1,720,961 research outputs found
mikelitzow/changing-pdo-npgo: Publication release
No full textCode and data for replicating the results reported by:
Litzow, M. A., M. E. Hunsicker, N. A. Bond, B. J. Burke, C. Cunningham, J. L. Gosselin, E. L. Norton, E. J. Ward, and S. Zador. 2020. The changing physical and ecological meanings of North Pacific Ocean climate indices.
Proc Natl Acad Sci USA April 7, 2020 117 (14) 7665-7671; https://doi.org/10.1073/pnas.192126611
mikelitzow/changing-pdo-npgo: Pre-publication release
No full textCode and data for replicating the results reported by:
Litzow, M. A., M. E. Hunsicker, N. A. Bond, B. J. Burke, C. Cunningham, J. L. Gosselin, E. L. Norton, E. J. Ward, and S. Zador. 2020. The changing physical and ecological meanings of North Pacific Ocean climate indices. in press
mikelitzow/predict-R: Figure proofs
No full textM.A. Litzow, A.A. Abookire, J. T. Duffy-Anderson, B.J. Laurel, M.J. Malick, and L.A. Rogers. 2022. Predicting year class strength for climate-stressed gadid stocks in the Gulf of Alaska. Fisheries Research, in press, doi: 10.1016/j.fishres.2022.106250.
This release includes formatting corrections to figures arising from the proofing process
mikelitzow/cjfas-coastwide-salmon: Update 2
No full textAdding code to fit Ricker models to individual runs for Fig. S1
mikelitzow/CMIP6-attribution: Publication release
No full text<p><strong>Litzow MA, Malick MJ, Kristiansen T, Connors BM, Ruggerone GT. 2023. Data and code for: Climate attribution time series track the evolution of human influence on North Pacific sea surface temperature</strong> </p>
<p>This is the repository containing code and data for: Climate attribution time series track the evolution of human influence on North Pacific sea surface temperature. Environmental Research Letters, in press.</p>
<p>This release is for the state of the repository at the time of acceptance of the paper. Please note that a second repository includes data and code for the salmon time series used in the paper: https://zenodo.org/doi/10.5281/zenodo.10032646</p>
<p>If you find any errors or have any questions, please contact the lead author at [email protected].</p>
mikelitzow/CMIP6-attribution: Second revision release
No full text<p>This is the repository containing code and data for: Michael A. Litzow, Michael J. Malick, Trond Kristiansen, Brendan M. Connors, and Gregory T. Ruggerone. 2023. Climate attribution time series track the evolution of human influence on North Pacific sea surface temperature. Environmental Research Letters, in press.</p>
<p>This release is for the state of the repository at the time of submission for the second revision of the paper.</p>
<p>If you find any errors or have any questions, please contact the lead author at [email protected].</p>
mikelitzow/predict-R: Publication release
No full textThis release includes all code and data for replicating the results presented in:
M.A. Litzow, A.A. Abookire, J. T. Duffy-Anderson, B.J. Laurel, M.J. Malick, and L.A. Rogers. 2022. Predicting year class strength for climate-stressed gadid stocks in the Gulf of Alaska. Fisheries Research, in press, doi: 10.1016/j.fishres.2022.106250
mikelitzow/salmon-attribution-risk: ERL release
No full text<p>Data and code for processing salmon catches for use in:</p>
<p>Michael A. Litzow, Michael J. Malick, Trond Kristiansen, Brendan M. Connors, and Gregory T. Ruggerone. 2023. Climate attribution time series track the evolution of human influence on North Pacific sea surface temperature. Environmental Research Letters, in press.</p>
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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