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.

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)