http://lod.bco-dmo.org/id/dataset/877414
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2022-07-22
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Metadata for studies from meta-analysis investigating covariance between genetic and environmental (CovGE) effects in phenotypic results
2025-06-05
publication
2025-06-05
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2022-10-15
publication
https://doi.org/10.26008/1912/bco-dmo.877414.1
Katie Lotterhos
Northeastern University
principalInvestigator
Geoffrey C. Trussell
Northeastern University
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Albecker, M., Trussell, G. C., Lotterhos, K. (2025) Metadata for studies from meta-analysis investigating covariance between genetic and environmental (CovGE) effects in phenotypic results. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2025-06-05 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.877414.2 [access date]
Metadata from Meta-Analysis on CovGE in phenotypic results Dataset Description: Methods and Sampling: <p>We searched the Web of Science database for experimental studies that evaluated differences in phenotypic responses across different genotypes and environments. We conducted the initial search on June 24, 2019. We used the search terms, ("cogradient variation" OR "countergradient variation" OR" cogradient selection" OR "countergradient selection" OR "co-gradient variation" OR "counter-gradient variation" OR "co-gradient selection" OR "counter-gradient selection") OR ("GxE" OR "genotype by environment" or "gene by environment") OR ("nonadaptive plast*" OR "non-adaptive plast*" OR "maladaptive plast*" OR "adaptive plast*") OR ("phenotypic plast*" AND "adapt*") AND ("common garden" OR "reciprocal transplant"). Initial searches returned approximately 5,900 hits. Results were further refined by including only those articles within Web of Science categories that related to ecology, evolution, or any ecological or evolutionary subdiscipline (e.g., papers categorized as engineering or biomedical were excluded). Refining reduced the search results to 4,458 studies. We also added studies that were included in previously published meta-analyses by Murren et al. (2015) and Hereford (2009) for screening.</p>
<p>&nbsp;</p>
<p>After compiling studies, we measured CovGE and GxE magnitude on phenotypic data. More methods can be found in the manuscript published in Ecology Letters in 2022.</p>
<p>&nbsp;</p>
<p>See Related Dataset Albecker et al. (2022) for model code.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1764316 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1764316
completed
Katie Lotterhos
Northeastern University
781-581-7370 X304
Northeastern University Marine Sciences Center 430 Nahant Rd.
Nahant
MA
01908
USA
k.lotterhos@northeastern.edu
pointOfContact
Geoffrey C. Trussell
Northeastern University
781-581-7370 (ext. 300)
Marine Science Center 430 Nahant Road
Nahant
MA
01908
USA
g.trussell@northeastern.edu
pointOfContact
asNeeded
Dataset Version: 2
Unknown
STUDY_ID
First_Author
Data_file_name
G_match_E
natural_env_type
GxE_sig
phylum_division
genus
species
gen_number
gen_number_knownenvs
phenotype
phenotype_unit
life_stage
exp_env_type
experimental_comparison
Experimental_environment
experimental_env_unit
natural_env
natural_env_unit
Study_ID_phenotype
Raw_data_available
Proportion
Mention_CGV
Data_source
figure_Number
table_Number
Comments
Checked
theme
None, User defined
experiment id
author name (publication)
file_name
brief description
phylum
genus
species scientific name (binomial)
number
No BCO-DMO term
stage
experiment type
comments
reference_paper
featureType
BCO-DMO Standard Parameters
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
RCN: Evolution in Changing Seas
https://rcn-ecs.github.io/
RCN: Evolution in Changing Seas
<p><em>NSF abstract:</em><br />
How marine species will react to changing environment and climate is not well understood. While the interaction between oceanographic and ecological processes has yielded considerable insight into the ecology of marine species, the evolutionary responses of marine species are not well integrated into this framework. This project research coordinated network on "Evolution in Changing Seas" (ECSRCN), will bring marine scientists together with evolutionary biologists having expertise in population genetics, eco-evolutionary dynamics, and phylogenetics to better understand and predict the evolutionary responses of marine species to climate stressors. ECS-RCN will increase the impact of evolutionary studies in marine systems through increased collaboration among scientists from diverse fields. Furthermore, the empirical robustness of these studies will also be improved through the development of standards for experimental design and statistical analysis, especially for genomics data analysis. ECS-RCN will build a diverse network through a dedicated workshop for early-career participants, by advertising with diversity groups, and by dedicating funds to increase diversity. This project will support one postdoctoral researcher who will play a key role in coordinating scientific activities of the network as well as receive interdisciplinary training through network activities, strongly positioning them to become a leader in the field. ECS-RCN will also build the foundation for a lasting network through establishment of a listserv, open access to publications, development of a website, and development of teaching modules for undergraduate and graduate curriculum.</p>
<p>Specifically, ECS-RCN will consider how coupling between oceanographic and evolutionary processes shape adaptive and plastic responses to climate change, from the fundamental level of genomes scaled up to entire populations. Under this theme, the objectives of ECS-RCN are to synthesize the current state of knowledge, to prioritize lines of inquiry that will advance knowledge in marine and evolutionary biology, to determine the appropriate experimental designs and statistical approaches for robustly testing these lines of inquiry (including genomics approaches), and to build a foundation for a diverse and lasting network. These goals will be realized over the course of 3 years, starting with a Synthesis Workshop in Year 1 where working groups will be established, followed by working group meetings and formation of a Genomics Subcommittee in Year 2, and ending with an Integration and Training Workshop aimed at early career scientists in Year 3. To promote synthesis and self-organization at workshops, the workshops will employ the Open Space format. ECS-RCN will promote evolutionary thinking in biological oceanography and integrate unique aspects of marine life-histories into evolutionary principles. ECS-RCN will also advance knowledge in both marine and evolutionary biology through synthesis and the development of frameworks for merging genomics and ecology. The activities will provide novel insights into pressing questions in both marine and evolutionary ecology, such as: what drives geographic patterns of local (mal)adaptation and plasticity?; what are the mechanisms that generate adaptive vs. nonadaptive plasticity?; what is the role of genotype dependent dispersal in adaptation?; what are the genetic constraints on adaptation of function-valued traits to climate change?; and how do epigenetic modifications act as a mediator between adaptation and plasticity? Ultimately, the RCN aims to develop a quantitative understanding of the relative importance of ecological versus evolutionary responses to climate change.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
RCN ECS
largerWorkCitation
project
eng; USA
oceans
2025-06-05
United States
0
BCO-DMO catalogue of parameters from Metadata for studies from meta-analysis investigating covariance between genetic and environmental (CovGE) effects in phenotypic results
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/877482.rdf
Name: STUDY_ID
Units: unitless
Description: <p>numerical identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/877483.rdf
Name: First_Author
Units: unitless
Description: <p>name of first author</p>
http://lod.bco-dmo.org/id/dataset-parameter/877484.rdf
Name: Data_file_name
Units: unitless
Description: <p>identifier - study ID with first author</p>
http://lod.bco-dmo.org/id/dataset-parameter/877485.rdf
Name: G_match_E
Units: unitless
Description: <p>denotes whether genetic information matches native environment in paper blank</p>
http://lod.bco-dmo.org/id/dataset-parameter/877486.rdf
Name: natural_env_type
Units: unitless
Description: <p>whether environmental data is continuous or categorical</p>
http://lod.bco-dmo.org/id/dataset-parameter/877487.rdf
Name: GxE_sig
Units: unitless
Description: <p>true if paper reports significant GxE in phenotype</p>
http://lod.bco-dmo.org/id/dataset-parameter/877488.rdf
Name: phylum_division
Units: unitless
Description: <p>phylum of study organism</p>
http://lod.bco-dmo.org/id/dataset-parameter/877489.rdf
Name: genus
Units: unitless
Description: <p>genus of study organism</p>
http://lod.bco-dmo.org/id/dataset-parameter/877490.rdf
Name: species
Units: unitless
Description: <p>species of study organism</p>
http://lod.bco-dmo.org/id/dataset-parameter/877491.rdf
Name: gen_number
Units: unitless
Description: <p>number of populations included in study</p>
http://lod.bco-dmo.org/id/dataset-parameter/877492.rdf
Name: gen_number_knownenvs
Units: unitless
Description: <p>number of native environments able to be matched to populations</p>
http://lod.bco-dmo.org/id/dataset-parameter/877493.rdf
Name: phenotype
Units: unitless
Description: <p>the phenotype measured in the study</p>
http://lod.bco-dmo.org/id/dataset-parameter/877494.rdf
Name: phenotype_unit
Units: unitless
Description: <p>the units defining phenotype measurement</p>
http://lod.bco-dmo.org/id/dataset-parameter/877495.rdf
Name: life_stage
Units: unitless
Description: <p>life stage investigated</p>
http://lod.bco-dmo.org/id/dataset-parameter/877496.rdf
Name: exp_env_type
Units: unitless
Description: <p>whether experimental treatments were categorical or continuous</p>
http://lod.bco-dmo.org/id/dataset-parameter/877497.rdf
Name: experimental_comparison
Units: unitless
Description: <p>the comparison of environments in the experiment</p>
http://lod.bco-dmo.org/id/dataset-parameter/877498.rdf
Name: Experimental_environment
Units: unitless
Description: <p>the environmental conditions tested</p>
http://lod.bco-dmo.org/id/dataset-parameter/877499.rdf
Name: experimental_env_unit
Units: unitless
Description: <p>the units of the experimental treatments</p>
http://lod.bco-dmo.org/id/dataset-parameter/877500.rdf
Name: natural_env
Units: unitless
Description: <p>the native environment</p>
http://lod.bco-dmo.org/id/dataset-parameter/877501.rdf
Name: natural_env_unit
Units: unitless
Description: <p>the units used to measure native environment</p>
http://lod.bco-dmo.org/id/dataset-parameter/877502.rdf
Name: Study_ID_phenotype
Units: unitless
Description: <p>identifier used to link results</p>
http://lod.bco-dmo.org/id/dataset-parameter/877503.rdf
Name: Raw_data_available
Units: unitless
Description: <p>whether raw data is accessible</p>
http://lod.bco-dmo.org/id/dataset-parameter/877504.rdf
Name: Proportion
Units: unitless
Description: <p>is data proportion? (yes/no)</p>
http://lod.bco-dmo.org/id/dataset-parameter/877505.rdf
Name: Mention_CGV
Units: unitless
Description: <p>does the study mention CovGE? (yes/no)</p>
http://lod.bco-dmo.org/id/dataset-parameter/877506.rdf
Name: Data_source
Units: unitless
Description: <p>where did data originate from paper</p>
http://lod.bco-dmo.org/id/dataset-parameter/877507.rdf
Name: figure_Number
Units: unitless
Description: <p>figure from which data was collected</p>
http://lod.bco-dmo.org/id/dataset-parameter/877508.rdf
Name: table_Number
Units: unitless
Description: <p>table from which data was collected</p>
http://lod.bco-dmo.org/id/dataset-parameter/877898.rdf
Name: Comments
Units: unitless
Description: <p>notes, if necessary</p>
http://lod.bco-dmo.org/id/dataset-parameter/877509.rdf
Name: Checked
Units: unitless
Description: <p>noting whether the study was double checked</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
210094
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/241138d9-931b-48cd-97dc-9787e4b3cf80/content
download
150894
https://darchive.mblwhoilibrary.org/bitstream/1912/29429/1/dataset-877414_metadata-meta-analysis-covge-phenotypic-results__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.877414.1
download
onLine
dataset
<p>We searched the Web of Science database for experimental studies that evaluated differences in phenotypic responses across different genotypes and environments. We conducted the initial search on June 24, 2019. We used the search terms, ("cogradient variation" OR "countergradient variation" OR" cogradient selection" OR "countergradient selection" OR "co-gradient variation" OR "counter-gradient variation" OR "co-gradient selection" OR "counter-gradient selection") OR ("GxE" OR "genotype by environment" or "gene by environment") OR ("nonadaptive plast*" OR "non-adaptive plast*" OR "maladaptive plast*" OR "adaptive plast*") OR ("phenotypic plast*" AND "adapt*") AND ("common garden" OR "reciprocal transplant"). Initial searches returned approximately 5,900 hits. Results were further refined by including only those articles within Web of Science categories that related to ecology, evolution, or any ecological or evolutionary subdiscipline (e.g., papers categorized as engineering or biomedical were excluded). Refining reduced the search results to 4,458 studies. We also added studies that were included in previously published meta-analyses by Murren et al. (2015) and Hereford (2009) for screening.</p>
<p>&nbsp;</p>
<p>After compiling studies, we measured CovGE and GxE magnitude on phenotypic data. More methods can be found in the manuscript published in Ecology Letters in 2022.</p>
<p>&nbsp;</p>
<p>See Related Dataset Albecker et al. (2022) for model code.</p>
Specified by the Principal Investigator(s)
Version 1:
- Adjusted field/parameter names to comply with BCO-DMO naming conventions
- Missing data identifier ‘NA’ replaced with 'nd' (BCO-DMO's default missing data identifier)
- Added a conventional header with dataset name, PI names, version date
- Replaced commas with semi-colons in column "table_Number"
Version 2:
- Adjusted field/parameter names to comply with BCO-DMO naming conventions
- Missing data identifier ‘NA’ replaced with 'nd' (BCO-DMO's default missing data identifier)
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact