Water Chemistry Profiles of Milwaukee Estuary System Sites
| Main Authors: | Woolard, E. Alice, Wilbanks, Mitchell, Mylroie, J. Erik, Jensen, Kathleen, Feifarek, David, Poole, Shane, Randolph, Eric, Cavallin, Jenna, Villanueve, Daniel, Ankley, Gerald, Garcia-Reyero, Natalia, Perkins, Edward, Burgoon, Lyle |
|---|---|
| Format: | info dataset |
| Bahasa: | eng |
| Terbitan: |
, 2020
|
| Online Access: |
https://zenodo.org/record/3608341 |
| ctrlnum |
3608341 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Woolard, E. Alice</creator><creator>Wilbanks, Mitchell</creator><creator>Mylroie, J. Erik</creator><creator>Jensen, Kathleen</creator><creator>Feifarek, David</creator><creator>Poole, Shane</creator><creator>Randolph, Eric</creator><creator>Cavallin, Jenna</creator><creator>Villanueve, Daniel</creator><creator>Ankley, Gerald</creator><creator>Garcia-Reyero, Natalia</creator><creator>Perkins, Edward</creator><creator>Burgoon, Lyle</creator><date>2020-01-31</date><description>Contaminants of Emerging Concern (CECs) can be measured in waters across the United States, including the tributaries of the Great Lakes. The extent to which these contaminants affect gene expression in aquatic wildlife is unclear. This dataset presents the full hepatic transcriptomes of laboratory reared fathead minnows (Pimephales promelas) caged at multiple sites within the Milwaukee Estuary area of concern and control sites. Following 4 days of in situ exposure, liver tissue was removed from males at each site for RNA extraction and sequencing, yielding a total of 116 samples from which libraries were prepared, pooled, and sequenced. For each exposure site, 179 chemical analytes were also assessed. These data were created with the intention of inviting research on possible transcriptomic changes observed in aquatic species exposed to CECs. Access to both full sequencing reads of animal samples as well as water contaminant data across multiple Great Lakes sites will allow others to explore the health of these ecosystems, in support of the aims of the Great Lakes Restoration Initiative.</description><identifier>https://zenodo.org/record/3608341</identifier><identifier>10.5281/zenodo.3608341</identifier><identifier>oai:zenodo.org:3608341</identifier><language>eng</language><relation>doi:10.5281/zenodo.3608340</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><title>Water Chemistry Profiles of Milwaukee Estuary System Sites</title><type>Other:info:eu-repo/semantics/other</type><type>Other:dataset</type><recordID>3608341</recordID></dc>
|
| language |
eng |
| format |
Other:info:eu-repo/semantics/other Other Other:dataset |
| author |
Woolard, E. Alice Wilbanks, Mitchell Mylroie, J. Erik Jensen, Kathleen Feifarek, David Poole, Shane Randolph, Eric Cavallin, Jenna Villanueve, Daniel Ankley, Gerald Garcia-Reyero, Natalia Perkins, Edward Burgoon, Lyle |
| title |
Water Chemistry Profiles of Milwaukee Estuary System Sites |
| publishDate |
2020 |
| url |
https://zenodo.org/record/3608341 |
| contents |
Contaminants of Emerging Concern (CECs) can be measured in waters across the United States, including the tributaries of the Great Lakes. The extent to which these contaminants affect gene expression in aquatic wildlife is unclear. This dataset presents the full hepatic transcriptomes of laboratory reared fathead minnows (Pimephales promelas) caged at multiple sites within the Milwaukee Estuary area of concern and control sites. Following 4 days of in situ exposure, liver tissue was removed from males at each site for RNA extraction and sequencing, yielding a total of 116 samples from which libraries were prepared, pooled, and sequenced. For each exposure site, 179 chemical analytes were also assessed. These data were created with the intention of inviting research on possible transcriptomic changes observed in aquatic species exposed to CECs. Access to both full sequencing reads of animal samples as well as water contaminant data across multiple Great Lakes sites will allow others to explore the health of these ecosystems, in support of the aims of the Great Lakes Restoration Initiative. |
| id |
IOS16997.3608341 |
| institution |
DEFAULT |
| institution_type |
library:public library |
| library |
DEFAULT |
| collection |
DEFAULT |
| city |
DEFAULT |
| province |
DEFAULT |
| repoId |
IOS16997 |
| first_indexed |
2022-06-06T04:58:17Z |
| last_indexed |
2022-06-06T04:58:17Z |
| recordtype |
dc |
| merged_child_boolean |
1 |
| _version_ |
1739403443161792512 |
| score |
17.608969 |