I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Using Benjamini and Hochberg's False Discovery Rate to corr..:
Seth H. Frisbie
;
Erika J. Mitchell
;
Azizur R. Molla
doi:10.1371/journal.pone.0295172.t002. , 2024
Link:
https://doi.org/10.1371/journal.pone.0295172.t002
RT Journal T1
Using Benjamini and Hochberg's False Discovery Rate to correct for the expected proportion of falsely rejected null hypotheses from the five comparisons of arsenic (As) in micrograms per liter (μg/L) with dissolved oxygen (DO; O 2(aq) ) in milligrams per liter (mg/L), oxidation-reduction potential (ORP) in millivolts (mV), specific conductance (SC) in microsiemens per centimeter (μS/cm), pH, and temperature (T) in Celsius (°C) [18]
UL https://suche.suub.uni-bremen.de/peid=base-ftdeakinunifig:oai:figshare.com:article_25014199&Exemplar=1&LAN=DE A1 Seth H. Frisbie A1 Erika J. Mitchell A1 Azizur R. Molla YR 2024 K1 Biotechnology K1 Evolutionary Biology K1 Ecology K1 Cancer K1 Inorganic Chemistry K1 Infectious Diseases K1 Environmental Sciences not elsewhere classified K1 Biological Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 typical monsoon season K1 sup >&# 8722 K1 dissolved oxygen decreases K1 3 × 10 K1 world health organization K1 rising sea levels K1 x </ sub K1 specific conductance increases K1 release soluble arsenite K1 drinking well water K1 dissolved oxygen concentration K1 climate change progresses K1 bangladesh &# 8217 K1 arsenic increases (< K1 000 people live K1 sea level rise K1 reduction potential decreases K1 sea levels K1 specific conductance K1 climate change K1 reduction potential K1 public health K1 xlink "> K1 underlying aquifer K1 sub xmlns K1 significant threat K1 scale survey K1 salt concentration K1 potent carcinogen K1 p </ K1 insoluble arsenate K1 bangladesh ' K1 arsenic concentration K1 approximately 97 K1 approximately 49 K1 annual floods K1 >- value K1 023 ) K1 0028 ) JF doi:10.1371/journal.pone.0295172.t002 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0295172.t002 DO https://doi.org/10.1371/journal.pone.0295172.t002 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)