cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/vcu6mu
title: Stigmatopora harastii, a new species of pipefish in facultative associations with finger sponges and red algae from New South Wales, Australia (Teleostei, Syngnathidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Short, Graham, Trevor-Jones, Andrew (2020): Stigmatopora harastii, a new species of pipefish in facultative associations with finger sponges and red algae from New South Wales, Australia (Teleostei, Syngnathidae). ZooKeys 994: 105-123, DOI: http://dx.doi.org/10.3897/zookeys.994.57160, URL: http://dx.doi.org/10.3897/zookeys.994.57160
DOI: 10.3204/pubdb-2019-05557
title: Fe(II)-3-grid_MLCT32, CCDC No: 1942292 (2019)
DOI: 10.15468/etg635
title: The bees of the family Halictidae (Hymenoptera) described by Ferdinand Morawitz from the collection of Aleksey Fedtschenko

description: This dataset contains the digitized treatments in Plazi based on the original journal article Astafurova, Yulia V., Proshchalykin, Maxim Yu. (2020): The bees of the family Halictidae (Hymenoptera) described by Ferdinand Morawitz from the collection of Aleksey Fedtschenko. ZooKeys 994: 35-104, DOI: http://dx.doi.org/10.3897/zookeys.994.58441, URL: http://dx.doi.org/10.3897/zookeys.994.58441
DOI: 10.15468/gsy4xq
title: Hidden in plain sight: a new frog species of the genus Blommersia from the oceanic island of Mayotte, Comoros archipelago

description: This dataset contains the digitized treatments in Plazi based on the original journal article Vieites, David R., Nieto-Roman, Sandra, Fernandez, Marcos Peso, Santos-Santos, Javier H. (2020): Hidden in plain sight: a new frog species of the genus Blommersia from the oceanic island of Mayotte, Comoros archipelago. ZooKeys 994: 149-166, DOI: http://dx.doi.org/10.3897/zookeys.994.57012, URL: http://dx.doi.org/10.3897/zookeys.994.57012
DOI: 10.15468/38baje
title: A new species of Pristimantis (Amphibia, Anura, Strabomantidae) from the Pui Pui Protected Forest (central Peru), with comments on Pristimantis albertus Duellman & Hedges, 2007

description: This dataset contains the digitized treatments in Plazi based on the original journal article Moravec, Jiri, Lehr, Edgar, Kodejs, Karel (2020): A new species of Pristimantis (Amphibia, Anura, Strabomantidae) from the Pui Pui Protected Forest (central Peru), with comments on Pristimantis albertus Duellman & Hedges, 2007. ZooKeys 994: 125-148, DOI: http://dx.doi.org/10.3897/zookeys.994.56277, URL: http://dx.doi.org/10.3897/zookeys.994.56277
DOI: 10.5522/04/13194452
title: Widefield imaging data from the publication, Cortical State Fluctuations during Sensory Decision Making

description: This site contains the widefield imaging datasets from the publication Cortical State Fluctuations during Sensory Decision Making, by Jacobs et al in Current Biology.<br><br>This data is from the behavioural tasks described in the publication, and is in a compressed SVD format (see Methods in the publication for more details). The companion code is designed to take the data in this format.<br>The datasets provided here contain the top 500 singular values, which is how the data in the publication was analysed, as this was found to sufficiently capture the data. The data contaning up to 2000 singular values can be shared on request.<br>The timestamps of the datasets here are not all aligned with the behavioural datasets; the companion code takes care of this.<br><br>The data is organised by experimental subject; most subjects were recorded from on multiple days, which form subfolders within the subject folder. Within a day, there may have been several experiments, which again form subfolders within the day folder. The companion code expects this data organisation.<br><br>The companion code is available at: https://github.com/eakjacobs/Jacobs_et_al_CurrentBiology<br><br>For more information and links to the behavioural and pupil datasets, please follow this link: https://doi.org/10.6084/m9.figshare.13084805<br><br>The research article can be found (freely available) at https://www.cell.com/current-biology/fulltext/S0960-9822(20)31437-8
DOI: 10.5522/04/13194452.v1
title: Widefield imaging data from the publication, Cortical State Fluctuations during Sensory Decision Making

description: This site contains the widefield imaging datasets from the publication Cortical State Fluctuations during Sensory Decision Making, by Jacobs et al in Current Biology.<br><br>This data is from the behavioural tasks described in the publication, and is in a compressed SVD format (see Methods in the publication for more details). The companion code is designed to take the data in this format.<br>The datasets provided here contain the top 500 singular values, which is how the data in the publication was analysed, as this was found to sufficiently capture the data. The data contaning up to 2000 singular values can be shared on request.<br>The timestamps of the datasets here are not all aligned with the behavioural datasets; the companion code takes care of this.<br><br>The data is organised by experimental subject; most subjects were recorded from on multiple days, which form subfolders within the subject folder. Within a day, there may have been several experiments, which again form subfolders within the day folder. The companion code expects this data organisation.<br><br>The companion code is available at: https://github.com/eakjacobs/Jacobs_et_al_CurrentBiology<br><br>For more information and links to the behavioural and pupil datasets, please follow this link: https://doi.org/10.6084/m9.figshare.13084805<br><br>The research article can be found (freely available) at https://www.cell.com/current-biology/fulltext/S0960-9822(20)31437-8
DOI: 10.5517/ccdc.csd.cc1zy6qv
title: CCDC 1845328: Experimental Crystal Structure Determination

description: Related Article: Xu Cao, Jia Li, Anqiao Zhu, Fan Su, Weiwei Yao, Fei Xue, Mengtao Ma|2020|Org.Chem.Front.|7|3625|doi:10.1039/D0QO00938E
DOI: 10.5517/ccdc.csd.cc1zy6rw
title: CCDC 1845329: Experimental Crystal Structure Determination

description: Related Article: Xu Cao, Jia Li, Anqiao Zhu, Fan Su, Weiwei Yao, Fei Xue, Mengtao Ma|2020|Org.Chem.Front.|7|3625|doi:10.1039/D0QO00938E
DOI: 10.5517/ccdc.csd.cc1zy6sx
title: CCDC 1845330: Experimental Crystal Structure Determination

description: Related Article: Xu Cao, Jia Li, Anqiao Zhu, Fan Su, Weiwei Yao, Fei Xue, Mengtao Ma|2020|Org.Chem.Front.|7|3625|doi:10.1039/D0QO00938E
DOI: 10.5517/ccdc.csd.cc1zy6ty
title: CCDC 1845331: Experimental Crystal Structure Determination

description: Related Article: Xu Cao, Jia Li, Anqiao Zhu, Fan Su, Weiwei Yao, Fei Xue, Mengtao Ma|2020|Org.Chem.Front.|7|3625|doi:10.1039/D0QO00938E
DOI: 10.5517/ccdc.csd.cc21886t
title: CCDC 1884775: Experimental Crystal Structure Determination

description: Related Article: Roger Kloditz, Sebastian Fichter, Sebastian Kaufmann, Tobias S. Brunner, Peter Kaden, Michael Patzschke, Thorsten Stumpf, Peter W. Roesky, Moritz Schmidt, Juliane März|2020|Inorg.Chem.|59|15670|doi:10.1021/acs.inorgchem.0c01969
DOI: 10.5517/ccdc.csd.cc21883q
title: CCDC 1884772: Experimental Crystal Structure Determination

description: Related Article: Roger Kloditz, Sebastian Fichter, Sebastian Kaufmann, Tobias S. Brunner, Peter Kaden, Michael Patzschke, Thorsten Stumpf, Peter W. Roesky, Moritz Schmidt, Juliane März|2020|Inorg.Chem.|59|15670|doi:10.1021/acs.inorgchem.0c01969
DOI: 10.5517/ccdc.csd.cc230grc
title: CCDC 1936872: Experimental Crystal Structure Determination

description: Related Article: Roger Kloditz, Sebastian Fichter, Sebastian Kaufmann, Tobias S. Brunner, Peter Kaden, Michael Patzschke, Thorsten Stumpf, Peter W. Roesky, Moritz Schmidt, Juliane März|2020|Inorg.Chem.|59|15670|doi:10.1021/acs.inorgchem.0c01969
DOI: 10.5517/ccdc.csd.cc230gsd
title: CCDC 1936873: Experimental Crystal Structure Determination

description: Related Article: Roger Kloditz, Sebastian Fichter, Sebastian Kaufmann, Tobias S. Brunner, Peter Kaden, Michael Patzschke, Thorsten Stumpf, Peter W. Roesky, Moritz Schmidt, Juliane März|2020|Inorg.Chem.|59|15670|doi:10.1021/acs.inorgchem.0c01969
DOI: 10.5517/ccdc.csd.cc230gvg
title: CCDC 1936875: Experimental Crystal Structure Determination

description: Related Article: Roger Kloditz, Sebastian Fichter, Sebastian Kaufmann, Tobias S. Brunner, Peter Kaden, Michael Patzschke, Thorsten Stumpf, Peter W. Roesky, Moritz Schmidt, Juliane März|2020|Inorg.Chem.|59|15670|doi:10.1021/acs.inorgchem.0c01969
DOI: 10.5517/ccdc.csd.cc1ntkrs
title: CCDC 1543916: Experimental Crystal Structure Determination

description: Related Article: Erik Wächtler, Robert Gericke, Theresa Block, Rainer Pöttgen, Jörg Wagler|2020|Inorg.Chem.|59|15541|doi:10.1021/acs.inorgchem.0c02615
DOI: 10.5517/ccdc.csd.cc250lzs
title: CCDC 1996585: Experimental Crystal Structure Determination

description: Related Article: Erik Wächtler, Robert Gericke, Theresa Block, Rainer Pöttgen, Jörg Wagler|2020|Inorg.Chem.|59|15541|doi:10.1021/acs.inorgchem.0c02615
DOI: 10.5517/ccdc.csd.cc250m0v
title: CCDC 1996586: Experimental Crystal Structure Determination

description: Related Article: Erik Wächtler, Robert Gericke, Theresa Block, Rainer Pöttgen, Jörg Wagler|2020|Inorg.Chem.|59|15541|doi:10.1021/acs.inorgchem.0c02615
DOI: 10.5517/ccdc.csd.cc250m1w
title: CCDC 1996587: Experimental Crystal Structure Determination

description: Related Article: Erik Wächtler, Robert Gericke, Theresa Block, Rainer Pöttgen, Jörg Wagler|2020|Inorg.Chem.|59|15541|doi:10.1021/acs.inorgchem.0c02615
DOI: 10.5517/ccdc.csd.cc250m2x
title: CCDC 1996588: Experimental Crystal Structure Determination

description: Related Article: Erik Wächtler, Robert Gericke, Theresa Block, Rainer Pöttgen, Jörg Wagler|2020|Inorg.Chem.|59|15541|doi:10.1021/acs.inorgchem.0c02615
DOI: 10.5517/ccdc.csd.cc258ggd
title: CCDC 2004133: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258ghf
title: CCDC 2004134: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258gjg
title: CCDC 2004135: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258gkh
title: CCDC 2004136: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258glj
title: CCDC 2004137: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258gmk
title: CCDC 2004138: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258hts
title: CCDC 2004175: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258hvt
title: CCDC 2004176: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258hwv
title: CCDC 2004177: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258n59
title: CCDC 2004310: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258n6b
title: CCDC 2004311: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258n7c
title: CCDC 2004312: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258n8d
title: CCDC 2004313: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258n9f
title: CCDC 2004314: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258nbg
title: CCDC 2004315: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.5517/ccdc.csd.cc258nch
title: CCDC 2004316: Experimental Crystal Structure Determination

description: Related Article: Jade I. Fostvedt, Lauren N. Grant, Benjamin M. Kriegel, Andreas H. Obenhuber, Trevor D. Lohrey, Robert G. Bergman, John Arnold|2020|Chemical Science|11|11613|doi:10.1039/D0SC03489D
DOI: 10.3204/pubdb-2019-05558
title: Fe(II)-3-grid_MLCT33, CCDC No: 1942293 (2019)
DOI: 10.3204/pubdb-2019-05559
title: Fe(II)-3-grid_MLCT34, CCDC No: 1942294 (2019)
DOI: 10.3204/pubdb-2019-05561
title: Fe(II)-3-grid_MLCT35, CCDC No: 1942295 (2019)
DOI: 10.3204/pubdb-2019-05563
title: Fe(II)-3-grid_MLCT36, CCDC No: 1942296 (2019)
DOI: 10.5519/qd.epieasz9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (157 records)
DOI: 10.3204/pubdb-2019-05564
title: Fe(II)-3-grid_MLCT37, CCDC No: 1942297 (2019)
DOI: 10.5519/qd.5ouwb4nd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1935 records)
DOI: 10.21227/b6h7-x257
title: Set points obtained for generator G in large-scale study

description: This dataset provides more detailed results for the large-scale study in the paper "Voltage-Dependent Load Models in UnbalancedOptimal Power Flow using Power Cones".
DOI: 10.21227/ejz6-e574
title: Set points obtained for generator G in large-scale study

description: This dataset provides more detailed results for the large-scale study in the paper "Voltage-Dependent Load Models in UnbalancedOptimal Power Flow using Power Cones".
DOI: 10.21227/j177-fq57
title: LGPSDD:Light Guide Plate Surface Defect Detection

description: The LGP dataset (LGPSSD) consists of LGP samples collected from the industrial site through the image acquisition device of LGP defect detection system. In our dataset, NG samples are regarded as positive samples, and OK samples are regarded as negative samples. Each sample is a grayscale image with a size of 224 * 224 , and has two types of labels: One is the Mask label which is used to supervise the training process of the segmentation subnet, and the other is the classification label (NG corresponds to 1, and OK corresponds to 0), which is employed to supervise the training process of the decision subnet. The dataset totally contains 422 positive samples and 400 negative samples. Characteristics: The difference in density between the light guide point distribution of LGP images, the different size, shape and brightness of LGP defects.
DOI: 10.21227/b2qf-9c77
title: LGPSDD:Light Guide Plate Surface Defect Detection

description: The LGP dataset (LGPSSD) consists of LGP samples collected from the industrial site through the image acquisition device of LGP defect detection system. In our dataset, NG samples are regarded as positive samples, and OK samples are regarded as negative samples. Each sample is a grayscale image with a size of 224 * 224 , and has two types of labels: One is the Mask label which is used to supervise the training process of the segmentation subnet, and the other is the classification label (NG corresponds to 1, and OK corresponds to 0), which is employed to supervise the training process of the decision subnet. The dataset totally contains 422 positive samples and 400 negative samples. Characteristics: The difference in density between the light guide point distribution of LGP images, the different size, shape and brightness of LGP defects.
DOI: 10.5519/qd.v519tphx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (459 records)
DOI: 10.5519/qd.71wmlu81
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (113 records)
DOI: 10.3204/pubdb-2019-05566
title: Fe(II)-3-grid_MLCT38, CCDC No: 1942298 (2019)
DOI: 10.3204/pubdb-2019-05567
title: Fe(II)-3-grid_MLCT39, CCDC No: 1942299 (2019)
DOI: 10.5519/qd.9w872u75
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (14307 records)
DOI: 10.5519/qd.1sk88078
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (27 records)
DOI: 10.5519/qd.j632fe22
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (16 records)
DOI: 10.5519/qd.4zgz2azl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (575 records)
DOI: 10.5519/qd.dft7yyfr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (50834 records)
DOI: 10.3204/pubdb-2019-05574
title: Fe(II)-3-grid_MLCT46, CCDC No: 1942312 (2019)
DOI: 10.3204/pubdb-2019-05575
title: Fe(II)-3-grid_MLCT47, CCDC No: 1942313 (2019)
DOI: 10.3204/pubdb-2019-05576
title: Fe(II)-3-grid_MLCT48, CCDC No: 1942314 (2019)
DOI: 10.3204/pubdb-2019-05577
title: Fe(II)-3-grid_MLCT49, CCDC No: 1942315 (2019)
DOI: 10.5519/qd.dnacb0cx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8148 records)
DOI: 10.5519/qd.p1qe35t3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1483 records)
DOI: 10.3204/pubdb-2019-05578
title: Fe(II)-3-grid_MLCT50 Fe(II)-3-grid, TR1, CCDC No: 1942316 (2019)
DOI: 10.5281/zenodo.4279168
title: Salmon on the lam: Drivers of escaped farmed fish abundance in rivers

description: Abstract: The production of Atlantic salmon in aquaculture has grown substantially over the last 40 years. The unintentional release of domesticated salmon poses a significant risk to the long-term persistence of wild Atlantic salmon populations through ecological interactions and genetic introgression. Our ability to link aquaculture production to farmed escaped salmon in rivers is still limited and hinders identifying the appropriate production capacity of salmon aquaculture to reduce unwanted interactions between wild and escaped Atlantic salmon. Here, we use a 14-year dataset of farmed escapee abundance in rivers to model how the a priori selected covariables of wild salmon abundance, aquaculture intensity, river discharge, hydropower, and fjord placement of the river affects escapee abundance across 54 rivers in western Norway. Then, we evaluate the predictive strength of the model to provide context for its use to minimize escapees. We found that the abundance of farmed escaped Atlantic salmon in rivers is correlated to aquaculture intensity. Furthermore, the abundance of wild Atlantic salmon, mean yearly discharge, and the interaction between fjord placement and wild salmon abundance were important predictors of escapee abundance in rivers. The model was 40% accurate when predicting the abundance of farmed escaped salmon in rivers. However, the accuracy improved to 75% when using risk categories derived from modeled intrusion rates that induced long-term genetic changes to the wild population (low &lt; 4%, medium 4 – 10%, and high &gt; 10% escaped farmed salmon). <em>Synthesis and applications: </em>This study links aquaculture production, at relevant spatiotemporal scales (75 km from rivers), to the abundance of escaped farmed Atlantic salmon in rivers, and provides governmental agencies with a tool to help regulate domesticated salmon production based on the carrying capacity of the system to buffer against introgression between conspecifics. Furthermore, understanding this relationship will be beneficial when establishing new aquaculture sites in pristine ecosystems where they would overlap with wild Atlantic salmon. Finally, future mitigation efforts should continue to focus on new technologies (e.g., triploid females) that can eliminate the risk of introgression without limiting aquaculture production.
DOI: 10.5281/zenodo.4279167
title: Salmon on the lam: Drivers of escaped farmed fish abundance in rivers

description: Abstract: The production of Atlantic salmon in aquaculture has grown substantially over the last 40 years. The unintentional release of domesticated salmon poses a significant risk to the long-term persistence of wild Atlantic salmon populations through ecological interactions and genetic introgression. Our ability to link aquaculture production to farmed escaped salmon in rivers is still limited and hinders identifying the appropriate production capacity of salmon aquaculture to reduce unwanted interactions between wild and escaped Atlantic salmon. Here, we use a 14-year dataset of farmed escapee abundance in rivers to model how the a priori selected covariables of wild salmon abundance, aquaculture intensity, river discharge, hydropower, and fjord placement of the river affects escapee abundance across 54 rivers in western Norway. Then, we evaluate the predictive strength of the model to provide context for its use to minimize escapees. We found that the abundance of farmed escaped Atlantic salmon in rivers is correlated to aquaculture intensity. Furthermore, the abundance of wild Atlantic salmon, mean yearly discharge, and the interaction between fjord placement and wild salmon abundance were important predictors of escapee abundance in rivers. The model was 40% accurate when predicting the abundance of farmed escaped salmon in rivers. However, the accuracy improved to 75% when using risk categories derived from modeled intrusion rates that induced long-term genetic changes to the wild population (low &lt; 4%, medium 4 – 10%, and high &gt; 10% escaped farmed salmon). <em>Synthesis and applications: </em>This study links aquaculture production, at relevant spatiotemporal scales (75 km from rivers), to the abundance of escaped farmed Atlantic salmon in rivers, and provides governmental agencies with a tool to help regulate domesticated salmon production based on the carrying capacity of the system to buffer against introgression between conspecifics. Furthermore, understanding this relationship will be beneficial when establishing new aquaculture sites in pristine ecosystems where they would overlap with wild Atlantic salmon. Finally, future mitigation efforts should continue to focus on new technologies (e.g., triploid females) that can eliminate the risk of introgression without limiting aquaculture production.