📥 Inbound Notifications 669

Time â–¾ Id From To Type Content
2026-04-05 06:52:52 urn:uuid:87520617-436c-46c2-890b-7bd0ac5435b6 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:87520617-436c-46c2-890b-7bd0ac5435b6",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-04728670v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "MATLAB",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Basic data analysis was carried out by scripts written in MATLAB, and all data fitting was generated using Origin 9.0."
        ]
    }
}
2026-04-05 06:52:52 urn:uuid:1e1733b9-cfc7-4d16-9b21-6cb66a9efdf5 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:1e1733b9-cfc7-4d16-9b21-6cb66a9efdf5",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-04728670v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Bio-Kine",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "The kinetic traces were analyzed using Bio-Kine (version 4.26, Bio-Logic, France) using Eq. (  ):"
        ]
    }
}
2026-04-05 06:52:47 urn:uuid:fc0dc1ce-4b27-4885-a836-e681b61d3679 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:fc0dc1ce-4b27-4885-a836-e681b61d3679",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-04211805v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "ImageJ",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Protein band quantification was carried out using ImageJ software."
        ]
    }
}
2026-04-05 06:52:47 urn:uuid:817aaedd-f8aa-49ba-877e-7a1b921ff738 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:817aaedd-f8aa-49ba-877e-7a1b921ff738",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-04211805v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "pClamp",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Flash intensity and duration were controlled through pClamp and the Digidata analog output."
        ]
    }
}
2026-04-05 06:52:47 urn:uuid:14474c38-1d70-4933-a9ec-cb692fe74eb6 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:14474c38-1d70-4933-a9ec-cb692fe74eb6",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-04211805v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "pClamp-8",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Signals were filtered at 2 kHz and digitized at 10 kHz, using a MultiClamp 700A amplifier, a Digidata 1322A interface and pClamp-8 software (Molecular Devices, Sunnyvale, USA)."
        ]
    }
}
2026-04-05 06:52:43 urn:uuid:a4046913-3d7b-40c2-bfdf-c375892a90bc https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:a4046913-3d7b-40c2-bfdf-c375892a90bc",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/insu-01259503v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "TEMPO",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "TEMPO2 applies clock corrections based on the location of each observatory and Earth rotation data to convert TOAs to terrestrial time (TT 23 ).",
            "We used the TEMPO2 software package                   ) to perform least-squares fitting of various pulsar parameters by minimizing the square of the differences between expected and measured TOAs.",
            "We directed TEMPO2 to fit for constant offsets between TOA sets from different observatories by bracketing each TOA set with JUMP statements.",
            "The DMs of J1949+3106 and J1955+2527 and their uncertainties (Table 2) were determined by TEMPO2 fits to TOAs extracted from several frequency subbands per observation.",
            "Both predictions are within an order of magnitude of our estimates based on the DM uncertainties reported by TEMPO2 above."
        ]
    }
}
2026-04-05 06:52:40 urn:uuid:e97ffadb-a9e1-47fc-ae01-bde8727965d7 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:e97ffadb-a9e1-47fc-ae01-bde8727965d7",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-03611285v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "ANSYS",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Finite element: Plane 42 in ANSYS \u00ae software.",
            "All simulations carried out in this study are performed by Finite Element Method (FEM), using ANSYS \u00ae commercial software.",
            "On the contrary, transient analysis with contact conditions is allowed in FE softwares such as ANSYS \u00ae , but it is not possible to simulate the whole experimental set-up because the computing time is prohibitive with this implicit FE software.",
            "Consequently, in this section, simplified numerical models are considered for static and transient analysis using ANSYS \u00ae software in order to evaluate the effect of contact between solids.",
            "The optimal values for the design parameters were obtained from numerical simulation through modal and harmonic analysis performed with the ANSYS \u00ae FEM software."
        ]
    }
}
2026-04-05 06:52:39 urn:uuid:777bf417-e69a-4ff2-90ce-7cd75ba7bdad https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:777bf417-e69a-4ff2-90ce-7cd75ba7bdad",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-03657391v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "MATLAB",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "MATLAB scripts used in the present study are provided in the Supplementary Material."
        ]
    }
}
2026-04-05 06:52:39 urn:uuid:2724bff0-5acc-4092-976f-e1a82b10c92a https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:2724bff0-5acc-4092-976f-e1a82b10c92a",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-03657391v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "MATLAB Classification Toolbox",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "These models are available in the MATLAB Classification Toolbox.",
            "For disordered-ordered classification, the following built-in models of the MATLAB Classification Toolbox were used."
        ]
    }
}
2026-04-05 06:52:29 urn:uuid:13b376f0-be75-48d6-a4eb-4e59218767e2 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:13b376f0-be75-48d6-a4eb-4e59218767e2",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/inria-00359515v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "GreenLab",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "GreenLab is a discrete time model whose time step is called Growth Cycle.",
            "GreenLab is a complex branching process.",
            "The complete GreenLab development model mixes branching and differentiation.",
            "6 3 Describing GreenLab organogenesis with stochastic F0L-system 6 3.1 Main botanical concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .",
            "This corresponds to a GreenLab model with differentiation and a very simple branching.",
            "7 3.2 Stochastic F0L-systems in the GreenLab growth model . . . . . . . . . . . . .",
            "We recall some basic concepts about the GreenLab model of plant development (see de Reffye et al. (2003) for more details on the botanical modelling).",
            "This framework was applied successfully to the GreenLab organogenesis model, by decomposing the development process into two botanical sub-processes, branching and meristem differentiation.",
            "As shown in Kang et al. (2007) and Loi and Courn\u00e8de (2008), GreenLab can be described by a stochastic F0L-system G tot = V, \u03a0 tot .",
            "Then, we explain how a stochastic grammar can be derived from the GreenLab growth model.",
            "In the sequel, the aim is to apply the method developped in Section 2.3 to the GreenLab model of plant organogenesis.",
            "This article shows the relationship between stochastic L-Systems and a simplified GreenLab growth model with only branching and differentiation.",
            "Cet article \u00e9tablit la relation entre L-syst\u00e8mes stochastiques et le mod\u00e8le de d\u00e9veloppement GreenLab simplifi\u00e9 avec seulement branchement et diff\u00e9renciation.",
            "It could correspond to a herbaceous plant with a topology close to that of Arabidopsis or Rapeseed (see Christophe et al. (2008) for an application of the GreenLab model to Arabidopsis), see Figure 4. Table 3 gives the results for 50 000 simulations.",
            "Mots-cl\u00e9s : L-syst\u00e8me stochastique, processus de branchement multitype, phase-type, fonctions g\u00e9n\u00e9ratrices, d\u00e9veloppement v\u00e9g\u00e9tal, mod\u00e8les de croissance de plantes, GreenLab"
        ]
    }
}
2026-04-05 06:52:26 urn:uuid:481fb9b1-df82-473a-914c-d1878f79e57d https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:481fb9b1-df82-473a-914c-d1878f79e57d",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-04615699v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "GraphPad Prism",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Analyses were performed using GraphPad Prism 9.0 (GraphPad Software, Inc., San Diego, CA)."
        ]
    }
}
2026-04-05 06:52:08 urn:uuid:6b657f66-80bd-48f7-96a0-a72a28cc6c5d https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:6b657f66-80bd-48f7-96a0-a72a28cc6c5d",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-04715808v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "SPSS",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "The data analysis was conducted using IBM SPSS 21."
        ]
    }
}
2026-04-05 06:52:05 urn:uuid:b275827a-d72a-4e6b-977d-1f8089c37f73 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:b275827a-d72a-4e6b-977d-1f8089c37f73",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-04689870v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "HyMeX",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Au-del\u00e0 de ces quelques stations, les mod\u00e8les num\u00e9riques utilis\u00e9s par le              , les \u00e9valuations r\u00e9alis\u00e9es dans le cadre d'HyMeX                          et les estimations RTM, simulent l'\u00e9coulement de d\u00e9bits inject\u00e9s dans le cours d'eau, pour essayer d'atteindre les niveaux des rep\u00e8res des plus hautes eaux (PHE) ou ceux des traces laiss\u00e9es par les crues lors des d\u00e9bordements (laisses de crues ; Figure  )."
        ]
    }
}
2026-04-05 06:52:04 urn:uuid:545eb2cc-56e6-4c14-a7e7-d310837f960d https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:545eb2cc-56e6-4c14-a7e7-d310837f960d",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/dumas-05136699v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "EasyMedStat",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Statistical analysis was performed using EasyMedStat (version 3.38; www.easymedstat.com)."
        ]
    }
}
2026-04-05 06:51:56 urn:uuid:315e4f1f-d8a6-455e-b9e1-1ba1e1e69785 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:315e4f1f-d8a6-455e-b9e1-1ba1e1e69785",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/tel-04050419v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Matlab",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Les images ont ensuite \u00e9t\u00e9 trait\u00e9es sur le logiciel Matlab\u00ae.",
            "Les mod\u00e8les appliqu\u00e9s sous Excel\u00ae (Microsoft Corporation, Redmond, WA, USA) et Matlab\u00ae (MathWorks Inc, Natick, MA, USA) sur les cin\u00e9tiques de s\u00e9chage des sargasses sont r\u00e9sum\u00e9s dans le Tableau VII."
        ]
    }
}
2026-04-05 06:51:56 urn:uuid:0701a181-93a2-4c2c-aef5-f7bface382a7 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:0701a181-93a2-4c2c-aef5-f7bface382a7",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/tel-04050419v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "SpecView",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "La temp\u00e9rature de l'air dans l'enceinte a \u00e9t\u00e9 suivie \u00e0 l'aide de thermocouples reli\u00e9s via une centrale d'acquisition \u00e0 un microordinateur \u00e9quip\u00e9 du logiciel SpecView (Version 2, Oakville, Canada)."
        ]
    }
}
2026-04-05 06:51:52 urn:uuid:9efd88cf-baba-40ca-8cd5-5405cdd1755a https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:9efd88cf-baba-40ca-8cd5-5405cdd1755a",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-04575470v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "MATLAB",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "The MATLAB function randn in the algorithm generates a vector in R \u2113 with normally distributed pseudorandom entries with mean zero and variance one.",
            "Using MATLAB notation, A pi, :, :q, A p:, j, :q, and A p:, :, kq denote the ith horizontal, the jth lateral, and the kth frontal slices of A , respectively.",
            "Using MATLAB notations, we have A \" fftpA , r s, 3q.",
            "The inverse operation can be evaluated in MATLAB with the command A \" ifftp A , r s, 3q.",
            "All computations are carried out on a laptop computer with 2.3 GHz Intel Core i5 processors and 8 GB of memory using MATLAB 2018a."
        ]
    }
}
2026-04-05 06:51:48 urn:uuid:21447ac1-16f0-4cfc-ab85-db57bb3fd4a3 https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:21447ac1-16f0-4cfc-ab85-db57bb3fd4a3",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-03584011v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "TCPDF",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Powered by TCPDF (www.tcpdf.org)"
        ]
    }
}
2026-04-05 06:51:34 urn:uuid:1ca9a563-52e6-4129-bcf9-c13921614b5b https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:1ca9a563-52e6-4129-bcf9-c13921614b5b",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-03862440v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "PyFstat",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "Software: LALSuite (LIGO Scientific Collaboration 2018), LatticeTiling (Wette 2014), PyFstat (Ashton & Prix 2018;Keitel et al. 2021;Ashton et al. 2022) numpy (Harris et al. 2020), matplotlib (Hunter 2007), scipy (Virtanen et al. 2020).",
            "An additional, complementary, multistage MCMC follow-up using the method described in                       using the PyFstat package                                                          ) was applied to the 22 outliers using the same configuration as in                      ."
        ]
    }
}
2026-04-05 06:51:28 urn:uuid:db399e5c-3ec9-4044-b0c2-6462a2437cea https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
{
    "@context": [
        "https://www.w3.org/ns/activitystreams",
        "https://purl.org/coar/notify"
    ],
    "id": "urn:uuid:db399e5c-3ec9-4044-b0c2-6462a2437cea",
    "type": [
        "Offer",
        "coar-notify:ReviewAction"
    ],
    "actor": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "name": "Inria DataLake"
    },
    "origin": {
        "id": "https://datalake.inria.fr",
        "type": "Service",
        "inbox": "https://prod-datadcis-api.inria.fr/coar/inbox"
    },
    "target": {
        "id": "https://inria.hal.science",
        "type": "Service",
        "inbox": "https://inbox.hal.science"
    },
    "object": {
        "id": "https://hal.science/hal-05233341v1",
        "ietf:cite-as": null,
        "sorg:citation": {
            "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
            "type": "SoftwareSourceCode",
            "name": "Paleontological Statistics Software Package for Education and Data Analysis. Palaeontologia Electronica 4",
            "codeRepository": null,
            "referencePublication": null
        },
        "mentionType": "software",
        "mentionContext": [
            "PAST: Paleontological Statistics Software Package for Education and Data Analysis. Palaeontologia Electronica 4(1): 9pp."
        ]
    }
}