FishNet Georeferencing Project
Collaborative Georeferencing Project: Repatriation Phase

At the onset this project, 1.3 million specimen lots were identified for georeferencing and harvested from network data providers. Georeferencing was primarily accomplished using the GEOLocate Collaborative Georeferencing (CoGe) framework. Each record was automatically georeferenced with GEOLocate, then evaluated by project technicians and either corrected or skipped to produce a final result. Skipped records represent those records lacking sufficient information for adequate georeferencing by a technician. Technicians were asked to provide comments on each skipped record, explaining why the record was skipped. Each corrected record minimally contains a corrected latitude/longitude and a radius of uncertainty in meters. Additionally, technicians were encouraged to specify polygons (for example along the courses of rivers) to further refine the level of uncertainty anytime the uncertainty radius significantly overestimated uncertainty.

Critical to the success of the project is repatriating the georeferences and uncertainties – presently stored in the CoGe portal - to databases of all participating Fishnet2 data providers. This is the only way that the results can be propagated to Fishnet2 and other data harvesters. Both skipped and corrected results are provided below in a variety of formats. All geographic coordinates are reported in WGS 84 decimal degrees. Polygons are described using the Well Known Text (WKT) format. Each record contains the name of the technician who produced the record and the date and time the record was produced. Results are provided in the form of specimen "lot" records. Catalog numbers are provided to match against institutional databases. We are happy to work with institutions to provide alternative means for matching records with their existing database systems (e.g., associating internal "collecting event" identifiers to records). We also expect that polygons may present challenges for many institutions and will advise any institution requesting help.

With the completion of this final data repatriation step, users of Fishnet2, as well as users of data from participating institutional databases, will have access to the more than 1.1 million additional species-lot occurrences produced in the Fishnet2 Collaborative Georeferencing Project. Your cooperation is greatly appreciated.

The following table summarizes avialable fields by record type (corrected or skipped):
Field Name Corrected Skipped Description of Field
verifiedBy present present The collaborative georeferencing username of the technician who verified the record.
dateTimeVerified present present Date and time verification was completed as recorded by the collaborative georeferencing server using central standard time. If you decide to retain this field and need help converting to UTC or another time format compatible with your database system, please let us know.
verificationRemarks present present Remarks provided by the technician.
longitude present absent Longitude assigned by technician.
latitude present absent Latitude assigned by technician.
uncertaintyRadius present absent Uncertainty radius in meters assigned by technician.
uncertaintyPolygon present absent Uncertainty polygon assigned by technician.
institutionCode present present Institution code provided to FishNet at project inception.
collectionCode present present Collection code provided to FishNet at project inception.
catalogNumber present present Catalog number provided to FishNet at project inception.
scientificName present present Scientific name provided to FishNet at project inception.
country present present Modified form of the country field provided to FishNet at project inception, for the purpose of improved georeferncing.
stateProvince present present Modified form of the state/province field provided to FishNet at project inception, for the purpose of improved georeferncing.
locality present present Modified from the locality field provided to FishNet at project inception, for the purpose of improved georeferncing.
We expect most institutions to be able to utilize the catalog number field to match up results with existing systems. We are also happy work with any institution to provide alternative means for matching up records with their existing database systems, for example associating internal "collecting event" identifiers to records. We also expect consuming polygons may present new challenges for many institutions and will advise any institution requesting help.

Results

The following datasets are available for download (zip compressed). All CSV files are UTF-8 encoded. If you have any questions, problems or discover errors in the data, please contact Justin Mann (jmann@tulane.edu).

Institution Total Records Evaluated % Corrected Overview Downloads
Academy of Natural Sciences Philadelphia 126,921 94% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Akita Prefectural Museum 300 100% CSV:Corrections
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Austin Peay State University 1,798 98% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Australian Museum 2,370 74% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Bernice Pauahi Bishop Museum 416 91% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
California Academy of Sciences 100,243 91% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Canadian Museum of Nature 30 70% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Cornell University Museum of Vertebrates 72,525 93% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
CSIRO Marine Research 16,898 97% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Field Museum 57,733 89% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Fisheries Research Laboratory Mie University 14,284 97% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Florida Museum of Natural History 68,189 96% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Florida Fish and Wildlife Research Institute 3,483 89% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Gunma Museum of Natural History 17 88% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Hokkaido University 50,564 75% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Illinois Natural History Survey 74,846 97% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Kagoshima University Museum 18,924 98% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Louisiana State University Museum of Zoology 13,406 95% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Michigan State University Museum 6,082 89% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Mississippi Museum of Natural Science 33,993 88% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Museum of Comparative Zoology 33,628 77% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Museum of Nature and Human Activities, Hyogo 76 76% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Museum of Southwestern Biology 10,275 90% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Museum of Southwestern Biology DGR 1,982 74% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Museum of Vertebrate Zoology, UC Berkeley 11 91% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Museum Victoria 5 100% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
National Museum of Natural History, Smithsonian 167,962 90% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
National Museum of Nature and Science, Tokyo 28,782 91% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Natural History Museum and Institute, Chiba 6,621 71% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Natural History Museum of Los Angeles County 22,101 95% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
North Carolina State Museum of Natural Sciences 128 37% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Ohio State University 33,356 90% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Oregon State University 3,545 93% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Osaka Museum of Natural History 25,640 89% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Royal Ontario Museum 15,189 80% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Sam Noble Oklahoma Museum of Natural History 766 57% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Santa Barbara Museum of Natural History 256 96% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
South Australian Museum 12 83% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Southern Illinois University at Carbondale 8,002 96%% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Sternberg Museum of Natural History 9,148 61% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Swedish Museum of Natural History 8,848 76% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Texas Cooperative Wildlife Collection 5,564 88% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Texas Natural History Science Center 12,678 81% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Tokushima Prefectural Museum 337 64% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Tulane University Biodiversity Research Institute 12,295 91% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Universidad Nacional Autonoma de Mexico 86 88% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
University of Alaska Museum 964 92% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
University of Alberta Museums 2,949 85% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
University of Colorado Museum of Natural History 1,485 86% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
University of Kansas Biodiversity Institute 3,842 84% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
University of Michigan Museum of Zoology 160,810 92% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
University Museum of Zoology Cambridge 658 72% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
University of Nebraska State Museum 9,660 98% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
University of Tennessee 12,633 88% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
University of Washington 23,610 90% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Western New Mexico University 379 94% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Yale University Peabody Museum 8,825 87% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)
Yokosuka City Museum 3,111 99% CSV:Corrections Skips
MS Access DB: ACCDB
Shape File:SHP(points) SHP(polygons)

Special thanks to all the technicians for their hard work and dedication to this project.