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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Oboh, Eugene;

    The Biofilm grazer model is an agent based model (ABM) built upon the MESA ABM framework ( https://mesa.readthedocs.io/en/stable/ ). The model helps us understand the effects of nutrient, light and grazing on the spatio-temporal development of rivernine biofilm. Instructions from the README.md will help you set up the environment and run the model.

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    Authors: Buttigieg, Pier Luigi; Christoffersen, Shannon; Ingram, Rebekah; Manley, William; +11 Authors

    In this letter, we introduce The Polar Vocabularies and Semantics Working Group, originally established as a joint effort between the joint SAON/IASC Arctic Data Committee and the Data Management Collaboration Team of the Interagency Arctic Research Policy Committee. We Invite, communities of practice to actively engage with us in our activities (described below), to advance the state of semantics-based applications in polar activities (and to increase interoperability between stakeholders and rights holders within existing and emerging digital ecosystems).

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    Authors: Dromgool-Regan, Cushla; McCrea, Mona;

    The Mermaids Purse Identification Key (438mmx 310mm) is an excellent resource where teachers and children can work individually, or as teams on the seashore or in the classroom to identify shark and skate egg cases found on the shoreline. It is recommended that the 2-page key is printed on an A3 sheet and cut to size. The key provides ten of the most popular egg cases of skates and sharks found on the seashore in Ireland. The pictures of the egg cases are grouped based on their features, and images are based on their real size to help children easily identify them. The key is colour-coded and encourages children to use their logic to work out the types of species cases based on their description of size, colour, shape and special features. Images of the adult species and links to citizen science projects are also provided, encouraging children to register data collected about the mermaid's purses they have found. The Mermaids Purse Identification Key (438mmx 310mm) is an excellent resource where teachers and children can work individually or as teams on the seashore or in the classroom to identify shark and skate egg cases found on the shoreline. It is recommended that the 2-page key is printed on an A3 sheet and cut to size. Marine Institute

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    Authors: Veiros, Li; Schweinfurth, Manon K.; Webster, Mike M.;

    This work was funded by an EASTBIO DTP scholarship to A. Li Veiros. Cooperative behaviours, which benefit a recipient, are widespread in the animal kingdom; yet their evolution is not straightforward. Reciprocity, i.e., cooperating with previously experienced cooperative partners, has been suggested to underly cooperation, but has been contested throughout the years. Once a textbook example of reciprocity was cooperative predator inspection, where one or several individuals leave their group to approach a potential threat. Each can at any point stop or retreat, increasing the risk for its partner. It was suggested that inspecting individuals follow a specific reciprocal strategy called tit-for-tat, i.e., cooperating on the first move and then copying the partner's last move. Numerous studies provide evidence to support the claim that fish cooperate to inspect predators, including three-spined sticklebacks (Gasterosteus aculeatus), guppies (Poecilia reticulata) and minnows (Phoxinus phoxinus). However, over the past few decades some scholars have expressed scepticism whether predator inspection is indeed a cooperative behaviour or rather a case of by-product mutualism, which describes behaviours that benefit a partner as a corollary of an otherwise selfish behaviour. For instance, it has been shown that pairs of fish moving in unfamiliar environments appear to coordinate movements even in the absence of predators. Many studies have also used coarse measures of overall approach rates towards predators rather than the fine-grained analyses necessary to infer tit-for-tat in cooperative inspections. Now is the time to return to the question of cooperative predator inspection with new tools and approaches to resolve a decades-old debate. Peer reviewed

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    Authors: Martínez Moreno, Josué;

    This dataset includes the NEMO 4.0.2 configuration used and analysed in the paper titled "Eddy-driven heterogeneity in sea ice during the ice-growth season". The output data is approximately 4TB for the 3 idealised configuration used in the manuscript, thus we opted to distribute the configuration. Note: The initial conditions for each simulation are compressed into the file `init_cond.zip` The configuration for one of the simulations is compressed in the file `config.zip` In order to reproduce all the runs, it's only required to change the initial conditions in the file namelist_cfg and namelist_ice_cfg. Further information and scripts to reproduce the result of the manuscript can be found at: https://github.com/josuemtzmo/Ice_formation

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    Authors: King, Amy;

    Bootstrapped Monte Carlo spline and confidence interval generation for ice core gas records in: 'Reconciling ice core CO2 and land-use change following New World-Old World contact'.

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    Authors: Banerjee, Tridib; Danilov, Sergey; Scholz, Patrick; Klingbeil, Knut; +1 Authors

    FESOM2.5 code with preliminary implementation of the Split-Explicit external mode solver. This project is a contribution to the projects M5 (Reducing spurious mixing and energetic inconsistencies in realistic ocean modelling applications) and S2 (Improved parameterisations and numerics in climate models) of the Collaborative Research Centre TRR 181 "Energy Transfer in Atmosphere and Ocean" funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Projektnummer 274762653.

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    Authors: Susana Carvalho; Hailey Shchepanik; Eva Aylagas; Michael L Berumen; +17 Authors

    Managing marine nonindigenous species (mNIS) is challenging, because marine environments are highly connected, allowing the dispersal of species across large spatial scales, including geopolitical borders. Cross-border inconsistencies in biosecurity management can promote the spread of mNIS across geopolitical borders, and incursions often go unnoticed or unreported. Collaborative surveillance programs can enhance the early detection of mNIS, when response may still be possible, and can foster capacity building around a common threat. Regional or international databases curated for mNIS can inform local monitoring programs and can foster real-time information exchange on mNIS of concern. When combined, local species reference libraries, publicly available mNIS databases, and predictive modeling can facilitate the development of biosecurity programs in regions lacking baseline data. Biosecurity programs should be practical, feasible, cost-effective, mainly focused on prevention and early detection, and be built on the collaboration and coordination of government, nongovernment organizations, stakeholders, and local citizens for a rapid response.

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    Authors: Carreras, Joaquim;

    BCL6 IGH rearrangement FISH images and cases (excel)

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    Authors: Dromant Bellver, Beatriz;

    This document summarizes the key aspects of the EU Commission's strategy to harness the potential of offshore renewable energy.

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    Authors: Oboh, Eugene;

    The Biofilm grazer model is an agent based model (ABM) built upon the MESA ABM framework ( https://mesa.readthedocs.io/en/stable/ ). The model helps us understand the effects of nutrient, light and grazing on the spatio-temporal development of rivernine biofilm. Instructions from the README.md will help you set up the environment and run the model.

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    Authors: Buttigieg, Pier Luigi; Christoffersen, Shannon; Ingram, Rebekah; Manley, William; +11 Authors

    In this letter, we introduce The Polar Vocabularies and Semantics Working Group, originally established as a joint effort between the joint SAON/IASC Arctic Data Committee and the Data Management Collaboration Team of the Interagency Arctic Research Policy Committee. We Invite, communities of practice to actively engage with us in our activities (described below), to advance the state of semantics-based applications in polar activities (and to increase interoperability between stakeholders and rights holders within existing and emerging digital ecosystems).

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    Authors: Dromgool-Regan, Cushla; McCrea, Mona;

    The Mermaids Purse Identification Key (438mmx 310mm) is an excellent resource where teachers and children can work individually, or as teams on the seashore or in the classroom to identify shark and skate egg cases found on the shoreline. It is recommended that the 2-page key is printed on an A3 sheet and cut to size. The key provides ten of the most popular egg cases of skates and sharks found on the seashore in Ireland. The pictures of the egg cases are grouped based on their features, and images are based on their real size to help children easily identify them. The key is colour-coded and encourages children to use their logic to work out the types of species cases based on their description of size, colour, shape and special features. Images of the adult species and links to citizen science projects are also provided, encouraging children to register data collected about the mermaid's purses they have found. The Mermaids Purse Identification Key (438mmx 310mm) is an excellent resource where teachers and children can work individually or as teams on the seashore or in the classroom to identify shark and skate egg cases found on the shoreline. It is recommended that the 2-page key is printed on an A3 sheet and cut to size. Marine Institute

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    Authors: Veiros, Li; Schweinfurth, Manon K.; Webster, Mike M.;

    This work was funded by an EASTBIO DTP scholarship to A. Li Veiros. Cooperative behaviours, which benefit a recipient, are widespread in the animal kingdom; yet their evolution is not straightforward. Reciprocity, i.e., cooperating with previously experienced cooperative partners, has been suggested to underly cooperation, but has been contested throughout the years. Once a textbook example of reciprocity was cooperative predator inspection, where one or several individuals leave their group to approach a potential threat. Each can at any point stop or retreat, increasing the risk for its partner. It was suggested that inspecting individuals follow a specific reciprocal strategy called tit-for-tat, i.e., cooperating on the first move and then copying the partner's last move. Numerous studies provide evidence to support the claim that fish cooperate to inspect predators, including three-spined sticklebacks (Gasterosteus aculeatus), guppies (Poecilia reticulata) and minnows (Phoxinus phoxinus). However, over the past few decades some scholars have expressed scepticism whether predator inspection is indeed a cooperative behaviour or rather a case of by-product mutualism, which describes behaviours that benefit a partner as a corollary of an otherwise selfish behaviour. For instance, it has been shown that pairs of fish moving in unfamiliar environments appear to coordinate movements even in the absence of predators. Many studies have also used coarse measures of overall approach rates towards predators rather than the fine-grained analyses necessary to infer tit-for-tat in cooperative inspections. Now is the time to return to the question of cooperative predator inspection with new tools and approaches to resolve a decades-old debate. Peer reviewed

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    Authors: Martínez Moreno, Josué;

    This dataset includes the NEMO 4.0.2 configuration used and analysed in the paper titled "Eddy-driven heterogeneity in sea ice during the ice-growth season". The output data is approximately 4TB for the 3 idealised configuration used in the manuscript, thus we opted to distribute the configuration. Note: The initial conditions for each simulation are compressed into the file `init_cond.zip` The configuration for one of the simulations is compressed in the file `config.zip` In order to reproduce all the runs, it's only required to change the initial conditions in the file namelist_cfg and namelist_ice_cfg. Further information and scripts to reproduce the result of the manuscript can be found at: https://github.com/josuemtzmo/Ice_formation

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