project:

Cait Bailey
  • Principal Investigator
Ashley Taylor
  • Curator

Sampling Methods

Help researchers at Bigelow Laboratory build predictive models by sharing your sightings of jellyfish!

Study Extent Help researchers at Bigelow Laboratory build predictive models by sharing your sightings of jellyfish!

Method step description:

  1. Participants enter the count, date of sighting, species, location, and size of jellyfish observed in the Gulf of Maine region.

Additional Metadata

Alternative Identifiers 5c58836a-542b-4bd3-bba2-ffe71dba9bc2
https://doi.org/10.15468/b4ye2c
https://bison.usgs.gov/ipt/resource?r=maine-jellies